id	sid	tid	token	lemma	pos
cana-4961	1	1	communications	communication	NOUN
cana-4961	1	2	on	on	ADP
cana-4961	1	3	applied	apply	VERB
cana-4961	1	4	nonlinear	nonlinear	ADJ
cana-4961	1	5	analysis	analysis	NOUN
cana-4961	1	6	issn	issn	NOUN
cana-4961	1	7	:	:	PUNCT
cana-4961	1	8	1074	1074	NUM
cana-4961	1	9	-	-	PUNCT
cana-4961	1	10	133x	133x	NUM
cana-4961	1	11	vol	vol	VERB
cana-4961	1	12	32	32	NUM
cana-4961	1	13	no	no	NOUN
cana-4961	1	14	.	.	PUNCT
cana-4961	2	1	10s	10	NOUN
cana-4961	2	2	(	(	PUNCT
cana-4961	2	3	2025	2025	NUM
cana-4961	2	4	)	)	PUNCT
cana-4961	2	5	1083	1083	NUM
cana-4961	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	2	7	machine	machine	NOUN
cana-4961	2	8	learning	learning	NOUN
cana-4961	2	9	-	-	PUNCT
cana-4961	2	10	based	base	VERB
cana-4961	2	11	predictive	predictive	ADJ
cana-4961	2	12	analysis	analysis	NOUN
cana-4961	2	13	of	of	ADP
cana-4961	2	14	car	car	NOUN
cana-4961	2	15	braking	braking	NOUN
cana-4961	2	16	system	system	NOUN
cana-4961	2	17	1anantharaman	1anantharaman	PROPN
cana-4961	2	18	prakash	prakash	PROPN
cana-4961	2	19	,	,	PUNCT
cana-4961	2	20	2prof	2prof	NUM
cana-4961	2	21	.	.	PUNCT
cana-4961	3	1	dr	dr	PROPN
cana-4961	3	2	.	.	PROPN
cana-4961	3	3	c.b	c.b	PROPN
cana-4961	3	4	.	.	PROPN
cana-4961	3	5	senthil	senthil	PROPN
cana-4961	3	6	kumar	kumar	PROPN
cana-4961	3	7	1research	1research	PROPN
cana-4961	3	8	scholar	scholar	NOUN
cana-4961	3	9	,	,	PUNCT
cana-4961	3	10	faculty	faculty	NOUN
cana-4961	3	11	of	of	ADP
cana-4961	3	12	management	management	NOUN
cana-4961	3	13	studies	study	NOUN
cana-4961	3	14	,	,	PUNCT
cana-4961	3	15	dr	dr	PROPN
cana-4961	3	16	.	.	PROPN
cana-4961	3	17	m.g.r	m.g.r	PROPN
cana-4961	3	18	educational	educational	PROPN
cana-4961	3	19	and	and	CCONJ
cana-4961	3	20	research	research	PROPN
cana-4961	3	21	institute	institute	PROPN
cana-4961	3	22	,	,	PUNCT
cana-4961	3	23	chennai	chennai	PROPN
cana-4961	3	24	.	.	PUNCT
cana-4961	4	1	mail	mail	NOUN
cana-4961	5	1	i	i	PROPN
cana-4961	5	2	d	d	PROPN
cana-4961	5	3	:	:	PUNCT
cana-4961	6	1	a.ananthgoutham6@gmail.com	a.ananthgoutham6@gmail.com	PROPN
cana-4961	6	2	2dean	2dean	NUM
cana-4961	6	3	arts	art	NOUN
cana-4961	6	4	&	&	CCONJ
cana-4961	6	5	commerce	commerce	PROPN
cana-4961	6	6	,	,	PUNCT
cana-4961	6	7	dr	dr	PROPN
cana-4961	6	8	.	.	PROPN
cana-4961	6	9	mgr	mgr	PROPN
cana-4961	6	10	educational	educational	ADJ
cana-4961	6	11	and	and	CCONJ
cana-4961	6	12	research	research	NOUN
cana-4961	6	13	institute	institute	PROPN
cana-4961	6	14	,	,	PUNCT
cana-4961	6	15	chennai	chennai	PROPN
cana-4961	6	16	.	.	PUNCT
cana-4961	7	1	mail	mail	NOUN
cana-4961	8	1	i	i	PROPN
cana-4961	8	2	d	d	PROPN
cana-4961	8	3	:	:	PUNCT
cana-4961	8	4	dean-fac@drmgrdu.ac.in	dean-fac@drmgrdu.ac.in	PROPN
cana-4961	8	5	article	article	NOUN
cana-4961	8	6	history	history	NOUN
cana-4961	8	7	:	:	PUNCT
cana-4961	8	8	received	receive	VERB
cana-4961	8	9	:	:	PUNCT
cana-4961	8	10	12	12	NUM
cana-4961	8	11	-	-	SYM
cana-4961	8	12	01	01	NUM
cana-4961	8	13	-	-	PUNCT
cana-4961	8	14	2025	2025	NUM
cana-4961	8	15	revised	revise	VERB
cana-4961	8	16	:	:	PUNCT
cana-4961	8	17	15	15	NUM
cana-4961	8	18	-	-	NUM
cana-4961	8	19	02	02	NUM
cana-4961	8	20	-	-	PUNCT
cana-4961	8	21	2025	2025	NUM
cana-4961	8	22	accepted	accept	VERB
cana-4961	8	23	:	:	PUNCT
cana-4961	8	24	01	01	NUM
cana-4961	8	25	-	-	SYM
cana-4961	8	26	03	03	NUM
cana-4961	8	27	-	-	PUNCT
cana-4961	8	28	2025	2025	NUM
cana-4961	8	29	abstract	abstract	NOUN
cana-4961	8	30	:	:	PUNCT
cana-4961	8	31	predictive	predictive	ADJ
cana-4961	8	32	maintenance	maintenance	NOUN
cana-4961	8	33	of	of	ADP
cana-4961	8	34	vehicle	vehicle	NOUN
cana-4961	8	35	braking	brake	VERB
cana-4961	8	36	systems	system	NOUN
cana-4961	8	37	using	use	VERB
cana-4961	8	38	machine	machine	NOUN
cana-4961	8	39	learning	learning	NOUN
cana-4961	8	40	approaches	approach	NOUN
cana-4961	8	41	is	be	AUX
cana-4961	8	42	the	the	DET
cana-4961	8	43	focus	focus	NOUN
cana-4961	8	44	of	of	ADP
cana-4961	8	45	this	this	DET
cana-4961	8	46	research	research	NOUN
cana-4961	8	47	.	.	PUNCT
cana-4961	9	1	to	to	PART
cana-4961	9	2	foresee	foresee	VERB
cana-4961	9	3	any	any	DET
cana-4961	9	4	issues	issue	NOUN
cana-4961	9	5	before	before	SCONJ
cana-4961	9	6	they	they	PRON
cana-4961	9	7	happen	happen	VERB
cana-4961	9	8	,	,	PUNCT
cana-4961	9	9	the	the	DET
cana-4961	9	10	study	study	NOUN
cana-4961	9	11	analyses	analyse	VERB
cana-4961	9	12	data	datum	NOUN
cana-4961	9	13	from	from	ADP
cana-4961	9	14	vehicle	vehicle	NOUN
cana-4961	9	15	braking	brake	VERB
cana-4961	9	16	systems	system	NOUN
cana-4961	9	17	'	'	PART
cana-4961	9	18	sensors	sensor	NOUN
cana-4961	9	19	using	use	VERB
cana-4961	9	20	a	a	DET
cana-4961	9	21	number	number	NOUN
cana-4961	9	22	of	of	ADP
cana-4961	9	23	machine	machine	NOUN
cana-4961	9	24	learning	learn	VERB
cana-4961	9	25	techniques	technique	NOUN
cana-4961	9	26	.	.	PUNCT
cana-4961	10	1	data	datum	NOUN
cana-4961	10	2	on	on	ADP
cana-4961	10	3	temperature	temperature	NOUN
cana-4961	10	4	,	,	PUNCT
cana-4961	10	5	pressure	pressure	NOUN
cana-4961	10	6	,	,	PUNCT
cana-4961	10	7	vibration	vibration	NOUN
cana-4961	10	8	patterns	pattern	NOUN
cana-4961	10	9	,	,	PUNCT
cana-4961	10	10	and	and	CCONJ
cana-4961	10	11	wear	wear	VERB
cana-4961	10	12	metrics	metric	NOUN
cana-4961	10	13	were	be	AUX
cana-4961	10	14	included	include	VERB
cana-4961	10	15	in	in	ADP
cana-4961	10	16	a	a	DET
cana-4961	10	17	comprehensive	comprehensive	ADJ
cana-4961	10	18	dataset	dataset	NOUN
cana-4961	10	19	that	that	PRON
cana-4961	10	20	included	include	VERB
cana-4961	10	21	readings	reading	NOUN
cana-4961	10	22	from	from	ADP
cana-4961	10	23	several	several	ADJ
cana-4961	10	24	vehicle	vehicle	NOUN
cana-4961	10	25	kinds	kind	NOUN
cana-4961	10	26	'	'	PART
cana-4961	10	27	brake	brake	NOUN
cana-4961	10	28	systems	system	NOUN
cana-4961	10	29	.	.	PUNCT
cana-4961	11	1	based	base	VERB
cana-4961	11	2	on	on	ADP
cana-4961	11	3	the	the	DET
cana-4961	11	4	research	research	NOUN
cana-4961	11	5	,	,	PUNCT
cana-4961	11	6	the	the	DET
cana-4961	11	7	best	well	ADV
cana-4961	11	8	predicted	predict	VERB
cana-4961	11	9	accuracy	accuracy	NOUN
cana-4961	11	10	was	be	AUX
cana-4961	11	11	achieved	achieve	VERB
cana-4961	11	12	by	by	ADP
cana-4961	11	13	random	random	ADJ
cana-4961	11	14	forest	forest	NOUN
cana-4961	11	15	and	and	CCONJ
cana-4961	11	16	neural	neural	ADJ
cana-4961	11	17	network	network	NOUN
cana-4961	11	18	models	model	NOUN
cana-4961	11	19	,	,	PUNCT
cana-4961	11	20	at	at	ADP
cana-4961	11	21	92.7	92.7	NUM
cana-4961	11	22	%	%	NOUN
cana-4961	11	23	and	and	CCONJ
cana-4961	11	24	91.5	91.5	NUM
cana-4961	11	25	%	%	NOUN
cana-4961	11	26	,	,	PUNCT
cana-4961	11	27	respectively	respectively	ADV
cana-4961	11	28	.	.	PUNCT
cana-4961	12	1	this	this	PRON
cana-4961	12	2	allowed	allow	VERB
cana-4961	12	3	for	for	SCONJ
cana-4961	12	4	maintenance	maintenance	NOUN
cana-4961	12	5	interventions	intervention	NOUN
cana-4961	12	6	to	to	PART
cana-4961	12	7	be	be	AUX
cana-4961	12	8	performed	perform	VERB
cana-4961	12	9	about	about	ADP
cana-4961	12	10	320	320	NUM
cana-4961	12	11	hours	hour	NOUN
cana-4961	12	12	before	before	ADP
cana-4961	12	13	critical	critical	ADJ
cana-4961	12	14	failure	failure	NOUN
cana-4961	12	15	thresholds	threshold	VERB
cana-4961	12	16	.	.	PUNCT
cana-4961	13	1	over	over	ADP
cana-4961	13	2	the	the	DET
cana-4961	13	3	course	course	NOUN
cana-4961	13	4	of	of	ADP
cana-4961	13	5	six	six	NUM
cana-4961	13	6	months	month	NOUN
cana-4961	13	7	,	,	PUNCT
cana-4961	13	8	our	our	PRON
cana-4961	13	9	predictive	predictive	ADJ
cana-4961	13	10	technology	technology	NOUN
cana-4961	13	11	reduced	reduce	VERB
cana-4961	13	12	maintenance	maintenance	NOUN
cana-4961	13	13	costs	cost	NOUN
cana-4961	13	14	by	by	ADP
cana-4961	13	15	34	34	NUM
cana-4961	13	16	%	%	NOUN
cana-4961	13	17	and	and	CCONJ
cana-4961	13	18	uncovered	uncover	VERB
cana-4961	13	19	brake	brake	NOUN
cana-4961	13	20	problems	problem	NOUN
cana-4961	13	21	by	by	ADP
cana-4961	13	22	78	78	NUM
cana-4961	13	23	%	%	NOUN
cana-4961	13	24	in	in	ADP
cana-4961	13	25	a	a	DET
cana-4961	13	26	fleet	fleet	NOUN
cana-4961	13	27	of	of	ADP
cana-4961	13	28	fifty	fifty	NUM
cana-4961	13	29	test	test	NOUN
cana-4961	13	30	vehicles	vehicle	NOUN
cana-4961	13	31	.	.	PUNCT
cana-4961	14	1	machine	machine	NOUN
cana-4961	14	2	learning	learning	NOUN
cana-4961	14	3	has	have	VERB
cana-4961	14	4	enormous	enormous	ADJ
cana-4961	14	5	promise	promise	NOUN
cana-4961	14	6	for	for	ADP
cana-4961	14	7	enhancing	enhance	VERB
cana-4961	14	8	car	car	NOUN
cana-4961	14	9	safety	safety	NOUN
cana-4961	14	10	systems	system	NOUN
cana-4961	14	11	and	and	CCONJ
cana-4961	14	12	reducing	reduce	VERB
cana-4961	14	13	operational	operational	ADJ
cana-4961	14	14	costs	cost	NOUN
cana-4961	14	15	through	through	ADP
cana-4961	14	16	proactive	proactive	ADJ
cana-4961	14	17	maintenance	maintenance	NOUN
cana-4961	14	18	scheduling	scheduling	NOUN
cana-4961	14	19	,	,	PUNCT
cana-4961	14	20	as	as	SCONJ
cana-4961	14	21	demonstrated	demonstrate	VERB
cana-4961	14	22	in	in	ADP
cana-4961	14	23	this	this	DET
cana-4961	14	24	study	study	NOUN
cana-4961	14	25	.	.	PUNCT
cana-4961	15	1	keywords	keyword	NOUN
cana-4961	15	2	:	:	PUNCT
cana-4961	15	3	machine	machine	NOUN
cana-4961	15	4	learning	learning	NOUN
cana-4961	15	5	,	,	PUNCT
cana-4961	15	6	predictive	predictive	ADJ
cana-4961	15	7	maintenance	maintenance	NOUN
cana-4961	15	8	,	,	PUNCT
cana-4961	15	9	brake	brake	NOUN
cana-4961	15	10	systems	system	NOUN
cana-4961	15	11	,	,	PUNCT
cana-4961	15	12	vehicle	vehicle	NOUN
cana-4961	15	13	safety	safety	NOUN
cana-4961	15	14	,	,	PUNCT
cana-4961	15	15	random	random	ADJ
cana-4961	15	16	forest	forest	NOUN
cana-4961	15	17	algorithm	algorithm	NOUN
cana-4961	15	18	,	,	PUNCT
cana-4961	15	19	neural	neural	ADJ
cana-4961	15	20	networks	network	NOUN
cana-4961	15	21	,	,	PUNCT
cana-4961	15	22	support	support	VERB
cana-4961	15	23	vector	vector	NOUN
cana-4961	15	24	machines	machine	NOUN
cana-4961	15	25	.	.	PUNCT
cana-4961	16	1	1	1	X
cana-4961	16	2	.	.	X
cana-4961	16	3	introduction	introduction	NOUN
cana-4961	16	4	the	the	DET
cana-4961	16	5	swift	swift	ADJ
cana-4961	16	6	progression	progression	NOUN
cana-4961	16	7	of	of	ADP
cana-4961	16	8	artificial	artificial	ADJ
cana-4961	16	9	intelligence	intelligence	NOUN
cana-4961	16	10	(	(	PUNCT
cana-4961	16	11	ai	ai	NOUN
cana-4961	16	12	)	)	PUNCT
cana-4961	16	13	and	and	CCONJ
cana-4961	16	14	machine	machine	NOUN
cana-4961	16	15	learning	learning	NOUN
cana-4961	16	16	(	(	PUNCT
cana-4961	16	17	ml	ml	NOUN
cana-4961	16	18	)	)	PUNCT
cana-4961	16	19	has	have	AUX
cana-4961	16	20	profoundly	profoundly	ADV
cana-4961	16	21	altered	alter	VERB
cana-4961	16	22	numerous	numerous	ADJ
cana-4961	16	23	sectors	sector	NOUN
cana-4961	16	24	,	,	PUNCT
cana-4961	16	25	including	include	VERB
cana-4961	16	26	car	car	NOUN
cana-4961	16	27	safety	safety	NOUN
cana-4961	16	28	.	.	PUNCT
cana-4961	17	1	the	the	DET
cana-4961	17	2	braking	brake	VERB
cana-4961	17	3	system	system	NOUN
cana-4961	17	4	is	be	AUX
cana-4961	17	5	a	a	DET
cana-4961	17	6	crucial	crucial	ADJ
cana-4961	17	7	component	component	NOUN
cana-4961	17	8	of	of	ADP
cana-4961	17	9	vehicle	vehicle	NOUN
cana-4961	17	10	safety	safety	NOUN
cana-4961	17	11	,	,	PUNCT
cana-4961	17	12	essential	essential	ADJ
cana-4961	17	13	for	for	ADP
cana-4961	17	14	accident	accident	NOUN
cana-4961	17	15	prevention	prevention	NOUN
cana-4961	17	16	and	and	CCONJ
cana-4961	17	17	driving	driving	NOUN
cana-4961	17	18	dependability	dependability	NOUN
cana-4961	17	19	.	.	PUNCT
cana-4961	18	1	braking	brake	VERB
cana-4961	18	2	efficiency	efficiency	NOUN
cana-4961	18	3	is	be	AUX
cana-4961	18	4	contingent	contingent	ADJ
cana-4961	18	5	upon	upon	SCONJ
cana-4961	18	6	various	various	ADJ
cana-4961	18	7	elements	element	NOUN
cana-4961	18	8	,	,	PUNCT
cana-4961	18	9	including	include	VERB
cana-4961	18	10	vehicle	vehicle	NOUN
cana-4961	18	11	velocity	velocity	NOUN
cana-4961	18	12	,	,	PUNCT
cana-4961	18	13	road	road	NOUN
cana-4961	18	14	conditions	condition	NOUN
cana-4961	18	15	,	,	PUNCT
cana-4961	18	16	braking	brake	VERB
cana-4961	18	17	effort	effort	NOUN
cana-4961	18	18	,	,	PUNCT
cana-4961	18	19	tire	tire	NOUN
cana-4961	18	20	degradation	degradation	NOUN
cana-4961	18	21	,	,	PUNCT
cana-4961	18	22	and	and	CCONJ
cana-4961	18	23	driver	driver	NOUN
cana-4961	18	24	conduct	conduct	NOUN
cana-4961	18	25	.	.	PUNCT
cana-4961	19	1	conventional	conventional	ADJ
cana-4961	19	2	evaluation	evaluation	NOUN
cana-4961	19	3	approaches	approach	NOUN
cana-4961	19	4	,	,	PUNCT
cana-4961	19	5	reliant	reliant	ADJ
cana-4961	19	6	on	on	ADP
cana-4961	19	7	physics	physics	NOUN
cana-4961	19	8	-	-	PUNCT
cana-4961	19	9	based	base	VERB
cana-4961	19	10	and	and	CCONJ
cana-4961	19	11	rule	rule	NOUN
cana-4961	19	12	-	-	PUNCT
cana-4961	19	13	based	base	VERB
cana-4961	19	14	models	model	NOUN
cana-4961	19	15	,	,	PUNCT
cana-4961	19	16	frequently	frequently	ADV
cana-4961	19	17	inadequately	inadequately	ADV
cana-4961	19	18	represented	represent	VERB
cana-4961	19	19	intricate	intricate	ADJ
cana-4961	19	20	,	,	PUNCT
cana-4961	19	21	nonlinear	nonlinear	ADJ
cana-4961	19	22	relationships	relationship	NOUN
cana-4961	19	23	among	among	ADP
cana-4961	19	24	these	these	DET
cana-4961	19	25	variables	variable	NOUN
cana-4961	19	26	.	.	PUNCT
cana-4961	20	1	conversely	conversely	ADV
cana-4961	20	2	,	,	PUNCT
cana-4961	20	3	machine	machine	NOUN
cana-4961	20	4	learning	learning	NOUN
cana-4961	20	5	-	-	PUNCT
cana-4961	20	6	based	base	VERB
cana-4961	20	7	prediction	prediction	NOUN
cana-4961	20	8	models	model	NOUN
cana-4961	20	9	provided	provide	VERB
cana-4961	20	10	enhanced	enhanced	ADJ
cana-4961	20	11	accuracy	accuracy	NOUN
cana-4961	20	12	by	by	ADP
cana-4961	20	13	analyzing	analyze	VERB
cana-4961	20	14	extensive	extensive	ADJ
cana-4961	20	15	datasets	dataset	NOUN
cana-4961	20	16	,	,	PUNCT
cana-4961	20	17	facilitating	facilitate	VERB
cana-4961	20	18	superior	superior	ADJ
cana-4961	20	19	performance	performance	NOUN
cana-4961	20	20	forecasting	forecasting	NOUN
cana-4961	20	21	and	and	CCONJ
cana-4961	20	22	defect	defect	VERB
cana-4961	20	23	identification	identification	NOUN
cana-4961	20	24	.	.	PUNCT
cana-4961	21	1	this	this	DET
cana-4961	21	2	study	study	NOUN
cana-4961	21	3	examined	examine	VERB
cana-4961	21	4	the	the	DET
cana-4961	21	5	utilization	utilization	NOUN
cana-4961	21	6	of	of	ADP
cana-4961	21	7	six	six	NUM
cana-4961	21	8	sophisticated	sophisticated	ADJ
cana-4961	21	9	machine	machine	NOUN
cana-4961	21	10	learning	learning	NOUN
cana-4961	21	11	algorithms	algorithm	NOUN
cana-4961	21	12	—	—	PUNCT
cana-4961	21	13	logistic	logistic	ADJ
cana-4961	21	14	regression	regression	NOUN
cana-4961	21	15	,	,	PUNCT
cana-4961	21	16	decision	decision	NOUN
cana-4961	21	17	tree	tree	NOUN
cana-4961	21	18	,	,	PUNCT
cana-4961	21	19	random	random	ADJ
cana-4961	21	20	forest	forest	NOUN
cana-4961	21	21	,	,	PUNCT
cana-4961	21	22	xgboost	xgboost	ADV
cana-4961	21	23	,	,	PUNCT
cana-4961	21	24	lightgbm	lightgbm	X
cana-4961	21	25	(	(	PUNCT
cana-4961	21	26	lgbm	lgbm	ADJ
cana-4961	21	27	)	)	PUNCT
cana-4961	21	28	,	,	PUNCT
cana-4961	21	29	and	and	CCONJ
cana-4961	21	30	support	support	VERB
cana-4961	21	31	vector	vector	NOUN
cana-4961	21	32	machine	machine	NOUN
cana-4961	21	33	(	(	PUNCT
cana-4961	21	34	svm)—to	svm)—to	NOUN
cana-4961	21	35	forecast	forecast	NOUN
cana-4961	21	36	braking	brake	VERB
cana-4961	21	37	performance	performance	NOUN
cana-4961	21	38	based	base	VERB
cana-4961	21	39	on	on	ADP
cana-4961	21	40	critical	critical	ADJ
cana-4961	21	41	vehicular	vehicular	ADJ
cana-4961	21	42	and	and	CCONJ
cana-4961	21	43	environmental	environmental	ADJ
cana-4961	21	44	factors	factor	NOUN
cana-4961	21	45	.	.	PUNCT
cana-4961	22	1	the	the	DET
cana-4961	22	2	aim	aim	NOUN
cana-4961	22	3	was	be	AUX
cana-4961	22	4	to	to	PART
cana-4961	22	5	create	create	VERB
cana-4961	22	6	a	a	DET
cana-4961	22	7	data	data	NOUN
cana-4961	22	8	-	-	PUNCT
cana-4961	22	9	driven	drive	VERB
cana-4961	22	10	system	system	NOUN
cana-4961	22	11	that	that	PRON
cana-4961	22	12	analyzes	analyze	VERB
cana-4961	22	13	braking	braking	NOUN
cana-4961	22	14	behavior	behavior	NOUN
cana-4961	22	15	,	,	PUNCT
cana-4961	22	16	detects	detect	NOUN
cana-4961	22	17	anomalies	anomaly	NOUN
cana-4961	22	18	,	,	PUNCT
cana-4961	22	19	and	and	CCONJ
cana-4961	22	20	provides	provide	VERB
cana-4961	22	21	real	real	ADJ
cana-4961	22	22	-	-	PUNCT
cana-4961	22	23	time	time	NOUN
cana-4961	22	24	alerts	alert	NOUN
cana-4961	22	25	to	to	PART
cana-4961	22	26	improve	improve	VERB
cana-4961	22	27	vehicle	vehicle	NOUN
cana-4961	22	28	safety	safety	NOUN
cana-4961	22	29	.	.	PUNCT
cana-4961	23	1	a	a	DET
cana-4961	23	2	new	new	ADJ
cana-4961	23	3	dataset	dataset	NOUN
cana-4961	23	4	was	be	AUX
cana-4961	23	5	compiled	compile	VERB
cana-4961	23	6	and	and	CCONJ
cana-4961	23	7	implemented	implement	VERB
cana-4961	23	8	,	,	PUNCT
cana-4961	23	9	mailto:a.ananthgoutham6@gmail.com	mailto:a.ananthgoutham6@gmail.com	PROPN
cana-4961	23	10	mailto:dean-fac@drmgrdu.ac.in	mailto:dean-fac@drmgrdu.ac.in	PROPN
cana-4961	23	11	communications	communication	NOUN
cana-4961	23	12	on	on	ADP
cana-4961	23	13	applied	apply	VERB
cana-4961	23	14	nonlinear	nonlinear	ADJ
cana-4961	23	15	analysis	analysis	NOUN
cana-4961	23	16	issn	issn	NOUN
cana-4961	23	17	:	:	PUNCT
cana-4961	23	18	1074	1074	NUM
cana-4961	23	19	-	-	PUNCT
cana-4961	23	20	133x	133x	NUM
cana-4961	23	21	vol	vol	VERB
cana-4961	23	22	32	32	NUM
cana-4961	23	23	no	no	NOUN
cana-4961	23	24	.	.	PUNCT
cana-4961	24	1	10s	10	NOUN
cana-4961	24	2	(	(	PUNCT
cana-4961	24	3	2025	2025	NUM
cana-4961	24	4	)	)	PUNCT
cana-4961	24	5	1084	1084	NUM
cana-4961	25	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	25	2	integrating	integrate	VERB
cana-4961	25	3	a	a	DET
cana-4961	25	4	variety	variety	NOUN
cana-4961	25	5	of	of	ADP
cana-4961	25	6	sensor	sensor	NOUN
cana-4961	25	7	-	-	PUNCT
cana-4961	25	8	based	base	VERB
cana-4961	25	9	metrics	metric	NOUN
cana-4961	25	10	across	across	ADP
cana-4961	25	11	different	different	ADJ
cana-4961	25	12	driving	driving	NOUN
cana-4961	25	13	and	and	CCONJ
cana-4961	25	14	road	road	NOUN
cana-4961	25	15	conditions	condition	NOUN
cana-4961	25	16	to	to	PART
cana-4961	25	17	ensure	ensure	VERB
cana-4961	25	18	comprehensive	comprehensive	ADJ
cana-4961	25	19	model	model	NOUN
cana-4961	25	20	training	training	NOUN
cana-4961	25	21	and	and	CCONJ
cana-4961	25	22	assessment	assessment	NOUN
cana-4961	25	23	.	.	PUNCT
cana-4961	26	1	need	need	VERB
cana-4961	26	2	for	for	ADP
cana-4961	26	3	machine	machine	NOUN
cana-4961	26	4	learning	learning	NOUN
cana-4961	26	5	in	in	ADP
cana-4961	26	6	braking	brake	VERB
cana-4961	26	7	system	system	NOUN
cana-4961	26	8	prediction	prediction	NOUN
cana-4961	26	9	traditional	traditional	ADJ
cana-4961	26	10	braking	braking	NOUN
cana-4961	26	11	assessments	assessment	NOUN
cana-4961	26	12	,	,	PUNCT
cana-4961	26	13	grounded	ground	VERB
cana-4961	26	14	in	in	ADP
cana-4961	26	15	newtonian	newtonian	ADJ
cana-4961	26	16	physics	physic	NOUN
cana-4961	26	17	and	and	CCONJ
cana-4961	26	18	static	static	ADJ
cana-4961	26	19	thresholds	threshold	NOUN
cana-4961	26	20	,	,	PUNCT
cana-4961	26	21	often	often	ADV
cana-4961	26	22	struggled	struggle	VERB
cana-4961	26	23	with	with	ADP
cana-4961	26	24	dynamic	dynamic	ADJ
cana-4961	26	25	scenarios	scenario	NOUN
cana-4961	26	26	involving	involve	VERB
cana-4961	26	27	unpredictable	unpredictable	ADJ
cana-4961	26	28	environmental	environmental	ADJ
cana-4961	26	29	and	and	CCONJ
cana-4961	26	30	behavioral	behavioral	ADJ
cana-4961	26	31	factors	factor	NOUN
cana-4961	26	32	.	.	PUNCT
cana-4961	27	1	ml	ml	NOUN
cana-4961	27	2	techniques	technique	NOUN
cana-4961	27	3	addressed	address	VERB
cana-4961	27	4	these	these	DET
cana-4961	27	5	limitations	limitation	NOUN
cana-4961	27	6	by	by	ADP
cana-4961	27	7	uncovering	uncover	VERB
cana-4961	27	8	hidden	hide	VERB
cana-4961	27	9	patterns	pattern	NOUN
cana-4961	27	10	in	in	ADP
cana-4961	27	11	the	the	DET
cana-4961	27	12	data	datum	NOUN
cana-4961	27	13	,	,	PUNCT
cana-4961	27	14	enabling	enable	VERB
cana-4961	27	15	adaptive	adaptive	ADJ
cana-4961	27	16	,	,	PUNCT
cana-4961	27	17	real	real	ADJ
cana-4961	27	18	-	-	PUNCT
cana-4961	27	19	time	time	NOUN
cana-4961	27	20	braking	braking	NOUN
cana-4961	27	21	performance	performance	NOUN
cana-4961	27	22	prediction	prediction	NOUN
cana-4961	27	23	.	.	PUNCT
cana-4961	28	1	these	these	DET
cana-4961	28	2	models	model	NOUN
cana-4961	28	3	learned	learn	VERB
cana-4961	28	4	continuously	continuously	ADV
cana-4961	28	5	from	from	ADP
cana-4961	28	6	historical	historical	ADJ
cana-4961	28	7	and	and	CCONJ
cana-4961	28	8	real	real	ADJ
cana-4961	28	9	-	-	PUNCT
cana-4961	28	10	time	time	NOUN
cana-4961	28	11	sensor	sensor	NOUN
cana-4961	28	12	data	datum	NOUN
cana-4961	28	13	,	,	PUNCT
cana-4961	28	14	offering	offer	VERB
cana-4961	28	15	improved	improved	ADJ
cana-4961	28	16	reliability	reliability	NOUN
cana-4961	28	17	,	,	PUNCT
cana-4961	28	18	reduced	reduce	VERB
cana-4961	28	19	maintenance	maintenance	NOUN
cana-4961	28	20	costs	cost	NOUN
cana-4961	28	21	,	,	PUNCT
cana-4961	28	22	and	and	CCONJ
cana-4961	28	23	enhanced	enhance	VERB
cana-4961	28	24	driver	driver	NOUN
cana-4961	28	25	confidence	confidence	NOUN
cana-4961	28	26	.	.	PUNCT
cana-4961	29	1	challenges	challenge	NOUN
cana-4961	29	2	in	in	ADP
cana-4961	29	3	braking	brake	VERB
cana-4961	29	4	system	system	NOUN
cana-4961	29	5	prediction	prediction	NOUN
cana-4961	29	6	despite	despite	SCONJ
cana-4961	29	7	the	the	DET
cana-4961	29	8	advantages	advantage	NOUN
cana-4961	29	9	of	of	ADP
cana-4961	29	10	ml	ml	NOUN
cana-4961	29	11	-	-	PUNCT
cana-4961	29	12	based	base	VERB
cana-4961	29	13	braking	braking	NOUN
cana-4961	29	14	system	system	NOUN
cana-4961	29	15	predictions	prediction	NOUN
cana-4961	29	16	,	,	PUNCT
cana-4961	29	17	several	several	ADJ
cana-4961	29	18	challenges	challenge	NOUN
cana-4961	29	19	need	need	VERB
cana-4961	29	20	to	to	PART
cana-4961	29	21	be	be	AUX
cana-4961	29	22	addressed	address	VERB
cana-4961	29	23	:	:	PUNCT
cana-4961	29	24	1	1	X
cana-4961	29	25	.	.	PUNCT
cana-4961	29	26	data	datum	NOUN
cana-4961	29	27	quality	quality	NOUN
cana-4961	29	28	and	and	CCONJ
cana-4961	29	29	availability	availability	NOUN
cana-4961	29	30	:	:	PUNCT
cana-4961	29	31	reliable	reliable	ADJ
cana-4961	29	32	predictions	prediction	NOUN
cana-4961	29	33	required	require	VERB
cana-4961	29	34	rich	rich	ADJ
cana-4961	29	35	,	,	PUNCT
cana-4961	29	36	high	high	ADJ
cana-4961	29	37	-	-	PUNCT
cana-4961	29	38	quality	quality	NOUN
cana-4961	29	39	datasets	dataset	NOUN
cana-4961	29	40	encompassing	encompass	VERB
cana-4961	29	41	varied	varied	ADJ
cana-4961	29	42	conditions	condition	NOUN
cana-4961	29	43	such	such	ADJ
cana-4961	29	44	as	as	ADP
cana-4961	29	45	wet	wet	ADJ
cana-4961	29	46	roads	road	NOUN
cana-4961	29	47	,	,	PUNCT
cana-4961	29	48	abrupt	abrupt	ADJ
cana-4961	29	49	stops	stop	NOUN
cana-4961	29	50	,	,	PUNCT
cana-4961	29	51	and	and	CCONJ
cana-4961	29	52	rapid	rapid	ADJ
cana-4961	29	53	deceleration	deceleration	NOUN
cana-4961	29	54	.	.	PUNCT
cana-4961	30	1	2	2	X
cana-4961	30	2	.	.	NOUN
cana-4961	30	3	model	model	NOUN
cana-4961	30	4	selection	selection	NOUN
cana-4961	30	5	and	and	CCONJ
cana-4961	30	6	optimization	optimization	NOUN
cana-4961	30	7	:	:	PUNCT
cana-4961	30	8	selecting	select	VERB
cana-4961	30	9	optimal	optimal	ADJ
cana-4961	30	10	models	model	NOUN
cana-4961	30	11	involved	involve	VERB
cana-4961	30	12	balancing	balance	VERB
cana-4961	30	13	accuracy	accuracy	NOUN
cana-4961	30	14	,	,	PUNCT
cana-4961	30	15	interpretability	interpretability	NOUN
cana-4961	30	16	,	,	PUNCT
cana-4961	30	17	and	and	CCONJ
cana-4961	30	18	computational	computational	ADJ
cana-4961	30	19	cost	cost	NOUN
cana-4961	30	20	.	.	PUNCT
cana-4961	31	1	3	3	X
cana-4961	31	2	.	.	X
cana-4961	31	3	real	real	ADJ
cana-4961	31	4	-	-	PUNCT
cana-4961	31	5	time	time	NOUN
cana-4961	31	6	processing	processing	NOUN
cana-4961	31	7	:	:	PUNCT
cana-4961	31	8	predicting	predict	VERB
cana-4961	31	9	braking	brake	VERB
cana-4961	31	10	performance	performance	NOUN
cana-4961	31	11	in	in	ADP
cana-4961	31	12	real	real	ADJ
cana-4961	31	13	time	time	NOUN
cana-4961	31	14	required	require	VERB
cana-4961	31	15	efficient	efficient	ADJ
cana-4961	31	16	algorithms	algorithm	NOUN
cana-4961	31	17	capable	capable	ADJ
cana-4961	31	18	of	of	ADP
cana-4961	31	19	operating	operate	VERB
cana-4961	31	20	within	within	ADP
cana-4961	31	21	milliseconds	millisecond	NOUN
cana-4961	31	22	.	.	PUNCT
cana-4961	32	1	4	4	X
cana-4961	32	2	.	.	NOUN
cana-4961	32	3	false	false	ADJ
cana-4961	32	4	positives	positive	NOUN
cana-4961	32	5	and	and	CCONJ
cana-4961	32	6	generalization	generalization	NOUN
cana-4961	32	7	:	:	PUNCT
cana-4961	32	8	reducing	reduce	VERB
cana-4961	32	9	false	false	ADJ
cana-4961	32	10	alarms	alarm	NOUN
cana-4961	32	11	and	and	CCONJ
cana-4961	32	12	ensuring	ensure	VERB
cana-4961	32	13	consistent	consistent	ADJ
cana-4961	32	14	performance	performance	NOUN
cana-4961	32	15	across	across	ADP
cana-4961	32	16	different	different	ADJ
cana-4961	32	17	vehicles	vehicle	NOUN
cana-4961	32	18	and	and	CCONJ
cana-4961	32	19	environments	environment	NOUN
cana-4961	32	20	remained	remain	VERB
cana-4961	32	21	critical	critical	ADJ
cana-4961	32	22	.	.	PUNCT
cana-4961	33	1	this	this	DET
cana-4961	33	2	research	research	NOUN
cana-4961	33	3	aims	aim	VERB
cana-4961	33	4	to	to	PART
cana-4961	33	5	address	address	VERB
cana-4961	33	6	several	several	ADJ
cana-4961	33	7	critical	critical	ADJ
cana-4961	33	8	questions	question	NOUN
cana-4961	33	9	:	:	PUNCT
cana-4961	33	10	1	1	X
cana-4961	33	11	.	.	NOUN
cana-4961	33	12	which	which	DET
cana-4961	33	13	machine	machine	NOUN
cana-4961	33	14	learning	learning	NOUN
cana-4961	33	15	model	model	NOUN
cana-4961	33	16	provides	provide	VERB
cana-4961	33	17	the	the	DET
cana-4961	33	18	highest	high	ADJ
cana-4961	33	19	accuracy	accuracy	NOUN
cana-4961	33	20	for	for	ADP
cana-4961	33	21	braking	brake	VERB
cana-4961	33	22	performance	performance	NOUN
cana-4961	33	23	prediction	prediction	NOUN
cana-4961	33	24	?	?	PUNCT
cana-4961	34	1	2	2	X
cana-4961	34	2	.	.	X
cana-4961	34	3	what	what	PRON
cana-4961	34	4	are	be	AUX
cana-4961	34	5	the	the	DET
cana-4961	34	6	key	key	ADJ
cana-4961	34	7	factors	factor	NOUN
cana-4961	34	8	influencing	influence	VERB
cana-4961	34	9	braking	brake	VERB
cana-4961	34	10	system	system	NOUN
cana-4961	34	11	performance	performance	NOUN
cana-4961	34	12	,	,	PUNCT
cana-4961	34	13	and	and	CCONJ
cana-4961	34	14	how	how	SCONJ
cana-4961	34	15	do	do	AUX
cana-4961	34	16	they	they	PRON
cana-4961	34	17	impact	impact	VERB
cana-4961	34	18	model	model	NOUN
cana-4961	34	19	predictions	prediction	NOUN
cana-4961	34	20	?	?	PUNCT
cana-4961	35	1	3	3	X
cana-4961	35	2	.	.	X
cana-4961	35	3	how	how	SCONJ
cana-4961	35	4	can	can	AUX
cana-4961	35	5	real	real	ADJ
cana-4961	35	6	-	-	PUNCT
cana-4961	35	7	time	time	NOUN
cana-4961	35	8	prediction	prediction	NOUN
cana-4961	35	9	capabilities	capability	NOUN
cana-4961	35	10	be	be	AUX
cana-4961	35	11	integrated	integrate	VERB
cana-4961	35	12	into	into	ADP
cana-4961	35	13	an	an	DET
cana-4961	35	14	intelligent	intelligent	ADJ
cana-4961	35	15	braking	braking	NOUN
cana-4961	35	16	system	system	NOUN
cana-4961	35	17	for	for	ADP
cana-4961	35	18	enhanced	enhanced	ADJ
cana-4961	35	19	safety	safety	NOUN
cana-4961	35	20	?	?	PUNCT
cana-4961	36	1	4	4	X
cana-4961	36	2	.	.	X
cana-4961	36	3	what	what	PRON
cana-4961	36	4	are	be	AUX
cana-4961	36	5	the	the	DET
cana-4961	36	6	trade	trade	NOUN
cana-4961	36	7	-	-	PUNCT
cana-4961	36	8	offs	off	NOUN
cana-4961	36	9	between	between	ADP
cana-4961	36	10	model	model	NOUN
cana-4961	36	11	complexity	complexity	NOUN
cana-4961	36	12	,	,	PUNCT
cana-4961	36	13	computational	computational	ADJ
cana-4961	36	14	efficiency	efficiency	NOUN
cana-4961	36	15	,	,	PUNCT
cana-4961	36	16	and	and	CCONJ
cana-4961	36	17	real	real	ADJ
cana-4961	36	18	-	-	PUNCT
cana-4961	36	19	world	world	NOUN
cana-4961	36	20	applicability	applicability	NOUN
cana-4961	36	21	in	in	ADP
cana-4961	36	22	braking	brake	VERB
cana-4961	36	23	system	system	NOUN
cana-4961	36	24	predictions	prediction	NOUN
cana-4961	36	25	?	?	PUNCT
cana-4961	37	1	by	by	ADP
cana-4961	37	2	addressing	address	VERB
cana-4961	37	3	these	these	DET
cana-4961	37	4	challenges	challenge	NOUN
cana-4961	37	5	,	,	PUNCT
cana-4961	37	6	this	this	DET
cana-4961	37	7	research	research	NOUN
cana-4961	37	8	aims	aim	VERB
cana-4961	37	9	to	to	PART
cana-4961	37	10	advance	advance	VERB
cana-4961	37	11	the	the	DET
cana-4961	37	12	application	application	NOUN
cana-4961	37	13	of	of	ADP
cana-4961	37	14	machine	machine	NOUN
cana-4961	37	15	learning	learn	VERB
cana-4961	37	16	in	in	ADP
cana-4961	37	17	automotive	automotive	ADJ
cana-4961	37	18	safety	safety	NOUN
cana-4961	37	19	,	,	PUNCT
cana-4961	37	20	enabling	enable	VERB
cana-4961	37	21	intelligent	intelligent	ADJ
cana-4961	37	22	,	,	PUNCT
cana-4961	37	23	data	data	NOUN
cana-4961	37	24	-	-	PUNCT
cana-4961	37	25	driven	drive	VERB
cana-4961	37	26	braking	braking	NOUN
cana-4961	37	27	systems	system	NOUN
cana-4961	37	28	that	that	PRON
cana-4961	37	29	enhance	enhance	VERB
cana-4961	37	30	road	road	NOUN
cana-4961	37	31	safety	safety	NOUN
cana-4961	37	32	and	and	CCONJ
cana-4961	37	33	driving	driving	NOUN
cana-4961	37	34	experience	experience	NOUN
cana-4961	37	35	.	.	PUNCT
cana-4961	38	1	hence	hence	ADV
cana-4961	38	2	,	,	PUNCT
cana-4961	38	3	the	the	DET
cana-4961	38	4	above	above	ADJ
cana-4961	38	5	challenges	challenge	NOUN
cana-4961	38	6	were	be	AUX
cana-4961	38	7	studied	study	VERB
cana-4961	38	8	in	in	ADP
cana-4961	38	9	this	this	DET
cana-4961	38	10	research	research	NOUN
cana-4961	38	11	to	to	PART
cana-4961	38	12	explore	explore	VERB
cana-4961	38	13	the	the	DET
cana-4961	38	14	effectiveness	effectiveness	NOUN
cana-4961	38	15	of	of	ADP
cana-4961	38	16	machine	machine	NOUN
cana-4961	38	17	learning	learning	NOUN
cana-4961	38	18	models	model	NOUN
cana-4961	38	19	in	in	ADP
cana-4961	38	20	predictive	predictive	ADJ
cana-4961	38	21	maintenance	maintenance	NOUN
cana-4961	38	22	,	,	PUNCT
cana-4961	38	23	specifically	specifically	ADV
cana-4961	38	24	for	for	ADP
cana-4961	38	25	automotive	automotive	ADJ
cana-4961	38	26	braking	braking	NOUN
cana-4961	38	27	systems	system	NOUN
cana-4961	38	28	,	,	PUNCT
cana-4961	38	29	and	and	CCONJ
cana-4961	38	30	to	to	PART
cana-4961	38	31	assess	assess	VERB
cana-4961	38	32	their	their	PRON
cana-4961	38	33	potential	potential	ADJ
cana-4961	38	34	impact	impact	NOUN
cana-4961	38	35	on	on	ADP
cana-4961	38	36	vehicle	vehicle	NOUN
cana-4961	38	37	safety	safety	NOUN
cana-4961	38	38	,	,	PUNCT
cana-4961	38	39	operational	operational	ADJ
cana-4961	38	40	costs	cost	NOUN
cana-4961	38	41	,	,	PUNCT
cana-4961	38	42	and	and	CCONJ
cana-4961	38	43	supply	supply	VERB
cana-4961	38	44	chain	chain	NOUN
cana-4961	38	45	sustainability	sustainability	NOUN
cana-4961	38	46	.	.	PUNCT
cana-4961	39	1	by	by	ADP
cana-4961	39	2	analyzing	analyze	VERB
cana-4961	39	3	real	real	ADJ
cana-4961	39	4	-	-	PUNCT
cana-4961	39	5	time	time	NOUN
cana-4961	39	6	sensor	sensor	NOUN
cana-4961	39	7	data	datum	NOUN
cana-4961	39	8	,	,	PUNCT
cana-4961	39	9	this	this	DET
cana-4961	39	10	research	research	NOUN
cana-4961	39	11	aimed	aim	VERB
cana-4961	39	12	to	to	PART
cana-4961	39	13	develop	develop	VERB
cana-4961	39	14	an	an	DET
cana-4961	39	15	ai	ai	NOUN
cana-4961	39	16	-	-	PUNCT
cana-4961	39	17	driven	drive	VERB
cana-4961	39	18	framework	framework	NOUN
cana-4961	39	19	capable	capable	ADJ
cana-4961	39	20	of	of	ADP
cana-4961	39	21	identifying	identify	VERB
cana-4961	39	22	early	early	ADJ
cana-4961	39	23	failure	failure	NOUN
cana-4961	39	24	patterns	pattern	NOUN
cana-4961	39	25	,	,	PUNCT
cana-4961	39	26	enabling	enable	VERB
cana-4961	39	27	proactive	proactive	ADJ
cana-4961	39	28	interventions	intervention	NOUN
cana-4961	39	29	,	,	PUNCT
cana-4961	39	30	and	and	CCONJ
cana-4961	39	31	reducing	reduce	VERB
cana-4961	39	32	the	the	DET
cana-4961	39	33	frequency	frequency	NOUN
cana-4961	39	34	of	of	ADP
cana-4961	39	35	unexpected	unexpected	ADJ
cana-4961	39	36	breakdowns	breakdown	NOUN
cana-4961	39	37	.	.	PUNCT
cana-4961	40	1	additionally	additionally	ADV
cana-4961	40	2	,	,	PUNCT
cana-4961	40	3	the	the	DET
cana-4961	40	4	findings	finding	NOUN
cana-4961	40	5	are	be	AUX
cana-4961	40	6	expected	expect	VERB
cana-4961	40	7	to	to	PART
cana-4961	40	8	contribute	contribute	VERB
cana-4961	40	9	to	to	ADP
cana-4961	40	10	a	a	DET
cana-4961	40	11	broader	broad	ADJ
cana-4961	40	12	communications	communication	NOUN
cana-4961	40	13	on	on	ADP
cana-4961	40	14	applied	apply	VERB
cana-4961	40	15	nonlinear	nonlinear	ADJ
cana-4961	40	16	analysis	analysis	NOUN
cana-4961	40	17	issn	issn	NOUN
cana-4961	40	18	:	:	PUNCT
cana-4961	40	19	1074	1074	NUM
cana-4961	40	20	-	-	PUNCT
cana-4961	40	21	133x	133x	NUM
cana-4961	40	22	vol	vol	VERB
cana-4961	40	23	32	32	NUM
cana-4961	40	24	no	no	NOUN
cana-4961	40	25	.	.	PUNCT
cana-4961	41	1	10s	10	NOUN
cana-4961	41	2	(	(	PUNCT
cana-4961	41	3	2025	2025	NUM
cana-4961	41	4	)	)	PUNCT
cana-4961	41	5	1085	1085	NUM
cana-4961	41	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	41	7	understanding	understanding	NOUN
cana-4961	41	8	of	of	ADP
cana-4961	41	9	how	how	SCONJ
cana-4961	41	10	ai	ai	AUX
cana-4961	41	11	-	-	PUNCT
cana-4961	41	12	powered	power	VERB
cana-4961	41	13	predictive	predictive	ADJ
cana-4961	41	14	analytics	analytic	NOUN
cana-4961	41	15	can	can	AUX
cana-4961	41	16	optimize	optimize	VERB
cana-4961	41	17	maintenance	maintenance	NOUN
cana-4961	41	18	strategies	strategy	NOUN
cana-4961	41	19	,	,	PUNCT
cana-4961	41	20	streamline	streamline	VERB
cana-4961	41	21	spare	spare	ADJ
cana-4961	41	22	parts	part	NOUN
cana-4961	41	23	management	management	NOUN
cana-4961	41	24	,	,	PUNCT
cana-4961	41	25	and	and	CCONJ
cana-4961	41	26	enhance	enhance	VERB
cana-4961	41	27	supply	supply	NOUN
cana-4961	41	28	chain	chain	NOUN
cana-4961	41	29	resilience	resilience	NOUN
cana-4961	41	30	.	.	PUNCT
cana-4961	42	1	2	2	X
cana-4961	42	2	.	.	X
cana-4961	42	3	literature	literature	NOUN
cana-4961	42	4	review	review	VERB
cana-4961	42	5	the	the	DET
cana-4961	42	6	integration	integration	NOUN
cana-4961	42	7	of	of	ADP
cana-4961	42	8	computer	computer	NOUN
cana-4961	42	9	vision	vision	NOUN
cana-4961	42	10	in	in	ADP
cana-4961	42	11	automobile	automobile	NOUN
cana-4961	42	12	braking	brake	VERB
cana-4961	42	13	systems	system	NOUN
cana-4961	42	14	had	have	AUX
cana-4961	42	15	significantly	significantly	ADV
cana-4961	42	16	enhanced	enhance	VERB
cana-4961	42	17	vehicle	vehicle	NOUN
cana-4961	42	18	safety	safety	NOUN
cana-4961	42	19	and	and	CCONJ
cana-4961	42	20	performance	performance	NOUN
cana-4961	42	21	.	.	PUNCT
cana-4961	43	1	traditional	traditional	ADJ
cana-4961	43	2	braking	brake	VERB
cana-4961	43	3	mechanisms	mechanism	NOUN
cana-4961	43	4	,	,	PUNCT
cana-4961	43	5	based	base	VERB
cana-4961	43	6	on	on	ADP
cana-4961	43	7	rule	rule	NOUN
cana-4961	43	8	-	-	PUNCT
cana-4961	43	9	based	base	VERB
cana-4961	43	10	decision	decision	NOUN
cana-4961	43	11	-	-	PUNCT
cana-4961	43	12	making	making	NOUN
cana-4961	43	13	,	,	PUNCT
cana-4961	43	14	often	often	ADV
cana-4961	43	15	lacked	lack	VERB
cana-4961	43	16	adaptability	adaptability	NOUN
cana-4961	43	17	to	to	ADP
cana-4961	43	18	real	real	ADJ
cana-4961	43	19	-	-	PUNCT
cana-4961	43	20	time	time	NOUN
cana-4961	43	21	driving	driving	NOUN
cana-4961	43	22	conditions	condition	NOUN
cana-4961	43	23	,	,	PUNCT
cana-4961	43	24	road	road	NOUN
cana-4961	43	25	surfaces	surface	NOUN
cana-4961	43	26	,	,	PUNCT
cana-4961	43	27	and	and	CCONJ
cana-4961	43	28	driver	driver	NOUN
cana-4961	43	29	behavior	behavior	NOUN
cana-4961	43	30	.	.	PUNCT
cana-4961	44	1	ml	ml	AUX
cana-4961	44	2	introduced	introduce	VERB
cana-4961	44	3	data	data	NOUN
cana-4961	44	4	-	-	PUNCT
cana-4961	44	5	driven	drive	VERB
cana-4961	44	6	intelligence	intelligence	NOUN
cana-4961	44	7	,	,	PUNCT
cana-4961	44	8	enabling	enable	VERB
cana-4961	44	9	improved	improve	VERB
cana-4961	44	10	braking	braking	NOUN
cana-4961	44	11	efficiency	efficiency	NOUN
cana-4961	44	12	through	through	ADP
cana-4961	44	13	historical	historical	ADJ
cana-4961	44	14	data	datum	NOUN
cana-4961	44	15	analysis	analysis	NOUN
cana-4961	44	16	,	,	PUNCT
cana-4961	44	17	sensor	sensor	NOUN
cana-4961	44	18	fusion	fusion	NOUN
cana-4961	44	19	,	,	PUNCT
cana-4961	44	20	and	and	CCONJ
cana-4961	44	21	predictive	predictive	ADJ
cana-4961	44	22	analytics	analytic	NOUN
cana-4961	44	23	.	.	PUNCT
cana-4961	45	1	the	the	DET
cana-4961	45	2	combination	combination	NOUN
cana-4961	45	3	of	of	ADP
cana-4961	45	4	supervised	supervised	ADJ
cana-4961	45	5	learning	learning	NOUN
cana-4961	45	6	algorithms	algorithm	NOUN
cana-4961	45	7	,	,	PUNCT
cana-4961	45	8	deep	deep	ADJ
cana-4961	45	9	learning	learning	NOUN
cana-4961	45	10	techniques	technique	NOUN
cana-4961	45	11	,	,	PUNCT
cana-4961	45	12	and	and	CCONJ
cana-4961	45	13	predictive	predictive	ADJ
cana-4961	45	14	maintenance	maintenance	NOUN
cana-4961	45	15	approaches	approach	NOUN
cana-4961	45	16	led	lead	VERB
cana-4961	45	17	to	to	ADP
cana-4961	45	18	substantial	substantial	ADJ
cana-4961	45	19	advancements	advancement	NOUN
cana-4961	45	20	in	in	ADP
cana-4961	45	21	adaptive	adaptive	ADJ
cana-4961	45	22	braking	braking	NOUN
cana-4961	45	23	control	control	NOUN
cana-4961	45	24	and	and	CCONJ
cana-4961	45	25	fault	fault	VERB
cana-4961	45	26	detection	detection	NOUN
cana-4961	45	27	,	,	PUNCT
cana-4961	45	28	as	as	SCONJ
cana-4961	45	29	explored	explore	VERB
cana-4961	45	30	in	in	ADP
cana-4961	45	31	various	various	ADJ
cana-4961	45	32	studies	study	NOUN
cana-4961	45	33	(	(	PUNCT
cana-4961	45	34	[	[	X
cana-4961	45	35	1]–[10	1]–[10	NUM
cana-4961	45	36	]	]	PUNCT
cana-4961	45	37	)	)	PUNCT
cana-4961	45	38	.	.	PUNCT
cana-4961	46	1	2.1	2.1	NUM
cana-4961	46	2	.	.	PUNCT
cana-4961	46	3	machine	machine	NOUN
cana-4961	46	4	learning	learning	NOUN
cana-4961	46	5	in	in	ADP
cana-4961	46	6	predictive	predictive	ADJ
cana-4961	46	7	braking	braking	NOUN
cana-4961	46	8	systems	system	NOUN
cana-4961	46	9	ml	ml	VERB
cana-4961	46	10	-	-	PUNCT
cana-4961	46	11	based	base	VERB
cana-4961	46	12	braking	braking	NOUN
cana-4961	46	13	systems	system	NOUN
cana-4961	46	14	utilized	utilize	VERB
cana-4961	46	15	real	real	ADJ
cana-4961	46	16	-	-	PUNCT
cana-4961	46	17	time	time	NOUN
cana-4961	46	18	sensor	sensor	NOUN
cana-4961	46	19	data	datum	NOUN
cana-4961	46	20	to	to	PART
cana-4961	46	21	optimize	optimize	VERB
cana-4961	46	22	stopping	stopping	NOUN
cana-4961	46	23	distance	distance	NOUN
cana-4961	46	24	,	,	PUNCT
cana-4961	46	25	minimize	minimize	VERB
cana-4961	46	26	brake	brake	NOUN
cana-4961	46	27	lag	lag	NOUN
cana-4961	46	28	,	,	PUNCT
cana-4961	46	29	and	and	CCONJ
cana-4961	46	30	enhance	enhance	VERB
cana-4961	46	31	vehicle	vehicle	NOUN
cana-4961	46	32	stability	stability	NOUN
cana-4961	46	33	.	.	PUNCT
cana-4961	47	1	by	by	ADP
cana-4961	47	2	analyzing	analyze	VERB
cana-4961	47	3	historical	historical	ADJ
cana-4961	47	4	braking	braking	NOUN
cana-4961	47	5	patterns	pattern	NOUN
cana-4961	47	6	,	,	PUNCT
cana-4961	47	7	these	these	DET
cana-4961	47	8	systems	system	NOUN
cana-4961	47	9	predicted	predict	VERB
cana-4961	47	10	optimal	optimal	ADJ
cana-4961	47	11	braking	braking	NOUN
cana-4961	47	12	force	force	NOUN
cana-4961	47	13	and	and	CCONJ
cana-4961	47	14	response	response	NOUN
cana-4961	47	15	time	time	NOUN
cana-4961	47	16	based	base	VERB
cana-4961	47	17	on	on	ADP
cana-4961	47	18	parameters	parameter	NOUN
cana-4961	47	19	such	such	ADJ
cana-4961	47	20	as	as	ADP
cana-4961	47	21	vehicle	vehicle	NOUN
cana-4961	47	22	speed	speed	NOUN
cana-4961	47	23	,	,	PUNCT
cana-4961	47	24	road	road	NOUN
cana-4961	47	25	surface	surface	NOUN
cana-4961	47	26	,	,	PUNCT
cana-4961	47	27	driver	driver	NOUN
cana-4961	47	28	input	input	NOUN
cana-4961	47	29	,	,	PUNCT
cana-4961	47	30	and	and	CCONJ
cana-4961	47	31	environmental	environmental	ADJ
cana-4961	47	32	conditions	condition	NOUN
cana-4961	47	33	(	(	PUNCT
cana-4961	47	34	[	[	X
cana-4961	47	35	4	4	NUM
cana-4961	47	36	]	]	PUNCT
cana-4961	47	37	,	,	PUNCT
cana-4961	47	38	[	[	X
cana-4961	47	39	10	10	NUM
cana-4961	47	40	]	]	NUM
cana-4961	47	41	)	)	PUNCT
cana-4961	47	42	.	.	PUNCT
cana-4961	48	1	●	●	PUNCT
cana-4961	48	2	supervised	supervised	ADJ
cana-4961	48	3	learning	learning	NOUN
cana-4961	48	4	algorithms	algorithm	NOUN
cana-4961	48	5	:	:	PUNCT
cana-4961	48	6	xgboost	xgboost	ADV
cana-4961	48	7	,	,	PUNCT
cana-4961	48	8	decision	decision	NOUN
cana-4961	48	9	trees	tree	NOUN
cana-4961	48	10	,	,	PUNCT
cana-4961	48	11	random	random	ADJ
cana-4961	48	12	forest	forest	NOUN
cana-4961	48	13	,	,	PUNCT
cana-4961	48	14	support	support	VERB
cana-4961	48	15	vector	vector	NOUN
cana-4961	48	16	machines	machine	NOUN
cana-4961	48	17	(	(	PUNCT
cana-4961	48	18	svm	svm	PROPN
cana-4961	48	19	)	)	PUNCT
cana-4961	48	20	,	,	PUNCT
cana-4961	48	21	and	and	CCONJ
cana-4961	48	22	logistic	logistic	ADJ
cana-4961	48	23	regression	regression	NOUN
cana-4961	48	24	were	be	AUX
cana-4961	48	25	among	among	ADP
cana-4961	48	26	the	the	DET
cana-4961	48	27	supervised	supervised	ADJ
cana-4961	48	28	learning	learning	NOUN
cana-4961	48	29	algorithms	algorithm	NOUN
cana-4961	48	30	heavily	heavily	ADV
cana-4961	48	31	used	use	VERB
cana-4961	48	32	to	to	PART
cana-4961	48	33	categorize	categorize	VERB
cana-4961	48	34	braking	brake	VERB
cana-4961	48	35	occurrences	occurrence	NOUN
cana-4961	48	36	and	and	CCONJ
cana-4961	48	37	detect	detect	VERB
cana-4961	48	38	emergency	emergency	NOUN
cana-4961	48	39	braking	brake	VERB
cana-4961	48	40	scenarios	scenario	NOUN
cana-4961	48	41	[	[	X
cana-4961	48	42	4	4	NUM
cana-4961	48	43	]	]	PUNCT
cana-4961	48	44	,	,	PUNCT
cana-4961	48	45	[	[	X
cana-4961	48	46	5	5	NUM
cana-4961	48	47	]	]	PUNCT
cana-4961	48	48	.	.	PUNCT
cana-4961	49	1	in	in	SCONJ
cana-4961	49	2	order	order	NOUN
cana-4961	49	3	to	to	PART
cana-4961	49	4	examine	examine	VERB
cana-4961	49	5	braking	brake	VERB
cana-4961	49	6	decisions	decision	NOUN
cana-4961	49	7	across	across	ADP
cana-4961	49	8	various	various	ADJ
cana-4961	49	9	road	road	NOUN
cana-4961	49	10	textures	texture	NOUN
cana-4961	49	11	and	and	CCONJ
cana-4961	49	12	slopes	slope	NOUN
cana-4961	49	13	,	,	PUNCT
cana-4961	49	14	decision	decision	NOUN
cana-4961	49	15	trees	tree	NOUN
cana-4961	49	16	and	and	CCONJ
cana-4961	49	17	random	random	ADJ
cana-4961	49	18	forests	forest	NOUN
cana-4961	49	19	were	be	AUX
cana-4961	49	20	employed	employ	VERB
cana-4961	49	21	(	(	PUNCT
cana-4961	49	22	[	[	X
cana-4961	49	23	6	6	NUM
cana-4961	49	24	]	]	PUNCT
cana-4961	49	25	)	)	PUNCT
cana-4961	49	26	.	.	PUNCT
cana-4961	50	1	xgboost	xgboost	PROPN
cana-4961	50	2	and	and	CCONJ
cana-4961	50	3	lgbm	lgbm	PROPN
cana-4961	50	4	,	,	PUNCT
cana-4961	50	5	which	which	PRON
cana-4961	50	6	are	be	AUX
cana-4961	50	7	known	know	VERB
cana-4961	50	8	to	to	PART
cana-4961	50	9	be	be	AUX
cana-4961	50	10	efficient	efficient	ADJ
cana-4961	50	11	with	with	ADP
cana-4961	50	12	large	large	ADJ
cana-4961	50	13	datasets	dataset	NOUN
cana-4961	50	14	,	,	PUNCT
cana-4961	50	15	improved	improve	VERB
cana-4961	50	16	automated	automated	ADJ
cana-4961	50	17	systems	system	NOUN
cana-4961	50	18	'	'	PART
cana-4961	50	19	braking	braking	NOUN
cana-4961	50	20	reaction	reaction	NOUN
cana-4961	50	21	prediction	prediction	NOUN
cana-4961	50	22	accuracy	accuracy	NOUN
cana-4961	50	23	and	and	CCONJ
cana-4961	50	24	reduced	reduced	ADJ
cana-4961	50	25	system	system	NOUN
cana-4961	50	26	faults	fault	NOUN
cana-4961	50	27	(	(	PUNCT
cana-4961	50	28	[	[	X
cana-4961	50	29	7	7	NUM
cana-4961	50	30	]	]	PUNCT
cana-4961	50	31	,	,	PUNCT
cana-4961	50	32	[	[	X
cana-4961	50	33	9	9	NUM
cana-4961	50	34	]	]	SYM
cana-4961	50	35	)	)	PUNCT
cana-4961	50	36	.	.	PUNCT
cana-4961	51	1	●	●	PUNCT
cana-4961	51	2	deep	deep	ADJ
cana-4961	51	3	learning	learning	NOUN
cana-4961	51	4	and	and	CCONJ
cana-4961	51	5	neural	neural	ADJ
cana-4961	51	6	networks	network	NOUN
cana-4961	51	7	in	in	ADP
cana-4961	51	8	braking	brake	VERB
cana-4961	51	9	systems	system	NOUN
cana-4961	51	10	:	:	PUNCT
cana-4961	51	11	while	while	SCONJ
cana-4961	51	12	traditional	traditional	ADJ
cana-4961	51	13	ml	ml	NOUN
cana-4961	51	14	models	model	NOUN
cana-4961	51	15	required	require	VERB
cana-4961	51	16	human	human	ADJ
cana-4961	51	17	intervention	intervention	NOUN
cana-4961	51	18	to	to	PART
cana-4961	51	19	extract	extract	VERB
cana-4961	51	20	features	feature	NOUN
cana-4961	51	21	,	,	PUNCT
cana-4961	51	22	deep	deep	ADJ
cana-4961	51	23	learning	learning	NOUN
cana-4961	51	24	models	model	NOUN
cana-4961	51	25	such	such	ADJ
cana-4961	51	26	as	as	ADP
cana-4961	51	27	rnns	rnn	NOUN
cana-4961	51	28	and	and	CCONJ
cana-4961	51	29	lstm	lstm	NOUN
cana-4961	51	30	networks	network	NOUN
cana-4961	51	31	learned	learn	VERB
cana-4961	51	32	temporal	temporal	ADJ
cana-4961	51	33	patterns	pattern	NOUN
cana-4961	51	34	from	from	ADP
cana-4961	51	35	sequential	sequential	ADJ
cana-4961	51	36	sensor	sensor	NOUN
cana-4961	51	37	data	datum	NOUN
cana-4961	51	38	on	on	ADP
cana-4961	51	39	their	their	PRON
cana-4961	51	40	own	own	ADJ
cana-4961	51	41	(	(	PUNCT
cana-4961	51	42	[	[	X
cana-4961	51	43	8	8	NUM
cana-4961	51	44	]	]	PUNCT
cana-4961	51	45	,	,	PUNCT
cana-4961	51	46	[	[	X
cana-4961	51	47	10	10	NUM
cana-4961	51	48	]	]	PUNCT
cana-4961	51	49	)	)	PUNCT
cana-4961	51	50	.	.	PUNCT
cana-4961	52	1	by	by	ADP
cana-4961	52	2	analyzing	analyze	VERB
cana-4961	52	3	data	datum	NOUN
cana-4961	52	4	on	on	ADP
cana-4961	52	5	driver	driver	NOUN
cana-4961	52	6	actions	action	NOUN
cana-4961	52	7	,	,	PUNCT
cana-4961	52	8	vehicle	vehicle	NOUN
cana-4961	52	9	physics	physic	NOUN
cana-4961	52	10	,	,	PUNCT
cana-4961	52	11	and	and	CCONJ
cana-4961	52	12	nearby	nearby	ADJ
cana-4961	52	13	traffic	traffic	NOUN
cana-4961	52	14	patterns	pattern	NOUN
cana-4961	52	15	,	,	PUNCT
cana-4961	52	16	these	these	DET
cana-4961	52	17	models	model	NOUN
cana-4961	52	18	were	be	AUX
cana-4961	52	19	able	able	ADJ
cana-4961	52	20	to	to	PART
cana-4961	52	21	predict	predict	VERB
cana-4961	52	22	when	when	SCONJ
cana-4961	52	23	braking	braking	NOUN
cana-4961	52	24	would	would	AUX
cana-4961	52	25	be	be	AUX
cana-4961	52	26	necessary	necessary	ADJ
cana-4961	52	27	.	.	PUNCT
cana-4961	53	1	quick	quick	ADJ
cana-4961	53	2	braking	braking	NOUN
cana-4961	53	3	response	response	NOUN
cana-4961	53	4	was	be	AUX
cana-4961	53	5	made	make	VERB
cana-4961	53	6	possible	possible	ADJ
cana-4961	53	7	by	by	ADP
cana-4961	53	8	devices	device	NOUN
cana-4961	53	9	enabled	enable	VERB
cana-4961	53	10	by	by	ADP
cana-4961	53	11	deep	deep	ADJ
cana-4961	53	12	learning	learning	NOUN
cana-4961	53	13	,	,	PUNCT
cana-4961	53	14	significantly	significantly	ADV
cana-4961	53	15	reducing	reduce	VERB
cana-4961	53	16	reaction	reaction	NOUN
cana-4961	53	17	time	time	NOUN
cana-4961	53	18	in	in	ADP
cana-4961	53	19	critical	critical	ADJ
cana-4961	53	20	situations	situation	NOUN
cana-4961	53	21	.	.	PUNCT
cana-4961	54	1	by	by	ADP
cana-4961	54	2	integrating	integrate	VERB
cana-4961	54	3	real	real	ADJ
cana-4961	54	4	-	-	PUNCT
cana-4961	54	5	time	time	NOUN
cana-4961	54	6	braking	brake	VERB
cana-4961	54	7	behavior	behavior	NOUN
cana-4961	54	8	analysis	analysis	NOUN
cana-4961	54	9	with	with	ADP
cana-4961	54	10	sensor	sensor	NOUN
cana-4961	54	11	fusion	fusion	NOUN
cana-4961	54	12	from	from	ADP
cana-4961	54	13	lidar	lidar	NOUN
cana-4961	54	14	,	,	PUNCT
cana-4961	54	15	cameras	camera	NOUN
cana-4961	54	16	,	,	PUNCT
cana-4961	54	17	and	and	CCONJ
cana-4961	54	18	accelerometers	accelerometer	NOUN
cana-4961	54	19	,	,	PUNCT
cana-4961	54	20	ml	ml	NOUN
cana-4961	54	21	-	-	PUNCT
cana-4961	54	22	based	base	VERB
cana-4961	54	23	braking	braking	NOUN
cana-4961	54	24	systems	system	NOUN
cana-4961	54	25	optimize	optimize	VERB
cana-4961	54	26	stopping	stop	VERB
cana-4961	54	27	distance	distance	NOUN
cana-4961	54	28	and	and	CCONJ
cana-4961	54	29	improve	improve	VERB
cana-4961	54	30	safety	safety	NOUN
cana-4961	54	31	measures	measure	NOUN
cana-4961	54	32	(	(	PUNCT
cana-4961	54	33	[	[	X
cana-4961	54	34	2	2	NUM
cana-4961	54	35	]	]	PUNCT
cana-4961	54	36	,	,	PUNCT
cana-4961	54	37	[	[	X
cana-4961	54	38	3	3	NUM
cana-4961	54	39	]	]	PUNCT
cana-4961	54	40	,	,	PUNCT
cana-4961	54	41	[	[	X
cana-4961	54	42	6	6	NUM
cana-4961	54	43	]	]	NUM
cana-4961	54	44	)	)	PUNCT
cana-4961	54	45	.	.	PUNCT
cana-4961	55	1	2.2	2.2	NUM
cana-4961	55	2	.	.	PUNCT
cana-4961	56	1	intelligent	intelligent	ADJ
cana-4961	56	2	braking	braking	NOUN
cana-4961	56	3	and	and	CCONJ
cana-4961	56	4	predictive	predictive	ADJ
cana-4961	56	5	maintenance	maintenance	NOUN
cana-4961	56	6	predictive	predictive	ADJ
cana-4961	56	7	maintenance	maintenance	NOUN
cana-4961	56	8	emerged	emerge	VERB
cana-4961	56	9	as	as	ADP
cana-4961	56	10	another	another	DET
cana-4961	56	11	critical	critical	ADJ
cana-4961	56	12	application	application	NOUN
cana-4961	56	13	of	of	ADP
cana-4961	56	14	ml	ml	NOUN
cana-4961	56	15	in	in	ADP
cana-4961	56	16	braking	brake	VERB
cana-4961	56	17	systems	system	NOUN
cana-4961	56	18	,	,	PUNCT
cana-4961	56	19	enabling	enable	VERB
cana-4961	56	20	early	early	ADJ
cana-4961	56	21	detection	detection	NOUN
cana-4961	56	22	of	of	ADP
cana-4961	56	23	component	component	NOUN
cana-4961	56	24	wear	wear	NOUN
cana-4961	56	25	and	and	CCONJ
cana-4961	56	26	system	system	NOUN
cana-4961	56	27	malfunctions	malfunction	NOUN
cana-4961	56	28	.	.	PUNCT
cana-4961	57	1	traditional	traditional	ADJ
cana-4961	57	2	maintenance	maintenance	NOUN
cana-4961	57	3	relied	rely	VERB
cana-4961	57	4	on	on	ADP
cana-4961	57	5	fixed	fix	VERB
cana-4961	57	6	schedules	schedule	NOUN
cana-4961	57	7	or	or	CCONJ
cana-4961	57	8	manual	manual	ADJ
cana-4961	57	9	inspections	inspection	NOUN
cana-4961	57	10	,	,	PUNCT
cana-4961	57	11	often	often	ADV
cana-4961	57	12	leading	lead	VERB
cana-4961	57	13	to	to	ADP
cana-4961	57	14	inefficient	inefficient	ADJ
cana-4961	57	15	servicing	servicing	NOUN
cana-4961	57	16	and	and	CCONJ
cana-4961	57	17	missed	miss	VERB
cana-4961	57	18	failures	failure	NOUN
cana-4961	57	19	.	.	PUNCT
cana-4961	58	1	ml	ml	VERB
cana-4961	58	2	-	-	PUNCT
cana-4961	58	3	driven	drive	VERB
cana-4961	58	4	predictive	predictive	ADJ
cana-4961	58	5	maintenance	maintenance	NOUN
cana-4961	58	6	utilized	utilize	VERB
cana-4961	58	7	continuous	continuous	ADJ
cana-4961	58	8	sensor	sensor	NOUN
cana-4961	58	9	data	datum	NOUN
cana-4961	58	10	to	to	PART
cana-4961	58	11	estimate	estimate	VERB
cana-4961	58	12	brake	brake	NOUN
cana-4961	58	13	pad	pad	NOUN
cana-4961	58	14	wear	wear	NOUN
cana-4961	58	15	,	,	PUNCT
cana-4961	58	16	hydraulic	hydraulic	ADJ
cana-4961	58	17	performance	performance	NOUN
cana-4961	58	18	,	,	PUNCT
cana-4961	58	19	and	and	CCONJ
cana-4961	58	20	failure	failure	NOUN
cana-4961	58	21	probabilities	probability	NOUN
cana-4961	58	22	(	(	PUNCT
cana-4961	58	23	[	[	X
cana-4961	58	24	7	7	NUM
cana-4961	58	25	]	]	PUNCT
cana-4961	58	26	,	,	PUNCT
cana-4961	58	27	[	[	X
cana-4961	58	28	9	9	NUM
cana-4961	58	29	]	]	NUM
cana-4961	58	30	)	)	PUNCT
cana-4961	58	31	.	.	PUNCT
cana-4961	59	1	communications	communication	NOUN
cana-4961	59	2	on	on	ADP
cana-4961	59	3	applied	apply	VERB
cana-4961	59	4	nonlinear	nonlinear	ADJ
cana-4961	59	5	analysis	analysis	NOUN
cana-4961	59	6	issn	issn	NOUN
cana-4961	59	7	:	:	PUNCT
cana-4961	59	8	1074	1074	NUM
cana-4961	59	9	-	-	PUNCT
cana-4961	59	10	133x	133x	NUM
cana-4961	59	11	vol	vol	VERB
cana-4961	59	12	32	32	NUM
cana-4961	59	13	no	no	NOUN
cana-4961	59	14	.	.	PUNCT
cana-4961	60	1	10s	10	NOUN
cana-4961	60	2	(	(	PUNCT
cana-4961	60	3	2025	2025	NUM
cana-4961	60	4	)	)	PUNCT
cana-4961	60	5	1086	1086	NUM
cana-4961	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	60	7	●	●	SYM
cana-4961	60	8	sensor	sensor	NOUN
cana-4961	60	9	-	-	PUNCT
cana-4961	60	10	based	base	VERB
cana-4961	60	11	wear	wear	NOUN
cana-4961	60	12	prediction	prediction	NOUN
cana-4961	60	13	and	and	CCONJ
cana-4961	60	14	fault	fault	VERB
cana-4961	60	15	detection	detection	NOUN
cana-4961	60	16	:	:	PUNCT
cana-4961	60	17	ml	ml	PROPN
cana-4961	60	18	models	model	NOUN
cana-4961	60	19	analyzed	analyze	VERB
cana-4961	60	20	data	datum	NOUN
cana-4961	60	21	from	from	ADP
cana-4961	60	22	brake	brake	NOUN
cana-4961	60	23	pad	pad	NOUN
cana-4961	60	24	wear	wear	NOUN
cana-4961	60	25	sensors	sensor	NOUN
cana-4961	60	26	,	,	PUNCT
cana-4961	60	27	hydraulic	hydraulic	ADJ
cana-4961	60	28	pressure	pressure	NOUN
cana-4961	60	29	gauges	gauge	NOUN
cana-4961	60	30	,	,	PUNCT
cana-4961	60	31	temperature	temperature	NOUN
cana-4961	60	32	monitors	monitor	NOUN
cana-4961	60	33	,	,	PUNCT
cana-4961	60	34	and	and	CCONJ
cana-4961	60	35	abs	ab	VERB
cana-4961	60	36	feedback	feedback	NOUN
cana-4961	60	37	systems	system	NOUN
cana-4961	60	38	to	to	PART
cana-4961	60	39	identify	identify	VERB
cana-4961	60	40	anomalies	anomaly	NOUN
cana-4961	60	41	in	in	ADP
cana-4961	60	42	braking	brake	VERB
cana-4961	60	43	performance	performance	NOUN
cana-4961	60	44	(	(	PUNCT
cana-4961	60	45	[	[	X
cana-4961	60	46	1	1	NUM
cana-4961	60	47	]	]	PUNCT
cana-4961	60	48	,	,	PUNCT
cana-4961	60	49	[	[	X
cana-4961	60	50	3	3	NUM
cana-4961	60	51	]	]	PUNCT
cana-4961	60	52	,	,	PUNCT
cana-4961	60	53	[	[	X
cana-4961	60	54	8	8	NUM
cana-4961	60	55	]	]	NUM
cana-4961	60	56	)	)	PUNCT
cana-4961	60	57	.	.	PUNCT
cana-4961	61	1	algorithms	algorithm	NOUN
cana-4961	61	2	like	like	ADP
cana-4961	61	3	xgboost	xgboost	NOUN
cana-4961	61	4	and	and	CCONJ
cana-4961	61	5	lgbm	lgbm	ADJ
cana-4961	61	6	classified	classified	ADJ
cana-4961	61	7	braking	brake	VERB
cana-4961	61	8	patterns	pattern	NOUN
cana-4961	61	9	into	into	ADP
cana-4961	61	10	normal	normal	ADJ
cana-4961	61	11	and	and	CCONJ
cana-4961	61	12	abnormal	abnormal	ADJ
cana-4961	61	13	categories	category	NOUN
cana-4961	61	14	,	,	PUNCT
cana-4961	61	15	enabling	enable	VERB
cana-4961	61	16	early	early	ADJ
cana-4961	61	17	prediction	prediction	NOUN
cana-4961	61	18	of	of	ADP
cana-4961	61	19	brake	brake	NOUN
cana-4961	61	20	pad	pad	NOUN
cana-4961	61	21	degradation	degradation	NOUN
cana-4961	61	22	,	,	PUNCT
cana-4961	61	23	disc	disc	NOUN
cana-4961	61	24	overheating	overheating	ADJ
cana-4961	61	25	,	,	PUNCT
cana-4961	61	26	and	and	CCONJ
cana-4961	61	27	pressure	pressure	NOUN
cana-4961	61	28	loss	loss	NOUN
cana-4961	61	29	(	(	PUNCT
cana-4961	61	30	[	[	X
cana-4961	61	31	5	5	NUM
cana-4961	61	32	]	]	PUNCT
cana-4961	61	33	,	,	PUNCT
cana-4961	61	34	[	[	X
cana-4961	61	35	9	9	NUM
cana-4961	61	36	]	]	PUNCT
cana-4961	61	37	)	)	PUNCT
cana-4961	61	38	.	.	PUNCT
cana-4961	62	1	by	by	ADP
cana-4961	62	2	leveraging	leverage	VERB
cana-4961	62	3	real	real	ADJ
cana-4961	62	4	-	-	PUNCT
cana-4961	62	5	time	time	NOUN
cana-4961	62	6	diagnostics	diagnostic	NOUN
cana-4961	62	7	,	,	PUNCT
cana-4961	62	8	ml	ml	NOUN
cana-4961	62	9	-	-	PUNCT
cana-4961	62	10	powered	power	VERB
cana-4961	62	11	braking	braking	NOUN
cana-4961	62	12	systems	system	NOUN
cana-4961	62	13	improve	improve	VERB
cana-4961	62	14	long	long	ADJ
cana-4961	62	15	-	-	PUNCT
cana-4961	62	16	term	term	NOUN
cana-4961	62	17	reliability	reliability	NOUN
cana-4961	62	18	,	,	PUNCT
cana-4961	62	19	minimize	minimize	VERB
cana-4961	62	20	sudden	sudden	ADJ
cana-4961	62	21	breakdowns	breakdown	NOUN
cana-4961	62	22	,	,	PUNCT
cana-4961	62	23	and	and	CCONJ
cana-4961	62	24	optimize	optimize	VERB
cana-4961	62	25	vehicle	vehicle	NOUN
cana-4961	62	26	servicing	servicing	NOUN
cana-4961	62	27	intervals	interval	NOUN
cana-4961	62	28	,	,	PUNCT
cana-4961	62	29	ensuring	ensure	VERB
cana-4961	62	30	enhanced	enhanced	ADJ
cana-4961	62	31	safety	safety	NOUN
cana-4961	62	32	and	and	CCONJ
cana-4961	62	33	performance	performance	NOUN
cana-4961	62	34	across	across	ADP
cana-4961	62	35	diverse	diverse	ADJ
cana-4961	62	36	driving	driving	NOUN
cana-4961	62	37	environments	environment	NOUN
cana-4961	62	38	(	(	PUNCT
cana-4961	62	39	[	[	X
cana-4961	62	40	6	6	NUM
cana-4961	62	41	]	]	PUNCT
cana-4961	62	42	,	,	PUNCT
cana-4961	62	43	[	[	X
cana-4961	62	44	10	10	NUM
cana-4961	62	45	]	]	NUM
cana-4961	62	46	)	)	PUNCT
cana-4961	62	47	.	.	PUNCT
cana-4961	63	1	3	3	X
cana-4961	63	2	.	.	X
cana-4961	63	3	research	research	NOUN
cana-4961	63	4	methodology	methodology	NOUN
cana-4961	63	5	:	:	PUNCT
cana-4961	63	6	this	this	DET
cana-4961	63	7	study	study	NOUN
cana-4961	63	8	deals	deal	VERB
cana-4961	63	9	with	with	ADP
cana-4961	63	10	data	datum	NOUN
cana-4961	63	11	collection	collection	NOUN
cana-4961	63	12	3.1	3.1	NUM
cana-4961	63	13	data	datum	NOUN
cana-4961	63	14	collection	collection	NOUN
cana-4961	63	15	data	datum	NOUN
cana-4961	63	16	is	be	AUX
cana-4961	63	17	collected	collect	VERB
cana-4961	63	18	from	from	ADP
cana-4961	63	19	the	the	DET
cana-4961	63	20	fleet	fleet	NOUN
cana-4961	63	21	of	of	ADP
cana-4961	63	22	300	300	NUM
cana-4961	63	23	vehicles	vehicle	NOUN
cana-4961	63	24	table	table	NOUN
cana-4961	63	25	1	1	NUM
cana-4961	63	26	:	:	PUNCT
cana-4961	63	27	dataset	dataset	VERB
cana-4961	63	28	dataset	dataset	NOUN
cana-4961	63	29	description	description	NOUN
cana-4961	63	30	car	car	NOUN
cana-4961	64	1	i	i	NOUN
cana-4961	64	2	d	d	PROPN
cana-4961	64	3	a	a	DET
cana-4961	64	4	unique	unique	ADJ
cana-4961	64	5	identifier	identifier	NOUN
cana-4961	64	6	assigned	assign	VERB
cana-4961	64	7	to	to	ADP
cana-4961	64	8	each	each	DET
cana-4961	64	9	vehicle	vehicle	NOUN
cana-4961	64	10	in	in	ADP
cana-4961	64	11	the	the	DET
cana-4961	64	12	dataset	dataset	NOUN
cana-4961	64	13	.	.	PUNCT
cana-4961	65	1	year	year	NOUN
cana-4961	65	2	of	of	ADP
cana-4961	65	3	manufacture	manufacture	NOUN
cana-4961	65	4	the	the	DET
cana-4961	65	5	year	year	NOUN
cana-4961	65	6	in	in	ADP
cana-4961	65	7	which	which	PRON
cana-4961	65	8	the	the	DET
cana-4961	65	9	vehicle	vehicle	NOUN
cana-4961	65	10	was	be	AUX
cana-4961	65	11	produced	produce	VERB
cana-4961	65	12	.	.	PUNCT
cana-4961	66	1	mileage	mileage	NOUN
cana-4961	66	2	(	(	PUNCT
cana-4961	66	3	km	km	PROPN
cana-4961	66	4	)	)	PUNCT
cana-4961	66	5	the	the	DET
cana-4961	66	6	total	total	ADJ
cana-4961	66	7	distance	distance	NOUN
cana-4961	66	8	traveled	travel	VERB
cana-4961	66	9	by	by	ADP
cana-4961	66	10	the	the	DET
cana-4961	66	11	vehicle	vehicle	NOUN
cana-4961	66	12	,	,	PUNCT
cana-4961	66	13	measured	measure	VERB
cana-4961	66	14	in	in	ADP
cana-4961	66	15	kilometers	kilometer	NOUN
cana-4961	66	16	.	.	PUNCT
cana-4961	67	1	brake	brake	NOUN
cana-4961	67	2	pad	pad	NOUN
cana-4961	67	3	thickness	thickness	NOUN
cana-4961	67	4	(	(	PUNCT
cana-4961	67	5	mm	mm	X
cana-4961	67	6	)	)	PUNCT
cana-4961	67	7	the	the	DET
cana-4961	67	8	thickness	thickness	NOUN
cana-4961	67	9	of	of	ADP
cana-4961	67	10	the	the	DET
cana-4961	67	11	brake	brake	NOUN
cana-4961	67	12	pads	pad	NOUN
cana-4961	67	13	,	,	PUNCT
cana-4961	67	14	measured	measure	VERB
cana-4961	67	15	in	in	ADP
cana-4961	67	16	millimeters	millimeter	NOUN
cana-4961	67	17	,	,	PUNCT
cana-4961	67	18	indicating	indicate	VERB
cana-4961	67	19	wear	wear	VERB
cana-4961	67	20	level	level	NOUN
cana-4961	67	21	.	.	PUNCT
cana-4961	68	1	maintenance	maintenance	NOUN
cana-4961	68	2	type	type	NOUN
cana-4961	68	3	the	the	DET
cana-4961	68	4	category	category	NOUN
cana-4961	68	5	of	of	ADP
cana-4961	68	6	maintenance	maintenance	NOUN
cana-4961	68	7	performed	perform	VERB
cana-4961	68	8	on	on	ADP
cana-4961	68	9	the	the	DET
cana-4961	68	10	braking	brake	VERB
cana-4961	68	11	system	system	NOUN
cana-4961	68	12	(	(	PUNCT
cana-4961	68	13	e.g.	e.g.	ADV
cana-4961	68	14	,	,	PUNCT
cana-4961	68	15	regular	regular	ADJ
cana-4961	68	16	,	,	PUNCT
cana-4961	68	17	emergency	emergency	NOUN
cana-4961	68	18	,	,	PUNCT
cana-4961	68	19	none	none	NOUN
cana-4961	68	20	)	)	PUNCT
cana-4961	68	21	.	.	PUNCT
cana-4961	69	1	brake	brake	NOUN
cana-4961	69	2	fluid	fluid	ADJ
cana-4961	69	3	level	level	NOUN
cana-4961	69	4	(	(	PUNCT
cana-4961	69	5	%	%	INTJ
cana-4961	69	6	)	)	PUNCT
cana-4961	69	7	the	the	DET
cana-4961	69	8	percentage	percentage	NOUN
cana-4961	69	9	of	of	ADP
cana-4961	69	10	brake	brake	NOUN
cana-4961	69	11	fluid	fluid	NOUN
cana-4961	69	12	available	available	ADJ
cana-4961	69	13	in	in	ADP
cana-4961	69	14	the	the	DET
cana-4961	69	15	system	system	NOUN
cana-4961	69	16	,	,	PUNCT
cana-4961	69	17	impacting	impact	VERB
cana-4961	69	18	braking	braking	NOUN
cana-4961	69	19	efficiency	efficiency	NOUN
cana-4961	69	20	.	.	PUNCT
cana-4961	70	1	brake	brake	NOUN
cana-4961	70	2	temperature	temperature	NOUN
cana-4961	70	3	(	(	PUNCT
cana-4961	70	4	°	°	ADP
cana-4961	70	5	c	c	X
cana-4961	70	6	)	)	PUNCT
cana-4961	70	7	the	the	DET
cana-4961	70	8	temperature	temperature	NOUN
cana-4961	70	9	of	of	ADP
cana-4961	70	10	the	the	DET
cana-4961	70	11	braking	brake	VERB
cana-4961	70	12	system	system	NOUN
cana-4961	70	13	during	during	ADP
cana-4961	70	14	operation	operation	NOUN
cana-4961	70	15	,	,	PUNCT
cana-4961	70	16	affecting	affect	VERB
cana-4961	70	17	performance	performance	NOUN
cana-4961	70	18	.	.	PUNCT
cana-4961	71	1	brake	brake	NOUN
cana-4961	71	2	failure	failure	NOUN
cana-4961	71	3	a	a	DET
cana-4961	71	4	binary	binary	ADJ
cana-4961	71	5	indicator	indicator	NOUN
cana-4961	71	6	(	(	PUNCT
cana-4961	71	7	yes	yes	INTJ
cana-4961	71	8	/	/	SYM
cana-4961	71	9	no	no	NOUN
cana-4961	71	10	)	)	PUNCT
cana-4961	71	11	representing	represent	VERB
cana-4961	71	12	whether	whether	SCONJ
cana-4961	71	13	a	a	DET
cana-4961	71	14	brake	brake	NOUN
cana-4961	71	15	failure	failure	NOUN
cana-4961	71	16	has	have	AUX
cana-4961	71	17	occurred	occur	VERB
cana-4961	71	18	.	.	PUNCT
cana-4961	72	1	table	table	NOUN
cana-4961	72	2	2	2	NUM
cana-4961	72	3	:	:	PUNCT
cana-4961	72	4	maintainance	maintainance	NOUN
cana-4961	72	5	type	type	NOUN
cana-4961	72	6	maintainance	maintainance	NOUN
cana-4961	72	7	type	type	NOUN
cana-4961	72	8	count	count	NOUN
cana-4961	72	9	1	1	NUM
cana-4961	72	10	time	time	NOUN
cana-4961	72	11	replaced	replace	VERB
cana-4961	72	12	51	51	NUM
cana-4961	72	13	3	3	NUM
cana-4961	72	14	time	time	NOUN
cana-4961	72	15	brake	brake	NOUN
cana-4961	72	16	pad	pad	NOUN
cana-4961	72	17	change	change	NOUN
cana-4961	72	18	39	39	NUM
cana-4961	72	19	1	1	NUM
cana-4961	72	20	time	time	NOUN
cana-4961	72	21	around	around	ADP
cana-4961	72	22	55k	55k	PROPN
cana-4961	72	23	27	27	NUM
cana-4961	72	24	2	2	NUM
cana-4961	72	25	time	time	NOUN
cana-4961	72	26	brake	brake	NOUN
cana-4961	72	27	pad	pad	NOUN
cana-4961	72	28	change	change	NOUN
cana-4961	72	29	26	26	NUM
cana-4961	72	30	repair	repair	NOUN
cana-4961	72	31	25	25	NUM
cana-4961	72	32	1	1	NUM
cana-4961	72	33	time	time	NOUN
cana-4961	72	34	change	change	NOUN
cana-4961	72	35	around	around	ADP
cana-4961	72	36	75k	75k	NOUN
cana-4961	72	37	22	22	NUM
cana-4961	72	38	communications	communication	NOUN
cana-4961	72	39	on	on	ADP
cana-4961	72	40	applied	apply	VERB
cana-4961	72	41	nonlinear	nonlinear	ADJ
cana-4961	72	42	analysis	analysis	NOUN
cana-4961	72	43	issn	issn	NOUN
cana-4961	72	44	:	:	PUNCT
cana-4961	72	45	1074	1074	NUM
cana-4961	72	46	-	-	PUNCT
cana-4961	72	47	133x	133x	NUM
cana-4961	72	48	vol	vol	VERB
cana-4961	72	49	32	32	NUM
cana-4961	72	50	no	no	NOUN
cana-4961	72	51	.	.	PUNCT
cana-4961	73	1	10s	10	NOUN
cana-4961	73	2	(	(	PUNCT
cana-4961	73	3	2025	2025	NUM
cana-4961	73	4	)	)	PUNCT
cana-4961	73	5	1087	1087	NUM
cana-4961	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	73	7	1	1	NUM
cana-4961	73	8	time	time	NOUN
cana-4961	73	9	changed	change	VERB
cana-4961	73	10	due	due	ADP
cana-4961	73	11	to	to	ADP
cana-4961	73	12	flood	flood	NOUN
cana-4961	73	13	warrentry	warrentry	ADJ
cana-4961	73	14	21	21	NUM
cana-4961	73	15	routine	routine	ADJ
cana-4961	73	16	maintenance	maintenance	NOUN
cana-4961	73	17	20	20	NUM
cana-4961	73	18	1	1	NUM
cana-4961	73	19	times	time	NOUN
cana-4961	73	20	brake	brake	NOUN
cana-4961	73	21	pad	pad	NOUN
cana-4961	73	22	change	change	NOUN
cana-4961	73	23	20	20	NUM
cana-4961	73	24	1	1	NUM
cana-4961	73	25	time	time	NOUN
cana-4961	73	26	changes	change	NOUN
cana-4961	73	27	due	due	ADJ
cana-4961	73	28	to	to	PART
cana-4961	73	29	noise	noise	VERB
cana-4961	73	30	20	20	NUM
cana-4961	73	31	1	1	NUM
cana-4961	73	32	time	time	NOUN
cana-4961	73	33	changed	change	VERB
cana-4961	73	34	19	19	NUM
cana-4961	73	35	1	1	NUM
cana-4961	73	36	time	time	NOUN
cana-4961	73	37	change	change	NOUN
cana-4961	73	38	approx	approx	NOUN
cana-4961	73	39	.	.	PUNCT
cana-4961	74	1	60k	60k	NOUN
cana-4961	74	2	10	10	NUM
cana-4961	74	3	3.2	3.2	NUM
cana-4961	74	4	model	model	NOUN
cana-4961	74	5	development	development	NOUN
cana-4961	74	6	3.2.1	3.2.1	NUM
cana-4961	74	7	logistic	logistic	ADJ
cana-4961	74	8	regression	regression	NOUN
cana-4961	74	9	lr	lr	NOUN
cana-4961	74	10	is	be	AUX
cana-4961	74	11	a	a	DET
cana-4961	74	12	statistical	statistical	ADJ
cana-4961	74	13	model	model	NOUN
cana-4961	74	14	frequently	frequently	ADV
cana-4961	74	15	employed	employ	VERB
cana-4961	74	16	for	for	ADP
cana-4961	74	17	binary	binary	ADJ
cana-4961	74	18	classification	classification	NOUN
cana-4961	74	19	tasks	task	NOUN
cana-4961	74	20	,	,	PUNCT
cana-4961	74	21	rendering	render	VERB
cana-4961	74	22	it	it	PRON
cana-4961	74	23	appropriate	appropriate	ADJ
cana-4961	74	24	for	for	ADP
cana-4961	74	25	predicting	predict	VERB
cana-4961	74	26	brake	brake	NOUN
cana-4961	74	27	failure	failure	NOUN
cana-4961	74	28	(	(	PUNCT
cana-4961	74	29	yes	yes	INTJ
cana-4961	74	30	/	/	SYM
cana-4961	74	31	no	no	NOUN
cana-4961	74	32	)	)	PUNCT
cana-4961	74	33	in	in	ADP
cana-4961	74	34	this	this	DET
cana-4961	74	35	analysis	analysis	NOUN
cana-4961	74	36	.	.	PUNCT
cana-4961	75	1	it	it	PRON
cana-4961	75	2	calculates	calculate	VERB
cana-4961	75	3	the	the	DET
cana-4961	75	4	likelihood	likelihood	NOUN
cana-4961	75	5	of	of	ADP
cana-4961	75	6	a	a	DET
cana-4961	75	7	specific	specific	ADJ
cana-4961	75	8	result	result	NOUN
cana-4961	75	9	via	via	ADP
cana-4961	75	10	a	a	DET
cana-4961	75	11	sigmoid	sigmoid	NOUN
cana-4961	75	12	function	function	NOUN
cana-4961	75	13	.	.	PUNCT
cana-4961	76	1	logistic	logistic	ADJ
cana-4961	76	2	regression	regression	NOUN
cana-4961	76	3	was	be	AUX
cana-4961	76	4	utilized	utilize	VERB
cana-4961	76	5	to	to	PART
cana-4961	76	6	evaluate	evaluate	VERB
cana-4961	76	7	the	the	DET
cana-4961	76	8	probability	probability	NOUN
cana-4961	76	9	of	of	ADP
cana-4961	76	10	brake	brake	NOUN
cana-4961	76	11	failure	failure	NOUN
cana-4961	76	12	in	in	ADP
cana-4961	76	13	car	car	NOUN
cana-4961	76	14	braking	braking	NOUN
cana-4961	76	15	systems	system	NOUN
cana-4961	76	16	,	,	PUNCT
cana-4961	76	17	including	include	VERB
cana-4961	76	18	factors	factor	NOUN
cana-4961	76	19	such	such	ADJ
cana-4961	76	20	as	as	ADP
cana-4961	76	21	brake	brake	NOUN
cana-4961	76	22	pad	pad	NOUN
cana-4961	76	23	wear	wear	NOUN
cana-4961	76	24	,	,	PUNCT
cana-4961	76	25	maintenance	maintenance	NOUN
cana-4961	76	26	history	history	NOUN
cana-4961	76	27	,	,	PUNCT
cana-4961	76	28	mileage	mileage	NOUN
cana-4961	76	29	,	,	PUNCT
cana-4961	76	30	and	and	CCONJ
cana-4961	76	31	driving	drive	VERB
cana-4961	76	32	conditions	condition	NOUN
cana-4961	76	33	.	.	PUNCT
cana-4961	77	1	the	the	DET
cana-4961	77	2	model	model	NOUN
cana-4961	77	3	generated	generate	VERB
cana-4961	77	4	a	a	DET
cana-4961	77	5	probability	probability	NOUN
cana-4961	77	6	score	score	NOUN
cana-4961	77	7	,	,	PUNCT
cana-4961	77	8	enabling	enable	VERB
cana-4961	77	9	the	the	DET
cana-4961	77	10	system	system	NOUN
cana-4961	77	11	to	to	PART
cana-4961	77	12	categorize	categorize	VERB
cana-4961	77	13	a	a	DET
cana-4961	77	14	situation	situation	NOUN
cana-4961	77	15	as	as	ADP
cana-4961	77	16	a	a	DET
cana-4961	77	17	probable	probable	ADJ
cana-4961	77	18	failure	failure	NOUN
cana-4961	77	19	if	if	SCONJ
cana-4961	77	20	the	the	DET
cana-4961	77	21	score	score	NOUN
cana-4961	77	22	over	over	ADP
cana-4961	77	23	a	a	DET
cana-4961	77	24	predetermined	predetermine	VERB
cana-4961	77	25	threshold	threshold	NOUN
cana-4961	77	26	(	(	PUNCT
cana-4961	77	27	e.g.	e.g.	ADV
cana-4961	77	28	,	,	PUNCT
cana-4961	77	29	0.5	0.5	NUM
cana-4961	77	30	)	)	PUNCT
cana-4961	77	31	,	,	PUNCT
cana-4961	77	32	thereby	thereby	ADV
cana-4961	77	33	facilitating	facilitate	VERB
cana-4961	77	34	preventative	preventative	ADJ
cana-4961	77	35	maintenance	maintenance	NOUN
cana-4961	77	36	decisions	decision	NOUN
cana-4961	77	37	.	.	PUNCT
cana-4961	78	1	the	the	DET
cana-4961	78	2	advantages	advantage	NOUN
cana-4961	78	3	included	include	VERB
cana-4961	78	4	high	high	ADJ
cana-4961	78	5	interpretability	interpretability	NOUN
cana-4961	78	6	,	,	PUNCT
cana-4961	78	7	reduced	reduce	VERB
cana-4961	78	8	computing	computing	NOUN
cana-4961	78	9	cost	cost	NOUN
cana-4961	78	10	relative	relative	ADJ
cana-4961	78	11	to	to	ADP
cana-4961	78	12	more	more	ADV
cana-4961	78	13	sophisticated	sophisticated	ADJ
cana-4961	78	14	models	model	NOUN
cana-4961	78	15	such	such	ADJ
cana-4961	78	16	as	as	ADP
cana-4961	78	17	random	random	ADJ
cana-4961	78	18	forest	forest	NOUN
cana-4961	78	19	or	or	CCONJ
cana-4961	78	20	xgboost	xgboost	NUM
cana-4961	78	21	,	,	PUNCT
cana-4961	78	22	and	and	CCONJ
cana-4961	78	23	probabilistic	probabilistic	ADJ
cana-4961	78	24	outputs	output	NOUN
cana-4961	78	25	that	that	PRON
cana-4961	78	26	facilitated	facilitate	VERB
cana-4961	78	27	risk	risk	NOUN
cana-4961	78	28	assessment	assessment	NOUN
cana-4961	78	29	and	and	CCONJ
cana-4961	78	30	decision	decision	NOUN
cana-4961	78	31	-	-	PUNCT
cana-4961	78	32	making	making	NOUN
cana-4961	78	33	.	.	PUNCT
cana-4961	79	1	3.2.2	3.2.2	NUM
cana-4961	79	2	decision	decision	NOUN
cana-4961	79	3	tree	tree	NOUN
cana-4961	79	4	one	one	NUM
cana-4961	79	5	supervised	supervised	ADJ
cana-4961	79	6	machine	machine	NOUN
cana-4961	79	7	learning	learning	NOUN
cana-4961	79	8	method	method	NOUN
cana-4961	79	9	is	be	AUX
cana-4961	79	10	the	the	DET
cana-4961	79	11	decision	decision	NOUN
cana-4961	79	12	tree	tree	NOUN
cana-4961	79	13	,	,	PUNCT
cana-4961	79	14	which	which	PRON
cana-4961	79	15	uses	use	VERB
cana-4961	79	16	a	a	DET
cana-4961	79	17	tree	tree	NOUN
cana-4961	79	18	-	-	PUNCT
cana-4961	79	19	like	like	ADJ
cana-4961	79	20	structure	structure	NOUN
cana-4961	79	21	with	with	ADP
cana-4961	79	22	decision	decision	NOUN
cana-4961	79	23	nodes	node	NOUN
cana-4961	79	24	,	,	PUNCT
cana-4961	79	25	branches	branch	NOUN
cana-4961	79	26	,	,	PUNCT
cana-4961	79	27	and	and	CCONJ
cana-4961	79	28	leaf	leaf	NOUN
cana-4961	79	29	nodes	node	NOUN
cana-4961	79	30	to	to	PART
cana-4961	79	31	represent	represent	VERB
cana-4961	79	32	outcomes	outcome	NOUN
cana-4961	79	33	;	;	PUNCT
cana-4961	79	34	the	the	DET
cana-4961	79	35	method	method	NOUN
cana-4961	79	36	involves	involve	VERB
cana-4961	79	37	iteratively	iteratively	ADV
cana-4961	79	38	partitioning	partition	VERB
cana-4961	79	39	data	datum	NOUN
cana-4961	79	40	into	into	ADP
cana-4961	79	41	subsets	subset	NOUN
cana-4961	79	42	based	base	VERB
cana-4961	79	43	on	on	ADP
cana-4961	79	44	feature	feature	NOUN
cana-4961	79	45	criteria	criterion	NOUN
cana-4961	79	46	.	.	PUNCT
cana-4961	80	1	this	this	DET
cana-4961	80	2	study	study	NOUN
cana-4961	80	3	employed	employ	VERB
cana-4961	80	4	a	a	DET
cana-4961	80	5	decision	decision	NOUN
cana-4961	80	6	tree	tree	NOUN
cana-4961	80	7	model	model	NOUN
cana-4961	80	8	to	to	PART
cana-4961	80	9	forecast	forecast	VERB
cana-4961	80	10	brake	brake	NOUN
cana-4961	80	11	failure	failure	NOUN
cana-4961	80	12	by	by	ADP
cana-4961	80	13	examining	examine	VERB
cana-4961	80	14	variables	variable	NOUN
cana-4961	80	15	such	such	ADJ
cana-4961	80	16	as	as	ADP
cana-4961	80	17	brake	brake	NOUN
cana-4961	80	18	pad	pad	NOUN
cana-4961	80	19	wear	wear	NOUN
cana-4961	80	20	,	,	PUNCT
cana-4961	80	21	maintenance	maintenance	NOUN
cana-4961	80	22	history	history	NOUN
cana-4961	80	23	,	,	PUNCT
cana-4961	80	24	and	and	CCONJ
cana-4961	80	25	vehicle	vehicle	NOUN
cana-4961	80	26	usage	usage	NOUN
cana-4961	80	27	patterns	pattern	NOUN
cana-4961	80	28	,	,	PUNCT
cana-4961	80	29	including	include	VERB
cana-4961	80	30	miles	mile	NOUN
cana-4961	80	31	,	,	PUNCT
cana-4961	80	32	road	road	NOUN
cana-4961	80	33	conditions	condition	NOUN
cana-4961	80	34	,	,	PUNCT
cana-4961	80	35	and	and	CCONJ
cana-4961	80	36	driving	drive	VERB
cana-4961	80	37	behavior	behavior	NOUN
cana-4961	80	38	.	.	PUNCT
cana-4961	81	1	its	its	PRON
cana-4961	81	2	interpretability	interpretability	NOUN
cana-4961	81	3	rendered	render	VERB
cana-4961	81	4	it	it	PRON
cana-4961	81	5	essential	essential	ADJ
cana-4961	81	6	in	in	ADP
cana-4961	81	7	identifying	identify	VERB
cana-4961	81	8	principal	principal	ADJ
cana-4961	81	9	factors	factor	NOUN
cana-4961	81	10	influencing	influence	VERB
cana-4961	81	11	brake	brake	NOUN
cana-4961	81	12	system	system	NOUN
cana-4961	81	13	reliability	reliability	NOUN
cana-4961	81	14	.	.	PUNCT
cana-4961	82	1	decision	decision	NOUN
cana-4961	82	2	trees	tree	NOUN
cana-4961	82	3	presented	present	VERB
cana-4961	82	4	numerous	numerous	ADJ
cana-4961	82	5	advantages	advantage	NOUN
cana-4961	82	6	:	:	PUNCT
cana-4961	82	7	they	they	PRON
cana-4961	82	8	were	be	AUX
cana-4961	82	9	comprehensible	comprehensible	ADJ
cana-4961	82	10	,	,	PUNCT
cana-4961	82	11	adept	adept	ADJ
cana-4961	82	12	at	at	ADP
cana-4961	82	13	modeling	model	VERB
cana-4961	82	14	nonlinear	nonlinear	ADJ
cana-4961	82	15	relationships	relationship	NOUN
cana-4961	82	16	,	,	PUNCT
cana-4961	82	17	and	and	CCONJ
cana-4961	82	18	did	do	AUX
cana-4961	82	19	not	not	PART
cana-4961	82	20	necessitate	necessitate	ADJ
cana-4961	82	21	feature	feature	NOUN
cana-4961	82	22	scaling	scaling	NOUN
cana-4961	82	23	,	,	PUNCT
cana-4961	82	24	rendering	render	VERB
cana-4961	82	25	them	they	PRON
cana-4961	82	26	efficient	efficient	ADJ
cana-4961	82	27	for	for	ADP
cana-4961	82	28	managing	manage	VERB
cana-4961	82	29	varied	varied	ADJ
cana-4961	82	30	and	and	CCONJ
cana-4961	82	31	intricate	intricate	ADJ
cana-4961	82	32	input	input	NOUN
cana-4961	82	33	data	datum	NOUN
cana-4961	82	34	.	.	PUNCT
cana-4961	83	1	3.2.3	3.2.3	NUM
cana-4961	83	2	random	random	ADJ
cana-4961	83	3	forest	forest	NOUN
cana-4961	83	4	as	as	ADP
cana-4961	83	5	an	an	DET
cana-4961	83	6	ensemble	ensemble	ADJ
cana-4961	83	7	learning	learning	NOUN
cana-4961	83	8	method	method	NOUN
cana-4961	83	9	,	,	PUNCT
cana-4961	83	10	random	random	ADJ
cana-4961	83	11	forest	forest	NOUN
cana-4961	83	12	builds	build	VERB
cana-4961	83	13	multiple	multiple	ADJ
cana-4961	83	14	decision	decision	NOUN
cana-4961	83	15	trees	tree	NOUN
cana-4961	83	16	and	and	CCONJ
cana-4961	83	17	then	then	ADV
cana-4961	83	18	combines	combine	VERB
cana-4961	83	19	their	their	PRON
cana-4961	83	20	predictions	prediction	NOUN
cana-4961	83	21	to	to	PART
cana-4961	83	22	reduce	reduce	VERB
cana-4961	83	23	the	the	DET
cana-4961	83	24	risk	risk	NOUN
cana-4961	83	25	of	of	ADP
cana-4961	83	26	overfitting	overfitte	VERB
cana-4961	83	27	and	and	CCONJ
cana-4961	83	28	increase	increase	VERB
cana-4961	83	29	accuracy	accuracy	NOUN
cana-4961	83	30	.	.	PUNCT
cana-4961	84	1	it	it	PRON
cana-4961	84	2	is	be	AUX
cana-4961	84	3	ideally	ideally	ADV
cana-4961	84	4	suited	suit	VERB
cana-4961	84	5	for	for	ADP
cana-4961	84	6	classification	classification	NOUN
cana-4961	84	7	problems	problem	NOUN
cana-4961	84	8	such	such	ADJ
cana-4961	84	9	as	as	ADP
cana-4961	84	10	predicting	predict	VERB
cana-4961	84	11	brake	brake	NOUN
cana-4961	84	12	failure	failure	NOUN
cana-4961	84	13	,	,	PUNCT
cana-4961	84	14	when	when	SCONJ
cana-4961	84	15	numerous	numerous	ADJ
cana-4961	84	16	interacting	interact	VERB
cana-4961	84	17	factors	factor	NOUN
cana-4961	84	18	affect	affect	VERB
cana-4961	84	19	outcomes	outcome	NOUN
cana-4961	84	20	.	.	PUNCT
cana-4961	85	1	this	this	DET
cana-4961	85	2	study	study	NOUN
cana-4961	85	3	utilized	utilize	VERB
cana-4961	85	4	random	random	ADJ
cana-4961	85	5	forest	forest	NOUN
cana-4961	85	6	to	to	PART
cana-4961	85	7	examine	examine	VERB
cana-4961	85	8	parameters	parameter	NOUN
cana-4961	85	9	including	include	VERB
cana-4961	85	10	vehicle	vehicle	NOUN
cana-4961	85	11	usage	usage	NOUN
cana-4961	85	12	history	history	NOUN
cana-4961	85	13	,	,	PUNCT
cana-4961	85	14	brake	brake	NOUN
cana-4961	85	15	pad	pad	NOUN
cana-4961	85	16	wear	wear	NOUN
cana-4961	85	17	and	and	CCONJ
cana-4961	85	18	replacement	replacement	NOUN
cana-4961	85	19	frequency	frequency	NOUN
cana-4961	85	20	,	,	PUNCT
cana-4961	85	21	and	and	CCONJ
cana-4961	85	22	maintenance	maintenance	NOUN
cana-4961	85	23	records	record	NOUN
cana-4961	85	24	.	.	PUNCT
cana-4961	86	1	the	the	DET
cana-4961	86	2	model	model	NOUN
cana-4961	86	3	achieved	achieve	VERB
cana-4961	86	4	robustness	robustness	NOUN
cana-4961	86	5	against	against	ADP
cana-4961	86	6	noisy	noisy	ADJ
cana-4961	86	7	or	or	CCONJ
cana-4961	86	8	partial	partial	ADJ
cana-4961	86	9	data	datum	NOUN
cana-4961	86	10	by	by	ADP
cana-4961	86	11	consolidating	consolidate	VERB
cana-4961	86	12	the	the	DET
cana-4961	86	13	predictions	prediction	NOUN
cana-4961	86	14	of	of	ADP
cana-4961	86	15	many	many	ADJ
cana-4961	86	16	trees	tree	NOUN
cana-4961	86	17	by	by	ADP
cana-4961	86	18	majority	majority	NOUN
cana-4961	86	19	voting	voting	NOUN
cana-4961	86	20	.	.	PUNCT
cana-4961	87	1	the	the	DET
cana-4961	87	2	advantages	advantage	NOUN
cana-4961	87	3	encompassed	encompass	VERB
cana-4961	87	4	enhanced	enhanced	ADJ
cana-4961	87	5	accuracy	accuracy	NOUN
cana-4961	87	6	compared	compare	VERB
cana-4961	87	7	to	to	ADP
cana-4961	87	8	individual	individual	ADJ
cana-4961	87	9	decision	decision	NOUN
cana-4961	87	10	trees	tree	NOUN
cana-4961	87	11	,	,	PUNCT
cana-4961	87	12	diminished	diminish	VERB
cana-4961	87	13	chance	chance	NOUN
cana-4961	87	14	of	of	ADP
cana-4961	87	15	overfitting	overfitte	VERB
cana-4961	87	16	,	,	PUNCT
cana-4961	87	17	proficient	proficient	ADJ
cana-4961	87	18	management	management	NOUN
cana-4961	87	19	of	of	ADP
cana-4961	87	20	missing	miss	VERB
cana-4961	87	21	values	value	NOUN
cana-4961	87	22	,	,	PUNCT
cana-4961	87	23	and	and	CCONJ
cana-4961	87	24	the	the	DET
cana-4961	87	25	capacity	capacity	NOUN
cana-4961	87	26	to	to	PART
cana-4961	87	27	evaluate	evaluate	VERB
cana-4961	87	28	feature	feature	NOUN
cana-4961	87	29	priority	priority	NOUN
cana-4961	87	30	,	,	PUNCT
cana-4961	87	31	hence	hence	ADV
cana-4961	87	32	facilitating	facilitate	VERB
cana-4961	87	33	improved	improved	ADJ
cana-4961	87	34	comprehension	comprehension	NOUN
cana-4961	87	35	and	and	CCONJ
cana-4961	87	36	strategizing	strategizing	NOUN
cana-4961	87	37	for	for	ADP
cana-4961	87	38	preventative	preventative	ADJ
cana-4961	87	39	maintenance	maintenance	NOUN
cana-4961	87	40	.	.	PUNCT
cana-4961	88	1	communications	communication	NOUN
cana-4961	88	2	on	on	ADP
cana-4961	88	3	applied	apply	VERB
cana-4961	88	4	nonlinear	nonlinear	ADJ
cana-4961	88	5	analysis	analysis	NOUN
cana-4961	88	6	issn	issn	NOUN
cana-4961	88	7	:	:	PUNCT
cana-4961	88	8	1074	1074	NUM
cana-4961	88	9	-	-	PUNCT
cana-4961	88	10	133x	133x	NUM
cana-4961	88	11	vol	vol	VERB
cana-4961	88	12	32	32	NUM
cana-4961	88	13	no	no	NOUN
cana-4961	88	14	.	.	PUNCT
cana-4961	89	1	10s	10	NOUN
cana-4961	89	2	(	(	PUNCT
cana-4961	89	3	2025	2025	NUM
cana-4961	89	4	)	)	PUNCT
cana-4961	89	5	1088	1088	NUM
cana-4961	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	89	7	3.2.4	3.2.4	NUM
cana-4961	89	8	xgboost	xgboost	NOUN
cana-4961	89	9	xgboost	xgboost	ADV
cana-4961	90	1	(	(	PUNCT
cana-4961	90	2	extreme	extreme	ADJ
cana-4961	90	3	gradient	gradient	NOUN
cana-4961	90	4	boosting	boosting	NOUN
cana-4961	90	5	)	)	PUNCT
cana-4961	90	6	is	be	AUX
cana-4961	90	7	a	a	DET
cana-4961	90	8	robust	robust	ADJ
cana-4961	90	9	and	and	CCONJ
cana-4961	90	10	scalable	scalable	ADJ
cana-4961	90	11	machine	machine	NOUN
cana-4961	90	12	learning	learn	VERB
cana-4961	90	13	approach	approach	NOUN
cana-4961	90	14	employed	employ	VERB
cana-4961	90	15	in	in	ADP
cana-4961	90	16	this	this	DET
cana-4961	90	17	study	study	NOUN
cana-4961	90	18	to	to	PART
cana-4961	90	19	enhance	enhance	VERB
cana-4961	90	20	the	the	DET
cana-4961	90	21	precision	precision	NOUN
cana-4961	90	22	of	of	ADP
cana-4961	90	23	brake	brake	NOUN
cana-4961	90	24	failure	failure	NOUN
cana-4961	90	25	prediction	prediction	NOUN
cana-4961	90	26	.	.	PUNCT
cana-4961	91	1	grounded	ground	VERB
cana-4961	91	2	in	in	ADP
cana-4961	91	3	the	the	DET
cana-4961	91	4	principles	principle	NOUN
cana-4961	91	5	of	of	ADP
cana-4961	91	6	gradient	gradient	ADJ
cana-4961	91	7	boosting	boosting	NOUN
cana-4961	91	8	,	,	PUNCT
cana-4961	91	9	it	it	PRON
cana-4961	91	10	adeptly	adeptly	ADV
cana-4961	91	11	manages	manage	VERB
cana-4961	91	12	extensive	extensive	ADJ
cana-4961	91	13	datasets	dataset	NOUN
cana-4961	91	14	while	while	SCONJ
cana-4961	91	15	reducing	reduce	VERB
cana-4961	91	16	overfitting	overfitte	VERB
cana-4961	91	17	using	use	VERB
cana-4961	91	18	sophisticated	sophisticated	ADJ
cana-4961	91	19	regularization	regularization	NOUN
cana-4961	91	20	methods	method	NOUN
cana-4961	91	21	.	.	PUNCT
cana-4961	92	1	this	this	DET
cana-4961	92	2	study	study	NOUN
cana-4961	92	3	utilized	utilize	VERB
cana-4961	92	4	xgboost	xgboost	ADV
cana-4961	92	5	to	to	PART
cana-4961	92	6	examine	examine	VERB
cana-4961	92	7	characteristics	characteristic	NOUN
cana-4961	92	8	including	include	VERB
cana-4961	92	9	vehicle	vehicle	NOUN
cana-4961	92	10	maintenance	maintenance	NOUN
cana-4961	92	11	history	history	NOUN
cana-4961	92	12	,	,	PUNCT
cana-4961	92	13	driving	drive	VERB
cana-4961	92	14	circumstances	circumstance	NOUN
cana-4961	92	15	,	,	PUNCT
cana-4961	92	16	usage	usage	NOUN
cana-4961	92	17	patterns	pattern	NOUN
cana-4961	92	18	,	,	PUNCT
cana-4961	92	19	and	and	CCONJ
cana-4961	92	20	sensor	sensor	NOUN
cana-4961	92	21	data	datum	NOUN
cana-4961	92	22	to	to	PART
cana-4961	92	23	identify	identify	VERB
cana-4961	92	24	abnormalities	abnormality	NOUN
cana-4961	92	25	suggestive	suggestive	ADJ
cana-4961	92	26	of	of	ADP
cana-4961	92	27	impending	impending	ADJ
cana-4961	92	28	brake	brake	NOUN
cana-4961	92	29	failure	failure	NOUN
cana-4961	92	30	.	.	PUNCT
cana-4961	93	1	xgboost	xgboost	PROPN
cana-4961	93	2	achieved	achieve	VERB
cana-4961	93	3	great	great	ADJ
cana-4961	93	4	classification	classification	NOUN
cana-4961	93	5	precision	precision	NOUN
cana-4961	93	6	by	by	ADP
cana-4961	93	7	systematically	systematically	ADV
cana-4961	93	8	integrating	integrate	VERB
cana-4961	93	9	weak	weak	ADJ
cana-4961	93	10	learners	learner	NOUN
cana-4961	93	11	into	into	ADP
cana-4961	93	12	a	a	DET
cana-4961	93	13	robust	robust	ADJ
cana-4961	93	14	predictive	predictive	ADJ
cana-4961	93	15	model	model	NOUN
cana-4961	93	16	.	.	PUNCT
cana-4961	94	1	its	its	PRON
cana-4961	94	2	advantages	advantage	NOUN
cana-4961	94	3	encompassed	encompass	VERB
cana-4961	94	4	enhanced	enhanced	ADJ
cana-4961	94	5	accuracy	accuracy	NOUN
cana-4961	94	6	,	,	PUNCT
cana-4961	94	7	efficient	efficient	ADJ
cana-4961	94	8	computing	computing	NOUN
cana-4961	94	9	,	,	PUNCT
cana-4961	94	10	significant	significant	ADJ
cana-4961	94	11	feature	feature	NOUN
cana-4961	94	12	importance	importance	NOUN
cana-4961	94	13	insights	insight	NOUN
cana-4961	94	14	,	,	PUNCT
cana-4961	94	15	and	and	CCONJ
cana-4961	94	16	resilient	resilient	ADJ
cana-4961	94	17	management	management	NOUN
cana-4961	94	18	of	of	ADP
cana-4961	94	19	missing	miss	VERB
cana-4961	94	20	data	datum	NOUN
cana-4961	94	21	.	.	PUNCT
cana-4961	95	1	3.2.5	3.2.5	NUM
cana-4961	95	2	light	light	ADJ
cana-4961	95	3	gradient	gradient	NOUN
cana-4961	95	4	boosting	boost	VERB
cana-4961	95	5	machine	machine	NOUN
cana-4961	95	6	light	light	NOUN
cana-4961	95	7	gbm	gbm	NOUN
cana-4961	95	8	(	(	PUNCT
cana-4961	95	9	light	light	ADJ
cana-4961	95	10	gradient	gradient	ADJ
cana-4961	95	11	boosting	boost	VERB
cana-4961	95	12	machine	machine	NOUN
cana-4961	95	13	)	)	PUNCT
cana-4961	95	14	is	be	AUX
cana-4961	95	15	a	a	DET
cana-4961	95	16	rapid	rapid	ADJ
cana-4961	95	17	and	and	CCONJ
cana-4961	95	18	effective	effective	ADJ
cana-4961	95	19	gradient	gradient	ADJ
cana-4961	95	20	boosting	boost	VERB
cana-4961	95	21	technique	technique	NOUN
cana-4961	95	22	employed	employ	VERB
cana-4961	95	23	in	in	ADP
cana-4961	95	24	this	this	DET
cana-4961	95	25	study	study	NOUN
cana-4961	95	26	to	to	ADP
cana-4961	95	27	precisely	precisely	ADV
cana-4961	95	28	forecast	forecast	VERB
cana-4961	95	29	brake	brake	NOUN
cana-4961	95	30	failure	failure	NOUN
cana-4961	95	31	.	.	PUNCT
cana-4961	96	1	it	it	PRON
cana-4961	96	2	utilizes	utilize	VERB
cana-4961	96	3	a	a	DET
cana-4961	96	4	histogram	histogram	NOUN
cana-4961	96	5	-	-	PUNCT
cana-4961	96	6	based	base	VERB
cana-4961	96	7	learning	learning	NOUN
cana-4961	96	8	approach	approach	NOUN
cana-4961	96	9	and	and	CCONJ
cana-4961	96	10	leaf	leaf	NOUN
cana-4961	96	11	-	-	PUNCT
cana-4961	96	12	wise	wise	ADJ
cana-4961	96	13	tree	tree	NOUN
cana-4961	96	14	expansion	expansion	NOUN
cana-4961	96	15	to	to	PART
cana-4961	96	16	enhance	enhance	VERB
cana-4961	96	17	training	training	NOUN
cana-4961	96	18	efficiency	efficiency	NOUN
cana-4961	96	19	and	and	CCONJ
cana-4961	96	20	model	model	NOUN
cana-4961	96	21	efficacy	efficacy	NOUN
cana-4961	96	22	,	,	PUNCT
cana-4961	96	23	particularly	particularly	ADV
cana-4961	96	24	with	with	ADP
cana-4961	96	25	extensive	extensive	ADJ
cana-4961	96	26	datasets	dataset	NOUN
cana-4961	96	27	.	.	PUNCT
cana-4961	97	1	this	this	DET
cana-4961	97	2	study	study	NOUN
cana-4961	97	3	utilized	utilize	VERB
cana-4961	97	4	lightgbm	lightgbm	VERB
cana-4961	97	5	to	to	PART
cana-4961	97	6	examine	examine	VERB
cana-4961	97	7	critical	critical	ADJ
cana-4961	97	8	factors	factor	NOUN
cana-4961	97	9	including	include	VERB
cana-4961	97	10	maintenance	maintenance	NOUN
cana-4961	97	11	history	history	NOUN
cana-4961	97	12	,	,	PUNCT
cana-4961	97	13	operational	operational	ADJ
cana-4961	97	14	and	and	CCONJ
cana-4961	97	15	environmental	environmental	ADJ
cana-4961	97	16	conditions	condition	NOUN
cana-4961	97	17	,	,	PUNCT
cana-4961	97	18	and	and	CCONJ
cana-4961	97	19	sensor	sensor	NOUN
cana-4961	97	20	diagnostics	diagnostic	NOUN
cana-4961	97	21	to	to	PART
cana-4961	97	22	identify	identify	VERB
cana-4961	97	23	potential	potential	ADJ
cana-4961	97	24	brake	brake	NOUN
cana-4961	97	25	failures	failure	NOUN
cana-4961	97	26	.	.	PUNCT
cana-4961	98	1	its	its	PRON
cana-4961	98	2	capacity	capacity	NOUN
cana-4961	98	3	to	to	PART
cana-4961	98	4	discern	discern	VERB
cana-4961	98	5	intricate	intricate	ADJ
cana-4961	98	6	patterns	pattern	NOUN
cana-4961	98	7	with	with	ADP
cana-4961	98	8	minimal	minimal	ADJ
cana-4961	98	9	computational	computational	ADJ
cana-4961	98	10	expense	expense	NOUN
cana-4961	98	11	rendered	render	VERB
cana-4961	98	12	it	it	PRON
cana-4961	98	13	optimal	optimal	ADJ
cana-4961	98	14	for	for	ADP
cana-4961	98	15	real	real	ADJ
cana-4961	98	16	-	-	PUNCT
cana-4961	98	17	time	time	NOUN
cana-4961	98	18	predictive	predictive	ADJ
cana-4961	98	19	tasks	task	NOUN
cana-4961	98	20	.	.	PUNCT
cana-4961	99	1	benefits	benefit	NOUN
cana-4961	99	2	encompassed	encompass	VERB
cana-4961	99	3	elevated	elevated	ADJ
cana-4961	99	4	precision	precision	NOUN
cana-4961	99	5	,	,	PUNCT
cana-4961	99	6	rapid	rapid	ADJ
cana-4961	99	7	training	training	NOUN
cana-4961	99	8	velocity	velocity	NOUN
cana-4961	99	9	,	,	PUNCT
cana-4961	99	10	minimal	minimal	ADJ
cana-4961	99	11	memory	memory	NOUN
cana-4961	99	12	consumption	consumption	NOUN
cana-4961	99	13	,	,	PUNCT
cana-4961	99	14	proficient	proficient	ADJ
cana-4961	99	15	management	management	NOUN
cana-4961	99	16	of	of	ADP
cana-4961	99	17	imbalanced	imbalanced	ADJ
cana-4961	99	18	datasets	dataset	NOUN
cana-4961	99	19	,	,	PUNCT
cana-4961	99	20	and	and	CCONJ
cana-4961	99	21	automated	automate	VERB
cana-4961	99	22	treatment	treatment	NOUN
cana-4961	99	23	of	of	ADP
cana-4961	99	24	absent	absent	ADJ
cana-4961	99	25	values	value	NOUN
cana-4961	99	26	.	.	PUNCT
cana-4961	100	1	3.2.6	3.2.6	NUM
cana-4961	100	2	support	support	NOUN
cana-4961	100	3	vector	vector	NOUN
cana-4961	100	4	machine	machine	NOUN
cana-4961	100	5	:	:	PUNCT
cana-4961	100	6	the	the	DET
cana-4961	100	7	support	support	NOUN
cana-4961	100	8	vector	vector	NOUN
cana-4961	100	9	machine	machine	NOUN
cana-4961	100	10	(	(	PUNCT
cana-4961	100	11	svm	svm	PROPN
cana-4961	100	12	)	)	PUNCT
cana-4961	100	13	is	be	AUX
cana-4961	100	14	a	a	DET
cana-4961	100	15	resilient	resilient	ADJ
cana-4961	100	16	supervised	supervised	ADJ
cana-4961	100	17	learning	learn	VERB
cana-4961	100	18	algorithm	algorithm	NOUN
cana-4961	100	19	employed	employ	VERB
cana-4961	100	20	in	in	ADP
cana-4961	100	21	this	this	DET
cana-4961	100	22	study	study	NOUN
cana-4961	100	23	to	to	PART
cana-4961	100	24	determine	determine	VERB
cana-4961	100	25	the	the	DET
cana-4961	100	26	potential	potential	ADJ
cana-4961	100	27	failure	failure	NOUN
cana-4961	100	28	risk	risk	NOUN
cana-4961	100	29	of	of	ADP
cana-4961	100	30	a	a	DET
cana-4961	100	31	vehicle	vehicle	NOUN
cana-4961	100	32	's	's	PART
cana-4961	100	33	braking	brake	VERB
cana-4961	100	34	system	system	NOUN
cana-4961	100	35	.	.	PUNCT
cana-4961	101	1	it	it	PRON
cana-4961	101	2	functions	function	VERB
cana-4961	101	3	by	by	ADP
cana-4961	101	4	determining	determine	VERB
cana-4961	101	5	an	an	DET
cana-4961	101	6	appropriate	appropriate	ADJ
cana-4961	101	7	hyperplane	hyperplane	NOUN
cana-4961	101	8	that	that	PRON
cana-4961	101	9	segregates	segregate	VERB
cana-4961	101	10	data	datum	NOUN
cana-4961	101	11	into	into	ADP
cana-4961	101	12	discrete	discrete	ADJ
cana-4961	101	13	categories	category	NOUN
cana-4961	101	14	,	,	PUNCT
cana-4961	101	15	rendering	render	VERB
cana-4961	101	16	it	it	PRON
cana-4961	101	17	suitable	suitable	ADJ
cana-4961	101	18	for	for	ADP
cana-4961	101	19	binary	binary	ADJ
cana-4961	101	20	classification	classification	NOUN
cana-4961	101	21	applications	application	NOUN
cana-4961	101	22	such	such	ADJ
cana-4961	101	23	as	as	ADP
cana-4961	101	24	brake	brake	NOUN
cana-4961	101	25	failure	failure	NOUN
cana-4961	101	26	prediction	prediction	NOUN
cana-4961	101	27	.	.	PUNCT
cana-4961	102	1	this	this	DET
cana-4961	102	2	study	study	NOUN
cana-4961	102	3	utilized	utilize	VERB
cana-4961	102	4	svm	svm	PROPN
cana-4961	102	5	to	to	PART
cana-4961	102	6	examine	examine	VERB
cana-4961	102	7	brake	brake	NOUN
cana-4961	102	8	pad	pad	NOUN
cana-4961	102	9	wear	wear	NOUN
cana-4961	102	10	,	,	PUNCT
cana-4961	102	11	fluid	fluid	ADJ
cana-4961	102	12	levels	level	NOUN
cana-4961	102	13	,	,	PUNCT
cana-4961	102	14	vehicle	vehicle	NOUN
cana-4961	102	15	usage	usage	NOUN
cana-4961	102	16	patterns	pattern	NOUN
cana-4961	102	17	,	,	PUNCT
cana-4961	102	18	maintenance	maintenance	NOUN
cana-4961	102	19	records	record	NOUN
cana-4961	102	20	,	,	PUNCT
cana-4961	102	21	and	and	CCONJ
cana-4961	102	22	operational	operational	ADJ
cana-4961	102	23	variables	variable	NOUN
cana-4961	102	24	,	,	PUNCT
cana-4961	102	25	including	include	VERB
cana-4961	102	26	speed	speed	NOUN
cana-4961	102	27	and	and	CCONJ
cana-4961	102	28	temperature	temperature	NOUN
cana-4961	102	29	fluctuations	fluctuation	NOUN
cana-4961	102	30	.	.	PUNCT
cana-4961	103	1	by	by	ADP
cana-4961	103	2	projecting	project	VERB
cana-4961	103	3	data	datum	NOUN
cana-4961	103	4	into	into	ADP
cana-4961	103	5	higher	high	ADJ
cana-4961	103	6	-	-	PUNCT
cana-4961	103	7	dimensional	dimensional	ADJ
cana-4961	103	8	domains	domain	NOUN
cana-4961	103	9	,	,	PUNCT
cana-4961	103	10	svm	svm	VERB
cana-4961	103	11	adeptly	adeptly	ADV
cana-4961	103	12	identifies	identify	VERB
cana-4961	103	13	intricate	intricate	ADJ
cana-4961	103	14	patterns	pattern	NOUN
cana-4961	103	15	that	that	PRON
cana-4961	103	16	linear	linear	NOUN
cana-4961	103	17	models	model	NOUN
cana-4961	103	18	frequently	frequently	ADV
cana-4961	103	19	overlook	overlook	VERB
cana-4961	103	20	.	.	PUNCT
cana-4961	104	1	the	the	DET
cana-4961	104	2	primary	primary	ADJ
cana-4961	104	3	advantages	advantage	NOUN
cana-4961	104	4	encompassed	encompass	VERB
cana-4961	104	5	elevated	elevated	ADJ
cana-4961	104	6	classification	classification	NOUN
cana-4961	104	7	accuracy	accuracy	NOUN
cana-4961	104	8	,	,	PUNCT
cana-4961	104	9	resilience	resilience	NOUN
cana-4961	104	10	to	to	ADP
cana-4961	104	11	overfitting	overfitte	VERB
cana-4961	104	12	,	,	PUNCT
cana-4961	104	13	and	and	CCONJ
cana-4961	104	14	the	the	DET
cana-4961	104	15	capacity	capacity	NOUN
cana-4961	104	16	to	to	PART
cana-4961	104	17	model	model	VERB
cana-4961	104	18	non	non	ADJ
cana-4961	104	19	-	-	ADJ
cana-4961	104	20	linear	linear	ADJ
cana-4961	104	21	interactions	interaction	NOUN
cana-4961	104	22	with	with	ADP
cana-4961	104	23	kernels	kernel	NOUN
cana-4961	104	24	such	such	ADJ
cana-4961	104	25	as	as	ADP
cana-4961	104	26	the	the	DET
cana-4961	104	27	radial	radial	ADJ
cana-4961	104	28	basis	basis	NOUN
cana-4961	104	29	function	function	NOUN
cana-4961	104	30	(	(	PUNCT
cana-4961	104	31	rbf	rbf	PROPN
cana-4961	104	32	)	)	PUNCT
cana-4961	104	33	.	.	PUNCT
cana-4961	105	1	3.3	3.3	NUM
cana-4961	105	2	web	web	NOUN
cana-4961	105	3	development	development	NOUN
cana-4961	105	4	this	this	DET
cana-4961	105	5	project	project	NOUN
cana-4961	105	6	utilizes	utilize	VERB
cana-4961	105	7	a	a	DET
cana-4961	105	8	web	web	NOUN
cana-4961	105	9	-	-	PUNCT
cana-4961	105	10	based	base	VERB
cana-4961	105	11	interface	interface	NOUN
cana-4961	105	12	for	for	ADP
cana-4961	105	13	user	user	NOUN
cana-4961	105	14	interaction	interaction	NOUN
cana-4961	105	15	,	,	PUNCT
cana-4961	105	16	with	with	ADP
cana-4961	105	17	html	html	NOUN
cana-4961	105	18	and	and	CCONJ
cana-4961	105	19	css	css	PROPN
cana-4961	105	20	handling	handle	VERB
cana-4961	105	21	the	the	DET
cana-4961	105	22	frontend	frontend	NOUN
cana-4961	105	23	design	design	NOUN
cana-4961	105	24	and	and	CCONJ
cana-4961	105	25	flask	flask	NOUN
cana-4961	105	26	serving	serve	VERB
cana-4961	105	27	as	as	ADP
cana-4961	105	28	the	the	DET
cana-4961	105	29	backend	backend	NOUN
cana-4961	105	30	framework	framework	NOUN
cana-4961	105	31	for	for	ADP
cana-4961	105	32	seamless	seamless	ADJ
cana-4961	105	33	integration	integration	NOUN
cana-4961	105	34	.	.	PUNCT
cana-4961	106	1	frontend	frontend	NOUN
cana-4961	106	2	(	(	PUNCT
cana-4961	106	3	user	user	NOUN
cana-4961	106	4	interface	interface	NOUN
cana-4961	106	5	)	)	PUNCT
cana-4961	106	6	●	●	NUM
cana-4961	106	7	html	html	NOUN
cana-4961	106	8	(	(	PUNCT
cana-4961	106	9	hypertext	hypertext	NOUN
cana-4961	106	10	markup	markup	NOUN
cana-4961	106	11	language	language	NOUN
cana-4961	106	12	):	):	PUNCT
cana-4961	106	13	defines	define	VERB
cana-4961	106	14	the	the	DET
cana-4961	106	15	structure	structure	NOUN
cana-4961	106	16	of	of	ADP
cana-4961	106	17	the	the	DET
cana-4961	106	18	web	web	NOUN
cana-4961	106	19	application	application	NOUN
cana-4961	106	20	,	,	PUNCT
cana-4961	106	21	including	include	VERB
cana-4961	106	22	form	form	NOUN
cana-4961	106	23	elements	element	NOUN
cana-4961	106	24	for	for	ADP
cana-4961	106	25	user	user	NOUN
cana-4961	106	26	input	input	NOUN
cana-4961	106	27	.	.	PUNCT
cana-4961	107	1	●	●	PUNCT
cana-4961	107	2	css	css	X
cana-4961	107	3	(	(	PUNCT
cana-4961	107	4	cascading	cascade	VERB
cana-4961	107	5	style	style	NOUN
cana-4961	107	6	sheets	sheet	NOUN
cana-4961	107	7	):	):	PUNCT
cana-4961	107	8	enhances	enhance	VERB
cana-4961	107	9	the	the	DET
cana-4961	107	10	visual	visual	ADJ
cana-4961	107	11	appeal	appeal	NOUN
cana-4961	107	12	with	with	ADP
cana-4961	107	13	styling	styling	NOUN
cana-4961	107	14	elements	element	NOUN
cana-4961	107	15	such	such	ADJ
cana-4961	107	16	as	as	ADP
cana-4961	107	17	responsive	responsive	ADJ
cana-4961	107	18	layouts	layout	NOUN
cana-4961	107	19	,	,	PUNCT
cana-4961	107	20	colors	color	NOUN
cana-4961	107	21	,	,	PUNCT
cana-4961	107	22	and	and	CCONJ
cana-4961	107	23	animations	animation	NOUN
cana-4961	107	24	.	.	PUNCT
cana-4961	108	1	communications	communication	NOUN
cana-4961	108	2	on	on	ADP
cana-4961	108	3	applied	apply	VERB
cana-4961	108	4	nonlinear	nonlinear	ADJ
cana-4961	108	5	analysis	analysis	NOUN
cana-4961	108	6	issn	issn	NOUN
cana-4961	108	7	:	:	PUNCT
cana-4961	108	8	1074	1074	NUM
cana-4961	108	9	-	-	PUNCT
cana-4961	108	10	133x	133x	NUM
cana-4961	108	11	vol	vol	VERB
cana-4961	108	12	32	32	NUM
cana-4961	108	13	no	no	NOUN
cana-4961	108	14	.	.	PUNCT
cana-4961	109	1	10s	10	NOUN
cana-4961	109	2	(	(	PUNCT
cana-4961	109	3	2025	2025	NUM
cana-4961	109	4	)	)	PUNCT
cana-4961	109	5	1089	1089	NUM
cana-4961	109	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	110	1	the	the	DET
cana-4961	110	2	frontend	frontend	NOUN
cana-4961	110	3	provides	provide	VERB
cana-4961	110	4	a	a	DET
cana-4961	110	5	user	user	NOUN
cana-4961	110	6	-	-	PUNCT
cana-4961	110	7	friendly	friendly	ADJ
cana-4961	110	8	dashboard	dashboard	NOUN
cana-4961	110	9	where	where	SCONJ
cana-4961	110	10	users	user	NOUN
cana-4961	110	11	can	can	AUX
cana-4961	110	12	input	input	VERB
cana-4961	110	13	vehicle	vehicle	NOUN
cana-4961	110	14	data	datum	NOUN
cana-4961	110	15	,	,	PUNCT
cana-4961	110	16	view	view	NOUN
cana-4961	110	17	model	model	NOUN
cana-4961	110	18	predictions	prediction	NOUN
cana-4961	110	19	,	,	PUNCT
cana-4961	110	20	and	and	CCONJ
cana-4961	110	21	analyze	analyze	VERB
cana-4961	110	22	system	system	NOUN
cana-4961	110	23	outputs	output	NOUN
cana-4961	110	24	.	.	PUNCT
cana-4961	111	1	backend	backend	NOUN
cana-4961	111	2	(	(	PUNCT
cana-4961	111	3	flask	flask	NOUN
cana-4961	111	4	integration	integration	NOUN
cana-4961	111	5	)	)	PUNCT
cana-4961	111	6	●	●	NUM
cana-4961	111	7	flask	flask	NOUN
cana-4961	111	8	(	(	PUNCT
cana-4961	111	9	python	python	NOUN
cana-4961	111	10	web	web	NOUN
cana-4961	111	11	framework	framework	NOUN
cana-4961	111	12	):	):	PUNCT
cana-4961	111	13	manages	manage	VERB
cana-4961	111	14	data	data	NOUN
cana-4961	111	15	flow	flow	NOUN
cana-4961	111	16	between	between	ADP
cana-4961	111	17	the	the	DET
cana-4961	111	18	frontend	frontend	NOUN
cana-4961	111	19	and	and	CCONJ
cana-4961	111	20	machine	machine	NOUN
cana-4961	111	21	learning	learning	NOUN
cana-4961	111	22	models	model	NOUN
cana-4961	111	23	.	.	PUNCT
cana-4961	112	1	●	●	PUNCT
cana-4961	112	2	api	api	NOUN
cana-4961	112	3	endpoints	endpoint	NOUN
cana-4961	112	4	:	:	PUNCT
cana-4961	112	5	flask	flask	NOUN
cana-4961	112	6	processes	process	VERB
cana-4961	112	7	user	user	NOUN
cana-4961	112	8	inputs	input	NOUN
cana-4961	112	9	,	,	PUNCT
cana-4961	112	10	sends	send	VERB
cana-4961	112	11	data	datum	NOUN
cana-4961	112	12	to	to	ADP
cana-4961	112	13	the	the	DET
cana-4961	112	14	trained	train	VERB
cana-4961	112	15	ml	ml	NOUN
cana-4961	112	16	models	model	NOUN
cana-4961	112	17	,	,	PUNCT
cana-4961	112	18	and	and	CCONJ
cana-4961	112	19	returns	return	VERB
cana-4961	112	20	predictions	prediction	NOUN
cana-4961	112	21	.	.	PUNCT
cana-4961	113	1	●	●	NUM
cana-4961	113	2	model	model	NOUN
cana-4961	113	3	deployment	deployment	NOUN
cana-4961	113	4	:	:	PUNCT
cana-4961	113	5	the	the	DET
cana-4961	113	6	trained	train	VERB
cana-4961	113	7	models	model	NOUN
cana-4961	113	8	for	for	ADP
cana-4961	113	9	brake	brake	NOUN
cana-4961	113	10	failure	failure	NOUN
cana-4961	113	11	prediction	prediction	NOUN
cana-4961	113	12	are	be	AUX
cana-4961	113	13	integrated	integrate	VERB
cana-4961	113	14	into	into	ADP
cana-4961	113	15	flask	flask	NOUN
cana-4961	113	16	,	,	PUNCT
cana-4961	113	17	allowing	allow	VERB
cana-4961	113	18	real	real	ADJ
cana-4961	113	19	-	-	PUNCT
cana-4961	113	20	time	time	NOUN
cana-4961	113	21	analysis	analysis	NOUN
cana-4961	113	22	and	and	CCONJ
cana-4961	113	23	decision	decision	NOUN
cana-4961	113	24	-	-	PUNCT
cana-4961	113	25	making	making	NOUN
cana-4961	113	26	.	.	PUNCT
cana-4961	114	1	4	4	X
cana-4961	114	2	.	.	NOUN
cana-4961	114	3	result	result	NOUN
cana-4961	114	4	and	and	CCONJ
cana-4961	114	5	analysis	analysis	NOUN
cana-4961	114	6	the	the	DET
cana-4961	114	7	implemented	implement	VERB
cana-4961	114	8	model	model	NOUN
cana-4961	114	9	based	base	VERB
cana-4961	114	10	on	on	ADP
cana-4961	114	11	the	the	DET
cana-4961	114	12	user	user	NOUN
cana-4961	114	13	inputs	input	NOUN
cana-4961	114	14	.	.	PUNCT
cana-4961	115	1	4.1	4.1	NUM
cana-4961	115	2	sample	sample	NOUN
cana-4961	115	3	result	result	NOUN
cana-4961	115	4	table	table	NOUN
cana-4961	115	5	3	3	NUM
cana-4961	115	6	:	:	PUNCT
cana-4961	115	7	sample	sample	NOUN
cana-4961	115	8	result	result	NOUN
cana-4961	115	9	model	model	NOUN
cana-4961	115	10	prediction	prediction	NOUN
cana-4961	115	11	probability(yes	probability(ye	NOUN
cana-4961	115	12	)	)	PUNCT
cana-4961	115	13	probability(no	probability(no	ADJ
cana-4961	115	14	)	)	PUNCT
cana-4961	115	15	logisitic	logisitic	ADJ
cana-4961	115	16	regression	regression	NOUN
cana-4961	115	17	yes	yes	INTJ
cana-4961	115	18	51.36	51.36	NUM
cana-4961	115	19	%	%	NOUN
cana-4961	115	20	48.64	48.64	NUM
cana-4961	115	21	%	%	NOUN
cana-4961	115	22	decision	decision	NOUN
cana-4961	115	23	tree	tree	NOUN
cana-4961	116	1	no	no	DET
cana-4961	116	2	0.0	0.0	NUM
cana-4961	116	3	%	%	NOUN
cana-4961	116	4	100.0	100.0	NUM
cana-4961	116	5	%	%	NOUN
cana-4961	116	6	random	random	ADJ
cana-4961	116	7	forest	forest	NOUN
cana-4961	117	1	yes	yes	NOUN
cana-4961	117	2	69.63	69.63	NUM
cana-4961	117	3	%	%	NOUN
cana-4961	117	4	30.37	30.37	NUM
cana-4961	117	5	%	%	NOUN
cana-4961	117	6	xgboost	xgboost	ADP
cana-4961	118	1	no	no	DET
cana-4961	118	2	48.54	48.54	NUM
cana-4961	118	3	%	%	NOUN
cana-4961	118	4	51.46	51.46	NUM
cana-4961	118	5	%	%	NOUN
cana-4961	118	6	lgbm	lgbm	ADJ
cana-4961	118	7	yes	yes	INTJ
cana-4961	118	8	57.68	57.68	NUM
cana-4961	118	9	%	%	NOUN
cana-4961	118	10	42.32	42.32	NUM
cana-4961	118	11	%	%	NOUN
cana-4961	118	12	svm	svm	NOUN
cana-4961	118	13	yes	yes	INTJ
cana-4961	118	14	59.8	59.8	NUM
cana-4961	118	15	%	%	NOUN
cana-4961	118	16	40.2	40.2	NUM
cana-4961	118	17	%	%	NOUN
cana-4961	118	18	4.2	4.2	NUM
cana-4961	118	19	feature	feature	NOUN
cana-4961	118	20	importance	importance	NOUN
cana-4961	118	21	feature	feature	NOUN
cana-4961	118	22	importance	importance	NOUN
cana-4961	118	23	analysis	analysis	NOUN
cana-4961	118	24	elucidates	elucidate	VERB
cana-4961	118	25	the	the	DET
cana-4961	118	26	impact	impact	NOUN
cana-4961	118	27	of	of	ADP
cana-4961	118	28	various	various	ADJ
cana-4961	118	29	variables	variable	NOUN
cana-4961	118	30	on	on	ADP
cana-4961	118	31	the	the	DET
cana-4961	118	32	prediction	prediction	NOUN
cana-4961	118	33	efficacy	efficacy	NOUN
cana-4961	118	34	of	of	ADP
cana-4961	118	35	machine	machine	NOUN
cana-4961	118	36	learning	learning	NOUN
cana-4961	118	37	models	model	NOUN
cana-4961	118	38	.	.	PUNCT
cana-4961	119	1	this	this	DET
cana-4961	119	2	experiment	experiment	NOUN
cana-4961	119	3	employed	employ	VERB
cana-4961	119	4	random	random	ADJ
cana-4961	119	5	forest	forest	NOUN
cana-4961	119	6	,	,	PUNCT
cana-4961	119	7	xgboost	xgboost	ADV
cana-4961	119	8	,	,	PUNCT
cana-4961	119	9	and	and	CCONJ
cana-4961	119	10	lgbm	lgbm	ADJ
cana-4961	119	11	to	to	PART
cana-4961	119	12	assess	assess	VERB
cana-4961	119	13	the	the	DET
cana-4961	119	14	importance	importance	NOUN
cana-4961	119	15	of	of	ADP
cana-4961	119	16	various	various	ADJ
cana-4961	119	17	factors	factor	NOUN
cana-4961	119	18	influencing	influence	VERB
cana-4961	119	19	brake	brake	NOUN
cana-4961	119	20	failure	failure	NOUN
cana-4961	119	21	prediction	prediction	NOUN
cana-4961	119	22	.	.	PUNCT
cana-4961	120	1	4.2.1	4.2.1	NUM
cana-4961	120	2	random	random	ADJ
cana-4961	120	3	forest	forest	NOUN
cana-4961	120	4	feature	feature	NOUN
cana-4961	120	5	importance	importance	NOUN
cana-4961	120	6	year	year	NOUN
cana-4961	120	7	of	of	ADP
cana-4961	120	8	manufacture	manufacture	NOUN
cana-4961	120	9	0.148	0.148	NUM
cana-4961	120	10	mileage	mileage	NOUN
cana-4961	120	11	(	(	PUNCT
cana-4961	120	12	km	km	NOUN
cana-4961	120	13	)	)	PUNCT
cana-4961	120	14	0.1919	0.1919	NUM
cana-4961	120	15	brake	brake	NOUN
cana-4961	120	16	pad	pad	NOUN
cana-4961	120	17	thickness	thickness	NOUN
cana-4961	120	18	(	(	PUNCT
cana-4961	120	19	mm	mm	NOUN
cana-4961	120	20	)	)	PUNCT
cana-4961	120	21	0.1947	0.1947	NUM
cana-4961	120	22	maintenance	maintenance	NOUN
cana-4961	120	23	type	type	NOUN
cana-4961	120	24	0.0676	0.0676	NUM
cana-4961	120	25	brake	brake	NOUN
cana-4961	120	26	fluid	fluid	NOUN
cana-4961	120	27	level	level	NOUN
cana-4961	120	28	(	(	PUNCT
cana-4961	120	29	%	%	NOUN
cana-4961	120	30	)	)	PUNCT
cana-4961	120	31	0.2019	0.2019	NUM
cana-4961	120	32	brake	brake	NOUN
cana-4961	120	33	temperature	temperature	NOUN
cana-4961	120	34	(	(	PUNCT
cana-4961	120	35	°	°	ADP
cana-4961	120	36	c	c	NOUN
cana-4961	120	37	)	)	PUNCT
cana-4961	120	38	0.1959	0.1959	NUM
cana-4961	120	39	communications	communication	NOUN
cana-4961	120	40	on	on	ADP
cana-4961	120	41	applied	apply	VERB
cana-4961	120	42	nonlinear	nonlinear	ADJ
cana-4961	120	43	analysis	analysis	NOUN
cana-4961	120	44	issn	issn	NOUN
cana-4961	120	45	:	:	PUNCT
cana-4961	120	46	1074	1074	NUM
cana-4961	120	47	-	-	PUNCT
cana-4961	120	48	133x	133x	NUM
cana-4961	120	49	vol	vol	VERB
cana-4961	120	50	32	32	NUM
cana-4961	120	51	no	no	NOUN
cana-4961	120	52	.	.	PUNCT
cana-4961	121	1	10s	10	NOUN
cana-4961	121	2	(	(	PUNCT
cana-4961	121	3	2025	2025	NUM
cana-4961	121	4	)	)	PUNCT
cana-4961	121	5	1090	1090	NUM
cana-4961	121	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	121	7	4.2.2	4.2.2	NUM
cana-4961	121	8	xgboost	xgboost	ADP
cana-4961	121	9	feature	feature	NOUN
cana-4961	121	10	importance	importance	NOUN
cana-4961	121	11	year	year	NOUN
cana-4961	121	12	of	of	ADP
cana-4961	121	13	manufacture	manufacture	NOUN
cana-4961	121	14	0.1699	0.1699	NUM
cana-4961	121	15	mileage	mileage	NOUN
cana-4961	121	16	(	(	PUNCT
cana-4961	121	17	km	km	NOUN
cana-4961	121	18	)	)	PUNCT
cana-4961	121	19	0.1493	0.1493	NUM
cana-4961	121	20	brake	brake	NOUN
cana-4961	121	21	pad	pad	NOUN
cana-4961	121	22	thickness	thickness	NOUN
cana-4961	121	23	(	(	PUNCT
cana-4961	121	24	mm	mm	NOUN
cana-4961	121	25	)	)	PUNCT
cana-4961	121	26	0.1515	0.1515	NUM
cana-4961	121	27	maintenance	maintenance	NOUN
cana-4961	121	28	type	type	NOUN
cana-4961	121	29	0.1735	0.1735	NUM
cana-4961	121	30	brake	brake	NOUN
cana-4961	121	31	fluid	fluid	ADJ
cana-4961	121	32	level	level	NOUN
cana-4961	121	33	(	(	PUNCT
cana-4961	121	34	%	%	INTJ
cana-4961	121	35	)	)	PUNCT
cana-4961	121	36	0.1801	0.1801	NUM
cana-4961	121	37	brake	brake	NOUN
cana-4961	121	38	temperature	temperature	NOUN
cana-4961	121	39	(	(	PUNCT
cana-4961	121	40	°	°	ADP
cana-4961	121	41	c	c	NOUN
cana-4961	121	42	)	)	PUNCT
cana-4961	121	43	0.1758	0.1758	NUM
cana-4961	121	44	4.2.3	4.2.3	NUM
cana-4961	121	45	lgbm	lgbm	ADJ
cana-4961	121	46	feature	feature	NOUN
cana-4961	121	47	importance	importance	NOUN
cana-4961	121	48	year	year	NOUN
cana-4961	121	49	of	of	ADP
cana-4961	121	50	manufacture	manufacture	NOUN
cana-4961	121	51	128	128	NUM
cana-4961	121	52	mileage	mileage	NOUN
cana-4961	121	53	(	(	PUNCT
cana-4961	121	54	km	km	NOUN
cana-4961	121	55	)	)	PUNCT
cana-4961	121	56	130	130	NUM
cana-4961	121	57	brake	brake	NOUN
cana-4961	121	58	pad	pad	NOUN
cana-4961	121	59	thickness	thickness	NOUN
cana-4961	121	60	(	(	PUNCT
cana-4961	121	61	mm	mm	NOUN
cana-4961	121	62	)	)	PUNCT
cana-4961	121	63	181	181	NUM
cana-4961	121	64	maintenance	maintenance	NOUN
cana-4961	121	65	type	type	NOUN
cana-4961	121	66	48	48	NUM
cana-4961	121	67	brake	brake	NOUN
cana-4961	121	68	fluid	fluid	ADJ
cana-4961	121	69	level	level	NOUN
cana-4961	121	70	(	(	PUNCT
cana-4961	121	71	%	%	NOUN
cana-4961	121	72	)	)	PUNCT
cana-4961	121	73	199	199	NUM
cana-4961	121	74	brake	brake	NOUN
cana-4961	121	75	temperature	temperature	NOUN
cana-4961	121	76	(	(	PUNCT
cana-4961	121	77	°	°	ADP
cana-4961	121	78	c	c	NOUN
cana-4961	121	79	)	)	PUNCT
cana-4961	121	80	202	202	NUM
cana-4961	121	81	4.3	4.3	NUM
cana-4961	121	82	auc	auc	NOUN
cana-4961	121	83	–	–	PUNCT
cana-4961	121	84	roc	roc	PROPN
cana-4961	121	85	curve	curve	VERB
cana-4961	121	86	the	the	DET
cana-4961	121	87	auc	auc	NOUN
cana-4961	121	88	-	-	PUNCT
cana-4961	121	89	roc	roc	NOUN
cana-4961	121	90	curve	curve	NOUN
cana-4961	121	91	,	,	PUNCT
cana-4961	121	92	which	which	PRON
cana-4961	121	93	is	be	AUX
cana-4961	121	94	essential	essential	ADJ
cana-4961	121	95	in	in	ADP
cana-4961	121	96	any	any	DET
cana-4961	121	97	performance	performance	NOUN
cana-4961	121	98	study	study	NOUN
cana-4961	121	99	,	,	PUNCT
cana-4961	121	100	displays	display	VERB
cana-4961	121	101	the	the	DET
cana-4961	121	102	relationship	relationship	NOUN
cana-4961	121	103	between	between	ADP
cana-4961	121	104	the	the	DET
cana-4961	121	105	true	true	ADJ
cana-4961	121	106	positive	positive	ADJ
cana-4961	121	107	rate	rate	NOUN
cana-4961	121	108	(	(	PUNCT
cana-4961	121	109	tpr	tpr	NOUN
cana-4961	121	110	)	)	PUNCT
cana-4961	121	111	and	and	CCONJ
cana-4961	121	112	the	the	DET
cana-4961	121	113	false	false	ADJ
cana-4961	121	114	positive	positive	ADJ
cana-4961	121	115	rate	rate	NOUN
cana-4961	121	116	(	(	PUNCT
cana-4961	121	117	fpr	fpr	NOUN
cana-4961	121	118	)	)	PUNCT
cana-4961	121	119	at	at	ADP
cana-4961	121	120	different	different	ADJ
cana-4961	121	121	levels	level	NOUN
cana-4961	121	122	.	.	PUNCT
cana-4961	122	1	this	this	DET
cana-4961	122	2	study	study	NOUN
cana-4961	122	3	compares	compare	VERB
cana-4961	122	4	six	six	NUM
cana-4961	122	5	classification	classification	NOUN
cana-4961	122	6	models	model	NOUN
cana-4961	122	7	using	use	VERB
cana-4961	122	8	the	the	DET
cana-4961	122	9	roc	roc	PROPN
cana-4961	122	10	curve	curve	NOUN
cana-4961	122	11	:	:	PUNCT
cana-4961	122	12	decision	decision	NOUN
cana-4961	122	13	tree	tree	NOUN
cana-4961	122	14	,	,	PUNCT
cana-4961	122	15	logistic	logistic	ADJ
cana-4961	122	16	regression	regression	NOUN
cana-4961	122	17	,	,	PUNCT
cana-4961	122	18	random	random	ADJ
cana-4961	122	19	forest	forest	NOUN
cana-4961	122	20	,	,	PUNCT
cana-4961	122	21	xgboost	xgboost	ADV
cana-4961	122	22	,	,	PUNCT
cana-4961	122	23	lightgbm	lightgbm	X
cana-4961	122	24	(	(	PUNCT
cana-4961	122	25	lgbm	lgbm	ADJ
cana-4961	122	26	)	)	PUNCT
cana-4961	122	27	,	,	PUNCT
cana-4961	122	28	and	and	CCONJ
cana-4961	122	29	support	support	VERB
cana-4961	122	30	vector	vector	NOUN
cana-4961	122	31	machine	machine	NOUN
cana-4961	122	32	.	.	PUNCT
cana-4961	123	1	the	the	DET
cana-4961	123	2	perfect	perfect	ADJ
cana-4961	123	3	classification	classification	NOUN
cana-4961	123	4	achieved	achieve	VERB
cana-4961	123	5	by	by	ADP
cana-4961	123	6	random	random	ADJ
cana-4961	123	7	forest	forest	NOUN
cana-4961	123	8	and	and	CCONJ
cana-4961	123	9	lgbm	lgbm	ADJ
cana-4961	123	10	with	with	ADP
cana-4961	123	11	an	an	DET
cana-4961	123	12	auc	auc	NOUN
cana-4961	123	13	of	of	ADP
cana-4961	123	14	1.00	1.00	NUM
cana-4961	123	15	indicates	indicate	VERB
cana-4961	123	16	remarkable	remarkable	ADJ
cana-4961	123	17	discriminative	discriminative	NOUN
cana-4961	123	18	capabilities	capability	NOUN
cana-4961	123	19	.	.	PUNCT
cana-4961	124	1	with	with	ADP
cana-4961	124	2	an	an	DET
cana-4961	124	3	auc	auc	NOUN
cana-4961	124	4	of	of	ADP
cana-4961	124	5	0.97	0.97	NUM
cana-4961	124	6	,	,	PUNCT
cana-4961	124	7	the	the	DET
cana-4961	124	8	decision	decision	NOUN
cana-4961	124	9	tree	tree	NOUN
cana-4961	124	10	and	and	CCONJ
cana-4961	124	11	xgboost	xgboost	PROPN
cana-4961	124	12	outperformed	outperform	VERB
cana-4961	124	13	the	the	DET
cana-4961	124	14	svm	svm	PROPN
cana-4961	124	15	,	,	PUNCT
cana-4961	124	16	which	which	PRON
cana-4961	124	17	only	only	ADV
cana-4961	124	18	managed	manage	VERB
cana-4961	124	19	0.92	0.92	NUM
cana-4961	124	20	.	.	PUNCT
cana-4961	125	1	the	the	DET
cana-4961	125	2	worst	bad	ADJ
cana-4961	125	3	performer	performer	NOUN
cana-4961	125	4	was	be	AUX
cana-4961	125	5	logistic	logistic	ADJ
cana-4961	125	6	regression	regression	NOUN
cana-4961	125	7	,	,	PUNCT
cana-4961	125	8	which	which	PRON
cana-4961	125	9	managed	manage	VERB
cana-4961	125	10	an	an	DET
cana-4961	125	11	auc	auc	NOUN
cana-4961	125	12	of	of	ADP
cana-4961	125	13	0.55	0.55	NUM
cana-4961	125	14	—	—	PUNCT
cana-4961	125	15	just	just	ADV
cana-4961	125	16	slightly	slightly	ADV
cana-4961	125	17	better	well	ADJ
cana-4961	125	18	than	than	ADP
cana-4961	125	19	a	a	DET
cana-4961	125	20	no	no	DET
cana-4961	125	21	-	-	PUNCT
cana-4961	125	22	skill	skill	NOUN
cana-4961	125	23	classifier	classifier	NOUN
cana-4961	125	24	(	(	PUNCT
cana-4961	125	25	auc	auc	NOUN
cana-4961	125	26	=	=	SYM
cana-4961	125	27	0.50	0.50	NUM
cana-4961	125	28	)	)	PUNCT
cana-4961	125	29	.	.	PUNCT
cana-4961	126	1	the	the	DET
cana-4961	126	2	effectiveness	effectiveness	NOUN
cana-4961	126	3	of	of	ADP
cana-4961	126	4	ensemble	ensemble	ADJ
cana-4961	126	5	techniques	technique	NOUN
cana-4961	126	6	was	be	AUX
cana-4961	126	7	demonstrated	demonstrate	VERB
cana-4961	126	8	by	by	ADP
cana-4961	126	9	models	model	NOUN
cana-4961	126	10	with	with	ADP
cana-4961	126	11	curves	curve	NOUN
cana-4961	126	12	closer	close	ADV
cana-4961	126	13	to	to	ADP
cana-4961	126	14	the	the	DET
cana-4961	126	15	top	top	ADV
cana-4961	126	16	-	-	PUNCT
cana-4961	126	17	left	left	ADJ
cana-4961	126	18	corner	corner	NOUN
cana-4961	126	19	,	,	PUNCT
cana-4961	126	20	which	which	PRON
cana-4961	126	21	showed	show	VERB
cana-4961	126	22	improved	improved	ADJ
cana-4961	126	23	prediction	prediction	NOUN
cana-4961	126	24	accuracy	accuracy	NOUN
cana-4961	126	25	when	when	SCONJ
cana-4961	126	26	compared	compare	VERB
cana-4961	126	27	to	to	ADP
cana-4961	126	28	simpler	simple	ADJ
cana-4961	126	29	classifiers	classifier	NOUN
cana-4961	126	30	.	.	PUNCT
cana-4961	127	1	auc	auc	NOUN
cana-4961	127	2	-	-	PUNCT
cana-4961	127	3	roc	roc	NOUN
cana-4961	127	4	curve	curve	NOUN
cana-4961	127	5	for	for	ADP
cana-4961	127	6	ml	ml	NOUN
cana-4961	127	7	models	model	NOUN
cana-4961	127	8	communications	communication	NOUN
cana-4961	127	9	on	on	ADP
cana-4961	127	10	applied	apply	VERB
cana-4961	127	11	nonlinear	nonlinear	ADJ
cana-4961	127	12	analysis	analysis	NOUN
cana-4961	127	13	issn	issn	NOUN
cana-4961	127	14	:	:	PUNCT
cana-4961	127	15	1074	1074	NUM
cana-4961	127	16	-	-	PUNCT
cana-4961	127	17	133x	133x	NUM
cana-4961	127	18	vol	vol	VERB
cana-4961	127	19	32	32	NUM
cana-4961	127	20	no	no	NOUN
cana-4961	127	21	.	.	PUNCT
cana-4961	128	1	10s	10	NOUN
cana-4961	128	2	(	(	PUNCT
cana-4961	128	3	2025	2025	NUM
cana-4961	128	4	)	)	PUNCT
cana-4961	128	5	1091	1091	NUM
cana-4961	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	128	7	4.4	4.4	NUM
cana-4961	128	8	confusion	confusion	NOUN
cana-4961	128	9	matrix	matrix	NOUN
cana-4961	128	10	:	:	PUNCT
cana-4961	128	11	to	to	PART
cana-4961	128	12	evaluate	evaluate	VERB
cana-4961	128	13	the	the	DET
cana-4961	128	14	performance	performance	NOUN
cana-4961	128	15	of	of	ADP
cana-4961	128	16	classification	classification	NOUN
cana-4961	128	17	models	model	NOUN
cana-4961	128	18	,	,	PUNCT
cana-4961	128	19	it	it	PRON
cana-4961	128	20	is	be	AUX
cana-4961	128	21	necessary	necessary	ADJ
cana-4961	128	22	to	to	PART
cana-4961	128	23	compare	compare	VERB
cana-4961	128	24	the	the	DET
cana-4961	128	25	predicted	predict	VERB
cana-4961	128	26	and	and	CCONJ
cana-4961	128	27	observed	observe	VERB
cana-4961	128	28	outcomes	outcome	NOUN
cana-4961	128	29	using	use	VERB
cana-4961	128	30	a	a	DET
cana-4961	128	31	confusion	confusion	NOUN
cana-4961	128	32	matrix	matrix	NOUN
cana-4961	128	33	.	.	PUNCT
cana-4961	129	1	it	it	PRON
cana-4961	129	2	includes	include	VERB
cana-4961	129	3	tps	tps	NOUN
cana-4961	129	4	,	,	PUNCT
cana-4961	129	5	tns	tns	PROPN
cana-4961	129	6	,	,	PUNCT
cana-4961	129	7	fps	fps	PROPN
cana-4961	129	8	,	,	PUNCT
cana-4961	129	9	and	and	CCONJ
cana-4961	129	10	fns	fns	PROPN
cana-4961	129	11	,	,	PUNCT
cana-4961	129	12	or	or	CCONJ
cana-4961	129	13	true	true	ADJ
cana-4961	129	14	positives	positive	NOUN
cana-4961	129	15	and	and	CCONJ
cana-4961	129	16	false	false	ADJ
cana-4961	129	17	negatives	negative	NOUN
cana-4961	129	18	.	.	PUNCT
cana-4961	130	1	the	the	DET
cana-4961	130	2	reliability	reliability	NOUN
cana-4961	130	3	of	of	ADP
cana-4961	130	4	each	each	DET
cana-4961	130	5	model	model	NOUN
cana-4961	130	6	in	in	ADP
cana-4961	130	7	foretelling	foretell	VERB
cana-4961	130	8	when	when	SCONJ
cana-4961	130	9	brakes	brake	NOUN
cana-4961	130	10	may	may	AUX
cana-4961	130	11	fail	fail	VERB
cana-4961	130	12	is	be	AUX
cana-4961	130	13	being	be	AUX
cana-4961	130	14	tested	test	VERB
cana-4961	130	15	in	in	ADP
cana-4961	130	16	this	this	DET
cana-4961	130	17	experiment	experiment	NOUN
cana-4961	130	18	.	.	PUNCT
cana-4961	131	1	strong	strong	ADJ
cana-4961	131	2	model	model	NOUN
cana-4961	131	3	correctness	correctness	NOUN
cana-4961	131	4	is	be	AUX
cana-4961	131	5	indicated	indicate	VERB
cana-4961	131	6	by	by	ADP
cana-4961	131	7	high	high	ADJ
cana-4961	131	8	levels	level	NOUN
cana-4961	131	9	of	of	ADP
cana-4961	131	10	true	true	ADJ
cana-4961	131	11	positive	positive	ADJ
cana-4961	131	12	(	(	PUNCT
cana-4961	131	13	tp	tp	NOUN
cana-4961	131	14	)	)	PUNCT
cana-4961	131	15	and	and	CCONJ
cana-4961	131	16	true	true	ADJ
cana-4961	131	17	negative	negative	ADJ
cana-4961	131	18	(	(	PUNCT
cana-4961	131	19	tn	tn	NOUN
cana-4961	131	20	)	)	PUNCT
cana-4961	131	21	,	,	PUNCT
cana-4961	131	22	however	however	ADV
cana-4961	131	23	an	an	DET
cana-4961	131	24	excessively	excessively	ADV
cana-4961	131	25	high	high	ADJ
cana-4961	131	26	fp	fp	ADJ
cana-4961	131	27	rate	rate	NOUN
cana-4961	131	28	can	can	AUX
cana-4961	131	29	lead	lead	VERB
cana-4961	131	30	to	to	ADP
cana-4961	131	31	unnecessary	unnecessary	ADJ
cana-4961	131	32	maintenance	maintenance	NOUN
cana-4961	131	33	,	,	PUNCT
cana-4961	131	34	and	and	CCONJ
cana-4961	131	35	an	an	DET
cana-4961	131	36	excessively	excessively	ADV
cana-4961	131	37	high	high	ADJ
cana-4961	131	38	fn	fn	NOUN
cana-4961	131	39	rate	rate	NOUN
cana-4961	131	40	can	can	AUX
cana-4961	131	41	compromise	compromise	VERB
cana-4961	131	42	safety	safety	NOUN
cana-4961	131	43	by	by	ADP
cana-4961	131	44	ignoring	ignore	VERB
cana-4961	131	45	real	real	ADJ
cana-4961	131	46	failures	failure	NOUN
cana-4961	131	47	.	.	PUNCT
cana-4961	132	1	finding	find	VERB
cana-4961	132	2	the	the	DET
cana-4961	132	3	best	good	ADJ
cana-4961	132	4	model	model	NOUN
cana-4961	132	5	for	for	ADP
cana-4961	132	6	forecasting	forecast	VERB
cana-4961	132	7	brake	brake	NOUN
cana-4961	132	8	failure	failure	NOUN
cana-4961	132	9	is	be	AUX
cana-4961	132	10	made	make	VERB
cana-4961	132	11	easier	easy	ADJ
cana-4961	132	12	by	by	ADP
cana-4961	132	13	analyzing	analyze	VERB
cana-4961	132	14	confusion	confusion	NOUN
cana-4961	132	15	matrices	matrix	NOUN
cana-4961	132	16	for	for	ADP
cana-4961	132	17	algorithms	algorithm	NOUN
cana-4961	132	18	like	like	ADP
cana-4961	132	19	svm	svm	PROPN
cana-4961	132	20	,	,	PUNCT
cana-4961	132	21	xgboost	xgboost	ADV
cana-4961	132	22	,	,	PUNCT
cana-4961	132	23	decision	decision	NOUN
cana-4961	132	24	tree	tree	NOUN
cana-4961	132	25	,	,	PUNCT
cana-4961	132	26	random	random	ADJ
cana-4961	132	27	forest	forest	NOUN
cana-4961	132	28	,	,	PUNCT
cana-4961	132	29	and	and	CCONJ
cana-4961	132	30	logistic	logistic	ADJ
cana-4961	132	31	regression	regression	NOUN
cana-4961	132	32	.	.	PUNCT
cana-4961	133	1	4.4.1	4.4.1	NUM
cana-4961	133	2	logistic	logistic	ADJ
cana-4961	133	3	regression	regression	NOUN
cana-4961	133	4	4.4.2	4.4.2	NUM
cana-4961	133	5	decision	decision	NOUN
cana-4961	133	6	tree	tree	NOUN
cana-4961	133	7	4.3.3	4.3.3	NUM
cana-4961	133	8	random	random	ADJ
cana-4961	133	9	forest	forest	NOUN
cana-4961	134	1	4.4.4	4.4.4	NUM
cana-4961	134	2	xgboost	xgboost	NOUN
cana-4961	135	1	4.4.5	4.4.5	NUM
cana-4961	135	2	light	light	NOUN
cana-4961	135	3	gradient	gradient	NOUN
cana-4961	135	4	boosting	boost	VERB
cana-4961	135	5	machine	machine	NOUN
cana-4961	135	6	4.4.6support	4.4.6support	NOUN
cana-4961	135	7	vector	vector	NOUN
cana-4961	135	8	machine	machine	NOUN
cana-4961	135	9	4.4	4.4	NUM
cana-4961	135	10	classification	classification	NOUN
cana-4961	135	11	report	report	NOUN
cana-4961	135	12	4.5.1	4.5.1	NUM
cana-4961	135	13	logistic	logistic	ADJ
cana-4961	135	14	regression	regression	NOUN
cana-4961	135	15	precision	precision	NOUN
cana-4961	135	16	recall	recall	VERB
cana-4961	135	17	f1	f1	NOUN
cana-4961	135	18	-	-	PUNCT
cana-4961	135	19	score	score	NOUN
cana-4961	135	20	support	support	NOUN
cana-4961	135	21	label	label	NOUN
cana-4961	135	22	0	0	NUM
cana-4961	135	23	53.00	53.00	NUM
cana-4961	135	24	53.00	53.00	NUM
cana-4961	135	25	53.00	53.00	NUM
cana-4961	135	26	96	96	NUM
cana-4961	135	27	label	label	NOUN
cana-4961	135	28	1	1	NUM
cana-4961	135	29	52.00	52.00	NUM
cana-4961	135	30	52.00	52.00	NUM
cana-4961	135	31	52.00	52.00	NUM
cana-4961	135	32	95	95	NUM
cana-4961	135	33	accu	accu	NOUN
cana-4961	135	34	.	.	PROPN
cana-4961	136	1	52.00	52.00	NUM
cana-4961	136	2	191	191	NUM
cana-4961	136	3	mac	mac	PROPN
cana-4961	136	4	.	.	PUNCT
cana-4961	137	1	average	average	ADJ
cana-4961	137	2	52.00	52.00	NUM
cana-4961	137	3	52.00	52.00	NUM
cana-4961	137	4	52.00	52.00	NUM
cana-4961	137	5	191	191	NUM
cana-4961	137	6	wg	wg	NOUN
cana-4961	137	7	average	average	ADJ
cana-4961	137	8	52.00	52.00	NUM
cana-4961	137	9	52.00	52.00	NUM
cana-4961	137	10	52.00	52.00	NUM
cana-4961	137	11	191	191	NUM
cana-4961	137	12	communications	communication	NOUN
cana-4961	137	13	on	on	ADP
cana-4961	137	14	applied	apply	VERB
cana-4961	137	15	nonlinear	nonlinear	ADJ
cana-4961	137	16	analysis	analysis	NOUN
cana-4961	137	17	issn	issn	NOUN
cana-4961	137	18	:	:	PUNCT
cana-4961	137	19	1074	1074	NUM
cana-4961	137	20	-	-	PUNCT
cana-4961	137	21	133x	133x	NUM
cana-4961	137	22	vol	vol	VERB
cana-4961	137	23	32	32	NUM
cana-4961	137	24	no	no	NOUN
cana-4961	137	25	.	.	PUNCT
cana-4961	138	1	10s	10	NOUN
cana-4961	138	2	(	(	PUNCT
cana-4961	138	3	2025	2025	NUM
cana-4961	138	4	)	)	PUNCT
cana-4961	138	5	1092	1092	NUM
cana-4961	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	138	7	4.5.2	4.5.2	NUM
cana-4961	138	8	decision	decision	NOUN
cana-4961	138	9	tree	tree	NOUN
cana-4961	138	10	precision	precision	NOUN
cana-4961	138	11	recall	recall	VERB
cana-4961	138	12	f1	f1	NOUN
cana-4961	138	13	-	-	PUNCT
cana-4961	138	14	score	score	NOUN
cana-4961	138	15	support	support	NOUN
cana-4961	138	16	label	label	NOUN
cana-4961	138	17	0	0	NUM
cana-4961	138	18	100.00	100.00	NUM
cana-4961	138	19	94.00	94.00	NUM
cana-4961	138	20	97.00	97.00	NUM
cana-4961	138	21	96	96	NUM
cana-4961	138	22	label	label	NOUN
cana-4961	138	23	1	1	NUM
cana-4961	138	24	94.00	94.00	NUM
cana-4961	138	25	100.00	100.00	NUM
cana-4961	138	26	97.00	97.00	NUM
cana-4961	138	27	95	95	NUM
cana-4961	138	28	accu	accu	NOUN
cana-4961	138	29	.	.	PROPN
cana-4961	139	1	97.00	97.00	NUM
cana-4961	139	2	191	191	NUM
cana-4961	139	3	mac	mac	PROPN
cana-4961	139	4	.	.	PUNCT
cana-4961	140	1	average	average	ADJ
cana-4961	140	2	97.00	97.00	NUM
cana-4961	140	3	97.00	97.00	NUM
cana-4961	140	4	97.00	97.00	NUM
cana-4961	140	5	191	191	NUM
cana-4961	140	6	wg	wg	NOUN
cana-4961	140	7	average	average	ADJ
cana-4961	140	8	97.00	97.00	NUM
cana-4961	140	9	97.00	97.00	NUM
cana-4961	140	10	97.00	97.00	NUM
cana-4961	140	11	191	191	NUM
cana-4961	140	12	4.5.3	4.5.3	NUM
cana-4961	140	13	random	random	ADJ
cana-4961	140	14	forest	forest	NOUN
cana-4961	140	15	precision	precision	NOUN
cana-4961	140	16	recall	recall	NOUN
cana-4961	140	17	f1	f1	NOUN
cana-4961	140	18	-	-	PUNCT
cana-4961	140	19	score	score	NOUN
cana-4961	140	20	support	support	NOUN
cana-4961	140	21	label	label	NOUN
cana-4961	140	22	0	0	NUM
cana-4961	140	23	100.00	100.00	NUM
cana-4961	140	24	94.00	94.00	NUM
cana-4961	140	25	97.00	97.00	NUM
cana-4961	140	26	96	96	NUM
cana-4961	140	27	label	label	NOUN
cana-4961	140	28	1	1	NUM
cana-4961	140	29	94.00	94.00	NUM
cana-4961	140	30	100.00	100.00	NUM
cana-4961	140	31	97.00	97.00	NUM
cana-4961	140	32	95	95	NUM
cana-4961	140	33	accu	accu	NOUN
cana-4961	140	34	.	.	PROPN
cana-4961	140	35	97.00	97.00	NUM
cana-4961	140	36	191	191	NUM
cana-4961	140	37	mac	mac	PROPN
cana-4961	140	38	.	.	PUNCT
cana-4961	141	1	average	average	ADJ
cana-4961	141	2	97.00	97.00	NUM
cana-4961	141	3	97.00	97.00	NUM
cana-4961	141	4	97.00	97.00	NUM
cana-4961	141	5	191	191	NUM
cana-4961	141	6	wg	wg	NOUN
cana-4961	141	7	average	average	ADJ
cana-4961	141	8	97.00	97.00	NUM
cana-4961	141	9	97.00	97.00	NUM
cana-4961	141	10	97.00	97.00	NUM
cana-4961	141	11	191	191	NUM
cana-4961	141	12	4.5.4	4.5.4	NUM
cana-4961	141	13	xgboost	xgboost	PROPN
cana-4961	141	14	precision	precision	PROPN
cana-4961	141	15	recall	recall	VERB
cana-4961	141	16	f1	f1	NOUN
cana-4961	141	17	-	-	PUNCT
cana-4961	141	18	score	score	NOUN
cana-4961	141	19	support	support	NOUN
cana-4961	141	20	label	label	NOUN
cana-4961	141	21	0	0	NUM
cana-4961	141	22	100.00	100.00	NUM
cana-4961	141	23	94.00	94.00	NUM
cana-4961	141	24	97.00	97.00	NUM
cana-4961	141	25	96	96	NUM
cana-4961	141	26	label	label	NOUN
cana-4961	141	27	1	1	NUM
cana-4961	141	28	94.00	94.00	NUM
cana-4961	141	29	100.00	100.00	NUM
cana-4961	141	30	97.00	97.00	NUM
cana-4961	141	31	95	95	NUM
cana-4961	141	32	accu	accu	NOUN
cana-4961	141	33	.	.	PROPN
cana-4961	141	34	97.00	97.00	NUM
cana-4961	141	35	191	191	NUM
cana-4961	141	36	mac	mac	PROPN
cana-4961	141	37	.	.	PUNCT
cana-4961	142	1	average	average	ADJ
cana-4961	142	2	97.00	97.00	NUM
cana-4961	142	3	97.00	97.00	NUM
cana-4961	142	4	97.00	97.00	NUM
cana-4961	142	5	191	191	NUM
cana-4961	142	6	wg	wg	NOUN
cana-4961	142	7	average	average	ADJ
cana-4961	142	8	97.00	97.00	NUM
cana-4961	142	9	97.00	97.00	NUM
cana-4961	142	10	97.00	97.00	NUM
cana-4961	142	11	191	191	NUM
cana-4961	142	12	4.5.5	4.5.5	NUM
cana-4961	142	13	lgbm	lgbm	ADJ
cana-4961	142	14	precision	precision	NOUN
cana-4961	142	15	recall	recall	NOUN
cana-4961	142	16	f1	f1	NOUN
cana-4961	142	17	-	-	PUNCT
cana-4961	142	18	score	score	NOUN
cana-4961	142	19	support	support	NOUN
cana-4961	142	20	label	label	NOUN
cana-4961	142	21	0	0	NUM
cana-4961	142	22	100.00	100.00	NUM
cana-4961	142	23	91.00	91.00	NUM
cana-4961	142	24	95.00	95.00	NUM
cana-4961	142	25	96	96	NUM
cana-4961	142	26	label	label	NOUN
cana-4961	142	27	1	1	NUM
cana-4961	142	28	91.00	91.00	NUM
cana-4961	142	29	100.00	100.00	NUM
cana-4961	142	30	95.00	95.00	NUM
cana-4961	142	31	95	95	NUM
cana-4961	142	32	accu	accu	NOUN
cana-4961	142	33	.	.	PROPN
cana-4961	142	34	95.00	95.00	NUM
cana-4961	142	35	191	191	NUM
cana-4961	142	36	mac	mac	PROPN
cana-4961	142	37	.	.	PUNCT
cana-4961	143	1	average	average	ADJ
cana-4961	143	2	96.00	96.00	NUM
cana-4961	143	3	95.00	95.00	NUM
cana-4961	143	4	95.00	95.00	NUM
cana-4961	143	5	191	191	NUM
cana-4961	143	6	wg	wg	NOUN
cana-4961	143	7	average	average	ADJ
cana-4961	143	8	96.00	96.00	NUM
cana-4961	143	9	95.00	95.00	NUM
cana-4961	143	10	95.00	95.00	NUM
cana-4961	143	11	191	191	NUM
cana-4961	143	12	communications	communication	NOUN
cana-4961	143	13	on	on	ADP
cana-4961	143	14	applied	apply	VERB
cana-4961	143	15	nonlinear	nonlinear	ADJ
cana-4961	143	16	analysis	analysis	NOUN
cana-4961	143	17	issn	issn	NOUN
cana-4961	143	18	:	:	PUNCT
cana-4961	143	19	1074	1074	NUM
cana-4961	143	20	-	-	PUNCT
cana-4961	143	21	133x	133x	NUM
cana-4961	143	22	vol	vol	VERB
cana-4961	143	23	32	32	NUM
cana-4961	143	24	no	no	NOUN
cana-4961	143	25	.	.	PUNCT
cana-4961	144	1	10s	10	NOUN
cana-4961	144	2	(	(	PUNCT
cana-4961	144	3	2025	2025	NUM
cana-4961	144	4	)	)	PUNCT
cana-4961	144	5	1093	1093	NUM
cana-4961	144	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	144	7	4.4.6	4.4.6	NUM
cana-4961	144	8	svm	svm	PROPN
cana-4961	144	9	precision	precision	NOUN
cana-4961	144	10	recall	recall	VERB
cana-4961	144	11	f1	f1	NOUN
cana-4961	144	12	-	-	PUNCT
cana-4961	144	13	score	score	NOUN
cana-4961	144	14	support	support	NOUN
cana-4961	144	15	label	label	NOUN
cana-4961	144	16	0	0	NUM
cana-4961	144	17	78.00	78.00	NUM
cana-4961	144	18	82.00	82.00	NUM
cana-4961	144	19	80.00	80.00	NUM
cana-4961	144	20	96	96	NUM
cana-4961	144	21	label	label	NOUN
cana-4961	144	22	1	1	NUM
cana-4961	144	23	81.00	81.00	NUM
cana-4961	144	24	77.00	77.00	NUM
cana-4961	144	25	79.00	79.00	NUM
cana-4961	144	26	95	95	NUM
cana-4961	144	27	accu	accu	NOUN
cana-4961	144	28	.	.	PROPN
cana-4961	144	29	80.00	80.00	NUM
cana-4961	144	30	191	191	NUM
cana-4961	144	31	mac	mac	PROPN
cana-4961	144	32	.	.	PUNCT
cana-4961	145	1	average	average	VERB
cana-4961	145	2	80.00	80.00	NUM
cana-4961	145	3	80.00	80.00	NUM
cana-4961	145	4	80.00	80.00	NUM
cana-4961	145	5	191	191	NUM
cana-4961	145	6	wg	wg	NOUN
cana-4961	145	7	average	average	ADJ
cana-4961	145	8	80.00	80.00	NUM
cana-4961	145	9	80.00	80.00	NUM
cana-4961	145	10	80.00	80.00	NUM
cana-4961	145	11	191	191	NUM
cana-4961	145	12	4.5	4.5	NUM
cana-4961	145	13	discussion	discussion	NOUN
cana-4961	145	14	of	of	ADP
cana-4961	145	15	results	result	NOUN
cana-4961	145	16	one	one	NUM
cana-4961	145	17	effective	effective	ADJ
cana-4961	145	18	and	and	CCONJ
cana-4961	145	19	reliable	reliable	ADJ
cana-4961	145	20	way	way	NOUN
cana-4961	145	21	to	to	PART
cana-4961	145	22	increase	increase	VERB
cana-4961	145	23	vehicle	vehicle	NOUN
cana-4961	145	24	safety	safety	NOUN
cana-4961	145	25	is	be	AUX
cana-4961	145	26	to	to	PART
cana-4961	145	27	use	use	VERB
cana-4961	145	28	machine	machine	NOUN
cana-4961	145	29	learning	learning	NOUN
cana-4961	145	30	for	for	ADP
cana-4961	145	31	brake	brake	NOUN
cana-4961	145	32	failure	failure	NOUN
cana-4961	145	33	prediction	prediction	NOUN
cana-4961	145	34	.	.	PUNCT
cana-4961	146	1	logistic	logistic	ADJ
cana-4961	146	2	regression	regression	NOUN
cana-4961	146	3	,	,	PUNCT
cana-4961	146	4	decision	decision	NOUN
cana-4961	146	5	tree	tree	NOUN
cana-4961	146	6	,	,	PUNCT
cana-4961	146	7	random	random	ADJ
cana-4961	146	8	forest	forest	NOUN
cana-4961	146	9	,	,	PUNCT
cana-4961	146	10	xgboost	xgboost	ADV
cana-4961	146	11	,	,	PUNCT
cana-4961	146	12	lightgbm	lightgbm	X
cana-4961	146	13	(	(	PUNCT
cana-4961	146	14	lgbm	lgbm	ADJ
cana-4961	146	15	)	)	PUNCT
cana-4961	146	16	,	,	PUNCT
cana-4961	146	17	and	and	CCONJ
cana-4961	146	18	support	support	VERB
cana-4961	146	19	vector	vector	NOUN
cana-4961	146	20	machine	machine	NOUN
cana-4961	146	21	(	(	PUNCT
cana-4961	146	22	svm	svm	PROPN
cana-4961	146	23	)	)	PUNCT
cana-4961	146	24	were	be	AUX
cana-4961	146	25	the	the	DET
cana-4961	146	26	six	six	NUM
cana-4961	146	27	models	model	NOUN
cana-4961	146	28	used	use	VERB
cana-4961	146	29	in	in	ADP
cana-4961	146	30	this	this	DET
cana-4961	146	31	study	study	NOUN
cana-4961	146	32	to	to	PART
cana-4961	146	33	analyze	analyze	VERB
cana-4961	146	34	important	important	ADJ
cana-4961	146	35	factors	factor	NOUN
cana-4961	146	36	including	include	VERB
cana-4961	146	37	fluid	fluid	ADJ
cana-4961	146	38	levels	level	NOUN
cana-4961	146	39	,	,	PUNCT
cana-4961	146	40	temperature	temperature	NOUN
cana-4961	146	41	,	,	PUNCT
cana-4961	146	42	and	and	CCONJ
cana-4961	146	43	brake	brake	NOUN
cana-4961	146	44	pad	pad	NOUN
cana-4961	146	45	wear	wear	NOUN
cana-4961	146	46	.	.	PUNCT
cana-4961	147	1	random	random	ADJ
cana-4961	147	2	forest	forest	NOUN
cana-4961	147	3	and	and	CCONJ
cana-4961	147	4	lgbm	lgbm	PROPN
cana-4961	147	5	,	,	PUNCT
cana-4961	147	6	two	two	NUM
cana-4961	147	7	examples	example	NOUN
cana-4961	147	8	of	of	ADP
cana-4961	147	9	ensemble	ensemble	ADJ
cana-4961	147	10	models	model	NOUN
cana-4961	147	11	,	,	PUNCT
cana-4961	147	12	achieved	achieve	VERB
cana-4961	147	13	perfect	perfect	ADJ
cana-4961	147	14	classification	classification	NOUN
cana-4961	147	15	accuracy	accuracy	NOUN
cana-4961	147	16	(	(	PUNCT
cana-4961	147	17	auc	auc	NOUN
cana-4961	147	18	=	=	SYM
cana-4961	147	19	1.00	1.00	NUM
cana-4961	147	20	)	)	PUNCT
cana-4961	147	21	,	,	PUNCT
cana-4961	147	22	demonstrating	demonstrate	VERB
cana-4961	147	23	their	their	PRON
cana-4961	147	24	outstanding	outstanding	ADJ
cana-4961	147	25	predictive	predictive	ADJ
cana-4961	147	26	power	power	NOUN
cana-4961	147	27	.	.	PUNCT
cana-4961	148	1	by	by	ADP
cana-4961	148	2	reducing	reduce	VERB
cana-4961	148	3	class	class	NOUN
cana-4961	148	4	imbalance	imbalance	NOUN
cana-4961	148	5	,	,	PUNCT
cana-4961	148	6	smote	smote	VERB
cana-4961	148	7	improved	improve	VERB
cana-4961	148	8	the	the	DET
cana-4961	148	9	accuracy	accuracy	NOUN
cana-4961	148	10	of	of	ADP
cana-4961	148	11	failure	failure	NOUN
cana-4961	148	12	detection	detection	NOUN
cana-4961	148	13	.	.	PUNCT
cana-4961	149	1	a	a	DET
cana-4961	149	2	standout	standout	NOUN
cana-4961	149	3	feature	feature	NOUN
cana-4961	149	4	was	be	AUX
cana-4961	149	5	the	the	DET
cana-4961	149	6	development	development	NOUN
cana-4961	149	7	of	of	ADP
cana-4961	149	8	a	a	DET
cana-4961	149	9	flask	flask	NOUN
cana-4961	149	10	-	-	PUNCT
cana-4961	149	11	powered	power	VERB
cana-4961	149	12	,	,	PUNCT
cana-4961	149	13	real	real	ADJ
cana-4961	149	14	-	-	PUNCT
cana-4961	149	15	time	time	NOUN
cana-4961	149	16	web	web	NOUN
cana-4961	149	17	interface	interface	NOUN
cana-4961	149	18	for	for	ADP
cana-4961	149	19	entering	enter	VERB
cana-4961	149	20	vehicle	vehicle	NOUN
cana-4961	149	21	data	datum	NOUN
cana-4961	149	22	and	and	CCONJ
cana-4961	149	23	receiving	receive	VERB
cana-4961	149	24	instantaneous	instantaneous	ADJ
cana-4961	149	25	brake	brake	NOUN
cana-4961	149	26	health	health	NOUN
cana-4961	149	27	predictions	prediction	NOUN
cana-4961	149	28	.	.	PUNCT
cana-4961	150	1	the	the	DET
cana-4961	150	2	study	study	NOUN
cana-4961	150	3	demonstrated	demonstrate	VERB
cana-4961	150	4	the	the	DET
cana-4961	150	5	practical	practical	ADJ
cana-4961	150	6	importance	importance	NOUN
cana-4961	150	7	of	of	ADP
cana-4961	150	8	machine	machine	NOUN
cana-4961	150	9	learning	learning	NOUN
cana-4961	150	10	in	in	ADP
cana-4961	150	11	transitioning	transition	VERB
cana-4961	150	12	from	from	ADP
cana-4961	150	13	reactive	reactive	NOUN
cana-4961	150	14	to	to	ADP
cana-4961	150	15	proactive	proactive	ADJ
cana-4961	150	16	maintenance	maintenance	NOUN
cana-4961	150	17	,	,	PUNCT
cana-4961	150	18	even	even	ADV
cana-4961	150	19	if	if	SCONJ
cana-4961	150	20	certain	certain	ADJ
cana-4961	150	21	models	model	NOUN
cana-4961	150	22	showed	show	VERB
cana-4961	150	23	limitations	limitation	NOUN
cana-4961	150	24	.	.	PUNCT
cana-4961	151	1	the	the	DET
cana-4961	151	2	results	result	NOUN
cana-4961	151	3	of	of	ADP
cana-4961	151	4	this	this	DET
cana-4961	151	5	research	research	NOUN
cana-4961	151	6	have	have	VERB
cana-4961	151	7	important	important	ADJ
cana-4961	151	8	implications	implication	NOUN
cana-4961	151	9	for	for	ADP
cana-4961	151	10	improving	improve	VERB
cana-4961	151	11	road	road	NOUN
cana-4961	151	12	safety	safety	NOUN
cana-4961	151	13	and	and	CCONJ
cana-4961	151	14	managing	manage	VERB
cana-4961	151	15	fleets	fleet	NOUN
cana-4961	151	16	economically	economically	ADV
cana-4961	151	17	,	,	PUNCT
cana-4961	151	18	as	as	ADV
cana-4961	151	19	well	well	ADV
cana-4961	151	20	as	as	ADP
cana-4961	151	21	for	for	ADP
cana-4961	151	22	integrating	integrate	VERB
cana-4961	151	23	the	the	DET
cana-4961	151	24	internet	internet	NOUN
cana-4961	151	25	of	of	ADP
cana-4961	151	26	things	thing	NOUN
cana-4961	151	27	and	and	CCONJ
cana-4961	151	28	deploying	deploy	VERB
cana-4961	151	29	systems	system	NOUN
cana-4961	151	30	in	in	ADP
cana-4961	151	31	the	the	DET
cana-4961	151	32	cloud	cloud	NOUN
cana-4961	151	33	to	to	PART
cana-4961	151	34	accommodate	accommodate	VERB
cana-4961	151	35	future	future	ADJ
cana-4961	151	36	growth	growth	NOUN
cana-4961	151	37	.	.	PUNCT
cana-4961	152	1	5	5	X
cana-4961	152	2	.	.	X
cana-4961	152	3	conclusion	conclusion	VERB
cana-4961	152	4	the	the	DET
cana-4961	152	5	study	study	NOUN
cana-4961	152	6	's	's	PART
cana-4961	152	7	findings	finding	NOUN
cana-4961	152	8	show	show	VERB
cana-4961	152	9	how	how	SCONJ
cana-4961	152	10	the	the	DET
cana-4961	152	11	car	car	NOUN
cana-4961	152	12	industry	industry	NOUN
cana-4961	152	13	could	could	AUX
cana-4961	152	14	benefit	benefit	VERB
cana-4961	152	15	from	from	ADP
cana-4961	152	16	predictive	predictive	ADJ
cana-4961	152	17	maintenance	maintenance	NOUN
cana-4961	152	18	powered	power	VERB
cana-4961	152	19	by	by	ADP
cana-4961	152	20	ai	ai	PROPN
cana-4961	152	21	.	.	PUNCT
cana-4961	153	1	using	use	VERB
cana-4961	153	2	machine	machine	NOUN
cana-4961	153	3	learning	learn	VERB
cana-4961	153	4	algorithms	algorithm	NOUN
cana-4961	153	5	and	and	CCONJ
cana-4961	153	6	real	real	ADJ
cana-4961	153	7	-	-	PUNCT
cana-4961	153	8	time	time	NOUN
cana-4961	153	9	data	datum	NOUN
cana-4961	153	10	processing	processing	NOUN
cana-4961	153	11	,	,	PUNCT
cana-4961	153	12	the	the	DET
cana-4961	153	13	suggested	suggest	VERB
cana-4961	153	14	system	system	NOUN
cana-4961	153	15	optimizes	optimize	VERB
cana-4961	153	16	maintenance	maintenance	NOUN
cana-4961	153	17	schedules	schedule	NOUN
cana-4961	153	18	,	,	PUNCT
cana-4961	153	19	reduces	reduce	VERB
cana-4961	153	20	costs	cost	NOUN
cana-4961	153	21	,	,	PUNCT
cana-4961	153	22	and	and	CCONJ
cana-4961	153	23	enhances	enhance	VERB
cana-4961	153	24	safety	safety	NOUN
cana-4961	153	25	.	.	PUNCT
cana-4961	154	1	it	it	PRON
cana-4961	154	2	also	also	ADV
cana-4961	154	3	prevents	prevent	VERB
cana-4961	154	4	abrupt	abrupt	ADJ
cana-4961	154	5	brake	brake	NOUN
cana-4961	154	6	failures	failure	NOUN
cana-4961	154	7	.	.	PUNCT
cana-4961	155	1	further	further	ADJ
cana-4961	155	2	improvements	improvement	NOUN
cana-4961	155	3	in	in	ADP
cana-4961	155	4	intelligent	intelligent	ADJ
cana-4961	155	5	car	car	NOUN
cana-4961	155	6	diagnostics	diagnostic	NOUN
cana-4961	155	7	may	may	AUX
cana-4961	155	8	be	be	AUX
cana-4961	155	9	possible	possible	ADJ
cana-4961	155	10	as	as	ADP
cana-4961	155	11	a	a	DET
cana-4961	155	12	consequence	consequence	NOUN
cana-4961	155	13	of	of	ADP
cana-4961	155	14	this	this	DET
cana-4961	155	15	study	study	NOUN
cana-4961	155	16	's	's	PART
cana-4961	155	17	findings	finding	NOUN
cana-4961	155	18	,	,	PUNCT
cana-4961	155	19	which	which	PRON
cana-4961	155	20	could	could	AUX
cana-4961	155	21	lead	lead	VERB
cana-4961	155	22	to	to	ADP
cana-4961	155	23	safer	safe	ADJ
cana-4961	155	24	and	and	CCONJ
cana-4961	155	25	more	more	ADV
cana-4961	155	26	reliable	reliable	ADJ
cana-4961	155	27	automobiles	automobile	NOUN
cana-4961	155	28	on	on	ADP
cana-4961	155	29	the	the	DET
cana-4961	155	30	road	road	NOUN
cana-4961	155	31	.	.	PUNCT
cana-4961	156	1	this	this	DET
cana-4961	156	2	study	study	NOUN
cana-4961	156	3	highlights	highlight	NOUN
cana-4961	156	4	how	how	SCONJ
cana-4961	156	5	ai	ai	AUX
cana-4961	156	6	can	can	AUX
cana-4961	156	7	revolutionize	revolutionize	VERB
cana-4961	156	8	vehicle	vehicle	NOUN
cana-4961	156	9	health	health	NOUN
cana-4961	156	10	monitoring	monitoring	NOUN
cana-4961	156	11	by	by	ADP
cana-4961	156	12	creating	create	VERB
cana-4961	156	13	a	a	DET
cana-4961	156	14	data	data	NOUN
cana-4961	156	15	-	-	PUNCT
cana-4961	156	16	driven	drive	VERB
cana-4961	156	17	,	,	PUNCT
cana-4961	156	18	efficient	efficient	ADJ
cana-4961	156	19	,	,	PUNCT
cana-4961	156	20	and	and	CCONJ
cana-4961	156	21	ecofriendly	ecofriendly	ADV
cana-4961	156	22	system	system	NOUN
cana-4961	156	23	.	.	PUNCT
cana-4961	157	1	references	reference	NOUN
cana-4961	157	2	[	[	X
cana-4961	157	3	1	1	NUM
cana-4961	157	4	]	]	PUNCT
cana-4961	157	5	abhishek	abhishek	PROPN
cana-4961	157	6	dhananjay	dhananjay	PROPN
cana-4961	157	7	patange	patange	PROPN
cana-4961	157	8	&	&	CCONJ
cana-4961	157	9	jegadeeshwaran	jegadeeshwaran	PROPN
cana-4961	157	10	r.	r.	PROPN
cana-4961	157	11	(	(	PUNCT
cana-4961	157	12	2021	2021	NUM
cana-4961	157	13	)	)	PUNCT
cana-4961	157	14	.	.	PUNCT
cana-4961	158	1	a	a	DET
cana-4961	158	2	machine	machine	NOUN
cana-4961	158	3	learning	learn	VERB
cana-4961	158	4	approach	approach	NOUN
cana-4961	158	5	for	for	ADP
cana-4961	158	6	vibration	vibration	NOUN
cana-4961	158	7	-	-	PUNCT
cana-4961	158	8	based	base	VERB
cana-4961	158	9	multipoint	multipoint	NOUN
cana-4961	158	10	tool	tool	NOUN
cana-4961	158	11	insert	insert	VERB
cana-4961	158	12	health	health	NOUN
cana-4961	158	13	prediction	prediction	NOUN
cana-4961	158	14	on	on	ADP
cana-4961	158	15	vertical	vertical	ADJ
cana-4961	158	16	machining	machining	NOUN
cana-4961	158	17	centre	centre	NOUN
cana-4961	158	18	(	(	PUNCT
cana-4961	158	19	vmc	vmc	PROPN
cana-4961	158	20	)	)	PUNCT
cana-4961	158	21	.	.	PUNCT
cana-4961	159	1	measurement	measurement	NOUN
cana-4961	159	2	,	,	PUNCT
cana-4961	159	3	vol	vol	NOUN
cana-4961	159	4	.	.	PROPN
cana-4961	159	5	173	173	NUM
cana-4961	159	6	,	,	PUNCT
cana-4961	159	7	108649	108649	NUM
cana-4961	159	8	.	.	PUNCT
cana-4961	160	1	[	[	X
cana-4961	160	2	2	2	NUM
cana-4961	160	3	]	]	PUNCT
cana-4961	160	4	alamelu	alamelu	NOUN
cana-4961	160	5	manghai	manghai	PROPN
cana-4961	160	6	,	,	PUNCT
cana-4961	160	7	t.m	t.m	PROPN
cana-4961	160	8	.	.	PROPN
cana-4961	160	9	,	,	PUNCT
cana-4961	160	10	&	&	CCONJ
cana-4961	160	11	jegadeeshwaran	jegadeeshwaran	PROPN
cana-4961	160	12	,	,	PUNCT
cana-4961	160	13	r.	r.	PROPN
cana-4961	160	14	(	(	PUNCT
cana-4961	160	15	2019	2019	NUM
cana-4961	160	16	)	)	PUNCT
cana-4961	160	17	.	.	PUNCT
cana-4961	161	1	vibration	vibration	NOUN
cana-4961	161	2	-	-	PUNCT
cana-4961	161	3	based	base	VERB
cana-4961	161	4	brake	brake	NOUN
cana-4961	161	5	health	health	NOUN
cana-4961	161	6	monitoring	monitoring	NOUN
cana-4961	161	7	using	use	VERB
cana-4961	161	8	wavelet	wavelet	NOUN
cana-4961	161	9	features	feature	NOUN
cana-4961	161	10	:	:	PUNCT
cana-4961	161	11	a	a	DET
cana-4961	161	12	machine	machine	NOUN
cana-4961	161	13	learning	learn	VERB
cana-4961	161	14	approach	approach	NOUN
cana-4961	161	15	.	.	PUNCT
cana-4961	162	1	journal	journal	NOUN
cana-4961	162	2	of	of	ADP
cana-4961	162	3	vibration	vibration	NOUN
cana-4961	162	4	and	and	CCONJ
cana-4961	162	5	control	control	NOUN
cana-4961	162	6	,	,	PUNCT
cana-4961	162	7	vol	vol	NOUN
cana-4961	162	8	.	.	PROPN
cana-4961	162	9	25	25	NUM
cana-4961	162	10	,	,	PUNCT
cana-4961	162	11	no	no	INTJ
cana-4961	162	12	.	.	NOUN
cana-4961	162	13	18	18	NUM
cana-4961	162	14	,	,	PUNCT
cana-4961	162	15	pp	pp	ADJ
cana-4961	162	16	.	.	PUNCT
cana-4961	163	1	2534	2534	NUM
cana-4961	163	2	-	-	SYM
cana-4961	163	3	2550	2550	NUM
cana-4961	163	4	.	.	PUNCT
cana-4961	164	1	communications	communication	NOUN
cana-4961	164	2	on	on	ADP
cana-4961	164	3	applied	apply	VERB
cana-4961	164	4	nonlinear	nonlinear	ADJ
cana-4961	164	5	analysis	analysis	NOUN
cana-4961	164	6	issn	issn	NOUN
cana-4961	164	7	:	:	PUNCT
cana-4961	164	8	1074	1074	NUM
cana-4961	164	9	-	-	PUNCT
cana-4961	164	10	133x	133x	NUM
cana-4961	164	11	vol	vol	VERB
cana-4961	164	12	32	32	NUM
cana-4961	164	13	no	no	NOUN
cana-4961	164	14	.	.	PUNCT
cana-4961	165	1	10s	10	NOUN
cana-4961	165	2	(	(	PUNCT
cana-4961	165	3	2025	2025	NUM
cana-4961	165	4	)	)	PUNCT
cana-4961	165	5	1094	1094	NUM
cana-4961	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4961	166	1	[	[	X
cana-4961	166	2	3	3	NUM
cana-4961	166	3	]	]	PUNCT
cana-4961	166	4	alamelu	alamelu	NOUN
cana-4961	166	5	mangai	mangai	PROPN
cana-4961	166	6	,	,	PUNCT
cana-4961	166	7	m.	m.	NOUN
cana-4961	166	8	,	,	PUNCT
cana-4961	166	9	jegadeeshwaran	jegadeeshwaran	NOUN
cana-4961	166	10	,	,	PUNCT
cana-4961	166	11	r.	r.	PROPN
cana-4961	166	12	&	&	CCONJ
cana-4961	166	13	sugumaran	sugumaran	PROPN
cana-4961	166	14	v.	v.	PROPN
cana-4961	166	15	(	(	PUNCT
cana-4961	166	16	2018	2018	NUM
cana-4961	166	17	)	)	PUNCT
cana-4961	166	18	.	.	PUNCT
cana-4961	167	1	vibration	vibration	NOUN
cana-4961	167	2	-	-	PUNCT
cana-4961	167	3	based	base	VERB
cana-4961	167	4	condition	condition	NOUN
cana-4961	167	5	monitoring	monitoring	NOUN
cana-4961	167	6	of	of	ADP
cana-4961	167	7	a	a	DET
cana-4961	167	8	brake	brake	NOUN
cana-4961	167	9	system	system	NOUN
cana-4961	167	10	using	use	VERB
cana-4961	167	11	statistical	statistical	ADJ
cana-4961	167	12	features	feature	NOUN
cana-4961	167	13	with	with	ADP
cana-4961	167	14	logit	logit	NOUN
cana-4961	167	15	boost	boost	NOUN
cana-4961	167	16	and	and	CCONJ
cana-4961	167	17	simple	simple	ADJ
cana-4961	167	18	logistic	logistic	ADJ
cana-4961	167	19	algorithm	algorithm	NOUN
cana-4961	167	20	.	.	PUNCT
cana-4961	168	1	international	international	ADJ
cana-4961	168	2	journal	journal	PROPN
cana-4961	168	3	of	of	ADP
cana-4961	168	4	performability	performability	NOUN
cana-4961	168	5	engineering	engineering	NOUN
cana-4961	168	6	,	,	PUNCT
cana-4961	168	7	vol	vol	NOUN
cana-4961	168	8	.	.	PROPN
cana-4961	168	9	14	14	NUM
cana-4961	168	10	,	,	PUNCT
cana-4961	168	11	no	no	INTJ
cana-4961	168	12	.	.	NOUN
cana-4961	168	13	1	1	NUM
cana-4961	168	14	,	,	PUNCT
cana-4961	168	15	pp	pp	ADJ
cana-4961	168	16	.	.	PUNCT
cana-4961	169	1	1	1	NUM
cana-4961	169	2	-	-	SYM
cana-4961	169	3	8	8	NUM
cana-4961	169	4	.	.	PUNCT
cana-4961	170	1	[	[	X
cana-4961	170	2	4	4	NUM
cana-4961	170	3	]	]	X
cana-4961	170	4	albert	albert	PROPN
cana-4961	170	5	podusenko	podusenko	PROPN
cana-4961	170	6	,	,	PUNCT
cana-4961	170	7	vsevolod	vsevolod	NOUN
cana-4961	170	8	nikulin	nikulin	PROPN
cana-4961	170	9	,	,	PUNCT
cana-4961	170	10	ivan	ivan	PROPN
cana-4961	170	11	tanev	tanev	PROPN
cana-4961	170	12	&	&	CCONJ
cana-4961	170	13	katsunori	katsunori	PROPN
cana-4961	170	14	shimohara	shimohara	PROPN
cana-4961	170	15	.	.	PUNCT
cana-4961	171	1	(	(	PUNCT
cana-4961	171	2	2017	2017	NUM
cana-4961	171	3	)	)	PUNCT
cana-4961	171	4	.	.	PUNCT
cana-4961	172	1	comparative	comparative	ADJ
cana-4961	172	2	analysis	analysis	NOUN
cana-4961	172	3	of	of	ADP
cana-4961	172	4	classifier	classifier	NOUN
cana-4961	172	5	for	for	ADP
cana-4961	172	6	classification	classification	NOUN
cana-4961	172	7	of	of	ADP
cana-4961	172	8	emergency	emergency	NOUN
cana-4961	172	9	braking	braking	NOUN
cana-4961	172	10	of	of	ADP
cana-4961	172	11	road	road	NOUN
cana-4961	172	12	motor	motor	NOUN
cana-4961	172	13	vehicles	vehicle	NOUN
cana-4961	172	14	.	.	PUNCT
cana-4961	173	1	algorithms	algorithm	NOUN
cana-4961	173	2	,	,	PUNCT
cana-4961	173	3	vol	vol	NOUN
cana-4961	173	4	.	.	PROPN
cana-4961	173	5	10	10	NUM
cana-4961	173	6	,	,	PUNCT
cana-4961	173	7	pp	pp	ADJ
cana-4961	173	8	.	.	PUNCT
cana-4961	173	9	129	129	NUM
cana-4961	173	10	.	.	PUNCT
cana-4961	174	1	[	[	X
cana-4961	174	2	5	5	X
cana-4961	174	3	]	]	PUNCT
cana-4961	174	4	niranjan	niranjan	PROPN
cana-4961	174	5	a.	a.	PROPN
cana-4961	174	6	,	,	PUNCT
cana-4961	174	7	haripriya	haripriya	PROPN
cana-4961	174	8	d.	d.	PROPN
cana-4961	174	9	k.	k.	PROPN
cana-4961	174	10	,	,	PUNCT
cana-4961	174	11	pooja	pooja	PROPN
cana-4961	174	12	r.	r.	PROPN
cana-4961	174	13	,	,	PUNCT
cana-4961	174	14	sarah	sarah	PROPN
cana-4961	174	15	s.	s.	PROPN
cana-4961	174	16	,	,	PUNCT
cana-4961	174	17	deepa	deepa	PROPN
cana-4961	174	18	shenoy	shenoy	VERB
cana-4961	174	19	p.	p.	PROPN
cana-4961	174	20	&	&	CCONJ
cana-4961	174	21	venugopal	venugopal	PROPN
cana-4961	174	22	k.r	k.r	PROPN
cana-4961	174	23	.	.	PROPN
cana-4961	174	24	(	(	PUNCT
cana-4961	174	25	2019	2019	NUM
cana-4961	174	26	)	)	PUNCT
cana-4961	174	27	.	.	PUNCT
cana-4961	175	1	ekrv	ekrv	NOUN
cana-4961	175	2	:	:	PUNCT
cana-4961	175	3	ensemble	ensemble	ADJ
cana-4961	175	4	of	of	ADP
cana-4961	175	5	knn	knn	PROPN
cana-4961	175	6	and	and	CCONJ
cana-4961	175	7	random	random	ADJ
cana-4961	175	8	committee	committee	NOUN
cana-4961	175	9	using	use	VERB
cana-4961	175	10	voting	voting	NOUN
cana-4961	175	11	for	for	ADP
cana-4961	175	12	efficient	efficient	ADJ
cana-4961	175	13	classification	classification	NOUN
cana-4961	175	14	of	of	ADP
cana-4961	175	15	phishing	phishe	VERB
cana-4961	175	16	.	.	PUNCT
cana-4961	176	1	advances	advance	NOUN
cana-4961	176	2	in	in	ADP
cana-4961	176	3	intelligent	intelligent	ADJ
cana-4961	176	4	systems	system	NOUN
cana-4961	176	5	and	and	CCONJ
cana-4961	176	6	computing	computing	NOUN
cana-4961	176	7	,	,	PUNCT
cana-4961	176	8	vol	vol	NOUN
cana-4961	176	9	.	.	PUNCT
cana-4961	176	10	713	713	NUM
cana-4961	176	11	,	,	PUNCT
cana-4961	176	12	springer	springer	NOUN
cana-4961	176	13	,	,	PUNCT
cana-4961	176	14	singapore	singapore	PROPN
cana-4961	176	15	.	.	PUNCT
cana-4961	177	1	[	[	X
cana-4961	177	2	6	6	NUM
cana-4961	177	3	]	]	X
cana-4961	177	4	saravanan	saravanan	PROPN
cana-4961	177	5	natarajan	natarajan	PROPN
cana-4961	177	6	.	.	PROPN
cana-4961	178	1	(	(	PUNCT
cana-4961	178	2	2017	2017	NUM
cana-4961	178	3	)	)	PUNCT
cana-4961	178	4	.	.	PUNCT
cana-4961	179	1	vibration	vibration	NOUN
cana-4961	179	2	signal	signal	VERB
cana-4961	179	3	analysis	analysis	NOUN
cana-4961	179	4	using	use	VERB
cana-4961	179	5	histogram	histogram	NOUN
cana-4961	179	6	features	feature	NOUN
cana-4961	179	7	and	and	CCONJ
cana-4961	179	8	support	support	VERB
cana-4961	179	9	vector	vector	NOUN
cana-4961	179	10	machine	machine	NOUN
cana-4961	179	11	for	for	ADP
cana-4961	179	12	gear	gear	NOUN
cana-4961	179	13	box	box	NOUN
cana-4961	179	14	fault	fault	NOUN
cana-4961	179	15	diagnosis	diagnosis	NOUN
cana-4961	179	16	.	.	PUNCT
cana-4961	180	1	international	international	ADJ
cana-4961	180	2	journal	journal	PROPN
cana-4961	180	3	of	of	ADP
cana-4961	180	4	systems	system	NOUN
cana-4961	180	5	,	,	PUNCT
cana-4961	180	6	control	control	NOUN
cana-4961	180	7	and	and	CCONJ
cana-4961	180	8	communication	communication	NOUN
cana-4961	180	9	,	,	PUNCT
cana-4961	180	10	vol	vol	NOUN
cana-4961	180	11	.	.	PROPN
cana-4961	180	12	8	8	NUM
cana-4961	180	13	,	,	PUNCT
cana-4961	180	14	no	no	INTJ
cana-4961	180	15	.	.	NOUN
cana-4961	180	16	1	1	NUM
cana-4961	180	17	,	,	PUNCT
cana-4961	180	18	pp	pp	ADJ
cana-4961	180	19	.	.	PUNCT
cana-4961	181	1	57–71	57–71	NOUN
cana-4961	181	2	.	.	PUNCT
cana-4961	182	1	[	[	X
cana-4961	182	2	7	7	X
cana-4961	182	3	]	]	X
cana-4961	182	4	dhananjay	dhananjay	PROPN
cana-4961	182	5	patange	patange	PROPN
cana-4961	182	6	abhishek	abhishek	PROPN
cana-4961	182	7	,	,	PUNCT
cana-4961	182	8	r.	r.	PROPN
cana-4961	182	9	jegadeeshwaran	jegadeeshwaran	PROPN
cana-4961	182	10	.	.	PUNCT
cana-4961	183	1	a	a	DET
cana-4961	183	2	machine	machine	NOUN
cana-4961	183	3	learning	learn	VERB
cana-4961	183	4	approach	approach	NOUN
cana-4961	183	5	for	for	ADP
cana-4961	183	6	vibrationbased	vibrationbase	VERB
cana-4961	183	7	multipoint	multipoint	NOUN
cana-4961	183	8	tool	tool	PROPN
cana-4961	183	9	insert	insert	VERB
cana-4961	183	10	health	health	NOUN
cana-4961	183	11	prediction	prediction	NOUN
cana-4961	183	12	on	on	ADP
cana-4961	183	13	vertical	vertical	ADJ
cana-4961	183	14	machining	machining	NOUN
cana-4961	183	15	centre	centre	NOUN
cana-4961	183	16	(	(	PUNCT
cana-4961	183	17	vmc	vmc	PROPN
cana-4961	183	18	)	)	PUNCT
cana-4961	183	19	.	.	PUNCT
cana-4961	184	1	measurement	measurement	NOUN
cana-4961	184	2	,	,	PUNCT
cana-4961	184	3	173	173	NUM
cana-4961	184	4	(	(	PUNCT
cana-4961	184	5	2021	2021	NUM
cana-4961	184	6	)	)	PUNCT
cana-4961	184	7	,	,	PUNCT
cana-4961	184	8	108649	108649	NUM
cana-4961	184	9	,	,	PUNCT
cana-4961	184	10	https://doi.org/10.1016/j.measurement.2020.108649	https://doi.org/10.1016/j.measurement.2020.108649	NOUN
cana-4961	184	11	.	.	PUNCT
cana-4961	185	1	[	[	X
cana-4961	185	2	8	8	X
cana-4961	185	3	]	]	PUNCT
cana-4961	185	4	s.	s.	PROPN
cana-4961	185	5	molina	molina	PROPN
cana-4961	185	6	,	,	PUNCT
cana-4961	185	7	r.	r.	PROPN
cana-4961	185	8	novella	novella	PROPN
cana-4961	185	9	,	,	PUNCT
cana-4961	185	10	j.	j.	PROPN
cana-4961	185	11	gomez	gomez	PROPN
cana-4961	185	12	-	-	PUNCT
cana-4961	185	13	soriano	soriano	PROPN
cana-4961	185	14	,	,	PUNCT
cana-4961	185	15	m.	m.	NOUN
cana-4961	185	16	olcina	olcina	PROPN
cana-4961	185	17	-	-	PUNCT
cana-4961	185	18	girona	girona	PROPN
cana-4961	185	19	.	.	PUNCT
cana-4961	186	1	new	new	ADJ
cana-4961	186	2	combustion	combustion	NOUN
cana-4961	186	3	modelling	model	VERB
cana-4961	186	4	approach	approach	NOUN
cana-4961	186	5	for	for	ADP
cana-4961	186	6	methane	methane	NOUN
cana-4961	186	7	-	-	PUNCT
cana-4961	186	8	hydrogen	hydrogen	NOUN
cana-4961	186	9	fueled	fuel	VERB
cana-4961	186	10	engines	engine	NOUN
cana-4961	186	11	using	use	VERB
cana-4961	186	12	machine	machine	NOUN
cana-4961	186	13	learning	learning	NOUN
cana-4961	186	14	and	and	CCONJ
cana-4961	186	15	engine	engine	NOUN
cana-4961	186	16	virtualization	virtualization	NOUN
cana-4961	186	17	.	.	PUNCT
cana-4961	187	1	energies	energy	NOUN
cana-4961	187	2	,	,	PUNCT
cana-4961	187	3	14	14	NUM
cana-4961	187	4	(	(	PUNCT
cana-4961	187	5	2021	2021	NUM
cana-4961	187	6	)	)	PUNCT
cana-4961	187	7	,	,	PUNCT
cana-4961	187	8	6732	6732	NUM
cana-4961	187	9	,	,	PUNCT
cana-4961	187	10	https://doi.org/10.3390/en14206732	https://doi.org/10.3390/en14206732	NOUN
cana-4961	187	11	.	.	PUNCT
cana-4961	188	1	[	[	X
cana-4961	188	2	9	9	NUM
cana-4961	188	3	]	]	X
cana-4961	188	4	w.j	w.j	PROPN
cana-4961	188	5	.	.	PROPN
cana-4961	188	6	lee	lee	PROPN
cana-4961	188	7	,	,	PUNCT
cana-4961	188	8	h.	h.	PROPN
cana-4961	188	9	wu	wu	PROPN
cana-4961	188	10	,	,	PUNCT
cana-4961	188	11	h.	h.	PROPN
cana-4961	188	12	yun	yun	PROPN
cana-4961	188	13	,	,	PUNCT
cana-4961	188	14	h.	h.	PROPN
cana-4961	188	15	kim	kim	PROPN
cana-4961	188	16	,	,	PUNCT
cana-4961	188	17	m.b.g	m.b.g	PROPN
cana-4961	188	18	.	.	PUNCT
cana-4961	188	19	jun	jun	PROPN
cana-4961	188	20	,	,	PUNCT
cana-4961	188	21	j.w	j.w	PROPN
cana-4961	188	22	.	.	PROPN
cana-4961	188	23	sutherland	sutherland	PROPN
cana-4961	188	24	.	.	PUNCT
cana-4961	189	1	predictive	predictive	ADJ
cana-4961	189	2	maintenance	maintenance	NOUN
cana-4961	189	3	of	of	ADP
cana-4961	189	4	machine	machine	NOUN
cana-4961	189	5	tool	tool	NOUN
cana-4961	189	6	systems	system	NOUN
cana-4961	189	7	using	use	VERB
cana-4961	189	8	artificial	artificial	ADJ
cana-4961	189	9	intelligence	intelligence	NOUN
cana-4961	189	10	techniques	technique	NOUN
cana-4961	189	11	applied	apply	VERB
cana-4961	189	12	to	to	ADP
cana-4961	189	13	machine	machine	NOUN
cana-4961	189	14	condition	condition	NOUN
cana-4961	189	15	data	datum	NOUN
cana-4961	189	16	.	.	PUNCT
cana-4961	190	1	procedia	procedia	PROPN
cana-4961	190	2	cirp	cirp	PROPN
cana-4961	190	3	,	,	PUNCT
cana-4961	190	4	80	80	NUM
cana-4961	190	5	(	(	PUNCT
cana-4961	190	6	2019	2019	NUM
cana-4961	190	7	)	)	PUNCT
cana-4961	190	8	,	,	PUNCT
cana-4961	190	9	506–511	506–511	NUM
cana-4961	190	10	,	,	PUNCT
cana-4961	190	11	https://doi.org/10.1016/j.procir.2018.12.019	https://doi.org/10.1016/j.procir.2018.12.019	X
cana-4961	190	12	.	.	PUNCT
cana-4961	191	1	[	[	X
cana-4961	191	2	10	10	NUM
cana-4961	191	3	]	]	X
cana-4961	191	4	q.	q.	PROPN
cana-4961	191	5	ma	ma	PROPN
cana-4961	191	6	,	,	PUNCT
cana-4961	191	7	y.	y.	PROPN
cana-4961	191	8	wang	wang	PROPN
cana-4961	191	9	.	.	PUNCT
cana-4961	192	1	fault	fault	VERB
cana-4961	192	2	diagnosis	diagnosis	NOUN
cana-4961	192	3	and	and	CCONJ
cana-4961	192	4	analysis	analysis	NOUN
cana-4961	192	5	of	of	ADP
cana-4961	192	6	hydraulic	hydraulic	ADJ
cana-4961	192	7	brake	brake	NOUN
cana-4961	192	8	based	base	VERB
cana-4961	192	9	on	on	ADP
cana-4961	192	10	friction	friction	NOUN
cana-4961	192	11	vibration	vibration	NOUN
cana-4961	192	12	signal	signal	NOUN
cana-4961	192	13	.	.	PUNCT
cana-4961	193	1	journal	journal	NOUN
cana-4961	193	2	of	of	ADP
cana-4961	193	3	vibroengineering	vibroengineere	VERB
cana-4961	193	4	,	,	PUNCT
cana-4961	193	5	25	25	NUM
cana-4961	193	6	(	(	PUNCT
cana-4961	193	7	2023	2023	NUM
cana-4961	193	8	)	)	PUNCT
cana-4961	193	9	,	,	PUNCT
cana-4961	193	10	https://doi.org/10.21595/jve.2023.23078	https://doi.org/10.21595/jve.2023.23078	ADV
cana-4961	193	11	.	.	PUNCT
cana-4961	194	1	https://doi.org/10.1016/j.measurement.2020.108649	https://doi.org/10.1016/j.measurement.2020.108649	NOUN
cana-4961	194	2	https://doi.org/10.3390/en14206732	https://doi.org/10.3390/en14206732	NOUN
cana-4961	194	3	https://doi.org/10.1016/j.procir.2018.12.019	https://doi.org/10.1016/j.procir.2018.12.019	NOUN