id	sid	tid	token	lemma	pos
alkej-908	1	1	this	this	PRON
alkej-908	1	2	is	be	AUX
alkej-908	1	3	an	an	DET
alkej-908	1	4	open	open	ADJ
alkej-908	1	5	access	access	NOUN
alkej-908	1	6	article	article	NOUN
alkej-908	1	7	under	under	ADP
alkej-908	1	8	the	the	DET
alkej-908	1	9	cc	cc	NOUN
alkej-908	1	10	by	by	ADP
alkej-908	1	11	license	license	NOUN
alkej-908	1	12	:	:	PUNCT
alkej-908	1	13	al	al	PROPN
alkej-908	1	14	-	-	PUNCT
alkej-908	1	15	khwarizmi	khwarizmi	PROPN
alkej-908	1	16	engineering	engineering	PROPN
alkej-908	1	17	journal	journal	PROPN
alkej-908	1	18	al	al	PROPN
alkej-908	1	19	-	-	PUNCT
alkej-908	1	20	khwarizmi	khwarizmi	PROPN
alkej-908	1	21	engineering	engineering	PROPN
alkej-908	1	22	journal	journal	PROPN
alkej-908	1	23	issn	issn	PROPN
alkej-908	1	24	(	(	PUNCT
alkej-908	1	25	printed	print	VERB
alkej-908	1	26	):	):	PUNCT
alkej-908	1	27	1818	1818	NUM
alkej-908	1	28	–	–	PUNCT
alkej-908	1	29	1171	1171	NUM
alkej-908	1	30	,	,	PUNCT
alkej-908	1	31	issn	issn	PROPN
alkej-908	1	32	(	(	PUNCT
alkej-908	1	33	online	online	ADJ
alkej-908	1	34	):	):	PUNCT
alkej-908	1	35	2312	2312	NUM
alkej-908	1	36	–	–	PUNCT
alkej-908	1	37	0789	0789	NUM
alkej-908	1	38	vol	vol	NOUN
alkej-908	1	39	.	.	PROPN
alkej-908	1	40	20	20	NUM
alkej-908	1	41	,	,	PUNCT
alkej-908	1	42	no	no	INTJ
alkej-908	1	43	.	.	NOUN
alkej-908	1	44	2	2	NUM
alkej-908	1	45	,	,	PUNCT
alkej-908	1	46	june	june	PROPN
alkej-908	1	47	,	,	PUNCT
alkej-908	1	48	(	(	PUNCT
alkej-908	1	49	2024	2024	NUM
alkej-908	1	50	)	)	PUNCT
alkej-908	1	51	,	,	PUNCT
alkej-908	1	52	p	p	PROPN
alkej-908	1	53	p.	p.	PROPN
alkej-908	1	54	2638	2638	NUM
alkej-908	1	55	performance	performance	NOUN
alkej-908	1	56	analysis	analysis	NOUN
alkej-908	1	57	of	of	ADP
alkej-908	1	58	different	different	ADJ
alkej-908	1	59	machine	machine	NOUN
alkej-908	1	60	learning	learn	VERB
alkej-908	1	61	algorithms	algorithm	NOUN
alkej-908	1	62	for	for	ADP
alkej-908	1	63	predictive	predictive	ADJ
alkej-908	1	64	maintenance	maintenance	NOUN
alkej-908	1	65	noor	noor	PROPN
alkej-908	1	66	a.	a.	PROPN
alkej-908	1	67	mohammed	mohammed	PROPN
alkej-908	1	68	*	*	PROPN
alkej-908	1	69	,	,	PUNCT
alkej-908	1	70	osamah	osamah	PROPN
alkej-908	1	71	f.	f.	PROPN
alkej-908	1	72	abdulateef	abdulateef	PROPN
alkej-908	1	73	*	*	PROPN
alkej-908	2	1	*	*	PROPN
alkej-908	2	2	,	,	PUNCT
alkej-908	2	3	ali	ali	PROPN
alkej-908	2	4	h.	h.	PROPN
alkej-908	2	5	hamad	hamad	PROPN
alkej-908	3	1	*	*	PUNCT
alkej-908	3	2	*	*	PUNCT
alkej-908	3	3	*	*	PUNCT
alkej-908	3	4	and	and	CCONJ
alkej-908	3	5	oday	oday	PROPN
alkej-908	3	6	i.	i.	PROPN
alkej-908	3	7	abdullah	abdullah	PROPN
alkej-908	4	1	*	*	PROPN
alkej-908	4	2	*	*	PUNCT
alkej-908	4	3	*	*	PUNCT
alkej-908	4	4	*	*	PUNCT
alkej-908	4	5	*	*	PUNCT
alkej-908	4	6	,	,	PUNCT
alkej-908	4	7	*	*	PUNCT
alkej-908	4	8	*	*	PUNCT
alkej-908	4	9	department	department	NOUN
alkej-908	4	10	of	of	ADP
alkej-908	4	11	automated	automate	VERB
alkej-908	4	12	manufacturing	manufacturing	NOUN
alkej-908	4	13	engineering	engineering	NOUN
alkej-908	4	14	,	,	PUNCT
alkej-908	4	15	al	al	PROPN
alkej-908	4	16	-	-	PUNCT
alkej-908	4	17	khwarizmi	khwarizmi	PROPN
alkej-908	4	18	college	college	PROPN
alkej-908	4	19	of	of	ADP
alkej-908	4	20	engineering	engineering	PROPN
alkej-908	4	21	,	,	PUNCT
alkej-908	4	22	university	university	NOUN
alkej-908	4	23	of	of	ADP
alkej-908	4	24	baghdad	baghdad	PROPN
alkej-908	4	25	,	,	PUNCT
alkej-908	4	26	baghdad	baghdad	PROPN
alkej-908	4	27	,	,	PUNCT
alkej-908	4	28	iraq	iraq	PROPN
alkej-908	4	29	*	*	PUNCT
alkej-908	4	30	*	*	PUNCT
alkej-908	4	31	*	*	PUNCT
alkej-908	4	32	department	department	NOUN
alkej-908	4	33	of	of	ADP
alkej-908	4	34	information	information	NOUN
alkej-908	4	35	and	and	CCONJ
alkej-908	4	36	communication	communication	NOUN
alkej-908	4	37	engineering	engineering	NOUN
alkej-908	4	38	,	,	PUNCT
alkej-908	4	39	al	al	PROPN
alkej-908	4	40	-	-	PUNCT
alkej-908	4	41	khwarizmi	khwarizmi	PROPN
alkej-908	4	42	college	college	PROPN
alkej-908	4	43	of	of	ADP
alkej-908	4	44	engineering	engineering	PROPN
alkej-908	4	45	,	,	PUNCT
alkej-908	4	46	university	university	NOUN
alkej-908	4	47	of	of	ADP
alkej-908	4	48	baghdad	baghdad	PROPN
alkej-908	4	49	,	,	PUNCT
alkej-908	4	50	baghdad	baghdad	PROPN
alkej-908	4	51	,	,	PUNCT
alkej-908	4	52	iraq	iraq	PROPN
alkej-908	4	53	*	*	PUNCT
alkej-908	5	1	*	*	PUNCT
alkej-908	5	2	*	*	PUNCT
alkej-908	5	3	*	*	PUNCT
alkej-908	5	4	system	system	NOUN
alkej-908	5	5	technologies	technology	NOUN
alkej-908	5	6	and	and	CCONJ
alkej-908	5	7	engineering	engineering	NOUN
alkej-908	5	8	design	design	NOUN
alkej-908	5	9	methodology	methodology	NOUN
alkej-908	5	10	,	,	PUNCT
alkej-908	5	11	hamburg	hamburg	PROPN
alkej-908	5	12	university	university	PROPN
alkej-908	5	13	of	of	ADP
alkej-908	5	14	technology	technology	NOUN
alkej-908	5	15	,	,	PUNCT
alkej-908	5	16	21079	21079	NUM
alkej-908	5	17	hamburg	hamburg	PROPN
alkej-908	5	18	,	,	PUNCT
alkej-908	5	19	germany	germany	PROPN
alkej-908	5	20	corresponding	corresponding	ADJ
alkej-908	5	21	author	author	NOUN
alkej-908	5	22	*	*	NOUN
alkej-908	5	23	email	email	NOUN
alkej-908	5	24	:	:	PUNCT
alkej-908	5	25	noor.ali2204@kecbu.uobaghdad.edu.iq	noor.ali2204@kecbu.uobaghdad.edu.iq	NOUN
alkej-908	5	26	*	*	PUNCT
alkej-908	5	27	*	*	NOUN
alkej-908	5	28	email	email	NOUN
alkej-908	5	29	:	:	PUNCT
alkej-908	5	30	drosamah@kecbu.uobaghdad.edu.iq	drosamah@kecbu.uobaghdad.edu.iq	ADJ
alkej-908	5	31	*	*	PUNCT
alkej-908	5	32	*	*	PUNCT
alkej-908	5	33	*	*	NOUN
alkej-908	5	34	email	email	NOUN
alkej-908	5	35	:	:	PUNCT
alkej-908	5	36	ahamad@kecbu.uobaghdad.edu.iq	ahamad@kecbu.uobaghdad.edu.iq	NOUN
alkej-908	5	37	*	*	PUNCT
alkej-908	5	38	*	*	PUNCT
alkej-908	5	39	*	*	PUNCT
alkej-908	5	40	*	*	NOUN
alkej-908	5	41	email	email	NOUN
alkej-908	5	42	:	:	PUNCT
alkej-908	5	43	oday.abdullah@tuhh.de	oday.abdullah@tuhh.de	PROPN
alkej-908	5	44	(	(	PUNCT
alkej-908	5	45	received	receive	VERB
alkej-908	5	46	4	4	NUM
alkej-908	5	47	october	october	NOUN
alkej-908	5	48	2023	2023	NUM
alkej-908	5	49	;	;	PUNCT
alkej-908	5	50	accepted	accept	VERB
alkej-908	5	51	27	27	NUM
alkej-908	5	52	november	november	PROPN
alkej-908	5	53	2023	2023	NUM
alkej-908	5	54	;	;	PUNCT
alkej-908	5	55	published	publish	VERB
alkej-908	5	56	1	1	NUM
alkej-908	5	57	june	june	PROPN
alkej-908	5	58	2024	2024	NUM
alkej-908	5	59	)	)	PUNCT
alkej-908	6	1	https://doi.org/10.22153/kej.2024.11.003	https://doi.org/10.22153/kej.2024.11.003	X
alkej-908	6	2	abstract	abstract	NOUN
alkej-908	6	3	this	this	DET
alkej-908	6	4	research	research	NOUN
alkej-908	6	5	offers	offer	VERB
alkej-908	6	6	an	an	DET
alkej-908	6	7	extensive	extensive	ADJ
alkej-908	6	8	study	study	NOUN
alkej-908	6	9	of	of	ADP
alkej-908	6	10	different	different	ADJ
alkej-908	6	11	machine	machine	NOUN
alkej-908	6	12	learning	learn	VERB
alkej-908	6	13	issues	issue	NOUN
alkej-908	6	14	for	for	ADP
alkej-908	6	15	predictive	predictive	ADJ
alkej-908	6	16	maintenance	maintenance	NOUN
alkej-908	6	17	applications	application	NOUN
alkej-908	6	18	for	for	ADP
alkej-908	6	19	motor	motor	NOUN
alkej-908	6	20	condition	condition	NOUN
alkej-908	6	21	ranging	range	VERB
alkej-908	6	22	from	from	ADP
alkej-908	6	23	ac	ac	PROPN
alkej-908	6	24	motors	motors	PROPN
alkej-908	6	25	.	.	PUNCT
alkej-908	7	1	the	the	DET
alkej-908	7	2	research	research	NOUN
alkej-908	7	3	establishes	establish	VERB
alkej-908	7	4	a	a	DET
alkej-908	7	5	scenario	scenario	NOUN
alkej-908	7	6	that	that	PRON
alkej-908	7	7	represents	represent	VERB
alkej-908	7	8	the	the	DET
alkej-908	7	9	real	real	ADJ
alkej-908	7	10	world	world	NOUN
alkej-908	7	11	to	to	PART
alkej-908	7	12	identify	identify	VERB
alkej-908	7	13	which	which	DET
alkej-908	7	14	algorithms	algorithm	NOUN
alkej-908	7	15	can	can	AUX
alkej-908	7	16	be	be	AUX
alkej-908	7	17	trusted	trust	VERB
alkej-908	7	18	to	to	PART
alkej-908	7	19	predict	predict	VERB
alkej-908	7	20	both	both	PRON
alkej-908	7	21	the	the	DET
alkej-908	7	22	time	time	NOUN
alkej-908	7	23	of	of	ADP
alkej-908	7	24	failure	failure	NOUN
alkej-908	7	25	and	and	CCONJ
alkej-908	7	26	the	the	DET
alkej-908	7	27	actual	actual	ADJ
alkej-908	7	28	type	type	NOUN
alkej-908	7	29	of	of	ADP
alkej-908	7	30	failure	failure	NOUN
alkej-908	7	31	in	in	ADP
alkej-908	7	32	the	the	DET
alkej-908	7	33	ac	ac	PROPN
alkej-908	7	34	motors	motors	PROPN
alkej-908	7	35	.	.	PUNCT
alkej-908	8	1	the	the	DET
alkej-908	8	2	employed	employ	VERB
alkej-908	8	3	machine	machine	NOUN
alkej-908	8	4	learning	learning	NOUN
alkej-908	8	5	algorithms	algorithm	NOUN
alkej-908	8	6	include	include	VERB
alkej-908	8	7	the	the	DET
alkej-908	8	8	random	random	ADJ
alkej-908	8	9	forest	forest	NOUN
alkej-908	8	10	(	(	PUNCT
alkej-908	8	11	rfc	rfc	PROPN
alkej-908	8	12	)	)	PUNCT
alkej-908	8	13	,	,	PUNCT
alkej-908	8	14	support	support	VERB
alkej-908	8	15	vector	vector	NOUN
alkej-908	8	16	classifier	classifier	NOUN
alkej-908	8	17	(	(	PUNCT
alkej-908	8	18	svc	svc	PROPN
alkej-908	8	19	)	)	PUNCT
alkej-908	8	20	,	,	PUNCT
alkej-908	8	21	k	k	X
alkej-908	8	22	-	-	PUNCT
alkej-908	8	23	nearest	near	ADJ
alkej-908	8	24	neighbor	neighbor	NOUN
alkej-908	8	25	(	(	PUNCT
alkej-908	8	26	knn	knn	PROPN
alkej-908	8	27	)	)	PUNCT
alkej-908	8	28	,	,	PUNCT
alkej-908	8	29	logistic	logistic	ADJ
alkej-908	8	30	regression	regression	NOUN
alkej-908	8	31	(	(	PUNCT
alkej-908	8	32	lr	lr	NOUN
alkej-908	8	33	)	)	PUNCT
alkej-908	8	34	,	,	PUNCT
alkej-908	8	35	and	and	CCONJ
alkej-908	8	36	xgboost	xgboost	PRON
alkej-908	8	37	(	(	PUNCT
alkej-908	8	38	xgb	xgb	NUM
alkej-908	8	39	)	)	PUNCT
alkej-908	8	40	in	in	ADP
alkej-908	8	41	our	our	PRON
alkej-908	8	42	work	work	NOUN
alkej-908	8	43	.	.	PUNCT
alkej-908	9	1	the	the	DET
alkej-908	9	2	assessment	assessment	NOUN
alkej-908	9	3	includes	include	VERB
alkej-908	9	4	the	the	DET
alkej-908	9	5	comparison	comparison	NOUN
alkej-908	9	6	of	of	ADP
alkej-908	9	7	algorithms	algorithm	NOUN
alkej-908	9	8	in	in	ADP
alkej-908	9	9	terms	term	NOUN
alkej-908	9	10	of	of	ADP
alkej-908	9	11	the	the	DET
alkej-908	9	12	predictive	predictive	ADJ
alkej-908	9	13	accuracy	accuracy	NOUN
alkej-908	9	14	educated	educate	VERB
alkej-908	9	15	with	with	ADP
alkej-908	9	16	different	different	ADJ
alkej-908	9	17	size	size	NOUN
alkej-908	9	18	training	training	NOUN
alkej-908	9	19	data	datum	NOUN
alkej-908	9	20	.	.	PUNCT
alkej-908	10	1	before	before	SCONJ
alkej-908	10	2	the	the	DET
alkej-908	10	3	model	model	NOUN
alkej-908	10	4	is	be	AUX
alkej-908	10	5	developed	develop	VERB
alkej-908	10	6	,	,	PUNCT
alkej-908	10	7	thorough	thorough	ADJ
alkej-908	10	8	data	datum	NOUN
alkej-908	10	9	preprocessing	preprocessing	NOUN
alkej-908	10	10	methods	method	NOUN
alkej-908	10	11	will	will	AUX
alkej-908	10	12	be	be	AUX
alkej-908	10	13	applied	apply	VERB
alkej-908	10	14	that	that	PRON
alkej-908	10	15	will	will	AUX
alkej-908	10	16	allow	allow	VERB
alkej-908	10	17	the	the	DET
alkej-908	10	18	breaking	breaking	NOUN
alkej-908	10	19	down	down	ADP
alkej-908	10	20	of	of	ADP
alkej-908	10	21	the	the	DET
alkej-908	10	22	model	model	NOUN
alkej-908	10	23	assumptions	assumption	NOUN
alkej-908	10	24	and	and	CCONJ
alkej-908	10	25	the	the	DET
alkej-908	10	26	optimization	optimization	NOUN
alkej-908	10	27	of	of	ADP
alkej-908	10	28	the	the	DET
alkej-908	10	29	performance	performance	NOUN
alkej-908	10	30	.	.	PUNCT
alkej-908	11	1	for	for	ADP
alkej-908	11	2	preprocessing	preprocesse	VERB
alkej-908	11	3	step	step	NOUN
alkej-908	11	4	the	the	DET
alkej-908	11	5	following	follow	VERB
alkej-908	11	6	two	two	NUM
alkej-908	11	7	steps	step	NOUN
alkej-908	11	8	are	be	AUX
alkej-908	11	9	made	make	VERB
alkej-908	11	10	including	include	VERB
alkej-908	11	11	the	the	DET
alkej-908	11	12	removal	removal	NOUN
alkej-908	11	13	of	of	ADP
alkej-908	11	14	unclear	unclear	ADJ
alkej-908	11	15	samples	sample	NOUN
alkej-908	11	16	,	,	PUNCT
alkej-908	11	17	label	label	NOUN
alkej-908	11	18	encoding	encoding	NOUN
alkej-908	11	19	used	use	VERB
alkej-908	11	20	for	for	ADP
alkej-908	11	21	categorical	categorical	ADJ
alkej-908	11	22	columns	column	NOUN
alkej-908	11	23	,	,	PUNCT
alkej-908	11	24	and	and	CCONJ
alkej-908	11	25	column	column	NOUN
alkej-908	11	26	scaling	scaling	NOUN
alkej-908	11	27	.	.	PUNCT
alkej-908	12	1	intriguingly	intriguingly	ADV
alkej-908	12	2	,	,	PUNCT
alkej-908	12	3	the	the	DET
alkej-908	12	4	identification	identification	NOUN
alkej-908	12	5	of	of	ADP
alkej-908	12	6	seemingly	seemingly	ADV
alkej-908	12	7	outlier	outlier	ADJ
alkej-908	12	8	data	data	NOUN
alkej-908	12	9	points	point	NOUN
alkej-908	12	10	is	be	AUX
alkej-908	12	11	revisited	revisit	VERB
alkej-908	12	12	,	,	PUNCT
alkej-908	12	13	revealing	reveal	VERB
alkej-908	12	14	their	their	PRON
alkej-908	12	15	integral	integral	ADJ
alkej-908	12	16	role	role	NOUN
alkej-908	12	17	in	in	ADP
alkej-908	12	18	capturing	capture	VERB
alkej-908	12	19	the	the	DET
alkej-908	12	20	natural	natural	ADJ
alkej-908	12	21	variance	variance	NOUN
alkej-908	12	22	of	of	ADP
alkej-908	12	23	the	the	DET
alkej-908	12	24	dataset	dataset	NOUN
alkej-908	12	25	and	and	CCONJ
alkej-908	12	26	enhancing	enhance	VERB
alkej-908	12	27	classification	classification	NOUN
alkej-908	12	28	tasks	task	NOUN
alkej-908	12	29	.	.	PUNCT
alkej-908	13	1	these	these	DET
alkej-908	13	2	identified	identify	VERB
alkej-908	13	3	features	feature	NOUN
alkej-908	13	4	are	be	AUX
alkej-908	13	5	observed	observe	VERB
alkej-908	13	6	to	to	PART
alkej-908	13	7	be	be	AUX
alkej-908	13	8	pivotal	pivotal	ADJ
alkej-908	13	9	contributors	contributor	NOUN
alkej-908	13	10	to	to	ADP
alkej-908	13	11	predictive	predictive	ADJ
alkej-908	13	12	models	model	NOUN
alkej-908	13	13	.	.	PUNCT
alkej-908	14	1	the	the	DET
alkej-908	14	2	study	study	NOUN
alkej-908	14	3	shows	show	VERB
alkej-908	14	4	that	that	SCONJ
alkej-908	14	5	in	in	ADP
alkej-908	14	6	both	both	PRON
alkej-908	14	7	algorithm	algorithm	NOUN
alkej-908	14	8	failure	failure	NOUN
alkej-908	14	9	cases	case	NOUN
alkej-908	14	10	and	and	CCONJ
alkej-908	14	11	failure	failure	NOUN
alkej-908	14	12	type	type	NOUN
alkej-908	14	13	identification	identification	NOUN
alkej-908	14	14	,	,	PUNCT
alkej-908	14	15	their	their	PRON
alkej-908	14	16	performances	performance	NOUN
alkej-908	14	17	are	be	AUX
alkej-908	14	18	comparable	comparable	ADJ
alkej-908	14	19	.	.	PUNCT
alkej-908	15	1	regarding	regard	VERB
alkej-908	15	2	training	training	NOUN
alkej-908	15	3	time	time	NOUN
alkej-908	15	4	,	,	PUNCT
alkej-908	15	5	k	k	NOUN
alkej-908	15	6	-	-	PUNCT
alkej-908	15	7	nearest	near	ADJ
alkej-908	15	8	neighbors	neighbor	NOUN
alkej-908	15	9	(	(	PUNCT
alkej-908	15	10	knn	knn	PROPN
alkej-908	15	11	)	)	PUNCT
alkej-908	15	12	algorithm	algorithm	NOUN
alkej-908	15	13	yields	yield	VERB
alkej-908	15	14	the	the	DET
alkej-908	15	15	top	top	ADV
alkej-908	15	16	-	-	PUNCT
alkej-908	15	17	performing	perform	VERB
alkej-908	15	18	model	model	NOUN
alkej-908	15	19	for	for	ADP
alkej-908	15	20	both	both	DET
alkej-908	15	21	datasets	dataset	NOUN
alkej-908	15	22	(	(	PUNCT
alkej-908	15	23	4	4	NUM
alkej-908	15	24	sec	sec	PROPN
alkej-908	15	25	and	and	CCONJ
alkej-908	15	26	3	3	NUM
alkej-908	15	27	sec	sec	PROPN
alkej-908	15	28	)	)	PUNCT
alkej-908	15	29	respectively	respectively	ADV
alkej-908	15	30	,	,	PUNCT
alkej-908	15	31	whereas	whereas	SCONJ
alkej-908	15	32	random	random	ADJ
alkej-908	15	33	forest	forest	NOUN
alkej-908	15	34	(	(	PUNCT
alkej-908	15	35	rfc	rfc	NOUN
alkej-908	15	36	)	)	PUNCT
alkej-908	15	37	performs	perform	VERB
alkej-908	15	38	the	the	DET
alkej-908	15	39	worst	bad	ADJ
alkej-908	15	40	training	training	NOUN
alkej-908	15	41	time	time	NOUN
alkej-908	15	42	(	(	PUNCT
alkej-908	15	43	151	151	NUM
alkej-908	15	44	sec	sec	NOUN
alkej-908	15	45	)	)	PUNCT
alkej-908	15	46	which	which	PRON
alkej-908	15	47	belong	belong	VERB
alkej-908	15	48	to	to	ADP
alkej-908	15	49	the	the	DET
alkej-908	15	50	binary	binary	ADJ
alkej-908	15	51	failure	failure	NOUN
alkej-908	15	52	prediction	prediction	NOUN
alkej-908	15	53	task	task	NOUN
alkej-908	15	54	and	and	CCONJ
alkej-908	15	55	xgboost	xgboost	PROPN
alkej-908	15	56	(	(	PUNCT
alkej-908	15	57	xgb	xgb	NUM
alkej-908	15	58	)	)	PUNCT
alkej-908	15	59	in	in	ADP
alkej-908	15	60	multi	multi	ADJ
alkej-908	15	61	-	-	ADJ
alkej-908	15	62	class	class	ADJ
alkej-908	15	63	failure	failure	NOUN
alkej-908	15	64	prediction	prediction	NOUN
alkej-908	15	65	task	task	NOUN
alkej-908	15	66	(	(	PUNCT
alkej-908	15	67	276	276	NUM
alkej-908	15	68	sec	sec	PROPN
alkej-908	15	69	)	)	PUNCT
alkej-908	15	70	,	,	PUNCT
alkej-908	15	71	which	which	PRON
alkej-908	15	72	is	be	AUX
alkej-908	15	73	contributed	contribute	VERB
alkej-908	15	74	.	.	PUNCT
alkej-908	16	1	finally	finally	ADV
alkej-908	16	2	,	,	PUNCT
alkej-908	16	3	this	this	DET
alkej-908	16	4	paper	paper	NOUN
alkej-908	16	5	emphasizes	emphasize	VERB
alkej-908	16	6	that	that	SCONJ
alkej-908	16	7	deciding	decide	VERB
alkej-908	16	8	on	on	ADP
alkej-908	16	9	which	which	DET
alkej-908	16	10	machine	machine	NOUN
alkej-908	16	11	learning	learning	NOUN
alkej-908	16	12	model	model	NOUN
alkej-908	16	13	is	be	AUX
alkej-908	16	14	appropriate	appropriate	ADJ
alkej-908	16	15	for	for	ADP
alkej-908	16	16	predictive	predictive	ADJ
alkej-908	16	17	maintenance	maintenance	NOUN
alkej-908	16	18	can	can	AUX
alkej-908	16	19	be	be	AUX
alkej-908	16	20	quite	quite	DET
alkej-908	16	21	a	a	DET
alkej-908	16	22	challenge	challenge	NOUN
alkej-908	16	23	due	due	ADP
alkej-908	16	24	to	to	ADP
alkej-908	16	25	the	the	DET
alkej-908	16	26	necessity	necessity	NOUN
alkej-908	16	27	to	to	PART
alkej-908	16	28	balance	balance	VERB
alkej-908	16	29	between	between	ADP
alkej-908	16	30	accuracy	accuracy	NOUN
alkej-908	16	31	and	and	CCONJ
alkej-908	16	32	training	training	NOUN
alkej-908	16	33	time	time	NOUN
alkej-908	16	34	.	.	PUNCT
alkej-908	17	1	the	the	DET
alkej-908	17	2	findings	finding	NOUN
alkej-908	17	3	constitute	constitute	VERB
alkej-908	17	4	important	important	ADJ
alkej-908	17	5	tipping	tipping	NOUN
alkej-908	17	6	point	point	NOUN
alkej-908	17	7	for	for	ADP
alkej-908	17	8	those	those	DET
alkej-908	17	9	companies	company	NOUN
alkej-908	17	10	that	that	PRON
alkej-908	17	11	aim	aim	VERB
alkej-908	17	12	to	to	PART
alkej-908	17	13	implement	implement	VERB
alkej-908	17	14	a	a	DET
alkej-908	17	15	solution	solution	NOUN
alkej-908	17	16	for	for	ADP
alkej-908	17	17	predictive	predictive	ADJ
alkej-908	17	18	maintenance	maintenance	NOUN
alkej-908	17	19	with	with	ADP
alkej-908	17	20	the	the	DET
alkej-908	17	21	knn	knn	PROPN
alkej-908	17	22	model	model	NOUN
alkej-908	17	23	being	be	AUX
alkej-908	17	24	faster	fast	ADJ
alkej-908	17	25	and	and	CCONJ
alkej-908	17	26	efficient	efficient	ADJ
alkej-908	17	27	at	at	ADP
alkej-908	17	28	the	the	DET
alkej-908	17	29	same	same	ADJ
alkej-908	17	30	time	time	NOUN
alkej-908	17	31	.	.	PUNCT
alkej-908	18	1	keywords	keyword	NOUN
alkej-908	18	2	:	:	PUNCT
alkej-908	18	3	predictive	predictive	ADJ
alkej-908	18	4	maintenance	maintenance	NOUN
alkej-908	18	5	;	;	PUNCT
alkej-908	18	6	machine	machine	NOUN
alkej-908	18	7	learning	learning	NOUN
alkej-908	18	8	algorithm	algorithm	NOUN
alkej-908	18	9	;	;	PUNCT
alkej-908	18	10	random	random	ADJ
alkej-908	18	11	forest	forest	NOUN
alkej-908	18	12	(	(	PUNCT
alkej-908	18	13	rfc	rfc	PROPN
alkej-908	18	14	)	)	PUNCT
alkej-908	18	15	;	;	PUNCT
alkej-908	18	16	support	support	NOUN
alkej-908	18	17	vector	vector	NOUN
alkej-908	18	18	classifier	classifier	NOUN
alkej-908	18	19	(	(	PUNCT
alkej-908	18	20	svc	svc	PROPN
alkej-908	18	21	)	)	PUNCT
alkej-908	18	22	;	;	PUNCT
alkej-908	18	23	k	k	X
alkej-908	18	24	-	-	PUNCT
alkej-908	18	25	nearest	near	ADJ
alkej-908	18	26	neighbors	neighbor	NOUN
alkej-908	18	27	(	(	PUNCT
alkej-908	18	28	knn	knn	PROPN
alkej-908	18	29	)	)	PUNCT
alkej-908	18	30	;	;	PUNCT
alkej-908	18	31	logistic	logistic	ADJ
alkej-908	18	32	regression	regression	NOUN
alkej-908	18	33	(	(	PUNCT
alkej-908	18	34	lr	lr	NOUN
alkej-908	18	35	)	)	PUNCT
alkej-908	18	36	;	;	PUNCT
alkej-908	18	37	xgboost	xgboost	X
alkej-908	18	38	(	(	PUNCT
alkej-908	18	39	xgb	xgb	NUM
alkej-908	18	40	)	)	PUNCT
alkej-908	18	41	1	1	NUM
alkej-908	18	42	.	.	X
alkej-908	18	43	introduction	introduction	NOUN
alkej-908	18	44	the	the	DET
alkej-908	18	45	digitization	digitization	NOUN
alkej-908	18	46	technology	technology	NOUN
alkej-908	18	47	offers	offer	VERB
alkej-908	18	48	lots	lot	NOUN
alkej-908	18	49	of	of	ADP
alkej-908	18	50	perspectives	perspective	NOUN
alkej-908	18	51	,	,	PUNCT
alkej-908	18	52	among	among	ADP
alkej-908	18	53	which	which	PRON
alkej-908	18	54	is	be	AUX
alkej-908	18	55	predictive	predictive	ADJ
alkej-908	18	56	maintenance	maintenance	NOUN
alkej-908	18	57	(	(	PUNCT
alkej-908	18	58	pdm	pdm	PROPN
alkej-908	18	59	)	)	PUNCT
alkej-908	18	60	.	.	PUNCT
alkej-908	19	1	by	by	ADP
alkej-908	19	2	the	the	DET
alkej-908	19	3	means	mean	NOUN
alkej-908	19	4	of	of	ADP
alkej-908	19	5	sensors	sensor	NOUN
alkej-908	19	6	one	one	PRON
alkej-908	19	7	could	could	AUX
alkej-908	19	8	make	make	VERB
alkej-908	19	9	a	a	DET
alkej-908	19	10	difference	difference	NOUN
alkej-908	19	11	between	between	ADP
alkej-908	19	12	the	the	DET
alkej-908	19	13	factors	factor	NOUN
alkej-908	19	14	that	that	PRON
alkej-908	19	15	need	need	VERB
alkej-908	19	16	adjusting	adjust	VERB
alkej-908	19	17	,	,	PUNCT
alkej-908	19	18	the	the	DET
alkej-908	19	19	algorithm	algorithm	NOUN
alkej-908	19	20	is	be	AUX
alkej-908	19	21	able	able	ADJ
alkej-908	19	22	to	to	PART
alkej-908	19	23	translate	translate	VERB
alkej-908	19	24	such	such	ADJ
alkej-908	19	25	imperfections	imperfection	NOUN
alkej-908	19	26	into	into	ADP
alkej-908	19	27	preventative	preventative	ADJ
alkej-908	19	28	measures	measure	NOUN
alkej-908	19	29	and	and	CCONJ
alkej-908	19	30	mailto:drosamah@kecbu.uobaghdad.edu.iq	mailto:drosamah@kecbu.uobaghdad.edu.iq	PROPN
alkej-908	19	31	mailto:ahamad@kecbu.uobaghdad.edu.iq	mailto:ahamad@kecbu.uobaghdad.edu.iq	PROPN
alkej-908	19	32	https://doi.org/10.22153/kej.2024.11.003	https://doi.org/10.22153/kej.2024.11.003	PROPN
alkej-908	19	33	noor	noor	PROPN
alkej-908	19	34	a.	a.	PROPN
alkej-908	19	35	mohammed	mohammed	PROPN
alkej-908	19	36	al	al	PROPN
alkej-908	19	37	-	-	PUNCT
alkej-908	19	38	khwarizmi	khwarizmi	PROPN
alkej-908	19	39	engineering	engineering	NOUN
alkej-908	19	40	journal	journal	PROPN
alkej-908	19	41	,	,	PUNCT
alkej-908	19	42	vol	vol	NOUN
alkej-908	19	43	.	.	PROPN
alkej-908	19	44	20	20	NUM
alkej-908	19	45	,	,	PUNCT
alkej-908	19	46	no.2	no.2	PROPN
alkej-908	19	47	,	,	PUNCT
alkej-908	19	48	p.p	p.p	PROPN
alkej-908	19	49	.	.	NOUN
alkej-908	19	50	2638(2024	2638(2024	NUM
alkej-908	19	51	)	)	PUNCT
alkej-908	19	52	27	27	NUM
alkej-908	19	53	the	the	DET
alkej-908	19	54	issue	issue	NOUN
alkej-908	19	55	could	could	AUX
alkej-908	19	56	be	be	AUX
alkej-908	19	57	fixed	fix	VERB
alkej-908	19	58	either	either	CCONJ
alkej-908	19	59	by	by	ADP
alkej-908	19	60	machine	machine	NOUN
alkej-908	19	61	or	or	CCONJ
alkej-908	19	62	by	by	ADP
alkej-908	19	63	a	a	DET
alkej-908	19	64	human	human	NOUN
alkej-908	19	65	.	.	PUNCT
alkej-908	20	1	these	these	DET
alkej-908	20	2	elements	element	NOUN
alkej-908	20	3	undoubtedly	undoubtedly	ADV
alkej-908	20	4	exert	exert	VERB
alkej-908	20	5	profound	profound	ADJ
alkej-908	20	6	influence	influence	NOUN
alkej-908	20	7	in	in	ADP
alkej-908	20	8	the	the	DET
alkej-908	20	9	mpm	mpm	NOUN
alkej-908	20	10	paradigm	paradigm	NOUN
alkej-908	20	11	[	[	X
alkej-908	20	12	1	1	NUM
alkej-908	20	13	]	]	PUNCT
alkej-908	20	14	.	.	PUNCT
alkej-908	21	1	predictive	predictive	ADJ
alkej-908	21	2	maintenance	maintenance	NOUN
alkej-908	21	3	will	will	AUX
alkej-908	21	4	have	have	VERB
alkej-908	21	5	future	future	ADJ
alkej-908	21	6	maintenance	maintenance	NOUN
alkej-908	21	7	or	or	CCONJ
alkej-908	21	8	a	a	DET
alkej-908	21	9	preventive	preventive	ADJ
alkej-908	21	10	which	which	PRON
alkej-908	21	11	comprises	comprise	VERB
alkej-908	21	12	monitoring	monitoring	NOUN
alkej-908	21	13	of	of	ADP
alkej-908	21	14	system	system	NOUN
alkej-908	21	15	/	/	SYM
alkej-908	21	16	component	component	NOUN
alkej-908	21	17	condition	condition	NOUN
alkej-908	21	18	based	base	VERB
alkej-908	21	19	on	on	ADP
alkej-908	21	20	experience	experience	NOUN
alkej-908	21	21	,	,	PUNCT
alkej-908	21	22	physical	physical	ADJ
alkej-908	21	23	principles	principle	NOUN
alkej-908	21	24	,	,	PUNCT
alkej-908	21	25	or	or	CCONJ
alkej-908	21	26	by	by	ADP
alkej-908	21	27	machine	machine	NOUN
alkej-908	21	28	learning	learn	VERB
alkej-908	21	29	techniques	technique	NOUN
alkej-908	21	30	.	.	PUNCT
alkej-908	22	1	the	the	DET
alkej-908	22	2	target	target	NOUN
alkej-908	22	3	is	be	AUX
alkej-908	22	4	to	to	PART
alkej-908	22	5	acquire	acquire	VERB
alkej-908	22	6	the	the	DET
alkej-908	22	7	locations	location	NOUN
alkej-908	22	8	of	of	ADP
alkej-908	22	9	the	the	DET
alkej-908	22	10	bad	bad	ADJ
alkej-908	22	11	components	component	NOUN
alkej-908	22	12	and	and	CCONJ
alkej-908	22	13	deduct	deduct	VERB
alkej-908	22	14	them	they	PRON
alkej-908	22	15	before	before	SCONJ
alkej-908	22	16	they	they	PRON
alkej-908	22	17	are	be	AUX
alkej-908	22	18	broken	break	VERB
alkej-908	22	19	down	down	ADP
alkej-908	22	20	which	which	PRON
alkej-908	22	21	results	result	VERB
alkej-908	22	22	into	into	ADP
alkej-908	22	23	the	the	DET
alkej-908	22	24	system	system	NOUN
alkej-908	22	25	being	be	AUX
alkej-908	22	26	offline	offline	ADJ
alkej-908	22	27	for	for	ADP
alkej-908	22	28	a	a	DET
alkej-908	22	29	shorter	short	ADJ
alkej-908	22	30	duration	duration	NOUN
alkej-908	22	31	of	of	ADP
alkej-908	22	32	time	time	NOUN
alkej-908	22	33	.	.	PUNCT
alkej-908	23	1	smart	smart	ADJ
alkej-908	23	2	,	,	PUNCT
alkej-908	23	3	monitoring	monitoring	NOUN
alkej-908	23	4	-	-	PUNCT
alkej-908	23	5	based	base	VERB
alkej-908	23	6	maintenance	maintenance	NOUN
alkej-908	23	7	(	(	PUNCT
alkej-908	23	8	in	in	ADP
alkej-908	23	9	fact	fact	NOUN
alkej-908	23	10	predictive	predictive	ADJ
alkej-908	23	11	maintenance	maintenance	NOUN
alkej-908	23	12	)	)	PUNCT
alkej-908	23	13	is	be	AUX
alkej-908	23	14	seen	see	VERB
alkej-908	23	15	as	as	ADP
alkej-908	23	16	a	a	DET
alkej-908	23	17	sustainable	sustainable	ADJ
alkej-908	23	18	and	and	CCONJ
alkej-908	23	19	affordable	affordable	ADJ
alkej-908	23	20	solution	solution	NOUN
alkej-908	23	21	to	to	PART
alkej-908	23	22	increase	increase	VERB
alkej-908	23	23	availability	availability	NOUN
alkej-908	23	24	and	and	CCONJ
alkej-908	23	25	the	the	DET
alkej-908	23	26	amount	amount	NOUN
alkej-908	23	27	of	of	ADP
alkej-908	23	28	time	time	NOUN
alkej-908	23	29	that	that	PRON
alkej-908	23	30	equipment	equipment	NOUN
alkej-908	23	31	can	can	AUX
alkej-908	23	32	perform	perform	VERB
alkej-908	23	33	in	in	ADP
alkej-908	23	34	the	the	DET
alkej-908	23	35	different	different	ADJ
alkej-908	23	36	industry	industry	NOUN
alkej-908	23	37	sectors	sector	NOUN
alkej-908	23	38	.	.	PUNCT
alkej-908	24	1	prognostics	prognostic	NOUN
alkej-908	24	2	describe	describe	VERB
alkej-908	24	3	the	the	DET
alkej-908	24	4	process	process	NOUN
alkej-908	24	5	of	of	ADP
alkej-908	24	6	determining	determine	VERB
alkej-908	24	7	the	the	DET
alkej-908	24	8	predictable	predictable	ADJ
alkej-908	24	9	functioning	functioning	NOUN
alkej-908	24	10	of	of	ADP
alkej-908	24	11	the	the	DET
alkej-908	24	12	system	system	NOUN
alkej-908	24	13	or	or	CCONJ
alkej-908	24	14	its	its	PRON
alkej-908	24	15	components	component	NOUN
alkej-908	24	16	in	in	ADP
alkej-908	24	17	the	the	DET
alkej-908	24	18	future	future	NOUN
alkej-908	24	19	,	,	PUNCT
alkej-908	24	20	depending	depend	VERB
alkej-908	24	21	on	on	ADP
alkej-908	24	22	their	their	PRON
alkej-908	24	23	current	current	ADJ
alkej-908	24	24	state	state	NOUN
alkej-908	24	25	of	of	ADP
alkej-908	24	26	health	health	NOUN
alkej-908	24	27	.	.	PUNCT
alkej-908	25	1	during	during	ADP
alkej-908	25	2	the	the	DET
alkej-908	25	3	predictive	predictive	ADJ
alkej-908	25	4	maintenance	maintenance	NOUN
alkej-908	25	5	method	method	NOUN
alkej-908	25	6	development	development	NOUN
alkej-908	25	7	,	,	PUNCT
alkej-908	25	8	this	this	DET
alkej-908	25	9	model	model	NOUN
alkej-908	25	10	will	will	AUX
alkej-908	25	11	play	play	VERB
alkej-908	25	12	a	a	DET
alkej-908	25	13	crucial	crucial	ADJ
alkej-908	25	14	role	role	NOUN
alkej-908	25	15	,	,	PUNCT
alkej-908	25	16	being	be	AUX
alkej-908	25	17	the	the	DET
alkej-908	25	18	cornerstone	cornerstone	NOUN
alkej-908	25	19	.	.	PUNCT
alkej-908	26	1	the	the	DET
alkej-908	26	2	use	use	NOUN
alkej-908	26	3	of	of	ADP
alkej-908	26	4	predictive	predictive	ADJ
alkej-908	26	5	maintenance	maintenance	NOUN
alkej-908	26	6	and	and	CCONJ
alkej-908	26	7	prognosistic	prognosistic	ADJ
alkej-908	26	8	models	model	NOUN
alkej-908	26	9	greatly	greatly	ADV
alkej-908	26	10	extends	extend	VERB
alkej-908	26	11	and	and	CCONJ
alkej-908	26	12	is	be	AUX
alkej-908	26	13	seen	see	VERB
alkej-908	26	14	in	in	ADP
alkej-908	26	15	different	different	ADJ
alkej-908	26	16	kind	kind	NOUN
alkej-908	26	17	of	of	ADP
alkej-908	26	18	industry	industry	NOUN
alkej-908	26	19	environments	environment	NOUN
alkej-908	26	20	,	,	PUNCT
alkej-908	26	21	for	for	ADP
alkej-908	26	22	example	example	NOUN
alkej-908	26	23	electronics	electronic	NOUN
alkej-908	26	24	,	,	PUNCT
alkej-908	26	25	aerospace	aerospace	NOUN
alkej-908	26	26	,	,	PUNCT
alkej-908	26	27	automotive	automotive	ADJ
alkej-908	26	28	and	and	CCONJ
alkej-908	26	29	industrial	industrial	ADJ
alkej-908	26	30	machinery	machinery	NOUN
alkej-908	26	31	,	,	PUNCT
alkej-908	26	32	with	with	ADP
alkej-908	26	33	the	the	DET
alkej-908	26	34	number	number	NOUN
alkej-908	26	35	of	of	ADP
alkej-908	26	36	applications	application	NOUN
alkej-908	26	37	growing	grow	VERB
alkej-908	26	38	rapidly	rapidly	ADV
alkej-908	26	39	[	[	X
alkej-908	26	40	2	2	NUM
alkej-908	26	41	]	]	PUNCT
alkej-908	26	42	.	.	PUNCT
alkej-908	27	1	there	there	PRON
alkej-908	27	2	exist	exist	VERB
alkej-908	27	3	two	two	NUM
alkej-908	27	4	primary	primary	ADJ
alkej-908	27	5	classes	class	NOUN
alkej-908	27	6	of	of	ADP
alkej-908	27	7	pdm	pdm	NOUN
alkej-908	27	8	solutions	solution	NOUN
alkej-908	27	9	:	:	PUNCT
alkej-908	27	10	aimed	aim	VERB
alkej-908	27	11	at	at	ADP
alkej-908	27	12	fundamentally	fundamentally	ADV
alkej-908	27	13	grounded	ground	VERB
alkej-908	27	14	physical	physical	ADJ
alkej-908	27	15	concepts	concept	NOUN
alkej-908	27	16	and	and	CCONJ
alkej-908	27	17	learning	learn	VERB
alkej-908	27	18	(	(	PUNCT
alkej-908	27	19	with	with	ADP
alkej-908	27	20	machine	machine	NOUN
alkej-908	27	21	-	-	PUNCT
alkej-908	27	22	based	base	VERB
alkej-908	27	23	comprehension	comprehension	NOUN
alkej-908	27	24	methods	method	NOUN
alkej-908	27	25	)	)	PUNCT
alkej-908	27	26	.	.	PUNCT
alkej-908	28	1	on	on	ADP
alkej-908	28	2	one	one	NUM
alkej-908	28	3	hand	hand	NOUN
alkej-908	28	4	,	,	PUNCT
alkej-908	28	5	solving	solve	VERB
alkej-908	28	6	problems	problem	NOUN
alkej-908	28	7	by	by	ADP
alkej-908	28	8	way	way	NOUN
alkej-908	28	9	of	of	ADP
alkej-908	28	10	models	model	NOUN
alkej-908	28	11	requires	require	VERB
alkej-908	28	12	an	an	DET
alkej-908	28	13	exclusive	exclusive	ADJ
alkej-908	28	14	domain	domain	NOUN
alkej-908	28	15	expertise	expertise	NOUN
alkej-908	28	16	,	,	PUNCT
alkej-908	28	17	which	which	PRON
alkej-908	28	18	is	be	AUX
alkej-908	28	19	often	often	ADV
alkej-908	28	20	not	not	PART
alkej-908	28	21	accessible	accessible	ADJ
alkej-908	28	22	.	.	PUNCT
alkej-908	29	1	on	on	ADP
alkej-908	29	2	the	the	DET
alkej-908	29	3	other	other	ADJ
alkej-908	29	4	hand	hand	NOUN
alkej-908	29	5	,	,	PUNCT
alkej-908	29	6	data	datum	NOUN
alkej-908	29	7	based	base	VERB
alkej-908	29	8	approaches	approach	NOUN
alkej-908	29	9	are	be	AUX
alkej-908	29	10	designed	design	VERB
alkej-908	29	11	to	to	PART
alkej-908	29	12	learn	learn	VERB
alkej-908	29	13	predictive	predictive	ADJ
alkej-908	29	14	models	model	NOUN
alkej-908	29	15	from	from	ADP
alkej-908	29	16	data	datum	NOUN
alkej-908	29	17	that	that	PRON
alkej-908	29	18	is	be	AUX
alkej-908	29	19	available	available	ADJ
alkej-908	29	20	,	,	PUNCT
alkej-908	29	21	which	which	PRON
alkej-908	29	22	renders	render	VERB
alkej-908	29	23	them	they	PRON
alkej-908	29	24	applicable	applicable	ADJ
alkej-908	29	25	to	to	ADP
alkej-908	29	26	wide	wide	ADJ
alkej-908	29	27	range	range	NOUN
alkej-908	29	28	of	of	ADP
alkej-908	29	29	problems	problem	NOUN
alkej-908	29	30	in	in	ADP
alkej-908	29	31	pdm	pdm	PROPN
alkej-908	29	32	.	.	PUNCT
alkej-908	30	1	machine	machine	NOUN
alkej-908	30	2	learning	learning	NOUN
alkej-908	30	3	provides	provide	VERB
alkej-908	30	4	tools	tool	NOUN
alkej-908	30	5	for	for	ADP
alkej-908	30	6	algorithms	algorithm	NOUN
alkej-908	30	7	that	that	PRON
alkej-908	30	8	are	be	AUX
alkej-908	30	9	able	able	ADJ
alkej-908	30	10	to	to	PART
alkej-908	30	11	independently	independently	ADV
alkej-908	30	12	handle	handle	VERB
alkej-908	30	13	data	datum	NOUN
alkej-908	30	14	based	base	VERB
alkej-908	30	15	on	on	ADP
alkej-908	30	16	complex	complex	ADJ
alkej-908	30	17	statistics	statistic	NOUN
alkej-908	30	18	for	for	ADP
alkej-908	30	19	data	datum	NOUN
alkej-908	30	20	analysis	analysis	NOUN
alkej-908	30	21	and	and	CCONJ
alkej-908	30	22	forecasting	forecasting	NOUN
alkej-908	30	23	.	.	PUNCT
alkej-908	31	1	the	the	DET
alkej-908	31	2	algorithms	algorithm	NOUN
alkej-908	31	3	in	in	ADP
alkej-908	31	4	the	the	DET
alkej-908	31	5	neural	neural	ADJ
alkej-908	31	6	networks	network	NOUN
alkej-908	31	7	should	should	AUX
alkej-908	31	8	be	be	AUX
alkej-908	31	9	designed	design	VERB
alkej-908	31	10	to	to	PART
alkej-908	31	11	work	work	VERB
alkej-908	31	12	without	without	ADP
alkej-908	31	13	being	be	AUX
alkej-908	31	14	programmed	program	VERB
alkej-908	31	15	explicitly	explicitly	ADV
alkej-908	31	16	for	for	ADP
alkej-908	31	17	a	a	DET
alkej-908	31	18	particular	particular	ADJ
alkej-908	31	19	task	task	NOUN
alkej-908	31	20	;	;	PUNCT
alkej-908	31	21	rather	rather	ADV
alkej-908	31	22	they	they	PRON
alkej-908	31	23	should	should	AUX
alkej-908	31	24	be	be	AUX
alkej-908	31	25	self	self	NOUN
alkej-908	31	26	-	-	PUNCT
alkej-908	31	27	learning	learning	NOUN
alkej-908	31	28	and	and	CCONJ
alkej-908	31	29	autonomous	autonomous	ADJ
alkej-908	31	30	.	.	PUNCT
alkej-908	32	1	these	these	DET
alkej-908	32	2	algorithms	algorithm	NOUN
alkej-908	32	3	should	should	AUX
alkej-908	32	4	be	be	AUX
alkej-908	32	5	able	able	ADJ
alkej-908	32	6	to	to	PART
alkej-908	32	7	authentically	authentically	ADV
alkej-908	32	8	acquire	acquire	VERB
alkej-908	32	9	insights	insight	NOUN
alkej-908	32	10	from	from	ADP
alkej-908	32	11	the	the	DET
alkej-908	32	12	data	datum	NOUN
alkej-908	32	13	provided	provide	VERB
alkej-908	32	14	and	and	CCONJ
alkej-908	32	15	generate	generate	VERB
alkej-908	32	16	accurate	accurate	ADJ
alkej-908	32	17	predictions	prediction	NOUN
alkej-908	32	18	.	.	PUNCT
alkej-908	33	1	by	by	ADP
alkej-908	33	2	the	the	DET
alkej-908	33	3	same	same	ADJ
alkej-908	33	4	token	token	NOUN
alkej-908	33	5	,	,	PUNCT
alkej-908	33	6	machine	machine	NOUN
alkej-908	33	7	learning	learning	NOUN
alkej-908	33	8	has	have	AUX
alkej-908	33	9	suddenly	suddenly	ADV
alkej-908	33	10	become	become	VERB
alkej-908	33	11	a	a	DET
alkej-908	33	12	practical	practical	ADJ
alkej-908	33	13	tool	tool	NOUN
alkej-908	33	14	not	not	PART
alkej-908	33	15	only	only	ADV
alkej-908	33	16	in	in	ADP
alkej-908	33	17	the	the	DET
alkej-908	33	18	computer	computer	NOUN
alkej-908	33	19	science	science	NOUN
alkej-908	33	20	field	field	NOUN
alkej-908	33	21	,	,	PUNCT
alkej-908	33	22	but	but	CCONJ
alkej-908	33	23	also	also	ADV
alkej-908	33	24	other	other	ADJ
alkej-908	33	25	professions	profession	NOUN
alkej-908	33	26	(	(	PUNCT
alkej-908	33	27	people	people	NOUN
alkej-908	33	28	begin	begin	VERB
alkej-908	33	29	to	to	PART
alkej-908	33	30	utilize	utilize	VERB
alkej-908	33	31	these	these	DET
alkej-908	33	32	tools	tool	NOUN
alkej-908	33	33	to	to	PART
alkej-908	33	34	achieve	achieve	VERB
alkej-908	33	35	their	their	PRON
alkej-908	33	36	own	own	ADJ
alkej-908	33	37	goals	goal	NOUN
alkej-908	33	38	)	)	PUNCT
alkej-908	34	1	[	[	X
alkej-908	34	2	3	3	NUM
alkej-908	34	3	]	]	PUNCT
alkej-908	34	4	.	.	PUNCT
alkej-908	35	1	from	from	ADP
alkej-908	35	2	the	the	DET
alkej-908	35	3	maintenance	maintenance	NOUN
alkej-908	35	4	perspectives	perspective	NOUN
alkej-908	35	5	,	,	PUNCT
alkej-908	35	6	the	the	DET
alkej-908	35	7	predictive	predictive	ADJ
alkej-908	35	8	maintenance	maintenance	NOUN
alkej-908	35	9	with	with	ADP
alkej-908	35	10	the	the	DET
alkej-908	35	11	spotlight	spotlight	NOUN
alkej-908	35	12	on	on	ADP
alkej-908	35	13	machine	machine	NOUN
alkej-908	35	14	learning	learning	NOUN
alkej-908	35	15	that	that	PRON
alkej-908	35	16	is	be	AUX
alkej-908	35	17	an	an	DET
alkej-908	35	18	important	important	ADJ
alkej-908	35	19	driver	driver	NOUN
alkej-908	35	20	in	in	ADP
alkej-908	35	21	the	the	DET
alkej-908	35	22	industry	industry	NOUN
alkej-908	35	23	for	for	ADP
alkej-908	35	24	reaching	reach	VERB
alkej-908	35	25	performance	performance	NOUN
alkej-908	35	26	and	and	CCONJ
alkej-908	35	27	cutting	cut	VERB
alkej-908	35	28	the	the	DET
alkej-908	35	29	costs	cost	NOUN
alkej-908	35	30	related	relate	VERB
alkej-908	35	31	to	to	ADP
alkej-908	35	32	the	the	DET
alkej-908	35	33	downtime	downtime	NOUN
alkej-908	35	34	is	be	AUX
alkej-908	35	35	the	the	DET
alkej-908	35	36	top	top	ADJ
alkej-908	35	37	tool	tool	NOUN
alkej-908	35	38	for	for	ADP
alkej-908	35	39	raising	raise	VERB
alkej-908	35	40	reliability	reliability	NOUN
alkej-908	35	41	of	of	ADP
alkej-908	35	42	machines	machine	NOUN
alkej-908	35	43	.	.	PUNCT
alkej-908	36	1	predictive	predictive	ADJ
alkej-908	36	2	maintenance	maintenance	NOUN
alkej-908	36	3	includes	include	VERB
alkej-908	36	4	identification	identification	NOUN
alkej-908	36	5	of	of	ADP
alkej-908	36	6	equipment	equipment	NOUN
alkej-908	36	7	failures	failure	NOUN
alkej-908	36	8	upfront	upfront	VERB
alkej-908	36	9	and	and	CCONJ
alkej-908	36	10	stopping	stop	VERB
alkej-908	36	11	unexplainable	unexplainable	ADJ
alkej-908	36	12	downtime	downtime	NOUN
alkej-908	36	13	using	use	VERB
alkej-908	36	14	data	datum	NOUN
alkej-908	36	15	analyze	analyze	NOUN
alkej-908	36	16	features	feature	NOUN
alkej-908	36	17	from	from	ADP
alkej-908	36	18	various	various	ADJ
alkej-908	36	19	sources	source	NOUN
alkej-908	36	20	such	such	ADJ
alkej-908	36	21	as	as	ADP
alkej-908	36	22	sensors	sensor	NOUN
alkej-908	36	23	,	,	PUNCT
alkej-908	36	24	historical	historical	ADJ
alkej-908	36	25	maintenance	maintenance	NOUN
alkej-908	36	26	records	record	NOUN
alkej-908	36	27	,	,	PUNCT
alkej-908	36	28	and	and	CCONJ
alkej-908	36	29	operation	operation	NOUN
alkej-908	36	30	records	record	NOUN
alkej-908	36	31	.	.	PUNCT
alkej-908	37	1	the	the	DET
alkej-908	37	2	machine	machine	NOUN
alkej-908	37	3	learning	learn	VERB
alkej-908	37	4	application	application	NOUN
alkej-908	37	5	has	have	VERB
alkej-908	37	6	a	a	DET
alkej-908	37	7	crucial	crucial	ADJ
alkej-908	37	8	role	role	NOUN
alkej-908	37	9	in	in	ADP
alkej-908	37	10	the	the	DET
alkej-908	37	11	predictive	predictive	ADJ
alkej-908	37	12	maintenance	maintenance	NOUN
alkej-908	37	13	and	and	CCONJ
alkej-908	37	14	automatically	automatically	ADV
alkej-908	37	15	reveals	reveal	VERB
alkej-908	37	16	the	the	DET
alkej-908	37	17	mistakes	mistake	NOUN
alkej-908	37	18	in	in	ADP
alkej-908	37	19	the	the	DET
alkej-908	37	20	data	datum	NOUN
alkej-908	37	21	that	that	PRON
alkej-908	37	22	is	be	AUX
alkej-908	37	23	missing	missing	ADJ
alkej-908	37	24	and	and	CCONJ
alkej-908	37	25	defective	defective	ADJ
alkej-908	37	26	thus	thus	ADV
alkej-908	37	27	making	make	VERB
alkej-908	37	28	the	the	DET
alkej-908	37	29	identification	identification	NOUN
alkej-908	37	30	of	of	ADP
alkej-908	37	31	the	the	DET
alkej-908	37	32	possible	possible	ADJ
alkej-908	37	33	problems	problem	NOUN
alkej-908	37	34	before	before	SCONJ
alkej-908	37	35	they	they	PRON
alkej-908	37	36	can	can	AUX
alkej-908	37	37	escalate	escalate	VERB
alkej-908	37	38	much	much	ADV
alkej-908	37	39	easier	easy	ADJ
alkej-908	37	40	.	.	PUNCT
alkej-908	38	1	the	the	DET
alkej-908	38	2	historical	historical	ADJ
alkej-908	38	3	data	datum	NOUN
alkej-908	38	4	can	can	AUX
alkej-908	38	5	be	be	AUX
alkej-908	38	6	used	use	VERB
alkej-908	38	7	by	by	ADP
alkej-908	38	8	machine	machine	NOUN
alkej-908	38	9	learning	learning	NOUN
alkej-908	38	10	models	model	NOUN
alkej-908	38	11	to	to	PART
alkej-908	38	12	detect	detect	VERB
alkej-908	38	13	some	some	DET
alkej-908	38	14	predictive	predictive	ADJ
alkej-908	38	15	behaviours	behaviour	NOUN
alkej-908	38	16	in	in	ADP
alkej-908	38	17	equipment	equipment	NOUN
alkej-908	38	18	like	like	ADP
alkej-908	38	19	impending	impending	ADJ
alkej-908	38	20	failure	failure	NOUN
alkej-908	38	21	.	.	PUNCT
alkej-908	39	1	similarly	similarly	ADV
alkej-908	39	2	,	,	PUNCT
alkej-908	39	3	these	these	DET
alkej-908	39	4	models	model	NOUN
alkej-908	39	5	can	can	AUX
alkej-908	39	6	predict	predict	VERB
alkej-908	39	7	the	the	DET
alkej-908	39	8	length	length	NOUN
alkej-908	39	9	of	of	ADP
alkej-908	39	10	time	time	NOUN
alkej-908	39	11	that	that	PRON
alkej-908	39	12	machine	machine	NOUN
alkej-908	39	13	will	will	AUX
alkej-908	39	14	work	work	VERB
alkej-908	39	15	and	and	CCONJ
alkej-908	39	16	give	give	VERB
alkej-908	39	17	the	the	DET
alkej-908	39	18	commuters	commuter	NOUN
alkej-908	39	19	heads	head	NOUN
alkej-908	39	20	-	-	PUNCT
alkej-908	39	21	up	up	NOUN
alkej-908	39	22	when	when	SCONJ
alkej-908	39	23	equipment	equipment	NOUN
alkej-908	39	24	is	be	AUX
alkej-908	39	25	getting	get	VERB
alkej-908	39	26	dangerously	dangerously	ADV
alkej-908	39	27	close	close	ADJ
alkej-908	39	28	to	to	ADP
alkej-908	39	29	its	its	PRON
alkej-908	39	30	failure	failure	NOUN
alkej-908	39	31	threshold	threshold	NOUN
alkej-908	39	32	,	,	PUNCT
alkej-908	39	33	allowing	allow	VERB
alkej-908	39	34	team	team	NOUN
alkej-908	39	35	to	to	PART
alkej-908	39	36	fix	fix	VERB
alkej-908	39	37	it	it	PRON
alkej-908	39	38	before	before	SCONJ
alkej-908	39	39	that	that	PRON
alkej-908	39	40	happens	happen	VERB
alkej-908	39	41	.	.	PUNCT
alkej-908	40	1	through	through	ADP
alkej-908	40	2	predictive	predictive	ADJ
alkej-908	40	3	maintenance	maintenance	NOUN
alkej-908	40	4	which	which	PRON
alkej-908	40	5	is	be	AUX
alkej-908	40	6	based	base	VERB
alkej-908	40	7	on	on	ADP
alkej-908	40	8	machine	machine	NOUN
alkej-908	40	9	learning	learning	NOUN
alkej-908	40	10	techniques	technique	NOUN
alkej-908	40	11	,	,	PUNCT
alkej-908	40	12	the	the	DET
alkej-908	40	13	giant	giant	NOUN
alkej-908	40	14	saving	saving	NOUN
alkej-908	40	15	is	be	AUX
alkej-908	40	16	being	be	AUX
alkej-908	40	17	achieved	achieve	VERB
alkej-908	40	18	by	by	ADP
alkej-908	40	19	way	way	NOUN
alkej-908	40	20	of	of	ADP
alkej-908	40	21	decreasing	decrease	VERB
alkej-908	40	22	the	the	DET
alkej-908	40	23	frequency	frequency	NOUN
alkej-908	40	24	and	and	CCONJ
alkej-908	40	25	duration	duration	NOUN
alkej-908	40	26	of	of	ADP
alkej-908	40	27	equipment	equipment	NOUN
alkej-908	40	28	breakdowns	breakdown	NOUN
alkej-908	40	29	,	,	PUNCT
alkej-908	40	30	improving	improve	VERB
alkej-908	40	31	efficient	efficient	ADJ
alkej-908	40	32	performance	performance	NOUN
alkej-908	40	33	and	and	CCONJ
alkej-908	40	34	prolonging	prolong	VERB
alkej-908	40	35	in	in	ADP
alkej-908	40	36	-	-	PUNCT
alkej-908	40	37	service	service	NOUN
alkej-908	40	38	life	life	NOUN
alkej-908	40	39	of	of	ADP
alkej-908	40	40	equipment	equipment	NOUN
alkej-908	40	41	.	.	PUNCT
alkej-908	41	1	in	in	ADP
alkej-908	41	2	addition	addition	NOUN
alkej-908	41	3	to	to	ADP
alkej-908	41	4	this	this	PRON
alkej-908	41	5	,	,	PUNCT
alkej-908	41	6	it	it	PRON
alkej-908	41	7	supports	support	VERB
alkej-908	41	8	maintenance	maintenance	NOUN
alkej-908	41	9	teams	team	NOUN
alkej-908	41	10	to	to	PART
alkej-908	41	11	choose	choose	VERB
alkej-908	41	12	the	the	DET
alkej-908	41	13	areas	area	NOUN
alkej-908	41	14	that	that	PRON
alkej-908	41	15	require	require	VERB
alkej-908	41	16	their	their	PRON
alkej-908	41	17	attention	attention	NOUN
alkej-908	41	18	instead	instead	ADV
alkej-908	41	19	of	of	ADP
alkej-908	41	20	the	the	DET
alkej-908	41	21	ones	one	NOUN
alkej-908	41	22	that	that	PRON
alkej-908	41	23	are	be	AUX
alkej-908	41	24	routine	routine	ADJ
alkej-908	41	25	like	like	ADP
alkej-908	41	26	the	the	DET
alkej-908	41	27	routine	routine	ADJ
alkej-908	41	28	maintenance	maintenance	NOUN
alkej-908	41	29	tasks	task	NOUN
alkej-908	41	30	[	[	X
alkej-908	41	31	4	4	NUM
alkej-908	41	32	]	]	PUNCT
alkej-908	41	33	.	.	PUNCT
alkej-908	42	1	nowadays	nowadays	ADV
alkej-908	42	2	,	,	PUNCT
alkej-908	42	3	predictive	predictive	ADJ
alkej-908	42	4	maintenance	maintenance	NOUN
alkej-908	42	5	(	(	PUNCT
alkej-908	42	6	pdm	pdm	PROPN
alkej-908	42	7	)	)	PUNCT
alkej-908	42	8	obstacles	obstacle	NOUN
alkej-908	42	9	were	be	AUX
alkej-908	42	10	the	the	DET
alkej-908	42	11	focus	focus	NOUN
alkej-908	42	12	of	of	ADP
alkej-908	42	13	many	many	ADJ
alkej-908	42	14	studies	study	NOUN
alkej-908	42	15	that	that	PRON
alkej-908	42	16	used	use	VERB
alkej-908	42	17	machine	machine	NOUN
alkej-908	42	18	learning	learn	VERB
alkej-908	42	19	techniques	technique	NOUN
alkej-908	42	20	as	as	ADP
alkej-908	42	21	a	a	DET
alkej-908	42	22	tool	tool	NOUN
alkej-908	42	23	.	.	PUNCT
alkej-908	43	1	an	an	DET
alkej-908	43	2	actual	actual	ADJ
alkej-908	43	3	use	use	NOUN
alkej-908	43	4	case	case	NOUN
alkej-908	43	5	from	from	ADP
alkej-908	43	6	the	the	DET
alkej-908	43	7	field	field	NOUN
alkej-908	43	8	of	of	ADP
alkej-908	43	9	pdm	pdm	NOUN
alkej-908	43	10	that	that	PRON
alkej-908	43	11	used	use	VERB
alkej-908	43	12	two	two	NUM
alkej-908	43	13	deep	deep	ADJ
alkej-908	43	14	learning	learning	NOUN
alkej-908	43	15	models	model	NOUN
alkej-908	43	16	was	be	AUX
alkej-908	43	17	provided	provide	VERB
alkej-908	43	18	by	by	ADP
alkej-908	43	19	silvestrin	silvestrin	PROPN
alkej-908	43	20	et	et	PROPN
alkej-908	43	21	al	al	PROPN
alkej-908	43	22	.	.	PUNCT
alkej-908	44	1	[	[	X
alkej-908	44	2	5	5	NUM
alkej-908	44	3	]	]	PUNCT
alkej-908	44	4	that	that	SCONJ
alkej-908	44	5	compared	compare	VERB
alkej-908	44	6	with	with	ADP
alkej-908	44	7	more	more	ADV
alkej-908	44	8	classic	classic	ADJ
alkej-908	44	9	machine	machine	NOUN
alkej-908	44	10	learning	learning	NOUN
alkej-908	44	11	models	model	NOUN
alkej-908	44	12	,	,	PUNCT
alkej-908	44	13	which	which	PRON
alkej-908	44	14	based	base	VERB
alkej-908	44	15	on	on	ADP
alkej-908	44	16	feature	feature	NOUN
alkej-908	44	17	engineering	engineering	NOUN
alkej-908	44	18	.	.	PUNCT
alkej-908	45	1	these	these	DET
alkej-908	45	2	results	result	NOUN
alkej-908	45	3	illustrated	illustrate	VERB
alkej-908	45	4	that	that	SCONJ
alkej-908	45	5	even	even	ADV
alkej-908	45	6	relatively	relatively	ADV
alkej-908	45	7	simple	simple	ADJ
alkej-908	45	8	algorithms	algorithm	NOUN
alkej-908	45	9	can	can	AUX
alkej-908	45	10	do	do	VERB
alkej-908	45	11	learning	learn	VERB
alkej-908	45	12	using	use	VERB
alkej-908	45	13	a	a	DET
alkej-908	45	14	small	small	ADJ
alkej-908	45	15	number	number	NOUN
alkej-908	45	16	of	of	ADP
alkej-908	45	17	examples	example	NOUN
alkej-908	45	18	rather	rather	ADV
alkej-908	45	19	than	than	ADP
alkej-908	45	20	deep	deep	ADJ
alkej-908	45	21	ordering	ordering	NOUN
alkej-908	45	22	models	model	NOUN
alkej-908	45	23	as	as	ADP
alkej-908	45	24	a	a	DET
alkej-908	45	25	result	result	NOUN
alkej-908	45	26	of	of	ADP
alkej-908	45	27	their	their	PRON
alkej-908	45	28	small	small	ADJ
alkej-908	45	29	number	number	NOUN
alkej-908	45	30	of	of	ADP
alkej-908	45	31	parameters	parameter	NOUN
alkej-908	45	32	.	.	PUNCT
alkej-908	46	1	this	this	DET
alkej-908	46	2	outcome	outcome	NOUN
alkej-908	46	3	is	be	AUX
alkej-908	46	4	a	a	DET
alkej-908	46	5	clear	clear	ADJ
alkej-908	46	6	testament	testament	NOUN
alkej-908	46	7	for	for	ADP
alkej-908	46	8	the	the	DET
alkej-908	46	9	applicability	applicability	NOUN
alkej-908	46	10	of	of	ADP
alkej-908	46	11	a	a	DET
alkej-908	46	12	simple	simple	ADJ
alkej-908	46	13	ml	ml	NOUN
alkej-908	46	14	algorithm	algorithm	NOUN
alkej-908	46	15	along	along	ADP
alkej-908	46	16	with	with	ADP
alkej-908	46	17	rudimentary	rudimentary	ADJ
alkej-908	46	18	feature	feature	NOUN
alkej-908	46	19	engineering	engineering	NOUN
alkej-908	46	20	techniques	technique	NOUN
alkej-908	46	21	when	when	SCONJ
alkej-908	46	22	data	datum	NOUN
alkej-908	46	23	availability	availability	NOUN
alkej-908	46	24	turns	turn	VERB
alkej-908	46	25	out	out	ADP
alkej-908	46	26	to	to	PART
alkej-908	46	27	be	be	AUX
alkej-908	46	28	a	a	DET
alkej-908	46	29	hurdle	hurdle	NOUN
alkej-908	46	30	in	in	ADP
alkej-908	46	31	pd	pd	PROPN
alkej-908	46	32	tasks	task	NOUN
alkej-908	46	33	.	.	PUNCT
alkej-908	47	1	also	also	ADV
alkej-908	47	2	,	,	PUNCT
alkej-908	47	3	based	base	VERB
alkej-908	47	4	on	on	ADP
alkej-908	47	5	6	6	NUM
alkej-908	47	6	study	study	NOUN
alkej-908	47	7	by	by	ADP
alkej-908	47	8	ashok	ashok	NOUN
alkej-908	47	9	k	k	PROPN
alkej-908	47	10	pundir	pundir	PROPN
alkej-908	47	11	and	and	CCONJ
alkej-908	47	12	others	other	NOUN
alkej-908	47	13	[	[	X
alkej-908	47	14	6	6	NUM
alkej-908	47	15	]	]	PUNCT
alkej-908	47	16	researchers	researcher	NOUN
alkej-908	47	17	created	create	VERB
alkej-908	47	18	an	an	DET
alkej-908	47	19	intelligent	intelligent	ADJ
alkej-908	47	20	pdm	pdm	NOUN
alkej-908	47	21	framework	framework	NOUN
alkej-908	47	22	for	for	ADP
alkej-908	47	23	aerospace	aerospace	NOUN
alkej-908	47	24	industry	industry	NOUN
alkej-908	47	25	that	that	PRON
alkej-908	47	26	can	can	AUX
alkej-908	47	27	be	be	AUX
alkej-908	47	28	used	use	VERB
alkej-908	47	29	both	both	PRON
alkej-908	47	30	by	by	ADP
alkej-908	47	31	researchers	researcher	NOUN
alkej-908	47	32	and	and	CCONJ
alkej-908	47	33	professionals.through	professionals.through	VERB
alkej-908	47	34	their	their	PRON
alkej-908	47	35	work	work	NOUN
alkej-908	47	36	,	,	PUNCT
alkej-908	47	37	they	they	PRON
alkej-908	47	38	accomplish	accomplish	VERB
alkej-908	47	39	both	both	DET
alkej-908	47	40	specific	specific	ADJ
alkej-908	47	41	functions	function	NOUN
alkej-908	47	42	simultaneously	simultaneously	ADV
alkej-908	47	43	.	.	PUNCT
alkej-908	48	1	first	first	ADV
alkej-908	48	2	,	,	PUNCT
alkej-908	48	3	predictive	predictive	ADJ
alkej-908	48	4	maintenance	maintenance	NOUN
alkej-908	48	5	will	will	AUX
alkej-908	48	6	get	get	VERB
alkej-908	48	7	more	more	ADJ
alkej-908	48	8	attention	attention	NOUN
alkej-908	48	9	as	as	SCONJ
alkej-908	48	10	an	an	DET
alkej-908	48	11	ml	ml	ADV
alkej-908	48	12	-	-	PUNCT
alkej-908	48	13	based	base	VERB
alkej-908	48	14	model	model	NOUN
alkej-908	48	15	will	will	AUX
alkej-908	48	16	be	be	AUX
alkej-908	48	17	developed	develop	VERB
alkej-908	48	18	.	.	PUNCT
alkej-908	49	1	the	the	DET
alkej-908	49	2	data	datum	NOUN
alkej-908	49	3	showed	show	VERB
alkej-908	49	4	that	that	SCONJ
alkej-908	49	5	the	the	DET
alkej-908	49	6	random	random	ADJ
alkej-908	49	7	forest	forest	NOUN
alkej-908	49	8	model	model	NOUN
alkej-908	49	9	outperformed	outperform	VERB
alkej-908	49	10	the	the	DET
alkej-908	49	11	others	other	NOUN
alkej-908	49	12	,	,	PUNCT
alkej-908	49	13	the	the	DET
alkej-908	49	14	model	model	NOUN
alkej-908	49	15	could	could	AUX
alkej-908	49	16	correctly	correctly	ADV
alkej-908	49	17	predict	predict	VERB
alkej-908	49	18	ttf	ttf	NOUN
alkej-908	49	19	by	by	ADP
alkej-908	49	20	±28	±28	PUNCT
alkej-908	49	21	cycles	cycle	NOUN
alkej-908	49	22	with	with	ADP
alkej-908	49	23	a	a	DET
alkej-908	49	24	small	small	ADJ
alkej-908	49	25	difference	difference	NOUN
alkej-908	49	26	of	of	ADP
alkej-908	49	27	28.7	28.7	NUM
alkej-908	49	28	cycles	cycle	NOUN
alkej-908	49	29	in	in	ADP
alkej-908	49	30	particular	particular	ADJ
alkej-908	49	31	.	.	PUNCT
alkej-908	50	1	the	the	DET
alkej-908	50	2	authors	author	NOUN
alkej-908	50	3	of	of	ADP
alkej-908	50	4	work	work	NOUN
alkej-908	50	5	by	by	ADP
alkej-908	50	6	shing	shing	PROPN
alkej-908	50	7	-	-	PUNCT
alkej-908	50	8	jie	jie	PROPN
alkej-908	50	9	pan	pan	PROPN
alkej-908	50	10	et.al	et.al	PROPN
alkej-908	50	11	.	.	PUNCT
alkej-908	51	1	[	[	X
alkej-908	51	2	7	7	X
alkej-908	51	3	]	]	PUNCT
alkej-908	51	4	offered	offer	VERB
alkej-908	51	5	a	a	DET
alkej-908	51	6	technique	technique	NOUN
alkej-908	51	7	of	of	ADP
alkej-908	51	8	developing	develop	VERB
alkej-908	51	9	regression	regression	NOUN
alkej-908	51	10	model	model	NOUN
alkej-908	51	11	for	for	ADP
alkej-908	51	12	the	the	DET
alkej-908	51	13	noor	noor	PROPN
alkej-908	51	14	a.	a.	PROPN
alkej-908	51	15	mohammed	mohammed	PROPN
alkej-908	51	16	al	al	PROPN
alkej-908	51	17	-	-	PUNCT
alkej-908	51	18	khwarizmi	khwarizmi	PROPN
alkej-908	51	19	engineering	engineering	NOUN
alkej-908	51	20	journal	journal	PROPN
alkej-908	51	21	,	,	PUNCT
alkej-908	51	22	vol	vol	NOUN
alkej-908	51	23	.	.	PROPN
alkej-908	51	24	20	20	NUM
alkej-908	51	25	,	,	PUNCT
alkej-908	51	26	no.2	no.2	PROPN
alkej-908	51	27	,	,	PUNCT
alkej-908	51	28	p.p	p.p	PROPN
alkej-908	51	29	.	.	NOUN
alkej-908	51	30	2638(2024	2638(2024	NUM
alkej-908	51	31	)	)	PUNCT
alkej-908	51	32	28	28	NUM
alkej-908	51	33	super	super	ADJ
alkej-908	51	34	-	-	ADJ
alkej-908	51	35	critical	critical	ADJ
alkej-908	51	36	ultra	ultra	ADJ
alkej-908	51	37	-	-	ADJ
alkej-908	51	38	pressure	pressure	ADJ
alkej-908	51	39	chemical	chemical	NOUN
alkej-908	51	40	reactor	reactor	NOUN
alkej-908	51	41	having	have	VERB
alkej-908	51	42	a	a	DET
alkej-908	51	43	bearing	bearing	NOUN
alkej-908	51	44	with	with	ADP
alkej-908	51	45	prediction	prediction	NOUN
alkej-908	51	46	on	on	ADP
alkej-908	51	47	health	health	NOUN
alkej-908	51	48	.	.	PUNCT
alkej-908	52	1	this	this	DET
alkej-908	52	2	mode	mode	NOUN
alkej-908	52	3	is	be	AUX
alkej-908	52	4	based	base	VERB
alkej-908	52	5	on	on	ADP
alkej-908	52	6	a	a	DET
alkej-908	52	7	criteria	criterion	NOUN
alkej-908	52	8	function	function	NOUN
alkej-908	52	9	referred	refer	VERB
alkej-908	52	10	to	to	ADP
alkej-908	52	11	as	as	ADP
alkej-908	52	12	piecewise	piecewise	NOUN
alkej-908	52	13	linear	linear	NOUN
alkej-908	52	14	remaining	remain	VERB
alkej-908	52	15	useful	useful	ADJ
alkej-908	52	16	life	life	NOUN
alkej-908	52	17	(	(	PUNCT
alkej-908	52	18	plrul	plrul	NOUN
alkej-908	52	19	)	)	PUNCT
alkej-908	52	20	,	,	PUNCT
alkej-908	52	21	which	which	PRON
alkej-908	52	22	is	be	AUX
alkej-908	52	23	that	that	SCONJ
alkej-908	52	24	estimates	estimate	NOUN
alkej-908	52	25	are	be	AUX
alkej-908	52	26	made	make	VERB
alkej-908	52	27	from	from	ADP
alkej-908	52	28	machine	machine	NOUN
alkej-908	52	29	learning	learn	VERB
alkej-908	52	30	regression	regression	NOUN
alkej-908	52	31	techniques	technique	NOUN
alkej-908	52	32	using	use	VERB
alkej-908	52	33	data	datum	NOUN
alkej-908	52	34	from	from	ADP
alkej-908	52	35	acceleration	acceleration	NOUN
alkej-908	52	36	and	and	CCONJ
alkej-908	52	37	three	three	NUM
alkej-908	52	38	-	-	PUNCT
alkej-908	52	39	phased	phase	VERB
alkej-908	52	40	motor	motor	NOUN
alkej-908	52	41	current	current	NOUN
alkej-908	52	42	(	(	PUNCT
alkej-908	52	43	a	a	DET
alkej-908	52	44	/	/	SYM
alkej-908	52	45	m	m	NOUN
alkej-908	52	46	)	)	PUNCT
alkej-908	52	47	datasets.chaitali	datasets.chaitali	PROPN
alkej-908	52	48	r.	r.	PROPN
alkej-908	52	49	patil	patil	PROPN
alkej-908	52	50	et	et	PROPN
alkej-908	52	51	.	.	PUNCT
alkej-908	53	1	al	al	PROPN
alkej-908	54	1	[	[	X
alkej-908	54	2	8	8	NUM
alkej-908	54	3	]	]	PUNCT
alkej-908	54	4	to	to	PART
alkej-908	54	5	start	start	VERB
alkej-908	54	6	,	,	PUNCT
alkej-908	54	7	information	information	NOUN
alkej-908	54	8	on	on	ADP
alkej-908	54	9	machine	machine	NOUN
alkej-908	54	10	health	health	NOUN
alkej-908	54	11	were	be	AUX
alkej-908	54	12	used	use	VERB
alkej-908	54	13	to	to	PART
alkej-908	54	14	present	present	VERB
alkej-908	54	15	in	in	ADP
alkej-908	54	16	a	a	DET
alkej-908	54	17	uniform	uniform	ADJ
alkej-908	54	18	output	output	NOUN
alkej-908	54	19	.	.	PUNCT
alkej-908	55	1	such	such	DET
alkej-908	55	2	a	a	DET
alkej-908	55	3	method	method	NOUN
alkej-908	55	4	collected	collect	VERB
alkej-908	55	5	,	,	PUNCT
alkej-908	55	6	stored	store	VERB
alkej-908	55	7	and	and	CCONJ
alkej-908	55	8	sent	send	VERB
alkej-908	55	9	audio	audio	ADJ
alkej-908	55	10	information	information	NOUN
alkej-908	55	11	to	to	ADP
alkej-908	55	12	the	the	DET
alkej-908	55	13	edge	edge	NOUN
alkej-908	55	14	devices	device	NOUN
alkej-908	55	15	and	and	CCONJ
alkej-908	55	16	the	the	DET
alkej-908	55	17	cloud	cloud	NOUN
alkej-908	55	18	seamlessly	seamlessly	ADV
alkej-908	55	19	and	and	CCONJ
alkej-908	55	20	a	a	DET
alkej-908	55	21	highly	highly	ADV
alkej-908	55	22	efficient	efficient	ADJ
alkej-908	55	23	manner	manner	NOUN
alkej-908	55	24	.	.	PUNCT
alkej-908	56	1	through	through	ADP
alkej-908	56	2	this	this	DET
alkej-908	56	3	tool	tool	NOUN
alkej-908	56	4	,	,	PUNCT
alkej-908	56	5	sensor	sensor	NOUN
alkej-908	56	6	data	datum	NOUN
alkej-908	56	7	was	be	AUX
alkej-908	56	8	experienced	experience	VERB
alkej-908	56	9	to	to	PART
alkej-908	56	10	visualize	visualize	VERB
alkej-908	56	11	the	the	DET
alkej-908	56	12	machine	machine	NOUN
alkej-908	56	13	's	's	PART
alkej-908	56	14	condition	condition	NOUN
alkej-908	56	15	,	,	PUNCT
alkej-908	56	16	frequently	frequently	ADV
alkej-908	56	17	generating	generate	VERB
alkej-908	56	18	reports	report	NOUN
alkej-908	56	19	on	on	ADP
alkej-908	56	20	the	the	DET
alkej-908	56	21	machine	machine	NOUN
alkej-908	56	22	's	's	PART
alkej-908	56	23	health	health	NOUN
alkej-908	56	24	.	.	PUNCT
alkej-908	57	1	to	to	PART
alkej-908	57	2	understand	understand	VERB
alkej-908	57	3	when	when	SCONJ
alkej-908	57	4	the	the	DET
alkej-908	57	5	machines	machine	NOUN
alkej-908	57	6	were	be	AUX
alkej-908	57	7	failing	fail	VERB
alkej-908	57	8	they	they	PRON
alkej-908	57	9	would	would	AUX
alkej-908	57	10	use	use	VERB
alkej-908	57	11	prediction	prediction	NOUN
alkej-908	57	12	tools	tool	NOUN
alkej-908	57	13	that	that	PRON
alkej-908	57	14	would	would	AUX
alkej-908	57	15	ring	ring	VERB
alkej-908	57	16	and	and	CCONJ
alkej-908	57	17	informthrough	informthrough	NOUN
alkej-908	57	18	notificationskey	notificationskey	ADJ
alkej-908	57	19	players	player	NOUN
alkej-908	57	20	of	of	ADP
alkej-908	57	21	the	the	DET
alkej-908	57	22	industry.the	industry.the	DET
alkej-908	57	23	proposed	propose	VERB
alkej-908	57	24	approach	approach	NOUN
alkej-908	57	25	aims	aim	VERB
alkej-908	57	26	to	to	PART
alkej-908	57	27	achieve	achieve	VERB
alkej-908	57	28	real	real	ADJ
alkej-908	57	29	-	-	PUNCT
alkej-908	57	30	time	time	NOUN
alkej-908	57	31	predictive	predictive	ADJ
alkej-908	57	32	maintenance	maintenance	NOUN
alkej-908	57	33	for	for	ADP
alkej-908	57	34	industrial	industrial	ADJ
alkej-908	57	35	machines	machine	NOUN
alkej-908	57	36	,	,	PUNCT
alkej-908	57	37	aligning	align	VERB
alkej-908	57	38	with	with	ADP
alkej-908	57	39	the	the	DET
alkej-908	57	40	goals	goal	NOUN
alkej-908	57	41	of	of	ADP
alkej-908	57	42	industry	industry	NOUN
alkej-908	57	43	4.0	4.0	NUM
alkej-908	57	44	,	,	PUNCT
alkej-908	57	45	which	which	PRON
alkej-908	57	46	prioritize	prioritize	VERB
alkej-908	57	47	process	process	NOUN
alkej-908	57	48	optimization	optimization	NOUN
alkej-908	57	49	,	,	PUNCT
alkej-908	57	50	cost	cost	NOUN
alkej-908	57	51	reduction	reduction	NOUN
alkej-908	57	52	,	,	PUNCT
alkej-908	57	53	and	and	CCONJ
alkej-908	57	54	enhanced	enhanced	ADJ
alkej-908	57	55	efficiency	efficiency	NOUN
alkej-908	57	56	as	as	ADP
alkej-908	57	57	primary	primary	ADJ
alkej-908	57	58	drivers	driver	NOUN
alkej-908	57	59	.	.	PUNCT
alkej-908	58	1	mudita	mudita	PROPN
alkej-908	58	2	uppal	uppal	PROPN
alkej-908	58	3	et	et	PROPN
alkej-908	58	4	al	al	PROPN
alkej-908	58	5	.	.	PUNCT
alkej-908	59	1	[	[	X
alkej-908	59	2	9	9	NUM
alkej-908	59	3	]	]	PUNCT
alkej-908	59	4	,	,	PUNCT
alkej-908	59	5	introduced	introduce	VERB
alkej-908	59	6	a	a	DET
alkej-908	59	7	cost	cost	NOUN
alkej-908	59	8	-	-	PUNCT
alkej-908	59	9	effective	effective	ADJ
alkej-908	59	10	and	and	CCONJ
alkej-908	59	11	user	user	NOUN
alkej-908	59	12	-	-	PUNCT
alkej-908	59	13	friendly	friendly	ADJ
alkej-908	59	14	intelligent	intelligent	ADJ
alkej-908	59	15	office	office	NOUN
alkej-908	59	16	system	system	NOUN
alkej-908	59	17	.	.	PUNCT
alkej-908	60	1	their	their	PRON
alkej-908	60	2	approach	approach	NOUN
alkej-908	60	3	is	be	AUX
alkej-908	60	4	suitable	suitable	ADJ
alkej-908	60	5	for	for	ADP
alkej-908	60	6	practical	practical	ADJ
alkej-908	60	7	implementation	implementation	NOUN
alkej-908	60	8	in	in	ADP
alkej-908	60	9	real	real	ADJ
alkej-908	60	10	office	office	NOUN
alkej-908	60	11	environments	environment	NOUN
alkej-908	60	12	,	,	PUNCT
alkej-908	60	13	offering	offer	VERB
alkej-908	60	14	real	real	ADJ
alkej-908	60	15	-	-	PUNCT
alkej-908	60	16	time	time	NOUN
alkej-908	60	17	monitoring	monitoring	NOUN
alkej-908	60	18	of	of	ADP
alkej-908	60	19	office	office	NOUN
alkej-908	60	20	conditions	condition	NOUN
alkej-908	60	21	.	.	PUNCT
alkej-908	61	1	they	they	PRON
alkej-908	61	2	developed	develop	VERB
alkej-908	61	3	an	an	DET
alkej-908	61	4	interactive	interactive	ADJ
alkej-908	61	5	graphical	graphical	ADJ
alkej-908	61	6	user	user	NOUN
alkej-908	61	7	interface	interface	NOUN
alkej-908	61	8	(	(	PUNCT
alkej-908	61	9	gui)-based	gui)-base	VERB
alkej-908	61	10	smartphone	smartphone	NOUN
alkej-908	61	11	application	application	NOUN
alkej-908	61	12	for	for	ADP
alkej-908	61	13	overseeing	oversee	VERB
alkej-908	61	14	the	the	DET
alkej-908	61	15	various	various	ADJ
alkej-908	61	16	appliances	appliance	NOUN
alkej-908	61	17	and	and	CCONJ
alkej-908	61	18	sensors	sensor	NOUN
alkej-908	61	19	integrated	integrate	VERB
alkej-908	61	20	into	into	ADP
alkej-908	61	21	the	the	DET
alkej-908	61	22	smart	smart	ADJ
alkej-908	61	23	office	office	NOUN
alkej-908	61	24	.	.	PUNCT
alkej-908	62	1	these	these	DET
alkej-908	62	2	appliances	appliance	NOUN
alkej-908	62	3	and	and	CCONJ
alkej-908	62	4	sensors	sensor	NOUN
alkej-908	62	5	are	be	AUX
alkej-908	62	6	interconnected	interconnect	VERB
alkej-908	62	7	with	with	ADP
alkej-908	62	8	arduino	arduino	NOUN
alkej-908	62	9	,	,	PUNCT
alkej-908	62	10	which	which	PRON
alkej-908	62	11	transmits	transmit	VERB
alkej-908	62	12	data	datum	NOUN
alkej-908	62	13	to	to	ADP
alkej-908	62	14	a	a	DET
alkej-908	62	15	cloud	cloud	ADJ
alkej-908	62	16	server	server	NOUN
alkej-908	62	17	.	.	PUNCT
alkej-908	63	1	the	the	DET
alkej-908	63	2	collected	collect	VERB
alkej-908	63	3	data	datum	NOUN
alkej-908	63	4	,	,	PUNCT
alkej-908	63	5	originating	originate	VERB
alkej-908	63	6	from	from	ADP
alkej-908	63	7	diverse	diverse	ADJ
alkej-908	63	8	devices	device	NOUN
alkej-908	63	9	(	(	PUNCT
alkej-908	63	10	e.g.	e.g.	ADV
alkej-908	63	11	,	,	PUNCT
alkej-908	63	12	air	air	NOUN
alkej-908	63	13	conditioning	conditioning	NOUN
alkej-908	63	14	,	,	PUNCT
alkej-908	63	15	television	television	NOUN
alkej-908	63	16	,	,	PUNCT
alkej-908	63	17	printer	printer	NOUN
alkej-908	63	18	)	)	PUNCT
alkej-908	63	19	and	and	CCONJ
alkej-908	63	20	sensors	sensor	NOUN
alkej-908	63	21	(	(	PUNCT
alkej-908	63	22	temperature	temperature	NOUN
alkej-908	63	23	,	,	PUNCT
alkej-908	63	24	humidity	humidity	NOUN
alkej-908	63	25	,	,	PUNCT
alkej-908	63	26	fire	fire	NOUN
alkej-908	63	27	,	,	PUNCT
alkej-908	63	28	motion	motion	NOUN
alkej-908	63	29	,	,	PUNCT
alkej-908	63	30	etc	etc	X
alkej-908	63	31	.	.	X
alkej-908	63	32	)	)	PUNCT
alkej-908	63	33	,	,	PUNCT
alkej-908	63	34	is	be	AUX
alkej-908	63	35	continuously	continuously	ADV
alkej-908	63	36	monitored	monitor	VERB
alkej-908	63	37	through	through	ADP
alkej-908	63	38	the	the	DET
alkej-908	63	39	smartphone	smartphone	NOUN
alkej-908	63	40	application	application	NOUN
alkej-908	63	41	and	and	CCONJ
alkej-908	63	42	server	server	NOUN
alkej-908	63	43	to	to	PART
alkej-908	63	44	predict	predict	VERB
alkej-908	63	45	potential	potential	ADJ
alkej-908	63	46	faults	fault	NOUN
alkej-908	63	47	using	use	VERB
alkej-908	63	48	machine	machine	NOUN
alkej-908	63	49	learning	learning	NOUN
alkej-908	63	50	algorithms	algorithm	NOUN
alkej-908	63	51	.	.	PUNCT
alkej-908	64	1	two	two	NUM
alkej-908	64	2	different	different	ADJ
alkej-908	64	3	techniques	technique	NOUN
alkej-908	64	4	,	,	PUNCT
alkej-908	64	5	namely	namely	ADV
alkej-908	64	6	“	"	PUNCT
alkej-908	64	7	k	k	X
alkej-908	64	8	-	-	PUNCT
alkej-908	64	9	nearest	near	ADJ
alkej-908	64	10	neighbors	neighbor	NOUN
alkej-908	64	11	(	(	PUNCT
alkej-908	64	12	knn	knn	PROPN
alkej-908	64	13	)	)	PUNCT
alkej-908	64	14	”	"	PUNCT
alkej-908	64	15	and	and	CCONJ
alkej-908	64	16	“	"	PUNCT
alkej-908	64	17	naive	naive	ADJ
alkej-908	64	18	bayes	bayes	NOUN
alkej-908	64	19	(	(	PUNCT
alkej-908	64	20	nb	nb	NOUN
alkej-908	64	21	)	)	PUNCT
alkej-908	64	22	”	"	PUNCT
alkej-908	64	23	,	,	PUNCT
alkej-908	64	24	were	be	AUX
alkej-908	64	25	applied	apply	VERB
alkej-908	64	26	to	to	ADP
alkej-908	64	27	the	the	DET
alkej-908	64	28	dataset	dataset	NOUN
alkej-908	64	29	.	.	PUNCT
alkej-908	65	1	knn	knn	PROPN
alkej-908	65	2	outperformed	outperform	VERB
alkej-908	65	3	nb	nb	INTJ
alkej-908	65	4	in	in	ADP
alkej-908	65	5	terms	term	NOUN
alkej-908	65	6	of	of	ADP
alkej-908	65	7	accuracy	accuracy	NOUN
alkej-908	65	8	,	,	PUNCT
alkej-908	65	9	recall	recall	NOUN
alkej-908	65	10	,	,	PUNCT
alkej-908	65	11	specificity	specificity	NOUN
alkej-908	65	12	,	,	PUNCT
alkej-908	65	13	and	and	CCONJ
alkej-908	65	14	f1	f1	NOUN
alkej-908	65	15	-	-	PUNCT
alkej-908	65	16	score	score	NOUN
alkej-908	65	17	,	,	PUNCT
alkej-908	65	18	achieving	achieve	VERB
alkej-908	65	19	an	an	DET
alkej-908	65	20	impressive	impressive	ADJ
alkej-908	65	21	accuracy	accuracy	NOUN
alkej-908	65	22	rate	rate	NOUN
alkej-908	65	23	of	of	ADP
alkej-908	65	24	99.63	99.63	NUM
alkej-908	65	25	%	%	NOUN
alkej-908	65	26	,	,	PUNCT
alkej-908	65	27	while	while	SCONJ
alkej-908	65	28	nb	nb	PROPN
alkej-908	65	29	achieved	achieve	VERB
alkej-908	65	30	only	only	ADV
alkej-908	65	31	92.3	92.3	NUM
alkej-908	65	32	%	%	NOUN
alkej-908	65	33	accuracy	accuracy	NOUN
alkej-908	65	34	.	.	PUNCT
alkej-908	66	1	additionally	additionally	ADV
alkej-908	66	2	,	,	PUNCT
alkej-908	66	3	knn	knn	PROPN
alkej-908	66	4	exhibited	exhibit	VERB
alkej-908	66	5	a	a	DET
alkej-908	66	6	specificity	specificity	NOUN
alkej-908	66	7	of	of	ADP
alkej-908	66	8	0.99	0.99	NUM
alkej-908	66	9	compared	compare	VERB
alkej-908	66	10	to	to	ADP
alkej-908	66	11	nb	nb	PROPN
alkej-908	66	12	's	's	PART
alkej-908	66	13	0.83	0.83	NUM
alkej-908	66	14	.	.	PUNCT
alkej-908	67	1	therefore	therefore	ADV
alkej-908	67	2	,	,	PUNCT
alkej-908	67	3	knn	knn	PROPN
alkej-908	67	4	demonstrated	demonstrate	VERB
alkej-908	67	5	superior	superior	ADJ
alkej-908	67	6	performance	performance	NOUN
alkej-908	67	7	over	over	ADP
alkej-908	67	8	nb	nb	NOUN
alkej-908	67	9	in	in	ADP
alkej-908	67	10	this	this	DET
alkej-908	67	11	context	context	NOUN
alkej-908	67	12	.	.	PUNCT
alkej-908	68	1	mounia	mounia	PROPN
alkej-908	68	2	achouch	achouch	PROPN
alkej-908	68	3	et	et	PROPN
alkej-908	68	4	.	.	PUNCT
alkej-908	69	1	al	al	PROPN
alkej-908	70	1	[	[	X
alkej-908	70	2	10	10	NUM
alkej-908	70	3	]	]	PUNCT
alkej-908	70	4	conducted	conduct	VERB
alkej-908	70	5	a	a	DET
alkej-908	70	6	study	study	NOUN
alkej-908	70	7	where	where	SCONJ
alkej-908	70	8	they	they	PRON
alkej-908	70	9	utilized	utilize	VERB
alkej-908	70	10	machine	machine	NOUN
alkej-908	70	11	learning	learn	VERB
alkej-908	70	12	algorithms	algorithm	NOUN
alkej-908	70	13	to	to	PART
alkej-908	70	14	predict	predict	VERB
alkej-908	70	15	failures	failure	NOUN
alkej-908	70	16	and	and	CCONJ
alkej-908	70	17	estimate	estimate	VERB
alkej-908	70	18	the	the	DET
alkej-908	70	19	remaining	remain	VERB
alkej-908	70	20	useful	useful	ADJ
alkej-908	70	21	life	life	NOUN
alkej-908	70	22	(	(	PUNCT
alkej-908	70	23	rul	rul	NOUN
alkej-908	70	24	)	)	PUNCT
alkej-908	70	25	of	of	ADP
alkej-908	70	26	a	a	DET
alkej-908	70	27	ta-48	ta-48	PRON
alkej-908	70	28	multistage	multistage	NOUN
alkej-908	70	29	centrifugal	centrifugal	ADJ
alkej-908	70	30	compressor	compressor	NOUN
alkej-908	70	31	.	.	PUNCT
alkej-908	71	1	their	their	PRON
alkej-908	71	2	main	main	ADJ
alkej-908	71	3	goal	goal	NOUN
alkej-908	71	4	was	be	AUX
alkej-908	71	5	to	to	PART
alkej-908	71	6	reduce	reduce	VERB
alkej-908	71	7	system	system	NOUN
alkej-908	71	8	downtime	downtime	NOUN
alkej-908	71	9	by	by	ADP
alkej-908	71	10	applying	apply	VERB
alkej-908	71	11	a	a	DET
alkej-908	71	12	predictive	predictive	ADJ
alkej-908	71	13	maintenance	maintenance	NOUN
alkej-908	71	14	strategy	strategy	NOUN
alkej-908	71	15	rooted	root	VERB
alkej-908	71	16	in	in	ADP
alkej-908	71	17	industry	industry	NOUN
alkej-908	71	18	4.0	4.0	NUM
alkej-908	71	19	principles	principle	NOUN
alkej-908	71	20	.	.	PUNCT
alkej-908	72	1	to	to	PART
alkej-908	72	2	accomplish	accomplish	VERB
alkej-908	72	3	this	this	PRON
alkej-908	72	4	,	,	PUNCT
alkej-908	72	5	they	they	PRON
alkej-908	72	6	adhered	adhere	VERB
alkej-908	72	7	to	to	ADP
alkej-908	72	8	a	a	DET
alkej-908	72	9	predictive	predictive	ADJ
alkej-908	72	10	maintenance	maintenance	NOUN
alkej-908	72	11	process	process	NOUN
alkej-908	72	12	,	,	PUNCT
alkej-908	72	13	encompassing	encompass	VERB
alkej-908	72	14	data	datum	NOUN
alkej-908	72	15	exploration	exploration	NOUN
alkej-908	72	16	and	and	CCONJ
alkej-908	72	17	preprocessing	preprocessing	NOUN
alkej-908	72	18	to	to	PART
alkej-908	72	19	prepare	prepare	VERB
alkej-908	72	20	the	the	DET
alkej-908	72	21	data	datum	NOUN
alkej-908	72	22	for	for	ADP
alkej-908	72	23	model	model	NOUN
alkej-908	72	24	training	training	NOUN
alkej-908	72	25	.	.	PUNCT
alkej-908	73	1	they	they	PRON
alkej-908	73	2	performed	perform	VERB
alkej-908	73	3	a	a	DET
alkej-908	73	4	thorough	thorough	ADJ
alkej-908	73	5	comparison	comparison	NOUN
alkej-908	73	6	of	of	ADP
alkej-908	73	7	different	different	ADJ
alkej-908	73	8	prediction	prediction	NOUN
alkej-908	73	9	algorithms	algorithm	NOUN
alkej-908	73	10	to	to	PART
alkej-908	73	11	choose	choose	VERB
alkej-908	73	12	the	the	DET
alkej-908	73	13	most	most	ADV
alkej-908	73	14	appropriate	appropriate	ADJ
alkej-908	73	15	one	one	NUM
alkej-908	73	16	,	,	PUNCT
alkej-908	73	17	ultimately	ultimately	ADV
alkej-908	73	18	deciding	decide	VERB
alkej-908	73	19	on	on	ADP
alkej-908	73	20	lstm	lstm	ADJ
alkej-908	73	21	neural	neural	ADJ
alkej-908	73	22	networks	network	NOUN
alkej-908	73	23	.	.	PUNCT
alkej-908	74	1	additionally	additionally	ADV
alkej-908	74	2	,	,	PUNCT
alkej-908	74	3	they	they	PRON
alkej-908	74	4	improved	improve	VERB
alkej-908	74	5	the	the	DET
alkej-908	74	6	model	model	NOUN
alkej-908	74	7	's	's	PART
alkej-908	74	8	performance	performance	NOUN
alkej-908	74	9	by	by	ADP
alkej-908	74	10	regularly	regularly	ADV
alkej-908	74	11	updating	update	VERB
alkej-908	74	12	and	and	CCONJ
alkej-908	74	13	expanding	expand	VERB
alkej-908	74	14	the	the	DET
alkej-908	74	15	dataset	dataset	NOUN
alkej-908	74	16	.	.	PUNCT
alkej-908	75	1	as	as	ADP
alkej-908	75	2	a	a	DET
alkej-908	75	3	result	result	NOUN
alkej-908	75	4	,	,	PUNCT
alkej-908	75	5	the	the	DET
alkej-908	75	6	deployed	deploy	VERB
alkej-908	75	7	model	model	NOUN
alkej-908	75	8	enabled	enable	VERB
alkej-908	75	9	operators	operator	NOUN
alkej-908	75	10	to	to	PART
alkej-908	75	11	foresee	foresee	VERB
alkej-908	75	12	compressor	compressor	NOUN
alkej-908	75	13	failures	failure	NOUN
alkej-908	75	14	and	and	CCONJ
alkej-908	75	15	make	make	VERB
alkej-908	75	16	proactive	proactive	ADJ
alkej-908	75	17	decisions	decision	NOUN
alkej-908	75	18	,	,	PUNCT
alkej-908	75	19	guaranteeing	guarantee	VERB
alkej-908	75	20	minimal	minimal	ADJ
alkej-908	75	21	system	system	NOUN
alkej-908	75	22	downtime	downtime	NOUN
alkej-908	75	23	.	.	PUNCT
alkej-908	76	1	salim	salim	PROPN
alkej-908	76	2	qadir	qadir	PROPN
alkej-908	76	3	and	and	CCONJ
alkej-908	76	4	mohammed	mohammed	PROPN
alkej-908	76	5	hussein	hussein	PROPN
alkej-908	77	1	[	[	X
alkej-908	77	2	11	11	NUM
alkej-908	77	3	]	]	PUNCT
alkej-908	77	4	applied	apply	VERB
alkej-908	77	5	binary	binary	ADJ
alkej-908	77	6	classification	classification	NOUN
alkej-908	77	7	methods	method	NOUN
alkej-908	77	8	for	for	ADP
alkej-908	77	9	intrusion	intrusion	NOUN
alkej-908	77	10	detection	detection	NOUN
alkej-908	77	11	,	,	PUNCT
alkej-908	77	12	employing	employ	VERB
alkej-908	77	13	multiple	multiple	ADJ
alkej-908	77	14	supervised	supervised	ADJ
alkej-908	77	15	machine	machine	NOUN
alkej-908	77	16	learning	learning	NOUN
alkej-908	77	17	algorithms	algorithm	NOUN
alkej-908	77	18	as	as	ADP
alkej-908	77	19	classifiers	classifier	NOUN
alkej-908	77	20	.	.	PUNCT
alkej-908	78	1	they	they	PRON
alkej-908	78	2	assessed	assess	VERB
alkej-908	78	3	the	the	DET
alkej-908	78	4	effectiveness	effectiveness	NOUN
alkej-908	78	5	of	of	ADP
alkej-908	78	6	each	each	DET
alkej-908	78	7	model	model	NOUN
alkej-908	78	8	by	by	ADP
alkej-908	78	9	measuring	measure	VERB
alkej-908	78	10	various	various	ADJ
alkej-908	78	11	metrics	metric	NOUN
alkej-908	78	12	such	such	ADJ
alkej-908	78	13	as	as	ADP
alkej-908	78	14	accuracy	accuracy	NOUN
alkej-908	78	15	,	,	PUNCT
alkej-908	78	16	precision	precision	NOUN
alkej-908	78	17	,	,	PUNCT
alkej-908	78	18	recall	recall	NOUN
alkej-908	78	19	,	,	PUNCT
alkej-908	78	20	f	f	X
alkej-908	78	21	-	-	PUNCT
alkej-908	78	22	score	score	NOUN
alkej-908	78	23	,	,	PUNCT
alkej-908	78	24	error	error	NOUN
alkej-908	78	25	rate	rate	NOUN
alkej-908	78	26	,	,	PUNCT
alkej-908	78	27	true	true	ADJ
alkej-908	78	28	positive	positive	ADJ
alkej-908	78	29	rate	rate	NOUN
alkej-908	78	30	,	,	PUNCT
alkej-908	78	31	false	false	ADJ
alkej-908	78	32	positive	positive	ADJ
alkej-908	78	33	rate	rate	NOUN
alkej-908	78	34	,	,	PUNCT
alkej-908	78	35	and	and	CCONJ
alkej-908	78	36	examining	examine	VERB
alkej-908	78	37	the	the	DET
alkej-908	78	38	confusion	confusion	NOUN
alkej-908	78	39	matrix	matrix	NOUN
alkej-908	78	40	.	.	PUNCT
alkej-908	79	1	most	most	ADJ
alkej-908	79	2	of	of	ADP
alkej-908	79	3	the	the	DET
alkej-908	79	4	current	current	ADJ
alkej-908	79	5	pdm	pdm	NOUN
alkej-908	79	6	studies	study	NOUN
alkej-908	79	7	use	use	VERB
alkej-908	79	8	only	only	ADV
alkej-908	79	9	one	one	NUM
alkej-908	79	10	machine	machine	NOUN
alkej-908	79	11	learning	learning	NOUN
alkej-908	79	12	algorithm	algorithm	NOUN
alkej-908	79	13	,	,	PUNCT
alkej-908	79	14	which	which	PRON
alkej-908	79	15	poses	pose	VERB
alkej-908	79	16	a	a	DET
alkej-908	79	17	challenge	challenge	NOUN
alkej-908	79	18	to	to	ADP
alkej-908	79	19	extrapolating	extrapolate	VERB
alkej-908	79	20	single	single	ADJ
alkej-908	79	21	-	-	PUNCT
alkej-908	79	22	model	model	NOUN
alkej-908	79	23	approaches	approach	NOUN
alkej-908	79	24	to	to	ADP
alkej-908	79	25	real	real	ADJ
alkej-908	79	26	ac	ac	PROPN
alkej-908	79	27	motor	motor	NOUN
alkej-908	79	28	applications	application	NOUN
alkej-908	79	29	.	.	PUNCT
alkej-908	80	1	therefore	therefore	ADV
alkej-908	80	2	,	,	PUNCT
alkej-908	80	3	this	this	DET
alkej-908	80	4	paper	paper	NOUN
alkej-908	80	5	proposes	propose	VERB
alkej-908	80	6	a	a	DET
alkej-908	80	7	pdm	pdm	NOUN
alkej-908	80	8	method	method	NOUN
alkej-908	80	9	that	that	PRON
alkej-908	80	10	uses	use	VERB
alkej-908	80	11	five	five	NUM
alkej-908	80	12	distinct	distinct	ADJ
alkej-908	80	13	machine	machine	NOUN
alkej-908	80	14	learning	learn	VERB
alkej-908	80	15	algorithms	algorithm	NOUN
alkej-908	80	16	,	,	PUNCT
alkej-908	80	17	namely	namely	ADV
alkej-908	80	18	“	"	PUNCT
alkej-908	80	19	random	random	ADJ
alkej-908	80	20	forest	forest	NOUN
alkej-908	80	21	(	(	PUNCT
alkej-908	80	22	rfc	rfc	NOUN
alkej-908	80	23	)	)	PUNCT
alkej-908	80	24	”	"	PUNCT
alkej-908	80	25	,	,	PUNCT
alkej-908	80	26	“	"	PUNCT
alkej-908	80	27	support	support	NOUN
alkej-908	80	28	vector	vector	NOUN
alkej-908	80	29	classifier	classifier	NOUN
alkej-908	80	30	(	(	PUNCT
alkej-908	80	31	svc	svc	PROPN
alkej-908	80	32	)	)	PUNCT
alkej-908	80	33	”	"	PUNCT
alkej-908	80	34	,	,	PUNCT
alkej-908	80	35	“	"	PUNCT
alkej-908	80	36	knearest	knearest	PROPN
alkej-908	80	37	neighbors	neighbor	NOUN
alkej-908	80	38	(	(	PUNCT
alkej-908	80	39	knn	knn	PROPN
alkej-908	80	40	)	)	PUNCT
alkej-908	80	41	”	"	PUNCT
alkej-908	80	42	,	,	PUNCT
alkej-908	80	43	“	"	PUNCT
alkej-908	80	44	logistic	logistic	ADJ
alkej-908	80	45	regression	regression	NOUN
alkej-908	80	46	(	(	PUNCT
alkej-908	80	47	lr	lr	NOUN
alkej-908	80	48	)	)	PUNCT
alkej-908	80	49	”	"	PUNCT
alkej-908	80	50	,	,	PUNCT
alkej-908	80	51	and	and	CCONJ
alkej-908	80	52	“	"	PUNCT
alkej-908	80	53	xgboost	xgboost	X
alkej-908	80	54	(	(	PUNCT
alkej-908	80	55	xgb	xgb	PROPN
alkej-908	80	56	)	)	PUNCT
alkej-908	80	57	”	"	PUNCT
alkej-908	80	58	,	,	PUNCT
alkej-908	80	59	for	for	ADP
alkej-908	80	60	the	the	DET
alkej-908	80	61	purpose	purpose	NOUN
alkej-908	80	62	of	of	ADP
alkej-908	80	63	predicting	predict	VERB
alkej-908	80	64	potential	potential	ADJ
alkej-908	80	65	machine	machine	NOUN
alkej-908	80	66	failures	failure	NOUN
alkej-908	80	67	and	and	CCONJ
alkej-908	80	68	conducting	conduct	VERB
alkej-908	80	69	a	a	DET
alkej-908	80	70	comparative	comparative	ADJ
alkej-908	80	71	analysis	analysis	NOUN
alkej-908	80	72	of	of	ADP
alkej-908	80	73	these	these	DET
alkej-908	80	74	algorithms	algorithm	NOUN
alkej-908	80	75	.	.	PUNCT
alkej-908	81	1	to	to	PART
alkej-908	81	2	assess	assess	VERB
alkej-908	81	3	the	the	DET
alkej-908	81	4	effectiveness	effectiveness	NOUN
alkej-908	81	5	of	of	ADP
alkej-908	81	6	these	these	DET
alkej-908	81	7	machine	machine	NOUN
alkej-908	81	8	learning	learn	VERB
alkej-908	81	9	techniques	technique	NOUN
alkej-908	81	10	in	in	ADP
alkej-908	81	11	a	a	DET
alkej-908	81	12	practical	practical	ADJ
alkej-908	81	13	predictive	predictive	ADJ
alkej-908	81	14	maintenance	maintenance	NOUN
alkej-908	81	15	(	(	PUNCT
alkej-908	81	16	pdm	pdm	NOUN
alkej-908	81	17	)	)	PUNCT
alkej-908	81	18	context	context	NOUN
alkej-908	81	19	,	,	PUNCT
alkej-908	81	20	we	we	PRON
alkej-908	81	21	employed	employ	VERB
alkej-908	81	22	the	the	DET
alkej-908	81	23	ac	ac	PROPN
alkej-908	81	24	motor	motor	NOUN
alkej-908	81	25	condition	condition	NOUN
alkej-908	81	26	monitoring	monitor	VERB
alkej-908	81	27	dataset	dataset	NOUN
alkej-908	81	28	.	.	PUNCT
alkej-908	82	1	our	our	PRON
alkej-908	82	2	approach	approach	NOUN
alkej-908	82	3	involves	involve	VERB
alkej-908	82	4	training	train	VERB
alkej-908	82	5	these	these	DET
alkej-908	82	6	algorithms	algorithm	NOUN
alkej-908	82	7	with	with	ADP
alkej-908	82	8	datasets	dataset	NOUN
alkej-908	82	9	of	of	ADP
alkej-908	82	10	varying	vary	VERB
alkej-908	82	11	sizes	size	NOUN
alkej-908	82	12	,	,	PUNCT
alkej-908	82	13	and	and	CCONJ
alkej-908	82	14	subsequently	subsequently	ADV
alkej-908	82	15	examining	examine	VERB
alkej-908	82	16	how	how	SCONJ
alkej-908	82	17	changes	change	NOUN
alkej-908	82	18	in	in	ADP
alkej-908	82	19	the	the	DET
alkej-908	82	20	size	size	NOUN
alkej-908	82	21	of	of	ADP
alkej-908	82	22	the	the	DET
alkej-908	82	23	training	training	NOUN
alkej-908	82	24	data	datum	NOUN
alkej-908	82	25	impact	impact	VERB
alkej-908	82	26	their	their	PRON
alkej-908	82	27	performance	performance	NOUN
alkej-908	82	28	by	by	ADP
alkej-908	82	29	comparing	compare	VERB
alkej-908	82	30	accuracy	accuracy	NOUN
alkej-908	82	31	curves	curve	NOUN
alkej-908	82	32	on	on	ADP
alkej-908	82	33	the	the	DET
alkej-908	82	34	test	test	NOUN
alkej-908	82	35	data	datum	NOUN
alkej-908	82	36	.	.	PUNCT
alkej-908	83	1	the	the	DET
alkej-908	83	2	proposed	propose	VERB
alkej-908	83	3	pdm	pdm	NOUN
alkej-908	83	4	can	can	AUX
alkej-908	83	5	not	not	PART
alkej-908	83	6	only	only	ADV
alkej-908	83	7	monitor	monitor	VERB
alkej-908	83	8	the	the	DET
alkej-908	83	9	state	state	NOUN
alkej-908	83	10	of	of	ADP
alkej-908	83	11	the	the	DET
alkej-908	83	12	ac	ac	PROPN
alkej-908	83	13	motor	motor	NOUN
alkej-908	83	14	in	in	ADP
alkej-908	83	15	real	real	ADJ
alkej-908	83	16	-	-	PUNCT
alkej-908	83	17	time	time	NOUN
alkej-908	83	18	but	but	CCONJ
alkej-908	83	19	also	also	ADV
alkej-908	83	20	predict	predict	VERB
alkej-908	83	21	the	the	DET
alkej-908	83	22	fault	fault	NOUN
alkej-908	83	23	of	of	ADP
alkej-908	83	24	the	the	DET
alkej-908	83	25	motor	motor	NOUN
alkej-908	83	26	in	in	ADP
alkej-908	83	27	advance	advance	NOUN
alkej-908	83	28	.	.	PUNCT
alkej-908	84	1	2	2	X
alkej-908	84	2	.	.	X
alkej-908	84	3	implementing	implement	VERB
alkej-908	84	4	a	a	DET
alkej-908	84	5	machine	machine	NOUN
alkej-908	84	6	learning	learn	VERB
alkej-908	84	7	algorithms	algorithm	NOUN
alkej-908	84	8	machine	machine	NOUN
alkej-908	84	9	learning	learning	NOUN
alkej-908	84	10	is	be	AUX
alkej-908	84	11	a	a	DET
alkej-908	84	12	discipline	discipline	NOUN
alkej-908	84	13	focused	focus	VERB
alkej-908	84	14	on	on	ADP
alkej-908	84	15	enabling	enable	VERB
alkej-908	84	16	computers	computer	NOUN
alkej-908	84	17	to	to	PART
alkej-908	84	18	acquire	acquire	VERB
alkej-908	84	19	knowledge	knowledge	NOUN
alkej-908	84	20	without	without	ADP
alkej-908	84	21	the	the	DET
alkej-908	84	22	need	need	NOUN
alkej-908	84	23	for	for	ADP
alkej-908	84	24	explicit	explicit	ADJ
alkej-908	84	25	programming	programming	NOUN
alkej-908	84	26	.	.	PUNCT
alkej-908	85	1	arthur	arthur	PROPN
alkej-908	85	2	samuel	samuel	PROPN
alkej-908	85	3	gained	gain	VERB
alkej-908	85	4	renown	renown	NOUN
alkej-908	85	5	for	for	ADP
alkej-908	85	6	his	his	PRON
alkej-908	85	7	checkers	checker	NOUN
alkej-908	85	8	-	-	PUNCT
alkej-908	85	9	playing	play	VERB
alkej-908	85	10	program	program	NOUN
alkej-908	85	11	,	,	PUNCT
alkej-908	85	12	a	a	DET
alkej-908	85	13	notable	notable	ADJ
alkej-908	85	14	early	early	ADJ
alkej-908	85	15	example	example	NOUN
alkej-908	85	16	.	.	PUNCT
alkej-908	86	1	machine	machine	NOUN
alkej-908	86	2	learning	learning	NOUN
alkej-908	86	3	(	(	PUNCT
alkej-908	86	4	ml	ml	NOUN
alkej-908	86	5	)	)	PUNCT
alkej-908	86	6	serves	serve	VERB
alkej-908	86	7	the	the	DET
alkej-908	86	8	purpose	purpose	NOUN
alkej-908	86	9	of	of	ADP
alkej-908	86	10	instructing	instruct	VERB
alkej-908	86	11	machines	machine	NOUN
alkej-908	86	12	on	on	ADP
alkej-908	86	13	how	how	SCONJ
alkej-908	86	14	noor	noor	PROPN
alkej-908	86	15	a.	a.	PROPN
alkej-908	86	16	mohammed	mohammed	PROPN
alkej-908	86	17	al	al	PROPN
alkej-908	86	18	-	-	PUNCT
alkej-908	86	19	khwarizmi	khwarizmi	PROPN
alkej-908	86	20	engineering	engineering	NOUN
alkej-908	86	21	journal	journal	PROPN
alkej-908	86	22	,	,	PUNCT
alkej-908	86	23	vol	vol	NOUN
alkej-908	86	24	.	.	PROPN
alkej-908	86	25	20	20	NUM
alkej-908	86	26	,	,	PUNCT
alkej-908	86	27	no.2	no.2	PROPN
alkej-908	86	28	,	,	PUNCT
alkej-908	86	29	p.p	p.p	PROPN
alkej-908	86	30	.	.	NOUN
alkej-908	86	31	2638(2024	2638(2024	NUM
alkej-908	86	32	)	)	PUNCT
alkej-908	86	33	29	29	NUM
alkej-908	86	34	to	to	PART
alkej-908	86	35	effectively	effectively	ADV
alkej-908	86	36	process	process	VERB
alkej-908	86	37	data	datum	NOUN
alkej-908	86	38	,	,	PUNCT
alkej-908	86	39	particularly	particularly	ADV
alkej-908	86	40	when	when	SCONJ
alkej-908	86	41	data	datum	NOUN
alkej-908	86	42	interpretation	interpretation	NOUN
alkej-908	86	43	is	be	AUX
alkej-908	86	44	challenging	challenging	ADJ
alkej-908	86	45	.	.	PUNCT
alkej-908	87	1	ml	ml	NOUN
alkej-908	87	2	becomes	become	VERB
alkej-908	87	3	necessary	necessary	ADJ
alkej-908	87	4	when	when	SCONJ
alkej-908	87	5	we	we	PRON
alkej-908	87	6	struggle	struggle	VERB
alkej-908	87	7	to	to	PART
alkej-908	87	8	extract	extract	VERB
alkej-908	87	9	meaningful	meaningful	ADJ
alkej-908	87	10	insights	insight	NOUN
alkej-908	87	11	from	from	ADP
alkej-908	87	12	information	information	NOUN
alkej-908	87	13	.	.	PUNCT
alkej-908	88	1	given	give	VERB
alkej-908	88	2	the	the	DET
alkej-908	88	3	wealth	wealth	NOUN
alkej-908	88	4	of	of	ADP
alkej-908	88	5	available	available	ADJ
alkej-908	88	6	datasets	dataset	NOUN
alkej-908	88	7	,	,	PUNCT
alkej-908	88	8	the	the	DET
alkej-908	88	9	demand	demand	NOUN
alkej-908	88	10	for	for	ADP
alkej-908	88	11	machine	machine	NOUN
alkej-908	88	12	learning	learning	NOUN
alkej-908	88	13	is	be	AUX
alkej-908	88	14	steadily	steadily	ADV
alkej-908	88	15	increasing	increase	VERB
alkej-908	88	16	,	,	PUNCT
alkej-908	88	17	with	with	ADP
alkej-908	88	18	numerous	numerous	ADJ
alkej-908	88	19	industries	industry	NOUN
alkej-908	88	20	relying	rely	VERB
alkej-908	88	21	on	on	ADP
alkej-908	88	22	it	it	PRON
alkej-908	88	23	to	to	PART
alkej-908	88	24	derive	derive	VERB
alkej-908	88	25	valuable	valuable	ADJ
alkej-908	88	26	information	information	NOUN
alkej-908	88	27	.	.	PUNCT
alkej-908	89	1	in	in	ADP
alkej-908	89	2	essence	essence	NOUN
alkej-908	89	3	,	,	PUNCT
alkej-908	89	4	the	the	DET
alkej-908	89	5	primary	primary	ADJ
alkej-908	89	6	objective	objective	NOUN
alkej-908	89	7	of	of	ADP
alkej-908	89	8	machine	machine	NOUN
alkej-908	89	9	learning	learning	NOUN
alkej-908	89	10	is	be	AUX
alkej-908	89	11	to	to	PART
alkej-908	89	12	gain	gain	VERB
alkej-908	89	13	knowledge	knowledge	NOUN
alkej-908	89	14	from	from	ADP
alkej-908	89	15	data	data	PROPN
alkej-908	89	16	.	.	PUNCT
alkej-908	90	1	machine	machine	NOUN
alkej-908	90	2	learning	learning	NOUN
alkej-908	90	3	depends	depend	VERB
alkej-908	90	4	on	on	ADP
alkej-908	90	5	various	various	ADJ
alkej-908	90	6	algorithms	algorithm	NOUN
alkej-908	90	7	to	to	PART
alkej-908	90	8	address	address	VERB
alkej-908	90	9	data	datum	NOUN
alkej-908	90	10	challenges	challenge	NOUN
alkej-908	90	11	.	.	PUNCT
alkej-908	91	1	it	it	PRON
alkej-908	91	2	's	be	AUX
alkej-908	91	3	important	important	ADJ
alkej-908	91	4	to	to	PART
alkej-908	91	5	note	note	VERB
alkej-908	91	6	that	that	SCONJ
alkej-908	91	7	there	there	PRON
alkej-908	91	8	is	be	VERB
alkej-908	91	9	n't	not	PART
alkej-908	91	10	a	a	DET
alkej-908	91	11	universal	universal	ADJ
alkej-908	91	12	algorithm	algorithm	NOUN
alkej-908	91	13	that	that	PRON
alkej-908	91	14	suits	suit	VERB
alkej-908	91	15	all	all	DET
alkej-908	91	16	problems	problem	NOUN
alkej-908	91	17	;	;	PUNCT
alkej-908	91	18	the	the	DET
alkej-908	91	19	choice	choice	NOUN
alkej-908	91	20	of	of	ADP
alkej-908	91	21	algorithm	algorithm	NOUN
alkej-908	91	22	depends	depend	VERB
alkej-908	91	23	on	on	ADP
alkej-908	91	24	factors	factor	NOUN
alkej-908	91	25	such	such	ADJ
alkej-908	91	26	as	as	ADP
alkej-908	91	27	the	the	DET
alkej-908	91	28	problem	problem	NOUN
alkej-908	91	29	type	type	NOUN
alkej-908	91	30	,	,	PUNCT
alkej-908	91	31	the	the	DET
alkej-908	91	32	number	number	NOUN
alkej-908	91	33	of	of	ADP
alkej-908	91	34	variables	variable	NOUN
alkej-908	91	35	involved	involve	VERB
alkej-908	91	36	,	,	PUNCT
alkej-908	91	37	and	and	CCONJ
alkej-908	91	38	the	the	DET
alkej-908	91	39	most	most	ADV
alkej-908	91	40	suitable	suitable	ADJ
alkej-908	91	41	model	model	NOUN
alkej-908	91	42	.	.	PUNCT
alkej-908	92	1	let	let	VERB
alkej-908	92	2	's	us	PRON
alkej-908	92	3	briefly	briefly	ADV
alkej-908	92	4	explore	explore	VERB
alkej-908	92	5	the	the	DET
alkej-908	92	6	ml	ml	NOUN
alkej-908	92	7	algorithms	algorithm	NOUN
alkej-908	92	8	employed	employ	VERB
alkej-908	92	9	in	in	ADP
alkej-908	92	10	this	this	DET
alkej-908	92	11	research	research	NOUN
alkej-908	93	1	[	[	X
alkej-908	93	2	12	12	NUM
alkej-908	93	3	]	]	PUNCT
alkej-908	93	4	.	.	PUNCT
alkej-908	94	1			X
alkej-908	94	2	random	random	ADJ
alkej-908	94	3	forest	forest	NOUN
alkej-908	94	4	a	a	DET
alkej-908	94	5	random	random	ADJ
alkej-908	94	6	forest	forest	NOUN
alkej-908	94	7	(	(	PUNCT
alkej-908	94	8	rfc	rfc	PROPN
alkej-908	94	9	)	)	PUNCT
alkej-908	94	10	is	be	AUX
alkej-908	94	11	an	an	DET
alkej-908	94	12	ensemble	ensemble	ADJ
alkej-908	94	13	machine	machine	NOUN
alkej-908	94	14	learning	learn	VERB
alkej-908	94	15	approach	approach	NOUN
alkej-908	94	16	used	use	VERB
alkej-908	94	17	for	for	ADP
alkej-908	94	18	predictive	predictive	ADJ
alkej-908	94	19	modeling	modeling	NOUN
alkej-908	94	20	,	,	PUNCT
alkej-908	94	21	suitable	suitable	ADJ
alkej-908	94	22	for	for	ADP
alkej-908	94	23	both	both	CCONJ
alkej-908	94	24	classification	classification	NOUN
alkej-908	94	25	and	and	CCONJ
alkej-908	94	26	regression	regression	NOUN
alkej-908	94	27	tasks	task	NOUN
alkej-908	94	28	.	.	PUNCT
alkej-908	95	1	it	it	PRON
alkej-908	95	2	combines	combine	VERB
alkej-908	95	3	the	the	DET
alkej-908	95	4	outcomes	outcome	NOUN
alkej-908	95	5	from	from	ADP
alkej-908	95	6	various	various	ADJ
alkej-908	95	7	decisions	decision	NOUN
alkej-908	95	8	made	make	VERB
alkej-908	95	9	by	by	ADP
alkej-908	95	10	different	different	ADJ
alkej-908	95	11	decision	decision	NOUN
alkej-908	95	12	trees	tree	NOUN
alkej-908	95	13	.	.	PUNCT
alkej-908	96	1	the	the	DET
alkej-908	96	2	last	last	ADJ
alkej-908	96	3	stage	stage	NOUN
alkej-908	96	4	is	be	AUX
alkej-908	96	5	done	do	VERB
alkej-908	96	6	by	by	ADP
alkej-908	96	7	the	the	DET
alkej-908	96	8	determination	determination	NOUN
alkej-908	96	9	of	of	ADP
alkej-908	96	10	the	the	DET
alkej-908	96	11	veryfication	veryfication	NOUN
alkej-908	96	12	of	of	ADP
alkej-908	96	13	the	the	DET
alkej-908	96	14	mode	mode	NOUN
alkej-908	96	15	(	(	PUNCT
alkej-908	96	16	most	most	ADV
alkej-908	96	17	frequent	frequent	ADJ
alkej-908	96	18	value	value	NOUN
alkej-908	96	19	)	)	PUNCT
alkej-908	96	20	for	for	ADP
alkej-908	96	21	classification	classification	NOUN
alkej-908	96	22	or	or	CCONJ
alkej-908	96	23	mean	mean	ADJ
alkej-908	96	24	prediction	prediction	NOUN
alkej-908	96	25	from	from	ADP
alkej-908	96	26	these	these	DET
alkej-908	96	27	trees	tree	NOUN
alkej-908	96	28	for	for	ADP
alkej-908	96	29	regressive	regressive	ADJ
alkej-908	96	30	.	.	PUNCT
alkej-908	97	1	the	the	DET
alkej-908	97	2	process	process	NOUN
alkej-908	97	3	gets	get	VERB
alkej-908	97	4	on	on	ADP
alkej-908	97	5	by	by	ADP
alkej-908	97	6	splitting	split	VERB
alkej-908	97	7	the	the	DET
alkej-908	97	8	data	datum	NOUN
alkej-908	97	9	set	set	VERB
alkej-908	97	10	into	into	ADP
alkej-908	97	11	the	the	DET
alkej-908	97	12	training	training	NOUN
alkej-908	97	13	set	set	NOUN
alkej-908	97	14	and	and	CCONJ
alkej-908	97	15	test	test	NOUN
alkej-908	97	16	set	set	NOUN
alkej-908	97	17	,	,	PUNCT
alkej-908	97	18	then	then	ADV
alkej-908	97	19	selecting	select	VERB
alkej-908	97	20	the	the	DET
alkej-908	97	21	entire	entire	ADJ
alkej-908	97	22	samples	sample	NOUN
alkej-908	97	23	randomly	randomly	ADV
alkej-908	97	24	from	from	ADP
alkej-908	97	25	the	the	DET
alkej-908	97	26	training	training	NOUN
alkej-908	97	27	set	set	NOUN
alkej-908	97	28	.	.	PUNCT
alkej-908	98	1	each	each	PRON
alkej-908	98	2	of	of	ADP
alkej-908	98	3	these	these	DET
alkej-908	98	4	categories	category	NOUN
alkej-908	98	5	uses	use	VERB
alkej-908	98	6	a	a	DET
alkej-908	98	7	decision	decision	NOUN
alkej-908	98	8	tree	tree	NOUN
alkej-908	98	9	to	to	PART
alkej-908	98	10	break	break	VERB
alkej-908	98	11	the	the	DET
alkej-908	98	12	divisions	division	NOUN
alkej-908	98	13	with	with	ADP
alkej-908	98	14	the	the	DET
alkej-908	98	15	goal	goal	NOUN
alkej-908	98	16	of	of	ADP
alkej-908	98	17	accurate	accurate	ADJ
alkej-908	98	18	segmenting	segmenting	NOUN
alkej-908	98	19	of	of	ADP
alkej-908	98	20	data	datum	NOUN
alkej-908	98	21	points	point	NOUN
alkej-908	98	22	into	into	ADP
alkej-908	98	23	groups	group	NOUN
alkej-908	98	24	or	or	CCONJ
alkej-908	98	25	predicting	predict	VERB
alkej-908	98	26	values	value	NOUN
alkej-908	98	27	.	.	PUNCT
alkej-908	99	1	this	this	PRON
alkej-908	99	2	is	be	AUX
alkej-908	99	3	sequential	sequential	ADJ
alkej-908	99	4	firstly	firstly	ADV
alkej-908	99	5	picking	pick	VERB
alkej-908	99	6	up	up	ADP
alkej-908	99	7	samples	sample	NOUN
alkej-908	99	8	and	and	CCONJ
alkej-908	99	9	then	then	ADV
alkej-908	99	10	making	make	VERB
alkej-908	99	11	decisions	decision	NOUN
alkej-908	99	12	trees	tree	NOUN
alkej-908	99	13	.	.	PUNCT
alkej-908	100	1	then	then	ADV
alkej-908	100	2	the	the	DET
alkej-908	100	3	random	random	ADJ
alkej-908	100	4	forest	forest	NOUN
alkej-908	100	5	combines	combine	VERB
alkej-908	100	6	the	the	DET
alkej-908	100	7	individual	individual	ADJ
alkej-908	100	8	predictions	prediction	NOUN
alkej-908	100	9	of	of	ADP
alkej-908	100	10	all	all	DET
alkej-908	100	11	the	the	DET
alkej-908	100	12	decision	decision	NOUN
alkej-908	100	13	trees	tree	NOUN
alkej-908	100	14	and	and	CCONJ
alkej-908	100	15	finally	finally	ADV
alkej-908	100	16	it	it	PRON
alkej-908	100	17	conducts	conduct	VERB
alkej-908	100	18	a	a	DET
alkej-908	100	19	majority	majority	NOUN
alkej-908	100	20	vote	vote	NOUN
alkej-908	100	21	.	.	PUNCT
alkej-908	101	1	those	those	DET
alkej-908	101	2	predictions	prediction	NOUN
alkej-908	101	3	that	that	PRON
alkej-908	101	4	have	have	VERB
alkej-908	101	5	the	the	DET
alkej-908	101	6	majority	majority	NOUN
alkej-908	101	7	of	of	ADP
alkej-908	101	8	votes	vote	NOUN
alkej-908	101	9	are	be	AUX
alkej-908	101	10	actually	actually	ADV
alkej-908	101	11	the	the	DET
alkej-908	101	12	final	final	ADJ
alkej-908	101	13	output	output	NOUN
alkej-908	101	14	values	value	NOUN
alkej-908	101	15	[	[	X
alkej-908	101	16	12	12	NUM
alkej-908	101	17	]	]	PUNCT
alkej-908	101	18	.	.	PUNCT
alkej-908	102	1			PROPN
alkej-908	102	2	support	support	NOUN
alkej-908	102	3	vector	vector	NOUN
alkej-908	102	4	classifier	classifier	NOUN
alkej-908	102	5	svc	svc	PROPN
alkej-908	102	6	(	(	PUNCT
alkej-908	102	7	support	support	VERB
alkej-908	102	8	vector	vector	NOUN
alkej-908	102	9	classifiers	classifier	NOUN
alkej-908	102	10	)	)	PUNCT
alkej-908	102	11	which	which	PRON
alkej-908	102	12	is	be	AUX
alkej-908	102	13	a	a	DET
alkej-908	102	14	support	support	NOUN
alkej-908	102	15	vector	vector	NOUN
alkej-908	102	16	is	be	AUX
alkej-908	102	17	the	the	DET
alkej-908	102	18	most	most	ADV
alkej-908	102	19	widely	widely	ADV
alkej-908	102	20	-	-	PUNCT
alkej-908	102	21	used	use	VERB
alkej-908	102	22	system	system	NOUN
alkej-908	102	23	in	in	ADP
alkej-908	102	24	machine	machine	NOUN
alkej-908	102	25	learning	learning	NOUN
alkej-908	102	26	.	.	PUNCT
alkej-908	103	1	in	in	ADP
alkej-908	103	2	the	the	DET
alkej-908	103	3	context	context	NOUN
alkej-908	103	4	of	of	ADP
alkej-908	103	5	machine	machine	NOUN
alkej-908	103	6	learning	learning	NOUN
alkej-908	103	7	,	,	PUNCT
alkej-908	103	8	support	support	NOUN
alkej-908	103	9	vector	vector	NOUN
alkej-908	103	10	classifiers	classifier	NOUN
alkej-908	103	11	are	be	AUX
alkej-908	103	12	supervised	supervise	VERB
alkej-908	103	13	learning	learning	NOUN
alkej-908	103	14	models	model	NOUN
alkej-908	103	15	having	have	VERB
alkej-908	103	16	an	an	DET
alkej-908	103	17	algorithm	algorithm	NOUN
alkej-908	103	18	which	which	PRON
alkej-908	103	19	analyses	analyse	VERB
alkej-908	103	20	the	the	DET
alkej-908	103	21	data	datum	NOUN
alkej-908	103	22	to	to	PART
alkej-908	103	23	perform	perform	VERB
alkej-908	103	24	the	the	DET
alkej-908	103	25	classification	classification	NOUN
alkej-908	103	26	and	and	CCONJ
alkej-908	103	27	regression	regression	VERB
alkej-908	103	28	analysis	analysis	NOUN
alkej-908	103	29	functions	function	NOUN
alkej-908	103	30	.	.	PUNCT
alkej-908	104	1	progressing	progress	VERB
alkej-908	104	2	from	from	ADP
alkej-908	104	3	their	their	PRON
alkej-908	104	4	competency	competency	NOUN
alkej-908	104	5	to	to	PART
alkej-908	104	6	execute	execute	VERB
alkej-908	104	7	linear	linear	ADJ
alkej-908	104	8	classification	classification	NOUN
alkej-908	104	9	,	,	PUNCT
alkej-908	104	10	svcs	svcs	PROPN
alkej-908	104	11	has	have	AUX
alkej-908	104	12	come	come	VERB
alkej-908	104	13	to	to	PART
alkej-908	104	14	exhibit	exhibit	VERB
alkej-908	104	15	non	non	ADJ
alkej-908	104	16	-	-	ADJ
alkej-908	104	17	linear	linear	ADJ
alkej-908	104	18	classification	classification	NOUN
alkej-908	104	19	through	through	ADP
alkej-908	104	20	the	the	DET
alkej-908	104	21	procedure	procedure	NOUN
alkej-908	104	22	of	of	ADP
alkej-908	104	23	“	"	PUNCT
alkej-908	104	24	the	the	DET
alkej-908	104	25	kernel	kernel	PROPN
alkej-908	104	26	trick	trick	NOUN
alkej-908	104	27	.	.	PUNCT
alkej-908	104	28	”	"	PUNCT
alkej-908	105	1	this	this	DET
alkej-908	105	2	method	method	NOUN
alkej-908	105	3	produces	produce	VERB
alkej-908	105	4	the	the	DET
alkej-908	105	5	necessary	necessary	ADJ
alkej-908	105	6	k	k	ADJ
alkej-908	105	7	-	-	ADJ
alkej-908	105	8	dimensional	dimensional	ADJ
alkej-908	105	9	feature	feature	NOUN
alkej-908	105	10	spaces	space	NOUN
alkej-908	105	11	that	that	PRON
alkej-908	105	12	mark	mark	VERB
alkej-908	105	13	particular	particular	ADJ
alkej-908	105	14	classes	class	NOUN
alkej-908	105	15	based	base	VERB
alkej-908	105	16	on	on	ADP
alkej-908	105	17	typical	typical	ADJ
alkej-908	105	18	features	feature	NOUN
alkej-908	105	19	associated	associate	VERB
alkej-908	105	20	with	with	ADP
alkej-908	105	21	each	each	DET
alkej-908	105	22	class	class	NOUN
alkej-908	105	23	.	.	PUNCT
alkej-908	106	1	while	while	SCONJ
alkej-908	106	2	the	the	DET
alkej-908	106	3	design	design	NOUN
alkej-908	106	4	is	be	AUX
alkej-908	106	5	complex	complex	ADJ
alkej-908	106	6	and	and	CCONJ
alkej-908	106	7	sensitive	sensitive	ADJ
alkej-908	106	8	to	to	ADP
alkej-908	106	9	the	the	DET
alkej-908	106	10	balance	balance	NOUN
alkej-908	106	11	between	between	ADP
alkej-908	106	12	accuracy	accuracy	NOUN
alkej-908	106	13	and	and	CCONJ
alkej-908	106	14	coverage	coverage	NOUN
alkej-908	106	15	,	,	PUNCT
alkej-908	106	16	each	each	DET
alkej-908	106	17	boundary	boundary	NOUN
alkej-908	106	18	is	be	AUX
alkej-908	106	19	passed	pass	VERB
alkej-908	106	20	through	through	ADP
alkej-908	106	21	with	with	ADP
alkej-908	106	22	the	the	DET
alkej-908	106	23	aim	aim	NOUN
alkej-908	106	24	of	of	ADP
alkej-908	106	25	minimizing	minimize	VERB
alkej-908	106	26	the	the	DET
alkej-908	106	27	distance	distance	NOUN
alkej-908	106	28	between	between	ADP
alkej-908	106	29	them	they	PRON
alkej-908	106	30	and	and	CCONJ
alkej-908	106	31	the	the	DET
alkej-908	106	32	separate	separate	ADJ
alkej-908	106	33	classes	class	NOUN
alkej-908	106	34	to	to	PART
alkej-908	106	35	prevent	prevent	VERB
alkej-908	106	36	misclassification	misclassification	NOUN
alkej-908	106	37	errors	error	NOUN
alkej-908	106	38	[	[	X
alkej-908	106	39	13	13	NUM
alkej-908	106	40	]	]	PUNCT
alkej-908	106	41	.	.	PUNCT
alkej-908	107	1			X
alkej-908	108	1	k	k	X
alkej-908	108	2	-	-	PUNCT
alkej-908	108	3	nearest	near	ADJ
alkej-908	108	4	neighbor	neighbor	NOUN
alkej-908	108	5	the	the	DET
alkej-908	108	6	k	k	PROPN
alkej-908	108	7	-	-	PUNCT
alkej-908	108	8	nearest	near	ADJ
alkej-908	108	9	neighbors	neighbor	NOUN
alkej-908	108	10	method	method	NOUN
alkej-908	108	11	(	(	PUNCT
alkej-908	108	12	knn	knn	PROPN
alkej-908	108	13	)	)	PUNCT
alkej-908	108	14	belongs	belong	VERB
alkej-908	108	15	to	to	ADP
alkej-908	108	16	the	the	DET
alkej-908	108	17	supervised	supervised	ADJ
alkej-908	108	18	learning	learning	NOUN
alkej-908	108	19	category	category	NOUN
alkej-908	108	20	that	that	PRON
alkej-908	108	21	is	be	AUX
alkej-908	108	22	,	,	PUNCT
alkej-908	108	23	into	into	ADP
alkej-908	108	24	the	the	DET
alkej-908	108	25	class	class	NOUN
alkej-908	108	26	of	of	ADP
alkej-908	108	27	classification	classification	NOUN
alkej-908	108	28	.	.	PUNCT
alkej-908	109	1	knn	knn	PROPN
alkej-908	109	2	stands	stand	VERB
alkej-908	109	3	for	for	ADP
alkej-908	109	4	the	the	DET
alkej-908	109	5	nearest	near	ADJ
alkej-908	109	6	neighbors	neighbor	NOUN
alkej-908	109	7	algorithm	algorithm	NOUN
alkej-908	109	8	that	that	PRON
alkej-908	109	9	uses	use	VERB
alkej-908	109	10	all	all	DET
alkej-908	109	11	data	datum	NOUN
alkej-908	109	12	available	available	ADJ
alkej-908	109	13	and	and	CCONJ
alkej-908	109	14	is	be	AUX
alkej-908	109	15	insensitive	insensitive	ADJ
alkej-908	109	16	to	to	ADP
alkej-908	109	17	noise	noise	NOUN
alkej-908	109	18	by	by	ADP
alkej-908	109	19	evaluating	evaluate	VERB
alkej-908	109	20	similarity	similarity	NOUN
alkej-908	109	21	.	.	PUNCT
alkej-908	110	1	through	through	ADP
alkej-908	110	2	a	a	DET
alkej-908	110	3	measurement	measurement	NOUN
alkej-908	110	4	of	of	ADP
alkej-908	110	5	two	two	NUM
alkej-908	110	6	parameters	parameter	NOUN
alkej-908	110	7	in	in	ADP
alkej-908	110	8	a	a	DET
alkej-908	110	9	two	two	NUM
alkej-908	110	10	dimensional	dimensional	ADJ
alkej-908	110	11	cartesian	cartesian	ADJ
alkej-908	110	12	plane	plane	NOUN
alkej-908	110	13	,	,	PUNCT
alkej-908	110	14	we	we	PRON
alkej-908	110	15	can	can	AUX
alkej-908	110	16	establish	establish	VERB
alkej-908	110	17	the	the	DET
alkej-908	110	18	similarity	similarity	NOUN
alkej-908	110	19	of	of	ADP
alkej-908	110	20	the	the	DET
alkej-908	110	21	points	point	NOUN
alkej-908	110	22	on	on	ADP
alkej-908	110	23	the	the	DET
alkej-908	110	24	plane	plane	NOUN
alkej-908	110	25	based	base	VERB
alkej-908	110	26	on	on	ADP
alkej-908	110	27	the	the	DET
alkej-908	110	28	distance	distance	NOUN
alkej-908	110	29	between	between	ADP
alkej-908	110	30	them	they	PRON
alkej-908	110	31	.	.	PUNCT
alkej-908	111	1	on	on	ADP
alkej-908	111	2	the	the	DET
alkej-908	111	3	same	same	ADJ
alkej-908	111	4	wavelength	wavelength	NOUN
alkej-908	111	5	,	,	PUNCT
alkej-908	111	6	knn	knn	PROPN
alkej-908	111	7	works	work	VERB
alkej-908	111	8	based	base	VERB
alkej-908	111	9	on	on	ADP
alkej-908	111	10	the	the	DET
alkej-908	111	11	law	law	NOUN
alkej-908	111	12	that	that	PRON
alkej-908	111	13	the	the	DET
alkej-908	111	14	similar	similar	ADJ
alkej-908	111	15	things	thing	NOUN
alkej-908	111	16	usually	usually	ADV
alkej-908	111	17	stay	stay	VERB
alkej-908	111	18	close	close	ADJ
alkej-908	111	19	to	to	ADP
alkej-908	111	20	each	each	DET
alkej-908	111	21	other.[14	other.[14	PROPN
alkej-908	111	22	]	]	X
alkej-908	111	23			NOUN
alkej-908	111	24	logistic	logistic	ADJ
alkej-908	111	25	regression	regression	NOUN
alkej-908	111	26	logistic	logistic	ADJ
alkej-908	111	27	regression	regression	NOUN
alkej-908	111	28	(	(	PUNCT
alkej-908	111	29	lr	lr	NOUN
alkej-908	111	30	)	)	PUNCT
alkej-908	111	31	,	,	PUNCT
alkej-908	111	32	being	be	AUX
alkej-908	111	33	a	a	DET
alkej-908	111	34	statistical	statistical	ADJ
alkej-908	111	35	method	method	NOUN
alkej-908	111	36	that	that	PRON
alkej-908	111	37	uses	use	VERB
alkej-908	111	38	logistic	logistic	ADJ
alkej-908	111	39	function	function	NOUN
alkej-908	111	40	as	as	ADP
alkej-908	111	41	its	its	PRON
alkej-908	111	42	core	core	NOUN
alkej-908	111	43	unit	unit	NOUN
alkej-908	111	44	.	.	PUNCT
alkej-908	112	1	though	though	SCONJ
alkej-908	112	2	there	there	PRON
alkej-908	112	3	are	be	VERB
alkej-908	112	4	advanced	advanced	ADJ
alkej-908	112	5	derivations	derivation	NOUN
alkej-908	112	6	of	of	ADP
alkej-908	112	7	this	this	DET
alkej-908	112	8	model	model	NOUN
alkej-908	112	9	,	,	PUNCT
alkej-908	112	10	its	its	PRON
alkej-908	112	11	ultimate	ultimate	ADJ
alkej-908	112	12	usage	usage	NOUN
alkej-908	112	13	is	be	AUX
alkej-908	112	14	to	to	PART
alkej-908	112	15	calculate	calculate	VERB
alkej-908	112	16	the	the	DET
alkej-908	112	17	probability	probability	NOUN
alkej-908	112	18	of	of	ADP
alkej-908	112	19	either	either	CCONJ
alkej-908	112	20	a	a	DET
alkej-908	112	21	binary	binary	ADJ
alkej-908	112	22	dependent	dependent	ADJ
alkej-908	112	23	variable	variable	NOUN
alkej-908	112	24	.	.	PUNCT
alkej-908	113	1	the	the	DET
alkej-908	113	2	logistic	logistic	ADJ
alkej-908	113	3	regression	regression	NOUN
alkej-908	113	4	model	model	NOUN
alkej-908	113	5	itself	itself	PRON
alkej-908	113	6	does	do	AUX
alkej-908	113	7	n't	not	PART
alkej-908	113	8	carry	carry	VERB
alkej-908	113	9	out	out	ADP
alkej-908	113	10	statistical	statistical	ADJ
alkej-908	113	11	classification	classification	NOUN
alkej-908	113	12	–	–	PUNCT
alkej-908	113	13	it	it	PRON
alkej-908	113	14	's	be	AUX
alkej-908	113	15	not	not	PART
alkej-908	113	16	a	a	DET
alkej-908	113	17	classifier	classifier	NOUN
alkej-908	113	18	per	per	ADP
alkej-908	113	19	se	se	X
alkej-908	113	20	.	.	PUNCT
alkej-908	114	1	however	however	ADV
alkej-908	114	2	,	,	PUNCT
alkej-908	114	3	it	it	PRON
alkej-908	114	4	can	can	AUX
alkej-908	114	5	be	be	AUX
alkej-908	114	6	adapted	adapt	VERB
alkej-908	114	7	for	for	ADP
alkej-908	114	8	classification	classification	NOUN
alkej-908	114	9	tasks	task	NOUN
alkej-908	114	10	.	.	PUNCT
alkej-908	115	1	one	one	NUM
alkej-908	115	2	common	common	ADJ
alkej-908	115	3	technique	technique	NOUN
alkej-908	115	4	is	be	AUX
alkej-908	115	5	to	to	PART
alkej-908	115	6	establish	establish	VERB
alkej-908	115	7	a	a	DET
alkej-908	115	8	threshold	threshold	NOUN
alkej-908	115	9	value	value	NOUN
alkej-908	115	10	and	and	CCONJ
alkej-908	115	11	categorize	categorize	VERB
alkej-908	115	12	inputs	input	NOUN
alkej-908	115	13	based	base	VERB
alkej-908	115	14	on	on	ADP
alkej-908	115	15	whether	whether	SCONJ
alkej-908	115	16	their	their	PRON
alkej-908	115	17	predicted	predict	VERB
alkej-908	115	18	probabilities	probability	NOUN
alkej-908	115	19	surpass	surpass	ADJ
alkej-908	115	20	or	or	CCONJ
alkej-908	115	21	fall	fall	VERB
alkej-908	115	22	below	below	ADP
alkej-908	115	23	this	this	DET
alkej-908	115	24	threshold	threshold	NOUN
alkej-908	115	25	.	.	PUNCT
alkej-908	116	1	this	this	DET
alkej-908	116	2	method	method	NOUN
alkej-908	116	3	is	be	AUX
alkej-908	116	4	widely	widely	ADV
alkej-908	116	5	adopted	adopt	VERB
alkej-908	116	6	for	for	ADP
alkej-908	116	7	constructing	construct	VERB
alkej-908	116	8	binary	binary	ADJ
alkej-908	116	9	classifiers	classifier	NOUN
alkej-908	116	10	.	.	PUNCT
alkej-908	117	1	logistic	logistic	ADJ
alkej-908	117	2	regression	regression	NOUN
alkej-908	117	3	finds	find	VERB
alkej-908	117	4	applications	application	NOUN
alkej-908	117	5	in	in	ADP
alkej-908	117	6	various	various	ADJ
alkej-908	117	7	domains	domain	NOUN
alkej-908	117	8	such	such	ADJ
alkej-908	117	9	as	as	ADP
alkej-908	117	10	fraud	fraud	NOUN
alkej-908	117	11	detection	detection	NOUN
alkej-908	117	12	,	,	PUNCT
alkej-908	117	13	clinical	clinical	ADJ
alkej-908	117	14	trials	trial	NOUN
alkej-908	117	15	,	,	PUNCT
alkej-908	117	16	and	and	CCONJ
alkej-908	117	17	scenarios	scenario	NOUN
alkej-908	117	18	where	where	SCONJ
alkej-908	117	19	outcomes	outcome	NOUN
alkej-908	117	20	are	be	AUX
alkej-908	117	21	binary	binary	ADJ
alkej-908	117	22	[	[	X
alkej-908	117	23	13	13	NUM
alkej-908	117	24	]	]	PUNCT
alkej-908	117	25	.	.	PUNCT
alkej-908	118	1			PROPN
alkej-908	119	1	xgboost	xgboost	PROPN
alkej-908	119	2	xgboost	xgboost	PROPN
alkej-908	120	1	(	(	PUNCT
alkej-908	120	2	xgb	xgb	PROPN
alkej-908	120	3	)	)	PUNCT
alkej-908	120	4	is	be	AUX
alkej-908	120	5	a	a	DET
alkej-908	120	6	highly	highly	ADV
alkej-908	120	7	efficient	efficient	ADJ
alkej-908	120	8	gradient	gradient	NOUN
alkej-908	120	9	tree	tree	NOUN
alkej-908	120	10	boosting	boost	VERB
alkej-908	120	11	technique	technique	NOUN
alkej-908	120	12	that	that	PRON
alkej-908	120	13	creates	create	VERB
alkej-908	120	14	a	a	DET
alkej-908	120	15	sequence	sequence	NOUN
alkej-908	120	16	of	of	ADP
alkej-908	120	17	decision	decision	NOUN
alkej-908	120	18	trees	tree	NOUN
alkej-908	120	19	.	.	PUNCT
alkej-908	121	1	it	it	PRON
alkej-908	121	2	excels	excel	VERB
alkej-908	121	3	at	at	ADP
alkej-908	121	4	swiftly	swiftly	ADV
alkej-908	121	5	carrying	carry	VERB
alkej-908	121	6	out	out	ADP
alkej-908	121	7	relevant	relevant	ADJ
alkej-908	121	8	computations	computation	NOUN
alkej-908	121	9	across	across	ADP
alkej-908	121	10	various	various	ADJ
alkej-908	121	11	computational	computational	ADJ
alkej-908	121	12	setups	setup	NOUN
alkej-908	121	13	.	.	PUNCT
alkej-908	122	1	consequently	consequently	ADV
alkej-908	122	2	,	,	PUNCT
alkej-908	122	3	xgboost	xgboost	ADV
alkej-908	122	4	is	be	AUX
alkej-908	122	5	widely	widely	ADV
alkej-908	122	6	favored	favor	VERB
alkej-908	122	7	for	for	ADP
alkej-908	122	8	its	its	PRON
alkej-908	122	9	capability	capability	NOUN
alkej-908	122	10	to	to	PART
alkej-908	122	11	model	model	VERB
alkej-908	122	12	new	new	ADJ
alkej-908	122	13	features	feature	NOUN
alkej-908	122	14	and	and	CCONJ
alkej-908	122	15	make	make	VERB
alkej-908	122	16	classifications	classification	NOUN
alkej-908	122	17	.	.	PUNCT
alkej-908	123	1	the	the	DET
alkej-908	123	2	utilization	utilization	NOUN
alkej-908	123	3	of	of	ADP
alkej-908	123	4	the	the	DET
alkej-908	123	5	xgboost	xgboost	PROPN
alkej-908	123	6	algorithm	algorithm	PROPN
alkej-908	123	7	has	have	AUX
alkej-908	123	8	surged	surge	VERB
alkej-908	123	9	in	in	ADP
alkej-908	123	10	popularity	popularity	NOUN
alkej-908	123	11	,	,	PUNCT
alkej-908	123	12	mainly	mainly	ADV
alkej-908	123	13	owing	owe	VERB
alkej-908	123	14	to	to	ADP
alkej-908	123	15	its	its	PRON
alkej-908	123	16	integration	integration	NOUN
alkej-908	123	17	with	with	ADP
alkej-908	123	18	tabular	tabular	NOUN
alkej-908	123	19	and	and	CCONJ
alkej-908	123	20	structured	structured	ADJ
alkej-908	123	21	datasets	dataset	NOUN
alkej-908	123	22	[	[	X
alkej-908	123	23	15	15	NUM
alkej-908	123	24	]	]	PUNCT
alkej-908	123	25	.	.	PUNCT
alkej-908	124	1	2.1	2.1	NUM
alkej-908	124	2	gathering	gathering	NOUN
alkej-908	124	3	data	datum	NOUN
alkej-908	124	4	as	as	SCONJ
alkej-908	124	5	previously	previously	ADV
alkej-908	124	6	mentioned	mention	VERB
alkej-908	124	7	,	,	PUNCT
alkej-908	124	8	machine	machine	NOUN
alkej-908	124	9	learning	learn	VERB
alkej-908	124	10	algorithms	algorithm	NOUN
alkej-908	124	11	undergo	undergo	VERB
alkej-908	124	12	training	training	NOUN
alkej-908	124	13	using	use	VERB
alkej-908	124	14	existing	exist	VERB
alkej-908	124	15	datasets	dataset	NOUN
alkej-908	124	16	to	to	PART
alkej-908	124	17	enhance	enhance	VERB
alkej-908	124	18	their	their	PRON
alkej-908	124	19	performance	performance	NOUN
alkej-908	124	20	.	.	PUNCT
alkej-908	125	1	the	the	DET
alkej-908	125	2	effectiveness	effectiveness	NOUN
alkej-908	125	3	of	of	ADP
alkej-908	125	4	these	these	DET
alkej-908	125	5	models	model	NOUN
alkej-908	125	6	relies	rely	VERB
alkej-908	125	7	significantly	significantly	ADV
alkej-908	125	8	on	on	ADP
alkej-908	125	9	the	the	DET
alkej-908	125	10	size	size	NOUN
alkej-908	125	11	and	and	CCONJ
alkej-908	125	12	quality	quality	NOUN
alkej-908	125	13	of	of	ADP
alkej-908	125	14	the	the	DET
alkej-908	125	15	training	training	NOUN
alkej-908	125	16	data	datum	NOUN
alkej-908	125	17	.	.	PUNCT
alkej-908	126	1	the	the	DET
alkej-908	126	2	initial	initial	ADJ
alkej-908	126	3	phase	phase	NOUN
alkej-908	126	4	of	of	ADP
alkej-908	126	5	the	the	DET
alkej-908	126	6	machine	machine	NOUN
alkej-908	126	7	learning	learn	VERB
alkej-908	126	8	workflow	workflow	NOUN
alkej-908	126	9	involves	involve	VERB
alkej-908	126	10	identifying	identify	VERB
alkej-908	126	11	,	,	PUNCT
alkej-908	126	12	collecting	collecting	NOUN
alkej-908	126	13	,	,	PUNCT
alkej-908	126	14	or	or	CCONJ
alkej-908	126	15	in	in	ADP
alkej-908	126	16	some	some	DET
alkej-908	126	17	instances	instance	NOUN
alkej-908	126	18	,	,	PUNCT
alkej-908	126	19	generating	generate	VERB
alkej-908	126	20	the	the	DET
alkej-908	126	21	training	training	NOUN
alkej-908	126	22	dataset	dataset	NOUN
alkej-908	126	23	.	.	PUNCT
alkej-908	127	1	the	the	DET
alkej-908	127	2	specific	specific	ADJ
alkej-908	127	3	approach	approach	NOUN
alkej-908	127	4	taken	take	VERB
alkej-908	127	5	in	in	ADP
alkej-908	127	6	this	this	DET
alkej-908	127	7	regard	regard	NOUN
alkej-908	127	8	is	be	AUX
alkej-908	127	9	heavily	heavily	ADV
alkej-908	127	10	influenced	influence	VERB
alkej-908	127	11	by	by	ADP
alkej-908	127	12	the	the	DET
alkej-908	127	13	desired	desire	VERB
alkej-908	127	14	noor	noor	PROPN
alkej-908	127	15	a.	a.	PROPN
alkej-908	127	16	mohammed	mohammed	PROPN
alkej-908	127	17	al	al	PROPN
alkej-908	127	18	-	-	PUNCT
alkej-908	127	19	khwarizmi	khwarizmi	PROPN
alkej-908	127	20	engineering	engineering	NOUN
alkej-908	127	21	journal	journal	PROPN
alkej-908	127	22	,	,	PUNCT
alkej-908	127	23	vol	vol	NOUN
alkej-908	127	24	.	.	PROPN
alkej-908	127	25	20	20	NUM
alkej-908	127	26	,	,	PUNCT
alkej-908	127	27	no.2	no.2	PROPN
alkej-908	127	28	,	,	PUNCT
alkej-908	127	29	p.p	p.p	PROPN
alkej-908	127	30	.	.	NOUN
alkej-908	127	31	2638(2024	2638(2024	NUM
alkej-908	127	32	)	)	PUNCT
alkej-908	127	33	30	30	NUM
alkej-908	127	34	objectives	objective	NOUN
alkej-908	127	35	of	of	ADP
alkej-908	127	36	the	the	DET
alkej-908	127	37	model	model	NOUN
alkej-908	127	38	under	under	ADP
alkej-908	127	39	development	development	NOUN
alkej-908	127	40	.	.	PUNCT
alkej-908	128	1	to	to	PART
alkej-908	128	2	gain	gain	VERB
alkej-908	128	3	practical	practical	ADJ
alkej-908	128	4	experience	experience	NOUN
alkej-908	128	5	in	in	ADP
alkej-908	128	6	executing	execute	VERB
alkej-908	128	7	the	the	DET
alkej-908	128	8	various	various	ADJ
alkej-908	128	9	stages	stage	NOUN
alkej-908	128	10	of	of	ADP
alkej-908	128	11	a	a	DET
alkej-908	128	12	machine	machine	NOUN
alkej-908	128	13	learning	learn	VERB
alkej-908	128	14	workflow	workflow	NOUN
alkej-908	128	15	,	,	PUNCT
alkej-908	128	16	we	we	PRON
alkej-908	128	17	employed	employ	VERB
alkej-908	128	18	datasets	dataset	NOUN
alkej-908	128	19	obtained	obtain	VERB
alkej-908	128	20	from	from	ADP
alkej-908	128	21	sensors	sensor	NOUN
alkej-908	128	22	monitoring	monitor	VERB
alkej-908	128	23	a	a	DET
alkej-908	128	24	universal	universal	ADJ
alkej-908	128	25	ac	ac	PROPN
alkej-908	128	26	motor	motor	NOUN
alkej-908	128	27	.	.	PUNCT
alkej-908	129	1	these	these	DET
alkej-908	129	2	datasets	dataset	NOUN
alkej-908	129	3	encompass	encompass	VERB
alkej-908	129	4	normal	normal	ADJ
alkej-908	129	5	operating	operating	NOUN
alkej-908	129	6	conditions	condition	NOUN
alkej-908	129	7	,	,	PUNCT
alkej-908	129	8	fault	fault	VERB
alkej-908	129	9	scenarios	scenario	NOUN
alkej-908	129	10	,	,	PUNCT
alkej-908	129	11	and	and	CCONJ
alkej-908	129	12	include	include	VERB
alkej-908	129	13	a	a	DET
alkej-908	129	14	motor	motor	NOUN
alkej-908	129	15	with	with	ADP
alkej-908	129	16	bidirectional	bidirectional	ADJ
alkej-908	129	17	rotation	rotation	NOUN
alkej-908	129	18	capability	capability	NOUN
alkej-908	129	19	as	as	ADV
alkej-908	129	20	well	well	ADV
alkej-908	129	21	as	as	ADP
alkej-908	129	22	a	a	DET
alkej-908	129	23	rapid	rapid	ADJ
alkej-908	129	24	motor	motor	NOUN
alkej-908	129	25	stop	stop	NOUN
alkej-908	129	26	feature	feature	NOUN
alkej-908	129	27	.	.	PUNCT
alkej-908	130	1	table	table	NOUN
alkej-908	130	2	1	1	NUM
alkej-908	130	3	shows	show	VERB
alkej-908	130	4	the	the	DET
alkej-908	130	5	size	size	NOUN
alkej-908	130	6	and	and	CCONJ
alkej-908	130	7	counts	count	NOUN
alkej-908	130	8	of	of	ADP
alkej-908	130	9	data	datum	NOUN
alkej-908	130	10	sets	set	NOUN
alkej-908	130	11	for	for	ADP
alkej-908	130	12	each	each	DET
alkej-908	130	13	classification	classification	NOUN
alkej-908	130	14	,	,	PUNCT
alkej-908	130	15	while	while	SCONJ
alkej-908	130	16	table	table	NOUN
alkej-908	130	17	2	2	NUM
alkej-908	130	18	shows	show	VERB
alkej-908	130	19	samples	sample	NOUN
alkej-908	130	20	of	of	ADP
alkej-908	130	21	the	the	DET
alkej-908	130	22	data	datum	NOUN
alkej-908	130	23	collected	collect	VERB
alkej-908	130	24	.	.	PUNCT
alkej-908	131	1	table	table	NOUN
alkej-908	131	2	1	1	NUM
alkej-908	131	3	,	,	PUNCT
alkej-908	131	4	size	size	NOUN
alkej-908	131	5	and	and	CCONJ
alkej-908	131	6	counts	count	NOUN
alkej-908	131	7	of	of	ADP
alkej-908	131	8	data	datum	NOUN
alkej-908	131	9	sets	set	NOUN
alkej-908	131	10	for	for	ADP
alkej-908	131	11	each	each	DET
alkej-908	131	12	classification	classification	NOUN
alkej-908	131	13	[	[	X
alkej-908	131	14	16	16	NUM
alkej-908	131	15	]	]	PUNCT
alkej-908	131	16	failure	failure	NOUN
alkej-908	131	17	type	type	NOUN
alkej-908	131	18	file	file	NOUN
alkej-908	131	19	size	size	NOUN
alkej-908	131	20	(	(	PUNCT
alkej-908	131	21	kb	kb	PROPN
alkej-908	131	22	)	)	PUNCT
alkej-908	131	23	count	count	NOUN
alkej-908	131	24	of	of	ADP
alkej-908	131	25	data	datum	NOUN
alkej-908	131	26	no	no	DET
alkej-908	131	27	failure	failure	NOUN
alkej-908	131	28	654.3	654.3	NUM
alkej-908	131	29	11996	11996	NUM
alkej-908	131	30	vibration	vibration	NOUN
alkej-908	131	31	failure	failure	NOUN
alkej-908	131	32	316.1	316.1	NUM
alkej-908	131	33	5946	5946	NUM
alkej-908	131	34	over	over	ADP
alkej-908	131	35	current	current	ADJ
alkej-908	131	36	failure	failure	NOUN
alkej-908	131	37	550.7	550.7	NUM
alkej-908	131	38	10092	10092	NUM
alkej-908	131	39	bush	bush	PROPN
alkej-908	131	40	failure	failure	NOUN
alkej-908	131	41	157.7	157.7	NUM
alkej-908	131	42	2910	2910	NUM
alkej-908	131	43	stop	stop	VERB
alkej-908	131	44	rotating	rotate	VERB
alkej-908	131	45	failure	failure	NOUN
alkej-908	131	46	254.6	254.6	NUM
alkej-908	131	47	4656	4656	NUM
alkej-908	131	48	table	table	NOUN
alkej-908	131	49	2	2	NUM
alkej-908	131	50	,	,	PUNCT
alkej-908	131	51	sample	sample	NOUN
alkej-908	131	52	of	of	ADP
alkej-908	131	53	data	datum	NOUN
alkej-908	131	54	collected	collect	VERB
alkej-908	131	55	[	[	X
alkej-908	131	56	16	16	NUM
alkej-908	131	57	]	]	PUNCT
alkej-908	131	58	accel	accel	NOUN
alkej-908	131	59	x	x	SYM
alkej-908	131	60	(	(	PUNCT
alkej-908	131	61	1	1	NUM
alkej-908	131	62	g	g	NOUN
alkej-908	131	63	)	)	PUNCT
alkej-908	131	64	accel	accel	VERB
alkej-908	131	65	y	y	PROPN
alkej-908	131	66	(	(	PUNCT
alkej-908	131	67	1	1	NUM
alkej-908	131	68	g	g	NOUN
alkej-908	131	69	)	)	PUNCT
alkej-908	131	70	accel	accel	PROPN
alkej-908	131	71	z	z	PROPN
alkej-908	131	72	(	(	PUNCT
alkej-908	131	73	1	1	NUM
alkej-908	131	74	g	g	NOUN
alkej-908	131	75	)	)	PUNCT
alkej-908	131	76	amb_temp	amb_temp	NOUN
alkej-908	132	1	(	(	PUNCT
alkej-908	132	2	oc	oc	NOUN
alkej-908	132	3	)	)	PUNCT
alkej-908	132	4	object_temp	object_temp	NOUN
alkej-908	132	5	(	(	PUNCT
alkej-908	132	6	oc	oc	NOUN
alkej-908	132	7	)	)	PUNCT
alkej-908	132	8	current	current	ADJ
alkej-908	132	9	(	(	PUNCT
alkej-908	132	10	amp	amp	PROPN
alkej-908	132	11	.	.	PUNCT
alkej-908	132	12	)	)	PUNCT
alkej-908	133	1	failure	failure	NOUN
alkej-908	133	2	type	type	NOUN
alkej-908	133	3	1	1	NUM
alkej-908	133	4	3.656	3.656	NUM
alkej-908	133	5	-1.125	-1.125	NOUN
alkej-908	133	6	-7.156	-7.156	NOUN
alkej-908	133	7	22.35	22.35	NUM
alkej-908	133	8	51.69	51.69	NUM
alkej-908	133	9	0.586	0.586	NUM
alkej-908	133	10	no	no	DET
alkej-908	133	11	failure	failure	NOUN
alkej-908	133	12	2	2	NUM
alkej-908	133	13	0.593	0.593	NUM
alkej-908	133	14	-0.625	-0.625	NOUN
alkej-908	133	15	-7.187	-7.187	PUNCT
alkej-908	133	16	22.38	22.38	NUM
alkej-908	133	17	51.53	51.53	NUM
alkej-908	133	18	0.587	0.587	NUM
alkej-908	133	19	no	no	DET
alkej-908	133	20	failure	failure	NOUN
alkej-908	133	21	3	3	NUM
alkej-908	133	22	-2.5	-2.5	ADP
alkej-908	133	23	0.593	0.593	NUM
alkej-908	133	24	-6.687	-6.687	NUM
alkej-908	133	25	22.36	22.36	NUM
alkej-908	133	26	51.61	51.61	NUM
alkej-908	133	27	0.610	0.610	NUM
alkej-908	133	28	no	no	DET
alkej-908	133	29	failure	failure	NOUN
alkej-908	133	30	4	4	NUM
alkej-908	133	31	2.781	2.781	NUM
alkej-908	133	32	-1.281	-1.281	NUM
alkej-908	133	33	-6.812	-6.812	PROPN
alkej-908	133	34	22.36	22.36	NUM
alkej-908	133	35	51.63	51.63	NUM
alkej-908	133	36	0.519	0.519	NUM
alkej-908	133	37	no	no	DET
alkej-908	133	38	failure	failure	NOUN
alkej-908	133	39	5	5	NUM
alkej-908	133	40	2.156	2.156	NUM
alkej-908	133	41	-0.687	-0.687	NOUN
alkej-908	133	42	-7.343	-7.343	NOUN
alkej-908	133	43	22.38	22.38	NUM
alkej-908	133	44	51.49	51.49	NUM
alkej-908	133	45	0.558	0.558	NUM
alkej-908	133	46	no	no	DET
alkej-908	133	47	failure	failure	NOUN
alkej-908	133	48	6	6	NUM
alkej-908	133	49	-2.25	-2.25	NUM
alkej-908	133	50	1.062	1.062	NUM
alkej-908	133	51	-6.937	-6.937	PUNCT
alkej-908	133	52	22.36	22.36	NUM
alkej-908	133	53	51.67	51.67	NUM
alkej-908	133	54	0.606	0.606	NUM
alkej-908	133	55	no	no	DET
alkej-908	133	56	failure	failure	NOUN
alkej-908	133	57	7	7	NUM
alkej-908	133	58	-1.906	-1.906	NUM
alkej-908	133	59	0.687	0.687	NUM
alkej-908	133	60	-1.406	-1.406	PUNCT
alkej-908	133	61	22.88	22.88	NUM
alkej-908	133	62	53.03	53.03	NUM
alkej-908	133	63	0.569	0.569	NUM
alkej-908	133	64	vibration	vibration	NOUN
alkej-908	133	65	failure	failure	NOUN
alkej-908	133	66	8	8	NUM
alkej-908	133	67	4.781	4.781	NUM
alkej-908	133	68	-1.562	-1.562	PUNCT
alkej-908	133	69	-8.031	-8.031	VERB
alkej-908	133	70	23.15	23.15	NUM
alkej-908	133	71	55.35	55.35	NUM
alkej-908	133	72	1.339	1.339	NUM
alkej-908	133	73	over	over	ADP
alkej-908	133	74	current	current	ADJ
alkej-908	133	75	failure	failure	NOUN
alkej-908	133	76	9	9	NUM
alkej-908	133	77	0.718	0.718	NUM
alkej-908	133	78	-0.406	-0.406	NUM
alkej-908	133	79	-6.875	-6.875	PRON
alkej-908	133	80	23.81	23.81	NUM
alkej-908	133	81	65.53	65.53	NUM
alkej-908	133	82	1.041	1.041	NUM
alkej-908	133	83	bush	bush	PROPN
alkej-908	133	84	failure	failure	NOUN
alkej-908	133	85	10	10	NUM
alkej-908	133	86	-16	-16	NUM
alkej-908	133	87	-16	-16	PUNCT
alkej-908	133	88	-11.375	-11.375	PROPN
alkej-908	133	89	23.74	23.74	NUM
alkej-908	133	90	54.89	54.89	NUM
alkej-908	133	91	0.672	0.672	NUM
alkej-908	133	92	stop	stop	VERB
alkej-908	133	93	rotating	rotate	VERB
alkej-908	133	94	failure	failure	NOUN
alkej-908	133	95	2.2	2.2	NUM
alkej-908	133	96	outliers	outlier	NOUN
alkej-908	133	97	inspection	inspection	VERB
alkej-908	133	98	the	the	DET
alkej-908	133	99	goal	goal	NOUN
alkej-908	133	100	of	of	ADP
alkej-908	133	101	this	this	DET
alkej-908	133	102	section	section	NOUN
alkej-908	133	103	is	be	AUX
alkej-908	133	104	to	to	PART
alkej-908	133	105	check	check	VERB
alkej-908	133	106	if	if	SCONJ
alkej-908	133	107	the	the	DET
alkej-908	133	108	dataset	dataset	NOUN
alkej-908	133	109	contains	contain	VERB
alkej-908	133	110	any	any	DET
alkej-908	133	111	outliers	outlier	NOUN
alkej-908	133	112	,	,	PUNCT
alkej-908	133	113	which	which	PRON
alkej-908	133	114	are	be	AUX
alkej-908	133	115	usually	usually	ADV
alkej-908	133	116	misleading	mislead	VERB
alkej-908	133	117	for	for	ADP
alkej-908	133	118	machine	machine	NOUN
alkej-908	133	119	learning	learning	NOUN
alkej-908	133	120	algorithms	algorithm	NOUN
alkej-908	133	121	.	.	PUNCT
alkej-908	134	1	we	we	PRON
alkej-908	134	2	start	start	VERB
alkej-908	134	3	by	by	ADP
alkej-908	134	4	examining	examine	VERB
alkej-908	134	5	a	a	DET
alkej-908	134	6	statistical	statistical	ADJ
alkej-908	134	7	analysis	analysis	NOUN
alkej-908	134	8	of	of	ADP
alkej-908	134	9	the	the	DET
alkej-908	134	10	numerical	numerical	ADJ
alkej-908	134	11	characteristics	characteristic	NOUN
alkej-908	134	12	.	.	PUNCT
alkej-908	135	1	it	it	PRON
alkej-908	135	2	is	be	AUX
alkej-908	135	3	possible	possible	ADJ
alkej-908	135	4	to	to	PART
alkej-908	135	5	infer	infer	VERB
alkej-908	135	6	the	the	DET
alkej-908	135	7	potential	potential	ADJ
alkej-908	135	8	existence	existence	NOUN
alkej-908	135	9	of	of	ADP
alkej-908	135	10	outliers	outlier	NOUN
alkej-908	135	11	in	in	ADP
alkej-908	135	12	both	both	CCONJ
alkej-908	135	13	the	the	DET
alkej-908	135	14	x	x	ADJ
alkej-908	135	15	-	-	ADJ
alkej-908	135	16	axis	axis	ADJ
alkej-908	135	17	acceleration	acceleration	NOUN
alkej-908	135	18	and	and	CCONJ
alkej-908	135	19	object	object	VERB
alkej-908	135	20	temperature	temperature	NOUN
alkej-908	135	21	due	due	ADP
alkej-908	135	22	to	to	ADP
alkej-908	135	23	the	the	DET
alkej-908	135	24	substantial	substantial	ADJ
alkej-908	135	25	disparity	disparity	NOUN
alkej-908	135	26	between	between	ADP
alkej-908	135	27	the	the	DET
alkej-908	135	28	maximum	maximum	ADJ
alkej-908	135	29	value	value	NOUN
alkej-908	135	30	and	and	CCONJ
alkej-908	135	31	the	the	DET
alkej-908	135	32	third	third	ADJ
alkej-908	135	33	quartile	quartile	NOUN
alkej-908	135	34	.	.	PUNCT
alkej-908	136	1	to	to	PART
alkej-908	136	2	provide	provide	VERB
alkej-908	136	3	a	a	DET
alkej-908	136	4	clearer	clear	ADJ
alkej-908	136	5	perspective	perspective	NOUN
alkej-908	136	6	on	on	ADP
alkej-908	136	7	this	this	PRON
alkej-908	136	8	,	,	PUNCT
alkej-908	136	9	we	we	PRON
alkej-908	136	10	delve	delve	VERB
alkej-908	136	11	deeper	deeply	ADV
alkej-908	136	12	into	into	ADP
alkej-908	136	13	the	the	DET
alkej-908	136	14	data	datum	NOUN
alkej-908	136	15	using	use	VERB
alkej-908	136	16	boxplots	boxplot	NOUN
alkej-908	136	17	to	to	PART
alkej-908	136	18	gain	gain	VERB
alkej-908	136	19	insights	insight	NOUN
alkej-908	136	20	into	into	ADP
alkej-908	136	21	the	the	DET
alkej-908	136	22	distribution	distribution	NOUN
alkej-908	136	23	,	,	PUNCT
alkej-908	136	24	as	as	SCONJ
alkej-908	136	25	illustrated	illustrate	VERB
alkej-908	136	26	in	in	ADP
alkej-908	136	27	figure	figure	NOUN
alkej-908	136	28	1	1	NUM
alkej-908	136	29	,	,	PUNCT
alkej-908	136	30	however	however	ADV
alkej-908	136	31	,	,	PUNCT
alkej-908	136	32	in	in	ADP
alkej-908	136	33	the	the	DET
alkej-908	136	34	case	case	NOUN
alkej-908	136	35	of	of	ADP
alkej-908	136	36	acceleration	acceleration	NOUN
alkej-908	136	37	in	in	ADP
alkej-908	136	38	xaxis	xaxis	PROPN
alkej-908	136	39	,	,	PUNCT
alkej-908	136	40	there	there	PRON
alkej-908	136	41	are	be	VERB
alkej-908	136	42	probably	probably	ADV
alkej-908	136	43	traceable	traceable	ADJ
alkej-908	136	44	outliers	outlier	NOUN
alkej-908	136	45	to	to	ADP
alkej-908	136	46	the	the	DET
alkej-908	136	47	way	way	NOUN
alkej-908	136	48	outliers	outlier	NOUN
alkej-908	136	49	are	be	AUX
alkej-908	136	50	detected	detect	VERB
alkej-908	136	51	using	use	VERB
alkej-908	136	52	boxplots	boxplot	NOUN
alkej-908	136	53	.	.	PUNCT
alkej-908	137	1	in	in	ADP
alkej-908	137	2	the	the	DET
alkej-908	137	3	case	case	NOUN
alkej-908	137	4	of	of	ADP
alkej-908	137	5	object	object	NOUN
alkej-908	137	6	temperature	temperature	NOUN
alkej-908	137	7	,	,	PUNCT
alkej-908	137	8	the	the	DET
alkej-908	137	9	gaussian	gaussian	ADJ
alkej-908	137	10	distribution	distribution	NOUN
alkej-908	137	11	is	be	AUX
alkej-908	137	12	skewed	skew	VERB
alkej-908	137	13	and	and	CCONJ
alkej-908	137	14	it	it	PRON
alkej-908	137	15	is	be	AUX
alkej-908	137	16	not	not	PART
alkej-908	137	17	unrealistic	unrealistic	ADJ
alkej-908	137	18	to	to	PART
alkej-908	137	19	think	think	VERB
alkej-908	137	20	that	that	SCONJ
alkej-908	137	21	the	the	DET
alkej-908	137	22	few	few	ADJ
alkej-908	137	23	observations	observation	NOUN
alkej-908	137	24	with	with	ADP
alkej-908	137	25	medium	medium	ADJ
alkej-908	137	26	object	object	NOUN
alkej-908	137	27	temperatures	temperature	NOUN
alkej-908	137	28	are	be	AUX
alkej-908	137	29	going	go	VERB
alkej-908	137	30	to	to	PART
alkej-908	137	31	fail	fail	VERB
alkej-908	137	32	.	.	PUNCT
alkej-908	138	1	as	as	ADP
alkej-908	138	2	a	a	DET
alkej-908	138	3	result	result	NOUN
alkej-908	138	4	,	,	PUNCT
alkej-908	138	5	the	the	DET
alkej-908	138	6	outliers	outlier	NOUN
alkej-908	138	7	were	be	AUX
alkej-908	138	8	retained	retain	VERB
alkej-908	138	9	and	and	CCONJ
alkej-908	138	10	reserved	reserve	VERB
alkej-908	138	11	the	the	DET
alkej-908	138	12	discretion	discretion	NOUN
alkej-908	138	13	to	to	PART
alkej-908	138	14	determine	determine	VERB
alkej-908	138	15	whether	whether	SCONJ
alkej-908	138	16	to	to	PART
alkej-908	138	17	take	take	VERB
alkej-908	138	18	any	any	DET
alkej-908	138	19	action	action	NOUN
alkej-908	138	20	on	on	ADP
alkej-908	138	21	them	they	PRON
alkej-908	138	22	after	after	ADP
alkej-908	138	23	evaluating	evaluate	VERB
alkej-908	138	24	other	other	ADJ
alkej-908	138	25	factors	factor	NOUN
alkej-908	138	26	.	.	PUNCT
alkej-908	139	1	noor	noor	PROPN
alkej-908	139	2	a.	a.	PROPN
alkej-908	139	3	mohammed	mohammed	PROPN
alkej-908	139	4	al	al	PROPN
alkej-908	139	5	-	-	PUNCT
alkej-908	139	6	khwarizmi	khwarizmi	PROPN
alkej-908	139	7	engineering	engineering	NOUN
alkej-908	139	8	journal	journal	PROPN
alkej-908	139	9	,	,	PUNCT
alkej-908	139	10	vol	vol	NOUN
alkej-908	139	11	.	.	PROPN
alkej-908	139	12	20	20	NUM
alkej-908	139	13	,	,	PUNCT
alkej-908	139	14	no.2	no.2	PROPN
alkej-908	139	15	,	,	PUNCT
alkej-908	139	16	p.p	p.p	PROPN
alkej-908	139	17	.	.	NOUN
alkej-908	139	18	2638(2024	2638(2024	NUM
alkej-908	139	19	)	)	PUNCT
alkej-908	139	20	31	31	NUM
alkej-908	139	21	fig	fig	NOUN
alkej-908	139	22	.	.	PUNCT
alkej-908	140	1	1	1	NUM
alkej-908	140	2	.	.	X
alkej-908	140	3	numeric	numeric	ADJ
alkej-908	140	4	features	feature	NOUN
alkej-908	140	5	boxplots	boxplot	NOUN
alkej-908	140	6	.	.	PUNCT
alkej-908	141	1	2.3	2.3	NUM
alkej-908	141	2	resampling	resample	VERB
alkej-908	141	3	with	with	ADP
alkej-908	141	4	smote	smote	ADJ
alkej-908	141	5	resampling	resampling	NOUN
alkej-908	141	6	with	with	ADP
alkej-908	141	7	the	the	DET
alkej-908	141	8	synthetic	synthetic	ADJ
alkej-908	141	9	minority	minority	NOUN
alkej-908	141	10	oversampling	oversample	VERB
alkej-908	141	11	technique	technique	NOUN
alkej-908	141	12	(	(	PUNCT
alkej-908	141	13	smote	smote	NOUN
alkej-908	141	14	)	)	PUNCT
alkej-908	141	15	is	be	AUX
alkej-908	141	16	an	an	DET
alkej-908	141	17	important	important	ADJ
alkej-908	141	18	consideration	consideration	NOUN
alkej-908	141	19	considering	consider	VERB
alkej-908	141	20	the	the	DET
alkej-908	141	21	extremely	extremely	ADV
alkej-908	141	22	low	low	ADJ
alkej-908	141	23	occurrence	occurrence	NOUN
alkej-908	141	24	of	of	ADP
alkej-908	141	25	machine	machine	NOUN
alkej-908	141	26	failures	failure	NOUN
alkej-908	141	27	among	among	ADP
alkej-908	141	28	the	the	DET
alkej-908	141	29	entire	entire	ADJ
alkej-908	141	30	dataset	dataset	NOUN
alkej-908	141	31	.	.	PUNCT
alkej-908	142	1	when	when	SCONJ
alkej-908	142	2	addressing	address	VERB
alkej-908	142	3	machine	machine	NOUN
alkej-908	142	4	learning	learning	NOUN
alkej-908	142	5	challenges	challenge	NOUN
alkej-908	142	6	,	,	PUNCT
alkej-908	142	7	the	the	DET
alkej-908	142	8	issue	issue	NOUN
alkej-908	142	9	of	of	ADP
alkej-908	142	10	class	class	NOUN
alkej-908	142	11	imbalance	imbalance	NOUN
alkej-908	142	12	becomes	become	VERB
alkej-908	142	13	a	a	DET
alkej-908	142	14	significant	significant	ADJ
alkej-908	142	15	concern	concern	NOUN
alkej-908	142	16	.	.	PUNCT
alkej-908	143	1	this	this	DET
alkej-908	143	2	imbalance	imbalance	NOUN
alkej-908	143	3	can	can	AUX
alkej-908	143	4	distort	distort	VERB
alkej-908	143	5	both	both	DET
alkej-908	143	6	the	the	DET
alkej-908	143	7	training	training	NOUN
alkej-908	143	8	process	process	NOUN
alkej-908	143	9	of	of	ADP
alkej-908	143	10	models	model	NOUN
alkej-908	143	11	and	and	CCONJ
alkej-908	143	12	our	our	PRON
alkej-908	143	13	ability	ability	NOUN
alkej-908	143	14	to	to	PART
alkej-908	143	15	interpret	interpret	VERB
alkej-908	143	16	their	their	PRON
alkej-908	143	17	outcomes	outcome	NOUN
alkej-908	143	18	.	.	PUNCT
alkej-908	144	1	for	for	ADP
alkej-908	144	2	instance	instance	NOUN
alkej-908	144	3	,	,	PUNCT
alkej-908	144	4	if	if	SCONJ
alkej-908	144	5	we	we	PRON
alkej-908	144	6	create	create	VERB
alkej-908	144	7	a	a	DET
alkej-908	144	8	model	model	NOUN
alkej-908	144	9	using	use	VERB
alkej-908	144	10	a	a	DET
alkej-908	144	11	dataset	dataset	NOUN
alkej-908	144	12	that	that	PRON
alkej-908	144	13	predicts	predict	VERB
alkej-908	144	14	machines	machine	NOUN
alkej-908	144	15	will	will	AUX
alkej-908	144	16	never	never	ADV
alkej-908	144	17	malfunction	malfunction	VERB
alkej-908	144	18	,	,	PUNCT
alkej-908	144	19	it	it	PRON
alkej-908	144	20	might	might	AUX
alkej-908	144	21	seem	seem	VERB
alkej-908	144	22	accurate	accurate	ADJ
alkej-908	144	23	on	on	ADP
alkej-908	144	24	the	the	DET
alkej-908	144	25	surface	surface	NOUN
alkej-908	144	26	.	.	PUNCT
alkej-908	145	1	to	to	PART
alkej-908	145	2	mitigate	mitigate	VERB
alkej-908	145	3	these	these	DET
alkej-908	145	4	issues	issue	NOUN
alkej-908	145	5	and	and	CCONJ
alkej-908	145	6	minimize	minimize	VERB
alkej-908	145	7	biased	biased	ADJ
alkej-908	145	8	model	model	NOUN
alkej-908	145	9	behavior	behavior	NOUN
alkej-908	145	10	toward	toward	ADP
alkej-908	145	11	specific	specific	ADJ
alkej-908	145	12	classes	class	NOUN
alkej-908	145	13	,	,	PUNCT
alkej-908	145	14	we	we	PRON
alkej-908	145	15	employ	employ	VERB
alkej-908	145	16	data	datum	NOUN
alkej-908	145	17	augmentation	augmentation	NOUN
alkej-908	145	18	.	.	PUNCT
alkej-908	146	1	the	the	DET
alkej-908	146	2	goal	goal	NOUN
alkej-908	146	3	is	be	AUX
alkej-908	146	4	to	to	PART
alkej-908	146	5	achieve	achieve	VERB
alkej-908	146	6	an	an	DET
alkej-908	146	7	80	80	NUM
alkej-908	146	8	-	-	SYM
alkej-908	146	9	20	20	NUM
alkej-908	146	10	ratio	ratio	NOUN
alkej-908	146	11	between	between	ADP
alkej-908	146	12	functioning	function	VERB
alkej-908	146	13	and	and	CCONJ
alkej-908	146	14	faulty	faulty	ADJ
alkej-908	146	15	observations	observation	NOUN
alkej-908	146	16	,	,	PUNCT
alkej-908	146	17	along	along	ADP
alkej-908	146	18	with	with	ADP
alkej-908	146	19	an	an	DET
alkej-908	146	20	equal	equal	ADJ
alkej-908	146	21	occurrence	occurrence	NOUN
alkej-908	146	22	percentage	percentage	NOUN
alkej-908	146	23	among	among	ADP
alkej-908	146	24	the	the	DET
alkej-908	146	25	various	various	ADJ
alkej-908	146	26	failure	failure	NOUN
alkej-908	146	27	causes	cause	VERB
alkej-908	146	28	.	.	PUNCT
alkej-908	147	1	the	the	DET
alkej-908	147	2	smote	smote	ADJ
alkej-908	147	3	procedure	procedure	NOUN
alkej-908	147	4	operates	operate	VERB
alkej-908	147	5	as	as	SCONJ
alkej-908	147	6	follows	follow	VERB
alkej-908	147	7	:	:	PUNCT
alkej-908	147	8	it	it	PRON
alkej-908	147	9	randomly	randomly	ADV
alkej-908	147	10	selects	select	VERB
alkej-908	147	11	a	a	DET
alkej-908	147	12	subset	subset	NOUN
alkej-908	147	13	from	from	ADP
alkej-908	147	14	the	the	DET
alkej-908	147	15	minority	minority	NOUN
alkej-908	147	16	class	class	NOUN
alkej-908	147	17	and	and	CCONJ
alkej-908	147	18	identifies	identify	VERB
alkej-908	147	19	the	the	DET
alkej-908	147	20	k	k	PROPN
alkej-908	147	21	nearest	near	ADJ
alkej-908	147	22	neighbors	neighbor	NOUN
alkej-908	147	23	for	for	ADP
alkej-908	147	24	each	each	DET
alkej-908	147	25	observation	observation	NOUN
alkej-908	147	26	in	in	ADP
alkej-908	147	27	this	this	DET
alkej-908	147	28	subset	subset	NOUN
alkej-908	147	29	.	.	PUNCT
alkej-908	148	1	next	next	ADV
alkej-908	148	2	,	,	PUNCT
alkej-908	148	3	it	it	PRON
alkej-908	148	4	selects	select	VERB
alkej-908	148	5	one	one	NUM
alkej-908	148	6	of	of	ADP
alkej-908	148	7	these	these	DET
alkej-908	148	8	neighbors	neighbor	NOUN
alkej-908	148	9	and	and	CCONJ
alkej-908	148	10	calculates	calculate	VERB
alkej-908	148	11	the	the	DET
alkej-908	148	12	vector	vector	NOUN
alkej-908	148	13	connecting	connect	VERB
alkej-908	148	14	the	the	DET
alkej-908	148	15	current	current	ADJ
alkej-908	148	16	data	datum	NOUN
alkej-908	148	17	point	point	NOUN
alkej-908	148	18	to	to	ADP
alkej-908	148	19	the	the	DET
alkej-908	148	20	chosen	choose	VERB
alkej-908	148	21	neighbor	neighbor	NOUN
alkej-908	148	22	.	.	PUNCT
alkej-908	149	1	this	this	DET
alkej-908	149	2	vector	vector	NOUN
alkej-908	149	3	is	be	AUX
alkej-908	149	4	then	then	ADV
alkej-908	149	5	scaled	scale	VERB
alkej-908	149	6	by	by	ADP
alkej-908	149	7	a	a	DET
alkej-908	149	8	random	random	ADJ
alkej-908	149	9	value	value	NOUN
alkej-908	149	10	ranging	range	VERB
alkej-908	149	11	from	from	ADP
alkej-908	149	12	0	0	NUM
alkej-908	149	13	to	to	ADP
alkej-908	149	14	1	1	NUM
alkej-908	149	15	.	.	PUNCT
alkej-908	150	1	the	the	DET
alkej-908	150	2	synthetic	synthetic	ADJ
alkej-908	150	3	data	data	NOUN
alkej-908	150	4	point	point	NOUN
alkej-908	150	5	is	be	AUX
alkej-908	150	6	generated	generate	VERB
alkej-908	150	7	by	by	ADP
alkej-908	150	8	adding	add	VERB
alkej-908	150	9	this	this	DET
alkej-908	150	10	scaled	scale	VERB
alkej-908	150	11	vector	vector	NOUN
alkej-908	150	12	to	to	ADP
alkej-908	150	13	the	the	DET
alkej-908	150	14	current	current	ADJ
alkej-908	150	15	data	data	NOUN
alkej-908	150	16	point	point	NOUN
alkej-908	150	17	.	.	PUNCT
alkej-908	151	1	the	the	DET
alkej-908	151	2	result	result	NOUN
alkej-908	151	3	of	of	ADP
alkej-908	151	4	resampling	resampling	NOUN
alkej-908	151	5	is	be	AUX
alkej-908	151	6	shown	show	VERB
alkej-908	151	7	in	in	ADP
alkej-908	151	8	figure	figure	NOUN
alkej-908	151	9	2	2	NUM
alkej-908	151	10	.	.	PUNCT
alkej-908	151	11	fig	fig	NOUN
alkej-908	151	12	.	.	PUNCT
alkej-908	152	1	2	2	X
alkej-908	152	2	.	.	X
alkej-908	152	3	causes	cause	NOUN
alkej-908	152	4	involved	involve	VERB
alkej-908	152	5	in	in	ADP
alkej-908	152	6	machine	machine	NOUN
alkej-908	152	7	failures	failure	NOUN
alkej-908	152	8	.	.	PUNCT
alkej-908	153	1	noor	noor	PROPN
alkej-908	153	2	a.	a.	PROPN
alkej-908	153	3	mohammed	mohammed	PROPN
alkej-908	153	4	al	al	PROPN
alkej-908	153	5	-	-	PUNCT
alkej-908	153	6	khwarizmi	khwarizmi	PROPN
alkej-908	153	7	engineering	engineering	NOUN
alkej-908	153	8	journal	journal	PROPN
alkej-908	153	9	,	,	PUNCT
alkej-908	153	10	vol	vol	NOUN
alkej-908	153	11	.	.	PROPN
alkej-908	153	12	20	20	NUM
alkej-908	153	13	,	,	PUNCT
alkej-908	153	14	no.2	no.2	PROPN
alkej-908	153	15	,	,	PUNCT
alkej-908	153	16	p.p	p.p	PROPN
alkej-908	153	17	.	.	NOUN
alkej-908	153	18	2638(2024	2638(2024	NUM
alkej-908	153	19	)	)	PUNCT
alkej-908	153	20	32	32	NUM
alkej-908	153	21	2.4	2.4	NUM
alkej-908	153	22	metrics	metric	NOUN
alkej-908	153	23	to	to	PART
alkej-908	153	24	evaluate	evaluate	VERB
alkej-908	153	25	the	the	DET
alkej-908	153	26	models	model	NOUN
alkej-908	153	27	,	,	PUNCT
alkej-908	153	28	we	we	PRON
alkej-908	153	29	used	use	VERB
alkej-908	153	30	from	from	ADP
alkej-908	153	31	a	a	DET
alkej-908	153	32	quantitative	quantitative	ADJ
alkej-908	153	33	point	point	NOUN
alkej-908	153	34	of	of	ADP
alkej-908	153	35	view	view	NOUN
alkej-908	153	36	,	,	PUNCT
alkej-908	153	37	some	some	DET
alkej-908	153	38	metrics	metric	NOUN
alkej-908	153	39	that	that	PRON
alkej-908	153	40	summarized	summarize	VERB
alkej-908	153	41	some	some	DET
alkej-908	153	42	characteristics	characteristic	NOUN
alkej-908	153	43	of	of	ADP
alkej-908	153	44	the	the	DET
alkej-908	153	45	classification	classification	NOUN
alkej-908	153	46	results	result	NOUN
alkej-908	153	47	:	:	PUNCT
alkej-908	153	48	accuracy	accuracy	NOUN
alkej-908	153	49	:	:	PUNCT
alkej-908	153	50	expresses	express	VERB
alkej-908	153	51	the	the	DET
alkej-908	153	52	fraction	fraction	NOUN
alkej-908	153	53	of	of	ADP
alkej-908	153	54	instances	instance	NOUN
alkej-908	153	55	that	that	PRON
alkej-908	153	56	are	be	AUX
alkej-908	153	57	classified	classify	VERB
alkej-908	153	58	correctly	correctly	ADV
alkej-908	153	59	;	;	PUNCT
alkej-908	153	60	it	it	PRON
alkej-908	153	61	is	be	AUX
alkej-908	153	62	the	the	DET
alkej-908	153	63	most	most	ADV
alkej-908	153	64	intuitive	intuitive	ADJ
alkej-908	153	65	metric	metric	NOUN
alkej-908	153	66	that	that	PRON
alkej-908	153	67	is	be	AUX
alkej-908	153	68	usually	usually	ADV
alkej-908	153	69	used	use	VERB
alkej-908	153	70	in	in	ADP
alkej-908	153	71	classification	classification	NOUN
alkej-908	153	72	tasks	task	NOUN
alkej-908	153	73	[	[	X
alkej-908	153	74	17	17	NUM
alkej-908	153	75	]	]	PUNCT
alkej-908	153	76	.	.	PUNCT
alkej-908	154	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
alkej-908	154	2	=	=	PUNCT
alkej-908	154	3	tp+tn	tp+tn	NUM
alkej-908	154	4	tp+tn+fp+fn	tp+tn+fp+fn	PROPN
alkej-908	154	5	…	…	PUNCT
alkej-908	154	6	(	(	PUNCT
alkej-908	154	7	1	1	NUM
alkej-908	154	8	)	)	PUNCT
alkej-908	154	9	where	where	SCONJ
alkej-908	154	10	:	:	PUNCT
alkej-908	154	11	true	true	ADJ
alkej-908	154	12	positive	positive	ADJ
alkej-908	154	13	(	(	PUNCT
alkej-908	154	14	tp	tp	NOUN
alkej-908	154	15	):	):	PUNCT
alkej-908	154	16	when	when	SCONJ
alkej-908	154	17	both	both	CCONJ
alkej-908	154	18	the	the	DET
alkej-908	154	19	actual	actual	ADJ
alkej-908	154	20	and	and	CCONJ
alkej-908	154	21	predicted	predict	VERB
alkej-908	154	22	values	value	NOUN
alkej-908	154	23	are	be	AUX
alkej-908	154	24	1	1	NUM
alkej-908	154	25	.	.	PUNCT
alkej-908	154	26	true	true	ADJ
alkej-908	154	27	negative	negative	ADJ
alkej-908	154	28	(	(	PUNCT
alkej-908	154	29	tn	tn	NOUN
alkej-908	154	30	):	):	PUNCT
alkej-908	154	31	when	when	SCONJ
alkej-908	154	32	both	both	CCONJ
alkej-908	154	33	the	the	DET
alkej-908	154	34	actual	actual	ADJ
alkej-908	154	35	and	and	CCONJ
alkej-908	154	36	predicted	predict	VERB
alkej-908	154	37	values	value	NOUN
alkej-908	154	38	are	be	AUX
alkej-908	154	39	0	0	NUM
alkej-908	154	40	.	.	PUNCT
alkej-908	155	1	false	false	ADJ
alkej-908	155	2	positive	positive	ADJ
alkej-908	155	3	(	(	PUNCT
alkej-908	155	4	fp	fp	NOUN
alkej-908	155	5	):	):	PUNCT
alkej-908	155	6	when	when	SCONJ
alkej-908	155	7	the	the	DET
alkej-908	155	8	actual	actual	ADJ
alkej-908	155	9	value	value	NOUN
alkej-908	155	10	is	be	AUX
alkej-908	155	11	0	0	NUM
alkej-908	156	1	but	but	CCONJ
alkej-908	156	2	the	the	DET
alkej-908	156	3	predicted	predict	VERB
alkej-908	156	4	value	value	NOUN
alkej-908	156	5	is	be	AUX
alkej-908	156	6	1	1	NUM
alkej-908	156	7	.	.	NOUN
alkej-908	156	8	false	false	ADJ
alkej-908	156	9	negative	negative	ADJ
alkej-908	156	10	(	(	PUNCT
alkej-908	156	11	fn	fn	NOUN
alkej-908	156	12	):	):	PUNCT
alkej-908	156	13	when	when	SCONJ
alkej-908	156	14	the	the	DET
alkej-908	156	15	actual	actual	ADJ
alkej-908	156	16	value	value	NOUN
alkej-908	156	17	is	be	AUX
alkej-908	156	18	1	1	NUM
alkej-908	156	19	but	but	CCONJ
alkej-908	156	20	the	the	DET
alkej-908	156	21	predicted	predict	VERB
alkej-908	156	22	value	value	NOUN
alkej-908	156	23	is	be	AUX
alkej-908	156	24	0	0	NUM
alkej-908	156	25	.	.	PUNCT
alkej-908	157	1	auc	auc	NOUN
alkej-908	157	2	:	:	PUNCT
alkej-908	157	3	can	can	AUX
alkej-908	157	4	be	be	AUX
alkej-908	157	5	considered	consider	VERB
alkej-908	157	6	as	as	ADP
alkej-908	157	7	a	a	DET
alkej-908	157	8	measure	measure	NOUN
alkej-908	157	9	of	of	ADP
alkej-908	157	10	the	the	DET
alkej-908	157	11	separation	separation	NOUN
alkej-908	157	12	between	between	ADP
alkej-908	157	13	true	true	ADJ
alkej-908	157	14	positives	positive	NOUN
alkej-908	157	15	and	and	CCONJ
alkej-908	157	16	true	true	ADJ
alkej-908	157	17	negatives	negative	NOUN
alkej-908	157	18	,	,	PUNCT
alkej-908	157	19	that	that	ADV
alkej-908	157	20	is	is	ADV
alkej-908	157	21	,	,	PUNCT
alkej-908	157	22	the	the	DET
alkej-908	157	23	ability	ability	NOUN
alkej-908	157	24	of	of	ADP
alkej-908	157	25	the	the	DET
alkej-908	157	26	model	model	NOUN
alkej-908	157	27	to	to	PART
alkej-908	157	28	distinguish	distinguish	VERB
alkej-908	157	29	between	between	ADP
alkej-908	157	30	classes	class	NOUN
alkej-908	157	31	.	.	PUNCT
alkej-908	158	1	f1	f1	NOUN
alkej-908	158	2	:	:	PUNCT
alkej-908	158	3	reports	report	VERB
alkej-908	158	4	the	the	DET
alkej-908	158	5	classification	classification	NOUN
alkej-908	158	6	capacity	capacity	NOUN
alkej-908	158	7	of	of	ADP
alkej-908	158	8	the	the	DET
alkej-908	158	9	model	model	NOUN
alkej-908	158	10	to	to	PART
alkej-908	158	11	precision	precision	NOUN
alkej-908	158	12	and	and	CCONJ
alkej-908	158	13	recall	recall	NOUN
alkej-908	158	14	,	,	PUNCT
alkej-908	158	15	giving	give	VERB
alkej-908	158	16	both	both	PRON
alkej-908	158	17	the	the	DET
alkej-908	158	18	same	same	ADJ
alkej-908	158	19	weight	weight	NOUN
alkej-908	158	20	.	.	PUNCT
alkej-908	159	1	[	[	X
alkej-908	159	2	17	17	NUM
alkej-908	159	3	]	]	X
alkej-908	159	4	𝐹1	𝐹1	PROPN
alkej-908	160	1	=	=	SYM
alkej-908	160	2	2∗	2∗	NUM
alkej-908	160	3	precison∗recall	precison∗recall	INTJ
alkej-908	160	4	precision+recall	precision+recall	PROPN
alkej-908	160	5	…	…	PUNCT
alkej-908	160	6	(	(	PUNCT
alkej-908	160	7	2	2	NUM
alkej-908	160	8	)	)	PUNCT
alkej-908	161	1	where	where	SCONJ
alkej-908	161	2	:	:	PUNCT
alkej-908	161	3	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
alkej-908	161	4	=	=	SYM
alkej-908	161	5	tp	tp	ADP
alkej-908	161	6	tp+fp	tp+fp	NUM
alkej-908	161	7	…	…	PUNCT
alkej-908	161	8	(	(	PUNCT
alkej-908	161	9	3	3	X
alkej-908	161	10	)	)	PUNCT
alkej-908	162	1	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
alkej-908	162	2	=	=	PUNCT
alkej-908	162	3	tp	tp	PART
alkej-908	162	4	tp+	tp+	VERB
alkej-908	162	5	fn	fn	NOUN
alkej-908	162	6	…	…	PUNCT
alkej-908	162	7	(	(	PUNCT
alkej-908	162	8	4	4	NUM
alkej-908	162	9	)	)	PUNCT
alkej-908	162	10	although	although	SCONJ
alkej-908	162	11	generally	generally	ADV
alkej-908	162	12	effective	effective	ADJ
alkej-908	162	13	,	,	PUNCT
alkej-908	162	14	auc	auc	NOUN
alkej-908	162	15	can	can	AUX
alkej-908	162	16	be	be	AUX
alkej-908	162	17	optimistic	optimistic	ADJ
alkej-908	162	18	in	in	ADP
alkej-908	162	19	the	the	DET
alkej-908	162	20	case	case	NOUN
alkej-908	162	21	of	of	ADP
alkej-908	162	22	highly	highly	ADV
alkej-908	162	23	unbalanced	unbalanced	ADJ
alkej-908	162	24	classes	class	NOUN
alkej-908	162	25	,	,	PUNCT
alkej-908	162	26	as	as	SCONJ
alkej-908	162	27	happens	happen	VERB
alkej-908	162	28	in	in	ADP
alkej-908	162	29	the	the	DET
alkej-908	162	30	binary	binary	ADJ
alkej-908	162	31	task	task	NOUN
alkej-908	162	32	,	,	PUNCT
alkej-908	162	33	while	while	SCONJ
alkej-908	162	34	the	the	DET
alkej-908	162	35	f1	f1	NOUN
alkej-908	162	36	score	score	NOUN
alkej-908	162	37	is	be	AUX
alkej-908	162	38	more	more	ADV
alkej-908	162	39	reliable	reliable	ADJ
alkej-908	162	40	in	in	ADP
alkej-908	162	41	this	this	DET
alkej-908	162	42	kind	kind	NOUN
alkej-908	162	43	of	of	ADP
alkej-908	162	44	scenario	scenario	NOUN
alkej-908	162	45	.	.	PUNCT
alkej-908	163	1	we	we	PRON
alkej-908	163	2	consider	consider	VERB
alkej-908	163	3	this	this	DET
alkej-908	163	4	last	last	ADJ
alkej-908	163	5	metric	metric	NOUN
alkej-908	163	6	particularly	particularly	ADV
alkej-908	163	7	significant	significant	ADJ
alkej-908	163	8	as	as	SCONJ
alkej-908	163	9	it	it	PRON
alkej-908	163	10	is	be	AUX
alkej-908	163	11	able	able	ADJ
alkej-908	163	12	to	to	PART
alkej-908	163	13	mediate	mediate	VERB
alkej-908	163	14	the	the	DET
alkej-908	163	15	cases	case	NOUN
alkej-908	163	16	in	in	ADP
alkej-908	163	17	which	which	PRON
alkej-908	163	18	the	the	DET
alkej-908	163	19	machines	machine	NOUN
alkej-908	163	20	that	that	PRON
alkej-908	163	21	are	be	AUX
alkej-908	163	22	about	about	ADJ
alkej-908	163	23	to	to	PART
alkej-908	163	24	fail	fail	VERB
alkej-908	163	25	are	be	AUX
alkej-908	163	26	classified	classify	VERB
alkej-908	163	27	as	as	ADP
alkej-908	163	28	functioning	function	VERB
alkej-908	163	29	(	(	PUNCT
alkej-908	163	30	recall	recall	NOUN
alkej-908	163	31	)	)	PUNCT
alkej-908	163	32	and	and	CCONJ
alkej-908	163	33	the	the	DET
alkej-908	163	34	ones	one	NOUN
alkej-908	163	35	in	in	ADP
alkej-908	163	36	which	which	PRON
alkej-908	163	37	functioning	function	VERB
alkej-908	163	38	machines	machine	NOUN
alkej-908	163	39	are	be	AUX
alkej-908	163	40	classified	classify	VERB
alkej-908	163	41	as	as	ADP
alkej-908	163	42	about	about	ADP
alkej-908	163	43	to	to	PART
alkej-908	163	44	suffer	suffer	VERB
alkej-908	163	45	a	a	DET
alkej-908	163	46	failure	failure	NOUN
alkej-908	163	47	(	(	PUNCT
alkej-908	163	48	precision	precision	NOUN
alkej-908	163	49	)	)	PUNCT
alkej-908	163	50	.	.	PUNCT
alkej-908	164	1	to	to	PART
alkej-908	164	2	be	be	AUX
alkej-908	164	3	more	more	ADV
alkej-908	164	4	specific	specific	ADJ
alkej-908	164	5	,	,	PUNCT
alkej-908	164	6	we	we	PRON
alkej-908	164	7	gave	give	VERB
alkej-908	164	8	more	more	ADJ
alkej-908	164	9	importance	importance	NOUN
alkej-908	164	10	to	to	PART
alkej-908	164	11	recall	recall	VERB
alkej-908	164	12	than	than	ADP
alkej-908	164	13	precision	precision	NOUN
alkej-908	164	14	by	by	ADP
alkej-908	164	15	evaluating	evaluate	VERB
alkej-908	164	16	an	an	DET
alkej-908	164	17	"	"	PUNCT
alkej-908	164	18	adjusted	adjust	VERB
alkej-908	164	19	"	"	PUNCT
alkej-908	164	20	version	version	NOUN
alkej-908	164	21	of	of	ADP
alkej-908	164	22	the	the	DET
alkej-908	164	23	f1	f1	NOUN
alkej-908	164	24	through	through	ADP
alkej-908	164	25	a	a	DET
alkej-908	164	26	β	β	X
alkej-908	164	27	parameter	parameter	NOUN
alkej-908	164	28	[	[	X
alkej-908	164	29	17	17	NUM
alkej-908	164	30	]	]	SYM
alkej-908	164	31	:	:	PUNCT
alkej-908	164	32	𝐹𝛽	𝐹𝛽	PROPN
alkej-908	164	33	=	=	SYM
alkej-908	164	34	(	(	PUNCT
alkej-908	164	35	1	1	NUM
alkej-908	164	36	+	+	NUM
alkej-908	164	37	𝛽2	𝛽2	NOUN
alkej-908	164	38	)	)	PUNCT
alkej-908	164	39	precison∗recall	precison∗recall	PROPN
alkej-908	164	40	𝛽2	𝛽2	PROPN
alkej-908	164	41	precision+recall	precision+recall	PROPN
alkej-908	164	42	…	…	PUNCT
alkej-908	164	43	(	(	PUNCT
alkej-908	164	44	5	5	NUM
alkej-908	164	45	)	)	PUNCT
alkej-908	164	46	with	with	ADP
alkej-908	164	47	the	the	DET
alkej-908	164	48	choice	choice	NOUN
alkej-908	164	49	β=2	β=2	PUNCT
alkej-908	164	50	(	(	PUNCT
alkej-908	164	51	common	common	ADJ
alkej-908	164	52	in	in	ADP
alkej-908	164	53	literature	literature	NOUN
alkej-908	164	54	)	)	PUNCT
alkej-908	164	55	a	a	DET
alkej-908	164	56	greater	great	ADJ
alkej-908	164	57	influence	influence	NOUN
alkej-908	164	58	of	of	ADP
alkej-908	164	59	the	the	DET
alkej-908	164	60	recall	recall	NOUN
alkej-908	164	61	is	be	AUX
alkej-908	164	62	obtained	obtain	VERB
alkej-908	164	63	.	.	PUNCT
alkej-908	165	1	the	the	DET
alkej-908	165	2	decision	decision	NOUN
alkej-908	165	3	to	to	PART
alkej-908	165	4	limit	limit	VERB
alkej-908	165	5	unnecessary	unnecessary	ADJ
alkej-908	165	6	replacement	replacement	NOUN
alkej-908	165	7	material	material	NOUN
alkej-908	165	8	purchases	purchase	NOUN
alkej-908	165	9	is	be	AUX
alkej-908	165	10	driven	drive	VERB
alkej-908	165	11	by	by	ADP
alkej-908	165	12	the	the	DET
alkej-908	165	13	goal	goal	NOUN
alkej-908	165	14	of	of	ADP
alkej-908	165	15	optimizing	optimize	VERB
alkej-908	165	16	machinery	machinery	NOUN
alkej-908	165	17	maintenance	maintenance	NOUN
alkej-908	165	18	costs	cost	NOUN
alkej-908	165	19	.	.	PUNCT
alkej-908	166	1	however	however	ADV
alkej-908	166	2	,	,	PUNCT
alkej-908	166	3	it	it	PRON
alkej-908	166	4	is	be	AUX
alkej-908	166	5	even	even	ADV
alkej-908	166	6	more	more	ADV
alkej-908	166	7	crucial	crucial	ADJ
alkej-908	166	8	to	to	PART
alkej-908	166	9	prevent	prevent	VERB
alkej-908	166	10	machinery	machinery	NOUN
alkej-908	166	11	breakdowns	breakdown	NOUN
alkej-908	166	12	,	,	PUNCT
alkej-908	166	13	as	as	SCONJ
alkej-908	166	14	they	they	PRON
alkej-908	166	15	typically	typically	ADV
alkej-908	166	16	entail	entail	VERB
alkej-908	166	17	higher	high	ADJ
alkej-908	166	18	expenses	expense	NOUN
alkej-908	166	19	,	,	PUNCT
alkej-908	166	20	outweighing	outweigh	VERB
alkej-908	166	21	the	the	DET
alkej-908	166	22	savings	saving	NOUN
alkej-908	166	23	from	from	ADP
alkej-908	166	24	reducing	reduce	VERB
alkej-908	166	25	replacement	replacement	NOUN
alkej-908	166	26	material	material	NOUN
alkej-908	166	27	purchases	purchase	NOUN
alkej-908	166	28	.	.	PUNCT
alkej-908	167	1	figure	figure	NOUN
alkej-908	167	2	3	3	NUM
alkej-908	167	3	shows	show	VERB
alkej-908	167	4	a	a	DET
alkej-908	167	5	flowchart	flowchart	NOUN
alkej-908	167	6	that	that	PRON
alkej-908	167	7	summarizes	summarize	VERB
alkej-908	167	8	the	the	DET
alkej-908	167	9	main	main	ADJ
alkej-908	167	10	steps	step	NOUN
alkej-908	167	11	used	use	VERB
alkej-908	167	12	in	in	ADP
alkej-908	167	13	predicting	predict	VERB
alkej-908	167	14	failures	failure	NOUN
alkej-908	167	15	in	in	ADP
alkej-908	167	16	ac	ac	PROPN
alkej-908	167	17	motors	motor	NOUN
alkej-908	167	18	using	use	VERB
alkej-908	167	19	machine	machine	NOUN
alkej-908	167	20	learning	learning	NOUN
alkej-908	167	21	algorithms	algorithm	NOUN
alkej-908	167	22	.	.	PUNCT
alkej-908	168	1	fig	fig	NOUN
alkej-908	168	2	.	.	PUNCT
alkej-908	169	1	3	3	X
alkej-908	169	2	.	.	X
alkej-908	169	3	flowchart	flowchart	NOUN
alkej-908	169	4	of	of	ADP
alkej-908	169	5	a	a	DET
alkej-908	169	6	proposed	propose	VERB
alkej-908	169	7	approach	approach	NOUN
alkej-908	169	8	.	.	PUNCT
alkej-908	170	1	3	3	X
alkej-908	170	2	.	.	NOUN
alkej-908	170	3	results	result	NOUN
alkej-908	170	4	and	and	CCONJ
alkej-908	170	5	discussion	discussion	NOUN
alkej-908	170	6	3.1	3.1	NUM
alkej-908	170	7	binary	binary	ADJ
alkej-908	170	8	task	task	NOUN
alkej-908	170	9	the	the	DET
alkej-908	170	10	goal	goal	NOUN
alkej-908	170	11	of	of	ADP
alkej-908	170	12	this	this	DET
alkej-908	170	13	section	section	NOUN
alkej-908	170	14	was	be	AUX
alkej-908	170	15	to	to	PART
alkej-908	170	16	find	find	VERB
alkej-908	170	17	the	the	DET
alkej-908	170	18	best	good	ADJ
alkej-908	170	19	model	model	NOUN
alkej-908	170	20	for	for	ADP
alkej-908	170	21	binary	binary	ADJ
alkej-908	170	22	classification	classification	NOUN
alkej-908	170	23	of	of	ADP
alkej-908	170	24	the	the	DET
alkej-908	170	25	dataset	dataset	NOUN
alkej-908	170	26	to	to	PART
alkej-908	170	27	predict	predict	VERB
alkej-908	170	28	whether	whether	SCONJ
alkej-908	170	29	or	or	CCONJ
alkej-908	170	30	not	not	PART
alkej-908	170	31	there	there	PRON
alkej-908	170	32	was	be	VERB
alkej-908	170	33	machine	machine	NOUN
alkej-908	170	34	failure	failure	NOUN
alkej-908	170	35	.	.	PUNCT
alkej-908	171	1	classification	classification	NOUN
alkej-908	171	2	algorithms	algorithm	NOUN
alkej-908	171	3	,	,	PUNCT
alkej-908	171	4	a	a	DET
alkej-908	171	5	key	key	ADJ
alkej-908	171	6	component	component	NOUN
alkej-908	171	7	of	of	ADP
alkej-908	171	8	data	datum	NOUN
alkej-908	171	9	mining	mining	NOUN
alkej-908	171	10	,	,	PUNCT
alkej-908	171	11	employ	employ	VERB
alkej-908	171	12	supervised	supervised	ADJ
alkej-908	171	13	machine	machine	NOUN
alkej-908	171	14	learning	learn	VERB
alkej-908	171	15	techniques	technique	NOUN
alkej-908	171	16	to	to	PART
alkej-908	171	17	forecast	forecast	VERB
alkej-908	171	18	data	datum	NOUN
alkej-908	171	19	outcomes	outcome	NOUN
alkej-908	171	20	.	.	PUNCT
alkej-908	172	1	they	they	PRON
alkej-908	172	2	operate	operate	VERB
alkej-908	172	3	by	by	ADP
alkej-908	172	4	utilizing	utilize	VERB
alkej-908	172	5	a	a	DET
alkej-908	172	6	pre	pre	ADJ
alkej-908	172	7	-	-	ADJ
alkej-908	172	8	labeled	labeled	ADJ
alkej-908	172	9	dataset	dataset	NOUN
alkej-908	172	10	containing	contain	VERB
alkej-908	172	11	multiple	multiple	ADJ
alkej-908	172	12	classes	class	NOUN
alkej-908	172	13	or	or	CCONJ
alkej-908	172	14	categories	category	NOUN
alkej-908	172	15	,	,	PUNCT
alkej-908	172	16	constructing	construct	VERB
alkej-908	172	17	a	a	DET
alkej-908	172	18	classification	classification	NOUN
alkej-908	172	19	model	model	NOUN
alkej-908	172	20	based	base	VERB
alkej-908	172	21	on	on	ADP
alkej-908	172	22	this	this	DET
alkej-908	172	23	input	input	NOUN
alkej-908	172	24	,	,	PUNCT
alkej-908	172	25	and	and	CCONJ
alkej-908	172	26	subsequently	subsequently	ADV
alkej-908	172	27	applying	apply	VERB
alkej-908	172	28	it	it	PRON
alkej-908	172	29	to	to	ADP
alkej-908	172	30	new	new	ADJ
alkej-908	172	31	,	,	PUNCT
alkej-908	172	32	unlabeled	unlabeled	ADJ
alkej-908	172	33	data	datum	NOUN
alkej-908	172	34	to	to	PART
alkej-908	172	35	determine	determine	VERB
alkej-908	172	36	their	their	PRON
alkej-908	172	37	respective	respective	ADJ
alkej-908	172	38	class	class	NOUN
alkej-908	172	39	assignments	assignment	NOUN
alkej-908	172	40	.	.	PUNCT
alkej-908	173	1	typically	typically	ADV
alkej-908	173	2	,	,	PUNCT
alkej-908	173	3	the	the	DET
alkej-908	173	4	initial	initial	ADJ
alkej-908	173	5	dataset	dataset	NOUN
alkej-908	173	6	is	be	AUX
alkej-908	173	7	partitioned	partition	VERB
alkej-908	173	8	into	into	ADP
alkej-908	173	9	three	three	NUM
alkej-908	173	10	sets	set	NOUN
alkej-908	173	11	:	:	PUNCT
alkej-908	173	12	the	the	DET
alkej-908	173	13	training	training	NOUN
alkej-908	173	14	set	set	NOUN
alkej-908	173	15	,	,	PUNCT
alkej-908	173	16	used	use	VERB
alkej-908	173	17	for	for	ADP
alkej-908	173	18	model	model	NOUN
alkej-908	173	19	training	training	NOUN
alkej-908	173	20	;	;	PUNCT
alkej-908	173	21	the	the	DET
alkej-908	173	22	validation	validation	NOUN
alkej-908	173	23	set	set	NOUN
alkej-908	173	24	,	,	PUNCT
alkej-908	173	25	employed	employ	VERB
alkej-908	173	26	to	to	ADP
alkej-908	173	27	fine	fine	ADJ
alkej-908	173	28	-	-	PUNCT
alkej-908	173	29	tune	tune	NOUN
alkej-908	173	30	model	model	NOUN
alkej-908	173	31	parameters	parameter	NOUN
alkej-908	173	32	and	and	CCONJ
alkej-908	173	33	assess	assess	VERB
alkej-908	173	34	its	its	PRON
alkej-908	173	35	performance	performance	NOUN
alkej-908	173	36	on	on	ADP
alkej-908	173	37	the	the	DET
alkej-908	173	38	training	training	NOUN
alkej-908	173	39	data	datum	NOUN
alkej-908	173	40	;	;	PUNCT
alkej-908	173	41	and	and	CCONJ
alkej-908	173	42	the	the	DET
alkej-908	173	43	test	test	NOUN
alkej-908	173	44	set	set	NOUN
alkej-908	173	45	,	,	PUNCT
alkej-908	173	46	reserved	reserve	VERB
alkej-908	173	47	for	for	ADP
alkej-908	173	48	evaluating	evaluate	VERB
alkej-908	173	49	the	the	DET
alkej-908	173	50	model	model	NOUN
alkej-908	173	51	.	.	PUNCT
alkej-908	174	1	in	in	ADP
alkej-908	174	2	our	our	PRON
alkej-908	174	3	study	study	NOUN
alkej-908	174	4	,	,	PUNCT
alkej-908	174	5	we	we	PRON
alkej-908	174	6	adopted	adopt	VERB
alkej-908	174	7	a	a	DET
alkej-908	174	8	split	split	ADJ
alkej-908	174	9	ratio	ratio	NOUN
alkej-908	174	10	of	of	ADP
alkej-908	174	11	80	80	NUM
alkej-908	174	12	%	%	NOUN
alkej-908	174	13	of	of	ADP
alkej-908	174	14	each	each	DET
alkej-908	174	15	failure	failure	NOUN
alkej-908	174	16	type	type	NOUN
alkej-908	174	17	count	count	NOUN
alkej-908	174	18	of	of	ADP
alkej-908	174	19	data	datum	NOUN
alkej-908	174	20	mentioned	mention	VERB
alkej-908	174	21	in	in	ADP
alkej-908	174	22	table	table	NOUN
alkej-908	174	23	1	1	NUM
alkej-908	174	24	for	for	ADP
alkej-908	174	25	training	training	NOUN
alkej-908	174	26	,	,	PUNCT
alkej-908	174	27	10	10	NUM
alkej-908	174	28	%	%	NOUN
alkej-908	174	29	for	for	ADP
alkej-908	174	30	noor	noor	PROPN
alkej-908	174	31	a.	a.	PROPN
alkej-908	174	32	mohammed	mohammed	PROPN
alkej-908	174	33	al	al	PROPN
alkej-908	174	34	-	-	PUNCT
alkej-908	174	35	khwarizmi	khwarizmi	PROPN
alkej-908	174	36	engineering	engineering	NOUN
alkej-908	174	37	journal	journal	PROPN
alkej-908	174	38	,	,	PUNCT
alkej-908	174	39	vol	vol	NOUN
alkej-908	174	40	.	.	PROPN
alkej-908	174	41	20	20	NUM
alkej-908	174	42	,	,	PUNCT
alkej-908	174	43	no.2	no.2	PROPN
alkej-908	174	44	,	,	PUNCT
alkej-908	174	45	p.p	p.p	PROPN
alkej-908	174	46	.	.	NOUN
alkej-908	174	47	2638(2024	2638(2024	NUM
alkej-908	174	48	)	)	PUNCT
alkej-908	174	49	33	33	NUM
alkej-908	174	50	validation	validation	NOUN
alkej-908	174	51	,	,	PUNCT
alkej-908	174	52	and	and	CCONJ
alkej-908	174	53	10	10	NUM
alkej-908	174	54	%	%	NOUN
alkej-908	174	55	for	for	ADP
alkej-908	174	56	testing	testing	NOUN
alkej-908	174	57	.	.	PUNCT
alkej-908	175	1	our	our	PRON
alkej-908	175	2	experimentation	experimentation	NOUN
alkej-908	175	3	revealed	reveal	VERB
alkej-908	175	4	that	that	SCONJ
alkej-908	175	5	this	this	DET
alkej-908	175	6	partitioning	partition	VERB
alkej-908	175	7	strategy	strategy	NOUN
alkej-908	175	8	yielded	yield	VERB
alkej-908	175	9	the	the	DET
alkej-908	175	10	optimal	optimal	ADJ
alkej-908	175	11	results	result	NOUN
alkej-908	175	12	among	among	ADP
alkej-908	175	13	the	the	DET
alkej-908	175	14	various	various	ADJ
alkej-908	175	15	strategies	strategy	NOUN
alkej-908	175	16	we	we	PRON
alkej-908	175	17	considered	consider	VERB
alkej-908	175	18	.	.	PUNCT
alkej-908	176	1	all	all	PRON
alkej-908	176	2	of	of	ADP
alkej-908	176	3	the	the	DET
alkej-908	176	4	chosen	choose	VERB
alkej-908	176	5	models	model	NOUN
alkej-908	176	6	achieved	achieve	VERB
alkej-908	176	7	comparable	comparable	ADJ
alkej-908	176	8	results	result	NOUN
alkej-908	176	9	on	on	ADP
alkej-908	176	10	the	the	DET
alkej-908	176	11	validation	validation	NOUN
alkej-908	176	12	set	set	NOUN
alkej-908	176	13	,	,	PUNCT
alkej-908	176	14	as	as	SCONJ
alkej-908	176	15	depicted	depict	VERB
alkej-908	176	16	in	in	ADP
alkej-908	176	17	table	table	NOUN
alkej-908	176	18	3	3	NUM
alkej-908	176	19	.	.	PUNCT
alkej-908	177	1	it	it	PRON
alkej-908	177	2	is	be	AUX
alkej-908	177	3	challenging	challenge	VERB
alkej-908	177	4	to	to	PART
alkej-908	177	5	ascertain	ascertain	VERB
alkej-908	177	6	the	the	DET
alkej-908	177	7	superiority	superiority	NOUN
alkej-908	177	8	of	of	ADP
alkej-908	177	9	one	one	NUM
alkej-908	177	10	model	model	NOUN
alkej-908	177	11	over	over	ADP
alkej-908	177	12	another	another	PRON
alkej-908	177	13	based	base	VERB
alkej-908	177	14	solely	solely	ADV
alkej-908	177	15	on	on	ADP
alkej-908	177	16	these	these	DET
alkej-908	177	17	values	value	NOUN
alkej-908	177	18	.	.	PUNCT
alkej-908	178	1	moreover	moreover	ADV
alkej-908	178	2	,	,	PUNCT
alkej-908	178	3	the	the	DET
alkej-908	178	4	performance	performance	NOUN
alkej-908	178	5	remained	remain	VERB
alkej-908	178	6	consistent	consistent	ADJ
alkej-908	178	7	when	when	SCONJ
alkej-908	178	8	evaluated	evaluate	VERB
alkej-908	178	9	on	on	ADP
alkej-908	178	10	the	the	DET
alkej-908	178	11	test	test	NOUN
alkej-908	178	12	set	set	NOUN
alkej-908	178	13	,	,	PUNCT
alkej-908	178	14	as	as	SCONJ
alkej-908	178	15	demonstrated	demonstrate	VERB
alkej-908	178	16	in	in	ADP
alkej-908	178	17	table	table	NOUN
alkej-908	178	18	4	4	NUM
alkej-908	178	19	,	,	PUNCT
alkej-908	178	20	indicating	indicate	VERB
alkej-908	178	21	that	that	SCONJ
alkej-908	178	22	overfitting	overfitting	NOUN
alkej-908	178	23	was	be	AUX
alkej-908	178	24	successfully	successfully	ADV
alkej-908	178	25	mitigated	mitigate	VERB
alkej-908	178	26	.	.	PUNCT
alkej-908	179	1	in	in	ADP
alkej-908	179	2	order	order	NOUN
alkej-908	179	3	to	to	PART
alkej-908	179	4	fully	fully	ADV
alkej-908	179	5	verify	verify	VERB
alkej-908	179	6	the	the	DET
alkej-908	179	7	robustness	robustness	NOUN
alkej-908	179	8	of	of	ADP
alkej-908	179	9	the	the	DET
alkej-908	179	10	ac	ac	PROPN
alkej-908	179	11	motor	motor	PROPN
alkej-908	179	12	,	,	PUNCT
alkej-908	179	13	the	the	DET
alkej-908	179	14	state	state	NOUN
alkej-908	179	15	of	of	ADP
alkej-908	179	16	the	the	DET
alkej-908	179	17	ac	ac	PROPN
alkej-908	179	18	motor	motor	NOUN
alkej-908	179	19	was	be	AUX
alkej-908	179	20	predicted	predict	VERB
alkej-908	179	21	by	by	ADP
alkej-908	179	22	examining	examine	VERB
alkej-908	179	23	the	the	DET
alkej-908	179	24	confusion	confusion	NOUN
alkej-908	179	25	matrices	matrix	NOUN
alkej-908	179	26	and	and	CCONJ
alkej-908	179	27	the	the	DET
alkej-908	179	28	metrics	metric	NOUN
alkej-908	179	29	showcased	showcase	VERB
alkej-908	179	30	in	in	ADP
alkej-908	179	31	figures	figure	NOUN
alkej-908	179	32	4	4	NUM
alkej-908	179	33	and	and	CCONJ
alkej-908	179	34	5	5	NUM
alkej-908	179	35	.	.	PUNCT
alkej-908	180	1	the	the	DET
alkej-908	180	2	horizontal	horizontal	ADJ
alkej-908	180	3	axis	axis	NOUN
alkej-908	180	4	is	be	AUX
alkej-908	180	5	the	the	DET
alkej-908	180	6	label	label	NOUN
alkej-908	180	7	corresponding	correspond	VERB
alkej-908	180	8	to	to	ADP
alkej-908	180	9	the	the	DET
alkej-908	180	10	predicted	predict	VERB
alkej-908	180	11	state	state	NOUN
alkej-908	180	12	and	and	CCONJ
alkej-908	180	13	the	the	DET
alkej-908	180	14	vertical	vertical	ADJ
alkej-908	180	15	axis	axis	NOUN
alkej-908	180	16	is	be	AUX
alkej-908	180	17	the	the	DET
alkej-908	180	18	label	label	NOUN
alkej-908	180	19	corresponding	correspond	VERB
alkej-908	180	20	to	to	ADP
alkej-908	180	21	the	the	DET
alkej-908	180	22	actual	actual	ADJ
alkej-908	180	23	state	state	NOUN
alkej-908	180	24	.	.	PUNCT
alkej-908	181	1	this	this	DET
alkej-908	181	2	approach	approach	NOUN
alkej-908	181	3	helps	help	VERB
alkej-908	181	4	to	to	PART
alkej-908	181	5	elucidate	elucidate	VERB
alkej-908	181	6	a	a	DET
alkej-908	181	7	hierarchical	hierarchical	ADJ
alkej-908	181	8	ranking	ranking	NOUN
alkej-908	181	9	among	among	ADP
alkej-908	181	10	the	the	DET
alkej-908	181	11	utilized	utilize	VERB
alkej-908	181	12	models	model	NOUN
alkej-908	181	13	,	,	PUNCT
alkej-908	181	14	as	as	ADP
alkej-908	181	15	the	the	DET
alkej-908	181	16	metrics	metric	NOUN
alkej-908	181	17	for	for	ADP
alkej-908	181	18	each	each	DET
alkej-908	181	19	model	model	NOUN
alkej-908	181	20	consistently	consistently	ADV
alkej-908	181	21	either	either	CCONJ
alkej-908	181	22	outperform	outperform	NOUN
alkej-908	181	23	or	or	CCONJ
alkej-908	181	24	underperform	underperform	NOUN
alkej-908	181	25	compared	compare	VERB
alkej-908	181	26	to	to	ADP
alkej-908	181	27	the	the	DET
alkej-908	181	28	others	other	NOUN
alkej-908	181	29	,	,	PUNCT
alkej-908	181	30	while	while	SCONJ
alkej-908	181	31	the	the	DET
alkej-908	181	32	parameter	parameter	NOUN
alkej-908	181	33	search	search	NOUN
alkej-908	181	34	time	time	NOUN
alkej-908	181	35	remains	remain	VERB
alkej-908	181	36	similar	similar	ADJ
alkej-908	181	37	.	.	PUNCT
alkej-908	182	1	all	all	DET
alkej-908	182	2	models	model	NOUN
alkej-908	182	3	(	(	PUNCT
alkej-908	182	4	lr	lr	INTJ
alkej-908	182	5	,	,	PUNCT
alkej-908	182	6	knn	knn	PROPN
alkej-908	182	7	,	,	PUNCT
alkej-908	182	8	xgb	xgb	PROPN
alkej-908	182	9	svc	svc	PROPN
alkej-908	182	10	,	,	PUNCT
alkej-908	182	11	and	and	CCONJ
alkej-908	182	12	rfc	rfc	PROPN
alkej-908	182	13	)	)	PUNCT
alkej-908	182	14	achieved	achieve	VERB
alkej-908	182	15	extremely	extremely	ADV
alkej-908	182	16	similar	similar	ADJ
alkej-908	182	17	results	result	NOUN
alkej-908	182	18	,	,	PUNCT
alkej-908	182	19	but	but	CCONJ
alkej-908	182	20	the	the	DET
alkej-908	182	21	training	training	NOUN
alkej-908	182	22	time	time	NOUN
alkej-908	182	23	is	be	AUX
alkej-908	182	24	varied	varied	ADJ
alkej-908	182	25	as	as	SCONJ
alkej-908	182	26	shown	show	VERB
alkej-908	182	27	in	in	ADP
alkej-908	182	28	table	table	NOUN
alkej-908	182	29	5	5	NUM
alkej-908	182	30	.	.	PUNCT
alkej-908	183	1	in	in	ADP
alkej-908	183	2	particular	particular	ADJ
alkej-908	183	3	rfc	rfc	NOUN
alkej-908	183	4	obtains	obtain	VERB
alkej-908	183	5	the	the	DET
alkej-908	183	6	worst	bad	ADJ
alkej-908	183	7	training	training	NOUN
alkej-908	183	8	times	time	NOUN
alkej-908	183	9	and	and	CCONJ
alkej-908	183	10	knn	knn	VERB
alkej-908	183	11	the	the	DET
alkej-908	183	12	best	good	ADJ
alkej-908	183	13	ones	one	NOUN
alkej-908	183	14	.	.	PUNCT
alkej-908	184	1	table	table	NOUN
alkej-908	184	2	3	3	NUM
alkej-908	184	3	,	,	PUNCT
alkej-908	184	4	validation	validation	NOUN
alkej-908	184	5	scores	score	NOUN
alkej-908	184	6	of	of	ADP
alkej-908	184	7	a	a	DET
alkej-908	184	8	binary	binary	ADJ
alkej-908	184	9	task	task	NOUN
alkej-908	185	1	lr	lr	PROPN
alkej-908	185	2	knn	knn	PROPN
alkej-908	185	3	svc	svc	PROPN
alkej-908	186	1	rfc	rfc	PROPN
alkej-908	186	2	xgb	xgb	PROPN
alkej-908	186	3	acc	acc	PROPN
alkej-908	186	4	0.999	0.999	NUM
alkej-908	186	5	0.999	0.999	NUM
alkej-908	186	6	0.999	0.999	NUM
alkej-908	186	7	1.0	1.0	NUM
alkej-908	186	8	0.999	0.999	NUM
alkej-908	186	9	auc	auc	NOUN
alkej-908	186	10	1.0	1.0	NUM
alkej-908	186	11	1.0	1.0	NUM
alkej-908	186	12	1.0	1.0	NUM
alkej-908	186	13	1.0	1.0	NUM
alkej-908	186	14	1.0	1.0	NUM
alkej-908	186	15	f1	f1	NOUN
alkej-908	186	16	0.998	0.998	NUM
alkej-908	186	17	0.998	0.998	NUM
alkej-908	186	18	0.998	0.998	NUM
alkej-908	186	19	1.0	1.0	NUM
alkej-908	186	20	0.998	0.998	NUM
alkej-908	186	21	f2	f2	PROPN
alkej-908	186	22	0.999	0.999	NUM
alkej-908	186	23	0.999	0.999	NUM
alkej-908	186	24	0.999	0.999	NUM
alkej-908	186	25	1.0	1.0	NUM
alkej-908	186	26	0.997	0.997	NUM
alkej-908	186	27	fig	fig	NOUN
alkej-908	186	28	.	.	PUNCT
alkej-908	187	1	4	4	X
alkej-908	187	2	.	.	X
alkej-908	187	3	validation	validation	NOUN
alkej-908	187	4	set	set	VERB
alkej-908	187	5	confusion	confusion	NOUN
alkej-908	187	6	matrices	matrix	NOUN
alkej-908	187	7	of	of	ADP
alkej-908	187	8	a	a	DET
alkej-908	187	9	binary	binary	ADJ
alkej-908	187	10	task	task	NOUN
alkej-908	187	11	table	table	NOUN
alkej-908	187	12	4	4	NUM
alkej-908	187	13	,	,	PUNCT
alkej-908	187	14	test	test	NOUN
alkej-908	187	15	scores	score	NOUN
alkej-908	187	16	of	of	ADP
alkej-908	187	17	a	a	DET
alkej-908	187	18	binary	binary	ADJ
alkej-908	187	19	task	task	NOUN
alkej-908	188	1	lr	lr	PROPN
alkej-908	188	2	knn	knn	PROPN
alkej-908	188	3	svc	svc	PROPN
alkej-908	189	1	rfc	rfc	PROPN
alkej-908	189	2	xgb	xgb	PROPN
alkej-908	189	3	acc	acc	PROPN
alkej-908	189	4	1.0	1.0	NUM
alkej-908	189	5	1.0	1.0	NUM
alkej-908	189	6	1.0	1.0	NUM
alkej-908	189	7	1.0	1.0	NUM
alkej-908	189	8	1.0	1.0	NUM
alkej-908	189	9	auc	auc	NOUN
alkej-908	189	10	1.0	1.0	NUM
alkej-908	189	11	1.0	1.0	NUM
alkej-908	189	12	1.0	1.0	NUM
alkej-908	189	13	1.0	1.0	NUM
alkej-908	189	14	1.0	1.0	NUM
alkej-908	189	15	f1	f1	NOUN
alkej-908	189	16	1.0	1.0	NUM
alkej-908	189	17	1.0	1.0	NUM
alkej-908	189	18	1.0	1.0	NUM
alkej-908	189	19	1.0	1.0	NUM
alkej-908	189	20	1.0	1.0	NUM
alkej-908	189	21	f2	f2	PROPN
alkej-908	189	22	1.0	1.0	NUM
alkej-908	189	23	1.0	1.0	NUM
alkej-908	189	24	1.0	1.0	NUM
alkej-908	189	25	1.0	1.0	NUM
alkej-908	189	26	1.0	1.0	NUM
alkej-908	189	27	fig	fig	NOUN
alkej-908	189	28	.	.	PUNCT
alkej-908	190	1	5	5	X
alkej-908	190	2	.	.	X
alkej-908	190	3	test	test	NOUN
alkej-908	190	4	set	set	VERB
alkej-908	190	5	confusion	confusion	NOUN
alkej-908	190	6	matrices	matrix	NOUN
alkej-908	190	7	of	of	ADP
alkej-908	190	8	a	a	DET
alkej-908	190	9	binary	binary	ADJ
alkej-908	190	10	task	task	NOUN
alkej-908	190	11	.	.	PUNCT
alkej-908	191	1	noor	noor	PROPN
alkej-908	191	2	a.	a.	PROPN
alkej-908	191	3	mohammed	mohammed	PROPN
alkej-908	191	4	al	al	PROPN
alkej-908	191	5	-	-	PUNCT
alkej-908	191	6	khwarizmi	khwarizmi	PROPN
alkej-908	191	7	engineering	engineering	NOUN
alkej-908	191	8	journal	journal	PROPN
alkej-908	191	9	,	,	PUNCT
alkej-908	191	10	vol	vol	NOUN
alkej-908	191	11	.	.	PROPN
alkej-908	191	12	20	20	NUM
alkej-908	191	13	,	,	PUNCT
alkej-908	191	14	no.2	no.2	PROPN
alkej-908	191	15	,	,	PUNCT
alkej-908	191	16	p.p	p.p	PROPN
alkej-908	191	17	.	.	NOUN
alkej-908	191	18	2638(2024	2638(2024	NUM
alkej-908	191	19	)	)	PUNCT
alkej-908	191	20	34	34	NUM
alkej-908	191	21	table	table	NOUN
alkej-908	191	22	5	5	NUM
alkej-908	191	23	,	,	PUNCT
alkej-908	191	24	training	training	NOUN
alkej-908	191	25	time	time	NOUN
alkej-908	191	26	for	for	ADP
alkej-908	191	27	each	each	DET
alkej-908	191	28	algorithm	algorithm	NOUN
alkej-908	191	29	of	of	ADP
alkej-908	191	30	a	a	DET
alkej-908	191	31	binary	binary	ADJ
alkej-908	191	32	task	task	NOUN
alkej-908	191	33	machine	machine	NOUN
alkej-908	191	34	learning	learn	VERB
alkej-908	191	35	algorithms	algorithm	NOUN
alkej-908	191	36	training	training	NOUN
alkej-908	191	37	time	time	NOUN
alkej-908	191	38	(	(	PUNCT
alkej-908	191	39	sec	sec	PROPN
alkej-908	191	40	)	)	PUNCT
alkej-908	191	41	lr	lr	PROPN
alkej-908	191	42	8	8	NUM
alkej-908	191	43	knn	knn	NOUN
alkej-908	191	44	4	4	NUM
alkej-908	191	45	svc	svc	NOUN
alkej-908	191	46	34	34	NUM
alkej-908	191	47	rfc	rfc	NOUN
alkej-908	191	48	151	151	NUM
alkej-908	191	49	xgb	xgb	NOUN
alkej-908	191	50	83	83	NUM
alkej-908	191	51	3.2	3.2	NUM
alkej-908	191	52	multi	multi	ADJ
alkej-908	191	53	-	-	ADJ
alkej-908	191	54	class	class	ADJ
alkej-908	191	55	task	task	NOUN
alkej-908	191	56	the	the	DET
alkej-908	191	57	second	second	ADJ
alkej-908	191	58	task	task	NOUN
alkej-908	191	59	of	of	ADP
alkej-908	191	60	this	this	DET
alkej-908	191	61	work	work	NOUN
alkej-908	191	62	was	be	AUX
alkej-908	191	63	to	to	PART
alkej-908	191	64	predict	predict	VERB
alkej-908	191	65	not	not	PART
alkej-908	191	66	only	only	ADV
alkej-908	191	67	if	if	SCONJ
alkej-908	191	68	there	there	PRON
alkej-908	191	69	would	would	AUX
alkej-908	191	70	be	be	AUX
alkej-908	191	71	a	a	DET
alkej-908	191	72	failure	failure	NOUN
alkej-908	191	73	but	but	CCONJ
alkej-908	191	74	also	also	ADV
alkej-908	191	75	the	the	DET
alkej-908	191	76	type	type	NOUN
alkej-908	191	77	of	of	ADP
alkej-908	191	78	failure	failure	NOUN
alkej-908	191	79	that	that	PRON
alkej-908	191	80	occurred	occur	VERB
alkej-908	191	81	.	.	PUNCT
alkej-908	192	1	so	so	ADV
alkej-908	192	2	,	,	PUNCT
alkej-908	192	3	we	we	PRON
alkej-908	192	4	were	be	AUX
alkej-908	192	5	dealing	deal	VERB
alkej-908	192	6	with	with	ADP
alkej-908	192	7	multiclass	multiclass	ADJ
alkej-908	192	8	classification	classification	NOUN
alkej-908	192	9	problems	problem	NOUN
alkej-908	192	10	,	,	PUNCT
alkej-908	192	11	assuming	assume	VERB
alkej-908	192	12	that	that	SCONJ
alkej-908	192	13	each	each	DET
alkej-908	192	14	sample	sample	NOUN
alkej-908	192	15	was	be	AUX
alkej-908	192	16	assigned	assign	VERB
alkej-908	192	17	to	to	ADP
alkej-908	192	18	one	one	NUM
alkej-908	192	19	and	and	CCONJ
alkej-908	192	20	only	only	ADV
alkej-908	192	21	one	one	NUM
alkej-908	192	22	label	label	NOUN
alkej-908	192	23	.	.	PUNCT
alkej-908	193	1	this	this	DET
alkej-908	193	2	hypothesis	hypothesis	NOUN
alkej-908	193	3	was	be	AUX
alkej-908	193	4	verified	verify	VERB
alkej-908	193	5	because	because	SCONJ
alkej-908	193	6	,	,	PUNCT
alkej-908	193	7	in	in	ADP
alkej-908	193	8	data	datum	NOUN
alkej-908	193	9	preprocessing	preprocessing	NOUN
alkej-908	193	10	,	,	PUNCT
alkej-908	193	11	we	we	PRON
alkej-908	193	12	removed	remove	VERB
alkej-908	193	13	all	all	DET
alkej-908	193	14	the	the	DET
alkej-908	193	15	ambiguous	ambiguous	ADJ
alkej-908	193	16	observations	observation	NOUN
alkej-908	193	17	that	that	PRON
alkej-908	193	18	belonged	belong	VERB
alkej-908	193	19	to	to	ADP
alkej-908	193	20	more	more	ADJ
alkej-908	193	21	than	than	ADP
alkej-908	193	22	one	one	NUM
alkej-908	193	23	class	class	NOUN
alkej-908	193	24	.	.	PUNCT
alkej-908	194	1	for	for	ADP
alkej-908	194	2	multiclass	multiclass	ADJ
alkej-908	194	3	targets	target	NOUN
alkej-908	194	4	,	,	PUNCT
alkej-908	194	5	when	when	SCONJ
alkej-908	194	6	we	we	PRON
alkej-908	194	7	calculated	calculate	VERB
alkej-908	194	8	the	the	DET
alkej-908	194	9	values	value	NOUN
alkej-908	194	10	of	of	ADP
alkej-908	194	11	auc	auc	NOUN
alkej-908	194	12	,	,	PUNCT
alkej-908	194	13	f1	f1	NOUN
alkej-908	194	14	,	,	PUNCT
alkej-908	194	15	and	and	CCONJ
alkej-908	194	16	f2	f2	PROPN
alkej-908	194	17	scores	score	NOUN
alkej-908	194	18	in	in	ADP
alkej-908	194	19	tables	table	NOUN
alkej-908	194	20	6	6	NUM
alkej-908	194	21	and	and	CCONJ
alkej-908	194	22	7	7	NUM
alkej-908	194	23	,	,	PUNCT
alkej-908	194	24	we	we	PRON
alkej-908	194	25	needed	need	VERB
alkej-908	194	26	to	to	PART
alkej-908	194	27	set	set	VERB
alkej-908	194	28	the	the	DET
alkej-908	194	29	parameter	parameter	NOUN
alkej-908	194	30	'	'	PUNCT
alkej-908	194	31	average	average	ADJ
alkej-908	194	32	.	.	PUNCT
alkej-908	194	33	'	'	PUNCT
alkej-908	195	1	we	we	PRON
alkej-908	195	2	chose	choose	VERB
alkej-908	195	3	'	'	PUNCT
alkej-908	195	4	average	average	ADJ
alkej-908	195	5	=	=	NOUN
alkej-908	195	6	weighted	weighted	NOUN
alkej-908	195	7	'	'	PUNCT
alkej-908	195	8	to	to	PART
alkej-908	195	9	account	account	VERB
alkej-908	195	10	for	for	ADP
alkej-908	195	11	class	class	NOUN
alkej-908	195	12	imbalance	imbalance	NOUN
alkej-908	195	13	.	.	PUNCT
alkej-908	196	1	in	in	ADP
alkej-908	196	2	fact	fact	NOUN
alkej-908	196	3	,	,	PUNCT
alkej-908	196	4	at	at	ADP
alkej-908	196	5	the	the	DET
alkej-908	196	6	end	end	NOUN
alkej-908	196	7	of	of	ADP
alkej-908	196	8	data	datum	NOUN
alkej-908	196	9	preprocessing	preprocessing	NOUN
alkej-908	196	10	,	,	PUNCT
alkej-908	196	11	we	we	PRON
alkej-908	196	12	had	have	VERB
alkej-908	196	13	80	80	NUM
alkej-908	196	14	%	%	NOUN
alkej-908	196	15	working	working	NOUN
alkej-908	196	16	machines	machine	NOUN
alkej-908	196	17	and	and	CCONJ
alkej-908	196	18	20	20	NUM
alkej-908	196	19	%	%	NOUN
alkej-908	196	20	that	that	PRON
alkej-908	196	21	failed	fail	VERB
alkej-908	196	22	.	.	PUNCT
alkej-908	197	1	as	as	ADP
alkej-908	197	2	for	for	ADP
alkej-908	197	3	the	the	DET
alkej-908	197	4	binary	binary	PROPN
alkej-908	197	5	classification	classification	NOUN
alkej-908	197	6	task	task	NOUN
alkej-908	197	7	,	,	PUNCT
alkej-908	197	8	we	we	PRON
alkej-908	197	9	adapted	adapt	VERB
alkej-908	197	10	the	the	DET
alkej-908	197	11	models	model	NOUN
alkej-908	197	12	developed	develop	VERB
alkej-908	197	13	in	in	ADP
alkej-908	197	14	the	the	DET
alkej-908	197	15	previous	previous	ADJ
alkej-908	197	16	section	section	NOUN
alkej-908	197	17	.	.	PUNCT
alkej-908	198	1	while	while	SCONJ
alkej-908	198	2	many	many	ADJ
alkej-908	198	3	classification	classification	NOUN
alkej-908	198	4	algorithms	algorithm	NOUN
alkej-908	198	5	(	(	PUNCT
alkej-908	198	6	such	such	ADJ
alkej-908	198	7	as	as	ADP
alkej-908	198	8	'	'	PUNCT
alkej-908	198	9	random	random	ADJ
alkej-908	198	10	k	k	NOUN
alkej-908	198	11	-	-	PUNCT
alkej-908	198	12	nearest	near	ADJ
alkej-908	198	13	neighbor	neighbor	NOUN
alkej-908	198	14	,	,	PUNCT
alkej-908	198	15	'	'	PUNCT
alkej-908	198	16	'	'	PUNCT
alkej-908	198	17	random	random	ADJ
alkej-908	198	18	forest	forest	NOUN
alkej-908	198	19	,	,	PUNCT
alkej-908	198	20	'	'	PUNCT
alkej-908	198	21	and	and	CCONJ
alkej-908	198	22	'	'	PUNCT
alkej-908	198	23	xgboost	xgboost	NOUN
alkej-908	198	24	'	'	PUNCT
alkej-908	198	25	)	)	PUNCT
alkej-908	198	26	naturally	naturally	ADV
alkej-908	198	27	permitted	permit	VERB
alkej-908	198	28	the	the	DET
alkej-908	198	29	use	use	NOUN
alkej-908	198	30	of	of	ADP
alkej-908	198	31	more	more	ADJ
alkej-908	198	32	than	than	ADP
alkej-908	198	33	two	two	NUM
alkej-908	198	34	classes	class	NOUN
alkej-908	198	35	,	,	PUNCT
alkej-908	198	36	some	some	PRON
alkej-908	198	37	(	(	PUNCT
alkej-908	198	38	like	like	ADP
alkej-908	198	39	logistic	logistic	ADJ
alkej-908	198	40	regression	regression	NOUN
alkej-908	198	41	and	and	CCONJ
alkej-908	198	42	support	support	VERB
alkej-908	198	43	vector	vector	NOUN
alkej-908	198	44	classifier	classifier	NOUN
alkej-908	198	45	)	)	PUNCT
alkej-908	198	46	were	be	AUX
alkej-908	198	47	by	by	ADP
alkej-908	198	48	nature	nature	NOUN
alkej-908	198	49	binary	binary	ADJ
alkej-908	198	50	algorithms	algorithm	NOUN
alkej-908	198	51	.	.	PUNCT
alkej-908	199	1	however	however	ADV
alkej-908	199	2	,	,	PUNCT
alkej-908	199	3	these	these	PRON
alkej-908	199	4	could	could	AUX
alkej-908	199	5	be	be	AUX
alkej-908	199	6	turned	turn	VERB
alkej-908	199	7	into	into	ADP
alkej-908	199	8	multiclass	multiclass	ADJ
alkej-908	199	9	classifiers	classifier	NOUN
alkej-908	199	10	using	use	VERB
alkej-908	199	11	a	a	DET
alkej-908	199	12	variety	variety	NOUN
alkej-908	199	13	of	of	ADP
alkej-908	199	14	strategies	strategy	NOUN
alkej-908	199	15	.	.	PUNCT
alkej-908	200	1	for	for	ADP
alkej-908	200	2	our	our	PRON
alkej-908	200	3	work	work	NOUN
alkej-908	200	4	,	,	PUNCT
alkej-908	200	5	we	we	PRON
alkej-908	200	6	decided	decide	VERB
alkej-908	200	7	to	to	PART
alkej-908	200	8	train	train	VERB
alkej-908	200	9	a	a	DET
alkej-908	200	10	single	single	ADJ
alkej-908	200	11	classifier	classifier	NOUN
alkej-908	200	12	per	per	ADP
alkej-908	200	13	class	class	NOUN
alkej-908	200	14	,	,	PUNCT
alkej-908	200	15	with	with	ADP
alkej-908	200	16	the	the	DET
alkej-908	200	17	samples	sample	NOUN
alkej-908	200	18	of	of	ADP
alkej-908	200	19	that	that	DET
alkej-908	200	20	class	class	NOUN
alkej-908	200	21	as	as	ADP
alkej-908	200	22	positive	positive	ADJ
alkej-908	200	23	samples	sample	NOUN
alkej-908	200	24	and	and	CCONJ
alkej-908	200	25	all	all	DET
alkej-908	200	26	other	other	ADJ
alkej-908	200	27	samples	sample	NOUN
alkej-908	200	28	as	as	ADP
alkej-908	200	29	negatives	negative	NOUN
alkej-908	200	30	.	.	PUNCT
alkej-908	201	1	we	we	PRON
alkej-908	201	2	chose	choose	VERB
alkej-908	201	3	this	this	PRON
alkej-908	201	4	because	because	SCONJ
alkej-908	201	5	it	it	PRON
alkej-908	201	6	was	be	AUX
alkej-908	201	7	computationally	computationally	ADV
alkej-908	201	8	more	more	ADV
alkej-908	201	9	efficient	efficient	ADJ
alkej-908	201	10	than	than	ADP
alkej-908	201	11	other	other	ADJ
alkej-908	201	12	types	type	NOUN
alkej-908	201	13	of	of	ADP
alkej-908	201	14	approaches	approach	NOUN
alkej-908	201	15	.	.	PUNCT
alkej-908	202	1	for	for	ADP
alkej-908	202	2	each	each	DET
alkej-908	202	3	model	model	NOUN
alkej-908	202	4	,	,	PUNCT
alkej-908	202	5	we	we	PRON
alkej-908	202	6	launched	launch	VERB
alkej-908	202	7	the	the	DET
alkej-908	202	8	grid	grid	NOUN
alkej-908	202	9	search	search	NOUN
alkej-908	202	10	for	for	ADP
alkej-908	202	11	hyperparameter	hyperparameter	NOUN
alkej-908	202	12	optimization	optimization	NOUN
alkej-908	202	13	,	,	PUNCT
alkej-908	202	14	using	use	VERB
alkej-908	202	15	the	the	DET
alkej-908	202	16	weighted	weight	VERB
alkej-908	202	17	average	average	ADJ
alkej-908	202	18	f2	f2	PROPN
alkej-908	202	19	score	score	NOUN
alkej-908	202	20	as	as	ADP
alkej-908	202	21	the	the	DET
alkej-908	202	22	metric	metric	NOUN
alkej-908	202	23	to	to	PART
alkej-908	202	24	evaluate	evaluate	VERB
alkej-908	202	25	the	the	DET
alkej-908	202	26	model	model	NOUN
alkej-908	202	27	.	.	PUNCT
alkej-908	203	1	by	by	ADP
alkej-908	203	2	comparing	compare	VERB
alkej-908	203	3	the	the	DET
alkej-908	203	4	results	result	NOUN
alkej-908	203	5	obtained	obtain	VERB
alkej-908	203	6	,	,	PUNCT
alkej-908	203	7	we	we	PRON
alkej-908	203	8	saw	see	VERB
alkej-908	203	9	that	that	SCONJ
alkej-908	203	10	all	all	DET
alkej-908	203	11	models	model	NOUN
alkej-908	203	12	obtained	obtain	VERB
alkej-908	203	13	high	high	ADJ
alkej-908	203	14	values	value	NOUN
alkej-908	203	15	for	for	ADP
alkej-908	203	16	the	the	DET
alkej-908	203	17	chosen	choose	VERB
alkej-908	203	18	metrics	metric	NOUN
alkej-908	203	19	both	both	PRON
alkej-908	203	20	for	for	ADP
alkej-908	203	21	the	the	DET
alkej-908	203	22	validation	validation	NOUN
alkej-908	203	23	and	and	CCONJ
alkej-908	203	24	test	test	NOUN
alkej-908	203	25	sets	set	NOUN
alkej-908	203	26	,	,	PUNCT
alkej-908	203	27	as	as	SCONJ
alkej-908	203	28	shown	show	VERB
alkej-908	203	29	in	in	ADP
alkej-908	203	30	figures	figure	NOUN
alkej-908	203	31	6	6	NUM
alkej-908	203	32	and	and	CCONJ
alkej-908	203	33	7	7	NUM
alkej-908	203	34	.	.	PUNCT
alkej-908	204	1	if	if	SCONJ
alkej-908	204	2	we	we	PRON
alkej-908	204	3	look	look	VERB
alkej-908	204	4	at	at	ADP
alkej-908	204	5	the	the	DET
alkej-908	204	6	training	training	NOUN
alkej-908	204	7	time	time	NOUN
alkej-908	204	8	,	,	PUNCT
alkej-908	204	9	knn	knn	PROPN
alkej-908	204	10	took	take	VERB
alkej-908	204	11	the	the	DET
alkej-908	204	12	shortest	short	ADJ
alkej-908	204	13	time	time	NOUN
alkej-908	204	14	,	,	PUNCT
alkej-908	204	15	while	while	SCONJ
alkej-908	204	16	xgb	xgb	PROPN
alkej-908	204	17	took	take	VERB
alkej-908	204	18	a	a	DET
alkej-908	204	19	very	very	ADV
alkej-908	204	20	long	long	ADJ
alkej-908	204	21	time	time	NOUN
alkej-908	204	22	,	,	PUNCT
alkej-908	204	23	as	as	SCONJ
alkej-908	204	24	shown	show	VERB
alkej-908	204	25	in	in	ADP
alkej-908	204	26	table	table	NOUN
alkej-908	204	27	8	8	NUM
alkej-908	204	28	.	.	PUNCT
alkej-908	205	1	so	so	ADV
alkej-908	205	2	,	,	PUNCT
alkej-908	205	3	one	one	PRON
alkej-908	205	4	could	could	AUX
alkej-908	205	5	choose	choose	VERB
alkej-908	205	6	the	the	DET
alkej-908	205	7	knn	knn	PROPN
alkej-908	205	8	model	model	NOUN
alkej-908	205	9	according	accord	VERB
alkej-908	205	10	to	to	ADP
alkej-908	205	11	their	their	PRON
alkej-908	205	12	needs	need	NOUN
alkej-908	205	13	.	.	PUNCT
alkej-908	206	1	table	table	NOUN
alkej-908	206	2	6	6	NUM
alkej-908	206	3	,	,	PUNCT
alkej-908	206	4	validation	validation	NOUN
alkej-908	206	5	scores	score	NOUN
alkej-908	206	6	of	of	ADP
alkej-908	206	7	a	a	DET
alkej-908	206	8	multi	multi	ADJ
alkej-908	206	9	-	-	ADJ
alkej-908	206	10	class	class	ADJ
alkej-908	206	11	task	task	NOUN
alkej-908	207	1	lr	lr	PROPN
alkej-908	207	2	knn	knn	PROPN
alkej-908	207	3	svc	svc	PROPN
alkej-908	208	1	rfc	rfc	PROPN
alkej-908	208	2	xgb	xgb	PROPN
alkej-908	208	3	acc	acc	PROPN
alkej-908	208	4	0.999	0.999	NUM
alkej-908	208	5	0.999	0.999	NUM
alkej-908	208	6	0.999	0.999	NUM
alkej-908	208	7	1.0	1.0	NUM
alkej-908	208	8	0.999	0.999	NUM
alkej-908	208	9	auc	auc	NOUN
alkej-908	208	10	1.0	1.0	NUM
alkej-908	208	11	1.0	1.0	NUM
alkej-908	208	12	1.0	1.0	NUM
alkej-908	208	13	1.0	1.0	NUM
alkej-908	208	14	1.0	1.0	NUM
alkej-908	208	15	f1	f1	NOUN
alkej-908	208	16	0.999	0.999	NUM
alkej-908	208	17	0.999	0.999	NUM
alkej-908	208	18	0.999	0.999	NUM
alkej-908	208	19	1.0	1.0	NUM
alkej-908	208	20	1.0	1.0	NUM
alkej-908	208	21	f2	f2	PROPN
alkej-908	208	22	0.999	0.999	NUM
alkej-908	208	23	0.999	0.999	NUM
alkej-908	208	24	0.999	0.999	NUM
alkej-908	208	25	1.0	1.0	NUM
alkej-908	208	26	1.0	1.0	NUM
alkej-908	208	27	fig	fig	NOUN
alkej-908	208	28	.	.	PUNCT
alkej-908	209	1	6	6	NUM
alkej-908	209	2	.	.	X
alkej-908	209	3	validation	validation	NOUN
alkej-908	209	4	set	set	VERB
alkej-908	209	5	confusion	confusion	NOUN
alkej-908	209	6	matrices	matrix	NOUN
alkej-908	209	7	of	of	ADP
alkej-908	209	8	a	a	DET
alkej-908	209	9	multi	multi	ADJ
alkej-908	209	10	-	-	ADJ
alkej-908	209	11	class	class	ADJ
alkej-908	209	12	task	task	NOUN
alkej-908	209	13	.	.	PUNCT
alkej-908	210	1	noor	noor	PROPN
alkej-908	210	2	a.	a.	PROPN
alkej-908	210	3	mohammed	mohammed	PROPN
alkej-908	210	4	al	al	PROPN
alkej-908	210	5	-	-	PUNCT
alkej-908	210	6	khwarizmi	khwarizmi	PROPN
alkej-908	210	7	engineering	engineering	NOUN
alkej-908	210	8	journal	journal	PROPN
alkej-908	210	9	,	,	PUNCT
alkej-908	210	10	vol	vol	NOUN
alkej-908	210	11	.	.	PROPN
alkej-908	210	12	20	20	NUM
alkej-908	210	13	,	,	PUNCT
alkej-908	210	14	no.2	no.2	PROPN
alkej-908	210	15	,	,	PUNCT
alkej-908	210	16	p.p	p.p	PROPN
alkej-908	210	17	.	.	NOUN
alkej-908	210	18	2638(2024	2638(2024	NUM
alkej-908	210	19	)	)	PUNCT
alkej-908	210	20	35	35	NUM
alkej-908	210	21	table	table	NOUN
alkej-908	210	22	7	7	NUM
alkej-908	210	23	,	,	PUNCT
alkej-908	210	24	test	test	NOUN
alkej-908	210	25	scores	score	NOUN
alkej-908	210	26	of	of	ADP
alkej-908	210	27	a	a	DET
alkej-908	210	28	multi	multi	ADJ
alkej-908	210	29	-	-	ADJ
alkej-908	210	30	class	class	ADJ
alkej-908	210	31	task	task	NOUN
alkej-908	210	32	lr	lr	PROPN
alkej-908	210	33	knn	knn	PROPN
alkej-908	210	34	svc	svc	PROPN
alkej-908	211	1	rfc	rfc	PROPN
alkej-908	211	2	xgb	xgb	PROPN
alkej-908	211	3	acc	acc	PROPN
alkej-908	211	4	1.0	1.0	NUM
alkej-908	211	5	1.0	1.0	NUM
alkej-908	211	6	1.0	1.0	NUM
alkej-908	211	7	1.0	1.0	NUM
alkej-908	211	8	1.0	1.0	NUM
alkej-908	211	9	auc	auc	NOUN
alkej-908	211	10	1.0	1.0	NUM
alkej-908	211	11	1.0	1.0	NUM
alkej-908	211	12	1.0	1.0	NUM
alkej-908	211	13	1.0	1.0	NUM
alkej-908	211	14	1.0	1.0	NUM
alkej-908	211	15	f1	f1	NOUN
alkej-908	211	16	1.0	1.0	NUM
alkej-908	211	17	1.0	1.0	NUM
alkej-908	211	18	1.0	1.0	NUM
alkej-908	211	19	1.0	1.0	NUM
alkej-908	211	20	1.0	1.0	NUM
alkej-908	211	21	f2	f2	PROPN
alkej-908	211	22	1.0	1.0	NUM
alkej-908	211	23	1.0	1.0	NUM
alkej-908	211	24	1.0	1.0	NUM
alkej-908	211	25	1.0	1.0	NUM
alkej-908	211	26	1.0	1.0	NUM
alkej-908	211	27	fig	fig	NOUN
alkej-908	211	28	.	.	PUNCT
alkej-908	212	1	7	7	X
alkej-908	212	2	.	.	X
alkej-908	212	3	test	test	NOUN
alkej-908	212	4	set	set	VERB
alkej-908	212	5	confusion	confusion	NOUN
alkej-908	212	6	matrices	matrix	NOUN
alkej-908	212	7	of	of	ADP
alkej-908	212	8	a	a	DET
alkej-908	212	9	multi	multi	ADJ
alkej-908	212	10	-	-	ADJ
alkej-908	212	11	class	class	ADJ
alkej-908	212	12	task	task	NOUN
alkej-908	212	13	.	.	PUNCT
alkej-908	212	14	table	table	NOUN
alkej-908	212	15	8	8	NUM
alkej-908	212	16	,	,	PUNCT
alkej-908	212	17	training	training	NOUN
alkej-908	212	18	time	time	NOUN
alkej-908	212	19	for	for	ADP
alkej-908	212	20	each	each	DET
alkej-908	212	21	algorithm	algorithm	NOUN
alkej-908	212	22	of	of	ADP
alkej-908	212	23	a	a	DET
alkej-908	212	24	multi	multi	ADJ
alkej-908	212	25	-	-	ADJ
alkej-908	212	26	class	class	ADJ
alkej-908	212	27	task	task	NOUN
alkej-908	212	28	machine	machine	NOUN
alkej-908	212	29	learning	learn	VERB
alkej-908	212	30	algorithms	algorithm	NOUN
alkej-908	212	31	training	training	NOUN
alkej-908	212	32	time	time	NOUN
alkej-908	212	33	(	(	PUNCT
alkej-908	212	34	sec	sec	PROPN
alkej-908	212	35	)	)	PUNCT
alkej-908	212	36	lr	lr	PROPN
alkej-908	212	37	10	10	NUM
alkej-908	212	38	knn	knn	NOUN
alkej-908	212	39	3	3	NUM
alkej-908	212	40	svc	svc	NOUN
alkej-908	212	41	53	53	NUM
alkej-908	212	42	rfc	rfc	NOUN
alkej-908	212	43	139	139	NUM
alkej-908	212	44	xgb	xgb	PROPN
alkej-908	212	45	276	276	NUM
alkej-908	212	46	3	3	NUM
alkej-908	212	47	.	.	PUNCT
alkej-908	213	1	conclusions	conclusion	NOUN
alkej-908	213	2	in	in	ADP
alkej-908	213	3	this	this	DET
alkej-908	213	4	research	research	NOUN
alkej-908	213	5	work	work	NOUN
alkej-908	213	6	,	,	PUNCT
alkej-908	213	7	datasets	dataset	NOUN
alkej-908	213	8	pertaining	pertain	VERB
alkej-908	213	9	to	to	ADP
alkej-908	213	10	the	the	DET
alkej-908	213	11	condition	condition	NOUN
alkej-908	213	12	monitoring	monitoring	NOUN
alkej-908	213	13	of	of	ADP
alkej-908	213	14	ac	ac	PROPN
alkej-908	213	15	motors	motor	NOUN
alkej-908	213	16	was	be	AUX
alkej-908	213	17	utilized	utilize	VERB
alkej-908	213	18	to	to	PART
alkej-908	213	19	assess	assess	VERB
alkej-908	213	20	the	the	DET
alkej-908	213	21	effectiveness	effectiveness	NOUN
alkej-908	213	22	of	of	ADP
alkej-908	213	23	various	various	ADJ
alkej-908	213	24	machine	machine	NOUN
alkej-908	213	25	learning	learn	VERB
alkej-908	213	26	techniques	technique	NOUN
alkej-908	213	27	within	within	ADP
alkej-908	213	28	a	a	DET
alkej-908	213	29	practical	practical	ADJ
alkej-908	213	30	predictive	predictive	ADJ
alkej-908	213	31	maintenance	maintenance	NOUN
alkej-908	213	32	(	(	PUNCT
alkej-908	213	33	pdm	pdm	NOUN
alkej-908	213	34	)	)	PUNCT
alkej-908	213	35	context	context	NOUN
alkej-908	213	36	.	.	PUNCT
alkej-908	214	1	we	we	PRON
alkej-908	214	2	employed	employ	VERB
alkej-908	214	3	five	five	NUM
alkej-908	214	4	different	different	ADJ
alkej-908	214	5	machine	machine	NOUN
alkej-908	214	6	learning	learn	VERB
alkej-908	214	7	algorithms	algorithm	NOUN
alkej-908	214	8	,	,	PUNCT
alkej-908	214	9	namely	namely	ADV
alkej-908	214	10	“	"	PUNCT
alkej-908	214	11	random	random	ADJ
alkej-908	214	12	forest	forest	NOUN
alkej-908	214	13	(	(	PUNCT
alkej-908	214	14	rfc	rfc	NOUN
alkej-908	214	15	)	)	PUNCT
alkej-908	214	16	”	"	PUNCT
alkej-908	214	17	,	,	PUNCT
alkej-908	214	18	“	"	PUNCT
alkej-908	214	19	support	support	NOUN
alkej-908	214	20	vector	vector	NOUN
alkej-908	214	21	classifier	classifier	NOUN
alkej-908	214	22	(	(	PUNCT
alkej-908	214	23	svc	svc	PROPN
alkej-908	214	24	)	)	PUNCT
alkej-908	214	25	”	"	PUNCT
alkej-908	214	26	,	,	PUNCT
alkej-908	214	27	“	"	PUNCT
alkej-908	214	28	k	k	X
alkej-908	214	29	-	-	PUNCT
alkej-908	214	30	nearest	near	ADJ
alkej-908	214	31	neighbors	neighbor	NOUN
alkej-908	214	32	(	(	PUNCT
alkej-908	214	33	knn	knn	PROPN
alkej-908	214	34	)	)	PUNCT
alkej-908	214	35	”	"	PUNCT
alkej-908	214	36	,	,	PUNCT
alkej-908	214	37	“	"	PUNCT
alkej-908	214	38	logistic	logistic	ADJ
alkej-908	214	39	regression	regression	NOUN
alkej-908	214	40	(	(	PUNCT
alkej-908	214	41	lr	lr	NOUN
alkej-908	214	42	)	)	PUNCT
alkej-908	214	43	”	"	PUNCT
alkej-908	214	44	,	,	PUNCT
alkej-908	214	45	and	and	CCONJ
alkej-908	214	46	“	"	PUNCT
alkej-908	214	47	xgboost	xgboost	X
alkej-908	214	48	(	(	PUNCT
alkej-908	214	49	xgb	xgb	PROPN
alkej-908	214	50	)	)	PUNCT
alkej-908	214	51	”	"	PUNCT
alkej-908	214	52	,	,	PUNCT
alkej-908	214	53	to	to	PART
alkej-908	214	54	predict	predict	VERB
alkej-908	214	55	potential	potential	ADJ
alkej-908	214	56	machine	machine	NOUN
alkej-908	214	57	failures	failure	NOUN
alkej-908	214	58	.	.	PUNCT
alkej-908	215	1	additionally	additionally	ADV
alkej-908	215	2	,	,	PUNCT
alkej-908	215	3	we	we	PRON
alkej-908	215	4	conducted	conduct	VERB
alkej-908	215	5	a	a	DET
alkej-908	215	6	comparative	comparative	ADJ
alkej-908	215	7	analysis	analysis	NOUN
alkej-908	215	8	of	of	ADP
alkej-908	215	9	these	these	DET
alkej-908	215	10	algorithms	algorithm	NOUN
alkej-908	215	11	.	.	PUNCT
alkej-908	216	1	our	our	PRON
alkej-908	216	2	approach	approach	NOUN
alkej-908	216	3	involves	involve	VERB
alkej-908	216	4	training	train	VERB
alkej-908	216	5	these	these	DET
alkej-908	216	6	algorithms	algorithm	NOUN
alkej-908	216	7	using	use	VERB
alkej-908	216	8	datasets	dataset	NOUN
alkej-908	216	9	of	of	ADP
alkej-908	216	10	varying	vary	VERB
alkej-908	216	11	sizes	size	NOUN
alkej-908	216	12	and	and	CCONJ
alkej-908	216	13	subsequently	subsequently	ADV
alkej-908	216	14	evaluating	evaluate	VERB
alkej-908	216	15	their	their	PRON
alkej-908	216	16	accuracy	accuracy	NOUN
alkej-908	216	17	on	on	ADP
alkej-908	216	18	test	test	NOUN
alkej-908	216	19	data	datum	NOUN
alkej-908	216	20	.	.	PUNCT
alkej-908	217	1	this	this	DET
alkej-908	217	2	evaluation	evaluation	NOUN
alkej-908	217	3	was	be	AUX
alkej-908	217	4	conducted	conduct	VERB
alkej-908	217	5	in	in	ADP
alkej-908	217	6	relation	relation	NOUN
alkej-908	217	7	to	to	ADP
alkej-908	217	8	the	the	DET
alkej-908	217	9	size	size	NOUN
alkej-908	217	10	of	of	ADP
alkej-908	217	11	the	the	DET
alkej-908	217	12	training	training	NOUN
alkej-908	217	13	data	datum	NOUN
alkej-908	217	14	,	,	PUNCT
alkej-908	217	15	allowing	allow	VERB
alkej-908	217	16	us	we	PRON
alkej-908	217	17	to	to	PART
alkej-908	217	18	investigate	investigate	VERB
alkej-908	217	19	how	how	SCONJ
alkej-908	217	20	the	the	DET
alkej-908	217	21	training	training	NOUN
alkej-908	217	22	set	set	NOUN
alkej-908	217	23	size	size	NOUN
alkej-908	217	24	impacts	impact	VERB
alkej-908	217	25	algorithm	algorithm	NOUN
alkej-908	217	26	performance	performance	NOUN
alkej-908	217	27	.	.	PUNCT
alkej-908	218	1	the	the	DET
alkej-908	218	2	main	main	ADJ
alkej-908	218	3	contribution	contribution	NOUN
alkej-908	218	4	of	of	ADP
alkej-908	218	5	this	this	DET
alkej-908	218	6	paper	paper	NOUN
alkej-908	218	7	compared	compare	VERB
alkej-908	218	8	to	to	ADP
alkej-908	218	9	other	other	ADJ
alkej-908	218	10	related	related	ADJ
alkej-908	218	11	works	work	NOUN
alkej-908	218	12	is	be	AUX
alkej-908	218	13	developing	develop	VERB
alkej-908	218	14	a	a	DET
alkej-908	218	15	pdm	pdm	NOUN
alkej-908	218	16	method	method	NOUN
alkej-908	218	17	using	use	VERB
alkej-908	218	18	five	five	NUM
alkej-908	218	19	machine	machine	NOUN
alkej-908	218	20	learning	learn	VERB
alkej-908	218	21	algorithms	algorithm	NOUN
alkej-908	218	22	that	that	PRON
alkej-908	218	23	can	can	AUX
alkej-908	218	24	not	not	PART
alkej-908	218	25	only	only	ADV
alkej-908	218	26	monitor	monitor	VERB
alkej-908	218	27	the	the	DET
alkej-908	218	28	state	state	NOUN
alkej-908	218	29	of	of	ADP
alkej-908	218	30	the	the	DET
alkej-908	218	31	ac	ac	PROPN
alkej-908	218	32	motor	motor	NOUN
alkej-908	218	33	in	in	ADP
alkej-908	218	34	real	real	ADJ
alkej-908	218	35	-	-	PUNCT
alkej-908	218	36	time	time	NOUN
alkej-908	218	37	but	but	CCONJ
alkej-908	218	38	also	also	ADV
alkej-908	218	39	predict	predict	VERB
alkej-908	218	40	the	the	DET
alkej-908	218	41	fault	fault	NOUN
alkej-908	218	42	of	of	ADP
alkej-908	218	43	the	the	DET
alkej-908	218	44	ac	ac	PROPN
alkej-908	218	45	motor	motor	PROPN
alkej-908	218	46	in	in	ADP
alkej-908	218	47	advance	advance	NOUN
alkej-908	218	48	.	.	PUNCT
alkej-908	219	1	the	the	DET
alkej-908	219	2	outcomes	outcome	NOUN
alkej-908	219	3	of	of	ADP
alkej-908	219	4	our	our	PRON
alkej-908	219	5	analyses	analysis	NOUN
alkej-908	219	6	and	and	CCONJ
alkej-908	219	7	the	the	DET
alkej-908	219	8	resulting	result	VERB
alkej-908	219	9	findings	finding	NOUN
alkej-908	219	10	enable	enable	VERB
alkej-908	219	11	us	we	PRON
alkej-908	219	12	to	to	PART
alkej-908	219	13	draw	draw	VERB
alkej-908	219	14	meaningful	meaningful	ADJ
alkej-908	219	15	conclusions	conclusion	NOUN
alkej-908	219	16	regarding	regard	VERB
alkej-908	219	17	this	this	DET
alkej-908	219	18	research	research	NOUN
alkej-908	219	19	project	project	NOUN
alkej-908	219	20	.	.	PUNCT
alkej-908	220	1	two	two	NUM
alkej-908	220	2	primary	primary	ADJ
alkej-908	220	3	objectives	objective	NOUN
alkej-908	220	4	were	be	AUX
alkej-908	220	5	understood	understand	VERB
alkej-908	220	6	:	:	PUNCT
alkej-908	220	7	firstly	firstly	ADV
alkej-908	220	8	,	,	PUNCT
alkej-908	220	9	to	to	PART
alkej-908	220	10	predict	predict	VERB
alkej-908	220	11	machine	machine	NOUN
alkej-908	220	12	failure	failure	NOUN
alkej-908	220	13	,	,	PUNCT
alkej-908	220	14	and	and	CCONJ
alkej-908	220	15	secondly	secondly	ADV
alkej-908	220	16	,	,	PUNCT
alkej-908	220	17	to	to	PART
alkej-908	220	18	forecast	forecast	VERB
alkej-908	220	19	the	the	DET
alkej-908	220	20	specific	specific	ADJ
alkej-908	220	21	failure	failure	NOUN
alkej-908	220	22	type	type	NOUN
alkej-908	220	23	.	.	PUNCT
alkej-908	221	1	prior	prior	ADV
alkej-908	221	2	to	to	ADP
alkej-908	221	3	constructing	construct	VERB
alkej-908	221	4	our	our	PRON
alkej-908	221	5	models	model	NOUN
alkej-908	221	6	,	,	PUNCT
alkej-908	221	7	we	we	PRON
alkej-908	221	8	engaged	engage	VERB
alkej-908	221	9	in	in	ADP
alkej-908	221	10	comprehensive	comprehensive	ADJ
alkej-908	221	11	data	datum	NOUN
alkej-908	221	12	preprocessing	preprocesse	VERB
alkej-908	221	13	to	to	PART
alkej-908	221	14	validate	validate	VERB
alkej-908	221	15	model	model	NOUN
alkej-908	221	16	applicability	applicability	NOUN
alkej-908	221	17	assumptions	assumption	NOUN
alkej-908	221	18	and	and	CCONJ
alkej-908	221	19	optimize	optimize	NOUN
alkej-908	221	20	performance	performance	NOUN
alkej-908	221	21	.	.	PUNCT
alkej-908	222	1	in	in	ADP
alkej-908	222	2	this	this	DET
alkej-908	222	3	preprocessing	preprocessing	NOUN
alkej-908	222	4	phase	phase	NOUN
alkej-908	222	5	,	,	PUNCT
alkej-908	222	6	we	we	PRON
alkej-908	222	7	removed	remove	VERB
alkej-908	222	8	certain	certain	ADJ
alkej-908	222	9	ambiguous	ambiguous	ADJ
alkej-908	222	10	samples	sample	NOUN
alkej-908	222	11	,	,	PUNCT
alkej-908	222	12	performed	perform	VERB
alkej-908	222	13	label	label	NOUN
alkej-908	222	14	encoding	encoding	NOUN
alkej-908	222	15	on	on	ADP
alkej-908	222	16	categorical	categorical	ADJ
alkej-908	222	17	columns	column	NOUN
alkej-908	222	18	,	,	PUNCT
alkej-908	222	19	and	and	CCONJ
alkej-908	222	20	applied	apply	VERB
alkej-908	222	21	column	column	NOUN
alkej-908	222	22	scaling	scaling	NOUN
alkej-908	222	23	.	.	PUNCT
alkej-908	223	1	additionally	additionally	ADV
alkej-908	223	2	,	,	PUNCT
alkej-908	223	3	we	we	PRON
alkej-908	223	4	initially	initially	ADV
alkej-908	223	5	identified	identify	VERB
alkej-908	223	6	some	some	DET
alkej-908	223	7	data	datum	NOUN
alkej-908	223	8	points	point	NOUN
alkej-908	223	9	as	as	ADP
alkej-908	223	10	outliers	outlier	NOUN
alkej-908	223	11	,	,	PUNCT
alkej-908	223	12	which	which	PRON
alkej-908	223	13	,	,	PUNCT
alkej-908	223	14	upon	upon	SCONJ
alkej-908	223	15	further	further	ADJ
alkej-908	223	16	examination	examination	NOUN
alkej-908	223	17	,	,	PUNCT
alkej-908	223	18	were	be	AUX
alkej-908	223	19	revealed	reveal	VERB
alkej-908	223	20	to	to	PART
alkej-908	223	21	be	be	AUX
alkej-908	223	22	intrinsic	intrinsic	ADJ
alkej-908	223	23	to	to	ADP
alkej-908	223	24	the	the	DET
alkej-908	223	25	data	datum	NOUN
alkej-908	223	26	's	's	PART
alkej-908	223	27	natural	natural	ADJ
alkej-908	223	28	variability	variability	NOUN
alkej-908	223	29	and	and	CCONJ
alkej-908	223	30	played	play	VERB
alkej-908	223	31	a	a	DET
alkej-908	223	32	significant	significant	ADJ
alkej-908	223	33	role	role	NOUN
alkej-908	223	34	in	in	ADP
alkej-908	223	35	the	the	DET
alkej-908	223	36	classification	classification	NOUN
alkej-908	223	37	task	task	NOUN
alkej-908	223	38	.	.	PUNCT
alkej-908	224	1	consequently	consequently	ADV
alkej-908	224	2	,	,	PUNCT
alkej-908	224	3	we	we	PRON
alkej-908	224	4	determined	determine	VERB
alkej-908	224	5	that	that	SCONJ
alkej-908	224	6	these	these	DET
alkej-908	224	7	features	feature	NOUN
alkej-908	224	8	had	have	VERB
alkej-908	224	9	the	the	DET
alkej-908	224	10	most	most	ADV
alkej-908	224	11	substantial	substantial	ADJ
alkej-908	224	12	impact	impact	NOUN
alkej-908	224	13	on	on	ADP
alkej-908	224	14	predictions	prediction	NOUN
alkej-908	224	15	when	when	SCONJ
alkej-908	224	16	applying	apply	VERB
alkej-908	224	17	the	the	DET
alkej-908	224	18	models	model	NOUN
alkej-908	224	19	.	.	PUNCT
alkej-908	225	1	interestingly	interestingly	ADV
alkej-908	225	2	,	,	PUNCT
alkej-908	225	3	our	our	PRON
alkej-908	225	4	findings	finding	NOUN
alkej-908	225	5	,	,	PUNCT
alkej-908	225	6	according	accord	VERB
alkej-908	225	7	to	to	ADP
alkej-908	225	8	the	the	DET
alkej-908	225	9	case	case	NOUN
alkej-908	225	10	of	of	ADP
alkej-908	225	11	the	the	DET
alkej-908	225	12	ac	ac	PROPN
alkej-908	225	13	motor	motor	NOUN
alkej-908	225	14	,	,	PUNCT
alkej-908	225	15	demonstrated	demonstrate	VERB
alkej-908	225	16	that	that	SCONJ
alkej-908	225	17	the	the	DET
alkej-908	225	18	machine	machine	NOUN
alkej-908	225	19	's	's	PART
alkej-908	225	20	type	type	NOUN
alkej-908	225	21	did	do	AUX
alkej-908	225	22	not	not	PART
alkej-908	225	23	influence	influence	VERB
alkej-908	225	24	the	the	DET
alkej-908	225	25	occurrence	occurrence	NOUN
alkej-908	225	26	of	of	ADP
alkej-908	225	27	failures	failure	NOUN
alkej-908	225	28	.	.	PUNCT
alkej-908	226	1	we	we	PRON
alkej-908	226	2	can	can	AUX
alkej-908	226	3	conclude	conclude	VERB
alkej-908	226	4	that	that	PRON
alkej-908	226	5	for	for	ADP
alkej-908	226	6	both	both	DET
alkej-908	226	7	task	task	NOUN
alkej-908	226	8	the	the	DET
alkej-908	226	9	models	model	NOUN
alkej-908	226	10	are	be	AUX
alkej-908	226	11	the	the	DET
alkej-908	226	12	same	same	ADJ
alkej-908	226	13	in	in	ADP
alkej-908	226	14	their	their	PRON
alkej-908	226	15	performance	performance	NOUN
alkej-908	226	16	,	,	PUNCT
alkej-908	226	17	and	and	CCONJ
alkej-908	226	18	the	the	DET
alkej-908	226	19	only	only	ADJ
alkej-908	226	20	difference	difference	NOUN
alkej-908	226	21	is	be	AUX
alkej-908	226	22	the	the	DET
alkej-908	226	23	training	training	NOUN
alkej-908	226	24	time	time	NOUN
alkej-908	226	25	.	.	PUNCT
alkej-908	227	1	for	for	ADP
alkej-908	227	2	both	both	DET
alkej-908	227	3	tasks	task	NOUN
alkej-908	227	4	the	the	DET
alkej-908	227	5	best	good	ADJ
alkej-908	227	6	model	model	NOUN
alkej-908	227	7	is	be	AUX
alkej-908	227	8	knn	knn	PROPN
alkej-908	227	9	,	,	PUNCT
alkej-908	227	10	and	and	CCONJ
alkej-908	227	11	the	the	DET
alkej-908	227	12	worst	bad	ADJ
alkej-908	227	13	is	be	AUX
alkej-908	227	14	svc	svc	PROPN
alkej-908	227	15	for	for	ADP
alkej-908	227	16	binary	binary	ADJ
alkej-908	227	17	task	task	NOUN
alkej-908	227	18	,	,	PUNCT
alkej-908	227	19	and	and	CCONJ
alkej-908	227	20	xgb	xgb	NOUN
alkej-908	227	21	for	for	ADP
alkej-908	227	22	multi	multi	ADJ
alkej-908	227	23	-	-	ADJ
alkej-908	227	24	class	class	ADJ
alkej-908	227	25	task	task	NOUN
alkej-908	227	26	according	accord	VERB
alkej-908	227	27	to	to	ADP
alkej-908	227	28	the	the	DET
alkej-908	227	29	response	response	NOUN
alkej-908	227	30	noor	noor	PROPN
alkej-908	227	31	a.	a.	PROPN
alkej-908	227	32	mohammed	mohammed	PROPN
alkej-908	227	33	al	al	PROPN
alkej-908	227	34	-	-	PUNCT
alkej-908	227	35	khwarizmi	khwarizmi	PROPN
alkej-908	227	36	engineering	engineering	NOUN
alkej-908	227	37	journal	journal	PROPN
alkej-908	227	38	,	,	PUNCT
alkej-908	227	39	vol	vol	NOUN
alkej-908	227	40	.	.	PROPN
alkej-908	227	41	20	20	NUM
alkej-908	227	42	,	,	PUNCT
alkej-908	227	43	no.2	no.2	PROPN
alkej-908	227	44	,	,	PUNCT
alkej-908	227	45	p.p	p.p	PROPN
alkej-908	227	46	.	.	NOUN
alkej-908	227	47	2638(2024	2638(2024	NUM
alkej-908	227	48	)	)	PUNCT
alkej-908	227	49	36	36	NUM
alkej-908	227	50	time	time	NOUN
alkej-908	227	51	.	.	PUNCT
alkej-908	228	1	the	the	DET
alkej-908	228	2	choice	choice	NOUN
alkej-908	228	3	of	of	ADP
alkej-908	228	4	the	the	DET
alkej-908	228	5	model	model	NOUN
alkej-908	228	6	depends	depend	VERB
alkej-908	228	7	on	on	ADP
alkej-908	228	8	the	the	DET
alkej-908	228	9	needs	need	NOUN
alkej-908	228	10	of	of	ADP
alkej-908	228	11	the	the	DET
alkej-908	228	12	company	company	NOUN
alkej-908	228	13	;	;	PUNCT
alkej-908	228	14	for	for	ADP
alkej-908	228	15	faster	fast	ADJ
alkej-908	228	16	application	application	NOUN
alkej-908	228	17	,	,	PUNCT
alkej-908	228	18	one	one	PRON
alkej-908	228	19	can	can	AUX
alkej-908	228	20	use	use	VERB
alkej-908	228	21	knn	knn	PROPN
alkej-908	228	22	.	.	PUNCT
alkej-908	229	1	further	far	ADV
alkej-908	229	2	,	,	PUNCT
alkej-908	229	3	there	there	PRON
alkej-908	229	4	are	be	VERB
alkej-908	229	5	more	more	ADJ
alkej-908	229	6	challenges	challenge	NOUN
alkej-908	229	7	to	to	PART
alkej-908	229	8	be	be	AUX
alkej-908	229	9	considered	consider	VERB
alkej-908	229	10	in	in	ADP
alkej-908	229	11	future	future	ADJ
alkej-908	229	12	research	research	NOUN
alkej-908	229	13	,	,	PUNCT
alkej-908	229	14	such	such	ADJ
alkej-908	229	15	as	as	ADP
alkej-908	229	16	the	the	DET
alkej-908	229	17	ability	ability	NOUN
alkej-908	229	18	to	to	PART
alkej-908	229	19	predict	predict	VERB
alkej-908	229	20	unknown	unknown	ADJ
alkej-908	229	21	faults	fault	NOUN
alkej-908	229	22	,	,	PUNCT
alkej-908	229	23	which	which	PRON
alkej-908	229	24	needs	need	VERB
alkej-908	229	25	to	to	PART
alkej-908	229	26	be	be	AUX
alkej-908	229	27	optimized	optimize	VERB
alkej-908	229	28	.	.	PUNCT
alkej-908	230	1	future	future	ADJ
alkej-908	230	2	research	research	NOUN
alkej-908	230	3	can	can	AUX
alkej-908	230	4	be	be	AUX
alkej-908	230	5	extended	extend	VERB
alkej-908	230	6	to	to	ADP
alkej-908	230	7	the	the	DET
alkej-908	230	8	use	use	NOUN
alkej-908	230	9	federated	federated	ADJ
alkej-908	230	10	learning	learning	NOUN
alkej-908	230	11	between	between	ADP
alkej-908	230	12	many	many	ADJ
alkej-908	230	13	ac	ac	PROPN
alkej-908	230	14	motors	motor	NOUN
alkej-908	230	15	that	that	PRON
alkej-908	230	16	is	be	AUX
alkej-908	230	17	dynamic	dynamic	ADJ
alkej-908	230	18	in	in	ADP
alkej-908	230	19	client	client	NOUN
alkej-908	230	20	sample	sample	NOUN
alkej-908	230	21	sizes	size	NOUN
alkej-908	230	22	,	,	PUNCT
alkej-908	230	23	client	client	NOUN
alkej-908	230	24	distributions	distribution	NOUN
alkej-908	230	25	,	,	PUNCT
alkej-908	230	26	and	and	CCONJ
alkej-908	230	27	the	the	DET
alkej-908	230	28	client	client	NOUN
alkej-908	230	29	set	set	VERB
alkej-908	230	30	as	as	ADP
alkej-908	230	31	a	a	DET
alkej-908	230	32	whole	whole	NOUN
alkej-908	230	33	.	.	PUNCT
alkej-908	231	1	symbols	symbol	NOUN
alkej-908	231	2	and	and	CCONJ
alkej-908	231	3	abbreviations	abbreviation	NOUN
alkej-908	231	4	auc	auc	NOUN
alkej-908	231	5	accuracy	accuracy	NOUN
alkej-908	231	6	fn	fn	X
alkej-908	231	7	false	false	ADJ
alkej-908	231	8	negative	negative	ADJ
alkej-908	231	9	fp	fp	PRON
alkej-908	231	10	false	false	ADJ
alkej-908	231	11	positive	positive	ADJ
alkej-908	231	12	knn	knn	NOUN
alkej-908	231	13	k	k	NOUN
alkej-908	231	14	-	-	PUNCT
alkej-908	231	15	nearest	near	ADJ
alkej-908	231	16	neighbors	neighbor	NOUN
alkej-908	231	17	lr	lr	X
alkej-908	231	18	logistic	logistic	ADJ
alkej-908	231	19	regression	regression	NOUN
alkej-908	231	20	ml	ml	ADP
alkej-908	231	21	machine	machine	NOUN
alkej-908	231	22	learning	learn	VERB
alkej-908	231	23	nb	nb	PROPN
alkej-908	231	24	naive	naive	ADJ
alkej-908	231	25	bayes	bayes	NOUN
alkej-908	231	26	pdm	pdm	PROPN
alkej-908	231	27	predictive	predictive	ADJ
alkej-908	231	28	maintenance	maintenance	NOUN
alkej-908	231	29	rfc	rfc	PROPN
alkej-908	231	30	random	random	ADJ
alkej-908	231	31	forest	forest	NOUN
alkej-908	231	32	smote	smote	ADJ
alkej-908	231	33	synthetic	synthetic	ADJ
alkej-908	231	34	minority	minority	NOUN
alkej-908	231	35	oversampling	oversample	VERB
alkej-908	231	36	technique	technique	NOUN
alkej-908	231	37	svc	svc	NOUN
alkej-908	231	38	support	support	VERB
alkej-908	231	39	vector	vector	NOUN
alkej-908	231	40	classifier	classifier	NOUN
alkej-908	231	41	tn	tn	PROPN
alkej-908	231	42	true	true	ADJ
alkej-908	231	43	negative	negative	ADJ
alkej-908	231	44	tp	tp	ADP
alkej-908	231	45	true	true	ADJ
alkej-908	231	46	positive	positive	ADJ
alkej-908	231	47	ttf	ttf	NOUN
alkej-908	231	48	time	time	NOUN
alkej-908	231	49	to	to	PART
alkej-908	231	50	failure	failure	NOUN
alkej-908	231	51	xgb	xgb	PROPN
alkej-908	232	1	xgboost	xgboost	ADV
alkej-908	233	1	references	reference	NOUN
alkej-908	233	2	[	[	X
alkej-908	233	3	1	1	NUM
alkej-908	233	4	]	]	X
alkej-908	233	5	pech	pech	NOUN
alkej-908	233	6	,	,	PUNCT
alkej-908	233	7	m.	m.	NOUN
alkej-908	233	8	;	;	PUNCT
alkej-908	233	9	vrchota	vrchota	NOUN
alkej-908	233	10	,	,	PUNCT
alkej-908	233	11	j.	j.	PROPN
alkej-908	233	12	;	;	PUNCT
alkej-908	233	13	bednář	bednář	NOUN
alkej-908	233	14	,	,	PUNCT
alkej-908	233	15	j.	j.	PROPN
alkej-908	233	16	predictive	predictive	ADJ
alkej-908	233	17	maintenance	maintenance	NOUN
alkej-908	233	18	and	and	CCONJ
alkej-908	233	19	intelligent	intelligent	ADJ
alkej-908	233	20	sensors	sensor	NOUN
alkej-908	233	21	in	in	ADP
alkej-908	233	22	smart	smart	ADJ
alkej-908	233	23	factory	factory	NOUN
alkej-908	233	24	:	:	PUNCT
alkej-908	233	25	review	review	NOUN
alkej-908	233	26	.	.	PUNCT
alkej-908	234	1	sensors	sensor	NOUN
alkej-908	234	2	2021	2021	NUM
alkej-908	234	3	,	,	PUNCT
alkej-908	234	4	21	21	NUM
alkej-908	234	5	,	,	PUNCT
alkej-908	234	6	1470	1470	NUM
alkej-908	234	7	.	.	PUNCT
alkej-908	235	1	https://doi.org/10.3390/s21041470	https://doi.org/10.3390/s21041470	NUM
alkej-908	235	2	[	[	X
alkej-908	235	3	2	2	NUM
alkej-908	235	4	]	]	X
alkej-908	235	5	andreas	andrea	NOUN
alkej-908	235	6	,	,	PUNCT
alkej-908	235	7	t.	t.	PROPN
alkej-908	235	8	;	;	PUNCT
alkej-908	235	9	judith	judith	PROPN
alkej-908	235	10	,	,	PUNCT
alkej-908	235	11	p.	p.	PROPN
alkej-908	235	12	;	;	PUNCT
alkej-908	235	13	marcel	marcel	PROPN
alkej-908	235	14	,	,	PUNCT
alkej-908	235	15	k.	k.	PROPN
alkej-908	235	16	;	;	PUNCT
alkej-908	235	17	gordon	gordon	PROPN
alkej-908	235	18	,	,	PUNCT
alkej-908	235	19	e.	e.	PROPN
alkej-908	235	20	predictive	predictive	PROPN
alkej-908	235	21	maintenance	maintenance	NOUN
alkej-908	235	22	enabled	enable	VERB
alkej-908	235	23	by	by	ADP
alkej-908	235	24	machine	machine	NOUN
alkej-908	235	25	learning	learning	NOUN
alkej-908	235	26	:	:	PUNCT
alkej-908	235	27	use	use	VERB
alkej-908	235	28	cases	case	NOUN
alkej-908	235	29	and	and	CCONJ
alkej-908	235	30	challenges	challenge	NOUN
alkej-908	235	31	in	in	ADP
alkej-908	235	32	the	the	DET
alkej-908	235	33	automotive	automotive	ADJ
alkej-908	235	34	industry	industry	NOUN
alkej-908	235	35	.	.	PUNCT
alkej-908	236	1	reliability	reliability	NOUN
alkej-908	236	2	engineering	engineering	NOUN
alkej-908	236	3	&	&	CCONJ
alkej-908	236	4	system	system	NOUN
alkej-908	236	5	safety	safety	NOUN
alkej-908	236	6	2021	2021	NUM
alkej-908	236	7	,	,	PUNCT
alkej-908	236	8	215	215	NUM
alkej-908	236	9	,	,	PUNCT
alkej-908	236	10	107864	107864	NUM
alkej-908	236	11	.	.	PUNCT
alkej-908	237	1	https://doi.org/10.1016/j.ress.2021.107864	https://doi.org/10.1016/j.ress.2021.107864	PROPN
alkej-908	238	1	[	[	X
alkej-908	238	2	3	3	NUM
alkej-908	238	3	]	]	X
alkej-908	238	4	onur	onur	PROPN
alkej-908	238	5	,	,	PUNCT
alkej-908	238	6	s.	s.	PROPN
alkej-908	238	7	;	;	PUNCT
alkej-908	238	8	stephen	stephen	PROPN
alkej-908	238	9	,	,	PUNCT
alkej-908	238	10	a.	a.	PROPN
alkej-908	238	11	;	;	PUNCT
alkej-908	238	12	john	john	PROPN
alkej-908	238	13	,	,	PUNCT
alkej-908	238	14	y.	y.	PROPN
alkej-908	238	15	condition	condition	NOUN
alkej-908	238	16	monitoring	monitoring	NOUN
alkej-908	238	17	using	use	VERB
alkej-908	238	18	machine	machine	NOUN
alkej-908	238	19	learning	learning	NOUN
alkej-908	238	20	:	:	PUNCT
alkej-908	238	21	a	a	DET
alkej-908	238	22	review	review	NOUN
alkej-908	238	23	of	of	ADP
alkej-908	238	24	theory	theory	NOUN
alkej-908	238	25	,	,	PUNCT
alkej-908	238	26	applications	application	NOUN
alkej-908	238	27	,	,	PUNCT
alkej-908	238	28	and	and	CCONJ
alkej-908	238	29	recent	recent	ADJ
alkej-908	238	30	advances	advance	NOUN
alkej-908	238	31	.	.	PUNCT
alkej-908	239	1	expert	expert	NOUN
alkej-908	239	2	systems	system	NOUN
alkej-908	239	3	with	with	ADP
alkej-908	239	4	applications	application	NOUN
alkej-908	239	5	2023	2023	NUM
alkej-908	239	6	,	,	PUNCT
alkej-908	239	7	221	221	NUM
alkej-908	239	8	,	,	PUNCT
alkej-908	239	9	119738	119738	NUM
alkej-908	239	10	.	.	PUNCT
alkej-908	240	1	https://doi.org/10.1016/j.eswa.2023.119738	https://doi.org/10.1016/j.eswa.2023.119738	NOUN
alkej-908	240	2	[	[	X
alkej-908	240	3	4	4	X
alkej-908	240	4	]	]	X
alkej-908	240	5	[	[	X
alkej-908	240	6	4	4	NUM
alkej-908	240	7	]	]	X
alkej-908	240	8	rojek	rojek	NOUN
alkej-908	240	9	,	,	PUNCT
alkej-908	240	10	i.	i.	NOUN
alkej-908	240	11	;	;	PUNCT
alkej-908	240	12	jasiulewicz	jasiulewicz	PROPN
alkej-908	240	13	kaczmarek	kaczmarek	PROPN
alkej-908	240	14	,	,	PUNCT
alkej-908	240	15	m.	m.	NOUN
alkej-908	240	16	;	;	PUNCT
alkej-908	240	17	piechowski	piechowski	NOUN
alkej-908	240	18	,	,	PUNCT
alkej-908	240	19	m.	m.	NOUN
alkej-908	240	20	;	;	PUNCT
alkej-908	240	21	mikołajewski	mikołajewski	PROPN
alkej-908	240	22	,	,	PUNCT
alkej-908	240	23	d.	d.	PROPN
alkej-908	240	24	an	an	DET
alkej-908	240	25	artificial	artificial	ADJ
alkej-908	240	26	intelligence	intelligence	NOUN
alkej-908	240	27	approach	approach	NOUN
alkej-908	240	28	for	for	ADP
alkej-908	240	29	improving	improve	VERB
alkej-908	240	30	maintenance	maintenance	NOUN
alkej-908	240	31	to	to	PART
alkej-908	240	32	supervise	supervise	VERB
alkej-908	240	33	machine	machine	NOUN
alkej-908	240	34	failures	failure	NOUN
alkej-908	240	35	and	and	CCONJ
alkej-908	240	36	support	support	VERB
alkej-908	240	37	their	their	PRON
alkej-908	240	38	repair	repair	NOUN
alkej-908	240	39	.	.	PUNCT
alkej-908	241	1	appl	appl	PROPN
alkej-908	241	2	.	.	PUNCT
alkej-908	242	1	sci	sci	PROPN
alkej-908	242	2	.	.	PROPN
alkej-908	242	3	2023	2023	NUM
alkej-908	242	4	,	,	PUNCT
alkej-908	242	5	13	13	NUM
alkej-908	242	6	,	,	PUNCT
alkej-908	242	7	4971	4971	NUM
alkej-908	242	8	.	.	PUNCT
alkej-908	243	1	https://	https://	NOUN
alkej-908	243	2	doi.org/10.3390/app13084971	doi.org/10.3390/app13084971	PUNCT
alkej-908	244	1	[	[	X
alkej-908	244	2	5	5	NUM
alkej-908	244	3	]	]	SYM
alkej-908	244	4	silvestrin	silvestrin	NOUN
alkej-908	244	5	,	,	PUNCT
alkej-908	244	6	l.p	l.p	PROPN
alkej-908	244	7	.	.	PROPN
alkej-908	244	8	;	;	PUNCT
alkej-908	244	9	hoogendoorn	hoogendoorn	ADJ
alkej-908	244	10	,	,	PUNCT
alkej-908	244	11	m.	m.	NOUN
alkej-908	244	12	;	;	PUNCT
alkej-908	244	13	koole	koole	PROPN
alkej-908	244	14	,	,	PUNCT
alkej-908	244	15	g.	g.	PROPN
alkej-908	244	16	a	a	DET
alkej-908	244	17	comparative	comparative	ADJ
alkej-908	244	18	study	study	NOUN
alkej-908	244	19	of	of	ADP
alkej-908	244	20	state	state	NOUN
alkej-908	244	21	-	-	PUNCT
alkej-908	244	22	of	of	ADP
alkej-908	244	23	-	-	PUNCT
alkej-908	244	24	the	the	DET
alkej-908	244	25	-	-	PUNCT
alkej-908	244	26	art	art	NOUN
alkej-908	244	27	machine	machine	NOUN
alkej-908	244	28	learning	learn	VERB
alkej-908	244	29	algorithms	algorithm	NOUN
alkej-908	244	30	for	for	ADP
alkej-908	244	31	predictive	predictive	ADJ
alkej-908	244	32	maintenance	maintenance	NOUN
alkej-908	244	33	.	.	PUNCT
alkej-908	245	1	in	in	ADP
alkej-908	245	2	proceedings	proceeding	NOUN
alkej-908	245	3	of	of	ADP
alkej-908	245	4	the	the	DET
alkej-908	245	5	ssci	ssci	PROPN
alkej-908	245	6	,	,	PUNCT
alkej-908	245	7	xiamen	xiamen	PROPN
alkej-908	245	8	,	,	PUNCT
alkej-908	245	9	china	china	PROPN
alkej-908	245	10	,	,	PUNCT
alkej-908	245	11	6–9	6–9	PROPN
alkej-908	245	12	december	december	PROPN
alkej-908	245	13	2019	2019	NUM
alkej-908	245	14	;	;	PUNCT
alkej-908	245	15	ieee	ieee	NOUN
alkej-908	245	16	:	:	PUNCT
alkej-908	245	17	piscataway	piscataway	PROPN
alkej-908	245	18	,	,	PUNCT
alkej-908	245	19	nj	nj	PROPN
alkej-908	245	20	,	,	PUNCT
alkej-908	245	21	usa	usa	PROPN
alkej-908	245	22	,	,	PUNCT
alkej-908	245	23	2019	2019	NUM
alkej-908	245	24	;	;	PUNCT
alkej-908	245	25	pp	pp	ADP
alkej-908	245	26	.	.	PUNCT
alkej-908	246	1	760–767	760–767	X
alkej-908	246	2	.	.	PUNCT
alkej-908	247	1	https://	https://	PROPN
alkej-908	247	2	doi	doi	PROPN
alkej-908	247	3	:	:	PUNCT
alkej-908	247	4	10.1109	10.1109	NUM
alkej-908	247	5	/	/	SYM
alkej-908	247	6	ssci44817.2019.9003044	ssci44817.2019.9003044	X
alkej-908	247	7	[	[	X
alkej-908	247	8	6	6	NUM
alkej-908	247	9	]	]	PUNCT
alkej-908	247	10	ashok	ashok	NOUN
alkej-908	247	11	,	,	PUNCT
alkej-908	247	12	k.	k.	PROPN
alkej-908	247	13	p.	p.	PROPN
alkej-908	247	14	;	;	PUNCT
alkej-908	247	15	pratik	pratik	NOUN
alkej-908	247	16	,	,	PUNCT
alkej-908	247	17	m.	m.	NOUN
alkej-908	247	18	;	;	PUNCT
alkej-908	247	19	pradeep	pradeep	PROPN
alkej-908	247	20	,	,	PUNCT
alkej-908	247	21	p.	p.	NOUN
alkej-908	247	22	machine	machine	NOUN
alkej-908	247	23	learning	learning	NOUN
alkej-908	247	24	based	base	VERB
alkej-908	247	25	predictive	predictive	ADJ
alkej-908	247	26	maintenance	maintenance	NOUN
alkej-908	247	27	model	model	NOUN
alkej-908	247	28	.	.	PUNCT
alkej-908	248	1	proceedings	proceeding	NOUN
alkej-908	248	2	of	of	ADP
alkej-908	248	3	the	the	DET
alkej-908	248	4	2nd	2nd	PROPN
alkej-908	248	5	indian	indian	PROPN
alkej-908	248	6	international	international	ADJ
alkej-908	248	7	conference	conference	NOUN
alkej-908	248	8	on	on	ADP
alkej-908	248	9	industrial	industrial	ADJ
alkej-908	248	10	engineering	engineering	NOUN
alkej-908	248	11	and	and	CCONJ
alkej-908	248	12	operations	operation	NOUN
alkej-908	248	13	management	management	NOUN
alkej-908	248	14	,	,	PUNCT
alkej-908	248	15	warangal	warangal	PROPN
alkej-908	248	16	,	,	PUNCT
alkej-908	248	17	telangana	telangana	PROPN
alkej-908	248	18	,	,	PUNCT
alkej-908	248	19	india	india	PROPN
alkej-908	248	20	,	,	PUNCT
alkej-908	248	21	august	august	PROPN
alkej-908	248	22	2022	2022	NUM
alkej-908	248	23	.	.	PUNCT
alkej-908	249	1	[	[	X
alkej-908	249	2	7	7	NUM
alkej-908	249	3	]	]	X
alkej-908	249	4	pan	pan	NOUN
alkej-908	249	5	,	,	PUNCT
alkej-908	249	6	s.-j	s.-j	PROPN
alkej-908	249	7	.	.	PUNCT
alkej-908	249	8	;	;	PUNCT
alkej-908	249	9	tsai	tsai	PROPN
alkej-908	249	10	,	,	PUNCT
alkej-908	249	11	m.-l	m.-l	PROPN
alkej-908	249	12	.	.	PUNCT
alkej-908	249	13	;	;	PUNCT
alkej-908	249	14	chen	chen	PROPN
alkej-908	249	15	,	,	PUNCT
alkej-908	249	16	c.-l	c.-l	PROPN
alkej-908	249	17	.	.	PUNCT
alkej-908	249	18	;	;	PUNCT
alkej-908	249	19	lin	lin	PROPN
alkej-908	249	20	,	,	PUNCT
alkej-908	249	21	p.t	p.t	PROPN
alkej-908	249	22	.	.	PROPN
alkej-908	249	23	;	;	PUNCT
alkej-908	249	24	lee	lee	PROPN
alkej-908	249	25	,	,	PUNCT
alkej-908	249	26	h.-y	h.-y	VERB
alkej-908	249	27	.	.	PUNCT
alkej-908	250	1	investigation	investigation	NOUN
alkej-908	250	2	of	of	ADP
alkej-908	250	3	machine	machine	NOUN
alkej-908	250	4	learning	learning	NOUN
alkej-908	250	5	methods	method	NOUN
alkej-908	250	6	for	for	ADP
alkej-908	250	7	predictive	predictive	ADJ
alkej-908	250	8	maintenance	maintenance	NOUN
alkej-908	250	9	of	of	ADP
alkej-908	250	10	the	the	DET
alkej-908	250	11	ultra	ultra	ADJ
alkej-908	250	12	-	-	ADJ
alkej-908	250	13	high	high	ADJ
alkej-908	250	14	-	-	PUNCT
alkej-908	250	15	pressure	pressure	NOUN
alkej-908	250	16	reactor	reactor	NOUN
alkej-908	250	17	in	in	ADP
alkej-908	250	18	a	a	DET
alkej-908	250	19	polyethylene	polyethylene	NOUN
alkej-908	250	20	-	-	PUNCT
alkej-908	250	21	vinyl	vinyl	NOUN
alkej-908	250	22	acetate	acetate	NOUN
alkej-908	250	23	production	production	NOUN
alkej-908	250	24	process	process	NOUN
alkej-908	250	25	.	.	PUNCT
alkej-908	251	1	electronics	electronic	NOUN
alkej-908	251	2	2023	2023	NUM
alkej-908	251	3	,	,	PUNCT
alkej-908	251	4	12	12	NUM
alkej-908	251	5	,	,	PUNCT
alkej-908	251	6	580	580	NUM
alkej-908	251	7	.	.	PUNCT
alkej-908	252	1	https://doi.org/10.3390/	https://doi.org/10.3390/	PROPN
alkej-908	252	2	electronics12030580	electronics12030580	PROPN
alkej-908	252	3	[	[	X
alkej-908	252	4	8	8	NUM
alkej-908	252	5	]	]	X
alkej-908	252	6	chaitali	chaitali	PROPN
alkej-908	252	7	,	,	PUNCT
alkej-908	252	8	r.	r.	PROPN
alkej-908	252	9	p.	p.	PROPN
alkej-908	252	10	;	;	PUNCT
alkej-908	252	11	sanika	sanika	PROPN
alkej-908	252	12	,	,	PUNCT
alkej-908	252	13	k.	k.	PROPN
alkej-908	252	14	j.	j.	PROPN
alkej-908	252	15	;	;	PUNCT
alkej-908	252	16	asmeeta	asmeeta	PROPN
alkej-908	252	17	,	,	PUNCT
alkej-908	252	18	l.	l.	PROPN
alkej-908	252	19	b.	b.	PROPN
alkej-908	252	20	;	;	PUNCT
alkej-908	253	1	ankita	ankita	PROPN
alkej-908	253	2	p.	p.	PROPN
alkej-908	253	3	d.	d.	PROPN
alkej-908	253	4	;	;	PUNCT
alkej-908	253	5	mahee	mahee	PROPN
alkej-908	253	6	p.	p.	PROPN
alkej-908	253	7	r.	r.	PROPN
alkej-908	253	8	machine	machine	PROPN
alkej-908	253	9	learningbased	learningbase	VERB
alkej-908	253	10	predictive	predictive	ADJ
alkej-908	253	11	maintenance	maintenance	NOUN
alkej-908	253	12	of	of	ADP
alkej-908	253	13	industrial	industrial	ADJ
alkej-908	253	14	machines	machine	NOUN
alkej-908	253	15	.	.	PUNCT
alkej-908	254	1	international	international	ADJ
alkej-908	254	2	journal	journal	PROPN
alkej-908	254	3	of	of	ADP
alkej-908	254	4	computer	computer	NOUN
alkej-908	254	5	trends	trend	NOUN
alkej-908	254	6	and	and	CCONJ
alkej-908	254	7	technology	technology	NOUN
alkej-908	254	8	2023	2023	NUM
alkej-908	254	9	,	,	PUNCT
alkej-908	254	10	71	71	NUM
alkej-908	254	11	,	,	PUNCT
alkej-908	254	12	3	3	NUM
alkej-908	254	13	,	,	PUNCT
alkej-908	254	14	50	50	NUM
alkej-908	254	15	-	-	SYM
alkej-908	254	16	56	56	NUM
alkej-908	254	17	.	.	PUNCT
alkej-908	255	1	https://doi.org/10.14445/22312803/ijcttv71i3p108	https://doi.org/10.14445/22312803/ijcttv71i3p108	PROPN
alkej-908	255	2	[	[	X
alkej-908	255	3	9	9	NUM
alkej-908	255	4	]	]	PUNCT
alkej-908	255	5	uppal	uppal	NOUN
alkej-908	255	6	,	,	PUNCT
alkej-908	255	7	m.	m.	NOUN
alkej-908	255	8	;	;	PUNCT
alkej-908	255	9	gupta	gupta	PROPN
alkej-908	255	10	,	,	PUNCT
alkej-908	255	11	d.	d.	PROPN
alkej-908	255	12	;	;	PUNCT
alkej-908	255	13	goyal	goyal	PROPN
alkej-908	255	14	,	,	PUNCT
alkej-908	255	15	n.	n.	NOUN
alkej-908	255	16	;	;	PUNCT
alkej-908	255	17	imoize	imoize	VERB
alkej-908	255	18	,	,	PUNCT
alkej-908	255	19	a.l	a.l	PROPN
alkej-908	255	20	.	.	PROPN
alkej-908	255	21	;	;	PUNCT
alkej-908	256	1	kumar	kumar	PROPN
alkej-908	256	2	,	,	PUNCT
alkej-908	256	3	a.	a.	NOUN
alkej-908	256	4	;	;	PUNCT
alkej-908	256	5	ojo	ojo	NOUN
alkej-908	256	6	,	,	PUNCT
alkej-908	256	7	s.	s.	PROPN
alkej-908	256	8	;	;	PUNCT
alkej-908	256	9	pani	pani	PROPN
alkej-908	256	10	,	,	PUNCT
alkej-908	256	11	s.k	s.k	PROPN
alkej-908	256	12	.	.	PROPN
alkej-908	256	13	;	;	PUNCT
alkej-908	256	14	kim	kim	PROPN
alkej-908	256	15	,	,	PUNCT
alkej-908	256	16	y.	y.	PROPN
alkej-908	256	17	;	;	PUNCT
alkej-908	256	18	choi	choi	PROPN
alkej-908	256	19	,	,	PUNCT
alkej-908	256	20	j.	j.	PROPN
alkej-908	256	21	a	a	DET
alkej-908	256	22	real	real	ADJ
alkej-908	256	23	-	-	PUNCT
alkej-908	256	24	time	time	NOUN
alkej-908	256	25	data	datum	NOUN
alkej-908	256	26	monitoring	monitor	VERB
alkej-908	256	27	framework	framework	NOUN
alkej-908	256	28	for	for	ADP
alkej-908	256	29	predictive	predictive	ADJ
alkej-908	256	30	maintenance	maintenance	NOUN
alkej-908	256	31	based	base	VERB
alkej-908	256	32	on	on	ADP
alkej-908	256	33	the	the	DET
alkej-908	256	34	internet	internet	NOUN
alkej-908	256	35	of	of	ADP
alkej-908	256	36	things	thing	NOUN
alkej-908	256	37	.	.	PUNCT
alkej-908	257	1	complexity	complexity	NOUN
alkej-908	257	2	2023	2023	NUM
alkej-908	257	3	,	,	PUNCT
alkej-908	257	4	9991029	9991029	NUM
alkej-908	257	5	.	.	PUNCT
alkej-908	258	1	https://doi.org/10.1155/2023/9991029	https://doi.org/10.1155/2023/9991029	VERB
alkej-908	259	1	[	[	X
alkej-908	259	2	10	10	NUM
alkej-908	259	3	]	]	X
alkej-908	259	4	achouch	achouch	ADJ
alkej-908	259	5	,	,	PUNCT
alkej-908	259	6	m.	m.	NOUN
alkej-908	259	7	;	;	PUNCT
alkej-908	259	8	dimitrova	dimitrova	PROPN
alkej-908	259	9	,	,	PUNCT
alkej-908	259	10	m.	m.	NOUN
alkej-908	259	11	;	;	PUNCT
alkej-908	259	12	dhouib	dhouib	PROPN
alkej-908	259	13	,	,	PUNCT
alkej-908	259	14	r.	r.	PROPN
alkej-908	259	15	;	;	PUNCT
alkej-908	259	16	ibrahim	ibrahim	PROPN
alkej-908	259	17	,	,	PUNCT
alkej-908	259	18	h.	h.	PROPN
alkej-908	259	19	;	;	PUNCT
alkej-908	259	20	adda	adda	PROPN
alkej-908	259	21	,	,	PUNCT
alkej-908	259	22	m.	m.	NOUN
alkej-908	259	23	;	;	PUNCT
alkej-908	259	24	sattarpanah	sattarpanah	PROPN
alkej-908	259	25	karganroudi	karganroudi	PROPN
alkej-908	259	26	,	,	PUNCT
alkej-908	259	27	s.	s.	PROPN
alkej-908	259	28	;	;	PUNCT
alkej-908	259	29	ziane	ziane	PROPN
alkej-908	259	30	,	,	PUNCT
alkej-908	259	31	k.	k.	PROPN
alkej-908	259	32	;	;	PUNCT
alkej-908	259	33	aminzadeh	aminzadeh	PROPN
alkej-908	259	34	,	,	PUNCT
alkej-908	259	35	a.	a.	NOUN
alkej-908	259	36	predictive	predictive	NOUN
alkej-908	259	37	maintenance	maintenance	NOUN
alkej-908	259	38	and	and	CCONJ
alkej-908	259	39	fault	fault	NOUN
alkej-908	259	40	monitoring	monitoring	NOUN
alkej-908	259	41	enabled	enable	VERB
alkej-908	259	42	by	by	ADP
alkej-908	259	43	machine	machine	NOUN
alkej-908	259	44	learning	learning	NOUN
alkej-908	259	45	:	:	PUNCT
alkej-908	259	46	experimental	experimental	ADJ
alkej-908	259	47	analysis	analysis	NOUN
alkej-908	259	48	of	of	ADP
alkej-908	259	49	a	a	DET
alkej-908	259	50	ta-48	ta-48	DET
alkej-908	259	51	multistage	multistage	NOUN
alkej-908	259	52	centrifugal	centrifugal	ADJ
alkej-908	259	53	plant	plant	NOUN
alkej-908	259	54	compressor	compressor	NOUN
alkej-908	259	55	.	.	PUNCT
alkej-908	260	1	appl	appl	PROPN
alkej-908	260	2	.	.	PUNCT
alkej-908	261	1	sci	sci	PROPN
alkej-908	261	2	.	.	PROPN
alkej-908	261	3	2023	2023	NUM
alkej-908	261	4	,	,	PUNCT
alkej-908	261	5	13	13	NUM
alkej-908	261	6	,	,	PUNCT
alkej-908	261	7	1790	1790	NUM
alkej-908	261	8	.	.	PUNCT
alkej-908	262	1	https://doi.org/10.3390/app13031790	https://doi.org/10.3390/app13031790	ADJ
alkej-908	262	2	[	[	X
alkej-908	262	3	11	11	NUM
alkej-908	262	4	]	]	X
alkej-908	262	5	qadir	qadir	PROPN
alkej-908	262	6	mohammed	mohammed	PROPN
alkej-908	262	7	,	,	PUNCT
alkej-908	262	8	salim	salim	PROPN
alkej-908	262	9	;	;	PUNCT
alkej-908	262	10	a.	a.	PROPN
alkej-908	262	11	hussein	hussein	PROPN
alkej-908	262	12	,	,	PUNCT
alkej-908	262	13	m.	m.	NOUN
alkej-908	262	14	performance	performance	NOUN
alkej-908	262	15	analysis	analysis	NOUN
alkej-908	262	16	of	of	ADP
alkej-908	262	17	different	different	ADJ
alkej-908	262	18	machine	machine	NOUN
alkej-908	262	19	learning	learning	NOUN
alkej-908	262	20	models	model	NOUN
alkej-908	262	21	for	for	ADP
alkej-908	262	22	intrusion	intrusion	NOUN
alkej-908	262	23	detection	detection	NOUN
alkej-908	262	24	systems	system	NOUN
alkej-908	262	25	.	.	PUNCT
alkej-908	263	1	jcoeng	jcoeng	PROPN
alkej-908	263	2	2022	2022	NUM
alkej-908	263	3	,	,	PUNCT
alkej-908	263	4	28	28	NUM
alkej-908	263	5	,	,	PUNCT
alkej-908	263	6	61	61	NUM
alkej-908	263	7	-	-	SYM
alkej-908	263	8	91	91	NUM
alkej-908	263	9	.	.	PUNCT
alkej-908	264	1	https://doi.org/10.31026/j.eng.2022.05.05	https://doi.org/10.31026/j.eng.2022.05.05	NOUN
alkej-908	264	2	[	[	X
alkej-908	264	3	12	12	NUM
alkej-908	264	4	]	]	PUNCT
alkej-908	264	5	fayez	fayez	NOUN
alkej-908	264	6	,	,	PUNCT
alkej-908	264	7	t.	t.	PROPN
alkej-908	264	8	k.	k.	PROPN
alkej-908	264	9	;	;	PUNCT
alkej-908	264	10	wijdan	wijdan	PROPN
alkej-908	264	11	,	,	PUNCT
alkej-908	264	12	a.	a.	NOUN
alkej-908	264	13	;	;	PUNCT
alkej-908	264	14	zahra	zahra	PROPN
alkej-908	264	15	,	,	PUNCT
alkej-908	264	16	g.	g.	PROPN
alkej-908	264	17	random	random	PROPN
alkej-908	264	18	forest	forest	NOUN
alkej-908	264	19	machine	machine	NOUN
alkej-908	264	20	learning	learning	NOUN
alkej-908	264	21	technique	technique	NOUN
alkej-908	264	22	for	for	ADP
alkej-908	264	23	automatic	automatic	ADJ
alkej-908	264	24	vegetation	vegetation	NOUN
alkej-908	264	25	detection	detection	NOUN
alkej-908	264	26	and	and	CCONJ
alkej-908	264	27	modelling	modelling	NOUN
alkej-908	264	28	in	in	ADP
alkej-908	264	29	lidar	lidar	NOUN
alkej-908	264	30	data	datum	NOUN
alkej-908	264	31	.	.	PUNCT
alkej-908	265	1	int	int	PROPN
alkej-908	266	1	j	j	PROPN
alkej-908	266	2	environ	environ	PROPN
alkej-908	266	3	sci	sci	PROPN
alkej-908	266	4	nat	nat	PROPN
alkej-908	266	5	res	re	NOUN
alkej-908	266	6	.	.	PROPN
alkej-908	266	7	2021	2021	NUM
alkej-908	266	8	,	,	PUNCT
alkej-908	266	9	28	28	NUM
alkej-908	266	10	,	,	PUNCT
alkej-908	266	11	2	2	NUM
alkej-908	266	12	.	.	PUNCT
alkej-908	266	13	https://doi.org/10.19080/ijesnr.2021.28.55	https://doi.org/10.19080/ijesnr.2021.28.55	NOUN
alkej-908	266	14	6234	6234	NUM
alkej-908	266	15	https://doi.org/10.3390/s21041470	https://doi.org/10.3390/s21041470	PROPN
alkej-908	266	16	https://doi.org/10.1016/j.eswa.2023.119738	https://doi.org/10.1016/j.eswa.2023.119738	NOUN
alkej-908	266	17	https://doi.org/10.14445/22312803/ijctt-v71i3p108	https://doi.org/10.14445/22312803/ijctt-v71i3p108	AUX
alkej-908	266	18	https://doi.org/10.14445/22312803/ijctt-v71i3p108	https://doi.org/10.14445/22312803/ijctt-v71i3p108	X
alkej-908	266	19	https://doi.org/10.3390/app13031790	https://doi.org/10.3390/app13031790	NOUN
alkej-908	266	20	http://dx.doi.org/10.19080/ijesnr.2021.28.556234	http://dx.doi.org/10.19080/ijesnr.2021.28.556234	PROPN
alkej-908	266	21	http://dx.doi.org/10.19080/ijesnr.2021.28.556234	http://dx.doi.org/10.19080/ijesnr.2021.28.556234	PROPN
alkej-908	266	22	noor	noor	PROPN
alkej-908	266	23	a.	a.	PROPN
alkej-908	266	24	mohammed	mohammed	PROPN
alkej-908	266	25	al	al	PROPN
alkej-908	266	26	-	-	PUNCT
alkej-908	266	27	khwarizmi	khwarizmi	PROPN
alkej-908	266	28	engineering	engineering	NOUN
alkej-908	266	29	journal	journal	PROPN
alkej-908	266	30	,	,	PUNCT
alkej-908	266	31	vol	vol	NOUN
alkej-908	266	32	.	.	PROPN
alkej-908	266	33	20	20	NUM
alkej-908	266	34	,	,	PUNCT
alkej-908	266	35	no.2	no.2	PROPN
alkej-908	266	36	,	,	PUNCT
alkej-908	266	37	p.p	p.p	PROPN
alkej-908	266	38	.	.	NOUN
alkej-908	266	39	2638(2024	2638(2024	NUM
alkej-908	266	40	)	)	PUNCT
alkej-908	266	41	37	37	NUM
alkej-908	267	1	[	[	SYM
alkej-908	267	2	13	13	NUM
alkej-908	267	3	]	]	PUNCT
alkej-908	267	4	susmita	susmita	PROPN
alkej-908	267	5	r.	r.	PROPN
alkej-908	267	6	a	a	DET
alkej-908	267	7	quick	quick	ADJ
alkej-908	267	8	review	review	NOUN
alkej-908	267	9	of	of	ADP
alkej-908	267	10	machine	machine	NOUN
alkej-908	267	11	learning	learn	VERB
alkej-908	267	12	algorithms	algorithm	NOUN
alkej-908	267	13	.	.	PUNCT
alkej-908	268	1	international	international	ADJ
alkej-908	268	2	conference	conference	NOUN
alkej-908	268	3	on	on	ADP
alkej-908	268	4	machine	machine	NOUN
alkej-908	268	5	learning	learning	NOUN
alkej-908	268	6	,	,	PUNCT
alkej-908	268	7	big	big	ADJ
alkej-908	268	8	data	datum	NOUN
alkej-908	268	9	,	,	PUNCT
alkej-908	268	10	cloud	cloud	NOUN
alkej-908	268	11	and	and	CCONJ
alkej-908	268	12	parallel	parallel	ADJ
alkej-908	268	13	computing	computing	NOUN
alkej-908	268	14	(	(	PUNCT
alkej-908	268	15	comitcon	comitcon	NOUN
alkej-908	268	16	)	)	PUNCT
alkej-908	268	17	,	,	PUNCT
alkej-908	268	18	faridabad	faridabad	PROPN
alkej-908	268	19	,	,	PUNCT
alkej-908	268	20	india	india	PROPN
alkej-908	268	21	,	,	PUNCT
alkej-908	268	22	2019	2019	NUM
alkej-908	268	23	,	,	PUNCT
alkej-908	268	24	35	35	NUM
alkej-908	268	25	-	-	SYM
alkej-908	268	26	39	39	NUM
alkej-908	268	27	.	.	PUNCT
alkej-908	269	1	https://doi.org/10.1109/comitcon.2019.88	https://doi.org/10.1109/comitcon.2019.88	ADP
alkej-908	269	2	62451	62451	NUM
alkej-908	269	3	[	[	X
alkej-908	269	4	14	14	NUM
alkej-908	269	5	]	]	X
alkej-908	269	6	mohsin	mohsin	PROPN
alkej-908	269	7	,	,	PUNCT
alkej-908	269	8	m.a	m.a	PROPN
alkej-908	269	9	.	.	PROPN
alkej-908	269	10	;	;	PUNCT
alkej-908	270	1	hamad	hamad	PROPN
alkej-908	270	2	,	,	PUNCT
alkej-908	270	3	a.h	a.h	PROPN
alkej-908	270	4	.	.	PROPN
alkej-908	270	5	performance	performance	NOUN
alkej-908	270	6	evaluation	evaluation	NOUN
alkej-908	270	7	of	of	ADP
alkej-908	270	8	sdn	sdn	PROPN
alkej-908	270	9	ddos	ddo	NOUN
alkej-908	270	10	attack	attack	NOUN
alkej-908	270	11	detection	detection	NOUN
alkej-908	270	12	and	and	CCONJ
alkej-908	270	13	mitigation	mitigation	NOUN
alkej-908	270	14	based	base	VERB
alkej-908	270	15	random	random	ADJ
alkej-908	270	16	forest	forest	NOUN
alkej-908	270	17	and	and	CCONJ
alkej-908	270	18	k	k	NOUN
alkej-908	270	19	-	-	PUNCT
alkej-908	270	20	nearest	near	ADJ
alkej-908	270	21	neighbors	neighbor	NOUN
alkej-908	270	22	machine	machine	NOUN
alkej-908	270	23	learning	learn	VERB
alkej-908	270	24	algorithms	algorithm	NOUN
alkej-908	270	25	.	.	PUNCT
alkej-908	271	1	revue	revue	PROPN
alkej-908	271	2	d'intelligence	d'intelligence	PROPN
alkej-908	271	3	artificielle	artificielle	PROPN
alkej-908	271	4	2022	2022	NUM
alkej-908	271	5	,	,	PUNCT
alkej-908	271	6	36	36	NUM
alkej-908	271	7	,	,	PUNCT
alkej-908	271	8	2	2	NUM
alkej-908	271	9	,	,	PUNCT
alkej-908	271	10	233	233	NUM
alkej-908	271	11	-	-	SYM
alkej-908	271	12	240	240	NUM
alkej-908	271	13	.	.	PUNCT
alkej-908	272	1	https://doi.org/10.18280/ria.360207	https://doi.org/10.18280/ria.360207	NOUN
alkej-908	272	2	[	[	X
alkej-908	272	3	15	15	NUM
alkej-908	272	4	]	]	X
alkej-908	272	5	jian	jian	PROPN
alkej-908	272	6	,	,	PUNCT
alkej-908	272	7	f.	f.	PROPN
alkej-908	272	8	;	;	PUNCT
alkej-908	272	9	hongbin	hongbin	PROPN
alkej-908	272	10	,	,	PUNCT
alkej-908	272	11	w.	w.	PROPN
alkej-908	272	12	;	;	PUNCT
alkej-908	272	13	fan	fan	PROPN
alkej-908	272	14	y.	y.	PROPN
alkej-908	272	15	;	;	PUNCT
alkej-908	272	16	kuang	kuang	PROPN
alkej-908	272	17	,	,	PUNCT
alkej-908	272	18	y.	y.	PROPN
alkej-908	272	19	;	;	PUNCT
alkej-908	272	20	xiang	xiang	PROPN
alkej-908	272	21	,	,	PUNCT
alkej-908	272	22	l.	l.	PROPN
alkej-908	272	23	;	;	PUNCT
alkej-908	272	24	min	min	PROPN
alkej-908	272	25	,	,	PUNCT
alkej-908	272	26	z.	z.	PROPN
alkej-908	272	27	a	a	DET
alkej-908	272	28	failure	failure	NOUN
alkej-908	272	29	prediction	prediction	NOUN
alkej-908	272	30	method	method	NOUN
alkej-908	272	31	of	of	ADP
alkej-908	272	32	power	power	NOUN
alkej-908	272	33	distribution	distribution	NOUN
alkej-908	272	34	network	network	NOUN
alkej-908	272	35	based	base	VERB
alkej-908	272	36	on	on	ADP
alkej-908	272	37	pso	pso	NOUN
alkej-908	272	38	and	and	CCONJ
alkej-908	272	39	xgboost	xgboost	NOUN
alkej-908	272	40	.	.	PUNCT
alkej-908	273	1	australian	australian	ADJ
alkej-908	273	2	journal	journal	NOUN
alkej-908	273	3	of	of	ADP
alkej-908	273	4	electrical	electrical	ADJ
alkej-908	273	5	and	and	CCONJ
alkej-908	273	6	electronics	electronic	NOUN
alkej-908	273	7	engineering	engineering	NOUN
alkej-908	273	8	2022	2022	NUM
alkej-908	273	9	,	,	PUNCT
alkej-908	273	10	19	19	NUM
alkej-908	273	11	,	,	PUNCT
alkej-908	273	12	4	4	NUM
alkej-908	273	13	,	,	PUNCT
alkej-908	273	14	371378	371378	NUM
alkej-908	273	15	.	.	PUNCT
alkej-908	274	1	https://doi.org/10.1080/1448837x.2022.2072	https://doi.org/10.1080/1448837x.2022.2072	ADP
alkej-908	274	2	447	447	NUM
alkej-908	274	3	[	[	X
alkej-908	274	4	16	16	NUM
alkej-908	274	5	]	]	PUNCT
alkej-908	274	6	mohammed	mohammed	PROPN
alkej-908	274	7	,	,	PUNCT
alkej-908	274	8	n.a	n.a	PROPN
alkej-908	274	9	.	.	PROPN
alkej-908	274	10	;	;	PUNCT
alkej-908	274	11	abdulateef	abdulateef	PROPN
alkej-908	274	12	,	,	PUNCT
alkej-908	274	13	o.f	o.f	PROPN
alkej-908	274	14	.	.	PROPN
alkej-908	274	15	;	;	PUNCT
alkej-908	275	1	hamad	hamad	PROPN
alkej-908	275	2	,	,	PUNCT
alkej-908	275	3	a.h	a.h	PROPN
alkej-908	275	4	.	.	PROPN
alkej-908	275	5	an	an	DET
alkej-908	275	6	iot	iot	NOUN
alkej-908	275	7	and	and	CCONJ
alkej-908	275	8	machine	machine	NOUN
alkej-908	275	9	learning	learning	NOUN
alkej-908	275	10	-	-	PUNCT
alkej-908	275	11	based	base	VERB
alkej-908	275	12	predictive	predictive	ADJ
alkej-908	275	13	maintenance	maintenance	NOUN
alkej-908	275	14	system	system	NOUN
alkej-908	275	15	for	for	ADP
alkej-908	275	16	electrical	electrical	ADJ
alkej-908	275	17	motors	motor	NOUN
alkej-908	275	18	.	.	PUNCT
alkej-908	276	1	journal	journal	PROPN
alkej-908	276	2	européen	européen	PROPN
alkej-908	276	3	des	des	PROPN
alkej-908	276	4	systèmes	systèmes	PROPN
alkej-908	276	5	automatisés	automatisés	PROPN
alkej-908	276	6	2023	2023	NUM
alkej-908	276	7	,	,	PUNCT
alkej-908	276	8	56	56	NUM
alkej-908	276	9	,	,	PUNCT
alkej-908	276	10	4	4	NUM
alkej-908	276	11	,	,	PUNCT
alkej-908	276	12	651	651	NUM
alkej-908	276	13	-	-	SYM
alkej-908	276	14	656	656	NUM
alkej-908	276	15	.	.	PUNCT
alkej-908	277	1	https://doi.org/10.18280/jesa.560414	https://doi.org/10.18280/jesa.560414	NOUN
alkej-908	278	1	[	[	X
alkej-908	278	2	17	17	NUM
alkej-908	278	3	]	]	X
alkej-908	278	4	jérôme	jérôme	PROPN
alkej-908	278	5	,	,	PUNCT
alkej-908	278	6	d.	d.	PROPN
alkej-908	278	7	;	;	PUNCT
alkej-908	278	8	gaël	gaël	PROPN
alkej-908	278	9	,	,	PUNCT
alkej-908	278	10	v.	v.	PROPN
alkej-908	278	11	;	;	PUNCT
alkej-908	278	12	jean	jean	NOUN
alkej-908	278	13	-	-	PUNCT
alkej-908	278	14	baptiste	baptiste	NOUN
alkej-908	278	15	,	,	PUNCT
alkej-908	278	16	p.	p.	NOUN
alkej-908	278	17	;	;	PUNCT
alkej-908	278	18	preventing	prevent	VERB
alkej-908	278	19	dataset	dataset	NOUN
alkej-908	278	20	shift	shift	NOUN
alkej-908	278	21	from	from	ADP
alkej-908	278	22	breaking	break	VERB
alkej-908	278	23	machine	machine	NOUN
alkej-908	278	24	-	-	PUNCT
alkej-908	278	25	learning	learn	VERB
alkej-908	278	26	biomarkers	biomarker	NOUN
alkej-908	278	27	.	.	PUNCT
alkej-908	279	1	gigascience	gigascience	NOUN
alkej-908	279	2	2021	2021	NUM
alkej-908	279	3	,	,	PUNCT
alkej-908	279	4	10	10	NUM
alkej-908	279	5	,	,	PUNCT
alkej-908	279	6	9	9	NUM
alkej-908	279	7	.	.	PUNCT
alkej-908	279	8	https://doi.org/10.1093/gigascience/giab055	https://doi.org/10.1093/gigascience/giab055	NOUN
alkej-908	279	9	https://doi.org/10.1093/gigascience/giab055	https://doi.org/10.1093/gigascience/giab055	NOUN
alkej-908	279	10	(	(	PUNCT
alkej-908	279	11	2024	2024	NUM
alkej-908	279	12	)	)	PUNCT
alkej-908	279	13	26	26	NUM
alkej-908	279	14	-	-	SYM
alkej-908	279	15	38	38	NUM
alkej-908	279	16	،	،	NOUN
alkej-908	279	17	صفحة	صفحة	PROPN
alkej-908	279	18	2	2	PROPN
alkej-908	279	19	،	،	X
alkej-908	279	20	العدد20مجلة	العدد20مجلة	PROPN
alkej-908	279	21	الخوارزمي	الخوارزمي	VERB
alkej-908	279	22	الهندسية	الهندسية	PROPN
alkej-908	279	23	المجلد	المجلد	VERB
alkej-908	279	24	محمد	محمد	PROPN
alkej-908	279	25	نور	نور	PROPN
alkej-908	279	26	علي	علي	NOUN
alkej-908	279	27	38	38	NUM
alkej-908	279	28	تحليل	تحليل	NOUN
alkej-908	279	29	أداء	أداء	PROPN
alkej-908	279	30	خوارزميات	خوارزميات	PROPN
alkej-908	279	31	التعلم	التعلم	PROPN
alkej-908	279	32	اآللي	اآللي	PROPN
alkej-908	279	33	المختلفة	المختلفة	PROPN
alkej-908	279	34	للصيانة	للصيانة	PROPN
alkej-908	279	35	التنبؤية	التنبؤية	PROPN
alkej-908	279	36	*	*	PUNCT
alkej-908	279	37	*	*	PUNCT
alkej-908	279	38	*	*	PUNCT
alkej-908	279	39	*	*	PUNCT
alkej-908	279	40	عدي	عدي	ADJ
alkej-908	279	41	إبراهيم	إبراهيم	NOUN
alkej-908	279	42	عبد	عبد	VERB
alkej-908	279	43	هللا	هللا	NOUN
alkej-908	279	44	،	،	NOUN
alkej-908	279	45	*	*	X
alkej-908	279	46	*	*	PUNCT
alkej-908	279	47	*	*	NOUN
alkej-908	279	48	علي	علي	NOUN
alkej-908	279	49	حسين	حسين	PROPN
alkej-908	279	50	حمد	حمد	PROPN
alkej-908	279	51	،	،	PROPN
alkej-908	280	1	*	*	PUNCT
alkej-908	280	2	*	*	PUNCT
alkej-908	280	3	سامة	سامة	ADJ
alkej-908	280	4	فاضل	فاضل	NOUN
alkej-908	280	5	عبد	عبد	PROPN
alkej-908	280	6	اللطيفأ	اللطيفأ	PROPN
alkej-908	280	7	،	،	PROPN
alkej-908	280	8	*	*	PROPN
alkej-908	280	9	محمد	محمد	PROPN
alkej-908	280	10	نور	نور	PROPN
alkej-908	280	11	علي	علي	PROPN
alkej-908	280	12	العراق	العراق	PROPN
alkej-908	280	13	،	،	PROPN
alkej-908	280	14	بغداد	بغداد	PROPN
alkej-908	280	15	،	،	PROPN
alkej-908	281	1	جامعة	جامعة	PROPN
alkej-908	281	2	بغداد	بغداد	PROPN
alkej-908	281	3	،	،	PROPN
alkej-908	281	4	كلية	كلية	PROPN
alkej-908	281	5	الهندسة	الهندسة	PROPN
alkej-908	281	6	الخوارزمي	الخوارزمي	VERB
alkej-908	281	7	،	،	PROPN
alkej-908	281	8	قسم	قسم	PROPN
alkej-908	281	9	هندسة	هندسة	PROPN
alkej-908	281	10	التصنيع	التصنيع	PROPN
alkej-908	281	11	المؤتمت	المؤتمت	PROPN
alkej-908	281	12	*	*	X
alkej-908	281	13	،	،	X
alkej-908	281	14	*	*	ADJ
alkej-908	281	15	*	*	ADJ
alkej-908	281	16	العراق	العراق	ADJ
alkej-908	281	17	،	،	X
alkej-908	281	18	بغداد	بغداد	PROPN
alkej-908	281	19	،	،	PROPN
alkej-908	281	20	جامعة	جامعة	PROPN
alkej-908	281	21	بغداد	بغداد	PROPN
alkej-908	281	22	،	،	PROPN
alkej-908	281	23	كلية	كلية	PROPN
alkej-908	281	24	الهندسة	الهندسة	PROPN
alkej-908	281	25	الخوارزمي	الخوارزمي	VERB
alkej-908	282	1	،	،	PROPN
alkej-908	282	2	المعلومات	المعلومات	VERB
alkej-908	282	3	واألتصاالت	واألتصاالت	NOUN
alkej-908	282	4	قسم	قسم	INTJ
alkej-908	282	5	هندسة	هندسة	NOUN
alkej-908	282	6	*	*	PUNCT
alkej-908	283	1	*	*	PUNCT
alkej-908	283	2	*	*	PUNCT
alkej-908	283	3	ألمانيا	ألمانيا	X
alkej-908	283	4	،	،	X
alkej-908	283	5	21079هامبورغ	21079هامبورغ	X
alkej-908	283	6	،	،	X
alkej-908	283	7	ي	ي	X
alkej-908	283	8	جامعة	جامعة	NOUN
alkej-908	283	9	هامبورغ	هامبورغ	NOUN
alkej-908	283	10	للتكنولوج	للتكنولوج	ADJ
alkej-908	283	11	،	،	PROPN
alkej-908	283	12	تقنيات	تقنيات	PROPN
alkej-908	283	13	النظام	النظام	PROPN
alkej-908	283	14	ومنهجية	ومنهجية	VERB
alkej-908	283	15	التصميم	التصميم	ADV
alkej-908	283	16	الهندسي	الهندسي	NOUN
alkej-908	283	17	*	*	PUNCT
alkej-908	283	18	*	*	PUNCT
alkej-908	283	19	*	*	PUNCT
alkej-908	283	20	*	*	PUNCT
alkej-908	283	21	*	*	PUNCT
alkej-908	283	22	noor.ali2204@kecbu.uobaghdad.edu.iq	noor.ali2204@kecbu.uobaghdad.edu.iq	NOUN
alkej-908	283	23	:	:	PUNCT
alkej-908	283	24	البريد	البريد	VERB
alkej-908	283	25	اإللكتروني	اإللكتروني	NOUN
alkej-908	283	26	*	*	PUNCT
alkej-908	283	27	drosamah@kecbu.uobaghdad.edu.iq	drosamah@kecbu.uobaghdad.edu.iq	NOUN
alkej-908	283	28	:	:	PUNCT
alkej-908	283	29	البريد	البريد	VERB
alkej-908	283	30	اإللكتروني	اإللكتروني	NOUN
alkej-908	283	31	*	*	NOUN
alkej-908	283	32	*	*	PUNCT
alkej-908	283	33	ahamad@kecbu.uobaghdad.edu.iq	ahamad@kecbu.uobaghdad.edu.iq	ADJ
alkej-908	283	34	:	:	PUNCT
alkej-908	283	35	البريد	البريد	VERB
alkej-908	283	36	اإللكتروني	اإللكتروني	NOUN
alkej-908	283	37	*	*	PUNCT
alkej-908	283	38	*	*	PUNCT
alkej-908	283	39	*	*	NOUN
alkej-908	283	40	oday.abdullah@tuhh.de	oday.abdullah@tuhh.de	ADJ
alkej-908	283	41	:	:	PUNCT
alkej-908	283	42	البريد	البريد	VERB
alkej-908	283	43	اإللكتروني	اإللكتروني	NOUN
alkej-908	283	44	*	*	PUNCT
alkej-908	283	45	*	*	PUNCT
alkej-908	283	46	*	*	PUNCT
alkej-908	283	47	*	*	PUNCT
alkej-908	283	48	المستخلص	المستخلص	PROPN
alkej-908	283	49	يركز	يركز	NOUN
alkej-908	283	50	البحث	البحث	NOUN
alkej-908	283	51	وتردد	وتردد	PROPN
alkej-908	283	52	.	.	PUNCT
alkej-908	284	1	يقدم	يقدم	ADJ
alkej-908	284	2	هذا	هذا	NOUN
alkej-908	284	3	العمل	العمل	VERB
alkej-908	284	4	دراسة	دراسة	PROPN
alkej-908	284	5	شاملة	شاملة	NOUN
alkej-908	284	6	عن	عن	X
alkej-908	284	7	تقييم	تقييم	ADV
alkej-908	284	8	أداء	أداء	PROPN
alkej-908	284	9	خوارزميات	خوارزميات	PROPN
alkej-908	284	10	التعلم	التعلم	PROPN
alkej-908	284	11	اآللي	اآللي	PROPN
alkej-908	284	12	المختلفة	المختلفة	PROPN
alkej-908	284	13	للصيانة	للصيانة	PROPN
alkej-908	284	14	التنبؤية	التنبؤية	PROPN
alkej-908	284	15	في	في	ADP
alkej-908	284	16	سياق	سياق	PROPN
alkej-908	284	17	مراقبة	مراقبة	PROPN
alkej-908	284	18	حالة	حالة	PROPN
alkej-908	284	19	محرك	محرك	PROPN
alkej-908	284	20	التيار	التيار	PROPN
alkej-908	284	21	الم	الم	VERB
alkej-908	284	22	يتم	يتم	PROPN
alkej-908	284	23	وكل	وكل	PROPN
alkej-908	284	24	من	من	DET
alkej-908	284	25	حدوث	حدوث	PROPN
alkej-908	284	26	األعطال	األعطال	PROPN
alkej-908	284	27	ونوع	ونوع	NOUN
alkej-908	284	28	الفشل	الفشل	NOUN
alkej-908	285	1	المحدد	المحدد	NOUN
alkej-908	285	2	في	في	DET
alkej-908	285	3	محركات	محركات	ADJ
alkej-908	285	4	التيار	التيار	NOUN
alkej-908	285	5	المتردد	المتردد	NOUN
alkej-908	285	6	.	.	PUNCT
alkej-908	286	1	في	في	PRON
alkej-908	286	2	على	على	PROPN
alkej-908	286	3	سيناريوهات	سيناريوهات	PROPN
alkej-908	286	4	واقعية	واقعية	PROPN
alkej-908	286	5	لتقييم	لتقييم	VERB
alkej-908	286	6	قدرات	قدرات	PROPN
alkej-908	286	7	الخوارزميات	الخوارزميات	PROPN
alkej-908	286	8	المختلفة	المختلفة	PROPN
alkej-908	286	9	في	في	ADP
alkej-908	286	10	التنبؤ	التنبؤ	NOUN
alkej-908	287	1	k	k	X
alkej-908	287	2	-	-	PUNCT
alkej-908	287	3	nearest	near	ADJ
alkej-908	287	4	neighbors	neighbor	NOUN
alkej-908	287	5	(	(	PUNCT
alkej-908	287	6	،	،	PROPN
alkej-908	287	7	وsvc	وsvc	NOUN
alkej-908	287	8	)	)	PUNCT
alkej-908	287	9	support	support	NOUN
alkej-908	287	10	vector	vector	NOUN
alkej-908	287	11	classifier	classifier	NOUN
alkej-908	287	12	(	(	PUNCT
alkej-908	287	13	،	،	PROPN
alkej-908	287	14	وrfc	وrfc	PROPN
alkej-908	287	15	)	)	PUNCT
alkej-908	287	16	random	random	ADJ
alkej-908	287	17	forestاستخدام	forestاستخدام	PROPN
alkej-908	287	18	خمس	خمس	PROPN
alkej-908	287	19	خوارزميات	خوارزميات	PROPN
alkej-908	287	20	بارزة	بارزة	PROPN
alkej-908	287	21	للتعلم	للتعلم	PROPN
alkej-908	287	22	اآللي	اآللي	PROPN
alkej-908	287	23	،	،	PROPN
alkej-908	288	1	وهي	وهي	PROPN
alkej-908	288	2	(	(	PUNCT
alkej-908	288	3	knn	knn	PROPN
alkej-908	288	4	(	(	PUNCT
alkej-908	288	5	واالنحدار	واالنحدار	PROPN
alkej-908	288	6	اللوجستي	اللوجستي	PROPN
alkej-908	288	7	،	،	NOUN
alkej-908	288	8	)	)	PUNCT
alkej-908	288	9	lrو	lrو	X
alkej-908	288	10	،	،	NOUN
alkej-908	288	11	)	)	PUNCT
alkej-908	288	12	gboost	gboost	NOUN
alkej-908	288	13	(	(	PUNCT
alkej-908	288	14	xgb	xgb	NOUN
alkej-908	288	15	في	في	VERB
alkej-908	288	16	هذا	هذا	PROPN
alkej-908	288	17	العمل	العمل	PROPN
alkej-908	288	18	.	.	PUNCT
alkej-908	289	1	يتضمن	يتضمن	PROPN
alkej-908	289	2	،	،	X
alkej-908	289	3	)	)	PUNCT
alkej-908	290	1	التقييم	التقييم	ADV
alkej-908	290	2	تحليًلا	تحليًلا	PROPN
alkej-908	290	3	مقارناا	مقارناا	PROPN
alkej-908	290	4	لهذه	لهذه	PROPN
alkej-908	290	5	الخوارزميات	الخوارزميات	PROPN
alkej-908	290	6	بناءا	بناءا	ADJ
alkej-908	290	7	على	على	NOUN
alkej-908	290	8	دقتها	دقتها	NOUN
alkej-908	290	9	التنبؤية	التنبؤية	PROPN
alkej-908	290	10	،	،	PROPN
alkej-908	290	11	مع	مع	PROPN
alkej-908	291	1	يتم	يتم	PROPN
alkej-908	291	2	تطبيق	تطبيق	PROPN
alkej-908	291	3	تقنيات	تقنيات	PROPN
alkej-908	291	4	معالجة	معالجة	PROPN
alkej-908	291	5	مسبقة	مسبقة	PROPN
alkej-908	291	6	صارمة	صارمة	PROPN
alkej-908	291	7	للبيانات	للبيانات	PROPN
alkej-908	291	8	لضمان	لضمان	NOUN
alkej-908	291	9	صحة	صحة	PROPN
alkej-908	291	10	افتراضات	افتراضات	PROPN
alkej-908	291	11	النموذج	النموذج	PROPN
alkej-908	291	12	وتحسين	وتحسين	PROPN
alkej-908	291	13	األداء	األداء	PROPN
alkej-908	291	14	.	.	PUNCT
alkej-908	292	1	ومجموعات	ومجموعات	PROPN
alkej-908	292	2	تدريب	تدريب	ADJ
alkej-908	292	3	بأحجام	بأحجام	PROPN
alkej-908	292	4	مختلفة	مختلفة	VERB
alkej-908	292	5	.	.	PUNCT
alkej-908	293	1	قبل	قبل	PROPN
alkej-908	293	2	تطوير	تطوير	PROPN
alkej-908	293	3	النموذج	النموذج	PROPN
alkej-908	293	4	،	،	PROPN
alkej-908	294	1	ة	ة	ADP
alkej-908	294	2	،	،	PROPN
alkej-908	294	3	وترميز	وترميز	PROPN
alkej-908	294	4	األعمدة	األعمدة	VERB
alkej-908	294	5	الفئوية	الفئوية	NOUN
alkej-908	294	6	باستخدام	باستخدام	PROPN
alkej-908	294	7	ترميز	ترميز	PROPN
alkej-908	294	8	الملصقات	الملصقات	PROPN
alkej-908	294	9	،	،	PROPN
alkej-908	294	10	وقياس	وقياس	PROPN
alkej-908	294	11	األعمدة	األعمدة	PROPN
alkej-908	294	12	.	.	PUNCT
alkej-908	295	1	ومن	ومن	PROPN
alkej-908	295	2	المثير	المثير	PROPN
alkej-908	295	3	لًلهتمام	لًلهتمام	PROPN
alkej-908	295	4	،	،	X
alkej-908	295	5	إعادة	إعادة	PROPN
alkej-908	295	6	تتضمن	تتضمن	PROPN
alkej-908	295	7	مرحلة	مرحلة	PROPN
alkej-908	295	8	المعالجة	المعالجة	PROPN
alkej-908	295	9	المسبقة	المسبقة	PROPN
alkej-908	295	10	إزالة	إزالة	NOUN
alkej-908	295	11	العينات	العينات	PROPN
alkej-908	295	12	الغامضو	الغامضو	PROPN
alkej-908	295	13	لوحظ	لوحظ	PROPN
alkej-908	295	14	وم	وم	PROPN
alkej-908	295	15	التصنيف	التصنيف	PROPN
alkej-908	295	16	.	.	PUNCT
alkej-908	296	1	النظر	النظر	PROPN
alkej-908	297	1	في	في	DET
alkej-908	297	2	تحديد	تحديد	PROPN
alkej-908	298	1	نقاط	نقاط	PROPN
alkej-908	298	2	البيانات	البيانات	PROPN
alkej-908	298	3	التي	التي	PROPN
alkej-908	298	4	تبدو	تبدو	PROPN
alkej-908	298	5	غريبة	غريبة	VERB
alkej-908	298	6	،	،	PROPN
alkej-908	299	1	مما	مما	DET
alkej-908	299	2	يكشف	يكشف	PROPN
alkej-908	299	3	عن	عن	PROPN
alkej-908	299	4	دورها	دورها	PROPN
alkej-908	299	5	األساسي	األساسي	VERB
alkej-908	299	6	في	في	ADP
alkej-908	299	7	التقاط	التقاط	PROPN
alkej-908	299	8	التباين	التباين	PROPN
alkej-908	299	9	الطبيعي	الطبيعي	PROPN
alkej-908	299	10	لمجموعة	لمجموعة	ADJ
alkej-908	299	11	البيانات	البيانات	PROPN
alkej-908	299	12	وتعزيز	وتعزيز	PROPN
alkej-908	299	13	مها	مها	PROPN
alkej-908	299	14	يوضح	يوضح	PROPN
alkej-908	299	15	العمل	العمل	PROPN
alkej-908	300	1	أنه	أنه	PROPN
alkej-908	301	1	بالنسبة	بالنسبة	NOUN
alkej-908	301	2	للتنبؤ	للتنبؤ	PROPN
alkej-908	301	3	بفشل	بفشل	PROPN
alkej-908	301	4	اآللة	اآللة	NOUN
alkej-908	301	5	وتحديد	وتحديد	ADP
alkej-908	301	6	أنواع	أنواع	PROPN
alkej-908	301	7	الفشل	الفشل	PROPN
alkej-908	301	8	،	،	NOUN
alkej-908	301	9	فإن	فإن	PUNCT
alkej-908	302	1	الخوارزميات	الخوارزميات	NOUN
alkej-908	302	2	تظهر	تظهر	INTJ
alkej-908	302	3	وة	وة	SCONJ
alkej-908	302	4	هي	هي	PROPN
alkej-908	302	5	مساهمات	مساهمات	PROPN
alkej-908	302	6	محورية	محورية	PROPN
alkej-908	302	7	في	في	ADP
alkej-908	302	8	النماذج	النماذج	PROPN
alkej-908	302	9	التنبؤية	التنبؤية	PROPN
alkej-908	302	10	.	.	PUNCT
alkej-908	303	1	أن	أن	ADP
alkej-908	303	2	هذه	هذه	PROPN
alkej-908	303	3	الميزات	الميزات	PROPN
alkej-908	303	4	المحدد	المحدد	PROPN
alkej-908	303	5	ا	ا	PROPN
alkej-908	303	6	.	.	PUNCT
alkej-908	303	7	النموذج	النموذج	PROPN
alkej-908	303	8	األفضل	األفضل	PROPN
alkej-908	303	9	أداءا	أداءا	PROPN
alkej-908	303	10	وصفها	وصفها	NOUN
alkej-908	303	11	(	(	PUNCT
alkej-908	303	12	باستمرار	باستمرار	PROPN
alkej-908	303	13	بknn	بknn	NOUN
alkej-908	303	14	)	)	PUNCT
alkej-908	303	15	k	k	NOUN
alkej-908	303	16	-	-	PUNCT
alkej-908	303	17	nearest	near	ADJ
alkej-908	303	18	neighborsتبرز	neighborsتبرز	ADJ
alkej-908	303	19	خوارزمية	خوارزمية	ADJ
alkej-908	303	20	أذيكمن	أذيكمن	NOUN
alkej-908	303	21	االختًلف	االختًلف	VERB
alkej-908	303	22	األساسي	األساسي	VERB
alkej-908	303	23	في	في	DET
alkej-908	303	24	وقت	وقت	PROPN
alkej-908	303	25	التدريب	التدريب	PROPN
alkej-908	303	26	،	،	PROPN
alkej-908	303	27	وأداءا	وأداءا	PROPN
alkej-908	303	28	مشابها	مشابها	PROPN
alkej-908	303	29	ثانية	ثانية	PROPN
alkej-908	303	30	(	(	PUNCT
alkej-908	303	31	.	.	PUNCT
alkej-908	304	1	(	(	PUNCT
alkej-908	304	2	في	في	ADP
alkej-908	304	3	مهام	مهام	NOUN
alkej-908	304	4	التنبؤ	التنبؤ	NOUN
alkej-908	304	5	بالفشل	بالفشل	NOUN
alkej-908	304	6	الثنائي	الثنائي	X
alkej-908	304	7	،	،	PROPN
alkej-908	304	8	151تدريب	151تدريب	PROPN
alkej-908	304	9	)	)	PUNCT
alkej-908	304	10	لل	لل	PROPN
alkej-908	304	11	(	(	PUNCT
alkej-908	304	12	أسوأ	أسوأ	PROPN
alkej-908	304	13	وقت	وقت	PROPN
alkej-908	304	14	rfc	rfc	PROPN
alkej-908	304	15	)	)	PUNCT
alkej-908	304	16	random	random	ADJ
alkej-908	304	17	forestثواٍن	forestثواٍن	PROPN
alkej-908	304	18	(	(	PUNCT
alkej-908	304	19	على	على	PROPN
alkej-908	304	20	التوالي	التوالي	NOUN
alkej-908	304	21	،	،	X
alkej-908	304	22	بينما	بينما	PROPN
alkej-908	304	23	تؤدي	تؤدي	VERB
alkej-908	304	24	3ثواٍن	3ثواٍن	NUM
alkej-908	305	1	و	و	NUM
alkej-908	305	2	4لكًل	4لكًل	NUM
alkej-908	305	3	المهمتين	المهمتين	NOUN
alkej-908	305	4	)	)	PUNCT
alkej-908	305	5	تام	تام	ADP
alkej-908	305	6	،	،	PROPN
alkej-908	305	7	تؤكد	تؤكد	PROPN
alkej-908	305	8	هذه	هذه	PROPN
alkej-908	305	9	الورقة	الورقة	PROPN
alkej-908	305	10	أهمية	أهمية	PROPN
alkej-908	305	11	ثانية	ثانية	PROPN
alkej-908	305	12	(	(	PUNCT
alkej-908	305	13	،	،	PROPN
alkej-908	305	14	والتي	والتي	PROPN
alkej-908	305	15	تعزى	تعزى	PROPN
alkej-908	305	16	إلى	إلى	PROPN
alkej-908	305	17	أوقات	أوقات	NOUN
alkej-908	305	18	االستجابة	االستجابة	PROPN
alkej-908	305	19	الخاصة	الخاصة	VERB
alkej-908	305	20	بها	بها	PROPN
alkej-908	305	21	.	.	PUNCT
alkej-908	306	1	في	في	PRON
alkej-908	306	2	الخ	الخ	NOUN
alkej-908	306	3	276	276	NUM
alkej-908	306	4	(	(	PUNCT
alkej-908	306	5	في	في	ADP
alkej-908	306	6	مهام	مهام	NOUN
alkej-908	306	7	التنبؤ	التنبؤ	NOUN
alkej-908	306	8	بالفشل	بالفشل	NOUN
alkej-908	306	9	متعددة	متعددة	VERB
alkej-908	306	10	الفئات	الفئات	PROPN
alkej-908	306	11	)	)	PUNCT
alkej-908	306	12	xgb	xgb	X
alkej-908	306	13	)	)	PUNCT
alkej-908	307	1	xgboostو	xgboostو	PROPN
alkej-908	308	1	ترميتوفر	ترميتوفر	PROPN
alkej-908	308	2	النتائج	النتائج	PROPN
alkej-908	308	3	رؤى	رؤى	PROPN
alkej-908	308	4	قيمة	قيمة	PROPN
alkej-908	308	5	للشركات	للشركات	PROPN
alkej-908	308	6	التي	التي	PROPN
alkej-908	308	7	واختيار	واختيار	PROPN
alkej-908	308	8	نماذج	نماذج	VERB
alkej-908	308	9	التعلم	التعلم	PROPN
alkej-908	308	10	اآللي	اآللي	PROPN
alkej-908	308	11	المناسبة	المناسبة	NOUN
alkej-908	308	12	للصيانة	للصيانة	PROPN
alkej-908	308	13	التنبؤية	التنبؤية	PROPN
alkej-908	308	14	،	،	PROPN
alkej-908	308	15	مع	مع	PROPN
alkej-908	308	16	األخذ	األخذ	NOUN
alkej-908	308	17	في	في	SCONJ
alkej-908	308	18	االعتبار	االعتبار	ADJ
alkej-908	308	19	المفاضلة	المفاضلة	NOUN
alkej-908	308	20	بين	بين	AUX
alkej-908	308	21	الدقة	الدقة	NOUN
alkej-908	308	22	ووقت	ووقت	NOUN
alkej-908	308	23	التدريب	التدريب	PROPN
alkej-908	308	24	.	.	PUNCT
alkej-908	309	1	ل	ل	DET
alkej-908	309	2	للتطبيق	للتطبيق	NOUN
alkej-908	309	3	السريع.كخيار	السريع.كخيار	NUM
alkej-908	309	4	مثا	مثا	NOUN
alkej-908	309	5	knnة	knnة	PROPN
alkej-908	309	6	والفعالية	والفعالية	PROPN
alkej-908	309	7	،	،	PROPN
alkej-908	309	8	مع	مع	PROPN
alkej-908	309	9	ظهور	ظهور	PROPN
alkej-908	309	10	يإلى	يإلى	PROPN
alkej-908	309	11	تنفيذ	تنفيذ	PROPN
alkej-908	309	12	استراتيجيات	استراتيجيات	PROPN
alkej-908	309	13	صيانة	صيانة	ADJ
alkej-908	309	14	تنبؤية	تنبؤية	NOUN
alkej-908	309	15	تتسم	تتسم	PROPN
alkej-908	309	16	بالكفا	بالكفا	VERB
alkej-908	309	17	mailto:drosamah@kecbu.uobaghdad.edu.iq	mailto:drosamah@kecbu.uobaghdad.edu.iq	ADJ
alkej-908	309	18	mailto:ahamad@kecbu.uobaghdad.edu.iq	mailto:ahamad@kecbu.uobaghdad.edu.iq	PROPN
alkej-908	309	19	mailto:oday.abdullah@tuhh.de	mailto:oday.abdullah@tuhh.de	PROPN