id	sid	tid	token	lemma	pos
ijassa-806	1	1	microsoft	microsoft	PROPN
ijassa-806	1	2	word	word	PROPN
ijassa-806	1	3	806	806	NUM
ijassa-806	1	4	-	-	PUNCT
ijassa-806	1	5	source	source	NOUN
ijassa-806	1	6	texts-5863	texts-5863	NOUN
ijassa-806	1	7	-	-	PUNCT
ijassa-806	1	8	1	1	NUM
ijassa-806	1	9	-	-	PUNCT
ijassa-806	1	10	11	11	NUM
ijassa-806	1	11	-	-	PUNCT
ijassa-806	1	12	20230417	20230417	NUM
ijassa-806	1	13	adv	adv	PROPN
ijassa-806	1	14	syst	syst	PROPN
ijassa-806	1	15	sci	sci	PROPN
ijassa-806	1	16	appl	appl	PROPN
ijassa-806	1	17	2023	2023	NUM
ijassa-806	1	18	;	;	PUNCT
ijassa-806	1	19	01	01	NUM
ijassa-806	1	20	;	;	PUNCT
ijassa-806	1	21	115	115	NUM
ijassa-806	1	22	-	-	SYM
ijassa-806	1	23	128	128	NUM
ijassa-806	1	24	published	publish	VERB
ijassa-806	1	25	online	online	ADV
ijassa-806	1	26	at	at	ADP
ijassa-806	1	27	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADV
ijassa-806	1	28	.	.	PUNCT
ijassa-806	2	1	learning	learn	VERB
ijassa-806	2	2	methods	method	NOUN
ijassa-806	2	3	for	for	ADP
ijassa-806	2	4	distributed	distributed	ADJ
ijassa-806	2	5	diagnosis	diagnosis	NOUN
ijassa-806	2	6	:	:	PUNCT
ijassa-806	2	7	a	a	DET
ijassa-806	2	8	failure	failure	NOUN
ijassa-806	2	9	classification	classification	NOUN
ijassa-806	2	10	methodology	methodology	NOUN
ijassa-806	2	11	in	in	ADP
ijassa-806	2	12	discrete	discrete	ADJ
ijassa-806	2	13	event	event	NOUN
ijassa-806	2	14	systems	system	NOUN
ijassa-806	2	15	hanane	hanane	PROPN
ijassa-806	2	16	serradj1	serradj1	PROPN
ijassa-806	2	17	,	,	PUNCT
ijassa-806	2	18	myriam	myriam	PROPN
ijassa-806	2	19	noureddine1	noureddine1	PROPN
ijassa-806	2	20	*	*	PROPN
ijassa-806	2	21	*	*	PROPN
ijassa-806	2	22	1	1	NUM
ijassa-806	2	23	)	)	PUNCT
ijassa-806	2	24	department	department	NOUN
ijassa-806	2	25	of	of	ADP
ijassa-806	2	26	computer	computer	NOUN
ijassa-806	2	27	science	science	NOUN
ijassa-806	2	28	,	,	PUNCT
ijassa-806	2	29	université	université	PROPN
ijassa-806	2	30	des	des	PROPN
ijassa-806	2	31	sciences	sciences	PROPN
ijassa-806	2	32	et	et	PROPN
ijassa-806	2	33	de	de	X
ijassa-806	2	34	la	la	X
ijassa-806	2	35	technologie	technologie	PROPN
ijassa-806	2	36	(	(	PUNCT
ijassa-806	2	37	usto	usto	PROPN
ijassa-806	2	38	)	)	PUNCT
ijassa-806	2	39	,	,	PUNCT
ijassa-806	2	40	mohamed	mohamed	PROPN
ijassa-806	2	41	boudiaf	boudiaf	PROPN
ijassa-806	2	42	bp	bp	PROPN
ijassa-806	2	43	.	.	PROPN
ijassa-806	3	1	1505	1505	NUM
ijassa-806	3	2	el	el	PROPN
ijassa-806	3	3	m’naouer	m’naouer	PROPN
ijassa-806	3	4	,	,	PUNCT
ijassa-806	3	5	oran	oran	NOUN
ijassa-806	3	6	,	,	PUNCT
ijassa-806	3	7	31000	31000	NUM
ijassa-806	3	8	,	,	PUNCT
ijassa-806	3	9	algeria	algeria	PROPN
ijassa-806	3	10	abstract	abstract	NOUN
ijassa-806	3	11	:	:	PUNCT
ijassa-806	3	12	in	in	ADP
ijassa-806	3	13	the	the	DET
ijassa-806	3	14	dependability	dependability	NOUN
ijassa-806	3	15	context	context	NOUN
ijassa-806	3	16	,	,	PUNCT
ijassa-806	3	17	diagnosis	diagnosis	NOUN
ijassa-806	3	18	is	be	AUX
ijassa-806	3	19	fundamental	fundamental	ADJ
ijassa-806	3	20	for	for	ADP
ijassa-806	3	21	identifying	identify	VERB
ijassa-806	3	22	and	and	CCONJ
ijassa-806	3	23	classifying	classify	VERB
ijassa-806	3	24	failures	failure	NOUN
ijassa-806	3	25	to	to	PART
ijassa-806	3	26	reduce	reduce	VERB
ijassa-806	3	27	system	system	NOUN
ijassa-806	3	28	malfunctions	malfunction	NOUN
ijassa-806	3	29	and	and	CCONJ
ijassa-806	3	30	accidents	accident	NOUN
ijassa-806	3	31	that	that	PRON
ijassa-806	3	32	can	can	AUX
ijassa-806	3	33	cause	cause	VERB
ijassa-806	3	34	serious	serious	ADJ
ijassa-806	3	35	damage	damage	NOUN
ijassa-806	3	36	to	to	ADP
ijassa-806	3	37	property	property	NOUN
ijassa-806	3	38	and	and	CCONJ
ijassa-806	3	39	people	people	NOUN
ijassa-806	3	40	.	.	PUNCT
ijassa-806	4	1	currently	currently	ADV
ijassa-806	4	2	,	,	PUNCT
ijassa-806	4	3	systems	system	NOUN
ijassa-806	4	4	are	be	AUX
ijassa-806	4	5	generally	generally	ADV
ijassa-806	4	6	complex	complex	ADJ
ijassa-806	4	7	and	and	CCONJ
ijassa-806	4	8	the	the	DET
ijassa-806	4	9	distribution	distribution	NOUN
ijassa-806	4	10	approach	approach	NOUN
ijassa-806	4	11	of	of	ADP
ijassa-806	4	12	diagnostic	diagnostic	ADJ
ijassa-806	4	13	function	function	NOUN
ijassa-806	4	14	makes	make	VERB
ijassa-806	4	15	it	it	PRON
ijassa-806	4	16	possible	possible	ADJ
ijassa-806	4	17	to	to	SCONJ
ijassa-806	4	18	better	well	ADJ
ijassa-806	4	19	managing	manage	VERB
ijassa-806	4	20	systems	system	NOUN
ijassa-806	4	21	to	to	PART
ijassa-806	4	22	be	be	AUX
ijassa-806	4	23	diagnosed	diagnose	VERB
ijassa-806	4	24	.	.	PUNCT
ijassa-806	5	1	this	this	DET
ijassa-806	5	2	article	article	NOUN
ijassa-806	5	3	proposes	propose	VERB
ijassa-806	5	4	a	a	DET
ijassa-806	5	5	methodology	methodology	NOUN
ijassa-806	5	6	for	for	ADP
ijassa-806	5	7	the	the	DET
ijassa-806	5	8	distributed	distribute	VERB
ijassa-806	5	9	diagnosis	diagnosis	NOUN
ijassa-806	5	10	of	of	ADP
ijassa-806	5	11	discrete	discrete	ADJ
ijassa-806	5	12	event	event	NOUN
ijassa-806	5	13	systems	system	NOUN
ijassa-806	5	14	,	,	PUNCT
ijassa-806	5	15	which	which	PRON
ijassa-806	5	16	are	be	AUX
ijassa-806	5	17	dynamic	dynamic	ADJ
ijassa-806	5	18	systems	system	NOUN
ijassa-806	5	19	widely	widely	ADV
ijassa-806	5	20	spread	spread	VERB
ijassa-806	5	21	.	.	PUNCT
ijassa-806	6	1	the	the	DET
ijassa-806	6	2	proposed	propose	VERB
ijassa-806	6	3	approach	approach	NOUN
ijassa-806	6	4	,	,	PUNCT
ijassa-806	6	5	based	base	VERB
ijassa-806	6	6	on	on	ADP
ijassa-806	6	7	a	a	DET
ijassa-806	6	8	generic	generic	ADJ
ijassa-806	6	9	model	model	NOUN
ijassa-806	6	10	,	,	PUNCT
ijassa-806	6	11	is	be	AUX
ijassa-806	6	12	formed	form	VERB
ijassa-806	6	13	of	of	ADP
ijassa-806	6	14	two	two	NUM
ijassa-806	6	15	sequential	sequential	ADJ
ijassa-806	6	16	steps	step	NOUN
ijassa-806	6	17	.	.	PUNCT
ijassa-806	7	1	the	the	DET
ijassa-806	7	2	first	first	ADJ
ijassa-806	7	3	one	one	NOUN
ijassa-806	7	4	consists	consist	VERB
ijassa-806	7	5	in	in	ADP
ijassa-806	7	6	the	the	DET
ijassa-806	7	7	system	system	NOUN
ijassa-806	7	8	modeling	model	VERB
ijassa-806	7	9	in	in	ADP
ijassa-806	7	10	order	order	NOUN
ijassa-806	7	11	to	to	PART
ijassa-806	7	12	understand	understand	VERB
ijassa-806	7	13	real	real	ADJ
ijassa-806	7	14	behavior	behavior	NOUN
ijassa-806	7	15	of	of	ADP
ijassa-806	7	16	the	the	DET
ijassa-806	7	17	studied	studied	ADJ
ijassa-806	7	18	system	system	NOUN
ijassa-806	7	19	,	,	PUNCT
ijassa-806	7	20	through	through	ADP
ijassa-806	7	21	a	a	DET
ijassa-806	7	22	distributed	distribute	VERB
ijassa-806	7	23	recovery	recovery	NOUN
ijassa-806	7	24	of	of	ADP
ijassa-806	7	25	signals	signal	NOUN
ijassa-806	7	26	.	.	PUNCT
ijassa-806	8	1	the	the	DET
ijassa-806	8	2	second	second	ADJ
ijassa-806	8	3	step	step	NOUN
ijassa-806	8	4	is	be	AUX
ijassa-806	8	5	to	to	PART
ijassa-806	8	6	standardize	standardize	VERB
ijassa-806	8	7	and	and	CCONJ
ijassa-806	8	8	process	process	NOUN
ijassa-806	8	9	data	datum	NOUN
ijassa-806	8	10	for	for	ADP
ijassa-806	8	11	the	the	DET
ijassa-806	8	12	classification	classification	NOUN
ijassa-806	8	13	of	of	ADP
ijassa-806	8	14	failures	failure	NOUN
ijassa-806	8	15	.	.	PUNCT
ijassa-806	9	1	to	to	PART
ijassa-806	9	2	achieve	achieve	VERB
ijassa-806	9	3	this	this	DET
ijassa-806	9	4	challenge	challenge	NOUN
ijassa-806	9	5	,	,	PUNCT
ijassa-806	9	6	two	two	NUM
ijassa-806	9	7	learning	learn	VERB
ijassa-806	9	8	classification	classification	NOUN
ijassa-806	9	9	methods	method	NOUN
ijassa-806	9	10	are	be	AUX
ijassa-806	9	11	adopted	adopt	VERB
ijassa-806	9	12	:	:	PUNCT
ijassa-806	9	13	the	the	DET
ijassa-806	9	14	learning	learn	VERB
ijassa-806	9	15	algorithm	algorithm	NOUN
ijassa-806	9	16	for	for	ADP
ijassa-806	9	17	multivariate	multivariate	NOUN
ijassa-806	9	18	data	datum	NOUN
ijassa-806	9	19	analysis	analysis	NOUN
ijassa-806	9	20	(	(	PUNCT
ijassa-806	9	21	lamda	lamda	NOUN
ijassa-806	9	22	)	)	PUNCT
ijassa-806	9	23	coupled	couple	VERB
ijassa-806	9	24	with	with	ADP
ijassa-806	9	25	the	the	DET
ijassa-806	9	26	k	k	PROPN
ijassa-806	9	27	-	-	PUNCT
ijassa-806	9	28	nearest	near	ADJ
ijassa-806	9	29	neighbor	neighbor	NOUN
ijassa-806	9	30	algorithm	algorithm	NOUN
ijassa-806	9	31	(	(	PUNCT
ijassa-806	9	32	k	k	NOUN
ijassa-806	9	33	-	-	PUNCT
ijassa-806	9	34	nn	nn	NOUN
ijassa-806	9	35	)	)	PUNCT
ijassa-806	9	36	.	.	PUNCT
ijassa-806	10	1	the	the	DET
ijassa-806	10	2	methodology	methodology	NOUN
ijassa-806	10	3	is	be	AUX
ijassa-806	10	4	applied	apply	VERB
ijassa-806	10	5	on	on	ADP
ijassa-806	10	6	a	a	DET
ijassa-806	10	7	particular	particular	ADJ
ijassa-806	10	8	discrete	discrete	ADJ
ijassa-806	10	9	event	event	NOUN
ijassa-806	10	10	system	system	NOUN
ijassa-806	10	11	,	,	PUNCT
ijassa-806	10	12	a	a	DET
ijassa-806	10	13	railway	railway	NOUN
ijassa-806	10	14	transport	transport	NOUN
ijassa-806	10	15	network	network	NOUN
ijassa-806	10	16	following	follow	VERB
ijassa-806	10	17	a	a	DET
ijassa-806	10	18	real	real	ADJ
ijassa-806	10	19	case	case	NOUN
ijassa-806	10	20	of	of	ADP
ijassa-806	10	21	railway	railway	NOUN
ijassa-806	10	22	line	line	NOUN
ijassa-806	10	23	.	.	PUNCT
ijassa-806	11	1	the	the	DET
ijassa-806	11	2	obtained	obtain	VERB
ijassa-806	11	3	results	result	NOUN
ijassa-806	11	4	showed	show	VERB
ijassa-806	11	5	improvement	improvement	NOUN
ijassa-806	11	6	of	of	ADP
ijassa-806	11	7	the	the	DET
ijassa-806	11	8	classification	classification	NOUN
ijassa-806	11	9	rate	rate	NOUN
ijassa-806	11	10	by	by	ADP
ijassa-806	11	11	recognition	recognition	NOUN
ijassa-806	11	12	,	,	PUNCT
ijassa-806	11	13	also	also	ADV
ijassa-806	11	14	becoming	become	VERB
ijassa-806	11	15	better	well	ADJ
ijassa-806	11	16	that	that	SCONJ
ijassa-806	11	17	the	the	DET
ijassa-806	11	18	supervised	supervised	ADJ
ijassa-806	11	19	classification	classification	NOUN
ijassa-806	11	20	rate	rate	NOUN
ijassa-806	11	21	.	.	PUNCT
ijassa-806	12	1	the	the	DET
ijassa-806	12	2	adopted	adopt	VERB
ijassa-806	12	3	methodology	methodology	NOUN
ijassa-806	12	4	offers	offer	VERB
ijassa-806	12	5	a	a	DET
ijassa-806	12	6	distributed	distribute	VERB
ijassa-806	12	7	diagnosis	diagnosis	NOUN
ijassa-806	12	8	framework	framework	NOUN
ijassa-806	12	9	,	,	PUNCT
ijassa-806	12	10	which	which	PRON
ijassa-806	12	11	emerges	emerge	VERB
ijassa-806	12	12	as	as	ADP
ijassa-806	12	13	an	an	DET
ijassa-806	12	14	efficacy	efficacy	NOUN
ijassa-806	12	15	and	and	CCONJ
ijassa-806	12	16	robust	robust	ADJ
ijassa-806	12	17	way	way	NOUN
ijassa-806	12	18	for	for	ADP
ijassa-806	12	19	classify	classify	VERB
ijassa-806	12	20	any	any	DET
ijassa-806	12	21	failures	failure	NOUN
ijassa-806	12	22	of	of	ADP
ijassa-806	12	23	systems	system	NOUN
ijassa-806	12	24	.	.	PUNCT
ijassa-806	13	1	keywords	keyword	NOUN
ijassa-806	13	2	:	:	PUNCT
ijassa-806	13	3	dependability	dependability	NOUN
ijassa-806	13	4	,	,	PUNCT
ijassa-806	13	5	failure	failure	NOUN
ijassa-806	13	6	,	,	PUNCT
ijassa-806	13	7	distributed	distributed	ADJ
ijassa-806	13	8	diagnosis	diagnosis	NOUN
ijassa-806	13	9	,	,	PUNCT
ijassa-806	13	10	learning	learning	NOUN
ijassa-806	13	11	methods	method	NOUN
ijassa-806	13	12	,	,	PUNCT
ijassa-806	13	13	classification	classification	NOUN
ijassa-806	13	14	,	,	PUNCT
ijassa-806	13	15	lamda	lamda	NOUN
ijassa-806	13	16	,	,	PUNCT
ijassa-806	13	17	k	k	PROPN
ijassa-806	13	18	-	-	PUNCT
ijassa-806	13	19	nn	nn	X
ijassa-806	13	20	algorithm	algorithm	NOUN
ijassa-806	13	21	.	.	PUNCT
ijassa-806	14	1	1	1	X
ijassa-806	14	2	.	.	X
ijassa-806	14	3	introduction	introduction	NOUN
ijassa-806	14	4	the	the	DET
ijassa-806	14	5	need	need	NOUN
ijassa-806	14	6	to	to	PART
ijassa-806	14	7	ensure	ensure	VERB
ijassa-806	14	8	dependability	dependability	NOUN
ijassa-806	15	1	[	[	X
ijassa-806	15	2	2	2	NUM
ijassa-806	15	3	]	]	PUNCT
ijassa-806	15	4	of	of	ADP
ijassa-806	15	5	systems	system	NOUN
ijassa-806	15	6	and	and	CCONJ
ijassa-806	15	7	to	to	PART
ijassa-806	15	8	monitor	monitor	VERB
ijassa-806	15	9	their	their	PRON
ijassa-806	15	10	actual	actual	ADJ
ijassa-806	15	11	behavior	behavior	NOUN
ijassa-806	15	12	makes	make	VERB
ijassa-806	15	13	diagnosis	diagnosis	NOUN
ijassa-806	15	14	an	an	DET
ijassa-806	15	15	indispensable	indispensable	ADJ
ijassa-806	15	16	and	and	CCONJ
ijassa-806	15	17	fundamental	fundamental	ADJ
ijassa-806	15	18	operation	operation	NOUN
ijassa-806	15	19	.	.	PUNCT
ijassa-806	16	1	indeed	indeed	ADV
ijassa-806	16	2	,	,	PUNCT
ijassa-806	16	3	slightest	slight	ADJ
ijassa-806	16	4	dysfunction	dysfunction	NOUN
ijassa-806	16	5	of	of	ADP
ijassa-806	16	6	the	the	DET
ijassa-806	16	7	system	system	NOUN
ijassa-806	16	8	can	can	AUX
ijassa-806	16	9	generate	generate	VERB
ijassa-806	16	10	disasters	disaster	NOUN
ijassa-806	16	11	and	and	CCONJ
ijassa-806	16	12	it	it	PRON
ijassa-806	16	13	's	be	AUX
ijassa-806	16	14	important	important	ADJ
ijassa-806	16	15	to	to	PART
ijassa-806	16	16	identify	identify	VERB
ijassa-806	16	17	failures	failure	NOUN
ijassa-806	16	18	that	that	PRON
ijassa-806	16	19	cause	cause	VERB
ijassa-806	16	20	.	.	PUNCT
ijassa-806	17	1	the	the	DET
ijassa-806	17	2	diagnosis	diagnosis	NOUN
ijassa-806	17	3	aim	aim	VERB
ijassa-806	17	4	[	[	X
ijassa-806	17	5	33	33	NUM
ijassa-806	17	6	]	]	PUNCT
ijassa-806	17	7	is	be	AUX
ijassa-806	17	8	to	to	PART
ijassa-806	17	9	detect	detect	VERB
ijassa-806	17	10	probable	probable	ADJ
ijassa-806	17	11	cause	cause	NOUN
ijassa-806	17	12	of	of	ADP
ijassa-806	17	13	failure	failure	NOUN
ijassa-806	17	14	.	.	PUNCT
ijassa-806	18	1	in	in	ADP
ijassa-806	18	2	this	this	DET
ijassa-806	18	3	context	context	NOUN
ijassa-806	18	4	,	,	PUNCT
ijassa-806	18	5	many	many	ADJ
ijassa-806	18	6	approaches	approach	NOUN
ijassa-806	18	7	[	[	X
ijassa-806	18	8	11,13,24,28	11,13,24,28	NUM
ijassa-806	18	9	]	]	PUNCT
ijassa-806	18	10	have	have	AUX
ijassa-806	18	11	been	be	AUX
ijassa-806	18	12	developed	develop	VERB
ijassa-806	18	13	:	:	PUNCT
ijassa-806	18	14	these	these	DET
ijassa-806	18	15	methods	method	NOUN
ijassa-806	18	16	are	be	AUX
ijassa-806	18	17	based	base	VERB
ijassa-806	18	18	on	on	ADP
ijassa-806	18	19	a	a	DET
ijassa-806	18	20	model	model	NOUN
ijassa-806	18	21	of	of	ADP
ijassa-806	18	22	the	the	DET
ijassa-806	18	23	normal	normal	ADJ
ijassa-806	18	24	and/or	and/or	CCONJ
ijassa-806	18	25	failing	fail	VERB
ijassa-806	18	26	system	system	NOUN
ijassa-806	18	27	behavior	behavior	NOUN
ijassa-806	18	28	.	.	PUNCT
ijassa-806	19	1	diagnosis	diagnosis	NOUN
ijassa-806	19	2	methods	method	NOUN
ijassa-806	19	3	differ	differ	VERB
ijassa-806	19	4	according	accord	VERB
ijassa-806	19	5	to	to	ADP
ijassa-806	19	6	different	different	ADJ
ijassa-806	19	7	criteria	criterion	NOUN
ijassa-806	19	8	as	as	ADP
ijassa-806	19	9	process	process	NOUN
ijassa-806	19	10	dynamics	dynamic	NOUN
ijassa-806	19	11	(	(	PUNCT
ijassa-806	19	12	discrete	discrete	ADJ
ijassa-806	19	13	,	,	PUNCT
ijassa-806	19	14	continuous	continuous	ADJ
ijassa-806	19	15	or	or	CCONJ
ijassa-806	19	16	hybrid	hybrid	NOUN
ijassa-806	19	17	)	)	PUNCT
ijassa-806	19	18	,	,	PUNCT
ijassa-806	19	19	complexity	complexity	NOUN
ijassa-806	19	20	,	,	PUNCT
ijassa-806	19	21	implementation	implementation	NOUN
ijassa-806	19	22	(	(	PUNCT
ijassa-806	19	23	on	on	ADP
ijassa-806	19	24	-	-	PUNCT
ijassa-806	19	25	line	line	NOUN
ijassa-806	19	26	and/or	and/or	CCONJ
ijassa-806	19	27	offline	offline	ADJ
ijassa-806	19	28	)	)	PUNCT
ijassa-806	19	29	,	,	PUNCT
ijassa-806	19	30	nature	nature	NOUN
ijassa-806	19	31	of	of	ADP
ijassa-806	19	32	information	information	NOUN
ijassa-806	19	33	(	(	PUNCT
ijassa-806	19	34	qualitative	qualitative	NOUN
ijassa-806	19	35	and/or	and/or	CCONJ
ijassa-806	19	36	quantitative	quantitative	ADJ
ijassa-806	19	37	)	)	PUNCT
ijassa-806	19	38	,	,	PUNCT
ijassa-806	19	39	depth	depth	NOUN
ijassa-806	19	40	(	(	PUNCT
ijassa-806	19	41	structural	structural	ADJ
ijassa-806	19	42	,	,	PUNCT
ijassa-806	19	43	functional	functional	ADJ
ijassa-806	19	44	and/or	and/or	CCONJ
ijassa-806	19	45	temporal	temporal	ADJ
ijassa-806	19	46	)	)	PUNCT
ijassa-806	19	47	and	and	CCONJ
ijassa-806	19	48	distribution	distribution	NOUN
ijassa-806	19	49	(	(	PUNCT
ijassa-806	19	50	centralized	centralized	ADJ
ijassa-806	19	51	,	,	PUNCT
ijassa-806	19	52	decentralized	decentralized	ADJ
ijassa-806	19	53	or	or	CCONJ
ijassa-806	19	54	distributed	distribute	VERB
ijassa-806	19	55	)	)	PUNCT
ijassa-806	19	56	.	.	PUNCT
ijassa-806	20	1	the	the	DET
ijassa-806	20	2	difference	difference	NOUN
ijassa-806	20	3	can	can	AUX
ijassa-806	20	4	also	also	ADV
ijassa-806	20	5	about	about	ADP
ijassa-806	20	6	localization	localization	NOUN
ijassa-806	20	7	,	,	PUNCT
ijassa-806	20	8	external	external	ADJ
ijassa-806	20	9	and	and	CCONJ
ijassa-806	20	10	internal	internal	ADJ
ijassa-806	20	11	methods	method	NOUN
ijassa-806	20	12	[	[	X
ijassa-806	20	13	26	26	NUM
ijassa-806	20	14	]	]	PUNCT
ijassa-806	20	15	.	.	PUNCT
ijassa-806	21	1	whatever	whatever	DET
ijassa-806	21	2	orientation	orientation	NOUN
ijassa-806	21	3	of	of	ADP
ijassa-806	21	4	methods	method	NOUN
ijassa-806	21	5	,	,	PUNCT
ijassa-806	21	6	it	it	PRON
ijassa-806	21	7	is	be	AUX
ijassa-806	21	8	generally	generally	ADV
ijassa-806	21	9	adopted	adopt	VERB
ijassa-806	21	10	that	that	SCONJ
ijassa-806	21	11	industrial	industrial	ADJ
ijassa-806	21	12	diagnosis	diagnosis	NOUN
ijassa-806	21	13	is	be	AUX
ijassa-806	21	14	a	a	DET
ijassa-806	21	15	deterministic	deterministic	ADJ
ijassa-806	21	16	causality	causality	NOUN
ijassa-806	21	17	relation	relation	NOUN
ijassa-806	21	18	between	between	ADP
ijassa-806	21	19	the	the	DET
ijassa-806	21	20	cause	cause	NOUN
ijassa-806	21	21	and	and	CCONJ
ijassa-806	21	22	the	the	DET
ijassa-806	21	23	effect	effect	NOUN
ijassa-806	22	1	[	[	X
ijassa-806	22	2	33	33	NUM
ijassa-806	22	3	]	]	PUNCT
ijassa-806	22	4	.	.	PUNCT
ijassa-806	23	1	knowing	know	VERB
ijassa-806	23	2	that	that	SCONJ
ijassa-806	23	3	diagnosis	diagnosis	NOUN
ijassa-806	23	4	becomes	become	VERB
ijassa-806	23	5	very	very	ADV
ijassa-806	23	6	complex	complex	ADJ
ijassa-806	23	7	when	when	SCONJ
ijassa-806	23	8	systems	system	NOUN
ijassa-806	23	9	to	to	PART
ijassa-806	23	10	be	be	AUX
ijassa-806	23	11	diagnosed	diagnose	VERB
ijassa-806	23	12	are	be	AUX
ijassa-806	23	13	no	no	ADV
ijassa-806	23	14	longer	long	ADV
ijassa-806	23	15	elementary	elementary	ADJ
ijassa-806	23	16	,	,	PUNCT
ijassa-806	23	17	integration	integration	NOUN
ijassa-806	23	18	of	of	ADP
ijassa-806	23	19	the	the	DET
ijassa-806	23	20	distribution	distribution	NOUN
ijassa-806	23	21	notion	notion	NOUN
ijassa-806	23	22	becomes	become	VERB
ijassa-806	23	23	an	an	DET
ijassa-806	23	24	important	important	ADJ
ijassa-806	23	25	issue	issue	NOUN
ijassa-806	23	26	.	.	PUNCT
ijassa-806	24	1	we	we	PRON
ijassa-806	24	2	are	be	AUX
ijassa-806	24	3	interested	interested	ADJ
ijassa-806	24	4	in	in	ADP
ijassa-806	24	5	distribution	distribution	NOUN
ijassa-806	24	6	approach	approach	NOUN
ijassa-806	24	7	of	of	ADP
ijassa-806	24	8	the	the	DET
ijassa-806	24	9	diagnostic	diagnostic	ADJ
ijassa-806	24	10	function	function	NOUN
ijassa-806	24	11	,	,	PUNCT
ijassa-806	24	12	especially	especially	ADV
ijassa-806	24	13	on	on	ADP
ijassa-806	24	14	discrete	discrete	ADJ
ijassa-806	24	15	event	event	NOUN
ijassa-806	24	16	systems	system	NOUN
ijassa-806	24	17	(	(	PUNCT
ijassa-806	24	18	des	des	PROPN
ijassa-806	24	19	)	)	PUNCT
ijassa-806	24	20	.	.	PUNCT
ijassa-806	25	1	these	these	PRON
ijassa-806	25	2	are	be	AUX
ijassa-806	25	3	dynamic	dynamic	ADJ
ijassa-806	25	4	systems	system	NOUN
ijassa-806	25	5	allowing	allow	VERB
ijassa-806	25	6	modeling	modeling	NOUN
ijassa-806	25	7	and	and	CCONJ
ijassa-806	25	8	analysis	analysis	NOUN
ijassa-806	25	9	of	of	ADP
ijassa-806	25	10	human	human	NOUN
ijassa-806	25	11	-	-	PUNCT
ijassa-806	25	12	made	make	VERB
ijassa-806	25	13	systems	system	NOUN
ijassa-806	25	14	like	like	ADP
ijassa-806	25	15	manufacturing	manufacturing	NOUN
ijassa-806	25	16	,	,	PUNCT
ijassa-806	25	17	communication	communication	NOUN
ijassa-806	25	18	and	and	CCONJ
ijassa-806	25	19	transportation	transportation	NOUN
ijassa-806	25	20	offering	offer	VERB
ijassa-806	25	21	an	an	DET
ijassa-806	25	22	interdisciplinary	interdisciplinary	ADJ
ijassa-806	25	23	view	view	NOUN
ijassa-806	25	24	[	[	X
ijassa-806	25	25	29	29	NUM
ijassa-806	25	26	]	]	PUNCT
ijassa-806	25	27	.	.	PUNCT
ijassa-806	26	1	given	give	VERB
ijassa-806	26	2	complexity	complexity	NOUN
ijassa-806	26	3	of	of	ADP
ijassa-806	26	4	systems	system	NOUN
ijassa-806	26	5	,	,	PUNCT
ijassa-806	26	6	this	this	DET
ijassa-806	26	7	work	work	NOUN
ijassa-806	26	8	focuses	focus	VERB
ijassa-806	26	9	on	on	ADP
ijassa-806	26	10	a	a	DET
ijassa-806	26	11	model	model	NOUN
ijassa-806	26	12	which	which	PRON
ijassa-806	26	13	is	be	AUX
ijassa-806	26	14	an	an	DET
ijassa-806	26	15	abstract	abstract	ADJ
ijassa-806	26	16	and	and	CCONJ
ijassa-806	26	17	partial	partial	ADJ
ijassa-806	26	18	view	view	NOUN
ijassa-806	26	19	of	of	ADP
ijassa-806	26	20	the	the	DET
ijassa-806	26	21	system	system	NOUN
ijassa-806	26	22	behavior	behavior	NOUN
ijassa-806	26	23	.	.	PUNCT
ijassa-806	27	1	*	*	PUNCT
ijassa-806	27	2	corresponding	correspond	VERB
ijassa-806	27	3	author	author	NOUN
ijassa-806	27	4	:	:	PUNCT
ijassa-806	27	5	myriam.noureddine@univ-usto.dz	myriam.noureddine@univ-usto.dz	PROPN
ijassa-806	27	6	116	116	NUM
ijassa-806	27	7	h.	h.	PROPN
ijassa-806	27	8	serradj	serradj	PROPN
ijassa-806	27	9	,	,	PUNCT
ijassa-806	27	10	m.	m.	NOUN
ijassa-806	27	11	noureddine	noureddine	ADP
ijassa-806	27	12	copyright	copyright	NOUN
ijassa-806	27	13	©	©	PROPN
ijassa-806	27	14	2023	2023	NUM
ijassa-806	27	15	assa	assa	PROPN
ijassa-806	27	16	adv	adv	PROPN
ijassa-806	27	17	.	.	PUNCT
ijassa-806	28	1	in	in	ADP
ijassa-806	28	2	systems	system	NOUN
ijassa-806	28	3	science	science	NOUN
ijassa-806	28	4	and	and	CCONJ
ijassa-806	28	5	appl	appl	NOUN
ijassa-806	28	6	.	.	PUNCT
ijassa-806	29	1	(	(	PUNCT
ijassa-806	29	2	2023	2023	NUM
ijassa-806	29	3	)	)	PUNCT
ijassa-806	29	4	to	to	PART
ijassa-806	29	5	exploit	exploit	VERB
ijassa-806	29	6	potentialities	potentiality	NOUN
ijassa-806	29	7	of	of	ADP
ijassa-806	29	8	a	a	DET
ijassa-806	29	9	des	des	PROPN
ijassa-806	29	10	,	,	PUNCT
ijassa-806	29	11	physically	physically	ADV
ijassa-806	29	12	distributed	distribute	VERB
ijassa-806	29	13	,	,	PUNCT
ijassa-806	29	14	authors	author	NOUN
ijassa-806	29	15	propose	propose	VERB
ijassa-806	29	16	a	a	DET
ijassa-806	29	17	methodology	methodology	NOUN
ijassa-806	29	18	,	,	PUNCT
ijassa-806	29	19	on	on	ADP
ijassa-806	29	20	two	two	NUM
ijassa-806	29	21	steps	step	NOUN
ijassa-806	29	22	and	and	CCONJ
ijassa-806	29	23	integrating	integrate	VERB
ijassa-806	29	24	a	a	DET
ijassa-806	29	25	generic	generic	ADJ
ijassa-806	29	26	model	model	NOUN
ijassa-806	29	27	.	.	PUNCT
ijassa-806	30	1	the	the	DET
ijassa-806	30	2	first	first	ADJ
ijassa-806	30	3	step	step	NOUN
ijassa-806	30	4	consists	consist	VERB
ijassa-806	30	5	in	in	ADP
ijassa-806	30	6	modeling	model	VERB
ijassa-806	30	7	the	the	DET
ijassa-806	30	8	des	de	NOUN
ijassa-806	30	9	using	use	VERB
ijassa-806	30	10	a	a	DET
ijassa-806	30	11	method	method	NOUN
ijassa-806	30	12	based	base	VERB
ijassa-806	30	13	on	on	ADP
ijassa-806	30	14	logical	logical	ADJ
ijassa-806	30	15	models	model	NOUN
ijassa-806	30	16	.	.	PUNCT
ijassa-806	31	1	so	so	ADV
ijassa-806	31	2	,	,	PUNCT
ijassa-806	31	3	simulation	simulation	NOUN
ijassa-806	31	4	of	of	ADP
ijassa-806	31	5	obtained	obtain	VERB
ijassa-806	31	6	model	model	NOUN
ijassa-806	31	7	makes	make	VERB
ijassa-806	31	8	it	it	PRON
ijassa-806	31	9	possible	possible	ADJ
ijassa-806	31	10	to	to	PART
ijassa-806	31	11	better	well	ADV
ijassa-806	31	12	understand	understand	VERB
ijassa-806	31	13	real	real	ADJ
ijassa-806	31	14	behavior	behavior	NOUN
ijassa-806	31	15	of	of	ADP
ijassa-806	31	16	the	the	DET
ijassa-806	31	17	studied	studied	ADJ
ijassa-806	31	18	system	system	NOUN
ijassa-806	31	19	.	.	PUNCT
ijassa-806	32	1	the	the	DET
ijassa-806	32	2	second	second	ADJ
ijassa-806	32	3	step	step	NOUN
ijassa-806	32	4	is	be	AUX
ijassa-806	32	5	to	to	PART
ijassa-806	32	6	standardize	standardize	VERB
ijassa-806	32	7	and	and	CCONJ
ijassa-806	32	8	process	process	NOUN
ijassa-806	32	9	obtained	obtain	VERB
ijassa-806	32	10	data	datum	NOUN
ijassa-806	32	11	for	for	ADP
ijassa-806	32	12	classification	classification	NOUN
ijassa-806	32	13	of	of	ADP
ijassa-806	32	14	failures	failure	NOUN
ijassa-806	32	15	according	accord	VERB
ijassa-806	32	16	in	in	ADP
ijassa-806	32	17	terms	term	NOUN
ijassa-806	32	18	of	of	ADP
ijassa-806	32	19	severity	severity	NOUN
ijassa-806	32	20	.	.	PUNCT
ijassa-806	33	1	to	to	PART
ijassa-806	33	2	obtain	obtain	VERB
ijassa-806	33	3	best	good	ADJ
ijassa-806	33	4	classification	classification	NOUN
ijassa-806	33	5	,	,	PUNCT
ijassa-806	33	6	the	the	DET
ijassa-806	33	7	learning	learn	VERB
ijassa-806	33	8	algorithm	algorithm	NOUN
ijassa-806	33	9	for	for	ADP
ijassa-806	33	10	multivariate	multivariate	NOUN
ijassa-806	33	11	data	datum	NOUN
ijassa-806	33	12	analysis	analysis	NOUN
ijassa-806	33	13	(	(	PUNCT
ijassa-806	33	14	lamda	lamda	NOUN
ijassa-806	33	15	)	)	PUNCT
ijassa-806	33	16	coupled	couple	VERB
ijassa-806	33	17	with	with	ADP
ijassa-806	33	18	the	the	DET
ijassa-806	33	19	k	k	PROPN
ijassa-806	33	20	-	-	PUNCT
ijassa-806	33	21	nearest	near	ADJ
ijassa-806	33	22	neighbor	neighbor	NOUN
ijassa-806	33	23	algorithm	algorithm	NOUN
ijassa-806	33	24	(	(	PUNCT
ijassa-806	33	25	k	k	NOUN
ijassa-806	33	26	-	-	PUNCT
ijassa-806	33	27	nn	nn	NOUN
ijassa-806	33	28	)	)	PUNCT
ijassa-806	33	29	is	be	AUX
ijassa-806	33	30	used	use	VERB
ijassa-806	33	31	.	.	PUNCT
ijassa-806	34	1	remainder	remainder	NOUN
ijassa-806	34	2	of	of	ADP
ijassa-806	34	3	the	the	DET
ijassa-806	34	4	paper	paper	NOUN
ijassa-806	34	5	is	be	AUX
ijassa-806	34	6	organized	organize	VERB
ijassa-806	34	7	as	as	SCONJ
ijassa-806	34	8	follows	follow	VERB
ijassa-806	34	9	:	:	PUNCT
ijassa-806	34	10	section	section	NOUN
ijassa-806	34	11	2	2	NUM
ijassa-806	34	12	presents	present	NOUN
ijassa-806	34	13	distributed	distribute	VERB
ijassa-806	34	14	diagnosis	diagnosis	NOUN
ijassa-806	34	15	and	and	CCONJ
ijassa-806	34	16	the	the	DET
ijassa-806	34	17	two	two	NUM
ijassa-806	34	18	learning	learning	NOUN
ijassa-806	34	19	methods	method	NOUN
ijassa-806	34	20	.	.	PUNCT
ijassa-806	35	1	in	in	ADP
ijassa-806	35	2	section	section	NOUN
ijassa-806	35	3	3	3	NUM
ijassa-806	35	4	,	,	PUNCT
ijassa-806	35	5	complete	complete	ADJ
ijassa-806	35	6	methodology	methodology	NOUN
ijassa-806	35	7	is	be	AUX
ijassa-806	35	8	described	describe	VERB
ijassa-806	35	9	by	by	ADP
ijassa-806	35	10	assembling	assemble	VERB
ijassa-806	35	11	the	the	DET
ijassa-806	35	12	two	two	NUM
ijassa-806	35	13	paradigms	paradigm	NOUN
ijassa-806	35	14	that	that	PRON
ijassa-806	35	15	represent	represent	VERB
ijassa-806	35	16	respectively	respectively	ADV
ijassa-806	35	17	the	the	DET
ijassa-806	35	18	fuzzy	fuzzy	ADJ
ijassa-806	35	19	lamda	lamda	NOUN
ijassa-806	35	20	method	method	NOUN
ijassa-806	35	21	and	and	CCONJ
ijassa-806	35	22	the	the	DET
ijassa-806	35	23	k	k	PROPN
ijassa-806	35	24	-	-	PUNCT
ijassa-806	35	25	nn	nn	ADJ
ijassa-806	35	26	algorithm	algorithm	NOUN
ijassa-806	35	27	.	.	PUNCT
ijassa-806	36	1	section	section	NOUN
ijassa-806	36	2	4	4	NUM
ijassa-806	36	3	consists	consist	VERB
ijassa-806	36	4	of	of	ADP
ijassa-806	36	5	methodology	methodology	NOUN
ijassa-806	36	6	application	application	NOUN
ijassa-806	36	7	on	on	ADP
ijassa-806	36	8	a	a	DET
ijassa-806	36	9	particular	particular	ADJ
ijassa-806	36	10	des	des	PROPN
ijassa-806	36	11	,	,	PUNCT
ijassa-806	36	12	a	a	DET
ijassa-806	36	13	rail	rail	NOUN
ijassa-806	36	14	transport	transport	NOUN
ijassa-806	36	15	network	network	NOUN
ijassa-806	36	16	;	;	PUNCT
ijassa-806	36	17	system	system	NOUN
ijassa-806	36	18	specification	specification	NOUN
ijassa-806	36	19	and	and	CCONJ
ijassa-806	36	20	simulation	simulation	NOUN
ijassa-806	36	21	of	of	ADP
ijassa-806	36	22	the	the	DET
ijassa-806	36	23	distribution	distribution	NOUN
ijassa-806	36	24	modules	module	NOUN
ijassa-806	36	25	are	be	AUX
ijassa-806	36	26	given	give	VERB
ijassa-806	36	27	.	.	PUNCT
ijassa-806	37	1	the	the	DET
ijassa-806	37	2	proposed	propose	VERB
ijassa-806	37	3	classification	classification	NOUN
ijassa-806	37	4	algorithm	algorithm	NOUN
ijassa-806	37	5	is	be	AUX
ijassa-806	37	6	applied	apply	VERB
ijassa-806	37	7	in	in	ADP
ijassa-806	37	8	section	section	NOUN
ijassa-806	37	9	5	5	NUM
ijassa-806	37	10	,	,	PUNCT
ijassa-806	37	11	thus	thus	ADV
ijassa-806	37	12	validating	validate	VERB
ijassa-806	37	13	the	the	DET
ijassa-806	37	14	approach	approach	NOUN
ijassa-806	37	15	,	,	PUNCT
ijassa-806	37	16	where	where	SCONJ
ijassa-806	37	17	comparative	comparative	ADJ
ijassa-806	37	18	and	and	CCONJ
ijassa-806	37	19	interpretation	interpretation	NOUN
ijassa-806	37	20	of	of	ADP
ijassa-806	37	21	the	the	DET
ijassa-806	37	22	obtained	obtain	VERB
ijassa-806	37	23	results	result	NOUN
ijassa-806	37	24	are	be	AUX
ijassa-806	37	25	discussed	discuss	VERB
ijassa-806	37	26	.	.	PUNCT
ijassa-806	38	1	2	2	X
ijassa-806	38	2	.	.	X
ijassa-806	38	3	background	background	NOUN
ijassa-806	38	4	the	the	DET
ijassa-806	38	5	diagnosis	diagnosis	NOUN
ijassa-806	38	6	function	function	NOUN
ijassa-806	38	7	consists	consist	VERB
ijassa-806	38	8	of	of	ADP
ijassa-806	38	9	detecting	detect	VERB
ijassa-806	38	10	,	,	PUNCT
ijassa-806	38	11	locating	locate	VERB
ijassa-806	38	12	and	and	CCONJ
ijassa-806	38	13	identify	identify	VERB
ijassa-806	38	14	a	a	DET
ijassa-806	38	15	fault	fault	NOUN
ijassa-806	38	16	in	in	ADP
ijassa-806	38	17	order	order	NOUN
ijassa-806	38	18	to	to	PART
ijassa-806	38	19	determinate	determinate	VERB
ijassa-806	38	20	its	its	PRON
ijassa-806	38	21	causes	cause	NOUN
ijassa-806	38	22	.	.	PUNCT
ijassa-806	39	1	identified	identify	VERB
ijassa-806	39	2	dysfunctions	dysfunction	NOUN
ijassa-806	39	3	require	require	VERB
ijassa-806	39	4	corrective	corrective	ADJ
ijassa-806	39	5	actions	action	NOUN
ijassa-806	39	6	to	to	PART
ijassa-806	39	7	regain	regain	VERB
ijassa-806	39	8	a	a	DET
ijassa-806	39	9	normal	normal	ADJ
ijassa-806	39	10	functioning	functioning	NOUN
ijassa-806	39	11	and	and	CCONJ
ijassa-806	39	12	to	to	PART
ijassa-806	39	13	limit	limit	VERB
ijassa-806	39	14	consequences	consequence	NOUN
ijassa-806	39	15	of	of	ADP
ijassa-806	39	16	breakdowns	breakdown	NOUN
ijassa-806	39	17	that	that	PRON
ijassa-806	39	18	can	can	AUX
ijassa-806	39	19	be	be	AUX
ijassa-806	39	20	catastrophic	catastrophic	ADJ
ijassa-806	39	21	.	.	PUNCT
ijassa-806	40	1	this	this	PRON
ijassa-806	40	2	becomes	become	VERB
ijassa-806	40	3	an	an	DET
ijassa-806	40	4	important	important	ADJ
ijassa-806	40	5	issue	issue	NOUN
ijassa-806	40	6	when	when	SCONJ
ijassa-806	40	7	systems	system	NOUN
ijassa-806	40	8	to	to	PART
ijassa-806	40	9	be	be	AUX
ijassa-806	40	10	diagnosed	diagnose	VERB
ijassa-806	40	11	are	be	AUX
ijassa-806	40	12	large	large	ADJ
ijassa-806	40	13	and	and	CCONJ
ijassa-806	40	14	complex	complex	ADJ
ijassa-806	40	15	.	.	PUNCT
ijassa-806	41	1	in	in	ADP
ijassa-806	41	2	this	this	DET
ijassa-806	41	3	case	case	NOUN
ijassa-806	41	4	,	,	PUNCT
ijassa-806	41	5	the	the	DET
ijassa-806	41	6	criteria	criterion	NOUN
ijassa-806	41	7	dedicated	dedicate	VERB
ijassa-806	41	8	to	to	ADP
ijassa-806	41	9	the	the	DET
ijassa-806	41	10	distribution	distribution	NOUN
ijassa-806	41	11	and	and	CCONJ
ijassa-806	41	12	the	the	DET
ijassa-806	41	13	process	process	NOUN
ijassa-806	41	14	are	be	AUX
ijassa-806	41	15	to	to	PART
ijassa-806	41	16	be	be	AUX
ijassa-806	41	17	considered	consider	VERB
ijassa-806	41	18	.	.	PUNCT
ijassa-806	42	1	many	many	ADJ
ijassa-806	42	2	works	work	NOUN
ijassa-806	42	3	focus	focus	VERB
ijassa-806	42	4	in	in	ADP
ijassa-806	42	5	this	this	DET
ijassa-806	42	6	way	way	NOUN
ijassa-806	42	7	,	,	PUNCT
ijassa-806	42	8	like	like	ADP
ijassa-806	42	9	an	an	DET
ijassa-806	42	10	embedded	embed	VERB
ijassa-806	42	11	diagnosis	diagnosis	NOUN
ijassa-806	42	12	development	development	NOUN
ijassa-806	42	13	[	[	X
ijassa-806	42	14	4,16	4,16	NUM
ijassa-806	42	15	]	]	X
ijassa-806	42	16	,	,	PUNCT
ijassa-806	42	17	based	base	VERB
ijassa-806	42	18	on	on	ADP
ijassa-806	42	19	three	three	NUM
ijassa-806	42	20	types	type	NOUN
ijassa-806	42	21	of	of	ADP
ijassa-806	42	22	architecture	architecture	NOUN
ijassa-806	42	23	(	(	PUNCT
ijassa-806	42	24	centralized	centralized	ADJ
ijassa-806	42	25	,	,	PUNCT
ijassa-806	42	26	decentralized	decentralized	ADJ
ijassa-806	42	27	and	and	CCONJ
ijassa-806	42	28	distributed	distribute	VERB
ijassa-806	42	29	)	)	PUNCT
ijassa-806	42	30	,	,	PUNCT
ijassa-806	42	31	a	a	DET
ijassa-806	42	32	centralized	centralized	ADJ
ijassa-806	42	33	diagnostic	diagnostic	ADJ
ijassa-806	42	34	approach	approach	NOUN
ijassa-806	42	35	for	for	ADP
ijassa-806	42	36	timed	time	VERB
ijassa-806	42	37	systems	system	NOUN
ijassa-806	42	38	and	and	CCONJ
ijassa-806	42	39	dynamic	dynamic	ADJ
ijassa-806	42	40	systems	system	NOUN
ijassa-806	42	41	[	[	X
ijassa-806	42	42	9	9	NUM
ijassa-806	42	43	]	]	PUNCT
ijassa-806	42	44	.	.	PUNCT
ijassa-806	43	1	a	a	DET
ijassa-806	43	2	diagnosis	diagnosis	NOUN
ijassa-806	43	3	structure	structure	NOUN
ijassa-806	43	4	based	base	VERB
ijassa-806	43	5	on	on	ADP
ijassa-806	43	6	decentralized	decentralized	ADJ
ijassa-806	43	7	models	model	NOUN
ijassa-806	43	8	of	of	ADP
ijassa-806	43	9	a	a	DET
ijassa-806	43	10	complex	complex	ADJ
ijassa-806	43	11	system	system	NOUN
ijassa-806	43	12	represented	represent	VERB
ijassa-806	43	13	by	by	ADP
ijassa-806	43	14	qualitative	qualitative	ADJ
ijassa-806	43	15	constraints	constraint	NOUN
ijassa-806	43	16	is	be	AUX
ijassa-806	43	17	proposed	propose	VERB
ijassa-806	43	18	in	in	ADP
ijassa-806	43	19	[	[	X
ijassa-806	43	20	7	7	NUM
ijassa-806	43	21	]	]	PUNCT
ijassa-806	43	22	.	.	PUNCT
ijassa-806	44	1	authors	author	NOUN
ijassa-806	44	2	in	in	ADP
ijassa-806	44	3	[	[	X
ijassa-806	44	4	25	25	NUM
ijassa-806	44	5	]	]	PUNCT
ijassa-806	44	6	work	work	NOUN
ijassa-806	44	7	on	on	ADP
ijassa-806	44	8	telecommunications	telecommunications	NOUN
ijassa-806	44	9	networks	network	NOUN
ijassa-806	44	10	which	which	PRON
ijassa-806	44	11	are	be	AUX
ijassa-806	44	12	based	base	VERB
ijassa-806	44	13	on	on	ADP
ijassa-806	44	14	the	the	DET
ijassa-806	44	15	fact	fact	NOUN
ijassa-806	44	16	that	that	SCONJ
ijassa-806	44	17	the	the	DET
ijassa-806	44	18	system	system	NOUN
ijassa-806	44	19	model	model	NOUN
ijassa-806	44	20	is	be	AUX
ijassa-806	44	21	very	very	ADV
ijassa-806	44	22	large	large	ADJ
ijassa-806	44	23	.	.	PUNCT
ijassa-806	45	1	many	many	ADJ
ijassa-806	45	2	models	model	NOUN
ijassa-806	45	3	-	-	PUNCT
ijassa-806	45	4	based	base	VERB
ijassa-806	45	5	diagnostic	diagnostic	ADJ
ijassa-806	45	6	approaches	approach	NOUN
ijassa-806	45	7	are	be	AUX
ijassa-806	45	8	derived	derive	VERB
ijassa-806	45	9	from	from	ADP
ijassa-806	45	10	the	the	DET
ijassa-806	45	11	des	des	X
ijassa-806	45	12	[	[	X
ijassa-806	45	13	8,14,27,28,31	8,14,27,28,31	NUM
ijassa-806	45	14	]	]	PUNCT
ijassa-806	45	15	.	.	PUNCT
ijassa-806	46	1	to	to	PART
ijassa-806	46	2	be	be	AUX
ijassa-806	46	3	effective	effective	ADJ
ijassa-806	46	4	,	,	PUNCT
ijassa-806	46	5	the	the	DET
ijassa-806	46	6	diagnosis	diagnosis	NOUN
ijassa-806	46	7	function	function	NOUN
ijassa-806	46	8	must	must	AUX
ijassa-806	46	9	rely	rely	VERB
ijassa-806	46	10	on	on	ADP
ijassa-806	46	11	the	the	DET
ijassa-806	46	12	system	system	NOUN
ijassa-806	46	13	attitude	attitude	NOUN
ijassa-806	46	14	before	before	ADV
ijassa-806	46	15	and	and	CCONJ
ijassa-806	46	16	after	after	ADP
ijassa-806	46	17	failures	failure	NOUN
ijassa-806	46	18	.	.	PUNCT
ijassa-806	47	1	therefore	therefore	ADV
ijassa-806	47	2	,	,	PUNCT
ijassa-806	47	3	classification	classification	NOUN
ijassa-806	47	4	of	of	ADP
ijassa-806	47	5	failures	failure	NOUN
ijassa-806	47	6	is	be	AUX
ijassa-806	47	7	fundamental	fundamental	ADJ
ijassa-806	47	8	and	and	CCONJ
ijassa-806	47	9	often	often	ADV
ijassa-806	47	10	used	use	VERB
ijassa-806	47	11	to	to	PART
ijassa-806	47	12	view	view	VERB
ijassa-806	47	13	the	the	DET
ijassa-806	47	14	system	system	NOUN
ijassa-806	47	15	behavior	behavior	NOUN
ijassa-806	47	16	[	[	X
ijassa-806	47	17	3,19,22	3,19,22	NUM
ijassa-806	47	18	]	]	PUNCT
ijassa-806	47	19	.	.	PUNCT
ijassa-806	48	1	following	follow	VERB
ijassa-806	48	2	this	this	DET
ijassa-806	48	3	context	context	NOUN
ijassa-806	48	4	,	,	PUNCT
ijassa-806	48	5	the	the	DET
ijassa-806	48	6	aim	aim	NOUN
ijassa-806	48	7	in	in	ADP
ijassa-806	48	8	this	this	DET
ijassa-806	48	9	work	work	NOUN
ijassa-806	48	10	is	be	AUX
ijassa-806	48	11	to	to	PART
ijassa-806	48	12	classify	classify	VERB
ijassa-806	48	13	failures	failure	NOUN
ijassa-806	48	14	of	of	ADP
ijassa-806	48	15	spatially	spatially	ADV
ijassa-806	48	16	distributed	distribute	VERB
ijassa-806	48	17	discrete	discrete	ADJ
ijassa-806	48	18	events	event	NOUN
ijassa-806	48	19	systems	system	NOUN
ijassa-806	48	20	,	,	PUNCT
ijassa-806	48	21	helping	help	VERB
ijassa-806	48	22	the	the	DET
ijassa-806	48	23	operator	operator	NOUN
ijassa-806	48	24	to	to	PART
ijassa-806	48	25	limit	limit	VERB
ijassa-806	48	26	the	the	DET
ijassa-806	48	27	number	number	NOUN
ijassa-806	48	28	of	of	ADP
ijassa-806	48	29	failures	failure	NOUN
ijassa-806	48	30	,	,	PUNCT
ijassa-806	48	31	to	to	PART
ijassa-806	48	32	identify	identify	VERB
ijassa-806	48	33	them	they	PRON
ijassa-806	48	34	and	and	CCONJ
ijassa-806	48	35	to	to	PART
ijassa-806	48	36	obtain	obtain	VERB
ijassa-806	48	37	the	the	DET
ijassa-806	48	38	best	good	ADJ
ijassa-806	48	39	distribution	distribution	NOUN
ijassa-806	48	40	of	of	ADP
ijassa-806	48	41	elements	element	NOUN
ijassa-806	48	42	.	.	PUNCT
ijassa-806	49	1	considering	consider	VERB
ijassa-806	49	2	that	that	SCONJ
ijassa-806	49	3	the	the	DET
ijassa-806	49	4	learning	learning	NOUN
ijassa-806	49	5	techniques	technique	NOUN
ijassa-806	49	6	are	be	AUX
ijassa-806	49	7	adequate	adequate	ADJ
ijassa-806	49	8	and	and	CCONJ
ijassa-806	49	9	widely	widely	ADV
ijassa-806	49	10	applied	apply	VERB
ijassa-806	49	11	in	in	ADP
ijassa-806	49	12	classification	classification	NOUN
ijassa-806	49	13	problems	problem	NOUN
ijassa-806	49	14	,	,	PUNCT
ijassa-806	49	15	the	the	DET
ijassa-806	49	16	authors	author	NOUN
ijassa-806	49	17	adopt	adopt	VERB
ijassa-806	49	18	this	this	DET
ijassa-806	49	19	research	research	NOUN
ijassa-806	49	20	framework	framework	NOUN
ijassa-806	49	21	through	through	ADP
ijassa-806	49	22	the	the	DET
ijassa-806	49	23	two	two	NUM
ijassa-806	49	24	learning	learn	VERB
ijassa-806	49	25	classification	classification	NOUN
ijassa-806	49	26	methods	method	NOUN
ijassa-806	49	27	,	,	PUNCT
ijassa-806	49	28	lamda	lamda	NOUN
ijassa-806	49	29	and	and	CCONJ
ijassa-806	49	30	k	k	PROPN
ijassa-806	49	31	-	-	PUNCT
ijassa-806	49	32	nn	nn	PROPN
ijassa-806	49	33	method	method	NOUN
ijassa-806	49	34	.	.	PUNCT
ijassa-806	50	1	lamda	lamda	PROPN
ijassa-806	50	2	method	method	PROPN
ijassa-806	50	3	has	have	AUX
ijassa-806	50	4	shown	show	VERB
ijassa-806	50	5	its	its	PRON
ijassa-806	50	6	effectiveness	effectiveness	NOUN
ijassa-806	50	7	when	when	SCONJ
ijassa-806	50	8	it	it	PRON
ijassa-806	50	9	comes	come	VERB
ijassa-806	50	10	to	to	ADP
ijassa-806	50	11	classification	classification	NOUN
ijassa-806	50	12	with	with	ADP
ijassa-806	50	13	multi	multi	ADJ
ijassa-806	50	14	-	-	ADJ
ijassa-806	50	15	source	source	ADJ
ijassa-806	50	16	learning	learning	NOUN
ijassa-806	50	17	based	base	VERB
ijassa-806	50	18	on	on	ADP
ijassa-806	50	19	fuzzy	fuzzy	ADJ
ijassa-806	50	20	logic	logic	NOUN
ijassa-806	50	21	.	.	PUNCT
ijassa-806	51	1	this	this	PRON
ijassa-806	51	2	gives	give	VERB
ijassa-806	51	3	the	the	DET
ijassa-806	51	4	expert	expert	NOUN
ijassa-806	51	5	a	a	DET
ijassa-806	51	6	real	real	ADJ
ijassa-806	51	7	perception	perception	NOUN
ijassa-806	51	8	on	on	ADP
ijassa-806	51	9	the	the	DET
ijassa-806	51	10	system	system	NOUN
ijassa-806	51	11	behavior	behavior	NOUN
ijassa-806	51	12	as	as	ADV
ijassa-806	51	13	well	well	ADV
ijassa-806	51	14	as	as	ADP
ijassa-806	51	15	the	the	DET
ijassa-806	51	16	state	state	NOUN
ijassa-806	51	17	change	change	NOUN
ijassa-806	51	18	and	and	CCONJ
ijassa-806	51	19	it	it	PRON
ijassa-806	51	20	allows	allow	VERB
ijassa-806	51	21	better	well	ADJ
ijassa-806	51	22	model	model	NOUN
ijassa-806	51	23	human	human	ADJ
ijassa-806	51	24	reasoning	reasoning	NOUN
ijassa-806	51	25	based	base	VERB
ijassa-806	51	26	on	on	ADP
ijassa-806	51	27	uncertainty	uncertainty	NOUN
ijassa-806	51	28	.	.	PUNCT
ijassa-806	52	1	k	k	PROPN
ijassa-806	52	2	-	-	PUNCT
ijassa-806	52	3	nn	nn	PROPN
ijassa-806	52	4	method	method	NOUN
ijassa-806	52	5	is	be	AUX
ijassa-806	52	6	used	use	VERB
ijassa-806	52	7	for	for	ADP
ijassa-806	52	8	indistinguishable	indistinguishable	ADJ
ijassa-806	52	9	elements	element	NOUN
ijassa-806	52	10	,	,	PUNCT
ijassa-806	52	11	which	which	PRON
ijassa-806	52	12	are	be	AUX
ijassa-806	52	13	reclassified	reclassify	VERB
ijassa-806	52	14	and	and	CCONJ
ijassa-806	52	15	a	a	DET
ijassa-806	52	16	final	final	ADJ
ijassa-806	52	17	ranking	ranking	NOUN
ijassa-806	52	18	is	be	AUX
ijassa-806	52	19	obtained	obtain	VERB
ijassa-806	52	20	.	.	PUNCT
ijassa-806	53	1	2.1	2.1	NUM
ijassa-806	53	2	.	.	PUNCT
ijassa-806	53	3	lamda	lamda	PROPN
ijassa-806	53	4	method	method	PROPN
ijassa-806	53	5	lamda	lamda	PROPN
ijassa-806	53	6	method	method	NOUN
ijassa-806	53	7	has	have	AUX
ijassa-806	53	8	been	be	AUX
ijassa-806	53	9	used	use	VERB
ijassa-806	53	10	in	in	ADP
ijassa-806	53	11	very	very	ADV
ijassa-806	53	12	diverse	diverse	ADJ
ijassa-806	53	13	fields	field	NOUN
ijassa-806	53	14	such	such	ADJ
ijassa-806	53	15	as	as	ADP
ijassa-806	53	16	psychology	psychology	NOUN
ijassa-806	53	17	[	[	X
ijassa-806	53	18	1	1	NUM
ijassa-806	53	19	]	]	PUNCT
ijassa-806	53	20	,	,	PUNCT
ijassa-806	53	21	industrial	industrial	ADJ
ijassa-806	53	22	processes	process	NOUN
ijassa-806	53	23	[	[	X
ijassa-806	53	24	18	18	NUM
ijassa-806	53	25	]	]	PUNCT
ijassa-806	53	26	,	,	PUNCT
ijassa-806	53	27	selection	selection	NOUN
ijassa-806	53	28	of	of	ADP
ijassa-806	53	29	sensors	sensor	NOUN
ijassa-806	53	30	[	[	X
ijassa-806	53	31	23	23	NUM
ijassa-806	53	32	]	]	PUNCT
ijassa-806	53	33	and	and	CCONJ
ijassa-806	53	34	segmentation	segmentation	NOUN
ijassa-806	53	35	of	of	ADP
ijassa-806	53	36	biological	biological	ADJ
ijassa-806	53	37	images	image	NOUN
ijassa-806	53	38	[	[	X
ijassa-806	53	39	10	10	NUM
ijassa-806	53	40	]	]	PUNCT
ijassa-806	53	41	.	.	PUNCT
ijassa-806	54	1	a	a	DET
ijassa-806	54	2	software	software	NOUN
ijassa-806	54	3	salsa	salsa	NOUN
ijassa-806	54	4	(	(	PUNCT
ijassa-806	54	5	situation	situation	NOUN
ijassa-806	54	6	assessment	assessment	NOUN
ijassa-806	54	7	uses	uses	AUX
ijassa-806	54	8	lamda	lamda	VERB
ijassa-806	54	9	classification	classification	NOUN
ijassa-806	54	10	analysis	analysis	NOUN
ijassa-806	54	11	)	)	PUNCT
ijassa-806	55	1	[	[	X
ijassa-806	55	2	17–19	17–19	NUM
ijassa-806	55	3	]	]	PUNCT
ijassa-806	55	4	allows	allow	VERB
ijassa-806	55	5	its	its	PRON
ijassa-806	55	6	implementation	implementation	NOUN
ijassa-806	55	7	.	.	PUNCT
ijassa-806	56	1	lamda	lamda	PROPN
ijassa-806	56	2	approach	approach	NOUN
ijassa-806	56	3	is	be	AUX
ijassa-806	56	4	a	a	DET
ijassa-806	56	5	learning	learning	NOUN
ijassa-806	56	6	technique	technique	NOUN
ijassa-806	56	7	based	base	VERB
ijassa-806	56	8	on	on	ADP
ijassa-806	56	9	fuzzy	fuzzy	ADJ
ijassa-806	56	10	logic	logic	NOUN
ijassa-806	56	11	.	.	PUNCT
ijassa-806	57	1	the	the	DET
ijassa-806	57	2	principle	principle	NOUN
ijassa-806	57	3	of	of	ADP
ijassa-806	57	4	lamda	lamda	NOUN
ijassa-806	57	5	methodology	methodology	NOUN
ijassa-806	57	6	is	be	AUX
ijassa-806	57	7	classification	classification	NOUN
ijassa-806	57	8	of	of	ADP
ijassa-806	57	9	objects	object	NOUN
ijassa-806	57	10	,	,	PUNCT
ijassa-806	57	11	which	which	PRON
ijassa-806	57	12	representing	represent	VERB
ijassa-806	57	13	information	information	NOUN
ijassa-806	57	14	.	.	PUNCT
ijassa-806	58	1	objects	object	NOUN
ijassa-806	58	2	are	be	AUX
ijassa-806	58	3	represented	represent	VERB
ijassa-806	58	4	by	by	ADP
ijassa-806	58	5	descriptors	descriptor	NOUN
ijassa-806	58	6	with	with	ADP
ijassa-806	58	7	standardization	standardization	NOUN
ijassa-806	58	8	of	of	ADP
ijassa-806	58	9	values	value	NOUN
ijassa-806	58	10	.	.	PUNCT
ijassa-806	59	1	each	each	DET
ijassa-806	59	2	object	object	NOUN
ijassa-806	59	3	is	be	AUX
ijassa-806	59	4	affected	affect	VERB
ijassa-806	59	5	to	to	ADP
ijassa-806	59	6	a	a	DET
ijassa-806	59	7	class	class	NOUN
ijassa-806	59	8	through	through	ADP
ijassa-806	59	9	the	the	DET
ijassa-806	59	10	marginal	marginal	ADJ
ijassa-806	59	11	adequacy	adequacy	NOUN
ijassa-806	59	12	degree	degree	NOUN
ijassa-806	59	13	(	(	PUNCT
ijassa-806	59	14	mad	mad	ADJ
ijassa-806	59	15	)	)	PUNCT
ijassa-806	59	16	function	function	NOUN
ijassa-806	59	17	.	.	PUNCT
ijassa-806	60	1	this	this	DET
ijassa-806	60	2	function	function	NOUN
ijassa-806	60	3	defines	define	VERB
ijassa-806	60	4	a	a	DET
ijassa-806	60	5	degree	degree	NOUN
ijassa-806	60	6	between	between	ADP
ijassa-806	60	7	attribute	attribute	NOUN
ijassa-806	60	8	adequacy	adequacy	NOUN
ijassa-806	60	9	to	to	ADP
ijassa-806	60	10	a	a	DET
ijassa-806	60	11	class	class	NOUN
ijassa-806	60	12	and	and	CCONJ
ijassa-806	60	13	inadequacy	inadequacy	NOUN
ijassa-806	60	14	of	of	ADP
ijassa-806	60	15	the	the	DET
ijassa-806	60	16	attribute	attribute	NOUN
ijassa-806	60	17	to	to	ADP
ijassa-806	60	18	this	this	DET
ijassa-806	60	19	class	class	NOUN
ijassa-806	60	20	.	.	PUNCT
ijassa-806	61	1	learning	learn	VERB
ijassa-806	61	2	methods	method	NOUN
ijassa-806	61	3	for	for	ADP
ijassa-806	61	4	distributed	distributed	ADJ
ijassa-806	61	5	diagnosis	diagnosis	NOUN
ijassa-806	61	6	…	…	PUNCT
ijassa-806	61	7	117	117	NUM
ijassa-806	61	8	copyright	copyright	NOUN
ijassa-806	61	9	©	©	PROPN
ijassa-806	61	10	2023	2023	NUM
ijassa-806	61	11	assa	assa	NOUN
ijassa-806	61	12	.	.	PUNCT
ijassa-806	62	1	adv	adv	PROPN
ijassa-806	62	2	.	.	PUNCT
ijassa-806	63	1	in	in	ADP
ijassa-806	63	2	systems	system	NOUN
ijassa-806	63	3	science	science	NOUN
ijassa-806	63	4	and	and	CCONJ
ijassa-806	63	5	appl	appl	NOUN
ijassa-806	63	6	.	.	PUNCT
ijassa-806	64	1	(	(	PUNCT
ijassa-806	64	2	2023	2023	NUM
ijassa-806	64	3	)	)	PUNCT
ijassa-806	64	4	for	for	ADP
ijassa-806	64	5	numeric	numeric	ADJ
ijassa-806	64	6	descriptors	descriptor	NOUN
ijassa-806	64	7	,	,	PUNCT
ijassa-806	64	8	the	the	DET
ijassa-806	64	9	mad	mad	ADJ
ijassa-806	64	10	evaluation	evaluation	NOUN
ijassa-806	64	11	can	can	AUX
ijassa-806	64	12	be	be	AUX
ijassa-806	64	13	made	make	VERB
ijassa-806	64	14	through	through	ADP
ijassa-806	64	15	many	many	ADJ
ijassa-806	64	16	functions	function	NOUN
ijassa-806	64	17	,	,	PUNCT
ijassa-806	64	18	in	in	ADP
ijassa-806	64	19	particular	particular	ADJ
ijassa-806	64	20	fuzzy	fuzzy	ADJ
ijassa-806	64	21	extension	extension	NOUN
ijassa-806	64	22	of	of	ADP
ijassa-806	64	23	binomial	binomial	ADJ
ijassa-806	64	24	distributions	distribution	NOUN
ijassa-806	64	25	.	.	PUNCT
ijassa-806	65	1	in	in	ADP
ijassa-806	65	2	this	this	DET
ijassa-806	65	3	work	work	NOUN
ijassa-806	65	4	,	,	PUNCT
ijassa-806	65	5	the	the	DET
ijassa-806	65	6	functions	function	NOUN
ijassa-806	65	7	[	[	X
ijassa-806	65	8	17	17	NUM
ijassa-806	65	9	]	]	PUNCT
ijassa-806	65	10	lamda1	lamda1	NOUN
ijassa-806	65	11	and	and	CCONJ
ijassa-806	65	12	lamda2	lamda2	NOUN
ijassa-806	65	13	are	be	AUX
ijassa-806	65	14	used	use	VERB
ijassa-806	65	15	:	:	PUNCT
ijassa-806	65	16	lamda1	lamda1	ADJ
ijassa-806	65	17	:	:	PUNCT
ijassa-806	65	18	xpxppxmad	xpxppxmad	NOUN
ijassa-806	65	19			PUNCT
ijassa-806	65	20	1)1()/	1)1()/	NUM
ijassa-806	65	21	(	(	PUNCT
ijassa-806	65	22	,	,	PUNCT
ijassa-806	65	23	(	(	PUNCT
ijassa-806	65	24	2.1	2.1	NUM
ijassa-806	65	25	)	)	PUNCT
ijassa-806	65	26	where	where	SCONJ
ijassa-806	65	27	p	p	NOUN
ijassa-806	65	28	is	be	AUX
ijassa-806	65	29	the	the	DET
ijassa-806	65	30	parameter	parameter	NOUN
ijassa-806	65	31	value	value	NOUN
ijassa-806	65	32	of	of	ADP
ijassa-806	65	33	the	the	DET
ijassa-806	65	34	class	class	NOUN
ijassa-806	65	35	c	c	NOUN
ijassa-806	65	36	which	which	PRON
ijassa-806	65	37	describes	describe	VERB
ijassa-806	65	38	the	the	DET
ijassa-806	65	39	descriptor	descriptor	NOUN
ijassa-806	65	40	and	and	CCONJ
ijassa-806	65	41	x	x	NOUN
ijassa-806	65	42	is	be	AUX
ijassa-806	65	43	the	the	DET
ijassa-806	65	44	normalized	normalize	VERB
ijassa-806	65	45	value	value	NOUN
ijassa-806	65	46	of	of	ADP
ijassa-806	65	47	the	the	DET
ijassa-806	65	48	descriptor	descriptor	NOUN
ijassa-806	65	49	z.	z.	PROPN
ijassa-806	65	50	lamda2	lamda2	PROPN
ijassa-806	65	51	:	:	PUNCT
ijassa-806	65	52	xpxkppxmad	xpxkppxmad	NOUN
ijassa-806	65	53			PUNCT
ijassa-806	65	54	1)1()/	1)1()/	NUM
ijassa-806	65	55	(	(	PUNCT
ijassa-806	65	56	,	,	PUNCT
ijassa-806	65	57	(	(	PUNCT
ijassa-806	65	58	2.2	2.2	NUM
ijassa-806	65	59	)	)	PUNCT
ijassa-806	65	60	where	where	SCONJ
ijassa-806	65	61	1p2	1p2	NUM
ijassa-806	65	62	p1	p1	PROPN
ijassa-806	65	63	p	p	PROPN
ijassa-806	65	64	log	log	NOUN
ijassa-806	65	65	)	)	PUNCT
ijassa-806	65	66	(	(	PUNCT
ijassa-806	65	67	k	k	X
ijassa-806	65	68			PROPN
ijassa-806	65	69			PROPN
ijassa-806	65	70	.	.	PUNCT
ijassa-806	66	1	the	the	DET
ijassa-806	66	2	normalized	normalize	VERB
ijassa-806	66	3	value	value	NOUN
ijassa-806	66	4	x	x	VERB
ijassa-806	66	5	is	be	AUX
ijassa-806	66	6	given	give	VERB
ijassa-806	66	7	by	by	ADP
ijassa-806	66	8	equation	equation	NOUN
ijassa-806	66	9	(	(	PUNCT
ijassa-806	66	10	2.3	2.3	NUM
ijassa-806	66	11	):	):	PUNCT
ijassa-806	66	12	minmax	minmax	PROPN
ijassa-806	66	13	min	min	PROPN
ijassa-806	66	14	zz	zz	PROPN
ijassa-806	66	15	zz	zz	PROPN
ijassa-806	66	16	x	x	PUNCT
ijassa-806	66	17			PROPN
ijassa-806	66	18			PROPN
ijassa-806	66	19			NUM
ijassa-806	66	20	,	,	PUNCT
ijassa-806	66	21	(	(	PUNCT
ijassa-806	66	22	2.3	2.3	NUM
ijassa-806	66	23	)	)	PUNCT
ijassa-806	66	24	where	where	SCONJ
ijassa-806	66	25	zmax	zmax	VERB
ijassa-806	66	26	and	and	CCONJ
ijassa-806	66	27	zmin	zmin	NOUN
ijassa-806	66	28	are	be	AUX
ijassa-806	66	29	respectively	respectively	ADV
ijassa-806	66	30	the	the	DET
ijassa-806	66	31	maximum	maximum	ADJ
ijassa-806	66	32	and	and	CCONJ
ijassa-806	66	33	minimum	minimum	ADJ
ijassa-806	66	34	values	value	NOUN
ijassa-806	66	35	of	of	ADP
ijassa-806	66	36	z.	z.	PROPN
ijassa-806	66	37	next	next	ADV
ijassa-806	66	38	,	,	PUNCT
ijassa-806	66	39	the	the	DET
ijassa-806	66	40	global	global	ADJ
ijassa-806	66	41	adequacy	adequacy	NOUN
ijassa-806	66	42	degree	degree	NOUN
ijassa-806	66	43	(	(	PUNCT
ijassa-806	66	44	gad	gad	NOUN
ijassa-806	66	45	)	)	PUNCT
ijassa-806	66	46	is	be	AUX
ijassa-806	66	47	calculated	calculate	VERB
ijassa-806	66	48	.	.	PUNCT
ijassa-806	67	1	for	for	ADP
ijassa-806	67	2	an	an	DET
ijassa-806	67	3	element	element	NOUN
ijassa-806	67	4	(	(	PUNCT
ijassa-806	67	5	described	describe	VERB
ijassa-806	67	6	by	by	ADP
ijassa-806	67	7	1	1	NUM
ijassa-806	67	8	to	to	ADP
ijassa-806	67	9	d	d	PROPN
ijassa-806	67	10	descriptors	descriptor	NOUN
ijassa-806	67	11	)	)	PUNCT
ijassa-806	67	12	,	,	PUNCT
ijassa-806	67	13	the	the	DET
ijassa-806	67	14	gad	gad	PROPN
ijassa-806	67	15	evaluation	evaluation	NOUN
ijassa-806	67	16	is	be	AUX
ijassa-806	67	17	obtained	obtain	VERB
ijassa-806	67	18	by	by	ADP
ijassa-806	67	19	aggregation	aggregation	NOUN
ijassa-806	67	20	of	of	ADP
ijassa-806	67	21	all	all	PRON
ijassa-806	67	22	mad	mad	ADJ
ijassa-806	67	23	of	of	ADP
ijassa-806	67	24	this	this	DET
ijassa-806	67	25	element	element	NOUN
ijassa-806	67	26	to	to	ADP
ijassa-806	67	27	a	a	DET
ijassa-806	67	28	class	class	NOUN
ijassa-806	67	29	through	through	ADP
ijassa-806	67	30	logic	logic	NOUN
ijassa-806	67	31	operators	operator	NOUN
ijassa-806	67	32	like	like	ADP
ijassa-806	67	33	intersection	intersection	NOUN
ijassa-806	67	34	and	and	CCONJ
ijassa-806	67	35	union	union	NOUN
ijassa-806	67	36	functions	function	NOUN
ijassa-806	67	37	.	.	PUNCT
ijassa-806	68	1	so	so	ADV
ijassa-806	68	2	,	,	PUNCT
ijassa-806	68	3	the	the	DET
ijassa-806	68	4	linear	linear	PROPN
ijassa-806	68	5	compensation	compensation	NOUN
ijassa-806	68	6	is	be	AUX
ijassa-806	68	7	done	do	VERB
ijassa-806	68	8	according	accord	VERB
ijassa-806	68	9	to	to	ADP
ijassa-806	68	10	the	the	DET
ijassa-806	68	11	following	follow	VERB
ijassa-806	68	12	equation	equation	NOUN
ijassa-806	68	13	(	(	PUNCT
ijassa-806	68	14	2.4	2.4	NUM
ijassa-806	68	15	):	):	PUNCT
ijassa-806	68	16	gad	gad	PROPN
ijassa-806	68	17	(	(	PUNCT
ijassa-806	68	18	mad1	mad1	PROPN
ijassa-806	68	19	,	,	PUNCT
ijassa-806	68	20	...	...	PUNCT
ijassa-806	68	21	,	,	PUNCT
ijassa-806	68	22	madd	madd	ADJ
ijassa-806	68	23	)	)	PUNCT
ijassa-806	68	24	=	=	PUNCT
ijassa-806	68	25			X
ijassa-806	68	26	t	t	PROPN
ijassa-806	68	27	(	(	PUNCT
ijassa-806	68	28	mad1	mad1	PROPN
ijassa-806	68	29	,	,	PUNCT
ijassa-806	68	30	...	...	PUNCT
ijassa-806	68	31	,	,	PUNCT
ijassa-806	68	32	madd	madd	PROPN
ijassa-806	68	33	)	)	PUNCT
ijassa-806	68	34	+	+	CCONJ
ijassa-806	68	35	(	(	PUNCT
ijassa-806	68	36	1	1	NUM
ijassa-806	68	37	-	-	SYM
ijassa-806	68	38	s	s	NOUN
ijassa-806	68	39	)	)	PUNCT
ijassa-806	68	40	(	(	PUNCT
ijassa-806	68	41	mad1	mad1	PROPN
ijassa-806	68	42	,	,	PUNCT
ijassa-806	68	43	...	...	PUNCT
ijassa-806	68	44	,	,	PUNCT
ijassa-806	68	45	madd	madd	PROPN
ijassa-806	68	46	)	)	PUNCT
ijassa-806	68	47	,	,	PUNCT
ijassa-806	68	48	(	(	PUNCT
ijassa-806	68	49	2.4	2.4	NUM
ijassa-806	68	50	)	)	PUNCT
ijassa-806	68	51	where	where	SCONJ
ijassa-806	68	52	t	t	PROPN
ijassa-806	68	53	is	be	AUX
ijassa-806	68	54	the	the	DET
ijassa-806	68	55	t	t	NOUN
ijassa-806	68	56	-	-	PUNCT
ijassa-806	68	57	norm	norm	NOUN
ijassa-806	68	58	connector	connector	NOUN
ijassa-806	68	59	(	(	PUNCT
ijassa-806	68	60	intersection	intersection	NOUN
ijassa-806	68	61	)	)	PUNCT
ijassa-806	68	62	,	,	PUNCT
ijassa-806	68	63	s	s	VERB
ijassa-806	68	64	is	be	AUX
ijassa-806	68	65	the	the	DET
ijassa-806	68	66	t	t	NOUN
ijassa-806	68	67	-	-	PUNCT
ijassa-806	68	68	conorm	conorm	NOUN
ijassa-806	68	69	connector	connector	NOUN
ijassa-806	68	70	(	(	PUNCT
ijassa-806	68	71	union	union	NOUN
ijassa-806	68	72	)	)	PUNCT
ijassa-806	68	73	,	,	PUNCT
ijassa-806	68	74	α	α	PROPN
ijassa-806	68	75	is	be	AUX
ijassa-806	68	76	the	the	DET
ijassa-806	68	77	exigency	exigency	PROPN
ijassa-806	68	78	index	index	NOUN
ijassa-806	68	79			NOUN
ijassa-806	68	80	[	[	X
ijassa-806	68	81	0,1	0,1	NUM
ijassa-806	68	82	]	]	PUNCT
ijassa-806	68	83	.	.	PUNCT
ijassa-806	69	1	an	an	DET
ijassa-806	69	2	important	important	ADJ
ijassa-806	69	3	feature	feature	NOUN
ijassa-806	69	4	of	of	ADP
ijassa-806	69	5	the	the	DET
ijassa-806	69	6	lamda	lamda	NOUN
ijassa-806	69	7	methodology	methodology	NOUN
ijassa-806	69	8	resides	reside	VERB
ijassa-806	69	9	in	in	ADP
ijassa-806	69	10	the	the	DET
ijassa-806	69	11	taking	taking	NOUN
ijassa-806	69	12	into	into	ADP
ijassa-806	69	13	account	account	NOUN
ijassa-806	69	14	of	of	ADP
ijassa-806	69	15	the	the	DET
ijassa-806	69	16	information	information	NOUN
ijassa-806	69	17	lack	lack	NOUN
ijassa-806	69	18	for	for	ADP
ijassa-806	69	19	indistinguishable	indistinguishable	ADJ
ijassa-806	69	20	elements	element	NOUN
ijassa-806	69	21	and	and	CCONJ
ijassa-806	69	22	in	in	ADP
ijassa-806	69	23	this	this	DET
ijassa-806	69	24	case	case	NOUN
ijassa-806	69	25	,	,	PUNCT
ijassa-806	69	26	a	a	DET
ijassa-806	69	27	non	non	X
ijassa-806	69	28	informative	informative	ADJ
ijassa-806	69	29	class	class	NOUN
ijassa-806	69	30	(	(	PUNCT
ijassa-806	69	31	nic	nic	PROPN
ijassa-806	69	32	)	)	PUNCT
ijassa-806	69	33	is	be	AUX
ijassa-806	69	34	created	create	VERB
ijassa-806	69	35	.	.	PUNCT
ijassa-806	70	1	the	the	DET
ijassa-806	70	2	exigency	exigency	PROPN
ijassa-806	70	3	parameter	parameter	NOUN
ijassa-806	70	4	measures	measure	NOUN
ijassa-806	70	5	affectation	affectation	NOUN
ijassa-806	70	6	of	of	ADP
ijassa-806	70	7	an	an	DET
ijassa-806	70	8	individual	individual	NOUN
ijassa-806	70	9	to	to	ADP
ijassa-806	70	10	a	a	DET
ijassa-806	70	11	class	class	NOUN
ijassa-806	70	12	.	.	PUNCT
ijassa-806	71	1	for	for	ADP
ijassa-806	71	2	α	α	NOUN
ijassa-806	71	3	=	=	SYM
ijassa-806	71	4	0	0	NUM
ijassa-806	71	5	,	,	PUNCT
ijassa-806	71	6	the	the	DET
ijassa-806	71	7	classification	classification	NOUN
ijassa-806	71	8	is	be	AUX
ijassa-806	71	9	not	not	PART
ijassa-806	71	10	exigent	exigent	ADJ
ijassa-806	71	11	and	and	CCONJ
ijassa-806	71	12	the	the	DET
ijassa-806	71	13	highest	high	ADJ
ijassa-806	71	14	requirement	requirement	NOUN
ijassa-806	71	15	is	be	AUX
ijassa-806	71	16	obtained	obtain	VERB
ijassa-806	71	17	for	for	ADP
ijassa-806	71	18	α	α	NOUN
ijassa-806	71	19	=	=	SYM
ijassa-806	71	20	1	1	NUM
ijassa-806	71	21	.	.	PUNCT
ijassa-806	72	1	so	so	ADV
ijassa-806	72	2	,	,	PUNCT
ijassa-806	72	3	increasing	increase	VERB
ijassa-806	72	4	the	the	DET
ijassa-806	72	5	value	value	NOUN
ijassa-806	72	6	α	α	NOUN
ijassa-806	72	7	implies	imply	VERB
ijassa-806	72	8	increasing	increase	VERB
ijassa-806	72	9	the	the	DET
ijassa-806	72	10	number	number	NOUN
ijassa-806	72	11	of	of	ADP
ijassa-806	72	12	elements	element	NOUN
ijassa-806	72	13	assigned	assign	VERB
ijassa-806	72	14	to	to	ADP
ijassa-806	72	15	the	the	DET
ijassa-806	72	16	nic	nic	PROPN
ijassa-806	73	1	[	[	X
ijassa-806	73	2	18	18	NUM
ijassa-806	73	3	]	]	PUNCT
ijassa-806	73	4	.	.	PUNCT
ijassa-806	74	1	we	we	PRON
ijassa-806	74	2	bring	bring	VERB
ijassa-806	74	3	the	the	DET
ijassa-806	74	4	nic	nic	PROPN
ijassa-806	74	5	notion	notion	NOUN
ijassa-806	74	6	closer	close	ADV
ijassa-806	74	7	to	to	ADP
ijassa-806	74	8	the	the	DET
ijassa-806	74	9	residual	residual	ADJ
ijassa-806	74	10	class	class	NOUN
ijassa-806	74	11	(	(	PUNCT
ijassa-806	74	12	rc	rc	NOUN
ijassa-806	74	13	)	)	PUNCT
ijassa-806	74	14	notion	notion	NOUN
ijassa-806	74	15	.	.	PUNCT
ijassa-806	75	1	indeed	indeed	ADV
ijassa-806	75	2	,	,	PUNCT
ijassa-806	75	3	in	in	ADP
ijassa-806	75	4	classification	classification	NOUN
ijassa-806	75	5	domain	domain	NOUN
ijassa-806	75	6	,	,	PUNCT
ijassa-806	75	7	introduction	introduction	NOUN
ijassa-806	75	8	of	of	ADP
ijassa-806	75	9	this	this	DET
ijassa-806	75	10	particular	particular	ADJ
ijassa-806	75	11	class	class	NOUN
ijassa-806	75	12	allows	allow	VERB
ijassa-806	75	13	considering	consider	VERB
ijassa-806	75	14	the	the	DET
ijassa-806	75	15	unclassified	unclassified	ADJ
ijassa-806	75	16	elements	element	NOUN
ijassa-806	75	17	:	:	PUNCT
ijassa-806	75	18	objects	object	NOUN
ijassa-806	75	19	not	not	PART
ijassa-806	75	20	belonged	belong	VERB
ijassa-806	75	21	to	to	ADP
ijassa-806	75	22	any	any	DET
ijassa-806	75	23	class	class	NOUN
ijassa-806	75	24	are	be	AUX
ijassa-806	75	25	assigned	assign	VERB
ijassa-806	75	26	to	to	ADP
ijassa-806	75	27	an	an	DET
ijassa-806	75	28	additional	additional	ADJ
ijassa-806	75	29	residual	residual	ADJ
ijassa-806	75	30	class	class	NOUN
ijassa-806	76	1	[	[	X
ijassa-806	76	2	32	32	NUM
ijassa-806	76	3	]	]	PUNCT
ijassa-806	76	4	.	.	PUNCT
ijassa-806	77	1	the	the	DET
ijassa-806	77	2	lamda	lamda	PROPN
ijassa-806	77	3	method	method	NOUN
ijassa-806	77	4	can	can	AUX
ijassa-806	77	5	adapt	adapt	VERB
ijassa-806	77	6	to	to	ADP
ijassa-806	77	7	a	a	DET
ijassa-806	77	8	situation	situation	NOUN
ijassa-806	77	9	evolving	evolve	VERB
ijassa-806	77	10	over	over	ADP
ijassa-806	77	11	time	time	NOUN
ijassa-806	77	12	,	,	PUNCT
ijassa-806	77	13	so	so	SCONJ
ijassa-806	77	14	it	it	PRON
ijassa-806	77	15	can	can	AUX
ijassa-806	77	16	handle	handle	VERB
ijassa-806	77	17	qualitative	qualitative	ADJ
ijassa-806	77	18	and	and	CCONJ
ijassa-806	77	19	quantitative	quantitative	ADJ
ijassa-806	77	20	variables	variable	NOUN
ijassa-806	77	21	simultaneously	simultaneously	ADV
ijassa-806	77	22	by	by	ADP
ijassa-806	77	23	using	use	VERB
ijassa-806	77	24	appropriate	appropriate	ADJ
ijassa-806	77	25	marginal	marginal	ADJ
ijassa-806	77	26	adequacy	adequacy	NOUN
ijassa-806	77	27	functions	function	NOUN
ijassa-806	77	28	.	.	PUNCT
ijassa-806	78	1	despite	despite	SCONJ
ijassa-806	78	2	this	this	DET
ijassa-806	78	3	property	property	NOUN
ijassa-806	78	4	,	,	PUNCT
ijassa-806	78	5	there	there	PRON
ijassa-806	78	6	is	be	VERB
ijassa-806	78	7	no	no	DET
ijassa-806	78	8	guarantee	guarantee	NOUN
ijassa-806	78	9	to	to	PART
ijassa-806	78	10	obtain	obtain	VERB
ijassa-806	78	11	the	the	DET
ijassa-806	78	12	best	good	ADJ
ijassa-806	78	13	partition	partition	NOUN
ijassa-806	78	14	as	as	SCONJ
ijassa-806	78	15	results	result	NOUN
ijassa-806	78	16	depend	depend	VERB
ijassa-806	78	17	on	on	ADP
ijassa-806	78	18	choice	choice	NOUN
ijassa-806	78	19	of	of	ADP
ijassa-806	78	20	the	the	DET
ijassa-806	78	21	connectives	connective	NOUN
ijassa-806	78	22	and	and	CCONJ
ijassa-806	78	23	the	the	DET
ijassa-806	78	24	exigency	exigency	PROPN
ijassa-806	78	25	index	index	NOUN
ijassa-806	78	26	.	.	PUNCT
ijassa-806	79	1	to	to	PART
ijassa-806	79	2	palliate	palliate	VERB
ijassa-806	79	3	of	of	ADP
ijassa-806	79	4	these	these	DET
ijassa-806	79	5	disadvantages	disadvantage	NOUN
ijassa-806	79	6	,	,	PUNCT
ijassa-806	79	7	the	the	DET
ijassa-806	79	8	proposed	propose	VERB
ijassa-806	79	9	solution	solution	NOUN
ijassa-806	79	10	in	in	ADP
ijassa-806	79	11	this	this	DET
ijassa-806	79	12	article	article	NOUN
ijassa-806	79	13	is	be	AUX
ijassa-806	79	14	introduction	introduction	NOUN
ijassa-806	79	15	of	of	ADP
ijassa-806	79	16	the	the	DET
ijassa-806	79	17	well	well	ADV
ijassa-806	79	18	-	-	PUNCT
ijassa-806	79	19	known	know	VERB
ijassa-806	79	20	k	k	PROPN
ijassa-806	79	21	-	-	PUNCT
ijassa-806	79	22	nn	nn	PROPN
ijassa-806	79	23	method	method	NOUN
ijassa-806	79	24	.	.	PUNCT
ijassa-806	80	1	2.2	2.2	NUM
ijassa-806	80	2	.	.	PUNCT
ijassa-806	81	1	k	k	PROPN
ijassa-806	81	2	-	-	PUNCT
ijassa-806	81	3	nn	nn	PROPN
ijassa-806	81	4	method	method	NOUN
ijassa-806	81	5	the	the	DET
ijassa-806	81	6	k	k	PROPN
ijassa-806	81	7	-	-	PUNCT
ijassa-806	81	8	nn	nn	PROPN
ijassa-806	81	9	method	method	NOUN
ijassa-806	81	10	is	be	AUX
ijassa-806	81	11	the	the	DET
ijassa-806	81	12	simplest	simple	ADJ
ijassa-806	81	13	and	and	CCONJ
ijassa-806	81	14	widely	widely	ADV
ijassa-806	81	15	used	use	VERB
ijassa-806	81	16	classifiers	classifier	NOUN
ijassa-806	81	17	[	[	X
ijassa-806	81	18	30,32	30,32	NUM
ijassa-806	81	19	]	]	PUNCT
ijassa-806	81	20	;	;	PUNCT
ijassa-806	81	21	it	it	PRON
ijassa-806	81	22	is	be	AUX
ijassa-806	81	23	a	a	DET
ijassa-806	81	24	powerful	powerful	ADJ
ijassa-806	81	25	tool	tool	NOUN
ijassa-806	81	26	for	for	ADP
ijassa-806	81	27	any	any	DET
ijassa-806	81	28	classification	classification	NOUN
ijassa-806	81	29	study	study	NOUN
ijassa-806	81	30	on	on	ADP
ijassa-806	81	31	unknown	unknown	ADJ
ijassa-806	81	32	specification	specification	NOUN
ijassa-806	81	33	about	about	ADP
ijassa-806	81	34	data	datum	NOUN
ijassa-806	81	35	distribution	distribution	NOUN
ijassa-806	81	36	.	.	PUNCT
ijassa-806	82	1	the	the	DET
ijassa-806	82	2	k	k	PROPN
ijassa-806	82	3	-	-	PUNCT
ijassa-806	82	4	nn	nn	PROPN
ijassa-806	82	5	118	118	NUM
ijassa-806	82	6	h.	h.	PROPN
ijassa-806	82	7	serradj	serradj	PROPN
ijassa-806	82	8	,	,	PUNCT
ijassa-806	82	9	m.	m.	NOUN
ijassa-806	82	10	noureddine	noureddine	ADP
ijassa-806	82	11	copyright	copyright	NOUN
ijassa-806	82	12	©	©	PROPN
ijassa-806	82	13	2023	2023	NUM
ijassa-806	82	14	assa	assa	PROPN
ijassa-806	82	15	adv	adv	PROPN
ijassa-806	82	16	.	.	PUNCT
ijassa-806	83	1	in	in	ADP
ijassa-806	83	2	systems	system	NOUN
ijassa-806	83	3	science	science	NOUN
ijassa-806	83	4	and	and	CCONJ
ijassa-806	83	5	appl	appl	NOUN
ijassa-806	83	6	.	.	PUNCT
ijassa-806	84	1	(	(	PUNCT
ijassa-806	84	2	2023	2023	NUM
ijassa-806	84	3	)	)	PUNCT
ijassa-806	84	4	method	method	NOUN
ijassa-806	84	5	uses	use	VERB
ijassa-806	84	6	two	two	NUM
ijassa-806	84	7	parameters	parameter	NOUN
ijassa-806	84	8	:	:	PUNCT
ijassa-806	84	9	the	the	DET
ijassa-806	84	10	number	number	NOUN
ijassa-806	84	11	k	k	PROPN
ijassa-806	84	12	and	and	CCONJ
ijassa-806	84	13	the	the	DET
ijassa-806	84	14	similarity	similarity	NOUN
ijassa-806	84	15	function	function	NOUN
ijassa-806	84	16	to	to	PART
ijassa-806	84	17	compare	compare	VERB
ijassa-806	84	18	new	new	ADJ
ijassa-806	84	19	case	case	NOUN
ijassa-806	84	20	with	with	ADP
ijassa-806	84	21	the	the	DET
ijassa-806	84	22	already	already	ADV
ijassa-806	84	23	classified	classified	ADJ
ijassa-806	84	24	cases	case	NOUN
ijassa-806	84	25	.	.	PUNCT
ijassa-806	85	1	the	the	DET
ijassa-806	85	2	k	k	PROPN
ijassa-806	85	3	-	-	PUNCT
ijassa-806	85	4	nn	nn	PROPN
ijassa-806	85	5	method	method	NOUN
ijassa-806	85	6	[	[	X
ijassa-806	85	7	30	30	NUM
ijassa-806	85	8	]	]	PUNCT
ijassa-806	85	9	follow	follow	VERB
ijassa-806	85	10	three	three	NUM
ijassa-806	85	11	actions	action	NOUN
ijassa-806	85	12	:	:	PUNCT
ijassa-806	85	13	calculate	calculate	VERB
ijassa-806	85	14	distances	distance	NOUN
ijassa-806	85	15	to	to	PART
ijassa-806	85	16	obtain	obtain	VERB
ijassa-806	85	17	a	a	DET
ijassa-806	85	18	learning	learning	NOUN
ijassa-806	85	19	base	base	NOUN
ijassa-806	85	20	,	,	PUNCT
ijassa-806	85	21	sort	sort	ADV
ijassa-806	85	22	to	to	PART
ijassa-806	85	23	have	have	VERB
ijassa-806	85	24	the	the	DET
ijassa-806	85	25	k	k	PROPN
ijassa-806	85	26	smallest	small	ADJ
ijassa-806	85	27	and	and	CCONJ
ijassa-806	85	28	choose	choose	VERB
ijassa-806	85	29	the	the	DET
ijassa-806	85	30	distance	distance	NOUN
ijassa-806	85	31	which	which	PRON
ijassa-806	85	32	belongs	belong	VERB
ijassa-806	85	33	to	to	ADP
ijassa-806	85	34	the	the	DET
ijassa-806	85	35	majority	majority	NOUN
ijassa-806	85	36	class	class	NOUN
ijassa-806	85	37	.	.	PUNCT
ijassa-806	86	1	the	the	DET
ijassa-806	86	2	similarity	similarity	NOUN
ijassa-806	86	3	function	function	NOUN
ijassa-806	86	4	which	which	PRON
ijassa-806	86	5	represents	represent	VERB
ijassa-806	86	6	distance	distance	NOUN
ijassa-806	86	7	between	between	ADP
ijassa-806	86	8	the	the	DET
ijassa-806	86	9	test	test	NOUN
ijassa-806	86	10	sample	sample	NOUN
ijassa-806	86	11	and	and	CCONJ
ijassa-806	86	12	the	the	DET
ijassa-806	86	13	training	training	NOUN
ijassa-806	86	14	data	data	NOUN
ijassa-806	86	15	samples	sample	NOUN
ijassa-806	86	16	,	,	PUNCT
ijassa-806	86	17	is	be	AUX
ijassa-806	86	18	paramount	paramount	ADJ
ijassa-806	86	19	to	to	ADP
ijassa-806	86	20	the	the	DET
ijassa-806	86	21	correct	correct	ADJ
ijassa-806	86	22	algorithm	algorithm	NOUN
ijassa-806	86	23	functioning	function	VERB
ijassa-806	86	24	.	.	PUNCT
ijassa-806	87	1	there	there	PRON
ijassa-806	87	2	are	be	VERB
ijassa-806	87	3	several	several	ADJ
ijassa-806	87	4	measures	measure	NOUN
ijassa-806	87	5	of	of	ADP
ijassa-806	87	6	distances	distance	NOUN
ijassa-806	87	7	,	,	PUNCT
ijassa-806	87	8	and	and	CCONJ
ijassa-806	87	9	the	the	DET
ijassa-806	87	10	most	most	ADV
ijassa-806	87	11	used	use	VERB
ijassa-806	87	12	is	be	AUX
ijassa-806	87	13	euclidean	euclidean	ADJ
ijassa-806	87	14	distance	distance	NOUN
ijassa-806	87	15	[	[	X
ijassa-806	87	16	30	30	NUM
ijassa-806	87	17	]	]	PUNCT
ijassa-806	87	18	,	,	PUNCT
ijassa-806	87	19	given	give	VERB
ijassa-806	87	20	by	by	ADP
ijassa-806	87	21	equation	equation	NOUN
ijassa-806	87	22	(	(	PUNCT
ijassa-806	87	23	2.5	2.5	NUM
ijassa-806	87	24	):	):	PUNCT
ijassa-806	87	25			X
ijassa-806	87	26			NUM
ijassa-806	87	27			PROPN
ijassa-806	88	1	n	n	CCONJ
ijassa-806	88	2	i	i	PRON
ijassa-806	88	3	yxyxd	yxyxd	VERB
ijassa-806	88	4	ii1	ii1	NOUN
ijassa-806	88	5	2	2	NUM
ijassa-806	88	6	)	)	PUNCT
ijassa-806	88	7	(	(	PUNCT
ijassa-806	88	8	)	)	PUNCT
ijassa-806	88	9	,	,	PUNCT
ijassa-806	88	10	(	(	PUNCT
ijassa-806	88	11	,	,	PUNCT
ijassa-806	88	12	(	(	PUNCT
ijassa-806	88	13	2.5	2.5	NUM
ijassa-806	88	14	)	)	PUNCT
ijassa-806	88	15	where	where	SCONJ
ijassa-806	88	16	xi	xi	PROPN
ijassa-806	88	17	and	and	CCONJ
ijassa-806	88	18	yi	yi	PROPN
ijassa-806	88	19	represent	represent	VERB
ijassa-806	88	20	coordinates	coordinate	NOUN
ijassa-806	88	21	of	of	ADP
ijassa-806	88	22	the	the	DET
ijassa-806	88	23	points	point	NOUN
ijassa-806	88	24	x	x	PUNCT
ijassa-806	88	25	and	and	CCONJ
ijassa-806	88	26	y.	y.	PROPN
ijassa-806	88	27	3	3	NUM
ijassa-806	88	28	.	.	PUNCT
ijassa-806	88	29	proposed	propose	VERB
ijassa-806	88	30	methodology	methodology	NOUN
ijassa-806	88	31	3.1	3.1	NUM
ijassa-806	88	32	.	.	PUNCT
ijassa-806	89	1	the	the	DET
ijassa-806	89	2	generic	generic	ADJ
ijassa-806	89	3	model	model	NOUN
ijassa-806	89	4	centralized	centralize	VERB
ijassa-806	89	5	approach	approach	NOUN
ijassa-806	89	6	is	be	AUX
ijassa-806	89	7	not	not	PART
ijassa-806	89	8	satisfying	satisfy	VERB
ijassa-806	89	9	for	for	ADP
ijassa-806	89	10	design	design	NOUN
ijassa-806	89	11	of	of	ADP
ijassa-806	89	12	diagnostic	diagnostic	ADJ
ijassa-806	89	13	method	method	NOUN
ijassa-806	89	14	dedicated	dedicate	VERB
ijassa-806	89	15	to	to	ADP
ijassa-806	89	16	systems	system	NOUN
ijassa-806	89	17	having	have	VERB
ijassa-806	89	18	a	a	DET
ijassa-806	89	19	distributed	distribute	VERB
ijassa-806	89	20	architecture	architecture	NOUN
ijassa-806	89	21	.	.	PUNCT
ijassa-806	90	1	so	so	ADV
ijassa-806	90	2	,	,	PUNCT
ijassa-806	90	3	distribution	distribution	NOUN
ijassa-806	90	4	notion	notion	NOUN
ijassa-806	90	5	of	of	ADP
ijassa-806	90	6	the	the	DET
ijassa-806	90	7	diagnosis	diagnosis	NOUN
ijassa-806	90	8	function	function	NOUN
ijassa-806	90	9	becomes	become	VERB
ijassa-806	90	10	essential	essential	ADJ
ijassa-806	90	11	.	.	PUNCT
ijassa-806	91	1	in	in	ADP
ijassa-806	91	2	this	this	DET
ijassa-806	91	3	context	context	NOUN
ijassa-806	91	4	,	,	PUNCT
ijassa-806	91	5	we	we	PRON
ijassa-806	91	6	propose	propose	VERB
ijassa-806	91	7	a	a	DET
ijassa-806	91	8	methodology	methodology	NOUN
ijassa-806	91	9	(	(	PUNCT
ijassa-806	91	10	fig	fig	NOUN
ijassa-806	91	11	.	.	PUNCT
ijassa-806	91	12	3.1	3.1	NUM
ijassa-806	91	13	)	)	PUNCT
ijassa-806	91	14	based	base	VERB
ijassa-806	91	15	on	on	ADP
ijassa-806	91	16	a	a	DET
ijassa-806	91	17	generic	generic	ADJ
ijassa-806	91	18	model	model	NOUN
ijassa-806	91	19	,	,	PUNCT
ijassa-806	91	20	carried	carry	VERB
ijassa-806	91	21	out	out	ADP
ijassa-806	91	22	in	in	ADP
ijassa-806	91	23	two	two	NUM
ijassa-806	91	24	modules	module	NOUN
ijassa-806	91	25	.	.	PUNCT
ijassa-806	92	1	fig	fig	NOUN
ijassa-806	92	2	.	.	PUNCT
ijassa-806	93	1	3.1	3.1	NUM
ijassa-806	93	2	.	.	PUNCT
ijassa-806	93	3	proposed	propose	VERB
ijassa-806	93	4	methodology	methodology	NOUN
ijassa-806	93	5	the	the	DET
ijassa-806	93	6	first	first	ADJ
ijassa-806	93	7	module	module	NOUN
ijassa-806	93	8	involves	involve	VERB
ijassa-806	93	9	aim	aim	VERB
ijassa-806	93	10	at	at	ADP
ijassa-806	93	11	the	the	DET
ijassa-806	93	12	distributed	distribute	VERB
ijassa-806	93	13	recovery	recovery	NOUN
ijassa-806	93	14	of	of	ADP
ijassa-806	93	15	signal	signal	NOUN
ijassa-806	93	16	and	and	CCONJ
ijassa-806	93	17	transformation	transformation	NOUN
ijassa-806	93	18	of	of	ADP
ijassa-806	93	19	this	this	DET
ijassa-806	93	20	signal	signal	NOUN
ijassa-806	93	21	via	via	ADP
ijassa-806	93	22	intelligent	intelligent	ADJ
ijassa-806	93	23	devices	device	NOUN
ijassa-806	93	24	,	,	PUNCT
ijassa-806	93	25	taking	take	VERB
ijassa-806	93	26	into	into	ADP
ijassa-806	93	27	account	account	NOUN
ijassa-806	93	28	communication	communication	NOUN
ijassa-806	93	29	between	between	ADP
ijassa-806	93	30	the	the	DET
ijassa-806	93	31	physically	physically	ADV
ijassa-806	93	32	distributed	distribute	VERB
ijassa-806	93	33	stations	station	NOUN
ijassa-806	93	34	.	.	PUNCT
ijassa-806	94	1	highlighting	highlight	VERB
ijassa-806	94	2	the	the	DET
ijassa-806	94	3	need	need	NOUN
ijassa-806	94	4	to	to	PART
ijassa-806	94	5	have	have	AUX
ijassa-806	94	6	a	a	DET
ijassa-806	94	7	model	model	NOUN
ijassa-806	94	8	representing	represent	VERB
ijassa-806	94	9	different	different	ADJ
ijassa-806	94	10	relationships	relationship	NOUN
ijassa-806	94	11	between	between	ADP
ijassa-806	94	12	generated	generate	VERB
ijassa-806	94	13	events	event	NOUN
ijassa-806	94	14	by	by	ADP
ijassa-806	94	15	the	the	DET
ijassa-806	94	16	studied	studied	ADJ
ijassa-806	94	17	system	system	NOUN
ijassa-806	94	18	,	,	PUNCT
ijassa-806	94	19	this	this	DET
ijassa-806	94	20	generic	generic	ADJ
ijassa-806	94	21	module	module	NOUN
ijassa-806	94	22	relies	rely	VERB
ijassa-806	94	23	either	either	CCONJ
ijassa-806	94	24	on	on	ADP
ijassa-806	94	25	existing	exist	VERB
ijassa-806	94	26	systems	system	NOUN
ijassa-806	94	27	like	like	ADP
ijassa-806	94	28	scada	scada	PROPN
ijassa-806	94	29	(	(	PUNCT
ijassa-806	94	30	supervisory	supervisory	ADJ
ijassa-806	94	31	control	control	NOUN
ijassa-806	94	32	and	and	CCONJ
ijassa-806	94	33	data	datum	NOUN
ijassa-806	94	34	acquisition	acquisition	NOUN
ijassa-806	94	35	)	)	PUNCT
ijassa-806	94	36	system	system	NOUN
ijassa-806	94	37	[	[	X
ijassa-806	94	38	6	6	NUM
ijassa-806	94	39	,	,	PUNCT
ijassa-806	94	40	15	15	NUM
ijassa-806	94	41	]	]	PUNCT
ijassa-806	94	42	or	or	CCONJ
ijassa-806	94	43	on	on	ADP
ijassa-806	94	44	systems	system	NOUN
ijassa-806	94	45	dedicated	dedicate	VERB
ijassa-806	94	46	to	to	ADP
ijassa-806	94	47	particular	particular	ADJ
ijassa-806	94	48	domains	domain	NOUN
ijassa-806	94	49	.	.	PUNCT
ijassa-806	95	1	distributed	distribute	VERB
ijassa-806	95	2	diagnosis	diagnosis	NOUN
ijassa-806	95	3	distributed	distribute	VERB
ijassa-806	95	4	recovery	recovery	NOUN
ijassa-806	95	5	recover	recover	VERB
ijassa-806	95	6	classification	classification	NOUN
ijassa-806	95	7	algorithm	algorithm	NOUN
ijassa-806	95	8	stations	station	NOUN
ijassa-806	95	9	physically	physically	ADV
ijassa-806	95	10	distributed	distribute	VERB
ijassa-806	95	11	system	system	NOUN
ijassa-806	95	12	to	to	PART
ijassa-806	95	13	study	study	VERB
ijassa-806	95	14	:	:	PUNCT
ijassa-806	95	15	des	des	X
ijassa-806	95	16	signal	signal	PROPN
ijassa-806	95	17	recovered	recover	VERB
ijassa-806	95	18	station	station	NOUN
ijassa-806	95	19	1	1	NUM
ijassa-806	95	20	station	station	NOUN
ijassa-806	95	21	2	2	NUM
ijassa-806	95	22	station	station	NOUN
ijassa-806	95	23	n	n	PRON
ijassa-806	95	24	classification	classification	NOUN
ijassa-806	95	25	of	of	ADP
ijassa-806	95	26	failures	failure	NOUN
ijassa-806	95	27	learning	learn	VERB
ijassa-806	95	28	methods	method	NOUN
ijassa-806	95	29	for	for	ADP
ijassa-806	95	30	distributed	distributed	ADJ
ijassa-806	95	31	diagnosis	diagnosis	NOUN
ijassa-806	95	32	…	…	PUNCT
ijassa-806	95	33	119	119	NUM
ijassa-806	95	34	copyright	copyright	NOUN
ijassa-806	95	35	©	©	PROPN
ijassa-806	95	36	2023	2023	NUM
ijassa-806	95	37	assa	assa	NOUN
ijassa-806	95	38	.	.	PUNCT
ijassa-806	96	1	adv	adv	PROPN
ijassa-806	96	2	.	.	PUNCT
ijassa-806	97	1	in	in	ADP
ijassa-806	97	2	systems	system	NOUN
ijassa-806	97	3	science	science	NOUN
ijassa-806	97	4	and	and	CCONJ
ijassa-806	97	5	appl	appl	NOUN
ijassa-806	97	6	.	.	PUNCT
ijassa-806	98	1	(	(	PUNCT
ijassa-806	98	2	2023	2023	NUM
ijassa-806	98	3	)	)	PUNCT
ijassa-806	98	4	second	second	ADJ
ijassa-806	98	5	module	module	NOUN
ijassa-806	98	6	is	be	AUX
ijassa-806	98	7	the	the	DET
ijassa-806	98	8	main	main	ADJ
ijassa-806	98	9	issue	issue	NOUN
ijassa-806	98	10	of	of	ADP
ijassa-806	98	11	the	the	DET
ijassa-806	98	12	article	article	NOUN
ijassa-806	98	13	;	;	PUNCT
ijassa-806	98	14	it	it	PRON
ijassa-806	98	15	consists	consist	VERB
ijassa-806	98	16	in	in	ADP
ijassa-806	98	17	providing	provide	VERB
ijassa-806	98	18	a	a	DET
ijassa-806	98	19	diagnosis	diagnosis	NOUN
ijassa-806	98	20	aid	aid	NOUN
ijassa-806	98	21	based	base	VERB
ijassa-806	98	22	on	on	ADP
ijassa-806	98	23	recovered	recovered	ADJ
ijassa-806	98	24	signal	signal	NOUN
ijassa-806	98	25	analysis	analysis	NOUN
ijassa-806	98	26	by	by	ADP
ijassa-806	98	27	integrating	integrate	VERB
ijassa-806	98	28	an	an	DET
ijassa-806	98	29	improved	improved	ADJ
ijassa-806	98	30	classification	classification	NOUN
ijassa-806	98	31	algorithm	algorithm	NOUN
ijassa-806	98	32	through	through	ADP
ijassa-806	98	33	two	two	NUM
ijassa-806	98	34	learning	learning	NOUN
ijassa-806	98	35	paradigms	paradigm	NOUN
ijassa-806	98	36	.	.	PUNCT
ijassa-806	99	1	the	the	DET
ijassa-806	99	2	first	first	ADJ
ijassa-806	99	3	one	one	NUM
ijassa-806	99	4	is	be	AUX
ijassa-806	99	5	based	base	VERB
ijassa-806	99	6	on	on	ADP
ijassa-806	99	7	fuzzy	fuzzy	ADJ
ijassa-806	99	8	logic	logic	NOUN
ijassa-806	99	9	and	and	CCONJ
ijassa-806	99	10	more	more	ADV
ijassa-806	99	11	particularly	particularly	ADV
ijassa-806	99	12	lamda	lamda	ADJ
ijassa-806	99	13	method	method	NOUN
ijassa-806	99	14	and	and	CCONJ
ijassa-806	99	15	the	the	DET
ijassa-806	99	16	other	other	ADJ
ijassa-806	99	17	one	one	NUM
ijassa-806	99	18	uses	use	VERB
ijassa-806	99	19	k	k	PROPN
ijassa-806	99	20	-	-	PUNCT
ijassa-806	99	21	nn	nn	NUM
ijassa-806	99	22	method	method	NOUN
ijassa-806	99	23	.	.	PUNCT
ijassa-806	100	1	the	the	DET
ijassa-806	100	2	aim	aim	NOUN
ijassa-806	100	3	is	be	AUX
ijassa-806	100	4	giving	give	VERB
ijassa-806	100	5	the	the	DET
ijassa-806	100	6	operator	operator	NOUN
ijassa-806	100	7	an	an	DET
ijassa-806	100	8	orientation	orientation	NOUN
ijassa-806	100	9	to	to	PART
ijassa-806	100	10	know	know	VERB
ijassa-806	100	11	better	well	ADJ
ijassa-806	100	12	the	the	DET
ijassa-806	100	13	real	real	ADJ
ijassa-806	100	14	situation	situation	NOUN
ijassa-806	100	15	of	of	ADP
ijassa-806	100	16	the	the	DET
ijassa-806	100	17	system	system	NOUN
ijassa-806	100	18	in	in	ADP
ijassa-806	100	19	order	order	NOUN
ijassa-806	100	20	to	to	PART
ijassa-806	100	21	make	make	VERB
ijassa-806	100	22	the	the	DET
ijassa-806	100	23	right	right	ADJ
ijassa-806	100	24	decision	decision	NOUN
ijassa-806	100	25	concerning	concern	VERB
ijassa-806	100	26	a	a	DET
ijassa-806	100	27	specific	specific	ADJ
ijassa-806	100	28	failure	failure	NOUN
ijassa-806	100	29	.	.	PUNCT
ijassa-806	101	1	3.2	3.2	NUM
ijassa-806	101	2	.	.	PUNCT
ijassa-806	102	1	the	the	DET
ijassa-806	102	2	classification	classification	NOUN
ijassa-806	102	3	algorithm	algorithm	NOUN
ijassa-806	102	4	as	as	SCONJ
ijassa-806	102	5	already	already	ADV
ijassa-806	102	6	mentioned	mention	VERB
ijassa-806	102	7	,	,	PUNCT
ijassa-806	102	8	the	the	DET
ijassa-806	102	9	proposed	propose	VERB
ijassa-806	102	10	classification	classification	NOUN
ijassa-806	102	11	algorithm	algorithm	NOUN
ijassa-806	102	12	involves	involve	VERB
ijassa-806	102	13	two	two	NUM
ijassa-806	102	14	principles	principle	NOUN
ijassa-806	102	15	;	;	PUNCT
ijassa-806	102	16	the	the	DET
ijassa-806	102	17	first	first	ADJ
ijassa-806	102	18	is	be	AUX
ijassa-806	102	19	the	the	DET
ijassa-806	102	20	lamda	lamda	NOUN
ijassa-806	102	21	method	method	NOUN
ijassa-806	102	22	application	application	NOUN
ijassa-806	102	23	,	,	PUNCT
ijassa-806	102	24	giving	give	VERB
ijassa-806	102	25	classified	classified	ADJ
ijassa-806	102	26	elements	element	NOUN
ijassa-806	102	27	and	and	CCONJ
ijassa-806	102	28	indistinguishable	indistinguishable	ADJ
ijassa-806	102	29	elements	element	NOUN
ijassa-806	102	30	affected	affect	VERB
ijassa-806	102	31	to	to	ADP
ijassa-806	102	32	a	a	DET
ijassa-806	102	33	specific	specific	ADJ
ijassa-806	102	34	class	class	NOUN
ijassa-806	102	35	(	(	PUNCT
ijassa-806	102	36	nic	nic	PROPN
ijassa-806	102	37	)	)	PUNCT
ijassa-806	102	38	.	.	PUNCT
ijassa-806	103	1	these	these	DET
ijassa-806	103	2	last	last	ADJ
ijassa-806	103	3	elements	element	NOUN
ijassa-806	103	4	are	be	AUX
ijassa-806	103	5	reclassified	reclassify	VERB
ijassa-806	103	6	using	use	VERB
ijassa-806	103	7	the	the	DET
ijassa-806	103	8	principle	principle	NOUN
ijassa-806	103	9	of	of	ADP
ijassa-806	103	10	k	k	PROPN
ijassa-806	103	11	nearest	near	ADJ
ijassa-806	103	12	neighbors	neighbor	NOUN
ijassa-806	103	13	in	in	ADP
ijassa-806	103	14	order	order	NOUN
ijassa-806	103	15	to	to	PART
ijassa-806	103	16	correct	correct	VERB
ijassa-806	103	17	the	the	DET
ijassa-806	103	18	obtained	obtain	VERB
ijassa-806	103	19	classification	classification	NOUN
ijassa-806	103	20	.	.	PUNCT
ijassa-806	104	1	this	this	DET
ijassa-806	104	2	article	article	NOUN
ijassa-806	104	3	studies	study	VERB
ijassa-806	104	4	influence	influence	NOUN
ijassa-806	104	5	of	of	ADP
ijassa-806	104	6	the	the	DET
ijassa-806	104	7	k	k	PROPN
ijassa-806	104	8	-	-	PUNCT
ijassa-806	104	9	nn	nn	ADJ
ijassa-806	104	10	algorithm	algorithm	NOUN
ijassa-806	104	11	integration	integration	NOUN
ijassa-806	104	12	in	in	ADP
ijassa-806	104	13	the	the	DET
ijassa-806	104	14	recognition	recognition	NOUN
ijassa-806	104	15	part	part	NOUN
ijassa-806	104	16	of	of	ADP
ijassa-806	104	17	the	the	DET
ijassa-806	104	18	lamda	lamda	NOUN
ijassa-806	104	19	method	method	NOUN
ijassa-806	104	20	,	,	PUNCT
ijassa-806	104	21	in	in	ADP
ijassa-806	104	22	particular	particular	ADJ
ijassa-806	104	23	by	by	ADP
ijassa-806	104	24	the	the	DET
ijassa-806	104	25	studying	study	VERB
ijassa-806	104	26	non	non	NOUN
ijassa-806	104	27	classed	class	VERB
ijassa-806	104	28	elements	element	NOUN
ijassa-806	104	29	.	.	PUNCT
ijassa-806	105	1	these	these	DET
ijassa-806	105	2	individuals	individual	NOUN
ijassa-806	105	3	are	be	AUX
ijassa-806	105	4	in	in	ADP
ijassa-806	105	5	the	the	DET
ijassa-806	105	6	residual	residual	ADJ
ijassa-806	105	7	class	class	NOUN
ijassa-806	105	8	which	which	PRON
ijassa-806	105	9	has	have	VERB
ijassa-806	105	10	the	the	DET
ijassa-806	105	11	same	same	ADJ
ijassa-806	105	12	characteristics	characteristic	NOUN
ijassa-806	105	13	as	as	ADP
ijassa-806	105	14	the	the	DET
ijassa-806	105	15	non	non	ADJ
ijassa-806	105	16	informative	informative	ADJ
ijassa-806	105	17	class	class	NOUN
ijassa-806	105	18	.	.	PUNCT
ijassa-806	106	1	obtained	obtain	VERB
ijassa-806	106	2	results	result	NOUN
ijassa-806	106	3	are	be	AUX
ijassa-806	106	4	compared	compare	VERB
ijassa-806	106	5	with	with	ADP
ijassa-806	106	6	the	the	DET
ijassa-806	106	7	supervised	supervised	ADJ
ijassa-806	106	8	part	part	NOUN
ijassa-806	106	9	of	of	ADP
ijassa-806	106	10	the	the	DET
ijassa-806	106	11	method	method	NOUN
ijassa-806	106	12	using	use	VERB
ijassa-806	106	13	same	same	ADJ
ijassa-806	106	14	parameters	parameter	NOUN
ijassa-806	106	15	chosen	choose	VERB
ijassa-806	106	16	by	by	ADP
ijassa-806	106	17	the	the	DET
ijassa-806	106	18	operator	operator	NOUN
ijassa-806	106	19	to	to	PART
ijassa-806	106	20	have	have	VERB
ijassa-806	106	21	the	the	DET
ijassa-806	106	22	correct	correct	ADJ
ijassa-806	106	23	classification	classification	NOUN
ijassa-806	106	24	.	.	PUNCT
ijassa-806	107	1	the	the	DET
ijassa-806	107	2	general	general	ADJ
ijassa-806	107	3	algorithm	algorithm	NOUN
ijassa-806	107	4	of	of	ADP
ijassa-806	107	5	classification	classification	NOUN
ijassa-806	107	6	integrates	integrate	VERB
ijassa-806	107	7	the	the	DET
ijassa-806	107	8	following	follow	VERB
ijassa-806	107	9	steps	step	NOUN
ijassa-806	107	10	for	for	ADP
ijassa-806	107	11	an	an	DET
ijassa-806	107	12	element	element	NOUN
ijassa-806	107	13	x	x	NOUN
ijassa-806	107	14	,	,	PUNCT
ijassa-806	107	15	described	describe	VERB
ijassa-806	107	16	by	by	ADP
ijassa-806	107	17	1	1	NUM
ijassa-806	107	18	to	to	ADP
ijassa-806	107	19	d	d	NOUN
ijassa-806	107	20	descriptors	descriptor	NOUN
ijassa-806	107	21	.	.	PUNCT
ijassa-806	108	1	we	we	PRON
ijassa-806	108	2	included	include	VERB
ijassa-806	108	3	data	datum	NOUN
ijassa-806	108	4	preprocessing	preprocessing	NOUN
ijassa-806	108	5	to	to	PART
ijassa-806	108	6	have	have	AUX
ijassa-806	108	7	normalized	normalize	VERB
ijassa-806	108	8	values	value	NOUN
ijassa-806	108	9	of	of	ADP
ijassa-806	108	10	descriptors	descriptor	NOUN
ijassa-806	108	11	.	.	PUNCT
ijassa-806	109	1	complete	complete	ADJ
ijassa-806	109	2	classification	classification	NOUN
ijassa-806	109	3	algorithm	algorithm	NOUN
ijassa-806	109	4	:	:	PUNCT
ijassa-806	109	5	input	input	NOUN
ijassa-806	109	6	:	:	PUNCT
ijassa-806	109	7	a	a	DET
ijassa-806	109	8	sequence	sequence	NOUN
ijassa-806	109	9	of	of	ADP
ijassa-806	109	10	elements	element	NOUN
ijassa-806	109	11	x	x	PUNCT
ijassa-806	109	12	/	/	SYM
ijassa-806	109	13	x	x	SYM
ijassa-806	109	14	=	=	SYM
ijassa-806	109	15	x'1	x'1	PROPN
ijassa-806	109	16	,	,	PUNCT
ijassa-806	109	17	x'2	x'2	PROPN
ijassa-806	109	18	,	,	PUNCT
ijassa-806	109	19	...	...	PUNCT
ijassa-806	109	20	,	,	PUNCT
ijassa-806	109	21	x'd	x'd	ADV
ijassa-806	109	22	step	step	VERB
ijassa-806	109	23	1	1	NUM
ijassa-806	109	24	:	:	PUNCT
ijassa-806	109	25	normalization	normalization	NOUN
ijassa-806	109	26	of	of	ADP
ijassa-806	109	27	each	each	DET
ijassa-806	109	28	element	element	NOUN
ijassa-806	109	29	using	use	VERB
ijassa-806	109	30	equation	equation	NOUN
ijassa-806	109	31	(	(	PUNCT
ijassa-806	109	32	2.3	2.3	NUM
ijassa-806	109	33	)	)	PUNCT
ijassa-806	109	34	giving	give	VERB
ijassa-806	109	35	x	x	PUNCT
ijassa-806	109	36	/	/	SYM
ijassa-806	109	37	x	x	SYM
ijassa-806	109	38	=	=	SYM
ijassa-806	109	39	x1	x1	PROPN
ijassa-806	109	40	,	,	PUNCT
ijassa-806	109	41	x2	x2	PROPN
ijassa-806	109	42	,	,	PUNCT
ijassa-806	109	43	...	...	PUNCT
ijassa-806	109	44	,	,	PUNCT
ijassa-806	109	45	xd	xd	ADP
ijassa-806	109	46	such	such	ADJ
ijassa-806	109	47	as	as	SCONJ
ijassa-806	109	48	xj	xj	PROPN
ijassa-806	109	49	is	be	AUX
ijassa-806	109	50	a	a	DET
ijassa-806	109	51	normalized	normalize	VERB
ijassa-806	109	52	value	value	NOUN
ijassa-806	109	53	.	.	PUNCT
ijassa-806	110	1	step	step	NOUN
ijassa-806	110	2	2	2	NUM
ijassa-806	110	3	:	:	PUNCT
ijassa-806	110	4	for	for	ADP
ijassa-806	110	5	each	each	DET
ijassa-806	110	6	element	element	NOUN
ijassa-806	110	7	x	x	NOUN
ijassa-806	110	8	,	,	PUNCT
ijassa-806	110	9	calculate	calculate	VERB
ijassa-806	110	10	the	the	DET
ijassa-806	110	11	mad(xj	mad(xj	NOUN
ijassa-806	110	12	/	/	SYM
ijassa-806	110	13	ck	ck	NOUN
ijassa-806	110	14	)	)	PUNCT
ijassa-806	110	15	with	with	ADP
ijassa-806	110	16	regard	regard	NOUN
ijassa-806	110	17	to	to	ADP
ijassa-806	110	18	class	class	NOUN
ijassa-806	110	19	ck	ck	ADV
ijassa-806	110	20	using	use	VERB
ijassa-806	110	21	the	the	DET
ijassa-806	110	22	functions	function	NOUN
ijassa-806	110	23	lamda	lamda	VERB
ijassa-806	110	24	1	1	NUM
ijassa-806	110	25	or	or	CCONJ
ijassa-806	110	26	lamda	lamda	VERB
ijassa-806	110	27	2	2	NUM
ijassa-806	110	28	through	through	ADP
ijassa-806	110	29	the	the	DET
ijassa-806	110	30	equations	equation	NOUN
ijassa-806	110	31	(	(	PUNCT
ijassa-806	110	32	2.1	2.1	NUM
ijassa-806	110	33	)	)	PUNCT
ijassa-806	110	34	and	and	CCONJ
ijassa-806	110	35	(	(	PUNCT
ijassa-806	110	36	2.2	2.2	NUM
ijassa-806	110	37	)	)	PUNCT
ijassa-806	110	38	.	.	PUNCT
ijassa-806	111	1	step	step	NOUN
ijassa-806	111	2	3	3	NUM
ijassa-806	111	3	:	:	PUNCT
ijassa-806	111	4	calculate	calculate	VERB
ijassa-806	111	5	the	the	DET
ijassa-806	111	6	gad(x	gad(x	PROPN
ijassa-806	111	7	/	/	SYM
ijassa-806	111	8	ck	ck	NOUN
ijassa-806	111	9	)	)	PUNCT
ijassa-806	111	10	for	for	ADP
ijassa-806	111	11	the	the	DET
ijassa-806	111	12	element	element	NOUN
ijassa-806	111	13	x	x	ADP
ijassa-806	111	14	using	use	VERB
ijassa-806	111	15	the	the	DET
ijassa-806	111	16	equation	equation	NOUN
ijassa-806	111	17	(	(	PUNCT
ijassa-806	111	18	2.4	2.4	NUM
ijassa-806	111	19	)	)	PUNCT
ijassa-806	111	20	.	.	PUNCT
ijassa-806	112	1	step	step	NOUN
ijassa-806	112	2	4	4	NUM
ijassa-806	112	3	:	:	PUNCT
ijassa-806	112	4	select	select	VERB
ijassa-806	112	5	the	the	DET
ijassa-806	112	6	maximal	maximal	ADJ
ijassa-806	112	7	value	value	NOUN
ijassa-806	112	8	of	of	ADP
ijassa-806	112	9	gadi	gadi	NOUN
ijassa-806	112	10	.	.	PUNCT
ijassa-806	113	1	step	step	NOUN
ijassa-806	113	2	5	5	NUM
ijassa-806	113	3	:	:	PUNCT
ijassa-806	113	4	assignment	assignment	VERB
ijassa-806	113	5	the	the	DET
ijassa-806	113	6	element	element	NOUN
ijassa-806	113	7	x	x	X
ijassa-806	113	8	to	to	ADP
ijassa-806	113	9	the	the	DET
ijassa-806	113	10	class	class	NOUN
ijassa-806	113	11	ci	ci	PROPN
ijassa-806	113	12	.	.	PUNCT
ijassa-806	114	1	if	if	SCONJ
ijassa-806	114	2	an	an	DET
ijassa-806	114	3	element	element	NOUN
ijassa-806	114	4	has	have	VERB
ijassa-806	114	5	low	low	ADJ
ijassa-806	114	6	membership	membership	NOUN
ijassa-806	114	7	in	in	ADP
ijassa-806	114	8	all	all	DET
ijassa-806	114	9	existing	exist	VERB
ijassa-806	114	10	classes	class	NOUN
ijassa-806	114	11	,	,	PUNCT
ijassa-806	114	12	this	this	DET
ijassa-806	114	13	element	element	NOUN
ijassa-806	114	14	is	be	AUX
ijassa-806	114	15	affected	affect	VERB
ijassa-806	114	16	to	to	ADP
ijassa-806	114	17	the	the	DET
ijassa-806	114	18	nic	nic	PROPN
ijassa-806	114	19	.	.	PUNCT
ijassa-806	115	1	these	these	DET
ijassa-806	115	2	steps	step	NOUN
ijassa-806	115	3	are	be	AUX
ijassa-806	115	4	issued	issue	VERB
ijassa-806	115	5	from	from	ADP
ijassa-806	115	6	the	the	DET
ijassa-806	115	7	lamda	lamda	NOUN
ijassa-806	115	8	method	method	NOUN
ijassa-806	115	9	.	.	PUNCT
ijassa-806	116	1	at	at	ADP
ijassa-806	116	2	the	the	DET
ijassa-806	116	3	end	end	NOUN
ijassa-806	116	4	of	of	ADP
ijassa-806	116	5	the	the	DET
ijassa-806	116	6	5th	5th	ADJ
ijassa-806	116	7	stage	stage	NOUN
ijassa-806	116	8	,	,	PUNCT
ijassa-806	116	9	a	a	DET
ijassa-806	116	10	first	first	ADJ
ijassa-806	116	11	ranking	ranking	NOUN
ijassa-806	116	12	is	be	AUX
ijassa-806	116	13	obtained	obtain	VERB
ijassa-806	116	14	according	accord	VERB
ijassa-806	116	15	to	to	ADP
ijassa-806	116	16	different	different	ADJ
ijassa-806	116	17	classes	class	NOUN
ijassa-806	116	18	and	and	CCONJ
ijassa-806	116	19	the	the	DET
ijassa-806	116	20	non	non	ADJ
ijassa-806	116	21	informative	informative	ADJ
ijassa-806	116	22	class	class	NOUN
ijassa-806	116	23	.	.	PUNCT
ijassa-806	117	1	the	the	DET
ijassa-806	117	2	next	next	ADJ
ijassa-806	117	3	steps	step	NOUN
ijassa-806	117	4	introduce	introduce	VERB
ijassa-806	117	5	the	the	DET
ijassa-806	117	6	k	k	PROPN
ijassa-806	117	7	-	-	PUNCT
ijassa-806	117	8	nn	nn	ADJ
ijassa-806	117	9	method	method	NOUN
ijassa-806	117	10	and	and	CCONJ
ijassa-806	117	11	let	let	VERB
ijassa-806	117	12	us	we	PRON
ijassa-806	117	13	considering	consider	VERB
ijassa-806	117	14	the	the	DET
ijassa-806	117	15	nic	nic	PROPN
ijassa-806	117	16	as	as	ADP
ijassa-806	117	17	residual	residual	ADJ
ijassa-806	117	18	class	class	NOUN
ijassa-806	117	19	(	(	PUNCT
ijassa-806	117	20	rc	rc	PROPN
ijassa-806	117	21	)	)	PUNCT
ijassa-806	117	22	.	.	PUNCT
ijassa-806	118	1	step	step	NOUN
ijassa-806	118	2	6	6	NUM
ijassa-806	118	3	:	:	PUNCT
ijassa-806	118	4	choose	choose	VERB
ijassa-806	118	5	a	a	DET
ijassa-806	118	6	value	value	NOUN
ijassa-806	118	7	for	for	ADP
ijassa-806	118	8	k.	k.	NOUN
ijassa-806	118	9	step	step	PROPN
ijassa-806	118	10	7	7	NUM
ijassa-806	118	11	:	:	PUNCT
ijassa-806	118	12	for	for	ADP
ijassa-806	118	13	each	each	DET
ijassa-806	118	14	element	element	NOUN
ijassa-806	118	15	x	x	PROPN
ijassa-806	118	16	of	of	ADP
ijassa-806	118	17	rc	rc	PROPN
ijassa-806	118	18	,	,	PUNCT
ijassa-806	118	19	calculate	calculate	NOUN
ijassa-806	118	20	distance	distance	NOUN
ijassa-806	118	21	(	(	PUNCT
ijassa-806	118	22	equation	equation	NOUN
ijassa-806	118	23	2.5	2.5	NUM
ijassa-806	118	24	)	)	PUNCT
ijassa-806	118	25	between	between	ADP
ijassa-806	118	26	the	the	DET
ijassa-806	118	27	individual	individual	NOUN
ijassa-806	118	28	of	of	ADP
ijassa-806	118	29	the	the	DET
ijassa-806	118	30	rc	rc	PROPN
ijassa-806	118	31	and	and	CCONJ
ijassa-806	118	32	these	these	DET
ijassa-806	118	33	neighbors	neighbor	NOUN
ijassa-806	118	34	.	.	PUNCT
ijassa-806	119	1	output	output	NOUN
ijassa-806	119	2	:	:	PUNCT
ijassa-806	119	3	classification	classification	NOUN
ijassa-806	119	4	of	of	ADP
ijassa-806	119	5	all	all	DET
ijassa-806	119	6	elements	element	NOUN
ijassa-806	119	7	x.	x.	NOUN
ijassa-806	119	8	by	by	ADP
ijassa-806	119	9	application	application	NOUN
ijassa-806	119	10	of	of	ADP
ijassa-806	119	11	this	this	DET
ijassa-806	119	12	methodology	methodology	NOUN
ijassa-806	119	13	,	,	PUNCT
ijassa-806	119	14	a	a	DET
ijassa-806	119	15	final	final	ADJ
ijassa-806	119	16	ranking	ranking	NOUN
ijassa-806	119	17	is	be	AUX
ijassa-806	119	18	obtained	obtain	VERB
ijassa-806	119	19	with	with	ADP
ijassa-806	119	20	corrected	correct	VERB
ijassa-806	119	21	classes	class	NOUN
ijassa-806	119	22	where	where	SCONJ
ijassa-806	119	23	all	all	DET
ijassa-806	119	24	elements	element	NOUN
ijassa-806	119	25	are	be	AUX
ijassa-806	119	26	classified	classified	ADJ
ijassa-806	119	27	.	.	PUNCT
ijassa-806	120	1	4	4	X
ijassa-806	120	2	.	.	X
ijassa-806	120	3	methodology	methodology	NOUN
ijassa-806	120	4	application	application	NOUN
ijassa-806	120	5	on	on	ADP
ijassa-806	120	6	a	a	DET
ijassa-806	120	7	des	des	PROPN
ijassa-806	120	8	:	:	PUNCT
ijassa-806	120	9	rail	rail	NOUN
ijassa-806	120	10	transport	transport	NOUN
ijassa-806	120	11	system	system	NOUN
ijassa-806	120	12	as	as	ADP
ijassa-806	120	13	an	an	DET
ijassa-806	120	14	illustration	illustration	NOUN
ijassa-806	120	15	of	of	ADP
ijassa-806	120	16	the	the	DET
ijassa-806	120	17	proposed	propose	VERB
ijassa-806	120	18	generic	generic	ADJ
ijassa-806	120	19	model	model	NOUN
ijassa-806	120	20	,	,	PUNCT
ijassa-806	120	21	we	we	PRON
ijassa-806	120	22	consider	consider	VERB
ijassa-806	120	23	a	a	DET
ijassa-806	120	24	particular	particular	ADJ
ijassa-806	120	25	discrete	discrete	ADJ
ijassa-806	120	26	event	event	NOUN
ijassa-806	120	27	system	system	NOUN
ijassa-806	120	28	,	,	PUNCT
ijassa-806	120	29	a	a	DET
ijassa-806	120	30	railway	railway	NOUN
ijassa-806	120	31	transport	transport	NOUN
ijassa-806	120	32	network	network	NOUN
ijassa-806	120	33	.	.	PUNCT
ijassa-806	121	1	this	this	DET
ijassa-806	121	2	transportation	transportation	NOUN
ijassa-806	121	3	system	system	NOUN
ijassa-806	121	4	is	be	AUX
ijassa-806	121	5	considered	consider	VERB
ijassa-806	121	6	a	a	DET
ijassa-806	121	7	safety	safety	NOUN
ijassa-806	121	8	critical	critical	ADJ
ijassa-806	121	9	system	system	NOUN
ijassa-806	121	10	[	[	X
ijassa-806	121	11	30	30	NUM
ijassa-806	121	12	]	]	PUNCT
ijassa-806	121	13	.	.	PUNCT
ijassa-806	122	1	so	so	ADV
ijassa-806	122	2	,	,	PUNCT
ijassa-806	122	3	a	a	DET
ijassa-806	122	4	management	management	NOUN
ijassa-806	122	5	environment	environment	NOUN
ijassa-806	122	6	of	of	ADP
ijassa-806	122	7	failures	failure	NOUN
ijassa-806	122	8	is	be	AUX
ijassa-806	122	9	important	important	ADJ
ijassa-806	122	10	for	for	ADP
ijassa-806	122	11	increasing	increase	VERB
ijassa-806	122	12	dependability	dependability	NOUN
ijassa-806	122	13	and	and	CCONJ
ijassa-806	122	14	ensuring	ensure	VERB
ijassa-806	122	15	safety	safety	NOUN
ijassa-806	122	16	of	of	ADP
ijassa-806	122	17	property	property	NOUN
ijassa-806	122	18	and	and	CCONJ
ijassa-806	122	19	persons	person	NOUN
ijassa-806	122	20	.	.	PUNCT
ijassa-806	123	1	4.1	4.1	NUM
ijassa-806	123	2	.	.	PUNCT
ijassa-806	123	3	specification	specification	NOUN
ijassa-806	123	4	of	of	ADP
ijassa-806	123	5	the	the	DET
ijassa-806	123	6	rail	rail	NOUN
ijassa-806	123	7	transport	transport	NOUN
ijassa-806	123	8	system	system	NOUN
ijassa-806	123	9	the	the	DET
ijassa-806	123	10	railway	railway	NOUN
ijassa-806	123	11	system	system	NOUN
ijassa-806	123	12	comprises	comprise	VERB
ijassa-806	123	13	two	two	NUM
ijassa-806	123	14	elements	element	NOUN
ijassa-806	123	15	closely	closely	ADV
ijassa-806	123	16	linked	link	VERB
ijassa-806	123	17	to	to	ADP
ijassa-806	123	18	infrastructure	infrastructure	NOUN
ijassa-806	123	19	and	and	CCONJ
ijassa-806	123	20	vehicle	vehicle	NOUN
ijassa-806	123	21	:	:	PUNCT
ijassa-806	123	22	the	the	DET
ijassa-806	123	23	traffic	traffic	NOUN
ijassa-806	123	24	loads	load	NOUN
ijassa-806	123	25	,	,	PUNCT
ijassa-806	123	26	the	the	DET
ijassa-806	123	27	type	type	NOUN
ijassa-806	123	28	of	of	ADP
ijassa-806	123	29	trains	train	NOUN
ijassa-806	123	30	and	and	CCONJ
ijassa-806	123	31	rolling	roll	VERB
ijassa-806	123	32	stock	stock	NOUN
ijassa-806	123	33	on	on	ADP
ijassa-806	123	34	the	the	DET
ijassa-806	123	35	track	track	NOUN
ijassa-806	123	36	lead	lead	NOUN
ijassa-806	123	37	to	to	ADP
ijassa-806	123	38	an	an	DET
ijassa-806	123	39	irregular	irregular	ADJ
ijassa-806	123	40	degradation	degradation	NOUN
ijassa-806	123	41	of	of	ADP
ijassa-806	123	42	the	the	DET
ijassa-806	123	43	geometry	geometry	NOUN
ijassa-806	123	44	.	.	PUNCT
ijassa-806	124	1	the	the	DET
ijassa-806	124	2	speed	speed	NOUN
ijassa-806	124	3	accelerates	accelerate	VERB
ijassa-806	124	4	this	this	DET
ijassa-806	124	5	degradation	degradation	NOUN
ijassa-806	124	6	and	and	CCONJ
ijassa-806	124	7	a	a	DET
ijassa-806	124	8	reduction	reduction	NOUN
ijassa-806	124	9	in	in	ADP
ijassa-806	124	10	the	the	DET
ijassa-806	124	11	component	component	NOUN
ijassa-806	124	12	life	life	NOUN
ijassa-806	124	13	.	.	PUNCT
ijassa-806	125	1	120	120	NUM
ijassa-806	125	2	h.	h.	PROPN
ijassa-806	125	3	serradj	serradj	PROPN
ijassa-806	125	4	,	,	PUNCT
ijassa-806	125	5	m.	m.	NOUN
ijassa-806	125	6	noureddine	noureddine	ADP
ijassa-806	125	7	copyright	copyright	NOUN
ijassa-806	125	8	©	©	PROPN
ijassa-806	125	9	2023	2023	NUM
ijassa-806	125	10	assa	assa	PROPN
ijassa-806	125	11	adv	adv	PROPN
ijassa-806	125	12	.	.	PUNCT
ijassa-806	126	1	in	in	ADP
ijassa-806	126	2	systems	system	NOUN
ijassa-806	126	3	science	science	NOUN
ijassa-806	126	4	and	and	CCONJ
ijassa-806	126	5	appl	appl	NOUN
ijassa-806	126	6	.	.	PUNCT
ijassa-806	127	1	(	(	PUNCT
ijassa-806	127	2	2023	2023	NUM
ijassa-806	127	3	)	)	PUNCT
ijassa-806	127	4	a	a	DET
ijassa-806	127	5	real	real	ADJ
ijassa-806	127	6	case	case	NOUN
ijassa-806	127	7	is	be	AUX
ijassa-806	127	8	studying	study	VERB
ijassa-806	127	9	through	through	ADP
ijassa-806	127	10	the	the	DET
ijassa-806	127	11	line	line	NOUN
ijassa-806	127	12	oran	oran	NOUN
ijassa-806	127	13	(	(	PUNCT
ijassa-806	127	14	west	west	PROPN
ijassa-806	127	15	city	city	PROPN
ijassa-806	127	16	of	of	ADP
ijassa-806	127	17	algeria	algeria	PROPN
ijassa-806	127	18	)	)	PUNCT
ijassa-806	127	19	to	to	ADP
ijassa-806	127	20	algiers	algiers	PROPN
ijassa-806	127	21	(	(	PUNCT
ijassa-806	127	22	the	the	DET
ijassa-806	127	23	capital	capital	NOUN
ijassa-806	127	24	city	city	PROPN
ijassa-806	127	25	)	)	PUNCT
ijassa-806	127	26	;	;	PUNCT
ijassa-806	127	27	distance	distance	NOUN
ijassa-806	127	28	between	between	ADP
ijassa-806	127	29	these	these	DET
ijassa-806	127	30	two	two	NUM
ijassa-806	127	31	cities	city	NOUN
ijassa-806	127	32	is	be	AUX
ijassa-806	127	33	of	of	ADP
ijassa-806	127	34	422	422	NUM
ijassa-806	127	35	km	km	NOUN
ijassa-806	127	36	.	.	PUNCT
ijassa-806	128	1	a	a	DET
ijassa-806	128	2	measurement	measurement	NOUN
ijassa-806	128	3	car	car	NOUN
ijassa-806	128	4	[	[	X
ijassa-806	128	5	21	21	NUM
ijassa-806	128	6	]	]	PUNCT
ijassa-806	128	7	is	be	AUX
ijassa-806	128	8	used	use	VERB
ijassa-806	128	9	for	for	ADP
ijassa-806	128	10	maintenance	maintenance	NOUN
ijassa-806	128	11	and	and	CCONJ
ijassa-806	128	12	renewal	renewal	NOUN
ijassa-806	128	13	of	of	ADP
ijassa-806	128	14	railways	railway	NOUN
ijassa-806	128	15	.	.	PUNCT
ijassa-806	129	1	the	the	DET
ijassa-806	129	2	vehicle	vehicle	NOUN
ijassa-806	129	3	exhibits	exhibit	VERB
ijassa-806	129	4	dynamic	dynamic	ADJ
ijassa-806	129	5	behavior	behavior	NOUN
ijassa-806	129	6	to	to	PART
ijassa-806	129	7	be	be	AUX
ijassa-806	129	8	improved	improve	VERB
ijassa-806	129	9	,	,	PUNCT
ijassa-806	129	10	in	in	ADP
ijassa-806	129	11	particular	particular	ADJ
ijassa-806	129	12	case	case	NOUN
ijassa-806	129	13	when	when	SCONJ
ijassa-806	129	14	the	the	DET
ijassa-806	129	15	vehicle	vehicle	NOUN
ijassa-806	129	16	passes	pass	VERB
ijassa-806	129	17	over	over	ADP
ijassa-806	129	18	geometrical	geometrical	ADJ
ijassa-806	129	19	defects	defect	NOUN
ijassa-806	129	20	on	on	ADP
ijassa-806	129	21	the	the	DET
ijassa-806	129	22	track	track	NOUN
ijassa-806	129	23	or	or	CCONJ
ijassa-806	129	24	on	on	ADP
ijassa-806	129	25	switches	switch	NOUN
ijassa-806	129	26	.	.	PUNCT
ijassa-806	130	1	the	the	DET
ijassa-806	130	2	measuring	measure	VERB
ijassa-806	130	3	car	car	NOUN
ijassa-806	130	4	is	be	AUX
ijassa-806	130	5	intended	intend	VERB
ijassa-806	130	6	to	to	PART
ijassa-806	130	7	detect	detect	VERB
ijassa-806	130	8	and	and	CCONJ
ijassa-806	130	9	record	record	VERB
ijassa-806	130	10	geometrical	geometrical	ADJ
ijassa-806	130	11	parameters	parameter	NOUN
ijassa-806	130	12	of	of	ADP
ijassa-806	130	13	the	the	DET
ijassa-806	130	14	track	track	NOUN
ijassa-806	130	15	,	,	PUNCT
ijassa-806	130	16	mainly	mainly	ADV
ijassa-806	130	17	by	by	ADP
ijassa-806	130	18	intervening	intervene	VERB
ijassa-806	130	19	urgently	urgently	ADV
ijassa-806	130	20	to	to	PART
ijassa-806	130	21	ensure	ensure	VERB
ijassa-806	130	22	safety	safety	NOUN
ijassa-806	130	23	of	of	ADP
ijassa-806	130	24	the	the	DET
ijassa-806	130	25	train	train	NOUN
ijassa-806	130	26	movements	movement	NOUN
ijassa-806	130	27	through	through	ADP
ijassa-806	130	28	checking	check	VERB
ijassa-806	130	29	types	type	NOUN
ijassa-806	130	30	of	of	ADP
ijassa-806	130	31	faults	fault	NOUN
ijassa-806	130	32	[	[	X
ijassa-806	130	33	5	5	NUM
ijassa-806	130	34	,	,	PUNCT
ijassa-806	130	35	12	12	NUM
ijassa-806	130	36	]	]	PUNCT
ijassa-806	130	37	.	.	PUNCT
ijassa-806	131	1	the	the	DET
ijassa-806	131	2	controls	control	NOUN
ijassa-806	131	3	concern	concern	NOUN
ijassa-806	131	4	:	:	PUNCT
ijassa-806	131	5	the	the	DET
ijassa-806	131	6	longitudinal	longitudinal	ADJ
ijassa-806	131	7	leveling	leveling	NOUN
ijassa-806	131	8	of	of	ADP
ijassa-806	131	9	2	2	NUM
ijassa-806	131	10	lines	line	NOUN
ijassa-806	131	11	of	of	ADP
ijassa-806	131	12	rail	rail	NOUN
ijassa-806	131	13	.	.	PUNCT
ijassa-806	132	1	the	the	DET
ijassa-806	132	2	ca	can	AUX
ijassa-806	132	3	nt	not	PART
ijassa-806	132	4	values	value	NOUN
ijassa-806	132	5	.	.	PUNCT
ijassa-806	133	1	the	the	DET
ijassa-806	133	2	left	left	NOUN
ijassa-806	133	3	,	,	PUNCT
ijassa-806	133	4	which	which	PRON
ijassa-806	133	5	represents	represent	VERB
ijassa-806	133	6	the	the	DET
ijassa-806	133	7	torsion	torsion	NOUN
ijassa-806	133	8	of	of	ADP
ijassa-806	133	9	the	the	DET
ijassa-806	133	10	track	track	NOUN
ijassa-806	133	11	.	.	PUNCT
ijassa-806	134	1	the	the	DET
ijassa-806	134	2	defect	defect	NOUN
ijassa-806	134	3	of	of	ADP
ijassa-806	134	4	dressage	dressage	NOUN
ijassa-806	134	5	.	.	PUNCT
ijassa-806	135	1	the	the	DET
ijassa-806	135	2	variation	variation	NOUN
ijassa-806	135	3	of	of	ADP
ijassa-806	135	4	the	the	DET
ijassa-806	135	5	spacing	spacing	NOUN
ijassa-806	135	6	.	.	PUNCT
ijassa-806	136	1	the	the	DET
ijassa-806	136	2	major	major	ADJ
ijassa-806	136	3	disadvantages	disadvantage	NOUN
ijassa-806	136	4	of	of	ADP
ijassa-806	136	5	the	the	DET
ijassa-806	136	6	measurement	measurement	NOUN
ijassa-806	136	7	car	car	NOUN
ijassa-806	136	8	are	be	AUX
ijassa-806	136	9	on	on	ADP
ijassa-806	136	10	the	the	DET
ijassa-806	136	11	one	one	NUM
ijassa-806	136	12	hand	hand	NOUN
ijassa-806	136	13	inability	inability	NOUN
ijassa-806	136	14	of	of	ADP
ijassa-806	136	15	the	the	DET
ijassa-806	136	16	car	car	NOUN
ijassa-806	136	17	to	to	PART
ijassa-806	136	18	interrupt	interrupt	VERB
ijassa-806	136	19	monitoring	monitoring	NOUN
ijassa-806	136	20	and	and	CCONJ
ijassa-806	136	21	diagnosis	diagnosis	NOUN
ijassa-806	136	22	,	,	PUNCT
ijassa-806	136	23	and	and	CCONJ
ijassa-806	136	24	on	on	ADP
ijassa-806	136	25	the	the	DET
ijassa-806	136	26	other	other	ADJ
ijassa-806	136	27	hand	hand	NOUN
ijassa-806	136	28	the	the	DET
ijassa-806	136	29	high	high	ADJ
ijassa-806	136	30	probability	probability	NOUN
ijassa-806	136	31	(	(	PUNCT
ijassa-806	136	32	75	75	NUM
ijassa-806	136	33	%	%	NOUN
ijassa-806	136	34	)	)	PUNCT
ijassa-806	136	35	of	of	ADP
ijassa-806	136	36	having	have	VERB
ijassa-806	136	37	a	a	DET
ijassa-806	136	38	false	false	ADJ
ijassa-806	136	39	registration	registration	NOUN
ijassa-806	136	40	if	if	SCONJ
ijassa-806	136	41	the	the	DET
ijassa-806	136	42	sensors	sensor	NOUN
ijassa-806	136	43	do	do	AUX
ijassa-806	136	44	not	not	PART
ijassa-806	136	45	work	work	VERB
ijassa-806	136	46	.	.	PUNCT
ijassa-806	137	1	furthermore	furthermore	ADV
ijassa-806	137	2	,	,	PUNCT
ijassa-806	137	3	as	as	SCONJ
ijassa-806	137	4	it	it	PRON
ijassa-806	137	5	is	be	AUX
ijassa-806	137	6	a	a	DET
ijassa-806	137	7	towed	tow	VERB
ijassa-806	137	8	car	car	NOUN
ijassa-806	137	9	without	without	ADP
ijassa-806	137	10	motor	motor	NOUN
ijassa-806	137	11	,	,	PUNCT
ijassa-806	137	12	this	this	PRON
ijassa-806	137	13	can	can	AUX
ijassa-806	137	14	cause	cause	VERB
ijassa-806	137	15	a	a	DET
ijassa-806	137	16	delay	delay	NOUN
ijassa-806	137	17	of	of	ADP
ijassa-806	137	18	the	the	DET
ijassa-806	137	19	train	train	NOUN
ijassa-806	137	20	with	with	ADP
ijassa-806	137	21	no	no	DET
ijassa-806	137	22	information	information	NOUN
ijassa-806	137	23	distribution	distribution	NOUN
ijassa-806	137	24	.	.	PUNCT
ijassa-806	138	1	4.2	4.2	NUM
ijassa-806	138	2	.	.	PUNCT
ijassa-806	138	3	distribution	distribution	NOUN
ijassa-806	138	4	of	of	ADP
ijassa-806	138	5	the	the	DET
ijassa-806	138	6	recovery	recovery	NOUN
ijassa-806	138	7	phase	phase	NOUN
ijassa-806	138	8	between	between	ADP
ijassa-806	138	9	communicating	communicate	VERB
ijassa-806	138	10	modules	module	NOUN
ijassa-806	138	11	a	a	DET
ijassa-806	138	12	solution	solution	NOUN
ijassa-806	138	13	is	be	AUX
ijassa-806	138	14	proposed	propose	VERB
ijassa-806	138	15	to	to	PART
ijassa-806	138	16	delimit	delimit	VERB
ijassa-806	138	17	the	the	DET
ijassa-806	138	18	disadvantages	disadvantage	NOUN
ijassa-806	138	19	generated	generate	VERB
ijassa-806	138	20	by	by	ADP
ijassa-806	138	21	the	the	DET
ijassa-806	138	22	measuring	measure	VERB
ijassa-806	138	23	car	car	NOUN
ijassa-806	138	24	:	:	PUNCT
ijassa-806	138	25	the	the	DET
ijassa-806	138	26	rail	rail	NOUN
ijassa-806	138	27	transport	transport	NOUN
ijassa-806	138	28	system	system	NOUN
ijassa-806	138	29	has	have	VERB
ijassa-806	138	30	a	a	DET
ijassa-806	138	31	control	control	NOUN
ijassa-806	138	32	center	center	NOUN
ijassa-806	138	33	and	and	CCONJ
ijassa-806	138	34	physically	physically	ADV
ijassa-806	138	35	distributed	distribute	VERB
ijassa-806	138	36	stations	station	NOUN
ijassa-806	138	37	,	,	PUNCT
ijassa-806	138	38	through	through	ADP
ijassa-806	138	39	remote	remote	ADJ
ijassa-806	138	40	terminal	terminal	ADJ
ijassa-806	138	41	units	unit	NOUN
ijassa-806	138	42	(	(	PUNCT
ijassa-806	138	43	rtu	rtu	NOUN
ijassa-806	138	44	)	)	PUNCT
ijassa-806	138	45	.	.	PUNCT
ijassa-806	139	1	for	for	ADP
ijassa-806	139	2	the	the	DET
ijassa-806	139	3	considered	consider	VERB
ijassa-806	139	4	line	line	NOUN
ijassa-806	139	5	(	(	PUNCT
ijassa-806	139	6	fig	fig	NOUN
ijassa-806	139	7	.	.	PUNCT
ijassa-806	139	8	4.1	4.1	NUM
ijassa-806	139	9	)	)	PUNCT
ijassa-806	139	10	,	,	PUNCT
ijassa-806	139	11	the	the	DET
ijassa-806	139	12	command	command	NOUN
ijassa-806	139	13	center	center	NOUN
ijassa-806	139	14	is	be	AUX
ijassa-806	139	15	located	locate	VERB
ijassa-806	139	16	at	at	ADP
ijassa-806	139	17	the	the	DET
ijassa-806	139	18	algiers	algiers	PROPN
ijassa-806	139	19	level	level	NOUN
ijassa-806	139	20	;	;	PUNCT
ijassa-806	139	21	departure	departure	NOUN
ijassa-806	139	22	will	will	AUX
ijassa-806	139	23	start	start	VERB
ijassa-806	139	24	from	from	ADP
ijassa-806	139	25	oran	oran	ADJ
ijassa-806	139	26	(	(	PUNCT
ijassa-806	139	27	kilometer	kilometer	NOUN
ijassa-806	139	28	point	point	NOUN
ijassa-806	139	29	0	0	NUM
ijassa-806	139	30	)	)	PUNCT
ijassa-806	139	31	which	which	PRON
ijassa-806	139	32	sets	set	VERB
ijassa-806	139	33	post1	post1	NOUN
ijassa-806	139	34	,	,	PUNCT
ijassa-806	139	35	relizane	relizane	ADJ
ijassa-806	139	36	(	(	PUNCT
ijassa-806	139	37	kilometer	kilometer	NOUN
ijassa-806	139	38	point	point	NOUN
ijassa-806	139	39	1	1	NUM
ijassa-806	139	40	)	)	PUNCT
ijassa-806	139	41	is	be	AUX
ijassa-806	139	42	workstation2	workstation2	NOUN
ijassa-806	139	43	and	and	CCONJ
ijassa-806	139	44	ain	ain	PROPN
ijassa-806	139	45	defla	defla	PROPN
ijassa-806	139	46	(	(	PUNCT
ijassa-806	139	47	kilometer	kilometer	NOUN
ijassa-806	139	48	point	point	NOUN
ijassa-806	139	49	2	2	NUM
ijassa-806	139	50	)	)	PUNCT
ijassa-806	139	51	is	be	AUX
ijassa-806	139	52	post3	post3	VERB
ijassa-806	139	53	.	.	PUNCT
ijassa-806	140	1	fig	fig	NOUN
ijassa-806	140	2	.	.	PUNCT
ijassa-806	141	1	4.1	4.1	NUM
ijassa-806	141	2	.	.	PUNCT
ijassa-806	142	1	the	the	DET
ijassa-806	142	2	railway	railway	NOUN
ijassa-806	142	3	line	line	NOUN
ijassa-806	142	4	with	with	ADP
ijassa-806	142	5	rtus	rtus	NOUN
ijassa-806	142	6	each	each	DET
ijassa-806	142	7	station	station	NOUN
ijassa-806	142	8	has	have	VERB
ijassa-806	142	9	cells	cell	NOUN
ijassa-806	142	10	except	except	SCONJ
ijassa-806	142	11	workstation1	workstation1	PROPN
ijassa-806	142	12	(	(	PUNCT
ijassa-806	142	13	departure	departure	NOUN
ijassa-806	142	14	)	)	PUNCT
ijassa-806	142	15	and	and	CCONJ
ijassa-806	142	16	control	control	NOUN
ijassa-806	142	17	center	center	PROPN
ijassa-806	142	18	(	(	PUNCT
ijassa-806	142	19	arrival	arrival	NOUN
ijassa-806	142	20	)	)	PUNCT
ijassa-806	142	21	;	;	PUNCT
ijassa-806	142	22	this	this	DET
ijassa-806	142	23	one	one	NOUN
ijassa-806	142	24	has	have	VERB
ijassa-806	142	25	circuit	circuit	NOUN
ijassa-806	142	26	breakers	breaker	NOUN
ijassa-806	142	27	which	which	PRON
ijassa-806	142	28	can	can	AUX
ijassa-806	142	29	be	be	AUX
ijassa-806	142	30	either	either	CCONJ
ijassa-806	142	31	the	the	DET
ijassa-806	142	32	data	data	NOUN
ijassa-806	142	33	logger	logger	NOUN
ijassa-806	142	34	or	or	CCONJ
ijassa-806	142	35	protection	protection	NOUN
ijassa-806	142	36	.	.	PUNCT
ijassa-806	143	1	the	the	DET
ijassa-806	143	2	data	data	NOUN
ijassa-806	143	3	logger	logger	NOUN
ijassa-806	143	4	contains	contain	VERB
ijassa-806	143	5	various	various	ADJ
ijassa-806	143	6	measures	measure	NOUN
ijassa-806	143	7	such	such	ADJ
ijassa-806	143	8	as	as	ADP
ijassa-806	143	9	train	train	NOUN
ijassa-806	143	10	speed	speed	NOUN
ijassa-806	143	11	,	,	PUNCT
ijassa-806	143	12	size	size	NOUN
ijassa-806	143	13	and	and	CCONJ
ijassa-806	143	14	time	time	NOUN
ijassa-806	143	15	;	;	PUNCT
ijassa-806	143	16	the	the	DET
ijassa-806	143	17	protection	protection	NOUN
ijassa-806	143	18	contains	contain	VERB
ijassa-806	143	19	defects	defect	NOUN
ijassa-806	143	20	(	(	PUNCT
ijassa-806	143	21	spacing	spacing	NOUN
ijassa-806	143	22	,	,	PUNCT
ijassa-806	143	23	left	leave	VERB
ijassa-806	143	24	,	,	PUNCT
ijassa-806	143	25	long	long	ADJ
ijassa-806	143	26	profile	profile	NOUN
ijassa-806	143	27	,	,	PUNCT
ijassa-806	143	28	vertical	vertical	ADJ
ijassa-806	143	29	alignment	alignment	NOUN
ijassa-806	143	30	,	,	PUNCT
ijassa-806	143	31	high	high	ADJ
ijassa-806	143	32	and	and	CCONJ
ijassa-806	143	33	down	down	ADP
ijassa-806	143	34	points	point	NOUN
ijassa-806	143	35	,	,	PUNCT
ijassa-806	143	36	devers	dever	NOUN
ijassa-806	143	37	,	,	PUNCT
ijassa-806	143	38	arrow	arrow	NOUN
ijassa-806	143	39	)	)	PUNCT
ijassa-806	143	40	.	.	PUNCT
ijassa-806	144	1	graphical	graphical	ADJ
ijassa-806	144	2	data	datum	NOUN
ijassa-806	144	3	(	(	PUNCT
ijassa-806	144	4	fig	fig	NOUN
ijassa-806	144	5	.	.	PUNCT
ijassa-806	144	6	4.2	4.2	NUM
ijassa-806	144	7	)	)	PUNCT
ijassa-806	144	8	between	between	ADP
ijassa-806	144	9	kilometer	kilometer	NOUN
ijassa-806	144	10	points	point	NOUN
ijassa-806	144	11	1	1	NUM
ijassa-806	144	12	and	and	CCONJ
ijassa-806	144	13	2	2	NUM
ijassa-806	144	14	are	be	AUX
ijassa-806	144	15	recovered	recover	VERB
ijassa-806	144	16	by	by	ADP
ijassa-806	144	17	rtus	rtus	NOUN
ijassa-806	144	18	,	,	PUNCT
ijassa-806	144	19	giving	give	VERB
ijassa-806	144	20	simulation	simulation	NOUN
ijassa-806	144	21	of	of	ADP
ijassa-806	144	22	the	the	DET
ijassa-806	144	23	two	two	NUM
ijassa-806	144	24	defects	defect	NOUN
ijassa-806	144	25	,	,	PUNCT
ijassa-806	144	26	spacing	space	VERB
ijassa-806	144	27	(	(	PUNCT
ijassa-806	144	28	s	s	NOUN
ijassa-806	144	29	)	)	PUNCT
ijassa-806	144	30	and	and	CCONJ
ijassa-806	144	31	left	leave	VERB
ijassa-806	144	32	(	(	PUNCT
ijassa-806	144	33	l	l	NOUN
ijassa-806	144	34	)	)	PUNCT
ijassa-806	144	35	.	.	PUNCT
ijassa-806	145	1	this	this	DET
ijassa-806	145	2	result	result	NOUN
ijassa-806	145	3	is	be	AUX
ijassa-806	145	4	sent	send	VERB
ijassa-806	145	5	to	to	ADP
ijassa-806	145	6	the	the	DET
ijassa-806	145	7	command	command	NOUN
ijassa-806	145	8	center	center	NOUN
ijassa-806	145	9	.	.	PUNCT
ijassa-806	146	1	control	control	NOUN
ijassa-806	146	2	station	station	NOUN
ijassa-806	146	3	and	and	CCONJ
ijassa-806	146	4	other	other	ADJ
ijassa-806	146	5	stations	station	NOUN
ijassa-806	146	6	are	be	AUX
ijassa-806	146	7	connected	connect	VERB
ijassa-806	146	8	to	to	ADP
ijassa-806	146	9	a	a	DET
ijassa-806	146	10	telecommunication	telecommunication	NOUN
ijassa-806	146	11	network	network	NOUN
ijassa-806	146	12	via	via	ADP
ijassa-806	146	13	a	a	DET
ijassa-806	146	14	transport	transport	NOUN
ijassa-806	146	15	medium	medium	NOUN
ijassa-806	146	16	using	use	VERB
ijassa-806	146	17	standard	standard	ADJ
ijassa-806	146	18	protocols	protocol	NOUN
ijassa-806	146	19	.	.	PUNCT
ijassa-806	147	1	a	a	DET
ijassa-806	147	2	database	database	NOUN
ijassa-806	147	3	allows	allow	VERB
ijassa-806	147	4	storage	storage	NOUN
ijassa-806	147	5	of	of	ADP
ijassa-806	147	6	failures	failure	NOUN
ijassa-806	147	7	,	,	PUNCT
ijassa-806	147	8	as	as	ADP
ijassa-806	147	9	:	:	PUNCT
ijassa-806	147	10	ts	ts	NUM
ijassa-806	147	11	:	:	PUNCT
ijassa-806	147	12	tele	tele	PROPN
ijassa-806	147	13	signalization	signalization	NOUN
ijassa-806	147	14	(	(	PUNCT
ijassa-806	147	15	simple	simple	ADJ
ijassa-806	147	16	or	or	CCONJ
ijassa-806	147	17	double	double	ADJ
ijassa-806	147	18	)	)	PUNCT
ijassa-806	147	19	which	which	PRON
ijassa-806	147	20	represents	represent	VERB
ijassa-806	147	21	defects	defect	NOUN
ijassa-806	147	22	and	and	CCONJ
ijassa-806	147	23	the	the	DET
ijassa-806	147	24	track	track	NOUN
ijassa-806	147	25	state	state	NOUN
ijassa-806	147	26	.	.	PUNCT
ijassa-806	148	1	tr	tr	VERB
ijassa-806	148	2	:	:	PUNCT
ijassa-806	148	3	tele	tele	PROPN
ijassa-806	148	4	regulation	regulation	NOUN
ijassa-806	148	5	that	that	PRON
ijassa-806	148	6	represents	represent	VERB
ijassa-806	148	7	target	target	NOUN
ijassa-806	148	8	speed	speed	NOUN
ijassa-806	148	9	for	for	ADP
ijassa-806	148	10	modification	modification	NOUN
ijassa-806	148	11	of	of	ADP
ijassa-806	148	12	parameters	parameter	NOUN
ijassa-806	148	13	.	.	PUNCT
ijassa-806	149	1	tm	tm	NOUN
ijassa-806	149	2	:	:	PUNCT
ijassa-806	149	3	tele	tele	PROPN
ijassa-806	149	4	measure	measure	NOUN
ijassa-806	149	5	for	for	ADP
ijassa-806	149	6	controlled	control	VERB
ijassa-806	149	7	measurements	measurement	NOUN
ijassa-806	149	8	to	to	PART
ijassa-806	149	9	monitor	monitor	VERB
ijassa-806	149	10	current	current	ADJ
ijassa-806	149	11	speed	speed	NOUN
ijassa-806	149	12	of	of	ADP
ijassa-806	149	13	the	the	DET
ijassa-806	149	14	train	train	NOUN
ijassa-806	149	15	.	.	PUNCT
ijassa-806	150	1	learning	learn	VERB
ijassa-806	150	2	methods	method	NOUN
ijassa-806	150	3	for	for	ADP
ijassa-806	150	4	distributed	distributed	ADJ
ijassa-806	150	5	diagnosis	diagnosis	NOUN
ijassa-806	150	6	…	…	PUNCT
ijassa-806	150	7	121	121	NUM
ijassa-806	150	8	copyright	copyright	NOUN
ijassa-806	150	9	©	©	PROPN
ijassa-806	150	10	2023	2023	NUM
ijassa-806	150	11	assa	assa	NOUN
ijassa-806	150	12	.	.	PUNCT
ijassa-806	151	1	adv	adv	PROPN
ijassa-806	151	2	.	.	PUNCT
ijassa-806	152	1	in	in	ADP
ijassa-806	152	2	systems	system	NOUN
ijassa-806	152	3	science	science	NOUN
ijassa-806	152	4	and	and	CCONJ
ijassa-806	152	5	appl	appl	NOUN
ijassa-806	152	6	.	.	PUNCT
ijassa-806	153	1	(	(	PUNCT
ijassa-806	153	2	2023	2023	NUM
ijassa-806	153	3	)	)	PUNCT
ijassa-806	153	4	fig	fig	NOUN
ijassa-806	153	5	.	.	PUNCT
ijassa-806	154	1	4.2	4.2	NUM
ijassa-806	154	2	.	.	PUNCT
ijassa-806	154	3	graphical	graphical	ADJ
ijassa-806	154	4	data	datum	NOUN
ijassa-806	154	5	for	for	ADP
ijassa-806	154	6	simulation	simulation	NOUN
ijassa-806	154	7	of	of	ADP
ijassa-806	154	8	two	two	NUM
ijassa-806	154	9	defects	defect	NOUN
ijassa-806	154	10	5	5	NUM
ijassa-806	154	11	.	.	PUNCT
ijassa-806	154	12	application	application	NOUN
ijassa-806	154	13	of	of	ADP
ijassa-806	154	14	the	the	DET
ijassa-806	154	15	proposed	propose	VERB
ijassa-806	154	16	algorithm	algorithm	NOUN
ijassa-806	154	17	the	the	DET
ijassa-806	154	18	following	follow	VERB
ijassa-806	154	19	section	section	NOUN
ijassa-806	154	20	illustrates	illustrate	VERB
ijassa-806	154	21	in	in	ADP
ijassa-806	154	22	detail	detail	NOUN
ijassa-806	154	23	the	the	DET
ijassa-806	154	24	methodology	methodology	NOUN
ijassa-806	154	25	through	through	ADP
ijassa-806	154	26	application	application	NOUN
ijassa-806	154	27	of	of	ADP
ijassa-806	154	28	the	the	DET
ijassa-806	154	29	proposed	propose	VERB
ijassa-806	154	30	algorithm	algorithm	NOUN
ijassa-806	154	31	on	on	ADP
ijassa-806	154	32	a	a	DET
ijassa-806	154	33	set	set	NOUN
ijassa-806	154	34	of	of	ADP
ijassa-806	154	35	individuals	individual	NOUN
ijassa-806	154	36	recovered	recover	VERB
ijassa-806	154	37	from	from	ADP
ijassa-806	154	38	a	a	DET
ijassa-806	154	39	distributed	distribute	VERB
ijassa-806	154	40	architecture	architecture	NOUN
ijassa-806	154	41	;	;	PUNCT
ijassa-806	154	42	at	at	ADP
ijassa-806	154	43	first	first	ADV
ijassa-806	154	44	,	,	PUNCT
ijassa-806	154	45	lamda	lamda	X
ijassa-806	154	46	method	method	NOUN
ijassa-806	154	47	is	be	AUX
ijassa-806	154	48	applied	apply	VERB
ijassa-806	154	49	followed	follow	VERB
ijassa-806	154	50	by	by	ADP
ijassa-806	154	51	k	k	PROPN
ijassa-806	154	52	-	-	PUNCT
ijassa-806	154	53	nn	nn	PROPN
ijassa-806	154	54	method	method	NOUN
ijassa-806	154	55	.	.	PUNCT
ijassa-806	155	1	the	the	DET
ijassa-806	155	2	obtained	obtain	VERB
ijassa-806	155	3	results	result	NOUN
ijassa-806	155	4	show	show	VERB
ijassa-806	155	5	the	the	DET
ijassa-806	155	6	classification	classification	NOUN
ijassa-806	155	7	improvement	improvement	NOUN
ijassa-806	155	8	in	in	ADP
ijassa-806	155	9	using	use	VERB
ijassa-806	155	10	same	same	ADJ
ijassa-806	155	11	parameters	parameter	NOUN
ijassa-806	155	12	thereby	thereby	ADV
ijassa-806	155	13	,	,	PUNCT
ijassa-806	155	14	the	the	DET
ijassa-806	155	15	operator	operator	NOUN
ijassa-806	155	16	will	will	AUX
ijassa-806	155	17	carry	carry	VERB
ijassa-806	155	18	out	out	ADP
ijassa-806	155	19	a	a	DET
ijassa-806	155	20	multidisciplinary	multidisciplinary	ADJ
ijassa-806	155	21	analysis	analysis	NOUN
ijassa-806	155	22	on	on	ADP
ijassa-806	155	23	the	the	DET
ijassa-806	155	24	collected	collect	VERB
ijassa-806	155	25	data	datum	NOUN
ijassa-806	155	26	,	,	PUNCT
ijassa-806	155	27	so	so	SCONJ
ijassa-806	155	28	that	that	SCONJ
ijassa-806	155	29	he	he	PRON
ijassa-806	155	30	can	can	AUX
ijassa-806	155	31	make	make	VERB
ijassa-806	155	32	the	the	DET
ijassa-806	155	33	right	right	ADJ
ijassa-806	155	34	decision	decision	NOUN
ijassa-806	155	35	in	in	ADP
ijassa-806	155	36	real	real	ADJ
ijassa-806	155	37	time	time	NOUN
ijassa-806	155	38	regarding	regard	VERB
ijassa-806	155	39	maintenance	maintenance	NOUN
ijassa-806	155	40	during	during	ADP
ijassa-806	155	41	the	the	DET
ijassa-806	155	42	failure	failure	NOUN
ijassa-806	155	43	occurrence	occurrence	NOUN
ijassa-806	155	44	.	.	PUNCT
ijassa-806	156	1	he	he	PRON
ijassa-806	156	2	also	also	ADV
ijassa-806	156	3	manages	manage	VERB
ijassa-806	156	4	a	a	DET
ijassa-806	156	5	new	new	ADJ
ijassa-806	156	6	failure	failure	NOUN
ijassa-806	156	7	that	that	PRON
ijassa-806	156	8	can	can	AUX
ijassa-806	156	9	belong	belong	VERB
ijassa-806	156	10	to	to	ADP
ijassa-806	156	11	a	a	DET
ijassa-806	156	12	class	class	NOUN
ijassa-806	156	13	already	already	ADV
ijassa-806	156	14	predefined	predefine	VERB
ijassa-806	156	15	,	,	PUNCT
ijassa-806	156	16	by	by	ADP
ijassa-806	156	17	using	use	VERB
ijassa-806	156	18	the	the	DET
ijassa-806	156	19	adopted	adopt	VERB
ijassa-806	156	20	classification	classification	NOUN
ijassa-806	156	21	and	and	CCONJ
ijassa-806	156	22	notes	note	VERB
ijassa-806	156	23	its	its	PRON
ijassa-806	156	24	influence	influence	NOUN
ijassa-806	156	25	to	to	ADP
ijassa-806	156	26	the	the	DET
ijassa-806	156	27	given	give	VERB
ijassa-806	156	28	results	result	NOUN
ijassa-806	156	29	in	in	ADP
ijassa-806	156	30	the	the	DET
ijassa-806	156	31	case	case	NOUN
ijassa-806	156	32	where	where	SCONJ
ijassa-806	156	33	learning	learning	NOUN
ijassa-806	156	34	is	be	AUX
ijassa-806	156	35	supervised	supervise	VERB
ijassa-806	156	36	.	.	PUNCT
ijassa-806	157	1	5.1	5.1	NUM
ijassa-806	157	2	classification	classification	NOUN
ijassa-806	157	3	obtained	obtain	VERB
ijassa-806	157	4	by	by	ADP
ijassa-806	157	5	lamda	lamda	NOUN
ijassa-806	157	6	5.1.1	5.1.1	NUM
ijassa-806	157	7	.	.	PUNCT
ijassa-806	157	8	specification	specification	NOUN
ijassa-806	157	9	of	of	ADP
ijassa-806	157	10	descriptors	descriptor	NOUN
ijassa-806	157	11	consider	consider	VERB
ijassa-806	157	12	a	a	DET
ijassa-806	157	13	sample	sample	NOUN
ijassa-806	157	14	of	of	ADP
ijassa-806	157	15	23	23	NUM
ijassa-806	157	16	individuals	individual	NOUN
ijassa-806	157	17	collected	collect	VERB
ijassa-806	157	18	from	from	ADP
ijassa-806	157	19	intelligent	intelligent	ADJ
ijassa-806	157	20	equipments	equipment	NOUN
ijassa-806	157	21	installed	instal	VERB
ijassa-806	157	22	on	on	ADP
ijassa-806	157	23	railway	railway	NOUN
ijassa-806	157	24	transport	transport	NOUN
ijassa-806	157	25	network	network	NOUN
ijassa-806	157	26	,	,	PUNCT
ijassa-806	157	27	in	in	ADP
ijassa-806	157	28	the	the	DET
ijassa-806	157	29	oran	oran	ADJ
ijassa-806	157	30	-	-	PUNCT
ijassa-806	157	31	algiers	algiers	PROPN
ijassa-806	157	32	line	line	NOUN
ijassa-806	157	33	.	.	PUNCT
ijassa-806	158	1	we	we	PRON
ijassa-806	158	2	wish	wish	VERB
ijassa-806	158	3	classifying	classify	VERB
ijassa-806	158	4	these	these	DET
ijassa-806	158	5	elements	element	NOUN
ijassa-806	158	6	in	in	ADP
ijassa-806	158	7	supervised	supervised	ADJ
ijassa-806	158	8	learning	learn	VERB
ijassa-806	158	9	mode	mode	NOUN
ijassa-806	158	10	.	.	PUNCT
ijassa-806	159	1	descriptors	descriptor	NOUN
ijassa-806	159	2	are	be	AUX
ijassa-806	159	3	quantitative	quantitative	ADJ
ijassa-806	159	4	type	type	NOUN
ijassa-806	159	5	,	,	PUNCT
ijassa-806	159	6	representing	represent	VERB
ijassa-806	159	7	respectively	respectively	ADV
ijassa-806	159	8	the	the	DET
ijassa-806	159	9	left	left	NOUN
ijassa-806	159	10	and	and	CCONJ
ijassa-806	159	11	the	the	DET
ijassa-806	159	12	spacing	spacing	NOUN
ijassa-806	159	13	.	.	PUNCT
ijassa-806	160	1	in	in	ADP
ijassa-806	160	2	agreement	agreement	NOUN
ijassa-806	160	3	with	with	ADP
ijassa-806	160	4	the	the	DET
ijassa-806	160	5	expert	expert	NOUN
ijassa-806	160	6	and	and	CCONJ
ijassa-806	160	7	following	follow	VERB
ijassa-806	160	8	defined	define	VERB
ijassa-806	160	9	measurement	measurement	NOUN
ijassa-806	160	10	values	value	NOUN
ijassa-806	160	11	,	,	PUNCT
ijassa-806	160	12	two	two	NUM
ijassa-806	160	13	classes	class	NOUN
ijassa-806	160	14	are	be	AUX
ijassa-806	160	15	identified	identify	VERB
ijassa-806	160	16	:	:	PUNCT
ijassa-806	160	17	the	the	DET
ijassa-806	160	18	first	first	ADJ
ijassa-806	160	19	represents	represent	VERB
ijassa-806	160	20	right	right	ADJ
ijassa-806	160	21	track	track	NOUN
ijassa-806	160	22	and	and	CCONJ
ijassa-806	160	23	the	the	DET
ijassa-806	160	24	second	second	NOUN
ijassa-806	160	25	represents	represent	VERB
ijassa-806	160	26	wrong	wrong	ADJ
ijassa-806	160	27	track	track	NOUN
ijassa-806	160	28	.	.	PUNCT
ijassa-806	161	1	table	table	NOUN
ijassa-806	161	2	5.1	5.1	NUM
ijassa-806	161	3	shows	show	VERB
ijassa-806	161	4	initial	initial	ADJ
ijassa-806	161	5	values	value	NOUN
ijassa-806	161	6	retrieved	retrieve	VERB
ijassa-806	161	7	from	from	ADP
ijassa-806	161	8	rtus	rtus	NOUN
ijassa-806	161	9	with	with	ADP
ijassa-806	161	10	the	the	DET
ijassa-806	161	11	two	two	NUM
ijassa-806	161	12	defined	define	VERB
ijassa-806	161	13	descriptors	descriptor	NOUN
ijassa-806	161	14	for	for	ADP
ijassa-806	161	15	the	the	DET
ijassa-806	161	16	23	23	NUM
ijassa-806	161	17	elements	element	NOUN
ijassa-806	161	18	;	;	PUNCT
ijassa-806	161	19	each	each	DET
ijassa-806	161	20	individual	individual	NOUN
ijassa-806	161	21	is	be	AUX
ijassa-806	161	22	stored	store	VERB
ijassa-806	161	23	with	with	ADP
ijassa-806	161	24	an	an	DET
ijassa-806	161	25	affectation	affectation	NOUN
ijassa-806	161	26	to	to	ADP
ijassa-806	161	27	the	the	DET
ijassa-806	161	28	reference	reference	NOUN
ijassa-806	161	29	class	class	NOUN
ijassa-806	161	30	it	it	PRON
ijassa-806	161	31	belongs	belong	VERB
ijassa-806	161	32	.	.	PUNCT
ijassa-806	162	1	table	table	NOUN
ijassa-806	162	2	5.1	5.1	NUM
ijassa-806	162	3	.	.	PUNCT
ijassa-806	163	1	initial	initial	ADJ
ijassa-806	163	2	values	value	NOUN
ijassa-806	163	3	of	of	ADP
ijassa-806	163	4	the	the	DET
ijassa-806	163	5	descriptors	descriptor	NOUN
ijassa-806	163	6	individual	individual	ADJ
ijassa-806	163	7	descriptors	descriptor	NOUN
ijassa-806	163	8	reference	reference	NOUN
ijassa-806	163	9	class	class	NOUN
ijassa-806	163	10	left	leave	VERB
ijassa-806	163	11	(	(	PUNCT
ijassa-806	163	12	l	l	NOUN
ijassa-806	163	13	)	)	PUNCT
ijassa-806	163	14	spacing	space	VERB
ijassa-806	163	15	(	(	PUNCT
ijassa-806	163	16	s	s	NOUN
ijassa-806	163	17	)	)	PUNCT
ijassa-806	163	18	1	1	NUM
ijassa-806	163	19	9.900	9.900	NUM
ijassa-806	163	20	1435.00	1435.00	NUM
ijassa-806	163	21	2	2	NUM
ijassa-806	163	22	2	2	NUM
ijassa-806	163	23	16.200	16.200	NUM
ijassa-806	163	24	1400.00	1400.00	NUM
ijassa-806	163	25	2	2	NUM
ijassa-806	163	26	3	3	NUM
ijassa-806	163	27	-9.300	-9.300	NUM
ijassa-806	163	28	1430.00	1430.00	NUM
ijassa-806	163	29	2	2	NUM
ijassa-806	163	30	4	4	NUM
ijassa-806	163	31	14.400	14.400	NUM
ijassa-806	163	32	1420.90	1420.90	NUM
ijassa-806	163	33	2	2	NUM
ijassa-806	163	34	5	5	NUM
ijassa-806	163	35	-12.300	-12.300	NUM
ijassa-806	163	36	1400.00	1400.00	NUM
ijassa-806	163	37	2	2	NUM
ijassa-806	163	38	122	122	NUM
ijassa-806	163	39	h.	h.	PROPN
ijassa-806	163	40	serradj	serradj	PROPN
ijassa-806	163	41	,	,	PUNCT
ijassa-806	163	42	m.	m.	NOUN
ijassa-806	163	43	noureddine	noureddine	ADP
ijassa-806	163	44	copyright	copyright	NOUN
ijassa-806	163	45	©	©	PROPN
ijassa-806	163	46	2023	2023	NUM
ijassa-806	163	47	assa	assa	PROPN
ijassa-806	163	48	adv	adv	PROPN
ijassa-806	163	49	.	.	PUNCT
ijassa-806	164	1	in	in	ADP
ijassa-806	164	2	systems	system	NOUN
ijassa-806	164	3	science	science	NOUN
ijassa-806	164	4	and	and	CCONJ
ijassa-806	164	5	appl	appl	NOUN
ijassa-806	164	6	.	.	PUNCT
ijassa-806	165	1	(	(	PUNCT
ijassa-806	165	2	2023	2023	NUM
ijassa-806	165	3	)	)	PUNCT
ijassa-806	165	4	6	6	NUM
ijassa-806	165	5	1.500	1.500	NUM
ijassa-806	165	6	1435.500	1435.500	NUM
ijassa-806	165	7	1	1	NUM
ijassa-806	165	8	7	7	NUM
ijassa-806	165	9	-9.300	-9.300	NUM
ijassa-806	165	10	1200.00	1200.00	NUM
ijassa-806	165	11	2	2	NUM
ijassa-806	165	12	8	8	NUM
ijassa-806	165	13	12.600	12.600	NUM
ijassa-806	165	14	1435.00	1435.00	NUM
ijassa-806	165	15	2	2	NUM
ijassa-806	165	16	9	9	NUM
ijassa-806	165	17	8.600	8.600	NUM
ijassa-806	165	18	1435.00	1435.00	NUM
ijassa-806	165	19	1	1	NUM
ijassa-806	165	20	10	10	NUM
ijassa-806	165	21	5.00	5.00	NUM
ijassa-806	165	22	1435.00	1435.00	NUM
ijassa-806	165	23	1	1	NUM
ijassa-806	165	24	11	11	NUM
ijassa-806	165	25	-10.800	-10.800	NUM
ijassa-806	165	26	1600.00	1600.00	NUM
ijassa-806	165	27	2	2	NUM
ijassa-806	165	28	12	12	NUM
ijassa-806	165	29	9.900	9.900	NUM
ijassa-806	165	30	1435.00	1435.00	NUM
ijassa-806	165	31	2	2	NUM
ijassa-806	165	32	13	13	NUM
ijassa-806	165	33	2.300	2.300	NUM
ijassa-806	165	34	1435.00	1435.00	NUM
ijassa-806	165	35	1	1	NUM
ijassa-806	165	36	14	14	NUM
ijassa-806	165	37	9.300	9.300	NUM
ijassa-806	165	38	1700.00	1700.00	NUM
ijassa-806	165	39	2	2	NUM
ijassa-806	165	40	15	15	NUM
ijassa-806	165	41	9.600	9.600	NUM
ijassa-806	165	42	1820.00	1820.00	NUM
ijassa-806	165	43	2	2	NUM
ijassa-806	165	44	16	16	NUM
ijassa-806	165	45	15.900	15.900	NUM
ijassa-806	165	46	1400.000	1400.000	NUM
ijassa-806	165	47	2	2	NUM
ijassa-806	165	48	17	17	NUM
ijassa-806	165	49	9.100	9.100	NUM
ijassa-806	165	50	1400.00	1400.00	NUM
ijassa-806	165	51	2	2	NUM
ijassa-806	165	52	18	18	NUM
ijassa-806	165	53	8.00	8.00	NUM
ijassa-806	165	54	1435.00	1435.00	NUM
ijassa-806	165	55	1	1	NUM
ijassa-806	165	56	19	19	NUM
ijassa-806	165	57	3.300	3.300	NUM
ijassa-806	165	58	1435.00	1435.00	NUM
ijassa-806	165	59	1	1	NUM
ijassa-806	165	60	20	20	NUM
ijassa-806	165	61	15.300	15.300	NUM
ijassa-806	165	62	2000.00	2000.00	NUM
ijassa-806	165	63	2	2	NUM
ijassa-806	165	64	21	21	NUM
ijassa-806	165	65	19.200	19.200	NUM
ijassa-806	165	66	2152.00	2152.00	NUM
ijassa-806	165	67	2	2	NUM
ijassa-806	165	68	22	22	NUM
ijassa-806	165	69	13.200	13.200	NUM
ijassa-806	165	70	1435.00	1435.00	NUM
ijassa-806	165	71	2	2	NUM
ijassa-806	165	72	23	23	NUM
ijassa-806	165	73	5.400	5.400	NUM
ijassa-806	165	74	1435.00	1435.00	NUM
ijassa-806	165	75	1	1	NUM
ijassa-806	165	76	5.1.2	5.1.2	NUM
ijassa-806	165	77	.	.	PUNCT
ijassa-806	166	1	implementation	implementation	NOUN
ijassa-806	166	2	of	of	ADP
ijassa-806	166	3	the	the	DET
ijassa-806	166	4	lamda	lamda	NOUN
ijassa-806	166	5	method	method	NOUN
ijassa-806	166	6	the	the	DET
ijassa-806	166	7	proposed	propose	VERB
ijassa-806	166	8	algorithm	algorithm	NOUN
ijassa-806	166	9	is	be	AUX
ijassa-806	166	10	applied	apply	VERB
ijassa-806	166	11	on	on	ADP
ijassa-806	166	12	data	datum	NOUN
ijassa-806	166	13	and	and	CCONJ
ijassa-806	166	14	the	the	DET
ijassa-806	166	15	first	first	ADJ
ijassa-806	166	16	steps	step	NOUN
ijassa-806	166	17	concern	concern	NOUN
ijassa-806	166	18	lamda	lamda	VERB
ijassa-806	166	19	method	method	PROPN
ijassa-806	166	20	.	.	PUNCT
ijassa-806	167	1	however	however	ADV
ijassa-806	167	2	,	,	PUNCT
ijassa-806	167	3	as	as	SCONJ
ijassa-806	167	4	initial	initial	ADJ
ijassa-806	167	5	values	value	NOUN
ijassa-806	167	6	are	be	AUX
ijassa-806	167	7	evaluated	evaluate	VERB
ijassa-806	167	8	on	on	ADP
ijassa-806	167	9	different	different	ADJ
ijassa-806	167	10	scales	scale	NOUN
ijassa-806	167	11	,	,	PUNCT
ijassa-806	167	12	it	it	PRON
ijassa-806	167	13	is	be	AUX
ijassa-806	167	14	necessary	necessary	ADJ
ijassa-806	167	15	to	to	PART
ijassa-806	167	16	define	define	VERB
ijassa-806	167	17	a	a	DET
ijassa-806	167	18	context	context	NOUN
ijassa-806	167	19	which	which	PRON
ijassa-806	167	20	groups	group	NOUN
ijassa-806	167	21	normalized	normalize	VERB
ijassa-806	167	22	values	value	NOUN
ijassa-806	167	23	of	of	ADP
ijassa-806	167	24	descriptors	descriptor	NOUN
ijassa-806	167	25	.	.	PUNCT
ijassa-806	168	1	this	this	DET
ijassa-806	168	2	data	data	NOUN
ijassa-806	168	3	translation	translation	NOUN
ijassa-806	168	4	is	be	AUX
ijassa-806	168	5	supported	support	VERB
ijassa-806	168	6	in	in	ADP
ijassa-806	168	7	step	step	NOUN
ijassa-806	168	8	1	1	NUM
ijassa-806	168	9	of	of	ADP
ijassa-806	168	10	the	the	DET
ijassa-806	168	11	algorithm	algorithm	NOUN
ijassa-806	168	12	.	.	PUNCT
ijassa-806	169	1	the	the	DET
ijassa-806	169	2	normalization	normalization	NOUN
ijassa-806	169	3	(	(	PUNCT
ijassa-806	169	4	equation	equation	NOUN
ijassa-806	169	5	2.3	2.3	NUM
ijassa-806	169	6	)	)	PUNCT
ijassa-806	169	7	allows	allow	VERB
ijassa-806	169	8	values	value	NOUN
ijassa-806	169	9	to	to	PART
ijassa-806	169	10	always	always	ADV
ijassa-806	169	11	be	be	AUX
ijassa-806	169	12	in	in	ADP
ijassa-806	169	13	the	the	DET
ijassa-806	169	14	interval	interval	NOUN
ijassa-806	169	15	[	[	X
ijassa-806	169	16	0,1	0,1	X
ijassa-806	169	17	]	]	PUNCT
ijassa-806	169	18	and	and	CCONJ
ijassa-806	169	19	following	follow	VERB
ijassa-806	169	20	figure	figure	NOUN
ijassa-806	169	21	(	(	PUNCT
ijassa-806	169	22	fig	fig	NOUN
ijassa-806	169	23	.	.	PUNCT
ijassa-806	170	1	5.1	5.1	NUM
ijassa-806	170	2	)	)	PUNCT
ijassa-806	170	3	presents	present	VERB
ijassa-806	170	4	description	description	NOUN
ijassa-806	170	5	of	of	ADP
ijassa-806	170	6	context	context	NOUN
ijassa-806	170	7	obtained	obtain	VERB
ijassa-806	170	8	with	with	ADP
ijassa-806	170	9	the	the	DET
ijassa-806	170	10	new	new	ADJ
ijassa-806	170	11	values	value	NOUN
ijassa-806	170	12	normalized	normalize	VERB
ijassa-806	170	13	for	for	ADP
ijassa-806	170	14	the	the	DET
ijassa-806	170	15	two	two	NUM
ijassa-806	170	16	descriptors	descriptor	NOUN
ijassa-806	170	17	.	.	PUNCT
ijassa-806	171	1	fig	fig	NOUN
ijassa-806	171	2	.	.	PUNCT
ijassa-806	172	1	5.1	5.1	NUM
ijassa-806	172	2	.	.	PUNCT
ijassa-806	172	3	description	description	NOUN
ijassa-806	172	4	of	of	ADP
ijassa-806	172	5	the	the	DET
ijassa-806	172	6	context	context	NOUN
ijassa-806	172	7	two	two	NUM
ijassa-806	172	8	types	type	NOUN
ijassa-806	172	9	of	of	ADP
ijassa-806	172	10	classification	classification	NOUN
ijassa-806	172	11	(	(	PUNCT
ijassa-806	172	12	supervised	supervised	ADJ
ijassa-806	172	13	and	and	CCONJ
ijassa-806	172	14	recognition	recognition	NOUN
ijassa-806	172	15	)	)	PUNCT
ijassa-806	172	16	can	can	AUX
ijassa-806	172	17	be	be	AUX
ijassa-806	172	18	used	use	VERB
ijassa-806	172	19	in	in	ADP
ijassa-806	172	20	lamda	lamda	NOUN
ijassa-806	172	21	method	method	NOUN
ijassa-806	172	22	implementation	implementation	NOUN
ijassa-806	172	23	.	.	PUNCT
ijassa-806	173	1	in	in	ADP
ijassa-806	173	2	this	this	DET
ijassa-806	173	3	context	context	NOUN
ijassa-806	173	4	,	,	PUNCT
ijassa-806	173	5	a	a	DET
ijassa-806	173	6	classification	classification	NOUN
ijassa-806	173	7	rate	rate	NOUN
ijassa-806	173	8	(	(	PUNCT
ijassa-806	173	9	table	table	NOUN
ijassa-806	173	10	5.2	5.2	NUM
ijassa-806	173	11	)	)	PUNCT
ijassa-806	173	12	can	can	AUX
ijassa-806	173	13	be	be	AUX
ijassa-806	173	14	obtained	obtain	VERB
ijassa-806	173	15	by	by	ADP
ijassa-806	173	16	varying	vary	VERB
ijassa-806	173	17	the	the	DET
ijassa-806	173	18	three	three	NUM
ijassa-806	173	19	parameters	parameter	NOUN
ijassa-806	173	20	:	:	PUNCT
ijassa-806	173	21	the	the	DET
ijassa-806	173	22	first	first	ADJ
ijassa-806	173	23	one	one	NOUN
ijassa-806	173	24	is	be	AUX
ijassa-806	173	25	exigency	exigency	NOUN
ijassa-806	173	26	index	index	NOUN
ijassa-806	173	27	α	α	NOUN
ijassa-806	173	28	,	,	PUNCT
ijassa-806	173	29	getting	get	VERB
ijassa-806	173	30	values	value	NOUN
ijassa-806	173	31	in	in	ADP
ijassa-806	173	32	[	[	X
ijassa-806	173	33	0,1	0,1	NUM
ijassa-806	173	34	]	]	PUNCT
ijassa-806	173	35	.	.	PUNCT
ijassa-806	174	1	after	after	ADP
ijassa-806	174	2	simulation	simulation	NOUN
ijassa-806	174	3	,	,	PUNCT
ijassa-806	174	4	we	we	PRON
ijassa-806	174	5	retain	retain	VERB
ijassa-806	174	6	the	the	DET
ijassa-806	174	7	extreme	extreme	ADJ
ijassa-806	174	8	values	value	NOUN
ijassa-806	174	9	as	as	ADV
ijassa-806	174	10	well	well	ADV
ijassa-806	174	11	as	as	ADP
ijassa-806	174	12	two	two	NUM
ijassa-806	174	13	intermediate	intermediate	ADJ
ijassa-806	174	14	values	value	NOUN
ijassa-806	174	15	.	.	PUNCT
ijassa-806	175	1	the	the	DET
ijassa-806	175	2	second	second	ADJ
ijassa-806	175	3	parameter	parameter	NOUN
ijassa-806	175	4	are	be	AUX
ijassa-806	175	5	the	the	DET
ijassa-806	175	6	connectives	connective	NOUN
ijassa-806	175	7	and	and	CCONJ
ijassa-806	175	8	we	we	PRON
ijassa-806	175	9	used	use	VERB
ijassa-806	175	10	the	the	DET
ijassa-806	175	11	two	two	NUM
ijassa-806	175	12	most	most	ADV
ijassa-806	175	13	known	know	VERB
ijassa-806	175	14	family	family	NOUN
ijassa-806	175	15	(	(	PUNCT
ijassa-806	175	16	probabilistic	probabilistic	ADJ
ijassa-806	175	17	and	and	CCONJ
ijassa-806	175	18	the	the	DET
ijassa-806	175	19	minimum	minimum	ADJ
ijassa-806	175	20	-	-	PUNCT
ijassa-806	175	21	maximum	maximum	NOUN
ijassa-806	175	22	)	)	PUNCT
ijassa-806	175	23	for	for	ADP
ijassa-806	175	24	t	t	NOUN
ijassa-806	175	25	-	-	PUNCT
ijassa-806	175	26	norm	norm	NOUN
ijassa-806	175	27	and	and	CCONJ
ijassa-806	175	28	t	t	NOUN
ijassa-806	175	29	-	-	PUNCT
ijassa-806	175	30	conorm	conorm	NOUN
ijassa-806	175	31	values	value	NOUN
ijassa-806	175	32	.	.	PUNCT
ijassa-806	176	1	the	the	DET
ijassa-806	176	2	last	last	ADJ
ijassa-806	176	3	parameter	parameter	NOUN
ijassa-806	176	4	are	be	AUX
ijassa-806	176	5	the	the	DET
ijassa-806	176	6	two	two	NUM
ijassa-806	176	7	functions	function	NOUN
ijassa-806	176	8	lamda1	lamda1	NOUN
ijassa-806	176	9	and	and	CCONJ
ijassa-806	176	10	lamda2	lamda2	NOUN
ijassa-806	176	11	given	give	VERB
ijassa-806	176	12	by	by	ADP
ijassa-806	176	13	following	follow	VERB
ijassa-806	176	14	equations	equation	NOUN
ijassa-806	176	15	(	(	PUNCT
ijassa-806	176	16	2.1	2.1	NUM
ijassa-806	176	17	)	)	PUNCT
ijassa-806	176	18	and	and	CCONJ
ijassa-806	176	19	(	(	PUNCT
ijassa-806	176	20	2.2	2.2	NUM
ijassa-806	176	21	)	)	PUNCT
ijassa-806	176	22	,	,	PUNCT
ijassa-806	176	23	specified	specify	VERB
ijassa-806	176	24	previously	previously	ADV
ijassa-806	176	25	.	.	PUNCT
ijassa-806	177	1	0	0	NUM
ijassa-806	178	1	0,2	0,2	NUM
ijassa-806	178	2	0,4	0,4	NUM
ijassa-806	178	3	0,6	0,6	NUM
ijassa-806	178	4	0,8	0,8	NUM
ijassa-806	178	5	1	1	NUM
ijassa-806	178	6	1	1	NUM
ijassa-806	178	7	2	2	NUM
ijassa-806	178	8	3	3	NUM
ijassa-806	178	9	4	4	NUM
ijassa-806	178	10	5	5	NUM
ijassa-806	178	11	6	6	NUM
ijassa-806	178	12	7	7	NUM
ijassa-806	178	13	8	8	NUM
ijassa-806	178	14	9	9	NUM
ijassa-806	178	15	10	10	NUM
ijassa-806	178	16	11	11	NUM
ijassa-806	178	17	12	12	NUM
ijassa-806	178	18	13	13	NUM
ijassa-806	178	19	14	14	NUM
ijassa-806	178	20	15	15	NUM
ijassa-806	178	21	16	16	NUM
ijassa-806	178	22	17	17	NUM
ijassa-806	178	23	18	18	NUM
ijassa-806	178	24	19	19	NUM
ijassa-806	178	25	20	20	NUM
ijassa-806	178	26	21	21	NUM
ijassa-806	178	27	22	22	NUM
ijassa-806	178	28	23	23	NUM
ijassa-806	178	29	n	n	NOUN
ijassa-806	178	30	or	or	CCONJ
ijassa-806	178	31	m	m	VERB
ijassa-806	178	32	al	al	PROPN
ijassa-806	178	33	iz	iz	INTJ
ijassa-806	178	34	ed	ed	PROPN
ijassa-806	178	35	v	v	PROPN
ijassa-806	178	36	al	al	PROPN
ijassa-806	178	37	ue	ue	PROPN
ijassa-806	178	38	s	s	PART
ijassa-806	178	39	individuals	individual	NOUN
ijassa-806	178	40	left	leave	VERB
ijassa-806	178	41	spacing	space	VERB
ijassa-806	178	42	learning	learning	NOUN
ijassa-806	178	43	methods	method	NOUN
ijassa-806	178	44	for	for	ADP
ijassa-806	178	45	distributed	distributed	ADJ
ijassa-806	178	46	diagnosis	diagnosis	NOUN
ijassa-806	178	47	…	…	PUNCT
ijassa-806	178	48	123	123	NUM
ijassa-806	178	49	copyright	copyright	NOUN
ijassa-806	178	50	©	©	PROPN
ijassa-806	178	51	2023	2023	NUM
ijassa-806	178	52	assa	assa	NOUN
ijassa-806	178	53	.	.	PUNCT
ijassa-806	179	1	adv	adv	PROPN
ijassa-806	179	2	.	.	PUNCT
ijassa-806	180	1	in	in	ADP
ijassa-806	180	2	systems	system	NOUN
ijassa-806	180	3	science	science	NOUN
ijassa-806	180	4	and	and	CCONJ
ijassa-806	180	5	appl	appl	NOUN
ijassa-806	180	6	.	.	PUNCT
ijassa-806	181	1	(	(	PUNCT
ijassa-806	181	2	2023	2023	NUM
ijassa-806	181	3	)	)	PUNCT
ijassa-806	181	4	table	table	NOUN
ijassa-806	181	5	5.2	5.2	NUM
ijassa-806	181	6	.	.	PUNCT
ijassa-806	182	1	learning	learning	NOUN
ijassa-806	182	2	and	and	CCONJ
ijassa-806	182	3	recognition	recognition	NOUN
ijassa-806	182	4	rate	rate	NOUN
ijassa-806	182	5	corresponds	correspond	VERB
ijassa-806	182	6	to	to	ADP
ijassa-806	182	7	two	two	NUM
ijassa-806	182	8	types	type	NOUN
ijassa-806	182	9	of	of	ADP
ijassa-806	182	10	classification	classification	NOUN
ijassa-806	182	11	su	su	PROPN
ijassa-806	182	12	pe	pe	PROPN
ijassa-806	182	13	rv	rv	PROPN
ijassa-806	182	14	is	be	AUX
ijassa-806	182	15	ed	ed	NOUN
ijassa-806	182	16	c	c	NOUN
ijassa-806	182	17	la	la	INTJ
ijassa-806	182	18	ss	ss	PROPN
ijassa-806	183	1	if	if	SCONJ
ijassa-806	183	2	ic	ic	PROPN
ijassa-806	183	3	at	at	ADP
ijassa-806	183	4	io	io	PROPN
ijassa-806	183	5	n	n	ADP
ijassa-806	183	6	α	α	PROPN
ijassa-806	183	7	values	value	NOUN
ijassa-806	183	8	connectives	connective	NOUN
ijassa-806	183	9	functions	function	NOUN
ijassa-806	183	10	rate	rate	NOUN
ijassa-806	183	11	of	of	ADP
ijassa-806	183	12	learning	learning	NOUN
ijassa-806	183	13	and	and	CCONJ
ijassa-806	183	14	recognition	recognition	NOUN
ijassa-806	183	15	c	c	NOUN
ijassa-806	183	16	la	la	INTJ
ijassa-806	183	17	ss	ss	PROPN
ijassa-806	183	18	if	if	SCONJ
ijassa-806	183	19	ic	ic	PROPN
ijassa-806	183	20	at	at	ADP
ijassa-806	183	21	io	io	X
ijassa-806	183	22	n	n	PART
ijassa-806	183	23	by	by	ADP
ijassa-806	183	24	r	r	PROPN
ijassa-806	183	25	ec	ec	PROPN
ijassa-806	183	26	og	og	PROPN
ijassa-806	183	27	ni	ni	PROPN
ijassa-806	183	28	tio	tio	PROPN
ijassa-806	183	29	n	n	PRON
ijassa-806	183	30	rate	rate	NOUN
ijassa-806	183	31	of	of	ADP
ijassa-806	183	32	learning	learning	NOUN
ijassa-806	183	33	and	and	CCONJ
ijassa-806	183	34	recognition	recognition	NOUN
ijassa-806	183	35	0	0	PUNCT
ijassa-806	184	1	probab	probab	PROPN
ijassa-806	184	2	lamda1	lamda1	VERB
ijassa-806	184	3	69.56	69.56	NUM
ijassa-806	184	4	%	%	NOUN
ijassa-806	184	5	56.52	56.52	NUM
ijassa-806	184	6	%	%	NOUN
ijassa-806	184	7	class	class	NOUN
ijassa-806	184	8	nic	nic	PROPN
ijassa-806	184	9	{	{	PUNCT
ijassa-806	184	10	11,15,20	11,15,20	PROPN
ijassa-806	184	11	}	}	PUNCT
ijassa-806	184	12	lamda	lamda	VERB
ijassa-806	184	13	2	2	NUM
ijassa-806	184	14	47.82	47.82	NUM
ijassa-806	184	15	%	%	NOUN
ijassa-806	184	16	34.78	34.78	NUM
ijassa-806	184	17	%	%	NOUN
ijassa-806	184	18	class	class	NOUN
ijassa-806	184	19	nic	nic	PROPN
ijassa-806	184	20	{	{	PUNCT
ijassa-806	184	21	11,15,20,21	11,15,20,21	PROPN
ijassa-806	184	22	}	}	PUNCT
ijassa-806	184	23	minmax	minmax	X
ijassa-806	184	24	lamda1	lamda1	VERB
ijassa-806	185	1	52.17	52.17	NUM
ijassa-806	185	2	%	%	NOUN
ijassa-806	185	3	52.17	52.17	NUM
ijassa-806	185	4	%	%	NOUN
ijassa-806	185	5	lamda	lamda	VERB
ijassa-806	185	6	2	2	NUM
ijassa-806	185	7	47.82	47.82	NUM
ijassa-806	185	8	%	%	NOUN
ijassa-806	185	9	47.82	47.82	NUM
ijassa-806	185	10	%	%	NOUN
ijassa-806	185	11	0.3	0.3	NUM
ijassa-806	185	12	probab	probab	PROPN
ijassa-806	185	13	lamda1	lamda1	VERB
ijassa-806	186	1	73.91	73.91	NUM
ijassa-806	186	2	%	%	NOUN
ijassa-806	186	3	52.17	52.17	NUM
ijassa-806	186	4	%	%	NOUN
ijassa-806	186	5	class	class	NOUN
ijassa-806	186	6	nic	nic	PROPN
ijassa-806	186	7	{	{	PUNCT
ijassa-806	186	8	11,15,20,21	11,15,20,21	PROPN
ijassa-806	186	9	}	}	PUNCT
ijassa-806	186	10	lamda	lamda	VERB
ijassa-806	186	11	2	2	NUM
ijassa-806	186	12	47.82	47.82	NUM
ijassa-806	186	13	%	%	NOUN
ijassa-806	186	14	34.78	34.78	NUM
ijassa-806	186	15	%	%	NOUN
ijassa-806	186	16	class	class	NOUN
ijassa-806	186	17	nic	nic	PROPN
ijassa-806	186	18	{	{	PUNCT
ijassa-806	186	19	11,15,20,21	11,15,20,21	PROPN
ijassa-806	186	20	}	}	PUNCT
ijassa-806	186	21	minmax	minmax	X
ijassa-806	186	22	lamda1	lamda1	VERB
ijassa-806	186	23	69.56	69.56	NUM
ijassa-806	186	24	%	%	NOUN
ijassa-806	186	25	47.82	47.82	NUM
ijassa-806	186	26	%	%	NOUN
ijassa-806	186	27	class	class	NOUN
ijassa-806	186	28	cr{11	cr{11	NOUN
ijassa-806	186	29	}	}	PUNCT
ijassa-806	186	30	lamda	lamda	VERB
ijassa-806	186	31	2	2	NUM
ijassa-806	186	32	47.82	47.82	NUM
ijassa-806	186	33	%	%	NOUN
ijassa-806	186	34	47.82	47.82	NUM
ijassa-806	186	35	%	%	NOUN
ijassa-806	186	36	class	class	NOUN
ijassa-806	186	37	cr	cr	NOUN
ijassa-806	186	38	{	{	PUNCT
ijassa-806	186	39	11	11	NUM
ijassa-806	186	40	}	}	PUNCT
ijassa-806	186	41	0.7	0.7	NUM
ijassa-806	186	42	probab	probab	NOUN
ijassa-806	186	43	lamda1	lamda1	VERB
ijassa-806	186	44	73.91	73.91	NUM
ijassa-806	186	45	%	%	NOUN
ijassa-806	186	46	52.17	52.17	NUM
ijassa-806	186	47	%	%	NOUN
ijassa-806	186	48	class	class	NOUN
ijassa-806	186	49	nic	nic	PROPN
ijassa-806	186	50	{	{	PUNCT
ijassa-806	186	51	11,15,20,21	11,15,20,21	PROPN
ijassa-806	186	52	}	}	PUNCT
ijassa-806	186	53	lamda	lamda	VERB
ijassa-806	186	54	2	2	NUM
ijassa-806	186	55	47.82	47.82	NUM
ijassa-806	186	56	%	%	NOUN
ijassa-806	186	57	34.72	34.72	NUM
ijassa-806	186	58	%	%	NOUN
ijassa-806	186	59	class	class	NOUN
ijassa-806	186	60	nic	nic	PROPN
ijassa-806	186	61	{	{	PUNCT
ijassa-806	186	62	11,15,20,21	11,15,20,21	PROPN
ijassa-806	186	63	}	}	PUNCT
ijassa-806	186	64	minmax	minmax	X
ijassa-806	186	65	lamda1	lamda1	NOUN
ijassa-806	187	1	73.91	73.91	NUM
ijassa-806	187	2	%	%	NOUN
ijassa-806	187	3	60.86	60.86	NUM
ijassa-806	187	4	%	%	NOUN
ijassa-806	187	5	lamda	lamda	VERB
ijassa-806	187	6	2	2	NUM
ijassa-806	187	7	73.91	73.91	NUM
ijassa-806	187	8	%	%	NOUN
ijassa-806	187	9	39.13	39.13	NUM
ijassa-806	187	10	%	%	NOUN
ijassa-806	187	11	class	class	NOUN
ijassa-806	187	12	nic	nic	PROPN
ijassa-806	187	13	{	{	PUNCT
ijassa-806	187	14	11,15,20,21	11,15,20,21	PROPN
ijassa-806	187	15	}	}	PUNCT
ijassa-806	187	16	1	1	NUM
ijassa-806	187	17	probab	probab	NOUN
ijassa-806	187	18	lamda1	lamda1	VERB
ijassa-806	188	1	73.91	73.91	NUM
ijassa-806	188	2	%	%	NOUN
ijassa-806	188	3	56.52	56.52	NUM
ijassa-806	188	4	%	%	NOUN
ijassa-806	188	5	class	class	NOUN
ijassa-806	188	6	nic	nic	PROPN
ijassa-806	188	7	{	{	PUNCT
ijassa-806	188	8	11,15,20,21	11,15,20,21	PROPN
ijassa-806	188	9	}	}	PUNCT
ijassa-806	188	10	lamda	lamda	VERB
ijassa-806	188	11	2	2	NUM
ijassa-806	188	12	43.47	43.47	NUM
ijassa-806	188	13	%	%	NOUN
ijassa-806	188	14	34.78	34.78	NUM
ijassa-806	188	15	%	%	NOUN
ijassa-806	188	16	class	class	NOUN
ijassa-806	188	17	nic	nic	PROPN
ijassa-806	188	18	{	{	PUNCT
ijassa-806	188	19	11,15,20,21	11,15,20,21	PROPN
ijassa-806	188	20	}	}	PUNCT
ijassa-806	188	21	minmax	minmax	X
ijassa-806	188	22	lamda1	lamda1	VERB
ijassa-806	189	1	65.21	65.21	NUM
ijassa-806	189	2	%	%	NOUN
ijassa-806	189	3	43.47	43.47	NUM
ijassa-806	189	4	%	%	NOUN
ijassa-806	189	5	class	class	NOUN
ijassa-806	189	6	nic	nic	PROPN
ijassa-806	189	7	{	{	PUNCT
ijassa-806	189	8	3,5,6,7,11	3,5,6,7,11	PROPN
ijassa-806	189	9	,	,	PUNCT
ijassa-806	189	10	13,14,15,19,20,21	13,14,15,19,20,21	NUM
ijassa-806	189	11	}	}	PUNCT
ijassa-806	189	12	lamda	lamda	VERB
ijassa-806	189	13	2	2	NUM
ijassa-806	189	14	65.21	65.21	NUM
ijassa-806	189	15	%	%	NOUN
ijassa-806	189	16	34.78	34.78	NUM
ijassa-806	189	17	%	%	NOUN
ijassa-806	189	18	class	class	NOUN
ijassa-806	189	19	nic	nic	PROPN
ijassa-806	189	20	{	{	PUNCT
ijassa-806	189	21	3,5,6,7,11	3,5,6,7,11	PROPN
ijassa-806	189	22	,	,	PUNCT
ijassa-806	189	23	13,14,15,19,20,21	13,14,15,19,20,21	NUM
ijassa-806	189	24	}	}	PUNCT
ijassa-806	189	25	from	from	ADP
ijassa-806	189	26	the	the	DET
ijassa-806	189	27	table	table	NOUN
ijassa-806	189	28	,	,	PUNCT
ijassa-806	189	29	difference	difference	NOUN
ijassa-806	189	30	between	between	ADP
ijassa-806	189	31	the	the	DET
ijassa-806	189	32	two	two	NUM
ijassa-806	189	33	classification	classification	NOUN
ijassa-806	189	34	modes	mode	NOUN
ijassa-806	189	35	is	be	AUX
ijassa-806	189	36	appearance	appearance	NOUN
ijassa-806	189	37	of	of	ADP
ijassa-806	189	38	the	the	DET
ijassa-806	189	39	non	non	ADJ
ijassa-806	189	40	-	-	ADJ
ijassa-806	189	41	informative	informative	ADJ
ijassa-806	189	42	class	class	NOUN
ijassa-806	189	43	(	(	PUNCT
ijassa-806	189	44	nic	nic	PROPN
ijassa-806	189	45	)	)	PUNCT
ijassa-806	189	46	in	in	ADP
ijassa-806	189	47	recognition	recognition	NOUN
ijassa-806	189	48	classification	classification	NOUN
ijassa-806	189	49	.	.	PUNCT
ijassa-806	190	1	in	in	ADP
ijassa-806	190	2	this	this	DET
ijassa-806	190	3	case	case	NOUN
ijassa-806	190	4	,	,	PUNCT
ijassa-806	190	5	to	to	PART
ijassa-806	190	6	improve	improve	VERB
ijassa-806	190	7	the	the	DET
ijassa-806	190	8	rate	rate	NOUN
ijassa-806	190	9	keeping	keep	VERB
ijassa-806	190	10	same	same	ADJ
ijassa-806	190	11	parameters	parameter	NOUN
ijassa-806	190	12	,	,	PUNCT
ijassa-806	190	13	next	next	ADJ
ijassa-806	190	14	steps	step	NOUN
ijassa-806	190	15	of	of	ADP
ijassa-806	190	16	the	the	DET
ijassa-806	190	17	proposed	propose	VERB
ijassa-806	190	18	algorithm	algorithm	NOUN
ijassa-806	190	19	are	be	AUX
ijassa-806	190	20	applied	apply	VERB
ijassa-806	190	21	.	.	PUNCT
ijassa-806	191	1	it	it	PRON
ijassa-806	191	2	consists	consist	VERB
ijassa-806	191	3	in	in	ADP
ijassa-806	191	4	knn	knn	PROPN
ijassa-806	191	5	method	method	NOUN
ijassa-806	191	6	implementation	implementation	NOUN
ijassa-806	191	7	on	on	ADP
ijassa-806	191	8	elements	element	NOUN
ijassa-806	191	9	belonging	belong	VERB
ijassa-806	191	10	to	to	ADP
ijassa-806	191	11	residual	residual	ADJ
ijassa-806	191	12	class	class	NOUN
ijassa-806	191	13	(	(	PUNCT
ijassa-806	191	14	rc	rc	PROPN
ijassa-806	191	15	)	)	PUNCT
ijassa-806	191	16	,	,	PUNCT
ijassa-806	191	17	which	which	PRON
ijassa-806	191	18	has	have	VERB
ijassa-806	191	19	the	the	DET
ijassa-806	191	20	same	same	ADJ
ijassa-806	191	21	characteristics	characteristic	NOUN
ijassa-806	191	22	that	that	PRON
ijassa-806	191	23	the	the	DET
ijassa-806	191	24	nic	nic	PROPN
ijassa-806	191	25	.	.	PUNCT
ijassa-806	192	1	so	so	ADV
ijassa-806	192	2	,	,	PUNCT
ijassa-806	192	3	individuals	individual	NOUN
ijassa-806	192	4	already	already	ADV
ijassa-806	192	5	classified	classify	VERB
ijassa-806	192	6	in	in	ADP
ijassa-806	192	7	the	the	DET
ijassa-806	192	8	nic	nic	PROPN
ijassa-806	192	9	are	be	AUX
ijassa-806	192	10	ranking	rank	VERB
ijassa-806	192	11	again	again	ADV
ijassa-806	192	12	by	by	ADP
ijassa-806	192	13	adopting	adopt	VERB
ijassa-806	192	14	set	set	NOUN
ijassa-806	192	15	of	of	ADP
ijassa-806	192	16	last	last	ADJ
ijassa-806	192	17	steps	step	NOUN
ijassa-806	192	18	of	of	ADP
ijassa-806	192	19	the	the	DET
ijassa-806	192	20	classification	classification	NOUN
ijassa-806	192	21	algorithm	algorithm	NOUN
ijassa-806	192	22	.	.	PUNCT
ijassa-806	193	1	final	final	ADJ
ijassa-806	193	2	results	result	NOUN
ijassa-806	193	3	will	will	AUX
ijassa-806	193	4	be	be	AUX
ijassa-806	193	5	compared	compare	VERB
ijassa-806	193	6	with	with	ADP
ijassa-806	193	7	results	result	NOUN
ijassa-806	193	8	whose	whose	DET
ijassa-806	193	9	learning	learning	NOUN
ijassa-806	193	10	is	be	AUX
ijassa-806	193	11	supervised	supervise	VERB
ijassa-806	193	12	while	while	SCONJ
ijassa-806	193	13	preserving	preserve	VERB
ijassa-806	193	14	same	same	ADJ
ijassa-806	193	15	parameters	parameter	NOUN
ijassa-806	193	16	predefined	predefine	VERB
ijassa-806	193	17	by	by	ADP
ijassa-806	193	18	the	the	DET
ijassa-806	193	19	expert	expert	NOUN
ijassa-806	193	20	.	.	PUNCT
ijassa-806	194	1	5.2	5.2	NUM
ijassa-806	194	2	.	.	PUNCT
ijassa-806	194	3	application	application	NOUN
ijassa-806	194	4	of	of	ADP
ijassa-806	194	5	the	the	DET
ijassa-806	194	6	k	k	PROPN
ijassa-806	194	7	-	-	PUNCT
ijassa-806	194	8	nn	nn	PROPN
ijassa-806	194	9	method	method	PROPN
ijassa-806	194	10	5.2.1	5.2.1	NUM
ijassa-806	194	11	.	.	PUNCT
ijassa-806	195	1	identification	identification	NOUN
ijassa-806	195	2	of	of	ADP
ijassa-806	195	3	residual	residual	ADJ
ijassa-806	195	4	class	class	NOUN
ijassa-806	195	5	let	let	VERB
ijassa-806	195	6	us	we	PRON
ijassa-806	195	7	take	take	VERB
ijassa-806	195	8	the	the	DET
ijassa-806	195	9	classification	classification	NOUN
ijassa-806	195	10	obtained	obtain	VERB
ijassa-806	195	11	by	by	ADP
ijassa-806	195	12	recognition	recognition	NOUN
ijassa-806	195	13	and	and	CCONJ
ijassa-806	195	14	two	two	NUM
ijassa-806	195	15	cases	case	NOUN
ijassa-806	195	16	can	can	AUX
ijassa-806	195	17	appear	appear	VERB
ijassa-806	195	18	following	follow	VERB
ijassa-806	195	19	two	two	NUM
ijassa-806	195	20	or	or	CCONJ
ijassa-806	195	21	three	three	NUM
ijassa-806	195	22	classes	class	NOUN
ijassa-806	195	23	,	,	PUNCT
ijassa-806	195	24	with	with	ADP
ijassa-806	195	25	the	the	DET
ijassa-806	195	26	rc	rc	PROPN
ijassa-806	195	27	identification	identification	NOUN
ijassa-806	195	28	(	(	PUNCT
ijassa-806	195	29	class	class	NOUN
ijassa-806	195	30	0	0	NUM
ijassa-806	195	31	)	)	PUNCT
ijassa-806	195	32	.	.	PUNCT
ijassa-806	196	1	for	for	ADP
ijassa-806	196	2	example	example	NOUN
ijassa-806	196	3	,	,	PUNCT
ijassa-806	196	4	look	look	VERB
ijassa-806	196	5	at	at	ADP
ijassa-806	196	6	following	follow	VERB
ijassa-806	196	7	two	two	NUM
ijassa-806	196	8	cases	case	NOUN
ijassa-806	196	9	(	(	PUNCT
ijassa-806	196	10	fig	fig	NOUN
ijassa-806	196	11	.	.	PUNCT
ijassa-806	197	1	5.2	5.2	NUM
ijassa-806	197	2	,	,	PUNCT
ijassa-806	197	3	a	a	PRON
ijassa-806	197	4	and	and	CCONJ
ijassa-806	197	5	b	b	NOUN
ijassa-806	197	6	)	)	PUNCT
ijassa-806	197	7	defined	define	VERB
ijassa-806	197	8	with	with	ADP
ijassa-806	197	9	specific	specific	ADJ
ijassa-806	197	10	values	value	NOUN
ijassa-806	197	11	for	for	ADP
ijassa-806	197	12	the	the	DET
ijassa-806	197	13	three	three	NUM
ijassa-806	197	14	parameters	parameter	NOUN
ijassa-806	197	15	(	(	PUNCT
ijassa-806	197	16	exigency	exigency	PROPN
ijassa-806	197	17	index	index	NOUN
ijassa-806	197	18	α	α	NOUN
ijassa-806	197	19	,	,	PUNCT
ijassa-806	197	20	connectives	connective	NOUN
ijassa-806	197	21	and	and	CCONJ
ijassa-806	197	22	functions	function	NOUN
ijassa-806	197	23	)	)	PUNCT
ijassa-806	197	24	.	.	PUNCT
ijassa-806	198	1	the	the	DET
ijassa-806	198	2	first	first	ADJ
ijassa-806	198	3	case	case	NOUN
ijassa-806	198	4	(	(	PUNCT
ijassa-806	198	5	parameters	parameter	NOUN
ijassa-806	198	6	:	:	PUNCT
ijassa-806	198	7	0.3	0.3	NUM
ijassa-806	198	8	,	,	PUNCT
ijassa-806	198	9	probab	probab	PROPN
ijassa-806	198	10	,	,	PUNCT
ijassa-806	198	11	lamda1	lamda1	ADJ
ijassa-806	198	12	)	)	PUNCT
ijassa-806	198	13	gives	give	VERB
ijassa-806	198	14	the	the	DET
ijassa-806	198	15	presence	presence	NOUN
ijassa-806	198	16	of	of	ADP
ijassa-806	198	17	three	three	NUM
ijassa-806	198	18	classes	class	NOUN
ijassa-806	198	19	:	:	PUNCT
ijassa-806	198	20	class	class	NOUN
ijassa-806	198	21	1	1	NUM
ijassa-806	198	22	is	be	AUX
ijassa-806	198	23	{	{	PUNCT
ijassa-806	198	24	1,3,5	1,3,5	NUM
ijassa-806	198	25	-	-	PUNCT
ijassa-806	198	26	7,9,10,12,13,16	7,9,10,12,13,16	NUM
ijassa-806	198	27	-	-	NUM
ijassa-806	198	28	19,23	19,23	NOUN
ijassa-806	198	29	}	}	PUNCT
ijassa-806	198	30	,	,	PUNCT
ijassa-806	198	31	class	class	NOUN
ijassa-806	198	32	2	2	NUM
ijassa-806	198	33	is	be	AUX
ijassa-806	198	34	{	{	PUNCT
ijassa-806	198	35	2,4,8,14,22	2,4,8,14,22	NOUN
ijassa-806	198	36	}	}	PUNCT
ijassa-806	198	37	and	and	CCONJ
ijassa-806	198	38	{	{	PUNCT
ijassa-806	198	39	11,15,20,21	11,15,20,21	NUM
ijassa-806	198	40	}	}	PUNCT
ijassa-806	198	41	for	for	ADP
ijassa-806	198	42	rc	rc	PROPN
ijassa-806	198	43	.	.	PUNCT
ijassa-806	199	1	the	the	DET
ijassa-806	199	2	second	second	ADJ
ijassa-806	199	3	one	one	NOUN
ijassa-806	199	4	(	(	PUNCT
ijassa-806	199	5	parameters	parameter	NOUN
ijassa-806	199	6	:	:	PUNCT
ijassa-806	199	7	1	1	NUM
ijassa-806	199	8	,	,	PUNCT
ijassa-806	199	9	minmax	minmax	X
ijassa-806	199	10	,	,	PUNCT
ijassa-806	199	11	lamda2	lamda2	NOUN
ijassa-806	199	12	)	)	PUNCT
ijassa-806	199	13	deals	deal	NOUN
ijassa-806	199	14	with	with	ADP
ijassa-806	199	15	two	two	NUM
ijassa-806	199	16	classes	class	NOUN
ijassa-806	199	17	:	:	PUNCT
ijassa-806	199	18	{	{	PUNCT
ijassa-806	199	19	1,2,4,8	1,2,4,8	NUM
ijassa-806	199	20	-	-	NUM
ijassa-806	199	21	10,12	10,12	ADJ
ijassa-806	199	22	,	,	PUNCT
ijassa-806	199	23	1618,22,23	1618,22,23	NUM
ijassa-806	199	24	}	}	PUNCT
ijassa-806	199	25	for	for	ADP
ijassa-806	199	26	class	class	NOUN
ijassa-806	199	27	2	2	NUM
ijassa-806	199	28	and	and	CCONJ
ijassa-806	199	29	{	{	PUNCT
ijassa-806	199	30	3,5	3,5	NUM
ijassa-806	199	31	-	-	NUM
ijassa-806	199	32	7,11,13	7,11,13	NUM
ijassa-806	199	33	-	-	SYM
ijassa-806	199	34	15	15	NUM
ijassa-806	199	35	,	,	PUNCT
ijassa-806	199	36	19	19	NUM
ijassa-806	199	37	-	-	SYM
ijassa-806	199	38	21	21	NUM
ijassa-806	199	39	}	}	PUNCT
ijassa-806	199	40	for	for	ADP
ijassa-806	199	41	rc	rc	PROPN
ijassa-806	199	42	.	.	PROPN
ijassa-806	199	43	124	124	NUM
ijassa-806	199	44	h.	h.	PROPN
ijassa-806	199	45	serradj	serradj	PROPN
ijassa-806	199	46	,	,	PUNCT
ijassa-806	199	47	m.	m.	NOUN
ijassa-806	199	48	noureddine	noureddine	ADP
ijassa-806	199	49	copyright	copyright	NOUN
ijassa-806	199	50	©	©	PROPN
ijassa-806	199	51	2023	2023	NUM
ijassa-806	199	52	assa	assa	PROPN
ijassa-806	199	53	adv	adv	PROPN
ijassa-806	199	54	.	.	PUNCT
ijassa-806	200	1	in	in	ADP
ijassa-806	200	2	systems	system	NOUN
ijassa-806	200	3	science	science	NOUN
ijassa-806	200	4	and	and	CCONJ
ijassa-806	200	5	appl	appl	NOUN
ijassa-806	200	6	.	.	PUNCT
ijassa-806	201	1	(	(	PUNCT
ijassa-806	201	2	2023	2023	NUM
ijassa-806	201	3	)	)	PUNCT
ijassa-806	201	4	fig	fig	NOUN
ijassa-806	201	5	.	.	PUNCT
ijassa-806	202	1	5.2	5.2	NUM
ijassa-806	202	2	.	.	PUNCT
ijassa-806	202	3	identification	identification	NOUN
ijassa-806	202	4	of	of	ADP
ijassa-806	202	5	residual	residual	ADJ
ijassa-806	202	6	class	class	NOUN
ijassa-806	202	7	consider	consider	VERB
ijassa-806	202	8	the	the	DET
ijassa-806	202	9	highest	high	ADJ
ijassa-806	202	10	value	value	NOUN
ijassa-806	202	11	for	for	ADP
ijassa-806	202	12	exigency	exigency	PROPN
ijassa-806	202	13	index	index	NOUN
ijassa-806	202	14	,	,	PUNCT
ijassa-806	202	15	which	which	PRON
ijassa-806	202	16	is	be	AUX
ijassa-806	202	17	located	locate	VERB
ijassa-806	202	18	in	in	ADP
ijassa-806	202	19	the	the	DET
ijassa-806	202	20	case	case	NOUN
ijassa-806	202	21	2	2	NUM
ijassa-806	202	22	;	;	PUNCT
ijassa-806	202	23	in	in	ADP
ijassa-806	202	24	this	this	DET
ijassa-806	202	25	case	case	NOUN
ijassa-806	202	26	,	,	PUNCT
ijassa-806	202	27	recognition	recognition	NOUN
ijassa-806	202	28	rate	rate	NOUN
ijassa-806	202	29	is	be	AUX
ijassa-806	202	30	65.21	65.21	NUM
ijassa-806	202	31	%	%	NOUN
ijassa-806	202	32	in	in	ADP
ijassa-806	202	33	supervised	supervised	ADJ
ijassa-806	202	34	classification	classification	NOUN
ijassa-806	202	35	mode	mode	NOUN
ijassa-806	202	36	.	.	PUNCT
ijassa-806	203	1	with	with	ADP
ijassa-806	203	2	same	same	ADJ
ijassa-806	203	3	parameters	parameter	NOUN
ijassa-806	203	4	,	,	PUNCT
ijassa-806	203	5	in	in	ADP
ijassa-806	203	6	classification	classification	NOUN
ijassa-806	203	7	by	by	ADP
ijassa-806	203	8	recognition	recognition	NOUN
ijassa-806	203	9	the	the	DET
ijassa-806	203	10	rate	rate	NOUN
ijassa-806	203	11	is	be	AUX
ijassa-806	203	12	34.78	34.78	NUM
ijassa-806	203	13	%	%	NOUN
ijassa-806	203	14	with	with	ADP
ijassa-806	203	15	the	the	DET
ijassa-806	203	16	appearance	appearance	NOUN
ijassa-806	203	17	of	of	ADP
ijassa-806	203	18	rc	rc	PROPN
ijassa-806	203	19	giving	give	VERB
ijassa-806	203	20	unrecognized	unrecognize	VERB
ijassa-806	203	21	individuals	individual	NOUN
ijassa-806	203	22	.	.	PUNCT
ijassa-806	204	1	these	these	DET
ijassa-806	204	2	elements	element	NOUN
ijassa-806	204	3	are	be	AUX
ijassa-806	204	4	reclassifying	reclassify	VERB
ijassa-806	204	5	by	by	ADP
ijassa-806	204	6	application	application	NOUN
ijassa-806	204	7	of	of	ADP
ijassa-806	204	8	the	the	DET
ijassa-806	204	9	two	two	NUM
ijassa-806	204	10	last	last	ADJ
ijassa-806	204	11	steps	step	NOUN
ijassa-806	204	12	of	of	ADP
ijassa-806	204	13	the	the	DET
ijassa-806	204	14	proposed	propose	VERB
ijassa-806	204	15	algorithm	algorithm	NOUN
ijassa-806	204	16	through	through	ADP
ijassa-806	204	17	classifier	classifier	PROPN
ijassa-806	204	18	k	k	PROPN
ijassa-806	204	19	-	-	PUNCT
ijassa-806	204	20	nn	nn	PROPN
ijassa-806	204	21	,	,	PUNCT
ijassa-806	204	22	in	in	ADP
ijassa-806	204	23	order	order	NOUN
ijassa-806	204	24	to	to	PART
ijassa-806	204	25	improve	improve	VERB
ijassa-806	204	26	classification	classification	NOUN
ijassa-806	204	27	rate	rate	NOUN
ijassa-806	204	28	by	by	ADP
ijassa-806	204	29	recognition	recognition	NOUN
ijassa-806	204	30	.	.	PUNCT
ijassa-806	205	1	5.2.2	5.2.2	X
ijassa-806	205	2	.	.	PUNCT
ijassa-806	206	1	reclassification	reclassification	NOUN
ijassa-806	206	2	of	of	ADP
ijassa-806	206	3	the	the	DET
ijassa-806	206	4	6th	6th	ADJ
ijassa-806	206	5	individual	individual	NOUN
ijassa-806	206	6	for	for	ADP
ijassa-806	206	7	illustration	illustration	NOUN
ijassa-806	206	8	,	,	PUNCT
ijassa-806	206	9	we	we	PRON
ijassa-806	206	10	apply	apply	VERB
ijassa-806	206	11	the	the	DET
ijassa-806	206	12	method	method	NOUN
ijassa-806	206	13	on	on	ADP
ijassa-806	206	14	one	one	NUM
ijassa-806	206	15	element	element	NOUN
ijassa-806	206	16	of	of	ADP
ijassa-806	206	17	rc	rc	PROPN
ijassa-806	206	18	,	,	PUNCT
ijassa-806	206	19	the	the	DET
ijassa-806	206	20	6th	6th	ADJ
ijassa-806	206	21	individual	individual	NOUN
ijassa-806	206	22	.	.	PUNCT
ijassa-806	207	1	values	value	NOUN
ijassa-806	207	2	of	of	ADP
ijassa-806	207	3	the	the	DET
ijassa-806	207	4	two	two	NUM
ijassa-806	207	5	descriptors	descriptor	NOUN
ijassa-806	207	6	l	l	NOUN
ijassa-806	207	7	and	and	CCONJ
ijassa-806	207	8	s	s	VERB
ijassa-806	207	9	are	be	AUX
ijassa-806	207	10	respectively	respectively	ADV
ijassa-806	207	11	1.500	1.500	NUM
ijassa-806	207	12	and	and	CCONJ
ijassa-806	207	13	1435.500	1435.500	NUM
ijassa-806	207	14	;	;	PUNCT
ijassa-806	207	15	this	this	DET
ijassa-806	207	16	element	element	NOUN
ijassa-806	207	17	has	have	VERB
ijassa-806	207	18	three	three	NUM
ijassa-806	207	19	neighbors	neighbor	NOUN
ijassa-806	207	20	(	(	PUNCT
ijassa-806	207	21	k=3	k=3	X
ijassa-806	207	22	):	):	PUNCT
ijassa-806	207	23	the	the	DET
ijassa-806	207	24	4th	4th	ADJ
ijassa-806	207	25	,	,	PUNCT
ijassa-806	207	26	8th	8th	ADJ
ijassa-806	207	27	and	and	CCONJ
ijassa-806	207	28	9th	9th	ADJ
ijassa-806	207	29	individual	individual	NOUN
ijassa-806	207	30	.	.	PUNCT
ijassa-806	208	1	following	follow	VERB
ijassa-806	208	2	the	the	DET
ijassa-806	208	3	reference	reference	NOUN
ijassa-806	208	4	classification	classification	NOUN
ijassa-806	208	5	,	,	PUNCT
ijassa-806	208	6	the	the	DET
ijassa-806	208	7	9th	9th	NOUN
ijassa-806	208	8	belongs	belong	VERB
ijassa-806	208	9	to	to	ADP
ijassa-806	208	10	class	class	NOUN
ijassa-806	208	11	1	1	NUM
ijassa-806	208	12	and	and	CCONJ
ijassa-806	208	13	the	the	DET
ijassa-806	208	14	two	two	NUM
ijassa-806	208	15	others	other	NOUN
ijassa-806	208	16	elements	element	NOUN
ijassa-806	208	17	belong	belong	VERB
ijassa-806	208	18	to	to	ADP
ijassa-806	208	19	class	class	NOUN
ijassa-806	208	20	2	2	NUM
ijassa-806	208	21	.	.	PUNCT
ijassa-806	209	1	so	so	ADV
ijassa-806	209	2	,	,	PUNCT
ijassa-806	209	3	euclidean	euclidean	ADJ
ijassa-806	209	4	distance	distance	NOUN
ijassa-806	209	5	between	between	ADP
ijassa-806	209	6	this	this	DET
ijassa-806	209	7	6th	6th	ADJ
ijassa-806	209	8	individual	individual	NOUN
ijassa-806	209	9	and	and	CCONJ
ijassa-806	209	10	his	his	PRON
ijassa-806	209	11	neighbors	neighbor	NOUN
ijassa-806	209	12	is	be	AUX
ijassa-806	209	13	calculated	calculate	VERB
ijassa-806	209	14	(	(	PUNCT
ijassa-806	209	15	table	table	NOUN
ijassa-806	209	16	5.3	5.3	NUM
ijassa-806	209	17	)	)	PUNCT
ijassa-806	209	18	,	,	PUNCT
ijassa-806	209	19	by	by	ADP
ijassa-806	209	20	application	application	NOUN
ijassa-806	209	21	of	of	ADP
ijassa-806	209	22	equation	equation	NOUN
ijassa-806	209	23	(	(	PUNCT
ijassa-806	209	24	2.5	2.5	NUM
ijassa-806	209	25	)	)	PUNCT
ijassa-806	209	26	defined	define	VERB
ijassa-806	209	27	previously	previously	ADV
ijassa-806	209	28	.	.	PUNCT
ijassa-806	210	1	table	table	NOUN
ijassa-806	210	2	5.3	5.3	NUM
ijassa-806	210	3	.	.	PUNCT
ijassa-806	211	1	calculation	calculation	NOUN
ijassa-806	211	2	for	for	ADP
ijassa-806	211	3	the	the	DET
ijassa-806	211	4	reclassification	reclassification	NOUN
ijassa-806	211	5	of	of	ADP
ijassa-806	211	6	the	the	DET
ijassa-806	211	7	6th	6th	ADJ
ijassa-806	211	8	individual	individual	ADJ
ijassa-806	211	9	neighbors	neighbor	NOUN
ijassa-806	211	10	class	class	NOUN
ijassa-806	211	11	descriptors	descriptor	NOUN
ijassa-806	211	12	(	(	PUNCT
ijassa-806	211	13	l	l	X
ijassa-806	211	14	_	_	PUNCT
ijassa-806	211	15	s	s	X
ijassa-806	211	16	)	)	PUNCT
ijassa-806	211	17	distance	distance	NOUN
ijassa-806	211	18	4	4	NUM
ijassa-806	211	19	2	2	NUM
ijassa-806	211	20	(	(	PUNCT
ijassa-806	211	21	14.4_1420.9	14.4_1420.9	NUM
ijassa-806	211	22	)	)	PUNCT
ijassa-806	211	23	19.48	19.48	NUM
ijassa-806	211	24	8	8	NUM
ijassa-806	211	25	2	2	NUM
ijassa-806	211	26	(	(	PUNCT
ijassa-806	211	27	12.6_1435	12.6_1435	NUM
ijassa-806	211	28	)	)	PUNCT
ijassa-806	211	29	11.11	11.11	NUM
ijassa-806	211	30	9	9	NUM
ijassa-806	211	31	1	1	NUM
ijassa-806	211	32	(	(	PUNCT
ijassa-806	211	33	8.6	8.6	NUM
ijassa-806	211	34	_	_	NOUN
ijassa-806	211	35	1435	1435	NUM
ijassa-806	211	36	)	)	PUNCT
ijassa-806	211	37	7.11	7.11	NUM
ijassa-806	211	38	this	this	DET
ijassa-806	211	39	element	element	NOUN
ijassa-806	211	40	belongs	belong	VERB
ijassa-806	211	41	to	to	ADP
ijassa-806	211	42	class	class	NOUN
ijassa-806	211	43	which	which	PRON
ijassa-806	211	44	has	have	VERB
ijassa-806	211	45	the	the	DET
ijassa-806	211	46	lower	low	ADJ
ijassa-806	211	47	evaluated	evaluate	VERB
ijassa-806	211	48	distance	distance	NOUN
ijassa-806	211	49	compared	compare	VERB
ijassa-806	211	50	to	to	ADP
ijassa-806	211	51	other	other	ADJ
ijassa-806	211	52	neighbors	neighbor	NOUN
ijassa-806	211	53	.	.	PUNCT
ijassa-806	212	1	hence	hence	ADV
ijassa-806	212	2	,	,	PUNCT
ijassa-806	212	3	the	the	DET
ijassa-806	212	4	6th	6th	ADJ
ijassa-806	212	5	individual	individual	NOUN
ijassa-806	212	6	belongs	belong	VERB
ijassa-806	212	7	to	to	ADP
ijassa-806	212	8	class	class	NOUN
ijassa-806	212	9	1	1	NUM
ijassa-806	212	10	as	as	SCONJ
ijassa-806	212	11	its	its	PRON
ijassa-806	212	12	distance	distance	NOUN
ijassa-806	212	13	is	be	AUX
ijassa-806	212	14	the	the	DET
ijassa-806	212	15	smallest	small	ADJ
ijassa-806	212	16	from	from	ADP
ijassa-806	212	17	all	all	DET
ijassa-806	212	18	calculated	calculated	ADJ
ijassa-806	212	19	distances	distance	NOUN
ijassa-806	212	20	.	.	PUNCT
ijassa-806	213	1	5.2.3	5.2.3	X
ijassa-806	213	2	.	.	PUNCT
ijassa-806	214	1	reclassification	reclassification	NOUN
ijassa-806	214	2	of	of	ADP
ijassa-806	214	3	all	all	DET
ijassa-806	214	4	elements	element	NOUN
ijassa-806	214	5	same	same	ADJ
ijassa-806	214	6	approach	approach	NOUN
ijassa-806	214	7	is	be	AUX
ijassa-806	214	8	applied	apply	VERB
ijassa-806	214	9	on	on	ADP
ijassa-806	214	10	full	full	ADJ
ijassa-806	214	11	elements	element	NOUN
ijassa-806	214	12	of	of	ADP
ijassa-806	214	13	rc	rc	PROPN
ijassa-806	214	14	;	;	PUNCT
ijassa-806	214	15	table	table	NOUN
ijassa-806	214	16	5.4	5.4	NUM
ijassa-806	214	17	summarizes	summarize	NOUN
ijassa-806	214	18	the	the	DET
ijassa-806	214	19	classification	classification	NOUN
ijassa-806	214	20	decision	decision	NOUN
ijassa-806	214	21	for	for	ADP
ijassa-806	214	22	all	all	DET
ijassa-806	214	23	other	other	ADJ
ijassa-806	214	24	individuals	individual	NOUN
ijassa-806	214	25	after	after	ADP
ijassa-806	214	26	algorithm	algorithm	NOUN
ijassa-806	214	27	execution	execution	NOUN
ijassa-806	214	28	.	.	PUNCT
ijassa-806	215	1	table	table	NOUN
ijassa-806	215	2	5.4	5.4	NUM
ijassa-806	215	3	.	.	PUNCT
ijassa-806	216	1	reclassification	reclassification	NOUN
ijassa-806	216	2	of	of	ADP
ijassa-806	216	3	rc	rc	PROPN
ijassa-806	216	4	elements	element	NOUN
ijassa-806	216	5	individual	individual	ADJ
ijassa-806	216	6	k	k	PROPN
ijassa-806	216	7	neighbors	neighbor	NOUN
ijassa-806	216	8	class	class	NOUN
ijassa-806	216	9	distance	distance	NOUN
ijassa-806	216	10	decision	decision	NOUN
ijassa-806	216	11	3	3	NUM
ijassa-806	216	12	2	2	NUM
ijassa-806	216	13	2	2	NUM
ijassa-806	216	14	2	2	NUM
ijassa-806	216	15	39.37	39.37	NUM
ijassa-806	216	16	individual	individual	NOUN
ijassa-806	216	17	3	3	NUM
ijassa-806	216	18	belongs	belong	VERB
ijassa-806	216	19	to	to	ADP
ijassa-806	216	20	class	class	NOUN
ijassa-806	216	21	2	2	NUM
ijassa-806	216	22	4	4	NUM
ijassa-806	216	23	2	2	NUM
ijassa-806	216	24	11.12	11.12	NUM
ijassa-806	216	25	5	5	NUM
ijassa-806	216	26	2	2	NUM
ijassa-806	216	27	4	4	NUM
ijassa-806	216	28	2	2	NUM
ijassa-806	216	29	33.36	33.36	NUM
ijassa-806	216	30	individual	individual	NOUN
ijassa-806	216	31	5	5	NUM
ijassa-806	216	32	belongs	belong	VERB
ijassa-806	216	33	to	to	ADP
ijassa-806	216	34	class	class	NOUN
ijassa-806	216	35	2	2	NUM
ijassa-806	216	36	8	8	NUM
ijassa-806	216	37	2	2	NUM
ijassa-806	216	38	49.95	49.95	NUM
ijassa-806	216	39	7	7	NUM
ijassa-806	216	40	2	2	NUM
ijassa-806	216	41	4	4	NUM
ijassa-806	216	42	2	2	NUM
ijassa-806	216	43	222.16	222.16	NUM
ijassa-806	216	44	individual	individual	NOUN
ijassa-806	216	45	7	7	NUM
ijassa-806	216	46	belongs	belong	VERB
ijassa-806	216	47	to	to	ADP
ijassa-806	216	48	class	class	NOUN
ijassa-806	216	49	2	2	NUM
ijassa-806	216	50	8	8	NUM
ijassa-806	216	51	2	2	NUM
ijassa-806	216	52	236.01	236.01	NUM
ijassa-806	216	53	11	11	NUM
ijassa-806	216	54	2	2	NUM
ijassa-806	216	55	10	10	NUM
ijassa-806	216	56	1	1	NUM
ijassa-806	216	57	165.75	165.75	NUM
ijassa-806	216	58	individual	individual	NOUN
ijassa-806	216	59	11	11	NUM
ijassa-806	216	60	belongs	belong	VERB
ijassa-806	216	61	to	to	ADP
ijassa-806	216	62	class	class	NOUN
ijassa-806	216	63	2	2	NUM
ijassa-806	216	64	12	12	NUM
ijassa-806	216	65	2	2	NUM
ijassa-806	216	66	165.06	165.06	NUM
ijassa-806	216	67	13	13	NUM
ijassa-806	216	68	3	3	NUM
ijassa-806	216	69	10	10	NUM
ijassa-806	216	70	1	1	NUM
ijassa-806	216	71	2.7	2.7	NUM
ijassa-806	216	72	individual	individual	ADJ
ijassa-806	216	73	13	13	NUM
ijassa-806	216	74	learning	learning	NOUN
ijassa-806	216	75	methods	method	NOUN
ijassa-806	216	76	for	for	ADP
ijassa-806	216	77	distributed	distributed	ADJ
ijassa-806	216	78	diagnosis	diagnosis	NOUN
ijassa-806	216	79	…	…	SYM
ijassa-806	216	80	125	125	NUM
ijassa-806	216	81	copyright	copyright	NOUN
ijassa-806	216	82	©	©	PROPN
ijassa-806	216	83	2023	2023	NUM
ijassa-806	216	84	assa	assa	NOUN
ijassa-806	216	85	.	.	PUNCT
ijassa-806	217	1	adv	adv	PROPN
ijassa-806	217	2	.	.	PUNCT
ijassa-806	218	1	in	in	ADP
ijassa-806	218	2	systems	system	NOUN
ijassa-806	218	3	science	science	NOUN
ijassa-806	218	4	and	and	CCONJ
ijassa-806	218	5	appl	appl	NOUN
ijassa-806	218	6	.	.	PUNCT
ijassa-806	219	1	(	(	PUNCT
ijassa-806	219	2	2023	2023	NUM
ijassa-806	219	3	)	)	PUNCT
ijassa-806	219	4	12	12	NUM
ijassa-806	219	5	2	2	NUM
ijassa-806	219	6	7.6	7.6	NUM
ijassa-806	219	7	belongs	belong	VERB
ijassa-806	219	8	to	to	ADP
ijassa-806	219	9	class	class	NOUN
ijassa-806	219	10	1	1	NUM
ijassa-806	219	11	16	16	NUM
ijassa-806	219	12	2	2	NUM
ijassa-806	219	13	37.54	37.54	NUM
ijassa-806	219	14	14	14	NUM
ijassa-806	219	15	2	2	NUM
ijassa-806	219	16	12	12	NUM
ijassa-806	219	17	2	2	NUM
ijassa-806	219	18	265	265	NUM
ijassa-806	219	19	individual	individual	NOUN
ijassa-806	219	20	14	14	NUM
ijassa-806	219	21	belongs	belong	VERB
ijassa-806	219	22	to	to	ADP
ijassa-806	219	23	class	class	NOUN
ijassa-806	219	24	2	2	NUM
ijassa-806	219	25	16	16	NUM
ijassa-806	219	26	2	2	NUM
ijassa-806	219	27	300	300	NUM
ijassa-806	219	28	15	15	NUM
ijassa-806	219	29	2	2	NUM
ijassa-806	219	30	12	12	NUM
ijassa-806	219	31	2	2	NUM
ijassa-806	219	32	385	385	NUM
ijassa-806	219	33	individual	individual	NOUN
ijassa-806	219	34	15	15	NUM
ijassa-806	219	35	belongs	belong	VERB
ijassa-806	219	36	to	to	ADP
ijassa-806	219	37	class	class	NOUN
ijassa-806	219	38	2	2	NUM
ijassa-806	219	39	16	16	NUM
ijassa-806	219	40	2	2	NUM
ijassa-806	219	41	420	420	NUM
ijassa-806	219	42	19	19	NUM
ijassa-806	219	43	2	2	NUM
ijassa-806	219	44	18	18	NUM
ijassa-806	219	45	1	1	NUM
ijassa-806	219	46	4.7	4.7	NUM
ijassa-806	219	47	individual	individual	NOUN
ijassa-806	219	48	19	19	NUM
ijassa-806	219	49	belongs	belong	VERB
ijassa-806	219	50	to	to	ADP
ijassa-806	219	51	class	class	NOUN
ijassa-806	219	52	1	1	NUM
ijassa-806	219	53	22	22	NUM
ijassa-806	219	54	2	2	NUM
ijassa-806	219	55	9.9	9.9	NUM
ijassa-806	219	56	20	20	NUM
ijassa-806	219	57	2	2	NUM
ijassa-806	219	58	18	18	NUM
ijassa-806	219	59	1	1	NUM
ijassa-806	219	60	565.04	565.04	NUM
ijassa-806	219	61	individual	individual	NOUN
ijassa-806	219	62	20	20	NUM
ijassa-806	219	63	belongs	belong	VERB
ijassa-806	219	64	to	to	ADP
ijassa-806	219	65	class	class	NOUN
ijassa-806	219	66	2	2	NUM
ijassa-806	219	67	22	22	NUM
ijassa-806	219	68	2	2	NUM
ijassa-806	219	69	565.00	565.00	NUM
ijassa-806	219	70	21	21	NUM
ijassa-806	219	71	2	2	NUM
ijassa-806	219	72	18	18	NUM
ijassa-806	219	73	1	1	NUM
ijassa-806	219	74	717.08	717.08	NUM
ijassa-806	219	75	individual	individual	NOUN
ijassa-806	219	76	21	21	NUM
ijassa-806	219	77	belongs	belong	VERB
ijassa-806	219	78	to	to	ADP
ijassa-806	219	79	class	class	NOUN
ijassa-806	219	80	2	2	NUM
ijassa-806	219	81	22	22	NUM
ijassa-806	219	82	2	2	NUM
ijassa-806	219	83	717.02	717.02	NUM
ijassa-806	219	84	5.3	5.3	NUM
ijassa-806	219	85	.	.	PUNCT
ijassa-806	220	1	results	result	NOUN
ijassa-806	220	2	and	and	CCONJ
ijassa-806	220	3	discussion	discussion	NOUN
ijassa-806	220	4	according	accord	VERB
ijassa-806	220	5	the	the	DET
ijassa-806	220	6	above	above	ADJ
ijassa-806	220	7	table	table	NOUN
ijassa-806	220	8	,	,	PUNCT
ijassa-806	220	9	final	final	ADJ
ijassa-806	220	10	results	result	NOUN
ijassa-806	220	11	are	be	AUX
ijassa-806	220	12	illustrated	illustrate	VERB
ijassa-806	220	13	in	in	ADP
ijassa-806	220	14	next	next	ADJ
ijassa-806	220	15	figure	figure	NOUN
ijassa-806	220	16	(	(	PUNCT
ijassa-806	220	17	fig	fig	NOUN
ijassa-806	220	18	.	.	PUNCT
ijassa-806	221	1	5.3	5.3	NUM
ijassa-806	221	2	)	)	PUNCT
ijassa-806	221	3	.	.	PUNCT
ijassa-806	222	1	fig	fig	NOUN
ijassa-806	222	2	.	.	PUNCT
ijassa-806	223	1	5.3	5.3	NUM
ijassa-806	223	2	.	.	PUNCT
ijassa-806	223	3	evolution	evolution	NOUN
ijassa-806	223	4	of	of	ADP
ijassa-806	223	5	the	the	DET
ijassa-806	223	6	classification	classification	NOUN
ijassa-806	223	7	interpretation	interpretation	NOUN
ijassa-806	223	8	of	of	ADP
ijassa-806	223	9	different	different	ADJ
ijassa-806	223	10	graphs	graph	NOUN
ijassa-806	223	11	shows	show	VERB
ijassa-806	223	12	classification	classification	NOUN
ijassa-806	223	13	evolution	evolution	NOUN
ijassa-806	223	14	:	:	PUNCT
ijassa-806	223	15	all	all	DET
ijassa-806	223	16	individuals	individual	NOUN
ijassa-806	223	17	belonging	belong	VERB
ijassa-806	223	18	to	to	ADP
ijassa-806	223	19	the	the	DET
ijassa-806	223	20	rc	rc	PROPN
ijassa-806	223	21	are	be	AUX
ijassa-806	223	22	classified	classify	VERB
ijassa-806	223	23	.	.	PUNCT
ijassa-806	224	1	compared	compare	VERB
ijassa-806	224	2	to	to	ADP
ijassa-806	224	3	reference	reference	VERB
ijassa-806	224	4	classification	classification	NOUN
ijassa-806	224	5	,	,	PUNCT
ijassa-806	224	6	ranking	rank	VERB
ijassa-806	224	7	of	of	ADP
ijassa-806	224	8	some	some	DET
ijassa-806	224	9	elements	element	NOUN
ijassa-806	224	10	did	do	AUX
ijassa-806	224	11	not	not	PART
ijassa-806	224	12	move	move	VERB
ijassa-806	224	13	while	while	SCONJ
ijassa-806	224	14	others	other	NOUN
ijassa-806	224	15	were	be	AUX
ijassa-806	224	16	refined	refine	VERB
ijassa-806	224	17	on	on	ADP
ijassa-806	224	18	this	this	DET
ijassa-806	224	19	sample	sample	NOUN
ijassa-806	224	20	of	of	ADP
ijassa-806	224	21	individuals	individual	NOUN
ijassa-806	224	22	,	,	PUNCT
ijassa-806	224	23	the	the	DET
ijassa-806	224	24	rate	rate	NOUN
ijassa-806	224	25	of	of	ADP
ijassa-806	224	26	learning	learning	NOUN
ijassa-806	224	27	and	and	CCONJ
ijassa-806	224	28	recognition	recognition	NOUN
ijassa-806	224	29	is	be	AUX
ijassa-806	224	30	calculated	calculate	VERB
ijassa-806	224	31	again	again	ADV
ijassa-806	224	32	,	,	PUNCT
ijassa-806	224	33	giving	give	VERB
ijassa-806	224	34	an	an	DET
ijassa-806	224	35	improved	improved	ADJ
ijassa-806	224	36	rate	rate	NOUN
ijassa-806	224	37	(	(	PUNCT
ijassa-806	224	38	fig	fig	NOUN
ijassa-806	224	39	.	.	PUNCT
ijassa-806	225	1	5.4	5.4	NUM
ijassa-806	225	2	)	)	PUNCT
ijassa-806	225	3	from	from	ADP
ijassa-806	225	4	34.78	34.78	NUM
ijassa-806	225	5	%	%	NOUN
ijassa-806	225	6	to	to	ADP
ijassa-806	225	7	82.60	82.60	NUM
ijassa-806	225	8	%	%	NOUN
ijassa-806	225	9	with	with	ADP
ijassa-806	225	10	a	a	DET
ijassa-806	225	11	growth	growth	NOUN
ijassa-806	225	12	of	of	ADP
ijassa-806	225	13	47.82	47.82	NUM
ijassa-806	225	14	%	%	NOUN
ijassa-806	225	15	.	.	PUNCT
ijassa-806	226	1	using	use	VERB
ijassa-806	226	2	function	function	NOUN
ijassa-806	226	3	lamda	lamda	NOUN
ijassa-806	226	4	1	1	NUM
ijassa-806	226	5	and	and	CCONJ
ijassa-806	226	6	with	with	ADP
ijassa-806	226	7	same	same	ADJ
ijassa-806	226	8	parameters	parameter	NOUN
ijassa-806	226	9	(	(	PUNCT
ijassa-806	226	10	exigency	exigency	NOUN
ijassa-806	226	11	value	value	NOUN
ijassa-806	226	12	equal	equal	ADJ
ijassa-806	226	13	to	to	ADP
ijassa-806	226	14	1	1	NUM
ijassa-806	226	15	and	and	CCONJ
ijassa-806	226	16	the	the	DET
ijassa-806	226	17	connective	connective	ADJ
ijassa-806	226	18	minmax	minmax	NOUN
ijassa-806	226	19	)	)	PUNCT
ijassa-806	226	20	,	,	PUNCT
ijassa-806	226	21	an	an	DET
ijassa-806	226	22	improvement	improvement	NOUN
ijassa-806	226	23	in	in	ADP
ijassa-806	226	24	the	the	DET
ijassa-806	226	25	rate	rate	NOUN
ijassa-806	226	26	is	be	AUX
ijassa-806	226	27	also	also	ADV
ijassa-806	226	28	found	find	VERB
ijassa-806	226	29	(	(	PUNCT
ijassa-806	226	30	fig	fig	NOUN
ijassa-806	226	31	.	.	PUNCT
ijassa-806	227	1	5.4	5.4	NUM
ijassa-806	227	2	)	)	PUNCT
ijassa-806	227	3	,	,	PUNCT
ijassa-806	227	4	from	from	ADP
ijassa-806	227	5	43.47	43.47	NUM
ijassa-806	227	6	%	%	NOUN
ijassa-806	227	7	to	to	ADP
ijassa-806	227	8	78.26	78.26	NUM
ijassa-806	227	9	%	%	NOUN
ijassa-806	227	10	with	with	ADP
ijassa-806	227	11	an	an	DET
ijassa-806	227	12	increase	increase	NOUN
ijassa-806	227	13	of	of	ADP
ijassa-806	227	14	34.79	34.79	NUM
ijassa-806	227	15	%	%	NOUN
ijassa-806	227	16	.	.	PUNCT
ijassa-806	228	1	note	note	VERB
ijassa-806	228	2	that	that	PRON
ijassa-806	228	3	supervised	supervise	VERB
ijassa-806	228	4	classification	classification	NOUN
ijassa-806	228	5	rate	rate	NOUN
ijassa-806	228	6	is	be	AUX
ijassa-806	228	7	65.21	65.21	NUM
ijassa-806	228	8	%	%	NOUN
ijassa-806	228	9	with	with	ADP
ijassa-806	228	10	same	same	ADJ
ijassa-806	228	11	parameters	parameter	NOUN
ijassa-806	228	12	and	and	CCONJ
ijassa-806	228	13	the	the	DET
ijassa-806	228	14	rate	rate	NOUN
ijassa-806	228	15	classification	classification	NOUN
ijassa-806	228	16	by	by	ADP
ijassa-806	228	17	recognition	recognition	NOUN
ijassa-806	228	18	that	that	PRON
ijassa-806	228	19	was	be	AUX
ijassa-806	228	20	lower	low	ADJ
ijassa-806	228	21	is	be	AUX
ijassa-806	228	22	now	now	ADV
ijassa-806	228	23	better	well	ADJ
ijassa-806	228	24	.	.	PUNCT
ijassa-806	229	1	126	126	NUM
ijassa-806	229	2	h.	h.	PROPN
ijassa-806	229	3	serradj	serradj	PROPN
ijassa-806	229	4	,	,	PUNCT
ijassa-806	229	5	m.	m.	NOUN
ijassa-806	229	6	noureddine	noureddine	ADP
ijassa-806	229	7	copyright	copyright	NOUN
ijassa-806	229	8	©	©	PROPN
ijassa-806	229	9	2023	2023	NUM
ijassa-806	229	10	assa	assa	PROPN
ijassa-806	229	11	adv	adv	PROPN
ijassa-806	229	12	.	.	PUNCT
ijassa-806	230	1	in	in	ADP
ijassa-806	230	2	systems	system	NOUN
ijassa-806	230	3	science	science	NOUN
ijassa-806	230	4	and	and	CCONJ
ijassa-806	230	5	appl	appl	NOUN
ijassa-806	230	6	.	.	PUNCT
ijassa-806	231	1	(	(	PUNCT
ijassa-806	231	2	2023	2023	NUM
ijassa-806	231	3	)	)	PUNCT
ijassa-806	231	4	fig	fig	NOUN
ijassa-806	231	5	.	.	PUNCT
ijassa-806	232	1	5.4	5.4	NUM
ijassa-806	232	2	.	.	PUNCT
ijassa-806	232	3	improvement	improvement	NOUN
ijassa-806	232	4	of	of	ADP
ijassa-806	232	5	the	the	DET
ijassa-806	232	6	classification	classification	NOUN
ijassa-806	232	7	rate	rate	NOUN
ijassa-806	232	8	6	6	NUM
ijassa-806	232	9	.	.	PUNCT
ijassa-806	233	1	conclusion	conclusion	NOUN
ijassa-806	233	2	diagnosis	diagnosis	NOUN
ijassa-806	233	3	is	be	AUX
ijassa-806	233	4	fundamental	fundamental	ADJ
ijassa-806	233	5	to	to	PART
ijassa-806	233	6	master	master	VERB
ijassa-806	233	7	failures	failure	NOUN
ijassa-806	233	8	of	of	ADP
ijassa-806	233	9	systems	system	NOUN
ijassa-806	233	10	in	in	ADP
ijassa-806	233	11	order	order	NOUN
ijassa-806	233	12	to	to	PART
ijassa-806	233	13	protect	protect	VERB
ijassa-806	233	14	human	human	ADJ
ijassa-806	233	15	lives	life	NOUN
ijassa-806	233	16	,	,	PUNCT
ijassa-806	233	17	particularly	particularly	ADV
ijassa-806	233	18	in	in	ADP
ijassa-806	233	19	specific	specific	ADJ
ijassa-806	233	20	systems	system	NOUN
ijassa-806	233	21	such	such	ADJ
ijassa-806	233	22	as	as	ADP
ijassa-806	233	23	rail	rail	NOUN
ijassa-806	233	24	networks	network	NOUN
ijassa-806	233	25	.	.	PUNCT
ijassa-806	234	1	this	this	DET
ijassa-806	234	2	article	article	NOUN
ijassa-806	234	3	is	be	AUX
ijassa-806	234	4	focused	focus	VERB
ijassa-806	234	5	on	on	ADP
ijassa-806	234	6	this	this	DET
ijassa-806	234	7	framework	framework	NOUN
ijassa-806	234	8	,	,	PUNCT
ijassa-806	234	9	by	by	ADP
ijassa-806	234	10	proposing	propose	VERB
ijassa-806	234	11	a	a	DET
ijassa-806	234	12	methodology	methodology	NOUN
ijassa-806	234	13	around	around	ADP
ijassa-806	234	14	a	a	DET
ijassa-806	234	15	distributed	distribute	VERB
ijassa-806	234	16	approach	approach	NOUN
ijassa-806	234	17	of	of	ADP
ijassa-806	234	18	the	the	DET
ijassa-806	234	19	diagnosis	diagnosis	NOUN
ijassa-806	234	20	function	function	NOUN
ijassa-806	234	21	for	for	ADP
ijassa-806	234	22	these	these	DET
ijassa-806	234	23	complex	complex	ADJ
ijassa-806	234	24	discrete	discrete	ADJ
ijassa-806	234	25	event	event	NOUN
ijassa-806	234	26	systems	system	NOUN
ijassa-806	234	27	.	.	PUNCT
ijassa-806	235	1	the	the	DET
ijassa-806	235	2	approach	approach	NOUN
ijassa-806	235	3	includes	include	VERB
ijassa-806	235	4	two	two	NUM
ijassa-806	235	5	parts	part	NOUN
ijassa-806	235	6	,	,	PUNCT
ijassa-806	235	7	a	a	DET
ijassa-806	235	8	distributed	distribute	VERB
ijassa-806	235	9	recovery	recovery	NOUN
ijassa-806	235	10	of	of	ADP
ijassa-806	235	11	signal	signal	NOUN
ijassa-806	235	12	and	and	CCONJ
ijassa-806	235	13	processing	process	VERB
ijassa-806	235	14	part	part	NOUN
ijassa-806	235	15	with	with	ADP
ijassa-806	235	16	a	a	DET
ijassa-806	235	17	classification	classification	NOUN
ijassa-806	235	18	algorithm	algorithm	NOUN
ijassa-806	235	19	.	.	PUNCT
ijassa-806	236	1	aim	aim	NOUN
ijassa-806	236	2	is	be	AUX
ijassa-806	236	3	to	to	PART
ijassa-806	236	4	facilitate	facilitate	VERB
ijassa-806	236	5	operator	operator	NOUN
ijassa-806	236	6	task	task	NOUN
ijassa-806	236	7	in	in	ADP
ijassa-806	236	8	the	the	DET
ijassa-806	236	9	decision	decision	NOUN
ijassa-806	236	10	-	-	PUNCT
ijassa-806	236	11	making	making	NOUN
ijassa-806	236	12	phase	phase	NOUN
ijassa-806	236	13	about	about	ADP
ijassa-806	236	14	diagnosis	diagnosis	NOUN
ijassa-806	236	15	.	.	PUNCT
ijassa-806	237	1	in	in	ADP
ijassa-806	237	2	this	this	DET
ijassa-806	237	3	context	context	NOUN
ijassa-806	237	4	,	,	PUNCT
ijassa-806	237	5	we	we	PRON
ijassa-806	237	6	proposed	propose	VERB
ijassa-806	237	7	an	an	DET
ijassa-806	237	8	algorithm	algorithm	NOUN
ijassa-806	237	9	for	for	ADP
ijassa-806	237	10	classification	classification	NOUN
ijassa-806	237	11	of	of	ADP
ijassa-806	237	12	failures	failure	NOUN
ijassa-806	237	13	,	,	PUNCT
ijassa-806	237	14	based	base	VERB
ijassa-806	237	15	first	first	ADV
ijassa-806	237	16	on	on	ADP
ijassa-806	237	17	the	the	DET
ijassa-806	237	18	fuzzy	fuzzy	ADJ
ijassa-806	237	19	lamda	lamda	NOUN
ijassa-806	237	20	method	method	NOUN
ijassa-806	237	21	,	,	PUNCT
ijassa-806	237	22	giving	give	VERB
ijassa-806	237	23	ranking	ranking	NOUN
ijassa-806	237	24	results	result	NOUN
ijassa-806	237	25	with	with	ADP
ijassa-806	237	26	unrecognized	unrecognized	ADJ
ijassa-806	237	27	individuals	individual	NOUN
ijassa-806	237	28	,	,	PUNCT
ijassa-806	237	29	assigned	assign	VERB
ijassa-806	237	30	to	to	ADP
ijassa-806	237	31	the	the	DET
ijassa-806	237	32	non	non	ADJ
ijassa-806	237	33	informative	informative	ADJ
ijassa-806	237	34	class	class	NOUN
ijassa-806	237	35	.	.	PUNCT
ijassa-806	238	1	considering	consider	VERB
ijassa-806	238	2	this	this	DET
ijassa-806	238	3	particular	particular	ADJ
ijassa-806	238	4	class	class	NOUN
ijassa-806	238	5	as	as	ADP
ijassa-806	238	6	the	the	DET
ijassa-806	238	7	residual	residual	ADJ
ijassa-806	238	8	class	class	NOUN
ijassa-806	238	9	,	,	PUNCT
ijassa-806	238	10	the	the	DET
ijassa-806	238	11	k	k	NOUN
ijassa-806	238	12	-	-	PUNCT
ijassa-806	238	13	nearest	near	ADJ
ijassa-806	238	14	neighbor	neighbor	NOUN
ijassa-806	238	15	method	method	NOUN
ijassa-806	238	16	is	be	AUX
ijassa-806	238	17	then	then	ADV
ijassa-806	238	18	introduced	introduce	VERB
ijassa-806	238	19	to	to	PART
ijassa-806	238	20	reclassify	reclassify	VERB
ijassa-806	238	21	unranked	unranked	ADJ
ijassa-806	238	22	elements	element	NOUN
ijassa-806	238	23	.	.	PUNCT
ijassa-806	239	1	the	the	DET
ijassa-806	239	2	methodology	methodology	NOUN
ijassa-806	239	3	has	have	AUX
ijassa-806	239	4	been	be	AUX
ijassa-806	239	5	applied	apply	VERB
ijassa-806	239	6	to	to	ADP
ijassa-806	239	7	a	a	DET
ijassa-806	239	8	real	real	ADJ
ijassa-806	239	9	case	case	NOUN
ijassa-806	239	10	study	study	NOUN
ijassa-806	239	11	,	,	PUNCT
ijassa-806	239	12	which	which	PRON
ijassa-806	239	13	is	be	AUX
ijassa-806	239	14	a	a	DET
ijassa-806	239	15	railway	railway	NOUN
ijassa-806	239	16	line	line	NOUN
ijassa-806	239	17	.	.	PUNCT
ijassa-806	240	1	physically	physically	ADV
ijassa-806	240	2	distributed	distribute	VERB
ijassa-806	240	3	stations	station	NOUN
ijassa-806	240	4	are	be	AUX
ijassa-806	240	5	used	use	VERB
ijassa-806	240	6	to	to	PART
ijassa-806	240	7	collect	collect	VERB
ijassa-806	240	8	information	information	NOUN
ijassa-806	240	9	and	and	CCONJ
ijassa-806	240	10	on	on	ADP
ijassa-806	240	11	recovered	recovered	ADJ
ijassa-806	240	12	elements	element	NOUN
ijassa-806	240	13	,	,	PUNCT
ijassa-806	240	14	the	the	DET
ijassa-806	240	15	proposed	propose	VERB
ijassa-806	240	16	algorithm	algorithm	NOUN
ijassa-806	240	17	is	be	AUX
ijassa-806	240	18	implemented	implement	VERB
ijassa-806	240	19	.	.	PUNCT
ijassa-806	241	1	following	follow	VERB
ijassa-806	241	2	the	the	DET
ijassa-806	241	3	two	two	NUM
ijassa-806	241	4	types	type	NOUN
ijassa-806	241	5	of	of	ADP
ijassa-806	241	6	classification	classification	NOUN
ijassa-806	241	7	,	,	PUNCT
ijassa-806	241	8	supervised	supervised	ADJ
ijassa-806	241	9	and	and	CCONJ
ijassa-806	241	10	by	by	ADP
ijassa-806	241	11	recognition	recognition	NOUN
ijassa-806	241	12	,	,	PUNCT
ijassa-806	241	13	ranking	ranking	NOUN
ijassa-806	241	14	of	of	ADP
ijassa-806	241	15	individuals	individual	NOUN
ijassa-806	241	16	are	be	AUX
ijassa-806	241	17	provided	provide	VERB
ijassa-806	241	18	with	with	ADP
ijassa-806	241	19	a	a	DET
ijassa-806	241	20	classification	classification	NOUN
ijassa-806	241	21	rate	rate	NOUN
ijassa-806	241	22	.	.	PUNCT
ijassa-806	242	1	results	result	NOUN
ijassa-806	242	2	of	of	ADP
ijassa-806	242	3	simulation	simulation	NOUN
ijassa-806	242	4	show	show	VERB
ijassa-806	242	5	that	that	SCONJ
ijassa-806	242	6	the	the	DET
ijassa-806	242	7	proposed	propose	VERB
ijassa-806	242	8	approach	approach	NOUN
ijassa-806	242	9	gives	give	VERB
ijassa-806	242	10	an	an	DET
ijassa-806	242	11	improvement	improvement	NOUN
ijassa-806	242	12	of	of	ADP
ijassa-806	242	13	the	the	DET
ijassa-806	242	14	classification	classification	NOUN
ijassa-806	242	15	rate	rate	NOUN
ijassa-806	242	16	by	by	ADP
ijassa-806	242	17	recognition	recognition	NOUN
ijassa-806	242	18	.	.	PUNCT
ijassa-806	243	1	moreover	moreover	ADV
ijassa-806	243	2	,	,	PUNCT
ijassa-806	243	3	this	this	DET
ijassa-806	243	4	rate	rate	NOUN
ijassa-806	243	5	becomes	become	VERB
ijassa-806	243	6	better	well	ADJ
ijassa-806	243	7	that	that	SCONJ
ijassa-806	243	8	the	the	DET
ijassa-806	243	9	supervised	supervised	ADJ
ijassa-806	243	10	classification	classification	NOUN
ijassa-806	243	11	rate	rate	NOUN
ijassa-806	243	12	.	.	PUNCT
ijassa-806	244	1	future	future	ADJ
ijassa-806	244	2	work	work	NOUN
ijassa-806	244	3	will	will	AUX
ijassa-806	244	4	aim	aim	VERB
ijassa-806	244	5	two	two	NUM
ijassa-806	244	6	main	main	ADJ
ijassa-806	244	7	ways	way	NOUN
ijassa-806	244	8	,	,	PUNCT
ijassa-806	244	9	design	design	NOUN
ijassa-806	244	10	and	and	CCONJ
ijassa-806	244	11	application	application	NOUN
ijassa-806	244	12	of	of	ADP
ijassa-806	244	13	the	the	DET
ijassa-806	244	14	methodology	methodology	NOUN
ijassa-806	244	15	.	.	PUNCT
ijassa-806	245	1	thereby	thereby	ADV
ijassa-806	245	2	,	,	PUNCT
ijassa-806	245	3	in	in	ADP
ijassa-806	245	4	order	order	NOUN
ijassa-806	245	5	to	to	PART
ijassa-806	245	6	perfect	perfect	VERB
ijassa-806	245	7	the	the	DET
ijassa-806	245	8	approach	approach	NOUN
ijassa-806	245	9	,	,	PUNCT
ijassa-806	245	10	several	several	ADJ
ijassa-806	245	11	perspectives	perspective	NOUN
ijassa-806	245	12	can	can	AUX
ijassa-806	245	13	be	be	AUX
ijassa-806	245	14	considered	consider	VERB
ijassa-806	245	15	in	in	ADP
ijassa-806	245	16	particular	particular	ADJ
ijassa-806	245	17	concerning	concern	VERB
ijassa-806	245	18	the	the	DET
ijassa-806	245	19	unrecognized	unrecognized	ADJ
ijassa-806	245	20	elements	element	NOUN
ijassa-806	245	21	by	by	ADP
ijassa-806	245	22	lamda	lamda	NOUN
ijassa-806	245	23	method	method	NOUN
ijassa-806	245	24	.	.	PUNCT
ijassa-806	246	1	in	in	ADP
ijassa-806	246	2	this	this	DET
ijassa-806	246	3	work	work	NOUN
ijassa-806	246	4	,	,	PUNCT
ijassa-806	246	5	euclidean	euclidean	ADJ
ijassa-806	246	6	distance	distance	NOUN
ijassa-806	246	7	for	for	ADP
ijassa-806	246	8	k	k	PROPN
ijassa-806	246	9	-	-	PUNCT
ijassa-806	246	10	nn	nn	ADJ
ijassa-806	246	11	approach	approach	NOUN
ijassa-806	246	12	has	have	AUX
ijassa-806	246	13	been	be	AUX
ijassa-806	246	14	used	use	VERB
ijassa-806	246	15	and	and	CCONJ
ijassa-806	246	16	other	other	ADJ
ijassa-806	246	17	metrics	metric	NOUN
ijassa-806	246	18	could	could	AUX
ijassa-806	246	19	be	be	AUX
ijassa-806	246	20	studied	study	VERB
ijassa-806	246	21	.	.	PUNCT
ijassa-806	247	1	more	more	ADJ
ijassa-806	247	2	,	,	PUNCT
ijassa-806	247	3	additional	additional	ADJ
ijassa-806	247	4	methods	method	NOUN
ijassa-806	247	5	from	from	ADP
ijassa-806	247	6	artificial	artificial	ADJ
ijassa-806	247	7	intelligence	intelligence	NOUN
ijassa-806	247	8	might	might	AUX
ijassa-806	247	9	be	be	AUX
ijassa-806	247	10	taken	take	VERB
ijassa-806	247	11	up	up	ADP
ijassa-806	247	12	to	to	PART
ijassa-806	247	13	reclassify	reclassify	VERB
ijassa-806	247	14	these	these	DET
ijassa-806	247	15	elements	element	NOUN
ijassa-806	247	16	.	.	PUNCT
ijassa-806	248	1	furthermore	furthermore	ADV
ijassa-806	248	2	,	,	PUNCT
ijassa-806	248	3	the	the	DET
ijassa-806	248	4	presented	present	VERB
ijassa-806	248	5	approach	approach	NOUN
ijassa-806	248	6	can	can	AUX
ijassa-806	248	7	also	also	ADV
ijassa-806	248	8	be	be	AUX
ijassa-806	248	9	applied	apply	VERB
ijassa-806	248	10	to	to	ADP
ijassa-806	248	11	other	other	ADJ
ijassa-806	248	12	des	des	X
ijassa-806	248	13	and	and	CCONJ
ijassa-806	248	14	currently	currently	ADV
ijassa-806	248	15	,	,	PUNCT
ijassa-806	248	16	the	the	DET
ijassa-806	248	17	generic	generic	ADJ
ijassa-806	248	18	methodology	methodology	NOUN
ijassa-806	248	19	is	be	AUX
ijassa-806	248	20	being	be	AUX
ijassa-806	248	21	studied	study	VERB
ijassa-806	248	22	on	on	ADP
ijassa-806	248	23	a	a	DET
ijassa-806	248	24	system	system	NOUN
ijassa-806	248	25	of	of	ADP
ijassa-806	248	26	electricity	electricity	NOUN
ijassa-806	248	27	distribution	distribution	NOUN
ijassa-806	248	28	.	.	PUNCT
ijassa-806	249	1	the	the	DET
ijassa-806	249	2	real	real	ADJ
ijassa-806	249	3	considered	consider	VERB
ijassa-806	249	4	system	system	NOUN
ijassa-806	249	5	has	have	VERB
ijassa-806	249	6	a	a	DET
ijassa-806	249	7	control	control	NOUN
ijassa-806	249	8	center	center	NOUN
ijassa-806	249	9	and	and	CCONJ
ijassa-806	249	10	substations	substation	NOUN
ijassa-806	249	11	physically	physically	ADV
ijassa-806	249	12	distributed	distribute	VERB
ijassa-806	249	13	;	;	PUNCT
ijassa-806	249	14	digital	digital	ADJ
ijassa-806	249	15	signal	signal	NOUN
ijassa-806	249	16	is	be	AUX
ijassa-806	249	17	recovered	recover	VERB
ijassa-806	249	18	by	by	ADP
ijassa-806	249	19	a	a	DET
ijassa-806	249	20	scada	scada	PROPN
ijassa-806	249	21	system	system	NOUN
ijassa-806	249	22	.	.	PUNCT
ijassa-806	250	1	the	the	DET
ijassa-806	250	2	algorithm	algorithm	NOUN
ijassa-806	250	3	implementation	implementation	NOUN
ijassa-806	250	4	,	,	PUNCT
ijassa-806	250	5	based	base	VERB
ijassa-806	250	6	on	on	ADP
ijassa-806	250	7	the	the	DET
ijassa-806	250	8	two	two	NUM
ijassa-806	250	9	learning	learning	NOUN
ijassa-806	250	10	methods	method	NOUN
ijassa-806	250	11	,	,	PUNCT
ijassa-806	250	12	is	be	AUX
ijassa-806	250	13	in	in	ADP
ijassa-806	250	14	progress	progress	NOUN
ijassa-806	250	15	.	.	PUNCT
ijassa-806	251	1	so	so	ADV
ijassa-806	251	2	,	,	PUNCT
ijassa-806	251	3	by	by	ADP
ijassa-806	251	4	using	use	VERB
ijassa-806	251	5	the	the	DET
ijassa-806	251	6	full	full	ADJ
ijassa-806	251	7	methodology	methodology	NOUN
ijassa-806	251	8	on	on	ADP
ijassa-806	251	9	different	different	ADJ
ijassa-806	251	10	systems	system	NOUN
ijassa-806	251	11	,	,	PUNCT
ijassa-806	251	12	the	the	DET
ijassa-806	251	13	proposed	propose	VERB
ijassa-806	251	14	distributed	distribute	VERB
ijassa-806	251	15	diagnostic	diagnostic	ADJ
ijassa-806	251	16	framework	framework	NOUN
ijassa-806	251	17	,	,	PUNCT
ijassa-806	251	18	in	in	ADP
ijassa-806	251	19	a	a	DET
ijassa-806	251	20	dependability	dependability	NOUN
ijassa-806	251	21	scheme	scheme	NOUN
ijassa-806	251	22	,	,	PUNCT
ijassa-806	251	23	emerges	emerge	VERB
ijassa-806	251	24	as	as	ADP
ijassa-806	251	25	an	an	DET
ijassa-806	251	26	efficacy	efficacy	NOUN
ijassa-806	251	27	and	and	CCONJ
ijassa-806	251	28	robust	robust	ADJ
ijassa-806	251	29	way	way	NOUN
ijassa-806	251	30	for	for	ADP
ijassa-806	251	31	classify	classify	VERB
ijassa-806	251	32	any	any	DET
ijassa-806	251	33	failures	failure	NOUN
ijassa-806	251	34	,	,	PUNCT
ijassa-806	251	35	while	while	SCONJ
ijassa-806	251	36	helping	help	VERB
ijassa-806	251	37	in	in	ADP
ijassa-806	251	38	decision	decision	NOUN
ijassa-806	251	39	making	making	NOUN
ijassa-806	251	40	of	of	ADP
ijassa-806	251	41	an	an	DET
ijassa-806	251	42	operator	operator	NOUN
ijassa-806	251	43	.	.	PUNCT
ijassa-806	252	1	learning	learn	VERB
ijassa-806	252	2	methods	method	NOUN
ijassa-806	252	3	for	for	ADP
ijassa-806	252	4	distributed	distributed	ADJ
ijassa-806	252	5	diagnosis	diagnosis	NOUN
ijassa-806	252	6	…	…	PUNCT
ijassa-806	252	7	127	127	NUM
ijassa-806	252	8	copyright	copyright	NOUN
ijassa-806	252	9	©	©	PROPN
ijassa-806	252	10	2023	2023	NUM
ijassa-806	252	11	assa	assa	NOUN
ijassa-806	252	12	.	.	PUNCT
ijassa-806	253	1	adv	adv	PROPN
ijassa-806	253	2	.	.	PUNCT
ijassa-806	254	1	in	in	ADP
ijassa-806	254	2	systems	system	NOUN
ijassa-806	254	3	science	science	NOUN
ijassa-806	254	4	and	and	CCONJ
ijassa-806	254	5	appl	appl	NOUN
ijassa-806	254	6	.	.	PUNCT
ijassa-806	255	1	(	(	PUNCT
ijassa-806	255	2	2023	2023	NUM
ijassa-806	255	3	)	)	PUNCT
ijassa-806	255	4	references	reference	NOUN
ijassa-806	255	5	[	[	X
ijassa-806	255	6	1	1	NUM
ijassa-806	255	7	]	]	X
ijassa-806	255	8	aguilar	aguilar	PROPN
ijassa-806	255	9	-	-	PUNCT
ijassa-806	255	10	martin	martin	PROPN
ijassa-806	255	11	,	,	PUNCT
ijassa-806	255	12	j.	j.	PROPN
ijassa-806	255	13	&	&	CCONJ
ijassa-806	255	14	galino	galino	PROPN
ijassa-806	255	15	,	,	PUNCT
ijassa-806	255	16	m.	m.	NOUN
ijassa-806	255	17	(	(	PUNCT
ijassa-806	255	18	2002	2002	NUM
ijassa-806	255	19	)	)	PUNCT
ijassa-806	255	20	.	.	PUNCT
ijassa-806	256	1	interpretacion	interpretacion	NOUN
ijassa-806	256	2	secuencial	secuencial	ADJ
ijassa-806	256	3	de	de	X
ijassa-806	256	4	encuesta	encuesta	X
ijassa-806	256	5	con	con	PROPN
ijassa-806	256	6	aprendizaje	aprendizaje	PROPN
ijassa-806	256	7	lamda	lamda	PROPN
ijassa-806	256	8	.	.	PUNCT
ijassa-806	257	1	aplicaçion	aplicaçion	PROPN
ijassa-806	257	2	al	al	PROPN
ijassa-806	257	3	diagnostico	diagnostico	PROPN
ijassa-806	257	4	en	en	ADP
ijassa-806	257	5	psicopatologia	psicopatologia	NOUN
ijassa-806	258	1	[	[	X
ijassa-806	258	2	sequential	sequential	ADJ
ijassa-806	258	3	interpretation	interpretation	NOUN
ijassa-806	258	4	of	of	ADP
ijassa-806	258	5	surveys	survey	NOUN
ijassa-806	258	6	with	with	ADP
ijassa-806	258	7	lamda	lamda	ADJ
ijassa-806	258	8	learning	learning	NOUN
ijassa-806	258	9	.	.	PUNCT
ijassa-806	259	1	application	application	NOUN
ijassa-806	259	2	to	to	ADP
ijassa-806	259	3	the	the	DET
ijassa-806	259	4	diagnosis	diagnosis	NOUN
ijassa-806	259	5	in	in	ADP
ijassa-806	259	6	psychopathology	psychopathology	NOUN
ijassa-806	259	7	]	]	PUNCT
ijassa-806	259	8	.	.	PUNCT
ijassa-806	260	1	8th	8th	ADJ
ijassa-806	260	2	ibero	ibero	NOUN
ijassa-806	260	3	-	-	PUNCT
ijassa-806	260	4	american	american	ADJ
ijassa-806	260	5	conference	conference	NOUN
ijassa-806	260	6	on	on	ADP
ijassa-806	260	7	artificial	artificial	ADJ
ijassa-806	260	8	intelligence	intelligence	NOUN
ijassa-806	260	9	,	,	PUNCT
ijassa-806	260	10	seville	seville	PROPN
ijassa-806	260	11	,	,	PUNCT
ijassa-806	260	12	spain	spain	PROPN
ijassa-806	260	13	,	,	PUNCT
ijassa-806	260	14	[	[	X
ijassa-806	260	15	in	in	ADP
ijassa-806	260	16	spanish	spanish	NOUN
ijassa-806	260	17	]	]	PUNCT
ijassa-806	260	18	.	.	PUNCT
ijassa-806	261	1	[	[	X
ijassa-806	261	2	2	2	NUM
ijassa-806	261	3	]	]	PUNCT
ijassa-806	261	4	avižienis	avižienis	PROPN
ijassa-806	261	5	,	,	PUNCT
ijassa-806	261	6	a.	a.	NOUN
ijassa-806	261	7	,	,	PUNCT
ijassa-806	261	8	laprie	laprie	NOUN
ijassa-806	261	9	,	,	PUNCT
ijassa-806	261	10	j.c	j.c	PROPN
ijassa-806	261	11	.	.	PROPN
ijassa-806	261	12	&	&	CCONJ
ijassa-806	261	13	randell	randell	PROPN
ijassa-806	261	14	,	,	PUNCT
ijassa-806	261	15	b.	b.	PROPN
ijassa-806	261	16	(	(	PUNCT
ijassa-806	261	17	2001	2001	NUM
ijassa-806	261	18	)	)	PUNCT
ijassa-806	261	19	.	.	PUNCT
ijassa-806	262	1	fundamental	fundamental	ADJ
ijassa-806	262	2	concepts	concept	NOUN
ijassa-806	262	3	of	of	ADP
ijassa-806	262	4	dependability	dependability	NOUN
ijassa-806	262	5	,	,	PUNCT
ijassa-806	262	6	department	department	NOUN
ijassa-806	262	7	of	of	ADP
ijassa-806	262	8	computing	compute	VERB
ijassa-806	262	9	science	science	PROPN
ijassa-806	262	10	technical	technical	PROPN
ijassa-806	262	11	report	report	PROPN
ijassa-806	262	12	series	series	NOUN
ijassa-806	262	13	,	,	PUNCT
ijassa-806	262	14	739	739	NUM
ijassa-806	262	15	,	,	PUNCT
ijassa-806	262	16	1–21	1–21	PROPN
ijassa-806	262	17	.	.	PUNCT
ijassa-806	263	1	[	[	X
ijassa-806	263	2	3	3	NUM
ijassa-806	263	3	]	]	X
ijassa-806	263	4	bazurto	bazurto	VERB
ijassa-806	263	5	,	,	PUNCT
ijassa-806	263	6	a.	a.	PROPN
ijassa-806	263	7	j.	j.	PROPN
ijassa-806	263	8	,	,	PUNCT
ijassa-806	263	9	ciro	ciro	PROPN
ijassa-806	263	10	quispe	quispe	PROPN
ijassa-806	263	11	,	,	PUNCT
ijassa-806	263	12	e.	e.	PROPN
ijassa-806	263	13	&	&	CCONJ
ijassa-806	263	14	mendoza	mendoza	PROPN
ijassa-806	263	15	,	,	PUNCT
ijassa-806	263	16	r.	r.	PROPN
ijassa-806	263	17	c.	c.	PROPN
ijassa-806	263	18	(	(	PUNCT
ijassa-806	263	19	2016	2016	NUM
ijassa-806	263	20	)	)	PUNCT
ijassa-806	263	21	.	.	PUNCT
ijassa-806	264	1	causes	cause	NOUN
ijassa-806	264	2	and	and	CCONJ
ijassa-806	264	3	failures	failure	VERB
ijassa-806	264	4	classification	classification	NOUN
ijassa-806	264	5	of	of	ADP
ijassa-806	264	6	industrial	industrial	ADJ
ijassa-806	264	7	electric	electric	ADJ
ijassa-806	264	8	motor	motor	NOUN
ijassa-806	264	9	.	.	PUNCT
ijassa-806	265	1	proc	proc	PROPN
ijassa-806	265	2	.	.	PUNCT
ijassa-806	266	1	of	of	ADP
ijassa-806	266	2	the	the	DET
ijassa-806	266	3	ieee	ieee	NOUN
ijassa-806	266	4	andescon	andescon	PROPN
ijassa-806	266	5	conference	conference	PROPN
ijassa-806	266	6	,	,	PUNCT
ijassa-806	266	7	arequipa	arequipa	NOUN
ijassa-806	266	8	,	,	PUNCT
ijassa-806	266	9	peru	peru	PROPN
ijassa-806	266	10	,	,	PUNCT
ijassa-806	266	11	1–4	1–4	PROPN
ijassa-806	267	1	.	.	PUNCT
ijassa-806	268	1	[	[	X
ijassa-806	268	2	4	4	NUM
ijassa-806	268	3	]	]	PUNCT
ijassa-806	268	4	biteus	biteus	NOUN
ijassa-806	268	5	,	,	PUNCT
ijassa-806	268	6	j.	j.	PROPN
ijassa-806	268	7	,	,	PUNCT
ijassa-806	268	8	nyberg	nyberg	PROPN
ijassa-806	268	9	,	,	PUNCT
ijassa-806	268	10	m.	m.	NOUN
ijassa-806	268	11	&	&	CCONJ
ijassa-806	268	12	frisk	frisk	PROPN
ijassa-806	268	13	,	,	PUNCT
ijassa-806	268	14	e.	e.	PROPN
ijassa-806	268	15	(	(	PUNCT
ijassa-806	268	16	2008	2008	NUM
ijassa-806	268	17	)	)	PUNCT
ijassa-806	268	18	.	.	PUNCT
ijassa-806	269	1	an	an	DET
ijassa-806	269	2	algorithm	algorithm	NOUN
ijassa-806	269	3	for	for	ADP
ijassa-806	269	4	computing	compute	VERB
ijassa-806	269	5	the	the	DET
ijassa-806	269	6	diagnoses	diagnosis	NOUN
ijassa-806	269	7	with	with	ADP
ijassa-806	269	8	minimal	minimal	ADJ
ijassa-806	269	9	cardinality	cardinality	NOUN
ijassa-806	269	10	in	in	ADP
ijassa-806	269	11	a	a	DET
ijassa-806	269	12	distributed	distribute	VERB
ijassa-806	269	13	system	system	NOUN
ijassa-806	269	14	,	,	PUNCT
ijassa-806	269	15	engineering	engineering	NOUN
ijassa-806	269	16	applications	application	NOUN
ijassa-806	269	17	of	of	ADP
ijassa-806	269	18	artificial	artificial	ADJ
ijassa-806	269	19	intelligence	intelligence	NOUN
ijassa-806	269	20	,	,	PUNCT
ijassa-806	269	21	21(2	21(2	NUM
ijassa-806	269	22	)	)	PUNCT
ijassa-806	269	23	,	,	PUNCT
ijassa-806	269	24	269–276	269–276	NUM
ijassa-806	269	25	.	.	PUNCT
ijassa-806	270	1	[	[	X
ijassa-806	270	2	5	5	NUM
ijassa-806	270	3	]	]	SYM
ijassa-806	270	4	calon	calon	PROPN
ijassa-806	270	5	,	,	PUNCT
ijassa-806	270	6	n.	n.	NOUN
ijassa-806	270	7	(	(	PUNCT
ijassa-806	270	8	2016	2016	NUM
ijassa-806	270	9	)	)	PUNCT
ijassa-806	270	10	.	.	PUNCT
ijassa-806	271	1	rôle	rôle	PROPN
ijassa-806	271	2	de	de	X
ijassa-806	271	3	la	la	X
ijassa-806	271	4	couche	couche	X
ijassa-806	271	5	intermédiaire	intermédiaire	PROPN
ijassa-806	271	6	dans	dans	PROPN
ijassa-806	271	7	le	le	X
ijassa-806	271	8	potentiel	potentiel	PROPN
ijassa-806	271	9	de	de	X
ijassa-806	271	10	la	la	PROPN
ijassa-806	271	11	voie	voie	PROPN
ijassa-806	271	12	ferrée	ferrée	NOUN
ijassa-806	272	1	[	[	X
ijassa-806	272	2	influence	influence	NOUN
ijassa-806	272	3	of	of	ADP
ijassa-806	272	4	the	the	DET
ijassa-806	272	5	interlayer	interlayer	NOUN
ijassa-806	272	6	in	in	ADP
ijassa-806	272	7	the	the	DET
ijassa-806	272	8	behaviour	behaviour	NOUN
ijassa-806	272	9	of	of	ADP
ijassa-806	272	10	the	the	DET
ijassa-806	272	11	rail	rail	NOUN
ijassa-806	272	12	track	track	NOUN
ijassa-806	272	13	]	]	PUNCT
ijassa-806	272	14	.	.	PUNCT
ijassa-806	273	1	ph.d	ph.d	PROPN
ijassa-806	273	2	.	.	PUNCT
ijassa-806	274	1	thesis	thesis	PROPN
ijassa-806	274	2	,	,	PUNCT
ijassa-806	274	3	ecole	ecole	X
ijassa-806	274	4	polytechnique	polytechnique	X
ijassa-806	274	5	fédérale	fédérale	PROPN
ijassa-806	274	6	de	de	X
ijassa-806	274	7	lausanne	lausanne	PROPN
ijassa-806	274	8	,	,	PUNCT
ijassa-806	275	1	[	[	X
ijassa-806	275	2	in	in	ADP
ijassa-806	275	3	french	french	NOUN
ijassa-806	275	4	]	]	PUNCT
ijassa-806	275	5	.	.	PUNCT
ijassa-806	276	1	[	[	X
ijassa-806	276	2	6	6	NUM
ijassa-806	276	3	]	]	X
ijassa-806	276	4	chauhan	chauhan	PROPN
ijassa-806	276	5	,	,	PUNCT
ijassa-806	276	6	r.	r.	PROPN
ijassa-806	276	7	k.	k.	PROPN
ijassa-806	276	8	,	,	PUNCT
ijassa-806	276	9	dewal	dewal	PROPN
ijassa-806	276	10	,	,	PUNCT
ijassa-806	276	11	m.	m.	NOUN
ijassa-806	276	12	l.	l.	PROPN
ijassa-806	276	13	&	&	CCONJ
ijassa-806	276	14	chauhan	chauhan	PROPN
ijassa-806	276	15	,	,	PUNCT
ijassa-806	276	16	k.	k.	PROPN
ijassa-806	276	17	(	(	PUNCT
ijassa-806	276	18	2010	2010	NUM
ijassa-806	276	19	)	)	PUNCT
ijassa-806	276	20	.	.	PUNCT
ijassa-806	277	1	intelligent	intelligent	ADJ
ijassa-806	277	2	scada	scada	PROPN
ijassa-806	277	3	system	system	PROPN
ijassa-806	277	4	,	,	PUNCT
ijassa-806	277	5	structural	structural	ADJ
ijassa-806	277	6	and	and	CCONJ
ijassa-806	277	7	multidisciplinary	multidisciplinary	ADJ
ijassa-806	277	8	optimization	optimization	NOUN
ijassa-806	277	9	,	,	PUNCT
ijassa-806	277	10	2(1	2(1	NUM
ijassa-806	277	11	)	)	PUNCT
ijassa-806	277	12	,	,	PUNCT
ijassa-806	277	13	143–149	143–149	NUM
ijassa-806	277	14	.	.	PUNCT
ijassa-806	278	1	[	[	X
ijassa-806	278	2	7	7	NUM
ijassa-806	278	3	]	]	X
ijassa-806	278	4	console	console	NOUN
ijassa-806	278	5	,	,	PUNCT
ijassa-806	278	6	l.	l.	PROPN
ijassa-806	278	7	,	,	PUNCT
ijassa-806	278	8	picardi	picardi	PROPN
ijassa-806	278	9	,	,	PUNCT
ijassa-806	278	10	c.	c.	PROPN
ijassa-806	278	11	&	&	CCONJ
ijassa-806	278	12	theseiderdupre	theseiderdupre	PROPN
ijassa-806	278	13	,	,	PUNCT
ijassa-806	278	14	d.	d.	PROPN
ijassa-806	278	15	(	(	PUNCT
ijassa-806	278	16	2007	2007	NUM
ijassa-806	278	17	)	)	PUNCT
ijassa-806	278	18	.	.	PUNCT
ijassa-806	279	1	a	a	DET
ijassa-806	279	2	framework	framework	NOUN
ijassa-806	279	3	for	for	ADP
ijassa-806	279	4	decentralized	decentralized	ADJ
ijassa-806	279	5	qualitative	qualitative	ADJ
ijassa-806	279	6	model	model	NOUN
ijassa-806	279	7	-	-	PUNCT
ijassa-806	279	8	based	base	VERB
ijassa-806	279	9	diagnosis	diagnosis	NOUN
ijassa-806	279	10	.	.	PUNCT
ijassa-806	280	1	proc	proc	NOUN
ijassa-806	280	2	.	.	PUNCT
ijassa-806	281	1	of	of	ADP
ijassa-806	281	2	the	the	DET
ijassa-806	281	3	20th	20th	ADJ
ijassa-806	281	4	int	int	NOUN
ijassa-806	281	5	.	.	PUNCT
ijassa-806	282	1	joint	joint	ADJ
ijassa-806	282	2	conf	conf	NOUN
ijassa-806	282	3	.	.	PUNCT
ijassa-806	283	1	on	on	ADP
ijassa-806	283	2	artificial	artificial	ADJ
ijassa-806	283	3	intelligence	intelligence	NOUN
ijassa-806	283	4	,	,	PUNCT
ijassa-806	283	5	hyderabad	hyderabad	PROPN
ijassa-806	283	6	,	,	PUNCT
ijassa-806	283	7	india	india	PROPN
ijassa-806	283	8	,	,	PUNCT
ijassa-806	283	9	286–291	286–291	NUM
ijassa-806	283	10	.	.	PUNCT
ijassa-806	284	1	[	[	X
ijassa-806	284	2	8	8	NUM
ijassa-806	284	3	]	]	X
ijassa-806	284	4	debouk	debouk	PROPN
ijassa-806	284	5	,	,	PUNCT
ijassa-806	284	6	r.	r.	PROPN
ijassa-806	284	7	,	,	PUNCT
ijassa-806	284	8	lafortune	lafortune	PROPN
ijassa-806	284	9	,	,	PUNCT
ijassa-806	284	10	s.	s.	PROPN
ijassa-806	284	11	&	&	CCONJ
ijassa-806	284	12	teneketzis	teneketzis	PROPN
ijassa-806	284	13	,	,	PUNCT
ijassa-806	284	14	d.	d.	PROPN
ijassa-806	284	15	(	(	PUNCT
ijassa-806	284	16	2000	2000	NUM
ijassa-806	284	17	)	)	PUNCT
ijassa-806	284	18	.	.	PUNCT
ijassa-806	285	1	coordinated	coordinate	VERB
ijassa-806	285	2	decentralized	decentralize	VERB
ijassa-806	285	3	protocols	protocol	NOUN
ijassa-806	285	4	for	for	ADP
ijassa-806	285	5	failure	failure	NOUN
ijassa-806	285	6	diagnosis	diagnosis	NOUN
ijassa-806	285	7	of	of	ADP
ijassa-806	285	8	discrete	discrete	ADJ
ijassa-806	285	9	event	event	NOUN
ijassa-806	285	10	systems	system	NOUN
ijassa-806	285	11	,	,	PUNCT
ijassa-806	285	12	journal	journal	NOUN
ijassa-806	285	13	of	of	ADP
ijassa-806	285	14	discrete	discrete	ADJ
ijassa-806	285	15	event	event	NOUN
ijassa-806	285	16	dynamical	dynamical	ADJ
ijassa-806	285	17	systems	system	NOUN
ijassa-806	285	18	:	:	PUNCT
ijassa-806	285	19	theory	theory	NOUN
ijassa-806	285	20	and	and	CCONJ
ijassa-806	285	21	application	application	NOUN
ijassa-806	285	22	,	,	PUNCT
ijassa-806	285	23	10(1–2	10(1–2	PROPN
ijassa-806	285	24	)	)	PUNCT
ijassa-806	285	25	,	,	PUNCT
ijassa-806	285	26	3010–3011	3010–3011	NUM
ijassa-806	285	27	.	.	PUNCT
ijassa-806	286	1	[	[	X
ijassa-806	286	2	9	9	NUM
ijassa-806	286	3	]	]	PUNCT
ijassa-806	286	4	derbel	derbel	NOUN
ijassa-806	286	5	,	,	PUNCT
ijassa-806	286	6	h.	h.	PROPN
ijassa-806	286	7	,	,	PUNCT
ijassa-806	286	8	yeddes	yeddes	PROPN
ijassa-806	286	9	,	,	PUNCT
ijassa-806	286	10	m.	m.	NOUN
ijassa-806	286	11	,	,	PUNCT
ijassa-806	286	12	ben	ben	PROPN
ijassa-806	286	13	hadj	hadj	PROPN
ijassa-806	286	14	-	-	PUNCT
ijassa-806	286	15	alouane	alouane	NOUN
ijassa-806	286	16	,	,	PUNCT
ijassa-806	286	17	n.	n.	PROPN
ijassa-806	286	18	&	&	CCONJ
ijassa-806	286	19	alla	alla	PROPN
ijassa-806	286	20	,	,	PUNCT
ijassa-806	286	21	h.	h.	PROPN
ijassa-806	286	22	(	(	PUNCT
ijassa-806	286	23	2006	2006	NUM
ijassa-806	286	24	)	)	PUNCT
ijassa-806	286	25	.	.	PUNCT
ijassa-806	287	1	diagnosis	diagnosis	NOUN
ijassa-806	287	2	of	of	ADP
ijassa-806	287	3	a	a	DET
ijassa-806	287	4	class	class	NOUN
ijassa-806	287	5	of	of	ADP
ijassa-806	287	6	timed	time	VERB
ijassa-806	287	7	discrete	discrete	ADJ
ijassa-806	287	8	event	event	NOUN
ijassa-806	287	9	systems	system	NOUN
ijassa-806	287	10	.	.	PUNCT
ijassa-806	288	1	proc	proc	PROPN
ijassa-806	288	2	.	.	PUNCT
ijassa-806	289	1	of	of	ADP
ijassa-806	289	2	the	the	DET
ijassa-806	289	3	8th	8th	ADJ
ijassa-806	289	4	int	int	NOUN
ijassa-806	289	5	.	.	PUNCT
ijassa-806	290	1	workshop	workshop	NOUN
ijassa-806	290	2	on	on	ADP
ijassa-806	290	3	discrete	discrete	ADJ
ijassa-806	290	4	event	event	NOUN
ijassa-806	290	5	systems	system	NOUN
ijassa-806	290	6	,	,	PUNCT
ijassa-806	290	7	ann	ann	PROPN
ijassa-806	290	8	arbor	arbor	PROPN
ijassa-806	290	9	,	,	PUNCT
ijassa-806	290	10	mi	mi	PROPN
ijassa-806	290	11	,	,	PUNCT
ijassa-806	290	12	256–261	256–261	NUM
ijassa-806	290	13	.	.	PUNCT
ijassa-806	291	1	[	[	X
ijassa-806	291	2	10	10	NUM
ijassa-806	291	3	]	]	X
ijassa-806	291	4	doncescu	doncescu	PROPN
ijassa-806	291	5	,	,	PUNCT
ijassa-806	291	6	a.	a.	NOUN
ijassa-806	291	7	,	,	PUNCT
ijassa-806	291	8	aguilar	aguilar	PROPN
ijassa-806	291	9	-	-	PUNCT
ijassa-806	291	10	matin	matin	PROPN
ijassa-806	291	11	,	,	PUNCT
ijassa-806	291	12	j.	j.	PROPN
ijassa-806	291	13	&	&	CCONJ
ijassa-806	291	14	atine	atine	PROPN
ijassa-806	291	15	,	,	PUNCT
ijassa-806	291	16	j.c	j.c	PROPN
ijassa-806	291	17	.	.	PROPN
ijassa-806	291	18	(	(	PUNCT
ijassa-806	291	19	2007	2007	NUM
ijassa-806	291	20	)	)	PUNCT
ijassa-806	291	21	.	.	PUNCT
ijassa-806	292	1	image	image	NOUN
ijassa-806	292	2	color	color	NOUN
ijassa-806	292	3	segmentation	segmentation	NOUN
ijassa-806	292	4	using	use	VERB
ijassa-806	292	5	the	the	DET
ijassa-806	292	6	fuzzy	fuzzy	ADJ
ijassa-806	292	7	tree	tree	NOUN
ijassa-806	292	8	algorithm	algorithm	PROPN
ijassa-806	292	9	t	t	PROPN
ijassa-806	292	10	-	-	PUNCT
ijassa-806	292	11	lamda	lamda	VERB
ijassa-806	292	12	,	,	PUNCT
ijassa-806	292	13	fuzzy	fuzzy	ADJ
ijassa-806	292	14	sets	set	NOUN
ijassa-806	292	15	and	and	CCONJ
ijassa-806	292	16	systems	system	NOUN
ijassa-806	292	17	,	,	PUNCT
ijassa-806	292	18	158(3	158(3	NUM
ijassa-806	292	19	)	)	PUNCT
ijassa-806	292	20	,	,	PUNCT
ijassa-806	292	21	230–238	230–238	NUM
ijassa-806	292	22	.	.	PUNCT
ijassa-806	293	1	[	[	X
ijassa-806	293	2	11	11	NUM
ijassa-806	293	3	]	]	PUNCT
ijassa-806	293	4	gaarcia	gaarcia	NOUN
ijassa-806	293	5	,	,	PUNCT
ijassa-806	293	6	h.	h.	PROPN
ijassa-806	293	7	e.	e.	PROPN
ijassa-806	293	8	&	&	CCONJ
ijassa-806	293	9	yoo	yoo	PROPN
ijassa-806	293	10	,	,	PUNCT
ijassa-806	293	11	t.	t.	PROPN
ijassa-806	293	12	s.	s.	PROPN
ijassa-806	293	13	(	(	PUNCT
ijassa-806	293	14	2005	2005	NUM
ijassa-806	293	15	)	)	PUNCT
ijassa-806	293	16	.	.	PUNCT
ijassa-806	294	1	model	model	NOUN
ijassa-806	294	2	-	-	PUNCT
ijassa-806	294	3	based	base	VERB
ijassa-806	294	4	detection	detection	NOUN
ijassa-806	294	5	of	of	ADP
ijassa-806	294	6	routing	route	VERB
ijassa-806	294	7	events	event	NOUN
ijassa-806	294	8	in	in	ADP
ijassa-806	294	9	discrete	discrete	ADJ
ijassa-806	294	10	flow	flow	NOUN
ijassa-806	294	11	networks	network	NOUN
ijassa-806	294	12	,	,	PUNCT
ijassa-806	294	13	automatica	automatica	PROPN
ijassa-806	294	14	,	,	PUNCT
ijassa-806	294	15	41	41	NUM
ijassa-806	294	16	,	,	PUNCT
ijassa-806	294	17	583–594	583–594	NUM
ijassa-806	294	18	.	.	PUNCT
ijassa-806	295	1	[	[	X
ijassa-806	295	2	12	12	NUM
ijassa-806	295	3	]	]	PUNCT
ijassa-806	295	4	gabara	gabara	NOUN
ijassa-806	295	5	,	,	PUNCT
ijassa-806	295	6	g.	g.	PROPN
ijassa-806	295	7	&	&	CCONJ
ijassa-806	295	8	sawicki	sawicki	PROPN
ijassa-806	295	9	,	,	PUNCT
ijassa-806	295	10	p.	p.	NOUN
ijassa-806	295	11	(	(	PUNCT
ijassa-806	295	12	2018	2018	NUM
ijassa-806	295	13	)	)	PUNCT
ijassa-806	295	14	.	.	PUNCT
ijassa-806	296	1	a	a	DET
ijassa-806	296	2	new	new	ADJ
ijassa-806	296	3	approach	approach	NOUN
ijassa-806	296	4	for	for	ADP
ijassa-806	296	5	inspection	inspection	NOUN
ijassa-806	296	6	of	of	ADP
ijassa-806	296	7	selected	select	VERB
ijassa-806	296	8	geometric	geometric	ADJ
ijassa-806	296	9	parameters	parameter	NOUN
ijassa-806	296	10	of	of	ADP
ijassa-806	296	11	a	a	DET
ijassa-806	296	12	railway	railway	NOUN
ijassa-806	296	13	track	track	NOUN
ijassa-806	296	14	using	use	VERB
ijassa-806	296	15	image	image	NOUN
ijassa-806	296	16	-	-	PUNCT
ijassa-806	296	17	based	base	VERB
ijassa-806	296	18	point	point	NOUN
ijassa-806	296	19	clouds	cloud	NOUN
ijassa-806	296	20	,	,	PUNCT
ijassa-806	296	21	sensors	sensor	NOUN
ijassa-806	296	22	,	,	PUNCT
ijassa-806	296	23	18(3	18(3	NUM
ijassa-806	296	24	)	)	PUNCT
ijassa-806	296	25	,	,	PUNCT
ijassa-806	296	26	1–16	1–16	PROPN
ijassa-806	296	27	.	.	PUNCT
ijassa-806	297	1	[	[	X
ijassa-806	297	2	13	13	NUM
ijassa-806	297	3	]	]	X
ijassa-806	297	4	genc	genc	PROPN
ijassa-806	297	5	,	,	PUNCT
ijassa-806	297	6	s.	s.	PROPN
ijassa-806	297	7	,	,	PUNCT
ijassa-806	297	8	&	&	CCONJ
ijassa-806	297	9	lafortune	lafortune	PROPN
ijassa-806	297	10	,	,	PUNCT
ijassa-806	297	11	s.	s.	PROPN
ijassa-806	297	12	(	(	PUNCT
ijassa-806	297	13	2003	2003	NUM
ijassa-806	297	14	)	)	PUNCT
ijassa-806	297	15	.	.	PUNCT
ijassa-806	298	1	distributed	distribute	VERB
ijassa-806	298	2	diagnosis	diagnosis	NOUN
ijassa-806	298	3	of	of	ADP
ijassa-806	298	4	discrete	discrete	ADJ
ijassa-806	298	5	-	-	PUNCT
ijassa-806	298	6	event	event	NOUN
ijassa-806	298	7	systems	system	NOUN
ijassa-806	298	8	using	use	VERB
ijassa-806	298	9	petri	petri	ADJ
ijassa-806	298	10	nets	net	NOUN
ijassa-806	298	11	.	.	PUNCT
ijassa-806	299	1	proc	proc	NOUN
ijassa-806	299	2	.	.	PUNCT
ijassa-806	300	1	of	of	ADP
ijassa-806	300	2	the	the	DET
ijassa-806	300	3	int	int	NOUN
ijassa-806	300	4	.	.	PUNCT
ijassa-806	301	1	conf	conf	PROPN
ijassa-806	301	2	.	.	PUNCT
ijassa-806	302	1	on	on	ADP
ijassa-806	302	2	application	application	NOUN
ijassa-806	302	3	and	and	CCONJ
ijassa-806	302	4	theory	theory	NOUN
ijassa-806	302	5	of	of	ADP
ijassa-806	302	6	petri	petri	ADJ
ijassa-806	302	7	nets	net	NOUN
ijassa-806	302	8	,	,	PUNCT
ijassa-806	302	9	eindhoven	eindhoven	VERB
ijassa-806	302	10	,	,	PUNCT
ijassa-806	302	11	the	the	DET
ijassa-806	302	12	netherlands	netherlands	PROPN
ijassa-806	302	13	,	,	PUNCT
ijassa-806	302	14	316–336	316–336	NUM
ijassa-806	302	15	.	.	PUNCT
ijassa-806	303	1	[	[	X
ijassa-806	303	2	14	14	NUM
ijassa-806	303	3	]	]	X
ijassa-806	303	4	ghazel	ghazel	ADJ
ijassa-806	303	5	,	,	PUNCT
ijassa-806	303	6	m.	m.	NOUN
ijassa-806	303	7	,	,	PUNCT
ijassa-806	303	8	togueni	togueni	PROPN
ijassa-806	303	9	&	&	CCONJ
ijassa-806	303	10	bigang	bigang	PROPN
ijassa-806	303	11	,	,	PUNCT
ijassa-806	303	12	m.	m.	NOUN
ijassa-806	303	13	(	(	PUNCT
ijassa-806	303	14	2005	2005	NUM
ijassa-806	303	15	)	)	PUNCT
ijassa-806	303	16	.	.	PUNCT
ijassa-806	304	1	a	a	DET
ijassa-806	304	2	monitoring	monitoring	NOUN
ijassa-806	304	3	approach	approach	NOUN
ijassa-806	304	4	for	for	ADP
ijassa-806	304	5	discrete	discrete	ADJ
ijassa-806	304	6	events	event	NOUN
ijassa-806	304	7	systems	system	NOUN
ijassa-806	304	8	based	base	VERB
ijassa-806	304	9	on	on	ADP
ijassa-806	304	10	a	a	DET
ijassa-806	304	11	timed	time	VERB
ijassa-806	304	12	petri	petri	ADJ
ijassa-806	304	13	net	net	ADJ
ijassa-806	304	14	model	model	NOUN
ijassa-806	304	15	,	,	PUNCT
ijassa-806	304	16	ifac	ifac	NOUN
ijassa-806	304	17	proceedings	proceeding	NOUN
ijassa-806	304	18	volumes	volume	NOUN
ijassa-806	304	19	,	,	PUNCT
ijassa-806	304	20	38(1	38(1	NUM
ijassa-806	304	21	)	)	PUNCT
ijassa-806	304	22	,	,	PUNCT
ijassa-806	304	23	331–336	331–336	NUM
ijassa-806	304	24	.	.	PUNCT
ijassa-806	305	1	[	[	X
ijassa-806	305	2	15	15	NUM
ijassa-806	305	3	]	]	X
ijassa-806	305	4	godwin	godwin	PROPN
ijassa-806	305	5	,	,	PUNCT
ijassa-806	305	6	j.	j.	PROPN
ijassa-806	305	7	l.	l.	PROPN
ijassa-806	305	8	,	,	PUNCT
ijassa-806	305	9	matthews	matthews	PROPN
ijassa-806	305	10	,	,	PUNCT
ijassa-806	305	11	p.	p.	PROPN
ijassa-806	305	12	c.	c.	PROPN
ijassa-806	305	13	&	&	CCONJ
ijassa-806	305	14	watson	watson	PROPN
ijassa-806	305	15	,	,	PUNCT
ijassa-806	305	16	c.	c.	PROPN
ijassa-806	305	17	(	(	PUNCT
ijassa-806	305	18	2013	2013	NUM
ijassa-806	305	19	)	)	PUNCT
ijassa-806	305	20	.	.	PUNCT
ijassa-806	306	1	classification	classification	NOUN
ijassa-806	306	2	and	and	CCONJ
ijassa-806	306	3	detection	detection	NOUN
ijassa-806	306	4	of	of	ADP
ijassa-806	306	5	electrical	electrical	ADJ
ijassa-806	306	6	control	control	NOUN
ijassa-806	306	7	system	system	NOUN
ijassa-806	306	8	faults	fault	NOUN
ijassa-806	306	9	through	through	ADP
ijassa-806	306	10	scada	scada	PROPN
ijassa-806	306	11	data	data	PROPN
ijassa-806	306	12	analysis	analysis	NOUN
ijassa-806	306	13	,	,	PUNCT
ijassa-806	306	14	chemical	chemical	NOUN
ijassa-806	306	15	engineering	engineering	NOUN
ijassa-806	306	16	transactions	transaction	NOUN
ijassa-806	306	17	,	,	PUNCT
ijassa-806	306	18	33	33	NUM
ijassa-806	306	19	,	,	PUNCT
ijassa-806	306	20	985–990	985–990	NUM
ijassa-806	306	21	.	.	PUNCT
ijassa-806	307	1	[	[	X
ijassa-806	307	2	16	16	NUM
ijassa-806	307	3	]	]	X
ijassa-806	307	4	hallgren	hallgren	PROPN
ijassa-806	307	5	,	,	PUNCT
ijassa-806	307	6	d.	d.	PROPN
ijassa-806	307	7	&	&	CCONJ
ijassa-806	307	8	skog	skog	PROPN
ijassa-806	307	9	,	,	PUNCT
ijassa-806	307	10	h.	h.	PROPN
ijassa-806	307	11	(	(	PUNCT
ijassa-806	307	12	2005	2005	NUM
ijassa-806	307	13	)	)	PUNCT
ijassa-806	307	14	.	.	PUNCT
ijassa-806	308	1	distributed	distribute	VERB
ijassa-806	308	2	fault	fault	NOUN
ijassa-806	308	3	diagnosis	diagnosis	NOUN
ijassa-806	308	4	for	for	ADP
ijassa-806	308	5	networked	networked	ADJ
ijassa-806	308	6	embedded	embed	VERB
ijassa-806	308	7	systems	system	NOUN
ijassa-806	308	8	.	.	PUNCT
ijassa-806	309	1	master	master	NOUN
ijassa-806	309	2	’s	’s	PART
ijassa-806	309	3	thesis	thesis	NOUN
ijassa-806	309	4	,	,	PUNCT
ijassa-806	309	5	linkoping	linkope	VERB
ijassa-806	309	6	university	university	NOUN
ijassa-806	309	7	.	.	PUNCT
ijassa-806	310	1	128	128	NUM
ijassa-806	310	2	h.	h.	PROPN
ijassa-806	310	3	serradj	serradj	PROPN
ijassa-806	310	4	,	,	PUNCT
ijassa-806	310	5	m.	m.	NOUN
ijassa-806	310	6	noureddine	noureddine	ADP
ijassa-806	310	7	copyright	copyright	NOUN
ijassa-806	310	8	©	©	PROPN
ijassa-806	310	9	2023	2023	NUM
ijassa-806	310	10	assa	assa	PROPN
ijassa-806	310	11	adv	adv	PROPN
ijassa-806	310	12	.	.	PUNCT
ijassa-806	311	1	in	in	ADP
ijassa-806	311	2	systems	system	NOUN
ijassa-806	311	3	science	science	NOUN
ijassa-806	311	4	and	and	CCONJ
ijassa-806	311	5	appl	appl	NOUN
ijassa-806	311	6	.	.	PUNCT
ijassa-806	312	1	(	(	PUNCT
ijassa-806	312	2	2023	2023	NUM
ijassa-806	312	3	)	)	PUNCT
ijassa-806	313	1	[	[	X
ijassa-806	313	2	17	17	NUM
ijassa-806	313	3	]	]	X
ijassa-806	313	4	kempowsky	kempowsky	NOUN
ijassa-806	313	5	,	,	PUNCT
ijassa-806	313	6	t.	t.	PROPN
ijassa-806	313	7	(	(	PUNCT
ijassa-806	313	8	2004	2004	NUM
ijassa-806	313	9	)	)	PUNCT
ijassa-806	313	10	.	.	PUNCT
ijassa-806	314	1	surveillance	surveillance	NOUN
ijassa-806	314	2	de	de	X
ijassa-806	314	3	procédés	procédés	X
ijassa-806	314	4	à	à	X
ijassa-806	314	5	base	base	X
ijassa-806	314	6	de	de	X
ijassa-806	314	7	méthodes	méthodes	X
ijassa-806	314	8	de	de	X
ijassa-806	314	9	classification	classification	NOUN
ijassa-806	314	10	:	:	PUNCT
ijassa-806	314	11	conception	conception	NOUN
ijassa-806	314	12	d’outil	d’outil	PROPN
ijassa-806	314	13	d’aide	d’aide	NOUN
ijassa-806	314	14	à	à	X
ijassa-806	314	15	la	la	PROPN
ijassa-806	314	16	détection	détection	NOUN
ijassa-806	314	17	et	et	NOUN
ijassa-806	314	18	le	le	X
ijassa-806	314	19	diagnostic	diagnostic	PROPN
ijassa-806	314	20	de	de	X
ijassa-806	314	21	défaillances	défaillance	NOUN
ijassa-806	314	22	[	[	NOUN
ijassa-806	314	23	process	process	NOUN
ijassa-806	314	24	monitoring	monitoring	NOUN
ijassa-806	314	25	based	base	VERB
ijassa-806	314	26	on	on	ADP
ijassa-806	314	27	classification	classification	NOUN
ijassa-806	314	28	methods	method	NOUN
ijassa-806	314	29	:	:	PUNCT
ijassa-806	314	30	design	design	NOUN
ijassa-806	314	31	of	of	ADP
ijassa-806	314	32	a	a	DET
ijassa-806	314	33	tool	tool	NOUN
ijassa-806	314	34	for	for	ADP
ijassa-806	314	35	assisting	assist	VERB
ijassa-806	314	36	the	the	DET
ijassa-806	314	37	detection	detection	NOUN
ijassa-806	314	38	and	and	CCONJ
ijassa-806	314	39	diagnosis	diagnosis	NOUN
ijassa-806	314	40	of	of	ADP
ijassa-806	314	41	failures	failure	NOUN
ijassa-806	314	42	]	]	PUNCT
ijassa-806	314	43	.	.	PUNCT
ijassa-806	315	1	ph.d	ph.d	PROPN
ijassa-806	315	2	.	.	PUNCT
ijassa-806	316	1	thesis	thesis	NOUN
ijassa-806	316	2	,	,	PUNCT
ijassa-806	316	3	laas	laas	NOUN
ijassa-806	316	4	-	-	PUNCT
ijassa-806	316	5	cnrs	cnrs	NOUN
ijassa-806	316	6	toulouse	toulouse	NOUN
ijassa-806	316	7	,	,	PUNCT
ijassa-806	316	8	[	[	X
ijassa-806	316	9	in	in	ADP
ijassa-806	316	10	french	french	NOUN
ijassa-806	316	11	]	]	PUNCT
ijassa-806	316	12	.	.	PUNCT
ijassa-806	317	1	[	[	X
ijassa-806	317	2	18	18	NUM
ijassa-806	317	3	]	]	X
ijassa-806	317	4	kempowsky	kempowsky	NOUN
ijassa-806	317	5	,	,	PUNCT
ijassa-806	317	6	t.	t.	PROPN
ijassa-806	317	7	,	,	PUNCT
ijassa-806	317	8	aguilar	aguilar	PROPN
ijassa-806	317	9	-	-	PUNCT
ijassa-806	317	10	martin	martin	PROPN
ijassa-806	317	11	j.	j.	PROPN
ijassa-806	317	12	,	,	PUNCT
ijassa-806	317	13	subias	subias	PROPN
ijassa-806	317	14	a.	a.	PROPN
ijassa-806	317	15	&	&	CCONJ
ijassa-806	317	16	le	le	PROPN
ijassa-806	317	17	lann	lann	PROPN
ijassa-806	317	18	m.	m.	PROPN
ijassa-806	317	19	v.	v.	PROPN
ijassa-806	317	20	(	(	PUNCT
ijassa-806	317	21	2003	2003	NUM
ijassa-806	317	22	)	)	PUNCT
ijassa-806	317	23	.	.	PUNCT
ijassa-806	318	1	classification	classification	NOUN
ijassa-806	318	2	tool	tool	NOUN
ijassa-806	318	3	based	base	VERB
ijassa-806	318	4	on	on	ADP
ijassa-806	318	5	interactivity	interactivity	NOUN
ijassa-806	318	6	between	between	ADP
ijassa-806	318	7	expertise	expertise	NOUN
ijassa-806	318	8	and	and	CCONJ
ijassa-806	318	9	self	self	NOUN
ijassa-806	318	10	-	-	PUNCT
ijassa-806	318	11	learning	learn	VERB
ijassa-806	318	12	techniques	technique	NOUN
ijassa-806	318	13	.	.	PUNCT
ijassa-806	319	1	ifac	ifac	NOUN
ijassa-806	319	2	proceedings	proceeding	NOUN
ijassa-806	319	3	volumes	volume	NOUN
ijassa-806	319	4	,	,	PUNCT
ijassa-806	319	5	36(5	36(5	NUM
ijassa-806	319	6	)	)	PUNCT
ijassa-806	319	7	,	,	PUNCT
ijassa-806	319	8	675–680	675–680	NUM
ijassa-806	319	9	.	.	PUNCT
ijassa-806	320	1	[	[	X
ijassa-806	320	2	19	19	NUM
ijassa-806	320	3	]	]	X
ijassa-806	320	4	kempowsky	kempowsky	NOUN
ijassa-806	320	5	,	,	PUNCT
ijassa-806	320	6	t.	t.	PROPN
ijassa-806	320	7	,	,	PUNCT
ijassa-806	320	8	subias	subias	PROPN
ijassa-806	320	9	,	,	PUNCT
ijassa-806	320	10	a.	a.	PROPN
ijassa-806	320	11	&	&	CCONJ
ijassa-806	320	12	aguilar	aguilar	PROPN
ijassa-806	320	13	-	-	PUNCT
ijassa-806	320	14	martin	martin	PROPN
ijassa-806	320	15	,	,	PUNCT
ijassa-806	320	16	j.	j.	PROPN
ijassa-806	320	17	(	(	PUNCT
ijassa-806	320	18	2004	2004	NUM
ijassa-806	320	19	)	)	PUNCT
ijassa-806	320	20	.	.	PUNCT
ijassa-806	321	1	supervision	supervision	NOUN
ijassa-806	321	2	of	of	ADP
ijassa-806	321	3	complex	complex	ADJ
ijassa-806	321	4	processes	process	NOUN
ijassa-806	321	5	:	:	PUNCT
ijassa-806	321	6	strategy	strategy	NOUN
ijassa-806	321	7	for	for	ADP
ijassa-806	321	8	fault	fault	NOUN
ijassa-806	321	9	detection	detection	NOUN
ijassa-806	321	10	and	and	CCONJ
ijassa-806	321	11	diagnosis	diagnosis	NOUN
ijassa-806	321	12	.	.	PUNCT
ijassa-806	322	1	proc	proc	NOUN
ijassa-806	322	2	.	.	PUNCT
ijassa-806	323	1	of	of	ADP
ijassa-806	323	2	the	the	DET
ijassa-806	323	3	3th	3th	ADJ
ijassa-806	323	4	conf	conf	NOUN
ijassa-806	323	5	.	.	PUNCT
ijassa-806	324	1	on	on	ADP
ijassa-806	324	2	management	management	NOUN
ijassa-806	324	3	and	and	CCONJ
ijassa-806	324	4	control	control	NOUN
ijassa-806	324	5	of	of	ADP
ijassa-806	324	6	production	production	NOUN
ijassa-806	324	7	and	and	CCONJ
ijassa-806	324	8	logistics	logistic	NOUN
ijassa-806	324	9	,	,	PUNCT
ijassa-806	324	10	santiago	santiago	PROPN
ijassa-806	324	11	de	de	PROPN
ijassa-806	324	12	chile	chile	PROPN
ijassa-806	324	13	,	,	PUNCT
ijassa-806	324	14	chile	chile	PROPN
ijassa-806	324	15	,	,	PUNCT
ijassa-806	324	16	87–93	87–93	NUM
ijassa-806	324	17	.	.	PUNCT
ijassa-806	325	1	[	[	X
ijassa-806	325	2	20	20	NUM
ijassa-806	325	3	]	]	X
ijassa-806	325	4	liu	liu	PROPN
ijassa-806	325	5	,	,	PUNCT
ijassa-806	325	6	j.	j.	PROPN
ijassa-806	325	7	&	&	CCONJ
ijassa-806	325	8	zio	zio	PROPN
ijassa-806	325	9	.	.	PROPN
ijassa-806	325	10	,	,	PUNCT
ijassa-806	325	11	e.	e.	PROPN
ijassa-806	325	12	(	(	PUNCT
ijassa-806	325	13	2018	2018	NUM
ijassa-806	325	14	)	)	PUNCT
ijassa-806	325	15	.	.	PUNCT
ijassa-806	326	1	a	a	DET
ijassa-806	326	2	scalable	scalable	ADJ
ijassa-806	326	3	fuzzy	fuzzy	ADJ
ijassa-806	326	4	support	support	NOUN
ijassa-806	326	5	vector	vector	NOUN
ijassa-806	326	6	machine	machine	NOUN
ijassa-806	326	7	for	for	ADP
ijassa-806	326	8	fault	fault	NOUN
ijassa-806	326	9	detection	detection	NOUN
ijassa-806	326	10	in	in	ADP
ijassa-806	326	11	transportation	transportation	NOUN
ijassa-806	326	12	systems	system	NOUN
ijassa-806	326	13	,	,	PUNCT
ijassa-806	326	14	expert	expert	NOUN
ijassa-806	326	15	systems	system	NOUN
ijassa-806	326	16	with	with	ADP
ijassa-806	326	17	applications	application	NOUN
ijassa-806	326	18	,	,	PUNCT
ijassa-806	326	19	102	102	NUM
ijassa-806	326	20	,	,	PUNCT
ijassa-806	326	21	36–43	36–43	NUM
ijassa-806	326	22	.	.	PUNCT
ijassa-806	327	1	[	[	X
ijassa-806	327	2	21	21	NUM
ijassa-806	327	3	]	]	ADJ
ijassa-806	327	4	matisa	matisa	NOUN
ijassa-806	327	5	(	(	PUNCT
ijassa-806	327	6	2018	2018	NUM
ijassa-806	327	7	)	)	PUNCT
ijassa-806	327	8	.	.	PUNCT
ijassa-806	328	1	track	track	NOUN
ijassa-806	328	2	inspection	inspection	NOUN
ijassa-806	328	3	vehicles	vehicle	NOUN
ijassa-806	328	4	.	.	PUNCT
ijassa-806	329	1	brochure	brochure	NOUN
ijassa-806	329	2	,	,	PUNCT
ijassa-806	329	3	[	[	X
ijassa-806	329	4	online	online	X
ijassa-806	329	5	]	]	X
ijassa-806	329	6	available	available	ADJ
ijassa-806	329	7	https://www.matisa.ch/brochures_pdf/en/mesure_en.pdf	https://www.matisa.ch/brochures_pdf/en/mesure_en.pdf	NOUN
ijassa-806	329	8	[	[	X
ijassa-806	329	9	22	22	NUM
ijassa-806	329	10	]	]	PUNCT
ijassa-806	329	11	mokhtari	mokhtari	PROPN
ijassa-806	329	12	,	,	PUNCT
ijassa-806	329	13	a.	a.	PROPN
ijassa-806	329	14	,	,	PUNCT
ijassa-806	329	15	le	le	X
ijassa-806	329	16	lann	lann	PROPN
ijassa-806	329	17	,	,	PUNCT
ijassa-806	329	18	m.	m.	NOUN
ijassa-806	329	19	v.	v.	PROPN
ijassa-806	329	20	,	,	PUNCT
ijassa-806	329	21	hetreux	hetreux	PROPN
ijassa-806	329	22	,	,	PUNCT
ijassa-806	329	23	g.	g.	PROPN
ijassa-806	329	24	&	&	CCONJ
ijassa-806	329	25	le	le	PROPN
ijassa-806	329	26	lann	lann	PROPN
ijassa-806	329	27	,	,	PUNCT
ijassa-806	329	28	j.	j.	PROPN
ijassa-806	329	29	m.	m.	PROPN
ijassa-806	329	30	(	(	PUNCT
ijassa-806	329	31	2006	2006	NUM
ijassa-806	329	32	)	)	PUNCT
ijassa-806	329	33	.	.	PUNCT
ijassa-806	330	1	a	a	DET
ijassa-806	330	2	fault	fault	NOUN
ijassa-806	330	3	diagnosis	diagnosis	NOUN
ijassa-806	330	4	approach	approach	NOUN
ijassa-806	330	5	for	for	ADP
ijassa-806	330	6	hybrid	hybrid	NOUN
ijassa-806	330	7	systems	system	NOUN
ijassa-806	330	8	.	.	PUNCT
ijassa-806	331	1	proc	proc	PROPN
ijassa-806	331	2	.	.	PUNCT
ijassa-806	332	1	of	of	ADP
ijassa-806	332	2	the	the	DET
ijassa-806	332	3	32nd	32nd	ADJ
ijassa-806	332	4	annual	annual	ADJ
ijassa-806	332	5	conference	conference	NOUN
ijassa-806	332	6	on	on	ADP
ijassa-806	332	7	ieee	ieee	NOUN
ijassa-806	332	8	industrial	industrial	ADJ
ijassa-806	332	9	electronics	electronic	NOUN
ijassa-806	332	10	,	,	PUNCT
ijassa-806	332	11	paris	paris	PROPN
ijassa-806	332	12	,	,	PUNCT
ijassa-806	332	13	france	france	PROPN
ijassa-806	332	14	,	,	PUNCT
ijassa-806	332	15	615–620	615–620	NUM
ijassa-806	332	16	.	.	PUNCT
ijassa-806	333	1	[	[	X
ijassa-806	333	2	23	23	NUM
ijassa-806	333	3	]	]	X
ijassa-806	333	4	orantes	orante	NOUN
ijassa-806	333	5	,	,	PUNCT
ijassa-806	333	6	a.	a.	NOUN
ijassa-806	333	7	,	,	PUNCT
ijassa-806	333	8	kempowsky	kempowsky	NOUN
ijassa-806	333	9	,	,	PUNCT
ijassa-806	333	10	t.	t.	PROPN
ijassa-806	333	11	&	&	CCONJ
ijassa-806	333	12	le	le	PROPN
ijassa-806	333	13	lann	lann	PROPN
ijassa-806	333	14	,	,	PUNCT
ijassa-806	333	15	m.	m.	NOUN
ijassa-806	333	16	v.	v.	PROPN
ijassa-806	333	17	(	(	PUNCT
ijassa-806	333	18	2006	2006	NUM
ijassa-806	333	19	)	)	PUNCT
ijassa-806	333	20	.	.	PUNCT
ijassa-806	334	1	classification	classification	NOUN
ijassa-806	334	2	as	as	ADP
ijassa-806	334	3	an	an	DET
ijassa-806	334	4	aid	aid	NOUN
ijassa-806	334	5	tool	tool	NOUN
ijassa-806	334	6	for	for	ADP
ijassa-806	334	7	the	the	DET
ijassa-806	334	8	selection	selection	NOUN
ijassa-806	334	9	of	of	ADP
ijassa-806	334	10	sensors	sensor	NOUN
ijassa-806	334	11	used	use	VERB
ijassa-806	334	12	for	for	ADP
ijassa-806	334	13	fault	fault	NOUN
ijassa-806	334	14	detection	detection	NOUN
ijassa-806	334	15	and	and	CCONJ
ijassa-806	334	16	isolation	isolation	NOUN
ijassa-806	334	17	,	,	PUNCT
ijassa-806	334	18	transactions	transaction	NOUN
ijassa-806	334	19	of	of	ADP
ijassa-806	334	20	the	the	DET
ijassa-806	334	21	institute	institute	PROPN
ijassa-806	334	22	of	of	ADP
ijassa-806	334	23	measurement	measurement	NOUN
ijassa-806	334	24	and	and	CCONJ
ijassa-806	334	25	control	control	NOUN
ijassa-806	334	26	,	,	PUNCT
ijassa-806	334	27	28	28	NUM
ijassa-806	334	28	,	,	PUNCT
ijassa-806	334	29	457–479	457–479	NUM
ijassa-806	334	30	.	.	PUNCT
ijassa-806	335	1	[	[	X
ijassa-806	335	2	24	24	NUM
ijassa-806	335	3	]	]	SYM
ijassa-806	335	4	pandalai	pandalai	PROPN
ijassa-806	335	5	,	,	PUNCT
ijassa-806	335	6	d.	d.	PROPN
ijassa-806	335	7	&	&	CCONJ
ijassa-806	335	8	holloway	holloway	PROPN
ijassa-806	335	9	,	,	PUNCT
ijassa-806	335	10	l.	l.	PROPN
ijassa-806	335	11	e.	e.	PROPN
ijassa-806	335	12	n.	n.	PROPN
ijassa-806	335	13	(	(	PUNCT
ijassa-806	335	14	2000	2000	NUM
ijassa-806	335	15	)	)	PUNCT
ijassa-806	335	16	.	.	PUNCT
ijassa-806	336	1	template	template	NOUN
ijassa-806	336	2	languages	language	NOUN
ijassa-806	336	3	for	for	ADP
ijassa-806	336	4	fault	fault	NOUN
ijassa-806	336	5	monitoring	monitoring	NOUN
ijassa-806	336	6	of	of	ADP
ijassa-806	336	7	timed	time	VERB
ijassa-806	336	8	discrete	discrete	ADJ
ijassa-806	336	9	event	event	NOUN
ijassa-806	336	10	processes	process	NOUN
ijassa-806	336	11	,	,	PUNCT
ijassa-806	336	12	ieee	ieee	NOUN
ijassa-806	336	13	transactions	transaction	NOUN
ijassa-806	336	14	on	on	ADP
ijassa-806	336	15	automatic	automatic	ADJ
ijassa-806	336	16	control	control	NOUN
ijassa-806	336	17	,	,	PUNCT
ijassa-806	336	18	45(5	45(5	NOUN
ijassa-806	336	19	)	)	PUNCT
ijassa-806	336	20	,	,	PUNCT
ijassa-806	336	21	868–882	868–882	NUM
ijassa-806	336	22	.	.	PUNCT
ijassa-806	337	1	[	[	X
ijassa-806	337	2	25	25	NUM
ijassa-806	337	3	]	]	PUNCT
ijassa-806	337	4	pencole	pencole	NOUN
ijassa-806	337	5	,	,	PUNCT
ijassa-806	337	6	y.	y.	PROPN
ijassa-806	337	7	&	&	CCONJ
ijassa-806	337	8	cordier	cordier	PROPN
ijassa-806	337	9	,	,	PUNCT
ijassa-806	337	10	m.	m.	NOUN
ijassa-806	337	11	o.	o.	PROPN
ijassa-806	337	12	(	(	PUNCT
ijassa-806	337	13	2005	2005	NUM
ijassa-806	337	14	)	)	PUNCT
ijassa-806	337	15	.	.	PUNCT
ijassa-806	338	1	a	a	DET
ijassa-806	338	2	formal	formal	ADJ
ijassa-806	338	3	framework	framework	NOUN
ijassa-806	338	4	for	for	ADP
ijassa-806	338	5	the	the	DET
ijassa-806	338	6	decentralised	decentralise	VERB
ijassa-806	338	7	diagnosis	diagnosis	NOUN
ijassa-806	338	8	of	of	ADP
ijassa-806	338	9	large	large	ADJ
ijassa-806	338	10	scale	scale	NOUN
ijassa-806	338	11	discrete	discrete	ADJ
ijassa-806	338	12	event	event	NOUN
ijassa-806	338	13	systems	system	NOUN
ijassa-806	338	14	and	and	CCONJ
ijassa-806	338	15	its	its	PRON
ijassa-806	338	16	application	application	NOUN
ijassa-806	338	17	to	to	ADP
ijassa-806	338	18	telecommunication	telecommunication	NOUN
ijassa-806	338	19	networks	network	NOUN
ijassa-806	338	20	,	,	PUNCT
ijassa-806	338	21	artificial	artificial	ADJ
ijassa-806	338	22	intelligence	intelligence	NOUN
ijassa-806	338	23	,	,	PUNCT
ijassa-806	338	24	164(1–2	164(1–2	NUM
ijassa-806	338	25	)	)	PUNCT
ijassa-806	338	26	,	,	PUNCT
ijassa-806	338	27	121–170	121–170	NUM
ijassa-806	338	28	.	.	PUNCT
ijassa-806	339	1	[	[	X
ijassa-806	339	2	26	26	NUM
ijassa-806	339	3	]	]	PUNCT
ijassa-806	339	4	philippot	philippot	NOUN
ijassa-806	339	5	,	,	PUNCT
ijassa-806	339	6	a.	a.	PROPN
ijassa-806	339	7	,	,	PUNCT
ijassa-806	339	8	sayed	say	VERB
ijassa-806	339	9	mouchaweh	mouchaweh	PROPN
ijassa-806	339	10	,	,	PUNCT
ijassa-806	339	11	m.	m.	NOUN
ijassa-806	339	12	,	,	PUNCT
ijassa-806	339	13	carre	carre	NOUN
ijassa-806	339	14	-	-	PUNCT
ijassa-806	339	15	menetrier	menetrier	NOUN
ijassa-806	339	16	,	,	PUNCT
ijassa-806	339	17	v.	v.	PROPN
ijassa-806	339	18	&	&	CCONJ
ijassa-806	339	19	riera	riera	PROPN
ijassa-806	339	20	,	,	PUNCT
ijassa-806	339	21	b.	b.	PROPN
ijassa-806	339	22	(	(	PUNCT
ijassa-806	339	23	2006	2006	NUM
ijassa-806	339	24	)	)	PUNCT
ijassa-806	339	25	.	.	PUNCT
ijassa-806	340	1	decentralized	decentralize	VERB
ijassa-806	340	2	approach	approach	NOUN
ijassa-806	340	3	to	to	AUX
ijassa-806	340	4	diagnose	diagnose	NOUN
ijassa-806	340	5	manufacturing	manufacturing	NOUN
ijassa-806	340	6	systems	system	NOUN
ijassa-806	340	7	.	.	PUNCT
ijassa-806	341	1	proc	proc	PROPN
ijassa-806	341	2	.	.	PUNCT
ijassa-806	342	1	of	of	ADP
ijassa-806	342	2	the	the	DET
ijassa-806	342	3	int	int	NOUN
ijassa-806	342	4	.	.	PUNCT
ijassa-806	343	1	conf	conf	PROPN
ijassa-806	343	2	.	.	PUNCT
ijassa-806	344	1	of	of	ADP
ijassa-806	344	2	the	the	DET
ijassa-806	344	3	computational	computational	ADJ
ijassa-806	344	4	engineering	engineering	NOUN
ijassa-806	344	5	in	in	ADP
ijassa-806	344	6	systems	system	NOUN
ijassa-806	344	7	applications	application	NOUN
ijassa-806	344	8	,	,	PUNCT
ijassa-806	344	9	beijing	beijing	PROPN
ijassa-806	344	10	,	,	PUNCT
ijassa-806	344	11	china	china	PROPN
ijassa-806	344	12	,	,	PUNCT
ijassa-806	344	13	912–918	912–918	NUM
ijassa-806	344	14	.	.	PUNCT
ijassa-806	345	1	[	[	X
ijassa-806	345	2	27	27	NUM
ijassa-806	345	3	]	]	SYM
ijassa-806	345	4	ravichandran	ravichandran	NOUN
ijassa-806	345	5	,	,	PUNCT
ijassa-806	345	6	v.	v.	PROPN
ijassa-806	345	7	j.	j.	PROPN
ijassa-806	345	8	(	(	PUNCT
ijassa-806	345	9	2002	2002	NUM
ijassa-806	345	10	)	)	PUNCT
ijassa-806	345	11	.	.	PUNCT
ijassa-806	346	1	distributed	distribute	VERB
ijassa-806	346	2	diagnosis	diagnosis	NOUN
ijassa-806	346	3	for	for	ADP
ijassa-806	346	4	state	state	NOUN
ijassa-806	346	5	-	-	PUNCT
ijassa-806	346	6	based	base	VERB
ijassa-806	346	7	discrete	discrete	ADJ
ijassa-806	346	8	event	event	NOUN
ijassa-806	346	9	systems	system	NOUN
ijassa-806	346	10	.	.	PUNCT
ijassa-806	347	1	ph.d	ph.d	PROPN
ijassa-806	347	2	.	.	PUNCT
ijassa-806	348	1	thesis	thesis	NOUN
ijassa-806	348	2	,	,	PUNCT
ijassa-806	348	3	university	university	PROPN
ijassa-806	348	4	of	of	ADP
ijassa-806	348	5	toronto	toronto	PROPN
ijassa-806	348	6	.	.	PUNCT
ijassa-806	349	1	[	[	X
ijassa-806	349	2	28	28	NUM
ijassa-806	349	3	]	]	X
ijassa-806	349	4	sampath	sampath	NOUN
ijassa-806	349	5	,	,	PUNCT
ijassa-806	349	6	m.	m.	NOUN
ijassa-806	349	7	(	(	PUNCT
ijassa-806	349	8	2001	2001	NUM
ijassa-806	349	9	)	)	PUNCT
ijassa-806	349	10	.	.	PUNCT
ijassa-806	350	1	a	a	DET
ijassa-806	350	2	hybrid	hybrid	ADJ
ijassa-806	350	3	approach	approach	NOUN
ijassa-806	350	4	to	to	ADP
ijassa-806	350	5	failure	failure	NOUN
ijassa-806	350	6	diagnosis	diagnosis	NOUN
ijassa-806	350	7	of	of	ADP
ijassa-806	350	8	industrial	industrial	ADJ
ijassa-806	350	9	systems	system	NOUN
ijassa-806	350	10	.	.	PUNCT
ijassa-806	351	1	proc	proc	PROPN
ijassa-806	351	2	.	.	PUNCT
ijassa-806	352	1	of	of	ADP
ijassa-806	352	2	the	the	DET
ijassa-806	352	3	american	american	PROPN
ijassa-806	352	4	control	control	PROPN
ijassa-806	352	5	conference	conference	PROPN
ijassa-806	352	6	,	,	PUNCT
ijassa-806	352	7	arlington	arlington	PROPN
ijassa-806	352	8	,	,	PUNCT
ijassa-806	352	9	tx	tx	PROPN
ijassa-806	352	10	,	,	PUNCT
ijassa-806	352	11	2077–2082	2077–2082	NUM
ijassa-806	353	1	.	.	PUNCT
ijassa-806	354	1	[	[	X
ijassa-806	354	2	29	29	NUM
ijassa-806	354	3	]	]	X
ijassa-806	354	4	silva	silva	NOUN
ijassa-806	354	5	,	,	PUNCT
ijassa-806	354	6	m.	m.	NOUN
ijassa-806	354	7	(	(	PUNCT
ijassa-806	354	8	2018	2018	NUM
ijassa-806	354	9	)	)	PUNCT
ijassa-806	354	10	.	.	PUNCT
ijassa-806	355	1	on	on	ADP
ijassa-806	355	2	the	the	DET
ijassa-806	355	3	history	history	NOUN
ijassa-806	355	4	of	of	ADP
ijassa-806	355	5	discrete	discrete	ADJ
ijassa-806	355	6	event	event	NOUN
ijassa-806	355	7	systems	system	NOUN
ijassa-806	355	8	.	.	PUNCT
ijassa-806	356	1	annual	annual	ADJ
ijassa-806	356	2	reviews	review	NOUN
ijassa-806	356	3	in	in	ADP
ijassa-806	356	4	control	control	NOUN
ijassa-806	356	5	,	,	PUNCT
ijassa-806	356	6	45	45	NUM
ijassa-806	356	7	,	,	PUNCT
ijassa-806	356	8	213–222	213–222	NUM
ijassa-806	356	9	.	.	PUNCT
ijassa-806	357	1	[	[	X
ijassa-806	357	2	30	30	NUM
ijassa-806	357	3	]	]	X
ijassa-806	357	4	surya	surya	PROPN
ijassa-806	357	5	prasath	prasath	PROPN
ijassa-806	357	6	,	,	PUNCT
ijassa-806	357	7	v.	v.	PROPN
ijassa-806	357	8	b.	b.	PROPN
ijassa-806	357	9	,	,	PUNCT
ijassa-806	357	10	et	et	PROPN
ijassa-806	357	11	.	.	PUNCT
ijassa-806	358	1	al	al	PROPN
ijassa-806	358	2	(	(	PUNCT
ijassa-806	358	3	2019	2019	NUM
ijassa-806	358	4	)	)	PUNCT
ijassa-806	358	5	.	.	PUNCT
ijassa-806	359	1	effects	effect	NOUN
ijassa-806	359	2	of	of	ADP
ijassa-806	359	3	distance	distance	NOUN
ijassa-806	359	4	measure	measure	NOUN
ijassa-806	359	5	choice	choice	NOUN
ijassa-806	359	6	on	on	ADP
ijassa-806	359	7	knn	knn	PROPN
ijassa-806	359	8	classifier	classifier	PROPN
ijassa-806	359	9	performance	performance	NOUN
ijassa-806	359	10	–	–	PUNCT
ijassa-806	359	11	a	a	DET
ijassa-806	359	12	review	review	NOUN
ijassa-806	359	13	,	,	PUNCT
ijassa-806	359	14	journal	journal	NOUN
ijassa-806	359	15	of	of	ADP
ijassa-806	359	16	corr	corr	PROPN
ijassa-806	359	17	,	,	PUNCT
ijassa-806	359	18	1–39	1–39	PROPN
ijassa-806	359	19	.	.	PUNCT
ijassa-806	360	1	[	[	X
ijassa-806	360	2	31	31	NUM
ijassa-806	360	3	]	]	X
ijassa-806	360	4	zad	zad	PROPN
ijassa-806	360	5	,	,	PUNCT
ijassa-806	360	6	s.h	s.h	PROPN
ijassa-806	360	7	.	.	PROPN
ijassa-806	360	8	,	,	PUNCT
ijassa-806	360	9	kwonget	kwonget	PROPN
ijassa-806	360	10	,	,	PUNCT
ijassa-806	360	11	r.	r.	PROPN
ijassa-806	360	12	h.	h.	PROPN
ijassa-806	360	13	&	&	CCONJ
ijassa-806	360	14	wonham	wonham	PROPN
ijassa-806	360	15	,	,	PUNCT
ijassa-806	360	16	w.	w.	PROPN
ijassa-806	360	17	m.	m.	PROPN
ijassa-806	360	18	(	(	PUNCT
ijassa-806	360	19	2003	2003	NUM
ijassa-806	360	20	)	)	PUNCT
ijassa-806	360	21	.	.	PUNCT
ijassa-806	361	1	fault	fault	VERB
ijassa-806	361	2	diagnosis	diagnosis	NOUN
ijassa-806	361	3	in	in	ADP
ijassa-806	361	4	discrete	discrete	ADJ
ijassa-806	361	5	-	-	PUNCT
ijassa-806	361	6	event	event	NOUN
ijassa-806	361	7	systems	system	NOUN
ijassa-806	361	8	:	:	PUNCT
ijassa-806	361	9	framework	framework	NOUN
ijassa-806	361	10	and	and	CCONJ
ijassa-806	361	11	model	model	NOUN
ijassa-806	361	12	reduction	reduction	NOUN
ijassa-806	361	13	,	,	PUNCT
ijassa-806	361	14	ieee	ieee	NOUN
ijassa-806	361	15	transaction	transaction	NOUN
ijassa-806	361	16	on	on	ADP
ijassa-806	361	17	automatic	automatic	ADJ
ijassa-806	361	18	control	control	NOUN
ijassa-806	361	19	,	,	PUNCT
ijassa-806	361	20	48(7	48(7	NUM
ijassa-806	361	21	)	)	PUNCT
ijassa-806	361	22	,	,	PUNCT
ijassa-806	361	23	1199–1212	1199–1212	NUM
ijassa-806	361	24	.	.	PUNCT
ijassa-806	362	1	[	[	X
ijassa-806	362	2	32	32	NUM
ijassa-806	362	3	]	]	SYM
ijassa-806	362	4	ziller	ziller	NOUN
ijassa-806	362	5	,	,	PUNCT
ijassa-806	362	6	m.	m.	NOUN
ijassa-806	362	7	(	(	PUNCT
ijassa-806	362	8	2015	2015	NUM
ijassa-806	362	9	)	)	PUNCT
ijassa-806	362	10	.	.	PUNCT
ijassa-806	363	1	a	a	DET
ijassa-806	363	2	multi	multi	ADJ
ijassa-806	363	3	prototype	prototype	NOUN
ijassa-806	363	4	classification	classification	NOUN
ijassa-806	363	5	algorithm	algorithm	NOUN
ijassa-806	363	6	and	and	CCONJ
ijassa-806	363	7	its	its	PRON
ijassa-806	363	8	application	application	NOUN
ijassa-806	363	9	to	to	ADP
ijassa-806	363	10	multi	multi	VERB
ijassa-806	363	11	class	class	NOUN
ijassa-806	363	12	diagnostics	diagnostic	NOUN
ijassa-806	363	13	.	.	PUNCT
ijassa-806	364	1	[	[	X
ijassa-806	364	2	online	online	X
ijassa-806	364	3	]	]	X
ijassa-806	364	4	available	available	ADJ
ijassa-806	364	5	https://doi.org/10.7287/	https://doi.org/10.7287/	PROPN
ijassa-806	364	6	peerj.preprints.1180v1	peerj.preprints.1180v1	NOUN
ijassa-806	364	7	.	.	PUNCT
ijassa-806	365	1	[	[	X
ijassa-806	365	2	33	33	NUM
ijassa-806	365	3	]	]	X
ijassa-806	365	4	zwigelstein	zwigelstein	PROPN
ijassa-806	365	5	,	,	PUNCT
ijassa-806	365	6	g.	g.	PROPN
ijassa-806	365	7	(	(	PUNCT
ijassa-806	365	8	1995	1995	NUM
ijassa-806	365	9	)	)	PUNCT
ijassa-806	365	10	.	.	PUNCT
ijassa-806	366	1	diagnostic	diagnostic	ADJ
ijassa-806	366	2	des	des	PROPN
ijassa-806	366	3	défaillances	défaillance	NOUN
ijassa-806	366	4	.	.	PUNCT
ijassa-806	367	1	théorie	théorie	PROPN
ijassa-806	367	2	et	et	PROPN
ijassa-806	367	3	pratique	pratique	PROPN
ijassa-806	367	4	des	des	PROPN
ijassa-806	367	5	systèmes	systèmes	PROPN
ijassa-806	367	6	industriels	industriel	VERB
ijassa-806	367	7	[	[	X
ijassa-806	367	8	failures	failure	NOUN
ijassa-806	367	9	diagnosis	diagnosis	NOUN
ijassa-806	367	10	.	.	PUNCT
ijassa-806	368	1	theory	theory	NOUN
ijassa-806	368	2	and	and	CCONJ
ijassa-806	368	3	practice	practice	NOUN
ijassa-806	368	4	for	for	ADP
ijassa-806	368	5	industrial	industrial	ADJ
ijassa-806	368	6	systems	system	NOUN
ijassa-806	368	7	]	]	PUNCT
ijassa-806	368	8	,	,	PUNCT
ijassa-806	368	9	paris	paris	PROPN
ijassa-806	368	10	,	,	PUNCT
ijassa-806	368	11	france	france	PROPN
ijassa-806	368	12	:	:	PUNCT
ijassa-806	368	13	hermès	hermès	PROPN
ijassa-806	368	14	editions	edition	NOUN
ijassa-806	368	15	,	,	PUNCT
ijassa-806	369	1	[	[	X
ijassa-806	369	2	in	in	ADP
ijassa-806	369	3	french	french	NOUN
ijassa-806	369	4	]	]	PUNCT
ijassa-806	369	5	.	.	PUNCT