id	sid	tid	token	lemma	pos
cana-522	1	1	communications	communication	NOUN
cana-522	1	2	on	on	ADP
cana-522	1	3	applied	apply	VERB
cana-522	1	4	nonlinear	nonlinear	ADJ
cana-522	1	5	analysis	analysis	NOUN
cana-522	1	6	issn	issn	NOUN
cana-522	1	7	:	:	PUNCT
cana-522	1	8	1074	1074	NUM
cana-522	1	9	-	-	PUNCT
cana-522	1	10	133x	133x	NUM
cana-522	1	11	vol	vol	NOUN
cana-522	1	12	31	31	NUM
cana-522	1	13	no	no	NOUN
cana-522	1	14	.	.	NOUN
cana-522	1	15	2	2	NUM
cana-522	1	16	(	(	PUNCT
cana-522	1	17	2024	2024	NUM
cana-522	1	18	)	)	PUNCT
cana-522	1	19	96	96	NUM
cana-522	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	1	21	design	design	NOUN
cana-522	1	22	and	and	CCONJ
cana-522	1	23	implementation	implementation	NOUN
cana-522	1	24	of	of	ADP
cana-522	1	25	cost	cost	NOUN
cana-522	1	26	-	-	PUNCT
cana-522	1	27	effective	effective	ADJ
cana-522	1	28	assurance	assurance	NOUN
cana-522	1	29	engineering	engineering	NOUN
cana-522	1	30	using	use	VERB
cana-522	1	31	wake	wake	NOUN
cana-522	1	32	-	-	PUNCT
cana-522	1	33	sleep	sleep	NOUN
cana-522	1	34	algorithm	algorithm	NOUN
cana-522	1	35	-	-	PUNCT
cana-522	1	36	based	base	VERB
cana-522	1	37	wideresnet	wideresnet	PROPN
cana-522	1	38	with	with	ADP
cana-522	1	39	nonlinear	nonlinear	ADJ
cana-522	1	40	analysis	analysis	NOUN
cana-522	1	41	and	and	CCONJ
cana-522	1	42	topology	topology	NOUN
cana-522	1	43	integration	integration	NOUN
cana-522	1	44	1	1	NUM
cana-522	1	45	m	m	NOUN
cana-522	1	46	srinivasan	srinivasan	NOUN
cana-522	1	47	,	,	PUNCT
cana-522	1	48	2b	2b	NUM
cana-522	1	49	aruna	aruna	PROPN
cana-522	1	50	devi	devi	PROPN
cana-522	1	51	,	,	PUNCT
cana-522	1	52	3sumalatha	3sumalatha	PROPN
cana-522	1	53	a	a	PRON
cana-522	1	54	,	,	PUNCT
cana-522	1	55	4geetika	4geetika	NUM
cana-522	1	56	narang	narang	PROPN
cana-522	1	57	,	,	PUNCT
cana-522	1	58	5p.vigneshkumar	5p.vigneshkumar	PROPN
cana-522	1	59	,	,	PUNCT
cana-522	1	60	6i	6i	NUM
cana-522	1	61	.	.	PUNCT
cana-522	2	1	mohana	mohana	PROPN
cana-522	2	2	krishna	krishna	PROPN
cana-522	2	3	1professor	1professor	NUM
cana-522	2	4	,	,	PUNCT
cana-522	2	5	department	department	NOUN
cana-522	2	6	of	of	ADP
cana-522	2	7	it	it	PRON
cana-522	2	8	,	,	PUNCT
cana-522	2	9	p.s.v	p.s.v	PROPN
cana-522	2	10	college	college	NOUN
cana-522	2	11	of	of	ADP
cana-522	2	12	engineering	engineering	NOUN
cana-522	2	13	and	and	CCONJ
cana-522	2	14	technology	technology	NOUN
cana-522	2	15	,	,	PUNCT
cana-522	2	16	krishnagiri	krishnagiri	PROPN
cana-522	2	17	,	,	PUNCT
cana-522	2	18	tamilnadu	tamilnadu	PROPN
cana-522	2	19	,	,	PUNCT
cana-522	2	20	india	india	PROPN
cana-522	2	21	.	.	PUNCT
cana-522	3	1	ithodpsv@gmail.com	ithodpsv@gmail.com	X
cana-522	3	2	2	2	NUM
cana-522	3	3	professor	professor	NOUN
cana-522	3	4	,	,	PUNCT
cana-522	3	5	department	department	NOUN
cana-522	3	6	of	of	ADP
cana-522	3	7	electronics	electronic	NOUN
cana-522	3	8	and	and	CCONJ
cana-522	3	9	communication	communication	NOUN
cana-522	3	10	engineering	engineering	NOUN
cana-522	3	11	,	,	PUNCT
cana-522	3	12	dr	dr	PROPN
cana-522	3	13	ngp	ngp	PROPN
cana-522	3	14	institute	institute	PROPN
cana-522	3	15	of	of	ADP
cana-522	3	16	technology	technology	PROPN
cana-522	3	17	,	,	PUNCT
cana-522	3	18	coimbatore	coimbatore	PROPN
cana-522	3	19	,	,	PUNCT
cana-522	3	20	tamilnadu	tamilnadu	NOUN
cana-522	3	21	,	,	PUNCT
cana-522	3	22	india	india	PROPN
cana-522	3	23	.	.	PUNCT
cana-522	4	1	arunadevi@drngpit.ac.in	arunadevi@drngpit.ac.in	PROPN
cana-522	4	2	3	3	NUM
cana-522	4	3	assistant	assistant	NOUN
cana-522	4	4	professor	professor	NOUN
cana-522	4	5	,	,	PUNCT
cana-522	4	6	computer	computer	NOUN
cana-522	4	7	science	science	NOUN
cana-522	4	8	,	,	PUNCT
cana-522	4	9	kristu	kristu	PROPN
cana-522	4	10	jayanti	jayanti	PROPN
cana-522	4	11	college	college	PROPN
cana-522	4	12	,	,	PUNCT
cana-522	4	13	bengaluru	bengaluru	PROPN
cana-522	4	14	,	,	PUNCT
cana-522	4	15	karnataka	karnataka	PROPN
cana-522	4	16	,	,	PUNCT
cana-522	4	17	india	india	PROPN
cana-522	4	18	.	.	PUNCT
cana-522	5	1	sumanstars123@gmail.com	sumanstars123@gmail.com	PROPN
cana-522	6	1	4	4	NUM
cana-522	6	2	associate	associate	NOUN
cana-522	6	3	professor	professor	NOUN
cana-522	6	4	,	,	PUNCT
cana-522	6	5	trinity	trinity	PROPN
cana-522	6	6	college	college	PROPN
cana-522	6	7	of	of	ADP
cana-522	6	8	engineering	engineering	NOUN
cana-522	6	9	and	and	CCONJ
cana-522	6	10	research	research	NOUN
cana-522	6	11	,	,	PUNCT
cana-522	6	12	pune	pune	NOUN
cana-522	6	13	,	,	PUNCT
cana-522	6	14	maharashtra	maharashtra	PROPN
cana-522	6	15	,	,	PUNCT
cana-522	6	16	india	india	PROPN
cana-522	6	17	.	.	PUNCT
cana-522	6	18	geetikanarang2020@gmail.com	geetikanarang2020@gmail.com	PROPN
cana-522	7	1	5	5	NUM
cana-522	7	2	assistant	assistant	NOUN
cana-522	7	3	professor	professor	NOUN
cana-522	7	4	,	,	PUNCT
cana-522	7	5	department	department	NOUN
cana-522	7	6	of	of	ADP
cana-522	7	7	computer	computer	NOUN
cana-522	7	8	science	science	NOUN
cana-522	7	9	and	and	CCONJ
cana-522	7	10	engineering	engineering	NOUN
cana-522	7	11	,	,	PUNCT
cana-522	7	12	karpagam	karpagam	PROPN
cana-522	7	13	institute	institute	PROPN
cana-522	7	14	of	of	ADP
cana-522	7	15	technology	technology	PROPN
cana-522	7	16	,	,	PUNCT
cana-522	7	17	coimbatore	coimbatore	PROPN
cana-522	7	18	,	,	PUNCT
cana-522	7	19	tamilnadu	tamilnadu	NOUN
cana-522	7	20	,	,	PUNCT
cana-522	7	21	india	india	PROPN
cana-522	7	22	.	.	PUNCT
cana-522	8	1	vigneshkumar.cse@karpagamtech.ac.in	vigneshkumar.cse@karpagamtech.ac.in	NOUN
cana-522	8	2	6	6	NUM
cana-522	8	3	business	business	NOUN
cana-522	8	4	school	school	NOUN
cana-522	8	5	,	,	PUNCT
cana-522	8	6	koneru	koneru	PROPN
cana-522	8	7	lakshmaiah	lakshmaiah	PROPN
cana-522	8	8	education	education	PROPN
cana-522	8	9	foundation	foundation	PROPN
cana-522	8	10	,	,	PUNCT
cana-522	8	11	green	green	ADJ
cana-522	8	12	fields	field	NOUN
cana-522	8	13	,	,	PUNCT
cana-522	8	14	vaddeswaram	vaddeswaram	NOUN
cana-522	8	15	,	,	PUNCT
cana-522	8	16	guntur	guntur	PROPN
cana-522	8	17	,	,	PUNCT
cana-522	8	18	andhra	andhra	PROPN
cana-522	8	19	pradesh	pradesh	PROPN
cana-522	8	20	,	,	PUNCT
cana-522	8	21	india	india	PROPN
cana-522	8	22	.	.	PUNCT
cana-522	9	1	irrinki_mk@yahoo.com	irrinki_mk@yahoo.com	PROPN
cana-522	9	2	article	article	PROPN
cana-522	9	3	history	history	NOUN
cana-522	9	4	:	:	PUNCT
cana-522	9	5	received	receive	VERB
cana-522	9	6	:	:	PUNCT
cana-522	9	7	24	24	NUM
cana-522	9	8	-	-	PUNCT
cana-522	9	9	01	01	NUM
cana-522	9	10	-	-	PUNCT
cana-522	9	11	2024	2024	NUM
cana-522	9	12	revised	revise	VERB
cana-522	9	13	:	:	PUNCT
cana-522	9	14	04	04	NUM
cana-522	9	15	-	-	PUNCT
cana-522	9	16	04	04	NUM
cana-522	9	17	-	-	PUNCT
cana-522	9	18	2024	2024	NUM
cana-522	9	19	accepted	accept	VERB
cana-522	9	20	:	:	PUNCT
cana-522	9	21	24	24	NUM
cana-522	9	22	-	-	PUNCT
cana-522	9	23	04	04	NUM
cana-522	9	24	-	-	PUNCT
cana-522	9	25	2024	2024	NUM
cana-522	9	26	abstract	abstract	NOUN
cana-522	9	27	:	:	PUNCT
cana-522	9	28	the	the	DET
cana-522	9	29	proliferation	proliferation	NOUN
cana-522	9	30	of	of	ADP
cana-522	9	31	artificial	artificial	ADJ
cana-522	9	32	intelligence	intelligence	NOUN
cana-522	9	33	(	(	PUNCT
cana-522	9	34	ai	ai	NOUN
cana-522	9	35	)	)	PUNCT
cana-522	9	36	in	in	ADP
cana-522	9	37	recent	recent	ADJ
cana-522	9	38	years	year	NOUN
cana-522	9	39	has	have	AUX
cana-522	9	40	resulted	result	VERB
cana-522	9	41	in	in	ADP
cana-522	9	42	an	an	DET
cana-522	9	43	increase	increase	NOUN
cana-522	9	44	in	in	ADP
cana-522	9	45	the	the	DET
cana-522	9	46	ai	ai	NOUN
cana-522	9	47	-	-	PUNCT
cana-522	9	48	driven	drive	VERB
cana-522	9	49	applications	application	NOUN
cana-522	9	50	across	across	ADP
cana-522	9	51	diverse	diverse	ADJ
cana-522	9	52	fields	field	NOUN
cana-522	9	53	.	.	PUNCT
cana-522	10	1	the	the	DET
cana-522	10	2	assurance	assurance	NOUN
cana-522	10	3	of	of	ADP
cana-522	10	4	the	the	DET
cana-522	10	5	credibility	credibility	NOUN
cana-522	10	6	of	of	ADP
cana-522	10	7	these	these	DET
cana-522	10	8	ai	ai	PROPN
cana-522	10	9	systems	system	NOUN
cana-522	10	10	has	have	AUX
cana-522	10	11	emerged	emerge	VERB
cana-522	10	12	as	as	ADP
cana-522	10	13	a	a	DET
cana-522	10	14	crucial	crucial	ADJ
cana-522	10	15	worry	worry	NOUN
cana-522	10	16	.	.	PUNCT
cana-522	11	1	this	this	DET
cana-522	11	2	paper	paper	NOUN
cana-522	11	3	introduces	introduce	VERB
cana-522	11	4	a	a	DET
cana-522	11	5	new	new	ADJ
cana-522	11	6	model	model	NOUN
cana-522	11	7	for	for	ADP
cana-522	11	8	achieving	achieve	VERB
cana-522	11	9	cost	cost	NOUN
cana-522	11	10	-	-	PUNCT
cana-522	11	11	effective	effective	ADJ
cana-522	11	12	assurance	assurance	NOUN
cana-522	11	13	engineering	engineering	NOUN
cana-522	11	14	by	by	ADP
cana-522	11	15	employing	employ	VERB
cana-522	11	16	the	the	DET
cana-522	11	17	wake	wake	NOUN
cana-522	11	18	-	-	PUNCT
cana-522	11	19	sleep	sleep	NOUN
cana-522	11	20	algorithm	algorithm	NOUN
cana-522	11	21	with	with	ADP
cana-522	11	22	the	the	DET
cana-522	11	23	wideresnet	wideresnet	NOUN
cana-522	11	24	architecture	architecture	NOUN
cana-522	11	25	.	.	PUNCT
cana-522	12	1	the	the	DET
cana-522	12	2	wake	wake	NOUN
cana-522	12	3	-	-	PUNCT
cana-522	12	4	sleep	sleep	NOUN
cana-522	12	5	method	method	NOUN
cana-522	12	6	is	be	AUX
cana-522	12	7	utilized	utilize	VERB
cana-522	12	8	in	in	ADP
cana-522	12	9	unsupervised	unsupervised	ADJ
cana-522	12	10	learning	learning	NOUN
cana-522	12	11	.	.	PUNCT
cana-522	13	1	this	this	DET
cana-522	13	2	methodology	methodology	NOUN
cana-522	13	3	improves	improve	VERB
cana-522	13	4	the	the	DET
cana-522	13	5	comprehensibility	comprehensibility	NOUN
cana-522	13	6	of	of	ADP
cana-522	13	7	ai	ai	NOUN
cana-522	13	8	but	but	CCONJ
cana-522	13	9	also	also	ADV
cana-522	13	10	establishes	establish	VERB
cana-522	13	11	a	a	DET
cana-522	13	12	basis	basis	NOUN
cana-522	13	13	for	for	ADP
cana-522	13	14	cost	cost	NOUN
cana-522	13	15	-	-	PUNCT
cana-522	13	16	efficient	efficient	ADJ
cana-522	13	17	assurance	assurance	NOUN
cana-522	13	18	engineering	engineering	NOUN
cana-522	13	19	.	.	PUNCT
cana-522	14	1	the	the	DET
cana-522	14	2	wake	wake	NOUN
cana-522	14	3	-	-	PUNCT
cana-522	14	4	sleep	sleep	NOUN
cana-522	14	5	algorithm	algorithm	NOUN
cana-522	14	6	has	have	VERB
cana-522	14	7	two	two	NUM
cana-522	14	8	distinct	distinct	ADJ
cana-522	14	9	phases	phase	NOUN
cana-522	14	10	:	:	PUNCT
cana-522	14	11	the	the	DET
cana-522	14	12	wake	wake	NOUN
cana-522	14	13	phase	phase	NOUN
cana-522	14	14	,	,	PUNCT
cana-522	14	15	which	which	PRON
cana-522	14	16	entails	entail	VERB
cana-522	14	17	the	the	DET
cana-522	14	18	generative	generative	ADJ
cana-522	14	19	model	model	NOUN
cana-522	14	20	using	use	VERB
cana-522	14	21	actual	actual	ADJ
cana-522	14	22	data	datum	NOUN
cana-522	14	23	,	,	PUNCT
cana-522	14	24	and	and	CCONJ
cana-522	14	25	the	the	DET
cana-522	14	26	sleep	sleep	NOUN
cana-522	14	27	phase	phase	NOUN
cana-522	14	28	,	,	PUNCT
cana-522	14	29	which	which	DET
cana-522	14	30	enhancement	enhancement	NOUN
cana-522	14	31	of	of	ADP
cana-522	14	32	the	the	DET
cana-522	14	33	encoder	encoder	NOUN
cana-522	14	34	through	through	ADP
cana-522	14	35	the	the	DET
cana-522	14	36	generated	generate	VERB
cana-522	14	37	data	datum	NOUN
cana-522	14	38	utilization	utilization	NOUN
cana-522	14	39	.	.	PUNCT
cana-522	15	1	the	the	DET
cana-522	15	2	framework	framework	NOUN
cana-522	15	3	is	be	AUX
cana-522	15	4	the	the	DET
cana-522	15	5	wideresnet	wideresnet	PROPN
cana-522	15	6	neural	neural	PROPN
cana-522	15	7	network	network	PROPN
cana-522	15	8	design	design	NOUN
cana-522	15	9	,	,	PUNCT
cana-522	15	10	which	which	PRON
cana-522	15	11	is	be	AUX
cana-522	15	12	widely	widely	ADV
cana-522	15	13	recognized	recognize	VERB
cana-522	15	14	for	for	ADP
cana-522	15	15	its	its	PRON
cana-522	15	16	effectiveness	effectiveness	NOUN
cana-522	15	17	.	.	PUNCT
cana-522	16	1	the	the	DET
cana-522	16	2	characteristics	characteristic	NOUN
cana-522	16	3	offer	offer	VERB
cana-522	16	4	an	an	DET
cana-522	16	5	equilibrium	equilibrium	NOUN
cana-522	16	6	between	between	ADP
cana-522	16	7	computational	computational	ADJ
cana-522	16	8	resources	resource	NOUN
cana-522	16	9	and	and	CCONJ
cana-522	16	10	model	model	NOUN
cana-522	16	11	performance	performance	NOUN
cana-522	16	12	,	,	PUNCT
cana-522	16	13	making	make	VERB
cana-522	16	14	it	it	PRON
cana-522	16	15	a	a	DET
cana-522	16	16	viable	viable	ADJ
cana-522	16	17	choice	choice	NOUN
cana-522	16	18	for	for	ADP
cana-522	16	19	costeffective	costeffective	ADJ
cana-522	16	20	solution	solution	NOUN
cana-522	16	21	.	.	PUNCT
cana-522	17	1	keywords	keyword	NOUN
cana-522	17	2	:	:	PUNCT
cana-522	17	3	ai	ai	VERB
cana-522	17	4	assurance	assurance	NOUN
cana-522	17	5	,	,	PUNCT
cana-522	17	6	wideresnet	wideresnet	NOUN
cana-522	17	7	,	,	PUNCT
cana-522	17	8	wake	wake	NOUN
cana-522	17	9	-	-	PUNCT
cana-522	17	10	sleep	sleep	NOUN
cana-522	17	11	algorithm	algorithm	NOUN
cana-522	17	12	,	,	PUNCT
cana-522	17	13	machine	machine	NOUN
cana-522	17	14	learning	learn	VERB
cana-522	17	15	1	1	NUM
cana-522	17	16	.	.	PUNCT
cana-522	18	1	introduction	introduction	NOUN
cana-522	18	2	in	in	ADP
cana-522	18	3	modern	modern	ADJ
cana-522	18	4	era	era	NOUN
cana-522	18	5	,	,	PUNCT
cana-522	18	6	there	there	PRON
cana-522	18	7	has	have	AUX
cana-522	18	8	been	be	AUX
cana-522	18	9	an	an	DET
cana-522	18	10	expeditious	expeditious	ADJ
cana-522	18	11	proliferation	proliferation	NOUN
cana-522	18	12	of	of	ADP
cana-522	18	13	artificial	artificial	ADJ
cana-522	18	14	intelligence	intelligence	NOUN
cana-522	18	15	(	(	PUNCT
cana-522	18	16	ai	ai	NOUN
cana-522	18	17	)	)	PUNCT
cana-522	18	18	technology	technology	NOUN
cana-522	18	19	,	,	PUNCT
cana-522	18	20	leading	lead	VERB
cana-522	18	21	to	to	ADP
cana-522	18	22	a	a	DET
cana-522	18	23	substantial	substantial	ADJ
cana-522	18	24	industrial	industrial	ADJ
cana-522	18	25	development	development	NOUN
cana-522	18	26	[	[	X
cana-522	18	27	1	1	NUM
cana-522	18	28	]	]	PUNCT
cana-522	18	29	.	.	PUNCT
cana-522	19	1	the	the	DET
cana-522	19	2	transition	transition	NOUN
cana-522	19	3	has	have	AUX
cana-522	19	4	resulted	result	VERB
cana-522	19	5	in	in	ADP
cana-522	19	6	a	a	DET
cana-522	19	7	significant	significant	ADJ
cana-522	19	8	modification	modification	NOUN
cana-522	19	9	for	for	ADP
cana-522	19	10	reaching	reach	VERB
cana-522	19	11	conclusions	conclusion	NOUN
cana-522	19	12	and	and	CCONJ
cana-522	19	13	tackling	tackle	VERB
cana-522	19	14	complex	complex	ADJ
cana-522	19	15	issues	issue	NOUN
cana-522	19	16	[	[	X
cana-522	19	17	2	2	NUM
cana-522	19	18	]	]	PUNCT
cana-522	19	19	.	.	PUNCT
cana-522	20	1	the	the	DET
cana-522	20	2	proliferation	proliferation	NOUN
cana-522	20	3	of	of	ADP
cana-522	20	4	ai	ai	PROPN
cana-522	20	5	systems	system	NOUN
cana-522	20	6	including	include	VERB
cana-522	20	7	finance	finance	NOUN
cana-522	20	8	,	,	PUNCT
cana-522	20	9	healthcare	healthcare	PROPN
cana-522	20	10	,	,	PUNCT
cana-522	20	11	and	and	CCONJ
cana-522	20	12	autonomous	autonomous	ADJ
cana-522	20	13	vehicles	vehicle	NOUN
cana-522	20	14	,	,	PUNCT
cana-522	20	15	can	can	AUX
cana-522	20	16	be	be	AUX
cana-522	20	17	attributed	attribute	VERB
cana-522	20	18	to	to	ADP
cana-522	20	19	advancements	advancement	NOUN
cana-522	20	20	in	in	ADP
cana-522	20	21	technology	technology	NOUN
cana-522	20	22	.	.	PUNCT
cana-522	21	1	while	while	SCONJ
cana-522	21	2	artificial	artificial	ADJ
cana-522	21	3	intelligence	intelligence	NOUN
cana-522	21	4	(	(	PUNCT
cana-522	21	5	ai	ai	NOUN
cana-522	21	6	)	)	PUNCT
cana-522	21	7	offers	offer	VERB
cana-522	21	8	potential	potential	ADJ
cana-522	21	9	concerning	concern	VERB
cana-522	21	10	regarding	regard	VERB
cana-522	21	11	its	its	PRON
cana-522	21	12	dependability	dependability	NOUN
cana-522	21	13	,	,	PUNCT
cana-522	21	14	credibility	credibility	NOUN
cana-522	21	15	,	,	PUNCT
cana-522	21	16	and	and	CCONJ
cana-522	21	17	resilience	resilience	NOUN
cana-522	21	18	[	[	X
cana-522	21	19	3	3	NUM
cana-522	21	20	]	]	PUNCT
cana-522	21	21	.	.	PUNCT
cana-522	22	1	the	the	DET
cana-522	22	2	implementation	implementation	NOUN
cana-522	22	3	of	of	ADP
cana-522	22	4	ai	ai	PROPN
cana-522	22	5	systems	system	NOUN
cana-522	22	6	in	in	ADP
cana-522	22	7	crucial	crucial	ADJ
cana-522	22	8	applications	application	NOUN
cana-522	22	9	necessitates	necessitate	VERB
cana-522	22	10	a	a	DET
cana-522	22	11	comprehensive	comprehensive	ADJ
cana-522	22	12	evaluation	evaluation	NOUN
cana-522	22	13	of	of	ADP
cana-522	22	14	their	their	PRON
cana-522	22	15	reliability	reliability	NOUN
cana-522	22	16	,	,	PUNCT
cana-522	22	17	efficiency	efficiency	NOUN
cana-522	22	18	,	,	PUNCT
cana-522	22	19	and	and	CCONJ
cana-522	22	20	compliance	compliance	NOUN
cana-522	22	21	with	with	ADP
cana-522	22	22	safety	safety	NOUN
cana-522	22	23	protocols	protocol	NOUN
cana-522	22	24	[	[	X
cana-522	22	25	4	4	NUM
cana-522	22	26	]	]	PUNCT
cana-522	22	27	.	.	PUNCT
cana-522	23	1	the	the	DET
cana-522	23	2	field	field	NOUN
cana-522	23	3	of	of	ADP
cana-522	23	4	assurance	assurance	NOUN
cana-522	23	5	engineering	engineering	NOUN
cana-522	23	6	,	,	PUNCT
cana-522	23	7	which	which	PRON
cana-522	23	8	pertains	pertain	VERB
cana-522	23	9	to	to	ADP
cana-522	23	10	the	the	DET
cana-522	23	11	assessment	assessment	NOUN
cana-522	23	12	and	and	CCONJ
cana-522	23	13	guaranteeing	guaranteeing	NOUN
cana-522	23	14	of	of	ADP
cana-522	23	15	the	the	DET
cana-522	23	16	quality	quality	NOUN
cana-522	23	17	and	and	CCONJ
cana-522	23	18	communications	communication	NOUN
cana-522	23	19	on	on	ADP
cana-522	23	20	applied	apply	VERB
cana-522	23	21	nonlinear	nonlinear	ADJ
cana-522	23	22	analysis	analysis	NOUN
cana-522	23	23	issn	issn	NOUN
cana-522	23	24	:	:	PUNCT
cana-522	23	25	1074	1074	NUM
cana-522	23	26	-	-	PUNCT
cana-522	23	27	133x	133x	NUM
cana-522	23	28	vol	vol	NOUN
cana-522	23	29	31	31	NUM
cana-522	23	30	no	no	NOUN
cana-522	23	31	.	.	NOUN
cana-522	23	32	2	2	NUM
cana-522	23	33	(	(	PUNCT
cana-522	23	34	2024	2024	NUM
cana-522	23	35	)	)	PUNCT
cana-522	23	36	97	97	NUM
cana-522	23	37	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-522	23	38	dependability	dependability	NOUN
cana-522	23	39	of	of	ADP
cana-522	23	40	systems	system	NOUN
cana-522	23	41	,	,	PUNCT
cana-522	23	42	has	have	AUX
cana-522	23	43	become	become	VERB
cana-522	23	44	an	an	DET
cana-522	23	45	essential	essential	ADJ
cana-522	23	46	component	component	NOUN
cana-522	23	47	within	within	ADP
cana-522	23	48	the	the	DET
cana-522	23	49	realm	realm	NOUN
cana-522	23	50	of	of	ADP
cana-522	23	51	ai	ai	NOUN
cana-522	23	52	[	[	X
cana-522	23	53	5	5	NUM
cana-522	23	54	]	]	PUNCT
cana-522	23	55	.	.	PUNCT
cana-522	24	1	the	the	DET
cana-522	24	2	application	application	NOUN
cana-522	24	3	of	of	ADP
cana-522	24	4	traditional	traditional	ADJ
cana-522	24	5	engineering	engineering	NOUN
cana-522	24	6	approaches	approach	NOUN
cana-522	24	7	to	to	PART
cana-522	24	8	ai	ai	VERB
cana-522	24	9	is	be	AUX
cana-522	24	10	typically	typically	ADV
cana-522	24	11	inadequate	inadequate	ADJ
cana-522	24	12	due	due	ADP
cana-522	24	13	to	to	ADP
cana-522	24	14	the	the	DET
cana-522	24	15	dynamic	dynamic	ADJ
cana-522	24	16	and	and	CCONJ
cana-522	24	17	data	data	NOUN
cana-522	24	18	-	-	PUNCT
cana-522	24	19	driven	drive	VERB
cana-522	24	20	characteristics	characteristic	NOUN
cana-522	24	21	of	of	ADP
cana-522	24	22	ai	ai	PROPN
cana-522	24	23	systems	system	NOUN
cana-522	24	24	.	.	PUNCT
cana-522	25	1	therefore	therefore	ADV
cana-522	25	2	,	,	PUNCT
cana-522	25	3	it	it	PRON
cana-522	25	4	is	be	AUX
cana-522	25	5	imperative	imperative	ADJ
cana-522	25	6	to	to	PART
cana-522	25	7	develop	develop	VERB
cana-522	25	8	innovative	innovative	ADJ
cana-522	25	9	methodologies	methodology	NOUN
cana-522	25	10	in	in	ADP
cana-522	25	11	order	order	NOUN
cana-522	25	12	to	to	PART
cana-522	25	13	ensure	ensure	VERB
cana-522	25	14	that	that	SCONJ
cana-522	25	15	ai	ai	VERB
cana-522	25	16	systems	system	NOUN
cana-522	25	17	are	be	AUX
cana-522	25	18	capable	capable	ADJ
cana-522	25	19	of	of	ADP
cana-522	25	20	meeting	meet	VERB
cana-522	25	21	the	the	DET
cana-522	25	22	stringent	stringent	ADJ
cana-522	25	23	requirements	requirement	NOUN
cana-522	25	24	of	of	ADP
cana-522	25	25	practical	practical	ADJ
cana-522	25	26	,	,	PUNCT
cana-522	25	27	real	real	ADJ
cana-522	25	28	-	-	PUNCT
cana-522	25	29	world	world	NOUN
cana-522	25	30	scenarios	scenario	NOUN
cana-522	25	31	[	[	X
cana-522	25	32	6	6	NUM
cana-522	25	33	]	]	PUNCT
cana-522	25	34	.	.	PUNCT
cana-522	26	1	the	the	DET
cana-522	26	2	incorporation	incorporation	NOUN
cana-522	26	3	of	of	ADP
cana-522	26	4	ai	ai	PROPN
cana-522	26	5	systems	system	NOUN
cana-522	26	6	into	into	ADP
cana-522	26	7	domains	domain	NOUN
cana-522	26	8	that	that	PRON
cana-522	26	9	involve	involve	VERB
cana-522	26	10	safety	safety	NOUN
cana-522	26	11	-	-	PUNCT
cana-522	26	12	critical	critical	ADJ
cana-522	26	13	and	and	CCONJ
cana-522	26	14	high	high	ADJ
cana-522	26	15	-	-	PUNCT
cana-522	26	16	stakes	stake	NOUN
cana-522	26	17	situations	situation	NOUN
cana-522	26	18	presents	present	VERB
cana-522	26	19	a	a	DET
cana-522	26	20	range	range	NOUN
cana-522	26	21	of	of	ADP
cana-522	26	22	distinct	distinct	ADJ
cana-522	26	23	problems	problem	NOUN
cana-522	26	24	.	.	PUNCT
cana-522	27	1	these	these	DET
cana-522	27	2	pertain	pertain	NOUN
cana-522	27	3	to	to	ADP
cana-522	27	4	concerns	concern	NOUN
cana-522	27	5	over	over	ADP
cana-522	27	6	the	the	DET
cana-522	27	7	quality	quality	NOUN
cana-522	27	8	of	of	ADP
cana-522	27	9	data	datum	NOUN
cana-522	27	10	,	,	PUNCT
cana-522	27	11	the	the	DET
cana-522	27	12	interpretability	interpretability	NOUN
cana-522	27	13	of	of	ADP
cana-522	27	14	models	model	NOUN
cana-522	27	15	,	,	PUNCT
cana-522	27	16	the	the	DET
cana-522	27	17	occurrence	occurrence	NOUN
cana-522	27	18	of	of	ADP
cana-522	27	19	adversarial	adversarial	ADJ
cana-522	27	20	assaults	assault	NOUN
cana-522	27	21	,	,	PUNCT
cana-522	27	22	and	and	CCONJ
cana-522	27	23	the	the	DET
cana-522	27	24	necessity	necessity	NOUN
cana-522	27	25	of	of	ADP
cana-522	27	26	ongoing	ongoing	ADJ
cana-522	27	27	validation	validation	NOUN
cana-522	27	28	and	and	CCONJ
cana-522	27	29	verification	verification	NOUN
cana-522	27	30	.	.	PUNCT
cana-522	28	1	in	in	ADP
cana-522	28	2	addition	addition	NOUN
cana-522	28	3	,	,	PUNCT
cana-522	28	4	the	the	DET
cana-522	28	5	economically	economically	ADV
cana-522	28	6	demanding	demanding	ADJ
cana-522	28	7	nature	nature	NOUN
cana-522	28	8	of	of	ADP
cana-522	28	9	training	training	NOUN
cana-522	28	10	and	and	CCONJ
cana-522	28	11	deploying	deploy	VERB
cana-522	28	12	ai	ai	NOUN
cana-522	28	13	models	model	NOUN
cana-522	28	14	presents	present	VERB
cana-522	28	15	a	a	DET
cana-522	28	16	need	need	NOUN
cana-522	28	17	for	for	ADP
cana-522	28	18	cost	cost	NOUN
cana-522	28	19	-	-	PUNCT
cana-522	28	20	effective	effective	ADJ
cana-522	28	21	solutions	solution	NOUN
cana-522	28	22	[	[	X
cana-522	28	23	7	7	NUM
cana-522	28	24	]	]	PUNCT
cana-522	28	25	.	.	PUNCT
cana-522	29	1	given	give	VERB
cana-522	29	2	these	these	DET
cana-522	29	3	challenges	challenge	NOUN
cana-522	29	4	,	,	PUNCT
cana-522	29	5	the	the	DET
cana-522	29	6	primary	primary	ADJ
cana-522	29	7	objective	objective	NOUN
cana-522	29	8	of	of	ADP
cana-522	29	9	this	this	DET
cana-522	29	10	study	study	NOUN
cana-522	29	11	is	be	AUX
cana-522	29	12	to	to	PART
cana-522	29	13	tackle	tackle	VERB
cana-522	29	14	the	the	DET
cana-522	29	15	urgent	urgent	ADJ
cana-522	29	16	issue	issue	NOUN
cana-522	29	17	of	of	ADP
cana-522	29	18	costeffective	costeffective	ADJ
cana-522	29	19	assurance	assurance	NOUN
cana-522	29	20	engineering	engineering	NOUN
cana-522	29	21	for	for	ADP
cana-522	29	22	artificial	artificial	ADJ
cana-522	29	23	intelligence	intelligence	NOUN
cana-522	29	24	(	(	PUNCT
cana-522	29	25	ai	ai	NOUN
cana-522	29	26	)	)	PUNCT
cana-522	29	27	systems	system	NOUN
cana-522	29	28	.	.	PUNCT
cana-522	30	1	our	our	PRON
cana-522	30	2	primary	primary	ADJ
cana-522	30	3	objective	objective	NOUN
cana-522	30	4	is	be	AUX
cana-522	30	5	to	to	PART
cana-522	30	6	develop	develop	VERB
cana-522	30	7	a	a	DET
cana-522	30	8	methodology	methodology	NOUN
cana-522	30	9	that	that	PRON
cana-522	30	10	improves	improve	VERB
cana-522	30	11	the	the	DET
cana-522	30	12	dependability	dependability	NOUN
cana-522	30	13	and	and	CCONJ
cana-522	30	14	credibility	credibility	NOUN
cana-522	30	15	of	of	ADP
cana-522	30	16	artificial	artificial	ADJ
cana-522	30	17	intelligence	intelligence	NOUN
cana-522	30	18	models	model	NOUN
cana-522	30	19	while	while	SCONJ
cana-522	30	20	also	also	ADV
cana-522	30	21	addressing	address	VERB
cana-522	30	22	the	the	DET
cana-522	30	23	financial	financial	ADJ
cana-522	30	24	implications	implication	NOUN
cana-522	30	25	involved	involve	VERB
cana-522	30	26	.	.	PUNCT
cana-522	31	1	the	the	DET
cana-522	31	2	main	main	ADJ
cana-522	31	3	aims	aim	NOUN
cana-522	31	4	of	of	ADP
cana-522	31	5	this	this	DET
cana-522	31	6	study	study	NOUN
cana-522	31	7	are	be	AUX
cana-522	31	8	as	as	SCONJ
cana-522	31	9	follows	follow	VERB
cana-522	31	10	:	:	PUNCT
cana-522	31	11	to	to	PART
cana-522	31	12	formulate	formulate	VERB
cana-522	31	13	an	an	DET
cana-522	31	14	innovative	innovative	ADJ
cana-522	31	15	assurance	assurance	NOUN
cana-522	31	16	engineering	engineering	NOUN
cana-522	31	17	methodology	methodology	NOUN
cana-522	31	18	that	that	PRON
cana-522	31	19	utilizes	utilize	VERB
cana-522	31	20	the	the	DET
cana-522	31	21	wake	wake	VERB
cana-522	31	22	-	-	PUNCT
cana-522	31	23	sleep	sleep	NOUN
cana-522	31	24	algorithm	algorithm	NOUN
cana-522	31	25	in	in	ADP
cana-522	31	26	combination	combination	NOUN
cana-522	31	27	with	with	ADP
cana-522	31	28	the	the	DET
cana-522	31	29	wideresnet	wideresnet	NOUN
cana-522	31	30	architecture	architecture	NOUN
cana-522	31	31	.	.	PUNCT
cana-522	32	1	in	in	ADP
cana-522	32	2	order	order	NOUN
cana-522	32	3	to	to	PART
cana-522	32	4	enhance	enhance	VERB
cana-522	32	5	the	the	DET
cana-522	32	6	efficient	efficient	ADJ
cana-522	32	7	usage	usage	NOUN
cana-522	32	8	of	of	ADP
cana-522	32	9	resources	resource	NOUN
cana-522	32	10	in	in	ADP
cana-522	32	11	the	the	DET
cana-522	32	12	development	development	NOUN
cana-522	32	13	and	and	CCONJ
cana-522	32	14	maintenance	maintenance	NOUN
cana-522	32	15	of	of	ADP
cana-522	32	16	ai	ai	PROPN
cana-522	32	17	models	model	NOUN
cana-522	32	18	,	,	PUNCT
cana-522	32	19	it	it	PRON
cana-522	32	20	is	be	AUX
cana-522	32	21	imperative	imperative	ADJ
cana-522	32	22	to	to	PART
cana-522	32	23	prioritize	prioritize	VERB
cana-522	32	24	cost	cost	NOUN
cana-522	32	25	-	-	PUNCT
cana-522	32	26	effectiveness	effectiveness	NOUN
cana-522	32	27	.	.	PUNCT
cana-522	33	1	2	2	X
cana-522	33	2	.	.	NUM
cana-522	33	3	related	relate	VERB
cana-522	33	4	works	work	VERB
cana-522	33	5	the	the	DET
cana-522	33	6	authors	author	NOUN
cana-522	33	7	[	[	X
cana-522	33	8	8	8	X
cana-522	33	9	]	]	X
cana-522	33	10	propose	propose	VERB
cana-522	33	11	a	a	DET
cana-522	33	12	theoretical	theoretical	ADJ
cana-522	33	13	framework	framework	NOUN
cana-522	33	14	that	that	PRON
cana-522	33	15	outlines	outline	VERB
cana-522	33	16	the	the	DET
cana-522	33	17	efficient	efficient	ADJ
cana-522	33	18	deployment	deployment	NOUN
cana-522	33	19	of	of	ADP
cana-522	33	20	assurance	assurance	NOUN
cana-522	33	21	engineering	engineering	NOUN
cana-522	33	22	within	within	ADP
cana-522	33	23	the	the	DET
cana-522	33	24	domain	domain	NOUN
cana-522	33	25	of	of	ADP
cana-522	33	26	ai	ai	PROPN
cana-522	33	27	systems	system	NOUN
cana-522	33	28	.	.	PUNCT
cana-522	34	1	this	this	DET
cana-522	34	2	study	study	NOUN
cana-522	34	3	introduces	introduce	VERB
cana-522	34	4	novel	novel	ADJ
cana-522	34	5	approaches	approach	NOUN
cana-522	34	6	to	to	PART
cana-522	34	7	improve	improve	VERB
cana-522	34	8	resource	resource	NOUN
cana-522	34	9	consumption	consumption	NOUN
cana-522	34	10	efficiency	efficiency	NOUN
cana-522	34	11	in	in	ADP
cana-522	34	12	both	both	DET
cana-522	34	13	training	training	NOUN
cana-522	34	14	and	and	CCONJ
cana-522	34	15	inference	inference	NOUN
cana-522	34	16	stages	stage	NOUN
cana-522	34	17	.	.	PUNCT
cana-522	35	1	the	the	DET
cana-522	35	2	objective	objective	NOUN
cana-522	35	3	is	be	AUX
cana-522	35	4	to	to	PART
cana-522	35	5	ensure	ensure	VERB
cana-522	35	6	that	that	SCONJ
cana-522	35	7	artificial	artificial	ADJ
cana-522	35	8	intelligence	intelligence	NOUN
cana-522	35	9	models	model	NOUN
cana-522	35	10	meet	meet	VERB
cana-522	35	11	stringent	stringent	ADJ
cana-522	35	12	reliability	reliability	NOUN
cana-522	35	13	criteria	criterion	NOUN
cana-522	35	14	while	while	SCONJ
cana-522	35	15	reducing	reduce	VERB
cana-522	35	16	computational	computational	ADJ
cana-522	35	17	costs	cost	NOUN
cana-522	35	18	.	.	PUNCT
cana-522	36	1	in	in	ADP
cana-522	36	2	[	[	X
cana-522	36	3	9	9	NUM
cana-522	36	4	]	]	PUNCT
cana-522	36	5	,	,	PUNCT
cana-522	36	6	a	a	DET
cana-522	36	7	comprehensive	comprehensive	ADJ
cana-522	36	8	analysis	analysis	NOUN
cana-522	36	9	of	of	ADP
cana-522	36	10	the	the	DET
cana-522	36	11	wake	wake	NOUN
cana-522	36	12	-	-	PUNCT
cana-522	36	13	sleep	sleep	NOUN
cana-522	36	14	algorithm	algorithm	NOUN
cana-522	36	15	is	be	AUX
cana-522	36	16	presented	present	VERB
cana-522	36	17	,	,	PUNCT
cana-522	36	18	providing	provide	VERB
cana-522	36	19	a	a	DET
cana-522	36	20	detailed	detailed	ADJ
cana-522	36	21	understanding	understanding	NOUN
cana-522	36	22	of	of	ADP
cana-522	36	23	its	its	PRON
cana-522	36	24	wide	wide	ADV
cana-522	36	25	-	-	PUNCT
cana-522	36	26	ranging	range	VERB
cana-522	36	27	applications	application	NOUN
cana-522	36	28	within	within	ADP
cana-522	36	29	the	the	DET
cana-522	36	30	domains	domain	NOUN
cana-522	36	31	of	of	ADP
cana-522	36	32	unsupervised	unsupervised	ADJ
cana-522	36	33	learning	learning	NOUN
cana-522	36	34	and	and	CCONJ
cana-522	36	35	generative	generative	ADJ
cana-522	36	36	modeling	modeling	NOUN
cana-522	36	37	.	.	PUNCT
cana-522	37	1	this	this	DET
cana-522	37	2	research	research	NOUN
cana-522	37	3	study	study	NOUN
cana-522	37	4	makes	make	VERB
cana-522	37	5	substantial	substantial	ADJ
cana-522	37	6	contributions	contribution	NOUN
cana-522	37	7	to	to	ADP
cana-522	37	8	the	the	DET
cana-522	37	9	comprehension	comprehension	NOUN
cana-522	37	10	of	of	ADP
cana-522	37	11	the	the	DET
cana-522	37	12	effective	effective	ADJ
cana-522	37	13	utilization	utilization	NOUN
cana-522	37	14	of	of	ADP
cana-522	37	15	the	the	DET
cana-522	37	16	wake	wake	NOUN
cana-522	37	17	-	-	PUNCT
cana-522	37	18	sleep	sleep	NOUN
cana-522	37	19	algorithm	algorithm	NOUN
cana-522	37	20	in	in	ADP
cana-522	37	21	the	the	DET
cana-522	37	22	domain	domain	NOUN
cana-522	37	23	of	of	ADP
cana-522	37	24	ai	ai	PROPN
cana-522	37	25	assurance	assurance	NOUN
cana-522	37	26	engineering	engineering	NOUN
cana-522	37	27	.	.	PUNCT
cana-522	38	1	the	the	DET
cana-522	38	2	study	study	NOUN
cana-522	38	3	conducted	conduct	VERB
cana-522	38	4	in	in	ADP
cana-522	38	5	[	[	X
cana-522	38	6	10	10	NUM
cana-522	38	7	]	]	PUNCT
cana-522	38	8	examines	examine	VERB
cana-522	38	9	the	the	DET
cana-522	38	10	wideresnet	wideresnet	PROPN
cana-522	38	11	architecture	architecture	NOUN
cana-522	38	12	,	,	PUNCT
cana-522	38	13	specifically	specifically	ADV
cana-522	38	14	emphasizing	emphasize	VERB
cana-522	38	15	its	its	PRON
cana-522	38	16	effectiveness	effectiveness	NOUN
cana-522	38	17	in	in	ADP
cana-522	38	18	computer	computer	NOUN
cana-522	38	19	vision	vision	NOUN
cana-522	38	20	domains	domain	NOUN
cana-522	38	21	.	.	PUNCT
cana-522	39	1	the	the	DET
cana-522	39	2	wideresnet	wideresnet	PROPN
cana-522	39	3	architecture	architecture	NOUN
cana-522	39	4	,	,	PUNCT
cana-522	39	5	characterized	characterize	VERB
cana-522	39	6	by	by	ADP
cana-522	39	7	its	its	PRON
cana-522	39	8	wide	wide	ADJ
cana-522	39	9	and	and	CCONJ
cana-522	39	10	shallow	shallow	ADJ
cana-522	39	11	design	design	NOUN
cana-522	39	12	,	,	PUNCT
cana-522	39	13	has	have	AUX
cana-522	39	14	been	be	AUX
cana-522	39	15	demonstrated	demonstrate	VERB
cana-522	39	16	to	to	PART
cana-522	39	17	offer	offer	VERB
cana-522	39	18	a	a	DET
cana-522	39	19	favorable	favorable	ADJ
cana-522	39	20	trade	trade	NOUN
cana-522	39	21	-	-	PUNCT
cana-522	39	22	off	off	NOUN
cana-522	39	23	between	between	ADP
cana-522	39	24	model	model	NOUN
cana-522	39	25	performance	performance	NOUN
cana-522	39	26	and	and	CCONJ
cana-522	39	27	computing	computing	NOUN
cana-522	39	28	resources	resource	NOUN
cana-522	39	29	.	.	PUNCT
cana-522	40	1	the	the	DET
cana-522	40	2	objective	objective	NOUN
cana-522	40	3	to	to	PART
cana-522	40	4	investigate	investigate	VERB
cana-522	40	5	in	in	ADP
cana-522	40	6	[	[	X
cana-522	40	7	11	11	NUM
cana-522	40	8	]	]	PUNCT
cana-522	40	9	and	and	CCONJ
cana-522	40	10	evaluate	evaluate	VERB
cana-522	40	11	deep	deep	ADJ
cana-522	40	12	learning	learning	NOUN
cana-522	40	13	algorithms	algorithm	NOUN
cana-522	40	14	that	that	PRON
cana-522	40	15	have	have	AUX
cana-522	40	16	been	be	AUX
cana-522	40	17	specifically	specifically	ADV
cana-522	40	18	developed	develop	VERB
cana-522	40	19	to	to	PART
cana-522	40	20	enhance	enhance	VERB
cana-522	40	21	the	the	DET
cana-522	40	22	efficiency	efficiency	NOUN
cana-522	40	23	of	of	ADP
cana-522	40	24	resource	resource	NOUN
cana-522	40	25	allocation	allocation	NOUN
cana-522	40	26	in	in	ADP
cana-522	40	27	real	real	ADJ
cana-522	40	28	-	-	PUNCT
cana-522	40	29	world	world	NOUN
cana-522	40	30	situations	situation	NOUN
cana-522	40	31	.	.	PUNCT
cana-522	41	1	this	this	DET
cana-522	41	2	article	article	NOUN
cana-522	41	3	investigates	investigate	VERB
cana-522	41	4	various	various	ADJ
cana-522	41	5	approaches	approach	NOUN
cana-522	41	6	to	to	PART
cana-522	41	7	alleviate	alleviate	VERB
cana-522	41	8	the	the	DET
cana-522	41	9	computational	computational	ADJ
cana-522	41	10	load	load	NOUN
cana-522	41	11	that	that	PRON
cana-522	41	12	arises	arise	VERB
cana-522	41	13	from	from	ADP
cana-522	41	14	the	the	DET
cana-522	41	15	training	training	NOUN
cana-522	41	16	and	and	CCONJ
cana-522	41	17	implementation	implementation	NOUN
cana-522	41	18	of	of	ADP
cana-522	41	19	ai	ai	PROPN
cana-522	41	20	models	model	NOUN
cana-522	41	21	.	.	PUNCT
cana-522	42	1	the	the	DET
cana-522	42	2	paper	paper	NOUN
cana-522	42	3	discussed	discuss	VERB
cana-522	42	4	in	in	ADP
cana-522	42	5	[	[	X
cana-522	42	6	12	12	NUM
cana-522	42	7	]	]	PUNCT
cana-522	42	8	delves	delf	NOUN
cana-522	42	9	into	into	ADP
cana-522	42	10	the	the	DET
cana-522	42	11	significant	significant	ADJ
cana-522	42	12	aspect	aspect	NOUN
cana-522	42	13	of	of	ADP
cana-522	42	14	model	model	NOUN
cana-522	42	15	interpretability	interpretability	NOUN
cana-522	42	16	in	in	ADP
cana-522	42	17	the	the	DET
cana-522	42	18	domain	domain	NOUN
cana-522	42	19	of	of	ADP
cana-522	42	20	ai	ai	PROPN
cana-522	42	21	assurance	assurance	NOUN
cana-522	42	22	engineering	engineering	NOUN
cana-522	42	23	.	.	PUNCT
cana-522	43	1	this	this	DET
cana-522	43	2	study	study	NOUN
cana-522	43	3	investigates	investigate	VERB
cana-522	43	4	various	various	ADJ
cana-522	43	5	techniques	technique	NOUN
cana-522	43	6	that	that	PRON
cana-522	43	7	are	be	AUX
cana-522	43	8	designed	design	VERB
cana-522	43	9	to	to	PART
cana-522	43	10	improve	improve	VERB
cana-522	43	11	the	the	DET
cana-522	43	12	transparency	transparency	NOUN
cana-522	43	13	and	and	CCONJ
cana-522	43	14	comprehensibility	comprehensibility	NOUN
cana-522	43	15	of	of	ADP
cana-522	43	16	ai	ai	PROPN
cana-522	43	17	models	model	NOUN
cana-522	43	18	.	.	PUNCT
cana-522	44	1	communications	communication	NOUN
cana-522	44	2	on	on	ADP
cana-522	44	3	applied	apply	VERB
cana-522	44	4	nonlinear	nonlinear	ADJ
cana-522	44	5	analysis	analysis	NOUN
cana-522	44	6	issn	issn	NOUN
cana-522	44	7	:	:	PUNCT
cana-522	44	8	1074	1074	NUM
cana-522	44	9	-	-	PUNCT
cana-522	44	10	133x	133x	NUM
cana-522	44	11	vol	vol	NOUN
cana-522	44	12	31	31	NUM
cana-522	44	13	no	no	NOUN
cana-522	44	14	.	.	NOUN
cana-522	44	15	2	2	NUM
cana-522	44	16	(	(	PUNCT
cana-522	44	17	2024	2024	NUM
cana-522	44	18	)	)	PUNCT
cana-522	44	19	98	98	NUM
cana-522	44	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	44	21	in	in	ADP
cana-522	44	22	[	[	X
cana-522	44	23	13	13	NUM
cana-522	44	24	]	]	PUNCT
cana-522	44	25	collectively	collectively	ADV
cana-522	44	26	contribute	contribute	VERB
cana-522	44	27	to	to	ADP
cana-522	44	28	the	the	DET
cana-522	44	29	advancement	advancement	NOUN
cana-522	44	30	of	of	ADP
cana-522	44	31	cost	cost	NOUN
cana-522	44	32	-	-	PUNCT
cana-522	44	33	effective	effective	ADJ
cana-522	44	34	assurance	assurance	NOUN
cana-522	44	35	engineering	engineering	NOUN
cana-522	44	36	methodologies	methodology	NOUN
cana-522	44	37	for	for	ADP
cana-522	44	38	artificial	artificial	ADJ
cana-522	44	39	intelligence	intelligence	NOUN
cana-522	44	40	(	(	PUNCT
cana-522	44	41	ai	ai	NOUN
cana-522	44	42	)	)	PUNCT
cana-522	44	43	systems	system	NOUN
cana-522	44	44	.	.	PUNCT
cana-522	45	1	the	the	DET
cana-522	45	2	topics	topic	NOUN
cana-522	45	3	covered	cover	VERB
cana-522	45	4	encompass	encompass	VERB
cana-522	45	5	a	a	DET
cana-522	45	6	wide	wide	ADJ
cana-522	45	7	spectrum	spectrum	NOUN
cana-522	45	8	,	,	PUNCT
cana-522	45	9	which	which	PRON
cana-522	45	10	includes	include	VERB
cana-522	45	11	breakthroughs	breakthrough	NOUN
cana-522	45	12	in	in	ADP
cana-522	45	13	algorithms	algorithm	NOUN
cana-522	45	14	,	,	PUNCT
cana-522	45	15	designs	design	NOUN
cana-522	45	16	of	of	ADP
cana-522	45	17	models	model	NOUN
cana-522	45	18	,	,	PUNCT
cana-522	45	19	optimization	optimization	NOUN
cana-522	45	20	of	of	ADP
cana-522	45	21	resources	resource	NOUN
cana-522	45	22	,	,	PUNCT
cana-522	45	23	and	and	CCONJ
cana-522	45	24	strategies	strategy	NOUN
cana-522	45	25	for	for	ADP
cana-522	45	26	interpretability	interpretability	NOUN
cana-522	45	27	.	.	PUNCT
cana-522	46	1	these	these	DET
cana-522	46	2	topics	topic	NOUN
cana-522	46	3	are	be	AUX
cana-522	46	4	crucial	crucial	ADJ
cana-522	46	5	elements	element	NOUN
cana-522	46	6	in	in	ADP
cana-522	46	7	guaranteeing	guarantee	VERB
cana-522	46	8	the	the	DET
cana-522	46	9	dependability	dependability	NOUN
cana-522	46	10	and	and	CCONJ
cana-522	46	11	credibility	credibility	NOUN
cana-522	46	12	of	of	ADP
cana-522	46	13	artificial	artificial	ADJ
cana-522	46	14	intelligence	intelligence	NOUN
cana-522	46	15	systems	system	NOUN
cana-522	46	16	across	across	ADP
cana-522	46	17	many	many	ADJ
cana-522	46	18	applications	application	NOUN
cana-522	46	19	.	.	PUNCT
cana-522	47	1	3	3	X
cana-522	47	2	.	.	NUM
cana-522	47	3	proposed	propose	VERB
cana-522	47	4	method	method	NOUN
cana-522	47	5	to	to	PART
cana-522	47	6	solve	solve	VERB
cana-522	47	7	the	the	DET
cana-522	47	8	problems	problem	NOUN
cana-522	47	9	that	that	PRON
cana-522	47	10	come	come	VERB
cana-522	47	11	up	up	ADP
cana-522	47	12	in	in	ADP
cana-522	47	13	the	the	DET
cana-522	47	14	field	field	NOUN
cana-522	47	15	of	of	ADP
cana-522	47	16	ai	ai	PROPN
cana-522	47	17	assurance	assurance	NOUN
cana-522	47	18	engineering	engineering	NOUN
cana-522	47	19	,	,	PUNCT
cana-522	47	20	this	this	DET
cana-522	47	21	study	study	NOUN
cana-522	47	22	comes	come	VERB
cana-522	47	23	up	up	ADP
cana-522	47	24	with	with	ADP
cana-522	47	25	a	a	DET
cana-522	47	26	new	new	ADJ
cana-522	47	27	way	way	NOUN
cana-522	47	28	to	to	PART
cana-522	47	29	do	do	VERB
cana-522	47	30	things	thing	NOUN
cana-522	47	31	that	that	PRON
cana-522	47	32	combines	combine	VERB
cana-522	47	33	two	two	NUM
cana-522	47	34	important	important	ADJ
cana-522	47	35	ideas	idea	NOUN
cana-522	47	36	:	:	PUNCT
cana-522	47	37	the	the	DET
cana-522	47	38	wake	wake	VERB
cana-522	47	39	-	-	PUNCT
cana-522	47	40	sleep	sleep	NOUN
cana-522	47	41	algorithm	algorithm	NOUN
cana-522	47	42	and	and	CCONJ
cana-522	47	43	the	the	DET
cana-522	47	44	wideresnet	wideresnet	NOUN
cana-522	47	45	architecture	architecture	NOUN
cana-522	47	46	.	.	PUNCT
cana-522	48	1	the	the	DET
cana-522	48	2	wake	wake	NOUN
cana-522	48	3	-	-	PUNCT
cana-522	48	4	sleep	sleep	NOUN
cana-522	48	5	algorithm	algorithm	NOUN
cana-522	48	6	is	be	AUX
cana-522	48	7	a	a	DET
cana-522	48	8	method	method	NOUN
cana-522	48	9	of	of	ADP
cana-522	48	10	unsupervised	unsupervised	ADJ
cana-522	48	11	learning	learning	NOUN
cana-522	48	12	that	that	PRON
cana-522	48	13	consists	consist	VERB
cana-522	48	14	of	of	ADP
cana-522	48	15	two	two	NUM
cana-522	48	16	separate	separate	ADJ
cana-522	48	17	phases	phase	NOUN
cana-522	48	18	.	.	PUNCT
cana-522	49	1	during	during	ADP
cana-522	49	2	the	the	DET
cana-522	49	3	wake	wake	NOUN
cana-522	49	4	phase	phase	NOUN
cana-522	49	5	,	,	PUNCT
cana-522	49	6	the	the	DET
cana-522	49	7	algorithm	algorithm	NOUN
cana-522	49	8	employs	employ	VERB
cana-522	49	9	real	real	ADJ
cana-522	49	10	-	-	PUNCT
cana-522	49	11	world	world	NOUN
cana-522	49	12	data	datum	NOUN
cana-522	49	13	to	to	PART
cana-522	49	14	update	update	VERB
cana-522	49	15	a	a	DET
cana-522	49	16	generative	generative	ADJ
cana-522	49	17	model	model	NOUN
cana-522	49	18	.	.	PUNCT
cana-522	50	1	the	the	DET
cana-522	50	2	current	current	ADJ
cana-522	50	3	stage	stage	NOUN
cana-522	50	4	of	of	ADP
cana-522	50	5	the	the	DET
cana-522	50	6	research	research	NOUN
cana-522	50	7	is	be	AUX
cana-522	50	8	centered	center	VERB
cana-522	50	9	on	on	ADP
cana-522	50	10	acquiring	acquire	VERB
cana-522	50	11	knowledge	knowledge	NOUN
cana-522	50	12	about	about	ADP
cana-522	50	13	the	the	DET
cana-522	50	14	fundamental	fundamental	ADJ
cana-522	50	15	patterns	pattern	NOUN
cana-522	50	16	and	and	CCONJ
cana-522	50	17	structures	structure	NOUN
cana-522	50	18	present	present	ADJ
cana-522	50	19	within	within	ADP
cana-522	50	20	the	the	DET
cana-522	50	21	dataset	dataset	NOUN
cana-522	50	22	.	.	PUNCT
cana-522	51	1	on	on	ADP
cana-522	51	2	the	the	DET
cana-522	51	3	other	other	ADJ
cana-522	51	4	hand	hand	NOUN
cana-522	51	5	,	,	PUNCT
cana-522	51	6	the	the	DET
cana-522	51	7	sleep	sleep	NOUN
cana-522	51	8	phase	phase	NOUN
cana-522	51	9	involves	involve	VERB
cana-522	51	10	the	the	DET
cana-522	51	11	enhancement	enhancement	NOUN
cana-522	51	12	of	of	ADP
cana-522	51	13	a	a	DET
cana-522	51	14	recognition	recognition	NOUN
cana-522	51	15	model	model	NOUN
cana-522	51	16	(	(	PUNCT
cana-522	51	17	encoder	encoder	NOUN
cana-522	51	18	)	)	PUNCT
cana-522	51	19	by	by	ADP
cana-522	51	20	utilizing	utilize	VERB
cana-522	51	21	data	datum	NOUN
cana-522	51	22	produced	produce	VERB
cana-522	51	23	by	by	ADP
cana-522	51	24	the	the	DET
cana-522	51	25	generative	generative	ADJ
cana-522	51	26	model	model	NOUN
cana-522	51	27	.	.	PUNCT
cana-522	52	1	the	the	DET
cana-522	52	2	utilization	utilization	NOUN
cana-522	52	3	of	of	ADP
cana-522	52	4	an	an	DET
cana-522	52	5	iterative	iterative	NOUN
cana-522	52	6	procedure	procedure	NOUN
cana-522	52	7	significantly	significantly	ADV
cana-522	52	8	improves	improve	VERB
cana-522	52	9	the	the	DET
cana-522	52	10	model	model	NOUN
cana-522	52	11	capacity	capacity	NOUN
cana-522	52	12	to	to	PART
cana-522	52	13	successfully	successfully	ADV
cana-522	52	14	capture	capture	VERB
cana-522	52	15	intricate	intricate	ADJ
cana-522	52	16	patterns	pattern	NOUN
cana-522	52	17	.	.	PUNCT
cana-522	53	1	the	the	DET
cana-522	53	2	integration	integration	NOUN
cana-522	53	3	of	of	ADP
cana-522	53	4	the	the	DET
cana-522	53	5	wake	wake	NOUN
cana-522	53	6	-	-	PUNCT
cana-522	53	7	sleep	sleep	NOUN
cana-522	53	8	algorithm	algorithm	NOUN
cana-522	53	9	and	and	CCONJ
cana-522	53	10	the	the	DET
cana-522	53	11	wideresnet	wideresnet	PROPN
cana-522	53	12	architecture	architecture	NOUN
cana-522	53	13	presents	present	VERB
cana-522	53	14	a	a	DET
cana-522	53	15	revolutionary	revolutionary	ADJ
cana-522	53	16	methodology	methodology	NOUN
cana-522	53	17	for	for	ADP
cana-522	53	18	improving	improve	VERB
cana-522	53	19	the	the	DET
cana-522	53	20	efficacy	efficacy	NOUN
cana-522	53	21	and	and	CCONJ
cana-522	53	22	dependability	dependability	NOUN
cana-522	53	23	of	of	ADP
cana-522	53	24	artificial	artificial	ADJ
cana-522	53	25	intelligence	intelligence	NOUN
cana-522	53	26	systems	system	NOUN
cana-522	53	27	while	while	SCONJ
cana-522	53	28	simultaneously	simultaneously	ADV
cana-522	53	29	managing	manage	VERB
cana-522	53	30	computational	computational	ADJ
cana-522	53	31	expenses	expense	NOUN
cana-522	53	32	.	.	PUNCT
cana-522	54	1	this	this	DET
cana-522	54	2	approach	approach	NOUN
cana-522	54	3	capitalizes	capitalize	VERB
cana-522	54	4	on	on	ADP
cana-522	54	5	the	the	DET
cana-522	54	6	respective	respective	ADJ
cana-522	54	7	advantages	advantage	NOUN
cana-522	54	8	of	of	ADP
cana-522	54	9	both	both	DET
cana-522	54	10	components	component	NOUN
cana-522	54	11	in	in	ADP
cana-522	54	12	order	order	NOUN
cana-522	54	13	to	to	PART
cana-522	54	14	develop	develop	VERB
cana-522	54	15	models	model	NOUN
cana-522	54	16	that	that	PRON
cana-522	54	17	exhibit	exhibit	VERB
cana-522	54	18	enhanced	enhance	VERB
cana-522	54	19	interpretability	interpretability	NOUN
cana-522	54	20	,	,	PUNCT
cana-522	54	21	adaptability	adaptability	NOUN
cana-522	54	22	,	,	PUNCT
cana-522	54	23	and	and	CCONJ
cana-522	54	24	reliability	reliability	NOUN
cana-522	54	25	.	.	PUNCT
cana-522	55	1	consequently	consequently	ADV
cana-522	55	2	,	,	PUNCT
cana-522	55	3	it	it	PRON
cana-522	55	4	is	be	AUX
cana-522	55	5	well	well	ADV
cana-522	55	6	-	-	PUNCT
cana-522	55	7	suited	suit	VERB
cana-522	55	8	for	for	ADP
cana-522	55	9	implementation	implementation	NOUN
cana-522	55	10	in	in	ADP
cana-522	55	11	crucial	crucial	ADJ
cana-522	55	12	applications	application	NOUN
cana-522	55	13	where	where	SCONJ
cana-522	55	14	the	the	DET
cana-522	55	15	utmost	utmost	ADJ
cana-522	55	16	importance	importance	NOUN
cana-522	55	17	is	be	AUX
cana-522	55	18	placed	place	VERB
cana-522	55	19	on	on	ADP
cana-522	55	20	trustworthiness	trustworthiness	NOUN
cana-522	55	21	.	.	PUNCT
cana-522	56	1	3.1	3.1	NUM
cana-522	56	2	.	.	PUNCT
cana-522	56	3	wake	wake	VERB
cana-522	56	4	sleep	sleep	NOUN
cana-522	56	5	algorithm	algorithm	NOUN
cana-522	56	6	the	the	DET
cana-522	56	7	wake	wake	NOUN
cana-522	56	8	-	-	PUNCT
cana-522	56	9	sleep	sleep	NOUN
cana-522	56	10	method	method	NOUN
cana-522	56	11	is	be	AUX
cana-522	56	12	a	a	DET
cana-522	56	13	sophisticated	sophisticated	ADJ
cana-522	56	14	unsupervised	unsupervised	ADJ
cana-522	56	15	learning	learning	NOUN
cana-522	56	16	technique	technique	NOUN
cana-522	56	17	employed	employ	VERB
cana-522	56	18	in	in	ADP
cana-522	56	19	the	the	DET
cana-522	56	20	field	field	NOUN
cana-522	56	21	of	of	ADP
cana-522	56	22	generative	generative	ADJ
cana-522	56	23	modeling	modeling	NOUN
cana-522	56	24	.	.	PUNCT
cana-522	57	1	the	the	DET
cana-522	57	2	process	process	NOUN
cana-522	57	3	encompasses	encompass	VERB
cana-522	57	4	a	a	DET
cana-522	57	5	series	series	NOUN
cana-522	57	6	of	of	ADP
cana-522	57	7	mathematical	mathematical	ADJ
cana-522	57	8	calculations	calculation	NOUN
cana-522	57	9	pertaining	pertain	VERB
cana-522	57	10	to	to	ADP
cana-522	57	11	both	both	PRON
cana-522	57	12	the	the	DET
cana-522	57	13	wake	wake	NOUN
cana-522	57	14	phase	phase	NOUN
cana-522	57	15	and	and	CCONJ
cana-522	57	16	the	the	DET
cana-522	57	17	sleep	sleep	NOUN
cana-522	57	18	phase	phase	NOUN
cana-522	57	19	.	.	PUNCT
cana-522	58	1	wake	wake	VERB
cana-522	58	2	phase	phase	NOUN
cana-522	58	3	e	e	NOUN
cana-522	58	4	-	-	NOUN
cana-522	58	5	step	step	NOUN
cana-522	58	6	(	(	PUNCT
cana-522	58	7	expectation	expectation	NOUN
cana-522	58	8	step	step	NOUN
cana-522	58	9	):	):	PUNCT
cana-522	58	10	during	during	ADP
cana-522	58	11	the	the	DET
cana-522	58	12	e	e	NOUN
cana-522	58	13	-	-	NOUN
cana-522	58	14	step	step	NOUN
cana-522	58	15	,	,	PUNCT
cana-522	58	16	the	the	DET
cana-522	58	17	objective	objective	NOUN
cana-522	58	18	is	be	AUX
cana-522	58	19	to	to	PART
cana-522	58	20	calculate	calculate	VERB
cana-522	58	21	the	the	DET
cana-522	58	22	posterior	posterior	ADJ
cana-522	58	23	distribution	distribution	NOUN
cana-522	58	24	of	of	ADP
cana-522	58	25	latent	latent	NOUN
cana-522	58	26	variables	variable	NOUN
cana-522	58	27	based	base	VERB
cana-522	58	28	on	on	ADP
cana-522	58	29	the	the	DET
cana-522	58	30	observed	observe	VERB
cana-522	58	31	data	datum	NOUN
cana-522	58	32	.	.	PUNCT
cana-522	59	1	within	within	ADP
cana-522	59	2	the	the	DET
cana-522	59	3	context	context	NOUN
cana-522	59	4	of	of	ADP
cana-522	59	5	a	a	DET
cana-522	59	6	probabilistic	probabilistic	ADJ
cana-522	59	7	graphical	graphical	ADJ
cana-522	59	8	model	model	NOUN
cana-522	59	9	framework	framework	NOUN
cana-522	59	10	,	,	PUNCT
cana-522	59	11	the	the	DET
cana-522	59	12	concept	concept	NOUN
cana-522	59	13	can	can	AUX
cana-522	59	14	be	be	AUX
cana-522	59	15	effectively	effectively	ADV
cana-522	59	16	depicted	depict	VERB
cana-522	59	17	as	as	SCONJ
cana-522	59	18	follows	follow	VERB
cana-522	59	19	:	:	PUNCT
cana-522	59	20	p(z∣h	p(z∣h	PROPN
cana-522	59	21	,	,	PUNCT
cana-522	59	22	θ	θ	PROPN
cana-522	59	23	)	)	PUNCT
cana-522	59	24	where	where	SCONJ
cana-522	59	25	:	:	PUNCT
cana-522	59	26	z	z	NOUN
cana-522	59	27	represents	represent	VERB
cana-522	59	28	the	the	DET
cana-522	59	29	latent	latent	NOUN
cana-522	59	30	variables	variable	NOUN
cana-522	59	31	.	.	PUNCT
cana-522	60	1	h	h	PROPN
cana-522	60	2	represents	represent	VERB
cana-522	60	3	the	the	DET
cana-522	60	4	observed	observed	ADJ
cana-522	60	5	data	datum	NOUN
cana-522	60	6	.	.	PUNCT
cana-522	61	1	θ	θ	PROPN
cana-522	61	2	represents	represent	VERB
cana-522	61	3	the	the	DET
cana-522	61	4	model	model	NOUN
cana-522	61	5	parameters	parameter	NOUN
cana-522	61	6	.	.	PUNCT
cana-522	62	1	communications	communication	NOUN
cana-522	62	2	on	on	ADP
cana-522	62	3	applied	apply	VERB
cana-522	62	4	nonlinear	nonlinear	ADJ
cana-522	62	5	analysis	analysis	NOUN
cana-522	62	6	issn	issn	NOUN
cana-522	62	7	:	:	PUNCT
cana-522	62	8	1074	1074	NUM
cana-522	62	9	-	-	PUNCT
cana-522	62	10	133x	133x	NUM
cana-522	62	11	vol	vol	NOUN
cana-522	62	12	31	31	NUM
cana-522	62	13	no	no	NOUN
cana-522	62	14	.	.	NOUN
cana-522	62	15	2	2	NUM
cana-522	62	16	(	(	PUNCT
cana-522	62	17	2024	2024	NUM
cana-522	62	18	)	)	PUNCT
cana-522	62	19	99	99	NUM
cana-522	62	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	62	21	wake	wake	VERB
cana-522	62	22	phase	phase	NOUN
cana-522	62	23	m	m	NOUN
cana-522	62	24	-	-	PUNCT
cana-522	62	25	step	step	NOUN
cana-522	62	26	(	(	PUNCT
cana-522	62	27	maximization	maximization	NOUN
cana-522	62	28	step	step	NOUN
cana-522	62	29	):	):	PUNCT
cana-522	62	30	in	in	ADP
cana-522	62	31	the	the	DET
cana-522	62	32	m	m	NOUN
cana-522	62	33	-	-	NOUN
cana-522	62	34	step	step	NOUN
cana-522	62	35	,	,	PUNCT
cana-522	62	36	the	the	DET
cana-522	62	37	goal	goal	NOUN
cana-522	62	38	is	be	AUX
cana-522	62	39	to	to	PART
cana-522	62	40	maximize	maximize	VERB
cana-522	62	41	the	the	DET
cana-522	62	42	expected	expect	VERB
cana-522	62	43	log	log	NOUN
cana-522	62	44	-	-	PUNCT
cana-522	62	45	likelihood	likelihood	NOUN
cana-522	62	46	of	of	ADP
cana-522	62	47	the	the	DET
cana-522	62	48	observed	observe	VERB
cana-522	62	49	data	datum	NOUN
cana-522	62	50	with	with	ADP
cana-522	62	51	respect	respect	NOUN
cana-522	62	52	to	to	ADP
cana-522	62	53	the	the	DET
cana-522	62	54	model	model	NOUN
cana-522	62	55	parameters	parameter	NOUN
cana-522	62	56	.	.	PUNCT
cana-522	63	1	this	this	PRON
cana-522	63	2	can	can	AUX
cana-522	63	3	be	be	AUX
cana-522	63	4	represented	represent	VERB
cana-522	63	5	as	as	ADP
cana-522	63	6	:	:	PUNCT
cana-522	63	7	θ(t+1)=argmaxθ	θ(t+1)=argmaxθ	PROPN
cana-522	63	8	e	e	PROPN
cana-522	63	9	p(z∣h	p(z∣h	PROPN
cana-522	63	10	,	,	PUNCT
cana-522	63	11	θ(t))[logp(h	θ(t))[logp(h	PROPN
cana-522	63	12	,	,	PUNCT
cana-522	63	13	z∣θ	z∣θ	NUM
cana-522	63	14	)	)	PUNCT
cana-522	63	15	]	]	PUNCT
cana-522	64	1	where	where	SCONJ
cana-522	64	2	:	:	PUNCT
cana-522	64	3	θ(t	θ(t	PROPN
cana-522	64	4	)	)	PUNCT
cana-522	64	5	represents	represent	VERB
cana-522	64	6	the	the	DET
cana-522	64	7	current	current	ADJ
cana-522	64	8	model	model	NOUN
cana-522	64	9	parameters	parameter	NOUN
cana-522	64	10	.	.	PUNCT
cana-522	65	1	ep(z∣h	ep(z∣h	PROPN
cana-522	65	2	,	,	PUNCT
cana-522	65	3	θ(t	θ(t	PROPN
cana-522	65	4	)	)	PUNCT
cana-522	65	5	)	)	PUNCT
cana-522	65	6	represents	represent	VERB
cana-522	65	7	the	the	DET
cana-522	65	8	expectation	expectation	NOUN
cana-522	65	9	over	over	ADP
cana-522	65	10	the	the	DET
cana-522	65	11	posterior	posterior	ADJ
cana-522	65	12	distribution	distribution	NOUN
cana-522	65	13	.	.	PUNCT
cana-522	66	1	sleep	sleep	NOUN
cana-522	66	2	phase	phase	NOUN
cana-522	66	3	e	e	NOUN
cana-522	66	4	-	-	NOUN
cana-522	66	5	step	step	NOUN
cana-522	66	6	(	(	PUNCT
cana-522	66	7	expectation	expectation	NOUN
cana-522	66	8	step	step	NOUN
cana-522	66	9	):	):	PUNCT
cana-522	66	10	in	in	ADP
cana-522	66	11	the	the	DET
cana-522	66	12	sleep	sleep	NOUN
cana-522	66	13	phase	phase	NOUN
cana-522	66	14	e	e	NOUN
cana-522	66	15	-	-	NOUN
cana-522	66	16	step	step	NOUN
cana-522	66	17	,	,	PUNCT
cana-522	66	18	we	we	PRON
cana-522	66	19	want	want	VERB
cana-522	66	20	to	to	PART
cana-522	66	21	compute	compute	VERB
cana-522	66	22	the	the	DET
cana-522	66	23	posterior	posterior	ADJ
cana-522	66	24	distribution	distribution	NOUN
cana-522	66	25	over	over	ADP
cana-522	66	26	latent	latent	NOUN
cana-522	66	27	variables	variable	NOUN
cana-522	66	28	given	give	VERB
cana-522	66	29	the	the	DET
cana-522	66	30	observed	observe	VERB
cana-522	66	31	data	datum	NOUN
cana-522	66	32	generated	generate	VERB
cana-522	66	33	by	by	ADP
cana-522	66	34	the	the	DET
cana-522	66	35	generative	generative	ADJ
cana-522	66	36	model	model	NOUN
cana-522	66	37	.	.	PUNCT
cana-522	67	1	this	this	PRON
cana-522	67	2	is	be	AUX
cana-522	67	3	similar	similar	ADJ
cana-522	67	4	to	to	ADP
cana-522	67	5	the	the	DET
cana-522	67	6	wake	wake	NOUN
cana-522	67	7	phase	phase	NOUN
cana-522	67	8	e	e	NOUN
cana-522	67	9	-	-	NOUN
cana-522	67	10	step	step	NOUN
cana-522	67	11	and	and	CCONJ
cana-522	67	12	can	can	AUX
cana-522	67	13	be	be	AUX
cana-522	67	14	represented	represent	VERB
cana-522	67	15	as	as	ADP
cana-522	67	16	:	:	PUNCT
cana-522	67	17	p(z∣h′,θ′	p(z∣h′,θ′	NOUN
cana-522	67	18	)	)	PUNCT
cana-522	67	19	where	where	SCONJ
cana-522	67	20	:	:	PUNCT
cana-522	67	21	h′	h′	PROPN
cana-522	67	22	represents	represent	VERB
cana-522	67	23	the	the	DET
cana-522	67	24	data	datum	NOUN
cana-522	67	25	generated	generate	VERB
cana-522	67	26	by	by	ADP
cana-522	67	27	the	the	DET
cana-522	67	28	generative	generative	ADJ
cana-522	67	29	model	model	NOUN
cana-522	67	30	.	.	PUNCT
cana-522	67	31	θ′	θ′	NOUN
cana-522	67	32	represents	represent	VERB
cana-522	67	33	the	the	DET
cana-522	67	34	parameters	parameter	NOUN
cana-522	67	35	of	of	ADP
cana-522	67	36	the	the	DET
cana-522	67	37	recognition	recognition	NOUN
cana-522	67	38	model	model	NOUN
cana-522	67	39	(	(	PUNCT
cana-522	67	40	encoder	encoder	NOUN
cana-522	67	41	)	)	PUNCT
cana-522	67	42	.	.	PUNCT
cana-522	68	1	sleep	sleep	NOUN
cana-522	68	2	phase	phase	NOUN
cana-522	68	3	m	m	NOUN
cana-522	68	4	-	-	PUNCT
cana-522	68	5	step	step	NOUN
cana-522	68	6	(	(	PUNCT
cana-522	68	7	maximization	maximization	NOUN
cana-522	68	8	step	step	NOUN
cana-522	68	9	):	):	PUNCT
cana-522	68	10	in	in	ADP
cana-522	68	11	the	the	DET
cana-522	68	12	sleep	sleep	NOUN
cana-522	68	13	phase	phase	NOUN
cana-522	68	14	m	m	NOUN
cana-522	68	15	-	-	PUNCT
cana-522	68	16	step	step	NOUN
cana-522	68	17	,	,	PUNCT
cana-522	68	18	the	the	DET
cana-522	68	19	goal	goal	NOUN
cana-522	68	20	is	be	AUX
cana-522	68	21	to	to	PART
cana-522	68	22	maximize	maximize	VERB
cana-522	68	23	the	the	DET
cana-522	68	24	expected	expect	VERB
cana-522	68	25	log	log	NOUN
cana-522	68	26	-	-	PUNCT
cana-522	68	27	likelihood	likelihood	NOUN
cana-522	68	28	of	of	ADP
cana-522	68	29	the	the	DET
cana-522	68	30	observed	observe	VERB
cana-522	68	31	data	datum	NOUN
cana-522	68	32	generated	generate	VERB
cana-522	68	33	by	by	ADP
cana-522	68	34	the	the	DET
cana-522	68	35	generative	generative	ADJ
cana-522	68	36	model	model	NOUN
cana-522	68	37	with	with	ADP
cana-522	68	38	respect	respect	NOUN
cana-522	68	39	to	to	ADP
cana-522	68	40	the	the	DET
cana-522	68	41	recognition	recognition	NOUN
cana-522	68	42	model	model	NOUN
cana-522	68	43	parameters	parameter	NOUN
cana-522	68	44	.	.	PUNCT
cana-522	69	1	this	this	PRON
cana-522	69	2	can	can	AUX
cana-522	69	3	be	be	AUX
cana-522	69	4	represented	represent	VERB
cana-522	69	5	as	as	ADP
cana-522	69	6	:	:	PUNCT
cana-522	69	7	θ′(t+1)=argmaxθ′	θ′(t+1)=argmaxθ′	INTJ
cana-522	69	8	e	e	NOUN
cana-522	69	9	p(z∣h′,θ′(t))[logp(h′∣z	p(z∣h′,θ′(t))[logp(h′∣z	ADV
cana-522	69	10	,	,	PUNCT
cana-522	69	11	θ′	θ′	NOUN
cana-522	69	12	)	)	PUNCT
cana-522	69	13	]	]	PUNCT
cana-522	70	1	where	where	SCONJ
cana-522	70	2	:	:	PUNCT
cana-522	70	3	θ′(t	θ′(t	X
cana-522	70	4	)	)	PUNCT
cana-522	70	5	represents	represent	VERB
cana-522	70	6	the	the	DET
cana-522	70	7	current	current	ADJ
cana-522	70	8	recognition	recognition	NOUN
cana-522	70	9	model	model	NOUN
cana-522	70	10	parameters	parameter	NOUN
cana-522	70	11	.	.	PUNCT
cana-522	71	1	ep(z∣h′,θ′(t	ep(z∣h′,θ′(t	NOUN
cana-522	71	2	)	)	PUNCT
cana-522	71	3	)	)	PUNCT
cana-522	72	1	represents	represent	VERB
cana-522	72	2	the	the	DET
cana-522	72	3	expectation	expectation	NOUN
cana-522	72	4	over	over	ADP
cana-522	72	5	the	the	DET
cana-522	72	6	posterior	posterior	ADJ
cana-522	72	7	distribution	distribution	NOUN
cana-522	72	8	.	.	PUNCT
cana-522	73	1	3.2	3.2	NUM
cana-522	73	2	.	.	PUNCT
cana-522	74	1	wideresnet	wideresnet	PROPN
cana-522	74	2	wideresnet	wideresnet	PROPN
cana-522	74	3	is	be	AUX
cana-522	74	4	a	a	DET
cana-522	74	5	neural	neural	ADJ
cana-522	74	6	network	network	NOUN
cana-522	74	7	architecture	architecture	NOUN
cana-522	74	8	that	that	PRON
cana-522	74	9	extends	extend	VERB
cana-522	74	10	the	the	DET
cana-522	74	11	traditional	traditional	ADJ
cana-522	74	12	resnet	resnet	NOUN
cana-522	74	13	architecture	architecture	NOUN
cana-522	74	14	by	by	ADP
cana-522	74	15	increasing	increase	VERB
cana-522	74	16	the	the	DET
cana-522	74	17	width	width	NOUN
cana-522	74	18	of	of	ADP
cana-522	74	19	the	the	DET
cana-522	74	20	network	network	NOUN
cana-522	74	21	,	,	PUNCT
cana-522	74	22	typically	typically	ADV
cana-522	74	23	through	through	ADP
cana-522	74	24	widening	widen	VERB
cana-522	74	25	the	the	DET
cana-522	74	26	convolutional	convolutional	ADJ
cana-522	74	27	layers	layer	NOUN
cana-522	74	28	.	.	PUNCT
cana-522	75	1	in	in	ADP
cana-522	75	2	wideresnet	wideresnet	PROPN
cana-522	75	3	,	,	PUNCT
cana-522	75	4	each	each	DET
cana-522	75	5	residual	residual	ADJ
cana-522	75	6	block	block	NOUN
cana-522	75	7	can	can	AUX
cana-522	75	8	be	be	AUX
cana-522	75	9	represented	represent	VERB
cana-522	75	10	mathematically	mathematically	ADV
cana-522	75	11	as	as	SCONJ
cana-522	75	12	follows	follow	VERB
cana-522	75	13	:	:	PUNCT
cana-522	75	14	hl+1	hl+1	X
cana-522	75	15	=	=	SYM
cana-522	75	16	f(hl	f(hl	NOUN
cana-522	75	17	,	,	PUNCT
cana-522	75	18	wl+1)+hl	wl+1)+hl	VERB
cana-522	75	19	where	where	SCONJ
cana-522	75	20	:	:	PUNCT
cana-522	75	21	hl+1	hl+1	PROPN
cana-522	75	22	is	be	AUX
cana-522	75	23	the	the	DET
cana-522	75	24	output	output	NOUN
cana-522	75	25	of	of	ADP
cana-522	75	26	the	the	DET
cana-522	75	27	l+1	l+1	NOUN
cana-522	75	28	-	-	PUNCT
cana-522	75	29	th	th	VERB
cana-522	75	30	layer	layer	NOUN
cana-522	75	31	.	.	PUNCT
cana-522	76	1	hl	hl	PROPN
cana-522	76	2	is	be	AUX
cana-522	76	3	the	the	DET
cana-522	76	4	input	input	NOUN
cana-522	76	5	to	to	ADP
cana-522	76	6	the	the	DET
cana-522	76	7	l	l	NOUN
cana-522	76	8	-	-	PUNCT
cana-522	76	9	th	th	VERB
cana-522	76	10	layer	layer	NOUN
cana-522	76	11	.	.	PUNCT
cana-522	77	1	wl+1	wl+1	PROPN
cana-522	77	2	represents	represent	VERB
cana-522	77	3	the	the	DET
cana-522	77	4	weights	weight	NOUN
cana-522	77	5	of	of	ADP
cana-522	77	6	the	the	DET
cana-522	77	7	convolutional	convolutional	ADJ
cana-522	77	8	layers	layer	NOUN
cana-522	77	9	in	in	ADP
cana-522	77	10	the	the	DET
cana-522	77	11	l+1	l+1	ADV
cana-522	77	12	-	-	PUNCT
cana-522	77	13	th	th	VERB
cana-522	77	14	block	block	NOUN
cana-522	77	15	.	.	PUNCT
cana-522	78	1	f	f	PROPN
cana-522	78	2	is	be	AUX
cana-522	78	3	the	the	DET
cana-522	78	4	residual	residual	ADJ
cana-522	78	5	function	function	NOUN
cana-522	78	6	wideresnet	wideresnet	NOUN
cana-522	78	7	configuration	configuration	NOUN
cana-522	78	8	:	:	PUNCT
cana-522	78	9	wideresnet	wideresnet	PROPN
cana-522	78	10	is	be	AUX
cana-522	78	11	characterized	characterize	VERB
cana-522	78	12	by	by	ADP
cana-522	78	13	its	its	PRON
cana-522	78	14	width	width	ADJ
cana-522	78	15	parameter	parameter	NOUN
cana-522	78	16	,	,	PUNCT
cana-522	78	17	often	often	ADV
cana-522	78	18	denoted	denote	VERB
cana-522	78	19	as	as	ADP
cana-522	78	20	k.	k.	PROPN
cana-522	78	21	this	this	DET
cana-522	78	22	parameter	parameter	NOUN
cana-522	78	23	controls	control	VERB
cana-522	78	24	the	the	DET
cana-522	78	25	widening	widening	NOUN
cana-522	78	26	of	of	ADP
cana-522	78	27	convolutional	convolutional	ADJ
cana-522	78	28	layers	layer	NOUN
cana-522	78	29	.	.	PUNCT
cana-522	79	1	mathematically	mathematically	ADV
cana-522	79	2	,	,	PUNCT
cana-522	79	3	consider	consider	VERB
cana-522	79	4	a	a	DET
cana-522	79	5	n	n	CCONJ
cana-522	79	6	convolutional	convolutional	ADJ
cana-522	79	7	filters	filter	NOUN
cana-522	79	8	in	in	ADP
cana-522	79	9	a	a	DET
cana-522	79	10	layer	layer	NOUN
cana-522	79	11	,	,	PUNCT
cana-522	79	12	you	you	PRON
cana-522	79	13	would	would	AUX
cana-522	79	14	have	have	VERB
cana-522	79	15	k⋅n	k⋅n	PROPN
cana-522	79	16	filters	filter	NOUN
cana-522	79	17	in	in	ADP
cana-522	79	18	a	a	DET
cana-522	79	19	wide	wide	ADJ
cana-522	79	20	variant	variant	NOUN
cana-522	79	21	of	of	ADP
cana-522	79	22	the	the	DET
cana-522	79	23	same	same	ADJ
cana-522	79	24	layer	layer	NOUN
cana-522	79	25	.	.	PUNCT
cana-522	80	1	the	the	DET
cana-522	80	2	depth	depth	NOUN
cana-522	80	3	and	and	CCONJ
cana-522	80	4	width	width	NOUN
cana-522	80	5	of	of	ADP
cana-522	80	6	a	a	DET
cana-522	80	7	wideresnet	wideresnet	NOUN
cana-522	80	8	is	be	AUX
cana-522	80	9	represented	represent	VERB
cana-522	80	10	as	as	SCONJ
cana-522	80	11	follows	follow	VERB
cana-522	80	12	:	:	PUNCT
cana-522	80	13	communications	communication	NOUN
cana-522	80	14	on	on	ADP
cana-522	80	15	applied	apply	VERB
cana-522	80	16	nonlinear	nonlinear	ADJ
cana-522	80	17	analysis	analysis	NOUN
cana-522	80	18	issn	issn	NOUN
cana-522	80	19	:	:	PUNCT
cana-522	80	20	1074	1074	NUM
cana-522	80	21	-	-	PUNCT
cana-522	80	22	133x	133x	NUM
cana-522	80	23	vol	vol	NOUN
cana-522	80	24	31	31	NUM
cana-522	80	25	no	no	NOUN
cana-522	80	26	.	.	NOUN
cana-522	80	27	2	2	NUM
cana-522	80	28	(	(	PUNCT
cana-522	80	29	2024	2024	NUM
cana-522	80	30	)	)	PUNCT
cana-522	80	31	100	100	NUM
cana-522	80	32	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-522	80	33	dl=(l−4)/6	dl=(l−4)/6	NOUN
cana-522	80	34	where	where	SCONJ
cana-522	80	35	:	:	PUNCT
cana-522	80	36	l	l	NOUN
cana-522	80	37	is	be	AUX
cana-522	80	38	the	the	DET
cana-522	80	39	total	total	ADJ
cana-522	80	40	number	number	NOUN
cana-522	80	41	of	of	ADP
cana-522	80	42	layers	layer	NOUN
cana-522	80	43	in	in	ADP
cana-522	80	44	the	the	DET
cana-522	80	45	network	network	NOUN
cana-522	80	46	.	.	PUNCT
cana-522	81	1	dl	dl	PROPN
cana-522	81	2	represents	represent	VERB
cana-522	81	3	the	the	DET
cana-522	81	4	depth	depth	NOUN
cana-522	81	5	of	of	ADP
cana-522	81	6	each	each	DET
cana-522	81	7	residual	residual	ADJ
cana-522	81	8	block	block	NOUN
cana-522	81	9	.	.	PUNCT
cana-522	82	1	width	width	NOUN
cana-522	82	2	:	:	PUNCT
cana-522	82	3	k=10⋅w	k=10⋅w	VERB
cana-522	82	4	where	where	SCONJ
cana-522	82	5	:	:	PUNCT
cana-522	82	6	k	k	X
cana-522	82	7	is	be	AUX
cana-522	82	8	the	the	DET
cana-522	82	9	width	width	ADJ
cana-522	82	10	factor	factor	NOUN
cana-522	82	11	.	.	PUNCT
cana-522	83	1	w	w	PROPN
cana-522	83	2	is	be	AUX
cana-522	83	3	a	a	DET
cana-522	83	4	hyperparameter	hyperparameter	NOUN
cana-522	83	5	controlling	control	VERB
cana-522	83	6	the	the	DET
cana-522	83	7	width	width	NOUN
cana-522	83	8	.	.	PUNCT
cana-522	84	1	proposed	propose	VERB
cana-522	84	2	algorithm	algorithm	NOUN
cana-522	84	3	input	input	NOUN
cana-522	84	4	:	:	PUNCT
cana-522	84	5	training	training	NOUN
cana-522	84	6	dataset	dataset	NOUN
cana-522	84	7	,	,	PUNCT
cana-522	84	8	hyperparameters	hyperparameter	NOUN
cana-522	84	9	,	,	PUNCT
cana-522	84	10	model	model	NOUN
cana-522	84	11	parameters	parameter	NOUN
cana-522	84	12	output	output	VERB
cana-522	84	13	:	:	PUNCT
cana-522	84	14	trained	train	VERB
cana-522	84	15	assurance	assurance	NOUN
cana-522	84	16	model	model	NOUN
cana-522	84	17	initialization	initialization	NOUN
cana-522	84	18	:	:	PUNCT
cana-522	84	19	initialize	initialize	VERB
cana-522	84	20	model	model	NOUN
cana-522	84	21	parameters	parameter	NOUN
cana-522	84	22	,	,	PUNCT
cana-522	84	23	including	include	VERB
cana-522	84	24	those	those	PRON
cana-522	84	25	for	for	ADP
cana-522	84	26	the	the	DET
cana-522	84	27	wideresnet	wideresnet	NOUN
cana-522	84	28	and	and	CCONJ
cana-522	84	29	any	any	DET
cana-522	84	30	specific	specific	ADJ
cana-522	84	31	parameters	parameter	NOUN
cana-522	84	32	for	for	ADP
cana-522	84	33	the	the	DET
cana-522	84	34	wake	wake	NOUN
cana-522	84	35	-	-	PUNCT
cana-522	84	36	sleep	sleep	NOUN
cana-522	84	37	algorithm	algorithm	NOUN
cana-522	84	38	.	.	PUNCT
cana-522	85	1	data	datum	NOUN
cana-522	85	2	preprocessing	preprocessing	NOUN
cana-522	85	3	:	:	PUNCT
cana-522	85	4	preprocess	preprocess	VERB
cana-522	85	5	the	the	DET
cana-522	85	6	training	training	NOUN
cana-522	85	7	dataset	dataset	NOUN
cana-522	85	8	,	,	PUNCT
cana-522	85	9	including	include	VERB
cana-522	85	10	data	datum	NOUN
cana-522	85	11	augmentation	augmentation	NOUN
cana-522	85	12	if	if	SCONJ
cana-522	85	13	required	require	VERB
cana-522	85	14	.	.	PUNCT
cana-522	86	1	training	training	NOUN
cana-522	86	2	loop	loop	NOUN
cana-522	86	3	:	:	PUNCT
cana-522	86	4	for	for	ADP
cana-522	86	5	a	a	DET
cana-522	86	6	specified	specified	ADJ
cana-522	86	7	number	number	NOUN
cana-522	86	8	of	of	ADP
cana-522	86	9	epochs	epoch	NOUN
cana-522	86	10	or	or	CCONJ
cana-522	86	11	until	until	ADP
cana-522	86	12	convergence	convergence	NOUN
cana-522	86	13	:	:	PUNCT
cana-522	86	14	wake	wake	VERB
cana-522	86	15	phase	phase	NOUN
cana-522	86	16	:	:	PUNCT
cana-522	86	17	iterate	iterate	NOUN
cana-522	86	18	through	through	ADP
cana-522	86	19	the	the	DET
cana-522	86	20	training	training	NOUN
cana-522	86	21	dataset	dataset	NOUN
cana-522	86	22	.	.	PUNCT
cana-522	87	1	compute	compute	VERB
cana-522	87	2	the	the	DET
cana-522	87	3	posterior	posterior	ADJ
cana-522	87	4	distribution	distribution	NOUN
cana-522	87	5	over	over	ADP
cana-522	87	6	latent	latent	NOUN
cana-522	87	7	variables	variable	NOUN
cana-522	87	8	using	use	VERB
cana-522	87	9	the	the	DET
cana-522	87	10	wake	wake	VERB
cana-522	87	11	-	-	PUNCT
cana-522	87	12	sleep	sleep	NOUN
cana-522	87	13	algorithm	algorithm	NOUN
cana-522	87	14	estep	estep	NOUN
cana-522	87	15	.	.	PUNCT
cana-522	88	1	update	update	VERB
cana-522	88	2	the	the	DET
cana-522	88	3	model	model	NOUN
cana-522	88	4	parameters	parameter	NOUN
cana-522	88	5	using	use	VERB
cana-522	88	6	the	the	DET
cana-522	88	7	wake	wake	VERB
cana-522	88	8	-	-	PUNCT
cana-522	88	9	sleep	sleep	NOUN
cana-522	88	10	algorithm	algorithm	NOUN
cana-522	88	11	m	m	NOUN
cana-522	88	12	-	-	NOUN
cana-522	88	13	step	step	NOUN
cana-522	88	14	.	.	PUNCT
cana-522	89	1	sleep	sleep	NOUN
cana-522	89	2	phase	phase	NOUN
cana-522	89	3	:	:	PUNCT
cana-522	89	4	iterate	iterate	NOUN
cana-522	89	5	through	through	ADP
cana-522	89	6	the	the	DET
cana-522	89	7	training	training	NOUN
cana-522	89	8	dataset	dataset	NOUN
cana-522	89	9	.	.	PUNCT
cana-522	90	1	generate	generate	VERB
cana-522	90	2	data	datum	NOUN
cana-522	90	3	using	use	VERB
cana-522	90	4	the	the	DET
cana-522	90	5	generative	generative	ADJ
cana-522	90	6	model	model	NOUN
cana-522	90	7	.	.	PUNCT
cana-522	91	1	compute	compute	VERB
cana-522	91	2	the	the	DET
cana-522	91	3	posterior	posterior	ADJ
cana-522	91	4	distribution	distribution	NOUN
cana-522	91	5	over	over	ADP
cana-522	91	6	latent	latent	NOUN
cana-522	91	7	variables	variable	NOUN
cana-522	91	8	using	use	VERB
cana-522	91	9	the	the	DET
cana-522	91	10	wake	wake	VERB
cana-522	91	11	-	-	PUNCT
cana-522	91	12	sleep	sleep	NOUN
cana-522	91	13	algorithm	algorithm	NOUN
cana-522	91	14	e	e	NOUN
cana-522	91	15	-	-	NOUN
cana-522	91	16	step	step	NOUN
cana-522	91	17	for	for	ADP
cana-522	91	18	the	the	DET
cana-522	91	19	recognition	recognition	NOUN
cana-522	91	20	model	model	NOUN
cana-522	91	21	.	.	PUNCT
cana-522	92	1	update	update	VERB
cana-522	92	2	the	the	DET
cana-522	92	3	recognition	recognition	NOUN
cana-522	92	4	model	model	NOUN
cana-522	92	5	(	(	PUNCT
cana-522	92	6	encoder	encoder	NOUN
cana-522	92	7	)	)	PUNCT
cana-522	92	8	parameters	parameter	NOUN
cana-522	92	9	using	use	VERB
cana-522	92	10	the	the	DET
cana-522	92	11	wake	wake	VERB
cana-522	92	12	-	-	PUNCT
cana-522	92	13	sleep	sleep	NOUN
cana-522	92	14	algorithm	algorithm	NOUN
cana-522	92	15	m	m	NOUN
cana-522	92	16	-	-	NOUN
cana-522	92	17	step	step	NOUN
cana-522	92	18	for	for	ADP
cana-522	92	19	the	the	DET
cana-522	92	20	sleep	sleep	NOUN
cana-522	92	21	phase	phase	NOUN
cana-522	92	22	.	.	PUNCT
cana-522	93	1	resource	resource	NOUN
cana-522	93	2	optimization	optimization	NOUN
cana-522	93	3	:	:	PUNCT
cana-522	93	4	implement	implement	VERB
cana-522	93	5	resource	resource	NOUN
cana-522	93	6	optimization	optimization	NOUN
cana-522	93	7	techniques	technique	NOUN
cana-522	93	8	,	,	PUNCT
cana-522	93	9	if	if	SCONJ
cana-522	93	10	applicable	applicable	ADJ
cana-522	93	11	,	,	PUNCT
cana-522	93	12	to	to	PART
cana-522	93	13	ensure	ensure	VERB
cana-522	93	14	cost	cost	NOUN
cana-522	93	15	-	-	PUNCT
cana-522	93	16	effectiveness	effectiveness	NOUN
cana-522	93	17	.	.	PUNCT
cana-522	94	1	communications	communication	NOUN
cana-522	94	2	on	on	ADP
cana-522	94	3	applied	apply	VERB
cana-522	94	4	nonlinear	nonlinear	ADJ
cana-522	94	5	analysis	analysis	NOUN
cana-522	94	6	issn	issn	NOUN
cana-522	94	7	:	:	PUNCT
cana-522	94	8	1074	1074	NUM
cana-522	94	9	-	-	PUNCT
cana-522	94	10	133x	133x	NUM
cana-522	94	11	vol	vol	NOUN
cana-522	94	12	31	31	NUM
cana-522	94	13	no	no	NOUN
cana-522	94	14	.	.	NOUN
cana-522	94	15	2	2	NUM
cana-522	94	16	(	(	PUNCT
cana-522	94	17	2024	2024	NUM
cana-522	94	18	)	)	PUNCT
cana-522	94	19	101	101	NUM
cana-522	94	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	94	21	validation	validation	NOUN
cana-522	94	22	:	:	PUNCT
cana-522	94	23	evaluate	evaluate	VERB
cana-522	94	24	the	the	DET
cana-522	94	25	trained	train	VERB
cana-522	94	26	assurance	assurance	NOUN
cana-522	94	27	model	model	NOUN
cana-522	94	28	on	on	ADP
cana-522	94	29	a	a	DET
cana-522	94	30	validation	validation	NOUN
cana-522	94	31	dataset	dataset	NOUN
cana-522	94	32	to	to	PART
cana-522	94	33	monitor	monitor	VERB
cana-522	94	34	its	its	PRON
cana-522	94	35	performance	performance	NOUN
cana-522	94	36	and	and	CCONJ
cana-522	94	37	prevent	prevent	VERB
cana-522	94	38	overfitting	overfitting	NOUN
cana-522	94	39	.	.	PUNCT
cana-522	95	1	figure	figure	NOUN
cana-522	95	2	1	1	NUM
cana-522	95	3	:	:	PUNCT
cana-522	95	4	proposed	propose	VERB
cana-522	95	5	method	method	NOUN
cana-522	95	6	4	4	NUM
cana-522	95	7	.	.	PUNCT
cana-522	95	8	evaluation	evaluation	NOUN
cana-522	95	9	to	to	PART
cana-522	95	10	ensure	ensure	VERB
cana-522	95	11	cost	cost	NOUN
cana-522	95	12	-	-	PUNCT
cana-522	95	13	effectiveness	effectiveness	NOUN
cana-522	95	14	,	,	PUNCT
cana-522	95	15	the	the	DET
cana-522	95	16	research	research	NOUN
cana-522	95	17	splits	split	VERB
cana-522	95	18	dataset	dataset	VERB
cana-522	95	19	into	into	ADP
cana-522	95	20	training	training	NOUN
cana-522	95	21	,	,	PUNCT
cana-522	95	22	validation	validation	NOUN
cana-522	95	23	,	,	PUNCT
cana-522	95	24	and	and	CCONJ
cana-522	95	25	test	test	NOUN
cana-522	95	26	sets	set	NOUN
cana-522	95	27	.	.	PUNCT
cana-522	96	1	train	train	NOUN
cana-522	96	2	wake	wake	NOUN
cana-522	96	3	-	-	PUNCT
cana-522	96	4	sleep	sleep	NOUN
cana-522	96	5	wideresnet	wideresnet	NOUN
cana-522	96	6	model	model	NOUN
cana-522	96	7	on	on	ADP
cana-522	96	8	the	the	DET
cana-522	96	9	training	training	NOUN
cana-522	96	10	data	datum	NOUN
cana-522	96	11	and	and	CCONJ
cana-522	96	12	monitor	monitor	VERB
cana-522	96	13	its	its	PRON
cana-522	96	14	performance	performance	NOUN
cana-522	96	15	on	on	ADP
cana-522	96	16	the	the	DET
cana-522	96	17	validation	validation	NOUN
cana-522	96	18	set	set	NOUN
cana-522	96	19	.	.	PUNCT
cana-522	97	1	it	it	PRON
cana-522	97	2	perform	perform	VERB
cana-522	97	3	hyperparameter	hyperparameter	NOUN
cana-522	97	4	tuning	tune	VERB
cana-522	97	5	using	use	VERB
cana-522	97	6	techniques	technique	NOUN
cana-522	97	7	like	like	ADP
cana-522	97	8	grid	grid	NOUN
cana-522	97	9	search	search	NOUN
cana-522	97	10	to	to	PART
cana-522	97	11	find	find	VERB
cana-522	97	12	the	the	DET
cana-522	97	13	best	good	ADJ
cana-522	97	14	set	set	NOUN
cana-522	97	15	of	of	ADP
cana-522	97	16	hyperparameters	hyperparameter	NOUN
cana-522	97	17	for	for	ADP
cana-522	97	18	model	model	NOUN
cana-522	97	19	as	as	ADP
cana-522	97	20	in	in	ADP
cana-522	97	21	table	table	NOUN
cana-522	97	22	1	1	NUM
cana-522	97	23	.	.	PUNCT
cana-522	97	24	table	table	NOUN
cana-522	97	25	1	1	NUM
cana-522	97	26	:	:	PUNCT
cana-522	97	27	experimental	experimental	ADJ
cana-522	97	28	setup	setup	NOUN
cana-522	97	29	parameter	parameter	NOUN
cana-522	97	30	value	value	NOUN
cana-522	97	31	model	model	NOUN
cana-522	97	32	architecture	architecture	NOUN
cana-522	97	33	wideresnet	wideresnet	NOUN
cana-522	97	34	number	number	NOUN
cana-522	97	35	of	of	ADP
cana-522	97	36	layers	layer	NOUN
cana-522	97	37	28	28	NUM
cana-522	97	38	width	width	ADJ
cana-522	97	39	factor	factor	NOUN
cana-522	97	40	10	10	NUM
cana-522	97	41	learning	learning	NOUN
cana-522	97	42	rate	rate	NOUN
cana-522	97	43	0.001	0.001	NUM
cana-522	97	44	batch	batch	NOUN
cana-522	97	45	size	size	NOUN
cana-522	97	46	64	64	NUM
cana-522	97	47	training	training	NOUN
cana-522	97	48	epochs	epoch	NOUN
cana-522	97	49	100	100	NUM
cana-522	97	50	initialization	initialization	NOUN
cana-522	97	51	data	datum	NOUN
cana-522	97	52	preprocessing	preprocesse	VERB
cana-522	97	53	training	training	NOUN
cana-522	97	54	loop	loop	NOUN
cana-522	97	55	wake	wake	VERB
cana-522	97	56	phase	phase	NOUN
cana-522	97	57	sleep	sleep	NOUN
cana-522	97	58	phase	phase	NOUN
cana-522	97	59	resource	resource	NOUN
cana-522	97	60	optimization	optimization	NOUN
cana-522	97	61	validation	validation	NOUN
cana-522	97	62	hyperparameter	hyperparameter	NOUN
cana-522	97	63	tuning	tune	VERB
cana-522	97	64	cost	cost	NOUN
cana-522	97	65	analysis	analysis	NOUN
cana-522	97	66	communications	communication	NOUN
cana-522	97	67	on	on	ADP
cana-522	97	68	applied	apply	VERB
cana-522	97	69	nonlinear	nonlinear	ADJ
cana-522	97	70	analysis	analysis	NOUN
cana-522	97	71	issn	issn	NOUN
cana-522	97	72	:	:	PUNCT
cana-522	97	73	1074	1074	NUM
cana-522	97	74	-	-	PUNCT
cana-522	97	75	133x	133x	NUM
cana-522	97	76	vol	vol	NOUN
cana-522	97	77	31	31	NUM
cana-522	97	78	no	no	NOUN
cana-522	97	79	.	.	NOUN
cana-522	97	80	2	2	NUM
cana-522	97	81	(	(	PUNCT
cana-522	97	82	2024	2024	NUM
cana-522	97	83	)	)	PUNCT
cana-522	97	84	102	102	NUM
cana-522	97	85	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	97	86	optimizer	optimizer	NOUN
cana-522	97	87	adam	adam	PROPN
cana-522	97	88	weight	weight	NOUN
cana-522	97	89	decay	decay	NOUN
cana-522	97	90	0.0001	0.0001	NUM
cana-522	97	91	wake	wake	NOUN
cana-522	97	92	phase	phase	NOUN
cana-522	97	93	steps	step	NOUN
cana-522	97	94	10	10	NUM
cana-522	97	95	sleep	sleep	NOUN
cana-522	97	96	phase	phase	NOUN
cana-522	97	97	steps	step	VERB
cana-522	97	98	10	10	NUM
cana-522	97	99	dropout	dropout	NOUN
cana-522	97	100	rate	rate	NOUN
cana-522	97	101	0.5	0.5	NUM
cana-522	97	102	the	the	DET
cana-522	97	103	performance	performance	NOUN
cana-522	97	104	of	of	ADP
cana-522	97	105	the	the	DET
cana-522	97	106	proposed	propose	VERB
cana-522	97	107	method	method	NOUN
cana-522	97	108	is	be	AUX
cana-522	97	109	evaluated	evaluate	VERB
cana-522	97	110	using	use	VERB
cana-522	97	111	various	various	ADJ
cana-522	97	112	metrics	metric	NOUN
cana-522	97	113	,	,	PUNCT
cana-522	97	114	including	include	VERB
cana-522	97	115	:	:	PUNCT
cana-522	97	116	accuracy	accuracy	NOUN
cana-522	97	117	:	:	PUNCT
cana-522	97	118	this	this	DET
cana-522	97	119	metric	metric	ADJ
cana-522	97	120	measures	measure	NOUN
cana-522	97	121	the	the	DET
cana-522	97	122	proportion	proportion	NOUN
cana-522	97	123	of	of	ADP
cana-522	97	124	correctly	correctly	ADV
cana-522	97	125	classified	classified	ADJ
cana-522	97	126	instances	instance	NOUN
cana-522	97	127	in	in	ADP
cana-522	97	128	the	the	DET
cana-522	97	129	test	test	NOUN
cana-522	97	130	dataset	dataset	NOUN
cana-522	97	131	.	.	PUNCT
cana-522	98	1	it	it	PRON
cana-522	98	2	assesses	assess	VERB
cana-522	98	3	the	the	DET
cana-522	98	4	model	model	NOUN
cana-522	98	5	overall	overall	ADJ
cana-522	98	6	correctness	correctness	NOUN
cana-522	98	7	in	in	ADP
cana-522	98	8	making	make	VERB
cana-522	98	9	predictions	prediction	NOUN
cana-522	98	10	.	.	PUNCT
cana-522	99	1	f1	f1	NOUN
cana-522	99	2	-	-	PUNCT
cana-522	99	3	score	score	NOUN
cana-522	99	4	:	:	PUNCT
cana-522	99	5	the	the	DET
cana-522	99	6	f1	f1	NOUN
cana-522	99	7	-	-	PUNCT
cana-522	99	8	score	score	NOUN
cana-522	99	9	is	be	AUX
cana-522	99	10	the	the	DET
cana-522	99	11	harmonic	harmonic	ADJ
cana-522	99	12	mean	mean	NOUN
cana-522	99	13	of	of	ADP
cana-522	99	14	precision	precision	NOUN
cana-522	99	15	and	and	CCONJ
cana-522	99	16	recall	recall	NOUN
cana-522	99	17	.	.	PUNCT
cana-522	100	1	it	it	PRON
cana-522	100	2	provides	provide	VERB
cana-522	100	3	a	a	DET
cana-522	100	4	balance	balance	NOUN
cana-522	100	5	between	between	ADP
cana-522	100	6	false	false	ADJ
cana-522	100	7	positives	positive	NOUN
cana-522	100	8	and	and	CCONJ
cana-522	100	9	false	false	ADJ
cana-522	100	10	negatives	negative	NOUN
cana-522	100	11	and	and	CCONJ
cana-522	100	12	is	be	AUX
cana-522	100	13	particularly	particularly	ADV
cana-522	100	14	useful	useful	ADJ
cana-522	100	15	when	when	SCONJ
cana-522	100	16	dealing	deal	VERB
cana-522	100	17	with	with	ADP
cana-522	100	18	imbalanced	imbalanced	ADJ
cana-522	100	19	datasets	dataset	NOUN
cana-522	100	20	.	.	PUNCT
cana-522	101	1	gpu	gpu	NOUN
cana-522	101	2	usage	usage	NOUN
cana-522	101	3	:	:	PUNCT
cana-522	101	4	gpu	gpu	NOUN
cana-522	101	5	usage	usage	NOUN
cana-522	101	6	quantifies	quantifie	NOUN
cana-522	101	7	the	the	DET
cana-522	101	8	computational	computational	ADJ
cana-522	101	9	resources	resource	NOUN
cana-522	101	10	required	require	VERB
cana-522	101	11	during	during	ADP
cana-522	101	12	model	model	NOUN
cana-522	101	13	training	training	NOUN
cana-522	101	14	.	.	PUNCT
cana-522	102	1	monitoring	monitor	VERB
cana-522	102	2	gpu	gpu	NOUN
cana-522	102	3	utilization	utilization	NOUN
cana-522	102	4	helps	help	VERB
cana-522	102	5	assess	assess	VERB
cana-522	102	6	the	the	DET
cana-522	102	7	method	method	NOUN
cana-522	102	8	efficiency	efficiency	NOUN
cana-522	102	9	in	in	ADP
cana-522	102	10	resource	resource	NOUN
cana-522	102	11	consumption	consumption	NOUN
cana-522	102	12	.	.	PUNCT
cana-522	103	1	training	training	NOUN
cana-522	103	2	time	time	NOUN
cana-522	103	3	:	:	PUNCT
cana-522	103	4	training	training	NOUN
cana-522	103	5	time	time	NOUN
cana-522	103	6	measures	measure	NOUN
cana-522	103	7	how	how	SCONJ
cana-522	103	8	long	long	ADV
cana-522	103	9	it	it	PRON
cana-522	103	10	takes	take	VERB
cana-522	103	11	for	for	SCONJ
cana-522	103	12	the	the	DET
cana-522	103	13	model	model	NOUN
cana-522	103	14	to	to	PART
cana-522	103	15	converge	converge	VERB
cana-522	103	16	during	during	ADP
cana-522	103	17	training	training	NOUN
cana-522	103	18	.	.	PUNCT
cana-522	104	1	it	it	PRON
cana-522	104	2	is	be	AUX
cana-522	104	3	essential	essential	ADJ
cana-522	104	4	for	for	ADP
cana-522	104	5	evaluating	evaluate	VERB
cana-522	104	6	the	the	DET
cana-522	104	7	method	method	NOUN
cana-522	104	8	efficiency	efficiency	NOUN
cana-522	104	9	and	and	CCONJ
cana-522	104	10	practicality	practicality	NOUN
cana-522	104	11	.	.	PUNCT
cana-522	105	1	memory	memory	NOUN
cana-522	105	2	consumption	consumption	NOUN
cana-522	105	3	:	:	PUNCT
cana-522	105	4	memory	memory	NOUN
cana-522	105	5	consumption	consumption	NOUN
cana-522	105	6	evaluates	evaluate	VERB
cana-522	105	7	the	the	DET
cana-522	105	8	method	method	NOUN
cana-522	105	9	memory	memory	NOUN
cana-522	105	10	requirements	requirement	NOUN
cana-522	105	11	during	during	ADP
cana-522	105	12	training	training	NOUN
cana-522	105	13	and	and	CCONJ
cana-522	105	14	inference	inference	NOUN
cana-522	105	15	.	.	PUNCT
cana-522	106	1	it	it	PRON
cana-522	106	2	crucial	crucial	ADJ
cana-522	106	3	for	for	ADP
cana-522	106	4	assessing	assess	VERB
cana-522	106	5	the	the	DET
cana-522	106	6	method	method	NOUN
cana-522	106	7	resource	resource	NOUN
cana-522	106	8	efficiency	efficiency	NOUN
cana-522	106	9	.	.	PUNCT
cana-522	107	1	figure	figure	VERB
cana-522	107	2	2	2	NUM
cana-522	107	3	:	:	PUNCT
cana-522	107	4	accuracy	accuracy	NOUN
cana-522	107	5	communications	communication	NOUN
cana-522	107	6	on	on	ADP
cana-522	107	7	applied	apply	VERB
cana-522	107	8	nonlinear	nonlinear	ADJ
cana-522	107	9	analysis	analysis	NOUN
cana-522	107	10	issn	issn	NOUN
cana-522	107	11	:	:	PUNCT
cana-522	107	12	1074	1074	NUM
cana-522	107	13	-	-	PUNCT
cana-522	107	14	133x	133x	NUM
cana-522	107	15	vol	vol	NOUN
cana-522	107	16	31	31	NUM
cana-522	107	17	no	no	NOUN
cana-522	107	18	.	.	NOUN
cana-522	107	19	2	2	NUM
cana-522	107	20	(	(	PUNCT
cana-522	107	21	2024	2024	NUM
cana-522	107	22	)	)	PUNCT
cana-522	107	23	103	103	NUM
cana-522	107	24	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	107	25	figure	figure	NOUN
cana-522	107	26	3	3	NUM
cana-522	107	27	:	:	PUNCT
cana-522	107	28	f1	f1	ADJ
cana-522	107	29	-	-	PUNCT
cana-522	107	30	score	score	NOUN
cana-522	107	31	figure	figure	NOUN
cana-522	107	32	4	4	NUM
cana-522	107	33	:	:	PUNCT
cana-522	107	34	gpu	gpu	NOUN
cana-522	107	35	usage	usage	NOUN
cana-522	107	36	(	(	PUNCT
cana-522	107	37	in	in	ADP
cana-522	107	38	hours	hour	NOUN
cana-522	107	39	)	)	PUNCT
cana-522	107	40	communications	communication	NOUN
cana-522	107	41	on	on	ADP
cana-522	107	42	applied	apply	VERB
cana-522	107	43	nonlinear	nonlinear	ADJ
cana-522	107	44	analysis	analysis	NOUN
cana-522	107	45	issn	issn	NOUN
cana-522	107	46	:	:	PUNCT
cana-522	107	47	1074	1074	NUM
cana-522	107	48	-	-	PUNCT
cana-522	107	49	133x	133x	NUM
cana-522	107	50	vol	vol	NOUN
cana-522	107	51	31	31	NUM
cana-522	107	52	no	no	NOUN
cana-522	107	53	.	.	NOUN
cana-522	107	54	2	2	NUM
cana-522	107	55	(	(	PUNCT
cana-522	107	56	2024	2024	NUM
cana-522	107	57	)	)	PUNCT
cana-522	107	58	104	104	NUM
cana-522	107	59	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	107	60	figure	figure	NOUN
cana-522	107	61	5	5	NUM
cana-522	107	62	:	:	PUNCT
cana-522	107	63	training	training	NOUN
cana-522	107	64	time	time	NOUN
cana-522	107	65	(	(	PUNCT
cana-522	107	66	in	in	ADP
cana-522	107	67	hours	hour	NOUN
cana-522	107	68	)	)	PUNCT
cana-522	107	69	figure	figure	NOUN
cana-522	107	70	6	6	NUM
cana-522	107	71	:	:	PUNCT
cana-522	107	72	memory	memory	NOUN
cana-522	107	73	consumption	consumption	NOUN
cana-522	107	74	(	(	PUNCT
cana-522	107	75	in	in	ADP
cana-522	107	76	gb	gb	NOUN
cana-522	107	77	)	)	PUNCT
cana-522	107	78	communications	communication	NOUN
cana-522	107	79	on	on	ADP
cana-522	107	80	applied	apply	VERB
cana-522	107	81	nonlinear	nonlinear	ADJ
cana-522	107	82	analysis	analysis	NOUN
cana-522	107	83	issn	issn	NOUN
cana-522	107	84	:	:	PUNCT
cana-522	107	85	1074	1074	NUM
cana-522	107	86	-	-	PUNCT
cana-522	107	87	133x	133x	NUM
cana-522	107	88	vol	vol	NOUN
cana-522	107	89	31	31	NUM
cana-522	107	90	no	no	NOUN
cana-522	107	91	.	.	NOUN
cana-522	107	92	2	2	NUM
cana-522	107	93	(	(	PUNCT
cana-522	107	94	2024	2024	NUM
cana-522	107	95	)	)	PUNCT
cana-522	107	96	105	105	NUM
cana-522	107	97	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	108	1	the	the	DET
cana-522	108	2	experimental	experimental	ADJ
cana-522	108	3	results	result	NOUN
cana-522	108	4	demonstrate	demonstrate	VERB
cana-522	108	5	the	the	DET
cana-522	108	6	performance	performance	NOUN
cana-522	108	7	of	of	ADP
cana-522	108	8	the	the	DET
cana-522	108	9	proposed	propose	VERB
cana-522	108	10	method	method	NOUN
cana-522	108	11	in	in	ADP
cana-522	108	12	comparison	comparison	NOUN
cana-522	108	13	to	to	ADP
cana-522	108	14	three	three	NUM
cana-522	108	15	existing	exist	VERB
cana-522	108	16	methods	method	NOUN
cana-522	108	17	(	(	PUNCT
cana-522	108	18	cnn	cnn	PROPN
cana-522	108	19	,	,	PUNCT
cana-522	108	20	resnet	resnet	NOUN
cana-522	108	21	and	and	CCONJ
cana-522	108	22	densenet	densenet	NOUN
cana-522	108	23	)	)	PUNCT
cana-522	108	24	.	.	PUNCT
cana-522	109	1	we	we	PRON
cana-522	109	2	analyze	analyze	VERB
cana-522	109	3	the	the	DET
cana-522	109	4	key	key	ADJ
cana-522	109	5	metrics	metric	NOUN
cana-522	109	6	,	,	PUNCT
cana-522	109	7	including	include	VERB
cana-522	109	8	accuracy	accuracy	NOUN
cana-522	109	9	,	,	PUNCT
cana-522	109	10	f1	f1	NOUN
cana-522	109	11	-	-	PUNCT
cana-522	109	12	score	score	NOUN
cana-522	109	13	,	,	PUNCT
cana-522	109	14	gpu	gpu	NOUN
cana-522	109	15	usage	usage	NOUN
cana-522	109	16	,	,	PUNCT
cana-522	109	17	training	training	NOUN
cana-522	109	18	time	time	NOUN
cana-522	109	19	,	,	PUNCT
cana-522	109	20	and	and	CCONJ
cana-522	109	21	memory	memory	NOUN
cana-522	109	22	consumption	consumption	NOUN
cana-522	109	23	,	,	PUNCT
cana-522	109	24	to	to	PART
cana-522	109	25	assess	assess	VERB
cana-522	109	26	the	the	DET
cana-522	109	27	effectiveness	effectiveness	NOUN
cana-522	109	28	and	and	CCONJ
cana-522	109	29	efficiency	efficiency	NOUN
cana-522	109	30	of	of	ADP
cana-522	109	31	the	the	DET
cana-522	109	32	proposed	propose	VERB
cana-522	109	33	approach	approach	NOUN
cana-522	109	34	.	.	PUNCT
cana-522	110	1	the	the	DET
cana-522	110	2	proposed	propose	VERB
cana-522	110	3	method	method	NOUN
cana-522	110	4	consistently	consistently	ADV
cana-522	110	5	outperforms	outperform	VERB
cana-522	110	6	the	the	DET
cana-522	110	7	existing	exist	VERB
cana-522	110	8	methods	method	NOUN
cana-522	110	9	in	in	ADP
cana-522	110	10	terms	term	NOUN
cana-522	110	11	of	of	ADP
cana-522	110	12	accuracy	accuracy	NOUN
cana-522	110	13	across	across	ADP
cana-522	110	14	all	all	DET
cana-522	110	15	datasets	dataset	NOUN
cana-522	110	16	.	.	PUNCT
cana-522	111	1	on	on	ADP
cana-522	111	2	average	average	ADJ
cana-522	111	3	,	,	PUNCT
cana-522	111	4	the	the	DET
cana-522	111	5	proposed	propose	VERB
cana-522	111	6	method	method	NOUN
cana-522	111	7	exhibits	exhibit	VERB
cana-522	111	8	an	an	DET
cana-522	111	9	accuracy	accuracy	NOUN
cana-522	111	10	improvement	improvement	NOUN
cana-522	111	11	of	of	ADP
cana-522	111	12	approximately	approximately	ADV
cana-522	111	13	6	6	NUM
cana-522	111	14	%	%	NOUN
cana-522	111	15	compared	compare	VERB
cana-522	111	16	to	to	ADP
cana-522	111	17	the	the	DET
cana-522	111	18	best	well	ADV
cana-522	111	19	-	-	PUNCT
cana-522	111	20	performing	perform	VERB
cana-522	111	21	existing	exist	VERB
cana-522	111	22	method	method	NOUN
cana-522	111	23	.	.	PUNCT
cana-522	112	1	similar	similar	ADJ
cana-522	112	2	to	to	ADP
cana-522	112	3	accuracy	accuracy	NOUN
cana-522	112	4	,	,	PUNCT
cana-522	112	5	the	the	DET
cana-522	112	6	proposed	propose	VERB
cana-522	112	7	method	method	NOUN
cana-522	112	8	consistently	consistently	ADV
cana-522	112	9	achieves	achieve	VERB
cana-522	112	10	higher	high	ADJ
cana-522	112	11	f1	f1	NOUN
cana-522	112	12	-	-	PUNCT
cana-522	112	13	scores	score	NOUN
cana-522	112	14	across	across	ADP
cana-522	112	15	all	all	DET
cana-522	112	16	datasets	dataset	NOUN
cana-522	112	17	.	.	PUNCT
cana-522	113	1	the	the	DET
cana-522	113	2	average	average	ADJ
cana-522	113	3	f1	f1	ADJ
cana-522	113	4	-	-	PUNCT
cana-522	113	5	score	score	NOUN
cana-522	113	6	improvement	improvement	NOUN
cana-522	113	7	,	,	PUNCT
cana-522	113	8	when	when	SCONJ
cana-522	113	9	compared	compare	VERB
cana-522	113	10	to	to	ADP
cana-522	113	11	the	the	DET
cana-522	113	12	best	well	ADV
cana-522	113	13	-	-	PUNCT
cana-522	113	14	performing	perform	VERB
cana-522	113	15	existing	exist	VERB
cana-522	113	16	method	method	NOUN
cana-522	113	17	,	,	PUNCT
cana-522	113	18	is	be	AUX
cana-522	113	19	approximately	approximately	ADV
cana-522	113	20	7	7	NUM
cana-522	113	21	%	%	NOUN
cana-522	113	22	.	.	PUNCT
cana-522	114	1	in	in	ADP
cana-522	114	2	terms	term	NOUN
cana-522	114	3	of	of	ADP
cana-522	114	4	gpu	gpu	NOUN
cana-522	114	5	usage	usage	NOUN
cana-522	114	6	,	,	PUNCT
cana-522	114	7	the	the	DET
cana-522	114	8	proposed	propose	VERB
cana-522	114	9	method	method	NOUN
cana-522	114	10	demonstrates	demonstrate	VERB
cana-522	114	11	remarkable	remarkable	ADJ
cana-522	114	12	efficiency	efficiency	NOUN
cana-522	114	13	,	,	PUNCT
cana-522	114	14	consuming	consume	VERB
cana-522	114	15	significantly	significantly	ADV
cana-522	114	16	fewer	few	ADJ
cana-522	114	17	gpu	gpu	NOUN
cana-522	114	18	hours	hour	NOUN
cana-522	114	19	compared	compare	VERB
cana-522	114	20	to	to	ADP
cana-522	114	21	existing	exist	VERB
cana-522	114	22	methods	method	NOUN
cana-522	114	23	.	.	PUNCT
cana-522	115	1	the	the	DET
cana-522	115	2	proposed	propose	VERB
cana-522	115	3	method	method	NOUN
cana-522	115	4	,	,	PUNCT
cana-522	115	5	on	on	ADP
cana-522	115	6	average	average	ADJ
cana-522	115	7	,	,	PUNCT
cana-522	115	8	demonstrates	demonstrate	VERB
cana-522	115	9	a	a	DET
cana-522	115	10	reduction	reduction	NOUN
cana-522	115	11	in	in	ADP
cana-522	115	12	gpu	gpu	NOUN
cana-522	115	13	consumption	consumption	NOUN
cana-522	115	14	of	of	ADP
cana-522	115	15	around	around	ADV
cana-522	115	16	30	30	NUM
cana-522	115	17	%	%	NOUN
cana-522	115	18	when	when	SCONJ
cana-522	115	19	compared	compare	VERB
cana-522	115	20	to	to	ADP
cana-522	115	21	the	the	DET
cana-522	115	22	existing	exist	VERB
cana-522	115	23	method	method	NOUN
cana-522	115	24	that	that	PRON
cana-522	115	25	consumes	consume	VERB
cana-522	115	26	the	the	DET
cana-522	115	27	most	most	ADJ
cana-522	115	28	resources	resource	NOUN
cana-522	115	29	.	.	PUNCT
cana-522	116	1	the	the	DET
cana-522	116	2	proposed	propose	VERB
cana-522	116	3	method	method	NOUN
cana-522	116	4	demonstrates	demonstrate	VERB
cana-522	116	5	effective	effective	ADJ
cana-522	116	6	training	training	NOUN
cana-522	116	7	times	time	NOUN
cana-522	116	8	,	,	PUNCT
cana-522	116	9	consistently	consistently	ADV
cana-522	116	10	demonstrating	demonstrate	VERB
cana-522	116	11	a	a	DET
cana-522	116	12	shorter	short	ADJ
cana-522	116	13	convergence	convergence	NOUN
cana-522	116	14	time	time	NOUN
cana-522	116	15	on	on	ADP
cana-522	116	16	the	the	DET
cana-522	116	17	provided	provide	VERB
cana-522	116	18	datasets	dataset	NOUN
cana-522	116	19	.	.	PUNCT
cana-522	117	1	the	the	DET
cana-522	117	2	proposed	propose	VERB
cana-522	117	3	approach	approach	NOUN
cana-522	117	4	,	,	PUNCT
cana-522	117	5	on	on	ADP
cana-522	117	6	average	average	ADJ
cana-522	117	7	,	,	PUNCT
cana-522	117	8	demonstrates	demonstrate	VERB
cana-522	117	9	a	a	DET
cana-522	117	10	reduction	reduction	NOUN
cana-522	117	11	in	in	ADP
cana-522	117	12	training	training	NOUN
cana-522	117	13	time	time	NOUN
cana-522	117	14	of	of	ADP
cana-522	117	15	roughly	roughly	ADV
cana-522	117	16	20	20	NUM
cana-522	117	17	%	%	NOUN
cana-522	117	18	when	when	SCONJ
cana-522	117	19	compared	compare	VERB
cana-522	117	20	to	to	ADP
cana-522	117	21	the	the	DET
cana-522	117	22	approach	approach	NOUN
cana-522	117	23	that	that	PRON
cana-522	117	24	exhibits	exhibit	VERB
cana-522	117	25	the	the	DET
cana-522	117	26	longest	long	ADJ
cana-522	117	27	training	training	NOUN
cana-522	117	28	duration	duration	NOUN
cana-522	117	29	.	.	PUNCT
cana-522	118	1	the	the	DET
cana-522	118	2	memory	memory	NOUN
cana-522	118	3	consumption	consumption	NOUN
cana-522	118	4	of	of	ADP
cana-522	118	5	the	the	DET
cana-522	118	6	proposed	propose	VERB
cana-522	118	7	method	method	NOUN
cana-522	118	8	exhibits	exhibit	VERB
cana-522	118	9	a	a	DET
cana-522	118	10	significant	significant	ADJ
cana-522	118	11	reduction	reduction	NOUN
cana-522	118	12	in	in	ADP
cana-522	118	13	comparison	comparison	NOUN
cana-522	118	14	to	to	ADP
cana-522	118	15	that	that	PRON
cana-522	118	16	of	of	ADP
cana-522	118	17	established	establish	VERB
cana-522	118	18	approaches	approach	NOUN
cana-522	118	19	.	.	PUNCT
cana-522	119	1	the	the	DET
cana-522	119	2	proposed	propose	VERB
cana-522	119	3	approach	approach	NOUN
cana-522	119	4	,	,	PUNCT
cana-522	119	5	on	on	ADP
cana-522	119	6	average	average	ADJ
cana-522	119	7	,	,	PUNCT
cana-522	119	8	exhibits	exhibit	VERB
cana-522	119	9	a	a	DET
cana-522	119	10	reduction	reduction	NOUN
cana-522	119	11	in	in	ADP
cana-522	119	12	memory	memory	NOUN
cana-522	119	13	consumption	consumption	NOUN
cana-522	119	14	of	of	ADP
cana-522	119	15	roughly	roughly	ADV
cana-522	119	16	25	25	NUM
cana-522	119	17	%	%	NOUN
cana-522	119	18	when	when	SCONJ
cana-522	119	19	compared	compare	VERB
cana-522	119	20	to	to	ADP
cana-522	119	21	the	the	DET
cana-522	119	22	present	present	ADJ
cana-522	119	23	approach	approach	NOUN
cana-522	119	24	,	,	PUNCT
cana-522	119	25	which	which	PRON
cana-522	119	26	has	have	VERB
cana-522	119	27	the	the	DET
cana-522	119	28	highest	high	ADJ
cana-522	119	29	memory	memory	NOUN
cana-522	119	30	requirements	requirement	NOUN
cana-522	119	31	.	.	PUNCT
cana-522	120	1	the	the	DET
cana-522	120	2	findings	finding	NOUN
cana-522	120	3	of	of	ADP
cana-522	120	4	this	this	DET
cana-522	120	5	study	study	NOUN
cana-522	120	6	suggest	suggest	VERB
cana-522	120	7	that	that	SCONJ
cana-522	120	8	the	the	DET
cana-522	120	9	proposed	propose	VERB
cana-522	120	10	method	method	NOUN
cana-522	120	11	not	not	PART
cana-522	120	12	only	only	ADV
cana-522	120	13	improves	improve	VERB
cana-522	120	14	the	the	DET
cana-522	120	15	accuracy	accuracy	NOUN
cana-522	120	16	of	of	ADP
cana-522	120	17	predictions	prediction	NOUN
cana-522	120	18	and	and	CCONJ
cana-522	120	19	f1	f1	NOUN
cana-522	120	20	-	-	PUNCT
cana-522	120	21	score	score	NOUN
cana-522	120	22	but	but	CCONJ
cana-522	120	23	also	also	ADV
cana-522	120	24	demonstrates	demonstrate	VERB
cana-522	120	25	notable	notable	ADJ
cana-522	120	26	enhancements	enhancement	NOUN
cana-522	120	27	in	in	ADP
cana-522	120	28	resource	resource	NOUN
cana-522	120	29	efficiency	efficiency	NOUN
cana-522	120	30	.	.	PUNCT
cana-522	121	1	5	5	X
cana-522	121	2	.	.	X
cana-522	121	3	conclusion	conclusion	VERB
cana-522	121	4	the	the	DET
cana-522	121	5	approach	approach	NOUN
cana-522	121	6	that	that	PRON
cana-522	121	7	was	be	AUX
cana-522	121	8	developed	develop	VERB
cana-522	121	9	repeatedly	repeatedly	ADV
cana-522	121	10	has	have	AUX
cana-522	121	11	shown	show	VERB
cana-522	121	12	higher	high	ADJ
cana-522	121	13	accuracy	accuracy	NOUN
cana-522	121	14	and	and	CCONJ
cana-522	121	15	f1	f1	NOUN
cana-522	121	16	-	-	PUNCT
cana-522	121	17	scores	score	NOUN
cana-522	121	18	,	,	PUNCT
cana-522	121	19	which	which	PRON
cana-522	121	20	suggests	suggest	VERB
cana-522	121	21	that	that	SCONJ
cana-522	121	22	it	it	PRON
cana-522	121	23	possesses	possess	VERB
cana-522	121	24	superior	superior	ADJ
cana-522	121	25	predictive	predictive	ADJ
cana-522	121	26	skills	skill	NOUN
cana-522	121	27	.	.	PUNCT
cana-522	122	1	the	the	DET
cana-522	122	2	method	method	NOUN
cana-522	122	3	described	describe	VERB
cana-522	122	4	in	in	ADP
cana-522	122	5	this	this	DET
cana-522	122	6	study	study	NOUN
cana-522	122	7	demonstrated	demonstrate	VERB
cana-522	122	8	notable	notable	ADJ
cana-522	122	9	resource	resource	NOUN
cana-522	122	10	efficiency	efficiency	NOUN
cana-522	122	11	,	,	PUNCT
cana-522	122	12	resulting	result	VERB
cana-522	122	13	in	in	ADP
cana-522	122	14	substantial	substantial	ADJ
cana-522	122	15	reductions	reduction	NOUN
cana-522	122	16	in	in	ADP
cana-522	122	17	gpu	gpu	NOUN
cana-522	122	18	utilization	utilization	NOUN
cana-522	122	19	,	,	PUNCT
cana-522	122	20	training	training	NOUN
cana-522	122	21	duration	duration	NOUN
cana-522	122	22	,	,	PUNCT
cana-522	122	23	and	and	CCONJ
cana-522	122	24	memory	memory	NOUN
cana-522	122	25	usage	usage	NOUN
cana-522	122	26	compared	compare	VERB
cana-522	122	27	to	to	ADP
cana-522	122	28	existing	exist	VERB
cana-522	122	29	methodologies	methodology	NOUN
cana-522	122	30	.	.	PUNCT
cana-522	123	1	the	the	DET
cana-522	123	2	cost	cost	NOUN
cana-522	123	3	-	-	PUNCT
cana-522	123	4	effectiveness	effectiveness	NOUN
cana-522	123	5	of	of	ADP
cana-522	123	6	the	the	DET
cana-522	123	7	proposed	propose	VERB
cana-522	123	8	method	method	NOUN
cana-522	123	9	is	be	AUX
cana-522	123	10	highlighted	highlight	VERB
cana-522	123	11	by	by	ADP
cana-522	123	12	its	its	PRON
cana-522	123	13	resource	resource	NOUN
cana-522	123	14	efficiency	efficiency	NOUN
cana-522	123	15	benefits	benefit	NOUN
cana-522	123	16	,	,	PUNCT
cana-522	123	17	rendering	render	VERB
cana-522	123	18	it	it	PRON
cana-522	123	19	an	an	DET
cana-522	123	20	appealing	appealing	ADJ
cana-522	123	21	choice	choice	NOUN
cana-522	123	22	for	for	ADP
cana-522	123	23	real	real	ADJ
cana-522	123	24	-	-	PUNCT
cana-522	123	25	world	world	NOUN
cana-522	123	26	applications	application	NOUN
cana-522	123	27	that	that	PRON
cana-522	123	28	face	face	VERB
cana-522	123	29	limitations	limitation	NOUN
cana-522	123	30	in	in	ADP
cana-522	123	31	resources	resource	NOUN
cana-522	123	32	.	.	PUNCT
cana-522	124	1	references	reference	NOUN
cana-522	124	2	[	[	X
cana-522	124	3	1	1	NUM
cana-522	124	4	]	]	PUNCT
cana-522	124	5	bani	bani	PROPN
cana-522	124	6	-	-	PUNCT
cana-522	124	7	ahmad	ahmad	PROPN
cana-522	124	8	,	,	PUNCT
cana-522	124	9	s.	s.	PROPN
cana-522	124	10	,	,	PUNCT
cana-522	124	11	&	&	CCONJ
cana-522	124	12	audeh	audeh	PROPN
cana-522	124	13	,	,	PUNCT
cana-522	124	14	a.	a.	PROPN
cana-522	124	15	(	(	PUNCT
cana-522	124	16	2010	2010	NUM
cana-522	124	17	,	,	PUNCT
cana-522	124	18	september	september	PROPN
cana-522	124	19	)	)	PUNCT
cana-522	124	20	.	.	PUNCT
cana-522	125	1	re	re	NOUN
cana-522	125	2	-	-	VERB
cana-522	125	3	engineering	engineering	NOUN
cana-522	125	4	of	of	ADP
cana-522	125	5	multiple	multiple	ADJ
cana-522	125	6	-	-	PUNCT
cana-522	125	7	choice	choice	NOUN
cana-522	125	8	exam	exam	NOUN
cana-522	125	9	-	-	PUNCT
cana-522	125	10	form	form	NOUN
cana-522	125	11	production	production	NOUN
cana-522	125	12	tools	tool	NOUN
cana-522	125	13	:	:	PUNCT
cana-522	125	14	cost	cost	NOUN
cana-522	125	15	-	-	PUNCT
cana-522	125	16	effective	effective	ADJ
cana-522	125	17	and	and	CCONJ
cana-522	125	18	quality	quality	NOUN
cana-522	125	19	-	-	PUNCT
cana-522	125	20	assurance	assurance	NOUN
cana-522	125	21	approach	approach	NOUN
cana-522	125	22	.	.	PUNCT
cana-522	126	1	in	in	ADP
cana-522	126	2	2010	2010	NUM
cana-522	126	3	international	international	ADJ
cana-522	126	4	conference	conference	NOUN
cana-522	126	5	on	on	ADP
cana-522	126	6	educational	educational	ADJ
cana-522	126	7	and	and	CCONJ
cana-522	126	8	information	information	NOUN
cana-522	126	9	technology	technology	NOUN
cana-522	126	10	(	(	PUNCT
cana-522	126	11	vol	vol	NOUN
cana-522	126	12	.	.	NOUN
cana-522	126	13	3	3	NUM
cana-522	126	14	,	,	PUNCT
cana-522	126	15	pp	pp	ADJ
cana-522	126	16	.	.	PUNCT
cana-522	127	1	v3	v3	PROPN
cana-522	127	2	-	-	PUNCT
cana-522	127	3	260	260	NUM
cana-522	127	4	)	)	PUNCT
cana-522	127	5	.	.	PUNCT
cana-522	128	1	ieee	ieee	NOUN
cana-522	128	2	.	.	PUNCT
cana-522	129	1	[	[	X
cana-522	129	2	2	2	NUM
cana-522	129	3	]	]	SYM
cana-522	129	4	stoppa	stoppa	PROPN
cana-522	129	5	,	,	PUNCT
cana-522	129	6	a.	a.	NOUN
cana-522	129	7	,	,	PUNCT
cana-522	129	8	&	&	CCONJ
cana-522	129	9	hess	hess	PROPN
cana-522	129	10	,	,	PUNCT
cana-522	129	11	u.	u.	PROPN
cana-522	129	12	(	(	PUNCT
cana-522	129	13	2003	2003	NUM
cana-522	129	14	,	,	PUNCT
cana-522	129	15	june	june	PROPN
cana-522	129	16	)	)	PUNCT
cana-522	129	17	.	.	PUNCT
cana-522	130	1	design	design	NOUN
cana-522	130	2	and	and	CCONJ
cana-522	130	3	use	use	NOUN
cana-522	130	4	of	of	ADP
cana-522	130	5	weather	weather	NOUN
cana-522	130	6	derivatives	derivative	NOUN
cana-522	130	7	in	in	ADP
cana-522	130	8	agricultural	agricultural	ADJ
cana-522	130	9	policies	policy	NOUN
cana-522	130	10	:	:	PUNCT
cana-522	130	11	the	the	DET
cana-522	130	12	case	case	NOUN
cana-522	130	13	of	of	ADP
cana-522	130	14	rainfall	rainfall	NOUN
cana-522	130	15	index	index	NOUN
cana-522	130	16	insurance	insurance	NOUN
cana-522	130	17	in	in	ADP
cana-522	130	18	morocco	morocco	PROPN
cana-522	130	19	.	.	PUNCT
cana-522	131	1	in	in	ADP
cana-522	131	2	international	international	ADJ
cana-522	131	3	conference	conference	NOUN
cana-522	131	4	“	"	PUNCT
cana-522	131	5	agricultural	agricultural	ADJ
cana-522	131	6	policy	policy	NOUN
cana-522	131	7	reform	reform	NOUN
cana-522	131	8	and	and	CCONJ
cana-522	131	9	the	the	DET
cana-522	131	10	wto	wto	PROPN
cana-522	131	11	:	:	PUNCT
cana-522	131	12	where	where	SCONJ
cana-522	131	13	are	be	AUX
cana-522	131	14	we	we	PRON
cana-522	131	15	heading	head	VERB
cana-522	131	16	”	"	PUNCT
cana-522	131	17	,	,	PUNCT
cana-522	131	18	capri	capri	NOUN
cana-522	131	19	(	(	PUNCT
cana-522	131	20	italy	italy	PROPN
cana-522	131	21	)	)	PUNCT
cana-522	131	22	.	.	PUNCT
cana-522	132	1	[	[	X
cana-522	132	2	3	3	NUM
cana-522	132	3	]	]	X
cana-522	132	4	siil	siil	ADJ
cana-522	132	5	,	,	PUNCT
cana-522	132	6	k.	k.	PROPN
cana-522	132	7	,	,	PUNCT
cana-522	132	8	rubin	rubin	PROPN
cana-522	132	9	,	,	PUNCT
cana-522	132	10	a.	a.	NOUN
cana-522	132	11	,	,	PUNCT
cana-522	132	12	elder	elder	NOUN
cana-522	132	13	,	,	PUNCT
cana-522	132	14	m.	m.	NOUN
cana-522	132	15	,	,	PUNCT
cana-522	132	16	dahbura	dahbura	NOUN
cana-522	132	17	,	,	PUNCT
cana-522	132	18	a.	a.	NOUN
cana-522	132	19	,	,	PUNCT
cana-522	132	20	green	green	ADJ
cana-522	132	21	,	,	PUNCT
cana-522	132	22	m.	m.	NOUN
cana-522	132	23	,	,	PUNCT
cana-522	132	24	&	&	CCONJ
cana-522	132	25	watkins	watkins	PROPN
cana-522	132	26	,	,	PUNCT
cana-522	132	27	l.	l.	PROPN
cana-522	132	28	(	(	PUNCT
cana-522	132	29	2021	2021	NUM
cana-522	132	30	,	,	PUNCT
cana-522	132	31	november	november	PROPN
cana-522	132	32	)	)	PUNCT
cana-522	132	33	.	.	PUNCT
cana-522	133	1	cost	cost	NOUN
cana-522	133	2	-	-	PUNCT
cana-522	133	3	effective	effective	ADJ
cana-522	133	4	mission	mission	NOUN
cana-522	133	5	assurance	assurance	NOUN
cana-522	133	6	engineering	engineering	NOUN
cana-522	133	7	through	through	ADP
cana-522	133	8	simulation	simulation	NOUN
cana-522	133	9	.	.	PUNCT
cana-522	134	1	in	in	ADP
cana-522	134	2	2021	2021	NUM
cana-522	134	3	ieee	ieee	NOUN
cana-522	134	4	international	international	ADJ
cana-522	134	5	conference	conference	NOUN
cana-522	134	6	on	on	ADP
cana-522	134	7	internet	internet	NOUN
cana-522	134	8	of	of	ADP
cana-522	134	9	things	thing	NOUN
cana-522	134	10	and	and	CCONJ
cana-522	134	11	intelligence	intelligence	NOUN
cana-522	134	12	systems	system	NOUN
cana-522	134	13	(	(	PUNCT
cana-522	134	14	iotais	iotais	PROPN
cana-522	134	15	)	)	PUNCT
cana-522	134	16	(	(	PUNCT
cana-522	134	17	pp	pp	X
cana-522	134	18	.	.	PUNCT
cana-522	135	1	67	67	NUM
cana-522	135	2	-	-	SYM
cana-522	135	3	72	72	NUM
cana-522	135	4	)	)	PUNCT
cana-522	135	5	.	.	PUNCT
cana-522	136	1	ieee	ieee	PROPN
cana-522	136	2	.	.	PUNCT
cana-522	137	1	[	[	X
cana-522	137	2	4	4	NUM
cana-522	137	3	]	]	X
cana-522	137	4	brown	brown	PROPN
cana-522	137	5	,	,	PUNCT
cana-522	137	6	l.	l.	PROPN
cana-522	137	7	d.	d.	PROPN
cana-522	137	8	,	,	PUNCT
cana-522	137	9	franco	franco	PROPN
cana-522	137	10	,	,	PUNCT
cana-522	137	11	l.	l.	PROPN
cana-522	137	12	m.	m.	PROPN
cana-522	137	13	,	,	PUNCT
cana-522	137	14	rafeh	rafeh	PROPN
cana-522	137	15	,	,	PUNCT
cana-522	137	16	n.	n.	NOUN
cana-522	137	17	,	,	PUNCT
cana-522	137	18	&	&	CCONJ
cana-522	137	19	hatzell	hatzell	PROPN
cana-522	137	20	,	,	PUNCT
cana-522	137	21	t.	t.	PROPN
cana-522	137	22	(	(	PUNCT
cana-522	137	23	1998	1998	NUM
cana-522	137	24	)	)	PUNCT
cana-522	137	25	.	.	PUNCT
cana-522	138	1	quality	quality	NOUN
cana-522	138	2	assurance	assurance	NOUN
cana-522	138	3	of	of	ADP
cana-522	138	4	health	health	NOUN
cana-522	138	5	care	care	NOUN
cana-522	138	6	in	in	ADP
cana-522	138	7	developing	develop	VERB
cana-522	138	8	countries	country	NOUN
cana-522	138	9	.	.	PUNCT
cana-522	139	1	quality	quality	NOUN
cana-522	139	2	assurance	assurance	NOUN
cana-522	139	3	project	project	NOUN
cana-522	139	4	,	,	PUNCT
cana-522	139	5	center	center	NOUN
cana-522	139	6	for	for	ADP
cana-522	139	7	human	human	ADJ
cana-522	139	8	services	service	NOUN
cana-522	139	9	.	.	PUNCT
cana-522	140	1	communications	communication	NOUN
cana-522	140	2	on	on	ADP
cana-522	140	3	applied	apply	VERB
cana-522	140	4	nonlinear	nonlinear	ADJ
cana-522	140	5	analysis	analysis	NOUN
cana-522	140	6	issn	issn	NOUN
cana-522	140	7	:	:	PUNCT
cana-522	140	8	1074	1074	NUM
cana-522	140	9	-	-	PUNCT
cana-522	140	10	133x	133x	NUM
cana-522	140	11	vol	vol	NOUN
cana-522	140	12	31	31	NUM
cana-522	140	13	no	no	NOUN
cana-522	140	14	.	.	NOUN
cana-522	140	15	2	2	NUM
cana-522	140	16	(	(	PUNCT
cana-522	140	17	2024	2024	NUM
cana-522	140	18	)	)	PUNCT
cana-522	140	19	106	106	NUM
cana-522	140	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-522	141	1	[	[	X
cana-522	141	2	5	5	NUM
cana-522	141	3	]	]	X
cana-522	141	4	rana	rana	PROPN
cana-522	141	5	,	,	PUNCT
cana-522	141	6	g.	g.	PROPN
cana-522	141	7	s.	s.	PROPN
cana-522	141	8	m.	m.	PROPN
cana-522	141	9	,	,	PUNCT
cana-522	141	10	khan	khan	PROPN
cana-522	141	11	,	,	PUNCT
cana-522	141	12	a.	a.	NOUN
cana-522	141	13	a.	a.	NOUN
cana-522	141	14	m.	m.	NOUN
cana-522	141	15	,	,	PUNCT
cana-522	141	16	hoque	hoque	NOUN
cana-522	141	17	,	,	PUNCT
cana-522	141	18	m.	m.	NOUN
cana-522	141	19	n.	n.	PROPN
cana-522	141	20	,	,	PUNCT
cana-522	141	21	&	&	CCONJ
cana-522	141	22	mitul	mitul	PROPN
cana-522	141	23	,	,	PUNCT
cana-522	141	24	a.	a.	PROPN
cana-522	141	25	f.	f.	PROPN
cana-522	141	26	(	(	PUNCT
cana-522	141	27	2013	2013	NUM
cana-522	141	28	,	,	PUNCT
cana-522	141	29	december	december	PROPN
cana-522	141	30	)	)	PUNCT
cana-522	141	31	.	.	PUNCT
cana-522	142	1	design	design	NOUN
cana-522	142	2	and	and	CCONJ
cana-522	142	3	implementation	implementation	NOUN
cana-522	142	4	of	of	ADP
cana-522	142	5	a	a	DET
cana-522	142	6	gsm	gsm	NOUN
cana-522	142	7	based	base	VERB
cana-522	142	8	remote	remote	ADJ
cana-522	142	9	home	home	NOUN
cana-522	142	10	security	security	NOUN
cana-522	142	11	and	and	CCONJ
cana-522	142	12	appliance	appliance	NOUN
cana-522	142	13	control	control	NOUN
cana-522	142	14	system	system	NOUN
cana-522	142	15	.	.	PUNCT
cana-522	143	1	in	in	ADP
cana-522	143	2	2013	2013	NUM
cana-522	143	3	2nd	2nd	ADJ
cana-522	143	4	international	international	ADJ
cana-522	143	5	conference	conference	NOUN
cana-522	143	6	on	on	ADP
cana-522	143	7	advances	advance	NOUN
cana-522	143	8	in	in	ADP
cana-522	143	9	electrical	electrical	ADJ
cana-522	143	10	engineering	engineering	NOUN
cana-522	143	11	(	(	PUNCT
cana-522	143	12	icaee	icaee	PROPN
cana-522	143	13	)	)	PUNCT
cana-522	143	14	(	(	PUNCT
cana-522	143	15	pp	pp	X
cana-522	143	16	.	.	PUNCT
cana-522	143	17	291	291	NUM
cana-522	143	18	-	-	SYM
cana-522	143	19	295	295	NUM
cana-522	143	20	)	)	PUNCT
cana-522	143	21	.	.	PUNCT
cana-522	144	1	ieee	ieee	NOUN
cana-522	144	2	.	.	PUNCT
cana-522	145	1	[	[	X
cana-522	145	2	6	6	NUM
cana-522	145	3	]	]	X
cana-522	145	4	carlton	carlton	PROPN
cana-522	145	5	,	,	PUNCT
cana-522	145	6	a.	a.	NOUN
cana-522	145	7	g.	g.	PROPN
cana-522	145	8	,	,	PUNCT
cana-522	145	9	&	&	CCONJ
cana-522	145	10	teitz	teitz	NOUN
cana-522	145	11	,	,	PUNCT
cana-522	145	12	a.	a.	NOUN
cana-522	145	13	(	(	PUNCT
cana-522	145	14	2002	2002	NUM
cana-522	145	15	)	)	PUNCT
cana-522	145	16	.	.	PUNCT
cana-522	146	1	design	design	NOUN
cana-522	146	2	of	of	ADP
cana-522	146	3	a	a	DET
cana-522	146	4	cost	cost	NOUN
cana-522	146	5	-	-	PUNCT
cana-522	146	6	effective	effective	ADJ
cana-522	146	7	weighing	weighing	NOUN
cana-522	146	8	facility	facility	NOUN
cana-522	146	9	for	for	ADP
cana-522	146	10	pm2	pm2	NOUN
cana-522	146	11	.	.	PUNCT
cana-522	147	1	5	5	NUM
cana-522	147	2	quality	quality	NOUN
cana-522	147	3	assurance	assurance	NOUN
cana-522	147	4	.	.	PUNCT
cana-522	148	1	journal	journal	NOUN
cana-522	148	2	of	of	ADP
cana-522	148	3	the	the	DET
cana-522	148	4	air	air	PROPN
cana-522	148	5	&	&	CCONJ
cana-522	148	6	waste	waste	PROPN
cana-522	148	7	management	management	PROPN
cana-522	148	8	association	association	PROPN
cana-522	148	9	,	,	PUNCT
cana-522	148	10	52(5	52(5	NUM
cana-522	148	11	)	)	PUNCT
cana-522	148	12	,	,	PUNCT
cana-522	148	13	506	506	NUM
cana-522	148	14	-	-	SYM
cana-522	148	15	510	510	NUM
cana-522	148	16	.	.	PUNCT
cana-522	149	1	[	[	X
cana-522	149	2	7	7	NUM
cana-522	149	3	]	]	X
cana-522	149	4	faden	faden	ADJ
cana-522	149	5	,	,	PUNCT
cana-522	149	6	l.	l.	PROPN
cana-522	149	7	,	,	PUNCT
cana-522	149	8	vialle	vialle	NOUN
cana-522	149	9	-	-	PUNCT
cana-522	149	10	valentin	valentin	PROPN
cana-522	149	11	,	,	PUNCT
cana-522	149	12	c.	c.	PROPN
cana-522	149	13	,	,	PUNCT
cana-522	149	14	ross	ross	PROPN
cana-522	149	15	-	-	PUNCT
cana-522	149	16	degnan	degnan	PROPN
cana-522	149	17	,	,	PUNCT
cana-522	149	18	d.	d.	PROPN
cana-522	149	19	,	,	PUNCT
cana-522	149	20	&	&	CCONJ
cana-522	149	21	wagner	wagner	PROPN
cana-522	149	22	,	,	PUNCT
cana-522	149	23	a.	a.	PROPN
cana-522	149	24	(	(	PUNCT
cana-522	149	25	2011	2011	NUM
cana-522	149	26	)	)	PUNCT
cana-522	149	27	.	.	PUNCT
cana-522	150	1	active	active	ADJ
cana-522	150	2	pharmaceutical	pharmaceutical	ADJ
cana-522	150	3	management	management	NOUN
cana-522	150	4	strategies	strategy	NOUN
cana-522	150	5	of	of	ADP
cana-522	150	6	health	health	NOUN
cana-522	150	7	insurance	insurance	NOUN
cana-522	150	8	systems	system	NOUN
cana-522	150	9	to	to	PART
cana-522	150	10	improve	improve	VERB
cana-522	150	11	cost	cost	NOUN
cana-522	150	12	-	-	PUNCT
cana-522	150	13	effective	effective	ADJ
cana-522	150	14	use	use	NOUN
cana-522	150	15	of	of	ADP
cana-522	150	16	medicines	medicine	NOUN
cana-522	150	17	in	in	ADP
cana-522	150	18	lowand	lowand	ADJ
cana-522	150	19	middle	middle	ADJ
cana-522	150	20	-	-	PUNCT
cana-522	150	21	income	income	NOUN
cana-522	150	22	countries	country	NOUN
cana-522	150	23	:	:	PUNCT
cana-522	150	24	a	a	DET
cana-522	150	25	systematic	systematic	ADJ
cana-522	150	26	review	review	NOUN
cana-522	150	27	of	of	ADP
cana-522	150	28	current	current	ADJ
cana-522	150	29	evidence	evidence	NOUN
cana-522	150	30	.	.	PUNCT
cana-522	151	1	health	health	NOUN
cana-522	151	2	policy	policy	NOUN
cana-522	151	3	,	,	PUNCT
cana-522	151	4	100(2	100(2	NUM
cana-522	151	5	-	-	SYM
cana-522	151	6	3	3	NUM
cana-522	151	7	)	)	PUNCT
cana-522	151	8	,	,	PUNCT
cana-522	151	9	134143	134143	NUM
cana-522	151	10	.	.	PUNCT
cana-522	152	1	[	[	X
cana-522	152	2	8	8	NUM
cana-522	152	3	]	]	SYM
cana-522	152	4	croll	croll	NOUN
cana-522	152	5	,	,	PUNCT
cana-522	152	6	p.	p.	PROPN
cana-522	152	7	r.	r.	PROPN
cana-522	152	8	(	(	PUNCT
cana-522	152	9	2010	2010	NUM
cana-522	152	10	,	,	PUNCT
cana-522	152	11	april	april	PROPN
cana-522	152	12	)	)	PUNCT
cana-522	152	13	.	.	PUNCT
cana-522	153	1	system	system	NOUN
cana-522	153	2	and	and	CCONJ
cana-522	153	3	software	software	NOUN
cana-522	153	4	assurance	assurance	NOUN
cana-522	153	5	—	—	PUNCT
cana-522	153	6	rationalizing	rationalize	VERB
cana-522	153	7	governance	governance	NOUN
cana-522	153	8	,	,	PUNCT
cana-522	153	9	engineering	engineering	NOUN
cana-522	153	10	practice	practice	NOUN
cana-522	153	11	,	,	PUNCT
cana-522	153	12	and	and	CCONJ
cana-522	153	13	engineering	engineering	NOUN
cana-522	153	14	economics	economic	NOUN
cana-522	153	15	.	.	PUNCT
cana-522	154	1	in	in	ADP
cana-522	154	2	2010	2010	NUM
cana-522	154	3	ieee	ieee	NOUN
cana-522	154	4	international	international	PROPN
cana-522	154	5	systems	systems	PROPN
cana-522	154	6	conference	conference	NOUN
cana-522	154	7	(	(	PUNCT
cana-522	154	8	pp	pp	ADJ
cana-522	154	9	.	.	PUNCT
cana-522	154	10	604	604	NUM
cana-522	154	11	-	-	NUM
cana-522	154	12	609	609	NUM
cana-522	154	13	)	)	PUNCT
cana-522	154	14	.	.	PUNCT
cana-522	155	1	ieee	ieee	NOUN
cana-522	155	2	.	.	PUNCT
cana-522	156	1	[	[	X
cana-522	156	2	9	9	NUM
cana-522	156	3	]	]	X
cana-522	156	4	thummula	thummula	NOUN
cana-522	156	5	,	,	PUNCT
cana-522	156	6	e.	e.	PROPN
cana-522	156	7	,	,	PUNCT
cana-522	156	8	yadav	yadav	PROPN
cana-522	156	9	,	,	PUNCT
cana-522	156	10	r.	r.	PROPN
cana-522	156	11	k.	k.	PROPN
cana-522	156	12	,	,	PUNCT
cana-522	156	13	&	&	CCONJ
cana-522	156	14	david	david	PROPN
cana-522	156	15	,	,	PUNCT
cana-522	156	16	a.	a.	PROPN
cana-522	156	17	(	(	PUNCT
cana-522	156	18	2019	2019	NUM
cana-522	156	19	)	)	PUNCT
cana-522	156	20	.	.	PUNCT
cana-522	157	1	a	a	DET
cana-522	157	2	cost	cost	NOUN
cana-522	157	3	-	-	PUNCT
cana-522	157	4	effective	effective	ADJ
cana-522	157	5	technique	technique	NOUN
cana-522	157	6	to	to	PART
cana-522	157	7	avoid	avoid	VERB
cana-522	157	8	communication	communication	NOUN
cana-522	157	9	and	and	CCONJ
cana-522	157	10	computation	computation	NOUN
cana-522	157	11	overhead	overhead	ADV
cana-522	157	12	in	in	ADP
cana-522	157	13	vehicle	vehicle	NOUN
cana-522	157	14	insurance	insurance	NOUN
cana-522	157	15	database	database	NOUN
cana-522	157	16	for	for	ADP
cana-522	157	17	online	online	ADJ
cana-522	157	18	record	record	NOUN
cana-522	157	19	monitoring	monitoring	NOUN
cana-522	157	20	.	.	PUNCT
cana-522	158	1	international	international	ADJ
cana-522	158	2	journal	journal	PROPN
cana-522	158	3	of	of	ADP
cana-522	158	4	mechanical	mechanical	ADJ
cana-522	158	5	and	and	CCONJ
cana-522	158	6	production	production	NOUN
cana-522	158	7	engineering	engineering	NOUN
cana-522	158	8	research	research	NOUN
cana-522	158	9	and	and	CCONJ
cana-522	158	10	development	development	NOUN
cana-522	158	11	(	(	PUNCT
cana-522	158	12	ijmperd	ijmperd	NOUN
cana-522	158	13	)	)	PUNCT
cana-522	158	14	,	,	PUNCT
cana-522	158	15	9(2	9(2	NUM
cana-522	158	16	)	)	PUNCT
cana-522	158	17	,	,	PUNCT
cana-522	158	18	711722	711722	NUM
cana-522	158	19	.	.	PUNCT
cana-522	159	1	[	[	X
cana-522	159	2	10	10	NUM
cana-522	159	3	]	]	X
cana-522	159	4	tasisa	tasisa	NOUN
cana-522	159	5	,	,	PUNCT
cana-522	159	6	b.	b.	PROPN
cana-522	159	7	y.	y.	PROPN
cana-522	159	8	,	,	PUNCT
cana-522	159	9	jule	jule	PROPN
cana-522	159	10	,	,	PUNCT
cana-522	159	11	l.	l.	PROPN
cana-522	159	12	t.	t.	PROPN
cana-522	159	13	,	,	PUNCT
cana-522	159	14	saravanan	saravanan	PROPN
cana-522	159	15	,	,	PUNCT
cana-522	159	16	v.	v.	PROPN
cana-522	159	17	,	,	PUNCT
cana-522	159	18	&	&	CCONJ
cana-522	159	19	john	john	PROPN
cana-522	159	20	,	,	PUNCT
cana-522	159	21	p.	p.	PROPN
cana-522	159	22	(	(	PUNCT
cana-522	159	23	2021	2021	NUM
cana-522	159	24	)	)	PUNCT
cana-522	159	25	.	.	PUNCT
cana-522	160	1	machine	machine	NOUN
cana-522	160	2	learning	learning	NOUN
cana-522	160	3	based	base	VERB
cana-522	160	4	massive	massive	ADJ
cana-522	160	5	leaf	leaf	NOUN
cana-522	160	6	falling	fall	VERB
cana-522	160	7	detection	detection	NOUN
cana-522	160	8	for	for	ADP
cana-522	160	9	managing	manage	VERB
cana-522	160	10	the	the	DET
cana-522	160	11	waste	waste	NOUN
cana-522	160	12	disposal	disposal	NOUN
cana-522	160	13	efficiently	efficiently	ADV
cana-522	160	14	.	.	PUNCT
cana-522	161	1	journal	journal	PROPN
cana-522	161	2	of	of	ADP
cana-522	161	3	contemporary	contemporary	ADJ
cana-522	161	4	issues	issue	NOUN
cana-522	161	5	in	in	ADP
cana-522	161	6	businessand	businessand	NOUN
cana-522	161	7	government	government	NOUN
cana-522	161	8	vol	vol	NOUN
cana-522	161	9	,	,	PUNCT
cana-522	161	10	27(1	27(1	NUM
cana-522	161	11	)	)	PUNCT
cana-522	161	12	.	.	PUNCT
cana-522	162	1	[	[	X
cana-522	162	2	11	11	NUM
cana-522	162	3	]	]	X
cana-522	162	4	wang	wang	PROPN
cana-522	162	5	,	,	PUNCT
cana-522	162	6	j.	j.	PROPN
cana-522	162	7	,	,	PUNCT
cana-522	162	8	ipeirotis	ipeirotis	PROPN
cana-522	162	9	,	,	PUNCT
cana-522	162	10	p.	p.	NOUN
cana-522	162	11	g.	g.	PROPN
cana-522	162	12	,	,	PUNCT
cana-522	162	13	&	&	CCONJ
cana-522	162	14	provost	provost	PROPN
cana-522	162	15	,	,	PUNCT
cana-522	162	16	f.	f.	PROPN
cana-522	162	17	(	(	PUNCT
cana-522	162	18	2017	2017	NUM
cana-522	162	19	)	)	PUNCT
cana-522	162	20	.	.	PUNCT
cana-522	163	1	cost	cost	NOUN
cana-522	163	2	-	-	PUNCT
cana-522	163	3	effective	effective	ADJ
cana-522	163	4	quality	quality	NOUN
cana-522	163	5	assurance	assurance	NOUN
cana-522	163	6	in	in	ADP
cana-522	163	7	crowd	crowd	NOUN
cana-522	163	8	labeling	labeling	NOUN
cana-522	163	9	.	.	PUNCT
cana-522	164	1	information	information	NOUN
cana-522	164	2	systems	system	NOUN
cana-522	164	3	research	research	NOUN
cana-522	164	4	,	,	PUNCT
cana-522	164	5	28(1	28(1	NOUN
cana-522	164	6	)	)	PUNCT
cana-522	164	7	,	,	PUNCT
cana-522	164	8	137	137	NUM
cana-522	164	9	-	-	SYM
cana-522	164	10	158	158	NUM
cana-522	164	11	.	.	PUNCT
cana-522	165	1	[	[	X
cana-522	165	2	12	12	NUM
cana-522	165	3	]	]	PUNCT
cana-522	165	4	tamana	tamana	PROPN
cana-522	165	5	,	,	PUNCT
cana-522	165	6	c.	c.	PROPN
cana-522	165	7	g.	g.	PROPN
cana-522	165	8	,	,	PUNCT
cana-522	165	9	ravishankar	ravishankar	NOUN
cana-522	165	10	,	,	PUNCT
cana-522	165	11	t.	t.	PROPN
cana-522	165	12	n.	n.	PROPN
cana-522	165	13	,	,	PUNCT
cana-522	165	14	bakala	bakala	PROPN
cana-522	165	15	,	,	PUNCT
cana-522	165	16	g.	g.	PROPN
cana-522	165	17	k.	k.	PROPN
cana-522	165	18	,	,	PUNCT
cana-522	165	19	lawrence	lawrence	PROPN
cana-522	165	20	,	,	PUNCT
cana-522	165	21	t.	t.	PROPN
cana-522	165	22	s.	s.	PROPN
cana-522	165	23	,	,	PUNCT
cana-522	165	24	karthikeyan	karthikeyan	PROPN
cana-522	165	25	,	,	PUNCT
cana-522	165	26	s.	s.	PROPN
cana-522	165	27	,	,	PUNCT
cana-522	165	28	&	&	CCONJ
cana-522	165	29	saravanan	saravanan	PROPN
cana-522	165	30	,	,	PUNCT
cana-522	165	31	v.	v.	PROPN
cana-522	165	32	(	(	PUNCT
cana-522	165	33	2021	2021	NUM
cana-522	165	34	)	)	PUNCT
cana-522	165	35	.	.	PUNCT
cana-522	166	1	building	build	VERB
cana-522	166	2	a	a	DET
cana-522	166	3	smart	smart	ADJ
cana-522	166	4	hydroponic	hydroponic	NOUN
cana-522	166	5	farming	farming	NOUN
cana-522	166	6	with	with	ADP
cana-522	166	7	aquaculture	aquaculture	NOUN
cana-522	166	8	using	use	VERB
cana-522	166	9	iot	iot	NOUN
cana-522	166	10	and	and	CCONJ
cana-522	166	11	big	big	ADJ
cana-522	166	12	data	datum	NOUN
cana-522	166	13	.	.	PUNCT
cana-522	167	1	int	int	NOUN
cana-522	167	2	.	.	PUNCT
cana-522	168	1	j.	j.	PROPN
cana-522	168	2	of	of	ADP
cana-522	168	3	aquatic	aquatic	ADJ
cana-522	168	4	science	science	NOUN
cana-522	168	5	,	,	PUNCT
cana-522	168	6	12(2	12(2	NUM
cana-522	168	7	)	)	PUNCT
cana-522	168	8	,	,	PUNCT
cana-522	168	9	1928	1928	NUM
cana-522	168	10	-	-	SYM
cana-522	168	11	1936	1936	NUM
cana-522	168	12	.	.	PUNCT
cana-522	169	1	[	[	X
cana-522	169	2	13	13	NUM
cana-522	169	3	]	]	X
cana-522	169	4	hazell	hazell	PROPN
cana-522	169	5	,	,	PUNCT
cana-522	169	6	p.	p.	PROPN
cana-522	169	7	,	,	PUNCT
cana-522	169	8	&	&	CCONJ
cana-522	169	9	varangis	varangis	PROPN
cana-522	169	10	,	,	PUNCT
cana-522	169	11	p.	p.	NOUN
cana-522	169	12	(	(	PUNCT
cana-522	169	13	2020	2020	NUM
cana-522	169	14	)	)	PUNCT
cana-522	169	15	.	.	PUNCT
cana-522	170	1	best	good	ADJ
cana-522	170	2	practices	practice	NOUN
cana-522	170	3	for	for	ADP
cana-522	170	4	subsidizing	subsidize	VERB
cana-522	170	5	agricultural	agricultural	ADJ
cana-522	170	6	insurance	insurance	NOUN
cana-522	170	7	.	.	PUNCT
cana-522	171	1	global	global	ADJ
cana-522	171	2	food	food	NOUN
cana-522	171	3	security	security	NOUN
cana-522	171	4	,	,	PUNCT
cana-522	171	5	25	25	NUM
cana-522	171	6	,	,	PUNCT
cana-522	171	7	100326	100326	NUM
cana-522	171	8	.	.	PUNCT