id	sid	tid	token	lemma	pos
easat-5993	1	1	edelweiss	edelweiss	PROPN
easat-5993	1	2	applied	apply	VERB
easat-5993	1	3	science	science	NOUN
easat-5993	1	4	and	and	CCONJ
easat-5993	1	5	technology	technology	NOUN
easat-5993	1	6	issn	issn	PROPN
easat-5993	1	7	:	:	PUNCT
easat-5993	1	8	2576	2576	NUM
easat-5993	1	9	-	-	SYM
easat-5993	1	10	8484	8484	NUM
easat-5993	1	11	vol	vol	NOUN
easat-5993	1	12	.	.	PROPN
easat-5993	2	1	9	9	NUM
easat-5993	2	2	,	,	PUNCT
easat-5993	2	3	no	no	INTJ
easat-5993	2	4	.	.	NOUN
easat-5993	2	5	4	4	NUM
easat-5993	2	6	,	,	PUNCT
easat-5993	2	7	379	379	NUM
easat-5993	2	8	-	-	SYM
easat-5993	2	9	394	394	NUM
easat-5993	2	10	2025	2025	NUM
easat-5993	2	11	publisher	publisher	NOUN
easat-5993	2	12	:	:	PUNCT
easat-5993	2	13	learning	learn	VERB
easat-5993	2	14	gate	gate	NOUN
easat-5993	2	15	doi	doi	PROPN
easat-5993	2	16	:	:	PUNCT
easat-5993	2	17	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	2	18	©	©	ADP
easat-5993	2	19	2025	2025	NUM
easat-5993	2	20	by	by	ADP
easat-5993	2	21	the	the	DET
easat-5993	2	22	authors	author	NOUN
easat-5993	2	23	;	;	PUNCT
easat-5993	2	24	licensee	licensee	PROPN
easat-5993	2	25	learning	learning	NOUN
easat-5993	2	26	gate	gate	NOUN
easat-5993	3	1	©	©	PROPN
easat-5993	3	2	2025	2025	NUM
easat-5993	3	3	by	by	ADP
easat-5993	3	4	the	the	DET
easat-5993	3	5	authors	author	NOUN
easat-5993	3	6	;	;	PUNCT
easat-5993	3	7	licensee	licensee	PROPN
easat-5993	3	8	learning	learning	NOUN
easat-5993	3	9	gate	gate	NOUN
easat-5993	3	10	history	history	NOUN
easat-5993	3	11	:	:	PUNCT
easat-5993	3	12	received	receive	VERB
easat-5993	3	13	:	:	PUNCT
easat-5993	3	14	13	13	NUM
easat-5993	3	15	january	january	NOUN
easat-5993	3	16	2025	2025	NUM
easat-5993	3	17	;	;	PUNCT
easat-5993	3	18	revised	revise	VERB
easat-5993	3	19	:	:	PUNCT
easat-5993	3	20	19	19	NUM
easat-5993	3	21	march	march	NOUN
easat-5993	3	22	2025	2025	NUM
easat-5993	3	23	;	;	PUNCT
easat-5993	3	24	accepted	accept	VERB
easat-5993	3	25	:	:	PUNCT
easat-5993	3	26	24	24	NUM
easat-5993	3	27	march	march	NOUN
easat-5993	3	28	2025	2025	NUM
easat-5993	3	29	;	;	PUNCT
easat-5993	3	30	published	publish	VERB
easat-5993	3	31	:	:	PUNCT
easat-5993	3	32	5	5	NUM
easat-5993	3	33	april	april	PROPN
easat-5993	3	34	2025	2025	NUM
easat-5993	3	35	*	*	PUNCT
easat-5993	3	36	correspondence	correspondence	NOUN
easat-5993	3	37	:	:	PUNCT
easat-5993	3	38	ogundokunroseline1@gmail.com	ogundokunroseline1@gmail.com	X
easat-5993	3	39	mgwo	mgwo	NOUN
easat-5993	3	40	-	-	PUNCT
easat-5993	3	41	cnn	cnn	PROPN
easat-5993	3	42	:	:	PUNCT
easat-5993	3	43	a	a	DET
easat-5993	3	44	bio	bio	ADV
easat-5993	3	45	-	-	PUNCT
easat-5993	3	46	inspired	inspire	VERB
easat-5993	3	47	deep	deep	ADJ
easat-5993	3	48	learning	learning	NOUN
easat-5993	3	49	approach	approach	NOUN
easat-5993	3	50	for	for	ADP
easat-5993	3	51	covid-19	covid-19	PROPN
easat-5993	3	52	detection	detection	NOUN
easat-5993	3	53	in	in	ADP
easat-5993	3	54	chest	chest	NOUN
easat-5993	3	55	x	x	NOUN
easat-5993	3	56	-	-	NOUN
easat-5993	3	57	ray	ray	NOUN
easat-5993	3	58	images	image	NOUN
easat-5993	3	59	roseline	roseline	NOUN
easat-5993	3	60	oluwaseun	oluwaseun	PROPN
easat-5993	3	61	ogundokun1	ogundokun1	PROPN
easat-5993	3	62	*	*	PROPN
easat-5993	3	63	,	,	PUNCT
easat-5993	3	64	pius	pius	PROPN
easat-5993	3	65	adewale	adewale	PROPN
easat-5993	3	66	owolawi2	owolawi2	PROPN
easat-5993	3	67	,	,	PUNCT
easat-5993	3	68	chunling	chunle	VERB
easat-5993	3	69	du3	du3	PROPN
easat-5993	3	70	1,2,3department	1,2,3department	NUM
easat-5993	3	71	of	of	ADP
easat-5993	3	72	computer	computer	NOUN
easat-5993	3	73	systems	system	NOUN
easat-5993	3	74	engineering	engineering	NOUN
easat-5993	3	75	,	,	PUNCT
easat-5993	3	76	tshwane	tshwane	NOUN
easat-5993	3	77	university	university	NOUN
easat-5993	3	78	of	of	ADP
easat-5993	3	79	technology	technology	NOUN
easat-5993	3	80	(	(	PUNCT
easat-5993	3	81	tut	tut	NOUN
easat-5993	3	82	)	)	PUNCT
easat-5993	3	83	,	,	PUNCT
easat-5993	3	84	pretoria	pretoria	PROPN
easat-5993	3	85	,	,	PUNCT
easat-5993	3	86	south	south	PROPN
easat-5993	3	87	africa	africa	PROPN
easat-5993	3	88	;	;	PUNCT
easat-5993	3	89	ogundokunroseline1@gmail.com	ogundokunroseline1@gmail.com	X
easat-5993	3	90	(	(	PUNCT
easat-5993	3	91	r.o.o	r.o.o	PROPN
easat-5993	3	92	.	.	PUNCT
easat-5993	3	93	)	)	PUNCT
easat-5993	3	94	.	.	PUNCT
easat-5993	4	1	abstract	abstract	ADV
easat-5993	4	2	:	:	PUNCT
easat-5993	4	3	the	the	DET
easat-5993	4	4	present	present	ADJ
easat-5993	4	5	covid-19	covid-19	PROPN
easat-5993	4	6	pandemic	pandemic	ADJ
easat-5993	4	7	demands	demand	NOUN
easat-5993	4	8	rapid	rapid	ADJ
easat-5993	4	9	and	and	CCONJ
easat-5993	4	10	accurate	accurate	ADJ
easat-5993	4	11	diagnostic	diagnostic	ADJ
easat-5993	4	12	methods	method	NOUN
easat-5993	4	13	for	for	ADP
easat-5993	4	14	early	early	ADJ
easat-5993	4	15	detection	detection	NOUN
easat-5993	4	16	,	,	PUNCT
easat-5993	4	17	isolation	isolation	NOUN
easat-5993	4	18	,	,	PUNCT
easat-5993	4	19	and	and	CCONJ
easat-5993	4	20	treatment	treatment	NOUN
easat-5993	4	21	.	.	PUNCT
easat-5993	5	1	this	this	DET
easat-5993	5	2	study	study	NOUN
easat-5993	5	3	aims	aim	VERB
easat-5993	5	4	to	to	PART
easat-5993	5	5	enhance	enhance	VERB
easat-5993	5	6	covid-19	covid-19	PROPN
easat-5993	5	7	diagnosis	diagnosis	NOUN
easat-5993	5	8	with	with	ADP
easat-5993	5	9	the	the	DET
easat-5993	5	10	help	help	NOUN
easat-5993	5	11	of	of	ADP
easat-5993	5	12	bio	bio	NOUN
easat-5993	5	13	-	-	PUNCT
easat-5993	5	14	inspired	inspire	VERB
easat-5993	5	15	deep	deep	ADJ
easat-5993	5	16	learning	learning	NOUN
easat-5993	5	17	and	and	CCONJ
easat-5993	5	18	feature	feature	NOUN
easat-5993	5	19	selection	selection	NOUN
easat-5993	5	20	.	.	PUNCT
easat-5993	6	1	this	this	DET
easat-5993	6	2	paper	paper	NOUN
easat-5993	6	3	proposes	propose	VERB
easat-5993	6	4	a	a	DET
easat-5993	6	5	novel	novel	ADJ
easat-5993	6	6	diagnostic	diagnostic	ADJ
easat-5993	6	7	model	model	NOUN
easat-5993	6	8	—	—	PUNCT
easat-5993	6	9	mgwo	mgwo	NOUN
easat-5993	6	10	-	-	PUNCT
easat-5993	6	11	cnn	cnn	PROPN
easat-5993	6	12	—	—	PUNCT
easat-5993	6	13	integrating	integrate	VERB
easat-5993	6	14	a	a	DET
easat-5993	6	15	modified	modify	VERB
easat-5993	6	16	grey	grey	NOUN
easat-5993	6	17	wolf	wolf	NOUN
easat-5993	6	18	optimizer	optimizer	NOUN
easat-5993	6	19	(	(	PUNCT
easat-5993	6	20	mgwo	mgwo	NOUN
easat-5993	6	21	)	)	PUNCT
easat-5993	6	22	with	with	ADP
easat-5993	6	23	a	a	DET
easat-5993	6	24	convolutional	convolutional	ADJ
easat-5993	6	25	neural	neural	ADJ
easat-5993	6	26	network	network	NOUN
easat-5993	6	27	(	(	PUNCT
easat-5993	6	28	cnn	cnn	PROPN
easat-5993	6	29	)	)	PUNCT
easat-5993	6	30	.	.	PUNCT
easat-5993	7	1	the	the	DET
easat-5993	7	2	framework	framework	NOUN
easat-5993	7	3	utilizes	utilize	VERB
easat-5993	7	4	gabor	gabor	NOUN
easat-5993	7	5	filters	filter	NOUN
easat-5993	7	6	as	as	ADP
easat-5993	7	7	feature	feature	NOUN
easat-5993	7	8	detectors	detector	NOUN
easat-5993	7	9	and	and	CCONJ
easat-5993	7	10	mgwo	mgwo	NOUN
easat-5993	7	11	to	to	PART
easat-5993	7	12	optimize	optimize	VERB
easat-5993	7	13	feature	feature	NOUN
easat-5993	7	14	selection	selection	NOUN
easat-5993	7	15	and	and	CCONJ
easat-5993	7	16	improve	improve	VERB
easat-5993	7	17	classification	classification	NOUN
easat-5993	7	18	performance	performance	NOUN
easat-5993	7	19	.	.	PUNCT
easat-5993	8	1	the	the	DET
easat-5993	8	2	model	model	NOUN
easat-5993	8	3	was	be	AUX
easat-5993	8	4	tested	test	VERB
easat-5993	8	5	and	and	CCONJ
easat-5993	8	6	trained	train	VERB
easat-5993	8	7	on	on	ADP
easat-5993	8	8	a	a	DET
easat-5993	8	9	publicly	publicly	ADV
easat-5993	8	10	available	available	ADJ
easat-5993	8	11	kaggle	kaggle	ADJ
easat-5993	8	12	dataset	dataset	NOUN
easat-5993	8	13	of	of	ADP
easat-5993	8	14	13,758	13,758	NUM
easat-5993	8	15	cxr	cxr	NOUN
easat-5993	8	16	images	image	NOUN
easat-5993	8	17	.	.	PUNCT
easat-5993	9	1	experimental	experimental	ADJ
easat-5993	9	2	results	result	NOUN
easat-5993	9	3	show	show	VERB
easat-5993	9	4	that	that	SCONJ
easat-5993	9	5	the	the	DET
easat-5993	9	6	mgwo	mgwo	NOUN
easat-5993	9	7	-	-	PUNCT
easat-5993	9	8	cnn	cnn	PROPN
easat-5993	9	9	outperforms	outperform	VERB
easat-5993	9	10	traditional	traditional	ADJ
easat-5993	9	11	methods	method	NOUN
easat-5993	9	12	with	with	ADP
easat-5993	9	13	99.89	99.89	NUM
easat-5993	9	14	%	%	NOUN
easat-5993	9	15	accuracy	accuracy	NOUN
easat-5993	9	16	,	,	PUNCT
easat-5993	9	17	100	100	NUM
easat-5993	9	18	%	%	NOUN
easat-5993	9	19	sensitivity	sensitivity	NOUN
easat-5993	9	20	,	,	PUNCT
easat-5993	9	21	and	and	CCONJ
easat-5993	9	22	99.79	99.79	NUM
easat-5993	9	23	%	%	NOUN
easat-5993	9	24	specificity	specificity	NOUN
easat-5993	9	25	.	.	PUNCT
easat-5993	10	1	the	the	DET
easat-5993	10	2	model	model	NOUN
easat-5993	10	3	effectively	effectively	ADV
easat-5993	10	4	distinguishes	distinguish	VERB
easat-5993	10	5	between	between	ADP
easat-5993	10	6	covid-19	covid-19	PROPN
easat-5993	10	7	and	and	CCONJ
easat-5993	10	8	normal	normal	ADJ
easat-5993	10	9	cases	case	NOUN
easat-5993	10	10	with	with	ADP
easat-5993	10	11	significantly	significantly	ADV
easat-5993	10	12	lower	low	ADJ
easat-5993	10	13	training	training	NOUN
easat-5993	10	14	and	and	CCONJ
easat-5993	10	15	validation	validation	NOUN
easat-5993	10	16	loss	loss	NOUN
easat-5993	10	17	than	than	ADP
easat-5993	10	18	baseline	baseline	NOUN
easat-5993	10	19	models	model	NOUN
easat-5993	10	20	.	.	PUNCT
easat-5993	11	1	mgwo	mgwo	NOUN
easat-5993	11	2	-	-	PUNCT
easat-5993	11	3	cnn	cnn	PROPN
easat-5993	11	4	provides	provide	VERB
easat-5993	11	5	higher	high	ADJ
easat-5993	11	6	diagnostic	diagnostic	ADJ
easat-5993	11	7	accuracy	accuracy	NOUN
easat-5993	11	8	,	,	PUNCT
easat-5993	11	9	validating	validate	VERB
easat-5993	11	10	the	the	DET
easat-5993	11	11	effectiveness	effectiveness	NOUN
easat-5993	11	12	of	of	ADP
easat-5993	11	13	bio	bio	NOUN
easat-5993	11	14	-	-	PUNCT
easat-5993	11	15	inspired	inspire	VERB
easat-5993	11	16	optimization	optimization	NOUN
easat-5993	11	17	-	-	PUNCT
easat-5993	11	18	based	base	VERB
easat-5993	11	19	hybrid	hybrid	ADJ
easat-5993	11	20	deep	deep	ADJ
easat-5993	11	21	learning	learning	NOUN
easat-5993	11	22	for	for	ADP
easat-5993	11	23	covid-19	covid-19	PROPN
easat-5993	11	24	diagnosis	diagnosis	NOUN
easat-5993	11	25	.	.	PUNCT
easat-5993	12	1	the	the	DET
easat-5993	12	2	model	model	NOUN
easat-5993	12	3	offers	offer	VERB
easat-5993	12	4	an	an	DET
easat-5993	12	5	affordable	affordable	ADJ
easat-5993	12	6	,	,	PUNCT
easat-5993	12	7	effective	effective	ADJ
easat-5993	12	8	diagnostic	diagnostic	ADJ
easat-5993	12	9	tool	tool	NOUN
easat-5993	12	10	that	that	PRON
easat-5993	12	11	can	can	AUX
easat-5993	12	12	be	be	AUX
easat-5993	12	13	adopted	adopt	VERB
easat-5993	12	14	in	in	ADP
easat-5993	12	15	resource	resource	NOUN
easat-5993	12	16	-	-	PUNCT
easat-5993	12	17	constrained	constrain	VERB
easat-5993	12	18	healthcare	healthcare	NOUN
easat-5993	12	19	settings	setting	NOUN
easat-5993	12	20	with	with	ADP
easat-5993	12	21	limited	limited	ADJ
easat-5993	12	22	access	access	NOUN
easat-5993	12	23	to	to	ADP
easat-5993	12	24	high	high	ADJ
easat-5993	12	25	-	-	PUNCT
easat-5993	12	26	end	end	NOUN
easat-5993	12	27	testing	testing	NOUN
easat-5993	12	28	equipment	equipment	NOUN
easat-5993	12	29	.	.	PUNCT
easat-5993	13	1	keywords	keyword	NOUN
easat-5993	13	2	:	:	PUNCT
easat-5993	13	3	chest	chest	NOUN
easat-5993	13	4	x	x	NOUN
easat-5993	13	5	-	-	NOUN
easat-5993	13	6	ray	ray	NOUN
easat-5993	13	7	images	image	NOUN
easat-5993	13	8	,	,	PUNCT
easat-5993	13	9	convolutional	convolutional	ADJ
easat-5993	13	10	neural	neural	ADJ
easat-5993	13	11	network	network	NOUN
easat-5993	13	12	,	,	PUNCT
easat-5993	13	13	covid-19	covid-19	PROPN
easat-5993	13	14	,	,	PUNCT
easat-5993	13	15	classification	classification	NOUN
easat-5993	13	16	,	,	PUNCT
easat-5993	13	17	deep	deep	ADJ
easat-5993	13	18	learning	learning	NOUN
easat-5993	13	19	,	,	PUNCT
easat-5993	13	20	gabor	gabor	PROPN
easat-5993	13	21	filter	filter	PROPN
easat-5993	13	22	,	,	PUNCT
easat-5993	13	23	greywolf	greywolf	NOUN
easat-5993	13	24	optimizer	optimizer	NOUN
easat-5993	13	25	algorithm	algorithm	NOUN
easat-5993	13	26	.	.	PUNCT
easat-5993	14	1	1	1	X
easat-5993	14	2	.	.	X
easat-5993	14	3	introduction	introduction	NOUN
easat-5993	14	4	covid-19	covid-19	PROPN
easat-5993	14	5	,	,	PUNCT
easat-5993	14	6	a	a	DET
easat-5993	14	7	novel	novel	ADJ
easat-5993	14	8	coronavirus	coronavirus	NOUN
easat-5993	14	9	,	,	PUNCT
easat-5993	14	10	emerged	emerge	VERB
easat-5993	14	11	late	late	ADV
easat-5993	14	12	in	in	ADP
easat-5993	14	13	2019	2019	NUM
easat-5993	14	14	and	and	CCONJ
easat-5993	14	15	quickly	quickly	ADV
easat-5993	14	16	spread	spread	VERB
easat-5993	14	17	from	from	ADP
easat-5993	14	18	asia	asia	PROPN
easat-5993	14	19	to	to	ADP
easat-5993	14	20	the	the	DET
easat-5993	14	21	rest	rest	NOUN
easat-5993	14	22	of	of	ADP
easat-5993	14	23	the	the	DET
easat-5993	14	24	world	world	NOUN
easat-5993	14	25	,	,	PUNCT
easat-5993	14	26	producing	produce	VERB
easat-5993	14	27	an	an	DET
easat-5993	14	28	unforeseen	unforeseen	ADJ
easat-5993	14	29	global	global	ADJ
easat-5993	14	30	epidemic	epidemic	NOUN
easat-5993	14	31	of	of	ADP
easat-5993	14	32	respiratory	respiratory	ADJ
easat-5993	14	33	diseases	disease	NOUN
easat-5993	14	34	[	[	X
easat-5993	14	35	1	1	NUM
easat-5993	14	36	,	,	PUNCT
easat-5993	14	37	2	2	NUM
easat-5993	14	38	]	]	PUNCT
easat-5993	14	39	.	.	PUNCT
easat-5993	15	1	the	the	DET
easat-5993	15	2	emergence	emergence	NOUN
easat-5993	15	3	of	of	ADP
easat-5993	15	4	covid-19	covid-19	PROPN
easat-5993	15	5	has	have	AUX
easat-5993	15	6	had	have	VERB
easat-5993	15	7	profound	profound	ADJ
easat-5993	15	8	economic	economic	ADJ
easat-5993	15	9	repercussions	repercussion	NOUN
easat-5993	15	10	and	and	CCONJ
easat-5993	15	11	continues	continue	VERB
easat-5993	15	12	to	to	PART
easat-5993	15	13	pose	pose	VERB
easat-5993	15	14	a	a	DET
easat-5993	15	15	substantial	substantial	ADJ
easat-5993	15	16	risk	risk	NOUN
easat-5993	15	17	to	to	ADP
easat-5993	15	18	human	human	ADJ
easat-5993	15	19	life	life	NOUN
easat-5993	15	20	[	[	X
easat-5993	15	21	3	3	NUM
easat-5993	15	22	]	]	PUNCT
easat-5993	15	23	.	.	PUNCT
easat-5993	16	1	the	the	DET
easat-5993	16	2	global	global	ADJ
easat-5993	16	3	dissemination	dissemination	NOUN
easat-5993	16	4	of	of	ADP
easat-5993	16	5	the	the	DET
easat-5993	16	6	epidemic	epidemic	NOUN
easat-5993	16	7	has	have	AUX
easat-5993	16	8	resulted	result	VERB
easat-5993	16	9	in	in	ADP
easat-5993	16	10	a	a	DET
easat-5993	16	11	cumulative	cumulative	ADJ
easat-5993	16	12	count	count	NOUN
easat-5993	16	13	of	of	ADP
easat-5993	16	14	about	about	ADV
easat-5993	16	15	36	36	NUM
easat-5993	16	16	million	million	NUM
easat-5993	16	17	confirmed	confirm	VERB
easat-5993	16	18	illnesses	illness	NOUN
easat-5993	16	19	and	and	CCONJ
easat-5993	16	20	1	1	NUM
easat-5993	16	21	million	million	NUM
easat-5993	16	22	documented	document	VERB
easat-5993	16	23	fatalities	fatality	NOUN
easat-5993	16	24	globally	globally	ADV
easat-5993	16	25	[	[	X
easat-5993	16	26	4	4	NUM
easat-5993	16	27	]	]	PUNCT
easat-5993	16	28	.	.	PUNCT
easat-5993	17	1	numerous	numerous	ADJ
easat-5993	17	2	study	study	NOUN
easat-5993	17	3	initiatives	initiative	NOUN
easat-5993	17	4	have	have	AUX
easat-5993	17	5	been	be	AUX
easat-5993	17	6	conducted	conduct	VERB
easat-5993	17	7	to	to	PART
easat-5993	17	8	assess	assess	VERB
easat-5993	17	9	the	the	DET
easat-5993	17	10	extent	extent	NOUN
easat-5993	17	11	and	and	CCONJ
easat-5993	17	12	gravity	gravity	NOUN
easat-5993	17	13	of	of	ADP
easat-5993	17	14	pneumonia	pneumonia	NOUN
easat-5993	17	15	induced	induce	VERB
easat-5993	17	16	by	by	ADP
easat-5993	17	17	covid-19	covid-19	PROPN
easat-5993	17	18	within	within	ADP
easat-5993	17	19	this	this	DET
easat-5993	17	20	time	time	NOUN
easat-5993	17	21	frame	frame	NOUN
easat-5993	17	22	.	.	PUNCT
easat-5993	18	1	the	the	DET
easat-5993	18	2	objective	objective	NOUN
easat-5993	18	3	of	of	ADP
easat-5993	18	4	these	these	DET
easat-5993	18	5	investigations	investigation	NOUN
easat-5993	18	6	is	be	AUX
easat-5993	18	7	to	to	PART
easat-5993	18	8	efficiently	efficiently	ADV
easat-5993	18	9	identify	identify	VERB
easat-5993	18	10	individuals	individual	NOUN
easat-5993	18	11	who	who	PRON
easat-5993	18	12	have	have	AUX
easat-5993	18	13	been	be	AUX
easat-5993	18	14	infected	infect	VERB
easat-5993	18	15	with	with	ADP
easat-5993	18	16	covid-19	covid-19	PROPN
easat-5993	18	17	at	at	ADP
easat-5993	18	18	the	the	DET
easat-5993	18	19	earliest	early	ADJ
easat-5993	18	20	feasible	feasible	ADJ
easat-5993	18	21	stage	stage	NOUN
easat-5993	18	22	.	.	PUNCT
easat-5993	19	1	it	it	PRON
easat-5993	19	2	is	be	AUX
easat-5993	19	3	crucial	crucial	ADJ
easat-5993	19	4	to	to	PART
easat-5993	19	5	isolate	isolate	VERB
easat-5993	19	6	these	these	DET
easat-5993	19	7	patients	patient	NOUN
easat-5993	19	8	promptly	promptly	ADV
easat-5993	19	9	and	and	CCONJ
easat-5993	19	10	minimize	minimize	VERB
easat-5993	19	11	the	the	DET
easat-5993	19	12	risk	risk	NOUN
easat-5993	19	13	of	of	ADP
easat-5993	19	14	transmission	transmission	NOUN
easat-5993	19	15	while	while	SCONJ
easat-5993	19	16	also	also	ADV
easat-5993	19	17	ensuring	ensure	VERB
easat-5993	19	18	that	that	SCONJ
easat-5993	19	19	they	they	PRON
easat-5993	19	20	get	get	VERB
easat-5993	19	21	appropriate	appropriate	ADJ
easat-5993	19	22	medical	medical	ADJ
easat-5993	19	23	intervention	intervention	NOUN
easat-5993	20	1	[	[	X
easat-5993	20	2	5	5	NUM
easat-5993	20	3	,	,	PUNCT
easat-5993	20	4	6	6	NUM
easat-5993	20	5	]	]	PUNCT
easat-5993	20	6	.	.	PUNCT
easat-5993	21	1	while	while	SCONJ
easat-5993	21	2	chest	chest	NOUN
easat-5993	21	3	x	x	NOUN
easat-5993	21	4	-	-	NOUN
easat-5993	21	5	ray	ray	NOUN
easat-5993	21	6	(	(	PUNCT
easat-5993	21	7	cxr	cxr	NOUN
easat-5993	21	8	)	)	PUNCT
easat-5993	21	9	is	be	AUX
easat-5993	21	10	widely	widely	ADV
easat-5993	21	11	available	available	ADJ
easat-5993	21	12	in	in	ADP
easat-5993	21	13	hospitals	hospital	NOUN
easat-5993	21	14	globally	globally	ADV
easat-5993	21	15	,	,	PUNCT
easat-5993	21	16	it	it	PRON
easat-5993	21	17	is	be	AUX
easat-5993	21	18	essential	essential	ADJ
easat-5993	21	19	to	to	PART
easat-5993	21	20	note	note	VERB
easat-5993	21	21	that	that	SCONJ
easat-5993	21	22	chest	chest	NOUN
easat-5993	21	23	computed	compute	VERB
easat-5993	21	24	tomography	tomography	NOUN
easat-5993	21	25	(	(	PUNCT
easat-5993	21	26	ct	ct	NOUN
easat-5993	21	27	)	)	PUNCT
easat-5993	21	28	scans	scan	NOUN
easat-5993	21	29	exhibit	exhibit	VERB
easat-5993	21	30	greater	great	ADJ
easat-5993	21	31	sensitivity	sensitivity	NOUN
easat-5993	21	32	compared	compare	VERB
easat-5993	21	33	to	to	ADP
easat-5993	21	34	cxr	cxr	NOUN
easat-5993	21	35	in	in	ADP
easat-5993	21	36	the	the	DET
easat-5993	21	37	early	early	ADJ
easat-5993	21	38	identification	identification	NOUN
easat-5993	21	39	of	of	ADP
easat-5993	21	40	covid-19	covid-19	PROPN
easat-5993	21	41	disease	disease	NOUN
easat-5993	21	42	alterations	alteration	NOUN
easat-5993	21	43	,	,	PUNCT
easat-5993	21	44	as	as	ADV
easat-5993	21	45	well	well	ADV
easat-5993	21	46	as	as	ADP
easat-5993	21	47	in	in	ADP
easat-5993	21	48	the	the	DET
easat-5993	21	49	assessment	assessment	NOUN
easat-5993	21	50	of	of	ADP
easat-5993	21	51	disease	disease	NOUN
easat-5993	21	52	stage	stage	NOUN
easat-5993	21	53	and	and	CCONJ
easat-5993	21	54	monitoring	monitoring	NOUN
easat-5993	21	55	of	of	ADP
easat-5993	21	56	disease	disease	NOUN
easat-5993	21	57	progression	progression	NOUN
easat-5993	22	1	[	[	X
easat-5993	22	2	7	7	NUM
easat-5993	22	3	,	,	PUNCT
easat-5993	22	4	8	8	NUM
easat-5993	22	5	]	]	PUNCT
easat-5993	22	6	.	.	PUNCT
easat-5993	23	1	computed	compute	VERB
easat-5993	23	2	tomography	tomography	NOUN
easat-5993	23	3	(	(	PUNCT
easat-5993	23	4	ct	ct	NOUN
easat-5993	23	5	)	)	PUNCT
easat-5993	23	6	images	image	NOUN
easat-5993	23	7	are	be	AUX
easat-5993	23	8	generally	generally	ADV
easat-5993	23	9	recognized	recognize	VERB
easat-5993	23	10	as	as	ADP
easat-5993	23	11	a	a	DET
easat-5993	23	12	robust	robust	ADJ
easat-5993	23	13	analytical	analytical	ADJ
easat-5993	23	14	technique	technique	NOUN
easat-5993	23	15	[	[	X
easat-5993	23	16	9	9	NUM
easat-5993	23	17	,	,	PUNCT
easat-5993	23	18	10	10	NUM
easat-5993	23	19	]	]	PUNCT
easat-5993	23	20	.	.	PUNCT
easat-5993	24	1	that	that	PRON
easat-5993	24	2	finds	find	VERB
easat-5993	24	3	extensive	extensive	ADJ
easat-5993	24	4	applications	application	NOUN
easat-5993	24	5	in	in	ADP
easat-5993	24	6	the	the	DET
easat-5993	24	7	field	field	NOUN
easat-5993	24	8	of	of	ADP
easat-5993	24	9	biomedical	biomedical	ADJ
easat-5993	24	10	imaging	imaging	NOUN
easat-5993	24	11	ye	ye	PROPN
easat-5993	24	12	,	,	PUNCT
easat-5993	24	13	et	et	PROPN
easat-5993	24	14	al	al	PROPN
easat-5993	24	15	.	.	PUNCT
easat-5993	25	1	[	[	X
easat-5993	25	2	11	11	NUM
easat-5993	25	3	]	]	PUNCT
easat-5993	25	4	and	and	CCONJ
easat-5993	25	5	clinical	clinical	ADJ
easat-5993	25	6	diagnostics	diagnostic	NOUN
easat-5993	25	7	[	[	X
easat-5993	25	8	12	12	NUM
easat-5993	25	9	]	]	PUNCT
easat-5993	25	10	.	.	PUNCT
easat-5993	26	1	these	these	DET
easat-5993	26	2	images	image	NOUN
easat-5993	26	3	provide	provide	VERB
easat-5993	26	4	non	non	ADJ
easat-5993	26	5	-	-	ADJ
easat-5993	26	6	invasive	invasive	ADJ
easat-5993	26	7	threedimensional	threedimensional	ADJ
easat-5993	26	8	visualization	visualization	NOUN
easat-5993	26	9	of	of	ADP
easat-5993	26	10	inside	inside	ADJ
easat-5993	26	11	structures	structure	NOUN
easat-5993	26	12	,	,	PUNCT
easat-5993	26	13	allowing	allow	VERB
easat-5993	26	14	detailed	detailed	ADJ
easat-5993	26	15	examination	examination	NOUN
easat-5993	26	16	without	without	ADP
easat-5993	26	17	causing	cause	VERB
easat-5993	26	18	any	any	DET
easat-5993	26	19	damage	damage	NOUN
easat-5993	26	20	.	.	PUNCT
easat-5993	27	1	nevertheless	nevertheless	ADV
easat-5993	27	2	,	,	PUNCT
easat-5993	27	3	classifying	classify	VERB
easat-5993	27	4	the	the	DET
easat-5993	27	5	symptoms	symptom	NOUN
easat-5993	27	6	of	of	ADP
easat-5993	27	7	community	community	NOUN
easat-5993	27	8	-	-	PUNCT
easat-5993	27	9	acquired	acquire	VERB
easat-5993	27	10	bacterial	bacterial	ADJ
easat-5993	27	11	pneumonia	pneumonia	NOUN
easat-5993	27	12	becomes	become	VERB
easat-5993	27	13	380	380	NUM
easat-5993	27	14	edelweiss	edelweiss	PROPN
easat-5993	27	15	applied	apply	VERB
easat-5993	27	16	science	science	NOUN
easat-5993	27	17	and	and	CCONJ
easat-5993	27	18	technology	technology	NOUN
easat-5993	27	19	issn	issn	PROPN
easat-5993	27	20	:	:	PUNCT
easat-5993	27	21	2576	2576	NUM
easat-5993	27	22	-	-	SYM
easat-5993	27	23	8484	8484	NUM
easat-5993	27	24	vol	vol	NOUN
easat-5993	27	25	.	.	PROPN
easat-5993	28	1	9	9	NUM
easat-5993	28	2	,	,	PUNCT
easat-5993	28	3	no	no	INTJ
easat-5993	28	4	.	.	NOUN
easat-5993	28	5	4	4	NUM
easat-5993	28	6	:	:	PUNCT
easat-5993	28	7	379	379	NUM
easat-5993	28	8	-	-	SYM
easat-5993	28	9	394	394	NUM
easat-5993	28	10	,	,	PUNCT
easat-5993	28	11	2025	2025	NUM
easat-5993	28	12	doi	doi	NOUN
easat-5993	28	13	:	:	PUNCT
easat-5993	28	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	28	15	©	©	ADP
easat-5993	28	16	2025	2025	NUM
easat-5993	28	17	by	by	ADP
easat-5993	28	18	the	the	DET
easat-5993	28	19	authors	author	NOUN
easat-5993	28	20	;	;	PUNCT
easat-5993	29	1	licensee	licensee	PROPN
easat-5993	29	2	learning	learn	VERB
easat-5993	29	3	gate	gate	NOUN
easat-5993	29	4	challenging	challenge	VERB
easat-5993	29	5	compared	compare	VERB
easat-5993	29	6	to	to	ADP
easat-5993	29	7	covid-19	covid-19	PROPN
easat-5993	30	1	[	[	X
easat-5993	30	2	13	13	NUM
easat-5993	30	3	]	]	PUNCT
easat-5993	30	4	.	.	PUNCT
easat-5993	31	1	various	various	ADJ
easat-5993	31	2	studies	study	NOUN
easat-5993	31	3	[	[	X
easat-5993	31	4	14	14	NUM
easat-5993	31	5	-	-	SYM
easat-5993	31	6	22	22	NUM
easat-5993	31	7	]	]	PUNCT
easat-5993	31	8	.	.	PUNCT
easat-5993	31	9	utilize	utilize	VERB
easat-5993	31	10	different	different	ADJ
easat-5993	31	11	feature	feature	NOUN
easat-5993	31	12	selection	selection	NOUN
easat-5993	31	13	and	and	CCONJ
easat-5993	31	14	extraction	extraction	NOUN
easat-5993	31	15	methods	method	NOUN
easat-5993	31	16	to	to	PART
easat-5993	31	17	improve	improve	VERB
easat-5993	31	18	their	their	PRON
easat-5993	31	19	recommended	recommend	VERB
easat-5993	31	20	systems	system	NOUN
easat-5993	31	21	'	'	PART
easat-5993	31	22	performance	performance	NOUN
easat-5993	31	23	.	.	PUNCT
easat-5993	32	1	in	in	ADP
easat-5993	32	2	contemporary	contemporary	PROPN
easat-5993	32	3	times	time	NOUN
easat-5993	32	4	,	,	PUNCT
easat-5993	32	5	evaluating	evaluate	VERB
easat-5993	32	6	vast	vast	ADJ
easat-5993	32	7	data	data	NOUN
easat-5993	32	8	sets	set	NOUN
easat-5993	32	9	has	have	AUX
easat-5993	32	10	become	become	VERB
easat-5993	32	11	much	much	ADV
easat-5993	32	12	more	more	ADV
easat-5993	32	13	convenient	convenient	ADJ
easat-5993	32	14	owing	owe	VERB
easat-5993	32	15	to	to	ADP
easat-5993	32	16	the	the	DET
easat-5993	32	17	emergence	emergence	NOUN
easat-5993	32	18	of	of	ADP
easat-5993	32	19	the	the	DET
easat-5993	32	20	deep	deep	ADJ
easat-5993	32	21	learning	learning	NOUN
easat-5993	32	22	(	(	PUNCT
easat-5993	32	23	dl	dl	NOUN
easat-5993	32	24	)	)	PUNCT
easat-5993	32	25	technique	technique	NOUN
easat-5993	32	26	.	.	PUNCT
easat-5993	33	1	cnn	cnn	PROPN
easat-5993	33	2	-	-	PUNCT
easat-5993	33	3	centred	centre	VERB
easat-5993	33	4	dl	dl	NOUN
easat-5993	33	5	procedure	procedure	NOUN
easat-5993	33	6	models	model	NOUN
easat-5993	33	7	are	be	AUX
easat-5993	33	8	often	often	ADV
easat-5993	33	9	considered	consider	VERB
easat-5993	33	10	the	the	DET
easat-5993	33	11	most	most	ADV
easat-5993	33	12	favoured	favour	VERB
easat-5993	33	13	dl	dl	NOUN
easat-5993	33	14	technique	technique	NOUN
easat-5993	33	15	in	in	ADP
easat-5993	33	16	medicine	medicine	NOUN
easat-5993	33	17	[	[	X
easat-5993	33	18	23	23	NUM
easat-5993	33	19	]	]	PUNCT
easat-5993	33	20	.	.	PUNCT
easat-5993	34	1	when	when	SCONJ
easat-5993	34	2	educated	educate	VERB
easat-5993	34	3	about	about	ADP
easat-5993	34	4	early	early	ADJ
easat-5993	34	5	diagnosis	diagnosis	NOUN
easat-5993	34	6	,	,	PUNCT
easat-5993	34	7	patients	patient	NOUN
easat-5993	34	8	can	can	AUX
easat-5993	34	9	receive	receive	VERB
easat-5993	34	10	improved	improve	VERB
easat-5993	34	11	medical	medical	ADJ
easat-5993	34	12	care	care	NOUN
easat-5993	34	13	and	and	CCONJ
easat-5993	34	14	more	more	ADV
easat-5993	34	15	tailored	tailored	ADJ
easat-5993	34	16	therapeutic	therapeutic	ADJ
easat-5993	34	17	interventions	intervention	NOUN
easat-5993	34	18	[	[	X
easat-5993	34	19	24	24	NUM
easat-5993	34	20	]	]	PUNCT
easat-5993	34	21	.	.	PUNCT
easat-5993	35	1	cnns	cnns	PROPN
easat-5993	35	2	are	be	AUX
easat-5993	35	3	a	a	DET
easat-5993	35	4	kind	kind	NOUN
easat-5993	35	5	of	of	ADP
easat-5993	35	6	artificial	artificial	ADJ
easat-5993	35	7	neural	neural	ADJ
easat-5993	35	8	network	network	NOUN
easat-5993	35	9	(	(	PUNCT
easat-5993	35	10	ann	ann	PROPN
easat-5993	35	11	)	)	PUNCT
easat-5993	35	12	that	that	PRON
easat-5993	35	13	falls	fall	VERB
easat-5993	35	14	under	under	ADP
easat-5993	35	15	ml	ml	NOUN
easat-5993	35	16	strategies	strategy	NOUN
easat-5993	35	17	.	.	PUNCT
easat-5993	36	1	recently	recently	ADV
easat-5993	36	2	,	,	PUNCT
easat-5993	36	3	several	several	ADJ
easat-5993	36	4	cnn	cnn	PROPN
easat-5993	36	5	models	model	NOUN
easat-5993	36	6	have	have	AUX
easat-5993	36	7	been	be	AUX
easat-5993	36	8	widely	widely	ADV
easat-5993	36	9	utilized	utilize	VERB
easat-5993	36	10	for	for	ADP
easat-5993	36	11	image	image	NOUN
easat-5993	36	12	classification	classification	NOUN
easat-5993	36	13	tasks	task	NOUN
easat-5993	36	14	.	.	PUNCT
easat-5993	37	1	notable	notable	ADJ
easat-5993	37	2	examples	example	NOUN
easat-5993	37	3	are	be	AUX
easat-5993	37	4	googlenet	googlenet	PROPN
easat-5993	37	5	zhou	zhou	PROPN
easat-5993	37	6	,	,	PUNCT
easat-5993	37	7	et	et	PROPN
easat-5993	37	8	al	al	PROPN
easat-5993	37	9	.	.	PUNCT
easat-5993	38	1	[	[	X
easat-5993	38	2	25	25	NUM
easat-5993	38	3	]	]	X
easat-5993	38	4	vggnet	vggnet	NOUN
easat-5993	38	5	gupta	gupta	PROPN
easat-5993	38	6	and	and	CCONJ
easat-5993	38	7	bibhu	bibhu	VERB
easat-5993	38	8	[	[	X
easat-5993	38	9	26	26	NUM
easat-5993	38	10	]	]	PUNCT
easat-5993	38	11	resnet	resnet	PROPN
easat-5993	38	12	lu	lu	PROPN
easat-5993	38	13	,	,	PUNCT
easat-5993	38	14	et	et	PROPN
easat-5993	38	15	al	al	PROPN
easat-5993	38	16	.	.	PUNCT
easat-5993	39	1	[	[	X
easat-5993	39	2	27	27	NUM
easat-5993	39	3	]	]	PUNCT
easat-5993	39	4	and	and	CCONJ
easat-5993	39	5	alexnet	alexnet	PROPN
easat-5993	39	6	dey	dey	PROPN
easat-5993	39	7	and	and	CCONJ
easat-5993	39	8	rajinikanth	rajinikanth	PROPN
easat-5993	40	1	[	[	X
easat-5993	40	2	28	28	NUM
easat-5993	40	3	]	]	PUNCT
easat-5993	40	4	.	.	PUNCT
easat-5993	41	1	kassem	kassem	PROPN
easat-5993	41	2	,	,	PUNCT
easat-5993	41	3	et	et	PROPN
easat-5993	41	4	al	al	PROPN
easat-5993	41	5	.	.	PUNCT
easat-5993	42	1	[	[	X
easat-5993	42	2	29	29	NUM
easat-5993	42	3	]	]	PUNCT
easat-5993	42	4	proposed	propose	VERB
easat-5993	42	5	a	a	DET
easat-5993	42	6	comprehensive	comprehensive	ADJ
easat-5993	42	7	examination	examination	NOUN
easat-5993	42	8	of	of	ADP
easat-5993	42	9	contemporary	contemporary	PROPN
easat-5993	42	10	cnn	cnn	PROPN
easat-5993	42	11	architectures	architecture	NOUN
easat-5993	42	12	to	to	PART
easat-5993	42	13	recognize	recognize	VERB
easat-5993	42	14	covid-19	covid-19	PROPN
easat-5993	42	15	situations	situation	NOUN
easat-5993	42	16	from	from	ADP
easat-5993	42	17	non	non	ADJ
easat-5993	42	18	-	-	ADJ
easat-5993	42	19	covid	covid	ADJ
easat-5993	42	20	cases	case	NOUN
easat-5993	42	21	.	.	PUNCT
easat-5993	43	1	based	base	VERB
easat-5993	43	2	on	on	ADP
easat-5993	43	3	the	the	DET
easat-5993	43	4	studies	study	NOUN
easat-5993	43	5	,	,	PUNCT
easat-5993	43	6	it	it	PRON
easat-5993	43	7	has	have	AUX
easat-5993	43	8	been	be	AUX
easat-5993	43	9	seen	see	VERB
easat-5993	43	10	that	that	SCONJ
easat-5993	43	11	using	use	VERB
easat-5993	43	12	deep	deep	ADJ
easat-5993	43	13	learning	learning	NOUN
easat-5993	43	14	methods	method	NOUN
easat-5993	43	15	in	in	ADP
easat-5993	43	16	conjunction	conjunction	NOUN
easat-5993	43	17	with	with	ADP
easat-5993	43	18	radiograph	radiograph	ADJ
easat-5993	43	19	pictures	picture	NOUN
easat-5993	43	20	has	have	AUX
easat-5993	43	21	promised	promise	VERB
easat-5993	43	22	a	a	DET
easat-5993	43	23	viable	viable	ADJ
easat-5993	43	24	approach	approach	NOUN
easat-5993	43	25	to	to	ADP
easat-5993	43	26	identifying	identify	VERB
easat-5993	43	27	covid-19	covid-19	PROPN
easat-5993	43	28	.	.	PUNCT
easat-5993	44	1	much	much	ADJ
easat-5993	44	2	research	research	NOUN
easat-5993	44	3	focused	focus	VERB
easat-5993	44	4	on	on	ADP
easat-5993	44	5	diagnosing	diagnose	VERB
easat-5993	44	6	covid-19	covid-19	PROPN
easat-5993	44	7	using	use	VERB
easat-5993	44	8	dl	dl	PROPN
easat-5993	44	9	approaches	approach	NOUN
easat-5993	44	10	mainly	mainly	ADV
easat-5993	44	11	uses	use	VERB
easat-5993	44	12	cnns	cnn	NOUN
easat-5993	44	13	,	,	PUNCT
easat-5993	44	14	as	as	SCONJ
easat-5993	44	15	the	the	DET
easat-5993	44	16	literature	literature	NOUN
easat-5993	44	17	reviewed	review	VERB
easat-5993	44	18	in	in	ADP
easat-5993	44	19	the	the	DET
easat-5993	44	20	related	relate	VERB
easat-5993	44	21	works	work	NOUN
easat-5993	44	22	section	section	NOUN
easat-5993	44	23	shows	show	NOUN
easat-5993	44	24	.	.	PUNCT
easat-5993	45	1	cnns	cnns	PROPN
easat-5993	45	2	can	can	AUX
easat-5993	45	3	acquire	acquire	VERB
easat-5993	45	4	localized	localize	VERB
easat-5993	45	5	temporal	temporal	ADJ
easat-5993	45	6	or	or	CCONJ
easat-5993	45	7	geographical	geographical	ADJ
easat-5993	45	8	input	input	NOUN
easat-5993	45	9	responses	response	NOUN
easat-5993	45	10	.	.	PUNCT
easat-5993	46	1	however	however	ADV
easat-5993	46	2	,	,	PUNCT
easat-5993	46	3	they	they	PRON
easat-5993	46	4	are	be	AUX
easat-5993	46	5	limited	limit	VERB
easat-5993	46	6	in	in	ADP
easat-5993	46	7	their	their	PRON
easat-5993	46	8	capacity	capacity	NOUN
easat-5993	46	9	to	to	PART
easat-5993	46	10	learn	learn	VERB
easat-5993	46	11	sequential	sequential	ADJ
easat-5993	46	12	connections	connection	NOUN
easat-5993	46	13	.	.	PUNCT
easat-5993	47	1	the	the	DET
easat-5993	47	2	efficacy	efficacy	NOUN
easat-5993	47	3	of	of	ADP
easat-5993	47	4	existing	exist	VERB
easat-5993	47	5	approaches	approach	NOUN
easat-5993	47	6	in	in	ADP
easat-5993	47	7	advancing	advance	VERB
easat-5993	47	8	dl	dl	PROPN
easat-5993	47	9	algorithms	algorithms	NOUN
easat-5993	47	10	is	be	AUX
easat-5993	47	11	a	a	DET
easat-5993	47	12	significant	significant	ADJ
easat-5993	47	13	challenge	challenge	NOUN
easat-5993	47	14	.	.	PUNCT
easat-5993	48	1	given	give	VERB
easat-5993	48	2	the	the	DET
easat-5993	48	3	criticality	criticality	NOUN
easat-5993	48	4	of	of	ADP
easat-5993	48	5	precision	precision	NOUN
easat-5993	48	6	in	in	ADP
easat-5993	48	7	intelligent	intelligent	ADJ
easat-5993	48	8	medical	medical	ADJ
easat-5993	48	9	systems	system	NOUN
easat-5993	48	10	,	,	PUNCT
easat-5993	48	11	an	an	DET
easat-5993	48	12	exact	exact	ADJ
easat-5993	48	13	model	model	NOUN
easat-5993	48	14	has	have	AUX
easat-5993	48	15	been	be	AUX
easat-5993	48	16	developed	develop	VERB
easat-5993	48	17	to	to	PART
easat-5993	48	18	tackle	tackle	VERB
easat-5993	48	19	this	this	DET
easat-5993	48	20	issue	issue	NOUN
easat-5993	48	21	effectively	effectively	ADV
easat-5993	48	22	.	.	PUNCT
easat-5993	49	1	the	the	DET
easat-5993	49	2	study	study	NOUN
easat-5993	49	3	proposed	propose	VERB
easat-5993	49	4	using	use	VERB
easat-5993	49	5	a	a	DET
easat-5993	49	6	modified	modify	VERB
easat-5993	49	7	greywolf	greywolf	NOUN
easat-5993	49	8	optimizer	optimizer	NOUN
easat-5993	49	9	algorithm	algorithm	NOUN
easat-5993	49	10	fu	fu	PROPN
easat-5993	49	11	,	,	PUNCT
easat-5993	49	12	et	et	PROPN
easat-5993	49	13	al	al	PROPN
easat-5993	49	14	.	.	PUNCT
easat-5993	50	1	[	[	X
easat-5993	50	2	9	9	NUM
easat-5993	50	3	]	]	PUNCT
easat-5993	50	4	in	in	ADP
easat-5993	50	5	conjunction	conjunction	NOUN
easat-5993	50	6	with	with	ADP
easat-5993	50	7	cnn	cnn	PROPN
easat-5993	50	8	(	(	PUNCT
easat-5993	50	9	mgwo	mgwo	NOUN
easat-5993	50	10	-	-	PUNCT
easat-5993	50	11	cnn	cnn	PROPN
easat-5993	50	12	)	)	PUNCT
easat-5993	50	13	to	to	PART
easat-5993	50	14	analyze	analyze	VERB
easat-5993	50	15	chest	chest	NOUN
easat-5993	50	16	x	x	NOUN
easat-5993	50	17	-	-	NOUN
easat-5993	50	18	ray	ray	NOUN
easat-5993	50	19	images	image	NOUN
easat-5993	50	20	.	.	PUNCT
easat-5993	51	1	image	image	NOUN
easat-5993	51	2	characteristics	characteristic	NOUN
easat-5993	51	3	are	be	AUX
easat-5993	51	4	often	often	ADV
easat-5993	51	5	created	create	VERB
easat-5993	51	6	using	use	VERB
easat-5993	51	7	automated	automate	VERB
easat-5993	51	8	dl	dl	PROPN
easat-5993	51	9	algorithms	algorithm	NOUN
easat-5993	51	10	.	.	PUNCT
easat-5993	52	1	the	the	DET
easat-5993	52	2	research	research	NOUN
easat-5993	52	3	focused	focus	VERB
easat-5993	52	4	on	on	ADP
easat-5993	52	5	deep	deep	ADJ
easat-5993	52	6	learning	learning	NOUN
easat-5993	52	7	processes	process	NOUN
easat-5993	52	8	as	as	ADP
easat-5993	52	9	a	a	DET
easat-5993	52	10	significant	significant	ADJ
easat-5993	52	11	visual	visual	ADJ
easat-5993	52	12	separation	separation	NOUN
easat-5993	52	13	tool	tool	NOUN
easat-5993	52	14	that	that	PRON
easat-5993	52	15	has	have	AUX
easat-5993	52	16	emerged	emerge	VERB
easat-5993	52	17	in	in	ADP
easat-5993	52	18	recent	recent	ADJ
easat-5993	52	19	years	year	NOUN
easat-5993	52	20	.	.	PUNCT
easat-5993	53	1	cnn	cnn	PROPN
easat-5993	53	2	has	have	AUX
easat-5993	53	3	achieved	achieve	VERB
easat-5993	53	4	tremendous	tremendous	ADJ
easat-5993	53	5	progress	progress	NOUN
easat-5993	53	6	in	in	ADP
easat-5993	53	7	digital	digital	ADJ
easat-5993	53	8	image	image	NOUN
easat-5993	53	9	learning	learning	NOUN
easat-5993	53	10	activities	activity	NOUN
easat-5993	53	11	[	[	X
easat-5993	53	12	30	30	NUM
easat-5993	53	13	]	]	PUNCT
easat-5993	53	14	.	.	PUNCT
easat-5993	54	1	the	the	DET
easat-5993	54	2	need	need	NOUN
easat-5993	54	3	for	for	ADP
easat-5993	54	4	human	human	ADJ
easat-5993	54	5	removal	removal	NOUN
easat-5993	54	6	of	of	ADP
easat-5993	54	7	features	feature	NOUN
easat-5993	54	8	by	by	ADP
easat-5993	54	9	image	image	NOUN
easat-5993	54	10	alteration	alteration	NOUN
easat-5993	54	11	or	or	CCONJ
easat-5993	54	12	encryption	encryption	NOUN
easat-5993	54	13	techniques	technique	NOUN
easat-5993	54	14	has	have	AUX
easat-5993	54	15	been	be	AUX
easat-5993	54	16	prevented	prevent	VERB
easat-5993	54	17	by	by	ADP
easat-5993	54	18	the	the	DET
easat-5993	54	19	advent	advent	NOUN
easat-5993	54	20	of	of	ADP
easat-5993	54	21	cnns	cnn	NOUN
easat-5993	54	22	,	,	PUNCT
easat-5993	54	23	which	which	PRON
easat-5993	54	24	provide	provide	VERB
easat-5993	54	25	an	an	DET
easat-5993	54	26	integrated	integrate	VERB
easat-5993	54	27	and	and	CCONJ
easat-5993	54	28	automated	automate	VERB
easat-5993	54	29	solution	solution	NOUN
easat-5993	54	30	for	for	ADP
easat-5993	54	31	rendering	rendering	NOUN
easat-5993	54	32	and	and	CCONJ
easat-5993	54	33	feature	feature	NOUN
easat-5993	54	34	extraction	extraction	NOUN
easat-5993	54	35	.	.	PUNCT
easat-5993	55	1	consequently	consequently	ADV
easat-5993	55	2	,	,	PUNCT
easat-5993	55	3	diverse	diverse	ADJ
easat-5993	55	4	,	,	PUNCT
easat-5993	55	5	comprehensive	comprehensive	ADJ
easat-5993	55	6	cognitive	cognitive	ADJ
easat-5993	55	7	approaches	approach	NOUN
easat-5993	55	8	rooted	root	VERB
easat-5993	55	9	in	in	ADP
easat-5993	55	10	dl	dl	PROPN
easat-5993	55	11	have	have	AUX
easat-5993	55	12	been	be	AUX
easat-5993	55	13	developed	develop	VERB
easat-5993	55	14	.	.	PUNCT
easat-5993	56	1	this	this	DET
easat-5993	56	2	study	study	NOUN
easat-5993	56	3	aims	aim	VERB
easat-5993	56	4	to	to	PART
easat-5993	56	5	assess	assess	VERB
easat-5993	56	6	the	the	DET
easat-5993	56	7	accuracy	accuracy	NOUN
easat-5993	56	8	of	of	ADP
easat-5993	56	9	a	a	DET
easat-5993	56	10	combination	combination	NOUN
easat-5993	56	11	approach	approach	NOUN
easat-5993	56	12	,	,	PUNCT
easat-5993	56	13	including	include	VERB
easat-5993	56	14	the	the	DET
easat-5993	56	15	mgwo	mgwo	ADJ
easat-5993	56	16	algorithm	algorithm	NOUN
easat-5993	56	17	and	and	CCONJ
easat-5993	56	18	cnn	cnn	PROPN
easat-5993	56	19	,	,	PUNCT
easat-5993	56	20	for	for	ADP
easat-5993	56	21	feature	feature	NOUN
easat-5993	56	22	categorization	categorization	NOUN
easat-5993	56	23	.	.	PUNCT
easat-5993	57	1	using	use	VERB
easat-5993	57	2	both	both	CCONJ
easat-5993	57	3	transfer	transfer	NOUN
easat-5993	57	4	functions	function	NOUN
easat-5993	57	5	,	,	PUNCT
easat-5993	57	6	as	as	SCONJ
easat-5993	57	7	opposed	oppose	VERB
easat-5993	57	8	to	to	ADP
easat-5993	57	9	just	just	ADV
easat-5993	57	10	one	one	NUM
easat-5993	57	11	,	,	PUNCT
easat-5993	57	12	enhances	enhance	VERB
easat-5993	57	13	the	the	DET
easat-5993	57	14	efficacy	efficacy	NOUN
easat-5993	57	15	of	of	ADP
easat-5993	57	16	the	the	DET
easat-5993	57	17	algorithm	algorithm	NOUN
easat-5993	57	18	under	under	ADP
easat-5993	57	19	consideration	consideration	NOUN
easat-5993	57	20	.	.	PUNCT
easat-5993	58	1	furthermore	furthermore	ADV
easat-5993	58	2	,	,	PUNCT
easat-5993	58	3	the	the	DET
easat-5993	58	4	relevant	relevant	ADJ
easat-5993	58	5	parameters	parameter	NOUN
easat-5993	58	6	eldred‐evans	eldred‐evan	NOUN
easat-5993	58	7	,	,	PUNCT
easat-5993	58	8	et	et	PROPN
easat-5993	58	9	al	al	PROPN
easat-5993	58	10	.	.	PUNCT
easat-5993	59	1	[	[	X
easat-5993	59	2	31	31	NUM
easat-5993	59	3	]	]	PUNCT
easat-5993	59	4	for	for	ADP
easat-5993	59	5	updating	update	VERB
easat-5993	59	6	the	the	DET
easat-5993	59	7	attributes	attribute	NOUN
easat-5993	59	8	throughout	throughout	ADP
easat-5993	59	9	the	the	DET
easat-5993	59	10	exploration	exploration	NOUN
easat-5993	59	11	of	of	ADP
easat-5993	59	12	mgwo	mgwo	NOUN
easat-5993	59	13	or	or	CCONJ
easat-5993	59	14	cnn	cnn	PROPN
easat-5993	59	15	have	have	AUX
easat-5993	59	16	been	be	AUX
easat-5993	59	17	meticulously	meticulously	ADV
easat-5993	59	18	chosen	choose	VERB
easat-5993	59	19	,	,	PUNCT
easat-5993	59	20	as	as	SCONJ
easat-5993	59	21	shown	show	VERB
easat-5993	59	22	by	by	ADP
easat-5993	59	23	the	the	DET
easat-5993	59	24	experiments	experiment	NOUN
easat-5993	59	25	.	.	PUNCT
easat-5993	60	1	datasets	dataset	NOUN
easat-5993	60	2	characterized	characterize	VERB
easat-5993	60	3	by	by	ADP
easat-5993	60	4	a	a	DET
easat-5993	60	5	high	high	ADJ
easat-5993	60	6	dimensionality	dimensionality	NOUN
easat-5993	60	7	exhibit	exhibit	VERB
easat-5993	60	8	a	a	DET
easat-5993	60	9	diminished	diminished	ADJ
easat-5993	60	10	level	level	NOUN
easat-5993	60	11	of	of	ADP
easat-5993	60	12	accuracy	accuracy	NOUN
easat-5993	60	13	in	in	ADP
easat-5993	60	14	their	their	PRON
easat-5993	60	15	categorization	categorization	NOUN
easat-5993	60	16	.	.	PUNCT
easat-5993	61	1	identifying	identify	VERB
easat-5993	61	2	and	and	CCONJ
easat-5993	61	3	selecting	select	VERB
easat-5993	61	4	the	the	DET
easat-5993	61	5	most	most	ADV
easat-5993	61	6	informative	informative	ADJ
easat-5993	61	7	and	and	CCONJ
easat-5993	61	8	valuable	valuable	ADJ
easat-5993	61	9	characteristics	characteristic	NOUN
easat-5993	61	10	from	from	ADP
easat-5993	61	11	chest	chest	NOUN
easat-5993	61	12	x	x	NOUN
easat-5993	61	13	-	-	NOUN
easat-5993	61	14	ray	ray	NOUN
easat-5993	61	15	datasets	dataset	NOUN
easat-5993	61	16	is	be	AUX
easat-5993	61	17	often	often	ADV
easat-5993	61	18	called	call	VERB
easat-5993	61	19	feature	feature	NOUN
easat-5993	61	20	selection	selection	NOUN
easat-5993	61	21	(	(	PUNCT
easat-5993	61	22	fs	fs	NOUN
easat-5993	61	23	)	)	PUNCT
easat-5993	61	24	.	.	PUNCT
easat-5993	62	1	the	the	DET
easat-5993	62	2	use	use	NOUN
easat-5993	62	3	of	of	ADP
easat-5993	62	4	this	this	DET
easat-5993	62	5	technique	technique	NOUN
easat-5993	62	6	serves	serve	VERB
easat-5993	62	7	to	to	PART
easat-5993	62	8	improve	improve	VERB
easat-5993	62	9	the	the	DET
easat-5993	62	10	precision	precision	NOUN
easat-5993	62	11	of	of	ADP
easat-5993	62	12	predictions	prediction	NOUN
easat-5993	62	13	and	and	CCONJ
easat-5993	62	14	decrease	decrease	VERB
easat-5993	62	15	the	the	DET
easat-5993	62	16	number	number	NOUN
easat-5993	62	17	of	of	ADP
easat-5993	62	18	attributes	attribute	NOUN
easat-5993	62	19	involved	involve	VERB
easat-5993	62	20	.	.	PUNCT
easat-5993	63	1	the	the	DET
easat-5993	63	2	core	core	NOUN
easat-5993	63	3	objective	objective	NOUN
easat-5993	63	4	of	of	ADP
easat-5993	63	5	the	the	DET
easat-5993	63	6	presented	present	VERB
easat-5993	63	7	approach	approach	NOUN
easat-5993	63	8	is	be	AUX
easat-5993	63	9	to	to	PART
easat-5993	63	10	advance	advance	VERB
easat-5993	63	11	the	the	DET
easat-5993	63	12	efficacy	efficacy	NOUN
easat-5993	63	13	of	of	ADP
easat-5993	63	14	the	the	DET
easat-5993	63	15	feature	feature	NOUN
easat-5993	63	16	selection	selection	NOUN
easat-5993	63	17	(	(	PUNCT
easat-5993	63	18	fs	fs	NOUN
easat-5993	63	19	)	)	PUNCT
easat-5993	63	20	methodology	methodology	NOUN
easat-5993	63	21	[	[	X
easat-5993	63	22	32	32	NUM
easat-5993	63	23	]	]	PUNCT
easat-5993	63	24	.	.	PUNCT
easat-5993	64	1	this	this	DET
easat-5993	64	2	research	research	NOUN
easat-5993	64	3	offers	offer	VERB
easat-5993	64	4	a	a	DET
easat-5993	64	5	novel	novel	ADJ
easat-5993	64	6	approach	approach	NOUN
easat-5993	64	7	that	that	PRON
easat-5993	64	8	utilizes	utilize	VERB
easat-5993	64	9	a	a	DET
easat-5993	64	10	modified	modified	ADJ
easat-5993	64	11	grey	grey	NOUN
easat-5993	64	12	wolf	wolf	PROPN
easat-5993	64	13	optimization	optimization	NOUN
easat-5993	64	14	(	(	PUNCT
easat-5993	64	15	mgwo	mgwo	NOUN
easat-5993	64	16	)	)	PUNCT
easat-5993	64	17	strategy	strategy	NOUN
easat-5993	64	18	in	in	ADP
easat-5993	64	19	conjunction	conjunction	NOUN
easat-5993	64	20	with	with	ADP
easat-5993	64	21	cnn	cnn	PROPN
easat-5993	64	22	to	to	PART
easat-5993	64	23	decrease	decrease	VERB
easat-5993	64	24	the	the	DET
easat-5993	64	25	number	number	NOUN
easat-5993	64	26	of	of	ADP
easat-5993	64	27	features	feature	NOUN
easat-5993	64	28	and	and	CCONJ
easat-5993	64	29	accurately	accurately	ADV
easat-5993	64	30	diagnose	diagnose	VERB
easat-5993	64	31	covid	covid	NOUN
easat-5993	64	32	.	.	PUNCT
easat-5993	65	1	the	the	DET
easat-5993	65	2	core	core	ADJ
easat-5993	65	3	contributions	contribution	NOUN
easat-5993	65	4	of	of	ADP
easat-5993	65	5	this	this	DET
easat-5993	65	6	study	study	NOUN
easat-5993	65	7	are	be	AUX
easat-5993	65	8	summarized	summarize	VERB
easat-5993	65	9	as	as	ADP
easat-5993	65	10	given	give	VERB
easat-5993	65	11	below	below	ADV
easat-5993	65	12	:	:	PUNCT
easat-5993	65	13	a.	a.	NOUN
easat-5993	65	14	a	a	DET
easat-5993	65	15	modified	modify	VERB
easat-5993	65	16	greywolf	greywolf	NOUN
easat-5993	65	17	optimizer	optimizer	NOUN
easat-5993	65	18	(	(	PUNCT
easat-5993	65	19	mgwo	mgwo	NOUN
easat-5993	65	20	)	)	PUNCT
easat-5993	65	21	algorithm	algorithm	PROPN
easat-5993	65	22	b.	b.	PROPN
easat-5993	66	1	the	the	DET
easat-5993	66	2	mgwo	mgwo	PROPN
easat-5993	66	3	optimization	optimization	NOUN
easat-5993	66	4	algorithm	algorithm	NOUN
easat-5993	66	5	was	be	AUX
easat-5993	66	6	used	use	VERB
easat-5993	66	7	to	to	PART
easat-5993	66	8	tune	tune	VERB
easat-5993	66	9	cnn	cnn	PROPN
easat-5993	66	10	's	's	PART
easat-5993	66	11	hyperparameters	hyperparameter	NOUN
easat-5993	66	12	.	.	PUNCT
easat-5993	67	1	c.	c.	NOUN
easat-5993	67	2	a	a	DET
easat-5993	67	3	comprehensive	comprehensive	ADJ
easat-5993	67	4	comparison	comparison	NOUN
easat-5993	67	5	study	study	NOUN
easat-5993	67	6	is	be	AUX
easat-5993	67	7	conducted	conduct	VERB
easat-5993	67	8	to	to	PART
easat-5993	67	9	establish	establish	VERB
easat-5993	67	10	the	the	DET
easat-5993	67	11	effectiveness	effectiveness	NOUN
easat-5993	67	12	of	of	ADP
easat-5993	67	13	the	the	DET
easat-5993	67	14	recommended	recommend	VERB
easat-5993	67	15	method	method	NOUN
easat-5993	67	16	by	by	ADP
easat-5993	67	17	comparing	compare	VERB
easat-5993	67	18	the	the	DET
easat-5993	67	19	optimized	optimize	VERB
easat-5993	67	20	and	and	CCONJ
easat-5993	67	21	un	un	ADJ
easat-5993	67	22	-	-	ADJ
easat-5993	67	23	optimized	optimize	VERB
easat-5993	67	24	cnn	cnn	PROPN
easat-5993	67	25	.	.	PUNCT
easat-5993	68	1	the	the	DET
easat-5993	68	2	successive	successive	ADJ
easat-5993	68	3	sections	section	NOUN
easat-5993	68	4	of	of	ADP
easat-5993	68	5	the	the	DET
easat-5993	68	6	article	article	NOUN
easat-5993	68	7	are	be	AUX
easat-5993	68	8	organized	organize	VERB
easat-5993	68	9	subsequently	subsequently	ADV
easat-5993	68	10	.	.	PUNCT
easat-5993	69	1	section	section	NOUN
easat-5993	69	2	2	2	NUM
easat-5993	69	3	delivers	deliver	VERB
easat-5993	69	4	a	a	DET
easat-5993	69	5	summary	summary	NOUN
easat-5993	69	6	of	of	ADP
easat-5993	69	7	the	the	DET
easat-5993	69	8	existing	exist	VERB
easat-5993	69	9	investigations	investigation	NOUN
easat-5993	69	10	on	on	ADP
easat-5993	69	11	the	the	DET
easat-5993	69	12	covid-19	covid-19	PROPN
easat-5993	69	13	pandemic	pandemic	NOUN
easat-5993	69	14	.	.	PUNCT
easat-5993	70	1	the	the	DET
easat-5993	70	2	approach	approach	NOUN
easat-5993	70	3	and	and	CCONJ
easat-5993	70	4	dataset	dataset	NOUN
easat-5993	70	5	are	be	AUX
easat-5993	70	6	discussed	discuss	VERB
easat-5993	70	7	in	in	ADP
easat-5993	70	8	section	section	NOUN
easat-5993	70	9	3	3	NUM
easat-5993	70	10	.	.	PUNCT
easat-5993	71	1	the	the	DET
easat-5993	71	2	assessment	assessment	NOUN
easat-5993	71	3	of	of	ADP
easat-5993	71	4	performance	performance	NOUN
easat-5993	71	5	and	and	CCONJ
easat-5993	71	6	the	the	DET
easat-5993	71	7	corresponding	correspond	VERB
easat-5993	71	8	outcomes	outcome	NOUN
easat-5993	71	9	are	be	AUX
easat-5993	71	10	obtainable	obtainable	ADJ
easat-5993	71	11	in	in	ADP
easat-5993	71	12	section	section	NOUN
easat-5993	71	13	4	4	NUM
easat-5993	71	14	.	.	PUNCT
easat-5993	72	1	the	the	DET
easat-5993	72	2	research	research	NOUN
easat-5993	72	3	findings	finding	NOUN
easat-5993	72	4	are	be	AUX
easat-5993	72	5	discussed	discuss	VERB
easat-5993	72	6	in	in	ADP
easat-5993	72	7	section	section	NOUN
easat-5993	72	8	5	5	NUM
easat-5993	72	9	,	,	PUNCT
easat-5993	72	10	compared	compare	VERB
easat-5993	72	11	with	with	ADP
easat-5993	72	12	earlier	early	ADJ
easat-5993	72	13	research	research	NOUN
easat-5993	72	14	.	.	PUNCT
easat-5993	73	1	chapter	chapter	NOUN
easat-5993	73	2	6	6	NUM
easat-5993	73	3	serves	serve	VERB
easat-5993	73	4	as	as	ADP
easat-5993	73	5	the	the	DET
easat-5993	73	6	concluding	concluding	NOUN
easat-5993	73	7	section	section	NOUN
easat-5993	73	8	of	of	ADP
easat-5993	73	9	the	the	DET
easat-5993	73	10	essay	essay	NOUN
easat-5993	73	11	,	,	PUNCT
easat-5993	73	12	offering	offer	VERB
easat-5993	73	13	insights	insight	NOUN
easat-5993	73	14	into	into	ADP
easat-5993	73	15	potential	potential	ADJ
easat-5993	73	16	future	future	ADJ
easat-5993	73	17	endeavours	endeavour	NOUN
easat-5993	73	18	.	.	PUNCT
easat-5993	74	1	381	381	NUM
easat-5993	74	2	edelweiss	edelweiss	PROPN
easat-5993	74	3	applied	apply	VERB
easat-5993	74	4	science	science	NOUN
easat-5993	74	5	and	and	CCONJ
easat-5993	74	6	technology	technology	NOUN
easat-5993	74	7	issn	issn	PROPN
easat-5993	74	8	:	:	PUNCT
easat-5993	74	9	2576	2576	NUM
easat-5993	74	10	-	-	SYM
easat-5993	74	11	8484	8484	NUM
easat-5993	74	12	vol	vol	NOUN
easat-5993	74	13	.	.	PROPN
easat-5993	75	1	9	9	NUM
easat-5993	75	2	,	,	PUNCT
easat-5993	75	3	no	no	INTJ
easat-5993	75	4	.	.	NOUN
easat-5993	75	5	4	4	NUM
easat-5993	75	6	:	:	PUNCT
easat-5993	75	7	379	379	NUM
easat-5993	75	8	-	-	SYM
easat-5993	75	9	394	394	NUM
easat-5993	75	10	,	,	PUNCT
easat-5993	75	11	2025	2025	NUM
easat-5993	75	12	doi	doi	NOUN
easat-5993	75	13	:	:	PUNCT
easat-5993	75	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	75	15	©	©	ADP
easat-5993	75	16	2025	2025	NUM
easat-5993	75	17	by	by	ADP
easat-5993	75	18	the	the	DET
easat-5993	75	19	authors	author	NOUN
easat-5993	75	20	;	;	PUNCT
easat-5993	75	21	licensee	licensee	PROPN
easat-5993	75	22	learning	learning	NOUN
easat-5993	75	23	gate	gate	NOUN
easat-5993	75	24	2	2	NUM
easat-5993	75	25	.	.	PUNCT
easat-5993	75	26	related	relate	VERB
easat-5993	75	27	works	work	NOUN
easat-5993	75	28	within	within	ADP
easat-5993	75	29	the	the	DET
easat-5993	75	30	realm	realm	NOUN
easat-5993	75	31	of	of	ADP
easat-5993	75	32	literature	literature	NOUN
easat-5993	75	33	,	,	PUNCT
easat-5993	75	34	several	several	ADJ
easat-5993	75	35	studies	study	NOUN
easat-5993	75	36	have	have	AUX
easat-5993	75	37	been	be	AUX
easat-5993	75	38	conducted	conduct	VERB
easat-5993	75	39	on	on	ADP
easat-5993	75	40	utilizing	utilize	VERB
easat-5993	75	41	artificial	artificial	ADJ
easat-5993	75	42	intelligence	intelligence	NOUN
easat-5993	75	43	(	(	PUNCT
easat-5993	75	44	ai	ai	NOUN
easat-5993	75	45	)	)	PUNCT
easat-5993	75	46	for	for	ADP
easat-5993	75	47	a	a	DET
easat-5993	75	48	range	range	NOUN
easat-5993	75	49	of	of	ADP
easat-5993	75	50	objectives	objective	NOUN
easat-5993	75	51	,	,	PUNCT
easat-5993	75	52	including	include	VERB
easat-5993	75	53	the	the	DET
easat-5993	75	54	detection	detection	NOUN
easat-5993	75	55	of	of	ADP
easat-5993	75	56	alzheimer	alzheimer	PROPN
easat-5993	75	57	's	's	PART
easat-5993	75	58	illness	illness	NOUN
easat-5993	75	59	,	,	PUNCT
easat-5993	75	60	estimate	estimate	NOUN
easat-5993	75	61	of	of	ADP
easat-5993	75	62	cancer	cancer	NOUN
easat-5993	75	63	,	,	PUNCT
easat-5993	75	64	analysis	analysis	NOUN
easat-5993	75	65	of	of	ADP
easat-5993	75	66	biopsies	biopsy	NOUN
easat-5993	75	67	,	,	PUNCT
easat-5993	75	68	and	and	CCONJ
easat-5993	75	69	examination	examination	NOUN
easat-5993	75	70	of	of	ADP
easat-5993	75	71	dermoscopy	dermoscopy	NOUN
easat-5993	75	72	,	,	PUNCT
easat-5993	75	73	among	among	ADP
easat-5993	75	74	others	other	NOUN
easat-5993	75	75	[	[	X
easat-5993	75	76	31	31	NUM
easat-5993	75	77	-	-	SYM
easat-5993	75	78	38	38	NUM
easat-5993	75	79	]	]	PUNCT
easat-5993	75	80	.	.	PUNCT
easat-5993	76	1	in	in	ADP
easat-5993	76	2	contemporary	contemporary	PROPN
easat-5993	76	3	times	times	PROPN
easat-5993	76	4	,	,	PUNCT
easat-5993	76	5	the	the	DET
easat-5993	76	6	covid-19	covid-19	PROPN
easat-5993	76	7	epidemic	epidemic	NOUN
easat-5993	76	8	has	have	AUX
easat-5993	76	9	significantly	significantly	ADV
easat-5993	76	10	burdened	burden	VERB
easat-5993	76	11	healthcare	healthcare	NOUN
easat-5993	76	12	professionals	professional	NOUN
easat-5993	76	13	.	.	PUNCT
easat-5993	77	1	consequently	consequently	ADV
easat-5993	77	2	,	,	PUNCT
easat-5993	77	3	the	the	DET
easat-5993	77	4	assistance	assistance	NOUN
easat-5993	77	5	provided	provide	VERB
easat-5993	77	6	by	by	ADP
easat-5993	77	7	artificial	artificial	ADJ
easat-5993	77	8	intelligence	intelligence	NOUN
easat-5993	77	9	to	to	ADP
easat-5993	77	10	doctors	doctor	NOUN
easat-5993	77	11	enhances	enhance	VERB
easat-5993	77	12	the	the	DET
easat-5993	77	13	efficacy	efficacy	NOUN
easat-5993	77	14	and	and	CCONJ
easat-5993	77	15	soundness	soundness	NOUN
easat-5993	77	16	of	of	ADP
easat-5993	77	17	their	their	PRON
easat-5993	77	18	jobs	job	NOUN
easat-5993	77	19	and	and	CCONJ
easat-5993	77	20	decision	decision	NOUN
easat-5993	77	21	-	-	PUNCT
easat-5993	77	22	making	make	VERB
easat-5993	77	23	processes	process	NOUN
easat-5993	77	24	.	.	PUNCT
easat-5993	78	1	in	in	ADP
easat-5993	78	2	the	the	DET
easat-5993	78	3	present	present	ADJ
easat-5993	78	4	context	context	NOUN
easat-5993	78	5	,	,	PUNCT
easat-5993	78	6	scholarly	scholarly	ADJ
easat-5993	78	7	literature	literature	NOUN
easat-5993	78	8	presents	present	VERB
easat-5993	78	9	a	a	DET
easat-5993	78	10	range	range	NOUN
easat-5993	78	11	of	of	ADP
easat-5993	78	12	methodologies	methodology	NOUN
easat-5993	78	13	that	that	PRON
easat-5993	78	14	have	have	AUX
easat-5993	78	15	been	be	AUX
easat-5993	78	16	suggested	suggest	VERB
easat-5993	78	17	for	for	ADP
easat-5993	78	18	the	the	DET
easat-5993	78	19	interpretation	interpretation	NOUN
easat-5993	78	20	of	of	ADP
easat-5993	78	21	x	x	NOUN
easat-5993	78	22	-	-	NOUN
easat-5993	78	23	ray	ray	NOUN
easat-5993	78	24	or	or	CCONJ
easat-5993	78	25	ct	ct	NUM
easat-5993	78	26	pictures	picture	NOUN
easat-5993	78	27	for	for	ADP
easat-5993	78	28	covid-19	covid-19	PROPN
easat-5993	78	29	.	.	PUNCT
easat-5993	79	1	several	several	ADJ
easat-5993	79	2	prior	prior	ADJ
easat-5993	79	3	investigations	investigation	NOUN
easat-5993	79	4	may	may	AUX
easat-5993	79	5	be	be	AUX
easat-5993	79	6	briefly	briefly	ADV
easat-5993	79	7	described	describe	VERB
easat-5993	79	8	as	as	SCONJ
easat-5993	79	9	follows	follow	VERB
easat-5993	79	10	:	:	PUNCT
easat-5993	80	1	khan	khan	PROPN
easat-5993	80	2	and	and	CCONJ
easat-5993	80	3	aslam	aslam	PROPN
easat-5993	80	4	ucar	ucar	PROPN
easat-5993	80	5	and	and	CCONJ
easat-5993	80	6	korkmaz	korkmaz	ADJ
easat-5993	81	1	[	[	X
easat-5993	81	2	39	39	NUM
easat-5993	81	3	]	]	PUNCT
easat-5993	81	4	introduced	introduce	VERB
easat-5993	81	5	a	a	DET
easat-5993	81	6	diagnostic	diagnostic	ADJ
easat-5993	81	7	tool	tool	NOUN
easat-5993	81	8	that	that	PRON
easat-5993	81	9	utilizes	utilize	VERB
easat-5993	81	10	dl	dl	PROPN
easat-5993	81	11	algorithms	algorithm	NOUN
easat-5993	81	12	to	to	PART
easat-5993	81	13	assist	assist	VERB
easat-5993	81	14	in	in	ADP
easat-5993	81	15	identifying	identify	VERB
easat-5993	81	16	covid-19	covid-19	PROPN
easat-5993	81	17	by	by	ADP
easat-5993	81	18	analysing	analyse	VERB
easat-5993	81	19	x	x	PROPN
easat-5993	81	20	-	-	NOUN
easat-5993	81	21	ray	ray	NOUN
easat-5993	81	22	pictures	picture	NOUN
easat-5993	81	23	.	.	PUNCT
easat-5993	82	1	the	the	DET
easat-5993	82	2	present	present	ADJ
easat-5993	82	3	research	research	NOUN
easat-5993	82	4	examined	examine	VERB
easat-5993	82	5	a	a	DET
easat-5993	82	6	selection	selection	NOUN
easat-5993	82	7	of	of	ADP
easat-5993	82	8	dl	dl	PROPN
easat-5993	82	9	approaches	approach	NOUN
easat-5993	82	10	.	.	PUNCT
easat-5993	83	1	conferring	confer	VERB
easat-5993	83	2	to	to	ADP
easat-5993	83	3	the	the	DET
easat-5993	83	4	research	research	NOUN
easat-5993	83	5	,	,	PUNCT
easat-5993	83	6	the	the	DET
easat-5993	83	7	vgg-16	vgg-16	NOUN
easat-5993	83	8	and	and	CCONJ
easat-5993	83	9	vgg-19	vgg-19	NUM
easat-5993	83	10	models	model	NOUN
easat-5993	83	11	exhibit	exhibit	VERB
easat-5993	83	12	superior	superior	ADJ
easat-5993	83	13	performance	performance	NOUN
easat-5993	83	14	compared	compare	VERB
easat-5993	83	15	to	to	ADP
easat-5993	83	16	other	other	ADJ
easat-5993	83	17	versions	version	NOUN
easat-5993	83	18	.	.	PUNCT
easat-5993	84	1	in	in	ADP
easat-5993	84	2	a	a	DET
easat-5993	84	3	study	study	NOUN
easat-5993	84	4	by	by	ADP
easat-5993	84	5	jaiswal	jaiswal	PROPN
easat-5993	84	6	and	and	CCONJ
easat-5993	84	7	bist	bist	NOUN
easat-5993	85	1	[	[	X
easat-5993	85	2	40	40	NUM
easat-5993	85	3	]	]	PUNCT
easat-5993	85	4	x	x	X
easat-5993	85	5	-	-	PUNCT
easat-5993	85	6	ray	ray	ADJ
easat-5993	85	7	pictures	picture	NOUN
easat-5993	85	8	were	be	AUX
easat-5993	85	9	used	use	VERB
easat-5993	85	10	to	to	PART
easat-5993	85	11	recognize	recognize	VERB
easat-5993	85	12	covid-19	covid-19	PROPN
easat-5993	85	13	by	by	ADP
easat-5993	85	14	implementing	implement	VERB
easat-5993	85	15	diverse	diverse	ADJ
easat-5993	85	16	dl	dl	PROPN
easat-5993	85	17	techniques	technique	NOUN
easat-5993	85	18	.	.	PUNCT
easat-5993	86	1	the	the	DET
easat-5993	86	2	research	research	NOUN
easat-5993	86	3	included	include	VERB
easat-5993	86	4	a	a	DET
easat-5993	86	5	comparison	comparison	NOUN
easat-5993	86	6	of	of	ADP
easat-5993	86	7	the	the	DET
easat-5993	86	8	performances	performance	NOUN
easat-5993	86	9	of	of	ADP
easat-5993	86	10	several	several	ADJ
easat-5993	86	11	cnn	cnn	PROPN
easat-5993	86	12	architectures	architecture	NOUN
easat-5993	86	13	.	.	PUNCT
easat-5993	87	1	furthermore	furthermore	ADV
easat-5993	87	2	,	,	PUNCT
easat-5993	87	3	the	the	DET
easat-5993	87	4	proposal	proposal	NOUN
easat-5993	87	5	to	to	PART
easat-5993	87	6	implement	implement	VERB
easat-5993	87	7	a	a	DET
easat-5993	87	8	majority	majority	NOUN
easat-5993	87	9	rule	rule	NOUN
easat-5993	87	10	was	be	AUX
easat-5993	87	11	an	an	DET
easat-5993	87	12	innovative	innovative	ADJ
easat-5993	87	13	strategy	strategy	NOUN
easat-5993	87	14	.	.	PUNCT
easat-5993	88	1	the	the	DET
easat-5993	88	2	highest	high	ADJ
easat-5993	88	3	recorded	record	VERB
easat-5993	88	4	effectiveness	effectiveness	NOUN
easat-5993	88	5	in	in	ADP
easat-5993	88	6	the	the	DET
easat-5993	88	7	article	article	NOUN
easat-5993	88	8	was	be	AUX
easat-5993	88	9	reported	report	VERB
easat-5993	88	10	as	as	ADP
easat-5993	88	11	98.96	98.96	NUM
easat-5993	88	12	%	%	NOUN
easat-5993	88	13	.	.	PUNCT
easat-5993	89	1	nour	nour	PROPN
easat-5993	89	2	,	,	PUNCT
easat-5993	89	3	et	et	PROPN
easat-5993	89	4	al	al	PROPN
easat-5993	89	5	.	.	PUNCT
easat-5993	90	1	[	[	X
easat-5993	90	2	35	35	NUM
easat-5993	90	3	]	]	PUNCT
easat-5993	90	4	introduced	introduce	VERB
easat-5993	90	5	a	a	DET
easat-5993	90	6	cnn	cnn	NOUN
easat-5993	90	7	architecture	architecture	NOUN
easat-5993	90	8	as	as	ADP
easat-5993	90	9	an	an	DET
easat-5993	90	10	automated	automate	VERB
easat-5993	90	11	diagnostic	diagnostic	ADJ
easat-5993	90	12	method	method	NOUN
easat-5993	90	13	for	for	ADP
easat-5993	90	14	recognising	recognise	VERB
easat-5993	90	15	positive	positive	ADJ
easat-5993	90	16	covid-19	covid-19	PROPN
easat-5993	90	17	cases	case	NOUN
easat-5993	90	18	using	use	VERB
easat-5993	90	19	x	x	NOUN
easat-5993	90	20	-	-	NOUN
easat-5993	90	21	ray	ray	NOUN
easat-5993	90	22	pictures	picture	NOUN
easat-5993	90	23	.	.	PUNCT
easat-5993	91	1	the	the	DET
easat-5993	91	2	presented	present	VERB
easat-5993	91	3	cnn	cnn	PROPN
easat-5993	91	4	model	model	NOUN
easat-5993	91	5	,	,	PUNCT
easat-5993	91	6	which	which	PRON
easat-5993	91	7	comprises	comprise	VERB
easat-5993	91	8	a	a	DET
easat-5993	91	9	serial	serial	ADJ
easat-5993	91	10	network	network	NOUN
easat-5993	91	11	with	with	ADP
easat-5993	91	12	five	five	NUM
easat-5993	91	13	convolutional	convolutional	ADJ
easat-5993	91	14	layers	layer	NOUN
easat-5993	91	15	,	,	PUNCT
easat-5993	91	16	was	be	AUX
easat-5993	91	17	trained	train	VERB
easat-5993	91	18	starting	start	VERB
easat-5993	91	19	with	with	ADP
easat-5993	91	20	the	the	DET
easat-5993	91	21	initial	initial	ADJ
easat-5993	91	22	weights	weight	NOUN
easat-5993	91	23	and	and	CCONJ
easat-5993	91	24	the	the	DET
easat-5993	91	25	cnn	cnn	PROPN
easat-5993	91	26	model	model	NOUN
easat-5993	91	27	was	be	AUX
easat-5993	91	28	utilized	utilize	VERB
easat-5993	91	29	to	to	PART
easat-5993	91	30	retrieve	retrieve	VERB
easat-5993	91	31	distinctive	distinctive	ADJ
easat-5993	91	32	characteristics	characteristic	NOUN
easat-5993	91	33	.	.	PUNCT
easat-5993	92	1	according	accord	VERB
easat-5993	92	2	to	to	ADP
easat-5993	92	3	the	the	DET
easat-5993	92	4	findings	finding	NOUN
easat-5993	92	5	,	,	PUNCT
easat-5993	92	6	the	the	DET
easat-5993	92	7	svm	svm	PROPN
easat-5993	92	8	classifier	classifier	NOUN
easat-5993	92	9	demonstrated	demonstrate	VERB
easat-5993	92	10	the	the	DET
easat-5993	92	11	highest	high	ADJ
easat-5993	92	12	efficiency	efficiency	NOUN
easat-5993	92	13	level	level	NOUN
easat-5993	92	14	,	,	PUNCT
easat-5993	92	15	ensuring	ensure	VERB
easat-5993	92	16	optimal	optimal	ADJ
easat-5993	92	17	outcomes	outcome	NOUN
easat-5993	92	18	with	with	ADP
easat-5993	92	19	an	an	DET
easat-5993	92	20	accuracy	accuracy	NOUN
easat-5993	92	21	rate	rate	NOUN
easat-5993	92	22	of	of	ADP
easat-5993	92	23	98.97	98.97	NUM
easat-5993	92	24	%	%	NOUN
easat-5993	92	25	.	.	PUNCT
easat-5993	93	1	chowdhury	chowdhury	PROPN
easat-5993	93	2	,	,	PUNCT
easat-5993	93	3	et	et	PROPN
easat-5993	93	4	al	al	PROPN
easat-5993	93	5	.	.	PUNCT
easat-5993	94	1	[	[	X
easat-5993	94	2	36	36	NUM
easat-5993	94	3	]	]	PUNCT
easat-5993	94	4	recommended	recommend	VERB
easat-5993	94	5	a	a	DET
easat-5993	94	6	deep	deep	ADJ
easat-5993	94	7	cnnbased	cnnbased	ADJ
easat-5993	94	8	transfer	transfer	NOUN
easat-5993	94	9	learning	learning	NOUN
easat-5993	94	10	(	(	PUNCT
easat-5993	94	11	tl	tl	PROPN
easat-5993	94	12	)	)	PUNCT
easat-5993	94	13	method	method	NOUN
easat-5993	94	14	for	for	ADP
easat-5993	94	15	the	the	DET
easat-5993	94	16	automated	automate	VERB
easat-5993	94	17	identification	identification	NOUN
easat-5993	94	18	of	of	ADP
easat-5993	94	19	covid-19	covid-19	PROPN
easat-5993	94	20	pneumonia	pneumonia	NOUN
easat-5993	94	21	via	via	ADP
easat-5993	94	22	the	the	DET
easat-5993	94	23	analysis	analysis	NOUN
easat-5993	94	24	of	of	ADP
easat-5993	94	25	x	x	NOUN
easat-5993	94	26	-	-	NOUN
easat-5993	94	27	ray	ray	NOUN
easat-5993	94	28	pictures	picture	NOUN
easat-5993	94	29	.	.	PUNCT
easat-5993	95	1	eight	eight	NUM
easat-5993	95	2	well	well	ADV
easat-5993	95	3	-	-	PUNCT
easat-5993	95	4	recognized	recognize	VERB
easat-5993	95	5	cnn	cnn	PROPN
easat-5993	95	6	-	-	PUNCT
easat-5993	95	7	based	base	VERB
easat-5993	95	8	dl	dl	PROPN
easat-5993	95	9	algorithms	algorithm	NOUN
easat-5993	95	10	were	be	AUX
easat-5993	95	11	used	use	VERB
easat-5993	95	12	for	for	ADP
easat-5993	95	13	training	training	NOUN
easat-5993	95	14	,	,	PUNCT
easat-5993	95	15	including	include	VERB
easat-5993	95	16	squeezenet	squeezenet	NOUN
easat-5993	95	17	,	,	PUNCT
easat-5993	95	18	resnet18	resnet18	NOUN
easat-5993	95	19	,	,	PUNCT
easat-5993	95	20	inceptionv3	inceptionv3	NOUN
easat-5993	95	21	,	,	PUNCT
easat-5993	95	22	and	and	CCONJ
easat-5993	95	23	others	other	NOUN
easat-5993	95	24	.	.	PUNCT
easat-5993	96	1	the	the	DET
easat-5993	96	2	densenet	densenet	NOUN
easat-5993	96	3	model	model	NOUN
easat-5993	96	4	had	have	VERB
easat-5993	96	5	the	the	DET
easat-5993	96	6	most	most	ADV
easat-5993	96	7	incredible	incredible	ADJ
easat-5993	96	8	classification	classification	NOUN
easat-5993	96	9	success	success	NOUN
easat-5993	96	10	rate	rate	NOUN
easat-5993	96	11	of	of	ADP
easat-5993	96	12	97.94	97.94	NUM
easat-5993	96	13	%	%	NOUN
easat-5993	96	14	in	in	ADP
easat-5993	96	15	research	research	NOUN
easat-5993	96	16	consisting	consist	VERB
easat-5993	96	17	of	of	ADP
easat-5993	96	18	three	three	NUM
easat-5993	96	19	classes	class	NOUN
easat-5993	96	20	and	and	CCONJ
easat-5993	96	21	using	use	VERB
easat-5993	96	22	data	datum	NOUN
easat-5993	96	23	augmentation	augmentation	NOUN
easat-5993	96	24	techniques	technique	NOUN
easat-5993	96	25	.	.	PUNCT
easat-5993	97	1	asif	asif	NOUN
easat-5993	97	2	,	,	PUNCT
easat-5993	97	3	et	et	PROPN
easat-5993	97	4	al	al	PROPN
easat-5993	97	5	.	.	PUNCT
easat-5993	98	1	[	[	X
easat-5993	98	2	37	37	NUM
easat-5993	98	3	]	]	PUNCT
easat-5993	98	4	introduced	introduce	VERB
easat-5993	98	5	dcnn	dcnn	ADJ
easat-5993	98	6	to	to	PART
easat-5993	98	7	automate	automate	VERB
easat-5993	98	8	the	the	DET
easat-5993	98	9	diagnosis	diagnosis	NOUN
easat-5993	98	10	of	of	ADP
easat-5993	98	11	covid-19	covid-19	PROPN
easat-5993	98	12	via	via	ADP
easat-5993	98	13	the	the	DET
easat-5993	98	14	analysis	analysis	NOUN
easat-5993	98	15	of	of	ADP
easat-5993	98	16	x	x	NOUN
easat-5993	98	17	-	-	NOUN
easat-5993	98	18	ray	ray	NOUN
easat-5993	98	19	images	image	NOUN
easat-5993	98	20	.	.	PUNCT
easat-5993	99	1	the	the	DET
easat-5993	99	2	x	x	NOUN
easat-5993	99	3	-	-	NOUN
easat-5993	99	4	ray	ray	ADJ
easat-5993	99	5	pictures	picture	NOUN
easat-5993	99	6	were	be	AUX
easat-5993	99	7	used	use	VERB
easat-5993	99	8	in	in	ADP
easat-5993	99	9	a	a	DET
easat-5993	99	10	dcnn	dcnn	PROPN
easat-5993	99	11	-	-	PUNCT
easat-5993	99	12	founded	found	VERB
easat-5993	99	13	approach	approach	NOUN
easat-5993	99	14	,	,	PUNCT
easat-5993	99	15	inception	inception	NOUN
easat-5993	99	16	-	-	PUNCT
easat-5993	99	17	v3	v3	NOUN
easat-5993	99	18	,	,	PUNCT
easat-5993	99	19	using	use	VERB
easat-5993	99	20	tl	tl	PROPN
easat-5993	99	21	techniques	technique	NOUN
easat-5993	99	22	lacking	lack	VERB
easat-5993	99	23	preprocessing	preprocessing	NOUN
easat-5993	99	24	steps	step	NOUN
easat-5993	99	25	.	.	PUNCT
easat-5993	100	1	the	the	DET
easat-5993	100	2	diagnostic	diagnostic	ADJ
easat-5993	100	3	procedure	procedure	NOUN
easat-5993	100	4	had	have	VERB
easat-5993	100	5	a	a	DET
easat-5993	100	6	classification	classification	NOUN
easat-5993	100	7	accuracy	accuracy	NOUN
easat-5993	100	8	of	of	ADP
easat-5993	100	9	96	96	NUM
easat-5993	100	10	%	%	NOUN
easat-5993	100	11	.	.	PUNCT
easat-5993	101	1	toğaçar	toğaçar	PROPN
easat-5993	101	2	,	,	PUNCT
easat-5993	101	3	et	et	PROPN
easat-5993	101	4	al	al	PROPN
easat-5993	101	5	.	.	PUNCT
easat-5993	102	1	[	[	X
easat-5993	102	2	38	38	NUM
easat-5993	102	3	]	]	PUNCT
easat-5993	102	4	utilized	utilize	VERB
easat-5993	102	5	a	a	DET
easat-5993	102	6	deep	deep	ADJ
easat-5993	102	7	learning	learning	NOUN
easat-5993	102	8	(	(	PUNCT
easat-5993	102	9	dl	dl	NOUN
easat-5993	102	10	)	)	PUNCT
easat-5993	102	11	approach	approach	NOUN
easat-5993	102	12	to	to	PART
easat-5993	102	13	identify	identify	VERB
easat-5993	102	14	covid-19	covid-19	PROPN
easat-5993	102	15	by	by	ADP
easat-5993	102	16	analyzing	analyze	VERB
easat-5993	102	17	xray	xray	NOUN
easat-5993	102	18	images	image	NOUN
easat-5993	102	19	.	.	PUNCT
easat-5993	103	1	their	their	PRON
easat-5993	103	2	study	study	NOUN
easat-5993	103	3	involved	involve	VERB
easat-5993	103	4	a	a	DET
easat-5993	103	5	preprocessing	preprocessing	NOUN
easat-5993	103	6	step	step	NOUN
easat-5993	103	7	where	where	SCONJ
easat-5993	103	8	class	class	NOUN
easat-5993	103	9	structures	structure	NOUN
easat-5993	103	10	were	be	AUX
easat-5993	103	11	refined	refine	VERB
easat-5993	103	12	using	use	VERB
easat-5993	103	13	a	a	DET
easat-5993	103	14	fuzzy	fuzzy	ADJ
easat-5993	103	15	color	color	NOUN
easat-5993	103	16	technique	technique	NOUN
easat-5993	103	17	.	.	PUNCT
easat-5993	104	1	the	the	DET
easat-5993	104	2	original	original	ADJ
easat-5993	104	3	images	image	NOUN
easat-5993	104	4	were	be	AUX
easat-5993	104	5	combined	combine	VERB
easat-5993	104	6	with	with	ADP
easat-5993	104	7	structured	structured	ADJ
easat-5993	104	8	visuals	visual	NOUN
easat-5993	104	9	to	to	PART
easat-5993	104	10	create	create	VERB
easat-5993	104	11	a	a	DET
easat-5993	104	12	multi	multi	ADJ
easat-5993	104	13	-	-	ADJ
easat-5993	104	14	layered	layered	ADJ
easat-5993	104	15	dataset	dataset	NOUN
easat-5993	104	16	,	,	PUNCT
easat-5993	104	17	which	which	PRON
easat-5993	104	18	was	be	AUX
easat-5993	104	19	then	then	ADV
easat-5993	104	20	processed	process	VERB
easat-5993	104	21	using	use	VERB
easat-5993	104	22	mobilenetv2	mobilenetv2	PROPN
easat-5993	104	23	and	and	CCONJ
easat-5993	104	24	squeezenet	squeezenet	NOUN
easat-5993	104	25	deep	deep	ADJ
easat-5993	104	26	learning	learning	NOUN
easat-5993	104	27	models	model	NOUN
easat-5993	104	28	.	.	PUNCT
easat-5993	105	1	an	an	DET
easat-5993	105	2	svm	svm	ADJ
easat-5993	105	3	model	model	NOUN
easat-5993	105	4	was	be	AUX
easat-5993	105	5	employed	employ	VERB
easat-5993	105	6	for	for	ADP
easat-5993	105	7	classification	classification	NOUN
easat-5993	105	8	,	,	PUNCT
easat-5993	105	9	achieving	achieve	VERB
easat-5993	105	10	an	an	DET
easat-5993	105	11	accuracy	accuracy	NOUN
easat-5993	105	12	of	of	ADP
easat-5993	105	13	99.27	99.27	NUM
easat-5993	105	14	%	%	NOUN
easat-5993	105	15	.	.	PUNCT
easat-5993	106	1	similarly	similarly	ADV
easat-5993	106	2	,	,	PUNCT
easat-5993	106	3	mucar	mucar	ADJ
easat-5993	106	4	and	and	CCONJ
easat-5993	106	5	korkmaz	korkmaz	NOUN
easat-5993	106	6	[	[	X
easat-5993	106	7	39	39	NUM
easat-5993	106	8	]	]	PUNCT
easat-5993	106	9	developed	develop	VERB
easat-5993	106	10	an	an	DET
easat-5993	106	11	artificial	artificial	ADJ
easat-5993	106	12	intelligence	intelligence	NOUN
easat-5993	106	13	(	(	PUNCT
easat-5993	106	14	ai	ai	NOUN
easat-5993	106	15	)	)	PUNCT
easat-5993	106	16	system	system	NOUN
easat-5993	106	17	for	for	ADP
easat-5993	106	18	detecting	detect	VERB
easat-5993	106	19	covid-19	covid-19	PROPN
easat-5993	106	20	in	in	ADP
easat-5993	106	21	chest	chest	NOUN
easat-5993	106	22	x	x	NOUN
easat-5993	106	23	-	-	NOUN
easat-5993	106	24	rays	ray	NOUN
easat-5993	106	25	.	.	PUNCT
easat-5993	107	1	they	they	PRON
easat-5993	107	2	enhanced	enhance	VERB
easat-5993	107	3	the	the	DET
easat-5993	107	4	dataset	dataset	NOUN
easat-5993	107	5	through	through	ADP
easat-5993	107	6	augmentation	augmentation	NOUN
easat-5993	107	7	and	and	CCONJ
easat-5993	107	8	optimized	optimize	VERB
easat-5993	107	9	the	the	DET
easat-5993	107	10	squeezenet	squeezenet	NOUN
easat-5993	107	11	framework	framework	NOUN
easat-5993	107	12	using	use	VERB
easat-5993	107	13	bayesian	bayesian	NOUN
easat-5993	107	14	optimization	optimization	NOUN
easat-5993	107	15	,	,	PUNCT
easat-5993	107	16	resulting	result	VERB
easat-5993	107	17	in	in	ADP
easat-5993	107	18	a	a	DET
easat-5993	107	19	classification	classification	NOUN
easat-5993	107	20	accuracy	accuracy	NOUN
easat-5993	107	21	of	of	ADP
easat-5993	107	22	98.3	98.3	NUM
easat-5993	107	23	%	%	NOUN
easat-5993	107	24	.	.	PUNCT
easat-5993	108	1	in	in	ADP
easat-5993	108	2	another	another	DET
easat-5993	108	3	study	study	NOUN
easat-5993	108	4	,	,	PUNCT
easat-5993	108	5	ozturk	ozturk	PROPN
easat-5993	108	6	,	,	PUNCT
easat-5993	108	7	et	et	PROPN
easat-5993	108	8	al	al	PROPN
easat-5993	108	9	.	.	PUNCT
easat-5993	109	1	[	[	X
easat-5993	109	2	41	41	NUM
easat-5993	109	3	]	]	PUNCT
easat-5993	109	4	introduced	introduce	VERB
easat-5993	109	5	an	an	DET
easat-5993	109	6	automated	automate	VERB
easat-5993	109	7	dl	dl	NOUN
easat-5993	109	8	approach	approach	NOUN
easat-5993	109	9	for	for	ADP
easat-5993	109	10	covid-19	covid-19	PROPN
easat-5993	109	11	detection	detection	NOUN
easat-5993	109	12	using	use	VERB
easat-5993	109	13	the	the	DET
easat-5993	109	14	darkcovidnet	darkcovidnet	ADJ
easat-5993	109	15	model	model	NOUN
easat-5993	109	16	.	.	PUNCT
easat-5993	110	1	unlike	unlike	ADP
easat-5993	110	2	other	other	ADJ
easat-5993	110	3	studies	study	NOUN
easat-5993	110	4	,	,	PUNCT
easat-5993	110	5	their	their	PRON
easat-5993	110	6	method	method	NOUN
easat-5993	110	7	did	do	AUX
easat-5993	110	8	not	not	PART
easat-5993	110	9	incorporate	incorporate	VERB
easat-5993	110	10	preprocessing	preprocessing	NOUN
easat-5993	110	11	steps	step	NOUN
easat-5993	110	12	such	such	ADJ
easat-5993	110	13	as	as	ADP
easat-5993	110	14	augmentation	augmentation	NOUN
easat-5993	110	15	or	or	CCONJ
easat-5993	110	16	segmentation	segmentation	NOUN
easat-5993	110	17	.	.	PUNCT
easat-5993	111	1	despite	despite	SCONJ
easat-5993	111	2	this	this	PRON
easat-5993	111	3	,	,	PUNCT
easat-5993	111	4	their	their	PRON
easat-5993	111	5	model	model	NOUN
easat-5993	111	6	achieved	achieve	VERB
easat-5993	111	7	an	an	DET
easat-5993	111	8	accuracy	accuracy	NOUN
easat-5993	111	9	of	of	ADP
easat-5993	111	10	87.02	87.02	NUM
easat-5993	111	11	%	%	NOUN
easat-5993	111	12	when	when	SCONJ
easat-5993	111	13	classifying	classify	VERB
easat-5993	111	14	data	datum	NOUN
easat-5993	111	15	into	into	ADP
easat-5993	111	16	three	three	NUM
easat-5993	111	17	categories	category	NOUN
easat-5993	111	18	.	.	PUNCT
easat-5993	112	1	furthermore	furthermore	ADV
easat-5993	112	2	,	,	PUNCT
easat-5993	112	3	khan	khan	PROPN
easat-5993	112	4	and	and	CCONJ
easat-5993	112	5	aslam	aslam	PROPN
easat-5993	112	6	[	[	X
easat-5993	112	7	34	34	NUM
easat-5993	112	8	]	]	PUNCT
easat-5993	112	9	designed	design	VERB
easat-5993	112	10	coronet	coronet	NOUN
easat-5993	112	11	,	,	PUNCT
easat-5993	112	12	a	a	DET
easat-5993	112	13	cnn	cnn	PROPN
easat-5993	112	14	model	model	NOUN
easat-5993	112	15	for	for	ADP
easat-5993	112	16	covid-19	covid-19	PROPN
easat-5993	112	17	detection	detection	NOUN
easat-5993	112	18	using	use	VERB
easat-5993	112	19	ct	ct	PROPN
easat-5993	112	20	and	and	CCONJ
easat-5993	112	21	x	x	NOUN
easat-5993	112	22	-	-	NOUN
easat-5993	112	23	ray	ray	NOUN
easat-5993	112	24	images	image	NOUN
easat-5993	112	25	.	.	PUNCT
easat-5993	113	1	based	base	VERB
easat-5993	113	2	on	on	ADP
easat-5993	113	3	the	the	DET
easat-5993	113	4	xception	xception	NOUN
easat-5993	113	5	architecture	architecture	NOUN
easat-5993	113	6	and	and	CCONJ
easat-5993	113	7	pretrained	pretraine	VERB
easat-5993	113	8	on	on	ADP
easat-5993	113	9	the	the	DET
easat-5993	113	10	imagenet	imagenet	NOUN
easat-5993	113	11	dataset	dataset	NOUN
easat-5993	113	12	,	,	PUNCT
easat-5993	113	13	coronet	coronet	PROPN
easat-5993	113	14	demonstrated	demonstrate	VERB
easat-5993	113	15	effective	effective	ADJ
easat-5993	113	16	performance	performance	NOUN
easat-5993	113	17	in	in	ADP
easat-5993	113	18	distinguishing	distinguish	VERB
easat-5993	113	19	covid-19	covid-19	PROPN
easat-5993	113	20	cases	case	NOUN
easat-5993	113	21	.	.	PUNCT
easat-5993	114	1	in	in	ADP
easat-5993	114	2	the	the	DET
easat-5993	114	3	study	study	NOUN
easat-5993	114	4	,	,	PUNCT
easat-5993	114	5	canayaz	canayaz	NOUN
easat-5993	114	6	,	,	PUNCT
easat-5993	114	7	et	et	PROPN
easat-5993	114	8	al	al	PROPN
easat-5993	114	9	.	.	PUNCT
easat-5993	115	1	[	[	X
easat-5993	115	2	42	42	NUM
easat-5993	115	3	]	]	PUNCT
easat-5993	115	4	proposed	propose	VERB
easat-5993	115	5	a	a	DET
easat-5993	115	6	new	new	ADJ
easat-5993	115	7	approach	approach	NOUN
easat-5993	115	8	integrating	integrate	VERB
easat-5993	115	9	bo	bo	PROPN
easat-5993	115	10	with	with	ADP
easat-5993	115	11	mobilenetv2	mobilenetv2	PROPN
easat-5993	115	12	and	and	CCONJ
easat-5993	115	13	resnet-50	resnet-50	PROPN
easat-5993	115	14	models	model	NOUN
easat-5993	115	15	,	,	PUNCT
easat-5993	115	16	along	along	ADP
easat-5993	115	17	with	with	ADP
easat-5993	115	18	svm	svm	PROPN
easat-5993	115	19	and	and	CCONJ
easat-5993	115	20	knn	knn	PROPN
easat-5993	115	21	algorithms	algorithms	PROPN
easat-5993	115	22	.	.	PUNCT
easat-5993	116	1	the	the	DET
easat-5993	116	2	approach	approach	NOUN
easat-5993	116	3	achieved	achieve	VERB
easat-5993	116	4	an	an	DET
easat-5993	116	5	accuracy	accuracy	NOUN
easat-5993	116	6	of	of	ADP
easat-5993	116	7	99.37	99.37	NUM
easat-5993	116	8	%	%	NOUN
easat-5993	116	9	.	.	PUNCT
easat-5993	117	1	mean	mean	PROPN
easat-5993	117	2	precision	precision	NOUN
easat-5993	117	3	,	,	PUNCT
easat-5993	117	4	recall	recall	NOUN
easat-5993	117	5	,	,	PUNCT
easat-5993	117	6	and	and	CCONJ
easat-5993	117	7	f1	f1	NOUN
easat-5993	117	8	-	-	PUNCT
easat-5993	117	9	score	score	NOUN
easat-5993	117	10	were	be	AUX
easat-5993	117	11	99.38	99.38	NUM
easat-5993	117	12	%	%	NOUN
easat-5993	117	13	,	,	PUNCT
easat-5993	117	14	99.36	99.36	NUM
easat-5993	117	15	%	%	NOUN
easat-5993	117	16	,	,	PUNCT
easat-5993	117	17	and	and	CCONJ
easat-5993	117	18	99.37	99.37	NUM
easat-5993	117	19	%	%	NOUN
easat-5993	117	20	,	,	PUNCT
easat-5993	117	21	respectively	respectively	ADV
easat-5993	117	22	,	,	PUNCT
easat-5993	117	23	for	for	ADP
easat-5993	117	24	all	all	DET
easat-5993	117	25	covid-19	covid-19	PROPN
easat-5993	117	26	and	and	CCONJ
easat-5993	117	27	non	non	ADJ
easat-5993	117	28	-	-	ADJ
easat-5993	117	29	covid-19	covid-19	ADJ
easat-5993	117	30	class	class	NOUN
easat-5993	117	31	datasets	dataset	NOUN
easat-5993	117	32	.	.	PUNCT
easat-5993	118	1	based	base	VERB
easat-5993	118	2	on	on	ADP
easat-5993	118	3	the	the	DET
easat-5993	118	4	performance	performance	NOUN
easat-5993	118	5	measures	measure	NOUN
easat-5993	118	6	,	,	PUNCT
easat-5993	118	7	the	the	DET
easat-5993	118	8	proposed	propose	VERB
easat-5993	118	9	382	382	NUM
easat-5993	118	10	edelweiss	edelweiss	PROPN
easat-5993	118	11	applied	apply	VERB
easat-5993	118	12	science	science	NOUN
easat-5993	118	13	and	and	CCONJ
easat-5993	118	14	technology	technology	NOUN
easat-5993	118	15	issn	issn	PROPN
easat-5993	118	16	:	:	PUNCT
easat-5993	118	17	2576	2576	NUM
easat-5993	118	18	-	-	SYM
easat-5993	118	19	8484	8484	NUM
easat-5993	118	20	vol	vol	NOUN
easat-5993	118	21	.	.	PROPN
easat-5993	119	1	9	9	NUM
easat-5993	119	2	,	,	PUNCT
easat-5993	119	3	no	no	INTJ
easat-5993	119	4	.	.	NOUN
easat-5993	119	5	4	4	NUM
easat-5993	119	6	:	:	PUNCT
easat-5993	119	7	379	379	NUM
easat-5993	119	8	-	-	SYM
easat-5993	119	9	394	394	NUM
easat-5993	119	10	,	,	PUNCT
easat-5993	119	11	2025	2025	NUM
easat-5993	119	12	doi	doi	NOUN
easat-5993	119	13	:	:	PUNCT
easat-5993	119	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	119	15	©	©	ADP
easat-5993	119	16	2025	2025	NUM
easat-5993	119	17	by	by	ADP
easat-5993	119	18	the	the	DET
easat-5993	119	19	authors	author	NOUN
easat-5993	119	20	;	;	PUNCT
easat-5993	119	21	licensee	licensee	PROPN
easat-5993	119	22	learning	learn	VERB
easat-5993	119	23	gate	gate	NOUN
easat-5993	119	24	method	method	NOUN
easat-5993	119	25	is	be	AUX
easat-5993	119	26	highly	highly	ADV
easat-5993	119	27	effective	effective	ADJ
easat-5993	119	28	.	.	PUNCT
easat-5993	120	1	it	it	PRON
easat-5993	120	2	can	can	AUX
easat-5993	120	3	be	be	AUX
easat-5993	120	4	used	use	VERB
easat-5993	120	5	as	as	ADP
easat-5993	120	6	a	a	DET
easat-5993	120	7	decision	decision	NOUN
easat-5993	120	8	-	-	PUNCT
easat-5993	120	9	support	support	NOUN
easat-5993	120	10	system	system	NOUN
easat-5993	120	11	to	to	PART
easat-5993	120	12	diagnose	diagnose	VERB
easat-5993	120	13	covid-19	covid-19	PROPN
easat-5993	120	14	effectively	effectively	ADV
easat-5993	120	15	from	from	ADP
easat-5993	120	16	ct	ct	PROPN
easat-5993	120	17	scans	scan	NOUN
easat-5993	120	18	.	.	PUNCT
easat-5993	121	1	junia	junia	NOUN
easat-5993	121	2	and	and	CCONJ
easat-5993	121	3	selvan	selvan	NOUN
easat-5993	122	1	[	[	X
easat-5993	122	2	43	43	NUM
easat-5993	122	3	]	]	PUNCT
easat-5993	122	4	presented	present	VERB
easat-5993	122	5	the	the	DET
easat-5993	122	6	ensemble	ensemble	ADJ
easat-5993	122	7	neural	neural	ADJ
easat-5993	122	8	net	net	ADJ
easat-5993	122	9	sentinel	sentinel	ADJ
easat-5993	122	10	algorithm	algorithm	NOUN
easat-5993	122	11	(	(	PUNCT
easat-5993	122	12	ennsa	ennsa	PROPN
easat-5993	122	13	)	)	PUNCT
easat-5993	122	14	,	,	PUNCT
easat-5993	122	15	an	an	DET
easat-5993	122	16	innovative	innovative	ADJ
easat-5993	122	17	deep	deep	ADJ
easat-5993	122	18	learning	learning	NOUN
easat-5993	122	19	(	(	PUNCT
easat-5993	122	20	dl	dl	NOUN
easat-5993	122	21	)	)	PUNCT
easat-5993	122	22	method	method	NOUN
easat-5993	122	23	proposed	propose	VERB
easat-5993	122	24	explicitly	explicitly	ADV
easat-5993	122	25	for	for	ADP
easat-5993	122	26	segmentation	segmentation	NOUN
easat-5993	122	27	and	and	CCONJ
easat-5993	122	28	classification	classification	NOUN
easat-5993	122	29	of	of	ADP
easat-5993	122	30	covid-19	covid-19	PROPN
easat-5993	122	31	.	.	PUNCT
easat-5993	123	1	the	the	DET
easat-5993	123	2	study	study	NOUN
easat-5993	123	3	applied	apply	VERB
easat-5993	123	4	a	a	DET
easat-5993	123	5	chest	chest	NOUN
easat-5993	123	6	x	x	NOUN
easat-5993	123	7	-	-	NOUN
easat-5993	123	8	ray	ray	NOUN
easat-5993	123	9	dataset	dataset	NOUN
easat-5993	123	10	extracted	extract	VERB
easat-5993	123	11	from	from	ADP
easat-5993	123	12	kaggle	kaggle	PROPN
easat-5993	123	13	,	,	PUNCT
easat-5993	123	14	which	which	PRON
easat-5993	123	15	was	be	AUX
easat-5993	123	16	first	first	ADV
easat-5993	123	17	preprocessed	preprocesse	VERB
easat-5993	123	18	before	before	ADP
easat-5993	123	19	feature	feature	NOUN
easat-5993	123	20	extraction	extraction	NOUN
easat-5993	123	21	using	use	VERB
easat-5993	123	22	the	the	DET
easat-5993	123	23	insistent	insistent	ADJ
easat-5993	123	24	grey	grey	ADJ
easat-5993	123	25	level	level	NOUN
easat-5993	123	26	co	co	NOUN
easat-5993	123	27	-	-	NOUN
easat-5993	123	28	occurrence	occurrence	ADJ
easat-5993	123	29	matrix	matrix	NOUN
easat-5993	123	30	(	(	PUNCT
easat-5993	123	31	iglcm	iglcm	NOUN
easat-5993	123	32	)	)	PUNCT
easat-5993	123	33	.	.	PUNCT
easat-5993	124	1	the	the	DET
easat-5993	124	2	constructed	construct	VERB
easat-5993	124	3	ennsa	ennsa	NOUN
easat-5993	124	4	performed	perform	VERB
easat-5993	124	5	better	well	ADV
easat-5993	124	6	than	than	ADP
easat-5993	124	7	other	other	ADJ
easat-5993	124	8	approaches	approach	NOUN
easat-5993	124	9	in	in	ADP
easat-5993	124	10	accuracy	accuracy	NOUN
easat-5993	124	11	,	,	PUNCT
easat-5993	124	12	precision	precision	NOUN
easat-5993	124	13	,	,	PUNCT
easat-5993	124	14	recall	recall	NOUN
easat-5993	124	15	,	,	PUNCT
easat-5993	124	16	and	and	CCONJ
easat-5993	124	17	f1score	f1score	NOUN
easat-5993	124	18	,	,	PUNCT
easat-5993	124	19	being	be	AUX
easat-5993	124	20	99.25	99.25	NUM
easat-5993	124	21	%	%	NOUN
easat-5993	124	22	,	,	PUNCT
easat-5993	124	23	100	100	NUM
easat-5993	124	24	%	%	NOUN
easat-5993	124	25	,	,	PUNCT
easat-5993	124	26	43	43	NUM
easat-5993	124	27	%	%	NOUN
easat-5993	124	28	,	,	PUNCT
easat-5993	124	29	and	and	CCONJ
easat-5993	124	30	61	61	NUM
easat-5993	124	31	%	%	NOUN
easat-5993	124	32	,	,	PUNCT
easat-5993	124	33	respectively	respectively	ADV
easat-5993	124	34	,	,	PUNCT
easat-5993	124	35	including	include	VERB
easat-5993	124	36	when	when	SCONJ
easat-5993	124	37	tested	test	VERB
easat-5993	124	38	on	on	ADP
easat-5993	124	39	imbalanced	imbalanced	ADJ
easat-5993	124	40	data	datum	NOUN
easat-5993	124	41	.	.	PUNCT
easat-5993	125	1	these	these	DET
easat-5993	125	2	facts	fact	NOUN
easat-5993	125	3	support	support	VERB
easat-5993	125	4	its	its	PRON
easat-5993	125	5	robustness	robustness	NOUN
easat-5993	125	6	as	as	ADP
easat-5993	125	7	a	a	DET
easat-5993	125	8	guaranteed	guarantee	VERB
easat-5993	125	9	diagnosis	diagnosis	NOUN
easat-5993	125	10	tool	tool	NOUN
easat-5993	125	11	for	for	ADP
easat-5993	125	12	respiratory	respiratory	ADJ
easat-5993	125	13	infections	infection	NOUN
easat-5993	125	14	.	.	PUNCT
easat-5993	126	1	the	the	DET
easat-5993	126	2	segmentation	segmentation	NOUN
easat-5993	126	3	mechanism	mechanism	NOUN
easat-5993	126	4	adopted	adopt	VERB
easat-5993	126	5	in	in	ADP
easat-5993	126	6	this	this	DET
easat-5993	126	7	research	research	NOUN
easat-5993	126	8	effectively	effectively	ADV
easat-5993	126	9	identified	identify	VERB
easat-5993	126	10	important	important	ADJ
easat-5993	126	11	features	feature	NOUN
easat-5993	126	12	from	from	ADP
easat-5993	126	13	chest	chest	NOUN
easat-5993	126	14	xray	xray	NOUN
easat-5993	126	15	images	image	NOUN
easat-5993	126	16	utilized	utilize	VERB
easat-5993	126	17	to	to	PART
easat-5993	126	18	classify	classify	VERB
easat-5993	126	19	covid-19	covid-19	PROPN
easat-5993	126	20	.	.	PUNCT
easat-5993	127	1	experimental	experimental	ADJ
easat-5993	127	2	results	result	NOUN
easat-5993	127	3	confirm	confirm	VERB
easat-5993	127	4	that	that	SCONJ
easat-5993	127	5	the	the	DET
easat-5993	127	6	ennsa	ennsa	ADJ
easat-5993	127	7	model	model	NOUN
easat-5993	127	8	outperforms	outperform	VERB
easat-5993	127	9	conventional	conventional	ADJ
easat-5993	127	10	techniques	technique	NOUN
easat-5993	127	11	in	in	ADP
easat-5993	127	12	accurately	accurately	ADV
easat-5993	127	13	diagnosing	diagnose	VERB
easat-5993	127	14	covid-19	covid-19	PROPN
easat-5993	127	15	cases	case	NOUN
easat-5993	127	16	.	.	PUNCT
easat-5993	128	1	kong	kong	PROPN
easat-5993	128	2	,	,	PUNCT
easat-5993	128	3	et	et	PROPN
easat-5993	128	4	al	al	PROPN
easat-5993	128	5	.	.	PUNCT
easat-5993	129	1	[	[	X
easat-5993	129	2	44	44	NUM
easat-5993	129	3	]	]	PUNCT
easat-5993	129	4	proposed	propose	VERB
easat-5993	129	5	an	an	DET
easat-5993	129	6	edge	edge	NOUN
easat-5993	129	7	computing	computing	NOUN
easat-5993	129	8	-	-	PUNCT
easat-5993	129	9	based	base	VERB
easat-5993	129	10	mask	mask	NOUN
easat-5993	129	11	identification	identification	NOUN
easat-5993	129	12	framework	framework	NOUN
easat-5993	129	13	(	(	PUNCT
easat-5993	129	14	ecmask	ecmask	NOUN
easat-5993	129	15	)	)	PUNCT
easat-5993	129	16	to	to	PART
easat-5993	129	17	support	support	VERB
easat-5993	129	18	public	public	ADJ
easat-5993	129	19	health	health	NOUN
easat-5993	129	20	measures	measure	NOUN
easat-5993	129	21	by	by	ADP
easat-5993	129	22	enabling	enable	VERB
easat-5993	129	23	real	real	ADJ
easat-5993	129	24	-	-	PUNCT
easat-5993	129	25	time	time	NOUN
easat-5993	129	26	mask	mask	NOUN
easat-5993	129	27	detection	detection	NOUN
easat-5993	129	28	on	on	ADP
easat-5993	129	29	low	low	ADJ
easat-5993	129	30	-	-	PUNCT
easat-5993	129	31	power	power	NOUN
easat-5993	129	32	camera	camera	NOUN
easat-5993	129	33	equipment	equipment	NOUN
easat-5993	129	34	,	,	PUNCT
easat-5993	129	35	e.g.	e.g.	ADV
easat-5993	129	36	,	,	PUNCT
easat-5993	129	37	installed	instal	VERB
easat-5993	129	38	on	on	ADP
easat-5993	129	39	buses	bus	NOUN
easat-5993	129	40	.	.	PUNCT
easat-5993	130	1	the	the	DET
easat-5993	130	2	ecmask	ecmask	NOUN
easat-5993	130	3	system	system	NOUN
easat-5993	130	4	has	have	VERB
easat-5993	130	5	three	three	NUM
easat-5993	130	6	major	major	ADJ
easat-5993	130	7	phases	phase	NOUN
easat-5993	130	8	:	:	PUNCT
easat-5993	130	9	(	(	PUNCT
easat-5993	130	10	1	1	X
easat-5993	130	11	)	)	PUNCT
easat-5993	130	12	restoration	restoration	NOUN
easat-5993	130	13	of	of	ADP
easat-5993	130	14	video	video	NOUN
easat-5993	130	15	,	,	PUNCT
easat-5993	130	16	(	(	PUNCT
easat-5993	130	17	2	2	X
easat-5993	130	18	)	)	PUNCT
easat-5993	130	19	face	face	NOUN
easat-5993	130	20	detection	detection	NOUN
easat-5993	130	21	,	,	PUNCT
easat-5993	130	22	and	and	CCONJ
easat-5993	130	23	(	(	PUNCT
easat-5993	130	24	3	3	X
easat-5993	130	25	)	)	PUNCT
easat-5993	130	26	mask	mask	NOUN
easat-5993	130	27	recognition	recognition	NOUN
easat-5993	130	28	.	.	PUNCT
easat-5993	131	1	the	the	DET
easat-5993	131	2	models	model	NOUN
easat-5993	131	3	used	use	VERB
easat-5993	131	4	at	at	ADP
easat-5993	131	5	each	each	DET
easat-5993	131	6	stage	stage	NOUN
easat-5993	131	7	were	be	AUX
easat-5993	131	8	trained	train	VERB
easat-5993	131	9	and	and	CCONJ
easat-5993	131	10	validated	validate	VERB
easat-5993	131	11	on	on	ADP
easat-5993	131	12	a	a	DET
easat-5993	131	13	combination	combination	NOUN
easat-5993	131	14	of	of	ADP
easat-5993	131	15	a	a	DET
easat-5993	131	16	private	private	ADJ
easat-5993	131	17	bus	bus	NOUN
easat-5993	131	18	drive	drive	NOUN
easat-5993	131	19	monitoring	monitor	VERB
easat-5993	131	20	dataset	dataset	ADJ
easat-5993	131	21	and	and	CCONJ
easat-5993	131	22	available	available	ADJ
easat-5993	131	23	public	public	ADJ
easat-5993	131	24	datasets	dataset	NOUN
easat-5993	131	25	.	.	PUNCT
easat-5993	132	1	exhaustive	exhaustive	ADJ
easat-5993	132	2	experiments	experiment	NOUN
easat-5993	132	3	with	with	ADP
easat-5993	132	4	real	real	ADJ
easat-5993	132	5	-	-	PUNCT
easat-5993	132	6	world	world	NOUN
easat-5993	132	7	video	video	NOUN
easat-5993	132	8	data	datum	NOUN
easat-5993	132	9	were	be	AUX
easat-5993	132	10	conducted	conduct	VERB
easat-5993	132	11	to	to	PART
easat-5993	132	12	measure	measure	VERB
easat-5993	132	13	the	the	DET
easat-5993	132	14	detection	detection	NOUN
easat-5993	132	15	accuracy	accuracy	NOUN
easat-5993	132	16	and	and	CCONJ
easat-5993	132	17	time	time	NOUN
easat-5993	132	18	complexity	complexity	NOUN
easat-5993	132	19	of	of	ADP
easat-5993	132	20	execution	execution	NOUN
easat-5993	132	21	of	of	ADP
easat-5993	132	22	the	the	DET
easat-5993	132	23	new	new	ADJ
easat-5993	132	24	framework	framework	NOUN
easat-5993	132	25	.	.	PUNCT
easat-5993	133	1	the	the	DET
easat-5993	133	2	results	result	NOUN
easat-5993	133	3	confirm	confirm	VERB
easat-5993	133	4	that	that	SCONJ
easat-5993	133	5	ecmask	ecmask	NOUN
easat-5993	133	6	functions	function	NOUN
easat-5993	133	7	well	well	ADV
easat-5993	133	8	in	in	ADP
easat-5993	133	9	actual	actual	ADJ
easat-5993	133	10	settings	setting	NOUN
easat-5993	133	11	,	,	PUNCT
easat-5993	133	12	toward	toward	ADP
easat-5993	133	13	its	its	PRON
easat-5993	133	14	promising	promising	ADJ
easat-5993	133	15	application	application	NOUN
easat-5993	133	16	as	as	ADP
easat-5993	133	17	an	an	DET
easat-5993	133	18	instrumental	instrumental	ADJ
easat-5993	133	19	aid	aid	NOUN
easat-5993	133	20	for	for	ADP
easat-5993	133	21	covid-19	covid-19	PROPN
easat-5993	133	22	prevention	prevention	NOUN
easat-5993	133	23	and	and	CCONJ
easat-5993	133	24	public	public	ADJ
easat-5993	133	25	health	health	NOUN
easat-5993	133	26	surveillance	surveillance	NOUN
easat-5993	133	27	.	.	PUNCT
easat-5993	134	1	dash	dash	NOUN
easat-5993	134	2	and	and	CCONJ
easat-5993	134	3	swarnkar	swarnkar	NOUN
easat-5993	134	4	[	[	X
easat-5993	134	5	45	45	NUM
easat-5993	134	6	]	]	PUNCT
easat-5993	134	7	explored	explore	VERB
easat-5993	134	8	the	the	DET
easat-5993	134	9	use	use	NOUN
easat-5993	134	10	of	of	ADP
easat-5993	134	11	generative	generative	ADJ
easat-5993	134	12	adversarial	adversarial	ADJ
easat-5993	134	13	networks	network	NOUN
easat-5993	134	14	(	(	PUNCT
easat-5993	134	15	gans	gan	NOUN
easat-5993	134	16	)	)	PUNCT
easat-5993	134	17	for	for	ADP
easat-5993	134	18	data	datum	NOUN
easat-5993	134	19	augmentation	augmentation	NOUN
easat-5993	134	20	to	to	PART
easat-5993	134	21	improve	improve	VERB
easat-5993	134	22	training	training	NOUN
easat-5993	134	23	data	datum	NOUN
easat-5993	134	24	for	for	ADP
easat-5993	134	25	deep	deep	ADJ
easat-5993	134	26	learning	learning	NOUN
easat-5993	134	27	models	model	NOUN
easat-5993	134	28	for	for	ADP
easat-5993	134	29	disease	disease	NOUN
easat-5993	134	30	detection	detection	NOUN
easat-5993	134	31	,	,	PUNCT
easat-5993	134	32	including	include	VERB
easat-5993	134	33	covid-19	covid-19	PROPN
easat-5993	134	34	diagnosis	diagnosis	NOUN
easat-5993	134	35	using	use	VERB
easat-5993	134	36	chest	chest	NOUN
easat-5993	134	37	x	x	NOUN
easat-5993	134	38	-	-	NOUN
easat-5993	134	39	ray	ray	NOUN
easat-5993	134	40	(	(	PUNCT
easat-5993	134	41	cxr	cxr	NOUN
easat-5993	134	42	)	)	PUNCT
easat-5993	134	43	images	image	NOUN
easat-5993	134	44	.	.	PUNCT
easat-5993	135	1	dcgan	dcgan	NOUN
easat-5993	135	2	and	and	CCONJ
easat-5993	135	3	vanilla	vanilla	NOUN
easat-5993	135	4	gan	gan	NOUN
easat-5993	135	5	approaches	approach	NOUN
easat-5993	135	6	were	be	AUX
easat-5993	135	7	employed	employ	VERB
easat-5993	135	8	in	in	ADP
easat-5993	135	9	the	the	DET
easat-5993	135	10	research	research	NOUN
easat-5993	135	11	for	for	ADP
easat-5993	135	12	data	datum	NOUN
easat-5993	135	13	augmentation	augmentation	NOUN
easat-5993	135	14	to	to	PART
easat-5993	135	15	address	address	VERB
easat-5993	135	16	data	datum	NOUN
easat-5993	135	17	paucity	paucity	NOUN
easat-5993	135	18	challenges	challenge	NOUN
easat-5993	135	19	.	.	PUNCT
easat-5993	136	1	these	these	DET
easat-5993	136	2	generated	generate	VERB
easat-5993	136	3	images	image	NOUN
easat-5993	136	4	were	be	AUX
easat-5993	136	5	evaluated	evaluate	VERB
easat-5993	136	6	using	use	VERB
easat-5993	136	7	an	an	DET
easat-5993	136	8	ensemble	ensemble	ADJ
easat-5993	136	9	deep	deep	ADJ
easat-5993	136	10	learning	learning	NOUN
easat-5993	136	11	model	model	NOUN
easat-5993	136	12	from	from	ADP
easat-5993	136	13	vgg16	vgg16	PROPN
easat-5993	136	14	,	,	PUNCT
easat-5993	136	15	resnet50	resnet50	NOUN
easat-5993	136	16	,	,	PUNCT
easat-5993	136	17	densenet	densenet	NOUN
easat-5993	136	18	,	,	PUNCT
easat-5993	136	19	and	and	CCONJ
easat-5993	136	20	lstm	lstm	NOUN
easat-5993	136	21	.	.	PUNCT
easat-5993	137	1	the	the	DET
easat-5993	137	2	method	method	NOUN
easat-5993	137	3	has	have	AUX
easat-5993	137	4	produced	produce	VERB
easat-5993	137	5	incredible	incredible	ADJ
easat-5993	137	6	results	result	NOUN
easat-5993	137	7	,	,	PUNCT
easat-5993	137	8	i.e.	i.e.	X
easat-5993	137	9	,	,	PUNCT
easat-5993	137	10	detection	detection	NOUN
easat-5993	137	11	rate	rate	NOUN
easat-5993	137	12	98	98	NUM
easat-5993	137	13	%	%	NOUN
easat-5993	137	14	,	,	PUNCT
easat-5993	137	15	sensitivity	sensitivity	NOUN
easat-5993	137	16	99	99	NUM
easat-5993	137	17	%	%	NOUN
easat-5993	137	18	,	,	PUNCT
easat-5993	137	19	and	and	CCONJ
easat-5993	137	20	specificity	specificity	NOUN
easat-5993	137	21	100	100	NUM
easat-5993	137	22	%	%	NOUN
easat-5993	137	23	,	,	PUNCT
easat-5993	137	24	compared	compare	VERB
easat-5993	137	25	to	to	ADP
easat-5993	137	26	the	the	DET
easat-5993	137	27	models	model	NOUN
easat-5993	137	28	trained	train	VERB
easat-5993	137	29	on	on	ADP
easat-5993	137	30	real	real	ADJ
easat-5993	137	31	data	datum	NOUN
easat-5993	137	32	alone	alone	ADV
easat-5993	137	33	.	.	PUNCT
easat-5993	138	1	the	the	DET
easat-5993	138	2	assessment	assessment	NOUN
easat-5993	138	3	metrics	metric	NOUN
easat-5993	138	4	,	,	PUNCT
easat-5993	138	5	such	such	ADJ
easat-5993	138	6	as	as	ADP
easat-5993	138	7	precision	precision	NOUN
easat-5993	138	8	,	,	PUNCT
easat-5993	138	9	recall	recall	NOUN
easat-5993	138	10	,	,	PUNCT
easat-5993	138	11	f1	f1	NOUN
easat-5993	138	12	-	-	PUNCT
easat-5993	138	13	score	score	NOUN
easat-5993	138	14	,	,	PUNCT
easat-5993	138	15	11.685	11.685	NUM
easat-5993	138	16	psnr	psnr	NOUN
easat-5993	138	17	and	and	CCONJ
easat-5993	138	18	0.598	0.598	NUM
easat-5993	138	19	ssim	ssim	NOUN
easat-5993	138	20	,	,	PUNCT
easat-5993	138	21	also	also	ADV
easat-5993	138	22	supported	support	VERB
easat-5993	138	23	the	the	DET
easat-5993	138	24	usability	usability	NOUN
easat-5993	138	25	and	and	CCONJ
easat-5993	138	26	quality	quality	NOUN
easat-5993	138	27	of	of	ADP
easat-5993	138	28	synthetic	synthetic	ADJ
easat-5993	138	29	data	datum	NOUN
easat-5993	138	30	.	.	PUNCT
easat-5993	139	1	it	it	PRON
easat-5993	139	2	is	be	AUX
easat-5993	139	3	evident	evident	ADJ
easat-5993	139	4	that	that	SCONJ
easat-5993	139	5	the	the	DET
easat-5993	139	6	effectiveness	effectiveness	NOUN
easat-5993	139	7	of	of	ADP
easat-5993	139	8	gan	gan	NOUN
easat-5993	139	9	-	-	PUNCT
easat-5993	139	10	based	base	VERB
easat-5993	139	11	augmentation	augmentation	NOUN
easat-5993	139	12	towards	towards	ADP
easat-5993	139	13	the	the	DET
easat-5993	139	14	enhancement	enhancement	NOUN
easat-5993	139	15	of	of	ADP
easat-5993	139	16	cxr	cxr	NOUN
easat-5993	139	17	image	image	NOUN
easat-5993	139	18	classification	classification	NOUN
easat-5993	139	19	for	for	ADP
easat-5993	139	20	covid-19	covid-19	PROPN
easat-5993	139	21	is	be	AUX
easat-5993	139	22	showcased	showcase	VERB
easat-5993	139	23	,	,	PUNCT
easat-5993	139	24	and	and	CCONJ
easat-5993	139	25	future	future	ADJ
easat-5993	139	26	research	research	NOUN
easat-5993	139	27	work	work	NOUN
easat-5993	139	28	and	and	CCONJ
easat-5993	139	29	the	the	DET
easat-5993	139	30	optimization	optimization	NOUN
easat-5993	139	31	of	of	ADP
easat-5993	139	32	the	the	DET
easat-5993	139	33	architecture	architecture	NOUN
easat-5993	139	34	of	of	ADP
easat-5993	139	35	the	the	DET
easat-5993	139	36	gans	gan	NOUN
easat-5993	139	37	in	in	ADP
easat-5993	139	38	medical	medical	ADJ
easat-5993	139	39	imaging	imaging	NOUN
easat-5993	139	40	tasks	task	NOUN
easat-5993	139	41	are	be	AUX
easat-5993	139	42	outlined	outline	VERB
easat-5993	139	43	.	.	PUNCT
easat-5993	140	1	2.1	2.1	NUM
easat-5993	140	2	.	.	PUNCT
easat-5993	140	3	motivation	motivation	NOUN
easat-5993	140	4	,	,	PUNCT
easat-5993	140	5	novelty	novelty	NOUN
easat-5993	140	6	and	and	CCONJ
easat-5993	140	7	contribution	contribution	NOUN
easat-5993	140	8	despite	despite	SCONJ
easat-5993	140	9	using	use	VERB
easat-5993	140	10	cnn	cnn	PROPN
easat-5993	140	11	in	in	ADP
easat-5993	140	12	the	the	DET
easat-5993	140	13	state	state	NOUN
easat-5993	140	14	-	-	PUNCT
easat-5993	140	15	of	of	ADP
easat-5993	140	16	-	-	PUNCT
easat-5993	140	17	the	the	DET
easat-5993	140	18	-	-	PUNCT
easat-5993	140	19	art	art	NOUN
easat-5993	140	20	approaches	approach	NOUN
easat-5993	140	21	,	,	PUNCT
easat-5993	140	22	these	these	DET
easat-5993	140	23	methods	method	NOUN
easat-5993	140	24	fail	fail	VERB
easat-5993	140	25	to	to	PART
easat-5993	140	26	consider	consider	VERB
easat-5993	140	27	the	the	DET
easat-5993	140	28	spatial	spatial	ADJ
easat-5993	140	29	interdependence	interdependence	NOUN
easat-5993	140	30	among	among	ADP
easat-5993	140	31	picture	picture	NOUN
easat-5993	140	32	pixels	pixel	NOUN
easat-5993	140	33	during	during	ADP
easat-5993	140	34	model	model	NOUN
easat-5993	140	35	training	training	NOUN
easat-5993	140	36	.	.	PUNCT
easat-5993	141	1	therefore	therefore	ADV
easat-5993	141	2	,	,	PUNCT
easat-5993	141	3	when	when	SCONJ
easat-5993	141	4	the	the	DET
easat-5993	141	5	pictures	picture	NOUN
easat-5993	141	6	undergo	undergo	VERB
easat-5993	141	7	rotation	rotation	NOUN
easat-5993	141	8	,	,	PUNCT
easat-5993	141	9	specific	specific	ADJ
easat-5993	141	10	resizing	resizing	NOUN
easat-5993	141	11	procedures	procedure	NOUN
easat-5993	141	12	,	,	PUNCT
easat-5993	141	13	and	and	CCONJ
easat-5993	141	14	data	datum	NOUN
easat-5993	141	15	augmentation	augmentation	NOUN
easat-5993	141	16	,	,	PUNCT
easat-5993	141	17	which	which	PRON
easat-5993	141	18	is	be	AUX
easat-5993	141	19	necessary	necessary	ADJ
easat-5993	141	20	owing	owe	VERB
easat-5993	141	21	to	to	ADP
easat-5993	141	22	the	the	DET
easat-5993	141	23	dataset	dataset	NOUN
easat-5993	141	24	's	's	PART
easat-5993	141	25	small	small	ADJ
easat-5993	141	26	scope	scope	NOUN
easat-5993	141	27	,	,	PUNCT
easat-5993	141	28	the	the	DET
easat-5993	141	29	generated	generate	VERB
easat-5993	141	30	cnn	cnn	PROPN
easat-5993	141	31	models	model	NOUN
easat-5993	141	32	exhibit	exhibit	VERB
easat-5993	141	33	inaccuracies	inaccuracy	NOUN
easat-5993	141	34	in	in	ADP
easat-5993	141	35	reliably	reliably	ADV
easat-5993	141	36	identifying	identify	VERB
easat-5993	141	37	instances	instance	NOUN
easat-5993	141	38	of	of	ADP
easat-5993	141	39	covid19	covid19	NOUN
easat-5993	141	40	,	,	PUNCT
easat-5993	141	41	viral	viral	ADJ
easat-5993	141	42	pneumonia	pneumonia	NOUN
easat-5993	141	43	,	,	PUNCT
easat-5993	141	44	and	and	CCONJ
easat-5993	141	45	regular	regular	ADJ
easat-5993	141	46	chest	chest	NOUN
easat-5993	141	47	x	x	NOUN
easat-5993	141	48	-	-	NOUN
easat-5993	141	49	ray	ray	NOUN
easat-5993	141	50	scans	scan	NOUN
easat-5993	141	51	.	.	PUNCT
easat-5993	142	1	while	while	SCONJ
easat-5993	142	2	it	it	PRON
easat-5993	142	3	is	be	AUX
easat-5993	142	4	acceptable	acceptable	ADJ
easat-5993	142	5	to	to	PART
easat-5993	142	6	have	have	VERB
easat-5993	142	7	some	some	DET
easat-5993	142	8	level	level	NOUN
easat-5993	142	9	of	of	ADP
easat-5993	142	10	misclassification	misclassification	NOUN
easat-5993	142	11	in	in	ADP
easat-5993	142	12	the	the	DET
easat-5993	142	13	identification	identification	NOUN
easat-5993	142	14	of	of	ADP
easat-5993	142	15	viral	viral	ADJ
easat-5993	142	16	pneumonia	pneumonia	NOUN
easat-5993	142	17	patients	patient	NOUN
easat-5993	142	18	,	,	PUNCT
easat-5993	142	19	misclassifying	misclassifye	VERB
easat-5993	142	20	instances	instance	NOUN
easat-5993	142	21	of	of	ADP
easat-5993	142	22	covid-19	covid-19	PROPN
easat-5993	142	23	as	as	ADP
easat-5993	142	24	typical	typical	ADJ
easat-5993	142	25	or	or	CCONJ
easat-5993	142	26	viral	viral	ADJ
easat-5993	142	27	pneumonia	pneumonia	NOUN
easat-5993	142	28	might	might	AUX
easat-5993	142	29	have	have	VERB
easat-5993	142	30	a	a	DET
easat-5993	142	31	detrimental	detrimental	ADJ
easat-5993	142	32	impact	impact	NOUN
easat-5993	142	33	on	on	ADP
easat-5993	142	34	the	the	DET
easat-5993	142	35	therapy	therapy	NOUN
easat-5993	142	36	doctors	doctor	NOUN
easat-5993	142	37	administer	administer	VERB
easat-5993	142	38	.	.	PUNCT
easat-5993	143	1	the	the	DET
easat-5993	143	2	present	present	ADJ
easat-5993	143	3	study	study	NOUN
easat-5993	143	4	seeks	seek	VERB
easat-5993	143	5	to	to	PART
easat-5993	143	6	overcome	overcome	VERB
easat-5993	143	7	the	the	DET
easat-5993	143	8	abovementioned	abovementione	VERB
easat-5993	143	9	constraints	constraint	NOUN
easat-5993	143	10	by	by	ADP
easat-5993	143	11	creating	create	VERB
easat-5993	143	12	an	an	DET
easat-5993	143	13	automated	automate	VERB
easat-5993	143	14	diagnostic	diagnostic	ADJ
easat-5993	143	15	process	process	NOUN
easat-5993	143	16	for	for	ADP
easat-5993	143	17	screening	screen	VERB
easat-5993	143	18	individuals	individual	NOUN
easat-5993	143	19	with	with	ADP
easat-5993	143	20	covid-19	covid-19	PROPN
easat-5993	143	21	using	use	VERB
easat-5993	143	22	chest	chest	NOUN
easat-5993	143	23	x	x	NOUN
easat-5993	143	24	-	-	NOUN
easat-5993	143	25	ray	ray	NOUN
easat-5993	143	26	images	image	NOUN
easat-5993	143	27	.	.	PUNCT
easat-5993	144	1	the	the	DET
easat-5993	144	2	approach	approach	NOUN
easat-5993	144	3	described	describe	VERB
easat-5993	144	4	in	in	ADP
easat-5993	144	5	this	this	DET
easat-5993	144	6	study	study	NOUN
easat-5993	144	7	utilizes	utilize	VERB
easat-5993	144	8	an	an	DET
easat-5993	144	9	optimal	optimal	ADJ
easat-5993	144	10	and	and	CCONJ
easat-5993	144	11	resilient	resilient	ADJ
easat-5993	144	12	cnn	cnn	NOUN
easat-5993	144	13	architecture	architecture	NOUN
easat-5993	144	14	to	to	PART
easat-5993	144	15	categorize	categorize	VERB
easat-5993	144	16	chest	chest	NOUN
easat-5993	144	17	x	x	NOUN
easat-5993	144	18	-	-	NOUN
easat-5993	144	19	ray	ray	NOUN
easat-5993	144	20	pictures	picture	NOUN
easat-5993	144	21	into	into	ADP
easat-5993	144	22	three	three	NUM
easat-5993	144	23	distinct	distinct	ADJ
easat-5993	144	24	classes	class	NOUN
easat-5993	144	25	.	.	PUNCT
easat-5993	145	1	the	the	DET
easat-5993	145	2	suggested	suggest	VERB
easat-5993	145	3	work	work	NOUN
easat-5993	145	4	exhibits	exhibit	VERB
easat-5993	145	5	dual	dual	ADJ
easat-5993	145	6	originality	originality	NOUN
easat-5993	145	7	.	.	PUNCT
easat-5993	146	1	the	the	DET
easat-5993	146	2	mechanism	mechanism	NOUN
easat-5993	146	3	used	use	VERB
easat-5993	146	4	for	for	ADP
easat-5993	146	5	tuning	tune	VERB
easat-5993	146	6	the	the	DET
easat-5993	146	7	hyperparameters	hyperparameter	NOUN
easat-5993	146	8	of	of	ADP
easat-5993	146	9	the	the	DET
easat-5993	146	10	cnn	cnn	PROPN
easat-5993	146	11	is	be	AUX
easat-5993	146	12	distinctive	distinctive	ADJ
easat-5993	146	13	.	.	PUNCT
easat-5993	147	1	the	the	DET
easat-5993	147	2	hyperparameters	hyperparameter	NOUN
easat-5993	147	3	of	of	ADP
easat-5993	147	4	cnns	cnn	NOUN
easat-5993	147	5	are	be	AUX
easat-5993	147	6	optimized	optimize	VERB
easat-5993	147	7	using	use	VERB
easat-5993	147	8	mgwo	mgwo	NOUN
easat-5993	147	9	.	.	PUNCT
easat-5993	148	1	the	the	DET
easat-5993	148	2	hyperparameter	hyperparameter	NOUN
easat-5993	148	3	tuning	tuning	NOUN
easat-5993	148	4	process	process	NOUN
easat-5993	148	5	included	include	VERB
easat-5993	148	6	using	use	VERB
easat-5993	148	7	a	a	DET
easat-5993	148	8	covid-19	covid-19	PROPN
easat-5993	148	9	dataset	dataset	NOUN
easat-5993	148	10	for	for	ADP
easat-5993	148	11	training	training	NOUN
easat-5993	148	12	,	,	PUNCT
easat-5993	148	13	validation	validation	NOUN
easat-5993	148	14	,	,	PUNCT
easat-5993	148	15	and	and	CCONJ
easat-5993	148	16	testing	testing	NOUN
easat-5993	148	17	.	.	PUNCT
easat-5993	149	1	the	the	DET
easat-5993	149	2	trial	trial	NOUN
easat-5993	149	3	yielded	yield	VERB
easat-5993	149	4	favourable	favourable	ADJ
easat-5993	149	5	performance	performance	NOUN
easat-5993	149	6	metrics	metric	NOUN
easat-5993	149	7	.	.	PUNCT
easat-5993	150	1	383	383	NUM
easat-5993	150	2	edelweiss	edelweiss	PROPN
easat-5993	150	3	applied	apply	VERB
easat-5993	150	4	science	science	NOUN
easat-5993	150	5	and	and	CCONJ
easat-5993	150	6	technology	technology	NOUN
easat-5993	150	7	issn	issn	PROPN
easat-5993	150	8	:	:	PUNCT
easat-5993	150	9	2576	2576	NUM
easat-5993	150	10	-	-	SYM
easat-5993	150	11	8484	8484	NUM
easat-5993	150	12	vol	vol	NOUN
easat-5993	150	13	.	.	PROPN
easat-5993	151	1	9	9	NUM
easat-5993	151	2	,	,	PUNCT
easat-5993	151	3	no	no	INTJ
easat-5993	151	4	.	.	NOUN
easat-5993	151	5	4	4	NUM
easat-5993	151	6	:	:	PUNCT
easat-5993	151	7	379	379	NUM
easat-5993	151	8	-	-	SYM
easat-5993	151	9	394	394	NUM
easat-5993	151	10	,	,	PUNCT
easat-5993	151	11	2025	2025	NUM
easat-5993	151	12	doi	doi	NOUN
easat-5993	151	13	:	:	PUNCT
easat-5993	151	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	151	15	©	©	ADP
easat-5993	151	16	2025	2025	NUM
easat-5993	151	17	by	by	ADP
easat-5993	151	18	the	the	DET
easat-5993	151	19	authors	author	NOUN
easat-5993	151	20	;	;	PUNCT
easat-5993	151	21	licensee	licensee	PROPN
easat-5993	151	22	learning	learning	NOUN
easat-5993	151	23	gate	gate	NOUN
easat-5993	151	24	3	3	NUM
easat-5993	151	25	.	.	PUNCT
easat-5993	151	26	materials	material	NOUN
easat-5993	151	27	and	and	CCONJ
easat-5993	151	28	methods	method	NOUN
easat-5993	151	29	isolating	isolate	VERB
easat-5993	151	30	covid-19	covid-19	PROPN
easat-5993	151	31	images	image	NOUN
easat-5993	151	32	from	from	ADP
easat-5993	151	33	chest	chest	NOUN
easat-5993	151	34	radiographs	radiograph	NOUN
easat-5993	151	35	plays	play	VERB
easat-5993	151	36	a	a	DET
easat-5993	151	37	crucial	crucial	ADJ
easat-5993	151	38	role	role	NOUN
easat-5993	151	39	in	in	ADP
easat-5993	151	40	diagnostics	diagnostic	NOUN
easat-5993	151	41	.	.	PUNCT
easat-5993	152	1	the	the	DET
easat-5993	152	2	proposed	propose	VERB
easat-5993	152	3	mgwo	mgwo	NOUN
easat-5993	152	4	algorithm	algorithm	NOUN
easat-5993	152	5	,	,	PUNCT
easat-5993	152	6	integrated	integrate	VERB
easat-5993	152	7	with	with	ADP
easat-5993	152	8	a	a	DET
easat-5993	152	9	cnn	cnn	PROPN
easat-5993	152	10	,	,	PUNCT
easat-5993	152	11	enhances	enhance	VERB
easat-5993	152	12	classification	classification	NOUN
easat-5993	152	13	accuracy	accuracy	NOUN
easat-5993	152	14	by	by	ADP
easat-5993	152	15	minimizing	minimize	VERB
easat-5993	152	16	computational	computational	ADJ
easat-5993	152	17	complexity	complexity	NOUN
easat-5993	152	18	and	and	CCONJ
easat-5993	152	19	improving	improve	VERB
easat-5993	152	20	processing	processing	NOUN
easat-5993	152	21	efficiency	efficiency	NOUN
easat-5993	152	22	.	.	PUNCT
easat-5993	153	1	computer	computer	NOUN
easat-5993	153	2	-	-	PUNCT
easat-5993	153	3	assisted	assist	VERB
easat-5993	153	4	diagnosis	diagnosis	NOUN
easat-5993	153	5	of	of	ADP
easat-5993	153	6	covid19	covid19	NOUN
easat-5993	153	7	through	through	ADP
easat-5993	153	8	chest	chest	NOUN
easat-5993	153	9	x	x	NOUN
easat-5993	153	10	-	-	NOUN
easat-5993	153	11	ray	ray	NOUN
easat-5993	153	12	image	image	NOUN
easat-5993	153	13	analysis	analysis	NOUN
easat-5993	153	14	has	have	AUX
easat-5993	153	15	gained	gain	VERB
easat-5993	153	16	significant	significant	ADJ
easat-5993	153	17	attention	attention	NOUN
easat-5993	153	18	.	.	PUNCT
easat-5993	154	1	as	as	SCONJ
easat-5993	154	2	highlighted	highlight	VERB
easat-5993	154	3	earlier	early	ADV
easat-5993	154	4	,	,	PUNCT
easat-5993	154	5	this	this	DET
easat-5993	154	6	approach	approach	NOUN
easat-5993	154	7	involves	involve	VERB
easat-5993	154	8	three	three	NUM
easat-5993	154	9	key	key	ADJ
easat-5993	154	10	stages	stage	NOUN
easat-5993	154	11	.	.	PUNCT
easat-5993	155	1	the	the	DET
easat-5993	155	2	study	study	NOUN
easat-5993	155	3	primarily	primarily	ADV
easat-5993	155	4	explores	explore	VERB
easat-5993	155	5	preprocessing	preprocessing	NOUN
easat-5993	155	6	,	,	PUNCT
easat-5993	155	7	fe	fe	X
easat-5993	155	8	,	,	PUNCT
easat-5993	155	9	fs	fs	PROPN
easat-5993	155	10	,	,	PUNCT
easat-5993	155	11	and	and	CCONJ
easat-5993	155	12	classification	classification	NOUN
easat-5993	155	13	techniques	technique	NOUN
easat-5993	155	14	utilized	utilize	VERB
easat-5993	155	15	in	in	ADP
easat-5993	155	16	the	the	DET
easat-5993	155	17	mgwo	mgwo	PROPN
easat-5993	155	18	-	-	PUNCT
easat-5993	155	19	cnn	cnn	PROPN
easat-5993	155	20	model	model	NOUN
easat-5993	155	21	.	.	PUNCT
easat-5993	156	1	figure	figure	NOUN
easat-5993	156	2	1	1	NUM
easat-5993	156	3	illustrates	illustrate	VERB
easat-5993	156	4	the	the	DET
easat-5993	156	5	block	block	NOUN
easat-5993	156	6	diagram	diagram	NOUN
easat-5993	156	7	of	of	ADP
easat-5993	156	8	the	the	DET
easat-5993	156	9	proposed	propose	VERB
easat-5993	156	10	methodology	methodology	NOUN
easat-5993	156	11	.	.	PUNCT
easat-5993	157	1	the	the	DET
easat-5993	157	2	framework	framework	NOUN
easat-5993	157	3	employs	employ	VERB
easat-5993	157	4	a	a	DET
easat-5993	157	5	gabor	gabor	NOUN
easat-5993	157	6	filter	filter	NOUN
easat-5993	157	7	to	to	PART
easat-5993	157	8	extract	extract	VERB
easat-5993	157	9	distinguishing	distinguish	VERB
easat-5993	157	10	features	feature	NOUN
easat-5993	157	11	from	from	ADP
easat-5993	157	12	chest	chest	NOUN
easat-5993	157	13	x	x	NOUN
easat-5993	157	14	-	-	NOUN
easat-5993	157	15	ray	ray	NOUN
easat-5993	157	16	images	image	NOUN
easat-5993	157	17	.	.	PUNCT
easat-5993	158	1	the	the	DET
easat-5993	158	2	extracted	extract	VERB
easat-5993	158	3	features	feature	NOUN
easat-5993	158	4	are	be	AUX
easat-5993	158	5	then	then	ADV
easat-5993	158	6	refined	refine	VERB
easat-5993	158	7	by	by	ADP
easat-5993	158	8	combining	combine	VERB
easat-5993	158	9	the	the	DET
easat-5993	158	10	mgwo	mgwo	NOUN
easat-5993	158	11	and	and	CCONJ
easat-5993	158	12	cnn	cnn	PROPN
easat-5993	158	13	algorithms	algorithm	NOUN
easat-5993	158	14	,	,	PUNCT
easat-5993	158	15	ensuring	ensure	VERB
easat-5993	158	16	optimal	optimal	ADJ
easat-5993	158	17	feature	feature	NOUN
easat-5993	158	18	selection	selection	NOUN
easat-5993	158	19	.	.	PUNCT
easat-5993	159	1	transmission	transmission	NOUN
easat-5993	159	2	experiments	experiment	NOUN
easat-5993	159	3	were	be	AUX
easat-5993	159	4	conducted	conduct	VERB
easat-5993	159	5	to	to	PART
easat-5993	159	6	enhance	enhance	VERB
easat-5993	159	7	the	the	DET
easat-5993	159	8	differentiation	differentiation	NOUN
easat-5993	159	9	of	of	ADP
easat-5993	159	10	chest	chest	NOUN
easat-5993	159	11	x	x	NOUN
easat-5993	159	12	-	-	NOUN
easat-5993	159	13	ray	ray	NOUN
easat-5993	159	14	images	image	NOUN
easat-5993	159	15	,	,	PUNCT
easat-5993	159	16	further	far	ADV
easat-5993	159	17	improving	improve	VERB
easat-5993	159	18	diagnostic	diagnostic	ADJ
easat-5993	159	19	accuracy	accuracy	NOUN
easat-5993	159	20	.	.	PUNCT
easat-5993	160	1	3.1	3.1	NUM
easat-5993	160	2	.	.	PUNCT
easat-5993	160	3	dataset	dataset	NOUN
easat-5993	160	4	collection	collection	NOUN
easat-5993	160	5	the	the	DET
easat-5993	160	6	dataset	dataset	NOUN
easat-5993	160	7	for	for	ADP
easat-5993	160	8	covid-19	covid-19	PROPN
easat-5993	160	9	,	,	PUNCT
easat-5993	160	10	consisting	consist	VERB
easat-5993	160	11	of	of	ADP
easat-5993	160	12	13,758	13,758	NUM
easat-5993	160	13	scans	scan	NOUN
easat-5993	160	14	,	,	PUNCT
easat-5993	160	15	was	be	AUX
easat-5993	160	16	acquired	acquire	VERB
easat-5993	160	17	from	from	ADP
easat-5993	160	18	the	the	DET
easat-5993	160	19	kaggle	kaggle	ADJ
easat-5993	160	20	repository	repository	NOUN
easat-5993	160	21	.	.	PUNCT
easat-5993	161	1	the	the	DET
easat-5993	161	2	dataset	dataset	NOUN
easat-5993	161	3	may	may	AUX
easat-5993	161	4	be	be	AUX
easat-5993	161	5	retrieved	retrieve	VERB
easat-5993	161	6	using	use	VERB
easat-5993	161	7	the	the	DET
easat-5993	161	8	succeeding	succeed	VERB
easat-5993	161	9	link	link	NOUN
easat-5993	161	10	:	:	PUNCT
easat-5993	161	11	https://www.kaggle.com/tawsifurrahman/covid19-radiography-database	https://www.kaggle.com/tawsifurrahman/covid19-radiography-database	PROPN
easat-5993	161	12	(	(	PUNCT
easat-5993	161	13	accessed	access	VERB
easat-5993	161	14	july	july	PROPN
easat-5993	161	15	7th	7th	NOUN
easat-5993	161	16	,	,	PUNCT
easat-5993	161	17	2023	2023	NUM
easat-5993	161	18	)	)	PUNCT
easat-5993	161	19	.	.	PUNCT
easat-5993	162	1	there	there	PRON
easat-5993	162	2	are	be	VERB
easat-5993	162	3	three	three	NUM
easat-5993	162	4	chest	chest	NOUN
easat-5993	162	5	x	x	NOUN
easat-5993	162	6	-	-	NOUN
easat-5993	162	7	ray	ray	NOUN
easat-5993	162	8	images	image	NOUN
easat-5993	162	9	:	:	PUNCT
easat-5993	162	10	normal	normal	ADJ
easat-5993	162	11	,	,	PUNCT
easat-5993	162	12	covid-19	covid-19	PROPN
easat-5993	162	13	,	,	PUNCT
easat-5993	162	14	and	and	CCONJ
easat-5993	162	15	others	other	NOUN
easat-5993	162	16	.	.	PUNCT
easat-5993	163	1	a	a	DET
easat-5993	163	2	total	total	NOUN
easat-5993	163	3	of	of	ADP
easat-5993	163	4	3,617	3,617	NUM
easat-5993	163	5	photos	photo	NOUN
easat-5993	163	6	depicting	depict	VERB
easat-5993	163	7	cases	case	NOUN
easat-5993	163	8	of	of	ADP
easat-5993	163	9	covid-19	covid-19	PROPN
easat-5993	163	10	and	and	CCONJ
easat-5993	163	11	10,141	10,141	NUM
easat-5993	163	12	photographs	photograph	NOUN
easat-5993	163	13	representing	represent	VERB
easat-5993	163	14	typical	typical	ADJ
easat-5993	163	15	cases	case	NOUN
easat-5993	163	16	were	be	AUX
easat-5993	163	17	involved	involve	VERB
easat-5993	163	18	in	in	ADP
easat-5993	163	19	the	the	DET
easat-5993	163	20	dataset	dataset	NOUN
easat-5993	163	21	.	.	PUNCT
easat-5993	164	1	specifically	specifically	ADV
easat-5993	164	2	,	,	PUNCT
easat-5993	164	3	80	80	NUM
easat-5993	164	4	%	%	NOUN
easat-5993	164	5	of	of	ADP
easat-5993	164	6	the	the	DET
easat-5993	164	7	dataset	dataset	NOUN
easat-5993	164	8	was	be	AUX
easat-5993	164	9	assigned	assign	VERB
easat-5993	164	10	for	for	ADP
easat-5993	164	11	the	the	DET
easat-5993	164	12	training	training	NOUN
easat-5993	164	13	task	task	NOUN
easat-5993	164	14	.	.	PUNCT
easat-5993	165	1	in	in	ADP
easat-5993	165	2	contrast	contrast	NOUN
easat-5993	165	3	,	,	PUNCT
easat-5993	165	4	the	the	DET
easat-5993	165	5	remaining	remain	VERB
easat-5993	165	6	20	20	NUM
easat-5993	165	7	%	%	NOUN
easat-5993	165	8	was	be	AUX
easat-5993	165	9	set	set	VERB
easat-5993	165	10	aside	aside	ADV
easat-5993	165	11	for	for	ADP
easat-5993	165	12	testing	testing	NOUN
easat-5993	165	13	.	.	PUNCT
easat-5993	166	1	figure	figure	NOUN
easat-5993	166	2	1	1	NUM
easat-5993	166	3	.	.	PUNCT
easat-5993	167	1	sample	sample	NOUN
easat-5993	167	2	dataset	dataset	NOUN
easat-5993	167	3	.	.	PUNCT
easat-5993	168	1	3.2	3.2	NUM
easat-5993	168	2	.	.	PUNCT
easat-5993	168	3	methods	method	NOUN
easat-5993	168	4	3.2.1	3.2.1	NUM
easat-5993	168	5	.	.	PUNCT
easat-5993	169	1	feature	feature	NOUN
easat-5993	169	2	extraction	extraction	NOUN
easat-5993	169	3	(	(	PUNCT
easat-5993	169	4	fe	fe	NOUN
easat-5993	169	5	)	)	PUNCT
easat-5993	169	6	using	use	VERB
easat-5993	169	7	gabor	gabor	PROPN
easat-5993	169	8	filter	filter	NOUN
easat-5993	169	9	the	the	DET
easat-5993	169	10	gabor	gabor	PROPN
easat-5993	169	11	filter	filter	NOUN
easat-5993	169	12	exhibits	exhibit	VERB
easat-5993	169	13	high	high	ADJ
easat-5993	169	14	sensitivity	sensitivity	NOUN
easat-5993	169	15	towards	towards	ADP
easat-5993	169	16	structural	structural	ADJ
easat-5993	169	17	elements	element	NOUN
easat-5993	169	18	and	and	CCONJ
easat-5993	169	19	patterns	pattern	NOUN
easat-5993	169	20	,	,	PUNCT
easat-5993	169	21	resulting	result	VERB
easat-5993	169	22	in	in	ADP
easat-5993	169	23	diverse	diverse	ADJ
easat-5993	169	24	responses	response	NOUN
easat-5993	169	25	when	when	SCONJ
easat-5993	169	26	applied	apply	VERB
easat-5993	169	27	to	to	ADP
easat-5993	169	28	a	a	DET
easat-5993	169	29	picture	picture	NOUN
easat-5993	169	30	.	.	PUNCT
easat-5993	170	1	the	the	DET
easat-5993	170	2	gabor	gabor	PROPN
easat-5993	170	3	filter	filter	PROPN
easat-5993	170	4	kong	kong	PROPN
easat-5993	170	5	,	,	PUNCT
easat-5993	170	6	et	et	PROPN
easat-5993	170	7	al	al	PROPN
easat-5993	170	8	.	.	PUNCT
easat-5993	171	1	[	[	X
easat-5993	171	2	44	44	NUM
easat-5993	171	3	]	]	PUNCT
easat-5993	171	4	is	be	AUX
easat-5993	171	5	utilized	utilize	VERB
easat-5993	171	6	to	to	PART
easat-5993	171	7	eliminate	eliminate	VERB
easat-5993	171	8	the	the	DET
easat-5993	171	9	image	image	NOUN
easat-5993	171	10	element	element	NOUN
easat-5993	171	11	due	due	ADP
easat-5993	171	12	to	to	ADP
easat-5993	171	13	its	its	PRON
easat-5993	171	14	optimal	optimal	ADJ
easat-5993	171	15	positioning	positioning	NOUN
easat-5993	171	16	for	for	ADP
easat-5993	171	17	frequency	frequency	NOUN
easat-5993	171	18	and	and	CCONJ
easat-5993	171	19	temporal	temporal	ADJ
easat-5993	171	20	localization	localization	NOUN
easat-5993	171	21	.	.	PUNCT
easat-5993	172	1	the	the	DET
easat-5993	172	2	gabor	gabor	PROPN
easat-5993	172	3	function	function	NOUN
easat-5993	172	4	is	be	AUX
easat-5993	172	5	mathematically	mathematically	ADV
easat-5993	172	6	described	describe	VERB
easat-5993	172	7	in	in	ADP
easat-5993	172	8	a	a	DET
easat-5993	172	9	two	two	NUM
easat-5993	172	10	-	-	PUNCT
easat-5993	172	11	dimensional	dimensional	ADJ
easat-5993	172	12	space	space	NOUN
easat-5993	172	13	according	accord	VERB
easat-5993	172	14	to	to	ADP
easat-5993	172	15	equation	equation	NOUN
easat-5993	172	16	(	(	PUNCT
easat-5993	172	17	1	1	NUM
easat-5993	172	18	)	)	PUNCT
easat-5993	172	19	.	.	PUNCT
easat-5993	173	1	𝐺(𝑥1	𝐺(𝑥1	ADV
easat-5993	173	2	,	,	PUNCT
easat-5993	173	3	𝑦1	𝑦1	PROPN
easat-5993	173	4	,	,	PUNCT
easat-5993	173	5	𝜆	𝜆	NOUN
easat-5993	173	6	,	,	PUNCT
easat-5993	173	7	𝜃	𝜃	NOUN
easat-5993	173	8	,	,	PUNCT
easat-5993	173	9	∅	∅	NOUN
easat-5993	173	10	,	,	PUNCT
easat-5993	173	11	𝜎	𝜎	INTJ
easat-5993	173	12	,	,	PUNCT
easat-5993	173	13	𝛼	𝛼	NOUN
easat-5993	173	14	)	)	PUNCT
easat-5993	173	15	=	=	PUNCT
easat-5993	173	16	𝑒	𝑒	X
easat-5993	173	17	𝑥12	𝑥12	NOUN
easat-5993	173	18	+	+	CCONJ
easat-5993	173	19	𝑦2𝑦1	𝑦2𝑦1	NUM
easat-5993	173	20	2𝜎2	2𝜎2	NUM
easat-5993	173	21	∗	∗	NOUN
easat-5993	173	22	𝑒𝛽	𝑒𝛽	NOUN
easat-5993	173	23	(	(	PUNCT
easat-5993	173	24	2𝛱	2𝛱	PROPN
easat-5993	173	25	𝑥1	𝑥1	PROPN
easat-5993	173	26	𝜆	𝜆	PROPN
easat-5993	173	27	+	+	X
easat-5993	173	28	𝛹	𝛹	NOUN
easat-5993	173	29	)	)	PUNCT
easat-5993	173	30	(	(	PUNCT
easat-5993	173	31	1	1	X
easat-5993	173	32	)	)	PUNCT
easat-5993	173	33	384	384	NUM
easat-5993	173	34	edelweiss	edelweiss	PROPN
easat-5993	173	35	applied	apply	VERB
easat-5993	173	36	science	science	NOUN
easat-5993	173	37	and	and	CCONJ
easat-5993	173	38	technology	technology	NOUN
easat-5993	173	39	issn	issn	PROPN
easat-5993	173	40	:	:	PUNCT
easat-5993	173	41	2576	2576	NUM
easat-5993	173	42	-	-	SYM
easat-5993	173	43	8484	8484	NUM
easat-5993	173	44	vol	vol	NOUN
easat-5993	173	45	.	.	PROPN
easat-5993	174	1	9	9	NUM
easat-5993	174	2	,	,	PUNCT
easat-5993	174	3	no	no	INTJ
easat-5993	174	4	.	.	NOUN
easat-5993	174	5	4	4	NUM
easat-5993	174	6	:	:	PUNCT
easat-5993	174	7	379	379	NUM
easat-5993	174	8	-	-	SYM
easat-5993	174	9	394	394	NUM
easat-5993	174	10	,	,	PUNCT
easat-5993	174	11	2025	2025	NUM
easat-5993	174	12	doi	doi	NOUN
easat-5993	174	13	:	:	PUNCT
easat-5993	174	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	174	15	©	©	ADP
easat-5993	174	16	2025	2025	NUM
easat-5993	174	17	by	by	ADP
easat-5993	174	18	the	the	DET
easat-5993	174	19	authors	author	NOUN
easat-5993	174	20	;	;	PUNCT
easat-5993	174	21	licensee	licensee	PROPN
easat-5993	174	22	learning	learning	NOUN
easat-5993	174	23	gate	gate	NOUN
easat-5993	174	24	where	where	SCONJ
easat-5993	174	25	,	,	PUNCT
easat-5993	174	26	𝑥1	𝑥1	PROPN
easat-5993	174	27	=	=	SYM
easat-5993	174	28	𝑥𝑐𝑜𝑠(𝜋	𝑥𝑐𝑜𝑠(𝜋	PROPN
easat-5993	174	29	)	)	PUNCT
easat-5993	174	30	+	+	CCONJ
easat-5993	174	31	𝑦𝑠𝑖𝑛(𝜋	𝑦𝑠𝑖𝑛(𝜋	NOUN
easat-5993	174	32	)	)	PUNCT
easat-5993	174	33	and	and	CCONJ
easat-5993	174	34	𝑦1	𝑦1	PROPN
easat-5993	174	35	=	=	SYM
easat-5993	174	36	−𝑥𝑐𝑜𝑠(𝜋	−𝑥𝑐𝑜𝑠(𝜋	NUM
easat-5993	174	37	)	)	PUNCT
easat-5993	174	38	+	+	CCONJ
easat-5993	174	39	𝑦𝑠𝑖𝑛(𝜋	𝑦𝑠𝑖𝑛(𝜋	NOUN
easat-5993	174	40	)	)	PUNCT
easat-5993	174	41	,	,	PUNCT
easat-5993	174	42	𝜆	𝜆	NOUN
easat-5993	174	43	=	=	NOUN
easat-5993	174	44	bandwidth	bandwidth	NOUN
easat-5993	174	45	of	of	ADP
easat-5993	174	46	the	the	DET
easat-5993	174	47	function	function	NOUN
easat-5993	174	48	,	,	PUNCT
easat-5993	174	49	π	π	PROPN
easat-5993	174	50	=	=	SYM
easat-5993	174	51	symmetry	symmetry	PROPN
easat-5993	174	52	of	of	ADP
easat-5993	174	53	gabor	gabor	PROPN
easat-5993	174	54	filter	filter	PROPN
easat-5993	174	55	sinusoidal	sinusoidal	PROPN
easat-5993	174	56	signal	signal	NOUN
easat-5993	174	57	and	and	CCONJ
easat-5993	174	58	phase	phase	NOUN
easat-5993	174	59	offset	offset	VERB
easat-5993	174	60	α	α	NOUN
easat-5993	174	61	=	=	PUNCT
easat-5993	174	62	aspect	aspect	NOUN
easat-5993	174	63	ratio	ratio	NOUN
easat-5993	174	64	of	of	ADP
easat-5993	174	65	space	space	NOUN
easat-5993	174	66	σ	σ	NOUN
easat-5993	174	67	=	=	SYM
easat-5993	174	68	exponential	exponential	NOUN
easat-5993	174	69	envelope	envelope	NOUN
easat-5993	174	70	standard	standard	NOUN
easat-5993	174	71	error	error	NOUN
easat-5993	174	72	are	be	AUX
easat-5993	174	73	specified	specify	VERB
easat-5993	174	74	respectively	respectively	ADV
easat-5993	174	75	.	.	PUNCT
easat-5993	175	1	the	the	DET
easat-5993	175	2	use	use	NOUN
easat-5993	175	3	of	of	ADP
easat-5993	175	4	a	a	DET
easat-5993	175	5	mathematical	mathematical	ADJ
easat-5993	175	6	approach	approach	NOUN
easat-5993	175	7	quantitatively	quantitatively	ADV
easat-5993	175	8	characterizes	characterize	VERB
easat-5993	175	9	the	the	DET
easat-5993	175	10	texture	texture	NOUN
easat-5993	175	11	of	of	ADP
easat-5993	175	12	the	the	DET
easat-5993	175	13	picture	picture	NOUN
easat-5993	175	14	.	.	PUNCT
easat-5993	176	1	biomedical	biomedical	ADJ
easat-5993	176	2	images	image	NOUN
easat-5993	176	3	are	be	AUX
easat-5993	176	4	classified	classify	VERB
easat-5993	176	5	based	base	VERB
easat-5993	176	6	on	on	ADP
easat-5993	176	7	their	their	PRON
easat-5993	176	8	mathematical	mathematical	ADJ
easat-5993	176	9	attributes	attribute	NOUN
easat-5993	176	10	.	.	PUNCT
easat-5993	177	1	the	the	DET
easat-5993	177	2	gray	gray	ADJ
easat-5993	177	3	-	-	PUNCT
easat-5993	177	4	level	level	NOUN
easat-5993	177	5	co	co	NOUN
easat-5993	177	6	-	-	NOUN
easat-5993	177	7	occurrence	occurrence	ADJ
easat-5993	177	8	matrix	matrix	NOUN
easat-5993	177	9	(	(	PUNCT
easat-5993	177	10	glcm	glcm	PROPN
easat-5993	177	11	)	)	PUNCT
easat-5993	177	12	is	be	AUX
easat-5993	177	13	a	a	DET
easat-5993	177	14	procedure	procedure	NOUN
easat-5993	177	15	that	that	PRON
easat-5993	177	16	may	may	AUX
easat-5993	177	17	be	be	AUX
easat-5993	177	18	used	use	VERB
easat-5993	177	19	to	to	PART
easat-5993	177	20	quantify	quantify	VERB
easat-5993	177	21	the	the	DET
easat-5993	177	22	occurrence	occurrence	NOUN
easat-5993	177	23	of	of	ADP
easat-5993	177	24	two	two	NUM
easat-5993	177	25	pixels	pixel	NOUN
easat-5993	177	26	at	at	ADP
easat-5993	177	27	a	a	DET
easat-5993	177	28	certain	certain	ADJ
easat-5993	177	29	distance	distance	NOUN
easat-5993	177	30	from	from	ADP
easat-5993	177	31	each	each	DET
easat-5993	177	32	other	other	ADJ
easat-5993	177	33	.	.	PUNCT
easat-5993	178	1	the	the	DET
easat-5993	178	2	recommended	recommend	VERB
easat-5993	178	3	technique	technique	NOUN
easat-5993	178	4	involves	involve	VERB
easat-5993	178	5	variations	variation	NOUN
easat-5993	178	6	in	in	ADP
easat-5993	178	7	both	both	CCONJ
easat-5993	178	8	the	the	DET
easat-5993	178	9	wavelength	wavelength	NOUN
easat-5993	178	10	and	and	CCONJ
easat-5993	178	11	structure	structure	NOUN
easat-5993	178	12	of	of	ADP
easat-5993	178	13	the	the	DET
easat-5993	178	14	gabor	gabor	PROPN
easat-5993	178	15	filter	filter	NOUN
easat-5993	178	16	.	.	PUNCT
easat-5993	179	1	the	the	DET
easat-5993	179	2	frequencies	frequency	NOUN
easat-5993	179	3	often	often	ADV
easat-5993	179	4	seen	see	VERB
easat-5993	179	5	are	be	AUX
easat-5993	179	6	3.0	3.0	NUM
easat-5993	179	7	and	and	CCONJ
easat-5993	179	8	0.6	0.6	NUM
easat-5993	179	9	,	,	PUNCT
easat-5993	179	10	whereas	whereas	SCONJ
easat-5993	179	11	the	the	DET
easat-5993	179	12	average	average	ADJ
easat-5993	179	13	orientations	orientation	NOUN
easat-5993	179	14	are	be	AUX
easat-5993	179	15	distributed	distribute	VERB
easat-5993	179	16	at	at	ADP
easat-5993	179	17	five	five	NUM
easat-5993	179	18	specific	specific	ADJ
easat-5993	179	19	angles	angle	NOUN
easat-5993	179	20	:	:	PUNCT
easat-5993	179	21	0	0	NUM
easat-5993	179	22	,	,	PUNCT
easat-5993	179	23	45	45	NUM
easat-5993	179	24	,	,	PUNCT
easat-5993	179	25	90	90	NUM
easat-5993	179	26	,	,	PUNCT
easat-5993	179	27	135	135	NUM
easat-5993	179	28	,	,	PUNCT
easat-5993	179	29	and	and	CCONJ
easat-5993	179	30	180	180	NUM
easat-5993	179	31	.	.	PUNCT
easat-5993	180	1	consequently	consequently	ADV
easat-5993	180	2	,	,	PUNCT
easat-5993	180	3	there	there	PRON
easat-5993	180	4	are	be	VERB
easat-5993	180	5	a	a	DET
easat-5993	180	6	total	total	NOUN
easat-5993	180	7	of	of	ADP
easat-5993	180	8	10	10	NUM
easat-5993	180	9	potential	potential	ADJ
easat-5993	180	10	combinations	combination	NOUN
easat-5993	180	11	.	.	PUNCT
easat-5993	181	1	the	the	DET
easat-5993	181	2	statistical	statistical	ADJ
easat-5993	181	3	determination	determination	NOUN
easat-5993	181	4	of	of	ADP
easat-5993	181	5	picture	picture	NOUN
easat-5993	181	6	elements	element	NOUN
easat-5993	181	7	occurs	occur	VERB
easat-5993	181	8	after	after	SCONJ
easat-5993	181	9	the	the	DET
easat-5993	181	10	image	image	NOUN
easat-5993	181	11	has	have	AUX
easat-5993	181	12	been	be	AUX
easat-5993	181	13	transferred	transfer	VERB
easat-5993	181	14	to	to	ADP
easat-5993	181	15	the	the	DET
easat-5993	181	16	gabor	gabor	NOUN
easat-5993	181	17	filters	filter	NOUN
easat-5993	181	18	,	,	PUNCT
easat-5993	181	19	which	which	PRON
easat-5993	181	20	consist	consist	VERB
easat-5993	181	21	of	of	ADP
easat-5993	181	22	five	five	NUM
easat-5993	181	23	statistical	statistical	ADJ
easat-5993	181	24	characteristics	characteristic	NOUN
easat-5993	181	25	and	and	CCONJ
easat-5993	181	26	ten	ten	NUM
easat-5993	181	27	different	different	ADJ
easat-5993	181	28	filters	filter	NOUN
easat-5993	181	29	.	.	PUNCT
easat-5993	182	1	3.2.2	3.2.2	X
easat-5993	182	2	.	.	PUNCT
easat-5993	182	3	convolutional	convolutional	ADJ
easat-5993	182	4	neural	neural	ADJ
easat-5993	182	5	network	network	NOUN
easat-5993	182	6	cnn	cnn	PROPN
easat-5993	182	7	is	be	AUX
easat-5993	182	8	a	a	DET
easat-5993	182	9	type	type	NOUN
easat-5993	182	10	of	of	ADP
easat-5993	182	11	ann	ann	PROPN
easat-5993	182	12	designed	design	VERB
easat-5993	182	13	for	for	ADP
easat-5993	182	14	image	image	NOUN
easat-5993	182	15	recognition	recognition	NOUN
easat-5993	182	16	and	and	CCONJ
easat-5993	182	17	segmentation	segmentation	NOUN
easat-5993	182	18	.	.	PUNCT
easat-5993	183	1	cnn	cnn	PROPN
easat-5993	183	2	demonstrates	demonstrate	VERB
easat-5993	183	3	a	a	DET
easat-5993	183	4	high	high	ADJ
easat-5993	183	5	level	level	NOUN
easat-5993	183	6	of	of	ADP
easat-5993	183	7	proficiency	proficiency	NOUN
easat-5993	183	8	in	in	ADP
easat-5993	183	9	recording	record	VERB
easat-5993	183	10	the	the	DET
easat-5993	183	11	intricate	intricate	ADJ
easat-5993	183	12	attributes	attribute	NOUN
easat-5993	183	13	of	of	ADP
easat-5993	183	14	the	the	DET
easat-5993	183	15	re	re	NOUN
easat-5993	183	16	-	-	NOUN
easat-5993	183	17	lease	lease	NOUN
easat-5993	183	18	phase	phase	NOUN
easat-5993	183	19	.	.	PUNCT
easat-5993	184	1	the	the	DET
easat-5993	184	2	evaluation	evaluation	NOUN
easat-5993	184	3	of	of	ADP
easat-5993	184	4	cnn	cnn	PROPN
easat-5993	184	5	may	may	AUX
easat-5993	184	6	include	include	VERB
easat-5993	184	7	an	an	DET
easat-5993	184	8	assessment	assessment	NOUN
easat-5993	184	9	of	of	ADP
easat-5993	184	10	bias	bias	NOUN
easat-5993	184	11	and	and	CCONJ
easat-5993	184	12	the	the	DET
easat-5993	184	13	consideration	consideration	NOUN
easat-5993	184	14	of	of	ADP
easat-5993	184	15	weighted	weight	VERB
easat-5993	184	16	neurons	neuron	NOUN
easat-5993	184	17	.	.	PUNCT
easat-5993	185	1	every	every	DET
easat-5993	185	2	individual	individual	ADJ
easat-5993	185	3	neuron	neuron	NOUN
easat-5993	185	4	inside	inside	ADP
easat-5993	185	5	a	a	DET
easat-5993	185	6	neural	neural	ADJ
easat-5993	185	7	network	network	NOUN
easat-5993	185	8	is	be	AUX
easat-5993	185	9	subjected	subject	VERB
easat-5993	185	10	to	to	ADP
easat-5993	185	11	a	a	DET
easat-5993	185	12	unique	unique	ADJ
easat-5993	185	13	input	input	NOUN
easat-5993	185	14	and	and	CCONJ
easat-5993	185	15	afterwards	afterwards	ADV
easat-5993	185	16	selects	select	VERB
easat-5993	185	17	the	the	DET
easat-5993	185	18	information	information	NOUN
easat-5993	185	19	with	with	ADP
easat-5993	185	20	the	the	DET
easat-5993	185	21	most	most	ADV
easat-5993	185	22	incredible	incredible	ADJ
easat-5993	185	23	value	value	NOUN
easat-5993	185	24	to	to	PART
easat-5993	185	25	serve	serve	VERB
easat-5993	185	26	as	as	ADP
easat-5993	185	27	the	the	DET
easat-5993	185	28	active	active	ADJ
easat-5993	185	29	function	function	NOUN
easat-5993	185	30	.	.	PUNCT
easat-5993	186	1	the	the	DET
easat-5993	186	2	extraction	extraction	NOUN
easat-5993	186	3	of	of	ADP
easat-5993	186	4	a	a	DET
easat-5993	186	5	significant	significant	ADJ
easat-5993	186	6	proportion	proportion	NOUN
easat-5993	186	7	of	of	ADP
easat-5993	186	8	the	the	DET
easat-5993	186	9	size	size	NOUN
easat-5993	186	10	of	of	ADP
easat-5993	186	11	a	a	DET
easat-5993	186	12	feature	feature	NOUN
easat-5993	186	13	in	in	ADP
easat-5993	186	14	a	a	DET
easat-5993	186	15	cnn	cnn	NOUN
easat-5993	186	16	is	be	AUX
easat-5993	186	17	achieved	achieve	VERB
easat-5993	186	18	via	via	ADP
easat-5993	186	19	a	a	DET
easat-5993	186	20	sequence	sequence	NOUN
easat-5993	186	21	of	of	ADP
easat-5993	186	22	convolutional	convolutional	ADJ
easat-5993	186	23	layers	layer	NOUN
easat-5993	186	24	and	and	CCONJ
easat-5993	186	25	an	an	DET
easat-5993	186	26	indirect	indirect	ADJ
easat-5993	186	27	rectified	rectify	VERB
easat-5993	186	28	linear	linear	NOUN
easat-5993	186	29	unit	unit	NOUN
easat-5993	186	30	(	(	PUNCT
easat-5993	186	31	relu	relu	NOUN
easat-5993	186	32	)	)	PUNCT
easat-5993	186	33	function	function	NOUN
easat-5993	187	1	[	[	X
easat-5993	187	2	45	45	NUM
easat-5993	187	3	]	]	PUNCT
easat-5993	187	4	.	.	PUNCT
easat-5993	188	1	the	the	DET
easat-5993	188	2	maximum	maximum	ADJ
easat-5993	188	3	pooling	pool	VERB
easat-5993	188	4	layer	layer	NOUN
easat-5993	188	5	is	be	AUX
easat-5993	188	6	used	use	VERB
easat-5993	188	7	in	in	ADP
easat-5993	188	8	the	the	DET
easat-5993	188	9	reduction	reduction	NOUN
easat-5993	188	10	factor	factor	NOUN
easat-5993	188	11	map	map	NOUN
easat-5993	188	12	.	.	PUNCT
easat-5993	189	1	every	every	DET
easat-5993	189	2	neuron	neuron	NOUN
easat-5993	189	3	inside	inside	ADP
easat-5993	189	4	the	the	DET
easat-5993	189	5	system	system	NOUN
easat-5993	189	6	is	be	AUX
easat-5993	189	7	connected	connect	VERB
easat-5993	189	8	to	to	ADP
easat-5993	189	9	every	every	DET
easat-5993	189	10	other	other	ADJ
easat-5993	189	11	neuron	neuron	NOUN
easat-5993	189	12	in	in	ADP
easat-5993	189	13	the	the	DET
easat-5993	189	14	pre	pre	ADJ
easat-5993	189	15	-	-	ADJ
easat-5993	189	16	dense	dense	ADJ
easat-5993	189	17	compression	compression	NOUN
easat-5993	189	18	layer	layer	NOUN
easat-5993	189	19	,	,	PUNCT
easat-5993	189	20	forming	form	VERB
easat-5993	189	21	a	a	DET
easat-5993	189	22	fully	fully	ADV
easat-5993	189	23	integrated	integrate	VERB
easat-5993	189	24	network	network	NOUN
easat-5993	189	25	.	.	PUNCT
easat-5993	190	1	backpropagation	backpropagation	NOUN
easat-5993	190	2	and	and	CCONJ
easat-5993	190	3	gradient	gradient	ADJ
easat-5993	190	4	shrinking	shrinking	NOUN
easat-5993	190	5	are	be	AUX
easat-5993	190	6	often	often	ADV
easat-5993	190	7	used	use	VERB
easat-5993	190	8	techniques	technique	NOUN
easat-5993	190	9	in	in	ADP
easat-5993	190	10	network	network	NOUN
easat-5993	190	11	training	training	NOUN
easat-5993	190	12	.	.	PUNCT
easat-5993	191	1	the	the	DET
easat-5993	191	2	softmax	softmax	NOUN
easat-5993	191	3	function	function	NOUN
easat-5993	191	4	is	be	AUX
easat-5993	191	5	a	a	DET
easat-5993	191	6	probability	probability	NOUN
easat-5993	191	7	distribution	distribution	NOUN
easat-5993	191	8	often	often	ADV
easat-5993	191	9	used	use	VERB
easat-5993	191	10	to	to	PART
easat-5993	191	11	constrain	constrain	VERB
easat-5993	191	12	the	the	DET
easat-5993	191	13	aggregate	aggregate	ADJ
easat-5993	191	14	output	output	NOUN
easat-5993	191	15	of	of	ADP
easat-5993	191	16	a	a	DET
easat-5993	191	17	class	class	NOUN
easat-5993	191	18	within	within	ADP
easat-5993	191	19	the	the	DET
easat-5993	191	20	range	range	NOUN
easat-5993	191	21	of	of	ADP
easat-5993	191	22	0	0	NUM
easat-5993	191	23	to	to	PART
easat-5993	191	24	1	1	NUM
easat-5993	191	25	.	.	PUNCT
easat-5993	192	1	at	at	ADP
easat-5993	192	2	the	the	DET
easat-5993	192	3	concealed	conceal	VERB
easat-5993	192	4	layer	layer	NOUN
easat-5993	192	5	level	level	NOUN
easat-5993	192	6	,	,	PUNCT
easat-5993	192	7	the	the	DET
easat-5993	192	8	convolutional	convolutional	ADJ
easat-5993	192	9	neural	neural	ADJ
easat-5993	192	10	network	network	NOUN
easat-5993	192	11	(	(	PUNCT
easat-5993	192	12	cnn	cnn	PROPN
easat-5993	192	13	)	)	PUNCT
easat-5993	192	14	produces	produce	VERB
easat-5993	192	15	feature	feature	NOUN
easat-5993	192	16	maps	map	NOUN
easat-5993	192	17	that	that	PRON
easat-5993	192	18	assist	assist	VERB
easat-5993	192	19	the	the	DET
easat-5993	192	20	computational	computational	ADJ
easat-5993	192	21	model	model	NOUN
easat-5993	192	22	in	in	ADP
easat-5993	192	23	acquiring	acquire	VERB
easat-5993	192	24	knowledge	knowledge	NOUN
easat-5993	192	25	about	about	ADP
easat-5993	192	26	minute	minute	ADJ
easat-5993	192	27	visual	visual	ADJ
easat-5993	192	28	characteristics	characteristic	NOUN
easat-5993	192	29	.	.	PUNCT
easat-5993	193	1	the	the	DET
easat-5993	193	2	model	model	NOUN
easat-5993	193	3	is	be	AUX
easat-5993	193	4	trained	train	VERB
easat-5993	193	5	on	on	ADP
easat-5993	193	6	identical	identical	ADJ
easat-5993	193	7	mgwo	mgwo	NOUN
easat-5993	193	8	and	and	CCONJ
easat-5993	193	9	cnn	cnn	PROPN
easat-5993	193	10	parameter	parameter	PROPN
easat-5993	193	11	values	value	NOUN
easat-5993	193	12	inside	inside	ADP
easat-5993	193	13	a	a	DET
easat-5993	193	14	covid-19	covid-19	PROPN
easat-5993	193	15	chest	chest	NOUN
easat-5993	193	16	xray	xray	NOUN
easat-5993	193	17	dataset	dataset	PROPN
easat-5993	193	18	.	.	PUNCT
easat-5993	194	1	the	the	DET
easat-5993	194	2	use	use	NOUN
easat-5993	194	3	of	of	ADP
easat-5993	194	4	a	a	DET
easat-5993	194	5	gabor	gabor	NOUN
easat-5993	194	6	filter	filter	NOUN
easat-5993	194	7	is	be	AUX
easat-5993	194	8	employed	employ	VERB
easat-5993	194	9	throughout	throughout	ADP
easat-5993	194	10	the	the	DET
easat-5993	194	11	process	process	NOUN
easat-5993	194	12	of	of	ADP
easat-5993	194	13	algorithm	algorithm	NOUN
easat-5993	194	14	creation	creation	NOUN
easat-5993	194	15	.	.	PUNCT
easat-5993	195	1	the	the	DET
easat-5993	195	2	task	task	NOUN
easat-5993	195	3	involves	involve	VERB
easat-5993	195	4	analyzing	analyze	VERB
easat-5993	195	5	input	input	NOUN
easat-5993	195	6	chest	chest	NOUN
easat-5993	195	7	x	x	NOUN
easat-5993	195	8	-	-	NOUN
easat-5993	195	9	ray	ray	NOUN
easat-5993	195	10	data	datum	NOUN
easat-5993	195	11	and	and	CCONJ
easat-5993	195	12	evaluating	evaluate	VERB
easat-5993	195	13	the	the	DET
easat-5993	195	14	training	training	NOUN
easat-5993	195	15	process	process	NOUN
easat-5993	195	16	using	use	VERB
easat-5993	195	17	an	an	DET
easat-5993	195	18	80:20	80:20	NUM
easat-5993	195	19	ratio	ratio	NOUN
easat-5993	195	20	.	.	PUNCT
easat-5993	196	1	each	each	DET
easat-5993	196	2	chest	chest	NOUN
easat-5993	196	3	x	x	NOUN
easat-5993	196	4	-	-	NOUN
easat-5993	196	5	ray	ray	NOUN
easat-5993	196	6	image	image	NOUN
easat-5993	196	7	will	will	AUX
easat-5993	196	8	be	be	AUX
easat-5993	196	9	as	as	ADP
easat-5993	196	10	-	-	PUNCT
easat-5993	196	11	signed	sign	VERB
easat-5993	196	12	a	a	DET
easat-5993	196	13	label	label	NOUN
easat-5993	196	14	during	during	ADP
easat-5993	196	15	the	the	DET
easat-5993	196	16	training	training	NOUN
easat-5993	196	17	phase	phase	NOUN
easat-5993	196	18	.	.	PUNCT
easat-5993	197	1	subsequently	subsequently	ADV
easat-5993	197	2	,	,	PUNCT
easat-5993	197	3	it	it	PRON
easat-5993	197	4	is	be	AUX
easat-5993	197	5	necessary	necessary	ADJ
easat-5993	197	6	to	to	PART
easat-5993	197	7	provide	provide	VERB
easat-5993	197	8	models	model	NOUN
easat-5993	197	9	for	for	ADP
easat-5993	197	10	the	the	DET
easat-5993	197	11	input	input	NOUN
easat-5993	197	12	and	and	CCONJ
easat-5993	197	13	output	output	NOUN
easat-5993	197	14	layers	layer	NOUN
easat-5993	197	15	.	.	PUNCT
easat-5993	198	1	the	the	DET
easat-5993	198	2	input	input	NOUN
easat-5993	198	3	convolution	convolution	NOUN
easat-5993	198	4	layer	layer	NOUN
easat-5993	198	5	is	be	AUX
easat-5993	198	6	produced	produce	VERB
easat-5993	198	7	by	by	ADP
easat-5993	198	8	the	the	DET
easat-5993	198	9	output	output	NOUN
easat-5993	198	10	of	of	ADP
easat-5993	198	11	fc8	fc8	NOUN
easat-5993	198	12	,	,	PUNCT
easat-5993	198	13	which	which	PRON
easat-5993	198	14	is	be	AUX
easat-5993	198	15	subjected	subject	VERB
easat-5993	198	16	to	to	ADP
easat-5993	198	17	48	48	NUM
easat-5993	198	18	filters	filter	NOUN
easat-5993	198	19	with	with	ADP
easat-5993	198	20	3	3	NUM
easat-5993	198	21	*	*	SYM
easat-5993	198	22	3	3	NUM
easat-5993	198	23	and	and	CCONJ
easat-5993	198	24	64	64	NUM
easat-5993	198	25	dimensions	dimension	NOUN
easat-5993	198	26	.	.	PUNCT
easat-5993	199	1	next	next	ADV
easat-5993	199	2	,	,	PUNCT
easat-5993	199	3	the	the	DET
easat-5993	199	4	activation	activation	NOUN
easat-5993	199	5	function	function	NOUN
easat-5993	199	6	is	be	AUX
easat-5993	199	7	applied	apply	VERB
easat-5993	199	8	to	to	ADP
easat-5993	199	9	the	the	DET
easat-5993	199	10	cnn	cnn	PROPN
easat-5993	199	11	methodology	methodology	NOUN
easat-5993	199	12	,	,	PUNCT
easat-5993	199	13	which	which	PRON
easat-5993	199	14	is	be	AUX
easat-5993	199	15	trained	train	VERB
easat-5993	199	16	using	use	VERB
easat-5993	199	17	the	the	DET
easat-5993	199	18	re	re	NOUN
easat-5993	199	19	-	-	ADJ
easat-5993	199	20	quired	quired	ADJ
easat-5993	199	21	attributes	attribute	NOUN
easat-5993	199	22	for	for	ADP
easat-5993	199	23	covid-19	covid-19	PROPN
easat-5993	199	24	imaging	imaging	NOUN
easat-5993	199	25	.	.	PUNCT
easat-5993	200	1	the	the	DET
easat-5993	200	2	algorithm	algorithm	NOUN
easat-5993	200	3	for	for	ADP
easat-5993	200	4	the	the	DET
easat-5993	200	5	suggested	suggest	VERB
easat-5993	200	6	system	system	NOUN
easat-5993	200	7	,	,	PUNCT
easat-5993	200	8	mgwo	mgwo	NOUN
easat-5993	200	9	-	-	PUNCT
easat-5993	200	10	cnn	cnn	PROPN
easat-5993	200	11	,	,	PUNCT
easat-5993	200	12	is	be	AUX
easat-5993	200	13	shown	show	VERB
easat-5993	200	14	below	below	ADV
easat-5993	200	15	.	.	PUNCT
easat-5993	201	1	figure	figure	NOUN
easat-5993	201	2	2	2	NUM
easat-5993	201	3	depicts	depict	VERB
easat-5993	201	4	the	the	DET
easat-5993	201	5	proposed	propose	VERB
easat-5993	201	6	system	system	NOUN
easat-5993	201	7	,	,	PUNCT
easat-5993	201	8	whereby	whereby	SCONJ
easat-5993	201	9	a	a	DET
easat-5993	201	10	gabor	gabor	NOUN
easat-5993	201	11	filter	filter	NOUN
easat-5993	201	12	is	be	AUX
easat-5993	201	13	employed	employ	VERB
easat-5993	201	14	to	to	PART
easat-5993	201	15	enhance	enhance	VERB
easat-5993	201	16	the	the	DET
easat-5993	201	17	efficacy	efficacy	NOUN
easat-5993	201	18	and	and	CCONJ
easat-5993	201	19	robustness	robustness	NOUN
easat-5993	201	20	of	of	ADP
easat-5993	201	21	the	the	DET
easat-5993	201	22	methodology	methodology	NOUN
easat-5993	201	23	.	.	PUNCT
easat-5993	202	1	subsequently	subsequently	ADV
easat-5993	202	2	,	,	PUNCT
easat-5993	202	3	the	the	DET
easat-5993	202	4	fs	fs	NOUN
easat-5993	202	5	process	process	NOUN
easat-5993	202	6	is	be	AUX
easat-5993	202	7	used	use	VERB
easat-5993	202	8	to	to	PART
easat-5993	202	9	ascertain	ascertain	VERB
easat-5993	202	10	the	the	DET
easat-5993	202	11	greatest	great	ADJ
easat-5993	202	12	significant	significant	ADJ
easat-5993	202	13	characteristics	characteristic	NOUN
easat-5993	202	14	based	base	VERB
easat-5993	202	15	on	on	ADP
easat-5993	202	16	the	the	DET
easat-5993	202	17	given	give	VERB
easat-5993	202	18	data	datum	NOUN
easat-5993	202	19	,	,	PUNCT
easat-5993	202	20	specifically	specifically	ADV
easat-5993	202	21	in	in	ADP
easat-5993	202	22	the	the	DET
easat-5993	202	23	context	context	NOUN
easat-5993	202	24	of	of	ADP
easat-5993	202	25	mgwo	mgwo	NOUN
easat-5993	202	26	-	-	PUNCT
easat-5993	202	27	cnn	cnn	PROPN
easat-5993	202	28	.	.	PUNCT
easat-5993	203	1	385	385	NUM
easat-5993	203	2	edelweiss	edelweiss	PROPN
easat-5993	203	3	applied	apply	VERB
easat-5993	203	4	science	science	NOUN
easat-5993	203	5	and	and	CCONJ
easat-5993	203	6	technology	technology	NOUN
easat-5993	203	7	issn	issn	PROPN
easat-5993	203	8	:	:	PUNCT
easat-5993	203	9	2576	2576	NUM
easat-5993	203	10	-	-	SYM
easat-5993	203	11	8484	8484	NUM
easat-5993	203	12	vol	vol	NOUN
easat-5993	203	13	.	.	PROPN
easat-5993	204	1	9	9	NUM
easat-5993	204	2	,	,	PUNCT
easat-5993	204	3	no	no	INTJ
easat-5993	204	4	.	.	NOUN
easat-5993	204	5	4	4	NUM
easat-5993	204	6	:	:	PUNCT
easat-5993	204	7	379	379	NUM
easat-5993	204	8	-	-	SYM
easat-5993	204	9	394	394	NUM
easat-5993	204	10	,	,	PUNCT
easat-5993	204	11	2025	2025	NUM
easat-5993	204	12	doi	doi	NOUN
easat-5993	204	13	:	:	PUNCT
easat-5993	204	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	204	15	©	©	ADP
easat-5993	204	16	2025	2025	NUM
easat-5993	204	17	by	by	ADP
easat-5993	204	18	the	the	DET
easat-5993	204	19	authors	author	NOUN
easat-5993	204	20	;	;	PUNCT
easat-5993	204	21	licensee	licensee	PROPN
easat-5993	204	22	learning	learn	VERB
easat-5993	204	23	gate	gate	NOUN
easat-5993	204	24	figure	figure	NOUN
easat-5993	204	25	2	2	NUM
easat-5993	204	26	.	.	PUNCT
easat-5993	204	27	flow	flow	NOUN
easat-5993	204	28	diagram	diagram	NOUN
easat-5993	204	29	of	of	ADP
easat-5993	204	30	the	the	DET
easat-5993	204	31	proposed	propose	VERB
easat-5993	204	32	system	system	NOUN
easat-5993	204	33	.	.	PUNCT
easat-5993	205	1	3.2.3	3.2.3	X
easat-5993	205	2	.	.	PUNCT
easat-5993	205	3	greywolf	greywolf	NOUN
easat-5993	205	4	optimization	optimization	NOUN
easat-5993	205	5	algorithm	algorithm	NOUN
easat-5993	205	6	the	the	DET
easat-5993	205	7	gwo	gwo	PROPN
easat-5993	205	8	method	method	NOUN
easat-5993	205	9	belongs	belong	VERB
easat-5993	205	10	to	to	ADP
easat-5993	205	11	the	the	DET
easat-5993	205	12	category	category	NOUN
easat-5993	205	13	of	of	ADP
easat-5993	205	14	swarm	swarm	NOUN
easat-5993	205	15	-	-	PUNCT
easat-5993	205	16	intelligence	intelligence	NOUN
easat-5993	205	17	optimization	optimization	NOUN
easat-5993	205	18	algorithms	algorithm	NOUN
easat-5993	205	19	,	,	PUNCT
easat-5993	205	20	and	and	CCONJ
easat-5993	205	21	its	its	PRON
easat-5993	205	22	design	design	NOUN
easat-5993	205	23	has	have	AUX
easat-5993	205	24	been	be	AUX
easat-5993	205	25	affected	affect	VERB
easat-5993	205	26	by	by	ADP
easat-5993	205	27	several	several	ADJ
easat-5993	205	28	instances	instance	NOUN
easat-5993	205	29	.	.	PUNCT
easat-5993	206	1	mirjalili	mirjalili	NOUN
easat-5993	206	2	,	,	PUNCT
easat-5993	206	3	et	et	PROPN
easat-5993	206	4	al	al	PROPN
easat-5993	206	5	.	.	PUNCT
easat-5993	207	1	[	[	X
easat-5993	207	2	46	46	NUM
easat-5993	207	3	]	]	PUNCT
easat-5993	207	4	proposed	propose	VERB
easat-5993	207	5	the	the	DET
easat-5993	207	6	simulation	simulation	NOUN
easat-5993	207	7	of	of	ADP
easat-5993	207	8	grey	grey	ADJ
easat-5993	207	9	wolves	wolf	NOUN
easat-5993	207	10	'	'	PART
easat-5993	207	11	hunting	hunting	NOUN
easat-5993	207	12	process	process	NOUN
easat-5993	207	13	as	as	ADP
easat-5993	207	14	the	the	DET
easat-5993	207	15	gray	gray	ADJ
easat-5993	207	16	wolf	wolf	NOUN
easat-5993	207	17	optimizer	optimizer	NOUN
easat-5993	207	18	(	(	PUNCT
easat-5993	207	19	gwo	gwo	PROPN
easat-5993	207	20	)	)	PUNCT
easat-5993	207	21	.	.	PUNCT
easat-5993	208	1	grey	grey	ADJ
easat-5993	208	2	wolves	wolf	NOUN
easat-5993	208	3	have	have	VERB
easat-5993	208	4	a	a	DET
easat-5993	208	5	strictly	strictly	ADV
easat-5993	208	6	hierarchical	hierarchical	ADJ
easat-5993	208	7	social	social	ADJ
easat-5993	208	8	structure	structure	NOUN
easat-5993	208	9	,	,	PUNCT
easat-5993	208	10	whereby	whereby	SCONJ
easat-5993	208	11	an	an	DET
easat-5993	208	12	alpha	alpha	NOUN
easat-5993	208	13	wolf	wolf	NOUN
easat-5993	208	14	assumes	assume	VERB
easat-5993	208	15	the	the	DET
easat-5993	208	16	role	role	NOUN
easat-5993	208	17	of	of	ADP
easat-5993	208	18	the	the	DET
easat-5993	208	19	primary	primary	ADJ
easat-5993	208	20	decision	decision	NOUN
easat-5993	208	21	-	-	PUNCT
easat-5993	208	22	maker	maker	NOUN
easat-5993	208	23	,	,	PUNCT
easat-5993	208	24	with	with	ADP
easat-5993	208	25	beta	beta	NOUN
easat-5993	208	26	and	and	CCONJ
easat-5993	208	27	delta	delta	NOUN
easat-5993	208	28	wolves	wolf	NOUN
easat-5993	208	29	occupying	occupy	VERB
easat-5993	208	30	subordinate	subordinate	ADJ
easat-5993	208	31	positions	position	NOUN
easat-5993	208	32	.	.	PUNCT
easat-5993	209	1	the	the	DET
easat-5993	209	2	set	set	NOUN
easat-5993	209	3	that	that	PRON
easat-5993	209	4	remains	remain	VERB
easat-5993	209	5	is	be	AUX
easat-5993	209	6	categorized	categorize	VERB
easat-5993	209	7	as	as	ADP
easat-5993	209	8	omegas	omega	NOUN
easat-5993	209	9	,	,	PUNCT
easat-5993	209	10	as	as	SCONJ
easat-5993	209	11	stated	state	VERB
easat-5993	209	12	by	by	ADP
easat-5993	209	13	mirjalili	mirjalili	NOUN
easat-5993	209	14	,	,	PUNCT
easat-5993	209	15	et	et	PROPN
easat-5993	209	16	al	al	PROPN
easat-5993	209	17	.	.	PUNCT
easat-5993	210	1	[	[	X
easat-5993	210	2	46	46	NUM
easat-5993	210	3	]	]	PUNCT
easat-5993	210	4	in	in	ADP
easat-5993	210	5	2014	2014	NUM
easat-5993	210	6	.	.	PUNCT
easat-5993	211	1	the	the	DET
easat-5993	211	2	gwo	gwo	PROPN
easat-5993	211	3	technique	technique	NOUN
easat-5993	211	4	is	be	AUX
easat-5993	211	5	an	an	DET
easat-5993	211	6	optimization	optimization	NOUN
easat-5993	211	7	approach	approach	NOUN
easat-5993	211	8	rooted	root	VERB
easat-5993	211	9	in	in	ADP
easat-5993	211	10	nature	nature	NOUN
easat-5993	211	11	,	,	PUNCT
easat-5993	211	12	which	which	PRON
easat-5993	211	13	employs	employ	VERB
easat-5993	211	14	a	a	DET
easat-5993	211	15	hierarchical	hierarchical	ADJ
easat-5993	211	16	leadership	leadership	NOUN
easat-5993	211	17	structure	structure	NOUN
easat-5993	211	18	to	to	PART
easat-5993	211	19	provide	provide	VERB
easat-5993	211	20	the	the	DET
easat-5993	211	21	most	most	ADV
easat-5993	211	22	optimal	optimal	ADJ
easat-5993	211	23	solution	solution	NOUN
easat-5993	211	24	to	to	ADP
easat-5993	211	25	a	a	DET
easat-5993	211	26	given	give	VERB
easat-5993	211	27	issue	issue	NOUN
easat-5993	211	28	.	.	PUNCT
easat-5993	212	1	alpha	alpha	NOUN
easat-5993	212	2	wolves	wolf	NOUN
easat-5993	212	3	assume	assume	VERB
easat-5993	212	4	leadership	leadership	NOUN
easat-5993	212	5	roles	role	NOUN
easat-5993	212	6	within	within	ADP
easat-5993	212	7	their	their	PRON
easat-5993	212	8	pack	pack	NOUN
easat-5993	212	9	and	and	CCONJ
easat-5993	212	10	possess	possess	VERB
easat-5993	212	11	decision	decision	NOUN
easat-5993	212	12	-	-	PUNCT
easat-5993	212	13	making	make	VERB
easat-5993	212	14	authority	authority	NOUN
easat-5993	212	15	on	on	ADP
easat-5993	212	16	hunting	hunt	VERB
easat-5993	212	17	activities	activity	NOUN
easat-5993	212	18	.	.	PUNCT
easat-5993	213	1	the	the	DET
easat-5993	213	2	dominant	dominant	ADJ
easat-5993	213	3	wolves	wolf	NOUN
easat-5993	213	4	within	within	ADP
easat-5993	213	5	the	the	DET
easat-5993	213	6	group	group	NOUN
easat-5993	213	7	consistently	consistently	ADV
easat-5993	213	8	exhibit	exhibit	VERB
easat-5993	213	9	superior	superior	ADJ
easat-5993	213	10	strength	strength	NOUN
easat-5993	213	11	,	,	PUNCT
easat-5993	213	12	exerting	exert	VERB
easat-5993	213	13	influence	influence	NOUN
easat-5993	213	14	over	over	ADP
easat-5993	213	15	decision	decision	NOUN
easat-5993	213	16	-	-	PUNCT
easat-5993	213	17	making	make	VERB
easat-5993	213	18	processes	process	NOUN
easat-5993	213	19	,	,	PUNCT
easat-5993	213	20	which	which	PRON
easat-5993	213	21	necessitates	necessitate	VERB
easat-5993	213	22	compliance	compliance	NOUN
easat-5993	213	23	from	from	ADP
easat-5993	213	24	the	the	DET
easat-5993	213	25	rest	rest	NOUN
easat-5993	213	26	of	of	ADP
easat-5993	213	27	the	the	DET
easat-5993	213	28	pack	pack	NOUN
easat-5993	213	29	.	.	PUNCT
easat-5993	214	1	the	the	DET
easat-5993	214	2	alpha	alpha	ADJ
easat-5993	214	3	members	member	NOUN
easat-5993	214	4	of	of	ADP
easat-5993	214	5	a	a	DET
easat-5993	214	6	pack	pack	NOUN
easat-5993	214	7	do	do	AUX
easat-5993	214	8	not	not	PART
easat-5993	214	9	necessarily	necessarily	ADV
easat-5993	214	10	need	need	VERB
easat-5993	214	11	to	to	PART
easat-5993	214	12	possess	possess	VERB
easat-5993	214	13	the	the	DET
easat-5993	214	14	highest	high	ADJ
easat-5993	214	15	level	level	NOUN
easat-5993	214	16	of	of	ADP
easat-5993	214	17	physical	physical	ADJ
easat-5993	214	18	strength	strength	NOUN
easat-5993	214	19	.	.	PUNCT
easat-5993	215	1	still	still	ADV
easat-5993	215	2	,	,	PUNCT
easat-5993	215	3	they	they	PRON
easat-5993	215	4	are	be	AUX
easat-5993	215	5	more	more	ADV
easat-5993	215	6	advantageous	advantageous	ADJ
easat-5993	215	7	in	in	ADP
easat-5993	215	8	exerting	exert	VERB
easat-5993	215	9	authority	authority	NOUN
easat-5993	215	10	over	over	ADP
easat-5993	215	11	the	the	DET
easat-5993	215	12	whole	whole	ADJ
easat-5993	215	13	pack	pack	NOUN
easat-5993	215	14	.	.	PUNCT
easat-5993	216	1	the	the	DET
easat-5993	216	2	beta	beta	ADJ
easat-5993	216	3	wolves	wolf	NOUN
easat-5993	216	4	have	have	VERB
easat-5993	216	5	a	a	DET
easat-5993	216	6	subordinate	subordinate	ADJ
easat-5993	216	7	position	position	NOUN
easat-5993	216	8	in	in	ADP
easat-5993	216	9	social	social	ADJ
easat-5993	216	10	order	order	NOUN
easat-5993	216	11	.	.	PUNCT
easat-5993	217	1	a	a	DET
easat-5993	217	2	beta	beta	NOUN
easat-5993	217	3	wolf	wolf	NOUN
easat-5993	217	4	assumes	assume	VERB
easat-5993	217	5	the	the	DET
easat-5993	217	6	function	function	NOUN
easat-5993	217	7	of	of	ADP
easat-5993	217	8	an	an	DET
easat-5993	217	9	alpha	alpha	NOUN
easat-5993	217	10	counselor	counselor	NOUN
easat-5993	217	11	,	,	PUNCT
easat-5993	217	12	providing	provide	VERB
easat-5993	217	13	guidance	guidance	NOUN
easat-5993	217	14	and	and	CCONJ
easat-5993	217	15	support	support	NOUN
easat-5993	217	16	to	to	ADP
easat-5993	217	17	individuals	individual	NOUN
easat-5993	217	18	in	in	ADP
easat-5993	217	19	navigating	navigate	VERB
easat-5993	217	20	their	their	PRON
easat-5993	217	21	moral	moral	ADJ
easat-5993	217	22	decision	decision	NOUN
easat-5993	217	23	-	-	PUNCT
easat-5993	217	24	making	make	VERB
easat-5993	217	25	processes	process	NOUN
easat-5993	217	26	.	.	PUNCT
easat-5993	218	1	the	the	DET
easat-5993	218	2	beta	beta	ADJ
easat-5993	218	3	wolf	wolf	NOUN
easat-5993	218	4	takes	take	VERB
easat-5993	218	5	the	the	DET
easat-5993	218	6	function	function	NOUN
easat-5993	218	7	of	of	ADP
easat-5993	218	8	the	the	DET
easat-5993	218	9	alpha	alpha	NOUN
easat-5993	218	10	wolf	wolf	NOUN
easat-5993	218	11	upon	upon	SCONJ
easat-5993	218	12	the	the	DET
easat-5993	218	13	death	death	NOUN
easat-5993	218	14	or	or	CCONJ
easat-5993	218	15	aging	aging	NOUN
easat-5993	218	16	of	of	ADP
easat-5993	218	17	the	the	DET
easat-5993	218	18	current	current	ADJ
easat-5993	218	19	alpha	alpha	NOUN
easat-5993	218	20	wolf	wolf	NOUN
easat-5993	218	21	.	.	PUNCT
easat-5993	219	1	omega	omega	NOUN
easat-5993	219	2	wolves	wolf	NOUN
easat-5993	219	3	,	,	PUNCT
easat-5993	219	4	who	who	PRON
easat-5993	219	5	assume	assume	VERB
easat-5993	219	6	the	the	DET
easat-5993	219	7	role	role	NOUN
easat-5993	219	8	of	of	ADP
easat-5993	219	9	the	the	DET
easat-5993	219	10	goat	goat	PROPN
easat-5993	219	11	emissary	emissary	NOUN
easat-5993	219	12	,	,	PUNCT
easat-5993	219	13	are	be	AUX
easat-5993	219	14	responsible	responsible	ADJ
easat-5993	219	15	for	for	ADP
easat-5993	219	16	enforcing	enforce	VERB
easat-5993	219	17	the	the	DET
easat-5993	219	18	directives	directive	NOUN
easat-5993	219	19	of	of	ADP
easat-5993	219	20	the	the	DET
easat-5993	219	21	alpha	alpha	NOUN
easat-5993	219	22	inside	inside	ADP
easat-5993	219	23	the	the	DET
easat-5993	219	24	pack	pack	NOUN
easat-5993	219	25	.	.	PUNCT
easat-5993	220	1	their	their	PRON
easat-5993	220	2	primary	primary	ADJ
easat-5993	220	3	function	function	NOUN
easat-5993	220	4	is	be	AUX
easat-5993	220	5	to	to	PART
easat-5993	220	6	uphold	uphold	VERB
easat-5993	220	7	law	law	NOUN
easat-5993	220	8	and	and	CCONJ
easat-5993	220	9	order	order	NOUN
easat-5993	220	10	among	among	ADP
easat-5993	220	11	all	all	DET
easat-5993	220	12	subordinate	subordinate	ADJ
easat-5993	220	13	levels	level	NOUN
easat-5993	220	14	within	within	ADP
easat-5993	220	15	the	the	DET
easat-5993	220	16	hierarchical	hierarchical	ADJ
easat-5993	220	17	structure	structure	NOUN
easat-5993	220	18	that	that	PRON
easat-5993	220	19	they	they	PRON
easat-5993	220	20	oversee	oversee	VERB
easat-5993	220	21	.	.	PUNCT
easat-5993	221	1	individuals	individual	NOUN
easat-5993	221	2	are	be	AUX
easat-5993	221	3	expected	expect	VERB
easat-5993	221	4	to	to	PART
easat-5993	221	5	submit	submit	VERB
easat-5993	221	6	to	to	ADP
easat-5993	221	7	the	the	DET
easat-5993	221	8	dominant	dominant	ADJ
easat-5993	221	9	wolves	wolf	NOUN
easat-5993	221	10	,	,	PUNCT
easat-5993	221	11	after	after	ADP
easat-5993	221	12	which	which	PRON
easat-5993	221	13	they	they	PRON
easat-5993	221	14	participate	participate	VERB
easat-5993	221	15	in	in	ADP
easat-5993	221	16	the	the	DET
easat-5993	221	17	act	act	NOUN
easat-5993	221	18	of	of	ADP
easat-5993	221	19	consumption	consumption	NOUN
easat-5993	221	20	.	.	PUNCT
easat-5993	222	1	the	the	DET
easat-5993	222	2	number	number	NOUN
easat-5993	222	3	of	of	ADP
easat-5993	222	4	wolves	wolf	NOUN
easat-5993	222	5	,	,	PUNCT
easat-5993	222	6	iterations	iteration	NOUN
easat-5993	222	7	,	,	PUNCT
easat-5993	222	8	and	and	CCONJ
easat-5993	222	9	population	population	NOUN
easat-5993	222	10	level	level	NOUN
easat-5993	222	11	are	be	AUX
easat-5993	222	12	initialized	initialize	VERB
easat-5993	222	13	during	during	ADP
easat-5993	222	14	the	the	DET
easat-5993	222	15	preprocessing	preprocessing	NOUN
easat-5993	222	16	phase	phase	NOUN
easat-5993	222	17	.	.	PUNCT
easat-5993	223	1	by	by	ADP
easat-5993	223	2	using	use	VERB
easat-5993	223	3	this	this	DET
easat-5993	223	4	initialization	initialization	NOUN
easat-5993	223	5	,	,	PUNCT
easat-5993	223	6	we	we	PRON
easat-5993	223	7	may	may	AUX
easat-5993	223	8	make	make	VERB
easat-5993	223	9	estimations	estimation	NOUN
easat-5993	223	10	for	for	ADP
easat-5993	223	11	the	the	DET
easat-5993	223	12	parameters	parameter	NOUN
easat-5993	223	13	α	α	NOUN
easat-5993	223	14	,	,	PUNCT
easat-5993	223	15	β	β	PROPN
easat-5993	223	16	,	,	PUNCT
easat-5993	223	17	δ	δ	PROPN
easat-5993	223	18	,	,	PUNCT
easat-5993	223	19	and	and	CCONJ
easat-5993	223	20	ω	ω	X
easat-5993	223	21	.	.	PUNCT
easat-5993	224	1	wolves	wolf	NOUN
easat-5993	224	2	characterized	characterize	VERB
easat-5993	224	3	by	by	ADP
easat-5993	224	4	alpha	alpha	PROPN
easat-5993	224	5	,	,	PUNCT
easat-5993	224	6	beta	beta	NOUN
easat-5993	224	7	,	,	PUNCT
easat-5993	224	8	delta	delta	NOUN
easat-5993	224	9	,	,	PUNCT
easat-5993	224	10	and	and	CCONJ
easat-5993	224	11	omega	omega	NOUN
easat-5993	224	12	attributes	attribute	NOUN
easat-5993	224	13	were	be	AUX
easat-5993	224	14	considered	consider	VERB
easat-5993	224	15	socially	socially	ADV
easat-5993	224	16	acceptable	acceptable	ADJ
easat-5993	224	17	.	.	PUNCT
easat-5993	225	1	the	the	DET
easat-5993	225	2	wolves	wolf	NOUN
easat-5993	225	3	'	'	PART
easat-5993	225	4	observed	observed	ADJ
easat-5993	225	5	behaviour	behaviour	NOUN
easat-5993	225	6	included	include	VERB
easat-5993	225	7	encircling	encircle	VERB
easat-5993	225	8	,	,	PUNCT
easat-5993	225	9	which	which	PRON
easat-5993	225	10	was	be	AUX
easat-5993	225	11	quantified	quantify	VERB
easat-5993	225	12	utilizing	utilize	VERB
easat-5993	225	13	equations	equation	NOUN
easat-5993	225	14	(	(	PUNCT
easat-5993	225	15	2	2	NUM
easat-5993	225	16	)	)	PUNCT
easat-5993	225	17	and	and	CCONJ
easat-5993	225	18	(	(	PUNCT
easat-5993	225	19	3	3	NUM
easat-5993	225	20	)	)	PUNCT
easat-5993	225	21	.	.	PUNCT
easat-5993	226	1	�	�	PROPN
easat-5993	226	2	⃗⃗	⃗⃗	PROPN
easat-5993	226	3	�	�	PROPN
easat-5993	226	4	=	=	SYM
easat-5993	226	5	|	|	PROPN
easat-5993	226	6	𝐶	𝐶	PROPN
easat-5993	226	7	.	.	PUNCT
easat-5993	227	1	𝑋𝑝	𝑋𝑝	PROPN
easat-5993	227	2	⃗⃗	⃗⃗	PROPN
easat-5993	227	3	⃗⃗	⃗⃗	PROPN
easat-5993	227	4	(	(	PUNCT
easat-5993	227	5	𝑡	𝑡	NOUN
easat-5993	227	6	)	)	PUNCT
easat-5993	227	7	−	−	PROPN
easat-5993	228	1	𝑋	𝑋	PROPN
easat-5993	228	2	(	(	PUNCT
easat-5993	228	3	𝑡)|	𝑡)|	PROPN
easat-5993	228	4	,	,	PUNCT
easat-5993	228	5	(	(	PUNCT
easat-5993	228	6	2	2	X
easat-5993	228	7	)	)	PUNCT
easat-5993	228	8	𝑋	𝑋	NOUN
easat-5993	228	9	(	(	PUNCT
easat-5993	228	10	𝑡	𝑡	X
easat-5993	228	11	+	+	NOUN
easat-5993	228	12	1	1	NUM
easat-5993	228	13	)	)	PUNCT
easat-5993	228	14	=	=	PUNCT
easat-5993	229	1	𝑋𝑝	𝑋𝑝	PROPN
easat-5993	229	2	⃗⃗	⃗⃗	PROPN
easat-5993	229	3	⃗⃗	⃗⃗	PROPN
easat-5993	229	4	(	(	PUNCT
easat-5993	229	5	𝑡	𝑡	NOUN
easat-5993	229	6	)	)	PUNCT
easat-5993	229	7	−	−	PROPN
easat-5993	229	8	(	(	PUNCT
easat-5993	229	9	𝐴	𝐴	PROPN
easat-5993	229	10	�	�	PROPN
easat-5993	229	11	⃗⃗	⃗⃗	PROPN
easat-5993	229	12	�	�	PROPN
easat-5993	229	13	)	)	PUNCT
easat-5993	229	14	,	,	PUNCT
easat-5993	229	15	(	(	PUNCT
easat-5993	229	16	3	3	X
easat-5993	229	17	)	)	PUNCT
easat-5993	229	18	in	in	ADP
easat-5993	229	19	the	the	DET
easat-5993	229	20	above	above	ADJ
easat-5993	229	21	context	context	NOUN
easat-5993	229	22	,	,	PUNCT
easat-5993	229	23	the	the	DET
easat-5993	229	24	symbol	symbol	NOUN
easat-5993	229	25	𝑋	𝑋	PROPN
easat-5993	229	26	denotes	denote	VERB
easat-5993	229	27	the	the	DET
easat-5993	229	28	representation	representation	NOUN
easat-5993	229	29	of	of	ADP
easat-5993	229	30	the	the	DET
easat-5993	229	31	wolf	wolf	NOUN
easat-5993	229	32	,	,	PUNCT
easat-5993	229	33	while	while	SCONJ
easat-5993	229	34	the	the	DET
easat-5993	229	35	symbol	symbol	NOUN
easat-5993	229	36	𝑡	𝑡	PROPN
easat-5993	229	37	represents	represent	VERB
easat-5993	229	38	the	the	DET
easat-5993	229	39	iteration	iteration	NOUN
easat-5993	229	40	.	.	PUNCT
easat-5993	230	1	additionally	additionally	ADV
easat-5993	230	2	,	,	PUNCT
easat-5993	230	3	𝑋𝑝	𝑋𝑝	PROPN
easat-5993	230	4	signifies	signify	VERB
easat-5993	230	5	the	the	DET
easat-5993	230	6	location	location	NOUN
easat-5993	230	7	of	of	ADP
easat-5993	230	8	the	the	DET
easat-5993	230	9	moving	move	VERB
easat-5993	230	10	target	target	NOUN
easat-5993	230	11	.	.	PUNCT
easat-5993	231	1	the	the	DET
easat-5993	231	2	symbols	symbols	PROPN
easat-5993	231	3	𝐴	𝐴	PROPN
easat-5993	231	4	and	and	CCONJ
easat-5993	231	5	𝐶	𝐶	PROPN
easat-5993	231	6	are	be	AUX
easat-5993	231	7	provided	provide	VERB
easat-5993	231	8	in	in	ADP
easat-5993	231	9	equations	equation	NOUN
easat-5993	231	10	(	(	PUNCT
easat-5993	231	11	4	4	NUM
easat-5993	231	12	)	)	PUNCT
easat-5993	231	13	and	and	CCONJ
easat-5993	231	14	(	(	PUNCT
easat-5993	231	15	5	5	NUM
easat-5993	231	16	)	)	PUNCT
easat-5993	231	17	as	as	SCONJ
easat-5993	231	18	follows	follow	VERB
easat-5993	231	19	.	.	PUNCT
easat-5993	232	1	the	the	DET
easat-5993	232	2	global	global	ADJ
easat-5993	232	3	wolf	wolf	PROPN
easat-5993	232	4	organization	organization	NOUN
easat-5993	232	5	(	(	PUNCT
easat-5993	232	6	gwo	gwo	PROPN
easat-5993	232	7	)	)	PUNCT
easat-5993	232	8	has	have	AUX
easat-5993	232	9	developed	develop	VERB
easat-5993	232	10	many	many	ADJ
easat-5993	232	11	wolf	wolf	ADJ
easat-5993	232	12	specimens	specimen	NOUN
easat-5993	232	13	tasked	task	VERB
easat-5993	232	14	with	with	ADP
easat-5993	232	15	conducting	conduct	VERB
easat-5993	232	16	targeted	target	VERB
easat-5993	232	17	searches	search	NOUN
easat-5993	232	18	inside	inside	ADP
easat-5993	232	19	their	their	PRON
easat-5993	232	20	territories	territory	NOUN
easat-5993	232	21	.	.	PUNCT
easat-5993	233	1	the	the	DET
easat-5993	233	2	wolves	wolf	NOUN
easat-5993	233	3	were	be	AUX
easat-5993	233	4	assigned	assign	VERB
easat-5993	233	5	a	a	DET
easat-5993	233	6	specific	specific	ADJ
easat-5993	233	7	region	region	NOUN
easat-5993	233	8	within	within	ADP
easat-5993	233	9	which	which	PRON
easat-5993	233	10	they	they	PRON
easat-5993	233	11	386	386	NUM
easat-5993	233	12	edelweiss	edelweiss	PROPN
easat-5993	233	13	applied	apply	VERB
easat-5993	233	14	science	science	NOUN
easat-5993	233	15	and	and	CCONJ
easat-5993	233	16	technology	technology	NOUN
easat-5993	233	17	issn	issn	PROPN
easat-5993	233	18	:	:	PUNCT
easat-5993	233	19	2576	2576	NUM
easat-5993	233	20	-	-	SYM
easat-5993	233	21	8484	8484	NUM
easat-5993	233	22	vol	vol	NOUN
easat-5993	233	23	.	.	PROPN
easat-5993	234	1	9	9	NUM
easat-5993	234	2	,	,	PUNCT
easat-5993	234	3	no	no	INTJ
easat-5993	234	4	.	.	NOUN
easat-5993	234	5	4	4	NUM
easat-5993	234	6	:	:	PUNCT
easat-5993	234	7	379	379	NUM
easat-5993	234	8	-	-	SYM
easat-5993	234	9	394	394	NUM
easat-5993	234	10	,	,	PUNCT
easat-5993	234	11	2025	2025	NUM
easat-5993	234	12	doi	doi	NOUN
easat-5993	234	13	:	:	PUNCT
easat-5993	234	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	234	15	©	©	ADP
easat-5993	234	16	2025	2025	NUM
easat-5993	234	17	by	by	ADP
easat-5993	234	18	the	the	DET
easat-5993	234	19	authors	author	NOUN
easat-5993	234	20	;	;	PUNCT
easat-5993	234	21	licensee	licensee	PROPN
easat-5993	234	22	learning	learning	NOUN
easat-5993	234	23	gate	gate	NOUN
easat-5993	234	24	were	be	AUX
easat-5993	234	25	required	require	VERB
easat-5993	234	26	to	to	PART
easat-5993	234	27	locate	locate	VERB
easat-5993	234	28	the	the	DET
easat-5993	234	29	target	target	NOUN
easat-5993	234	30	.	.	PUNCT
easat-5993	235	1	the	the	DET
easat-5993	235	2	movement	movement	NOUN
easat-5993	235	3	occurs	occur	VERB
easat-5993	235	4	when	when	SCONJ
easat-5993	235	5	the	the	DET
easat-5993	235	6	values	value	NOUN
easat-5993	235	7	of	of	ADP
easat-5993	235	8	𝑗	𝑗	PROPN
easat-5993	235	9	and	and	CCONJ
easat-5993	235	10	𝑘	𝑘	PRON
easat-5993	235	11	increase	increase	NOUN
easat-5993	235	12	.	.	PUNCT
easat-5993	236	1	the	the	DET
easat-5993	236	2	observed	observe	VERB
easat-5993	236	3	value	value	NOUN
easat-5993	236	4	of	of	ADP
easat-5993	236	5	𝐿	𝐿	PROPN
easat-5993	236	6	exhibited	exhibit	VERB
easat-5993	236	7	increased	increase	VERB
easat-5993	236	8	as	as	SCONJ
easat-5993	236	9	the	the	DET
easat-5993	236	10	candidate	candidate	NOUN
easat-5993	236	11	wolf	wolf	PROPN
easat-5993	236	12	approached	approach	VERB
easat-5993	236	13	the	the	DET
easat-5993	236	14	objective	objective	NOUN
easat-5993	236	15	.	.	PUNCT
easat-5993	237	1	the	the	DET
easat-5993	237	2	vectors	vector	NOUN
easat-5993	237	3	𝑟	𝑟	X
easat-5993	237	4	and	and	CCONJ
easat-5993	237	5	𝑟2⃗⃗	𝑟2⃗⃗	PROPN
easat-5993	237	6	⃗	⃗	PROPN
easat-5993	237	7	denote	denote	VERB
easat-5993	237	8	the	the	DET
easat-5993	237	9	directional	directional	ADJ
easat-5993	237	10	movement	movement	NOUN
easat-5993	237	11	of	of	ADP
easat-5993	237	12	the	the	DET
easat-5993	237	13	wolf	wolf	NOUN
easat-5993	237	14	in	in	ADP
easat-5993	237	15	pursuit	pursuit	NOUN
easat-5993	237	16	of	of	ADP
easat-5993	237	17	prey	prey	NOUN
easat-5993	237	18	,	,	PUNCT
easat-5993	237	19	optimizing	optimize	VERB
easat-5993	237	20	the	the	DET
easat-5993	237	21	fitness	fitness	NOUN
easat-5993	237	22	function	function	NOUN
easat-5993	237	23	.	.	PUNCT
easat-5993	238	1	the	the	DET
easat-5993	238	2	simulation	simulation	NOUN
easat-5993	238	3	included	include	VERB
easat-5993	238	4	the	the	DET
easat-5993	238	5	manipulation	manipulation	NOUN
easat-5993	238	6	of	of	ADP
easat-5993	238	7	parameters	parameter	NOUN
easat-5993	238	8	to	to	PART
easat-5993	238	9	imitate	imitate	VERB
easat-5993	238	10	the	the	DET
easat-5993	238	11	act	act	NOUN
easat-5993	238	12	of	of	ADP
easat-5993	238	13	attacking	attack	VERB
easat-5993	238	14	prey	prey	NOUN
easat-5993	238	15	.	.	PUNCT
easat-5993	239	1	the	the	DET
easat-5993	239	2	components	component	NOUN
easat-5993	239	3	of	of	ADP
easat-5993	239	4	a	a	PRON
easat-5993	239	5	were	be	AUX
easat-5993	239	6	systematically	systematically	ADV
easat-5993	239	7	decreased	decrease	VERB
easat-5993	239	8	linearly	linearly	ADV
easat-5993	239	9	from	from	ADP
easat-5993	239	10	a	a	DET
easat-5993	239	11	value	value	NOUN
easat-5993	239	12	of	of	ADP
easat-5993	239	13	two	two	NUM
easat-5993	239	14	to	to	ADP
easat-5993	239	15	zero	zero	NUM
easat-5993	239	16	throughout	throughout	ADP
easat-5993	239	17	several	several	ADJ
easat-5993	239	18	repetitions	repetition	NOUN
easat-5993	239	19	.	.	PUNCT
easat-5993	240	1	the	the	DET
easat-5993	240	2	parameters	parameter	NOUN
easat-5993	240	3	as	as	SCONJ
easat-5993	240	4	mentioned	mention	VERB
easat-5993	240	5	earlier	early	ADV
easat-5993	240	6	,	,	PUNCT
easat-5993	240	7	were	be	AUX
easat-5993	240	8	then	then	ADV
easat-5993	240	9	used	use	VERB
easat-5993	240	10	in	in	ADP
easat-5993	240	11	the	the	DET
easat-5993	240	12	computation	computation	NOUN
easat-5993	240	13	of	of	ADP
easat-5993	240	14	the	the	DET
easat-5993	240	15	peak	peak	NOUN
easat-5993	240	16	signalto	signalto	NOUN
easat-5993	240	17	-	-	PUNCT
easat-5993	240	18	noise	noise	NOUN
easat-5993	240	19	ratio	ratio	NOUN
easat-5993	240	20	(	(	PUNCT
easat-5993	240	21	psnr	psnr	NOUN
easat-5993	240	22	)	)	PUNCT
easat-5993	240	23	value	value	NOUN
easat-5993	240	24	,	,	PUNCT
easat-5993	240	25	utilizing	utilize	VERB
easat-5993	240	26	the	the	DET
easat-5993	240	27	most	most	ADV
easat-5993	240	28	optimal	optimal	ADJ
easat-5993	240	29	method	method	NOUN
easat-5993	240	30	for	for	ADP
easat-5993	240	31	target	target	NOUN
easat-5993	240	32	identification	identification	NOUN
easat-5993	240	33	.	.	PUNCT
easat-5993	241	1	𝐴	𝐴	NOUN
easat-5993	241	2	=	=	PUNCT
easat-5993	241	3	2𝑎	2𝑎	NUM
easat-5993	241	4	.	.	PUNCT
easat-5993	242	1	𝑟	𝑟	X
easat-5993	242	2	−	−	NOUN
easat-5993	242	3	𝑎	𝑎	X
easat-5993	242	4	(	(	PUNCT
easat-5993	242	5	4	4	NUM
easat-5993	242	6	)	)	PUNCT
easat-5993	242	7	𝐶	𝐶	NOUN
easat-5993	242	8	=	=	SYM
easat-5993	242	9	2𝑟2⃗⃗	2𝑟2⃗⃗	PROPN
easat-5993	242	10	⃗	⃗	PROPN
easat-5993	242	11	(	(	PUNCT
easat-5993	242	12	5	5	NUM
easat-5993	242	13	)	)	PUNCT
easat-5993	242	14	subsequently	subsequently	ADV
easat-5993	242	15	,	,	PUNCT
easat-5993	242	16	the	the	DET
easat-5993	242	17	psnr	psnr	NOUN
easat-5993	242	18	was	be	AUX
easat-5993	242	19	calculated	calculate	VERB
easat-5993	242	20	employing	employ	VERB
easat-5993	242	21	the	the	DET
easat-5993	242	22	mean	mean	ADJ
easat-5993	242	23	squared	square	VERB
easat-5993	242	24	error	error	NOUN
easat-5993	242	25	(	(	PUNCT
easat-5993	242	26	mse	mse	NOUN
easat-5993	242	27	)	)	PUNCT
easat-5993	242	28	,	,	PUNCT
easat-5993	242	29	with	with	ADP
easat-5993	242	30	the	the	DET
easat-5993	242	31	formulae	formulae	NOUN
easat-5993	242	32	below	below	ADV
easat-5993	242	33	:	:	PUNCT
easat-5993	242	34	𝑀𝑆𝐸	𝑀𝑆𝐸	PROPN
easat-5993	242	35	=	=	SYM
easat-5993	242	36	1	1	NUM
easat-5993	242	37	𝑀×𝑁	𝑀×𝑁	VERB
easat-5993	242	38	∑	∑	PUNCT
easat-5993	242	39	𝑀𝑖=1	𝑀𝑖=1	PROPN
easat-5993	242	40	∑	∑	PROPN
easat-5993	242	41	𝑁(𝐼(𝑖	𝑁(𝐼(𝑖	NOUN
easat-5993	242	42	,	,	PUNCT
easat-5993	242	43	𝑗	𝑗	NOUN
easat-5993	242	44	)	)	PUNCT
easat-5993	242	45	−	−	NOUN
easat-5993	243	1	𝐽(𝑗	𝐽(𝑗	NUM
easat-5993	243	2	,	,	PUNCT
easat-5993	243	3	𝑖))2)𝑗=1	𝑖))2)𝑗=1	NUM
easat-5993	243	4	(	(	PUNCT
easat-5993	243	5	6	6	NUM
easat-5993	243	6	)	)	PUNCT
easat-5993	243	7	𝑃𝑆𝑁𝑅	𝑃𝑆𝑁𝑅	NOUN
easat-5993	243	8	=	=	SYM
easat-5993	243	9	10log10	10log10	NUM
easat-5993	243	10	(	(	PUNCT
easat-5993	243	11	𝑀𝐴𝑋𝑖	𝑀𝐴𝑋𝑖	NOUN
easat-5993	243	12	2	2	NUM
easat-5993	243	13	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
easat-5993	243	14	)	)	PUNCT
easat-5993	243	15	(	(	PUNCT
easat-5993	243	16	7	7	X
easat-5993	243	17	)	)	PUNCT
easat-5993	243	18	equations	equation	NOUN
easat-5993	243	19	(	(	PUNCT
easat-5993	243	20	6	6	NUM
easat-5993	243	21	)	)	PUNCT
easat-5993	243	22	and	and	CCONJ
easat-5993	243	23	(	(	PUNCT
easat-5993	243	24	7	7	X
easat-5993	243	25	)	)	PUNCT
easat-5993	243	26	include	include	VERB
easat-5993	243	27	the	the	DET
easat-5993	243	28	variables	variable	NOUN
easat-5993	243	29	𝐼	𝐼	PROPN
easat-5993	243	30	,	,	PUNCT
easat-5993	243	31	𝐽	𝐽	PROPN
easat-5993	243	32	,	,	PUNCT
easat-5993	243	33	m	m	PROPN
easat-5993	243	34	,	,	PUNCT
easat-5993	243	35	and	and	CCONJ
easat-5993	243	36	n	n	CCONJ
easat-5993	243	37	,	,	PUNCT
easat-5993	243	38	which	which	PRON
easat-5993	243	39	represent	represent	VERB
easat-5993	243	40	the	the	DET
easat-5993	243	41	original	original	ADJ
easat-5993	243	42	picture	picture	NOUN
easat-5993	243	43	,	,	PUNCT
easat-5993	243	44	the	the	DET
easat-5993	243	45	noisy	noisy	ADJ
easat-5993	243	46	image	image	NOUN
easat-5993	243	47	,	,	PUNCT
easat-5993	243	48	and	and	CCONJ
easat-5993	243	49	the	the	DET
easat-5993	243	50	dimensions	dimension	NOUN
easat-5993	243	51	of	of	ADP
easat-5993	243	52	the	the	DET
easat-5993	243	53	image	image	NOUN
easat-5993	243	54	,	,	PUNCT
easat-5993	243	55	respectively	respectively	ADV
easat-5993	243	56	.	.	PUNCT
easat-5993	244	1	in	in	ADP
easat-5993	244	2	equation	equation	NOUN
easat-5993	244	3	(	(	PUNCT
easat-5993	244	4	3	3	NUM
easat-5993	244	5	)	)	PUNCT
easat-5993	244	6	,	,	PUNCT
easat-5993	244	7	the	the	DET
easat-5993	244	8	symbol	symbol	NOUN
easat-5993	244	9	𝑀𝐴𝑋𝑖	𝑀𝐴𝑋𝑖	PROPN
easat-5993	244	10	denotes	denote	VERB
easat-5993	244	11	the	the	DET
easat-5993	244	12	maximum	maximum	ADJ
easat-5993	244	13	pixel	pixel	PROPN
easat-5993	244	14	value	value	NOUN
easat-5993	244	15	.	.	PUNCT
easat-5993	245	1	the	the	DET
easat-5993	245	2	wolf	wolf	PROPN
easat-5993	245	3	location	location	NOUN
easat-5993	245	4	was	be	AUX
easat-5993	245	5	established	establish	VERB
easat-5993	245	6	and	and	CCONJ
easat-5993	245	7	then	then	ADV
easat-5993	245	8	adjusted	adjust	VERB
easat-5993	245	9	by	by	ADP
easat-5993	245	10	identifying	identify	VERB
easat-5993	245	11	the	the	DET
easat-5993	245	12	highest	high	ADJ
easat-5993	245	13	psnr	psnr	NOUN
easat-5993	245	14	value	value	NOUN
easat-5993	245	15	during	during	ADP
easat-5993	245	16	the	the	DET
easat-5993	245	17	iteration	iteration	NOUN
easat-5993	245	18	.	.	PUNCT
easat-5993	246	1	this	this	DET
easat-5993	246	2	process	process	NOUN
easat-5993	246	3	finally	finally	ADV
easat-5993	246	4	facilitated	facilitate	VERB
easat-5993	246	5	the	the	DET
easat-5993	246	6	localization	localization	NOUN
easat-5993	246	7	of	of	ADP
easat-5993	246	8	potential	potential	ADJ
easat-5993	246	9	nodules	nodule	NOUN
easat-5993	246	10	.	.	PUNCT
easat-5993	247	1	the	the	DET
easat-5993	247	2	procedure	procedure	NOUN
easat-5993	247	3	was	be	AUX
easat-5993	247	4	iteratively	iteratively	ADV
easat-5993	247	5	executed	execute	VERB
easat-5993	247	6	until	until	SCONJ
easat-5993	247	7	the	the	DET
easat-5993	247	8	optimal	optimal	ADJ
easat-5993	247	9	location	location	NOUN
easat-5993	247	10	of	of	ADP
easat-5993	247	11	the	the	DET
easat-5993	247	12	wolf	wolf	NOUN
easat-5993	247	13	was	be	AUX
easat-5993	247	14	attained	attain	VERB
easat-5993	247	15	across	across	ADP
easat-5993	247	16	all	all	DET
easat-5993	247	17	initial	initial	ADJ
easat-5993	247	18	populations	population	NOUN
easat-5993	247	19	of	of	ADP
easat-5993	247	20	wolves	wolf	NOUN
easat-5993	247	21	.	.	PUNCT
easat-5993	248	1	source	source	NOUN
easat-5993	248	2	:	:	PUNCT
easat-5993	248	3	hu	hu	PROPN
easat-5993	248	4	,	,	PUNCT
easat-5993	248	5	et	et	PROPN
easat-5993	248	6	al	al	PROPN
easat-5993	248	7	.	.	PUNCT
easat-5993	249	1	[	[	X
easat-5993	249	2	47	47	NUM
easat-5993	249	3	]	]	PUNCT
easat-5993	249	4	.	.	PUNCT
easat-5993	250	1	algorithm	algorithm	PROPN
easat-5993	250	2	1	1	NUM
easat-5993	250	3	.	.	PUNCT
easat-5993	250	4	traditional	traditional	ADJ
easat-5993	250	5	grey	grey	ADJ
easat-5993	250	6	wolf	wolf	PROPN
easat-5993	250	7	optimizer	optimizer	NOUN
easat-5993	250	8	start	start	VERB
easat-5993	250	9	step	step	NOUN
easat-5993	250	10	1	1	NUM
easat-5993	250	11	:	:	PUNCT
easat-5993	250	12	initiate	initiate	VERB
easat-5993	250	13	the	the	DET
easat-5993	250	14	parameters	parameter	NOUN
easat-5993	250	15	maximum	maximum	ADJ
easat-5993	250	16	number	number	NOUN
easat-5993	250	17	of	of	ADP
easat-5993	250	18	iterations	iteration	NOUN
easat-5993	250	19	,	,	PUNCT
easat-5993	250	20	population	population	NOUN
easat-5993	250	21	size	size	NOUN
easat-5993	250	22	,	,	PUNCT
easat-5993	250	23	dimension	dimension	NOUN
easat-5993	250	24	,	,	PUNCT
easat-5993	250	25	higher	higher	ADV
easat-5993	250	26	bound	bind	VERB
easat-5993	250	27	and	and	CCONJ
easat-5993	250	28	lower	low	ADJ
easat-5993	250	29	bound	bind	VERB
easat-5993	250	30	;	;	PUNCT
easat-5993	250	31	step	step	NOUN
easat-5993	250	32	2	2	NUM
easat-5993	250	33	:	:	PUNCT
easat-5993	250	34	choose	choose	VERB
easat-5993	250	35	the	the	DET
easat-5993	250	36	starting	starting	NOUN
easat-5993	250	37	locations	location	NOUN
easat-5993	250	38	of	of	ADP
easat-5993	250	39	grey	grey	ADJ
easat-5993	250	40	wolves	wolf	NOUN
easat-5993	250	41	with	with	ADP
easat-5993	250	42	higher	high	ADJ
easat-5993	250	43	bound	bind	VERB
easat-5993	250	44	and	and	CCONJ
easat-5993	250	45	lower	low	ADJ
easat-5993	250	46	bound	bind	VERB
easat-5993	250	47	;	;	PUNCT
easat-5993	250	48	step	step	NOUN
easat-5993	250	49	3	3	NUM
easat-5993	250	50	:	:	PUNCT
easat-5993	250	51	initiate	initiate	VERB
easat-5993	250	52	x	x	PUNCT
easat-5993	250	53	⃗⃗⃗	⃗⃗⃗	NOUN
easat-5993	250	54	1	1	NUM
easat-5993	250	55	,	,	PUNCT
easat-5993	250	56	x	x	X
easat-5993	250	57	⃗⃗⃗	⃗⃗⃗	NOUN
easat-5993	250	58	2	2	NUM
easat-5993	250	59	,	,	PUNCT
easat-5993	250	60	x	x	X
easat-5993	250	61	⃗⃗⃗	⃗⃗⃗	NOUN
easat-5993	250	62	3	3	NUM
easat-5993	250	63	;	;	PUNCT
easat-5993	250	64	step	step	NOUN
easat-5993	250	65	4	4	NUM
easat-5993	250	66	:	:	PUNCT
easat-5993	250	67	determine	determine	VERB
easat-5993	250	68	each	each	DET
easat-5993	250	69	grey	grey	ADJ
easat-5993	250	70	wolf	wolf	NOUN
easat-5993	250	71	's	's	PART
easat-5993	250	72	fitness	fitness	NOUN
easat-5993	250	73	;	;	PUNCT
easat-5993	251	1	alpha	alpha	NOUN
easat-5993	251	2	=	=	PUNCT
easat-5993	251	3	highest	high	ADJ
easat-5993	251	4	fitness	fitness	NOUN
easat-5993	251	5	grey	grey	PROPN
easat-5993	251	6	wolf	wolf	PROPN
easat-5993	251	7	;	;	PUNCT
easat-5993	251	8	beta	beta	NOUN
easat-5993	251	9	=	=	SYM
easat-5993	251	10	second	second	ADV
easat-5993	251	11	highest	high	ADJ
easat-5993	251	12	fitness	fitness	NOUN
easat-5993	251	13	grey	grey	PROPN
easat-5993	251	14	wolf	wolf	PROPN
easat-5993	251	15	;	;	PUNCT
easat-5993	251	16	gamma	gamma	NOUN
easat-5993	251	17	=	=	SYM
easat-5993	251	18	third	third	ADV
easat-5993	251	19	highest	high	ADJ
easat-5993	251	20	fitness	fitness	NOUN
easat-5993	251	21	grey	grey	PROPN
easat-5993	251	22	wolf	wolf	PROPN
easat-5993	251	23	;	;	PUNCT
easat-5993	251	24	step	step	NOUN
easat-5993	251	25	5	5	NUM
easat-5993	251	26	:	:	PUNCT
easat-5993	251	27	while	while	SCONJ
easat-5993	251	28	c	c	PROPN
easat-5993	251	29	is	be	AUX
easat-5993	251	30	<	<	X
easat-5993	251	31	maximum	maximum	ADJ
easat-5993	251	32	number	number	NOUN
easat-5993	251	33	of	of	ADP
easat-5993	251	34	iterations	iteration	NOUN
easat-5993	251	35	for	for	ADP
easat-5993	251	36	i	i	PRON
easat-5993	251	37	=	=	NOUN
easat-5993	251	38	1	1	NUM
easat-5993	251	39	:	:	PUNCT
easat-5993	251	40	population	population	NOUN
easat-5993	251	41	size	size	NOUN
easat-5993	251	42	update	update	VERB
easat-5993	251	43	the	the	DET
easat-5993	251	44	present	present	ADJ
easat-5993	251	45	location	location	NOUN
easat-5993	251	46	of	of	ADP
easat-5993	251	47	the	the	DET
easat-5993	251	48	grey	grey	ADJ
easat-5993	251	49	wolf	wolf	NOUN
easat-5993	251	50	in	in	ADP
easat-5993	251	51	equation	equation	NOUN
easat-5993	251	52	9	9	NUM
easat-5993	251	53	above	above	ADV
easat-5993	251	54	for	for	ADP
easat-5993	251	55	traditional	traditional	ADJ
easat-5993	251	56	;	;	PUNCT
easat-5993	251	57	end	end	VERB
easat-5993	251	58	for	for	ADP
easat-5993	251	59	update	update	NOUN
easat-5993	251	60	x	x	PUNCT
easat-5993	251	61	⃗⃗⃗	⃗⃗⃗	NOUN
easat-5993	251	62	1	1	NUM
easat-5993	251	63	,	,	PUNCT
easat-5993	251	64	x	x	X
easat-5993	251	65	⃗⃗⃗	⃗⃗⃗	NOUN
easat-5993	251	66	2	2	NUM
easat-5993	251	67	,	,	PUNCT
easat-5993	251	68	x	x	X
easat-5993	251	69	⃗⃗⃗	⃗⃗⃗	NOUN
easat-5993	251	70	3	3	NUM
easat-5993	251	71	determine	determine	VERB
easat-5993	251	72	the	the	DET
easat-5993	251	73	best	good	ADJ
easat-5993	251	74	fitness	fitness	NOUN
easat-5993	251	75	of	of	ADP
easat-5993	251	76	the	the	DET
easat-5993	251	77	grey	grey	ADJ
easat-5993	251	78	wolves	wolf	NOUN
easat-5993	251	79	;	;	PUNCT
easat-5993	251	80	d	d	X
easat-5993	251	81	+	+	NOUN
easat-5993	251	82	=	=	SYM
easat-5993	251	83	d	d	PROPN
easat-5993	251	84	;	;	PUNCT
easat-5993	251	85	end	end	VERB
easat-5993	251	86	while	while	SCONJ
easat-5993	251	87	step	step	VERB
easat-5993	251	88	6	6	NUM
easat-5993	251	89	:	:	PUNCT
easat-5993	251	90	return	return	VERB
easat-5993	251	91	alpha	alpha	NOUN
easat-5993	251	92	;	;	PUNCT
easat-5993	251	93	end	end	VERB
easat-5993	251	94	387	387	NUM
easat-5993	251	95	edelweiss	edelweiss	PROPN
easat-5993	251	96	applied	apply	VERB
easat-5993	251	97	science	science	NOUN
easat-5993	251	98	and	and	CCONJ
easat-5993	251	99	technology	technology	NOUN
easat-5993	251	100	issn	issn	PROPN
easat-5993	251	101	:	:	PUNCT
easat-5993	251	102	2576	2576	NUM
easat-5993	251	103	-	-	SYM
easat-5993	251	104	8484	8484	NUM
easat-5993	251	105	vol	vol	NOUN
easat-5993	251	106	.	.	PROPN
easat-5993	252	1	9	9	NUM
easat-5993	252	2	,	,	PUNCT
easat-5993	252	3	no	no	INTJ
easat-5993	252	4	.	.	NOUN
easat-5993	252	5	4	4	NUM
easat-5993	252	6	:	:	PUNCT
easat-5993	252	7	379	379	NUM
easat-5993	252	8	-	-	SYM
easat-5993	252	9	394	394	NUM
easat-5993	252	10	,	,	PUNCT
easat-5993	252	11	2025	2025	NUM
easat-5993	252	12	doi	doi	NOUN
easat-5993	252	13	:	:	PUNCT
easat-5993	252	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	252	15	©	©	ADP
easat-5993	252	16	2025	2025	NUM
easat-5993	252	17	by	by	ADP
easat-5993	252	18	the	the	DET
easat-5993	252	19	authors	author	NOUN
easat-5993	252	20	;	;	PUNCT
easat-5993	252	21	licensee	licensee	PROPN
easat-5993	252	22	learning	learn	VERB
easat-5993	252	23	gate	gate	NOUN
easat-5993	252	24	3.2.4	3.2.4	NUM
easat-5993	252	25	.	.	PUNCT
easat-5993	253	1	proposed	propose	VERB
easat-5993	253	2	mgwo	mgwo	PROPN
easat-5993	253	3	-	-	PUNCT
easat-5993	253	4	cnn	cnn	PROPN
easat-5993	253	5	technique	technique	NOUN
easat-5993	253	6	this	this	DET
easat-5993	253	7	section	section	NOUN
easat-5993	253	8	provides	provide	VERB
easat-5993	253	9	an	an	DET
easat-5993	253	10	in	in	ADP
easat-5993	253	11	-	-	PUNCT
easat-5993	253	12	depth	depth	NOUN
easat-5993	253	13	overview	overview	NOUN
easat-5993	253	14	of	of	ADP
easat-5993	253	15	the	the	DET
easat-5993	253	16	method	method	NOUN
easat-5993	253	17	we	we	PRON
easat-5993	253	18	have	have	AUX
easat-5993	253	19	recommended	recommend	VERB
easat-5993	253	20	for	for	ADP
easat-5993	253	21	categorizing	categorize	VERB
easat-5993	253	22	chest	chest	NOUN
easat-5993	253	23	x	x	NOUN
easat-5993	253	24	-	-	NOUN
easat-5993	253	25	ray	ray	NOUN
easat-5993	253	26	pictures	picture	NOUN
easat-5993	253	27	,	,	PUNCT
easat-5993	253	28	referred	refer	VERB
easat-5993	253	29	to	to	ADP
easat-5993	253	30	as	as	ADP
easat-5993	253	31	the	the	DET
easat-5993	253	32	modified	modify	VERB
easat-5993	253	33	grey	grey	NOUN
easat-5993	253	34	wolf	wolf	PROPN
easat-5993	253	35	optimization	optimization	NOUN
easat-5993	253	36	convolutional	convolutional	ADJ
easat-5993	253	37	neural	neural	ADJ
easat-5993	253	38	network	network	NOUN
easat-5993	253	39	(	(	PUNCT
easat-5993	253	40	mgwo	mgwo	NOUN
easat-5993	253	41	-	-	PUNCT
easat-5993	253	42	cnn	cnn	PROPN
easat-5993	253	43	)	)	PUNCT
easat-5993	253	44	.	.	PUNCT
easat-5993	254	1	to	to	PART
easat-5993	254	2	provide	provide	VERB
easat-5993	254	3	more	more	ADJ
easat-5993	254	4	transparency	transparency	NOUN
easat-5993	254	5	,	,	PUNCT
easat-5993	254	6	the	the	DET
easat-5993	254	7	suggested	suggest	VERB
easat-5993	254	8	resolution	resolution	NOUN
easat-5993	254	9	has	have	AUX
easat-5993	254	10	been	be	AUX
easat-5993	254	11	broken	break	VERB
easat-5993	254	12	down	down	ADP
easat-5993	254	13	into	into	ADP
easat-5993	254	14	phases	phase	NOUN
easat-5993	254	15	as	as	SCONJ
easat-5993	254	16	follows	follow	VERB
easat-5993	254	17	:	:	PUNCT
easat-5993	254	18	(	(	PUNCT
easat-5993	254	19	1	1	X
easat-5993	254	20	)	)	PUNCT
easat-5993	254	21	to	to	PART
easat-5993	254	22	begin	begin	VERB
easat-5993	254	23	,	,	PUNCT
easat-5993	254	24	we	we	PRON
easat-5993	254	25	present	present	VERB
easat-5993	254	26	the	the	DET
easat-5993	254	27	mgwo	mgwo	NOUN
easat-5993	254	28	-	-	PUNCT
easat-5993	254	29	based	base	VERB
easat-5993	254	30	technique	technique	NOUN
easat-5993	254	31	,	,	PUNCT
easat-5993	254	32	more	more	ADV
easat-5993	254	33	precisely	precisely	ADV
easat-5993	254	34	the	the	DET
easat-5993	254	35	mgwo	mgwo	NOUN
easat-5993	254	36	technique	technique	NOUN
easat-5993	254	37	,	,	PUNCT
easat-5993	254	38	which	which	PRON
easat-5993	254	39	effectively	effectively	ADV
easat-5993	254	40	addressed	address	VERB
easat-5993	254	41	the	the	DET
easat-5993	254	42	problems	problem	NOUN
easat-5993	254	43	relating	relate	VERB
easat-5993	254	44	to	to	ADP
easat-5993	254	45	prior	prior	ADJ
easat-5993	254	46	image	image	NOUN
easat-5993	254	47	-	-	PUNCT
easat-5993	254	48	noise	noise	NOUN
easat-5993	254	49	reduction	reduction	NOUN
easat-5993	254	50	techniques	technique	NOUN
easat-5993	254	51	,	,	PUNCT
easat-5993	254	52	especially	especially	ADV
easat-5993	254	53	premature	premature	ADJ
easat-5993	254	54	convergence	convergence	NOUN
easat-5993	254	55	towards	towards	ADP
easat-5993	254	56	the	the	DET
easat-5993	254	57	local	local	ADJ
easat-5993	254	58	optimal	optimal	ADJ
easat-5993	254	59	result	result	NOUN
easat-5993	254	60	.	.	PUNCT
easat-5993	255	1	this	this	PRON
easat-5993	255	2	is	be	AUX
easat-5993	255	3	done	do	VERB
easat-5993	255	4	by	by	ADP
easat-5993	255	5	introducing	introduce	VERB
easat-5993	255	6	the	the	DET
easat-5993	255	7	mgwo	mgwo	NOUN
easat-5993	255	8	-	-	PUNCT
easat-5993	255	9	based	base	VERB
easat-5993	255	10	methodology	methodology	NOUN
easat-5993	255	11	.	.	PUNCT
easat-5993	256	1	(	(	PUNCT
easat-5993	256	2	2	2	X
easat-5993	256	3	)	)	PUNCT
easat-5993	256	4	following	follow	VERB
easat-5993	256	5	this	this	PRON
easat-5993	256	6	,	,	PUNCT
easat-5993	256	7	the	the	DET
easat-5993	256	8	mgwo	mgwo	NOUN
easat-5993	256	9	approach	approach	NOUN
easat-5993	256	10	was	be	AUX
easat-5993	256	11	implemented	implement	VERB
easat-5993	256	12	as	as	ADP
easat-5993	256	13	a	a	DET
easat-5993	256	14	filtering	filter	VERB
easat-5993	256	15	procedure	procedure	NOUN
easat-5993	256	16	to	to	PART
easat-5993	256	17	locate	locate	VERB
easat-5993	256	18	the	the	DET
easat-5993	256	19	subset	subset	NOUN
easat-5993	256	20	of	of	ADP
easat-5993	256	21	characteristics	characteristic	NOUN
easat-5993	256	22	that	that	PRON
easat-5993	256	23	proved	prove	VERB
easat-5993	256	24	the	the	DET
easat-5993	256	25	most	most	ADV
easat-5993	256	26	effective	effective	ADJ
easat-5993	256	27	in	in	ADP
easat-5993	256	28	identifying	identify	VERB
easat-5993	256	29	covid-19	covid-19	PROPN
easat-5993	256	30	utilizing	utilize	VERB
easat-5993	256	31	chest	chest	NOUN
easat-5993	256	32	x	x	NOUN
easat-5993	256	33	-	-	NOUN
easat-5993	256	34	ray	ray	NOUN
easat-5993	256	35	images	image	NOUN
easat-5993	256	36	.	.	PUNCT
easat-5993	257	1	the	the	DET
easat-5993	257	2	mgwo	mgwo	NOUN
easat-5993	257	3	technique	technique	NOUN
easat-5993	257	4	,	,	PUNCT
easat-5993	257	5	as	as	SCONJ
easat-5993	257	6	stated	state	VERB
easat-5993	257	7	by	by	ADP
easat-5993	257	8	cnn	cnn	PROPN
easat-5993	257	9	,	,	PUNCT
easat-5993	257	10	was	be	AUX
easat-5993	257	11	established	establish	VERB
easat-5993	257	12	to	to	PART
easat-5993	257	13	examine	examine	VERB
easat-5993	257	14	the	the	DET
easat-5993	257	15	best	well	ADV
easat-5993	257	16	practicable	practicable	ADJ
easat-5993	257	17	set	set	NOUN
easat-5993	257	18	of	of	ADP
easat-5993	257	19	features	feature	NOUN
easat-5993	257	20	to	to	PART
easat-5993	257	21	optimize	optimize	VERB
easat-5993	257	22	the	the	DET
easat-5993	257	23	classification	classification	NOUN
easat-5993	257	24	efficacy	efficacy	NOUN
easat-5993	257	25	of	of	ADP
easat-5993	257	26	the	the	DET
easat-5993	257	27	cnn	cnn	PROPN
easat-5993	257	28	classifier	classifier	NOUN
easat-5993	257	29	.	.	PUNCT
easat-5993	258	1	this	this	DET
easat-5993	258	2	evaluation	evaluation	NOUN
easat-5993	258	3	aimed	aim	VERB
easat-5993	258	4	to	to	PART
easat-5993	258	5	determine	determine	VERB
easat-5993	258	6	which	which	DET
easat-5993	258	7	set	set	NOUN
easat-5993	258	8	of	of	ADP
easat-5993	258	9	features	feature	NOUN
easat-5993	258	10	would	would	AUX
easat-5993	258	11	prove	prove	VERB
easat-5993	258	12	best	well	ADV
easat-5993	258	13	performing	performing	NOUN
easat-5993	258	14	.	.	PUNCT
easat-5993	259	1	to	to	PART
easat-5993	259	2	train	train	VERB
easat-5993	259	3	the	the	DET
easat-5993	259	4	convolutional	convolutional	ADJ
easat-5993	259	5	neural	neural	ADJ
easat-5993	259	6	network	network	NOUN
easat-5993	259	7	(	(	PUNCT
easat-5993	259	8	cnn	cnn	PROPN
easat-5993	259	9	)	)	PUNCT
easat-5993	259	10	classifier	classifier	NOUN
easat-5993	259	11	,	,	PUNCT
easat-5993	259	12	an	an	DET
easat-5993	259	13	optimum	optimum	ADJ
easat-5993	259	14	subset	subset	NOUN
easat-5993	259	15	of	of	ADP
easat-5993	259	16	features	feature	NOUN
easat-5993	259	17	was	be	AUX
easat-5993	259	18	found	find	VERB
easat-5993	259	19	by	by	ADP
easat-5993	259	20	using	use	VERB
easat-5993	259	21	the	the	DET
easat-5993	259	22	multi	multi	ADJ
easat-5993	259	23	-	-	ADJ
easat-5993	259	24	objective	objective	ADJ
easat-5993	259	25	grey	grey	NOUN
easat-5993	259	26	wolf	wolf	PROPN
easat-5993	259	27	optimizer	optimizer	NOUN
easat-5993	259	28	(	(	PUNCT
easat-5993	259	29	mgwo	mgwo	NOUN
easat-5993	259	30	)	)	PUNCT
easat-5993	259	31	method	method	NOUN
easat-5993	259	32	.	.	PUNCT
easat-5993	260	1	these	these	DET
easat-5993	260	2	features	feature	NOUN
easat-5993	260	3	were	be	AUX
easat-5993	260	4	used	use	VERB
easat-5993	260	5	in	in	ADP
easat-5993	260	6	the	the	DET
easat-5993	260	7	training	training	NOUN
easat-5993	260	8	process	process	NOUN
easat-5993	260	9	.	.	PUNCT
easat-5993	261	1	388	388	NUM
easat-5993	261	2	edelweiss	edelweiss	PROPN
easat-5993	261	3	applied	apply	VERB
easat-5993	261	4	science	science	NOUN
easat-5993	261	5	and	and	CCONJ
easat-5993	261	6	technology	technology	NOUN
easat-5993	261	7	issn	issn	PROPN
easat-5993	261	8	:	:	PUNCT
easat-5993	261	9	2576	2576	NUM
easat-5993	261	10	-	-	SYM
easat-5993	261	11	8484	8484	NUM
easat-5993	261	12	vol	vol	NOUN
easat-5993	261	13	.	.	PROPN
easat-5993	262	1	9	9	NUM
easat-5993	262	2	,	,	PUNCT
easat-5993	262	3	no	no	INTJ
easat-5993	262	4	.	.	NOUN
easat-5993	262	5	4	4	NUM
easat-5993	262	6	:	:	PUNCT
easat-5993	262	7	379	379	NUM
easat-5993	262	8	-	-	SYM
easat-5993	262	9	394	394	NUM
easat-5993	262	10	,	,	PUNCT
easat-5993	262	11	2025	2025	NUM
easat-5993	262	12	doi	doi	NOUN
easat-5993	262	13	:	:	PUNCT
easat-5993	262	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	262	15	©	©	ADP
easat-5993	262	16	2025	2025	NUM
easat-5993	262	17	by	by	ADP
easat-5993	262	18	the	the	DET
easat-5993	262	19	authors	author	NOUN
easat-5993	262	20	;	;	PUNCT
easat-5993	262	21	licensee	licensee	PROPN
easat-5993	262	22	learning	learning	NOUN
easat-5993	262	23	gate	gate	VERB
easat-5993	262	24	3.3	3.3	NUM
easat-5993	262	25	.	.	PUNCT
easat-5993	263	1	preprocessing	preprocesse	VERB
easat-5993	263	2	stage	stage	NOUN
easat-5993	263	3	the	the	DET
easat-5993	263	4	first	first	ADJ
easat-5993	263	5	step	step	NOUN
easat-5993	263	6	included	include	VERB
easat-5993	263	7	using	use	VERB
easat-5993	263	8	gabor	gabor	NOUN
easat-5993	263	9	filters	filter	NOUN
easat-5993	263	10	for	for	ADP
easat-5993	263	11	fe	fe	NOUN
easat-5993	263	12	on	on	ADP
easat-5993	263	13	the	the	DET
easat-5993	263	14	chest	chest	NOUN
easat-5993	263	15	x	x	NOUN
easat-5993	263	16	-	-	NOUN
easat-5993	263	17	ray	ray	NOUN
easat-5993	263	18	images	image	NOUN
easat-5993	263	19	.	.	PUNCT
easat-5993	264	1	this	this	PRON
easat-5993	264	2	was	be	AUX
easat-5993	264	3	followed	follow	VERB
easat-5993	264	4	by	by	ADP
easat-5993	264	5	implementing	implement	VERB
easat-5993	264	6	adaptive	adaptive	ADJ
easat-5993	264	7	filtering	filtering	NOUN
easat-5993	264	8	utilizing	utilize	VERB
easat-5993	264	9	the	the	DET
easat-5993	264	10	mgwo	mgwo	NOUN
easat-5993	264	11	approach	approach	NOUN
easat-5993	264	12	.	.	PUNCT
easat-5993	265	1	the	the	DET
easat-5993	265	2	mgwo	mgwo	ADJ
easat-5993	265	3	methodology	methodology	NOUN
easat-5993	265	4	is	be	AUX
easat-5993	265	5	a	a	DET
easat-5993	265	6	natureinspired	natureinspired	ADJ
easat-5993	265	7	technique	technique	NOUN
easat-5993	265	8	that	that	PRON
easat-5993	265	9	aims	aim	VERB
easat-5993	265	10	to	to	PART
easat-5993	265	11	identify	identify	VERB
easat-5993	265	12	the	the	DET
easat-5993	265	13	most	most	ADV
easat-5993	265	14	efficient	efficient	ADJ
easat-5993	265	15	means	mean	NOUN
easat-5993	265	16	of	of	ADP
easat-5993	265	17	achieving	achieve	VERB
easat-5993	265	18	the	the	DET
easat-5993	265	19	desired	desire	VERB
easat-5993	265	20	objective	objective	NOUN
easat-5993	265	21	.	.	PUNCT
easat-5993	266	1	to	to	PART
easat-5993	266	2	achieve	achieve	VERB
easat-5993	266	3	precise	precise	ADJ
easat-5993	266	4	goals	goal	NOUN
easat-5993	266	5	within	within	ADP
easat-5993	266	6	our	our	PRON
easat-5993	266	7	scans	scan	NOUN
easat-5993	266	8	or	or	CCONJ
easat-5993	266	9	dataset	dataset	NOUN
easat-5993	266	10	,	,	PUNCT
easat-5993	266	11	the	the	DET
easat-5993	266	12	mgwo	mgwo	NOUN
easat-5993	266	13	was	be	AUX
easat-5993	266	14	used	use	VERB
easat-5993	266	15	.	.	PUNCT
easat-5993	267	1	there	there	PRON
easat-5993	267	2	are	be	VERB
easat-5993	267	3	3,617	3,617	NUM
easat-5993	267	4	photos	photo	NOUN
easat-5993	267	5	related	relate	VERB
easat-5993	267	6	to	to	ADP
easat-5993	267	7	the	the	DET
easat-5993	267	8	covid-19	covid-19	PROPN
easat-5993	267	9	virus	virus	NOUN
easat-5993	267	10	and	and	CCONJ
easat-5993	267	11	10,141	10,141	NUM
easat-5993	267	12	photographs	photograph	NOUN
easat-5993	267	13	classified	classify	VERB
easat-5993	267	14	as	as	ADP
easat-5993	267	15	usual	usual	ADJ
easat-5993	267	16	.	.	PUNCT
easat-5993	268	1	the	the	DET
easat-5993	268	2	dataset	dataset	NOUN
easat-5993	268	3	was	be	AUX
easat-5993	268	4	partitioned	partition	VERB
easat-5993	268	5	into	into	ADP
easat-5993	268	6	two	two	NUM
easat-5993	268	7	subsets	subset	NOUN
easat-5993	268	8	,	,	PUNCT
easat-5993	268	9	namely	namely	ADV
easat-5993	268	10	the	the	DET
easat-5993	268	11	training	training	NOUN
easat-5993	268	12	set	set	NOUN
easat-5993	268	13	and	and	CCONJ
easat-5993	268	14	the	the	DET
easat-5993	268	15	testing	testing	NOUN
easat-5993	268	16	set	set	NOUN
easat-5993	268	17	,	,	PUNCT
easat-5993	268	18	with	with	ADP
easat-5993	268	19	a	a	DET
easat-5993	268	20	ratio	ratio	NOUN
easat-5993	268	21	of	of	ADP
easat-5993	268	22	80:20	80:20	NUM
easat-5993	268	23	.	.	PUNCT
easat-5993	269	1	the	the	DET
easat-5993	269	2	dataset	dataset	NOUN
easat-5993	269	3	was	be	AUX
easat-5993	269	4	divided	divide	VERB
easat-5993	269	5	into	into	ADP
easat-5993	269	6	two	two	NUM
easat-5993	269	7	halves	half	NOUN
easat-5993	269	8	,	,	PUNCT
easat-5993	269	9	with	with	ADP
easat-5993	269	10	80	80	NUM
easat-5993	269	11	%	%	NOUN
easat-5993	269	12	of	of	ADP
easat-5993	269	13	the	the	DET
easat-5993	269	14	data	datum	NOUN
easat-5993	269	15	allocated	allocate	VERB
easat-5993	269	16	for	for	ADP
easat-5993	269	17	the	the	DET
easat-5993	269	18	training	training	NOUN
easat-5993	269	19	job	job	NOUN
easat-5993	269	20	and	and	CCONJ
easat-5993	269	21	the	the	DET
easat-5993	269	22	remaining	remain	VERB
easat-5993	269	23	20	20	NUM
easat-5993	269	24	%	%	NOUN
easat-5993	269	25	reserved	reserve	VERB
easat-5993	269	26	for	for	ADP
easat-5993	269	27	testing	testing	NOUN
easat-5993	269	28	purposes	purpose	NOUN
easat-5993	269	29	.	.	PUNCT
easat-5993	270	1	algorithm	algorithm	NOUN
easat-5993	270	2	2	2	NUM
easat-5993	270	3	.	.	PUNCT
easat-5993	270	4	modified	modify	VERB
easat-5993	270	5	grey	grey	PROPN
easat-5993	270	6	wolf	wolf	PROPN
easat-5993	270	7	optimizer	optimizer	NOUN
easat-5993	270	8	start	start	VERB
easat-5993	270	9	step	step	NOUN
easat-5993	270	10	1	1	NUM
easat-5993	270	11	:	:	PUNCT
easat-5993	270	12	initiate	initiate	VERB
easat-5993	270	13	the	the	DET
easat-5993	270	14	parameters	parameter	NOUN
easat-5993	270	15	maximum	maximum	ADJ
easat-5993	270	16	number	number	NOUN
easat-5993	270	17	of	of	ADP
easat-5993	270	18	iterations	iteration	NOUN
easat-5993	270	19	,	,	PUNCT
easat-5993	270	20	population	population	NOUN
easat-5993	270	21	size	size	NOUN
easat-5993	270	22	,	,	PUNCT
easat-5993	270	23	dimension	dimension	NOUN
easat-5993	270	24	,	,	PUNCT
easat-5993	270	25	higher	higher	ADV
easat-5993	270	26	bound	bind	VERB
easat-5993	270	27	and	and	CCONJ
easat-5993	270	28	lower	low	ADJ
easat-5993	270	29	bound	bind	VERB
easat-5993	270	30	;	;	PUNCT
easat-5993	270	31	step	step	NOUN
easat-5993	270	32	2	2	NUM
easat-5993	270	33	:	:	PUNCT
easat-5993	270	34	choose	choose	VERB
easat-5993	270	35	the	the	DET
easat-5993	270	36	starting	starting	NOUN
easat-5993	270	37	locations	location	NOUN
easat-5993	270	38	of	of	ADP
easat-5993	270	39	grey	grey	ADJ
easat-5993	270	40	wolves	wolf	NOUN
easat-5993	270	41	with	with	ADP
easat-5993	270	42	higher	high	ADJ
easat-5993	270	43	bound	bind	VERB
easat-5993	270	44	and	and	CCONJ
easat-5993	270	45	lower	low	ADJ
easat-5993	270	46	bound	bind	VERB
easat-5993	270	47	;	;	PUNCT
easat-5993	270	48	step	step	NOUN
easat-5993	270	49	3	3	NUM
easat-5993	270	50	:	:	PUNCT
easat-5993	270	51	initiate	initiate	VERB
easat-5993	270	52	w⃗⃗⃗	w⃗⃗⃗	NOUN
easat-5993	270	53	,	,	PUNCT
easat-5993	270	54	x⃗⃗	x⃗⃗	PROPN
easat-5993	270	55	,	,	PUNCT
easat-5993	270	56	y⃗⃗	y⃗⃗	PROPN
easat-5993	270	57	and	and	CCONJ
easat-5993	270	58	z⃗	z⃗	NOUN
easat-5993	270	59	;	;	PUNCT
easat-5993	270	60	step	step	NOUN
easat-5993	270	61	4	4	NUM
easat-5993	270	62	:	:	PUNCT
easat-5993	270	63	determine	determine	VERB
easat-5993	270	64	each	each	DET
easat-5993	270	65	grey	grey	ADJ
easat-5993	270	66	wolf	wolf	NOUN
easat-5993	270	67	's	's	PART
easat-5993	270	68	fitness	fitness	NOUN
easat-5993	270	69	;	;	PUNCT
easat-5993	270	70	alpha	alpha	NOUN
easat-5993	270	71	w⃗⃗⃗	w⃗⃗⃗	NOUN
easat-5993	270	72	=	=	SYM
easat-5993	270	73	highest	high	ADJ
easat-5993	270	74	fitness	fitness	NOUN
easat-5993	270	75	grey	grey	PROPN
easat-5993	270	76	wolf	wolf	PROPN
easat-5993	270	77	;	;	PUNCT
easat-5993	271	1	beta	beta	ADJ
easat-5993	271	2	x⃗⃗	x⃗⃗	PROPN
easat-5993	271	3	=	=	PUNCT
easat-5993	271	4	second	second	ADV
easat-5993	271	5	highest	high	ADJ
easat-5993	271	6	fitness	fitness	NOUN
easat-5993	271	7	grey	grey	PROPN
easat-5993	271	8	wolf	wolf	PROPN
easat-5993	271	9	;	;	PUNCT
easat-5993	271	10	gamma	gamma	PROPN
easat-5993	271	11	y⃗⃗	y⃗⃗	PROPN
easat-5993	271	12	=	=	PROPN
easat-5993	271	13	third	third	ADV
easat-5993	271	14	highest	high	ADJ
easat-5993	271	15	fitness	fitness	NOUN
easat-5993	271	16	grey	grey	PROPN
easat-5993	271	17	wolf	wolf	PROPN
easat-5993	271	18	;	;	PUNCT
easat-5993	271	19	delta	delta	NOUN
easat-5993	271	20	z⃗	z⃗	NOUN
easat-5993	271	21	=	=	PUNCT
easat-5993	271	22	fourth	fourth	ADV
easat-5993	271	23	highest	high	ADJ
easat-5993	271	24	fitness	fitness	NOUN
easat-5993	271	25	grey	grey	PROPN
easat-5993	271	26	wolf	wolf	PROPN
easat-5993	271	27	;	;	PUNCT
easat-5993	271	28	step	step	NOUN
easat-5993	271	29	5	5	NUM
easat-5993	271	30	:	:	PUNCT
easat-5993	271	31	while	while	SCONJ
easat-5993	271	32	c	c	PROPN
easat-5993	271	33	is	be	AUX
easat-5993	271	34	<	<	X
easat-5993	271	35	maximum	maximum	ADJ
easat-5993	271	36	number	number	NOUN
easat-5993	271	37	of	of	ADP
easat-5993	271	38	iterations	iteration	NOUN
easat-5993	271	39	for	for	ADP
easat-5993	271	40	i	i	PRON
easat-5993	271	41	=	=	NOUN
easat-5993	271	42	1	1	NUM
easat-5993	271	43	:	:	PUNCT
easat-5993	271	44	population	population	NOUN
easat-5993	271	45	size	size	NOUN
easat-5993	271	46	update	update	VERB
easat-5993	271	47	the	the	DET
easat-5993	271	48	present	present	ADJ
easat-5993	271	49	location	location	NOUN
easat-5993	271	50	of	of	ADP
easat-5993	271	51	the	the	DET
easat-5993	271	52	grey	grey	ADJ
easat-5993	271	53	wolf	wolf	NOUN
easat-5993	271	54	in	in	ADP
easat-5993	271	55	equation	equation	NOUN
easat-5993	271	56	11	11	NUM
easat-5993	271	57	above	above	ADV
easat-5993	271	58	for	for	ADP
easat-5993	271	59	modified	modified	ADJ
easat-5993	271	60	;	;	PUNCT
easat-5993	271	61	end	end	VERB
easat-5993	271	62	for	for	ADP
easat-5993	271	63	update	update	NOUN
easat-5993	271	64	w⃗⃗⃗	w⃗⃗⃗	NOUN
easat-5993	271	65	,	,	PUNCT
easat-5993	271	66	x⃗⃗	x⃗⃗	PROPN
easat-5993	271	67	,	,	PUNCT
easat-5993	271	68	y⃗⃗	y⃗⃗	PROPN
easat-5993	271	69	and	and	CCONJ
easat-5993	271	70	z⃗	z⃗	NOUN
easat-5993	271	71	;	;	PUNCT
easat-5993	271	72	determine	determine	VERB
easat-5993	271	73	the	the	DET
easat-5993	271	74	best	good	ADJ
easat-5993	271	75	fitness	fitness	NOUN
easat-5993	271	76	of	of	ADP
easat-5993	271	77	the	the	DET
easat-5993	271	78	grey	grey	ADJ
easat-5993	271	79	wolves	wolf	NOUN
easat-5993	271	80	;	;	PUNCT
easat-5993	271	81	c	c	X
easat-5993	272	1	+	+	NOUN
easat-5993	272	2	=	=	SYM
easat-5993	272	3	c	c	NOUN
easat-5993	272	4	;	;	PUNCT
easat-5993	272	5	end	end	VERB
easat-5993	272	6	while	while	SCONJ
easat-5993	272	7	step	step	VERB
easat-5993	272	8	6	6	NUM
easat-5993	272	9	:	:	PUNCT
easat-5993	272	10	return	return	VERB
easat-5993	272	11	alpha	alpha	NOUN
easat-5993	272	12	;	;	PUNCT
easat-5993	272	13	end	end	NOUN
easat-5993	272	14	389	389	NUM
easat-5993	272	15	edelweiss	edelweiss	PROPN
easat-5993	272	16	applied	apply	VERB
easat-5993	272	17	science	science	NOUN
easat-5993	272	18	and	and	CCONJ
easat-5993	272	19	technology	technology	NOUN
easat-5993	272	20	issn	issn	PROPN
easat-5993	272	21	:	:	PUNCT
easat-5993	272	22	2576	2576	NUM
easat-5993	272	23	-	-	SYM
easat-5993	272	24	8484	8484	NUM
easat-5993	272	25	vol	vol	NOUN
easat-5993	272	26	.	.	PROPN
easat-5993	273	1	9	9	NUM
easat-5993	273	2	,	,	PUNCT
easat-5993	273	3	no	no	INTJ
easat-5993	273	4	.	.	NOUN
easat-5993	273	5	4	4	NUM
easat-5993	273	6	:	:	PUNCT
easat-5993	273	7	379	379	NUM
easat-5993	273	8	-	-	SYM
easat-5993	273	9	394	394	NUM
easat-5993	273	10	,	,	PUNCT
easat-5993	273	11	2025	2025	NUM
easat-5993	273	12	doi	doi	NOUN
easat-5993	273	13	:	:	PUNCT
easat-5993	273	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	273	15	©	©	ADP
easat-5993	273	16	2025	2025	NUM
easat-5993	273	17	by	by	ADP
easat-5993	273	18	the	the	DET
easat-5993	273	19	authors	author	NOUN
easat-5993	273	20	;	;	PUNCT
easat-5993	273	21	licensee	licensee	PROPN
easat-5993	273	22	learning	learning	NOUN
easat-5993	273	23	gate	gate	NOUN
easat-5993	273	24	4	4	PROPN
easat-5993	273	25	.	.	NOUN
easat-5993	273	26	results	result	NOUN
easat-5993	273	27	and	and	CCONJ
easat-5993	273	28	discussion	discussion	NOUN
easat-5993	273	29	4.1	4.1	NUM
easat-5993	273	30	.	.	PUNCT
easat-5993	274	1	experimental	experimental	ADJ
easat-5993	274	2	configuration	configuration	NOUN
easat-5993	274	3	the	the	DET
easat-5993	274	4	trials	trial	NOUN
easat-5993	274	5	were	be	AUX
easat-5993	274	6	conducted	conduct	VERB
easat-5993	274	7	using	use	VERB
easat-5993	274	8	a	a	DET
easat-5993	274	9	dell	dell	PROPN
easat-5993	274	10	inc	inc	PROPN
easat-5993	274	11	.	.	PROPN
easat-5993	275	1	1.20.3	1.20.3	NUM
easat-5993	275	2	system	system	NOUN
easat-5993	275	3	with	with	ADP
easat-5993	275	4	an	an	DET
easat-5993	275	5	intel	intel	ADJ
easat-5993	275	6	®	®	NOUN
easat-5993	275	7	core	core	NOUN
easat-5993	275	8	™	™	ADJ
easat-5993	275	9	i7	i7	NOUN
easat-5993	275	10	-	-	PUNCT
easat-5993	275	11	6600u	6600u	NUM
easat-5993	275	12	processor	processor	NOUN
easat-5993	275	13	operating	operate	VERB
easat-5993	275	14	at	at	ADP
easat-5993	275	15	a	a	DET
easat-5993	275	16	frequency	frequency	NOUN
easat-5993	275	17	of	of	ADP
easat-5993	275	18	2.60ghz	2.60ghz	NUM
easat-5993	275	19	and	and	CCONJ
easat-5993	275	20	a	a	DET
easat-5993	275	21	clock	clock	NOUN
easat-5993	275	22	speed	speed	NOUN
easat-5993	275	23	of	of	ADP
easat-5993	275	24	2801	2801	NUM
easat-5993	275	25	mhz	mhz	NOUN
easat-5993	275	26	.	.	PUNCT
easat-5993	276	1	the	the	DET
easat-5993	276	2	system	system	NOUN
easat-5993	276	3	has	have	VERB
easat-5993	276	4	16.0	16.0	NUM
easat-5993	276	5	gb	gb	NOUN
easat-5993	276	6	of	of	ADP
easat-5993	276	7	physical	physical	ADJ
easat-5993	276	8	memory	memory	NOUN
easat-5993	276	9	and	and	CCONJ
easat-5993	276	10	16	16	NUM
easat-5993	276	11	gb	gb	NOUN
easat-5993	276	12	of	of	ADP
easat-5993	276	13	ram	ram	NOUN
easat-5993	276	14	.	.	PUNCT
easat-5993	277	1	additionally	additionally	ADV
easat-5993	277	2	,	,	PUNCT
easat-5993	277	3	the	the	DET
easat-5993	277	4	system	system	NOUN
easat-5993	277	5	is	be	AUX
easat-5993	277	6	running	run	VERB
easat-5993	277	7	the	the	DET
easat-5993	277	8	anaconda	anaconda	PROPN
easat-5993	277	9	3	3	NUM
easat-5993	277	10	software	software	NOUN
easat-5993	277	11	environment	environment	NOUN
easat-5993	277	12	.	.	PUNCT
easat-5993	278	1	the	the	DET
easat-5993	278	2	device	device	NOUN
easat-5993	278	3	has	have	VERB
easat-5993	278	4	a	a	DET
easat-5993	278	5	central	central	ADJ
easat-5993	278	6	processing	processing	NOUN
easat-5993	278	7	unit	unit	NOUN
easat-5993	278	8	(	(	PUNCT
easat-5993	278	9	cpu	cpu	PROPN
easat-5993	278	10	)	)	PUNCT
easat-5993	278	11	manufactured	manufacture	VERB
easat-5993	278	12	by	by	ADP
easat-5993	278	13	dell	dell	PROPN
easat-5993	278	14	inc	inc	PROPN
easat-5993	278	15	.	.	PROPN
easat-5993	278	16	,	,	PUNCT
easat-5993	278	17	specifically	specifically	ADV
easat-5993	278	18	version	version	VERB
easat-5993	278	19	1.20.3	1.20.3	NUM
easat-5993	278	20	.	.	PUNCT
easat-5993	279	1	after	after	ADP
easat-5993	279	2	examining	examine	VERB
easat-5993	279	3	two	two	NUM
easat-5993	279	4	distinct	distinct	ADJ
easat-5993	279	5	models	model	NOUN
easat-5993	279	6	,	,	PUNCT
easat-5993	279	7	it	it	PRON
easat-5993	279	8	was	be	AUX
easat-5993	279	9	determined	determine	VERB
easat-5993	279	10	that	that	SCONJ
easat-5993	279	11	the	the	DET
easat-5993	279	12	unique	unique	ADJ
easat-5993	279	13	technique	technique	NOUN
easat-5993	279	14	known	know	VERB
easat-5993	279	15	as	as	ADP
easat-5993	279	16	the	the	DET
easat-5993	279	17	mgwo	mgwo	PROPN
easat-5993	279	18	-	-	PUNCT
easat-5993	279	19	cnn	cnn	PROPN
easat-5993	279	20	model	model	NOUN
easat-5993	279	21	exhibited	exhibit	VERB
easat-5993	279	22	superior	superior	ADJ
easat-5993	279	23	performance	performance	NOUN
easat-5993	279	24	,	,	PUNCT
easat-5993	279	25	achieving	achieve	VERB
easat-5993	279	26	maximum	maximum	ADJ
easat-5993	279	27	accuracy	accuracy	NOUN
easat-5993	279	28	.	.	PUNCT
easat-5993	280	1	the	the	DET
easat-5993	280	2	training	training	NOUN
easat-5993	280	3	process	process	NOUN
easat-5993	280	4	for	for	ADP
easat-5993	280	5	this	this	DET
easat-5993	280	6	model	model	NOUN
easat-5993	280	7	was	be	AUX
easat-5993	280	8	completed	complete	VERB
easat-5993	280	9	within	within	ADP
easat-5993	280	10	a	a	DET
easat-5993	280	11	few	few	ADJ
easat-5993	280	12	minutes	minute	NOUN
easat-5993	280	13	using	use	VERB
easat-5993	280	14	the	the	DET
easat-5993	280	15	specified	specified	ADJ
easat-5993	280	16	configuration	configuration	NOUN
easat-5993	280	17	.	.	PUNCT
easat-5993	281	1	the	the	DET
easat-5993	281	2	findings	finding	NOUN
easat-5993	281	3	were	be	AUX
easat-5993	281	4	obtained	obtain	VERB
easat-5993	281	5	using	use	VERB
easat-5993	281	6	python	python	NOUN
easat-5993	281	7	programming	programming	NOUN
easat-5993	281	8	language	language	NOUN
easat-5993	281	9	and	and	CCONJ
easat-5993	281	10	opencv	opencv	PROPN
easat-5993	281	11	computer	computer	NOUN
easat-5993	281	12	vision	vision	NOUN
easat-5993	281	13	library	library	NOUN
easat-5993	281	14	.	.	PUNCT
easat-5993	282	1	the	the	DET
easat-5993	282	2	model	model	NOUN
easat-5993	282	3	was	be	AUX
easat-5993	282	4	tested	test	VERB
easat-5993	282	5	using	use	VERB
easat-5993	282	6	scikit	scikit	NOUN
easat-5993	282	7	-	-	PUNCT
easat-5993	282	8	learn	learn	VERB
easat-5993	282	9	and	and	CCONJ
easat-5993	282	10	numpy	numpy	NOUN
easat-5993	282	11	.	.	PUNCT
easat-5993	283	1	4.2	4.2	NUM
easat-5993	283	2	.	.	PUNCT
easat-5993	283	3	results	result	NOUN
easat-5993	283	4	from	from	ADP
easat-5993	283	5	experimentation	experimentation	NOUN
easat-5993	283	6	the	the	DET
easat-5993	283	7	proposed	propose	VERB
easat-5993	283	8	research	research	NOUN
easat-5993	283	9	used	use	VERB
easat-5993	283	10	the	the	DET
easat-5993	283	11	gwo	gwo	NOUN
easat-5993	283	12	and	and	CCONJ
easat-5993	283	13	a	a	DET
easat-5993	283	14	cnn	cnn	PROPN
easat-5993	283	15	approach	approach	NOUN
easat-5993	283	16	to	to	PART
easat-5993	283	17	assess	assess	VERB
easat-5993	283	18	its	its	PRON
easat-5993	283	19	effectiveness	effectiveness	NOUN
easat-5993	283	20	in	in	ADP
easat-5993	283	21	covid-19	covid-19	PROPN
easat-5993	283	22	detection	detection	NOUN
easat-5993	283	23	.	.	PUNCT
easat-5993	284	1	additionally	additionally	ADV
easat-5993	284	2	,	,	PUNCT
easat-5993	284	3	the	the	DET
easat-5993	284	4	study	study	NOUN
easat-5993	284	5	compared	compare	VERB
easat-5993	284	6	the	the	DET
easat-5993	284	7	performance	performance	NOUN
easat-5993	284	8	of	of	ADP
easat-5993	284	9	this	this	DET
easat-5993	284	10	approach	approach	NOUN
easat-5993	284	11	to	to	ADP
easat-5993	284	12	a	a	DET
easat-5993	284	13	novel	novel	NOUN
easat-5993	284	14	modified	modify	VERB
easat-5993	284	15	gwo	gwo	NOUN
easat-5993	284	16	strategy	strategy	NOUN
easat-5993	284	17	that	that	PRON
easat-5993	284	18	was	be	AUX
easat-5993	284	19	recommended	recommend	VERB
easat-5993	284	20	.	.	PUNCT
easat-5993	285	1	the	the	DET
easat-5993	285	2	assessment	assessment	NOUN
easat-5993	285	3	dataset	dataset	NOUN
easat-5993	285	4	included	include	VERB
easat-5993	285	5	13,758	13,758	NUM
easat-5993	285	6	chest	chest	NOUN
easat-5993	285	7	x	x	NOUN
easat-5993	285	8	-	-	NOUN
easat-5993	285	9	ray	ray	NOUN
easat-5993	285	10	scans	scan	NOUN
easat-5993	285	11	,	,	PUNCT
easat-5993	285	12	3,617	3,617	NUM
easat-5993	285	13	images	image	NOUN
easat-5993	285	14	depicting	depict	VERB
easat-5993	285	15	covid-19	covid-19	PROPN
easat-5993	285	16	cases	case	NOUN
easat-5993	285	17	and	and	CCONJ
easat-5993	285	18	10,141	10,141	NUM
easat-5993	285	19	images	image	NOUN
easat-5993	285	20	representing	represent	VERB
easat-5993	285	21	normal	normal	ADJ
easat-5993	285	22	cases	case	NOUN
easat-5993	285	23	.	.	PUNCT
easat-5993	286	1	the	the	DET
easat-5993	286	2	performance	performance	NOUN
easat-5993	286	3	and	and	CCONJ
easat-5993	286	4	compilation	compilation	NOUN
easat-5993	286	5	time	time	NOUN
easat-5993	286	6	of	of	ADP
easat-5993	286	7	the	the	DET
easat-5993	286	8	gwo	gwo	PROPN
easat-5993	286	9	-	-	PROPN
easat-5993	286	10	cnn	cnn	PROPN
easat-5993	286	11	model	model	NOUN
easat-5993	286	12	were	be	AUX
easat-5993	286	13	assessed	assess	VERB
easat-5993	286	14	alongside	alongside	ADP
easat-5993	286	15	the	the	DET
easat-5993	286	16	recommended	recommend	VERB
easat-5993	286	17	mgwo	mgwo	NOUN
easat-5993	286	18	-	-	PUNCT
easat-5993	286	19	cnn	cnn	PROPN
easat-5993	286	20	model	model	NOUN
easat-5993	286	21	since	since	SCONJ
easat-5993	286	22	the	the	DET
easat-5993	286	23	study	study	NOUN
easat-5993	286	24	goal	goal	NOUN
easat-5993	286	25	is	be	AUX
easat-5993	286	26	to	to	PART
easat-5993	286	27	determine	determine	VERB
easat-5993	286	28	the	the	DET
easat-5993	286	29	most	most	ADV
easat-5993	286	30	optimal	optimal	ADJ
easat-5993	286	31	model	model	NOUN
easat-5993	286	32	.	.	PUNCT
easat-5993	287	1	each	each	DET
easat-5993	287	2	model	model	NOUN
easat-5993	287	3	was	be	AUX
easat-5993	287	4	subjected	subject	VERB
easat-5993	287	5	to	to	ADP
easat-5993	287	6	finetuning	finetune	VERB
easat-5993	287	7	,	,	PUNCT
easat-5993	287	8	including	include	VERB
easat-5993	287	9	training	training	NOUN
easat-5993	287	10	for	for	ADP
easat-5993	287	11	50	50	NUM
easat-5993	287	12	epochs	epoch	NOUN
easat-5993	287	13	and	and	CCONJ
easat-5993	287	14	using	use	VERB
easat-5993	287	15	optimizers	optimizer	NOUN
easat-5993	287	16	recommended	recommend	VERB
easat-5993	287	17	by	by	ADP
easat-5993	287	18	grid	grid	NOUN
easat-5993	287	19	search	search	NOUN
easat-5993	287	20	.	.	PUNCT
easat-5993	288	1	this	this	DET
easat-5993	288	2	finetuning	finetuning	NOUN
easat-5993	288	3	process	process	NOUN
easat-5993	288	4	aimed	aim	VERB
easat-5993	288	5	at	at	ADP
easat-5993	288	6	maximizing	maximize	VERB
easat-5993	288	7	the	the	DET
easat-5993	288	8	loss	loss	NOUN
easat-5993	288	9	function	function	NOUN
easat-5993	288	10	,	,	PUNCT
easat-5993	288	11	employing	employ	VERB
easat-5993	288	12	a	a	DET
easat-5993	288	13	learning	learn	VERB
easat-5993	288	14	rate	rate	NOUN
easat-5993	288	15	0.0001	0.0001	NUM
easat-5993	288	16	.	.	PUNCT
easat-5993	289	1	before	before	ADP
easat-5993	289	2	being	be	AUX
easat-5993	289	3	processed	process	VERB
easat-5993	289	4	by	by	ADP
easat-5993	289	5	the	the	DET
easat-5993	289	6	neural	neural	ADJ
easat-5993	289	7	network	network	NOUN
easat-5993	289	8	,	,	PUNCT
easat-5993	289	9	the	the	DET
easat-5993	289	10	images	image	NOUN
easat-5993	289	11	underwent	undergo	VERB
easat-5993	289	12	a	a	DET
easat-5993	289	13	downsampling	downsample	VERB
easat-5993	289	14	procedure	procedure	NOUN
easat-5993	289	15	to	to	PART
easat-5993	289	16	achieve	achieve	VERB
easat-5993	289	17	the	the	DET
easat-5993	289	18	required	require	VERB
easat-5993	289	19	dimensions	dimension	NOUN
easat-5993	289	20	of	of	ADP
easat-5993	289	21	224	224	NUM
easat-5993	289	22	×	×	NOUN
easat-5993	289	23	224	224	NUM
easat-5993	289	24	,	,	PUNCT
easat-5993	289	25	as	as	SCONJ
easat-5993	289	26	specified	specify	VERB
easat-5993	289	27	by	by	ADP
easat-5993	289	28	the	the	DET
easat-5993	289	29	models	model	NOUN
easat-5993	289	30	.	.	PUNCT
easat-5993	290	1	figure	figure	VERB
easat-5993	290	2	1	1	NUM
easat-5993	290	3	presents	present	VERB
easat-5993	290	4	a	a	DET
easat-5993	290	5	collection	collection	NOUN
easat-5993	290	6	of	of	ADP
easat-5993	290	7	chest	chest	NOUN
easat-5993	290	8	radiographs	radiograph	NOUN
easat-5993	290	9	,	,	PUNCT
easat-5993	290	10	showcasing	showcase	VERB
easat-5993	290	11	examples	example	NOUN
easat-5993	290	12	of	of	ADP
easat-5993	290	13	both	both	CCONJ
easat-5993	290	14	covid-19	covid-19	PROPN
easat-5993	290	15	and	and	CCONJ
easat-5993	290	16	normal	normal	ADJ
easat-5993	290	17	cases	case	NOUN
easat-5993	290	18	.	.	PUNCT
easat-5993	291	1	the	the	DET
easat-5993	291	2	preprocessed	preprocesse	VERB
easat-5993	291	3	images	image	NOUN
easat-5993	291	4	were	be	AUX
easat-5993	291	5	fed	feed	VERB
easat-5993	291	6	into	into	ADP
easat-5993	291	7	the	the	DET
easat-5993	291	8	cnn	cnn	PROPN
easat-5993	291	9	models	model	NOUN
easat-5993	291	10	to	to	PART
easat-5993	291	11	enhance	enhance	VERB
easat-5993	291	12	classification	classification	NOUN
easat-5993	291	13	accuracy	accuracy	NOUN
easat-5993	291	14	.	.	PUNCT
easat-5993	292	1	initially	initially	ADV
easat-5993	292	2	,	,	PUNCT
easat-5993	292	3	a	a	DET
easat-5993	292	4	validation	validation	NOUN
easat-5993	292	5	set	set	NOUN
easat-5993	292	6	consisting	consist	VERB
easat-5993	292	7	of	of	ADP
easat-5993	292	8	10	10	NUM
easat-5993	292	9	%	%	NOUN
easat-5993	292	10	of	of	ADP
easat-5993	292	11	the	the	DET
easat-5993	292	12	training	training	NOUN
easat-5993	292	13	data	datum	NOUN
easat-5993	292	14	was	be	AUX
easat-5993	292	15	used	use	VERB
easat-5993	292	16	as	as	ADP
easat-5993	292	17	the	the	DET
easat-5993	292	18	default	default	NOUN
easat-5993	292	19	.	.	PUNCT
easat-5993	293	1	the	the	DET
easat-5993	293	2	accuracy	accuracy	NOUN
easat-5993	293	3	and	and	CCONJ
easat-5993	293	4	loss	loss	NOUN
easat-5993	293	5	values	value	NOUN
easat-5993	293	6	obtained	obtain	VERB
easat-5993	293	7	during	during	ADP
easat-5993	293	8	the	the	DET
easat-5993	293	9	training	training	NOUN
easat-5993	293	10	and	and	CCONJ
easat-5993	293	11	validation	validation	NOUN
easat-5993	293	12	phases	phase	NOUN
easat-5993	293	13	were	be	AUX
easat-5993	293	14	subsequently	subsequently	ADV
easat-5993	293	15	applied	apply	VERB
easat-5993	293	16	to	to	ADP
easat-5993	293	17	the	the	DET
easat-5993	293	18	dataset	dataset	NOUN
easat-5993	293	19	for	for	ADP
easat-5993	293	20	performance	performance	NOUN
easat-5993	293	21	evaluation	evaluation	NOUN
easat-5993	293	22	.	.	PUNCT
easat-5993	294	1	the	the	DET
easat-5993	294	2	effectiveness	effectiveness	NOUN
easat-5993	294	3	of	of	ADP
easat-5993	294	4	the	the	DET
easat-5993	294	5	proposed	propose	VERB
easat-5993	294	6	approach	approach	NOUN
easat-5993	294	7	was	be	AUX
easat-5993	294	8	assessed	assess	VERB
easat-5993	294	9	by	by	ADP
easat-5993	294	10	computing	compute	VERB
easat-5993	294	11	the	the	DET
easat-5993	294	12	classification	classification	NOUN
easat-5993	294	13	accuracy	accuracy	NOUN
easat-5993	294	14	scores	score	NOUN
easat-5993	294	15	for	for	ADP
easat-5993	294	16	both	both	CCONJ
easat-5993	294	17	the	the	DET
easat-5993	294	18	training	training	NOUN
easat-5993	294	19	and	and	CCONJ
easat-5993	294	20	validation	validation	NOUN
easat-5993	294	21	stages	stage	NOUN
easat-5993	294	22	.	.	PUNCT
easat-5993	295	1	figure	figure	VERB
easat-5993	295	2	3	3	NUM
easat-5993	295	3	illustrates	illustrate	VERB
easat-5993	295	4	the	the	DET
easat-5993	295	5	accuracy	accuracy	NOUN
easat-5993	295	6	scores	score	NOUN
easat-5993	295	7	recorded	record	VERB
easat-5993	295	8	over	over	ADP
easat-5993	295	9	50	50	NUM
easat-5993	295	10	training	training	NOUN
easat-5993	295	11	epochs	epoch	NOUN
easat-5993	295	12	.	.	PUNCT
easat-5993	296	1	the	the	DET
easat-5993	296	2	results	result	NOUN
easat-5993	296	3	indicate	indicate	VERB
easat-5993	296	4	that	that	SCONJ
easat-5993	296	5	the	the	DET
easat-5993	296	6	mgwocnn	mgwocnn	PROPN
easat-5993	296	7	model	model	NOUN
easat-5993	296	8	outperformed	outperform	VERB
easat-5993	296	9	other	other	ADJ
easat-5993	296	10	approaches	approach	NOUN
easat-5993	296	11	,	,	PUNCT
easat-5993	296	12	achieving	achieve	VERB
easat-5993	296	13	a	a	DET
easat-5993	296	14	training	training	NOUN
easat-5993	296	15	accuracy	accuracy	NOUN
easat-5993	296	16	of	of	ADP
easat-5993	296	17	96	96	NUM
easat-5993	296	18	%	%	NOUN
easat-5993	296	19	and	and	CCONJ
easat-5993	296	20	a	a	DET
easat-5993	296	21	validation	validation	NOUN
easat-5993	296	22	accuracy	accuracy	NOUN
easat-5993	296	23	of	of	ADP
easat-5993	296	24	99	99	NUM
easat-5993	296	25	%	%	NOUN
easat-5993	296	26	.	.	PUNCT
easat-5993	297	1	similarly	similarly	ADV
easat-5993	297	2	,	,	PUNCT
easat-5993	297	3	the	the	DET
easat-5993	297	4	gwo	gwo	PROPN
easat-5993	297	5	-	-	PUNCT
easat-5993	297	6	cnn	cnn	PROPN
easat-5993	297	7	model	model	NOUN
easat-5993	297	8	demonstrated	demonstrate	VERB
easat-5993	297	9	a	a	DET
easat-5993	297	10	strong	strong	ADJ
easat-5993	297	11	performance	performance	NOUN
easat-5993	297	12	,	,	PUNCT
easat-5993	297	13	attaining	attain	VERB
easat-5993	297	14	accuracy	accuracy	NOUN
easat-5993	297	15	rates	rate	NOUN
easat-5993	297	16	of	of	ADP
easat-5993	297	17	92	92	NUM
easat-5993	297	18	%	%	NOUN
easat-5993	297	19	for	for	ADP
easat-5993	297	20	training	training	NOUN
easat-5993	297	21	and	and	CCONJ
easat-5993	297	22	95	95	NUM
easat-5993	297	23	%	%	NOUN
easat-5993	297	24	for	for	ADP
easat-5993	297	25	validation	validation	NOUN
easat-5993	297	26	.	.	PUNCT
easat-5993	298	1	the	the	DET
easat-5993	298	2	loss	loss	NOUN
easat-5993	298	3	values	value	NOUN
easat-5993	298	4	of	of	ADP
easat-5993	298	5	the	the	DET
easat-5993	298	6	models	model	NOUN
easat-5993	298	7	,	,	PUNCT
easat-5993	298	8	which	which	PRON
easat-5993	298	9	reflect	reflect	VERB
easat-5993	298	10	their	their	PRON
easat-5993	298	11	performance	performance	NOUN
easat-5993	298	12	after	after	ADP
easat-5993	298	13	each	each	DET
easat-5993	298	14	iteration	iteration	NOUN
easat-5993	298	15	,	,	PUNCT
easat-5993	298	16	were	be	AUX
easat-5993	298	17	also	also	ADV
easat-5993	298	18	analyzed	analyze	VERB
easat-5993	298	19	.	.	PUNCT
easat-5993	299	1	a	a	DET
easat-5993	299	2	decrease	decrease	NOUN
easat-5993	299	3	in	in	ADP
easat-5993	299	4	loss	loss	NOUN
easat-5993	299	5	generally	generally	ADV
easat-5993	299	6	corresponds	correspond	VERB
easat-5993	299	7	to	to	ADP
easat-5993	299	8	improved	improved	ADJ
easat-5993	299	9	model	model	NOUN
easat-5993	299	10	performance	performance	NOUN
easat-5993	299	11	,	,	PUNCT
easat-5993	299	12	provided	provide	VERB
easat-5993	299	13	overfitting	overfitting	NOUN
easat-5993	299	14	does	do	AUX
easat-5993	299	15	not	not	PART
easat-5993	299	16	occur	occur	VERB
easat-5993	299	17	.	.	PUNCT
easat-5993	300	1	figure	figure	VERB
easat-5993	300	2	4	4	NUM
easat-5993	300	3	visualizes	visualize	VERB
easat-5993	300	4	and	and	CCONJ
easat-5993	300	5	quantifies	quantifie	NOUN
easat-5993	300	6	the	the	DET
easat-5993	300	7	loss	loss	NOUN
easat-5993	300	8	incurred	incur	VERB
easat-5993	300	9	during	during	ADP
easat-5993	300	10	the	the	DET
easat-5993	300	11	training	training	NOUN
easat-5993	300	12	and	and	CCONJ
easat-5993	300	13	testing	testing	NOUN
easat-5993	300	14	phases	phase	NOUN
easat-5993	300	15	.	.	PUNCT
easat-5993	301	1	the	the	DET
easat-5993	301	2	results	result	NOUN
easat-5993	301	3	indicate	indicate	VERB
easat-5993	301	4	a	a	DET
easat-5993	301	5	downward	downward	ADJ
easat-5993	301	6	trend	trend	NOUN
easat-5993	301	7	in	in	ADP
easat-5993	301	8	average	average	ADJ
easat-5993	301	9	loss	loss	NOUN
easat-5993	301	10	as	as	SCONJ
easat-5993	301	11	the	the	DET
easat-5993	301	12	number	number	NOUN
easat-5993	301	13	of	of	ADP
easat-5993	301	14	epochs	epoch	NOUN
easat-5993	301	15	increased	increase	VERB
easat-5993	301	16	.	.	PUNCT
easat-5993	302	1	however	however	ADV
easat-5993	302	2	,	,	PUNCT
easat-5993	302	3	the	the	DET
easat-5993	302	4	extent	extent	NOUN
easat-5993	302	5	of	of	ADP
easat-5993	302	6	reduction	reduction	NOUN
easat-5993	302	7	varied	vary	VERB
easat-5993	302	8	across	across	ADP
easat-5993	302	9	models	model	NOUN
easat-5993	302	10	.	.	PUNCT
easat-5993	303	1	the	the	DET
easat-5993	303	2	mgwo	mgwo	PROPN
easat-5993	303	3	-	-	PUNCT
easat-5993	303	4	cnn	cnn	PROPN
easat-5993	303	5	model	model	NOUN
easat-5993	303	6	demonstrated	demonstrate	VERB
easat-5993	303	7	superior	superior	ADJ
easat-5993	303	8	performance	performance	NOUN
easat-5993	303	9	,	,	PUNCT
easat-5993	303	10	exhibiting	exhibit	VERB
easat-5993	303	11	significantly	significantly	ADV
easat-5993	303	12	lower	low	ADJ
easat-5993	303	13	loss	loss	NOUN
easat-5993	303	14	rates	rate	NOUN
easat-5993	303	15	compared	compare	VERB
easat-5993	303	16	to	to	ADP
easat-5993	303	17	the	the	DET
easat-5993	303	18	gwo	gwo	PROPN
easat-5993	303	19	-	-	PROPN
easat-5993	303	20	cnn	cnn	PROPN
easat-5993	303	21	model	model	NOUN
easat-5993	303	22	.	.	PUNCT
easat-5993	304	1	specifically	specifically	ADV
easat-5993	304	2	,	,	PUNCT
easat-5993	304	3	the	the	DET
easat-5993	304	4	mgwo	mgwo	NOUN
easat-5993	304	5	-	-	PUNCT
easat-5993	304	6	cnn	cnn	PROPN
easat-5993	304	7	model	model	NOUN
easat-5993	304	8	recorded	record	VERB
easat-5993	304	9	a	a	DET
easat-5993	304	10	training	training	NOUN
easat-5993	304	11	loss	loss	NOUN
easat-5993	304	12	of	of	ADP
easat-5993	304	13	11.28	11.28	NUM
easat-5993	304	14	%	%	NOUN
easat-5993	304	15	and	and	CCONJ
easat-5993	304	16	a	a	DET
easat-5993	304	17	validation	validation	NOUN
easat-5993	304	18	loss	loss	NOUN
easat-5993	304	19	of	of	ADP
easat-5993	304	20	4.73	4.73	NUM
easat-5993	304	21	%	%	NOUN
easat-5993	304	22	,	,	PUNCT
easat-5993	304	23	whereas	whereas	SCONJ
easat-5993	304	24	the	the	DET
easat-5993	304	25	gwo	gwo	PROPN
easat-5993	304	26	-	-	ADJ
easat-5993	304	27	cnn	cnn	PROPN
easat-5993	304	28	model	model	NOUN
easat-5993	304	29	showed	show	VERB
easat-5993	304	30	higher	high	ADJ
easat-5993	304	31	loss	loss	NOUN
easat-5993	304	32	rates	rate	NOUN
easat-5993	304	33	of	of	ADP
easat-5993	304	34	26.62	26.62	NUM
easat-5993	304	35	%	%	NOUN
easat-5993	304	36	for	for	ADP
easat-5993	304	37	training	training	NOUN
easat-5993	304	38	and	and	CCONJ
easat-5993	304	39	18.57	18.57	NUM
easat-5993	304	40	%	%	NOUN
easat-5993	304	41	for	for	ADP
easat-5993	304	42	validation	validation	NOUN
easat-5993	304	43	.	.	PUNCT
easat-5993	305	1	these	these	DET
easat-5993	305	2	findings	finding	NOUN
easat-5993	305	3	confirm	confirm	VERB
easat-5993	305	4	the	the	DET
easat-5993	305	5	effectiveness	effectiveness	NOUN
easat-5993	305	6	of	of	ADP
easat-5993	305	7	the	the	DET
easat-5993	305	8	mgwo	mgwo	PROPN
easat-5993	305	9	-	-	PUNCT
easat-5993	305	10	cnn	cnn	PROPN
easat-5993	305	11	model	model	NOUN
easat-5993	305	12	in	in	ADP
easat-5993	305	13	achieving	achieve	VERB
easat-5993	305	14	improved	improved	ADJ
easat-5993	305	15	classification	classification	NOUN
easat-5993	305	16	performance	performance	NOUN
easat-5993	305	17	.	.	PUNCT
easat-5993	306	1	390	390	NUM
easat-5993	306	2	edelweiss	edelweiss	PROPN
easat-5993	306	3	applied	apply	VERB
easat-5993	306	4	science	science	NOUN
easat-5993	306	5	and	and	CCONJ
easat-5993	306	6	technology	technology	NOUN
easat-5993	306	7	issn	issn	PROPN
easat-5993	306	8	:	:	PUNCT
easat-5993	306	9	2576	2576	NUM
easat-5993	306	10	-	-	SYM
easat-5993	306	11	8484	8484	NUM
easat-5993	306	12	vol	vol	NOUN
easat-5993	306	13	.	.	PROPN
easat-5993	307	1	9	9	NUM
easat-5993	307	2	,	,	PUNCT
easat-5993	307	3	no	no	INTJ
easat-5993	307	4	.	.	NOUN
easat-5993	307	5	4	4	NUM
easat-5993	307	6	:	:	PUNCT
easat-5993	307	7	379	379	NUM
easat-5993	307	8	-	-	SYM
easat-5993	307	9	394	394	NUM
easat-5993	307	10	,	,	PUNCT
easat-5993	307	11	2025	2025	NUM
easat-5993	307	12	doi	doi	NOUN
easat-5993	307	13	:	:	PUNCT
easat-5993	307	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	307	15	©	©	ADP
easat-5993	307	16	2025	2025	NUM
easat-5993	307	17	by	by	ADP
easat-5993	307	18	the	the	DET
easat-5993	307	19	authors	author	NOUN
easat-5993	307	20	;	;	PUNCT
easat-5993	307	21	licensee	licensee	PROPN
easat-5993	307	22	learning	learning	NOUN
easat-5993	307	23	gate	gate	NOUN
easat-5993	307	24	(	(	PUNCT
easat-5993	307	25	a	a	NOUN
easat-5993	307	26	)	)	PUNCT
easat-5993	307	27	(	(	PUNCT
easat-5993	307	28	b	b	X
easat-5993	307	29	)	)	PUNCT
easat-5993	307	30	figure	figure	NOUN
easat-5993	307	31	3	3	NUM
easat-5993	307	32	.	.	PUNCT
easat-5993	307	33	a.	a.	PROPN
easat-5993	307	34	gwo	gwo	PROPN
easat-5993	307	35	-	-	PROPN
easat-5993	307	36	cnn	cnn	PROPN
easat-5993	307	37	and	and	CCONJ
easat-5993	307	38	b.	b.	PROPN
easat-5993	307	39	mgwo	mgwo	PROPN
easat-5993	307	40	-	-	PUNCT
easat-5993	307	41	cnn	cnn	PROPN
easat-5993	307	42	training	training	NOUN
easat-5993	307	43	and	and	CCONJ
easat-5993	307	44	validation	validation	NOUN
easat-5993	307	45	accuracy	accuracy	NOUN
easat-5993	307	46	graph	graph	NOUN
easat-5993	307	47	.	.	PUNCT
easat-5993	308	1	(	(	PUNCT
easat-5993	308	2	a	a	X
easat-5993	308	3	)	)	PUNCT
easat-5993	308	4	(	(	PUNCT
easat-5993	308	5	b	b	X
easat-5993	308	6	)	)	PUNCT
easat-5993	308	7	figure	figure	NOUN
easat-5993	308	8	4	4	NUM
easat-5993	308	9	.	.	PUNCT
easat-5993	308	10	a.	a.	PROPN
easat-5993	308	11	gwo	gwo	PROPN
easat-5993	308	12	-	-	PROPN
easat-5993	308	13	cnn	cnn	PROPN
easat-5993	308	14	and	and	CCONJ
easat-5993	308	15	b.	b.	PROPN
easat-5993	308	16	mgwo	mgwo	PROPN
easat-5993	308	17	-	-	PUNCT
easat-5993	308	18	cnn	cnn	PROPN
easat-5993	308	19	model	model	PROPN
easat-5993	308	20	entropy	entropy	PROPN
easat-5993	308	21	graph	graph	NOUN
easat-5993	308	22	.	.	PUNCT
easat-5993	309	1	391	391	NUM
easat-5993	309	2	edelweiss	edelweiss	PROPN
easat-5993	309	3	applied	apply	VERB
easat-5993	309	4	science	science	NOUN
easat-5993	309	5	and	and	CCONJ
easat-5993	309	6	technology	technology	NOUN
easat-5993	309	7	issn	issn	PROPN
easat-5993	309	8	:	:	PUNCT
easat-5993	309	9	2576	2576	NUM
easat-5993	309	10	-	-	SYM
easat-5993	309	11	8484	8484	NUM
easat-5993	309	12	vol	vol	NOUN
easat-5993	309	13	.	.	PROPN
easat-5993	310	1	9	9	NUM
easat-5993	310	2	,	,	PUNCT
easat-5993	310	3	no	no	INTJ
easat-5993	310	4	.	.	NOUN
easat-5993	310	5	4	4	NUM
easat-5993	310	6	:	:	PUNCT
easat-5993	310	7	379	379	NUM
easat-5993	310	8	-	-	SYM
easat-5993	310	9	394	394	NUM
easat-5993	310	10	,	,	PUNCT
easat-5993	310	11	2025	2025	NUM
easat-5993	310	12	doi	doi	NOUN
easat-5993	310	13	:	:	PUNCT
easat-5993	310	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	310	15	©	©	ADP
easat-5993	310	16	2025	2025	NUM
easat-5993	310	17	by	by	ADP
easat-5993	310	18	the	the	DET
easat-5993	310	19	authors	author	NOUN
easat-5993	310	20	;	;	PUNCT
easat-5993	310	21	licensee	licensee	PROPN
easat-5993	310	22	learning	learning	NOUN
easat-5993	310	23	gate	gate	NOUN
easat-5993	310	24	(	(	PUNCT
easat-5993	310	25	a	a	NOUN
easat-5993	310	26	)	)	PUNCT
easat-5993	310	27	(	(	PUNCT
easat-5993	310	28	b	b	X
easat-5993	310	29	)	)	PUNCT
easat-5993	310	30	figure	figure	NOUN
easat-5993	310	31	5	5	NUM
easat-5993	310	32	.	.	PUNCT
easat-5993	310	33	confusion	confusion	NOUN
easat-5993	310	34	matrix	matrix	NOUN
easat-5993	310	35	of	of	ADP
easat-5993	310	36	the	the	DET
easat-5993	310	37	models	model	NOUN
easat-5993	310	38	.	.	PUNCT
easat-5993	311	1	(	(	PUNCT
easat-5993	311	2	a	a	X
easat-5993	311	3	)	)	PUNCT
easat-5993	311	4	(	(	PUNCT
easat-5993	311	5	b	b	X
easat-5993	311	6	)	)	PUNCT
easat-5993	311	7	figure	figure	NOUN
easat-5993	311	8	6	6	NUM
easat-5993	311	9	.	.	PUNCT
easat-5993	312	1	roc	roc	NOUN
easat-5993	312	2	-	-	PUNCT
easat-5993	312	3	auc	auc	NOUN
easat-5993	312	4	curve	curve	NOUN
easat-5993	312	5	of	of	ADP
easat-5993	312	6	the	the	DET
easat-5993	312	7	model	model	NOUN
easat-5993	312	8	.	.	PUNCT
easat-5993	313	1	figure	figure	NOUN
easat-5993	313	2	5	5	NUM
easat-5993	313	3	displays	display	VERB
easat-5993	313	4	the	the	DET
easat-5993	313	5	confusion	confusion	NOUN
easat-5993	313	6	matrix	matrix	NOUN
easat-5993	313	7	for	for	ADP
easat-5993	313	8	the	the	DET
easat-5993	313	9	models	model	NOUN
easat-5993	313	10	,	,	PUNCT
easat-5993	313	11	serving	serve	VERB
easat-5993	313	12	as	as	ADP
easat-5993	313	13	a	a	DET
easat-5993	313	14	visual	visual	ADJ
easat-5993	313	15	representation	representation	NOUN
easat-5993	313	16	to	to	PART
easat-5993	313	17	facilitate	facilitate	VERB
easat-5993	313	18	the	the	DET
easat-5993	313	19	assessment	assessment	NOUN
easat-5993	313	20	of	of	ADP
easat-5993	313	21	their	their	PRON
easat-5993	313	22	overall	overall	ADJ
easat-5993	313	23	performance	performance	NOUN
easat-5993	313	24	.	.	PUNCT
easat-5993	314	1	the	the	DET
easat-5993	314	2	test	test	NOUN
easat-5993	314	3	dataset	dataset	NOUN
easat-5993	314	4	has	have	VERB
easat-5993	314	5	724	724	NUM
easat-5993	314	6	photos	photo	NOUN
easat-5993	314	7	depicting	depict	VERB
easat-5993	314	8	cases	case	NOUN
easat-5993	314	9	of	of	ADP
easat-5993	314	10	covid-19	covid-19	PROPN
easat-5993	314	11	and	and	CCONJ
easat-5993	314	12	2028	2028	NUM
easat-5993	314	13	images	image	NOUN
easat-5993	314	14	representing	represent	VERB
easat-5993	314	15	normal	normal	ADJ
easat-5993	314	16	cases	case	NOUN
easat-5993	314	17	.	.	PUNCT
easat-5993	315	1	the	the	DET
easat-5993	315	2	matrix	matrix	NOUN
easat-5993	315	3	demonstrates	demonstrate	VERB
easat-5993	315	4	that	that	SCONJ
easat-5993	315	5	mgwo	mgwo	NOUN
easat-5993	315	6	-	-	PUNCT
easat-5993	315	7	cnn	cnn	PROPN
easat-5993	315	8	has	have	AUX
easat-5993	315	9	effectively	effectively	ADV
easat-5993	315	10	identified	identify	VERB
easat-5993	315	11	1400	1400	NUM
easat-5993	315	12	normal	normal	ADJ
easat-5993	315	13	and	and	CCONJ
easat-5993	315	14	1400	1400	NUM
easat-5993	315	15	covid-19	covid-19	PROPN
easat-5993	315	16	samples	sample	NOUN
easat-5993	315	17	.	.	PUNCT
easat-5993	316	1	the	the	DET
easat-5993	316	2	model	model	NOUN
easat-5993	316	3	showed	show	VERB
easat-5993	316	4	high	high	ADJ
easat-5993	316	5	accuracy	accuracy	NOUN
easat-5993	316	6	,	,	PUNCT
easat-5993	316	7	correctly	correctly	ADV
easat-5993	316	8	identifying	identify	VERB
easat-5993	316	9	99.89	99.89	NUM
easat-5993	316	10	%	%	NOUN
easat-5993	316	11	of	of	ADP
easat-5993	316	12	the	the	DET
easat-5993	316	13	data	data	NOUN
easat-5993	316	14	samples	sample	NOUN
easat-5993	316	15	in	in	ADP
easat-5993	316	16	the	the	DET
easat-5993	316	17	test	test	NOUN
easat-5993	316	18	set	set	NOUN
easat-5993	316	19	.	.	PUNCT
easat-5993	317	1	similarly	similarly	ADV
easat-5993	317	2	,	,	PUNCT
easat-5993	317	3	the	the	DET
easat-5993	317	4	gwo	gwo	PROPN
easat-5993	317	5	-	-	PUNCT
easat-5993	317	6	cnn	cnn	PROPN
easat-5993	317	7	models	model	NOUN
easat-5993	317	8	demonstrated	demonstrate	VERB
easat-5993	317	9	high	high	ADJ
easat-5993	317	10	accuracy	accuracy	NOUN
easat-5993	317	11	by	by	ADP
easat-5993	317	12	correctly	correctly	ADV
easat-5993	317	13	classifying	classify	VERB
easat-5993	317	14	1300	1300	NUM
easat-5993	317	15	covid-19	covid-19	PROPN
easat-5993	317	16	samples	sample	NOUN
easat-5993	317	17	and	and	CCONJ
easat-5993	317	18	1400	1400	NUM
easat-5993	317	19	healthy	healthy	ADJ
easat-5993	317	20	patients	patient	NOUN
easat-5993	317	21	,	,	PUNCT
easat-5993	317	22	resulting	result	VERB
easat-5993	317	23	in	in	ADP
easat-5993	317	24	an	an	DET
easat-5993	317	25	accurate	accurate	ADJ
easat-5993	317	26	rate	rate	NOUN
easat-5993	317	27	of	of	ADP
easat-5993	317	28	99.48	99.48	NUM
easat-5993	317	29	%	%	NOUN
easat-5993	317	30	.	.	PUNCT
easat-5993	318	1	the	the	DET
easat-5993	318	2	labels	label	NOUN
easat-5993	318	3	tp	tp	NOUN
easat-5993	318	4	,	,	PUNCT
easat-5993	318	5	tn	tn	PROPN
easat-5993	318	6	,	,	PUNCT
easat-5993	318	7	fp	fp	NOUN
easat-5993	318	8	,	,	PUNCT
easat-5993	318	9	and	and	CCONJ
easat-5993	318	10	fn	fn	NOUN
easat-5993	318	11	values	value	NOUN
easat-5993	318	12	were	be	AUX
easat-5993	318	13	calculated	calculate	VERB
easat-5993	318	14	using	use	VERB
easat-5993	318	15	the	the	DET
easat-5993	318	16	confusion	confusion	NOUN
easat-5993	318	17	matrix	matrix	NOUN
easat-5993	318	18	demonstrated	demonstrate	VERB
easat-5993	318	19	in	in	ADP
easat-5993	318	20	figure	figure	NOUN
easat-5993	318	21	5	5	NUM
easat-5993	318	22	.	.	PUNCT
easat-5993	319	1	the	the	DET
easat-5993	319	2	equation	equation	NOUN
easat-5993	319	3	(	(	PUNCT
easat-5993	319	4	1	1	NUM
easat-5993	319	5	)	)	PUNCT
easat-5993	319	6	to	to	ADP
easat-5993	319	7	(	(	PUNCT
easat-5993	319	8	5	5	NUM
easat-5993	319	9	)	)	PUNCT
easat-5993	319	10	was	be	AUX
easat-5993	319	11	employed	employ	VERB
easat-5993	319	12	to	to	PART
easat-5993	319	13	examine	examine	VERB
easat-5993	319	14	the	the	DET
easat-5993	319	15	392	392	NUM
easat-5993	319	16	edelweiss	edelweiss	PROPN
easat-5993	319	17	applied	apply	VERB
easat-5993	319	18	science	science	NOUN
easat-5993	319	19	and	and	CCONJ
easat-5993	319	20	technology	technology	NOUN
easat-5993	319	21	issn	issn	PROPN
easat-5993	319	22	:	:	PUNCT
easat-5993	319	23	2576	2576	NUM
easat-5993	319	24	-	-	SYM
easat-5993	319	25	8484	8484	NUM
easat-5993	319	26	vol	vol	NOUN
easat-5993	319	27	.	.	PROPN
easat-5993	320	1	9	9	NUM
easat-5993	320	2	,	,	PUNCT
easat-5993	320	3	no	no	INTJ
easat-5993	320	4	.	.	NOUN
easat-5993	320	5	4	4	NUM
easat-5993	320	6	:	:	PUNCT
easat-5993	320	7	379	379	NUM
easat-5993	320	8	-	-	SYM
easat-5993	320	9	394	394	NUM
easat-5993	320	10	,	,	PUNCT
easat-5993	320	11	2025	2025	NUM
easat-5993	320	12	doi	doi	NOUN
easat-5993	320	13	:	:	PUNCT
easat-5993	320	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	320	15	©	©	ADP
easat-5993	320	16	2025	2025	NUM
easat-5993	320	17	by	by	ADP
easat-5993	320	18	the	the	DET
easat-5993	320	19	authors	author	NOUN
easat-5993	320	20	;	;	PUNCT
easat-5993	320	21	licensee	licensee	PROPN
easat-5993	320	22	learning	learning	NOUN
easat-5993	320	23	gate	gate	NOUN
easat-5993	320	24	effectiveness	effectiveness	NOUN
easat-5993	320	25	of	of	ADP
easat-5993	320	26	the	the	DET
easat-5993	320	27	recommended	recommend	VERB
easat-5993	320	28	system	system	NOUN
easat-5993	320	29	.	.	PUNCT
easat-5993	321	1	the	the	DET
easat-5993	321	2	calculated	calculate	VERB
easat-5993	321	3	values	value	NOUN
easat-5993	321	4	for	for	ADP
easat-5993	321	5	the	the	DET
easat-5993	321	6	performance	performance	NOUN
easat-5993	321	7	measures	measure	NOUN
easat-5993	321	8	are	be	AUX
easat-5993	321	9	obtainable	obtainable	ADJ
easat-5993	321	10	in	in	ADP
easat-5993	321	11	table	table	NOUN
easat-5993	321	12	i.	i.	NOUN
easat-5993	321	13	according	accord	VERB
easat-5993	321	14	to	to	ADP
easat-5993	321	15	the	the	DET
easat-5993	321	16	data	datum	NOUN
easat-5993	321	17	shown	show	VERB
easat-5993	321	18	in	in	ADP
easat-5993	321	19	the	the	DET
easat-5993	321	20	table	table	NOUN
easat-5993	321	21	,	,	PUNCT
easat-5993	321	22	it	it	PRON
easat-5993	321	23	is	be	AUX
easat-5993	321	24	evident	evident	ADJ
easat-5993	321	25	that	that	SCONJ
easat-5993	321	26	the	the	DET
easat-5993	321	27	updated	update	VERB
easat-5993	321	28	mgwocnn	mgwocnn	NOUN
easat-5993	321	29	exhibits	exhibit	VERB
easat-5993	321	30	superior	superior	ADJ
easat-5993	321	31	performance	performance	NOUN
easat-5993	321	32	across	across	ADP
easat-5993	321	33	several	several	ADJ
easat-5993	321	34	metrics	metric	NOUN
easat-5993	321	35	.	.	PUNCT
easat-5993	322	1	notably	notably	ADV
easat-5993	322	2	,	,	PUNCT
easat-5993	322	3	it	it	PRON
easat-5993	322	4	achieves	achieve	VERB
easat-5993	322	5	a	a	DET
easat-5993	322	6	precision	precision	NOUN
easat-5993	322	7	score	score	NOUN
easat-5993	322	8	of	of	ADP
easat-5993	322	9	99.79	99.79	NUM
easat-5993	322	10	%	%	NOUN
easat-5993	322	11	,	,	PUNCT
easat-5993	322	12	a	a	DET
easat-5993	322	13	recall	recall	NOUN
easat-5993	322	14	score	score	NOUN
easat-5993	322	15	of	of	ADP
easat-5993	322	16	100	100	NUM
easat-5993	322	17	%	%	NOUN
easat-5993	322	18	,	,	PUNCT
easat-5993	322	19	a	a	DET
easat-5993	322	20	specificity	specificity	NOUN
easat-5993	322	21	score	score	NOUN
easat-5993	322	22	of	of	ADP
easat-5993	322	23	99.79	99.79	NUM
easat-5993	322	24	%	%	NOUN
easat-5993	322	25	,	,	PUNCT
easat-5993	322	26	and	and	CCONJ
easat-5993	322	27	an	an	DET
easat-5993	322	28	f1	f1	ADJ
easat-5993	322	29	score	score	NOUN
easat-5993	322	30	of	of	ADP
easat-5993	322	31	99.89	99.89	NUM
easat-5993	322	32	%	%	NOUN
easat-5993	322	33	.	.	PUNCT
easat-5993	323	1	figure	figure	NOUN
easat-5993	323	2	6	6	NUM
easat-5993	323	3	displays	display	NOUN
easat-5993	323	4	the	the	DET
easat-5993	323	5	roc	roc	NOUN
easat-5993	323	6	-	-	PUNCT
easat-5993	323	7	auc	auc	NOUN
easat-5993	323	8	curve	curve	NOUN
easat-5993	323	9	for	for	ADP
easat-5993	323	10	the	the	DET
easat-5993	323	11	proposed	propose	VERB
easat-5993	323	12	methodology	methodology	NOUN
easat-5993	323	13	.	.	PUNCT
easat-5993	324	1	the	the	DET
easat-5993	324	2	mgwo	mgwo	NOUN
easat-5993	324	3	-	-	PUNCT
easat-5993	324	4	cnn	cnn	PROPN
easat-5993	324	5	had	have	VERB
easat-5993	324	6	the	the	DET
easat-5993	324	7	highest	high	ADJ
easat-5993	324	8	auc	auc	ADJ
easat-5993	324	9	score	score	NOUN
easat-5993	324	10	of	of	ADP
easat-5993	324	11	99.0	99.0	NUM
easat-5993	324	12	%	%	NOUN
easat-5993	324	13	compared	compare	VERB
easat-5993	324	14	with	with	ADP
easat-5993	324	15	the	the	DET
easat-5993	324	16	standard	standard	ADJ
easat-5993	324	17	gwo	gwo	NOUN
easat-5993	324	18	with	with	ADP
easat-5993	324	19	95.1	95.1	NUM
easat-5993	324	20	%	%	NOUN
easat-5993	324	21	auc	auc	NOUN
easat-5993	324	22	score	score	NOUN
easat-5993	324	23	.	.	PUNCT
easat-5993	325	1	table	table	NOUN
easat-5993	325	2	1	1	NUM
easat-5993	325	3	.	.	PUNCT
easat-5993	325	4	evaluation	evaluation	NOUN
easat-5993	325	5	of	of	ADP
easat-5993	325	6	the	the	DET
easat-5993	325	7	model	model	NOUN
easat-5993	325	8	.	.	PUNCT
easat-5993	326	1	evaluation	evaluation	NOUN
easat-5993	326	2	measures	measure	NOUN
easat-5993	326	3	gwo	gwo	PROPN
easat-5993	326	4	-	-	ADJ
easat-5993	326	5	cnn	cnn	PROPN
easat-5993	326	6	mgwo	mgwo	PROPN
easat-5993	326	7	-	-	PUNCT
easat-5993	326	8	cnn	cnn	PROPN
easat-5993	326	9	accuracy	accuracy	NOUN
easat-5993	326	10	(	(	PUNCT
easat-5993	326	11	%	%	NOUN
easat-5993	326	12	)	)	PUNCT
easat-5993	326	13	99.48	99.48	NUM
easat-5993	326	14	99.89	99.89	NUM
easat-5993	326	15	error	error	NOUN
easat-5993	326	16	rate	rate	NOUN
easat-5993	326	17	(	(	PUNCT
easat-5993	326	18	%	%	NOUN
easat-5993	326	19	)	)	PUNCT
easat-5993	326	20	0.52	0.52	NUM
easat-5993	326	21	0.11	0.11	NUM
easat-5993	326	22	sensitivity	sensitivity	NOUN
easat-5993	326	23	(	(	PUNCT
easat-5993	326	24	%	%	NOUN
easat-5993	326	25	)	)	PUNCT
easat-5993	326	26	99.92	99.92	NUM
easat-5993	326	27	100	100	NUM
easat-5993	326	28	specificity	specificity	NOUN
easat-5993	326	29	(	(	PUNCT
easat-5993	326	30	%	%	INTJ
easat-5993	326	31	)	)	PUNCT
easat-5993	326	32	99.08	99.08	NUM
easat-5993	326	33	99.79	99.79	NUM
easat-5993	326	34	false	false	ADJ
easat-5993	326	35	positive	positive	ADJ
easat-5993	326	36	rate	rate	NOUN
easat-5993	326	37	(	(	PUNCT
easat-5993	326	38	%	%	INTJ
easat-5993	326	39	)	)	PUNCT
easat-5993	326	40	0.0092	0.0092	NUM
easat-5993	326	41	0.0021	0.0021	NUM
easat-5993	326	42	precision	precision	NOUN
easat-5993	326	43	(	(	PUNCT
easat-5993	326	44	%	%	INTJ
easat-5993	326	45	)	)	PUNCT
easat-5993	326	46	99.01	99.01	NUM
easat-5993	326	47	99.79	99.79	NUM
easat-5993	326	48	f1	f1	NOUN
easat-5993	326	49	-	-	PUNCT
easat-5993	326	50	score	score	NOUN
easat-5993	326	51	(	(	PUNCT
easat-5993	326	52	%	%	INTJ
easat-5993	326	53	)	)	PUNCT
easat-5993	326	54	99.46	99.46	NUM
easat-5993	326	55	99.89	99.89	NUM
easat-5993	326	56	execution	execution	NOUN
easat-5993	326	57	time	time	NOUN
easat-5993	326	58	120mins	120min	NOUN
easat-5993	326	59	43secs	43secs	NUM
easat-5993	326	60	3023mins	3023mins	NUM
easat-5993	326	61	01secs	01sec	NOUN
easat-5993	326	62	5	5	NUM
easat-5993	326	63	.	.	X
easat-5993	326	64	conclusion	conclusion	VERB
easat-5993	326	65	the	the	DET
easat-5993	326	66	use	use	NOUN
easat-5993	326	67	of	of	ADP
easat-5993	326	68	chest	chest	NOUN
easat-5993	326	69	x	x	NOUN
easat-5993	326	70	-	-	NOUN
easat-5993	326	71	ray	ray	NOUN
easat-5993	326	72	pictures	picture	NOUN
easat-5993	326	73	,	,	PUNCT
easat-5993	326	74	namely	namely	ADV
easat-5993	326	75	those	those	PRON
easat-5993	326	76	depicting	depict	VERB
easat-5993	326	77	individuals	individual	NOUN
easat-5993	326	78	with	with	ADP
easat-5993	326	79	covid-19	covid-19	PROPN
easat-5993	326	80	and	and	CCONJ
easat-5993	326	81	those	those	PRON
easat-5993	326	82	representing	represent	VERB
easat-5993	326	83	healthy	healthy	ADJ
easat-5993	326	84	individuals	individual	NOUN
easat-5993	326	85	,	,	PUNCT
easat-5993	326	86	primarily	primarily	ADV
easat-5993	326	87	examined	examine	VERB
easat-5993	326	88	pulmonary	pulmonary	ADJ
easat-5993	326	89	issues	issue	NOUN
easat-5993	326	90	.	.	PUNCT
easat-5993	327	1	this	this	DET
easat-5993	327	2	investigation	investigation	NOUN
easat-5993	327	3	analyses	analyse	VERB
easat-5993	327	4	the	the	DET
easat-5993	327	5	distinct	distinct	ADJ
easat-5993	327	6	advantages	advantage	NOUN
easat-5993	327	7	and	and	CCONJ
easat-5993	327	8	limitations	limitation	NOUN
easat-5993	327	9	of	of	ADP
easat-5993	327	10	the	the	DET
easat-5993	327	11	cnn	cnn	PROPN
easat-5993	327	12	dl	dl	PROPN
easat-5993	327	13	model	model	PROPN
easat-5993	327	14	when	when	SCONJ
easat-5993	327	15	combined	combine	VERB
easat-5993	327	16	with	with	ADP
easat-5993	327	17	gwo	gwo	PROPN
easat-5993	327	18	and	and	CCONJ
easat-5993	327	19	mgwo	mgwo	ADJ
easat-5993	327	20	algorithms	algorithm	NOUN
easat-5993	327	21	.	.	PUNCT
easat-5993	328	1	the	the	DET
easat-5993	328	2	objective	objective	NOUN
easat-5993	328	3	is	be	AUX
easat-5993	328	4	to	to	PART
easat-5993	328	5	accurately	accurately	ADV
easat-5993	328	6	detect	detect	VERB
easat-5993	328	7	and	and	CCONJ
easat-5993	328	8	classify	classify	VERB
easat-5993	328	9	cases	case	NOUN
easat-5993	328	10	of	of	ADP
easat-5993	328	11	covid-19	covid-19	PROPN
easat-5993	328	12	with	with	ADP
easat-5993	328	13	a	a	DET
easat-5993	328	14	satisfactory	satisfactory	ADJ
easat-5993	328	15	level	level	NOUN
easat-5993	328	16	of	of	ADP
easat-5993	328	17	accuracy	accuracy	NOUN
easat-5993	328	18	.	.	PUNCT
easat-5993	329	1	considering	consider	VERB
easat-5993	329	2	the	the	DET
easat-5993	329	3	advantages	advantage	NOUN
easat-5993	329	4	and	and	CCONJ
easat-5993	329	5	downsides	downside	NOUN
easat-5993	329	6	is	be	AUX
easat-5993	329	7	crucial	crucial	ADJ
easat-5993	329	8	for	for	ADP
easat-5993	329	9	a	a	DET
easat-5993	329	10	doctor	doctor	NOUN
easat-5993	329	11	's	's	PART
easat-5993	329	12	decision	decision	NOUN
easat-5993	329	13	-	-	PUNCT
easat-5993	329	14	making	make	VERB
easat-5993	329	15	process	process	NOUN
easat-5993	329	16	to	to	PART
easat-5993	329	17	make	make	VERB
easat-5993	329	18	informed	informed	ADJ
easat-5993	329	19	choices	choice	NOUN
easat-5993	329	20	.	.	PUNCT
easat-5993	330	1	moreover	moreover	ADV
easat-5993	330	2	,	,	PUNCT
easat-5993	330	3	when	when	SCONJ
easat-5993	330	4	there	there	PRON
easat-5993	330	5	are	be	VERB
easat-5993	330	6	limitations	limitation	NOUN
easat-5993	330	7	on	on	ADP
easat-5993	330	8	time	time	NOUN
easat-5993	330	9	,	,	PUNCT
easat-5993	330	10	re	re	NOUN
easat-5993	330	11	-	-	NOUN
easat-5993	330	12	sources	source	NOUN
easat-5993	330	13	,	,	PUNCT
easat-5993	330	14	and	and	CCONJ
easat-5993	330	15	the	the	DET
easat-5993	330	16	patient	patient	NOUN
easat-5993	330	17	's	's	PART
easat-5993	330	18	health	health	NOUN
easat-5993	330	19	,	,	PUNCT
easat-5993	330	20	the	the	DET
easat-5993	330	21	physician	physician	NOUN
easat-5993	330	22	could	could	AUX
easat-5993	330	23	be	be	AUX
easat-5993	330	24	compelled	compel	VERB
easat-5993	330	25	to	to	PART
easat-5993	330	26	decide	decide	VERB
easat-5993	330	27	relying	rely	VERB
easat-5993	330	28	only	only	ADV
easat-5993	330	29	on	on	ADP
easat-5993	330	30	a	a	DET
easat-5993	330	31	single	single	ADJ
easat-5993	330	32	modality	modality	NOUN
easat-5993	330	33	.	.	PUNCT
easat-5993	331	1	this	this	DET
easat-5993	331	2	study	study	NOUN
easat-5993	331	3	used	use	VERB
easat-5993	331	4	deep	deep	ADJ
easat-5993	331	5	learning	learning	NOUN
easat-5993	331	6	methodologies	methodology	NOUN
easat-5993	331	7	to	to	PART
easat-5993	331	8	facilitate	facilitate	VERB
easat-5993	331	9	the	the	DET
easat-5993	331	10	automated	automate	VERB
easat-5993	331	11	identification	identification	NOUN
easat-5993	331	12	of	of	ADP
easat-5993	331	13	covid-19	covid-19	PROPN
easat-5993	331	14	via	via	ADP
easat-5993	331	15	the	the	DET
easat-5993	331	16	analysis	analysis	NOUN
easat-5993	331	17	of	of	ADP
easat-5993	331	18	chest	chest	NOUN
easat-5993	331	19	x	x	NOUN
easat-5993	331	20	-	-	NOUN
easat-5993	331	21	ray	ray	NOUN
easat-5993	331	22	scans	scan	NOUN
easat-5993	331	23	.	.	PUNCT
easat-5993	332	1	the	the	DET
easat-5993	332	2	system	system	NOUN
easat-5993	332	3	capabilities	capability	NOUN
easat-5993	332	4	were	be	AUX
easat-5993	332	5	strengthened	strengthen	VERB
easat-5993	332	6	by	by	ADP
easat-5993	332	7	including	include	VERB
easat-5993	332	8	the	the	DET
easat-5993	332	9	mgwo	mgwo	NOUN
easat-5993	332	10	in	in	ADP
easat-5993	332	11	the	the	DET
easat-5993	332	12	cnn	cnn	PROPN
easat-5993	332	13	model	model	NOUN
easat-5993	332	14	.	.	PUNCT
easat-5993	333	1	compared	compare	VERB
easat-5993	333	2	to	to	ADP
easat-5993	333	3	all	all	DET
easat-5993	333	4	other	other	ADJ
easat-5993	333	5	relevant	relevant	ADJ
easat-5993	333	6	functions	function	NOUN
easat-5993	333	7	,	,	PUNCT
easat-5993	333	8	the	the	DET
easat-5993	333	9	recommended	recommend	VERB
easat-5993	333	10	approach	approach	NOUN
easat-5993	333	11	demonstrated	demonstrate	VERB
easat-5993	333	12	exceptional	exceptional	ADJ
easat-5993	333	13	accuracy	accuracy	NOUN
easat-5993	333	14	in	in	ADP
easat-5993	333	15	categorization	categorization	NOUN
easat-5993	333	16	.	.	PUNCT
easat-5993	334	1	the	the	DET
easat-5993	334	2	mgwo	mgwo	PROPN
easat-5993	334	3	-	-	PUNCT
easat-5993	334	4	cnn	cnn	PROPN
easat-5993	334	5	model	model	NOUN
easat-5993	334	6	showed	show	VERB
easat-5993	334	7	a	a	DET
easat-5993	334	8	high	high	ADJ
easat-5993	334	9	level	level	NOUN
easat-5993	334	10	of	of	ADP
easat-5993	334	11	accuracy	accuracy	NOUN
easat-5993	334	12	,	,	PUNCT
easat-5993	334	13	with	with	ADP
easat-5993	334	14	a	a	DET
easat-5993	334	15	rate	rate	NOUN
easat-5993	334	16	of	of	ADP
easat-5993	334	17	99.89	99.89	NUM
easat-5993	334	18	%	%	NOUN
easat-5993	334	19	.	.	PUNCT
easat-5993	335	1	the	the	DET
easat-5993	335	2	gwo	gwo	PROPN
easat-5993	335	3	-	-	PROPN
easat-5993	335	4	cnn	cnn	PROPN
easat-5993	335	5	model	model	NOUN
easat-5993	335	6	achieved	achieve	VERB
easat-5993	335	7	a	a	DET
easat-5993	335	8	slightly	slightly	ADV
easat-5993	335	9	lower	low	ADJ
easat-5993	335	10	accuracy	accuracy	NOUN
easat-5993	335	11	rate	rate	NOUN
easat-5993	335	12	of	of	ADP
easat-5993	335	13	99.48	99.48	NUM
easat-5993	335	14	%	%	NOUN
easat-5993	335	15	.	.	PUNCT
easat-5993	336	1	in	in	ADP
easat-5993	336	2	further	further	ADJ
easat-5993	336	3	research	research	NOUN
easat-5993	336	4	endeavours	endeavour	NOUN
easat-5993	336	5	,	,	PUNCT
easat-5993	336	6	applying	apply	VERB
easat-5993	336	7	the	the	DET
easat-5993	336	8	suggested	suggest	VERB
easat-5993	336	9	methodology	methodology	NOUN
easat-5993	336	10	to	to	ADP
easat-5993	336	11	a	a	DET
easat-5993	336	12	dataset	dataset	NOUN
easat-5993	336	13	including	include	VERB
easat-5993	336	14	a	a	DET
easat-5993	336	15	broader	broad	ADJ
easat-5993	336	16	range	range	NOUN
easat-5993	336	17	of	of	ADP
easat-5993	336	18	respiratory	respiratory	ADJ
easat-5993	336	19	disorders	disorder	NOUN
easat-5993	336	20	,	,	PUNCT
easat-5993	336	21	including	include	VERB
easat-5993	336	22	but	but	CCONJ
easat-5993	336	23	not	not	PART
easat-5993	336	24	limited	limit	VERB
easat-5993	336	25	to	to	ADP
easat-5993	336	26	asthma	asthma	NOUN
easat-5993	336	27	,	,	PUNCT
easat-5993	336	28	lung	lung	NOUN
easat-5993	336	29	cancer	cancer	NOUN
easat-5993	336	30	,	,	PUNCT
easat-5993	336	31	and	and	CCONJ
easat-5993	336	32	covid19	covid19	NOUN
easat-5993	336	33	,	,	PUNCT
easat-5993	336	34	is	be	AUX
easat-5993	336	35	recommended	recommend	VERB
easat-5993	336	36	.	.	PUNCT
easat-5993	337	1	furthermore	furthermore	ADV
easat-5993	337	2	,	,	PUNCT
easat-5993	337	3	the	the	DET
easat-5993	337	4	literature	literature	NOUN
easat-5993	337	5	analysis	analysis	NOUN
easat-5993	337	6	revealed	reveal	VERB
easat-5993	337	7	inadequate	inadequate	ADJ
easat-5993	337	8	methodologies	methodology	NOUN
easat-5993	337	9	for	for	ADP
easat-5993	337	10	extracting	extract	VERB
easat-5993	337	11	features	feature	NOUN
easat-5993	337	12	from	from	ADP
easat-5993	337	13	picture	picture	NOUN
easat-5993	337	14	data	datum	NOUN
easat-5993	337	15	.	.	PUNCT
easat-5993	338	1	hence	hence	ADV
easat-5993	338	2	,	,	PUNCT
easat-5993	338	3	it	it	PRON
easat-5993	338	4	is	be	AUX
easat-5993	338	5	essential	essential	ADJ
easat-5993	338	6	to	to	PART
easat-5993	338	7	include	include	VERB
easat-5993	338	8	a	a	DET
easat-5993	338	9	feature	feature	NOUN
easat-5993	338	10	extraction	extraction	NOUN
easat-5993	338	11	strategy	strategy	NOUN
easat-5993	338	12	in	in	ADP
easat-5993	338	13	the	the	DET
easat-5993	338	14	next	next	ADJ
easat-5993	338	15	research	research	NOUN
easat-5993	338	16	endeavours	endeavour	VERB
easat-5993	338	17	.	.	PUNCT
easat-5993	339	1	transparency	transparency	NOUN
easat-5993	339	2	:	:	PUNCT
easat-5993	339	3	the	the	DET
easat-5993	339	4	authors	author	NOUN
easat-5993	339	5	confirm	confirm	VERB
easat-5993	339	6	that	that	SCONJ
easat-5993	339	7	the	the	DET
easat-5993	339	8	manuscript	manuscript	NOUN
easat-5993	339	9	is	be	AUX
easat-5993	339	10	an	an	DET
easat-5993	339	11	honest	honest	ADJ
easat-5993	339	12	,	,	PUNCT
easat-5993	339	13	accurate	accurate	ADJ
easat-5993	339	14	,	,	PUNCT
easat-5993	339	15	and	and	CCONJ
easat-5993	339	16	transparent	transparent	ADJ
easat-5993	339	17	account	account	NOUN
easat-5993	339	18	of	of	ADP
easat-5993	339	19	the	the	DET
easat-5993	339	20	study	study	NOUN
easat-5993	339	21	;	;	PUNCT
easat-5993	339	22	that	that	SCONJ
easat-5993	339	23	no	no	DET
easat-5993	339	24	vital	vital	ADJ
easat-5993	339	25	features	feature	NOUN
easat-5993	339	26	of	of	ADP
easat-5993	339	27	the	the	DET
easat-5993	339	28	study	study	NOUN
easat-5993	339	29	have	have	AUX
easat-5993	339	30	been	be	AUX
easat-5993	339	31	omitted	omit	VERB
easat-5993	339	32	;	;	PUNCT
easat-5993	339	33	and	and	CCONJ
easat-5993	339	34	that	that	SCONJ
easat-5993	339	35	any	any	DET
easat-5993	339	36	discrepancies	discrepancy	NOUN
easat-5993	339	37	from	from	ADP
easat-5993	339	38	the	the	DET
easat-5993	339	39	study	study	NOUN
easat-5993	339	40	as	as	SCONJ
easat-5993	339	41	planned	plan	VERB
easat-5993	339	42	have	have	AUX
easat-5993	339	43	been	be	AUX
easat-5993	339	44	explained	explain	VERB
easat-5993	339	45	.	.	PUNCT
easat-5993	340	1	this	this	DET
easat-5993	340	2	study	study	NOUN
easat-5993	340	3	followed	follow	VERB
easat-5993	340	4	all	all	DET
easat-5993	340	5	ethical	ethical	ADJ
easat-5993	340	6	practices	practice	NOUN
easat-5993	340	7	during	during	ADP
easat-5993	340	8	writing	writing	NOUN
easat-5993	340	9	.	.	PUNCT
easat-5993	341	1	copyright	copyright	NOUN
easat-5993	341	2	:	:	PUNCT
easat-5993	341	3	©	©	PROPN
easat-5993	341	4	2025	2025	NUM
easat-5993	341	5	by	by	ADP
easat-5993	341	6	the	the	DET
easat-5993	341	7	authors	author	NOUN
easat-5993	341	8	.	.	PUNCT
easat-5993	342	1	this	this	DET
easat-5993	342	2	open	open	ADJ
easat-5993	342	3	-	-	PUNCT
easat-5993	342	4	access	access	NOUN
easat-5993	342	5	article	article	NOUN
easat-5993	342	6	is	be	AUX
easat-5993	342	7	distributed	distribute	VERB
easat-5993	342	8	under	under	ADP
easat-5993	342	9	the	the	DET
easat-5993	342	10	terms	term	NOUN
easat-5993	342	11	and	and	CCONJ
easat-5993	342	12	conditions	condition	NOUN
easat-5993	342	13	of	of	ADP
easat-5993	342	14	the	the	DET
easat-5993	342	15	creative	creative	ADJ
easat-5993	342	16	commons	common	NOUN
easat-5993	342	17	attribution	attribution	NOUN
easat-5993	342	18	(	(	PUNCT
easat-5993	342	19	cc	cc	NOUN
easat-5993	342	20	by	by	ADP
easat-5993	342	21	)	)	PUNCT
easat-5993	342	22	license	license	NOUN
easat-5993	342	23	(	(	PUNCT
easat-5993	342	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-5993	342	25	)	)	PUNCT
easat-5993	342	26	.	.	PUNCT
easat-5993	343	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-5993	343	2	393	393	NUM
easat-5993	343	3	edelweiss	edelweiss	PROPN
easat-5993	343	4	applied	apply	VERB
easat-5993	343	5	science	science	NOUN
easat-5993	343	6	and	and	CCONJ
easat-5993	343	7	technology	technology	NOUN
easat-5993	343	8	issn	issn	PROPN
easat-5993	343	9	:	:	PUNCT
easat-5993	343	10	2576	2576	NUM
easat-5993	343	11	-	-	SYM
easat-5993	343	12	8484	8484	NUM
easat-5993	343	13	vol	vol	NOUN
easat-5993	343	14	.	.	PROPN
easat-5993	344	1	9	9	NUM
easat-5993	344	2	,	,	PUNCT
easat-5993	344	3	no	no	INTJ
easat-5993	344	4	.	.	NOUN
easat-5993	344	5	4	4	NUM
easat-5993	344	6	:	:	PUNCT
easat-5993	344	7	379	379	NUM
easat-5993	344	8	-	-	SYM
easat-5993	344	9	394	394	NUM
easat-5993	344	10	,	,	PUNCT
easat-5993	344	11	2025	2025	NUM
easat-5993	344	12	doi	doi	NOUN
easat-5993	344	13	:	:	PUNCT
easat-5993	344	14	10.55214/25768484.v9i4.5993	10.55214/25768484.v9i4.5993	NUM
easat-5993	344	15	©	©	ADP
easat-5993	344	16	2025	2025	NUM
easat-5993	344	17	by	by	ADP
easat-5993	344	18	the	the	DET
easat-5993	344	19	authors	author	NOUN
easat-5993	344	20	;	;	PUNCT
easat-5993	344	21	licensee	licensee	PROPN
easat-5993	344	22	learning	learn	VERB
easat-5993	344	23	gate	gate	NOUN
easat-5993	344	24	references	reference	NOUN
easat-5993	344	25	[	[	X
easat-5993	344	26	1	1	NUM
easat-5993	344	27	]	]	PUNCT
easat-5993	344	28	p.	p.	PROPN
easat-5993	344	29	rai	rai	PROPN
easat-5993	344	30	,	,	PUNCT
easat-5993	344	31	b.	b.	PROPN
easat-5993	344	32	k.	k.	PROPN
easat-5993	344	33	kumar	kumar	PROPN
easat-5993	344	34	,	,	PUNCT
easat-5993	344	35	v.	v.	PROPN
easat-5993	344	36	k.	k.	PROPN
easat-5993	344	37	deekshit	deekshit	PROPN
easat-5993	344	38	,	,	PUNCT
easat-5993	344	39	i.	i.	PROPN
easat-5993	344	40	karunasagar	karunasagar	PROPN
easat-5993	344	41	,	,	PUNCT
easat-5993	344	42	and	and	CCONJ
easat-5993	344	43	i.	i.	PROPN
easat-5993	344	44	karunasagar	karunasagar	PROPN
easat-5993	344	45	,	,	PUNCT
easat-5993	344	46	"	"	PUNCT
easat-5993	344	47	detection	detection	NOUN
easat-5993	344	48	technologies	technology	NOUN
easat-5993	344	49	and	and	CCONJ
easat-5993	344	50	recent	recent	ADJ
easat-5993	344	51	developments	development	NOUN
easat-5993	344	52	in	in	ADP
easat-5993	344	53	the	the	DET
easat-5993	344	54	diagnosis	diagnosis	NOUN
easat-5993	344	55	of	of	ADP
easat-5993	344	56	covid-19	covid-19	PROPN
easat-5993	344	57	infection	infection	NOUN
easat-5993	344	58	,	,	PUNCT
easat-5993	344	59	"	"	PUNCT
easat-5993	344	60	applied	apply	VERB
easat-5993	344	61	microbiology	microbiology	NOUN
easat-5993	344	62	and	and	CCONJ
easat-5993	344	63	biotechnology	biotechnology	NOUN
easat-5993	344	64	,	,	PUNCT
easat-5993	344	65	vol	vol	NOUN
easat-5993	344	66	.	.	PROPN
easat-5993	345	1	105	105	NUM
easat-5993	345	2	,	,	PUNCT
easat-5993	345	3	pp	pp	ADJ
easat-5993	345	4	.	.	PUNCT
easat-5993	346	1	441	441	NUM
easat-5993	346	2	-	-	SYM
easat-5993	346	3	455	455	NUM
easat-5993	346	4	,	,	PUNCT
easat-5993	346	5	2021	2021	NUM
easat-5993	346	6	,	,	PUNCT
easat-5993	346	7	doi	doi	NOUN
easat-5993	346	8	:	:	PUNCT
easat-5993	346	9	https://doi.org/10.1007/s00253-020-11061-5	https://doi.org/10.1007/s00253-020-11061-5	NUM
easat-5993	346	10	.	.	PUNCT
easat-5993	347	1	[	[	X
easat-5993	347	2	2	2	NUM
easat-5993	347	3	]	]	PUNCT
easat-5993	347	4	r.	r.	PROPN
easat-5993	347	5	o.	o.	PROPN
easat-5993	347	6	ogundokun	ogundokun	PROPN
easat-5993	347	7	,	,	PUNCT
easat-5993	347	8	a.	a.	PROPN
easat-5993	347	9	f.	f.	PROPN
easat-5993	347	10	lukman	lukman	PROPN
easat-5993	347	11	,	,	PUNCT
easat-5993	347	12	g.	g.	PROPN
easat-5993	347	13	b.	b.	PROPN
easat-5993	347	14	kibria	kibria	PROPN
easat-5993	347	15	,	,	PUNCT
easat-5993	347	16	j.	j.	PROPN
easat-5993	347	17	b.	b.	PROPN
easat-5993	347	18	awotunde	awotunde	PROPN
easat-5993	347	19	,	,	PUNCT
easat-5993	347	20	and	and	CCONJ
easat-5993	347	21	b.	b.	PROPN
easat-5993	347	22	b.	b.	PROPN
easat-5993	347	23	aladeitan	aladeitan	PROPN
easat-5993	347	24	,	,	PUNCT
easat-5993	347	25	"	"	PUNCT
easat-5993	347	26	predictive	predictive	ADJ
easat-5993	347	27	modelling	modelling	NOUN
easat-5993	347	28	of	of	ADP
easat-5993	347	29	covid19	covid19	NOUN
easat-5993	347	30	confirmed	confirm	VERB
easat-5993	347	31	cases	case	NOUN
easat-5993	347	32	in	in	ADP
easat-5993	347	33	nigeria	nigeria	PROPN
easat-5993	347	34	,	,	PUNCT
easat-5993	347	35	"	"	PUNCT
easat-5993	347	36	infectious	infectious	ADJ
easat-5993	347	37	disease	disease	NOUN
easat-5993	347	38	modelling	modelling	NOUN
easat-5993	347	39	,	,	PUNCT
easat-5993	347	40	vol	vol	NOUN
easat-5993	347	41	.	.	PROPN
easat-5993	347	42	5	5	NUM
easat-5993	347	43	,	,	PUNCT
easat-5993	347	44	pp	pp	ADJ
easat-5993	347	45	.	.	PUNCT
easat-5993	348	1	543	543	NUM
easat-5993	348	2	-	-	SYM
easat-5993	348	3	548	548	NUM
easat-5993	348	4	,	,	PUNCT
easat-5993	348	5	2020	2020	NUM
easat-5993	348	6	,	,	PUNCT
easat-5993	348	7	doi	doi	NOUN
easat-5993	348	8	:	:	PUNCT
easat-5993	348	9	https://doi.org/10.1016/j.idm.2020.08.003	https://doi.org/10.1016/j.idm.2020.08.003	PROPN
easat-5993	348	10	.	.	PUNCT
easat-5993	349	1	[	[	X
easat-5993	349	2	3	3	NUM
easat-5993	349	3	]	]	PUNCT
easat-5993	349	4	m.	m.	NOUN
easat-5993	349	5	o.	o.	PROPN
easat-5993	349	6	arowolo	arowolo	PROPN
easat-5993	349	7	,	,	PUNCT
easat-5993	349	8	r.	r.	PROPN
easat-5993	349	9	o.	o.	PROPN
easat-5993	349	10	ogundokun	ogundokun	PROPN
easat-5993	349	11	,	,	PUNCT
easat-5993	349	12	s.	s.	PROPN
easat-5993	349	13	misra	misra	PROPN
easat-5993	349	14	,	,	PUNCT
easat-5993	349	15	b.	b.	PROPN
easat-5993	349	16	d.	d.	PROPN
easat-5993	349	17	agboola	agboola	PROPN
easat-5993	349	18	,	,	PUNCT
easat-5993	349	19	and	and	CCONJ
easat-5993	349	20	b.	b.	PROPN
easat-5993	349	21	gupta	gupta	PROPN
easat-5993	349	22	,	,	PUNCT
easat-5993	349	23	"	"	PUNCT
easat-5993	349	24	machine	machine	NOUN
easat-5993	349	25	learning	learning	NOUN
easat-5993	349	26	-	-	PUNCT
easat-5993	349	27	based	base	VERB
easat-5993	349	28	iot	iot	NOUN
easat-5993	349	29	system	system	NOUN
easat-5993	349	30	for	for	ADP
easat-5993	349	31	covid-19	covid-19	PROPN
easat-5993	349	32	epidemics	epidemic	NOUN
easat-5993	349	33	,	,	PUNCT
easat-5993	349	34	"	"	PUNCT
easat-5993	349	35	computing	computing	NOUN
easat-5993	349	36	,	,	PUNCT
easat-5993	349	37	vol	vol	NOUN
easat-5993	349	38	.	.	PROPN
easat-5993	349	39	105	105	NUM
easat-5993	349	40	,	,	PUNCT
easat-5993	349	41	no	no	INTJ
easat-5993	349	42	.	.	NOUN
easat-5993	349	43	4	4	NUM
easat-5993	349	44	,	,	PUNCT
easat-5993	349	45	pp	pp	ADJ
easat-5993	349	46	.	.	PUNCT
easat-5993	349	47	831	831	NUM
easat-5993	349	48	-	-	SYM
easat-5993	349	49	847	847	NUM
easat-5993	349	50	,	,	PUNCT
easat-5993	349	51	2023	2023	NUM
easat-5993	349	52	,	,	PUNCT
easat-5993	349	53	doi	doi	NOUN
easat-5993	349	54	:	:	PUNCT
easat-5993	349	55	https://doi.org/10.1007/s00607-02201057-6	https://doi.org/10.1007/s00607-02201057-6	PROPN
easat-5993	349	56	.	.	PUNCT
easat-5993	350	1	[	[	X
easat-5993	350	2	4	4	NUM
easat-5993	350	3	]	]	X
easat-5993	350	4	ecdc	ecdc	NOUN
easat-5993	350	5	,	,	PUNCT
easat-5993	350	6	"	"	PUNCT
easat-5993	350	7	covid-19	covid-19	PROPN
easat-5993	350	8	situation	situation	NOUN
easat-5993	350	9	update	update	NOUN
easat-5993	350	10	worldwide	worldwide	ADV
easat-5993	350	11	,	,	PUNCT
easat-5993	350	12	"	"	PUNCT
easat-5993	350	13	european	european	ADJ
easat-5993	350	14	centre	centre	NOUN
easat-5993	350	15	for	for	ADP
easat-5993	350	16	disease	disease	NOUN
easat-5993	350	17	prevention	prevention	NOUN
easat-5993	350	18	and	and	CCONJ
easat-5993	350	19	control	control	NOUN
easat-5993	350	20	,	,	PUNCT
easat-5993	350	21	"	"	PUNCT
easat-5993	350	22	2020	2020	NUM
easat-5993	350	23	.	.	PUNCT
easat-5993	351	1	[	[	X
easat-5993	351	2	online	online	X
easat-5993	351	3	]	]	X
easat-5993	351	4	.	.	PUNCT
easat-5993	352	1	available	available	ADJ
easat-5993	352	2	:	:	PUNCT
easat-5993	352	3	https://www.ecdc.europa.eu/en/covid-19/situation-updates	https://www.ecdc.europa.eu/en/covid-19/situation-update	NOUN
easat-5993	353	1	[	[	X
easat-5993	353	2	5	5	NUM
easat-5993	353	3	]	]	PUNCT
easat-5993	353	4	m.	m.	NOUN
easat-5993	353	5	cascella	cascella	NOUN
easat-5993	353	6	,	,	PUNCT
easat-5993	353	7	m.	m.	NOUN
easat-5993	353	8	rajnik	rajnik	PROPN
easat-5993	353	9	,	,	PUNCT
easat-5993	353	10	a.	a.	NOUN
easat-5993	353	11	aleem	aleem	PROPN
easat-5993	353	12	,	,	PUNCT
easat-5993	353	13	s.	s.	PROPN
easat-5993	353	14	dulebohn	dulebohn	PROPN
easat-5993	353	15	,	,	PUNCT
easat-5993	353	16	and	and	CCONJ
easat-5993	353	17	r.	r.	PROPN
easat-5993	353	18	di	di	PROPN
easat-5993	353	19	napoli	napoli	PROPN
easat-5993	353	20	,	,	PUNCT
easat-5993	353	21	"	"	PUNCT
easat-5993	353	22	features	feature	NOUN
easat-5993	353	23	,	,	PUNCT
easat-5993	353	24	evaluation	evaluation	NOUN
easat-5993	353	25	,	,	PUNCT
easat-5993	353	26	and	and	CCONJ
easat-5993	353	27	treatment	treatment	NOUN
easat-5993	353	28	of	of	ADP
easat-5993	353	29	coronavirus	coronavirus	NOUN
easat-5993	353	30	(	(	PUNCT
easat-5993	353	31	covid-19	covid-19	PROPN
easat-5993	353	32	)	)	PUNCT
easat-5993	353	33	,	,	PUNCT
easat-5993	353	34	"	"	PUNCT
easat-5993	353	35	statpearls	statpearl	NOUN
easat-5993	353	36	,	,	PUNCT
easat-5993	353	37	"	"	PUNCT
easat-5993	353	38	2023	2023	NUM
easat-5993	353	39	.	.	PUNCT
easat-5993	354	1	[	[	X
easat-5993	354	2	online	online	X
easat-5993	354	3	]	]	X
easat-5993	354	4	.	.	PUNCT
easat-5993	355	1	available	available	ADJ
easat-5993	355	2	:	:	PUNCT
easat-5993	356	1	https://www.ncbi.nlm.nih.gov/books/nbk554776/	https://www.ncbi.nlm.nih.gov/books/nbk554776/	NOUN
easat-5993	357	1	[	[	X
easat-5993	357	2	6	6	NUM
easat-5993	357	3	]	]	X
easat-5993	357	4	american	american	PROPN
easat-5993	357	5	college	college	PROPN
easat-5993	357	6	of	of	ADP
easat-5993	357	7	radiology	radiology	NOUN
easat-5993	357	8	,	,	PUNCT
easat-5993	357	9	"	"	PUNCT
easat-5993	357	10	recommendations	recommendation	NOUN
easat-5993	357	11	for	for	ADP
easat-5993	357	12	the	the	DET
easat-5993	357	13	use	use	NOUN
easat-5993	357	14	of	of	ADP
easat-5993	357	15	chest	chest	NOUN
easat-5993	357	16	radiography	radiography	NOUN
easat-5993	357	17	and	and	CCONJ
easat-5993	357	18	computed	compute	VERB
easat-5993	357	19	tomography	tomography	NOUN
easat-5993	357	20	(	(	PUNCT
easat-5993	357	21	ct	ct	NOUN
easat-5993	357	22	)	)	PUNCT
easat-5993	357	23	for	for	ADP
easat-5993	357	24	suspected	suspect	VERB
easat-5993	357	25	covid-19	covid-19	PROPN
easat-5993	357	26	infection	infection	NOUN
easat-5993	357	27	,	,	PUNCT
easat-5993	357	28	"	"	PUNCT
easat-5993	357	29	acr	acr	NOUN
easat-5993	357	30	position	position	NOUN
easat-5993	357	31	statement	statement	NOUN
easat-5993	357	32	,	,	PUNCT
easat-5993	357	33	"	"	PUNCT
easat-5993	357	34	2020	2020	NUM
easat-5993	357	35	.	.	PUNCT
easat-5993	358	1	[	[	X
easat-5993	358	2	online	online	X
easat-5993	358	3	]	]	X
easat-5993	358	4	.	.	PUNCT
easat-5993	359	1	available	available	ADJ
easat-5993	359	2	:	:	PUNCT
easat-5993	359	3	https://www.acr.org/advocacy-and-economics/acr-position-statements/recommendations-for-chestradiography-and-ct-for-suspected-covid19-infection	https://www.acr.org/advocacy-and-economics/acr-position-statements/recommendations-for-chestradiography-and-ct-for-suspected-covid19-infection	NOUN
easat-5993	359	4	[	[	X
easat-5993	359	5	7	7	X
easat-5993	359	6	]	]	X
easat-5993	359	7	h.	h.	PROPN
easat-5993	359	8	y.	y.	PROPN
easat-5993	359	9	f.	f.	PROPN
easat-5993	359	10	wong	wong	PROPN
easat-5993	359	11	et	et	PROPN
easat-5993	359	12	al	al	PROPN
easat-5993	359	13	.	.	PROPN
easat-5993	359	14	,	,	PUNCT
easat-5993	359	15	"	"	PUNCT
easat-5993	359	16	frequency	frequency	NOUN
easat-5993	359	17	and	and	CCONJ
easat-5993	359	18	distribution	distribution	NOUN
easat-5993	359	19	of	of	ADP
easat-5993	359	20	chest	chest	ADJ
easat-5993	359	21	radiographic	radiographic	ADJ
easat-5993	359	22	findings	finding	NOUN
easat-5993	359	23	in	in	ADP
easat-5993	359	24	patients	patient	NOUN
easat-5993	359	25	positive	positive	ADJ
easat-5993	359	26	for	for	ADP
easat-5993	359	27	covid-19	covid-19	PROPN
easat-5993	359	28	,	,	PUNCT
easat-5993	359	29	"	"	PUNCT
easat-5993	359	30	radiology	radiology	NOUN
easat-5993	359	31	,	,	PUNCT
easat-5993	359	32	vol	vol	NOUN
easat-5993	359	33	.	.	PROPN
easat-5993	359	34	296	296	NUM
easat-5993	359	35	,	,	PUNCT
easat-5993	359	36	no	no	INTJ
easat-5993	359	37	.	.	NOUN
easat-5993	359	38	2	2	NUM
easat-5993	359	39	,	,	PUNCT
easat-5993	359	40	pp	pp	PROPN
easat-5993	359	41	.	.	PUNCT
easat-5993	360	1	e72	e72	PROPN
easat-5993	360	2	-	-	PUNCT
easat-5993	360	3	e78	e78	NOUN
easat-5993	360	4	,	,	PUNCT
easat-5993	360	5	2020	2020	NUM
easat-5993	360	6	,	,	PUNCT
easat-5993	360	7	doi	doi	NOUN
easat-5993	360	8	:	:	PUNCT
easat-5993	360	9	https://doi.org/10.1148/radiol.2020201160	https://doi.org/10.1148/radiol.2020201160	ADJ
easat-5993	360	10	.	.	PUNCT
easat-5993	361	1	[	[	X
easat-5993	361	2	8	8	X
easat-5993	361	3	]	]	PUNCT
easat-5993	361	4	s.	s.	PROPN
easat-5993	361	5	cho	cho	PROPN
easat-5993	361	6	et	et	PROPN
easat-5993	361	7	al	al	PROPN
easat-5993	361	8	.	.	PROPN
easat-5993	361	9	,	,	PUNCT
easat-5993	361	10	"	"	PUNCT
easat-5993	361	11	enhancement	enhancement	NOUN
easat-5993	361	12	of	of	ADP
easat-5993	361	13	soft	soft	ADJ
easat-5993	361	14	-	-	PUNCT
easat-5993	361	15	tissue	tissue	NOUN
easat-5993	361	16	contrast	contrast	NOUN
easat-5993	361	17	in	in	ADP
easat-5993	361	18	cone	cone	NOUN
easat-5993	361	19	-	-	PUNCT
easat-5993	361	20	beam	beam	NOUN
easat-5993	361	21	ct	ct	NOUN
easat-5993	361	22	using	use	VERB
easat-5993	361	23	an	an	DET
easat-5993	361	24	anti	anti	ADJ
easat-5993	361	25	-	-	ADJ
easat-5993	361	26	scatter	scatter	ADJ
easat-5993	361	27	grid	grid	NOUN
easat-5993	361	28	with	with	ADP
easat-5993	361	29	a	a	DET
easat-5993	361	30	sparse	sparse	ADJ
easat-5993	361	31	sampling	sampling	NOUN
easat-5993	361	32	approach	approach	NOUN
easat-5993	361	33	,	,	PUNCT
easat-5993	361	34	"	"	PUNCT
easat-5993	361	35	physica	physica	PROPN
easat-5993	361	36	medica	medica	PROPN
easat-5993	361	37	,	,	PUNCT
easat-5993	361	38	vol	vol	NOUN
easat-5993	361	39	.	.	PROPN
easat-5993	361	40	70	70	NUM
easat-5993	361	41	,	,	PUNCT
easat-5993	361	42	pp	pp	ADJ
easat-5993	361	43	.	.	PUNCT
easat-5993	362	1	1	1	NUM
easat-5993	362	2	-	-	SYM
easat-5993	362	3	9	9	NUM
easat-5993	362	4	,	,	PUNCT
easat-5993	362	5	2020	2020	NUM
easat-5993	362	6	.	.	PUNCT
easat-5993	363	1	[	[	X
easat-5993	363	2	9	9	NUM
easat-5993	363	3	]	]	PUNCT
easat-5993	363	4	j.	j.	PROPN
easat-5993	363	5	fu	fu	PROPN
easat-5993	363	6	,	,	PUNCT
easat-5993	363	7	j.	j.	PROPN
easat-5993	363	8	wang	wang	PROPN
easat-5993	363	9	,	,	PUNCT
easat-5993	363	10	w.	w.	PROPN
easat-5993	363	11	guo	guo	PROPN
easat-5993	363	12	,	,	PUNCT
easat-5993	363	13	and	and	CCONJ
easat-5993	363	14	p.	p.	PROPN
easat-5993	363	15	peng	peng	PROPN
easat-5993	363	16	,	,	PUNCT
easat-5993	363	17	"	"	PUNCT
easat-5993	363	18	multi	multi	ADJ
easat-5993	363	19	-	-	ADJ
easat-5993	363	20	mounted	mounted	ADJ
easat-5993	363	21	x	x	NOUN
easat-5993	363	22	-	-	NOUN
easat-5993	363	23	ray	ray	NOUN
easat-5993	363	24	cone	cone	NOUN
easat-5993	363	25	-	-	PUNCT
easat-5993	363	26	beam	beam	NOUN
easat-5993	363	27	computed	compute	VERB
easat-5993	363	28	tomography	tomography	NOUN
easat-5993	363	29	,	,	PUNCT
easat-5993	363	30	"	"	PUNCT
easat-5993	363	31	nuclear	nuclear	ADJ
easat-5993	363	32	instruments	instrument	NOUN
easat-5993	363	33	and	and	CCONJ
easat-5993	363	34	methods	method	NOUN
easat-5993	363	35	in	in	ADP
easat-5993	363	36	physics	physics	NOUN
easat-5993	363	37	research	research	PROPN
easat-5993	363	38	section	section	PROPN
easat-5993	363	39	a	a	PRON
easat-5993	363	40	,	,	PUNCT
easat-5993	363	41	vol	vol	NOUN
easat-5993	363	42	.	.	NOUN
easat-5993	363	43	888	888	NUM
easat-5993	363	44	,	,	PUNCT
easat-5993	363	45	pp	pp	ADJ
easat-5993	363	46	.	.	PUNCT
easat-5993	364	1	119–125	119–125	NUM
easat-5993	364	2	,	,	PUNCT
easat-5993	364	3	2018	2018	NUM
easat-5993	364	4	,	,	PUNCT
easat-5993	364	5	doi	doi	NOUN
easat-5993	364	6	:	:	PUNCT
easat-5993	364	7	https://doi.org/10.1016/j.nima.2018.01.074	https://doi.org/10.1016/j.nima.2018.01.074	PROPN
easat-5993	364	8	.	.	PUNCT
easat-5993	365	1	[	[	X
easat-5993	365	2	10	10	NUM
easat-5993	365	3	]	]	X
easat-5993	365	4	p.	p.	NOUN
easat-5993	365	5	m.	m.	PROPN
easat-5993	365	6	shakeel	shakeel	PROPN
easat-5993	365	7	,	,	PUNCT
easat-5993	365	8	m.	m.	NOUN
easat-5993	365	9	burhanuddin	burhanuddin	NOUN
easat-5993	365	10	,	,	PUNCT
easat-5993	365	11	and	and	CCONJ
easat-5993	365	12	m.	m.	PROPN
easat-5993	365	13	i.	i.	PROPN
easat-5993	365	14	desa	desa	PROPN
easat-5993	365	15	,	,	PUNCT
easat-5993	365	16	"	"	PUNCT
easat-5993	365	17	automatic	automatic	ADJ
easat-5993	365	18	lung	lung	NOUN
easat-5993	365	19	cancer	cancer	NOUN
easat-5993	365	20	detection	detection	NOUN
easat-5993	365	21	from	from	ADP
easat-5993	365	22	ct	ct	NUM
easat-5993	365	23	image	image	NOUN
easat-5993	365	24	using	use	VERB
easat-5993	365	25	improved	improve	VERB
easat-5993	365	26	deep	deep	ADJ
easat-5993	365	27	neural	neural	ADJ
easat-5993	365	28	network	network	NOUN
easat-5993	365	29	and	and	CCONJ
easat-5993	365	30	ensemble	ensemble	ADJ
easat-5993	365	31	classifier	classifier	NOUN
easat-5993	365	32	,	,	PUNCT
easat-5993	365	33	"	"	PUNCT
easat-5993	365	34	neural	neural	ADJ
easat-5993	365	35	computing	computing	NOUN
easat-5993	365	36	and	and	CCONJ
easat-5993	365	37	applications	application	NOUN
easat-5993	365	38	,	,	PUNCT
easat-5993	365	39	pp	pp	ADJ
easat-5993	365	40	.	.	PUNCT
easat-5993	366	1	1	1	NUM
easat-5993	366	2	-	-	SYM
easat-5993	366	3	14	14	NUM
easat-5993	366	4	,	,	PUNCT
easat-5993	366	5	2022	2022	NUM
easat-5993	366	6	.	.	PUNCT
easat-5993	367	1	[	[	X
easat-5993	367	2	11	11	NUM
easat-5993	367	3	]	]	PUNCT
easat-5993	367	4	k.	k.	PROPN
easat-5993	367	5	ye	ye	PROPN
easat-5993	367	6	,	,	PUNCT
easat-5993	367	7	q.	q.	PROPN
easat-5993	367	8	zhu	zhu	PROPN
easat-5993	367	9	,	,	PUNCT
easat-5993	367	10	m.	m.	PROPN
easat-5993	367	11	li	li	PROPN
easat-5993	367	12	,	,	PUNCT
easat-5993	367	13	y.	y.	PROPN
easat-5993	367	14	lu	lu	PROPN
easat-5993	367	15	,	,	PUNCT
easat-5993	367	16	and	and	CCONJ
easat-5993	367	17	h.	h.	PROPN
easat-5993	367	18	yuan	yuan	PROPN
easat-5993	367	19	,	,	PUNCT
easat-5993	367	20	"	"	PUNCT
easat-5993	367	21	a	a	DET
easat-5993	367	22	feasibility	feasibility	NOUN
easat-5993	367	23	study	study	NOUN
easat-5993	367	24	of	of	ADP
easat-5993	367	25	pulmonary	pulmonary	ADJ
easat-5993	367	26	nodule	nodule	NOUN
easat-5993	367	27	detection	detection	NOUN
easat-5993	367	28	by	by	ADP
easat-5993	367	29	ultralow	ultralow	NOUN
easat-5993	367	30	-	-	PUNCT
easat-5993	367	31	dose	dose	VERB
easat-5993	367	32	ct	ct	NUM
easat-5993	367	33	with	with	ADP
easat-5993	367	34	adaptive	adaptive	ADJ
easat-5993	367	35	statistical	statistical	ADJ
easat-5993	367	36	iterative	iterative	NOUN
easat-5993	367	37	reconstruction	reconstruction	NOUN
easat-5993	367	38	-	-	PUNCT
easat-5993	367	39	v	v	NOUN
easat-5993	367	40	technique	technique	NOUN
easat-5993	367	41	,	,	PUNCT
easat-5993	367	42	"	"	PUNCT
easat-5993	367	43	european	european	ADJ
easat-5993	367	44	journal	journal	PROPN
easat-5993	367	45	of	of	ADP
easat-5993	367	46	radiology	radiology	NOUN
easat-5993	367	47	,	,	PUNCT
easat-5993	367	48	vol	vol	NOUN
easat-5993	367	49	.	.	PROPN
easat-5993	367	50	119	119	NUM
easat-5993	367	51	,	,	PUNCT
easat-5993	367	52	p.	p.	NOUN
easat-5993	367	53	108652	108652	NUM
easat-5993	367	54	,	,	PUNCT
easat-5993	367	55	2019	2019	NUM
easat-5993	367	56	.	.	PUNCT
easat-5993	368	1	[	[	X
easat-5993	368	2	12	12	NUM
easat-5993	368	3	]	]	X
easat-5993	368	4	n.	n.	NOUN
easat-5993	368	5	maleki	maleki	NOUN
easat-5993	368	6	,	,	PUNCT
easat-5993	368	7	y.	y.	PROPN
easat-5993	368	8	zeinali	zeinali	PROPN
easat-5993	368	9	,	,	PUNCT
easat-5993	368	10	and	and	CCONJ
easat-5993	368	11	s.	s.	PROPN
easat-5993	368	12	t.	t.	PROPN
easat-5993	368	13	a.	a.	PROPN
easat-5993	368	14	niaki	niaki	PROPN
easat-5993	368	15	,	,	PUNCT
easat-5993	368	16	"	"	PUNCT
easat-5993	368	17	a	a	DET
easat-5993	368	18	k	k	PROPN
easat-5993	368	19	-	-	PUNCT
easat-5993	368	20	nn	nn	ADJ
easat-5993	368	21	method	method	NOUN
easat-5993	368	22	for	for	ADP
easat-5993	368	23	lung	lung	NOUN
easat-5993	368	24	cancer	cancer	NOUN
easat-5993	368	25	prognosis	prognosis	NOUN
easat-5993	368	26	with	with	ADP
easat-5993	368	27	the	the	DET
easat-5993	368	28	use	use	NOUN
easat-5993	368	29	of	of	ADP
easat-5993	368	30	a	a	DET
easat-5993	368	31	genetic	genetic	ADJ
easat-5993	368	32	algorithm	algorithm	NOUN
easat-5993	368	33	for	for	ADP
easat-5993	368	34	feature	feature	NOUN
easat-5993	368	35	selection	selection	NOUN
easat-5993	368	36	,	,	PUNCT
easat-5993	368	37	"	"	PUNCT
easat-5993	368	38	expert	expert	NOUN
easat-5993	368	39	systems	system	NOUN
easat-5993	368	40	with	with	ADP
easat-5993	368	41	applications	application	NOUN
easat-5993	368	42	,	,	PUNCT
easat-5993	368	43	vol	vol	NOUN
easat-5993	368	44	.	.	NOUN
easat-5993	368	45	164	164	NUM
easat-5993	368	46	,	,	PUNCT
easat-5993	368	47	p.	p.	NOUN
easat-5993	368	48	113981	113981	NUM
easat-5993	368	49	,	,	PUNCT
easat-5993	368	50	2021	2021	NUM
easat-5993	368	51	.	.	PUNCT
easat-5993	369	1	[	[	X
easat-5993	369	2	13	13	NUM
easat-5993	369	3	]	]	PUNCT
easat-5993	369	4	q.	q.	PROPN
easat-5993	369	5	al	al	PROPN
easat-5993	369	6	-	-	PUNCT
easat-5993	369	7	tashi	tashi	PROPN
easat-5993	369	8	,	,	PUNCT
easat-5993	369	9	s.	s.	PROPN
easat-5993	369	10	j.	j.	PROPN
easat-5993	369	11	a.	a.	PROPN
easat-5993	369	12	kadir	kadir	PROPN
easat-5993	369	13	,	,	PUNCT
easat-5993	369	14	h.	h.	PROPN
easat-5993	369	15	m.	m.	PROPN
easat-5993	369	16	rais	rais	PROPN
easat-5993	369	17	,	,	PUNCT
easat-5993	369	18	s.	s.	PROPN
easat-5993	369	19	mirjalili	mirjalili	PROPN
easat-5993	369	20	,	,	PUNCT
easat-5993	369	21	and	and	CCONJ
easat-5993	369	22	h.	h.	PROPN
easat-5993	369	23	alhussian	alhussian	PROPN
easat-5993	369	24	,	,	PUNCT
easat-5993	369	25	"	"	PUNCT
easat-5993	369	26	binary	binary	ADJ
easat-5993	369	27	optimization	optimization	NOUN
easat-5993	369	28	using	use	VERB
easat-5993	369	29	hybrid	hybrid	ADJ
easat-5993	369	30	grey	grey	NOUN
easat-5993	369	31	wolf	wolf	PROPN
easat-5993	369	32	optimization	optimization	NOUN
easat-5993	369	33	for	for	ADP
easat-5993	369	34	feature	feature	NOUN
easat-5993	369	35	selection	selection	NOUN
easat-5993	369	36	,	,	PUNCT
easat-5993	369	37	"	"	PUNCT
easat-5993	369	38	ieee	ieee	NOUN
easat-5993	369	39	access	access	NOUN
easat-5993	369	40	,	,	PUNCT
easat-5993	369	41	vol	vol	NOUN
easat-5993	369	42	.	.	PROPN
easat-5993	370	1	7	7	NUM
easat-5993	370	2	,	,	PUNCT
easat-5993	370	3	pp	pp	ADJ
easat-5993	370	4	.	.	PUNCT
easat-5993	371	1	39496	39496	NUM
easat-5993	371	2	-	-	SYM
easat-5993	371	3	39508	39508	NUM
easat-5993	371	4	,	,	PUNCT
easat-5993	371	5	2019	2019	NUM
easat-5993	371	6	.	.	PUNCT
easat-5993	372	1	[	[	X
easat-5993	372	2	14	14	NUM
easat-5993	372	3	]	]	X
easat-5993	372	4	f.	f.	PROPN
easat-5993	372	5	a.	a.	PROPN
easat-5993	372	6	şenel	şenel	PROPN
easat-5993	372	7	,	,	PUNCT
easat-5993	372	8	f.	f.	PROPN
easat-5993	372	9	gökçe	gökçe	PROPN
easat-5993	372	10	,	,	PUNCT
easat-5993	372	11	a.	a.	PROPN
easat-5993	372	12	s.	s.	PROPN
easat-5993	372	13	yüksel	yüksel	PROPN
easat-5993	372	14	,	,	PUNCT
easat-5993	372	15	and	and	CCONJ
easat-5993	372	16	t.	t.	PROPN
easat-5993	372	17	yiğit	yiğit	PROPN
easat-5993	372	18	,	,	PUNCT
easat-5993	372	19	"	"	PUNCT
easat-5993	372	20	a	a	DET
easat-5993	372	21	novel	novel	ADJ
easat-5993	372	22	hybrid	hybrid	ADJ
easat-5993	372	23	pso	pso	NOUN
easat-5993	372	24	–	–	PUNCT
easat-5993	372	25	gwo	gwo	NOUN
easat-5993	372	26	algorithm	algorithm	NOUN
easat-5993	372	27	for	for	ADP
easat-5993	372	28	optimization	optimization	NOUN
easat-5993	372	29	problems	problem	NOUN
easat-5993	372	30	,	,	PUNCT
easat-5993	372	31	"	"	PUNCT
easat-5993	372	32	engineering	engineering	NOUN
easat-5993	372	33	with	with	ADP
easat-5993	372	34	computers	computer	NOUN
easat-5993	372	35	,	,	PUNCT
easat-5993	372	36	vol	vol	NOUN
easat-5993	372	37	.	.	PROPN
easat-5993	372	38	35	35	NUM
easat-5993	372	39	,	,	PUNCT
easat-5993	372	40	pp	pp	ADJ
easat-5993	372	41	.	.	PUNCT
easat-5993	373	1	1359	1359	NUM
easat-5993	373	2	-	-	SYM
easat-5993	373	3	1373	1373	NUM
easat-5993	373	4	,	,	PUNCT
easat-5993	373	5	2019	2019	NUM
easat-5993	373	6	.	.	PUNCT
easat-5993	374	1	[	[	X
easat-5993	374	2	15	15	NUM
easat-5993	374	3	]	]	X
easat-5993	374	4	s.	s.	PROPN
easat-5993	374	5	h.	h.	PROPN
easat-5993	374	6	s.	s.	PROPN
easat-5993	374	7	moosavi	moosavi	PROPN
easat-5993	374	8	and	and	CCONJ
easat-5993	374	9	v.	v.	PROPN
easat-5993	374	10	k.	k.	PROPN
easat-5993	374	11	bardsiri	bardsiri	PROPN
easat-5993	374	12	,	,	PUNCT
easat-5993	374	13	"	"	PUNCT
easat-5993	374	14	satin	satin	NOUN
easat-5993	374	15	bowerbird	bowerbird	NOUN
easat-5993	374	16	optimizer	optimizer	NOUN
easat-5993	374	17	:	:	PUNCT
easat-5993	374	18	a	a	DET
easat-5993	374	19	new	new	ADJ
easat-5993	374	20	optimization	optimization	NOUN
easat-5993	374	21	algorithm	algorithm	NOUN
easat-5993	374	22	to	to	PART
easat-5993	374	23	optimize	optimize	VERB
easat-5993	374	24	anfis	anfis	PROPN
easat-5993	374	25	for	for	ADP
easat-5993	374	26	software	software	NOUN
easat-5993	374	27	development	development	NOUN
easat-5993	374	28	effort	effort	NOUN
easat-5993	374	29	estimation	estimation	NOUN
easat-5993	374	30	,	,	PUNCT
easat-5993	374	31	"	"	PUNCT
easat-5993	374	32	engineering	engineering	NOUN
easat-5993	374	33	applications	application	NOUN
easat-5993	374	34	of	of	ADP
easat-5993	374	35	artificial	artificial	ADJ
easat-5993	374	36	intelligence	intelligence	NOUN
easat-5993	374	37	,	,	PUNCT
easat-5993	374	38	vol	vol	NOUN
easat-5993	374	39	.	.	PROPN
easat-5993	374	40	60	60	NUM
easat-5993	374	41	,	,	PUNCT
easat-5993	374	42	pp	pp	ADJ
easat-5993	374	43	.	.	PUNCT
easat-5993	375	1	1	1	NUM
easat-5993	375	2	-	-	SYM
easat-5993	375	3	15	15	NUM
easat-5993	375	4	,	,	PUNCT
easat-5993	375	5	2017	2017	NUM
easat-5993	375	6	.	.	PUNCT
easat-5993	376	1	[	[	X
easat-5993	376	2	16	16	NUM
easat-5993	376	3	]	]	X
easat-5993	376	4	d.	d.	PROPN
easat-5993	376	5	simon	simon	PROPN
easat-5993	376	6	,	,	PUNCT
easat-5993	376	7	"	"	PUNCT
easat-5993	376	8	biogeography	biogeography	NOUN
easat-5993	376	9	-	-	PUNCT
easat-5993	376	10	based	base	VERB
easat-5993	376	11	optimization	optimization	NOUN
easat-5993	376	12	,	,	PUNCT
easat-5993	376	13	"	"	PUNCT
easat-5993	376	14	ieee	ieee	NOUN
easat-5993	376	15	transactions	transaction	NOUN
easat-5993	376	16	on	on	ADP
easat-5993	376	17	evolutionary	evolutionary	ADJ
easat-5993	376	18	computation	computation	NOUN
easat-5993	376	19	,	,	PUNCT
easat-5993	376	20	vol	vol	NOUN
easat-5993	376	21	.	.	PROPN
easat-5993	376	22	12	12	NUM
easat-5993	376	23	,	,	PUNCT
easat-5993	376	24	no	no	INTJ
easat-5993	376	25	.	.	NOUN
easat-5993	376	26	6	6	NUM
easat-5993	376	27	,	,	PUNCT
easat-5993	376	28	pp	pp	ADJ
easat-5993	376	29	.	.	PUNCT
easat-5993	376	30	702713	702713	NUM
easat-5993	376	31	,	,	PUNCT
easat-5993	376	32	2008	2008	NUM
easat-5993	376	33	.	.	PUNCT
easat-5993	377	1	[	[	X
easat-5993	377	2	17	17	NUM
easat-5993	377	3	]	]	X
easat-5993	377	4	g.	g.	PROPN
easat-5993	377	5	yildizdan	yildizdan	PROPN
easat-5993	377	6	and	and	CCONJ
easat-5993	377	7	ö.	ö.	PROPN
easat-5993	377	8	k.	k.	PROPN
easat-5993	377	9	baykan	baykan	PROPN
easat-5993	377	10	,	,	PUNCT
easat-5993	377	11	"	"	PUNCT
easat-5993	377	12	a	a	DET
easat-5993	377	13	novel	novel	ADJ
easat-5993	377	14	modified	modify	VERB
easat-5993	377	15	bat	bat	NOUN
easat-5993	377	16	algorithm	algorithm	NOUN
easat-5993	377	17	hybridizing	hybridize	VERB
easat-5993	377	18	by	by	ADP
easat-5993	377	19	differential	differential	ADJ
easat-5993	377	20	evolution	evolution	NOUN
easat-5993	377	21	algorithm	algorithm	NOUN
easat-5993	377	22	,	,	PUNCT
easat-5993	377	23	"	"	PUNCT
easat-5993	377	24	expert	expert	NOUN
easat-5993	377	25	systems	system	NOUN
easat-5993	377	26	with	with	ADP
easat-5993	377	27	applications	application	NOUN
easat-5993	377	28	,	,	PUNCT
easat-5993	377	29	vol	vol	NOUN
easat-5993	377	30	.	.	PROPN
easat-5993	377	31	141	141	NUM
easat-5993	377	32	,	,	PUNCT
easat-5993	377	33	p.	p.	NOUN
easat-5993	377	34	112949	112949	NUM
easat-5993	377	35	,	,	PUNCT
easat-5993	377	36	2020	2020	NUM
easat-5993	377	37	.	.	PUNCT
easat-5993	378	1	[	[	X
easat-5993	378	2	18	18	NUM
easat-5993	378	3	]	]	X
easat-5993	378	4	f.	f.	PROPN
easat-5993	378	5	miarnaeimi	miarnaeimi	PROPN
easat-5993	378	6	,	,	PUNCT
easat-5993	378	7	g.	g.	PROPN
easat-5993	378	8	azizyan	azizyan	PROPN
easat-5993	378	9	,	,	PUNCT
easat-5993	378	10	and	and	CCONJ
easat-5993	378	11	m.	m.	PROPN
easat-5993	378	12	rashki	rashki	PROPN
easat-5993	378	13	,	,	PUNCT
easat-5993	378	14	"	"	PUNCT
easat-5993	378	15	horse	horse	NOUN
easat-5993	378	16	herd	herd	NOUN
easat-5993	378	17	optimization	optimization	NOUN
easat-5993	378	18	algorithm	algorithm	NOUN
easat-5993	378	19	:	:	PUNCT
easat-5993	378	20	a	a	DET
easat-5993	378	21	nature	nature	NOUN
easat-5993	378	22	-	-	PUNCT
easat-5993	378	23	inspired	inspire	VERB
easat-5993	378	24	algorithm	algorithm	NOUN
easat-5993	378	25	for	for	ADP
easat-5993	378	26	high	high	ADJ
easat-5993	378	27	-	-	PUNCT
easat-5993	378	28	dimensional	dimensional	ADJ
easat-5993	378	29	optimization	optimization	NOUN
easat-5993	378	30	problems	problem	NOUN
easat-5993	378	31	,	,	PUNCT
easat-5993	378	32	"	"	PUNCT
easat-5993	378	33	knowledge	knowledge	NOUN
easat-5993	378	34	-	-	PUNCT
easat-5993	378	35	based	base	VERB
easat-5993	378	36	systems	system	NOUN
easat-5993	378	37	,	,	PUNCT
easat-5993	378	38	vol	vol	NOUN
easat-5993	378	39	.	.	NOUN
easat-5993	378	40	213	213	NUM
easat-5993	378	41	,	,	PUNCT
easat-5993	378	42	p.	p.	NOUN
easat-5993	378	43	106711	106711	NUM
easat-5993	378	44	,	,	PUNCT
easat-5993	378	45	2021	2021	NUM
easat-5993	378	46	.	.	PUNCT
easat-5993	379	1	[	[	X
easat-5993	379	2	19	19	NUM
easat-5993	379	3	]	]	PUNCT
easat-5993	379	4	m.	m.	NOUN
easat-5993	379	5	ragab	ragab	PROPN
easat-5993	379	6	,	,	PUNCT
easat-5993	379	7	s.	s.	PROPN
easat-5993	379	8	alshehri	alshehri	PROPN
easat-5993	379	9	,	,	PUNCT
easat-5993	379	10	n.	n.	PROPN
easat-5993	379	11	a.	a.	PROPN
easat-5993	379	12	alhakamy	alhakamy	PROPN
easat-5993	379	13	,	,	PUNCT
easat-5993	379	14	r.	r.	PROPN
easat-5993	379	15	f.	f.	PROPN
easat-5993	379	16	mansour	mansour	PROPN
easat-5993	379	17	,	,	PUNCT
easat-5993	379	18	and	and	CCONJ
easat-5993	379	19	d.	d.	PROPN
easat-5993	379	20	koundal	koundal	PROPN
easat-5993	379	21	,	,	PUNCT
easat-5993	379	22	"	"	PUNCT
easat-5993	379	23	multiclass	multiclass	ADJ
easat-5993	379	24	classification	classification	NOUN
easat-5993	379	25	of	of	ADP
easat-5993	379	26	chest	chest	NOUN
easat-5993	379	27	x‐ray	x‐ray	ADJ
easat-5993	379	28	images	image	NOUN
easat-5993	379	29	for	for	ADP
easat-5993	379	30	the	the	DET
easat-5993	379	31	prediction	prediction	NOUN
easat-5993	379	32	of	of	ADP
easat-5993	379	33	covid‐19	covid‐19	PROPN
easat-5993	379	34	using	use	VERB
easat-5993	379	35	capsule	capsule	NOUN
easat-5993	379	36	network	network	NOUN
easat-5993	379	37	,	,	PUNCT
easat-5993	379	38	"	"	PUNCT
easat-5993	379	39	computational	computational	ADJ
easat-5993	379	40	intelligence	intelligence	NOUN
easat-5993	379	41	and	and	CCONJ
easat-5993	379	42	neuroscience	neuroscience	NOUN
easat-5993	379	43	,	,	PUNCT
easat-5993	379	44	vol	vol	NOUN
easat-5993	379	45	.	.	NOUN
easat-5993	379	46	2022	2022	NUM
easat-5993	379	47	,	,	PUNCT
easat-5993	379	48	no	no	INTJ
easat-5993	379	49	.	.	NOUN
easat-5993	379	50	1	1	NUM
easat-5993	379	51	,	,	PUNCT
easat-5993	379	52	p.	p.	NOUN
easat-5993	379	53	6185013	6185013	NUM
easat-5993	379	54	,	,	PUNCT
easat-5993	379	55	2022	2022	NUM
easat-5993	379	56	.	.	PUNCT
easat-5993	380	1	[	[	X
easat-5993	380	2	20	20	NUM
easat-5993	380	3	]	]	X
easat-5993	380	4	e.	e.	PROPN
easat-5993	380	5	ranschaert	ranschaert	PROPN
easat-5993	380	6	,	,	PUNCT
easat-5993	380	7	l.	l.	PROPN
easat-5993	380	8	topff	topff	PROPN
easat-5993	380	9	,	,	PUNCT
easat-5993	380	10	and	and	CCONJ
easat-5993	380	11	o.	o.	PROPN
easat-5993	380	12	pianykh	pianykh	PROPN
easat-5993	380	13	,	,	PUNCT
easat-5993	380	14	"	"	PUNCT
easat-5993	380	15	optimization	optimization	NOUN
easat-5993	380	16	of	of	ADP
easat-5993	380	17	radiology	radiology	NOUN
easat-5993	380	18	workflow	workflow	NOUN
easat-5993	380	19	with	with	ADP
easat-5993	380	20	artificial	artificial	ADJ
easat-5993	380	21	intelligence	intelligence	NOUN
easat-5993	380	22	,	,	PUNCT
easat-5993	380	23	"	"	PUNCT
easat-5993	380	24	radiologic	radiologic	ADJ
easat-5993	380	25	clinics	clinic	NOUN
easat-5993	380	26	,	,	PUNCT
easat-5993	380	27	vol	vol	NOUN
easat-5993	380	28	.	.	PROPN
easat-5993	380	29	59	59	NUM
easat-5993	380	30	,	,	PUNCT
easat-5993	380	31	no	no	INTJ
easat-5993	380	32	.	.	NOUN
easat-5993	380	33	6	6	NUM
easat-5993	380	34	,	,	PUNCT
easat-5993	380	35	pp	pp	ADJ
easat-5993	380	36	.	.	PUNCT
easat-5993	381	1	955	955	NUM
easat-5993	381	2	-	-	SYM
easat-5993	381	3	966	966	NUM
easat-5993	381	4	,	,	PUNCT
easat-5993	381	5	2021	2021	NUM
easat-5993	381	6	.	.	PUNCT
easat-5993	382	1	[	[	X
easat-5993	382	2	21	21	NUM
easat-5993	382	3	]	]	X
easat-5993	382	4	s.	s.	PROPN
easat-5993	382	5	anjum	anjum	PROPN
easat-5993	382	6	et	et	PROPN
easat-5993	382	7	al	al	PROPN
easat-5993	382	8	.	.	PROPN
easat-5993	382	9	,	,	PUNCT
easat-5993	382	10	"	"	PUNCT
easat-5993	382	11	detecting	detect	VERB
easat-5993	382	12	brain	brain	NOUN
easat-5993	382	13	tumors	tumor	NOUN
easat-5993	382	14	using	use	VERB
easat-5993	382	15	deep	deep	ADJ
easat-5993	382	16	learning	learn	VERB
easat-5993	382	17	convolutional	convolutional	ADJ
easat-5993	382	18	neural	neural	ADJ
easat-5993	382	19	network	network	NOUN
easat-5993	382	20	with	with	ADP
easat-5993	382	21	transfer	transfer	NOUN
easat-5993	382	22	learning	learning	NOUN
easat-5993	382	23	approach	approach	NOUN
easat-5993	382	24	,	,	PUNCT
easat-5993	382	25	"	"	PUNCT
easat-5993	382	26	international	international	ADJ
easat-5993	382	27	journal	journal	NOUN
easat-5993	382	28	of	of	ADP
easat-5993	382	29	imaging	imaging	NOUN
easat-5993	382	30	systems	system	NOUN
easat-5993	382	31	and	and	CCONJ
easat-5993	382	32	technology	technology	NOUN
easat-5993	382	33	,	,	PUNCT
easat-5993	382	34	vol	vol	NOUN
easat-5993	382	35	.	.	PROPN
easat-5993	382	36	32	32	NUM
easat-5993	382	37	,	,	PUNCT
easat-5993	382	38	no	no	INTJ
easat-5993	382	39	.	.	NOUN
easat-5993	382	40	1	1	NUM
easat-5993	382	41	,	,	PUNCT
easat-5993	382	42	pp	pp	ADJ
easat-5993	382	43	.	.	PUNCT
easat-5993	382	44	307	307	NUM
easat-5993	382	45	-	-	SYM
easat-5993	382	46	323	323	NUM
easat-5993	382	47	,	,	PUNCT
easat-5993	382	48	2022	2022	NUM
easat-5993	382	49	.	.	PUNCT
easat-5993	383	1	[	[	X
easat-5993	383	2	22	22	NUM
easat-5993	383	3	]	]	PUNCT
easat-5993	383	4	x.	x.	PROPN
easat-5993	383	5	zhang	zhang	PROPN
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easat-5993	383	7	j.	j.	PROPN
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easat-5993	383	9	,	,	PUNCT
easat-5993	383	10	k.	k.	PROPN
easat-5993	383	11	he	he	PRON
easat-5993	383	12	,	,	PUNCT
easat-5993	383	13	and	and	CCONJ
easat-5993	383	14	j.	j.	PROPN
easat-5993	383	15	sun	sun	PROPN
easat-5993	383	16	,	,	PUNCT
easat-5993	383	17	"	"	PUNCT
easat-5993	383	18	accelerating	accelerate	VERB
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easat-5993	383	21	convolutional	convolutional	ADJ
easat-5993	383	22	networks	network	NOUN
easat-5993	383	23	for	for	ADP
easat-5993	383	24	classification	classification	NOUN
easat-5993	383	25	and	and	CCONJ
easat-5993	383	26	detection	detection	NOUN
easat-5993	383	27	,	,	PUNCT
easat-5993	383	28	"	"	PUNCT
easat-5993	383	29	ieee	ieee	NOUN
easat-5993	383	30	transactions	transaction	NOUN
easat-5993	383	31	on	on	ADP
easat-5993	383	32	pattern	pattern	NOUN
easat-5993	383	33	analysis	analysis	NOUN
easat-5993	383	34	and	and	CCONJ
easat-5993	383	35	machine	machine	NOUN
easat-5993	383	36	intelligence	intelligence	NOUN
easat-5993	383	37	,	,	PUNCT
easat-5993	383	38	vol	vol	NOUN
easat-5993	383	39	.	.	PROPN
easat-5993	383	40	38	38	NUM
easat-5993	383	41	,	,	PUNCT
easat-5993	383	42	no	no	INTJ
easat-5993	383	43	.	.	NOUN
easat-5993	383	44	10	10	NUM
easat-5993	383	45	,	,	PUNCT
easat-5993	383	46	pp	pp	ADJ
easat-5993	383	47	.	.	PUNCT
easat-5993	383	48	1943	1943	NUM
easat-5993	383	49	-	-	SYM
easat-5993	383	50	1955	1955	NUM
easat-5993	383	51	,	,	PUNCT
easat-5993	383	52	2015	2015	NUM
easat-5993	383	53	.	.	PUNCT
easat-5993	384	1	[	[	X
easat-5993	384	2	23	23	NUM
easat-5993	384	3	]	]	PUNCT
easat-5993	384	4	z.	z.	PROPN
easat-5993	384	5	chen	chen	PROPN
easat-5993	384	6	,	,	PUNCT
easat-5993	384	7	j.	j.	PROPN
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easat-5993	384	9	,	,	PUNCT
easat-5993	384	10	j.	j.	PROPN
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easat-5993	384	12	,	,	PUNCT
easat-5993	384	13	l.	l.	PROPN
easat-5993	384	14	li	li	PROPN
easat-5993	384	15	,	,	PUNCT
easat-5993	384	16	w.	w.	PROPN
easat-5993	384	17	dong	dong	PROPN
easat-5993	384	18	,	,	PUNCT
easat-5993	384	19	and	and	CCONJ
easat-5993	384	20	g.	g.	PROPN
easat-5993	384	21	shi	shi	PROPN
easat-5993	384	22	,	,	PUNCT
easat-5993	384	23	"	"	PUNCT
easat-5993	384	24	ecsnet	ecsnet	NOUN
easat-5993	384	25	:	:	PUNCT
easat-5993	384	26	spatio	spatio	ADJ
easat-5993	384	27	-	-	PUNCT
easat-5993	384	28	temporal	temporal	ADJ
easat-5993	384	29	feature	feature	NOUN
easat-5993	384	30	learning	learn	VERB
easat-5993	384	31	for	for	ADP
easat-5993	384	32	event	event	NOUN
easat-5993	384	33	camera	camera	NOUN
easat-5993	384	34	,	,	PUNCT
easat-5993	384	35	"	"	PUNCT
easat-5993	384	36	ieee	ieee	NOUN
easat-5993	384	37	transactions	transaction	NOUN
easat-5993	384	38	on	on	ADP
easat-5993	384	39	circuits	circuit	NOUN
easat-5993	384	40	and	and	CCONJ
easat-5993	384	41	systems	system	NOUN
easat-5993	384	42	for	for	ADP
easat-5993	384	43	video	video	NOUN
easat-5993	384	44	technology	technology	NOUN
easat-5993	384	45	,	,	PUNCT
easat-5993	384	46	vol	vol	NOUN
easat-5993	384	47	.	.	PROPN
easat-5993	384	48	33	33	NUM
easat-5993	384	49	,	,	PUNCT
easat-5993	384	50	no	no	INTJ
easat-5993	384	51	.	.	NOUN
easat-5993	384	52	2	2	NUM
easat-5993	384	53	,	,	PUNCT
easat-5993	384	54	pp	pp	ADJ
easat-5993	384	55	.	.	PUNCT
easat-5993	385	1	701	701	NUM
easat-5993	385	2	-	-	SYM
easat-5993	385	3	712	712	NUM
easat-5993	385	4	,	,	PUNCT
easat-5993	385	5	2022	2022	NUM
easat-5993	385	6	.	.	PUNCT
easat-5993	386	1	[	[	X
easat-5993	386	2	24	24	NUM
easat-5993	386	3	]	]	X
easat-5993	386	4	h.	h.	PROPN
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easat-5993	386	6	and	and	CCONJ
easat-5993	386	7	i.	i.	PROPN
easat-5993	386	8	el	el	PROPN
easat-5993	386	9	naqa	naqa	PROPN
easat-5993	386	10	,	,	PUNCT
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easat-5993	386	13	molecular	molecular	ADJ
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easat-5993	386	15	emission	emission	NOUN
easat-5993	386	16	tomography	tomography	NOUN
easat-5993	386	17	imaging	imaging	NOUN
easat-5993	386	18	using	use	VERB
easat-5993	386	19	advanced	advanced	ADJ
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easat-5993	386	21	learning	learning	NOUN
easat-5993	386	22	techniques	technique	NOUN
easat-5993	386	23	,	,	PUNCT
easat-5993	386	24	"	"	PUNCT
easat-5993	386	25	annual	annual	ADJ
easat-5993	386	26	review	review	NOUN
easat-5993	386	27	of	of	ADP
easat-5993	386	28	biomedical	biomedical	ADJ
easat-5993	386	29	engineering	engineering	NOUN
easat-5993	386	30	,	,	PUNCT
easat-5993	386	31	vol	vol	NOUN
easat-5993	386	32	.	.	PROPN
easat-5993	386	33	23	23	NUM
easat-5993	386	34	,	,	PUNCT
easat-5993	386	35	no	no	INTJ
easat-5993	386	36	.	.	NOUN
easat-5993	386	37	1	1	NUM
easat-5993	386	38	,	,	PUNCT
easat-5993	386	39	pp	pp	ADJ
easat-5993	386	40	.	.	PUNCT
easat-5993	387	1	249	249	NUM
easat-5993	387	2	-	-	SYM
easat-5993	387	3	276	276	NUM
easat-5993	387	4	,	,	PUNCT
easat-5993	387	5	2021	2021	NUM
easat-5993	387	6	.	.	PUNCT
easat-5993	388	1	[	[	X
easat-5993	388	2	25	25	NUM
easat-5993	388	3	]	]	PUNCT
easat-5993	388	4	k.	k.	PROPN
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easat-5993	388	6	et	et	PROPN
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easat-5993	388	8	.	.	PROPN
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easat-5993	388	10	"	"	PUNCT
easat-5993	388	11	eleven	eleven	NUM
easat-5993	388	12	routine	routine	ADJ
easat-5993	388	13	clinical	clinical	ADJ
easat-5993	388	14	features	feature	NOUN
easat-5993	388	15	predict	predict	VERB
easat-5993	388	16	covid-19	covid-19	PROPN
easat-5993	388	17	severity	severity	NOUN
easat-5993	388	18	uncovered	uncover	VERB
easat-5993	388	19	by	by	ADP
easat-5993	388	20	machine	machine	NOUN
easat-5993	388	21	learning	learning	NOUN
easat-5993	388	22	of	of	ADP
easat-5993	388	23	longitudinal	longitudinal	ADJ
easat-5993	388	24	measurements	measurement	NOUN
easat-5993	388	25	,	,	PUNCT
easat-5993	388	26	"	"	PUNCT
easat-5993	388	27	computational	computational	ADJ
easat-5993	388	28	and	and	CCONJ
easat-5993	388	29	structural	structural	ADJ
easat-5993	388	30	biotechnology	biotechnology	NOUN
easat-5993	388	31	journal	journal	NOUN
easat-5993	388	32	,	,	PUNCT
easat-5993	388	33	vol	vol	NOUN
easat-5993	388	34	.	.	PROPN
easat-5993	388	35	19	19	NUM
easat-5993	388	36	,	,	PUNCT
easat-5993	388	37	pp	pp	ADJ
easat-5993	388	38	.	.	PUNCT
easat-5993	389	1	3640	3640	NUM
easat-5993	389	2	-	-	SYM
easat-5993	389	3	3649	3649	NUM
easat-5993	389	4	,	,	PUNCT
easat-5993	389	5	2021	2021	NUM
easat-5993	389	6	.	.	PUNCT
easat-5993	390	1	https://doi.org/10.1007/s00253-020-11061-5	https://doi.org/10.1007/s00253-020-11061-5	NUM
easat-5993	390	2	https://doi.org/10.1016/j.idm.2020.08.003	https://doi.org/10.1016/j.idm.2020.08.003	PROPN
easat-5993	390	3	https://doi.org/10.1007/s00607-022-01057-6	https://doi.org/10.1007/s00607-022-01057-6	NUM
easat-5993	390	4	https://doi.org/10.1007/s00607-022-01057-6	https://doi.org/10.1007/s00607-022-01057-6	NUM
easat-5993	390	5	https://www.ecdc.europa.eu/en/covid-19/situation-updates	https://www.ecdc.europa.eu/en/covid-19/situation-update	NOUN
easat-5993	391	1	https://www.ncbi.nlm.nih.gov/books/nbk554776/	https://www.ncbi.nlm.nih.gov/books/nbk554776/	ADJ
easat-5993	391	2	https://www.acr.org/advocacy-and-economics/acr-position-statements/recommendations-for-chest-radiography-and-ct-for-suspected-covid19-infection	https://www.acr.org/advocacy-and-economics/acr-position-statements/recommendations-for-chest-radiography-and-ct-for-suspected-covid19-infection	NOUN
easat-5993	391	3	https://www.acr.org/advocacy-and-economics/acr-position-statements/recommendations-for-chest-radiography-and-ct-for-suspected-covid19-infection	https://www.acr.org/advocacy-and-economics/acr-position-statements/recommendations-for-chest-radiography-and-ct-for-suspected-covid19-infection	NOUN
easat-5993	391	4	https://doi.org/10.1148/radiol.2020201160	https://doi.org/10.1148/radiol.2020201160	PROPN
easat-5993	391	5	https://doi.org/10.1016/j.nima.2018.01.074	https://doi.org/10.1016/j.nima.2018.01.074	PROPN
easat-5993	391	6	394	394	NUM
easat-5993	391	7	edelweiss	edelweiss	PROPN
easat-5993	391	8	applied	apply	VERB
easat-5993	391	9	science	science	NOUN
easat-5993	391	10	and	and	CCONJ
easat-5993	391	11	technology	technology	NOUN
easat-5993	391	12	issn	issn	PROPN
easat-5993	391	13	:	:	PUNCT
easat-5993	391	14	2576	2576	NUM
easat-5993	391	15	-	-	SYM
easat-5993	391	16	8484	8484	NUM
easat-5993	391	17	vol	vol	NOUN
easat-5993	391	18	.	.	PROPN
easat-5993	392	1	9	9	NUM
easat-5993	392	2	,	,	PUNCT
easat-5993	392	3	no	no	INTJ
easat-5993	392	4	.	.	NOUN
easat-5993	392	5	4	4	NUM
easat-5993	392	6	:	:	PUNCT
easat-5993	392	7	379	379	NUM
easat-5993	392	8	-	-	SYM
easat-5993	392	9	394	394	NUM
easat-5993	392	10	,	,	PUNCT
easat-5993	392	11	2025	2025	NUM
easat-5993	392	12	doi	doi	NOUN
easat-5993	392	13	:	:	PUNCT
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easat-5993	392	15	©	©	ADP
easat-5993	392	16	2025	2025	NUM
easat-5993	392	17	by	by	ADP
easat-5993	392	18	the	the	DET
easat-5993	392	19	authors	author	NOUN
easat-5993	392	20	;	;	PUNCT
easat-5993	392	21	licensee	licensee	PROPN
easat-5993	392	22	learning	learning	NOUN
easat-5993	392	23	gate	gate	NOUN
easat-5993	393	1	[	[	X
easat-5993	393	2	26	26	NUM
easat-5993	393	3	]	]	PUNCT
easat-5993	393	4	v.	v.	ADP
easat-5993	393	5	gupta	gupta	PROPN
easat-5993	393	6	and	and	CCONJ
easat-5993	393	7	v.	v.	ADP
easat-5993	393	8	bibhu	bibhu	ADJ
easat-5993	393	9	,	,	PUNCT
easat-5993	393	10	"	"	PUNCT
easat-5993	393	11	deep	deep	ADJ
easat-5993	393	12	residual	residual	ADJ
easat-5993	393	13	network	network	NOUN
easat-5993	393	14	based	base	VERB
easat-5993	393	15	brain	brain	NOUN
easat-5993	393	16	tumor	tumor	NOUN
easat-5993	393	17	segmentation	segmentation	NOUN
easat-5993	393	18	and	and	CCONJ
easat-5993	393	19	detection	detection	NOUN
easat-5993	393	20	with	with	ADP
easat-5993	393	21	mri	mri	NOUN
easat-5993	393	22	using	use	VERB
easat-5993	393	23	improved	improve	VERB
easat-5993	393	24	invasive	invasive	ADJ
easat-5993	393	25	bat	bat	NOUN
easat-5993	393	26	algorithm	algorithm	NOUN
easat-5993	393	27	,	,	PUNCT
easat-5993	393	28	"	"	PUNCT
easat-5993	393	29	multimedia	multimedia	NOUN
easat-5993	393	30	tools	tool	NOUN
easat-5993	393	31	and	and	CCONJ
easat-5993	393	32	applications	application	NOUN
easat-5993	393	33	,	,	PUNCT
easat-5993	393	34	vol	vol	NOUN
easat-5993	393	35	.	.	PROPN
easat-5993	393	36	82	82	NUM
easat-5993	393	37	,	,	PUNCT
easat-5993	393	38	no	no	INTJ
easat-5993	393	39	.	.	NOUN
easat-5993	393	40	8	8	NUM
easat-5993	393	41	,	,	PUNCT
easat-5993	393	42	pp	pp	ADJ
easat-5993	393	43	.	.	PUNCT
easat-5993	394	1	12445	12445	NUM
easat-5993	394	2	-	-	SYM
easat-5993	394	3	12467	12467	NUM
easat-5993	394	4	,	,	PUNCT
easat-5993	394	5	2023	2023	NUM
easat-5993	394	6	.	.	PUNCT
easat-5993	395	1	[	[	X
easat-5993	395	2	27	27	NUM
easat-5993	395	3	]	]	PUNCT
easat-5993	395	4	s.	s.	PROPN
easat-5993	395	5	lu	lu	PROPN
easat-5993	395	6	,	,	PUNCT
easat-5993	395	7	s.-h	s.-h	NOUN
easat-5993	395	8	.	.	PUNCT
easat-5993	396	1	wang	wang	PROPN
easat-5993	396	2	,	,	PUNCT
easat-5993	396	3	and	and	CCONJ
easat-5993	396	4	y.-d	y.-d	NOUN
easat-5993	396	5	.	.	PUNCT
easat-5993	397	1	zhang	zhang	PROPN
easat-5993	397	2	,	,	PUNCT
easat-5993	397	3	"	"	PUNCT
easat-5993	397	4	detection	detection	NOUN
easat-5993	397	5	of	of	ADP
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easat-5993	397	8	in	in	ADP
easat-5993	397	9	mri	mri	NOUN
easat-5993	397	10	via	via	ADP
easat-5993	397	11	improved	improved	ADJ
easat-5993	397	12	alexnet	alexnet	NOUN
easat-5993	397	13	and	and	CCONJ
easat-5993	397	14	elm	elm	NOUN
easat-5993	397	15	optimized	optimize	VERB
easat-5993	397	16	by	by	ADP
easat-5993	397	17	chaotic	chaotic	ADJ
easat-5993	397	18	bat	bat	NOUN
easat-5993	397	19	algorithm	algorithm	NOUN
easat-5993	397	20	,	,	PUNCT
easat-5993	397	21	"	"	PUNCT
easat-5993	397	22	neural	neural	ADJ
easat-5993	397	23	computing	computing	NOUN
easat-5993	397	24	and	and	CCONJ
easat-5993	397	25	applications	application	NOUN
easat-5993	397	26	,	,	PUNCT
easat-5993	397	27	vol	vol	NOUN
easat-5993	397	28	.	.	PROPN
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easat-5993	397	30	,	,	PUNCT
easat-5993	397	31	no	no	INTJ
easat-5993	397	32	.	.	NOUN
easat-5993	397	33	17	17	NUM
easat-5993	397	34	,	,	PUNCT
easat-5993	397	35	pp	pp	ADJ
easat-5993	397	36	.	.	PUNCT
easat-5993	397	37	10799	10799	NUM
easat-5993	397	38	-	-	SYM
easat-5993	397	39	10811	10811	NUM
easat-5993	397	40	,	,	PUNCT
easat-5993	397	41	2021	2021	NUM
easat-5993	397	42	.	.	PUNCT
easat-5993	398	1	[	[	X
easat-5993	398	2	28	28	NUM
easat-5993	398	3	]	]	X
easat-5993	398	4	n.	n.	PROPN
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easat-5993	398	6	and	and	CCONJ
easat-5993	398	7	v.	v.	ADP
easat-5993	398	8	rajinikanth	rajinikanth	NOUN
easat-5993	398	9	,	,	PUNCT
easat-5993	398	10	applications	application	NOUN
easat-5993	398	11	of	of	ADP
easat-5993	398	12	bat	bat	NOUN
easat-5993	398	13	algorithm	algorithm	NOUN
easat-5993	398	14	and	and	CCONJ
easat-5993	398	15	its	its	PRON
easat-5993	398	16	variants	variant	NOUN
easat-5993	398	17	.	.	PUNCT
easat-5993	399	1	springer	springer	NOUN
easat-5993	399	2	,	,	PUNCT
easat-5993	399	3	2021	2021	NUM
easat-5993	399	4	.	.	PUNCT
easat-5993	400	1	[	[	X
easat-5993	400	2	29	29	NUM
easat-5993	400	3	]	]	PUNCT
easat-5993	400	4	m.	m.	NOUN
easat-5993	400	5	a.	a.	PROPN
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easat-5993	400	7	,	,	PUNCT
easat-5993	400	8	k.	k.	PROPN
easat-5993	400	9	m.	m.	PROPN
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easat-5993	400	14	,	,	PUNCT
easat-5993	400	15	and	and	CCONJ
easat-5993	400	16	m.	m.	NOUN
easat-5993	400	17	m.	m.	PROPN
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easat-5993	400	23	and	and	CCONJ
easat-5993	400	24	deep	deep	ADJ
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easat-5993	400	31	and	and	CCONJ
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easat-5993	400	33	:	:	PUNCT
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easat-5993	400	37	,	,	PUNCT
easat-5993	400	38	"	"	PUNCT
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easat-5993	400	40	,	,	PUNCT
easat-5993	400	41	vol	vol	NOUN
easat-5993	400	42	.	.	PROPN
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easat-5993	400	44	,	,	PUNCT
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easat-5993	400	46	.	.	NOUN
easat-5993	400	47	8	8	NUM
easat-5993	400	48	,	,	PUNCT
easat-5993	400	49	p.	p.	NOUN
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easat-5993	400	51	,	,	PUNCT
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easat-5993	400	53	.	.	PUNCT
easat-5993	401	1	[	[	X
easat-5993	401	2	30	30	NUM
easat-5993	401	3	]	]	X
easat-5993	401	4	j.	j.	PROPN
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easat-5993	401	7	y.	y.	PROPN
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easat-5993	401	10	"	"	PUNCT
easat-5993	401	11	early	early	ADJ
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easat-5993	401	13	of	of	ADP
easat-5993	401	14	alzheimer	alzheimer	PROPN
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easat-5993	401	17	:	:	PUNCT
easat-5993	401	18	a	a	DET
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easat-5993	401	26	"	"	PUNCT
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easat-5993	401	28	in	in	ADP
easat-5993	401	29	proc	proc	NOUN
easat-5993	401	30	.	.	PUNCT
easat-5993	402	1	ieee	ieee	NOUN
easat-5993	402	2	conf	conf	NOUN
easat-5993	402	3	.	.	PUNCT
easat-5993	403	1	comput	comput	NOUN
easat-5993	403	2	.	.	PUNCT
easat-5993	404	1	vis	vis	X
easat-5993	404	2	.	.	X
easat-5993	404	3	pattern	pattern	NOUN
easat-5993	404	4	recognit	recognit	VERB
easat-5993	404	5	.	.	PUNCT
easat-5993	405	1	workshops	workshop	NOUN
easat-5993	405	2	(	(	PUNCT
easat-5993	405	3	cvprw	cvprw	PROPN
easat-5993	405	4	)	)	PUNCT
easat-5993	405	5	,	,	PUNCT
easat-5993	405	6	pp	pp	ADJ
easat-5993	405	7	.	.	PUNCT
easat-5993	406	1	1881–1883	1881–1883	NUM
easat-5993	406	2	,	,	PUNCT
easat-5993	406	3	2018	2018	NUM
easat-5993	406	4	.	.	PUNCT
easat-5993	407	1	[	[	X
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easat-5993	407	3	]	]	X
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easat-5993	407	8	.	.	PROPN
easat-5993	407	9	,	,	PUNCT
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easat-5993	407	11	the	the	DET
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easat-5993	407	13	assessment	assessment	NOUN
easat-5993	407	14	for	for	ADP
easat-5993	407	15	prostate	prostate	NOUN
easat-5993	407	16	imaging	imaging	NOUN
easat-5993	407	17	and	and	CCONJ
easat-5993	407	18	diagnosis	diagnosis	NOUN
easat-5993	407	19	(	(	PUNCT
easat-5993	407	20	rapid	rapid	ADJ
easat-5993	407	21	)	)	PUNCT
easat-5993	407	22	prostate	prostate	NOUN
easat-5993	407	23	cancer	cancer	NOUN
easat-5993	407	24	diagnostic	diagnostic	ADJ
easat-5993	407	25	pathway	pathway	NOUN
easat-5993	407	26	,	,	PUNCT
easat-5993	407	27	"	"	PUNCT
easat-5993	407	28	bju	bju	PROPN
easat-5993	407	29	international	international	ADJ
easat-5993	407	30	,	,	PUNCT
easat-5993	407	31	vol	vol	NOUN
easat-5993	407	32	.	.	PROPN
easat-5993	407	33	131	131	NUM
easat-5993	407	34	,	,	PUNCT
easat-5993	407	35	no	no	INTJ
easat-5993	407	36	.	.	NOUN
easat-5993	407	37	4	4	NUM
easat-5993	407	38	,	,	PUNCT
easat-5993	407	39	pp	pp	ADJ
easat-5993	407	40	.	.	PUNCT
easat-5993	408	1	461	461	NUM
easat-5993	408	2	-	-	SYM
easat-5993	408	3	470	470	NUM
easat-5993	408	4	,	,	PUNCT
easat-5993	408	5	2023	2023	NUM
easat-5993	408	6	.	.	PUNCT
easat-5993	409	1	[	[	X
easat-5993	409	2	32	32	NUM
easat-5993	409	3	]	]	PUNCT
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easat-5993	409	7	v.	v.	ADP
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easat-5993	409	9	,	,	PUNCT
easat-5993	409	10	"	"	PUNCT
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easat-5993	409	15	based	base	VERB
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easat-5993	409	17	feature	feature	NOUN
easat-5993	409	18	selection	selection	NOUN
easat-5993	409	19	approaches	approach	NOUN
easat-5993	409	20	and	and	CCONJ
easat-5993	409	21	classification	classification	NOUN
easat-5993	409	22	methods	method	NOUN
easat-5993	409	23	for	for	ADP
easat-5993	409	24	cervical	cervical	ADJ
easat-5993	409	25	cancer	cancer	NOUN
easat-5993	409	26	prediction	prediction	NOUN
easat-5993	409	27	,	,	PUNCT
easat-5993	409	28	"	"	PUNCT
easat-5993	409	29	sn	sn	PROPN
easat-5993	409	30	applied	apply	VERB
easat-5993	409	31	sciences	science	NOUN
easat-5993	409	32	,	,	PUNCT
easat-5993	409	33	vol	vol	NOUN
easat-5993	409	34	.	.	PROPN
easat-5993	410	1	1	1	NUM
easat-5993	410	2	,	,	PUNCT
easat-5993	410	3	pp	pp	ADJ
easat-5993	410	4	.	.	PUNCT
easat-5993	411	1	1	1	NUM
easat-5993	411	2	-	-	SYM
easat-5993	411	3	16	16	NUM
easat-5993	411	4	,	,	PUNCT
easat-5993	411	5	2019	2019	NUM
easat-5993	411	6	.	.	PUNCT
easat-5993	412	1	[	[	X
easat-5993	412	2	33	33	NUM
easat-5993	412	3	]	]	PUNCT
easat-5993	412	4	b.	b.	PROPN
easat-5993	412	5	gayathri	gayathri	PROPN
easat-5993	412	6	,	,	PUNCT
easat-5993	412	7	c.	c.	PROPN
easat-5993	412	8	sumathi	sumathi	PROPN
easat-5993	412	9	,	,	PUNCT
easat-5993	412	10	and	and	CCONJ
easat-5993	412	11	t.	t.	PROPN
easat-5993	412	12	santhanam	santhanam	PROPN
easat-5993	412	13	,	,	PUNCT
easat-5993	412	14	"	"	PUNCT
easat-5993	412	15	breast	breast	NOUN
easat-5993	412	16	cancer	cancer	NOUN
easat-5993	412	17	diagnosis	diagnosis	NOUN
easat-5993	412	18	using	use	VERB
easat-5993	412	19	machine	machine	NOUN
easat-5993	412	20	learning	learn	VERB
easat-5993	412	21	algorithms	algorithm	NOUN
easat-5993	412	22	-	-	PUNCT
easat-5993	412	23	a	a	DET
easat-5993	412	24	survey	survey	NOUN
easat-5993	412	25	,	,	PUNCT
easat-5993	412	26	"	"	PUNCT
easat-5993	412	27	international	international	ADJ
easat-5993	412	28	journal	journal	NOUN
easat-5993	412	29	of	of	ADP
easat-5993	412	30	distributed	distributed	ADJ
easat-5993	412	31	and	and	CCONJ
easat-5993	412	32	parallel	parallel	ADJ
easat-5993	412	33	systems	system	NOUN
easat-5993	412	34	,	,	PUNCT
easat-5993	412	35	vol	vol	NOUN
easat-5993	412	36	.	.	PROPN
easat-5993	412	37	4	4	NUM
easat-5993	412	38	,	,	PUNCT
easat-5993	412	39	no	no	INTJ
easat-5993	412	40	.	.	NOUN
easat-5993	412	41	3	3	NUM
easat-5993	412	42	,	,	PUNCT
easat-5993	412	43	p.	p.	NOUN
easat-5993	412	44	105	105	NUM
easat-5993	412	45	,	,	PUNCT
easat-5993	412	46	2013	2013	NUM
easat-5993	412	47	.	.	PUNCT
easat-5993	413	1	[	[	X
easat-5993	413	2	34	34	NUM
easat-5993	413	3	]	]	X
easat-5993	413	4	i.	i.	PROPN
easat-5993	413	5	u.	u.	PROPN
easat-5993	413	6	khan	khan	PROPN
easat-5993	413	7	and	and	CCONJ
easat-5993	413	8	n.	n.	PROPN
easat-5993	413	9	aslam	aslam	PROPN
easat-5993	413	10	,	,	PUNCT
easat-5993	413	11	"	"	PUNCT
easat-5993	413	12	a	a	DET
easat-5993	413	13	deep	deep	ADJ
easat-5993	413	14	-	-	PUNCT
easat-5993	413	15	learning	learning	NOUN
easat-5993	413	16	-	-	PUNCT
easat-5993	413	17	based	base	VERB
easat-5993	413	18	framework	framework	NOUN
easat-5993	413	19	for	for	ADP
easat-5993	413	20	automated	automate	VERB
easat-5993	413	21	diagnosis	diagnosis	NOUN
easat-5993	413	22	of	of	ADP
easat-5993	413	23	covid-19	covid-19	PROPN
easat-5993	413	24	using	use	VERB
easat-5993	413	25	x	x	NOUN
easat-5993	413	26	-	-	NOUN
easat-5993	413	27	ray	ray	NOUN
easat-5993	413	28	images	image	NOUN
easat-5993	413	29	,	,	PUNCT
easat-5993	413	30	"	"	PUNCT
easat-5993	413	31	information	information	NOUN
easat-5993	413	32	,	,	PUNCT
easat-5993	413	33	vol	vol	NOUN
easat-5993	413	34	.	.	PROPN
easat-5993	413	35	11	11	NUM
easat-5993	413	36	,	,	PUNCT
easat-5993	413	37	no	no	INTJ
easat-5993	413	38	.	.	NOUN
easat-5993	413	39	9	9	NUM
easat-5993	413	40	,	,	PUNCT
easat-5993	413	41	p.	p.	NOUN
easat-5993	413	42	419	419	NUM
easat-5993	413	43	,	,	PUNCT
easat-5993	413	44	2020	2020	NUM
easat-5993	413	45	.	.	PUNCT
easat-5993	414	1	[	[	X
easat-5993	414	2	35	35	NUM
easat-5993	414	3	]	]	PUNCT
easat-5993	414	4	m.	m.	NOUN
easat-5993	414	5	nour	nour	PROPN
easat-5993	414	6	,	,	PUNCT
easat-5993	414	7	z.	z.	PROPN
easat-5993	414	8	cömert	cömert	PROPN
easat-5993	414	9	,	,	PUNCT
easat-5993	414	10	and	and	CCONJ
easat-5993	414	11	k.	k.	PROPN
easat-5993	414	12	polat	polat	PROPN
easat-5993	414	13	,	,	PUNCT
easat-5993	414	14	"	"	PUNCT
easat-5993	414	15	a	a	DET
easat-5993	414	16	novel	novel	ADJ
easat-5993	414	17	medical	medical	ADJ
easat-5993	414	18	diagnosis	diagnosis	NOUN
easat-5993	414	19	model	model	NOUN
easat-5993	414	20	for	for	ADP
easat-5993	414	21	covid-19	covid-19	PROPN
easat-5993	414	22	infection	infection	NOUN
easat-5993	414	23	detection	detection	NOUN
easat-5993	414	24	based	base	VERB
easat-5993	414	25	on	on	ADP
easat-5993	414	26	deep	deep	ADJ
easat-5993	414	27	features	feature	NOUN
easat-5993	414	28	and	and	CCONJ
easat-5993	414	29	bayesian	bayesian	NOUN
easat-5993	414	30	optimization	optimization	NOUN
easat-5993	414	31	,	,	PUNCT
easat-5993	414	32	"	"	PUNCT
easat-5993	414	33	applied	apply	VERB
easat-5993	414	34	soft	soft	ADJ
easat-5993	414	35	computing	computing	NOUN
easat-5993	414	36	,	,	PUNCT
easat-5993	414	37	vol	vol	NOUN
easat-5993	414	38	.	.	PROPN
easat-5993	415	1	97	97	NUM
easat-5993	415	2	,	,	PUNCT
easat-5993	415	3	p.	p.	NOUN
easat-5993	415	4	106580	106580	NUM
easat-5993	415	5	,	,	PUNCT
easat-5993	415	6	2020	2020	NUM
easat-5993	415	7	.	.	PUNCT
easat-5993	416	1	[	[	X
easat-5993	416	2	36	36	NUM
easat-5993	416	3	]	]	PUNCT
easat-5993	416	4	m.	m.	PROPN
easat-5993	416	5	e.	e.	PROPN
easat-5993	416	6	chowdhury	chowdhury	PROPN
easat-5993	416	7	et	et	PROPN
easat-5993	416	8	al	al	PROPN
easat-5993	416	9	.	.	PROPN
easat-5993	416	10	,	,	PUNCT
easat-5993	416	11	"	"	PUNCT
easat-5993	416	12	can	can	AUX
easat-5993	416	13	ai	ai	VERB
easat-5993	416	14	help	help	NOUN
easat-5993	416	15	in	in	ADP
easat-5993	416	16	screening	screen	VERB
easat-5993	416	17	viral	viral	ADJ
easat-5993	416	18	and	and	CCONJ
easat-5993	416	19	covid-19	covid-19	PROPN
easat-5993	416	20	pneumonia	pneumonia	NOUN
easat-5993	416	21	?	?	PUNCT
easat-5993	416	22	,	,	PUNCT
easat-5993	416	23	"	"	PUNCT
easat-5993	416	24	ieee	ieee	NOUN
easat-5993	416	25	access	access	NOUN
easat-5993	416	26	,	,	PUNCT
easat-5993	416	27	vol	vol	NOUN
easat-5993	416	28	.	.	PROPN
easat-5993	416	29	8	8	NUM
easat-5993	416	30	,	,	PUNCT
easat-5993	416	31	pp	pp	ADJ
easat-5993	416	32	.	.	PUNCT
easat-5993	416	33	132665132676	132665132676	NUM
easat-5993	416	34	,	,	PUNCT
easat-5993	416	35	2020	2020	NUM
easat-5993	416	36	.	.	PUNCT
easat-5993	417	1	[	[	X
easat-5993	417	2	37	37	NUM
easat-5993	417	3	]	]	X
easat-5993	417	4	s.	s.	PROPN
easat-5993	417	5	asif	asif	PROPN
easat-5993	417	6	,	,	PUNCT
easat-5993	417	7	y.	y.	PROPN
easat-5993	417	8	wenhui	wenhui	PROPN
easat-5993	417	9	,	,	PUNCT
easat-5993	417	10	h.	h.	PROPN
easat-5993	417	11	jin	jin	PROPN
easat-5993	417	12	,	,	PUNCT
easat-5993	417	13	y.	y.	PROPN
easat-5993	417	14	tao	tao	PROPN
easat-5993	417	15	,	,	PUNCT
easat-5993	417	16	and	and	CCONJ
easat-5993	417	17	s.	s.	PROPN
easat-5993	417	18	jinhai	jinhai	PROPN
easat-5993	417	19	,	,	PUNCT
easat-5993	417	20	"	"	PUNCT
easat-5993	417	21	automatic	automatic	ADJ
easat-5993	417	22	detection	detection	NOUN
easat-5993	417	23	of	of	ADP
easat-5993	417	24	covid-19	covid-19	PROPN
easat-5993	417	25	using	use	VERB
easat-5993	417	26	x	x	NOUN
easat-5993	417	27	-	-	NOUN
easat-5993	417	28	ray	ray	NOUN
easat-5993	417	29	images	image	NOUN
easat-5993	417	30	with	with	ADP
easat-5993	417	31	deep	deep	ADJ
easat-5993	417	32	convolutional	convolutional	ADJ
easat-5993	417	33	neural	neural	ADJ
easat-5993	417	34	networks	network	NOUN
easat-5993	417	35	and	and	CCONJ
easat-5993	417	36	machine	machine	NOUN
easat-5993	417	37	learning	learning	NOUN
easat-5993	417	38	,	,	PUNCT
easat-5993	417	39	"	"	PUNCT
easat-5993	417	40	2020	2020	NUM
easat-5993	417	41	.	.	PUNCT
easat-5993	418	1	[	[	X
easat-5993	418	2	38	38	NUM
easat-5993	418	3	]	]	PUNCT
easat-5993	418	4	m.	m.	NOUN
easat-5993	418	5	toğaçar	toğaçar	PROPN
easat-5993	418	6	,	,	PUNCT
easat-5993	418	7	b.	b.	PROPN
easat-5993	418	8	ergen	ergen	PROPN
easat-5993	418	9	,	,	PUNCT
easat-5993	418	10	and	and	CCONJ
easat-5993	418	11	z.	z.	PROPN
easat-5993	418	12	cömert	cömert	PROPN
easat-5993	418	13	,	,	PUNCT
easat-5993	418	14	"	"	PUNCT
easat-5993	418	15	covid-19	covid-19	PROPN
easat-5993	418	16	detection	detection	NOUN
easat-5993	418	17	using	use	VERB
easat-5993	418	18	deep	deep	ADJ
easat-5993	418	19	learning	learning	NOUN
easat-5993	418	20	models	model	NOUN
easat-5993	418	21	to	to	PART
easat-5993	418	22	exploit	exploit	VERB
easat-5993	418	23	social	social	ADJ
easat-5993	418	24	mimic	mimic	ADJ
easat-5993	418	25	optimization	optimization	NOUN
easat-5993	418	26	and	and	CCONJ
easat-5993	418	27	structured	structured	ADJ
easat-5993	418	28	chest	chest	NOUN
easat-5993	418	29	x	x	NOUN
easat-5993	418	30	-	-	NOUN
easat-5993	418	31	ray	ray	NOUN
easat-5993	418	32	images	image	NOUN
easat-5993	418	33	using	use	VERB
easat-5993	418	34	fuzzy	fuzzy	ADJ
easat-5993	418	35	color	color	NOUN
easat-5993	418	36	and	and	CCONJ
easat-5993	418	37	stacking	stacking	NOUN
easat-5993	418	38	approaches	approach	NOUN
easat-5993	418	39	,	,	PUNCT
easat-5993	418	40	"	"	PUNCT
easat-5993	418	41	computers	computer	NOUN
easat-5993	418	42	in	in	ADP
easat-5993	418	43	biology	biology	NOUN
easat-5993	418	44	and	and	CCONJ
easat-5993	418	45	medicine	medicine	NOUN
easat-5993	418	46	,	,	PUNCT
easat-5993	418	47	vol	vol	NOUN
easat-5993	418	48	.	.	PROPN
easat-5993	418	49	121	121	NUM
easat-5993	418	50	,	,	PUNCT
easat-5993	418	51	p.	p.	NOUN
easat-5993	418	52	103805	103805	NUM
easat-5993	418	53	,	,	PUNCT
easat-5993	418	54	2020	2020	NUM
easat-5993	418	55	.	.	PUNCT
easat-5993	419	1	[	[	X
easat-5993	419	2	39	39	NUM
easat-5993	419	3	]	]	PUNCT
easat-5993	419	4	f.	f.	PROPN
easat-5993	419	5	ucar	ucar	PROPN
easat-5993	419	6	and	and	CCONJ
easat-5993	419	7	d.	d.	PROPN
easat-5993	419	8	korkmaz	korkmaz	PROPN
easat-5993	419	9	,	,	PUNCT
easat-5993	419	10	"	"	PUNCT
easat-5993	419	11	covidiagnosis	covidiagnosis	NOUN
easat-5993	419	12	-	-	PUNCT
easat-5993	419	13	net	net	NOUN
easat-5993	419	14	:	:	PUNCT
easat-5993	419	15	deep	deep	ADJ
easat-5993	419	16	bayes	bayes	NOUN
easat-5993	419	17	-	-	PUNCT
easat-5993	419	18	squeezenet	squeezenet	NOUN
easat-5993	419	19	based	base	VERB
easat-5993	419	20	diagnosis	diagnosis	NOUN
easat-5993	419	21	of	of	ADP
easat-5993	419	22	the	the	DET
easat-5993	419	23	coronavirus	coronavirus	NOUN
easat-5993	419	24	disease	disease	NOUN
easat-5993	419	25	2019	2019	NUM
easat-5993	419	26	(	(	PUNCT
easat-5993	419	27	covid-19	covid-19	PROPN
easat-5993	419	28	)	)	PUNCT
easat-5993	419	29	from	from	ADP
easat-5993	419	30	x	x	ADJ
easat-5993	419	31	-	-	NOUN
easat-5993	419	32	ray	ray	NOUN
easat-5993	419	33	images	image	NOUN
easat-5993	419	34	,	,	PUNCT
easat-5993	419	35	"	"	PUNCT
easat-5993	419	36	medical	medical	ADJ
easat-5993	419	37	hypotheses	hypothesis	NOUN
easat-5993	419	38	,	,	PUNCT
easat-5993	419	39	vol	vol	NOUN
easat-5993	419	40	.	.	PROPN
easat-5993	419	41	140	140	NUM
easat-5993	419	42	,	,	PUNCT
easat-5993	419	43	p.	p.	NOUN
easat-5993	419	44	109761	109761	NUM
easat-5993	419	45	,	,	PUNCT
easat-5993	419	46	2020	2020	NUM
easat-5993	419	47	.	.	PUNCT
easat-5993	420	1	[	[	X
easat-5993	420	2	40	40	NUM
easat-5993	420	3	]	]	PUNCT
easat-5993	420	4	a.	a.	PROPN
easat-5993	420	5	jaiswal	jaiswal	PROPN
easat-5993	420	6	and	and	CCONJ
easat-5993	420	7	a.	a.	NOUN
easat-5993	420	8	bist	bist	NOUN
easat-5993	420	9	,	,	PUNCT
easat-5993	420	10	"	"	PUNCT
easat-5993	420	11	analysis	analysis	NOUN
easat-5993	420	12	of	of	ADP
easat-5993	420	13	deep	deep	ADJ
easat-5993	420	14	learning	learning	NOUN
easat-5993	420	15	algorithms	algorithm	NOUN
easat-5993	420	16	on	on	ADP
easat-5993	420	17	covid-19	covid-19	PROPN
easat-5993	420	18	radiography	radiography	NOUN
easat-5993	420	19	database	database	NOUN
easat-5993	420	20	,	,	PUNCT
easat-5993	420	21	"	"	PUNCT
easat-5993	420	22	international	international	ADJ
easat-5993	420	23	journal	journal	NOUN
easat-5993	420	24	of	of	ADP
easat-5993	420	25	advanced	advanced	ADJ
easat-5993	420	26	science	science	NOUN
easat-5993	420	27	and	and	CCONJ
easat-5993	420	28	technology	technology	NOUN
easat-5993	420	29	,	,	PUNCT
easat-5993	420	30	vol	vol	NOUN
easat-5993	420	31	.	.	PROPN
easat-5993	420	32	29	29	NUM
easat-5993	420	33	,	,	PUNCT
easat-5993	420	34	no	no	INTJ
easat-5993	420	35	.	.	NOUN
easat-5993	420	36	11	11	NUM
easat-5993	420	37	,	,	PUNCT
easat-5993	420	38	pp	pp	ADJ
easat-5993	420	39	.	.	PUNCT
easat-5993	420	40	1268	1268	NUM
easat-5993	420	41	-	-	SYM
easat-5993	420	42	1275	1275	NUM
easat-5993	420	43	,	,	PUNCT
easat-5993	420	44	2020	2020	NUM
easat-5993	420	45	.	.	PUNCT
easat-5993	421	1	[	[	X
easat-5993	421	2	41	41	NUM
easat-5993	421	3	]	]	X
easat-5993	421	4	t.	t.	PROPN
easat-5993	421	5	ozturk	ozturk	PROPN
easat-5993	421	6	,	,	PUNCT
easat-5993	421	7	m.	m.	NOUN
easat-5993	421	8	talo	talo	PROPN
easat-5993	421	9	,	,	PUNCT
easat-5993	421	10	e.	e.	PROPN
easat-5993	421	11	a.	a.	PROPN
easat-5993	421	12	yildirim	yildirim	PROPN
easat-5993	421	13	,	,	PUNCT
easat-5993	421	14	u.	u.	PROPN
easat-5993	421	15	b.	b.	PROPN
easat-5993	421	16	baloglu	baloglu	PROPN
easat-5993	421	17	,	,	PUNCT
easat-5993	421	18	o.	o.	PROPN
easat-5993	421	19	yildirim	yildirim	PROPN
easat-5993	421	20	,	,	PUNCT
easat-5993	421	21	and	and	CCONJ
easat-5993	421	22	u.	u.	PROPN
easat-5993	421	23	r.	r.	PROPN
easat-5993	421	24	acharya	acharya	PROPN
easat-5993	421	25	,	,	PUNCT
easat-5993	421	26	"	"	PUNCT
easat-5993	421	27	automated	automate	VERB
easat-5993	421	28	detection	detection	NOUN
easat-5993	421	29	of	of	ADP
easat-5993	421	30	covid19	covid19	NOUN
easat-5993	421	31	cases	case	NOUN
easat-5993	421	32	using	use	VERB
easat-5993	421	33	deep	deep	ADJ
easat-5993	421	34	neural	neural	ADJ
easat-5993	421	35	networks	network	NOUN
easat-5993	421	36	with	with	ADP
easat-5993	421	37	x	x	ADJ
easat-5993	421	38	-	-	NOUN
easat-5993	421	39	ray	ray	NOUN
easat-5993	421	40	images	image	NOUN
easat-5993	421	41	,	,	PUNCT
easat-5993	421	42	"	"	PUNCT
easat-5993	421	43	computers	computer	NOUN
easat-5993	421	44	in	in	ADP
easat-5993	421	45	biology	biology	NOUN
easat-5993	421	46	and	and	CCONJ
easat-5993	421	47	medicine	medicine	NOUN
easat-5993	421	48	,	,	PUNCT
easat-5993	421	49	vol	vol	NOUN
easat-5993	421	50	.	.	PROPN
easat-5993	421	51	121	121	NUM
easat-5993	421	52	,	,	PUNCT
easat-5993	421	53	p.	p.	NOUN
easat-5993	421	54	103792	103792	NUM
easat-5993	421	55	,	,	PUNCT
easat-5993	421	56	2020	2020	NUM
easat-5993	421	57	.	.	PUNCT
easat-5993	422	1	[	[	X
easat-5993	422	2	42	42	NUM
easat-5993	422	3	]	]	PUNCT
easat-5993	422	4	m.	m.	NOUN
easat-5993	422	5	canayaz	canayaz	NOUN
easat-5993	422	6	,	,	PUNCT
easat-5993	422	7	s.	s.	PROPN
easat-5993	422	8	şehribanoğlu	şehribanoğlu	PROPN
easat-5993	422	9	,	,	PUNCT
easat-5993	422	10	r.	r.	PROPN
easat-5993	422	11	özdağ	özdağ	PROPN
easat-5993	422	12	,	,	PUNCT
easat-5993	422	13	and	and	CCONJ
easat-5993	422	14	m.	m.	PROPN
easat-5993	422	15	demir	demir	PROPN
easat-5993	422	16	,	,	PUNCT
easat-5993	422	17	"	"	PUNCT
easat-5993	422	18	covid-19	covid-19	PROPN
easat-5993	422	19	diagnosis	diagnosis	NOUN
easat-5993	422	20	on	on	ADP
easat-5993	422	21	ct	ct	NUM
easat-5993	422	22	images	image	NOUN
easat-5993	422	23	with	with	ADP
easat-5993	422	24	bayes	bayes	PROPN
easat-5993	422	25	optimization	optimization	NOUN
easat-5993	422	26	-	-	PUNCT
easat-5993	422	27	based	base	VERB
easat-5993	422	28	deep	deep	ADJ
easat-5993	422	29	neural	neural	ADJ
easat-5993	422	30	networks	network	NOUN
easat-5993	422	31	and	and	CCONJ
easat-5993	422	32	machine	machine	NOUN
easat-5993	422	33	learning	learning	NOUN
easat-5993	422	34	algorithms	algorithm	NOUN
easat-5993	422	35	,	,	PUNCT
easat-5993	422	36	"	"	PUNCT
easat-5993	422	37	neural	neural	ADJ
easat-5993	422	38	computing	computing	NOUN
easat-5993	422	39	and	and	CCONJ
easat-5993	422	40	applications	application	NOUN
easat-5993	422	41	,	,	PUNCT
easat-5993	422	42	vol	vol	NOUN
easat-5993	422	43	.	.	PROPN
easat-5993	422	44	34	34	NUM
easat-5993	422	45	,	,	PUNCT
easat-5993	422	46	no	no	INTJ
easat-5993	422	47	.	.	NOUN
easat-5993	422	48	7	7	NUM
easat-5993	422	49	,	,	PUNCT
easat-5993	422	50	pp	pp	ADJ
easat-5993	422	51	.	.	PUNCT
easat-5993	423	1	5349	5349	NUM
easat-5993	423	2	-	-	SYM
easat-5993	423	3	5365	5365	NUM
easat-5993	423	4	,	,	PUNCT
easat-5993	423	5	2022	2022	NUM
easat-5993	423	6	,	,	PUNCT
easat-5993	423	7	doi	doi	NOUN
easat-5993	423	8	:	:	PUNCT
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easat-5993	423	10	.	.	PUNCT
easat-5993	424	1	[	[	X
easat-5993	424	2	43	43	NUM
easat-5993	424	3	]	]	X
easat-5993	424	4	r.	r.	PROPN
easat-5993	424	5	c.	c.	PROPN
easat-5993	424	6	junia	junia	PROPN
easat-5993	424	7	and	and	CCONJ
easat-5993	424	8	k.	k.	PROPN
easat-5993	424	9	selvan	selvan	PROPN
easat-5993	424	10	,	,	PUNCT
easat-5993	424	11	"	"	PUNCT
easat-5993	424	12	deep	deep	ADJ
easat-5993	424	13	learning	learning	NOUN
easat-5993	424	14	-	-	PUNCT
easat-5993	424	15	based	base	VERB
easat-5993	424	16	automatic	automatic	ADJ
easat-5993	424	17	segmentation	segmentation	NOUN
easat-5993	424	18	of	of	ADP
easat-5993	424	19	covid-19	covid-19	PROPN
easat-5993	424	20	in	in	ADP
easat-5993	424	21	chest	chest	NOUN
easat-5993	424	22	x	x	NOUN
easat-5993	424	23	-	-	NOUN
easat-5993	424	24	ray	ray	NOUN
easat-5993	424	25	images	image	NOUN
easat-5993	424	26	using	use	VERB
easat-5993	424	27	ensemble	ensemble	ADJ
easat-5993	424	28	neural	neural	ADJ
easat-5993	424	29	net	net	ADJ
easat-5993	424	30	sentinel	sentinel	NOUN
easat-5993	424	31	algorithm	algorithm	NOUN
easat-5993	424	32	,	,	PUNCT
easat-5993	424	33	"	"	PUNCT
easat-5993	424	34	measurement	measurement	NOUN
easat-5993	424	35	:	:	PUNCT
easat-5993	424	36	sensors	sensor	NOUN
easat-5993	424	37	,	,	PUNCT
easat-5993	424	38	vol	vol	NOUN
easat-5993	424	39	.	.	PROPN
easat-5993	424	40	33	33	NUM
easat-5993	424	41	,	,	PUNCT
easat-5993	424	42	p.	p.	NOUN
easat-5993	424	43	101117	101117	NUM
easat-5993	424	44	,	,	PUNCT
easat-5993	424	45	2024	2024	NUM
easat-5993	424	46	.	.	PUNCT
easat-5993	425	1	[	[	X
easat-5993	425	2	44	44	NUM
easat-5993	425	3	]	]	PUNCT
easat-5993	425	4	x.	x.	PROPN
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easat-5993	425	8	.	.	PROPN
easat-5993	425	9	,	,	PUNCT
easat-5993	425	10	"	"	PUNCT
easat-5993	425	11	real	real	ADJ
easat-5993	425	12	-	-	PUNCT
easat-5993	425	13	time	time	NOUN
easat-5993	425	14	mask	mask	NOUN
easat-5993	425	15	identification	identification	NOUN
easat-5993	425	16	for	for	ADP
easat-5993	425	17	covid-19	covid-19	PROPN
easat-5993	425	18	:	:	PUNCT
easat-5993	425	19	an	an	DET
easat-5993	425	20	edge	edge	NOUN
easat-5993	425	21	-	-	PUNCT
easat-5993	425	22	computing	computing	NOUN
easat-5993	425	23	-	-	PUNCT
easat-5993	425	24	based	base	VERB
easat-5993	425	25	deep	deep	ADJ
easat-5993	425	26	learning	learning	NOUN
easat-5993	425	27	framework	framework	NOUN
easat-5993	425	28	,	,	PUNCT
easat-5993	425	29	"	"	PUNCT
easat-5993	425	30	ieee	ieee	NOUN
easat-5993	425	31	internet	internet	NOUN
easat-5993	425	32	of	of	ADP
easat-5993	425	33	things	thing	NOUN
easat-5993	425	34	journal	journal	NOUN
easat-5993	425	35	,	,	PUNCT
easat-5993	425	36	vol	vol	NOUN
easat-5993	425	37	.	.	PROPN
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easat-5993	425	39	,	,	PUNCT
easat-5993	425	40	no	no	INTJ
easat-5993	425	41	.	.	NOUN
easat-5993	425	42	21	21	NUM
easat-5993	425	43	,	,	PUNCT
easat-5993	425	44	pp	pp	ADJ
easat-5993	425	45	.	.	PUNCT
easat-5993	426	1	15929	15929	NUM
easat-5993	426	2	-	-	SYM
easat-5993	426	3	15938	15938	NUM
easat-5993	426	4	,	,	PUNCT
easat-5993	426	5	2021	2021	NUM
easat-5993	426	6	.	.	PUNCT
easat-5993	427	1	[	[	X
easat-5993	427	2	45	45	NUM
easat-5993	427	3	]	]	PUNCT
easat-5993	427	4	a.	a.	NOUN
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easat-5993	427	6	and	and	CCONJ
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easat-5993	427	8	swarnkar	swarnkar	NOUN
easat-5993	427	9	,	,	PUNCT
easat-5993	427	10	"	"	PUNCT
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easat-5993	427	12	-	-	PUNCT
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easat-5993	427	14	:	:	PUNCT
easat-5993	427	15	an	an	DET
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easat-5993	427	17	data	data	NOUN
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easat-5993	427	19	technique	technique	NOUN
easat-5993	427	20	for	for	ADP
easat-5993	427	21	covid	covid	PROPN
easat-5993	427	22	cxr	cxr	NOUN
easat-5993	427	23	image	image	NOUN
easat-5993	427	24	classification	classification	NOUN
easat-5993	427	25	,	,	PUNCT
easat-5993	427	26	"	"	PUNCT
easat-5993	427	27	presented	present	VERB
easat-5993	427	28	at	at	ADP
easat-5993	427	29	the	the	PRON
easat-5993	427	30	in	in	ADP
easat-5993	427	31	2023	2023	NUM
easat-5993	427	32	2nd	2nd	ADJ
easat-5993	427	33	international	international	ADJ
easat-5993	427	34	conference	conference	NOUN
easat-5993	427	35	on	on	ADP
easat-5993	427	36	ambient	ambient	ADJ
easat-5993	427	37	intelligence	intelligence	NOUN
easat-5993	427	38	in	in	ADP
easat-5993	427	39	health	health	NOUN
easat-5993	427	40	care	care	NOUN
easat-5993	427	41	(	(	PUNCT
easat-5993	427	42	icaihc	icaihc	PROPN
easat-5993	427	43	)	)	PUNCT
easat-5993	427	44	(	(	PUNCT
easat-5993	427	45	pp	pp	X
easat-5993	427	46	.	.	PUNCT
easat-5993	428	1	1	1	NUM
easat-5993	428	2	-	-	SYM
easat-5993	428	3	7	7	NUM
easat-5993	428	4	)	)	PUNCT
easat-5993	428	5	,	,	PUNCT
easat-5993	428	6	2023	2023	NUM
easat-5993	428	7	.	.	PUNCT
easat-5993	429	1	[	[	X
easat-5993	429	2	46	46	NUM
easat-5993	429	3	]	]	X
easat-5993	429	4	s.	s.	PROPN
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easat-5993	429	6	,	,	PUNCT
easat-5993	429	7	s.	s.	PROPN
easat-5993	429	8	m.	m.	PROPN
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easat-5993	429	10	,	,	PUNCT
easat-5993	429	11	and	and	CCONJ
easat-5993	429	12	a.	a.	PROPN
easat-5993	429	13	lewis	lewis	PROPN
easat-5993	429	14	,	,	PUNCT
easat-5993	429	15	"	"	PUNCT
easat-5993	429	16	grey	grey	ADJ
easat-5993	429	17	wolf	wolf	PROPN
easat-5993	429	18	optimizer	optimizer	NOUN
easat-5993	429	19	,	,	PUNCT
easat-5993	429	20	"	"	PUNCT
easat-5993	429	21	advances	advance	NOUN
easat-5993	429	22	in	in	ADP
easat-5993	429	23	engineering	engineering	NOUN
easat-5993	429	24	software	software	NOUN
easat-5993	429	25	,	,	PUNCT
easat-5993	429	26	vol	vol	NOUN
easat-5993	429	27	.	.	PROPN
easat-5993	429	28	69	69	NUM
easat-5993	429	29	,	,	PUNCT
easat-5993	429	30	pp	pp	ADJ
easat-5993	429	31	.	.	PUNCT
easat-5993	430	1	46	46	NUM
easat-5993	430	2	-	-	SYM
easat-5993	430	3	61	61	NUM
easat-5993	430	4	,	,	PUNCT
easat-5993	430	5	2014	2014	NUM
easat-5993	430	6	.	.	PUNCT
easat-5993	431	1	[	[	X
easat-5993	431	2	47	47	NUM
easat-5993	431	3	]	]	PUNCT
easat-5993	431	4	p.	p.	PROPN
easat-5993	431	5	hu	hu	PROPN
easat-5993	431	6	,	,	PUNCT
easat-5993	431	7	j.	j.	PROPN
easat-5993	431	8	s.	s.	PROPN
easat-5993	431	9	pan	pan	PROPN
easat-5993	431	10	,	,	PUNCT
easat-5993	431	11	and	and	CCONJ
easat-5993	431	12	s.	s.	PROPN
easat-5993	431	13	c.	c.	PROPN
easat-5993	431	14	chu	chu	PROPN
easat-5993	431	15	,	,	PUNCT
easat-5993	431	16	"	"	PUNCT
easat-5993	431	17	improved	improve	VERB
easat-5993	431	18	binary	binary	ADJ
easat-5993	431	19	grey	grey	ADJ
easat-5993	431	20	wolf	wolf	PROPN
easat-5993	431	21	optimizer	optimizer	NOUN
easat-5993	431	22	and	and	CCONJ
easat-5993	431	23	its	its	PRON
easat-5993	431	24	application	application	NOUN
easat-5993	431	25	for	for	ADP
easat-5993	431	26	feature	feature	NOUN
easat-5993	431	27	selection	selection	NOUN
easat-5993	431	28	,	,	PUNCT
easat-5993	431	29	"	"	PUNCT
easat-5993	431	30	knowl	knowl	NOUN
easat-5993	431	31	.	.	PUNCT
easat-5993	432	1	based	base	VERB
easat-5993	432	2	syst	syst	NOUN
easat-5993	432	3	,	,	PUNCT
easat-5993	432	4	vol	vol	NOUN
easat-5993	432	5	.	.	PROPN
easat-5993	432	6	195	195	NUM
easat-5993	432	7	,	,	PUNCT
easat-5993	432	8	p.	p.	NOUN
easat-5993	432	9	105746	105746	NUM
easat-5993	432	10	,	,	PUNCT
easat-5993	432	11	2020	2020	NUM
easat-5993	432	12	.	.	PUNCT
easat-5993	433	1	https://doi.org/10.1007/s00521-022-07052-4	https://doi.org/10.1007/s00521-022-07052-4	VERB