id	sid	tid	token	lemma	pos
ijassa-1300	1	1	microsoft	microsoft	PROPN
ijassa-1300	1	2	word	word	NOUN
ijassa-1300	1	3	1300	1300	NUM
ijassa-1300	1	4	-	-	PUNCT
ijassa-1300	1	5	article	article	NOUN
ijassa-1300	1	6	text-6397	text-6397	ADJ
ijassa-1300	1	7	-	-	PUNCT
ijassa-1300	1	8	1	1	NUM
ijassa-1300	1	9	-	-	PUNCT
ijassa-1300	1	10	18	18	NUM
ijassa-1300	1	11	-	-	PUNCT
ijassa-1300	1	12	20231013	20231013	NUM
ijassa-1300	1	13	adv	adv	PROPN
ijassa-1300	1	14	syst	syst	PROPN
ijassa-1300	1	15	sci	sci	PROPN
ijassa-1300	1	16	appl	appl	PROPN
ijassa-1300	1	17	2023	2023	NUM
ijassa-1300	1	18	;	;	PUNCT
ijassa-1300	1	19	03	03	NUM
ijassa-1300	1	20	;	;	PUNCT
ijassa-1300	1	21	164	164	NUM
ijassa-1300	1	22	-	-	SYM
ijassa-1300	1	23	176	176	NUM
ijassa-1300	1	24	published	publish	VERB
ijassa-1300	1	25	online	online	ADV
ijassa-1300	1	26	at	at	ADP
ijassa-1300	1	27	https://ijassa.ipu.ru	https://ijassa.ipu.ru	ADJ
ijassa-1300	1	28	.	.	PUNCT
ijassa-1300	2	1	semantic	semantic	ADJ
ijassa-1300	2	2	image	image	NOUN
ijassa-1300	2	3	segmentation	segmentation	NOUN
ijassa-1300	2	4	using	use	VERB
ijassa-1300	2	5	a	a	DET
ijassa-1300	2	6	hybrid	hybrid	ADJ
ijassa-1300	2	7	genetic	genetic	ADJ
ijassa-1300	2	8	–	–	PUNCT
ijassa-1300	2	9	cuckoo	cuckoo	NOUN
ijassa-1300	2	10	search	search	NOUN
ijassa-1300	2	11	algorithm	algorithm	NOUN
ijassa-1300	2	12	alaa	alaa	PROPN
ijassa-1300	2	13	abu	abu	PROPN
ijassa-1300	2	14	srhan1	srhan1	PROPN
ijassa-1300	2	15	*	*	PROPN
ijassa-1300	2	16	,	,	PUNCT
ijassa-1300	2	17	mais	mais	X
ijassa-1300	2	18	haj	haj	PROPN
ijassa-1300	2	19	qasem2	qasem2	PROPN
ijassa-1300	2	20	,	,	PUNCT
ijassa-1300	2	21	hutaf	hutaf	PROPN
ijassa-1300	2	22	natoureah1	natoureah1	PROPN
ijassa-1300	2	23	,	,	PUNCT
ijassa-1300	2	24	aayat	aayat	PROPN
ijassa-1300	2	25	shdaifat1	shdaifat1	NOUN
ijassa-1300	2	26	1	1	NUM
ijassa-1300	2	27	)	)	PUNCT
ijassa-1300	2	28	department	department	NOUN
ijassa-1300	2	29	of	of	ADP
ijassa-1300	2	30	basic	basic	ADJ
ijassa-1300	2	31	science	science	NOUN
ijassa-1300	2	32	,	,	PUNCT
ijassa-1300	2	33	faculty	faculty	NOUN
ijassa-1300	2	34	of	of	ADP
ijassa-1300	2	35	science	science	NOUN
ijassa-1300	2	36	,	,	PUNCT
ijassa-1300	2	37	the	the	DET
ijassa-1300	2	38	hashemite	hashemite	PROPN
ijassa-1300	2	39	university	university	PROPN
ijassa-1300	2	40	,	,	PUNCT
ijassa-1300	2	41	zarqa	zarqa	PROPN
ijassa-1300	2	42	,	,	PUNCT
ijassa-1300	2	43	jordan	jordan	PROPN
ijassa-1300	2	44	2)faculty	2)faculty	NUM
ijassa-1300	2	45	of	of	ADP
ijassa-1300	2	46	information	information	NOUN
ijassa-1300	2	47	technology	technology	NOUN
ijassa-1300	2	48	,	,	PUNCT
ijassa-1300	2	49	computer	computer	NOUN
ijassa-1300	2	50	science	science	PROPN
ijassa-1300	2	51	department	department	PROPN
ijassa-1300	2	52	,	,	PUNCT
ijassa-1300	2	53	zarqa	zarqa	PROPN
ijassa-1300	2	54	university	university	PROPN
ijassa-1300	2	55	,	,	PUNCT
ijassa-1300	2	56	jordan	jordan	PROPN
ijassa-1300	2	57	abstract	abstract	PROPN
ijassa-1300	2	58	:	:	PUNCT
ijassa-1300	2	59	image	image	NOUN
ijassa-1300	2	60	segmentation	segmentation	NOUN
ijassa-1300	2	61	is	be	AUX
ijassa-1300	2	62	the	the	DET
ijassa-1300	2	63	process	process	NOUN
ijassa-1300	2	64	of	of	ADP
ijassa-1300	2	65	dividing	divide	VERB
ijassa-1300	2	66	a	a	DET
ijassa-1300	2	67	given	give	VERB
ijassa-1300	2	68	image	image	NOUN
ijassa-1300	2	69	into	into	ADP
ijassa-1300	2	70	a	a	DET
ijassa-1300	2	71	set	set	NOUN
ijassa-1300	2	72	of	of	ADP
ijassa-1300	2	73	regions	region	NOUN
ijassa-1300	2	74	or	or	CCONJ
ijassa-1300	2	75	categories	category	NOUN
ijassa-1300	2	76	.	.	PUNCT
ijassa-1300	3	1	the	the	DET
ijassa-1300	3	2	goal	goal	NOUN
ijassa-1300	3	3	of	of	ADP
ijassa-1300	3	4	image	image	NOUN
ijassa-1300	3	5	segmentation	segmentation	NOUN
ijassa-1300	3	6	is	be	AUX
ijassa-1300	3	7	to	to	PART
ijassa-1300	3	8	change	change	VERB
ijassa-1300	3	9	the	the	DET
ijassa-1300	3	10	image	image	NOUN
ijassa-1300	3	11	representation	representation	NOUN
ijassa-1300	3	12	into	into	ADP
ijassa-1300	3	13	a	a	DET
ijassa-1300	3	14	form	form	NOUN
ijassa-1300	3	15	that	that	PRON
ijassa-1300	3	16	is	be	AUX
ijassa-1300	3	17	substantially	substantially	ADV
ijassa-1300	3	18	meaningful	meaningful	ADJ
ijassa-1300	3	19	and	and	CCONJ
ijassa-1300	3	20	easy	easy	ADJ
ijassa-1300	3	21	to	to	PART
ijassa-1300	3	22	analyze	analyze	VERB
ijassa-1300	3	23	.	.	PUNCT
ijassa-1300	4	1	metaheuristic	metaheuristic	ADJ
ijassa-1300	4	2	optimization	optimization	NOUN
ijassa-1300	4	3	algorithms	algorithm	NOUN
ijassa-1300	4	4	are	be	AUX
ijassa-1300	4	5	widely	widely	ADV
ijassa-1300	4	6	used	use	VERB
ijassa-1300	4	7	algorithms	algorithm	NOUN
ijassa-1300	4	8	for	for	ADP
ijassa-1300	4	9	many	many	ADJ
ijassa-1300	4	10	applications	application	NOUN
ijassa-1300	4	11	among	among	ADP
ijassa-1300	4	12	them	they	PRON
ijassa-1300	4	13	is	be	AUX
ijassa-1300	4	14	image	image	NOUN
ijassa-1300	4	15	segmentation	segmentation	NOUN
ijassa-1300	4	16	.	.	PUNCT
ijassa-1300	5	1	genetic	genetic	ADJ
ijassa-1300	5	2	algorithm	algorithm	NOUN
ijassa-1300	5	3	(	(	PUNCT
ijassa-1300	5	4	ga	ga	NOUN
ijassa-1300	5	5	)	)	PUNCT
ijassa-1300	5	6	and	and	CCONJ
ijassa-1300	5	7	cuckoo	cuckoo	NOUN
ijassa-1300	5	8	search	search	NOUN
ijassa-1300	5	9	(	(	PUNCT
ijassa-1300	5	10	cs	cs	ADJ
ijassa-1300	5	11	)	)	PUNCT
ijassa-1300	5	12	algorithm	algorithm	NOUN
ijassa-1300	5	13	are	be	AUX
ijassa-1300	5	14	among	among	ADP
ijassa-1300	5	15	the	the	DET
ijassa-1300	5	16	most	most	ADV
ijassa-1300	5	17	popular	popular	ADJ
ijassa-1300	5	18	metaheuristic	metaheuristic	ADJ
ijassa-1300	5	19	algorithms	algorithm	NOUN
ijassa-1300	5	20	.	.	PUNCT
ijassa-1300	6	1	in	in	ADP
ijassa-1300	6	2	this	this	DET
ijassa-1300	6	3	paper	paper	NOUN
ijassa-1300	6	4	,	,	PUNCT
ijassa-1300	6	5	a	a	DET
ijassa-1300	6	6	hybrid	hybrid	ADJ
ijassa-1300	6	7	cs	cs	PROPN
ijassa-1300	6	8	and	and	CCONJ
ijassa-1300	6	9	ga	ga	PROPN
ijassa-1300	6	10	(	(	PUNCT
ijassa-1300	6	11	csga	csga	PROPN
ijassa-1300	6	12	)	)	PUNCT
ijassa-1300	6	13	has	have	AUX
ijassa-1300	6	14	been	be	AUX
ijassa-1300	6	15	used	use	VERB
ijassa-1300	6	16	to	to	PART
ijassa-1300	6	17	perform	perform	VERB
ijassa-1300	6	18	image	image	NOUN
ijassa-1300	6	19	segmentation	segmentation	NOUN
ijassa-1300	6	20	and	and	CCONJ
ijassa-1300	6	21	object	object	NOUN
ijassa-1300	6	22	detection	detection	NOUN
ijassa-1300	6	23	,	,	PUNCT
ijassa-1300	6	24	then	then	ADV
ijassa-1300	6	25	compared	compare	VERB
ijassa-1300	6	26	with	with	ADP
ijassa-1300	6	27	other	other	ADJ
ijassa-1300	6	28	popular	popular	ADJ
ijassa-1300	6	29	algorithms	algorithm	NOUN
ijassa-1300	6	30	for	for	ADP
ijassa-1300	6	31	image	image	NOUN
ijassa-1300	6	32	segmentation	segmentation	NOUN
ijassa-1300	6	33	which	which	PRON
ijassa-1300	6	34	are	be	AUX
ijassa-1300	6	35	fuzzy	fuzzy	ADJ
ijassa-1300	6	36	c	c	NOUN
ijassa-1300	6	37	-	-	PUNCT
ijassa-1300	6	38	mean	mean	ADJ
ijassa-1300	6	39	(	(	PUNCT
ijassa-1300	6	40	fcm	fcm	PROPN
ijassa-1300	6	41	)	)	PUNCT
ijassa-1300	6	42	,	,	PUNCT
ijassa-1300	6	43	k	k	X
ijassa-1300	6	44	-	-	PUNCT
ijassa-1300	6	45	means	mean	VERB
ijassa-1300	6	46	algorithms	algorithm	NOUN
ijassa-1300	6	47	,	,	PUNCT
ijassa-1300	6	48	and	and	CCONJ
ijassa-1300	6	49	ga	ga	PROPN
ijassa-1300	6	50	.	.	PROPN
ijassa-1300	6	51	simulation	simulation	PROPN
ijassa-1300	6	52	results	result	NOUN
ijassa-1300	6	53	of	of	ADP
ijassa-1300	6	54	the	the	DET
ijassa-1300	6	55	statistical	statistical	ADJ
ijassa-1300	6	56	measures	measure	NOUN
ijassa-1300	6	57	of	of	ADP
ijassa-1300	6	58	the	the	DET
ijassa-1300	6	59	performance	performance	NOUN
ijassa-1300	6	60	corroborate	corroborate	VERB
ijassa-1300	6	61	that	that	SCONJ
ijassa-1300	6	62	csga	csga	PROPN
ijassa-1300	6	63	outperforms	outperform	VERB
ijassa-1300	6	64	other	other	ADJ
ijassa-1300	6	65	compared	compare	VERB
ijassa-1300	6	66	methods	method	NOUN
ijassa-1300	6	67	.	.	PUNCT
ijassa-1300	7	1	keywords	keyword	NOUN
ijassa-1300	7	2	:	:	PUNCT
ijassa-1300	7	3	cuckoo	cuckoo	NOUN
ijassa-1300	7	4	search	search	NOUN
ijassa-1300	7	5	algorithm	algorithm	NOUN
ijassa-1300	7	6	,	,	PUNCT
ijassa-1300	7	7	genetic	genetic	ADJ
ijassa-1300	7	8	algorithm	algorithm	NOUN
ijassa-1300	7	9	,	,	PUNCT
ijassa-1300	7	10	image	image	NOUN
ijassa-1300	7	11	segmentation	segmentation	NOUN
ijassa-1300	7	12	,	,	PUNCT
ijassa-1300	7	13	fuzzy	fuzzy	ADJ
ijassa-1300	7	14	c	c	NOUN
ijassa-1300	7	15	-	-	PUNCT
ijassa-1300	7	16	means	mean	NOUN
ijassa-1300	7	17	,	,	PUNCT
ijassa-1300	7	18	kmeans	kmean	NOUN
ijassa-1300	7	19	algorithms	algorithm	VERB
ijassa-1300	7	20	.	.	PUNCT
ijassa-1300	8	1	1	1	X
ijassa-1300	8	2	.	.	X
ijassa-1300	8	3	introduction	introduction	NOUN
ijassa-1300	8	4	image	image	NOUN
ijassa-1300	8	5	segmentation	segmentation	NOUN
ijassa-1300	8	6	refers	refer	VERB
ijassa-1300	8	7	to	to	ADP
ijassa-1300	8	8	the	the	DET
ijassa-1300	8	9	process	process	NOUN
ijassa-1300	8	10	of	of	ADP
ijassa-1300	8	11	dividing	divide	VERB
ijassa-1300	8	12	an	an	DET
ijassa-1300	8	13	image	image	NOUN
ijassa-1300	8	14	into	into	ADP
ijassa-1300	8	15	a	a	DET
ijassa-1300	8	16	set	set	NOUN
ijassa-1300	8	17	of	of	ADP
ijassa-1300	8	18	regions	region	NOUN
ijassa-1300	8	19	or	or	CCONJ
ijassa-1300	8	20	categories	category	NOUN
ijassa-1300	8	21	,	,	PUNCT
ijassa-1300	8	22	which	which	PRON
ijassa-1300	8	23	correspond	correspond	VERB
ijassa-1300	8	24	to	to	ADP
ijassa-1300	8	25	different	different	ADJ
ijassa-1300	8	26	objects	object	NOUN
ijassa-1300	8	27	or	or	CCONJ
ijassa-1300	8	28	parts	part	NOUN
ijassa-1300	8	29	of	of	ADP
ijassa-1300	8	30	objects	object	NOUN
ijassa-1300	8	31	.	.	PUNCT
ijassa-1300	9	1	every	every	DET
ijassa-1300	9	2	pixel	pixel	NOUN
ijassa-1300	9	3	in	in	ADP
ijassa-1300	9	4	an	an	DET
ijassa-1300	9	5	image	image	NOUN
ijassa-1300	9	6	is	be	AUX
ijassa-1300	9	7	allocated	allocate	VERB
ijassa-1300	9	8	to	to	ADP
ijassa-1300	9	9	one	one	NUM
ijassa-1300	9	10	of	of	ADP
ijassa-1300	9	11	these	these	DET
ijassa-1300	9	12	categories	category	NOUN
ijassa-1300	9	13	.	.	PUNCT
ijassa-1300	10	1	tasks	task	NOUN
ijassa-1300	10	2	that	that	PRON
ijassa-1300	10	3	use	use	VERB
ijassa-1300	10	4	image	image	NOUN
ijassa-1300	10	5	segmentation	segmentation	NOUN
ijassa-1300	10	6	aim	aim	VERB
ijassa-1300	10	7	to	to	PART
ijassa-1300	10	8	represent	represent	VERB
ijassa-1300	10	9	meaningful	meaningful	ADJ
ijassa-1300	10	10	areas	area	NOUN
ijassa-1300	10	11	of	of	ADP
ijassa-1300	10	12	the	the	DET
ijassa-1300	10	13	image	image	NOUN
ijassa-1300	10	14	,	,	PUNCT
ijassa-1300	10	15	such	such	ADJ
ijassa-1300	10	16	as	as	ADP
ijassa-1300	10	17	crops	crop	NOUN
ijassa-1300	10	18	,	,	PUNCT
ijassa-1300	10	19	urban	urban	ADJ
ijassa-1300	10	20	areas	area	NOUN
ijassa-1300	10	21	,	,	PUNCT
ijassa-1300	10	22	and	and	CCONJ
ijassa-1300	10	23	forests	forest	NOUN
ijassa-1300	10	24	shown	show	VERB
ijassa-1300	10	25	in	in	ADP
ijassa-1300	10	26	a	a	DET
ijassa-1300	10	27	satellite	satellite	NOUN
ijassa-1300	10	28	image	image	NOUN
ijassa-1300	10	29	[	[	X
ijassa-1300	10	30	5	5	NUM
ijassa-1300	10	31	]	]	PUNCT
ijassa-1300	10	32	.	.	PUNCT
ijassa-1300	11	1	in	in	ADP
ijassa-1300	11	2	other	other	ADJ
ijassa-1300	11	3	analysis	analysis	NOUN
ijassa-1300	11	4	tasks	task	NOUN
ijassa-1300	11	5	,	,	PUNCT
ijassa-1300	11	6	the	the	DET
ijassa-1300	11	7	regions	region	NOUN
ijassa-1300	11	8	can	can	AUX
ijassa-1300	11	9	be	be	AUX
ijassa-1300	11	10	sets	set	NOUN
ijassa-1300	11	11	of	of	ADP
ijassa-1300	11	12	border	border	NOUN
ijassa-1300	11	13	pixels	pixel	NOUN
ijassa-1300	11	14	grouped	group	VERB
ijassa-1300	11	15	into	into	ADP
ijassa-1300	11	16	structures	structure	NOUN
ijassa-1300	11	17	,	,	PUNCT
ijassa-1300	11	18	such	such	ADJ
ijassa-1300	11	19	as	as	ADP
ijassa-1300	11	20	line	line	NOUN
ijassa-1300	11	21	and	and	CCONJ
ijassa-1300	11	22	circular	circular	ADJ
ijassa-1300	11	23	arc	arc	NOUN
ijassa-1300	11	24	segments	segment	NOUN
ijassa-1300	11	25	in	in	ADP
ijassa-1300	11	26	the	the	DET
ijassa-1300	11	27	images	image	NOUN
ijassa-1300	11	28	of	of	ADP
ijassa-1300	11	29	3d	3d	NUM
ijassa-1300	11	30	industrial	industrial	ADJ
ijassa-1300	11	31	objects	object	NOUN
ijassa-1300	11	32	[	[	X
ijassa-1300	11	33	3	3	NUM
ijassa-1300	11	34	]	]	PUNCT
ijassa-1300	11	35	.	.	PUNCT
ijassa-1300	12	1	image	image	NOUN
ijassa-1300	12	2	segmentation	segmentation	NOUN
ijassa-1300	12	3	aims	aim	VERB
ijassa-1300	12	4	to	to	PART
ijassa-1300	12	5	understand	understand	VERB
ijassa-1300	12	6	the	the	DET
ijassa-1300	12	7	image	image	NOUN
ijassa-1300	12	8	and	and	CCONJ
ijassa-1300	12	9	extraction	extraction	NOUN
ijassa-1300	12	10	information	information	NOUN
ijassa-1300	12	11	from	from	ADP
ijassa-1300	12	12	a	a	DET
ijassa-1300	12	13	particular	particular	ADJ
ijassa-1300	12	14	image	image	NOUN
ijassa-1300	12	15	to	to	PART
ijassa-1300	12	16	accomplish	accomplish	VERB
ijassa-1300	12	17	certain	certain	ADJ
ijassa-1300	12	18	tasks	task	NOUN
ijassa-1300	12	19	.	.	PUNCT
ijassa-1300	13	1	thus	thus	ADV
ijassa-1300	13	2	,	,	PUNCT
ijassa-1300	13	3	image	image	NOUN
ijassa-1300	13	4	segmentation	segmentation	NOUN
ijassa-1300	13	5	has	have	VERB
ijassa-1300	13	6	important	important	ADJ
ijassa-1300	13	7	applications	application	NOUN
ijassa-1300	13	8	in	in	ADP
ijassa-1300	13	9	digital	digital	ADJ
ijassa-1300	13	10	image	image	NOUN
ijassa-1300	13	11	technology	technology	NOUN
ijassa-1300	13	12	[	[	X
ijassa-1300	13	13	25	25	NUM
ijassa-1300	13	14	]	]	PUNCT
ijassa-1300	13	15	.	.	PUNCT
ijassa-1300	14	1	recently	recently	ADV
ijassa-1300	14	2	,	,	PUNCT
ijassa-1300	14	3	image	image	NOUN
ijassa-1300	14	4	segmentation	segmentation	NOUN
ijassa-1300	14	5	has	have	AUX
ijassa-1300	14	6	emerged	emerge	VERB
ijassa-1300	14	7	as	as	ADP
ijassa-1300	14	8	one	one	NUM
ijassa-1300	14	9	of	of	ADP
ijassa-1300	14	10	the	the	DET
ijassa-1300	14	11	hotspots	hotspot	NOUN
ijassa-1300	14	12	in	in	ADP
ijassa-1300	14	13	image	image	NOUN
ijassa-1300	14	14	processing	processing	NOUN
ijassa-1300	14	15	and	and	CCONJ
ijassa-1300	14	16	computer	computer	NOUN
ijassa-1300	14	17	vision	vision	NOUN
ijassa-1300	14	18	and	and	CCONJ
ijassa-1300	14	19	an	an	DET
ijassa-1300	14	20	important	important	ADJ
ijassa-1300	14	21	basis	basis	NOUN
ijassa-1300	14	22	for	for	ADP
ijassa-1300	14	23	image	image	NOUN
ijassa-1300	14	24	recognition	recognition	NOUN
ijassa-1300	14	25	.	.	PUNCT
ijassa-1300	15	1	image	image	NOUN
ijassa-1300	15	2	segmentation	segmentation	NOUN
ijassa-1300	15	3	has	have	VERB
ijassa-1300	15	4	two	two	NUM
ijassa-1300	15	5	objectives	objective	NOUN
ijassa-1300	15	6	.	.	PUNCT
ijassa-1300	16	1	the	the	DET
ijassa-1300	16	2	first	first	ADJ
ijassa-1300	16	3	objective	objective	NOUN
ijassa-1300	16	4	is	be	AUX
ijassa-1300	16	5	to	to	PART
ijassa-1300	16	6	decompose	decompose	VERB
ijassa-1300	16	7	an	an	DET
ijassa-1300	16	8	image	image	NOUN
ijassa-1300	16	9	into	into	ADP
ijassa-1300	16	10	parts	part	NOUN
ijassa-1300	16	11	for	for	ADP
ijassa-1300	16	12	further	further	ADJ
ijassa-1300	16	13	analysis	analysis	NOUN
ijassa-1300	16	14	.	.	PUNCT
ijassa-1300	17	1	in	in	ADP
ijassa-1300	17	2	simple	simple	ADJ
ijassa-1300	17	3	cases	case	NOUN
ijassa-1300	17	4	,	,	PUNCT
ijassa-1300	17	5	the	the	DET
ijassa-1300	17	6	environment	environment	NOUN
ijassa-1300	17	7	may	may	AUX
ijassa-1300	17	8	be	be	AUX
ijassa-1300	17	9	controlled	control	VERB
ijassa-1300	17	10	sufficiently	sufficiently	ADV
ijassa-1300	17	11	,	,	PUNCT
ijassa-1300	17	12	such	such	ADJ
ijassa-1300	17	13	that	that	SCONJ
ijassa-1300	17	14	the	the	DET
ijassa-1300	17	15	segmentation	segmentation	NOUN
ijassa-1300	17	16	process	process	NOUN
ijassa-1300	17	17	reliably	reliably	ADV
ijassa-1300	17	18	extracts	extract	VERB
ijassa-1300	17	19	only	only	ADV
ijassa-1300	17	20	the	the	DET
ijassa-1300	17	21	parts	part	NOUN
ijassa-1300	17	22	that	that	PRON
ijassa-1300	17	23	must	must	AUX
ijassa-1300	17	24	be	be	AUX
ijassa-1300	17	25	analyzed	analyze	VERB
ijassa-1300	17	26	further	far	ADV
ijassa-1300	17	27	.	.	PUNCT
ijassa-1300	18	1	the	the	DET
ijassa-1300	18	2	second	second	ADJ
ijassa-1300	18	3	objective	objective	NOUN
ijassa-1300	18	4	is	be	AUX
ijassa-1300	18	5	to	to	PART
ijassa-1300	18	6	perform	perform	VERB
ijassa-1300	18	7	a	a	DET
ijassa-1300	18	8	change	change	NOUN
ijassa-1300	18	9	of	of	ADP
ijassa-1300	18	10	representation	representation	NOUN
ijassa-1300	18	11	.	.	PUNCT
ijassa-1300	19	1	the	the	DET
ijassa-1300	19	2	pixels	pixel	NOUN
ijassa-1300	19	3	of	of	ADP
ijassa-1300	19	4	an	an	DET
ijassa-1300	19	5	image	image	NOUN
ijassa-1300	19	6	must	must	AUX
ijassa-1300	19	7	be	be	AUX
ijassa-1300	19	8	organized	organize	VERB
ijassa-1300	19	9	into	into	ADP
ijassa-1300	19	10	high	high	ADJ
ijassa-1300	19	11	-	-	PUNCT
ijassa-1300	19	12	level	level	NOUN
ijassa-1300	19	13	units	unit	NOUN
ijassa-1300	19	14	that	that	PRON
ijassa-1300	19	15	are	be	AUX
ijassa-1300	19	16	either	either	CCONJ
ijassa-1300	19	17	substantially	substantially	ADV
ijassa-1300	19	18	meaningful	meaningful	ADJ
ijassa-1300	19	19	or	or	CCONJ
ijassa-1300	19	20	efficient	efficient	ADJ
ijassa-1300	19	21	for	for	ADP
ijassa-1300	19	22	further	further	ADJ
ijassa-1300	19	23	analysis	analysis	NOUN
ijassa-1300	19	24	[	[	X
ijassa-1300	19	25	4	4	NUM
ijassa-1300	19	26	]	]	PUNCT
ijassa-1300	19	27	.	.	PUNCT
ijassa-1300	20	1	various	various	ADJ
ijassa-1300	20	2	techniques	technique	NOUN
ijassa-1300	20	3	for	for	ADP
ijassa-1300	20	4	image	image	NOUN
ijassa-1300	20	5	segmentation	segmentation	NOUN
ijassa-1300	20	6	have	have	AUX
ijassa-1300	20	7	been	be	AUX
ijassa-1300	20	8	recognized	recognize	VERB
ijassa-1300	20	9	by	by	ADP
ijassa-1300	20	10	scientists	scientist	NOUN
ijassa-1300	20	11	and	and	CCONJ
ijassa-1300	20	12	researchers	researcher	NOUN
ijassa-1300	20	13	.	.	PUNCT
ijassa-1300	21	1	therefore	therefore	ADV
ijassa-1300	21	2	,	,	PUNCT
ijassa-1300	21	3	several	several	ADJ
ijassa-1300	21	4	of	of	ADP
ijassa-1300	21	5	these	these	DET
ijassa-1300	21	6	techniques	technique	NOUN
ijassa-1300	21	7	are	be	AUX
ijassa-1300	21	8	relatively	relatively	ADV
ijassa-1300	21	9	popular	popular	ADJ
ijassa-1300	21	10	,	,	PUNCT
ijassa-1300	21	11	important	important	ADJ
ijassa-1300	21	12	,	,	PUNCT
ijassa-1300	21	13	and	and	CCONJ
ijassa-1300	21	14	regularly	regularly	ADV
ijassa-1300	21	15	used	use	VERB
ijassa-1300	21	16	for	for	ADP
ijassa-1300	21	17	image	image	NOUN
ijassa-1300	21	18	segmentation	segmentation	NOUN
ijassa-1300	21	19	.	.	PUNCT
ijassa-1300	22	1	image	image	NOUN
ijassa-1300	22	2	segmentation	segmentation	NOUN
ijassa-1300	22	3	techniques	technique	NOUN
ijassa-1300	22	4	can	can	AUX
ijassa-1300	22	5	be	be	AUX
ijassa-1300	22	6	categorized	categorize	VERB
ijassa-1300	22	7	into	into	ADP
ijassa-1300	22	8	two	two	NUM
ijassa-1300	22	9	main	main	ADJ
ijassa-1300	22	10	approaches	approach	NOUN
ijassa-1300	22	11	:	:	PUNCT
ijassa-1300	22	12	boundary	boundary	NOUN
ijassa-1300	22	13	-	-	PUNCT
ijassa-1300	22	14	based	base	VERB
ijassa-1300	22	15	(	(	PUNCT
ijassa-1300	22	16	region	region	NOUN
ijassa-1300	22	17	delimitation	delimitation	NOUN
ijassa-1300	22	18	)	)	PUNCT
ijassa-1300	22	19	and	and	CCONJ
ijassa-1300	22	20	region	region	NOUN
ijassa-1300	22	21	-	-	PUNCT
ijassa-1300	22	22	based	base	VERB
ijassa-1300	22	23	methods	method	NOUN
ijassa-1300	22	24	(	(	PUNCT
ijassa-1300	22	25	pixel	pixel	PROPN
ijassa-1300	22	26	clustering	clustering	NOUN
ijassa-1300	22	27	)	)	PUNCT
ijassa-1300	22	28	.	.	PUNCT
ijassa-1300	23	1	the	the	DET
ijassa-1300	23	2	boundary	boundary	NOUN
ijassa-1300	23	3	-	-	PUNCT
ijassa-1300	23	4	based	base	VERB
ijassa-1300	23	5	methods	method	NOUN
ijassa-1300	23	6	focus	focus	VERB
ijassa-1300	23	7	on	on	ADP
ijassa-1300	23	8	images	image	NOUN
ijassa-1300	23	9	edges	edge	NOUN
ijassa-1300	23	10	while	while	SCONJ
ijassa-1300	23	11	the	the	DET
ijassa-1300	23	12	region	region	NOUN
ijassa-1300	23	13	-	-	PUNCT
ijassa-1300	23	14	based	base	VERB
ijassa-1300	23	15	methods	method	NOUN
ijassa-1300	23	16	generate	generate	VERB
ijassa-1300	23	17	enclosed	enclose	VERB
ijassa-1300	23	18	regions	region	NOUN
ijassa-1300	23	19	[	[	X
ijassa-1300	23	20	11	11	NUM
ijassa-1300	23	21	]	]	PUNCT
ijassa-1300	23	22	.	.	PUNCT
ijassa-1300	24	1	*	*	PUNCT
ijassa-1300	24	2	corresponding	correspond	VERB
ijassa-1300	24	3	author	author	NOUN
ijassa-1300	24	4	:	:	PUNCT
ijassa-1300	24	5	alaaa@hu.edu.jo	alaaa@hu.edu.jo	ADJ
ijassa-1300	24	6	165	165	NUM
ijassa-1300	24	7	semantic	semantic	ADJ
ijassa-1300	24	8	image	image	NOUN
ijassa-1300	24	9	segmentation	segmentation	NOUN
ijassa-1300	24	10	using	use	VERB
ijassa-1300	24	11	a	a	DET
ijassa-1300	24	12	hybrid	hybrid	NOUN
ijassa-1300	24	13	…	…	PUNCT
ijassa-1300	24	14	copyright	copyright	NOUN
ijassa-1300	24	15	©	©	PROPN
ijassa-1300	24	16	2023	2023	NUM
ijassa-1300	24	17	assa	assa	NOUN
ijassa-1300	24	18	.	.	PUNCT
ijassa-1300	25	1	adv	adv	PROPN
ijassa-1300	25	2	.	.	PUNCT
ijassa-1300	26	1	in	in	ADP
ijassa-1300	26	2	systems	system	NOUN
ijassa-1300	26	3	science	science	NOUN
ijassa-1300	26	4	and	and	CCONJ
ijassa-1300	26	5	appl	appl	NOUN
ijassa-1300	26	6	.	.	PUNCT
ijassa-1300	27	1	(	(	PUNCT
ijassa-1300	27	2	2023	2023	NUM
ijassa-1300	27	3	)	)	PUNCT
ijassa-1300	27	4	metaheuristic	metaheuristic	ADJ
ijassa-1300	27	5	algorithms	algorithm	NOUN
ijassa-1300	27	6	are	be	AUX
ijassa-1300	27	7	becoming	become	VERB
ijassa-1300	27	8	an	an	DET
ijassa-1300	27	9	important	important	ADJ
ijassa-1300	27	10	component	component	NOUN
ijassa-1300	27	11	of	of	ADP
ijassa-1300	27	12	modern	modern	ADJ
ijassa-1300	27	13	optimization	optimization	NOUN
ijassa-1300	27	14	and	and	CCONJ
ijassa-1300	27	15	their	their	PRON
ijassa-1300	27	16	general	general	ADJ
ijassa-1300	27	17	-	-	PUNCT
ijassa-1300	27	18	purpose	purpose	NOUN
ijassa-1300	27	19	stochastic	stochastic	NOUN
ijassa-1300	27	20	procedures	procedure	NOUN
ijassa-1300	27	21	are	be	AUX
ijassa-1300	27	22	designed	design	VERB
ijassa-1300	27	23	to	to	PART
ijassa-1300	27	24	solve	solve	VERB
ijassa-1300	27	25	complex	complex	ADJ
ijassa-1300	27	26	optimization	optimization	NOUN
ijassa-1300	27	27	problems	problem	NOUN
ijassa-1300	27	28	[	[	X
ijassa-1300	27	29	15	15	NUM
ijassa-1300	27	30	]	]	PUNCT
ijassa-1300	27	31	.	.	PUNCT
ijassa-1300	28	1	these	these	DET
ijassa-1300	28	2	algorithms	algorithm	NOUN
ijassa-1300	28	3	are	be	AUX
ijassa-1300	28	4	approximate	approximate	ADJ
ijassa-1300	28	5	and	and	CCONJ
ijassa-1300	28	6	often	often	ADV
ijassa-1300	28	7	non	non	ADJ
ijassa-1300	28	8	-	-	ADJ
ijassa-1300	28	9	deterministic	deterministic	ADJ
ijassa-1300	28	10	algorithms	algorithm	NOUN
ijassa-1300	28	11	that	that	PRON
ijassa-1300	28	12	guide	guide	VERB
ijassa-1300	28	13	a	a	DET
ijassa-1300	28	14	search	search	NOUN
ijassa-1300	28	15	process	process	NOUN
ijassa-1300	28	16	over	over	ADP
ijassa-1300	28	17	the	the	DET
ijassa-1300	28	18	solution	solution	NOUN
ijassa-1300	28	19	space	space	NOUN
ijassa-1300	28	20	.	.	PUNCT
ijassa-1300	29	1	unlike	unlike	ADP
ijassa-1300	29	2	methods	method	NOUN
ijassa-1300	29	3	designed	design	VERB
ijassa-1300	29	4	specifically	specifically	ADV
ijassa-1300	29	5	for	for	ADP
ijassa-1300	29	6	particular	particular	ADJ
ijassa-1300	29	7	types	type	NOUN
ijassa-1300	29	8	of	of	ADP
ijassa-1300	29	9	optimization	optimization	NOUN
ijassa-1300	29	10	tasks	task	NOUN
ijassa-1300	29	11	,	,	PUNCT
ijassa-1300	29	12	metaheuristic	metaheuristic	ADJ
ijassa-1300	29	13	algorithms	algorithm	NOUN
ijassa-1300	29	14	are	be	AUX
ijassa-1300	29	15	general	general	ADJ
ijassa-1300	29	16	purpose	purpose	NOUN
ijassa-1300	29	17	algorithms	algorithm	NOUN
ijassa-1300	29	18	and	and	CCONJ
ijassa-1300	29	19	require	require	VERB
ijassa-1300	29	20	no	no	DET
ijassa-1300	29	21	particular	particular	ADJ
ijassa-1300	29	22	knowledge	knowledge	NOUN
ijassa-1300	29	23	of	of	ADP
ijassa-1300	29	24	a	a	DET
ijassa-1300	29	25	problem	problem	NOUN
ijassa-1300	29	26	structure	structure	NOUN
ijassa-1300	29	27	other	other	ADJ
ijassa-1300	29	28	than	than	ADP
ijassa-1300	29	29	the	the	DET
ijassa-1300	29	30	objective	objective	ADJ
ijassa-1300	29	31	function	function	NOUN
ijassa-1300	29	32	itself	itself	PRON
ijassa-1300	29	33	[	[	X
ijassa-1300	29	34	10	10	NUM
ijassa-1300	29	35	]	]	PUNCT
ijassa-1300	29	36	.	.	PUNCT
ijassa-1300	30	1	genetic	genetic	ADJ
ijassa-1300	30	2	algorithm	algorithm	NOUN
ijassa-1300	30	3	(	(	PUNCT
ijassa-1300	30	4	ga	ga	NOUN
ijassa-1300	30	5	)	)	PUNCT
ijassa-1300	30	6	and	and	CCONJ
ijassa-1300	30	7	cuckoo	cuckoo	NOUN
ijassa-1300	30	8	search	search	NOUN
ijassa-1300	30	9	(	(	PUNCT
ijassa-1300	30	10	cs	cs	ADJ
ijassa-1300	30	11	)	)	PUNCT
ijassa-1300	30	12	algorithm	algorithm	NOUN
ijassa-1300	31	1	[	[	X
ijassa-1300	31	2	1	1	NUM
ijassa-1300	31	3	]	]	PUNCT
ijassa-1300	31	4	are	be	AUX
ijassa-1300	31	5	among	among	ADP
ijassa-1300	31	6	the	the	DET
ijassa-1300	31	7	most	most	ADV
ijassa-1300	31	8	popular	popular	ADJ
ijassa-1300	31	9	metaheuristic	metaheuristic	ADJ
ijassa-1300	31	10	optimization	optimization	NOUN
ijassa-1300	31	11	algorithms	algorithm	NOUN
ijassa-1300	31	12	that	that	PRON
ijassa-1300	31	13	are	be	AUX
ijassa-1300	31	14	used	use	VERB
ijassa-1300	31	15	to	to	PART
ijassa-1300	31	16	solve	solve	VERB
ijassa-1300	31	17	optimization	optimization	NOUN
ijassa-1300	31	18	problems	problem	NOUN
ijassa-1300	31	19	.	.	PUNCT
ijassa-1300	32	1	ga	ga	PROPN
ijassa-1300	32	2	is	be	AUX
ijassa-1300	32	3	an	an	DET
ijassa-1300	32	4	adaptive	adaptive	ADJ
ijassa-1300	32	5	heuristic	heuristic	ADJ
ijassa-1300	32	6	search	search	NOUN
ijassa-1300	32	7	algorithm	algorithm	NOUN
ijassa-1300	32	8	based	base	VERB
ijassa-1300	32	9	on	on	ADP
ijassa-1300	32	10	the	the	DET
ijassa-1300	32	11	evolutionary	evolutionary	ADJ
ijassa-1300	32	12	ideas	idea	NOUN
ijassa-1300	32	13	of	of	ADP
ijassa-1300	32	14	natural	natural	ADJ
ijassa-1300	32	15	selection	selection	NOUN
ijassa-1300	32	16	and	and	CCONJ
ijassa-1300	32	17	genetics	genetic	NOUN
ijassa-1300	32	18	.	.	PUNCT
ijassa-1300	33	1	by	by	ADP
ijassa-1300	33	2	contrast	contrast	NOUN
ijassa-1300	33	3	,	,	PUNCT
ijassa-1300	33	4	the	the	DET
ijassa-1300	33	5	cs	cs	PROPN
ijassa-1300	33	6	algorithm	algorithm	NOUN
ijassa-1300	33	7	is	be	AUX
ijassa-1300	33	8	a	a	DET
ijassa-1300	33	9	recently	recently	ADV
ijassa-1300	33	10	developed	develop	VERB
ijassa-1300	33	11	metaheuristic	metaheuristic	ADJ
ijassa-1300	33	12	optimization	optimization	NOUN
ijassa-1300	33	13	algorithm	algorithm	NOUN
ijassa-1300	33	14	that	that	PRON
ijassa-1300	33	15	is	be	AUX
ijassa-1300	33	16	used	use	VERB
ijassa-1300	33	17	to	to	PART
ijassa-1300	33	18	solve	solve	VERB
ijassa-1300	33	19	optimization	optimization	NOUN
ijassa-1300	33	20	problems	problem	NOUN
ijassa-1300	33	21	.	.	PUNCT
ijassa-1300	34	1	in	in	ADP
ijassa-1300	34	2	this	this	DET
ijassa-1300	34	3	study	study	NOUN
ijassa-1300	34	4	,	,	PUNCT
ijassa-1300	34	5	a	a	DET
ijassa-1300	34	6	hybrid	hybrid	ADJ
ijassa-1300	34	7	cs	cs	PROPN
ijassa-1300	34	8	and	and	CCONJ
ijassa-1300	34	9	ga	ga	PROPN
ijassa-1300	34	10	(	(	PUNCT
ijassa-1300	34	11	csga	csga	X
ijassa-1300	34	12	)	)	PUNCT
ijassa-1300	34	13	will	will	AUX
ijassa-1300	34	14	perform	perform	VERB
ijassa-1300	34	15	image	image	NOUN
ijassa-1300	34	16	segmentation	segmentation	NOUN
ijassa-1300	34	17	[	[	X
ijassa-1300	34	18	8	8	NUM
ijassa-1300	34	19	]	]	PUNCT
ijassa-1300	34	20	.	.	PUNCT
ijassa-1300	35	1	csga	csga	PROPN
ijassa-1300	35	2	combines	combine	VERB
ijassa-1300	35	3	the	the	DET
ijassa-1300	35	4	advantages	advantage	NOUN
ijassa-1300	35	5	of	of	ADP
ijassa-1300	35	6	ga	ga	PROPN
ijassa-1300	35	7	and	and	CCONJ
ijassa-1300	35	8	cs	cs	PROPN
ijassa-1300	35	9	.	.	PUNCT
ijassa-1300	36	1	the	the	DET
ijassa-1300	36	2	main	main	ADJ
ijassa-1300	36	3	disadvantage	disadvantage	NOUN
ijassa-1300	36	4	of	of	ADP
ijassa-1300	36	5	ga	ga	PROPN
ijassa-1300	36	6	is	be	AUX
ijassa-1300	36	7	that	that	SCONJ
ijassa-1300	36	8	it	it	PRON
ijassa-1300	36	9	is	be	AUX
ijassa-1300	36	10	easily	easily	ADV
ijassa-1300	36	11	trapped	trap	VERB
ijassa-1300	36	12	within	within	ADP
ijassa-1300	36	13	a	a	DET
ijassa-1300	36	14	local	local	ADJ
ijassa-1300	36	15	minimum	minimum	NOUN
ijassa-1300	37	1	[	[	X
ijassa-1300	37	2	16	16	NUM
ijassa-1300	37	3	]	]	PUNCT
ijassa-1300	37	4	.	.	PUNCT
ijassa-1300	38	1	accordingly	accordingly	ADV
ijassa-1300	38	2	,	,	PUNCT
ijassa-1300	38	3	cs	cs	PROPN
ijassa-1300	38	4	is	be	AUX
ijassa-1300	38	5	used	use	VERB
ijassa-1300	38	6	to	to	PART
ijassa-1300	38	7	overcome	overcome	VERB
ijassa-1300	38	8	the	the	DET
ijassa-1300	38	9	aforementioned	aforementioned	ADJ
ijassa-1300	38	10	drawback	drawback	NOUN
ijassa-1300	38	11	.	.	PUNCT
ijassa-1300	39	1	the	the	DET
ijassa-1300	39	2	use	use	NOUN
ijassa-1300	39	3	of	of	ADP
ijassa-1300	39	4	cs	cs	PROPN
ijassa-1300	39	5	will	will	AUX
ijassa-1300	39	6	enable	enable	VERB
ijassa-1300	39	7	a	a	DET
ijassa-1300	39	8	local	local	ADJ
ijassa-1300	39	9	search	search	NOUN
ijassa-1300	39	10	to	to	PART
ijassa-1300	39	11	be	be	AUX
ijassa-1300	39	12	performed	perform	VERB
ijassa-1300	39	13	faster	fast	ADV
ijassa-1300	39	14	than	than	ADP
ijassa-1300	39	15	ga	ga	PROPN
ijassa-1300	40	1	[	[	X
ijassa-1300	40	2	16	16	NUM
ijassa-1300	40	3	]	]	PUNCT
ijassa-1300	40	4	.	.	PUNCT
ijassa-1300	41	1	moreover	moreover	ADV
ijassa-1300	41	2	,	,	PUNCT
ijassa-1300	41	3	cs	cs	PROPN
ijassa-1300	41	4	involves	involve	VERB
ijassa-1300	41	5	only	only	ADV
ijassa-1300	41	6	a	a	DET
ijassa-1300	41	7	single	single	ADJ
ijassa-1300	41	8	parameter	parameter	NOUN
ijassa-1300	41	9	apart	apart	ADV
ijassa-1300	41	10	from	from	ADP
ijassa-1300	41	11	the	the	DET
ijassa-1300	41	12	population	population	NOUN
ijassa-1300	41	13	size	size	NOUN
ijassa-1300	41	14	.	.	PUNCT
ijassa-1300	42	1	the	the	DET
ijassa-1300	42	2	proposed	propose	VERB
ijassa-1300	42	3	algorithm	algorithm	NOUN
ijassa-1300	42	4	will	will	AUX
ijassa-1300	42	5	be	be	AUX
ijassa-1300	42	6	compared	compare	VERB
ijassa-1300	42	7	with	with	ADP
ijassa-1300	42	8	the	the	DET
ijassa-1300	42	9	fcm	fcm	PROPN
ijassa-1300	42	10	and	and	CCONJ
ijassa-1300	42	11	k	k	ADJ
ijassa-1300	42	12	-	-	PUNCT
ijassa-1300	42	13	means	means	NOUN
ijassa-1300	42	14	algorithms	algorithm	NOUN
ijassa-1300	42	15	and	and	CCONJ
ijassa-1300	42	16	ga	ga	PROPN
ijassa-1300	42	17	.	.	PUNCT
ijassa-1300	43	1	the	the	DET
ijassa-1300	43	2	rest	rest	NOUN
ijassa-1300	43	3	of	of	ADP
ijassa-1300	43	4	this	this	DET
ijassa-1300	43	5	paper	paper	NOUN
ijassa-1300	43	6	is	be	AUX
ijassa-1300	43	7	organized	organize	VERB
ijassa-1300	43	8	as	as	SCONJ
ijassa-1300	43	9	follows	follow	VERB
ijassa-1300	43	10	.	.	PUNCT
ijassa-1300	44	1	section	section	NOUN
ijassa-1300	44	2	2	2	NUM
ijassa-1300	44	3	reviews	review	VERB
ijassa-1300	44	4	the	the	DET
ijassa-1300	44	5	studies	study	NOUN
ijassa-1300	44	6	that	that	PRON
ijassa-1300	44	7	are	be	AUX
ijassa-1300	44	8	closely	closely	ADV
ijassa-1300	44	9	related	relate	VERB
ijassa-1300	44	10	to	to	ADP
ijassa-1300	44	11	image	image	NOUN
ijassa-1300	44	12	segmentation	segmentation	NOUN
ijassa-1300	44	13	techniques	technique	NOUN
ijassa-1300	44	14	in	in	ADP
ijassa-1300	44	15	various	various	ADJ
ijassa-1300	44	16	applications	application	NOUN
ijassa-1300	44	17	.	.	PUNCT
ijassa-1300	45	1	section	section	NOUN
ijassa-1300	45	2	3	3	NUM
ijassa-1300	45	3	presents	present	VERB
ijassa-1300	45	4	the	the	DET
ijassa-1300	45	5	methodology	methodology	NOUN
ijassa-1300	45	6	of	of	ADP
ijassa-1300	45	7	the	the	DET
ijassa-1300	45	8	current	current	ADJ
ijassa-1300	45	9	research	research	NOUN
ijassa-1300	45	10	.	.	PUNCT
ijassa-1300	46	1	section	section	NOUN
ijassa-1300	46	2	4	4	NUM
ijassa-1300	46	3	presents	present	VERB
ijassa-1300	46	4	the	the	DET
ijassa-1300	46	5	experimental	experimental	ADJ
ijassa-1300	46	6	results	result	NOUN
ijassa-1300	46	7	.	.	PUNCT
ijassa-1300	47	1	section	section	NOUN
ijassa-1300	47	2	5	5	NUM
ijassa-1300	47	3	presents	present	VERB
ijassa-1300	47	4	the	the	DET
ijassa-1300	47	5	conclusion	conclusion	NOUN
ijassa-1300	47	6	.	.	PUNCT
ijassa-1300	48	1	2	2	X
ijassa-1300	48	2	.	.	NUM
ijassa-1300	48	3	related	relate	VERB
ijassa-1300	48	4	work	work	NOUN
ijassa-1300	48	5	scientists	scientist	NOUN
ijassa-1300	48	6	and	and	CCONJ
ijassa-1300	48	7	researchers	researcher	NOUN
ijassa-1300	48	8	have	have	AUX
ijassa-1300	48	9	developed	develop	VERB
ijassa-1300	48	10	various	various	ADJ
ijassa-1300	48	11	image	image	NOUN
ijassa-1300	48	12	segmentation	segmentation	NOUN
ijassa-1300	48	13	techniques	technique	NOUN
ijassa-1300	48	14	.	.	PUNCT
ijassa-1300	49	1	image	image	NOUN
ijassa-1300	49	2	segmentation	segmentation	NOUN
ijassa-1300	49	3	is	be	AUX
ijassa-1300	49	4	used	use	VERB
ijassa-1300	49	5	in	in	ADP
ijassa-1300	49	6	a	a	DET
ijassa-1300	49	7	wide	wide	ADJ
ijassa-1300	49	8	variety	variety	NOUN
ijassa-1300	49	9	of	of	ADP
ijassa-1300	49	10	applications	application	NOUN
ijassa-1300	49	11	,	,	PUNCT
ijassa-1300	49	12	such	such	ADJ
ijassa-1300	49	13	as	as	ADP
ijassa-1300	49	14	content	content	NOUN
ijassa-1300	49	15	-	-	PUNCT
ijassa-1300	49	16	based	base	VERB
ijassa-1300	49	17	image	image	NOUN
ijassa-1300	49	18	retrieval	retrieval	NOUN
ijassa-1300	49	19	,	,	PUNCT
ijassa-1300	49	20	machine	machine	NOUN
ijassa-1300	49	21	vision	vision	NOUN
ijassa-1300	49	22	,	,	PUNCT
ijassa-1300	49	23	medical	medical	ADJ
ijassa-1300	49	24	imaging	imaging	NOUN
ijassa-1300	49	25	,	,	PUNCT
ijassa-1300	49	26	object	object	NOUN
ijassa-1300	49	27	detection	detection	NOUN
ijassa-1300	49	28	,	,	PUNCT
ijassa-1300	49	29	and	and	CCONJ
ijassa-1300	49	30	other	other	ADJ
ijassa-1300	49	31	related	related	ADJ
ijassa-1300	49	32	fields	field	NOUN
ijassa-1300	49	33	.	.	PUNCT
ijassa-1300	50	1	nerurkar	nerurkar	PROPN
ijassa-1300	51	1	[	[	X
ijassa-1300	51	2	18	18	NUM
ijassa-1300	51	3	]	]	PUNCT
ijassa-1300	51	4	presented	present	VERB
ijassa-1300	51	5	two	two	NUM
ijassa-1300	51	6	of	of	ADP
ijassa-1300	51	7	the	the	DET
ijassa-1300	51	8	most	most	ADV
ijassa-1300	51	9	efficient	efficient	ADJ
ijassa-1300	51	10	and	and	CCONJ
ijassa-1300	51	11	suitable	suitable	ADJ
ijassa-1300	51	12	segmentation	segmentation	NOUN
ijassa-1300	51	13	algorithms	algorithm	NOUN
ijassa-1300	51	14	for	for	ADP
ijassa-1300	51	15	brain	brain	NOUN
ijassa-1300	51	16	tumor	tumor	NOUN
ijassa-1300	51	17	detection	detection	NOUN
ijassa-1300	51	18	application	application	NOUN
ijassa-1300	51	19	.	.	PUNCT
ijassa-1300	52	1	this	this	DET
ijassa-1300	52	2	study	study	NOUN
ijassa-1300	52	3	detected	detect	VERB
ijassa-1300	52	4	brain	brain	NOUN
ijassa-1300	52	5	tumor	tumor	NOUN
ijassa-1300	52	6	from	from	ADP
ijassa-1300	52	7	the	the	DET
ijassa-1300	52	8	(	(	PUNCT
ijassa-1300	52	9	magnetic	magnetic	ADJ
ijassa-1300	52	10	resonance	resonance	NOUN
ijassa-1300	52	11	imaging	imaging	NOUN
ijassa-1300	52	12	)	)	PUNCT
ijassa-1300	52	13	mri	mri	NOUN
ijassa-1300	52	14	scans	scan	NOUN
ijassa-1300	52	15	of	of	ADP
ijassa-1300	52	16	a	a	DET
ijassa-1300	52	17	brain	brain	NOUN
ijassa-1300	52	18	using	use	VERB
ijassa-1300	52	19	two	two	NUM
ijassa-1300	52	20	different	different	ADJ
ijassa-1300	52	21	segmentation	segmentation	NOUN
ijassa-1300	52	22	algorithms	algorithm	NOUN
ijassa-1300	52	23	,	,	PUNCT
ijassa-1300	52	24	namely	namely	ADV
ijassa-1300	52	25	,	,	PUNCT
ijassa-1300	52	26	k	k	NOUN
ijassa-1300	52	27	-	-	PUNCT
ijassa-1300	52	28	means	mean	NOUN
ijassa-1300	52	29	and	and	CCONJ
ijassa-1300	52	30	region	region	NOUN
ijassa-1300	52	31	growing	grow	VERB
ijassa-1300	52	32	techniques	technique	NOUN
ijassa-1300	52	33	.	.	PUNCT
ijassa-1300	53	1	the	the	DET
ijassa-1300	53	2	mri	mri	NOUN
ijassa-1300	53	3	images	image	NOUN
ijassa-1300	53	4	of	of	ADP
ijassa-1300	53	5	a	a	DET
ijassa-1300	53	6	brain	brain	NOUN
ijassa-1300	53	7	were	be	AUX
ijassa-1300	53	8	used	use	VERB
ijassa-1300	53	9	in	in	ADP
ijassa-1300	53	10	the	the	DET
ijassa-1300	53	11	aforementioned	aforementioned	ADJ
ijassa-1300	53	12	experiment	experiment	NOUN
ijassa-1300	53	13	and	and	CCONJ
ijassa-1300	53	14	the	the	DET
ijassa-1300	53	15	two	two	NUM
ijassa-1300	53	16	algorithms	algorithm	NOUN
ijassa-1300	53	17	were	be	AUX
ijassa-1300	53	18	compared	compare	VERB
ijassa-1300	53	19	with	with	ADP
ijassa-1300	53	20	each	each	DET
ijassa-1300	53	21	other	other	ADJ
ijassa-1300	53	22	,	,	PUNCT
ijassa-1300	53	23	thereby	thereby	ADV
ijassa-1300	53	24	determining	determine	VERB
ijassa-1300	53	25	the	the	DET
ijassa-1300	53	26	ideal	ideal	ADJ
ijassa-1300	53	27	one	one	NUM
ijassa-1300	53	28	based	base	VERB
ijassa-1300	53	29	on	on	ADP
ijassa-1300	53	30	accuracy	accuracy	NOUN
ijassa-1300	53	31	.	.	PUNCT
ijassa-1300	54	1	the	the	DET
ijassa-1300	54	2	preceding	precede	VERB
ijassa-1300	54	3	study	study	NOUN
ijassa-1300	54	4	concluded	conclude	VERB
ijassa-1300	54	5	that	that	SCONJ
ijassa-1300	54	6	the	the	DET
ijassa-1300	54	7	k	k	NOUN
ijassa-1300	54	8	-	-	PUNCT
ijassa-1300	54	9	means	means	NOUN
ijassa-1300	54	10	method	method	NOUN
ijassa-1300	54	11	is	be	AUX
ijassa-1300	54	12	easy	easy	ADJ
ijassa-1300	54	13	and	and	CCONJ
ijassa-1300	54	14	efficient	efficient	ADJ
ijassa-1300	54	15	but	but	CCONJ
ijassa-1300	54	16	not	not	PART
ijassa-1300	54	17	as	as	ADV
ijassa-1300	54	18	accurate	accurate	ADJ
ijassa-1300	54	19	as	as	ADP
ijassa-1300	54	20	the	the	DET
ijassa-1300	54	21	region	region	NOUN
ijassa-1300	54	22	growing	grow	VERB
ijassa-1300	54	23	method	method	NOUN
ijassa-1300	54	24	.	.	PUNCT
ijassa-1300	55	1	the	the	DET
ijassa-1300	55	2	region	region	NOUN
ijassa-1300	55	3	growing	grow	VERB
ijassa-1300	55	4	method	method	NOUN
ijassa-1300	55	5	,	,	PUNCT
ijassa-1300	55	6	which	which	PRON
ijassa-1300	55	7	proved	prove	VERB
ijassa-1300	55	8	to	to	PART
ijassa-1300	55	9	be	be	AUX
ijassa-1300	55	10	more	more	ADV
ijassa-1300	55	11	accurate	accurate	ADJ
ijassa-1300	55	12	than	than	ADP
ijassa-1300	55	13	the	the	DET
ijassa-1300	55	14	k	k	NOUN
ijassa-1300	55	15	-	-	PUNCT
ijassa-1300	55	16	means	mean	NOUN
ijassa-1300	55	17	,	,	PUNCT
ijassa-1300	55	18	provided	provide	VERB
ijassa-1300	55	19	a	a	DET
ijassa-1300	55	20	satisfiable	satisfiable	ADJ
ijassa-1300	55	21	segmentation	segmentation	NOUN
ijassa-1300	55	22	and	and	CCONJ
ijassa-1300	55	23	proved	prove	VERB
ijassa-1300	55	24	to	to	PART
ijassa-1300	55	25	be	be	AUX
ijassa-1300	55	26	among	among	ADP
ijassa-1300	55	27	the	the	DET
ijassa-1300	55	28	most	most	ADV
ijassa-1300	55	29	ideal	ideal	ADJ
ijassa-1300	55	30	region	region	NOUN
ijassa-1300	55	31	-	-	PUNCT
ijassa-1300	55	32	based	base	VERB
ijassa-1300	55	33	segmentation	segmentation	NOUN
ijassa-1300	55	34	methods	method	NOUN
ijassa-1300	55	35	.	.	PUNCT
ijassa-1300	56	1	singh	singh	PROPN
ijassa-1300	56	2	and	and	CCONJ
ijassa-1300	56	3	misra	misra	ADJ
ijassa-1300	57	1	[	[	X
ijassa-1300	57	2	12	12	NUM
ijassa-1300	57	3	]	]	PUNCT
ijassa-1300	57	4	presented	present	VERB
ijassa-1300	57	5	an	an	DET
ijassa-1300	57	6	algorithm	algorithm	NOUN
ijassa-1300	57	7	for	for	ADP
ijassa-1300	57	8	image	image	NOUN
ijassa-1300	57	9	segmentation	segmentation	NOUN
ijassa-1300	57	10	technique	technique	NOUN
ijassa-1300	57	11	for	for	ADP
ijassa-1300	57	12	the	the	DET
ijassa-1300	57	13	automatic	automatic	ADJ
ijassa-1300	57	14	detection	detection	NOUN
ijassa-1300	57	15	and	and	CCONJ
ijassa-1300	57	16	classification	classification	NOUN
ijassa-1300	57	17	of	of	ADP
ijassa-1300	57	18	plant	plant	NOUN
ijassa-1300	57	19	leaf	leaf	NOUN
ijassa-1300	57	20	diseases	disease	NOUN
ijassa-1300	57	21	.	.	PUNCT
ijassa-1300	58	1	they	they	PRON
ijassa-1300	58	2	also	also	ADV
ijassa-1300	58	3	conducted	conduct	VERB
ijassa-1300	58	4	a	a	DET
ijassa-1300	58	5	survey	survey	NOUN
ijassa-1300	58	6	on	on	ADP
ijassa-1300	58	7	different	different	ADJ
ijassa-1300	58	8	disease	disease	NOUN
ijassa-1300	58	9	classification	classification	NOUN
ijassa-1300	58	10	techniques	technique	NOUN
ijassa-1300	58	11	that	that	PRON
ijassa-1300	58	12	can	can	AUX
ijassa-1300	58	13	be	be	AUX
ijassa-1300	58	14	used	use	VERB
ijassa-1300	58	15	for	for	ADP
ijassa-1300	58	16	the	the	DET
ijassa-1300	58	17	detection	detection	NOUN
ijassa-1300	58	18	of	of	ADP
ijassa-1300	58	19	plant	plant	NOUN
ijassa-1300	58	20	leaf	leaf	NOUN
ijassa-1300	58	21	diseases	disease	NOUN
ijassa-1300	58	22	.	.	PUNCT
ijassa-1300	59	1	moreover	moreover	ADV
ijassa-1300	59	2	,	,	PUNCT
ijassa-1300	59	3	these	these	DET
ijassa-1300	59	4	researchers	researcher	NOUN
ijassa-1300	59	5	used	use	VERB
ijassa-1300	59	6	ga	ga	PROPN
ijassa-1300	59	7	belonging	belong	VERB
ijassa-1300	59	8	to	to	ADP
ijassa-1300	59	9	the	the	DET
ijassa-1300	59	10	evolutionary	evolutionary	ADJ
ijassa-1300	59	11	algorithms	algorithm	NOUN
ijassa-1300	59	12	that	that	PRON
ijassa-1300	59	13	generate	generate	VERB
ijassa-1300	59	14	solutions	solution	NOUN
ijassa-1300	59	15	for	for	ADP
ijassa-1300	59	16	optimization	optimization	NOUN
ijassa-1300	59	17	problems	problem	NOUN
ijassa-1300	59	18	.	.	PUNCT
ijassa-1300	60	1	k	k	X
ijassa-1300	60	2	-	-	PUNCT
ijassa-1300	60	3	means	mean	VERB
ijassa-1300	60	4	clustering	clustering	NOUN
ijassa-1300	60	5	and	and	CCONJ
ijassa-1300	60	6	support	support	NOUN
ijassa-1300	60	7	vector	vector	NOUN
ijassa-1300	60	8	machine	machine	NOUN
ijassa-1300	60	9	were	be	AUX
ijassa-1300	60	10	applied	apply	VERB
ijassa-1300	60	11	to	to	PART
ijassa-1300	60	12	process	process	VERB
ijassa-1300	60	13	the	the	DET
ijassa-1300	60	14	images	image	NOUN
ijassa-1300	60	15	and	and	CCONJ
ijassa-1300	60	16	obtain	obtain	VERB
ijassa-1300	60	17	a	a	DET
ijassa-1300	60	18	variety	variety	NOUN
ijassa-1300	60	19	of	of	ADP
ijassa-1300	60	20	beneficial	beneficial	ADJ
ijassa-1300	60	21	features	feature	NOUN
ijassa-1300	60	22	needed	need	VERB
ijassa-1300	60	23	for	for	ADP
ijassa-1300	60	24	subsequent	subsequent	ADJ
ijassa-1300	60	25	analysis	analysis	NOUN
ijassa-1300	60	26	.	.	PUNCT
ijassa-1300	61	1	their	their	PRON
ijassa-1300	61	2	experimental	experimental	ADJ
ijassa-1300	61	3	results	result	NOUN
ijassa-1300	61	4	showed	show	VERB
ijassa-1300	61	5	the	the	DET
ijassa-1300	61	6	efficiency	efficiency	NOUN
ijassa-1300	61	7	of	of	ADP
ijassa-1300	61	8	their	their	PRON
ijassa-1300	61	9	proposed	propose	VERB
ijassa-1300	61	10	algorithm	algorithm	NOUN
ijassa-1300	61	11	in	in	ADP
ijassa-1300	61	12	recognizing	recognize	VERB
ijassa-1300	61	13	and	and	CCONJ
ijassa-1300	61	14	classifying	classify	VERB
ijassa-1300	61	15	leaf	leaf	NOUN
ijassa-1300	61	16	diseases	disease	NOUN
ijassa-1300	61	17	.	.	PUNCT
ijassa-1300	62	1	another	another	DET
ijassa-1300	62	2	advantage	advantage	NOUN
ijassa-1300	62	3	of	of	ADP
ijassa-1300	62	4	using	use	VERB
ijassa-1300	62	5	their	their	PRON
ijassa-1300	62	6	proposed	propose	VERB
ijassa-1300	62	7	method	method	NOUN
ijassa-1300	62	8	is	be	AUX
ijassa-1300	62	9	that	that	SCONJ
ijassa-1300	62	10	plant	plant	NOUN
ijassa-1300	62	11	diseases	disease	NOUN
ijassa-1300	62	12	can	can	AUX
ijassa-1300	62	13	be	be	AUX
ijassa-1300	62	14	identified	identify	VERB
ijassa-1300	62	15	in	in	ADP
ijassa-1300	62	16	the	the	DET
ijassa-1300	62	17	early	early	ADJ
ijassa-1300	62	18	stage	stage	NOUN
ijassa-1300	62	19	.	.	PUNCT
ijassa-1300	63	1	kaur	kaur	PROPN
ijassa-1300	63	2	and	and	CCONJ
ijassa-1300	63	3	kaur	kaur	PROPN
ijassa-1300	64	1	[	[	X
ijassa-1300	64	2	28	28	NUM
ijassa-1300	64	3	]	]	PUNCT
ijassa-1300	64	4	proposed	propose	VERB
ijassa-1300	64	5	a	a	DET
ijassa-1300	64	6	new	new	ADJ
ijassa-1300	64	7	method	method	NOUN
ijassa-1300	64	8	for	for	ADP
ijassa-1300	64	9	the	the	DET
ijassa-1300	64	10	segmentation	segmentation	NOUN
ijassa-1300	64	11	of	of	ADP
ijassa-1300	64	12	medical	medical	ADJ
ijassa-1300	64	13	images	image	NOUN
ijassa-1300	64	14	to	to	PART
ijassa-1300	64	15	optimize	optimize	VERB
ijassa-1300	64	16	the	the	DET
ijassa-1300	64	17	results	result	NOUN
ijassa-1300	64	18	of	of	ADP
ijassa-1300	64	19	the	the	DET
ijassa-1300	64	20	fcm	fcm	X
ijassa-1300	64	21	clustering	cluster	VERB
ijassa-1300	64	22	algorithm	algorithm	NOUN
ijassa-1300	64	23	by	by	ADP
ijassa-1300	64	24	using	use	VERB
ijassa-1300	64	25	a	a	DET
ijassa-1300	64	26	hybrid	hybrid	NOUN
ijassa-1300	64	27	of	of	ADP
ijassa-1300	64	28	ga	ga	PROPN
ijassa-1300	64	29	and	and	CCONJ
ijassa-1300	64	30	particle	particle	NOUN
ijassa-1300	64	31	swarm	swarm	NOUN
ijassa-1300	64	32	optimization	optimization	NOUN
ijassa-1300	64	33	algorithm	algorithm	NOUN
ijassa-1300	64	34	to	to	PART
ijassa-1300	64	35	optimize	optimize	VERB
ijassa-1300	64	36	the	the	DET
ijassa-1300	64	37	parameters	parameter	NOUN
ijassa-1300	64	38	of	of	ADP
ijassa-1300	64	39	fcm	fcm	PROPN
ijassa-1300	64	40	in	in	ADP
ijassa-1300	64	41	medical	medical	ADJ
ijassa-1300	64	42	images	image	NOUN
ijassa-1300	64	43	.	.	PUNCT
ijassa-1300	65	1	these	these	DET
ijassa-1300	65	2	researchers	researcher	NOUN
ijassa-1300	65	3	compared	compare	VERB
ijassa-1300	65	4	their	their	PRON
ijassa-1300	65	5	proposed	propose	VERB
ijassa-1300	65	6	method	method	NOUN
ijassa-1300	65	7	,	,	PUNCT
ijassa-1300	65	8	fcm	fcm	X
ijassa-1300	65	9	,	,	PUNCT
ijassa-1300	65	10	and	and	CCONJ
ijassa-1300	65	11	kernel	kernel	PROPN
ijassa-1300	65	12	fuzzy	fuzzy	ADJ
ijassa-1300	65	13	c	c	NOUN
ijassa-1300	65	14	-	-	PUNCT
ijassa-1300	65	15	means	means	NOUN
ijassa-1300	65	16	(	(	PUNCT
ijassa-1300	65	17	kfcm	kfcm	PROPN
ijassa-1300	65	18	)	)	PUNCT
ijassa-1300	65	19	by	by	ADP
ijassa-1300	65	20	using	use	VERB
ijassa-1300	65	21	quality	quality	NOUN
ijassa-1300	65	22	parameters	parameter	NOUN
ijassa-1300	65	23	,	,	PUNCT
ijassa-1300	65	24	such	such	ADJ
ijassa-1300	65	25	as	as	ADP
ijassa-1300	65	26	the	the	DET
ijassa-1300	65	27	rand	rand	NOUN
ijassa-1300	65	28	index	index	NOUN
ijassa-1300	65	29	,	,	PUNCT
ijassa-1300	65	30	global	global	ADJ
ijassa-1300	65	31	consistency	consistency	NOUN
ijassa-1300	65	32	error	error	NOUN
ijassa-1300	65	33	,	,	PUNCT
ijassa-1300	65	34	and	and	CCONJ
ijassa-1300	65	35	variation	variation	NOUN
ijassa-1300	65	36	.	.	PUNCT
ijassa-1300	66	1	their	their	PRON
ijassa-1300	66	2	166	166	NUM
ijassa-1300	66	3	a.	a.	NOUN
ijassa-1300	66	4	abu	abu	PROPN
ijassa-1300	66	5	srhan	srhan	PROPN
ijassa-1300	66	6	,	,	PUNCT
ijassa-1300	66	7	m.	m.	PROPN
ijassa-1300	66	8	h.	h.	PROPN
ijassa-1300	66	9	qasem	qasem	PROPN
ijassa-1300	66	10	,	,	PUNCT
ijassa-1300	66	11	h.s	h.s	PROPN
ijassa-1300	66	12	.	.	PROPN
ijassa-1300	66	13	natoureah	natoureah	PROPN
ijassa-1300	66	14	,	,	PUNCT
ijassa-1300	66	15	a.	a.	NOUN
ijassa-1300	66	16	shdaifat	shdaifat	PROPN
ijassa-1300	66	17	copyright	copyright	NOUN
ijassa-1300	66	18	©	©	PROPN
ijassa-1300	66	19	2023	2023	NUM
ijassa-1300	66	20	assa	assa	PROPN
ijassa-1300	66	21	adv	adv	PROPN
ijassa-1300	66	22	.	.	PUNCT
ijassa-1300	67	1	in	in	ADP
ijassa-1300	67	2	systems	system	NOUN
ijassa-1300	67	3	science	science	NOUN
ijassa-1300	67	4	and	and	CCONJ
ijassa-1300	67	5	appl	appl	NOUN
ijassa-1300	67	6	.	.	PUNCT
ijassa-1300	68	1	(	(	PUNCT
ijassa-1300	68	2	2023	2023	NUM
ijassa-1300	68	3	)	)	PUNCT
ijassa-1300	68	4	comparison	comparison	NOUN
ijassa-1300	68	5	showed	show	VERB
ijassa-1300	68	6	that	that	SCONJ
ijassa-1300	68	7	their	their	PRON
ijassa-1300	68	8	proposed	propose	VERB
ijassa-1300	68	9	method	method	NOUN
ijassa-1300	68	10	is	be	AUX
ijassa-1300	68	11	better	well	ADJ
ijassa-1300	68	12	than	than	ADP
ijassa-1300	68	13	the	the	DET
ijassa-1300	68	14	existing	exist	VERB
ijassa-1300	68	15	one	one	NUM
ijassa-1300	68	16	and	and	CCONJ
ijassa-1300	68	17	provided	provide	VERB
ijassa-1300	68	18	efficient	efficient	ADJ
ijassa-1300	68	19	and	and	CCONJ
ijassa-1300	68	20	effective	effective	ADJ
ijassa-1300	68	21	results	result	NOUN
ijassa-1300	68	22	.	.	PUNCT
ijassa-1300	69	1	zang	zang	PROPN
ijassa-1300	69	2	et	et	PROPN
ijassa-1300	69	3	al	al	PROPN
ijassa-1300	69	4	.	.	PUNCT
ijassa-1300	70	1	[	[	X
ijassa-1300	70	2	2	2	X
ijassa-1300	70	3	]	]	PUNCT
ijassa-1300	70	4	proposed	propose	VERB
ijassa-1300	70	5	a	a	DET
ijassa-1300	70	6	novel	novel	ADJ
ijassa-1300	70	7	dna	dna	NOUN
ijassa-1300	70	8	-	-	PUNCT
ijassa-1300	70	9	based	base	VERB
ijassa-1300	70	10	ga	ga	NOUN
ijassa-1300	70	11	to	to	PART
ijassa-1300	70	12	learn	learn	VERB
ijassa-1300	70	13	the	the	DET
ijassa-1300	70	14	kernel	kernel	PROPN
ijassa-1300	70	15	intuitionistic	intuitionistic	ADJ
ijassa-1300	70	16	fuzzy	fuzzy	ADJ
ijassa-1300	70	17	cmeans	cmean	NOUN
ijassa-1300	70	18	(	(	PUNCT
ijassa-1300	70	19	kifcm	kifcm	PROPN
ijassa-1300	70	20	)	)	PUNCT
ijassa-1300	70	21	clustering	cluster	VERB
ijassa-1300	70	22	for	for	ADP
ijassa-1300	70	23	mri	mri	NOUN
ijassa-1300	70	24	image	image	NOUN
ijassa-1300	70	25	segmentation	segmentation	NOUN
ijassa-1300	70	26	,	,	PUNCT
ijassa-1300	70	27	particularly	particularly	ADV
ijassa-1300	70	28	using	use	VERB
ijassa-1300	70	29	the	the	DET
ijassa-1300	70	30	dna	dna	NOUN
ijassa-1300	70	31	-	-	PUNCT
ijassa-1300	70	32	based	base	VERB
ijassa-1300	70	33	ga	ga	NOUN
ijassa-1300	70	34	to	to	PART
ijassa-1300	70	35	determine	determine	VERB
ijassa-1300	70	36	the	the	DET
ijassa-1300	70	37	optimal	optimal	ADJ
ijassa-1300	70	38	number	number	NOUN
ijassa-1300	70	39	of	of	ADP
ijassa-1300	70	40	clusters	cluster	NOUN
ijassa-1300	70	41	needed	need	VERB
ijassa-1300	70	42	.	.	PUNCT
ijassa-1300	71	1	to	to	PART
ijassa-1300	71	2	determine	determine	VERB
ijassa-1300	71	3	the	the	DET
ijassa-1300	71	4	optimal	optimal	ADJ
ijassa-1300	71	5	number	number	NOUN
ijassa-1300	71	6	of	of	ADP
ijassa-1300	71	7	clusters	cluster	NOUN
ijassa-1300	71	8	,	,	PUNCT
ijassa-1300	71	9	these	these	DET
ijassa-1300	71	10	authors	author	NOUN
ijassa-1300	71	11	attempted	attempt	VERB
ijassa-1300	71	12	to	to	PART
ijassa-1300	71	13	determine	determine	VERB
ijassa-1300	71	14	the	the	DET
ijassa-1300	71	15	optimal	optimal	ADJ
ijassa-1300	71	16	weight	weight	NOUN
ijassa-1300	71	17	exponent	exponent	NOUN
ijassa-1300	71	18	(	(	PUNCT
ijassa-1300	71	19	m	m	NOUN
ijassa-1300	71	20	)	)	PUNCT
ijassa-1300	71	21	by	by	ADP
ijassa-1300	71	22	optimizing	optimize	VERB
ijassa-1300	71	23	the	the	DET
ijassa-1300	71	24	kifcm	kifcm	NOUN
ijassa-1300	71	25	parameters	parameter	NOUN
ijassa-1300	71	26	.	.	PUNCT
ijassa-1300	72	1	moreover	moreover	ADV
ijassa-1300	72	2	,	,	PUNCT
ijassa-1300	72	3	they	they	PRON
ijassa-1300	72	4	performed	perform	VERB
ijassa-1300	72	5	an	an	DET
ijassa-1300	72	6	empirical	empirical	ADJ
ijassa-1300	72	7	study	study	NOUN
ijassa-1300	72	8	by	by	ADP
ijassa-1300	72	9	comparing	compare	VERB
ijassa-1300	72	10	their	their	PRON
ijassa-1300	72	11	new	new	ADJ
ijassa-1300	72	12	method	method	NOUN
ijassa-1300	72	13	with	with	ADP
ijassa-1300	72	14	six	six	NUM
ijassa-1300	72	15	existing	exist	VERB
ijassa-1300	72	16	state	state	NOUN
ijassa-1300	72	17	-	-	PUNCT
ijassa-1300	72	18	of	of	ADP
ijassa-1300	72	19	-	-	PUNCT
ijassa-1300	72	20	the	the	DET
ijassa-1300	72	21	-	-	PUNCT
ijassa-1300	72	22	art	art	NOUN
ijassa-1300	72	23	fuzzy	fuzzy	ADJ
ijassa-1300	72	24	clustering	clustering	ADJ
ijassa-1300	72	25	algorithms	algorithm	NOUN
ijassa-1300	72	26	by	by	ADP
ijassa-1300	72	27	using	use	VERB
ijassa-1300	72	28	a	a	DET
ijassa-1300	72	29	set	set	NOUN
ijassa-1300	72	30	of	of	ADP
ijassa-1300	72	31	uc	uc	PROPN
ijassa-1300	72	32	irvine	irvine	PROPN
ijassa-1300	72	33	machine	machine	NOUN
ijassa-1300	72	34	learning	learn	VERB
ijassa-1300	72	35	repository	repository	NOUN
ijassa-1300	72	36	(	(	PUNCT
ijassa-1300	72	37	uci	uci	PROPN
ijassa-1300	72	38	)	)	PUNCT
ijassa-1300	72	39	data	datum	NOUN
ijassa-1300	72	40	mining	mining	NOUN
ijassa-1300	72	41	data	datum	NOUN
ijassa-1300	72	42	sets	set	NOUN
ijassa-1300	72	43	,	,	PUNCT
ijassa-1300	72	44	a	a	DET
ijassa-1300	72	45	set	set	NOUN
ijassa-1300	72	46	of	of	ADP
ijassa-1300	72	47	synthetic	synthetic	ADJ
ijassa-1300	72	48	mri	mri	NOUN
ijassa-1300	72	49	data	datum	NOUN
ijassa-1300	72	50	,	,	PUNCT
ijassa-1300	72	51	and	and	CCONJ
ijassa-1300	72	52	a	a	DET
ijassa-1300	72	53	set	set	NOUN
ijassa-1300	72	54	of	of	ADP
ijassa-1300	72	55	clinical	clinical	ADJ
ijassa-1300	72	56	mri	mri	NOUN
ijassa-1300	72	57	data	data	NOUN
ijassa-1300	72	58	sets	set	NOUN
ijassa-1300	72	59	.	.	PUNCT
ijassa-1300	73	1	their	their	PRON
ijassa-1300	73	2	experimental	experimental	ADJ
ijassa-1300	73	3	result	result	NOUN
ijassa-1300	73	4	concluded	conclude	VERB
ijassa-1300	73	5	that	that	SCONJ
ijassa-1300	73	6	their	their	PRON
ijassa-1300	73	7	new	new	ADJ
ijassa-1300	73	8	algorithm	algorithm	NOUN
ijassa-1300	73	9	outperforms	outperform	VERB
ijassa-1300	73	10	the	the	DET
ijassa-1300	73	11	compared	compare	VERB
ijassa-1300	73	12	algorithms	algorithm	NOUN
ijassa-1300	73	13	in	in	ADP
ijassa-1300	73	14	terms	term	NOUN
ijassa-1300	73	15	of	of	ADP
ijassa-1300	73	16	clustering	cluster	VERB
ijassa-1300	73	17	metrics	metric	NOUN
ijassa-1300	73	18	and	and	CCONJ
ijassa-1300	73	19	computational	computational	ADJ
ijassa-1300	73	20	efficiency	efficiency	NOUN
ijassa-1300	73	21	.	.	PUNCT
ijassa-1300	74	1	bosch	bosch	PROPN
ijassa-1300	74	2	et	et	PROPN
ijassa-1300	74	3	al	al	PROPN
ijassa-1300	74	4	.	.	PUNCT
ijassa-1300	75	1	[	[	X
ijassa-1300	75	2	22	22	NUM
ijassa-1300	75	3	]	]	PUNCT
ijassa-1300	75	4	proposed	propose	VERB
ijassa-1300	75	5	an	an	DET
ijassa-1300	75	6	image	image	NOUN
ijassa-1300	75	7	segmentation	segmentation	NOUN
ijassa-1300	75	8	framework	framework	NOUN
ijassa-1300	75	9	that	that	PRON
ijassa-1300	75	10	uses	use	VERB
ijassa-1300	75	11	color	color	NOUN
ijassa-1300	75	12	and	and	CCONJ
ijassa-1300	75	13	low	low	ADJ
ijassa-1300	75	14	-	-	PUNCT
ijassa-1300	75	15	level	level	NOUN
ijassa-1300	75	16	intensity	intensity	NOUN
ijassa-1300	75	17	cues	cue	NOUN
ijassa-1300	75	18	and	and	CCONJ
ijassa-1300	75	19	works	work	VERB
ijassa-1300	75	20	on	on	ADP
ijassa-1300	75	21	the	the	DET
ijassa-1300	75	22	entire	entire	ADJ
ijassa-1300	75	23	space	space	NOUN
ijassa-1300	75	24	of	of	ADP
ijassa-1300	75	25	the	the	DET
ijassa-1300	75	26	segmentation	segmentation	NOUN
ijassa-1300	75	27	hypotheses	hypothesis	NOUN
ijassa-1300	75	28	or	or	CCONJ
ijassa-1300	75	29	segmentation	segmentation	NOUN
ijassa-1300	75	30	volume	volume	NOUN
ijassa-1300	75	31	generated	generate	VERB
ijassa-1300	75	32	from	from	ADP
ijassa-1300	75	33	various	various	ADJ
ijassa-1300	75	34	choices	choice	NOUN
ijassa-1300	75	35	of	of	ADP
ijassa-1300	75	36	parameters	parameter	NOUN
ijassa-1300	75	37	.	.	PUNCT
ijassa-1300	76	1	these	these	DET
ijassa-1300	76	2	researchers	researcher	NOUN
ijassa-1300	76	3	employed	employ	VERB
ijassa-1300	76	4	multiple	multiple	ADJ
ijassa-1300	76	5	segmentations	segmentation	NOUN
ijassa-1300	76	6	because	because	SCONJ
ijassa-1300	76	7	they	they	PRON
ijassa-1300	76	8	acknowledged	acknowledge	VERB
ijassa-1300	76	9	that	that	SCONJ
ijassa-1300	76	10	one	one	NUM
ijassa-1300	76	11	set	set	NOUN
ijassa-1300	76	12	of	of	ADP
ijassa-1300	76	13	parameters	parameter	NOUN
ijassa-1300	76	14	can	can	AUX
ijassa-1300	76	15	not	not	PART
ijassa-1300	76	16	work	work	VERB
ijassa-1300	76	17	consistently	consistently	ADV
ijassa-1300	76	18	for	for	ADP
ijassa-1300	76	19	different	different	ADJ
ijassa-1300	76	20	scenes	scene	NOUN
ijassa-1300	76	21	and	and	CCONJ
ijassa-1300	76	22	images	image	NOUN
ijassa-1300	76	23	.	.	PUNCT
ijassa-1300	77	1	their	their	PRON
ijassa-1300	77	2	approach	approach	NOUN
ijassa-1300	77	3	defines	define	VERB
ijassa-1300	77	4	a	a	DET
ijassa-1300	77	5	cost	cost	NOUN
ijassa-1300	77	6	function	function	NOUN
ijassa-1300	77	7	based	base	VERB
ijassa-1300	77	8	on	on	ADP
ijassa-1300	77	9	two	two	NUM
ijassa-1300	77	10	criteria	criterion	NOUN
ijassa-1300	77	11	:	:	PUNCT
ijassa-1300	77	12	(	(	PUNCT
ijassa-1300	77	13	1	1	X
ijassa-1300	77	14	)	)	PUNCT
ijassa-1300	77	15	segments	segment	NOUN
ijassa-1300	77	16	that	that	PRON
ijassa-1300	77	17	change	change	VERB
ijassa-1300	77	18	constantly	constantly	ADV
ijassa-1300	77	19	and	and	CCONJ
ijassa-1300	77	20	abruptly	abruptly	ADV
ijassa-1300	77	21	in	in	ADP
ijassa-1300	77	22	the	the	DET
ijassa-1300	77	23	segmentation	segmentation	NOUN
ijassa-1300	77	24	volume	volume	NOUN
ijassa-1300	77	25	receive	receive	VERB
ijassa-1300	77	26	larger	large	ADJ
ijassa-1300	77	27	penalties	penalty	NOUN
ijassa-1300	77	28	and	and	CCONJ
ijassa-1300	77	29	(	(	PUNCT
ijassa-1300	77	30	2	2	X
ijassa-1300	77	31	)	)	PUNCT
ijassa-1300	77	32	segments	segment	NOUN
ijassa-1300	77	33	that	that	PRON
ijassa-1300	77	34	do	do	AUX
ijassa-1300	77	35	not	not	PART
ijassa-1300	77	36	match	match	VERB
ijassa-1300	77	37	with	with	ADP
ijassa-1300	77	38	natural	natural	ADJ
ijassa-1300	77	39	image	image	NOUN
ijassa-1300	77	40	contours	contours	NOUN
ijassa-1300	77	41	should	should	AUX
ijassa-1300	77	42	be	be	AUX
ijassa-1300	77	43	discouraged	discourage	VERB
ijassa-1300	77	44	.	.	PUNCT
ijassa-1300	78	1	their	their	PRON
ijassa-1300	78	2	results	result	NOUN
ijassa-1300	78	3	concluded	conclude	VERB
ijassa-1300	78	4	that	that	SCONJ
ijassa-1300	78	5	their	their	PRON
ijassa-1300	78	6	proposed	propose	VERB
ijassa-1300	78	7	framework	framework	NOUN
ijassa-1300	78	8	is	be	AUX
ijassa-1300	78	9	robust	robust	ADJ
ijassa-1300	78	10	to	to	ADP
ijassa-1300	78	11	the	the	DET
ijassa-1300	78	12	choice	choice	NOUN
ijassa-1300	78	13	of	of	ADP
ijassa-1300	78	14	segmentation	segmentation	NOUN
ijassa-1300	78	15	kernel	kernel	NOUN
ijassa-1300	78	16	that	that	PRON
ijassa-1300	78	17	produces	produce	VERB
ijassa-1300	78	18	the	the	DET
ijassa-1300	78	19	initial	initial	ADJ
ijassa-1300	78	20	set	set	NOUN
ijassa-1300	78	21	of	of	ADP
ijassa-1300	78	22	hypotheses	hypothesis	NOUN
ijassa-1300	78	23	and	and	CCONJ
ijassa-1300	78	24	capable	capable	ADJ
ijassa-1300	78	25	of	of	ADP
ijassa-1300	78	26	outperforming	outperform	VERB
ijassa-1300	78	27	popular	popular	ADJ
ijassa-1300	78	28	segmentation	segmentation	NOUN
ijassa-1300	78	29	algorithms	algorithm	NOUN
ijassa-1300	78	30	.	.	PUNCT
ijassa-1300	79	1	wang	wang	PROPN
ijassa-1300	79	2	et	et	PROPN
ijassa-1300	79	3	al	al	PROPN
ijassa-1300	79	4	.	.	PUNCT
ijassa-1300	80	1	[	[	X
ijassa-1300	80	2	24	24	NUM
ijassa-1300	80	3	]	]	PUNCT
ijassa-1300	80	4	proposed	propose	VERB
ijassa-1300	80	5	a	a	DET
ijassa-1300	80	6	novel	novel	ADJ
ijassa-1300	80	7	deep	deep	ADJ
ijassa-1300	80	8	learning	learning	NOUN
ijassa-1300	80	9	-	-	PUNCT
ijassa-1300	80	10	based	base	VERB
ijassa-1300	80	11	framework	framework	NOUN
ijassa-1300	80	12	for	for	ADP
ijassa-1300	80	13	interactive	interactive	ADJ
ijassa-1300	80	14	segmentation	segmentation	NOUN
ijassa-1300	80	15	by	by	ADP
ijassa-1300	80	16	incorporating	incorporate	VERB
ijassa-1300	80	17	convolutional	convolutional	ADJ
ijassa-1300	80	18	neural	neural	ADJ
ijassa-1300	80	19	networks	network	NOUN
ijassa-1300	80	20	(	(	PUNCT
ijassa-1300	80	21	cnns	cnns	PROPN
ijassa-1300	80	22	)	)	PUNCT
ijassa-1300	80	23	into	into	ADP
ijassa-1300	80	24	a	a	DET
ijassa-1300	80	25	bounding	bounding	NOUN
ijassa-1300	80	26	box	box	NOUN
ijassa-1300	80	27	and	and	CCONJ
ijassa-1300	80	28	scribble	scribble	ADJ
ijassa-1300	80	29	-	-	PUNCT
ijassa-1300	80	30	based	base	VERB
ijassa-1300	80	31	segmentation	segmentation	NOUN
ijassa-1300	80	32	pipeline	pipeline	NOUN
ijassa-1300	80	33	.	.	PUNCT
ijassa-1300	81	1	they	they	PRON
ijassa-1300	81	2	proposed	propose	VERB
ijassa-1300	81	3	image	image	NOUN
ijassa-1300	81	4	-	-	PUNCT
ijassa-1300	81	5	specific	specific	ADJ
ijassa-1300	81	6	fine	fine	ADV
ijassa-1300	81	7	-	-	PUNCT
ijassa-1300	81	8	tuning	tuning	NOUN
ijassa-1300	81	9	to	to	PART
ijassa-1300	81	10	make	make	VERB
ijassa-1300	81	11	a	a	DET
ijassa-1300	81	12	cnn	cnn	PROPN
ijassa-1300	81	13	model	model	NOUN
ijassa-1300	81	14	adaptive	adaptive	ADV
ijassa-1300	81	15	to	to	ADP
ijassa-1300	81	16	a	a	DET
ijassa-1300	81	17	specific	specific	ADJ
ijassa-1300	81	18	test	test	NOUN
ijassa-1300	81	19	image	image	NOUN
ijassa-1300	81	20	,	,	PUNCT
ijassa-1300	81	21	which	which	PRON
ijassa-1300	81	22	can	can	AUX
ijassa-1300	81	23	be	be	AUX
ijassa-1300	81	24	either	either	CCONJ
ijassa-1300	81	25	unsupervised	unsupervised	ADJ
ijassa-1300	81	26	or	or	CCONJ
ijassa-1300	81	27	supervised	supervised	ADJ
ijassa-1300	81	28	,	,	PUNCT
ijassa-1300	81	29	and	and	CCONJ
ijassa-1300	81	30	proposed	propose	VERB
ijassa-1300	81	31	a	a	DET
ijassa-1300	81	32	weighted	weight	VERB
ijassa-1300	81	33	loss	loss	NOUN
ijassa-1300	81	34	function	function	NOUN
ijassa-1300	81	35	by	by	ADP
ijassa-1300	81	36	considering	consider	VERB
ijassa-1300	81	37	network	network	NOUN
ijassa-1300	81	38	and	and	CCONJ
ijassa-1300	81	39	interaction	interaction	NOUN
ijassa-1300	81	40	-	-	PUNCT
ijassa-1300	81	41	based	base	VERB
ijassa-1300	81	42	uncertainty	uncertainty	NOUN
ijassa-1300	81	43	for	for	ADP
ijassa-1300	81	44	the	the	DET
ijassa-1300	81	45	fine	fine	ADV
ijassa-1300	81	46	-	-	PUNCT
ijassa-1300	81	47	tuning	tuning	NOUN
ijassa-1300	81	48	.	.	PUNCT
ijassa-1300	82	1	these	these	DET
ijassa-1300	82	2	researchers	researcher	NOUN
ijassa-1300	82	3	applied	apply	VERB
ijassa-1300	82	4	their	their	PRON
ijassa-1300	82	5	new	new	ADJ
ijassa-1300	82	6	framework	framework	NOUN
ijassa-1300	82	7	on	on	ADP
ijassa-1300	82	8	two	two	NUM
ijassa-1300	82	9	applications	application	NOUN
ijassa-1300	82	10	,	,	PUNCT
ijassa-1300	82	11	namely	namely	ADV
ijassa-1300	82	12	,	,	PUNCT
ijassa-1300	82	13	2d	2d	NUM
ijassa-1300	82	14	segmentation	segmentation	NOUN
ijassa-1300	82	15	of	of	ADP
ijassa-1300	82	16	multiple	multiple	ADJ
ijassa-1300	82	17	organs	organ	NOUN
ijassa-1300	82	18	from	from	ADP
ijassa-1300	82	19	fetal	fetal	ADJ
ijassa-1300	82	20	magnetic	magnetic	ADJ
ijassa-1300	82	21	resonance	resonance	NOUN
ijassa-1300	82	22	(	(	PUNCT
ijassa-1300	82	23	mr	mr	PROPN
ijassa-1300	82	24	)	)	PUNCT
ijassa-1300	82	25	slices	slice	NOUN
ijassa-1300	82	26	and	and	CCONJ
ijassa-1300	82	27	3d	3d	NUM
ijassa-1300	82	28	segmentation	segmentation	NOUN
ijassa-1300	82	29	of	of	ADP
ijassa-1300	82	30	brain	brain	NOUN
ijassa-1300	82	31	tumor	tumor	NOUN
ijassa-1300	82	32	and	and	CCONJ
ijassa-1300	82	33	the	the	DET
ijassa-1300	82	34	entire	entire	ADJ
ijassa-1300	82	35	brain	brain	NOUN
ijassa-1300	82	36	from	from	ADP
ijassa-1300	82	37	various	various	ADJ
ijassa-1300	82	38	mr	mr	PROPN
ijassa-1300	82	39	sequences	sequence	NOUN
ijassa-1300	82	40	.	.	PUNCT
ijassa-1300	83	1	their	their	PRON
ijassa-1300	83	2	experimental	experimental	ADJ
ijassa-1300	83	3	results	result	NOUN
ijassa-1300	83	4	showed	show	VERB
ijassa-1300	83	5	that	that	SCONJ
ijassa-1300	83	6	the	the	DET
ijassa-1300	83	7	new	new	ADJ
ijassa-1300	83	8	framework	framework	NOUN
ijassa-1300	83	9	performs	perform	VERB
ijassa-1300	83	10	well	well	ADV
ijassa-1300	83	11	on	on	ADP
ijassa-1300	83	12	previously	previously	ADV
ijassa-1300	83	13	unseen	unseen	ADJ
ijassa-1300	83	14	objects	object	NOUN
ijassa-1300	83	15	.	.	PUNCT
ijassa-1300	84	1	xiong	xiong	PROPN
ijassa-1300	84	2	et	et	PROPN
ijassa-1300	84	3	al	al	PROPN
ijassa-1300	84	4	.	.	PUNCT
ijassa-1300	85	1	[	[	X
ijassa-1300	85	2	19	19	NUM
ijassa-1300	85	3	]	]	PUNCT
ijassa-1300	85	4	proposed	propose	VERB
ijassa-1300	85	5	a	a	DET
ijassa-1300	85	6	new	new	ADJ
ijassa-1300	85	7	algorithm	algorithm	NOUN
ijassa-1300	85	8	for	for	ADP
ijassa-1300	85	9	image	image	NOUN
ijassa-1300	85	10	segmentation	segmentation	NOUN
ijassa-1300	85	11	on	on	ADP
ijassa-1300	85	12	the	the	DET
ijassa-1300	85	13	basis	basis	NOUN
ijassa-1300	85	14	of	of	ADP
ijassa-1300	85	15	realtime	realtime	ADJ
ijassa-1300	85	16	color	color	NOUN
ijassa-1300	85	17	image	image	NOUN
ijassa-1300	85	18	segmentation	segmentation	NOUN
ijassa-1300	85	19	method	method	NOUN
ijassa-1300	85	20	,	,	PUNCT
ijassa-1300	85	21	which	which	PRON
ijassa-1300	85	22	is	be	AUX
ijassa-1300	85	23	based	base	VERB
ijassa-1300	85	24	on	on	ADP
ijassa-1300	85	25	color	color	NOUN
ijassa-1300	85	26	similarity	similarity	NOUN
ijassa-1300	85	27	in	in	ADP
ijassa-1300	85	28	the	the	DET
ijassa-1300	85	29	rgb	rgb	PROPN
ijassa-1300	85	30	color	color	NOUN
ijassa-1300	85	31	space	space	NOUN
ijassa-1300	85	32	.	.	PUNCT
ijassa-1300	86	1	these	these	DET
ijassa-1300	86	2	researchers	researcher	NOUN
ijassa-1300	86	3	discussed	discuss	VERB
ijassa-1300	86	4	the	the	DET
ijassa-1300	86	5	proposed	propose	VERB
ijassa-1300	86	6	segmentation	segmentation	NOUN
ijassa-1300	86	7	method	method	NOUN
ijassa-1300	86	8	application	application	NOUN
ijassa-1300	86	9	combined	combine	VERB
ijassa-1300	86	10	with	with	ADP
ijassa-1300	86	11	color	color	NOUN
ijassa-1300	86	12	sensor	sensor	NOUN
ijassa-1300	86	13	in	in	ADP
ijassa-1300	86	14	real	real	ADJ
ijassa-1300	86	15	-	-	PUNCT
ijassa-1300	86	16	time	time	NOUN
ijassa-1300	86	17	color	color	NOUN
ijassa-1300	86	18	image	image	NOUN
ijassa-1300	86	19	segmentation	segmentation	NOUN
ijassa-1300	86	20	for	for	ADP
ijassa-1300	86	21	a	a	DET
ijassa-1300	86	22	cyber	cyber	NOUN
ijassa-1300	86	23	physical	physical	ADJ
ijassa-1300	86	24	system	system	NOUN
ijassa-1300	86	25	(	(	PUNCT
ijassa-1300	86	26	cps	cps	PROPN
ijassa-1300	86	27	)	)	PUNCT
ijassa-1300	86	28	through	through	ADP
ijassa-1300	86	29	the	the	DET
ijassa-1300	86	30	application	application	NOUN
ijassa-1300	86	31	in	in	ADP
ijassa-1300	86	32	fire	fire	NOUN
ijassa-1300	86	33	detection	detection	NOUN
ijassa-1300	86	34	.	.	PUNCT
ijassa-1300	87	1	moreover	moreover	ADV
ijassa-1300	87	2	,	,	PUNCT
ijassa-1300	87	3	they	they	PRON
ijassa-1300	87	4	summarized	summarize	VERB
ijassa-1300	87	5	a	a	DET
ijassa-1300	87	6	new	new	ADJ
ijassa-1300	87	7	method	method	NOUN
ijassa-1300	87	8	in	in	ADP
ijassa-1300	87	9	identifying	identify	VERB
ijassa-1300	87	10	fire	fire	NOUN
ijassa-1300	87	11	in	in	ADP
ijassa-1300	87	12	a	a	DET
ijassa-1300	87	13	video	video	NOUN
ijassa-1300	87	14	based	base	VERB
ijassa-1300	87	15	on	on	ADP
ijassa-1300	87	16	these	these	DET
ijassa-1300	87	17	characteristics	characteristic	NOUN
ijassa-1300	87	18	.	.	PUNCT
ijassa-1300	88	1	their	their	PRON
ijassa-1300	88	2	experiment	experiment	NOUN
ijassa-1300	88	3	result	result	NOUN
ijassa-1300	88	4	showed	show	VERB
ijassa-1300	88	5	that	that	SCONJ
ijassa-1300	88	6	their	their	PRON
ijassa-1300	88	7	proposed	propose	VERB
ijassa-1300	88	8	method	method	NOUN
ijassa-1300	88	9	in	in	ADP
ijassa-1300	88	10	vision	vision	NOUN
ijassa-1300	88	11	-	-	PUNCT
ijassa-1300	88	12	based	base	VERB
ijassa-1300	88	13	fire	fire	NOUN
ijassa-1300	88	14	detection	detection	NOUN
ijassa-1300	88	15	and	and	CCONJ
ijassa-1300	88	16	identification	identification	NOUN
ijassa-1300	88	17	in	in	ADP
ijassa-1300	88	18	videos	video	NOUN
ijassa-1300	88	19	was	be	AUX
ijassa-1300	88	20	effective	effective	ADJ
ijassa-1300	88	21	.	.	PUNCT
ijassa-1300	89	1	in	in	ADP
ijassa-1300	89	2	addition	addition	NOUN
ijassa-1300	89	3	,	,	PUNCT
ijassa-1300	89	4	their	their	PRON
ijassa-1300	89	5	results	result	NOUN
ijassa-1300	89	6	were	be	AUX
ijassa-1300	89	7	accurate	accurate	ADJ
ijassa-1300	89	8	and	and	CCONJ
ijassa-1300	89	9	can	can	AUX
ijassa-1300	89	10	be	be	AUX
ijassa-1300	89	11	used	use	VERB
ijassa-1300	89	12	in	in	ADP
ijassa-1300	89	13	real	real	ADJ
ijassa-1300	89	14	-	-	PUNCT
ijassa-1300	89	15	time	time	NOUN
ijassa-1300	89	16	analysis	analysis	NOUN
ijassa-1300	89	17	.	.	PUNCT
ijassa-1300	90	1	table	table	NOUN
ijassa-1300	90	2	2.1	2.1	NUM
ijassa-1300	90	3	summarizes	summarize	NOUN
ijassa-1300	90	4	a	a	DET
ijassa-1300	90	5	set	set	NOUN
ijassa-1300	90	6	of	of	ADP
ijassa-1300	90	7	the	the	DET
ijassa-1300	90	8	studies	study	NOUN
ijassa-1300	90	9	on	on	ADP
ijassa-1300	90	10	image	image	NOUN
ijassa-1300	90	11	segmentation	segmentation	NOUN
ijassa-1300	90	12	in	in	ADP
ijassa-1300	90	13	various	various	ADJ
ijassa-1300	90	14	fields	field	NOUN
ijassa-1300	90	15	,	,	PUNCT
ijassa-1300	90	16	which	which	PRON
ijassa-1300	90	17	contains	contain	VERB
ijassa-1300	90	18	the	the	DET
ijassa-1300	90	19	techniques	technique	NOUN
ijassa-1300	90	20	used	use	VERB
ijassa-1300	90	21	in	in	ADP
ijassa-1300	90	22	each	each	DET
ijassa-1300	90	23	study	study	NOUN
ijassa-1300	90	24	,	,	PUNCT
ijassa-1300	90	25	the	the	DET
ijassa-1300	90	26	application	application	NOUN
ijassa-1300	90	27	that	that	SCONJ
ijassa-1300	90	28	those	those	DET
ijassa-1300	90	29	techniques	technique	NOUN
ijassa-1300	90	30	is	be	AUX
ijassa-1300	90	31	applied	apply	VERB
ijassa-1300	90	32	for	for	ADP
ijassa-1300	90	33	,	,	PUNCT
ijassa-1300	90	34	the	the	DET
ijassa-1300	90	35	metrics	metric	NOUN
ijassa-1300	90	36	used	use	VERB
ijassa-1300	90	37	to	to	PART
ijassa-1300	90	38	measure	measure	VERB
ijassa-1300	90	39	the	the	DET
ijassa-1300	90	40	performance	performance	NOUN
ijassa-1300	90	41	of	of	ADP
ijassa-1300	90	42	each	each	DET
ijassa-1300	90	43	study	study	NOUN
ijassa-1300	90	44	,	,	PUNCT
ijassa-1300	90	45	and	and	CCONJ
ijassa-1300	90	46	"	"	PUNCT
ijassa-1300	90	47	compared	compare	VERB
ijassa-1300	90	48	with	with	ADP
ijassa-1300	90	49	"	"	PUNCT
ijassa-1300	90	50	(	(	PUNCT
ijassa-1300	90	51	in	in	ADP
ijassa-1300	90	52	each	each	DET
ijassa-1300	90	53	study	study	NOUN
ijassa-1300	90	54	the	the	DET
ijassa-1300	90	55	authors	author	NOUN
ijassa-1300	90	56	compared	compare	VERB
ijassa-1300	90	57	their	their	PRON
ijassa-1300	90	58	proposed	propose	VERB
ijassa-1300	90	59	technique	technique	NOUN
ijassa-1300	90	60	with	with	ADP
ijassa-1300	90	61	other	other	ADJ
ijassa-1300	90	62	techniques	technique	NOUN
ijassa-1300	90	63	in	in	ADP
ijassa-1300	90	64	literatures	literature	NOUN
ijassa-1300	90	65	)	)	PUNCT
ijassa-1300	90	66	.	.	PUNCT
ijassa-1300	91	1	table	table	NOUN
ijassa-1300	91	2	2.1	2.1	NUM
ijassa-1300	91	3	.	.	PUNCT
ijassa-1300	92	1	research	research	NOUN
ijassa-1300	92	2	on	on	ADP
ijassa-1300	92	3	image	image	NOUN
ijassa-1300	92	4	segmentation	segmentation	NOUN
ijassa-1300	92	5	paper	paper	NOUN
ijassa-1300	92	6	techniques	technique	NOUN
ijassa-1300	92	7	application	application	NOUN
ijassa-1300	92	8	measures	measure	NOUN
ijassa-1300	92	9	compared	compare	VERB
ijassa-1300	92	10	with	with	ADP
ijassa-1300	92	11	[	[	X
ijassa-1300	92	12	18	18	NUM
ijassa-1300	92	13	]	]	X
ijassa-1300	92	14	k	k	ADJ
ijassa-1300	92	15	-	-	PUNCT
ijassa-1300	92	16	means	mean	NOUN
ijassa-1300	92	17	and	and	CCONJ
ijassa-1300	92	18	region	region	NOUN
ijassa-1300	92	19	growing	grow	VERB
ijassa-1300	92	20	brain	brain	NOUN
ijassa-1300	92	21	tumor	tumor	NOUN
ijassa-1300	92	22	accuracy	accuracy	NOUN
ijassa-1300	92	23	k	k	NOUN
ijassa-1300	92	24	-	-	PUNCT
ijassa-1300	92	25	means	mean	NOUN
ijassa-1300	92	26	and	and	CCONJ
ijassa-1300	92	27	region	region	NOUN
ijassa-1300	92	28	growing	grow	VERB
ijassa-1300	92	29	[	[	X
ijassa-1300	92	30	12	12	NUM
ijassa-1300	92	31	]	]	X
ijassa-1300	92	32	genetic	genetic	ADJ
ijassa-1300	92	33	algorithm	algorithm	NOUN
ijassa-1300	92	34	plant	plant	NOUN
ijassa-1300	92	35	leaf	leaf	NOUN
ijassa-1300	92	36	diseases	disease	NOUN
ijassa-1300	92	37	accuracy	accuracy	NOUN
ijassa-1300	92	38	k	k	NOUN
ijassa-1300	92	39	-	-	PUNCT
ijassa-1300	92	40	means	mean	NOUN
ijassa-1300	92	41	and	and	CCONJ
ijassa-1300	92	42	svm	svm	VERB
ijassa-1300	92	43	[	[	X
ijassa-1300	92	44	28	28	NUM
ijassa-1300	92	45	]	]	X
ijassa-1300	92	46	genetic	genetic	ADJ
ijassa-1300	92	47	algorithm	algorithm	NOUN
ijassa-1300	92	48	,	,	PUNCT
ijassa-1300	92	49	swarm	swarm	NOUN
ijassa-1300	92	50	,	,	PUNCT
ijassa-1300	92	51	and	and	CCONJ
ijassa-1300	92	52	fcm	fcm	VERB
ijassa-1300	92	53	medical	medical	ADJ
ijassa-1300	92	54	images	image	NOUN
ijassa-1300	92	55	rand	rand	NOUN
ijassa-1300	92	56	index	index	NOUN
ijassa-1300	92	57	,	,	PUNCT
ijassa-1300	92	58	global	global	ADJ
ijassa-1300	92	59	consistency	consistency	NOUN
ijassa-1300	92	60	error	error	NOUN
ijassa-1300	92	61	and	and	CCONJ
ijassa-1300	92	62	variation	variation	NOUN
ijassa-1300	92	63	kfcm	kfcm	NOUN
ijassa-1300	92	64	and	and	CCONJ
ijassa-1300	92	65	fcm	fcm	VERB
ijassa-1300	92	66	167	167	NUM
ijassa-1300	92	67	semantic	semantic	ADJ
ijassa-1300	92	68	image	image	NOUN
ijassa-1300	92	69	segmentation	segmentation	NOUN
ijassa-1300	92	70	using	use	VERB
ijassa-1300	92	71	a	a	DET
ijassa-1300	92	72	hybrid	hybrid	NOUN
ijassa-1300	92	73	…	…	PUNCT
ijassa-1300	92	74	copyright	copyright	NOUN
ijassa-1300	92	75	©	©	PROPN
ijassa-1300	92	76	2023	2023	NUM
ijassa-1300	92	77	assa	assa	NOUN
ijassa-1300	92	78	.	.	PUNCT
ijassa-1300	93	1	adv	adv	PROPN
ijassa-1300	93	2	.	.	PUNCT
ijassa-1300	94	1	in	in	ADP
ijassa-1300	94	2	systems	system	NOUN
ijassa-1300	94	3	science	science	NOUN
ijassa-1300	94	4	and	and	CCONJ
ijassa-1300	94	5	appl	appl	NOUN
ijassa-1300	94	6	.	.	PUNCT
ijassa-1300	95	1	(	(	PUNCT
ijassa-1300	95	2	2023	2023	NUM
ijassa-1300	95	3	)	)	PUNCT
ijassa-1300	96	1	[	[	X
ijassa-1300	96	2	2	2	X
ijassa-1300	96	3	]	]	X
ijassa-1300	96	4	genetic	genetic	ADJ
ijassa-1300	96	5	algorithm	algorithm	NOUN
ijassa-1300	96	6	,	,	PUNCT
ijassa-1300	96	7	fuzzy	fuzzy	ADJ
ijassa-1300	96	8	c	c	NOUN
ijassa-1300	96	9	-	-	PUNCT
ijassa-1300	96	10	mean	mean	ADJ
ijassa-1300	96	11	clinic	clinic	NOUN
ijassa-1300	96	12	mri	mri	NOUN
ijassa-1300	96	13	image	image	NOUN
ijassa-1300	96	14	clustering	cluster	VERB
ijassa-1300	96	15	metrics	metric	NOUN
ijassa-1300	96	16	and	and	CCONJ
ijassa-1300	96	17	computational	computational	ADJ
ijassa-1300	96	18	efficiency	efficiency	NOUN
ijassa-1300	96	19	.	.	PUNCT
ijassa-1300	97	1	gkfcm1	gkfcm1	PROPN
ijassa-1300	97	2	,	,	PUNCT
ijassa-1300	97	3	gkfcm2	gkfcm2	NOUN
ijassa-1300	97	4	,	,	PUNCT
ijassa-1300	97	5	flicm	flicm	ADJ
ijassa-1300	97	6	,	,	PUNCT
ijassa-1300	97	7	kwflicm	kwflicm	NOUN
ijassa-1300	97	8	,	,	PUNCT
ijassa-1300	97	9	mico	mico	PROPN
ijassa-1300	97	10	,	,	PUNCT
ijassa-1300	97	11	and	and	CCONJ
ijassa-1300	97	12	rscfcm	rscfcm	VERB
ijassa-1300	97	13	.	.	PUNCT
ijassa-1300	98	1	[	[	X
ijassa-1300	98	2	22	22	NUM
ijassa-1300	98	3	]	]	PUNCT
ijassa-1300	98	4	graph	graph	NOUN
ijassa-1300	98	5	-	-	PUNCT
ijassa-1300	98	6	based	base	VERB
ijassa-1300	98	7	segmentation	segmentation	NOUN
ijassa-1300	98	8	human	human	NOUN
ijassa-1300	98	9	-	-	PUNCT
ijassa-1300	98	10	labeled	label	VERB
ijassa-1300	98	11	segmentations	segmentation	NOUN
ijassa-1300	98	12	bde	bde	PROPN
ijassa-1300	98	13	,	,	PUNCT
ijassa-1300	98	14	pri	pri	NOUN
ijassa-1300	98	15	,	,	PUNCT
ijassa-1300	98	16	voi	voi	PROPN
ijassa-1300	98	17	,	,	PUNCT
ijassa-1300	98	18	and	and	CCONJ
ijassa-1300	98	19	cov	cov	PROPN
ijassa-1300	98	20	ccp	ccp	PROPN
ijassa-1300	98	21	,	,	PUNCT
ijassa-1300	98	22	gpb	gpb	PROPN
ijassa-1300	98	23	-	-	PUNCT
ijassa-1300	98	24	owt	owt	NOUN
ijassa-1300	98	25	-	-	PUNCT
ijassa-1300	98	26	ucm	ucm	NOUN
ijassa-1300	98	27	,	,	PUNCT
ijassa-1300	98	28	selective	selective	ADJ
ijassa-1300	98	29	search	search	NOUN
ijassa-1300	98	30	,	,	PUNCT
ijassa-1300	98	31	and	and	CCONJ
ijassa-1300	98	32	ms	ms	NOUN
ijassa-1300	98	33	[	[	X
ijassa-1300	98	34	24	24	NUM
ijassa-1300	98	35	]	]	X
ijassa-1300	98	36	convolutional	convolutional	ADJ
ijassa-1300	98	37	neural	neural	ADJ
ijassa-1300	98	38	networks	network	NOUN
ijassa-1300	98	39	2d	2d	NOUN
ijassa-1300	98	40	,	,	PUNCT
ijassa-1300	98	41	and	and	CCONJ
ijassa-1300	98	42	3d	3d	NUM
ijassa-1300	98	43	brain	brain	NOUN
ijassa-1300	98	44	tumor	tumor	NOUN
ijassa-1300	98	45	images	image	NOUN
ijassa-1300	98	46	obstetrician	obstetrician	ADJ
ijassa-1300	98	47	,	,	PUNCT
ijassa-1300	98	48	and	and	CCONJ
ijassa-1300	98	49	radiologist	radiologist	NOUN
ijassa-1300	98	50	p	p	NOUN
ijassa-1300	98	51	-	-	PUNCT
ijassa-1300	98	52	net	net	NOUN
ijassa-1300	98	53	with	with	ADP
ijassa-1300	98	54	fcn	fcn	PROPN
ijassa-1300	98	55	,	,	PUNCT
ijassa-1300	98	56	u	u	NOUN
ijassa-1300	98	57	-	-	NOUN
ijassa-1300	98	58	net	net	ADJ
ijassa-1300	98	59	,	,	PUNCT
ijassa-1300	98	60	deepmedic	deepmedic	ADJ
ijassa-1300	98	61	,	,	PUNCT
ijassa-1300	98	62	highres3dnet	highres3dnet	PROPN
ijassa-1300	98	63	,	,	PUNCT
ijassa-1300	98	64	grabcut	grabcut	NOUN
ijassa-1300	98	65	,	,	PUNCT
ijassa-1300	98	66	slic	slic	NOUN
ijassa-1300	98	67	-	-	PUNCT
ijassa-1300	98	68	seg	seg	PROPN
ijassa-1300	98	69	,	,	PUNCT
ijassa-1300	98	70	and	and	CCONJ
ijassa-1300	98	71	random	random	ADJ
ijassa-1300	98	72	walks	walk	NOUN
ijassa-1300	98	73	[	[	X
ijassa-1300	98	74	19	19	NUM
ijassa-1300	98	75	]	]	X
ijassa-1300	98	76	real	real	ADJ
ijassa-1300	98	77	-	-	PUNCT
ijassa-1300	98	78	time	time	NOUN
ijassa-1300	98	79	color	color	NOUN
ijassa-1300	98	80	image	image	NOUN
ijassa-1300	98	81	segmentation	segmentation	NOUN
ijassa-1300	98	82	fire	fire	NOUN
ijassa-1300	98	83	detection	detection	NOUN
ijassa-1300	98	84	average	average	ADJ
ijassa-1300	98	85	intensity	intensity	NOUN
ijassa-1300	98	86	value	value	NOUN
ijassa-1300	98	87	color	color	NOUN
ijassa-1300	98	88	similarity	similarity	NOUN
ijassa-1300	98	89	and	and	CCONJ
ijassa-1300	98	90	standard	standard	ADJ
ijassa-1300	98	91	deviation	deviation	NOUN
ijassa-1300	98	92	according	accord	VERB
ijassa-1300	98	93	to	to	ADP
ijassa-1300	98	94	table	table	NOUN
ijassa-1300	98	95	2.1	2.1	NUM
ijassa-1300	98	96	,	,	PUNCT
ijassa-1300	98	97	metaheuristic	metaheuristic	ADJ
ijassa-1300	98	98	optimization	optimization	NOUN
ijassa-1300	98	99	algorithms	algorithm	NOUN
ijassa-1300	98	100	are	be	AUX
ijassa-1300	98	101	one	one	NUM
ijassa-1300	98	102	of	of	ADP
ijassa-1300	98	103	the	the	DET
ijassa-1300	98	104	most	most	ADV
ijassa-1300	98	105	popular	popular	ADJ
ijassa-1300	98	106	algorithms	algorithm	NOUN
ijassa-1300	98	107	with	with	ADP
ijassa-1300	98	108	promising	promising	ADJ
ijassa-1300	98	109	results	result	NOUN
ijassa-1300	98	110	for	for	ADP
ijassa-1300	98	111	image	image	NOUN
ijassa-1300	98	112	segmentation	segmentation	NOUN
ijassa-1300	98	113	.	.	PUNCT
ijassa-1300	99	1	ga	ga	PROPN
ijassa-1300	99	2	is	be	AUX
ijassa-1300	99	3	one	one	NUM
ijassa-1300	99	4	of	of	ADP
ijassa-1300	99	5	the	the	DET
ijassa-1300	99	6	most	most	ADV
ijassa-1300	99	7	widely	widely	ADV
ijassa-1300	99	8	used	use	VERB
ijassa-1300	99	9	metaheuristic	metaheuristic	ADJ
ijassa-1300	99	10	optimization	optimization	NOUN
ijassa-1300	99	11	algorithms	algorithm	NOUN
ijassa-1300	99	12	for	for	ADP
ijassa-1300	99	13	solving	solve	VERB
ijassa-1300	99	14	optimization	optimization	NOUN
ijassa-1300	99	15	problems	problem	NOUN
ijassa-1300	99	16	.	.	PUNCT
ijassa-1300	100	1	its	its	PRON
ijassa-1300	100	2	primary	primary	ADJ
ijassa-1300	100	3	drawback	drawback	NOUN
ijassa-1300	100	4	is	be	AUX
ijassa-1300	100	5	that	that	SCONJ
ijassa-1300	100	6	it	it	PRON
ijassa-1300	100	7	is	be	AUX
ijassa-1300	100	8	easily	easily	ADV
ijassa-1300	100	9	trapped	trap	VERB
ijassa-1300	100	10	within	within	ADP
ijassa-1300	100	11	a	a	DET
ijassa-1300	100	12	local	local	ADJ
ijassa-1300	100	13	minimum	minimum	NOUN
ijassa-1300	101	1	[	[	X
ijassa-1300	101	2	16	16	NUM
ijassa-1300	101	3	]	]	PUNCT
ijassa-1300	101	4	.	.	PUNCT
ijassa-1300	102	1	to	to	PART
ijassa-1300	102	2	address	address	VERB
ijassa-1300	102	3	this	this	DET
ijassa-1300	102	4	shortcoming	shortcoming	NOUN
ijassa-1300	102	5	,	,	PUNCT
ijassa-1300	102	6	the	the	DET
ijassa-1300	102	7	current	current	ADJ
ijassa-1300	102	8	study	study	NOUN
ijassa-1300	102	9	will	will	AUX
ijassa-1300	102	10	employ	employ	VERB
ijassa-1300	102	11	the	the	DET
ijassa-1300	102	12	hydride	hydride	NOUN
ijassa-1300	102	13	algorithm	algorithm	NOUN
ijassa-1300	102	14	of	of	ADP
ijassa-1300	102	15	cs	cs	PROPN
ijassa-1300	102	16	and	and	CCONJ
ijassa-1300	102	17	ga	ga	PROPN
ijassa-1300	102	18	to	to	PART
ijassa-1300	102	19	perform	perform	VERB
ijassa-1300	102	20	local	local	ADJ
ijassa-1300	102	21	searches	search	NOUN
ijassa-1300	102	22	faster	fast	ADV
ijassa-1300	102	23	than	than	ADP
ijassa-1300	102	24	[	[	X
ijassa-1300	102	25	16	16	NUM
ijassa-1300	102	26	]	]	PUNCT
ijassa-1300	102	27	.	.	PUNCT
ijassa-1300	103	1	as	as	ADP
ijassa-1300	103	2	a	a	DET
ijassa-1300	103	3	result	result	NOUN
ijassa-1300	103	4	,	,	PUNCT
ijassa-1300	103	5	aside	aside	ADV
ijassa-1300	103	6	from	from	ADP
ijassa-1300	103	7	population	population	NOUN
ijassa-1300	103	8	size	size	NOUN
ijassa-1300	103	9	,	,	PUNCT
ijassa-1300	103	10	cs	cs	PROPN
ijassa-1300	103	11	is	be	AUX
ijassa-1300	103	12	only	only	ADV
ijassa-1300	103	13	single	single	ADJ
ijassa-1300	103	14	parameter	parameter	NOUN
ijassa-1300	103	15	.	.	PUNCT
ijassa-1300	104	1	3	3	X
ijassa-1300	104	2	.	.	X
ijassa-1300	104	3	methodology	methodology	NOUN
ijassa-1300	104	4	this	this	DET
ijassa-1300	104	5	study	study	NOUN
ijassa-1300	104	6	aims	aim	VERB
ijassa-1300	104	7	to	to	PART
ijassa-1300	104	8	provide	provide	VERB
ijassa-1300	104	9	an	an	DET
ijassa-1300	104	10	empirical	empirical	ADJ
ijassa-1300	104	11	basis	basis	NOUN
ijassa-1300	104	12	for	for	ADP
ijassa-1300	104	13	research	research	NOUN
ijassa-1300	104	14	on	on	ADP
ijassa-1300	104	15	image	image	NOUN
ijassa-1300	104	16	segmentation	segmentation	NOUN
ijassa-1300	104	17	and	and	CCONJ
ijassa-1300	104	18	boundary	boundary	ADJ
ijassa-1300	104	19	detection	detection	NOUN
ijassa-1300	104	20	.	.	PUNCT
ijassa-1300	105	1	accordingly	accordingly	ADV
ijassa-1300	105	2	,	,	PUNCT
ijassa-1300	105	3	we	we	PRON
ijassa-1300	105	4	applied	apply	VERB
ijassa-1300	105	5	a	a	DET
ijassa-1300	105	6	hybrid	hybrid	ADJ
ijassa-1300	105	7	algorithm	algorithm	NOUN
ijassa-1300	105	8	called	call	VERB
ijassa-1300	105	9	csga	csga	PROPN
ijassa-1300	105	10	,	,	PUNCT
ijassa-1300	105	11	which	which	PRON
ijassa-1300	105	12	combines	combine	VERB
ijassa-1300	105	13	the	the	DET
ijassa-1300	105	14	advantages	advantage	NOUN
ijassa-1300	105	15	of	of	ADP
ijassa-1300	105	16	ga	ga	PROPN
ijassa-1300	105	17	and	and	CCONJ
ijassa-1300	105	18	cs	cs	X
ijassa-1300	106	1	[	[	X
ijassa-1300	106	2	8	8	NUM
ijassa-1300	106	3	]	]	PUNCT
ijassa-1300	106	4	,	,	PUNCT
ijassa-1300	106	5	on	on	ADP
ijassa-1300	106	6	grayscale	grayscale	NOUN
ijassa-1300	106	7	images	image	NOUN
ijassa-1300	106	8	and	and	CCONJ
ijassa-1300	106	9	compared	compare	VERB
ijassa-1300	106	10	it	it	PRON
ijassa-1300	106	11	with	with	ADP
ijassa-1300	106	12	fcm	fcm	PROPN
ijassa-1300	106	13	,	,	PUNCT
ijassa-1300	106	14	k	k	NOUN
ijassa-1300	106	15	-	-	PUNCT
ijassa-1300	106	16	means	mean	NOUN
ijassa-1300	106	17	,	,	PUNCT
ijassa-1300	106	18	and	and	CCONJ
ijassa-1300	106	19	ga	ga	X
ijassa-1300	106	20	by	by	ADP
ijassa-1300	106	21	using	use	VERB
ijassa-1300	106	22	the	the	DET
ijassa-1300	106	23	public	public	ADJ
ijassa-1300	106	24	berkeley	berkeley	PROPN
ijassa-1300	106	25	benchmark	benchmark	NOUN
ijassa-1300	106	26	.	.	PUNCT
ijassa-1300	107	1	this	this	DET
ijassa-1300	107	2	standard	standard	PROPN
ijassa-1300	107	3	uses	use	VERB
ijassa-1300	107	4	a	a	DET
ijassa-1300	107	5	human	human	ADJ
ijassa-1300	107	6	segmented	segment	VERB
ijassa-1300	107	7	image	image	NOUN
ijassa-1300	107	8	that	that	PRON
ijassa-1300	107	9	provides	provide	VERB
ijassa-1300	107	10	ground	ground	NOUN
ijassa-1300	107	11	truth	truth	NOUN
ijassa-1300	107	12	boundaries	boundary	NOUN
ijassa-1300	107	13	to	to	PART
ijassa-1300	107	14	determine	determine	VERB
ijassa-1300	107	15	how	how	SCONJ
ijassa-1300	107	16	well	well	ADV
ijassa-1300	107	17	this	this	DET
ijassa-1300	107	18	soft	soft	ADJ
ijassa-1300	107	19	boundary	boundary	ADJ
ijassa-1300	107	20	map	map	NOUN
ijassa-1300	107	21	approximates	approximate	VERB
ijassa-1300	107	22	the	the	DET
ijassa-1300	107	23	ground	ground	NOUN
ijassa-1300	107	24	truth	truth	NOUN
ijassa-1300	107	25	boundaries	boundary	NOUN
ijassa-1300	107	26	in	in	ADP
ijassa-1300	107	27	different	different	ADJ
ijassa-1300	107	28	algorithms	algorithm	NOUN
ijassa-1300	107	29	.	.	PUNCT
ijassa-1300	108	1	figure	figure	VERB
ijassa-1300	108	2	3.1	3.1	NUM
ijassa-1300	108	3	illustrates	illustrate	VERB
ijassa-1300	108	4	the	the	DET
ijassa-1300	108	5	methodology	methodology	NOUN
ijassa-1300	108	6	set	set	VERB
ijassa-1300	108	7	up	up	ADP
ijassa-1300	108	8	used	use	VERB
ijassa-1300	108	9	in	in	ADP
ijassa-1300	108	10	this	this	DET
ijassa-1300	108	11	study	study	NOUN
ijassa-1300	108	12	.	.	PUNCT
ijassa-1300	109	1	the	the	DET
ijassa-1300	109	2	first	first	ADJ
ijassa-1300	109	3	step	step	NOUN
ijassa-1300	109	4	involves	involve	VERB
ijassa-1300	109	5	reading	read	VERB
ijassa-1300	109	6	an	an	DET
ijassa-1300	109	7	image	image	NOUN
ijassa-1300	109	8	taken	take	VERB
ijassa-1300	109	9	from	from	ADP
ijassa-1300	109	10	an	an	DET
ijassa-1300	109	11	image	image	NOUN
ijassa-1300	109	12	segmentation	segmentation	NOUN
ijassa-1300	109	13	benchmark	benchmark	NOUN
ijassa-1300	109	14	.	.	PUNCT
ijassa-1300	110	1	the	the	DET
ijassa-1300	110	2	second	second	ADJ
ijassa-1300	110	3	step	step	NOUN
ijassa-1300	110	4	entails	entail	VERB
ijassa-1300	110	5	performing	perform	VERB
ijassa-1300	110	6	segmentation	segmentation	NOUN
ijassa-1300	110	7	using	use	VERB
ijassa-1300	110	8	gacs	gac	NOUN
ijassa-1300	110	9	.	.	PUNCT
ijassa-1300	111	1	the	the	DET
ijassa-1300	111	2	third	third	ADJ
ijassa-1300	111	3	step	step	NOUN
ijassa-1300	111	4	involves	involve	VERB
ijassa-1300	111	5	performing	perform	VERB
ijassa-1300	111	6	segmentation	segmentation	NOUN
ijassa-1300	111	7	using	use	VERB
ijassa-1300	111	8	other	other	ADJ
ijassa-1300	111	9	segmentation	segmentation	NOUN
ijassa-1300	111	10	methods	method	NOUN
ijassa-1300	111	11	.	.	PUNCT
ijassa-1300	112	1	lastly	lastly	ADV
ijassa-1300	112	2	,	,	PUNCT
ijassa-1300	112	3	the	the	DET
ijassa-1300	112	4	ground	ground	NOUN
ijassa-1300	112	5	truth	truth	NOUN
ijassa-1300	112	6	of	of	ADP
ijassa-1300	112	7	the	the	DET
ijassa-1300	112	8	proposed	propose	VERB
ijassa-1300	112	9	method	method	NOUN
ijassa-1300	112	10	is	be	AUX
ijassa-1300	112	11	compared	compare	VERB
ijassa-1300	112	12	with	with	ADP
ijassa-1300	112	13	other	other	ADJ
ijassa-1300	112	14	methods	method	NOUN
ijassa-1300	112	15	using	use	VERB
ijassa-1300	112	16	the	the	DET
ijassa-1300	112	17	following	follow	VERB
ijassa-1300	112	18	evaluation	evaluation	NOUN
ijassa-1300	112	19	metrics	metric	NOUN
ijassa-1300	112	20	:	:	PUNCT
ijassa-1300	113	1	1	1	X
ijassa-1300	113	2	.	.	X
ijassa-1300	113	3	jaccard	jaccard	PROPN
ijassa-1300	113	4	similarity	similarity	PROPN
ijassa-1300	113	5	coefficient	coefficient	NOUN
ijassa-1300	113	6	[	[	X
ijassa-1300	113	7	7	7	NUM
ijassa-1300	113	8	]	]	PUNCT
ijassa-1300	113	9	.	.	PUNCT
ijassa-1300	114	1	this	this	DET
ijassa-1300	114	2	metric	metric	NOUN
ijassa-1300	114	3	compares	compare	VERB
ijassa-1300	114	4	the	the	DET
ijassa-1300	114	5	members	member	NOUN
ijassa-1300	114	6	of	of	ADP
ijassa-1300	114	7	two	two	NUM
ijassa-1300	114	8	sets	set	NOUN
ijassa-1300	114	9	to	to	PART
ijassa-1300	114	10	determine	determine	VERB
ijassa-1300	114	11	which	which	PRON
ijassa-1300	114	12	members	member	NOUN
ijassa-1300	114	13	are	be	AUX
ijassa-1300	114	14	shared	share	VERB
ijassa-1300	114	15	and	and	CCONJ
ijassa-1300	114	16	which	which	PRON
ijassa-1300	114	17	are	be	AUX
ijassa-1300	114	18	distinct	distinct	ADJ
ijassa-1300	114	19	.	.	PUNCT
ijassa-1300	115	1	this	this	DET
ijassa-1300	115	2	measure	measure	NOUN
ijassa-1300	115	3	of	of	ADP
ijassa-1300	115	4	similarity	similarity	NOUN
ijassa-1300	115	5	for	for	ADP
ijassa-1300	115	6	two	two	NUM
ijassa-1300	115	7	sets	set	NOUN
ijassa-1300	115	8	of	of	ADP
ijassa-1300	115	9	data	datum	NOUN
ijassa-1300	115	10	has	have	VERB
ijassa-1300	115	11	a	a	DET
ijassa-1300	115	12	range	range	NOUN
ijassa-1300	115	13	from	from	ADP
ijassa-1300	115	14	0	0	NUM
ijassa-1300	115	15	%	%	NOUN
ijassa-1300	115	16	to	to	PART
ijassa-1300	115	17	100	100	NUM
ijassa-1300	115	18	%	%	NOUN
ijassa-1300	115	19	.	.	PUNCT
ijassa-1300	116	1	the	the	PRON
ijassa-1300	116	2	higher	high	ADJ
ijassa-1300	116	3	the	the	DET
ijassa-1300	116	4	percentage	percentage	NOUN
ijassa-1300	116	5	,	,	PUNCT
ijassa-1300	116	6	the	the	PRON
ijassa-1300	116	7	more	more	ADV
ijassa-1300	116	8	similar	similar	ADJ
ijassa-1300	116	9	the	the	DET
ijassa-1300	116	10	two	two	NUM
ijassa-1300	116	11	populations	population	NOUN
ijassa-1300	116	12	.	.	PUNCT
ijassa-1300	117	1	the	the	DET
ijassa-1300	117	2	jaccard	jaccard	ADJ
ijassa-1300	117	3	equation	equation	NOUN
ijassa-1300	117	4	is	be	AUX
ijassa-1300	117	5	as	as	SCONJ
ijassa-1300	117	6	follows	follow	VERB
ijassa-1300	117	7	:	:	PUNCT
ijassa-1300	117	8	𝐽(𝑋	𝐽(𝑋	PROPN
ijassa-1300	117	9	;	;	PUNCT
ijassa-1300	117	10	𝑌	𝑌	PROPN
ijassa-1300	117	11	)	)	PUNCT
ijassa-1300	117	12	=	=	SYM
ijassa-1300	117	13	|𝑋	|𝑋	PROPN
ijassa-1300	117	14	∩	∩	PROPN
ijassa-1300	117	15	𝑌|	𝑌|	PROPN
ijassa-1300	117	16	|𝑋	|𝑋	PROPN
ijassa-1300	117	17	∪	∪	ADP
ijassa-1300	117	18	𝑌|	𝑌|	PROPN
ijassa-1300	117	19	(	(	PUNCT
ijassa-1300	117	20	3.1	3.1	NUM
ijassa-1300	117	21	)	)	PUNCT
ijassa-1300	117	22	2	2	NUM
ijassa-1300	117	23	.	.	X
ijassa-1300	117	24	false	false	ADJ
ijassa-1300	117	25	positive	positive	ADJ
ijassa-1300	117	26	ratio	ratio	NOUN
ijassa-1300	117	27	[	[	X
ijassa-1300	117	28	27	27	NUM
ijassa-1300	117	29	]	]	PUNCT
ijassa-1300	117	30	.	.	PUNCT
ijassa-1300	118	1	this	this	DET
ijassa-1300	118	2	metric	metric	NOUN
ijassa-1300	118	3	involves	involve	VERB
ijassa-1300	118	4	the	the	DET
ijassa-1300	118	5	probability	probability	NOUN
ijassa-1300	118	6	of	of	ADP
ijassa-1300	118	7	falsely	falsely	ADV
ijassa-1300	118	8	rejecting	reject	VERB
ijassa-1300	118	9	a	a	DET
ijassa-1300	118	10	null	null	ADJ
ijassa-1300	118	11	hypothesis	hypothesis	NOUN
ijassa-1300	118	12	for	for	ADP
ijassa-1300	118	13	a	a	DET
ijassa-1300	118	14	particular	particular	ADJ
ijassa-1300	118	15	test	test	NOUN
ijassa-1300	118	16	.	.	PUNCT
ijassa-1300	119	1	the	the	DET
ijassa-1300	119	2	false	false	ADJ
ijassa-1300	119	3	positive	positive	ADJ
ijassa-1300	119	4	ratio	ratio	NOUN
ijassa-1300	119	5	is	be	AUX
ijassa-1300	119	6	calculated	calculate	VERB
ijassa-1300	119	7	as	as	ADP
ijassa-1300	119	8	the	the	DET
ijassa-1300	119	9	ratio	ratio	NOUN
ijassa-1300	119	10	between	between	ADP
ijassa-1300	119	11	the	the	DET
ijassa-1300	119	12	number	number	NOUN
ijassa-1300	119	13	of	of	ADP
ijassa-1300	119	14	negative	negative	ADJ
ijassa-1300	119	15	events	event	NOUN
ijassa-1300	119	16	wrongly	wrongly	ADV
ijassa-1300	119	17	categorized	categorize	VERB
ijassa-1300	119	18	as	as	ADP
ijassa-1300	119	19	positive	positive	ADJ
ijassa-1300	119	20	and	and	CCONJ
ijassa-1300	119	21	the	the	DET
ijassa-1300	119	22	total	total	ADJ
ijassa-1300	119	23	number	number	NOUN
ijassa-1300	119	24	of	of	ADP
ijassa-1300	119	25	actual	actual	ADJ
ijassa-1300	119	26	negative	negative	ADJ
ijassa-1300	119	27	events	event	NOUN
ijassa-1300	119	28	:	:	PUNCT
ijassa-1300	119	29	𝐹𝑃𝑅	𝐹𝑃𝑅	NUM
ijassa-1300	119	30	=	=	SYM
ijassa-1300	119	31	𝐹𝑃	𝐹𝑃	PROPN
ijassa-1300	119	32	𝐹𝑃	𝐹𝑃	PROPN
ijassa-1300	119	33	+	+	CCONJ
ijassa-1300	119	34	𝑇𝑁	𝑇𝑁	PROPN
ijassa-1300	119	35	(	(	PUNCT
ijassa-1300	119	36	3.2	3.2	NUM
ijassa-1300	119	37	)	)	PUNCT
ijassa-1300	119	38	where	where	SCONJ
ijassa-1300	119	39	𝐹𝑃	𝐹𝑃	PROPN
ijassa-1300	119	40	is	be	AUX
ijassa-1300	119	41	the	the	DET
ijassa-1300	119	42	number	number	NOUN
ijassa-1300	119	43	of	of	ADP
ijassa-1300	119	44	false	false	ADJ
ijassa-1300	119	45	positives	positive	NOUN
ijassa-1300	119	46	,	,	PUNCT
ijassa-1300	119	47	𝑇𝑁	𝑇𝑁	PROPN
ijassa-1300	119	48	is	be	AUX
ijassa-1300	119	49	the	the	DET
ijassa-1300	119	50	number	number	NOUN
ijassa-1300	119	51	of	of	ADP
ijassa-1300	119	52	true	true	ADJ
ijassa-1300	119	53	negatives	negative	NOUN
ijassa-1300	119	54	,	,	PUNCT
ijassa-1300	119	55	and	and	CCONJ
ijassa-1300	119	56	𝑁	𝑁	PROPN
ijassa-1300	119	57	is	be	AUX
ijassa-1300	119	58	the	the	DET
ijassa-1300	119	59	total	total	ADJ
ijassa-1300	119	60	number	number	NOUN
ijassa-1300	119	61	of	of	ADP
ijassa-1300	119	62	negatives	negative	NOUN
ijassa-1300	119	63	.	.	PUNCT
ijassa-1300	120	1	3	3	X
ijassa-1300	120	2	.	.	NOUN
ijassa-1300	120	3	false	false	ADJ
ijassa-1300	120	4	negative	negative	ADJ
ijassa-1300	120	5	ratio	ratio	NOUN
ijassa-1300	120	6	[	[	X
ijassa-1300	120	7	27	27	NUM
ijassa-1300	120	8	]	]	PUNCT
ijassa-1300	120	9	.	.	PUNCT
ijassa-1300	121	1	this	this	DET
ijassa-1300	121	2	test	test	NOUN
ijassa-1300	121	3	result	result	NOUN
ijassa-1300	121	4	indicates	indicate	VERB
ijassa-1300	121	5	that	that	SCONJ
ijassa-1300	121	6	a	a	DET
ijassa-1300	121	7	condition	condition	NOUN
ijassa-1300	121	8	does	do	AUX
ijassa-1300	121	9	not	not	PART
ijassa-1300	121	10	hold	hold	VERB
ijassa-1300	121	11	,	,	PUNCT
ijassa-1300	121	12	even	even	ADV
ijassa-1300	121	13	though	though	SCONJ
ijassa-1300	121	14	it	it	PRON
ijassa-1300	121	15	does	do	VERB
ijassa-1300	121	16	in	in	ADP
ijassa-1300	121	17	reality	reality	NOUN
ijassa-1300	121	18	.	.	PUNCT
ijassa-1300	122	1	the	the	DET
ijassa-1300	122	2	false	false	ADJ
ijassa-1300	122	3	negative	negative	ADJ
ijassa-1300	122	4	ratio	ratio	NOUN
ijassa-1300	122	5	is	be	AUX
ijassa-1300	122	6	the	the	DET
ijassa-1300	122	7	conditional	conditional	ADJ
ijassa-1300	122	8	probability	probability	NOUN
ijassa-1300	122	9	of	of	ADP
ijassa-1300	122	10	a	a	DET
ijassa-1300	122	11	negative	negative	ADJ
ijassa-1300	122	12	test	test	NOUN
ijassa-1300	122	13	result	result	NOUN
ijassa-1300	122	14	and	and	CCONJ
ijassa-1300	122	15	the	the	DET
ijassa-1300	122	16	condition	condition	NOUN
ijassa-1300	122	17	being	be	AUX
ijassa-1300	122	18	determined	determine	VERB
ijassa-1300	122	19	is	be	AUX
ijassa-1300	122	20	presented	present	VERB
ijassa-1300	122	21	by	by	ADP
ijassa-1300	122	22	the	the	DET
ijassa-1300	122	23	following	follow	VERB
ijassa-1300	122	24	equation	equation	NOUN
ijassa-1300	122	25	:	:	PUNCT
ijassa-1300	122	26	168	168	NUM
ijassa-1300	122	27	a.	a.	NOUN
ijassa-1300	122	28	abu	abu	PROPN
ijassa-1300	122	29	srhan	srhan	PROPN
ijassa-1300	122	30	,	,	PUNCT
ijassa-1300	122	31	m.	m.	PROPN
ijassa-1300	122	32	h.	h.	PROPN
ijassa-1300	122	33	qasem	qasem	PROPN
ijassa-1300	122	34	,	,	PUNCT
ijassa-1300	122	35	h.s	h.s	PROPN
ijassa-1300	122	36	.	.	PROPN
ijassa-1300	123	1	natoureah	natoureah	PROPN
ijassa-1300	123	2	,	,	PUNCT
ijassa-1300	123	3	a.	a.	NOUN
ijassa-1300	123	4	shdaifat	shdaifat	PROPN
ijassa-1300	123	5	copyright	copyright	NOUN
ijassa-1300	124	1	©	©	PROPN
ijassa-1300	124	2	2023	2023	NUM
ijassa-1300	124	3	assa	assa	PROPN
ijassa-1300	124	4	adv	adv	PROPN
ijassa-1300	124	5	.	.	PUNCT
ijassa-1300	125	1	in	in	ADP
ijassa-1300	125	2	systems	system	NOUN
ijassa-1300	125	3	science	science	NOUN
ijassa-1300	125	4	and	and	CCONJ
ijassa-1300	125	5	appl	appl	NOUN
ijassa-1300	125	6	.	.	PUNCT
ijassa-1300	126	1	(	(	PUNCT
ijassa-1300	126	2	2023	2023	NUM
ijassa-1300	126	3	)	)	PUNCT
ijassa-1300	127	1	𝐹𝑁𝑅	𝐹𝑁𝑅	NOUN
ijassa-1300	127	2	=	=	SYM
ijassa-1300	128	1	𝐹𝑁	𝐹𝑁	PROPN
ijassa-1300	128	2	𝑇𝑃	𝑇𝑃	NOUN
ijassa-1300	128	3	+	+	CCONJ
ijassa-1300	128	4	𝐹𝑁	𝐹𝑁	PROPN
ijassa-1300	128	5	(	(	PUNCT
ijassa-1300	128	6	3.3	3.3	NUM
ijassa-1300	128	7	)	)	PUNCT
ijassa-1300	128	8	where	where	SCONJ
ijassa-1300	128	9	𝐹𝑁	𝐹𝑁	PROPN
ijassa-1300	128	10	is	be	AUX
ijassa-1300	128	11	the	the	DET
ijassa-1300	128	12	number	number	NOUN
ijassa-1300	128	13	of	of	ADP
ijassa-1300	128	14	false	false	ADJ
ijassa-1300	128	15	negative	negative	ADJ
ijassa-1300	128	16	and	and	CCONJ
ijassa-1300	128	17	𝑇𝑃	𝑇𝑃	NOUN
ijassa-1300	128	18	is	be	AUX
ijassa-1300	128	19	the	the	DET
ijassa-1300	128	20	number	number	NOUN
ijassa-1300	128	21	of	of	ADP
ijassa-1300	128	22	true	true	ADJ
ijassa-1300	128	23	positive	positive	ADJ
ijassa-1300	128	24	.	.	PUNCT
ijassa-1300	129	1	fig	fig	NOUN
ijassa-1300	129	2	.	.	PUNCT
ijassa-1300	130	1	3.1	3.1	NUM
ijassa-1300	130	2	.	.	PUNCT
ijassa-1300	130	3	methodology	methodology	NOUN
ijassa-1300	130	4	steps	step	VERB
ijassa-1300	130	5	3.1.cuckoo	3.1.cuckoo	NUM
ijassa-1300	130	6	search	search	NOUN
ijassa-1300	130	7	yang	yang	NOUN
ijassa-1300	130	8	and	and	CCONJ
ijassa-1300	130	9	deb	deb	PROPN
ijassa-1300	130	10	[	[	X
ijassa-1300	130	11	27	27	NUM
ijassa-1300	130	12	]	]	PUNCT
ijassa-1300	130	13	developed	develop	VERB
ijassa-1300	130	14	a	a	DET
ijassa-1300	130	15	cs	cs	PROPN
ijassa-1300	130	16	algorithm	algorithm	NOUN
ijassa-1300	130	17	based	base	VERB
ijassa-1300	130	18	on	on	ADP
ijassa-1300	130	19	the	the	DET
ijassa-1300	130	20	lévy	lévy	ADJ
ijassa-1300	130	21	flight	flight	NOUN
ijassa-1300	130	22	and	and	CCONJ
ijassa-1300	130	23	brood	brood	NOUN
ijassa-1300	130	24	parasitic	parasitic	ADJ
ijassa-1300	130	25	behaviors	behavior	NOUN
ijassa-1300	130	26	.	.	PUNCT
ijassa-1300	131	1	this	this	DET
ijassa-1300	131	2	cs	cs	PROPN
ijassa-1300	131	3	algorithm	algorithm	NOUN
ijassa-1300	131	4	has	have	AUX
ijassa-1300	131	5	been	be	AUX
ijassa-1300	131	6	proven	prove	VERB
ijassa-1300	131	7	to	to	PART
ijassa-1300	131	8	deliver	deliver	VERB
ijassa-1300	131	9	excellent	excellent	ADJ
ijassa-1300	131	10	performance	performance	NOUN
ijassa-1300	131	11	in	in	ADP
ijassa-1300	131	12	function	function	NOUN
ijassa-1300	131	13	optimization	optimization	NOUN
ijassa-1300	131	14	,	,	PUNCT
ijassa-1300	131	15	engineering	engineering	NOUN
ijassa-1300	131	16	design	design	NOUN
ijassa-1300	131	17	,	,	PUNCT
ijassa-1300	131	18	neural	neural	ADJ
ijassa-1300	131	19	network	network	NOUN
ijassa-1300	131	20	training	training	NOUN
ijassa-1300	131	21	,	,	PUNCT
ijassa-1300	131	22	and	and	CCONJ
ijassa-1300	131	23	other	other	ADJ
ijassa-1300	131	24	continuous	continuous	ADJ
ijassa-1300	131	25	target	target	NOUN
ijassa-1300	131	26	optimization	optimization	NOUN
ijassa-1300	131	27	problems	problem	NOUN
ijassa-1300	131	28	,	,	PUNCT
ijassa-1300	131	29	as	as	ADV
ijassa-1300	131	30	well	well	ADV
ijassa-1300	131	31	as	as	ADP
ijassa-1300	131	32	solved	solve	VERB
ijassa-1300	131	33	the	the	DET
ijassa-1300	131	34	knapsack	knapsack	NOUN
ijassa-1300	131	35	and	and	CCONJ
ijassa-1300	131	36	nurse	nurse	NOUN
ijassa-1300	131	37	-	-	PUNCT
ijassa-1300	131	38	scheduling	scheduling	NOUN
ijassa-1300	131	39	problems	problem	NOUN
ijassa-1300	131	40	[	[	X
ijassa-1300	131	41	27	27	NUM
ijassa-1300	131	42	]	]	PUNCT
ijassa-1300	131	43	.	.	PUNCT
ijassa-1300	132	1	cuckoo	cuckoo	NOUN
ijassa-1300	132	2	birds	bird	NOUN
ijassa-1300	132	3	have	have	VERB
ijassa-1300	132	4	an	an	DET
ijassa-1300	132	5	aggressive	aggressive	ADJ
ijassa-1300	132	6	reproduction	reproduction	NOUN
ijassa-1300	132	7	,	,	PUNCT
ijassa-1300	132	8	in	in	ADP
ijassa-1300	132	9	which	which	PRON
ijassa-1300	132	10	the	the	DET
ijassa-1300	132	11	females	female	NOUN
ijassa-1300	132	12	hijack	hijack	VERB
ijassa-1300	132	13	and	and	CCONJ
ijassa-1300	132	14	lay	lie	VERB
ijassa-1300	132	15	their	their	PRON
ijassa-1300	132	16	fertilized	fertilize	VERB
ijassa-1300	132	17	eggs	egg	NOUN
ijassa-1300	132	18	in	in	ADP
ijassa-1300	132	19	other	other	ADJ
ijassa-1300	132	20	birds	bird	NOUN
ijassa-1300	132	21	’	'	PUNCT
ijassa-1300	132	22	nests	nest	NOUN
ijassa-1300	132	23	.	.	PUNCT
ijassa-1300	133	1	if	if	SCONJ
ijassa-1300	133	2	the	the	DET
ijassa-1300	133	3	host	host	NOUN
ijassa-1300	133	4	bird	bird	NOUN
ijassa-1300	133	5	discovers	discover	VERB
ijassa-1300	133	6	that	that	SCONJ
ijassa-1300	133	7	the	the	DET
ijassa-1300	133	8	eggs	egg	NOUN
ijassa-1300	133	9	do	do	AUX
ijassa-1300	133	10	not	not	PART
ijassa-1300	133	11	belong	belong	VERB
ijassa-1300	133	12	to	to	ADP
ijassa-1300	133	13	it	it	PRON
ijassa-1300	133	14	,	,	PUNCT
ijassa-1300	133	15	it	it	PRON
ijassa-1300	133	16	either	either	CCONJ
ijassa-1300	133	17	throws	throw	VERB
ijassa-1300	133	18	away	away	ADV
ijassa-1300	133	19	or	or	CCONJ
ijassa-1300	133	20	abandons	abandon	VERB
ijassa-1300	133	21	its	its	PRON
ijassa-1300	133	22	nest	nest	NOUN
ijassa-1300	133	23	and	and	CCONJ
ijassa-1300	133	24	builds	build	VERB
ijassa-1300	133	25	a	a	DET
ijassa-1300	133	26	new	new	ADJ
ijassa-1300	133	27	one	one	NOUN
ijassa-1300	133	28	elsewhere	elsewhere	ADV
ijassa-1300	133	29	[	[	X
ijassa-1300	133	30	26	26	NUM
ijassa-1300	133	31	]	]	PUNCT
ijassa-1300	133	32	.	.	PUNCT
ijassa-1300	134	1	yang	yang	PROPN
ijassa-1300	134	2	and	and	CCONJ
ijassa-1300	134	3	deb	deb	PROPN
ijassa-1300	135	1	[	[	X
ijassa-1300	135	2	21	21	NUM
ijassa-1300	135	3	]	]	PUNCT
ijassa-1300	135	4	explained	explain	VERB
ijassa-1300	135	5	that	that	SCONJ
ijassa-1300	135	6	the	the	DET
ijassa-1300	135	7	cs	cs	PROPN
ijassa-1300	135	8	algorithm	algorithm	NOUN
ijassa-1300	135	9	is	be	AUX
ijassa-1300	135	10	based	base	VERB
ijassa-1300	135	11	on	on	ADP
ijassa-1300	135	12	three	three	NUM
ijassa-1300	135	13	assumptions	assumption	NOUN
ijassa-1300	135	14	.	.	PUNCT
ijassa-1300	136	1	1	1	X
ijassa-1300	136	2	.	.	X
ijassa-1300	136	3	each	each	DET
ijassa-1300	136	4	cuckoo	cuckoo	NOUN
ijassa-1300	136	5	lays	lay	VERB
ijassa-1300	136	6	one	one	NUM
ijassa-1300	136	7	egg	egg	NOUN
ijassa-1300	136	8	at	at	ADP
ijassa-1300	136	9	a	a	DET
ijassa-1300	136	10	time	time	NOUN
ijassa-1300	136	11	and	and	CCONJ
ijassa-1300	136	12	places	place	VERB
ijassa-1300	136	13	it	it	PRON
ijassa-1300	136	14	in	in	ADP
ijassa-1300	136	15	a	a	DET
ijassa-1300	136	16	randomly	randomly	ADV
ijassa-1300	136	17	chosen	choose	VERB
ijassa-1300	136	18	nest	nest	NOUN
ijassa-1300	136	19	.	.	PUNCT
ijassa-1300	137	1	2	2	X
ijassa-1300	137	2	.	.	X
ijassa-1300	137	3	the	the	DET
ijassa-1300	137	4	best	good	ADJ
ijassa-1300	137	5	nests	nest	NOUN
ijassa-1300	137	6	with	with	ADP
ijassa-1300	137	7	the	the	DET
ijassa-1300	137	8	highest	high	ADJ
ijassa-1300	137	9	quality	quality	NOUN
ijassa-1300	137	10	of	of	ADP
ijassa-1300	137	11	eggs	egg	NOUN
ijassa-1300	137	12	(	(	PUNCT
ijassa-1300	137	13	solutions	solution	NOUN
ijassa-1300	137	14	)	)	PUNCT
ijassa-1300	137	15	carry	carry	VERB
ijassa-1300	137	16	over	over	ADP
ijassa-1300	137	17	to	to	ADP
ijassa-1300	137	18	the	the	DET
ijassa-1300	137	19	next	next	ADJ
ijassa-1300	137	20	generations	generation	NOUN
ijassa-1300	137	21	.	.	PUNCT
ijassa-1300	138	1	3	3	X
ijassa-1300	138	2	.	.	X
ijassa-1300	138	3	the	the	DET
ijassa-1300	138	4	number	number	NOUN
ijassa-1300	138	5	of	of	ADP
ijassa-1300	138	6	available	available	ADJ
ijassa-1300	138	7	host	host	NOUN
ijassa-1300	138	8	nests	nest	NOUN
ijassa-1300	138	9	is	be	AUX
ijassa-1300	138	10	fixed	fix	VERB
ijassa-1300	138	11	and	and	CCONJ
ijassa-1300	138	12	a	a	DET
ijassa-1300	138	13	host	host	NOUN
ijassa-1300	138	14	has	have	VERB
ijassa-1300	138	15	a	a	DET
ijassa-1300	138	16	probability	probability	NOUN
ijassa-1300	138	17	𝑝	𝑝	ADP
ijassa-1300	138	18			NOUN
ijassa-1300	138	19	(	(	PUNCT
ijassa-1300	138	20	0	0	NUM
ijassa-1300	138	21	;	;	PUNCT
ijassa-1300	138	22	1	1	NUM
ijassa-1300	138	23	)	)	PUNCT
ijassa-1300	138	24	of	of	ADP
ijassa-1300	138	25	discovering	discover	VERB
ijassa-1300	138	26	an	an	DET
ijassa-1300	138	27	alien	alien	ADJ
ijassa-1300	138	28	egg	egg	NOUN
ijassa-1300	138	29	.	.	PUNCT
ijassa-1300	139	1	in	in	ADP
ijassa-1300	139	2	this	this	DET
ijassa-1300	139	3	case	case	NOUN
ijassa-1300	139	4	,	,	PUNCT
ijassa-1300	139	5	the	the	DET
ijassa-1300	139	6	host	host	NOUN
ijassa-1300	139	7	bird	bird	NOUN
ijassa-1300	139	8	either	either	CCONJ
ijassa-1300	139	9	throws	throw	VERB
ijassa-1300	139	10	out	out	ADP
ijassa-1300	139	11	the	the	DET
ijassa-1300	139	12	egg	egg	NOUN
ijassa-1300	139	13	or	or	CCONJ
ijassa-1300	139	14	abandons	abandon	VERB
ijassa-1300	139	15	the	the	DET
ijassa-1300	139	16	nest	nest	NOUN
ijassa-1300	139	17	to	to	PART
ijassa-1300	139	18	build	build	VERB
ijassa-1300	139	19	a	a	DET
ijassa-1300	139	20	new	new	ADJ
ijassa-1300	139	21	one	one	NOUN
ijassa-1300	139	22	in	in	ADP
ijassa-1300	139	23	a	a	DET
ijassa-1300	139	24	different	different	ADJ
ijassa-1300	139	25	location	location	NOUN
ijassa-1300	139	26	.	.	PUNCT
ijassa-1300	140	1	the	the	DET
ijassa-1300	140	2	third	third	ADJ
ijassa-1300	140	3	assumption	assumption	NOUN
ijassa-1300	140	4	can	can	AUX
ijassa-1300	140	5	be	be	AUX
ijassa-1300	140	6	approximated	approximate	VERB
ijassa-1300	140	7	as	as	ADP
ijassa-1300	140	8	a	a	DET
ijassa-1300	140	9	fraction	fraction	NOUN
ijassa-1300	140	10	:	:	PUNCT
ijassa-1300	140	11	pa	pa	PROPN
ijassa-1300	140	12	of	of	ADP
ijassa-1300	140	13	the	the	PRON
ijassa-1300	140	14	n	n	PRON
ijassa-1300	140	15	nests	nest	NOUN
ijassa-1300	140	16	replaced	replace	VERB
ijassa-1300	140	17	with	with	ADP
ijassa-1300	140	18	new	new	ADJ
ijassa-1300	140	19	nests	nest	NOUN
ijassa-1300	140	20	with	with	ADP
ijassa-1300	140	21	new	new	ADJ
ijassa-1300	140	22	random	random	ADJ
ijassa-1300	140	23	solutions	solution	NOUN
ijassa-1300	140	24	at	at	ADP
ijassa-1300	140	25	different	different	ADJ
ijassa-1300	140	26	locations	location	NOUN
ijassa-1300	140	27	.	.	PUNCT
ijassa-1300	141	1	the	the	DET
ijassa-1300	141	2	lévy	lévy	ADJ
ijassa-1300	141	3	flight	flight	NOUN
ijassa-1300	141	4	behavior	behavior	NOUN
ijassa-1300	141	5	,	,	PUNCT
ijassa-1300	141	6	rather	rather	ADV
ijassa-1300	141	7	than	than	ADP
ijassa-1300	141	8	a	a	DET
ijassa-1300	141	9	simple	simple	ADJ
ijassa-1300	141	10	random	random	ADJ
ijassa-1300	141	11	walk	walk	NOUN
ijassa-1300	141	12	behavior	behavior	NOUN
ijassa-1300	141	13	,	,	PUNCT
ijassa-1300	141	14	can	can	AUX
ijassa-1300	141	15	be	be	AUX
ijassa-1300	141	16	used	use	VERB
ijassa-1300	141	17	to	to	PART
ijassa-1300	141	18	enhance	enhance	VERB
ijassa-1300	141	19	the	the	DET
ijassa-1300	141	20	performance	performance	NOUN
ijassa-1300	141	21	of	of	ADP
ijassa-1300	141	22	cs	cs	PROPN
ijassa-1300	142	1	[	[	X
ijassa-1300	142	2	20	20	NUM
ijassa-1300	142	3	]	]	PUNCT
ijassa-1300	142	4	.	.	PUNCT
ijassa-1300	143	1	the	the	DET
ijassa-1300	143	2	following	follow	VERB
ijassa-1300	143	3	formula	formula	NOUN
ijassa-1300	143	4	can	can	AUX
ijassa-1300	143	5	describe	describe	VERB
ijassa-1300	143	6	the	the	DET
ijassa-1300	143	7	lévy	lévy	ADJ
ijassa-1300	143	8	flight	flight	NOUN
ijassa-1300	143	9	behavior	behavior	NOUN
ijassa-1300	143	10	when	when	SCONJ
ijassa-1300	143	11	generating	generate	VERB
ijassa-1300	143	12	new	new	ADJ
ijassa-1300	143	13	solutions	solution	NOUN
ijassa-1300	143	14	𝑥	𝑥	X
ijassa-1300	143	15	(	(	PUNCT
ijassa-1300	143	16	𝑡	𝑡	X
ijassa-1300	143	17	+	+	NOUN
ijassa-1300	143	18	1	1	NUM
ijassa-1300	143	19	)	)	PUNCT
ijassa-1300	143	20	for	for	ADP
ijassa-1300	143	21	the	the	DET
ijassa-1300	143	22	𝑖	𝑖	DET
ijassa-1300	143	23	cuckoo	cuckoo	NOUN
ijassa-1300	143	24	[	[	X
ijassa-1300	143	25	14	14	NUM
ijassa-1300	143	26	]	]	X
ijassa-1300	143	27	:	:	PUNCT
ijassa-1300	143	28	𝑥	𝑥	X
ijassa-1300	143	29	(	(	PUNCT
ijassa-1300	143	30	𝑡	𝑡	X
ijassa-1300	143	31	+	+	NOUN
ijassa-1300	143	32	1	1	NUM
ijassa-1300	143	33	)	)	PUNCT
ijassa-1300	143	34	=	=	SYM
ijassa-1300	143	35	𝑥	𝑥	PROPN
ijassa-1300	143	36	(	(	PUNCT
ijassa-1300	143	37	𝑡	𝑡	NOUN
ijassa-1300	143	38	)	)	PUNCT
ijassa-1300	143	39	+	+	NUM
ijassa-1300	143	40			NUM
ijassa-1300	143	41	⊙	⊙	VERB
ijassa-1300	143	42	𝐿𝑒	𝐿𝑒	PROPN
ijassa-1300	143	43	𝑣𝑦(	𝑣𝑦(	NUM
ijassa-1300	143	44	)	)	PUNCT
ijassa-1300	143	45	(	(	PUNCT
ijassa-1300	143	46	3.4	3.4	NUM
ijassa-1300	143	47	)	)	PUNCT
ijassa-1300	143	48	where	where	SCONJ
ijassa-1300	143	49			NOUN
ijassa-1300	143	50			X
ijassa-1300	143	51	0	0	NUM
ijassa-1300	143	52	is	be	AUX
ijassa-1300	143	53	the	the	DET
ijassa-1300	143	54	final	final	ADJ
ijassa-1300	143	55	size	size	NOUN
ijassa-1300	143	56	that	that	PRON
ijassa-1300	143	57	should	should	AUX
ijassa-1300	143	58	be	be	AUX
ijassa-1300	143	59	related	relate	VERB
ijassa-1300	143	60	to	to	ADP
ijassa-1300	143	61	the	the	DET
ijassa-1300	143	62	problem	problem	NOUN
ijassa-1300	143	63	of	of	ADP
ijassa-1300	143	64	interest	interest	NOUN
ijassa-1300	143	65	scale	scale	NOUN
ijassa-1300	143	66	,	,	PUNCT
ijassa-1300	143	67			X
ijassa-1300	143	68	is	be	AUX
ijassa-1300	143	69	the	the	DET
ijassa-1300	143	70	step	step	NOUN
ijassa-1300	143	71	-	-	PUNCT
ijassa-1300	143	72	length	length	NOUN
ijassa-1300	143	73	,	,	PUNCT
ijassa-1300	143	74	and	and	CCONJ
ijassa-1300	143	75	the	the	DET
ijassa-1300	143	76	product	product	NOUN
ijassa-1300	143	77	⊙	⊙	PROPN
ijassa-1300	143	78	refers	refer	VERB
ijassa-1300	143	79	to	to	ADP
ijassa-1300	143	80	an	an	DET
ijassa-1300	143	81	entry	entry	NOUN
ijassa-1300	143	82	-	-	PUNCT
ijassa-1300	143	83	wise	wise	ADJ
ijassa-1300	143	84	multiplication	multiplication	NOUN
ijassa-1300	143	85	(	(	PUNCT
ijassa-1300	143	86	hadamard	hadamard	VERB
ijassa-1300	143	87	product)[9	product)[9	ADV
ijassa-1300	143	88	]	]	PUNCT
ijassa-1300	143	89	.	.	PUNCT
ijassa-1300	144	1	the	the	DET
ijassa-1300	144	2	formula	formula	NOUN
ijassa-1300	144	3	that	that	PRON
ijassa-1300	144	4	describes	describe	VERB
ijassa-1300	144	5	the	the	DET
ijassa-1300	144	6	lévy	lévy	ADJ
ijassa-1300	144	7	flight	flight	NOUN
ijassa-1300	144	8	behavior	behavior	NOUN
ijassa-1300	144	9	in	in	ADP
ijassa-1300	144	10	which	which	PRON
ijassa-1300	144	11	the	the	DET
ijassa-1300	144	12	step	step	NOUN
ijassa-1300	144	13	lengths	length	NOUN
ijassa-1300	144	14	fit	fit	VERB
ijassa-1300	144	15	a	a	DET
ijassa-1300	144	16	probability	probability	NOUN
ijassa-1300	144	17	distribution	distribution	NOUN
ijassa-1300	144	18	is	be	AUX
ijassa-1300	144	19	as	as	SCONJ
ijassa-1300	144	20	follows	follow	VERB
ijassa-1300	144	21	:	:	PUNCT
ijassa-1300	144	22	𝑙é𝑣𝑦()	𝑙é𝑣𝑦()	VERB
ijassa-1300	144	23	𝑡	𝑡	X
ijassa-1300	144	24	.	.	X
ijassa-1300	144	25	(	(	PUNCT
ijassa-1300	144	26	3.5	3.5	NUM
ijassa-1300	144	27	)	)	PUNCT
ijassa-1300	144	28	169	169	NUM
ijassa-1300	144	29	semantic	semantic	ADJ
ijassa-1300	144	30	image	image	NOUN
ijassa-1300	144	31	segmentation	segmentation	NOUN
ijassa-1300	144	32	using	use	VERB
ijassa-1300	144	33	a	a	DET
ijassa-1300	144	34	hybrid	hybrid	NOUN
ijassa-1300	144	35	…	…	PUNCT
ijassa-1300	144	36	copyright	copyright	NOUN
ijassa-1300	144	37	©	©	PROPN
ijassa-1300	144	38	2023	2023	NUM
ijassa-1300	144	39	assa	assa	NOUN
ijassa-1300	144	40	.	.	PUNCT
ijassa-1300	145	1	adv	adv	PROPN
ijassa-1300	145	2	.	.	PUNCT
ijassa-1300	146	1	in	in	ADP
ijassa-1300	146	2	systems	system	NOUN
ijassa-1300	146	3	science	science	NOUN
ijassa-1300	146	4	and	and	CCONJ
ijassa-1300	146	5	appl	appl	NOUN
ijassa-1300	146	6	.	.	PUNCT
ijassa-1300	147	1	(	(	PUNCT
ijassa-1300	147	2	2023	2023	NUM
ijassa-1300	147	3	)	)	PUNCT
ijassa-1300	147	4	the	the	DET
ijassa-1300	147	5	preceding	precede	VERB
ijassa-1300	147	6	formula	formula	NOUN
ijassa-1300	147	7	indicates	indicate	VERB
ijassa-1300	147	8	that	that	SCONJ
ijassa-1300	147	9	cuckoo	cuckoo	NOUN
ijassa-1300	147	10	birds	bird	NOUN
ijassa-1300	147	11	’	'	PUNCT
ijassa-1300	147	12	consecutive	consecutive	ADJ
ijassa-1300	147	13	jumps	jump	NOUN
ijassa-1300	147	14	or	or	CCONJ
ijassa-1300	147	15	steps	step	NOUN
ijassa-1300	147	16	mainly	mainly	ADV
ijassa-1300	147	17	form	form	VERB
ijassa-1300	147	18	a	a	DET
ijassa-1300	147	19	random	random	ADJ
ijassa-1300	147	20	walking	walking	NOUN
ijassa-1300	147	21	process	process	NOUN
ijassa-1300	147	22	that	that	PRON
ijassa-1300	147	23	corresponds	correspond	VERB
ijassa-1300	147	24	to	to	ADP
ijassa-1300	147	25	a	a	DET
ijassa-1300	147	26	power	power	NOUN
ijassa-1300	147	27	-	-	PUNCT
ijassa-1300	147	28	law	law	NOUN
ijassa-1300	147	29	step	step	NOUN
ijassa-1300	147	30	-	-	PUNCT
ijassa-1300	147	31	length	length	NOUN
ijassa-1300	147	32	distribution	distribution	NOUN
ijassa-1300	147	33	with	with	ADP
ijassa-1300	147	34	a	a	DET
ijassa-1300	147	35	heavy	heavy	ADJ
ijassa-1300	147	36	tail	tail	NOUN
ijassa-1300	147	37	.	.	PUNCT
ijassa-1300	148	1	figure	figure	NOUN
ijassa-1300	148	2	3.2	3.2	NUM
ijassa-1300	148	3	shows	show	VERB
ijassa-1300	148	4	the	the	DET
ijassa-1300	148	5	pseudocode	pseudocode	NOUN
ijassa-1300	148	6	of	of	ADP
ijassa-1300	148	7	ga	ga	PROPN
ijassa-1300	148	8	for	for	ADP
ijassa-1300	148	9	image	image	NOUN
ijassa-1300	148	10	segmentation	segmentation	NOUN
ijassa-1300	148	11	[	[	X
ijassa-1300	148	12	13	13	NUM
ijassa-1300	148	13	]	]	PUNCT
ijassa-1300	148	14	.	.	PUNCT
ijassa-1300	149	1	fig	fig	NOUN
ijassa-1300	149	2	.	.	PUNCT
ijassa-1300	150	1	3.2	3.2	NUM
ijassa-1300	150	2	.	.	PUNCT
ijassa-1300	151	1	cs	cs	PROPN
ijassa-1300	151	2	pseudocode	pseudocode	PROPN
ijassa-1300	151	3	for	for	ADP
ijassa-1300	151	4	image	image	NOUN
ijassa-1300	151	5	segmentation	segmentation	NOUN
ijassa-1300	151	6	3.2.genetic	3.2.genetic	PROPN
ijassa-1300	151	7	algorithm	algorithm	NOUN
ijassa-1300	151	8	artificial	artificial	ADJ
ijassa-1300	151	9	intelligence	intelligence	NOUN
ijassa-1300	151	10	research	research	NOUN
ijassa-1300	151	11	within	within	ADP
ijassa-1300	151	12	the	the	DET
ijassa-1300	151	13	computer	computer	NOUN
ijassa-1300	151	14	science	science	NOUN
ijassa-1300	151	15	field	field	NOUN
ijassa-1300	151	16	produced	produce	VERB
ijassa-1300	151	17	ga	ga	PROPN
ijassa-1300	151	18	,	,	PUNCT
ijassa-1300	151	19	which	which	PRON
ijassa-1300	151	20	is	be	AUX
ijassa-1300	151	21	a	a	DET
ijassa-1300	151	22	heuristic	heuristic	ADJ
ijassa-1300	151	23	search	search	NOUN
ijassa-1300	151	24	tool	tool	NOUN
ijassa-1300	151	25	designed	design	VERB
ijassa-1300	151	26	to	to	PART
ijassa-1300	151	27	mimic	mimic	VERB
ijassa-1300	151	28	the	the	DET
ijassa-1300	151	29	natural	natural	ADJ
ijassa-1300	151	30	process	process	NOUN
ijassa-1300	151	31	of	of	ADP
ijassa-1300	151	32	evolution	evolution	NOUN
ijassa-1300	151	33	.	.	PUNCT
ijassa-1300	152	1	this	this	DET
ijassa-1300	152	2	heuristic	heuristic	NOUN
ijassa-1300	152	3	(	(	PUNCT
ijassa-1300	152	4	or	or	CCONJ
ijassa-1300	152	5	metaheuristic	metaheuristic	ADJ
ijassa-1300	152	6	)	)	PUNCT
ijassa-1300	152	7	is	be	AUX
ijassa-1300	152	8	commonly	commonly	ADV
ijassa-1300	152	9	used	use	VERB
ijassa-1300	152	10	to	to	PART
ijassa-1300	152	11	generate	generate	VERB
ijassa-1300	152	12	beneficial	beneficial	ADJ
ijassa-1300	152	13	solutions	solution	NOUN
ijassa-1300	152	14	for	for	ADP
ijassa-1300	152	15	optimization	optimization	NOUN
ijassa-1300	152	16	and	and	CCONJ
ijassa-1300	152	17	search	search	NOUN
ijassa-1300	152	18	problems	problem	NOUN
ijassa-1300	152	19	and	and	CCONJ
ijassa-1300	152	20	often	often	ADV
ijassa-1300	152	21	employs	employ	VERB
ijassa-1300	152	22	the	the	DET
ijassa-1300	152	23	natural	natural	ADJ
ijassa-1300	152	24	techniques	technique	NOUN
ijassa-1300	152	25	of	of	ADP
ijassa-1300	152	26	evolution	evolution	NOUN
ijassa-1300	152	27	,	,	PUNCT
ijassa-1300	152	28	such	such	ADJ
ijassa-1300	152	29	as	as	ADP
ijassa-1300	152	30	inheritance	inheritance	NOUN
ijassa-1300	152	31	,	,	PUNCT
ijassa-1300	152	32	mutation	mutation	NOUN
ijassa-1300	152	33	,	,	PUNCT
ijassa-1300	152	34	selection	selection	NOUN
ijassa-1300	152	35	,	,	PUNCT
ijassa-1300	152	36	and	and	CCONJ
ijassa-1300	152	37	crossover	crossover	NOUN
ijassa-1300	152	38	.	.	PUNCT
ijassa-1300	153	1	holland	holland	PROPN
ijassa-1300	154	1	[	[	X
ijassa-1300	154	2	6	6	NUM
ijassa-1300	154	3	]	]	PUNCT
ijassa-1300	154	4	developed	develop	VERB
ijassa-1300	154	5	the	the	DET
ijassa-1300	154	6	formal	formal	ADJ
ijassa-1300	154	7	theory	theory	NOUN
ijassa-1300	154	8	of	of	ADP
ijassa-1300	154	9	ga	ga	PROPN
ijassa-1300	154	10	in	in	ADP
ijassa-1300	154	11	the	the	DET
ijassa-1300	154	12	1970s	1970	NOUN
ijassa-1300	154	13	and	and	CCONJ
ijassa-1300	154	14	continued	continued	ADJ
ijassa-1300	154	15	enhancements	enhancement	NOUN
ijassa-1300	154	16	in	in	ADP
ijassa-1300	154	17	the	the	DET
ijassa-1300	154	18	price	price	NOUN
ijassa-1300	154	19	and	and	CCONJ
ijassa-1300	154	20	performance	performance	NOUN
ijassa-1300	154	21	value	value	NOUN
ijassa-1300	154	22	have	have	AUX
ijassa-1300	154	23	made	make	VERB
ijassa-1300	154	24	ga	ga	PROPN
ijassa-1300	154	25	ideal	ideal	NOUN
ijassa-1300	154	26	for	for	ADP
ijassa-1300	154	27	many	many	ADJ
ijassa-1300	154	28	problem	problem	NOUN
ijassa-1300	154	29	-	-	PUNCT
ijassa-1300	154	30	solving	solve	VERB
ijassa-1300	154	31	optimization	optimization	NOUN
ijassa-1300	154	32	methods	method	NOUN
ijassa-1300	154	33	.	.	PUNCT
ijassa-1300	155	1	ga	ga	PROPN
ijassa-1300	155	2	has	have	AUX
ijassa-1300	155	3	been	be	AUX
ijassa-1300	155	4	shown	show	VERB
ijassa-1300	155	5	to	to	PART
ijassa-1300	155	6	perform	perform	VERB
ijassa-1300	155	7	well	well	ADV
ijassa-1300	155	8	in	in	ADP
ijassa-1300	155	9	mixed	mixed	ADJ
ijassa-1300	155	10	(	(	PUNCT
ijassa-1300	155	11	i.e.	i.e.	X
ijassa-1300	155	12	,	,	PUNCT
ijassa-1300	155	13	continuous	continuous	ADJ
ijassa-1300	155	14	and	and	CCONJ
ijassa-1300	155	15	discrete	discrete	ADJ
ijassa-1300	155	16	)	)	PUNCT
ijassa-1300	155	17	combinatorial	combinatorial	ADJ
ijassa-1300	155	18	problems	problem	NOUN
ijassa-1300	155	19	.	.	PUNCT
ijassa-1300	156	1	although	although	SCONJ
ijassa-1300	156	2	ga	ga	PROPN
ijassa-1300	156	3	easily	easily	ADV
ijassa-1300	156	4	become	become	VERB
ijassa-1300	156	5	trapped	trapped	ADJ
ijassa-1300	156	6	in	in	ADP
ijassa-1300	156	7	the	the	DET
ijassa-1300	156	8	local	local	ADJ
ijassa-1300	156	9	optima	optima	NOUN
ijassa-1300	156	10	,	,	PUNCT
ijassa-1300	156	11	this	this	DET
ijassa-1300	156	12	algorithm	algorithm	NOUN
ijassa-1300	156	13	is	be	AUX
ijassa-1300	156	14	computationally	computationally	ADV
ijassa-1300	156	15	expensive	expensive	ADJ
ijassa-1300	156	16	and	and	CCONJ
ijassa-1300	156	17	a	a	DET
ijassa-1300	156	18	probabilistic	probabilistic	ADJ
ijassa-1300	156	19	one	one	NUM
ijassa-1300	156	20	.	.	PUNCT
ijassa-1300	157	1	ga	ga	PROPN
ijassa-1300	157	2	begins	begin	VERB
ijassa-1300	157	3	with	with	ADP
ijassa-1300	157	4	a	a	DET
ijassa-1300	157	5	set	set	NOUN
ijassa-1300	157	6	of	of	ADP
ijassa-1300	157	7	solutions	solution	NOUN
ijassa-1300	157	8	represented	represent	VERB
ijassa-1300	157	9	by	by	ADP
ijassa-1300	157	10	a	a	DET
ijassa-1300	157	11	group	group	NOUN
ijassa-1300	157	12	of	of	ADP
ijassa-1300	157	13	chromosomes	chromosome	NOUN
ijassa-1300	157	14	called	call	VERB
ijassa-1300	157	15	population	population	NOUN
ijassa-1300	157	16	.	.	PUNCT
ijassa-1300	158	1	a	a	DET
ijassa-1300	158	2	new	new	ADJ
ijassa-1300	158	3	population	population	NOUN
ijassa-1300	158	4	can	can	AUX
ijassa-1300	158	5	be	be	AUX
ijassa-1300	158	6	generated	generate	VERB
ijassa-1300	158	7	by	by	ADP
ijassa-1300	158	8	borrowing	borrow	VERB
ijassa-1300	158	9	solutions	solution	NOUN
ijassa-1300	158	10	from	from	ADP
ijassa-1300	158	11	a	a	DET
ijassa-1300	158	12	current	current	ADJ
ijassa-1300	158	13	population	population	NOUN
ijassa-1300	158	14	or	or	CCONJ
ijassa-1300	158	15	by	by	ADP
ijassa-1300	158	16	applying	apply	VERB
ijassa-1300	158	17	genetic	genetic	ADJ
ijassa-1300	158	18	operators	operator	NOUN
ijassa-1300	158	19	,	,	PUNCT
ijassa-1300	158	20	such	such	ADJ
ijassa-1300	158	21	as	as	ADP
ijassa-1300	158	22	selection	selection	NOUN
ijassa-1300	158	23	,	,	PUNCT
ijassa-1300	158	24	crossover	crossover	NOUN
ijassa-1300	158	25	,	,	PUNCT
ijassa-1300	158	26	and	and	CCONJ
ijassa-1300	158	27	mutation	mutation	NOUN
ijassa-1300	158	28	to	to	ADP
ijassa-1300	158	29	the	the	DET
ijassa-1300	158	30	current	current	ADJ
ijassa-1300	158	31	population	population	NOUN
ijassa-1300	158	32	.	.	PUNCT
ijassa-1300	159	1	the	the	DET
ijassa-1300	159	2	new	new	ADJ
ijassa-1300	159	3	population	population	NOUN
ijassa-1300	159	4	must	must	AUX
ijassa-1300	159	5	be	be	AUX
ijassa-1300	159	6	better	well	ADJ
ijassa-1300	159	7	than	than	ADP
ijassa-1300	159	8	the	the	DET
ijassa-1300	159	9	old	old	ADJ
ijassa-1300	159	10	one	one	NOUN
ijassa-1300	159	11	[	[	X
ijassa-1300	159	12	23	23	NUM
ijassa-1300	159	13	]	]	PUNCT
ijassa-1300	159	14	.	.	PUNCT
ijassa-1300	160	1	the	the	DET
ijassa-1300	160	2	function	function	NOUN
ijassa-1300	160	3	of	of	ADP
ijassa-1300	160	4	genetic	genetic	ADJ
ijassa-1300	160	5	operators	operator	NOUN
ijassa-1300	160	6	warrants	warrant	NOUN
ijassa-1300	160	7	considerably	considerably	ADV
ijassa-1300	160	8	detailed	detail	VERB
ijassa-1300	160	9	attention	attention	NOUN
ijassa-1300	160	10	.	.	PUNCT
ijassa-1300	161	1	the	the	DET
ijassa-1300	161	2	selection	selection	NOUN
ijassa-1300	161	3	operator	operator	NOUN
ijassa-1300	161	4	selects	select	VERB
ijassa-1300	161	5	two	two	NUM
ijassa-1300	161	6	parent	parent	NOUN
ijassa-1300	161	7	chromosomes	chromosome	NOUN
ijassa-1300	161	8	from	from	ADP
ijassa-1300	161	9	the	the	DET
ijassa-1300	161	10	population	population	NOUN
ijassa-1300	161	11	based	base	VERB
ijassa-1300	161	12	on	on	ADP
ijassa-1300	161	13	their	their	PRON
ijassa-1300	161	14	fitness	fitness	NOUN
ijassa-1300	161	15	to	to	PART
ijassa-1300	161	16	participate	participate	VERB
ijassa-1300	161	17	in	in	ADP
ijassa-1300	161	18	the	the	DET
ijassa-1300	161	19	next	next	ADJ
ijassa-1300	161	20	operations	operation	NOUN
ijassa-1300	161	21	,	,	PUNCT
ijassa-1300	161	22	crossover	crossover	NOUN
ijassa-1300	161	23	,	,	PUNCT
ijassa-1300	161	24	and	and	CCONJ
ijassa-1300	161	25	mutation	mutation	NOUN
ijassa-1300	161	26	.	.	PUNCT
ijassa-1300	162	1	these	these	DET
ijassa-1300	162	2	steps	step	NOUN
ijassa-1300	162	3	are	be	AUX
ijassa-1300	162	4	considered	consider	VERB
ijassa-1300	162	5	important	important	ADJ
ijassa-1300	162	6	in	in	ADP
ijassa-1300	162	7	ga	ga	PROPN
ijassa-1300	162	8	because	because	SCONJ
ijassa-1300	162	9	they	they	PRON
ijassa-1300	162	10	have	have	VERB
ijassa-1300	162	11	a	a	DET
ijassa-1300	162	12	positive	positive	ADJ
ijassa-1300	162	13	impact	impact	NOUN
ijassa-1300	162	14	on	on	ADP
ijassa-1300	162	15	the	the	DET
ijassa-1300	162	16	overall	overall	ADJ
ijassa-1300	162	17	performance	performance	NOUN
ijassa-1300	162	18	[	[	X
ijassa-1300	162	19	17	17	NUM
ijassa-1300	162	20	]	]	PUNCT
ijassa-1300	162	21	.	.	PUNCT
ijassa-1300	163	1	first	first	ADV
ijassa-1300	163	2	,	,	PUNCT
ijassa-1300	163	3	parents	parent	NOUN
ijassa-1300	163	4	form	form	VERB
ijassa-1300	163	5	new	new	ADJ
ijassa-1300	163	6	offspring	offspring	NOUN
ijassa-1300	163	7	(	(	PUNCT
ijassa-1300	163	8	i.e.	i.e.	X
ijassa-1300	163	9	,	,	PUNCT
ijassa-1300	163	10	children	child	NOUN
ijassa-1300	163	11	)	)	PUNCT
ijassa-1300	163	12	through	through	ADP
ijassa-1300	163	13	crossover	crossover	NOUN
ijassa-1300	163	14	probability	probability	NOUN
ijassa-1300	163	15	.	.	PUNCT
ijassa-1300	164	1	thereafter	thereafter	ADV
ijassa-1300	164	2	,	,	PUNCT
ijassa-1300	164	3	the	the	DET
ijassa-1300	164	4	mutation	mutation	NOUN
ijassa-1300	164	5	operator	operator	NOUN
ijassa-1300	164	6	randomly	randomly	ADV
ijassa-1300	164	7	exchanges	exchange	NOUN
ijassa-1300	164	8	alleles	allele	NOUN
ijassa-1300	164	9	,	,	PUNCT
ijassa-1300	164	10	which	which	PRON
ijassa-1300	164	11	is	be	AUX
ijassa-1300	164	12	similar	similar	ADJ
ijassa-1300	164	13	to	to	ADP
ijassa-1300	164	14	what	what	PRON
ijassa-1300	164	15	occurs	occur	VERB
ijassa-1300	164	16	in	in	ADP
ijassa-1300	164	17	nature	nature	NOUN
ijassa-1300	164	18	.	.	PUNCT
ijassa-1300	165	1	to	to	PART
ijassa-1300	165	2	work	work	VERB
ijassa-1300	165	3	well	well	ADV
ijassa-1300	165	4	,	,	PUNCT
ijassa-1300	165	5	ga	ga	PROPN
ijassa-1300	165	6	requires	require	VERB
ijassa-1300	165	7	the	the	DET
ijassa-1300	165	8	definition	definition	NOUN
ijassa-1300	165	9	of	of	ADP
ijassa-1300	165	10	three	three	NUM
ijassa-1300	165	11	important	important	ADJ
ijassa-1300	165	12	aspects	aspect	NOUN
ijassa-1300	165	13	[	[	X
ijassa-1300	165	14	6	6	NUM
ijassa-1300	165	15	]	]	SYM
ijassa-1300	165	16	:	:	PUNCT
ijassa-1300	165	17	1	1	X
ijassa-1300	165	18	)	)	PUNCT
ijassa-1300	165	19	objective	objective	ADJ
ijassa-1300	165	20	function	function	NOUN
ijassa-1300	165	21	,	,	PUNCT
ijassa-1300	165	22	2	2	X
ijassa-1300	165	23	)	)	PUNCT
ijassa-1300	165	24	genetic	genetic	ADJ
ijassa-1300	165	25	representation	representation	NOUN
ijassa-1300	165	26	and	and	CCONJ
ijassa-1300	165	27	its	its	PRON
ijassa-1300	165	28	implementation	implementation	NOUN
ijassa-1300	165	29	,	,	PUNCT
ijassa-1300	165	30	and	and	CCONJ
ijassa-1300	165	31	3	3	X
ijassa-1300	165	32	)	)	PUNCT
ijassa-1300	165	33	genetic	genetic	ADJ
ijassa-1300	165	34	operators	operator	NOUN
ijassa-1300	165	35	and	and	CCONJ
ijassa-1300	165	36	their	their	PRON
ijassa-1300	165	37	implementation	implementation	NOUN
ijassa-1300	165	38	.	.	PUNCT
ijassa-1300	166	1	figure	figure	VERB
ijassa-1300	166	2	3.3	3.3	NUM
ijassa-1300	166	3	shows	show	VERB
ijassa-1300	166	4	the	the	DET
ijassa-1300	166	5	pseudocode	pseudocode	NOUN
ijassa-1300	166	6	of	of	ADP
ijassa-1300	166	7	ga	ga	PROPN
ijassa-1300	166	8	for	for	ADP
ijassa-1300	166	9	image	image	NOUN
ijassa-1300	166	10	segmentation	segmentation	NOUN
ijassa-1300	166	11	[	[	X
ijassa-1300	166	12	13	13	NUM
ijassa-1300	166	13	]	]	PUNCT
ijassa-1300	166	14	.	.	PUNCT
ijassa-1300	167	1	input∶	input∶	VERB
ijassa-1300	167	2	original	original	ADJ
ijassa-1300	167	3	image	image	NOUN
ijassa-1300	167	4	=	=	NOUN
ijassa-1300	167	5	i	i	PROPN
ijassa-1300	167	6	,	,	PUNCT
ijassa-1300	167	7	𝐁𝐞𝐠𝐢𝐧	𝐁𝐞𝐠𝐢𝐧	PROPN
ijassa-1300	167	8	:	:	PUNCT
ijassa-1300	167	9	generate	generate	VERB
ijassa-1300	167	10	initial	initial	ADJ
ijassa-1300	167	11	solutions	solution	NOUN
ijassa-1300	167	12	while	while	SCONJ
ijassa-1300	167	13	(	(	PUNCT
ijassa-1300	167	14	t	t	PROPN
ijassa-1300	167	15	<	<	X
ijassa-1300	167	16	max_generation	max_generation	NOUN
ijassa-1300	167	17	)	)	PUNCT
ijassa-1300	167	18	{	{	PUNCT
ijassa-1300	167	19	generate	generate	VERB
ijassa-1300	167	20	a	a	DET
ijassa-1300	167	21	cuckoo	cuckoo	NOUN
ijassa-1300	167	22	(	(	PUNCT
ijassa-1300	167	23	i	i	NOUN
ijassa-1300	167	24	)	)	PUNCT
ijassa-1300	167	25	randomly	randomly	ADV
ijassa-1300	167	26	via	via	ADP
ijassa-1300	167	27	levy	levy	NOUN
ijassa-1300	167	28	flights	flight	NOUN
ijassa-1300	167	29	;	;	PUNCT
ijassa-1300	167	30	segment	segment	VERB
ijassa-1300	167	31	the	the	DET
ijassa-1300	167	32	original	original	ADJ
ijassa-1300	167	33	input	input	NOUN
ijassa-1300	167	34	image	image	NOUN
ijassa-1300	167	35	using	use	VERB
ijassa-1300	167	36	the	the	DET
ijassa-1300	167	37	generated	generate	VERB
ijassa-1300	167	38	cuckoo	cuckoo	NOUN
ijassa-1300	167	39	and	and	CCONJ
ijassa-1300	167	40	evaluate	evaluate	VERB
ijassa-1300	167	41	its	its	PRON
ijassa-1300	167	42	fitness	fitness	NOUN
ijassa-1300	167	43	fi	fi	NOUN
ijassa-1300	167	44	;	;	PUNCT
ijassa-1300	167	45	choose	choose	VERB
ijassa-1300	167	46	a	a	DET
ijassa-1300	167	47	nest	nest	NOUN
ijassa-1300	167	48	among	among	ADP
ijassa-1300	167	49	the	the	DET
ijassa-1300	167	50	host	host	NOUN
ijassa-1300	167	51	randomly	randomly	ADV
ijassa-1300	167	52	(	(	PUNCT
ijassa-1300	167	53	j	j	NOUN
ijassa-1300	167	54	)	)	PUNCT
ijassa-1300	167	55	;	;	PUNCT
ijassa-1300	167	56	segment	segment	VERB
ijassa-1300	167	57	the	the	DET
ijassa-1300	167	58	original	original	ADJ
ijassa-1300	167	59	input	input	NOUN
ijassa-1300	167	60	image	image	NOUN
ijassa-1300	167	61	and	and	CCONJ
ijassa-1300	167	62	evaluate	evaluate	VERB
ijassa-1300	167	63	its	its	PRON
ijassa-1300	167	64	fitness	fitness	NOUN
ijassa-1300	167	65	fj	fj	PROPN
ijassa-1300	167	66	;	;	PUNCT
ijassa-1300	167	67	rank	rank	VERB
ijassa-1300	167	68	the	the	DET
ijassa-1300	167	69	segmented	segment	VERB
ijassa-1300	167	70	output	output	NOUN
ijassa-1300	167	71	based	base	VERB
ijassa-1300	167	72	on	on	ADP
ijassa-1300	167	73	the	the	DET
ijassa-1300	167	74	fitness	fitness	NOUN
ijassa-1300	167	75	and	and	CCONJ
ijassa-1300	167	76	find	find	VERB
ijassa-1300	167	77	the	the	DET
ijassa-1300	167	78	current	current	ADJ
ijassa-1300	167	79	best	best	NOUN
ijassa-1300	167	80	;	;	PUNCT
ijassa-1300	167	81	if	if	SCONJ
ijassa-1300	167	82	(	(	PUNCT
ijassa-1300	167	83	fi	fi	NOUN
ijassa-1300	167	84	>	>	X
ijassa-1300	167	85	fj	fj	PROPN
ijassa-1300	167	86	)	)	PUNCT
ijassa-1300	167	87	{	{	PUNCT
ijassa-1300	167	88	replace	replace	VERB
ijassa-1300	167	89	host	host	NOUN
ijassa-1300	167	90	by	by	ADP
ijassa-1300	167	91	the	the	DET
ijassa-1300	167	92	new	new	ADJ
ijassa-1300	167	93	cuckoo	cuckoo	NOUN
ijassa-1300	167	94	solution	solution	NOUN
ijassa-1300	167	95	;	;	PUNCT
ijassa-1300	167	96	}	}	PUNCT
ijassa-1300	167	97	abandon	abandon	VERB
ijassa-1300	167	98	a	a	DET
ijassa-1300	167	99	fraction	fraction	NOUN
ijassa-1300	167	100	(	(	PUNCT
ijassa-1300	167	101	pa	pa	NOUN
ijassa-1300	167	102	)	)	PUNCT
ijassa-1300	167	103	of	of	ADP
ijassa-1300	167	104	worse	bad	ADJ
ijassa-1300	167	105	nests	nest	NOUN
ijassa-1300	167	106	[	[	X
ijassa-1300	167	107	new	new	ADJ
ijassa-1300	167	108	build	build	VERB
ijassa-1300	167	109	new	new	ADJ
ijassa-1300	167	110	nest	nest	NOUN
ijassa-1300	167	111	at	at	ADP
ijassa-1300	167	112	new	new	ADJ
ijassa-1300	167	113	location	location	NOUN
ijassa-1300	167	114	via	via	ADP
ijassa-1300	167	115	levy	levy	NOUN
ijassa-1300	167	116	flights	flight	NOUN
ijassa-1300	167	117	]	]	PUNCT
ijassa-1300	167	118	;	;	PUNCT
ijassa-1300	167	119	keep	keep	VERB
ijassa-1300	167	120	the	the	DET
ijassa-1300	167	121	nest	nest	NOUN
ijassa-1300	167	122	with	with	ADP
ijassa-1300	167	123	high	high	ADJ
ijassa-1300	167	124	quality	quality	NOUN
ijassa-1300	167	125	solution	solution	NOUN
ijassa-1300	167	126	;	;	PUNCT
ijassa-1300	167	127	rank	rank	VERB
ijassa-1300	167	128	the	the	DET
ijassa-1300	167	129	results	result	NOUN
ijassa-1300	167	130	and	and	CCONJ
ijassa-1300	167	131	find	find	VERB
ijassa-1300	167	132	the	the	DET
ijassa-1300	167	133	current	current	ADJ
ijassa-1300	167	134	best	good	ADJ
ijassa-1300	167	135	;	;	PUNCT
ijassa-1300	167	136	}	}	PUNCT
ijassa-1300	167	137	end	end	VERB
ijassa-1300	167	138	170	170	NUM
ijassa-1300	167	139	a.	a.	NOUN
ijassa-1300	167	140	abu	abu	PROPN
ijassa-1300	167	141	srhan	srhan	PROPN
ijassa-1300	167	142	,	,	PUNCT
ijassa-1300	167	143	m.	m.	PROPN
ijassa-1300	167	144	h.	h.	PROPN
ijassa-1300	167	145	qasem	qasem	PROPN
ijassa-1300	167	146	,	,	PUNCT
ijassa-1300	167	147	h.s	h.s	PROPN
ijassa-1300	167	148	.	.	PROPN
ijassa-1300	168	1	natoureah	natoureah	PROPN
ijassa-1300	168	2	,	,	PUNCT
ijassa-1300	168	3	a.	a.	NOUN
ijassa-1300	168	4	shdaifat	shdaifat	PROPN
ijassa-1300	168	5	copyright	copyright	NOUN
ijassa-1300	169	1	©	©	PROPN
ijassa-1300	169	2	2023	2023	NUM
ijassa-1300	169	3	assa	assa	PROPN
ijassa-1300	169	4	adv	adv	PROPN
ijassa-1300	169	5	.	.	PUNCT
ijassa-1300	170	1	in	in	ADP
ijassa-1300	170	2	systems	system	NOUN
ijassa-1300	170	3	science	science	NOUN
ijassa-1300	170	4	and	and	CCONJ
ijassa-1300	170	5	appl	appl	NOUN
ijassa-1300	170	6	.	.	PUNCT
ijassa-1300	171	1	(	(	PUNCT
ijassa-1300	171	2	2023	2023	NUM
ijassa-1300	171	3	)	)	PUNCT
ijassa-1300	171	4	fig	fig	NOUN
ijassa-1300	171	5	.	.	PUNCT
ijassa-1300	172	1	3.3	3.3	NUM
ijassa-1300	172	2	.	.	PUNCT
ijassa-1300	173	1	ga	ga	PROPN
ijassa-1300	173	2	pseudocode	pseudocode	PROPN
ijassa-1300	173	3	for	for	ADP
ijassa-1300	173	4	image	image	NOUN
ijassa-1300	173	5	segmentation	segmentation	NOUN
ijassa-1300	173	6	1.3.csga	1.3.csga	NUM
ijassa-1300	173	7	algorithm	algorithm	NOUN
ijassa-1300	173	8	the	the	DET
ijassa-1300	173	9	proposed	propose	VERB
ijassa-1300	173	10	algorithm	algorithm	NOUN
ijassa-1300	173	11	combines	combine	VERB
ijassa-1300	173	12	the	the	DET
ijassa-1300	173	13	advantages	advantage	NOUN
ijassa-1300	173	14	of	of	ADP
ijassa-1300	173	15	ga	ga	PROPN
ijassa-1300	173	16	and	and	CCONJ
ijassa-1300	173	17	cs	cs	PROPN
ijassa-1300	173	18	and	and	CCONJ
ijassa-1300	173	19	overcomes	overcome	VERB
ijassa-1300	173	20	the	the	DET
ijassa-1300	173	21	main	main	ADJ
ijassa-1300	173	22	disadvantage	disadvantage	NOUN
ijassa-1300	173	23	of	of	ADP
ijassa-1300	173	24	ga	ga	NOUN
ijassa-1300	173	25	of	of	ADP
ijassa-1300	173	26	easily	easily	ADV
ijassa-1300	173	27	becoming	become	VERB
ijassa-1300	173	28	trapped	trap	VERB
ijassa-1300	173	29	in	in	ADP
ijassa-1300	173	30	the	the	DET
ijassa-1300	173	31	local	local	ADJ
ijassa-1300	173	32	minima	minima	NOUN
ijassa-1300	173	33	through	through	ADP
ijassa-1300	173	34	cs	cs	PROPN
ijassa-1300	173	35	,	,	PUNCT
ijassa-1300	173	36	which	which	PRON
ijassa-1300	173	37	performs	perform	VERB
ijassa-1300	173	38	the	the	DET
ijassa-1300	173	39	local	local	ADJ
ijassa-1300	173	40	search	search	NOUN
ijassa-1300	173	41	faster	fast	ADV
ijassa-1300	173	42	than	than	ADP
ijassa-1300	173	43	ga	ga	PROPN
ijassa-1300	173	44	.	.	PUNCT
ijassa-1300	174	1	in	in	ADP
ijassa-1300	174	2	addition	addition	NOUN
ijassa-1300	174	3	,	,	PUNCT
ijassa-1300	174	4	cs	cs	PROPN
ijassa-1300	174	5	has	have	VERB
ijassa-1300	174	6	only	only	ADV
ijassa-1300	174	7	a	a	DET
ijassa-1300	174	8	single	single	ADJ
ijassa-1300	174	9	parameter	parameter	NOUN
ijassa-1300	174	10	,	,	PUNCT
ijassa-1300	174	11	along	along	ADP
ijassa-1300	174	12	with	with	ADP
ijassa-1300	174	13	population	population	NOUN
ijassa-1300	174	14	size	size	NOUN
ijassa-1300	174	15	[	[	X
ijassa-1300	174	16	8	8	NUM
ijassa-1300	174	17	]	]	PUNCT
ijassa-1300	174	18	.	.	PUNCT
ijassa-1300	175	1	csga	csga	PROPN
ijassa-1300	175	2	has	have	VERB
ijassa-1300	175	3	the	the	DET
ijassa-1300	175	4	following	follow	VERB
ijassa-1300	175	5	operations	operation	NOUN
ijassa-1300	175	6	:	:	PUNCT
ijassa-1300	175	7	1	1	X
ijassa-1300	175	8	)	)	PUNCT
ijassa-1300	175	9	search	search	VERB
ijassa-1300	175	10	new	new	ADJ
ijassa-1300	175	11	nest	nest	NOUN
ijassa-1300	175	12	operator	operator	NOUN
ijassa-1300	175	13	,	,	PUNCT
ijassa-1300	175	14	2	2	NUM
ijassa-1300	175	15	)	)	PUNCT
ijassa-1300	175	16	abandon	abandon	NOUN
ijassa-1300	175	17	operator	operator	NOUN
ijassa-1300	175	18	,	,	PUNCT
ijassa-1300	175	19	and	and	CCONJ
ijassa-1300	175	20	3	3	X
ijassa-1300	175	21	)	)	PUNCT
ijassa-1300	175	22	ga	ga	NOUN
ijassa-1300	175	23	operation	operation	NOUN
ijassa-1300	175	24	.	.	PUNCT
ijassa-1300	176	1	csga	csga	PROPN
ijassa-1300	176	2	starts	start	VERB
ijassa-1300	176	3	with	with	ADP
ijassa-1300	176	4	cs	cs	PROPN
ijassa-1300	176	5	operations	operation	NOUN
ijassa-1300	176	6	and	and	CCONJ
ijassa-1300	176	7	proceeds	proceed	VERB
ijassa-1300	176	8	thereafter	thereafter	ADV
ijassa-1300	176	9	to	to	ADP
ijassa-1300	176	10	genetic	genetic	ADJ
ijassa-1300	176	11	operations	operation	NOUN
ijassa-1300	176	12	.	.	PUNCT
ijassa-1300	177	1	thus	thus	ADV
ijassa-1300	177	2	,	,	PUNCT
ijassa-1300	177	3	the	the	DET
ijassa-1300	177	4	initial	initial	ADJ
ijassa-1300	177	5	population	population	NOUN
ijassa-1300	177	6	of	of	ADP
ijassa-1300	177	7	ga	ga	PROPN
ijassa-1300	177	8	is	be	AUX
ijassa-1300	177	9	not	not	PART
ijassa-1300	177	10	generated	generate	VERB
ijassa-1300	177	11	randomly	randomly	ADV
ijassa-1300	177	12	but	but	CCONJ
ijassa-1300	177	13	it	it	PRON
ijassa-1300	177	14	uses	use	VERB
ijassa-1300	177	15	the	the	DET
ijassa-1300	177	16	results	result	NOUN
ijassa-1300	177	17	of	of	ADP
ijassa-1300	177	18	cs	cs	PROPN
ijassa-1300	177	19	.	.	PROPN
ijassa-1300	177	20	after	after	SCONJ
ijassa-1300	177	21	the	the	DET
ijassa-1300	177	22	genetic	genetic	ADJ
ijassa-1300	177	23	operations	operation	NOUN
ijassa-1300	177	24	are	be	AUX
ijassa-1300	177	25	completed	complete	VERB
ijassa-1300	177	26	,	,	PUNCT
ijassa-1300	177	27	the	the	DET
ijassa-1300	177	28	algorithm	algorithm	NOUN
ijassa-1300	177	29	will	will	AUX
ijassa-1300	177	30	start	start	VERB
ijassa-1300	177	31	over	over	ADP
ijassa-1300	177	32	.	.	PUNCT
ijassa-1300	178	1	figure	figure	NOUN
ijassa-1300	178	2	3.4	3.4	NUM
ijassa-1300	178	3	shows	show	VERB
ijassa-1300	178	4	the	the	DET
ijassa-1300	178	5	pseudocode	pseudocode	NOUN
ijassa-1300	178	6	of	of	ADP
ijassa-1300	178	7	the	the	DET
ijassa-1300	178	8	proposed	propose	VERB
ijassa-1300	178	9	algorithm	algorithm	NOUN
ijassa-1300	178	10	:	:	PUNCT
ijassa-1300	178	11	begin	begin	VERB
ijassa-1300	178	12	:	:	PUNCT
ijassa-1300	178	13	input	input	VERB
ijassa-1300	178	14	an	an	DET
ijassa-1300	178	15	image	image	NOUN
ijassa-1300	178	16	define	define	VERB
ijassa-1300	178	17	ga	ga	PROPN
ijassa-1300	178	18	parameters	parameter	NOUN
ijassa-1300	178	19	define	define	VERB
ijassa-1300	178	20	fitness	fitness	NOUN
ijassa-1300	178	21	function	function	NOUN
ijassa-1300	178	22	generate	generate	VERB
ijassa-1300	178	23	initial	initial	ADJ
ijassa-1300	178	24	population	population	NOUN
ijassa-1300	178	25	p0	p0	NOUN
ijassa-1300	178	26	evaluate	evaluate	VERB
ijassa-1300	178	27	population	population	NOUN
ijassa-1300	178	28	p0	p0	NOUN
ijassa-1300	178	29	while	while	SCONJ
ijassa-1300	178	30	(	(	PUNCT
ijassa-1300	178	31	stopping	stop	VERB
ijassa-1300	178	32	ga	ga	NOUN
ijassa-1300	178	33	criteria	criterion	NOUN
ijassa-1300	178	34	not	not	PART
ijassa-1300	178	35	satisfied	satisfied	ADJ
ijassa-1300	178	36	)	)	PUNCT
ijassa-1300	178	37	repeat	repeat	NOUN
ijassa-1300	178	38	{	{	PUNCT
ijassa-1300	178	39	calculate	calculate	NOUN
ijassa-1300	178	40	fitness	fitness	NOUN
ijassa-1300	178	41	for	for	ADP
ijassa-1300	178	42	each	each	DET
ijassa-1300	178	43	member	member	NOUN
ijassa-1300	178	44	reproduction	reproduction	NOUN
ijassa-1300	178	45	crossover	crossover	ADP
ijassa-1300	178	46	mutation	mutation	NOUN
ijassa-1300	178	47	evaluation	evaluation	NOUN
ijassa-1300	178	48	(	(	PUNCT
ijassa-1300	178	49	muted	mute	VERB
ijassa-1300	178	50	chromosomes	chromosome	NOUN
ijassa-1300	178	51	)	)	PUNCT
ijassa-1300	178	52	}	}	PUNCT
ijassa-1300	178	53	end	end	VERB
ijassa-1300	178	54	171	171	NUM
ijassa-1300	178	55	semantic	semantic	ADJ
ijassa-1300	178	56	image	image	NOUN
ijassa-1300	178	57	segmentation	segmentation	NOUN
ijassa-1300	178	58	using	use	VERB
ijassa-1300	178	59	a	a	DET
ijassa-1300	178	60	hybrid	hybrid	NOUN
ijassa-1300	178	61	…	…	PUNCT
ijassa-1300	178	62	copyright	copyright	NOUN
ijassa-1300	178	63	©	©	PROPN
ijassa-1300	178	64	2023	2023	NUM
ijassa-1300	178	65	assa	assa	NOUN
ijassa-1300	178	66	.	.	PUNCT
ijassa-1300	179	1	adv	adv	PROPN
ijassa-1300	179	2	.	.	PUNCT
ijassa-1300	180	1	in	in	ADP
ijassa-1300	180	2	systems	system	NOUN
ijassa-1300	180	3	science	science	NOUN
ijassa-1300	180	4	and	and	CCONJ
ijassa-1300	180	5	appl	appl	NOUN
ijassa-1300	180	6	.	.	PUNCT
ijassa-1300	181	1	(	(	PUNCT
ijassa-1300	181	2	2023	2023	NUM
ijassa-1300	181	3	)	)	PUNCT
ijassa-1300	181	4	fig	fig	NOUN
ijassa-1300	181	5	.	.	PUNCT
ijassa-1300	182	1	3.4	3.4	NUM
ijassa-1300	182	2	.	.	PUNCT
ijassa-1300	182	3	pseudocode	pseudocode	PROPN
ijassa-1300	182	4	of	of	ADP
ijassa-1300	182	5	the	the	DET
ijassa-1300	182	6	proposed	propose	VERB
ijassa-1300	182	7	algorithm	algorithm	NOUN
ijassa-1300	182	8	the	the	DET
ijassa-1300	182	9	definition	definition	NOUN
ijassa-1300	182	10	of	of	ADP
ijassa-1300	182	11	fitness	fitness	NOUN
ijassa-1300	182	12	function	function	NOUN
ijassa-1300	182	13	is	be	AUX
ijassa-1300	182	14	based	base	VERB
ijassa-1300	182	15	on	on	ADP
ijassa-1300	182	16	the	the	DET
ijassa-1300	182	17	application	application	NOUN
ijassa-1300	182	18	being	be	AUX
ijassa-1300	182	19	used	use	VERB
ijassa-1300	182	20	.	.	PUNCT
ijassa-1300	183	1	for	for	ADP
ijassa-1300	183	2	image	image	NOUN
ijassa-1300	183	3	segmentation	segmentation	NOUN
ijassa-1300	183	4	,	,	PUNCT
ijassa-1300	183	5	it	it	PRON
ijassa-1300	183	6	is	be	AUX
ijassa-1300	183	7	defined	define	VERB
ijassa-1300	183	8	as	as	SCONJ
ijassa-1300	183	9	shown	show	VERB
ijassa-1300	183	10	in	in	ADP
ijassa-1300	183	11	figure	figure	NOUN
ijassa-1300	183	12	3.5	3.5	NUM
ijassa-1300	183	13	[	[	SYM
ijassa-1300	183	14	13	13	NUM
ijassa-1300	183	15	]	]	SYM
ijassa-1300	183	16	:	:	PUNCT
ijassa-1300	183	17	fig	fig	NOUN
ijassa-1300	183	18	.	.	PUNCT
ijassa-1300	184	1	3.5	3.5	NUM
ijassa-1300	184	2	.	.	PUNCT
ijassa-1300	184	3	fitness	fitness	NOUN
ijassa-1300	184	4	function	function	NOUN
ijassa-1300	184	5	for	for	ADP
ijassa-1300	184	6	image	image	NOUN
ijassa-1300	184	7	segmentation	segmentation	NOUN
ijassa-1300	184	8	begin	begin	VERB
ijassa-1300	184	9	input	input	NOUN
ijassa-1300	184	10	:	:	PUNCT
ijassa-1300	184	11	objective	objective	ADJ
ijassa-1300	184	12	function	function	NOUN
ijassa-1300	184	13	)	)	PUNCT
ijassa-1300	184	14	(	(	PUNCT
ijassa-1300	184	15	f	f	NOUN
ijassa-1300	184	16	,	,	PUNCT
ijassa-1300	184	17	image	image	NOUN
ijassa-1300	184	18	to	to	PART
ijassa-1300	184	19	be	be	AUX
ijassa-1300	184	20	segmented	segment	VERB
ijassa-1300	184	21	;	;	PUNCT
ijassa-1300	184	22	initialize	initialize	VERB
ijassa-1300	184	23	the	the	DET
ijassa-1300	184	24	population	population	NOUN
ijassa-1300	184	25	of	of	ADP
ijassa-1300	184	26	n	n	PRON
ijassa-1300	184	27	host	host	NOUN
ijassa-1300	184	28	nests	nest	NOUN
ijassa-1300	184	29	(	(	PUNCT
ijassa-1300	184	30	cities	city	NOUN
ijassa-1300	184	31	)	)	PUNCT
ijassa-1300	184	32	)	)	PUNCT
ijassa-1300	184	33	xi	xi	X
ijassa-1300	184	34	,	,	PUNCT
ijassa-1300	184	35	i=1;2;···;n	i=1;2;···;n	PROPN
ijassa-1300	184	36	;	;	PUNCT
ijassa-1300	184	37	optimize	optimize	VERB
ijassa-1300	184	38	initial	initial	ADJ
ijassa-1300	184	39	solutions	solution	NOUN
ijassa-1300	184	40	and	and	CCONJ
ijassa-1300	184	41	saved	save	VERB
ijassa-1300	184	42	in	in	ADP
ijassa-1300	184	43	the	the	DET
ijassa-1300	184	44	bulletin	bulletin	NOUN
ijassa-1300	184	45	board	board	NOUN
ijassa-1300	184	46	.	.	PUNCT
ijassa-1300	185	1	evaluate	evaluate	VERB
ijassa-1300	185	2	the	the	DET
ijassa-1300	185	3	fitness	fitness	NOUN
ijassa-1300	185	4	of	of	ADP
ijassa-1300	185	5	solutions	solution	NOUN
ijassa-1300	185	6	fi	fi	NOUN
ijassa-1300	185	7	;	;	PUNCT
ijassa-1300	185	8	while	while	SCONJ
ijassa-1300	185	9	(	(	PUNCT
ijassa-1300	185	10	t	t	NOUN
ijassa-1300	185	11	<	<	X
ijassa-1300	185	12	maxgeneration	maxgeneration	NOUN
ijassa-1300	185	13	)	)	PUNCT
ijassa-1300	185	14	{	{	PUNCT
ijassa-1300	185	15	get	get	VERB
ijassa-1300	185	16	a	a	DET
ijassa-1300	185	17	cuckoo	cuckoo	NOUN
ijassa-1300	185	18	randomly	randomly	ADV
ijassa-1300	185	19	by	by	ADP
ijassa-1300	185	20	le’vy	le’vy	ADJ
ijassa-1300	185	21	flights	flight	NOUN
ijassa-1300	185	22	;	;	PUNCT
ijassa-1300	185	23	segment	segment	VERB
ijassa-1300	185	24	the	the	DET
ijassa-1300	185	25	original	original	ADJ
ijassa-1300	185	26	input	input	NOUN
ijassa-1300	185	27	image	image	NOUN
ijassa-1300	185	28	and	and	CCONJ
ijassa-1300	185	29	evaluate	evaluate	VERB
ijassa-1300	185	30	its	its	PRON
ijassa-1300	185	31	quality	quality	NOUN
ijassa-1300	185	32	/	/	SYM
ijassa-1300	185	33	fitness	fitness	NOUN
ijassa-1300	185	34	fi	fi	NOUN
ijassa-1300	185	35	;	;	PUNCT
ijassa-1300	185	36	choose	choose	VERB
ijassa-1300	185	37	a	a	DET
ijassa-1300	185	38	nest	nest	NOUN
ijassa-1300	185	39	among	among	ADP
ijassa-1300	185	40	n	n	PROPN
ijassa-1300	185	41	(	(	PUNCT
ijassa-1300	185	42	say	say	INTJ
ijassa-1300	185	43	,	,	PUNCT
ijassa-1300	185	44	j	j	NOUN
ijassa-1300	185	45	)	)	PUNCT
ijassa-1300	185	46	randomly	randomly	ADV
ijassa-1300	185	47	;	;	PUNCT
ijassa-1300	185	48	if	if	SCONJ
ijassa-1300	185	49	fi	fi	NOUN
ijassa-1300	185	50	<	<	X
ijassa-1300	185	51	fj	fj	X
ijassa-1300	185	52	{	{	PUNCT
ijassa-1300	185	53	replace	replace	VERB
ijassa-1300	185	54	j	j	PROPN
ijassa-1300	185	55	by	by	ADP
ijassa-1300	185	56	the	the	DET
ijassa-1300	185	57	new	new	ADJ
ijassa-1300	185	58	solution	solution	NOUN
ijassa-1300	185	59	;	;	PUNCT
ijassa-1300	185	60	}	}	PUNCT
ijassa-1300	185	61	start	start	VERB
ijassa-1300	185	62	ga	ga	PROPN
ijassa-1300	185	63	with	with	ADP
ijassa-1300	185	64	current	current	ADJ
ijassa-1300	185	65	population	population	NOUN
ijassa-1300	185	66	while	while	SCONJ
ijassa-1300	185	67	(	(	PUNCT
ijassa-1300	185	68	t	t	NOUN
ijassa-1300	185	69	<	<	X
ijassa-1300	185	70	maxgeneration	maxgeneration	NOUN
ijassa-1300	185	71	)	)	PUNCT
ijassa-1300	185	72	{	{	PUNCT
ijassa-1300	185	73	selection	selection	NOUN
ijassa-1300	185	74	:	:	PUNCT
ijassa-1300	185	75	create	create	VERB
ijassa-1300	185	76	matting	matting	NOUN
ijassa-1300	185	77	pool	pool	NOUN
ijassa-1300	185	78	production	production	NOUN
ijassa-1300	185	79	:	:	PUNCT
ijassa-1300	185	80	mutation	mutation	NOUN
ijassa-1300	185	81	(	(	PUNCT
ijassa-1300	185	82	flip	flip	NOUN
ijassa-1300	185	83	,	,	PUNCT
ijassa-1300	185	84	swap	swap	NOUN
ijassa-1300	185	85	,	,	PUNCT
ijassa-1300	185	86	slide	slide	NOUN
ijassa-1300	185	87	)	)	PUNCT
ijassa-1300	185	88	evaluate	evaluate	VERB
ijassa-1300	185	89	population	population	NOUN
ijassa-1300	185	90	}	}	PUNCT
ijassa-1300	185	91	host	host	NOUN
ijassa-1300	185	92	birds	bird	NOUN
ijassa-1300	185	93	abandon	abandon	VERB
ijassa-1300	185	94	pa	pa	PROPN
ijassa-1300	185	95	,	,	PUNCT
ijassa-1300	185	96	)	)	PUNCT
ijassa-1300	185	97	1,0(ap	1,0(ap	NUM
ijassa-1300	185	98	nests	nest	NOUN
ijassa-1300	185	99	,	,	PUNCT
ijassa-1300	185	100	and	and	CCONJ
ijassa-1300	185	101	search	search	NOUN
ijassa-1300	185	102	pa	pa	PROPN
ijassa-1300	185	103	new	new	ADJ
ijassa-1300	185	104	nests	nest	NOUN
ijassa-1300	185	105	;	;	PUNCT
ijassa-1300	185	106	refresh	refresh	VERB
ijassa-1300	185	107	the	the	DET
ijassa-1300	185	108	bulletin	bulletin	NOUN
ijassa-1300	185	109	board	board	NOUN
ijassa-1300	185	110	and	and	CCONJ
ijassa-1300	185	111	keeping	keep	VERB
ijassa-1300	185	112	the	the	DET
ijassa-1300	185	113	best	good	ADJ
ijassa-1300	185	114	solutions	solution	NOUN
ijassa-1300	185	115	(	(	PUNCT
ijassa-1300	185	116	and	and	CCONJ
ijassa-1300	185	117	nests	nest	NOUN
ijassa-1300	185	118	)	)	PUNCT
ijassa-1300	185	119	.	.	PUNCT
ijassa-1300	186	1	rank	rank	VERB
ijassa-1300	186	2	the	the	DET
ijassa-1300	186	3	solutions	solution	NOUN
ijassa-1300	186	4	,	,	PUNCT
ijassa-1300	186	5	and	and	CCONJ
ijassa-1300	186	6	find	find	VERB
ijassa-1300	186	7	the	the	DET
ijassa-1300	186	8	best	good	ADJ
ijassa-1300	186	9	solution	solution	NOUN
ijassa-1300	186	10	.	.	PUNCT
ijassa-1300	187	1	t	t	PROPN
ijassa-1300	187	2	=	=	SYM
ijassa-1300	187	3	t	t	X
ijassa-1300	187	4	+1	+1	NOUN
ijassa-1300	187	5	;	;	PUNCT
ijassa-1300	187	6	}	}	PUNCT
ijassa-1300	187	7	end	end	VERB
ijassa-1300	187	8	giving	give	VERB
ijassa-1300	187	9	that	that	SCONJ
ijassa-1300	187	10	(	(	PUNCT
ijassa-1300	187	11	𝑥	𝑥	NOUN
ijassa-1300	187	12	;	;	PUNCT
ijassa-1300	187	13	𝑦	𝑦	X
ijassa-1300	187	14	)	)	PUNCT
ijassa-1300	187	15	=	=	SYM
ijassa-1300	187	16	𝑠𝑖𝑧𝑒	𝑠𝑖𝑧𝑒	PROPN
ijassa-1300	187	17	𝑜𝑓	𝑜𝑓	ADP
ijassa-1300	187	18	𝑖𝑚𝑎𝑔𝑒	𝑖𝑚𝑎𝑔𝑒	NOUN
ijassa-1300	187	19	𝑖	𝑖	NOUN
ijassa-1300	188	1	=	=	SYM
ijassa-1300	188	2	1	1	NUM
ijassa-1300	188	3	:	:	PUNCT
ijassa-1300	188	4	𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛	𝑝𝑜𝑝𝑢𝑙𝑎𝑡𝑖𝑜𝑛	PROPN
ijassa-1300	188	5	𝑠𝑖𝑧𝑒	𝑠𝑖𝑧𝑒	NOUN
ijassa-1300	188	6	𝑗	𝑗	X
ijassa-1300	188	7	=	=	ADJ
ijassa-1300	188	8	1	1	NUM
ijassa-1300	188	9	:	:	PUNCT
ijassa-1300	188	10	𝑙𝑒𝑛𝑔𝑡ℎ	𝑙𝑒𝑛𝑔𝑡ℎ	NOUN
ijassa-1300	188	11	𝑜𝑓	𝑜𝑓	ADP
ijassa-1300	188	12	𝑐ℎ𝑟𝑜𝑚𝑜𝑠𝑜𝑚𝑒	𝑐ℎ𝑟𝑜𝑚𝑜𝑠𝑜𝑚𝑒	PROPN
ijassa-1300	188	13	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑖	𝑓𝑖𝑡𝑛𝑒𝑠𝑠(𝑖	PROPN
ijassa-1300	188	14	;	;	PUNCT
ijassa-1300	188	15	𝑖	𝑖	X
ijassa-1300	188	16	)	)	PUNCT
ijassa-1300	188	17	=	=	VERB
ijassa-1300	189	1	𝑙𝑜𝑤𝑛𝑢𝑚	𝑙𝑜𝑤𝑛𝑢𝑚	PROPN
ijassa-1300	189	2	∗	∗	NOUN
ijassa-1300	189	3	ℎ𝑖𝑔ℎ𝑛𝑢𝑚	ℎ𝑖𝑔ℎ𝑛𝑢𝑚	PROPN
ijassa-1300	189	4	∗	∗	PROPN
ijassa-1300	189	5	(	(	PUNCT
ijassa-1300	189	6	𝑑1	𝑑1	NOUN
ijassa-1300	189	7	−	−	PROPN
ijassa-1300	189	8	𝑑2	𝑑2	NOUN
ijassa-1300	189	9	)	)	PUNCT
ijassa-1300	189	10	where	where	SCONJ
ijassa-1300	189	11	𝑑1	𝑑1	NOUN
ijassa-1300	189	12	=	=	PUNCT
ijassa-1300	189	13	𝑙𝑜𝑤𝑠𝑢𝑚	𝑙𝑜𝑤𝑠𝑢𝑚	NOUN
ijassa-1300	189	14	𝑙𝑜𝑤𝑛𝑢𝑚	𝑙𝑜𝑤𝑛𝑢𝑚	ADJ
ijassa-1300	189	15	;	;	PUNCT
ijassa-1300	189	16	𝑑2	𝑑2	NOUN
ijassa-1300	189	17	=	=	SYM
ijassa-1300	189	18	ℎ𝑖𝑔ℎ𝑠𝑢𝑚	ℎ𝑖𝑔ℎ𝑠𝑢𝑚	ADJ
ijassa-1300	189	19	ℎ𝑖𝑔ℎ𝑛𝑢𝑚	ℎ𝑖𝑔ℎ𝑛𝑢𝑚	ADJ
ijassa-1300	189	20	ℎ𝑖𝑔ℎ𝑠𝑢𝑚	ℎ𝑖𝑔ℎ𝑠𝑢𝑚	PROPN
ijassa-1300	189	21	=	=	PUNCT
ijassa-1300	189	22	ℎ𝑖𝑔ℎ𝑠𝑢𝑚	ℎ𝑖𝑔ℎ𝑠𝑢𝑚	ADJ
ijassa-1300	189	23	+	+	NUM
ijassa-1300	189	24	𝑑𝑜𝑢𝑏𝑙𝑒((𝐶(𝑥	𝑑𝑜𝑢𝑏𝑙𝑒((𝐶(𝑥	PROPN
ijassa-1300	189	25	;	;	PUNCT
ijassa-1300	189	26	𝑦	𝑦	NUM
ijassa-1300	189	27	)	)	PUNCT
ijassa-1300	189	28	)	)	PUNCT
ijassa-1300	190	1	𝑙𝑜𝑤𝑠𝑢𝑚	𝑙𝑜𝑤𝑠𝑢𝑚	NOUN
ijassa-1300	191	1	=	=	PUNCT
ijassa-1300	191	2	𝑙𝑜𝑤𝑠𝑢𝑚	𝑙𝑜𝑤𝑠𝑢𝑚	PROPN
ijassa-1300	191	3	+	+	CCONJ
ijassa-1300	191	4	𝑑𝑜𝑢𝑏𝑙𝑒	𝑑𝑜𝑢𝑏𝑙𝑒	PROPN
ijassa-1300	191	5	(	(	PUNCT
ijassa-1300	191	6	𝑥	𝑥	NOUN
ijassa-1300	191	7	;	;	PUNCT
ijassa-1300	191	8	𝑦	𝑦	X
ijassa-1300	191	9	)	)	PUNCT
ijassa-1300	191	10	where	where	SCONJ
ijassa-1300	191	11	𝐶(𝑥	𝐶(𝑥	ADP
ijassa-1300	191	12	;	;	PUNCT
ijassa-1300	191	13	𝑦	𝑦	X
ijassa-1300	191	14	)	)	PUNCT
ijassa-1300	191	15	=	=	SYM
ijassa-1300	192	1	𝑏(1	𝑏(1	PROPN
ijassa-1300	192	2	;	;	PUNCT
ijassa-1300	192	3	𝑖	𝑖	X
ijassa-1300	192	4	)	)	PUNCT
ijassa-1300	192	5	𝑏(1	𝑏(1	PROPN
ijassa-1300	192	6	;	;	PUNCT
ijassa-1300	192	7	𝑖	𝑖	X
ijassa-1300	192	8	)	)	PUNCT
ijassa-1300	192	9	=	=	SYM
ijassa-1300	192	10	𝑐	𝑐	PROPN
ijassa-1300	192	11	∗	∗	NOUN
ijassa-1300	192	12	255	255	NUM
ijassa-1300	192	13	2	2	NUM
ijassa-1300	192	14	𝑐	𝑐	NOUN
ijassa-1300	192	15	=	=	SYM
ijassa-1300	192	16	𝑐	𝑐	PROPN
ijassa-1300	192	17	+	+	NOUN
ijassa-1300	192	18	𝑐ℎ𝑟𝑜𝑚𝑜𝑠𝑜𝑚𝑒(1	𝑐ℎ𝑟𝑜𝑚𝑜𝑠𝑜𝑚𝑒(1	NOUN
ijassa-1300	192	19	;	;	PUNCT
ijassa-1300	192	20	𝑗	𝑗	X
ijassa-1300	192	21	)	)	PUNCT
ijassa-1300	192	22	∗	∗	NOUN
ijassa-1300	192	23	(	(	PUNCT
ijassa-1300	192	24	2	2	NUM
ijassa-1300	192	25	)	)	PUNCT
ijassa-1300	192	26	172	172	NUM
ijassa-1300	192	27	a.	a.	NOUN
ijassa-1300	192	28	abu	abu	PROPN
ijassa-1300	192	29	srhan	srhan	PROPN
ijassa-1300	192	30	,	,	PUNCT
ijassa-1300	192	31	m.	m.	PROPN
ijassa-1300	192	32	h.	h.	PROPN
ijassa-1300	192	33	qasem	qasem	PROPN
ijassa-1300	192	34	,	,	PUNCT
ijassa-1300	192	35	h.s	h.s	PROPN
ijassa-1300	192	36	.	.	PROPN
ijassa-1300	192	37	natoureah	natoureah	PROPN
ijassa-1300	192	38	,	,	PUNCT
ijassa-1300	192	39	a.	a.	NOUN
ijassa-1300	192	40	shdaifat	shdaifat	PROPN
ijassa-1300	192	41	copyright	copyright	NOUN
ijassa-1300	192	42	©	©	PROPN
ijassa-1300	192	43	2023	2023	NUM
ijassa-1300	192	44	assa	assa	PROPN
ijassa-1300	192	45	adv	adv	PROPN
ijassa-1300	192	46	.	.	PUNCT
ijassa-1300	193	1	in	in	ADP
ijassa-1300	193	2	systems	system	NOUN
ijassa-1300	193	3	science	science	NOUN
ijassa-1300	193	4	and	and	CCONJ
ijassa-1300	193	5	appl	appl	NOUN
ijassa-1300	193	6	.	.	PUNCT
ijassa-1300	194	1	(	(	PUNCT
ijassa-1300	194	2	2023	2023	NUM
ijassa-1300	194	3	)	)	PUNCT
ijassa-1300	194	4	4	4	NUM
ijassa-1300	194	5	.	.	X
ijassa-1300	194	6	implementation	implementation	NOUN
ijassa-1300	194	7	and	and	CCONJ
ijassa-1300	194	8	results	result	VERB
ijassa-1300	194	9	the	the	DET
ijassa-1300	194	10	current	current	ADJ
ijassa-1300	194	11	research	research	NOUN
ijassa-1300	194	12	used	use	VERB
ijassa-1300	194	13	the	the	DET
ijassa-1300	194	14	berkeley	berkeley	PROPN
ijassa-1300	194	15	benchmark	benchmark	NOUN
ijassa-1300	194	16	,	,	PUNCT
ijassa-1300	194	17	which	which	PRON
ijassa-1300	194	18	have	have	AUX
ijassa-1300	194	19	collected	collect	VERB
ijassa-1300	194	20	12,000	12,000	NUM
ijassa-1300	194	21	hand	hand	NOUN
ijassa-1300	194	22	-	-	PUNCT
ijassa-1300	194	23	labeled	label	VERB
ijassa-1300	194	24	segmentations	segmentation	NOUN
ijassa-1300	194	25	of	of	ADP
ijassa-1300	194	26	1,000	1,000	NUM
ijassa-1300	194	27	corel	corel	NOUN
ijassa-1300	194	28	data	datum	NOUN
ijassa-1300	194	29	set	set	VERB
ijassa-1300	194	30	images	image	NOUN
ijassa-1300	194	31	from	from	ADP
ijassa-1300	194	32	30	30	NUM
ijassa-1300	194	33	human	human	ADJ
ijassa-1300	194	34	subjects	subject	NOUN
ijassa-1300	194	35	.	.	PUNCT
ijassa-1300	195	1	four	four	NUM
ijassa-1300	195	2	grayscale	grayscale	NOUN
ijassa-1300	195	3	images	image	NOUN
ijassa-1300	195	4	were	be	AUX
ijassa-1300	195	5	applied	apply	VERB
ijassa-1300	195	6	on	on	ADP
ijassa-1300	195	7	csga	csga	PROPN
ijassa-1300	195	8	,	,	PUNCT
ijassa-1300	195	9	fcm	fcm	X
ijassa-1300	195	10	,	,	PUNCT
ijassa-1300	195	11	k	k	NOUN
ijassa-1300	195	12	-	-	PUNCT
ijassa-1300	195	13	means	mean	NOUN
ijassa-1300	195	14	,	,	PUNCT
ijassa-1300	195	15	and	and	CCONJ
ijassa-1300	195	16	ga	ga	VERB
ijassa-1300	195	17	to	to	PART
ijassa-1300	195	18	determine	determine	VERB
ijassa-1300	195	19	the	the	DET
ijassa-1300	195	20	positive	positive	ADJ
ijassa-1300	195	21	ratio	ratio	NOUN
ijassa-1300	195	22	,	,	PUNCT
ijassa-1300	195	23	false	false	ADJ
ijassa-1300	195	24	negative	negative	ADJ
ijassa-1300	195	25	ratio	ratio	NOUN
ijassa-1300	195	26	,	,	PUNCT
ijassa-1300	195	27	and	and	CCONJ
ijassa-1300	195	28	ground	ground	NOUN
ijassa-1300	195	29	truth	truth	NOUN
ijassa-1300	195	30	for	for	ADP
ijassa-1300	195	31	each	each	DET
ijassa-1300	195	32	algorithm	algorithm	NOUN
ijassa-1300	195	33	.	.	PUNCT
ijassa-1300	196	1	various	various	ADJ
ijassa-1300	196	2	algorithms	algorithm	NOUN
ijassa-1300	196	3	are	be	AUX
ijassa-1300	196	4	simulated	simulate	VERB
ijassa-1300	196	5	using	use	VERB
ijassa-1300	196	6	matlab	matlab	PROPN
ijassa-1300	196	7	and	and	CCONJ
ijassa-1300	196	8	compared	compare	VERB
ijassa-1300	196	9	with	with	ADP
ijassa-1300	196	10	one	one	NUM
ijassa-1300	196	11	another	another	DET
ijassa-1300	196	12	to	to	PART
ijassa-1300	196	13	determine	determine	VERB
ijassa-1300	196	14	the	the	DET
ijassa-1300	196	15	effectiveness	effectiveness	NOUN
ijassa-1300	196	16	of	of	ADP
ijassa-1300	196	17	csga	csga	PROPN
ijassa-1300	196	18	.	.	PUNCT
ijassa-1300	197	1	a	a	DET
ijassa-1300	197	2	set	set	NOUN
ijassa-1300	197	3	of	of	ADP
ijassa-1300	197	4	four	four	NUM
ijassa-1300	197	5	images	image	NOUN
ijassa-1300	197	6	are	be	AUX
ijassa-1300	197	7	used	use	VERB
ijassa-1300	197	8	to	to	PART
ijassa-1300	197	9	illustrate	illustrate	VERB
ijassa-1300	197	10	the	the	DET
ijassa-1300	197	11	usability	usability	NOUN
ijassa-1300	197	12	of	of	ADP
ijassa-1300	197	13	the	the	DET
ijassa-1300	197	14	proposed	propose	VERB
ijassa-1300	197	15	model	model	NOUN
ijassa-1300	197	16	.	.	PUNCT
ijassa-1300	198	1	segmentation	segmentation	NOUN
ijassa-1300	198	2	results	result	NOUN
ijassa-1300	198	3	are	be	AUX
ijassa-1300	198	4	shown	show	VERB
ijassa-1300	198	5	in	in	ADP
ijassa-1300	198	6	figures	figure	NOUN
ijassa-1300	198	7	4.1	4.1	NUM
ijassa-1300	198	8	,	,	PUNCT
ijassa-1300	198	9	4.2	4.2	NUM
ijassa-1300	198	10	,	,	PUNCT
ijassa-1300	198	11	4.3	4.3	NUM
ijassa-1300	198	12	,	,	PUNCT
ijassa-1300	198	13	and	and	CCONJ
ijassa-1300	198	14	4.4	4.4	NUM
ijassa-1300	198	15	.	.	PUNCT
ijassa-1300	199	1	the	the	DET
ijassa-1300	199	2	evaluation	evaluation	NOUN
ijassa-1300	199	3	results	result	NOUN
ijassa-1300	199	4	of	of	ADP
ijassa-1300	199	5	the	the	DET
ijassa-1300	199	6	tested	test	VERB
ijassa-1300	199	7	images	image	NOUN
ijassa-1300	199	8	are	be	AUX
ijassa-1300	199	9	shown	show	VERB
ijassa-1300	199	10	in	in	ADP
ijassa-1300	199	11	table	table	NOUN
ijassa-1300	199	12	4.1	4.1	NUM
ijassa-1300	199	13	.	.	PUNCT
ijassa-1300	199	14	table	table	NOUN
ijassa-1300	199	15	4.1	4.1	NUM
ijassa-1300	199	16	.	.	PUNCT
ijassa-1300	200	1	evaluation	evaluation	NOUN
ijassa-1300	200	2	results	result	NOUN
ijassa-1300	200	3	of	of	ADP
ijassa-1300	200	4	the	the	DET
ijassa-1300	200	5	tested	test	VERB
ijassa-1300	200	6	images	image	NOUN
ijassa-1300	200	7	csga	csga	VERB
ijassa-1300	200	8	k	k	ADJ
ijassa-1300	200	9	-	-	ADJ
ijassa-1300	200	10	mean	mean	ADJ
ijassa-1300	200	11	fcm	fcm	PROPN
ijassa-1300	200	12	ga	ga	PROPN
ijassa-1300	200	13	algorithms	algorithms	PROPN
ijassa-1300	200	14	image-1	image-1	PROPN
ijassa-1300	200	15	0.8707	0.8707	NUM
ijassa-1300	200	16	0.7527	0.7527	NUM
ijassa-1300	200	17	0.8399	0.8399	NUM
ijassa-1300	200	18	0.6903	0.6903	NUM
ijassa-1300	200	19	false	false	ADJ
ijassa-1300	200	20	positive	positive	ADJ
ijassa-1300	200	21	ratio	ratio	NOUN
ijassa-1300	200	22	0.9959	0.9959	NUM
ijassa-1300	200	23	0.9963	0.9963	NUM
ijassa-1300	200	24	0.9960	0.9960	NUM
ijassa-1300	200	25	0.9967	0.9967	NUM
ijassa-1300	200	26	false	false	ADJ
ijassa-1300	200	27	negative	negative	ADJ
ijassa-1300	200	28	ratio	ratio	NOUN
ijassa-1300	200	29	0.6461	0.6461	NUM
ijassa-1300	200	30	0.6302	0.6302	NUM
ijassa-1300	200	31	0.6365	0.6365	NUM
ijassa-1300	200	32	0.6306	0.6306	NUM
ijassa-1300	200	33	jaccard	jaccard	ADJ
ijassa-1300	200	34	image-2	image-2	PROPN
ijassa-1300	200	35	0.8764	0.8764	NUM
ijassa-1300	200	36	0.6516	0.6516	NUM
ijassa-1300	200	37	0.7332	0.7332	NUM
ijassa-1300	200	38	0.6524	0.6524	NUM
ijassa-1300	200	39	false	false	ADJ
ijassa-1300	200	40	positive	positive	ADJ
ijassa-1300	200	41	ratio	ratio	NOUN
ijassa-1300	200	42	0.9960	0.9960	NUM
ijassa-1300	200	43	0.9969	0.9969	NUM
ijassa-1300	200	44	0.9967	0.9967	NUM
ijassa-1300	200	45	0.9965	0.9965	NUM
ijassa-1300	200	46	false	false	ADJ
ijassa-1300	200	47	negative	negative	ADJ
ijassa-1300	200	48	ratio	ratio	NOUN
ijassa-1300	200	49	0.6674	0.6674	NUM
ijassa-1300	200	50	0.5791	0.5791	NUM
ijassa-1300	200	51	0.6639	0.6639	NUM
ijassa-1300	200	52	0.6524	0.6524	NUM
ijassa-1300	200	53	jaccard	jaccard	ADJ
ijassa-1300	200	54	image-3	image-3	NUM
ijassa-1300	200	55	0.8816	0.8816	NUM
ijassa-1300	200	56	0.7689	0.7689	NUM
ijassa-1300	200	57	0.8959	0.8959	NUM
ijassa-1300	200	58	0.6574	0.6574	NUM
ijassa-1300	200	59	false	false	ADJ
ijassa-1300	200	60	positive	positive	ADJ
ijassa-1300	200	61	ratio	ratio	NOUN
ijassa-1300	200	62	0.9958	0.9958	NUM
ijassa-1300	201	1	0.9961	0.9961	NUM
ijassa-1300	201	2	0.8541	0.8541	NUM
ijassa-1300	201	3	0.9968	0.9968	NUM
ijassa-1300	201	4	false	false	ADJ
ijassa-1300	201	5	negative	negative	ADJ
ijassa-1300	201	6	ratio	ratio	NOUN
ijassa-1300	201	7	0.6601	0.6601	NUM
ijassa-1300	201	8	0.6154	0.6154	NUM
ijassa-1300	201	9	0.6361	0.6361	NUM
ijassa-1300	201	10	0.6451	0.6451	NUM
ijassa-1300	201	11	jaccard	jaccard	ADJ
ijassa-1300	201	12	image-4	image-4	NOUN
ijassa-1300	201	13	0.9024	0.9024	NUM
ijassa-1300	201	14	0.8347	0.8347	NUM
ijassa-1300	201	15	0.7221	0.7221	NUM
ijassa-1300	201	16	0.7213	0.7213	NUM
ijassa-1300	201	17	false	false	ADJ
ijassa-1300	201	18	positive	positive	ADJ
ijassa-1300	201	19	ratio	ratio	NOUN
ijassa-1300	201	20	0.9952	0.9952	NUM
ijassa-1300	201	21	0.9883	0.9883	NUM
ijassa-1300	201	22	0.9821	0.9821	NUM
ijassa-1300	201	23	0.9931	0.9931	NUM
ijassa-1300	201	24	false	false	ADJ
ijassa-1300	201	25	negative	negative	ADJ
ijassa-1300	201	26	ratio	ratio	NOUN
ijassa-1300	201	27	0.7024	0.7024	NUM
ijassa-1300	201	28	0.6800	0.6800	NUM
ijassa-1300	201	29	0.6384	0.6384	NUM
ijassa-1300	201	30	0.6753	0.6753	NUM
ijassa-1300	201	31	jaccard	jaccard	ADJ
ijassa-1300	201	32	original	original	ADJ
ijassa-1300	201	33	image	image	NOUN
ijassa-1300	201	34	ground	ground	NOUN
ijassa-1300	201	35	truth	truth	NOUN
ijassa-1300	201	36	csga	csga	X
ijassa-1300	201	37	fcm	fcm	VERB
ijassa-1300	201	38	k	k	ADJ
ijassa-1300	201	39	-	-	ADJ
ijassa-1300	201	40	mean	mean	ADJ
ijassa-1300	201	41	ga	ga	PROPN
ijassa-1300	201	42	fig	fig	NOUN
ijassa-1300	201	43	.	.	PUNCT
ijassa-1300	202	1	4.1	4.1	NUM
ijassa-1300	202	2	.	.	PUNCT
ijassa-1300	203	1	image-1	image-1	NUM
ijassa-1300	203	2	segmentation	segmentation	NOUN
ijassa-1300	203	3	results	result	VERB
ijassa-1300	203	4	173	173	NUM
ijassa-1300	203	5	semantic	semantic	ADJ
ijassa-1300	203	6	image	image	NOUN
ijassa-1300	203	7	segmentation	segmentation	NOUN
ijassa-1300	203	8	using	use	VERB
ijassa-1300	203	9	a	a	DET
ijassa-1300	203	10	hybrid	hybrid	NOUN
ijassa-1300	203	11	…	…	PUNCT
ijassa-1300	203	12	copyright	copyright	NOUN
ijassa-1300	203	13	©	©	PROPN
ijassa-1300	203	14	2023	2023	NUM
ijassa-1300	203	15	assa	assa	NOUN
ijassa-1300	203	16	.	.	PUNCT
ijassa-1300	204	1	adv	adv	PROPN
ijassa-1300	204	2	.	.	PUNCT
ijassa-1300	205	1	in	in	ADP
ijassa-1300	205	2	systems	system	NOUN
ijassa-1300	205	3	science	science	NOUN
ijassa-1300	205	4	and	and	CCONJ
ijassa-1300	205	5	appl	appl	NOUN
ijassa-1300	205	6	.	.	PUNCT
ijassa-1300	206	1	(	(	PUNCT
ijassa-1300	206	2	2023	2023	NUM
ijassa-1300	206	3	)	)	PUNCT
ijassa-1300	206	4	original	original	ADJ
ijassa-1300	206	5	image	image	NOUN
ijassa-1300	206	6	ground	ground	NOUN
ijassa-1300	206	7	truth	truth	NOUN
ijassa-1300	206	8	csga	csga	X
ijassa-1300	206	9	fcm	fcm	VERB
ijassa-1300	206	10	k	k	ADJ
ijassa-1300	206	11	-	-	ADJ
ijassa-1300	206	12	mean	mean	ADJ
ijassa-1300	206	13	ga	ga	PROPN
ijassa-1300	206	14	fig	fig	NOUN
ijassa-1300	206	15	.	.	PUNCT
ijassa-1300	207	1	4.2	4.2	NUM
ijassa-1300	207	2	.	.	PUNCT
ijassa-1300	208	1	image-2	image-2	NUM
ijassa-1300	208	2	segmentation	segmentation	NOUN
ijassa-1300	208	3	results	result	VERB
ijassa-1300	208	4	original	original	ADJ
ijassa-1300	208	5	image	image	NOUN
ijassa-1300	208	6	ground	ground	NOUN
ijassa-1300	208	7	truth	truth	NOUN
ijassa-1300	208	8	csga	csga	X
ijassa-1300	208	9	fcm	fcm	VERB
ijassa-1300	208	10	k	k	ADJ
ijassa-1300	208	11	-	-	ADJ
ijassa-1300	208	12	mean	mean	ADJ
ijassa-1300	208	13	ga	ga	PROPN
ijassa-1300	208	14	fig	fig	NOUN
ijassa-1300	208	15	.	.	PUNCT
ijassa-1300	209	1	4.3	4.3	NUM
ijassa-1300	209	2	.	.	PUNCT
ijassa-1300	210	1	image-3	image-3	NUM
ijassa-1300	210	2	segmentation	segmentation	NOUN
ijassa-1300	210	3	results	result	VERB
ijassa-1300	210	4	174	174	NUM
ijassa-1300	210	5	a.	a.	NOUN
ijassa-1300	210	6	abu	abu	PROPN
ijassa-1300	210	7	srhan	srhan	PROPN
ijassa-1300	210	8	,	,	PUNCT
ijassa-1300	210	9	m.	m.	PROPN
ijassa-1300	210	10	h.	h.	PROPN
ijassa-1300	210	11	qasem	qasem	PROPN
ijassa-1300	210	12	,	,	PUNCT
ijassa-1300	210	13	h.s	h.s	PROPN
ijassa-1300	210	14	.	.	PROPN
ijassa-1300	211	1	natoureah	natoureah	PROPN
ijassa-1300	211	2	,	,	PUNCT
ijassa-1300	211	3	a.	a.	NOUN
ijassa-1300	211	4	shdaifat	shdaifat	PROPN
ijassa-1300	211	5	copyright	copyright	NOUN
ijassa-1300	212	1	©	©	PROPN
ijassa-1300	212	2	2023	2023	NUM
ijassa-1300	212	3	assa	assa	PROPN
ijassa-1300	212	4	adv	adv	PROPN
ijassa-1300	212	5	.	.	PUNCT
ijassa-1300	213	1	in	in	ADP
ijassa-1300	213	2	systems	system	NOUN
ijassa-1300	213	3	science	science	NOUN
ijassa-1300	213	4	and	and	CCONJ
ijassa-1300	213	5	appl	appl	NOUN
ijassa-1300	213	6	.	.	PUNCT
ijassa-1300	214	1	(	(	PUNCT
ijassa-1300	214	2	2023	2023	NUM
ijassa-1300	214	3	)	)	PUNCT
ijassa-1300	214	4	original	original	ADJ
ijassa-1300	214	5	image	image	NOUN
ijassa-1300	214	6	ground	ground	NOUN
ijassa-1300	214	7	truth	truth	NOUN
ijassa-1300	214	8	csga	csga	X
ijassa-1300	214	9	fcm	fcm	VERB
ijassa-1300	214	10	k	k	ADJ
ijassa-1300	214	11	-	-	ADJ
ijassa-1300	214	12	mean	mean	ADJ
ijassa-1300	214	13	ga	ga	NOUN
ijassa-1300	214	14	fig.4.4	fig.4.4	PROPN
ijassa-1300	214	15	.	.	PUNCT
ijassa-1300	215	1	image-4	image-4	NUM
ijassa-1300	215	2	segmentation	segmentation	NOUN
ijassa-1300	215	3	results	result	VERB
ijassa-1300	215	4	the	the	DET
ijassa-1300	215	5	comparison	comparison	NOUN
ijassa-1300	215	6	among	among	ADP
ijassa-1300	215	7	csga	csga	PROPN
ijassa-1300	215	8	,	,	PUNCT
ijassa-1300	215	9	k	k	X
ijassa-1300	215	10	-	-	PUNCT
ijassa-1300	215	11	means	means	PROPN
ijassa-1300	215	12	,	,	PUNCT
ijassa-1300	215	13	fcm	fcm	X
ijassa-1300	215	14	,	,	PUNCT
ijassa-1300	215	15	and	and	CCONJ
ijassa-1300	215	16	ga	ga	PROPN
ijassa-1300	215	17	indicates	indicate	VERB
ijassa-1300	215	18	that	that	SCONJ
ijassa-1300	215	19	csga	csga	PROPN
ijassa-1300	215	20	is	be	AUX
ijassa-1300	215	21	constantly	constantly	ADV
ijassa-1300	215	22	more	more	ADV
ijassa-1300	215	23	efficient	efficient	ADJ
ijassa-1300	215	24	and	and	CCONJ
ijassa-1300	215	25	accurate	accurate	ADJ
ijassa-1300	215	26	than	than	ADP
ijassa-1300	215	27	the	the	DET
ijassa-1300	215	28	other	other	ADJ
ijassa-1300	215	29	algorithms	algorithm	NOUN
ijassa-1300	215	30	on	on	ADP
ijassa-1300	215	31	the	the	DET
ijassa-1300	215	32	different	different	ADJ
ijassa-1300	215	33	images	image	NOUN
ijassa-1300	215	34	(	(	PUNCT
ijassa-1300	215	35	see	see	VERB
ijassa-1300	215	36	table	table	NOUN
ijassa-1300	215	37	4.4	4.4	NUM
ijassa-1300	215	38	)	)	PUNCT
ijassa-1300	215	39	.	.	PUNCT
ijassa-1300	216	1	evidently	evidently	ADV
ijassa-1300	216	2	,	,	PUNCT
ijassa-1300	216	3	csga	csga	PROPN
ijassa-1300	216	4	outperformed	outperform	VERB
ijassa-1300	216	5	the	the	DET
ijassa-1300	216	6	other	other	ADJ
ijassa-1300	216	7	algorithms	algorithm	NOUN
ijassa-1300	216	8	,	,	PUNCT
ijassa-1300	216	9	thereby	thereby	ADV
ijassa-1300	216	10	achieving	achieve	VERB
ijassa-1300	216	11	the	the	DET
ijassa-1300	216	12	research	research	NOUN
ijassa-1300	216	13	goal	goal	NOUN
ijassa-1300	216	14	of	of	ADP
ijassa-1300	216	15	the	the	DET
ijassa-1300	216	16	current	current	ADJ
ijassa-1300	216	17	study	study	NOUN
ijassa-1300	216	18	.	.	PUNCT
ijassa-1300	217	1	table	table	NOUN
ijassa-1300	217	2	4.4	4.4	NUM
ijassa-1300	217	3	.	.	PUNCT
ijassa-1300	218	1	enhancement	enhancement	NOUN
ijassa-1300	218	2	results	result	VERB
ijassa-1300	218	3	algorithms	algorithm	NOUN
ijassa-1300	218	4	csga	csga	VERB
ijassa-1300	218	5	over	over	ADP
ijassa-1300	218	6	ga	ga	PROPN
ijassa-1300	218	7	csga	csga	PROPN
ijassa-1300	218	8	over	over	ADP
ijassa-1300	218	9	fcm	fcm	PROPN
ijassa-1300	218	10	csga	csga	PROPN
ijassa-1300	218	11	over	over	ADP
ijassa-1300	218	12	kmean	kmean	ADJ
ijassa-1300	218	13	image	image	NOUN
ijassa-1300	218	14	1	1	NUM
ijassa-1300	218	15	false	false	ADJ
ijassa-1300	218	16	positive	positive	ADJ
ijassa-1300	218	17	ratio	ratio	NOUN
ijassa-1300	218	18	enhancement	enhancement	NOUN
ijassa-1300	218	19	18.04	18.04	NUM
ijassa-1300	218	20	%	%	NOUN
ijassa-1300	218	21	6.18	6.18	NUM
ijassa-1300	218	22	%	%	NOUN
ijassa-1300	218	23	14.90	14.90	NUM
ijassa-1300	218	24	%	%	NOUN
ijassa-1300	218	25	false	false	ADJ
ijassa-1300	218	26	negative	negative	ADJ
ijassa-1300	218	27	ratio	ratio	NOUN
ijassa-1300	218	28	enhancement	enhancement	NOUN
ijassa-1300	218	29	0.08	0.08	NUM
ijassa-1300	218	30	%	%	NOUN
ijassa-1300	218	31	0.04	0.04	NUM
ijassa-1300	218	32	%	%	NOUN
ijassa-1300	218	33	0.07	0.07	NUM
ijassa-1300	218	34	%	%	NOUN
ijassa-1300	218	35	jaccard	jaccard	ADJ
ijassa-1300	218	36	enhancement	enhancement	NOUN
ijassa-1300	218	37	1.55	1.55	NUM
ijassa-1300	218	38	%	%	NOUN
ijassa-1300	218	39	0.04	0.04	NUM
ijassa-1300	218	40	%	%	NOUN
ijassa-1300	218	41	62.10	62.10	NUM
ijassa-1300	218	42	%	%	NOUN
ijassa-1300	218	43	image	image	NOUN
ijassa-1300	218	44	2	2	NUM
ijassa-1300	218	45	false	false	ADJ
ijassa-1300	218	46	positive	positive	ADJ
ijassa-1300	218	47	ratio	ratio	NOUN
ijassa-1300	218	48	enhancement	enhancement	NOUN
ijassa-1300	218	49	22.40	22.40	NUM
ijassa-1300	218	50	%	%	NOUN
ijassa-1300	218	51	0.08	0.08	NUM
ijassa-1300	218	52	%	%	NOUN
ijassa-1300	218	53	8.08	8.08	NUM
ijassa-1300	218	54	%	%	NOUN
ijassa-1300	218	55	false	false	ADJ
ijassa-1300	218	56	negative	negative	ADJ
ijassa-1300	218	57	ratio	ratio	NOUN
ijassa-1300	218	58	enhancement	enhancement	NOUN
ijassa-1300	218	59	0.05	0.05	NUM
ijassa-1300	218	60	%	%	NOUN
ijassa-1300	218	61	0.04	0.04	NUM
ijassa-1300	218	62	%	%	NOUN
ijassa-1300	218	63	0.02	0.02	NUM
ijassa-1300	218	64	%	%	NOUN
ijassa-1300	218	65	jaccard	jaccard	ADJ
ijassa-1300	218	66	enhancement	enhancement	NOUN
ijassa-1300	218	67	1.50	1.50	NUM
ijassa-1300	218	68	%	%	NOUN
ijassa-1300	218	69	7.33	7.33	NUM
ijassa-1300	218	70	%	%	NOUN
ijassa-1300	218	71	1.15	1.15	NUM
ijassa-1300	218	72	%	%	NOUN
ijassa-1300	218	73	image	image	NOUN
ijassa-1300	218	74	3	3	NUM
ijassa-1300	218	75	false	false	ADJ
ijassa-1300	218	76	positive	positive	ADJ
ijassa-1300	218	77	ratio	ratio	NOUN
ijassa-1300	218	78	enhancement	enhancement	NOUN
ijassa-1300	218	79	22.42	22.42	NUM
ijassa-1300	218	80	%	%	NOUN
ijassa-1300	218	81	11.15	11.15	NUM
ijassa-1300	218	82	%	%	NOUN
ijassa-1300	218	83	33.85	33.85	NUM
ijassa-1300	218	84	%	%	NOUN
ijassa-1300	218	85	false	false	ADJ
ijassa-1300	218	86	negative	negative	ADJ
ijassa-1300	218	87	ratio	ratio	NOUN
ijassa-1300	218	88	enhancement	enhancement	NOUN
ijassa-1300	218	89	0.10	0.10	NUM
ijassa-1300	218	90	%	%	NOUN
ijassa-1300	218	91	0.07	0.07	NUM
ijassa-1300	218	92	%	%	NOUN
ijassa-1300	218	93	14.27	14.27	NUM
ijassa-1300	218	94	%	%	NOUN
ijassa-1300	218	95	jaccard	jaccard	ADJ
ijassa-1300	218	96	enhancement	enhancement	NOUN
ijassa-1300	218	97	1.50	1.50	NUM
ijassa-1300	218	98	%	%	NOUN
ijassa-1300	218	99	2.97	2.97	NUM
ijassa-1300	218	100	%	%	NOUN
ijassa-1300	218	101	0.90	0.90	NUM
ijassa-1300	218	102	%	%	NOUN
ijassa-1300	218	103	image	image	NOUN
ijassa-1300	218	104	4	4	NUM
ijassa-1300	218	105	false	false	ADJ
ijassa-1300	218	106	positive	positive	ADJ
ijassa-1300	218	107	ratio	ratio	NOUN
ijassa-1300	218	108	enhancement	enhancement	NOUN
ijassa-1300	218	109	18.11	18.11	NUM
ijassa-1300	218	110	%	%	NOUN
ijassa-1300	218	111	18.03	18.03	NUM
ijassa-1300	218	112	%	%	NOUN
ijassa-1300	218	113	6.77	6.77	NUM
ijassa-1300	218	114	%	%	NOUN
ijassa-1300	218	115	false	false	ADJ
ijassa-1300	218	116	negative	negative	ADJ
ijassa-1300	218	117	ratio	ratio	NOUN
ijassa-1300	218	118	enhancement	enhancement	NOUN
ijassa-1300	218	119	0.21	0.21	NUM
ijassa-1300	218	120	%	%	NOUN
ijassa-1300	218	121	1.13	1.13	NUM
ijassa-1300	218	122	%	%	NOUN
ijassa-1300	218	123	0.69	0.69	NUM
ijassa-1300	218	124	%	%	NOUN
ijassa-1300	218	125	jaccard	jaccard	ADJ
ijassa-1300	218	126	enhancement	enhancement	NOUN
ijassa-1300	218	127	2.71	2.71	NUM
ijassa-1300	218	128	%	%	NOUN
ijassa-1300	218	129	6.4	6.4	NUM
ijassa-1300	218	130	%	%	NOUN
ijassa-1300	218	131	2.24	2.24	NUM
ijassa-1300	218	132	%	%	NOUN
ijassa-1300	218	133	5	5	NUM
ijassa-1300	218	134	.	.	PUNCT
ijassa-1300	219	1	conclusion	conclusion	NOUN
ijassa-1300	219	2	image	image	NOUN
ijassa-1300	219	3	segmentation	segmentation	NOUN
ijassa-1300	219	4	is	be	AUX
ijassa-1300	219	5	a	a	DET
ijassa-1300	219	6	process	process	NOUN
ijassa-1300	219	7	of	of	ADP
ijassa-1300	219	8	dividing	divide	VERB
ijassa-1300	219	9	a	a	DET
ijassa-1300	219	10	given	give	VERB
ijassa-1300	219	11	image	image	NOUN
ijassa-1300	219	12	into	into	ADP
ijassa-1300	219	13	a	a	DET
ijassa-1300	219	14	set	set	NOUN
ijassa-1300	219	15	of	of	ADP
ijassa-1300	219	16	regions	region	NOUN
ijassa-1300	219	17	or	or	CCONJ
ijassa-1300	219	18	categories	category	NOUN
ijassa-1300	219	19	.	.	PUNCT
ijassa-1300	220	1	this	this	DET
ijassa-1300	220	2	process	process	NOUN
ijassa-1300	220	3	aims	aim	VERB
ijassa-1300	220	4	to	to	PART
ijassa-1300	220	5	understand	understand	VERB
ijassa-1300	220	6	the	the	DET
ijassa-1300	220	7	image	image	NOUN
ijassa-1300	220	8	and	and	CCONJ
ijassa-1300	220	9	extraction	extraction	NOUN
ijassa-1300	220	10	information	information	NOUN
ijassa-1300	220	11	from	from	ADP
ijassa-1300	220	12	a	a	DET
ijassa-1300	220	13	particular	particular	ADJ
ijassa-1300	220	14	image	image	NOUN
ijassa-1300	220	15	to	to	PART
ijassa-1300	220	16	accomplish	accomplish	VERB
ijassa-1300	220	17	certain	certain	ADJ
ijassa-1300	220	18	tasks	task	NOUN
ijassa-1300	220	19	.	.	PUNCT
ijassa-1300	221	1	thus	thus	ADV
ijassa-1300	221	2	,	,	PUNCT
ijassa-1300	221	3	image	image	NOUN
ijassa-1300	221	4	segmentation	segmentation	NOUN
ijassa-1300	221	5	has	have	VERB
ijassa-1300	221	6	important	important	ADJ
ijassa-1300	221	7	applications	application	NOUN
ijassa-1300	221	8	in	in	ADP
ijassa-1300	221	9	digital	digital	ADJ
ijassa-1300	221	10	image	image	NOUN
ijassa-1300	221	11	technology	technology	NOUN
ijassa-1300	221	12	.	.	PUNCT
ijassa-1300	222	1	recently	recently	ADV
ijassa-1300	222	2	,	,	PUNCT
ijassa-1300	222	3	image	image	NOUN
ijassa-1300	222	4	segmentation	segmentation	NOUN
ijassa-1300	222	5	has	have	AUX
ijassa-1300	222	6	emerged	emerge	VERB
ijassa-1300	222	7	as	as	ADP
ijassa-1300	222	8	one	one	NUM
ijassa-1300	222	9	of	of	ADP
ijassa-1300	222	10	the	the	DET
ijassa-1300	222	11	hotspots	hotspot	NOUN
ijassa-1300	222	12	in	in	ADP
ijassa-1300	222	13	image	image	NOUN
ijassa-1300	222	14	processing	processing	NOUN
ijassa-1300	222	15	and	and	CCONJ
ijassa-1300	222	16	computer	computer	NOUN
ijassa-1300	222	17	vision	vision	NOUN
ijassa-1300	222	18	and	and	CCONJ
ijassa-1300	222	19	is	be	AUX
ijassa-1300	222	20	an	an	DET
ijassa-1300	222	21	important	important	ADJ
ijassa-1300	222	22	basis	basis	NOUN
ijassa-1300	222	23	for	for	ADP
ijassa-1300	222	24	image	image	NOUN
ijassa-1300	222	25	recognition	recognition	NOUN
ijassa-1300	222	26	.	.	PUNCT
ijassa-1300	223	1	the	the	DET
ijassa-1300	223	2	metaheuristic	metaheuristic	ADJ
ijassa-1300	223	3	optimization	optimization	NOUN
ijassa-1300	223	4	algorithm	algorithm	NOUN
ijassa-1300	223	5	is	be	AUX
ijassa-1300	223	6	the	the	DET
ijassa-1300	223	7	most	most	ADV
ijassa-1300	223	8	popular	popular	ADJ
ijassa-1300	223	9	algorithm	algorithm	NOUN
ijassa-1300	223	10	for	for	ADP
ijassa-1300	223	11	image	image	NOUN
ijassa-1300	223	12	segmentation	segmentation	NOUN
ijassa-1300	223	13	.	.	PUNCT
ijassa-1300	224	1	ga	ga	PROPN
ijassa-1300	224	2	and	and	CCONJ
ijassa-1300	224	3	cs	cs	PROPN
ijassa-1300	224	4	algorithm	algorithm	NOUN
ijassa-1300	224	5	are	be	AUX
ijassa-1300	224	6	among	among	ADP
ijassa-1300	224	7	the	the	DET
ijassa-1300	224	8	most	most	ADV
ijassa-1300	224	9	popular	popular	ADJ
ijassa-1300	224	10	metaheuristic	metaheuristic	ADJ
ijassa-1300	224	11	algorithms	algorithm	NOUN
ijassa-1300	224	12	.	.	PUNCT
ijassa-1300	225	1	in	in	ADP
ijassa-1300	225	2	this	this	DET
ijassa-1300	225	3	study	study	NOUN
ijassa-1300	225	4	,	,	PUNCT
ijassa-1300	225	5	a	a	DET
ijassa-1300	225	6	hybrid	hybrid	ADJ
ijassa-1300	225	7	csga	csga	NOUN
ijassa-1300	225	8	performed	perform	VERB
ijassa-1300	225	9	image	image	NOUN
ijassa-1300	225	10	segmentation	segmentation	NOUN
ijassa-1300	225	11	to	to	PART
ijassa-1300	225	12	combine	combine	VERB
ijassa-1300	225	13	the	the	DET
ijassa-1300	225	14	advantages	advantage	NOUN
ijassa-1300	225	15	of	of	ADP
ijassa-1300	225	16	ga	ga	PROPN
ijassa-1300	225	17	175	175	NUM
ijassa-1300	225	18	semantic	semantic	ADJ
ijassa-1300	225	19	image	image	NOUN
ijassa-1300	225	20	segmentation	segmentation	NOUN
ijassa-1300	225	21	using	use	VERB
ijassa-1300	225	22	a	a	DET
ijassa-1300	225	23	hybrid	hybrid	NOUN
ijassa-1300	225	24	…	…	PUNCT
ijassa-1300	225	25	copyright	copyright	NOUN
ijassa-1300	225	26	©	©	PROPN
ijassa-1300	225	27	2023	2023	NUM
ijassa-1300	225	28	assa	assa	NOUN
ijassa-1300	225	29	.	.	PUNCT
ijassa-1300	226	1	adv	adv	PROPN
ijassa-1300	226	2	.	.	PUNCT
ijassa-1300	227	1	in	in	ADP
ijassa-1300	227	2	systems	system	NOUN
ijassa-1300	227	3	science	science	NOUN
ijassa-1300	227	4	and	and	CCONJ
ijassa-1300	227	5	appl	appl	NOUN
ijassa-1300	227	6	.	.	PUNCT
ijassa-1300	228	1	(	(	PUNCT
ijassa-1300	228	2	2023	2023	NUM
ijassa-1300	228	3	)	)	PUNCT
ijassa-1300	228	4	and	and	CCONJ
ijassa-1300	228	5	cs	cs	PROPN
ijassa-1300	228	6	.	.	PROPN
ijassa-1300	229	1	the	the	DET
ijassa-1300	229	2	results	result	NOUN
ijassa-1300	229	3	of	of	ADP
ijassa-1300	229	4	csga	csga	PROPN
ijassa-1300	229	5	were	be	AUX
ijassa-1300	229	6	compared	compare	VERB
ijassa-1300	229	7	with	with	ADP
ijassa-1300	229	8	those	those	PRON
ijassa-1300	229	9	of	of	ADP
ijassa-1300	229	10	other	other	ADJ
ijassa-1300	229	11	popular	popular	ADJ
ijassa-1300	229	12	algorithms	algorithm	NOUN
ijassa-1300	229	13	.	.	PUNCT
ijassa-1300	230	1	overall	overall	ADV
ijassa-1300	230	2	,	,	PUNCT
ijassa-1300	230	3	the	the	DET
ijassa-1300	230	4	simulation	simulation	NOUN
ijassa-1300	230	5	results	result	NOUN
ijassa-1300	230	6	of	of	ADP
ijassa-1300	230	7	the	the	DET
ijassa-1300	230	8	statistical	statistical	ADJ
ijassa-1300	230	9	measures	measure	NOUN
ijassa-1300	230	10	of	of	ADP
ijassa-1300	230	11	the	the	DET
ijassa-1300	230	12	performance	performance	NOUN
ijassa-1300	230	13	corroborate	corroborate	VERB
ijassa-1300	230	14	that	that	SCONJ
ijassa-1300	230	15	csga	csga	PROPN
ijassa-1300	230	16	outperforms	outperform	NOUN
ijassa-1300	230	17	fcm	fcm	X
ijassa-1300	230	18	,	,	PUNCT
ijassa-1300	230	19	k	k	NOUN
ijassa-1300	230	20	-	-	PUNCT
ijassa-1300	230	21	means	mean	NOUN
ijassa-1300	230	22	,	,	PUNCT
ijassa-1300	230	23	and	and	CCONJ
ijassa-1300	230	24	ga	ga	PROPN
ijassa-1300	230	25	.	.	PROPN
ijassa-1300	230	26	references	reference	NOUN
ijassa-1300	230	27	1	1	NUM
ijassa-1300	230	28	.	.	PUNCT
ijassa-1300	231	1	abu	abu	PROPN
ijassa-1300	231	2	-	-	PUNCT
ijassa-1300	231	3	srhan	srhan	PROPN
ijassa-1300	231	4	,	,	PUNCT
ijassa-1300	231	5	a.	a.	NOUN
ijassa-1300	231	6	a.	a.	PROPN
ijassa-1300	231	7	,	,	PUNCT
ijassa-1300	231	8	&	&	CCONJ
ijassa-1300	231	9	al	al	PROPN
ijassa-1300	231	10	daoud	daoud	PROPN
ijassa-1300	231	11	,	,	PUNCT
ijassa-1300	231	12	e.	e.	PROPN
ijassa-1300	231	13	(	(	PUNCT
ijassa-1300	231	14	2013	2013	NUM
ijassa-1300	231	15	)	)	PUNCT
ijassa-1300	231	16	.	.	PUNCT
ijassa-1300	232	1	a	a	DET
ijassa-1300	232	2	hybrid	hybrid	ADJ
ijassa-1300	232	3	algorithm	algorithm	NOUN
ijassa-1300	232	4	using	use	VERB
ijassa-1300	232	5	a	a	DET
ijassa-1300	232	6	genetic	genetic	ADJ
ijassa-1300	232	7	algorithm	algorithm	NOUN
ijassa-1300	232	8	and	and	CCONJ
ijassa-1300	232	9	cuckoo	cuckoo	NOUN
ijassa-1300	232	10	search	search	NOUN
ijassa-1300	232	11	algorithm	algorithm	NOUN
ijassa-1300	232	12	to	to	PART
ijassa-1300	232	13	solve	solve	VERB
ijassa-1300	232	14	the	the	DET
ijassa-1300	232	15	traveling	travel	VERB
ijassa-1300	232	16	salesman	salesman	ADJ
ijassa-1300	232	17	problem	problem	NOUN
ijassa-1300	232	18	and	and	CCONJ
ijassa-1300	232	19	its	its	PRON
ijassa-1300	232	20	application	application	NOUN
ijassa-1300	232	21	to	to	ADP
ijassa-1300	232	22	multiple	multiple	ADJ
ijassa-1300	232	23	sequence	sequence	NOUN
ijassa-1300	232	24	alignment	alignment	NOUN
ijassa-1300	232	25	,	,	PUNCT
ijassa-1300	232	26	space	space	NOUN
ijassa-1300	232	27	,	,	PUNCT
ijassa-1300	232	28	61	61	NUM
ijassa-1300	232	29	.	.	NOUN
ijassa-1300	232	30	2	2	NUM
ijassa-1300	232	31	.	.	X
ijassa-1300	232	32	bosch	bosch	PROPN
ijassa-1300	232	33	,	,	PUNCT
ijassa-1300	232	34	m.	m.	NOUN
ijassa-1300	232	35	,	,	PUNCT
ijassa-1300	232	36	et	et	PROPN
ijassa-1300	232	37	al	al	PROPN
ijassa-1300	232	38	.	.	PUNCT
ijassa-1300	233	1	(	(	PUNCT
ijassa-1300	233	2	2018	2018	NUM
ijassa-1300	233	3	)	)	PUNCT
ijassa-1300	233	4	.	.	PUNCT
ijassa-1300	234	1	improved	improve	VERB
ijassa-1300	234	2	image	image	NOUN
ijassa-1300	234	3	segmentation	segmentation	NOUN
ijassa-1300	234	4	via	via	ADP
ijassa-1300	234	5	cost	cost	NOUN
ijassa-1300	234	6	minimization	minimization	NOUN
ijassa-1300	234	7	of	of	ADP
ijassa-1300	234	8	multiple	multiple	ADJ
ijassa-1300	234	9	hypotheses	hypothesis	NOUN
ijassa-1300	234	10	.	.	PUNCT
ijassa-1300	235	1	arxiv	arxiv	NOUN
ijassa-1300	235	2	:	:	PUNCT
ijassa-1300	235	3	1802.00088	1802.00088	NUM
ijassa-1300	235	4	,	,	PUNCT
ijassa-1300	236	1	[	[	X
ijassa-1300	236	2	online	online	X
ijassa-1300	236	3	]	]	X
ijassa-1300	236	4	,	,	PUNCT
ijassa-1300	236	5	available	available	ADJ
ijassa-1300	236	6	:	:	PUNCT
ijassa-1300	236	7	https://arxiv.org/abs/1802.00088	https://arxiv.org/abs/1802.00088	NOUN
ijassa-1300	236	8	.	.	PUNCT
ijassa-1300	237	1	3	3	X
ijassa-1300	237	2	.	.	X
ijassa-1300	237	3	burney	burney	PROPN
ijassa-1300	237	4	,	,	PUNCT
ijassa-1300	237	5	s.	s.	PROPN
ijassa-1300	237	6	m.	m.	PROPN
ijassa-1300	237	7	a.	a.	PROPN
ijassa-1300	237	8	,	,	PUNCT
ijassa-1300	237	9	&	&	CCONJ
ijassa-1300	237	10	humera	humera	NOUN
ijassa-1300	237	11	,	,	PUNCT
ijassa-1300	237	12	t.	t.	PROPN
ijassa-1300	237	13	(	(	PUNCT
ijassa-1300	237	14	2014	2014	NUM
ijassa-1300	237	15	)	)	PUNCT
ijassa-1300	237	16	.	.	PUNCT
ijassa-1300	238	1	k	k	X
ijassa-1300	238	2	-	-	PUNCT
ijassa-1300	238	3	means	mean	VERB
ijassa-1300	238	4	cluster	cluster	NOUN
ijassa-1300	238	5	analysis	analysis	NOUN
ijassa-1300	238	6	for	for	ADP
ijassa-1300	238	7	image	image	NOUN
ijassa-1300	238	8	segmentation	segmentation	NOUN
ijassa-1300	238	9	,	,	PUNCT
ijassa-1300	238	10	international	international	ADJ
ijassa-1300	238	11	journal	journal	NOUN
ijassa-1300	238	12	of	of	ADP
ijassa-1300	238	13	computer	computer	NOUN
ijassa-1300	238	14	applications	application	NOUN
ijassa-1300	238	15	,	,	PUNCT
ijassa-1300	238	16	96(4	96(4	NOUN
ijassa-1300	238	17	)	)	PUNCT
ijassa-1300	238	18	,	,	PUNCT
ijassa-1300	238	19	1–8	1–8	X
ijassa-1300	238	20	.	.	PROPN
ijassa-1300	238	21	4	4	NUM
ijassa-1300	238	22	.	.	X
ijassa-1300	238	23	davis	davis	PROPN
ijassa-1300	238	24	,	,	PUNCT
ijassa-1300	238	25	l.	l.	PROPN
ijassa-1300	238	26	s.	s.	PROPN
ijassa-1300	238	27	(	(	PUNCT
ijassa-1300	238	28	1975	1975	NUM
ijassa-1300	238	29	)	)	PUNCT
ijassa-1300	238	30	.	.	PUNCT
ijassa-1300	239	1	a	a	DET
ijassa-1300	239	2	survey	survey	NOUN
ijassa-1300	239	3	of	of	ADP
ijassa-1300	239	4	edge	edge	NOUN
ijassa-1300	239	5	detection	detection	NOUN
ijassa-1300	239	6	techniques	technique	NOUN
ijassa-1300	239	7	,	,	PUNCT
ijassa-1300	239	8	computer	computer	NOUN
ijassa-1300	239	9	graphics	graphic	NOUN
ijassa-1300	239	10	and	and	CCONJ
ijassa-1300	239	11	image	image	NOUN
ijassa-1300	239	12	processing	processing	NOUN
ijassa-1300	239	13	,	,	PUNCT
ijassa-1300	239	14	4(3	4(3	NUM
ijassa-1300	239	15	)	)	PUNCT
ijassa-1300	239	16	,	,	PUNCT
ijassa-1300	239	17	248–270	248–270	NUM
ijassa-1300	239	18	.	.	PUNCT
ijassa-1300	240	1	5	5	NUM
ijassa-1300	240	2	.	.	X
ijassa-1300	240	3	davis	davis	PROPN
ijassa-1300	240	4	,	,	PUNCT
ijassa-1300	240	5	l.	l.	PROPN
ijassa-1300	240	6	s.	s.	PROPN
ijassa-1300	240	7	,	,	PUNCT
ijassa-1300	240	8	rosenfeld	rosenfeld	PROPN
ijassa-1300	240	9	,	,	PUNCT
ijassa-1300	240	10	a.	a.	PROPN
ijassa-1300	240	11	,	,	PUNCT
ijassa-1300	240	12	&	&	CCONJ
ijassa-1300	240	13	weszka	weszka	PROPN
ijassa-1300	240	14	,	,	PUNCT
ijassa-1300	240	15	j.	j.	PROPN
ijassa-1300	240	16	s.	s.	PROPN
ijassa-1300	240	17	(	(	PUNCT
ijassa-1300	240	18	1975	1975	NUM
ijassa-1300	240	19	)	)	PUNCT
ijassa-1300	240	20	.	.	PUNCT
ijassa-1300	241	1	region	region	NOUN
ijassa-1300	241	2	extraction	extraction	NOUN
ijassa-1300	241	3	by	by	ADP
ijassa-1300	241	4	averaging	average	VERB
ijassa-1300	241	5	and	and	CCONJ
ijassa-1300	241	6	thresholding	thresholding	NOUN
ijassa-1300	241	7	,	,	PUNCT
ijassa-1300	241	8	ieee	ieee	NOUN
ijassa-1300	241	9	transactions	transaction	NOUN
ijassa-1300	241	10	on	on	ADP
ijassa-1300	241	11	systems	system	NOUN
ijassa-1300	241	12	,	,	PUNCT
ijassa-1300	241	13	man	man	NOUN
ijassa-1300	241	14	,	,	PUNCT
ijassa-1300	241	15	and	and	CCONJ
ijassa-1300	241	16	cybernetics	cybernetic	NOUN
ijassa-1300	241	17	,	,	PUNCT
ijassa-1300	241	18	smc-5(3	smc-5(3	PROPN
ijassa-1300	241	19	)	)	PUNCT
ijassa-1300	241	20	,	,	PUNCT
ijassa-1300	241	21	383–388	383–388	NUM
ijassa-1300	241	22	.	.	NOUN
ijassa-1300	241	23	6	6	NUM
ijassa-1300	241	24	.	.	X
ijassa-1300	241	25	deb	deb	PROPN
ijassa-1300	241	26	,	,	PUNCT
ijassa-1300	241	27	k.	k.	PROPN
ijassa-1300	241	28	,	,	PUNCT
ijassa-1300	241	29	pratap	pratap	PROPN
ijassa-1300	241	30	,	,	PUNCT
ijassa-1300	241	31	a.	a.	PROPN
ijassa-1300	241	32	,	,	PUNCT
ijassa-1300	241	33	agarwal	agarwal	PROPN
ijassa-1300	241	34	,	,	PUNCT
ijassa-1300	241	35	s.	s.	PROPN
ijassa-1300	241	36	,	,	PUNCT
ijassa-1300	241	37	&	&	CCONJ
ijassa-1300	241	38	meyarivan	meyarivan	PROPN
ijassa-1300	241	39	,	,	PUNCT
ijassa-1300	241	40	t.	t.	PROPN
ijassa-1300	241	41	a.	a.	NOUN
ijassa-1300	241	42	m.	m.	PROPN
ijassa-1300	241	43	t.	t.	PROPN
ijassa-1300	241	44	(	(	PUNCT
ijassa-1300	241	45	2002	2002	NUM
ijassa-1300	241	46	)	)	PUNCT
ijassa-1300	241	47	.	.	PUNCT
ijassa-1300	242	1	a	a	DET
ijassa-1300	242	2	fast	fast	ADJ
ijassa-1300	242	3	and	and	CCONJ
ijassa-1300	242	4	elitist	elitist	ADJ
ijassa-1300	242	5	multiobjective	multiobjective	ADJ
ijassa-1300	242	6	genetic	genetic	ADJ
ijassa-1300	242	7	algorithm	algorithm	NOUN
ijassa-1300	242	8	:	:	PUNCT
ijassa-1300	242	9	nsga	nsga	PROPN
ijassa-1300	242	10	-	-	PUNCT
ijassa-1300	242	11	ii	ii	PROPN
ijassa-1300	242	12	.	.	PUNCT
ijassa-1300	243	1	ieee	ieee	NOUN
ijassa-1300	243	2	transactions	transaction	NOUN
ijassa-1300	243	3	on	on	ADP
ijassa-1300	243	4	evolutionary	evolutionary	ADJ
ijassa-1300	243	5	computation	computation	NOUN
ijassa-1300	243	6	,	,	PUNCT
ijassa-1300	243	7	6(2	6(2	NUM
ijassa-1300	243	8	)	)	PUNCT
ijassa-1300	243	9	,	,	PUNCT
ijassa-1300	243	10	182–197	182–197	NUM
ijassa-1300	243	11	.	.	PUNCT
ijassa-1300	244	1	7	7	X
ijassa-1300	244	2	.	.	X
ijassa-1300	244	3	flores	flores	PROPN
ijassa-1300	244	4	,	,	PUNCT
ijassa-1300	244	5	a.	a.	PROPN
ijassa-1300	244	6	w.	w.	PROPN
ijassa-1300	244	7	,	,	PUNCT
ijassa-1300	244	8	bechtel	bechtel	PROPN
ijassa-1300	244	9	,	,	PUNCT
ijassa-1300	244	10	k.	k.	PROPN
ijassa-1300	244	11	,	,	PUNCT
ijassa-1300	244	12	&	&	CCONJ
ijassa-1300	244	13	lowenkamp	lowenkamp	PROPN
ijassa-1300	244	14	,	,	PUNCT
ijassa-1300	244	15	c.	c.	PROPN
ijassa-1300	244	16	t.	t.	PROPN
ijassa-1300	244	17	(	(	PUNCT
ijassa-1300	244	18	2016	2016	NUM
ijassa-1300	244	19	)	)	PUNCT
ijassa-1300	244	20	.	.	PUNCT
ijassa-1300	245	1	false	false	ADJ
ijassa-1300	245	2	positives	positive	NOUN
ijassa-1300	245	3	,	,	PUNCT
ijassa-1300	245	4	false	false	ADJ
ijassa-1300	245	5	negatives	negative	NOUN
ijassa-1300	245	6	,	,	PUNCT
ijassa-1300	245	7	and	and	CCONJ
ijassa-1300	245	8	false	false	ADJ
ijassa-1300	245	9	analyses	analysis	NOUN
ijassa-1300	245	10	:	:	PUNCT
ijassa-1300	245	11	a	a	DET
ijassa-1300	245	12	rejoinder	rejoinder	NOUN
ijassa-1300	245	13	to	to	ADP
ijassa-1300	245	14	“	"	PUNCT
ijassa-1300	245	15	machine	machine	NOUN
ijassa-1300	245	16	bias	bias	NOUN
ijassa-1300	245	17	:	:	PUNCT
ijassa-1300	245	18	there	there	PRON
ijassa-1300	245	19	's	be	VERB
ijassa-1300	245	20	software	software	NOUN
ijassa-1300	245	21	used	use	VERB
ijassa-1300	245	22	across	across	ADP
ijassa-1300	245	23	the	the	DET
ijassa-1300	245	24	country	country	NOUN
ijassa-1300	245	25	to	to	PART
ijassa-1300	245	26	predict	predict	VERB
ijassa-1300	245	27	future	future	ADJ
ijassa-1300	245	28	criminals	criminal	NOUN
ijassa-1300	245	29	.	.	PUNCT
ijassa-1300	246	1	and	and	CCONJ
ijassa-1300	246	2	it	it	PRON
ijassa-1300	246	3	's	be	AUX
ijassa-1300	246	4	biased	bias	VERB
ijassa-1300	246	5	against	against	ADP
ijassa-1300	246	6	blacks	black	NOUN
ijassa-1300	246	7	”	"	PUNCT
ijassa-1300	246	8	,	,	PUNCT
ijassa-1300	246	9	fed	fed	PROPN
ijassa-1300	246	10	.	.	PROPN
ijassa-1300	247	1	probation	probation	PROPN
ijassa-1300	247	2	,	,	PUNCT
ijassa-1300	247	3	80(2	80(2	NUM
ijassa-1300	247	4	)	)	PUNCT
ijassa-1300	247	5	,	,	PUNCT
ijassa-1300	247	6	38	38	NUM
ijassa-1300	247	7	.	.	NOUN
ijassa-1300	247	8	8	8	NUM
ijassa-1300	247	9	.	.	X
ijassa-1300	248	1	glover	glover	PROPN
ijassa-1300	248	2	,	,	PUNCT
ijassa-1300	248	3	f.	f.	PROPN
ijassa-1300	248	4	w.	w.	PROPN
ijassa-1300	248	5	,	,	PUNCT
ijassa-1300	248	6	&	&	CCONJ
ijassa-1300	248	7	kochenberger	kochenberger	PROPN
ijassa-1300	248	8	,	,	PUNCT
ijassa-1300	248	9	g.	g.	PROPN
ijassa-1300	248	10	a.	a.	PROPN
ijassa-1300	248	11	(	(	PUNCT
ijassa-1300	248	12	2006	2006	NUM
ijassa-1300	248	13	)	)	PUNCT
ijassa-1300	248	14	.	.	PUNCT
ijassa-1300	249	1	handbook	handbook	NOUN
ijassa-1300	249	2	of	of	ADP
ijassa-1300	249	3	metaheuristics	metaheuristic	NOUN
ijassa-1300	249	4	.	.	PUNCT
ijassa-1300	250	1	springer	springer	NOUN
ijassa-1300	250	2	science	science	PROPN
ijassa-1300	250	3	&	&	CCONJ
ijassa-1300	250	4	business	business	NOUN
ijassa-1300	250	5	media	medium	NOUN
ijassa-1300	250	6	.	.	PUNCT
ijassa-1300	251	1	9	9	X
ijassa-1300	251	2	.	.	X
ijassa-1300	251	3	horn	horn	NOUN
ijassa-1300	251	4	,	,	PUNCT
ijassa-1300	251	5	r.	r.	PROPN
ijassa-1300	251	6	a.	a.	PROPN
ijassa-1300	251	7	(	(	PUNCT
ijassa-1300	251	8	1990	1990	NUM
ijassa-1300	251	9	)	)	PUNCT
ijassa-1300	251	10	.	.	PUNCT
ijassa-1300	252	1	the	the	DET
ijassa-1300	252	2	hadamard	hadamard	ADJ
ijassa-1300	252	3	product	product	NOUN
ijassa-1300	252	4	.	.	PUNCT
ijassa-1300	253	1	proc	proc	NOUN
ijassa-1300	253	2	.	.	PUNCT
ijassa-1300	254	1	symp	symp	PROPN
ijassa-1300	254	2	.	.	PUNCT
ijassa-1300	255	1	appl	appl	PROPN
ijassa-1300	255	2	.	.	PROPN
ijassa-1300	255	3	math	math	PROPN
ijassa-1300	255	4	,	,	PUNCT
ijassa-1300	255	5	40	40	NUM
ijassa-1300	255	6	,	,	PUNCT
ijassa-1300	255	7	87–169	87–169	NUM
ijassa-1300	255	8	.	.	NOUN
ijassa-1300	255	9	10	10	NUM
ijassa-1300	255	10	.	.	PUNCT
ijassa-1300	256	1	joshi	joshi	PROPN
ijassa-1300	256	2	,	,	PUNCT
ijassa-1300	256	3	a.	a.	PROPN
ijassa-1300	256	4	s.	s.	PROPN
ijassa-1300	256	5	,	,	PUNCT
ijassa-1300	256	6	kulkarni	kulkarni	PROPN
ijassa-1300	256	7	,	,	PUNCT
ijassa-1300	256	8	o.	o.	PROPN
ijassa-1300	256	9	,	,	PUNCT
ijassa-1300	256	10	kakandikar	kakandikar	PROPN
ijassa-1300	256	11	,	,	PUNCT
ijassa-1300	256	12	g.	g.	PROPN
ijassa-1300	256	13	m.	m.	PROPN
ijassa-1300	256	14	,	,	PUNCT
ijassa-1300	256	15	&	&	CCONJ
ijassa-1300	256	16	nandedkar	nandedkar	PROPN
ijassa-1300	256	17	,	,	PUNCT
ijassa-1300	256	18	v.	v.	ADP
ijassa-1300	256	19	m.	m.	NOUN
ijassa-1300	256	20	(	(	PUNCT
ijassa-1300	256	21	2017	2017	NUM
ijassa-1300	256	22	)	)	PUNCT
ijassa-1300	256	23	.	.	PUNCT
ijassa-1300	257	1	cuckoo	cuckoo	NOUN
ijassa-1300	257	2	search	search	NOUN
ijassa-1300	257	3	optimization	optimization	NOUN
ijassa-1300	257	4	-	-	PUNCT
ijassa-1300	257	5	a	a	DET
ijassa-1300	257	6	review	review	NOUN
ijassa-1300	257	7	,	,	PUNCT
ijassa-1300	257	8	materials	material	NOUN
ijassa-1300	257	9	today	today	NOUN
ijassa-1300	257	10	:	:	PUNCT
ijassa-1300	257	11	proceedings	proceeding	NOUN
ijassa-1300	257	12	,	,	PUNCT
ijassa-1300	257	13	4(8	4(8	NUM
ijassa-1300	257	14	)	)	PUNCT
ijassa-1300	257	15	,	,	PUNCT
ijassa-1300	257	16	7262–7269	7262–7269	NUM
ijassa-1300	257	17	.	.	NOUN
ijassa-1300	257	18	11	11	NUM
ijassa-1300	257	19	.	.	X
ijassa-1300	258	1	kachouri	kachouri	PROPN
ijassa-1300	258	2	,	,	PUNCT
ijassa-1300	258	3	r.	r.	PROPN
ijassa-1300	258	4	,	,	PUNCT
ijassa-1300	258	5	soua	soua	PROPN
ijassa-1300	258	6	,	,	PUNCT
ijassa-1300	258	7	m.	m.	NOUN
ijassa-1300	258	8	,	,	PUNCT
ijassa-1300	258	9	&	&	CCONJ
ijassa-1300	258	10	akil	akil	PROPN
ijassa-1300	258	11	,	,	PUNCT
ijassa-1300	258	12	m.	m.	NOUN
ijassa-1300	258	13	(	(	PUNCT
ijassa-1300	258	14	2016	2016	NUM
ijassa-1300	258	15	)	)	PUNCT
ijassa-1300	258	16	.	.	PUNCT
ijassa-1300	259	1	unsupervised	unsupervised	ADJ
ijassa-1300	259	2	image	image	NOUN
ijassa-1300	259	3	segmentation	segmentation	NOUN
ijassa-1300	259	4	based	base	VERB
ijassa-1300	259	5	on	on	ADP
ijassa-1300	259	6	local	local	ADJ
ijassa-1300	259	7	pixel	pixel	NOUN
ijassa-1300	259	8	clustering	cluster	VERB
ijassa-1300	259	9	and	and	CCONJ
ijassa-1300	259	10	low	low	ADJ
ijassa-1300	259	11	-	-	PUNCT
ijassa-1300	259	12	level	level	NOUN
ijassa-1300	259	13	region	region	NOUN
ijassa-1300	259	14	merging	merging	NOUN
ijassa-1300	259	15	.	.	PUNCT
ijassa-1300	260	1	proc	proc	PROPN
ijassa-1300	260	2	.	.	PUNCT
ijassa-1300	261	1	of	of	ADP
ijassa-1300	261	2	2nd	2nd	ADJ
ijassa-1300	261	3	international	international	ADJ
ijassa-1300	261	4	conference	conference	NOUN
ijassa-1300	261	5	on	on	ADP
ijassa-1300	261	6	advanced	advanced	ADJ
ijassa-1300	261	7	technologies	technology	NOUN
ijassa-1300	261	8	for	for	ADP
ijassa-1300	261	9	signal	signal	NOUN
ijassa-1300	261	10	and	and	CCONJ
ijassa-1300	261	11	image	image	NOUN
ijassa-1300	261	12	processing	processing	NOUN
ijassa-1300	261	13	(	(	PUNCT
ijassa-1300	261	14	atsip	atsip	NOUN
ijassa-1300	261	15	)	)	PUNCT
ijassa-1300	261	16	,	,	PUNCT
ijassa-1300	261	17	monastir	monastir	PROPN
ijassa-1300	261	18	,	,	PUNCT
ijassa-1300	261	19	tunisia	tunisia	NOUN
ijassa-1300	261	20	,	,	PUNCT
ijassa-1300	261	21	177–182	177–182	NUM
ijassa-1300	261	22	.	.	PUNCT
ijassa-1300	261	23	12	12	NUM
ijassa-1300	261	24	.	.	PUNCT
ijassa-1300	262	1	kaur	kaur	PROPN
ijassa-1300	262	2	,	,	PUNCT
ijassa-1300	262	3	d.	d.	PROPN
ijassa-1300	262	4	,	,	PUNCT
ijassa-1300	262	5	&	&	CCONJ
ijassa-1300	262	6	kaur	kaur	PROPN
ijassa-1300	262	7	,	,	PUNCT
ijassa-1300	262	8	y.	y.	PROPN
ijassa-1300	262	9	(	(	PUNCT
ijassa-1300	262	10	2014	2014	NUM
ijassa-1300	262	11	)	)	PUNCT
ijassa-1300	262	12	.	.	PUNCT
ijassa-1300	263	1	intelligent	intelligent	ADJ
ijassa-1300	263	2	medical	medical	ADJ
ijassa-1300	263	3	image	image	NOUN
ijassa-1300	263	4	segmentation	segmentation	NOUN
ijassa-1300	263	5	using	use	VERB
ijassa-1300	263	6	fcm	fcm	PROPN
ijassa-1300	263	7	,	,	PUNCT
ijassa-1300	263	8	ga	ga	PROPN
ijassa-1300	263	9	and	and	CCONJ
ijassa-1300	263	10	pso	pso	NOUN
ijassa-1300	263	11	,	,	PUNCT
ijassa-1300	263	12	international	international	ADJ
ijassa-1300	263	13	journal	journal	NOUN
ijassa-1300	263	14	of	of	ADP
ijassa-1300	263	15	computer	computer	NOUN
ijassa-1300	263	16	science	science	NOUN
ijassa-1300	263	17	and	and	CCONJ
ijassa-1300	263	18	information	information	NOUN
ijassa-1300	263	19	technologies	technology	NOUN
ijassa-1300	263	20	,	,	PUNCT
ijassa-1300	263	21	5(5	5(5	NUM
ijassa-1300	263	22	)	)	PUNCT
ijassa-1300	263	23	,	,	PUNCT
ijassa-1300	263	24	6089–6093	6089–6093	NUM
ijassa-1300	263	25	.	.	PUNCT
ijassa-1300	264	1	13	13	NUM
ijassa-1300	264	2	.	.	PUNCT
ijassa-1300	265	1	maru	maru	PROPN
ijassa-1300	265	2	,	,	PUNCT
ijassa-1300	265	3	d.	d.	PROPN
ijassa-1300	265	4	,	,	PUNCT
ijassa-1300	265	5	&	&	CCONJ
ijassa-1300	265	6	shah	shah	PROPN
ijassa-1300	265	7	,	,	PUNCT
ijassa-1300	265	8	b.	b.	PROPN
ijassa-1300	265	9	(	(	PUNCT
ijassa-1300	265	10	2013	2013	NUM
ijassa-1300	265	11	)	)	PUNCT
ijassa-1300	265	12	.	.	PUNCT
ijassa-1300	266	1	image	image	NOUN
ijassa-1300	266	2	segmentation	segmentation	NOUN
ijassa-1300	266	3	techniques	technique	NOUN
ijassa-1300	266	4	and	and	CCONJ
ijassa-1300	266	5	genetic	genetic	ADJ
ijassa-1300	266	6	algorithm	algorithm	NOUN
ijassa-1300	266	7	,	,	PUNCT
ijassa-1300	266	8	international	international	ADJ
ijassa-1300	266	9	journal	journal	NOUN
ijassa-1300	266	10	of	of	ADP
ijassa-1300	266	11	advanced	advanced	ADJ
ijassa-1300	266	12	research	research	NOUN
ijassa-1300	266	13	in	in	ADP
ijassa-1300	266	14	computer	computer	NOUN
ijassa-1300	266	15	engineering	engineering	NOUN
ijassa-1300	266	16	&	&	CCONJ
ijassa-1300	266	17	technology	technology	PROPN
ijassa-1300	266	18	,	,	PUNCT
ijassa-1300	266	19	2	2	NUM
ijassa-1300	266	20	,	,	PUNCT
ijassa-1300	266	21	2278–1323	2278–1323	NUM
ijassa-1300	266	22	.	.	PUNCT
ijassa-1300	267	1	14	14	NUM
ijassa-1300	267	2	.	.	PUNCT
ijassa-1300	268	1	melanie	melanie	PROPN
ijassa-1300	268	2	,	,	PUNCT
ijassa-1300	268	3	m.	m.	NOUN
ijassa-1300	268	4	(	(	PUNCT
ijassa-1300	268	5	1996	1996	NUM
ijassa-1300	268	6	)	)	PUNCT
ijassa-1300	268	7	.	.	PUNCT
ijassa-1300	269	1	an	an	DET
ijassa-1300	269	2	introduction	introduction	NOUN
ijassa-1300	269	3	to	to	ADP
ijassa-1300	269	4	genetic	genetic	ADJ
ijassa-1300	269	5	algorithms	algorithm	NOUN
ijassa-1300	269	6	.	.	PUNCT
ijassa-1300	270	1	cambridge	cambridge	PROPN
ijassa-1300	270	2	,	,	PUNCT
ijassa-1300	270	3	ma	ma	PROPN
ijassa-1300	270	4	:	:	PUNCT
ijassa-1300	270	5	mit	mit	PROPN
ijassa-1300	270	6	press	press	NOUN
ijassa-1300	270	7	.	.	PUNCT
ijassa-1300	271	1	15	15	NUM
ijassa-1300	271	2	.	.	X
ijassa-1300	272	1	mesejo	mesejo	PROPN
ijassa-1300	272	2	,	,	PUNCT
ijassa-1300	272	3	p.	p.	PROPN
ijassa-1300	272	4	,	,	PUNCT
ijassa-1300	272	5	ibáñez	ibáñez	PROPN
ijassa-1300	272	6	,	,	PUNCT
ijassa-1300	272	7	o.	o.	NOUN
ijassa-1300	272	8	,	,	PUNCT
ijassa-1300	272	9	cordón	cordón	NOUN
ijassa-1300	272	10	,	,	PUNCT
ijassa-1300	272	11	o.	o.	PROPN
ijassa-1300	272	12	,	,	PUNCT
ijassa-1300	272	13	&	&	CCONJ
ijassa-1300	272	14	cagnoni	cagnoni	PROPN
ijassa-1300	272	15	,	,	PUNCT
ijassa-1300	272	16	s.	s.	PROPN
ijassa-1300	272	17	(	(	PUNCT
ijassa-1300	272	18	2016	2016	NUM
ijassa-1300	272	19	)	)	PUNCT
ijassa-1300	272	20	.	.	PUNCT
ijassa-1300	273	1	a	a	DET
ijassa-1300	273	2	survey	survey	NOUN
ijassa-1300	273	3	on	on	ADP
ijassa-1300	273	4	image	image	NOUN
ijassa-1300	273	5	segmentation	segmentation	NOUN
ijassa-1300	273	6	using	use	VERB
ijassa-1300	273	7	metaheuristic	metaheuristic	ADV
ijassa-1300	273	8	-	-	PUNCT
ijassa-1300	273	9	based	base	VERB
ijassa-1300	273	10	deformable	deformable	ADJ
ijassa-1300	273	11	models	model	NOUN
ijassa-1300	273	12	:	:	PUNCT
ijassa-1300	273	13	state	state	NOUN
ijassa-1300	273	14	of	of	ADP
ijassa-1300	273	15	the	the	DET
ijassa-1300	273	16	art	art	NOUN
ijassa-1300	273	17	and	and	CCONJ
ijassa-1300	273	18	critical	critical	ADJ
ijassa-1300	273	19	analysis	analysis	NOUN
ijassa-1300	273	20	,	,	PUNCT
ijassa-1300	273	21	applied	apply	VERB
ijassa-1300	273	22	soft	soft	ADJ
ijassa-1300	273	23	computing	computing	NOUN
ijassa-1300	273	24	,	,	PUNCT
ijassa-1300	273	25	44	44	NUM
ijassa-1300	273	26	,	,	PUNCT
ijassa-1300	273	27	1–29	1–29	PROPN
ijassa-1300	273	28	.	.	PROPN
ijassa-1300	273	29	16	16	NUM
ijassa-1300	273	30	.	.	PUNCT
ijassa-1300	274	1	nerurkar	nerurkar	PROPN
ijassa-1300	274	2	,	,	PUNCT
ijassa-1300	274	3	s.	s.	PROPN
ijassa-1300	274	4	n.	n.	PROPN
ijassa-1300	274	5	(	(	PUNCT
ijassa-1300	274	6	2017	2017	NUM
ijassa-1300	274	7	)	)	PUNCT
ijassa-1300	274	8	.	.	PUNCT
ijassa-1300	275	1	brain	brain	NOUN
ijassa-1300	275	2	tumor	tumor	NOUN
ijassa-1300	275	3	detection	detection	NOUN
ijassa-1300	275	4	using	use	VERB
ijassa-1300	275	5	image	image	NOUN
ijassa-1300	275	6	segmentation	segmentation	NOUN
ijassa-1300	275	7	,	,	PUNCT
ijassa-1300	275	8	brain	brain	NOUN
ijassa-1300	275	9	,	,	PUNCT
ijassa-1300	275	10	4(4	4(4	NUM
ijassa-1300	275	11	)	)	PUNCT
ijassa-1300	275	12	.	.	PUNCT
ijassa-1300	276	1	176	176	NUM
ijassa-1300	276	2	a.	a.	NOUN
ijassa-1300	276	3	abu	abu	PROPN
ijassa-1300	276	4	srhan	srhan	PROPN
ijassa-1300	276	5	,	,	PUNCT
ijassa-1300	276	6	m.	m.	PROPN
ijassa-1300	276	7	h.	h.	PROPN
ijassa-1300	276	8	qasem	qasem	PROPN
ijassa-1300	276	9	,	,	PUNCT
ijassa-1300	276	10	h.s	h.s	PROPN
ijassa-1300	276	11	.	.	PROPN
ijassa-1300	276	12	natoureah	natoureah	PROPN
ijassa-1300	276	13	,	,	PUNCT
ijassa-1300	276	14	a.	a.	NOUN
ijassa-1300	276	15	shdaifat	shdaifat	PROPN
ijassa-1300	276	16	copyright	copyright	NOUN
ijassa-1300	276	17	©	©	PROPN
ijassa-1300	276	18	2023	2023	NUM
ijassa-1300	276	19	assa	assa	PROPN
ijassa-1300	276	20	adv	adv	PROPN
ijassa-1300	276	21	.	.	PUNCT
ijassa-1300	277	1	in	in	ADP
ijassa-1300	277	2	systems	system	NOUN
ijassa-1300	277	3	science	science	NOUN
ijassa-1300	277	4	and	and	CCONJ
ijassa-1300	277	5	appl	appl	NOUN
ijassa-1300	277	6	.	.	PUNCT
ijassa-1300	278	1	(	(	PUNCT
ijassa-1300	278	2	2023	2023	NUM
ijassa-1300	278	3	)	)	PUNCT
ijassa-1300	278	4	17	17	NUM
ijassa-1300	278	5	.	.	PUNCT
ijassa-1300	279	1	preetha	preetha	PROPN
ijassa-1300	279	2	,	,	PUNCT
ijassa-1300	279	3	m.	m.	NOUN
ijassa-1300	279	4	m.	m.	PROPN
ijassa-1300	279	5	s.	s.	PROPN
ijassa-1300	279	6	j.	j.	PROPN
ijassa-1300	279	7	,	,	PUNCT
ijassa-1300	279	8	suresh	suresh	PROPN
ijassa-1300	279	9	,	,	PUNCT
ijassa-1300	279	10	l.	l.	PROPN
ijassa-1300	279	11	p.	p.	PROPN
ijassa-1300	279	12	,	,	PUNCT
ijassa-1300	279	13	&	&	CCONJ
ijassa-1300	279	14	bosco	bosco	PROPN
ijassa-1300	279	15	,	,	PUNCT
ijassa-1300	279	16	m.	m.	PROPN
ijassa-1300	279	17	j.	j.	PROPN
ijassa-1300	279	18	(	(	PUNCT
ijassa-1300	279	19	2016	2016	NUM
ijassa-1300	279	20	)	)	PUNCT
ijassa-1300	279	21	.	.	PUNCT
ijassa-1300	280	1	region	region	NOUN
ijassa-1300	280	2	based	base	VERB
ijassa-1300	280	3	image	image	NOUN
ijassa-1300	280	4	segmentation	segmentation	NOUN
ijassa-1300	280	5	using	use	VERB
ijassa-1300	280	6	cuckoo	cuckoo	NOUN
ijassa-1300	280	7	search	search	NOUN
ijassa-1300	280	8	algorithm	algorithm	NOUN
ijassa-1300	280	9	.	.	PUNCT
ijassa-1300	281	1	journal	journal	PROPN
ijassa-1300	281	2	of	of	ADP
ijassa-1300	281	3	chemical	chemical	PROPN
ijassa-1300	281	4	and	and	CCONJ
ijassa-1300	281	5	pharmaceutical	pharmaceutical	NOUN
ijassa-1300	281	6	sciences	science	NOUN
ijassa-1300	281	7	,	,	PUNCT
ijassa-1300	281	8	9(2	9(2	NUM
ijassa-1300	281	9	)	)	PUNCT
ijassa-1300	281	10	,	,	PUNCT
ijassa-1300	281	11	884–888	884–888	NUM
ijassa-1300	281	12	.	.	PROPN
ijassa-1300	281	13	18	18	NUM
ijassa-1300	281	14	.	.	X
ijassa-1300	282	1	singh	singh	PROPN
ijassa-1300	282	2	,	,	PUNCT
ijassa-1300	282	3	v.	v.	ADV
ijassa-1300	282	4	,	,	PUNCT
ijassa-1300	282	5	&	&	CCONJ
ijassa-1300	282	6	misra	misra	PROPN
ijassa-1300	282	7	,	,	PUNCT
ijassa-1300	282	8	a.	a.	PROPN
ijassa-1300	282	9	k.	k.	PROPN
ijassa-1300	282	10	(	(	PUNCT
ijassa-1300	282	11	2017	2017	NUM
ijassa-1300	282	12	)	)	PUNCT
ijassa-1300	282	13	.	.	PUNCT
ijassa-1300	283	1	detection	detection	NOUN
ijassa-1300	283	2	of	of	ADP
ijassa-1300	283	3	plant	plant	NOUN
ijassa-1300	283	4	leaf	leaf	NOUN
ijassa-1300	283	5	diseases	disease	NOUN
ijassa-1300	283	6	using	use	VERB
ijassa-1300	283	7	image	image	NOUN
ijassa-1300	283	8	segmentation	segmentation	NOUN
ijassa-1300	283	9	and	and	CCONJ
ijassa-1300	283	10	soft	soft	ADJ
ijassa-1300	283	11	computing	computing	NOUN
ijassa-1300	283	12	techniques	technique	NOUN
ijassa-1300	283	13	,	,	PUNCT
ijassa-1300	283	14	information	information	NOUN
ijassa-1300	283	15	processing	processing	NOUN
ijassa-1300	283	16	in	in	ADP
ijassa-1300	283	17	agriculture	agriculture	NOUN
ijassa-1300	283	18	,	,	PUNCT
ijassa-1300	283	19	4(1	4(1	NOUN
ijassa-1300	283	20	)	)	PUNCT
ijassa-1300	283	21	,	,	PUNCT
ijassa-1300	283	22	41–49	41–49	NUM
ijassa-1300	283	23	.	.	PUNCT
ijassa-1300	284	1	19	19	NUM
ijassa-1300	284	2	.	.	NOUN
ijassa-1300	284	3	teknono	teknono	PROPN
ijassa-1300	284	4	,	,	PUNCT
ijassa-1300	284	5	k.	k.	PROPN
ijassa-1300	284	6	(	(	PUNCT
ijassa-1300	284	7	2015	2015	NUM
ijassa-1300	284	8	)	)	PUNCT
ijassa-1300	284	9	.	.	PUNCT
ijassa-1300	285	1	similarity	similarity	NOUN
ijassa-1300	285	2	measurement	measurement	NOUN
ijassa-1300	285	3	.	.	PUNCT
ijassa-1300	286	1	[	[	X
ijassa-1300	286	2	online	online	X
ijassa-1300	286	3	]	]	X
ijassa-1300	286	4	.	.	PUNCT
ijassa-1300	287	1	available	available	ADJ
ijassa-1300	287	2	https://people.revoledu.com/kardi/tutorial/similarity/	https://people.revoledu.com/kardi/tutorial/similarity/	PROPN
ijassa-1300	287	3	20	20	NUM
ijassa-1300	287	4	.	.	PUNCT
ijassa-1300	288	1	valian	valian	PROPN
ijassa-1300	288	2	,	,	PUNCT
ijassa-1300	288	3	e.	e.	PROPN
ijassa-1300	288	4	,	,	PUNCT
ijassa-1300	288	5	mohanna	mohanna	PROPN
ijassa-1300	288	6	,	,	PUNCT
ijassa-1300	288	7	s.	s.	PROPN
ijassa-1300	288	8	,	,	PUNCT
ijassa-1300	288	9	&	&	CCONJ
ijassa-1300	288	10	tavakoli	tavakoli	PROPN
ijassa-1300	288	11	,	,	PUNCT
ijassa-1300	288	12	s.	s.	PROPN
ijassa-1300	288	13	(	(	PUNCT
ijassa-1300	288	14	2011	2011	NUM
ijassa-1300	288	15	)	)	PUNCT
ijassa-1300	288	16	.	.	PUNCT
ijassa-1300	289	1	improved	improve	VERB
ijassa-1300	289	2	cuckoo	cuckoo	NOUN
ijassa-1300	289	3	search	search	NOUN
ijassa-1300	289	4	algorithm	algorithm	NOUN
ijassa-1300	289	5	for	for	ADP
ijassa-1300	289	6	global	global	ADJ
ijassa-1300	289	7	optimization	optimization	NOUN
ijassa-1300	289	8	,	,	PUNCT
ijassa-1300	289	9	international	international	ADJ
ijassa-1300	289	10	journal	journal	NOUN
ijassa-1300	289	11	of	of	ADP
ijassa-1300	289	12	communications	communication	NOUN
ijassa-1300	289	13	and	and	CCONJ
ijassa-1300	289	14	information	information	NOUN
ijassa-1300	289	15	technology	technology	NOUN
ijassa-1300	289	16	,	,	PUNCT
ijassa-1300	289	17	1(1	1(1	NUM
ijassa-1300	289	18	)	)	PUNCT
ijassa-1300	289	19	,	,	PUNCT
ijassa-1300	289	20	1–62	1–62	PROPN
ijassa-1300	289	21	.	.	NOUN
ijassa-1300	289	22	21	21	NUM
ijassa-1300	289	23	.	.	PUNCT
ijassa-1300	290	1	walton	walton	PROPN
ijassa-1300	290	2	,	,	PUNCT
ijassa-1300	290	3	s.	s.	PROPN
ijassa-1300	290	4	,	,	PUNCT
ijassa-1300	290	5	hassan	hassan	PROPN
ijassa-1300	290	6	,	,	PUNCT
ijassa-1300	290	7	o.	o.	PROPN
ijassa-1300	290	8	,	,	PUNCT
ijassa-1300	290	9	morgan	morgan	PROPN
ijassa-1300	290	10	,	,	PUNCT
ijassa-1300	290	11	k.	k.	PROPN
ijassa-1300	290	12	,	,	PUNCT
ijassa-1300	290	13	&	&	CCONJ
ijassa-1300	290	14	brown	brown	PROPN
ijassa-1300	290	15	,	,	PUNCT
ijassa-1300	290	16	m.	m.	PROPN
ijassa-1300	290	17	r.	r.	PROPN
ijassa-1300	290	18	(	(	PUNCT
ijassa-1300	290	19	2011	2011	NUM
ijassa-1300	290	20	)	)	PUNCT
ijassa-1300	290	21	.	.	PUNCT
ijassa-1300	291	1	modified	modify	VERB
ijassa-1300	291	2	cuckoo	cuckoo	NOUN
ijassa-1300	291	3	search	search	NOUN
ijassa-1300	291	4	:	:	PUNCT
ijassa-1300	291	5	a	a	DET
ijassa-1300	291	6	new	new	ADJ
ijassa-1300	291	7	gradient	gradient	NOUN
ijassa-1300	291	8	free	free	ADJ
ijassa-1300	291	9	optimisation	optimisation	NOUN
ijassa-1300	291	10	algorithm	algorithm	NOUN
ijassa-1300	291	11	,	,	PUNCT
ijassa-1300	291	12	chaos	chaos	NOUN
ijassa-1300	291	13	,	,	PUNCT
ijassa-1300	291	14	solitons	soliton	NOUN
ijassa-1300	291	15	&	&	CCONJ
ijassa-1300	291	16	fractals	fractal	NOUN
ijassa-1300	291	17	,	,	PUNCT
ijassa-1300	291	18	44(9	44(9	NOUN
ijassa-1300	291	19	)	)	PUNCT
ijassa-1300	291	20	,	,	PUNCT
ijassa-1300	291	21	710	710	NUM
ijassa-1300	291	22	–	–	PUNCT
ijassa-1300	291	23	718	718	NUM
ijassa-1300	291	24	.	.	PUNCT
ijassa-1300	292	1	22	22	NUM
ijassa-1300	292	2	.	.	PUNCT
ijassa-1300	293	1	wang	wang	PROPN
ijassa-1300	293	2	,	,	PUNCT
ijassa-1300	293	3	g.	g.	PROPN
ijassa-1300	293	4	,	,	PUNCT
ijassa-1300	293	5	et	et	PROPN
ijassa-1300	293	6	al	al	PROPN
ijassa-1300	293	7	.	.	PUNCT
ijassa-1300	293	8	(	(	PUNCT
ijassa-1300	293	9	2018	2018	NUM
ijassa-1300	293	10	)	)	PUNCT
ijassa-1300	293	11	.	.	PUNCT
ijassa-1300	294	1	interactive	interactive	ADJ
ijassa-1300	294	2	medical	medical	ADJ
ijassa-1300	294	3	image	image	NOUN
ijassa-1300	294	4	segmentation	segmentation	NOUN
ijassa-1300	294	5	using	use	VERB
ijassa-1300	294	6	deep	deep	ADJ
ijassa-1300	294	7	learning	learning	NOUN
ijassa-1300	294	8	with	with	ADP
ijassa-1300	294	9	image	image	NOUN
ijassa-1300	294	10	-	-	PUNCT
ijassa-1300	294	11	specific	specific	ADJ
ijassa-1300	294	12	fine	fine	ADV
ijassa-1300	294	13	-	-	PUNCT
ijassa-1300	294	14	tuning	tuning	NOUN
ijassa-1300	294	15	.	.	PUNCT
ijassa-1300	295	1	ieee	ieee	NOUN
ijassa-1300	295	2	transactions	transaction	NOUN
ijassa-1300	295	3	on	on	ADP
ijassa-1300	295	4	medical	medical	ADJ
ijassa-1300	295	5	imaging	imaging	NOUN
ijassa-1300	295	6	,	,	PUNCT
ijassa-1300	295	7	37(7	37(7	NUM
ijassa-1300	295	8	)	)	PUNCT
ijassa-1300	295	9	,	,	PUNCT
ijassa-1300	295	10	1562	1562	NUM
ijassa-1300	295	11	–	–	PUNCT
ijassa-1300	295	12	1573	1573	NUM
ijassa-1300	295	13	.	.	PUNCT
ijassa-1300	296	1	23	23	NUM
ijassa-1300	296	2	.	.	PUNCT
ijassa-1300	297	1	whitley	whitley	PROPN
ijassa-1300	297	2	,	,	PUNCT
ijassa-1300	297	3	d.	d.	PROPN
ijassa-1300	297	4	(	(	PUNCT
ijassa-1300	297	5	1994	1994	NUM
ijassa-1300	297	6	)	)	PUNCT
ijassa-1300	297	7	.	.	PUNCT
ijassa-1300	298	1	a	a	DET
ijassa-1300	298	2	genetic	genetic	ADJ
ijassa-1300	298	3	algorithm	algorithm	NOUN
ijassa-1300	298	4	tutorial	tutorial	NOUN
ijassa-1300	298	5	.	.	PUNCT
ijassa-1300	299	1	statistics	statistic	NOUN
ijassa-1300	299	2	and	and	CCONJ
ijassa-1300	299	3	computing	computing	NOUN
ijassa-1300	299	4	,	,	PUNCT
ijassa-1300	299	5	4(2	4(2	NUM
ijassa-1300	299	6	)	)	PUNCT
ijassa-1300	299	7	,	,	PUNCT
ijassa-1300	299	8	65–85	65–85	NUM
ijassa-1300	299	9	.	.	PUNCT
ijassa-1300	299	10	24	24	NUM
ijassa-1300	299	11	.	.	PUNCT
ijassa-1300	300	1	xiong	xiong	PROPN
ijassa-1300	300	2	,	,	PUNCT
ijassa-1300	300	3	n.	n.	PROPN
ijassa-1300	300	4	n.	n.	PROPN
ijassa-1300	300	5	,	,	PUNCT
ijassa-1300	300	6	shen	shen	PROPN
ijassa-1300	300	7	,	,	PUNCT
ijassa-1300	300	8	y.	y.	PROPN
ijassa-1300	300	9	,	,	PUNCT
ijassa-1300	300	10	yang	yang	PROPN
ijassa-1300	300	11	,	,	PUNCT
ijassa-1300	300	12	k.	k.	PROPN
ijassa-1300	300	13	,	,	PUNCT
ijassa-1300	300	14	lee	lee	PROPN
ijassa-1300	300	15	,	,	PUNCT
ijassa-1300	300	16	c.	c.	PROPN
ijassa-1300	300	17	,	,	PUNCT
ijassa-1300	300	18	&	&	CCONJ
ijassa-1300	300	19	wu	wu	PROPN
ijassa-1300	300	20	,	,	PUNCT
ijassa-1300	300	21	c.	c.	PROPN
ijassa-1300	300	22	(	(	PUNCT
ijassa-1300	300	23	2018	2018	NUM
ijassa-1300	300	24	)	)	PUNCT
ijassa-1300	300	25	.	.	PUNCT
ijassa-1300	301	1	color	color	NOUN
ijassa-1300	301	2	sensors	sensor	NOUN
ijassa-1300	301	3	and	and	CCONJ
ijassa-1300	301	4	their	their	PRON
ijassa-1300	301	5	applications	application	NOUN
ijassa-1300	301	6	based	base	VERB
ijassa-1300	301	7	on	on	ADP
ijassa-1300	301	8	real	real	ADJ
ijassa-1300	301	9	-	-	PUNCT
ijassa-1300	301	10	time	time	NOUN
ijassa-1300	301	11	color	color	NOUN
ijassa-1300	301	12	image	image	NOUN
ijassa-1300	301	13	segmentation	segmentation	NOUN
ijassa-1300	301	14	for	for	ADP
ijassa-1300	301	15	cyber	cyber	ADJ
ijassa-1300	301	16	physical	physical	ADJ
ijassa-1300	301	17	systems	system	NOUN
ijassa-1300	301	18	,	,	PUNCT
ijassa-1300	301	19	eurasip	eurasip	NOUN
ijassa-1300	301	20	journal	journal	PROPN
ijassa-1300	301	21	on	on	ADP
ijassa-1300	301	22	image	image	NOUN
ijassa-1300	301	23	and	and	CCONJ
ijassa-1300	301	24	video	video	NOUN
ijassa-1300	301	25	processing	processing	NOUN
ijassa-1300	301	26	,	,	PUNCT
ijassa-1300	301	27	2018(1	2018(1	NUM
ijassa-1300	301	28	)	)	PUNCT
ijassa-1300	301	29	,	,	PUNCT
ijassa-1300	301	30	23	23	NUM
ijassa-1300	301	31	.	.	X
ijassa-1300	302	1	25	25	NUM
ijassa-1300	302	2	.	.	PUNCT
ijassa-1300	303	1	yambal	yambal	PROPN
ijassa-1300	303	2	,	,	PUNCT
ijassa-1300	303	3	m.	m.	NOUN
ijassa-1300	303	4	,	,	PUNCT
ijassa-1300	303	5	&	&	CCONJ
ijassa-1300	303	6	gupta	gupta	PROPN
ijassa-1300	303	7	,	,	PUNCT
ijassa-1300	303	8	h.	h.	PROPN
ijassa-1300	303	9	(	(	PUNCT
ijassa-1300	303	10	2013	2013	NUM
ijassa-1300	303	11	)	)	PUNCT
ijassa-1300	303	12	.	.	PUNCT
ijassa-1300	304	1	image	image	NOUN
ijassa-1300	304	2	segmentation	segmentation	NOUN
ijassa-1300	304	3	using	use	VERB
ijassa-1300	304	4	fuzzy	fuzzy	ADJ
ijassa-1300	304	5	c	c	PROPN
ijassa-1300	304	6	means	mean	VERB
ijassa-1300	304	7	clustering	cluster	VERB
ijassa-1300	304	8	:	:	PUNCT
ijassa-1300	304	9	a	a	DET
ijassa-1300	304	10	survey	survey	NOUN
ijassa-1300	304	11	,	,	PUNCT
ijassa-1300	304	12	international	international	ADJ
ijassa-1300	304	13	journal	journal	NOUN
ijassa-1300	304	14	of	of	ADP
ijassa-1300	304	15	advanced	advanced	ADJ
ijassa-1300	304	16	research	research	NOUN
ijassa-1300	304	17	in	in	ADP
ijassa-1300	304	18	computer	computer	NOUN
ijassa-1300	304	19	and	and	CCONJ
ijassa-1300	304	20	communication	communication	NOUN
ijassa-1300	304	21	engineering	engineering	NOUN
ijassa-1300	304	22	,	,	PUNCT
ijassa-1300	304	23	2(7	2(7	NUM
ijassa-1300	304	24	)	)	PUNCT
ijassa-1300	304	25	.	.	PUNCT
ijassa-1300	305	1	26	26	NUM
ijassa-1300	305	2	.	.	X
ijassa-1300	305	3	yang	yang	PROPN
ijassa-1300	305	4	,	,	PUNCT
ijassa-1300	305	5	x.	x.	PROPN
ijassa-1300	305	6	s.	s.	PROPN
ijassa-1300	305	7	(	(	PUNCT
ijassa-1300	305	8	2010	2010	NUM
ijassa-1300	305	9	)	)	PUNCT
ijassa-1300	305	10	.	.	PUNCT
ijassa-1300	306	1	a	a	DET
ijassa-1300	306	2	new	new	ADJ
ijassa-1300	306	3	metaheuristic	metaheuristic	ADJ
ijassa-1300	306	4	bat	bat	NOUN
ijassa-1300	306	5	-	-	PUNCT
ijassa-1300	306	6	inspired	inspire	VERB
ijassa-1300	306	7	algorithm	algorithm	NOUN
ijassa-1300	306	8	,	,	PUNCT
ijassa-1300	306	9	studies	study	NOUN
ijassa-1300	306	10	in	in	ADP
ijassa-1300	306	11	computational	computational	ADJ
ijassa-1300	306	12	intelligence	intelligence	NOUN
ijassa-1300	306	13	,	,	PUNCT
ijassa-1300	306	14	284	284	NUM
ijassa-1300	306	15	,	,	PUNCT
ijassa-1300	306	16	65–74	65–74	NUM
ijassa-1300	306	17	.	.	NOUN
ijassa-1300	306	18	27	27	NUM
ijassa-1300	306	19	.	.	X
ijassa-1300	306	20	yang	yang	PROPN
ijassa-1300	306	21	,	,	PUNCT
ijassa-1300	306	22	x.	x.	PROPN
ijassa-1300	306	23	s.	s.	PROPN
ijassa-1300	306	24	,	,	PUNCT
ijassa-1300	306	25	&	&	CCONJ
ijassa-1300	306	26	deb	deb	PROPN
ijassa-1300	306	27	,	,	PUNCT
ijassa-1300	306	28	s.	s.	PROPN
ijassa-1300	306	29	(	(	PUNCT
ijassa-1300	306	30	2009	2009	NUM
ijassa-1300	306	31	)	)	PUNCT
ijassa-1300	306	32	.	.	PUNCT
ijassa-1300	307	1	cuckoo	cuckoo	NOUN
ijassa-1300	307	2	search	search	NOUN
ijassa-1300	307	3	via	via	ADP
ijassa-1300	307	4	levy	levy	NOUN
ijassa-1300	307	5	flights	flight	NOUN
ijassa-1300	307	6	,	,	PUNCT
ijassa-1300	307	7	proc	proc	NOUN
ijassa-1300	307	8	.	.	PROPN
ijassa-1300	308	1	of	of	ADP
ijassa-1300	308	2	world	world	PROPN
ijassa-1300	308	3	congress	congress	PROPN
ijassa-1300	308	4	on	on	ADP
ijassa-1300	308	5	nature	nature	PROPN
ijassa-1300	308	6	&	&	CCONJ
ijassa-1300	308	7	biologically	biologically	ADV
ijassa-1300	308	8	inspired	inspire	VERB
ijassa-1300	308	9	computing	computing	NOUN
ijassa-1300	308	10	,	,	PUNCT
ijassa-1300	308	11	coimbatore	coimbatore	PROPN
ijassa-1300	308	12	,	,	PUNCT
ijassa-1300	308	13	india	india	PROPN
ijassa-1300	308	14	,	,	PUNCT
ijassa-1300	308	15	210–225	210–225	NUM
ijassa-1300	308	16	.	.	PUNCT
ijassa-1300	308	17	28	28	NUM
ijassa-1300	308	18	.	.	PUNCT
ijassa-1300	309	1	zang	zang	PROPN
ijassa-1300	309	2	,	,	PUNCT
ijassa-1300	309	3	w.	w.	PROPN
ijassa-1300	309	4	,	,	PUNCT
ijassa-1300	309	5	et	et	PROPN
ijassa-1300	309	6	al	al	PROPN
ijassa-1300	309	7	.	.	PUNCT
ijassa-1300	309	8	(	(	PUNCT
ijassa-1300	309	9	2017	2017	NUM
ijassa-1300	309	10	)	)	PUNCT
ijassa-1300	309	11	.	.	PUNCT
ijassa-1300	310	1	a	a	DET
ijassa-1300	310	2	kernel	kernel	NOUN
ijassa-1300	310	3	-	-	PUNCT
ijassa-1300	310	4	based	base	VERB
ijassa-1300	310	5	intuitionistic	intuitionistic	ADJ
ijassa-1300	310	6	fuzzy	fuzzy	ADJ
ijassa-1300	310	7	c	c	NOUN
ijassa-1300	310	8	-	-	PUNCT
ijassa-1300	310	9	means	means	NOUN
ijassa-1300	310	10	clustering	clustering	NOUN
ijassa-1300	310	11	using	use	VERB
ijassa-1300	310	12	a	a	DET
ijassa-1300	310	13	dna	dna	NOUN
ijassa-1300	310	14	genetic	genetic	ADJ
ijassa-1300	310	15	algorithm	algorithm	NOUN
ijassa-1300	310	16	for	for	ADP
ijassa-1300	310	17	magnetic	magnetic	ADJ
ijassa-1300	310	18	resonance	resonance	NOUN
ijassa-1300	310	19	image	image	NOUN
ijassa-1300	310	20	segmentation	segmentation	NOUN
ijassa-1300	310	21	,	,	PUNCT
ijassa-1300	310	22	entropy	entropy	PROPN
ijassa-1300	310	23	,	,	PUNCT
ijassa-1300	310	24	19(11	19(11	NUM
ijassa-1300	310	25	)	)	PUNCT
ijassa-1300	310	26	,	,	PUNCT
ijassa-1300	310	27	578	578	NUM
ijassa-1300	310	28	.	.	PUNCT