id	sid	tid	token	lemma	pos
cana-6163	1	1	paper	paper	NOUN
cana-6163	1	2	title	title	NOUN
cana-6163	1	3	(	(	PUNCT
cana-6163	1	4	use	use	NOUN
cana-6163	1	5	style	style	NOUN
cana-6163	1	6	:	:	PUNCT
cana-6163	1	7	paper	paper	NOUN
cana-6163	1	8	title	title	NOUN
cana-6163	1	9	)	)	PUNCT
cana-6163	1	10	communications	communication	NOUN
cana-6163	1	11	on	on	ADP
cana-6163	1	12	applied	apply	VERB
cana-6163	1	13	nonlinear	nonlinear	ADJ
cana-6163	1	14	analysis	analysis	NOUN
cana-6163	1	15	issn	issn	NOUN
cana-6163	1	16	:	:	PUNCT
cana-6163	1	17	1074	1074	NUM
cana-6163	1	18	-	-	PUNCT
cana-6163	1	19	133x	133x	NUM
cana-6163	1	20	vol	vol	VERB
cana-6163	1	21	32	32	NUM
cana-6163	1	22	no	no	NOUN
cana-6163	1	23	.	.	PUNCT
cana-6163	2	1	10s	10	NOUN
cana-6163	2	2	(	(	PUNCT
cana-6163	2	3	2025	2025	NUM
cana-6163	2	4	)	)	PUNCT
cana-6163	2	5	3513	3513	NUM
cana-6163	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6163	2	7	underwater	underwater	ADJ
cana-6163	2	8	image	image	NOUN
cana-6163	2	9	quality	quality	NOUN
cana-6163	2	10	enhancement	enhancement	NOUN
cana-6163	2	11	and	and	CCONJ
cana-6163	2	12	object	object	NOUN
cana-6163	2	13	detection	detection	NOUN
cana-6163	2	14	using	use	VERB
cana-6163	2	15	deep	deep	ADJ
cana-6163	2	16	learning	learning	NOUN
cana-6163	2	17	techniques	technique	NOUN
cana-6163	2	18	1st	1st	PROPN
cana-6163	2	19	prashali	prashali	PROPN
cana-6163	2	20	ramesh	ramesh	PROPN
cana-6163	2	21	kamble	kamble	PROPN
cana-6163	2	22	department	department	PROPN
cana-6163	2	23	of	of	ADP
cana-6163	2	24	computer	computer	NOUN
cana-6163	2	25	engineering	engineering	NOUN
cana-6163	2	26	,	,	PUNCT
cana-6163	2	27	yadavrao	yadavrao	PROPN
cana-6163	2	28	tasgaonkar	tasgaonkar	PROPN
cana-6163	2	29	institute	institute	PROPN
cana-6163	2	30	of	of	ADP
cana-6163	2	31	engineering	engineering	PROPN
cana-6163	2	32	&	&	CCONJ
cana-6163	2	33	technology	technology	PROPN
cana-6163	2	34	,	,	PUNCT
cana-6163	2	35	karjat	karjat	PROPN
cana-6163	2	36	,	,	PUNCT
cana-6163	2	37	maharashtra	maharashtra	PROPN
cana-6163	2	38	,	,	PUNCT
cana-6163	2	39	india	india	PROPN
cana-6163	2	40	2nd	2nd	PROPN
cana-6163	2	41	dr	dr	PROPN
cana-6163	2	42	.	.	PROPN
cana-6163	2	43	pandharinath	pandharinath	PROPN
cana-6163	2	44	ghonge	ghonge	PROPN
cana-6163	2	45	department	department	PROPN
cana-6163	2	46	of	of	ADP
cana-6163	2	47	computer	computer	NOUN
cana-6163	2	48	engineering	engineering	NOUN
cana-6163	2	49	,	,	PUNCT
cana-6163	2	50	professor	professor	NOUN
cana-6163	2	51	,	,	PUNCT
cana-6163	2	52	electronics	electronic	NOUN
cana-6163	2	53	and	and	CCONJ
cana-6163	2	54	computer	computer	NOUN
cana-6163	2	55	science	science	NOUN
cana-6163	2	56	,	,	PUNCT
cana-6163	2	57	sjcem	sjcem	ADJ
cana-6163	2	58	,	,	PUNCT
cana-6163	2	59	palghar	palghar	ADJ
cana-6163	2	60	,	,	PUNCT
cana-6163	2	61	maharashtra	maharashtra	PROPN
cana-6163	2	62	,	,	PUNCT
cana-6163	2	63	india	india	PROPN
cana-6163	2	64	article	article	PROPN
cana-6163	2	65	history	history	NOUN
cana-6163	2	66	:	:	PUNCT
cana-6163	2	67	received	receive	VERB
cana-6163	2	68	:	:	PUNCT
cana-6163	2	69	06	06	NUM
cana-6163	2	70	-	-	SYM
cana-6163	2	71	08	08	NUM
cana-6163	2	72	-	-	PUNCT
cana-6163	2	73	2025	2025	NUM
cana-6163	2	74	revised	revise	VERB
cana-6163	2	75	:	:	PUNCT
cana-6163	2	76	27	27	NUM
cana-6163	2	77	-	-	SYM
cana-6163	2	78	09	09	NUM
cana-6163	2	79	-	-	PUNCT
cana-6163	2	80	2025	2025	NUM
cana-6163	2	81	accepted	accept	VERB
cana-6163	2	82	:	:	PUNCT
cana-6163	2	83	26	26	NUM
cana-6163	2	84	-	-	SYM
cana-6163	2	85	10	10	NUM
cana-6163	2	86	-	-	PUNCT
cana-6163	2	87	2025	2025	NUM
cana-6163	2	88	abstract	abstract	NOUN
cana-6163	2	89	:	:	PUNCT
cana-6163	2	90	underwater	underwater	NOUN
cana-6163	2	91	images	image	NOUN
cana-6163	2	92	often	often	ADV
cana-6163	2	93	suffer	suffer	VERB
cana-6163	2	94	from	from	ADP
cana-6163	2	95	poor	poor	ADJ
cana-6163	2	96	visibility	visibility	NOUN
cana-6163	2	97	,	,	PUNCT
cana-6163	2	98	low	low	ADJ
cana-6163	2	99	contrast	contrast	NOUN
cana-6163	2	100	,	,	PUNCT
cana-6163	2	101	and	and	CCONJ
cana-6163	2	102	color	color	NOUN
cana-6163	2	103	distortions	distortion	NOUN
cana-6163	2	104	due	due	ADP
cana-6163	2	105	to	to	ADP
cana-6163	2	106	light	light	ADJ
cana-6163	2	107	absorption	absorption	NOUN
cana-6163	2	108	and	and	CCONJ
cana-6163	2	109	scattering	scattering	NOUN
cana-6163	2	110	,	,	PUNCT
cana-6163	2	111	making	make	VERB
cana-6163	2	112	object	object	NOUN
cana-6163	2	113	detection	detection	NOUN
cana-6163	2	114	a	a	DET
cana-6163	2	115	challenging	challenging	ADJ
cana-6163	2	116	task	task	NOUN
cana-6163	2	117	.	.	PUNCT
cana-6163	3	1	this	this	DET
cana-6163	3	2	research	research	NOUN
cana-6163	3	3	presents	present	VERB
cana-6163	3	4	a	a	DET
cana-6163	3	5	deep	deep	ADJ
cana-6163	3	6	learning	learning	NOUN
cana-6163	3	7	-	-	PUNCT
cana-6163	3	8	based	base	VERB
cana-6163	3	9	framework	framework	NOUN
cana-6163	3	10	that	that	PRON
cana-6163	3	11	combines	combine	VERB
cana-6163	3	12	image	image	NOUN
cana-6163	3	13	enhancement	enhancement	NOUN
cana-6163	3	14	and	and	CCONJ
cana-6163	3	15	object	object	VERB
cana-6163	3	16	detection	detection	NOUN
cana-6163	3	17	to	to	PART
cana-6163	3	18	overcome	overcome	VERB
cana-6163	3	19	these	these	DET
cana-6163	3	20	limitations	limitation	NOUN
cana-6163	3	21	.	.	PUNCT
cana-6163	4	1	a	a	DET
cana-6163	4	2	unet	unet	NOUN
cana-6163	4	3	-	-	PUNCT
cana-6163	4	4	based	base	VERB
cana-6163	4	5	enhancement	enhancement	NOUN
cana-6163	4	6	model	model	NOUN
cana-6163	4	7	optimized	optimize	VERB
cana-6163	4	8	with	with	ADP
cana-6163	4	9	a	a	DET
cana-6163	4	10	hybrid	hybrid	ADJ
cana-6163	4	11	loss	loss	NOUN
cana-6163	4	12	function	function	NOUN
cana-6163	4	13	(	(	PUNCT
cana-6163	4	14	l1	l1	PROPN
cana-6163	4	15	loss	loss	NOUN
cana-6163	4	16	+	+	CCONJ
cana-6163	4	17	ssim	ssim	NOUN
cana-6163	4	18	index	index	NOUN
cana-6163	4	19	)	)	PUNCT
cana-6163	4	20	is	be	AUX
cana-6163	4	21	employed	employ	VERB
cana-6163	4	22	to	to	PART
cana-6163	4	23	restore	restore	VERB
cana-6163	4	24	visual	visual	ADJ
cana-6163	4	25	clarity	clarity	NOUN
cana-6163	4	26	and	and	CCONJ
cana-6163	4	27	improve	improve	VERB
cana-6163	4	28	structural	structural	ADJ
cana-6163	4	29	details	detail	NOUN
cana-6163	4	30	in	in	ADP
cana-6163	4	31	degraded	degraded	ADJ
cana-6163	4	32	underwater	underwater	ADJ
cana-6163	4	33	images	image	NOUN
cana-6163	4	34	.	.	PUNCT
cana-6163	5	1	the	the	DET
cana-6163	5	2	enhanced	enhance	VERB
cana-6163	5	3	outputs	output	NOUN
cana-6163	5	4	are	be	AUX
cana-6163	5	5	then	then	ADV
cana-6163	5	6	processed	process	VERB
cana-6163	5	7	using	use	VERB
cana-6163	5	8	the	the	DET
cana-6163	5	9	yolo	yolo	ADJ
cana-6163	5	10	8l	8l	NUM
cana-6163	5	11	detection	detection	NOUN
cana-6163	5	12	model	model	NOUN
cana-6163	5	13	to	to	PART
cana-6163	5	14	accurately	accurately	ADV
cana-6163	5	15	identify	identify	VERB
cana-6163	5	16	and	and	CCONJ
cana-6163	5	17	classify	classify	VERB
cana-6163	5	18	underwater	underwater	ADJ
cana-6163	5	19	objects	object	NOUN
cana-6163	5	20	.	.	PUNCT
cana-6163	6	1	experimental	experimental	ADJ
cana-6163	6	2	results	result	NOUN
cana-6163	6	3	demonstrate	demonstrate	VERB
cana-6163	6	4	significant	significant	ADJ
cana-6163	6	5	improvements	improvement	NOUN
cana-6163	6	6	in	in	ADP
cana-6163	6	7	image	image	NOUN
cana-6163	6	8	quality	quality	NOUN
cana-6163	6	9	and	and	CCONJ
cana-6163	6	10	detection	detection	NOUN
cana-6163	6	11	accuracy	accuracy	NOUN
cana-6163	6	12	,	,	PUNCT
cana-6163	6	13	with	with	ADP
cana-6163	6	14	clear	clear	ADJ
cana-6163	6	15	recognition	recognition	NOUN
cana-6163	6	16	of	of	ADP
cana-6163	6	17	objects	object	NOUN
cana-6163	6	18	such	such	ADJ
cana-6163	6	19	as	as	ADP
cana-6163	6	20	shipwrecks	shipwreck	NOUN
cana-6163	6	21	and	and	CCONJ
cana-6163	6	22	divers	diver	NOUN
cana-6163	6	23	.	.	PUNCT
cana-6163	7	1	the	the	DET
cana-6163	7	2	proposed	propose	VERB
cana-6163	7	3	approach	approach	NOUN
cana-6163	7	4	establishes	establish	VERB
cana-6163	7	5	a	a	DET
cana-6163	7	6	reliable	reliable	ADJ
cana-6163	7	7	pipeline	pipeline	NOUN
cana-6163	7	8	for	for	ADP
cana-6163	7	9	underwater	underwater	ADJ
cana-6163	7	10	visual	visual	ADJ
cana-6163	7	11	analysis	analysis	NOUN
cana-6163	7	12	,	,	PUNCT
cana-6163	7	13	offering	offer	VERB
cana-6163	7	14	potential	potential	ADJ
cana-6163	7	15	applications	application	NOUN
cana-6163	7	16	in	in	ADP
cana-6163	7	17	nautical	nautical	ADJ
cana-6163	7	18	exploration	exploration	NOUN
cana-6163	7	19	,	,	PUNCT
cana-6163	7	20	archaeology	archaeology	NOUN
cana-6163	7	21	,	,	PUNCT
cana-6163	7	22	surveillance	surveillance	NOUN
cana-6163	7	23	,	,	PUNCT
cana-6163	7	24	and	and	CCONJ
cana-6163	7	25	ecological	ecological	ADJ
cana-6163	7	26	monitoring	monitoring	NOUN
cana-6163	7	27	.	.	PUNCT
cana-6163	8	1	keywords	keyword	NOUN
cana-6163	8	2	—	—	PUNCT
cana-6163	8	3	underwater	underwater	ADJ
cana-6163	8	4	imaging	imaging	NOUN
cana-6163	8	5	,	,	PUNCT
cana-6163	8	6	image	image	NOUN
cana-6163	8	7	segmentation	segmentation	NOUN
cana-6163	8	8	,	,	PUNCT
cana-6163	8	9	denoising	denoise	VERB
cana-6163	8	10	techniques	technique	NOUN
cana-6163	8	11	,	,	PUNCT
cana-6163	8	12	visual	visual	ADJ
cana-6163	8	13	quality	quality	NOUN
cana-6163	8	14	enhancement	enhancement	NOUN
cana-6163	8	15	,	,	PUNCT
cana-6163	8	16	peak	peak	NOUN
cana-6163	8	17	signal	signal	NOUN
cana-6163	8	18	-	-	PUNCT
cana-6163	8	19	to	to	ADP
cana-6163	8	20	-	-	PUNCT
cana-6163	8	21	noise	noise	NOUN
cana-6163	8	22	ratio	ratio	NOUN
cana-6163	8	23	(	(	PUNCT
cana-6163	8	24	psnr	psnr	NOUN
cana-6163	8	25	)	)	PUNCT
cana-6163	8	26	,	,	PUNCT
cana-6163	8	27	mean	mean	VERB
cana-6163	8	28	squared	square	VERB
cana-6163	8	29	error	error	NOUN
cana-6163	8	30	(	(	PUNCT
cana-6163	8	31	mse	mse	NOUN
cana-6163	8	32	)	)	PUNCT
cana-6163	8	33	,	,	PUNCT
cana-6163	8	34	structural	structural	ADJ
cana-6163	8	35	similarity	similarity	NOUN
cana-6163	8	36	index	index	NOUN
cana-6163	8	37	(	(	PUNCT
cana-6163	8	38	ssim	ssim	NOUN
cana-6163	8	39	)	)	PUNCT
cana-6163	8	40	,	,	PUNCT
cana-6163	8	41	and	and	CCONJ
cana-6163	8	42	image	image	NOUN
cana-6163	8	43	filtering	filtering	NOUN
cana-6163	8	44	.	.	PUNCT
cana-6163	9	1	introduction	introduction	NOUN
cana-6163	9	2	over	over	ADP
cana-6163	9	3	the	the	DET
cana-6163	9	4	past	past	ADJ
cana-6163	9	5	decade	decade	NOUN
cana-6163	9	6	,	,	PUNCT
cana-6163	9	7	underwater	underwater	ADJ
cana-6163	9	8	data	datum	NOUN
cana-6163	9	9	and	and	CCONJ
cana-6163	9	10	image	image	NOUN
cana-6163	9	11	acquisition	acquisition	NOUN
cana-6163	9	12	technologies	technology	NOUN
cana-6163	9	13	have	have	AUX
cana-6163	9	14	advanced	advance	VERB
cana-6163	9	15	rapidly	rapidly	ADV
cana-6163	9	16	,	,	PUNCT
cana-6163	9	17	and	and	CCONJ
cana-6163	9	18	the	the	DET
cana-6163	9	19	application	application	NOUN
cana-6163	9	20	of	of	ADP
cana-6163	9	21	underwater	underwater	ADJ
cana-6163	9	22	object	object	NOUN
cana-6163	9	23	recognition	recognition	NOUN
cana-6163	9	24	has	have	AUX
cana-6163	9	25	become	become	VERB
cana-6163	9	26	increasingly	increasingly	ADV
cana-6163	9	27	widespread	widespread	ADJ
cana-6163	9	28	.	.	PUNCT
cana-6163	10	1	these	these	DET
cana-6163	10	2	technologies	technology	NOUN
cana-6163	10	3	are	be	AUX
cana-6163	10	4	now	now	ADV
cana-6163	10	5	used	use	VERB
cana-6163	10	6	in	in	ADP
cana-6163	10	7	diverse	diverse	ADJ
cana-6163	10	8	fields	field	NOUN
cana-6163	10	9	such	such	ADJ
cana-6163	10	10	as	as	ADP
cana-6163	10	11	laying	lay	VERB
cana-6163	10	12	submarine	submarine	NOUN
cana-6163	10	13	optical	optical	ADJ
cana-6163	10	14	cables	cable	NOUN
cana-6163	10	15	,	,	PUNCT
cana-6163	10	16	constructing	construct	VERB
cana-6163	10	17	and	and	CCONJ
cana-6163	10	18	maintaining	maintain	VERB
cana-6163	10	19	offshore	offshore	ADJ
cana-6163	10	20	oil	oil	NOUN
cana-6163	10	21	platforms	platform	NOUN
cana-6163	10	22	,	,	PUNCT
cana-6163	10	23	salvaging	salvage	VERB
cana-6163	10	24	sunken	sunken	ADJ
cana-6163	10	25	submarines	submarine	NOUN
cana-6163	10	26	,	,	PUNCT
cana-6163	10	27	marine	marine	ADJ
cana-6163	10	28	organism	organism	NOUN
cana-6163	10	29	harvesting	harvesting	NOUN
cana-6163	10	30	,	,	PUNCT
cana-6163	10	31	and	and	CCONJ
cana-6163	10	32	environmental	environmental	ADJ
cana-6163	10	33	monitoring	monitoring	NOUN
cana-6163	10	34	of	of	ADP
cana-6163	10	35	the	the	DET
cana-6163	10	36	oceans	ocean	NOUN
cana-6163	10	37	.	.	PUNCT
cana-6163	11	1	optical	optical	ADJ
cana-6163	11	2	imaging	imaging	NOUN
cana-6163	11	3	in	in	ADP
cana-6163	11	4	underwater	underwater	ADJ
cana-6163	11	5	environments	environment	NOUN
cana-6163	11	6	provides	provide	VERB
cana-6163	11	7	high	high	ADJ
cana-6163	11	8	resolution	resolution	NOUN
cana-6163	11	9	and	and	CCONJ
cana-6163	11	10	rich	rich	ADJ
cana-6163	11	11	detail	detail	NOUN
cana-6163	11	12	,	,	PUNCT
cana-6163	11	13	making	make	VERB
cana-6163	11	14	it	it	PRON
cana-6163	11	15	particularly	particularly	ADV
cana-6163	11	16	effective	effective	ADJ
cana-6163	11	17	for	for	ADP
cana-6163	11	18	detecting	detect	VERB
cana-6163	11	19	objects	object	NOUN
cana-6163	11	20	at	at	ADP
cana-6163	11	21	close	close	ADJ
cana-6163	11	22	range	range	NOUN
cana-6163	11	23	.	.	PUNCT
cana-6163	12	1	however	however	ADV
cana-6163	12	2	,	,	PUNCT
cana-6163	12	3	such	such	ADJ
cana-6163	12	4	images	image	NOUN
cana-6163	12	5	frequently	frequently	ADV
cana-6163	12	6	suffer	suffer	VERB
cana-6163	12	7	from	from	ADP
cana-6163	12	8	noise	noise	NOUN
cana-6163	12	9	interference	interference	NOUN
cana-6163	12	10	,	,	PUNCT
cana-6163	12	11	blurred	blurred	ADJ
cana-6163	12	12	textures	texture	NOUN
cana-6163	12	13	,	,	PUNCT
cana-6163	12	14	low	low	ADJ
cana-6163	12	15	contrast	contrast	NOUN
cana-6163	12	16	,	,	PUNCT
cana-6163	12	17	and	and	CCONJ
cana-6163	12	18	color	color	NOUN
cana-6163	12	19	distortion	distortion	NOUN
cana-6163	12	20	due	due	ADP
cana-6163	12	21	to	to	ADP
cana-6163	12	22	light	light	ADJ
cana-6163	12	23	absorption	absorption	NOUN
cana-6163	12	24	and	and	CCONJ
cana-6163	12	25	scattering	scattering	NOUN
cana-6163	12	26	.	.	PUNCT
cana-6163	13	1	these	these	DET
cana-6163	13	2	limitations	limitation	NOUN
cana-6163	13	3	reduce	reduce	VERB
cana-6163	13	4	the	the	DET
cana-6163	13	5	amount	amount	NOUN
cana-6163	13	6	of	of	ADP
cana-6163	13	7	usable	usable	ADJ
cana-6163	13	8	information	information	NOUN
cana-6163	13	9	,	,	PUNCT
cana-6163	13	10	creating	create	VERB
cana-6163	13	11	communications	communication	NOUN
cana-6163	13	12	on	on	ADP
cana-6163	13	13	applied	apply	VERB
cana-6163	13	14	nonlinear	nonlinear	ADJ
cana-6163	13	15	analysis	analysis	NOUN
cana-6163	13	16	issn	issn	NOUN
cana-6163	13	17	:	:	PUNCT
cana-6163	13	18	1074	1074	NUM
cana-6163	13	19	-	-	PUNCT
cana-6163	13	20	133x	133x	NUM
cana-6163	13	21	vol	vol	VERB
cana-6163	13	22	32	32	NUM
cana-6163	13	23	no	no	NOUN
cana-6163	13	24	.	.	PUNCT
cana-6163	14	1	10s	10	NOUN
cana-6163	14	2	(	(	PUNCT
cana-6163	14	3	2025	2025	NUM
cana-6163	14	4	)	)	PUNCT
cana-6163	14	5	3514	3514	NUM
cana-6163	15	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-6163	15	2	challenges	challenge	NOUN
cana-6163	15	3	for	for	ADP
cana-6163	15	4	tasks	task	NOUN
cana-6163	15	5	like	like	ADP
cana-6163	15	6	target	target	NOUN
cana-6163	15	7	detection	detection	NOUN
cana-6163	15	8	in	in	ADP
cana-6163	15	9	marine	marine	ADJ
cana-6163	15	10	industries	industry	NOUN
cana-6163	15	11	and	and	CCONJ
cana-6163	15	12	fisheries	fishery	NOUN
cana-6163	15	13	.	.	PUNCT
cana-6163	16	1	enhancing	enhance	VERB
cana-6163	16	2	submerged	submerge	VERB
cana-6163	16	3	images	image	NOUN
cana-6163	16	4	can	can	AUX
cana-6163	16	5	greatly	greatly	ADV
cana-6163	16	6	improve	improve	VERB
cana-6163	16	7	their	their	PRON
cana-6163	16	8	quality	quality	NOUN
cana-6163	16	9	and	and	CCONJ
cana-6163	16	10	support	support	VERB
cana-6163	16	11	demanding	demand	VERB
cana-6163	16	12	tasks	task	NOUN
cana-6163	16	13	,	,	PUNCT
cana-6163	16	14	such	such	ADJ
cana-6163	16	15	as	as	ADP
cana-6163	16	16	tracking	tracking	NOUN
cana-6163	16	17	and	and	CCONJ
cana-6163	16	18	monitoring	monitor	VERB
cana-6163	16	19	marine	marine	ADJ
cana-6163	16	20	life	life	NOUN
cana-6163	16	21	.	.	PUNCT
cana-6163	17	1	therefore	therefore	ADV
cana-6163	17	2	,	,	PUNCT
cana-6163	17	3	strengthening	strengthen	VERB
cana-6163	17	4	the	the	DET
cana-6163	17	5	visual	visual	ADJ
cana-6163	17	6	features	feature	NOUN
cana-6163	17	7	of	of	ADP
cana-6163	17	8	underwater	underwater	ADJ
cana-6163	17	9	imagery	imagery	NOUN
cana-6163	17	10	is	be	AUX
cana-6163	17	11	essential	essential	ADJ
cana-6163	17	12	to	to	PART
cana-6163	17	13	produce	produce	VERB
cana-6163	17	14	high	high	ADJ
cana-6163	17	15	-	-	PUNCT
cana-6163	17	16	resolution	resolution	NOUN
cana-6163	17	17	,	,	PUNCT
cana-6163	17	18	color	color	NOUN
cana-6163	17	19	-	-	PUNCT
cana-6163	17	20	rich	rich	ADJ
cana-6163	17	21	images	image	NOUN
cana-6163	17	22	suitable	suitable	ADJ
cana-6163	17	23	for	for	ADP
cana-6163	17	24	advanced	advanced	ADJ
cana-6163	17	25	marine	marine	ADJ
cana-6163	17	26	research	research	NOUN
cana-6163	17	27	and	and	CCONJ
cana-6163	17	28	industrial	industrial	ADJ
cana-6163	17	29	applications	application	NOUN
cana-6163	17	30	.	.	PUNCT
cana-6163	18	1	i.	i.	PROPN
cana-6163	18	2	literature	literature	PROPN
cana-6163	18	3	survey	survey	NOUN
cana-6163	18	4	in	in	ADP
cana-6163	18	5	[	[	X
cana-6163	18	6	1	1	X
cana-6163	18	7	]	]	PUNCT
cana-6163	18	8	a	a	DET
cana-6163	18	9	deep	deep	ADJ
cana-6163	18	10	learning	learning	NOUN
cana-6163	18	11	-	-	PUNCT
cana-6163	18	12	based	base	VERB
cana-6163	18	13	approach	approach	NOUN
cana-6163	18	14	for	for	ADP
cana-6163	18	15	underwater	underwater	ADJ
cana-6163	18	16	metallic	metallic	ADJ
cana-6163	18	17	object	object	NOUN
cana-6163	18	18	detection	detection	NOUN
cana-6163	18	19	is	be	AUX
cana-6163	18	20	presented	present	VERB
cana-6163	18	21	,	,	PUNCT
cana-6163	18	22	using	use	VERB
cana-6163	18	23	input	input	NOUN
cana-6163	18	24	image	image	NOUN
cana-6163	18	25	data	datum	NOUN
cana-6163	18	26	with	with	ADP
cana-6163	18	27	multiple	multiple	ADJ
cana-6163	18	28	steps	step	NOUN
cana-6163	18	29	to	to	PART
cana-6163	18	30	enhance	enhance	VERB
cana-6163	18	31	model	model	NOUN
cana-6163	18	32	performance	performance	NOUN
cana-6163	18	33	.	.	PUNCT
cana-6163	19	1	the	the	DET
cana-6163	19	2	turbid	turbid	ADJ
cana-6163	19	3	dataset	dataset	NOUN
cana-6163	19	4	,	,	PUNCT
cana-6163	19	5	consisting	consist	VERB
cana-6163	19	6	of	of	ADP
cana-6163	19	7	100	100	NUM
cana-6163	19	8	images	image	NOUN
cana-6163	19	9	,	,	PUNCT
cana-6163	19	10	was	be	AUX
cana-6163	19	11	employed	employ	VERB
cana-6163	19	12	for	for	ADP
cana-6163	19	13	evaluation	evaluation	NOUN
cana-6163	19	14	.	.	PUNCT
cana-6163	20	1	to	to	PART
cana-6163	20	2	assess	assess	VERB
cana-6163	20	3	effectiveness	effectiveness	NOUN
cana-6163	20	4	,	,	PUNCT
cana-6163	20	5	the	the	DET
cana-6163	20	6	model	model	NOUN
cana-6163	20	7	was	be	AUX
cana-6163	20	8	tested	test	VERB
cana-6163	20	9	across	across	ADP
cana-6163	20	10	different	different	ADJ
cana-6163	20	11	validation	validation	NOUN
cana-6163	20	12	levels	level	NOUN
cana-6163	20	13	.	.	PUNCT
cana-6163	21	1	initially	initially	ADV
cana-6163	21	2	,	,	PUNCT
cana-6163	21	3	input	input	NOUN
cana-6163	21	4	images	image	NOUN
cana-6163	21	5	undergo	undergo	VERB
cana-6163	21	6	preprocessing	preprocessing	NOUN
cana-6163	21	7	,	,	PUNCT
cana-6163	21	8	followed	follow	VERB
cana-6163	21	9	by	by	ADP
cana-6163	21	10	kfcm	kfcm	PROPN
cana-6163	21	11	-	-	PUNCT
cana-6163	21	12	based	base	VERB
cana-6163	21	13	segmentation	segmentation	NOUN
cana-6163	21	14	to	to	PART
cana-6163	21	15	isolate	isolate	VERB
cana-6163	21	16	key	key	ADJ
cana-6163	21	17	regions	region	NOUN
cana-6163	21	18	.	.	PUNCT
cana-6163	22	1	the	the	DET
cana-6163	22	2	segmented	segment	VERB
cana-6163	22	3	outputs	output	NOUN
cana-6163	22	4	are	be	AUX
cana-6163	22	5	then	then	ADV
cana-6163	22	6	processed	process	VERB
cana-6163	22	7	through	through	ADP
cana-6163	22	8	dwt	dwt	PROPN
cana-6163	22	9	feature	feature	NOUN
cana-6163	22	10	extraction	extraction	NOUN
cana-6163	22	11	,	,	PUNCT
cana-6163	22	12	capturing	capture	VERB
cana-6163	22	13	essential	essential	ADJ
cana-6163	22	14	characteristics	characteristic	NOUN
cana-6163	22	15	.	.	PUNCT
cana-6163	23	1	finally	finally	ADV
cana-6163	23	2	,	,	PUNCT
cana-6163	23	3	a	a	DET
cana-6163	23	4	convolutional	convolutional	ADJ
cana-6163	23	5	neural	neural	ADJ
cana-6163	23	6	network	network	NOUN
cana-6163	23	7	(	(	PUNCT
cana-6163	23	8	cnn	cnn	PROPN
cana-6163	23	9	)	)	PUNCT
cana-6163	23	10	performs	perform	VERB
cana-6163	23	11	classification	classification	NOUN
cana-6163	23	12	to	to	PART
cana-6163	23	13	identify	identify	VERB
cana-6163	23	14	the	the	DET
cana-6163	23	15	objects	object	NOUN
cana-6163	23	16	.	.	PUNCT
cana-6163	24	1	this	this	DET
cana-6163	24	2	technique	technique	NOUN
cana-6163	24	3	can	can	AUX
cana-6163	24	4	be	be	AUX
cana-6163	24	5	effectively	effectively	ADV
cana-6163	24	6	applied	apply	VERB
cana-6163	24	7	to	to	PART
cana-6163	24	8	locate	locate	VERB
cana-6163	24	9	submerged	submerge	VERB
cana-6163	24	10	metallic	metallic	ADJ
cana-6163	24	11	components	component	NOUN
cana-6163	24	12	,	,	PUNCT
cana-6163	24	13	such	such	ADJ
cana-6163	24	14	as	as	ADP
cana-6163	24	15	machine	machine	NOUN
cana-6163	24	16	parts	part	NOUN
cana-6163	24	17	from	from	ADP
cana-6163	24	18	ships	ship	NOUN
cana-6163	24	19	or	or	CCONJ
cana-6163	24	20	aircraft	aircraft	NOUN
cana-6163	24	21	that	that	PRON
cana-6163	24	22	have	have	AUX
cana-6163	24	23	sunk	sink	VERB
cana-6163	24	24	into	into	ADP
cana-6163	24	25	the	the	DET
cana-6163	24	26	sea	sea	NOUN
cana-6163	24	27	.	.	PUNCT
cana-6163	25	1	in	in	ADP
cana-6163	25	2	[	[	X
cana-6163	25	3	2	2	NUM
cana-6163	25	4	]	]	PUNCT
cana-6163	25	5	for	for	ADP
cana-6163	25	6	clearer	clear	ADJ
cana-6163	25	7	insight	insight	NOUN
cana-6163	25	8	,	,	PUNCT
cana-6163	25	9	the	the	DET
cana-6163	25	10	key	key	ADJ
cana-6163	25	11	challenges	challenge	NOUN
cana-6163	25	12	in	in	ADP
cana-6163	25	13	vision	vision	NOUN
cana-6163	25	14	-	-	PUNCT
cana-6163	25	15	based	base	VERB
cana-6163	25	16	underwater	underwater	ADJ
cana-6163	25	17	detection	detection	NOUN
cana-6163	25	18	are	be	AUX
cana-6163	25	19	categorized	categorize	VERB
cana-6163	25	20	into	into	ADP
cana-6163	25	21	four	four	NUM
cana-6163	25	22	groups	group	NOUN
cana-6163	25	23	:	:	PUNCT
cana-6163	25	24	degraded	degraded	ADJ
cana-6163	25	25	image	image	NOUN
cana-6163	25	26	quality	quality	NOUN
cana-6163	25	27	,	,	PUNCT
cana-6163	25	28	detection	detection	NOUN
cana-6163	25	29	of	of	ADP
cana-6163	25	30	small	small	ADJ
cana-6163	25	31	-	-	PUNCT
cana-6163	25	32	scale	scale	NOUN
cana-6163	25	33	objects	object	NOUN
cana-6163	25	34	,	,	PUNCT
cana-6163	25	35	limited	limited	ADJ
cana-6163	25	36	generalization	generalization	NOUN
cana-6163	25	37	across	across	ADP
cana-6163	25	38	environments	environment	NOUN
cana-6163	25	39	,	,	PUNCT
cana-6163	25	40	and	and	CCONJ
cana-6163	25	41	the	the	DET
cana-6163	25	42	need	need	NOUN
cana-6163	25	43	for	for	ADP
cana-6163	25	44	real	real	ADJ
cana-6163	25	45	-	-	PUNCT
cana-6163	25	46	time	time	NOUN
cana-6163	25	47	processing	processing	NOUN
cana-6163	25	48	.	.	PUNCT
cana-6163	26	1	we	we	PRON
cana-6163	26	2	examine	examine	VERB
cana-6163	26	3	recent	recent	ADJ
cana-6163	26	4	progress	progress	NOUN
cana-6163	26	5	in	in	ADP
cana-6163	26	6	this	this	DET
cana-6163	26	7	field	field	NOUN
cana-6163	26	8	and	and	CCONJ
cana-6163	26	9	discuss	discuss	VERB
cana-6163	26	10	the	the	DET
cana-6163	26	11	strengths	strength	NOUN
cana-6163	26	12	and	and	CCONJ
cana-6163	26	13	shortcomings	shortcoming	NOUN
cana-6163	26	14	of	of	ADP
cana-6163	26	15	existing	exist	VERB
cana-6163	26	16	techniques	technique	NOUN
cana-6163	26	17	in	in	ADP
cana-6163	26	18	addressing	address	VERB
cana-6163	26	19	these	these	DET
cana-6163	26	20	challenges	challenge	NOUN
cana-6163	26	21	.	.	PUNCT
cana-6163	27	1	the	the	DET
cana-6163	27	2	[	[	X
cana-6163	27	3	3	3	NUM
cana-6163	27	4	]	]	SYM
cana-6163	27	5	aim	aim	NOUN
cana-6163	27	6	of	of	ADP
cana-6163	27	7	this	this	DET
cana-6163	27	8	paper	paper	NOUN
cana-6163	27	9	is	be	AUX
cana-6163	27	10	to	to	PART
cana-6163	27	11	introduce	introduce	VERB
cana-6163	27	12	a	a	DET
cana-6163	27	13	structured	structured	ADJ
cana-6163	27	14	framework	framework	NOUN
cana-6163	27	15	for	for	ADP
cana-6163	27	16	analyzing	analyze	VERB
cana-6163	27	17	underwater	underwater	ADJ
cana-6163	27	18	pipeline	pipeline	NOUN
cana-6163	27	19	images	image	NOUN
cana-6163	27	20	through	through	ADP
cana-6163	27	21	deep	deep	ADJ
cana-6163	27	22	learning	learning	NOUN
cana-6163	27	23	techniques	technique	NOUN
cana-6163	27	24	.	.	PUNCT
cana-6163	28	1	the	the	DET
cana-6163	28	2	approach	approach	NOUN
cana-6163	28	3	is	be	AUX
cana-6163	28	4	systematically	systematically	ADV
cana-6163	28	5	organized	organize	VERB
cana-6163	28	6	around	around	ADP
cana-6163	28	7	the	the	DET
cana-6163	28	8	identified	identify	VERB
cana-6163	28	9	objects	object	NOUN
cana-6163	28	10	,	,	PUNCT
cana-6163	28	11	along	along	ADP
cana-6163	28	12	with	with	ADP
cana-6163	28	13	a	a	DET
cana-6163	28	14	description	description	NOUN
cana-6163	28	15	of	of	ADP
cana-6163	28	16	the	the	DET
cana-6163	28	17	deep	deep	ADJ
cana-6163	28	18	learning	learning	NOUN
cana-6163	28	19	models	model	NOUN
cana-6163	28	20	applied	apply	VERB
cana-6163	28	21	.	.	PUNCT
cana-6163	29	1	leveraging	leverage	VERB
cana-6163	29	2	deep	deep	ADJ
cana-6163	29	3	neural	neural	ADJ
cana-6163	29	4	networks	network	NOUN
cana-6163	29	5	for	for	ADP
cana-6163	29	6	interpreting	interpret	VERB
cana-6163	29	7	seafloor	seafloor	NOUN
cana-6163	29	8	imagery	imagery	NOUN
cana-6163	29	9	shows	show	VERB
cana-6163	29	10	great	great	ADJ
cana-6163	29	11	promise	promise	NOUN
cana-6163	29	12	in	in	ADP
cana-6163	29	13	automation	automation	NOUN
cana-6163	29	14	,	,	PUNCT
cana-6163	29	15	especially	especially	ADV
cana-6163	29	16	for	for	ADP
cana-6163	29	17	the	the	DET
cana-6163	29	18	detection	detection	NOUN
cana-6163	29	19	and	and	CCONJ
cana-6163	29	20	monitoring	monitoring	NOUN
cana-6163	29	21	of	of	ADP
cana-6163	29	22	underwater	underwater	ADJ
cana-6163	29	23	pipelines	pipeline	NOUN
cana-6163	29	24	.	.	PUNCT
cana-6163	30	1	these	these	DET
cana-6163	30	2	challenges	challenge	NOUN
cana-6163	30	3	primarily	primarily	ADV
cana-6163	30	4	arise	arise	VERB
cana-6163	30	5	because	because	SCONJ
cana-6163	30	6	particles	particle	NOUN
cana-6163	30	7	in	in	ADP
cana-6163	30	8	underwater	underwater	ADJ
cana-6163	30	9	environments	environment	NOUN
cana-6163	30	10	scatter	scatter	VERB
cana-6163	30	11	and	and	CCONJ
cana-6163	30	12	absorb	absorb	VERB
cana-6163	30	13	light	light	NOUN
cana-6163	30	14	,	,	PUNCT
cana-6163	30	15	reducing	reduce	VERB
cana-6163	30	16	visibility	visibility	NOUN
cana-6163	30	17	.	.	PUNCT
cana-6163	31	1	the	the	DET
cana-6163	31	2	advent	advent	NOUN
cana-6163	31	3	of	of	ADP
cana-6163	31	4	deep	deep	ADJ
cana-6163	31	5	learning	learning	NOUN
cana-6163	31	6	has	have	AUX
cana-6163	31	7	enabled	enable	VERB
cana-6163	31	8	researchers	researcher	NOUN
cana-6163	31	9	to	to	PART
cana-6163	31	10	tackle	tackle	VERB
cana-6163	31	11	numerous	numerous	ADJ
cana-6163	31	12	problems	problem	NOUN
cana-6163	31	13	,	,	PUNCT
cana-6163	31	14	such	such	ADJ
cana-6163	31	15	as	as	ADP
cana-6163	31	16	protecting	protect	VERB
cana-6163	31	17	marine	marine	ADJ
cana-6163	31	18	ecosystems	ecosystem	NOUN
cana-6163	31	19	,	,	PUNCT
cana-6163	31	20	supporting	support	VERB
cana-6163	31	21	rescue	rescue	NOUN
cana-6163	31	22	operations	operation	NOUN
cana-6163	31	23	,	,	PUNCT
cana-6163	31	24	preventing	prevent	VERB
cana-6163	31	25	underwater	underwater	ADJ
cana-6163	31	26	hazards	hazard	NOUN
cana-6163	31	27	,	,	PUNCT
cana-6163	31	28	and	and	CCONJ
cana-6163	31	29	detecting	detect	VERB
cana-6163	31	30	or	or	CCONJ
cana-6163	31	31	tracking	track	VERB
cana-6163	31	32	submerged	submerge	VERB
cana-6163	31	33	objects	object	NOUN
cana-6163	31	34	.	.	PUNCT
cana-6163	32	1	despite	despite	SCONJ
cana-6163	32	2	these	these	DET
cana-6163	32	3	advancements	advancement	NOUN
cana-6163	32	4	,	,	PUNCT
cana-6163	32	5	the	the	DET
cana-6163	32	6	strengths	strength	NOUN
cana-6163	32	7	and	and	CCONJ
cana-6163	32	8	limitations	limitation	NOUN
cana-6163	32	9	of	of	ADP
cana-6163	32	10	deep	deep	ADJ
cana-6163	32	11	learning	learning	NOUN
cana-6163	32	12	models	model	NOUN
cana-6163	32	13	in	in	ADP
cana-6163	32	14	this	this	DET
cana-6163	32	15	domain	domain	NOUN
cana-6163	32	16	are	be	AUX
cana-6163	32	17	not	not	PART
cana-6163	32	18	yet	yet	ADV
cana-6163	32	19	fully	fully	ADV
cana-6163	32	20	understood	understand	VERB
cana-6163	32	21	[	[	X
cana-6163	32	22	4	4	NUM
cana-6163	32	23	]	]	PUNCT
cana-6163	32	24	.	.	PUNCT
cana-6163	33	1	in	in	ADP
cana-6163	33	2	[	[	X
cana-6163	33	3	5	5	NUM
cana-6163	33	4	]	]	PUNCT
cana-6163	33	5	the	the	DET
cana-6163	33	6	improved	improved	ADJ
cana-6163	33	7	outputs	output	NOUN
cana-6163	33	8	produced	produce	VERB
cana-6163	33	9	by	by	ADP
cana-6163	33	10	rcarn	rcarn	PROPN
cana-6163	33	11	are	be	AUX
cana-6163	33	12	subsequently	subsequently	ADV
cana-6163	33	13	forwarded	forward	VERB
cana-6163	33	14	to	to	ADP
cana-6163	33	15	the	the	DET
cana-6163	33	16	detection	detection	NOUN
cana-6163	33	17	phase	phase	NOUN
cana-6163	33	18	,	,	PUNCT
cana-6163	33	19	where	where	SCONJ
cana-6163	33	20	the	the	DET
cana-6163	33	21	existing	exist	VERB
cana-6163	33	22	yolov3	yolov3	PROPN
cana-6163	33	23	model	model	NOUN
cana-6163	33	24	is	be	AUX
cana-6163	33	25	employed	employ	VERB
cana-6163	33	26	.	.	PUNCT
cana-6163	34	1	to	to	PART
cana-6163	34	2	attain	attain	VERB
cana-6163	34	3	superior	superior	ADJ
cana-6163	34	4	detection	detection	NOUN
cana-6163	34	5	accuracy	accuracy	NOUN
cana-6163	34	6	,	,	PUNCT
cana-6163	34	7	yolov3	yolov3	PROPN
cana-6163	34	8	is	be	AUX
cana-6163	34	9	first	first	ADV
cana-6163	34	10	trained	train	VERB
cana-6163	34	11	on	on	ADP
cana-6163	34	12	the	the	DET
cana-6163	34	13	extensive	extensive	ADJ
cana-6163	34	14	coco	coco	PROPN
cana-6163	34	15	dataset	dataset	NOUN
cana-6163	34	16	and	and	CCONJ
cana-6163	34	17	then	then	ADV
cana-6163	34	18	refined	refine	VERB
cana-6163	34	19	with	with	ADP
cana-6163	34	20	the	the	DET
cana-6163	34	21	improved	improve	VERB
cana-6163	34	22	underwater	underwater	ADJ
cana-6163	34	23	photos	photo	NOUN
cana-6163	34	24	.	.	PUNCT
cana-6163	35	1	this	this	DET
cana-6163	35	2	research	research	NOUN
cana-6163	35	3	utilizes	utilize	VERB
cana-6163	35	4	a	a	DET
cana-6163	35	5	dataset	dataset	NOUN
cana-6163	35	6	encompassing	encompass	VERB
cana-6163	35	7	six	six	NUM
cana-6163	35	8	kinds	kind	NOUN
cana-6163	35	9	of	of	ADP
cana-6163	35	10	aquatic	aquatic	ADJ
cana-6163	35	11	objects	object	NOUN
cana-6163	35	12	:	:	PUNCT
cana-6163	35	13	dolphin	dolphin	NOUN
cana-6163	35	14	,	,	PUNCT
cana-6163	35	15	jellyfish	jellyfish	NOUN
cana-6163	35	16	,	,	PUNCT
cana-6163	35	17	octopus	octopus	NOUN
cana-6163	35	18	,	,	PUNCT
cana-6163	35	19	seahorse	seahorse	NOUN
cana-6163	35	20	,	,	PUNCT
cana-6163	35	21	starfish	starfish	NOUN
cana-6163	35	22	,	,	PUNCT
cana-6163	35	23	and	and	CCONJ
cana-6163	35	24	turtle	turtle	NOUN
cana-6163	35	25	,	,	PUNCT
cana-6163	35	26	consisting	consist	VERB
cana-6163	35	27	of	of	ADP
cana-6163	35	28	genuine	genuine	ADJ
cana-6163	35	29	field	field	NOUN
cana-6163	35	30	photographs	photograph	NOUN
cana-6163	35	31	collected	collect	VERB
cana-6163	35	32	from	from	ADP
cana-6163	35	33	various	various	ADJ
cana-6163	35	34	sources	source	NOUN
cana-6163	35	35	.	.	PUNCT
cana-6163	36	1	according	accord	VERB
cana-6163	36	2	to	to	ADP
cana-6163	36	3	[	[	X
cana-6163	36	4	6	6	NUM
cana-6163	36	5	]	]	PUNCT
cana-6163	36	6	several	several	ADJ
cana-6163	36	7	new	new	ADJ
cana-6163	36	8	algorithms	algorithm	NOUN
cana-6163	36	9	have	have	AUX
cana-6163	36	10	recently	recently	ADV
cana-6163	36	11	been	be	AUX
cana-6163	36	12	introduced	introduce	VERB
cana-6163	36	13	to	to	PART
cana-6163	36	14	enhance	enhance	VERB
cana-6163	36	15	underwater	underwater	ADJ
cana-6163	36	16	images	image	NOUN
cana-6163	36	17	.	.	PUNCT
cana-6163	37	1	however	however	ADV
cana-6163	37	2	,	,	PUNCT
cana-6163	37	3	most	most	ADJ
cana-6163	37	4	of	of	ADP
cana-6163	37	5	these	these	DET
cana-6163	37	6	methods	method	NOUN
cana-6163	37	7	are	be	AUX
cana-6163	37	8	tested	test	VERB
cana-6163	37	9	only	only	ADV
cana-6163	37	10	on	on	ADP
cana-6163	37	11	limited	limited	ADJ
cana-6163	37	12	datasets	dataset	NOUN
cana-6163	37	13	or	or	CCONJ
cana-6163	37	14	a	a	DET
cana-6163	37	15	small	small	ADJ
cana-6163	37	16	selection	selection	NOUN
cana-6163	37	17	of	of	ADP
cana-6163	37	18	real	real	ADJ
cana-6163	37	19	-	-	PUNCT
cana-6163	37	20	world	world	NOUN
cana-6163	37	21	images	image	NOUN
cana-6163	37	22	,	,	PUNCT
cana-6163	37	23	making	make	VERB
cana-6163	37	24	it	it	PRON
cana-6163	37	25	difficult	difficult	ADJ
cana-6163	37	26	to	to	PART
cana-6163	37	27	evaluate	evaluate	VERB
cana-6163	37	28	their	their	PRON
cana-6163	37	29	true	true	ADJ
cana-6163	37	30	effectiveness	effectiveness	NOUN
cana-6163	37	31	and	and	CCONJ
cana-6163	37	32	track	track	VERB
cana-6163	37	33	their	their	PRON
cana-6163	37	34	progress	progress	NOUN
cana-6163	37	35	in	in	ADP
cana-6163	37	36	practical	practical	ADJ
cana-6163	37	37	applications	application	NOUN
cana-6163	37	38	.	.	PUNCT
cana-6163	38	1	a	a	DET
cana-6163	38	2	thorough	thorough	ADJ
cana-6163	38	3	perceptual	perceptual	ADJ
cana-6163	38	4	study	study	NOUN
cana-6163	38	5	and	and	CCONJ
cana-6163	38	6	analysis	analysis	NOUN
cana-6163	38	7	of	of	ADP
cana-6163	38	8	submarine	submarine	NOUN
cana-6163	38	9	imagery	imagery	NOUN
cana-6163	38	10	is	be	AUX
cana-6163	38	11	therefore	therefore	ADV
cana-6163	38	12	essential	essential	ADJ
cana-6163	38	13	.	.	PUNCT
cana-6163	39	1	alongside	alongside	ADP
cana-6163	39	2	enhancement	enhancement	NOUN
cana-6163	39	3	,	,	PUNCT
cana-6163	39	4	object	object	VERB
cana-6163	39	5	detection	detection	NOUN
cana-6163	39	6	in	in	ADP
cana-6163	39	7	underwater	underwater	ADJ
cana-6163	39	8	images	image	NOUN
cana-6163	39	9	is	be	AUX
cana-6163	39	10	also	also	ADV
cana-6163	39	11	a	a	DET
cana-6163	39	12	major	major	ADJ
cana-6163	39	13	challenge	challenge	NOUN
cana-6163	39	14	,	,	PUNCT
cana-6163	39	15	as	as	SCONJ
cana-6163	39	16	low	low	ADJ
cana-6163	39	17	lighting	lighting	NOUN
cana-6163	39	18	conditions	condition	NOUN
cana-6163	39	19	and	and	CCONJ
cana-6163	39	20	noise	noise	NOUN
cana-6163	39	21	significantly	significantly	ADV
cana-6163	39	22	reduce	reduce	VERB
cana-6163	39	23	detection	detection	NOUN
cana-6163	39	24	accuracy	accuracy	NOUN
cana-6163	39	25	.	.	PUNCT
cana-6163	40	1	in	in	ADP
cana-6163	40	2	this	this	DET
cana-6163	40	3	work	work	NOUN
cana-6163	40	4	,	,	PUNCT
cana-6163	40	5	we	we	PRON
cana-6163	40	6	propose	propose	VERB
cana-6163	40	7	the	the	DET
cana-6163	40	8	use	use	NOUN
cana-6163	40	9	of	of	ADP
cana-6163	40	10	deep	deep	ADJ
cana-6163	40	11	learning	learning	NOUN
cana-6163	40	12	techniques	technique	NOUN
cana-6163	40	13	to	to	PART
cana-6163	40	14	both	both	CCONJ
cana-6163	40	15	enhance	enhance	VERB
cana-6163	40	16	image	image	NOUN
cana-6163	40	17	quality	quality	NOUN
cana-6163	40	18	and	and	CCONJ
cana-6163	40	19	identify	identify	VERB
cana-6163	40	20	underwater	underwater	ADJ
cana-6163	40	21	objects	object	NOUN
cana-6163	40	22	.	.	PUNCT
cana-6163	41	1	since	since	SCONJ
cana-6163	41	2	the	the	DET
cana-6163	41	3	dataset	dataset	NOUN
cana-6163	41	4	communications	communication	NOUN
cana-6163	41	5	on	on	ADP
cana-6163	41	6	applied	apply	VERB
cana-6163	41	7	nonlinear	nonlinear	ADJ
cana-6163	41	8	analysis	analysis	NOUN
cana-6163	41	9	issn	issn	NOUN
cana-6163	41	10	:	:	PUNCT
cana-6163	41	11	1074	1074	NUM
cana-6163	41	12	-	-	PUNCT
cana-6163	41	13	133x	133x	NUM
cana-6163	41	14	vol	vol	VERB
cana-6163	41	15	32	32	NUM
cana-6163	41	16	no	no	NOUN
cana-6163	41	17	.	.	PUNCT
cana-6163	42	1	10s	10	NOUN
cana-6163	42	2	(	(	PUNCT
cana-6163	42	3	2025	2025	NUM
cana-6163	42	4	)	)	PUNCT
cana-6163	42	5	3515	3515	NUM
cana-6163	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6163	42	7	includes	include	VERB
cana-6163	42	8	noisy	noisy	ADJ
cana-6163	42	9	samples	sample	NOUN
cana-6163	42	10	,	,	PUNCT
cana-6163	42	11	preprocessing	preprocessing	NOUN
cana-6163	42	12	and	and	CCONJ
cana-6163	42	13	normalization	normalization	NOUN
cana-6163	42	14	are	be	AUX
cana-6163	42	15	applied	apply	VERB
cana-6163	42	16	to	to	ADP
cana-6163	42	17	filter	filter	NOUN
cana-6163	42	18	and	and	CCONJ
cana-6163	42	19	balance	balance	VERB
cana-6163	42	20	the	the	DET
cana-6163	42	21	data	datum	NOUN
cana-6163	42	22	.	.	PUNCT
cana-6163	43	1	the	the	DET
cana-6163	43	2	refined	refine	VERB
cana-6163	43	3	dataset	dataset	NOUN
cana-6163	43	4	is	be	AUX
cana-6163	43	5	then	then	ADV
cana-6163	43	6	fed	feed	VERB
cana-6163	43	7	into	into	ADP
cana-6163	43	8	a	a	DET
cana-6163	43	9	convolutional	convolutional	ADJ
cana-6163	43	10	neural	neural	ADJ
cana-6163	43	11	network	network	NOUN
cana-6163	43	12	(	(	PUNCT
cana-6163	43	13	cnn	cnn	PROPN
cana-6163	43	14	)	)	PUNCT
cana-6163	43	15	,	,	PUNCT
cana-6163	43	16	where	where	SCONJ
cana-6163	43	17	convolution	convolution	NOUN
cana-6163	43	18	and	and	CCONJ
cana-6163	43	19	pooling	pool	VERB
cana-6163	43	20	layers	layer	NOUN
cana-6163	43	21	extract	extract	VERB
cana-6163	43	22	features	feature	NOUN
cana-6163	43	23	,	,	PUNCT
cana-6163	43	24	and	and	CCONJ
cana-6163	43	25	a	a	DET
cana-6163	43	26	fully	fully	ADV
cana-6163	43	27	connected	connect	VERB
cana-6163	43	28	layer	layer	NOUN
cana-6163	43	29	performs	perform	VERB
cana-6163	43	30	classification	classification	NOUN
cana-6163	43	31	based	base	VERB
cana-6163	43	32	on	on	ADP
cana-6163	43	33	the	the	DET
cana-6163	43	34	trained	train	VERB
cana-6163	43	35	model	model	NOUN
cana-6163	43	36	.	.	PUNCT
cana-6163	44	1	according	accord	VERB
cana-6163	44	2	to	to	ADP
cana-6163	44	3	[	[	X
cana-6163	44	4	7	7	NUM
cana-6163	44	5	]	]	X
cana-6163	44	6	underwater	underwater	ADJ
cana-6163	44	7	video	video	NOUN
cana-6163	44	8	footage	footage	NOUN
cana-6163	44	9	serves	serve	VERB
cana-6163	44	10	as	as	ADP
cana-6163	44	11	the	the	DET
cana-6163	44	12	primary	primary	ADJ
cana-6163	44	13	source	source	NOUN
cana-6163	44	14	of	of	ADP
cana-6163	44	15	information	information	NOUN
cana-6163	44	16	for	for	ADP
cana-6163	44	17	human	human	ADJ
cana-6163	44	18	endeavors	endeavor	NOUN
cana-6163	44	19	in	in	ADP
cana-6163	44	20	ocean	ocean	PROPN
cana-6163	44	21	research	research	NOUN
cana-6163	44	22	and	and	CCONJ
cana-6163	44	23	development	development	NOUN
cana-6163	44	24	.	.	PUNCT
cana-6163	45	1	this	this	DET
cana-6163	45	2	work	work	NOUN
cana-6163	45	3	initially	initially	ADV
cana-6163	45	4	explores	explore	VERB
cana-6163	45	5	the	the	DET
cana-6163	45	6	imaging	imaging	NOUN
cana-6163	45	7	principles	principle	NOUN
cana-6163	45	8	governing	govern	VERB
cana-6163	45	9	underwater	underwater	ADJ
cana-6163	45	10	visuals	visual	NOUN
cana-6163	45	11	,	,	PUNCT
cana-6163	45	12	elucidates	elucidate	VERB
cana-6163	45	13	the	the	DET
cana-6163	45	14	factors	factor	NOUN
cana-6163	45	15	contributing	contribute	VERB
cana-6163	45	16	to	to	ADP
cana-6163	45	17	their	their	PRON
cana-6163	45	18	quality	quality	NOUN
cana-6163	45	19	degradation	degradation	NOUN
cana-6163	45	20	,	,	PUNCT
cana-6163	45	21	and	and	CCONJ
cana-6163	45	22	offers	offer	VERB
cana-6163	45	23	a	a	DET
cana-6163	45	24	concise	concise	ADJ
cana-6163	45	25	classification	classification	NOUN
cana-6163	45	26	of	of	ADP
cana-6163	45	27	current	current	ADJ
cana-6163	45	28	augmentation	augmentation	NOUN
cana-6163	45	29	strategies	strategy	NOUN
cana-6163	45	30	.	.	PUNCT
cana-6163	46	1	it	it	PRON
cana-6163	46	2	subsequently	subsequently	ADV
cana-6163	46	3	underscores	underscore	VERB
cana-6163	46	4	the	the	DET
cana-6163	46	5	significance	significance	NOUN
cana-6163	46	6	of	of	ADP
cana-6163	46	7	contemporary	contemporary	ADJ
cana-6163	46	8	deep	deep	ADJ
cana-6163	46	9	learning	learning	NOUN
cana-6163	46	10	methodologies	methodology	NOUN
cana-6163	46	11	in	in	ADP
cana-6163	46	12	enhancing	enhance	VERB
cana-6163	46	13	underwater	underwater	ADJ
cana-6163	46	14	image	image	NOUN
cana-6163	46	15	quality	quality	NOUN
cana-6163	46	16	and	and	CCONJ
cana-6163	46	17	accentuates	accentuate	VERB
cana-6163	46	18	progress	progress	NOUN
cana-6163	46	19	in	in	ADP
cana-6163	46	20	underwater	underwater	ADJ
cana-6163	46	21	video	video	NOUN
cana-6163	46	22	improvement	improvement	NOUN
cana-6163	46	23	technology	technology	NOUN
cana-6163	46	24	.	.	PUNCT
cana-6163	47	1	in	in	ADP
cana-6163	47	2	[	[	X
cana-6163	47	3	8	8	NUM
cana-6163	47	4	]	]	PUNCT
cana-6163	47	5	the	the	DET
cana-6163	47	6	findings	finding	NOUN
cana-6163	47	7	of	of	ADP
cana-6163	47	8	this	this	DET
cana-6163	47	9	study	study	NOUN
cana-6163	47	10	confirm	confirm	VERB
cana-6163	47	11	that	that	SCONJ
cana-6163	47	12	unexplored	unexplored	ADJ
cana-6163	47	13	underwater	underwater	ADJ
cana-6163	47	14	environments	environment	NOUN
cana-6163	47	15	can	can	AUX
cana-6163	47	16	be	be	AUX
cana-6163	47	17	effectively	effectively	ADV
cana-6163	47	18	analyzed	analyze	VERB
cana-6163	47	19	using	use	VERB
cana-6163	47	20	both	both	CCONJ
cana-6163	47	21	traditional	traditional	ADJ
cana-6163	47	22	methods	method	NOUN
cana-6163	47	23	and	and	CCONJ
cana-6163	47	24	deep	deep	ADJ
cana-6163	47	25	learning	learning	NOUN
cana-6163	47	26	techniques	technique	NOUN
cana-6163	47	27	.	.	PUNCT
cana-6163	48	1	advanced	advanced	ADJ
cana-6163	48	2	deep	deep	ADJ
cana-6163	48	3	learning	learning	NOUN
cana-6163	48	4	models	model	NOUN
cana-6163	48	5	,	,	PUNCT
cana-6163	48	6	such	such	ADJ
cana-6163	48	7	as	as	ADP
cana-6163	48	8	complex	complex	ADJ
cana-6163	48	9	neural	neural	ADJ
cana-6163	48	10	networks	network	NOUN
cana-6163	48	11	,	,	PUNCT
cana-6163	48	12	have	have	AUX
cana-6163	48	13	proven	prove	VERB
cana-6163	48	14	capable	capable	ADJ
cana-6163	48	15	of	of	ADP
cana-6163	48	16	identifying	identify	VERB
cana-6163	48	17	and	and	CCONJ
cana-6163	48	18	classifying	classify	VERB
cana-6163	48	19	various	various	ADJ
cana-6163	48	20	underwater	underwater	ADJ
cana-6163	48	21	elements	element	NOUN
cana-6163	48	22	,	,	PUNCT
cana-6163	48	23	even	even	ADV
cana-6163	48	24	when	when	SCONJ
cana-6163	48	25	image	image	NOUN
cana-6163	48	26	quality	quality	NOUN
cana-6163	48	27	is	be	AUX
cana-6163	48	28	suboptimal	suboptimal	ADJ
cana-6163	48	29	.	.	PUNCT
cana-6163	49	1	enhancing	enhance	VERB
cana-6163	49	2	and	and	CCONJ
cana-6163	49	3	refining	refining	NOUN
cana-6163	49	4	underwater	underwater	ADJ
cana-6163	49	5	images	image	NOUN
cana-6163	49	6	is	be	AUX
cana-6163	49	7	also	also	ADV
cana-6163	49	8	crucial	crucial	ADJ
cana-6163	49	9	,	,	PUNCT
cana-6163	49	10	as	as	SCONJ
cana-6163	49	11	clearer	clear	ADJ
cana-6163	49	12	visuals	visual	NOUN
cana-6163	49	13	can	can	AUX
cana-6163	49	14	simplify	simplify	VERB
cana-6163	49	15	feature	feature	NOUN
cana-6163	49	16	extraction	extraction	NOUN
cana-6163	49	17	and	and	CCONJ
cana-6163	49	18	lead	lead	VERB
cana-6163	49	19	to	to	ADP
cana-6163	49	20	improved	improve	VERB
cana-6163	49	21	classification	classification	NOUN
cana-6163	49	22	accuracy	accuracy	NOUN
cana-6163	49	23	.	.	PUNCT
cana-6163	50	1	further	further	ADJ
cana-6163	50	2	exploration	exploration	NOUN
cana-6163	50	3	of	of	ADP
cana-6163	50	4	these	these	DET
cana-6163	50	5	enhancement	enhancement	NOUN
cana-6163	50	6	methods	method	NOUN
cana-6163	50	7	would	would	AUX
cana-6163	50	8	be	be	AUX
cana-6163	50	9	valuable	valuable	ADJ
cana-6163	50	10	,	,	PUNCT
cana-6163	50	11	as	as	SCONJ
cana-6163	50	12	they	they	PRON
cana-6163	50	13	can	can	AUX
cana-6163	50	14	significantly	significantly	ADV
cana-6163	50	15	reduce	reduce	VERB
cana-6163	50	16	the	the	DET
cana-6163	50	17	complexity	complexity	NOUN
cana-6163	50	18	of	of	ADP
cana-6163	50	19	later	later	ADJ
cana-6163	50	20	detection	detection	NOUN
cana-6163	50	21	tasks	task	NOUN
cana-6163	50	22	.	.	PUNCT
cana-6163	51	1	the	the	DET
cana-6163	51	2	combined	combined	ADJ
cana-6163	51	3	application	application	NOUN
cana-6163	51	4	of	of	ADP
cana-6163	51	5	conventional	conventional	ADJ
cana-6163	51	6	classifiers	classifier	NOUN
cana-6163	51	7	and	and	CCONJ
cana-6163	51	8	dl	dl	NOUN
cana-6163	51	9	-	-	PUNCT
cana-6163	51	10	based	base	VERB
cana-6163	51	11	approaches	approach	NOUN
cana-6163	51	12	for	for	ADP
cana-6163	51	13	identifying	identify	VERB
cana-6163	51	14	marine	marine	ADJ
cana-6163	51	15	species	specie	NOUN
cana-6163	51	16	—	—	PUNCT
cana-6163	51	17	and	and	CCONJ
cana-6163	51	18	subsequently	subsequently	ADV
cana-6163	51	19	evaluating	evaluate	VERB
cana-6163	51	20	their	their	PRON
cana-6163	51	21	surrounding	surround	VERB
cana-6163	51	22	environments	environment	NOUN
cana-6163	51	23	in	in	ADP
cana-6163	51	24	both	both	CCONJ
cana-6163	51	25	qualitative	qualitative	ADJ
cana-6163	51	26	and	and	CCONJ
cana-6163	51	27	quantitative	quantitative	ADJ
cana-6163	51	28	terms	term	NOUN
cana-6163	51	29	—	—	PUNCT
cana-6163	51	30	represents	represent	VERB
cana-6163	51	31	a	a	DET
cana-6163	51	32	meaningful	meaningful	ADJ
cana-6163	51	33	step	step	NOUN
cana-6163	51	34	forward	forward	ADV
cana-6163	51	35	in	in	ADP
cana-6163	51	36	this	this	DET
cana-6163	51	37	research	research	NOUN
cana-6163	51	38	domain	domain	NOUN
cana-6163	51	39	.	.	PUNCT
cana-6163	52	1	in	in	ADP
cana-6163	52	2	[	[	X
cana-6163	52	3	9	9	NUM
cana-6163	52	4	]	]	PUNCT
cana-6163	52	5	modified	modify	VERB
cana-6163	52	6	variation	variation	NOUN
cana-6163	52	7	of	of	ADP
cana-6163	52	8	mirnet	mirnet	NOUN
cana-6163	52	9	is	be	AUX
cana-6163	52	10	specifically	specifically	ADV
cana-6163	52	11	designed	design	VERB
cana-6163	52	12	for	for	ADP
cana-6163	52	13	underwater	underwater	ADJ
cana-6163	52	14	circumstances	circumstance	NOUN
cana-6163	52	15	,	,	PUNCT
cana-6163	52	16	successfully	successfully	ADV
cana-6163	52	17	mitigating	mitigate	VERB
cana-6163	52	18	vision	vision	NOUN
cana-6163	52	19	concerns	concern	NOUN
cana-6163	52	20	by	by	ADP
cana-6163	52	21	controlling	control	VERB
cana-6163	52	22	random	random	ADJ
cana-6163	52	23	brightness	brightness	NOUN
cana-6163	52	24	fluctuations	fluctuation	NOUN
cana-6163	52	25	.	.	PUNCT
cana-6163	53	1	the	the	DET
cana-6163	53	2	suggested	suggest	VERB
cana-6163	53	3	approach	approach	NOUN
cana-6163	53	4	,	,	PUNCT
cana-6163	53	5	in	in	ADP
cana-6163	53	6	contrast	contrast	NOUN
cana-6163	53	7	to	to	ADP
cana-6163	53	8	the	the	DET
cana-6163	53	9	original	original	ADJ
cana-6163	53	10	,	,	PUNCT
cana-6163	53	11	not	not	PART
cana-6163	53	12	only	only	ADV
cana-6163	53	13	adjusts	adjust	VERB
cana-6163	53	14	brightness	brightness	NOUN
cana-6163	53	15	but	but	CCONJ
cana-6163	53	16	also	also	ADV
cana-6163	53	17	augments	augment	VERB
cana-6163	53	18	the	the	DET
cana-6163	53	19	color	color	NOUN
cana-6163	53	20	richness	richness	NOUN
cana-6163	53	21	of	of	ADP
cana-6163	53	22	underwater	underwater	ADJ
cana-6163	53	23	photos	photo	NOUN
cana-6163	53	24	.	.	PUNCT
cana-6163	54	1	uice	uice	ADJ
cana-6163	54	2	-	-	PUNCT
cana-6163	54	3	mirnet	mirnet	NOUN
cana-6163	54	4	fundamentally	fundamentally	ADV
cana-6163	54	5	incorporates	incorporate	VERB
cana-6163	54	6	an	an	DET
cana-6163	54	7	uiceb	uiceb	NOUN
cana-6163	54	8	,	,	PUNCT
cana-6163	54	9	which	which	PRON
cana-6163	54	10	detects	detect	VERB
cana-6163	54	11	low	low	ADJ
cana-6163	54	12	-	-	PUNCT
cana-6163	54	13	color	color	NOUN
cana-6163	54	14	areas	area	NOUN
cana-6163	54	15	in	in	ADP
cana-6163	54	16	underwater	underwater	ADJ
cana-6163	54	17	images	image	NOUN
cana-6163	54	18	and	and	CCONJ
cana-6163	54	19	does	do	VERB
cana-6163	54	20	color	color	NOUN
cana-6163	54	21	restoration	restoration	NOUN
cana-6163	54	22	while	while	SCONJ
cana-6163	54	23	maintaining	maintain	VERB
cana-6163	54	24	critical	critical	ADJ
cana-6163	54	25	contextual	contextual	ADJ
cana-6163	54	26	information	information	NOUN
cana-6163	54	27	.	.	PUNCT
cana-6163	55	1	according	accord	VERB
cana-6163	55	2	to[10	to[10	NUM
cana-6163	55	3	]	]	PUNCT
cana-6163	55	4	underwater	underwater	ADJ
cana-6163	55	5	picture	picture	NOUN
cana-6163	55	6	data	datum	NOUN
cana-6163	55	7	from	from	ADP
cana-6163	55	8	the	the	DET
cana-6163	55	9	korean	korean	ADJ
cana-6163	55	10	seas	sea	NOUN
cana-6163	55	11	was	be	AUX
cana-6163	55	12	improved	improve	VERB
cana-6163	55	13	using	use	VERB
cana-6163	55	14	deep	deep	ADJ
cana-6163	55	15	learning	learning	NOUN
cana-6163	55	16	models	model	NOUN
cana-6163	55	17	specifically	specifically	ADV
cana-6163	55	18	developed	develop	VERB
cana-6163	55	19	for	for	ADP
cana-6163	55	20	underwater	underwater	ADJ
cana-6163	55	21	image	image	NOUN
cana-6163	55	22	restoration	restoration	NOUN
cana-6163	55	23	,	,	PUNCT
cana-6163	55	24	including	include	VERB
cana-6163	55	25	cyclegan	cyclegan	NOUN
cana-6163	55	26	,	,	PUNCT
cana-6163	55	27	underwater	underwater	NOUN
cana-6163	55	28	gan	gan	NOUN
cana-6163	55	29	,	,	PUNCT
cana-6163	55	30	and	and	CCONJ
cana-6163	55	31	fast	fast	ADJ
cana-6163	55	32	underwater	underwater	ADJ
cana-6163	55	33	picture	picture	NOUN
cana-6163	55	34	enhancement	enhancement	NOUN
cana-6163	55	35	gan	gan	NOUN
cana-6163	55	36	.	.	PUNCT
cana-6163	56	1	an	an	DET
cana-6163	56	2	image	image	NOUN
cana-6163	56	3	fusion	fusion	NOUN
cana-6163	56	4	methodology	methodology	NOUN
cana-6163	56	5	was	be	AUX
cana-6163	56	6	employed	employ	VERB
cana-6163	56	7	to	to	PART
cana-6163	56	8	enhance	enhance	VERB
cana-6163	56	9	optical	optical	ADJ
cana-6163	56	10	underwater	underwater	ADJ
cana-6163	56	11	photos	photo	NOUN
cana-6163	56	12	using	use	VERB
cana-6163	56	13	conventional	conventional	ADJ
cana-6163	56	14	image	image	NOUN
cana-6163	56	15	processing	processing	NOUN
cana-6163	56	16	methods	method	NOUN
cana-6163	56	17	.	.	PUNCT
cana-6163	57	1	to	to	PART
cana-6163	57	2	objectively	objectively	ADV
cana-6163	57	3	analyze	analyze	VERB
cana-6163	57	4	performance	performance	NOUN
cana-6163	57	5	,	,	PUNCT
cana-6163	57	6	two	two	NUM
cana-6163	57	7	standard	standard	ADJ
cana-6163	57	8	metrics	metric	NOUN
cana-6163	57	9	were	be	AUX
cana-6163	57	10	utilized	utilize	VERB
cana-6163	57	11	:	:	PUNCT
cana-6163	57	12	underwater	underwater	ADJ
cana-6163	57	13	image	image	NOUN
cana-6163	57	14	quality	quality	NOUN
cana-6163	57	15	measure	measure	NOUN
cana-6163	57	16	,	,	PUNCT
cana-6163	57	17	which	which	PRON
cana-6163	57	18	measures	measure	VERB
cana-6163	57	19	colorfulness	colorfulness	NOUN
cana-6163	57	20	,	,	PUNCT
cana-6163	57	21	sharpness	sharpness	NOUN
cana-6163	57	22	,	,	PUNCT
cana-6163	57	23	and	and	CCONJ
cana-6163	57	24	contrast	contrast	NOUN
cana-6163	57	25	,	,	PUNCT
cana-6163	57	26	and	and	CCONJ
cana-6163	57	27	uciqe	uciqe	NOUN
cana-6163	57	28	,	,	PUNCT
cana-6163	57	29	which	which	PRON
cana-6163	57	30	checks	check	VERB
cana-6163	57	31	chroma	chroma	NOUN
cana-6163	57	32	,	,	PUNCT
cana-6163	57	33	brightness	brightness	NOUN
cana-6163	57	34	,	,	PUNCT
cana-6163	57	35	and	and	CCONJ
cana-6163	57	36	saturation	saturation	NOUN
cana-6163	57	37	.	.	PUNCT
cana-6163	58	1	ii	ii	PROPN
cana-6163	58	2	.	.	PROPN
cana-6163	58	3	proposed	propose	VERB
cana-6163	58	4	system	system	NOUN
cana-6163	58	5	the	the	DET
cana-6163	58	6	proposed	propose	VERB
cana-6163	58	7	system	system	NOUN
cana-6163	58	8	integrates	integrate	VERB
cana-6163	58	9	underwater	underwater	ADJ
cana-6163	58	10	image	image	NOUN
cana-6163	58	11	enhancement	enhancement	NOUN
cana-6163	58	12	with	with	ADP
cana-6163	58	13	deep	deep	ADJ
cana-6163	58	14	learning	learning	NOUN
cana-6163	58	15	-	-	PUNCT
cana-6163	58	16	based	base	VERB
cana-6163	58	17	object	object	NOUN
cana-6163	58	18	detection	detection	NOUN
cana-6163	58	19	to	to	PART
cana-6163	58	20	improve	improve	VERB
cana-6163	58	21	visibility	visibility	NOUN
cana-6163	58	22	and	and	CCONJ
cana-6163	58	23	recognition	recognition	NOUN
cana-6163	58	24	in	in	ADP
cana-6163	58	25	challenging	challenge	VERB
cana-6163	58	26	underwater	underwater	ADJ
cana-6163	58	27	environments	environment	NOUN
cana-6163	58	28	.	.	PUNCT
cana-6163	59	1	the	the	DET
cana-6163	59	2	framework	framework	NOUN
cana-6163	59	3	is	be	AUX
cana-6163	59	4	divided	divide	VERB
cana-6163	59	5	into	into	ADP
cana-6163	59	6	two	two	NUM
cana-6163	59	7	main	main	ADJ
cana-6163	59	8	stages	stage	NOUN
cana-6163	59	9	:	:	PUNCT
cana-6163	59	10	image	image	NOUN
cana-6163	59	11	enhancement	enhancement	NOUN
cana-6163	59	12	:	:	PUNCT
cana-6163	59	13	a	a	DET
cana-6163	59	14	unet	unet	NOUN
cana-6163	59	15	-	-	PUNCT
cana-6163	59	16	based	base	VERB
cana-6163	59	17	model	model	NOUN
cana-6163	59	18	is	be	AUX
cana-6163	59	19	employed	employ	VERB
cana-6163	59	20	to	to	PART
cana-6163	59	21	restore	restore	VERB
cana-6163	59	22	degraded	degraded	ADJ
cana-6163	59	23	underwater	underwater	ADJ
cana-6163	59	24	images	image	NOUN
cana-6163	59	25	by	by	ADP
cana-6163	59	26	correcting	correct	VERB
cana-6163	59	27	color	color	NOUN
cana-6163	59	28	distortions	distortion	NOUN
cana-6163	59	29	,	,	PUNCT
cana-6163	59	30	reducing	reduce	VERB
cana-6163	59	31	noise	noise	NOUN
cana-6163	59	32	,	,	PUNCT
cana-6163	59	33	and	and	CCONJ
cana-6163	59	34	enhancing	enhance	VERB
cana-6163	59	35	structural	structural	ADJ
cana-6163	59	36	details	detail	NOUN
cana-6163	59	37	.	.	PUNCT
cana-6163	60	1	the	the	DET
cana-6163	60	2	model	model	NOUN
cana-6163	60	3	is	be	AUX
cana-6163	60	4	optimized	optimize	VERB
cana-6163	60	5	using	use	VERB
cana-6163	60	6	a	a	DET
cana-6163	60	7	hybrid	hybrid	ADJ
cana-6163	60	8	loss	loss	NOUN
cana-6163	60	9	function	function	NOUN
cana-6163	60	10	combining	combine	VERB
cana-6163	60	11	l1	l1	PROPN
cana-6163	60	12	loss	loss	NOUN
cana-6163	60	13	and	and	CCONJ
cana-6163	60	14	the	the	DET
cana-6163	60	15	ssim	ssim	NOUN
cana-6163	60	16	index	index	NOUN
cana-6163	60	17	,	,	PUNCT
cana-6163	60	18	ensuring	ensure	VERB
cana-6163	60	19	both	both	CCONJ
cana-6163	60	20	pixel	pixel	ADJ
cana-6163	60	21	-	-	PUNCT
cana-6163	60	22	level	level	NOUN
cana-6163	60	23	accuracy	accuracy	NOUN
cana-6163	60	24	and	and	CCONJ
cana-6163	60	25	perceptual	perceptual	ADJ
cana-6163	60	26	quality	quality	NOUN
cana-6163	60	27	.	.	PUNCT
cana-6163	61	1	object	object	NOUN
cana-6163	61	2	detection	detection	NOUN
cana-6163	61	3	:	:	PUNCT
cana-6163	61	4	the	the	DET
cana-6163	61	5	enhanced	enhance	VERB
cana-6163	61	6	images	image	NOUN
cana-6163	61	7	are	be	AUX
cana-6163	61	8	passed	pass	VERB
cana-6163	61	9	to	to	ADP
cana-6163	61	10	the	the	DET
cana-6163	61	11	yolo	yolo	ADJ
cana-6163	61	12	8l	8l	NUM
cana-6163	61	13	detection	detection	NOUN
cana-6163	61	14	model	model	NOUN
cana-6163	61	15	,	,	PUNCT
cana-6163	61	16	which	which	PRON
cana-6163	61	17	provides	provide	VERB
cana-6163	61	18	real	real	ADJ
cana-6163	61	19	-	-	PUNCT
cana-6163	61	20	time	time	NOUN
cana-6163	61	21	and	and	CCONJ
cana-6163	61	22	accurate	accurate	ADJ
cana-6163	61	23	identification	identification	NOUN
cana-6163	61	24	of	of	ADP
cana-6163	61	25	underwater	underwater	ADJ
cana-6163	61	26	objects	object	NOUN
cana-6163	61	27	.	.	PUNCT
cana-6163	62	1	yolo	yolo	ADJ
cana-6163	62	2	8l	8l	NOUN
cana-6163	62	3	is	be	AUX
cana-6163	62	4	chosen	choose	VERB
cana-6163	62	5	for	for	ADP
cana-6163	62	6	communications	communication	NOUN
cana-6163	62	7	on	on	ADP
cana-6163	62	8	applied	apply	VERB
cana-6163	62	9	nonlinear	nonlinear	ADJ
cana-6163	62	10	analysis	analysis	NOUN
cana-6163	62	11	issn	issn	NOUN
cana-6163	62	12	:	:	PUNCT
cana-6163	62	13	1074	1074	NUM
cana-6163	62	14	-	-	PUNCT
cana-6163	62	15	133x	133x	NUM
cana-6163	62	16	vol	vol	VERB
cana-6163	62	17	32	32	NUM
cana-6163	62	18	no	no	NOUN
cana-6163	62	19	.	.	PUNCT
cana-6163	63	1	10s	10	NOUN
cana-6163	63	2	(	(	PUNCT
cana-6163	63	3	2025	2025	NUM
cana-6163	63	4	)	)	PUNCT
cana-6163	63	5	3516	3516	NUM
cana-6163	63	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6163	64	1	its	its	PRON
cana-6163	64	2	lightweight	lightweight	ADJ
cana-6163	64	3	architecture	architecture	NOUN
cana-6163	64	4	,	,	PUNCT
cana-6163	64	5	high	high	ADJ
cana-6163	64	6	detection	detection	NOUN
cana-6163	64	7	accuracy	accuracy	NOUN
cana-6163	64	8	,	,	PUNCT
cana-6163	64	9	and	and	CCONJ
cana-6163	64	10	ability	ability	NOUN
cana-6163	64	11	to	to	PART
cana-6163	64	12	process	process	VERB
cana-6163	64	13	multiple	multiple	ADJ
cana-6163	64	14	object	object	NOUN
cana-6163	64	15	categories	category	NOUN
cana-6163	64	16	simultaneously	simultaneously	ADV
cana-6163	64	17	.	.	PUNCT
cana-6163	65	1	figure	figure	VERB
cana-6163	65	2	1	1	NUM
cana-6163	65	3	:	:	PUNCT
cana-6163	65	4	architecture	architecture	NOUN
cana-6163	65	5	of	of	ADP
cana-6163	65	6	our	our	PRON
cana-6163	65	7	model	model	NOUN
cana-6163	65	8	the	the	DET
cana-6163	65	9	yolov8l	yolov8l	PROPN
cana-6163	65	10	detection	detection	NOUN
cana-6163	65	11	model	model	NOUN
cana-6163	65	12	is	be	AUX
cana-6163	65	13	a	a	DET
cana-6163	65	14	large	large	ADJ
cana-6163	65	15	variant	variant	NOUN
cana-6163	65	16	of	of	ADP
cana-6163	65	17	the	the	DET
cana-6163	65	18	yolov8	yolov8	NOUN
cana-6163	65	19	family	family	NOUN
cana-6163	65	20	,	,	PUNCT
cana-6163	65	21	designed	design	VERB
cana-6163	65	22	for	for	ADP
cana-6163	65	23	object	object	NOUN
cana-6163	65	24	detection	detection	NOUN
cana-6163	65	25	,	,	PUNCT
cana-6163	65	26	segmentation	segmentation	NOUN
cana-6163	65	27	,	,	PUNCT
cana-6163	65	28	and	and	CCONJ
cana-6163	65	29	classification	classification	NOUN
cana-6163	65	30	tasks	task	NOUN
cana-6163	65	31	.	.	PUNCT
cana-6163	66	1	it	it	PRON
cana-6163	66	2	balances	balance	VERB
cana-6163	66	3	accuracy	accuracy	NOUN
cana-6163	66	4	and	and	CCONJ
cana-6163	66	5	speed	speed	NOUN
cana-6163	66	6	,	,	PUNCT
cana-6163	66	7	making	make	VERB
cana-6163	66	8	it	it	PRON
cana-6163	66	9	suitable	suitable	ADJ
cana-6163	66	10	for	for	ADP
cana-6163	66	11	high	high	ADJ
cana-6163	66	12	-	-	PUNCT
cana-6163	66	13	performance	performance	NOUN
cana-6163	66	14	detection	detection	NOUN
cana-6163	66	15	scenarios	scenario	NOUN
cana-6163	66	16	.	.	PUNCT
cana-6163	67	1	•	•	NOUN
cana-6163	67	2	architecture	architecture	NOUN
cana-6163	67	3	:	:	PUNCT
cana-6163	67	4	yolov8l	yolov8l	PROPN
cana-6163	67	5	uses	use	VERB
cana-6163	67	6	a	a	DET
cana-6163	67	7	csp	csp	PROPN
cana-6163	67	8	darknet	darknet	PROPN
cana-6163	67	9	-	-	PUNCT
cana-6163	67	10	based	base	VERB
cana-6163	67	11	backbone	backbone	NOUN
cana-6163	67	12	with	with	ADP
cana-6163	67	13	convolutional	convolutional	ADJ
cana-6163	67	14	layers	layer	NOUN
cana-6163	67	15	,	,	PUNCT
cana-6163	67	16	sppf	sppf	ADJ
cana-6163	67	17	(	(	PUNCT
cana-6163	67	18	spatial	spatial	ADJ
cana-6163	67	19	pyramid	pyramid	NOUN
cana-6163	67	20	pooling	pool	VERB
cana-6163	67	21	–	–	PUNCT
cana-6163	67	22	fast	fast	ADV
cana-6163	67	23	)	)	PUNCT
cana-6163	67	24	,	,	PUNCT
cana-6163	67	25	and	and	CCONJ
cana-6163	67	26	a	a	DET
cana-6163	67	27	pan	pan	ADJ
cana-6163	67	28	-	-	ADJ
cana-6163	67	29	fpn	fpn	ADJ
cana-6163	67	30	neck	neck	NOUN
cana-6163	67	31	for	for	ADP
cana-6163	67	32	multi	multi	ADJ
cana-6163	67	33	-	-	ADJ
cana-6163	67	34	scale	scale	ADJ
cana-6163	67	35	feature	feature	NOUN
cana-6163	67	36	fusion	fusion	NOUN
cana-6163	67	37	,	,	PUNCT
cana-6163	67	38	followed	follow	VERB
cana-6163	67	39	by	by	ADP
cana-6163	67	40	detection	detection	NOUN
cana-6163	67	41	heads	head	NOUN
cana-6163	67	42	.	.	PUNCT
cana-6163	68	1	•	•	NUM
cana-6163	68	2	input	input	NOUN
cana-6163	68	3	size	size	NOUN
cana-6163	68	4	:	:	PUNCT
cana-6163	68	5	typically	typically	ADV
cana-6163	68	6	640×640	640×640	NUM
cana-6163	68	7	pixels	pixel	NOUN
cana-6163	68	8	(	(	PUNCT
cana-6163	68	9	but	but	CCONJ
cana-6163	68	10	configurable	configurable	ADJ
cana-6163	68	11	)	)	PUNCT
cana-6163	68	12	.	.	PUNCT
cana-6163	69	1	•	•	NUM
cana-6163	69	2	performance	performance	NOUN
cana-6163	69	3	:	:	PUNCT
cana-6163	69	4	compared	compare	VERB
cana-6163	69	5	to	to	ADP
cana-6163	69	6	smaller	small	ADJ
cana-6163	69	7	yolov8	yolov8	NOUN
cana-6163	69	8	versions	version	NOUN
cana-6163	69	9	(	(	PUNCT
cana-6163	69	10	n	n	CCONJ
cana-6163	69	11	,	,	PUNCT
cana-6163	69	12	s	s	X
cana-6163	69	13	,	,	PUNCT
cana-6163	69	14	m	m	PROPN
cana-6163	69	15	)	)	PUNCT
cana-6163	69	16	,	,	PUNCT
cana-6163	69	17	the	the	DET
cana-6163	69	18	l	l	NOUN
cana-6163	69	19	(	(	PUNCT
cana-6163	69	20	large	large	ADJ
cana-6163	69	21	)	)	PUNCT
cana-6163	69	22	model	model	NOUN
cana-6163	69	23	achieves	achieve	VERB
cana-6163	69	24	higher	high	ADJ
cana-6163	69	25	accuracy	accuracy	NOUN
cana-6163	69	26	(	(	PUNCT
cana-6163	69	27	map	map	NOUN
cana-6163	69	28	)	)	PUNCT
cana-6163	69	29	but	but	CCONJ
cana-6163	69	30	requires	require	VERB
cana-6163	69	31	more	more	ADJ
cana-6163	69	32	gpu	gpu	NOUN
cana-6163	69	33	memory	memory	NOUN
cana-6163	69	34	and	and	CCONJ
cana-6163	69	35	computational	computational	ADJ
cana-6163	69	36	resources	resource	NOUN
cana-6163	69	37	.	.	PUNCT
cana-6163	70	1	•	•	NUM
cana-6163	70	2	use	use	NOUN
cana-6163	70	3	cases	case	NOUN
cana-6163	70	4	:	:	PUNCT
cana-6163	70	5	suitable	suitable	ADJ
cana-6163	70	6	for	for	ADP
cana-6163	70	7	applications	application	NOUN
cana-6163	70	8	requiring	require	VERB
cana-6163	70	9	high	high	ADJ
cana-6163	70	10	accuracy	accuracy	NOUN
cana-6163	70	11	,	,	PUNCT
cana-6163	70	12	such	such	ADJ
cana-6163	70	13	as	as	ADP
cana-6163	70	14	medical	medical	ADJ
cana-6163	70	15	image	image	NOUN
cana-6163	70	16	detection	detection	NOUN
cana-6163	70	17	,	,	PUNCT
cana-6163	70	18	traffic	traffic	NOUN
cana-6163	70	19	surveillance	surveillance	NOUN
cana-6163	70	20	,	,	PUNCT
cana-6163	70	21	and	and	CCONJ
cana-6163	70	22	industrial	industrial	ADJ
cana-6163	70	23	defect	defect	NOUN
cana-6163	70	24	inspection	inspection	NOUN
cana-6163	70	25	.	.	PUNCT
cana-6163	71	1	iii	iii	X
cana-6163	71	2	.	.	PROPN
cana-6163	71	3	results	result	VERB
cana-6163	71	4	the	the	DET
cana-6163	71	5	detection	detection	NOUN
cana-6163	71	6	performance	performance	NOUN
cana-6163	71	7	of	of	ADP
cana-6163	71	8	the	the	DET
cana-6163	71	9	yolov8l	yolov8l	PROPN
cana-6163	71	10	model	model	NOUN
cana-6163	71	11	was	be	AUX
cana-6163	71	12	evaluated	evaluate	VERB
cana-6163	71	13	on	on	ADP
cana-6163	71	14	the	the	DET
cana-6163	71	15	test	test	NOUN
cana-6163	71	16	dataset	dataset	NOUN
cana-6163	71	17	,	,	PUNCT
cana-6163	71	18	demonstrating	demonstrate	VERB
cana-6163	71	19	accurate	accurate	ADJ
cana-6163	71	20	object	object	NOUN
cana-6163	71	21	identification	identification	NOUN
cana-6163	71	22	across	across	ADP
cana-6163	71	23	various	various	ADJ
cana-6163	71	24	scenarios	scenario	NOUN
cana-6163	71	25	.	.	PUNCT
cana-6163	72	1	to	to	PART
cana-6163	72	2	further	far	ADV
cana-6163	72	3	improve	improve	VERB
cana-6163	72	4	image	image	NOUN
cana-6163	72	5	quality	quality	NOUN
cana-6163	72	6	and	and	CCONJ
cana-6163	72	7	detection	detection	NOUN
cana-6163	72	8	reliability	reliability	NOUN
cana-6163	72	9	,	,	PUNCT
cana-6163	72	10	researchers	researcher	NOUN
cana-6163	72	11	applied	apply	VERB
cana-6163	72	12	a	a	DET
cana-6163	72	13	u	u	ADJ
cana-6163	72	14	-	-	ADJ
cana-6163	72	15	net	net	ADJ
cana-6163	72	16	-	-	PUNCT
cana-6163	72	17	based	base	VERB
cana-6163	72	18	image	image	NOUN
cana-6163	72	19	enhancement	enhancement	NOUN
cana-6163	72	20	algorithm	algorithm	NOUN
cana-6163	72	21	and	and	CCONJ
cana-6163	72	22	analyzed	analyze	VERB
cana-6163	72	23	its	its	PRON
cana-6163	72	24	effectiveness	effectiveness	NOUN
cana-6163	72	25	using	use	VERB
cana-6163	72	26	the	the	DET
cana-6163	72	27	combined	combine	VERB
cana-6163	72	28	l1	l1	PROPN
cana-6163	72	29	loss	loss	NOUN
cana-6163	72	30	and	and	CCONJ
cana-6163	72	31	ssim	ssim	NOUN
cana-6163	72	32	index	index	NOUN
cana-6163	72	33	.	.	PUNCT
cana-6163	73	1	the	the	DET
cana-6163	73	2	resulting	result	VERB
cana-6163	73	3	loss	loss	NOUN
cana-6163	73	4	curve	curve	NOUN
cana-6163	73	5	indicates	indicate	VERB
cana-6163	73	6	that	that	SCONJ
cana-6163	73	7	the	the	DET
cana-6163	73	8	model	model	NOUN
cana-6163	73	9	converges	converge	VERB
cana-6163	73	10	steadily	steadily	ADV
cana-6163	73	11	,	,	PUNCT
cana-6163	73	12	with	with	ADP
cana-6163	73	13	l1	l1	PROPN
cana-6163	73	14	loss	loss	NOUN
cana-6163	73	15	decreasing	decrease	VERB
cana-6163	73	16	over	over	ADP
cana-6163	73	17	epochs	epoch	NOUN
cana-6163	73	18	while	while	SCONJ
cana-6163	73	19	the	the	DET
cana-6163	73	20	ssim	ssim	NOUN
cana-6163	73	21	index	index	NOUN
cana-6163	73	22	consistently	consistently	ADV
cana-6163	73	23	improves	improve	VERB
cana-6163	73	24	,	,	PUNCT
cana-6163	73	25	reflecting	reflect	VERB
cana-6163	73	26	enhanced	enhanced	ADJ
cana-6163	73	27	structural	structural	ADJ
cana-6163	73	28	similarity	similarity	NOUN
cana-6163	73	29	and	and	CCONJ
cana-6163	73	30	reduced	reduce	VERB
cana-6163	73	31	reconstruction	reconstruction	NOUN
cana-6163	73	32	errors	error	NOUN
cana-6163	73	33	in	in	ADP
cana-6163	73	34	the	the	DET
cana-6163	73	35	processed	process	VERB
cana-6163	73	36	images	image	NOUN
cana-6163	73	37	.	.	PUNCT
cana-6163	74	1	overall	overall	ADV
cana-6163	74	2	,	,	PUNCT
cana-6163	74	3	the	the	DET
cana-6163	74	4	integration	integration	NOUN
cana-6163	74	5	of	of	ADP
cana-6163	74	6	yolov8l	yolov8l	ADJ
cana-6163	74	7	detection	detection	NOUN
cana-6163	74	8	with	with	ADP
cana-6163	74	9	u	u	ADJ
cana-6163	74	10	-	-	ADJ
cana-6163	74	11	net	net	ADJ
cana-6163	74	12	enhancement	enhancement	NOUN
cana-6163	74	13	provides	provide	VERB
cana-6163	74	14	a	a	DET
cana-6163	74	15	robust	robust	ADJ
cana-6163	74	16	framework	framework	NOUN
cana-6163	74	17	for	for	ADP
cana-6163	74	18	precise	precise	ADJ
cana-6163	74	19	detection	detection	NOUN
cana-6163	74	20	and	and	CCONJ
cana-6163	74	21	improved	improve	VERB
cana-6163	74	22	image	image	NOUN
cana-6163	74	23	clarity	clarity	NOUN
cana-6163	74	24	.	.	PUNCT
cana-6163	75	1	the	the	DET
cana-6163	75	2	set	set	NOUN
cana-6163	75	3	of	of	ADP
cana-6163	75	4	images	image	NOUN
cana-6163	75	5	showcases	showcase	VERB
cana-6163	75	6	the	the	DET
cana-6163	75	7	steps	step	NOUN
cana-6163	75	8	involved	involve	VERB
cana-6163	75	9	in	in	ADP
cana-6163	75	10	detecting	detect	VERB
cana-6163	75	11	objects	object	NOUN
cana-6163	75	12	beneath	beneath	ADP
cana-6163	75	13	the	the	DET
cana-6163	75	14	water	water	NOUN
cana-6163	75	15	.	.	PUNCT
cana-6163	76	1	the	the	DET
cana-6163	76	2	first	first	ADJ
cana-6163	76	3	frame	frame	NOUN
cana-6163	76	4	displays	display	VERB
cana-6163	76	5	the	the	DET
cana-6163	76	6	original	original	ADJ
cana-6163	76	7	view	view	NOUN
cana-6163	76	8	of	of	ADP
cana-6163	76	9	a	a	DET
cana-6163	76	10	sea	sea	NOUN
cana-6163	76	11	ship	ship	NOUN
cana-6163	76	12	,	,	PUNCT
cana-6163	76	13	which	which	PRON
cana-6163	76	14	appears	appear	VERB
cana-6163	76	15	somewhat	somewhat	ADV
cana-6163	76	16	blurred	blurred	ADJ
cana-6163	76	17	due	due	ADJ
cana-6163	76	18	to	to	ADP
cana-6163	76	19	underwater	underwater	ADJ
cana-6163	76	20	visibility	visibility	NOUN
cana-6163	76	21	limitations	limitation	NOUN
cana-6163	76	22	.	.	PUNCT
cana-6163	77	1	in	in	ADP
cana-6163	77	2	the	the	DET
cana-6163	77	3	second	second	ADJ
cana-6163	77	4	frame	frame	NOUN
cana-6163	77	5	,	,	PUNCT
cana-6163	77	6	an	an	DET
cana-6163	77	7	image	image	NOUN
cana-6163	77	8	enhancement	enhancement	NOUN
cana-6163	77	9	algorithm	algorithm	NOUN
cana-6163	77	10	is	be	AUX
cana-6163	77	11	applied	apply	VERB
cana-6163	77	12	,	,	PUNCT
cana-6163	77	13	resulting	result	VERB
cana-6163	77	14	in	in	ADP
cana-6163	77	15	clearer	clear	ADJ
cana-6163	77	16	details	detail	NOUN
cana-6163	77	17	and	and	CCONJ
cana-6163	77	18	improved	improved	ADJ
cana-6163	77	19	contrast	contrast	NOUN
cana-6163	77	20	.	.	PUNCT
cana-6163	78	1	the	the	DET
cana-6163	78	2	final	final	ADJ
cana-6163	78	3	frame	frame	NOUN
cana-6163	78	4	illustrates	illustrate	VERB
cana-6163	78	5	the	the	DET
cana-6163	78	6	detection	detection	NOUN
cana-6163	78	7	phase	phase	NOUN
cana-6163	78	8	,	,	PUNCT
cana-6163	78	9	where	where	SCONJ
cana-6163	78	10	the	the	DET
cana-6163	78	11	yolo	yolo	ADJ
cana-6163	78	12	model	model	NOUN
cana-6163	78	13	successfully	successfully	ADV
cana-6163	78	14	identifies	identify	VERB
cana-6163	78	15	the	the	DET
cana-6163	78	16	ship	ship	NOUN
cana-6163	78	17	and	and	CCONJ
cana-6163	78	18	diver	diver	NOUN
cana-6163	78	19	,	,	PUNCT
cana-6163	78	20	assigning	assign	VERB
cana-6163	78	21	confidence	confidence	NOUN
cana-6163	78	22	scores	score	NOUN
cana-6163	78	23	of	of	ADP
cana-6163	78	24	0.85	0.85	NUM
cana-6163	78	25	,	,	PUNCT
cana-6163	78	26	0.27	0.27	NUM
cana-6163	78	27	,	,	PUNCT
cana-6163	78	28	and	and	CCONJ
cana-6163	78	29	0.84	0.84	NUM
cana-6163	78	30	,	,	PUNCT
cana-6163	78	31	each	each	PRON
cana-6163	78	32	marked	mark	VERB
cana-6163	78	33	with	with	ADP
cana-6163	78	34	bounding	bounding	NOUN
cana-6163	78	35	boxes	box	NOUN
cana-6163	78	36	.	.	PUNCT
cana-6163	79	1	communications	communication	NOUN
cana-6163	79	2	on	on	ADP
cana-6163	79	3	applied	apply	VERB
cana-6163	79	4	nonlinear	nonlinear	ADJ
cana-6163	79	5	analysis	analysis	NOUN
cana-6163	79	6	issn	issn	NOUN
cana-6163	79	7	:	:	PUNCT
cana-6163	79	8	1074	1074	NUM
cana-6163	79	9	-	-	PUNCT
cana-6163	79	10	133x	133x	NUM
cana-6163	79	11	vol	vol	VERB
cana-6163	79	12	32	32	NUM
cana-6163	79	13	no	no	NOUN
cana-6163	79	14	.	.	PUNCT
cana-6163	80	1	10s	10	NOUN
cana-6163	80	2	(	(	PUNCT
cana-6163	80	3	2025	2025	NUM
cana-6163	80	4	)	)	PUNCT
cana-6163	80	5	3517	3517	NUM
cana-6163	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6163	80	7	figure	figure	NOUN
cana-6163	80	8	2	2	NUM
cana-6163	80	9	:	:	PUNCT
cana-6163	80	10	enhanced	enhanced	ADJ
cana-6163	80	11	and	and	CCONJ
cana-6163	80	12	detection	detection	NOUN
cana-6163	80	13	results	result	VERB
cana-6163	80	14	the	the	DET
cana-6163	80	15	series	series	NOUN
cana-6163	80	16	of	of	ADP
cana-6163	80	17	images	image	NOUN
cana-6163	80	18	depicts	depict	VERB
cana-6163	80	19	the	the	DET
cana-6163	80	20	steps	step	NOUN
cana-6163	80	21	involved	involve	VERB
cana-6163	80	22	in	in	ADP
cana-6163	80	23	detecting	detect	VERB
cana-6163	80	24	objects	object	NOUN
cana-6163	80	25	underwater	underwater	NOUN
cana-6163	80	26	.	.	PUNCT
cana-6163	81	1	the	the	DET
cana-6163	81	2	initial	initial	ADJ
cana-6163	81	3	frame	frame	NOUN
cana-6163	81	4	displays	display	VERB
cana-6163	81	5	a	a	DET
cana-6163	81	6	sea	sea	NOUN
cana-6163	81	7	turtle	turtle	NOUN
cana-6163	81	8	,	,	PUNCT
cana-6163	81	9	slightly	slightly	ADV
cana-6163	81	10	obscured	obscure	VERB
cana-6163	81	11	by	by	ADP
cana-6163	81	12	underwater	underwater	ADJ
cana-6163	81	13	conditions	condition	NOUN
cana-6163	81	14	.	.	PUNCT
cana-6163	82	1	in	in	ADP
cana-6163	82	2	the	the	DET
cana-6163	82	3	next	next	ADJ
cana-6163	82	4	frame	frame	NOUN
cana-6163	82	5	,	,	PUNCT
cana-6163	82	6	an	an	DET
cana-6163	82	7	image	image	NOUN
cana-6163	82	8	enhancement	enhancement	NOUN
cana-6163	82	9	algorithm	algorithm	NOUN
cana-6163	82	10	is	be	AUX
cana-6163	82	11	applied	apply	VERB
cana-6163	82	12	,	,	PUNCT
cana-6163	82	13	resulting	result	VERB
cana-6163	82	14	in	in	ADP
cana-6163	82	15	improved	improved	ADJ
cana-6163	82	16	clarity	clarity	NOUN
cana-6163	82	17	and	and	CCONJ
cana-6163	82	18	contrast	contrast	NOUN
cana-6163	82	19	.	.	PUNCT
cana-6163	83	1	the	the	DET
cana-6163	83	2	final	final	ADJ
cana-6163	83	3	frame	frame	NOUN
cana-6163	83	4	shows	show	VERB
cana-6163	83	5	the	the	DET
cana-6163	83	6	detection	detection	NOUN
cana-6163	83	7	outcome	outcome	NOUN
cana-6163	83	8	,	,	PUNCT
cana-6163	83	9	where	where	SCONJ
cana-6163	83	10	the	the	DET
cana-6163	83	11	yolo	yolo	ADJ
cana-6163	83	12	model	model	NOUN
cana-6163	83	13	successfully	successfully	ADV
cana-6163	83	14	recognizes	recognize	VERB
cana-6163	83	15	the	the	DET
cana-6163	83	16	turtle	turtle	NOUN
cana-6163	83	17	,	,	PUNCT
cana-6163	83	18	marking	mark	VERB
cana-6163	83	19	it	it	PRON
cana-6163	83	20	with	with	ADP
cana-6163	83	21	a	a	DET
cana-6163	83	22	bounding	bounding	NOUN
cana-6163	83	23	box	box	NOUN
cana-6163	83	24	and	and	CCONJ
cana-6163	83	25	a	a	DET
cana-6163	83	26	confidence	confidence	NOUN
cana-6163	83	27	score	score	NOUN
cana-6163	83	28	of	of	ADP
cana-6163	83	29	0.89	0.89	NUM
cana-6163	83	30	.	.	PUNCT
cana-6163	84	1	figure	figure	NOUN
cana-6163	84	2	3	3	NUM
cana-6163	84	3	:	:	PUNCT
cana-6163	84	4	enhanced	enhanced	ADJ
cana-6163	84	5	and	and	CCONJ
cana-6163	84	6	detection	detection	NOUN
cana-6163	84	7	results	result	VERB
cana-6163	84	8	the	the	DET
cana-6163	84	9	x	x	NOUN
cana-6163	84	10	-	-	NOUN
cana-6163	84	11	axis	axis	ADJ
cana-6163	84	12	(	(	PUNCT
cana-6163	84	13	epoch	epoch	NOUN
cana-6163	84	14	)	)	PUNCT
cana-6163	84	15	denotes	denote	VERB
cana-6163	84	16	the	the	DET
cana-6163	84	17	total	total	ADJ
cana-6163	84	18	number	number	NOUN
cana-6163	84	19	of	of	ADP
cana-6163	84	20	complete	complete	ADJ
cana-6163	84	21	iterations	iteration	NOUN
cana-6163	84	22	over	over	ADP
cana-6163	84	23	the	the	DET
cana-6163	84	24	dataset	dataset	NOUN
cana-6163	84	25	,	,	PUNCT
cana-6163	84	26	whereas	whereas	SCONJ
cana-6163	84	27	the	the	DET
cana-6163	84	28	y	y	NOUN
cana-6163	84	29	-	-	PUNCT
cana-6163	84	30	axis	axis	NOUN
cana-6163	84	31	(	(	PUNCT
cana-6163	84	32	loss	loss	NOUN
cana-6163	84	33	)	)	PUNCT
cana-6163	84	34	reflects	reflect	VERB
cana-6163	84	35	the	the	DET
cana-6163	84	36	discrepancy	discrepancy	NOUN
cana-6163	84	37	between	between	ADP
cana-6163	84	38	anticipated	anticipated	ADJ
cana-6163	84	39	and	and	CCONJ
cana-6163	84	40	actual	actual	ADJ
cana-6163	84	41	outputs	output	NOUN
cana-6163	84	42	.	.	PUNCT
cana-6163	85	1	during	during	ADP
cana-6163	85	2	the	the	DET
cana-6163	85	3	initial	initial	ADJ
cana-6163	85	4	phase	phase	NOUN
cana-6163	85	5	(	(	PUNCT
cana-6163	85	6	epoch	epoch	NOUN
cana-6163	85	7	0–10	0–10	NOUN
cana-6163	85	8	)	)	PUNCT
cana-6163	85	9	,	,	PUNCT
cana-6163	85	10	the	the	DET
cana-6163	85	11	training	training	NOUN
cana-6163	85	12	loss	loss	NOUN
cana-6163	85	13	decreases	decrease	VERB
cana-6163	85	14	significantly	significantly	ADV
cana-6163	85	15	from	from	ADP
cana-6163	85	16	about	about	ADV
cana-6163	85	17	0.36	0.36	NUM
cana-6163	85	18	to	to	ADP
cana-6163	85	19	below	below	ADP
cana-6163	85	20	0.15	0.15	NUM
cana-6163	85	21	,	,	PUNCT
cana-6163	85	22	indicating	indicate	VERB
cana-6163	85	23	that	that	SCONJ
cana-6163	85	24	the	the	DET
cana-6163	85	25	model	model	NOUN
cana-6163	85	26	rapidly	rapidly	ADV
cana-6163	85	27	acquires	acquire	VERB
cana-6163	85	28	fundamental	fundamental	ADJ
cana-6163	85	29	patterns	pattern	NOUN
cana-6163	85	30	within	within	ADP
cana-6163	85	31	the	the	DET
cana-6163	85	32	data	datum	NOUN
cana-6163	85	33	.	.	PUNCT
cana-6163	86	1	as	as	ADP
cana-6163	86	2	training	training	NOUN
cana-6163	86	3	advances	advance	NOUN
cana-6163	86	4	over	over	ADP
cana-6163	86	5	50	50	NUM
cana-6163	86	6	epochs	epoch	NOUN
cana-6163	86	7	,	,	PUNCT
cana-6163	86	8	the	the	DET
cana-6163	86	9	loss	loss	NOUN
cana-6163	86	10	diminishes	diminish	VERB
cana-6163	86	11	at	at	ADP
cana-6163	86	12	a	a	DET
cana-6163	86	13	slower	slow	ADJ
cana-6163	86	14	rate	rate	NOUN
cana-6163	86	15	,	,	PUNCT
cana-6163	86	16	signifying	signify	VERB
cana-6163	86	17	the	the	DET
cana-6163	86	18	refinement	refinement	NOUN
cana-6163	86	19	of	of	ADP
cana-6163	86	20	the	the	DET
cana-6163	86	21	weights	weight	NOUN
cana-6163	86	22	.	.	PUNCT
cana-6163	87	1	after	after	ADP
cana-6163	87	2	approximately	approximately	ADV
cana-6163	87	3	200	200	NUM
cana-6163	87	4	epochs	epoch	NOUN
cana-6163	87	5	of	of	ADP
cana-6163	87	6	training	training	NOUN
cana-6163	87	7	,	,	PUNCT
cana-6163	87	8	the	the	DET
cana-6163	87	9	loss	loss	NOUN
cana-6163	87	10	stabilizes	stabilize	VERB
cana-6163	87	11	at	at	ADP
cana-6163	87	12	0.06	0.06	NUM
cana-6163	87	13	,	,	PUNCT
cana-6163	87	14	indicating	indicate	VERB
cana-6163	87	15	that	that	SCONJ
cana-6163	87	16	the	the	DET
cana-6163	87	17	model	model	NOUN
cana-6163	87	18	has	have	AUX
cana-6163	87	19	converged	converge	VERB
cana-6163	87	20	and	and	CCONJ
cana-6163	87	21	that	that	SCONJ
cana-6163	87	22	further	further	ADJ
cana-6163	87	23	training	training	NOUN
cana-6163	87	24	yields	yield	NOUN
cana-6163	87	25	minimal	minimal	ADJ
cana-6163	87	26	improvements	improvement	NOUN
cana-6163	87	27	.	.	PUNCT
cana-6163	88	1	figure	figure	VERB
cana-6163	88	2	4	4	NUM
cana-6163	88	3	:	:	PUNCT
cana-6163	88	4	training	train	VERB
cana-6163	88	5	loss	loss	NOUN
cana-6163	88	6	curve	curve	NOUN
cana-6163	88	7	results	result	VERB
cana-6163	88	8	communications	communication	NOUN
cana-6163	88	9	on	on	ADP
cana-6163	88	10	applied	apply	VERB
cana-6163	88	11	nonlinear	nonlinear	ADJ
cana-6163	88	12	analysis	analysis	NOUN
cana-6163	88	13	issn	issn	NOUN
cana-6163	88	14	:	:	PUNCT
cana-6163	88	15	1074	1074	NUM
cana-6163	88	16	-	-	PUNCT
cana-6163	88	17	133x	133x	NUM
cana-6163	88	18	vol	vol	VERB
cana-6163	88	19	32	32	NUM
cana-6163	88	20	no	no	NOUN
cana-6163	88	21	.	.	PUNCT
cana-6163	89	1	10s	10	NOUN
cana-6163	89	2	(	(	PUNCT
cana-6163	89	3	2025	2025	NUM
cana-6163	89	4	)	)	PUNCT
cana-6163	89	5	3518	3518	NUM
cana-6163	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6163	89	7	iv	iv	X
cana-6163	89	8	.	.	PUNCT
cana-6163	89	9	conclusion	conclusion	NOUN
cana-6163	89	10	the	the	DET
cana-6163	89	11	research	research	NOUN
cana-6163	89	12	effectively	effectively	ADV
cana-6163	89	13	illustrates	illustrate	VERB
cana-6163	89	14	that	that	SCONJ
cana-6163	89	15	deep	deep	ADJ
cana-6163	89	16	learning	learning	NOUN
cana-6163	89	17	methodologies	methodology	NOUN
cana-6163	89	18	may	may	AUX
cana-6163	89	19	markedly	markedly	ADV
cana-6163	89	20	elevate	elevate	VERB
cana-6163	89	21	underwater	underwater	ADJ
cana-6163	89	22	image	image	NOUN
cana-6163	89	23	quality	quality	NOUN
cana-6163	89	24	and	and	CCONJ
cana-6163	89	25	augment	augment	NOUN
cana-6163	89	26	item	item	NOUN
cana-6163	89	27	detection	detection	NOUN
cana-6163	89	28	efficacy	efficacy	NOUN
cana-6163	89	29	.	.	PUNCT
cana-6163	90	1	the	the	DET
cana-6163	90	2	unet	unet	NOUN
cana-6163	90	3	-	-	PUNCT
cana-6163	90	4	based	base	VERB
cana-6163	90	5	enhancement	enhancement	NOUN
cana-6163	90	6	technique	technique	NOUN
cana-6163	90	7	,	,	PUNCT
cana-6163	90	8	refined	refine	VERB
cana-6163	90	9	with	with	ADP
cana-6163	90	10	a	a	DET
cana-6163	90	11	composite	composite	ADJ
cana-6163	90	12	l1	l1	PROPN
cana-6163	90	13	loss	loss	NOUN
cana-6163	90	14	and	and	CCONJ
cana-6163	90	15	ssim	ssim	NOUN
cana-6163	90	16	index	index	NOUN
cana-6163	90	17	,	,	PUNCT
cana-6163	90	18	efficiently	efficiently	ADV
cana-6163	90	19	diminishes	diminish	VERB
cana-6163	90	20	noise	noise	NOUN
cana-6163	90	21	and	and	CCONJ
cana-6163	90	22	recovers	recover	VERB
cana-6163	90	23	intricate	intricate	ADJ
cana-6163	90	24	features	feature	NOUN
cana-6163	90	25	,	,	PUNCT
cana-6163	90	26	as	as	SCONJ
cana-6163	90	27	seen	see	VERB
cana-6163	90	28	by	by	ADP
cana-6163	90	29	the	the	DET
cana-6163	90	30	convergence	convergence	NOUN
cana-6163	90	31	of	of	ADP
cana-6163	90	32	the	the	DET
cana-6163	90	33	loss	loss	NOUN
cana-6163	90	34	curve	curve	NOUN
cana-6163	90	35	.	.	PUNCT
cana-6163	91	1	augmented	augment	VERB
cana-6163	91	2	photos	photo	NOUN
cana-6163	91	3	,	,	PUNCT
cana-6163	91	4	when	when	SCONJ
cana-6163	91	5	processed	process	VERB
cana-6163	91	6	using	use	VERB
cana-6163	91	7	the	the	DET
cana-6163	91	8	yolo	yolo	ADJ
cana-6163	91	9	8l	8l	NUM
cana-6163	91	10	detection	detection	NOUN
cana-6163	91	11	model	model	NOUN
cana-6163	91	12	,	,	PUNCT
cana-6163	91	13	produced	produce	VERB
cana-6163	91	14	very	very	ADV
cana-6163	91	15	precise	precise	ADJ
cana-6163	91	16	identification	identification	NOUN
cana-6163	91	17	of	of	ADP
cana-6163	91	18	underwater	underwater	ADJ
cana-6163	91	19	entities	entity	NOUN
cana-6163	91	20	,	,	PUNCT
cana-6163	91	21	including	include	VERB
cana-6163	91	22	shipwrecks	shipwreck	NOUN
cana-6163	91	23	and	and	CCONJ
cana-6163	91	24	divers	diver	NOUN
cana-6163	91	25	.	.	PUNCT
cana-6163	92	1	the	the	DET
cana-6163	92	2	testing	testing	NOUN
cana-6163	92	3	findings	finding	NOUN
cana-6163	92	4	confirm	confirm	VERB
cana-6163	92	5	that	that	SCONJ
cana-6163	92	6	the	the	DET
cana-6163	92	7	combination	combination	NOUN
cana-6163	92	8	of	of	ADP
cana-6163	92	9	picture	picture	NOUN
cana-6163	92	10	enhancement	enhancement	NOUN
cana-6163	92	11	and	and	CCONJ
cana-6163	92	12	object	object	NOUN
cana-6163	92	13	detection	detection	NOUN
cana-6163	92	14	establishes	establish	VERB
cana-6163	92	15	a	a	DET
cana-6163	92	16	strong	strong	ADJ
cana-6163	92	17	foundation	foundation	NOUN
cana-6163	92	18	for	for	ADP
cana-6163	92	19	evaluating	evaluate	VERB
cana-6163	92	20	difficult	difficult	ADJ
cana-6163	92	21	underwater	underwater	ADJ
cana-6163	92	22	situations	situation	NOUN
cana-6163	92	23	,	,	PUNCT
cana-6163	92	24	thereby	thereby	ADV
cana-6163	92	25	improving	improve	VERB
cana-6163	92	26	visual	visual	ADJ
cana-6163	92	27	clarity	clarity	NOUN
cana-6163	92	28	and	and	CCONJ
cana-6163	92	29	detection	detection	NOUN
cana-6163	92	30	reliability	reliability	NOUN
cana-6163	92	31	.	.	PUNCT
cana-6163	93	1	references	reference	NOUN
cana-6163	93	2	[	[	X
cana-6163	93	3	1	1	NUM
cana-6163	93	4	]	]	X
cana-6163	93	5	sasilatha	sasilatha	PROPN
cana-6163	93	6	,	,	PUNCT
cana-6163	93	7	thankappan	thankappan	NOUN
cana-6163	93	8	,	,	PUNCT
cana-6163	93	9	et	et	PROPN
cana-6163	93	10	al	al	PROPN
cana-6163	93	11	.	.	PUNCT
cana-6163	94	1	"	"	PUNCT
cana-6163	94	2	deep	deep	ADJ
cana-6163	94	3	learning	learning	NOUN
cana-6163	94	4	-	-	PUNCT
cana-6163	94	5	based	base	VERB
cana-6163	94	6	underwater	underwater	ADJ
cana-6163	94	7	metal	metal	NOUN
cana-6163	94	8	object	object	NOUN
cana-6163	94	9	detection	detection	NOUN
cana-6163	94	10	using	use	VERB
cana-6163	94	11	input	input	NOUN
cana-6163	94	12	image	image	NOUN
cana-6163	94	13	data	datum	NOUN
cana-6163	94	14	and	and	CCONJ
cana-6163	94	15	corrosion	corrosion	NOUN
cana-6163	94	16	protection	protection	NOUN
cana-6163	94	17	of	of	ADP
cana-6163	94	18	mild	mild	ADJ
cana-6163	94	19	steel	steel	NOUN
cana-6163	94	20	used	use	VERB
cana-6163	94	21	in	in	ADP
cana-6163	94	22	underwater	underwater	ADJ
cana-6163	94	23	study	study	NOUN
cana-6163	94	24	:	:	PUNCT
cana-6163	94	25	a	a	DET
cana-6163	94	26	case	case	NOUN
cana-6163	94	27	study	study	NOUN
cana-6163	94	28	:	:	PUNCT
cana-6163	94	29	part	part	NOUN
cana-6163	94	30	a	a	DET
cana-6163	94	31	:	:	PUNCT
cana-6163	94	32	deep	deep	ADJ
cana-6163	94	33	learning	learning	NOUN
cana-6163	94	34	-	-	PUNCT
cana-6163	94	35	based	base	VERB
cana-6163	94	36	underwater	underwater	ADJ
cana-6163	94	37	metal	metal	NOUN
cana-6163	94	38	object	object	NOUN
cana-6163	94	39	detection	detection	NOUN
cana-6163	94	40	using	use	VERB
cana-6163	94	41	input	input	NOUN
cana-6163	94	42	image	image	NOUN
cana-6163	94	43	data	datum	NOUN
cana-6163	94	44	.	.	PUNCT
cana-6163	94	45	"	"	PUNCT
cana-6163	95	1	zastita	zastita	PROPN
cana-6163	95	2	materijala	materijala	PROPN
cana-6163	95	3	63.1	63.1	NUM
cana-6163	95	4	(	(	PUNCT
cana-6163	95	5	2022	2022	NUM
cana-6163	95	6	):	):	PUNCT
cana-6163	95	7	5	5	NUM
cana-6163	95	8	-	-	SYM
cana-6163	95	9	14	14	NUM
cana-6163	95	10	.	.	PUNCT
cana-6163	96	1	[	[	X
cana-6163	96	2	2	2	NUM
cana-6163	96	3	]	]	PUNCT
cana-6163	96	4	er	er	INTJ
cana-6163	96	5	,	,	PUNCT
cana-6163	96	6	meng	meng	PROPN
cana-6163	96	7	joo	joo	PROPN
cana-6163	96	8	,	,	PUNCT
cana-6163	96	9	et	et	PROPN
cana-6163	96	10	al	al	PROPN
cana-6163	96	11	.	.	PUNCT
cana-6163	97	1	"	"	PUNCT
cana-6163	97	2	research	research	NOUN
cana-6163	97	3	challenges	challenge	NOUN
cana-6163	97	4	,	,	PUNCT
cana-6163	97	5	recent	recent	ADJ
cana-6163	97	6	advances	advance	NOUN
cana-6163	97	7	,	,	PUNCT
cana-6163	97	8	and	and	CCONJ
cana-6163	97	9	popular	popular	ADJ
cana-6163	97	10	datasets	dataset	NOUN
cana-6163	97	11	in	in	ADP
cana-6163	97	12	deep	deep	ADJ
cana-6163	97	13	learning	learning	NOUN
cana-6163	97	14	-	-	PUNCT
cana-6163	97	15	based	base	VERB
cana-6163	97	16	underwater	underwater	ADJ
cana-6163	97	17	marine	marine	ADJ
cana-6163	97	18	object	object	NOUN
cana-6163	97	19	detection	detection	NOUN
cana-6163	97	20	:	:	PUNCT
cana-6163	97	21	a	a	DET
cana-6163	97	22	review	review	NOUN
cana-6163	97	23	.	.	PUNCT
cana-6163	97	24	"	"	PUNCT
cana-6163	98	1	sensors	sensor	NOUN
cana-6163	98	2	23.4	23.4	NUM
cana-6163	98	3	(	(	PUNCT
cana-6163	98	4	2023	2023	NUM
cana-6163	98	5	):	):	PUNCT
cana-6163	98	6	1990	1990	NUM
cana-6163	98	7	.	.	PUNCT
cana-6163	99	1	[	[	X
cana-6163	99	2	3	3	NUM
cana-6163	99	3	]	]	X
cana-6163	99	4	kalaiarasi	kalaiarasi	PROPN
cana-6163	99	5	,	,	PUNCT
cana-6163	99	6	g.	g.	PROPN
cana-6163	99	7	,	,	PUNCT
cana-6163	99	8	et	et	PROPN
cana-6163	99	9	al	al	PROPN
cana-6163	99	10	.	.	PUNCT
cana-6163	100	1	"	"	PUNCT
cana-6163	100	2	a	a	DET
cana-6163	100	3	deep	deep	ADJ
cana-6163	100	4	learning	learning	NOUN
cana-6163	100	5	approach	approach	NOUN
cana-6163	100	6	to	to	ADP
cana-6163	100	7	detecting	detect	VERB
cana-6163	100	8	objects	object	NOUN
cana-6163	100	9	in	in	ADP
cana-6163	100	10	underwater	underwater	ADJ
cana-6163	100	11	images	image	NOUN
cana-6163	100	12	.	.	PUNCT
cana-6163	100	13	"	"	PUNCT
cana-6163	101	1	cybernetics	cybernetic	NOUN
cana-6163	101	2	and	and	CCONJ
cana-6163	101	3	systems	system	NOUN
cana-6163	101	4	(	(	PUNCT
cana-6163	101	5	2023	2023	NUM
cana-6163	101	6	)	)	PUNCT
cana-6163	101	7	.	.	PUNCT
cana-6163	102	1	[	[	X
cana-6163	102	2	4	4	NUM
cana-6163	102	3	]	]	X
cana-6163	102	4	dakhil	dakhil	PROPN
cana-6163	102	5	,	,	PUNCT
cana-6163	102	6	radhwan	radhwan	PROPN
cana-6163	102	7	adnan	adnan	PROPN
cana-6163	102	8	,	,	PUNCT
cana-6163	102	9	and	and	CCONJ
cana-6163	102	10	ali	ali	PROPN
cana-6163	102	11	retha	retha	PROPN
cana-6163	102	12	hasoon	hasoon	PROPN
cana-6163	102	13	khayeat	khayeat	PROPN
cana-6163	102	14	.	.	PUNCT
cana-6163	103	1	"	"	PUNCT
cana-6163	103	2	review	review	NOUN
cana-6163	103	3	on	on	ADP
cana-6163	103	4	deep	deep	ADJ
cana-6163	103	5	learning	learning	NOUN
cana-6163	103	6	technique	technique	NOUN
cana-6163	103	7	for	for	ADP
cana-6163	103	8	underwater	underwater	ADJ
cana-6163	103	9	object	object	NOUN
cana-6163	103	10	detection	detection	NOUN
cana-6163	103	11	.	.	PUNCT
cana-6163	103	12	"	"	PUNCT
cana-6163	104	1	arxiv	arxiv	PROPN
cana-6163	104	2	preprint	preprint	NOUN
cana-6163	104	3	arxiv:2209.10151	arxiv:2209.10151	NUM
cana-6163	104	4	(	(	PUNCT
cana-6163	104	5	2022	2022	NUM
cana-6163	104	6	)	)	PUNCT
cana-6163	104	7	.	.	PUNCT
cana-6163	105	1	[	[	X
cana-6163	105	2	5	5	X
cana-6163	105	3	]	]	X
cana-6163	105	4	arumuga	arumuga	ADJ
cana-6163	105	5	arun	arun	PROPN
cana-6163	105	6	,	,	PUNCT
cana-6163	105	7	r.	r.	PROPN
cana-6163	105	8	,	,	PUNCT
cana-6163	105	9	et	et	PROPN
cana-6163	105	10	al	al	PROPN
cana-6163	105	11	.	.	PUNCT
cana-6163	106	1	"	"	PUNCT
cana-6163	106	2	enhancement	enhancement	NOUN
cana-6163	106	3	and	and	CCONJ
cana-6163	106	4	detection	detection	NOUN
cana-6163	106	5	of	of	ADP
cana-6163	106	6	objects	object	NOUN
cana-6163	106	7	in	in	ADP
cana-6163	106	8	underwater	underwater	ADJ
cana-6163	106	9	images	image	NOUN
cana-6163	106	10	using	use	VERB
cana-6163	106	11	image	image	NOUN
cana-6163	106	12	super	super	ADJ
cana-6163	106	13	-	-	NOUN
cana-6163	106	14	resolution	resolution	NOUN
cana-6163	106	15	and	and	CCONJ
cana-6163	106	16	effective	effective	ADJ
cana-6163	106	17	object	object	NOUN
cana-6163	106	18	detection	detection	NOUN
cana-6163	106	19	model	model	NOUN
cana-6163	106	20	.	.	PUNCT
cana-6163	106	21	"	"	PUNCT
cana-6163	106	22	journal	journal	NOUN
cana-6163	106	23	of	of	ADP
cana-6163	106	24	scientific	scientific	ADJ
cana-6163	106	25	&	&	CCONJ
cana-6163	106	26	industrial	industrial	ADJ
cana-6163	106	27	research	research	PROPN
cana-6163	106	28	81.10	81.10	NUM
cana-6163	106	29	(	(	PUNCT
cana-6163	106	30	2022	2022	NUM
cana-6163	106	31	):	):	PUNCT
cana-6163	106	32	1050	1050	NUM
cana-6163	106	33	-	-	SYM
cana-6163	106	34	1060	1060	NUM
cana-6163	106	35	.	.	PUNCT
cana-6163	107	1	[	[	X
cana-6163	107	2	6	6	NUM
cana-6163	107	3	]	]	X
cana-6163	107	4	singh	singh	PROPN
cana-6163	107	5	,	,	PUNCT
cana-6163	107	6	mahendra	mahendra	PROPN
cana-6163	107	7	kumar	kumar	PROPN
cana-6163	107	8	,	,	PUNCT
cana-6163	107	9	et	et	PROPN
cana-6163	107	10	al	al	PROPN
cana-6163	107	11	.	.	PUNCT
cana-6163	108	1	"	"	PUNCT
cana-6163	108	2	an	an	DET
cana-6163	108	3	impirical	impirical	ADJ
cana-6163	108	4	approach	approach	NOUN
cana-6163	108	5	for	for	ADP
cana-6163	108	6	underwater	underwater	ADJ
cana-6163	108	7	image	image	NOUN
cana-6163	108	8	quality	quality	NOUN
cana-6163	108	9	enhancement	enhancement	NOUN
cana-6163	108	10	and	and	CCONJ
cana-6163	108	11	object	object	NOUN
cana-6163	108	12	detection	detection	NOUN
cana-6163	108	13	using	use	VERB
cana-6163	108	14	deep	deep	ADJ
cana-6163	108	15	learning	learning	NOUN
cana-6163	108	16	.	.	PUNCT
cana-6163	108	17	"	"	PUNCT
cana-6163	109	1	[	[	X
cana-6163	109	2	7	7	NUM
cana-6163	109	3	]	]	SYM
cana-6163	109	4	hu	hu	PROPN
cana-6163	109	5	,	,	PUNCT
cana-6163	109	6	kai	kai	PROPN
cana-6163	109	7	,	,	PUNCT
cana-6163	109	8	et	et	PROPN
cana-6163	109	9	al	al	PROPN
cana-6163	109	10	.	.	PUNCT
cana-6163	110	1	"	"	PUNCT
cana-6163	110	2	an	an	DET
cana-6163	110	3	overview	overview	NOUN
cana-6163	110	4	of	of	ADP
cana-6163	110	5	underwater	underwater	ADJ
cana-6163	110	6	vision	vision	NOUN
cana-6163	110	7	enhancement	enhancement	NOUN
cana-6163	110	8	:	:	PUNCT
cana-6163	110	9	from	from	ADP
cana-6163	110	10	traditional	traditional	ADJ
cana-6163	110	11	methods	method	NOUN
cana-6163	110	12	to	to	ADP
cana-6163	110	13	recent	recent	ADJ
cana-6163	110	14	deep	deep	ADJ
cana-6163	110	15	learning	learning	NOUN
cana-6163	110	16	.	.	PUNCT
cana-6163	110	17	"	"	PUNCT
cana-6163	111	1	journal	journal	NOUN
cana-6163	111	2	of	of	ADP
cana-6163	111	3	marine	marine	PROPN
cana-6163	111	4	science	science	NOUN
cana-6163	111	5	and	and	CCONJ
cana-6163	111	6	engineering	engineering	NOUN
cana-6163	111	7	10.2	10.2	NUM
cana-6163	111	8	(	(	PUNCT
cana-6163	111	9	2022	2022	NUM
cana-6163	111	10	):	):	PUNCT
cana-6163	111	11	241	241	NUM
cana-6163	111	12	.	.	PUNCT
cana-6163	112	1	[	[	X
cana-6163	112	2	8	8	NUM
cana-6163	112	3	]	]	X
cana-6163	112	4	lopez	lopez	NOUN
cana-6163	112	5	-	-	PUNCT
cana-6163	112	6	vazquez	vazquez	PROPN
cana-6163	112	7	,	,	PUNCT
cana-6163	112	8	vanesa	vanesa	PROPN
cana-6163	112	9	,	,	PUNCT
cana-6163	112	10	et	et	PROPN
cana-6163	112	11	al	al	PROPN
cana-6163	112	12	.	.	PUNCT
cana-6163	112	13	"	"	PUNCT
cana-6163	112	14	video	video	NOUN
cana-6163	112	15	image	image	NOUN
cana-6163	112	16	enhancement	enhancement	NOUN
cana-6163	112	17	and	and	CCONJ
cana-6163	112	18	machine	machine	NOUN
cana-6163	112	19	learning	learn	VERB
cana-6163	112	20	pipeline	pipeline	NOUN
cana-6163	112	21	for	for	ADP
cana-6163	112	22	underwater	underwater	ADJ
cana-6163	112	23	animal	animal	NOUN
cana-6163	112	24	detection	detection	NOUN
cana-6163	112	25	and	and	CCONJ
cana-6163	112	26	classification	classification	NOUN
cana-6163	112	27	at	at	ADP
cana-6163	112	28	cabled	cable	VERB
cana-6163	112	29	observatories	observatory	NOUN
cana-6163	112	30	(	(	PUNCT
cana-6163	112	31	vol	vol	NOUN
cana-6163	112	32	20	20	NUM
cana-6163	112	33	,	,	PUNCT
cana-6163	112	34	726	726	NUM
cana-6163	112	35	,	,	PUNCT
cana-6163	112	36	2020	2020	NUM
cana-6163	112	37	)	)	PUNCT
cana-6163	112	38	.	.	PUNCT
cana-6163	112	39	"	"	PUNCT
cana-6163	113	1	sensors	sensor	NOUN
cana-6163	113	2	23.1	23.1	NUM
cana-6163	113	3	(	(	PUNCT
cana-6163	113	4	2023	2023	NUM
cana-6163	113	5	)	)	PUNCT
cana-6163	113	6	.	.	PUNCT
cana-6163	114	1	[	[	X
cana-6163	114	2	9	9	NUM
cana-6163	114	3	]	]	PUNCT
cana-6163	114	4	sarkar	sarkar	NOUN
cana-6163	114	5	,	,	PUNCT
cana-6163	114	6	pratima	pratima	PROPN
cana-6163	114	7	,	,	PUNCT
cana-6163	114	8	et	et	PROPN
cana-6163	114	9	al	al	PROPN
cana-6163	114	10	.	.	PUNCT
cana-6163	114	11	"	"	PUNCT
cana-6163	114	12	uice	uice	ADJ
cana-6163	114	13	-	-	PUNCT
cana-6163	114	14	mirnet	mirnet	NOUN
cana-6163	114	15	guided	guide	VERB
cana-6163	114	16	image	image	NOUN
cana-6163	114	17	enhancement	enhancement	NOUN
cana-6163	114	18	for	for	ADP
cana-6163	114	19	underwater	underwater	ADJ
cana-6163	114	20	object	object	NOUN
cana-6163	114	21	detection	detection	NOUN
cana-6163	114	22	.	.	PUNCT
cana-6163	114	23	"	"	PUNCT
cana-6163	115	1	scientific	scientific	ADJ
cana-6163	115	2	reports	report	NOUN
cana-6163	115	3	14.1	14.1	NUM
cana-6163	115	4	(	(	PUNCT
cana-6163	115	5	2024	2024	NUM
cana-6163	115	6	):	):	PUNCT
cana-6163	115	7	22448	22448	NUM
cana-6163	115	8	.	.	PUNCT
cana-6163	116	1	[	[	X
cana-6163	116	2	10	10	NUM
cana-6163	116	3	]	]	X
cana-6163	116	4	kim	kim	PROPN
cana-6163	116	5	,	,	PUNCT
cana-6163	116	6	hong	hong	PROPN
cana-6163	116	7	-	-	PUNCT
cana-6163	116	8	gi	gi	PROPN
cana-6163	116	9	,	,	PUNCT
cana-6163	116	10	jung	jung	NOUN
cana-6163	116	11	-	-	PUNCT
cana-6163	116	12	min	min	NOUN
cana-6163	116	13	seo	seo	NOUN
cana-6163	116	14	,	,	PUNCT
cana-6163	116	15	and	and	CCONJ
cana-6163	116	16	soo	soo	PROPN
cana-6163	116	17	mee	mee	PROPN
cana-6163	116	18	kim	kim	PROPN
cana-6163	116	19	.	.	PUNCT
cana-6163	117	1	"	"	PUNCT
cana-6163	117	2	comparison	comparison	NOUN
cana-6163	117	3	of	of	ADP
cana-6163	117	4	gan	gan	ADJ
cana-6163	117	5	deep	deep	ADJ
cana-6163	117	6	learning	learning	NOUN
cana-6163	117	7	methods	method	NOUN
cana-6163	117	8	for	for	ADP
cana-6163	117	9	underwater	underwater	ADJ
cana-6163	117	10	optical	optical	ADJ
cana-6163	117	11	image	image	NOUN
cana-6163	117	12	enhancement	enhancement	NOUN
cana-6163	117	13	.	.	PUNCT
cana-6163	117	14	"	"	PUNCT
cana-6163	118	1	journal	journal	NOUN
cana-6163	118	2	of	of	ADP
cana-6163	118	3	ocean	ocean	PROPN
cana-6163	118	4	engineering	engineering	NOUN
cana-6163	118	5	and	and	CCONJ
cana-6163	118	6	technology	technology	NOUN
cana-6163	118	7	36.1	36.1	NUM
cana-6163	118	8	(	(	PUNCT
cana-6163	118	9	2022	2022	NUM
cana-6163	118	10	):	):	PUNCT
cana-6163	118	11	32	32	NUM
cana-6163	118	12	-	-	SYM
cana-6163	118	13	40	40	NUM
cana-6163	118	14	.	.	PUNCT