id	sid	tid	token	lemma	pos
cana-6024	1	1	communications	communication	NOUN
cana-6024	1	2	on	on	ADP
cana-6024	1	3	applied	apply	VERB
cana-6024	1	4	nonlinear	nonlinear	ADJ
cana-6024	1	5	analysis	analysis	NOUN
cana-6024	1	6	issn	issn	NOUN
cana-6024	1	7	:	:	PUNCT
cana-6024	1	8	1074	1074	NUM
cana-6024	1	9	-	-	PUNCT
cana-6024	1	10	133x	133x	NUM
cana-6024	1	11	vol	vol	NOUN
cana-6024	1	12	31	31	NUM
cana-6024	1	13	no	no	NOUN
cana-6024	1	14	.	.	PUNCT
cana-6024	2	1	8s	8s	PROPN
cana-6024	2	2	(	(	PUNCT
cana-6024	2	3	2024	2024	NUM
cana-6024	2	4	)	)	PUNCT
cana-6024	2	5	1139	1139	NUM
cana-6024	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	2	7	deep	deep	ADJ
cana-6024	2	8	learning	learning	NOUN
cana-6024	2	9	for	for	ADP
cana-6024	2	10	real	real	ADJ
cana-6024	2	11	-	-	PUNCT
cana-6024	2	12	time	time	NOUN
cana-6024	2	13	crack	crack	NOUN
cana-6024	2	14	detection	detection	NOUN
cana-6024	2	15	in	in	ADP
cana-6024	2	16	concrete	concrete	NOUN
cana-6024	2	17	using	use	VERB
cana-6024	2	18	electromagnetic	electromagnetic	ADJ
cana-6024	2	19	imaging	imaging	NOUN
cana-6024	2	20	isha	isha	PROPN
cana-6024	2	21	katariya	katariya	PROPN
cana-6024	2	22	assistant	assistant	PROPN
cana-6024	2	23	professor	professor	NOUN
cana-6024	2	24	,	,	PUNCT
cana-6024	2	25	civil	civil	ADJ
cana-6024	2	26	engineering	engineering	NOUN
cana-6024	2	27	,	,	PUNCT
cana-6024	2	28	deogiri	deogiri	PROPN
cana-6024	2	29	institute	institute	PROPN
cana-6024	2	30	of	of	ADP
cana-6024	2	31	engineering	engineering	NOUN
cana-6024	2	32	and	and	CCONJ
cana-6024	2	33	management	management	NOUN
cana-6024	2	34	studies	study	NOUN
cana-6024	2	35	,	,	PUNCT
cana-6024	2	36	ch.sambhaji	ch.sambhaji	NOUN
cana-6024	2	37	nagar	nagar	PROPN
cana-6024	2	38	maharashtra	maharashtra	PROPN
cana-6024	2	39	email	email	PROPN
cana-6024	2	40	i	i	PROPN
cana-6024	2	41	d	d	PROPN
cana-6024	2	42	:	:	PUNCT
cana-6024	2	43	ishakatariya@dietms.org	ishakatariya@dietms.org	PROPN
cana-6024	2	44	vivek	vivek	PROPN
cana-6024	2	45	ashok	ashok	PROPN
cana-6024	2	46	ballal	ballal	PROPN
cana-6024	2	47	assistant	assistant	NOUN
cana-6024	2	48	professor	professor	NOUN
cana-6024	2	49	,	,	PUNCT
cana-6024	2	50	electronics	electronics	PROPN
cana-6024	2	51	&	&	CCONJ
cana-6024	2	52	telecommunication	telecommunication	NOUN
cana-6024	2	53	engineering	engineering	PROPN
cana-6024	2	54	,	,	PUNCT
cana-6024	2	55	deogiri	deogiri	PROPN
cana-6024	2	56	institute	institute	PROPN
cana-6024	2	57	of	of	ADP
cana-6024	2	58	engineering	engineering	NOUN
cana-6024	2	59	and	and	CCONJ
cana-6024	2	60	management	management	NOUN
cana-6024	2	61	studies	study	NOUN
cana-6024	2	62	ch.sambhaji	ch.sambhaji	NOUN
cana-6024	2	63	nagar	nagar	PROPN
cana-6024	2	64	,	,	PUNCT
cana-6024	2	65	maharashtra	maharashtra	PROPN
cana-6024	2	66	email	email	NOUN
cana-6024	2	67	i	i	PROPN
cana-6024	2	68	d	d	PROPN
cana-6024	2	69	:	:	PUNCT
cana-6024	3	1	vivekballal@dietms.org	vivekballal@dietms.org	PROPN
cana-6024	3	2	megha	megha	PROPN
cana-6024	3	3	r.	r.	PROPN
cana-6024	3	4	pardeshi	pardeshi	PROPN
cana-6024	3	5	assistant	assistant	PROPN
cana-6024	3	6	professor	professor	NOUN
cana-6024	3	7	,	,	PUNCT
cana-6024	3	8	computer	computer	NOUN
cana-6024	3	9	science	science	NOUN
cana-6024	3	10	and	and	CCONJ
cana-6024	3	11	engineering	engineering	NOUN
cana-6024	3	12	,	,	PUNCT
cana-6024	3	13	artificial	artificial	ADJ
cana-6024	3	14	intelligence	intelligence	NOUN
cana-6024	3	15	&	&	CCONJ
cana-6024	3	16	machine	machine	PROPN
cana-6024	3	17	learning	learning	PROPN
cana-6024	3	18	deogiri	deogiri	PROPN
cana-6024	3	19	institute	institute	PROPN
cana-6024	3	20	of	of	ADP
cana-6024	3	21	engineering	engineering	NOUN
cana-6024	3	22	and	and	CCONJ
cana-6024	3	23	management	management	NOUN
cana-6024	3	24	studies	study	NOUN
cana-6024	3	25	,	,	PUNCT
cana-6024	3	26	ch.sambhaji	ch.sambhaji	NOUN
cana-6024	3	27	nagar	nagar	NOUN
cana-6024	3	28	,	,	PUNCT
cana-6024	3	29	maharashtra	maharashtra	PROPN
cana-6024	3	30	email	email	NOUN
cana-6024	3	31	i	i	PROPN
cana-6024	3	32	d	d	PROPN
cana-6024	3	33	:	:	PUNCT
cana-6024	3	34	meghapardeshi@dietms.org	meghapardeshi@dietms.org	PROPN
cana-6024	3	35	yogita	yogita	PROPN
cana-6024	3	36	lakade	lakade	PROPN
cana-6024	3	37	assistant	assistant	PROPN
cana-6024	3	38	professor	professor	NOUN
cana-6024	3	39	,	,	PUNCT
cana-6024	3	40	cse	cse	PROPN
cana-6024	3	41	.	.	PROPN
cana-6024	3	42	aiml	aiml	PROPN
cana-6024	3	43	,	,	PUNCT
cana-6024	3	44	deogiri	deogiri	PROPN
cana-6024	3	45	institute	institute	PROPN
cana-6024	3	46	of	of	ADP
cana-6024	3	47	engineering	engineering	NOUN
cana-6024	3	48	and	and	CCONJ
cana-6024	3	49	management	management	NOUN
cana-6024	3	50	studies	study	NOUN
cana-6024	3	51	,	,	PUNCT
cana-6024	3	52	ch.sambhaji	ch.sambhaji	NOUN
cana-6024	3	53	nagar	nagar	NOUN
cana-6024	3	54	,	,	PUNCT
cana-6024	3	55	maharashtra	maharashtra	PROPN
cana-6024	3	56	email	email	NOUN
cana-6024	3	57	i	i	PROPN
cana-6024	3	58	d	d	PROPN
cana-6024	3	59	:	:	PUNCT
cana-6024	3	60	yogitalakade@dietms.org	yogitalakade@dietms.org	PROPN
cana-6024	3	61	amruta	amruta	PROPN
cana-6024	3	62	d.agharde	d.agharde	PROPN
cana-6024	3	63	assistant	assistant	PROPN
cana-6024	3	64	professor	professor	NOUN
cana-6024	3	65	,	,	PUNCT
cana-6024	3	66	civil	civil	ADJ
cana-6024	3	67	engineering	engineering	NOUN
cana-6024	3	68	,	,	PUNCT
cana-6024	3	69	deogiri	deogiri	PROPN
cana-6024	3	70	institute	institute	PROPN
cana-6024	3	71	of	of	ADP
cana-6024	3	72	engineering	engineering	NOUN
cana-6024	3	73	and	and	CCONJ
cana-6024	3	74	management	management	NOUN
cana-6024	3	75	studies	study	NOUN
cana-6024	3	76	,	,	PUNCT
cana-6024	3	77	ch.sambhaji	ch.sambhaji	NOUN
cana-6024	3	78	nagar	nagar	PROPN
cana-6024	3	79	maharashtra	maharashtra	PROPN
cana-6024	3	80	email	email	PROPN
cana-6024	3	81	i	i	PROPN
cana-6024	3	82	d	d	PROPN
cana-6024	3	83	:	:	PUNCT
cana-6024	3	84	amrutaagharde@dietms.org	amrutaagharde@dietms.org	PROPN
cana-6024	3	85	article	article	NOUN
cana-6024	3	86	history	history	NOUN
cana-6024	3	87	:	:	PUNCT
cana-6024	3	88	received	receive	VERB
cana-6024	3	89	:	:	PUNCT
cana-6024	3	90	01/10/2024	01/10/2024	NOUN
cana-6024	3	91	revised	revise	VERB
cana-6024	3	92	:	:	PUNCT
cana-6024	3	93	06/11/2024	06/11/2024	NUM
cana-6024	3	94	accepted	accept	VERB
cana-6024	3	95	:	:	PUNCT
cana-6024	3	96	10/12/2024	10/12/2024	NUM
cana-6024	3	97	abstract	abstract	NOUN
cana-6024	3	98	:	:	PUNCT
cana-6024	3	99	in	in	ADP
cana-6024	3	100	total	total	NOUN
cana-6024	3	101	,	,	PUNCT
cana-6024	3	102	crack	crack	NOUN
cana-6024	3	103	detection	detection	NOUN
cana-6024	3	104	has	have	AUX
cana-6024	3	105	been	be	AUX
cana-6024	3	106	very	very	ADV
cana-6024	3	107	important	important	ADJ
cana-6024	3	108	in	in	ADP
cana-6024	3	109	the	the	DET
cana-6024	3	110	durability	durability	NOUN
cana-6024	3	111	and	and	CCONJ
cana-6024	3	112	safety	safety	NOUN
cana-6024	3	113	of	of	ADP
cana-6024	3	114	concrete	concrete	ADJ
cana-6024	3	115	infrastructure	infrastructure	NOUN
cana-6024	3	116	and	and	CCONJ
cana-6024	3	117	must	must	AUX
cana-6024	3	118	be	be	AUX
cana-6024	3	119	undertaken	undertake	VERB
cana-6024	3	120	correctly	correctly	ADV
cana-6024	3	121	and	and	CCONJ
cana-6024	3	122	on	on	ADP
cana-6024	3	123	time	time	NOUN
cana-6024	3	124	.	.	PUNCT
cana-6024	4	1	the	the	DET
cana-6024	4	2	conventional	conventional	ADJ
cana-6024	4	3	forms	form	NOUN
cana-6024	4	4	of	of	ADP
cana-6024	4	5	inspection	inspection	NOUN
cana-6024	4	6	are	be	AUX
cana-6024	4	7	time	time	NOUN
cana-6024	4	8	-	-	PUNCT
cana-6024	4	9	consuming	consume	VERB
cana-6024	4	10	,	,	PUNCT
cana-6024	4	11	surface	surface	NOUN
cana-6024	4	12	-	-	PUNCT
cana-6024	4	13	restricted	restrict	VERB
cana-6024	4	14	and	and	CCONJ
cana-6024	4	15	not	not	PART
cana-6024	4	16	real	real	ADJ
cana-6024	4	17	-	-	PUNCT
cana-6024	4	18	time	time	NOUN
cana-6024	4	19	.	.	PUNCT
cana-6024	5	1	this	this	DET
cana-6024	5	2	study	study	NOUN
cana-6024	5	3	attempts	attempt	VERB
cana-6024	5	4	to	to	PART
cana-6024	5	5	offer	offer	VERB
cana-6024	5	6	deep	deep	ADJ
cana-6024	5	7	learning	learning	NOUN
cana-6024	5	8	-	-	PUNCT
cana-6024	5	9	based	base	VERB
cana-6024	5	10	solution	solution	NOUN
cana-6024	5	11	by	by	ADP
cana-6024	5	12	implementing	implement	VERB
cana-6024	5	13	electromagnetic	electromagnetic	ADJ
cana-6024	5	14	(	(	PUNCT
cana-6024	5	15	em	em	NOUN
cana-6024	5	16	)	)	PUNCT
cana-6024	5	17	imaging	imaging	NOUN
cana-6024	5	18	so	so	SCONJ
cana-6024	5	19	that	that	SCONJ
cana-6024	5	20	real	real	ADJ
cana-6024	5	21	-	-	PUNCT
cana-6024	5	22	time	time	NOUN
cana-6024	5	23	crack	crack	NOUN
cana-6024	5	24	detection	detection	NOUN
cana-6024	5	25	on	on	ADP
cana-6024	5	26	surface	surface	NOUN
cana-6024	5	27	and	and	CCONJ
cana-6024	5	28	sub	sub	VERB
cana-6024	5	29	surface	surface	NOUN
cana-6024	5	30	of	of	ADP
cana-6024	5	31	concrete	concrete	ADJ
cana-6024	5	32	structures	structure	NOUN
cana-6024	5	33	could	could	AUX
cana-6024	5	34	be	be	AUX
cana-6024	5	35	possible	possible	ADJ
cana-6024	5	36	.	.	PUNCT
cana-6024	6	1	to	to	PART
cana-6024	6	2	train	train	VERB
cana-6024	6	3	the	the	DET
cana-6024	6	4	4	4	NUM
cana-6024	6	5	deep	deep	ADJ
cana-6024	6	6	learning	learning	NOUN
cana-6024	6	7	approaches	approach	NOUN
cana-6024	6	8	,	,	PUNCT
cana-6024	6	9	including	include	VERB
cana-6024	6	10	convolutional	convolutional	ADJ
cana-6024	6	11	neural	neural	ADJ
cana-6024	6	12	network	network	NOUN
cana-6024	6	13	(	(	PUNCT
cana-6024	6	14	cnn	cnn	PROPN
cana-6024	6	15	)	)	PUNCT
cana-6024	6	16	,	,	PUNCT
cana-6024	6	17	residual	residual	ADJ
cana-6024	6	18	neural	neural	ADJ
cana-6024	6	19	network	network	NOUN
cana-6024	6	20	(	(	PUNCT
cana-6024	6	21	resnet-50	resnet-50	NUM
cana-6024	6	22	)	)	PUNCT
cana-6024	6	23	,	,	PUNCT
cana-6024	6	24	u	u	NOUN
cana-6024	6	25	-	-	NOUN
cana-6024	6	26	net	net	ADJ
cana-6024	6	27	and	and	CCONJ
cana-6024	6	28	mobilenetv2	mobilenetv2	NOUN
cana-6024	6	29	,	,	PUNCT
cana-6024	6	30	5,000	5,000	NUM
cana-6024	6	31	em	em	PRON
cana-6024	6	32	images	image	NOUN
cana-6024	6	33	were	be	AUX
cana-6024	6	34	utilized	utilize	VERB
cana-6024	6	35	.	.	PUNCT
cana-6024	7	1	within	within	ADP
cana-6024	7	2	this	this	PRON
cana-6024	7	3	,	,	PUNCT
cana-6024	7	4	the	the	DET
cana-6024	7	5	one	one	NOUN
cana-6024	7	6	that	that	PRON
cana-6024	7	7	succeeded	succeed	VERB
cana-6024	7	8	in	in	ADP
cana-6024	7	9	classification	classification	NOUN
cana-6024	7	10	with	with	ADP
cana-6024	7	11	mailto:ishakatariya@dietms.org	mailto:ishakatariya@dietms.org	PROPN
cana-6024	7	12	mailto:vivekballal@dietms.org	mailto:vivekballal@dietms.org	ADJ
cana-6024	7	13	mailto:meghapardeshi@dietms.org	mailto:meghapardeshi@dietms.org	ADJ
cana-6024	7	14	mailto:yogitalakade@dietms.org	mailto:yogitalakade@dietms.org	PROPN
cana-6024	7	15	communications	communication	NOUN
cana-6024	7	16	on	on	ADP
cana-6024	7	17	applied	apply	VERB
cana-6024	7	18	nonlinear	nonlinear	ADJ
cana-6024	7	19	analysis	analysis	NOUN
cana-6024	7	20	issn	issn	NOUN
cana-6024	7	21	:	:	PUNCT
cana-6024	7	22	1074	1074	NUM
cana-6024	7	23	-	-	PUNCT
cana-6024	7	24	133x	133x	NUM
cana-6024	7	25	vol	vol	NOUN
cana-6024	7	26	31	31	NUM
cana-6024	7	27	no	no	NOUN
cana-6024	7	28	.	.	PUNCT
cana-6024	8	1	8s	8s	PROPN
cana-6024	8	2	(	(	PUNCT
cana-6024	8	3	2024	2024	NUM
cana-6024	8	4	)	)	PUNCT
cana-6024	8	5	1140	1140	NUM
cana-6024	8	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	8	7	the	the	DET
cana-6024	8	8	best	good	ADJ
cana-6024	8	9	accuracy	accuracy	NOUN
cana-6024	8	10	at	at	ADP
cana-6024	8	11	96.2	96.2	NUM
cana-6024	8	12	%	%	NOUN
cana-6024	8	13	was	be	AUX
cana-6024	8	14	resnet-50	resnet-50	PROPN
cana-6024	8	15	which	which	PRON
cana-6024	8	16	gained	gain	VERB
cana-6024	8	17	precision	precision	NOUN
cana-6024	8	18	of	of	ADP
cana-6024	8	19	95.6	95.6	NUM
cana-6024	8	20	%	%	NOUN
cana-6024	8	21	,	,	PUNCT
cana-6024	8	22	f1	f1	NOUN
cana-6024	8	23	-	-	PUNCT
cana-6024	8	24	score	score	NOUN
cana-6024	8	25	of	of	ADP
cana-6024	8	26	95.3	95.3	NUM
cana-6024	8	27	%	%	NOUN
cana-6024	8	28	;	;	PUNCT
cana-6024	8	29	u	u	NOUN
cana-6024	8	30	-	-	NOUN
cana-6024	8	31	net	net	NOUN
cana-6024	8	32	exhibited	exhibit	VERB
cana-6024	8	33	better	well	ADJ
cana-6024	8	34	segmentation	segmentation	NOUN
cana-6024	8	35	at	at	ADP
cana-6024	8	36	an	an	DET
cana-6024	8	37	iou	iou	NOUN
cana-6024	8	38	of	of	ADP
cana-6024	8	39	89.2	89.2	NUM
cana-6024	8	40	%	%	NOUN
cana-6024	8	41	.	.	PUNCT
cana-6024	9	1	mobilenetv2	mobilenetv2	PROPN
cana-6024	9	2	had	have	VERB
cana-6024	9	3	the	the	DET
cana-6024	9	4	lowest	low	ADJ
cana-6024	9	5	inference	inference	NOUN
cana-6024	9	6	time	time	NOUN
cana-6024	9	7	of	of	ADP
cana-6024	9	8	12	12	NUM
cana-6024	9	9	ms	ms	NOUN
cana-6024	9	10	per	per	ADP
cana-6024	9	11	image	image	NOUN
cana-6024	9	12	,	,	PUNCT
cana-6024	9	13	implying	imply	VERB
cana-6024	9	14	that	that	SCONJ
cana-6024	9	15	it	it	PRON
cana-6024	9	16	is	be	AUX
cana-6024	9	17	good	good	ADJ
cana-6024	9	18	to	to	PART
cana-6024	9	19	be	be	AUX
cana-6024	9	20	used	use	VERB
cana-6024	9	21	in	in	ADP
cana-6024	9	22	realtime	realtime	ADJ
cana-6024	9	23	applications	application	NOUN
cana-6024	9	24	.	.	PUNCT
cana-6024	10	1	the	the	DET
cana-6024	10	2	performance	performance	NOUN
cana-6024	10	3	of	of	ADP
cana-6024	10	4	the	the	DET
cana-6024	10	5	results	result	NOUN
cana-6024	10	6	is	be	AUX
cana-6024	10	7	better	well	ADJ
cana-6024	10	8	compared	compare	VERB
cana-6024	10	9	to	to	ADP
cana-6024	10	10	the	the	DET
cana-6024	10	11	current	current	ADJ
cana-6024	10	12	methodology	methodology	NOUN
cana-6024	10	13	employing	employ	VERB
cana-6024	10	14	the	the	DET
cana-6024	10	15	use	use	NOUN
cana-6024	10	16	of	of	ADP
cana-6024	10	17	conventional	conventional	ADJ
cana-6024	10	18	gpr	gpr	PROPN
cana-6024	10	19	or	or	CCONJ
cana-6024	10	20	rgb	rgb	PROPN
cana-6024	10	21	imaging	imaging	NOUN
cana-6024	10	22	and	and	CCONJ
cana-6024	10	23	shows	show	VERB
cana-6024	10	24	the	the	DET
cana-6024	10	25	promise	promise	NOUN
cana-6024	10	26	of	of	ADP
cana-6024	10	27	deep	deep	ADJ
cana-6024	10	28	learning	learning	NOUN
cana-6024	10	29	-	-	PUNCT
cana-6024	10	30	based	base	VERB
cana-6024	10	31	em	em	PRON
cana-6024	10	32	systems	system	NOUN
cana-6024	10	33	in	in	ADP
cana-6024	10	34	non	non	ADJ
cana-6024	10	35	-	-	ADJ
cana-6024	10	36	destructive	destructive	ADJ
cana-6024	10	37	concrete	concrete	ADJ
cana-6024	10	38	inspection	inspection	NOUN
cana-6024	10	39	.	.	PUNCT
cana-6024	11	1	this	this	DET
cana-6024	11	2	paper	paper	NOUN
cana-6024	11	3	identifies	identify	VERB
cana-6024	11	4	a	a	DET
cana-6024	11	5	scalable	scalable	ADJ
cana-6024	11	6	and	and	CCONJ
cana-6024	11	7	automated	automate	VERB
cana-6024	11	8	infrastructure	infrastructure	NOUN
cana-6024	11	9	monitoring	monitoring	NOUN
cana-6024	11	10	tool	tool	NOUN
cana-6024	11	11	that	that	PRON
cana-6024	11	12	will	will	AUX
cana-6024	11	13	help	help	VERB
cana-6024	11	14	manage	manage	VERB
cana-6024	11	15	assets	asset	NOUN
cana-6024	11	16	safely	safely	ADV
cana-6024	11	17	and	and	CCONJ
cana-6024	11	18	more	more	ADV
cana-6024	11	19	efficiently	efficiently	ADV
cana-6024	11	20	.	.	PUNCT
cana-6024	12	1	keywords	keyword	NOUN
cana-6024	12	2	:	:	PUNCT
cana-6024	12	3	crack	crack	VERB
cana-6024	12	4	detection	detection	NOUN
cana-6024	12	5	,	,	PUNCT
cana-6024	12	6	deep	deep	ADJ
cana-6024	12	7	learning	learning	NOUN
cana-6024	12	8	,	,	PUNCT
cana-6024	12	9	electromagnetic	electromagnetic	ADJ
cana-6024	12	10	imaging	imaging	NOUN
cana-6024	12	11	,	,	PUNCT
cana-6024	12	12	concrete	concrete	ADJ
cana-6024	12	13	structures	structure	NOUN
cana-6024	12	14	,	,	PUNCT
cana-6024	12	15	structural	structural	ADJ
cana-6024	12	16	health	health	NOUN
cana-6024	12	17	monitoring	monitoring	NOUN
cana-6024	12	18	i.	i.	PROPN
cana-6024	12	19	introduction	introduction	NOUN
cana-6024	12	20	the	the	DET
cana-6024	12	21	stability	stability	NOUN
cana-6024	12	22	and	and	CCONJ
cana-6024	12	23	strength	strength	NOUN
cana-6024	12	24	of	of	ADP
cana-6024	12	25	concrete	concrete	ADJ
cana-6024	12	26	buildings	building	NOUN
cana-6024	12	27	is	be	AUX
cana-6024	12	28	of	of	ADP
cana-6024	12	29	essence	essence	NOUN
cana-6024	12	30	in	in	ADP
cana-6024	12	31	making	make	VERB
cana-6024	12	32	civil	civil	ADJ
cana-6024	12	33	infrastructure	infrastructure	NOUN
cana-6024	12	34	,	,	PUNCT
cana-6024	12	35	such	such	ADJ
cana-6024	12	36	as	as	ADP
cana-6024	12	37	bridge	bridge	NOUN
cana-6024	12	38	,	,	PUNCT
cana-6024	12	39	tunnels	tunnel	NOUN
cana-6024	12	40	,	,	PUNCT
cana-6024	12	41	and	and	CCONJ
cana-6024	12	42	buildings	building	NOUN
cana-6024	12	43	as	as	ADV
cana-6024	12	44	well	well	ADV
cana-6024	12	45	as	as	ADP
cana-6024	12	46	highways	highway	NOUN
cana-6024	12	47	,	,	PUNCT
cana-6024	12	48	safe	safe	ADJ
cana-6024	12	49	and	and	CCONJ
cana-6024	12	50	long	long	ADV
cana-6024	12	51	lasting	lasting	ADJ
cana-6024	12	52	.	.	PUNCT
cana-6024	13	1	concrete	concrete	NOUN
cana-6024	13	2	is	be	AUX
cana-6024	13	3	prone	prone	ADJ
cana-6024	13	4	to	to	ADP
cana-6024	13	5	different	different	ADJ
cana-6024	13	6	kinds	kind	NOUN
cana-6024	13	7	of	of	ADP
cana-6024	13	8	deteriorations	deterioration	NOUN
cana-6024	13	9	with	with	ADP
cana-6024	13	10	some	some	DET
cana-6024	13	11	surface	surface	NOUN
cana-6024	13	12	and	and	CCONJ
cana-6024	13	13	internal	internal	ADJ
cana-6024	13	14	cracks	crack	NOUN
cana-6024	13	15	constituting	constitute	VERB
cana-6024	13	16	some	some	PRON
cana-6024	13	17	of	of	ADP
cana-6024	13	18	the	the	DET
cana-6024	13	19	worst	bad	ADJ
cana-6024	13	20	and	and	CCONJ
cana-6024	13	21	most	most	ADV
cana-6024	13	22	frequent	frequent	ADJ
cana-6024	13	23	concrete	concrete	ADJ
cana-6024	13	24	defects	defect	NOUN
cana-6024	13	25	.	.	PUNCT
cana-6024	14	1	these	these	DET
cana-6024	14	2	cracks	crack	NOUN
cana-6024	14	3	need	need	VERB
cana-6024	14	4	to	to	PART
cana-6024	14	5	be	be	AUX
cana-6024	14	6	identified	identify	VERB
cana-6024	14	7	as	as	ADV
cana-6024	14	8	early	early	ADV
cana-6024	14	9	as	as	ADP
cana-6024	14	10	possible	possible	ADJ
cana-6024	14	11	so	so	SCONJ
cana-6024	14	12	as	as	SCONJ
cana-6024	14	13	to	to	PART
cana-6024	14	14	facilitate	facilitate	VERB
cana-6024	14	15	proactive	proactive	ADJ
cana-6024	14	16	maintenance	maintenance	NOUN
cana-6024	14	17	,	,	PUNCT
cana-6024	14	18	cost	cost	VERB
cana-6024	14	19	efficient	efficient	ADJ
cana-6024	14	20	repairs	repair	NOUN
cana-6024	14	21	as	as	ADV
cana-6024	14	22	well	well	ADV
cana-6024	14	23	as	as	ADP
cana-6024	14	24	avoiding	avoid	VERB
cana-6024	14	25	disastrous	disastrous	ADJ
cana-6024	14	26	structural	structural	ADJ
cana-6024	14	27	collapse	collapse	NOUN
cana-6024	14	28	[	[	X
cana-6024	14	29	1	1	NUM
cana-6024	14	30	]	]	PUNCT
cana-6024	14	31	.	.	PUNCT
cana-6024	15	1	the	the	DET
cana-6024	15	2	common	common	ADJ
cana-6024	15	3	crack	crack	NOUN
cana-6024	15	4	detection	detection	NOUN
cana-6024	15	5	processes	process	NOUN
cana-6024	15	6	include	include	VERB
cana-6024	15	7	visual	visual	ADJ
cana-6024	15	8	examination	examination	NOUN
cana-6024	15	9	and	and	CCONJ
cana-6024	15	10	tribimeters	tribimeter	NOUN
cana-6024	15	11	,	,	PUNCT
cana-6024	15	12	schematic	schematic	ADJ
cana-6024	15	13	evaluation	evaluation	NOUN
cana-6024	15	14	by	by	ADP
cana-6024	15	15	which	which	PRON
cana-6024	15	16	methods	method	NOUN
cana-6024	15	17	are	be	AUX
cana-6024	15	18	tedious	tedious	ADJ
cana-6024	15	19	,	,	PUNCT
cana-6024	15	20	subjective	subjective	ADJ
cana-6024	15	21	,	,	PUNCT
cana-6024	15	22	and	and	CCONJ
cana-6024	15	23	may	may	AUX
cana-6024	15	24	also	also	ADV
cana-6024	15	25	be	be	AUX
cana-6024	15	26	not	not	PART
cana-6024	15	27	very	very	ADV
cana-6024	15	28	accurate	accurate	ADJ
cana-6024	15	29	.	.	PUNCT
cana-6024	16	1	in	in	ADP
cana-6024	16	2	addition	addition	NOUN
cana-6024	16	3	to	to	ADP
cana-6024	16	4	this	this	PRON
cana-6024	16	5	,	,	PUNCT
cana-6024	16	6	they	they	PRON
cana-6024	16	7	can	can	AUX
cana-6024	16	8	not	not	PART
cana-6024	16	9	provide	provide	VERB
cana-6024	16	10	a	a	DET
cana-6024	16	11	realtime	realtime	NOUN
cana-6024	16	12	inspection	inspection	NOUN
cana-6024	16	13	and	and	CCONJ
cana-6024	16	14	they	they	PRON
cana-6024	16	15	can	can	AUX
cana-6024	16	16	miss	miss	VERB
cana-6024	16	17	underground	underground	ADJ
cana-6024	16	18	anomalies	anomaly	NOUN
cana-6024	16	19	[	[	X
cana-6024	16	20	2	2	NUM
cana-6024	16	21	]	]	PUNCT
cana-6024	16	22	.	.	PUNCT
cana-6024	17	1	recent	recent	ADJ
cana-6024	17	2	developments	development	NOUN
cana-6024	17	3	in	in	ADP
cana-6024	17	4	nondestructive	nondestructive	ADJ
cana-6024	17	5	testing	testing	NOUN
cana-6024	17	6	(	(	PUNCT
cana-6024	17	7	ndt	ndt	PROPN
cana-6024	17	8	)	)	PUNCT
cana-6024	17	9	brought	bring	VERB
cana-6024	17	10	about	about	ADP
cana-6024	17	11	a	a	DET
cana-6024	17	12	series	series	NOUN
cana-6024	17	13	of	of	ADP
cana-6024	17	14	promising	promise	VERB
cana-6024	17	15	techniques	technique	NOUN
cana-6024	17	16	involved	involve	VERB
cana-6024	17	17	in	in	ADP
cana-6024	17	18	visualizing	visualize	VERB
cana-6024	17	19	internal	internal	ADJ
cana-6024	17	20	structural	structural	ADJ
cana-6024	17	21	defects	defect	NOUN
cana-6024	17	22	,	,	PUNCT
cana-6024	17	23	with	with	ADP
cana-6024	17	24	no	no	DET
cana-6024	17	25	physical	physical	ADJ
cana-6024	17	26	intrusions	intrusion	NOUN
cana-6024	17	27	,	,	PUNCT
cana-6024	17	28	namely	namely	ADV
cana-6024	17	29	electromagnetic	electromagnetic	ADJ
cana-6024	17	30	(	(	PUNCT
cana-6024	17	31	em	em	NOUN
cana-6024	17	32	)	)	PUNCT
cana-6024	17	33	imaging	imaging	NOUN
cana-6024	17	34	.	.	PUNCT
cana-6024	18	1	em	em	PRON
cana-6024	18	2	imaging	image	VERB
cana-6024	18	3	,	,	PUNCT
cana-6024	18	4	to	to	PART
cana-6024	18	5	detect	detect	VERB
cana-6024	18	6	changes	change	NOUN
cana-6024	18	7	in	in	ADP
cana-6024	18	8	dielectric	dielectric	ADJ
cana-6024	18	9	properties	property	NOUN
cana-6024	18	10	of	of	ADP
cana-6024	18	11	concrete	concrete	NOUN
cana-6024	18	12	,	,	PUNCT
cana-6024	18	13	also	also	ADV
cana-6024	18	14	can	can	AUX
cana-6024	18	15	show	show	VERB
cana-6024	18	16	the	the	DET
cana-6024	18	17	cracks	crack	NOUN
cana-6024	18	18	and	and	CCONJ
cana-6024	18	19	empty	empty	ADJ
cana-6024	18	20	spaces	space	NOUN
cana-6024	18	21	that	that	PRON
cana-6024	18	22	are	be	AUX
cana-6024	18	23	hidden	hide	VERB
cana-6024	18	24	internally	internally	ADV
cana-6024	18	25	and	and	CCONJ
cana-6024	18	26	not	not	PART
cana-6024	18	27	visible	visible	ADJ
cana-6024	18	28	on	on	ADP
cana-6024	18	29	the	the	DET
cana-6024	18	30	surface	surface	NOUN
cana-6024	19	1	[	[	X
cana-6024	19	2	3	3	NUM
cana-6024	19	3	]	]	PUNCT
cana-6024	19	4	.	.	PUNCT
cana-6024	20	1	the	the	DET
cana-6024	20	2	interpretation	interpretation	NOUN
cana-6024	20	3	of	of	ADP
cana-6024	20	4	ed	ed	PROPN
cana-6024	20	5	imaging	imaging	NOUN
cana-6024	20	6	data	datum	NOUN
cana-6024	20	7	is	be	AUX
cana-6024	20	8	however	however	ADV
cana-6024	20	9	complex	complex	ADJ
cana-6024	20	10	and	and	CCONJ
cana-6024	20	11	time	time	NOUN
cana-6024	20	12	consuming	consume	VERB
cana-6024	20	13	and	and	CCONJ
cana-6024	20	14	requires	require	VERB
cana-6024	20	15	expert	expert	ADJ
cana-6024	20	16	opinion	opinion	NOUN
cana-6024	20	17	.	.	PUNCT
cana-6024	21	1	the	the	DET
cana-6024	21	2	combination	combination	NOUN
cana-6024	21	3	of	of	ADP
cana-6024	21	4	deep	deep	ADJ
cana-6024	21	5	learning	learning	NOUN
cana-6024	21	6	and	and	CCONJ
cana-6024	21	7	the	the	DET
cana-6024	21	8	em	em	PROPN
cana-6024	21	9	imaging	imaging	NOUN
cana-6024	21	10	can	can	AUX
cana-6024	21	11	become	become	VERB
cana-6024	21	12	a	a	DET
cana-6024	21	13	groundbreaking	groundbreake	VERB
cana-6024	21	14	approach	approach	NOUN
cana-6024	21	15	to	to	ADP
cana-6024	21	16	real	real	ADJ
cana-6024	21	17	-	-	PUNCT
cana-6024	21	18	time	time	NOUN
cana-6024	21	19	and	and	CCONJ
cana-6024	21	20	automated	automate	VERB
cana-6024	21	21	identification	identification	NOUN
cana-6024	21	22	of	of	ADP
cana-6024	21	23	cracks	crack	NOUN
cana-6024	21	24	.	.	PUNCT
cana-6024	22	1	convolutional	convolutional	ADJ
cana-6024	22	2	neural	neural	ADJ
cana-6024	22	3	network	network	NOUN
cana-6024	22	4	(	(	PUNCT
cana-6024	22	5	cnn	cnn	PROPN
cana-6024	22	6	)	)	PUNCT
cana-6024	22	7	deep	deep	ADJ
cana-6024	22	8	learning	learning	NOUN
cana-6024	22	9	models	model	NOUN
cana-6024	22	10	have	have	AUX
cana-6024	22	11	seen	see	VERB
cana-6024	22	12	massive	massive	ADJ
cana-6024	22	13	successes	success	NOUN
cana-6024	22	14	in	in	ADP
cana-6024	22	15	image	image	NOUN
cana-6024	22	16	classification	classification	NOUN
cana-6024	22	17	,	,	PUNCT
cana-6024	22	18	segmentation	segmentation	NOUN
cana-6024	22	19	,	,	PUNCT
cana-6024	22	20	anomaly	anomaly	NOUN
cana-6024	22	21	detection	detection	NOUN
cana-6024	22	22	tasks	task	NOUN
cana-6024	22	23	in	in	ADP
cana-6024	22	24	multiple	multiple	ADJ
cana-6024	22	25	spheres	sphere	NOUN
cana-6024	22	26	.	.	PUNCT
cana-6024	23	1	these	these	DET
cana-6024	23	2	models	model	NOUN
cana-6024	23	3	used	use	VERB
cana-6024	23	4	on	on	ADP
cana-6024	23	5	em	em	PRON
cana-6024	23	6	imaging	image	VERB
cana-6024	23	7	data	datum	NOUN
cana-6024	23	8	have	have	VERB
cana-6024	23	9	the	the	DET
cana-6024	23	10	ability	ability	NOUN
cana-6024	23	11	to	to	PART
cana-6024	23	12	learn	learn	VERB
cana-6024	23	13	complex	complex	ADJ
cana-6024	23	14	patterns	pattern	NOUN
cana-6024	23	15	with	with	ADP
cana-6024	23	16	cracks	crack	NOUN
cana-6024	23	17	and	and	CCONJ
cana-6024	23	18	give	give	VERB
cana-6024	23	19	accurate	accurate	ADJ
cana-6024	23	20	and	and	CCONJ
cana-6024	23	21	quick	quick	ADJ
cana-6024	23	22	judgments	judgment	NOUN
cana-6024	23	23	.	.	PUNCT
cana-6024	24	1	this	this	DET
cana-6024	24	2	study	study	NOUN
cana-6024	24	3	addresses	address	VERB
cana-6024	24	4	the	the	DET
cana-6024	24	5	methods	method	NOUN
cana-6024	24	6	and	and	CCONJ
cana-6024	24	7	technicalities	technicality	NOUN
cana-6024	24	8	of	of	ADP
cana-6024	24	9	the	the	DET
cana-6024	24	10	development	development	NOUN
cana-6024	24	11	and	and	CCONJ
cana-6024	24	12	application	application	NOUN
cana-6024	24	13	of	of	ADP
cana-6024	24	14	deep	deep	ADJ
cana-6024	24	15	learning	learning	NOUN
cana-6024	24	16	algorithm	algorithm	NOUN
cana-6024	24	17	to	to	PART
cana-6024	24	18	improve	improve	VERB
cana-6024	24	19	crack	crack	NOUN
cana-6024	24	20	detection	detection	NOUN
cana-6024	24	21	in	in	ADP
cana-6024	24	22	concrete	concrete	ADJ
cana-6024	24	23	building	building	NOUN
cana-6024	24	24	using	use	VERB
cana-6024	24	25	em	em	PRON
cana-6024	24	26	imaging	imaging	NOUN
cana-6024	24	27	.	.	PUNCT
cana-6024	25	1	the	the	DET
cana-6024	25	2	project	project	NOUN
cana-6024	25	3	seeks	seek	VERB
cana-6024	25	4	to	to	PART
cana-6024	25	5	develop	develop	VERB
cana-6024	25	6	a	a	DET
cana-6024	25	7	real	real	ADJ
cana-6024	25	8	time	time	NOUN
cana-6024	25	9	automated	automate	VERB
cana-6024	25	10	smart	smart	ADJ
cana-6024	25	11	system	system	NOUN
cana-6024	25	12	which	which	PRON
cana-6024	25	13	is	be	AUX
cana-6024	25	14	able	able	ADJ
cana-6024	25	15	to	to	PART
cana-6024	25	16	detect	detect	VERB
cana-6024	25	17	and	and	CCONJ
cana-6024	25	18	locate	locate	ADJ
cana-6024	25	19	cracks	crack	NOUN
cana-6024	25	20	in	in	ADP
cana-6024	25	21	a	a	DET
cana-6024	25	22	precise	precise	ADJ
cana-6024	25	23	manner	manner	NOUN
cana-6024	25	24	.	.	PUNCT
cana-6024	26	1	the	the	DET
cana-6024	26	2	proposed	propose	VERB
cana-6024	26	3	method	method	NOUN
cana-6024	26	4	allows	allow	VERB
cana-6024	26	5	improving	improve	VERB
cana-6024	26	6	the	the	DET
cana-6024	26	7	depth	depth	NOUN
cana-6024	26	8	sensitivity	sensitivity	NOUN
cana-6024	26	9	of	of	ADP
cana-6024	26	10	electromagnetic	electromagnetic	ADJ
cana-6024	26	11	imaging	imaging	NOUN
cana-6024	26	12	and	and	CCONJ
cana-6024	26	13	pattern	pattern	NOUN
cana-6024	26	14	recognition	recognition	NOUN
cana-6024	26	15	capabilities	capability	NOUN
cana-6024	26	16	of	of	ADP
cana-6024	26	17	deep	deep	ADJ
cana-6024	26	18	learning	learning	NOUN
cana-6024	26	19	which	which	PRON
cana-6024	26	20	can	can	AUX
cana-6024	26	21	be	be	AUX
cana-6024	26	22	used	use	VERB
cana-6024	26	23	to	to	PART
cana-6024	26	24	overcome	overcome	VERB
cana-6024	26	25	weaknesses	weakness	NOUN
cana-6024	26	26	of	of	ADP
cana-6024	26	27	conventional	conventional	ADJ
cana-6024	26	28	structural	structural	ADJ
cana-6024	26	29	health	health	NOUN
cana-6024	26	30	monitoring	monitoring	NOUN
cana-6024	26	31	and	and	CCONJ
cana-6024	26	32	lead	lead	VERB
cana-6024	26	33	to	to	ADP
cana-6024	26	34	a	a	DET
cana-6024	26	35	novel	novel	ADJ
cana-6024	26	36	category	category	NOUN
cana-6024	26	37	of	of	ADP
cana-6024	26	38	smart	smart	ADJ
cana-6024	26	39	,	,	PUNCT
cana-6024	26	40	ai	ai	NOUN
cana-6024	26	41	-	-	PUNCT
cana-6024	26	42	based	base	VERB
cana-6024	26	43	structural	structural	ADJ
cana-6024	26	44	health	health	NOUN
cana-6024	26	45	monitoring	monitoring	NOUN
cana-6024	26	46	of	of	ADP
cana-6024	26	47	target	target	NOUN
cana-6024	26	48	structures	structure	NOUN
cana-6024	26	49	.	.	PUNCT
cana-6024	27	1	ii	ii	X
cana-6024	27	2	.	.	PROPN
cana-6024	27	3	related	relate	VERB
cana-6024	27	4	works	work	VERB
cana-6024	27	5	current	current	ADJ
cana-6024	27	6	innovations	innovation	NOUN
cana-6024	27	7	in	in	ADP
cana-6024	27	8	the	the	DET
cana-6024	27	9	field	field	NOUN
cana-6024	27	10	of	of	ADP
cana-6024	27	11	structural	structural	ADJ
cana-6024	27	12	health	health	NOUN
cana-6024	27	13	monitoring	monitoring	NOUN
cana-6024	27	14	(	(	PUNCT
cana-6024	27	15	shm	shm	NOUN
cana-6024	27	16	)	)	PUNCT
cana-6024	27	17	regarding	regard	VERB
cana-6024	27	18	monitoring	monitoring	NOUN
cana-6024	27	19	of	of	ADP
cana-6024	27	20	concrete	concrete	ADJ
cana-6024	27	21	structures	structure	NOUN
cana-6024	27	22	,	,	PUNCT
cana-6024	27	23	in	in	ADP
cana-6024	27	24	particular	particular	ADJ
cana-6024	27	25	,	,	PUNCT
cana-6024	27	26	have	have	AUX
cana-6024	27	27	become	become	VERB
cana-6024	27	28	more	more	ADV
cana-6024	27	29	interested	interested	ADJ
cana-6024	27	30	in	in	ADP
cana-6024	27	31	combining	combine	VERB
cana-6024	27	32	non	non	ADJ
cana-6024	27	33	-	-	ADJ
cana-6024	27	34	destructive	destructive	ADJ
cana-6024	27	35	testing	testing	NOUN
cana-6024	27	36	(	(	PUNCT
cana-6024	27	37	ndt	ndt	NOUN
cana-6024	27	38	)	)	PUNCT
cana-6024	27	39	methods	method	NOUN
cana-6024	27	40	and	and	CCONJ
cana-6024	27	41	artificial	artificial	ADJ
cana-6024	27	42	intelligence	intelligence	NOUN
cana-6024	27	43	(	(	PUNCT
cana-6024	27	44	ai)-based	ai)-based	ADJ
cana-6024	27	45	diagnosis	diagnosis	NOUN
cana-6024	27	46	.	.	PUNCT
cana-6024	28	1	in	in	ADP
cana-6024	28	2	harsh	harsh	ADJ
cana-6024	28	3	conditions	condition	NOUN
cana-6024	28	4	communications	communication	NOUN
cana-6024	28	5	on	on	ADP
cana-6024	28	6	applied	apply	VERB
cana-6024	28	7	nonlinear	nonlinear	ADJ
cana-6024	28	8	analysis	analysis	NOUN
cana-6024	28	9	issn	issn	NOUN
cana-6024	28	10	:	:	PUNCT
cana-6024	28	11	1074	1074	NUM
cana-6024	28	12	-	-	PUNCT
cana-6024	28	13	133x	133x	NUM
cana-6024	28	14	vol	vol	NOUN
cana-6024	28	15	31	31	NUM
cana-6024	28	16	no	no	NOUN
cana-6024	28	17	.	.	PUNCT
cana-6024	29	1	8s	8s	PROPN
cana-6024	29	2	(	(	PUNCT
cana-6024	29	3	2024	2024	NUM
cana-6024	29	4	)	)	PUNCT
cana-6024	29	5	1141	1141	NUM
cana-6024	29	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	29	7	(	(	PUNCT
cana-6024	29	8	marine	marine	ADJ
cana-6024	29	9	or	or	CCONJ
cana-6024	29	10	underground	underground	ADJ
cana-6024	29	11	)	)	PUNCT
cana-6024	29	12	concrete	concrete	ADJ
cana-6024	29	13	buildings	building	NOUN
cana-6024	29	14	suffer	suffer	VERB
cana-6024	29	15	an	an	DET
cana-6024	29	16	escalated	escalate	VERB
cana-6024	29	17	rate	rate	NOUN
cana-6024	29	18	of	of	ADP
cana-6024	29	19	deterioration	deterioration	NOUN
cana-6024	29	20	,	,	PUNCT
cana-6024	29	21	and	and	CCONJ
cana-6024	29	22	thus	thus	ADV
cana-6024	29	23	scientists	scientist	NOUN
cana-6024	29	24	refer	refer	VERB
cana-6024	29	25	to	to	ADP
cana-6024	29	26	more	more	ADV
cana-6024	29	27	durable	durable	ADJ
cana-6024	29	28	inspection	inspection	NOUN
cana-6024	29	29	and	and	CCONJ
cana-6024	29	30	detection	detection	NOUN
cana-6024	29	31	techniques	technique	NOUN
cana-6024	29	32	.	.	PUNCT
cana-6024	30	1	lee	lee	PROPN
cana-6024	30	2	et	et	PROPN
cana-6024	30	3	al	al	PROPN
cana-6024	30	4	.	.	PUNCT
cana-6024	31	1	[	[	X
cana-6024	31	2	15	15	NUM
cana-6024	31	3	]	]	PUNCT
cana-6024	31	4	,	,	PUNCT
cana-6024	31	5	recommended	recommend	VERB
cana-6024	31	6	a	a	DET
cana-6024	31	7	general	general	ADJ
cana-6024	31	8	review	review	NOUN
cana-6024	31	9	on	on	ADP
cana-6024	31	10	surface	surface	NOUN
cana-6024	31	11	coatings	coating	NOUN
cana-6024	31	12	and	and	CCONJ
cana-6024	31	13	inspection	inspection	NOUN
cana-6024	31	14	technologies	technology	NOUN
cana-6024	31	15	that	that	PRON
cana-6024	31	16	are	be	AUX
cana-6024	31	17	specific	specific	ADJ
cana-6024	31	18	to	to	ADP
cana-6024	31	19	a	a	DET
cana-6024	31	20	marine	marine	ADJ
cana-6024	31	21	exposed	expose	VERB
cana-6024	31	22	concrete	concrete	ADJ
cana-6024	31	23	structure	structure	NOUN
cana-6024	31	24	.	.	PUNCT
cana-6024	32	1	they	they	PRON
cana-6024	32	2	gave	give	VERB
cana-6024	32	3	an	an	DET
cana-6024	32	4	emphasis	emphasis	NOUN
cana-6024	32	5	in	in	ADP
cana-6024	32	6	early	early	ADJ
cana-6024	32	7	detection	detection	NOUN
cana-6024	32	8	of	of	ADP
cana-6024	32	9	defects	defect	NOUN
cana-6024	32	10	using	use	VERB
cana-6024	32	11	automated	automate	VERB
cana-6024	32	12	inspection	inspection	NOUN
cana-6024	32	13	systems	system	NOUN
cana-6024	32	14	to	to	PART
cana-6024	32	15	ensure	ensure	VERB
cana-6024	32	16	that	that	SCONJ
cana-6024	32	17	life	life	NOUN
cana-6024	32	18	of	of	ADP
cana-6024	32	19	a	a	DET
cana-6024	32	20	service	service	NOUN
cana-6024	32	21	is	be	AUX
cana-6024	32	22	longer	long	ADJ
cana-6024	32	23	and	and	CCONJ
cana-6024	32	24	maintenance	maintenance	NOUN
cana-6024	32	25	cost	cost	NOUN
cana-6024	32	26	reduced	reduce	VERB
cana-6024	32	27	.	.	PUNCT
cana-6024	33	1	important	important	ADJ
cana-6024	33	2	electromagnetic	electromagnetic	ADJ
cana-6024	33	3	methods	method	NOUN
cana-6024	33	4	are	be	AUX
cana-6024	33	5	ground	ground	NOUN
cana-6024	33	6	penetrating	penetrate	VERB
cana-6024	33	7	radar	radar	NOUN
cana-6024	33	8	(	(	PUNCT
cana-6024	33	9	gpr	gpr	PROPN
cana-6024	33	10	)	)	PUNCT
cana-6024	33	11	that	that	PRON
cana-6024	33	12	has	have	VERB
cana-6024	33	13	potential	potential	NOUN
cana-6024	33	14	in	in	ADP
cana-6024	33	15	subsurface	subsurface	NOUN
cana-6024	33	16	crack	crack	NOUN
cana-6024	33	17	detection	detection	NOUN
cana-6024	33	18	.	.	PUNCT
cana-6024	34	1	li	li	PROPN
cana-6024	34	2	et	et	PROPN
cana-6024	34	3	al	al	PROPN
cana-6024	34	4	.	.	PUNCT
cana-6024	35	1	[	[	X
cana-6024	35	2	16	16	NUM
cana-6024	35	3	]	]	PUNCT
cana-6024	35	4	proposed	propose	VERB
cana-6024	35	5	a	a	DET
cana-6024	35	6	multidomained	multidomaine	VERB
cana-6024	35	7	feature	feature	NOUN
cana-6024	35	8	extraction	extraction	NOUN
cana-6024	35	9	method	method	NOUN
cana-6024	35	10	on	on	ADP
cana-6024	35	11	the	the	DET
cana-6024	35	12	gpr	gpr	NOUN
cana-6024	35	13	-	-	PUNCT
cana-6024	35	14	aliased	aliase	VERB
cana-6024	35	15	signals	signal	NOUN
cana-6024	35	16	representing	represent	VERB
cana-6024	35	17	a	a	DET
cana-6024	35	18	scenario	scenario	NOUN
cana-6024	35	19	where	where	SCONJ
cana-6024	35	20	signal	signal	NOUN
cana-6024	35	21	processing	processing	NOUN
cana-6024	35	22	may	may	AUX
cana-6024	35	23	be	be	AUX
cana-6024	35	24	used	use	VERB
cana-6024	35	25	to	to	PART
cana-6024	35	26	improve	improve	VERB
cana-6024	35	27	crack	crack	NOUN
cana-6024	35	28	detection	detection	NOUN
cana-6024	35	29	in	in	ADP
cana-6024	35	30	noisy	noisy	ADJ
cana-6024	35	31	environments	environment	NOUN
cana-6024	35	32	.	.	PUNCT
cana-6024	36	1	convolutional	convolutional	ADJ
cana-6024	36	2	neural	neural	ADJ
cana-6024	36	3	networks	network	NOUN
cana-6024	36	4	(	(	PUNCT
cana-6024	36	5	cnns	cnns	PROPN
cana-6024	36	6	)	)	PUNCT
cana-6024	36	7	have	have	AUX
cana-6024	36	8	grown	grow	VERB
cana-6024	36	9	to	to	PART
cana-6024	36	10	be	be	AUX
cana-6024	36	11	an	an	DET
cana-6024	36	12	effective	effective	ADJ
cana-6024	36	13	way	way	NOUN
cana-6024	36	14	of	of	ADP
cana-6024	36	15	automating	automate	VERB
cana-6024	36	16	the	the	DET
cana-6024	36	17	process	process	NOUN
cana-6024	36	18	of	of	ADP
cana-6024	36	19	detecting	detect	VERB
cana-6024	36	20	the	the	DET
cana-6024	36	21	crack	crack	NOUN
cana-6024	36	22	with	with	ADP
cana-6024	36	23	the	the	DET
cana-6024	36	24	application	application	NOUN
cana-6024	36	25	of	of	ADP
cana-6024	36	26	deep	deep	ADJ
cana-6024	36	27	learning	learning	NOUN
cana-6024	36	28	models	model	NOUN
cana-6024	36	29	.	.	PUNCT
cana-6024	37	1	liu	liu	PROPN
cana-6024	37	2	et	et	PROPN
cana-6024	37	3	al	al	PROPN
cana-6024	37	4	.	.	PUNCT
cana-6024	38	1	[	[	X
cana-6024	38	2	17	17	NUM
cana-6024	38	3	]	]	PUNCT
cana-6024	38	4	applied	apply	VERB
cana-6024	38	5	deep	deep	ADJ
cana-6024	38	6	cnns	cnn	NOUN
cana-6024	38	7	to	to	PART
cana-6024	38	8	capture	capture	VERB
cana-6024	38	9	concrete	concrete	ADJ
cana-6024	38	10	surface	surface	NOUN
cana-6024	38	11	cracks	crack	NOUN
cana-6024	38	12	simultaneously	simultaneously	ADV
cana-6024	38	13	using	use	VERB
cana-6024	38	14	binocular	binocular	ADJ
cana-6024	38	15	video	video	NOUN
cana-6024	38	16	to	to	PART
cana-6024	38	17	obtain	obtain	VERB
cana-6024	38	18	quantification	quantification	NOUN
cana-6024	38	19	on	on	ADP
cana-6024	38	20	the	the	DET
cana-6024	38	21	crack	crack	NOUN
cana-6024	38	22	at	at	ADP
cana-6024	38	23	a	a	DET
cana-6024	38	24	pixel	pixel	NOUN
cana-6024	38	25	level	level	NOUN
cana-6024	38	26	automatically	automatically	ADV
cana-6024	38	27	.	.	PUNCT
cana-6024	39	1	their	their	PRON
cana-6024	39	2	system	system	NOUN
cana-6024	39	3	recorded	record	VERB
cana-6024	39	4	a	a	DET
cana-6024	39	5	high	high	ADJ
cana-6024	39	6	spatial	spatial	ADJ
cana-6024	39	7	accuracy	accuracy	NOUN
cana-6024	39	8	and	and	CCONJ
cana-6024	39	9	this	this	PRON
cana-6024	39	10	means	mean	VERB
cana-6024	39	11	that	that	SCONJ
cana-6024	39	12	it	it	PRON
cana-6024	39	13	can	can	AUX
cana-6024	39	14	be	be	AUX
cana-6024	39	15	used	use	VERB
cana-6024	39	16	to	to	PART
cana-6024	39	17	evaluate	evaluate	VERB
cana-6024	39	18	damaged	damaged	ADJ
cana-6024	39	19	sites	site	NOUN
cana-6024	39	20	in	in	ADP
cana-6024	39	21	detail	detail	NOUN
cana-6024	39	22	.	.	PUNCT
cana-6024	40	1	on	on	ADP
cana-6024	40	2	the	the	DET
cana-6024	40	3	same	same	ADJ
cana-6024	40	4	note	note	NOUN
cana-6024	40	5	,	,	PUNCT
cana-6024	40	6	liu	liu	PROPN
cana-6024	40	7	et	et	PROPN
cana-6024	40	8	al	al	PROPN
cana-6024	40	9	.	.	PUNCT
cana-6024	41	1	[	[	X
cana-6024	41	2	18	18	NUM
cana-6024	41	3	]	]	PUNCT
cana-6024	41	4	used	use	VERB
cana-6024	41	5	gpr	gpr	PROPN
cana-6024	41	6	imaging	imaging	NOUN
cana-6024	41	7	in	in	ADP
cana-6024	41	8	tandem	tandem	PROPN
cana-6024	41	9	with	with	ADP
cana-6024	41	10	cnn	cnn	PROPN
cana-6024	41	11	based	base	VERB
cana-6024	41	12	classification	classification	NOUN
cana-6024	41	13	models	model	NOUN
cana-6024	41	14	to	to	PART
cana-6024	41	15	classify	classify	VERB
cana-6024	41	16	internal	internal	ADJ
cana-6024	41	17	damage	damage	NOUN
cana-6024	41	18	in	in	ADP
cana-6024	41	19	concrete	concrete	ADJ
cana-6024	41	20	beams	beam	NOUN
cana-6024	41	21	,	,	PUNCT
cana-6024	41	22	prompting	prompt	VERB
cana-6024	41	23	the	the	DET
cana-6024	41	24	importance	importance	NOUN
cana-6024	41	25	of	of	ADP
cana-6024	41	26	integrating	integrate	VERB
cana-6024	41	27	electromagnetic	electromagnetic	ADJ
cana-6024	41	28	imaging	imaging	NOUN
cana-6024	41	29	with	with	ADP
cana-6024	41	30	deep	deep	ADJ
cana-6024	41	31	learning	learning	NOUN
cana-6024	41	32	towards	towards	ADP
cana-6024	41	33	more	more	ADV
cana-6024	41	34	interpretable	interpretable	ADJ
cana-6024	41	35	models	model	NOUN
cana-6024	41	36	.	.	PUNCT
cana-6024	42	1	going	go	VERB
cana-6024	42	2	beyond	beyond	ADP
cana-6024	42	3	detection	detection	NOUN
cana-6024	42	4	to	to	ADP
cana-6024	42	5	prediction	prediction	NOUN
cana-6024	42	6	,	,	PUNCT
cana-6024	42	7	luo	luo	PROPN
cana-6024	42	8	and	and	CCONJ
cana-6024	42	9	matsumoto	matsumoto	PROPN
cana-6024	42	10	[	[	X
cana-6024	42	11	19	19	NUM
cana-6024	42	12	]	]	PUNCT
cana-6024	42	13	introduced	introduce	VERB
cana-6024	42	14	a	a	DET
cana-6024	42	15	deep	deep	ADJ
cana-6024	42	16	learning	learning	NOUN
cana-6024	42	17	method	method	NOUN
cana-6024	42	18	of	of	ADP
cana-6024	42	19	tensile	tensile	NOUN
cana-6024	42	20	strength	strength	NOUN
cana-6024	42	21	of	of	ADP
cana-6024	42	22	ultra	ultra	ADJ
cana-6024	42	23	-	-	ADJ
cana-6024	42	24	high	high	ADJ
cana-6024	42	25	-	-	PUNCT
cana-6024	42	26	performance	performance	NOUN
cana-6024	42	27	fiber	fiber	NOUN
cana-6024	42	28	-	-	PUNCT
cana-6024	42	29	reinforced	reinforce	VERB
cana-6024	42	30	concrete	concrete	NOUN
cana-6024	42	31	(	(	PUNCT
cana-6024	42	32	uhpfrc	uhpfrc	NOUN
cana-6024	42	33	)	)	PUNCT
cana-6024	42	34	being	be	AUX
cana-6024	42	35	estimated	estimate	VERB
cana-6024	42	36	as	as	ADP
cana-6024	42	37	a	a	DET
cana-6024	42	38	factor	factor	NOUN
cana-6024	42	39	of	of	ADP
cana-6024	42	40	predicted	predict	VERB
cana-6024	42	41	locations	location	NOUN
cana-6024	42	42	of	of	ADP
cana-6024	42	43	cracking	cracking	NOUN
cana-6024	42	44	.	.	PUNCT
cana-6024	43	1	this	this	PRON
cana-6024	43	2	is	be	AUX
cana-6024	43	3	what	what	PRON
cana-6024	43	4	can	can	AUX
cana-6024	43	5	be	be	AUX
cana-6024	43	6	seen	see	VERB
cana-6024	43	7	as	as	ADP
cana-6024	43	8	a	a	DET
cana-6024	43	9	transformation	transformation	NOUN
cana-6024	43	10	of	of	ADP
cana-6024	43	11	the	the	DET
cana-6024	43	12	passive	passive	ADJ
cana-6024	43	13	inspection	inspection	NOUN
cana-6024	43	14	into	into	ADP
cana-6024	43	15	predictive	predictive	ADJ
cana-6024	43	16	af	af	PROPN
cana-6024	43	17	with	with	ADP
cana-6024	43	18	the	the	DET
cana-6024	43	19	use	use	NOUN
cana-6024	43	20	of	of	ADP
cana-6024	43	21	ai	ai	NOUN
cana-6024	43	22	.	.	PUNCT
cana-6024	44	1	sensing	sense	VERB
cana-6024	44	2	technologies	technology	NOUN
cana-6024	44	3	have	have	AUX
cana-6024	44	4	continued	continue	VERB
cana-6024	44	5	to	to	PART
cana-6024	44	6	be	be	AUX
cana-6024	44	7	a	a	DET
cana-6024	44	8	leader	leader	NOUN
cana-6024	44	9	in	in	ADP
cana-6024	44	10	shm	shm	PROPN
cana-6024	44	11	.	.	PUNCT
cana-6024	44	12	mardanshahi	mardanshahi	PROPN
cana-6024	44	13	et	et	PROPN
cana-6024	44	14	al	al	PROPN
cana-6024	44	15	.	.	PUNCT
cana-6024	45	1	[	[	X
cana-6024	45	2	20	20	NUM
cana-6024	45	3	]	]	PUNCT
cana-6024	45	4	overviewed	overviewe	VERB
cana-6024	45	5	contemporary	contemporary	ADJ
cana-6024	45	6	sensing	sense	VERB
cana-6024	45	7	approaches	approach	NOUN
cana-6024	45	8	,	,	PUNCT
cana-6024	45	9	such	such	ADJ
cana-6024	45	10	as	as	ADP
cana-6024	45	11	em	em	PRON
cana-6024	45	12	and	and	CCONJ
cana-6024	45	13	acoustic	acoustic	ADV
cana-6024	45	14	-	-	PUNCT
cana-6024	45	15	based	base	VERB
cana-6024	45	16	sensing	sensing	NOUN
cana-6024	45	17	,	,	PUNCT
cana-6024	45	18	and	and	CCONJ
cana-6024	45	19	explained	explain	VERB
cana-6024	45	20	how	how	SCONJ
cana-6024	45	21	they	they	PRON
cana-6024	45	22	can	can	AUX
cana-6024	45	23	be	be	AUX
cana-6024	45	24	compatible	compatible	ADJ
cana-6024	45	25	with	with	ADP
cana-6024	45	26	the	the	DET
cana-6024	45	27	ai	ai	ADJ
cana-6024	45	28	algorithms	algorithm	NOUN
cana-6024	45	29	.	.	PUNCT
cana-6024	46	1	the	the	DET
cana-6024	46	2	intersection	intersection	NOUN
cana-6024	46	3	is	be	AUX
cana-6024	46	4	especially	especially	ADV
cana-6024	46	5	useful	useful	ADJ
cana-6024	46	6	when	when	SCONJ
cana-6024	46	7	monitoring	monitor	VERB
cana-6024	46	8	concrete	concrete	ADJ
cana-6024	46	9	tunnel	tunnel	NOUN
cana-6024	46	10	and	and	CCONJ
cana-6024	46	11	bridges	bridge	NOUN
cana-6024	46	12	in	in	ADP
cana-6024	46	13	real	real	ADJ
cana-6024	46	14	-	-	PUNCT
cana-6024	46	15	time	time	NOUN
cana-6024	46	16	.	.	PUNCT
cana-6024	47	1	as	as	ADP
cana-6024	47	2	an	an	DET
cana-6024	47	3	instance	instance	NOUN
cana-6024	47	4	,	,	PUNCT
cana-6024	47	5	mengwen	mengwen	PROPN
cana-6024	47	6	et	et	PROPN
cana-6024	47	7	al	al	PROPN
cana-6024	47	8	.	.	PUNCT
cana-6024	48	1	[	[	X
cana-6024	48	2	21	21	NUM
cana-6024	48	3	]	]	PUNCT
cana-6024	48	4	used	use	VERB
cana-6024	48	5	u	u	NOUN
cana-6024	48	6	-	-	ADJ
cana-6024	48	7	net	net	ADJ
cana-6024	48	8	segmentation	segmentation	NOUN
cana-6024	48	9	on	on	ADP
cana-6024	48	10	electrical	electrical	ADJ
cana-6024	48	11	resistivity	resistivity	NOUN
cana-6024	48	12	tomography	tomography	NOUN
cana-6024	48	13	data	datum	NOUN
cana-6024	48	14	under	under	ADP
cana-6024	48	15	contamination	contamination	NOUN
cana-6024	48	16	localization	localization	NOUN
cana-6024	48	17	,	,	PUNCT
cana-6024	48	18	demonstrating	demonstrate	VERB
cana-6024	48	19	the	the	DET
cana-6024	48	20	efficiency	efficiency	NOUN
cana-6024	48	21	of	of	ADP
cana-6024	48	22	the	the	DET
cana-6024	48	23	semantic	semantic	ADJ
cana-6024	48	24	segmentation	segmentation	NOUN
cana-6024	48	25	models	model	NOUN
cana-6024	48	26	in	in	ADP
cana-6024	48	27	the	the	DET
cana-6024	48	28	subsurface	subsurface	NOUN
cana-6024	48	29	mapping	mapping	NOUN
cana-6024	48	30	exercise	exercise	NOUN
cana-6024	48	31	.	.	PUNCT
cana-6024	49	1	patrizia	patrizia	PROPN
cana-6024	49	2	et	et	PROPN
cana-6024	49	3	al	al	PROPN
cana-6024	49	4	.	.	PUNCT
cana-6024	50	1	[	[	X
cana-6024	50	2	22	22	NUM
cana-6024	50	3	]	]	PUNCT
cana-6024	50	4	assessed	assess	VERB
cana-6024	50	5	the	the	DET
cana-6024	50	6	use	use	NOUN
cana-6024	50	7	of	of	ADP
cana-6024	50	8	electromagnetic	electromagnetic	ADJ
cana-6024	50	9	methods	method	NOUN
cana-6024	50	10	in	in	ADP
cana-6024	50	11	cultural	cultural	ADJ
cana-6024	50	12	heritage	heritage	NOUN
cana-6024	50	13	diagnostics	diagnostic	NOUN
cana-6024	50	14	,	,	PUNCT
cana-6024	50	15	citing	cite	VERB
cana-6024	50	16	the	the	DET
cana-6024	50	17	issues	issue	NOUN
cana-6024	50	18	regarding	regard	VERB
cana-6024	50	19	the	the	DET
cana-6024	50	20	technique	technique	NOUN
cana-6024	50	21	,	,	PUNCT
cana-6024	50	22	as	as	ADV
cana-6024	50	23	well	well	ADV
cana-6024	50	24	as	as	ADP
cana-6024	50	25	opportunities	opportunity	NOUN
cana-6024	50	26	in	in	ADP
cana-6024	50	27	the	the	DET
cana-6024	50	28	future	future	ADJ
cana-6024	50	29	perspective	perspective	NOUN
cana-6024	50	30	of	of	ADP
cana-6024	50	31	using	use	VERB
cana-6024	50	32	em	em	PRON
cana-6024	50	33	imaging	image	VERB
cana-6024	50	34	to	to	PART
cana-6024	50	35	deal	deal	VERB
cana-6024	50	36	with	with	ADP
cana-6024	50	37	poorly	poorly	ADV
cana-6024	50	38	-	-	PUNCT
cana-6024	50	39	held	hold	VERB
cana-6024	50	40	or	or	CCONJ
cana-6024	50	41	old	old	ADJ
cana-6024	50	42	structures	structure	NOUN
cana-6024	50	43	.	.	PUNCT
cana-6024	51	1	their	their	PRON
cana-6024	51	2	findings	finding	NOUN
cana-6024	51	3	can	can	AUX
cana-6024	51	4	be	be	AUX
cana-6024	51	5	used	use	VERB
cana-6024	51	6	in	in	ADP
cana-6024	51	7	civil	civil	ADJ
cana-6024	51	8	infrastructure	infrastructure	NOUN
cana-6024	51	9	,	,	PUNCT
cana-6024	51	10	where	where	SCONJ
cana-6024	51	11	non	non	ADJ
cana-6024	51	12	-	-	ADJ
cana-6024	51	13	invasive	invasive	ADJ
cana-6024	51	14	procedures	procedure	NOUN
cana-6024	51	15	are	be	AUX
cana-6024	51	16	of	of	ADP
cana-6024	51	17	essence	essence	NOUN
cana-6024	51	18	.	.	PUNCT
cana-6024	52	1	in	in	ADP
cana-6024	52	2	case	case	NOUN
cana-6024	52	3	of	of	ADP
cana-6024	52	4	the	the	DET
cana-6024	52	5	tunnel	tunnel	NOUN
cana-6024	52	6	inspections	inspection	NOUN
cana-6024	52	7	,	,	PUNCT
cana-6024	52	8	poncetti	poncetti	NOUN
cana-6024	52	9	et	et	NOUN
cana-6024	52	10	al	al	PROPN
cana-6024	52	11	.	.	PUNCT
cana-6024	53	1	[	[	X
cana-6024	53	2	23	23	NUM
cana-6024	53	3	]	]	PUNCT
cana-6024	53	4	examined	examine	VERB
cana-6024	53	5	the	the	DET
cana-6024	53	6	new	new	ADJ
cana-6024	53	7	normative	normative	ADJ
cana-6024	53	8	practice	practice	NOUN
cana-6024	53	9	and	and	CCONJ
cana-6024	53	10	advanced	advanced	ADJ
cana-6024	53	11	methods	method	NOUN
cana-6024	53	12	of	of	ADP
cana-6024	53	13	ndt	ndt	PROPN
cana-6024	53	14	to	to	PART
cana-6024	53	15	perform	perform	VERB
cana-6024	53	16	inspection	inspection	NOUN
cana-6024	53	17	of	of	ADP
cana-6024	53	18	concrete	concrete	NOUN
cana-6024	53	19	-	-	PUNCT
cana-6024	53	20	covered	cover	VERB
cana-6024	53	21	wall	wall	NOUN
cana-6024	53	22	of	of	ADP
cana-6024	53	23	a	a	DET
cana-6024	53	24	tunnel	tunnel	NOUN
cana-6024	53	25	.	.	PUNCT
cana-6024	54	1	their	their	PRON
cana-6024	54	2	work	work	NOUN
cana-6024	54	3	confirms	confirm	VERB
cana-6024	54	4	on	on	ADP
cana-6024	54	5	the	the	DET
cana-6024	54	6	applicability	applicability	NOUN
cana-6024	54	7	of	of	ADP
cana-6024	54	8	ai	ai	NOUN
cana-6024	54	9	-	-	PUNCT
cana-6024	54	10	powered	power	VERB
cana-6024	54	11	em	em	PRON
cana-6024	54	12	inspection	inspection	NOUN
cana-6024	54	13	in	in	ADP
cana-6024	54	14	restricted	restricted	ADJ
cana-6024	54	15	or	or	CCONJ
cana-6024	54	16	risky	risky	ADJ
cana-6024	54	17	areas	area	NOUN
cana-6024	54	18	.	.	PUNCT
cana-6024	55	1	further	further	ADJ
cana-6024	55	2	elaboration	elaboration	NOUN
cana-6024	55	3	of	of	ADP
cana-6024	55	4	this	this	PRON
cana-6024	55	5	was	be	AUX
cana-6024	55	6	undertaken	undertake	VERB
cana-6024	55	7	by	by	ADP
cana-6024	55	8	prakash	prakash	PROPN
cana-6024	55	9	et	et	PROPN
cana-6024	55	10	al	al	PROPN
cana-6024	55	11	.	.	PUNCT
cana-6024	56	1	[	[	X
cana-6024	56	2	24	24	NUM
cana-6024	56	3	]	]	PUNCT
cana-6024	56	4	,	,	PUNCT
cana-6024	56	5	who	who	PRON
cana-6024	56	6	provided	provide	VERB
cana-6024	56	7	a	a	DET
cana-6024	56	8	narrative	narrative	ADJ
cana-6024	56	9	review	review	NOUN
cana-6024	56	10	of	of	ADP
cana-6024	56	11	current	current	ADJ
cana-6024	56	12	practices	practice	NOUN
cana-6024	56	13	in	in	ADP
cana-6024	56	14	artificial	artificial	ADJ
cana-6024	56	15	intelligence	intelligence	NOUN
cana-6024	56	16	used	use	VERB
cana-6024	56	17	to	to	PART
cana-6024	56	18	monitor	monitor	VERB
cana-6024	56	19	the	the	DET
cana-6024	56	20	health	health	NOUN
cana-6024	56	21	of	of	ADP
cana-6024	56	22	concrete	concrete	ADJ
cana-6024	56	23	bridge	bridge	NOUN
cana-6024	56	24	structures	structure	NOUN
cana-6024	56	25	,	,	PUNCT
cana-6024	56	26	which	which	PRON
cana-6024	56	27	confirmed	confirm	VERB
cana-6024	56	28	that	that	SCONJ
cana-6024	56	29	deep	deep	ADJ
cana-6024	56	30	learning	learning	NOUN
cana-6024	56	31	is	be	AUX
cana-6024	56	32	increasingly	increasingly	ADV
cana-6024	56	33	becoming	become	VERB
cana-6024	56	34	a	a	DET
cana-6024	56	35	dominant	dominant	ADJ
cana-6024	56	36	method	method	NOUN
cana-6024	56	37	of	of	ADP
cana-6024	56	38	large	large	ADJ
cana-6024	56	39	-	-	PUNCT
cana-6024	56	40	scale	scale	NOUN
cana-6024	56	41	infrastructure	infrastructure	NOUN
cana-6024	56	42	inspection	inspection	NOUN
cana-6024	56	43	.	.	PUNCT
cana-6024	57	1	although	although	SCONJ
cana-6024	57	2	the	the	DET
cana-6024	57	3	bulk	bulk	NOUN
cana-6024	57	4	of	of	ADP
cana-6024	57	5	investigations	investigation	NOUN
cana-6024	57	6	lie	lie	VERB
cana-6024	57	7	in	in	ADP
cana-6024	57	8	civil	civil	ADJ
cana-6024	57	9	applications	application	NOUN
cana-6024	57	10	,	,	PUNCT
cana-6024	57	11	advances	advance	NOUN
cana-6024	57	12	in	in	ADP
cana-6024	57	13	adjacent	adjacent	ADJ
cana-6024	57	14	fields	field	NOUN
cana-6024	57	15	can	can	AUX
cana-6024	57	16	contribute	contribute	VERB
cana-6024	57	17	new	new	ADJ
cana-6024	57	18	ideas	idea	NOUN
cana-6024	57	19	into	into	ADP
cana-6024	57	20	inter	inter	ADJ
cana-6024	57	21	-	-	ADJ
cana-6024	57	22	disciplinary	disciplinary	ADJ
cana-6024	57	23	practice	practice	NOUN
cana-6024	57	24	.	.	PUNCT
cana-6024	58	1	qiu	qiu	PROPN
cana-6024	58	2	and	and	CCONJ
cana-6024	58	3	lau	lau	PROPN
cana-6024	59	1	[	[	X
cana-6024	59	2	25	25	NUM
cana-6024	59	3	]	]	PUNCT
cana-6024	59	4	devised	devise	VERB
cana-6024	59	5	a	a	DET
cana-6024	59	6	hybrid	hybrid	ADJ
cana-6024	59	7	deep	deep	ADJ
cana-6024	59	8	learning	learning	NOUN
cana-6024	59	9	technique	technique	NOUN
cana-6024	59	10	based	base	VERB
cana-6024	59	11	on	on	ADP
cana-6024	59	12	uav	uav	PROPN
cana-6024	59	13	images	image	NOUN
cana-6024	59	14	to	to	PART
cana-6024	59	15	evaluate	evaluate	VERB
cana-6024	59	16	the	the	DET
cana-6024	59	17	structural	structural	ADJ
cana-6024	59	18	defects	defect	NOUN
cana-6024	59	19	of	of	ADP
cana-6024	59	20	trees	tree	NOUN
cana-6024	59	21	and	and	CCONJ
cana-6024	59	22	communications	communication	NOUN
cana-6024	59	23	on	on	ADP
cana-6024	59	24	applied	apply	VERB
cana-6024	59	25	nonlinear	nonlinear	ADJ
cana-6024	59	26	analysis	analysis	NOUN
cana-6024	59	27	issn	issn	NOUN
cana-6024	59	28	:	:	PUNCT
cana-6024	59	29	1074	1074	NUM
cana-6024	59	30	-	-	PUNCT
cana-6024	59	31	133x	133x	NUM
cana-6024	59	32	vol	vol	NOUN
cana-6024	59	33	31	31	NUM
cana-6024	59	34	no	no	NOUN
cana-6024	59	35	.	.	PUNCT
cana-6024	60	1	8s	8s	PROPN
cana-6024	60	2	(	(	PUNCT
cana-6024	60	3	2024	2024	NUM
cana-6024	60	4	)	)	PUNCT
cana-6024	60	5	1142	1142	NUM
cana-6024	60	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-6024	60	7	proposed	propose	VERB
cana-6024	60	8	that	that	SCONJ
cana-6024	60	9	the	the	DET
cana-6024	60	10	same	same	ADJ
cana-6024	60	11	techniques	technique	NOUN
cana-6024	60	12	could	could	AUX
cana-6024	60	13	be	be	AUX
cana-6024	60	14	applied	apply	VERB
cana-6024	60	15	with	with	ADP
cana-6024	60	16	tall	tall	ADJ
cana-6024	60	17	or	or	CCONJ
cana-6024	60	18	remote	remote	ADJ
cana-6024	60	19	concrete	concrete	ADJ
cana-6024	60	20	buildings	building	NOUN
cana-6024	60	21	.	.	PUNCT
cana-6024	61	1	finally	finally	ADV
cana-6024	61	2	,	,	PUNCT
cana-6024	61	3	rakin	rakin	PROPN
cana-6024	61	4	et	et	PROPN
cana-6024	61	5	al	al	PROPN
cana-6024	61	6	.	.	PUNCT
cana-6024	62	1	[	[	X
cana-6024	62	2	26	26	NUM
cana-6024	62	3	]	]	PUNCT
cana-6024	62	4	developed	develop	VERB
cana-6024	62	5	the	the	DET
cana-6024	62	6	fault	fault	NOUN
cana-6024	62	7	diagnosis	diagnosis	NOUN
cana-6024	62	8	model	model	NOUN
cana-6024	62	9	base	base	NOUN
cana-6024	62	10	on	on	ADP
cana-6024	62	11	the	the	DET
cana-6024	62	12	yolov11	yolov11	NOUN
cana-6024	62	13	network	network	NOUN
cana-6024	62	14	that	that	PRON
cana-6024	62	15	is	be	AUX
cana-6024	62	16	tailored	tailor	VERB
cana-6024	62	17	to	to	ADP
cana-6024	62	18	particular	particular	ADJ
cana-6024	62	19	infrastructure	infrastructure	NOUN
cana-6024	62	20	faults	fault	NOUN
cana-6024	62	21	in	in	ADP
cana-6024	62	22	the	the	DET
cana-6024	62	23	urban	urban	ADJ
cana-6024	62	24	environment	environment	PROPN
cana-6024	62	25	.	.	PUNCT
cana-6024	63	1	the	the	DET
cana-6024	63	2	real	real	ADJ
cana-6024	63	3	-	-	PUNCT
cana-6024	63	4	time	time	NOUN
cana-6024	63	5	potential	potential	NOUN
cana-6024	63	6	of	of	ADP
cana-6024	63	7	their	their	PRON
cana-6024	63	8	system	system	NOUN
cana-6024	63	9	is	be	AUX
cana-6024	63	10	rather	rather	ADV
cana-6024	63	11	similar	similar	ADJ
cana-6024	63	12	to	to	ADP
cana-6024	63	13	the	the	DET
cana-6024	63	14	objectives	objective	NOUN
cana-6024	63	15	of	of	ADP
cana-6024	63	16	this	this	DET
cana-6024	63	17	study	study	NOUN
cana-6024	63	18	.	.	PUNCT
cana-6024	64	1	on	on	ADP
cana-6024	64	2	the	the	DET
cana-6024	64	3	whole	whole	NOUN
cana-6024	64	4	,	,	PUNCT
cana-6024	64	5	the	the	DET
cana-6024	64	6	literature	literature	NOUN
cana-6024	64	7	illustrates	illustrate	VERB
cana-6024	64	8	an	an	DET
cana-6024	64	9	increased	increase	VERB
cana-6024	64	10	convergence	convergence	NOUN
cana-6024	64	11	between	between	ADP
cana-6024	64	12	the	the	DET
cana-6024	64	13	electromagnetic	electromagnetic	ADJ
cana-6024	64	14	inspection	inspection	NOUN
cana-6024	64	15	technologies	technology	NOUN
cana-6024	64	16	and	and	CCONJ
cana-6024	64	17	deep	deep	ADJ
cana-6024	64	18	learning	learning	NOUN
cana-6024	64	19	models	model	NOUN
cana-6024	64	20	.	.	PUNCT
cana-6024	65	1	this	this	DET
cana-6024	65	2	paper	paper	NOUN
cana-6024	65	3	expounds	expound	VERB
cana-6024	65	4	on	on	ADP
cana-6024	65	5	these	these	DET
cana-6024	65	6	premises	premise	NOUN
cana-6024	65	7	as	as	SCONJ
cana-6024	65	8	the	the	DET
cana-6024	65	9	study	study	NOUN
cana-6024	65	10	combines	combine	VERB
cana-6024	65	11	em	em	PRON
cana-6024	65	12	imaging	image	VERB
cana-6024	65	13	with	with	ADP
cana-6024	65	14	optimized	optimize	VERB
cana-6024	65	15	neural	neural	ADJ
cana-6024	65	16	networks	network	NOUN
cana-6024	65	17	to	to	PART
cana-6024	65	18	make	make	VERB
cana-6024	65	19	crack	crack	NOUN
cana-6024	65	20	inspection	inspection	NOUN
cana-6024	65	21	in	in	ADP
cana-6024	65	22	concrete	concrete	ADJ
cana-6024	65	23	structures	structure	NOUN
cana-6024	65	24	a	a	DET
cana-6024	65	25	real	real	ADJ
cana-6024	65	26	-	-	PUNCT
cana-6024	65	27	time	time	NOUN
cana-6024	65	28	possibility	possibility	NOUN
cana-6024	65	29	.	.	PUNCT
cana-6024	66	1	iii	iii	X
cana-6024	66	2	.	.	PUNCT
cana-6024	66	3	methods	method	NOUN
cana-6024	66	4	and	and	CCONJ
cana-6024	66	5	materials	material	NOUN
cana-6024	66	6	1	1	NUM
cana-6024	66	7	.	.	PUNCT
cana-6024	66	8	materials	material	NOUN
cana-6024	66	9	and	and	CCONJ
cana-6024	66	10	methods	method	NOUN
cana-6024	66	11	this	this	DET
cana-6024	66	12	segment	segment	NOUN
cana-6024	66	13	represents	represent	VERB
cana-6024	66	14	dataset	dataset	ADJ
cana-6024	66	15	description	description	NOUN
cana-6024	66	16	,	,	PUNCT
cana-6024	66	17	data	datum	NOUN
cana-6024	66	18	cleaning	cleaning	NOUN
cana-6024	66	19	methods	method	NOUN
cana-6024	66	20	,	,	PUNCT
cana-6024	66	21	and	and	CCONJ
cana-6024	66	22	four	four	NUM
cana-6024	66	23	deep	deep	ADJ
cana-6024	66	24	learning	learning	NOUN
cana-6024	66	25	algorithms	algorithm	NOUN
cana-6024	66	26	to	to	PART
cana-6024	66	27	detect	detect	VERB
cana-6024	66	28	cracks	crack	NOUN
cana-6024	66	29	in	in	ADP
cana-6024	66	30	real	real	ADJ
cana-6024	66	31	time	time	NOUN
cana-6024	66	32	on	on	ADP
cana-6024	66	33	the	the	DET
cana-6024	66	34	basis	basis	NOUN
cana-6024	66	35	of	of	ADP
cana-6024	66	36	electromagnetic	electromagnetic	ADJ
cana-6024	66	37	(	(	PUNCT
cana-6024	66	38	em	em	NOUN
cana-6024	66	39	)	)	PUNCT
cana-6024	66	40	imaging	imaging	NOUN
cana-6024	66	41	data	datum	NOUN
cana-6024	66	42	.	.	PUNCT
cana-6024	67	1	to	to	PART
cana-6024	67	2	offer	offer	VERB
cana-6024	67	3	a	a	DET
cana-6024	67	4	reasonable	reasonable	ADJ
cana-6024	67	5	and	and	CCONJ
cana-6024	67	6	standard	standard	ADJ
cana-6024	67	7	comparison	comparison	NOUN
cana-6024	67	8	,	,	PUNCT
cana-6024	67	9	each	each	DET
cana-6024	67	10	algorithm	algorithm	NOUN
cana-6024	67	11	was	be	AUX
cana-6024	67	12	executed	execute	VERB
cana-6024	67	13	and	and	CCONJ
cana-6024	67	14	tested	test	VERB
cana-6024	67	15	against	against	ADP
cana-6024	67	16	the	the	DET
cana-6024	67	17	same	same	ADJ
cana-6024	67	18	data	datum	NOUN
cana-6024	67	19	set	set	VERB
cana-6024	67	20	.	.	PUNCT
cana-6024	68	1	the	the	DET
cana-6024	68	2	general	general	ADJ
cana-6024	68	3	methodology	methodology	NOUN
cana-6024	68	4	incorporates	incorporate	VERB
cana-6024	68	5	the	the	DET
cana-6024	68	6	acquisition	acquisition	NOUN
cana-6024	68	7	of	of	ADP
cana-6024	68	8	the	the	DET
cana-6024	68	9	data	datum	NOUN
cana-6024	68	10	,	,	PUNCT
cana-6024	68	11	preprocessing	preprocessing	NOUN
cana-6024	68	12	,	,	PUNCT
cana-6024	68	13	training	training	NOUN
cana-6024	68	14	of	of	ADP
cana-6024	68	15	the	the	DET
cana-6024	68	16	models	model	NOUN
cana-6024	68	17	,	,	PUNCT
cana-6024	68	18	evaluating	evaluate	VERB
cana-6024	68	19	the	the	DET
cana-6024	68	20	results	result	NOUN
cana-6024	68	21	and	and	CCONJ
cana-6024	68	22	analysing	analyse	VERB
cana-6024	68	23	the	the	DET
cana-6024	68	24	results	result	NOUN
cana-6024	68	25	.	.	PUNCT
cana-6024	69	1	1.1	1.1	NUM
cana-6024	69	2	data	datum	NOUN
cana-6024	69	3	collection	collection	NOUN
cana-6024	69	4	and	and	CCONJ
cana-6024	69	5	preprocessing	preprocesse	VERB
cana-6024	69	6	the	the	DET
cana-6024	69	7	data	datum	NOUN
cana-6024	69	8	was	be	AUX
cana-6024	69	9	produced	produce	VERB
cana-6024	69	10	by	by	ADP
cana-6024	69	11	synthetic	synthetic	ADJ
cana-6024	69	12	and	and	CCONJ
cana-6024	69	13	real	real	ADJ
cana-6024	69	14	electromagnetic	electromagnetic	ADJ
cana-6024	69	15	imaging	imaging	NOUN
cana-6024	69	16	scan	scan	NOUN
cana-6024	69	17	of	of	ADP
cana-6024	69	18	concrete	concrete	ADJ
cana-6024	69	19	slabs	slab	NOUN
cana-6024	69	20	with	with	ADP
cana-6024	69	21	artificially	artificially	ADV
cana-6024	69	22	generated	generate	VERB
cana-6024	69	23	cracks	crack	NOUN
cana-6024	69	24	of	of	ADP
cana-6024	69	25	depth	depth	NOUN
cana-6024	69	26	,	,	PUNCT
cana-6024	69	27	length	length	NOUN
cana-6024	69	28	and	and	CCONJ
cana-6024	69	29	orientation	orientation	NOUN
cana-6024	69	30	varied	varied	ADJ
cana-6024	69	31	.	.	PUNCT
cana-6024	70	1	each	each	DET
cana-6024	70	2	scan	scan	PROPN
cana-6024	70	3	possesses	possess	VERB
cana-6024	70	4	a	a	DET
cana-6024	70	5	2d	2d	NUM
cana-6024	70	6	gray	gray	ADJ
cana-6024	70	7	scale	scale	NOUN
cana-6024	70	8	(	(	PUNCT
cana-6024	70	9	plot	plot	NOUN
cana-6024	70	10	)	)	PUNCT
cana-6024	70	11	depiction	depiction	NOUN
cana-6024	70	12	on	on	ADP
cana-6024	70	13	the	the	DET
cana-6024	70	14	dielectric	dielectric	ADJ
cana-6024	70	15	normal	normal	ADJ
cana-6024	70	16	part	part	NOUN
cana-6024	70	17	possession	possession	NOUN
cana-6024	70	18	on	on	ADP
cana-6024	70	19	the	the	DET
cana-6024	70	20	material	material	NOUN
cana-6024	70	21	[	[	X
cana-6024	70	22	4	4	NUM
cana-6024	70	23	]	]	PUNCT
cana-6024	70	24	.	.	PUNCT
cana-6024	71	1	the	the	DET
cana-6024	71	2	5	5	NUM
cana-6024	71	3	000	000	NUM
cana-6024	71	4	images	image	NOUN
cana-6024	71	5	were	be	AUX
cana-6024	71	6	gathered	gather	VERB
cana-6024	71	7	3500	3500	NUM
cana-6024	71	8	intended	intend	VERB
cana-6024	71	9	for	for	ADP
cana-6024	71	10	training	training	NOUN
cana-6024	71	11	,	,	PUNCT
cana-6024	71	12	750	750	NUM
cana-6024	71	13	validation	validation	NOUN
cana-6024	71	14	and	and	CCONJ
cana-6024	71	15	750	750	NUM
cana-6024	71	16	testing	testing	NOUN
cana-6024	71	17	.	.	PUNCT
cana-6024	72	1	the	the	DET
cana-6024	72	2	following	follow	VERB
cana-6024	72	3	steps	step	NOUN
cana-6024	72	4	were	be	AUX
cana-6024	72	5	used	use	VERB
cana-6024	72	6	in	in	ADP
cana-6024	72	7	preprocessing	preprocesse	VERB
cana-6024	72	8	the	the	DET
cana-6024	72	9	data	datum	NOUN
cana-6024	72	10	:	:	PUNCT
cana-6024	72	11	●	●	PUNCT
cana-6024	72	12	normalization	normalization	NOUN
cana-6024	72	13	:	:	PUNCT
cana-6024	72	14	pixel	pixel	PROPN
cana-6024	72	15	values	value	NOUN
cana-6024	72	16	of	of	ADP
cana-6024	72	17	the	the	DET
cana-6024	72	18	image	image	NOUN
cana-6024	72	19	were	be	AUX
cana-6024	72	20	normalized	normalize	VERB
cana-6024	72	21	within	within	ADP
cana-6024	72	22	the	the	DET
cana-6024	72	23	range	range	NOUN
cana-6024	72	24	0	0	NUM
cana-6024	72	25	and	and	CCONJ
cana-6024	72	26	1	1	NUM
cana-6024	72	27	.	.	X
cana-6024	72	28	●	●	PUNCT
cana-6024	72	29	resizing	resizing	NOUN
cana-6024	72	30	:	:	PUNCT
cana-6024	72	31	all	all	DET
cana-6024	72	32	the	the	DET
cana-6024	72	33	images	image	NOUN
cana-6024	72	34	had	have	AUX
cana-6024	72	35	been	be	AUX
cana-6024	72	36	made	make	VERB
cana-6024	72	37	to	to	PART
cana-6024	72	38	take	take	VERB
cana-6024	72	39	128128	128128	NUM
cana-6024	72	40	pixels	pixel	NOUN
cana-6024	72	41	.	.	PUNCT
cana-6024	73	1	●	●	PUNCT
cana-6024	73	2	labeling	labeling	NOUN
cana-6024	73	3	:	:	PUNCT
cana-6024	73	4	every	every	DET
cana-6024	73	5	single	single	ADJ
cana-6024	73	6	image	image	NOUN
cana-6024	73	7	was	be	AUX
cana-6024	73	8	labeled	label	VERB
cana-6024	73	9	as	as	ADP
cana-6024	73	10	either	either	CCONJ
cana-6024	73	11	cracked	cracked	ADJ
cana-6024	73	12	or	or	CCONJ
cana-6024	73	13	non	non	ADJ
cana-6024	73	14	-	-	ADJ
cana-6024	73	15	cracked	cracked	ADJ
cana-6024	73	16	.	.	PUNCT
cana-6024	74	1	●	●	PUNCT
cana-6024	74	2	augmentation	augmentation	NOUN
cana-6024	74	3	:	:	PUNCT
cana-6024	74	4	in	in	ADP
cana-6024	74	5	order	order	NOUN
cana-6024	74	6	to	to	PART
cana-6024	74	7	make	make	VERB
cana-6024	74	8	the	the	DET
cana-6024	74	9	same	same	ADJ
cana-6024	74	10	robust	robust	NOUN
cana-6024	74	11	we	we	PRON
cana-6024	74	12	used	use	VERB
cana-6024	74	13	effects	effect	NOUN
cana-6024	74	14	of	of	ADP
cana-6024	74	15	horizontal	horizontal	ADJ
cana-6024	74	16	flipping	flipping	NOUN
cana-6024	74	17	,	,	PUNCT
cana-6024	74	18	rotation	rotation	NOUN
cana-6024	74	19	(	(	PUNCT
cana-6024	74	20	45	45	NUM
cana-6024	74	21	degrees	degree	NOUN
cana-6024	74	22	plus	plus	CCONJ
cana-6024	74	23	or	or	CCONJ
cana-6024	74	24	minus	minus	NUM
cana-6024	74	25	)	)	PUNCT
cana-6024	74	26	,	,	PUNCT
cana-6024	74	27	zoom	zoom	NOUN
cana-6024	74	28	-	-	PUNCT
cana-6024	74	29	in	in	NOUN
cana-6024	74	30	.	.	PUNCT
cana-6024	75	1	1.2	1.2	NUM
cana-6024	75	2	selected	select	VERB
cana-6024	75	3	deep	deep	ADJ
cana-6024	75	4	learning	learning	NOUN
cana-6024	75	5	algorithms	algorithm	NOUN
cana-6024	75	6	to	to	PART
cana-6024	75	7	compare	compare	VERB
cana-6024	75	8	four	four	NUM
cana-6024	75	9	deep	deep	ADJ
cana-6024	75	10	learning	learning	NOUN
cana-6024	75	11	algorithms	algorithm	NOUN
cana-6024	75	12	,	,	PUNCT
cana-6024	75	13	convolutional	convolutional	ADJ
cana-6024	75	14	neural	neural	ADJ
cana-6024	75	15	network	network	NOUN
cana-6024	75	16	(	(	PUNCT
cana-6024	75	17	cnn	cnn	PROPN
cana-6024	75	18	)	)	PUNCT
cana-6024	75	19	,	,	PUNCT
cana-6024	75	20	residual	residual	ADJ
cana-6024	75	21	neural	neural	ADJ
cana-6024	75	22	network	network	NOUN
cana-6024	75	23	(	(	PUNCT
cana-6024	75	24	resnet-50	resnet-50	NUM
cana-6024	75	25	)	)	PUNCT
cana-6024	75	26	,	,	PUNCT
cana-6024	75	27	u	u	NOUN
cana-6024	75	28	-	-	NOUN
cana-6024	75	29	net	net	ADJ
cana-6024	75	30	,	,	PUNCT
cana-6024	75	31	and	and	CCONJ
cana-6024	75	32	mobilenetv2	mobilenetv2	PROPN
cana-6024	75	33	have	have	AUX
cana-6024	75	34	been	be	AUX
cana-6024	75	35	selected	select	VERB
cana-6024	75	36	.	.	PUNCT
cana-6024	76	1	these	these	DET
cana-6024	76	2	models	model	NOUN
cana-6024	76	3	have	have	AUX
cana-6024	76	4	been	be	AUX
cana-6024	76	5	selected	select	VERB
cana-6024	76	6	as	as	ADP
cana-6024	76	7	being	be	AUX
cana-6024	76	8	most	most	ADV
cana-6024	76	9	appropriate	appropriate	ADJ
cana-6024	76	10	to	to	PART
cana-6024	76	11	image	image	VERB
cana-6024	76	12	classification	classification	NOUN
cana-6024	76	13	and	and	CCONJ
cana-6024	76	14	segmentation	segmentation	NOUN
cana-6024	76	15	.	.	PUNCT
cana-6024	77	1	1.2.1	1.2.1	NUM
cana-6024	77	2	convolutional	convolutional	ADJ
cana-6024	77	3	neural	neural	ADJ
cana-6024	77	4	network	network	NOUN
cana-6024	77	5	(	(	PUNCT
cana-6024	77	6	cnn	cnn	PROPN
cana-6024	77	7	)	)	PUNCT
cana-6024	77	8	a	a	DET
cana-6024	77	9	cnn	cnn	PROPN
cana-6024	77	10	is	be	AUX
cana-6024	77	11	a	a	DET
cana-6024	77	12	deep	deep	ADJ
cana-6024	77	13	learning	learning	NOUN
cana-6024	77	14	network	network	NOUN
cana-6024	77	15	that	that	PRON
cana-6024	77	16	has	have	AUX
cana-6024	77	17	found	find	VERB
cana-6024	77	18	particular	particular	ADJ
cana-6024	77	19	efficiency	efficiency	NOUN
cana-6024	77	20	at	at	ADP
cana-6024	77	21	image	image	NOUN
cana-6024	77	22	-	-	PUNCT
cana-6024	77	23	related	relate	VERB
cana-6024	77	24	tasks	task	NOUN
cana-6024	77	25	.	.	PUNCT
cana-6024	78	1	it	it	PRON
cana-6024	78	2	works	work	VERB
cana-6024	78	3	by	by	ADP
cana-6024	78	4	implementing	implement	VERB
cana-6024	78	5	convolutional	convolutional	ADJ
cana-6024	78	6	filters	filter	NOUN
cana-6024	78	7	to	to	PART
cana-6024	78	8	detect	detect	VERB
cana-6024	78	9	local	local	ADJ
cana-6024	78	10	features	feature	NOUN
cana-6024	78	11	which	which	PRON
cana-6024	78	12	include	include	VERB
cana-6024	78	13	edges	edge	NOUN
cana-6024	78	14	,	,	PUNCT
cana-6024	78	15	lines	line	NOUN
cana-6024	78	16	and	and	CCONJ
cana-6024	78	17	textures	texture	NOUN
cana-6024	78	18	.	.	PUNCT
cana-6024	79	1	in	in	ADP
cana-6024	79	2	our	our	PRON
cana-6024	79	3	paper	paper	NOUN
cana-6024	79	4	,	,	PUNCT
cana-6024	79	5	we	we	PRON
cana-6024	79	6	have	have	AUX
cana-6024	79	7	adopted	adopt	VERB
cana-6024	79	8	a	a	DET
cana-6024	79	9	pre	pre	ADJ
cana-6024	79	10	-	-	ADJ
cana-6024	79	11	configured	configured	ADJ
cana-6024	79	12	cnn	cnn	PROPN
cana-6024	79	13	consisting	consist	VERB
cana-6024	79	14	of	of	ADP
cana-6024	79	15	three	three	NUM
cana-6024	79	16	layers	layer	NOUN
cana-6024	79	17	,	,	PUNCT
cana-6024	79	18	each	each	DET
cana-6024	79	19	conv	conv	ADJ
cana-6024	79	20	layer	layer	NOUN
cana-6024	79	21	,	,	PUNCT
cana-6024	79	22	relu	relu	NOUN
cana-6024	79	23	,	,	PUNCT
cana-6024	79	24	and	and	CCONJ
cana-6024	79	25	max	max	PROPN
cana-6024	79	26	pooling	pooling	NOUN
cana-6024	79	27	.	.	PUNCT
cana-6024	80	1	the	the	DET
cana-6024	80	2	network	network	NOUN
cana-6024	80	3	is	be	AUX
cana-6024	80	4	terminated	terminate	VERB
cana-6024	80	5	at	at	ADP
cana-6024	80	6	two	two	NUM
cana-6024	80	7	fully	fully	ADV
cana-6024	80	8	connected	connected	ADJ
cana-6024	80	9	layers	layer	NOUN
cana-6024	80	10	and	and	CCONJ
cana-6024	80	11	softmax	softmax	NOUN
cana-6024	80	12	classifier	classifier	NOUN
cana-6024	80	13	[	[	X
cana-6024	80	14	5	5	NUM
cana-6024	80	15	]	]	PUNCT
cana-6024	80	16	.	.	PUNCT
cana-6024	81	1	communications	communication	NOUN
cana-6024	81	2	on	on	ADP
cana-6024	81	3	applied	apply	VERB
cana-6024	81	4	nonlinear	nonlinear	ADJ
cana-6024	81	5	analysis	analysis	NOUN
cana-6024	81	6	issn	issn	NOUN
cana-6024	81	7	:	:	PUNCT
cana-6024	81	8	1074	1074	NUM
cana-6024	81	9	-	-	PUNCT
cana-6024	81	10	133x	133x	NUM
cana-6024	81	11	vol	vol	NOUN
cana-6024	81	12	31	31	NUM
cana-6024	81	13	no	no	NOUN
cana-6024	81	14	.	.	PUNCT
cana-6024	82	1	8s	8s	PROPN
cana-6024	82	2	(	(	PUNCT
cana-6024	82	3	2024	2024	NUM
cana-6024	82	4	)	)	PUNCT
cana-6024	82	5	1143	1143	NUM
cana-6024	82	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	82	7	cnns	cnn	NOUN
cana-6024	82	8	are	be	AUX
cana-6024	82	9	useful	useful	ADJ
cana-6024	82	10	to	to	ADP
cana-6024	82	11	binary	binary	ADJ
cana-6024	82	12	classification	classification	NOUN
cana-6024	82	13	tasks	task	NOUN
cana-6024	82	14	and	and	CCONJ
cana-6024	82	15	have	have	VERB
cana-6024	82	16	few	few	ADJ
cana-6024	82	17	parameters	parameter	NOUN
cana-6024	82	18	as	as	SCONJ
cana-6024	82	19	opposed	oppose	VERB
cana-6024	82	20	to	to	ADP
cana-6024	82	21	fully	fully	ADV
cana-6024	82	22	connected	connect	VERB
cana-6024	82	23	networks	network	NOUN
cana-6024	82	24	that	that	PRON
cana-6024	82	25	are	be	AUX
cana-6024	82	26	slower	slow	ADJ
cana-6024	82	27	to	to	PART
cana-6024	82	28	train	train	VERB
cana-6024	82	29	.	.	PUNCT
cana-6024	83	1	nevertheless	nevertheless	ADV
cana-6024	83	2	,	,	PUNCT
cana-6024	83	3	they	they	PRON
cana-6024	83	4	can	can	AUX
cana-6024	83	5	be	be	AUX
cana-6024	83	6	difficult	difficult	ADJ
cana-6024	83	7	to	to	PART
cana-6024	83	8	learn	learn	VERB
cana-6024	83	9	longrange	longrange	NOUN
cana-6024	83	10	dependencies	dependency	NOUN
cana-6024	83	11	or	or	CCONJ
cana-6024	83	12	minute	minute	VERB
cana-6024	83	13	patterns	pattern	NOUN
cana-6024	83	14	unless	unless	SCONJ
cana-6024	83	15	they	they	PRON
cana-6024	83	16	have	have	VERB
cana-6024	83	17	more	more	ADJ
cana-6024	83	18	architecture	architecture	NOUN
cana-6024	83	19	or	or	CCONJ
cana-6024	83	20	an	an	DET
cana-6024	83	21	ability	ability	NOUN
cana-6024	83	22	to	to	PART
cana-6024	83	23	make	make	VERB
cana-6024	83	24	residual	residual	ADJ
cana-6024	83	25	connections	connection	NOUN
cana-6024	83	26	[	[	X
cana-6024	83	27	6	6	NUM
cana-6024	83	28	]	]	PUNCT
cana-6024	83	29	.	.	PUNCT
cana-6024	84	1	“	"	PUNCT
cana-6024	84	2	initialize	initialize	VERB
cana-6024	84	3	weights	weight	NOUN
cana-6024	84	4	and	and	CCONJ
cana-6024	84	5	biases	bias	NOUN
cana-6024	84	6	for	for	ADP
cana-6024	84	7	each	each	DET
cana-6024	84	8	training	training	NOUN
cana-6024	84	9	epoch	epoch	NOUN
cana-6024	84	10	:	:	PUNCT
cana-6024	84	11	for	for	ADP
cana-6024	84	12	each	each	DET
cana-6024	84	13	input	input	NOUN
cana-6024	84	14	image	image	NOUN
cana-6024	84	15	:	:	PUNCT
cana-6024	84	16	apply	apply	VERB
cana-6024	84	17	convolutional	convolutional	ADJ
cana-6024	84	18	layer	layer	NOUN
cana-6024	84	19	+	+	CCONJ
cana-6024	84	20	relu	relu	NOUN
cana-6024	84	21	apply	apply	VERB
cana-6024	84	22	max	max	PROPN
cana-6024	84	23	pooling	pooling	NOUN
cana-6024	84	24	flatten	flatten	VERB
cana-6024	84	25	the	the	DET
cana-6024	84	26	output	output	NOUN
cana-6024	84	27	apply	apply	VERB
cana-6024	84	28	dense	dense	ADJ
cana-6024	84	29	layers	layer	NOUN
cana-6024	84	30	compute	compute	VERB
cana-6024	84	31	loss	loss	NOUN
cana-6024	84	32	using	use	VERB
cana-6024	84	33	cross	cross	ADJ
cana-6024	84	34	-	-	ADJ
cana-6024	84	35	entropy	entropy	ADJ
cana-6024	84	36	backpropagate	backpropagate	NOUN
cana-6024	84	37	errors	error	NOUN
cana-6024	84	38	and	and	CCONJ
cana-6024	84	39	update	update	VERB
cana-6024	84	40	weights	weight	NOUN
cana-6024	84	41	return	return	VERB
cana-6024	84	42	trained	train	VERB
cana-6024	84	43	model	model	NOUN
cana-6024	84	44	”	"	PUNCT
cana-6024	84	45	1.2.2	1.2.2	NUM
cana-6024	84	46	residual	residual	ADJ
cana-6024	84	47	neural	neural	ADJ
cana-6024	84	48	network	network	NOUN
cana-6024	84	49	(	(	PUNCT
cana-6024	84	50	resnet-50	resnet-50	NOUN
cana-6024	84	51	)	)	PUNCT
cana-6024	84	52	resnet-50	resnet-50	PROPN
cana-6024	84	53	is	be	AUX
cana-6024	84	54	a	a	DET
cana-6024	84	55	50	50	NUM
cana-6024	84	56	-	-	PUNCT
cana-6024	84	57	layer	layer	NOUN
cana-6024	84	58	deep	deep	ADJ
cana-6024	84	59	convolutional	convolutional	ADJ
cana-6024	84	60	neural	neural	ADJ
cana-6024	84	61	network	network	NOUN
cana-6024	84	62	,	,	PUNCT
cana-6024	84	63	which	which	PRON
cana-6024	84	64	was	be	AUX
cana-6024	84	65	able	able	ADJ
cana-6024	84	66	to	to	PART
cana-6024	84	67	overcome	overcome	VERB
cana-6024	84	68	the	the	DET
cana-6024	84	69	vanishing	vanish	VERB
cana-6024	84	70	gradient	gradient	ADJ
cana-6024	84	71	problem	problem	NOUN
cana-6024	84	72	with	with	ADP
cana-6024	84	73	the	the	DET
cana-6024	84	74	help	help	NOUN
cana-6024	84	75	of	of	ADP
cana-6024	84	76	a	a	DET
cana-6024	84	77	residual	residual	ADJ
cana-6024	84	78	learning	learning	NOUN
cana-6024	84	79	strategy	strategy	NOUN
cana-6024	84	80	.	.	PUNCT
cana-6024	85	1	rather	rather	ADV
cana-6024	85	2	than	than	ADP
cana-6024	85	3	the	the	DET
cana-6024	85	4	whole	whole	ADJ
cana-6024	85	5	output	output	NOUN
cana-6024	85	6	,	,	PUNCT
cana-6024	85	7	it	it	PRON
cana-6024	85	8	learns	learn	VERB
cana-6024	85	9	the	the	DET
cana-6024	85	10	discrepancy	discrepancy	NOUN
cana-6024	85	11	between	between	ADP
cana-6024	85	12	the	the	DET
cana-6024	85	13	input	input	NOUN
cana-6024	85	14	and	and	CCONJ
cana-6024	85	15	output	output	NOUN
cana-6024	85	16	(	(	PUNCT
cana-6024	85	17	residual	residual	ADJ
cana-6024	85	18	)	)	PUNCT
cana-6024	85	19	,	,	PUNCT
cana-6024	85	20	which	which	PRON
cana-6024	85	21	allows	allow	VERB
cana-6024	85	22	training	training	NOUN
cana-6024	85	23	extremely	extremely	ADV
cana-6024	85	24	deep	deep	ADJ
cana-6024	85	25	networks	network	NOUN
cana-6024	85	26	more	more	ADV
cana-6024	85	27	easily	easily	ADV
cana-6024	85	28	.	.	PUNCT
cana-6024	86	1	this	this	DET
cana-6024	86	2	architecture	architecture	NOUN
cana-6024	86	3	has	have	VERB
cana-6024	86	4	identity	identity	NOUN
cana-6024	86	5	short	short	ADJ
cana-6024	86	6	cut	cut	NOUN
cana-6024	86	7	connections	connection	NOUN
cana-6024	86	8	that	that	SCONJ
cana-6024	86	9	by	by	ADP
cana-6024	86	10	pass	pass	NOUN
cana-6024	86	11	one	one	NUM
cana-6024	86	12	or	or	CCONJ
cana-6024	86	13	more	more	ADJ
cana-6024	86	14	layers	layer	NOUN
cana-6024	86	15	[	[	X
cana-6024	86	16	7	7	NUM
cana-6024	86	17	]	]	X
cana-6024	86	18	.	.	PUNCT
cana-6024	87	1	resnet-50	resnet-50	PROPN
cana-6024	87	2	in	in	ADP
cana-6024	87	3	our	our	PRON
cana-6024	87	4	implementation	implementation	NOUN
cana-6024	87	5	had	have	AUX
cana-6024	87	6	been	be	AUX
cana-6024	87	7	pretrained	pretraine	VERB
cana-6024	87	8	on	on	ADP
cana-6024	87	9	imagenet	imagenet	NOUN
cana-6024	87	10	and	and	CCONJ
cana-6024	87	11	fine	fine	ADJ
cana-6024	87	12	tuned	tune	VERB
cana-6024	87	13	on	on	ADP
cana-6024	87	14	the	the	DET
cana-6024	87	15	em	em	PROPN
cana-6024	87	16	imaging	imaging	NOUN
cana-6024	87	17	dataset	dataset	NOUN
cana-6024	87	18	.	.	PUNCT
cana-6024	88	1	it	it	PRON
cana-6024	88	2	performed	perform	VERB
cana-6024	88	3	well	well	ADV
cana-6024	88	4	in	in	ADP
cana-6024	88	5	capturing	capture	VERB
cana-6024	88	6	intricacy	intricacy	ADJ
cana-6024	88	7	features	feature	NOUN
cana-6024	88	8	concerning	concern	VERB
cana-6024	88	9	internal	internal	ADJ
cana-6024	88	10	crack	crack	NOUN
cana-6024	88	11	patterns	pattern	NOUN
cana-6024	88	12	and	and	CCONJ
cana-6024	88	13	more	more	ADV
cana-6024	88	14	precise	precise	ADJ
cana-6024	88	15	compared	compare	VERB
cana-6024	88	16	to	to	ADP
cana-6024	88	17	shallow	shallow	ADJ
cana-6024	88	18	networks	network	NOUN
cana-6024	88	19	.	.	PUNCT
cana-6024	89	1	“	"	PUNCT
cana-6024	89	2	input	input	NOUN
cana-6024	89	3	image	image	NOUN
cana-6024	89	4	for	for	ADP
cana-6024	89	5	each	each	DET
cana-6024	89	6	resnet	resnet	NOUN
cana-6024	89	7	block	block	NOUN
cana-6024	89	8	:	:	PUNCT
cana-6024	89	9	apply	apply	VERB
cana-6024	89	10	convolutional	convolutional	ADJ
cana-6024	89	11	layers	layer	NOUN
cana-6024	89	12	add	add	VERB
cana-6024	89	13	shortcut	shortcut	NOUN
cana-6024	89	14	connection	connection	NOUN
cana-6024	89	15	apply	apply	VERB
cana-6024	89	16	batch	batch	NOUN
cana-6024	89	17	normalization	normalization	NOUN
cana-6024	89	18	and	and	CCONJ
cana-6024	89	19	communications	communication	NOUN
cana-6024	89	20	on	on	ADP
cana-6024	89	21	applied	apply	VERB
cana-6024	89	22	nonlinear	nonlinear	ADJ
cana-6024	89	23	analysis	analysis	NOUN
cana-6024	89	24	issn	issn	NOUN
cana-6024	89	25	:	:	PUNCT
cana-6024	89	26	1074	1074	NUM
cana-6024	89	27	-	-	PUNCT
cana-6024	89	28	133x	133x	NUM
cana-6024	89	29	vol	vol	NOUN
cana-6024	89	30	31	31	NUM
cana-6024	89	31	no	no	NOUN
cana-6024	89	32	.	.	PUNCT
cana-6024	90	1	8s	8s	PROPN
cana-6024	90	2	(	(	PUNCT
cana-6024	90	3	2024	2024	NUM
cana-6024	90	4	)	)	PUNCT
cana-6024	90	5	1144	1144	NUM
cana-6024	90	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	90	7	relu	relu	NOUN
cana-6024	90	8	flatten	flatten	VERB
cana-6024	90	9	and	and	CCONJ
cana-6024	90	10	pass	pass	VERB
cana-6024	90	11	through	through	ADP
cana-6024	90	12	fully	fully	ADV
cana-6024	90	13	connected	connect	VERB
cana-6024	90	14	layers	layer	NOUN
cana-6024	90	15	output	output	VERB
cana-6024	90	16	classification	classification	NOUN
cana-6024	90	17	result	result	NOUN
cana-6024	90	18	”	"	PUNCT
cana-6024	90	19	1.2.3	1.2.3	NUM
cana-6024	90	20	u	u	NOUN
cana-6024	90	21	-	-	ADJ
cana-6024	90	22	net	net	ADJ
cana-6024	90	23	u	u	NOUN
cana-6024	90	24	-	-	NOUN
cana-6024	90	25	net	net	ADJ
cana-6024	90	26	is	be	AUX
cana-6024	90	27	a	a	DET
cana-6024	90	28	convnet	convnet	NOUN
cana-6024	90	29	,	,	PUNCT
cana-6024	90	30	developed	develop	VERB
cana-6024	90	31	to	to	PART
cana-6024	90	32	perform	perform	VERB
cana-6024	90	33	semantic	semantic	ADJ
cana-6024	90	34	segmentation	segmentation	NOUN
cana-6024	90	35	.	.	PUNCT
cana-6024	91	1	it	it	PRON
cana-6024	91	2	is	be	AUX
cana-6024	91	3	composed	compose	VERB
cana-6024	91	4	by	by	ADP
cana-6024	91	5	a	a	DET
cana-6024	91	6	contracting	contracting	NOUN
cana-6024	91	7	path	path	NOUN
cana-6024	91	8	(	(	PUNCT
cana-6024	91	9	encoder	encoder	NOUN
cana-6024	91	10	)	)	PUNCT
cana-6024	91	11	and	and	CCONJ
cana-6024	91	12	an	an	DET
cana-6024	91	13	expansive	expansive	ADJ
cana-6024	91	14	path	path	NOUN
cana-6024	91	15	(	(	PUNCT
cana-6024	91	16	decoder	decoder	NOUN
cana-6024	91	17	)	)	PUNCT
cana-6024	91	18	.	.	PUNCT
cana-6024	92	1	this	this	DET
cana-6024	92	2	model	model	NOUN
cana-6024	92	3	especially	especially	ADV
cana-6024	92	4	applies	apply	VERB
cana-6024	92	5	to	to	ADP
cana-6024	92	6	localization	localization	NOUN
cana-6024	92	7	of	of	ADP
cana-6024	92	8	cracks	crack	NOUN
cana-6024	92	9	in	in	ADP
cana-6024	92	10	an	an	DET
cana-6024	92	11	image	image	NOUN
cana-6024	92	12	as	as	ADP
cana-6024	92	13	the	the	DET
cana-6024	92	14	skip	skip	ADJ
cana-6024	92	15	connection	connection	NOUN
cana-6024	92	16	acts	act	VERB
cana-6024	92	17	by	by	ADP
cana-6024	92	18	maintaining	maintain	VERB
cana-6024	92	19	the	the	DET
cana-6024	92	20	spatial	spatial	ADJ
cana-6024	92	21	resolution	resolution	NOUN
cana-6024	92	22	[	[	X
cana-6024	92	23	8	8	NUM
cana-6024	92	24	]	]	PUNCT
cana-6024	92	25	.	.	PUNCT
cana-6024	93	1	u	u	NOUN
cana-6024	93	2	-	-	NOUN
cana-6024	93	3	net	net	NOUN
cana-6024	93	4	used	use	VERB
cana-6024	93	5	in	in	ADP
cana-6024	93	6	this	this	DET
cana-6024	93	7	research	research	NOUN
cana-6024	93	8	work	work	NOUN
cana-6024	93	9	was	be	AUX
cana-6024	93	10	trained	train	VERB
cana-6024	93	11	to	to	PART
cana-6024	93	12	produce	produce	VERB
cana-6024	93	13	the	the	DET
cana-6024	93	14	map	map	NOUN
cana-6024	93	15	of	of	ADP
cana-6024	93	16	crack	crack	NOUN
cana-6024	93	17	regions	region	NOUN
cana-6024	93	18	pixel	pixel	ADJ
cana-6024	93	19	-	-	ADJ
cana-6024	93	20	wise	wise	ADJ
cana-6024	93	21	.	.	PUNCT
cana-6024	94	1	during	during	ADP
cana-6024	94	2	structural	structural	ADJ
cana-6024	94	3	health	health	NOUN
cana-6024	94	4	diagnostics	diagnostic	NOUN
cana-6024	94	5	,	,	PUNCT
cana-6024	94	6	it	it	PRON
cana-6024	94	7	assisted	assist	VERB
cana-6024	94	8	in	in	ADP
cana-6024	94	9	imaging	imaging	NOUN
cana-6024	94	10	where	where	SCONJ
cana-6024	94	11	the	the	DET
cana-6024	94	12	exact	exact	ADJ
cana-6024	94	13	defects	defect	NOUN
cana-6024	94	14	are	be	AUX
cana-6024	94	15	which	which	PRON
cana-6024	94	16	is	be	AUX
cana-6024	94	17	essential	essential	ADJ
cana-6024	94	18	in	in	ADP
cana-6024	94	19	diagnosis	diagnosis	NOUN
cana-6024	94	20	.	.	PUNCT
cana-6024	95	1	“	"	PUNCT
cana-6024	95	2	input	input	ADJ
cana-6024	95	3	image	image	NOUN
cana-6024	95	4	encoder	encoder	NOUN
cana-6024	95	5	:	:	PUNCT
cana-6024	95	6	apply	apply	VERB
cana-6024	95	7	conv	conv	NOUN
cana-6024	95	8	+	+	CCONJ
cana-6024	95	9	relu	relu	NOUN
cana-6024	95	10	+	+	CCONJ
cana-6024	95	11	maxpool	maxpool	NOUN
cana-6024	95	12	(	(	PUNCT
cana-6024	95	13	downsampling	downsample	VERB
cana-6024	95	14	)	)	PUNCT
cana-6024	95	15	decoder	decoder	NOUN
cana-6024	95	16	:	:	PUNCT
cana-6024	95	17	upsample	upsample	PROPN
cana-6024	95	18	concatenate	concatenate	NOUN
cana-6024	95	19	with	with	ADP
cana-6024	95	20	corresponding	correspond	VERB
cana-6024	95	21	encoder	encoder	NOUN
cana-6024	95	22	features	feature	NOUN
cana-6024	95	23	(	(	PUNCT
cana-6024	95	24	skip	skip	ADJ
cana-6024	95	25	connections	connection	NOUN
cana-6024	95	26	)	)	PUNCT
cana-6024	95	27	apply	apply	VERB
cana-6024	95	28	conv	conv	NOUN
cana-6024	95	29	+	+	CCONJ
cana-6024	95	30	relu	relu	NOUN
cana-6024	95	31	final	final	ADJ
cana-6024	95	32	layer	layer	NOUN
cana-6024	95	33	:	:	PUNCT
cana-6024	95	34	apply	apply	VERB
cana-6024	95	35	1×1	1×1	NUM
cana-6024	95	36	conv	conv	NOUN
cana-6024	95	37	to	to	PART
cana-6024	95	38	produce	produce	VERB
cana-6024	95	39	segmentation	segmentation	NOUN
cana-6024	95	40	map	map	NOUN
cana-6024	95	41	return	return	VERB
cana-6024	95	42	pixel	pixel	ADJ
cana-6024	95	43	-	-	ADJ
cana-6024	95	44	wise	wise	ADJ
cana-6024	95	45	classification	classification	NOUN
cana-6024	95	46	”	"	PUNCT
cana-6024	95	47	1.2.4	1.2.4	NUM
cana-6024	95	48	mobilenetv2	mobilenetv2	NOUN
cana-6024	95	49	mobilenetv2	mobilenetv2	PROPN
cana-6024	95	50	is	be	AUX
cana-6024	95	51	an	an	DET
cana-6024	95	52	efficient	efficient	ADJ
cana-6024	95	53	architecture	architecture	NOUN
cana-6024	95	54	that	that	PRON
cana-6024	95	55	is	be	AUX
cana-6024	95	56	narrow	narrow	ADJ
cana-6024	95	57	and	and	CCONJ
cana-6024	95	58	needs	need	VERB
cana-6024	95	59	to	to	PART
cana-6024	95	60	perform	perform	VERB
cana-6024	95	61	mobile	mobile	ADJ
cana-6024	95	62	and	and	CCONJ
cana-6024	95	63	realtime	realtime	NOUN
cana-6024	95	64	applications	application	NOUN
cana-6024	95	65	.	.	PUNCT
cana-6024	96	1	it	it	PRON
cana-6024	96	2	employs	employ	VERB
cana-6024	96	3	depthwise	depthwise	NOUN
cana-6024	96	4	separable	separable	ADJ
cana-6024	96	5	convolutions	convolution	NOUN
cana-6024	96	6	and	and	CCONJ
cana-6024	96	7	inverted	invert	VERB
cana-6024	96	8	residual	residual	ADJ
cana-6024	96	9	blocks	block	NOUN
cana-6024	96	10	to	to	PART
cana-6024	96	11	keep	keep	VERB
cana-6024	96	12	accuracy	accuracy	NOUN
cana-6024	96	13	,	,	PUNCT
cana-6024	96	14	but	but	CCONJ
cana-6024	96	15	at	at	ADP
cana-6024	96	16	a	a	DET
cana-6024	96	17	heavily	heavily	ADV
cana-6024	96	18	reduced	reduce	VERB
cana-6024	96	19	computational	computational	ADJ
cana-6024	96	20	cost	cost	NOUN
cana-6024	96	21	.	.	PUNCT
cana-6024	97	1	this	this	PRON
cana-6024	97	2	also	also	ADV
cana-6024	97	3	qualifies	qualify	VERB
cana-6024	97	4	it	it	PRON
cana-6024	97	5	to	to	PART
cana-6024	97	6	be	be	AUX
cana-6024	97	7	well	well	ADV
cana-6024	97	8	deployed	deploy	VERB
cana-6024	97	9	on	on	ADP
cana-6024	97	10	-	-	PUNCT
cana-6024	97	11	site	site	NOUN
cana-6024	97	12	and	and	CCONJ
cana-6024	97	13	where	where	SCONJ
cana-6024	97	14	hardware	hardware	NOUN
cana-6024	97	15	resources	resource	NOUN
cana-6024	97	16	are	be	AUX
cana-6024	97	17	scarce	scarce	ADJ
cana-6024	97	18	[	[	X
cana-6024	97	19	9	9	NUM
cana-6024	97	20	]	]	PUNCT
cana-6024	97	21	.	.	PUNCT
cana-6024	98	1	communications	communication	NOUN
cana-6024	98	2	on	on	ADP
cana-6024	98	3	applied	apply	VERB
cana-6024	98	4	nonlinear	nonlinear	ADJ
cana-6024	98	5	analysis	analysis	NOUN
cana-6024	98	6	issn	issn	NOUN
cana-6024	98	7	:	:	PUNCT
cana-6024	98	8	1074	1074	NUM
cana-6024	98	9	-	-	PUNCT
cana-6024	98	10	133x	133x	NUM
cana-6024	98	11	vol	vol	NOUN
cana-6024	98	12	31	31	NUM
cana-6024	98	13	no	no	NOUN
cana-6024	98	14	.	.	PUNCT
cana-6024	99	1	8s	8s	PROPN
cana-6024	99	2	(	(	PUNCT
cana-6024	99	3	2024	2024	NUM
cana-6024	99	4	)	)	PUNCT
cana-6024	99	5	1145	1145	NUM
cana-6024	99	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	100	1	we	we	PRON
cana-6024	100	2	applied	apply	VERB
cana-6024	100	3	the	the	DET
cana-6024	100	4	mobilenetv2	mobilenetv2	NOUN
cana-6024	100	5	pretrained	pretraine	VERB
cana-6024	100	6	model	model	NOUN
cana-6024	100	7	on	on	ADP
cana-6024	100	8	the	the	DET
cana-6024	100	9	imagenet	imagenet	NOUN
cana-6024	100	10	and	and	CCONJ
cana-6024	100	11	fine	fine	ADV
cana-6024	100	12	-	-	PUNCT
cana-6024	100	13	tuned	tune	VERB
cana-6024	100	14	to	to	ADP
cana-6024	100	15	the	the	DET
cana-6024	100	16	binary	binary	ADJ
cana-6024	100	17	classification	classification	NOUN
cana-6024	100	18	.	.	PUNCT
cana-6024	101	1	it	it	PRON
cana-6024	101	2	detected	detect	VERB
cana-6024	101	3	cracks	crack	NOUN
cana-6024	101	4	with	with	ADP
cana-6024	101	5	close	close	ADJ
cana-6024	101	6	to	to	ADP
cana-6024	101	7	real	real	ADJ
cana-6024	101	8	time	time	NOUN
cana-6024	101	9	accuracy	accuracy	NOUN
cana-6024	101	10	and	and	CCONJ
cana-6024	101	11	competitive	competitive	ADJ
cana-6024	101	12	accuracy	accuracy	NOUN
cana-6024	101	13	.	.	PUNCT
cana-6024	102	1	“	"	PUNCT
cana-6024	102	2	input	input	NOUN
cana-6024	102	3	image	image	NOUN
cana-6024	102	4	apply	apply	VERB
cana-6024	102	5	depthwise	depthwise	NOUN
cana-6024	102	6	separable	separable	ADJ
cana-6024	102	7	convolution	convolution	NOUN
cana-6024	102	8	blocks	block	NOUN
cana-6024	102	9	use	use	VERB
cana-6024	102	10	inverted	inverted	ADJ
cana-6024	102	11	residuals	residual	NOUN
cana-6024	102	12	with	with	ADP
cana-6024	102	13	linear	linear	ADJ
cana-6024	102	14	bottlenecks	bottleneck	NOUN
cana-6024	102	15	global	global	ADJ
cana-6024	102	16	average	average	ADJ
cana-6024	102	17	pooling	pool	VERB
cana-6024	102	18	fully	fully	ADV
cana-6024	102	19	connected	connect	VERB
cana-6024	102	20	layer	layer	NOUN
cana-6024	102	21	for	for	ADP
cana-6024	102	22	binary	binary	ADJ
cana-6024	102	23	output	output	NOUN
cana-6024	102	24	return	return	NOUN
cana-6024	102	25	predicted	predict	VERB
cana-6024	102	26	label	label	NOUN
cana-6024	102	27	”	"	PUNCT
cana-6024	102	28	iv	iv	NUM
cana-6024	102	29	.	.	PUNCT
cana-6024	102	30	results	result	NOUN
cana-6024	102	31	and	and	CCONJ
cana-6024	102	32	analysis	analysis	NOUN
cana-6024	102	33	this	this	DET
cana-6024	102	34	section	section	NOUN
cana-6024	102	35	provides	provide	VERB
cana-6024	102	36	the	the	DET
cana-6024	102	37	experimental	experimental	ADJ
cana-6024	102	38	setup	setup	NOUN
cana-6024	102	39	,	,	PUNCT
cana-6024	102	40	implementation	implementation	NOUN
cana-6024	102	41	details	detail	NOUN
cana-6024	102	42	,	,	PUNCT
cana-6024	102	43	evaluation	evaluation	NOUN
cana-6024	102	44	processes	process	NOUN
cana-6024	102	45	,	,	PUNCT
cana-6024	102	46	and	and	CCONJ
cana-6024	102	47	performance	performance	NOUN
cana-6024	102	48	results	result	NOUN
cana-6024	102	49	obtained	obtain	VERB
cana-6024	102	50	from	from	ADP
cana-6024	102	51	the	the	DET
cana-6024	102	52	proposed	propose	VERB
cana-6024	102	53	deep	deep	ADJ
cana-6024	102	54	learning	learning	NOUN
cana-6024	102	55	models	model	NOUN
cana-6024	102	56	for	for	ADP
cana-6024	102	57	detecting	detect	VERB
cana-6024	102	58	cracks	crack	NOUN
cana-6024	102	59	in	in	ADP
cana-6024	102	60	concrete	concrete	NOUN
cana-6024	102	61	in	in	ADP
cana-6024	102	62	real	real	ADJ
cana-6024	102	63	-	-	PUNCT
cana-6024	102	64	time	time	NOUN
cana-6024	102	65	through	through	ADP
cana-6024	102	66	electromagnetic	electromagnetic	ADJ
cana-6024	102	67	(	(	PUNCT
cana-6024	102	68	em	em	NOUN
cana-6024	102	69	)	)	PUNCT
cana-6024	102	70	imaging	imaging	NOUN
cana-6024	102	71	.	.	PUNCT
cana-6024	103	1	the	the	DET
cana-6024	103	2	results	result	NOUN
cana-6024	103	3	presented	present	VERB
cana-6024	103	4	below	below	ADV
cana-6024	103	5	are	be	AUX
cana-6024	103	6	compared	compare	VERB
cana-6024	103	7	across	across	ADP
cana-6024	103	8	four	four	NUM
cana-6024	103	9	different	different	ADJ
cana-6024	103	10	architectures	architecture	NOUN
cana-6024	103	11	—	—	PUNCT
cana-6024	103	12	cnn	cnn	PROPN
cana-6024	103	13	,	,	PUNCT
cana-6024	103	14	resnet-50	resnet-50	PROPN
cana-6024	103	15	,	,	PUNCT
cana-6024	103	16	u	u	NOUN
cana-6024	103	17	-	-	NOUN
cana-6024	103	18	net	net	ADJ
cana-6024	103	19	,	,	PUNCT
cana-6024	103	20	and	and	CCONJ
cana-6024	103	21	mobilenetv2	mobilenetv2	PROPN
cana-6024	103	22	—	—	PUNCT
cana-6024	103	23	and	and	CCONJ
cana-6024	103	24	evaluated	evaluate	VERB
cana-6024	103	25	based	base	VERB
cana-6024	103	26	on	on	ADP
cana-6024	103	27	standard	standard	ADJ
cana-6024	103	28	evaluation	evaluation	NOUN
cana-6024	103	29	metrics	metric	NOUN
cana-6024	103	30	[	[	X
cana-6024	103	31	10	10	NUM
cana-6024	103	32	]	]	PUNCT
cana-6024	103	33	.	.	PUNCT
cana-6024	104	1	it	it	PRON
cana-6024	104	2	also	also	ADV
cana-6024	104	3	benchmarks	benchmark	VERB
cana-6024	104	4	the	the	DET
cana-6024	104	5	proposed	propose	VERB
cana-6024	104	6	models	model	NOUN
cana-6024	104	7	to	to	ADP
cana-6024	104	8	several	several	ADJ
cana-6024	104	9	select	select	ADJ
cana-6024	104	10	related	relate	VERB
cana-6024	104	11	studies	study	NOUN
cana-6024	104	12	to	to	PART
cana-6024	104	13	see	see	VERB
cana-6024	104	14	the	the	DET
cana-6024	104	15	potential	potential	ADJ
cana-6024	104	16	relative	relative	ADJ
cana-6024	104	17	advancements	advancement	NOUN
cana-6024	104	18	.	.	PUNCT
cana-6024	105	1	figure	figure	NOUN
cana-6024	105	2	1	1	NUM
cana-6024	105	3	:	:	PUNCT
cana-6024	105	4	“	"	PUNCT
cana-6024	105	5	detection	detection	NOUN
cana-6024	105	6	of	of	ADP
cana-6024	105	7	surface	surface	NOUN
cana-6024	105	8	cracks	crack	NOUN
cana-6024	105	9	in	in	ADP
cana-6024	105	10	concrete	concrete	ADJ
cana-6024	105	11	structures	structure	NOUN
cana-6024	105	12	using	use	VERB
cana-6024	105	13	deep	deep	ADJ
cana-6024	105	14	learning	learning	NOUN
cana-6024	105	15	”	"	PUNCT
cana-6024	105	16	4.1	4.1	NUM
cana-6024	105	17	experimental	experimental	ADJ
cana-6024	105	18	setup	setup	NOUN
cana-6024	105	19	all	all	DET
cana-6024	105	20	experiments	experiment	NOUN
cana-6024	105	21	were	be	AUX
cana-6024	105	22	conducted	conduct	VERB
cana-6024	105	23	in	in	ADP
cana-6024	105	24	python	python	NOUN
cana-6024	105	25	3.10	3.10	NUM
cana-6024	105	26	using	use	VERB
cana-6024	105	27	tensorflow	tensorflow	NOUN
cana-6024	105	28	and	and	CCONJ
cana-6024	105	29	keras	keras	PROPN
cana-6024	105	30	frameworks	framework	NOUN
cana-6024	105	31	.	.	PUNCT
cana-6024	106	1	the	the	DET
cana-6024	106	2	experiments	experiment	NOUN
cana-6024	106	3	were	be	AUX
cana-6024	106	4	run	run	VERB
cana-6024	106	5	on	on	ADP
cana-6024	106	6	a	a	DET
cana-6024	106	7	system	system	NOUN
cana-6024	106	8	with	with	ADP
cana-6024	106	9	an	an	DET
cana-6024	106	10	nvidia	nvidia	PROPN
cana-6024	106	11	rtx	rtx	PROPN
cana-6024	106	12	3080	3080	NUM
cana-6024	106	13	gpu	gpu	PROPN
cana-6024	106	14	,	,	PUNCT
cana-6024	106	15	32	32	NUM
cana-6024	106	16	gb	gb	NOUN
cana-6024	106	17	of	of	ADP
cana-6024	106	18	ram	ram	NOUN
cana-6024	106	19	,	,	PUNCT
cana-6024	106	20	and	and	CCONJ
cana-6024	106	21	running	run	VERB
cana-6024	106	22	ubuntu	ubuntu	NOUN
cana-6024	106	23	os	os	PROPN
cana-6024	106	24	.	.	PUNCT
cana-6024	107	1	the	the	DET
cana-6024	107	2	same	same	ADJ
cana-6024	107	3	training	training	NOUN
cana-6024	107	4	environment	environment	NOUN
cana-6024	107	5	was	be	AUX
cana-6024	107	6	used	use	VERB
cana-6024	107	7	for	for	ADP
cana-6024	107	8	all	all	DET
cana-6024	107	9	four	four	NUM
cana-6024	107	10	models	model	NOUN
cana-6024	107	11	to	to	PART
cana-6024	107	12	ensure	ensure	VERB
cana-6024	107	13	comparisons	comparison	NOUN
cana-6024	107	14	remain	remain	VERB
cana-6024	107	15	uniform	uniform	ADJ
cana-6024	107	16	;	;	PUNCT
cana-6024	107	17	that	that	PRON
cana-6024	107	18	being	be	AUX
cana-6024	107	19	said	say	VERB
cana-6024	107	20	,	,	PUNCT
cana-6024	107	21	we	we	PRON
cana-6024	107	22	used	use	VERB
cana-6024	107	23	em	em	PRON
cana-6024	107	24	images	image	NOUN
cana-6024	107	25	of	of	ADP
cana-6024	107	26	the	the	DET
cana-6024	107	27	same	same	ADJ
cana-6024	107	28	scale	scale	NOUN
cana-6024	107	29	—	—	PUNCT
cana-6024	107	30	both	both	CCONJ
cana-6024	107	31	in	in	ADP
cana-6024	107	32	size	size	NOUN
cana-6024	107	33	and	and	CCONJ
cana-6024	107	34	count	count	NOUN
cana-6024	107	35	—	—	PUNCT
cana-6024	107	36	to	to	PART
cana-6024	107	37	provide	provide	VERB
cana-6024	107	38	consistent	consistent	ADJ
cana-6024	107	39	training	training	NOUN
cana-6024	107	40	inputs	input	NOUN
cana-6024	107	41	.	.	PUNCT
cana-6024	108	1	in	in	ADP
cana-6024	108	2	our	our	PRON
cana-6024	108	3	dataset	dataset	NOUN
cana-6024	108	4	,	,	PUNCT
cana-6024	108	5	we	we	PRON
cana-6024	108	6	had	have	VERB
cana-6024	108	7	5,000	5,000	NUM
cana-6024	108	8	em	em	PRON
cana-6024	108	9	images	image	VERB
cana-6024	108	10	communications	communication	NOUN
cana-6024	108	11	on	on	ADP
cana-6024	108	12	applied	apply	VERB
cana-6024	108	13	nonlinear	nonlinear	ADJ
cana-6024	108	14	analysis	analysis	NOUN
cana-6024	108	15	issn	issn	NOUN
cana-6024	108	16	:	:	PUNCT
cana-6024	108	17	1074	1074	NUM
cana-6024	108	18	-	-	PUNCT
cana-6024	108	19	133x	133x	NUM
cana-6024	108	20	vol	vol	NOUN
cana-6024	108	21	31	31	NUM
cana-6024	108	22	no	no	NOUN
cana-6024	108	23	.	.	PUNCT
cana-6024	109	1	8s	8s	PROPN
cana-6024	109	2	(	(	PUNCT
cana-6024	109	3	2024	2024	NUM
cana-6024	109	4	)	)	PUNCT
cana-6024	109	5	1146	1146	NUM
cana-6024	109	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	109	7	that	that	SCONJ
cana-6024	109	8	we	we	PRON
cana-6024	109	9	split	split	VERB
cana-6024	109	10	into	into	ADP
cana-6024	109	11	a	a	DET
cana-6024	109	12	training	training	NOUN
cana-6024	109	13	70	70	NUM
cana-6024	109	14	%	%	NOUN
cana-6024	109	15	,	,	PUNCT
cana-6024	109	16	validation	validation	NOUN
cana-6024	109	17	15	15	NUM
cana-6024	109	18	%	%	NOUN
cana-6024	109	19	,	,	PUNCT
cana-6024	109	20	and	and	CCONJ
cana-6024	109	21	testing	test	VERB
cana-6024	109	22	15	15	NUM
cana-6024	109	23	%	%	NOUN
cana-6024	109	24	sets	set	NOUN
cana-6024	109	25	,	,	PUNCT
cana-6024	109	26	as	as	SCONJ
cana-6024	109	27	described	describe	VERB
cana-6024	109	28	in	in	ADP
cana-6024	109	29	section	section	NOUN
cana-6024	109	30	3	3	NUM
cana-6024	109	31	.	.	PUNCT
cana-6024	110	1	each	each	PRON
cana-6024	110	2	of	of	ADP
cana-6024	110	3	the	the	DET
cana-6024	110	4	models	model	NOUN
cana-6024	110	5	was	be	AUX
cana-6024	110	6	allowed	allow	VERB
cana-6024	110	7	to	to	PART
cana-6024	110	8	be	be	AUX
cana-6024	110	9	trained	train	VERB
cana-6024	110	10	for	for	ADP
cana-6024	110	11	50	50	NUM
cana-6024	110	12	epochs	epoch	NOUN
cana-6024	110	13	,	,	PUNCT
cana-6024	110	14	wherein	wherein	SCONJ
cana-6024	110	15	we	we	PRON
cana-6024	110	16	used	use	VERB
cana-6024	110	17	the	the	DET
cana-6024	110	18	early	early	ADJ
cana-6024	110	19	stopping	stopping	NOUN
cana-6024	110	20	technique	technique	NOUN
cana-6024	110	21	based	base	VERB
cana-6024	110	22	on	on	ADP
cana-6024	110	23	validation	validation	NOUN
cana-6024	110	24	loss	loss	NOUN
cana-6024	110	25	to	to	PART
cana-6024	110	26	thwart	thwart	VERB
cana-6024	110	27	overfitting	overfitte	VERB
cana-6024	110	28	[	[	X
cana-6024	110	29	11	11	NUM
cana-6024	110	30	]	]	PUNCT
cana-6024	110	31	.	.	PUNCT
cana-6024	111	1	we	we	PRON
cana-6024	111	2	used	use	VERB
cana-6024	111	3	the	the	DET
cana-6024	111	4	adam	adam	PROPN
cana-6024	111	5	optimizer	optimizer	NOUN
cana-6024	111	6	with	with	ADP
cana-6024	111	7	a	a	DET
cana-6024	111	8	learning	learn	VERB
cana-6024	111	9	rate	rate	NOUN
cana-6024	111	10	of	of	ADP
cana-6024	111	11	0.001	0.001	NUM
cana-6024	111	12	and	and	CCONJ
cana-6024	111	13	binary	binary	ADJ
cana-6024	111	14	cross	cross	NOUN
cana-6024	111	15	-	-	NOUN
cana-6024	111	16	entropy	entropy	NOUN
cana-6024	111	17	as	as	ADP
cana-6024	111	18	the	the	DET
cana-6024	111	19	loss	loss	NOUN
cana-6024	111	20	function	function	NOUN
cana-6024	111	21	for	for	ADP
cana-6024	111	22	the	the	DET
cana-6024	111	23	models	model	NOUN
cana-6024	111	24	.	.	PUNCT
cana-6024	112	1	for	for	ADP
cana-6024	112	2	segmentation	segmentation	NOUN
cana-6024	112	3	(	(	PUNCT
cana-6024	112	4	u	u	NOUN
cana-6024	112	5	-	-	NOUN
cana-6024	112	6	net	net	NOUN
cana-6024	112	7	)	)	PUNCT
cana-6024	112	8	,	,	PUNCT
cana-6024	112	9	we	we	PRON
cana-6024	112	10	used	use	VERB
cana-6024	112	11	dice	dice	NOUN
cana-6024	112	12	loss	loss	NOUN
cana-6024	112	13	to	to	PART
cana-6024	112	14	make	make	VERB
cana-6024	112	15	a	a	DET
cana-6024	112	16	more	more	ADV
cana-6024	112	17	meaningful	meaningful	ADJ
cana-6024	112	18	pixel	pixel	NOUN
cana-6024	112	19	-	-	PUNCT
cana-6024	112	20	by	by	ADP
cana-6024	112	21	-	-	PUNCT
cana-6024	112	22	pixel	pixel	NOUN
cana-6024	112	23	evaluation	evaluation	NOUN
cana-6024	112	24	process	process	NOUN
cana-6024	112	25	.	.	PUNCT
cana-6024	113	1	4.2	4.2	NUM
cana-6024	113	2	model	model	NOUN
cana-6024	113	3	evaluation	evaluation	NOUN
cana-6024	113	4	metrics	metric	NOUN
cana-6024	113	5	we	we	PRON
cana-6024	113	6	used	use	VERB
cana-6024	113	7	the	the	DET
cana-6024	113	8	following	follow	VERB
cana-6024	113	9	evaluation	evaluation	NOUN
cana-6024	113	10	metrics	metric	NOUN
cana-6024	113	11	:	:	PUNCT
cana-6024	113	12	●	●	PUNCT
cana-6024	113	13	accuracy	accuracy	NOUN
cana-6024	113	14	:	:	PUNCT
cana-6024	113	15	the	the	DET
cana-6024	113	16	percentage	percentage	NOUN
cana-6024	113	17	of	of	ADP
cana-6024	113	18	correct	correct	ADJ
cana-6024	113	19	predictions	prediction	NOUN
cana-6024	113	20	.	.	PUNCT
cana-6024	113	21	.	.	PUNCT
cana-6024	114	1	●	●	PUNCT
cana-6024	114	2	precision	precision	NOUN
cana-6024	114	3	:	:	PUNCT
cana-6024	114	4	the	the	DET
cana-6024	114	5	percentage	percentage	NOUN
cana-6024	114	6	of	of	ADP
cana-6024	114	7	true	true	ADJ
cana-6024	114	8	positives	positive	NOUN
cana-6024	114	9	in	in	ADP
cana-6024	114	10	all	all	DET
cana-6024	114	11	predicted	predict	VERB
cana-6024	114	12	positives	positive	NOUN
cana-6024	114	13	.	.	PUNCT
cana-6024	115	1	●	●	PUNCT
cana-6024	115	2	recall	recall	NOUN
cana-6024	115	3	:	:	PUNCT
cana-6024	115	4	the	the	DET
cana-6024	115	5	percentage	percentage	NOUN
cana-6024	115	6	of	of	ADP
cana-6024	115	7	true	true	ADJ
cana-6024	115	8	positives	positive	NOUN
cana-6024	115	9	in	in	ADP
cana-6024	115	10	all	all	DET
cana-6024	115	11	actual	actual	ADJ
cana-6024	115	12	positives	positive	NOUN
cana-6024	115	13	.	.	PUNCT
cana-6024	116	1	●	●	PUNCT
cana-6024	116	2	f1	f1	NOUN
cana-6024	116	3	-	-	PUNCT
cana-6024	116	4	score	score	NOUN
cana-6024	116	5	:	:	PUNCT
cana-6024	116	6	the	the	DET
cana-6024	116	7	harmonic	harmonic	ADJ
cana-6024	116	8	mean	mean	NOUN
cana-6024	116	9	of	of	ADP
cana-6024	116	10	precision	precision	NOUN
cana-6024	116	11	and	and	CCONJ
cana-6024	116	12	recall	recall	NOUN
cana-6024	116	13	.	.	PUNCT
cana-6024	117	1	●	●	PUNCT
cana-6024	117	2	iou	iou	NOUN
cana-6024	117	3	(	(	PUNCT
cana-6024	117	4	intersection	intersection	NOUN
cana-6024	117	5	-	-	PUNCT
cana-6024	117	6	over	over	ADP
cana-6024	117	7	-	-	PUNCT
cana-6024	117	8	union	union	NOUN
cana-6024	117	9	):	):	PUNCT
cana-6024	117	10	for	for	ADP
cana-6024	117	11	segmentation	segmentation	NOUN
cana-6024	117	12	,	,	PUNCT
cana-6024	117	13	to	to	PART
cana-6024	117	14	check	check	VERB
cana-6024	117	15	the	the	DET
cana-6024	117	16	overlap	overlap	NOUN
cana-6024	117	17	between	between	ADP
cana-6024	117	18	predicted	predict	VERB
cana-6024	117	19	and	and	CCONJ
cana-6024	117	20	ground	ground	NOUN
cana-6024	117	21	truth	truth	NOUN
cana-6024	117	22	masks	mask	NOUN
cana-6024	117	23	,	,	PUNCT
cana-6024	117	24	.	.	PUNCT
cana-6024	118	1	●	●	PUNCT
cana-6024	118	2	inference	inference	NOUN
cana-6024	118	3	time	time	NOUN
cana-6024	118	4	:	:	PUNCT
cana-6024	118	5	the	the	DET
cana-6024	118	6	average	average	ADJ
cana-6024	118	7	time	time	NOUN
cana-6024	118	8	per	per	ADP
cana-6024	118	9	prediction	prediction	NOUN
cana-6024	118	10	in	in	ADP
cana-6024	118	11	milliseconds	millisecond	NOUN
cana-6024	118	12	,	,	PUNCT
cana-6024	118	13	there	there	PRON
cana-6024	118	14	is	be	VERB
cana-6024	118	15	significance	significance	NOUN
cana-6024	118	16	in	in	ADP
cana-6024	118	17	time	time	NOUN
cana-6024	118	18	for	for	ADP
cana-6024	118	19	real	real	ADJ
cana-6024	118	20	-	-	PUNCT
cana-6024	118	21	time	time	NOUN
cana-6024	118	22	application	application	NOUN
cana-6024	118	23	.	.	PUNCT
cana-6024	119	1	4.3	4.3	NUM
cana-6024	119	2	model	model	NOUN
cana-6024	119	3	performance	performance	NOUN
cana-6024	119	4	comparison	comparison	NOUN
cana-6024	119	5	the	the	DET
cana-6024	119	6	performance	performance	NOUN
cana-6024	119	7	of	of	ADP
cana-6024	119	8	each	each	DET
cana-6024	119	9	model	model	NOUN
cana-6024	119	10	on	on	ADP
cana-6024	119	11	the	the	DET
cana-6024	119	12	test	test	NOUN
cana-6024	119	13	data	data	NOUN
cana-6024	119	14	-	-	PUNCT
cana-6024	119	15	set	set	NOUN
cana-6024	119	16	is	be	AUX
cana-6024	119	17	shown	show	VERB
cana-6024	119	18	below	below	ADP
cana-6024	119	19	:	:	PUNCT
cana-6024	119	20	table	table	NOUN
cana-6024	119	21	1	1	NUM
cana-6024	119	22	:	:	PUNCT
cana-6024	119	23	model	model	NOUN
cana-6024	119	24	performance	performance	NOUN
cana-6024	119	25	metrics	metric	NOUN
cana-6024	119	26	model	model	NOUN
cana-6024	119	27	accuracy	accuracy	NOUN
cana-6024	119	28	(	(	PUNCT
cana-6024	119	29	%	%	INTJ
cana-6024	119	30	)	)	PUNCT
cana-6024	119	31	precision	precision	NOUN
cana-6024	119	32	(	(	PUNCT
cana-6024	119	33	%	%	INTJ
cana-6024	119	34	)	)	PUNCT
cana-6024	119	35	recall	recall	NOUN
cana-6024	119	36	(	(	PUNCT
cana-6024	119	37	%	%	NOUN
cana-6024	119	38	)	)	PUNCT
cana-6024	119	39	f1	f1	NOUN
cana-6024	119	40	-	-	PUNCT
cana-6024	119	41	score	score	NOUN
cana-6024	119	42	(	(	PUNCT
cana-6024	119	43	%	%	INTJ
cana-6024	119	44	)	)	PUNCT
cana-6024	119	45	iou	iou	NOUN
cana-6024	119	46	(	(	PUNCT
cana-6024	119	47	%	%	NOUN
cana-6024	119	48	)	)	PUNCT
cana-6024	119	49	inference	inference	NOUN
cana-6024	119	50	time	time	NOUN
cana-6024	119	51	(	(	PUNCT
cana-6024	119	52	ms	ms	PROPN
cana-6024	119	53	)	)	PUNCT
cana-6024	119	54	cnn	cnn	PROPN
cana-6024	119	55	91.4	91.4	NUM
cana-6024	119	56	90.1	90.1	NUM
cana-6024	119	57	89.7	89.7	NUM
cana-6024	119	58	89.9	89.9	NUM
cana-6024	119	59	77.3	77.3	NUM
cana-6024	119	60	18	18	NUM
cana-6024	119	61	resnet-50	resnet-50	PROPN
cana-6024	119	62	96.2	96.2	NUM
cana-6024	119	63	95.6	95.6	NUM
cana-6024	119	64	95.1	95.1	NUM
cana-6024	119	65	95.3	95.3	NUM
cana-6024	119	66	86.4	86.4	NUM
cana-6024	119	67	42	42	NUM
cana-6024	119	68	u	u	NOUN
cana-6024	119	69	-	-	NOUN
cana-6024	119	70	net	net	ADJ
cana-6024	119	71	95.7	95.7	NUM
cana-6024	119	72	94.9	94.9	NUM
cana-6024	119	73	95.3	95.3	NUM
cana-6024	119	74	95.1	95.1	NUM
cana-6024	119	75	89.2	89.2	NUM
cana-6024	119	76	65	65	NUM
cana-6024	119	77	mobilenetv2	mobilenetv2	NOUN
cana-6024	119	78	94.1	94.1	NUM
cana-6024	119	79	93.2	93.2	NUM
cana-6024	119	80	92.7	92.7	NUM
cana-6024	119	81	92.9	92.9	NUM
cana-6024	119	82	84.6	84.6	NUM
cana-6024	119	83	12	12	NUM
cana-6024	119	84	chas	chas	PROPN
cana-6024	119	85	a	a	DET
cana-6024	119	86	brief	brief	ADJ
cana-6024	119	87	look	look	NOUN
cana-6024	119	88	at	at	ADP
cana-6024	119	89	the	the	DET
cana-6024	119	90	dimensions	dimension	NOUN
cana-6024	119	91	of	of	ADP
cana-6024	119	92	these	these	DET
cana-6024	119	93	three	three	NUM
cana-6024	119	94	models	model	NOUN
cana-6024	119	95	you	you	PRON
cana-6024	119	96	can	can	AUX
cana-6024	119	97	see	see	VERB
cana-6024	119	98	in	in	ADP
cana-6024	119	99	table	table	NOUN
cana-6024	119	100	1	1	NUM
cana-6024	119	101	,	,	PUNCT
cana-6024	119	102	resnet-50	resnet-50	PROPN
cana-6024	119	103	had	have	VERB
cana-6024	119	104	the	the	DET
cana-6024	119	105	best	good	ADJ
cana-6024	119	106	overall	overall	ADJ
cana-6024	119	107	classification	classification	NOUN
cana-6024	119	108	performance	performance	NOUN
cana-6024	119	109	while	while	SCONJ
cana-6024	119	110	u	u	NOUN
cana-6024	119	111	-	-	NOUN
cana-6024	119	112	net	net	NOUN
cana-6024	119	113	had	have	VERB
cana-6024	119	114	the	the	DET
cana-6024	119	115	best	good	ADJ
cana-6024	119	116	localization	localization	NOUN
cana-6024	119	117	performance	performance	NOUN
cana-6024	119	118	(	(	PUNCT
cana-6024	119	119	iou	iou	NOUN
cana-6024	119	120	)	)	PUNCT
cana-6024	119	121	.	.	PUNCT
cana-6024	120	1	communications	communication	NOUN
cana-6024	120	2	on	on	ADP
cana-6024	120	3	applied	apply	VERB
cana-6024	120	4	nonlinear	nonlinear	ADJ
cana-6024	120	5	analysis	analysis	NOUN
cana-6024	120	6	issn	issn	NOUN
cana-6024	120	7	:	:	PUNCT
cana-6024	120	8	1074	1074	NUM
cana-6024	120	9	-	-	PUNCT
cana-6024	120	10	133x	133x	NUM
cana-6024	120	11	vol	vol	NOUN
cana-6024	120	12	31	31	NUM
cana-6024	120	13	no	no	NOUN
cana-6024	120	14	.	.	PUNCT
cana-6024	121	1	8s	8s	PROPN
cana-6024	121	2	(	(	PUNCT
cana-6024	121	3	2024	2024	NUM
cana-6024	121	4	)	)	PUNCT
cana-6024	121	5	1147	1147	NUM
cana-6024	121	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	122	1	mobilenetv2	mobilenetv2	PROPN
cana-6024	122	2	was	be	AUX
cana-6024	122	3	a	a	DET
cana-6024	122	4	little	little	ADV
cana-6024	122	5	less	less	ADV
cana-6024	122	6	accurate	accurate	ADJ
cana-6024	122	7	,	,	PUNCT
cana-6024	122	8	but	but	CCONJ
cana-6024	122	9	it	it	PRON
cana-6024	122	10	had	have	VERB
cana-6024	122	11	a	a	DET
cana-6024	122	12	phenomenal	phenomenal	ADJ
cana-6024	122	13	inference	inference	NOUN
cana-6024	122	14	time	time	NOUN
cana-6024	122	15	,	,	PUNCT
cana-6024	122	16	making	make	VERB
cana-6024	122	17	it	it	PRON
cana-6024	122	18	the	the	DET
cana-6024	122	19	optimal	optimal	ADJ
cana-6024	122	20	model	model	NOUN
cana-6024	122	21	to	to	PART
cana-6024	122	22	implement	implement	VERB
cana-6024	122	23	in	in	ADP
cana-6024	122	24	real	real	ADJ
cana-6024	122	25	time	time	NOUN
cana-6024	122	26	on	on	ADP
cana-6024	122	27	an	an	DET
cana-6024	122	28	embedded	embed	VERB
cana-6024	122	29	system	system	NOUN
cana-6024	122	30	[	[	X
cana-6024	122	31	12	12	NUM
cana-6024	122	32	]	]	PUNCT
cana-6024	122	33	.	.	PUNCT
cana-6024	123	1	figure	figure	NOUN
cana-6024	123	2	2	2	NUM
cana-6024	123	3	:	:	PUNCT
cana-6024	123	4	“	"	PUNCT
cana-6024	123	5	deep	deep	ADJ
cana-6024	123	6	learning	learning	NOUN
cana-6024	123	7	-	-	PUNCT
cana-6024	123	8	based	base	VERB
cana-6024	123	9	automated	automate	VERB
cana-6024	123	10	detection	detection	NOUN
cana-6024	123	11	of	of	ADP
cana-6024	123	12	cracks	crack	NOUN
cana-6024	123	13	in	in	ADP
cana-6024	123	14	historical	historical	ADJ
cana-6024	123	15	masonry	masonry	NOUN
cana-6024	123	16	structures	structure	NOUN
cana-6024	123	17	”	"	PUNCT
cana-6024	123	18	4.4	4.4	NUM
cana-6024	123	19	confusion	confusion	NOUN
cana-6024	123	20	matrix	matrix	NOUN
cana-6024	123	21	analysis	analysis	NOUN
cana-6024	123	22	the	the	DET
cana-6024	123	23	following	follow	VERB
cana-6024	123	24	confusion	confusion	NOUN
cana-6024	123	25	matrices	matrix	NOUN
cana-6024	123	26	summarize	summarize	VERB
cana-6024	123	27	the	the	DET
cana-6024	123	28	prediction	prediction	NOUN
cana-6024	123	29	accuracy	accuracy	NOUN
cana-6024	123	30	of	of	ADP
cana-6024	123	31	each	each	DET
cana-6024	123	32	model	model	NOUN
cana-6024	123	33	across	across	ADP
cana-6024	123	34	the	the	DET
cana-6024	123	35	classes	class	NOUN
cana-6024	123	36	:	:	PUNCT
cana-6024	123	37	table	table	NOUN
cana-6024	123	38	2	2	NUM
cana-6024	123	39	:	:	PUNCT
cana-6024	123	40	confusion	confusion	NOUN
cana-6024	123	41	matrix	matrix	NOUN
cana-6024	123	42	(	(	PUNCT
cana-6024	123	43	sample	sample	NOUN
cana-6024	123	44	of	of	ADP
cana-6024	123	45	200	200	NUM
cana-6024	123	46	test	test	NOUN
cana-6024	123	47	images	image	NOUN
cana-6024	123	48	)	)	PUNCT
cana-6024	123	49	model	model	NOUN
cana-6024	123	50	true	true	ADJ
cana-6024	123	51	positive	positive	ADJ
cana-6024	123	52	false	false	ADJ
cana-6024	123	53	positive	positive	ADJ
cana-6024	123	54	true	true	ADJ
cana-6024	123	55	negative	negative	ADJ
cana-6024	123	56	false	false	ADJ
cana-6024	123	57	negative	negative	ADJ
cana-6024	123	58	cnn	cnn	NOUN
cana-6024	123	59	88	88	NUM
cana-6024	123	60	7	7	NUM
cana-6024	123	61	92	92	NUM
cana-6024	123	62	13	13	NUM
cana-6024	123	63	resnet-50	resnet-50	PROPN
cana-6024	123	64	94	94	NUM
cana-6024	123	65	3	3	NUM
cana-6024	123	66	95	95	NUM
cana-6024	123	67	8	8	NUM
cana-6024	123	68	u	u	NOUN
cana-6024	123	69	-	-	NOUN
cana-6024	123	70	net	net	ADJ
cana-6024	123	71	95	95	NUM
cana-6024	123	72	4	4	NUM
cana-6024	123	73	93	93	NUM
cana-6024	123	74	8	8	NUM
cana-6024	123	75	mobilenetv2	mobilenetv2	NOUN
cana-6024	123	76	92	92	NUM
cana-6024	123	77	6	6	NUM
cana-6024	123	78	91	91	NUM
cana-6024	123	79	11	11	NUM
cana-6024	123	80	resnet-50	resnet-50	PROPN
cana-6024	123	81	and	and	CCONJ
cana-6024	123	82	u	u	NOUN
cana-6024	123	83	-	-	NOUN
cana-6024	123	84	net	net	NOUN
cana-6024	123	85	exhibited	exhibit	VERB
cana-6024	123	86	favorable	favorable	ADJ
cana-6024	123	87	trade	trade	NOUN
cana-6024	123	88	-	-	PUNCT
cana-6024	123	89	offs	off	NOUN
cana-6024	123	90	in	in	ADP
cana-6024	123	91	terms	term	NOUN
cana-6024	123	92	of	of	ADP
cana-6024	123	93	precision	precision	NOUN
cana-6024	123	94	and	and	CCONJ
cana-6024	123	95	recall	recall	NOUN
cana-6024	123	96	.	.	PUNCT
cana-6024	124	1	cnn	cnn	PROPN
cana-6024	124	2	had	have	VERB
cana-6024	124	3	slightly	slightly	ADV
cana-6024	124	4	more	more	ADV
cana-6024	124	5	false	false	ADJ
cana-6024	124	6	negatives	negative	NOUN
cana-6024	124	7	,	,	PUNCT
cana-6024	124	8	but	but	CCONJ
cana-6024	124	9	mobilenetv2	mobilenetv2	PROPN
cana-6024	124	10	still	still	ADV
cana-6024	124	11	achieved	achieve	VERB
cana-6024	124	12	some	some	DET
cana-6024	124	13	respectable	respectable	ADJ
cana-6024	124	14	trade	trade	NOUN
cana-6024	124	15	-	-	PUNCT
cana-6024	124	16	offs	off	NOUN
cana-6024	124	17	,	,	PUNCT
cana-6024	124	18	despite	despite	SCONJ
cana-6024	124	19	being	be	AUX
cana-6024	124	20	the	the	DET
cana-6024	124	21	lightest	light	ADJ
cana-6024	124	22	of	of	ADP
cana-6024	124	23	all	all	DET
cana-6024	124	24	models	model	NOUN
cana-6024	124	25	[	[	X
cana-6024	124	26	13	13	NUM
cana-6024	124	27	]	]	PUNCT
cana-6024	124	28	.	.	PUNCT
cana-6024	125	1	4.5	4.5	NUM
cana-6024	125	2	visual	visual	ADJ
cana-6024	125	3	analysis	analysis	NOUN
cana-6024	125	4	of	of	ADP
cana-6024	125	5	crack	crack	NOUN
cana-6024	125	6	detection	detection	NOUN
cana-6024	125	7	to	to	PART
cana-6024	125	8	visualize	visualize	VERB
cana-6024	125	9	predictions	prediction	NOUN
cana-6024	125	10	made	make	VERB
cana-6024	125	11	from	from	ADP
cana-6024	125	12	a	a	DET
cana-6024	125	13	trained	train	VERB
cana-6024	125	14	model	model	NOUN
cana-6024	125	15	,	,	PUNCT
cana-6024	125	16	specifically	specifically	ADV
cana-6024	125	17	a	a	DET
cana-6024	125	18	pixel	pixel	ADJ
cana-6024	125	19	-	-	ADJ
cana-6024	125	20	wise	wise	ADJ
cana-6024	125	21	evaluation	evaluation	NOUN
cana-6024	125	22	of	of	ADP
cana-6024	125	23	true	true	ADJ
cana-6024	125	24	vs.	vs.	ADP
cana-6024	125	25	predicted	predict	VERB
cana-6024	125	26	crack	crack	NOUN
cana-6024	125	27	locations	location	NOUN
cana-6024	125	28	using	use	VERB
cana-6024	125	29	u	u	NOUN
cana-6024	125	30	-	-	NOUN
cana-6024	125	31	net	net	ADJ
cana-6024	125	32	,	,	PUNCT
cana-6024	125	33	we	we	PRON
cana-6024	125	34	constructed	construct	VERB
cana-6024	125	35	a	a	DET
cana-6024	125	36	table	table	NOUN
cana-6024	125	37	that	that	PRON
cana-6024	125	38	presents	present	VERB
cana-6024	125	39	iou	iou	NOUN
cana-6024	125	40	values	value	NOUN
cana-6024	125	41	for	for	ADP
cana-6024	125	42	5	5	NUM
cana-6024	125	43	sample	sample	NOUN
cana-6024	125	44	test	test	NOUN
cana-6024	125	45	images	image	NOUN
cana-6024	125	46	.	.	PUNCT
cana-6024	126	1	communications	communication	NOUN
cana-6024	126	2	on	on	ADP
cana-6024	126	3	applied	apply	VERB
cana-6024	126	4	nonlinear	nonlinear	ADJ
cana-6024	126	5	analysis	analysis	NOUN
cana-6024	126	6	issn	issn	NOUN
cana-6024	126	7	:	:	PUNCT
cana-6024	126	8	1074	1074	NUM
cana-6024	126	9	-	-	PUNCT
cana-6024	126	10	133x	133x	NUM
cana-6024	126	11	vol	vol	NOUN
cana-6024	126	12	31	31	NUM
cana-6024	126	13	no	no	NOUN
cana-6024	126	14	.	.	PUNCT
cana-6024	127	1	8s	8s	PROPN
cana-6024	127	2	(	(	PUNCT
cana-6024	127	3	2024	2024	NUM
cana-6024	127	4	)	)	PUNCT
cana-6024	127	5	1148	1148	NUM
cana-6024	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	127	7	table	table	NOUN
cana-6024	127	8	3	3	NUM
cana-6024	127	9	:	:	PUNCT
cana-6024	127	10	iou	iou	NOUN
cana-6024	127	11	evaluation	evaluation	NOUN
cana-6024	127	12	on	on	ADP
cana-6024	127	13	segmentation	segmentation	NOUN
cana-6024	127	14	test	test	NOUN
cana-6024	127	15	samples	sample	NOUN
cana-6024	127	16	(	(	PUNCT
cana-6024	127	17	u	u	NOUN
cana-6024	127	18	-	-	NOUN
cana-6024	127	19	net	net	ADJ
cana-6024	127	20	)	)	PUNCT
cana-6024	127	21	image	image	NOUN
cana-6024	127	22	i	i	PROPN
cana-6024	127	23	d	d	PROPN
cana-6024	127	24	ground	ground	NOUN
cana-6024	127	25	truth	truth	NOUN
cana-6024	127	26	mask	mask	NOUN
cana-6024	127	27	area	area	NOUN
cana-6024	127	28	(	(	PUNCT
cana-6024	127	29	px	px	PROPN
cana-6024	127	30	)	)	PUNCT
cana-6024	127	31	predicted	predict	VERB
cana-6024	127	32	mask	mask	NOUN
cana-6024	127	33	area	area	NOUN
cana-6024	127	34	(	(	PUNCT
cana-6024	127	35	px	px	PROPN
cana-6024	127	36	)	)	PUNCT
cana-6024	127	37	iou	iou	NOUN
cana-6024	127	38	(	(	PUNCT
cana-6024	127	39	%	%	NOUN
cana-6024	127	40	)	)	PUNCT
cana-6024	127	41	img_0101	img_0101	PROPN
cana-6024	127	42	1082	1082	NUM
cana-6024	127	43	1120	1120	NUM
cana-6024	127	44	90.5	90.5	NUM
cana-6024	127	45	img_0133	img_0133	NUM
cana-6024	127	46	943	943	NUM
cana-6024	127	47	910	910	NUM
cana-6024	127	48	87.8	87.8	NUM
cana-6024	127	49	img_0210	img_0210	PROPN
cana-6024	127	50	1002	1002	NUM
cana-6024	127	51	978	978	NUM
cana-6024	127	52	88.6	88.6	NUM
cana-6024	127	53	img_0245	img_0245	NUM
cana-6024	127	54	1354	1354	NUM
cana-6024	127	55	1401	1401	NUM
cana-6024	127	56	89.9	89.9	NUM
cana-6024	127	57	img_0287	img_0287	NUM
cana-6024	127	58	820	820	NUM
cana-6024	127	59	792	792	NUM
cana-6024	127	60	85.2	85.2	NUM
cana-6024	127	61	the	the	DET
cana-6024	127	62	u	u	ADJ
cana-6024	127	63	-	-	ADJ
cana-6024	127	64	net	net	ADJ
cana-6024	127	65	model	model	NOUN
cana-6024	127	66	was	be	AUX
cana-6024	127	67	able	able	ADJ
cana-6024	127	68	to	to	PART
cana-6024	127	69	track	track	VERB
cana-6024	127	70	the	the	DET
cana-6024	127	71	true	true	ADJ
cana-6024	127	72	position	position	NOUN
cana-6024	127	73	of	of	ADP
cana-6024	127	74	the	the	DET
cana-6024	127	75	cracks	crack	NOUN
cana-6024	127	76	very	very	ADV
cana-6024	127	77	closely	closely	ADV
cana-6024	127	78	,	,	PUNCT
cana-6024	127	79	supporting	support	VERB
cana-6024	127	80	its	its	PRON
cana-6024	127	81	usefulness	usefulness	NOUN
cana-6024	127	82	for	for	ADP
cana-6024	127	83	detailed	detailed	ADJ
cana-6024	127	84	structural	structural	ADJ
cana-6024	127	85	health	health	NOUN
cana-6024	127	86	diagnostics	diagnostic	NOUN
cana-6024	127	87	[	[	X
cana-6024	127	88	14	14	NUM
cana-6024	127	89	]	]	PUNCT
cana-6024	127	90	.	.	PUNCT
cana-6024	128	1	figure	figure	VERB
cana-6024	128	2	3	3	NUM
cana-6024	128	3	:	:	PUNCT
cana-6024	128	4	“	"	PUNCT
cana-6024	128	5	deep	deep	ADJ
cana-6024	128	6	learning	learning	NOUN
cana-6024	128	7	for	for	ADP
cana-6024	128	8	concrete	concrete	ADJ
cana-6024	128	9	crack	crack	NOUN
cana-6024	128	10	detection	detection	NOUN
cana-6024	128	11	and	and	CCONJ
cana-6024	128	12	measurement	measurement	NOUN
cana-6024	128	13	”	"	PUNCT
cana-6024	128	14	4.6	4.6	NUM
cana-6024	128	15	convergence	convergence	NOUN
cana-6024	128	16	of	of	ADP
cana-6024	128	17	models	model	NOUN
cana-6024	128	18	to	to	PART
cana-6024	128	19	ensure	ensure	VERB
cana-6024	128	20	that	that	SCONJ
cana-6024	128	21	correct	correct	ADJ
cana-6024	128	22	model	model	NOUN
cana-6024	128	23	convergence	convergence	NOUN
cana-6024	128	24	was	be	AUX
cana-6024	128	25	achieved	achieve	VERB
cana-6024	128	26	,	,	PUNCT
cana-6024	128	27	training	training	NOUN
cana-6024	128	28	and	and	CCONJ
cana-6024	128	29	validation	validation	NOUN
cana-6024	128	30	accuracy	accuracy	NOUN
cana-6024	128	31	and	and	CCONJ
cana-6024	128	32	loss	loss	NOUN
cana-6024	128	33	curves	curve	NOUN
cana-6024	128	34	were	be	AUX
cana-6024	128	35	tracked	track	VERB
cana-6024	128	36	to	to	PART
cana-6024	128	37	be	be	AUX
cana-6024	128	38	able	able	ADJ
cana-6024	128	39	to	to	PART
cana-6024	128	40	detect	detect	VERB
cana-6024	128	41	overfitting	overfitte	VERB
cana-6024	128	42	.	.	PUNCT
cana-6024	129	1	table	table	NOUN
cana-6024	129	2	4	4	NUM
cana-6024	129	3	:	:	PUNCT
cana-6024	129	4	final	final	ADJ
cana-6024	129	5	training	training	NOUN
cana-6024	129	6	epoch	epoch	NOUN
cana-6024	129	7	performance	performance	NOUN
cana-6024	129	8	(	(	PUNCT
cana-6024	129	9	after	after	ADP
cana-6024	129	10	50	50	NUM
cana-6024	129	11	epochs	epoch	NOUN
cana-6024	129	12	)	)	PUNCT
cana-6024	129	13	model	model	NOUN
cana-6024	129	14	train	train	NOUN
cana-6024	129	15	accuracy	accuracy	NOUN
cana-6024	129	16	(	(	PUNCT
cana-6024	129	17	%	%	INTJ
cana-6024	129	18	)	)	PUNCT
cana-6024	129	19	validation	validation	NOUN
cana-6024	129	20	accuracy	accuracy	NOUN
cana-6024	129	21	(	(	PUNCT
cana-6024	129	22	%	%	INTJ
cana-6024	129	23	)	)	PUNCT
cana-6024	129	24	train	train	NOUN
cana-6024	129	25	loss	loss	NOUN
cana-6024	129	26	validation	validation	NOUN
cana-6024	129	27	loss	loss	NOUN
cana-6024	129	28	cnn	cnn	PROPN
cana-6024	129	29	92.1	92.1	NUM
cana-6024	129	30	90.3	90.3	NUM
cana-6024	129	31	0.19	0.19	NUM
cana-6024	129	32	0.24	0.24	NUM
cana-6024	129	33	communications	communication	NOUN
cana-6024	129	34	on	on	ADP
cana-6024	129	35	applied	apply	VERB
cana-6024	129	36	nonlinear	nonlinear	ADJ
cana-6024	129	37	analysis	analysis	NOUN
cana-6024	129	38	issn	issn	NOUN
cana-6024	129	39	:	:	PUNCT
cana-6024	129	40	1074	1074	NUM
cana-6024	129	41	-	-	PUNCT
cana-6024	129	42	133x	133x	NUM
cana-6024	129	43	vol	vol	NOUN
cana-6024	129	44	31	31	NUM
cana-6024	129	45	no	no	NOUN
cana-6024	129	46	.	.	PUNCT
cana-6024	130	1	8s	8s	PROPN
cana-6024	130	2	(	(	PUNCT
cana-6024	130	3	2024	2024	NUM
cana-6024	130	4	)	)	PUNCT
cana-6024	130	5	1149	1149	NUM
cana-6024	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	130	7	resnet-50	resnet-50	PROPN
cana-6024	130	8	97.8	97.8	NUM
cana-6024	130	9	95.8	95.8	NUM
cana-6024	130	10	0.08	0.08	NUM
cana-6024	130	11	0.14	0.14	NUM
cana-6024	130	12	u	u	NOUN
cana-6024	130	13	-	-	NOUN
cana-6024	130	14	net	net	ADJ
cana-6024	130	15	96.3	96.3	NUM
cana-6024	130	16	94.6	94.6	NUM
cana-6024	130	17	0.10	0.10	NUM
cana-6024	130	18	0.16	0.16	NUM
cana-6024	130	19	mobilenetv	mobilenetv	NOUN
cana-6024	130	20	2	2	NUM
cana-6024	130	21	94.5	94.5	NUM
cana-6024	130	22	93.1	93.1	NUM
cana-6024	130	23	0.14	0.14	NUM
cana-6024	130	24	0.18	0.18	NUM
cana-6024	130	25	the	the	DET
cana-6024	130	26	findings	finding	NOUN
cana-6024	130	27	confirm	confirm	VERB
cana-6024	130	28	that	that	SCONJ
cana-6024	130	29	resnet-50	resnet-50	PROPN
cana-6024	130	30	and	and	CCONJ
cana-6024	130	31	u	u	NOUN
cana-6024	130	32	-	-	ADJ
cana-6024	130	33	net	net	ADJ
cana-6024	130	34	generalize	generalize	VERB
cana-6024	130	35	better	well	ADV
cana-6024	130	36	than	than	ADP
cana-6024	130	37	the	the	DET
cana-6024	130	38	other	other	ADJ
cana-6024	130	39	models	model	NOUN
cana-6024	130	40	with	with	ADP
cana-6024	130	41	lesser	less	ADJ
cana-6024	130	42	degrees	degree	NOUN
cana-6024	130	43	of	of	ADP
cana-6024	130	44	validation	validation	NOUN
cana-6024	130	45	loss	loss	NOUN
cana-6024	130	46	which	which	PRON
cana-6024	130	47	indicates	indicate	VERB
cana-6024	130	48	there	there	PRON
cana-6024	130	49	was	be	VERB
cana-6024	130	50	less	less	ADV
cana-6024	130	51	overfitting	overfitting	ADJ
cana-6024	130	52	.	.	PUNCT
cana-6024	131	1	the	the	DET
cana-6024	131	2	cnn	cnn	PROPN
cana-6024	131	3	showed	show	VERB
cana-6024	131	4	signs	sign	NOUN
cana-6024	131	5	of	of	ADP
cana-6024	131	6	overfitting	overfitte	VERB
cana-6024	131	7	at	at	ADP
cana-6024	131	8	the	the	DET
cana-6024	131	9	outset	outset	NOUN
cana-6024	131	10	[	[	X
cana-6024	131	11	27	27	NUM
cana-6024	131	12	]	]	PUNCT
cana-6024	131	13	.	.	PUNCT
cana-6024	132	1	4.7	4.7	NUM
cana-6024	132	2	related	relate	VERB
cana-6024	132	3	work	work	NOUN
cana-6024	132	4	comparison	comparison	NOUN
cana-6024	132	5	we	we	PRON
cana-6024	132	6	presented	present	VERB
cana-6024	132	7	a	a	DET
cana-6024	132	8	comparison	comparison	NOUN
cana-6024	132	9	of	of	ADP
cana-6024	132	10	our	our	PRON
cana-6024	132	11	models	model	NOUN
cana-6024	132	12	to	to	PART
cana-6024	132	13	select	select	VERB
cana-6024	132	14	recent	recent	ADJ
cana-6024	132	15	work	work	NOUN
cana-6024	132	16	that	that	PRON
cana-6024	132	17	has	have	AUX
cana-6024	132	18	applied	apply	VERB
cana-6024	132	19	ai	ai	INTJ
cana-6024	132	20	and	and	CCONJ
cana-6024	132	21	specifically	specifically	ADV
cana-6024	132	22	image	image	VERB
cana-6024	132	23	data	datum	NOUN
cana-6024	132	24	or	or	CCONJ
cana-6024	132	25	electromagnetic	electromagnetic	ADJ
cana-6024	132	26	techniques	technique	NOUN
cana-6024	132	27	for	for	ADP
cana-6024	132	28	crack	crack	NOUN
cana-6024	132	29	detection	detection	NOUN
cana-6024	132	30	in	in	ADP
cana-6024	132	31	concrete	concrete	ADJ
cana-6024	132	32	.	.	PUNCT
cana-6024	133	1	table	table	NOUN
cana-6024	133	2	5	5	NUM
cana-6024	133	3	:	:	PUNCT
cana-6024	133	4	comparison	comparison	NOUN
cana-6024	133	5	with	with	ADP
cana-6024	133	6	related	related	ADJ
cana-6024	133	7	work	work	NOUN
cana-6024	133	8	study	study	NOUN
cana-6024	133	9	method	method	NOUN
cana-6024	133	10	used	use	VERB
cana-6024	133	11	accuracy	accuracy	NOUN
cana-6024	133	12	(	(	PUNCT
cana-6024	133	13	%	%	INTJ
cana-6024	133	14	)	)	PUNCT
cana-6024	133	15	iou	iou	NOUN
cana-6024	133	16	(	(	PUNCT
cana-6024	133	17	%	%	INTJ
cana-6024	133	18	)	)	PUNCT
cana-6024	133	19	real	real	ADJ
cana-6024	133	20	-	-	PUNCT
cana-6024	133	21	time	time	NOUN
cana-6024	133	22	capability	capability	NOUN
cana-6024	133	23	li	li	PROPN
cana-6024	133	24	et	et	PROPN
cana-6024	133	25	al	al	PROPN
cana-6024	133	26	.	.	PROPN
cana-6024	134	1	(	(	PUNCT
cana-6024	134	2	2021	2021	NUM
cana-6024	134	3	)	)	PUNCT
cana-6024	134	4	svm	svm	VERB
cana-6024	134	5	on	on	ADP
cana-6024	134	6	em	em	PRON
cana-6024	134	7	data	data	VERB
cana-6024	134	8	83.6	83.6	NUM
cana-6024	134	9	—	—	PUNCT
cana-6024	134	10	no	no	DET
cana-6024	134	11	kaur	kaur	NOUN
cana-6024	134	12	et	et	PROPN
cana-6024	134	13	al	al	PROPN
cana-6024	134	14	.	.	PROPN
cana-6024	135	1	(	(	PUNCT
cana-6024	135	2	2022	2022	NUM
cana-6024	135	3	)	)	PUNCT
cana-6024	135	4	cnn	cnn	PROPN
cana-6024	135	5	on	on	ADP
cana-6024	135	6	rgb	rgb	PROPN
cana-6024	135	7	89.2	89.2	NUM
cana-6024	135	8	72.3	72.3	NUM
cana-6024	135	9	moderate	moderate	ADJ
cana-6024	135	10	park	park	NOUN
cana-6024	135	11	et	et	PROPN
cana-6024	135	12	al	al	PROPN
cana-6024	135	13	.	.	PROPN
cana-6024	136	1	(	(	PUNCT
cana-6024	136	2	2023	2023	NUM
cana-6024	136	3	)	)	PUNCT
cana-6024	136	4	hybrid	hybrid	NOUN
cana-6024	136	5	dl+em	dl+em	NOUN
cana-6024	136	6	92.5	92.5	NUM
cana-6024	136	7	80.1	80.1	NUM
cana-6024	136	8	partial	partial	NOUN
cana-6024	136	9	our	our	PRON
cana-6024	136	10	work	work	NOUN
cana-6024	136	11	(	(	PUNCT
cana-6024	136	12	resnet-50	resnet-50	PROPN
cana-6024	136	13	+	+	CCONJ
cana-6024	136	14	em	em	PRON
cana-6024	136	15	)	)	PUNCT
cana-6024	136	16	resnet-50	resnet-50	PROPN
cana-6024	136	17	96.2	96.2	NUM
cana-6024	136	18	86.4	86.4	NUM
cana-6024	136	19	limited	limit	VERB
cana-6024	136	20	our	our	PRON
cana-6024	136	21	work	work	NOUN
cana-6024	136	22	(	(	PUNCT
cana-6024	136	23	mobilenetv2	mobilenetv2	PROPN
cana-6024	136	24	+	+	CCONJ
cana-6024	136	25	em	em	PRON
cana-6024	136	26	)	)	PUNCT
cana-6024	136	27	mobilenetv2	mobilenetv2	NOUN
cana-6024	137	1	94.1	94.1	NUM
cana-6024	137	2	84.6	84.6	NUM
cana-6024	137	3	yes	yes	INTJ
cana-6024	137	4	(	(	PUNCT
cana-6024	137	5	fastest	fast	ADJ
cana-6024	137	6	)	)	PUNCT
cana-6024	137	7	our	our	PRON
cana-6024	137	8	work	work	NOUN
cana-6024	137	9	(	(	PUNCT
cana-6024	137	10	u	u	NOUN
cana-6024	137	11	-	-	NOUN
cana-6024	137	12	net	net	ADJ
cana-6024	137	13	+	+	CCONJ
cana-6024	137	14	em	em	PRON
cana-6024	137	15	)	)	PUNCT
cana-6024	137	16	u	u	NOUN
cana-6024	137	17	-	-	NOUN
cana-6024	137	18	net	net	ADJ
cana-6024	137	19	95.7	95.7	NUM
cana-6024	137	20	89.2	89.2	NUM
cana-6024	137	21	moderate	moderate	ADJ
cana-6024	137	22	in	in	ADP
cana-6024	137	23	contrast	contrast	NOUN
cana-6024	137	24	to	to	ADP
cana-6024	137	25	prior	prior	ADJ
cana-6024	137	26	studies	study	NOUN
cana-6024	137	27	:	:	PUNCT
cana-6024	137	28	●	●	NUM
cana-6024	137	29	models	model	NOUN
cana-6024	137	30	were	be	AUX
cana-6024	137	31	applicable	applicable	ADJ
cana-6024	137	32	here	here	ADV
cana-6024	137	33	much	much	ADV
cana-6024	137	34	better	well	ADJ
cana-6024	137	35	than	than	ADP
cana-6024	137	36	in	in	ADP
cana-6024	137	37	past	past	ADJ
cana-6024	137	38	em	em	NOUN
cana-6024	137	39	-	-	PUNCT
cana-6024	137	40	only	only	ADV
cana-6024	137	41	classifiers	classifier	NOUN
cana-6024	137	42	(	(	PUNCT
cana-6024	137	43	see	see	VERB
cana-6024	137	44	svmbased	svmbase	VERB
cana-6024	137	45	models	model	NOUN
cana-6024	137	46	)	)	PUNCT
cana-6024	137	47	communications	communication	NOUN
cana-6024	137	48	on	on	ADP
cana-6024	137	49	applied	apply	VERB
cana-6024	137	50	nonlinear	nonlinear	ADJ
cana-6024	137	51	analysis	analysis	NOUN
cana-6024	137	52	issn	issn	NOUN
cana-6024	137	53	:	:	PUNCT
cana-6024	137	54	1074	1074	NUM
cana-6024	137	55	-	-	PUNCT
cana-6024	137	56	133x	133x	NUM
cana-6024	137	57	vol	vol	NOUN
cana-6024	137	58	31	31	NUM
cana-6024	137	59	no	no	NOUN
cana-6024	137	60	.	.	PUNCT
cana-6024	138	1	8s	8s	PROPN
cana-6024	138	2	(	(	PUNCT
cana-6024	138	3	2024	2024	NUM
cana-6024	138	4	)	)	PUNCT
cana-6024	138	5	1150	1150	NUM
cana-6024	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	139	1	●	●	PUNCT
cana-6024	139	2	resnet-50	resnet-50	PROPN
cana-6024	139	3	had	have	VERB
cana-6024	139	4	over	over	ADP
cana-6024	139	5	a	a	DET
cana-6024	139	6	6	6	NUM
cana-6024	139	7	percent	percent	NOUN
cana-6024	139	8	jump	jump	NOUN
cana-6024	139	9	in	in	ADP
cana-6024	139	10	accuracy	accuracy	NOUN
cana-6024	139	11	compared	compare	VERB
cana-6024	139	12	to	to	ADP
cana-6024	139	13	the	the	DET
cana-6024	139	14	hybrid	hybrid	ADJ
cana-6024	139	15	methods	method	NOUN
cana-6024	139	16	in	in	ADP
cana-6024	139	17	park	park	NOUN
cana-6024	139	18	,	,	PUNCT
cana-6024	139	19	et	et	PROPN
cana-6024	139	20	al	al	PROPN
cana-6024	139	21	.	.	PROPN
cana-6024	140	1	(	(	PUNCT
cana-6024	140	2	2023	2023	NUM
cana-6024	140	3	)	)	PUNCT
cana-6024	140	4	.	.	PUNCT
cana-6024	141	1	●	●	PUNCT
cana-6024	141	2	u	u	NOUN
cana-6024	141	3	-	-	NOUN
cana-6024	141	4	net	net	NOUN
cana-6024	141	5	was	be	AUX
cana-6024	141	6	able	able	ADJ
cana-6024	141	7	to	to	PART
cana-6024	141	8	provide	provide	VERB
cana-6024	141	9	better	well	ADJ
cana-6024	141	10	segmentation	segmentation	NOUN
cana-6024	141	11	than	than	ADP
cana-6024	141	12	image	image	NOUN
cana-6024	141	13	-	-	PUNCT
cana-6024	141	14	only	only	ADV
cana-6024	141	15	cnns	cnn	NOUN
cana-6024	141	16	in	in	ADP
cana-6024	141	17	kaur	kaur	PROPN
cana-6024	141	18	et	et	PROPN
cana-6024	141	19	al	al	PROPN
cana-6024	141	20	.	.	PROPN
cana-6024	142	1	(	(	PUNCT
cana-6024	142	2	2022	2022	NUM
cana-6024	142	3	)	)	PUNCT
cana-6024	143	1	and	and	CCONJ
cana-6024	143	2	increased	increase	VERB
cana-6024	143	3	the	the	DET
cana-6024	143	4	iou	iou	NOUN
cana-6024	143	5	by	by	ADP
cana-6024	143	6	16.9	16.9	NUM
cana-6024	143	7	%	%	NOUN
cana-6024	143	8	.	.	PUNCT
cana-6024	144	1	●	●	PUNCT
cana-6024	144	2	mobilenetv2	mobilenetv2	PROPN
cana-6024	144	3	had	have	VERB
cana-6024	144	4	the	the	DET
cana-6024	144	5	best	good	ADJ
cana-6024	144	6	performance	performance	NOUN
cana-6024	144	7	-	-	PUNCT
cana-6024	144	8	latency	latency	NOUN
cana-6024	144	9	balance	balance	NOUN
cana-6024	144	10	and	and	CCONJ
cana-6024	144	11	presented	present	VERB
cana-6024	144	12	a	a	DET
cana-6024	144	13	way	way	NOUN
cana-6024	144	14	to	to	PART
cana-6024	144	15	complete	complete	VERB
cana-6024	144	16	clack	clack	NOUN
cana-6024	144	17	detection	detection	NOUN
cana-6024	144	18	in	in	ADP
cana-6024	144	19	real	real	ADJ
cana-6024	144	20	-	-	PUNCT
cana-6024	144	21	time	time	NOUN
cana-6024	144	22	on	on	ADP
cana-6024	144	23	site	site	NOUN
cana-6024	144	24	.	.	PUNCT
cana-6024	145	1	figure	figure	VERB
cana-6024	145	2	4	4	NUM
cana-6024	145	3	:	:	PUNCT
cana-6024	145	4	“	"	PUNCT
cana-6024	145	5	automated	automated	ADJ
cana-6024	145	6	vision	vision	NOUN
cana-6024	145	7	-	-	PUNCT
cana-6024	145	8	based	base	VERB
cana-6024	145	9	detection	detection	NOUN
cana-6024	145	10	of	of	ADP
cana-6024	145	11	cracks	crack	NOUN
cana-6024	145	12	on	on	ADP
cana-6024	145	13	concrete	concrete	ADJ
cana-6024	145	14	surfaces	surface	NOUN
cana-6024	145	15	using	use	VERB
cana-6024	145	16	a	a	DET
cana-6024	145	17	deep	deep	ADJ
cana-6024	145	18	learning	learning	NOUN
cana-6024	145	19	technique	technique	NOUN
cana-6024	145	20	”	"	PUNCT
cana-6024	145	21	4.8	4.8	NUM
cana-6024	145	22	key	key	ADJ
cana-6024	145	23	observations	observation	NOUN
cana-6024	145	24	and	and	CCONJ
cana-6024	145	25	insights	insight	NOUN
cana-6024	145	26	1	1	NUM
cana-6024	145	27	.	.	PUNCT
cana-6024	145	28	algorithmic	algorithmic	ADJ
cana-6024	145	29	superiority	superiority	NOUN
cana-6024	145	30	:	:	PUNCT
cana-6024	145	31	deep	deep	ADJ
cana-6024	145	32	cnns	cnn	NOUN
cana-6024	145	33	including	include	VERB
cana-6024	145	34	resnet-50	resnet-50	PROPN
cana-6024	145	35	enabled	enable	VERB
cana-6024	145	36	increased	increase	VERB
cana-6024	145	37	accuracy	accuracy	NOUN
cana-6024	145	38	through	through	ADP
cana-6024	145	39	depth	depth	NOUN
cana-6024	145	40	and	and	CCONJ
cana-6024	145	41	residual	residual	ADJ
cana-6024	145	42	learning	learning	NOUN
cana-6024	145	43	properties	property	NOUN
cana-6024	145	44	to	to	PART
cana-6024	145	45	accommodate	accommodate	VERB
cana-6024	145	46	slightly	slightly	ADV
cana-6024	145	47	visible	visible	ADJ
cana-6024	145	48	em	em	PRON
cana-6024	145	49	crack	crack	VERB
cana-6024	145	50	features	feature	NOUN
cana-6024	145	51	.	.	PUNCT
cana-6024	146	1	2	2	X
cana-6024	146	2	.	.	X
cana-6024	146	3	segmentation	segmentation	NOUN
cana-6024	146	4	capability	capability	NOUN
cana-6024	146	5	:	:	PUNCT
cana-6024	146	6	u	u	NOUN
cana-6024	146	7	-	-	NOUN
cana-6024	146	8	net	net	ADJ
cana-6024	146	9	provided	provide	VERB
cana-6024	146	10	pixel	pixel	NOUN
cana-6024	146	11	level	level	NOUN
cana-6024	146	12	crack	crack	NOUN
cana-6024	146	13	localization	localization	NOUN
cana-6024	146	14	would	would	AUX
cana-6024	146	15	be	be	AUX
cana-6024	146	16	important	important	ADJ
cana-6024	146	17	for	for	ADP
cana-6024	146	18	structural	structural	ADJ
cana-6024	146	19	engineers	engineer	NOUN
cana-6024	146	20	and	and	CCONJ
cana-6024	146	21	the	the	DET
cana-6024	146	22	u	u	NOUN
cana-6024	146	23	-	-	NOUN
cana-6024	146	24	net	net	ADJ
cana-6024	146	25	with	with	ADP
cana-6024	146	26	skip	skip	ADJ
cana-6024	146	27	connections	connection	NOUN
cana-6024	146	28	would	would	AUX
cana-6024	146	29	maintain	maintain	VERB
cana-6024	146	30	resolution	resolution	NOUN
cana-6024	146	31	[	[	X
cana-6024	146	32	28	28	NUM
cana-6024	146	33	]	]	PUNCT
cana-6024	146	34	.	.	PUNCT
cana-6024	147	1	3	3	X
cana-6024	147	2	.	.	X
cana-6024	147	3	real	real	ADJ
cana-6024	147	4	-	-	PUNCT
cana-6024	147	5	time	time	NOUN
cana-6024	147	6	capability	capability	NOUN
cana-6024	147	7	:	:	PUNCT
cana-6024	147	8	mobilenetv2	mobilenetv2	PROPN
cana-6024	147	9	was	be	AUX
cana-6024	147	10	able	able	ADJ
cana-6024	147	11	to	to	PART
cana-6024	147	12	achieve	achieve	VERB
cana-6024	147	13	results	result	NOUN
cana-6024	147	14	quite	quite	ADV
cana-6024	147	15	consistent	consistent	ADJ
cana-6024	147	16	with	with	ADP
cana-6024	147	17	larger	large	ADJ
cana-6024	147	18	models	model	NOUN
cana-6024	147	19	,	,	PUNCT
cana-6024	147	20	but	but	CCONJ
cana-6024	147	21	at	at	ADP
cana-6024	147	22	a	a	DET
cana-6024	147	23	lower	low	ADJ
cana-6024	147	24	cost	cost	NOUN
cana-6024	147	25	with	with	ADP
cana-6024	147	26	less	less	ADJ
cana-6024	147	27	latency	latency	NOUN
cana-6024	147	28	,	,	PUNCT
cana-6024	147	29	which	which	PRON
cana-6024	147	30	would	would	AUX
cana-6024	147	31	be	be	AUX
cana-6024	147	32	suitable	suitable	ADJ
cana-6024	147	33	for	for	ADP
cana-6024	147	34	embedded	embed	VERB
cana-6024	147	35	systems	system	NOUN
cana-6024	147	36	.	.	PUNCT
cana-6024	148	1	4	4	X
cana-6024	148	2	.	.	X
cana-6024	148	3	generalizability	generalizability	NOUN
cana-6024	148	4	:	:	PUNCT
cana-6024	148	5	the	the	DET
cana-6024	148	6	inclusion	inclusion	NOUN
cana-6024	148	7	of	of	ADP
cana-6024	148	8	data	datum	NOUN
cana-6024	148	9	augmentation	augmentation	NOUN
cana-6024	148	10	,	,	PUNCT
cana-6024	148	11	early	early	ADJ
cana-6024	148	12	stopping	stopping	NOUN
cana-6024	148	13	and	and	CCONJ
cana-6024	148	14	dropout	dropout	NOUN
cana-6024	148	15	help	help	NOUN
cana-6024	148	16	minimize	minimize	VERB
cana-6024	148	17	overfitting	overfitting	NOUN
cana-6024	148	18	,	,	PUNCT
cana-6024	148	19	which	which	PRON
cana-6024	148	20	from	from	ADP
cana-6024	148	21	the	the	DET
cana-6024	148	22	still	still	ADV
cana-6024	148	23	-	-	PUNCT
cana-6024	148	24	strong	strong	ADJ
cana-6024	148	25	test	test	NOUN
cana-6024	148	26	set	set	NOUN
cana-6024	148	27	performance	performance	NOUN
cana-6024	148	28	reflects	reflect	VERB
cana-6024	148	29	good	good	ADJ
cana-6024	148	30	generalizability	generalizability	NOUN
cana-6024	148	31	.	.	PUNCT
cana-6024	149	1	5	5	X
cana-6024	149	2	.	.	X
cana-6024	149	3	electromagnetic	electromagnetic	ADJ
cana-6024	149	4	imaging	imaging	NOUN
cana-6024	149	5	advantage	advantage	NOUN
cana-6024	149	6	:	:	PUNCT
cana-6024	149	7	em	em	PRON
cana-6024	149	8	images	image	NOUN
cana-6024	149	9	have	have	VERB
cana-6024	149	10	surface	surface	NOUN
cana-6024	149	11	and	and	CCONJ
cana-6024	149	12	internal	internal	ADJ
cana-6024	149	13	defect	defect	NOUN
cana-6024	149	14	qualities	quality	NOUN
cana-6024	149	15	.	.	PUNCT
cana-6024	150	1	when	when	SCONJ
cana-6024	150	2	processing	process	VERB
cana-6024	150	3	em	em	PRON
cana-6024	150	4	images	image	NOUN
cana-6024	150	5	through	through	ADP
cana-6024	150	6	a	a	DET
cana-6024	150	7	deep	deep	ADJ
cana-6024	150	8	learning	learning	NOUN
cana-6024	150	9	protocol	protocol	NOUN
cana-6024	150	10	,	,	PUNCT
cana-6024	150	11	detection	detection	NOUN
cana-6024	150	12	rates	rate	NOUN
cana-6024	150	13	performed	perform	VERB
cana-6024	150	14	better	well	ADV
cana-6024	150	15	when	when	SCONJ
cana-6024	150	16	comparing	compare	VERB
cana-6024	150	17	image	image	NOUN
cana-6024	150	18	alone	alone	ADV
cana-6024	150	19	.	.	PUNCT
cana-6024	151	1	communications	communication	NOUN
cana-6024	151	2	on	on	ADP
cana-6024	151	3	applied	apply	VERB
cana-6024	151	4	nonlinear	nonlinear	ADJ
cana-6024	151	5	analysis	analysis	NOUN
cana-6024	151	6	issn	issn	NOUN
cana-6024	151	7	:	:	PUNCT
cana-6024	151	8	1074	1074	NUM
cana-6024	151	9	-	-	PUNCT
cana-6024	151	10	133x	133x	NUM
cana-6024	151	11	vol	vol	NOUN
cana-6024	151	12	31	31	NUM
cana-6024	151	13	no	no	NOUN
cana-6024	151	14	.	.	PUNCT
cana-6024	152	1	8s	8s	PROPN
cana-6024	152	2	(	(	PUNCT
cana-6024	152	3	2024	2024	NUM
cana-6024	152	4	)	)	PUNCT
cana-6024	152	5	1151	1151	NUM
cana-6024	152	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	152	7	4.9	4.9	NUM
cana-6024	152	8	limitations	limitation	NOUN
cana-6024	152	9	●	●	NOUN
cana-6024	152	10	in	in	ADP
cana-6024	152	11	order	order	NOUN
cana-6024	152	12	to	to	PART
cana-6024	152	13	undertake	undertake	VERB
cana-6024	152	14	em	em	PRON
cana-6024	152	15	imaging	imaging	NOUN
cana-6024	152	16	,	,	PUNCT
cana-6024	152	17	specialised	specialised	ADJ
cana-6024	152	18	tools	tool	NOUN
cana-6024	152	19	are	be	AUX
cana-6024	152	20	often	often	ADV
cana-6024	152	21	required	require	VERB
cana-6024	152	22	,	,	PUNCT
cana-6024	152	23	and	and	CCONJ
cana-6024	152	24	may	may	AUX
cana-6024	152	25	not	not	PART
cana-6024	152	26	always	always	ADV
cana-6024	152	27	be	be	AUX
cana-6024	152	28	accessible	accessible	ADJ
cana-6024	152	29	on	on	ADP
cana-6024	152	30	-	-	PUNCT
cana-6024	152	31	the	the	DET
cana-6024	152	32	-	-	PUNCT
cana-6024	152	33	scene	scene	NOUN
cana-6024	152	34	.	.	PUNCT
cana-6024	153	1	●	●	PUNCT
cana-6024	153	2	the	the	DET
cana-6024	153	3	model	model	NOUN
cana-6024	153	4	was	be	AUX
cana-6024	153	5	tested	test	VERB
cana-6024	153	6	in	in	ADP
cana-6024	153	7	noise	noise	NOUN
cana-6024	153	8	-	-	PUNCT
cana-6024	153	9	free	free	ADJ
cana-6024	153	10	em	em	PRON
cana-6024	153	11	environments	environment	NOUN
cana-6024	153	12	,	,	PUNCT
cana-6024	153	13	controlled	control	VERB
cana-6024	153	14	and	and	CCONJ
cana-6024	153	15	managed	manage	VERB
cana-6024	153	16	,	,	PUNCT
cana-6024	153	17	but	but	CCONJ
cana-6024	153	18	it	it	PRON
cana-6024	153	19	is	be	AUX
cana-6024	153	20	important	important	ADJ
cana-6024	153	21	to	to	PART
cana-6024	153	22	note	note	VERB
cana-6024	153	23	that	that	DET
cana-6024	153	24	noise	noise	NOUN
cana-6024	153	25	from	from	ADP
cana-6024	153	26	the	the	DET
cana-6024	153	27	environment	environment	NOUN
cana-6024	153	28	or	or	CCONJ
cana-6024	153	29	inhomogeneity	inhomogeneity	NOUN
cana-6024	153	30	in	in	ADP
cana-6024	153	31	the	the	DET
cana-6024	153	32	material	material	NOUN
cana-6024	153	33	may	may	AUX
cana-6024	153	34	alter	alter	VERB
cana-6024	153	35	accuracy	accuracy	NOUN
cana-6024	154	1	[	[	X
cana-6024	154	2	29	29	NUM
cana-6024	154	3	]	]	PUNCT
cana-6024	154	4	.	.	PUNCT
cana-6024	155	1	●	●	PUNCT
cana-6024	155	2	model	model	NOUN
cana-6024	155	3	inference	inference	NOUN
cana-6024	155	4	times	time	NOUN
cana-6024	155	5	mapped	map	VERB
cana-6024	155	6	on	on	ADP
cana-6024	155	7	gpu	gpu	PROPN
cana-6024	155	8	,	,	PUNCT
cana-6024	155	9	and	and	CCONJ
cana-6024	155	10	would	would	AUX
cana-6024	155	11	vary	vary	VERB
cana-6024	155	12	,	,	PUNCT
cana-6024	155	13	if	if	SCONJ
cana-6024	155	14	inference	inference	NOUN
cana-6024	155	15	was	be	AUX
cana-6024	155	16	conducted	conduct	VERB
cana-6024	155	17	on	on	ADP
cana-6024	155	18	mobile	mobile	ADJ
cana-6024	155	19	or	or	CCONJ
cana-6024	155	20	edge	edge	NOUN
cana-6024	155	21	devices	device	NOUN
cana-6024	155	22	.	.	PUNCT
cana-6024	156	1	4.10	4.10	NUM
cana-6024	156	2	future	future	ADJ
cana-6024	156	3	improvements	improvement	NOUN
cana-6024	156	4	●	●	NUM
cana-6024	156	5	studies	study	NOUN
cana-6024	156	6	have	have	AUX
cana-6024	156	7	shown	show	VERB
cana-6024	156	8	that	that	DET
cana-6024	156	9	performance	performance	NOUN
cana-6024	156	10	from	from	ADP
cana-6024	156	11	a	a	DET
cana-6024	156	12	model	model	NOUN
cana-6024	156	13	will	will	AUX
cana-6024	156	14	increase	increase	VERB
cana-6024	156	15	if	if	SCONJ
cana-6024	156	16	data	datum	NOUN
cana-6024	156	17	from	from	ADP
cana-6024	156	18	multiple	multiple	ADJ
cana-6024	156	19	modalities	modality	NOUN
cana-6024	156	20	is	be	AUX
cana-6024	156	21	used	use	VERB
cana-6024	156	22	(	(	PUNCT
cana-6024	156	23	em	em	PRON
cana-6024	156	24	+	+	NUM
cana-6024	156	25	visual	visual	ADJ
cana-6024	156	26	images	image	NOUN
cana-6024	156	27	)	)	PUNCT
cana-6024	156	28	.	.	PUNCT
cana-6024	157	1	●	●	PUNCT
cana-6024	157	2	model	model	NOUN
cana-6024	157	3	compression	compression	NOUN
cana-6024	157	4	(	(	PUNCT
cana-6024	157	5	pruning	pruning	NOUN
cana-6024	157	6	,	,	PUNCT
cana-6024	157	7	quantization	quantization	NOUN
cana-6024	157	8	,	,	PUNCT
cana-6024	157	9	etc	etc	X
cana-6024	157	10	...	...	X
cana-6024	157	11	)	)	PUNCT
cana-6024	157	12	can	can	AUX
cana-6024	157	13	be	be	AUX
cana-6024	157	14	employed	employ	VERB
cana-6024	157	15	to	to	PART
cana-6024	157	16	help	help	VERB
cana-6024	157	17	lower	low	ADJ
cana-6024	157	18	latency	latency	NOUN
cana-6024	157	19	without	without	ADP
cana-6024	157	20	losing	lose	VERB
cana-6024	157	21	accuracy	accuracy	NOUN
cana-6024	157	22	.	.	PUNCT
cana-6024	158	1	●	●	PUNCT
cana-6024	158	2	the	the	DET
cana-6024	158	3	data	datum	NOUN
cana-6024	158	4	can	can	AUX
cana-6024	158	5	be	be	AUX
cana-6024	158	6	made	make	VERB
cana-6024	158	7	more	more	ADV
cana-6024	158	8	robust	robust	ADJ
cana-6024	158	9	and	and	CCONJ
cana-6024	158	10	versatile	versatile	ADJ
cana-6024	158	11	by	by	ADP
cana-6024	158	12	enhancing	enhance	VERB
cana-6024	158	13	the	the	DET
cana-6024	158	14	size	size	NOUN
cana-6024	158	15	of	of	ADP
cana-6024	158	16	the	the	DET
cana-6024	158	17	dataset	dataset	NOUN
cana-6024	158	18	further	far	ADV
cana-6024	158	19	,	,	PUNCT
cana-6024	158	20	by	by	ADP
cana-6024	158	21	adding	add	VERB
cana-6024	158	22	cracks	crack	NOUN
cana-6024	158	23	from	from	ADP
cana-6024	158	24	different	different	ADJ
cana-6024	158	25	variables	variable	NOUN
cana-6024	158	26	,	,	PUNCT
cana-6024	158	27	which	which	PRON
cana-6024	158	28	would	would	AUX
cana-6024	158	29	help	help	VERB
cana-6024	158	30	with	with	ADP
cana-6024	158	31	logistical	logistical	ADJ
cana-6024	158	32	perspectives	perspective	NOUN
cana-6024	158	33	,	,	PUNCT
cana-6024	158	34	as	as	ADV
cana-6024	158	35	well	well	ADV
cana-6024	158	36	as	as	ADP
cana-6024	158	37	,	,	PUNCT
cana-6024	158	38	multiple	multiple	ADJ
cana-6024	158	39	physical	physical	ADJ
cana-6024	158	40	variables	variable	NOUN
cana-6024	158	41	[	[	X
cana-6024	158	42	30	30	NUM
cana-6024	158	43	]	]	PUNCT
cana-6024	158	44	.	.	PUNCT
cana-6024	159	1	v.	v.	ADP
cana-6024	159	2	conclusion	conclusion	NOUN
cana-6024	159	3	the	the	DET
cana-6024	159	4	study	study	NOUN
cana-6024	159	5	provides	provide	VERB
cana-6024	159	6	the	the	DET
cana-6024	159	7	detailed	detailed	ADJ
cana-6024	159	8	investigation	investigation	NOUN
cana-6024	159	9	of	of	ADP
cana-6024	159	10	combining	combine	VERB
cana-6024	159	11	the	the	DET
cana-6024	159	12	deep	deep	ADJ
cana-6024	159	13	learning	learning	NOUN
cana-6024	159	14	algorithms	algorithm	NOUN
cana-6024	159	15	with	with	ADP
cana-6024	159	16	electromagnetic	electromagnetic	ADJ
cana-6024	159	17	(	(	PUNCT
cana-6024	159	18	em	em	NOUN
cana-6024	159	19	)	)	PUNCT
cana-6024	159	20	imaging	image	VERB
cana-6024	159	21	into	into	ADP
cana-6024	159	22	the	the	DET
cana-6024	159	23	real	real	ADJ
cana-6024	159	24	-	-	PUNCT
cana-6024	159	25	time	time	NOUN
cana-6024	159	26	crack	crack	NOUN
cana-6024	159	27	detection	detection	NOUN
cana-6024	159	28	in	in	ADP
cana-6024	159	29	concrete	concrete	ADJ
cana-6024	159	30	structures	structure	NOUN
cana-6024	159	31	.	.	PUNCT
cana-6024	160	1	the	the	DET
cana-6024	160	2	project	project	NOUN
cana-6024	160	3	fills	fill	VERB
cana-6024	160	4	a	a	DET
cana-6024	160	5	much	much	ADV
cana-6024	160	6	needed	need	VERB
cana-6024	160	7	niche	niche	NOUN
cana-6024	160	8	in	in	ADP
cana-6024	160	9	structural	structural	ADJ
cana-6024	160	10	health	health	NOUN
cana-6024	160	11	monitoring	monitoring	NOUN
cana-6024	160	12	in	in	ADP
cana-6024	160	13	that	that	SCONJ
cana-6024	160	14	em	em	PRON
cana-6024	160	15	imaging	imaging	NOUN
cana-6024	160	16	has	have	VERB
cana-6024	160	17	the	the	DET
cana-6024	160	18	ability	ability	NOUN
cana-6024	160	19	to	to	PART
cana-6024	160	20	scan	scan	VERB
cana-6024	160	21	below	below	ADP
cana-6024	160	22	the	the	DET
cana-6024	160	23	surface	surface	NOUN
cana-6024	160	24	due	due	ADP
cana-6024	160	25	to	to	ADP
cana-6024	160	26	the	the	DET
cana-6024	160	27	fact	fact	NOUN
cana-6024	160	28	that	that	SCONJ
cana-6024	160	29	the	the	DET
cana-6024	160	30	em	em	PROPN
cana-6024	160	31	field	field	NOUN
cana-6024	160	32	travels	travel	VERB
cana-6024	160	33	much	much	ADV
cana-6024	160	34	further	far	ADV
cana-6024	160	35	into	into	ADP
cana-6024	160	36	the	the	DET
cana-6024	160	37	ground	ground	NOUN
cana-6024	160	38	than	than	SCONJ
cana-6024	160	39	most	most	ADJ
cana-6024	160	40	other	other	ADJ
cana-6024	160	41	methods	method	NOUN
cana-6024	160	42	of	of	ADP
cana-6024	160	43	surface	surface	NOUN
cana-6024	160	44	scanning	scanning	NOUN
cana-6024	160	45	and	and	CCONJ
cana-6024	160	46	the	the	DET
cana-6024	160	47	advanced	advanced	ADJ
cana-6024	160	48	neural	neural	ADJ
cana-6024	160	49	networks	network	NOUN
cana-6024	160	50	have	have	VERB
cana-6024	160	51	pattern	pattern	NOUN
cana-6024	160	52	recognition	recognition	NOUN
cana-6024	160	53	capabilities	capability	NOUN
cana-6024	160	54	than	than	ADP
cana-6024	160	55	individual	individual	ADJ
cana-6024	160	56	nodes	node	NOUN
cana-6024	160	57	and	and	CCONJ
cana-6024	160	58	groupings	grouping	NOUN
cana-6024	160	59	.	.	PUNCT
cana-6024	161	1	by	by	ADP
cana-6024	161	2	applying	apply	VERB
cana-6024	161	3	and	and	CCONJ
cana-6024	161	4	comparing	compare	VERB
cana-6024	161	5	the	the	DET
cana-6024	161	6	accuracy	accuracy	NOUN
cana-6024	161	7	of	of	ADP
cana-6024	161	8	the	the	DET
cana-6024	161	9	classification	classification	NOUN
cana-6024	161	10	methods	method	NOUN
cana-6024	161	11	and	and	CCONJ
cana-6024	161	12	performance	performance	NOUN
cana-6024	161	13	in	in	ADP
cana-6024	161	14	segmentation	segmentation	NOUN
cana-6024	161	15	of	of	ADP
cana-6024	161	16	four	four	NUM
cana-6024	161	17	deep	deep	ADJ
cana-6024	161	18	learning	learning	NOUN
cana-6024	161	19	models	model	NOUN
cana-6024	161	20	,	,	PUNCT
cana-6024	161	21	i.e.	i.e.	X
cana-6024	161	22	,	,	PUNCT
cana-6024	161	23	cnn	cnn	PROPN
cana-6024	161	24	,	,	PUNCT
cana-6024	161	25	resnet-50	resnet-50	PROPN
cana-6024	161	26	,	,	PUNCT
cana-6024	161	27	u	u	NOUN
cana-6024	161	28	-	-	NOUN
cana-6024	161	29	net	net	ADJ
cana-6024	161	30	and	and	CCONJ
cana-6024	161	31	mobilenetv2	mobilenetv2	PROPN
cana-6024	161	32	,	,	PUNCT
cana-6024	161	33	we	we	PRON
cana-6024	161	34	were	be	AUX
cana-6024	161	35	able	able	ADJ
cana-6024	161	36	to	to	PART
cana-6024	161	37	go	go	VERB
cana-6024	161	38	through	through	ADP
cana-6024	161	39	the	the	DET
cana-6024	161	40	test	test	NOUN
cana-6024	161	41	to	to	PART
cana-6024	161	42	find	find	VERB
cana-6024	161	43	difference	difference	NOUN
cana-6024	161	44	in	in	ADP
cana-6024	161	45	classification	classification	NOUN
cana-6024	161	46	accuracies	accuracy	NOUN
cana-6024	161	47	and	and	CCONJ
cana-6024	161	48	capabilities	capability	NOUN
cana-6024	161	49	of	of	ADP
cana-6024	161	50	segmenting	segment	VERB
cana-6024	161	51	an	an	DET
cana-6024	161	52	image	image	NOUN
cana-6024	161	53	and	and	CCONJ
cana-6024	161	54	using	use	VERB
cana-6024	161	55	the	the	DET
cana-6024	161	56	platform	platform	NOUN
cana-6024	161	57	in	in	ADP
cana-6024	161	58	real	real	ADJ
cana-6024	161	59	-	-	PUNCT
cana-6024	161	60	time	time	NOUN
cana-6024	161	61	.	.	PUNCT
cana-6024	162	1	the	the	DET
cana-6024	162	2	best	good	ADJ
cana-6024	162	3	classification	classification	NOUN
cana-6024	162	4	result	result	NOUN
cana-6024	162	5	was	be	AUX
cana-6024	162	6	achieved	achieve	VERB
cana-6024	162	7	by	by	ADP
cana-6024	162	8	resnet-50	resnet-50	PROPN
cana-6024	162	9	,	,	PUNCT
cana-6024	162	10	which	which	PRON
cana-6024	162	11	has	have	AUX
cana-6024	162	12	outperformed	outperform	VERB
cana-6024	162	13	the	the	DET
cana-6024	162	14	other	other	ADJ
cana-6024	162	15	tested	test	VERB
cana-6024	162	16	models	model	NOUN
cana-6024	162	17	,	,	PUNCT
cana-6024	162	18	and	and	CCONJ
cana-6024	162	19	u	u	NOUN
cana-6024	162	20	-	-	NOUN
cana-6024	162	21	net	net	NOUN
cana-6024	162	22	showed	show	VERB
cana-6024	162	23	the	the	DET
cana-6024	162	24	best	good	ADJ
cana-6024	162	25	pixellevel	pixellevel	ADJ
cana-6024	162	26	crack	crack	NOUN
cana-6024	162	27	localization	localization	NOUN
cana-6024	162	28	.	.	PUNCT
cana-6024	163	1	although	although	SCONJ
cana-6024	163	2	not	not	PART
cana-6024	163	3	as	as	ADV
cana-6024	163	4	precise	precise	ADJ
cana-6024	163	5	,	,	PUNCT
cana-6024	163	6	mobilenetv2	mobilenetv2	PROPN
cana-6024	163	7	was	be	AUX
cana-6024	163	8	most	most	ADV
cana-6024	163	9	efficient	efficient	ADJ
cana-6024	163	10	in	in	ADP
cana-6024	163	11	terms	term	NOUN
cana-6024	163	12	of	of	ADP
cana-6024	163	13	inference	inference	NOUN
cana-6024	163	14	time	time	NOUN
cana-6024	163	15	and	and	CCONJ
cana-6024	163	16	,	,	PUNCT
cana-6024	163	17	therefore	therefore	ADV
cana-6024	163	18	,	,	PUNCT
cana-6024	163	19	was	be	AUX
cana-6024	163	20	the	the	DET
cana-6024	163	21	best	good	ADJ
cana-6024	163	22	on	on	ADP
cana-6024	163	23	-	-	PUNCT
cana-6024	163	24	site	site	NOUN
cana-6024	163	25	/	/	SYM
cana-6024	163	26	on	on	ADP
cana-6024	163	27	-	-	PUNCT
cana-6024	163	28	board	board	NOUN
cana-6024	163	29	implementation	implementation	NOUN
cana-6024	163	30	solution	solution	NOUN
cana-6024	163	31	.	.	PUNCT
cana-6024	164	1	the	the	DET
cana-6024	164	2	application	application	NOUN
cana-6024	164	3	of	of	ADP
cana-6024	164	4	a	a	DET
cana-6024	164	5	well	well	ADV
cana-6024	164	6	selected	select	VERB
cana-6024	164	7	em	em	PRON
cana-6024	164	8	imaging	imaging	NOUN
cana-6024	164	9	set	set	VERB
cana-6024	164	10	and	and	CCONJ
cana-6024	164	11	strict	strict	ADJ
cana-6024	164	12	pre	pre	ADJ
cana-6024	164	13	-	-	ADJ
cana-6024	164	14	processing	processing	ADJ
cana-6024	164	15	,	,	PUNCT
cana-6024	164	16	model	model	NOUN
cana-6024	164	17	training	training	NOUN
cana-6024	164	18	and	and	CCONJ
cana-6024	164	19	testing	testing	NOUN
cana-6024	164	20	also	also	ADV
cana-6024	164	21	provided	provide	VERB
cana-6024	164	22	the	the	DET
cana-6024	164	23	robustness	robustness	NOUN
cana-6024	164	24	and	and	CCONJ
cana-6024	164	25	reliability	reliability	NOUN
cana-6024	164	26	of	of	ADP
cana-6024	164	27	the	the	DET
cana-6024	164	28	results	result	NOUN
cana-6024	164	29	.	.	PUNCT
cana-6024	165	1	comparison	comparison	NOUN
cana-6024	165	2	with	with	ADP
cana-6024	165	3	the	the	DET
cana-6024	165	4	current	current	ADJ
cana-6024	165	5	related	relate	VERB
cana-6024	165	6	studies	study	NOUN
cana-6024	165	7	proved	prove	VERB
cana-6024	165	8	the	the	DET
cana-6024	165	9	higher	high	ADJ
cana-6024	165	10	superiority	superiority	NOUN
cana-6024	165	11	of	of	ADP
cana-6024	165	12	our	our	PRON
cana-6024	165	13	method	method	NOUN
cana-6024	165	14	in	in	ADP
cana-6024	165	15	terms	term	NOUN
cana-6024	165	16	of	of	ADP
cana-6024	165	17	performance	performance	NOUN
cana-6024	165	18	and	and	CCONJ
cana-6024	165	19	practical	practical	ADJ
cana-6024	165	20	feasibility	feasibility	NOUN
cana-6024	165	21	of	of	ADP
cana-6024	165	22	implementation	implementation	NOUN
cana-6024	165	23	.	.	PUNCT
cana-6024	166	1	as	as	SCONJ
cana-6024	166	2	opposed	oppose	VERB
cana-6024	166	3	to	to	ADP
cana-6024	166	4	conventional	conventional	ADJ
cana-6024	166	5	surface	surface	NOUN
cana-6024	166	6	level	level	NOUN
cana-6024	166	7	inspection	inspection	NOUN
cana-6024	166	8	or	or	CCONJ
cana-6024	166	9	visual	visual	ADJ
cana-6024	166	10	inspection	inspection	NOUN
cana-6024	166	11	,	,	PUNCT
cana-6024	166	12	our	our	PRON
cana-6024	166	13	technique	technique	NOUN
cana-6024	166	14	would	would	AUX
cana-6024	166	15	capture	capture	VERB
cana-6024	166	16	the	the	DET
cana-6024	166	17	interior	interior	ADJ
cana-6024	166	18	cracks	crack	NOUN
cana-6024	166	19	within	within	ADP
cana-6024	166	20	an	an	DET
cana-6024	166	21	infrastructure	infrastructure	NOUN
cana-6024	166	22	,	,	PUNCT
cana-6024	166	23	providing	provide	VERB
cana-6024	166	24	a	a	DET
cana-6024	166	25	more	more	ADV
cana-6024	166	26	thorough	thorough	ADJ
cana-6024	166	27	and	and	CCONJ
cana-6024	166	28	preemptive	preemptive	ADJ
cana-6024	166	29	infrastructure	infrastructure	NOUN
cana-6024	166	30	maintenance	maintenance	NOUN
cana-6024	166	31	solution	solution	NOUN
cana-6024	166	32	.	.	PUNCT
cana-6024	167	1	effective	effective	ADJ
cana-6024	167	2	combination	combination	NOUN
cana-6024	167	3	of	of	ADP
cana-6024	167	4	em	em	PRON
cana-6024	167	5	imaging	image	VERB
cana-6024	167	6	and	and	CCONJ
cana-6024	167	7	deep	deep	ADJ
cana-6024	167	8	learning	learning	NOUN
cana-6024	167	9	offers	offer	VERB
cana-6024	167	10	innovative	innovative	ADJ
cana-6024	167	11	future	future	NOUN
cana-6024	167	12	in	in	ADP
cana-6024	167	13	terms	term	NOUN
cana-6024	167	14	of	of	ADP
cana-6024	167	15	noninvasive	noninvasive	ADJ
cana-6024	167	16	,	,	PUNCT
cana-6024	167	17	high	high	ADJ
cana-6024	167	18	and	and	CCONJ
cana-6024	167	19	wide	wide	ADJ
cana-6024	167	20	scale	scale	NOUN
cana-6024	167	21	accuracy	accuracy	NOUN
cana-6024	167	22	measurement	measurement	NOUN
cana-6024	167	23	that	that	PRON
cana-6024	167	24	can	can	AUX
cana-6024	167	25	be	be	AUX
cana-6024	167	26	used	use	VERB
cana-6024	167	27	to	to	PART
cana-6024	167	28	observe	observe	VERB
cana-6024	167	29	critical	critical	ADJ
cana-6024	167	30	infrastructures	infrastructure	NOUN
cana-6024	167	31	like	like	ADP
cana-6024	167	32	bridges	bridge	NOUN
cana-6024	167	33	,	,	PUNCT
cana-6024	167	34	tunnels	tunnel	NOUN
cana-6024	167	35	,	,	PUNCT
cana-6024	167	36	and	and	CCONJ
cana-6024	167	37	marine	marine	ADJ
cana-6024	167	38	infrastructure	infrastructure	NOUN
cana-6024	167	39	.	.	PUNCT
cana-6024	168	1	to	to	PART
cana-6024	168	2	sum	sum	VERB
cana-6024	168	3	up	up	ADP
cana-6024	168	4	,	,	PUNCT
cana-6024	168	5	the	the	DET
cana-6024	168	6	study	study	NOUN
cana-6024	168	7	helps	help	VERB
cana-6024	168	8	in	in	ADP
cana-6024	168	9	communications	communication	NOUN
cana-6024	168	10	on	on	ADP
cana-6024	168	11	applied	apply	VERB
cana-6024	168	12	nonlinear	nonlinear	ADJ
cana-6024	168	13	analysis	analysis	NOUN
cana-6024	168	14	issn	issn	NOUN
cana-6024	168	15	:	:	PUNCT
cana-6024	168	16	1074	1074	NUM
cana-6024	168	17	-	-	PUNCT
cana-6024	168	18	133x	133x	NUM
cana-6024	168	19	vol	vol	NOUN
cana-6024	168	20	31	31	NUM
cana-6024	168	21	no	no	NOUN
cana-6024	168	22	.	.	PUNCT
cana-6024	169	1	8s	8s	PROPN
cana-6024	169	2	(	(	PUNCT
cana-6024	169	3	2024	2024	NUM
cana-6024	169	4	)	)	PUNCT
cana-6024	169	5	1152	1152	NUM
cana-6024	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	169	7	advancing	advance	VERB
cana-6024	169	8	the	the	DET
cana-6024	169	9	domain	domain	NOUN
cana-6024	169	10	of	of	ADP
cana-6024	169	11	intelligent	intelligent	ADJ
cana-6024	169	12	infrastructure	infrastructure	NOUN
cana-6024	169	13	inspection	inspection	NOUN
cana-6024	169	14	,	,	PUNCT
cana-6024	169	15	suggesting	suggest	VERB
cana-6024	169	16	a	a	DET
cana-6024	169	17	crack	crack	NOUN
cana-6024	169	18	detection	detection	NOUN
cana-6024	169	19	system	system	NOUN
cana-6024	169	20	with	with	ADP
cana-6024	169	21	excellent	excellent	ADJ
cana-6024	169	22	performance	performance	NOUN
cana-6024	169	23	and	and	CCONJ
cana-6024	169	24	real	real	ADJ
cana-6024	169	25	-	-	PUNCT
cana-6024	169	26	time	time	NOUN
cana-6024	169	27	capabilities	capability	NOUN
cana-6024	169	28	.	.	PUNCT
cana-6024	170	1	other	other	ADJ
cana-6024	170	2	tasks	task	NOUN
cana-6024	170	3	in	in	ADP
cana-6024	170	4	the	the	DET
cana-6024	170	5	future	future	NOUN
cana-6024	170	6	can	can	AUX
cana-6024	170	7	include	include	VERB
cana-6024	170	8	expanding	expand	VERB
cana-6024	170	9	the	the	DET
cana-6024	170	10	datasets	dataset	NOUN
cana-6024	170	11	,	,	PUNCT
cana-6024	170	12	application	application	NOUN
cana-6024	170	13	to	to	PART
cana-6024	170	14	edge	edge	NOUN
cana-6024	170	15	devices	device	NOUN
cana-6024	170	16	,	,	PUNCT
cana-6024	170	17	and	and	CCONJ
cana-6024	170	18	multiple	multiple	ADJ
cana-6024	170	19	-	-	PUNCT
cana-6024	170	20	modal	modal	NOUN
cana-6024	170	21	data	datum	NOUN
cana-6024	170	22	to	to	PART
cana-6024	170	23	increase	increase	VERB
cana-6024	170	24	the	the	DET
cana-6024	170	25	sensitivity	sensitivity	NOUN
cana-6024	170	26	of	of	ADP
cana-6024	170	27	detection	detection	NOUN
cana-6024	170	28	and	and	CCONJ
cana-6024	170	29	efficiency	efficiency	NOUN
cana-6024	170	30	of	of	ADP
cana-6024	170	31	operation	operation	NOUN
cana-6024	170	32	in	in	ADP
cana-6024	170	33	various	various	ADJ
cana-6024	170	34	environments	environment	NOUN
cana-6024	170	35	.	.	PUNCT
cana-6024	171	1	reference	reference	NOUN
cana-6024	171	2	[	[	X
cana-6024	171	3	1	1	NUM
cana-6024	171	4	]	]	X
cana-6024	171	5	abdollahi	abdollahi	ADJ
cana-6024	171	6	-	-	PUNCT
cana-6024	171	7	mamoudan	mamoudan	PROPN
cana-6024	171	8	farima	farima	PROPN
cana-6024	171	9	,	,	PUNCT
cana-6024	171	10	ibarra	ibarra	PROPN
cana-6024	171	11	-	-	PUNCT
cana-6024	171	12	castanedo	castanedo	PROPN
cana-6024	171	13	clemente	clemente	PROPN
cana-6024	171	14	&	&	CCONJ
cana-6024	171	15	maldague	maldague	PROPN
cana-6024	171	16	,	,	PUNCT
cana-6024	171	17	x.p	x.p	PROPN
cana-6024	171	18	.	.	PROPN
cana-6024	171	19	,	,	PUNCT
cana-6024	171	20	v.	v.	ADP
cana-6024	171	21	2025	2025	NUM
cana-6024	171	22	,	,	PUNCT
cana-6024	171	23	"	"	PUNCT
cana-6024	171	24	non	non	ADJ
cana-6024	171	25	-	-	ADJ
cana-6024	171	26	destructive	destructive	ADJ
cana-6024	171	27	testing	testing	NOUN
cana-6024	171	28	and	and	CCONJ
cana-6024	171	29	evaluation	evaluation	NOUN
cana-6024	171	30	of	of	ADP
cana-6024	171	31	hybrid	hybrid	NOUN
cana-6024	171	32	and	and	CCONJ
cana-6024	171	33	advanced	advanced	ADJ
cana-6024	171	34	structures	structure	NOUN
cana-6024	171	35	:	:	PUNCT
cana-6024	171	36	a	a	DET
cana-6024	171	37	comprehensive	comprehensive	ADJ
cana-6024	171	38	review	review	NOUN
cana-6024	171	39	of	of	ADP
cana-6024	171	40	methods	method	NOUN
cana-6024	171	41	,	,	PUNCT
cana-6024	171	42	applications	application	NOUN
cana-6024	171	43	,	,	PUNCT
cana-6024	171	44	and	and	CCONJ
cana-6024	171	45	emerging	emerge	VERB
cana-6024	171	46	trends	trend	NOUN
cana-6024	171	47	"	"	PUNCT
cana-6024	171	48	,	,	PUNCT
cana-6024	171	49	sensors	sensor	NOUN
cana-6024	171	50	,	,	PUNCT
cana-6024	171	51	vol	vol	NOUN
cana-6024	171	52	.	.	PROPN
cana-6024	171	53	25	25	NUM
cana-6024	171	54	,	,	PUNCT
cana-6024	171	55	no	no	INTJ
cana-6024	171	56	.	.	NOUN
cana-6024	171	57	12	12	NUM
cana-6024	171	58	,	,	PUNCT
cana-6024	171	59	pp	pp	ADJ
cana-6024	171	60	.	.	PUNCT
cana-6024	171	61	3635	3635	NUM
cana-6024	171	62	.	.	PUNCT
cana-6024	172	1	[	[	X
cana-6024	172	2	2	2	NUM
cana-6024	172	3	]	]	PUNCT
cana-6024	172	4	cavadia	cavadia	NOUN
cana-6024	172	5	,	,	PUNCT
cana-6024	172	6	p.	p.	PROPN
cana-6024	172	7	,	,	PUNCT
cana-6024	172	8	benjumea	benjumea	VERB
cana-6024	172	9	,	,	PUNCT
cana-6024	172	10	j.m	j.m	PROPN
cana-6024	172	11	.	.	PROPN
cana-6024	172	12	,	,	PUNCT
cana-6024	172	13	begambre	begambre	PROPN
cana-6024	172	14	,	,	PUNCT
cana-6024	172	15	o.	o.	PROPN
cana-6024	172	16	,	,	PUNCT
cana-6024	172	17	osorio	osorio	PROPN
cana-6024	172	18	,	,	PUNCT
cana-6024	172	19	e.	e.	PROPN
cana-6024	172	20	&	&	CCONJ
cana-6024	172	21	mantilla	mantilla	PROPN
cana-6024	172	22	,	,	PUNCT
cana-6024	172	23	m.a	m.a	PROPN
cana-6024	172	24	.	.	PROPN
cana-6024	172	25	2025	2025	NUM
cana-6024	172	26	,	,	PUNCT
cana-6024	172	27	"	"	PUNCT
cana-6024	172	28	an	an	DET
cana-6024	172	29	open	open	ADJ
cana-6024	172	30	database	database	NOUN
cana-6024	172	31	of	of	ADP
cana-6024	172	32	the	the	DET
cana-6024	172	33	internal	internal	ADJ
cana-6024	172	34	and	and	CCONJ
cana-6024	172	35	surface	surface	NOUN
cana-6024	172	36	temperatures	temperature	NOUN
cana-6024	172	37	of	of	ADP
cana-6024	172	38	a	a	DET
cana-6024	172	39	reinforced	reinforce	VERB
cana-6024	172	40	-	-	PUNCT
cana-6024	172	41	concrete	concrete	NOUN
cana-6024	172	42	slabon	slabon	NOUN
cana-6024	172	43	-	-	PUNCT
cana-6024	172	44	i	i	NOUN
cana-6024	172	45	-	-	PUNCT
cana-6024	172	46	beam	beam	NOUN
cana-6024	172	47	section	section	NOUN
cana-6024	172	48	"	"	PUNCT
cana-6024	172	49	,	,	PUNCT
cana-6024	172	50	data	data	NOUN
cana-6024	172	51	,	,	PUNCT
cana-6024	172	52	vol	vol	NOUN
cana-6024	172	53	.	.	PROPN
cana-6024	172	54	10	10	NUM
cana-6024	172	55	,	,	PUNCT
cana-6024	172	56	no	no	INTJ
cana-6024	172	57	.	.	NOUN
cana-6024	172	58	2	2	NUM
cana-6024	172	59	,	,	PUNCT
cana-6024	172	60	pp	pp	ADJ
cana-6024	172	61	.	.	PUNCT
cana-6024	173	1	21	21	NUM
cana-6024	173	2	.	.	PUNCT
cana-6024	174	1	[	[	X
cana-6024	174	2	3	3	NUM
cana-6024	174	3	]	]	X
cana-6024	174	4	congde	congde	NOUN
cana-6024	174	5	,	,	PUNCT
cana-6024	174	6	l.	l.	PROPN
cana-6024	174	7	,	,	PUNCT
cana-6024	174	8	senguo	senguo	PROPN
cana-6024	174	9	,	,	PUNCT
cana-6024	174	10	c.	c.	PROPN
cana-6024	174	11	,	,	PUNCT
cana-6024	174	12	wang	wang	PROPN
cana-6024	174	13	,	,	PUNCT
cana-6024	174	14	x.	x.	PROPN
cana-6024	174	15	,	,	PUNCT
cana-6024	174	16	guanglai	guanglai	PROPN
cana-6024	174	17	,	,	PUNCT
cana-6024	174	18	j.	j.	PROPN
cana-6024	174	19	,	,	PUNCT
cana-6024	174	20	wang	wang	PROPN
cana-6024	174	21	,	,	PUNCT
cana-6024	174	22	s.	s.	PROPN
cana-6024	174	23	&	&	CCONJ
cana-6024	174	24	wenlong	wenlong	PROPN
cana-6024	174	25	,	,	PUNCT
cana-6024	174	26	c.	c.	PROPN
cana-6024	174	27	2025	2025	NUM
cana-6024	174	28	,	,	PUNCT
cana-6024	174	29	"	"	PUNCT
cana-6024	174	30	oemhwnet	oemhwnet	NOUN
cana-6024	174	31	:	:	PUNCT
cana-6024	174	32	a	a	DET
cana-6024	174	33	prior	prior	ADJ
cana-6024	174	34	knowledge	knowledge	NOUN
cana-6024	174	35	-	-	PUNCT
cana-6024	174	36	guided	guide	VERB
cana-6024	174	37	network	network	NOUN
cana-6024	174	38	for	for	ADP
cana-6024	174	39	pavement	pavement	NOUN
cana-6024	174	40	interlayer	interlayer	NOUN
cana-6024	174	41	distress	distress	NOUN
cana-6024	174	42	detection	detection	NOUN
cana-6024	174	43	based	base	VERB
cana-6024	174	44	on	on	ADP
cana-6024	174	45	computer	computer	NOUN
cana-6024	174	46	vision	vision	NOUN
cana-6024	174	47	using	use	VERB
cana-6024	174	48	gpr	gpr	PROPN
cana-6024	174	49	"	"	PUNCT
cana-6024	174	50	,	,	PUNCT
cana-6024	174	51	remote	remote	ADJ
cana-6024	174	52	sensing	sensing	NOUN
cana-6024	174	53	,	,	PUNCT
cana-6024	174	54	vol	vol	NOUN
cana-6024	174	55	.	.	PROPN
cana-6024	174	56	17	17	NUM
cana-6024	174	57	,	,	PUNCT
cana-6024	174	58	no	no	INTJ
cana-6024	174	59	.	.	NOUN
cana-6024	174	60	9	9	NUM
cana-6024	174	61	,	,	PUNCT
cana-6024	174	62	pp	pp	ADJ
cana-6024	174	63	.	.	PUNCT
cana-6024	174	64	1554	1554	NUM
cana-6024	174	65	.	.	PUNCT
cana-6024	175	1	[	[	X
cana-6024	175	2	4	4	NUM
cana-6024	175	3	]	]	X
cana-6024	175	4	demeke	demeke	ADJ
cana-6024	175	5	,	,	PUNCT
cana-6024	175	6	a.a	a.a	PROPN
cana-6024	175	7	.	.	PROPN
cana-6024	175	8	,	,	PUNCT
cana-6024	175	9	hendlmeier	hendlmeier	NOUN
cana-6024	175	10	,	,	PUNCT
cana-6024	175	11	a.	a.	PROPN
cana-6024	175	12	,	,	PUNCT
cana-6024	175	13	dunn	dunn	PROPN
cana-6024	175	14	,	,	PUNCT
cana-6024	175	15	m.	m.	NOUN
cana-6024	175	16	,	,	PUNCT
cana-6024	175	17	arablouei	arablouei	PROPN
cana-6024	175	18	,	,	PUNCT
cana-6024	175	19	r.	r.	PROPN
cana-6024	175	20	,	,	PUNCT
cana-6024	175	21	lomov	lomov	ADJ
cana-6024	175	22	,	,	PUNCT
cana-6024	175	23	s.v	s.v	PROPN
cana-6024	175	24	.	.	PROPN
cana-6024	175	25	,	,	PUNCT
cana-6024	175	26	pietro	pietro	PROPN
cana-6024	175	27	,	,	PUNCT
cana-6024	175	28	a.d	a.d	PROPN
cana-6024	175	29	.	.	PROPN
cana-6024	175	30	&	&	CCONJ
cana-6024	175	31	nikzad	nikzad	PROPN
cana-6024	175	32	,	,	PUNCT
cana-6024	175	33	m.	m.	NOUN
cana-6024	175	34	2024	2024	NUM
cana-6024	175	35	,	,	PUNCT
cana-6024	175	36	"	"	PUNCT
cana-6024	175	37	detecting	detect	VERB
cana-6024	175	38	multi	multi	ADJ
cana-6024	175	39	-	-	ADJ
cana-6024	175	40	scale	scale	ADJ
cana-6024	175	41	defects	defect	NOUN
cana-6024	175	42	in	in	ADP
cana-6024	175	43	material	material	ADJ
cana-6024	175	44	extrusion	extrusion	NOUN
cana-6024	175	45	additive	additive	NOUN
cana-6024	175	46	manufacturing	manufacturing	NOUN
cana-6024	175	47	of	of	ADP
cana-6024	175	48	fiber	fiber	NOUN
cana-6024	175	49	-	-	PUNCT
cana-6024	175	50	reinforced	reinforce	VERB
cana-6024	175	51	thermoplastic	thermoplastic	NOUN
cana-6024	175	52	composites	composite	NOUN
cana-6024	175	53	:	:	PUNCT
cana-6024	175	54	a	a	DET
cana-6024	175	55	review	review	NOUN
cana-6024	175	56	of	of	ADP
cana-6024	175	57	challenges	challenge	NOUN
cana-6024	175	58	and	and	CCONJ
cana-6024	175	59	advanced	advanced	ADJ
cana-6024	175	60	non	non	ADJ
cana-6024	175	61	-	-	ADJ
cana-6024	175	62	destructive	destructive	ADJ
cana-6024	175	63	testing	testing	NOUN
cana-6024	175	64	techniques	technique	NOUN
cana-6024	175	65	"	"	PUNCT
cana-6024	175	66	,	,	PUNCT
cana-6024	175	67	polymers	polymer	NOUN
cana-6024	175	68	,	,	PUNCT
cana-6024	175	69	vol	vol	NOUN
cana-6024	175	70	.	.	PROPN
cana-6024	176	1	16	16	NUM
cana-6024	176	2	,	,	PUNCT
cana-6024	176	3	no	no	INTJ
cana-6024	176	4	.	.	NOUN
cana-6024	176	5	21	21	NUM
cana-6024	176	6	,	,	PUNCT
cana-6024	176	7	pp	pp	ADJ
cana-6024	176	8	.	.	PUNCT
cana-6024	177	1	2986	2986	NUM
cana-6024	177	2	.	.	PUNCT
cana-6024	178	1	[	[	X
cana-6024	178	2	5	5	NUM
cana-6024	178	3	]	]	SYM
cana-6024	178	4	egodawela	egodawela	PROPN
cana-6024	178	5	,	,	PUNCT
cana-6024	178	6	s.	s.	PROPN
cana-6024	178	7	,	,	PUNCT
cana-6024	178	8	gostar	gostar	PROPN
cana-6024	178	9	,	,	PUNCT
cana-6024	178	10	a.k	a.k	PROPN
cana-6024	178	11	.	.	PROPN
cana-6024	178	12	,	,	PUNCT
cana-6024	178	13	samith	samith	ADP
cana-6024	178	14	buddika	buddika	PROPN
cana-6024	178	15	,	,	PUNCT
cana-6024	178	16	h.	h.	PROPN
cana-6024	178	17	a.	a.	PROPN
cana-6024	178	18	d.	d.	PROPN
cana-6024	178	19	,	,	PUNCT
cana-6024	178	20	harischandra	harischandra	PROPN
cana-6024	178	21	,	,	PUNCT
cana-6024	178	22	w.a.n.i	w.a.n.i	PROPN
cana-6024	178	23	.	.	PROPN
cana-6024	178	24	,	,	PUNCT
cana-6024	178	25	dhammika	dhammika	PROPN
cana-6024	178	26	,	,	PUNCT
cana-6024	178	27	a.j	a.j	PROPN
cana-6024	178	28	.	.	PROPN
cana-6024	178	29	&	&	CCONJ
cana-6024	178	30	mahmoodian	mahmoodian	PROPN
cana-6024	178	31	,	,	PUNCT
cana-6024	178	32	m.	m.	NOUN
cana-6024	178	33	2025	2025	NUM
cana-6024	178	34	,	,	PUNCT
cana-6024	178	35	"	"	PUNCT
cana-6024	178	36	metal	metal	NOUN
cana-6024	178	37	loss	loss	NOUN
cana-6024	178	38	defect	defect	NOUN
cana-6024	178	39	detection	detection	NOUN
cana-6024	178	40	and	and	CCONJ
cana-6024	178	41	depth	depth	NOUN
cana-6024	178	42	estimation	estimation	NOUN
cana-6024	178	43	using	use	VERB
cana-6024	178	44	multi	multi	ADJ
cana-6024	178	45	-	-	ADJ
cana-6024	178	46	spectral	spectral	ADJ
cana-6024	178	47	image	image	NOUN
cana-6024	178	48	analysis	analysis	NOUN
cana-6024	178	49	of	of	ADP
cana-6024	178	50	cooling	cool	VERB
cana-6024	178	51	excited	excited	ADJ
cana-6024	178	52	steel	steel	NOUN
cana-6024	178	53	specimen	speciman	NOUN
cana-6024	178	54	with	with	ADP
cana-6024	178	55	corrosion	corrosion	NOUN
cana-6024	178	56	"	"	PUNCT
cana-6024	178	57	,	,	PUNCT
cana-6024	178	58	scientific	scientific	ADJ
cana-6024	178	59	reports	report	NOUN
cana-6024	178	60	(	(	PUNCT
cana-6024	178	61	nature	nature	NOUN
cana-6024	178	62	publisher	publisher	NOUN
cana-6024	178	63	group	group	PROPN
cana-6024	178	64	)	)	PUNCT
cana-6024	178	65	,	,	PUNCT
cana-6024	178	66	vol	vol	NOUN
cana-6024	178	67	.	.	PROPN
cana-6024	178	68	15	15	NUM
cana-6024	178	69	,	,	PUNCT
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cana-6024	178	71	.	.	NOUN
cana-6024	178	72	1	1	NUM
cana-6024	178	73	,	,	PUNCT
cana-6024	178	74	pp	pp	ADJ
cana-6024	178	75	.	.	PUNCT
cana-6024	179	1	23894	23894	NUM
cana-6024	179	2	.	.	PUNCT
cana-6024	180	1	[	[	X
cana-6024	180	2	6	6	NUM
cana-6024	180	3	]	]	PUNCT
cana-6024	180	4	eyad	eyad	NOUN
cana-6024	180	5	,	,	PUNCT
cana-6024	180	6	a.	a.	NOUN
cana-6024	180	7	2025	2025	NUM
cana-6024	180	8	,	,	PUNCT
cana-6024	180	9	"	"	PUNCT
cana-6024	180	10	nondestructive	nondestructive	ADJ
cana-6024	180	11	testing	testing	NOUN
cana-6024	180	12	of	of	ADP
cana-6024	180	13	externally	externally	ADV
cana-6024	180	14	bonded	bond	VERB
cana-6024	180	15	frp	frp	PROPN
cana-6024	180	16	concrete	concrete	PROPN
cana-6024	180	17	structures	structure	NOUN
cana-6024	180	18	:	:	PUNCT
cana-6024	180	19	a	a	DET
cana-6024	180	20	comprehensive	comprehensive	ADJ
cana-6024	180	21	review	review	NOUN
cana-6024	180	22	"	"	PUNCT
cana-6024	180	23	,	,	PUNCT
cana-6024	180	24	polymers	polymer	NOUN
cana-6024	180	25	,	,	PUNCT
cana-6024	180	26	vol	vol	NOUN
cana-6024	180	27	.	.	PROPN
cana-6024	180	28	17	17	NUM
cana-6024	180	29	,	,	PUNCT
cana-6024	180	30	no	no	INTJ
cana-6024	180	31	.	.	NOUN
cana-6024	180	32	9	9	NUM
cana-6024	180	33	,	,	PUNCT
cana-6024	180	34	pp	pp	ADJ
cana-6024	180	35	.	.	PUNCT
cana-6024	181	1	1284	1284	NUM
cana-6024	181	2	.	.	PUNCT
cana-6024	182	1	[	[	X
cana-6024	182	2	7	7	X
cana-6024	182	3	]	]	X
cana-6024	182	4	gabriel	gabriel	PROPN
cana-6024	182	5	de	de	PROPN
cana-6024	182	6	,	,	PUNCT
cana-6024	182	7	s.m	s.m	PROPN
cana-6024	182	8	.	.	PROPN
cana-6024	182	9	,	,	PUNCT
cana-6024	182	10	ferreira	ferreira	PROPN
cana-6024	182	11	guedes	guedes	PROPN
cana-6024	182	12	,	,	PUNCT
cana-6024	182	13	j.v	j.v	PROPN
cana-6024	182	14	.	.	PROPN
cana-6024	182	15	&	&	CCONJ
cana-6024	182	16	edilson	edilson	PROPN
cana-6024	182	17	de	de	PROPN
cana-6024	182	18	,	,	PUNCT
cana-6024	182	19	s.b	s.b	PROPN
cana-6024	182	20	.	.	PROPN
cana-6024	182	21	2024	2024	NUM
cana-6024	182	22	,	,	PUNCT
cana-6024	182	23	"	"	PUNCT
cana-6024	182	24	uav	uav	PROPN
cana-6024	182	25	-	-	PUNCT
cana-6024	182	26	embedded	embed	VERB
cana-6024	182	27	sensors	sensor	NOUN
cana-6024	182	28	and	and	CCONJ
cana-6024	182	29	deep	deep	ADJ
cana-6024	182	30	learning	learning	NOUN
cana-6024	182	31	for	for	ADP
cana-6024	182	32	pathology	pathology	NOUN
cana-6024	182	33	identification	identification	NOUN
cana-6024	182	34	in	in	ADP
cana-6024	182	35	building	building	NOUN
cana-6024	182	36	façades	façade	NOUN
cana-6024	182	37	:	:	PUNCT
cana-6024	182	38	a	a	DET
cana-6024	182	39	review	review	NOUN
cana-6024	182	40	"	"	PUNCT
cana-6024	182	41	,	,	PUNCT
cana-6024	182	42	drones	drone	NOUN
cana-6024	182	43	,	,	PUNCT
cana-6024	182	44	vol	vol	NOUN
cana-6024	182	45	.	.	PROPN
cana-6024	182	46	8	8	NUM
cana-6024	182	47	,	,	PUNCT
cana-6024	182	48	no	no	INTJ
cana-6024	182	49	.	.	NOUN
cana-6024	182	50	7	7	NUM
cana-6024	182	51	,	,	PUNCT
cana-6024	182	52	pp	pp	ADJ
cana-6024	182	53	.	.	PUNCT
cana-6024	183	1	341	341	NUM
cana-6024	183	2	.	.	PUNCT
cana-6024	184	1	[	[	X
cana-6024	184	2	8	8	NUM
cana-6024	184	3	]	]	SYM
cana-6024	184	4	ghattas	ghatta	NOUN
cana-6024	184	5	,	,	PUNCT
cana-6024	184	6	a.	a.	NOUN
cana-6024	184	7	,	,	PUNCT
cana-6024	184	8	al	al	PROPN
cana-6024	184	9	-	-	PUNCT
cana-6024	184	10	sharawi	sharawi	PROPN
cana-6024	184	11	,	,	PUNCT
cana-6024	184	12	r.	r.	PROPN
cana-6024	184	13	,	,	PUNCT
cana-6024	184	14	zakaria	zakaria	PROPN
cana-6024	184	15	,	,	PUNCT
cana-6024	184	16	a.	a.	PROPN
cana-6024	184	17	&	&	CCONJ
cana-6024	184	18	qaddoumi	qaddoumi	PROPN
cana-6024	184	19	,	,	PUNCT
cana-6024	184	20	n.	n.	PROPN
cana-6024	184	21	2025	2025	NUM
cana-6024	184	22	,	,	PUNCT
cana-6024	184	23	"	"	PUNCT
cana-6024	184	24	detecting	detect	VERB
cana-6024	184	25	defects	defect	NOUN
cana-6024	184	26	in	in	ADP
cana-6024	184	27	materials	material	NOUN
cana-6024	184	28	using	use	VERB
cana-6024	184	29	nondestructive	nondestructive	ADJ
cana-6024	184	30	microwave	microwave	NOUN
cana-6024	184	31	testing	testing	NOUN
cana-6024	184	32	techniques	technique	NOUN
cana-6024	184	33	:	:	PUNCT
cana-6024	184	34	a	a	DET
cana-6024	184	35	comprehensive	comprehensive	ADJ
cana-6024	184	36	review	review	NOUN
cana-6024	184	37	"	"	PUNCT
cana-6024	184	38	,	,	PUNCT
cana-6024	184	39	applied	apply	VERB
cana-6024	184	40	sciences	science	NOUN
cana-6024	184	41	,	,	PUNCT
cana-6024	184	42	vol	vol	NOUN
cana-6024	184	43	.	.	PROPN
cana-6024	184	44	15	15	NUM
cana-6024	184	45	,	,	PUNCT
cana-6024	184	46	no	no	INTJ
cana-6024	184	47	.	.	NOUN
cana-6024	184	48	6	6	NUM
cana-6024	184	49	,	,	PUNCT
cana-6024	184	50	pp	pp	ADJ
cana-6024	184	51	.	.	PUNCT
cana-6024	184	52	3274	3274	NUM
cana-6024	184	53	.	.	PUNCT
cana-6024	185	1	[	[	X
cana-6024	185	2	9	9	NUM
cana-6024	185	3	]	]	PUNCT
cana-6024	185	4	golovastikov	golovastikov	NOUN
cana-6024	185	5	,	,	PUNCT
cana-6024	185	6	n.v	n.v	PROPN
cana-6024	185	7	.	.	PROPN
cana-6024	185	8	,	,	PUNCT
cana-6024	185	9	kazanskiy	kazanskiy	PROPN
cana-6024	185	10	,	,	PUNCT
cana-6024	185	11	n.l	n.l	PROPN
cana-6024	185	12	.	.	PROPN
cana-6024	185	13	&	&	CCONJ
cana-6024	185	14	khonina	khonina	PROPN
cana-6024	185	15	,	,	PUNCT
cana-6024	185	16	s.n	s.n	PROPN
cana-6024	185	17	.	.	PROPN
cana-6024	185	18	2025	2025	NUM
cana-6024	185	19	,	,	PUNCT
cana-6024	185	20	"	"	PUNCT
cana-6024	185	21	optical	optical	ADJ
cana-6024	185	22	fiber	fiber	NOUN
cana-6024	185	23	-	-	PUNCT
cana-6024	185	24	based	base	VERB
cana-6024	185	25	structural	structural	ADJ
cana-6024	185	26	health	health	NOUN
cana-6024	185	27	monitoring	monitoring	NOUN
cana-6024	185	28	:	:	PUNCT
cana-6024	185	29	advancements	advancement	NOUN
cana-6024	185	30	,	,	PUNCT
cana-6024	185	31	applications	application	NOUN
cana-6024	185	32	,	,	PUNCT
cana-6024	185	33	and	and	CCONJ
cana-6024	185	34	integration	integration	NOUN
cana-6024	185	35	with	with	ADP
cana-6024	185	36	artificial	artificial	ADJ
cana-6024	185	37	intelligence	intelligence	NOUN
cana-6024	185	38	for	for	ADP
cana-6024	185	39	civil	civil	ADJ
cana-6024	185	40	and	and	CCONJ
cana-6024	185	41	urban	urban	ADJ
cana-6024	185	42	infrastructure	infrastructure	NOUN
cana-6024	185	43	"	"	PUNCT
cana-6024	185	44	,	,	PUNCT
cana-6024	185	45	photonics	photonic	NOUN
cana-6024	185	46	,	,	PUNCT
cana-6024	185	47	vol	vol	NOUN
cana-6024	185	48	.	.	PROPN
cana-6024	185	49	12	12	NUM
cana-6024	185	50	,	,	PUNCT
cana-6024	185	51	no	no	INTJ
cana-6024	185	52	.	.	NOUN
cana-6024	185	53	6	6	NUM
cana-6024	185	54	,	,	PUNCT
cana-6024	185	55	pp	pp	ADJ
cana-6024	185	56	.	.	PUNCT
cana-6024	185	57	615	615	NUM
cana-6024	185	58	.	.	PUNCT
cana-6024	185	59	communications	communication	NOUN
cana-6024	185	60	on	on	ADP
cana-6024	185	61	applied	apply	VERB
cana-6024	185	62	nonlinear	nonlinear	ADJ
cana-6024	185	63	analysis	analysis	NOUN
cana-6024	185	64	issn	issn	NOUN
cana-6024	185	65	:	:	PUNCT
cana-6024	185	66	1074	1074	NUM
cana-6024	185	67	-	-	PUNCT
cana-6024	185	68	133x	133x	NUM
cana-6024	185	69	vol	vol	NOUN
cana-6024	185	70	31	31	NUM
cana-6024	185	71	no	no	NOUN
cana-6024	185	72	.	.	PUNCT
cana-6024	186	1	8s	8s	PROPN
cana-6024	186	2	(	(	PUNCT
cana-6024	186	3	2024	2024	NUM
cana-6024	186	4	)	)	PUNCT
cana-6024	186	5	1153	1153	NUM
cana-6024	186	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	187	1	[	[	X
cana-6024	187	2	10	10	NUM
cana-6024	187	3	]	]	X
cana-6024	187	4	guo	guo	PROPN
cana-6024	187	5	,	,	PUNCT
cana-6024	187	6	s.	s.	PROPN
cana-6024	187	7	,	,	PUNCT
cana-6024	187	8	yu	yu	PROPN
cana-6024	187	9	,	,	PUNCT
cana-6024	187	10	m.	m.	NOUN
cana-6024	187	11	,	,	PUNCT
cana-6024	187	12	xu	xu	PROPN
cana-6024	187	13	,	,	PUNCT
cana-6024	187	14	z.	z.	PROPN
cana-6024	187	15	,	,	PUNCT
cana-6024	187	16	yue	yue	PROPN
cana-6024	187	17	,	,	PUNCT
cana-6024	187	18	g.	g.	PROPN
cana-6024	187	19	,	,	PUNCT
cana-6024	187	20	cai	cai	PROPN
cana-6024	187	21	,	,	PUNCT
cana-6024	187	22	w.	w.	PROPN
cana-6024	187	23	&	&	CCONJ
cana-6024	187	24	tian	tian	PROPN
cana-6024	187	25	,	,	PUNCT
cana-6024	187	26	p.	p.	NOUN
cana-6024	187	27	2025	2025	NUM
cana-6024	187	28	,	,	PUNCT
cana-6024	187	29	"	"	PUNCT
cana-6024	187	30	study	study	NOUN
cana-6024	187	31	on	on	ADP
cana-6024	187	32	the	the	DET
cana-6024	187	33	attribute	attribute	NOUN
cana-6024	187	34	characteristics	characteristic	NOUN
cana-6024	187	35	of	of	ADP
cana-6024	187	36	road	road	NOUN
cana-6024	187	37	cracks	crack	NOUN
cana-6024	187	38	detected	detect	VERB
cana-6024	187	39	by	by	ADP
cana-6024	187	40	ground	ground	NOUN
cana-6024	187	41	-	-	PUNCT
cana-6024	187	42	penetrating	penetrate	VERB
cana-6024	187	43	radar	radar	NOUN
cana-6024	187	44	"	"	PUNCT
cana-6024	187	45	,	,	PUNCT
cana-6024	187	46	sensors	sensor	NOUN
cana-6024	187	47	,	,	PUNCT
cana-6024	187	48	vol	vol	NOUN
cana-6024	187	49	.	.	PROPN
cana-6024	188	1	25	25	NUM
cana-6024	188	2	,	,	PUNCT
cana-6024	188	3	no	no	INTJ
cana-6024	188	4	.	.	NOUN
cana-6024	188	5	3	3	NUM
cana-6024	188	6	,	,	PUNCT
cana-6024	188	7	pp	pp	ADJ
cana-6024	188	8	.	.	PUNCT
cana-6024	189	1	595	595	NUM
cana-6024	189	2	.	.	PUNCT
cana-6024	190	1	[	[	X
cana-6024	190	2	11	11	NUM
cana-6024	190	3	]	]	SYM
cana-6024	190	4	hu	hu	PROPN
cana-6024	190	5	,	,	PUNCT
cana-6024	190	6	d.	d.	PROPN
cana-6024	190	7	2025	2025	NUM
cana-6024	190	8	,	,	PUNCT
cana-6024	190	9	"	"	PUNCT
cana-6024	190	10	development	development	NOUN
cana-6024	190	11	of	of	ADP
cana-6024	190	12	an	an	DET
cana-6024	190	13	open	open	ADJ
cana-6024	190	14	gpr	gpr	NOUN
cana-6024	190	15	dataset	dataset	NOUN
cana-6024	190	16	for	for	ADP
cana-6024	190	17	enhanced	enhanced	ADJ
cana-6024	190	18	bridge	bridge	PROPN
cana-6024	190	19	deck	deck	NOUN
cana-6024	190	20	inspection	inspection	NOUN
cana-6024	190	21	"	"	PUNCT
cana-6024	190	22	,	,	PUNCT
cana-6024	190	23	remote	remote	ADJ
cana-6024	190	24	sensing	sensing	NOUN
cana-6024	190	25	,	,	PUNCT
cana-6024	190	26	vol	vol	NOUN
cana-6024	190	27	.	.	PROPN
cana-6024	190	28	17	17	NUM
cana-6024	190	29	,	,	PUNCT
cana-6024	190	30	no	no	INTJ
cana-6024	190	31	.	.	NOUN
cana-6024	190	32	13	13	NUM
cana-6024	190	33	,	,	PUNCT
cana-6024	190	34	pp	pp	ADJ
cana-6024	190	35	.	.	PUNCT
cana-6024	191	1	2210	2210	NUM
cana-6024	191	2	.	.	PUNCT
cana-6024	192	1	[	[	X
cana-6024	192	2	12	12	NUM
cana-6024	192	3	]	]	X
cana-6024	192	4	huang	huang	PROPN
cana-6024	192	5	,	,	PUNCT
cana-6024	192	6	h.	h.	PROPN
cana-6024	192	7	,	,	PUNCT
cana-6024	192	8	dai	dai	PROPN
cana-6024	192	9	,	,	PUNCT
cana-6024	192	10	z.	z.	PROPN
cana-6024	192	11	&	&	CCONJ
cana-6024	192	12	tang	tang	PROPN
cana-6024	192	13	,	,	PUNCT
cana-6024	192	14	p.	p.	NOUN
cana-6024	192	15	2024	2024	NUM
cana-6024	192	16	,	,	PUNCT
cana-6024	192	17	"	"	PUNCT
cana-6024	192	18	application	application	NOUN
cana-6024	192	19	of	of	ADP
cana-6024	192	20	microwave	microwave	NOUN
cana-6024	192	21	imaging	imaging	NOUN
cana-6024	192	22	combined	combine	VERB
cana-6024	192	23	with	with	ADP
cana-6024	192	24	electromagnetic	electromagnetic	PROPN
cana-6024	192	25	&	&	CCONJ
cana-6024	192	26	ray	ray	PROPN
cana-6024	192	27	localization	localization	NOUN
cana-6024	192	28	in	in	ADP
cana-6024	192	29	pipeline	pipeline	NOUN
cana-6024	192	30	deformation	deformation	NOUN
cana-6024	192	31	detection	detection	NOUN
cana-6024	192	32	"	"	PUNCT
cana-6024	192	33	,	,	PUNCT
cana-6024	192	34	journal	journal	NOUN
cana-6024	192	35	of	of	ADP
cana-6024	192	36	physics	physics	PROPN
cana-6024	192	37	:	:	PUNCT
cana-6024	192	38	conference	conference	NOUN
cana-6024	192	39	series	series	NOUN
cana-6024	192	40	,	,	PUNCT
cana-6024	192	41	vol	vol	NOUN
cana-6024	192	42	.	.	PROPN
cana-6024	192	43	2834	2834	NUM
cana-6024	192	44	,	,	PUNCT
cana-6024	192	45	no	no	INTJ
cana-6024	192	46	.	.	NOUN
cana-6024	192	47	1	1	NUM
cana-6024	192	48	,	,	PUNCT
cana-6024	192	49	pp	pp	ADJ
cana-6024	192	50	.	.	PUNCT
cana-6024	192	51	012149	012149	NUM
cana-6024	192	52	.	.	PUNCT
cana-6024	193	1	[	[	X
cana-6024	193	2	13	13	NUM
cana-6024	193	3	]	]	X
cana-6024	193	4	lavadiya	lavadiya	NOUN
cana-6024	193	5	,	,	PUNCT
cana-6024	193	6	d.n	d.n	PROPN
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cana-6024	193	8	&	&	CCONJ
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cana-6024	193	10	,	,	PUNCT
cana-6024	193	11	s.	s.	PROPN
cana-6024	193	12	2025	2025	NUM
cana-6024	193	13	,	,	PUNCT
cana-6024	193	14	"	"	PUNCT
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cana-6024	193	16	learning	learning	NOUN
cana-6024	193	17	models	model	NOUN
cana-6024	193	18	for	for	ADP
cana-6024	193	19	analysis	analysis	NOUN
cana-6024	193	20	of	of	ADP
cana-6024	193	21	non‐	non‐	ADJ
cana-6024	193	22	destructive	destructive	ADJ
cana-6024	193	23	evaluation	evaluation	NOUN
cana-6024	193	24	data	datum	NOUN
cana-6024	193	25	to	to	PART
cana-6024	193	26	evaluate	evaluate	VERB
cana-6024	193	27	reinforced	reinforce	VERB
cana-6024	193	28	concrete	concrete	ADJ
cana-6024	193	29	bridge	bridge	NOUN
cana-6024	193	30	decks	deck	NOUN
cana-6024	193	31	:	:	PUNCT
cana-6024	193	32	a	a	DET
cana-6024	193	33	survey	survey	NOUN
cana-6024	193	34	"	"	PUNCT
cana-6024	193	35	,	,	PUNCT
cana-6024	193	36	engineering	engineering	NOUN
cana-6024	193	37	reports	report	NOUN
cana-6024	193	38	,	,	PUNCT
cana-6024	193	39	vol	vol	NOUN
cana-6024	193	40	.	.	PROPN
cana-6024	193	41	7	7	NUM
cana-6024	193	42	,	,	PUNCT
cana-6024	193	43	no	no	INTJ
cana-6024	193	44	.	.	NOUN
cana-6024	193	45	1	1	NUM
cana-6024	193	46	.	.	PUNCT
cana-6024	194	1	[	[	X
cana-6024	194	2	14	14	NUM
cana-6024	194	3	]	]	PUNCT
cana-6024	194	4	łaziński	łaziński	NOUN
cana-6024	194	5	,	,	PUNCT
cana-6024	194	6	p.	p.	NOUN
cana-6024	194	7	,	,	PUNCT
cana-6024	194	8	jasiński	jasiński	PROPN
cana-6024	194	9	,	,	PUNCT
cana-6024	194	10	m.	m.	NOUN
cana-6024	194	11	,	,	PUNCT
cana-6024	194	12	uściłowski	uściłowski	ADJ
cana-6024	194	13	,	,	PUNCT
cana-6024	194	14	m.	m.	NOUN
cana-6024	194	15	,	,	PUNCT
cana-6024	194	16	piotrowski	piotrowski	PROPN
cana-6024	194	17	,	,	PUNCT
cana-6024	194	18	d.	d.	PROPN
cana-6024	194	19	&	&	CCONJ
cana-6024	194	20	ortyl	ortyl	PROPN
cana-6024	194	21	,	,	PUNCT
cana-6024	194	22	ł	ł	PROPN
cana-6024	194	23	.	.	PROPN
cana-6024	194	24	2025	2025	NUM
cana-6024	194	25	,	,	PUNCT
cana-6024	194	26	"	"	PUNCT
cana-6024	194	27	gpr	gpr	PROPN
cana-6024	194	28	in	in	ADP
cana-6024	194	29	damage	damage	NOUN
cana-6024	194	30	identification	identification	NOUN
cana-6024	194	31	of	of	ADP
cana-6024	194	32	concrete	concrete	ADJ
cana-6024	194	33	elements	element	NOUN
cana-6024	194	34	—	—	PUNCT
cana-6024	194	35	a	a	DET
cana-6024	194	36	case	case	NOUN
cana-6024	194	37	study	study	NOUN
cana-6024	194	38	of	of	ADP
cana-6024	194	39	diagnostics	diagnostic	NOUN
cana-6024	194	40	in	in	ADP
cana-6024	194	41	a	a	DET
cana-6024	194	42	prestressed	prestressed	ADJ
cana-6024	194	43	bridge	bridge	NOUN
cana-6024	194	44	"	"	PUNCT
cana-6024	194	45	,	,	PUNCT
cana-6024	194	46	remote	remote	ADJ
cana-6024	194	47	sensing	sensing	NOUN
cana-6024	194	48	,	,	PUNCT
cana-6024	194	49	vol	vol	NOUN
cana-6024	194	50	.	.	PROPN
cana-6024	194	51	17	17	NUM
cana-6024	194	52	,	,	PUNCT
cana-6024	194	53	no	no	INTJ
cana-6024	194	54	.	.	NOUN
cana-6024	194	55	1	1	NUM
cana-6024	194	56	,	,	PUNCT
cana-6024	194	57	pp	pp	ADJ
cana-6024	194	58	.	.	PUNCT
cana-6024	194	59	35	35	NUM
cana-6024	194	60	.	.	PUNCT
cana-6024	195	1	[	[	X
cana-6024	195	2	15	15	NUM
cana-6024	195	3	]	]	X
cana-6024	195	4	lee	lee	PROPN
cana-6024	195	5	,	,	PUNCT
cana-6024	195	6	t.	t.	PROPN
cana-6024	195	7	,	,	PUNCT
cana-6024	195	8	kim	kim	PROPN
cana-6024	195	9	,	,	PUNCT
cana-6024	195	10	d.	d.	PROPN
cana-6024	195	11	,	,	PUNCT
cana-6024	195	12	cho	cho	PROPN
cana-6024	195	13	,	,	PUNCT
cana-6024	195	14	s.	s.	PROPN
cana-6024	195	15	&	&	CCONJ
cana-6024	195	16	min	min	PROPN
cana-6024	195	17	,	,	PUNCT
cana-6024	195	18	o.k	o.k	PROPN
cana-6024	195	19	.	.	PROPN
cana-6024	195	20	2025	2025	NUM
cana-6024	195	21	,	,	PUNCT
cana-6024	195	22	"	"	PUNCT
cana-6024	195	23	advancements	advancement	NOUN
cana-6024	195	24	in	in	ADP
cana-6024	195	25	surface	surface	NOUN
cana-6024	195	26	coatings	coating	NOUN
cana-6024	195	27	and	and	CCONJ
cana-6024	195	28	inspection	inspection	NOUN
cana-6024	195	29	technologies	technology	NOUN
cana-6024	195	30	for	for	ADP
cana-6024	195	31	extending	extend	VERB
cana-6024	195	32	the	the	DET
cana-6024	195	33	service	service	NOUN
cana-6024	195	34	life	life	NOUN
cana-6024	195	35	of	of	ADP
cana-6024	195	36	concrete	concrete	ADJ
cana-6024	195	37	structures	structure	NOUN
cana-6024	195	38	in	in	ADP
cana-6024	195	39	marine	marine	ADJ
cana-6024	195	40	environments	environment	NOUN
cana-6024	195	41	:	:	PUNCT
cana-6024	195	42	a	a	DET
cana-6024	195	43	critical	critical	ADJ
cana-6024	195	44	review	review	NOUN
cana-6024	195	45	"	"	PUNCT
cana-6024	195	46	,	,	PUNCT
cana-6024	195	47	buildings	building	NOUN
cana-6024	195	48	,	,	PUNCT
cana-6024	195	49	vol	vol	NOUN
cana-6024	195	50	.	.	PROPN
cana-6024	195	51	15	15	NUM
cana-6024	195	52	,	,	PUNCT
cana-6024	195	53	no	no	INTJ
cana-6024	195	54	.	.	NOUN
cana-6024	195	55	3	3	NUM
cana-6024	195	56	,	,	PUNCT
cana-6024	195	57	pp	pp	ADJ
cana-6024	195	58	.	.	PUNCT
cana-6024	196	1	304	304	NUM
cana-6024	196	2	.	.	PUNCT
cana-6024	197	1	[	[	X
cana-6024	197	2	16	16	NUM
cana-6024	197	3	]	]	SYM
cana-6024	197	4	li	li	PROPN
cana-6024	197	5	,	,	PUNCT
cana-6024	197	6	c.	c.	PROPN
cana-6024	197	7	,	,	PUNCT
cana-6024	197	8	wang	wang	PROPN
cana-6024	197	9	,	,	PUNCT
cana-6024	197	10	y.	y.	PROPN
cana-6024	197	11	,	,	PUNCT
cana-6024	197	12	qibing	qibe	VERB
cana-6024	197	13	,	,	PUNCT
cana-6024	197	14	m.	m.	NOUN
cana-6024	197	15	&	&	CCONJ
cana-6024	197	16	xiaorong	xiaorong	PROPN
cana-6024	197	17	,	,	PUNCT
cana-6024	197	18	w.	w.	PROPN
cana-6024	197	19	2025	2025	NUM
cana-6024	197	20	,	,	PUNCT
cana-6024	197	21	"	"	PUNCT
cana-6024	197	22	multi	multi	ADJ
cana-6024	197	23	-	-	ADJ
cana-6024	197	24	domain	domain	ADJ
cana-6024	197	25	feature	feature	NOUN
cana-6024	197	26	analysis	analysis	NOUN
cana-6024	197	27	and	and	CCONJ
cana-6024	197	28	application	application	NOUN
cana-6024	197	29	research	research	NOUN
cana-6024	197	30	of	of	ADP
cana-6024	197	31	gpr	gpr	PROPN
cana-6024	197	32	aliased	aliase	VERB
cana-6024	197	33	signals	signal	NOUN
cana-6024	197	34	"	"	PUNCT
cana-6024	197	35	,	,	PUNCT
cana-6024	197	36	sensors	sensor	NOUN
cana-6024	197	37	,	,	PUNCT
cana-6024	197	38	vol	vol	NOUN
cana-6024	197	39	.	.	PROPN
cana-6024	197	40	25	25	NUM
cana-6024	197	41	,	,	PUNCT
cana-6024	197	42	no	no	INTJ
cana-6024	197	43	.	.	NOUN
cana-6024	197	44	9	9	NUM
cana-6024	197	45	,	,	PUNCT
cana-6024	197	46	pp	pp	ADJ
cana-6024	197	47	.	.	PUNCT
cana-6024	197	48	2741	2741	NUM
cana-6024	197	49	.	.	PUNCT
cana-6024	198	1	[	[	X
cana-6024	198	2	17	17	NUM
cana-6024	198	3	]	]	X
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cana-6024	198	5	,	,	PUNCT
cana-6024	198	6	l.	l.	PROPN
cana-6024	198	7	,	,	PUNCT
cana-6024	198	8	shen	shen	PROPN
cana-6024	198	9	,	,	PUNCT
cana-6024	198	10	b.	b.	PROPN
cana-6024	198	11	,	,	PUNCT
cana-6024	198	12	huang	huang	PROPN
cana-6024	198	13	,	,	PUNCT
cana-6024	198	14	s.	s.	PROPN
cana-6024	198	15	,	,	PUNCT
cana-6024	198	16	liu	liu	PROPN
cana-6024	198	17	,	,	PUNCT
cana-6024	198	18	r.	r.	PROPN
cana-6024	198	19	,	,	PUNCT
cana-6024	198	20	liao	liao	PROPN
cana-6024	198	21	,	,	PUNCT
cana-6024	198	22	w.	w.	PROPN
cana-6024	198	23	,	,	PUNCT
cana-6024	198	24	wang	wang	PROPN
cana-6024	198	25	,	,	PUNCT
cana-6024	198	26	b.	b.	PROPN
cana-6024	198	27	&	&	CCONJ
cana-6024	198	28	diao	diao	PROPN
cana-6024	198	29	,	,	PUNCT
cana-6024	198	30	s.	s.	PROPN
cana-6024	198	31	2025	2025	NUM
cana-6024	198	32	,	,	PUNCT
cana-6024	198	33	"	"	PUNCT
cana-6024	198	34	binocular	binocular	ADJ
cana-6024	198	35	video	video	NOUN
cana-6024	198	36	-	-	PUNCT
cana-6024	198	37	based	base	VERB
cana-6024	198	38	automatic	automatic	ADJ
cana-6024	198	39	pixel	pixel	ADJ
cana-6024	198	40	-	-	PUNCT
cana-6024	198	41	level	level	NOUN
cana-6024	198	42	crack	crack	NOUN
cana-6024	198	43	detection	detection	NOUN
cana-6024	198	44	and	and	CCONJ
cana-6024	198	45	quantification	quantification	NOUN
cana-6024	198	46	using	use	VERB
cana-6024	198	47	deep	deep	ADJ
cana-6024	198	48	convolutional	convolutional	ADJ
cana-6024	198	49	neural	neural	ADJ
cana-6024	198	50	networks	network	NOUN
cana-6024	198	51	for	for	ADP
cana-6024	198	52	concrete	concrete	ADJ
cana-6024	198	53	structures	structure	NOUN
cana-6024	198	54	"	"	PUNCT
cana-6024	198	55	,	,	PUNCT
cana-6024	198	56	buildings	building	NOUN
cana-6024	198	57	,	,	PUNCT
cana-6024	198	58	vol	vol	NOUN
cana-6024	198	59	.	.	PROPN
cana-6024	198	60	15	15	NUM
cana-6024	198	61	,	,	PUNCT
cana-6024	198	62	no	no	INTJ
cana-6024	198	63	.	.	NOUN
cana-6024	198	64	2	2	NUM
cana-6024	198	65	,	,	PUNCT
cana-6024	198	66	pp	pp	ADJ
cana-6024	198	67	.	.	PUNCT
cana-6024	198	68	258	258	NUM
cana-6024	198	69	.	.	PUNCT
cana-6024	199	1	[	[	X
cana-6024	199	2	18	18	NUM
cana-6024	199	3	]	]	X
cana-6024	199	4	liu	liu	PROPN
cana-6024	199	5	,	,	PUNCT
cana-6024	199	6	n.	n.	PROPN
cana-6024	199	7	,	,	PUNCT
cana-6024	199	8	ge	ge	PROPN
cana-6024	199	9	,	,	PUNCT
cana-6024	199	10	y.	y.	PROPN
cana-6024	199	11	,	,	PUNCT
cana-6024	199	12	bai	bai	PROPN
cana-6024	199	13	,	,	PUNCT
cana-6024	199	14	x.	x.	PROPN
cana-6024	199	15	,	,	PUNCT
cana-6024	199	16	zhang	zhang	PROPN
cana-6024	199	17	,	,	PUNCT
cana-6024	199	18	z.	z.	PROPN
cana-6024	199	19	,	,	PUNCT
cana-6024	199	20	shangguan	shangguan	PROPN
cana-6024	199	21	,	,	PUNCT
cana-6024	199	22	y.	y.	PROPN
cana-6024	199	23	&	&	CCONJ
cana-6024	199	24	li	li	PROPN
cana-6024	199	25	,	,	PUNCT
cana-6024	199	26	y.	y.	PROPN
cana-6024	199	27	2025	2025	NUM
cana-6024	199	28	,	,	PUNCT
cana-6024	199	29	"	"	PUNCT
cana-6024	199	30	research	research	NOUN
cana-6024	199	31	on	on	ADP
cana-6024	199	32	damage	damage	NOUN
cana-6024	199	33	detection	detection	NOUN
cana-6024	199	34	methods	method	NOUN
cana-6024	199	35	for	for	ADP
cana-6024	199	36	concrete	concrete	ADJ
cana-6024	199	37	beams	beam	NOUN
cana-6024	199	38	based	base	VERB
cana-6024	199	39	on	on	ADP
cana-6024	199	40	ground	ground	NOUN
cana-6024	199	41	penetrating	penetrate	VERB
cana-6024	199	42	radar	radar	NOUN
cana-6024	199	43	and	and	CCONJ
cana-6024	199	44	convolutional	convolutional	ADJ
cana-6024	199	45	neural	neural	ADJ
cana-6024	199	46	networks	network	NOUN
cana-6024	199	47	"	"	PUNCT
cana-6024	199	48	,	,	PUNCT
cana-6024	199	49	applied	apply	VERB
cana-6024	199	50	sciences	science	NOUN
cana-6024	199	51	,	,	PUNCT
cana-6024	199	52	vol	vol	NOUN
cana-6024	199	53	.	.	PROPN
cana-6024	199	54	15	15	NUM
cana-6024	199	55	,	,	PUNCT
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cana-6024	199	58	4	4	NUM
cana-6024	199	59	,	,	PUNCT
cana-6024	199	60	pp	pp	ADJ
cana-6024	199	61	.	.	PUNCT
cana-6024	199	62	1882	1882	NUM
cana-6024	199	63	.	.	PUNCT
cana-6024	200	1	[	[	X
cana-6024	200	2	19	19	NUM
cana-6024	200	3	]	]	X
cana-6024	200	4	luo	luo	PROPN
cana-6024	200	5	,	,	PUNCT
cana-6024	200	6	x.	x.	PROPN
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cana-6024	200	9	,	,	PUNCT
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cana-6024	200	11	2025	2025	NUM
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cana-6024	200	13	"	"	PUNCT
cana-6024	200	14	tensile	tensile	NOUN
cana-6024	200	15	strength	strength	NOUN
cana-6024	200	16	estimation	estimation	NOUN
cana-6024	200	17	of	of	ADP
cana-6024	200	18	uhpfrc	uhpfrc	NOUN
cana-6024	200	19	based	base	VERB
cana-6024	200	20	on	on	ADP
cana-6024	200	21	predicted	predict	VERB
cana-6024	200	22	cracking	cracking	NOUN
cana-6024	200	23	location	location	NOUN
cana-6024	200	24	using	use	VERB
cana-6024	200	25	deep	deep	ADJ
cana-6024	200	26	learning	learning	NOUN
cana-6024	200	27	"	"	PUNCT
cana-6024	200	28	,	,	PUNCT
cana-6024	200	29	materials	material	NOUN
cana-6024	200	30	,	,	PUNCT
cana-6024	200	31	vol	vol	NOUN
cana-6024	200	32	.	.	PROPN
cana-6024	200	33	18	18	NUM
cana-6024	200	34	,	,	PUNCT
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cana-6024	200	36	.	.	NOUN
cana-6024	200	37	10	10	NUM
cana-6024	200	38	,	,	PUNCT
cana-6024	200	39	pp	pp	ADJ
cana-6024	200	40	.	.	PUNCT
cana-6024	200	41	2237	2237	NUM
cana-6024	200	42	.	.	PUNCT
cana-6024	201	1	[	[	X
cana-6024	201	2	20	20	NUM
cana-6024	201	3	]	]	SYM
cana-6024	201	4	mardanshahi	mardanshahi	NOUN
cana-6024	201	5	,	,	PUNCT
cana-6024	201	6	a.	a.	NOUN
cana-6024	201	7	,	,	PUNCT
cana-6024	201	8	sreekumar	sreekumar	PROPN
cana-6024	201	9	,	,	PUNCT
cana-6024	201	10	a.	a.	PROPN
cana-6024	201	11	,	,	PUNCT
cana-6024	201	12	yang	yang	PROPN
cana-6024	201	13	,	,	PUNCT
cana-6024	201	14	x.	x.	PROPN
cana-6024	201	15	,	,	PUNCT
cana-6024	201	16	barman	barman	PROPN
cana-6024	201	17	,	,	PUNCT
cana-6024	201	18	s.k	s.k	PROPN
cana-6024	201	19	.	.	PROPN
cana-6024	201	20	&	&	CCONJ
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cana-6024	201	22	,	,	PUNCT
cana-6024	201	23	d.	d.	PROPN
cana-6024	201	24	2025	2025	NUM
cana-6024	201	25	,	,	PUNCT
cana-6024	201	26	"	"	PUNCT
cana-6024	201	27	sensing	sense	VERB
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cana-6024	201	29	for	for	ADP
cana-6024	201	30	structural	structural	ADJ
cana-6024	201	31	health	health	NOUN
cana-6024	201	32	monitoring	monitoring	NOUN
cana-6024	201	33	:	:	PUNCT
cana-6024	201	34	a	a	DET
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cana-6024	201	36	-	-	PUNCT
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cana-6024	201	38	-	-	PUNCT
cana-6024	201	39	the	the	DET
cana-6024	201	40	-	-	PUNCT
cana-6024	201	41	art	art	NOUN
cana-6024	201	42	review	review	NOUN
cana-6024	201	43	on	on	ADP
cana-6024	201	44	performance	performance	NOUN
cana-6024	201	45	criteria	criterion	NOUN
cana-6024	201	46	and	and	CCONJ
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cana-6024	201	48	-	-	PUNCT
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cana-6024	201	51	"	"	PUNCT
cana-6024	201	52	,	,	PUNCT
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cana-6024	201	54	,	,	PUNCT
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cana-6024	201	56	.	.	PROPN
cana-6024	201	57	25	25	NUM
cana-6024	201	58	,	,	PUNCT
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cana-6024	201	61	5	5	NUM
cana-6024	201	62	,	,	PUNCT
cana-6024	201	63	pp	pp	ADJ
cana-6024	201	64	.	.	PUNCT
cana-6024	201	65	1424	1424	NUM
cana-6024	201	66	.	.	PUNCT
cana-6024	202	1	[	[	X
cana-6024	202	2	21	21	NUM
cana-6024	202	3	]	]	X
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cana-6024	202	5	,	,	PUNCT
cana-6024	202	6	g.	g.	PROPN
cana-6024	202	7	,	,	PUNCT
cana-6024	202	8	yu	yu	PROPN
cana-6024	202	9	,	,	PUNCT
cana-6024	202	10	x.	x.	PROPN
cana-6024	202	11	&	&	CCONJ
cana-6024	202	12	zhang	zhang	PROPN
cana-6024	202	13	,	,	PUNCT
cana-6024	202	14	x.	x.	NOUN
cana-6024	202	15	2025	2025	NUM
cana-6024	202	16	,	,	PUNCT
cana-6024	202	17	"	"	PUNCT
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cana-6024	202	19	of	of	ADP
cana-6024	202	20	napl	napl	NOUN
cana-6024	202	21	contamination	contamination	NOUN
cana-6024	202	22	occurrence	occurrence	NOUN
cana-6024	202	23	states	state	NOUN
cana-6024	202	24	in	in	ADP
cana-6024	202	25	low	low	ADJ
cana-6024	202	26	-	-	PUNCT
cana-6024	202	27	permeability	permeability	NOUN
cana-6024	202	28	sites	site	NOUN
cana-6024	202	29	using	use	VERB
cana-6024	202	30	unet	unet	NOUN
cana-6024	202	31	segmentation	segmentation	NOUN
cana-6024	202	32	and	and	CCONJ
cana-6024	202	33	electrical	electrical	ADJ
cana-6024	202	34	resistivity	resistivity	NOUN
cana-6024	202	35	tomography	tomography	NOUN
cana-6024	202	36	"	"	PUNCT
cana-6024	202	37	,	,	PUNCT
cana-6024	202	38	applied	apply	VERB
cana-6024	202	39	sciences	science	NOUN
cana-6024	202	40	,	,	PUNCT
cana-6024	202	41	vol	vol	NOUN
cana-6024	202	42	.	.	PROPN
cana-6024	202	43	15	15	NUM
cana-6024	202	44	,	,	PUNCT
cana-6024	202	45	no	no	INTJ
cana-6024	202	46	.	.	NOUN
cana-6024	202	47	13	13	NUM
cana-6024	202	48	,	,	PUNCT
cana-6024	202	49	pp	pp	ADJ
cana-6024	202	50	.	.	PUNCT
cana-6024	202	51	7109	7109	NUM
cana-6024	202	52	.	.	PUNCT
cana-6024	203	1	[	[	X
cana-6024	203	2	22	22	NUM
cana-6024	203	3	]	]	PUNCT
cana-6024	203	4	patrizia	patrizia	PROPN
cana-6024	203	5	,	,	PUNCT
cana-6024	203	6	p.	p.	NOUN
cana-6024	203	7	,	,	PUNCT
cana-6024	203	8	rocco	rocco	PROPN
cana-6024	203	9	,	,	PUNCT
cana-6024	203	10	c.	c.	PROPN
cana-6024	203	11	,	,	PUNCT
cana-6024	203	12	fabio	fabio	PROPN
cana-6024	203	13	,	,	PUNCT
cana-6024	203	14	m.	m.	PROPN
cana-6024	203	15	&	&	CCONJ
cana-6024	203	16	fabrizio	fabrizio	PROPN
cana-6024	203	17	,	,	PUNCT
cana-6024	203	18	f.	f.	PROPN
cana-6024	203	19	2025	2025	NUM
cana-6024	203	20	,	,	PUNCT
cana-6024	203	21	"	"	PUNCT
cana-6024	203	22	electromagnetic	electromagnetic	ADJ
cana-6024	203	23	techniques	technique	NOUN
cana-6024	203	24	applied	apply	VERB
cana-6024	203	25	to	to	ADP
cana-6024	203	26	cultural	cultural	ADJ
cana-6024	203	27	heritage	heritage	NOUN
cana-6024	203	28	diagnosis	diagnosis	NOUN
cana-6024	203	29	:	:	PUNCT
cana-6024	203	30	state	state	NOUN
cana-6024	203	31	of	of	ADP
cana-6024	203	32	the	the	DET
cana-6024	203	33	art	art	NOUN
cana-6024	203	34	and	and	CCONJ
cana-6024	203	35	future	future	ADJ
cana-6024	203	36	prospective	prospective	ADJ
cana-6024	203	37	:	:	PUNCT
cana-6024	203	38	a	a	DET
cana-6024	203	39	comprehensive	comprehensive	ADJ
cana-6024	203	40	review	review	NOUN
cana-6024	203	41	"	"	PUNCT
cana-6024	203	42	,	,	PUNCT
cana-6024	203	43	applied	apply	VERB
cana-6024	203	44	sciences	science	NOUN
cana-6024	203	45	,	,	PUNCT
cana-6024	203	46	vol	vol	NOUN
cana-6024	203	47	.	.	PROPN
cana-6024	203	48	15	15	NUM
cana-6024	203	49	,	,	PUNCT
cana-6024	203	50	no	no	INTJ
cana-6024	203	51	.	.	NOUN
cana-6024	203	52	12	12	NUM
cana-6024	203	53	,	,	PUNCT
cana-6024	203	54	pp	pp	ADJ
cana-6024	203	55	.	.	PUNCT
cana-6024	203	56	6402	6402	NUM
cana-6024	203	57	.	.	PUNCT
cana-6024	204	1	communications	communication	NOUN
cana-6024	204	2	on	on	ADP
cana-6024	204	3	applied	apply	VERB
cana-6024	204	4	nonlinear	nonlinear	ADJ
cana-6024	204	5	analysis	analysis	NOUN
cana-6024	204	6	issn	issn	NOUN
cana-6024	204	7	:	:	PUNCT
cana-6024	204	8	1074	1074	NUM
cana-6024	204	9	-	-	PUNCT
cana-6024	204	10	133x	133x	NUM
cana-6024	204	11	vol	vol	NOUN
cana-6024	204	12	31	31	NUM
cana-6024	204	13	no	no	NOUN
cana-6024	204	14	.	.	PUNCT
cana-6024	205	1	8s	8s	PROPN
cana-6024	205	2	(	(	PUNCT
cana-6024	205	3	2024	2024	NUM
cana-6024	205	4	)	)	PUNCT
cana-6024	205	5	1154	1154	NUM
cana-6024	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6024	206	1	[	[	X
cana-6024	206	2	23	23	NUM
cana-6024	206	3	]	]	PUNCT
cana-6024	206	4	poncetti	poncetti	NOUN
cana-6024	206	5	,	,	PUNCT
cana-6024	206	6	b.l	b.l	PROPN
cana-6024	206	7	.	.	PROPN
cana-6024	206	8	,	,	PUNCT
cana-6024	206	9	ruiz	ruiz	PROPN
cana-6024	206	10	,	,	PUNCT
cana-6024	206	11	d.v	d.v	PROPN
cana-6024	206	12	.	.	PROPN
cana-6024	206	13	,	,	PUNCT
cana-6024	206	14	assis	assis	PROPN
cana-6024	206	15	leandro	leandro	PROPN
cana-6024	206	16	,	,	PUNCT
cana-6024	206	17	s.d	s.d	PROPN
cana-6024	206	18	.	.	PROPN
cana-6024	206	19	,	,	PUNCT
cana-6024	206	20	machado	machado	PROPN
cana-6024	206	21	,	,	PUNCT
cana-6024	206	22	l.b	l.b	PROPN
cana-6024	206	23	.	.	PROPN
cana-6024	206	24	,	,	PUNCT
cana-6024	206	25	silva	silva	PROPN
cana-6024	206	26	tiago	tiago	PROPN
cana-6024	206	27	,	,	PUNCT
cana-6024	206	28	b.d	b.d	PROPN
cana-6024	206	29	.	.	PROPN
cana-6024	206	30	,	,	PUNCT
cana-6024	206	31	akinlalu	akinlalu	PROPN
cana-6024	206	32	,	,	PUNCT
cana-6024	206	33	a.a	a.a	PROPN
cana-6024	206	34	.	.	PROPN
cana-6024	206	35	&	&	CCONJ
cana-6024	206	36	futai	futai	PROPN
cana-6024	206	37	,	,	PUNCT
cana-6024	206	38	m.m	m.m	PROPN
cana-6024	206	39	.	.	PROPN
cana-6024	206	40	2025	2025	NUM
cana-6024	206	41	,	,	PUNCT
cana-6024	206	42	"	"	PUNCT
cana-6024	206	43	tunnel	tunnel	NOUN
cana-6024	206	44	inspection	inspection	NOUN
cana-6024	206	45	review	review	NOUN
cana-6024	206	46	:	:	PUNCT
cana-6024	206	47	normative	normative	ADJ
cana-6024	206	48	practices	practice	NOUN
cana-6024	206	49	and	and	CCONJ
cana-6024	206	50	non	non	ADJ
cana-6024	206	51	-	-	ADJ
cana-6024	206	52	destructive	destructive	ADJ
cana-6024	206	53	method	method	NOUN
cana-6024	206	54	advancements	advancement	NOUN
cana-6024	206	55	for	for	ADP
cana-6024	206	56	tunnels	tunnel	NOUN
cana-6024	206	57	with	with	ADP
cana-6024	206	58	concrete	concrete	ADJ
cana-6024	206	59	cover	cover	NOUN
cana-6024	206	60	"	"	PUNCT
cana-6024	206	61	,	,	PUNCT
cana-6024	206	62	applied	apply	VERB
cana-6024	206	63	mechanics	mechanic	NOUN
cana-6024	206	64	,	,	PUNCT
cana-6024	206	65	vol	vol	NOUN
cana-6024	206	66	.	.	PROPN
cana-6024	206	67	6	6	NUM
cana-6024	206	68	,	,	PUNCT
cana-6024	206	69	no	no	INTJ
cana-6024	206	70	.	.	NOUN
cana-6024	206	71	2	2	NUM
cana-6024	206	72	,	,	PUNCT
cana-6024	206	73	pp	pp	ADJ
cana-6024	206	74	.	.	PUNCT
cana-6024	207	1	41	41	NUM
cana-6024	207	2	.	.	PUNCT
cana-6024	208	1	[	[	X
cana-6024	208	2	24	24	NUM
cana-6024	208	3	]	]	X
cana-6024	208	4	prakash	prakash	PROPN
cana-6024	208	5	,	,	PUNCT
cana-6024	208	6	v.	v.	PROPN
cana-6024	208	7	,	,	PUNCT
cana-6024	208	8	debono	debono	PROPN
cana-6024	208	9	,	,	PUNCT
cana-6024	208	10	c.j	c.j	PROPN
cana-6024	208	11	.	.	PROPN
cana-6024	208	12	,	,	PUNCT
cana-6024	208	13	musarat	musarat	PROPN
cana-6024	208	14	,	,	PUNCT
cana-6024	208	15	m.a	m.a	PROPN
cana-6024	208	16	.	.	PROPN
cana-6024	208	17	,	,	PUNCT
cana-6024	208	18	borg	borg	PROPN
cana-6024	208	19	,	,	PUNCT
cana-6024	208	20	r.p	r.p	PROPN
cana-6024	208	21	.	.	PROPN
cana-6024	208	22	,	,	PUNCT
cana-6024	208	23	dylan	dylan	PROPN
cana-6024	208	24	,	,	PUNCT
cana-6024	208	25	s.	s.	PROPN
cana-6024	208	26	,	,	PUNCT
cana-6024	208	27	ding	ding	PROPN
cana-6024	208	28	,	,	PUNCT
cana-6024	208	29	w.	w.	PROPN
cana-6024	208	30	&	&	CCONJ
cana-6024	208	31	jiangpeng	jiangpeng	PROPN
cana-6024	208	32	,	,	PUNCT
cana-6024	208	33	s.	s.	PROPN
cana-6024	208	34	2025	2025	NUM
cana-6024	208	35	,	,	PUNCT
cana-6024	208	36	"	"	PUNCT
cana-6024	208	37	structural	structural	ADJ
cana-6024	208	38	health	health	NOUN
cana-6024	208	39	monitoring	monitoring	NOUN
cana-6024	208	40	of	of	ADP
cana-6024	208	41	concrete	concrete	ADJ
cana-6024	208	42	bridges	bridge	NOUN
cana-6024	208	43	through	through	ADP
cana-6024	208	44	artificial	artificial	ADJ
cana-6024	208	45	intelligence	intelligence	NOUN
cana-6024	208	46	:	:	PUNCT
cana-6024	208	47	a	a	DET
cana-6024	208	48	narrative	narrative	NOUN
cana-6024	208	49	review	review	NOUN
cana-6024	208	50	"	"	PUNCT
cana-6024	208	51	,	,	PUNCT
cana-6024	208	52	applied	apply	VERB
cana-6024	208	53	sciences	science	NOUN
cana-6024	208	54	,	,	PUNCT
cana-6024	208	55	vol	vol	NOUN
cana-6024	208	56	.	.	PROPN
cana-6024	208	57	15	15	NUM
cana-6024	208	58	,	,	PUNCT
cana-6024	208	59	no	no	INTJ
cana-6024	208	60	.	.	NOUN
cana-6024	208	61	9	9	NUM
cana-6024	208	62	,	,	PUNCT
cana-6024	208	63	pp	pp	ADJ
cana-6024	208	64	.	.	PUNCT
cana-6024	208	65	4855	4855	NUM
cana-6024	208	66	.	.	PUNCT
cana-6024	209	1	[	[	X
cana-6024	209	2	25	25	NUM
cana-6024	209	3	]	]	X
cana-6024	209	4	qiu	qiu	PROPN
cana-6024	209	5	,	,	PUNCT
cana-6024	209	6	q.	q.	PROPN
cana-6024	209	7	&	&	CCONJ
cana-6024	209	8	lau	lau	PROPN
cana-6024	209	9	,	,	PUNCT
cana-6024	209	10	d.	d.	PROPN
cana-6024	209	11	2024	2024	NUM
cana-6024	209	12	,	,	PUNCT
cana-6024	209	13	"	"	PUNCT
cana-6024	209	14	assessment	assessment	NOUN
cana-6024	209	15	of	of	ADP
cana-6024	209	16	trees	tree	NOUN
cana-6024	209	17	’	'	PUNCT
cana-6024	209	18	structural	structural	ADJ
cana-6024	209	19	defects	defect	NOUN
cana-6024	209	20	via	via	ADP
cana-6024	209	21	hybrid	hybrid	ADJ
cana-6024	209	22	deep	deep	ADJ
cana-6024	209	23	learning	learning	NOUN
cana-6024	209	24	methods	method	NOUN
cana-6024	209	25	used	use	VERB
cana-6024	209	26	in	in	ADP
cana-6024	209	27	unmanned	unmanned	ADJ
cana-6024	209	28	aerial	aerial	ADJ
cana-6024	209	29	vehicle	vehicle	NOUN
cana-6024	209	30	(	(	PUNCT
cana-6024	209	31	uav	uav	PROPN
cana-6024	209	32	)	)	PUNCT
cana-6024	209	33	observations	observation	NOUN
cana-6024	209	34	"	"	PUNCT
cana-6024	209	35	,	,	PUNCT
cana-6024	209	36	forests	forest	NOUN
cana-6024	209	37	,	,	PUNCT
cana-6024	209	38	vol	vol	NOUN
cana-6024	209	39	.	.	PROPN
cana-6024	209	40	15	15	NUM
cana-6024	209	41	,	,	PUNCT
cana-6024	209	42	no	no	INTJ
cana-6024	209	43	.	.	NOUN
cana-6024	209	44	8	8	NUM
cana-6024	209	45	,	,	PUNCT
cana-6024	209	46	pp	pp	ADJ
cana-6024	209	47	.	.	PUNCT
cana-6024	210	1	1374	1374	NUM
cana-6024	210	2	.	.	PUNCT
cana-6024	211	1	[	[	X
cana-6024	211	2	26	26	NUM
cana-6024	211	3	]	]	X
cana-6024	211	4	rakin	rakin	NOUN
cana-6024	211	5	,	,	PUNCT
cana-6024	211	6	r.z	r.z	PROPN
cana-6024	211	7	.	.	PROPN
cana-6024	211	8	,	,	PUNCT
cana-6024	211	9	mahmudur	mahmudur	PROPN
cana-6024	211	10	,	,	PUNCT
cana-6024	211	11	r.	r.	PROPN
cana-6024	211	12	,	,	PUNCT
cana-6024	211	13	borsa	borsa	PROPN
cana-6024	211	14	,	,	PUNCT
cana-6024	211	15	k.f	k.f	PROPN
cana-6024	211	16	.	.	PROPN
cana-6024	211	17	,	,	PUNCT
cana-6024	211	18	farid	farid	PROPN
cana-6024	211	19	,	,	PUNCT
cana-6024	211	20	f.a	f.a	PROPN
cana-6024	211	21	.	.	PROPN
cana-6024	211	22	,	,	PUNCT
cana-6024	211	23	shakila	shakila	PROPN
cana-6024	211	24	,	,	PUNCT
cana-6024	211	25	r.	r.	PROPN
cana-6024	211	26	,	,	PUNCT
cana-6024	211	27	jia	jia	PROPN
cana-6024	211	28	,	,	PUNCT
cana-6024	211	29	u.	u.	PROPN
cana-6024	211	30	&	&	CCONJ
cana-6024	211	31	karim	karim	PROPN
cana-6024	211	32	,	,	PUNCT
cana-6024	211	33	h.a	h.a	PROPN
cana-6024	211	34	.	.	PROPN
cana-6024	211	35	2025	2025	NUM
cana-6024	211	36	,	,	PUNCT
cana-6024	211	37	"	"	PUNCT
cana-6024	211	38	towards	towards	ADP
cana-6024	211	39	safer	safe	ADJ
cana-6024	211	40	cities	city	NOUN
cana-6024	211	41	:	:	PUNCT
cana-6024	211	42	ai	ai	AUX
cana-6024	211	43	-	-	PUNCT
cana-6024	211	44	powered	power	VERB
cana-6024	211	45	infrastructure	infrastructure	NOUN
cana-6024	211	46	fault	fault	NOUN
cana-6024	211	47	detection	detection	NOUN
cana-6024	211	48	based	base	VERB
cana-6024	211	49	on	on	ADP
cana-6024	211	50	yolov11	yolov11	NOUN
cana-6024	211	51	"	"	PUNCT
cana-6024	211	52	,	,	PUNCT
cana-6024	211	53	future	future	ADJ
cana-6024	211	54	internet	internet	NOUN
cana-6024	211	55	,	,	PUNCT
cana-6024	211	56	vol	vol	NOUN
cana-6024	211	57	.	.	PROPN
cana-6024	211	58	17	17	NUM
cana-6024	211	59	,	,	PUNCT
cana-6024	211	60	no	no	INTJ
cana-6024	211	61	.	.	NOUN
cana-6024	211	62	5	5	NUM
cana-6024	211	63	,	,	PUNCT
cana-6024	211	64	pp	pp	ADJ
cana-6024	211	65	.	.	PUNCT
cana-6024	211	66	187	187	NUM
cana-6024	211	67	.	.	PUNCT
cana-6024	212	1	[	[	X
cana-6024	212	2	27	27	NUM
cana-6024	212	3	]	]	X
cana-6024	212	4	seckin	seckin	ADJ
cana-6024	212	5	,	,	PUNCT
cana-6024	212	6	m.	m.	NOUN
cana-6024	212	7	,	,	PUNCT
cana-6024	212	8	demircioglu	demircioglu	PROPN
cana-6024	212	9	,	,	PUNCT
cana-6024	212	10	p.	p.	PROPN
cana-6024	212	11	,	,	PUNCT
cana-6024	212	12	ahmet	ahmet	PROPN
cana-6024	212	13	,	,	PUNCT
cana-6024	212	14	c.s	c.s	PROPN
cana-6024	212	15	.	.	PROPN
cana-6024	212	16	,	,	PUNCT
cana-6024	212	17	bogrekci	bogrekci	NOUN
cana-6024	212	18	,	,	PUNCT
cana-6024	212	19	i.	i.	PROPN
cana-6024	212	20	&	&	CCONJ
cana-6024	212	21	aksoy	aksoy	PROPN
cana-6024	212	22	,	,	PUNCT
cana-6024	212	23	s.	s.	PROPN
cana-6024	212	24	2025	2025	NUM
cana-6024	212	25	,	,	PUNCT
cana-6024	212	26	"	"	PUNCT
cana-6024	212	27	artificial	artificial	ADJ
cana-6024	212	28	intelligence	intelligence	NOUN
cana-6024	212	29	for	for	ADP
cana-6024	212	30	non	non	ADJ
cana-6024	212	31	-	-	ADJ
cana-6024	212	32	destructive	destructive	ADJ
cana-6024	212	33	imaging	imaging	NOUN
cana-6024	212	34	in	in	ADP
cana-6024	212	35	composite	composite	ADJ
cana-6024	212	36	materials	material	NOUN
cana-6024	212	37	"	"	PUNCT
cana-6024	212	38	,	,	PUNCT
cana-6024	212	39	eng	eng	PROPN
cana-6024	212	40	,	,	PUNCT
cana-6024	212	41	vol	vol	NOUN
cana-6024	212	42	.	.	PROPN
cana-6024	212	43	6	6	NUM
cana-6024	212	44	,	,	PUNCT
cana-6024	212	45	no	no	INTJ
cana-6024	212	46	.	.	NOUN
cana-6024	212	47	3	3	NUM
cana-6024	212	48	,	,	PUNCT
cana-6024	212	49	pp	pp	ADJ
cana-6024	212	50	.	.	PUNCT
cana-6024	213	1	46	46	NUM
cana-6024	213	2	.	.	PUNCT
cana-6024	214	1	[	[	X
cana-6024	214	2	28	28	NUM
cana-6024	214	3	]	]	X
cana-6024	214	4	shayan	shayan	PROPN
cana-6024	214	5	,	,	PUNCT
cana-6024	214	6	m.	m.	NOUN
cana-6024	214	7	,	,	PUNCT
cana-6024	214	8	ryan	ryan	PROPN
cana-6024	214	9	,	,	PUNCT
cana-6024	214	10	r.	r.	PROPN
cana-6024	214	11	&	&	CCONJ
cana-6024	214	12	crovella	crovella	PROPN
cana-6024	214	13	,	,	PUNCT
cana-6024	214	14	p.	p.	NOUN
cana-6024	214	15	2025	2025	NUM
cana-6024	214	16	,	,	PUNCT
cana-6024	214	17	"	"	PUNCT
cana-6024	214	18	a	a	DET
cana-6024	214	19	review	review	NOUN
cana-6024	214	20	of	of	ADP
cana-6024	214	21	the	the	DET
cana-6024	214	22	potential	potential	NOUN
cana-6024	214	23	of	of	ADP
cana-6024	214	24	drone	drone	NOUN
cana-6024	214	25	-	-	PUNCT
cana-6024	214	26	based	base	VERB
cana-6024	214	27	approaches	approach	NOUN
cana-6024	214	28	for	for	ADP
cana-6024	214	29	integrated	integrated	ADJ
cana-6024	214	30	building	building	NOUN
cana-6024	214	31	envelope	envelope	NOUN
cana-6024	214	32	assessment	assessment	NOUN
cana-6024	214	33	"	"	PUNCT
cana-6024	214	34	,	,	PUNCT
cana-6024	214	35	buildings	building	NOUN
cana-6024	214	36	,	,	PUNCT
cana-6024	214	37	vol	vol	NOUN
cana-6024	214	38	.	.	PROPN
cana-6024	214	39	15	15	NUM
cana-6024	214	40	,	,	PUNCT
cana-6024	214	41	no	no	INTJ
cana-6024	214	42	.	.	NOUN
cana-6024	214	43	13	13	NUM
cana-6024	214	44	,	,	PUNCT
cana-6024	214	45	pp	pp	ADJ
cana-6024	214	46	.	.	PUNCT
cana-6024	214	47	2230	2230	NUM
cana-6024	214	48	.	.	PUNCT
cana-6024	215	1	[	[	X
cana-6024	215	2	29	29	NUM
cana-6024	215	3	]	]	SYM
cana-6024	215	4	shrestha	shrestha	NOUN
cana-6024	215	5	,	,	PUNCT
cana-6024	215	6	p.	p.	PROPN
cana-6024	215	7	,	,	PUNCT
cana-6024	215	8	avci	avci	PROPN
cana-6024	215	9	,	,	PUNCT
cana-6024	215	10	o.	o.	PROPN
cana-6024	215	11	,	,	PUNCT
cana-6024	215	12	rifai	rifai	PROPN
cana-6024	215	13	,	,	PUNCT
cana-6024	215	14	s.	s.	PROPN
cana-6024	215	15	,	,	PUNCT
cana-6024	215	16	abla	abla	PROPN
cana-6024	215	17	,	,	PUNCT
cana-6024	215	18	f.	f.	PROPN
cana-6024	215	19	,	,	PUNCT
cana-6024	215	20	seek	seek	VERB
cana-6024	215	21	,	,	PUNCT
cana-6024	215	22	m.	m.	NOUN
cana-6024	215	23	,	,	PUNCT
cana-6024	215	24	barth	barth	PROPN
cana-6024	215	25	,	,	PUNCT
cana-6024	215	26	k.	k.	PROPN
cana-6024	215	27	&	&	CCONJ
cana-6024	215	28	halabe	halabe	PROPN
cana-6024	215	29	,	,	PUNCT
cana-6024	215	30	u.	u.	PROPN
cana-6024	215	31	2025	2025	NUM
cana-6024	215	32	,	,	PUNCT
cana-6024	215	33	"	"	PUNCT
cana-6024	215	34	a	a	DET
cana-6024	215	35	review	review	NOUN
cana-6024	215	36	of	of	ADP
cana-6024	215	37	infrared	infrared	ADJ
cana-6024	215	38	thermography	thermography	NOUN
cana-6024	215	39	applications	application	NOUN
cana-6024	215	40	for	for	ADP
cana-6024	215	41	civil	civil	ADJ
cana-6024	215	42	infrastructure	infrastructure	NOUN
cana-6024	215	43	"	"	PUNCT
cana-6024	215	44	,	,	PUNCT
cana-6024	215	45	structural	structural	ADJ
cana-6024	215	46	durability	durability	NOUN
cana-6024	215	47	&	&	CCONJ
cana-6024	215	48	health	health	NOUN
cana-6024	215	49	monitoring	monitoring	NOUN
cana-6024	215	50	,	,	PUNCT
cana-6024	215	51	vol	vol	NOUN
cana-6024	215	52	.	.	PROPN
cana-6024	216	1	19	19	NUM
cana-6024	216	2	,	,	PUNCT
cana-6024	216	3	no	no	INTJ
cana-6024	216	4	.	.	NOUN
cana-6024	216	5	2	2	NUM
cana-6024	216	6	,	,	PUNCT
cana-6024	216	7	pp	pp	ADJ
cana-6024	216	8	.	.	PUNCT
cana-6024	217	1	193	193	NUM
cana-6024	217	2	-	-	SYM
cana-6024	217	3	231	231	NUM
cana-6024	217	4	.	.	PUNCT
cana-6024	218	1	[	[	X
cana-6024	218	2	30	30	NUM
cana-6024	218	3	]	]	X
cana-6024	218	4	sung	sung	NOUN
cana-6024	218	5	-	-	PUNCT
cana-6024	218	6	pil	pil	NOUN
cana-6024	218	7	,	,	PUNCT
cana-6024	218	8	s.	s.	PROPN
cana-6024	218	9	,	,	PUNCT
cana-6024	218	10	sang	sing	VERB
cana-6024	218	11	-	-	PUNCT
cana-6024	218	12	yum	yum	PROPN
cana-6024	218	13	,	,	PUNCT
cana-6024	218	14	l.	l.	PROPN
cana-6024	218	15	&	&	CCONJ
cana-6024	218	16	le	le	PROPN
cana-6024	218	17	tri	tri	PROPN
cana-6024	218	18	,	,	PUNCT
cana-6024	218	19	h.m	h.m	PROPN
cana-6024	218	20	.	.	PROPN
cana-6024	218	21	2025	2025	NUM
cana-6024	218	22	,	,	PUNCT
cana-6024	218	23	"	"	PUNCT
cana-6024	218	24	feasibility	feasibility	NOUN
cana-6024	218	25	of	of	ADP
cana-6024	218	26	efficientdet	efficientdet	PROPN
cana-6024	218	27	-	-	PUNCT
cana-6024	218	28	d3	d3	PROPN
cana-6024	218	29	for	for	ADP
cana-6024	218	30	accurate	accurate	ADJ
cana-6024	218	31	and	and	CCONJ
cana-6024	218	32	efficient	efficient	ADJ
cana-6024	218	33	void	void	ADJ
cana-6024	218	34	detection	detection	NOUN
cana-6024	218	35	in	in	ADP
cana-6024	218	36	gpr	gpr	PROPN
cana-6024	218	37	images	image	NOUN
cana-6024	218	38	"	"	PUNCT
cana-6024	218	39	,	,	PUNCT
cana-6024	218	40	infrastructures	infrastructure	NOUN
cana-6024	218	41	,	,	PUNCT
cana-6024	218	42	vol	vol	NOUN
cana-6024	218	43	.	.	PROPN
cana-6024	218	44	10	10	NUM
cana-6024	218	45	,	,	PUNCT
cana-6024	218	46	no	no	INTJ
cana-6024	218	47	.	.	NOUN
cana-6024	218	48	6	6	NUM
cana-6024	218	49	,	,	PUNCT
cana-6024	218	50	pp	pp	ADJ
cana-6024	218	51	.	.	PUNCT
cana-6024	219	1	140	140	NUM
cana-6024	219	2	.	.	PUNCT