id	sid	tid	token	lemma	pos
fis-5273	1	1	microsoft	microsoft	PROPN
fis-5273	1	2	word	word	PROPN
fis-5273	1	3	numero_72_art_09_5273.docx	numero_72_art_09_5273.docx	PROPN
fis-5273	1	4	d.	d.	PROPN
fis-5273	1	5	h.	h.	PROPN
fis-5273	1	6	nguyen	nguyen	PROPN
fis-5273	1	7	et	et	PROPN
fis-5273	1	8	alii	alii	PROPN
fis-5273	1	9	,	,	PUNCT
fis-5273	1	10	fracture	fracture	ADJ
fis-5273	1	11	and	and	CCONJ
fis-5273	1	12	structural	structural	ADJ
fis-5273	1	13	integrity	integrity	NOUN
fis-5273	1	14	,	,	PUNCT
fis-5273	1	15	72	72	NUM
fis-5273	1	16	(	(	PUNCT
fis-5273	1	17	2025	2025	NUM
fis-5273	1	18	)	)	PUNCT
fis-5273	1	19	121	121	NUM
fis-5273	1	20	-	-	SYM
fis-5273	1	21	136	136	NUM
fis-5273	1	22	;	;	PUNCT
fis-5273	1	23	doi	doi	NOUN
fis-5273	1	24	:	:	PUNCT
fis-5273	1	25	10.3221	10.3221	NUM
fis-5273	1	26	/	/	SYM
fis-5273	1	27	igf	igf	PROPN
fis-5273	1	28	-	-	ADJ
fis-5273	1	29	esis.72.09	esis.72.09	PROPN
fis-5273	1	30	121	121	NUM
fis-5273	1	31	a	a	DET
fis-5273	1	32	digital	digital	ADJ
fis-5273	1	33	twin	twin	ADJ
fis-5273	1	34	framework	framework	NOUN
fis-5273	1	35	with	with	ADP
fis-5273	1	36	mobilenetv2	mobilenetv2	PROPN
fis-5273	1	37	for	for	ADP
fis-5273	1	38	damage	damage	NOUN
fis-5273	1	39	detection	detection	NOUN
fis-5273	1	40	in	in	ADP
fis-5273	1	41	slab	slab	NOUN
fis-5273	1	42	structures	structure	NOUN
fis-5273	1	43	duong	duong	VERB
fis-5273	1	44	huong	huong	PROPN
fis-5273	1	45	nguyen	nguyen	PROPN
fis-5273	1	46	middlesex	middlesex	PROPN
fis-5273	1	47	university	university	PROPN
fis-5273	1	48	,	,	PUNCT
fis-5273	1	49	london	london	PROPN
fis-5273	1	50	,	,	PUNCT
fis-5273	1	51	u.k	u.k	PROPN
fis-5273	1	52	hanoi	hanoi	PROPN
fis-5273	1	53	university	university	PROPN
fis-5273	1	54	of	of	ADP
fis-5273	1	55	civil	civil	ADJ
fis-5273	1	56	engineering	engineering	NOUN
fis-5273	1	57	,	,	PUNCT
fis-5273	1	58	hanoi	hanoi	PROPN
fis-5273	1	59	,	,	PUNCT
fis-5273	1	60	vietnam	vietnam	PROPN
fis-5273	1	61	duongnh2@huce.edu.vn	duongnh2@huce.edu.vn	PROPN
fis-5273	1	62	,	,	PUNCT
fis-5273	1	63	https://orcid.org/0000-0002-8575-6282	https://orcid.org/0000-0002-8575-6282	PROPN
fis-5273	1	64	huan	huan	PROPN
fis-5273	1	65	nguyen	nguyen	PROPN
fis-5273	1	66	middlesex	middlesex	PROPN
fis-5273	1	67	university	university	PROPN
fis-5273	1	68	,	,	PUNCT
fis-5273	1	69	london	london	PROPN
fis-5273	1	70	,	,	PUNCT
fis-5273	1	71	u.k	u.k	PROPN
fis-5273	1	72	international	international	ADJ
fis-5273	1	73	school	school	NOUN
fis-5273	1	74	,	,	PUNCT
fis-5273	1	75	vietnam	vietnam	PROPN
fis-5273	1	76	national	national	PROPN
fis-5273	1	77	university	university	PROPN
fis-5273	1	78	,	,	PUNCT
fis-5273	1	79	hanoi	hanoi	PROPN
fis-5273	1	80	,	,	PUNCT
fis-5273	1	81	vietnam	vietnam	PROPN
fis-5273	1	82	h.nguyen@mdx.ac.uk	h.nguyen@mdx.ac.uk	PROPN
fis-5273	1	83	xiaohong	xiaohong	PROPN
fis-5273	1	84	gao	gao	PROPN
fis-5273	1	85	middlesex	middlesex	PROPN
fis-5273	1	86	university	university	PROPN
fis-5273	1	87	,	,	PUNCT
fis-5273	1	88	london	london	PROPN
fis-5273	1	89	,	,	PUNCT
fis-5273	1	90	u.k	u.k	PROPN
fis-5273	1	91	x.gao@mdx.ac.uk	x.gao@mdx.ac.uk	VERB
fis-5273	1	92	keywords	keyword	NOUN
fis-5273	1	93	.	.	PUNCT
fis-5273	2	1	digital	digital	ADJ
fis-5273	2	2	twin	twin	ADJ
fis-5273	2	3	,	,	PUNCT
fis-5273	2	4	damage	damage	NOUN
fis-5273	2	5	detection	detection	NOUN
fis-5273	2	6	,	,	PUNCT
fis-5273	2	7	wavelet	wavelet	NOUN
fis-5273	2	8	theory	theory	NOUN
fis-5273	2	9	,	,	PUNCT
fis-5273	2	10	vibration	vibration	NOUN
fis-5273	2	11	-	-	PUNCT
fis-5273	2	12	based	base	VERB
fis-5273	2	13	damage	damage	NOUN
fis-5273	2	14	detection	detection	NOUN
fis-5273	2	15	,	,	PUNCT
fis-5273	2	16	shm	shm	NOUN
fis-5273	2	17	,	,	PUNCT
fis-5273	2	18	slab	slab	NOUN
fis-5273	2	19	structure	structure	NOUN
fis-5273	2	20	.	.	PUNCT
fis-5273	3	1	citation	citation	NOUN
fis-5273	3	2	:	:	PUNCT
fis-5273	4	1	nguyen	nguyen	PROPN
fis-5273	4	2	,	,	PUNCT
fis-5273	4	3	d.	d.	PROPN
fis-5273	4	4	h.	h.	PROPN
fis-5273	4	5	,	,	PUNCT
fis-5273	4	6	nguyen	nguyen	PROPN
fis-5273	4	7	,	,	PUNCT
fis-5273	4	8	h.	h.	PROPN
fis-5273	4	9	,	,	PUNCT
fis-5273	4	10	gao	gao	PROPN
fis-5273	4	11	,	,	PUNCT
fis-5273	4	12	x.	x.	PROPN
fis-5273	4	13	,	,	PUNCT
fis-5273	4	14	a	a	DET
fis-5273	4	15	digital	digital	ADJ
fis-5273	4	16	twin	twin	ADJ
fis-5273	4	17	framework	framework	NOUN
fis-5273	4	18	with	with	ADP
fis-5273	4	19	mobilenetv2	mobilenetv2	PROPN
fis-5273	4	20	for	for	ADP
fis-5273	4	21	damage	damage	NOUN
fis-5273	4	22	detection	detection	NOUN
fis-5273	4	23	in	in	ADP
fis-5273	4	24	slab	slab	NOUN
fis-5273	4	25	structures	structure	NOUN
fis-5273	4	26	,	,	PUNCT
fis-5273	4	27	fracture	fracture	NOUN
fis-5273	4	28	and	and	CCONJ
fis-5273	4	29	structural	structural	ADJ
fis-5273	4	30	integrity	integrity	NOUN
fis-5273	4	31	,	,	PUNCT
fis-5273	4	32	72	72	NUM
fis-5273	4	33	(	(	PUNCT
fis-5273	4	34	2025	2025	NUM
fis-5273	4	35	)	)	PUNCT
fis-5273	4	36	121	121	NUM
fis-5273	4	37	-	-	SYM
fis-5273	4	38	136	136	NUM
fis-5273	4	39	.	.	PUNCT
fis-5273	5	1	received	receive	VERB
fis-5273	5	2	:	:	PUNCT
fis-5273	5	3	29.11.2024	29.11.2024	NUM
fis-5273	5	4	accepted	accept	VERB
fis-5273	5	5	:	:	PUNCT
fis-5273	5	6	27.01.2025	27.01.2025	NUM
fis-5273	5	7	published	publish	VERB
fis-5273	5	8	:	:	PUNCT
fis-5273	5	9	08.02.2025	08.02.2025	NUM
fis-5273	5	10	issue	issue	NOUN
fis-5273	5	11	:	:	PUNCT
fis-5273	5	12	04.2025	04.2025	NUM
fis-5273	5	13	copyright	copyright	NOUN
fis-5273	5	14	:	:	PUNCT
fis-5273	5	15	©	©	PROPN
fis-5273	5	16	2025	2025	NUM
fis-5273	5	17	this	this	PRON
fis-5273	5	18	is	be	AUX
fis-5273	5	19	an	an	DET
fis-5273	5	20	open	open	ADJ
fis-5273	5	21	access	access	NOUN
fis-5273	5	22	article	article	NOUN
fis-5273	5	23	under	under	ADP
fis-5273	5	24	the	the	DET
fis-5273	5	25	terms	term	NOUN
fis-5273	5	26	of	of	ADP
fis-5273	5	27	the	the	DET
fis-5273	5	28	cc	cc	NOUN
fis-5273	5	29	-	-	PUNCT
fis-5273	5	30	by	by	ADP
fis-5273	5	31	4.0	4.0	NUM
fis-5273	5	32	,	,	PUNCT
fis-5273	5	33	which	which	PRON
fis-5273	5	34	permits	permit	VERB
fis-5273	5	35	unrestricted	unrestricted	ADJ
fis-5273	5	36	use	use	NOUN
fis-5273	5	37	,	,	PUNCT
fis-5273	5	38	distribution	distribution	NOUN
fis-5273	5	39	,	,	PUNCT
fis-5273	5	40	and	and	CCONJ
fis-5273	5	41	reproduction	reproduction	NOUN
fis-5273	5	42	in	in	ADP
fis-5273	5	43	any	any	DET
fis-5273	5	44	medium	medium	NOUN
fis-5273	5	45	,	,	PUNCT
fis-5273	5	46	provided	provide	VERB
fis-5273	5	47	the	the	DET
fis-5273	5	48	original	original	ADJ
fis-5273	5	49	author	author	NOUN
fis-5273	5	50	and	and	CCONJ
fis-5273	5	51	source	source	NOUN
fis-5273	5	52	are	be	AUX
fis-5273	5	53	credited	credit	VERB
fis-5273	5	54	.	.	PUNCT
fis-5273	6	1	https://youtu.be/sbrm3a3yc0u	https://youtu.be/sbrm3a3yc0u	PROPN
fis-5273	6	2	d.	d.	PROPN
fis-5273	6	3	h.	h.	PROPN
fis-5273	6	4	nguyen	nguyen	PROPN
fis-5273	6	5	et	et	PROPN
fis-5273	6	6	alii	alii	PROPN
fis-5273	6	7	,	,	PUNCT
fis-5273	6	8	fracture	fracture	ADJ
fis-5273	6	9	and	and	CCONJ
fis-5273	6	10	structural	structural	ADJ
fis-5273	6	11	integrity	integrity	NOUN
fis-5273	6	12	,	,	PUNCT
fis-5273	6	13	72	72	NUM
fis-5273	6	14	(	(	PUNCT
fis-5273	6	15	2025	2025	NUM
fis-5273	6	16	)	)	PUNCT
fis-5273	6	17	121	121	NUM
fis-5273	6	18	-	-	SYM
fis-5273	6	19	136	136	NUM
fis-5273	6	20	;	;	PUNCT
fis-5273	6	21	doi	doi	NOUN
fis-5273	6	22	:	:	PUNCT
fis-5273	6	23	10.3221	10.3221	NUM
fis-5273	6	24	/	/	SYM
fis-5273	6	25	igf	igf	PROPN
fis-5273	6	26	-	-	ADJ
fis-5273	6	27	esis.72.09	esis.72.09	ADJ
fis-5273	6	28	122	122	NUM
fis-5273	6	29	introduction	introduction	NOUN
fis-5273	6	30	he	he	PRON
fis-5273	6	31	structural	structural	ADJ
fis-5273	6	32	health	health	NOUN
fis-5273	6	33	monitoring	monitoring	NOUN
fis-5273	6	34	(	(	PUNCT
fis-5273	6	35	shm	shm	NOUN
fis-5273	6	36	)	)	PUNCT
fis-5273	6	37	of	of	ADP
fis-5273	6	38	civil	civil	ADJ
fis-5273	6	39	structures	structure	NOUN
fis-5273	6	40	is	be	AUX
fis-5273	6	41	one	one	NUM
fis-5273	6	42	of	of	ADP
fis-5273	6	43	the	the	DET
fis-5273	6	44	most	most	ADV
fis-5273	6	45	popular	popular	ADJ
fis-5273	6	46	subjects	subject	NOUN
fis-5273	6	47	in	in	ADP
fis-5273	6	48	structural	structural	ADJ
fis-5273	6	49	engineering	engineering	NOUN
fis-5273	6	50	.	.	PUNCT
fis-5273	7	1	shm	shm	PROPN
fis-5273	7	2	can	can	AUX
fis-5273	7	3	be	be	AUX
fis-5273	7	4	defined	define	VERB
fis-5273	7	5	as	as	ADP
fis-5273	7	6	the	the	DET
fis-5273	7	7	process	process	NOUN
fis-5273	7	8	of	of	ADP
fis-5273	7	9	monitoring	monitoring	NOUN
fis-5273	7	10	and	and	CCONJ
fis-5273	7	11	measuring	measure	VERB
fis-5273	7	12	the	the	DET
fis-5273	7	13	structural	structural	ADJ
fis-5273	7	14	response	response	NOUN
fis-5273	7	15	in	in	ADP
fis-5273	7	16	real	real	ADJ
fis-5273	7	17	-	-	PUNCT
fis-5273	7	18	time	time	NOUN
fis-5273	7	19	to	to	PART
fis-5273	7	20	detect	detect	VERB
fis-5273	7	21	anomalies	anomaly	NOUN
fis-5273	7	22	in	in	ADP
fis-5273	7	23	the	the	DET
fis-5273	7	24	early	early	ADJ
fis-5273	7	25	stages	stage	NOUN
fis-5273	7	26	of	of	ADP
fis-5273	7	27	damage	damage	NOUN
fis-5273	7	28	in	in	ADP
fis-5273	7	29	structures	structure	NOUN
fis-5273	7	30	based	base	VERB
fis-5273	7	31	on	on	ADP
fis-5273	7	32	data	datum	NOUN
fis-5273	7	33	from	from	ADP
fis-5273	7	34	instrumentation	instrumentation	NOUN
fis-5273	7	35	installed	instal	VERB
fis-5273	7	36	in	in	ADP
fis-5273	7	37	the	the	DET
fis-5273	7	38	structure	structure	NOUN
fis-5273	7	39	[	[	X
fis-5273	7	40	5	5	NUM
fis-5273	7	41	]	]	PUNCT
fis-5273	7	42	.	.	PUNCT
fis-5273	8	1	this	this	DET
fis-5273	8	2	process	process	NOUN
fis-5273	8	3	can	can	AUX
fis-5273	8	4	be	be	AUX
fis-5273	8	5	divided	divide	VERB
fis-5273	8	6	into	into	ADP
fis-5273	8	7	four	four	NUM
fis-5273	8	8	different	different	ADJ
fis-5273	8	9	phases	phase	NOUN
fis-5273	8	10	:	:	PUNCT
fis-5273	8	11	instrumentation	instrumentation	NOUN
fis-5273	8	12	,	,	PUNCT
fis-5273	8	13	monitoring	monitoring	NOUN
fis-5273	8	14	,	,	PUNCT
fis-5273	8	15	analysis	analysis	NOUN
fis-5273	8	16	,	,	PUNCT
fis-5273	8	17	and	and	CCONJ
fis-5273	8	18	management	management	NOUN
fis-5273	8	19	.	.	PUNCT
fis-5273	9	1	the	the	DET
fis-5273	9	2	most	most	ADV
fis-5273	9	3	popular	popular	ADJ
fis-5273	9	4	employed	employ	VERB
fis-5273	9	5	sensors	sensor	NOUN
fis-5273	9	6	in	in	ADP
fis-5273	9	7	structural	structural	ADJ
fis-5273	9	8	are	be	AUX
fis-5273	9	9	accelerometers	accelerometer	NOUN
fis-5273	9	10	,	,	PUNCT
fis-5273	9	11	strain	strain	NOUN
fis-5273	9	12	gauges	gauge	NOUN
fis-5273	9	13	,	,	PUNCT
fis-5273	9	14	lvdts	lvdts	NOUN
fis-5273	9	15	.	.	PUNCT
fis-5273	10	1	all	all	DET
fis-5273	10	2	these	these	DET
fis-5273	10	3	sensors	sensor	NOUN
fis-5273	10	4	and	and	CCONJ
fis-5273	10	5	data	datum	NOUN
fis-5273	10	6	acquisition	acquisition	NOUN
fis-5273	10	7	systems	system	NOUN
fis-5273	10	8	correspond	correspond	VERB
fis-5273	10	9	to	to	ADP
fis-5273	10	10	the	the	DET
fis-5273	10	11	measurement	measurement	NOUN
fis-5273	10	12	of	of	ADP
fis-5273	10	13	the	the	DET
fis-5273	10	14	physical	physical	ADJ
fis-5273	10	15	parameters	parameter	NOUN
fis-5273	10	16	.	.	PUNCT
fis-5273	11	1	the	the	DET
fis-5273	11	2	set	set	NOUN
fis-5273	11	3	of	of	ADP
fis-5273	11	4	techniques	technique	NOUN
fis-5273	11	5	is	be	AUX
fis-5273	11	6	employed	employ	VERB
fis-5273	11	7	to	to	ADP
fis-5273	11	8	analysis	analysis	NOUN
fis-5273	11	9	structural	structural	ADJ
fis-5273	11	10	measurement	measurement	NOUN
fis-5273	11	11	response	response	NOUN
fis-5273	11	12	to	to	PART
fis-5273	11	13	understand	understand	VERB
fis-5273	11	14	structural	structural	ADJ
fis-5273	11	15	behaviour	behaviour	NOUN
fis-5273	11	16	and	and	CCONJ
fis-5273	11	17	detect	detect	VERB
fis-5273	11	18	damage	damage	NOUN
fis-5273	11	19	.	.	PUNCT
fis-5273	12	1	finally	finally	ADV
fis-5273	12	2	,	,	PUNCT
fis-5273	12	3	this	this	DET
fis-5273	12	4	real	real	ADJ
fis-5273	12	5	-	-	PUNCT
fis-5273	12	6	time	time	NOUN
fis-5273	12	7	information	information	NOUN
fis-5273	12	8	is	be	AUX
fis-5273	12	9	transferred	transfer	VERB
fis-5273	12	10	to	to	ADP
fis-5273	12	11	the	the	DET
fis-5273	12	12	right	right	ADJ
fis-5273	12	13	people	people	NOUN
fis-5273	12	14	for	for	ADP
fis-5273	12	15	decision	decision	NOUN
fis-5273	12	16	-	-	PUNCT
fis-5273	12	17	making	making	NOUN
fis-5273	12	18	in	in	ADP
fis-5273	12	19	the	the	DET
fis-5273	12	20	management	management	NOUN
fis-5273	12	21	phases	phase	NOUN
fis-5273	12	22	.	.	PUNCT
fis-5273	13	1	the	the	DET
fis-5273	13	2	recent	recent	ADJ
fis-5273	13	3	advanced	advanced	ADJ
fis-5273	13	4	shm	shm	NOUN
fis-5273	13	5	technology	technology	NOUN
fis-5273	13	6	involved	involve	VERB
fis-5273	13	7	the	the	DET
fis-5273	13	8	development	development	NOUN
fis-5273	13	9	of	of	ADP
fis-5273	13	10	machine	machine	NOUN
fis-5273	13	11	learning	learning	NOUN
fis-5273	13	12	,	,	PUNCT
fis-5273	13	13	digital	digital	PROPN
fis-5273	13	14	twin	twin	NOUN
fis-5273	13	15	,	,	PUNCT
fis-5273	13	16	internet	internet	NOUN
fis-5273	13	17	of	of	ADP
fis-5273	13	18	things	thing	NOUN
fis-5273	13	19	,	,	PUNCT
fis-5273	13	20	sensor	sensor	NOUN
fis-5273	13	21	networks	network	NOUN
fis-5273	13	22	,	,	PUNCT
fis-5273	13	23	etc	etc	X
fis-5273	13	24	[	[	X
fis-5273	13	25	3	3	NUM
fis-5273	13	26	]	]	PUNCT
fis-5273	13	27	.	.	PUNCT
fis-5273	14	1	digital	digital	ADJ
fis-5273	14	2	twin	twin	ADJ
fis-5273	14	3	concepts	concept	NOUN
fis-5273	14	4	use	use	VERB
fis-5273	14	5	a	a	DET
fis-5273	14	6	digital	digital	ADJ
fis-5273	14	7	reconstruction	reconstruction	NOUN
fis-5273	14	8	of	of	ADP
fis-5273	14	9	a	a	DET
fis-5273	14	10	real	real	ADJ
fis-5273	14	11	-	-	PUNCT
fis-5273	14	12	life	life	NOUN
fis-5273	14	13	structure	structure	NOUN
fis-5273	14	14	which	which	PRON
fis-5273	14	15	can	can	AUX
fis-5273	14	16	automatically	automatically	ADV
fis-5273	14	17	update	update	VERB
fis-5273	14	18	identified	identify	VERB
fis-5273	14	19	uncertainties	uncertainty	NOUN
fis-5273	14	20	parameters	parameter	NOUN
fis-5273	14	21	based	base	VERB
fis-5273	14	22	on	on	ADP
fis-5273	14	23	data	datum	NOUN
fis-5273	14	24	produced	produce	VERB
fis-5273	14	25	by	by	ADP
fis-5273	14	26	sensors	sensor	NOUN
fis-5273	14	27	.	.	PUNCT
fis-5273	15	1	the	the	DET
fis-5273	15	2	digital	digital	ADJ
fis-5273	15	3	twin	twin	NOUN
fis-5273	15	4	is	be	AUX
fis-5273	15	5	more	more	ADJ
fis-5273	15	6	than	than	ADP
fis-5273	15	7	a	a	DET
fis-5273	15	8	fe	fe	NOUN
fis-5273	15	9	model	model	NOUN
fis-5273	15	10	because	because	SCONJ
fis-5273	15	11	it	it	PRON
fis-5273	15	12	is	be	AUX
fis-5273	15	13	updated	update	VERB
fis-5273	15	14	and	and	CCONJ
fis-5273	15	15	calibrated	calibrate	VERB
fis-5273	15	16	with	with	ADP
fis-5273	15	17	data	datum	NOUN
fis-5273	15	18	measured	measure	VERB
fis-5273	15	19	from	from	ADP
fis-5273	15	20	the	the	DET
fis-5273	15	21	physical	physical	ADJ
fis-5273	15	22	model	model	NOUN
fis-5273	15	23	.	.	PUNCT
fis-5273	16	1	the	the	DET
fis-5273	16	2	potential	potential	NOUN
fis-5273	16	3	of	of	ADP
fis-5273	16	4	digital	digital	ADJ
fis-5273	16	5	twin	twin	ADJ
fis-5273	16	6	integration	integration	NOUN
fis-5273	16	7	into	into	ADP
fis-5273	16	8	shm	shm	NOUN
fis-5273	16	9	through	through	ADP
fis-5273	16	10	deep	deep	ADJ
fis-5273	16	11	learning	learning	NOUN
fis-5273	16	12	is	be	AUX
fis-5273	16	13	becoming	become	VERB
fis-5273	16	14	increasingly	increasingly	ADV
fis-5273	16	15	significant	significant	ADJ
fis-5273	16	16	.	.	PUNCT
fis-5273	17	1	applying	apply	VERB
fis-5273	17	2	deep	deep	ADJ
fis-5273	17	3	learning	learning	NOUN
fis-5273	17	4	in	in	ADP
fis-5273	17	5	machine	machine	NOUN
fis-5273	17	6	health	health	NOUN
fis-5273	17	7	monitoring	monitoring	NOUN
fis-5273	17	8	systems	system	NOUN
fis-5273	17	9	is	be	AUX
fis-5273	17	10	discussed	discuss	VERB
fis-5273	17	11	in	in	ADP
fis-5273	17	12	[	[	X
fis-5273	17	13	24	24	NUM
fis-5273	17	14	]	]	PUNCT
fis-5273	17	15	.	.	PUNCT
fis-5273	18	1	a	a	DET
fis-5273	18	2	digital	digital	ADJ
fis-5273	18	3	twin	twin	NOUN
fis-5273	18	4	based	base	VERB
fis-5273	18	5	shm	shm	NOUN
fis-5273	18	6	framework	framework	NOUN
fis-5273	18	7	based	base	VERB
fis-5273	18	8	on	on	ADP
fis-5273	18	9	cloud	cloud	NOUN
fis-5273	18	10	computing	computing	NOUN
fis-5273	18	11	and	and	CCONJ
fis-5273	18	12	deep	deep	ADJ
fis-5273	18	13	learning	learning	NOUN
fis-5273	18	14	is	be	AUX
fis-5273	18	15	proposed	propose	VERB
fis-5273	18	16	and	and	CCONJ
fis-5273	18	17	demonstrated	demonstrate	VERB
fis-5273	18	18	via	via	ADP
fis-5273	18	19	case	case	NOUN
fis-5273	18	20	studies	study	NOUN
fis-5273	18	21	with	with	ADP
fis-5273	18	22	high	high	ADJ
fis-5273	18	23	accuracy	accuracy	NOUN
fis-5273	18	24	in	in	ADP
fis-5273	18	25	damage	damage	NOUN
fis-5273	18	26	detection	detection	NOUN
fis-5273	19	1	[	[	X
fis-5273	19	2	6	6	NUM
fis-5273	19	3	]	]	PUNCT
fis-5273	19	4	.	.	PUNCT
fis-5273	20	1	the	the	DET
fis-5273	20	2	pros	pro	NOUN
fis-5273	20	3	of	of	ADP
fis-5273	20	4	implementing	implement	VERB
fis-5273	20	5	digital	digital	ADJ
fis-5273	20	6	twin	twin	NOUN
fis-5273	20	7	are	be	AUX
fis-5273	20	8	functionalities	functionality	NOUN
fis-5273	20	9	for	for	ADP
fis-5273	20	10	updates	update	NOUN
fis-5273	20	11	,	,	PUNCT
fis-5273	20	12	an	an	DET
fis-5273	20	13	overview	overview	NOUN
fis-5273	20	14	history	history	NOUN
fis-5273	20	15	of	of	ADP
fis-5273	20	16	a	a	DET
fis-5273	20	17	structure	structure	NOUN
fis-5273	20	18	,	,	PUNCT
fis-5273	20	19	timely	timely	ADJ
fis-5273	20	20	interceptions	interception	NOUN
fis-5273	20	21	of	of	ADP
fis-5273	20	22	damage	damage	NOUN
fis-5273	20	23	,	,	PUNCT
fis-5273	20	24	and	and	CCONJ
fis-5273	20	25	decision	decision	NOUN
fis-5273	20	26	-	-	PUNCT
fis-5273	20	27	making	make	VERB
fis-5273	20	28	support	support	NOUN
fis-5273	20	29	.	.	PUNCT
fis-5273	21	1	whereas	whereas	SCONJ
fis-5273	21	2	,	,	PUNCT
fis-5273	21	3	the	the	DET
fis-5273	21	4	cons	con	NOUN
fis-5273	21	5	are	be	AUX
fis-5273	21	6	technological	technological	ADJ
fis-5273	21	7	immaturity	immaturity	NOUN
fis-5273	21	8	,	,	PUNCT
fis-5273	21	9	lack	lack	NOUN
fis-5273	21	10	of	of	ADP
fis-5273	21	11	standards	standard	NOUN
fis-5273	21	12	and	and	CCONJ
fis-5273	21	13	guidelines	guideline	NOUN
fis-5273	21	14	,	,	PUNCT
fis-5273	21	15	and	and	CCONJ
fis-5273	21	16	the	the	DET
fis-5273	21	17	operation	operation	NOUN
fis-5273	21	18	cost	cost	NOUN
fis-5273	21	19	[	[	X
fis-5273	21	20	3	3	NUM
fis-5273	21	21	]	]	PUNCT
fis-5273	21	22	.	.	PUNCT
fis-5273	22	1	moreover	moreover	ADV
fis-5273	22	2	,	,	PUNCT
fis-5273	22	3	the	the	DET
fis-5273	22	4	outlook	outlook	NOUN
fis-5273	22	5	of	of	ADP
fis-5273	22	6	digital	digital	NOUN
fis-5273	22	7	-	-	PUNCT
fis-5273	22	8	based	base	VERB
fis-5273	22	9	shm	shm	NOUN
fis-5273	22	10	,	,	PUNCT
fis-5273	22	11	applications	application	NOUN
fis-5273	22	12	related	relate	VERB
fis-5273	22	13	is	be	AUX
fis-5273	22	14	highlighted	highlight	VERB
fis-5273	22	15	in	in	ADP
fis-5273	22	16	[	[	X
fis-5273	22	17	20	20	NUM
fis-5273	22	18	]	]	PUNCT
fis-5273	22	19	.	.	PUNCT
fis-5273	23	1	nowadays	nowadays	ADV
fis-5273	23	2	,	,	PUNCT
fis-5273	23	3	the	the	DET
fis-5273	23	4	combination	combination	NOUN
fis-5273	23	5	of	of	ADP
fis-5273	23	6	machine	machine	NOUN
fis-5273	23	7	learning	learning	NOUN
fis-5273	23	8	and	and	CCONJ
fis-5273	23	9	digital	digital	ADJ
fis-5273	23	10	twin	twin	NOUN
fis-5273	23	11	is	be	AUX
fis-5273	23	12	becoming	become	VERB
fis-5273	23	13	the	the	DET
fis-5273	23	14	core	core	NOUN
fis-5273	23	15	of	of	ADP
fis-5273	23	16	shm	shm	NOUN
fis-5273	23	17	[	[	X
fis-5273	23	18	13	13	NUM
fis-5273	23	19	]	]	PUNCT
fis-5273	23	20	.	.	PUNCT
fis-5273	24	1	vibration	vibration	NOUN
fis-5273	24	2	-	-	PUNCT
fis-5273	24	3	based	base	VERB
fis-5273	24	4	monitoring	monitoring	NOUN
fis-5273	24	5	is	be	AUX
fis-5273	24	6	on	on	ADP
fis-5273	24	7	destructive	destructive	ADJ
fis-5273	24	8	method	method	NOUN
fis-5273	24	9	that	that	PRON
fis-5273	24	10	tracks	track	VERB
fis-5273	24	11	the	the	DET
fis-5273	24	12	dynamic	dynamic	ADJ
fis-5273	24	13	response	response	NOUN
fis-5273	24	14	of	of	ADP
fis-5273	24	15	the	the	DET
fis-5273	24	16	structure	structure	NOUN
fis-5273	24	17	[	[	X
fis-5273	24	18	2	2	NUM
fis-5273	24	19	]	]	PUNCT
fis-5273	24	20	.	.	PUNCT
fis-5273	25	1	digital	digital	PROPN
fis-5273	25	2	twin	twin	PROPN
fis-5273	25	3	coupling	coupling	NOUN
fis-5273	25	4	with	with	ADP
fis-5273	25	5	machine	machine	NOUN
fis-5273	25	6	learning	learning	NOUN
fis-5273	25	7	will	will	AUX
fis-5273	25	8	analyse	analyse	VERB
fis-5273	25	9	vibration	vibration	NOUN
fis-5273	25	10	data	datum	NOUN
fis-5273	25	11	extracted	extract	VERB
fis-5273	25	12	from	from	ADP
fis-5273	25	13	monitoring	monitor	VERB
fis-5273	25	14	techniques	technique	NOUN
fis-5273	25	15	such	such	ADJ
fis-5273	25	16	as	as	ADP
fis-5273	25	17	acceleration	acceleration	NOUN
fis-5273	25	18	,	,	PUNCT
fis-5273	25	19	deflection	deflection	NOUN
fis-5273	25	20	,	,	PUNCT
fis-5273	25	21	strain	strain	NOUN
fis-5273	25	22	,	,	PUNCT
fis-5273	25	23	etc	etc	X
fis-5273	25	24	.	.	X
fis-5273	26	1	moreover	moreover	ADV
fis-5273	26	2	,	,	PUNCT
fis-5273	26	3	many	many	ADJ
fis-5273	26	4	research	research	NOUN
fis-5273	26	5	works	work	NOUN
fis-5273	26	6	targeted	target	VERB
fis-5273	26	7	the	the	DET
fis-5273	26	8	evaluation	evaluation	NOUN
fis-5273	26	9	of	of	ADP
fis-5273	26	10	modal	modal	ADJ
fis-5273	26	11	parameters	parameter	NOUN
fis-5273	26	12	such	such	ADJ
fis-5273	26	13	as	as	ADP
fis-5273	26	14	natural	natural	ADJ
fis-5273	26	15	frequency	frequency	NOUN
fis-5273	26	16	,	,	PUNCT
fis-5273	26	17	mode	mode	NOUN
fis-5273	26	18	shape	shape	NOUN
fis-5273	26	19	,	,	PUNCT
fis-5273	26	20	and	and	CCONJ
fis-5273	26	21	damping	damp	VERB
fis-5273	26	22	ratio	ratio	NOUN
fis-5273	26	23	.	.	PUNCT
fis-5273	27	1	some	some	DET
fis-5273	27	2	identified	identify	VERB
fis-5273	27	3	uncertainties	uncertainty	NOUN
fis-5273	27	4	parameters	parameter	NOUN
fis-5273	27	5	of	of	ADP
fis-5273	27	6	the	the	DET
fis-5273	27	7	structure	structure	NOUN
fis-5273	27	8	will	will	AUX
fis-5273	27	9	be	be	AUX
fis-5273	27	10	updated	update	VERB
fis-5273	27	11	in	in	ADP
fis-5273	27	12	the	the	DET
fis-5273	27	13	virtual	virtual	ADJ
fis-5273	27	14	model	model	NOUN
fis-5273	27	15	if	if	SCONJ
fis-5273	27	16	the	the	DET
fis-5273	27	17	difference	difference	NOUN
fis-5273	27	18	between	between	ADP
fis-5273	27	19	measured	measure	VERB
fis-5273	27	20	and	and	CCONJ
fis-5273	27	21	calculated	calculate	VERB
fis-5273	27	22	values	value	NOUN
fis-5273	27	23	is	be	AUX
fis-5273	27	24	significant	significant	ADJ
fis-5273	27	25	[	[	X
fis-5273	27	26	23	23	NUM
fis-5273	27	27	]	]	PUNCT
fis-5273	27	28	.	.	PUNCT
fis-5273	28	1	from	from	ADP
fis-5273	28	2	measured	measure	VERB
fis-5273	28	3	,	,	PUNCT
fis-5273	28	4	simulated	simulated	ADJ
fis-5273	28	5	data	datum	NOUN
fis-5273	28	6	obtained	obtain	VERB
fis-5273	28	7	from	from	ADP
fis-5273	28	8	the	the	DET
fis-5273	28	9	updated	update	VERB
fis-5273	28	10	virtual	virtual	ADJ
fis-5273	28	11	model	model	NOUN
fis-5273	28	12	,	,	PUNCT
fis-5273	28	13	the	the	DET
fis-5273	28	14	appropriate	appropriate	ADJ
fis-5273	28	15	deep	deep	ADJ
fis-5273	28	16	learning	learning	NOUN
fis-5273	28	17	models	model	NOUN
fis-5273	28	18	will	will	AUX
fis-5273	28	19	be	be	AUX
fis-5273	28	20	developed	develop	VERB
fis-5273	28	21	for	for	ADP
fis-5273	28	22	shm	shm	NOUN
fis-5273	28	23	applications	application	NOUN
fis-5273	28	24	.	.	PUNCT
fis-5273	29	1	hielscher	hielscher	NOUN
fis-5273	29	2	et	et	PROPN
fis-5273	29	3	al	al	PROPN
fis-5273	29	4	.	.	PUNCT
fis-5273	30	1	[	[	X
fis-5273	30	2	8	8	NUM
fis-5273	30	3	]	]	X
fis-5273	30	4	propose	propose	VERB
fis-5273	30	5	a	a	DET
fis-5273	30	6	method	method	NOUN
fis-5273	30	7	that	that	PRON
fis-5273	30	8	uses	use	VERB
fis-5273	30	9	fibre	fibre	PROPN
fis-5273	30	10	bragg	bragg	PROPN
fis-5273	30	11	grating	grating	PROPN
fis-5273	30	12	(	(	PUNCT
fis-5273	30	13	fbg	fbg	PROPN
fis-5273	30	14	)	)	PUNCT
fis-5273	30	15	sensors	sensor	NOUN
fis-5273	30	16	to	to	PART
fis-5273	30	17	measure	measure	VERB
fis-5273	30	18	the	the	DET
fis-5273	30	19	strain	strain	NOUN
fis-5273	30	20	and	and	CCONJ
fis-5273	30	21	temperature	temperature	NOUN
fis-5273	30	22	at	at	ADP
fis-5273	30	23	discrete	discrete	ADJ
fis-5273	30	24	locations	location	NOUN
fis-5273	30	25	along	along	ADP
fis-5273	30	26	the	the	DET
fis-5273	30	27	bridge	bridge	NOUN
fis-5273	30	28	.	.	PUNCT
fis-5273	31	1	a	a	DET
fis-5273	31	2	deep	deep	ADJ
fis-5273	31	3	neural	neural	ADJ
fis-5273	31	4	network	network	NOUN
fis-5273	31	5	is	be	AUX
fis-5273	31	6	then	then	ADV
fis-5273	31	7	developed	develop	VERB
fis-5273	31	8	to	to	PART
fis-5273	31	9	convert	convert	VERB
fis-5273	31	10	the	the	DET
fis-5273	31	11	strain	strain	NOUN
fis-5273	31	12	data	datum	NOUN
fis-5273	31	13	into	into	ADP
fis-5273	31	14	an	an	DET
fis-5273	31	15	interactive	interactive	ADJ
fis-5273	31	16	digital	digital	ADJ
fis-5273	31	17	twin	twin	ADJ
fis-5273	31	18	visualization	visualization	NOUN
fis-5273	31	19	and	and	CCONJ
fis-5273	31	20	is	be	AUX
fis-5273	31	21	used	use	VERB
fis-5273	31	22	to	to	PART
fis-5273	31	23	predict	predict	VERB
fis-5273	31	24	the	the	DET
fis-5273	31	25	reinforced	reinforce	VERB
fis-5273	31	26	concrete	concrete	ADJ
fis-5273	31	27	bridge	bridge	NOUN
fis-5273	31	28	health	health	NOUN
fis-5273	31	29	.	.	PUNCT
fis-5273	32	1	the	the	DET
fis-5273	32	2	digital	digital	ADJ
fis-5273	32	3	twin	twin	NOUN
fis-5273	32	4	of	of	ADP
fis-5273	32	5	a	a	DET
fis-5273	32	6	bridge	bridge	NOUN
fis-5273	32	7	is	be	AUX
fis-5273	32	8	calibrated	calibrate	VERB
fis-5273	32	9	using	use	VERB
fis-5273	32	10	data	datum	NOUN
fis-5273	32	11	collected	collect	VERB
fis-5273	32	12	from	from	ADP
fis-5273	32	13	sensors	sensor	NOUN
fis-5273	32	14	and	and	CCONJ
fis-5273	32	15	the	the	DET
fis-5273	32	16	support	support	NOUN
fis-5273	32	17	vector	vector	NOUN
fis-5273	32	18	machine	machine	NOUN
fis-5273	32	19	algorithms	algorithm	NOUN
fis-5273	32	20	used	use	VERB
fis-5273	32	21	to	to	PART
fis-5273	32	22	ensure	ensure	VERB
fis-5273	32	23	the	the	DET
fis-5273	32	24	safety	safety	NOUN
fis-5273	32	25	of	of	ADP
fis-5273	32	26	the	the	DET
fis-5273	32	27	bridge	bridge	NOUN
fis-5273	32	28	are	be	AUX
fis-5273	32	29	proposed	propose	VERB
fis-5273	32	30	[	[	X
fis-5273	32	31	1	1	NUM
fis-5273	32	32	]	]	PUNCT
fis-5273	32	33	.	.	PUNCT
fis-5273	33	1	a	a	DET
fis-5273	33	2	decision	decision	NOUN
fis-5273	33	3	tree	tree	NOUN
fis-5273	33	4	framework	framework	NOUN
fis-5273	33	5	is	be	AUX
fis-5273	33	6	proposed	propose	VERB
fis-5273	33	7	to	to	PART
fis-5273	33	8	perform	perform	VERB
fis-5273	33	9	anomaly	anomaly	NOUN
fis-5273	33	10	detection	detection	NOUN
fis-5273	33	11	multiclass	multiclass	ADJ
fis-5273	33	12	classification	classification	NOUN
fis-5273	33	13	of	of	ADP
fis-5273	33	14	acceleration	acceleration	NOUN
fis-5273	33	15	data	datum	NOUN
fis-5273	33	16	collected	collect	VERB
fis-5273	33	17	from	from	ADP
fis-5273	33	18	a	a	DET
fis-5273	33	19	real	real	ADJ
fis-5273	33	20	-	-	PUNCT
fis-5273	33	21	life	life	NOUN
fis-5273	33	22	bridge	bridge	NOUN
fis-5273	33	23	[	[	X
fis-5273	33	24	21	21	NUM
fis-5273	33	25	]	]	PUNCT
fis-5273	33	26	.	.	PUNCT
fis-5273	34	1	modern	modern	ADJ
fis-5273	34	2	monitoring	monitoring	NOUN
fis-5273	34	3	technologies	technology	NOUN
fis-5273	34	4	include	include	VERB
fis-5273	34	5	,	,	PUNCT
fis-5273	34	6	among	among	ADP
fis-5273	34	7	others	other	NOUN
fis-5273	34	8	,	,	PUNCT
fis-5273	34	9	smart	smart	ADJ
fis-5273	34	10	sensors	sensor	NOUN
fis-5273	34	11	,	,	PUNCT
fis-5273	34	12	wireless	wireless	ADJ
fis-5273	34	13	sensors	sensor	NOUN
fis-5273	34	14	,	,	PUNCT
fis-5273	34	15	global	global	ADJ
fis-5273	34	16	positioning	positioning	NOUN
fis-5273	34	17	systems	system	NOUN
fis-5273	34	18	(	(	PUNCT
fis-5273	34	19	gps	gps	PROPN
fis-5273	34	20	)	)	PUNCT
fis-5273	34	21	,	,	PUNCT
fis-5273	34	22	fiber	fiber	NOUN
fis-5273	34	23	sensors	sensor	NOUN
fis-5273	34	24	(	(	PUNCT
fis-5273	34	25	ofs	ofs	PROPN
fis-5273	34	26	)	)	PUNCT
fis-5273	34	27	,	,	PUNCT
fis-5273	34	28	radars	radar	NOUN
fis-5273	34	29	,	,	PUNCT
fis-5273	34	30	micro	micro	X
fis-5273	34	31	electro	electro	VERB
fis-5273	34	32	mechanical	mechanical	ADJ
fis-5273	34	33	systems	system	NOUN
fis-5273	34	34	(	(	PUNCT
fis-5273	34	35	mems	mem	NOUN
fis-5273	34	36	)	)	PUNCT
fis-5273	34	37	are	be	AUX
fis-5273	34	38	the	the	DET
fis-5273	34	39	evidence	evidence	NOUN
fis-5273	34	40	of	of	ADP
fis-5273	34	41	the	the	DET
fis-5273	34	42	potential	potential	NOUN
fis-5273	34	43	of	of	ADP
fis-5273	34	44	this	this	DET
fis-5273	34	45	monitoring	monitoring	NOUN
fis-5273	34	46	tool	tool	NOUN
fis-5273	34	47	for	for	ADP
fis-5273	34	48	shm	shm	NOUN
fis-5273	34	49	applications	application	NOUN
fis-5273	34	50	[	[	X
fis-5273	34	51	3	3	NUM
fis-5273	34	52	]	]	PUNCT
fis-5273	34	53	.	.	PUNCT
fis-5273	35	1	this	this	DET
fis-5273	35	2	paper	paper	NOUN
fis-5273	35	3	uses	use	VERB
fis-5273	35	4	deflection	deflection	NOUN
fis-5273	35	5	data	datum	NOUN
fis-5273	35	6	collected	collect	VERB
fis-5273	35	7	from	from	ADP
fis-5273	35	8	measurement	measurement	NOUN
fis-5273	35	9	as	as	ADP
fis-5273	35	10	the	the	DET
fis-5273	35	11	input	input	NOUN
fis-5273	35	12	data	datum	NOUN
fis-5273	35	13	set	set	VERB
fis-5273	35	14	.	.	PUNCT
fis-5273	36	1	wavelet	wavelet	NOUN
fis-5273	36	2	transform	transform	NOUN
fis-5273	36	3	is	be	AUX
fis-5273	36	4	then	then	ADV
fis-5273	36	5	used	use	VERB
fis-5273	36	6	to	to	PART
fis-5273	36	7	analysis	analysis	VERB
fis-5273	36	8	the	the	DET
fis-5273	36	9	response	response	NOUN
fis-5273	36	10	data	datum	NOUN
fis-5273	36	11	.	.	PUNCT
fis-5273	37	1	only	only	ADV
fis-5273	37	2	the	the	DET
fis-5273	37	3	response	response	NOUN
fis-5273	37	4	of	of	ADP
fis-5273	37	5	the	the	DET
fis-5273	37	6	damaged	damage	VERB
fis-5273	37	7	structure	structure	NOUN
fis-5273	37	8	is	be	AUX
fis-5273	37	9	required	require	VERB
fis-5273	37	10	to	to	PART
fis-5273	37	11	detect	detect	VERB
fis-5273	37	12	damage	damage	NOUN
fis-5273	37	13	in	in	ADP
fis-5273	37	14	a	a	DET
fis-5273	37	15	structure	structure	NOUN
fis-5273	37	16	[	[	X
fis-5273	37	17	7	7	NUM
fis-5273	37	18	]	]	PUNCT
fis-5273	37	19	.	.	PUNCT
fis-5273	38	1	the	the	DET
fis-5273	38	2	review	review	NOUN
fis-5273	38	3	and	and	CCONJ
fis-5273	38	4	discussion	discussion	NOUN
fis-5273	38	5	of	of	ADP
fis-5273	38	6	using	use	VERB
fis-5273	38	7	wavelet	wavelet	NOUN
fis-5273	38	8	-	-	PUNCT
fis-5273	38	9	based	base	VERB
fis-5273	38	10	method	method	NOUN
fis-5273	38	11	applied	apply	VERB
fis-5273	38	12	to	to	ADP
fis-5273	38	13	various	various	ADJ
fis-5273	38	14	civil	civil	ADJ
fis-5273	38	15	and	and	CCONJ
fis-5273	38	16	mechanical	mechanical	ADJ
fis-5273	38	17	structures	structure	NOUN
fis-5273	38	18	are	be	AUX
fis-5273	38	19	presented	present	VERB
fis-5273	38	20	in	in	ADP
fis-5273	38	21	the	the	DET
fis-5273	38	22	articles	article	NOUN
fis-5273	38	23	[	[	X
fis-5273	38	24	12	12	NUM
fis-5273	38	25	]	]	PUNCT
fis-5273	38	26	.	.	PUNCT
fis-5273	39	1	the	the	DET
fis-5273	39	2	authors	author	NOUN
fis-5273	39	3	pointed	point	VERB
fis-5273	39	4	out	out	ADP
fis-5273	39	5	that	that	SCONJ
fis-5273	39	6	the	the	DET
fis-5273	39	7	measurement	measurement	NOUN
fis-5273	39	8	of	of	ADP
fis-5273	39	9	damage	damage	NOUN
fis-5273	39	10	severity	severity	NOUN
fis-5273	39	11	is	be	AUX
fis-5273	39	12	still	still	ADV
fis-5273	39	13	a	a	DET
fis-5273	39	14	concern	concern	NOUN
fis-5273	39	15	.	.	PUNCT
fis-5273	40	1	for	for	ADP
fis-5273	40	2	slab	slab	NOUN
fis-5273	40	3	structure	structure	NOUN
fis-5273	40	4	,	,	PUNCT
fis-5273	40	5	a	a	DET
fis-5273	40	6	twodimensional	twodimensional	ADJ
fis-5273	40	7	wavelet	wavelet	NOUN
fis-5273	40	8	transform	transform	NOUN
fis-5273	40	9	extracted	extract	VERB
fis-5273	40	10	from	from	ADP
fis-5273	40	11	deflection	deflection	NOUN
fis-5273	40	12	data	datum	NOUN
fis-5273	40	13	needs	need	VERB
fis-5273	40	14	to	to	PART
fis-5273	40	15	be	be	AUX
fis-5273	40	16	composed	compose	VERB
fis-5273	40	17	.	.	PUNCT
fis-5273	41	1	therefore	therefore	ADV
fis-5273	41	2	,	,	PUNCT
fis-5273	41	3	in	in	ADP
fis-5273	41	4	this	this	DET
fis-5273	41	5	research	research	NOUN
fis-5273	41	6	,	,	PUNCT
fis-5273	41	7	a	a	DET
fis-5273	41	8	twodimensional	twodimensional	ADJ
fis-5273	41	9	continuous	continuous	ADJ
fis-5273	41	10	wavelet	wavelet	NOUN
fis-5273	41	11	transform	transform	NOUN
fis-5273	41	12	for	for	ADP
fis-5273	41	13	the	the	DET
fis-5273	41	14	slab	slab	NOUN
fis-5273	41	15	will	will	AUX
fis-5273	41	16	be	be	AUX
fis-5273	41	17	converted	convert	VERB
fis-5273	41	18	into	into	ADP
fis-5273	41	19	a	a	DET
fis-5273	41	20	picture	picture	NOUN
fis-5273	41	21	and	and	CCONJ
fis-5273	41	22	used	use	VERB
fis-5273	41	23	to	to	PART
fis-5273	41	24	train	train	VERB
fis-5273	41	25	the	the	DET
fis-5273	41	26	convolutional	convolutional	ADJ
fis-5273	41	27	neural	neural	ADJ
fis-5273	41	28	networks	network	NOUN
fis-5273	41	29	for	for	ADP
fis-5273	41	30	damage	damage	NOUN
fis-5273	41	31	location	location	NOUN
fis-5273	41	32	and	and	CCONJ
fis-5273	41	33	severity	severity	NOUN
fis-5273	41	34	.	.	PUNCT
fis-5273	42	1	the	the	DET
fis-5273	42	2	training	training	NOUN
fis-5273	42	3	data	datum	NOUN
fis-5273	42	4	set	set	VERB
fis-5273	42	5	is	be	AUX
fis-5273	42	6	created	create	VERB
fis-5273	42	7	by	by	ADP
fis-5273	42	8	using	use	VERB
fis-5273	42	9	the	the	DET
fis-5273	42	10	digital	digital	ADJ
fis-5273	42	11	twin	twin	ADJ
fis-5273	42	12	model	model	NOUN
fis-5273	42	13	.	.	PUNCT
fis-5273	43	1	the	the	DET
fis-5273	43	2	classification	classification	NOUN
fis-5273	43	3	in	in	ADP
fis-5273	43	4	this	this	DET
fis-5273	43	5	study	study	NOUN
fis-5273	43	6	is	be	AUX
fis-5273	43	7	provided	provide	VERB
fis-5273	43	8	with	with	ADP
fis-5273	43	9	deep	deep	ADJ
fis-5273	43	10	learning	learning	NOUN
fis-5273	43	11	algorithms	algorithm	NOUN
fis-5273	43	12	through	through	ADP
fis-5273	43	13	image	image	NOUN
fis-5273	43	14	classification	classification	NOUN
fis-5273	43	15	methods	method	NOUN
fis-5273	43	16	:	:	PUNCT
fis-5273	43	17	traditional	traditional	ADJ
fis-5273	43	18	cnn	cnn	PROPN
fis-5273	43	19	and	and	CCONJ
fis-5273	43	20	mobilenetv2	mobilenetv2	PROPN
fis-5273	43	21	.	.	PUNCT
fis-5273	44	1	the	the	DET
fis-5273	44	2	contributions	contribution	NOUN
fis-5273	44	3	of	of	ADP
fis-5273	44	4	this	this	DET
fis-5273	44	5	work	work	NOUN
fis-5273	44	6	are	be	AUX
fis-5273	44	7	as	as	SCONJ
fis-5273	44	8	follows	follow	VERB
fis-5273	44	9	:	:	PUNCT
fis-5273	44	10			NOUN
fis-5273	44	11	we	we	PRON
fis-5273	44	12	utilise	utilise	VERB
fis-5273	44	13	defection	defection	NOUN
fis-5273	44	14	data	datum	NOUN
fis-5273	44	15	to	to	PART
fis-5273	44	16	facilitate	facilitate	VERB
fis-5273	44	17	the	the	DET
fis-5273	44	18	wavelet	wavelet	NOUN
fis-5273	44	19	transform	transform	NOUN
fis-5273	44	20	based	base	VERB
fis-5273	44	21	analysis	analysis	NOUN
fis-5273	44	22	where	where	SCONJ
fis-5273	44	23	only	only	ADV
fis-5273	44	24	the	the	DET
fis-5273	44	25	response	response	NOUN
fis-5273	44	26	is	be	AUX
fis-5273	44	27	required	require	VERB
fis-5273	44	28	to	to	PART
fis-5273	44	29	detect	detect	VERB
fis-5273	44	30	damage	damage	NOUN
fis-5273	44	31	.	.	PUNCT
fis-5273	45	1	this	this	DET
fis-5273	45	2	technique	technique	NOUN
fis-5273	45	3	does	do	AUX
fis-5273	45	4	not	not	PART
fis-5273	45	5	require	require	VERB
fis-5273	45	6	the	the	DET
fis-5273	45	7	response	response	NOUN
fis-5273	45	8	data	datum	NOUN
fis-5273	45	9	of	of	ADP
fis-5273	45	10	intact	intact	ADJ
fis-5273	45	11	structure	structure	NOUN
fis-5273	45	12	which	which	PRON
fis-5273	45	13	is	be	AUX
fis-5273	45	14	hard	hard	ADJ
fis-5273	45	15	to	to	PART
fis-5273	45	16	collect	collect	VERB
fis-5273	45	17	in	in	ADP
fis-5273	45	18	many	many	ADJ
fis-5273	45	19	cases	case	NOUN
fis-5273	45	20	.	.	PUNCT
fis-5273	46	1			NOUN
fis-5273	46	2	we	we	PRON
fis-5273	46	3	develop	develop	VERB
fis-5273	46	4	a	a	DET
fis-5273	46	5	signal	signal	ADJ
fis-5273	46	6	processing	processing	NOUN
fis-5273	46	7	algorithm	algorithm	NOUN
fis-5273	46	8	to	to	PART
fis-5273	46	9	prepare	prepare	VERB
fis-5273	46	10	for	for	ADP
fis-5273	46	11	the	the	DET
fis-5273	46	12	digital	digital	ADJ
fis-5273	46	13	twin	twin	ADJ
fis-5273	46	14	model	model	NOUN
fis-5273	46	15	based	base	VERB
fis-5273	46	16	on	on	ADP
fis-5273	46	17	the	the	DET
fis-5273	46	18	dynamic	dynamic	ADJ
fis-5273	46	19	characteristics	characteristic	NOUN
fis-5273	46	20	of	of	ADP
fis-5273	46	21	the	the	DET
fis-5273	46	22	physical	physical	ADJ
fis-5273	46	23	model	model	NOUN
fis-5273	46	24	of	of	ADP
fis-5273	46	25	a	a	DET
fis-5273	46	26	slab	slab	NOUN
fis-5273	46	27	in	in	ADP
fis-5273	46	28	the	the	DET
fis-5273	46	29	laboratory	laboratory	NOUN
fis-5273	46	30	.	.	PUNCT
fis-5273	47	1	in	in	ADP
fis-5273	47	2	this	this	DET
fis-5273	47	3	algorithm	algorithm	NOUN
fis-5273	47	4	,	,	PUNCT
fis-5273	47	5	natural	natural	ADJ
fis-5273	47	6	frequencies	frequency	NOUN
fis-5273	47	7	are	be	AUX
fis-5273	47	8	used	use	VERB
fis-5273	47	9	as	as	ADP
fis-5273	47	10	the	the	DET
fis-5273	47	11	objective	objective	ADJ
fis-5273	47	12	function	function	NOUN
fis-5273	47	13	while	while	SCONJ
fis-5273	47	14	gwo	gwo	PROPN
fis-5273	47	15	and	and	CCONJ
fis-5273	47	16	cuckoo	cuckoo	NOUN
fis-5273	47	17	search	search	NOUN
fis-5273	47	18	methods	method	NOUN
fis-5273	47	19	are	be	AUX
fis-5273	47	20	used	use	VERB
fis-5273	47	21	for	for	ADP
fis-5273	47	22	optimization	optimization	NOUN
fis-5273	47	23	.	.	PUNCT
fis-5273	48	1			NOUN
fis-5273	48	2	we	we	PRON
fis-5273	48	3	create	create	VERB
fis-5273	48	4	a	a	DET
fis-5273	48	5	digital	digital	ADJ
fis-5273	48	6	twin	twin	ADJ
fis-5273	48	7	framework	framework	NOUN
fis-5273	48	8	to	to	PART
fis-5273	48	9	help	help	VERB
fis-5273	48	10	train	train	VERB
fis-5273	48	11	the	the	DET
fis-5273	48	12	convolutional	convolutional	ADJ
fis-5273	48	13	neural	neural	ADJ
fis-5273	48	14	networks	network	NOUN
fis-5273	48	15	for	for	ADP
fis-5273	48	16	the	the	DET
fis-5273	48	17	detection	detection	NOUN
fis-5273	48	18	of	of	ADP
fis-5273	48	19	damage	damage	NOUN
fis-5273	48	20	location	location	NOUN
fis-5273	48	21	and	and	CCONJ
fis-5273	48	22	severity	severity	NOUN
fis-5273	48	23	,	,	PUNCT
fis-5273	48	24	employing	employ	VERB
fis-5273	48	25	a	a	DET
fis-5273	48	26	two	two	NUM
fis-5273	48	27	-	-	PUNCT
fis-5273	48	28	dimensional	dimensional	ADJ
fis-5273	48	29	continuous	continuous	ADJ
fis-5273	48	30	wavelet	wavelet	NOUN
fis-5273	48	31	transform	transform	NOUN
fis-5273	48	32	for	for	ADP
fis-5273	48	33	the	the	DET
fis-5273	48	34	slab	slab	NOUN
fis-5273	48	35	converting	convert	VERB
fis-5273	48	36	into	into	ADP
fis-5273	48	37	a	a	DET
fis-5273	48	38	picture	picture	NOUN
fis-5273	48	39	.	.	PUNCT
fis-5273	49	1	the	the	DET
fis-5273	49	2	classification	classification	NOUN
fis-5273	49	3	is	be	AUX
fis-5273	49	4	conducted	conduct	VERB
fis-5273	49	5	with	with	ADP
fis-5273	49	6	deep	deep	ADJ
fis-5273	49	7	learning	learning	NOUN
fis-5273	49	8	algorithms	algorithm	NOUN
fis-5273	49	9	through	through	ADP
fis-5273	49	10	image	image	NOUN
fis-5273	49	11	classification	classification	NOUN
fis-5273	49	12	methods	method	NOUN
fis-5273	49	13	:	:	PUNCT
fis-5273	49	14	traditional	traditional	ADJ
fis-5273	49	15	cnn	cnn	PROPN
fis-5273	49	16	and	and	CCONJ
fis-5273	49	17	mobilenetv2	mobilenetv2	PROPN
fis-5273	49	18	.	.	PUNCT
fis-5273	50	1	we	we	PRON
fis-5273	50	2	found	find	VERB
fis-5273	50	3	that	that	SCONJ
fis-5273	50	4	the	the	DET
fis-5273	50	5	accuracy	accuracy	NOUN
fis-5273	50	6	of	of	ADP
fis-5273	50	7	the	the	DET
fis-5273	50	8	framework	framework	NOUN
fis-5273	50	9	to	to	PART
fis-5273	50	10	detect	detect	VERB
fis-5273	50	11	damage	damage	NOUN
fis-5273	50	12	location	location	NOUN
fis-5273	50	13	is	be	AUX
fis-5273	50	14	more	more	ADJ
fis-5273	50	15	than	than	ADP
fis-5273	50	16	80	80	NUM
fis-5273	50	17	%	%	NOUN
fis-5273	50	18	and	and	CCONJ
fis-5273	51	1	the	the	DET
fis-5273	51	2	t	t	PROPN
fis-5273	51	3	d.	d.	PROPN
fis-5273	51	4	h.	h.	PROPN
fis-5273	51	5	nguyen	nguyen	PROPN
fis-5273	51	6	et	et	PROPN
fis-5273	51	7	alii	alii	PROPN
fis-5273	51	8	,	,	PUNCT
fis-5273	51	9	fracture	fracture	ADJ
fis-5273	51	10	and	and	CCONJ
fis-5273	51	11	structural	structural	ADJ
fis-5273	51	12	integrity	integrity	NOUN
fis-5273	51	13	,	,	PUNCT
fis-5273	51	14	72	72	NUM
fis-5273	51	15	(	(	PUNCT
fis-5273	51	16	2025	2025	NUM
fis-5273	51	17	)	)	PUNCT
fis-5273	51	18	121	121	NUM
fis-5273	51	19	-	-	SYM
fis-5273	51	20	136	136	NUM
fis-5273	51	21	;	;	PUNCT
fis-5273	51	22	doi	doi	NOUN
fis-5273	51	23	:	:	PUNCT
fis-5273	51	24	10.3221	10.3221	NUM
fis-5273	51	25	/	/	SYM
fis-5273	51	26	igf	igf	PROPN
fis-5273	51	27	-	-	ADJ
fis-5273	51	28	esis.72.09	esis.72.09	ADJ
fis-5273	51	29	123	123	NUM
fis-5273	51	30	severity	severity	NOUN
fis-5273	51	31	is	be	AUX
fis-5273	51	32	more	more	ADJ
fis-5273	51	33	than	than	ADP
fis-5273	51	34	90	90	NUM
fis-5273	51	35	%	%	NOUN
fis-5273	51	36	.	.	PUNCT
fis-5273	52	1	the	the	DET
fis-5273	52	2	traditional	traditional	ADJ
fis-5273	52	3	cnn	cnn	PROPN
fis-5273	52	4	provides	provide	VERB
fis-5273	52	5	higher	high	ADJ
fis-5273	52	6	accuracy	accuracy	NOUN
fis-5273	52	7	however	however	ADV
fis-5273	52	8	the	the	DET
fis-5273	52	9	number	number	NOUN
fis-5273	52	10	of	of	ADP
fis-5273	52	11	training	training	NOUN
fis-5273	52	12	parameters	parameter	NOUN
fis-5273	52	13	is	be	AUX
fis-5273	52	14	more	more	ADJ
fis-5273	52	15	than	than	ADP
fis-5273	52	16	the	the	DET
fis-5273	52	17	mobilenetv2	mobilenetv2	PROPN
fis-5273	52	18	and	and	CCONJ
fis-5273	52	19	requires	require	VERB
fis-5273	52	20	more	more	ADJ
fis-5273	52	21	time	time	NOUN
fis-5273	52	22	and	and	CCONJ
fis-5273	52	23	effort	effort	NOUN
fis-5273	52	24	to	to	PART
fis-5273	52	25	train	train	VERB
fis-5273	52	26	.	.	PUNCT
fis-5273	53	1			NOUN
fis-5273	53	2	we	we	PRON
fis-5273	53	3	successfully	successfully	ADV
fis-5273	53	4	use	use	VERB
fis-5273	53	5	mobilenetv2	mobilenetv2	PROPN
fis-5273	53	6	as	as	ADP
fis-5273	53	7	a	a	DET
fis-5273	53	8	deep	deep	ADJ
fis-5273	53	9	learning	learning	NOUN
fis-5273	53	10	base	base	NOUN
fis-5273	53	11	model	model	NOUN
fis-5273	53	12	and	and	CCONJ
fis-5273	53	13	transfer	transfer	NOUN
fis-5273	53	14	learning	learning	NOUN
fis-5273	53	15	.	.	PUNCT
fis-5273	54	1	this	this	PRON
fis-5273	54	2	is	be	AUX
fis-5273	54	3	the	the	DET
fis-5273	54	4	first	first	ADJ
fis-5273	54	5	step	step	NOUN
fis-5273	54	6	of	of	ADP
fis-5273	54	7	further	further	ADJ
fis-5273	54	8	implementation	implementation	NOUN
fis-5273	54	9	on	on	ADP
fis-5273	54	10	mobile	mobile	ADJ
fis-5273	54	11	devices	device	NOUN
fis-5273	54	12	.	.	PUNCT
fis-5273	55	1	with	with	ADP
fis-5273	55	2	the	the	DET
fis-5273	55	3	help	help	NOUN
fis-5273	55	4	of	of	ADP
fis-5273	55	5	transfer	transfer	NOUN
fis-5273	55	6	learning	learning	NOUN
fis-5273	55	7	,	,	PUNCT
fis-5273	55	8	the	the	DET
fis-5273	55	9	digital	digital	ADJ
fis-5273	55	10	twin	twin	ADJ
fis-5273	55	11	framework	framework	NOUN
fis-5273	55	12	can	can	AUX
fis-5273	55	13	be	be	AUX
fis-5273	55	14	built	build	VERB
fis-5273	55	15	with	with	ADP
fis-5273	55	16	less	less	ADJ
fis-5273	55	17	training	training	NOUN
fis-5273	55	18	data	datum	NOUN
fis-5273	55	19	set	set	VERB
fis-5273	55	20	and	and	CCONJ
fis-5273	55	21	high	high	ADJ
fis-5273	55	22	accuracy	accuracy	NOUN
fis-5273	55	23	.	.	PUNCT
fis-5273	56	1	methodology	methodology	NOUN
fis-5273	56	2	wavelet	wavelet	NOUN
fis-5273	56	3	theory	theory	PROPN
fis-5273	56	4	avelet	avelet	NOUN
fis-5273	56	5	was	be	AUX
fis-5273	56	6	first	first	ADV
fis-5273	56	7	introduced	introduce	VERB
fis-5273	56	8	by	by	ADP
fis-5273	56	9	mallat	mallat	NOUN
fis-5273	56	10	in	in	ADP
fis-5273	56	11	1989	1989	NUM
fis-5273	56	12	[	[	X
fis-5273	56	13	14	14	NUM
fis-5273	56	14	]	]	PUNCT
fis-5273	56	15	.	.	PUNCT
fis-5273	57	1	the	the	DET
fis-5273	57	2	basic	basic	ADJ
fis-5273	57	3	function	function	NOUN
fis-5273	57	4	of	of	ADP
fis-5273	57	5	wavelet	wavelet	NOUN
fis-5273	57	6	analysis	analysis	NOUN
fis-5273	57	7	is	be	AUX
fis-5273	57	8	two	two	NUM
fis-5273	57	9	parameters	parameter	NOUN
fis-5273	57	10	:	:	PUNCT
fis-5273	57	11	scale	scale	NOUN
fis-5273	57	12	and	and	CCONJ
fis-5273	57	13	translation	translation	NOUN
fis-5273	57	14	.	.	PUNCT
fis-5273	58	1	wavelets	wavelet	NOUN
fis-5273	58	2	can	can	AUX
fis-5273	58	3	be	be	AUX
fis-5273	58	4	real	real	ADJ
fis-5273	58	5	or	or	CCONJ
fis-5273	58	6	complex	complex	ADJ
fis-5273	58	7	functions	function	NOUN
fis-5273	58	8	.	.	PUNCT
fis-5273	59	1	the	the	DET
fis-5273	59	2	basic	basic	ADJ
fis-5273	59	3	function	function	NOUN
fis-5273	59	4	of	of	ADP
fis-5273	59	5	mother	mother	NOUN
fis-5273	59	6	wavelet	wavelet	NOUN
fis-5273	59	7	analysis	analysis	NOUN
fis-5273	59	8	can	can	AUX
fis-5273	59	9	be	be	AUX
fis-5273	59	10	the	the	DET
fis-5273	59	11	function	function	NOUN
fis-5273	59	12	of	of	ADP
fis-5273	59	13	time	time	NOUN
fis-5273	59	14	t	t	NOUN
fis-5273	59	15	or	or	CCONJ
fis-5273	59	16	space	space	NOUN
fis-5273	59	17	x.	x.	NOUN
fis-5273	59	18	in	in	ADP
fis-5273	59	19	this	this	DET
fis-5273	59	20	paper	paper	NOUN
fis-5273	59	21	,	,	PUNCT
fis-5273	59	22	the	the	DET
fis-5273	59	23	independent	independent	ADJ
fis-5273	59	24	variable	variable	NOUN
fis-5273	59	25	x	x	PRON
fis-5273	59	26	will	will	AUX
fis-5273	59	27	be	be	AUX
fis-5273	59	28	considered	consider	VERB
fis-5273	59	29	.	.	PUNCT
fis-5273	60	1	the	the	DET
fis-5273	60	2	discrete	discrete	ADJ
fis-5273	60	3	wavelet	wavelet	NOUN
fis-5273	60	4	transform	transform	NOUN
fis-5273	60	5	(	(	PUNCT
fis-5273	60	6	dwt	dwt	NOUN
fis-5273	60	7	)	)	PUNCT
fis-5273	60	8	uses	use	VERB
fis-5273	60	9	a	a	DET
fis-5273	60	10	discrete	discrete	ADJ
fis-5273	60	11	set	set	NOUN
fis-5273	60	12	of	of	ADP
fis-5273	60	13	the	the	DET
fis-5273	60	14	wavelet	wavelet	NOUN
fis-5273	60	15	scale	scale	NOUN
fis-5273	60	16	and	and	CCONJ
fis-5273	60	17	translation	translation	NOUN
fis-5273	60	18	and	and	CCONJ
fis-5273	60	19	must	must	AUX
fis-5273	60	20	satisfy	satisfy	VERB
fis-5273	60	21	some	some	DET
fis-5273	60	22	rules	rule	NOUN
fis-5273	60	23	.	.	PUNCT
fis-5273	61	1	the	the	DET
fis-5273	61	2	basic	basic	ADJ
fis-5273	61	3	function	function	NOUN
fis-5273	61	4	of	of	ADP
fis-5273	61	5	a	a	DET
fis-5273	61	6	wavelet	wavelet	NOUN
fis-5273	61	7	at	at	ADP
fis-5273	61	8	level	level	NOUN
fis-5273	61	9	j	j	PROPN
fis-5273	61	10	of	of	ADP
fis-5273	61	11	order	order	NOUN
fis-5273	61	12	n	n	PRON
fis-5273	61	13	can	can	AUX
fis-5273	61	14	be	be	AUX
fis-5273	61	15	represented	represent	VERB
fis-5273	61	16	as	as	ADP
fis-5273	61	17	[	[	X
fis-5273	61	18	4	4	NUM
fis-5273	61	19	]	]	PUNCT
fis-5273	61	20	:	:	PUNCT
fis-5273	61	21	ψ	ψ	X
fis-5273	61	22	n	n	X
fis-5273	61	23	=	=	SYM
fis-5273	61	24	∑	∑	PROPN
fis-5273	61	25	(	(	PUNCT
fis-5273	61	26	-1	-1	INTJ
fis-5273	61	27	)	)	PUNCT
fis-5273	61	28	j	j	PROPN
fis-5273	62	1	cj	cj	INTJ
fis-5273	62	2	(	(	PUNCT
fis-5273	62	3	2n+j	2n+j	NUM
fis-5273	62	4	-	-	PUNCT
fis-5273	62	5	n+1)n-1	n+1)n-1	ADJ
fis-5273	62	6	j=0	j=0	X
fis-5273	62	7	(	(	PUNCT
fis-5273	62	8	1	1	NUM
fis-5273	62	9	)	)	PUNCT
fis-5273	62	10	where	where	SCONJ
fis-5273	62	11	:	:	PUNCT
fis-5273	62	12	cj	cj	PROPN
fis-5273	62	13	is	be	AUX
fis-5273	62	14	the	the	DET
fis-5273	62	15	coefficient	coefficient	NOUN
fis-5273	62	16	.	.	PUNCT
fis-5273	63	1	two	two	NUM
fis-5273	63	2	following	follow	VERB
fis-5273	63	3	conditions	condition	NOUN
fis-5273	63	4	should	should	AUX
fis-5273	63	5	be	be	AUX
fis-5273	63	6	satisfied	satisfied	ADJ
fis-5273	63	7	:	:	PUNCT
fis-5273	63	8	ψ	ψ	X
fis-5273	63	9	t	t	PROPN
fis-5273	63	10	d	d	X
fis-5273	63	11	t	t	PROPN
fis-5273	63	12	=	=	SYM
fis-5273	63	13	0	0	NUM
fis-5273	63	14	∞	∞	NUM
fis-5273	63	15	-∞	-∞	PUNCT
fis-5273	63	16	(	(	PUNCT
fis-5273	63	17	2	2	NUM
fis-5273	63	18	)	)	PUNCT
fis-5273	63	19	|ψ	|ψ	ADP
fis-5273	64	1	t	t	PROPN
fis-5273	64	2	|2d	|2d	ADP
fis-5273	64	3	t	t	PROPN
fis-5273	64	4	<	<	X
fis-5273	64	5	∞	∞	PROPN
fis-5273	64	6	∞	∞	PROPN
fis-5273	64	7	-∞	-∞	PUNCT
fis-5273	64	8	(	(	PUNCT
fis-5273	64	9	3	3	X
fis-5273	64	10	)	)	PUNCT
fis-5273	64	11	the	the	DET
fis-5273	64	12	condition	condition	NOUN
fis-5273	64	13	presented	present	VERB
fis-5273	64	14	in	in	ADP
fis-5273	64	15	eqn.(2	eqn.(2	PROPN
fis-5273	64	16	)	)	PUNCT
fis-5273	65	1	is	be	AUX
fis-5273	65	2	to	to	PART
fis-5273	65	3	suggest	suggest	VERB
fis-5273	65	4	that	that	SCONJ
fis-5273	65	5	the	the	DET
fis-5273	65	6	basic	basic	ADJ
fis-5273	65	7	function	function	NOUN
fis-5273	65	8	is	be	AUX
fis-5273	65	9	oscillatory	oscillatory	ADJ
fis-5273	65	10	or	or	CCONJ
fis-5273	65	11	wave	wave	NOUN
fis-5273	65	12	shape	shape	NOUN
fis-5273	65	13	.	.	PUNCT
fis-5273	66	1	whereas	whereas	SCONJ
fis-5273	66	2	eqn	eqn	VERB
fis-5273	66	3	.	.	PUNCT
fis-5273	67	1	(	(	PUNCT
fis-5273	67	2	3	3	X
fis-5273	67	3	)	)	PUNCT
fis-5273	67	4	implies	imply	VERB
fis-5273	67	5	that	that	SCONJ
fis-5273	67	6	most	most	ADJ
fis-5273	67	7	of	of	ADP
fis-5273	67	8	the	the	DET
fis-5273	67	9	energy	energy	NOUN
fis-5273	67	10	in	in	ADP
fis-5273	67	11	the	the	DET
fis-5273	67	12	basis	basis	NOUN
fis-5273	67	13	function	function	NOUN
fis-5273	67	14	is	be	AUX
fis-5273	67	15	confined	confine	VERB
fis-5273	67	16	to	to	ADP
fis-5273	67	17	a	a	DET
fis-5273	67	18	finite	finite	ADJ
fis-5273	67	19	duration	duration	NOUN
fis-5273	67	20	.	.	PUNCT
fis-5273	68	1	the	the	DET
fis-5273	68	2	two	two	NUM
fis-5273	68	3	important	important	ADJ
fis-5273	68	4	properties	property	NOUN
fis-5273	68	5	of	of	ADP
fis-5273	68	6	a	a	DET
fis-5273	68	7	basic	basic	ADJ
fis-5273	68	8	function	function	NOUN
fis-5273	68	9	are	be	AUX
fis-5273	68	10	‘	'	PUNCT
fis-5273	68	11	orthogonality	orthogonality	NOUN
fis-5273	68	12	’	'	PUNCT
fis-5273	68	13	and	and	CCONJ
fis-5273	68	14	‘	'	PUNCT
fis-5273	68	15	biorthogonality	biorthogonality	NOUN
fis-5273	68	16	’	'	PUNCT
fis-5273	68	17	,	,	PUNCT
fis-5273	68	18	which	which	PRON
fis-5273	68	19	make	make	VERB
fis-5273	68	20	it	it	PRON
fis-5273	68	21	possible	possible	ADJ
fis-5273	68	22	to	to	PART
fis-5273	68	23	calculate	calculate	VERB
fis-5273	68	24	the	the	DET
fis-5273	68	25	coefficient	coefficient	NOUN
fis-5273	68	26	very	very	ADV
fis-5273	68	27	efficiently	efficiently	ADV
fis-5273	68	28	.	.	PUNCT
fis-5273	69	1	in	in	ADP
fis-5273	69	2	dwt	dwt	PROPN
fis-5273	69	3	,	,	PUNCT
fis-5273	69	4	the	the	DET
fis-5273	69	5	signals	signal	NOUN
fis-5273	69	6	can	can	AUX
fis-5273	69	7	be	be	AUX
fis-5273	69	8	presented	present	VERB
fis-5273	69	9	by	by	ADP
fis-5273	69	10	approximations	approximation	NOUN
fis-5273	69	11	and	and	CCONJ
fis-5273	69	12	details	detail	NOUN
fis-5273	69	13	.	.	PUNCT
fis-5273	70	1	at	at	ADP
fis-5273	70	2	level	level	PROPN
fis-5273	70	3	j	j	PROPN
fis-5273	70	4	,	,	PUNCT
fis-5273	70	5	the	the	DET
fis-5273	70	6	details	detail	NOUN
fis-5273	70	7	can	can	AUX
fis-5273	70	8	be	be	AUX
fis-5273	70	9	expressed	express	VERB
fis-5273	70	10	as	as	ADP
fis-5273	70	11	below	below	ADV
fis-5273	70	12	:	:	PUNCT
fis-5273	70	13	dj	dj	X
fis-5273	70	14	t	t	NOUN
fis-5273	70	15	=	=	NOUN
fis-5273	70	16	∑	∑	SYM
fis-5273	70	17	dj	dj	PROPN
fis-5273	70	18	,	,	PUNCT
fis-5273	70	19	kk∈z	kk∈z	VERB
fis-5273	70	20	ψj	ψj	ADV
fis-5273	70	21	,	,	PUNCT
fis-5273	70	22	k(t	k(t	PROPN
fis-5273	70	23	)	)	PUNCT
fis-5273	70	24	(	(	PUNCT
fis-5273	70	25	4	4	X
fis-5273	70	26	)	)	PUNCT
fis-5273	70	27	where	where	SCONJ
fis-5273	70	28	𝐷	𝐷	NOUN
fis-5273	70	29	,	,	PUNCT
fis-5273	70	30	is	be	AUX
fis-5273	70	31	the	the	DET
fis-5273	70	32	wavelet	wavelet	NOUN
fis-5273	70	33	coefficients	coefficient	NOUN
fis-5273	70	34	at	at	ADP
fis-5273	70	35	level	level	NOUN
fis-5273	70	36	j	j	PROPN
fis-5273	70	37	and	and	CCONJ
fis-5273	70	38	z	z	PROPN
fis-5273	70	39	is	be	AUX
fis-5273	70	40	a	a	DET
fis-5273	70	41	set	set	NOUN
fis-5273	70	42	of	of	ADP
fis-5273	70	43	positive	positive	ADJ
fis-5273	70	44	integers	integer	NOUN
fis-5273	70	45	.	.	PUNCT
fis-5273	71	1	the	the	DET
fis-5273	71	2	approximation	approximation	NOUN
fis-5273	71	3	at	at	ADP
fis-5273	71	4	level	level	NOUN
fis-5273	71	5	j	j	PROPN
fis-5273	71	6	is	be	AUX
fis-5273	71	7	presented	present	VERB
fis-5273	71	8	as	as	ADP
fis-5273	71	9	:	:	PUNCT
fis-5273	71	10	aj=∑	aj=∑	PROPN
fis-5273	71	11	djj	djj	PROPN
fis-5273	71	12	>	>	PROPN
fis-5273	71	13	j	j	PROPN
fis-5273	71	14	(	(	PUNCT
fis-5273	71	15	5	5	NUM
fis-5273	71	16	)	)	PUNCT
fis-5273	71	17	finally	finally	ADV
fis-5273	71	18	,	,	PUNCT
fis-5273	71	19	the	the	DET
fis-5273	71	20	signal	signal	NOUN
fis-5273	71	21	f(t	f(t	PROPN
fis-5273	71	22	)	)	PUNCT
fis-5273	71	23	can	can	AUX
fis-5273	71	24	be	be	AUX
fis-5273	71	25	presented	present	VERB
fis-5273	71	26	as	as	SCONJ
fis-5273	71	27	:	:	PUNCT
fis-5273	71	28	f	f	PROPN
fis-5273	71	29	t	t	PROPN
fis-5273	71	30	=	=	PROPN
fis-5273	71	31	aj+∑	aj+∑	PROPN
fis-5273	71	32	djj	djj	PROPN
fis-5273	71	33	<	<	PROPN
fis-5273	71	34	j	j	PROPN
fis-5273	71	35	(	(	PUNCT
fis-5273	71	36	6	6	NUM
fis-5273	71	37	)	)	PUNCT
fis-5273	71	38	the	the	DET
fis-5273	71	39	wavelet	wavelet	NOUN
fis-5273	71	40	transform	transform	NOUN
fis-5273	71	41	can	can	AUX
fis-5273	71	42	be	be	AUX
fis-5273	71	43	extended	extend	VERB
fis-5273	71	44	to	to	ADP
fis-5273	71	45	any	any	DET
fis-5273	71	46	dimension	dimension	NOUN
fis-5273	71	47	.	.	PUNCT
fis-5273	72	1	in	in	ADP
fis-5273	72	2	slab	slab	NOUN
fis-5273	72	3	structures	structure	NOUN
fis-5273	72	4	,	,	PUNCT
fis-5273	72	5	a	a	DET
fis-5273	72	6	two	two	NUM
fis-5273	72	7	-	-	PUNCT
fis-5273	72	8	dimensional	dimensional	ADJ
fis-5273	72	9	wavelet	wavelet	NOUN
fis-5273	72	10	transform	transform	NOUN
fis-5273	72	11	is	be	AUX
fis-5273	72	12	analysed	analyse	VERB
fis-5273	72	13	to	to	PART
fis-5273	72	14	localize	localize	VERB
fis-5273	72	15	the	the	DET
fis-5273	72	16	damage	damage	NOUN
fis-5273	72	17	.	.	PUNCT
fis-5273	73	1	two	two	NUM
fis-5273	73	2	-	-	PUNCT
fis-5273	73	3	dimensional	dimensional	ADJ
fis-5273	73	4	scaling	scaling	NOUN
fis-5273	73	5	function	function	NOUN
fis-5273	73	6	φ(x	φ(x	PROPN
fis-5273	73	7	,	,	PUNCT
fis-5273	73	8	y	y	NOUN
fis-5273	73	9	)	)	PUNCT
fis-5273	73	10	,	,	PUNCT
fis-5273	73	11	and	and	CCONJ
fis-5273	73	12	three	three	NUM
fis-5273	73	13	two	two	NUM
fis-5273	73	14	-	-	PUNCT
fis-5273	73	15	dimensional	dimensional	ADJ
fis-5273	73	16	wavelet	wavelet	NOUN
fis-5273	73	17	ψ	ψ	ADP
fis-5273	73	18	h(x	h(x	PROPN
fis-5273	73	19	,	,	PUNCT
fis-5273	73	20	y	y	PROPN
fis-5273	73	21	)	)	PUNCT
fis-5273	73	22	,	,	PUNCT
fis-5273	73	23	ψ	ψ	ADP
fis-5273	73	24	v(x	v(x	PROPN
fis-5273	73	25	,	,	PUNCT
fis-5273	73	26	y	y	PROPN
fis-5273	73	27	)	)	PUNCT
fis-5273	73	28	,	,	PUNCT
fis-5273	73	29	ψ	ψ	ADP
fis-5273	73	30	d(x	d(x	PROPN
fis-5273	73	31	,	,	PUNCT
fis-5273	73	32	y	y	NOUN
fis-5273	73	33	)	)	PUNCT
fis-5273	73	34	are	be	AUX
fis-5273	73	35	presented	present	VERB
fis-5273	73	36	as	as	ADP
fis-5273	73	37	the	the	DET
fis-5273	73	38	product	product	NOUN
fis-5273	73	39	of	of	ADP
fis-5273	73	40	one	one	NUM
fis-5273	73	41	-	-	PUNCT
fis-5273	73	42	dimensional	dimensional	ADJ
fis-5273	73	43	as	as	ADP
fis-5273	73	44	below	below	ADV
fis-5273	73	45	:	:	PUNCT
fis-5273	73	46	φ	φ	PROPN
fis-5273	73	47	x	x	PROPN
fis-5273	73	48	,	,	PUNCT
fis-5273	73	49	y	y	PROPN
fis-5273	73	50	=	=	PROPN
fis-5273	73	51	φ	φ	PROPN
fis-5273	73	52	x	x	X
fis-5273	73	53	.φ(y	.φ(y	PROPN
fis-5273	73	54	)	)	PUNCT
fis-5273	73	55	(	(	PUNCT
fis-5273	74	1	7	7	X
fis-5273	74	2	)	)	PUNCT
fis-5273	74	3	ψ	ψ	NOUN
fis-5273	74	4	h	h	NOUN
fis-5273	74	5	x	x	NOUN
fis-5273	74	6	,	,	PUNCT
fis-5273	74	7	y	y	PROPN
fis-5273	74	8	=	=	SYM
fis-5273	74	9	ψ	ψ	PROPN
fis-5273	74	10	x	x	X
fis-5273	74	11	.φ	.φ	NOUN
fis-5273	74	12	y	y	PROPN
fis-5273	74	13	(	(	PUNCT
fis-5273	74	14	8)	8)	NUM
fis-5273	74	15	ψ	ψ	NOUN
fis-5273	74	16	v	v	NOUN
fis-5273	74	17	x	x	NOUN
fis-5273	74	18	,	,	PUNCT
fis-5273	74	19	y	y	PROPN
fis-5273	74	20	=	=	SYM
fis-5273	74	21	φ	φ	PROPN
fis-5273	74	22	x	x	X
fis-5273	75	1	.ψ	.ψ	PROPN
fis-5273	75	2	y	y	PROPN
fis-5273	75	3	(	(	PUNCT
fis-5273	75	4	9	9	NUM
fis-5273	75	5	)	)	PUNCT
fis-5273	76	1	w	w	PROPN
fis-5273	76	2	d.	d.	PROPN
fis-5273	76	3	h.	h.	PROPN
fis-5273	76	4	nguyen	nguyen	PROPN
fis-5273	76	5	et	et	PROPN
fis-5273	76	6	alii	alii	PROPN
fis-5273	76	7	,	,	PUNCT
fis-5273	76	8	fracture	fracture	ADJ
fis-5273	76	9	and	and	CCONJ
fis-5273	76	10	structural	structural	ADJ
fis-5273	76	11	integrity	integrity	NOUN
fis-5273	76	12	,	,	PUNCT
fis-5273	76	13	72	72	NUM
fis-5273	76	14	(	(	PUNCT
fis-5273	76	15	2025	2025	NUM
fis-5273	76	16	)	)	PUNCT
fis-5273	76	17	121	121	NUM
fis-5273	76	18	-	-	SYM
fis-5273	76	19	136	136	NUM
fis-5273	76	20	;	;	PUNCT
fis-5273	76	21	doi	doi	NOUN
fis-5273	76	22	:	:	PUNCT
fis-5273	76	23	10.3221	10.3221	NUM
fis-5273	76	24	/	/	SYM
fis-5273	76	25	igf	igf	PROPN
fis-5273	76	26	-	-	ADJ
fis-5273	76	27	esis.72.09	esis.72.09	PROPN
fis-5273	77	1	124	124	NUM
fis-5273	77	2	ψ	ψ	NOUN
fis-5273	77	3	d	d	X
fis-5273	77	4	x	x	PROPN
fis-5273	77	5	,	,	PUNCT
fis-5273	77	6	y	y	PROPN
fis-5273	77	7	=	=	SYM
fis-5273	77	8	ψ	ψ	PROPN
fis-5273	77	9	x	x	X
fis-5273	77	10	.ψ	.ψ	PROPN
fis-5273	77	11	y	y	PROPN
fis-5273	77	12	(	(	PUNCT
fis-5273	77	13	10	10	NUM
fis-5273	77	14	)	)	PUNCT
fis-5273	77	15	the	the	DET
fis-5273	77	16	first	first	ADJ
fis-5273	77	17	scale	scale	NOUN
fis-5273	77	18	input	input	NOUN
fis-5273	77	19	is	be	AUX
fis-5273	77	20	two	two	NUM
fis-5273	77	21	-	-	PUNCT
fis-5273	77	22	dimensional	dimensional	ADJ
fis-5273	77	23	signal	signal	NOUN
fis-5273	77	24	f(x	f(x	PROPN
fis-5273	77	25	,	,	PUNCT
fis-5273	77	26	y	y	PROPN
fis-5273	77	27	)	)	PUNCT
fis-5273	77	28	,	,	PUNCT
fis-5273	77	29	the	the	DET
fis-5273	77	30	output	output	NOUN
fis-5273	77	31	is	be	AUX
fis-5273	77	32	four	four	NUM
fis-5273	77	33	quarter	quarter	NOUN
fis-5273	77	34	-	-	PUNCT
fis-5273	77	35	sized	sized	ADJ
fis-5273	77	36	sub	sub	NOUN
fis-5273	77	37	-	-	NOUN
fis-5273	77	38	images	image	NOUN
fis-5273	77	39	(	(	PUNCT
fis-5273	77	40	wφ	wφ	NOUN
fis-5273	77	41	is	be	AUX
fis-5273	77	42	an	an	DET
fis-5273	77	43	approximation	approximation	NOUN
fis-5273	77	44	sub	sub	NOUN
fis-5273	77	45	-	-	NOUN
fis-5273	77	46	image	image	NOUN
fis-5273	77	47	,	,	PUNCT
fis-5273	77	48	and	and	CCONJ
fis-5273	77	49	wψ	wψ	ADP
fis-5273	77	50	h	h	NOUN
fis-5273	77	51	,	,	PUNCT
fis-5273	77	52	wψ	wψ	ADP
fis-5273	77	53	v	v	NOUN
fis-5273	77	54	,	,	PUNCT
fis-5273	77	55	wψ	wψ	SCONJ
fis-5273	77	56	d	d	NOUN
fis-5273	77	57	are	be	AUX
fis-5273	77	58	the	the	DET
fis-5273	77	59	horizontal	horizontal	ADJ
fis-5273	77	60	,	,	PUNCT
fis-5273	77	61	vertical	vertical	ADJ
fis-5273	77	62	,	,	PUNCT
fis-5273	77	63	and	and	CCONJ
fis-5273	77	64	diagonal	diagonal	ADJ
fis-5273	77	65	direction	direction	NOUN
fis-5273	77	66	sub	sub	NOUN
fis-5273	77	67	-	-	NOUN
fis-5273	77	68	image	image	ADJ
fis-5273	77	69	,	,	PUNCT
fis-5273	77	70	respectively	respectively	ADV
fis-5273	77	71	)	)	PUNCT
fis-5273	77	72	.	.	PUNCT
fis-5273	78	1	some	some	PRON
fis-5273	78	2	of	of	ADP
fis-5273	78	3	the	the	DET
fis-5273	78	4	most	most	ADV
fis-5273	78	5	well	well	ADV
fis-5273	78	6	-	-	PUNCT
fis-5273	78	7	known	know	VERB
fis-5273	78	8	wavelets	wavelet	NOUN
fis-5273	78	9	that	that	PRON
fis-5273	78	10	are	be	AUX
fis-5273	78	11	available	available	ADJ
fis-5273	78	12	in	in	ADP
fis-5273	78	13	matlab	matlab	PROPN
fis-5273	78	14	toolbox	toolbox	NOUN
fis-5273	78	15	are	be	AUX
fis-5273	78	16	:	:	PUNCT
fis-5273	78	17	the	the	DET
fis-5273	78	18	gaussian	gaussian	ADJ
fis-5273	78	19	mexican	mexican	ADJ
fis-5273	78	20	hat	hat	NOUN
fis-5273	78	21	,	,	PUNCT
fis-5273	78	22	morlet	morlet	NOUN
fis-5273	78	23	,	,	PUNCT
fis-5273	78	24	and	and	CCONJ
fis-5273	78	25	shannon	shannon	PROPN
fis-5273	78	26	,	,	PUNCT
fis-5273	78	27	the	the	DET
fis-5273	78	28	meyer	meyer	PROPN
fis-5273	78	29	,	,	PUNCT
fis-5273	78	30	the	the	DET
fis-5273	78	31	haar	haar	NOUN
fis-5273	78	32	[	[	X
fis-5273	78	33	17	17	NUM
fis-5273	78	34	]	]	PUNCT
fis-5273	78	35	.	.	PUNCT
fis-5273	79	1	in	in	ADP
fis-5273	79	2	this	this	DET
fis-5273	79	3	work	work	NOUN
fis-5273	79	4	,	,	PUNCT
fis-5273	79	5	the	the	DET
fis-5273	79	6	defection	defection	NOUN
fis-5273	79	7	signal	signal	NOUN
fis-5273	79	8	of	of	ADP
fis-5273	79	9	the	the	DET
fis-5273	79	10	damaged	damage	VERB
fis-5273	79	11	slab	slab	NOUN
fis-5273	79	12	structure	structure	NOUN
fis-5273	79	13	is	be	AUX
fis-5273	79	14	analysed	analyse	VERB
fis-5273	79	15	with	with	ADP
fis-5273	79	16	dwt	dwt	PROPN
fis-5273	79	17	.	.	PUNCT
fis-5273	80	1	the	the	DET
fis-5273	80	2	input	input	NOUN
fis-5273	80	3	is	be	AUX
fis-5273	80	4	the	the	DET
fis-5273	80	5	two	two	NUM
fis-5273	80	6	-	-	PUNCT
fis-5273	80	7	dimensional	dimensional	ADJ
fis-5273	80	8	signal	signal	NOUN
fis-5273	80	9	,	,	PUNCT
fis-5273	80	10	and	and	CCONJ
fis-5273	80	11	the	the	DET
fis-5273	80	12	diagonal	diagonal	ADJ
fis-5273	80	13	direction	direction	NOUN
fis-5273	80	14	sub	sub	ADJ
fis-5273	80	15	-	-	ADJ
fis-5273	80	16	image	image	ADJ
fis-5273	80	17	output	output	NOUN
fis-5273	80	18	is	be	AUX
fis-5273	80	19	then	then	ADV
fis-5273	80	20	used	use	VERB
fis-5273	80	21	to	to	PART
fis-5273	80	22	detect	detect	VERB
fis-5273	80	23	damage	damage	NOUN
fis-5273	80	24	in	in	ADP
fis-5273	80	25	the	the	DET
fis-5273	80	26	slab	slab	NOUN
fis-5273	80	27	.	.	PUNCT
fis-5273	81	1	transfer	transfer	NOUN
fis-5273	81	2	learning	learning	NOUN
fis-5273	81	3	transfer	transfer	NOUN
fis-5273	81	4	learning	learning	NOUN
fis-5273	81	5	used	use	VERB
fis-5273	81	6	in	in	ADP
fis-5273	81	7	machine	machine	NOUN
fis-5273	81	8	learning	learning	NOUN
fis-5273	81	9	is	be	AUX
fis-5273	81	10	the	the	DET
fis-5273	81	11	reuse	reuse	NOUN
fis-5273	81	12	of	of	ADP
fis-5273	81	13	a	a	DET
fis-5273	81	14	pre	pre	ADJ
fis-5273	81	15	-	-	ADJ
fis-5273	81	16	train	train	ADJ
fis-5273	81	17	model	model	NOUN
fis-5273	81	18	on	on	ADP
fis-5273	81	19	a	a	DET
fis-5273	81	20	new	new	ADJ
fis-5273	81	21	problem	problem	NOUN
fis-5273	81	22	.	.	PUNCT
fis-5273	82	1	transfer	transfer	NOUN
fis-5273	82	2	learning	learning	NOUN
fis-5273	82	3	is	be	AUX
fis-5273	82	4	very	very	ADV
fis-5273	82	5	useful	useful	ADJ
fis-5273	82	6	when	when	SCONJ
fis-5273	82	7	it	it	PRON
fis-5273	82	8	can	can	AUX
fis-5273	82	9	complete	complete	VERB
fis-5273	82	10	a	a	DET
fis-5273	82	11	new	new	ADJ
fis-5273	82	12	task	task	NOUN
fis-5273	82	13	by	by	ADP
fis-5273	82	14	transferring	transfer	VERB
fis-5273	82	15	knowledge	knowledge	NOUN
fis-5273	82	16	from	from	ADP
fis-5273	82	17	a	a	DET
fis-5273	82	18	related	related	ADJ
fis-5273	82	19	task	task	NOUN
fis-5273	82	20	that	that	PRON
fis-5273	82	21	has	have	AUX
fis-5273	82	22	been	be	AUX
fis-5273	82	23	trained	train	VERB
fis-5273	82	24	.	.	PUNCT
fis-5273	83	1	therefore	therefore	ADV
fis-5273	83	2	,	,	PUNCT
fis-5273	83	3	instead	instead	ADV
fis-5273	83	4	of	of	ADP
fis-5273	83	5	training	training	NOUN
fis-5273	83	6	from	from	ADP
fis-5273	83	7	the	the	DET
fis-5273	83	8	start	start	NOUN
fis-5273	83	9	,	,	PUNCT
fis-5273	83	10	the	the	DET
fis-5273	83	11	trained	train	VERB
fis-5273	83	12	model	model	NOUN
fis-5273	83	13	has	have	AUX
fis-5273	83	14	learned	learn	VERB
fis-5273	83	15	with	with	ADP
fis-5273	83	16	many	many	ADJ
fis-5273	83	17	available	available	ADJ
fis-5273	83	18	labelled	label	VERB
fis-5273	83	19	training	training	NOUN
fis-5273	83	20	data	datum	NOUN
fis-5273	83	21	and	and	CCONJ
fis-5273	83	22	is	be	AUX
fis-5273	83	23	transferred	transfer	VERB
fis-5273	83	24	to	to	ADP
fis-5273	83	25	a	a	DET
fis-5273	83	26	new	new	ADJ
fis-5273	83	27	but	but	CCONJ
fis-5273	83	28	related	related	ADJ
fis-5273	83	29	task	task	NOUN
fis-5273	83	30	that	that	PRON
fis-5273	83	31	does	do	AUX
fis-5273	83	32	n’t	not	PART
fis-5273	83	33	have	have	VERB
fis-5273	83	34	much	much	ADJ
fis-5273	83	35	data	datum	NOUN
fis-5273	83	36	(	(	PUNCT
fis-5273	83	37	fig	fig	NOUN
fis-5273	83	38	.	.	PUNCT
fis-5273	83	39	1	1	NUM
fis-5273	83	40	)	)	PUNCT
fis-5273	83	41	.	.	PUNCT
fis-5273	84	1	in	in	ADP
fis-5273	84	2	transfer	transfer	NOUN
fis-5273	84	3	learning	learning	NOUN
fis-5273	84	4	,	,	PUNCT
fis-5273	84	5	only	only	ADV
fis-5273	84	6	the	the	DET
fis-5273	84	7	lateral	lateral	ADJ
fis-5273	84	8	layer	layer	NOUN
fis-5273	84	9	is	be	AUX
fis-5273	84	10	retrained	retrain	VERB
fis-5273	84	11	to	to	PART
fis-5273	84	12	classify	classify	VERB
fis-5273	84	13	the	the	DET
fis-5273	84	14	input	input	NOUN
fis-5273	84	15	to	to	ADP
fis-5273	84	16	the	the	DET
fis-5273	84	17	newly	newly	ADV
fis-5273	84	18	defined	define	VERB
fis-5273	84	19	task	task	NOUN
fis-5273	84	20	.	.	PUNCT
fis-5273	85	1	transfer	transfer	NOUN
fis-5273	85	2	learning	learning	NOUN
fis-5273	85	3	is	be	AUX
fis-5273	85	4	widely	widely	ADV
fis-5273	85	5	used	use	VERB
fis-5273	85	6	because	because	SCONJ
fis-5273	85	7	the	the	DET
fis-5273	85	8	network	network	NOUN
fis-5273	85	9	can	can	AUX
fis-5273	85	10	provide	provide	VERB
fis-5273	85	11	high	high	ADJ
fis-5273	85	12	accuracy	accuracy	NOUN
fis-5273	85	13	with	with	ADP
fis-5273	85	14	less	less	ADJ
fis-5273	85	15	data	datum	NOUN
fis-5273	85	16	.	.	PUNCT
fis-5273	86	1	as	as	ADV
fis-5273	86	2	much	much	ADV
fis-5273	86	3	as	as	ADP
fis-5273	86	4	possible	possible	ADJ
fis-5273	86	5	knowledge	knowledge	NOUN
fis-5273	86	6	from	from	ADP
fis-5273	86	7	the	the	DET
fis-5273	86	8	previous	previous	ADJ
fis-5273	86	9	task	task	NOUN
fis-5273	86	10	is	be	AUX
fis-5273	86	11	tried	try	VERB
fis-5273	86	12	to	to	PART
fis-5273	86	13	transfer	transfer	VERB
fis-5273	86	14	to	to	ADP
fis-5273	86	15	the	the	DET
fis-5273	86	16	new	new	ADJ
fis-5273	86	17	task	task	NOUN
fis-5273	86	18	within	within	ADP
fis-5273	86	19	various	various	ADJ
fis-5273	86	20	forms	form	NOUN
fis-5273	86	21	depending	depend	VERB
fis-5273	86	22	on	on	ADP
fis-5273	86	23	the	the	DET
fis-5273	86	24	problem	problem	NOUN
fis-5273	86	25	and	and	CCONJ
fis-5273	86	26	the	the	DET
fis-5273	86	27	data	datum	NOUN
fis-5273	86	28	.	.	PUNCT
fis-5273	87	1	the	the	DET
fis-5273	87	2	main	main	ADJ
fis-5273	87	3	advantages	advantage	NOUN
fis-5273	87	4	of	of	ADP
fis-5273	87	5	transfer	transfer	NOUN
fis-5273	87	6	learning	learning	NOUN
fis-5273	87	7	are	be	AUX
fis-5273	87	8	saving	save	VERB
fis-5273	87	9	processing	processing	NOUN
fis-5273	87	10	time	time	NOUN
fis-5273	87	11	,	,	PUNCT
fis-5273	87	12	not	not	PART
fis-5273	87	13	needing	need	VERB
fis-5273	87	14	a	a	DET
fis-5273	87	15	lot	lot	NOUN
fis-5273	87	16	of	of	ADP
fis-5273	87	17	data	datum	NOUN
fis-5273	87	18	,	,	PUNCT
fis-5273	87	19	and	and	CCONJ
fis-5273	87	20	in	in	ADP
fis-5273	87	21	most	most	ADJ
fis-5273	87	22	cases	case	NOUN
fis-5273	87	23	having	have	VERB
fis-5273	87	24	better	well	ADJ
fis-5273	87	25	performance	performance	NOUN
fis-5273	87	26	.	.	PUNCT
fis-5273	88	1	transfer	transfer	NOUN
fis-5273	88	2	learning	learn	VERB
fis-5273	88	3	techniques	technique	NOUN
fis-5273	88	4	can	can	AUX
fis-5273	88	5	be	be	AUX
fis-5273	88	6	categorized	categorize	VERB
fis-5273	88	7	into	into	ADP
fis-5273	88	8	three	three	NUM
fis-5273	88	9	sub	sub	NOUN
fis-5273	88	10	settings	setting	NOUN
fis-5273	88	11	:	:	PUNCT
fis-5273	88	12	inductive	inductive	ADJ
fis-5273	88	13	transfer	transfer	NOUN
fis-5273	88	14	learning	learning	NOUN
fis-5273	88	15	,	,	PUNCT
fis-5273	88	16	transductive	transductive	ADJ
fis-5273	88	17	transfer	transfer	NOUN
fis-5273	88	18	learning	learning	NOUN
fis-5273	88	19	,	,	PUNCT
fis-5273	88	20	and	and	CCONJ
fis-5273	88	21	unsupervised	unsupervised	ADJ
fis-5273	88	22	transfer	transfer	NOUN
fis-5273	88	23	learning	learn	VERB
fis-5273	88	24	[	[	X
fis-5273	88	25	19	19	NUM
fis-5273	88	26	]	]	PUNCT
fis-5273	88	27	.	.	PUNCT
fis-5273	89	1	in	in	ADP
fis-5273	89	2	inductive	inductive	ADJ
fis-5273	89	3	transfer	transfer	NOUN
fis-5273	89	4	learning	learning	NOUN
fis-5273	89	5	,	,	PUNCT
fis-5273	89	6	the	the	DET
fis-5273	89	7	learning	learn	VERB
fis-5273	89	8	task	task	NOUN
fis-5273	89	9	in	in	ADP
fis-5273	89	10	the	the	DET
fis-5273	89	11	target	target	NOUN
fis-5273	89	12	domain	domain	NOUN
fis-5273	89	13	is	be	AUX
fis-5273	89	14	different	different	ADJ
fis-5273	89	15	from	from	ADP
fis-5273	89	16	the	the	DET
fis-5273	89	17	target	target	NOUN
fis-5273	89	18	task	task	NOUN
fis-5273	89	19	in	in	ADP
fis-5273	89	20	the	the	DET
fis-5273	89	21	source	source	NOUN
fis-5273	89	22	domain	domain	NOUN
fis-5273	89	23	.	.	PUNCT
fis-5273	90	1	if	if	SCONJ
fis-5273	90	2	many	many	ADJ
fis-5273	90	3	labelled	label	VERB
fis-5273	90	4	data	datum	NOUN
fis-5273	90	5	in	in	ADP
fis-5273	90	6	the	the	DET
fis-5273	90	7	source	source	NOUN
fis-5273	90	8	domain	domain	NOUN
fis-5273	90	9	are	be	AUX
fis-5273	90	10	available	available	ADJ
fis-5273	90	11	,	,	PUNCT
fis-5273	90	12	inductive	inductive	ADJ
fis-5273	90	13	learning	learning	NOUN
fis-5273	90	14	is	be	AUX
fis-5273	90	15	like	like	ADP
fis-5273	90	16	a	a	DET
fis-5273	90	17	multitasking	multitaske	VERB
fis-5273	90	18	learning	learning	NOUN
fis-5273	90	19	setting	set	VERB
fis-5273	90	20	,	,	PUNCT
fis-5273	90	21	if	if	SCONJ
fis-5273	90	22	not	not	PART
fis-5273	90	23	is	be	AUX
fis-5273	90	24	like	like	ADP
fis-5273	90	25	self	self	NOUN
fis-5273	90	26	-	-	PUNCT
fis-5273	90	27	taught	teach	VERB
fis-5273	90	28	learning	learning	NOUN
fis-5273	90	29	.	.	PUNCT
fis-5273	91	1	in	in	ADP
fis-5273	91	2	the	the	DET
fis-5273	91	3	transductive	transductive	ADJ
fis-5273	91	4	transfer	transfer	NOUN
fis-5273	91	5	learning	learning	NOUN
fis-5273	91	6	setting	setting	NOUN
fis-5273	91	7	,	,	PUNCT
fis-5273	91	8	the	the	DET
fis-5273	91	9	learning	learning	NOUN
fis-5273	91	10	tasks	task	NOUN
fis-5273	91	11	are	be	AUX
fis-5273	91	12	the	the	DET
fis-5273	91	13	same	same	ADJ
fis-5273	91	14	in	in	ADP
fis-5273	91	15	both	both	DET
fis-5273	91	16	domains	domain	NOUN
fis-5273	91	17	,	,	PUNCT
fis-5273	91	18	while	while	SCONJ
fis-5273	91	19	the	the	DET
fis-5273	91	20	source	source	NOUN
fis-5273	91	21	and	and	CCONJ
fis-5273	91	22	target	target	NOUN
fis-5273	91	23	domains	domain	NOUN
fis-5273	91	24	are	be	AUX
fis-5273	91	25	different	different	ADJ
fis-5273	91	26	.	.	PUNCT
fis-5273	92	1	the	the	DET
fis-5273	92	2	unlabelled	unlabelled	ADJ
fis-5273	92	3	data	datum	NOUN
fis-5273	92	4	in	in	ADP
fis-5273	92	5	the	the	DET
fis-5273	92	6	target	target	NOUN
fis-5273	92	7	domains	domain	NOUN
fis-5273	92	8	will	will	AUX
fis-5273	92	9	be	be	AUX
fis-5273	92	10	available	available	ADJ
fis-5273	92	11	at	at	ADP
fis-5273	92	12	training	training	NOUN
fis-5273	92	13	time	time	NOUN
fis-5273	92	14	,	,	PUNCT
fis-5273	92	15	and	and	CCONJ
fis-5273	92	16	the	the	DET
fis-5273	92	17	new	new	ADJ
fis-5273	92	18	data	datum	NOUN
fis-5273	92	19	will	will	AUX
fis-5273	92	20	be	be	AUX
fis-5273	92	21	classified	classify	VERB
fis-5273	92	22	with	with	ADP
fis-5273	92	23	existing	exist	VERB
fis-5273	92	24	data	datum	NOUN
fis-5273	92	25	.	.	PUNCT
fis-5273	93	1	in	in	ADP
fis-5273	93	2	unsupervised	unsupervised	ADJ
fis-5273	93	3	learning	learning	NOUN
fis-5273	93	4	,	,	PUNCT
fis-5273	93	5	the	the	DET
fis-5273	93	6	data	datum	NOUN
fis-5273	93	7	in	in	ADP
fis-5273	93	8	the	the	DET
fis-5273	93	9	source	source	NOUN
fis-5273	93	10	and	and	CCONJ
fis-5273	93	11	target	target	NOUN
fis-5273	93	12	domain	domain	NOUN
fis-5273	93	13	is	be	AUX
fis-5273	93	14	not	not	PART
fis-5273	93	15	labelled	label	VERB
fis-5273	93	16	.	.	PUNCT
fis-5273	94	1	it	it	PRON
fis-5273	94	2	is	be	AUX
fis-5273	94	3	similar	similar	ADJ
fis-5273	94	4	to	to	PART
fis-5273	94	5	inductive	inductive	VERB
fis-5273	94	6	transfer	transfer	NOUN
fis-5273	94	7	learning	learning	NOUN
fis-5273	94	8	;	;	PUNCT
fis-5273	94	9	the	the	DET
fis-5273	94	10	target	target	NOUN
fis-5273	94	11	task	task	NOUN
fis-5273	94	12	is	be	AUX
fis-5273	94	13	different	different	ADJ
fis-5273	94	14	from	from	ADP
fis-5273	94	15	the	the	DET
fis-5273	94	16	source	source	NOUN
fis-5273	94	17	task	task	NOUN
fis-5273	94	18	.	.	PUNCT
fis-5273	95	1	transfer	transfer	NOUN
fis-5273	95	2	learning	learning	NOUN
fis-5273	95	3	applications	application	NOUN
fis-5273	95	4	are	be	AUX
fis-5273	95	5	varied	varied	ADJ
fis-5273	95	6	.	.	PUNCT
fis-5273	96	1	several	several	ADJ
fis-5273	96	2	data	datum	NOUN
fis-5273	96	3	sets	set	NOUN
fis-5273	96	4	for	for	ADP
fis-5273	96	5	transfer	transfer	NOUN
fis-5273	96	6	learning	learning	NOUN
fis-5273	96	7	have	have	AUX
fis-5273	96	8	been	be	AUX
fis-5273	96	9	developed	develop	VERB
fis-5273	96	10	such	such	ADJ
fis-5273	96	11	as	as	ADP
fis-5273	96	12	text	text	NOUN
fis-5273	96	13	,	,	PUNCT
fis-5273	96	14	email	email	NOUN
fis-5273	96	15	,	,	PUNCT
fis-5273	96	16	image	image	NOUN
fis-5273	96	17	,	,	PUNCT
fis-5273	96	18	and	and	CCONJ
fis-5273	96	19	wifi	wifi	NOUN
fis-5273	96	20	.	.	PUNCT
fis-5273	97	1	there	there	PRON
fis-5273	97	2	is	be	VERB
fis-5273	97	3	some	some	DET
fis-5273	97	4	pre	pre	ADJ
fis-5273	97	5	-	-	ADJ
fis-5273	97	6	trained	train	VERB
fis-5273	97	7	network	network	NOUN
fis-5273	97	8	availability	availability	NOUN
fis-5273	97	9	for	for	ADP
fis-5273	97	10	example	example	NOUN
fis-5273	97	11	mobilenetv2	mobilenetv2	PROPN
fis-5273	97	12	,	,	PUNCT
fis-5273	97	13	inception	inception	PROPN
fis-5273	97	14	-	-	PUNCT
fis-5273	97	15	v3	v3	NOUN
fis-5273	97	16	model	model	NOUN
fis-5273	97	17	which	which	PRON
fis-5273	97	18	were	be	AUX
fis-5273	97	19	trained	train	VERB
fis-5273	97	20	for	for	ADP
fis-5273	97	21	the	the	DET
fis-5273	97	22	imagenet	imagenet	NOUN
fis-5273	97	23	.	.	PUNCT
fis-5273	98	1	the	the	DET
fis-5273	98	2	network	network	NOUN
fis-5273	98	3	after	after	ADP
fis-5273	98	4	training	training	NOUN
fis-5273	98	5	can	can	AUX
fis-5273	98	6	be	be	AUX
fis-5273	98	7	saved	save	VERB
fis-5273	98	8	and	and	CCONJ
fis-5273	98	9	used	use	VERB
fis-5273	98	10	as	as	ADP
fis-5273	98	11	a	a	DET
fis-5273	98	12	pre	pre	NOUN
fis-5273	98	13	-	-	NOUN
fis-5273	98	14	train	train	NOUN
fis-5273	98	15	for	for	ADP
fis-5273	98	16	new	new	ADJ
fis-5273	98	17	tasks	task	NOUN
fis-5273	98	18	.	.	PUNCT
fis-5273	99	1	in	in	ADP
fis-5273	99	2	this	this	DET
fis-5273	99	3	paper	paper	NOUN
fis-5273	99	4	,	,	PUNCT
fis-5273	99	5	this	this	DET
fis-5273	99	6	network	network	NOUN
fis-5273	99	7	will	will	AUX
fis-5273	99	8	be	be	AUX
fis-5273	99	9	retrained	retrain	VERB
fis-5273	99	10	and	and	CCONJ
fis-5273	99	11	applied	apply	VERB
fis-5273	99	12	to	to	PART
fis-5273	99	13	detect	detect	VERB
fis-5273	99	14	damage	damage	NOUN
fis-5273	99	15	in	in	ADP
fis-5273	99	16	slab	slab	NOUN
fis-5273	99	17	structures	structure	NOUN
fis-5273	99	18	.	.	PUNCT
fis-5273	100	1	figure	figure	VERB
fis-5273	100	2	1	1	NUM
fis-5273	100	3	:	:	PUNCT
fis-5273	100	4	the	the	DET
fis-5273	100	5	transfer	transfer	NOUN
fis-5273	100	6	learning	learn	VERB
fis-5273	100	7	setup	setup	NOUN
fis-5273	100	8	convolutional	convolutional	ADJ
fis-5273	100	9	neural	neural	ADJ
fis-5273	100	10	network	network	NOUN
fis-5273	100	11	cnn	cnn	PROPN
fis-5273	100	12	is	be	AUX
fis-5273	100	13	a	a	DET
fis-5273	100	14	deep	deep	ADJ
fis-5273	100	15	neural	neural	ADJ
fis-5273	100	16	network	network	NOUN
fis-5273	100	17	used	use	VERB
fis-5273	100	18	to	to	PART
fis-5273	100	19	process	process	VERB
fis-5273	100	20	images	image	NOUN
fis-5273	100	21	,	,	PUNCT
fis-5273	100	22	they	they	PRON
fis-5273	100	23	can	can	AUX
fis-5273	100	24	also	also	ADV
fis-5273	100	25	be	be	AUX
fis-5273	100	26	adapted	adapt	VERB
fis-5273	100	27	to	to	PART
fis-5273	100	28	work	work	VERB
fis-5273	100	29	with	with	ADP
fis-5273	100	30	audio	audio	ADJ
fis-5273	100	31	and	and	CCONJ
fis-5273	100	32	other	other	ADJ
fis-5273	100	33	signal	signal	NOUN
fis-5273	100	34	data	datum	NOUN
fis-5273	100	35	.	.	PUNCT
fis-5273	101	1	cnns	cnns	PROPN
fis-5273	101	2	use	use	VERB
fis-5273	101	3	several	several	ADJ
fis-5273	101	4	layers	layer	NOUN
fis-5273	101	5	to	to	PART
fis-5273	101	6	detect	detect	VERB
fis-5273	101	7	different	different	ADJ
fis-5273	101	8	features	feature	NOUN
fis-5273	101	9	of	of	ADP
fis-5273	101	10	an	an	DET
fis-5273	101	11	input	input	NOUN
fis-5273	101	12	image	image	NOUN
fis-5273	101	13	.	.	PUNCT
fis-5273	102	1	the	the	DET
fis-5273	102	2	number	number	NOUN
fis-5273	102	3	of	of	ADP
fis-5273	102	4	layers	layer	NOUN
fis-5273	102	5	depends	depend	VERB
fis-5273	102	6	on	on	ADP
fis-5273	102	7	the	the	DET
fis-5273	102	8	complexity	complexity	NOUN
fis-5273	102	9	of	of	ADP
fis-5273	102	10	the	the	DET
fis-5273	102	11	task	task	NOUN
fis-5273	102	12	.	.	PUNCT
fis-5273	103	1	typically	typically	ADV
fis-5273	103	2	,	,	PUNCT
fis-5273	103	3	cnn	cnn	PROPN
fis-5273	103	4	consists	consist	VERB
fis-5273	103	5	of	of	ADP
fis-5273	103	6	several	several	ADJ
fis-5273	103	7	layers	layer	NOUN
fis-5273	103	8	and	and	CCONJ
fis-5273	103	9	can	can	AUX
fis-5273	103	10	be	be	AUX
fis-5273	103	11	categorized	categorize	VERB
fis-5273	103	12	into	into	ADP
fis-5273	103	13	three	three	NUM
fis-5273	103	14	groups	group	NOUN
fis-5273	103	15	:	:	PUNCT
fis-5273	103	16	convolution	convolution	NOUN
fis-5273	103	17	layer	layer	NOUN
fis-5273	103	18	,	,	PUNCT
fis-5273	103	19	pooling	pool	VERB
fis-5273	103	20	layers	layer	NOUN
fis-5273	103	21	,	,	PUNCT
fis-5273	103	22	and	and	CCONJ
fis-5273	103	23	fully	fully	ADV
fis-5273	103	24	connected	connected	ADJ
fis-5273	103	25	layers	layer	NOUN
fis-5273	103	26	.	.	PUNCT
fis-5273	104	1	cnn	cnn	PROPN
fis-5273	104	2	plays	play	VERB
fis-5273	104	3	a	a	DET
fis-5273	104	4	role	role	NOUN
fis-5273	104	5	as	as	ADP
fis-5273	104	6	a	a	DET
fis-5273	104	7	function	function	NOUN
fis-5273	104	8	f	f	X
fis-5273	104	9	in	in	ADP
fis-5273	104	10	the	the	DET
fis-5273	104	11	equation	equation	NOUN
fis-5273	104	12	y	y	PROPN
fis-5273	104	13	=	=	SYM
fis-5273	104	14	f(x	f(x	PROPN
fis-5273	104	15	)	)	PUNCT
fis-5273	104	16	,	,	PUNCT
fis-5273	104	17	where	where	SCONJ
fis-5273	104	18	𝑥	𝑥	PROPN
fis-5273	104	19	is	be	AUX
fis-5273	104	20	the	the	DET
fis-5273	104	21	input	input	NOUN
fis-5273	104	22	data	datum	NOUN
fis-5273	104	23	set	set	VERB
fis-5273	104	24	and	and	CCONJ
fis-5273	104	25	𝑦	𝑦	NOUN
fis-5273	104	26	is	be	AUX
fis-5273	104	27	the	the	DET
fis-5273	104	28	output	output	NOUN
fis-5273	104	29	data	datum	NOUN
fis-5273	104	30	set	set	VERB
fis-5273	104	31	.	.	PUNCT
fis-5273	105	1	the	the	DET
fis-5273	105	2	convolution	convolution	NOUN
fis-5273	105	3	layer	layer	NOUN
fis-5273	105	4	is	be	AUX
fis-5273	105	5	the	the	DET
fis-5273	105	6	layer	layer	NOUN
fis-5273	105	7	in	in	ADP
fis-5273	105	8	which	which	PRON
fis-5273	105	9	the	the	DET
fis-5273	105	10	majority	majority	NOUN
fis-5273	105	11	of	of	ADP
fis-5273	105	12	computations	computation	NOUN
fis-5273	105	13	occur	occur	VERB
fis-5273	105	14	.	.	PUNCT
fis-5273	106	1	a	a	DET
fis-5273	106	2	small	small	ADJ
fis-5273	106	3	matrix	matrix	NOUN
fis-5273	106	4	of	of	ADP
fis-5273	106	5	weights	weight	NOUN
fis-5273	106	6	known	know	VERB
fis-5273	106	7	as	as	ADP
fis-5273	106	8	a	a	DET
fis-5273	106	9	kernel	kernel	NOUN
fis-5273	106	10	is	be	AUX
fis-5273	106	11	used	use	VERB
fis-5273	106	12	to	to	PART
fis-5273	106	13	reduce	reduce	VERB
fis-5273	106	14	the	the	DET
fis-5273	106	15	number	number	NOUN
fis-5273	106	16	of	of	ADP
fis-5273	106	17	computations	computation	NOUN
fis-5273	106	18	while	while	SCONJ
fis-5273	106	19	still	still	ADV
fis-5273	106	20	finding	find	VERB
fis-5273	106	21	out	out	ADP
fis-5273	106	22	the	the	DET
fis-5273	106	23	presence	presence	NOUN
fis-5273	106	24	of	of	ADP
fis-5273	106	25	specific	specific	ADJ
fis-5273	106	26	features	feature	NOUN
fis-5273	106	27	in	in	ADP
fis-5273	106	28	the	the	DET
fis-5273	106	29	input	input	NOUN
fis-5273	106	30	image	image	NOUN
fis-5273	106	31	.	.	PUNCT
fis-5273	107	1	the	the	DET
fis-5273	107	2	pooling	pool	VERB
fis-5273	107	3	layer	layer	NOUN
fis-5273	107	4	follows	follow	VERB
fis-5273	107	5	the	the	DET
fis-5273	107	6	convolutional	convolutional	ADJ
fis-5273	107	7	layer	layer	NOUN
fis-5273	107	8	to	to	PART
fis-5273	107	9	reduce	reduce	VERB
fis-5273	107	10	the	the	DET
fis-5273	107	11	dimensionality	dimensionality	NOUN
fis-5273	107	12	,	,	PUNCT
fis-5273	107	13	keeping	keep	VERB
fis-5273	107	14	the	the	DET
fis-5273	107	15	main	main	ADJ
fis-5273	107	16	feature	feature	NOUN
fis-5273	107	17	.	.	PUNCT
fis-5273	108	1	there	there	PRON
fis-5273	108	2	are	be	VERB
fis-5273	108	3	two	two	NUM
fis-5273	108	4	kinds	kind	NOUN
fis-5273	108	5	of	of	ADP
fis-5273	108	6	pooling	pool	VERB
fis-5273	108	7	layers	layer	NOUN
fis-5273	108	8	:	:	PUNCT
fis-5273	108	9	average	average	ADJ
fis-5273	108	10	and	and	CCONJ
fis-5273	108	11	max	max	PROPN
fis-5273	108	12	pooling	pooling	NOUN
fis-5273	108	13	.	.	PUNCT
fis-5273	109	1	in	in	ADP
fis-5273	109	2	some	some	DET
fis-5273	109	3	networks	network	NOUN
fis-5273	109	4	,	,	PUNCT
fis-5273	109	5	the	the	DET
fis-5273	109	6	dropping	drop	VERB
fis-5273	109	7	layer	layer	NOUN
fis-5273	109	8	is	be	AUX
fis-5273	109	9	added	add	VERB
fis-5273	109	10	to	to	PART
fis-5273	109	11	protect	protect	VERB
fis-5273	109	12	from	from	ADP
fis-5273	109	13	overfitting	overfitte	VERB
fis-5273	109	14	.	.	PUNCT
fis-5273	110	1	some	some	PRON
fis-5273	110	2	of	of	ADP
fis-5273	110	3	the	the	DET
fis-5273	110	4	trained	train	VERB
fis-5273	110	5	weights	weight	NOUN
fis-5273	110	6	will	will	AUX
fis-5273	110	7	be	be	AUX
fis-5273	110	8	dropped	drop	VERB
fis-5273	110	9	and	and	CCONJ
fis-5273	110	10	set	set	VERB
fis-5273	110	11	to	to	ADP
fis-5273	110	12	zero	zero	NUM
fis-5273	110	13	and	and	CCONJ
fis-5273	110	14	be	be	AUX
fis-5273	110	15	trained	train	VERB
fis-5273	110	16	from	from	ADP
fis-5273	110	17	the	the	DET
fis-5273	110	18	beginning	beginning	NOUN
fis-5273	110	19	of	of	ADP
fis-5273	110	20	the	the	DET
fis-5273	110	21	next	next	ADJ
fis-5273	110	22	process	process	NOUN
fis-5273	110	23	.	.	PUNCT
fis-5273	111	1	the	the	DET
fis-5273	111	2	fully	fully	ADV
fis-5273	111	3	connected	connected	ADJ
fis-5273	111	4	layer	layer	NOUN
fis-5273	111	5	is	be	AUX
fis-5273	111	6	responsible	responsible	ADJ
fis-5273	111	7	for	for	ADP
fis-5273	111	8	classifying	classify	VERB
fis-5273	111	9	images	image	NOUN
fis-5273	111	10	based	base	VERB
fis-5273	111	11	on	on	ADP
fis-5273	111	12	the	the	DET
fis-5273	111	13	features	feature	NOUN
fis-5273	111	14	extracted	extract	VERB
fis-5273	111	15	in	in	ADP
fis-5273	111	16	the	the	DET
fis-5273	111	17	previous	previous	ADJ
fis-5273	111	18	layers	layer	NOUN
fis-5273	111	19	.	.	PUNCT
fis-5273	112	1	cnn	cnn	PROPN
fis-5273	112	2	makes	make	VERB
fis-5273	112	3	a	a	DET
fis-5273	112	4	final	final	ADJ
fis-5273	112	5	classification	classification	NOUN
fis-5273	112	6	decision	decision	NOUN
fis-5273	112	7	based	base	VERB
fis-5273	112	8	on	on	ADP
fis-5273	112	9	each	each	DET
fis-5273	112	10	input	input	NOUN
fis-5273	112	11	from	from	ADP
fis-5273	112	12	the	the	DET
fis-5273	112	13	previous	previous	ADJ
fis-5273	112	14	layers	layer	NOUN
fis-5273	112	15	connected	connect	VERB
fis-5273	112	16	to	to	ADP
fis-5273	112	17	the	the	DET
fis-5273	112	18	fully	fully	ADV
fis-5273	112	19	connected	connected	ADJ
fis-5273	112	20	layers	layer	NOUN
fis-5273	112	21	.	.	PUNCT
fis-5273	113	1	the	the	DET
fis-5273	113	2	fully	fully	ADV
fis-5273	113	3	connected	connect	VERB
fis-5273	113	4	layer	layer	NOUN
fis-5273	113	5	is	be	AUX
fis-5273	113	6	the	the	DET
fis-5273	113	7	last	last	ADJ
fis-5273	113	8	layer	layer	NOUN
fis-5273	113	9	before	before	ADP
fis-5273	113	10	the	the	DET
fis-5273	113	11	output	output	NOUN
fis-5273	113	12	layer	layer	NOUN
fis-5273	113	13	.	.	PUNCT
fis-5273	114	1	d.	d.	PROPN
fis-5273	114	2	h.	h.	PROPN
fis-5273	114	3	nguyen	nguyen	PROPN
fis-5273	114	4	et	et	PROPN
fis-5273	114	5	alii	alii	PROPN
fis-5273	114	6	,	,	PUNCT
fis-5273	114	7	fracture	fracture	ADJ
fis-5273	114	8	and	and	CCONJ
fis-5273	114	9	structural	structural	ADJ
fis-5273	114	10	integrity	integrity	NOUN
fis-5273	114	11	,	,	PUNCT
fis-5273	114	12	72	72	NUM
fis-5273	114	13	(	(	PUNCT
fis-5273	114	14	2025	2025	NUM
fis-5273	114	15	)	)	PUNCT
fis-5273	114	16	121	121	NUM
fis-5273	114	17	-	-	SYM
fis-5273	114	18	136	136	NUM
fis-5273	114	19	;	;	PUNCT
fis-5273	114	20	doi	doi	NOUN
fis-5273	114	21	:	:	PUNCT
fis-5273	114	22	10.3221	10.3221	NUM
fis-5273	114	23	/	/	SYM
fis-5273	114	24	igf	igf	PROPN
fis-5273	114	25	-	-	ADJ
fis-5273	114	26	esis.72.09	esis.72.09	PROPN
fis-5273	114	27	125	125	NUM
fis-5273	114	28	cnn	cnn	NOUN
fis-5273	114	29	is	be	AUX
fis-5273	114	30	very	very	ADV
fis-5273	114	31	useful	useful	ADJ
fis-5273	114	32	for	for	ADP
fis-5273	114	33	computer	computer	NOUN
fis-5273	114	34	vision	vision	NOUN
fis-5273	114	35	tasks	task	NOUN
fis-5273	114	36	such	such	ADJ
fis-5273	114	37	as	as	ADP
fis-5273	114	38	image	image	NOUN
fis-5273	114	39	recognition	recognition	NOUN
fis-5273	114	40	and	and	CCONJ
fis-5273	114	41	classification	classification	NOUN
fis-5273	114	42	.	.	PUNCT
fis-5273	115	1	transfer	transfer	NOUN
fis-5273	115	2	learning	learning	NOUN
fis-5273	115	3	applications	application	NOUN
fis-5273	115	4	for	for	ADP
fis-5273	115	5	cnn	cnn	PROPN
fis-5273	115	6	are	be	AUX
fis-5273	115	7	very	very	ADV
fis-5273	115	8	popular	popular	ADJ
fis-5273	115	9	.	.	PUNCT
fis-5273	116	1	the	the	DET
fis-5273	116	2	pre	pre	ADJ
fis-5273	116	3	-	-	ADJ
fis-5273	116	4	trained	train	VERB
fis-5273	116	5	model	model	NOUN
fis-5273	116	6	is	be	AUX
fis-5273	116	7	fine	fine	ADV
fis-5273	116	8	-	-	PUNCT
fis-5273	116	9	tuned	tune	VERB
fis-5273	116	10	for	for	ADP
fis-5273	116	11	new	new	ADJ
fis-5273	116	12	tasks	task	NOUN
fis-5273	116	13	,	,	PUNCT
fis-5273	116	14	benefits	benefit	NOUN
fis-5273	116	15	when	when	SCONJ
fis-5273	116	16	the	the	DET
fis-5273	116	17	number	number	NOUN
fis-5273	116	18	of	of	ADP
fis-5273	116	19	data	datum	NOUN
fis-5273	116	20	is	be	AUX
fis-5273	116	21	limited	limit	VERB
fis-5273	116	22	,	,	PUNCT
fis-5273	116	23	and	and	CCONJ
fis-5273	116	24	helps	help	VERB
fis-5273	116	25	to	to	PART
fis-5273	116	26	minimize	minimize	VERB
fis-5273	116	27	computational	computational	ADJ
fis-5273	116	28	costs	cost	NOUN
fis-5273	116	29	.	.	PUNCT
fis-5273	117	1	mobilenetv2	mobilenetv2	PROPN
fis-5273	117	2	network	network	NOUN
fis-5273	117	3	mobilenetv2	mobilenetv2	PROPN
fis-5273	117	4	network	network	NOUN
fis-5273	117	5	is	be	AUX
fis-5273	117	6	a	a	DET
fis-5273	117	7	convolutional	convolutional	ADJ
fis-5273	117	8	neural	neural	ADJ
fis-5273	117	9	network	network	NOUN
fis-5273	117	10	developed	develop	VERB
fis-5273	117	11	for	for	ADP
fis-5273	117	12	use	use	NOUN
fis-5273	117	13	with	with	ADP
fis-5273	117	14	mobile	mobile	ADJ
fis-5273	117	15	devices	device	NOUN
fis-5273	117	16	or	or	CCONJ
fis-5273	117	17	low	low	ADJ
fis-5273	117	18	-	-	PUNCT
fis-5273	117	19	cost	cost	NOUN
fis-5273	117	20	devices	device	NOUN
fis-5273	117	21	.	.	PUNCT
fis-5273	118	1	the	the	DET
fis-5273	118	2	mobilenetv2	mobilenetv2	PROPN
fis-5273	118	3	is	be	AUX
fis-5273	118	4	pre	pre	ADJ
fis-5273	118	5	-	-	ADJ
fis-5273	118	6	trained	train	VERB
fis-5273	118	7	model	model	NOUN
fis-5273	118	8	based	base	VERB
fis-5273	118	9	on	on	ADP
fis-5273	118	10	its	its	PRON
fis-5273	118	11	previous	previous	ADJ
fis-5273	118	12	version	version	NOUN
fis-5273	118	13	mobilenetv1	mobilenetv1	PROPN
fis-5273	118	14	.	.	PUNCT
fis-5273	119	1	depthwise	depthwise	PROPN
fis-5273	119	2	separable	separable	ADJ
fis-5273	119	3	convolutions	convolution	NOUN
fis-5273	119	4	are	be	AUX
fis-5273	119	5	used	use	VERB
fis-5273	119	6	in	in	ADP
fis-5273	119	7	both	both	DET
fis-5273	119	8	mobilenetv2	mobilenetv2	PROPN
fis-5273	119	9	and	and	CCONJ
fis-5273	119	10	mobilenetv1	mobilenetv1	PROPN
fis-5273	119	11	.	.	PUNCT
fis-5273	120	1	depthwise	depthwise	PROPN
fis-5273	120	2	separable	separable	ADJ
fis-5273	120	3	convolutions	convolution	NOUN
fis-5273	120	4	used	use	VERB
fis-5273	120	5	for	for	ADP
fis-5273	120	6	image	image	NOUN
fis-5273	120	7	classification	classification	NOUN
fis-5273	120	8	were	be	AUX
fis-5273	120	9	first	first	ADV
fis-5273	120	10	introduced	introduce	VERB
fis-5273	120	11	by	by	ADP
fis-5273	120	12	sifre	sifre	PROPN
fis-5273	120	13	[	[	X
fis-5273	120	14	22	22	NUM
fis-5273	120	15	]	]	PUNCT
fis-5273	120	16	.	.	PUNCT
fis-5273	121	1	the	the	DET
fis-5273	121	2	computation	computation	NOUN
fis-5273	121	3	of	of	ADP
fis-5273	121	4	depthwise	depthwise	NOUN
fis-5273	121	5	separable	separable	ADJ
fis-5273	121	6	convolution	convolution	NOUN
fis-5273	121	7	has	have	VERB
fis-5273	121	8	two	two	NUM
fis-5273	121	9	layers	layer	NOUN
fis-5273	121	10	:	:	PUNCT
fis-5273	121	11	depthwise	depthwise	NOUN
fis-5273	121	12	convolution	convolution	NOUN
fis-5273	121	13	which	which	PRON
fis-5273	121	14	refers	refer	VERB
fis-5273	121	15	to	to	ADP
fis-5273	121	16	convolution	convolution	NOUN
fis-5273	121	17	that	that	PRON
fis-5273	121	18	does	do	AUX
fis-5273	121	19	not	not	PART
fis-5273	121	20	cross	cross	VERB
fis-5273	121	21	channels	channel	NOUN
fis-5273	121	22	and	and	CCONJ
fis-5273	121	23	reduces	reduce	VERB
fis-5273	121	24	cost	cost	NOUN
fis-5273	121	25	compared	compare	VERB
fis-5273	121	26	which	which	DET
fis-5273	121	27	traditional	traditional	ADJ
fis-5273	121	28	convolution	convolution	NOUN
fis-5273	121	29	;	;	PUNCT
fis-5273	121	30	and	and	CCONJ
fis-5273	121	31	pointwise	pointwise	VERB
fis-5273	121	32	convolution	convolution	NOUN
fis-5273	121	33	for	for	ADP
fis-5273	121	34	feature	feature	NOUN
fis-5273	121	35	merging	merging	NOUN
fis-5273	121	36	and	and	CCONJ
fis-5273	121	37	dimension	dimension	NOUN
fis-5273	121	38	alternating	alternating	NOUN
fis-5273	121	39	.	.	PUNCT
fis-5273	122	1	depthwise	depthwise	NOUN
fis-5273	122	2	separable	separable	ADJ
fis-5273	122	3	convolution	convolution	NOUN
fis-5273	122	4	is	be	AUX
fis-5273	122	5	a	a	DET
fis-5273	122	6	set	set	NOUN
fis-5273	122	7	of	of	ADP
fis-5273	122	8	convolutions	convolution	NOUN
fis-5273	122	9	obtained	obtain	VERB
fis-5273	122	10	by	by	ADP
fis-5273	122	11	combining	combine	VERB
fis-5273	122	12	a	a	DET
fis-5273	122	13	depthwise	depthwise	NOUN
fis-5273	122	14	convolution	convolution	NOUN
fis-5273	122	15	and	and	CCONJ
fis-5273	122	16	a	a	DET
fis-5273	122	17	pointwise	pointwise	NOUN
fis-5273	122	18	convolution	convolution	NOUN
fis-5273	122	19	;	;	PUNCT
fis-5273	122	20	two	two	NUM
fis-5273	122	21	hyper	hyper	NOUN
fis-5273	122	22	-	-	NOUN
fis-5273	122	23	parameters	parameter	NOUN
fis-5273	122	24	are	be	AUX
fis-5273	122	25	the	the	DET
fis-5273	122	26	width	width	ADJ
fis-5273	122	27	multiplier	multipli	ADJ
fis-5273	122	28	and	and	CCONJ
fis-5273	122	29	resolution	resolution	NOUN
fis-5273	122	30	multiplier	multiplier	ADV
fis-5273	122	31	.	.	PUNCT
fis-5273	123	1	the	the	DET
fis-5273	123	2	computation	computation	NOUN
fis-5273	123	3	in	in	ADP
fis-5273	123	4	mobilenetv1	mobilenetv1	NOUN
fis-5273	123	5	using	use	VERB
fis-5273	123	6	depthwise	depthwise	NOUN
fis-5273	123	7	separable	separable	ADJ
fis-5273	123	8	convolution	convolution	NOUN
fis-5273	123	9	can	can	AUX
fis-5273	123	10	be	be	AUX
fis-5273	123	11	almost	almost	ADV
fis-5273	123	12	8	8	NUM
fis-5273	123	13	or	or	CCONJ
fis-5273	123	14	9	9	NUM
fis-5273	123	15	times	time	NOUN
fis-5273	123	16	smaller	small	ADJ
fis-5273	123	17	than	than	ADP
fis-5273	123	18	traditional	traditional	ADJ
fis-5273	123	19	cnn	cnn	PROPN
fis-5273	123	20	.	.	PUNCT
fis-5273	124	1	the	the	DET
fis-5273	124	2	mobilenetv1	mobilenetv1	PROPN
fis-5273	124	3	has	have	AUX
fis-5273	124	4	promising	promise	VERB
fis-5273	124	5	performance	performance	NOUN
fis-5273	124	6	however	however	ADV
fis-5273	124	7	it	it	PRON
fis-5273	124	8	still	still	ADV
fis-5273	124	9	has	have	VERB
fis-5273	124	10	some	some	DET
fis-5273	124	11	problems	problem	NOUN
fis-5273	124	12	such	such	ADJ
fis-5273	124	13	as	as	ADP
fis-5273	124	14	the	the	DET
fis-5273	124	15	vanishing	vanish	VERB
fis-5273	124	16	gradient	gradient	NOUN
fis-5273	124	17	problem	problem	NOUN
fis-5273	124	18	.	.	PUNCT
fis-5273	125	1	mobilenet	mobilenet	PROPN
fis-5273	125	2	v2	v2	PROPN
fis-5273	125	3	is	be	AUX
fis-5273	125	4	improved	improve	VERB
fis-5273	125	5	to	to	PART
fis-5273	125	6	solve	solve	VERB
fis-5273	125	7	this	this	DET
fis-5273	125	8	problem	problem	NOUN
fis-5273	125	9	.	.	PUNCT
fis-5273	126	1	besides	besides	SCONJ
fis-5273	126	2	depthwise	depthwise	VERB
fis-5273	126	3	separable	separable	ADJ
fis-5273	126	4	convolutions	convolution	NOUN
fis-5273	126	5	,	,	PUNCT
fis-5273	126	6	mobilenetv2	mobilenetv2	PROPN
fis-5273	126	7	introduces	introduce	VERB
fis-5273	126	8	linear	linear	ADJ
fis-5273	126	9	bottlenecks	bottleneck	NOUN
fis-5273	126	10	and	and	CCONJ
fis-5273	126	11	inverted	invert	VERB
fis-5273	126	12	residual	residual	ADJ
fis-5273	126	13	structures	structure	NOUN
fis-5273	126	14	to	to	PART
fis-5273	126	15	perverse	perverse	VERB
fis-5273	126	16	the	the	DET
fis-5273	126	17	information	information	NOUN
fis-5273	126	18	.	.	PUNCT
fis-5273	127	1	linear	linear	ADJ
fis-5273	127	2	bottleneck	bottleneck	NOUN
fis-5273	127	3	layers	layer	NOUN
fis-5273	127	4	were	be	AUX
fis-5273	127	5	inserted	insert	VERB
fis-5273	127	6	into	into	ADP
fis-5273	127	7	the	the	DET
fis-5273	127	8	convolutional	convolutional	ADJ
fis-5273	127	9	blocks	block	NOUN
fis-5273	127	10	assuming	assume	VERB
fis-5273	127	11	the	the	DET
fis-5273	127	12	manifold	manifold	NOUN
fis-5273	127	13	of	of	ADP
fis-5273	127	14	interest	interest	NOUN
fis-5273	127	15	i	i	PRON
fis-5273	127	16	slow	slow	ADV
fis-5273	127	17	-	-	PUNCT
fis-5273	127	18	dimensional	dimensional	ADJ
fis-5273	127	19	.	.	PUNCT
fis-5273	128	1	when	when	SCONJ
fis-5273	128	2	an	an	DET
fis-5273	128	3	activation	activation	NOUN
fis-5273	128	4	function	function	NOUN
fis-5273	128	5	(	(	PUNCT
fis-5273	128	6	relu	relu	NOUN
fis-5273	128	7	)	)	PUNCT
fis-5273	128	8	collapses	collapse	VERB
fis-5273	128	9	the	the	DET
fis-5273	128	10	channel	channel	NOUN
fis-5273	128	11	,	,	PUNCT
fis-5273	128	12	the	the	DET
fis-5273	128	13	information	information	NOUN
fis-5273	128	14	in	in	ADP
fis-5273	128	15	that	that	DET
fis-5273	128	16	channel	channel	NOUN
fis-5273	128	17	will	will	AUX
fis-5273	128	18	be	be	AUX
fis-5273	128	19	lost	lose	VERB
fis-5273	128	20	.	.	PUNCT
fis-5273	129	1	using	use	VERB
fis-5273	129	2	linear	linear	ADJ
fis-5273	129	3	layers	layer	NOUN
fis-5273	129	4	prevents	prevent	VERB
fis-5273	129	5	non	non	NOUN
fis-5273	129	6	-	-	NOUN
fis-5273	129	7	linearities	linearity	NOUN
fis-5273	129	8	from	from	ADP
fis-5273	129	9	destroying	destroy	VERB
fis-5273	129	10	too	too	ADV
fis-5273	129	11	much	much	ADJ
fis-5273	129	12	information	information	NOUN
fis-5273	129	13	.	.	PUNCT
fis-5273	130	1	the	the	DET
fis-5273	130	2	bottlenecks	bottleneck	NOUN
fis-5273	130	3	layer	layer	NOUN
fis-5273	130	4	contains	contain	VERB
fis-5273	130	5	all	all	DET
fis-5273	130	6	the	the	DET
fis-5273	130	7	necessary	necessary	ADJ
fis-5273	130	8	information	information	NOUN
fis-5273	130	9	;	;	PUNCT
fis-5273	130	10	therefore	therefore	ADV
fis-5273	130	11	,	,	PUNCT
fis-5273	130	12	shortcuts	shortcut	NOUN
fis-5273	130	13	are	be	AUX
fis-5273	130	14	added	add	VERB
fis-5273	130	15	between	between	ADP
fis-5273	130	16	different	different	ADJ
fis-5273	130	17	bottlenecks	bottleneck	NOUN
fis-5273	130	18	to	to	PART
fis-5273	130	19	increase	increase	VERB
fis-5273	130	20	the	the	DET
fis-5273	130	21	gradient	gradient	ADJ
fis-5273	130	22	propagate	propagate	NOUN
fis-5273	130	23	ability	ability	NOUN
fis-5273	130	24	.	.	PUNCT
fis-5273	131	1	compared	compare	VERB
fis-5273	131	2	to	to	ADP
fis-5273	131	3	the	the	DET
fis-5273	131	4	traditional	traditional	ADJ
fis-5273	131	5	structure	structure	NOUN
fis-5273	131	6	,	,	PUNCT
fis-5273	131	7	an	an	DET
fis-5273	131	8	inverted	inverted	ADJ
fis-5273	131	9	design	design	NOUN
fis-5273	131	10	is	be	AUX
fis-5273	131	11	considerably	considerably	ADV
fis-5273	131	12	more	more	ADJ
fis-5273	131	13	memory	memory	NOUN
fis-5273	131	14	efficient	efficient	ADJ
fis-5273	131	15	.	.	PUNCT
fis-5273	132	1	the	the	DET
fis-5273	132	2	mobilenetv2	mobilenetv2	PROPN
fis-5273	132	3	architecture	architecture	NOUN
fis-5273	132	4	has	have	VERB
fis-5273	132	5	32	32	NUM
fis-5273	132	6	filter	filter	NOUN
fis-5273	132	7	convolution	convolution	NOUN
fis-5273	132	8	layers	layer	NOUN
fis-5273	132	9	and	and	CCONJ
fis-5273	132	10	19	19	NUM
fis-5273	132	11	residual	residual	ADJ
fis-5273	132	12	bottlenecks	bottleneck	NOUN
fis-5273	132	13	.	.	PUNCT
fis-5273	133	1	relu6	relu6	PROPN
fis-5273	133	2	is	be	AUX
fis-5273	133	3	used	use	VERB
fis-5273	133	4	as	as	ADP
fis-5273	133	5	an	an	DET
fis-5273	133	6	activation	activation	NOUN
fis-5273	133	7	function	function	NOUN
fis-5273	133	8	on	on	ADP
fis-5273	133	9	convolutional	convolutional	ADJ
fis-5273	133	10	layers	layer	NOUN
fis-5273	133	11	because	because	SCONJ
fis-5273	133	12	of	of	ADP
fis-5273	133	13	fast	fast	ADJ
fis-5273	133	14	computation	computation	NOUN
fis-5273	133	15	,	,	PUNCT
fis-5273	133	16	softmax	softmax	NOUN
fis-5273	133	17	function	function	NOUN
fis-5273	133	18	is	be	AUX
fis-5273	133	19	used	use	VERB
fis-5273	133	20	as	as	ADP
fis-5273	133	21	a	a	DET
fis-5273	133	22	classifier	classifier	NOUN
fis-5273	133	23	at	at	ADP
fis-5273	133	24	the	the	DET
fis-5273	133	25	last	last	ADJ
fis-5273	133	26	layer	layer	NOUN
fis-5273	133	27	.	.	PUNCT
fis-5273	134	1	kernel	kernel	PROPN
fis-5273	134	2	size	size	NOUN
fis-5273	134	3	3	3	NUM
fis-5273	134	4	x	x	SYM
fis-5273	134	5	3	3	NUM
fis-5273	134	6	is	be	AUX
fis-5273	134	7	always	always	ADV
fis-5273	134	8	used	use	VERB
fis-5273	134	9	to	to	PART
fis-5273	134	10	utilize	utilize	VERB
fis-5273	134	11	dropout	dropout	NOUN
fis-5273	134	12	and	and	CCONJ
fis-5273	134	13	batch	batch	VERB
fis-5273	134	14	normalization	normalization	NOUN
fis-5273	134	15	during	during	ADP
fis-5273	134	16	training	training	NOUN
fis-5273	134	17	.	.	PUNCT
fis-5273	135	1	the	the	DET
fis-5273	135	2	input	input	NOUN
fis-5273	135	3	size	size	NOUN
fis-5273	135	4	of	of	ADP
fis-5273	135	5	the	the	DET
fis-5273	135	6	mobilenetv2	mobilenetv2	PROPN
fis-5273	135	7	is	be	AUX
fis-5273	135	8	224	224	NUM
fis-5273	135	9	x	x	SYM
fis-5273	135	10	224	224	NUM
fis-5273	135	11	pixels	pixel	NOUN
fis-5273	135	12	.	.	PUNCT
fis-5273	136	1	in	in	ADP
fis-5273	136	2	this	this	DET
fis-5273	136	3	study	study	NOUN
fis-5273	136	4	,	,	PUNCT
fis-5273	136	5	mobilenetv2	mobilenetv2	PROPN
fis-5273	136	6	is	be	AUX
fis-5273	136	7	used	use	VERB
fis-5273	136	8	as	as	ADP
fis-5273	136	9	a	a	DET
fis-5273	136	10	pre	pre	ADJ
fis-5273	136	11	-	-	ADJ
fis-5273	136	12	trained	train	VERB
fis-5273	136	13	model	model	NOUN
fis-5273	136	14	,	,	PUNCT
fis-5273	136	15	and	and	CCONJ
fis-5273	136	16	the	the	DET
fis-5273	136	17	structure	structure	NOUN
fis-5273	136	18	is	be	AUX
fis-5273	136	19	shown	show	VERB
fis-5273	136	20	in	in	ADP
fis-5273	136	21	tab	tab	NOUN
fis-5273	136	22	.	.	PUNCT
fis-5273	136	23	1	1	NUM
fis-5273	136	24	and	and	CCONJ
fis-5273	136	25	tab	tab	NOUN
fis-5273	136	26	.	.	PUNCT
fis-5273	137	1	2	2	X
fis-5273	137	2	.	.	NOUN
fis-5273	137	3	input	input	NOUN
fis-5273	137	4	operator	operator	NOUN
fis-5273	137	5	output	output	NOUN
fis-5273	137	6	h×w×k	h×w×k	X
fis-5273	137	7	1x1	1x1	NUM
fis-5273	137	8	conv2d	conv2d	PROPN
fis-5273	137	9	,	,	PUNCT
fis-5273	137	10	relu6	relu6	PROPN
fis-5273	137	11	h×w×(tk	h×w×(tk	X
fis-5273	137	12	)	)	PUNCT
fis-5273	137	13	h×w×(tk	h×w×(tk	NOUN
fis-5273	137	14	)	)	PUNCT
fis-5273	137	15	3x3	3x3	NUM
fis-5273	137	16	dwise	dwise	NOUN
fis-5273	137	17	s	s	PROPN
fis-5273	137	18	=	=	SYM
fis-5273	137	19	s	s	X
fis-5273	137	20	,	,	PUNCT
fis-5273	137	21	relu6	relu6	PROPN
fis-5273	138	1	h	h	PROPN
fis-5273	138	2	s	s	PART
fis-5273	138	3	×	×	PROPN
fis-5273	138	4	w	w	PROPN
fis-5273	138	5	s	s	NOUN
fis-5273	138	6	×(tk	×(tk	PROPN
fis-5273	138	7	)	)	PUNCT
fis-5273	138	8	h	h	PROPN
fis-5273	138	9	s	s	PART
fis-5273	138	10	×	×	PROPN
fis-5273	138	11	w	w	PROPN
fis-5273	138	12	s	s	NOUN
fis-5273	138	13	×(tk	×(tk	NOUN
fis-5273	138	14	)	)	PUNCT
fis-5273	138	15	linear	linear	NOUN
fis-5273	138	16	1x1	1x1	NUM
fis-5273	138	17	conc2d	conc2d	NOUN
fis-5273	138	18	h	h	NOUN
fis-5273	138	19	s	s	AUX
fis-5273	138	20	×	×	PROPN
fis-5273	138	21	w	w	PROPN
fis-5273	138	22	s	s	NOUN
fis-5273	138	23	×k	×k	NOUN
fis-5273	138	24	'	'	PUNCT
fis-5273	138	25	table	table	NOUN
fis-5273	138	26	1	1	NUM
fis-5273	138	27	:	:	PUNCT
fis-5273	138	28	bottle	bottle	NOUN
fis-5273	138	29	neck	neck	NOUN
fis-5273	138	30	residual	residual	ADJ
fis-5273	138	31	block	block	NOUN
fis-5273	138	32	transforming	transform	VERB
fis-5273	138	33	from	from	ADP
fis-5273	138	34	k	k	PROPN
fis-5273	138	35	to	to	ADP
fis-5273	138	36	k	k	NOUN
fis-5273	138	37	’	'	PUNCT
fis-5273	138	38	channels	channel	NOUN
fis-5273	138	39	,	,	PUNCT
fis-5273	138	40	with	with	ADP
fis-5273	138	41	stride	stride	NOUN
fis-5273	138	42	s	s	NOUN
fis-5273	138	43	,	,	PUNCT
fis-5273	138	44	and	and	CCONJ
fis-5273	138	45	expansion	expansion	NOUN
fis-5273	138	46	factor	factor	NOUN
fis-5273	138	47	t.	t.	NOUN
fis-5273	138	48	input	input	NOUN
fis-5273	138	49	operator	operator	NOUN
fis-5273	138	50	224x224x3	224x224x3	NUM
fis-5273	138	51	conv2d	conv2d	VERB
fis-5273	138	52	112x112x32	112x112x32	NUM
fis-5273	138	53	bottleneck	bottleneck	NOUN
fis-5273	138	54	112x112x16	112x112x16	NOUN
fis-5273	138	55	bottleneck	bottleneck	NOUN
fis-5273	138	56	56x56x24	56x56x24	NUM
fis-5273	138	57	bottleneck	bottleneck	NOUN
fis-5273	138	58	28x28x32	28x28x32	PROPN
fis-5273	138	59	bottleneck	bottleneck	NOUN
fis-5273	138	60	14x14x64	14x14x64	NOUN
fis-5273	138	61	bottleneck	bottleneck	VERB
fis-5273	138	62	14x14x96	14x14x96	NUM
fis-5273	138	63	bottleneck	bottleneck	NOUN
fis-5273	138	64	7x7x160	7x7x160	NUM
fis-5273	138	65	bottleneck	bottleneck	NOUN
fis-5273	138	66	7x7x320	7x7x320	NUM
fis-5273	138	67	conv2d	conv2d	VERB
fis-5273	138	68	7x7x1280	7x7x1280	NUM
fis-5273	138	69	avgpool	avgpool	NOUN
fis-5273	138	70	7x7	7x7	NUM
fis-5273	138	71	1x1x1280	1x1x1280	NUM
fis-5273	138	72	conv2d	conv2d	NOUN
fis-5273	138	73	1x1	1x1	NUM
fis-5273	138	74	table	table	NOUN
fis-5273	138	75	2	2	NUM
fis-5273	138	76	:	:	PUNCT
fis-5273	138	77	mobilenetv2	mobilenetv2	PROPN
fis-5273	138	78	layers	layer	NOUN
fis-5273	138	79	.	.	PUNCT
fis-5273	139	1	d.	d.	PROPN
fis-5273	139	2	h.	h.	PROPN
fis-5273	139	3	nguyen	nguyen	PROPN
fis-5273	139	4	et	et	PROPN
fis-5273	139	5	alii	alii	PROPN
fis-5273	139	6	,	,	PUNCT
fis-5273	139	7	fracture	fracture	ADJ
fis-5273	139	8	and	and	CCONJ
fis-5273	139	9	structural	structural	ADJ
fis-5273	139	10	integrity	integrity	NOUN
fis-5273	139	11	,	,	PUNCT
fis-5273	139	12	72	72	NUM
fis-5273	139	13	(	(	PUNCT
fis-5273	139	14	2025	2025	NUM
fis-5273	139	15	)	)	PUNCT
fis-5273	139	16	121	121	NUM
fis-5273	139	17	-	-	SYM
fis-5273	139	18	136	136	NUM
fis-5273	139	19	;	;	PUNCT
fis-5273	139	20	doi	doi	NOUN
fis-5273	139	21	:	:	PUNCT
fis-5273	139	22	10.3221	10.3221	NUM
fis-5273	139	23	/	/	SYM
fis-5273	139	24	igf	igf	PROPN
fis-5273	139	25	-	-	ADJ
fis-5273	139	26	esis.72.09	esis.72.09	ADJ
fis-5273	139	27	126	126	NUM
fis-5273	139	28	digital	digital	ADJ
fis-5273	139	29	twin	twin	ADJ
fis-5273	139	30	framework	framework	NOUN
fis-5273	139	31	a	a	DET
fis-5273	139	32	proposed	propose	VERB
fis-5273	139	33	digital	digital	ADJ
fis-5273	139	34	twin	twin	ADJ
fis-5273	139	35	concept	concept	NOUN
fis-5273	139	36	for	for	ADP
fis-5273	139	37	damage	damage	NOUN
fis-5273	139	38	detection	detection	NOUN
fis-5273	139	39	digital	digital	ADJ
fis-5273	139	40	twin	twin	NOUN
fis-5273	139	41	is	be	AUX
fis-5273	139	42	a	a	DET
fis-5273	139	43	virtual	virtual	ADJ
fis-5273	139	44	model	model	NOUN
fis-5273	139	45	developed	develop	VERB
fis-5273	139	46	to	to	PART
fis-5273	139	47	represent	represent	VERB
fis-5273	139	48	the	the	DET
fis-5273	139	49	physical	physical	ADJ
fis-5273	139	50	object	object	NOUN
fis-5273	139	51	.	.	PUNCT
fis-5273	140	1	in	in	ADP
fis-5273	140	2	civil	civil	ADJ
fis-5273	140	3	structure	structure	NOUN
fis-5273	140	4	,	,	PUNCT
fis-5273	140	5	a	a	DET
fis-5273	140	6	digital	digital	ADJ
fis-5273	140	7	twin	twin	NOUN
fis-5273	140	8	is	be	AUX
fis-5273	140	9	more	more	ADJ
fis-5273	140	10	than	than	ADP
fis-5273	140	11	a	a	DET
fis-5273	140	12	finite	finite	ADJ
fis-5273	140	13	element	element	NOUN
fis-5273	140	14	model	model	NOUN
fis-5273	140	15	(	(	PUNCT
fis-5273	140	16	fem	fem	PROPN
fis-5273	140	17	)	)	PUNCT
fis-5273	140	18	.	.	PUNCT
fis-5273	141	1	it	it	PRON
fis-5273	141	2	is	be	AUX
fis-5273	141	3	a	a	DET
fis-5273	141	4	fem	fem	NOUN
fis-5273	141	5	that	that	PRON
fis-5273	141	6	analyses	analyse	VERB
fis-5273	141	7	uncertainty	uncertainty	NOUN
fis-5273	141	8	parameters	parameter	NOUN
fis-5273	141	9	to	to	PART
fis-5273	141	10	calibrate	calibrate	VERB
fis-5273	141	11	with	with	ADP
fis-5273	141	12	data	datum	NOUN
fis-5273	141	13	measured	measure	VERB
fis-5273	141	14	from	from	ADP
fis-5273	141	15	its	its	PRON
fis-5273	141	16	physical	physical	ADJ
fis-5273	141	17	twin	twin	NOUN
fis-5273	141	18	.	.	PUNCT
fis-5273	142	1	inside	inside	ADP
fis-5273	142	2	the	the	DET
fis-5273	142	3	digital	digital	ADJ
fis-5273	142	4	twin	twin	ADJ
fis-5273	142	5	framework	framework	NOUN
fis-5273	142	6	are	be	AUX
fis-5273	142	7	some	some	DET
fis-5273	142	8	areas	area	NOUN
fis-5273	142	9	such	such	ADJ
fis-5273	142	10	as	as	ADP
fis-5273	142	11	fem	fem	NOUN
fis-5273	142	12	,	,	PUNCT
fis-5273	142	13	neural	neural	ADJ
fis-5273	142	14	networks	network	NOUN
fis-5273	142	15	,	,	PUNCT
fis-5273	142	16	model	model	NOUN
fis-5273	142	17	updating	updating	NOUN
fis-5273	142	18	,	,	PUNCT
fis-5273	142	19	structural	structural	ADJ
fis-5273	142	20	health	health	NOUN
fis-5273	142	21	monitoring	monitoring	NOUN
fis-5273	142	22	,	,	PUNCT
fis-5273	142	23	and	and	CCONJ
fis-5273	142	24	digital	digital	ADJ
fis-5273	142	25	signal	signal	NOUN
fis-5273	142	26	processing	processing	NOUN
fis-5273	142	27	.	.	PUNCT
fis-5273	143	1	the	the	DET
fis-5273	143	2	base	base	NOUN
fis-5273	143	3	of	of	ADP
fis-5273	143	4	digital	digital	ADJ
fis-5273	143	5	twin	twin	NOUN
fis-5273	143	6	is	be	AUX
fis-5273	143	7	physical	physical	ADJ
fis-5273	143	8	model	model	NOUN
fis-5273	143	9	,	,	PUNCT
fis-5273	143	10	virtual	virtual	ADJ
fis-5273	143	11	model	model	NOUN
fis-5273	143	12	and	and	CCONJ
fis-5273	143	13	the	the	DET
fis-5273	143	14	communication	communication	NOUN
fis-5273	143	15	between	between	ADP
fis-5273	143	16	them	they	PRON
fis-5273	143	17	.	.	PUNCT
fis-5273	144	1	dynamic	dynamic	ADJ
fis-5273	144	2	characteristic	characteristic	NOUN
fis-5273	144	3	of	of	ADP
fis-5273	144	4	a	a	DET
fis-5273	144	5	structure	structure	NOUN
fis-5273	144	6	is	be	AUX
fis-5273	144	7	one	one	NUM
fis-5273	144	8	of	of	ADP
fis-5273	144	9	the	the	DET
fis-5273	144	10	most	most	ADV
fis-5273	144	11	popular	popular	ADJ
fis-5273	144	12	communication	communication	NOUN
fis-5273	144	13	factor	factor	NOUN
fis-5273	144	14	and	and	CCONJ
fis-5273	144	15	can	can	AUX
fis-5273	144	16	be	be	AUX
fis-5273	144	17	extracted	extract	VERB
fis-5273	144	18	from	from	ADP
fis-5273	144	19	vibration	vibration	NOUN
fis-5273	144	20	measurements	measurement	NOUN
fis-5273	144	21	.	.	PUNCT
fis-5273	145	1	mihai	mihai	PROPN
fis-5273	145	2	et	et	PROPN
fis-5273	145	3	al	al	PROPN
fis-5273	145	4	.	.	PUNCT
fis-5273	146	1	[	[	X
fis-5273	146	2	15	15	NUM
fis-5273	146	3	]	]	PUNCT
fis-5273	146	4	refer	refer	VERB
fis-5273	146	5	to	to	ADP
fis-5273	146	6	digital	digital	ADJ
fis-5273	146	7	twin	twin	NOUN
fis-5273	146	8	as	as	ADP
fis-5273	146	9	a	a	DET
fis-5273	146	10	selfadapting	selfadapting	NOUN
fis-5273	146	11	,	,	PUNCT
fis-5273	146	12	self	self	NOUN
fis-5273	146	13	-	-	PUNCT
fis-5273	146	14	regulating	regulating	NOUN
fis-5273	146	15	,	,	PUNCT
fis-5273	146	16	self	self	NOUN
fis-5273	146	17	monitoring	monitoring	NOUN
fis-5273	146	18	and	and	CCONJ
fis-5273	146	19	self	self	NOUN
fis-5273	146	20	-	-	PUNCT
fis-5273	146	21	diagnosing	diagnose	VERB
fis-5273	146	22	system	system	NOUN
fis-5273	146	23	-	-	PUNCT
fis-5273	146	24	of	of	ADP
fis-5273	146	25	-	-	PUNCT
fis-5273	146	26	systems	system	NOUN
fis-5273	146	27	.	.	PUNCT
fis-5273	147	1	the	the	DET
fis-5273	147	2	framework	framework	NOUN
fis-5273	147	3	of	of	ADP
fis-5273	147	4	the	the	DET
fis-5273	147	5	digital	digital	ADJ
fis-5273	147	6	twin	twin	NOUN
fis-5273	147	7	is	be	AUX
fis-5273	147	8	displayed	display	VERB
fis-5273	147	9	in	in	ADP
fis-5273	147	10	fig	fig	NOUN
fis-5273	147	11	.	.	PUNCT
fis-5273	148	1	2	2	X
fis-5273	148	2	.	.	X
fis-5273	148	3	the	the	DET
fis-5273	148	4	two	two	NUM
fis-5273	148	5	systems	system	NOUN
fis-5273	148	6	(	(	PUNCT
fis-5273	148	7	physical	physical	ADJ
fis-5273	148	8	and	and	CCONJ
fis-5273	148	9	digital	digital	ADJ
fis-5273	148	10	)	)	PUNCT
fis-5273	148	11	exist	exist	VERB
fis-5273	148	12	side	side	NOUN
fis-5273	148	13	by	by	ADP
fis-5273	148	14	side	side	NOUN
fis-5273	148	15	,	,	PUNCT
fis-5273	148	16	sharing	share	VERB
fis-5273	148	17	all	all	DET
fis-5273	148	18	the	the	DET
fis-5273	148	19	inputs	input	NOUN
fis-5273	148	20	and	and	CCONJ
fis-5273	148	21	operations	operation	NOUN
fis-5273	148	22	using	use	VERB
fis-5273	148	23	information	information	NOUN
fis-5273	148	24	transfer	transfer	NOUN
fis-5273	148	25	and	and	CCONJ
fis-5273	148	26	real	real	ADJ
fis-5273	148	27	-	-	PUNCT
fis-5273	148	28	time	time	NOUN
fis-5273	148	29	data	datum	NOUN
fis-5273	148	30	signals	signal	NOUN
fis-5273	148	31	.	.	PUNCT
fis-5273	149	1	sensors	sensor	NOUN
fis-5273	149	2	are	be	AUX
fis-5273	149	3	attached	attach	VERB
fis-5273	149	4	to	to	ADP
fis-5273	149	5	a	a	DET
fis-5273	149	6	physical	physical	ADJ
fis-5273	149	7	twin	twin	ADJ
fis-5273	149	8	model	model	NOUN
fis-5273	149	9	to	to	PART
fis-5273	149	10	collect	collect	VERB
fis-5273	149	11	vibration	vibration	NOUN
fis-5273	149	12	data	datum	NOUN
fis-5273	149	13	.	.	PUNCT
fis-5273	150	1	these	these	DET
fis-5273	150	2	data	datum	NOUN
fis-5273	150	3	are	be	AUX
fis-5273	150	4	used	use	VERB
fis-5273	150	5	to	to	PART
fis-5273	150	6	calibrate	calibrate	VERB
fis-5273	150	7	the	the	DET
fis-5273	150	8	digital	digital	ADJ
fis-5273	150	9	twin	twin	ADJ
fis-5273	150	10	model	model	NOUN
fis-5273	150	11	.	.	PUNCT
fis-5273	151	1	optimization	optimization	NOUN
fis-5273	151	2	algorithms	algorithm	NOUN
fis-5273	151	3	are	be	AUX
fis-5273	151	4	used	use	VERB
fis-5273	151	5	to	to	PART
fis-5273	151	6	do	do	VERB
fis-5273	151	7	this	this	DET
fis-5273	151	8	task	task	NOUN
fis-5273	151	9	.	.	PUNCT
fis-5273	152	1	uncertainty	uncertainty	NOUN
fis-5273	152	2	parameters	parameter	NOUN
fis-5273	152	3	such	such	ADJ
fis-5273	152	4	as	as	ADP
fis-5273	152	5	the	the	DET
fis-5273	152	6	geometry	geometry	NOUN
fis-5273	152	7	of	of	ADP
fis-5273	152	8	the	the	DET
fis-5273	152	9	model	model	NOUN
fis-5273	152	10	,	,	PUNCT
fis-5273	152	11	material	material	NOUN
fis-5273	152	12	properties	property	NOUN
fis-5273	152	13	,	,	PUNCT
fis-5273	152	14	and	and	CCONJ
fis-5273	152	15	boundary	boundary	ADJ
fis-5273	152	16	conditions	condition	NOUN
fis-5273	152	17	are	be	AUX
fis-5273	152	18	some	some	DET
fis-5273	152	19	popular	popular	ADJ
fis-5273	152	20	updated	update	VERB
fis-5273	152	21	parameters	parameter	NOUN
fis-5273	152	22	.	.	PUNCT
fis-5273	153	1	the	the	DET
fis-5273	153	2	target	target	NOUN
fis-5273	153	3	is	be	AUX
fis-5273	153	4	the	the	DET
fis-5273	153	5	behaviour	behaviour	NOUN
fis-5273	153	6	of	of	ADP
fis-5273	153	7	the	the	DET
fis-5273	153	8	physical	physical	ADJ
fis-5273	153	9	model	model	NOUN
fis-5273	153	10	and	and	CCONJ
fis-5273	153	11	digital	digital	ADJ
fis-5273	153	12	twin	twin	NOUN
fis-5273	153	13	are	be	AUX
fis-5273	153	14	identical	identical	ADJ
fis-5273	153	15	.	.	PUNCT
fis-5273	154	1	for	for	ADP
fis-5273	154	2	example	example	NOUN
fis-5273	154	3	,	,	PUNCT
fis-5273	154	4	the	the	DET
fis-5273	154	5	differences	difference	NOUN
fis-5273	154	6	between	between	ADP
fis-5273	154	7	natural	natural	ADJ
fis-5273	154	8	frequencies	frequency	NOUN
fis-5273	154	9	,	,	PUNCT
fis-5273	154	10	the	the	DET
fis-5273	154	11	mac	mac	PROPN
fis-5273	154	12	value	value	NOUN
fis-5273	154	13	of	of	ADP
fis-5273	154	14	the	the	DET
fis-5273	154	15	mode	mode	NOUN
fis-5273	154	16	shape	shape	NOUN
fis-5273	154	17	,	,	PUNCT
fis-5273	154	18	and	and	CCONJ
fis-5273	154	19	the	the	DET
fis-5273	154	20	defection	defection	NOUN
fis-5273	154	21	of	of	ADP
fis-5273	154	22	the	the	DET
fis-5273	154	23	structures	structure	NOUN
fis-5273	154	24	are	be	AUX
fis-5273	154	25	minimized	minimize	VERB
fis-5273	154	26	.	.	PUNCT
fis-5273	155	1	different	different	ADJ
fis-5273	155	2	damage	damage	NOUN
fis-5273	155	3	scenarios	scenario	NOUN
fis-5273	155	4	are	be	AUX
fis-5273	155	5	simulated	simulate	VERB
fis-5273	155	6	in	in	ADP
fis-5273	155	7	the	the	DET
fis-5273	155	8	digital	digital	ADJ
fis-5273	155	9	twin	twin	ADJ
fis-5273	155	10	model	model	NOUN
fis-5273	155	11	.	.	PUNCT
fis-5273	156	1	the	the	DET
fis-5273	156	2	resulting	result	VERB
fis-5273	156	3	significant	significant	ADJ
fis-5273	156	4	amount	amount	NOUN
fis-5273	156	5	of	of	ADP
fis-5273	156	6	data	datum	NOUN
fis-5273	156	7	is	be	AUX
fis-5273	156	8	employed	employ	VERB
fis-5273	156	9	to	to	PART
fis-5273	156	10	train	train	VERB
fis-5273	156	11	a	a	DET
fis-5273	156	12	neural	neural	ADJ
fis-5273	156	13	network	network	NOUN
fis-5273	156	14	.	.	PUNCT
fis-5273	157	1	the	the	DET
fis-5273	157	2	main	main	ADJ
fis-5273	157	3	goals	goal	NOUN
fis-5273	157	4	of	of	ADP
fis-5273	157	5	a	a	DET
fis-5273	157	6	digital	digital	ADJ
fis-5273	157	7	twin	twin	ADJ
fis-5273	157	8	model	model	NOUN
fis-5273	157	9	and	and	CCONJ
fis-5273	157	10	a	a	DET
fis-5273	157	11	machine	machine	NOUN
fis-5273	157	12	learning	learn	VERB
fis-5273	157	13	system	system	NOUN
fis-5273	157	14	are	be	AUX
fis-5273	157	15	locating	locate	VERB
fis-5273	157	16	and	and	CCONJ
fis-5273	157	17	evaluating	evaluate	VERB
fis-5273	157	18	the	the	DET
fis-5273	157	19	severity	severity	NOUN
fis-5273	157	20	of	of	ADP
fis-5273	157	21	the	the	DET
fis-5273	157	22	damage	damage	NOUN
fis-5273	157	23	.	.	PUNCT
fis-5273	158	1	considering	consider	VERB
fis-5273	158	2	the	the	DET
fis-5273	158	3	connection	connection	NOUN
fis-5273	158	4	between	between	ADP
fis-5273	158	5	a	a	DET
fis-5273	158	6	virtual	virtual	ADJ
fis-5273	158	7	to	to	ADP
fis-5273	158	8	a	a	DET
fis-5273	158	9	physical	physical	ADJ
fis-5273	158	10	model	model	NOUN
fis-5273	158	11	,	,	PUNCT
fis-5273	158	12	data	datum	NOUN
fis-5273	158	13	collected	collect	VERB
fis-5273	158	14	from	from	ADP
fis-5273	158	15	the	the	DET
fis-5273	158	16	physical	physical	ADJ
fis-5273	158	17	model	model	NOUN
fis-5273	158	18	will	will	AUX
fis-5273	158	19	be	be	AUX
fis-5273	158	20	analysed	analyse	VERB
fis-5273	158	21	and	and	CCONJ
fis-5273	158	22	trained	train	VERB
fis-5273	158	23	to	to	PART
fis-5273	158	24	predict	predict	VERB
fis-5273	158	25	the	the	DET
fis-5273	158	26	damage	damage	NOUN
fis-5273	158	27	in	in	ADP
fis-5273	158	28	the	the	DET
fis-5273	158	29	physical	physical	ADJ
fis-5273	158	30	model	model	NOUN
fis-5273	158	31	.	.	PUNCT
fis-5273	159	1	the	the	DET
fis-5273	159	2	procedure	procedure	NOUN
fis-5273	159	3	to	to	PART
fis-5273	159	4	identify	identify	VERB
fis-5273	159	5	damage	damage	NOUN
fis-5273	159	6	locations	location	NOUN
fis-5273	159	7	and	and	CCONJ
fis-5273	159	8	its	its	PRON
fis-5273	159	9	severity	severity	NOUN
fis-5273	159	10	in	in	ADP
fis-5273	159	11	a	a	DET
fis-5273	159	12	structure	structure	NOUN
fis-5273	159	13	using	use	VERB
fis-5273	159	14	digital	digital	ADJ
fis-5273	159	15	twin	twin	ADJ
fis-5273	159	16	framework	framework	NOUN
fis-5273	159	17	is	be	AUX
fis-5273	159	18	summarised	summarise	VERB
fis-5273	159	19	below	below	ADV
fis-5273	159	20	:	:	PUNCT
fis-5273	159	21	step	step	NOUN
fis-5273	159	22	1	1	NUM
fis-5273	159	23	:	:	PUNCT
fis-5273	159	24	sensors	sensor	NOUN
fis-5273	159	25	are	be	AUX
fis-5273	159	26	attached	attach	VERB
fis-5273	159	27	to	to	ADP
fis-5273	159	28	the	the	DET
fis-5273	159	29	slab	slab	NOUN
fis-5273	159	30	to	to	PART
fis-5273	159	31	monitor	monitor	VERB
fis-5273	159	32	the	the	DET
fis-5273	159	33	slab	slab	NOUN
fis-5273	159	34	's	's	PART
fis-5273	159	35	vibration	vibration	NOUN
fis-5273	159	36	and	and	CCONJ
fis-5273	159	37	deflection	deflection	NOUN
fis-5273	159	38	.	.	PUNCT
fis-5273	160	1	step	step	NOUN
fis-5273	160	2	2	2	NUM
fis-5273	160	3	:	:	PUNCT
fis-5273	160	4	a	a	DET
fis-5273	160	5	digital	digital	ADJ
fis-5273	160	6	twin	twin	NOUN
fis-5273	160	7	of	of	ADP
fis-5273	160	8	the	the	DET
fis-5273	160	9	structure	structure	NOUN
fis-5273	160	10	is	be	AUX
fis-5273	160	11	created	create	VERB
fis-5273	160	12	as	as	ADP
fis-5273	160	13	the	the	DET
fis-5273	160	14	finite	finite	PROPN
fis-5273	160	15	element	element	NOUN
fis-5273	160	16	model	model	PROPN
fis-5273	160	17	.	.	PUNCT
fis-5273	161	1	measured	measure	VERB
fis-5273	161	2	data	datum	NOUN
fis-5273	161	3	from	from	ADP
fis-5273	161	4	step	step	NOUN
fis-5273	161	5	1	1	NUM
fis-5273	161	6	will	will	AUX
fis-5273	161	7	be	be	AUX
fis-5273	161	8	used	use	VERB
fis-5273	161	9	to	to	PART
fis-5273	161	10	calibrate	calibrate	VERB
fis-5273	161	11	the	the	DET
fis-5273	161	12	digital	digital	ADJ
fis-5273	161	13	model	model	NOUN
fis-5273	161	14	.	.	PUNCT
fis-5273	162	1	step	step	VERB
fis-5273	162	2	3	3	NUM
fis-5273	162	3	:	:	PUNCT
fis-5273	162	4	damages	damage	NOUN
fis-5273	162	5	are	be	AUX
fis-5273	162	6	introduced	introduce	VERB
fis-5273	162	7	in	in	ADP
fis-5273	162	8	the	the	DET
fis-5273	162	9	slab	slab	NOUN
fis-5273	162	10	structure	structure	NOUN
fis-5273	162	11	digital	digital	ADJ
fis-5273	162	12	twin	twin	NOUN
fis-5273	162	13	and	and	CCONJ
fis-5273	162	14	the	the	DET
fis-5273	162	15	deflection	deflection	NOUN
fis-5273	162	16	data	datum	NOUN
fis-5273	162	17	set	set	VERB
fis-5273	162	18	of	of	ADP
fis-5273	162	19	the	the	DET
fis-5273	162	20	damaged	damage	VERB
fis-5273	162	21	structure	structure	NOUN
fis-5273	162	22	is	be	AUX
fis-5273	162	23	restored	restore	VERB
fis-5273	162	24	.	.	PUNCT
fis-5273	163	1	step	step	NOUN
fis-5273	163	2	4	4	NUM
fis-5273	163	3	:	:	PUNCT
fis-5273	163	4	using	use	VERB
fis-5273	163	5	dwt	dwt	PROPN
fis-5273	163	6	analyse	analyse	NOUN
fis-5273	163	7	the	the	DET
fis-5273	163	8	defection	defection	NOUN
fis-5273	163	9	data	datum	NOUN
fis-5273	163	10	and	and	CCONJ
fis-5273	163	11	create	create	VERB
fis-5273	163	12	an	an	DET
fis-5273	163	13	input	input	NOUN
fis-5273	163	14	dataset	dataset	NOUN
fis-5273	163	15	.	.	PUNCT
fis-5273	164	1	step	step	NOUN
fis-5273	164	2	5	5	NUM
fis-5273	164	3	:	:	PUNCT
fis-5273	164	4	training	train	VERB
fis-5273	164	5	cnn	cnn	NOUN
fis-5273	164	6	using	use	VERB
fis-5273	164	7	the	the	DET
fis-5273	164	8	input	input	NOUN
fis-5273	164	9	dataset	dataset	NOUN
fis-5273	164	10	and	and	CCONJ
fis-5273	164	11	its	its	PRON
fis-5273	164	12	labelled	label	VERB
fis-5273	164	13	target	target	NOUN
fis-5273	164	14	.	.	PUNCT
fis-5273	165	1	step	step	NOUN
fis-5273	165	2	6	6	NUM
fis-5273	165	3	:	:	PUNCT
fis-5273	165	4	the	the	DET
fis-5273	165	5	trained	train	VERB
fis-5273	165	6	cnn	cnn	PROPN
fis-5273	165	7	is	be	AUX
fis-5273	165	8	saved	save	VERB
fis-5273	165	9	for	for	ADP
fis-5273	165	10	future	future	ADJ
fis-5273	165	11	use	use	NOUN
fis-5273	165	12	,	,	PUNCT
fis-5273	165	13	saved	save	VERB
fis-5273	165	14	as	as	ADP
fis-5273	165	15	a	a	DET
fis-5273	165	16	pre	pre	ADJ
fis-5273	165	17	-	-	ADJ
fis-5273	165	18	trained	train	VERB
fis-5273	165	19	model	model	NOUN
fis-5273	165	20	for	for	ADP
fis-5273	165	21	mobilenetv2	mobilenetv2	PROPN
fis-5273	165	22	.	.	PUNCT
fis-5273	166	1	step	step	NOUN
fis-5273	166	2	7	7	NUM
fis-5273	166	3	:	:	PUNCT
fis-5273	166	4	predict	predict	VERB
fis-5273	166	5	the	the	DET
fis-5273	166	6	location	location	NOUN
fis-5273	166	7	and	and	CCONJ
fis-5273	166	8	severity	severity	NOUN
fis-5273	166	9	of	of	ADP
fis-5273	166	10	the	the	DET
fis-5273	166	11	damage	damage	NOUN
fis-5273	166	12	for	for	ADP
fis-5273	166	13	new	new	ADJ
fis-5273	166	14	cases	case	NOUN
fis-5273	166	15	.	.	PUNCT
fis-5273	167	1	figure	figure	NOUN
fis-5273	167	2	2	2	NUM
fis-5273	167	3	:	:	PUNCT
fis-5273	167	4	the	the	DET
fis-5273	167	5	digital	digital	ADJ
fis-5273	167	6	twin	twin	ADJ
fis-5273	167	7	framework	framework	NOUN
fis-5273	167	8	.	.	PUNCT
fis-5273	168	1	case	case	NOUN
fis-5273	168	2	study	study	NOUN
fis-5273	168	3	:	:	PUNCT
fis-5273	168	4	slab	slab	NOUN
fis-5273	168	5	structure	structure	NOUN
fis-5273	168	6			PROPN
fis-5273	168	7	the	the	DET
fis-5273	168	8	physical	physical	ADJ
fis-5273	168	9	model	model	NOUN
fis-5273	168	10	of	of	ADP
fis-5273	168	11	the	the	DET
fis-5273	168	12	slab	slab	NOUN
fis-5273	168	13	the	the	DET
fis-5273	168	14	slab	slab	NOUN
fis-5273	168	15	model	model	NOUN
fis-5273	168	16	in	in	ADP
fis-5273	168	17	this	this	DET
fis-5273	168	18	research	research	NOUN
fis-5273	168	19	length	length	NOUN
fis-5273	168	20	is	be	AUX
fis-5273	168	21	3.5	3.5	NUM
fis-5273	168	22	m	m	NOUN
fis-5273	168	23	,	,	PUNCT
fis-5273	168	24	wide	wide	ADJ
fis-5273	168	25	0.5	0.5	NUM
fis-5273	168	26	m	m	NOUN
fis-5273	168	27	,	,	PUNCT
fis-5273	168	28	and	and	CCONJ
fis-5273	168	29	height	height	NOUN
fis-5273	168	30	0.0433	0.0433	NUM
fis-5273	168	31	m.	m.	NOUN
fis-5273	168	32	the	the	DET
fis-5273	168	33	slab	slab	NOUN
fis-5273	168	34	is	be	AUX
fis-5273	168	35	made	make	VERB
fis-5273	168	36	from	from	ADP
fis-5273	168	37	ultra	ultra	ADJ
fis-5273	168	38	-	-	ADJ
fis-5273	168	39	highperformance	highperformance	ADJ
fis-5273	168	40	concrete	concrete	NOUN
fis-5273	168	41	(	(	PUNCT
fis-5273	168	42	uhpc	uhpc	NOUN
fis-5273	168	43	)	)	PUNCT
fis-5273	168	44	.	.	PUNCT
fis-5273	169	1	the	the	DET
fis-5273	169	2	boundary	boundary	ADJ
fis-5273	169	3	condition	condition	NOUN
fis-5273	169	4	is	be	AUX
fis-5273	169	5	simply	simply	ADV
fis-5273	169	6	supported	support	VERB
fis-5273	169	7	,	,	PUNCT
fis-5273	169	8	one	one	NUM
fis-5273	169	9	bearing	bearing	NOUN
fis-5273	169	10	is	be	AUX
fis-5273	169	11	fixed	fix	VERB
fis-5273	169	12	and	and	CCONJ
fis-5273	169	13	the	the	DET
fis-5273	169	14	other	other	ADJ
fis-5273	169	15	is	be	AUX
fis-5273	169	16	rolled	roll	VERB
fis-5273	169	17	.	.	PUNCT
fis-5273	170	1	55	55	NUM
fis-5273	170	2	discrete	discrete	ADJ
fis-5273	170	3	locations	location	NOUN
fis-5273	170	4	are	be	AUX
fis-5273	170	5	marked	mark	VERB
fis-5273	170	6	to	to	PART
fis-5273	170	7	measure	measure	VERB
fis-5273	170	8	the	the	DET
fis-5273	170	9	acceleration	acceleration	NOUN
fis-5273	170	10	.	.	PUNCT
fis-5273	171	1	fig	fig	NOUN
fis-5273	171	2	.	.	PUNCT
fis-5273	172	1	3	3	NUM
fis-5273	172	2	shows	show	VERB
fis-5273	172	3	the	the	DET
fis-5273	172	4	prototype	prototype	NOUN
fis-5273	172	5	and	and	CCONJ
fis-5273	172	6	experiment	experiment	NOUN
fis-5273	172	7	setup	setup	NOUN
fis-5273	172	8	in	in	ADP
fis-5273	172	9	the	the	DET
fis-5273	172	10	laboratory	laboratory	NOUN
fis-5273	172	11	.	.	PUNCT
fis-5273	173	1	15	15	NUM
fis-5273	173	2	accelerometers	accelerometer	NOUN
fis-5273	173	3	(	(	PUNCT
fis-5273	173	4	s1	s1	NOUN
fis-5273	173	5	to	to	ADP
fis-5273	173	6	s15	s15	PROPN
fis-5273	173	7	)	)	PUNCT
fis-5273	173	8	,	,	PUNCT
fis-5273	173	9	5	5	NUM
fis-5273	173	10	setups	setup	NOUN
fis-5273	173	11	,	,	PUNCT
fis-5273	173	12	and	and	CCONJ
fis-5273	173	13	5	5	NUM
fis-5273	173	14	reference	reference	NOUN
fis-5273	173	15	points	point	NOUN
fis-5273	173	16	are	be	AUX
fis-5273	173	17	used	use	VERB
fis-5273	173	18	.	.	PUNCT
fis-5273	174	1	tab	tab	NOUN
fis-5273	174	2	.	.	PUNCT
fis-5273	175	1	3	3	NUM
fis-5273	175	2	presents	present	VERB
fis-5273	175	3	the	the	DET
fis-5273	175	4	location	location	NOUN
fis-5273	175	5	of	of	ADP
fis-5273	175	6	each	each	DET
fis-5273	175	7	accelerometer	accelerometer	NOUN
fis-5273	175	8	marked	mark	VERB
fis-5273	175	9	in	in	ADP
fis-5273	175	10	the	the	DET
fis-5273	175	11	slab	slab	NOUN
fis-5273	175	12	.	.	PUNCT
fis-5273	176	1	five	five	NUM
fis-5273	176	2	setups	setup	NOUN
fis-5273	176	3	containing	contain	VERB
fis-5273	176	4	55	55	NUM
fis-5273	176	5	discrete	discrete	ADJ
fis-5273	176	6	locations	location	NOUN
fis-5273	176	7	are	be	AUX
fis-5273	176	8	shown	show	VERB
fis-5273	176	9	in	in	ADP
fis-5273	176	10	detail	detail	NOUN
fis-5273	176	11	.	.	PUNCT
fis-5273	177	1	the	the	DET
fis-5273	177	2	sensitivity	sensitivity	NOUN
fis-5273	177	3	of	of	ADP
fis-5273	177	4	an	an	DET
fis-5273	177	5	accelerometer	accelerometer	NOUN
fis-5273	177	6	from	from	ADP
fis-5273	177	7	10.13	10.13	NUM
fis-5273	177	8	−	−	PROPN
fis-5273	177	9	10.50	10.50	NUM
fis-5273	177	10	mv	mv	PROPN
fis-5273	177	11	/	/	SYM
fis-5273	177	12	m	m	PROPN
fis-5273	177	13	/	/	SYM
fis-5273	177	14	s2	s2	PROPN
fis-5273	177	15	,	,	PUNCT
fis-5273	177	16	and	and	CCONJ
fis-5273	177	17	weight	weight	NOUN
fis-5273	177	18	7.8	7.8	NUM
fis-5273	177	19	g.	g.	NOUN
fis-5273	177	20	the	the	DET
fis-5273	177	21	accelerometer	accelerometer	NOUN
fis-5273	177	22	weight	weight	NOUN
fis-5273	177	23	was	be	AUX
fis-5273	177	24	considered	consider	VERB
fis-5273	177	25	to	to	PART
fis-5273	177	26	not	not	PART
fis-5273	177	27	affect	affect	VERB
fis-5273	177	28	the	the	DET
fis-5273	177	29	slab	slab	NOUN
fis-5273	177	30	vibration	vibration	NOUN
fis-5273	177	31	behaviour	behaviour	NOUN
fis-5273	177	32	.	.	PUNCT
fis-5273	178	1	a	a	DET
fis-5273	178	2	d.	d.	PROPN
fis-5273	178	3	h.	h.	PROPN
fis-5273	178	4	nguyen	nguyen	PROPN
fis-5273	178	5	et	et	PROPN
fis-5273	178	6	alii	alii	PROPN
fis-5273	178	7	,	,	PUNCT
fis-5273	178	8	fracture	fracture	ADJ
fis-5273	178	9	and	and	CCONJ
fis-5273	178	10	structural	structural	ADJ
fis-5273	178	11	integrity	integrity	NOUN
fis-5273	178	12	,	,	PUNCT
fis-5273	178	13	72	72	NUM
fis-5273	178	14	(	(	PUNCT
fis-5273	178	15	2025	2025	NUM
fis-5273	178	16	)	)	PUNCT
fis-5273	178	17	121	121	NUM
fis-5273	178	18	-	-	SYM
fis-5273	178	19	136	136	NUM
fis-5273	178	20	;	;	PUNCT
fis-5273	178	21	doi	doi	NOUN
fis-5273	178	22	:	:	PUNCT
fis-5273	178	23	10.3221	10.3221	NUM
fis-5273	178	24	/	/	SYM
fis-5273	178	25	igf	igf	PROPN
fis-5273	178	26	-	-	ADJ
fis-5273	178	27	esis.72.09	esis.72.09	PROPN
fis-5273	178	28	127	127	NUM
fis-5273	178	29	the	the	DET
fis-5273	178	30	slab	slab	NOUN
fis-5273	178	31	is	be	AUX
fis-5273	178	32	excited	excite	VERB
fis-5273	178	33	by	by	ADP
fis-5273	178	34	a	a	DET
fis-5273	178	35	hammer	hammer	NOUN
fis-5273	178	36	,	,	PUNCT
fis-5273	178	37	the	the	DET
fis-5273	178	38	sampling	sample	VERB
fis-5273	178	39	frequency	frequency	NOUN
fis-5273	178	40	and	and	CCONJ
fis-5273	178	41	time	time	NOUN
fis-5273	178	42	were	be	AUX
fis-5273	178	43	2560	2560	NUM
fis-5273	178	44	hz	hz	X
fis-5273	178	45	and	and	CCONJ
fis-5273	178	46	300	300	NUM
fis-5273	178	47	seconds	second	NOUN
fis-5273	178	48	.	.	PUNCT
fis-5273	179	1	the	the	DET
fis-5273	179	2	slab	slab	NOUN
fis-5273	179	3	vibration	vibration	NOUN
fis-5273	179	4	almost	almost	ADV
fis-5273	179	5	stops	stop	VERB
fis-5273	179	6	during	during	ADP
fis-5273	179	7	the	the	DET
fis-5273	179	8	measurement	measurement	NOUN
fis-5273	179	9	time	time	NOUN
fis-5273	179	10	.	.	PUNCT
fis-5273	180	1	the	the	DET
fis-5273	180	2	vibration	vibration	NOUN
fis-5273	180	3	data	datum	NOUN
fis-5273	180	4	was	be	AUX
fis-5273	180	5	analysed	analyse	VERB
fis-5273	180	6	by	by	ADP
fis-5273	180	7	the	the	DET
fis-5273	180	8	ssi	ssi	PROPN
fis-5273	180	9	method	method	NOUN
fis-5273	180	10	which	which	PRON
fis-5273	180	11	set	set	VERB
fis-5273	180	12	the	the	DET
fis-5273	180	13	criterion	criterion	NOUN
fis-5273	180	14	of	of	ADP
fis-5273	180	15	1	1	NUM
fis-5273	180	16	%	%	NOUN
fis-5273	180	17	error	error	NOUN
fis-5273	180	18	in	in	ADP
fis-5273	180	19	frequency	frequency	NOUN
fis-5273	180	20	,	,	PUNCT
fis-5273	180	21	5	5	NUM
fis-5273	180	22	%	%	NOUN
fis-5273	180	23	error	error	NOUN
fis-5273	180	24	in	in	ADP
fis-5273	180	25	damping	damp	VERB
fis-5273	180	26	,	,	PUNCT
fis-5273	180	27	and	and	CCONJ
fis-5273	180	28	98	98	NUM
fis-5273	180	29	%	%	NOUN
fis-5273	180	30	confidence	confidence	NOUN
fis-5273	180	31	in	in	ADP
fis-5273	180	32	mode	mode	NOUN
fis-5273	180	33	shape	shape	NOUN
fis-5273	180	34	vectors	vector	NOUN
fis-5273	180	35	.	.	PUNCT
fis-5273	181	1	the	the	DET
fis-5273	181	2	stabilisation	stabilisation	NOUN
fis-5273	181	3	diagram	diagram	NOUN
fis-5273	181	4	is	be	AUX
fis-5273	181	5	presented	present	VERB
fis-5273	181	6	in	in	ADP
fis-5273	181	7	fig	fig	NOUN
fis-5273	181	8	.	.	PUNCT
fis-5273	182	1	4	4	X
fis-5273	182	2	.	.	X
fis-5273	182	3	the	the	DET
fis-5273	182	4	characteristics	characteristic	NOUN
fis-5273	182	5	of	of	ADP
fis-5273	182	6	the	the	DET
fis-5273	182	7	physical	physical	ADJ
fis-5273	182	8	model	model	NOUN
fis-5273	182	9	are	be	AUX
fis-5273	182	10	identified	identify	VERB
fis-5273	182	11	by	by	ADP
fis-5273	182	12	using	use	VERB
fis-5273	182	13	the	the	DET
fis-5273	182	14	first	first	ADJ
fis-5273	182	15	four	four	NUM
fis-5273	182	16	natural	natural	ADJ
fis-5273	182	17	frequencies	frequency	NOUN
fis-5273	182	18	extracted	extract	VERB
fis-5273	182	19	from	from	ADP
fis-5273	182	20	vibration	vibration	NOUN
fis-5273	182	21	data	datum	NOUN
fis-5273	182	22	.	.	PUNCT
fis-5273	183	1	the	the	DET
fis-5273	183	2	natural	natural	ADJ
fis-5273	183	3	frequencies	frequency	NOUN
fis-5273	183	4	of	of	ADP
fis-5273	183	5	mode	mode	NOUN
fis-5273	183	6	1	1	NUM
fis-5273	183	7	,	,	PUNCT
fis-5273	183	8	mode	mode	NOUN
fis-5273	183	9	2	2	NUM
fis-5273	183	10	,	,	PUNCT
fis-5273	183	11	mode	mode	NOUN
fis-5273	183	12	3	3	NUM
fis-5273	183	13	,	,	PUNCT
fis-5273	183	14	and	and	CCONJ
fis-5273	183	15	mode	mode	NOUN
fis-5273	183	16	4	4	NUM
fis-5273	183	17	are	be	AUX
fis-5273	183	18	9.49	9.49	NUM
fis-5273	183	19	hz	hz	NOUN
fis-5273	183	20	,	,	PUNCT
fis-5273	183	21	41.46	41.46	NUM
fis-5273	183	22	hz	hz	NOUN
fis-5273	183	23	,	,	PUNCT
fis-5273	183	24	86.83	86.83	NUM
fis-5273	183	25	hz	hz	NOUN
fis-5273	183	26	,	,	PUNCT
fis-5273	183	27	and	and	CCONJ
fis-5273	183	28	141.41	141.41	NUM
fis-5273	183	29	hz	hz	NOUN
fis-5273	183	30	,	,	PUNCT
fis-5273	183	31	respectively	respectively	ADV
fis-5273	183	32	.	.	PUNCT
fis-5273	183	33	figure	figure	VERB
fis-5273	183	34	3	3	NUM
fis-5273	183	35	:	:	PUNCT
fis-5273	183	36	the	the	DET
fis-5273	183	37	physical	physical	ADJ
fis-5273	183	38	model	model	NOUN
fis-5273	183	39	of	of	ADP
fis-5273	183	40	the	the	DET
fis-5273	183	41	uhpc	uhpc	NOUN
fis-5273	183	42	slab	slab	NOUN
fis-5273	183	43	.	.	PUNCT
fis-5273	184	1	setup	setup	NOUN
fis-5273	184	2	accelerometer	accelerometer	NOUN
fis-5273	184	3	label	label	NOUN
fis-5273	184	4	s1	s1	PROPN
fis-5273	184	5	s2	s2	PROPN
fis-5273	184	6	s3	s3	PROPN
fis-5273	184	7	s4	s4	PROPN
fis-5273	184	8	s5	s5	PROPN
fis-5273	184	9	s6	s6	PROPN
fis-5273	184	10	s7	s7	PROPN
fis-5273	184	11	s8	s8	PROPN
fis-5273	184	12	s9	s9	PROPN
fis-5273	184	13	s10	s10	PROPN
fis-5273	184	14	s11	s11	PROPN
fis-5273	184	15	s12	s12	PROPN
fis-5273	184	16	s13	s13	PROPN
fis-5273	184	17	s14	s14	NOUN
fis-5273	184	18	s15	s15	NOUN
fis-5273	184	19	1	1	NUM
fis-5273	184	20	1	1	NUM
fis-5273	184	21	2	2	NUM
fis-5273	184	22	3	3	NUM
fis-5273	184	23	4	4	NUM
fis-5273	184	24	5	5	NUM
fis-5273	184	25	6	6	NUM
fis-5273	184	26	7	7	NUM
fis-5273	184	27	8	8	NUM
fis-5273	184	28	9	9	NUM
fis-5273	184	29	10	10	NUM
fis-5273	184	30	11	11	NUM
fis-5273	184	31	41	41	NUM
fis-5273	184	32	28	28	NUM
fis-5273	184	33	14	14	NUM
fis-5273	184	34	49	49	NUM
fis-5273	184	35	2	2	NUM
fis-5273	184	36	12	12	NUM
fis-5273	184	37	13	13	NUM
fis-5273	184	38	15	15	NUM
fis-5273	184	39	4	4	NUM
fis-5273	184	40	16	16	NUM
fis-5273	184	41	17	17	NUM
fis-5273	184	42	18	18	NUM
fis-5273	184	43	19	19	NUM
fis-5273	184	44	20	20	NUM
fis-5273	184	45	21	21	NUM
fis-5273	184	46	22	22	NUM
fis-5273	184	47	41	41	NUM
fis-5273	184	48	28	28	NUM
fis-5273	184	49	14	14	NUM
fis-5273	184	50	49	49	NUM
fis-5273	184	51	3	3	NUM
fis-5273	184	52	23	23	NUM
fis-5273	184	53	24	24	NUM
fis-5273	184	54	25	25	NUM
fis-5273	184	55	4	4	NUM
fis-5273	184	56	26	26	NUM
fis-5273	184	57	27	27	NUM
fis-5273	184	58	29	29	NUM
fis-5273	184	59	30	30	NUM
fis-5273	184	60	31	31	NUM
fis-5273	184	61	32	32	NUM
fis-5273	184	62	33	33	NUM
fis-5273	184	63	41	41	NUM
fis-5273	184	64	28	28	NUM
fis-5273	184	65	14	14	NUM
fis-5273	184	66	49	49	NUM
fis-5273	184	67	4	4	NUM
fis-5273	184	68	34	34	NUM
fis-5273	184	69	35	35	NUM
fis-5273	184	70	36	36	NUM
fis-5273	184	71	4	4	NUM
fis-5273	184	72	37	37	NUM
fis-5273	184	73	38	38	NUM
fis-5273	184	74	39	39	NUM
fis-5273	184	75	40	40	NUM
fis-5273	184	76	42	42	NUM
fis-5273	184	77	43	43	NUM
fis-5273	184	78	44	44	NUM
fis-5273	184	79	41	41	NUM
fis-5273	184	80	28	28	NUM
fis-5273	184	81	14	14	NUM
fis-5273	184	82	49	49	NUM
fis-5273	184	83	5	5	NUM
fis-5273	184	84	45	45	NUM
fis-5273	184	85	46	46	NUM
fis-5273	184	86	47	47	NUM
fis-5273	184	87	4	4	NUM
fis-5273	184	88	48	48	NUM
fis-5273	184	89	50	50	NUM
fis-5273	184	90	51	51	NUM
fis-5273	184	91	52	52	NUM
fis-5273	184	92	53	53	NUM
fis-5273	184	93	54	54	NUM
fis-5273	184	94	55	55	NUM
fis-5273	184	95	41	41	NUM
fis-5273	184	96	28	28	NUM
fis-5273	184	97	14	14	NUM
fis-5273	184	98	49	49	NUM
fis-5273	184	99	table	table	NOUN
fis-5273	184	100	3	3	NUM
fis-5273	184	101	:	:	PUNCT
fis-5273	184	102	measurement	measurement	NOUN
fis-5273	184	103	setup	setup	NOUN
fis-5273	184	104	.	.	PUNCT
fis-5273	185	1	figure	figure	VERB
fis-5273	185	2	4	4	NUM
fis-5273	185	3	:	:	PUNCT
fis-5273	185	4	the	the	DET
fis-5273	185	5	stabilization	stabilization	NOUN
fis-5273	185	6	diagram	diagram	NOUN
fis-5273	185	7	.	.	PUNCT
fis-5273	186	1	d.	d.	PROPN
fis-5273	186	2	h.	h.	PROPN
fis-5273	186	3	nguyen	nguyen	PROPN
fis-5273	186	4	et	et	PROPN
fis-5273	186	5	alii	alii	PROPN
fis-5273	186	6	,	,	PUNCT
fis-5273	186	7	fracture	fracture	ADJ
fis-5273	186	8	and	and	CCONJ
fis-5273	186	9	structural	structural	ADJ
fis-5273	186	10	integrity	integrity	NOUN
fis-5273	186	11	,	,	PUNCT
fis-5273	186	12	72	72	NUM
fis-5273	186	13	(	(	PUNCT
fis-5273	186	14	2025	2025	NUM
fis-5273	186	15	)	)	PUNCT
fis-5273	186	16	121	121	NUM
fis-5273	186	17	-	-	SYM
fis-5273	186	18	136	136	NUM
fis-5273	186	19	;	;	PUNCT
fis-5273	186	20	doi	doi	NOUN
fis-5273	186	21	:	:	PUNCT
fis-5273	186	22	10.3221	10.3221	NUM
fis-5273	186	23	/	/	SYM
fis-5273	186	24	igf	igf	PROPN
fis-5273	186	25	-	-	ADJ
fis-5273	186	26	esis.72.09	esis.72.09	PROPN
fis-5273	186	27	128	128	NUM
fis-5273	186	28			NOUN
fis-5273	186	29	digital	digital	ADJ
fis-5273	186	30	twin	twin	ADJ
fis-5273	186	31	model	model	NOUN
fis-5273	186	32	of	of	ADP
fis-5273	186	33	the	the	DET
fis-5273	186	34	slab	slab	NOUN
fis-5273	186	35	the	the	DET
fis-5273	186	36	fe	fe	PROPN
fis-5273	186	37	model	model	NOUN
fis-5273	186	38	of	of	ADP
fis-5273	186	39	the	the	DET
fis-5273	186	40	slab	slab	NOUN
fis-5273	186	41	was	be	AUX
fis-5273	186	42	created	create	VERB
fis-5273	186	43	by	by	ADP
fis-5273	186	44	using	use	VERB
fis-5273	186	45	sap2000	sap2000	ADJ
fis-5273	186	46	software	software	NOUN
fis-5273	186	47	.	.	PUNCT
fis-5273	187	1	the	the	DET
fis-5273	187	2	area	area	NOUN
fis-5273	187	3	section	section	NOUN
fis-5273	187	4	is	be	AUX
fis-5273	187	5	used	use	VERB
fis-5273	187	6	to	to	PART
fis-5273	187	7	model	model	VERB
fis-5273	187	8	the	the	DET
fis-5273	187	9	slab	slab	NOUN
fis-5273	187	10	.	.	PUNCT
fis-5273	188	1	fig	fig	NOUN
fis-5273	188	2	.	.	PUNCT
fis-5273	189	1	5	5	NUM
fis-5273	189	2	illustrates	illustrate	VERB
fis-5273	189	3	the	the	DET
fis-5273	189	4	fe	fe	PROPN
fis-5273	189	5	model	model	NOUN
fis-5273	189	6	of	of	ADP
fis-5273	189	7	the	the	DET
fis-5273	189	8	slab	slab	NOUN
fis-5273	189	9	.	.	PUNCT
fis-5273	190	1	the	the	DET
fis-5273	190	2	slab	slab	NOUN
fis-5273	190	3	is	be	AUX
fis-5273	190	4	high	high	ADJ
fis-5273	190	5	0.0432	0.0432	NUM
fis-5273	190	6	m	m	NOUN
fis-5273	190	7	,	,	PUNCT
fis-5273	190	8	width	width	VERB
fis-5273	190	9	0.5	0.5	NUM
fis-5273	190	10	m	m	NOUN
fis-5273	190	11	,	,	PUNCT
fis-5273	190	12	and	and	CCONJ
fis-5273	190	13	length	length	NOUN
fis-5273	190	14	3.5	3.5	NUM
fis-5273	190	15	m.	m.	NOUN
fis-5273	190	16	the	the	DET
fis-5273	190	17	boundary	boundary	ADJ
fis-5273	190	18	conditions	condition	NOUN
fis-5273	190	19	are	be	AUX
fis-5273	190	20	set	set	VERB
fis-5273	190	21	to	to	ADP
fis-5273	190	22	simple	simple	ADJ
fis-5273	190	23	supported	support	VERB
fis-5273	190	24	where	where	SCONJ
fis-5273	190	25	the	the	DET
fis-5273	190	26	distance	distance	NOUN
fis-5273	190	27	between	between	ADP
fis-5273	190	28	two	two	NUM
fis-5273	190	29	supports	support	NOUN
fis-5273	190	30	is	be	AUX
fis-5273	190	31	3	3	NUM
fis-5273	190	32	m.	m.	NOUN
fis-5273	190	33	the	the	DET
fis-5273	190	34	fe	fe	NOUN
fis-5273	190	35	model	model	NOUN
fis-5273	190	36	is	be	AUX
fis-5273	190	37	meshed	mesh	VERB
fis-5273	190	38	with	with	ADP
fis-5273	190	39	10000	10000	NUM
fis-5273	190	40	area	area	NOUN
fis-5273	190	41	elements	element	NOUN
fis-5273	190	42	.	.	PUNCT
fis-5273	191	1	this	this	DET
fis-5273	191	2	model	model	NOUN
fis-5273	191	3	contains	contain	VERB
fis-5273	191	4	information	information	NOUN
fis-5273	191	5	on	on	ADP
fis-5273	191	6	the	the	DET
fis-5273	191	7	structures	structure	NOUN
fis-5273	191	8	and	and	CCONJ
fis-5273	191	9	will	will	AUX
fis-5273	191	10	be	be	AUX
fis-5273	191	11	updated	update	VERB
fis-5273	191	12	using	use	VERB
fis-5273	191	13	optimization	optimization	NOUN
fis-5273	191	14	algorithms	algorithm	NOUN
fis-5273	191	15	.	.	PUNCT
fis-5273	192	1	the	the	DET
fis-5273	192	2	grey	grey	PROPN
fis-5273	192	3	wolf	wolf	PROPN
fis-5273	192	4	optimization	optimization	NOUN
fis-5273	192	5	(	(	PUNCT
fis-5273	192	6	gwo	gwo	NOUN
fis-5273	192	7	)	)	PUNCT
fis-5273	192	8	and	and	CCONJ
fis-5273	192	9	cuckoo	cuckoo	NOUN
fis-5273	192	10	search	search	NOUN
fis-5273	192	11	algorithms	algorithm	NOUN
fis-5273	192	12	are	be	AUX
fis-5273	192	13	adopted	adopt	VERB
fis-5273	192	14	to	to	PART
fis-5273	192	15	update	update	VERB
fis-5273	192	16	the	the	DET
fis-5273	192	17	physical	physical	ADJ
fis-5273	192	18	model	model	NOUN
fis-5273	192	19	of	of	ADP
fis-5273	192	20	the	the	DET
fis-5273	192	21	bridge	bridge	NOUN
fis-5273	192	22	.	.	PUNCT
fis-5273	193	1	the	the	DET
fis-5273	193	2	objective	objective	ADJ
fis-5273	193	3	function	function	NOUN
fis-5273	193	4	is	be	AUX
fis-5273	193	5	the	the	DET
fis-5273	193	6	first	first	ADJ
fis-5273	193	7	four	four	NUM
fis-5273	193	8	natural	natural	ADJ
fis-5273	193	9	frequencies	frequency	NOUN
fis-5273	193	10	of	of	ADP
fis-5273	193	11	the	the	DET
fis-5273	193	12	physical	physical	ADJ
fis-5273	193	13	model	model	NOUN
fis-5273	193	14	and	and	CCONJ
fis-5273	193	15	fe	fe	PROPN
fis-5273	193	16	model	model	NOUN
fis-5273	193	17	.	.	PUNCT
fis-5273	194	1			PRON
fis-5273	194	2			INTJ
fis-5273	194	3			NOUN
fis-5273	194	4			NOUN
fis-5273	194	5			PROPN
fis-5273	194	6			NOUN
fis-5273	194	7			VERB
fis-5273	194	8			PROPN
fis-5273	194	9			PROPN
fis-5273	194	10			X
fis-5273	194	11	exp	exp	X
fis-5273	194	12	fe	fe	X
fis-5273	194	13	i	i	PRON
fis-5273	194	14	exp	exp	VERB
fis-5273	194	15	f	f	PROPN
fis-5273	194	16	f	f	PROPN
fis-5273	194	17	objective	objective	ADJ
fis-5273	194	18	function	function	NOUN
fis-5273	194	19	f	f	PROPN
fis-5273	194	20	2	2	NUM
fis-5273	194	21	4	4	NUM
fis-5273	194	22	1	1	NUM
fis-5273	194	23	100	100	NUM
fis-5273	194	24	(	(	PUNCT
fis-5273	194	25	11	11	NUM
fis-5273	194	26	)	)	PUNCT
fis-5273	194	27	where	where	SCONJ
fis-5273	194	28	:	:	PUNCT
fis-5273	194	29	ffe	ffe	PROPN
fis-5273	194	30	,	,	PUNCT
fis-5273	194	31	fexp	fexp	NOUN
fis-5273	194	32	:	:	PUNCT
fis-5273	194	33	the	the	DET
fis-5273	194	34	natural	natural	ADJ
fis-5273	194	35	frequencies	frequency	NOUN
fis-5273	194	36	of	of	ADP
fis-5273	194	37	the	the	DET
fis-5273	194	38	numerical	numerical	ADJ
fis-5273	194	39	model	model	NOUN
fis-5273	194	40	and	and	CCONJ
fis-5273	194	41	experimental	experimental	ADJ
fis-5273	194	42	model	model	NOUN
fis-5273	194	43	,	,	PUNCT
fis-5273	194	44	respectively	respectively	ADV
fis-5273	194	45	.	.	PUNCT
fis-5273	195	1	gwo	gwo	PROPN
fis-5273	195	2	mimics	mimic	VERB
fis-5273	195	3	the	the	DET
fis-5273	195	4	leadership	leadership	NOUN
fis-5273	195	5	hierarchy	hierarchy	NOUN
fis-5273	195	6	and	and	CCONJ
fis-5273	195	7	hunting	hunt	VERB
fis-5273	195	8	mechanism	mechanism	NOUN
fis-5273	195	9	of	of	ADP
fis-5273	195	10	grey	grey	ADJ
fis-5273	195	11	wolves	wolf	NOUN
fis-5273	195	12	(	(	PUNCT
fis-5273	195	13	canis	canis	NOUN
fis-5273	195	14	lupus	lupus	NOUN
fis-5273	195	15	)	)	PUNCT
fis-5273	195	16	in	in	ADP
fis-5273	195	17	nature	nature	NOUN
fis-5273	195	18	.	.	PUNCT
fis-5273	196	1	cuckoo	cuckoo	NOUN
fis-5273	196	2	search	search	NOUN
fis-5273	196	3	algorithms	algorithm	NOUN
fis-5273	196	4	mimic	mimic	VERB
fis-5273	196	5	the	the	DET
fis-5273	196	6	brood	brood	NOUN
fis-5273	196	7	parasitism	parasitism	NOUN
fis-5273	196	8	of	of	ADP
fis-5273	196	9	some	some	DET
fis-5273	196	10	cuckoo	cuckoo	NOUN
fis-5273	196	11	species	specie	NOUN
fis-5273	196	12	.	.	PUNCT
fis-5273	197	1	many	many	ADJ
fis-5273	197	2	works	work	NOUN
fis-5273	197	3	are	be	AUX
fis-5273	197	4	successful	successful	ADJ
fis-5273	197	5	in	in	ADP
fis-5273	197	6	using	use	VERB
fis-5273	197	7	these	these	DET
fis-5273	197	8	optimizations	optimization	NOUN
fis-5273	197	9	to	to	PART
fis-5273	197	10	update	update	VERB
fis-5273	197	11	the	the	DET
fis-5273	197	12	civil	civil	ADJ
fis-5273	197	13	structures	structure	NOUN
fis-5273	197	14	model	model	NOUN
fis-5273	197	15	based	base	VERB
fis-5273	197	16	on	on	ADP
fis-5273	197	17	dynamic	dynamic	ADJ
fis-5273	197	18	characteristics	characteristic	NOUN
fis-5273	197	19	[	[	X
fis-5273	197	20	10,16	10,16	NUM
fis-5273	197	21	]	]	PUNCT
fis-5273	197	22	.	.	PUNCT
fis-5273	198	1	fe	fe	PROPN
fis-5273	198	2	model	model	NOUN
fis-5273	198	3	combined	combine	VERB
fis-5273	198	4	with	with	ADP
fis-5273	198	5	machine	machine	NOUN
fis-5273	198	6	learning	learn	VERB
fis-5273	198	7	algorithms	algorithm	NOUN
fis-5273	198	8	and	and	CCONJ
fis-5273	198	9	sensor	sensor	NOUN
fis-5273	198	10	networks	network	NOUN
fis-5273	198	11	can	can	AUX
fis-5273	198	12	be	be	AUX
fis-5273	198	13	used	use	VERB
fis-5273	198	14	as	as	ADP
fis-5273	198	15	a	a	DET
fis-5273	198	16	digital	digital	ADJ
fis-5273	198	17	reconstruction	reconstruction	NOUN
fis-5273	198	18	of	of	ADP
fis-5273	198	19	a	a	DET
fis-5273	198	20	real	real	ADJ
fis-5273	198	21	-	-	PUNCT
fis-5273	198	22	life	life	NOUN
fis-5273	198	23	structure	structure	NOUN
fis-5273	198	24	which	which	PRON
fis-5273	198	25	can	can	AUX
fis-5273	198	26	integrate	integrate	VERB
fis-5273	198	27	the	the	DET
fis-5273	198	28	sensor	sensor	NOUN
fis-5273	198	29	data	datum	NOUN
fis-5273	198	30	to	to	PART
fis-5273	198	31	get	get	VERB
fis-5273	198	32	the	the	DET
fis-5273	198	33	structural	structural	ADJ
fis-5273	198	34	health	health	NOUN
fis-5273	198	35	information	information	NOUN
fis-5273	198	36	.	.	PUNCT
fis-5273	199	1	sap	sap	PROPN
fis-5273	199	2	matlab	matlab	PROPN
fis-5273	199	3	toolbox	toolbox	NOUN
fis-5273	199	4	is	be	AUX
fis-5273	199	5	responsible	responsible	ADJ
fis-5273	199	6	for	for	ADP
fis-5273	199	7	evaluating	evaluate	VERB
fis-5273	199	8	objective	objective	ADJ
fis-5273	199	9	functions	function	NOUN
fis-5273	199	10	based	base	VERB
fis-5273	199	11	on	on	ADP
fis-5273	199	12	the	the	DET
fis-5273	199	13	fe	fe	NOUN
fis-5273	199	14	results	result	NOUN
fis-5273	199	15	and	and	CCONJ
fis-5273	199	16	updating	update	VERB
fis-5273	199	17	the	the	DET
fis-5273	199	18	uncertainty	uncertainty	NOUN
fis-5273	199	19	parameters	parameter	NOUN
fis-5273	199	20	[	[	X
fis-5273	199	21	11	11	NUM
fis-5273	199	22	]	]	PUNCT
fis-5273	199	23	.	.	PUNCT
fis-5273	200	1	two	two	NUM
fis-5273	200	2	linear	linear	ADJ
fis-5273	200	3	parameters	parameter	NOUN
fis-5273	200	4	considered	consider	VERB
fis-5273	200	5	to	to	PART
fis-5273	200	6	update	update	VERB
fis-5273	200	7	are	be	AUX
fis-5273	200	8	the	the	DET
fis-5273	200	9	uhpc	uhpc	NOUN
fis-5273	200	10	material	material	NOUN
fis-5273	200	11	characteristics	characteristic	NOUN
fis-5273	200	12	:	:	PUNCT
fis-5273	200	13	modulus	modulus	NOUN
fis-5273	200	14	of	of	ADP
fis-5273	200	15	elasticity	elasticity	NOUN
fis-5273	200	16	(	(	PUNCT
fis-5273	200	17	e	e	NOUN
fis-5273	200	18	)	)	PUNCT
fis-5273	200	19	and	and	CCONJ
fis-5273	200	20	density	density	NOUN
fis-5273	200	21	(	(	PUNCT
fis-5273	200	22			NOUN
fis-5273	200	23	)	)	PUNCT
fis-5273	200	24	.	.	PUNCT
fis-5273	201	1	fig	fig	NOUN
fis-5273	201	2	.	.	PUNCT
fis-5273	202	1	6	6	NUM
fis-5273	202	2	presents	present	NOUN
fis-5273	202	3	that	that	PRON
fis-5273	202	4	the	the	DET
fis-5273	202	5	value	value	NOUN
fis-5273	202	6	of	of	ADP
fis-5273	202	7	objective	objective	ADJ
fis-5273	202	8	functions	function	NOUN
fis-5273	202	9	reduces	reduce	VERB
fis-5273	202	10	when	when	SCONJ
fis-5273	202	11	the	the	DET
fis-5273	202	12	number	number	NOUN
fis-5273	202	13	of	of	ADP
fis-5273	202	14	iterations	iteration	NOUN
fis-5273	202	15	increases	increase	NOUN
fis-5273	202	16	.	.	PUNCT
fis-5273	203	1	after	after	ADP
fis-5273	203	2	20	20	NUM
fis-5273	203	3	iterations	iteration	NOUN
fis-5273	203	4	,	,	PUNCT
fis-5273	203	5	the	the	DET
fis-5273	203	6	objective	objective	ADJ
fis-5273	203	7	functions	function	NOUN
fis-5273	203	8	calculated	calculate	VERB
fis-5273	203	9	by	by	ADP
fis-5273	203	10	cuckoo	cuckoo	NOUN
fis-5273	203	11	algorithms	algorithm	NOUN
fis-5273	203	12	do	do	AUX
fis-5273	203	13	n’t	not	PART
fis-5273	203	14	change	change	VERB
fis-5273	203	15	.	.	PUNCT
fis-5273	204	1	whereas	whereas	SCONJ
fis-5273	204	2	the	the	DET
fis-5273	204	3	gwo	gwo	PROPN
fis-5273	204	4	optimization	optimization	NOUN
fis-5273	204	5	algorithm	algorithm	NOUN
fis-5273	204	6	needs	need	VERB
fis-5273	204	7	50	50	NUM
fis-5273	204	8	interactions	interaction	NOUN
fis-5273	204	9	before	before	SCONJ
fis-5273	204	10	the	the	DET
fis-5273	204	11	value	value	NOUN
fis-5273	204	12	of	of	ADP
fis-5273	204	13	the	the	DET
fis-5273	204	14	objective	objective	ADJ
fis-5273	204	15	function	function	NOUN
fis-5273	204	16	becomes	become	VERB
fis-5273	204	17	stable	stable	ADJ
fis-5273	204	18	.	.	PUNCT
fis-5273	205	1	the	the	DET
fis-5273	205	2	values	value	NOUN
fis-5273	205	3	of	of	ADP
fis-5273	205	4	e	e	NOUN
fis-5273	205	5	and	and	CCONJ
fis-5273	205	6			NOUN
fis-5273	205	7	are	be	AUX
fis-5273	205	8	shown	show	VERB
fis-5273	205	9	in	in	ADP
fis-5273	205	10	tab	tab	NOUN
fis-5273	205	11	.	.	PUNCT
fis-5273	206	1	4	4	X
fis-5273	206	2	.	.	X
fis-5273	206	3	the	the	DET
fis-5273	206	4	upper	upper	ADJ
fis-5273	206	5	and	and	CCONJ
fis-5273	206	6	lower	low	ADJ
fis-5273	206	7	boundary	boundary	NOUN
fis-5273	206	8	of	of	ADP
fis-5273	206	9	e	e	PROPN
fis-5273	206	10	and	and	CCONJ
fis-5273	206	11			NOUN
fis-5273	206	12	used	use	VERB
fis-5273	206	13	in	in	ADP
fis-5273	206	14	both	both	DET
fis-5273	206	15	algorithms	algorithm	NOUN
fis-5273	206	16	are	be	AUX
fis-5273	206	17	the	the	DET
fis-5273	206	18	same	same	ADJ
fis-5273	206	19	.	.	PUNCT
fis-5273	207	1	the	the	DET
fis-5273	207	2	difference	difference	NOUN
fis-5273	207	3	between	between	ADP
fis-5273	207	4	gwo	gwo	PROPN
fis-5273	207	5	and	and	CCONJ
fis-5273	207	6	cuckoo	cuckoo	NOUN
fis-5273	207	7	search	search	NOUN
fis-5273	207	8	is	be	AUX
fis-5273	207	9	small	small	ADJ
fis-5273	207	10	.	.	PUNCT
fis-5273	208	1	after	after	ADP
fis-5273	208	2	updating	update	VERB
fis-5273	208	3	,	,	PUNCT
fis-5273	208	4	the	the	DET
fis-5273	208	5	difference	difference	NOUN
fis-5273	208	6	between	between	ADP
fis-5273	208	7	the	the	DET
fis-5273	208	8	natural	natural	ADJ
fis-5273	208	9	frequencies	frequency	NOUN
fis-5273	208	10	of	of	ADP
fis-5273	208	11	the	the	DET
fis-5273	208	12	digital	digital	ADJ
fis-5273	208	13	twin	twin	NOUN
fis-5273	208	14	and	and	CCONJ
fis-5273	208	15	the	the	DET
fis-5273	208	16	physical	physical	ADJ
fis-5273	208	17	model	model	NOUN
fis-5273	208	18	is	be	AUX
fis-5273	208	19	below	below	ADP
fis-5273	208	20	10	10	NUM
fis-5273	208	21	%	%	NOUN
fis-5273	208	22	(	(	PUNCT
fis-5273	208	23	tab	tab	NOUN
fis-5273	208	24	.	.	NOUN
fis-5273	208	25	5	5	NUM
fis-5273	208	26	)	)	PUNCT
fis-5273	208	27	.	.	PUNCT
fis-5273	209	1	the	the	DET
fis-5273	209	2	fe	fe	PROPN
fis-5273	209	3	model	model	NOUN
fis-5273	209	4	of	of	ADP
fis-5273	209	5	the	the	DET
fis-5273	209	6	slab	slab	NOUN
fis-5273	209	7	is	be	AUX
fis-5273	209	8	successfully	successfully	ADV
fis-5273	209	9	updated	update	VERB
fis-5273	209	10	.	.	PUNCT
fis-5273	210	1	fig	fig	NOUN
fis-5273	210	2	.	.	PUNCT
fis-5273	211	1	7	7	NUM
fis-5273	211	2	presents	present	VERB
fis-5273	211	3	the	the	DET
fis-5273	211	4	mode	mode	NOUN
fis-5273	211	5	shape	shape	NOUN
fis-5273	211	6	of	of	ADP
fis-5273	211	7	the	the	DET
fis-5273	211	8	fe	fe	PROPN
fis-5273	211	9	model	model	NOUN
fis-5273	211	10	of	of	ADP
fis-5273	211	11	the	the	DET
fis-5273	211	12	uhpc	uhpc	NOUN
fis-5273	211	13	slab	slab	NOUN
fis-5273	211	14	.	.	PUNCT
fis-5273	212	1	this	this	DET
fis-5273	212	2	fe	fe	PROPN
fis-5273	212	3	model	model	NOUN
fis-5273	212	4	is	be	AUX
fis-5273	212	5	then	then	ADV
fis-5273	212	6	used	use	VERB
fis-5273	212	7	as	as	ADP
fis-5273	212	8	the	the	DET
fis-5273	212	9	digital	digital	ADJ
fis-5273	212	10	twin	twin	ADJ
fis-5273	212	11	model	model	NOUN
fis-5273	212	12	to	to	PART
fis-5273	212	13	induce	induce	VERB
fis-5273	212	14	damages	damage	NOUN
fis-5273	212	15	,	,	PUNCT
fis-5273	212	16	creating	create	VERB
fis-5273	212	17	a	a	DET
fis-5273	212	18	training	training	NOUN
fis-5273	212	19	data	datum	NOUN
fis-5273	212	20	set	set	VERB
fis-5273	212	21	for	for	ADP
fis-5273	212	22	neural	neural	ADJ
fis-5273	212	23	networks	network	NOUN
fis-5273	212	24	.	.	PUNCT
fis-5273	213	1	figure	figure	VERB
fis-5273	213	2	5	5	NUM
fis-5273	213	3	:	:	PUNCT
fis-5273	213	4	the	the	DET
fis-5273	213	5	fe	fe	PROPN
fis-5273	213	6	model	model	NOUN
fis-5273	213	7	of	of	ADP
fis-5273	213	8	the	the	DET
fis-5273	213	9	uhpc	uhpc	NOUN
fis-5273	213	10	slab	slab	NOUN
fis-5273	213	11	figure	figure	NOUN
fis-5273	213	12	6	6	NUM
fis-5273	213	13	:	:	PUNCT
fis-5273	213	14	the	the	DET
fis-5273	213	15	value	value	NOUN
fis-5273	213	16	of	of	ADP
fis-5273	213	17	objective	objective	ADJ
fis-5273	213	18	function	function	NOUN
fis-5273	213	19	versus	versus	ADP
fis-5273	213	20	number	number	NOUN
fis-5273	213	21	of	of	ADP
fis-5273	213	22	iterations	iteration	NOUN
fis-5273	214	1	d.	d.	PROPN
fis-5273	214	2	h.	h.	PROPN
fis-5273	214	3	nguyen	nguyen	PROPN
fis-5273	214	4	et	et	PROPN
fis-5273	214	5	alii	alii	PROPN
fis-5273	214	6	,	,	PUNCT
fis-5273	214	7	fracture	fracture	ADJ
fis-5273	214	8	and	and	CCONJ
fis-5273	214	9	structural	structural	ADJ
fis-5273	214	10	integrity	integrity	NOUN
fis-5273	214	11	,	,	PUNCT
fis-5273	214	12	72	72	NUM
fis-5273	214	13	(	(	PUNCT
fis-5273	214	14	2025	2025	NUM
fis-5273	214	15	)	)	PUNCT
fis-5273	214	16	121	121	NUM
fis-5273	214	17	-	-	SYM
fis-5273	214	18	136	136	NUM
fis-5273	214	19	;	;	PUNCT
fis-5273	214	20	doi	doi	NOUN
fis-5273	214	21	:	:	PUNCT
fis-5273	214	22	10.3221	10.3221	NUM
fis-5273	214	23	/	/	SYM
fis-5273	214	24	igf	igf	PROPN
fis-5273	214	25	-	-	ADJ
fis-5273	214	26	esis.72.09	esis.72.09	PROPN
fis-5273	214	27	129	129	NUM
fis-5273	214	28	upper	upper	ADJ
fis-5273	214	29	boundary	boundary	NOUN
fis-5273	214	30	lower	low	ADJ
fis-5273	214	31	boundary	boundary	ADJ
fis-5273	214	32	updated	update	VERB
fis-5273	214	33	value	value	NOUN
fis-5273	214	34	e	e	NOUN
fis-5273	214	35	 	 	SPACE
fis-5273	214	36	(	(	PUNCT
fis-5273	214	37	gpa	gpa	PROPN
fis-5273	214	38	)	)	PUNCT
fis-5273	214	39	3	3	NUM
fis-5273	214	40	 	 	SPACE
fis-5273	214	41	(	(	PUNCT
fis-5273	214	42	kg	kg	PROPN
fis-5273	214	43	/	/	SYM
fis-5273	214	44	m	m	NOUN
fis-5273	214	45	)	)	PUNCT
fis-5273	215	1	e	e	X
fis-5273	215	2	 	 	SPACE
fis-5273	215	3	(	(	PUNCT
fis-5273	215	4	gpa	gpa	PROPN
fis-5273	215	5	)	)	PUNCT
fis-5273	215	6	3	3	NUM
fis-5273	215	7	 	 	SPACE
fis-5273	215	8	(	(	PUNCT
fis-5273	215	9	kg	kg	PROPN
fis-5273	215	10	/	/	SYM
fis-5273	215	11	m	m	NOUN
fis-5273	215	12	)	)	PUNCT
fis-5273	215	13	e	e	X
fis-5273	215	14	 	 	SPACE
fis-5273	215	15	(	(	PUNCT
fis-5273	215	16	gpa	gpa	PROPN
fis-5273	215	17	)	)	PUNCT
fis-5273	215	18	3	3	NUM
fis-5273	215	19	 	 	SPACE
fis-5273	215	20	(	(	PUNCT
fis-5273	215	21	kg	kg	PROPN
fis-5273	215	22	/	/	SYM
fis-5273	215	23	m	m	NOUN
fis-5273	215	24	)	)	PUNCT
fis-5273	215	25	cuckoo	cuckoo	NOUN
fis-5273	215	26	45	45	NUM
fis-5273	215	27	2350	2350	NUM
fis-5273	215	28	50	50	NUM
fis-5273	215	29	2450	2450	NUM
fis-5273	215	30	47.58	47.58	NUM
fis-5273	215	31	2428	2428	NUM
fis-5273	215	32	gwo	gwo	PROPN
fis-5273	215	33	45	45	NUM
fis-5273	215	34	2350	2350	NUM
fis-5273	215	35	50	50	NUM
fis-5273	215	36	2450	2450	NUM
fis-5273	215	37	47.62	47.62	NUM
fis-5273	215	38	2430	2430	NUM
fis-5273	215	39	differences	difference	NOUN
fis-5273	215	40	0.08	0.08	NUM
fis-5273	215	41	%	%	NOUN
fis-5273	215	42	0.08	0.08	NUM
fis-5273	215	43	%	%	NOUN
fis-5273	215	44	table	table	NOUN
fis-5273	215	45	4	4	NUM
fis-5273	215	46	:	:	PUNCT
fis-5273	215	47	uncertainty	uncertainty	NOUN
fis-5273	215	48	parameters	parameter	NOUN
fis-5273	215	49	.	.	PUNCT
fis-5273	216	1	no	no	DET
fis-5273	216	2	mode	mode	NOUN
fis-5273	216	3	frequency	frequency	NOUN
fis-5273	216	4	relative	relative	ADJ
fis-5273	216	5	error	error	NOUN
fis-5273	216	6	experimental	experimental	ADJ
fis-5273	216	7	data	data	NOUN
fis-5273	216	8	model	model	NOUN
fis-5273	216	9	updating	update	VERB
fis-5273	216	10	cuckoo	cuckoo	NOUN
fis-5273	216	11	model	model	NOUN
fis-5273	216	12	updating	update	VERB
fis-5273	216	13	gwo	gwo	PROPN
fis-5273	216	14	cuckoo	cuckoo	NOUN
fis-5273	216	15	(	(	PUNCT
fis-5273	216	16	%	%	INTJ
fis-5273	216	17	)	)	PUNCT
fis-5273	216	18	gwo	gwo	PROPN
fis-5273	216	19	(	(	PUNCT
fis-5273	216	20	%	%	NOUN
fis-5273	216	21	)	)	PUNCT
fis-5273	216	22	1	1	NUM
fis-5273	216	23	1st	1st	NOUN
fis-5273	216	24	vertical	vertical	ADJ
fis-5273	216	25	bending	bend	VERB
fis-5273	216	26	9.49	9.49	NUM
fis-5273	216	27	9.53	9.53	NUM
fis-5273	216	28	9.53	9.53	NUM
fis-5273	216	29	0.42	0.42	NUM
fis-5273	216	30	0.42	0.42	NUM
fis-5273	216	31	2	2	NUM
fis-5273	216	32	2nd	2nd	ADJ
fis-5273	216	33	vertical	vertical	ADJ
fis-5273	216	34	bending	bend	VERB
fis-5273	216	35	41.46	41.46	NUM
fis-5273	216	36	37.76	37.76	NUM
fis-5273	216	37	37.76	37.76	NUM
fis-5273	216	38	-8.92	-8.92	ADV
fis-5273	216	39	-8.92	-8.92	NOUN
fis-5273	216	40	3	3	NUM
fis-5273	216	41	3rd	3rd	ADJ
fis-5273	216	42	vertical	vertical	ADJ
fis-5273	216	43	bending	bend	VERB
fis-5273	216	44	86.83	86.83	NUM
fis-5273	216	45	83.35	83.35	NUM
fis-5273	216	46	83.34	83.34	NUM
fis-5273	216	47	-4.01	-4.01	NOUN
fis-5273	216	48	-4.02	-4.02	NUM
fis-5273	216	49	4	4	NUM
fis-5273	216	50	4th	4th	ADJ
fis-5273	216	51	vertical	vertical	ADJ
fis-5273	216	52	bending	bend	VERB
fis-5273	216	53	141.41	141.41	NUM
fis-5273	216	54	143.07	143.07	NUM
fis-5273	216	55	143.06	143.06	NUM
fis-5273	216	56	1.17	1.17	NUM
fis-5273	216	57	1.17	1.17	NUM
fis-5273	216	58	table	table	NOUN
fis-5273	216	59	5	5	NUM
fis-5273	216	60	:	:	PUNCT
fis-5273	216	61	natural	natural	ADJ
fis-5273	216	62	frequencies	frequency	NOUN
fis-5273	216	63	based	base	VERB
fis-5273	216	64	on	on	ADP
fis-5273	216	65	numerical	numerical	ADJ
fis-5273	216	66	and	and	CCONJ
fis-5273	216	67	experimental	experimental	ADJ
fis-5273	216	68	models	model	NOUN
fis-5273	216	69	.	.	PUNCT
fis-5273	217	1	(	(	PUNCT
fis-5273	217	2	a	a	X
fis-5273	217	3	)	)	PUNCT
fis-5273	217	4	1st	1st	ADJ
fis-5273	217	5	vertical	vertical	ADJ
fis-5273	217	6	bending	bending	NOUN
fis-5273	217	7	(	(	PUNCT
fis-5273	217	8	b	b	NOUN
fis-5273	217	9	)	)	PUNCT
fis-5273	217	10	2nd	2nd	ADJ
fis-5273	217	11	vertical	vertical	ADJ
fis-5273	217	12	bending	bending	NOUN
fis-5273	217	13	(	(	PUNCT
fis-5273	217	14	c	c	NOUN
fis-5273	217	15	)	)	PUNCT
fis-5273	217	16	3rd	3rd	ADJ
fis-5273	217	17	vertical	vertical	ADJ
fis-5273	217	18	bending	bending	NOUN
fis-5273	217	19	(	(	PUNCT
fis-5273	217	20	d	d	NOUN
fis-5273	217	21	)	)	PUNCT
fis-5273	217	22	4th	4th	ADJ
fis-5273	217	23	vertical	vertical	ADJ
fis-5273	217	24	bending	bend	VERB
fis-5273	217	25	figure	figure	NOUN
fis-5273	217	26	7	7	NUM
fis-5273	217	27	:	:	PUNCT
fis-5273	217	28	the	the	DET
fis-5273	217	29	four	four	NUM
fis-5273	217	30	first	first	ADJ
fis-5273	217	31	mode	mode	NOUN
fis-5273	217	32	shapes	shape	NOUN
fis-5273	217	33	of	of	ADP
fis-5273	217	34	the	the	DET
fis-5273	217	35	uhpc	uhpc	NOUN
fis-5273	217	36	slab	slab	NOUN
fis-5273	217	37	.	.	PUNCT
fis-5273	218	1			NOUN
fis-5273	218	2	proposed	propose	VERB
fis-5273	218	3	digital	digital	ADJ
fis-5273	218	4	twin	twin	ADJ
fis-5273	218	5	method	method	NOUN
fis-5273	218	6	for	for	ADP
fis-5273	218	7	damage	damage	NOUN
fis-5273	218	8	detection	detection	NOUN
fis-5273	218	9	to	to	PART
fis-5273	218	10	predict	predict	VERB
fis-5273	218	11	the	the	DET
fis-5273	218	12	location	location	NOUN
fis-5273	218	13	of	of	ADP
fis-5273	218	14	damage	damage	NOUN
fis-5273	218	15	and	and	CCONJ
fis-5273	218	16	its	its	PRON
fis-5273	218	17	severity	severity	NOUN
fis-5273	218	18	in	in	ADP
fis-5273	218	19	slab	slab	NOUN
fis-5273	218	20	structures	structure	NOUN
fis-5273	218	21	,	,	PUNCT
fis-5273	218	22	the	the	DET
fis-5273	218	23	neural	neural	ADJ
fis-5273	218	24	networks	network	NOUN
fis-5273	218	25	are	be	AUX
fis-5273	218	26	trained	train	VERB
fis-5273	218	27	using	use	VERB
fis-5273	218	28	tensorflow	tensorflow	NOUN
fis-5273	218	29	.	.	PUNCT
fis-5273	219	1	the	the	DET
fis-5273	219	2	details	detail	NOUN
fis-5273	219	3	of	of	ADP
fis-5273	219	4	the	the	DET
fis-5273	219	5	input	input	NOUN
fis-5273	219	6	dataset	dataset	NOUN
fis-5273	219	7	will	will	AUX
fis-5273	219	8	be	be	AUX
fis-5273	219	9	discussed	discuss	VERB
fis-5273	219	10	below	below	ADV
fis-5273	219	11	.	.	PUNCT
fis-5273	220	1	after	after	ADP
fis-5273	220	2	training	training	NOUN
fis-5273	220	3	,	,	PUNCT
fis-5273	220	4	both	both	PRON
fis-5273	220	5	traditional	traditional	ADJ
fis-5273	220	6	cnn	cnn	NOUN
fis-5273	220	7	and	and	CCONJ
fis-5273	220	8	mobilenetv2	mobilenetv2	PROPN
fis-5273	220	9	can	can	AUX
fis-5273	220	10	predict	predict	VERB
fis-5273	220	11	the	the	DET
fis-5273	220	12	damage	damage	NOUN
fis-5273	220	13	location	location	NOUN
fis-5273	220	14	and	and	CCONJ
fis-5273	220	15	severity	severity	NOUN
fis-5273	220	16	with	with	ADP
fis-5273	220	17	high	high	ADJ
fis-5273	220	18	accuracy	accuracy	NOUN
fis-5273	220	19	.	.	PUNCT
fis-5273	221	1	however	however	ADV
fis-5273	221	2	,	,	PUNCT
fis-5273	221	3	after	after	ADP
fis-5273	221	4	training	training	NOUN
fis-5273	221	5	,	,	PUNCT
fis-5273	221	6	the	the	DET
fis-5273	221	7	mobilenetv2	mobilenetv2	PROPN
fis-5273	221	8	is	be	AUX
fis-5273	221	9	fine	fine	ADV
fis-5273	221	10	-	-	PUNCT
fis-5273	221	11	tuned	tune	VERB
fis-5273	221	12	,	,	PUNCT
fis-5273	221	13	and	and	CCONJ
fis-5273	221	14	the	the	DET
fis-5273	221	15	weights	weight	NOUN
fis-5273	221	16	are	be	AUX
fis-5273	221	17	saved	save	VERB
fis-5273	221	18	for	for	ADP
fis-5273	221	19	use	use	NOUN
fis-5273	221	20	as	as	ADP
fis-5273	221	21	a	a	DET
fis-5273	221	22	pre	pre	ADJ
fis-5273	221	23	-	-	ADJ
fis-5273	221	24	trained	train	VERB
fis-5273	221	25	model	model	NOUN
fis-5273	221	26	.	.	PUNCT
fis-5273	222	1	the	the	DET
fis-5273	222	2	digital	digital	ADJ
fis-5273	222	3	twin	twin	ADJ
fis-5273	222	4	model	model	NOUN
fis-5273	222	5	of	of	ADP
fis-5273	222	6	the	the	DET
fis-5273	222	7	slab	slab	NOUN
fis-5273	222	8	is	be	AUX
fis-5273	222	9	used	use	VERB
fis-5273	222	10	to	to	PART
fis-5273	222	11	create	create	VERB
fis-5273	222	12	the	the	DET
fis-5273	222	13	dataset	dataset	NOUN
fis-5273	222	14	for	for	ADP
fis-5273	222	15	training	training	NOUN
fis-5273	222	16	.	.	PUNCT
fis-5273	223	1	the	the	DET
fis-5273	223	2	slab	slab	NOUN
fis-5273	223	3	is	be	AUX
fis-5273	223	4	divided	divide	VERB
fis-5273	223	5	into	into	ADP
fis-5273	223	6	20	20	NUM
fis-5273	223	7	locations	location	NOUN
fis-5273	223	8	,	,	PUNCT
fis-5273	223	9	each	each	DET
fis-5273	223	10	location	location	NOUN
fis-5273	223	11	subdivided	subdivide	VERB
fis-5273	223	12	into	into	ADP
fis-5273	223	13	50	50	NUM
fis-5273	223	14	finite	finite	ADJ
fis-5273	223	15	elements	element	NOUN
fis-5273	223	16	(	(	PUNCT
fis-5273	223	17	fig	fig	NOUN
fis-5273	223	18	.	.	PUNCT
fis-5273	224	1	8)	8)	NUM
fis-5273	224	2	.	.	PUNCT
fis-5273	224	3	damages	damage	NOUN
fis-5273	224	4	are	be	AUX
fis-5273	224	5	introduced	introduce	VERB
fis-5273	224	6	in	in	ADP
fis-5273	224	7	each	each	DET
fis-5273	224	8	location	location	NOUN
fis-5273	224	9	,	,	PUNCT
fis-5273	224	10	varying	vary	VERB
fis-5273	224	11	from	from	ADP
fis-5273	224	12	2	2	NUM
fis-5273	224	13	%	%	NOUN
fis-5273	224	14	to	to	PART
fis-5273	224	15	10	10	NUM
fis-5273	224	16	%	%	NOUN
fis-5273	224	17	.	.	PUNCT
fis-5273	225	1	three	three	NUM
fis-5273	225	2	levels	level	NOUN
fis-5273	225	3	of	of	ADP
fis-5273	225	4	severity	severity	NOUN
fis-5273	225	5	are	be	AUX
fis-5273	225	6	introduced	introduce	VERB
fis-5273	225	7	in	in	ADP
fis-5273	225	8	this	this	DET
fis-5273	225	9	work	work	NOUN
fis-5273	225	10	.	.	PUNCT
fis-5273	226	1	level	level	NOUN
fis-5273	226	2	1	1	NUM
fis-5273	226	3	,	,	PUNCT
fis-5273	226	4	the	the	DET
fis-5273	226	5	severity	severity	NOUN
fis-5273	226	6	of	of	ADP
fis-5273	226	7	the	the	DET
fis-5273	226	8	damage	damage	NOUN
fis-5273	226	9	in	in	ADP
fis-5273	226	10	each	each	DET
fis-5273	226	11	location	location	NOUN
fis-5273	226	12	is	be	AUX
fis-5273	226	13	below	below	ADP
fis-5273	226	14	4	4	NUM
fis-5273	226	15	%	%	NOUN
fis-5273	226	16	.	.	PUNCT
fis-5273	227	1	level	level	NOUN
fis-5273	227	2	2	2	NUM
fis-5273	227	3	,	,	PUNCT
fis-5273	227	4	and	and	CCONJ
fis-5273	227	5	level	level	NOUN
fis-5273	227	6	3	3	NUM
fis-5273	227	7	the	the	DET
fis-5273	227	8	severity	severity	NOUN
fis-5273	227	9	is	be	AUX
fis-5273	227	10	below	below	ADP
fis-5273	227	11	6	6	NUM
fis-5273	227	12	%	%	NOUN
fis-5273	227	13	and	and	CCONJ
fis-5273	227	14	10	10	NUM
fis-5273	227	15	%	%	NOUN
fis-5273	227	16	,	,	PUNCT
fis-5273	227	17	respectively	respectively	ADV
fis-5273	227	18	.	.	PUNCT
fis-5273	228	1	the	the	DET
fis-5273	228	2	slab	slab	NOUN
fis-5273	228	3	is	be	AUX
fis-5273	228	4	subjected	subject	VERB
fis-5273	228	5	to	to	ADP
fis-5273	228	6	concentrated	concentrate	VERB
fis-5273	228	7	static	static	ADJ
fis-5273	228	8	loads	load	NOUN
fis-5273	228	9	.	.	PUNCT
fis-5273	229	1	the	the	DET
fis-5273	229	2	location	location	NOUN
fis-5273	229	3	and	and	CCONJ
fis-5273	229	4	magnitude	magnitude	NOUN
fis-5273	229	5	are	be	AUX
fis-5273	229	6	varied	varied	ADJ
fis-5273	229	7	on	on	ADP
fis-5273	229	8	the	the	DET
fis-5273	229	9	slab	slab	NOUN
fis-5273	229	10	and	and	CCONJ
fis-5273	229	11	randomly	randomly	ADV
fis-5273	229	12	.	.	PUNCT
fis-5273	230	1	details	detail	NOUN
fis-5273	230	2	of	of	ADP
fis-5273	230	3	each	each	DET
fis-5273	230	4	load	load	NOUN
fis-5273	230	5	case	case	NOUN
fis-5273	230	6	are	be	AUX
fis-5273	230	7	shown	show	VERB
fis-5273	230	8	in	in	ADP
fis-5273	230	9	fig	fig	NOUN
fis-5273	230	10	.	.	PUNCT
fis-5273	231	1	9	9	X
fis-5273	231	2	.	.	X
fis-5273	231	3	the	the	DET
fis-5273	231	4	defection	defection	NOUN
fis-5273	231	5	shape	shape	NOUN
fis-5273	231	6	of	of	ADP
fis-5273	231	7	the	the	DET
fis-5273	231	8	slab	slab	NOUN
fis-5273	231	9	under	under	ADP
fis-5273	231	10	the	the	DET
fis-5273	231	11	static	static	ADJ
fis-5273	231	12	forces	force	NOUN
fis-5273	231	13	(	(	PUNCT
fis-5273	231	14	load	load	NOUN
fis-5273	231	15	case	case	NOUN
fis-5273	231	16	3	3	NUM
fis-5273	231	17	)	)	PUNCT
fis-5273	231	18	with	with	ADP
fis-5273	231	19	and	and	CCONJ
fis-5273	231	20	without	without	ADP
fis-5273	231	21	damage	damage	NOUN
fis-5273	231	22	is	be	AUX
fis-5273	231	23	shown	show	VERB
fis-5273	231	24	in	in	ADP
fis-5273	231	25	fig	fig	NOUN
fis-5273	231	26	.	.	PUNCT
fis-5273	232	1	10	10	NUM
fis-5273	232	2	.	.	PUNCT
fis-5273	233	1	the	the	DET
fis-5273	233	2	deflection	deflection	NOUN
fis-5273	233	3	differences	difference	NOUN
fis-5273	233	4	between	between	ADP
fis-5273	233	5	damaged	damaged	ADJ
fis-5273	233	6	and	and	CCONJ
fis-5273	233	7	intact	intact	ADJ
fis-5273	233	8	slab	slab	NOUN
fis-5273	233	9	ca	can	AUX
fis-5273	233	10	n’t	not	PART
fis-5273	233	11	be	be	AUX
fis-5273	233	12	identified	identify	VERB
fis-5273	233	13	.	.	PUNCT
fis-5273	234	1	to	to	PART
fis-5273	234	2	create	create	VERB
fis-5273	234	3	the	the	DET
fis-5273	234	4	data	datum	NOUN
fis-5273	234	5	training	training	NOUN
fis-5273	234	6	set	set	NOUN
fis-5273	234	7	,	,	PUNCT
fis-5273	234	8	two	two	NUM
fis-5273	234	9	-	-	PUNCT
fis-5273	234	10	dimensional	dimensional	ADJ
fis-5273	234	11	dwt	dwt	NOUN
fis-5273	234	12	is	be	AUX
fis-5273	234	13	applied	apply	VERB
fis-5273	234	14	to	to	ADP
fis-5273	234	15	the	the	DET
fis-5273	234	16	response	response	NOUN
fis-5273	234	17	defection	defection	NOUN
fis-5273	234	18	for	for	ADP
fis-5273	234	19	each	each	DET
fis-5273	234	20	load	load	NOUN
fis-5273	234	21	case	case	NOUN
fis-5273	234	22	,	,	PUNCT
fis-5273	234	23	and	and	CCONJ
fis-5273	234	24	the	the	DET
fis-5273	234	25	diagonal	diagonal	ADJ
fis-5273	234	26	wavelets	wavelet	NOUN
fis-5273	234	27	are	be	AUX
fis-5273	234	28	extracted	extract	VERB
fis-5273	234	29	(	(	PUNCT
fis-5273	234	30	fig	fig	NOUN
fis-5273	234	31	.	.	PUNCT
fis-5273	234	32	11	11	NUM
fis-5273	234	33	)	)	PUNCT
fis-5273	234	34	.	.	PUNCT
fis-5273	235	1	combining	combine	VERB
fis-5273	235	2	the	the	DET
fis-5273	235	3	diagonal	diagonal	ADJ
fis-5273	235	4	wavelets	wavelet	NOUN
fis-5273	235	5	of	of	ADP
fis-5273	235	6	8	8	NUM
fis-5273	235	7	load	load	NOUN
fis-5273	235	8	cases	case	NOUN
fis-5273	235	9	into	into	ADP
fis-5273	235	10	one	one	NUM
fis-5273	235	11	image	image	NOUN
fis-5273	235	12	,	,	PUNCT
fis-5273	235	13	fig	fig	NOUN
fis-5273	235	14	.	.	PUNCT
fis-5273	236	1	12	12	NUM
fis-5273	236	2	are	be	AUX
fis-5273	236	3	plotted	plot	VERB
fis-5273	236	4	.	.	PUNCT
fis-5273	237	1	fig	fig	NOUN
fis-5273	237	2	.	.	PUNCT
fis-5273	238	1	12	12	NUM
fis-5273	238	2	a	a	DET
fis-5273	238	3	,	,	PUNCT
fis-5273	238	4	b	b	NOUN
fis-5273	238	5	,	,	PUNCT
fis-5273	238	6	c	c	PROPN
fis-5273	238	7	are	be	AUX
fis-5273	238	8	the	the	DET
fis-5273	238	9	input	input	NOUN
fis-5273	238	10	images	image	NOUN
fis-5273	238	11	of	of	ADP
fis-5273	238	12	damage	damage	NOUN
fis-5273	238	13	severity	severity	NOUN
fis-5273	238	14	at	at	ADP
fis-5273	238	15	levels	level	NOUN
fis-5273	238	16	1	1	NUM
fis-5273	238	17	,	,	PUNCT
fis-5273	238	18	2	2	NUM
fis-5273	238	19	,	,	PUNCT
fis-5273	238	20	3	3	NUM
fis-5273	238	21	,	,	PUNCT
fis-5273	238	22	respectively	respectively	ADV
fis-5273	238	23	.	.	PUNCT
fis-5273	239	1	1000	1000	NUM
fis-5273	239	2	images	image	NOUN
fis-5273	239	3	of	of	ADP
fis-5273	239	4	damage	damage	NOUN
fis-5273	239	5	severity	severity	NOUN
fis-5273	239	6	at	at	ADP
fis-5273	239	7	level	level	NOUN
fis-5273	239	8	1	1	NUM
fis-5273	239	9	are	be	AUX
fis-5273	239	10	used	use	VERB
fis-5273	239	11	to	to	PART
fis-5273	239	12	train	train	VERB
fis-5273	239	13	the	the	DET
fis-5273	239	14	network	network	NOUN
fis-5273	239	15	for	for	PART
fis-5273	239	16	identify	identify	VERB
fis-5273	239	17	the	the	DET
fis-5273	239	18	location	location	NOUN
fis-5273	239	19	.	.	PUNCT
fis-5273	240	1	then	then	ADV
fis-5273	240	2	the	the	DET
fis-5273	240	3	network	network	NOUN
fis-5273	240	4	is	be	AUX
fis-5273	240	5	saved	save	VERB
fis-5273	240	6	and	and	CCONJ
fis-5273	240	7	used	use	VERB
fis-5273	240	8	as	as	ADP
fis-5273	240	9	a	a	DET
fis-5273	240	10	pre	pre	ADJ
fis-5273	240	11	-	-	ADJ
fis-5273	240	12	trained	trained	ADJ
fis-5273	240	13	network	network	NOUN
fis-5273	240	14	to	to	PART
fis-5273	240	15	predict	predict	VERB
fis-5273	240	16	the	the	DET
fis-5273	240	17	d.	d.	PROPN
fis-5273	240	18	h.	h.	PROPN
fis-5273	240	19	nguyen	nguyen	PROPN
fis-5273	240	20	et	et	PROPN
fis-5273	240	21	alii	alii	PROPN
fis-5273	240	22	,	,	PUNCT
fis-5273	240	23	fracture	fracture	ADJ
fis-5273	240	24	and	and	CCONJ
fis-5273	240	25	structural	structural	ADJ
fis-5273	240	26	integrity	integrity	NOUN
fis-5273	240	27	,	,	PUNCT
fis-5273	240	28	72	72	NUM
fis-5273	240	29	(	(	PUNCT
fis-5273	240	30	2025	2025	NUM
fis-5273	240	31	)	)	PUNCT
fis-5273	240	32	121	121	NUM
fis-5273	240	33	-	-	SYM
fis-5273	240	34	136	136	NUM
fis-5273	240	35	;	;	PUNCT
fis-5273	240	36	doi	doi	NOUN
fis-5273	240	37	:	:	PUNCT
fis-5273	240	38	10.3221	10.3221	NUM
fis-5273	240	39	/	/	SYM
fis-5273	240	40	igf	igf	PROPN
fis-5273	240	41	-	-	ADJ
fis-5273	240	42	esis.72.09	esis.72.09	ADJ
fis-5273	240	43	130	130	NUM
fis-5273	240	44	location	location	NOUN
fis-5273	240	45	of	of	ADP
fis-5273	240	46	damage	damage	NOUN
fis-5273	240	47	at	at	ADP
fis-5273	240	48	level	level	NOUN
fis-5273	240	49	2	2	NUM
fis-5273	240	50	and	and	CCONJ
fis-5273	240	51	3	3	NUM
fis-5273	240	52	.	.	NOUN
fis-5273	240	53	1200	1200	NUM
fis-5273	240	54	images	image	NOUN
fis-5273	240	55	of	of	ADP
fis-5273	240	56	damage	damage	NOUN
fis-5273	240	57	at	at	ADP
fis-5273	240	58	level	level	NOUN
fis-5273	240	59	1	1	NUM
fis-5273	240	60	,	,	PUNCT
fis-5273	240	61	2	2	NUM
fis-5273	240	62	,	,	PUNCT
fis-5273	240	63	3	3	NUM
fis-5273	240	64	are	be	AUX
fis-5273	240	65	used	use	VERB
fis-5273	240	66	to	to	PART
fis-5273	240	67	train	train	VERB
fis-5273	240	68	the	the	DET
fis-5273	240	69	network	network	NOUN
fis-5273	240	70	for	for	ADP
fis-5273	240	71	damage	damage	NOUN
fis-5273	240	72	severity	severity	NOUN
fis-5273	240	73	.	.	PUNCT
fis-5273	241	1	each	each	DET
fis-5273	241	2	image	image	NOUN
fis-5273	241	3	in	in	ADP
fis-5273	241	4	the	the	DET
fis-5273	241	5	dataset	dataset	NOUN
fis-5273	241	6	is	be	AUX
fis-5273	241	7	a	a	DET
fis-5273	241	8	224x224x3	224x224x3	NUM
fis-5273	241	9	rgb	rgb	PROPN
fis-5273	241	10	image	image	NOUN
fis-5273	241	11	.	.	PUNCT
fis-5273	242	1	tab	tab	NOUN
fis-5273	242	2	.	.	PUNCT
fis-5273	243	1	6	6	NUM
fis-5273	243	2	details	detail	NOUN
fis-5273	243	3	the	the	DET
fis-5273	243	4	dataset	dataset	NOUN
fis-5273	243	5	used	use	VERB
fis-5273	243	6	in	in	ADP
fis-5273	243	7	the	the	DET
fis-5273	243	8	research	research	NOUN
fis-5273	243	9	.	.	PUNCT
fis-5273	244	1	figure	figure	NOUN
fis-5273	244	2	8	8	NUM
fis-5273	244	3	:	:	PUNCT
fis-5273	244	4	the	the	DET
fis-5273	244	5	mesh	mesh	NOUN
fis-5273	244	6	model	model	NOUN
fis-5273	244	7	of	of	ADP
fis-5273	244	8	the	the	DET
fis-5273	244	9	slab	slab	NOUN
fis-5273	244	10	figure	figure	NOUN
fis-5273	244	11	9	9	NUM
fis-5273	244	12	:	:	PUNCT
fis-5273	244	13	the	the	DET
fis-5273	244	14	location	location	NOUN
fis-5273	244	15	of	of	ADP
fis-5273	244	16	static	static	ADJ
fis-5273	244	17	load	load	NOUN
fis-5273	244	18	cases	case	NOUN
fis-5273	244	19	figure	figure	VERB
fis-5273	244	20	10	10	NUM
fis-5273	244	21	:	:	PUNCT
fis-5273	244	22	the	the	DET
fis-5273	244	23	damaged	damage	VERB
fis-5273	244	24	slab	slab	NOUN
fis-5273	244	25	defection	defection	NOUN
fis-5273	244	26	due	due	ADP
fis-5273	244	27	to	to	ADP
fis-5273	244	28	static	static	ADJ
fis-5273	244	29	load	load	NOUN
fis-5273	244	30	(	(	PUNCT
fis-5273	244	31	load	load	NOUN
fis-5273	244	32	case	case	NOUN
fis-5273	244	33	3	3	NUM
fis-5273	244	34	)	)	PUNCT
fis-5273	244	35	.	.	PUNCT
fis-5273	245	1	figure	figure	VERB
fis-5273	245	2	11	11	NUM
fis-5273	245	3	:	:	PUNCT
fis-5273	245	4	the	the	DET
fis-5273	245	5	damaged	damage	VERB
fis-5273	245	6	slab	slab	NOUN
fis-5273	245	7	defection	defection	NOUN
fis-5273	245	8	analyzed	analyze	VERB
fis-5273	245	9	with	with	ADP
fis-5273	245	10	wavelet	wavelet	NOUN
fis-5273	245	11	transform	transform	NOUN
fis-5273	245	12	(	(	PUNCT
fis-5273	245	13	load	load	NOUN
fis-5273	245	14	case	case	NOUN
fis-5273	245	15	3	3	NUM
fis-5273	245	16	)	)	PUNCT
fis-5273	245	17	.	.	PUNCT
fis-5273	246	1	d.	d.	PROPN
fis-5273	246	2	h.	h.	PROPN
fis-5273	246	3	nguyen	nguyen	PROPN
fis-5273	246	4	et	et	PROPN
fis-5273	246	5	alii	alii	PROPN
fis-5273	246	6	,	,	PUNCT
fis-5273	246	7	fracture	fracture	ADJ
fis-5273	246	8	and	and	CCONJ
fis-5273	246	9	structural	structural	ADJ
fis-5273	246	10	integrity	integrity	NOUN
fis-5273	246	11	,	,	PUNCT
fis-5273	246	12	72	72	NUM
fis-5273	246	13	(	(	PUNCT
fis-5273	246	14	2025	2025	NUM
fis-5273	246	15	)	)	PUNCT
fis-5273	246	16	121	121	NUM
fis-5273	246	17	-	-	SYM
fis-5273	246	18	136	136	NUM
fis-5273	246	19	;	;	PUNCT
fis-5273	246	20	doi	doi	NOUN
fis-5273	246	21	:	:	PUNCT
fis-5273	246	22	10.3221	10.3221	NUM
fis-5273	246	23	/	/	SYM
fis-5273	246	24	igf	igf	PROPN
fis-5273	246	25	-	-	ADJ
fis-5273	246	26	esis.72.09	esis.72.09	PROPN
fis-5273	246	27	131	131	NUM
fis-5273	246	28	a.	a.	NOUN
fis-5273	246	29	level	level	NOUN
fis-5273	246	30	1	1	NUM
fis-5273	246	31	b.	b.	NOUN
fis-5273	246	32	level	level	NOUN
fis-5273	246	33	2	2	NUM
fis-5273	246	34	c.	c.	NOUN
fis-5273	246	35	level	level	NOUN
fis-5273	246	36	3	3	NUM
fis-5273	246	37	figure	figure	NOUN
fis-5273	246	38	12	12	NUM
fis-5273	246	39	:	:	PUNCT
fis-5273	246	40	the	the	DET
fis-5273	246	41	input	input	NOUN
fis-5273	246	42	dataset	dataset	VERB
fis-5273	246	43	for	for	ADP
fis-5273	246	44	all	all	DET
fis-5273	246	45	load	load	NOUN
fis-5273	246	46	cases	case	NOUN
fis-5273	246	47	(	(	PUNCT
fis-5273	246	48	damaged	damage	VERB
fis-5273	246	49	at	at	ADP
fis-5273	246	50	a6	a6	NOUN
fis-5273	246	51	)	)	PUNCT
fis-5273	246	52	.	.	PUNCT
fis-5273	246	53	.	.	PUNCT
fis-5273	247	1	name	name	NOUN
fis-5273	247	2	samples	sample	NOUN
fis-5273	247	3	classes	class	NOUN
fis-5273	247	4	size	size	NOUN
fis-5273	247	5	location	location	NOUN
fis-5273	247	6	1000	1000	NUM
fis-5273	247	7	20	20	NUM
fis-5273	247	8	224x224x3	224x224x3	NUM
fis-5273	247	9	severity	severity	NOUN
fis-5273	247	10	1200	1200	NUM
fis-5273	247	11	3	3	NUM
fis-5273	247	12	224x224x3	224x224x3	NUM
fis-5273	247	13	table	table	NOUN
fis-5273	247	14	6	6	NUM
fis-5273	247	15	:	:	PUNCT
fis-5273	247	16	the	the	DET
fis-5273	247	17	datasets	dataset	NOUN
fis-5273	247	18	used	use	VERB
fis-5273	247	19	in	in	ADP
fis-5273	247	20	the	the	DET
fis-5273	247	21	research	research	NOUN
fis-5273	247	22	.	.	PUNCT
fis-5273	248	1	in	in	ADP
fis-5273	248	2	this	this	DET
fis-5273	248	3	research	research	NOUN
fis-5273	248	4	,	,	PUNCT
fis-5273	248	5	we	we	PRON
fis-5273	248	6	propose	propose	VERB
fis-5273	248	7	to	to	PART
fis-5273	248	8	use	use	VERB
fis-5273	248	9	both	both	DET
fis-5273	248	10	cnn	cnn	NOUN
fis-5273	248	11	with	with	ADP
fis-5273	248	12	a	a	DET
fis-5273	248	13	traditional	traditional	ADJ
fis-5273	248	14	structure	structure	NOUN
fis-5273	248	15	built	build	VERB
fis-5273	248	16	manually	manually	ADV
fis-5273	248	17	and	and	CCONJ
fis-5273	248	18	mobilenetv2	mobilenetv2	PROPN
fis-5273	248	19	for	for	ADP
fis-5273	248	20	classification	classification	NOUN
fis-5273	248	21	.	.	PUNCT
fis-5273	249	1	the	the	DET
fis-5273	249	2	structure	structure	NOUN
fis-5273	249	3	of	of	ADP
fis-5273	249	4	cnn	cnn	PROPN
fis-5273	249	5	and	and	CCONJ
fis-5273	249	6	mobilenetv2	mobilenetv2	PROPN
fis-5273	249	7	are	be	AUX
fis-5273	249	8	shown	show	VERB
fis-5273	249	9	in	in	ADP
fis-5273	249	10	fig	fig	NOUN
fis-5273	249	11	.	.	PUNCT
fis-5273	250	1	13	13	NUM
fis-5273	250	2	,	,	PUNCT
fis-5273	250	3	and	and	CCONJ
fis-5273	250	4	fig	fig	NOUN
fis-5273	250	5	.	.	PUNCT
fis-5273	251	1	14	14	NUM
fis-5273	251	2	,	,	PUNCT
fis-5273	251	3	respectively	respectively	ADV
fis-5273	251	4	.	.	PUNCT
fis-5273	252	1	traditional	traditional	ADJ
fis-5273	252	2	cnn	cnn	PROPN
fis-5273	252	3	was	be	AUX
fis-5273	252	4	built	build	VERB
fis-5273	252	5	with	with	ADP
fis-5273	252	6	three	three	NUM
fis-5273	252	7	convolution	convolution	NOUN
fis-5273	252	8	layers	layer	NOUN
fis-5273	252	9	,	,	PUNCT
fis-5273	252	10	a	a	DET
fis-5273	252	11	pooling	pool	VERB
fis-5273	252	12	layer	layer	NOUN
fis-5273	252	13	,	,	PUNCT
fis-5273	252	14	and	and	CCONJ
fis-5273	252	15	a	a	DET
fis-5273	252	16	dropout	dropout	NOUN
fis-5273	252	17	layer	layer	NOUN
fis-5273	252	18	to	to	PART
fis-5273	252	19	avoid	avoid	VERB
fis-5273	252	20	overfitting	overfitte	VERB
fis-5273	252	21	.	.	PUNCT
fis-5273	253	1	the	the	DET
fis-5273	253	2	number	number	NOUN
fis-5273	253	3	of	of	ADP
fis-5273	253	4	features	feature	NOUN
fis-5273	253	5	extracted	extract	VERB
fis-5273	253	6	in	in	ADP
fis-5273	253	7	the	the	DET
fis-5273	253	8	first	first	ADJ
fis-5273	253	9	,	,	PUNCT
fis-5273	253	10	second	second	ADJ
fis-5273	253	11	,	,	PUNCT
fis-5273	253	12	and	and	CCONJ
fis-5273	253	13	third	third	ADJ
fis-5273	253	14	layers	layer	NOUN
fis-5273	253	15	is	be	AUX
fis-5273	253	16	16	16	NUM
fis-5273	253	17	,	,	PUNCT
fis-5273	253	18	32	32	NUM
fis-5273	253	19	,	,	PUNCT
fis-5273	253	20	and	and	CCONJ
fis-5273	253	21	64	64	NUM
fis-5273	253	22	,	,	PUNCT
fis-5273	253	23	respectively	respectively	ADV
fis-5273	253	24	.	.	PUNCT
fis-5273	254	1	the	the	DET
fis-5273	254	2	pooling	pool	VERB
fis-5273	254	3	layers	layer	NOUN
fis-5273	254	4	summarise	summarise	VERB
fis-5273	254	5	the	the	DET
fis-5273	254	6	features	feature	NOUN
fis-5273	254	7	using	use	VERB
fis-5273	254	8	the	the	DET
fis-5273	254	9	average	average	NOUN
fis-5273	254	10	,	,	PUNCT
fis-5273	254	11	and	and	CCONJ
fis-5273	254	12	the	the	DET
fis-5273	254	13	last	last	ADJ
fis-5273	254	14	layer	layer	NOUN
fis-5273	254	15	helps	help	VERB
fis-5273	254	16	to	to	PART
fis-5273	254	17	fully	fully	ADV
fis-5273	254	18	connect	connect	VERB
fis-5273	254	19	layers	layer	NOUN
fis-5273	254	20	of	of	ADP
fis-5273	254	21	neurons	neuron	NOUN
fis-5273	254	22	.	.	PUNCT
fis-5273	255	1	mobilenetv2	mobilenetv2	PROPN
fis-5273	255	2	is	be	AUX
fis-5273	255	3	used	use	VERB
fis-5273	255	4	as	as	ADP
fis-5273	255	5	a	a	DET
fis-5273	255	6	pre	pre	ADJ
fis-5273	255	7	-	-	ADJ
fis-5273	255	8	trained	train	VERB
fis-5273	255	9	neural	neural	ADJ
fis-5273	255	10	network	network	NOUN
fis-5273	255	11	.	.	PUNCT
fis-5273	256	1	at	at	ADP
fis-5273	256	2	the	the	DET
fis-5273	256	3	end	end	NOUN
fis-5273	256	4	of	of	ADP
fis-5273	256	5	the	the	DET
fis-5273	256	6	mobilenetv2	mobilenetv2	PROPN
fis-5273	256	7	stage	stage	NOUN
fis-5273	256	8	,	,	PUNCT
fis-5273	256	9	the	the	DET
fis-5273	256	10	feature	feature	NOUN
fis-5273	256	11	map	map	NOUN
fis-5273	256	12	matrix	matrix	NOUN
fis-5273	256	13	is	be	AUX
fis-5273	256	14	flattened	flatten	VERB
fis-5273	256	15	and	and	CCONJ
fis-5273	256	16	fed	feed	VERB
fis-5273	256	17	into	into	ADP
fis-5273	256	18	fully	fully	ADV
fis-5273	256	19	connected	connect	VERB
fis-5273	256	20	layers	layer	NOUN
fis-5273	256	21	,	,	PUNCT
fis-5273	256	22	called	call	VERB
fis-5273	256	23	the	the	DET
fis-5273	256	24	classified	classified	ADJ
fis-5273	256	25	stage	stage	NOUN
fis-5273	256	26	.	.	PUNCT
fis-5273	257	1	finally	finally	ADV
fis-5273	257	2	,	,	PUNCT
fis-5273	257	3	the	the	DET
fis-5273	257	4	softmax	softmax	NOUN
fis-5273	257	5	activation	activation	NOUN
fis-5273	257	6	function	function	NOUN
fis-5273	257	7	is	be	AUX
fis-5273	257	8	applied	apply	VERB
fis-5273	257	9	to	to	PART
fis-5273	257	10	classify	classify	VERB
fis-5273	257	11	output	output	NOUN
fis-5273	257	12	such	such	ADJ
fis-5273	257	13	as	as	ADP
fis-5273	257	14	damage	damage	NOUN
fis-5273	257	15	location	location	NOUN
fis-5273	257	16	or	or	CCONJ
fis-5273	257	17	severity	severity	NOUN
fis-5273	257	18	(	(	PUNCT
fis-5273	257	19	fig	fig	NOUN
fis-5273	257	20	.	.	PUNCT
fis-5273	258	1	14	14	NUM
fis-5273	258	2	)	)	PUNCT
fis-5273	258	3	.	.	PUNCT
fis-5273	259	1	tab	tab	NOUN
fis-5273	259	2	.	.	PUNCT
fis-5273	260	1	7	7	NUM
fis-5273	260	2	summarizes	summarize	NOUN
fis-5273	260	3	the	the	DET
fis-5273	260	4	total	total	ADJ
fis-5273	260	5	number	number	NOUN
fis-5273	260	6	of	of	ADP
fis-5273	260	7	parameters	parameter	NOUN
fis-5273	260	8	and	and	CCONJ
fis-5273	260	9	trained	train	VERB
fis-5273	260	10	parameters	parameter	NOUN
fis-5273	260	11	in	in	ADP
fis-5273	260	12	traditional	traditional	ADJ
fis-5273	260	13	cnn	cnn	PROPN
fis-5273	260	14	and	and	CCONJ
fis-5273	260	15	mobilenetv2	mobilenetv2	PROPN
fis-5273	260	16	.	.	PUNCT
fis-5273	261	1	the	the	DET
fis-5273	261	2	mobilenetv2	mobilenetv2	PROPN
fis-5273	261	3	has	have	VERB
fis-5273	261	4	fewer	few	ADJ
fis-5273	261	5	parameters	parameter	NOUN
fis-5273	261	6	than	than	ADP
fis-5273	261	7	traditional	traditional	ADJ
fis-5273	261	8	cnn	cnn	PROPN
fis-5273	261	9	for	for	ADP
fis-5273	261	10	both	both	DET
fis-5273	261	11	tasks	task	NOUN
fis-5273	261	12	.	.	PUNCT
fis-5273	262	1	d.	d.	PROPN
fis-5273	262	2	h.	h.	PROPN
fis-5273	262	3	nguyen	nguyen	PROPN
fis-5273	262	4	et	et	PROPN
fis-5273	262	5	alii	alii	PROPN
fis-5273	262	6	,	,	PUNCT
fis-5273	262	7	fracture	fracture	ADJ
fis-5273	262	8	and	and	CCONJ
fis-5273	262	9	structural	structural	ADJ
fis-5273	262	10	integrity	integrity	NOUN
fis-5273	262	11	,	,	PUNCT
fis-5273	262	12	72	72	NUM
fis-5273	262	13	(	(	PUNCT
fis-5273	262	14	2025	2025	NUM
fis-5273	262	15	)	)	PUNCT
fis-5273	262	16	121	121	NUM
fis-5273	262	17	-	-	SYM
fis-5273	262	18	136	136	NUM
fis-5273	262	19	;	;	PUNCT
fis-5273	262	20	doi	doi	NOUN
fis-5273	262	21	:	:	PUNCT
fis-5273	262	22	10.3221	10.3221	NUM
fis-5273	262	23	/	/	SYM
fis-5273	262	24	igf	igf	PROPN
fis-5273	262	25	-	-	ADJ
fis-5273	262	26	esis.72.09	esis.72.09	ADJ
fis-5273	262	27	132	132	NUM
fis-5273	262	28	figure	figure	NOUN
fis-5273	262	29	13	13	NUM
fis-5273	262	30	:	:	PUNCT
fis-5273	262	31	the	the	DET
fis-5273	262	32	proposed	propose	VERB
fis-5273	262	33	traditional	traditional	ADJ
fis-5273	262	34	cnn	cnn	PROPN
fis-5273	262	35	architecture	architecture	NOUN
fis-5273	262	36	figure	figure	NOUN
fis-5273	262	37	14	14	NUM
fis-5273	262	38	:	:	PUNCT
fis-5273	262	39	the	the	DET
fis-5273	262	40	proposed	propose	VERB
fis-5273	262	41	mobilenetv2	mobilenetv2	PROPN
fis-5273	262	42	network	network	NOUN
fis-5273	262	43	architecture	architecture	NOUN
fis-5273	262	44	name	name	NOUN
fis-5273	262	45	total	total	ADJ
fis-5273	262	46	parameters	parameter	NOUN
fis-5273	262	47	trainable	trainable	ADJ
fis-5273	262	48	parameter	parameter	NOUN
fis-5273	262	49	epoch	epoch	PROPN
fis-5273	262	50	location	location	PROPN
fis-5273	262	51	traditional	traditional	ADJ
fis-5273	262	52	cnn	cnn	PROPN
fis-5273	262	53	3311412	3311412	NUM
fis-5273	262	54	3311412	3311412	NUM
fis-5273	262	55	100	100	NUM
fis-5273	262	56	mobilenetv2	mobilenetv2	NOUN
fis-5273	262	57	2283604	2283604	NUM
fis-5273	262	58	25620	25620	NUM
fis-5273	262	59	100	100	NUM
fis-5273	262	60	severity	severity	NOUN
fis-5273	262	61	traditional	traditional	ADJ
fis-5273	262	62	cnn	cnn	PROPN
fis-5273	262	63	3309219	3309219	NUM
fis-5273	262	64	3309219	3309219	NUM
fis-5273	262	65	30	30	NUM
fis-5273	262	66	mobilenetv2	mobilenetv2	NOUN
fis-5273	262	67	2261827	2261827	NUM
fis-5273	262	68	3843	3843	NUM
fis-5273	262	69	30	30	NUM
fis-5273	262	70	table	table	NOUN
fis-5273	262	71	7	7	NUM
fis-5273	262	72	:	:	PUNCT
fis-5273	262	73	information	information	NOUN
fis-5273	262	74	of	of	ADP
fis-5273	262	75	the	the	DET
fis-5273	262	76	proposed	propose	VERB
fis-5273	262	77	neural	neural	ADJ
fis-5273	262	78	network	network	NOUN
fis-5273	262	79	architecture	architecture	NOUN
fis-5273	262	80			NOUN
fis-5273	262	81	results	result	VERB
fis-5273	262	82			ADP
fis-5273	262	83	damage	damage	NOUN
fis-5273	262	84	location	location	NOUN
fis-5273	262	85	the	the	DET
fis-5273	262	86	model	model	NOUN
fis-5273	262	87	is	be	AUX
fis-5273	262	88	trained	train	VERB
fis-5273	262	89	using	use	VERB
fis-5273	262	90	tensorflow	tensorflow	NOUN
fis-5273	262	91	,	,	PUNCT
fis-5273	262	92	16gpu	16gpu	PROPN
fis-5273	262	93	,	,	PUNCT
fis-5273	262	94	and	and	CCONJ
fis-5273	262	95	16	16	NUM
fis-5273	262	96	batch	batch	NOUN
fis-5273	262	97	sizes	size	NOUN
fis-5273	262	98	are	be	AUX
fis-5273	262	99	used	use	VERB
fis-5273	262	100	.	.	PUNCT
fis-5273	263	1	the	the	DET
fis-5273	263	2	dataset	dataset	NOUN
fis-5273	263	3	contains	contain	VERB
fis-5273	263	4	1000	1000	NUM
fis-5273	263	5	images	image	NOUN
fis-5273	263	6	analysed	analyse	VERB
fis-5273	263	7	from	from	ADP
fis-5273	263	8	1000	1000	NUM
fis-5273	263	9	damage	damage	NOUN
fis-5273	263	10	scenarios	scenario	NOUN
fis-5273	263	11	in	in	ADP
fis-5273	263	12	which	which	DET
fis-5273	263	13	severity	severity	NOUN
fis-5273	263	14	2	2	NUM
fis-5273	263	15	%	%	NOUN
fis-5273	263	16	is	be	AUX
fis-5273	263	17	used	use	VERB
fis-5273	263	18	.	.	PUNCT
fis-5273	264	1	80	80	NUM
fis-5273	264	2	%	%	NOUN
fis-5273	264	3	of	of	ADP
fis-5273	264	4	the	the	DET
fis-5273	264	5	dataset	dataset	NOUN
fis-5273	264	6	is	be	AUX
fis-5273	264	7	used	use	VERB
fis-5273	264	8	for	for	ADP
fis-5273	264	9	training	training	NOUN
fis-5273	264	10	and	and	CCONJ
fis-5273	264	11	20	20	NUM
fis-5273	264	12	%	%	NOUN
fis-5273	264	13	is	be	AUX
fis-5273	264	14	used	use	VERB
fis-5273	264	15	for	for	ADP
fis-5273	264	16	validating	validate	VERB
fis-5273	264	17	.	.	PUNCT
fis-5273	265	1	after	after	ADP
fis-5273	265	2	training	training	NOUN
fis-5273	265	3	,	,	PUNCT
fis-5273	265	4	the	the	DET
fis-5273	265	5	network	network	NOUN
fis-5273	265	6	is	be	AUX
fis-5273	265	7	tested	test	VERB
fis-5273	265	8	with	with	ADP
fis-5273	265	9	different	different	ADJ
fis-5273	265	10	damage	damage	NOUN
fis-5273	265	11	severity	severity	NOUN
fis-5273	265	12	locations	location	NOUN
fis-5273	265	13	.	.	PUNCT
fis-5273	266	1	fig	fig	NOUN
fis-5273	266	2	.	.	PUNCT
fis-5273	267	1	15	15	NUM
fis-5273	267	2	presents	present	VERB
fis-5273	267	3	the	the	DET
fis-5273	267	4	performance	performance	NOUN
fis-5273	267	5	of	of	ADP
fis-5273	267	6	traditional	traditional	ADJ
fis-5273	267	7	cnn	cnn	PROPN
fis-5273	267	8	and	and	CCONJ
fis-5273	267	9	mobilenetv2	mobilenetv2	PROPN
fis-5273	267	10	.	.	PUNCT
fis-5273	268	1	both	both	DET
fis-5273	268	2	neural	neural	ADJ
fis-5273	268	3	networks	network	NOUN
fis-5273	268	4	have	have	VERB
fis-5273	268	5	an	an	DET
fis-5273	268	6	accuracy	accuracy	NOUN
fis-5273	268	7	of	of	ADP
fis-5273	268	8	more	more	ADJ
fis-5273	268	9	than	than	ADP
fis-5273	268	10	90	90	NUM
fis-5273	268	11	%	%	NOUN
fis-5273	268	12	for	for	ADP
fis-5273	268	13	the	the	DET
fis-5273	268	14	training	training	NOUN
fis-5273	268	15	dataset	dataset	NOUN
fis-5273	268	16	and	and	CCONJ
fis-5273	268	17	more	more	ADJ
fis-5273	268	18	than	than	ADP
fis-5273	268	19	80	80	NUM
fis-5273	268	20	%	%	NOUN
fis-5273	268	21	for	for	ADP
fis-5273	268	22	the	the	DET
fis-5273	268	23	validation	validation	NOUN
fis-5273	268	24	test	test	NOUN
fis-5273	268	25	.	.	PUNCT
fis-5273	269	1	fig	fig	NOUN
fis-5273	269	2	.	.	PUNCT
fis-5273	270	1	16	16	NUM
fis-5273	270	2	presents	present	VERB
fis-5273	270	3	some	some	DET
fis-5273	270	4	examples	example	NOUN
fis-5273	270	5	of	of	ADP
fis-5273	270	6	model	model	NOUN
fis-5273	270	7	predictions	prediction	NOUN
fis-5273	270	8	.	.	PUNCT
fis-5273	271	1	based	base	VERB
fis-5273	271	2	on	on	ADP
fis-5273	271	3	the	the	DET
fis-5273	271	4	input	input	NOUN
fis-5273	271	5	image	image	NOUN
fis-5273	271	6	,	,	PUNCT
fis-5273	271	7	the	the	DET
fis-5273	271	8	model	model	NOUN
fis-5273	271	9	can	can	AUX
fis-5273	271	10	predict	predict	VERB
fis-5273	271	11	the	the	DET
fis-5273	271	12	damage	damage	NOUN
fis-5273	271	13	locations	location	NOUN
fis-5273	271	14	.	.	PUNCT
fis-5273	272	1	traditional	traditional	ADJ
fis-5273	272	2	cnn	cnn	PROPN
fis-5273	272	3	failed	fail	VERB
fis-5273	272	4	to	to	PART
fis-5273	272	5	adjust	adjust	VERB
fis-5273	272	6	weights	weight	NOUN
fis-5273	272	7	for	for	ADP
fis-5273	272	8	the	the	DET
fis-5273	272	9	first	first	ADJ
fis-5273	272	10	20	20	NUM
fis-5273	272	11	epochs	epoch	NOUN
fis-5273	272	12	,	,	PUNCT
fis-5273	272	13	however	however	ADV
fis-5273	272	14	,	,	PUNCT
fis-5273	272	15	mobilenetv2	mobilenetv2	PROPN
fis-5273	272	16	was	be	AUX
fis-5273	272	17	successful	successful	ADJ
fis-5273	272	18	from	from	ADP
fis-5273	272	19	the	the	DET
fis-5273	272	20	very	very	ADJ
fis-5273	272	21	beginning	beginning	NOUN
fis-5273	272	22	.	.	PUNCT
fis-5273	273	1	after	after	ADP
fis-5273	273	2	100	100	NUM
fis-5273	273	3	epochs	epoch	NOUN
fis-5273	273	4	,	,	PUNCT
fis-5273	273	5	the	the	DET
fis-5273	273	6	accuracy	accuracy	NOUN
fis-5273	273	7	of	of	ADP
fis-5273	273	8	both	both	DET
fis-5273	273	9	cnns	cnn	NOUN
fis-5273	273	10	reaches	reach	VERB
fis-5273	273	11	more	more	ADJ
fis-5273	273	12	than	than	ADP
fis-5273	273	13	90	90	NUM
fis-5273	273	14	%	%	NOUN
fis-5273	273	15	,	,	PUNCT
fis-5273	273	16	traditional	traditional	ADJ
fis-5273	273	17	cnn	cnn	PROPN
fis-5273	273	18	training	training	NOUN
fis-5273	273	19	and	and	CCONJ
fis-5273	273	20	validation	validation	NOUN
fis-5273	273	21	accuracy	accuracy	NOUN
fis-5273	273	22	are	be	AUX
fis-5273	273	23	higher	high	ADJ
fis-5273	273	24	than	than	ADP
fis-5273	273	25	mobilenetv2	mobilenetv2	PROPN
fis-5273	273	26	,	,	PUNCT
fis-5273	273	27	however	however	ADV
fis-5273	273	28	,	,	PUNCT
fis-5273	273	29	the	the	DET
fis-5273	273	30	trainable	trainable	ADJ
fis-5273	273	31	parameter	parameter	NOUN
fis-5273	273	32	in	in	ADP
fis-5273	273	33	traditional	traditional	ADJ
fis-5273	273	34	cnn	cnn	PROPN
fis-5273	273	35	is	be	AUX
fis-5273	273	36	very	very	ADV
fis-5273	273	37	large	large	ADJ
fis-5273	273	38	and	and	CCONJ
fis-5273	273	39	requires	require	VERB
fis-5273	273	40	more	more	ADJ
fis-5273	273	41	time	time	NOUN
fis-5273	273	42	and	and	CCONJ
fis-5273	273	43	effort	effort	NOUN
fis-5273	273	44	to	to	PART
fis-5273	273	45	train	train	VERB
fis-5273	273	46	.	.	PUNCT
fis-5273	274	1	this	this	PRON
fis-5273	274	2	proves	prove	VERB
fis-5273	274	3	that	that	SCONJ
fis-5273	274	4	traditional	traditional	ADJ
fis-5273	274	5	cnn	cnn	PROPN
fis-5273	274	6	is	be	AUX
fis-5273	274	7	suitable	suitable	ADJ
fis-5273	274	8	for	for	ADP
fis-5273	274	9	cases	case	NOUN
fis-5273	274	10	with	with	ADP
fis-5273	274	11	large	large	ADJ
fis-5273	274	12	training	training	NOUN
fis-5273	274	13	datasets	dataset	NOUN
fis-5273	274	14	.	.	PUNCT
fis-5273	275	1	mobilenetv2	mobilenetv2	PROPN
fis-5273	275	2	is	be	AUX
fis-5273	275	3	suitable	suitable	ADJ
fis-5273	275	4	for	for	ADP
fis-5273	275	5	the	the	DET
fis-5273	275	6	tasks	task	NOUN
fis-5273	275	7	that	that	PRON
fis-5273	275	8	have	have	VERB
fis-5273	275	9	fewer	few	ADJ
fis-5273	275	10	data	datum	NOUN
fis-5273	275	11	and	and	CCONJ
fis-5273	275	12	is	be	AUX
fis-5273	275	13	a	a	DET
fis-5273	275	14	lightweight	lightweight	ADJ
fis-5273	275	15	cnn	cnn	PROPN
fis-5273	275	16	.	.	PUNCT
fis-5273	276	1	d.	d.	PROPN
fis-5273	276	2	h.	h.	PROPN
fis-5273	276	3	nguyen	nguyen	PROPN
fis-5273	276	4	et	et	PROPN
fis-5273	276	5	alii	alii	PROPN
fis-5273	276	6	,	,	PUNCT
fis-5273	276	7	fracture	fracture	ADJ
fis-5273	276	8	and	and	CCONJ
fis-5273	276	9	structural	structural	ADJ
fis-5273	276	10	integrity	integrity	NOUN
fis-5273	276	11	,	,	PUNCT
fis-5273	276	12	72	72	NUM
fis-5273	276	13	(	(	PUNCT
fis-5273	276	14	2025	2025	NUM
fis-5273	276	15	)	)	PUNCT
fis-5273	276	16	121	121	NUM
fis-5273	276	17	-	-	SYM
fis-5273	276	18	136	136	NUM
fis-5273	276	19	;	;	PUNCT
fis-5273	276	20	doi	doi	NOUN
fis-5273	276	21	:	:	PUNCT
fis-5273	276	22	10.3221	10.3221	NUM
fis-5273	276	23	/	/	SYM
fis-5273	276	24	igf	igf	PROPN
fis-5273	276	25	-	-	ADJ
fis-5273	276	26	esis.72.09	esis.72.09	PROPN
fis-5273	276	27	133	133	NUM
fis-5273	276	28	a.	a.	NOUN
fis-5273	276	29	traditional	traditional	PROPN
fis-5273	276	30	cnn	cnn	PROPN
fis-5273	276	31	b.	b.	PROPN
fis-5273	276	32	mobilenetv2	mobilenetv2	PROPN
fis-5273	276	33	figure	figure	VERB
fis-5273	276	34	15	15	NUM
fis-5273	276	35	:	:	PUNCT
fis-5273	276	36	performance	performance	NOUN
fis-5273	276	37	of	of	ADP
fis-5273	276	38	the	the	DET
fis-5273	276	39	training	training	NOUN
fis-5273	276	40	cnn	cnn	PROPN
fis-5273	276	41	for	for	ADP
fis-5273	276	42	damage	damage	NOUN
fis-5273	276	43	location	location	NOUN
fis-5273	276	44	based	base	VERB
fis-5273	276	45	on	on	ADP
fis-5273	276	46	proposed	propose	VERB
fis-5273	276	47	method	method	NOUN
fis-5273	276	48	.	.	PUNCT
fis-5273	277	1	figure	figure	NOUN
fis-5273	277	2	16	16	NUM
fis-5273	277	3	:	:	PUNCT
fis-5273	277	4	example	example	NOUN
fis-5273	277	5	of	of	ADP
fis-5273	277	6	damage	damage	NOUN
fis-5273	277	7	location	location	NOUN
fis-5273	277	8	classification	classification	NOUN
fis-5273	277	9	results	result	NOUN
fis-5273	277	10			ADP
fis-5273	277	11	damage	damage	NOUN
fis-5273	277	12	severity	severity	NOUN
fis-5273	277	13	1200	1200	NUM
fis-5273	277	14	images	image	NOUN
fis-5273	277	15	were	be	AUX
fis-5273	277	16	used	use	VERB
fis-5273	277	17	to	to	PART
fis-5273	277	18	train	train	VERB
fis-5273	277	19	the	the	DET
fis-5273	277	20	damage	damage	NOUN
fis-5273	277	21	severity	severity	NOUN
fis-5273	277	22	.	.	PUNCT
fis-5273	278	1	three	three	NUM
fis-5273	278	2	level	level	NOUN
fis-5273	278	3	of	of	ADP
fis-5273	278	4	damage	damage	NOUN
fis-5273	278	5	with	with	ADP
fis-5273	278	6	stiffness	stiffness	NOUN
fis-5273	278	7	reduces	reduce	VERB
fis-5273	278	8	less	less	ADJ
fis-5273	278	9	than	than	ADP
fis-5273	278	10	10	10	NUM
fis-5273	278	11	%	%	NOUN
fis-5273	278	12	is	be	AUX
fis-5273	278	13	considered	consider	VERB
fis-5273	278	14	.	.	PUNCT
fis-5273	279	1	level	level	NOUN
fis-5273	279	2	1	1	NUM
fis-5273	279	3	,	,	PUNCT
fis-5273	279	4	level	level	NOUN
fis-5273	279	5	2	2	NUM
fis-5273	279	6	,	,	PUNCT
fis-5273	279	7	and	and	CCONJ
fis-5273	279	8	level	level	NOUN
fis-5273	279	9	3	3	NUM
fis-5273	279	10	the	the	DET
fis-5273	279	11	severity	severity	NOUN
fis-5273	279	12	is	be	AUX
fis-5273	279	13	below	below	ADP
fis-5273	279	14	4	4	NUM
fis-5273	279	15	%	%	NOUN
fis-5273	279	16	,	,	PUNCT
fis-5273	279	17	6	6	NUM
fis-5273	279	18	%	%	NOUN
fis-5273	279	19	and	and	CCONJ
fis-5273	279	20	10	10	NUM
fis-5273	279	21	%	%	NOUN
fis-5273	279	22	,	,	PUNCT
fis-5273	279	23	respectively	respectively	ADV
fis-5273	279	24	.	.	PUNCT
fis-5273	280	1	fig	fig	NOUN
fis-5273	280	2	.	.	PUNCT
fis-5273	281	1	17	17	NUM
fis-5273	281	2	provides	provide	VERB
fis-5273	281	3	the	the	DET
fis-5273	281	4	training	training	NOUN
fis-5273	281	5	and	and	CCONJ
fis-5273	281	6	validation	validation	NOUN
fis-5273	281	7	accuracy	accuracy	NOUN
fis-5273	281	8	and	and	CCONJ
fis-5273	281	9	loss	loss	NOUN
fis-5273	281	10	when	when	SCONJ
fis-5273	281	11	using	use	VERB
fis-5273	281	12	cnn	cnn	PROPN
fis-5273	281	13	to	to	PART
fis-5273	281	14	predict	predict	VERB
fis-5273	281	15	the	the	DET
fis-5273	281	16	damage	damage	NOUN
fis-5273	281	17	severity	severity	NOUN
fis-5273	281	18	.	.	PUNCT
fis-5273	282	1	both	both	DET
fis-5273	282	2	simple	simple	ADJ
fis-5273	282	3	cnn	cnn	PROPN
fis-5273	282	4	and	and	CCONJ
fis-5273	282	5	mobilenetv2	mobilenetv2	PROPN
fis-5273	282	6	have	have	VERB
fis-5273	282	7	high	high	ADJ
fis-5273	282	8	accuracy	accuracy	NOUN
fis-5273	282	9	,	,	PUNCT
fis-5273	282	10	almost	almost	ADV
fis-5273	282	11	reaching	reach	VERB
fis-5273	282	12	100	100	NUM
fis-5273	282	13	%	%	NOUN
fis-5273	282	14	.	.	PUNCT
fis-5273	283	1	however	however	ADV
fis-5273	283	2	,	,	PUNCT
fis-5273	283	3	mobilenetv2	mobilenetv2	PROPN
fis-5273	283	4	needs	need	VERB
fis-5273	283	5	fewer	few	ADJ
fis-5273	283	6	epochs	epoch	NOUN
fis-5273	283	7	to	to	PART
fis-5273	283	8	reach	reach	VERB
fis-5273	283	9	high	high	ADJ
fis-5273	283	10	accuracy	accuracy	NOUN
fis-5273	283	11	and	and	CCONJ
fis-5273	283	12	reduce	reduce	VERB
fis-5273	283	13	loss	loss	NOUN
fis-5273	283	14	than	than	ADP
fis-5273	283	15	traditional	traditional	ADJ
fis-5273	283	16	cnn	cnn	PROPN
fis-5273	283	17	.	.	PUNCT
fis-5273	284	1	at	at	ADP
fis-5273	284	2	the	the	DET
fis-5273	284	3	first	first	ADJ
fis-5273	284	4	10	10	NUM
fis-5273	284	5	epochs	epoch	NOUN
fis-5273	284	6	,	,	PUNCT
fis-5273	284	7	the	the	DET
fis-5273	284	8	accuracy	accuracy	NOUN
fis-5273	284	9	of	of	ADP
fis-5273	284	10	traditional	traditional	ADJ
fis-5273	284	11	cnn	cnn	PROPN
fis-5273	284	12	is	be	AUX
fis-5273	284	13	not	not	PART
fis-5273	284	14	steady	steady	ADJ
fis-5273	284	15	,	,	PUNCT
fis-5273	284	16	while	while	SCONJ
fis-5273	284	17	mobilenetv2	mobilenetv2	PROPN
fis-5273	284	18	need	need	VERB
fis-5273	284	19	only	only	ADV
fis-5273	284	20	5	5	NUM
fis-5273	284	21	epochs	epoch	NOUN
fis-5273	284	22	to	to	PART
fis-5273	284	23	reach	reach	VERB
fis-5273	284	24	the	the	DET
fis-5273	284	25	accuracy	accuracy	NOUN
fis-5273	284	26	of	of	ADP
fis-5273	284	27	90	90	NUM
fis-5273	284	28	%	%	NOUN
fis-5273	284	29	and	and	CCONJ
fis-5273	284	30	loss	loss	NOUN
fis-5273	284	31	function	function	NOUN
fis-5273	284	32	is	be	AUX
fis-5273	284	33	reduced	reduce	VERB
fis-5273	284	34	when	when	SCONJ
fis-5273	284	35	the	the	DET
fis-5273	284	36	number	number	NOUN
fis-5273	284	37	of	of	ADP
fis-5273	284	38	epochs	epoch	NOUN
fis-5273	284	39	increases	increase	NOUN
fis-5273	284	40	.	.	PUNCT
fis-5273	285	1	fig	fig	NOUN
fis-5273	285	2	.	.	PUNCT
fis-5273	286	1	18	18	NUM
fis-5273	286	2	shows	show	VERB
fis-5273	286	3	some	some	DET
fis-5273	286	4	prediction	prediction	NOUN
fis-5273	286	5	results	result	NOUN
fis-5273	286	6	from	from	ADP
fis-5273	286	7	the	the	DET
fis-5273	286	8	neural	neural	ADJ
fis-5273	286	9	network	network	NOUN
fis-5273	286	10	model	model	NOUN
fis-5273	286	11	.	.	PUNCT
fis-5273	287	1	the	the	DET
fis-5273	287	2	accuracy	accuracy	NOUN
fis-5273	287	3	of	of	ADP
fis-5273	287	4	training	training	NOUN
fis-5273	287	5	and	and	CCONJ
fis-5273	287	6	validation	validation	NOUN
fis-5273	287	7	are	be	AUX
fis-5273	287	8	high	high	ADJ
fis-5273	287	9	,	,	PUNCT
fis-5273	287	10	proves	prove	VERB
fis-5273	287	11	that	that	SCONJ
fis-5273	287	12	cnns	cnn	NOUN
fis-5273	287	13	are	be	AUX
fis-5273	287	14	successful	successful	ADJ
fis-5273	287	15	in	in	ADP
fis-5273	287	16	predicting	predict	VERB
fis-5273	287	17	.	.	PUNCT
fis-5273	288	1	d.	d.	PROPN
fis-5273	288	2	h.	h.	PROPN
fis-5273	288	3	nguyen	nguyen	PROPN
fis-5273	288	4	et	et	PROPN
fis-5273	288	5	alii	alii	PROPN
fis-5273	288	6	,	,	PUNCT
fis-5273	288	7	fracture	fracture	ADJ
fis-5273	288	8	and	and	CCONJ
fis-5273	288	9	structural	structural	ADJ
fis-5273	288	10	integrity	integrity	NOUN
fis-5273	288	11	,	,	PUNCT
fis-5273	288	12	72	72	NUM
fis-5273	288	13	(	(	PUNCT
fis-5273	288	14	2025	2025	NUM
fis-5273	288	15	)	)	PUNCT
fis-5273	288	16	121	121	NUM
fis-5273	288	17	-	-	SYM
fis-5273	288	18	136	136	NUM
fis-5273	288	19	;	;	PUNCT
fis-5273	288	20	doi	doi	NOUN
fis-5273	288	21	:	:	PUNCT
fis-5273	288	22	10.3221	10.3221	NUM
fis-5273	288	23	/	/	SYM
fis-5273	288	24	igf	igf	PROPN
fis-5273	288	25	-	-	ADJ
fis-5273	288	26	esis.72.09	esis.72.09	PROPN
fis-5273	288	27	134	134	NUM
fis-5273	288	28	a.	a.	NOUN
fis-5273	288	29	traditional	traditional	PROPN
fis-5273	288	30	cnn	cnn	PROPN
fis-5273	288	31	b.	b.	PROPN
fis-5273	288	32	mobilenetv2	mobilenetv2	PROPN
fis-5273	288	33	figure	figure	VERB
fis-5273	288	34	17	17	NUM
fis-5273	288	35	:	:	PUNCT
fis-5273	288	36	example	example	NOUN
fis-5273	288	37	of	of	ADP
fis-5273	288	38	damage	damage	NOUN
fis-5273	288	39	location	location	NOUN
fis-5273	288	40	classification	classification	NOUN
fis-5273	288	41	results	result	NOUN
fis-5273	288	42	.	.	PUNCT
fis-5273	289	1	figure	figure	VERB
fis-5273	289	2	18	18	NUM
fis-5273	289	3	:	:	PUNCT
fis-5273	289	4	example	example	NOUN
fis-5273	289	5	of	of	ADP
fis-5273	289	6	damage	damage	NOUN
fis-5273	289	7	severity	severity	NOUN
fis-5273	289	8	classification	classification	NOUN
fis-5273	289	9	results	result	NOUN
fis-5273	289	10	.	.	PUNCT
fis-5273	290	1	conclusion	conclusion	NOUN
fis-5273	290	2	he	he	PRON
fis-5273	290	3	present	present	ADJ
fis-5273	290	4	work	work	NOUN
fis-5273	290	5	proposes	propose	VERB
fis-5273	290	6	a	a	DET
fis-5273	290	7	damage	damage	NOUN
fis-5273	290	8	detection	detection	NOUN
fis-5273	290	9	method	method	NOUN
fis-5273	290	10	based	base	VERB
fis-5273	290	11	on	on	ADP
fis-5273	290	12	digital	digital	ADJ
fis-5273	290	13	twin	twin	ADJ
fis-5273	290	14	and	and	CCONJ
fis-5273	290	15	deep	deep	ADJ
fis-5273	290	16	learning	learning	NOUN
fis-5273	290	17	algorithms	algorithm	NOUN
fis-5273	290	18	.	.	PUNCT
fis-5273	291	1	a	a	DET
fis-5273	291	2	slab	slab	NOUN
fis-5273	291	3	structure	structure	NOUN
fis-5273	291	4	length	length	NOUN
fis-5273	291	5	3.5	3.5	NUM
fis-5273	291	6	m	m	NOUN
fis-5273	291	7	is	be	AUX
fis-5273	291	8	used	use	VERB
fis-5273	291	9	to	to	PART
fis-5273	291	10	verify	verify	VERB
fis-5273	291	11	the	the	DET
fis-5273	291	12	methods	method	NOUN
fis-5273	291	13	.	.	PUNCT
fis-5273	292	1	the	the	DET
fis-5273	292	2	dynamic	dynamic	ADJ
fis-5273	292	3	characteristics	characteristic	NOUN
fis-5273	292	4	of	of	ADP
fis-5273	292	5	the	the	DET
fis-5273	292	6	slab	slab	NOUN
fis-5273	292	7	are	be	AUX
fis-5273	292	8	identified	identify	VERB
fis-5273	292	9	by	by	ADP
fis-5273	292	10	analysing	analyse	VERB
fis-5273	292	11	vibration	vibration	NOUN
fis-5273	292	12	data	datum	NOUN
fis-5273	292	13	collected	collect	VERB
fis-5273	292	14	from	from	ADP
fis-5273	292	15	accelerometers	accelerometer	NOUN
fis-5273	292	16	.	.	PUNCT
fis-5273	293	1	optimization	optimization	NOUN
fis-5273	293	2	algorithms	algorithm	NOUN
fis-5273	293	3	then	then	ADV
fis-5273	293	4	help	help	VERB
fis-5273	293	5	to	to	PART
fis-5273	293	6	calibrate	calibrate	VERB
fis-5273	293	7	the	the	DET
fis-5273	293	8	fe	fe	NOUN
fis-5273	293	9	model	model	NOUN
fis-5273	293	10	and	and	CCONJ
fis-5273	293	11	create	create	VERB
fis-5273	293	12	the	the	DET
fis-5273	293	13	digital	digital	ADJ
fis-5273	293	14	twin	twin	ADJ
fis-5273	293	15	model	model	NOUN
fis-5273	293	16	.	.	PUNCT
fis-5273	294	1	different	different	ADJ
fis-5273	294	2	damage	damage	NOUN
fis-5273	294	3	scenarios	scenario	NOUN
fis-5273	294	4	are	be	AUX
fis-5273	294	5	created	create	VERB
fis-5273	294	6	in	in	ADP
fis-5273	294	7	the	the	DET
fis-5273	294	8	digital	digital	ADJ
fis-5273	294	9	twin	twin	ADJ
fis-5273	294	10	model	model	NOUN
fis-5273	294	11	,	,	PUNCT
fis-5273	294	12	and	and	CCONJ
fis-5273	294	13	the	the	DET
fis-5273	294	14	slab	slab	NOUN
fis-5273	294	15	structure	structure	NOUN
fis-5273	294	16	deflection	deflection	NOUN
fis-5273	294	17	is	be	AUX
fis-5273	294	18	decomposed	decompose	VERB
fis-5273	294	19	by	by	ADP
fis-5273	294	20	two	two	NUM
fis-5273	294	21	-	-	PUNCT
fis-5273	294	22	dimensional	dimensional	ADJ
fis-5273	294	23	discrete	discrete	ADJ
fis-5273	294	24	wavelet	wavelet	NOUN
fis-5273	294	25	analysis	analysis	NOUN
fis-5273	294	26	.	.	PUNCT
fis-5273	295	1	both	both	PRON
fis-5273	295	2	traditional	traditional	ADJ
fis-5273	295	3	cnn	cnn	PROPN
fis-5273	295	4	and	and	CCONJ
fis-5273	295	5	mobilenetv2	mobilenetv2	PROPN
fis-5273	295	6	are	be	AUX
fis-5273	295	7	trained	train	VERB
fis-5273	295	8	with	with	ADP
fis-5273	295	9	the	the	DET
fis-5273	295	10	training	training	NOUN
fis-5273	295	11	images	image	NOUN
fis-5273	295	12	created	create	VERB
fis-5273	295	13	by	by	ADP
fis-5273	295	14	deflection	deflection	NOUN
fis-5273	295	15	data	datum	NOUN
fis-5273	295	16	composed	compose	VERB
fis-5273	295	17	from	from	ADP
fis-5273	295	18	a	a	DET
fis-5273	295	19	digital	digital	ADJ
fis-5273	295	20	twin	twin	ADJ
fis-5273	295	21	model	model	NOUN
fis-5273	295	22	.	.	PUNCT
fis-5273	296	1	this	this	DET
fis-5273	296	2	method	method	NOUN
fis-5273	296	3	deals	deal	VERB
fis-5273	296	4	with	with	ADP
fis-5273	296	5	damage	damage	NOUN
fis-5273	296	6	scenarios	scenario	NOUN
fis-5273	296	7	with	with	ADP
fis-5273	296	8	a	a	DET
fis-5273	296	9	severity	severity	NOUN
fis-5273	296	10	of	of	ADP
fis-5273	296	11	less	less	ADJ
fis-5273	296	12	than	than	ADP
fis-5273	296	13	10	10	NUM
fis-5273	296	14	%	%	NOUN
fis-5273	296	15	,	,	PUNCT
fis-5273	296	16	which	which	PRON
fis-5273	296	17	is	be	AUX
fis-5273	296	18	a	a	DET
fis-5273	296	19	limitation	limitation	NOUN
fis-5273	296	20	in	in	ADP
fis-5273	296	21	some	some	DET
fis-5273	296	22	research	research	NOUN
fis-5273	296	23	[	[	X
fis-5273	296	24	18	18	NUM
fis-5273	296	25	]	]	PUNCT
fis-5273	296	26	.	.	PUNCT
fis-5273	297	1	the	the	DET
fis-5273	297	2	results	result	NOUN
fis-5273	297	3	show	show	VERB
fis-5273	297	4	that	that	SCONJ
fis-5273	297	5	the	the	DET
fis-5273	297	6	proposed	propose	VERB
fis-5273	297	7	method	method	NOUN
fis-5273	297	8	can	can	AUX
fis-5273	297	9	give	give	VERB
fis-5273	297	10	high	high	ADJ
fis-5273	297	11	accuracy	accuracy	NOUN
fis-5273	297	12	,	,	PUNCT
fis-5273	297	13	which	which	PRON
fis-5273	297	14	is	be	AUX
fis-5273	297	15	more	more	ADJ
fis-5273	297	16	than	than	ADP
fis-5273	297	17	80	80	NUM
fis-5273	297	18	%	%	NOUN
fis-5273	297	19	for	for	ADP
fis-5273	297	20	location	location	NOUN
fis-5273	297	21	and	and	CCONJ
fis-5273	297	22	90	90	NUM
fis-5273	297	23	%	%	NOUN
fis-5273	297	24	for	for	ADP
fis-5273	297	25	severity	severity	NOUN
fis-5273	297	26	.	.	PUNCT
fis-5273	298	1	the	the	DET
fis-5273	298	2	wavelet	wavelet	NOUN
fis-5273	298	3	transforms	transform	VERB
fis-5273	298	4	(	(	PUNCT
fis-5273	298	5	dwt	dwt	NOUN
fis-5273	298	6	)	)	PUNCT
fis-5273	298	7	are	be	AUX
fis-5273	298	8	applied	apply	VERB
fis-5273	298	9	to	to	ADP
fis-5273	298	10	the	the	DET
fis-5273	298	11	defection	defection	NOUN
fis-5273	298	12	data	datum	NOUN
fis-5273	298	13	of	of	ADP
fis-5273	298	14	the	the	DET
fis-5273	298	15	slab	slab	NOUN
fis-5273	298	16	in	in	ADP
fis-5273	298	17	this	this	DET
fis-5273	298	18	work	work	NOUN
fis-5273	298	19	.	.	PUNCT
fis-5273	299	1	the	the	DET
fis-5273	299	2	formulation	formulation	NOUN
fis-5273	299	3	of	of	ADP
fis-5273	299	4	the	the	DET
fis-5273	299	5	twodimensional	twodimensional	ADJ
fis-5273	299	6	wavelet	wavelet	NOUN
fis-5273	299	7	transform	transform	NOUN
fis-5273	299	8	for	for	ADP
fis-5273	299	9	a	a	DET
fis-5273	299	10	slab	slab	NOUN
fis-5273	299	11	structure	structure	NOUN
fis-5273	299	12	is	be	AUX
fis-5273	299	13	presented	present	VERB
fis-5273	299	14	.	.	PUNCT
fis-5273	300	1	the	the	DET
fis-5273	300	2	diagonal	diagonal	ADJ
fis-5273	300	3	direction	direction	NOUN
fis-5273	300	4	sub	sub	ADJ
fis-5273	300	5	-	-	ADJ
fis-5273	300	6	image	image	ADJ
fis-5273	300	7	output	output	NOUN
fis-5273	300	8	is	be	AUX
fis-5273	300	9	then	then	ADV
fis-5273	300	10	used	use	VERB
fis-5273	300	11	as	as	ADP
fis-5273	300	12	input	input	NOUN
fis-5273	300	13	data	datum	NOUN
fis-5273	300	14	to	to	PART
fis-5273	300	15	train	train	VERB
fis-5273	300	16	the	the	DET
fis-5273	300	17	convolutional	convolutional	ADJ
fis-5273	300	18	neural	neural	ADJ
fis-5273	300	19	networks	network	NOUN
fis-5273	300	20	in	in	ADP
fis-5273	300	21	the	the	DET
fis-5273	300	22	digital	digital	ADJ
fis-5273	300	23	twin	twin	ADJ
fis-5273	300	24	framework	framework	NOUN
fis-5273	300	25	.	.	PUNCT
fis-5273	301	1	the	the	DET
fis-5273	301	2	study	study	NOUN
fis-5273	301	3	on	on	ADP
fis-5273	301	4	wavelet	wavelet	NOUN
fis-5273	301	5	analysis	analysis	NOUN
fis-5273	301	6	and	and	CCONJ
fis-5273	301	7	deep	deep	ADJ
fis-5273	301	8	t	t	PROPN
fis-5273	301	9	d.	d.	PROPN
fis-5273	301	10	h.	h.	PROPN
fis-5273	301	11	nguyen	nguyen	PROPN
fis-5273	301	12	et	et	PROPN
fis-5273	301	13	alii	alii	PROPN
fis-5273	301	14	,	,	PUNCT
fis-5273	301	15	fracture	fracture	ADJ
fis-5273	301	16	and	and	CCONJ
fis-5273	301	17	structural	structural	ADJ
fis-5273	301	18	integrity	integrity	NOUN
fis-5273	301	19	,	,	PUNCT
fis-5273	301	20	72	72	NUM
fis-5273	301	21	(	(	PUNCT
fis-5273	301	22	2025	2025	NUM
fis-5273	301	23	)	)	PUNCT
fis-5273	301	24	121	121	NUM
fis-5273	301	25	-	-	SYM
fis-5273	301	26	136	136	NUM
fis-5273	301	27	;	;	PUNCT
fis-5273	301	28	doi	doi	NOUN
fis-5273	301	29	:	:	PUNCT
fis-5273	301	30	10.3221	10.3221	NUM
fis-5273	301	31	/	/	SYM
fis-5273	301	32	igf	igf	PROPN
fis-5273	301	33	-	-	ADJ
fis-5273	301	34	esis.72.09	esis.72.09	ADJ
fis-5273	301	35	135	135	NUM
fis-5273	301	36	learning	learning	NOUN
fis-5273	301	37	applied	apply	VERB
fis-5273	301	38	to	to	ADP
fis-5273	301	39	damage	damage	NOUN
fis-5273	301	40	detection	detection	NOUN
fis-5273	301	41	shows	show	VERB
fis-5273	301	42	some	some	DET
fis-5273	301	43	advantages	advantage	NOUN
fis-5273	301	44	of	of	ADP
fis-5273	301	45	this	this	DET
fis-5273	301	46	method	method	NOUN
fis-5273	301	47	such	such	ADJ
fis-5273	301	48	as	as	ADP
fis-5273	301	49	not	not	PART
fis-5273	301	50	requiring	require	VERB
fis-5273	301	51	the	the	DET
fis-5273	301	52	data	datum	NOUN
fis-5273	301	53	from	from	ADP
fis-5273	301	54	intact	intact	ADJ
fis-5273	301	55	structures	structure	NOUN
fis-5273	301	56	,	,	PUNCT
fis-5273	301	57	and	and	CCONJ
fis-5273	301	58	success	success	NOUN
fis-5273	301	59	with	with	ADP
fis-5273	301	60	minor	minor	ADJ
fis-5273	301	61	severity	severity	NOUN
fis-5273	301	62	damage	damage	NOUN
fis-5273	301	63	.	.	PUNCT
fis-5273	302	1	the	the	DET
fis-5273	302	2	success	success	NOUN
fis-5273	302	3	of	of	ADP
fis-5273	302	4	using	use	VERB
fis-5273	302	5	mobilenetv2	mobilenetv2	PROPN
fis-5273	302	6	as	as	ADP
fis-5273	302	7	a	a	DET
fis-5273	302	8	deep	deep	ADJ
fis-5273	302	9	learning	learning	NOUN
fis-5273	302	10	base	base	NOUN
fis-5273	302	11	model	model	NOUN
fis-5273	302	12	and	and	CCONJ
fis-5273	302	13	transfer	transfer	NOUN
fis-5273	302	14	learning	learning	NOUN
fis-5273	302	15	gives	give	VERB
fis-5273	302	16	this	this	DET
fis-5273	302	17	method	method	NOUN
fis-5273	302	18	the	the	DET
fis-5273	302	19	potential	potential	NOUN
fis-5273	302	20	to	to	PART
fis-5273	302	21	be	be	AUX
fis-5273	302	22	implemented	implement	VERB
fis-5273	302	23	further	far	ADV
fis-5273	302	24	on	on	ADP
fis-5273	302	25	mobile	mobile	ADJ
fis-5273	302	26	devices	device	NOUN
fis-5273	302	27	.	.	PUNCT
fis-5273	303	1	moreover	moreover	ADV
fis-5273	303	2	,	,	PUNCT
fis-5273	303	3	with	with	ADP
fis-5273	303	4	the	the	DET
fis-5273	303	5	development	development	NOUN
fis-5273	303	6	of	of	ADP
fis-5273	303	7	technology	technology	NOUN
fis-5273	303	8	,	,	PUNCT
fis-5273	303	9	sensors	sensor	NOUN
fis-5273	303	10	pairing	pair	VERB
fis-5273	303	11	with	with	ADP
fis-5273	303	12	iot	iot	PROPN
fis-5273	303	13	devices	device	NOUN
fis-5273	303	14	can	can	AUX
fis-5273	303	15	provide	provide	VERB
fis-5273	303	16	valuable	valuable	ADJ
fis-5273	303	17	information	information	NOUN
fis-5273	303	18	for	for	ADP
fis-5273	303	19	validating	validate	VERB
fis-5273	303	20	and	and	CCONJ
fis-5273	303	21	updating	update	VERB
fis-5273	303	22	the	the	DET
fis-5273	303	23	digital	digital	ADJ
fis-5273	303	24	twin	twin	NOUN
fis-5273	304	1	[	[	X
fis-5273	304	2	9	9	NUM
fis-5273	304	3	]	]	PUNCT
fis-5273	304	4	.	.	PUNCT
fis-5273	305	1	the	the	DET
fis-5273	305	2	deep	deep	ADJ
fis-5273	305	3	learning	learning	NOUN
fis-5273	305	4	and	and	CCONJ
fis-5273	305	5	digital	digital	ADJ
fis-5273	305	6	twin	twin	ADJ
fis-5273	305	7	model	model	NOUN
fis-5273	305	8	introduced	introduce	VERB
fis-5273	305	9	within	within	ADP
fis-5273	305	10	this	this	DET
fis-5273	305	11	work	work	NOUN
fis-5273	305	12	demonstrates	demonstrate	VERB
fis-5273	305	13	the	the	DET
fis-5273	305	14	application	application	NOUN
fis-5273	305	15	of	of	ADP
fis-5273	305	16	the	the	DET
fis-5273	305	17	shm	shm	NOUN
fis-5273	305	18	strategy	strategy	NOUN
fis-5273	305	19	.	.	PUNCT
fis-5273	306	1	damage	damage	NOUN
fis-5273	306	2	can	can	AUX
fis-5273	306	3	be	be	AUX
fis-5273	306	4	detected	detect	VERB
fis-5273	306	5	and	and	CCONJ
fis-5273	306	6	localized	localize	VERB
fis-5273	306	7	from	from	ADP
fis-5273	306	8	changes	change	NOUN
fis-5273	306	9	in	in	ADP
fis-5273	306	10	structural	structural	ADJ
fis-5273	306	11	deflection	deflection	NOUN
fis-5273	306	12	before	before	ADP
fis-5273	306	13	visual	visual	ADJ
fis-5273	306	14	inspection	inspection	NOUN
fis-5273	306	15	.	.	PUNCT
fis-5273	307	1	this	this	DET
fis-5273	307	2	shm	shm	NOUN
fis-5273	307	3	approach	approach	NOUN
fis-5273	307	4	provides	provide	VERB
fis-5273	307	5	an	an	DET
fis-5273	307	6	automated	automated	ADJ
fis-5273	307	7	way	way	NOUN
fis-5273	307	8	to	to	ADP
fis-5273	307	9	automatically	automatically	ADV
fis-5273	307	10	,	,	PUNCT
fis-5273	307	11	and	and	CCONJ
fis-5273	307	12	continuously	continuously	ADV
fis-5273	307	13	assess	assess	VERB
fis-5273	307	14	structure	structure	NOUN
fis-5273	307	15	health	health	NOUN
fis-5273	307	16	,	,	PUNCT
fis-5273	307	17	prevent	prevent	VERB
fis-5273	307	18	structure	structure	NOUN
fis-5273	307	19	from	from	ADP
fis-5273	307	20	serious	serious	ADJ
fis-5273	307	21	failure	failure	NOUN
fis-5273	307	22	,	,	PUNCT
fis-5273	307	23	and	and	CCONJ
fis-5273	307	24	help	help	VERB
fis-5273	307	25	with	with	ADP
fis-5273	307	26	maintenance	maintenance	NOUN
fis-5273	307	27	.	.	PUNCT
fis-5273	308	1	acknowledgement	acknowledgement	NOUN
fis-5273	308	2	he	he	PRON
fis-5273	308	3	authors	author	NOUN
fis-5273	308	4	would	would	AUX
fis-5273	308	5	like	like	VERB
fis-5273	308	6	to	to	PART
fis-5273	308	7	acknowledge	acknowledge	VERB
fis-5273	308	8	the	the	DET
fis-5273	308	9	financial	financial	ADJ
fis-5273	308	10	support	support	NOUN
fis-5273	308	11	provided	provide	VERB
fis-5273	308	12	by	by	ADP
fis-5273	308	13	the	the	DET
fis-5273	308	14	british	british	PROPN
fis-5273	308	15	council	council	PROPN
fis-5273	308	16	through	through	ADP
fis-5273	308	17	the	the	DET
fis-5273	308	18	women	woman	NOUN
fis-5273	308	19	in	in	ADP
fis-5273	308	20	stem	stem	NOUN
fis-5273	308	21	fellowship	fellowship	NOUN
fis-5273	308	22	,	,	PUNCT
fis-5273	308	23	2024	2024	NUM
fis-5273	308	24	references	reference	NOUN
fis-5273	308	25	[	[	X
fis-5273	308	26	1	1	NUM
fis-5273	308	27	]	]	X
fis-5273	308	28	al	al	PROPN
fis-5273	308	29	-	-	PUNCT
fis-5273	308	30	hijazeen	hijazeen	PROPN
fis-5273	308	31	,	,	PUNCT
fis-5273	308	32	a.z.o	a.z.o	PROPN
fis-5273	308	33	.	.	PROPN
fis-5273	308	34	,	,	PUNCT
fis-5273	308	35	fawad	fawad	PROPN
fis-5273	308	36	,	,	PUNCT
fis-5273	308	37	m.	m.	NOUN
fis-5273	308	38	,	,	PUNCT
fis-5273	308	39	gerges	gerge	NOUN
fis-5273	308	40	,	,	PUNCT
fis-5273	308	41	m.	m.	NOUN
fis-5273	308	42	,	,	PUNCT
fis-5273	308	43	koris	koris	PROPN
fis-5273	308	44	,	,	PUNCT
fis-5273	308	45	k.	k.	PROPN
fis-5273	308	46	,	,	PUNCT
fis-5273	308	47	salamak	salamak	PROPN
fis-5273	308	48	,	,	PUNCT
fis-5273	308	49	m.	m.	NOUN
fis-5273	308	50	(	(	PUNCT
fis-5273	308	51	2023	2023	NUM
fis-5273	308	52	)	)	PUNCT
fis-5273	308	53	.	.	PUNCT
fis-5273	309	1	implementation	implementation	NOUN
fis-5273	309	2	of	of	ADP
fis-5273	309	3	digital	digital	ADJ
fis-5273	309	4	twin	twin	NOUN
fis-5273	309	5	and	and	CCONJ
fis-5273	309	6	support	support	VERB
fis-5273	309	7	vector	vector	NOUN
fis-5273	309	8	machine	machine	NOUN
fis-5273	309	9	in	in	ADP
fis-5273	309	10	structural	structural	ADJ
fis-5273	309	11	health	health	NOUN
fis-5273	309	12	monitoring	monitoring	NOUN
fis-5273	309	13	of	of	ADP
fis-5273	309	14	bridges	bridge	NOUN
fis-5273	309	15	,	,	PUNCT
fis-5273	309	16	archives	archive	NOUN
fis-5273	309	17	of	of	ADP
fis-5273	309	18	civil	civil	ADJ
fis-5273	309	19	engineering	engineering	NOUN
fis-5273	309	20	.	.	PUNCT
fis-5273	310	1	doi	doi	NOUN
fis-5273	310	2	:	:	PUNCT
fis-5273	310	3	10.24425	10.24425	NUM
fis-5273	310	4	/	/	SYM
fis-5273	310	5	ace.2023.146065	ace.2023.146065	NOUN
fis-5273	310	6	.	.	PUNCT
fis-5273	311	1	[	[	X
fis-5273	311	2	2	2	NUM
fis-5273	311	3	]	]	PUNCT
fis-5273	311	4	alves	alve	NOUN
fis-5273	311	5	,	,	PUNCT
fis-5273	311	6	v.	v.	ADP
fis-5273	311	7	,	,	PUNCT
fis-5273	311	8	cury	cury	NOUN
fis-5273	311	9	,	,	PUNCT
fis-5273	311	10	a.	a.	NOUN
fis-5273	311	11	(	(	PUNCT
fis-5273	311	12	2021	2021	NUM
fis-5273	311	13	)	)	PUNCT
fis-5273	311	14	.	.	PUNCT
fis-5273	312	1	a	a	DET
fis-5273	312	2	fast	fast	ADJ
fis-5273	312	3	and	and	CCONJ
fis-5273	312	4	efficient	efficient	ADJ
fis-5273	312	5	feature	feature	NOUN
fis-5273	312	6	extraction	extraction	NOUN
fis-5273	312	7	methodology	methodology	NOUN
fis-5273	312	8	for	for	ADP
fis-5273	312	9	structural	structural	ADJ
fis-5273	312	10	damage	damage	NOUN
fis-5273	312	11	localization	localization	NOUN
fis-5273	312	12	based	base	VERB
fis-5273	312	13	on	on	ADP
fis-5273	312	14	raw	raw	ADJ
fis-5273	312	15	acceleration	acceleration	NOUN
fis-5273	312	16	measurements	measurement	NOUN
fis-5273	312	17	,	,	PUNCT
fis-5273	312	18	struct	struct	VERB
fis-5273	312	19	control	control	NOUN
fis-5273	312	20	health	health	NOUN
fis-5273	312	21	monit	monit	NOUN
fis-5273	312	22	,	,	PUNCT
fis-5273	312	23	28(7	28(7	NUM
fis-5273	312	24	)	)	PUNCT
fis-5273	312	25	.	.	PUNCT
fis-5273	313	1	doi	doi	NOUN
fis-5273	313	2	:	:	PUNCT
fis-5273	313	3	10.1002	10.1002	NUM
fis-5273	313	4	/	/	SYM
fis-5273	313	5	stc.2748	stc.2748	NOUN
fis-5273	313	6	.	.	PUNCT
fis-5273	314	1	[	[	X
fis-5273	314	2	3	3	NUM
fis-5273	314	3	]	]	SYM
fis-5273	314	4	bado	bado	ADJ
fis-5273	314	5	,	,	PUNCT
fis-5273	314	6	m.f	m.f	PROPN
fis-5273	314	7	.	.	PROPN
fis-5273	314	8	,	,	PUNCT
fis-5273	314	9	tonelli	tonelli	PROPN
fis-5273	314	10	,	,	PUNCT
fis-5273	314	11	d.	d.	PROPN
fis-5273	314	12	,	,	PUNCT
fis-5273	314	13	poli	poli	PROPN
fis-5273	314	14	,	,	PUNCT
fis-5273	314	15	f.	f.	PROPN
fis-5273	314	16	,	,	PUNCT
fis-5273	314	17	zonta	zonta	PROPN
fis-5273	314	18	,	,	PUNCT
fis-5273	314	19	d.	d.	PROPN
fis-5273	314	20	,	,	PUNCT
fis-5273	314	21	casas	casas	PROPN
fis-5273	314	22	,	,	PUNCT
fis-5273	314	23	j.r	j.r	PROPN
fis-5273	314	24	.	.	PROPN
fis-5273	314	25	(	(	PUNCT
fis-5273	314	26	2022	2022	NUM
fis-5273	314	27	)	)	PUNCT
fis-5273	314	28	.	.	PUNCT
fis-5273	315	1	digital	digital	ADJ
fis-5273	315	2	twin	twin	NOUN
fis-5273	315	3	for	for	ADP
fis-5273	315	4	civil	civil	ADJ
fis-5273	315	5	engineering	engineering	NOUN
fis-5273	315	6	systems	system	NOUN
fis-5273	315	7	:	:	PUNCT
fis-5273	315	8	an	an	DET
fis-5273	315	9	exploratory	exploratory	ADJ
fis-5273	315	10	review	review	NOUN
fis-5273	315	11	for	for	ADP
fis-5273	315	12	distributed	distributed	ADJ
fis-5273	315	13	sensing	sense	VERB
fis-5273	315	14	updating	updating	NOUN
fis-5273	315	15	,	,	PUNCT
fis-5273	315	16	sensors	sensor	NOUN
fis-5273	315	17	.	.	PUNCT
fis-5273	316	1	doi	doi	NOUN
fis-5273	316	2	:	:	PUNCT
fis-5273	316	3	10.3390	10.3390	NUM
fis-5273	316	4	/	/	SYM
fis-5273	316	5	s22093168	s22093168	NOUN
fis-5273	316	6	.	.	PUNCT
fis-5273	317	1	[	[	X
fis-5273	317	2	4	4	NUM
fis-5273	317	3	]	]	X
fis-5273	317	4	bagheri	bagheri	PROPN
fis-5273	317	5	,	,	PUNCT
fis-5273	317	6	a.	a.	PROPN
fis-5273	317	7	,	,	PUNCT
fis-5273	317	8	ghodrati	ghodrati	PROPN
fis-5273	317	9	amiri	amiri	PROPN
fis-5273	317	10	,	,	PUNCT
fis-5273	317	11	g.	g.	PROPN
fis-5273	317	12	,	,	PUNCT
fis-5273	317	13	khorasani	khorasani	PROPN
fis-5273	317	14	,	,	PUNCT
fis-5273	317	15	m.	m.	NOUN
fis-5273	317	16	,	,	PUNCT
fis-5273	317	17	bakhshi	bakhshi	PROPN
fis-5273	317	18	,	,	PUNCT
fis-5273	317	19	h.	h.	PROPN
fis-5273	317	20	(	(	PUNCT
fis-5273	317	21	2011	2011	NUM
fis-5273	317	22	)	)	PUNCT
fis-5273	317	23	.	.	PUNCT
fis-5273	318	1	structural	structural	ADJ
fis-5273	318	2	damage	damage	NOUN
fis-5273	318	3	identification	identification	NOUN
fis-5273	318	4	of	of	ADP
fis-5273	318	5	plates	plate	NOUN
fis-5273	318	6	based	base	VERB
fis-5273	318	7	on	on	ADP
fis-5273	318	8	modal	modal	ADJ
fis-5273	318	9	data	datum	NOUN
fis-5273	318	10	using	use	VERB
fis-5273	318	11	2d	2d	NUM
fis-5273	318	12	discrete	discrete	ADJ
fis-5273	318	13	wavelet	wavelet	NOUN
fis-5273	318	14	transform	transform	NOUN
fis-5273	318	15	,	,	PUNCT
fis-5273	318	16	structural	structural	ADJ
fis-5273	318	17	engineering	engineering	NOUN
fis-5273	318	18	and	and	CCONJ
fis-5273	318	19	mechanics	mechanic	NOUN
fis-5273	318	20	,	,	PUNCT
fis-5273	318	21	40(1	40(1	NOUN
fis-5273	318	22	)	)	PUNCT
fis-5273	318	23	.	.	PUNCT
fis-5273	319	1	doi	doi	NOUN
fis-5273	319	2	:	:	PUNCT
fis-5273	319	3	10.12989	10.12989	NUM
fis-5273	319	4	/	/	SYM
fis-5273	319	5	sem.2011.40.1.013	sem.2011.40.1.013	NOUN
fis-5273	319	6	.	.	PUNCT
fis-5273	320	1	[	[	X
fis-5273	320	2	5	5	NUM
fis-5273	320	3	]	]	X
fis-5273	320	4	brownjohn	brownjohn	NOUN
fis-5273	320	5	,	,	PUNCT
fis-5273	320	6	j.m.w	j.m.w	NOUN
fis-5273	320	7	.	.	PUNCT
fis-5273	320	8	(	(	PUNCT
fis-5273	320	9	2007	2007	NUM
fis-5273	320	10	)	)	PUNCT
fis-5273	320	11	.	.	PUNCT
fis-5273	321	1	structural	structural	ADJ
fis-5273	321	2	health	health	NOUN
fis-5273	321	3	monitoring	monitoring	NOUN
fis-5273	321	4	of	of	ADP
fis-5273	321	5	civil	civil	ADJ
fis-5273	321	6	infrastructure	infrastructure	NOUN
fis-5273	321	7	,	,	PUNCT
fis-5273	321	8	philosophical	philosophical	ADJ
fis-5273	321	9	transactions	transaction	NOUN
fis-5273	321	10	of	of	ADP
fis-5273	321	11	the	the	DET
fis-5273	321	12	royal	royal	ADJ
fis-5273	321	13	society	society	NOUN
fis-5273	321	14	a	a	DET
fis-5273	321	15	:	:	PUNCT
fis-5273	321	16	mathematical	mathematical	ADJ
fis-5273	321	17	,	,	PUNCT
fis-5273	321	18	physical	physical	ADJ
fis-5273	321	19	and	and	CCONJ
fis-5273	321	20	engineering	engineering	NOUN
fis-5273	321	21	sciences	science	NOUN
fis-5273	321	22	,	,	PUNCT
fis-5273	321	23	365(1851	365(1851	NUM
fis-5273	321	24	)	)	PUNCT
fis-5273	321	25	.	.	PUNCT
fis-5273	322	1	doi	doi	NOUN
fis-5273	322	2	:	:	PUNCT
fis-5273	322	3	10.1098	10.1098	NUM
fis-5273	322	4	/	/	SYM
fis-5273	322	5	rsta.2006.1925	rsta.2006.1925	NOUN
fis-5273	322	6	.	.	PUNCT
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fis-5273	323	2	6	6	NUM
fis-5273	323	3	]	]	X
fis-5273	323	4	[	[	X
fis-5273	323	5	6	6	NUM
fis-5273	323	6	]	]	X
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fis-5273	323	8	,	,	PUNCT
fis-5273	323	9	h.	h.	PROPN
fis-5273	323	10	,	,	PUNCT
fis-5273	323	11	tatipamula	tatipamula	PROPN
fis-5273	323	12	,	,	PUNCT
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fis-5273	323	14	,	,	PUNCT
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fis-5273	323	16	,	,	PUNCT
fis-5273	323	17	h.x	h.x	PROPN
fis-5273	323	18	.	.	PROPN
fis-5273	323	19	(	(	PUNCT
fis-5273	323	20	2022	2022	NUM
fis-5273	323	21	)	)	PUNCT
fis-5273	323	22	.	.	PUNCT
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fis-5273	324	2	-	-	PUNCT
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fis-5273	324	5	twinning	twin	VERB
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fis-5273	324	7	structural	structural	ADJ
fis-5273	324	8	health	health	NOUN
fis-5273	324	9	monitoring	monitoring	NOUN
fis-5273	324	10	using	use	VERB
fis-5273	324	11	deep	deep	ADJ
fis-5273	324	12	learning	learning	NOUN
fis-5273	324	13	,	,	PUNCT
fis-5273	324	14	ieee	ieee	PROPN
fis-5273	324	15	trans	trans	PROPN
fis-5273	324	16	industr	industr	PROPN
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fis-5273	324	19	18(6	18(6	NOUN
fis-5273	324	20	)	)	PUNCT
fis-5273	324	21	.	.	PUNCT
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fis-5273	326	2	7	7	NUM
fis-5273	326	3	]	]	X
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fis-5273	326	7	,	,	PUNCT
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fis-5273	326	9	,	,	PUNCT
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fis-5273	326	11	,	,	PUNCT
fis-5273	326	12	khoshnoudian	khoshnoudian	PROPN
fis-5273	326	13	,	,	PUNCT
fis-5273	326	14	f.	f.	PROPN
fis-5273	326	15	(	(	PUNCT
fis-5273	326	16	2022	2022	NUM
fis-5273	326	17	)	)	PUNCT
fis-5273	326	18	.	.	PUNCT
fis-5273	327	1	a	a	DET
fis-5273	327	2	structural	structural	ADJ
fis-5273	327	3	damage	damage	NOUN
fis-5273	327	4	detection	detection	NOUN
fis-5273	327	5	algorithm	algorithm	NOUN
fis-5273	327	6	based	base	VERB
fis-5273	327	7	on	on	ADP
fis-5273	327	8	discrete	discrete	ADJ
fis-5273	327	9	wavelet	wavelet	NOUN
fis-5273	327	10	transform	transform	NOUN
fis-5273	327	11	and	and	CCONJ
fis-5273	327	12	ensemble	ensemble	ADJ
fis-5273	327	13	pattern	pattern	NOUN
fis-5273	327	14	recognition	recognition	NOUN
fis-5273	327	15	models	model	NOUN
fis-5273	327	16	,	,	PUNCT
fis-5273	327	17	j	j	PROPN
fis-5273	327	18	civ	civ	NOUN
fis-5273	327	19	struct	struct	NOUN
fis-5273	327	20	health	health	NOUN
fis-5273	327	21	monit	monit	NOUN
fis-5273	327	22	,	,	PUNCT
fis-5273	327	23	12(2	12(2	NUM
fis-5273	327	24	)	)	PUNCT
fis-5273	327	25	.	.	PUNCT
fis-5273	328	1	doi	doi	NOUN
fis-5273	328	2	:	:	PUNCT
fis-5273	328	3	10.1007	10.1007	NUM
fis-5273	328	4	/	/	SYM
fis-5273	328	5	s13349	s13349	NUM
fis-5273	328	6	-	-	PUNCT
fis-5273	328	7	021	021	NUM
fis-5273	328	8	-	-	PUNCT
fis-5273	328	9	00546	00546	NUM
fis-5273	328	10	-	-	PUNCT
fis-5273	328	11	0	0	NUM
fis-5273	328	12	.	.	PUNCT
fis-5273	329	1	[	[	X
fis-5273	329	2	8	8	NUM
fis-5273	329	3	]	]	X
fis-5273	329	4	hielscher	hielscher	NOUN
fis-5273	329	5	,	,	PUNCT
fis-5273	329	6	t.	t.	PROPN
fis-5273	329	7	,	,	PUNCT
fis-5273	329	8	khalil	khalil	PROPN
fis-5273	329	9	,	,	PUNCT
fis-5273	329	10	s.	s.	PROPN
fis-5273	329	11	,	,	PUNCT
fis-5273	329	12	virgona	virgona	PROPN
fis-5273	329	13	,	,	PUNCT
fis-5273	329	14	n.	n.	NOUN
fis-5273	329	15	,	,	PUNCT
fis-5273	329	16	hadigheh	hadigheh	PROPN
fis-5273	329	17	,	,	PUNCT
fis-5273	329	18	s.a	s.a	PROPN
fis-5273	329	19	.	.	PROPN
fis-5273	329	20	(	(	PUNCT
fis-5273	329	21	2023	2023	NUM
fis-5273	329	22	)	)	PUNCT
fis-5273	329	23	.	.	PUNCT
fis-5273	330	1	a	a	DET
fis-5273	330	2	neural	neural	ADJ
fis-5273	330	3	network	network	NOUN
fis-5273	330	4	based	base	VERB
fis-5273	330	5	digital	digital	ADJ
fis-5273	330	6	twin	twin	ADJ
fis-5273	330	7	model	model	NOUN
fis-5273	330	8	for	for	ADP
fis-5273	330	9	the	the	DET
fis-5273	330	10	structural	structural	ADJ
fis-5273	330	11	health	health	NOUN
fis-5273	330	12	monitoring	monitoring	NOUN
fis-5273	330	13	of	of	ADP
fis-5273	330	14	reinforced	reinforce	VERB
fis-5273	330	15	concrete	concrete	ADJ
fis-5273	330	16	bridges	bridge	NOUN
fis-5273	330	17	,	,	PUNCT
fis-5273	330	18	structures	structure	NOUN
fis-5273	330	19	,	,	PUNCT
fis-5273	330	20	57	57	NUM
fis-5273	330	21	.	.	PUNCT
fis-5273	331	1	doi	doi	NOUN
fis-5273	331	2	:	:	PUNCT
fis-5273	331	3	10.1016	10.1016	NUM
fis-5273	331	4	/	/	SYM
fis-5273	331	5	j.istruc.2023.105248	j.istruc.2023.105248	PROPN
fis-5273	331	6	.	.	PUNCT
fis-5273	332	1	[	[	X
fis-5273	332	2	9	9	NUM
fis-5273	332	3	]	]	X
fis-5273	332	4	huang	huang	PROPN
fis-5273	332	5	,	,	PUNCT
fis-5273	332	6	y.	y.	PROPN
fis-5273	332	7	,	,	PUNCT
fis-5273	332	8	wu	wu	PROPN
fis-5273	332	9	,	,	PUNCT
fis-5273	332	10	k.	k.	PROPN
fis-5273	332	11	(	(	PUNCT
fis-5273	332	12	2020	2020	NUM
fis-5273	332	13	)	)	PUNCT
fis-5273	332	14	.	.	PUNCT
fis-5273	333	1	vibration	vibration	NOUN
fis-5273	333	2	-	-	PUNCT
fis-5273	333	3	based	base	VERB
fis-5273	333	4	pervasive	pervasive	ADJ
fis-5273	333	5	computing	computing	NOUN
fis-5273	333	6	and	and	CCONJ
fis-5273	333	7	intelligent	intelligent	ADJ
fis-5273	333	8	sensing	sensing	NOUN
fis-5273	333	9	,	,	PUNCT
fis-5273	333	10	ccf	ccf	ADP
fis-5273	333	11	transactions	transaction	NOUN
fis-5273	333	12	on	on	ADP
fis-5273	333	13	pervasive	pervasive	ADJ
fis-5273	333	14	computing	computing	NOUN
fis-5273	333	15	and	and	CCONJ
fis-5273	333	16	interaction	interaction	NOUN
fis-5273	333	17	,	,	PUNCT
fis-5273	333	18	2(4	2(4	NUM
fis-5273	333	19	)	)	PUNCT
fis-5273	333	20	.	.	PUNCT
fis-5273	334	1	doi	doi	NOUN
fis-5273	334	2	:	:	PUNCT
fis-5273	334	3	10.1007	10.1007	NUM
fis-5273	334	4	/	/	SYM
fis-5273	334	5	s42486	s42486	NOUN
fis-5273	334	6	-	-	PUNCT
fis-5273	334	7	020	020	NUM
fis-5273	334	8	-	-	PUNCT
fis-5273	334	9	00049	00049	NUM
fis-5273	334	10	-	-	SYM
fis-5273	334	11	9	9	NUM
fis-5273	334	12	.	.	PUNCT
fis-5273	335	1	[	[	X
fis-5273	335	2	10	10	NUM
fis-5273	335	3	]	]	PUNCT
fis-5273	335	4	huong	huong	PROPN
fis-5273	335	5	duong	duong	PROPN
fis-5273	335	6	nguyen	nguyen	PROPN
fis-5273	335	7	.	.	PUNCT
fis-5273	336	1	,	,	PUNCT
fis-5273	336	2	samir	samir	PROPN
fis-5273	336	3	khatir	khatir	PROPN
fis-5273	336	4	.	.	PROPN
fis-5273	336	5	,	,	PUNCT
fis-5273	336	6	quoc	quoc	PROPN
fis-5273	336	7	bao	bao	PROPN
fis-5273	336	8	nguyen	nguyen	PROPN
fis-5273	336	9	.	.	PUNCT
fis-5273	337	1	(	(	PUNCT
fis-5273	337	2	2024	2024	NUM
fis-5273	337	3	)	)	PUNCT
fis-5273	337	4	.	.	PUNCT
fis-5273	338	1	a	a	DET
fis-5273	338	2	novel	novel	ADJ
fis-5273	338	3	method	method	NOUN
fis-5273	338	4	for	for	ADP
fis-5273	338	5	the	the	DET
fis-5273	338	6	estimation	estimation	NOUN
fis-5273	338	7	of	of	ADP
fis-5273	338	8	the	the	DET
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fis-5273	338	10	modulus	modulus	NOUN
fis-5273	338	11	of	of	ADP
fis-5273	338	12	ultra	ultra	ADJ
fis-5273	338	13	-	-	ADJ
fis-5273	338	14	high	high	ADJ
fis-5273	338	15	performance	performance	NOUN
fis-5273	338	16	concrete	concrete	NOUN
fis-5273	338	17	using	use	VERB
fis-5273	338	18	vibration	vibration	NOUN
fis-5273	338	19	data	datum	NOUN
fis-5273	338	20	,	,	PUNCT
fis-5273	338	21	engineering	engineering	NOUN
fis-5273	338	22	,	,	PUNCT
fis-5273	338	23	technology	technology	NOUN
fis-5273	338	24	&	&	CCONJ
fis-5273	338	25	applied	apply	VERB
fis-5273	338	26	science	science	NOUN
fis-5273	338	27	research	research	NOUN
fis-5273	338	28	,	,	PUNCT
fis-5273	338	29	14(4	14(4	NUM
fis-5273	338	30	)	)	PUNCT
fis-5273	338	31	,	,	PUNCT
fis-5273	338	32	pp	pp	ADJ
fis-5273	338	33	.	.	PUNCT
fis-5273	339	1	15447–15453	15447–15453	NUM
fis-5273	339	2	.	.	PUNCT
fis-5273	340	1	[	[	X
fis-5273	340	2	11	11	NUM
fis-5273	340	3	]	]	X
fis-5273	340	4	javanmardi	javanmardi	NOUN
fis-5273	340	5	,	,	PUNCT
fis-5273	340	6	r.	r.	PROPN
fis-5273	340	7	,	,	PUNCT
fis-5273	340	8	ahmadi	ahmadi	PROPN
fis-5273	340	9	-	-	PUNCT
fis-5273	340	10	nedushan	nedushan	PROPN
fis-5273	340	11	,	,	PUNCT
fis-5273	340	12	b.	b.	PROPN
fis-5273	340	13	(	(	PUNCT
fis-5273	340	14	2023	2023	NUM
fis-5273	340	15	)	)	PUNCT
fis-5273	340	16	.	.	PUNCT
fis-5273	341	1	optimal	optimal	ADJ
fis-5273	341	2	design	design	NOUN
fis-5273	341	3	of	of	ADP
fis-5273	341	4	double	double	ADJ
fis-5273	341	5	-	-	PUNCT
fis-5273	341	6	layer	layer	NOUN
fis-5273	341	7	barrel	barrel	NOUN
fis-5273	341	8	vaults	vault	NOUN
fis-5273	341	9	using	use	VERB
fis-5273	341	10	genetic	genetic	ADJ
fis-5273	341	11	and	and	CCONJ
fis-5273	341	12	pattern	pattern	NOUN
fis-5273	341	13	search	search	NOUN
fis-5273	341	14	algorithms	algorithm	NOUN
fis-5273	341	15	and	and	CCONJ
fis-5273	341	16	optimized	optimize	VERB
fis-5273	341	17	neural	neural	ADJ
fis-5273	341	18	network	network	NOUN
fis-5273	341	19	as	as	ADP
fis-5273	341	20	surrogate	surrogate	ADJ
fis-5273	341	21	model	model	NOUN
fis-5273	341	22	,	,	PUNCT
fis-5273	341	23	frontiers	frontier	NOUN
fis-5273	341	24	of	of	ADP
fis-5273	341	25	structural	structural	ADJ
fis-5273	341	26	and	and	CCONJ
fis-5273	341	27	civil	civil	ADJ
fis-5273	341	28	engineering	engineering	NOUN
fis-5273	341	29	,	,	PUNCT
fis-5273	341	30	17(3	17(3	NUM
fis-5273	341	31	)	)	PUNCT
fis-5273	341	32	.	.	PUNCT
fis-5273	342	1	doi	doi	NOUN
fis-5273	342	2	:	:	PUNCT
fis-5273	342	3	10.1007	10.1007	NUM
fis-5273	342	4	/	/	SYM
fis-5273	342	5	s11709	s11709	NOUN
fis-5273	342	6	-	-	PUNCT
fis-5273	342	7	022	022	NUM
fis-5273	342	8	-	-	PUNCT
fis-5273	342	9	0899	0899	NUM
fis-5273	342	10	-	-	SYM
fis-5273	342	11	9	9	NUM
fis-5273	342	12	.	.	PUNCT
fis-5273	343	1	[	[	X
fis-5273	343	2	12	12	NUM
fis-5273	343	3	]	]	PUNCT
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fis-5273	343	5	,	,	PUNCT
fis-5273	343	6	y.	y.	PROPN
fis-5273	343	7	,	,	PUNCT
fis-5273	343	8	hu	hu	PROPN
fis-5273	343	9	,	,	PUNCT
fis-5273	343	10	y.	y.	PROPN
fis-5273	343	11	,	,	PUNCT
fis-5273	343	12	shao	shao	PROPN
fis-5273	343	13	,	,	PUNCT
fis-5273	343	14	x.	x.	NOUN
fis-5273	343	15	(	(	PUNCT
fis-5273	343	16	2020	2020	NUM
fis-5273	343	17	)	)	PUNCT
fis-5273	343	18	.	.	PUNCT
fis-5273	344	1	application	application	NOUN
fis-5273	344	2	of	of	ADP
fis-5273	344	3	wavelet	wavelet	NOUN
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fis-5273	344	5	in	in	ADP
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fis-5273	344	7	health	health	NOUN
fis-5273	344	8	monitoring	monitoring	NOUN
fis-5273	344	9	,	,	PUNCT
fis-5273	344	10	earthquake	earthquake	NOUN
fis-5273	344	11	engineering	engineering	NOUN
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fis-5273	344	13	engineering	engineering	NOUN
fis-5273	344	14	vibration	vibration	NOUN
fis-5273	344	15	,	,	PUNCT
fis-5273	344	16	19(2	19(2	NUM
fis-5273	344	17	)	)	PUNCT
fis-5273	344	18	.	.	PUNCT
fis-5273	345	1	doi	doi	NOUN
fis-5273	345	2	:	:	PUNCT
fis-5273	345	3	10.1007	10.1007	NUM
fis-5273	345	4	/	/	SYM
fis-5273	345	5	s11803	s11803	NOUN
fis-5273	345	6	-	-	PUNCT
fis-5273	345	7	020	020	NUM
fis-5273	345	8	-	-	PUNCT
fis-5273	345	9	0576	0576	NUM
fis-5273	345	10	-	-	SYM
fis-5273	345	11	8	8	NUM
fis-5273	345	12	.	.	PUNCT
fis-5273	346	1	[	[	X
fis-5273	346	2	13	13	NUM
fis-5273	346	3	]	]	PUNCT
fis-5273	346	4	malekloo	malekloo	VERB
fis-5273	346	5	,	,	PUNCT
fis-5273	346	6	a.	a.	NOUN
fis-5273	346	7	,	,	PUNCT
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fis-5273	346	9	,	,	PUNCT
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fis-5273	346	11	,	,	PUNCT
fis-5273	346	12	alhamaydeh	alhamaydeh	PROPN
fis-5273	346	13	,	,	PUNCT
fis-5273	346	14	m.	m.	NOUN
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fis-5273	346	17	,	,	PUNCT
fis-5273	346	18	m.	m.	NOUN
fis-5273	346	19	(	(	PUNCT
fis-5273	346	20	2022	2022	NUM
fis-5273	346	21	)	)	PUNCT
fis-5273	346	22	.	.	PUNCT
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fis-5273	346	28	monitoring	monitoring	NOUN
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fis-5273	346	31	emerging	emerge	VERB
fis-5273	346	32	technology	technology	NOUN
fis-5273	346	33	and	and	CCONJ
fis-5273	346	34	high	high	ADJ
fis-5273	346	35	-	-	PUNCT
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fis-5273	346	38	source	source	NOUN
fis-5273	346	39	highlights	highlight	NOUN
fis-5273	346	40	,	,	PUNCT
fis-5273	346	41	struct	struct	VERB
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fis-5273	346	44	.	.	PUNCT
fis-5273	347	1	doi	doi	NOUN
fis-5273	347	2	:	:	PUNCT
fis-5273	347	3	10.1177/14759217211036880	10.1177/14759217211036880	NUM
fis-5273	347	4	.	.	PUNCT
fis-5273	348	1	[	[	X
fis-5273	348	2	14	14	NUM
fis-5273	348	3	]	]	X
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fis-5273	348	5	,	,	PUNCT
fis-5273	348	6	s.g	s.g	PROPN
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fis-5273	348	8	(	(	PUNCT
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fis-5273	348	10	)	)	PUNCT
fis-5273	348	11	.	.	PUNCT
fis-5273	349	1	a	a	DET
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fis-5273	349	4	multiresolution	multiresolution	NOUN
fis-5273	349	5	signal	signal	NOUN
fis-5273	349	6	decomposition	decomposition	NOUN
fis-5273	349	7	:	:	PUNCT
fis-5273	349	8	the	the	DET
fis-5273	349	9	wavelet	wavelet	NOUN
fis-5273	349	10	representation	representation	NOUN
fis-5273	349	11	,	,	PUNCT
fis-5273	349	12	ieee	ieee	NOUN
fis-5273	349	13	trans	trans	PROPN
fis-5273	349	14	pattern	pattern	NOUN
fis-5273	349	15	anal	anal	PROPN
fis-5273	349	16	mach	mach	PROPN
fis-5273	349	17	intell	intell	NOUN
fis-5273	349	18	,	,	PUNCT
fis-5273	349	19	11(7	11(7	NUM
fis-5273	349	20	)	)	PUNCT
fis-5273	349	21	.	.	PUNCT
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fis-5273	350	2	:	:	PUNCT
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fis-5273	350	4	.	.	X
fis-5273	351	1	t	t	PROPN
fis-5273	351	2	d.	d.	PROPN
fis-5273	351	3	h.	h.	PROPN
fis-5273	351	4	nguyen	nguyen	PROPN
fis-5273	351	5	et	et	PROPN
fis-5273	351	6	alii	alii	PROPN
fis-5273	351	7	,	,	PUNCT
fis-5273	351	8	fracture	fracture	ADJ
fis-5273	351	9	and	and	CCONJ
fis-5273	351	10	structural	structural	ADJ
fis-5273	351	11	integrity	integrity	NOUN
fis-5273	351	12	,	,	PUNCT
fis-5273	351	13	72	72	NUM
fis-5273	351	14	(	(	PUNCT
fis-5273	351	15	2025	2025	NUM
fis-5273	351	16	)	)	PUNCT
fis-5273	351	17	121	121	NUM
fis-5273	351	18	-	-	SYM
fis-5273	351	19	136	136	NUM
fis-5273	351	20	;	;	PUNCT
fis-5273	351	21	doi	doi	NOUN
fis-5273	351	22	:	:	PUNCT
fis-5273	351	23	10.3221	10.3221	NUM
fis-5273	351	24	/	/	SYM
fis-5273	351	25	igf	igf	PROPN
fis-5273	351	26	-	-	ADJ
fis-5273	351	27	esis.72.09	esis.72.09	PROPN
fis-5273	351	28	136	136	NUM
fis-5273	352	1	[	[	X
fis-5273	352	2	15	15	NUM
fis-5273	352	3	]	]	X
fis-5273	352	4	mihai	mihai	PROPN
fis-5273	352	5	,	,	PUNCT
fis-5273	352	6	s.	s.	PROPN
fis-5273	352	7	,	,	PUNCT
fis-5273	352	8	yaqoob	yaqoob	NOUN
fis-5273	352	9	,	,	PUNCT
fis-5273	352	10	m.	m.	NOUN
fis-5273	352	11	,	,	PUNCT
fis-5273	352	12	hung	hung	PROPN
fis-5273	352	13	,	,	PUNCT
fis-5273	352	14	d.	d.	PROPN
fis-5273	352	15	v.	v.	PROPN
fis-5273	352	16	,	,	PUNCT
fis-5273	352	17	davis	davis	PROPN
fis-5273	352	18	,	,	PUNCT
fis-5273	352	19	w.	w.	PROPN
fis-5273	352	20	,	,	PUNCT
fis-5273	352	21	towakel	towakel	PROPN
fis-5273	352	22	,	,	PUNCT
fis-5273	352	23	p.	p.	NOUN
fis-5273	352	24	,	,	PUNCT
fis-5273	352	25	raza	raza	PROPN
fis-5273	352	26	,	,	PUNCT
fis-5273	352	27	m.	m.	NOUN
fis-5273	352	28	,	,	PUNCT
fis-5273	352	29	karamanoglu	karamanoglu	PROPN
fis-5273	352	30	,	,	PUNCT
fis-5273	352	31	m.	m.	NOUN
fis-5273	352	32	,	,	PUNCT
fis-5273	352	33	barn	barn	PROPN
fis-5273	352	34	,	,	PUNCT
fis-5273	352	35	b.	b.	PROPN
fis-5273	352	36	,	,	PUNCT
fis-5273	352	37	shetve	shetve	VERB
fis-5273	352	38	,	,	PUNCT
fis-5273	352	39	d.	d.	PROPN
fis-5273	352	40	,	,	PUNCT
fis-5273	352	41	prasad	prasad	PROPN
fis-5273	352	42	,	,	PUNCT
fis-5273	352	43	r.	r.	PROPN
fis-5273	352	44	v.	v.	PROPN
fis-5273	352	45	,	,	PUNCT
fis-5273	352	46	venkataraman	venkataraman	PROPN
fis-5273	352	47	,	,	PUNCT
fis-5273	352	48	h.	h.	PROPN
fis-5273	352	49	,	,	PUNCT
fis-5273	352	50	trestian	trestian	PROPN
fis-5273	352	51	,	,	PUNCT
fis-5273	352	52	r.	r.	PROPN
fis-5273	352	53	,	,	PUNCT
fis-5273	352	54	nguyen	nguyen	PROPN
fis-5273	352	55	,	,	PUNCT
fis-5273	352	56	h.x	h.x	PROPN
fis-5273	352	57	.	.	PROPN
fis-5273	352	58	(	(	PUNCT
fis-5273	352	59	2022	2022	NUM
fis-5273	352	60	)	)	PUNCT
fis-5273	352	61	.	.	PUNCT
fis-5273	353	1	digital	digital	ADJ
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fis-5273	353	3	:	:	PUNCT
fis-5273	353	4	a	a	DET
fis-5273	353	5	survey	survey	NOUN
fis-5273	353	6	on	on	ADP
fis-5273	353	7	enabling	enable	VERB
fis-5273	353	8	technologies	technology	NOUN
fis-5273	353	9	,	,	PUNCT
fis-5273	353	10	challenges	challenge	NOUN
fis-5273	353	11	,	,	PUNCT
fis-5273	353	12	trends	trend	NOUN
fis-5273	353	13	and	and	CCONJ
fis-5273	353	14	future	future	ADJ
fis-5273	353	15	prospects	prospect	NOUN
fis-5273	353	16	,	,	PUNCT
fis-5273	353	17	ieee	ieee	NOUN
fis-5273	353	18	communications	communication	NOUN
fis-5273	353	19	surveys	survey	NOUN
fis-5273	353	20	and	and	CCONJ
fis-5273	353	21	tutorials	tutorial	NOUN
fis-5273	353	22	,	,	PUNCT
fis-5273	353	23	24(4	24(4	NUM
fis-5273	353	24	)	)	PUNCT
fis-5273	353	25	.	.	PUNCT
fis-5273	354	1	doi	doi	NOUN
fis-5273	354	2	:	:	PUNCT
fis-5273	354	3	10.1109	10.1109	NUM
fis-5273	354	4	/	/	SYM
fis-5273	354	5	comst.2022.3208773	comst.2022.3208773	PROPN
fis-5273	354	6	.	.	PUNCT
fis-5273	355	1	[	[	X
fis-5273	355	2	16	16	NUM
fis-5273	355	3	]	]	X
fis-5273	355	4	minh	minh	PROPN
fis-5273	355	5	,	,	PUNCT
fis-5273	355	6	h.	h.	PROPN
fis-5273	355	7	le	le	PROPN
fis-5273	355	8	.	.	PROPN
fis-5273	355	9	,	,	PUNCT
fis-5273	355	10	sang	sang	VERB
fis-5273	355	11	-	-	PUNCT
fis-5273	355	12	to	to	NOUN
fis-5273	355	13	,	,	PUNCT
fis-5273	355	14	t.	t.	PROPN
fis-5273	355	15	,	,	PUNCT
fis-5273	355	16	abdel	abdel	PROPN
fis-5273	355	17	wahab	wahab	PROPN
fis-5273	355	18	,	,	PUNCT
fis-5273	355	19	m.	m.	NOUN
fis-5273	355	20	,	,	PUNCT
fis-5273	355	21	cuong	cuong	PROPN
fis-5273	355	22	-	-	PUNCT
fis-5273	355	23	le	le	PROPN
fis-5273	355	24	,	,	PUNCT
fis-5273	355	25	t.	t.	PROPN
fis-5273	355	26	(	(	PUNCT
fis-5273	355	27	2022	2022	NUM
fis-5273	355	28	)	)	PUNCT
fis-5273	355	29	.	.	PUNCT
fis-5273	356	1	structural	structural	ADJ
fis-5273	356	2	damage	damage	NOUN
fis-5273	356	3	identification	identification	NOUN
fis-5273	356	4	in	in	ADP
fis-5273	356	5	thin	thin	ADJ
fis-5273	356	6	-	-	PUNCT
fis-5273	356	7	shell	shell	NOUN
fis-5273	356	8	structures	structure	NOUN
fis-5273	356	9	using	use	VERB
fis-5273	356	10	a	a	DET
fis-5273	356	11	new	new	ADJ
fis-5273	356	12	technique	technique	NOUN
fis-5273	356	13	combining	combine	VERB
fis-5273	356	14	finite	finite	PROPN
fis-5273	356	15	element	element	NOUN
fis-5273	356	16	model	model	NOUN
fis-5273	356	17	updating	updating	NOUN
fis-5273	356	18	and	and	CCONJ
fis-5273	356	19	improved	improve	VERB
fis-5273	356	20	cuckoo	cuckoo	NOUN
fis-5273	356	21	search	search	NOUN
fis-5273	356	22	algorithm	algorithm	NOUN
fis-5273	356	23	,	,	PUNCT
fis-5273	356	24	advances	advance	NOUN
fis-5273	356	25	in	in	ADP
fis-5273	356	26	engineering	engineering	NOUN
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fis-5273	356	28	,	,	PUNCT
fis-5273	356	29	173	173	NUM
fis-5273	356	30	.	.	PUNCT
fis-5273	356	31	doi	doi	NOUN
fis-5273	356	32	:	:	PUNCT
fis-5273	356	33	10.1016	10.1016	NUM
fis-5273	356	34	/	/	SYM
fis-5273	356	35	j.advengsoft.2022.103206	j.advengsoft.2022.103206	NOUN
fis-5273	356	36	.	.	PUNCT
fis-5273	357	1	[	[	X
fis-5273	357	2	17	17	NUM
fis-5273	357	3	]	]	PUNCT
fis-5273	357	4	misiti	misiti	NOUN
fis-5273	357	5	,	,	PUNCT
fis-5273	357	6	m.	m.	NOUN
fis-5273	357	7	,	,	PUNCT
fis-5273	357	8	misiti	misiti	NOUN
fis-5273	357	9	,	,	PUNCT
fis-5273	357	10	y.	y.	PROPN
fis-5273	357	11	,	,	PUNCT
fis-5273	357	12	oppenheim	oppenheim	PROPN
fis-5273	357	13	,	,	PUNCT
fis-5273	357	14	g.	g.	PROPN
fis-5273	357	15	,	,	PUNCT
fis-5273	357	16	poggi	poggi	NOUN
fis-5273	357	17	,	,	PUNCT
fis-5273	357	18	j.-m	j.-m	PROPN
fis-5273	357	19	.	.	PROPN
fis-5273	357	20	,	,	PUNCT
fis-5273	357	21	mathworks	mathworks	PROPN
fis-5273	357	22	.	.	PUNCT
fis-5273	357	23	(	(	PUNCT
fis-5273	357	24	2015	2015	NUM
fis-5273	357	25	)	)	PUNCT
fis-5273	357	26	.	.	PUNCT
fis-5273	357	27	wavelet	wavelet	NOUN
fis-5273	357	28	toolbox	toolbox	PROPN
fis-5273	357	29	user	user	PROPN
fis-5273	357	30	’s	’s	PART
fis-5273	357	31	guide	guide	NOUN
fis-5273	357	32	,	,	PUNCT
fis-5273	357	33	the	the	DET
fis-5273	357	34	mathworks	mathworks	PROPN
fis-5273	357	35	,	,	PUNCT
fis-5273	357	36	inc	inc	PROPN
fis-5273	357	37	.	.	PUNCT
fis-5273	358	1	[	[	X
fis-5273	358	2	18	18	NUM
fis-5273	358	3	]	]	X
fis-5273	358	4	nguyen	nguyen	NOUN
fis-5273	358	5	,	,	PUNCT
fis-5273	358	6	d.h	d.h	PROPN
fis-5273	358	7	.	.	PROPN
fis-5273	358	8	,	,	PUNCT
fis-5273	358	9	nguyen	nguyen	PROPN
fis-5273	358	10	,	,	PUNCT
fis-5273	358	11	q.b	q.b	PROPN
fis-5273	358	12	.	.	PROPN
fis-5273	358	13	,	,	PUNCT
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fis-5273	358	17	,	,	PUNCT
fis-5273	358	18	t.	t.	PROPN
fis-5273	358	19	,	,	PUNCT
fis-5273	358	20	de	de	X
fis-5273	358	21	roeck	roeck	PROPN
fis-5273	358	22	,	,	PUNCT
fis-5273	358	23	g.	g.	PROPN
fis-5273	358	24	,	,	PUNCT
fis-5273	358	25	abdel	abdel	PROPN
fis-5273	358	26	wahab	wahab	PROPN
fis-5273	358	27	,	,	PUNCT
fis-5273	358	28	m.	m.	NOUN
fis-5273	358	29	(	(	PUNCT
fis-5273	358	30	2020	2020	NUM
fis-5273	358	31	)	)	PUNCT
fis-5273	358	32	.	.	PUNCT
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fis-5273	359	10	smoothing	smoothing	NOUN
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fis-5273	359	14	neural	neural	ADJ
fis-5273	359	15	network	network	NOUN
fis-5273	359	16	:	:	PUNCT
fis-5273	359	17	application	application	NOUN
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fis-5273	359	19	bo	bo	PROPN
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fis-5273	359	22	,	,	PUNCT
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fis-5273	359	24	and	and	CCONJ
fis-5273	359	25	applied	apply	VERB
fis-5273	359	26	fracture	fracture	NOUN
fis-5273	359	27	mechanics	mechanic	NOUN
fis-5273	359	28	,	,	PUNCT
fis-5273	359	29	109	109	NUM
fis-5273	359	30	.	.	PUNCT
fis-5273	360	1	doi	doi	NOUN
fis-5273	360	2	:	:	PUNCT
fis-5273	360	3	10.1016	10.1016	NUM
fis-5273	360	4	/	/	SYM
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fis-5273	360	6	.	.	PUNCT
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fis-5273	361	3	]	]	SYM
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fis-5273	361	5	,	,	PUNCT
fis-5273	361	6	s.j	s.j	PROPN
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fis-5273	361	8	,	,	PUNCT
fis-5273	361	9	yang	yang	PROPN
fis-5273	361	10	,	,	PUNCT
fis-5273	361	11	q.	q.	PROPN
fis-5273	361	12	(	(	PUNCT
fis-5273	361	13	2010	2010	NUM
fis-5273	361	14	)	)	PUNCT
fis-5273	361	15	.	.	PUNCT
fis-5273	362	1	a	a	DET
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fis-5273	362	3	on	on	ADP
fis-5273	362	4	transfer	transfer	NOUN
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fis-5273	362	7	ieee	ieee	PROPN
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fis-5273	362	10	data	data	PROPN
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fis-5273	362	12	.	.	PUNCT
fis-5273	363	1	doi	doi	PROPN
fis-5273	363	2	:	:	PUNCT
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fis-5273	363	4	/	/	SYM
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fis-5273	363	6	.	.	PUNCT
fis-5273	364	1	[	[	X
fis-5273	364	2	20	20	NUM
fis-5273	364	3	]	]	X
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fis-5273	364	5	,	,	PUNCT
fis-5273	364	6	m.	m.	NOUN
fis-5273	364	7	,	,	PUNCT
fis-5273	364	8	sadhu	sadhu	NOUN
fis-5273	364	9	,	,	PUNCT
fis-5273	364	10	a.	a.	NOUN
fis-5273	364	11	(	(	PUNCT
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fis-5273	364	13	)	)	PUNCT
fis-5273	364	14	.	.	PUNCT
fis-5273	365	1	recent	recent	ADJ
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fis-5273	366	1	doi	doi	NOUN
fis-5273	366	2	:	:	PUNCT
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fis-5273	366	4	-	-	PUNCT
fis-5273	366	5	665x	665x	NOUN
fis-5273	366	6	/	/	SYM
fis-5273	366	7	ad2bd7	ad2bd7	NOUN
fis-5273	366	8	.	.	PUNCT
fis-5273	367	1	[	[	X
fis-5273	367	2	21	21	NUM
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fis-5273	367	5	,	,	PUNCT
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fis-5273	367	7	,	,	PUNCT
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fis-5273	367	15	(	(	PUNCT
fis-5273	367	16	2023	2023	NUM
fis-5273	367	17	)	)	PUNCT
fis-5273	367	18	.	.	PUNCT
fis-5273	368	1	machine	machine	NOUN
fis-5273	368	2	learning	learning	NOUN
fis-5273	368	3	-	-	PUNCT
fis-5273	368	4	assisted	assist	VERB
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fis-5273	368	6	anomaly	anomaly	NOUN
fis-5273	368	7	detection	detection	NOUN
fis-5273	368	8	for	for	ADP
fis-5273	368	9	structural	structural	ADJ
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fis-5273	368	11	monitoring	monitoring	NOUN
fis-5273	368	12	,	,	PUNCT
fis-5273	368	13	sensors	sensor	NOUN
fis-5273	368	14	,	,	PUNCT
fis-5273	368	15	23(7	23(7	NUM
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fis-5273	369	6	.	.	PUNCT
fis-5273	370	1	[	[	X
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fis-5273	370	4	sifre	sifre	PROPN
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fis-5273	370	8	2014	2014	NUM
fis-5273	370	9	)	)	PUNCT
fis-5273	370	10	.	.	PUNCT
fis-5273	371	1	phd	phd	NOUN
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fis-5273	371	4	-	-	PUNCT
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fis-5273	371	8	image	image	NOUN
fis-5273	371	9	classification	classification	NOUN
fis-5273	371	10	.	.	PUNCT
fis-5273	372	1	[	[	X
fis-5273	372	2	23	23	NUM
fis-5273	372	3	]	]	X
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fis-5273	372	5	,	,	PUNCT
fis-5273	372	6	h.	h.	PROPN
fis-5273	372	7	,	,	PUNCT
fis-5273	372	8	qi	qi	PROPN
fis-5273	372	9	,	,	PUNCT
fis-5273	372	10	q.	q.	PROPN
fis-5273	372	11	,	,	PUNCT
fis-5273	372	12	ji	ji	PROPN
fis-5273	372	13	,	,	PUNCT
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fis-5273	372	17	,	,	PUNCT
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fis-5273	372	20	2023	2023	NUM
fis-5273	372	21	)	)	PUNCT
fis-5273	372	22	.	.	PUNCT
fis-5273	373	1	an	an	DET
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fis-5273	373	4	for	for	ADP
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fis-5273	373	11	,	,	PUNCT
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fis-5273	373	16	,	,	PUNCT
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fis-5273	373	18	.	.	PUNCT
fis-5273	374	1	doi	doi	NOUN
fis-5273	374	2	:	:	PUNCT
fis-5273	374	3	10.1016	10.1016	NUM
fis-5273	374	4	/	/	SYM
fis-5273	374	5	j.rcim.2022.102481	j.rcim.2022.102481	NOUN
fis-5273	374	6	.	.	PUNCT
fis-5273	375	1	[	[	X
fis-5273	375	2	24	24	NUM
fis-5273	375	3	]	]	X
fis-5273	375	4	zhao	zhao	PROPN
fis-5273	375	5	,	,	PUNCT
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fis-5273	375	7	,	,	PUNCT
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fis-5273	375	9	,	,	PUNCT
fis-5273	375	10	r.	r.	PROPN
fis-5273	375	11	,	,	PUNCT
fis-5273	375	12	chen	chen	PROPN
fis-5273	375	13	,	,	PUNCT
fis-5273	375	14	z.	z.	PROPN
fis-5273	375	15	,	,	PUNCT
fis-5273	375	16	mao	mao	PROPN
fis-5273	375	17	,	,	PUNCT
fis-5273	375	18	k.	k.	PROPN
fis-5273	375	19	,	,	PUNCT
fis-5273	375	20	wang	wang	PROPN
fis-5273	375	21	,	,	PUNCT
fis-5273	375	22	p.	p.	PROPN
fis-5273	375	23	,	,	PUNCT
fis-5273	375	24	gao	gao	PROPN
fis-5273	375	25	,	,	PUNCT
fis-5273	375	26	r.x	r.x	PROPN
fis-5273	375	27	.	.	PROPN
fis-5273	375	28	(	(	PUNCT
fis-5273	375	29	2019	2019	NUM
fis-5273	375	30	)	)	PUNCT
fis-5273	375	31	.	.	PUNCT
fis-5273	376	1	deep	deep	ADJ
fis-5273	376	2	learning	learning	NOUN
fis-5273	376	3	and	and	CCONJ
fis-5273	376	4	its	its	PRON
fis-5273	376	5	applications	application	NOUN
fis-5273	376	6	to	to	PART
fis-5273	376	7	machine	machine	VERB
fis-5273	376	8	health	health	NOUN
fis-5273	376	9	monitoring	monitoring	NOUN
fis-5273	376	10	,	,	PUNCT
fis-5273	376	11	mech	mech	NOUN
fis-5273	376	12	syst	syst	NOUN
fis-5273	376	13	signal	signal	NOUN
fis-5273	376	14	process	process	NOUN
fis-5273	376	15	.	.	PUNCT
fis-5273	377	1	doi	doi	NOUN
fis-5273	377	2	:	:	PUNCT
fis-5273	377	3	10.1016	10.1016	NUM
fis-5273	377	4	/	/	SYM
fis-5273	377	5	j.ymssp.2018.05.050	j.ymssp.2018.05.050	PROPN
fis-5273	377	6	.	.	PUNCT
fis-5273	378	1	<	<	X
fis-5273	378	2	<	<	X
fis-5273	378	3	/ascii85encodepages	/ascii85encodepage	NOUN
fis-5273	378	4	false	false	ADJ
fis-5273	378	5	/allowtransparency	/allowtransparency	NOUN
fis-5273	378	6	false	false	ADJ
fis-5273	378	7	/autopositionepsfiles	/autopositionepsfile	NOUN
fis-5273	378	8	true	true	ADJ
fis-5273	378	9	/autorotatepages	/autorotatepage	NOUN
fis-5273	378	10	/none	/none	PUNCT
fis-5273	378	11	/binding	/binding	PUNCT
fis-5273	378	12	/left	/left	ADJ
fis-5273	379	1	/calgrayprofile	/calgrayprofile	VERB
fis-5273	379	2	(	(	PUNCT
fis-5273	379	3	dot	dot	NOUN
fis-5273	379	4	gain	gain	NOUN
fis-5273	379	5	20	20	NUM
fis-5273	379	6	%	%	NOUN
fis-5273	379	7	)	)	PUNCT
fis-5273	379	8	/calrgbprofile	/calrgbprofile	PUNCT
fis-5273	380	1	(	(	PUNCT
fis-5273	380	2	srgb	srgb	PROPN
fis-5273	380	3	iec61966	iec61966	NOUN
fis-5273	380	4	-	-	PUNCT
fis-5273	380	5	2.1	2.1	NUM
fis-5273	380	6	)	)	PUNCT
fis-5273	380	7	/calcmykprofile	/calcmykprofile	PUNCT
fis-5273	381	1	(	(	PUNCT
fis-5273	381	2	u.s	u.s	PROPN
fis-5273	381	3	.	.	PROPN
fis-5273	381	4	web	web	NOUN
fis-5273	381	5	coated	coat	VERB
fis-5273	381	6	\050swop\051	\050swop\051	ADJ
fis-5273	381	7	v2	v2	NOUN
fis-5273	381	8	)	)	PUNCT
fis-5273	381	9	/srgbprofile	/srgbprofile	PUNCT
fis-5273	381	10	(	(	PUNCT
fis-5273	381	11	srgb	srgb	PROPN
fis-5273	381	12	iec61966	iec61966	NOUN
fis-5273	381	13	-	-	PUNCT
fis-5273	381	14	2.1	2.1	NUM
fis-5273	381	15	)	)	PUNCT
fis-5273	381	16	/cannotembedfontpolicy	/cannotembedfontpolicy	PUNCT
fis-5273	382	1	/error	/error	INTJ
fis-5273	382	2	/compatibilitylevel	/compatibilitylevel	NOUN
fis-5273	383	1	1.4	1.4	NUM
fis-5273	383	2	/compressobjects	/compressobject	NOUN
fis-5273	383	3	/tags	/tag	VERB
fis-5273	383	4	/compresspages	/compresspage	NOUN
fis-5273	383	5	true	true	ADJ
fis-5273	383	6	/convertimagestoindexed	/convertimagestoindexed	ADJ
fis-5273	383	7	true	true	ADJ
fis-5273	383	8	/passthroughjpegimages	/passthroughjpegimage	NOUN
fis-5273	383	9	true	true	ADJ
fis-5273	383	10	/createjobticket	/createjobticket	NOUN
fis-5273	383	11	false	false	ADJ
fis-5273	383	12	/defaultrenderingintent	/defaultrenderingintent	NOUN
fis-5273	383	13	/default	/default	PUNCT
fis-5273	383	14	/detectblends	/detectblend	NOUN
fis-5273	383	15	true	true	ADJ
fis-5273	383	16	/detectcurves	/detectcurve	VERB
fis-5273	384	1	0.0000	0.0000	NUM
fis-5273	384	2	/colorconversionstrategy	/colorconversionstrategy	NOUN
fis-5273	384	3	/cmyk	/cmyk	PUNCT
fis-5273	385	1	/dothumbnails	/dothumbnail	VERB
fis-5273	386	1	false	false	ADJ
fis-5273	386	2	/embedallfonts	/embedallfont	NOUN
fis-5273	386	3	true	true	ADJ
fis-5273	386	4	/embedopentype	/embedopentype	PUNCT
fis-5273	386	5	false	false	ADJ
fis-5273	386	6	/parseiccprofilesincomments	/parseiccprofilesincomment	NOUN
fis-5273	386	7	true	true	ADJ
fis-5273	386	8	/embedjoboptions	/embedjoboption	NOUN
fis-5273	386	9	true	true	ADJ
fis-5273	386	10	/dscreportinglevel	/dscreportinglevel	NOUN
fis-5273	386	11	0	0	NUM
fis-5273	386	12	/emitdscwarnings	/emitdscwarning	NOUN
fis-5273	386	13	false	false	ADJ
fis-5273	386	14	/endpage	/endpage	NOUN
fis-5273	386	15	-1	-1	NOUN
fis-5273	386	16	/imagememory	/imagememory	NUM
fis-5273	386	17	1048576	1048576	NUM
fis-5273	386	18	/lockdistillerparams	/lockdistillerparams	NOUN
fis-5273	386	19	false	false	ADJ
fis-5273	386	20	/maxsubsetpct	/maxsubsetpct	ADJ
fis-5273	386	21	100	100	NUM
fis-5273	386	22	/optimize	/optimize	NOUN
fis-5273	386	23	true	true	ADJ
fis-5273	386	24	/opm	/opm	NOUN
fis-5273	386	25	1	1	NUM
fis-5273	386	26	/parsedsccomments	/parsedsccomment	NOUN
fis-5273	386	27	true	true	ADJ
fis-5273	386	28	/parsedsccommentsfordocinfo	/parsedsccommentsfordocinfo	VERB
fis-5273	386	29	true	true	ADJ
fis-5273	386	30	/preservecopypage	/preservecopypage	NOUN
fis-5273	386	31	true	true	ADJ
fis-5273	386	32	/preservedicmykvalues	/preservedicmykvalue	NOUN
fis-5273	386	33	true	true	ADJ
fis-5273	386	34	/preserveepsinfo	/preserveepsinfo	NOUN
fis-5273	386	35	true	true	ADJ
fis-5273	386	36	/preserveflatness	/preserveflatness	NOUN
fis-5273	386	37	true	true	ADJ
fis-5273	386	38	/preservehalftoneinfo	/preservehalftoneinfo	PUNCT
fis-5273	386	39	false	false	ADJ
fis-5273	386	40	/preserveopicomments	/preserveopicomment	NOUN
fis-5273	386	41	true	true	ADJ
fis-5273	386	42	/preserveoverprintsettings	/preserveoverprintsetting	NOUN
fis-5273	386	43	true	true	ADJ
fis-5273	386	44	/startpage	/startpage	NOUN
fis-5273	386	45	1	1	NUM
fis-5273	386	46	/subsetfonts	/subsetfont	NOUN
fis-5273	386	47	true	true	ADJ
fis-5273	386	48	/transferfunctioninfo	/transferfunctioninfo	PUNCT
fis-5273	386	49	/apply	/apply	PUNCT
fis-5273	386	50	/ucrandbginfo	/ucrandbginfo	PUNCT
fis-5273	387	1	/preserve	/preserve	NOUN
fis-5273	387	2	/useprologue	/useprologue	NOUN
fis-5273	387	3	false	false	ADJ
fis-5273	387	4	/colorsettingsfile	/colorsettingsfile	NOUN
fis-5273	387	5	(	(	PUNCT
fis-5273	387	6	)	)	PUNCT
fis-5273	387	7	/alwaysembed	/alwaysembe	VERB
fis-5273	387	8	[	[	PUNCT
fis-5273	387	9	true	true	ADJ
fis-5273	387	10	]	]	PUNCT
fis-5273	387	11	/neverembed	/neverembed	PUNCT
fis-5273	388	1	[	[	PUNCT
fis-5273	388	2	true	true	ADJ
fis-5273	388	3	]	]	PUNCT
fis-5273	388	4	/antialiascolorimages	/antialiascolorimages	X
fis-5273	388	5	false	false	ADJ
fis-5273	388	6	/cropcolorimages	/cropcolorimages	PUNCT
fis-5273	388	7	true	true	ADJ
fis-5273	388	8	/colorimageminresolution	/colorimageminresolution	PUNCT
fis-5273	388	9	300	300	NUM
fis-5273	388	10	/colorimageminresolutionpolicy	/colorimageminresolutionpolicy	NOUN
fis-5273	388	11	/ok	/ok	ADJ
fis-5273	389	1	/downsamplecolorimages	/downsamplecolorimage	VERB
fis-5273	390	1	true	true	ADJ
fis-5273	390	2	/colorimagedownsampletype	/colorimagedownsampletype	PUNCT
fis-5273	390	3	/bicubic	/bicubic	NOUN
fis-5273	390	4	/colorimageresolution	/colorimageresolution	NOUN
fis-5273	391	1	300	300	NUM
fis-5273	391	2	/colorimagedepth	/colorimagedepth	PRON
fis-5273	391	3	-1	-1	INTJ
fis-5273	391	4	/colorimagemindownsampledepth	/colorimagemindownsampledepth	SYM
fis-5273	391	5	1	1	NUM
fis-5273	391	6	/colorimagedownsamplethreshold	/colorimagedownsamplethreshold	SYM
fis-5273	391	7	1.50000	1.50000	NUM
fis-5273	391	8	/encodecolorimages	/encodecolorimage	NOUN
fis-5273	391	9	true	true	ADJ
fis-5273	391	10	/colorimagefilter	/colorimagefilter	PUNCT
fis-5273	391	11	/dctencode	/dctencode	PUNCT
fis-5273	392	1	/autofiltercolorimages	/autofiltercolorimage	NOUN
fis-5273	392	2	true	true	ADJ
fis-5273	392	3	/colorimageautofilterstrategy	/colorimageautofilterstrategy	PUNCT
fis-5273	392	4	/jpeg	/jpeg	PUNCT
fis-5273	392	5	/coloracsimagedict	/coloracsimagedict	PUNCT
fis-5273	393	1	<	<	X
fis-5273	393	2	<	<	X
fis-5273	393	3	/qfactor	/qfactor	NOUN
fis-5273	393	4	0.15	0.15	NUM
fis-5273	393	5	/hsamples	/hsample	NOUN
fis-5273	394	1	[	[	X
fis-5273	394	2	1	1	NUM
fis-5273	394	3	1	1	NUM
fis-5273	394	4	1	1	NUM
fis-5273	394	5	1	1	NUM
fis-5273	394	6	]	]	PUNCT
fis-5273	394	7	/vsamples	/vsample	NOUN
fis-5273	395	1	[	[	X
fis-5273	395	2	1	1	NUM
fis-5273	395	3	1	1	NUM
fis-5273	395	4	1	1	NUM
fis-5273	395	5	1	1	NUM
fis-5273	395	6	]	]	PUNCT
fis-5273	395	7	>	>	PUNCT
fis-5273	395	8	>	>	X
fis-5273	395	9	/colorimagedict	/colorimagedict	PUNCT
fis-5273	396	1	<	<	X
fis-5273	396	2	<	<	X
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fis-5273	396	4	0.15	0.15	NUM
fis-5273	396	5	/hsamples	/hsample	NOUN
fis-5273	397	1	[	[	X
fis-5273	397	2	1	1	NUM
fis-5273	397	3	1	1	NUM
fis-5273	397	4	1	1	NUM
fis-5273	397	5	1	1	NUM
fis-5273	397	6	]	]	PUNCT
fis-5273	397	7	/vsamples	/vsample	NOUN
fis-5273	398	1	[	[	X
fis-5273	398	2	1	1	NUM
fis-5273	398	3	1	1	NUM
fis-5273	398	4	1	1	NUM
fis-5273	398	5	1	1	NUM
fis-5273	398	6	]	]	PUNCT
fis-5273	398	7	>	>	PUNCT
fis-5273	398	8	>	>	X
fis-5273	398	9	/jpeg2000coloracsimagedict	/jpeg2000coloracsimagedict	PUNCT
fis-5273	399	1	<	<	X
fis-5273	399	2	<	<	X
fis-5273	399	3	/tilewidth	/tilewidth	PUNCT
fis-5273	399	4	256	256	NUM
fis-5273	399	5	/tileheight	/tileheight	NUM
fis-5273	399	6	256	256	NUM
fis-5273	399	7	/quality	/quality	NOUN
fis-5273	399	8	30	30	NUM
fis-5273	399	9	>	>	PUNCT
fis-5273	399	10	>	>	X
fis-5273	399	11	/jpeg2000colorimagedict	/jpeg2000colorimagedict	PUNCT
fis-5273	399	12	<	<	X
fis-5273	399	13	<	<	X
fis-5273	399	14	/tilewidth	/tilewidth	PUNCT
fis-5273	399	15	256	256	NUM
fis-5273	399	16	/tileheight	/tileheight	NUM
fis-5273	399	17	256	256	NUM
fis-5273	399	18	/quality	/quality	NOUN
fis-5273	399	19	30	30	NUM
fis-5273	399	20	>	>	PUNCT
fis-5273	399	21	>	>	X
fis-5273	399	22	/antialiasgrayimages	/antialiasgrayimages	X
fis-5273	399	23	false	false	ADJ
fis-5273	399	24	/cropgrayimages	/cropgrayimage	NOUN
fis-5273	399	25	true	true	ADJ
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fis-5273	399	27	300	300	NUM
fis-5273	399	28	/grayimageminresolutionpolicy	/grayimageminresolutionpolicy	NOUN
fis-5273	399	29	/ok	/ok	ADJ
fis-5273	399	30	/downsamplegrayimages	/downsamplegrayimages	PUNCT
fis-5273	400	1	true	true	ADJ
fis-5273	400	2	/grayimagedownsampletype	/grayimagedownsampletype	INTJ
fis-5273	400	3	/bicubic	/bicubic	NOUN
fis-5273	400	4	/grayimageresolution	/grayimageresolution	NOUN
fis-5273	400	5	300	300	NUM
fis-5273	400	6	/grayimagedepth	/grayimagedepth	PUNCT
fis-5273	400	7	-1	-1	PUNCT
fis-5273	400	8	/grayimagemindownsampledepth	/grayimagemindownsampledepth	PUNCT
fis-5273	401	1	2	2	NUM
fis-5273	401	2	/grayimagedownsamplethreshold	/grayimagedownsamplethreshold	NUM
fis-5273	401	3	1.50000	1.50000	NUM
fis-5273	401	4	/encodegrayimages	/encodegrayimage	NOUN
fis-5273	401	5	true	true	ADJ
fis-5273	401	6	/grayimagefilter	/grayimagefilter	NOUN
fis-5273	401	7	/dctencode	/dctencode	PUNCT
fis-5273	402	1	/autofiltergrayimages	/autofiltergrayimages	VERB
fis-5273	402	2	true	true	ADJ
fis-5273	402	3	/grayimageautofilterstrategy	/grayimageautofilterstrategy	INTJ
fis-5273	402	4	/jpeg	/jpeg	PUNCT
fis-5273	402	5	/grayacsimagedict	/grayacsimagedict	PUNCT
fis-5273	403	1	<	<	X
fis-5273	403	2	<	<	X
fis-5273	403	3	/qfactor	/qfactor	NOUN
fis-5273	403	4	0.15	0.15	NUM
fis-5273	403	5	/hsamples	/hsample	NOUN
fis-5273	404	1	[	[	X
fis-5273	404	2	1	1	NUM
fis-5273	404	3	1	1	NUM
fis-5273	404	4	1	1	NUM
fis-5273	404	5	1	1	NUM
fis-5273	404	6	]	]	PUNCT
fis-5273	404	7	/vsamples	/vsample	NOUN
fis-5273	405	1	[	[	X
fis-5273	405	2	1	1	NUM
fis-5273	405	3	1	1	NUM
fis-5273	405	4	1	1	NUM
fis-5273	405	5	1	1	NUM
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fis-5273	424	3	>	>	X
fis-5273	424	4	/fra	/fra	PUNCT
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fis-5273	425	3	>	>	X
fis-5273	425	4	/gre	/gre	PUNCT
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fis-5273	425	7	>	>	X
fis-5273	425	8	/heb	/heb	X
fis-5273	425	9	<	<	X
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fis-5273	425	11	>	>	X
fis-5273	425	12	/hrv	/hrv	PROPN
fis-5273	426	1	(	(	PUNCT
fis-5273	426	2	za	za	PROPN
fis-5273	426	3	stvaranje	stvaranje	PROPN
fis-5273	426	4	adobe	adobe	PROPN
fis-5273	426	5	pdf	pdf	PROPN
fis-5273	426	6	dokumenata	dokumenata	PROPN
fis-5273	426	7	najpogodnijih	najpogodnijih	PROPN
fis-5273	426	8	za	za	PROPN
fis-5273	426	9	visokokvalitetni	visokokvalitetni	VERB
fis-5273	426	10	ispis	ispis	ADJ
fis-5273	426	11	prije	prije	NOUN
fis-5273	426	12	tiskanja	tiskanja	PROPN
fis-5273	426	13	koristite	koristite	PROPN
fis-5273	426	14	ove	ove	NOUN
fis-5273	426	15	postavke	postavke	NOUN
fis-5273	426	16	.	.	PUNCT
fis-5273	427	1	stvoreni	stvoreni	ADJ
fis-5273	427	2	pdf	pdf	NOUN
fis-5273	427	3	dokumenti	dokumenti	PROPN
fis-5273	427	4	mogu	mogu	PROPN
fis-5273	427	5	se	se	X
fis-5273	427	6	otvoriti	otvoriti	PROPN
fis-5273	427	7	acrobat	acrobat	PROPN
fis-5273	428	1	i	i	PRON
fis-5273	428	2	adobe	adobe	PROPN
fis-5273	428	3	reader	reader	PROPN
fis-5273	428	4	5.0	5.0	NUM
fis-5273	428	5	i	i	PRON
fis-5273	428	6	kasnijim	kasnijim	VERB
fis-5273	428	7	verzijama	verzijama	NOUN
fis-5273	428	8	.	.	PUNCT
fis-5273	428	9	)	)	PUNCT
fis-5273	429	1	/hun	/hun	PUNCT
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fis-5273	430	3	>	>	X
fis-5273	430	4	/ita	/ita	PUNCT
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fis-5273	431	3	>	>	X
fis-5273	431	4	/jpn	/jpn	PROPN
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fis-5273	432	3	>	>	X
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fis-5273	433	3	>	>	X
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fis-5273	434	3	>	>	X
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fis-5273	442	4	/sve	/sve	PROPN
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fis-5273	442	7	>	>	X
fis-5273	442	8	/tur	/tur	X
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fis-5273	442	10	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	PROPN
fis-5273	442	11	>	>	X
fis-5273	442	12	/ukr	/ukr	X
fis-5273	442	13	<	<	X
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fis-5273	442	15	>	>	X
fis-5273	442	16	/enu	/enu	PUNCT
fis-5273	442	17	(	(	PUNCT
fis-5273	442	18	use	use	VERB
fis-5273	442	19	these	these	DET
fis-5273	442	20	settings	setting	NOUN
fis-5273	442	21	to	to	PART
fis-5273	442	22	create	create	VERB
fis-5273	442	23	adobe	adobe	PROPN
fis-5273	442	24	pdf	pdf	PROPN
fis-5273	442	25	documents	document	NOUN
fis-5273	442	26	best	well	ADV
fis-5273	442	27	suited	suit	VERB
fis-5273	442	28	for	for	ADP
fis-5273	442	29	high	high	ADJ
fis-5273	442	30	-	-	PUNCT
fis-5273	442	31	quality	quality	NOUN
fis-5273	442	32	prepress	prepress	NOUN
fis-5273	442	33	printing	printing	NOUN
fis-5273	442	34	.	.	PUNCT
fis-5273	443	1	created	create	VERB
fis-5273	443	2	pdf	pdf	NOUN
fis-5273	443	3	documents	document	NOUN
fis-5273	443	4	can	can	AUX
fis-5273	443	5	be	be	AUX
fis-5273	443	6	opened	open	VERB
fis-5273	443	7	with	with	ADP
fis-5273	443	8	acrobat	acrobat	PROPN
fis-5273	443	9	and	and	CCONJ
fis-5273	443	10	adobe	adobe	PROPN
fis-5273	443	11	reader	reader	PROPN
fis-5273	443	12	5.0	5.0	NUM
fis-5273	443	13	and	and	CCONJ
fis-5273	443	14	later	later	ADV
fis-5273	443	15	.	.	PUNCT
fis-5273	443	16	)	)	PUNCT
fis-5273	444	1	>	>	PUNCT
fis-5273	444	2	>	>	X
fis-5273	444	3	/namespace	/namespace	PUNCT
fis-5273	445	1	[	[	PUNCT
fis-5273	445	2	(	(	PUNCT
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fis-5273	445	4	)	)	PUNCT
fis-5273	445	5	(	(	PUNCT
fis-5273	445	6	common	common	ADJ
fis-5273	445	7	)	)	PUNCT
fis-5273	445	8	(	(	PUNCT
fis-5273	445	9	1.0	1.0	NUM
fis-5273	445	10	)	)	PUNCT
fis-5273	445	11	]	]	PUNCT
fis-5273	446	1	/othernamespaces	/othernamespace	VERB
fis-5273	446	2	[	[	PUNCT
fis-5273	446	3	<	<	X
fis-5273	446	4	<	<	X
fis-5273	446	5	/asreaderspreads	/asreaderspreads	X
fis-5273	446	6	false	false	ADJ
fis-5273	446	7	/cropimagestoframes	/cropimagestoframe	NOUN
fis-5273	446	8	true	true	ADJ
fis-5273	446	9	/errorcontrol	/errorcontrol	NOUN
fis-5273	447	1	/warnandcontinue	/warnandcontinue	PUNCT
fis-5273	447	2	/flattenerignorespreadoverrides	/flattenerignorespreadoverride	NOUN
fis-5273	447	3	false	false	ADJ
fis-5273	447	4	/includeguidesgrids	/includeguidesgrid	NOUN
fis-5273	447	5	false	false	ADJ
fis-5273	447	6	/includenonprinting	/includenonprinting	NOUN
fis-5273	447	7	false	false	ADJ
fis-5273	447	8	/includeslug	/includeslug	INTJ
fis-5273	447	9	false	false	ADJ
fis-5273	447	10	/namespace	/namespace	NOUN
fis-5273	448	1	[	[	PUNCT
fis-5273	448	2	(	(	PUNCT
fis-5273	448	3	adobe	adobe	PROPN
fis-5273	448	4	)	)	PUNCT
fis-5273	448	5	(	(	PUNCT
fis-5273	448	6	indesign	indesign	NOUN
fis-5273	448	7	)	)	PUNCT
fis-5273	448	8	(	(	PUNCT
fis-5273	448	9	4.0	4.0	NUM
fis-5273	448	10	)	)	PUNCT
fis-5273	448	11	]	]	PUNCT
fis-5273	448	12	/omitplacedbitmaps	/omitplacedbitmaps	PUNCT
fis-5273	449	1	false	false	ADJ
fis-5273	449	2	/omitplacedeps	/omitplacedeps	INTJ
fis-5273	449	3	false	false	ADJ
fis-5273	449	4	/omitplacedpdf	/omitplacedpdf	PUNCT
fis-5273	449	5	false	false	ADJ
fis-5273	449	6	/simulateoverprint	/simulateoverprint	NOUN
fis-5273	449	7	/legacy	/legacy	PUNCT
fis-5273	450	1	>	>	PUNCT
fis-5273	450	2	>	>	X
fis-5273	451	1	<	<	X
fis-5273	451	2	<	<	X
fis-5273	451	3	/addbleedmarks	/addbleedmarks	X
fis-5273	451	4	false	false	ADJ
fis-5273	451	5	/addcolorbars	/addcolorbars	INTJ
fis-5273	451	6	false	false	ADJ
fis-5273	451	7	/addcropmarks	/addcropmarks	PUNCT
fis-5273	451	8	false	false	ADJ
fis-5273	451	9	/addpageinfo	/addpageinfo	INTJ
fis-5273	451	10	false	false	ADJ
fis-5273	451	11	/addregmarks	/addregmark	NOUN
fis-5273	451	12	false	false	ADJ
fis-5273	451	13	/convertcolors	/convertcolor	NOUN
fis-5273	451	14	/converttocmyk	/converttocmyk	INTJ
fis-5273	451	15	/destinationprofilename	/destinationprofilename	PUNCT
fis-5273	451	16	(	(	PUNCT
fis-5273	451	17	)	)	PUNCT
fis-5273	451	18	/destinationprofileselector	/destinationprofileselector	NOUN
fis-5273	451	19	/documentcmyk	/documentcmyk	PUNCT
fis-5273	451	20	/downsample16bitimages	/downsample16bitimage	NOUN
fis-5273	451	21	true	true	ADJ
fis-5273	451	22	/flattenerpreset	/flattenerpreset	PUNCT
fis-5273	452	1	<	<	X
fis-5273	452	2	<	<	X
fis-5273	452	3	/presetselector	/presetselector	X
fis-5273	452	4	/mediumresolution	/mediumresolution	NOUN
fis-5273	452	5	>	>	PUNCT
fis-5273	452	6	>	>	X
fis-5273	452	7	/formelements	/formelement	NOUN
fis-5273	453	1	false	false	ADJ
fis-5273	453	2	/generatestructure	/generatestructure	PUNCT
fis-5273	453	3	false	false	ADJ
fis-5273	453	4	/includebookmarks	/includebookmark	NOUN
fis-5273	453	5	false	false	ADJ
fis-5273	453	6	/includehyperlinks	/includehyperlinks	INTJ
fis-5273	453	7	false	false	ADJ
fis-5273	453	8	/includeinteractive	/includeinteractive	ADJ
fis-5273	453	9	false	false	ADJ
fis-5273	453	10	/includelayers	/includelayer	NOUN
fis-5273	453	11	false	false	ADJ
fis-5273	453	12	/includeprofiles	/includeprofiles	INTJ
fis-5273	453	13	false	false	ADJ
fis-5273	453	14	/multimediahandling	/multimediahandling	NOUN
fis-5273	454	1	/useobjectsettings	/useobjectsettings	PRON
fis-5273	455	1	/namespace	/namespace	PUNCT
fis-5273	456	1	[	[	PUNCT
fis-5273	456	2	(	(	PUNCT
fis-5273	456	3	adobe	adobe	PROPN
fis-5273	456	4	)	)	PUNCT
fis-5273	456	5	(	(	PUNCT
fis-5273	456	6	creativesuite	creativesuite	NOUN
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fis-5273	456	8	(	(	PUNCT
fis-5273	456	9	2.0	2.0	NUM
fis-5273	456	10	)	)	PUNCT
fis-5273	456	11	]	]	PUNCT
fis-5273	457	1	/pdfxoutputintentprofileselector	/pdfxoutputintentprofileselector	INTJ
fis-5273	457	2	/documentcmyk	/documentcmyk	PUNCT
fis-5273	458	1	/preserveediting	/preserveedite	VERB
fis-5273	458	2	true	true	ADJ
fis-5273	458	3	/untaggedcmykhandling	/untaggedcmykhandling	NOUN
fis-5273	458	4	/leaveuntagged	/leaveuntagge	VERB
fis-5273	458	5	/untaggedrgbhandling	/untaggedrgbhandling	NOUN
fis-5273	458	6	/usedocumentprofile	/usedocumentprofile	INTJ
fis-5273	458	7	/usedocumentbleed	/usedocumentbleed	NOUN
fis-5273	459	1	false	false	ADJ
fis-5273	459	2	>	>	PUNCT
fis-5273	459	3	>	>	X
fis-5273	459	4	]	]	PUNCT
fis-5273	459	5	>	>	PUNCT
fis-5273	459	6	>	>	X
fis-5273	459	7	setdistillerparams	setdistillerparam	NOUN
fis-5273	460	1	<	<	X
fis-5273	460	2	<	<	X
fis-5273	460	3	/hwresolution	/hwresolution	NOUN
fis-5273	461	1	[	[	X
fis-5273	461	2	2400	2400	NUM
fis-5273	461	3	2400	2400	NUM
fis-5273	461	4	]	]	PUNCT
fis-5273	461	5	/pagesize	/pagesize	X
fis-5273	462	1	[	[	X
fis-5273	462	2	612.000	612.000	NUM
fis-5273	462	3	792.000	792.000	NUM
fis-5273	462	4	]	]	PUNCT
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fis-5273	462	6	>	>	X
fis-5273	462	7	setpagedevice	setpagedevice	PROPN