id	sid	tid	token	lemma	pos
fis-3240	1	1	microsoft	microsoft	PROPN
fis-3240	1	2	word	word	PROPN
fis-3240	1	3	numero_58_art_23_3240.docx	numero_58_art_23_3240.docx	VERB
fis-3240	1	4	t.-h	t.-h	NOUN
fis-3240	1	5	.	.	PUNCT
fis-3240	2	1	nguyen	nguyen	PROPN
fis-3240	2	2	et	et	PROPN
fis-3240	2	3	alii	alii	PROPN
fis-3240	2	4	,	,	PUNCT
fis-3240	2	5	frattura	frattura	PROPN
fis-3240	2	6	ed	ed	PROPN
fis-3240	2	7	integrità	integrità	PROPN
fis-3240	2	8	strutturale	strutturale	PROPN
fis-3240	2	9	,	,	PUNCT
fis-3240	2	10	58	58	NUM
fis-3240	2	11	(	(	PUNCT
fis-3240	2	12	2021	2021	NUM
fis-3240	2	13	)	)	PUNCT
fis-3240	2	14	308	308	NUM
fis-3240	2	15	-	-	SYM
fis-3240	2	16	318	318	NUM
fis-3240	2	17	;	;	PUNCT
fis-3240	2	18	doi	doi	NOUN
fis-3240	2	19	:	:	PUNCT
fis-3240	2	20	10.3221	10.3221	NUM
fis-3240	2	21	/	/	SYM
fis-3240	2	22	igf	igf	PROPN
fis-3240	2	23	-	-	PUNCT
fis-3240	2	24	esis.58.23	esis.58.23	PROPN
fis-3240	2	25	308	308	NUM
fis-3240	2	26	focussed	focusse	VERB
fis-3240	2	27	on	on	ADP
fis-3240	2	28	steels	steel	NOUN
fis-3240	2	29	and	and	CCONJ
fis-3240	2	30	composites	composite	NOUN
fis-3240	2	31	for	for	ADP
fis-3240	2	32	engineering	engineering	NOUN
fis-3240	2	33	structures	structure	NOUN
fis-3240	2	34	evaluating	evaluate	VERB
fis-3240	2	35	structural	structural	ADJ
fis-3240	2	36	safety	safety	NOUN
fis-3240	2	37	of	of	ADP
fis-3240	2	38	trusses	truss	NOUN
fis-3240	2	39	using	use	VERB
fis-3240	2	40	machine	machine	NOUN
fis-3240	2	41	learning	learn	VERB
fis-3240	2	42	tran	tran	PROPN
fis-3240	2	43	-	-	PUNCT
fis-3240	2	44	hieu	hieu	NOUN
fis-3240	2	45	nguyen	nguyen	NOUN
fis-3240	2	46	,	,	PUNCT
fis-3240	2	47	anh	anh	PROPN
fis-3240	2	48	-	-	PUNCT
fis-3240	2	49	tuan	tuan	PROPN
fis-3240	2	50	vu	vu	PROPN
fis-3240	2	51	hanoi	hanoi	PROPN
fis-3240	2	52	university	university	PROPN
fis-3240	2	53	of	of	ADP
fis-3240	2	54	civil	civil	ADJ
fis-3240	2	55	engineering	engineering	NOUN
fis-3240	2	56	,	,	PUNCT
fis-3240	2	57	vietnam	vietnam	PROPN
fis-3240	2	58	hieunt2@nuce.edu.vn	hieunt2@nuce.edu.vn	PROPN
fis-3240	2	59	,	,	PUNCT
fis-3240	2	60	https://orcid.org/0000-0002-1446-5859	https://orcid.org/0000-0002-1446-5859	VERB
fis-3240	2	61	tuanva@nuce.edu.vn	tuanva@nuce.edu.vn	VERB
fis-3240	2	62	abstract	abstract	NOUN
fis-3240	2	63	.	.	PUNCT
fis-3240	3	1	in	in	ADP
fis-3240	3	2	this	this	DET
fis-3240	3	3	paper	paper	NOUN
fis-3240	3	4	,	,	PUNCT
fis-3240	3	5	a	a	DET
fis-3240	3	6	machine	machine	NOUN
fis-3240	3	7	learning	learning	NOUN
fis-3240	3	8	-	-	PUNCT
fis-3240	3	9	based	base	VERB
fis-3240	3	10	framework	framework	NOUN
fis-3240	3	11	is	be	AUX
fis-3240	3	12	developed	develop	VERB
fis-3240	3	13	to	to	PART
fis-3240	3	14	quickly	quickly	ADV
fis-3240	3	15	evaluate	evaluate	VERB
fis-3240	3	16	the	the	DET
fis-3240	3	17	structural	structural	ADJ
fis-3240	3	18	safety	safety	NOUN
fis-3240	3	19	of	of	ADP
fis-3240	3	20	trusses	truss	NOUN
fis-3240	3	21	.	.	PUNCT
fis-3240	4	1	three	three	NUM
fis-3240	4	2	numerical	numerical	ADJ
fis-3240	4	3	examples	example	NOUN
fis-3240	4	4	of	of	ADP
fis-3240	4	5	a	a	DET
fis-3240	4	6	10	10	NUM
fis-3240	4	7	-	-	PUNCT
fis-3240	4	8	bar	bar	NOUN
fis-3240	4	9	truss	truss	NOUN
fis-3240	4	10	,	,	PUNCT
fis-3240	4	11	a	a	DET
fis-3240	4	12	25	25	NUM
fis-3240	4	13	-	-	PUNCT
fis-3240	4	14	bar	bar	NOUN
fis-3240	4	15	truss	truss	NOUN
fis-3240	4	16	,	,	PUNCT
fis-3240	4	17	and	and	CCONJ
fis-3240	4	18	a	a	DET
fis-3240	4	19	47	47	NUM
fis-3240	4	20	-	-	PUNCT
fis-3240	4	21	bar	bar	NOUN
fis-3240	4	22	truss	truss	NOUN
fis-3240	4	23	are	be	AUX
fis-3240	4	24	used	use	VERB
fis-3240	4	25	to	to	PART
fis-3240	4	26	illustrate	illustrate	VERB
fis-3240	4	27	the	the	DET
fis-3240	4	28	proposed	propose	VERB
fis-3240	4	29	framework	framework	NOUN
fis-3240	4	30	.	.	PUNCT
fis-3240	5	1	firstly	firstly	ADV
fis-3240	5	2	,	,	PUNCT
fis-3240	5	3	several	several	ADJ
fis-3240	5	4	truss	truss	ADJ
fis-3240	5	5	cases	case	NOUN
fis-3240	5	6	with	with	ADP
fis-3240	5	7	different	different	ADJ
fis-3240	5	8	cross	cross	ADJ
fis-3240	5	9	-	-	ADJ
fis-3240	5	10	sectional	sectional	ADJ
fis-3240	5	11	areas	area	NOUN
fis-3240	5	12	are	be	AUX
fis-3240	5	13	generated	generate	VERB
fis-3240	5	14	by	by	ADP
fis-3240	5	15	employing	employ	VERB
fis-3240	5	16	the	the	DET
fis-3240	5	17	latin	latin	ADJ
fis-3240	5	18	hypercube	hypercube	NOUN
fis-3240	5	19	sampling	sample	VERB
fis-3240	5	20	method	method	NOUN
fis-3240	5	21	.	.	PUNCT
fis-3240	6	1	stresses	stress	NOUN
fis-3240	6	2	inside	inside	ADP
fis-3240	6	3	truss	truss	NOUN
fis-3240	6	4	members	member	NOUN
fis-3240	6	5	as	as	ADV
fis-3240	6	6	well	well	ADV
fis-3240	6	7	as	as	ADP
fis-3240	6	8	displacements	displacement	NOUN
fis-3240	6	9	of	of	ADP
fis-3240	6	10	nodes	node	NOUN
fis-3240	6	11	are	be	AUX
fis-3240	6	12	determined	determine	VERB
fis-3240	6	13	through	through	ADP
fis-3240	6	14	finite	finite	ADJ
fis-3240	6	15	element	element	NOUN
fis-3240	6	16	analyses	analysis	NOUN
fis-3240	6	17	and	and	CCONJ
fis-3240	6	18	obtained	obtain	VERB
fis-3240	6	19	values	value	NOUN
fis-3240	6	20	are	be	AUX
fis-3240	6	21	compared	compare	VERB
fis-3240	6	22	with	with	ADP
fis-3240	6	23	design	design	NOUN
fis-3240	6	24	constraints	constraint	NOUN
fis-3240	6	25	.	.	PUNCT
fis-3240	7	1	according	accord	VERB
fis-3240	7	2	to	to	ADP
fis-3240	7	3	the	the	DET
fis-3240	7	4	constraint	constraint	NOUN
fis-3240	7	5	verification	verification	NOUN
fis-3240	7	6	,	,	PUNCT
fis-3240	7	7	the	the	DET
fis-3240	7	8	safety	safety	NOUN
fis-3240	7	9	state	state	NOUN
fis-3240	7	10	is	be	AUX
fis-3240	7	11	assigned	assign	VERB
fis-3240	7	12	as	as	ADP
fis-3240	7	13	safe	safe	ADJ
fis-3240	7	14	or	or	CCONJ
fis-3240	7	15	unsafe	unsafe	ADJ
fis-3240	7	16	.	.	PUNCT
fis-3240	8	1	members	member	NOUN
fis-3240	8	2	’	'	PUNCT
fis-3240	8	3	sectional	sectional	ADJ
fis-3240	8	4	areas	area	NOUN
fis-3240	8	5	and	and	CCONJ
fis-3240	8	6	the	the	DET
fis-3240	8	7	safety	safety	NOUN
fis-3240	8	8	state	state	NOUN
fis-3240	8	9	are	be	AUX
fis-3240	8	10	stored	store	VERB
fis-3240	8	11	as	as	ADP
fis-3240	8	12	the	the	DET
fis-3240	8	13	inputs	input	NOUN
fis-3240	8	14	and	and	CCONJ
fis-3240	8	15	outputs	output	NOUN
fis-3240	8	16	of	of	ADP
fis-3240	8	17	the	the	DET
fis-3240	8	18	training	training	NOUN
fis-3240	8	19	dataset	dataset	NOUN
fis-3240	8	20	,	,	PUNCT
fis-3240	8	21	respectively	respectively	ADV
fis-3240	8	22	.	.	PUNCT
fis-3240	9	1	three	three	NUM
fis-3240	9	2	popular	popular	ADJ
fis-3240	9	3	machine	machine	NOUN
fis-3240	9	4	learning	learn	VERB
fis-3240	9	5	classifiers	classifier	NOUN
fis-3240	9	6	including	include	VERB
fis-3240	9	7	support	support	NOUN
fis-3240	9	8	vector	vector	NOUN
fis-3240	9	9	machine	machine	NOUN
fis-3240	9	10	,	,	PUNCT
fis-3240	9	11	deep	deep	ADJ
fis-3240	9	12	neural	neural	ADJ
fis-3240	9	13	network	network	NOUN
fis-3240	9	14	,	,	PUNCT
fis-3240	9	15	and	and	CCONJ
fis-3240	9	16	adaptive	adaptive	ADJ
fis-3240	9	17	boosting	boosting	NOUN
fis-3240	9	18	are	be	AUX
fis-3240	9	19	used	use	VERB
fis-3240	9	20	for	for	ADP
fis-3240	9	21	evaluating	evaluate	VERB
fis-3240	9	22	the	the	DET
fis-3240	9	23	safety	safety	NOUN
fis-3240	9	24	of	of	ADP
fis-3240	9	25	structures	structure	NOUN
fis-3240	9	26	.	.	PUNCT
fis-3240	10	1	the	the	DET
fis-3240	10	2	comparison	comparison	NOUN
fis-3240	10	3	is	be	AUX
fis-3240	10	4	conducted	conduct	VERB
fis-3240	10	5	based	base	VERB
fis-3240	10	6	on	on	ADP
fis-3240	10	7	two	two	NUM
fis-3240	10	8	metrics	metric	NOUN
fis-3240	10	9	:	:	PUNCT
fis-3240	10	10	the	the	DET
fis-3240	10	11	accuracy	accuracy	NOUN
fis-3240	10	12	and	and	CCONJ
fis-3240	10	13	the	the	DET
fis-3240	10	14	area	area	NOUN
fis-3240	10	15	under	under	ADP
fis-3240	10	16	the	the	DET
fis-3240	10	17	roc	roc	PROPN
fis-3240	10	18	curve	curve	NOUN
fis-3240	10	19	.	.	PUNCT
fis-3240	11	1	for	for	ADP
fis-3240	11	2	the	the	DET
fis-3240	11	3	two	two	NUM
fis-3240	11	4	first	first	ADJ
fis-3240	11	5	examples	example	NOUN
fis-3240	11	6	,	,	PUNCT
fis-3240	11	7	three	three	NUM
fis-3240	11	8	classifiers	classifier	NOUN
fis-3240	11	9	get	get	VERB
fis-3240	11	10	more	more	ADJ
fis-3240	11	11	than	than	ADP
fis-3240	11	12	90	90	NUM
fis-3240	11	13	%	%	NOUN
fis-3240	11	14	of	of	ADP
fis-3240	11	15	accuracy	accuracy	NOUN
fis-3240	11	16	.	.	PUNCT
fis-3240	12	1	for	for	ADP
fis-3240	12	2	the	the	DET
fis-3240	12	3	47	47	NUM
fis-3240	12	4	-	-	PUNCT
fis-3240	12	5	bar	bar	NOUN
fis-3240	12	6	truss	truss	NOUN
fis-3240	12	7	,	,	PUNCT
fis-3240	12	8	the	the	DET
fis-3240	12	9	accuracies	accuracy	NOUN
fis-3240	12	10	of	of	ADP
fis-3240	12	11	the	the	DET
fis-3240	12	12	support	support	NOUN
fis-3240	12	13	vector	vector	NOUN
fis-3240	12	14	machine	machine	NOUN
fis-3240	12	15	model	model	NOUN
fis-3240	12	16	and	and	CCONJ
fis-3240	12	17	the	the	DET
fis-3240	12	18	deep	deep	ADJ
fis-3240	12	19	neural	neural	ADJ
fis-3240	12	20	network	network	NOUN
fis-3240	12	21	model	model	NOUN
fis-3240	12	22	are	be	AUX
fis-3240	12	23	lower	low	ADJ
fis-3240	12	24	than	than	ADP
fis-3240	12	25	70	70	NUM
fis-3240	12	26	%	%	NOUN
fis-3240	12	27	but	but	CCONJ
fis-3240	12	28	the	the	DET
fis-3240	12	29	adaptive	adaptive	ADJ
fis-3240	12	30	boosting	boost	VERB
fis-3240	12	31	model	model	NOUN
fis-3240	12	32	still	still	ADV
fis-3240	12	33	retains	retain	VERB
fis-3240	12	34	the	the	DET
fis-3240	12	35	high	high	ADJ
fis-3240	12	36	accuracy	accuracy	NOUN
fis-3240	12	37	of	of	ADP
fis-3240	12	38	approximately	approximately	ADV
fis-3240	12	39	98	98	NUM
fis-3240	12	40	%	%	NOUN
fis-3240	12	41	.	.	PUNCT
fis-3240	13	1	in	in	ADP
fis-3240	13	2	terms	term	NOUN
fis-3240	13	3	of	of	ADP
fis-3240	13	4	the	the	DET
fis-3240	13	5	area	area	NOUN
fis-3240	13	6	under	under	ADP
fis-3240	13	7	the	the	DET
fis-3240	13	8	roc	roc	PROPN
fis-3240	13	9	curve	curve	NOUN
fis-3240	13	10	,	,	PUNCT
fis-3240	13	11	the	the	DET
fis-3240	13	12	comparative	comparative	ADJ
fis-3240	13	13	results	result	NOUN
fis-3240	13	14	are	be	AUX
fis-3240	13	15	similar	similar	ADJ
fis-3240	13	16	.	.	PUNCT
fis-3240	14	1	overall	overall	ADV
fis-3240	14	2	,	,	PUNCT
fis-3240	14	3	the	the	DET
fis-3240	14	4	adaptive	adaptive	ADJ
fis-3240	14	5	boosting	boost	VERB
fis-3240	14	6	model	model	NOUN
fis-3240	14	7	outperforms	outperform	NOUN
fis-3240	14	8	the	the	DET
fis-3240	14	9	remaining	remain	VERB
fis-3240	14	10	models	model	NOUN
fis-3240	14	11	.	.	PUNCT
fis-3240	15	1	in	in	ADP
fis-3240	15	2	addition	addition	NOUN
fis-3240	15	3	,	,	PUNCT
fis-3240	15	4	an	an	DET
fis-3240	15	5	investigation	investigation	NOUN
fis-3240	15	6	is	be	AUX
fis-3240	15	7	carried	carry	VERB
fis-3240	15	8	out	out	ADP
fis-3240	15	9	to	to	PART
fis-3240	15	10	show	show	VERB
fis-3240	15	11	the	the	DET
fis-3240	15	12	influence	influence	NOUN
fis-3240	15	13	of	of	ADP
fis-3240	15	14	the	the	DET
fis-3240	15	15	parameters	parameter	NOUN
fis-3240	15	16	on	on	ADP
fis-3240	15	17	the	the	DET
fis-3240	15	18	performance	performance	NOUN
fis-3240	15	19	of	of	ADP
fis-3240	15	20	the	the	DET
fis-3240	15	21	adaptive	adaptive	ADJ
fis-3240	15	22	boosting	boost	VERB
fis-3240	15	23	model	model	NOUN
fis-3240	15	24	.	.	PUNCT
fis-3240	16	1	keywords	keyword	NOUN
fis-3240	16	2	.	.	PUNCT
fis-3240	17	1	machine	machine	NOUN
fis-3240	17	2	learning	learning	NOUN
fis-3240	17	3	;	;	PUNCT
fis-3240	17	4	classification	classification	NOUN
fis-3240	17	5	;	;	PUNCT
fis-3240	17	6	adaptive	adaptive	ADJ
fis-3240	17	7	boosting	boosting	NOUN
fis-3240	17	8	;	;	PUNCT
fis-3240	17	9	structural	structural	ADJ
fis-3240	17	10	safety	safety	NOUN
fis-3240	17	11	;	;	PUNCT
fis-3240	17	12	truss	truss	ADJ
fis-3240	17	13	structure	structure	NOUN
fis-3240	17	14	.	.	PUNCT
fis-3240	18	1	citation	citation	NOUN
fis-3240	18	2	:	:	PUNCT
fis-3240	19	1	nguyen	nguyen	NOUN
fis-3240	19	2	,	,	PUNCT
fis-3240	19	3	t.-h	t.-h	PROPN
fis-3240	19	4	.	.	PUNCT
fis-3240	19	5	,	,	PUNCT
fis-3240	19	6	vu	vu	X
fis-3240	19	7	,	,	PUNCT
fis-3240	19	8	a.-t	a.-t	NOUN
fis-3240	19	9	.	.	PUNCT
fis-3240	19	10	,	,	PUNCT
fis-3240	19	11	evaluating	evaluate	VERB
fis-3240	19	12	structural	structural	ADJ
fis-3240	19	13	safety	safety	NOUN
fis-3240	19	14	of	of	ADP
fis-3240	19	15	trusses	truss	NOUN
fis-3240	19	16	using	use	VERB
fis-3240	19	17	machine	machine	NOUN
fis-3240	19	18	learning	learning	NOUN
fis-3240	19	19	,	,	PUNCT
fis-3240	19	20	frattura	frattura	PROPN
fis-3240	19	21	ed	ed	PROPN
fis-3240	19	22	integrità	integrità	PROPN
fis-3240	19	23	strutturale	strutturale	PROPN
fis-3240	19	24	,	,	PUNCT
fis-3240	19	25	58	58	NUM
fis-3240	19	26	(	(	PUNCT
fis-3240	19	27	2021	2021	NUM
fis-3240	19	28	)	)	PUNCT
fis-3240	19	29	308	308	NUM
fis-3240	19	30	-	-	SYM
fis-3240	19	31	318	318	NUM
fis-3240	19	32	.	.	PUNCT
fis-3240	20	1	received	receive	VERB
fis-3240	20	2	:	:	PUNCT
fis-3240	20	3	19.08.2021	19.08.2021	NUM
fis-3240	20	4	accepted	accept	VERB
fis-3240	20	5	:	:	PUNCT
fis-3240	20	6	29.08.2021	29.08.2021	NUM
fis-3240	20	7	published	publish	VERB
fis-3240	20	8	:	:	PUNCT
fis-3240	20	9	01.10.2021	01.10.2021	NUM
fis-3240	21	1	copyright	copyright	NOUN
fis-3240	21	2	:	:	PUNCT
fis-3240	21	3	©	©	PROPN
fis-3240	21	4	2021	2021	NUM
fis-3240	21	5	this	this	PRON
fis-3240	21	6	is	be	AUX
fis-3240	21	7	an	an	DET
fis-3240	21	8	open	open	ADJ
fis-3240	21	9	access	access	NOUN
fis-3240	21	10	article	article	NOUN
fis-3240	21	11	under	under	ADP
fis-3240	21	12	the	the	DET
fis-3240	21	13	terms	term	NOUN
fis-3240	21	14	of	of	ADP
fis-3240	21	15	the	the	DET
fis-3240	21	16	cc	cc	NOUN
fis-3240	21	17	-	-	PUNCT
fis-3240	21	18	by	by	ADP
fis-3240	21	19	4.0	4.0	NUM
fis-3240	21	20	,	,	PUNCT
fis-3240	21	21	which	which	PRON
fis-3240	21	22	permits	permit	VERB
fis-3240	21	23	unrestricted	unrestricted	ADJ
fis-3240	21	24	use	use	NOUN
fis-3240	21	25	,	,	PUNCT
fis-3240	21	26	distribution	distribution	NOUN
fis-3240	21	27	,	,	PUNCT
fis-3240	21	28	and	and	CCONJ
fis-3240	21	29	reproduction	reproduction	NOUN
fis-3240	21	30	in	in	ADP
fis-3240	21	31	any	any	DET
fis-3240	21	32	medium	medium	NOUN
fis-3240	21	33	,	,	PUNCT
fis-3240	21	34	provided	provide	VERB
fis-3240	21	35	the	the	DET
fis-3240	21	36	original	original	ADJ
fis-3240	21	37	author	author	NOUN
fis-3240	21	38	and	and	CCONJ
fis-3240	21	39	source	source	NOUN
fis-3240	21	40	are	be	AUX
fis-3240	21	41	credited	credit	VERB
fis-3240	21	42	.	.	PUNCT
fis-3240	22	1	introduction	introduction	NOUN
fis-3240	22	2	ssessing	ssesse	VERB
fis-3240	22	3	the	the	DET
fis-3240	22	4	safety	safety	NOUN
fis-3240	22	5	of	of	ADP
fis-3240	22	6	an	an	DET
fis-3240	22	7	existing	exist	VERB
fis-3240	22	8	structure	structure	NOUN
fis-3240	22	9	is	be	AUX
fis-3240	22	10	a	a	DET
fis-3240	22	11	common	common	ADJ
fis-3240	22	12	problem	problem	NOUN
fis-3240	22	13	in	in	ADP
fis-3240	22	14	practice	practice	NOUN
fis-3240	22	15	.	.	PUNCT
fis-3240	23	1	for	for	ADP
fis-3240	23	2	example	example	NOUN
fis-3240	23	3	,	,	PUNCT
fis-3240	23	4	many	many	ADJ
fis-3240	23	5	constructions	construction	NOUN
fis-3240	23	6	after	after	ADP
fis-3240	23	7	a	a	DET
fis-3240	23	8	long	long	ADJ
fis-3240	23	9	period	period	NOUN
fis-3240	23	10	of	of	ADP
fis-3240	23	11	use	use	NOUN
fis-3240	23	12	have	have	AUX
fis-3240	23	13	been	be	AUX
fis-3240	23	14	seriously	seriously	ADV
fis-3240	23	15	degraded	degrade	VERB
fis-3240	23	16	.	.	PUNCT
fis-3240	24	1	safety	safety	NOUN
fis-3240	24	2	assessment	assessment	NOUN
fis-3240	24	3	is	be	AUX
fis-3240	24	4	a	a	DET
fis-3240	24	5	key	key	ADJ
fis-3240	24	6	factor	factor	NOUN
fis-3240	24	7	in	in	ADP
fis-3240	24	8	deciding	decide	VERB
fis-3240	24	9	whether	whether	SCONJ
fis-3240	24	10	to	to	PART
fis-3240	24	11	rehabilitate	rehabilitate	VERB
fis-3240	24	12	or	or	CCONJ
fis-3240	24	13	demolish	demolish	VERB
fis-3240	24	14	these	these	DET
fis-3240	24	15	constructions	construction	NOUN
fis-3240	24	16	.	.	PUNCT
fis-3240	25	1	a	a	DET
fis-3240	25	2	second	second	ADJ
fis-3240	25	3	example	example	NOUN
fis-3240	25	4	might	might	AUX
fis-3240	25	5	be	be	AUX
fis-3240	25	6	:	:	PUNCT
fis-3240	25	7	a	a	DET
fis-3240	25	8	steel	steel	NOUN
fis-3240	25	9	structure	structure	NOUN
fis-3240	25	10	exposed	expose	VERB
fis-3240	25	11	to	to	ADP
fis-3240	25	12	a	a	DET
fis-3240	25	13	corrosive	corrosive	ADJ
fis-3240	25	14	environment	environment	NOUN
fis-3240	25	15	needs	need	VERB
fis-3240	25	16	to	to	PART
fis-3240	25	17	be	be	AUX
fis-3240	25	18	regularly	regularly	ADV
fis-3240	25	19	checked	check	VERB
fis-3240	25	20	the	the	DET
fis-3240	25	21	structural	structural	ADJ
fis-3240	25	22	safety	safety	NOUN
fis-3240	25	23	due	due	ADP
fis-3240	25	24	to	to	ADP
fis-3240	25	25	the	the	DET
fis-3240	25	26	development	development	NOUN
fis-3240	25	27	of	of	ADP
fis-3240	25	28	rust	rust	NOUN
fis-3240	25	29	.	.	PUNCT
fis-3240	26	1	for	for	ADP
fis-3240	26	2	one	one	NUM
fis-3240	26	3	more	more	ADJ
fis-3240	26	4	example	example	NOUN
fis-3240	26	5	,	,	PUNCT
fis-3240	26	6	a	a	DET
fis-3240	26	7	structure	structure	NOUN
fis-3240	26	8	subjected	subject	VERB
fis-3240	26	9	to	to	ADP
fis-3240	26	10	an	an	DET
fis-3240	26	11	extreme	extreme	ADJ
fis-3240	26	12	impact	impact	NOUN
fis-3240	26	13	,	,	PUNCT
fis-3240	26	14	such	such	ADJ
fis-3240	26	15	as	as	ADP
fis-3240	26	16	seismic	seismic	ADJ
fis-3240	26	17	loads	load	NOUN
fis-3240	26	18	,	,	PUNCT
fis-3240	26	19	fire	fire	NOUN
fis-3240	26	20	loads	load	NOUN
fis-3240	26	21	,	,	PUNCT
fis-3240	26	22	or	or	CCONJ
fis-3240	26	23	blast	blast	NOUN
fis-3240	26	24	loads	load	NOUN
fis-3240	26	25	should	should	AUX
fis-3240	26	26	be	be	AUX
fis-3240	26	27	evaluated	evaluate	VERB
fis-3240	26	28	the	the	DET
fis-3240	26	29	safety	safety	NOUN
fis-3240	26	30	state	state	NOUN
fis-3240	26	31	before	before	ADP
fis-3240	26	32	continuing	continue	VERB
fis-3240	26	33	use	use	NOUN
fis-3240	26	34	.	.	PUNCT
fis-3240	27	1	a	a	DET
fis-3240	27	2	https://youtu.be/z8jbaxobosa	https://youtu.be/z8jbaxobosa	PROPN
fis-3240	27	3	t.-h	t.-h	NOUN
fis-3240	27	4	.	.	PUNCT
fis-3240	28	1	nguyen	nguyen	PROPN
fis-3240	28	2	et	et	PROPN
fis-3240	28	3	alii	alii	PROPN
fis-3240	28	4	,	,	PUNCT
fis-3240	28	5	frattura	frattura	PROPN
fis-3240	28	6	ed	ed	PROPN
fis-3240	28	7	integrità	integrità	PROPN
fis-3240	28	8	strutturale	strutturale	PROPN
fis-3240	28	9	,	,	PUNCT
fis-3240	28	10	58	58	NUM
fis-3240	28	11	(	(	PUNCT
fis-3240	28	12	2021	2021	NUM
fis-3240	28	13	)	)	PUNCT
fis-3240	28	14	308	308	NUM
fis-3240	28	15	-	-	SYM
fis-3240	28	16	318	318	NUM
fis-3240	28	17	;	;	PUNCT
fis-3240	28	18	doi	doi	NOUN
fis-3240	28	19	:	:	PUNCT
fis-3240	28	20	10.3221	10.3221	NUM
fis-3240	28	21	/	/	SYM
fis-3240	28	22	igf	igf	PROPN
fis-3240	28	23	-	-	PUNCT
fis-3240	28	24	esis.58.23	esis.58.23	PROPN
fis-3240	28	25	309	309	NUM
fis-3240	28	26	the	the	DET
fis-3240	28	27	traditional	traditional	ADJ
fis-3240	28	28	safety	safety	NOUN
fis-3240	28	29	assessment	assessment	NOUN
fis-3240	28	30	of	of	ADP
fis-3240	28	31	structural	structural	ADJ
fis-3240	28	32	elements	element	NOUN
fis-3240	28	33	is	be	AUX
fis-3240	28	34	often	often	ADV
fis-3240	28	35	investigated	investigate	VERB
fis-3240	28	36	based	base	VERB
fis-3240	28	37	on	on	ADP
fis-3240	28	38	experimental	experimental	ADJ
fis-3240	28	39	tests	test	NOUN
fis-3240	28	40	and	and	CCONJ
fis-3240	28	41	numerical	numerical	ADJ
fis-3240	28	42	simulations	simulation	NOUN
fis-3240	28	43	.	.	PUNCT
fis-3240	29	1	for	for	ADP
fis-3240	29	2	instance	instance	NOUN
fis-3240	29	3	,	,	PUNCT
fis-3240	29	4	the	the	DET
fis-3240	29	5	research	research	NOUN
fis-3240	29	6	work	work	NOUN
fis-3240	29	7	conducted	conduct	VERB
fis-3240	29	8	by	by	ADP
fis-3240	29	9	capuzucca	capuzucca	NOUN
fis-3240	29	10	and	and	CCONJ
fis-3240	29	11	bonci	bonci	X
fis-3240	30	1	[	[	X
fis-3240	30	2	1	1	NUM
fis-3240	30	3	]	]	PUNCT
fis-3240	30	4	indicated	indicate	VERB
fis-3240	30	5	that	that	SCONJ
fis-3240	30	6	the	the	DET
fis-3240	30	7	state	state	NOUN
fis-3240	30	8	of	of	ADP
fis-3240	30	9	damage	damage	NOUN
fis-3240	30	10	of	of	ADP
fis-3240	30	11	carbon	carbon	NOUN
fis-3240	30	12	fiber	fiber	NOUN
fis-3240	30	13	reinforced	reinforce	VERB
fis-3240	30	14	polymer	polymer	NOUN
fis-3240	30	15	(	(	PUNCT
fis-3240	30	16	cfrp	cfrp	NOUN
fis-3240	30	17	)	)	PUNCT
fis-3240	30	18	laminate	laminate	NOUN
fis-3240	30	19	elements	element	NOUN
fis-3240	30	20	can	can	AUX
fis-3240	30	21	be	be	AUX
fis-3240	30	22	evaluated	evaluate	VERB
fis-3240	30	23	by	by	ADP
fis-3240	30	24	measuring	measure	VERB
fis-3240	30	25	the	the	DET
fis-3240	30	26	reduction	reduction	NOUN
fis-3240	30	27	of	of	ADP
fis-3240	30	28	vibration	vibration	NOUN
fis-3240	30	29	frequencies	frequency	NOUN
fis-3240	30	30	.	.	PUNCT
fis-3240	31	1	subsequently	subsequently	ADV
fis-3240	31	2	,	,	PUNCT
fis-3240	31	3	a	a	DET
fis-3240	31	4	hybrid	hybrid	ADJ
fis-3240	31	5	approach	approach	NOUN
fis-3240	31	6	that	that	PRON
fis-3240	31	7	combines	combine	VERB
fis-3240	31	8	the	the	DET
fis-3240	31	9	proper	proper	ADJ
fis-3240	31	10	orthogonal	orthogonal	ADJ
fis-3240	31	11	decomposition	decomposition	NOUN
fis-3240	31	12	with	with	ADP
fis-3240	31	13	radial	radial	ADJ
fis-3240	31	14	basis	basis	NOUN
fis-3240	31	15	function	function	NOUN
fis-3240	31	16	(	(	PUNCT
fis-3240	31	17	pod	pod	NOUN
fis-3240	31	18	-	-	PUNCT
fis-3240	31	19	rbf	rbf	PROPN
fis-3240	31	20	)	)	PUNCT
fis-3240	31	21	and	and	CCONJ
fis-3240	31	22	the	the	DET
fis-3240	31	23	cuckoo	cuckoo	NOUN
fis-3240	31	24	search	search	NOUN
fis-3240	31	25	optimization	optimization	NOUN
fis-3240	31	26	algorithm	algorithm	NOUN
fis-3240	31	27	to	to	PART
fis-3240	31	28	determine	determine	VERB
fis-3240	31	29	the	the	DET
fis-3240	31	30	position	position	NOUN
fis-3240	31	31	and	and	CCONJ
fis-3240	31	32	dimensions	dimension	NOUN
fis-3240	31	33	of	of	ADP
fis-3240	31	34	notches	notch	NOUN
fis-3240	31	35	in	in	ADP
fis-3240	31	36	cfrp	cfrp	NOUN
fis-3240	31	37	beams	beam	NOUN
fis-3240	31	38	was	be	AUX
fis-3240	31	39	proposed	propose	VERB
fis-3240	31	40	in	in	ADP
fis-3240	31	41	ref	ref	NOUN
fis-3240	31	42	.	.	PUNCT
fis-3240	32	1	[	[	X
fis-3240	32	2	2	2	NUM
fis-3240	32	3	]	]	PUNCT
fis-3240	32	4	.	.	PUNCT
fis-3240	33	1	the	the	DET
fis-3240	33	2	proposed	propose	VERB
fis-3240	33	3	approach	approach	NOUN
fis-3240	33	4	was	be	AUX
fis-3240	33	5	validated	validate	VERB
fis-3240	33	6	with	with	ADP
fis-3240	33	7	experimental	experimental	ADJ
fis-3240	33	8	results	result	NOUN
fis-3240	33	9	in	in	ADP
fis-3240	33	10	ref	ref	NOUN
fis-3240	33	11	.	.	PUNCT
fis-3240	34	1	[	[	X
fis-3240	34	2	1	1	NUM
fis-3240	34	3	]	]	PUNCT
fis-3240	34	4	.	.	PUNCT
fis-3240	35	1	in	in	ADP
fis-3240	35	2	2019	2019	NUM
fis-3240	35	3	,	,	PUNCT
fis-3240	35	4	a	a	DET
fis-3240	35	5	technique	technique	NOUN
fis-3240	35	6	coupling	couple	VERB
fis-3240	35	7	pod	pod	NOUN
fis-3240	35	8	-	-	PUNCT
fis-3240	35	9	rbf	rbf	PROPN
fis-3240	35	10	,	,	PUNCT
fis-3240	35	11	the	the	DET
fis-3240	35	12	extended	extended	ADJ
fis-3240	35	13	isogeometric	isogeometric	ADJ
fis-3240	35	14	analysis	analysis	NOUN
fis-3240	35	15	method	method	NOUN
fis-3240	35	16	,	,	PUNCT
fis-3240	35	17	and	and	CCONJ
fis-3240	35	18	the	the	DET
fis-3240	35	19	jaya	jaya	PROPN
fis-3240	35	20	algorithm	algorithm	PROPN
fis-3240	35	21	was	be	AUX
fis-3240	35	22	developed	develop	VERB
fis-3240	35	23	[	[	PUNCT
fis-3240	35	24	3	3	NUM
fis-3240	35	25	]	]	PUNCT
fis-3240	35	26	.	.	PUNCT
fis-3240	36	1	this	this	DET
fis-3240	36	2	technique	technique	NOUN
fis-3240	36	3	allows	allow	VERB
fis-3240	36	4	to	to	PART
fis-3240	36	5	accurately	accurately	ADV
fis-3240	36	6	identify	identify	VERB
fis-3240	36	7	the	the	DET
fis-3240	36	8	locations	location	NOUN
fis-3240	36	9	of	of	ADP
fis-3240	36	10	cracks	crack	NOUN
fis-3240	36	11	in	in	ADP
fis-3240	36	12	a	a	DET
fis-3240	36	13	steel	steel	NOUN
fis-3240	36	14	plate	plate	NOUN
fis-3240	36	15	based	base	VERB
fis-3240	36	16	on	on	ADP
fis-3240	36	17	strain	strain	ADJ
fis-3240	36	18	readings	reading	NOUN
fis-3240	36	19	.	.	PUNCT
fis-3240	37	1	in	in	ADP
fis-3240	37	2	[	[	X
fis-3240	37	3	4	4	NUM
fis-3240	37	4	]	]	PUNCT
fis-3240	37	5	,	,	PUNCT
fis-3240	37	6	the	the	DET
fis-3240	37	7	damages	damage	NOUN
fis-3240	37	8	in	in	ADP
fis-3240	37	9	the	the	DET
fis-3240	37	10	frp	frp	PROPN
fis-3240	37	11	-	-	PUNCT
fis-3240	37	12	strengthened	strengthen	VERB
fis-3240	37	13	reinforced	reinforce	VERB
fis-3240	37	14	concrete	concrete	NOUN
fis-3240	37	15	(	(	PUNCT
fis-3240	37	16	rc	rc	NOUN
fis-3240	37	17	)	)	PUNCT
fis-3240	37	18	beams	beam	NOUN
fis-3240	37	19	were	be	AUX
fis-3240	37	20	investigated	investigate	VERB
fis-3240	37	21	using	use	VERB
fis-3240	37	22	finite	finite	ADJ
fis-3240	37	23	element	element	NOUN
fis-3240	37	24	modeling	modeling	NOUN
fis-3240	37	25	.	.	PUNCT
fis-3240	38	1	recently	recently	ADV
fis-3240	38	2	,	,	PUNCT
fis-3240	38	3	a	a	DET
fis-3240	38	4	twostage	twostage	NOUN
fis-3240	38	5	approach	approach	NOUN
fis-3240	38	6	for	for	ADP
fis-3240	38	7	detecting	detect	VERB
fis-3240	38	8	damages	damage	NOUN
fis-3240	38	9	was	be	AUX
fis-3240	38	10	introduced	introduce	VERB
fis-3240	38	11	,	,	PUNCT
fis-3240	38	12	in	in	ADP
fis-3240	38	13	which	which	PRON
fis-3240	38	14	the	the	DET
fis-3240	38	15	modal	modal	ADJ
fis-3240	38	16	strain	strain	NOUN
fis-3240	38	17	energy	energy	NOUN
fis-3240	38	18	change	change	NOUN
fis-3240	38	19	ratio	ratio	NOUN
fis-3240	38	20	is	be	AUX
fis-3240	38	21	used	use	VERB
fis-3240	38	22	to	to	PART
fis-3240	38	23	forecast	forecast	VERB
fis-3240	38	24	the	the	DET
fis-3240	38	25	damages	damage	NOUN
fis-3240	38	26	’	'	PUNCT
fis-3240	38	27	locations	location	NOUN
fis-3240	38	28	and	and	CCONJ
fis-3240	38	29	the	the	DET
fis-3240	38	30	slime	slime	NOUN
fis-3240	38	31	mould	mould	AUX
fis-3240	38	32	algorithm	algorithm	PROPN
fis-3240	38	33	is	be	AUX
fis-3240	38	34	then	then	ADV
fis-3240	38	35	employed	employ	VERB
fis-3240	38	36	to	to	PART
fis-3240	38	37	quantify	quantify	VERB
fis-3240	38	38	the	the	DET
fis-3240	38	39	damages	damage	NOUN
fis-3240	38	40	[	[	X
fis-3240	38	41	5	5	NUM
fis-3240	38	42	]	]	PUNCT
fis-3240	38	43	.	.	PUNCT
fis-3240	39	1	this	this	DET
fis-3240	39	2	approach	approach	NOUN
fis-3240	39	3	is	be	AUX
fis-3240	39	4	verified	verify	VERB
fis-3240	39	5	with	with	ADP
fis-3240	39	6	the	the	DET
fis-3240	39	7	experimental	experimental	ADJ
fis-3240	39	8	results	result	NOUN
fis-3240	39	9	of	of	ADP
fis-3240	39	10	a	a	DET
fis-3240	39	11	3d	3d	NUM
fis-3240	39	12	four	four	NUM
fis-3240	39	13	stories	story	NOUN
fis-3240	39	14	frame	frame	NOUN
fis-3240	39	15	.	.	PUNCT
fis-3240	40	1	such	such	ADJ
fis-3240	40	2	methods	method	NOUN
fis-3240	40	3	can	can	AUX
fis-3240	40	4	accurately	accurately	ADV
fis-3240	40	5	evaluate	evaluate	VERB
fis-3240	40	6	the	the	DET
fis-3240	40	7	safety	safety	NOUN
fis-3240	40	8	of	of	ADP
fis-3240	40	9	structures	structure	NOUN
fis-3240	40	10	but	but	CCONJ
fis-3240	40	11	very	very	ADJ
fis-3240	40	12	time	time	NOUN
fis-3240	40	13	-	-	PUNCT
fis-3240	40	14	consuming	consume	VERB
fis-3240	40	15	.	.	PUNCT
fis-3240	41	1	in	in	ADP
fis-3240	41	2	some	some	DET
fis-3240	41	3	cases	case	NOUN
fis-3240	41	4	,	,	PUNCT
fis-3240	41	5	there	there	PRON
fis-3240	41	6	is	be	VERB
fis-3240	41	7	a	a	DET
fis-3240	41	8	need	need	NOUN
fis-3240	41	9	for	for	ADP
fis-3240	41	10	a	a	DET
fis-3240	41	11	model	model	NOUN
fis-3240	41	12	that	that	PRON
fis-3240	41	13	can	can	AUX
fis-3240	41	14	rapidly	rapidly	ADV
fis-3240	41	15	predict	predict	VERB
fis-3240	41	16	the	the	DET
fis-3240	41	17	safety	safety	NOUN
fis-3240	41	18	state	state	NOUN
fis-3240	41	19	of	of	ADP
fis-3240	41	20	structures	structure	NOUN
fis-3240	41	21	in	in	ADP
fis-3240	41	22	order	order	NOUN
fis-3240	41	23	to	to	PART
fis-3240	41	24	promptly	promptly	ADV
fis-3240	41	25	evacuate	evacuate	VERB
fis-3240	41	26	people	people	NOUN
fis-3240	41	27	from	from	ADP
fis-3240	41	28	the	the	DET
fis-3240	41	29	whole	whole	ADJ
fis-3240	41	30	structure	structure	NOUN
fis-3240	41	31	if	if	SCONJ
fis-3240	41	32	it	it	PRON
fis-3240	41	33	is	be	AUX
fis-3240	41	34	unsafe	unsafe	ADJ
fis-3240	41	35	.	.	PUNCT
fis-3240	42	1	after	after	ADP
fis-3240	42	2	that	that	PRON
fis-3240	42	3	,	,	PUNCT
fis-3240	42	4	the	the	DET
fis-3240	42	5	structure	structure	NOUN
fis-3240	42	6	still	still	ADV
fis-3240	42	7	needs	need	VERB
fis-3240	42	8	to	to	PART
fis-3240	42	9	be	be	AUX
fis-3240	42	10	exactly	exactly	ADV
fis-3240	42	11	re	re	VERB
fis-3240	42	12	-	-	VERB
fis-3240	42	13	checked	check	VERB
fis-3240	42	14	by	by	ADP
fis-3240	42	15	engineers	engineer	NOUN
fis-3240	42	16	.	.	PUNCT
fis-3240	43	1	the	the	DET
fis-3240	43	2	rapid	rapid	ADJ
fis-3240	43	3	safety	safety	NOUN
fis-3240	43	4	assessment	assessment	NOUN
fis-3240	43	5	model	model	NOUN
fis-3240	43	6	can	can	AUX
fis-3240	43	7	be	be	AUX
fis-3240	43	8	integrated	integrate	VERB
fis-3240	43	9	with	with	ADP
fis-3240	43	10	the	the	DET
fis-3240	43	11	structural	structural	ADJ
fis-3240	43	12	health	health	NOUN
fis-3240	43	13	monitoring	monitoring	NOUN
fis-3240	43	14	system	system	NOUN
fis-3240	43	15	,	,	PUNCT
fis-3240	43	16	in	in	ADP
fis-3240	43	17	which	which	PRON
fis-3240	43	18	information	information	NOUN
fis-3240	43	19	obtained	obtain	VERB
fis-3240	43	20	from	from	ADP
fis-3240	43	21	sensors	sensor	NOUN
fis-3240	43	22	is	be	AUX
fis-3240	43	23	fed	feed	VERB
fis-3240	43	24	into	into	ADP
fis-3240	43	25	such	such	ADJ
fis-3240	43	26	model	model	NOUN
fis-3240	43	27	as	as	ADP
fis-3240	43	28	inputs	input	NOUN
fis-3240	43	29	.	.	PUNCT
fis-3240	44	1	the	the	DET
fis-3240	44	2	output	output	NOUN
fis-3240	44	3	of	of	ADP
fis-3240	44	4	the	the	DET
fis-3240	44	5	model	model	NOUN
fis-3240	44	6	is	be	AUX
fis-3240	44	7	a	a	DET
fis-3240	44	8	prediction	prediction	NOUN
fis-3240	44	9	of	of	ADP
fis-3240	44	10	whether	whether	SCONJ
fis-3240	44	11	the	the	DET
fis-3240	44	12	structure	structure	NOUN
fis-3240	44	13	is	be	AUX
fis-3240	44	14	safe	safe	ADJ
fis-3240	44	15	or	or	CCONJ
fis-3240	44	16	unsafe	unsafe	ADJ
fis-3240	44	17	.	.	PUNCT
fis-3240	45	1	this	this	PRON
fis-3240	45	2	is	be	AUX
fis-3240	45	3	a	a	DET
fis-3240	45	4	kind	kind	NOUN
fis-3240	45	5	of	of	ADP
fis-3240	45	6	binary	binary	ADJ
fis-3240	45	7	classification	classification	NOUN
fis-3240	45	8	problem	problem	NOUN
fis-3240	45	9	and	and	CCONJ
fis-3240	45	10	it	it	PRON
fis-3240	45	11	can	can	AUX
fis-3240	45	12	be	be	AUX
fis-3240	45	13	solved	solve	VERB
fis-3240	45	14	by	by	ADP
fis-3240	45	15	machine	machine	NOUN
fis-3240	45	16	learning	learning	NOUN
fis-3240	45	17	(	(	PUNCT
fis-3240	45	18	ml	ml	NOUN
fis-3240	45	19	)	)	PUNCT
fis-3240	45	20	algorithms	algorithm	NOUN
fis-3240	45	21	.	.	PUNCT
fis-3240	46	1	in	in	ADP
fis-3240	46	2	the	the	DET
fis-3240	46	3	literature	literature	NOUN
fis-3240	46	4	,	,	PUNCT
fis-3240	46	5	there	there	PRON
fis-3240	46	6	are	be	VERB
fis-3240	46	7	many	many	ADJ
fis-3240	46	8	previous	previous	ADJ
fis-3240	46	9	studies	study	NOUN
fis-3240	46	10	that	that	PRON
fis-3240	46	11	have	have	AUX
fis-3240	46	12	applied	apply	VERB
fis-3240	46	13	ml	ml	PROPN
fis-3240	46	14	for	for	ADP
fis-3240	46	15	structural	structural	ADJ
fis-3240	46	16	health	health	NOUN
fis-3240	46	17	monitoring	monitoring	NOUN
fis-3240	46	18	.	.	PUNCT
fis-3240	47	1	in	in	ADP
fis-3240	47	2	several	several	ADJ
fis-3240	47	3	works	work	NOUN
fis-3240	47	4	,	,	PUNCT
fis-3240	47	5	artificial	artificial	ADJ
fis-3240	47	6	neural	neural	ADJ
fis-3240	47	7	networks	network	NOUN
fis-3240	47	8	(	(	PUNCT
fis-3240	47	9	anns	anns	PROPN
fis-3240	47	10	)	)	PUNCT
fis-3240	47	11	were	be	AUX
fis-3240	47	12	used	use	VERB
fis-3240	47	13	to	to	PART
fis-3240	47	14	forecast	forecast	VERB
fis-3240	47	15	the	the	DET
fis-3240	47	16	damages	damage	NOUN
fis-3240	47	17	in	in	ADP
fis-3240	47	18	the	the	DET
fis-3240	47	19	plates	plate	NOUN
fis-3240	47	20	instead	instead	ADV
fis-3240	47	21	of	of	ADP
fis-3240	47	22	solving	solve	VERB
fis-3240	47	23	the	the	DET
fis-3240	47	24	inverse	inverse	NOUN
fis-3240	47	25	problem	problem	NOUN
fis-3240	47	26	by	by	ADP
fis-3240	47	27	optimization	optimization	NOUN
fis-3240	47	28	algorithms	algorithm	NOUN
fis-3240	47	29	[	[	X
fis-3240	47	30	6,7	6,7	NUM
fis-3240	47	31	]	]	PUNCT
fis-3240	47	32	.	.	PUNCT
fis-3240	48	1	besides	besides	SCONJ
fis-3240	48	2	,	,	PUNCT
fis-3240	48	3	it	it	PRON
fis-3240	48	4	can	can	AUX
fis-3240	48	5	be	be	AUX
fis-3240	48	6	observed	observe	VERB
fis-3240	48	7	that	that	SCONJ
fis-3240	48	8	the	the	DET
fis-3240	48	9	topic	topic	NOUN
fis-3240	48	10	of	of	ADP
fis-3240	48	11	deep	deep	ADJ
fis-3240	48	12	learning	learning	NOUN
fis-3240	48	13	has	have	AUX
fis-3240	48	14	been	be	AUX
fis-3240	48	15	received	receive	VERB
fis-3240	48	16	great	great	ADJ
fis-3240	48	17	attention	attention	NOUN
fis-3240	48	18	from	from	ADP
fis-3240	48	19	researchers	researcher	NOUN
fis-3240	48	20	.	.	PUNCT
fis-3240	49	1	since	since	SCONJ
fis-3240	49	2	alexnet	alexnet	NOUN
fis-3240	49	3	,	,	PUNCT
fis-3240	49	4	the	the	DET
fis-3240	49	5	winner	winner	NOUN
fis-3240	49	6	of	of	ADP
fis-3240	49	7	the	the	DET
fis-3240	49	8	imagenet	imagenet	NOUN
fis-3240	49	9	challenge	challenge	NOUN
fis-3240	49	10	,	,	PUNCT
fis-3240	49	11	was	be	AUX
fis-3240	49	12	first	first	ADV
fis-3240	49	13	introduced	introduce	VERB
fis-3240	49	14	in	in	ADP
fis-3240	49	15	2012	2012	NUM
fis-3240	49	16	,	,	PUNCT
fis-3240	49	17	the	the	DET
fis-3240	49	18	convolutional	convolutional	ADJ
fis-3240	49	19	neural	neural	ADJ
fis-3240	49	20	network	network	NOUN
fis-3240	49	21	(	(	PUNCT
fis-3240	49	22	cnn	cnn	PROPN
fis-3240	49	23	)	)	PUNCT
fis-3240	49	24	architecture	architecture	NOUN
fis-3240	49	25	has	have	AUX
fis-3240	49	26	become	become	VERB
fis-3240	49	27	extremely	extremely	ADV
fis-3240	49	28	popular	popular	ADJ
fis-3240	49	29	in	in	ADP
fis-3240	49	30	the	the	DET
fis-3240	49	31	field	field	NOUN
fis-3240	49	32	of	of	ADP
fis-3240	49	33	computer	computer	NOUN
fis-3240	49	34	vision	vision	NOUN
fis-3240	49	35	and	and	CCONJ
fis-3240	49	36	it	it	PRON
fis-3240	49	37	has	have	AUX
fis-3240	49	38	been	be	AUX
fis-3240	49	39	used	use	VERB
fis-3240	49	40	in	in	ADP
fis-3240	49	41	many	many	ADJ
fis-3240	49	42	domains	domain	NOUN
fis-3240	49	43	.	.	PUNCT
fis-3240	50	1	in	in	ADP
fis-3240	50	2	the	the	DET
fis-3240	50	3	field	field	NOUN
fis-3240	50	4	of	of	ADP
fis-3240	50	5	civil	civil	ADJ
fis-3240	50	6	engineering	engineering	NOUN
fis-3240	50	7	,	,	PUNCT
fis-3240	50	8	the	the	DET
fis-3240	50	9	cnn	cnn	NOUN
fis-3240	50	10	architecture	architecture	NOUN
fis-3240	50	11	and	and	CCONJ
fis-3240	50	12	its	its	PRON
fis-3240	50	13	variations	variation	NOUN
fis-3240	50	14	such	such	ADJ
fis-3240	50	15	as	as	ADP
fis-3240	50	16	unet	unet	NOUN
fis-3240	50	17	have	have	AUX
fis-3240	50	18	been	be	AUX
fis-3240	50	19	applied	apply	VERB
fis-3240	50	20	to	to	PART
fis-3240	50	21	detect	detect	VERB
fis-3240	50	22	cracks	crack	NOUN
fis-3240	50	23	on	on	ADP
fis-3240	50	24	concrete	concrete	ADJ
fis-3240	50	25	[	[	X
fis-3240	50	26	8	8	NUM
fis-3240	50	27	-	-	SYM
fis-3240	50	28	10	10	NUM
fis-3240	50	29	]	]	PUNCT
fis-3240	50	30	as	as	ADV
fis-3240	50	31	well	well	ADV
fis-3240	50	32	as	as	ADP
fis-3240	50	33	welded	weld	VERB
fis-3240	50	34	joints	joint	NOUN
fis-3240	50	35	[	[	X
fis-3240	50	36	11	11	NUM
fis-3240	50	37	]	]	PUNCT
fis-3240	50	38	,	,	PUNCT
fis-3240	50	39	corrosions	corrosion	NOUN
fis-3240	50	40	on	on	ADP
fis-3240	50	41	steel	steel	NOUN
fis-3240	50	42	surfaces	surface	NOUN
fis-3240	50	43	[	[	X
fis-3240	50	44	12	12	NUM
fis-3240	50	45	]	]	PUNCT
fis-3240	50	46	,	,	PUNCT
fis-3240	50	47	damages	damage	NOUN
fis-3240	50	48	on	on	ADP
fis-3240	50	49	buildings	building	NOUN
fis-3240	50	50	[	[	X
fis-3240	50	51	13	13	NUM
fis-3240	50	52	]	]	PUNCT
fis-3240	50	53	,	,	PUNCT
fis-3240	50	54	etc	etc	X
fis-3240	50	55	.	.	X
fis-3240	50	56	for	for	ADP
fis-3240	50	57	handling	handle	VERB
fis-3240	50	58	time	time	NOUN
fis-3240	50	59	series	series	PROPN
fis-3240	50	60	data	data	PROPN
fis-3240	50	61	,	,	PUNCT
fis-3240	50	62	the	the	DET
fis-3240	50	63	rnn	rnn	NOUN
fis-3240	50	64	architecture	architecture	NOUN
fis-3240	50	65	and	and	CCONJ
fis-3240	50	66	its	its	PRON
fis-3240	50	67	variation	variation	NOUN
fis-3240	50	68	lstm	lstm	NOUN
fis-3240	50	69	are	be	AUX
fis-3240	50	70	state	state	NOUN
fis-3240	50	71	-	-	PUNCT
fis-3240	50	72	of	of	ADP
fis-3240	50	73	-	-	PUNCT
fis-3240	50	74	theart	theart	NOUN
fis-3240	50	75	[	[	X
fis-3240	50	76	14	14	NUM
fis-3240	50	77	-	-	SYM
fis-3240	50	78	16	16	NUM
fis-3240	50	79	]	]	PUNCT
fis-3240	50	80	.	.	PUNCT
fis-3240	51	1	obviously	obviously	ADV
fis-3240	51	2	,	,	PUNCT
fis-3240	51	3	deep	deep	ADJ
fis-3240	51	4	learning	learning	NOUN
fis-3240	51	5	algorithms	algorithm	NOUN
fis-3240	51	6	like	like	ADP
fis-3240	51	7	cnn	cnn	PROPN
fis-3240	51	8	,	,	PUNCT
fis-3240	51	9	rnn	rnn	VERB
fis-3240	51	10	outperform	outperform	ADJ
fis-3240	51	11	conventional	conventional	ADJ
fis-3240	51	12	ml	ml	NOUN
fis-3240	51	13	algorithms	algorithm	NOUN
fis-3240	51	14	on	on	ADP
fis-3240	51	15	unstructured	unstructured	ADJ
fis-3240	51	16	data	datum	NOUN
fis-3240	51	17	due	due	ADP
fis-3240	51	18	to	to	ADP
fis-3240	51	19	their	their	PRON
fis-3240	51	20	automatic	automatic	ADJ
fis-3240	51	21	feature	feature	NOUN
fis-3240	51	22	extraction	extraction	NOUN
fis-3240	51	23	capability	capability	NOUN
fis-3240	51	24	.	.	PUNCT
fis-3240	52	1	however	however	ADV
fis-3240	52	2	,	,	PUNCT
fis-3240	52	3	they	they	PRON
fis-3240	52	4	do	do	AUX
fis-3240	52	5	n’t	not	PART
fis-3240	52	6	work	work	VERB
fis-3240	52	7	well	well	ADV
fis-3240	52	8	on	on	ADP
fis-3240	52	9	tabular	tabular	PROPN
fis-3240	52	10	data	datum	NOUN
fis-3240	52	11	.	.	PUNCT
fis-3240	53	1	for	for	ADP
fis-3240	53	2	such	such	ADJ
fis-3240	53	3	kinds	kind	NOUN
fis-3240	53	4	of	of	ADP
fis-3240	53	5	data	datum	NOUN
fis-3240	53	6	,	,	PUNCT
fis-3240	53	7	the	the	DET
fis-3240	53	8	conventional	conventional	ADJ
fis-3240	53	9	ml	ml	X
fis-3240	53	10	algorithms	algorithm	NOUN
fis-3240	53	11	,	,	PUNCT
fis-3240	53	12	for	for	ADP
fis-3240	53	13	example	example	NOUN
fis-3240	53	14	,	,	PUNCT
fis-3240	53	15	decision	decision	NOUN
fis-3240	53	16	tree	tree	NOUN
fis-3240	53	17	(	(	PUNCT
fis-3240	53	18	dt	dt	PROPN
fis-3240	53	19	)	)	PUNCT
fis-3240	53	20	,	,	PUNCT
fis-3240	53	21	support	support	NOUN
fis-3240	53	22	vector	vector	NOUN
fis-3240	53	23	machine	machine	NOUN
fis-3240	53	24	(	(	PUNCT
fis-3240	53	25	svm	svm	PROPN
fis-3240	53	26	)	)	PUNCT
fis-3240	53	27	,	,	PUNCT
fis-3240	53	28	are	be	AUX
fis-3240	53	29	good	good	ADJ
fis-3240	53	30	choices	choice	NOUN
fis-3240	53	31	.	.	PUNCT
fis-3240	54	1	recently	recently	ADV
fis-3240	54	2	,	,	PUNCT
fis-3240	54	3	ensemble	ensemble	ADJ
fis-3240	54	4	methods	method	NOUN
fis-3240	54	5	have	have	AUX
fis-3240	54	6	been	be	AUX
fis-3240	54	7	particularly	particularly	ADV
fis-3240	54	8	preferred	prefer	VERB
fis-3240	54	9	,	,	PUNCT
fis-3240	54	10	shown	show	VERB
fis-3240	54	11	by	by	ADP
fis-3240	54	12	their	their	PRON
fis-3240	54	13	applications	application	NOUN
fis-3240	54	14	in	in	ADP
fis-3240	54	15	kaggle	kaggle	ADJ
fis-3240	54	16	data	datum	NOUN
fis-3240	54	17	science	science	NOUN
fis-3240	54	18	competitions	competition	NOUN
fis-3240	54	19	.	.	PUNCT
fis-3240	55	1	the	the	DET
fis-3240	55	2	concept	concept	NOUN
fis-3240	55	3	of	of	ADP
fis-3240	55	4	ensemble	ensemble	ADJ
fis-3240	55	5	methods	method	NOUN
fis-3240	55	6	is	be	AUX
fis-3240	55	7	to	to	PART
fis-3240	55	8	create	create	VERB
fis-3240	55	9	a	a	DET
fis-3240	55	10	strong	strong	ADJ
fis-3240	55	11	classifier	classifier	NOUN
fis-3240	55	12	from	from	ADP
fis-3240	55	13	several	several	ADJ
fis-3240	55	14	weak	weak	ADJ
fis-3240	55	15	classifiers	classifier	NOUN
fis-3240	55	16	.	.	PUNCT
fis-3240	56	1	some	some	DET
fis-3240	56	2	commonly	commonly	ADV
fis-3240	56	3	used	use	VERB
fis-3240	56	4	ensemble	ensemble	ADJ
fis-3240	56	5	methods	method	NOUN
fis-3240	56	6	are	be	AUX
fis-3240	56	7	random	random	ADJ
fis-3240	56	8	forest	forest	NOUN
fis-3240	56	9	(	(	PUNCT
fis-3240	56	10	rf	rf	NOUN
fis-3240	56	11	)	)	PUNCT
fis-3240	56	12	,	,	PUNCT
fis-3240	56	13	extreme	extreme	ADJ
fis-3240	56	14	gradient	gradient	NOUN
fis-3240	56	15	boosting	boost	VERB
fis-3240	56	16	(	(	PUNCT
fis-3240	56	17	xgboost	xgboost	ADV
fis-3240	56	18	)	)	PUNCT
fis-3240	56	19	,	,	PUNCT
fis-3240	56	20	gradient	gradient	NOUN
fis-3240	56	21	tree	tree	NOUN
fis-3240	56	22	boosting	boost	VERB
fis-3240	56	23	(	(	PUNCT
fis-3240	56	24	gtb	gtb	NOUN
fis-3240	56	25	)	)	PUNCT
fis-3240	56	26	.	.	PUNCT
fis-3240	57	1	in	in	ADP
fis-3240	57	2	the	the	DET
fis-3240	57	3	literature	literature	NOUN
fis-3240	57	4	,	,	PUNCT
fis-3240	57	5	zhang	zhang	PROPN
fis-3240	57	6	et	et	PROPN
fis-3240	57	7	al	al	PROPN
fis-3240	57	8	.	.	PUNCT
fis-3240	58	1	[	[	X
fis-3240	58	2	17	17	NUM
fis-3240	58	3	]	]	PUNCT
fis-3240	58	4	utilized	utilize	VERB
fis-3240	58	5	dt	dt	NOUN
fis-3240	58	6	and	and	CCONJ
fis-3240	58	7	rf	rf	VERB
fis-3240	58	8	for	for	ADP
fis-3240	58	9	evaluating	evaluate	VERB
fis-3240	58	10	the	the	DET
fis-3240	58	11	structural	structural	ADJ
fis-3240	58	12	safety	safety	NOUN
fis-3240	58	13	state	state	NOUN
fis-3240	58	14	of	of	ADP
fis-3240	58	15	rc	rc	PROPN
fis-3240	58	16	buildings	building	NOUN
fis-3240	58	17	after	after	ADP
fis-3240	58	18	an	an	DET
fis-3240	58	19	earthquake	earthquake	NOUN
fis-3240	58	20	.	.	PUNCT
fis-3240	59	1	in	in	ADP
fis-3240	59	2	[	[	X
fis-3240	59	3	18	18	NUM
fis-3240	59	4	]	]	PUNCT
fis-3240	59	5	,	,	PUNCT
fis-3240	59	6	the	the	DET
fis-3240	59	7	gtb	gtb	NOUN
fis-3240	59	8	algorithm	algorithm	NOUN
fis-3240	59	9	was	be	AUX
fis-3240	59	10	used	use	VERB
fis-3240	59	11	to	to	PART
fis-3240	59	12	evaluate	evaluate	VERB
fis-3240	59	13	the	the	DET
fis-3240	59	14	safety	safety	NOUN
fis-3240	59	15	of	of	ADP
fis-3240	59	16	trusses	truss	NOUN
fis-3240	59	17	.	.	PUNCT
fis-3240	60	1	in	in	ADP
fis-3240	60	2	addition	addition	NOUN
fis-3240	60	3	,	,	PUNCT
fis-3240	60	4	a	a	DET
fis-3240	60	5	comparative	comparative	ADJ
fis-3240	60	6	study	study	NOUN
fis-3240	60	7	of	of	ADP
fis-3240	60	8	ml	ml	NOUN
fis-3240	60	9	algorithms	algorithm	NOUN
fis-3240	60	10	for	for	ADP
fis-3240	60	11	predicting	predict	VERB
fis-3240	60	12	the	the	DET
fis-3240	60	13	load	load	NOUN
fis-3240	60	14	-	-	PUNCT
fis-3240	60	15	carrying	carry	VERB
fis-3240	60	16	capacity	capacity	NOUN
fis-3240	60	17	of	of	ADP
fis-3240	60	18	steel	steel	NOUN
fis-3240	60	19	frames	frame	NOUN
fis-3240	60	20	was	be	AUX
fis-3240	60	21	conducted	conduct	VERB
fis-3240	60	22	[	[	X
fis-3240	60	23	19	19	NUM
fis-3240	60	24	]	]	PUNCT
fis-3240	60	25	.	.	PUNCT
fis-3240	61	1	the	the	DET
fis-3240	61	2	results	result	NOUN
fis-3240	61	3	showed	show	VERB
fis-3240	61	4	that	that	SCONJ
fis-3240	61	5	two	two	NUM
fis-3240	61	6	ensemble	ensemble	ADJ
fis-3240	61	7	methods	method	NOUN
fis-3240	61	8	,	,	PUNCT
fis-3240	61	9	including	include	VERB
fis-3240	61	10	rf	rf	NOUN
fis-3240	61	11	and	and	CCONJ
fis-3240	61	12	gtb	gtb	NOUN
fis-3240	61	13	,	,	PUNCT
fis-3240	61	14	achieved	achieve	VERB
fis-3240	61	15	better	well	ADJ
fis-3240	61	16	performance	performance	NOUN
fis-3240	61	17	than	than	ADP
fis-3240	61	18	the	the	DET
fis-3240	61	19	remaining	remain	VERB
fis-3240	61	20	ones	one	NOUN
fis-3240	61	21	.	.	PUNCT
fis-3240	62	1	among	among	ADP
fis-3240	62	2	ensemble	ensemble	ADJ
fis-3240	62	3	methods	method	NOUN
fis-3240	62	4	,	,	PUNCT
fis-3240	62	5	adaboost	adaboost	ADV
fis-3240	62	6	,	,	PUNCT
fis-3240	62	7	short	short	ADJ
fis-3240	62	8	for	for	ADP
fis-3240	62	9	adaptive	adaptive	ADJ
fis-3240	62	10	boosting	boosting	NOUN
fis-3240	62	11	,	,	PUNCT
fis-3240	62	12	was	be	AUX
fis-3240	62	13	the	the	DET
fis-3240	62	14	first	first	ADJ
fis-3240	62	15	successful	successful	ADJ
fis-3240	62	16	boosting	boost	VERB
fis-3240	62	17	algorithm	algorithm	NOUN
fis-3240	62	18	developed	develop	VERB
fis-3240	62	19	for	for	ADP
fis-3240	62	20	binary	binary	ADJ
fis-3240	62	21	classification	classification	NOUN
fis-3240	62	22	[	[	X
fis-3240	62	23	20	20	NUM
fis-3240	62	24	]	]	PUNCT
fis-3240	62	25	.	.	PUNCT
fis-3240	63	1	this	this	DET
fis-3240	63	2	algorithm	algorithm	NOUN
fis-3240	63	3	has	have	AUX
fis-3240	63	4	been	be	AUX
fis-3240	63	5	applied	apply	VERB
fis-3240	63	6	to	to	PART
fis-3240	63	7	predict	predict	VERB
fis-3240	63	8	the	the	DET
fis-3240	63	9	failure	failure	NOUN
fis-3240	63	10	modes	mode	NOUN
fis-3240	63	11	and	and	CCONJ
fis-3240	63	12	the	the	DET
fis-3240	63	13	load	load	NOUN
fis-3240	63	14	-	-	PUNCT
fis-3240	63	15	bearing	bear	VERB
fis-3240	63	16	capacity	capacity	NOUN
fis-3240	63	17	of	of	ADP
fis-3240	63	18	rc	rc	PROPN
fis-3240	63	19	columns	column	NOUN
fis-3240	63	20	[	[	X
fis-3240	63	21	21	21	NUM
fis-3240	63	22	]	]	PUNCT
fis-3240	63	23	,	,	PUNCT
fis-3240	63	24	and	and	CCONJ
fis-3240	63	25	the	the	DET
fis-3240	63	26	compressive	compressive	ADJ
fis-3240	63	27	strength	strength	NOUN
fis-3240	63	28	for	for	ADP
fis-3240	63	29	concrete	concrete	NOUN
fis-3240	63	30	[	[	X
fis-3240	63	31	22	22	NUM
fis-3240	63	32	]	]	PUNCT
fis-3240	63	33	.	.	PUNCT
fis-3240	64	1	however	however	ADV
fis-3240	64	2	,	,	PUNCT
fis-3240	64	3	according	accord	VERB
fis-3240	64	4	to	to	ADP
fis-3240	64	5	the	the	DET
fis-3240	64	6	literature	literature	PROPN
fis-3240	64	7	review	review	NOUN
fis-3240	64	8	,	,	PUNCT
fis-3240	64	9	there	there	PRON
fis-3240	64	10	has	have	AUX
fis-3240	64	11	not	not	PART
fis-3240	64	12	been	be	AUX
fis-3240	64	13	a	a	DET
fis-3240	64	14	study	study	NOUN
fis-3240	64	15	related	relate	VERB
fis-3240	64	16	to	to	ADP
fis-3240	64	17	the	the	DET
fis-3240	64	18	application	application	NOUN
fis-3240	64	19	of	of	ADP
fis-3240	64	20	adaboost	adaboost	ADV
fis-3240	64	21	for	for	ADP
fis-3240	64	22	classifying	classify	VERB
fis-3240	64	23	the	the	DET
fis-3240	64	24	safety	safety	NOUN
fis-3240	64	25	of	of	ADP
fis-3240	64	26	structures	structure	NOUN
fis-3240	64	27	.	.	PUNCT
fis-3240	65	1	this	this	DET
fis-3240	65	2	paper	paper	NOUN
fis-3240	65	3	aims	aim	VERB
fis-3240	65	4	to	to	PART
fis-3240	65	5	investigate	investigate	VERB
fis-3240	65	6	the	the	DET
fis-3240	65	7	capability	capability	NOUN
fis-3240	65	8	of	of	ADP
fis-3240	65	9	the	the	DET
fis-3240	65	10	ensemble	ensemble	ADJ
fis-3240	65	11	method	method	NOUN
fis-3240	65	12	adaboost	adaboost	ADV
fis-3240	65	13	in	in	ADP
fis-3240	65	14	evaluating	evaluate	VERB
fis-3240	65	15	the	the	DET
fis-3240	65	16	safety	safety	NOUN
fis-3240	65	17	of	of	ADP
fis-3240	65	18	truss	truss	ADJ
fis-3240	65	19	structures	structure	NOUN
fis-3240	65	20	.	.	PUNCT
fis-3240	66	1	for	for	ADP
fis-3240	66	2	this	this	DET
fis-3240	66	3	purpose	purpose	NOUN
fis-3240	66	4	,	,	PUNCT
fis-3240	66	5	the	the	DET
fis-3240	66	6	performance	performance	NOUN
fis-3240	66	7	of	of	ADP
fis-3240	66	8	adaboost	adaboost	ADV
fis-3240	66	9	is	be	AUX
fis-3240	66	10	compared	compare	VERB
fis-3240	66	11	with	with	ADP
fis-3240	66	12	two	two	NUM
fis-3240	66	13	popular	popular	ADJ
fis-3240	66	14	classification	classification	NOUN
fis-3240	66	15	algorithms	algorithm	NOUN
fis-3240	66	16	,	,	PUNCT
fis-3240	66	17	i.e.	i.e.	X
fis-3240	66	18	,	,	PUNCT
fis-3240	66	19	ann	ann	PROPN
fis-3240	66	20	and	and	CCONJ
fis-3240	66	21	svm	svm	PROPN
fis-3240	66	22	,	,	PUNCT
fis-3240	66	23	in	in	ADP
fis-3240	66	24	terms	term	NOUN
fis-3240	66	25	of	of	ADP
fis-3240	66	26	the	the	DET
fis-3240	66	27	accuracy	accuracy	NOUN
fis-3240	66	28	and	and	CCONJ
fis-3240	66	29	the	the	DET
fis-3240	66	30	area	area	NOUN
fis-3240	66	31	under	under	ADP
fis-3240	66	32	the	the	DET
fis-3240	66	33	roc	roc	PROPN
fis-3240	66	34	curve	curve	NOUN
fis-3240	66	35	.	.	PUNCT
fis-3240	67	1	the	the	DET
fis-3240	67	2	comparison	comparison	NOUN
fis-3240	67	3	is	be	AUX
fis-3240	67	4	conducted	conduct	VERB
fis-3240	67	5	on	on	ADP
fis-3240	67	6	three	three	NUM
fis-3240	67	7	well	well	ADV
fis-3240	67	8	-	-	PUNCT
fis-3240	67	9	known	know	VERB
fis-3240	67	10	truss	truss	NOUN
fis-3240	67	11	structures	structure	NOUN
fis-3240	67	12	of	of	ADP
fis-3240	67	13	10	10	NUM
fis-3240	67	14	bars	bar	NOUN
fis-3240	67	15	,	,	PUNCT
fis-3240	67	16	25	25	NUM
fis-3240	67	17	bars	bar	NOUN
fis-3240	67	18	,	,	PUNCT
fis-3240	67	19	and	and	CCONJ
fis-3240	67	20	47	47	NUM
fis-3240	67	21	bars	bar	NOUN
fis-3240	67	22	.	.	PUNCT
fis-3240	68	1	additionally	additionally	ADV
fis-3240	68	2	,	,	PUNCT
fis-3240	68	3	an	an	DET
fis-3240	68	4	investigation	investigation	NOUN
fis-3240	68	5	on	on	ADP
fis-3240	68	6	the	the	DET
fis-3240	68	7	influence	influence	NOUN
fis-3240	68	8	of	of	ADP
fis-3240	68	9	the	the	DET
fis-3240	68	10	parameters	parameter	NOUN
fis-3240	68	11	on	on	ADP
fis-3240	68	12	the	the	DET
fis-3240	68	13	performance	performance	NOUN
fis-3240	68	14	of	of	ADP
fis-3240	68	15	the	the	DET
fis-3240	68	16	adaboost	adaboost	ADJ
fis-3240	68	17	model	model	NOUN
fis-3240	68	18	is	be	AUX
fis-3240	68	19	also	also	ADV
fis-3240	68	20	carried	carry	VERB
fis-3240	68	21	out	out	ADP
fis-3240	68	22	.	.	PUNCT
fis-3240	69	1	classification	classification	NOUN
fis-3240	69	2	of	of	ADP
fis-3240	69	3	the	the	DET
fis-3240	69	4	safety	safety	NOUN
fis-3240	69	5	state	state	NOUN
fis-3240	69	6	of	of	ADP
fis-3240	69	7	trusses	truss	NOUN
fis-3240	69	8	using	use	VERB
fis-3240	69	9	machine	machine	NOUN
fis-3240	69	10	learning	learn	VERB
fis-3240	69	11	machine	machine	NOUN
fis-3240	69	12	learning	learning	NOUN
fis-3240	69	13	-	-	PUNCT
fis-3240	69	14	based	base	VERB
fis-3240	69	15	framework	framework	NOUN
fis-3240	69	16	for	for	ADP
fis-3240	69	17	safety	safety	NOUN
fis-3240	69	18	classification	classification	NOUN
fis-3240	69	19	of	of	ADP
fis-3240	69	20	trusses	truss	NOUN
fis-3240	69	21	he	he	PRON
fis-3240	69	22	framework	framework	VERB
fis-3240	69	23	for	for	ADP
fis-3240	69	24	structural	structural	ADJ
fis-3240	69	25	safety	safety	NOUN
fis-3240	69	26	classification	classification	NOUN
fis-3240	69	27	of	of	ADP
fis-3240	69	28	truss	truss	ADJ
fis-3240	69	29	structures	structure	NOUN
fis-3240	69	30	using	use	VERB
fis-3240	69	31	ml	ml	NOUN
fis-3240	69	32	is	be	AUX
fis-3240	69	33	presented	present	VERB
fis-3240	69	34	in	in	ADP
fis-3240	69	35	fig	fig	NOUN
fis-3240	69	36	.	.	PUNCT
fis-3240	70	1	1	1	X
fis-3240	70	2	.	.	PUNCT
fis-3240	70	3	the	the	DET
fis-3240	70	4	main	main	ADJ
fis-3240	70	5	characteristics	characteristic	NOUN
fis-3240	70	6	of	of	ADP
fis-3240	70	7	truss	truss	ADJ
fis-3240	70	8	structures	structure	NOUN
fis-3240	70	9	are	be	AUX
fis-3240	70	10	truss	truss	ADJ
fis-3240	70	11	members	member	NOUN
fis-3240	70	12	’	'	PUNCT
fis-3240	70	13	sectional	sectional	ADJ
fis-3240	70	14	areas	area	NOUN
fis-3240	70	15	and	and	CCONJ
fis-3240	70	16	these	these	DET
fis-3240	70	17	values	value	NOUN
fis-3240	70	18	are	be	AUX
fis-3240	70	19	used	use	VERB
fis-3240	70	20	as	as	ADP
fis-3240	70	21	inputs	input	NOUN
fis-3240	70	22	of	of	ADP
fis-3240	70	23	the	the	DET
fis-3240	70	24	ml	ml	PROPN
fis-3240	70	25	model	model	NOUN
fis-3240	70	26	.	.	PUNCT
fis-3240	71	1	the	the	DET
fis-3240	71	2	output	output	NOUN
fis-3240	71	3	is	be	AUX
fis-3240	71	4	the	the	DET
fis-3240	71	5	safety	safety	NOUN
fis-3240	71	6	state	state	NOUN
fis-3240	71	7	of	of	ADP
fis-3240	71	8	structures	structure	NOUN
fis-3240	71	9	.	.	PUNCT
fis-3240	72	1	the	the	DET
fis-3240	72	2	inputs	input	NOUN
fis-3240	72	3	of	of	ADP
fis-3240	72	4	training	training	NOUN
fis-3240	72	5	data	datum	NOUN
fis-3240	72	6	are	be	AUX
fis-3240	72	7	generated	generate	VERB
fis-3240	72	8	using	use	VERB
fis-3240	72	9	a	a	DET
fis-3240	72	10	sampling	sampling	NOUN
fis-3240	72	11	method	method	NOUN
fis-3240	72	12	,	,	PUNCT
fis-3240	72	13	t	t	PROPN
fis-3240	72	14	t.-h	t.-h	NOUN
fis-3240	72	15	.	.	PUNCT
fis-3240	73	1	nguyen	nguyen	PROPN
fis-3240	73	2	et	et	PROPN
fis-3240	73	3	alii	alii	PROPN
fis-3240	73	4	,	,	PUNCT
fis-3240	73	5	frattura	frattura	PROPN
fis-3240	73	6	ed	ed	PROPN
fis-3240	73	7	integrità	integrità	PROPN
fis-3240	73	8	strutturale	strutturale	PROPN
fis-3240	73	9	,	,	PUNCT
fis-3240	73	10	58	58	NUM
fis-3240	73	11	(	(	PUNCT
fis-3240	73	12	2021	2021	NUM
fis-3240	73	13	)	)	PUNCT
fis-3240	73	14	308	308	NUM
fis-3240	73	15	-	-	SYM
fis-3240	73	16	318	318	NUM
fis-3240	73	17	;	;	PUNCT
fis-3240	73	18	doi	doi	NOUN
fis-3240	73	19	:	:	PUNCT
fis-3240	73	20	10.3221	10.3221	NUM
fis-3240	73	21	/	/	SYM
fis-3240	73	22	igf	igf	PROPN
fis-3240	73	23	-	-	PUNCT
fis-3240	73	24	esis.58.23	esis.58.23	PROPN
fis-3240	73	25	310	310	NUM
fis-3240	73	26	which	which	PRON
fis-3240	73	27	is	be	AUX
fis-3240	73	28	the	the	DET
fis-3240	73	29	latin	latin	ADJ
fis-3240	73	30	hypercube	hypercube	NOUN
fis-3240	73	31	sampling	sample	VERB
fis-3240	73	32	(	(	PUNCT
fis-3240	73	33	lhs	lhs	PROPN
fis-3240	73	34	)	)	PUNCT
fis-3240	73	35	method	method	NOUN
fis-3240	73	36	in	in	ADP
fis-3240	73	37	this	this	DET
fis-3240	73	38	paper	paper	NOUN
fis-3240	73	39	.	.	PUNCT
fis-3240	74	1	the	the	DET
fis-3240	74	2	cross	cross	ADJ
fis-3240	74	3	-	-	ADJ
fis-3240	74	4	sectional	sectional	ADJ
fis-3240	74	5	areas	area	NOUN
fis-3240	74	6	that	that	PRON
fis-3240	74	7	have	have	AUX
fis-3240	74	8	just	just	ADV
fis-3240	74	9	been	be	AUX
fis-3240	74	10	created	create	VERB
fis-3240	74	11	are	be	AUX
fis-3240	74	12	assigned	assign	VERB
fis-3240	74	13	to	to	ADP
fis-3240	74	14	truss	truss	ADJ
fis-3240	74	15	members	member	NOUN
fis-3240	74	16	and	and	CCONJ
fis-3240	74	17	the	the	DET
fis-3240	74	18	structure	structure	NOUN
fis-3240	74	19	is	be	AUX
fis-3240	74	20	then	then	ADV
fis-3240	74	21	analyzed	analyze	VERB
fis-3240	74	22	using	use	VERB
fis-3240	74	23	the	the	DET
fis-3240	74	24	finite	finite	ADJ
fis-3240	74	25	element	element	NOUN
fis-3240	74	26	method	method	NOUN
fis-3240	74	27	(	(	PUNCT
fis-3240	74	28	fem	fem	PROPN
fis-3240	74	29	)	)	PUNCT
fis-3240	74	30	.	.	PUNCT
fis-3240	75	1	based	base	VERB
fis-3240	75	2	on	on	ADP
fis-3240	75	3	the	the	DET
fis-3240	75	4	results	result	NOUN
fis-3240	75	5	obtained	obtain	VERB
fis-3240	75	6	from	from	ADP
fis-3240	75	7	the	the	DET
fis-3240	75	8	structural	structural	ADJ
fis-3240	75	9	analysis	analysis	NOUN
fis-3240	75	10	such	such	ADJ
fis-3240	75	11	as	as	ADP
fis-3240	75	12	stresses	stress	NOUN
fis-3240	75	13	inside	inside	ADP
fis-3240	75	14	members	member	NOUN
fis-3240	75	15	and	and	CCONJ
fis-3240	75	16	the	the	DET
fis-3240	75	17	deflection	deflection	NOUN
fis-3240	75	18	,	,	PUNCT
fis-3240	75	19	design	design	NOUN
fis-3240	75	20	constraints	constraint	NOUN
fis-3240	75	21	are	be	AUX
fis-3240	75	22	checked	check	VERB
fis-3240	75	23	.	.	PUNCT
fis-3240	76	1	if	if	SCONJ
fis-3240	76	2	all	all	DET
fis-3240	76	3	constraints	constraint	NOUN
fis-3240	76	4	are	be	AUX
fis-3240	76	5	satisfied	satisfied	ADJ
fis-3240	76	6	,	,	PUNCT
fis-3240	76	7	this	this	DET
fis-3240	76	8	structure	structure	NOUN
fis-3240	76	9	is	be	AUX
fis-3240	76	10	safe	safe	ADJ
fis-3240	76	11	.	.	PUNCT
fis-3240	77	1	otherwise	otherwise	ADV
fis-3240	77	2	,	,	PUNCT
fis-3240	77	3	if	if	SCONJ
fis-3240	77	4	any	any	DET
fis-3240	77	5	constraint	constraint	NOUN
fis-3240	77	6	is	be	AUX
fis-3240	77	7	violated	violate	VERB
fis-3240	77	8	,	,	PUNCT
fis-3240	77	9	this	this	DET
fis-3240	77	10	structure	structure	NOUN
fis-3240	77	11	is	be	AUX
fis-3240	77	12	considered	consider	VERB
fis-3240	77	13	unsafe	unsafe	ADJ
fis-3240	77	14	.	.	PUNCT
fis-3240	78	1	inputs	input	NOUN
fis-3240	78	2	and	and	CCONJ
fis-3240	78	3	outputs	output	NOUN
fis-3240	78	4	are	be	AUX
fis-3240	78	5	also	also	ADV
fis-3240	78	6	saved	save	VERB
fis-3240	78	7	into	into	ADP
fis-3240	78	8	the	the	DET
fis-3240	78	9	database	database	NOUN
fis-3240	78	10	.	.	PUNCT
fis-3240	79	1	once	once	ADV
fis-3240	79	2	sufficient	sufficient	ADJ
fis-3240	79	3	data	datum	NOUN
fis-3240	79	4	has	have	AUX
fis-3240	79	5	been	be	AUX
fis-3240	79	6	collected	collect	VERB
fis-3240	79	7	,	,	PUNCT
fis-3240	79	8	the	the	DET
fis-3240	79	9	training	training	NOUN
fis-3240	79	10	process	process	NOUN
fis-3240	79	11	begins	begin	VERB
fis-3240	79	12	.	.	PUNCT
fis-3240	80	1	if	if	SCONJ
fis-3240	80	2	the	the	DET
fis-3240	80	3	accuracy	accuracy	NOUN
fis-3240	80	4	of	of	ADP
fis-3240	80	5	the	the	DET
fis-3240	80	6	trained	train	VERB
fis-3240	80	7	model	model	NOUN
fis-3240	80	8	when	when	SCONJ
fis-3240	80	9	verifying	verify	VERB
fis-3240	80	10	on	on	ADP
fis-3240	80	11	the	the	DET
fis-3240	80	12	testing	testing	NOUN
fis-3240	80	13	dataset	dataset	NOUN
fis-3240	80	14	is	be	AUX
fis-3240	80	15	acceptable	acceptable	ADJ
fis-3240	80	16	,	,	PUNCT
fis-3240	80	17	this	this	DET
fis-3240	80	18	ml	ml	NOUN
fis-3240	80	19	model	model	NOUN
fis-3240	80	20	is	be	AUX
fis-3240	80	21	ready	ready	ADJ
fis-3240	80	22	to	to	PART
fis-3240	80	23	use	use	VERB
fis-3240	80	24	.	.	PUNCT
fis-3240	81	1	predictiontraining	predictiontraining	NOUN
fis-3240	81	2	&	&	CCONJ
fis-3240	81	3	testingdata	testingdata	NOUN
fis-3240	81	4	generation	generation	NOUN
fis-3240	81	5	generating	generate	VERB
fis-3240	81	6	n	n	CCONJ
fis-3240	81	7	inputs	input	NOUN
fis-3240	81	8	containing	contain	VERB
fis-3240	81	9	areas	area	NOUN
fis-3240	81	10	of	of	ADP
fis-3240	81	11	truss	truss	ADJ
fis-3240	81	12	members	member	NOUN
fis-3240	81	13	xi	xi	X
fis-3240	81	14	=	=	PUNCT
fis-3240	81	15	{	{	PUNCT
fis-3240	81	16	ai,1	ai,1	PROPN
fis-3240	81	17	,	,	PUNCT
fis-3240	81	18	ai,2	ai,2	PROPN
fis-3240	81	19	,	,	PUNCT
fis-3240	81	20	…	…	PUNCT
fis-3240	81	21	,	,	PUNCT
fis-3240	81	22	ai	ai	VERB
fis-3240	81	23	,	,	PUNCT
fis-3240	81	24	p	p	NOUN
fis-3240	81	25	}	}	PUNCT
fis-3240	81	26	,	,	PUNCT
fis-3240	81	27	i	i	PRON
fis-3240	81	28	=	=	NOUN
fis-3240	81	29	1	1	NUM
fis-3240	81	30	,	,	PUNCT
fis-3240	81	31	2	2	NUM
fis-3240	81	32	,	,	PUNCT
fis-3240	81	33	…	…	PUNCT
fis-3240	81	34	,	,	PUNCT
fis-3240	81	35	n	n	CCONJ
fis-3240	81	36	using	use	VERB
fis-3240	81	37	lhs	lhs	PROPN
fis-3240	81	38	structural	structural	ADJ
fis-3240	81	39	analysis	analysis	NOUN
fis-3240	81	40	using	use	VERB
fis-3240	81	41	fem	fem	NOUN
fis-3240	81	42	&	&	CCONJ
fis-3240	81	43	constraint	constraint	PROPN
fis-3240	81	44	verification	verification	NOUN
fis-3240	81	45	assigning	assign	VERB
fis-3240	81	46	output	output	NOUN
fis-3240	81	47	:	:	PUNCT
fis-3240	81	48	yi	yi	NOUN
fis-3240	81	49	=	=	PUNCT
fis-3240	81	50	1	1	NUM
fis-3240	81	51	if	if	SCONJ
fis-3240	81	52	“	"	PUNCT
fis-3240	81	53	safe	safe	ADJ
fis-3240	81	54	”	"	PUNCT
fis-3240	81	55	yi	yi	NOUN
fis-3240	81	56	=	=	PUNCT
fis-3240	82	1	-1	-1	PUNCT
fis-3240	82	2	otherwise	otherwise	ADV
fis-3240	82	3	i	i	NOUN
fis-3240	82	4	=	=	NOUN
fis-3240	82	5	1	1	NUM
fis-3240	82	6	,	,	PUNCT
fis-3240	82	7	2	2	NUM
fis-3240	82	8	,	,	PUNCT
fis-3240	82	9	…	…	PUNCT
fis-3240	82	10	,	,	PUNCT
fis-3240	82	11	n	n	PRON
fis-3240	82	12	dataset	dataset	NOUN
fis-3240	82	13	(	(	PUNCT
fis-3240	82	14	xi	xi	PROPN
fis-3240	82	15	,	,	PUNCT
fis-3240	82	16	yi	yi	PROPN
fis-3240	82	17	)	)	PUNCT
fis-3240	82	18	i	i	NOUN
fis-3240	83	1	=	=	NOUN
fis-3240	83	2	1	1	NUM
fis-3240	83	3	,	,	PUNCT
fis-3240	83	4	2	2	NUM
fis-3240	83	5	,	,	PUNCT
fis-3240	83	6	…	…	PUNCT
fis-3240	83	7	,	,	PUNCT
fis-3240	83	8	n	n	PRON
fis-3240	83	9	training	train	VERB
fis-3240	83	10	dataset	dataset	NOUN
fis-3240	83	11	testing	testing	NOUN
fis-3240	83	12	dataset	dataset	NOUN
fis-3240	83	13	training	training	NOUN
fis-3240	83	14	model	model	NOUN
fis-3240	83	15	testing	testing	NOUN
fis-3240	83	16	model	model	NOUN
fis-3240	83	17	the	the	DET
fis-3240	83	18	ml	ml	NOUN
fis-3240	83	19	classification	classification	NOUN
fis-3240	83	20	model	model	NOUN
fis-3240	83	21	new	new	ADJ
fis-3240	83	22	input	input	NOUN
fis-3240	83	23	xnew	xnew	PROPN
fis-3240	83	24	predicted	predict	VERB
fis-3240	83	25	output	output	NOUN
fis-3240	83	26	ynew	ynew	ADJ
fis-3240	83	27	“	"	PUNCT
fis-3240	83	28	safe	safe	ADJ
fis-3240	83	29	”	"	PUNCT
fis-3240	83	30	if	if	SCONJ
fis-3240	83	31	ynew	ynew	NOUN
fis-3240	83	32	=	=	NOUN
fis-3240	83	33	1	1	NUM
fis-3240	83	34	“	"	PUNCT
fis-3240	83	35	unsafe	unsafe	ADJ
fis-3240	83	36	”	"	PUNCT
fis-3240	83	37	if	if	SCONJ
fis-3240	83	38	ynew	ynew	ADJ
fis-3240	83	39	=	=	SYM
fis-3240	83	40	-1	-1	PUNCT
fis-3240	83	41	figure	figure	NOUN
fis-3240	83	42	1	1	NUM
fis-3240	83	43	:	:	PUNCT
fis-3240	83	44	overview	overview	NOUN
fis-3240	83	45	of	of	ADP
fis-3240	83	46	the	the	DET
fis-3240	83	47	ml	ml	ADV
fis-3240	83	48	-	-	PUNCT
fis-3240	83	49	based	base	VERB
fis-3240	83	50	framework	framework	NOUN
fis-3240	83	51	for	for	ADP
fis-3240	83	52	safety	safety	NOUN
fis-3240	83	53	classification	classification	NOUN
fis-3240	83	54	of	of	ADP
fis-3240	83	55	trusses	truss	NOUN
fis-3240	83	56	.	.	PUNCT
fis-3240	84	1	the	the	DET
fis-3240	84	2	above	above	ADJ
fis-3240	84	3	procedure	procedure	NOUN
fis-3240	84	4	can	can	AUX
fis-3240	84	5	be	be	AUX
fis-3240	84	6	applied	apply	VERB
fis-3240	84	7	to	to	ADP
fis-3240	84	8	all	all	DET
fis-3240	84	9	ml	ml	NOUN
fis-3240	84	10	algorithms	algorithm	NOUN
fis-3240	84	11	.	.	PUNCT
fis-3240	85	1	in	in	ADP
fis-3240	85	2	this	this	DET
fis-3240	85	3	study	study	NOUN
fis-3240	85	4	,	,	PUNCT
fis-3240	85	5	three	three	NUM
fis-3240	85	6	powerful	powerful	ADJ
fis-3240	85	7	classification	classification	NOUN
fis-3240	85	8	algorithms	algorithm	NOUN
fis-3240	85	9	are	be	AUX
fis-3240	85	10	taken	take	VERB
fis-3240	85	11	for	for	ADP
fis-3240	85	12	comparison	comparison	NOUN
fis-3240	85	13	including	include	VERB
fis-3240	85	14	svm	svm	PROPN
fis-3240	85	15	,	,	PUNCT
fis-3240	85	16	ann	ann	PROPN
fis-3240	85	17	,	,	PUNCT
fis-3240	85	18	and	and	CCONJ
fis-3240	85	19	adaboost	adaboost	ADV
fis-3240	85	20	.	.	PUNCT
fis-3240	86	1	the	the	DET
fis-3240	86	2	brief	brief	ADJ
fis-3240	86	3	introductions	introduction	NOUN
fis-3240	86	4	of	of	ADP
fis-3240	86	5	these	these	DET
fis-3240	86	6	algorithms	algorithm	NOUN
fis-3240	86	7	are	be	AUX
fis-3240	86	8	presented	present	VERB
fis-3240	86	9	in	in	ADP
fis-3240	86	10	the	the	DET
fis-3240	86	11	following	follow	VERB
fis-3240	86	12	sections	section	NOUN
fis-3240	86	13	.	.	PUNCT
fis-3240	87	1	support	support	NOUN
fis-3240	87	2	vector	vector	NOUN
fis-3240	87	3	machine	machine	NOUN
fis-3240	87	4	svm	svm	NOUN
fis-3240	87	5	was	be	AUX
fis-3240	87	6	initially	initially	ADV
fis-3240	87	7	developed	develop	VERB
fis-3240	87	8	to	to	PART
fis-3240	87	9	solve	solve	VERB
fis-3240	87	10	binary	binary	ADJ
fis-3240	87	11	classification	classification	NOUN
fis-3240	87	12	problems	problem	NOUN
fis-3240	87	13	.	.	PUNCT
fis-3240	88	1	for	for	ADP
fis-3240	88	2	separating	separate	VERB
fis-3240	88	3	data	datum	NOUN
fis-3240	88	4	,	,	PUNCT
fis-3240	88	5	the	the	DET
fis-3240	88	6	best	good	ADJ
fis-3240	88	7	hyperplane	hyperplane	NOUN
fis-3240	88	8	is	be	AUX
fis-3240	88	9	found	find	VERB
fis-3240	88	10	by	by	ADP
fis-3240	88	11	maximizing	maximize	VERB
fis-3240	88	12	the	the	DET
fis-3240	88	13	margin	margin	NOUN
fis-3240	88	14	between	between	ADP
fis-3240	88	15	it	it	PRON
fis-3240	88	16	and	and	CCONJ
fis-3240	88	17	the	the	DET
fis-3240	88	18	support	support	NOUN
fis-3240	88	19	vectors	vector	NOUN
fis-3240	88	20	as	as	SCONJ
fis-3240	88	21	shown	show	VERB
fis-3240	88	22	in	in	ADP
fis-3240	88	23	fig	fig	NOUN
fis-3240	88	24	.	.	PUNCT
fis-3240	89	1	2	2	X
fis-3240	89	2	.	.	X
fis-3240	89	3	other	other	ADJ
fis-3240	89	4	kernel	kernel	PROPN
fis-3240	89	5	functions	function	NOUN
fis-3240	89	6	such	such	ADJ
fis-3240	89	7	as	as	ADP
fis-3240	89	8	sigmoid	sigmoid	NOUN
fis-3240	89	9	kernel	kernel	NOUN
fis-3240	89	10	,	,	PUNCT
fis-3240	89	11	polynomial	polynomial	ADJ
fis-3240	89	12	kernel	kernel	NOUN
fis-3240	89	13	,	,	PUNCT
fis-3240	89	14	or	or	CCONJ
fis-3240	89	15	rbf	rbf	PROPN
fis-3240	89	16	kernel	kernel	PROPN
fis-3240	89	17	can	can	AUX
fis-3240	89	18	be	be	AUX
fis-3240	89	19	used	use	VERB
fis-3240	89	20	to	to	PART
fis-3240	89	21	separate	separate	VERB
fis-3240	89	22	nonlinear	nonlinear	ADJ
fis-3240	89	23	data	datum	NOUN
fis-3240	89	24	.	.	PUNCT
fis-3240	90	1	margin	margin	NOUN
fis-3240	90	2	support	support	NOUN
fis-3240	90	3	vectors	vector	NOUN
fis-3240	90	4	figure	figure	VERB
fis-3240	90	5	2	2	NUM
fis-3240	90	6	:	:	PUNCT
fis-3240	90	7	support	support	NOUN
fis-3240	90	8	vector	vector	NOUN
fis-3240	90	9	machine	machine	NOUN
fis-3240	90	10	.	.	PUNCT
fis-3240	91	1	t.-h	t.-h	NOUN
fis-3240	91	2	.	.	PUNCT
fis-3240	92	1	nguyen	nguyen	PROPN
fis-3240	92	2	et	et	PROPN
fis-3240	92	3	alii	alii	PROPN
fis-3240	92	4	,	,	PUNCT
fis-3240	92	5	frattura	frattura	PROPN
fis-3240	92	6	ed	ed	PROPN
fis-3240	92	7	integrità	integrità	PROPN
fis-3240	92	8	strutturale	strutturale	PROPN
fis-3240	92	9	,	,	PUNCT
fis-3240	92	10	58	58	NUM
fis-3240	92	11	(	(	PUNCT
fis-3240	92	12	2021	2021	NUM
fis-3240	92	13	)	)	PUNCT
fis-3240	92	14	308	308	NUM
fis-3240	92	15	-	-	SYM
fis-3240	92	16	318	318	NUM
fis-3240	92	17	;	;	PUNCT
fis-3240	92	18	doi	doi	NOUN
fis-3240	92	19	:	:	PUNCT
fis-3240	92	20	10.3221	10.3221	NUM
fis-3240	92	21	/	/	SYM
fis-3240	92	22	igf	igf	PROPN
fis-3240	92	23	-	-	PUNCT
fis-3240	92	24	esis.58.23	esis.58.23	PROPN
fis-3240	92	25	311	311	NUM
fis-3240	92	26	artificial	artificial	ADJ
fis-3240	92	27	neural	neural	ADJ
fis-3240	92	28	network	network	NOUN
fis-3240	92	29	the	the	DET
fis-3240	92	30	first	first	ADJ
fis-3240	92	31	ann	ann	PROPN
fis-3240	92	32	model	model	NOUN
fis-3240	92	33	that	that	PRON
fis-3240	92	34	was	be	AUX
fis-3240	92	35	introduced	introduce	VERB
fis-3240	92	36	in	in	ADP
fis-3240	92	37	1958	1958	NUM
fis-3240	92	38	by	by	ADP
fis-3240	92	39	rosenblatt	rosenblatt	PROPN
fis-3240	92	40	contains	contain	VERB
fis-3240	92	41	only	only	ADV
fis-3240	92	42	three	three	NUM
fis-3240	92	43	layers	layer	NOUN
fis-3240	92	44	:	:	PUNCT
fis-3240	92	45	an	an	DET
fis-3240	92	46	input	input	NOUN
fis-3240	92	47	layer	layer	NOUN
fis-3240	92	48	,	,	PUNCT
fis-3240	92	49	a	a	DET
fis-3240	92	50	hidden	hidden	ADJ
fis-3240	92	51	layer	layer	NOUN
fis-3240	92	52	,	,	PUNCT
fis-3240	92	53	and	and	CCONJ
fis-3240	92	54	an	an	DET
fis-3240	92	55	output	output	NOUN
fis-3240	92	56	layer	layer	NOUN
fis-3240	92	57	.	.	PUNCT
fis-3240	93	1	each	each	DET
fis-3240	93	2	layer	layer	NOUN
fis-3240	93	3	has	have	VERB
fis-3240	93	4	some	some	DET
fis-3240	93	5	neurons	neuron	NOUN
fis-3240	93	6	where	where	SCONJ
fis-3240	93	7	the	the	DET
fis-3240	93	8	activation	activation	NOUN
fis-3240	93	9	function	function	NOUN
fis-3240	93	10	is	be	AUX
fis-3240	93	11	attached	attach	VERB
fis-3240	93	12	to	to	PART
fis-3240	93	13	mimic	mimic	VERB
fis-3240	93	14	the	the	DET
fis-3240	93	15	nonlinear	nonlinear	ADJ
fis-3240	93	16	data	datum	NOUN
fis-3240	93	17	.	.	PUNCT
fis-3240	94	1	the	the	DET
fis-3240	94	2	state	state	NOUN
fis-3240	94	3	-	-	PUNCT
fis-3240	94	4	of	of	ADP
fis-3240	94	5	-	-	PUNCT
fis-3240	94	6	the	the	DET
fis-3240	94	7	-	-	PUNCT
fis-3240	94	8	art	art	NOUN
fis-3240	94	9	anns	anns	NOUN
fis-3240	94	10	have	have	VERB
fis-3240	94	11	more	more	ADJ
fis-3240	94	12	than	than	ADP
fis-3240	94	13	one	one	NUM
fis-3240	94	14	hidden	hide	VERB
fis-3240	94	15	layer	layer	NOUN
fis-3240	94	16	that	that	PRON
fis-3240	94	17	allows	allow	VERB
fis-3240	94	18	learning	learn	VERB
fis-3240	94	19	extremely	extremely	ADV
fis-3240	94	20	complex	complex	ADJ
fis-3240	94	21	data	datum	NOUN
fis-3240	94	22	.	.	PUNCT
fis-3240	95	1	fig	fig	NOUN
fis-3240	95	2	.	.	PUNCT
fis-3240	96	1	3	3	NUM
fis-3240	96	2	presents	present	VERB
fis-3240	96	3	a	a	DET
fis-3240	96	4	typical	typical	ADJ
fis-3240	96	5	architecture	architecture	NOUN
fis-3240	96	6	of	of	ADP
fis-3240	96	7	an	an	DET
fis-3240	96	8	ann	ann	PROPN
fis-3240	96	9	model	model	NOUN
fis-3240	96	10	with	with	ADP
fis-3240	96	11	multiple	multiple	ADJ
fis-3240	96	12	hidden	hide	VERB
fis-3240	96	13	layers	layer	NOUN
fis-3240	96	14	.	.	PUNCT
fis-3240	97	1	hidden	hide	VERB
fis-3240	97	2	layers	layer	NOUN
fis-3240	97	3	output	output	VERB
fis-3240	97	4	layerinput	layerinput	ADJ
fis-3240	97	5	layer	layer	NOUN
fis-3240	97	6	...	...	PUNCT
fis-3240	97	7	...	...	PUNCT
fis-3240	97	8	...	...	PUNCT
fis-3240	98	1	......	......	PUNCT
fis-3240	98	2	...	...	PUNCT
fis-3240	99	1	output	output	NOUN
fis-3240	99	2	1	1	NUM
fis-3240	99	3	output	output	NOUN
fis-3240	99	4	m	m	NOUN
fis-3240	99	5	input	input	NOUN
fis-3240	99	6	1	1	NUM
fis-3240	99	7	input	input	NOUN
fis-3240	99	8	2	2	NUM
fis-3240	99	9	input	input	NOUN
fis-3240	99	10	n	n	PRON
fis-3240	99	11	figure	figure	VERB
fis-3240	99	12	3	3	NUM
fis-3240	99	13	:	:	PUNCT
fis-3240	99	14	artificial	artificial	ADJ
fis-3240	99	15	neural	neural	ADJ
fis-3240	99	16	network	network	NOUN
fis-3240	99	17	.	.	PUNCT
fis-3240	100	1	adaptive	adaptive	ADJ
fis-3240	100	2	boosting	boost	VERB
fis-3240	100	3	the	the	DET
fis-3240	100	4	base	base	NOUN
fis-3240	100	5	classifier	classifier	NOUN
fis-3240	100	6	used	use	VERB
fis-3240	100	7	in	in	ADP
fis-3240	100	8	the	the	DET
fis-3240	100	9	adaboost	adaboost	ADJ
fis-3240	100	10	model	model	NOUN
fis-3240	100	11	is	be	AUX
fis-3240	100	12	often	often	ADV
fis-3240	100	13	a	a	DET
fis-3240	100	14	decision	decision	NOUN
fis-3240	100	15	tree	tree	NOUN
fis-3240	100	16	.	.	PUNCT
fis-3240	101	1	however	however	ADV
fis-3240	101	2	,	,	PUNCT
fis-3240	101	3	a	a	DET
fis-3240	101	4	deep	deep	ADJ
fis-3240	101	5	decision	decision	NOUN
fis-3240	101	6	tree	tree	NOUN
fis-3240	101	7	can	can	AUX
fis-3240	101	8	be	be	AUX
fis-3240	101	9	overfitted	overfitte	VERB
fis-3240	101	10	on	on	ADP
fis-3240	101	11	a	a	DET
fis-3240	101	12	specific	specific	ADJ
fis-3240	101	13	dataset	dataset	NOUN
fis-3240	101	14	.	.	PUNCT
fis-3240	102	1	to	to	PART
fis-3240	102	2	overcome	overcome	VERB
fis-3240	102	3	this	this	DET
fis-3240	102	4	problem	problem	NOUN
fis-3240	102	5	,	,	PUNCT
fis-3240	102	6	the	the	DET
fis-3240	102	7	adaboost	adaboost	ADJ
fis-3240	102	8	model	model	NOUN
fis-3240	102	9	uses	use	VERB
fis-3240	102	10	several	several	ADJ
fis-3240	102	11	shallow	shallow	ADJ
fis-3240	102	12	decision	decision	NOUN
fis-3240	102	13	trees	tree	NOUN
fis-3240	102	14	which	which	PRON
fis-3240	102	15	are	be	AUX
fis-3240	102	16	sequentially	sequentially	ADV
fis-3240	102	17	trained	train	VERB
fis-3240	102	18	by	by	ADP
fis-3240	102	19	the	the	DET
fis-3240	102	20	weighted	weight	VERB
fis-3240	102	21	data	datum	NOUN
fis-3240	102	22	.	.	PUNCT
fis-3240	103	1	each	each	DET
fis-3240	103	2	decision	decision	NOUN
fis-3240	103	3	tree	tree	NOUN
fis-3240	103	4	is	be	AUX
fis-3240	103	5	assigned	assign	VERB
fis-3240	103	6	a	a	DET
fis-3240	103	7	weight	weight	NOUN
fis-3240	103	8	based	base	VERB
fis-3240	103	9	on	on	ADP
fis-3240	103	10	its	its	PRON
fis-3240	103	11	accuracy	accuracy	NOUN
fis-3240	103	12	.	.	PUNCT
fis-3240	104	1	the	the	DET
fis-3240	104	2	final	final	ADJ
fis-3240	104	3	prediction	prediction	NOUN
fis-3240	104	4	is	be	AUX
fis-3240	104	5	determined	determine	VERB
fis-3240	104	6	by	by	ADP
fis-3240	104	7	using	use	VERB
fis-3240	104	8	the	the	DET
fis-3240	104	9	weighted	weight	VERB
fis-3240	104	10	majority	majority	NOUN
fis-3240	104	11	voting	voting	NOUN
fis-3240	104	12	method	method	NOUN
fis-3240	104	13	.	.	PUNCT
fis-3240	105	1	the	the	DET
fis-3240	105	2	adaboost	adaboost	ADJ
fis-3240	105	3	algorithm	algorithm	NOUN
fis-3240	105	4	is	be	AUX
fis-3240	105	5	illustrated	illustrate	VERB
fis-3240	105	6	in	in	ADP
fis-3240	105	7	fig	fig	NOUN
fis-3240	105	8	.	.	PUNCT
fis-3240	106	1	4	4	NUM
fis-3240	106	2	.	.	X
fis-3240	106	3	  	  	SPACE
fis-3240	106	4	original	original	ADJ
fis-3240	106	5	dataset	dataset	NOUN
fis-3240	106	6	d1	d1	NOUN
fis-3240	106	7	weak	weak	ADJ
fis-3240	106	8	classifier	classifier	NOUN
fis-3240	106	9	1	1	NUM
fis-3240	106	10	weight	weight	NOUN
fis-3240	106	11	1	1	NUM
fis-3240	106	12	weighted	weight	VERB
fis-3240	106	13	dataset	dataset	ADJ
fis-3240	106	14	d2	d2	PROPN
fis-3240	106	15	weak	weak	ADJ
fis-3240	106	16	classifier	classifier	NOUN
fis-3240	106	17	2	2	NUM
fis-3240	106	18	weight	weight	NOUN
fis-3240	106	19	2	2	NUM
fis-3240	106	20	weighted	weight	VERB
fis-3240	106	21	dataset	dataset	NOUN
fis-3240	106	22	d3	d3	PROPN
fis-3240	106	23	weak	weak	ADJ
fis-3240	106	24	classifier	classifier	NOUN
fis-3240	106	25	3	3	NUM
fis-3240	106	26	weight	weight	NOUN
fis-3240	106	27	3	3	NUM
fis-3240	106	28	weighted	weight	VERB
fis-3240	106	29	dataset	dataset	VERB
fis-3240	106	30	dn	dn	ADP
fis-3240	106	31	weak	weak	ADJ
fis-3240	106	32	classifier	classifier	NOUN
fis-3240	106	33	n	n	PRON
fis-3240	106	34	weight	weight	NOUN
fis-3240	106	35	n	n	CCONJ
fis-3240	106	36	strong	strong	ADJ
fis-3240	106	37	classifier	classifier	NOUN
fis-3240	106	38	figure	figure	NOUN
fis-3240	106	39	4	4	NUM
fis-3240	106	40	:	:	PUNCT
fis-3240	106	41	adaptive	adaptive	ADJ
fis-3240	106	42	boosting	boosting	NOUN
fis-3240	106	43	.	.	PUNCT
fis-3240	107	1	datasets	dataset	NOUN
fis-3240	107	2	hree	hree	VERB
fis-3240	107	3	well	well	ADV
fis-3240	107	4	-	-	PUNCT
fis-3240	107	5	known	know	VERB
fis-3240	107	6	truss	truss	NOUN
fis-3240	107	7	structures	structure	NOUN
fis-3240	107	8	are	be	AUX
fis-3240	107	9	used	use	VERB
fis-3240	107	10	in	in	ADP
fis-3240	107	11	this	this	DET
fis-3240	107	12	study	study	NOUN
fis-3240	107	13	.	.	PUNCT
fis-3240	108	1	all	all	DET
fis-3240	108	2	these	these	DET
fis-3240	108	3	problems	problem	NOUN
fis-3240	108	4	were	be	AUX
fis-3240	108	5	initially	initially	ADV
fis-3240	108	6	expressed	express	VERB
fis-3240	108	7	using	use	VERB
fis-3240	108	8	the	the	DET
fis-3240	108	9	imperial	imperial	ADJ
fis-3240	108	10	system	system	NOUN
fis-3240	108	11	.	.	PUNCT
fis-3240	109	1	in	in	ADP
fis-3240	109	2	this	this	DET
fis-3240	109	3	study	study	NOUN
fis-3240	109	4	,	,	PUNCT
fis-3240	109	5	the	the	DET
fis-3240	109	6	imperial	imperial	ADJ
fis-3240	109	7	units	unit	NOUN
fis-3240	109	8	are	be	AUX
fis-3240	109	9	kept	keep	VERB
fis-3240	109	10	without	without	ADP
fis-3240	109	11	affecting	affect	VERB
fis-3240	109	12	the	the	DET
fis-3240	109	13	final	final	ADJ
fis-3240	109	14	results	result	NOUN
fis-3240	109	15	.	.	PUNCT
fis-3240	110	1	the	the	DET
fis-3240	110	2	first	first	ADJ
fis-3240	110	3	structure	structure	NOUN
fis-3240	110	4	is	be	AUX
fis-3240	110	5	a	a	DET
fis-3240	110	6	planar	planar	ADJ
fis-3240	110	7	10	10	NUM
fis-3240	110	8	-	-	PUNCT
fis-3240	110	9	bar	bar	NOUN
fis-3240	110	10	truss	truss	NOUN
fis-3240	110	11	which	which	PRON
fis-3240	110	12	is	be	AUX
fis-3240	110	13	displayed	display	VERB
fis-3240	110	14	in	in	ADP
fis-3240	110	15	fig	fig	NOUN
fis-3240	110	16	.	.	PUNCT
fis-3240	111	1	5	5	X
fis-3240	111	2	.	.	X
fis-3240	111	3	all	all	DET
fis-3240	111	4	members	member	NOUN
fis-3240	111	5	are	be	AUX
fis-3240	111	6	made	make	VERB
fis-3240	111	7	of	of	ADP
fis-3240	111	8	the	the	DET
fis-3240	111	9	same	same	ADJ
fis-3240	111	10	material	material	NOUN
fis-3240	111	11	having	have	VERB
fis-3240	111	12	the	the	DET
fis-3240	111	13	modulus	modulus	NOUN
fis-3240	111	14	of	of	ADP
fis-3240	111	15	elasticity	elasticity	NOUN
fis-3240	112	1	e=10,000	e=10,000	X
fis-3240	112	2	ksi	ksi	NOUN
fis-3240	112	3	and	and	CCONJ
fis-3240	112	4	the	the	DET
fis-3240	112	5	density	density	NOUN
fis-3240	112	6	=0.1	=0.1	PROPN
fis-3240	112	7	lb	lb	PROPN
fis-3240	112	8	/	/	SYM
fis-3240	112	9	in3	in3	PROPN
fis-3240	112	10	.	.	PUNCT
fis-3240	113	1	the	the	DET
fis-3240	113	2	cross	cross	ADJ
fis-3240	113	3	-	-	ADJ
fis-3240	113	4	sectional	sectional	ADJ
fis-3240	113	5	areas	area	NOUN
fis-3240	113	6	of	of	ADP
fis-3240	113	7	truss	truss	ADJ
fis-3240	113	8	members	member	NOUN
fis-3240	113	9	range	range	VERB
fis-3240	113	10	from	from	ADP
fis-3240	113	11	6	6	NUM
fis-3240	113	12	to	to	PART
fis-3240	113	13	35	35	NUM
fis-3240	113	14	in2	in2	NOUN
fis-3240	113	15	.	.	PUNCT
fis-3240	114	1	the	the	DET
fis-3240	114	2	allowable	allowable	ADJ
fis-3240	114	3	stress	stress	NOUN
fis-3240	114	4	inside	inside	ADP
fis-3240	114	5	all	all	DET
fis-3240	114	6	members	member	NOUN
fis-3240	114	7	is	be	AUX
fis-3240	114	8	25	25	PROPN
fis-3240	114	9	ksi	ksi	NOUN
fis-3240	114	10	,	,	PUNCT
fis-3240	114	11	and	and	CCONJ
fis-3240	114	12	the	the	DET
fis-3240	114	13	allowable	allowable	ADJ
fis-3240	114	14	displacement	displacement	NOUN
fis-3240	114	15	for	for	ADP
fis-3240	114	16	all	all	DET
fis-3240	114	17	nodes	node	NOUN
fis-3240	114	18	is	be	AUX
fis-3240	114	19	2	2	NOUN
fis-3240	114	20	in	in	ADP
fis-3240	114	21	.	.	PUNCT
fis-3240	115	1	the	the	DET
fis-3240	115	2	second	second	ADJ
fis-3240	115	3	structure	structure	NOUN
fis-3240	115	4	is	be	AUX
fis-3240	115	5	a	a	DET
fis-3240	115	6	spatial	spatial	ADJ
fis-3240	115	7	25	25	NUM
fis-3240	115	8	-	-	PUNCT
fis-3240	115	9	bar	bar	NOUN
fis-3240	115	10	truss	truss	NOUN
fis-3240	115	11	as	as	SCONJ
fis-3240	115	12	presented	present	VERB
fis-3240	115	13	in	in	ADP
fis-3240	115	14	fig	fig	NOUN
fis-3240	115	15	.	.	PUNCT
fis-3240	116	1	6	6	NUM
fis-3240	116	2	.	.	X
fis-3240	116	3	this	this	DET
fis-3240	116	4	structure	structure	NOUN
fis-3240	116	5	is	be	AUX
fis-3240	116	6	fabricated	fabricate	VERB
fis-3240	116	7	from	from	ADP
fis-3240	116	8	the	the	DET
fis-3240	116	9	same	same	ADJ
fis-3240	116	10	material	material	NOUN
fis-3240	116	11	as	as	ADP
fis-3240	116	12	the	the	DET
fis-3240	116	13	10	10	NUM
fis-3240	116	14	-	-	PUNCT
fis-3240	116	15	bar	bar	NOUN
fis-3240	116	16	truss	truss	NOUN
fis-3240	116	17	.	.	PUNCT
fis-3240	117	1	there	there	PRON
fis-3240	117	2	are	be	VERB
fis-3240	117	3	eight	eight	NUM
fis-3240	117	4	groups	group	NOUN
fis-3240	117	5	of	of	ADP
fis-3240	117	6	members	member	NOUN
fis-3240	117	7	with	with	ADP
fis-3240	117	8	corresponding	correspond	VERB
fis-3240	117	9	stress	stress	NOUN
fis-3240	117	10	limits	limit	NOUN
fis-3240	117	11	shown	show	VERB
fis-3240	117	12	in	in	ADP
fis-3240	117	13	tab	tab	NOUN
fis-3240	117	14	.	.	PUNCT
fis-3240	118	1	1	1	X
fis-3240	118	2	.	.	X
fis-3240	118	3	members	member	NOUN
fis-3240	118	4	in	in	ADP
fis-3240	118	5	the	the	DET
fis-3240	118	6	same	same	ADJ
fis-3240	118	7	t	t	NOUN
fis-3240	118	8	t.-h	t.-h	NOUN
fis-3240	118	9	.	.	PUNCT
fis-3240	119	1	nguyen	nguyen	PROPN
fis-3240	119	2	et	et	PROPN
fis-3240	119	3	alii	alii	PROPN
fis-3240	119	4	,	,	PUNCT
fis-3240	119	5	frattura	frattura	PROPN
fis-3240	119	6	ed	ed	PROPN
fis-3240	119	7	integrità	integrità	PROPN
fis-3240	119	8	strutturale	strutturale	PROPN
fis-3240	119	9	,	,	PUNCT
fis-3240	119	10	58	58	NUM
fis-3240	119	11	(	(	PUNCT
fis-3240	119	12	2021	2021	NUM
fis-3240	119	13	)	)	PUNCT
fis-3240	119	14	308	308	NUM
fis-3240	119	15	-	-	SYM
fis-3240	119	16	318	318	NUM
fis-3240	119	17	;	;	PUNCT
fis-3240	119	18	doi	doi	NOUN
fis-3240	119	19	:	:	PUNCT
fis-3240	119	20	10.3221	10.3221	NUM
fis-3240	119	21	/	/	SYM
fis-3240	119	22	igf	igf	PROPN
fis-3240	119	23	-	-	PUNCT
fis-3240	119	24	esis.58.23	esis.58.23	PROPN
fis-3240	119	25	312	312	NUM
fis-3240	119	26	group	group	NOUN
fis-3240	119	27	have	have	VERB
fis-3240	119	28	the	the	DET
fis-3240	119	29	same	same	ADJ
fis-3240	119	30	cross	cross	ADJ
fis-3240	119	31	-	-	ADJ
fis-3240	119	32	sectional	sectional	ADJ
fis-3240	119	33	area	area	NOUN
fis-3240	119	34	varying	vary	VERB
fis-3240	119	35	from	from	ADP
fis-3240	119	36	0.6	0.6	NUM
fis-3240	119	37	to	to	ADP
fis-3240	119	38	3.5	3.5	NUM
fis-3240	119	39	in2	in2	NOUN
fis-3240	119	40	.	.	PUNCT
fis-3240	120	1	the	the	DET
fis-3240	120	2	limitation	limitation	NOUN
fis-3240	120	3	of	of	ADP
fis-3240	120	4	displacements	displacement	NOUN
fis-3240	120	5	along	along	ADP
fis-3240	120	6	horizontal	horizontal	ADJ
fis-3240	120	7	directions	direction	NOUN
fis-3240	120	8	is	be	AUX
fis-3240	120	9	0.35	0.35	PROPN
fis-3240	120	10	in	in	ADP
fis-3240	120	11	.	.	PUNCT
fis-3240	121	1	this	this	DET
fis-3240	121	2	structure	structure	NOUN
fis-3240	121	3	subjects	subject	NOUN
fis-3240	121	4	to	to	ADP
fis-3240	121	5	two	two	NUM
fis-3240	121	6	load	load	NOUN
fis-3240	121	7	cases	case	NOUN
fis-3240	121	8	independently	independently	ADV
fis-3240	121	9	.	.	PUNCT
fis-3240	122	1	the	the	DET
fis-3240	122	2	first	first	ADJ
fis-3240	122	3	load	load	NOUN
fis-3240	122	4	case	case	NOUN
fis-3240	122	5	contains	contain	VERB
fis-3240	122	6	two	two	NUM
fis-3240	122	7	point	point	NOUN
fis-3240	122	8	loads	load	NOUN
fis-3240	122	9	p1	p1	NOUN
fis-3240	122	10	=	=	SYM
fis-3240	122	11	(	(	PUNCT
fis-3240	122	12	0	0	NUM
fis-3240	122	13	,	,	PUNCT
fis-3240	122	14	20	20	NUM
fis-3240	122	15	,	,	PUNCT
fis-3240	122	16	-5	-5	ADJ
fis-3240	122	17	)	)	PUNCT
fis-3240	122	18	and	and	CCONJ
fis-3240	122	19	p2	p2	PROPN
fis-3240	122	20	=	=	SYM
fis-3240	122	21	(	(	PUNCT
fis-3240	122	22	0	0	NUM
fis-3240	122	23	,	,	PUNCT
fis-3240	122	24	-20	-20	NUM
fis-3240	122	25	,	,	PUNCT
fis-3240	122	26	-5	-5	ADJ
fis-3240	122	27	)	)	PUNCT
fis-3240	122	28	acting	act	VERB
fis-3240	122	29	on	on	ADP
fis-3240	122	30	the	the	DET
fis-3240	122	31	node	node	NOUN
fis-3240	122	32	(	(	PUNCT
fis-3240	122	33	1	1	NUM
fis-3240	122	34	)	)	PUNCT
fis-3240	122	35	and	and	CCONJ
fis-3240	122	36	the	the	DET
fis-3240	122	37	node	node	NOUN
fis-3240	122	38	(	(	PUNCT
fis-3240	122	39	2	2	NUM
fis-3240	122	40	)	)	PUNCT
fis-3240	122	41	,	,	PUNCT
fis-3240	122	42	respectively	respectively	ADV
fis-3240	122	43	.	.	PUNCT
fis-3240	123	1	the	the	DET
fis-3240	123	2	second	second	ADJ
fis-3240	123	3	load	load	NOUN
fis-3240	123	4	case	case	NOUN
fis-3240	123	5	consists	consist	VERB
fis-3240	123	6	of	of	ADP
fis-3240	123	7	four	four	NUM
fis-3240	123	8	point	point	NOUN
fis-3240	123	9	loads	load	NOUN
fis-3240	123	10	p1	p1	NOUN
fis-3240	123	11	=	=	SYM
fis-3240	123	12	(	(	PUNCT
fis-3240	123	13	1	1	NUM
fis-3240	123	14	,	,	PUNCT
fis-3240	123	15	10	10	NUM
fis-3240	123	16	,	,	PUNCT
fis-3240	123	17	-5	-5	ADJ
fis-3240	123	18	)	)	PUNCT
fis-3240	123	19	,	,	PUNCT
fis-3240	123	20	p2	p2	PROPN
fis-3240	123	21	=	=	SYM
fis-3240	123	22	(	(	PUNCT
fis-3240	123	23	0	0	NUM
fis-3240	123	24	,	,	PUNCT
fis-3240	123	25	10	10	NUM
fis-3240	123	26	,	,	PUNCT
fis-3240	123	27	-5	-5	ADJ
fis-3240	123	28	)	)	PUNCT
fis-3240	123	29	,	,	PUNCT
fis-3240	123	30	p3	p3	PROPN
fis-3240	123	31	=	=	SYM
fis-3240	123	32	(	(	PUNCT
fis-3240	123	33	0.5	0.5	NUM
fis-3240	123	34	,	,	PUNCT
fis-3240	123	35	0	0	NUM
fis-3240	123	36	,	,	PUNCT
fis-3240	123	37	0	0	NUM
fis-3240	123	38	)	)	PUNCT
fis-3240	123	39	,	,	PUNCT
fis-3240	123	40	and	and	CCONJ
fis-3240	123	41	p6	p6	PROPN
fis-3240	123	42	=	=	SYM
fis-3240	123	43	(	(	PUNCT
fis-3240	123	44	0.6	0.6	NUM
fis-3240	123	45	,	,	PUNCT
fis-3240	123	46	0	0	NUM
fis-3240	123	47	,	,	PUNCT
fis-3240	123	48	0	0	NUM
fis-3240	123	49	)	)	PUNCT
fis-3240	123	50	acting	act	VERB
fis-3240	123	51	on	on	ADP
fis-3240	123	52	the	the	DET
fis-3240	123	53	node	node	NOUN
fis-3240	123	54	(	(	PUNCT
fis-3240	123	55	1	1	NUM
fis-3240	123	56	)	)	PUNCT
fis-3240	123	57	,	,	PUNCT
fis-3240	123	58	(	(	PUNCT
fis-3240	123	59	2	2	NUM
fis-3240	123	60	)	)	PUNCT
fis-3240	123	61	,	,	PUNCT
fis-3240	123	62	(	(	PUNCT
fis-3240	123	63	3	3	NUM
fis-3240	123	64	)	)	PUNCT
fis-3240	123	65	,	,	PUNCT
fis-3240	123	66	and	and	CCONJ
fis-3240	123	67	(	(	PUNCT
fis-3240	123	68	6	6	NUM
fis-3240	123	69	)	)	PUNCT
fis-3240	123	70	,	,	PUNCT
fis-3240	123	71	respectively	respectively	ADV
fis-3240	123	72	.	.	PUNCT
fis-3240	124	1	p=100	p=100	PROPN
fis-3240	124	2	kips	kip	NOUN
fis-3240	124	3	p=100	p=100	PROPN
fis-3240	124	4	kips	kip	NOUN
fis-3240	124	5	(	(	PUNCT
fis-3240	124	6	1)(3)(5	1)(3)(5	NUM
fis-3240	124	7	)	)	PUNCT
fis-3240	124	8	(	(	PUNCT
fis-3240	124	9	2)(4)(6	2)(4)(6	NUM
fis-3240	124	10	)	)	PUNCT
fis-3240	124	11	1	1	NUM
fis-3240	124	12	2	2	NUM
fis-3240	124	13	3	3	NUM
fis-3240	124	14	4	4	NUM
fis-3240	124	15	5	5	NUM
fis-3240	124	16	6	6	NUM
fis-3240	124	17	7	7	NUM
fis-3240	124	18	9	9	NUM
fis-3240	124	19	8	8	NUM
fis-3240	124	20	10	10	NUM
fis-3240	124	21	360	360	NUM
fis-3240	124	22	in	in	ADP
fis-3240	124	23	360	360	NUM
fis-3240	124	24	in	in	ADP
fis-3240	124	25	360	360	NUM
fis-3240	124	26	in	in	ADP
fis-3240	124	27	y	y	PROPN
fis-3240	124	28	x	x	PUNCT
fis-3240	124	29	figure	figure	VERB
fis-3240	124	30	5	5	NUM
fis-3240	124	31	:	:	SYM
fis-3240	124	32	10	10	NUM
fis-3240	124	33	-	-	PUNCT
fis-3240	124	34	bar	bar	NOUN
fis-3240	124	35	truss	truss	NOUN
fis-3240	124	36	structure	structure	NOUN
fis-3240	124	37	.	.	PUNCT
fis-3240	125	1	(	(	PUNCT
fis-3240	125	2	1	1	X
fis-3240	125	3	)	)	PUNCT
fis-3240	125	4	(	(	PUNCT
fis-3240	125	5	2	2	NUM
fis-3240	125	6	)	)	PUNCT
fis-3240	125	7	(	(	PUNCT
fis-3240	125	8	3	3	X
fis-3240	125	9	)	)	PUNCT
fis-3240	125	10	(	(	PUNCT
fis-3240	125	11	10	10	NUM
fis-3240	125	12	)	)	PUNCT
fis-3240	125	13	(	(	PUNCT
fis-3240	125	14	8)	8)	NUM
fis-3240	125	15	(	(	PUNCT
fis-3240	125	16	7	7	NUM
fis-3240	125	17	)	)	SYM
fis-3240	125	18	3	3	NUM
fis-3240	125	19	2	2	NUM
fis-3240	125	20	4	4	NUM
fis-3240	125	21	5	5	NUM
fis-3240	125	22	8	8	NUM
fis-3240	125	23	9	9	NUM
fis-3240	125	24	67	67	NUM
fis-3240	125	25	13	13	NUM
fis-3240	125	26	14	14	NUM
fis-3240	125	27	10	10	NUM
fis-3240	125	28	12	12	NUM
fis-3240	125	29	(	(	PUNCT
fis-3240	125	30	9	9	NUM
fis-3240	125	31	)	)	PUNCT
fis-3240	125	32	11	11	NUM
fis-3240	125	33	17	17	NUM
fis-3240	125	34	18	18	NUM
fis-3240	125	35	15	15	NUM
fis-3240	125	36	1920	1920	NUM
fis-3240	125	37	21	21	NUM
fis-3240	125	38	16	16	NUM
fis-3240	125	39	22	22	NUM
fis-3240	125	40	23	23	NUM
fis-3240	125	41	24	24	NUM
fis-3240	125	42	25	25	NUM
fis-3240	125	43	100	100	NUM
fis-3240	125	44	in	in	ADP
fis-3240	125	45	100	100	NUM
fis-3240	125	46	in	in	ADP
fis-3240	125	47	z	z	PROPN
fis-3240	125	48	x	x	SYM
fis-3240	125	49	y	y	PROPN
fis-3240	125	50	(	(	PUNCT
fis-3240	125	51	4	4	NUM
fis-3240	125	52	)	)	PUNCT
fis-3240	125	53	(	(	PUNCT
fis-3240	125	54	5	5	NUM
fis-3240	125	55	)	)	PUNCT
fis-3240	125	56	(	(	PUNCT
fis-3240	125	57	6	6	NUM
fis-3240	125	58	)	)	SYM
fis-3240	125	59	1	1	NUM
fis-3240	125	60	figure	figure	NOUN
fis-3240	125	61	6	6	NUM
fis-3240	125	62	:	:	PUNCT
fis-3240	125	63	25	25	NUM
fis-3240	125	64	-	-	PUNCT
fis-3240	125	65	bar	bar	NOUN
fis-3240	125	66	truss	truss	NOUN
fis-3240	125	67	structure	structure	NOUN
fis-3240	125	68	.	.	PUNCT
fis-3240	126	1	the	the	DET
fis-3240	126	2	final	final	ADJ
fis-3240	126	3	structure	structure	NOUN
fis-3240	126	4	is	be	AUX
fis-3240	126	5	a	a	DET
fis-3240	126	6	planar	planar	ADJ
fis-3240	126	7	truss	truss	NOUN
fis-3240	126	8	as	as	SCONJ
fis-3240	126	9	schematized	schematize	VERB
fis-3240	126	10	in	in	ADP
fis-3240	126	11	fig	fig	NOUN
fis-3240	126	12	.	.	PUNCT
fis-3240	127	1	7	7	X
fis-3240	127	2	.	.	X
fis-3240	127	3	this	this	DET
fis-3240	127	4	structure	structure	NOUN
fis-3240	127	5	contains	contain	VERB
fis-3240	127	6	47	47	NUM
fis-3240	127	7	members	member	NOUN
fis-3240	127	8	which	which	PRON
fis-3240	127	9	are	be	AUX
fis-3240	127	10	divided	divide	VERB
fis-3240	127	11	into	into	ADP
fis-3240	127	12	27	27	NUM
fis-3240	127	13	groups	group	NOUN
fis-3240	127	14	as	as	SCONJ
fis-3240	127	15	shown	show	VERB
fis-3240	127	16	in	in	ADP
fis-3240	127	17	tab	tab	NOUN
fis-3240	127	18	.	.	PUNCT
fis-3240	128	1	2	2	X
fis-3240	128	2	.	.	X
fis-3240	128	3	all	all	DET
fis-3240	128	4	members	member	NOUN
fis-3240	128	5	in	in	ADP
fis-3240	128	6	a	a	DET
fis-3240	128	7	group	group	NOUN
fis-3240	128	8	are	be	AUX
fis-3240	128	9	assigned	assign	VERB
fis-3240	128	10	a	a	DET
fis-3240	128	11	cross	cross	ADJ
fis-3240	128	12	-	-	ADJ
fis-3240	128	13	sectional	sectional	ADJ
fis-3240	128	14	area	area	NOUN
fis-3240	128	15	range	range	VERB
fis-3240	128	16	from	from	ADP
fis-3240	128	17	0.1	0.1	NUM
fis-3240	128	18	to	to	PART
fis-3240	128	19	35	35	NUM
fis-3240	128	20	in2	in2	NOUN
fis-3240	128	21	.	.	PUNCT
fis-3240	129	1	the	the	DET
fis-3240	129	2	modulus	modulus	NOUN
fis-3240	129	3	of	of	ADP
fis-3240	129	4	elasticity	elasticity	NOUN
fis-3240	129	5	of	of	ADP
fis-3240	129	6	the	the	DET
fis-3240	129	7	material	material	NOUN
fis-3240	129	8	used	use	VERB
fis-3240	129	9	in	in	ADP
fis-3240	129	10	this	this	DET
fis-3240	129	11	structure	structure	NOUN
fis-3240	129	12	e=30,000	e=30,000	X
fis-3240	129	13	ksi	ksi	PROPN
fis-3240	129	14	and	and	CCONJ
fis-3240	129	15	the	the	DET
fis-3240	129	16	material	material	NOUN
fis-3240	129	17	density	density	NOUN
fis-3240	129	18	=0.3	=0.3	PUNCT
fis-3240	129	19	lb	lb	PROPN
fis-3240	129	20	/	/	SYM
fis-3240	129	21	in3	in3	PROPN
fis-3240	129	22	.	.	PUNCT
fis-3240	130	1	this	this	DET
fis-3240	130	2	tower	tower	NOUN
fis-3240	130	3	is	be	AUX
fis-3240	130	4	subjected	subject	VERB
fis-3240	130	5	to	to	ADP
fis-3240	130	6	one	one	NUM
fis-3240	130	7	of	of	ADP
fis-3240	130	8	three	three	NUM
fis-3240	130	9	independent	independent	ADJ
fis-3240	130	10	load	load	NOUN
fis-3240	130	11	cases	case	NOUN
fis-3240	130	12	.	.	PUNCT
fis-3240	131	1	the	the	DET
fis-3240	131	2	first	first	ADJ
fis-3240	131	3	load	load	NOUN
fis-3240	131	4	case	case	NOUN
fis-3240	131	5	(	(	PUNCT
fis-3240	131	6	lc1	lc1	PROPN
fis-3240	131	7	)	)	PUNCT
fis-3240	131	8	consists	consist	VERB
fis-3240	131	9	of	of	ADP
fis-3240	131	10	two	two	NUM
fis-3240	131	11	loads	load	NOUN
fis-3240	131	12	of	of	ADP
fis-3240	131	13	14	14	NUM
fis-3240	131	14	kips	kip	NOUN
fis-3240	131	15	and	and	CCONJ
fis-3240	131	16	6	6	NUM
fis-3240	131	17	kips	kip	NOUN
fis-3240	131	18	applying	apply	VERB
fis-3240	131	19	to	to	ADP
fis-3240	131	20	the	the	DET
fis-3240	131	21	node	node	NOUN
fis-3240	131	22	(	(	PUNCT
fis-3240	131	23	17	17	NUM
fis-3240	131	24	)	)	PUNCT
fis-3240	131	25	.	.	PUNCT
fis-3240	132	1	the	the	DET
fis-3240	132	2	second	second	ADJ
fis-3240	132	3	load	load	NOUN
fis-3240	132	4	case	case	NOUN
fis-3240	132	5	(	(	PUNCT
fis-3240	132	6	lc2	lc2	NOUN
fis-3240	132	7	)	)	PUNCT
fis-3240	132	8	has	have	VERB
fis-3240	132	9	two	two	NUM
fis-3240	132	10	loads	load	NOUN
fis-3240	132	11	of	of	ADP
fis-3240	132	12	14	14	NUM
fis-3240	132	13	kips	kip	NOUN
fis-3240	132	14	and	and	CCONJ
fis-3240	132	15	6	6	NUM
fis-3240	132	16	kips	kip	NOUN
fis-3240	132	17	acting	act	VERB
fis-3240	132	18	on	on	ADP
fis-3240	132	19	the	the	DET
fis-3240	132	20	node	node	NOUN
fis-3240	132	21	(	(	PUNCT
fis-3240	132	22	22	22	NUM
fis-3240	132	23	)	)	PUNCT
fis-3240	132	24	.	.	PUNCT
fis-3240	133	1	the	the	DET
fis-3240	133	2	third	third	ADJ
fis-3240	133	3	load	load	NOUN
fis-3240	133	4	case	case	NOUN
fis-3240	133	5	(	(	PUNCT
fis-3240	133	6	lc3	lc3	NOUN
fis-3240	133	7	)	)	PUNCT
fis-3240	133	8	is	be	AUX
fis-3240	133	9	the	the	DET
fis-3240	133	10	sum	sum	NOUN
fis-3240	133	11	of	of	ADP
fis-3240	133	12	the	the	DET
fis-3240	133	13	two	two	NUM
fis-3240	133	14	above	above	ADP
fis-3240	133	15	load	load	NOUN
fis-3240	133	16	cases	case	NOUN
fis-3240	133	17	(	(	PUNCT
fis-3240	133	18	lc1	lc1	PROPN
fis-3240	133	19	)	)	PUNCT
fis-3240	133	20	and	and	CCONJ
fis-3240	133	21	(	(	PUNCT
fis-3240	133	22	lc2	lc2	NOUN
fis-3240	133	23	)	)	PUNCT
fis-3240	133	24	.	.	PUNCT
fis-3240	134	1	t.-h	t.-h	NOUN
fis-3240	134	2	.	.	PUNCT
fis-3240	135	1	nguyen	nguyen	PROPN
fis-3240	135	2	et	et	PROPN
fis-3240	135	3	alii	alii	PROPN
fis-3240	135	4	,	,	PUNCT
fis-3240	135	5	frattura	frattura	PROPN
fis-3240	135	6	ed	ed	PROPN
fis-3240	135	7	integrità	integrità	PROPN
fis-3240	135	8	strutturale	strutturale	PROPN
fis-3240	135	9	,	,	PUNCT
fis-3240	135	10	58	58	NUM
fis-3240	135	11	(	(	PUNCT
fis-3240	135	12	2021	2021	NUM
fis-3240	135	13	)	)	PUNCT
fis-3240	135	14	308	308	NUM
fis-3240	135	15	-	-	SYM
fis-3240	135	16	318	318	NUM
fis-3240	135	17	;	;	PUNCT
fis-3240	135	18	doi	doi	NOUN
fis-3240	135	19	:	:	PUNCT
fis-3240	135	20	10.3221	10.3221	NUM
fis-3240	135	21	/	/	SYM
fis-3240	135	22	igf	igf	PROPN
fis-3240	135	23	-	-	PUNCT
fis-3240	135	24	esis.58.23	esis.58.23	PROPN
fis-3240	135	25	313	313	NUM
fis-3240	135	26	group	group	NOUN
fis-3240	135	27	member	member	NOUN
fis-3240	135	28	maximum	maximum	PROPN
fis-3240	135	29	compressive	compressive	PROPN
fis-3240	135	30	stress	stress	NOUN
fis-3240	135	31	maximum	maximum	ADJ
fis-3240	135	32	tensile	tensile	NOUN
fis-3240	135	33	stress	stress	NOUN
fis-3240	135	34	1	1	NUM
fis-3240	135	35	1	1	NUM
fis-3240	135	36	35.092	35.092	NUM
fis-3240	135	37	40.0	40.0	NUM
fis-3240	135	38	2	2	NUM
fis-3240	135	39	2	2	NUM
fis-3240	135	40	,	,	PUNCT
fis-3240	135	41	3	3	NUM
fis-3240	135	42	,	,	PUNCT
fis-3240	135	43	4	4	NUM
fis-3240	135	44	,	,	PUNCT
fis-3240	135	45	5	5	NUM
fis-3240	135	46	11.590	11.590	NUM
fis-3240	135	47	40.0	40.0	NUM
fis-3240	135	48	3	3	NUM
fis-3240	135	49	6	6	NUM
fis-3240	135	50	,	,	PUNCT
fis-3240	135	51	7	7	NUM
fis-3240	135	52	,	,	PUNCT
fis-3240	135	53	8	8	NUM
fis-3240	135	54	,	,	PUNCT
fis-3240	135	55	9	9	NUM
fis-3240	135	56	17.305	17.305	NUM
fis-3240	135	57	40.0	40.0	NUM
fis-3240	135	58	4	4	NUM
fis-3240	135	59	10	10	NUM
fis-3240	135	60	,	,	PUNCT
fis-3240	135	61	11	11	NUM
fis-3240	135	62	35.092	35.092	NUM
fis-3240	135	63	40.0	40.0	NUM
fis-3240	135	64	5	5	NUM
fis-3240	135	65	12	12	NUM
fis-3240	135	66	,	,	PUNCT
fis-3240	135	67	13	13	NUM
fis-3240	135	68	35.092	35.092	NUM
fis-3240	135	69	40.0	40.0	NUM
fis-3240	135	70	6	6	NUM
fis-3240	135	71	14	14	NUM
fis-3240	135	72	,	,	PUNCT
fis-3240	135	73	15	15	NUM
fis-3240	135	74	,	,	PUNCT
fis-3240	135	75	16	16	NUM
fis-3240	135	76	,	,	PUNCT
fis-3240	135	77	17	17	NUM
fis-3240	135	78	6.759	6.759	NUM
fis-3240	135	79	40.0	40.0	NUM
fis-3240	135	80	7	7	NUM
fis-3240	135	81	18	18	NUM
fis-3240	135	82	,	,	PUNCT
fis-3240	135	83	19	19	NUM
fis-3240	135	84	,	,	PUNCT
fis-3240	135	85	20	20	NUM
fis-3240	135	86	,	,	PUNCT
fis-3240	135	87	21	21	NUM
fis-3240	135	88	6.959	6.959	NUM
fis-3240	135	89	40.0	40.0	NUM
fis-3240	135	90	8	8	NUM
fis-3240	135	91	22	22	NUM
fis-3240	135	92	,	,	PUNCT
fis-3240	135	93	23	23	NUM
fis-3240	135	94	,	,	PUNCT
fis-3240	135	95	24	24	NUM
fis-3240	135	96	,	,	PUNCT
fis-3240	135	97	25	25	NUM
fis-3240	135	98	11.082	11.082	NUM
fis-3240	135	99	40.0	40.0	NUM
fis-3240	135	100	table	table	NOUN
fis-3240	135	101	1	1	NUM
fis-3240	135	102	:	:	PUNCT
fis-3240	135	103	limitation	limitation	NOUN
fis-3240	135	104	of	of	ADP
fis-3240	135	105	stresses	stress	NOUN
fis-3240	135	106	for	for	ADP
fis-3240	135	107	eight	eight	NUM
fis-3240	135	108	groups	group	NOUN
fis-3240	135	109	of	of	ADP
fis-3240	135	110	the	the	DET
fis-3240	135	111	25	25	NUM
fis-3240	135	112	-	-	PUNCT
fis-3240	135	113	bar	bar	NOUN
fis-3240	135	114	truss	truss	NOUN
fis-3240	135	115	structure	structure	NOUN
fis-3240	135	116	unit	unit	NOUN
fis-3240	135	117	:	:	PUNCT
fis-3240	135	118	ksi	ksi	PROPN
fis-3240	135	119	.	.	PUNCT
fis-3240	136	1	(	(	PUNCT
fis-3240	136	2	1	1	X
fis-3240	136	3	)	)	PUNCT
fis-3240	136	4	1	1	NUM
fis-3240	136	5	60	60	NUM
fis-3240	136	6	in	in	ADP
fis-3240	136	7	y	y	PROPN
fis-3240	136	8	x	x	X
fis-3240	136	9	(	(	PUNCT
fis-3240	136	10	2	2	NUM
fis-3240	136	11	)	)	PUNCT
fis-3240	136	12	(	(	PUNCT
fis-3240	136	13	3	3	X
fis-3240	136	14	)	)	PUNCT
fis-3240	136	15	(	(	PUNCT
fis-3240	136	16	4	4	NUM
fis-3240	136	17	)	)	PUNCT
fis-3240	136	18	(	(	PUNCT
fis-3240	136	19	5	5	NUM
fis-3240	136	20	)	)	PUNCT
fis-3240	136	21	(	(	PUNCT
fis-3240	136	22	6	6	NUM
fis-3240	136	23	)	)	PUNCT
fis-3240	136	24	(	(	PUNCT
fis-3240	136	25	7	7	NUM
fis-3240	136	26	)	)	PUNCT
fis-3240	136	27	(	(	PUNCT
fis-3240	136	28	8)	8)	NUM
fis-3240	136	29	(	(	PUNCT
fis-3240	136	30	9	9	NUM
fis-3240	136	31	)	)	PUNCT
fis-3240	136	32	(	(	PUNCT
fis-3240	136	33	10	10	NUM
fis-3240	136	34	)	)	PUNCT
fis-3240	136	35	(	(	PUNCT
fis-3240	136	36	11	11	NUM
fis-3240	136	37	)	)	PUNCT
fis-3240	136	38	(	(	PUNCT
fis-3240	136	39	12	12	NUM
fis-3240	136	40	)	)	PUNCT
fis-3240	136	41	(	(	PUNCT
fis-3240	136	42	13	13	NUM
fis-3240	136	43	)	)	PUNCT
fis-3240	136	44	(	(	PUNCT
fis-3240	136	45	14	14	NUM
fis-3240	136	46	)	)	PUNCT
fis-3240	136	47	(	(	PUNCT
fis-3240	136	48	15	15	NUM
fis-3240	136	49	)	)	PUNCT
fis-3240	136	50	(	(	PUNCT
fis-3240	136	51	17	17	NUM
fis-3240	136	52	)	)	PUNCT
fis-3240	136	53	(	(	PUNCT
fis-3240	136	54	18	18	NUM
fis-3240	136	55	)	)	PUNCT
fis-3240	136	56	(	(	PUNCT
fis-3240	136	57	19	19	NUM
fis-3240	136	58	)	)	PUNCT
fis-3240	136	59	(	(	PUNCT
fis-3240	136	60	16	16	NUM
fis-3240	136	61	)	)	PUNCT
fis-3240	136	62	(	(	PUNCT
fis-3240	136	63	20	20	NUM
fis-3240	136	64	)	)	PUNCT
fis-3240	136	65	(	(	PUNCT
fis-3240	136	66	21	21	NUM
fis-3240	136	67	)	)	PUNCT
fis-3240	136	68	(	(	PUNCT
fis-3240	136	69	22	22	NUM
fis-3240	136	70	)	)	PUNCT
fis-3240	136	71	2	2	NUM
fis-3240	136	72	3	3	NUM
fis-3240	136	73	4	4	NUM
fis-3240	136	74	5	5	NUM
fis-3240	136	75	6	6	NUM
fis-3240	136	76	8	8	NUM
fis-3240	136	77	9	9	NUM
fis-3240	136	78	7	7	NUM
fis-3240	136	79	1011	1011	NUM
fis-3240	136	80	17	17	NUM
fis-3240	136	81	23	23	NUM
fis-3240	136	82	25	25	NUM
fis-3240	136	83	21	21	NUM
fis-3240	136	84	19	19	NUM
fis-3240	136	85	13	13	NUM
fis-3240	136	86	27	27	NUM
fis-3240	136	87	15	15	NUM
fis-3240	136	88	16	16	NUM
fis-3240	136	89	12	12	NUM
fis-3240	136	90	18	18	NUM
fis-3240	136	91	2426	2426	NUM
fis-3240	136	92	22	22	NUM
fis-3240	136	93	1914	1914	NUM
fis-3240	136	94	29	29	NUM
fis-3240	136	95	30	30	NUM
fis-3240	136	96	31	31	NUM
fis-3240	136	97	32	32	NUM
fis-3240	136	98	28	28	NUM
fis-3240	136	99	33	33	NUM
fis-3240	136	100	34	34	NUM
fis-3240	136	101	35	35	NUM
fis-3240	136	102	36	36	NUM
fis-3240	136	103	37	37	NUM
fis-3240	136	104	39	39	NUM
fis-3240	136	105	40	40	NUM
fis-3240	136	106	41	41	NUM
fis-3240	136	107	42	42	NUM
fis-3240	136	108	38	38	NUM
fis-3240	136	109	43	43	NUM
fis-3240	136	110	44	44	NUM
fis-3240	136	111	45	45	NUM
fis-3240	136	112	46	46	NUM
fis-3240	136	113	47	47	NUM
fis-3240	136	114	60	60	NUM
fis-3240	136	115	in	in	ADP
fis-3240	136	116	60	60	NUM
fis-3240	136	117	in	in	ADP
fis-3240	136	118	60	60	NUM
fis-3240	136	119	in	in	ADP
fis-3240	136	120	60	60	NUM
fis-3240	136	121	in	in	ADP
fis-3240	136	122	60	60	NUM
fis-3240	136	123	in	in	ADP
fis-3240	136	124	60	60	NUM
fis-3240	136	125	in	in	ADP
fis-3240	136	126	60	60	NUM
fis-3240	136	127	in	in	ADP
fis-3240	136	128	60	60	NUM
fis-3240	136	129	in	in	ADP
fis-3240	136	130	120	120	NUM
fis-3240	136	131	in	in	ADP
fis-3240	136	132	120	120	NUM
fis-3240	136	133	in	in	ADP
fis-3240	136	134	120	120	NUM
fis-3240	136	135	in	in	ADP
fis-3240	136	136	60	60	NUM
fis-3240	136	137	in	in	ADP
fis-3240	136	138	60	60	NUM
fis-3240	136	139	in	in	ADP
fis-3240	136	140	figure	figure	NOUN
fis-3240	136	141	7	7	NUM
fis-3240	136	142	:	:	PUNCT
fis-3240	136	143	47	47	NUM
fis-3240	136	144	-	-	PUNCT
fis-3240	136	145	bar	bar	NOUN
fis-3240	136	146	truss	truss	NOUN
fis-3240	136	147	structure	structure	NOUN
fis-3240	136	148	.	.	PUNCT
fis-3240	137	1	t.-h	t.-h	NOUN
fis-3240	137	2	.	.	PUNCT
fis-3240	138	1	nguyen	nguyen	PROPN
fis-3240	138	2	et	et	PROPN
fis-3240	138	3	alii	alii	PROPN
fis-3240	138	4	,	,	PUNCT
fis-3240	138	5	frattura	frattura	PROPN
fis-3240	138	6	ed	ed	PROPN
fis-3240	138	7	integrità	integrità	PROPN
fis-3240	138	8	strutturale	strutturale	PROPN
fis-3240	138	9	,	,	PUNCT
fis-3240	138	10	58	58	NUM
fis-3240	138	11	(	(	PUNCT
fis-3240	138	12	2021	2021	NUM
fis-3240	138	13	)	)	PUNCT
fis-3240	138	14	308	308	NUM
fis-3240	138	15	-	-	SYM
fis-3240	138	16	318	318	NUM
fis-3240	138	17	;	;	PUNCT
fis-3240	138	18	doi	doi	NOUN
fis-3240	138	19	:	:	PUNCT
fis-3240	138	20	10.3221	10.3221	NUM
fis-3240	138	21	/	/	SYM
fis-3240	138	22	igf	igf	PROPN
fis-3240	138	23	-	-	PUNCT
fis-3240	138	24	esis.58.23	esis.58.23	PROPN
fis-3240	138	25	314	314	NUM
fis-3240	138	26	group	group	NOUN
fis-3240	138	27	members	member	NOUN
fis-3240	138	28	group	group	NOUN
fis-3240	138	29	members	members	PROPN
fis-3240	138	30	group	group	NOUN
fis-3240	138	31	members	member	VERB
fis-3240	138	32	1	1	NUM
fis-3240	138	33	1	1	NUM
fis-3240	138	34	,	,	PUNCT
fis-3240	138	35	3	3	NUM
fis-3240	138	36	10	10	NUM
fis-3240	138	37	17	17	NUM
fis-3240	138	38	,	,	PUNCT
fis-3240	138	39	18	18	NUM
fis-3240	138	40	19	19	NUM
fis-3240	138	41	33	33	NUM
fis-3240	138	42	2	2	NUM
fis-3240	138	43	2	2	NUM
fis-3240	138	44	,	,	PUNCT
fis-3240	138	45	4	4	NUM
fis-3240	138	46	11	11	NUM
fis-3240	138	47	19	19	NUM
fis-3240	138	48	,	,	PUNCT
fis-3240	138	49	20	20	NUM
fis-3240	138	50	20	20	NUM
fis-3240	138	51	34	34	NUM
fis-3240	138	52	,	,	PUNCT
fis-3240	138	53	35	35	NUM
fis-3240	138	54	3	3	NUM
fis-3240	138	55	5	5	NUM
fis-3240	138	56	,	,	PUNCT
fis-3240	138	57	6	6	NUM
fis-3240	138	58	12	12	NUM
fis-3240	138	59	21	21	NUM
fis-3240	138	60	,	,	PUNCT
fis-3240	138	61	22	22	NUM
fis-3240	138	62	21	21	NUM
fis-3240	138	63	36	36	NUM
fis-3240	138	64	,	,	PUNCT
fis-3240	138	65	37	37	NUM
fis-3240	138	66	4	4	NUM
fis-3240	138	67	7	7	NUM
fis-3240	138	68	13	13	NUM
fis-3240	138	69	23	23	NUM
fis-3240	138	70	,	,	PUNCT
fis-3240	138	71	24	24	NUM
fis-3240	138	72	22	22	NUM
fis-3240	138	73	38	38	NUM
fis-3240	138	74	5	5	NUM
fis-3240	138	75	8	8	NUM
fis-3240	138	76	,	,	PUNCT
fis-3240	138	77	9	9	NUM
fis-3240	138	78	14	14	NUM
fis-3240	138	79	25	25	NUM
fis-3240	138	80	,	,	PUNCT
fis-3240	138	81	26	26	NUM
fis-3240	138	82	23	23	NUM
fis-3240	138	83	39	39	NUM
fis-3240	138	84	,	,	PUNCT
fis-3240	138	85	40	40	NUM
fis-3240	138	86	6	6	NUM
fis-3240	138	87	10	10	NUM
fis-3240	138	88	15	15	NUM
fis-3240	138	89	27	27	NUM
fis-3240	138	90	24	24	NUM
fis-3240	138	91	41	41	NUM
fis-3240	138	92	,	,	PUNCT
fis-3240	138	93	42	42	NUM
fis-3240	138	94	7	7	NUM
fis-3240	138	95	11	11	NUM
fis-3240	138	96	,	,	PUNCT
fis-3240	138	97	12	12	NUM
fis-3240	138	98	16	16	NUM
fis-3240	138	99	28	28	NUM
fis-3240	138	100	25	25	NUM
fis-3240	138	101	43	43	NUM
fis-3240	138	102	8	8	NUM
fis-3240	138	103	13	13	NUM
fis-3240	138	104	,	,	PUNCT
fis-3240	138	105	14	14	NUM
fis-3240	138	106	17	17	NUM
fis-3240	138	107	29	29	NUM
fis-3240	138	108	,	,	PUNCT
fis-3240	138	109	30	30	NUM
fis-3240	138	110	26	26	NUM
fis-3240	138	111	44	44	NUM
fis-3240	138	112	,	,	PUNCT
fis-3240	138	113	45	45	NUM
fis-3240	138	114	9	9	NUM
fis-3240	138	115	15	15	NUM
fis-3240	138	116	,	,	PUNCT
fis-3240	138	117	16	16	NUM
fis-3240	138	118	18	18	NUM
fis-3240	138	119	31	31	NUM
fis-3240	138	120	,	,	PUNCT
fis-3240	138	121	32	32	NUM
fis-3240	138	122	27	27	NUM
fis-3240	138	123	46	46	NUM
fis-3240	138	124	,	,	PUNCT
fis-3240	138	125	47	47	NUM
fis-3240	138	126	table	table	NOUN
fis-3240	138	127	2	2	NUM
fis-3240	138	128	:	:	PUNCT
fis-3240	138	129	group	group	NOUN
fis-3240	138	130	member	member	NOUN
fis-3240	138	131	of	of	ADP
fis-3240	138	132	the	the	DET
fis-3240	138	133	47	47	NUM
fis-3240	138	134	-	-	PUNCT
fis-3240	138	135	bar	bar	NOUN
fis-3240	138	136	tower	tower	NOUN
fis-3240	138	137	.	.	PUNCT
fis-3240	139	1	stresses	stress	NOUN
fis-3240	139	2	inside	inside	ADP
fis-3240	139	3	members	member	NOUN
fis-3240	139	4	must	must	AUX
fis-3240	139	5	be	be	AUX
fis-3240	139	6	smaller	small	ADJ
fis-3240	139	7	than	than	ADP
fis-3240	139	8	limit	limit	VERB
fis-3240	139	9	values	value	NOUN
fis-3240	139	10	.	.	PUNCT
fis-3240	140	1	the	the	DET
fis-3240	140	2	limited	limited	ADJ
fis-3240	140	3	tensile	tensile	NOUN
fis-3240	140	4	and	and	CCONJ
fis-3240	140	5	compressive	compressive	ADJ
fis-3240	140	6	stresses	stress	NOUN
fis-3240	140	7	are	be	AUX
fis-3240	140	8	20	20	NUM
fis-3240	140	9	ksi	ksi	NOUN
fis-3240	140	10	and	and	CCONJ
fis-3240	140	11	-15	-15	PUNCT
fis-3240	140	12	ksi	ksi	PROPN
fis-3240	140	13	,	,	PUNCT
fis-3240	140	14	respectively	respectively	ADV
fis-3240	140	15	.	.	PUNCT
fis-3240	141	1	the	the	DET
fis-3240	141	2	maximum	maximum	ADJ
fis-3240	141	3	buckling	buckle	VERB
fis-3240	141	4	stress	stress	NOUN
fis-3240	141	5	of	of	ADP
fis-3240	141	6	the	the	DET
fis-3240	141	7	ith	ith	PROPN
fis-3240	141	8	member	member	NOUN
fis-3240	141	9	can	can	AUX
fis-3240	141	10	be	be	AUX
fis-3240	141	11	calculated	calculate	VERB
fis-3240	141	12	by	by	ADP
fis-3240	141	13	the	the	DET
fis-3240	141	14	following	follow	VERB
fis-3240	141	15	equation	equation	NOUN
fis-3240	141	16	:	:	PUNCT
fis-3240	141	17			PROPN
fis-3240	142	1			NUM
fis-3240	142	2	i	i	NOUN
fis-3240	143	1	i	i	PRON
fis-3240	144	1	cr	cr	VERB
fis-3240	145	1	i	i	PRON
fis-3240	145	2	kea	kea	PROPN
fis-3240	145	3	l	l	X
fis-3240	145	4	(	(	PUNCT
fis-3240	145	5	1	1	NUM
fis-3240	145	6	)	)	PUNCT
fis-3240	145	7	where	where	SCONJ
fis-3240	145	8	:	:	PUNCT
fis-3240	145	9	k	k	X
fis-3240	145	10	is	be	AUX
fis-3240	145	11	the	the	DET
fis-3240	145	12	buckling	buckle	VERB
fis-3240	145	13	constant	constant	ADJ
fis-3240	145	14	that	that	PRON
fis-3240	145	15	is	be	AUX
fis-3240	145	16	fixed	fix	VERB
fis-3240	145	17	to	to	ADP
fis-3240	145	18	3.96	3.96	NUM
fis-3240	145	19	in	in	ADP
fis-3240	145	20	this	this	DET
fis-3240	145	21	study	study	NOUN
fis-3240	145	22	;	;	PUNCT
fis-3240	145	23	ai	ai	VERB
fis-3240	145	24	and	and	CCONJ
fis-3240	145	25	li	li	PROPN
fis-3240	145	26	are	be	AUX
fis-3240	145	27	the	the	DET
fis-3240	145	28	cross	cross	ADJ
fis-3240	145	29	-	-	ADJ
fis-3240	145	30	sectional	sectional	ADJ
fis-3240	145	31	area	area	NOUN
fis-3240	145	32	and	and	CCONJ
fis-3240	145	33	the	the	DET
fis-3240	145	34	length	length	NOUN
fis-3240	145	35	of	of	ADP
fis-3240	145	36	ith	ith	PROPN
fis-3240	145	37	member	member	NOUN
fis-3240	145	38	,	,	PUNCT
fis-3240	145	39	respectively	respectively	ADV
fis-3240	145	40	.	.	PUNCT
fis-3240	146	1	for	for	ADP
fis-3240	146	2	each	each	DET
fis-3240	146	3	structure	structure	NOUN
fis-3240	146	4	,	,	PUNCT
fis-3240	146	5	two	two	NUM
fis-3240	146	6	separated	separate	VERB
fis-3240	146	7	datasets	dataset	NOUN
fis-3240	146	8	are	be	AUX
fis-3240	146	9	independently	independently	ADV
fis-3240	146	10	generated	generate	VERB
fis-3240	146	11	,	,	PUNCT
fis-3240	146	12	one	one	NUM
fis-3240	146	13	for	for	ADP
fis-3240	146	14	training	training	NOUN
fis-3240	146	15	and	and	CCONJ
fis-3240	146	16	one	one	NUM
fis-3240	146	17	for	for	ADP
fis-3240	146	18	testing	testing	NOUN
fis-3240	146	19	.	.	PUNCT
fis-3240	147	1	each	each	DET
fis-3240	147	2	dataset	dataset	NOUN
fis-3240	147	3	contains	contain	VERB
fis-3240	147	4	1000	1000	NUM
fis-3240	147	5	data	data	NOUN
fis-3240	147	6	samples	sample	NOUN
fis-3240	147	7	.	.	PUNCT
fis-3240	148	1	the	the	DET
fis-3240	148	2	number	number	NOUN
fis-3240	148	3	of	of	ADP
fis-3240	148	4	safe	safe	ADJ
fis-3240	148	5	samples	sample	NOUN
fis-3240	148	6	and	and	CCONJ
fis-3240	148	7	unsafe	unsafe	ADJ
fis-3240	148	8	samples	sample	NOUN
fis-3240	148	9	in	in	ADP
fis-3240	148	10	each	each	DET
fis-3240	148	11	dataset	dataset	NOUN
fis-3240	148	12	are	be	AUX
fis-3240	148	13	shown	show	VERB
fis-3240	148	14	in	in	ADP
fis-3240	148	15	fig	fig	NOUN
fis-3240	148	16	.	.	PUNCT
fis-3240	149	1	8	8	NUM
fis-3240	149	2	.	.	PUNCT
fis-3240	149	3	  	  	SPACE
fis-3240	149	4	figure	figure	NOUN
fis-3240	149	5	8	8	NUM
fis-3240	149	6	:	:	PUNCT
fis-3240	149	7	distribution	distribution	NOUN
fis-3240	149	8	of	of	ADP
fis-3240	149	9	safe	safe	ADJ
fis-3240	149	10	and	and	CCONJ
fis-3240	149	11	unsafe	unsafe	ADJ
fis-3240	149	12	samples	sample	NOUN
fis-3240	149	13	in	in	ADP
fis-3240	149	14	the	the	DET
fis-3240	149	15	training	training	NOUN
fis-3240	149	16	and	and	CCONJ
fis-3240	149	17	the	the	DET
fis-3240	149	18	testing	testing	NOUN
fis-3240	149	19	datasets	dataset	NOUN
fis-3240	149	20	.	.	PUNCT
fis-3240	150	1	comparison	comparison	NOUN
fis-3240	150	2	setups	setup	NOUN
fis-3240	150	3	  	  	SPACE
fis-3240	150	4	l	l	NOUN
fis-3240	150	5	models	model	NOUN
fis-3240	150	6	for	for	ADP
fis-3240	150	7	evaluating	evaluate	VERB
fis-3240	150	8	the	the	DET
fis-3240	150	9	safety	safety	NOUN
fis-3240	150	10	of	of	ADP
fis-3240	150	11	truss	truss	ADJ
fis-3240	150	12	structures	structure	NOUN
fis-3240	150	13	are	be	AUX
fis-3240	150	14	developed	develop	VERB
fis-3240	150	15	based	base	VERB
fis-3240	150	16	on	on	ADP
fis-3240	150	17	the	the	DET
fis-3240	150	18	open	open	ADJ
fis-3240	150	19	-	-	PUNCT
fis-3240	150	20	source	source	NOUN
fis-3240	150	21	library	library	NOUN
fis-3240	150	22	scikit	scikit	NOUN
fis-3240	150	23	-	-	PUNCT
fis-3240	150	24	learn	learn	VERB
fis-3240	150	25	[	[	X
fis-3240	150	26	23	23	NUM
fis-3240	150	27	]	]	PUNCT
fis-3240	150	28	.	.	PUNCT
fis-3240	151	1	there	there	PRON
fis-3240	151	2	are	be	VERB
fis-3240	151	3	three	three	NUM
fis-3240	151	4	numerical	numerical	ADJ
fis-3240	151	5	examples	example	NOUN
fis-3240	151	6	and	and	CCONJ
fis-3240	151	7	three	three	NUM
fis-3240	151	8	classification	classification	NOUN
fis-3240	151	9	algorithms	algorithm	NOUN
fis-3240	151	10	used	use	VERB
fis-3240	151	11	in	in	ADP
fis-3240	151	12	this	this	DET
fis-3240	151	13	work	work	NOUN
fis-3240	151	14	,	,	PUNCT
fis-3240	151	15	so	so	ADV
fis-3240	151	16	a	a	DET
fis-3240	151	17	total	total	NOUN
fis-3240	151	18	of	of	ADP
fis-3240	151	19	9	9	NUM
fis-3240	151	20	models	model	NOUN
fis-3240	151	21	are	be	AUX
fis-3240	151	22	developed	develop	VERB
fis-3240	151	23	.	.	PUNCT
fis-3240	152	1	the	the	DET
fis-3240	152	2	hyperparameters	hyperparameter	NOUN
fis-3240	152	3	tuning	tuning	NOUN
fis-3240	152	4	of	of	ADP
fis-3240	152	5	ml	ml	NOUN
fis-3240	152	6	models	model	NOUN
fis-3240	152	7	is	be	AUX
fis-3240	152	8	conducted	conduct	VERB
fis-3240	152	9	by	by	ADP
fis-3240	152	10	combining	combine	VERB
fis-3240	152	11	the	the	DET
fis-3240	152	12	grid	grid	NOUN
fis-3240	152	13	search	search	NOUN
fis-3240	152	14	m	m	NOUN
fis-3240	152	15	t.-h	t.-h	NOUN
fis-3240	152	16	.	.	PUNCT
fis-3240	153	1	nguyen	nguyen	PROPN
fis-3240	153	2	et	et	PROPN
fis-3240	153	3	alii	alii	PROPN
fis-3240	153	4	,	,	PUNCT
fis-3240	153	5	frattura	frattura	PROPN
fis-3240	153	6	ed	ed	PROPN
fis-3240	153	7	integrità	integrità	PROPN
fis-3240	153	8	strutturale	strutturale	PROPN
fis-3240	153	9	,	,	PUNCT
fis-3240	153	10	58	58	NUM
fis-3240	153	11	(	(	PUNCT
fis-3240	153	12	2021	2021	NUM
fis-3240	153	13	)	)	PUNCT
fis-3240	153	14	308	308	NUM
fis-3240	153	15	-	-	SYM
fis-3240	153	16	318	318	NUM
fis-3240	153	17	;	;	PUNCT
fis-3240	153	18	doi	doi	NOUN
fis-3240	153	19	:	:	PUNCT
fis-3240	153	20	10.3221	10.3221	NUM
fis-3240	153	21	/	/	SYM
fis-3240	153	22	igf	igf	PROPN
fis-3240	153	23	-	-	PUNCT
fis-3240	153	24	esis.58.23	esis.58.23	PROPN
fis-3240	153	25	315	315	NUM
fis-3240	153	26	method	method	NOUN
fis-3240	153	27	and	and	CCONJ
fis-3240	153	28	k	k	ADJ
fis-3240	153	29	-	-	ADJ
fis-3240	153	30	fold	fold	ADJ
fis-3240	153	31	cross	cross	NOUN
fis-3240	153	32	-	-	NOUN
fis-3240	153	33	validation	validation	NOUN
fis-3240	153	34	.	.	PUNCT
fis-3240	154	1	the	the	DET
fis-3240	154	2	training	training	NOUN
fis-3240	154	3	datasets	dataset	NOUN
fis-3240	154	4	are	be	AUX
fis-3240	154	5	divided	divide	VERB
fis-3240	154	6	into	into	ADP
fis-3240	154	7	five	five	NUM
fis-3240	154	8	parts	part	NOUN
fis-3240	154	9	(	(	PUNCT
fis-3240	154	10	k=5	k=5	PROPN
fis-3240	154	11	)	)	PUNCT
fis-3240	154	12	,	,	PUNCT
fis-3240	154	13	in	in	ADP
fis-3240	154	14	which	which	PRON
fis-3240	154	15	four	four	NUM
fis-3240	154	16	parts	part	NOUN
fis-3240	154	17	are	be	AUX
fis-3240	154	18	used	use	VERB
fis-3240	154	19	to	to	PART
fis-3240	154	20	train	train	VERB
fis-3240	154	21	and	and	CCONJ
fis-3240	154	22	the	the	DET
fis-3240	154	23	remaining	remain	VERB
fis-3240	154	24	one	one	NUM
fis-3240	154	25	is	be	AUX
fis-3240	154	26	used	use	VERB
fis-3240	154	27	to	to	PART
fis-3240	154	28	validate	validate	VERB
fis-3240	154	29	.	.	PUNCT
fis-3240	155	1	the	the	DET
fis-3240	155	2	final	final	ADJ
fis-3240	155	3	parameters	parameter	NOUN
fis-3240	155	4	of	of	ADP
fis-3240	155	5	each	each	DET
fis-3240	155	6	algorithm	algorithm	NOUN
fis-3240	155	7	are	be	AUX
fis-3240	155	8	summarized	summarize	VERB
fis-3240	155	9	in	in	ADP
fis-3240	155	10	tab	tab	NOUN
fis-3240	155	11	.	.	PUNCT
fis-3240	156	1	3	3	X
fis-3240	156	2	.	.	X
fis-3240	156	3	after	after	ADP
fis-3240	156	4	finding	find	VERB
fis-3240	156	5	the	the	DET
fis-3240	156	6	hyperparameters	hyperparameter	NOUN
fis-3240	156	7	,	,	PUNCT
fis-3240	156	8	the	the	DET
fis-3240	156	9	full	full	ADJ
fis-3240	156	10	training	training	NOUN
fis-3240	156	11	datasets	dataset	NOUN
fis-3240	156	12	are	be	AUX
fis-3240	156	13	fed	feed	VERB
fis-3240	156	14	into	into	ADP
fis-3240	156	15	the	the	DET
fis-3240	156	16	ml	ml	PROPN
fis-3240	156	17	models	model	NOUN
fis-3240	156	18	.	.	PUNCT
fis-3240	157	1	when	when	SCONJ
fis-3240	157	2	the	the	DET
fis-3240	157	3	training	training	NOUN
fis-3240	157	4	process	process	NOUN
fis-3240	157	5	is	be	AUX
fis-3240	157	6	completed	complete	VERB
fis-3240	157	7	,	,	PUNCT
fis-3240	157	8	these	these	DET
fis-3240	157	9	models	model	NOUN
fis-3240	157	10	are	be	AUX
fis-3240	157	11	ready	ready	ADJ
fis-3240	157	12	to	to	PART
fis-3240	157	13	predict	predict	VERB
fis-3240	157	14	the	the	DET
fis-3240	157	15	structural	structural	ADJ
fis-3240	157	16	safety	safety	NOUN
fis-3240	157	17	state	state	NOUN
fis-3240	157	18	of	of	ADP
fis-3240	157	19	the	the	DET
fis-3240	157	20	testing	testing	NOUN
fis-3240	157	21	datasets	dataset	NOUN
fis-3240	157	22	.	.	PUNCT
fis-3240	158	1	algorithm	algorithm	PROPN
fis-3240	158	2	hyperparameters	hyperparameter	VERB
fis-3240	158	3	  	  	SPACE
fis-3240	158	4	svm	svm	PROPN
fis-3240	158	5	kernel=’rbf	kernel=’rbf	PROPN
fis-3240	158	6	’	'	PUNCT
fis-3240	158	7	;	;	PUNCT
fis-3240	159	1	c=1000	c=1000	PROPN
fis-3240	159	2	;	;	PUNCT
fis-3240	159	3	gamma=0.1	gamma=0.1	PROPN
fis-3240	159	4	ann	ann	PROPN
fis-3240	159	5	architecture	architecture	NOUN
fis-3240	159	6	(	(	PUNCT
fis-3240	159	7	100	100	NUM
fis-3240	159	8	-	-	SYM
fis-3240	159	9	100	100	NUM
fis-3240	159	10	-	-	PUNCT
fis-3240	159	11	100	100	NUM
fis-3240	159	12	-	-	PUNCT
fis-3240	159	13	2	2	NUM
fis-3240	159	14	)	)	PUNCT
fis-3240	159	15	;	;	PUNCT
fis-3240	159	16	activation=’relu	activation=’relu	PROPN
fis-3240	159	17	’	'	PUNCT
fis-3240	159	18	;	;	PUNCT
fis-3240	159	19	solver	solver	ADV
fis-3240	159	20	=	=	PUNCT
fis-3240	159	21	adam	adam	PROPN
fis-3240	159	22	;	;	PUNCT
fis-3240	159	23	batch_size=5	batch_size=5	NOUN
fis-3240	159	24	;	;	PUNCT
fis-3240	159	25	max_iter=1000	max_iter=1000	NOUN
fis-3240	159	26	adaboost	adaboost	ADV
fis-3240	159	27	base_estimator	base_estimator	NOUN
fis-3240	159	28	=	=	NOUN
fis-3240	159	29	decisiontreeclassifier	decisiontreeclassifier	NOUN
fis-3240	159	30	;	;	PUNCT
fis-3240	159	31	max_depth=2	max_depth=2	NOUN
fis-3240	159	32	;	;	PUNCT
fis-3240	159	33	n_estimators=100	n_estimators=100	PROPN
fis-3240	159	34	;	;	PUNCT
fis-3240	159	35	learning_rate=1	learning_rate=1	NOUN
fis-3240	159	36	table	table	NOUN
fis-3240	159	37	3	3	NUM
fis-3240	159	38	:	:	PUNCT
fis-3240	159	39	hyperparameters	hyperparameter	NOUN
fis-3240	159	40	of	of	ADP
fis-3240	159	41	ml	ml	NOUN
fis-3240	159	42	models	model	NOUN
fis-3240	159	43	.	.	PUNCT
fis-3240	160	1	metrics	metric	NOUN
fis-3240	160	2	  	  	SPACE
fis-3240	160	3	two	two	NUM
fis-3240	160	4	evaluation	evaluation	NOUN
fis-3240	160	5	metrics	metric	NOUN
fis-3240	160	6	are	be	AUX
fis-3240	160	7	used	use	VERB
fis-3240	160	8	in	in	ADP
fis-3240	160	9	this	this	DET
fis-3240	160	10	study	study	NOUN
fis-3240	160	11	.	.	PUNCT
fis-3240	161	1	the	the	DET
fis-3240	161	2	first	first	ADJ
fis-3240	161	3	metric	metric	NOUN
fis-3240	161	4	is	be	AUX
fis-3240	161	5	the	the	DET
fis-3240	161	6	accuracy	accuracy	NOUN
fis-3240	161	7	which	which	PRON
fis-3240	161	8	can	can	AUX
fis-3240	161	9	be	be	AUX
fis-3240	161	10	determined	determine	VERB
fis-3240	161	11	using	use	VERB
fis-3240	161	12	the	the	DET
fis-3240	161	13	following	follow	VERB
fis-3240	161	14	equation	equation	NOUN
fis-3240	161	15	:	:	PUNCT
fis-3240	161	16			PROPN
fis-3240	161	17			PROPN
fis-3240	161	18			PROPN
fis-3240	161	19			PUNCT
fis-3240	161	20			VERB
fis-3240	161	21	tp	tp	ADP
fis-3240	161	22	tn	tn	PROPN
fis-3240	161	23	accuracy	accuracy	NOUN
fis-3240	161	24	tp	tp	ADP
fis-3240	161	25	tn	tn	PROPN
fis-3240	161	26	fp	fp	INTJ
fis-3240	161	27	fn	fn	PROPN
fis-3240	161	28	(	(	PUNCT
fis-3240	161	29	2	2	NUM
fis-3240	161	30	)	)	PUNCT
fis-3240	161	31	where	where	SCONJ
fis-3240	161	32	:	:	PUNCT
fis-3240	161	33	tp	tp	X
fis-3240	161	34	,	,	PUNCT
fis-3240	161	35	tn	tn	PROPN
fis-3240	161	36	are	be	AUX
fis-3240	161	37	the	the	DET
fis-3240	161	38	numbers	number	NOUN
fis-3240	161	39	of	of	ADP
fis-3240	161	40	positive	positive	ADJ
fis-3240	161	41	and	and	CCONJ
fis-3240	161	42	negative	negative	ADJ
fis-3240	161	43	samples	sample	NOUN
fis-3240	161	44	that	that	PRON
fis-3240	161	45	are	be	AUX
fis-3240	161	46	correctly	correctly	ADV
fis-3240	161	47	classified	classified	ADJ
fis-3240	161	48	;	;	PUNCT
fis-3240	161	49	fp	fp	X
fis-3240	161	50	,	,	PUNCT
fis-3240	161	51	fn	fn	NOUN
fis-3240	161	52	are	be	AUX
fis-3240	161	53	the	the	DET
fis-3240	161	54	numbers	number	NOUN
fis-3240	161	55	of	of	ADP
fis-3240	161	56	positive	positive	ADJ
fis-3240	161	57	and	and	CCONJ
fis-3240	161	58	negative	negative	ADJ
fis-3240	161	59	samples	sample	NOUN
fis-3240	161	60	that	that	PRON
fis-3240	161	61	are	be	AUX
fis-3240	161	62	misclassified	misclassifie	VERB
fis-3240	161	63	.	.	PUNCT
fis-3240	162	1	additionally	additionally	ADV
fis-3240	162	2	,	,	PUNCT
fis-3240	162	3	the	the	DET
fis-3240	162	4	area	area	NOUN
fis-3240	162	5	under	under	ADP
fis-3240	162	6	the	the	DET
fis-3240	162	7	roc	roc	PROPN
fis-3240	162	8	curve	curve	NOUN
fis-3240	162	9	(	(	PUNCT
fis-3240	162	10	auc	auc	NOUN
fis-3240	162	11	)	)	PUNCT
fis-3240	162	12	is	be	AUX
fis-3240	162	13	also	also	ADV
fis-3240	162	14	used	use	VERB
fis-3240	162	15	to	to	PART
fis-3240	162	16	compare	compare	VERB
fis-3240	162	17	three	three	NUM
fis-3240	162	18	algorithms	algorithm	NOUN
fis-3240	162	19	.	.	PUNCT
fis-3240	163	1	the	the	DET
fis-3240	163	2	roc	roc	PROPN
fis-3240	163	3	curve	curve	NOUN
fis-3240	163	4	originally	originally	ADV
fis-3240	163	5	developed	develop	VERB
fis-3240	163	6	for	for	ADP
fis-3240	163	7	operators	operator	NOUN
fis-3240	163	8	of	of	ADP
fis-3240	163	9	military	military	ADJ
fis-3240	163	10	radar	radar	NOUN
fis-3240	163	11	receivers	receivers	NOUN
fis-3240	163	12	is	be	AUX
fis-3240	163	13	the	the	DET
fis-3240	163	14	relationship	relationship	NOUN
fis-3240	163	15	between	between	ADP
fis-3240	163	16	true	true	ADJ
fis-3240	163	17	positive	positive	ADJ
fis-3240	163	18	rate	rate	NOUN
fis-3240	163	19	and	and	CCONJ
fis-3240	163	20	false	false	ADJ
fis-3240	163	21	positive	positive	ADJ
fis-3240	163	22	rate	rate	NOUN
fis-3240	163	23	.	.	PUNCT
fis-3240	164	1			NUM
fis-3240	164	2			ADJ
fis-3240	164	3	true	true	ADJ
fis-3240	164	4	positive	positive	ADJ
fis-3240	164	5	rate	rate	NOUN
fis-3240	164	6	tp	tp	ADP
fis-3240	164	7	fn	fn	NOUN
fis-3240	164	8	tp	tp	X
fis-3240	164	9	(	(	PUNCT
fis-3240	164	10	3	3	X
fis-3240	164	11	)	)	PUNCT
fis-3240	164	12			NOUN
fis-3240	164	13			ADJ
fis-3240	164	14	false	false	ADJ
fis-3240	164	15	positive	positive	ADJ
fis-3240	164	16	rate	rate	NOUN
fis-3240	164	17	fp	fp	PROPN
fis-3240	164	18	tn	tn	PROPN
fis-3240	164	19	fp	fp	PROPN
fis-3240	164	20	(	(	PUNCT
fis-3240	164	21	4	4	NUM
fis-3240	164	22	)	)	PUNCT
fis-3240	164	23	results	result	VERB
fis-3240	164	24	  	  	SPACE
fis-3240	164	25	each	each	DET
fis-3240	164	26	problem	problem	NOUN
fis-3240	164	27	is	be	AUX
fis-3240	164	28	carried	carry	VERB
fis-3240	164	29	out	out	ADP
fis-3240	164	30	30	30	NUM
fis-3240	164	31	times	time	NOUN
fis-3240	164	32	.	.	PUNCT
fis-3240	165	1	the	the	DET
fis-3240	165	2	average	average	ADJ
fis-3240	165	3	accuracies	accuracy	NOUN
fis-3240	165	4	of	of	ADP
fis-3240	165	5	three	three	NUM
fis-3240	165	6	ml	ml	NOUN
fis-3240	165	7	algorithms	algorithm	NOUN
fis-3240	165	8	are	be	AUX
fis-3240	165	9	summarized	summarize	VERB
fis-3240	165	10	in	in	ADP
fis-3240	165	11	tab	tab	NOUN
fis-3240	165	12	.	.	PUNCT
fis-3240	166	1	4	4	X
fis-3240	166	2	.	.	X
fis-3240	166	3	it	it	PRON
fis-3240	166	4	can	can	AUX
fis-3240	166	5	be	be	AUX
fis-3240	166	6	seen	see	VERB
fis-3240	166	7	that	that	SCONJ
fis-3240	166	8	for	for	ADP
fis-3240	166	9	two	two	NUM
fis-3240	166	10	problems	problem	NOUN
fis-3240	166	11	of	of	ADP
fis-3240	166	12	10	10	NUM
fis-3240	166	13	-	-	PUNCT
fis-3240	166	14	bar	bar	NOUN
fis-3240	166	15	truss	truss	NOUN
fis-3240	166	16	and	and	CCONJ
fis-3240	166	17	25	25	NUM
fis-3240	166	18	-	-	PUNCT
fis-3240	166	19	bar	bar	NOUN
fis-3240	166	20	truss	truss	NOUN
fis-3240	166	21	,	,	PUNCT
fis-3240	166	22	all	all	DET
fis-3240	166	23	three	three	NUM
fis-3240	166	24	algorithms	algorithm	NOUN
fis-3240	166	25	achieve	achieve	VERB
fis-3240	166	26	high	high	ADJ
fis-3240	166	27	accuracy	accuracy	NOUN
fis-3240	166	28	(	(	PUNCT
fis-3240	166	29	over	over	ADP
fis-3240	166	30	90	90	NUM
fis-3240	166	31	%	%	NOUN
fis-3240	166	32	)	)	PUNCT
fis-3240	166	33	.	.	PUNCT
fis-3240	167	1	particularly	particularly	ADV
fis-3240	167	2	for	for	ADP
fis-3240	167	3	the	the	DET
fis-3240	167	4	47	47	NUM
fis-3240	167	5	-	-	PUNCT
fis-3240	167	6	bar	bar	NOUN
fis-3240	167	7	truss	truss	NOUN
fis-3240	167	8	problem	problem	NOUN
fis-3240	167	9	,	,	PUNCT
fis-3240	167	10	the	the	DET
fis-3240	167	11	accuracies	accuracy	NOUN
fis-3240	167	12	of	of	ADP
fis-3240	167	13	the	the	DET
fis-3240	167	14	svm	svm	PROPN
fis-3240	167	15	and	and	CCONJ
fis-3240	167	16	the	the	DET
fis-3240	167	17	ann	ann	PROPN
fis-3240	167	18	models	model	NOUN
fis-3240	167	19	are	be	AUX
fis-3240	167	20	quite	quite	ADV
fis-3240	167	21	low	low	ADJ
fis-3240	167	22	(	(	PUNCT
fis-3240	167	23	below	below	ADP
fis-3240	167	24	70	70	NUM
fis-3240	167	25	%	%	NOUN
fis-3240	167	26	)	)	PUNCT
fis-3240	167	27	,	,	PUNCT
fis-3240	167	28	while	while	SCONJ
fis-3240	167	29	the	the	DET
fis-3240	167	30	adaboost	adaboost	ADJ
fis-3240	167	31	models	model	NOUN
fis-3240	167	32	still	still	ADV
fis-3240	167	33	retain	retain	VERB
fis-3240	167	34	the	the	DET
fis-3240	167	35	high	high	ADJ
fis-3240	167	36	accuracy	accuracy	NOUN
fis-3240	167	37	(	(	PUNCT
fis-3240	167	38	97.7	97.7	NUM
fis-3240	167	39	%	%	NOUN
fis-3240	167	40	)	)	PUNCT
fis-3240	167	41	.	.	PUNCT
fis-3240	168	1	problem	problem	NOUN
fis-3240	168	2	number	number	NOUN
fis-3240	168	3	of	of	ADP
fis-3240	168	4	features	feature	NOUN
fis-3240	168	5	svm	svm	VERB
fis-3240	168	6	ann	ann	PROPN
fis-3240	168	7	adaboost	adaboost	PROPN
fis-3240	168	8	  	  	SPACE
fis-3240	168	9	10	10	NUM
fis-3240	168	10	-	-	PUNCT
fis-3240	168	11	bar	bar	NOUN
fis-3240	168	12	truss	truss	NOUN
fis-3240	168	13	10	10	NUM
fis-3240	168	14	0.959	0.959	NUM
fis-3240	168	15	0.937	0.937	NUM
fis-3240	168	16	0.936	0.936	NUM
fis-3240	168	17	25	25	NUM
fis-3240	168	18	-	-	PUNCT
fis-3240	168	19	bar	bar	NOUN
fis-3240	168	20	truss	truss	NOUN
fis-3240	168	21	8	8	NUM
fis-3240	168	22	0.974	0.974	NUM
fis-3240	168	23	0.967	0.967	NUM
fis-3240	168	24	0.974	0.974	NUM
fis-3240	168	25	47	47	NUM
fis-3240	168	26	-	-	PUNCT
fis-3240	168	27	bar	bar	NOUN
fis-3240	168	28	truss	truss	NOUN
fis-3240	168	29	27	27	NUM
fis-3240	168	30	0.658	0.658	NUM
fis-3240	168	31	0.669	0.669	NUM
fis-3240	168	32	0.976	0.976	NUM
fis-3240	168	33	table	table	NOUN
fis-3240	168	34	4	4	NUM
fis-3240	168	35	:	:	PUNCT
fis-3240	168	36	accuracy	accuracy	NOUN
fis-3240	168	37	comparison	comparison	NOUN
fis-3240	168	38	of	of	ADP
fis-3240	168	39	three	three	NUM
fis-3240	168	40	ml	ml	NOUN
fis-3240	168	41	models	model	NOUN
fis-3240	168	42	.	.	PUNCT
fis-3240	169	1	furthermore	furthermore	ADV
fis-3240	169	2	,	,	PUNCT
fis-3240	169	3	fig	fig	NOUN
fis-3240	169	4	.	.	PUNCT
fis-3240	170	1	9	9	NUM
fis-3240	170	2	shows	show	VERB
fis-3240	170	3	the	the	DET
fis-3240	170	4	typical	typical	ADJ
fis-3240	170	5	roc	roc	PROPN
fis-3240	170	6	curves	curve	NOUN
fis-3240	170	7	of	of	ADP
fis-3240	170	8	these	these	DET
fis-3240	170	9	ml	ml	NOUN
fis-3240	170	10	algorithms	algorithm	NOUN
fis-3240	170	11	for	for	ADP
fis-3240	170	12	three	three	NUM
fis-3240	170	13	examples	example	NOUN
fis-3240	170	14	.	.	PUNCT
fis-3240	171	1	there	there	PRON
fis-3240	171	2	is	be	VERB
fis-3240	171	3	a	a	DET
fis-3240	171	4	good	good	ADJ
fis-3240	171	5	agreement	agreement	NOUN
fis-3240	171	6	when	when	SCONJ
fis-3240	171	7	comparing	compare	VERB
fis-3240	171	8	three	three	NUM
fis-3240	171	9	algorithms	algorithm	NOUN
fis-3240	171	10	in	in	ADP
fis-3240	171	11	terms	term	NOUN
fis-3240	171	12	of	of	ADP
fis-3240	171	13	the	the	DET
fis-3240	171	14	accuracy	accuracy	NOUN
fis-3240	171	15	and	and	CCONJ
fis-3240	171	16	the	the	DET
fis-3240	171	17	auc	auc	NOUN
fis-3240	171	18	metrics	metric	NOUN
fis-3240	171	19	.	.	PUNCT
fis-3240	172	1	in	in	ADP
fis-3240	172	2	more	more	ADJ
fis-3240	172	3	detail	detail	NOUN
fis-3240	172	4	,	,	PUNCT
fis-3240	172	5	all	all	DET
fis-3240	172	6	svm	svm	PROPN
fis-3240	172	7	,	,	PUNCT
fis-3240	172	8	ann	ann	PROPN
fis-3240	172	9	,	,	PUNCT
fis-3240	172	10	and	and	CCONJ
fis-3240	172	11	adaboost	adaboost	ADV
fis-3240	172	12	obtained	obtain	VERB
fis-3240	172	13	the	the	DET
fis-3240	172	14	auc	auc	NOUN
fis-3240	172	15	close	close	ADV
fis-3240	172	16	to	to	ADP
fis-3240	172	17	one	one	NUM
fis-3240	172	18	for	for	ADP
fis-3240	172	19	the	the	DET
fis-3240	172	20	first	first	ADJ
fis-3240	172	21	two	two	NUM
fis-3240	172	22	problems	problem	NOUN
fis-3240	172	23	.	.	PUNCT
fis-3240	173	1	however	however	ADV
fis-3240	173	2	,	,	PUNCT
fis-3240	173	3	the	the	DET
fis-3240	173	4	svm	svm	PROPN
fis-3240	173	5	and	and	CCONJ
fis-3240	173	6	the	the	DET
fis-3240	173	7	ann	ann	PROPN
fis-3240	173	8	models	model	NOUN
fis-3240	173	9	obtain	obtain	VERB
fis-3240	173	10	the	the	DET
fis-3240	173	11	auc	auc	NOUN
fis-3240	173	12	of	of	ADP
fis-3240	173	13	0.69	0.69	NUM
fis-3240	173	14	while	while	SCONJ
fis-3240	173	15	the	the	DET
fis-3240	173	16	adaboost	adaboost	ADJ
fis-3240	173	17	model	model	NOUN
fis-3240	173	18	achieves	achieve	VERB
fis-3240	173	19	the	the	DET
fis-3240	173	20	auc=0.99	auc=0.99	NOUN
fis-3240	173	21	when	when	SCONJ
fis-3240	173	22	classifying	classify	VERB
fis-3240	173	23	on	on	ADP
fis-3240	173	24	the	the	DET
fis-3240	173	25	47	47	NUM
fis-3240	173	26	-	-	PUNCT
fis-3240	173	27	bar	bar	NOUN
fis-3240	173	28	truss	truss	NOUN
fis-3240	173	29	testing	testing	NOUN
fis-3240	173	30	dataset	dataset	NOUN
fis-3240	173	31	.	.	PUNCT
fis-3240	174	1	t.-h	t.-h	NOUN
fis-3240	174	2	.	.	PUNCT
fis-3240	175	1	nguyen	nguyen	PROPN
fis-3240	175	2	et	et	PROPN
fis-3240	175	3	alii	alii	PROPN
fis-3240	175	4	,	,	PUNCT
fis-3240	175	5	frattura	frattura	PROPN
fis-3240	175	6	ed	ed	PROPN
fis-3240	175	7	integrità	integrità	PROPN
fis-3240	175	8	strutturale	strutturale	PROPN
fis-3240	175	9	,	,	PUNCT
fis-3240	175	10	58	58	NUM
fis-3240	175	11	(	(	PUNCT
fis-3240	175	12	2021	2021	NUM
fis-3240	175	13	)	)	PUNCT
fis-3240	175	14	308	308	NUM
fis-3240	175	15	-	-	SYM
fis-3240	175	16	318	318	NUM
fis-3240	175	17	;	;	PUNCT
fis-3240	175	18	doi	doi	NOUN
fis-3240	175	19	:	:	PUNCT
fis-3240	175	20	10.3221	10.3221	NUM
fis-3240	175	21	/	/	SYM
fis-3240	175	22	igf	igf	PROPN
fis-3240	175	23	-	-	PUNCT
fis-3240	175	24	esis.58.23	esis.58.23	PROPN
fis-3240	175	25	316	316	NUM
fis-3240	175	26	false	false	ADJ
fis-3240	175	27	positive	positive	ADJ
fis-3240	175	28	rate	rate	NOUN
fis-3240	175	29	t	t	PROPN
fis-3240	175	30	ru	ru	PROPN
fis-3240	175	31	e	e	PROPN
fis-3240	175	32	p	p	PROPN
fis-3240	175	33	os	os	PROPN
fis-3240	175	34	iti	iti	PROPN
fis-3240	175	35	ve	ve	NOUN
fis-3240	175	36	r	r	NOUN
fis-3240	175	37	at	at	ADP
fis-3240	175	38	e	e	NOUN
fis-3240	175	39	false	false	ADJ
fis-3240	175	40	positive	positive	ADJ
fis-3240	175	41	rate	rate	NOUN
fis-3240	175	42	t	t	PROPN
fis-3240	175	43	ru	ru	PROPN
fis-3240	175	44	e	e	PROPN
fis-3240	175	45	p	p	PROPN
fis-3240	175	46	os	os	PROPN
fis-3240	175	47	iti	iti	PROPN
fis-3240	176	1	ve	ve	NOUN
fis-3240	176	2	r	r	NOUN
fis-3240	176	3	at	at	ADP
fis-3240	176	4	e	e	NOUN
fis-3240	176	5	false	false	ADJ
fis-3240	176	6	positive	positive	ADJ
fis-3240	176	7	rate	rate	NOUN
fis-3240	176	8	t	t	PROPN
fis-3240	176	9	ru	ru	PROPN
fis-3240	176	10	e	e	PROPN
fis-3240	176	11	p	p	PROPN
fis-3240	176	12	os	os	PROPN
fis-3240	176	13	iti	iti	PROPN
fis-3240	176	14	ve	ve	NOUN
fis-3240	176	15	r	r	NOUN
fis-3240	176	16	at	at	ADP
fis-3240	176	17	e	e	NOUN
fis-3240	176	18	(	(	PUNCT
fis-3240	176	19	a	a	NOUN
fis-3240	176	20	)	)	PUNCT
fis-3240	176	21	(	(	PUNCT
fis-3240	176	22	b	b	X
fis-3240	176	23	)	)	PUNCT
fis-3240	176	24	(	(	PUNCT
fis-3240	176	25	c	c	X
fis-3240	176	26	)	)	PUNCT
fis-3240	176	27	figure	figure	NOUN
fis-3240	176	28	9	9	NUM
fis-3240	176	29	:	:	PUNCT
fis-3240	176	30	roc	roc	PROPN
fis-3240	176	31	curves	curve	NOUN
fis-3240	176	32	of	of	ADP
fis-3240	176	33	three	three	NUM
fis-3240	176	34	ml	ml	NOUN
fis-3240	176	35	algorithms	algorithm	NOUN
fis-3240	176	36	for	for	ADP
fis-3240	176	37	three	three	NUM
fis-3240	176	38	datasets	dataset	NOUN
fis-3240	176	39	.	.	PUNCT
fis-3240	177	1	(	(	PUNCT
fis-3240	177	2	a	a	X
fis-3240	177	3	)	)	PUNCT
fis-3240	177	4	10	10	NUM
fis-3240	177	5	-	-	PUNCT
fis-3240	177	6	bar	bar	NOUN
fis-3240	177	7	truss	truss	NOUN
fis-3240	177	8	–	–	PUNCT
fis-3240	177	9	testing	testing	NOUN
fis-3240	177	10	dataset	dataset	NOUN
fis-3240	177	11	.	.	PUNCT
fis-3240	178	1	(	(	PUNCT
fis-3240	178	2	b	b	X
fis-3240	178	3	)	)	PUNCT
fis-3240	178	4	25	25	NUM
fis-3240	178	5	-	-	PUNCT
fis-3240	178	6	bar	bar	NOUN
fis-3240	178	7	truss	truss	NOUN
fis-3240	178	8	–	–	PUNCT
fis-3240	178	9	testing	testing	NOUN
fis-3240	178	10	dataset	dataset	NOUN
fis-3240	178	11	.	.	PUNCT
fis-3240	179	1	(	(	PUNCT
fis-3240	179	2	c	c	X
fis-3240	179	3	)	)	PUNCT
fis-3240	179	4	47	47	NUM
fis-3240	179	5	-	-	PUNCT
fis-3240	179	6	bar	bar	NOUN
fis-3240	179	7	truss	truss	NOUN
fis-3240	179	8	–	–	PUNCT
fis-3240	179	9	testing	testing	NOUN
fis-3240	179	10	dataset	dataset	NOUN
fis-3240	179	11	.	.	PUNCT
fis-3240	180	1	overall	overall	ADV
fis-3240	180	2	,	,	PUNCT
fis-3240	180	3	it	it	PRON
fis-3240	180	4	can	can	AUX
fis-3240	180	5	be	be	AUX
fis-3240	180	6	noted	note	VERB
fis-3240	180	7	that	that	SCONJ
fis-3240	180	8	for	for	ADP
fis-3240	180	9	problems	problem	NOUN
fis-3240	180	10	with	with	ADP
fis-3240	180	11	a	a	DET
fis-3240	180	12	small	small	ADJ
fis-3240	180	13	number	number	NOUN
fis-3240	180	14	of	of	ADP
fis-3240	180	15	features	feature	NOUN
fis-3240	180	16	,	,	PUNCT
fis-3240	180	17	all	all	DET
fis-3240	180	18	three	three	NUM
fis-3240	180	19	algorithms	algorithm	NOUN
fis-3240	180	20	give	give	VERB
fis-3240	180	21	accurate	accurate	ADJ
fis-3240	180	22	results	result	NOUN
fis-3240	180	23	.	.	PUNCT
fis-3240	181	1	but	but	CCONJ
fis-3240	181	2	for	for	ADP
fis-3240	181	3	problems	problem	NOUN
fis-3240	181	4	having	have	VERB
fis-3240	181	5	a	a	DET
fis-3240	181	6	large	large	ADJ
fis-3240	181	7	number	number	NOUN
fis-3240	181	8	of	of	ADP
fis-3240	181	9	features	feature	NOUN
fis-3240	181	10	,	,	PUNCT
fis-3240	181	11	the	the	DET
fis-3240	181	12	adaboost	adaboost	ADJ
fis-3240	181	13	algorithm	algorithm	NOUN
fis-3240	181	14	outperforms	outperform	VERB
fis-3240	181	15	the	the	DET
fis-3240	181	16	two	two	NUM
fis-3240	181	17	remaining	remain	VERB
fis-3240	181	18	algorithms	algorithm	NOUN
fis-3240	181	19	.	.	PUNCT
fis-3240	182	1	model	model	NOUN
fis-3240	182	2	performance	performance	NOUN
fis-3240	182	3	analysis	analysis	NOUN
fis-3240	182	4	ne	ne	NOUN
fis-3240	182	5	of	of	ADP
fis-3240	182	6	the	the	DET
fis-3240	182	7	most	most	ADV
fis-3240	182	8	important	important	ADJ
fis-3240	182	9	parts	part	NOUN
fis-3240	182	10	when	when	SCONJ
fis-3240	182	11	building	build	VERB
fis-3240	182	12	an	an	DET
fis-3240	182	13	ml	ml	NOUN
fis-3240	182	14	model	model	NOUN
fis-3240	182	15	is	be	AUX
fis-3240	182	16	the	the	DET
fis-3240	182	17	training	training	NOUN
fis-3240	182	18	data	datum	NOUN
fis-3240	182	19	.	.	PUNCT
fis-3240	183	1	in	in	ADP
fis-3240	183	2	this	this	DET
fis-3240	183	3	study	study	NOUN
fis-3240	183	4	,	,	PUNCT
fis-3240	183	5	data	datum	NOUN
fis-3240	183	6	is	be	AUX
fis-3240	183	7	collected	collect	VERB
fis-3240	183	8	through	through	ADP
fis-3240	183	9	conducting	conduct	VERB
fis-3240	183	10	a	a	DET
fis-3240	183	11	parametric	parametric	ADJ
fis-3240	183	12	finite	finite	ADJ
fis-3240	183	13	element	element	NOUN
fis-3240	183	14	analysis	analysis	NOUN
fis-3240	183	15	(	(	PUNCT
fis-3240	183	16	fea	fea	NOUN
fis-3240	183	17	)	)	PUNCT
fis-3240	183	18	.	.	PUNCT
fis-3240	184	1	for	for	ADP
fis-3240	184	2	large	large	ADJ
fis-3240	184	3	-	-	PUNCT
fis-3240	184	4	scale	scale	NOUN
fis-3240	184	5	structures	structure	NOUN
fis-3240	184	6	,	,	PUNCT
fis-3240	184	7	each	each	DET
fis-3240	184	8	fea	fea	NOUN
fis-3240	184	9	consumes	consume	VERB
fis-3240	184	10	several	several	ADJ
fis-3240	184	11	hours	hour	NOUN
fis-3240	184	12	or	or	CCONJ
fis-3240	184	13	days	day	NOUN
fis-3240	184	14	.	.	PUNCT
fis-3240	185	1	performing	perform	VERB
fis-3240	185	2	a	a	DET
fis-3240	185	3	large	large	ADJ
fis-3240	185	4	number	number	NOUN
fis-3240	185	5	of	of	ADP
fis-3240	185	6	feas	feas	PROPN
fis-3240	185	7	leads	lead	VERB
fis-3240	185	8	to	to	ADP
fis-3240	185	9	time	time	NOUN
fis-3240	185	10	-	-	PUNCT
fis-3240	185	11	consuming	consume	VERB
fis-3240	185	12	.	.	PUNCT
fis-3240	186	1	therefore	therefore	ADV
fis-3240	186	2	,	,	PUNCT
fis-3240	186	3	in	in	ADP
fis-3240	186	4	this	this	DET
fis-3240	186	5	section	section	NOUN
fis-3240	186	6	,	,	PUNCT
fis-3240	186	7	the	the	DET
fis-3240	186	8	influence	influence	NOUN
fis-3240	186	9	of	of	ADP
fis-3240	186	10	the	the	DET
fis-3240	186	11	number	number	NOUN
fis-3240	186	12	of	of	ADP
fis-3240	186	13	samples	sample	NOUN
fis-3240	186	14	of	of	ADP
fis-3240	186	15	the	the	DET
fis-3240	186	16	training	training	NOUN
fis-3240	186	17	dataset	dataset	NOUN
fis-3240	186	18	is	be	AUX
fis-3240	186	19	investigated	investigate	VERB
fis-3240	186	20	.	.	PUNCT
fis-3240	187	1	besides	besides	SCONJ
fis-3240	187	2	,	,	PUNCT
fis-3240	187	3	the	the	DET
fis-3240	187	4	performance	performance	NOUN
fis-3240	187	5	of	of	ADP
fis-3240	187	6	the	the	DET
fis-3240	187	7	adaboost	adaboost	ADJ
fis-3240	187	8	model	model	NOUN
fis-3240	187	9	strongly	strongly	ADV
fis-3240	187	10	depends	depend	VERB
fis-3240	187	11	on	on	ADP
fis-3240	187	12	the	the	DET
fis-3240	187	13	number	number	NOUN
fis-3240	187	14	of	of	ADP
fis-3240	187	15	base	base	NOUN
fis-3240	187	16	classifiers	classifier	NOUN
fis-3240	187	17	.	.	PUNCT
fis-3240	188	1	thus	thus	ADV
fis-3240	188	2	,	,	PUNCT
fis-3240	188	3	the	the	DET
fis-3240	188	4	influence	influence	NOUN
fis-3240	188	5	of	of	ADP
fis-3240	188	6	the	the	DET
fis-3240	188	7	number	number	NOUN
fis-3240	188	8	of	of	ADP
fis-3240	188	9	base	base	NOUN
fis-3240	188	10	classifiers	classifier	NOUN
fis-3240	188	11	is	be	AUX
fis-3240	188	12	also	also	ADV
fis-3240	188	13	considered	consider	VERB
fis-3240	188	14	in	in	ADP
fis-3240	188	15	this	this	DET
fis-3240	188	16	section	section	NOUN
fis-3240	188	17	.	.	PUNCT
fis-3240	189	1	figure	figure	NOUN
fis-3240	189	2	10	10	NUM
fis-3240	189	3	:	:	PUNCT
fis-3240	189	4	the	the	DET
fis-3240	189	5	influence	influence	NOUN
fis-3240	189	6	of	of	ADP
fis-3240	189	7	the	the	DET
fis-3240	189	8	training	training	NOUN
fis-3240	189	9	dataset	dataset	NOUN
fis-3240	189	10	amount	amount	NOUN
fis-3240	189	11	on	on	ADP
fis-3240	189	12	the	the	DET
fis-3240	189	13	performance	performance	NOUN
fis-3240	189	14	of	of	ADP
fis-3240	189	15	the	the	DET
fis-3240	189	16	adaboost	adaboost	ADJ
fis-3240	189	17	model	model	NOUN
fis-3240	189	18	.	.	PUNCT
fis-3240	190	1	influence	influence	NOUN
fis-3240	190	2	of	of	ADP
fis-3240	190	3	the	the	DET
fis-3240	190	4	training	training	NOUN
fis-3240	190	5	dataset	dataset	NOUN
fis-3240	190	6	amount	amount	NOUN
fis-3240	190	7	  	  	SPACE
fis-3240	190	8	to	to	PART
fis-3240	190	9	investigate	investigate	VERB
fis-3240	190	10	the	the	DET
fis-3240	190	11	influence	influence	NOUN
fis-3240	190	12	of	of	ADP
fis-3240	190	13	the	the	DET
fis-3240	190	14	training	training	NOUN
fis-3240	190	15	dataset	dataset	NOUN
fis-3240	190	16	amount	amount	NOUN
fis-3240	190	17	,	,	PUNCT
fis-3240	190	18	seven	seven	NUM
fis-3240	190	19	training	training	NOUN
fis-3240	190	20	datasets	dataset	NOUN
fis-3240	190	21	of	of	ADP
fis-3240	190	22	the	the	DET
fis-3240	190	23	47	47	NUM
fis-3240	190	24	-	-	PUNCT
fis-3240	190	25	bar	bar	NOUN
fis-3240	190	26	truss	truss	NOUN
fis-3240	190	27	problem	problem	NOUN
fis-3240	190	28	are	be	AUX
fis-3240	190	29	generated	generate	VERB
fis-3240	190	30	.	.	PUNCT
fis-3240	191	1	the	the	DET
fis-3240	191	2	numbers	number	NOUN
fis-3240	191	3	of	of	ADP
fis-3240	191	4	samples	sample	NOUN
fis-3240	191	5	of	of	ADP
fis-3240	191	6	seven	seven	NUM
fis-3240	191	7	datasets	dataset	NOUN
fis-3240	191	8	are	be	AUX
fis-3240	191	9	100	100	NUM
fis-3240	191	10	,	,	PUNCT
fis-3240	191	11	250	250	NUM
fis-3240	191	12	,	,	PUNCT
fis-3240	191	13	500	500	NUM
fis-3240	191	14	,	,	PUNCT
fis-3240	191	15	1000	1000	NUM
fis-3240	191	16	,	,	PUNCT
fis-3240	191	17	2500	2500	NUM
fis-3240	191	18	,	,	PUNCT
fis-3240	191	19	5000	5000	NUM
fis-3240	191	20	,	,	PUNCT
fis-3240	191	21	and	and	CCONJ
fis-3240	191	22	10000	10000	NUM
fis-3240	191	23	,	,	PUNCT
fis-3240	191	24	respectively	respectively	ADV
fis-3240	191	25	.	.	PUNCT
fis-3240	192	1	the	the	DET
fis-3240	192	2	amount	amount	NOUN
fis-3240	192	3	of	of	ADP
fis-3240	192	4	the	the	DET
fis-3240	192	5	testing	testing	NOUN
fis-3240	192	6	dataset	dataset	NOUN
fis-3240	192	7	remains	remain	VERB
fis-3240	192	8	1000	1000	NUM
fis-3240	192	9	samples	sample	NOUN
fis-3240	192	10	.	.	PUNCT
fis-3240	193	1	the	the	DET
fis-3240	193	2	accuracies	accuracy	NOUN
fis-3240	193	3	of	of	ADP
fis-3240	193	4	seven	seven	NUM
fis-3240	193	5	adaboost	adaboost	ADJ
fis-3240	193	6	models	model	NOUN
fis-3240	193	7	are	be	AUX
fis-3240	193	8	shown	show	VERB
fis-3240	193	9	in	in	ADP
fis-3240	193	10	fig	fig	NOUN
fis-3240	193	11	.	.	PUNCT
fis-3240	194	1	10	10	NUM
fis-3240	194	2	.	.	PUNCT
fis-3240	195	1	it	it	PRON
fis-3240	195	2	can	can	AUX
fis-3240	195	3	be	be	AUX
fis-3240	195	4	observed	observe	VERB
fis-3240	195	5	that	that	SCONJ
fis-3240	195	6	the	the	DET
fis-3240	195	7	accuracy	accuracy	NOUN
fis-3240	195	8	of	of	ADP
fis-3240	195	9	the	the	DET
fis-3240	195	10	classification	classification	NOUN
fis-3240	195	11	model	model	NOUN
fis-3240	195	12	significantly	significantly	ADV
fis-3240	195	13	improves	improve	VERB
fis-3240	195	14	when	when	SCONJ
fis-3240	195	15	increasing	increase	VERB
fis-3240	195	16	the	the	DET
fis-3240	195	17	number	number	NOUN
fis-3240	195	18	of	of	ADP
fis-3240	195	19	samples	sample	NOUN
fis-3240	195	20	from	from	ADP
fis-3240	195	21	100	100	NUM
fis-3240	195	22	to	to	PART
fis-3240	195	23	250	250	NUM
fis-3240	195	24	(	(	PUNCT
fis-3240	195	25	0.669	0.669	NUM
fis-3240	195	26	for	for	ADP
fis-3240	195	27	100	100	NUM
fis-3240	195	28	samples	sample	NOUN
fis-3240	195	29	and	and	CCONJ
fis-3240	195	30	0.876	0.876	NUM
fis-3240	195	31	for	for	ADP
fis-3240	195	32	250	250	NUM
fis-3240	195	33	samples	sample	NOUN
fis-3240	195	34	)	)	PUNCT
fis-3240	195	35	.	.	PUNCT
fis-3240	196	1	when	when	SCONJ
fis-3240	196	2	augmenting	augment	VERB
fis-3240	196	3	the	the	DET
fis-3240	196	4	training	training	NOUN
fis-3240	196	5	dataset	dataset	VERB
fis-3240	196	6	to	to	ADP
fis-3240	196	7	500	500	NUM
fis-3240	196	8	samples	sample	NOUN
fis-3240	196	9	,	,	PUNCT
fis-3240	196	10	the	the	DET
fis-3240	196	11	accuracy	accuracy	NOUN
fis-3240	196	12	achieves	achieve	VERB
fis-3240	196	13	0.923	0.923	NUM
fis-3240	196	14	.	.	PUNCT
fis-3240	197	1	the	the	DET
fis-3240	197	2	accuracies	accuracy	NOUN
fis-3240	197	3	for	for	ADP
fis-3240	197	4	1000	1000	NUM
fis-3240	197	5	,	,	PUNCT
fis-3240	197	6	2500	2500	NUM
fis-3240	197	7	,	,	PUNCT
fis-3240	197	8	5000	5000	NUM
fis-3240	197	9	,	,	PUNCT
fis-3240	197	10	10000	10000	NUM
fis-3240	197	11	samples	sample	NOUN
fis-3240	197	12	are	be	AUX
fis-3240	197	13	0.976	0.976	NUM
fis-3240	197	14	,	,	PUNCT
fis-3240	197	15	0.986	0.986	NUM
fis-3240	197	16	,	,	PUNCT
fis-3240	197	17	0.988	0.988	NUM
fis-3240	197	18	,	,	PUNCT
fis-3240	197	19	0.991	0.991	NUM
fis-3240	197	20	,	,	PUNCT
fis-3240	197	21	respectively	respectively	ADV
fis-3240	197	22	.	.	PUNCT
fis-3240	198	1	generally	generally	ADV
fis-3240	198	2	,	,	PUNCT
fis-3240	198	3	the	the	DET
fis-3240	198	4	number	number	NOUN
fis-3240	198	5	of	of	ADP
fis-3240	198	6	1000	1000	NUM
fis-3240	198	7	samples	sample	NOUN
fis-3240	198	8	is	be	AUX
fis-3240	198	9	a	a	DET
fis-3240	198	10	good	good	ADJ
fis-3240	198	11	choice	choice	NOUN
fis-3240	198	12	when	when	SCONJ
fis-3240	198	13	balancing	balance	VERB
fis-3240	198	14	the	the	DET
fis-3240	198	15	accuracy	accuracy	NOUN
fis-3240	198	16	and	and	CCONJ
fis-3240	198	17	the	the	DET
fis-3240	198	18	quantity	quantity	NOUN
fis-3240	198	19	of	of	ADP
fis-3240	198	20	the	the	DET
fis-3240	198	21	training	training	NOUN
fis-3240	198	22	data	datum	NOUN
fis-3240	198	23	.	.	PUNCT
fis-3240	199	1	influence	influence	NOUN
fis-3240	199	2	of	of	ADP
fis-3240	199	3	the	the	DET
fis-3240	199	4	number	number	NOUN
fis-3240	199	5	of	of	ADP
fis-3240	199	6	base	base	NOUN
fis-3240	199	7	classifiers	classifier	NOUN
fis-3240	199	8	an	an	DET
fis-3240	199	9	important	important	ADJ
fis-3240	199	10	key	key	ADJ
fis-3240	199	11	factor	factor	NOUN
fis-3240	199	12	of	of	ADP
fis-3240	199	13	an	an	DET
fis-3240	199	14	ensemble	ensemble	ADJ
fis-3240	199	15	model	model	NOUN
fis-3240	199	16	is	be	AUX
fis-3240	199	17	the	the	DET
fis-3240	199	18	number	number	NOUN
fis-3240	199	19	of	of	ADP
fis-3240	199	20	base	base	NOUN
fis-3240	199	21	classifiers	classifier	NOUN
fis-3240	199	22	used	use	VERB
fis-3240	199	23	in	in	ADP
fis-3240	199	24	this	this	DET
fis-3240	199	25	model	model	NOUN
fis-3240	199	26	.	.	PUNCT
fis-3240	200	1	in	in	ADP
fis-3240	200	2	this	this	DET
fis-3240	200	3	study	study	NOUN
fis-3240	200	4	,	,	PUNCT
fis-3240	200	5	six	six	NUM
fis-3240	200	6	adaboost	adaboost	ADJ
fis-3240	200	7	models	model	NOUN
fis-3240	200	8	are	be	AUX
fis-3240	200	9	compared	compare	VERB
fis-3240	200	10	where	where	SCONJ
fis-3240	200	11	the	the	DET
fis-3240	200	12	numbers	number	NOUN
fis-3240	200	13	of	of	ADP
fis-3240	200	14	base	base	NOUN
fis-3240	200	15	classifiers	classifier	NOUN
fis-3240	200	16	are	be	AUX
fis-3240	200	17	5	5	NUM
fis-3240	200	18	,	,	PUNCT
fis-3240	200	19	10	10	NUM
fis-3240	200	20	,	,	PUNCT
fis-3240	200	21	50	50	NUM
fis-3240	200	22	,	,	PUNCT
fis-3240	200	23	100	100	NUM
fis-3240	200	24	,	,	PUNCT
fis-3240	200	25	500	500	NUM
fis-3240	200	26	,	,	PUNCT
fis-3240	200	27	and	and	CCONJ
fis-3240	200	28	1000	1000	NUM
fis-3240	200	29	,	,	PUNCT
fis-3240	200	30	respectively	respectively	ADV
fis-3240	200	31	.	.	PUNCT
fis-3240	201	1	these	these	DET
fis-3240	201	2	o	o	NOUN
fis-3240	201	3	t.-h	t.-h	NOUN
fis-3240	201	4	.	.	PUNCT
fis-3240	202	1	nguyen	nguyen	PROPN
fis-3240	202	2	et	et	PROPN
fis-3240	202	3	alii	alii	PROPN
fis-3240	202	4	,	,	PUNCT
fis-3240	202	5	frattura	frattura	PROPN
fis-3240	202	6	ed	ed	PROPN
fis-3240	202	7	integrità	integrità	PROPN
fis-3240	202	8	strutturale	strutturale	PROPN
fis-3240	202	9	,	,	PUNCT
fis-3240	202	10	58	58	NUM
fis-3240	202	11	(	(	PUNCT
fis-3240	202	12	2021	2021	NUM
fis-3240	202	13	)	)	PUNCT
fis-3240	202	14	308	308	NUM
fis-3240	202	15	-	-	SYM
fis-3240	202	16	318	318	NUM
fis-3240	202	17	;	;	PUNCT
fis-3240	202	18	doi	doi	NOUN
fis-3240	202	19	:	:	PUNCT
fis-3240	202	20	10.3221	10.3221	NUM
fis-3240	202	21	/	/	SYM
fis-3240	202	22	igf	igf	PROPN
fis-3240	202	23	-	-	PUNCT
fis-3240	202	24	esis.58.23	esis.58.23	PROPN
fis-3240	202	25	317	317	NUM
fis-3240	202	26	models	model	NOUN
fis-3240	202	27	are	be	AUX
fis-3240	202	28	trained	train	VERB
fis-3240	202	29	by	by	ADP
fis-3240	202	30	the	the	DET
fis-3240	202	31	same	same	ADJ
fis-3240	202	32	47	47	NUM
fis-3240	202	33	-	-	PUNCT
fis-3240	202	34	bar	bar	NOUN
fis-3240	202	35	truss	truss	NOUN
fis-3240	202	36	training	training	NOUN
fis-3240	202	37	dataset	dataset	NOUN
fis-3240	202	38	of	of	ADP
fis-3240	202	39	1000	1000	NUM
fis-3240	202	40	samples	sample	NOUN
fis-3240	202	41	.	.	PUNCT
fis-3240	203	1	the	the	DET
fis-3240	203	2	prediction	prediction	NOUN
fis-3240	203	3	results	result	VERB
fis-3240	203	4	on	on	ADP
fis-3240	203	5	the	the	DET
fis-3240	203	6	47	47	NUM
fis-3240	203	7	-	-	PUNCT
fis-3240	203	8	bar	bar	NOUN
fis-3240	203	9	truss	truss	NOUN
fis-3240	203	10	testing	testing	NOUN
fis-3240	203	11	dataset	dataset	NOUN
fis-3240	203	12	are	be	AUX
fis-3240	203	13	presented	present	VERB
fis-3240	203	14	in	in	ADP
fis-3240	203	15	fig	fig	NOUN
fis-3240	203	16	.	.	PUNCT
fis-3240	204	1	11	11	NUM
fis-3240	204	2	.	.	PUNCT
fis-3240	205	1	it	it	PRON
fis-3240	205	2	can	can	AUX
fis-3240	205	3	be	be	AUX
fis-3240	205	4	clearly	clearly	ADV
fis-3240	205	5	seen	see	VERB
fis-3240	205	6	that	that	SCONJ
fis-3240	205	7	the	the	DET
fis-3240	205	8	accuracy	accuracy	NOUN
fis-3240	205	9	of	of	ADP
fis-3240	205	10	the	the	DET
fis-3240	205	11	adaboost	adaboost	ADJ
fis-3240	205	12	model	model	NOUN
fis-3240	205	13	is	be	AUX
fis-3240	205	14	greatly	greatly	ADV
fis-3240	205	15	enhanced	enhance	VERB
fis-3240	205	16	when	when	SCONJ
fis-3240	205	17	extending	extend	VERB
fis-3240	205	18	the	the	DET
fis-3240	205	19	number	number	NOUN
fis-3240	205	20	of	of	ADP
fis-3240	205	21	base	base	NOUN
fis-3240	205	22	classifiers	classifier	NOUN
fis-3240	205	23	from	from	ADP
fis-3240	205	24	5	5	NUM
fis-3240	205	25	to	to	ADP
fis-3240	205	26	50	50	NUM
fis-3240	205	27	.	.	PUNCT
fis-3240	206	1	however	however	ADV
fis-3240	206	2	,	,	PUNCT
fis-3240	206	3	when	when	SCONJ
fis-3240	206	4	increasing	increase	VERB
fis-3240	206	5	the	the	DET
fis-3240	206	6	number	number	NOUN
fis-3240	206	7	of	of	ADP
fis-3240	206	8	base	base	NOUN
fis-3240	206	9	classifiers	classifier	NOUN
fis-3240	206	10	from	from	ADP
fis-3240	206	11	50	50	NUM
fis-3240	206	12	to	to	ADP
fis-3240	206	13	1000	1000	NUM
fis-3240	206	14	,	,	PUNCT
fis-3240	206	15	the	the	DET
fis-3240	206	16	model	model	NOUN
fis-3240	206	17	quality	quality	NOUN
fis-3240	206	18	does	do	AUX
fis-3240	206	19	not	not	PART
fis-3240	206	20	improve	improve	VERB
fis-3240	206	21	.	.	PUNCT
fis-3240	207	1	figure	figure	VERB
fis-3240	207	2	11	11	NUM
fis-3240	207	3	:	:	PUNCT
fis-3240	207	4	the	the	DET
fis-3240	207	5	influence	influence	NOUN
fis-3240	207	6	of	of	ADP
fis-3240	207	7	the	the	DET
fis-3240	207	8	number	number	NOUN
fis-3240	207	9	of	of	ADP
fis-3240	207	10	base	base	NOUN
fis-3240	207	11	classifiers	classifier	NOUN
fis-3240	207	12	on	on	ADP
fis-3240	207	13	the	the	DET
fis-3240	207	14	performance	performance	NOUN
fis-3240	207	15	of	of	ADP
fis-3240	207	16	the	the	DET
fis-3240	207	17	adaboost	adaboost	ADJ
fis-3240	207	18	model	model	NOUN
fis-3240	207	19	.	.	PUNCT
fis-3240	208	1	conclusions	conclusion	NOUN
fis-3240	208	2	he	he	PRON
fis-3240	208	3	rapid	rapid	ADJ
fis-3240	208	4	evaluation	evaluation	NOUN
fis-3240	208	5	of	of	ADP
fis-3240	208	6	the	the	DET
fis-3240	208	7	structural	structural	ADJ
fis-3240	208	8	safety	safety	NOUN
fis-3240	208	9	state	state	NOUN
fis-3240	208	10	is	be	AUX
fis-3240	208	11	an	an	DET
fis-3240	208	12	important	important	ADJ
fis-3240	208	13	task	task	NOUN
fis-3240	208	14	for	for	ADP
fis-3240	208	15	escaping	escape	VERB
fis-3240	208	16	people	people	NOUN
fis-3240	208	17	when	when	SCONJ
fis-3240	208	18	a	a	DET
fis-3240	208	19	hazard	hazard	NOUN
fis-3240	208	20	occurs	occur	VERB
fis-3240	208	21	.	.	PUNCT
fis-3240	209	1	in	in	ADP
fis-3240	209	2	this	this	DET
fis-3240	209	3	study	study	NOUN
fis-3240	209	4	,	,	PUNCT
fis-3240	209	5	three	three	NUM
fis-3240	209	6	machine	machine	NOUN
fis-3240	209	7	learning	learn	VERB
fis-3240	209	8	algorithms	algorithm	NOUN
fis-3240	209	9	including	include	VERB
fis-3240	209	10	support	support	NOUN
fis-3240	209	11	vector	vector	NOUN
fis-3240	209	12	machine	machine	NOUN
fis-3240	209	13	,	,	PUNCT
fis-3240	209	14	artificial	artificial	ADJ
fis-3240	209	15	neural	neural	ADJ
fis-3240	209	16	network	network	NOUN
fis-3240	209	17	,	,	PUNCT
fis-3240	209	18	and	and	CCONJ
fis-3240	209	19	adaptive	adaptive	ADJ
fis-3240	209	20	boosting	boosting	NOUN
fis-3240	209	21	are	be	AUX
fis-3240	209	22	used	use	VERB
fis-3240	209	23	to	to	PART
fis-3240	209	24	identify	identify	VERB
fis-3240	209	25	the	the	DET
fis-3240	209	26	safety	safety	NOUN
fis-3240	209	27	state	state	NOUN
fis-3240	209	28	of	of	ADP
fis-3240	209	29	truss	truss	ADJ
fis-3240	209	30	structures	structure	NOUN
fis-3240	209	31	.	.	PUNCT
fis-3240	210	1	the	the	DET
fis-3240	210	2	results	result	NOUN
fis-3240	210	3	of	of	ADP
fis-3240	210	4	the	the	DET
fis-3240	210	5	present	present	ADJ
fis-3240	210	6	work	work	NOUN
fis-3240	210	7	demonstrate	demonstrate	VERB
fis-3240	210	8	the	the	DET
fis-3240	210	9	potential	potential	ADJ
fis-3240	210	10	application	application	NOUN
fis-3240	210	11	of	of	ADP
fis-3240	210	12	machine	machine	NOUN
fis-3240	210	13	learning	learn	VERB
fis-3240	210	14	for	for	ADP
fis-3240	210	15	structural	structural	ADJ
fis-3240	210	16	safety	safety	NOUN
fis-3240	210	17	evaluation	evaluation	NOUN
fis-3240	210	18	.	.	PUNCT
fis-3240	211	1	the	the	DET
fis-3240	211	2	comparative	comparative	ADJ
fis-3240	211	3	study	study	NOUN
fis-3240	211	4	indicates	indicate	VERB
fis-3240	211	5	that	that	SCONJ
fis-3240	211	6	all	all	DET
fis-3240	211	7	three	three	NUM
fis-3240	211	8	algorithms	algorithm	NOUN
fis-3240	211	9	achieve	achieve	VERB
fis-3240	211	10	high	high	ADJ
fis-3240	211	11	accuracy	accuracy	NOUN
fis-3240	211	12	(	(	PUNCT
fis-3240	211	13	over	over	ADP
fis-3240	211	14	90	90	NUM
fis-3240	211	15	%	%	NOUN
fis-3240	211	16	)	)	PUNCT
fis-3240	211	17	for	for	ADP
fis-3240	211	18	small	small	ADJ
fis-3240	211	19	-	-	PUNCT
fis-3240	211	20	scale	scale	NOUN
fis-3240	211	21	structures	structure	NOUN
fis-3240	211	22	with	with	ADP
fis-3240	211	23	few	few	ADJ
fis-3240	211	24	input	input	NOUN
fis-3240	211	25	features	feature	NOUN
fis-3240	211	26	.	.	PUNCT
fis-3240	212	1	however	however	ADV
fis-3240	212	2	,	,	PUNCT
fis-3240	212	3	for	for	ADP
fis-3240	212	4	large	large	ADJ
fis-3240	212	5	-	-	PUNCT
fis-3240	212	6	scale	scale	NOUN
fis-3240	212	7	structures	structure	NOUN
fis-3240	212	8	having	have	VERB
fis-3240	212	9	many	many	ADJ
fis-3240	212	10	input	input	NOUN
fis-3240	212	11	features	feature	NOUN
fis-3240	212	12	,	,	PUNCT
fis-3240	212	13	the	the	DET
fis-3240	212	14	adaboost	adaboost	ADJ
fis-3240	212	15	algorithm	algorithm	NOUN
fis-3240	212	16	exhibits	exhibit	VERB
fis-3240	212	17	a	a	DET
fis-3240	212	18	strong	strong	ADJ
fis-3240	212	19	ability	ability	NOUN
fis-3240	212	20	in	in	ADP
fis-3240	212	21	comparison	comparison	NOUN
fis-3240	212	22	with	with	ADP
fis-3240	212	23	other	other	ADJ
fis-3240	212	24	algorithms	algorithm	NOUN
fis-3240	212	25	(	(	PUNCT
fis-3240	212	26	over	over	ADP
fis-3240	212	27	95	95	NUM
fis-3240	212	28	%	%	NOUN
fis-3240	212	29	for	for	ADP
fis-3240	212	30	the	the	DET
fis-3240	212	31	adaboost	adaboost	ADJ
fis-3240	212	32	,	,	PUNCT
fis-3240	212	33	about	about	ADV
fis-3240	212	34	65	65	NUM
fis-3240	212	35	%	%	NOUN
fis-3240	212	36	for	for	ADP
fis-3240	212	37	both	both	CCONJ
fis-3240	212	38	the	the	DET
fis-3240	212	39	svm	svm	PROPN
fis-3240	212	40	and	and	CCONJ
fis-3240	212	41	the	the	DET
fis-3240	212	42	ann	ann	PROPN
fis-3240	212	43	)	)	PUNCT
fis-3240	212	44	.	.	PUNCT
fis-3240	213	1	additionally	additionally	ADV
fis-3240	213	2	,	,	PUNCT
fis-3240	213	3	an	an	DET
fis-3240	213	4	investigation	investigation	NOUN
fis-3240	213	5	on	on	ADP
fis-3240	213	6	the	the	DET
fis-3240	213	7	influence	influence	NOUN
fis-3240	213	8	of	of	ADP
fis-3240	213	9	the	the	DET
fis-3240	213	10	training	training	NOUN
fis-3240	213	11	dataset	dataset	NOUN
fis-3240	213	12	size	size	NOUN
fis-3240	213	13	and	and	CCONJ
fis-3240	213	14	the	the	DET
fis-3240	213	15	number	number	NOUN
fis-3240	213	16	of	of	ADP
fis-3240	213	17	base	base	NOUN
fis-3240	213	18	classifiers	classifier	NOUN
fis-3240	213	19	is	be	AUX
fis-3240	213	20	implemented	implement	VERB
fis-3240	213	21	.	.	PUNCT
fis-3240	214	1	the	the	DET
fis-3240	214	2	results	result	NOUN
fis-3240	214	3	of	of	ADP
fis-3240	214	4	the	the	DET
fis-3240	214	5	investigation	investigation	NOUN
fis-3240	214	6	provide	provide	VERB
fis-3240	214	7	a	a	DET
fis-3240	214	8	good	good	ADJ
fis-3240	214	9	suggestion	suggestion	NOUN
fis-3240	214	10	when	when	SCONJ
fis-3240	214	11	developing	develop	VERB
fis-3240	214	12	machine	machine	NOUN
fis-3240	214	13	learning	learning	NOUN
fis-3240	214	14	models	model	NOUN
fis-3240	214	15	later	later	ADV
fis-3240	214	16	.	.	PUNCT
fis-3240	215	1	in	in	ADP
fis-3240	215	2	the	the	DET
fis-3240	215	3	future	future	NOUN
fis-3240	215	4	,	,	PUNCT
fis-3240	215	5	the	the	DET
fis-3240	215	6	study	study	NOUN
fis-3240	215	7	can	can	AUX
fis-3240	215	8	be	be	AUX
fis-3240	215	9	extended	extend	VERB
fis-3240	215	10	to	to	ADP
fis-3240	215	11	other	other	ADJ
fis-3240	215	12	structures	structure	NOUN
fis-3240	215	13	such	such	ADJ
fis-3240	215	14	as	as	ADP
fis-3240	215	15	frames	frame	NOUN
fis-3240	215	16	,	,	PUNCT
fis-3240	215	17	dams	dam	NOUN
fis-3240	215	18	,	,	PUNCT
fis-3240	215	19	etc	etc	X
fis-3240	215	20	.	.	X
fis-3240	215	21	acknowledgment	acknowledgment	NOUN
fis-3240	215	22	he	he	PRON
fis-3240	215	23	first	first	ADJ
fis-3240	215	24	author	author	NOUN
fis-3240	215	25	t.-h	t.-h	NOUN
fis-3240	215	26	.	.	PUNCT
fis-3240	216	1	nguyen	nguyen	PROPN
fis-3240	216	2	was	be	AUX
fis-3240	216	3	funded	fund	VERB
fis-3240	216	4	by	by	ADP
fis-3240	216	5	vingroup	vingroup	NOUN
fis-3240	216	6	joint	joint	ADJ
fis-3240	216	7	stock	stock	NOUN
fis-3240	216	8	company	company	NOUN
fis-3240	216	9	and	and	CCONJ
fis-3240	216	10	supported	support	VERB
fis-3240	216	11	by	by	ADP
fis-3240	216	12	the	the	DET
fis-3240	216	13	domestic	domestic	ADJ
fis-3240	216	14	ph.d	ph.d	PROPN
fis-3240	216	15	.	.	PUNCT
fis-3240	217	1	scholarship	scholarship	NOUN
fis-3240	217	2	programme	programme	NOUN
fis-3240	217	3	of	of	ADP
fis-3240	217	4	vingroup	vingroup	NOUN
fis-3240	217	5	innovation	innovation	NOUN
fis-3240	217	6	foundation	foundation	PROPN
fis-3240	217	7	(	(	PUNCT
fis-3240	217	8	vinif	vinif	NOUN
fis-3240	217	9	)	)	PUNCT
fis-3240	217	10	,	,	PUNCT
fis-3240	217	11	vingroup	vingroup	NOUN
fis-3240	217	12	big	big	ADJ
fis-3240	217	13	data	data	PROPN
fis-3240	217	14	institute	institute	PROPN
fis-3240	217	15	(	(	PUNCT
fis-3240	217	16	vinbigdata	vinbigdata	PROPN
fis-3240	217	17	)	)	PUNCT
fis-3240	217	18	code	code	PROPN
fis-3240	217	19	vinif.2020.ts.134	vinif.2020.ts.134	PROPN
fis-3240	217	20	.	.	PUNCT
fis-3240	218	1	references	reference	NOUN
fis-3240	218	2	[	[	X
fis-3240	218	3	1	1	NUM
fis-3240	218	4	]	]	X
fis-3240	218	5	capozucca	capozucca	PROPN
fis-3240	218	6	,	,	PUNCT
fis-3240	218	7	r.	r.	PROPN
fis-3240	218	8	and	and	CCONJ
fis-3240	218	9	bonci	bonci	PROPN
fis-3240	218	10	,	,	PUNCT
fis-3240	218	11	b.	b.	PROPN
fis-3240	218	12	(	(	PUNCT
fis-3240	218	13	2015	2015	NUM
fis-3240	218	14	)	)	PUNCT
fis-3240	218	15	.	.	PUNCT
fis-3240	219	1	notched	notch	VERB
fis-3240	219	2	cfrp	cfrp	NOUN
fis-3240	219	3	laminates	laminate	NOUN
fis-3240	219	4	under	under	ADP
fis-3240	219	5	vibration	vibration	NOUN
fis-3240	219	6	.	.	PUNCT
fis-3240	220	1	composite	composite	ADJ
fis-3240	220	2	structures	structure	NOUN
fis-3240	220	3	,	,	PUNCT
fis-3240	220	4	122	122	NUM
fis-3240	220	5	,	,	PUNCT
fis-3240	220	6	pp.367	pp.367	PROPN
fis-3240	220	7	-	-	PUNCT
fis-3240	220	8	375	375	NUM
fis-3240	220	9	.	.	PUNCT
fis-3240	221	1	doi	doi	NOUN
fis-3240	221	2	:	:	PUNCT
fis-3240	221	3	10.1016	10.1016	NUM
fis-3240	221	4	/	/	SYM
fis-3240	221	5	j.compstruct.2014.11.062	j.compstruct.2014.11.062	PROPN
fis-3240	221	6	.	.	PUNCT
fis-3240	222	1	[	[	X
fis-3240	222	2	2	2	NUM
fis-3240	222	3	]	]	X
fis-3240	222	4	samir	samir	PROPN
fis-3240	222	5	,	,	PUNCT
fis-3240	222	6	k.	k.	PROPN
fis-3240	222	7	,	,	PUNCT
fis-3240	222	8	brahim	brahim	PROPN
fis-3240	222	9	,	,	PUNCT
fis-3240	222	10	b.	b.	PROPN
fis-3240	222	11	,	,	PUNCT
fis-3240	222	12	capozucca	capozucca	PROPN
fis-3240	222	13	,	,	PUNCT
fis-3240	222	14	r.	r.	PROPN
fis-3240	222	15	and	and	CCONJ
fis-3240	222	16	wahab	wahab	PROPN
fis-3240	222	17	,	,	PUNCT
fis-3240	222	18	m.a	m.a	PROPN
fis-3240	222	19	.	.	PROPN
fis-3240	222	20	(	(	PUNCT
fis-3240	222	21	2018	2018	NUM
fis-3240	222	22	)	)	PUNCT
fis-3240	222	23	.	.	PUNCT
fis-3240	223	1	damage	damage	NOUN
fis-3240	223	2	detection	detection	NOUN
fis-3240	223	3	in	in	ADP
fis-3240	223	4	cfrp	cfrp	NOUN
fis-3240	223	5	composite	composite	ADJ
fis-3240	223	6	beams	beam	NOUN
fis-3240	223	7	based	base	VERB
fis-3240	223	8	on	on	ADP
fis-3240	223	9	vibration	vibration	NOUN
fis-3240	223	10	analysis	analysis	NOUN
fis-3240	223	11	using	use	VERB
fis-3240	223	12	proper	proper	ADJ
fis-3240	223	13	orthogonal	orthogonal	ADJ
fis-3240	223	14	decomposition	decomposition	NOUN
fis-3240	223	15	method	method	NOUN
fis-3240	223	16	with	with	ADP
fis-3240	223	17	radial	radial	ADJ
fis-3240	223	18	basis	basis	NOUN
fis-3240	223	19	functions	function	NOUN
fis-3240	223	20	and	and	CCONJ
fis-3240	223	21	cuckoo	cuckoo	NOUN
fis-3240	223	22	search	search	NOUN
fis-3240	223	23	algorithm	algorithm	NOUN
fis-3240	223	24	.	.	PUNCT
fis-3240	224	1	composite	composite	ADJ
fis-3240	224	2	structures	structure	NOUN
fis-3240	224	3	,	,	PUNCT
fis-3240	224	4	187	187	NUM
fis-3240	224	5	,	,	PUNCT
fis-3240	224	6	pp.344	pp.344	NOUN
fis-3240	224	7	-	-	PUNCT
fis-3240	224	8	353	353	NUM
fis-3240	224	9	.	.	PUNCT
fis-3240	225	1	doi	doi	NOUN
fis-3240	225	2	:	:	PUNCT
fis-3240	225	3	10.1016	10.1016	NUM
fis-3240	225	4	/	/	SYM
fis-3240	225	5	j.compstruct.2017.12.058	j.compstruct.2017.12.058	X
fis-3240	225	6	.	.	PUNCT
fis-3240	226	1	[	[	X
fis-3240	226	2	3	3	NUM
fis-3240	226	3	]	]	X
fis-3240	226	4	khatir	khatir	PROPN
fis-3240	226	5	,	,	PUNCT
fis-3240	226	6	s.	s.	PROPN
fis-3240	226	7	and	and	CCONJ
fis-3240	226	8	wahab	wahab	PROPN
fis-3240	226	9	,	,	PUNCT
fis-3240	226	10	m.a	m.a	PROPN
fis-3240	226	11	.	.	PROPN
fis-3240	226	12	(	(	PUNCT
fis-3240	226	13	2019	2019	NUM
fis-3240	226	14	)	)	PUNCT
fis-3240	226	15	.	.	PUNCT
fis-3240	227	1	fast	fast	ADJ
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fis-3240	227	3	for	for	ADP
fis-3240	227	4	solving	solve	VERB
fis-3240	227	5	fracture	fracture	NOUN
fis-3240	227	6	mechanics	mechanic	NOUN
fis-3240	227	7	inverse	inverse	NOUN
fis-3240	227	8	problems	problem	NOUN
fis-3240	227	9	using	use	VERB
fis-3240	227	10	pod	pod	PROPN
fis-3240	227	11	-	-	PROPN
fis-3240	227	12	rbf	rbf	PROPN
fis-3240	227	13	xiga	xiga	PROPN
fis-3240	227	14	and	and	CCONJ
fis-3240	227	15	jaya	jaya	PROPN
fis-3240	227	16	algorithm	algorithm	PROPN
fis-3240	227	17	.	.	PUNCT
fis-3240	228	1	engineering	engineering	NOUN
fis-3240	228	2	fracture	fracture	PROPN
fis-3240	228	3	mechanics	mechanic	NOUN
fis-3240	228	4	,	,	PUNCT
fis-3240	228	5	205	205	NUM
fis-3240	228	6	,	,	PUNCT
fis-3240	228	7	pp.285	pp.285	PROPN
fis-3240	228	8	-	-	PUNCT
fis-3240	228	9	300	300	NUM
fis-3240	228	10	.	.	PUNCT
fis-3240	229	1	doi	doi	NOUN
fis-3240	229	2	:	:	PUNCT
fis-3240	229	3	10.1016	10.1016	NUM
fis-3240	229	4	/	/	SYM
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fis-3240	229	6	.	.	PUNCT
fis-3240	230	1	[	[	X
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fis-3240	230	3	]	]	X
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fis-3240	230	5	,	,	PUNCT
fis-3240	230	6	e.	e.	PROPN
fis-3240	230	7	and	and	CCONJ
fis-3240	230	8	capozucca	capozucca	PROPN
fis-3240	230	9	,	,	PUNCT
fis-3240	230	10	r.	r.	PROPN
fis-3240	230	11	(	(	PUNCT
fis-3240	230	12	2020	2020	NUM
fis-3240	230	13	)	)	PUNCT
fis-3240	230	14	.	.	PUNCT
fis-3240	231	1	detection	detection	NOUN
fis-3240	231	2	of	of	ADP
fis-3240	231	3	damage	damage	NOUN
fis-3240	231	4	in	in	ADP
fis-3240	231	5	rc	rc	PROPN
fis-3240	231	6	beams	beam	NOUN
fis-3240	231	7	strengthened	strengthen	VERB
fis-3240	231	8	with	with	ADP
fis-3240	231	9	nsm	nsm	PROPN
fis-3240	231	10	cfrp	cfrp	PROPN
fis-3240	231	11	rectangular	rectangular	ADJ
fis-3240	231	12	rod	rod	NOUN
fis-3240	231	13	by	by	ADP
fis-3240	231	14	finite	finite	ADJ
fis-3240	231	15	element	element	NOUN
fis-3240	231	16	modeling	modeling	NOUN
fis-3240	231	17	.	.	PUNCT
fis-3240	232	1	in	in	ADP
fis-3240	232	2	:	:	PUNCT
fis-3240	232	3	fracture	fracture	NOUN
fis-3240	232	4	,	,	PUNCT
fis-3240	232	5	fatigue	fatigue	NOUN
fis-3240	232	6	and	and	CCONJ
fis-3240	232	7	wear	wear	VERB
fis-3240	232	8	,	,	PUNCT
fis-3240	232	9	singapore	singapore	PROPN
fis-3240	232	10	,	,	PUNCT
fis-3240	232	11	springer	springer	NOUN
fis-3240	232	12	,	,	PUNCT
fis-3240	232	13	pp	pp	ADP
fis-3240	232	14	.	.	PUNCT
fis-3240	233	1	227	227	NUM
fis-3240	233	2	-	-	SYM
fis-3240	233	3	242	242	NUM
fis-3240	233	4	.	.	PUNCT
fis-3240	234	1	t	t	PROPN
fis-3240	234	2	t	t	PROPN
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fis-3240	234	4	.	.	PUNCT
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fis-3240	235	2	et	et	PROPN
fis-3240	235	3	alii	alii	PROPN
fis-3240	235	4	,	,	PUNCT
fis-3240	235	5	frattura	frattura	PROPN
fis-3240	235	6	ed	ed	PROPN
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fis-3240	235	8	strutturale	strutturale	PROPN
fis-3240	235	9	,	,	PUNCT
fis-3240	235	10	58	58	NUM
fis-3240	235	11	(	(	PUNCT
fis-3240	235	12	2021	2021	NUM
fis-3240	235	13	)	)	PUNCT
fis-3240	235	14	308	308	NUM
fis-3240	235	15	-	-	SYM
fis-3240	235	16	318	318	NUM
fis-3240	235	17	;	;	PUNCT
fis-3240	235	18	doi	doi	NOUN
fis-3240	235	19	:	:	PUNCT
fis-3240	235	20	10.3221	10.3221	NUM
fis-3240	235	21	/	/	SYM
fis-3240	235	22	igf	igf	PROPN
fis-3240	235	23	-	-	PUNCT
fis-3240	235	24	esis.58.23	esis.58.23	PROPN
fis-3240	235	25	318	318	NUM
fis-3240	235	26	doi	doi	NOUN
fis-3240	235	27	:	:	PUNCT
fis-3240	235	28	10.1007/978	10.1007/978	NUM
fis-3240	235	29	-	-	SYM
fis-3240	235	30	981	981	NUM
fis-3240	235	31	-	-	PUNCT
fis-3240	235	32	15	15	NUM
fis-3240	235	33	-	-	PUNCT
fis-3240	235	34	9893	9893	NUM
fis-3240	235	35	-	-	PUNCT
fis-3240	235	36	7_16	7_16	NUM
fis-3240	235	37	.	.	PUNCT
fis-3240	236	1	[	[	X
fis-3240	236	2	5	5	NUM
fis-3240	236	3	]	]	PUNCT
fis-3240	236	4	tiachacht	tiachacht	NOUN
fis-3240	236	5	,	,	PUNCT
fis-3240	236	6	s.	s.	PROPN
fis-3240	236	7	,	,	PUNCT
fis-3240	236	8	khatir	khatir	PROPN
fis-3240	236	9	,	,	PUNCT
fis-3240	236	10	s.	s.	PROPN
fis-3240	236	11	,	,	PUNCT
fis-3240	236	12	le	le	PROPN
fis-3240	236	13	thanh	thanh	PROPN
fis-3240	236	14	,	,	PUNCT
fis-3240	236	15	c.	c.	PROPN
fis-3240	236	16	,	,	PUNCT
fis-3240	236	17	rao	rao	PROPN
fis-3240	236	18	,	,	PUNCT
fis-3240	236	19	r.v	r.v	PROPN
fis-3240	236	20	.	.	PROPN
fis-3240	236	21	,	,	PUNCT
fis-3240	236	22	mirjalili	mirjalili	NOUN
fis-3240	236	23	,	,	PUNCT
fis-3240	236	24	s.	s.	PROPN
fis-3240	236	25	and	and	CCONJ
fis-3240	236	26	wahab	wahab	PROPN
fis-3240	236	27	,	,	PUNCT
fis-3240	236	28	m.a	m.a	PROPN
fis-3240	236	29	.	.	PROPN
fis-3240	236	30	(	(	PUNCT
fis-3240	236	31	2021	2021	NUM
fis-3240	236	32	)	)	PUNCT
fis-3240	236	33	.	.	PUNCT
fis-3240	237	1	inverse	inverse	ADJ
fis-3240	237	2	problem	problem	NOUN
fis-3240	237	3	for	for	ADP
fis-3240	237	4	dynamic	dynamic	ADJ
fis-3240	237	5	structural	structural	ADJ
fis-3240	237	6	health	health	NOUN
fis-3240	237	7	monitoring	monitoring	NOUN
fis-3240	237	8	based	base	VERB
fis-3240	237	9	on	on	ADP
fis-3240	237	10	slime	slime	NOUN
fis-3240	237	11	mould	mould	AUX
fis-3240	237	12	algorithm	algorithm	VERB
fis-3240	237	13	.	.	PUNCT
fis-3240	238	1	engineering	engineering	NOUN
fis-3240	238	2	with	with	ADP
fis-3240	238	3	computers	computer	NOUN
fis-3240	238	4	,	,	PUNCT
fis-3240	238	5	pp.1	pp.1	NOUN
fis-3240	238	6	-	-	PUNCT
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fis-3240	271	17	)	)	PUNCT
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fis-3240	274	21	)	)	PUNCT
fis-3240	274	22	.	.	PUNCT
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fis-3240	276	5	,	,	PUNCT
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fis-3240	276	7	)	)	PUNCT
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fis-3240	276	12	.	.	PUNCT
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fis-3240	278	21	)	)	PUNCT
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fis-3240	282	22	)	)	PUNCT
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fis-3240	289	29	.	.	PUNCT
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fis-3240	297	28	(	(	PUNCT
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fis-3240	298	13	on	on	ADP
fis-3240	298	14	ensemble	ensemble	ADJ
fis-3240	298	15	machine	machine	NOUN
fis-3240	298	16	learning	learning	NOUN
fis-3240	298	17	algorithm	algorithm	NOUN
fis-3240	298	18	.	.	PUNCT
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fis-3240	299	2	engineering	engineering	NOUN
fis-3240	299	3	informatics	informatic	NOUN
fis-3240	299	4	,	,	PUNCT
fis-3240	299	5	45	45	NUM
fis-3240	299	6	,	,	PUNCT
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fis-3240	299	8	.	.	PUNCT
fis-3240	300	1	doi	doi	NOUN
fis-3240	300	2	:	:	PUNCT
fis-3240	300	3	10.1016	10.1016	NUM
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fis-3240	301	3	]	]	X
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fis-3240	301	5	,	,	PUNCT
fis-3240	301	6	d.c	d.c	PROPN
fis-3240	301	7	.	.	PROPN
fis-3240	301	8	,	,	PUNCT
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fis-3240	301	11	z.t	z.t	PROPN
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fis-3240	301	13	,	,	PUNCT
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fis-3240	301	15	,	,	PUNCT
fis-3240	301	16	x.d	x.d	PROPN
fis-3240	301	17	.	.	PROPN
fis-3240	301	18	,	,	PUNCT
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fis-3240	301	20	,	,	PUNCT
fis-3240	301	21	y.	y.	PROPN
fis-3240	301	22	,	,	PUNCT
fis-3240	301	23	chang	chang	PROPN
fis-3240	301	24	,	,	PUNCT
fis-3240	301	25	j.q	j.q	PROPN
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fis-3240	301	29	,	,	PUNCT
fis-3240	301	30	d.f	d.f	PROPN
fis-3240	301	31	.	.	PROPN
fis-3240	301	32	and	and	CCONJ
fis-3240	301	33	jiang	jiang	PROPN
fis-3240	301	34	,	,	PUNCT
fis-3240	301	35	z.m	z.m	PROPN
fis-3240	301	36	.	.	PROPN
fis-3240	301	37	(	(	PUNCT
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fis-3240	301	39	)	)	PUNCT
fis-3240	301	40	.	.	PUNCT
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fis-3240	302	2	learning	learning	NOUN
fis-3240	302	3	-	-	PUNCT
fis-3240	302	4	based	base	VERB
fis-3240	302	5	compressive	compressive	ADJ
fis-3240	302	6	strength	strength	NOUN
fis-3240	302	7	prediction	prediction	NOUN
fis-3240	302	8	for	for	ADP
fis-3240	302	9	concrete	concrete	NOUN
fis-3240	302	10	:	:	PUNCT
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fis-3240	302	13	boosting	boost	VERB
fis-3240	302	14	approach	approach	NOUN
fis-3240	302	15	.	.	PUNCT
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fis-3240	303	2	and	and	CCONJ
fis-3240	303	3	building	building	NOUN
fis-3240	303	4	materials	material	NOUN
fis-3240	303	5	,	,	PUNCT
fis-3240	303	6	230	230	NUM
fis-3240	303	7	,	,	PUNCT
fis-3240	303	8	p.117000	p.117000	NUM
fis-3240	303	9	.	.	PUNCT
fis-3240	304	1	doi	doi	NOUN
fis-3240	304	2	:	:	PUNCT
fis-3240	304	3	10.1016	10.1016	NUM
fis-3240	304	4	/	/	SYM
fis-3240	304	5	j.conbuildmat.2019.117000	j.conbuildmat.2019.117000	ADJ
fis-3240	304	6	.	.	PUNCT
fis-3240	305	1	[	[	X
fis-3240	305	2	23	23	NUM
fis-3240	305	3	]	]	X
fis-3240	305	4	pedregosa	pedregosa	PROPN
fis-3240	305	5	,	,	PUNCT
fis-3240	305	6	f.	f.	PROPN
fis-3240	305	7	,	,	PUNCT
fis-3240	305	8	varoquaux	varoquaux	PROPN
fis-3240	305	9	,	,	PUNCT
fis-3240	305	10	g.	g.	PROPN
fis-3240	305	11	,	,	PUNCT
fis-3240	305	12	gramfort	gramfort	NOUN
fis-3240	305	13	,	,	PUNCT
fis-3240	305	14	a.	a.	PROPN
fis-3240	305	15	,	,	PUNCT
fis-3240	305	16	michel	michel	PROPN
fis-3240	305	17	,	,	PUNCT
fis-3240	305	18	v.	v.	PROPN
fis-3240	305	19	,	,	PUNCT
fis-3240	305	20	thirion	thirion	NOUN
fis-3240	305	21	,	,	PUNCT
fis-3240	305	22	b.	b.	PROPN
fis-3240	305	23	,	,	PUNCT
fis-3240	305	24	grisel	grisel	PROPN
fis-3240	305	25	,	,	PUNCT
fis-3240	305	26	o.	o.	PROPN
fis-3240	305	27	,	,	PUNCT
fis-3240	305	28	blondel	blondel	NOUN
fis-3240	305	29	,	,	PUNCT
fis-3240	305	30	m.	m.	NOUN
fis-3240	305	31	,	,	PUNCT
fis-3240	305	32	prettenhofer	prettenhofer	NOUN
fis-3240	305	33	,	,	PUNCT
fis-3240	305	34	p.	p.	PROPN
fis-3240	305	35	,	,	PUNCT
fis-3240	305	36	weiss	weiss	PROPN
fis-3240	305	37	,	,	PUNCT
fis-3240	305	38	r.	r.	PROPN
fis-3240	305	39	,	,	PUNCT
fis-3240	305	40	dubourg	dubourg	NOUN
fis-3240	305	41	,	,	PUNCT
fis-3240	305	42	v.	v.	NOUN
fis-3240	305	43	and	and	CCONJ
fis-3240	305	44	vanderplas	vanderpla	NOUN
fis-3240	305	45	,	,	PUNCT
fis-3240	305	46	j.	j.	PROPN
fis-3240	305	47	(	(	PUNCT
fis-3240	305	48	2011	2011	NUM
fis-3240	305	49	)	)	PUNCT
fis-3240	305	50	.	.	PUNCT
fis-3240	306	1	scikit	scikit	NOUN
fis-3240	306	2	-	-	PUNCT
fis-3240	306	3	learn	learn	VERB
fis-3240	306	4	:	:	PUNCT
fis-3240	306	5	machine	machine	NOUN
fis-3240	306	6	learning	learning	NOUN
fis-3240	306	7	in	in	ADP
fis-3240	306	8	python	python	PROPN
fis-3240	306	9	.	.	PUNCT
fis-3240	307	1	the	the	DET
fis-3240	307	2	journal	journal	NOUN
fis-3240	307	3	of	of	ADP
fis-3240	307	4	machine	machine	NOUN
fis-3240	307	5	learning	learn	VERB
fis-3240	307	6	research	research	NOUN
fis-3240	307	7	,	,	PUNCT
fis-3240	307	8	12	12	NUM
fis-3240	307	9	,	,	PUNCT
fis-3240	307	10	pp.2825	pp.2825	PROPN
fis-3240	307	11	-	-	PUNCT
fis-3240	307	12	2830	2830	NUM
fis-3240	307	13	.	.	PUNCT