id	sid	tid	token	lemma	pos
fis-5332	1	1	template	template	NOUN
fis-5332	1	2	fis	fis	PROPN
fis-5332	1	3	x.	x.	NOUN
fis-5332	1	4	cao	cao	PROPN
fis-5332	1	5	et	et	PROPN
fis-5332	1	6	alii	alii	PROPN
fis-5332	1	7	,	,	PUNCT
fis-5332	1	8	frattura	frattura	PROPN
fis-5332	1	9	ed	ed	PROPN
fis-5332	1	10	integrità	integrità	PROPN
fis-5332	1	11	strutturale	strutturale	PROPN
fis-5332	1	12	,	,	PUNCT
fis-5332	1	13	72	72	NUM
fis-5332	1	14	(	(	PUNCT
fis-5332	1	15	2025	2025	NUM
fis-5332	1	16	)	)	PUNCT
fis-5332	1	17	162	162	NUM
fis-5332	1	18	-	-	SYM
fis-5332	1	19	178	178	NUM
fis-5332	1	20	;	;	PUNCT
fis-5332	1	21	doi	doi	NOUN
fis-5332	1	22	:	:	PUNCT
fis-5332	1	23	10.3221	10.3221	NUM
fis-5332	1	24	/	/	SYM
fis-5332	1	25	igf	igf	PROPN
fis-5332	1	26	-	-	PUNCT
fis-5332	1	27	esis.72.12	esis.72.12	PROPN
fis-5332	1	28	162	162	NUM
fis-5332	1	29	augmentation	augmentation	NOUN
fis-5332	1	30	method	method	NOUN
fis-5332	1	31	of	of	ADP
fis-5332	1	32	fatigue	fatigue	NOUN
fis-5332	1	33	data	datum	NOUN
fis-5332	1	34	of	of	ADP
fis-5332	1	35	welded	weld	VERB
fis-5332	1	36	structures	structure	NOUN
fis-5332	1	37	based	base	VERB
fis-5332	1	38	on	on	ADP
fis-5332	1	39	physics	physics	NOUN
fis-5332	1	40	-	-	PUNCT
fis-5332	1	41	informed	inform	VERB
fis-5332	1	42	ctgan	ctgan	NOUN
fis-5332	1	43	xinyu	xinyu	PROPN
fis-5332	1	44	cao	cao	PROPN
fis-5332	1	45	school	school	PROPN
fis-5332	1	46	of	of	ADP
fis-5332	1	47	railway	railway	NOUN
fis-5332	1	48	intelligent	intelligent	ADJ
fis-5332	1	49	engineering	engineering	NOUN
fis-5332	1	50	of	of	ADP
fis-5332	1	51	dalian	dalian	PROPN
fis-5332	1	52	jiaotong	jiaotong	PROPN
fis-5332	1	53	university	university	PROPN
fis-5332	1	54	,	,	PUNCT
fis-5332	1	55	dalian	dalian	PROPN
fis-5332	1	56	,	,	PUNCT
fis-5332	1	57	china	china	PROPN
fis-5332	1	58	cxy14157676@163.com	cxy14157676@163.com	PROPN
fis-5332	1	59	li	li	PROPN
fis-5332	2	1	zou	zou	PROPN
fis-5332	2	2	*	*	PROPN
fis-5332	2	3	school	school	NOUN
fis-5332	2	4	of	of	ADP
fis-5332	2	5	railway	railway	NOUN
fis-5332	2	6	intelligent	intelligent	ADJ
fis-5332	2	7	engineering	engineering	NOUN
fis-5332	2	8	of	of	ADP
fis-5332	2	9	dalian	dalian	PROPN
fis-5332	2	10	jiaotong	jiaotong	PROPN
fis-5332	2	11	university	university	PROPN
fis-5332	2	12	,	,	PUNCT
fis-5332	2	13	dalian	dalian	PROPN
fis-5332	2	14	,	,	PUNCT
fis-5332	2	15	china	china	PROPN
fis-5332	2	16	liaoning	liaoning	PROPN
fis-5332	2	17	key	key	PROPN
fis-5332	2	18	laboratory	laboratory	NOUN
fis-5332	2	19	of	of	ADP
fis-5332	2	20	welding	welding	NOUN
fis-5332	2	21	and	and	CCONJ
fis-5332	2	22	reliability	reliability	NOUN
fis-5332	2	23	of	of	ADP
fis-5332	2	24	rail	rail	NOUN
fis-5332	2	25	transportation	transportation	NOUN
fis-5332	2	26	equipment	equipment	NOUN
fis-5332	2	27	,	,	PUNCT
fis-5332	2	28	dalian	dalian	PROPN
fis-5332	2	29	jiaotong	jiaotong	PROPN
fis-5332	2	30	university	university	PROPN
fis-5332	2	31	,	,	PUNCT
fis-5332	2	32	dalian	dalian	PROPN
fis-5332	2	33	,	,	PUNCT
fis-5332	2	34	china	china	PROPN
fis-5332	2	35	dalian	dalian	PROPN
fis-5332	2	36	key	key	PROPN
fis-5332	2	37	laboratory	laboratory	NOUN
fis-5332	2	38	of	of	ADP
fis-5332	2	39	blockchain	blockchain	PROPN
fis-5332	2	40	technology	technology	PROPN
fis-5332	2	41	and	and	CCONJ
fis-5332	2	42	application	application	NOUN
fis-5332	2	43	,	,	PUNCT
fis-5332	2	44	dalian	dalian	PROPN
fis-5332	2	45	jiaotong	jiaotong	PROPN
fis-5332	2	46	university	university	PROPN
fis-5332	2	47	,	,	PUNCT
fis-5332	2	48	dalian	dalian	PROPN
fis-5332	2	49	,	,	PUNCT
fis-5332	2	50	china	china	PROPN
fis-5332	2	51	lizou@djtu.edu.cn	lizou@djtu.edu.cn	PROPN
fis-5332	2	52	chen	chen	PROPN
fis-5332	2	53	lu	lu	PROPN
fis-5332	2	54	school	school	PROPN
fis-5332	2	55	of	of	ADP
fis-5332	2	56	railway	railway	NOUN
fis-5332	2	57	intelligent	intelligent	ADJ
fis-5332	2	58	engineering	engineering	NOUN
fis-5332	2	59	of	of	ADP
fis-5332	2	60	dalian	dalian	PROPN
fis-5332	2	61	jiaotong	jiaotong	PROPN
fis-5332	2	62	university	university	PROPN
fis-5332	2	63	,	,	PUNCT
fis-5332	2	64	dalian	dalian	PROPN
fis-5332	2	65	,	,	PUNCT
fis-5332	2	66	china	china	PROPN
fis-5332	2	67	19912060618@163.com	19912060618@163.com	NUM
fis-5332	2	68	keywords	keyword	NOUN
fis-5332	2	69	.	.	PUNCT
fis-5332	3	1	fatigue	fatigue	NOUN
fis-5332	3	2	life	life	NOUN
fis-5332	3	3	prediction	prediction	NOUN
fis-5332	3	4	,	,	PUNCT
fis-5332	3	5	data	datum	NOUN
fis-5332	3	6	augmentation	augmentation	NOUN
fis-5332	3	7	,	,	PUNCT
fis-5332	3	8	ctgan	ctgan	ADJ
fis-5332	3	9	,	,	PUNCT
fis-5332	3	10	variable	variable	ADJ
fis-5332	3	11	amplitude	amplitude	NOUN
fis-5332	3	12	loading	loading	NOUN
fis-5332	3	13	.	.	PUNCT
fis-5332	4	1	citation	citation	NOUN
fis-5332	4	2	:	:	PUNCT
fis-5332	4	3	cao	cao	PROPN
fis-5332	4	4	,	,	PUNCT
fis-5332	4	5	x.	x.	PROPN
fis-5332	4	6	,	,	PUNCT
fis-5332	4	7	zou	zou	PROPN
fis-5332	4	8	,	,	PUNCT
fis-5332	4	9	l.	l.	PROPN
fis-5332	4	10	,	,	PUNCT
fis-5332	4	11	lu	lu	PROPN
fis-5332	4	12	,	,	PUNCT
fis-5332	4	13	c.	c.	NOUN
fis-5332	4	14	,	,	PUNCT
fis-5332	4	15	augmentation	augmentation	NOUN
fis-5332	4	16	method	method	NOUN
fis-5332	4	17	of	of	ADP
fis-5332	4	18	fatigue	fatigue	NOUN
fis-5332	4	19	data	datum	NOUN
fis-5332	4	20	of	of	ADP
fis-5332	4	21	welded	weld	VERB
fis-5332	4	22	structures	structure	NOUN
fis-5332	4	23	based	base	VERB
fis-5332	4	24	on	on	ADP
fis-5332	4	25	physicsinformed	physicsinforme	VERB
fis-5332	4	26	ctgan	ctgan	NOUN
fis-5332	4	27	,	,	PUNCT
fis-5332	4	28	frattura	frattura	PROPN
fis-5332	4	29	ed	ed	PROPN
fis-5332	4	30	integrità	integrità	PROPN
fis-5332	4	31	strutturale	strutturale	PROPN
fis-5332	4	32	,	,	PUNCT
fis-5332	4	33	72	72	NUM
fis-5332	4	34	(	(	PUNCT
fis-5332	4	35	2025	2025	NUM
fis-5332	4	36	)	)	PUNCT
fis-5332	4	37	162	162	NUM
fis-5332	4	38	-	-	SYM
fis-5332	4	39	178	178	NUM
fis-5332	4	40	.	.	PUNCT
fis-5332	5	1	received	receive	VERB
fis-5332	5	2	:	:	PUNCT
fis-5332	5	3	13.01.2025	13.01.2025	NUM
fis-5332	5	4	accepted	accept	VERB
fis-5332	5	5	:	:	PUNCT
fis-5332	5	6	19.02.2025	19.02.2025	NUM
fis-5332	5	7	published	publish	VERB
fis-5332	5	8	:	:	PUNCT
fis-5332	5	9	27.02.2025	27.02.2025	NUM
fis-5332	5	10	issue	issue	NOUN
fis-5332	5	11	:	:	PUNCT
fis-5332	5	12	04.2025	04.2025	NUM
fis-5332	5	13	copyright	copyright	NOUN
fis-5332	5	14	:	:	PUNCT
fis-5332	5	15	©	©	PROPN
fis-5332	5	16	2025	2025	NUM
fis-5332	5	17	this	this	PRON
fis-5332	5	18	is	be	AUX
fis-5332	5	19	an	an	DET
fis-5332	5	20	open	open	ADJ
fis-5332	5	21	access	access	NOUN
fis-5332	5	22	article	article	NOUN
fis-5332	5	23	under	under	ADP
fis-5332	5	24	the	the	DET
fis-5332	5	25	terms	term	NOUN
fis-5332	5	26	of	of	ADP
fis-5332	5	27	the	the	DET
fis-5332	5	28	cc	cc	NOUN
fis-5332	5	29	-	-	PUNCT
fis-5332	5	30	by	by	ADP
fis-5332	5	31	4.0	4.0	NUM
fis-5332	5	32	,	,	PUNCT
fis-5332	5	33	which	which	PRON
fis-5332	5	34	permits	permit	VERB
fis-5332	5	35	unrestricted	unrestricted	ADJ
fis-5332	5	36	use	use	NOUN
fis-5332	5	37	,	,	PUNCT
fis-5332	5	38	distribution	distribution	NOUN
fis-5332	5	39	,	,	PUNCT
fis-5332	5	40	and	and	CCONJ
fis-5332	5	41	reproduction	reproduction	NOUN
fis-5332	5	42	in	in	ADP
fis-5332	5	43	any	any	DET
fis-5332	5	44	medium	medium	NOUN
fis-5332	5	45	,	,	PUNCT
fis-5332	5	46	provided	provide	VERB
fis-5332	5	47	the	the	DET
fis-5332	5	48	original	original	ADJ
fis-5332	5	49	author	author	NOUN
fis-5332	5	50	and	and	CCONJ
fis-5332	5	51	source	source	NOUN
fis-5332	5	52	are	be	AUX
fis-5332	5	53	credited	credit	VERB
fis-5332	5	54	.	.	PUNCT
fis-5332	6	1	https://youtu.be/jxauwardurq	https://youtu.be/jxauwardurq	AUX
fis-5332	6	2	x.	x.	PROPN
fis-5332	6	3	cao	cao	PROPN
fis-5332	6	4	et	et	PROPN
fis-5332	6	5	alii	alii	PROPN
fis-5332	6	6	,	,	PUNCT
fis-5332	6	7	frattura	frattura	PROPN
fis-5332	6	8	ed	ed	PROPN
fis-5332	6	9	integrità	integrità	PROPN
fis-5332	6	10	strutturale	strutturale	PROPN
fis-5332	6	11	,	,	PUNCT
fis-5332	6	12	72	72	NUM
fis-5332	6	13	(	(	PUNCT
fis-5332	6	14	2025	2025	NUM
fis-5332	6	15	)	)	PUNCT
fis-5332	6	16	162	162	NUM
fis-5332	6	17	-	-	SYM
fis-5332	6	18	178	178	NUM
fis-5332	6	19	;	;	PUNCT
fis-5332	6	20	doi	doi	NOUN
fis-5332	6	21	:	:	PUNCT
fis-5332	6	22	10.3221	10.3221	NUM
fis-5332	6	23	/	/	SYM
fis-5332	6	24	igf	igf	PROPN
fis-5332	6	25	-	-	PUNCT
fis-5332	6	26	esis.72.12	esis.72.12	PROPN
fis-5332	6	27	163	163	NUM
fis-5332	6	28	introduction	introduction	NOUN
fis-5332	6	29	n	n	PRON
fis-5332	6	30	modern	modern	ADJ
fis-5332	6	31	engineering	engineering	NOUN
fis-5332	6	32	practice	practice	NOUN
fis-5332	6	33	,	,	PUNCT
fis-5332	6	34	welded	weld	VERB
fis-5332	6	35	structures	structure	NOUN
fis-5332	6	36	in	in	ADP
fis-5332	6	37	aerospace	aerospace	NOUN
fis-5332	6	38	,	,	PUNCT
fis-5332	6	39	automotive	automotive	ADJ
fis-5332	6	40	industry	industry	NOUN
fis-5332	6	41	,	,	PUNCT
fis-5332	6	42	bridge	bridge	NOUN
fis-5332	6	43	construction	construction	NOUN
fis-5332	6	44	and	and	CCONJ
fis-5332	6	45	other	other	ADJ
fis-5332	6	46	fields	field	NOUN
fis-5332	6	47	typically	typically	ADV
fis-5332	6	48	perform	perform	VERB
fis-5332	6	49	under	under	ADP
fis-5332	6	50	variable	variable	ADJ
fis-5332	6	51	amplitude	amplitude	NOUN
fis-5332	6	52	loading	loading	NOUN
fis-5332	6	53	and	and	CCONJ
fis-5332	6	54	are	be	AUX
fis-5332	6	55	very	very	ADV
fis-5332	6	56	susceptible	susceptible	ADJ
fis-5332	6	57	to	to	ADP
fis-5332	6	58	fatigue	fatigue	NOUN
fis-5332	6	59	failure	failure	NOUN
fis-5332	6	60	[	[	X
fis-5332	6	61	1	1	NUM
fis-5332	6	62	]	]	PUNCT
fis-5332	6	63	.	.	PUNCT
fis-5332	7	1	fatigue	fatigue	NOUN
fis-5332	7	2	damage	damage	NOUN
fis-5332	7	3	increases	increase	NOUN
fis-5332	7	4	cumulatively	cumulatively	ADV
fis-5332	7	5	during	during	ADP
fis-5332	7	6	the	the	DET
fis-5332	7	7	service	service	NOUN
fis-5332	7	8	of	of	ADP
fis-5332	7	9	welded	weld	VERB
fis-5332	7	10	structures	structure	NOUN
fis-5332	7	11	until	until	SCONJ
fis-5332	7	12	the	the	DET
fis-5332	7	13	structure	structure	NOUN
fis-5332	7	14	fails	fail	VERB
fis-5332	7	15	by	by	ADP
fis-5332	7	16	fracture	fracture	NOUN
fis-5332	7	17	.	.	PUNCT
fis-5332	8	1	the	the	DET
fis-5332	8	2	randomness	randomness	NOUN
fis-5332	8	3	and	and	CCONJ
fis-5332	8	4	complexity	complexity	NOUN
fis-5332	8	5	in	in	ADP
fis-5332	8	6	variable	variable	ADJ
fis-5332	8	7	amplitude	amplitude	NOUN
fis-5332	8	8	loading	loading	NOUN
fis-5332	8	9	elevate	elevate	VERB
fis-5332	8	10	the	the	DET
fis-5332	8	11	challenges	challenge	NOUN
fis-5332	8	12	associated	associate	VERB
fis-5332	8	13	with	with	ADP
fis-5332	8	14	predicting	predict	VERB
fis-5332	8	15	fatigue	fatigue	NOUN
fis-5332	8	16	life	life	NOUN
fis-5332	8	17	.	.	PUNCT
fis-5332	9	1	consequently	consequently	ADV
fis-5332	9	2	,	,	PUNCT
fis-5332	9	3	accurate	accurate	ADJ
fis-5332	9	4	prediction	prediction	NOUN
fis-5332	9	5	of	of	ADP
fis-5332	9	6	fatigue	fatigue	NOUN
fis-5332	9	7	life	life	NOUN
fis-5332	9	8	under	under	ADP
fis-5332	9	9	variable	variable	ADJ
fis-5332	9	10	amplitude	amplitude	NOUN
fis-5332	9	11	loads	load	NOUN
fis-5332	9	12	is	be	AUX
fis-5332	9	13	crucial	crucial	ADJ
fis-5332	9	14	for	for	ADP
fis-5332	9	15	ensuring	ensure	VERB
fis-5332	9	16	the	the	DET
fis-5332	9	17	project	project	NOUN
fis-5332	9	18	's	's	PART
fis-5332	9	19	safe	safe	ADJ
fis-5332	9	20	operation	operation	NOUN
fis-5332	9	21	and	and	CCONJ
fis-5332	9	22	mitigating	mitigate	VERB
fis-5332	9	23	financial	financial	ADJ
fis-5332	9	24	losses	loss	NOUN
fis-5332	9	25	.	.	PUNCT
fis-5332	10	1	up	up	ADP
fis-5332	10	2	to	to	ADP
fis-5332	10	3	now	now	ADV
fis-5332	10	4	,	,	PUNCT
fis-5332	10	5	two	two	NUM
fis-5332	10	6	primary	primary	ADJ
fis-5332	10	7	categories	category	NOUN
fis-5332	10	8	have	have	AUX
fis-5332	10	9	been	be	AUX
fis-5332	10	10	established	establish	VERB
fis-5332	10	11	for	for	ADP
fis-5332	10	12	methods	method	NOUN
fis-5332	10	13	predicting	predict	VERB
fis-5332	10	14	fatigue	fatigue	NOUN
fis-5332	10	15	life	life	NOUN
fis-5332	10	16	under	under	ADP
fis-5332	10	17	variable	variable	ADJ
fis-5332	10	18	amplitude	amplitude	NOUN
fis-5332	10	19	loading	loading	NOUN
fis-5332	10	20	:	:	PUNCT
fis-5332	10	21	cumulative	cumulative	ADJ
fis-5332	10	22	damage	damage	NOUN
fis-5332	10	23	theory	theory	NOUN
fis-5332	10	24	[	[	X
fis-5332	10	25	2	2	NUM
fis-5332	10	26	]	]	PUNCT
fis-5332	10	27	and	and	CCONJ
fis-5332	10	28	machine	machine	NOUN
fis-5332	10	29	learning	learning	NOUN
fis-5332	10	30	methods	method	NOUN
fis-5332	10	31	[	[	X
fis-5332	10	32	3	3	NUM
fis-5332	10	33	]	]	PUNCT
fis-5332	10	34	.	.	PUNCT
fis-5332	11	1	among	among	ADP
fis-5332	11	2	them	they	PRON
fis-5332	11	3	,	,	PUNCT
fis-5332	11	4	the	the	DET
fis-5332	11	5	theory	theory	NOUN
fis-5332	11	6	of	of	ADP
fis-5332	11	7	fatigue	fatigue	NOUN
fis-5332	11	8	accumulation	accumulation	NOUN
fis-5332	11	9	damage	damage	NOUN
fis-5332	11	10	is	be	AUX
fis-5332	11	11	categorized	categorize	VERB
fis-5332	11	12	into	into	ADP
fis-5332	11	13	two	two	NUM
fis-5332	11	14	principal	principal	ADJ
fis-5332	11	15	divisions	division	NOUN
fis-5332	11	16	:	:	PUNCT
fis-5332	11	17	namely	namely	ADV
fis-5332	11	18	,	,	PUNCT
fis-5332	11	19	the	the	DET
fis-5332	11	20	linear	linear	ADJ
fis-5332	11	21	theory	theory	NOUN
fis-5332	11	22	of	of	ADP
fis-5332	11	23	damage	damage	NOUN
fis-5332	11	24	accumulation	accumulation	NOUN
fis-5332	11	25	and	and	CCONJ
fis-5332	11	26	the	the	DET
fis-5332	11	27	nonlinear	nonlinear	ADJ
fis-5332	11	28	theory	theory	NOUN
fis-5332	11	29	of	of	ADP
fis-5332	11	30	damage	damage	NOUN
fis-5332	11	31	accumulation	accumulation	NOUN
fis-5332	11	32	.	.	PUNCT
fis-5332	12	1	the	the	DET
fis-5332	12	2	most	most	ADV
fis-5332	12	3	common	common	ADJ
fis-5332	12	4	miner	miner	NOUN
fis-5332	12	5	linear	linear	PROPN
fis-5332	12	6	cumulative	cumulative	ADJ
fis-5332	12	7	damage	damage	NOUN
fis-5332	12	8	model	model	NOUN
fis-5332	12	9	[	[	X
fis-5332	12	10	4	4	X
fis-5332	12	11	]	]	PUNCT
fis-5332	12	12	is	be	AUX
fis-5332	12	13	applied	apply	VERB
fis-5332	12	14	extensively	extensively	ADV
fis-5332	12	15	in	in	ADP
fis-5332	12	16	engineering	engineering	NOUN
fis-5332	12	17	as	as	SCONJ
fis-5332	12	18	it	it	PRON
fis-5332	12	19	is	be	AUX
fis-5332	12	20	easy	easy	ADJ
fis-5332	12	21	to	to	PART
fis-5332	12	22	calculate	calculate	VERB
fis-5332	12	23	.	.	PUNCT
fis-5332	13	1	however	however	ADV
fis-5332	13	2	,	,	PUNCT
fis-5332	13	3	it	it	PRON
fis-5332	13	4	overlooks	overlook	VERB
fis-5332	13	5	the	the	DET
fis-5332	13	6	impacts	impact	NOUN
fis-5332	13	7	of	of	ADP
fis-5332	13	8	loading	loading	NOUN
fis-5332	13	9	sequence	sequence	NOUN
fis-5332	13	10	and	and	CCONJ
fis-5332	13	11	loading	loading	NOUN
fis-5332	13	12	effects	effect	NOUN
fis-5332	13	13	in	in	ADP
fis-5332	13	14	its	its	PRON
fis-5332	13	15	consideration	consideration	NOUN
fis-5332	13	16	.	.	PUNCT
fis-5332	14	1	there	there	PRON
fis-5332	14	2	is	be	VERB
fis-5332	14	3	often	often	ADV
fis-5332	14	4	a	a	DET
fis-5332	14	5	significant	significant	ADJ
fis-5332	14	6	discrepancy	discrepancy	NOUN
fis-5332	14	7	between	between	ADP
fis-5332	14	8	the	the	DET
fis-5332	14	9	actual	actual	ADJ
fis-5332	14	10	damage	damage	NOUN
fis-5332	14	11	and	and	CCONJ
fis-5332	14	12	the	the	DET
fis-5332	14	13	predicted	predict	VERB
fis-5332	14	14	damage	damage	NOUN
fis-5332	14	15	of	of	ADP
fis-5332	14	16	welded	weld	VERB
fis-5332	14	17	structures	structure	NOUN
fis-5332	14	18	under	under	ADP
fis-5332	14	19	variable	variable	ADJ
fis-5332	14	20	amplitude	amplitude	NOUN
fis-5332	14	21	loading	loading	NOUN
fis-5332	14	22	.	.	PUNCT
fis-5332	15	1	therefore	therefore	ADV
fis-5332	15	2	,	,	PUNCT
fis-5332	15	3	experts	expert	NOUN
fis-5332	15	4	and	and	CCONJ
fis-5332	15	5	scholars	scholar	NOUN
fis-5332	15	6	have	have	AUX
fis-5332	15	7	proposed	propose	VERB
fis-5332	15	8	nonlinear	nonlinear	ADJ
fis-5332	15	9	fatigue	fatigue	NOUN
fis-5332	15	10	damage	damage	NOUN
fis-5332	15	11	accumulation	accumulation	NOUN
fis-5332	15	12	theories	theory	NOUN
fis-5332	15	13	rooted	root	VERB
fis-5332	15	14	in	in	ADP
fis-5332	15	15	damage	damage	NOUN
fis-5332	15	16	curves	curve	NOUN
fis-5332	15	17	,	,	PUNCT
fis-5332	15	18	loading	loading	NOUN
fis-5332	15	19	interactions	interaction	NOUN
fis-5332	15	20	,	,	PUNCT
fis-5332	15	21	continuum	continuum	ADJ
fis-5332	15	22	damage	damage	NOUN
fis-5332	15	23	mechanics	mechanic	NOUN
fis-5332	15	24	,	,	PUNCT
fis-5332	15	25	energy	energy	NOUN
fis-5332	15	26	-	-	PUNCT
fis-5332	15	27	based	base	VERB
fis-5332	15	28	approaches	approach	NOUN
fis-5332	15	29	,	,	PUNCT
fis-5332	15	30	and	and	CCONJ
fis-5332	15	31	physical	physical	ADJ
fis-5332	15	32	property	property	NOUN
fis-5332	15	33	degradation	degradation	NOUN
fis-5332	15	34	to	to	PART
fis-5332	15	35	address	address	VERB
fis-5332	15	36	this	this	DET
fis-5332	15	37	issue	issue	NOUN
fis-5332	15	38	.	.	PUNCT
fis-5332	16	1	for	for	ADP
fis-5332	16	2	example	example	NOUN
fis-5332	16	3	,	,	PUNCT
fis-5332	16	4	ye	ye	PRON
fis-5332	16	5	et	et	NOUN
fis-5332	16	6	al	al	PROPN
fis-5332	16	7	.	.	PUNCT
fis-5332	17	1	[	[	X
fis-5332	17	2	5	5	NUM
fis-5332	17	3	]	]	PUNCT
fis-5332	17	4	proposed	propose	VERB
fis-5332	17	5	a	a	DET
fis-5332	17	6	nonlinear	nonlinear	ADJ
fis-5332	17	7	fatigue	fatigue	NOUN
fis-5332	17	8	damage	damage	NOUN
fis-5332	17	9	accumulation	accumulation	NOUN
fis-5332	17	10	model	model	NOUN
fis-5332	17	11	,	,	PUNCT
fis-5332	17	12	referred	refer	VERB
fis-5332	17	13	to	to	ADP
fis-5332	17	14	as	as	ADP
fis-5332	17	15	the	the	DET
fis-5332	17	16	ye	ye	PROPN
fis-5332	17	17	model	model	NOUN
fis-5332	17	18	,	,	PUNCT
fis-5332	17	19	which	which	PRON
fis-5332	17	20	is	be	AUX
fis-5332	17	21	based	base	VERB
fis-5332	17	22	on	on	ADP
fis-5332	17	23	the	the	DET
fis-5332	17	24	dynamic	dynamic	ADJ
fis-5332	17	25	degradation	degradation	NOUN
fis-5332	17	26	of	of	ADP
fis-5332	17	27	material	material	ADJ
fis-5332	17	28	toughness	toughness	NOUN
fis-5332	17	29	resulting	result	VERB
fis-5332	17	30	from	from	ADP
fis-5332	17	31	fatigue	fatigue	NOUN
fis-5332	17	32	-	-	PUNCT
fis-5332	17	33	induced	induce	VERB
fis-5332	17	34	damage	damage	NOUN
fis-5332	17	35	.	.	PUNCT
fis-5332	18	1	this	this	DET
fis-5332	18	2	model	model	NOUN
fis-5332	18	3	is	be	AUX
fis-5332	18	4	prevalent	prevalent	ADJ
fis-5332	18	5	in	in	ADP
fis-5332	18	6	engineering	engineering	NOUN
fis-5332	18	7	applications	application	NOUN
fis-5332	18	8	due	due	ADP
fis-5332	18	9	to	to	ADP
fis-5332	18	10	its	its	PRON
fis-5332	18	11	straightforward	straightforward	ADJ
fis-5332	18	12	form	form	NOUN
fis-5332	18	13	and	and	CCONJ
fis-5332	18	14	concise	concise	ADJ
fis-5332	18	15	physical	physical	ADJ
fis-5332	18	16	explanation	explanation	NOUN
fis-5332	18	17	.	.	PUNCT
fis-5332	19	1	nonetheless	nonetheless	ADV
fis-5332	19	2	,	,	PUNCT
fis-5332	19	3	the	the	DET
fis-5332	19	4	model	model	NOUN
fis-5332	19	5	overlooks	overlook	VERB
fis-5332	19	6	the	the	DET
fis-5332	19	7	interaction	interaction	NOUN
fis-5332	19	8	between	between	ADP
fis-5332	19	9	loads	load	NOUN
fis-5332	19	10	,	,	PUNCT
fis-5332	19	11	leaving	leave	VERB
fis-5332	19	12	ample	ample	ADJ
fis-5332	19	13	room	room	NOUN
fis-5332	19	14	for	for	ADP
fis-5332	19	15	enhancing	enhance	VERB
fis-5332	19	16	the	the	DET
fis-5332	19	17	precision	precision	NOUN
fis-5332	19	18	of	of	ADP
fis-5332	19	19	life	life	NOUN
fis-5332	19	20	prediction	prediction	NOUN
fis-5332	19	21	.	.	PUNCT
fis-5332	20	1	several	several	ADJ
fis-5332	20	2	scholars	scholar	NOUN
fis-5332	20	3	have	have	AUX
fis-5332	20	4	improved	improve	VERB
fis-5332	20	5	the	the	DET
fis-5332	20	6	model	model	NOUN
fis-5332	20	7	to	to	PART
fis-5332	20	8	address	address	VERB
fis-5332	20	9	this	this	DET
fis-5332	20	10	issue	issue	NOUN
fis-5332	20	11	.	.	PUNCT
fis-5332	21	1	lv	lv	INTJ
fis-5332	21	2	et	et	PROPN
fis-5332	21	3	al	al	PROPN
fis-5332	21	4	.	.	PUNCT
fis-5332	22	1	[	[	X
fis-5332	22	2	6	6	NUM
fis-5332	22	3	]	]	PUNCT
fis-5332	22	4	integrated	integrate	VERB
fis-5332	22	5	the	the	DET
fis-5332	22	6	influence	influence	NOUN
fis-5332	22	7	of	of	ADP
fis-5332	22	8	loading	loading	NOUN
fis-5332	22	9	interaction	interaction	NOUN
fis-5332	22	10	into	into	ADP
fis-5332	22	11	the	the	DET
fis-5332	22	12	ye	ye	PROPN
fis-5332	22	13	model	model	NOUN
fis-5332	22	14	through	through	ADP
fis-5332	22	15	the	the	DET
fis-5332	22	16	introduction	introduction	NOUN
fis-5332	22	17	of	of	ADP
fis-5332	22	18	a	a	DET
fis-5332	22	19	two	two	NUM
fis-5332	22	20	-	-	PUNCT
fis-5332	22	21	level	level	NOUN
fis-5332	22	22	loading	loading	NOUN
fis-5332	22	23	ratio	ratio	NOUN
fis-5332	22	24	.	.	PUNCT
fis-5332	23	1	wang	wang	PROPN
fis-5332	23	2	et	et	PROPN
fis-5332	23	3	al	al	PROPN
fis-5332	23	4	.	.	PUNCT
fis-5332	24	1	[	[	X
fis-5332	24	2	7	7	X
fis-5332	24	3	]	]	PUNCT
fis-5332	24	4	demonstrated	demonstrate	VERB
fis-5332	24	5	the	the	DET
fis-5332	24	6	impact	impact	NOUN
fis-5332	24	7	of	of	ADP
fis-5332	24	8	load	load	NOUN
fis-5332	24	9	interactions	interaction	NOUN
fis-5332	24	10	on	on	ADP
fis-5332	24	11	fatigue	fatigue	NOUN
fis-5332	24	12	damage	damage	NOUN
fis-5332	24	13	progression	progression	NOUN
fis-5332	24	14	by	by	ADP
fis-5332	24	15	factoring	factor	VERB
fis-5332	24	16	in	in	ADP
fis-5332	24	17	the	the	DET
fis-5332	24	18	square	square	NOUN
fis-5332	24	19	of	of	ADP
fis-5332	24	20	the	the	DET
fis-5332	24	21	load	load	NOUN
fis-5332	24	22	ratio	ratio	NOUN
fis-5332	24	23	between	between	ADP
fis-5332	24	24	successive	successive	ADJ
fis-5332	24	25	loading	loading	NOUN
fis-5332	24	26	stages	stage	NOUN
fis-5332	24	27	,	,	PUNCT
fis-5332	24	28	thereby	thereby	ADV
fis-5332	24	29	improving	improve	VERB
fis-5332	24	30	prediction	prediction	NOUN
fis-5332	24	31	precision	precision	NOUN
fis-5332	24	32	.	.	PUNCT
fis-5332	25	1	peng	peng	PROPN
fis-5332	25	2	et	et	PROPN
fis-5332	25	3	al	al	PROPN
fis-5332	25	4	.	.	PUNCT
fis-5332	26	1	[	[	X
fis-5332	26	2	8	8	NUM
fis-5332	26	3	]	]	PUNCT
fis-5332	26	4	considered	consider	VERB
fis-5332	26	5	both	both	CCONJ
fis-5332	26	6	the	the	DET
fis-5332	26	7	influence	influence	NOUN
fis-5332	26	8	of	of	ADP
fis-5332	26	9	loading	loading	NOUN
fis-5332	26	10	sequence	sequence	NOUN
fis-5332	26	11	and	and	CCONJ
fis-5332	26	12	the	the	DET
fis-5332	26	13	interplay	interplay	NOUN
fis-5332	26	14	between	between	ADP
fis-5332	26	15	two	two	NUM
fis-5332	26	16	loads	load	NOUN
fis-5332	26	17	when	when	SCONJ
fis-5332	26	18	assessing	assess	VERB
fis-5332	26	19	residual	residual	ADJ
fis-5332	26	20	life	life	NOUN
fis-5332	26	21	.	.	PUNCT
fis-5332	27	1	the	the	DET
fis-5332	27	2	fatigue	fatigue	NOUN
fis-5332	27	3	damage	damage	NOUN
fis-5332	27	4	models	model	NOUN
fis-5332	27	5	discussed	discuss	VERB
fis-5332	27	6	above	above	ADV
fis-5332	27	7	are	be	AUX
fis-5332	27	8	based	base	VERB
fis-5332	27	9	on	on	ADP
fis-5332	27	10	specific	specific	ADJ
fis-5332	27	11	physical	physical	ADJ
fis-5332	27	12	mechanisms	mechanism	NOUN
fis-5332	27	13	,	,	PUNCT
fis-5332	27	14	yet	yet	CCONJ
fis-5332	27	15	they	they	PRON
fis-5332	27	16	generally	generally	ADV
fis-5332	27	17	do	do	AUX
fis-5332	27	18	not	not	PART
fis-5332	27	19	account	account	VERB
fis-5332	27	20	for	for	ADP
fis-5332	27	21	the	the	DET
fis-5332	27	22	uncertainties	uncertainty	NOUN
fis-5332	27	23	arising	arise	VERB
fis-5332	27	24	from	from	ADP
fis-5332	27	25	various	various	ADJ
fis-5332	27	26	influencing	influence	VERB
fis-5332	27	27	factors	factor	NOUN
fis-5332	27	28	during	during	ADP
fis-5332	27	29	the	the	DET
fis-5332	27	30	fatigue	fatigue	NOUN
fis-5332	27	31	analysis	analysis	NOUN
fis-5332	27	32	of	of	ADP
fis-5332	27	33	welded	weld	VERB
fis-5332	27	34	structures	structure	NOUN
fis-5332	27	35	[	[	X
fis-5332	27	36	9	9	NUM
fis-5332	27	37	]	]	PUNCT
fis-5332	27	38	.	.	PUNCT
fis-5332	28	1	thus	thus	ADV
fis-5332	28	2	,	,	PUNCT
fis-5332	28	3	methods	method	NOUN
fis-5332	28	4	of	of	ADP
fis-5332	28	5	machine	machine	NOUN
fis-5332	28	6	learning	learning	NOUN
fis-5332	28	7	have	have	AUX
fis-5332	28	8	been	be	AUX
fis-5332	28	9	employed	employ	VERB
fis-5332	28	10	.	.	PUNCT
fis-5332	29	1	for	for	ADP
fis-5332	29	2	instance	instance	NOUN
fis-5332	29	3	,	,	PUNCT
fis-5332	29	4	gan	gan	PROPN
fis-5332	29	5	et	et	PROPN
fis-5332	29	6	al	al	PROPN
fis-5332	29	7	.	.	PUNCT
fis-5332	30	1	[	[	X
fis-5332	30	2	10	10	NUM
fis-5332	30	3	]	]	PUNCT
fis-5332	30	4	applied	apply	VERB
fis-5332	30	5	a	a	DET
fis-5332	30	6	data	data	NOUN
fis-5332	30	7	-	-	PUNCT
fis-5332	30	8	driven	drive	VERB
fis-5332	30	9	model	model	NOUN
fis-5332	30	10	,	,	PUNCT
fis-5332	30	11	grounded	ground	VERB
fis-5332	30	12	in	in	ADP
fis-5332	30	13	the	the	DET
fis-5332	30	14	kernel	kernel	PROPN
fis-5332	30	15	extreme	extreme	PROPN
fis-5332	30	16	learning	learn	VERB
fis-5332	30	17	machine	machine	NOUN
fis-5332	30	18	(	(	PUNCT
fis-5332	30	19	kelm	kelm	PROPN
fis-5332	30	20	)	)	PUNCT
fis-5332	30	21	,	,	PUNCT
fis-5332	30	22	to	to	PART
fis-5332	30	23	predict	predict	VERB
fis-5332	30	24	the	the	DET
fis-5332	30	25	residual	residual	ADJ
fis-5332	30	26	lifespan	lifespan	NOUN
fis-5332	30	27	of	of	ADP
fis-5332	30	28	welded	weld	VERB
fis-5332	30	29	materials	material	NOUN
fis-5332	30	30	subjected	subject	VERB
fis-5332	30	31	to	to	ADP
fis-5332	30	32	two	two	NUM
fis-5332	30	33	-	-	PUNCT
fis-5332	30	34	level	level	NOUN
fis-5332	30	35	loading	loading	NOUN
fis-5332	30	36	conditions	condition	NOUN
fis-5332	30	37	.	.	PUNCT
fis-5332	31	1	the	the	DET
fis-5332	31	2	model	model	NOUN
fis-5332	31	3	autonomously	autonomously	ADV
fis-5332	31	4	learns	learn	VERB
fis-5332	31	5	the	the	DET
fis-5332	31	6	best	good	ADJ
fis-5332	31	7	correlation	correlation	NOUN
fis-5332	31	8	from	from	ADP
fis-5332	31	9	the	the	DET
fis-5332	31	10	training	training	NOUN
fis-5332	31	11	samples	sample	NOUN
fis-5332	31	12	,	,	PUNCT
fis-5332	31	13	effectively	effectively	ADV
fis-5332	31	14	describing	describe	VERB
fis-5332	31	15	the	the	DET
fis-5332	31	16	fatigue	fatigue	NOUN
fis-5332	31	17	damage	damage	NOUN
fis-5332	31	18	mechanism	mechanism	NOUN
fis-5332	31	19	.	.	PUNCT
fis-5332	32	1	liu	liu	PROPN
fis-5332	32	2	et	et	PROPN
fis-5332	32	3	al	al	PROPN
fis-5332	32	4	.	.	PUNCT
fis-5332	33	1	[	[	X
fis-5332	33	2	11	11	NUM
fis-5332	33	3	]	]	PUNCT
fis-5332	33	4	utilized	utilize	VERB
fis-5332	33	5	three	three	NUM
fis-5332	33	6	algorithmic	algorithmic	ADJ
fis-5332	33	7	frameworks	framework	NOUN
fis-5332	33	8	—	—	PUNCT
fis-5332	33	9	specifically	specifically	ADV
fis-5332	33	10	,	,	PUNCT
fis-5332	33	11	random	random	ADJ
fis-5332	33	12	forest	forest	NOUN
fis-5332	33	13	(	(	PUNCT
fis-5332	33	14	rf	rf	NOUN
fis-5332	33	15	)	)	PUNCT
fis-5332	33	16	,	,	PUNCT
fis-5332	33	17	extremegradient	extremegradient	ADJ
fis-5332	33	18	boosting	boosting	NOUN
fis-5332	33	19	(	(	PUNCT
fis-5332	33	20	xgboost	xgboost	ADV
fis-5332	33	21	)	)	PUNCT
fis-5332	33	22	,	,	PUNCT
fis-5332	33	23	and	and	CCONJ
fis-5332	33	24	gradient	gradient	ADJ
fis-5332	33	25	boosting	boost	VERB
fis-5332	33	26	machines	machine	NOUN
fis-5332	33	27	(	(	PUNCT
fis-5332	33	28	gbm)—for	gbm)—for	ADP
fis-5332	33	29	forecasting	forecast	VERB
fis-5332	33	30	the	the	DET
fis-5332	33	31	fatigue	fatigue	NOUN
fis-5332	33	32	life	life	NOUN
fis-5332	33	33	of	of	ADP
fis-5332	33	34	highstrength	highstrength	NOUN
fis-5332	33	35	steels	steel	NOUN
fis-5332	33	36	.	.	PUNCT
fis-5332	34	1	among	among	ADP
fis-5332	34	2	these	these	PRON
fis-5332	34	3	,	,	PUNCT
fis-5332	34	4	the	the	DET
fis-5332	34	5	utilizing	utilize	VERB
fis-5332	34	6	gradient	gradient	NOUN
fis-5332	34	7	boosting	boosting	NOUN
fis-5332	34	8	demonstrated	demonstrate	VERB
fis-5332	34	9	the	the	DET
fis-5332	34	10	highest	high	ADJ
fis-5332	34	11	precision	precision	NOUN
fis-5332	34	12	in	in	ADP
fis-5332	34	13	estimating	estimate	VERB
fis-5332	34	14	the	the	DET
fis-5332	34	15	fatigue	fatigue	NOUN
fis-5332	34	16	lifetime	lifetime	NOUN
fis-5332	34	17	of	of	ADP
fis-5332	34	18	high	high	ADJ
fis-5332	34	19	-	-	PUNCT
fis-5332	34	20	strength	strength	NOUN
fis-5332	34	21	steels	steel	NOUN
fis-5332	34	22	under	under	ADP
fis-5332	34	23	extremely	extremely	ADV
fis-5332	34	24	high	high	ADJ
fis-5332	34	25	cycle	cycle	NOUN
fis-5332	34	26	conditions	condition	NOUN
fis-5332	34	27	.	.	PUNCT
fis-5332	35	1	matin	matin	PROPN
fis-5332	35	2	et	et	PROPN
fis-5332	35	3	al	al	PROPN
fis-5332	35	4	.	.	PUNCT
fis-5332	36	1	[	[	X
fis-5332	36	2	12	12	NUM
fis-5332	36	3	]	]	PUNCT
fis-5332	36	4	used	use	VERB
fis-5332	36	5	multiple	multiple	ADJ
fis-5332	36	6	machine	machine	NOUN
fis-5332	36	7	learning	learn	VERB
fis-5332	36	8	algorithms	algorithm	NOUN
fis-5332	36	9	to	to	PART
fis-5332	36	10	evaluate	evaluate	VERB
fis-5332	36	11	the	the	DET
fis-5332	36	12	factors	factor	NOUN
fis-5332	36	13	influencing	influence	VERB
fis-5332	36	14	piston	piston	NOUN
fis-5332	36	15	aluminum	aluminum	NOUN
fis-5332	36	16	alloy	alloy	NOUN
fis-5332	36	17	specimens	specimen	NOUN
fis-5332	36	18	and	and	CCONJ
fis-5332	36	19	the	the	DET
fis-5332	36	20	interactions	interaction	NOUN
fis-5332	36	21	that	that	PRON
fis-5332	36	22	affect	affect	VERB
fis-5332	36	23	fatigue	fatigue	NOUN
fis-5332	36	24	life	life	NOUN
fis-5332	36	25	values	value	NOUN
fis-5332	36	26	.	.	PUNCT
fis-5332	37	1	it	it	PRON
fis-5332	37	2	took	take	VERB
fis-5332	37	3	into	into	ADP
fis-5332	37	4	account	account	NOUN
fis-5332	37	5	the	the	DET
fis-5332	37	6	effect	effect	NOUN
fis-5332	37	7	of	of	ADP
fis-5332	37	8	various	various	ADJ
fis-5332	37	9	inputs	input	NOUN
fis-5332	37	10	on	on	ADP
fis-5332	37	11	fatigue	fatigue	NOUN
fis-5332	37	12	life	life	NOUN
fis-5332	37	13	.	.	PUNCT
fis-5332	38	1	zou	zou	PROPN
fis-5332	38	2	et	et	PROPN
fis-5332	38	3	al	al	PROPN
fis-5332	38	4	.	.	PUNCT
fis-5332	39	1	[	[	X
fis-5332	39	2	13	13	NUM
fis-5332	39	3	]	]	PUNCT
fis-5332	39	4	established	establish	VERB
fis-5332	39	5	a	a	DET
fis-5332	39	6	method	method	NOUN
fis-5332	39	7	for	for	ADP
fis-5332	39	8	predicting	predict	VERB
fis-5332	39	9	the	the	DET
fis-5332	39	10	fatigue	fatigue	NOUN
fis-5332	39	11	life	life	NOUN
fis-5332	39	12	of	of	ADP
fis-5332	39	13	welded	weld	VERB
fis-5332	39	14	joints	joint	NOUN
fis-5332	39	15	,	,	PUNCT
fis-5332	39	16	leveraging	leverage	VERB
fis-5332	39	17	the	the	DET
fis-5332	39	18	whale	whale	NOUN
fis-5332	39	19	optimization	optimization	NOUN
fis-5332	39	20	algorithm	algorithm	NOUN
fis-5332	39	21	alongside	alongside	ADP
fis-5332	39	22	the	the	DET
fis-5332	39	23	support	support	NOUN
fis-5332	39	24	vector	vector	NOUN
fis-5332	39	25	machine	machine	NOUN
fis-5332	39	26	(	(	PUNCT
fis-5332	39	27	svm	svm	PROPN
fis-5332	39	28	)	)	PUNCT
fis-5332	39	29	.	.	PUNCT
fis-5332	40	1	it	it	PRON
fis-5332	40	2	took	take	VERB
fis-5332	40	3	into	into	ADP
fis-5332	40	4	account	account	NOUN
fis-5332	40	5	the	the	DET
fis-5332	40	6	sequence	sequence	NOUN
fis-5332	40	7	and	and	CCONJ
fis-5332	40	8	interactions	interaction	NOUN
fis-5332	40	9	of	of	ADP
fis-5332	40	10	loads	load	NOUN
fis-5332	40	11	to	to	PART
fis-5332	40	12	estimate	estimate	VERB
fis-5332	40	13	the	the	DET
fis-5332	40	14	fatigue	fatigue	NOUN
fis-5332	40	15	life	life	NOUN
fis-5332	40	16	under	under	ADP
fis-5332	40	17	conditions	condition	NOUN
fis-5332	40	18	of	of	ADP
fis-5332	40	19	two	two	NUM
fis-5332	40	20	-	-	PUNCT
fis-5332	40	21	level	level	NOUN
fis-5332	40	22	loading	loading	NOUN
fis-5332	40	23	.	.	PUNCT
fis-5332	41	1	however	however	ADV
fis-5332	41	2	,	,	PUNCT
fis-5332	41	3	the	the	DET
fis-5332	41	4	accuracy	accuracy	NOUN
fis-5332	41	5	of	of	ADP
fis-5332	41	6	fatigue	fatigue	NOUN
fis-5332	41	7	life	life	NOUN
fis-5332	41	8	predictions	prediction	NOUN
fis-5332	41	9	made	make	VERB
fis-5332	41	10	by	by	ADP
fis-5332	41	11	machine	machine	NOUN
fis-5332	41	12	learning	learning	NOUN
fis-5332	41	13	models	model	NOUN
fis-5332	41	14	is	be	AUX
fis-5332	41	15	often	often	ADV
fis-5332	41	16	hampered	hamper	VERB
fis-5332	41	17	by	by	ADP
fis-5332	41	18	the	the	DET
fis-5332	41	19	scarcity	scarcity	NOUN
fis-5332	41	20	of	of	ADP
fis-5332	41	21	available	available	ADJ
fis-5332	41	22	fatigue	fatigue	NOUN
fis-5332	41	23	samples	sample	NOUN
fis-5332	41	24	.	.	PUNCT
fis-5332	42	1	obtaining	obtain	VERB
fis-5332	42	2	a	a	DET
fis-5332	42	3	sufficient	sufficient	ADJ
fis-5332	42	4	number	number	NOUN
fis-5332	42	5	of	of	ADP
fis-5332	42	6	fatigue	fatigue	NOUN
fis-5332	42	7	samples	sample	NOUN
fis-5332	42	8	is	be	AUX
fis-5332	42	9	challenging	challenge	VERB
fis-5332	42	10	due	due	ADJ
fis-5332	42	11	to	to	ADP
fis-5332	42	12	the	the	DET
fis-5332	42	13	large	large	ADJ
fis-5332	42	14	number	number	NOUN
fis-5332	42	15	and	and	CCONJ
fis-5332	42	16	difficulty	difficulty	NOUN
fis-5332	42	17	of	of	ADP
fis-5332	42	18	various	various	ADJ
fis-5332	42	19	conditions	condition	NOUN
fis-5332	42	20	required	require	VERB
fis-5332	42	21	for	for	ADP
fis-5332	42	22	fatigue	fatigue	NOUN
fis-5332	42	23	testing	testing	NOUN
fis-5332	42	24	,	,	PUNCT
fis-5332	42	25	leading	lead	VERB
fis-5332	42	26	to	to	ADP
fis-5332	42	27	inadequate	inadequate	ADJ
fis-5332	42	28	accuracy	accuracy	NOUN
fis-5332	42	29	in	in	ADP
fis-5332	42	30	predicting	predict	VERB
fis-5332	42	31	fatigue	fatigue	NOUN
fis-5332	42	32	life	life	NOUN
fis-5332	42	33	under	under	ADP
fis-5332	42	34	variable	variable	ADJ
fis-5332	42	35	loading	loading	NOUN
fis-5332	42	36	.	.	PUNCT
fis-5332	43	1	data	datum	NOUN
fis-5332	43	2	augmentation	augmentation	NOUN
fis-5332	43	3	is	be	AUX
fis-5332	43	4	a	a	DET
fis-5332	43	5	method	method	NOUN
fis-5332	43	6	to	to	PART
fis-5332	43	7	increase	increase	VERB
fis-5332	43	8	the	the	DET
fis-5332	43	9	amount	amount	NOUN
fis-5332	43	10	and	and	CCONJ
fis-5332	43	11	improve	improve	VERB
fis-5332	43	12	the	the	DET
fis-5332	43	13	quality	quality	NOUN
fis-5332	43	14	of	of	ADP
fis-5332	43	15	data	datum	NOUN
fis-5332	43	16	by	by	ADP
fis-5332	43	17	transforming	transform	VERB
fis-5332	43	18	,	,	PUNCT
fis-5332	43	19	augmenting	augment	VERB
fis-5332	43	20	or	or	CCONJ
fis-5332	43	21	synthesizing	synthesize	VERB
fis-5332	43	22	the	the	DET
fis-5332	43	23	original	original	ADJ
fis-5332	43	24	data	datum	NOUN
fis-5332	43	25	.	.	PUNCT
fis-5332	44	1	data	datum	NOUN
fis-5332	44	2	augmentation	augmentation	NOUN
fis-5332	44	3	methods	method	NOUN
fis-5332	44	4	such	such	ADJ
fis-5332	44	5	as	as	ADP
fis-5332	44	6	generative	generative	ADJ
fis-5332	44	7	adversarial	adversarial	ADJ
fis-5332	44	8	networks	network	NOUN
fis-5332	44	9	(	(	PUNCT
fis-5332	44	10	gan	gan	PROPN
fis-5332	44	11	)	)	PUNCT
fis-5332	45	1	[	[	X
fis-5332	45	2	14	14	NUM
fis-5332	45	3	]	]	PUNCT
fis-5332	45	4	have	have	AUX
fis-5332	45	5	emerged	emerge	VERB
fis-5332	45	6	.	.	PUNCT
fis-5332	46	1	gan	gan	PROPN
fis-5332	46	2	is	be	AUX
fis-5332	46	3	a	a	DET
fis-5332	46	4	form	form	NOUN
fis-5332	46	5	of	of	ADP
fis-5332	46	6	deep	deep	ADJ
fis-5332	46	7	learning	learning	NOUN
fis-5332	46	8	model	model	NOUN
fis-5332	46	9	,	,	PUNCT
fis-5332	46	10	proposed	propose	VERB
fis-5332	46	11	by	by	ADP
fis-5332	46	12	goodfellow	goodfellow	PROPN
fis-5332	46	13	in	in	ADP
fis-5332	46	14	2014	2014	NUM
fis-5332	46	15	,	,	PUNCT
fis-5332	46	16	with	with	ADP
fis-5332	46	17	the	the	DET
fis-5332	46	18	ability	ability	NOUN
fis-5332	46	19	to	to	PART
fis-5332	46	20	solve	solve	VERB
fis-5332	46	21	problems	problem	NOUN
fis-5332	46	22	associated	associate	VERB
fis-5332	46	23	with	with	ADP
fis-5332	46	24	limited	limited	ADJ
fis-5332	46	25	sample	sample	NOUN
fis-5332	46	26	sizes	size	NOUN
fis-5332	46	27	.	.	PUNCT
fis-5332	47	1	since	since	SCONJ
fis-5332	47	2	gan	gan	PROPN
fis-5332	47	3	is	be	AUX
fis-5332	47	4	proposed	propose	VERB
fis-5332	47	5	,	,	PUNCT
fis-5332	47	6	many	many	ADJ
fis-5332	47	7	variants	variant	NOUN
fis-5332	47	8	have	have	AUX
fis-5332	47	9	emerged	emerge	VERB
fis-5332	47	10	,	,	PUNCT
fis-5332	47	11	which	which	PRON
fis-5332	47	12	are	be	AUX
fis-5332	47	13	widely	widely	ADV
fis-5332	47	14	used	use	VERB
fis-5332	47	15	in	in	ADP
fis-5332	47	16	fields	field	NOUN
fis-5332	47	17	such	such	ADJ
fis-5332	47	18	as	as	ADP
fis-5332	47	19	computer	computer	NOUN
fis-5332	47	20	vision	vision	NOUN
fis-5332	47	21	,	,	PUNCT
fis-5332	47	22	medicine	medicine	NOUN
fis-5332	47	23	,	,	PUNCT
fis-5332	47	24	and	and	CCONJ
fis-5332	47	25	natural	natural	ADJ
fis-5332	47	26	language	language	NOUN
fis-5332	47	27	processing	processing	NOUN
fis-5332	47	28	.	.	PUNCT
fis-5332	48	1	in	in	ADP
fis-5332	48	2	the	the	DET
fis-5332	48	3	realm	realm	NOUN
fis-5332	48	4	of	of	ADP
fis-5332	48	5	fatigue	fatigue	NOUN
fis-5332	48	6	life	life	NOUN
fis-5332	48	7	analysis	analysis	NOUN
fis-5332	48	8	and	and	CCONJ
fis-5332	48	9	prediction	prediction	NOUN
fis-5332	48	10	,	,	PUNCT
fis-5332	48	11	their	their	PRON
fis-5332	48	12	utilization	utilization	NOUN
fis-5332	48	13	is	be	AUX
fis-5332	48	14	still	still	ADV
fis-5332	48	15	in	in	ADP
fis-5332	48	16	its	its	PRON
fis-5332	48	17	nascent	nascent	ADJ
fis-5332	48	18	phases	phase	NOUN
fis-5332	48	19	.	.	PUNCT
fis-5332	49	1	for	for	ADP
fis-5332	49	2	example	example	NOUN
fis-5332	49	3	,	,	PUNCT
fis-5332	49	4	he	he	PRON
fis-5332	49	5	et	et	VERB
fis-5332	49	6	al	al	PROPN
fis-5332	49	7	.	.	PUNCT
fis-5332	50	1	[	[	X
fis-5332	50	2	15	15	NUM
fis-5332	50	3	]	]	X
fis-5332	50	4	utilized	utilize	VERB
fis-5332	50	5	data	datum	NOUN
fis-5332	50	6	produced	produce	VERB
fis-5332	50	7	by	by	ADP
fis-5332	50	8	a	a	DET
fis-5332	50	9	table	table	NOUN
fis-5332	50	10	gan	gan	NOUN
fis-5332	50	11	within	within	ADP
fis-5332	50	12	a	a	DET
fis-5332	50	13	machine	machine	NOUN
fis-5332	50	14	learning	learn	VERB
fis-5332	50	15	framework	framework	NOUN
fis-5332	50	16	for	for	ADP
fis-5332	50	17	predicting	predict	VERB
fis-5332	50	18	multiaxial	multiaxial	ADJ
fis-5332	50	19	fatigue	fatigue	NOUN
fis-5332	50	20	life	life	NOUN
fis-5332	50	21	.	.	PUNCT
fis-5332	51	1	the	the	DET
fis-5332	51	2	inclusion	inclusion	NOUN
fis-5332	51	3	of	of	ADP
fis-5332	51	4	synthetic	synthetic	ADJ
fis-5332	51	5	data	datum	NOUN
fis-5332	51	6	enhanced	enhance	VERB
fis-5332	51	7	the	the	DET
fis-5332	51	8	predictive	predictive	ADJ
fis-5332	51	9	capacity	capacity	NOUN
fis-5332	51	10	of	of	ADP
fis-5332	51	11	the	the	DET
fis-5332	51	12	machine	machine	NOUN
fis-5332	51	13	learning	learning	NOUN
fis-5332	51	14	models	model	NOUN
fis-5332	51	15	in	in	ADP
fis-5332	51	16	estimating	estimate	VERB
fis-5332	51	17	life	life	NOUN
fis-5332	51	18	expectancy	expectancy	NOUN
fis-5332	51	19	,	,	PUNCT
fis-5332	51	20	the	the	DET
fis-5332	51	21	findings	finding	NOUN
fis-5332	51	22	suggested	suggest	VERB
fis-5332	51	23	.	.	PUNCT
fis-5332	52	1	sun	sun	PROPN
fis-5332	52	2	et	et	PROPN
fis-5332	52	3	al	al	PROPN
fis-5332	52	4	.	.	PUNCT
fis-5332	53	1	[	[	X
fis-5332	53	2	16	16	NUM
fis-5332	53	3	]	]	PUNCT
fis-5332	53	4	employed	employ	VERB
fis-5332	53	5	a	a	DET
fis-5332	53	6	cyclical	cyclical	ADJ
fis-5332	53	7	gan	gan	NOUN
fis-5332	53	8	to	to	PART
fis-5332	53	9	augment	augment	VERB
fis-5332	53	10	a	a	DET
fis-5332	53	11	dataset	dataset	NOUN
fis-5332	53	12	of	of	ADP
fis-5332	53	13	20	20	NUM
fis-5332	53	14	multiaxial	multiaxial	ADJ
fis-5332	53	15	fatigue	fatigue	NOUN
fis-5332	53	16	data	datum	NOUN
fis-5332	53	17	points	point	NOUN
fis-5332	53	18	,	,	PUNCT
fis-5332	53	19	expanding	expand	VERB
fis-5332	53	20	it	it	PRON
fis-5332	53	21	into	into	ADP
fis-5332	53	22	thousands	thousand	NOUN
fis-5332	53	23	of	of	ADP
fis-5332	53	24	comparable	comparable	ADJ
fis-5332	53	25	samples	sample	NOUN
fis-5332	53	26	.	.	PUNCT
fis-5332	54	1	this	this	DET
fis-5332	54	2	well	well	NOUN
fis-5332	54	3	balances	balance	VERB
fis-5332	54	4	the	the	DET
fis-5332	54	5	time	time	NOUN
fis-5332	54	6	cost	cost	NOUN
fis-5332	54	7	of	of	ADP
fis-5332	54	8	large	large	ADJ
fis-5332	54	9	sample	sample	NOUN
fis-5332	54	10	sizes	size	NOUN
fis-5332	54	11	with	with	ADP
fis-5332	54	12	prediction	prediction	NOUN
fis-5332	54	13	accuracy	accuracy	NOUN
fis-5332	54	14	.	.	PUNCT
fis-5332	55	1	he	he	PRON
fis-5332	55	2	et	et	PROPN
fis-5332	55	3	al	al	PROPN
fis-5332	55	4	.	.	PUNCT
fis-5332	56	1	[	[	X
fis-5332	56	2	17	17	NUM
fis-5332	56	3	]	]	PUNCT
fis-5332	56	4	introduced	introduce	VERB
fis-5332	56	5	a	a	DET
fis-5332	56	6	deep	deep	ADJ
fis-5332	56	7	learning	learning	NOUN
fis-5332	56	8	architecture	architecture	NOUN
fis-5332	56	9	that	that	PRON
fis-5332	56	10	combines	combine	VERB
fis-5332	56	11	a	a	DET
fis-5332	56	12	gan	gan	NOUN
fis-5332	56	13	with	with	ADP
fis-5332	56	14	a	a	DET
fis-5332	56	15	physical	physical	ADJ
fis-5332	56	16	model	model	NOUN
fis-5332	56	17	for	for	ADP
fis-5332	56	18	the	the	DET
fis-5332	56	19	purpose	purpose	NOUN
fis-5332	56	20	of	of	ADP
fis-5332	56	21	predicting	predict	VERB
fis-5332	56	22	multiaxial	multiaxial	ADJ
fis-5332	56	23	fatigue	fatigue	NOUN
fis-5332	56	24	life	life	NOUN
fis-5332	56	25	.	.	PUNCT
fis-5332	57	1	when	when	SCONJ
fis-5332	57	2	equipped	equip	VERB
fis-5332	57	3	with	with	ADP
fis-5332	57	4	i	i	PROPN
fis-5332	57	5	x.	x.	PROPN
fis-5332	57	6	cao	cao	PROPN
fis-5332	57	7	et	et	PROPN
fis-5332	57	8	alii	alii	PROPN
fis-5332	57	9	,	,	PUNCT
fis-5332	57	10	frattura	frattura	PROPN
fis-5332	57	11	ed	ed	PROPN
fis-5332	57	12	integrità	integrità	PROPN
fis-5332	57	13	strutturale	strutturale	PROPN
fis-5332	57	14	,	,	PUNCT
fis-5332	57	15	72	72	NUM
fis-5332	57	16	(	(	PUNCT
fis-5332	57	17	2025	2025	NUM
fis-5332	57	18	)	)	PUNCT
fis-5332	57	19	162	162	NUM
fis-5332	57	20	-	-	SYM
fis-5332	57	21	178	178	NUM
fis-5332	57	22	;	;	PUNCT
fis-5332	57	23	doi	doi	NOUN
fis-5332	57	24	:	:	PUNCT
fis-5332	57	25	10.3221	10.3221	NUM
fis-5332	57	26	/	/	SYM
fis-5332	57	27	igf	igf	PROPN
fis-5332	57	28	-	-	PUNCT
fis-5332	57	29	esis.72.12	esis.72.12	PROPN
fis-5332	57	30	164	164	NUM
fis-5332	57	31	suitable	suitable	ADJ
fis-5332	57	32	physical	physical	ADJ
fis-5332	57	33	constraints	constraint	NOUN
fis-5332	57	34	,	,	PUNCT
fis-5332	57	35	the	the	DET
fis-5332	57	36	model	model	NOUN
fis-5332	57	37	outperforms	outperform	VERB
fis-5332	57	38	the	the	DET
fis-5332	57	39	neural	neural	ADJ
fis-5332	57	40	network	network	NOUN
fis-5332	57	41	in	in	ADP
fis-5332	57	42	terms	term	NOUN
fis-5332	57	43	of	of	ADP
fis-5332	57	44	prediction	prediction	NOUN
fis-5332	57	45	accuracy	accuracy	NOUN
fis-5332	57	46	.	.	PUNCT
fis-5332	58	1	primarily	primarily	ADV
fis-5332	58	2	,	,	PUNCT
fis-5332	58	3	these	these	DET
fis-5332	58	4	models	model	NOUN
fis-5332	58	5	serve	serve	VERB
fis-5332	58	6	the	the	DET
fis-5332	58	7	purpose	purpose	NOUN
fis-5332	58	8	of	of	ADP
fis-5332	58	9	predicting	predict	VERB
fis-5332	58	10	multiaxial	multiaxial	ADJ
fis-5332	58	11	fatigue	fatigue	NOUN
fis-5332	58	12	life	life	NOUN
fis-5332	58	13	under	under	ADP
fis-5332	58	14	conditions	condition	NOUN
fis-5332	58	15	of	of	ADP
fis-5332	58	16	constant	constant	ADJ
fis-5332	58	17	amplitude	amplitude	NOUN
fis-5332	58	18	loading	loading	NOUN
fis-5332	58	19	.	.	PUNCT
fis-5332	59	1	however	however	ADV
fis-5332	59	2	,	,	PUNCT
fis-5332	59	3	welded	weld	VERB
fis-5332	59	4	structures	structure	NOUN
fis-5332	59	5	frequently	frequently	ADV
fis-5332	59	6	encounter	encounter	VERB
fis-5332	59	7	variable	variable	ADJ
fis-5332	59	8	amplitude	amplitude	NOUN
fis-5332	59	9	loading	loading	NOUN
fis-5332	59	10	scenarios	scenario	NOUN
fis-5332	59	11	in	in	ADP
fis-5332	59	12	practical	practical	ADJ
fis-5332	59	13	engineering	engineering	NOUN
fis-5332	59	14	applications	application	NOUN
fis-5332	59	15	,	,	PUNCT
fis-5332	59	16	resulting	result	VERB
fis-5332	59	17	in	in	ADP
fis-5332	59	18	fatigue	fatigue	NOUN
fis-5332	59	19	data	datum	NOUN
fis-5332	59	20	that	that	PRON
fis-5332	59	21	exhibits	exhibit	VERB
fis-5332	59	22	complexity	complexity	NOUN
fis-5332	59	23	and	and	CCONJ
fis-5332	59	24	dispersion	dispersion	NOUN
fis-5332	59	25	.	.	PUNCT
fis-5332	60	1	therefore	therefore	ADV
fis-5332	60	2	,	,	PUNCT
fis-5332	60	3	it	it	PRON
fis-5332	60	4	is	be	AUX
fis-5332	60	5	still	still	ADV
fis-5332	60	6	a	a	DET
fis-5332	60	7	problem	problem	NOUN
fis-5332	60	8	in	in	ADP
fis-5332	60	9	fatigue	fatigue	NOUN
fis-5332	60	10	research	research	NOUN
fis-5332	60	11	applications	application	NOUN
fis-5332	60	12	to	to	PART
fis-5332	60	13	enhance	enhance	VERB
fis-5332	60	14	effective	effective	ADJ
fis-5332	60	15	training	training	NOUN
fis-5332	60	16	samples	sample	NOUN
fis-5332	60	17	under	under	ADP
fis-5332	60	18	the	the	DET
fis-5332	60	19	variable	variable	ADJ
fis-5332	60	20	amplitude	amplitude	NOUN
fis-5332	60	21	loading	loading	NOUN
fis-5332	60	22	.	.	PUNCT
fis-5332	61	1	this	this	DET
fis-5332	61	2	work	work	NOUN
fis-5332	61	3	proposes	propose	VERB
fis-5332	61	4	a	a	DET
fis-5332	61	5	novel	novel	ADJ
fis-5332	61	6	augmented	augment	VERB
fis-5332	61	7	model	model	NOUN
fis-5332	61	8	for	for	ADP
fis-5332	61	9	fatigue	fatigue	NOUN
fis-5332	61	10	data	datum	NOUN
fis-5332	61	11	of	of	ADP
fis-5332	61	12	welded	weld	VERB
fis-5332	61	13	structures	structure	NOUN
fis-5332	61	14	subjected	subject	VERB
fis-5332	61	15	to	to	ADP
fis-5332	61	16	two	two	NUM
fis-5332	61	17	-	-	PUNCT
fis-5332	61	18	step	step	NOUN
fis-5332	61	19	loading	loading	NOUN
fis-5332	61	20	that	that	PRON
fis-5332	61	21	integrates	integrate	VERB
fis-5332	61	22	physical	physical	ADJ
fis-5332	61	23	mechanisms	mechanism	NOUN
fis-5332	61	24	.	.	PUNCT
fis-5332	62	1	the	the	DET
fis-5332	62	2	cumulative	cumulative	ADJ
fis-5332	62	3	damage	damage	NOUN
fis-5332	62	4	model	model	NOUN
fis-5332	62	5	-	-	PUNCT
fis-5332	62	6	peng	peng	PROPN
fis-5332	62	7	model	model	NOUN
fis-5332	62	8	is	be	AUX
fis-5332	62	9	integrated	integrate	VERB
fis-5332	62	10	into	into	ADP
fis-5332	62	11	the	the	DET
fis-5332	62	12	ctgan	ctgan	NOUN
fis-5332	62	13	as	as	ADP
fis-5332	62	14	a	a	DET
fis-5332	62	15	physical	physical	ADJ
fis-5332	62	16	loss	loss	NOUN
fis-5332	62	17	,	,	PUNCT
fis-5332	62	18	enabling	enable	VERB
fis-5332	62	19	the	the	DET
fis-5332	62	20	generated	generate	VERB
fis-5332	62	21	fatigue	fatigue	NOUN
fis-5332	62	22	data	datum	NOUN
fis-5332	62	23	to	to	PART
fis-5332	62	24	adhere	adhere	VERB
fis-5332	62	25	to	to	ADP
fis-5332	62	26	the	the	DET
fis-5332	62	27	relevant	relevant	ADJ
fis-5332	62	28	physical	physical	ADJ
fis-5332	62	29	mechanisms	mechanism	NOUN
fis-5332	62	30	.	.	PUNCT
fis-5332	63	1	the	the	DET
fis-5332	63	2	validity	validity	NOUN
fis-5332	63	3	of	of	ADP
fis-5332	63	4	the	the	DET
fis-5332	63	5	augmented	augment	VERB
fis-5332	63	6	model	model	NOUN
fis-5332	63	7	is	be	AUX
fis-5332	63	8	confirmed	confirm	VERB
fis-5332	63	9	through	through	ADP
fis-5332	63	10	testing	testing	NOUN
fis-5332	63	11	on	on	ADP
fis-5332	63	12	machine	machine	NOUN
fis-5332	63	13	learning	learning	NOUN
fis-5332	63	14	models	model	NOUN
fis-5332	63	15	.	.	PUNCT
fis-5332	64	1	the	the	DET
fis-5332	64	2	problem	problem	NOUN
fis-5332	64	3	of	of	ADP
fis-5332	64	4	insufficient	insufficient	ADJ
fis-5332	64	5	fatigue	fatigue	NOUN
fis-5332	64	6	data	datum	NOUN
fis-5332	64	7	for	for	ADP
fis-5332	64	8	residual	residual	ADJ
fis-5332	64	9	fatigue	fatigue	NOUN
fis-5332	64	10	life	life	NOUN
fis-5332	64	11	prediction	prediction	NOUN
fis-5332	64	12	under	under	ADP
fis-5332	64	13	two	two	NUM
fis-5332	64	14	-	-	PUNCT
fis-5332	64	15	step	step	NOUN
fis-5332	64	16	loading	loading	NOUN
fis-5332	64	17	is	be	AUX
fis-5332	64	18	solved	solve	VERB
fis-5332	64	19	.	.	PUNCT
fis-5332	65	1	the	the	DET
fis-5332	65	2	accuracy	accuracy	NOUN
fis-5332	65	3	of	of	ADP
fis-5332	65	4	the	the	DET
fis-5332	65	5	machine	machine	NOUN
fis-5332	65	6	learning	learning	NOUN
fis-5332	65	7	models	model	NOUN
fis-5332	65	8	for	for	ADP
fis-5332	65	9	fatigue	fatigue	NOUN
fis-5332	65	10	life	life	NOUN
fis-5332	65	11	prediction	prediction	NOUN
fis-5332	65	12	of	of	ADP
fis-5332	65	13	welded	weld	VERB
fis-5332	65	14	structures	structure	NOUN
fis-5332	65	15	is	be	AUX
fis-5332	65	16	further	far	ADV
fis-5332	65	17	improved	improve	VERB
fis-5332	65	18	.	.	PUNCT
fis-5332	66	1	basic	basic	ADJ
fis-5332	66	2	theory	theory	NOUN
fis-5332	66	3	ye	ye	PRON
fis-5332	66	4	and	and	CCONJ
fis-5332	66	5	its	its	PRON
fis-5332	66	6	modified	modified	ADJ
fis-5332	66	7	model	model	NOUN
fis-5332	66	8	rom	rom	PROPN
fis-5332	66	9	a	a	DET
fis-5332	66	10	macro	macro	ADJ
fis-5332	66	11	-	-	ADJ
fis-5332	66	12	physics	physics	ADJ
fis-5332	66	13	standpoint	standpoint	NOUN
fis-5332	66	14	,	,	PUNCT
fis-5332	66	15	the	the	DET
fis-5332	66	16	process	process	NOUN
fis-5332	66	17	of	of	ADP
fis-5332	66	18	fatigue	fatigue	NOUN
fis-5332	66	19	damage	damage	NOUN
fis-5332	66	20	accumulation	accumulation	NOUN
fis-5332	66	21	can	can	AUX
fis-5332	66	22	be	be	AUX
fis-5332	66	23	interpreted	interpret	VERB
fis-5332	66	24	as	as	ADP
fis-5332	66	25	a	a	DET
fis-5332	66	26	progressive	progressive	ADJ
fis-5332	66	27	degradation	degradation	NOUN
fis-5332	66	28	and	and	CCONJ
fis-5332	66	29	decline	decline	NOUN
fis-5332	66	30	in	in	ADP
fis-5332	66	31	the	the	DET
fis-5332	66	32	structural	structural	ADJ
fis-5332	66	33	properties	property	NOUN
fis-5332	66	34	.	.	PUNCT
fis-5332	67	1	therefore	therefore	ADV
fis-5332	67	2	,	,	PUNCT
fis-5332	67	3	the	the	DET
fis-5332	67	4	alterations	alteration	NOUN
fis-5332	67	5	in	in	ADP
fis-5332	67	6	material	material	NOUN
fis-5332	67	7	's	's	PART
fis-5332	67	8	macroscopic	macroscopic	ADJ
fis-5332	67	9	characteristics	characteristic	NOUN
fis-5332	67	10	can	can	AUX
fis-5332	67	11	be	be	AUX
fis-5332	67	12	considered	consider	VERB
fis-5332	67	13	as	as	ADP
fis-5332	67	14	damage	damage	NOUN
fis-5332	67	15	variables	variable	NOUN
fis-5332	67	16	to	to	PART
fis-5332	67	17	measure	measure	VERB
fis-5332	67	18	fatigue	fatigue	NOUN
fis-5332	67	19	damage	damage	NOUN
fis-5332	67	20	.	.	PUNCT
fis-5332	68	1	ye	ye	PRON
fis-5332	68	2	et	et	PROPN
fis-5332	68	3	al	al	PROPN
fis-5332	68	4	.	.	PUNCT
fis-5332	69	1	[	[	X
fis-5332	69	2	5	5	NUM
fis-5332	69	3	]	]	PUNCT
fis-5332	69	4	discovered	discover	VERB
fis-5332	69	5	through	through	ADP
fis-5332	69	6	extensive	extensive	ADJ
fis-5332	69	7	fatigue	fatigue	NOUN
fis-5332	69	8	testing	testing	NOUN
fis-5332	69	9	that	that	SCONJ
fis-5332	69	10	the	the	DET
fis-5332	69	11	most	most	ADV
fis-5332	69	12	significant	significant	ADJ
fis-5332	69	13	change	change	NOUN
fis-5332	69	14	in	in	ADP
fis-5332	69	15	the	the	DET
fis-5332	69	16	material	material	NOUN
fis-5332	69	17	's	's	PART
fis-5332	69	18	fatigue	fatigue	NOUN
fis-5332	69	19	damage	damage	NOUN
fis-5332	69	20	history	history	NOUN
fis-5332	69	21	is	be	AUX
fis-5332	69	22	its	its	PRON
fis-5332	69	23	toughness	toughness	NOUN
fis-5332	69	24	.	.	PUNCT
fis-5332	70	1	consequently	consequently	ADV
fis-5332	70	2	,	,	PUNCT
fis-5332	70	3	a	a	DET
fis-5332	70	4	nonlinear	nonlinear	ADJ
fis-5332	70	5	cumulative	cumulative	ADJ
fis-5332	70	6	damage	damage	NOUN
fis-5332	70	7	model	model	NOUN
fis-5332	70	8	was	be	AUX
fis-5332	70	9	introduced	introduce	VERB
fis-5332	70	10	,	,	PUNCT
fis-5332	70	11	emphasizing	emphasize	VERB
fis-5332	70	12	the	the	DET
fis-5332	70	13	dissipation	dissipation	NOUN
fis-5332	70	14	of	of	ADP
fis-5332	70	15	material	material	ADJ
fis-5332	70	16	toughness	toughness	NOUN
fis-5332	70	17	.	.	PUNCT
fis-5332	71	1	the	the	DET
fis-5332	71	2	fatigue	fatigue	NOUN
fis-5332	71	3	damage	damage	NOUN
fis-5332	71	4	evolution	evolution	NOUN
fis-5332	71	5	equation	equation	NOUN
fis-5332	71	6	in	in	ADP
fis-5332	71	7	ye	ye	PROPN
fis-5332	71	8	model	model	NOUN
fis-5332	71	9	is	be	AUX
fis-5332	71	10	shown	show	VERB
fis-5332	71	11	as	as	ADP
fis-5332	71	12	eqn.(1	eqn.(1	PROPN
fis-5332	71	13	)	)	PUNCT
fis-5332	71	14	:	:	PUNCT
fis-5332	71	15	(	(	PUNCT
fis-5332	71	16	)	)	PUNCT
fis-5332	71	17			PROPN
fis-5332	71	18			X
fis-5332	72	1	−	−	INTJ
fis-5332	72	2			NOUN
fis-5332	72	3			VERB
fis-5332	72	4			NOUN
fis-5332	73	1	≈	≈	ADP
fis-5332	73	2	−	−	PROPN
fis-5332	73	3	f	f	PROPN
fis-5332	73	4	n	n	PROPN
fis-5332	73	5	f	f	PROPN
fis-5332	73	6	n	n	CCONJ
fis-5332	73	7	n	n	PROPN
fis-5332	73	8	d	d	PROPN
fis-5332	73	9	n	n	NOUN
fis-5332	73	10	ln	ln	PROPN
fis-5332	73	11	1	1	NUM
fis-5332	73	12	ln	ln	NOUN
fis-5332	73	13	(	(	PUNCT
fis-5332	73	14	1	1	NUM
fis-5332	73	15	)	)	PUNCT
fis-5332	73	16	where	where	SCONJ
fis-5332	73	17	fn	fn	NOUN
fis-5332	73	18	denotes	denote	VERB
fis-5332	73	19	the	the	DET
fis-5332	73	20	fatigue	fatigue	NOUN
fis-5332	73	21	life	life	NOUN
fis-5332	73	22	under	under	ADP
fis-5332	73	23	stress	stress	NOUN
fis-5332	73	24	σ	σ	NOUN
fis-5332	73	25	,	,	PUNCT
fis-5332	73	26	n	n	PRON
fis-5332	73	27	represents	represent	VERB
fis-5332	73	28	the	the	DET
fis-5332	73	29	number	number	NOUN
fis-5332	73	30	of	of	ADP
fis-5332	73	31	cycles	cycle	NOUN
fis-5332	73	32	under	under	ADP
fis-5332	73	33	stress	stress	NOUN
fis-5332	73	34	σ	σ	NOUN
fis-5332	73	35	,	,	PUNCT
fis-5332	73	36	and	and	CCONJ
fis-5332	73	37	nd	nd	PRON
fis-5332	73	38	signifies	signify	VERB
fis-5332	73	39	the	the	DET
fis-5332	73	40	cumulative	cumulative	ADJ
fis-5332	73	41	damage	damage	NOUN
fis-5332	73	42	variable	variable	NOUN
fis-5332	73	43	after	after	ADP
fis-5332	73	44	n	n	X
fis-5332	73	45	cycles	cycle	NOUN
fis-5332	73	46	of	of	ADP
fis-5332	73	47	stress	stress	NOUN
fis-5332	73	48	σ	σ	PROPN
fis-5332	73	49	.	.	PUNCT
fis-5332	74	1	fig	fig	PROPN
fis-5332	74	2	1	1	NUM
fis-5332	74	3	.	.	PUNCT
fis-5332	74	4	displays	display	VERB
fis-5332	74	5	the	the	DET
fis-5332	74	6	fatigue	fatigue	NOUN
fis-5332	74	7	damage	damage	NOUN
fis-5332	74	8	curves	curve	NOUN
fis-5332	74	9	obtained	obtain	VERB
fis-5332	74	10	under	under	ADP
fis-5332	74	11	two	two	NUM
fis-5332	74	12	-	-	PUNCT
fis-5332	74	13	step	step	NOUN
fis-5332	74	14	loading	loading	NOUN
fis-5332	74	15	conditions	condition	NOUN
fis-5332	74	16	.	.	PUNCT
fis-5332	75	1	figure	figure	NOUN
fis-5332	75	2	1	1	NUM
fis-5332	75	3	:	:	PUNCT
fis-5332	75	4	fatigue	fatigue	NOUN
fis-5332	75	5	damage	damage	NOUN
fis-5332	75	6	curves	curve	NOUN
fis-5332	75	7	under	under	ADP
fis-5332	75	8	two	two	NUM
fis-5332	75	9	-	-	PUNCT
fis-5332	75	10	step	step	NOUN
fis-5332	75	11	loading	loading	NOUN
fis-5332	75	12	.	.	PUNCT
fis-5332	76	1	based	base	VERB
fis-5332	76	2	on	on	ADP
fis-5332	76	3	the	the	DET
fis-5332	76	4	ye	ye	PROPN
fis-5332	76	5	model	model	NOUN
fis-5332	76	6	,	,	PUNCT
fis-5332	76	7	after	after	ADP
fis-5332	76	8	n1	n1	ADJ
fis-5332	76	9	cycles	cycle	NOUN
fis-5332	76	10	of	of	ADP
fis-5332	76	11	σ1	σ1	PROPN
fis-5332	76	12	,	,	PUNCT
fis-5332	76	13	the	the	DET
fis-5332	76	14	fatigue	fatigue	NOUN
fis-5332	76	15	cumulative	cumulative	ADJ
fis-5332	76	16	damage	damage	NOUN
fis-5332	76	17	value	value	NOUN
fis-5332	76	18	is	be	AUX
fis-5332	76	19	:	:	PUNCT
fis-5332	76	20	f	f	PROPN
fis-5332	76	21	x.	x.	PROPN
fis-5332	76	22	cao	cao	PROPN
fis-5332	76	23	et	et	PROPN
fis-5332	76	24	alii	alii	PROPN
fis-5332	76	25	,	,	PUNCT
fis-5332	76	26	frattura	frattura	PROPN
fis-5332	76	27	ed	ed	PROPN
fis-5332	76	28	integrità	integrità	PROPN
fis-5332	76	29	strutturale	strutturale	PROPN
fis-5332	76	30	,	,	PUNCT
fis-5332	76	31	72	72	NUM
fis-5332	76	32	(	(	PUNCT
fis-5332	76	33	2025	2025	NUM
fis-5332	76	34	)	)	PUNCT
fis-5332	76	35	162	162	NUM
fis-5332	76	36	-	-	SYM
fis-5332	76	37	178	178	NUM
fis-5332	76	38	;	;	PUNCT
fis-5332	76	39	doi	doi	NOUN
fis-5332	76	40	:	:	PUNCT
fis-5332	76	41	10.3221	10.3221	NUM
fis-5332	76	42	/	/	SYM
fis-5332	76	43	igf	igf	PROPN
fis-5332	76	44	-	-	PUNCT
fis-5332	76	45	esis.72.12	esis.72.12	PROPN
fis-5332	76	46	165	165	NUM
fis-5332	76	47	(	(	PUNCT
fis-5332	76	48	)	)	PUNCT
fis-5332	76	49			PROPN
fis-5332	76	50			X
fis-5332	77	1	−	−	INTJ
fis-5332	77	2			NOUN
fis-5332	77	3			VERB
fis-5332	77	4			NOUN
fis-5332	77	5	=	=	VERB
fis-5332	77	6	−	−	PROPN
fis-5332	78	1	f	f	PROPN
fis-5332	79	1	a	a	PRON
fis-5332	79	2	f	f	PROPN
fis-5332	79	3	n	n	CCONJ
fis-5332	79	4	n	n	PROPN
fis-5332	79	5	d	d	PROPN
fis-5332	79	6	n	n	NUM
fis-5332	79	7	1	1	NUM
fis-5332	79	8	1	1	NUM
fis-5332	79	9	1	1	NUM
fis-5332	79	10	ln	ln	NOUN
fis-5332	79	11	1	1	NUM
fis-5332	79	12	ln	ln	NOUN
fis-5332	79	13	(	(	PUNCT
fis-5332	79	14	2	2	X
fis-5332	79	15	)	)	PUNCT
fis-5332	79	16	it	it	PRON
fis-5332	79	17	is	be	AUX
fis-5332	79	18	equivalent	equivalent	ADJ
fis-5332	79	19	to	to	ADP
fis-5332	79	20	the	the	DET
fis-5332	79	21	damage	damage	NOUN
fis-5332	79	22	incurred	incur	VERB
fis-5332	79	23	by	by	ADP
fis-5332	79	24	′n2	′n2	ADJ
fis-5332	79	25	cycles	cycle	NOUN
fis-5332	79	26	of	of	ADP
fis-5332	79	27	σ	σ	PROPN
fis-5332	79	28	2	2	NUM
fis-5332	79	29	as	as	SCONJ
fis-5332	79	30	illustrated	illustrate	VERB
fis-5332	79	31	in	in	ADP
fis-5332	79	32	eqn.(3	eqn.(3	NUM
fis-5332	79	33	)	)	PUNCT
fis-5332	79	34	.	.	PUNCT
fis-5332	80	1	(	(	PUNCT
fis-5332	80	2	)	)	PUNCT
fis-5332	80	3			PROPN
fis-5332	80	4	′	′	NOUN
fis-5332	81	1	−	−	ADV
fis-5332	81	2			NOUN
fis-5332	81	3			VERB
fis-5332	81	4			NOUN
fis-5332	81	5	=	=	VERB
fis-5332	81	6	−	−	PROPN
fis-5332	82	1	f	f	PROPN
fis-5332	82	2	b	b	PROPN
fis-5332	82	3	f	f	PROPN
fis-5332	82	4	n	n	CCONJ
fis-5332	82	5	n	n	PROPN
fis-5332	82	6	d	d	PROPN
fis-5332	82	7	n	n	NUM
fis-5332	82	8	2	2	NUM
fis-5332	82	9	2	2	NUM
fis-5332	82	10	2	2	NUM
fis-5332	82	11	ln	ln	NOUN
fis-5332	82	12	1	1	NUM
fis-5332	82	13	ln	ln	NOUN
fis-5332	82	14	(	(	PUNCT
fis-5332	82	15	3	3	NUM
fis-5332	82	16	)	)	PUNCT
fis-5332	82	17	according	accord	VERB
fis-5332	82	18	to	to	ADP
fis-5332	82	19	the	the	DET
fis-5332	82	20	principle	principle	NOUN
fis-5332	82	21	of	of	ADP
fis-5332	82	22	equivalent	equivalent	ADJ
fis-5332	82	23	damage	damage	NOUN
fis-5332	82	24	,	,	PUNCT
fis-5332	82	25	it	it	PRON
fis-5332	82	26	can	can	AUX
fis-5332	82	27	be	be	AUX
fis-5332	82	28	obtained	obtain	VERB
fis-5332	82	29	that	that	SCONJ
fis-5332	82	30	the	the	DET
fis-5332	82	31	corresponded	corresponded	ADJ
fis-5332	82	32	damage	damage	NOUN
fis-5332	82	33	at	at	ADP
fis-5332	82	34	a	a	PRON
fis-5332	82	35	and	and	CCONJ
fis-5332	82	36	b	b	NOUN
fis-5332	82	37	is	be	AUX
fis-5332	82	38	the	the	DET
fis-5332	82	39	same	same	ADJ
fis-5332	82	40	,	,	PUNCT
fis-5332	82	41	i.e.	i.e.	X
fis-5332	82	42	=	=	SYM
fis-5332	82	43	a	a	PRON
fis-5332	82	44	bd	bd	PROPN
fis-5332	82	45	d	d	X
fis-5332	82	46	(	(	PUNCT
fis-5332	82	47	4	4	NUM
fis-5332	82	48	)	)	PUNCT
fis-5332	82	49	by	by	ADP
fis-5332	82	50	substituting	substitute	VERB
fis-5332	82	51	eqn	eqn	NOUN
fis-5332	82	52	.	.	PUNCT
fis-5332	83	1	(	(	PUNCT
fis-5332	83	2	2	2	NUM
fis-5332	83	3	)	)	PUNCT
fis-5332	83	4	and	and	CCONJ
fis-5332	83	5	eqn	eqn	PROPN
fis-5332	83	6	.	.	PUNCT
fis-5332	84	1	(	(	PUNCT
fis-5332	84	2	3	3	X
fis-5332	84	3	)	)	PUNCT
fis-5332	84	4	into	into	ADP
fis-5332	84	5	eqn	eqn	NOUN
fis-5332	84	6	.	.	PUNCT
fis-5332	85	1	(	(	PUNCT
fis-5332	85	2	4	4	NUM
fis-5332	85	3	)	)	PUNCT
fis-5332	85	4	,	,	PUNCT
fis-5332	85	5	we	we	PRON
fis-5332	85	6	obtain	obtain	VERB
fis-5332	85	7	:	:	PUNCT
fis-5332	85	8	(	(	PUNCT
fis-5332	85	9	)	)	PUNCT
fis-5332	85	10	(	(	PUNCT
fis-5332	85	11	)	)	PUNCT
fis-5332	85	12			PROPN
fis-5332	85	13	′	′	NOUN
fis-5332	86	1	=	=	PRON
fis-5332	87	1	−	−	PROPN
fis-5332	87	2	−	−	INTJ
fis-5332	87	3			NOUN
fis-5332	87	4			VERB
fis-5332	87	5			PRON
fis-5332	87	6			PUNCT
fis-5332	88	1	f	f	NOUN
fis-5332	88	2	f	f	PROPN
fis-5332	88	3	n	n	CCONJ
fis-5332	88	4	n	n	PROPN
fis-5332	88	5	f	f	PROPN
fis-5332	88	6	f	f	PROPN
fis-5332	88	7	n	n	CCONJ
fis-5332	88	8	n	n	CCONJ
fis-5332	88	9	n	n	CCONJ
fis-5332	88	10	n	n	ADV
fis-5332	88	11	2	2	NUM
fis-5332	88	12	1	1	NUM
fis-5332	88	13	ln	ln	NOUN
fis-5332	88	14	ln	ln	ADJ
fis-5332	88	15	2	2	NUM
fis-5332	88	16	1	1	NUM
fis-5332	88	17	2	2	NUM
fis-5332	88	18	1	1	NUM
fis-5332	88	19	1	1	NUM
fis-5332	88	20	1	1	NUM
fis-5332	88	21	(	(	PUNCT
fis-5332	88	22	5	5	NUM
fis-5332	88	23	)	)	PUNCT
fis-5332	88	24	typically	typically	ADV
fis-5332	88	25	,	,	PUNCT
fis-5332	88	26	fatigue	fatigue	NOUN
fis-5332	88	27	damage	damage	NOUN
fis-5332	88	28	arises	arise	VERB
fis-5332	88	29	when	when	SCONJ
fis-5332	88	30	the	the	DET
fis-5332	88	31	cumulative	cumulative	ADJ
fis-5332	88	32	damage	damage	NOUN
fis-5332	88	33	d	d	PROPN
fis-5332	88	34	attains	attain	VERB
fis-5332	88	35	a	a	DET
fis-5332	88	36	critical	critical	ADJ
fis-5332	88	37	limit	limit	NOUN
fis-5332	88	38	,	,	PUNCT
fis-5332	88	39	which	which	PRON
fis-5332	88	40	is	be	AUX
fis-5332	88	41	defined	define	VERB
fis-5332	88	42	as	as	ADP
fis-5332	88	43	1	1	NUM
fis-5332	88	44	in	in	ADP
fis-5332	88	45	the	the	DET
fis-5332	88	46	ye	ye	PROPN
fis-5332	88	47	model	model	NOUN
fis-5332	88	48	.	.	PUNCT
fis-5332	89	1	currently	currently	ADV
fis-5332	89	2	,	,	PUNCT
fis-5332	89	3	the	the	DET
fis-5332	89	4	formulation	formulation	NOUN
fis-5332	89	5	for	for	ADP
fis-5332	89	6	cumulative	cumulative	ADJ
fis-5332	89	7	damage	damage	NOUN
fis-5332	89	8	criterion	criterion	NOUN
fis-5332	89	9	is	be	AUX
fis-5332	89	10	presented	present	VERB
fis-5332	89	11	in	in	ADP
fis-5332	89	12	eqn	eqn	NOUN
fis-5332	89	13	.	.	PUNCT
fis-5332	90	1	(	(	PUNCT
fis-5332	90	2	6	6	NUM
fis-5332	90	3	)	)	PUNCT
fis-5332	90	4	.	.	PUNCT
fis-5332	91	1	(	(	PUNCT
fis-5332	91	2	)	)	PUNCT
fis-5332	91	3	(	(	PUNCT
fis-5332	91	4	)	)	PUNCT
fis-5332	91	5			PROPN
fis-5332	91	6	′	′	NOUN
fis-5332	92	1	+	+	CCONJ
fis-5332	92	2	=	=	SYM
fis-5332	93	1	−	−	NOUN
fis-5332	93	2	−	−	PROPN
fis-5332	94	1	+	+	CCONJ
fis-5332	94	2	=	=	AUX
fis-5332	94	3			NOUN
fis-5332	94	4			NOUN
fis-5332	94	5			VERB
fis-5332	94	6			PRON
fis-5332	94	7			PUNCT
fis-5332	95	1	f	f	NOUN
fis-5332	95	2	f	f	PROPN
fis-5332	95	3	n	n	CCONJ
fis-5332	95	4	n	n	PROPN
fis-5332	95	5	f	f	NOUN
fis-5332	95	6	f	f	PROPN
fis-5332	95	7	f	f	PROPN
fis-5332	95	8	f	f	PROPN
fis-5332	95	9	n	n	CCONJ
fis-5332	95	10	n	n	CCONJ
fis-5332	95	11	n	n	CCONJ
fis-5332	95	12	n	n	CCONJ
fis-5332	95	13	n	n	CCONJ
fis-5332	95	14	n	n	CCONJ
fis-5332	95	15	n	n	CCONJ
fis-5332	95	16	n	n	ADV
fis-5332	95	17	2	2	NUM
fis-5332	95	18	1	1	NUM
fis-5332	95	19	ln	ln	NOUN
fis-5332	95	20	ln	ln	ADJ
fis-5332	95	21	2	2	NUM
fis-5332	95	22	2	2	NUM
fis-5332	95	23	1	1	NUM
fis-5332	95	24	2	2	NUM
fis-5332	95	25	2	2	NUM
fis-5332	95	26	2	2	NUM
fis-5332	95	27	1	1	NUM
fis-5332	95	28	2	2	NUM
fis-5332	95	29	1	1	NUM
fis-5332	95	30	1	1	NUM
fis-5332	95	31	1	1	NUM
fis-5332	95	32	(	(	PUNCT
fis-5332	95	33	6	6	NUM
fis-5332	95	34	)	)	PUNCT
fis-5332	95	35	thus	thus	ADV
fis-5332	95	36	the	the	DET
fis-5332	95	37	predicted	predict	VERB
fis-5332	95	38	value	value	NOUN
fis-5332	95	39	of	of	ADP
fis-5332	95	40	the	the	DET
fis-5332	95	41	remaining	remain	VERB
fis-5332	95	42	life	life	NOUN
fis-5332	95	43	by	by	ADP
fis-5332	95	44	using	use	VERB
fis-5332	95	45	ye	ye	NOUN
fis-5332	95	46	model	model	NOUN
fis-5332	95	47	for	for	ADP
fis-5332	95	48	two	two	NUM
fis-5332	95	49	-	-	PUNCT
fis-5332	95	50	step	step	NOUN
fis-5332	95	51	loading	loading	NOUN
fis-5332	95	52	could	could	AUX
fis-5332	95	53	be	be	AUX
fis-5332	95	54	reached	reach	VERB
fis-5332	95	55	as	as	SCONJ
fis-5332	95	56	shown	show	VERB
fis-5332	95	57	in	in	ADP
fis-5332	95	58	eqn	eqn	NOUN
fis-5332	95	59	.	.	PUNCT
fis-5332	96	1	(	(	PUNCT
fis-5332	96	2	7	7	NUM
fis-5332	96	3	)	)	PUNCT
fis-5332	96	4	:	:	PUNCT
fis-5332	96	5	(	(	PUNCT
fis-5332	96	6	)	)	PUNCT
fis-5332	96	7	(	(	PUNCT
fis-5332	96	8	)	)	PUNCT
fis-5332	96	9			PROPN
fis-5332	96	10			PUNCT
fis-5332	97	1	=	=	PUNCT
fis-5332	97	2	−	−	INTJ
fis-5332	97	3			NOUN
fis-5332	97	4			VERB
fis-5332	97	5			PRON
fis-5332	97	6			PUNCT
fis-5332	98	1	f	f	NOUN
fis-5332	98	2	f	f	PROPN
fis-5332	98	3	n	n	CCONJ
fis-5332	98	4	n	n	PROPN
fis-5332	98	5	f	f	PROPN
fis-5332	98	6	f	f	PROPN
fis-5332	98	7	n	n	CCONJ
fis-5332	98	8	n	n	CCONJ
fis-5332	98	9	n	n	CCONJ
fis-5332	98	10	n	n	ADV
fis-5332	98	11	2	2	NUM
fis-5332	98	12	1	1	NUM
fis-5332	98	13	ln	ln	NOUN
fis-5332	98	14	ln	ln	ADJ
fis-5332	98	15	2	2	NUM
fis-5332	98	16	1	1	NUM
fis-5332	98	17	2	2	NUM
fis-5332	98	18	1	1	NUM
fis-5332	98	19	1	1	NUM
fis-5332	98	20	(	(	PUNCT
fis-5332	98	21	7	7	NUM
fis-5332	98	22	)	)	PUNCT
fis-5332	98	23	despite	despite	SCONJ
fis-5332	98	24	the	the	DET
fis-5332	98	25	simplicity	simplicity	NOUN
fis-5332	98	26	of	of	ADP
fis-5332	98	27	its	its	PRON
fis-5332	98	28	form	form	NOUN
fis-5332	98	29	and	and	CCONJ
fis-5332	98	30	the	the	DET
fis-5332	98	31	clear	clear	ADJ
fis-5332	98	32	physical	physical	ADJ
fis-5332	98	33	meaning	meaning	NOUN
fis-5332	98	34	of	of	ADP
fis-5332	98	35	the	the	DET
fis-5332	98	36	ye	ye	PROPN
fis-5332	98	37	model	model	NOUN
fis-5332	98	38	,	,	PUNCT
fis-5332	98	39	it	it	PRON
fis-5332	98	40	fails	fail	VERB
fis-5332	98	41	to	to	PART
fis-5332	98	42	reflect	reflect	VERB
fis-5332	98	43	the	the	DET
fis-5332	98	44	influences	influence	NOUN
fis-5332	98	45	of	of	ADP
fis-5332	98	46	load	load	NOUN
fis-5332	98	47	interactions	interaction	NOUN
fis-5332	98	48	under	under	ADP
fis-5332	98	49	conditions	condition	NOUN
fis-5332	98	50	of	of	ADP
fis-5332	98	51	variable	variable	ADJ
fis-5332	98	52	amplitude	amplitude	NOUN
fis-5332	98	53	loading	loading	NOUN
fis-5332	98	54	.	.	PUNCT
fis-5332	99	1	stress	stress	NOUN
fis-5332	99	2	ratios	ratio	NOUN
fis-5332	99	3	that	that	PRON
fis-5332	99	4	describe	describe	VERB
fis-5332	99	5	load	load	NOUN
fis-5332	99	6	interactions	interaction	NOUN
fis-5332	99	7	were	be	AUX
fis-5332	99	8	used	use	VERB
fis-5332	99	9	by	by	ADP
fis-5332	99	10	many	many	ADJ
fis-5332	99	11	existing	exist	VERB
fis-5332	99	12	models	model	NOUN
fis-5332	99	13	in	in	ADP
fis-5332	99	14	nonlinear	nonlinear	ADJ
fis-5332	99	15	cumulative	cumulative	ADJ
fis-5332	99	16	damage	damage	NOUN
fis-5332	99	17	theory	theory	NOUN
fis-5332	99	18	.	.	PUNCT
fis-5332	100	1	peng	peng	PROPN
fis-5332	100	2	et	et	PROPN
fis-5332	100	3	al	al	PROPN
fis-5332	101	1	[	[	X
fis-5332	101	2	8	8	NUM
fis-5332	101	3	]	]	PUNCT
fis-5332	101	4	proposed	propose	VERB
fis-5332	101	5	the	the	DET
fis-5332	101	6	improved	improved	ADJ
fis-5332	101	7	ye	ye	NOUN
fis-5332	101	8	model	model	NOUN
fis-5332	101	9	,	,	PUNCT
fis-5332	101	10	accounting	account	VERB
fis-5332	101	11	for	for	ADP
fis-5332	101	12	both	both	CCONJ
fis-5332	101	13	the	the	DET
fis-5332	101	14	sequence	sequence	NOUN
fis-5332	101	15	of	of	ADP
fis-5332	101	16	applied	apply	VERB
fis-5332	101	17	loads	load	NOUN
fis-5332	101	18	and	and	CCONJ
fis-5332	101	19	the	the	DET
fis-5332	101	20	mutual	mutual	ADJ
fis-5332	101	21	influence	influence	NOUN
fis-5332	101	22	between	between	ADP
fis-5332	101	23	different	different	ADJ
fis-5332	101	24	loads	load	NOUN
fis-5332	101	25	on	on	ADP
fis-5332	101	26	residual	residual	ADJ
fis-5332	101	27	life	life	NOUN
fis-5332	101	28	.	.	PUNCT
fis-5332	102	1	eqn	eqn	PROPN
fis-5332	102	2	.	.	PUNCT
fis-5332	103	1	(	(	PUNCT
fis-5332	103	2	8)	8)	NUM
fis-5332	103	3	delineates	delineate	VERB
fis-5332	103	4	the	the	DET
fis-5332	103	5	estimated	estimate	VERB
fis-5332	103	6	fatigue	fatigue	NOUN
fis-5332	103	7	life	life	NOUN
fis-5332	103	8	remaining	remain	VERB
fis-5332	103	9	under	under	ADP
fis-5332	103	10	two	two	NUM
fis-5332	103	11	-	-	PUNCT
fis-5332	103	12	step	step	NOUN
fis-5332	103	13	loading	loading	NOUN
fis-5332	103	14	,	,	PUNCT
fis-5332	103	15	according	accord	VERB
fis-5332	103	16	to	to	ADP
fis-5332	103	17	peng	peng	PROPN
fis-5332	103	18	's	's	PART
fis-5332	103	19	model	model	NOUN
fis-5332	103	20	.	.	PUNCT
fis-5332	104	1	(	(	PUNCT
fis-5332	104	2	)	)	PUNCT
fis-5332	104	3	σ	σ	PROPN
fis-5332	104	4	σ	σ	PROPN
fis-5332	104	5			NOUN
fis-5332	104	6			PROPN
fis-5332	104	7			PROPN
fis-5332	104	8			PROPN
fis-5332	104	9	−	−	PROPN
fis-5332	104	10			X
fis-5332	104	11			PUNCT
fis-5332	105	1			PROPN
fis-5332	105	2			NOUN
fis-5332	105	3			NOUN
fis-5332	105	4			NOUN
fis-5332	105	5			NOUN
fis-5332	105	6			NOUN
fis-5332	105	7			VERB
fis-5332	105	8			NOUN
fis-5332	105	9			NOUN
fis-5332	105	10			VERB
fis-5332	105	11			PUNCT
fis-5332	106	1	=	=	PUNCT
fis-5332	106	2			NOUN
fis-5332	106	3			NOUN
fis-5332	106	4			VERB
fis-5332	106	5			PRON
fis-5332	106	6			PUNCT
fis-5332	107	1	f	f	NOUN
fis-5332	107	2	f	f	PROPN
fis-5332	107	3	n	n	CCONJ
fis-5332	107	4	n	n	CCONJ
fis-5332	107	5	n	n	NOUN
fis-5332	107	6	f	f	PROPN
fis-5332	107	7	f	f	PROPN
fis-5332	107	8	n	n	CCONJ
fis-5332	107	9	n	n	CCONJ
fis-5332	107	10	n	n	ADV
fis-5332	107	11	2	2	NUM
fis-5332	107	12	1	1	NUM
fis-5332	107	13	1	1	NUM
fis-5332	107	14	1	1	NUM
fis-5332	107	15	1	1	NUM
fis-5332	107	16	ln	ln	NOUN
fis-5332	107	17	1	1	NUM
fis-5332	107	18	ln	ln	NOUN
fis-5332	107	19	2	2	NUM
fis-5332	107	20	2	2	NUM
fis-5332	107	21	2	2	NUM
fis-5332	107	22	1	1	NUM
fis-5332	107	23	(	(	PUNCT
fis-5332	107	24	8)	8)	NUM
fis-5332	107	25	x.	x.	NOUN
fis-5332	107	26	cao	cao	PROPN
fis-5332	107	27	et	et	PROPN
fis-5332	107	28	alii	alii	PROPN
fis-5332	107	29	,	,	PUNCT
fis-5332	107	30	frattura	frattura	PROPN
fis-5332	107	31	ed	ed	PROPN
fis-5332	107	32	integrità	integrità	PROPN
fis-5332	107	33	strutturale	strutturale	PROPN
fis-5332	107	34	,	,	PUNCT
fis-5332	107	35	72	72	NUM
fis-5332	107	36	(	(	PUNCT
fis-5332	107	37	2025	2025	NUM
fis-5332	107	38	)	)	PUNCT
fis-5332	107	39	162	162	NUM
fis-5332	107	40	-	-	SYM
fis-5332	107	41	178	178	NUM
fis-5332	107	42	;	;	PUNCT
fis-5332	107	43	doi	doi	NOUN
fis-5332	107	44	:	:	PUNCT
fis-5332	107	45	10.3221	10.3221	NUM
fis-5332	107	46	/	/	SYM
fis-5332	107	47	igf	igf	PROPN
fis-5332	107	48	-	-	PUNCT
fis-5332	107	49	esis.72.12	esis.72.12	PROPN
fis-5332	107	50	166	166	NUM
fis-5332	107	51	in	in	ADP
fis-5332	107	52	summary	summary	NOUN
fis-5332	107	53	,	,	PUNCT
fis-5332	107	54	the	the	DET
fis-5332	107	55	cumulative	cumulative	ADJ
fis-5332	107	56	damage	damage	NOUN
fis-5332	107	57	models	model	NOUN
fis-5332	107	58	generally	generally	ADV
fis-5332	107	59	have	have	VERB
fis-5332	107	60	a	a	DET
fis-5332	107	61	clear	clear	ADJ
fis-5332	107	62	and	and	CCONJ
fis-5332	107	63	explicit	explicit	ADJ
fis-5332	107	64	physical	physical	ADJ
fis-5332	107	65	definition	definition	NOUN
fis-5332	107	66	.	.	PUNCT
fis-5332	108	1	however	however	ADV
fis-5332	108	2	,	,	PUNCT
fis-5332	108	3	due	due	ADP
fis-5332	108	4	to	to	ADP
fis-5332	108	5	the	the	DET
fis-5332	108	6	insufficient	insufficient	ADJ
fis-5332	108	7	consideration	consideration	NOUN
fis-5332	108	8	of	of	ADP
fis-5332	108	9	uncertainty	uncertainty	NOUN
fis-5332	108	10	of	of	ADP
fis-5332	108	11	fatigue	fatigue	NOUN
fis-5332	108	12	life	life	NOUN
fis-5332	108	13	influencing	influence	VERB
fis-5332	108	14	factors	factor	NOUN
fis-5332	108	15	and	and	CCONJ
fis-5332	108	16	the	the	DET
fis-5332	108	17	complexity	complexity	NOUN
fis-5332	108	18	of	of	ADP
fis-5332	108	19	the	the	DET
fis-5332	108	20	formula	formula	NOUN
fis-5332	108	21	,	,	PUNCT
fis-5332	108	22	its	its	PRON
fis-5332	108	23	application	application	NOUN
fis-5332	108	24	in	in	ADP
fis-5332	108	25	engineering	engineering	NOUN
fis-5332	108	26	is	be	AUX
fis-5332	108	27	limited	limited	ADJ
fis-5332	108	28	.	.	PUNCT
fis-5332	109	1	traditional	traditional	ADJ
fis-5332	109	2	cumulative	cumulative	ADJ
fis-5332	109	3	damage	damage	NOUN
fis-5332	109	4	models	model	NOUN
fis-5332	109	5	'	'	PART
fis-5332	109	6	limitations	limitation	NOUN
fis-5332	109	7	are	be	AUX
fis-5332	109	8	increasingly	increasingly	ADV
fis-5332	109	9	being	be	AUX
fis-5332	109	10	tackled	tackle	VERB
fis-5332	109	11	effectively	effectively	ADV
fis-5332	109	12	through	through	ADP
fis-5332	109	13	the	the	DET
fis-5332	109	14	utilization	utilization	NOUN
fis-5332	109	15	of	of	ADP
fis-5332	109	16	machine	machine	NOUN
fis-5332	109	17	learning	learn	VERB
fis-5332	109	18	techniques	technique	NOUN
fis-5332	109	19	now	now	ADV
fis-5332	109	20	[	[	X
fis-5332	109	21	18	18	NUM
fis-5332	109	22	]	]	PUNCT
fis-5332	109	23	.	.	PUNCT
fis-5332	110	1	due	due	ADP
fis-5332	110	2	to	to	ADP
fis-5332	110	3	the	the	DET
fis-5332	110	4	limited	limited	ADJ
fis-5332	110	5	number	number	NOUN
fis-5332	110	6	of	of	ADP
fis-5332	110	7	fatigue	fatigue	NOUN
fis-5332	110	8	test	test	NOUN
fis-5332	110	9	samples	sample	NOUN
fis-5332	110	10	,	,	PUNCT
fis-5332	110	11	obtaining	obtain	VERB
fis-5332	110	12	highprecision	highprecision	NOUN
fis-5332	110	13	prediction	prediction	NOUN
fis-5332	110	14	models	model	NOUN
fis-5332	110	15	under	under	ADP
fis-5332	110	16	small	small	ADJ
fis-5332	110	17	sample	sample	NOUN
fis-5332	110	18	conditions	condition	NOUN
fis-5332	110	19	is	be	AUX
fis-5332	110	20	a	a	DET
fis-5332	110	21	bottleneck	bottleneck	NOUN
fis-5332	110	22	problem	problem	NOUN
fis-5332	110	23	.	.	PUNCT
fis-5332	111	1	ctgan	ctgan	VERB
fis-5332	111	2	a	a	DET
fis-5332	111	3	generative	generative	ADJ
fis-5332	111	4	model	model	NOUN
fis-5332	111	5	known	know	VERB
fis-5332	111	6	as	as	ADP
fis-5332	111	7	gan	gan	PROPN
fis-5332	111	8	comprises	comprise	VERB
fis-5332	111	9	two	two	NUM
fis-5332	111	10	neural	neural	ADJ
fis-5332	111	11	networks	network	NOUN
fis-5332	111	12	:	:	PUNCT
fis-5332	111	13	a	a	DET
fis-5332	111	14	generator	generator	NOUN
fis-5332	111	15	and	and	CCONJ
fis-5332	111	16	a	a	DET
fis-5332	111	17	discriminator	discriminator	NOUN
fis-5332	111	18	,	,	PUNCT
fis-5332	111	19	engaged	engage	VERB
fis-5332	111	20	in	in	ADP
fis-5332	111	21	a	a	DET
fis-5332	111	22	competitive	competitive	ADJ
fis-5332	111	23	learning	learning	NOUN
fis-5332	111	24	dynamic	dynamic	ADJ
fis-5332	111	25	.	.	PUNCT
fis-5332	112	1	the	the	DET
fis-5332	112	2	optimization	optimization	NOUN
fis-5332	112	3	objective	objective	ADJ
fis-5332	112	4	function	function	NOUN
fis-5332	112	5	of	of	ADP
fis-5332	112	6	the	the	DET
fis-5332	112	7	gan	gan	PROPN
fis-5332	112	8	is	be	AUX
fis-5332	112	9	presented	present	VERB
fis-5332	112	10	in	in	ADP
fis-5332	112	11	eqn	eqn	NOUN
fis-5332	112	12	.	.	PUNCT
fis-5332	113	1	(	(	PUNCT
fis-5332	113	2	9	9	NUM
fis-5332	113	3	)	)	PUNCT
fis-5332	113	4	:	:	PUNCT
fis-5332	113	5	(	(	PUNCT
fis-5332	113	6	)	)	PUNCT
fis-5332	113	7	(	(	PUNCT
fis-5332	113	8	)	)	PUNCT
fis-5332	113	9	(	(	PUNCT
fis-5332	113	10	)	)	PUNCT
fis-5332	113	11	(	(	PUNCT
fis-5332	113	12	)	)	PUNCT
fis-5332	113	13	(	(	PUNCT
fis-5332	113	14	)	)	PUNCT
fis-5332	113	15	(	(	PUNCT
fis-5332	113	16	)	)	PUNCT
fis-5332	113	17			NOUN
fis-5332	113	18	=	=	X
fis-5332	113	19	+	+	CCONJ
fis-5332	113	20	−	−	NUM
fis-5332	113	21			NOUN
fis-5332	113	22			PROPN
fis-5332	113	23			NUM
fis-5332	113	24	data	data	PROPN
fis-5332	113	25	zx	zx	NUM
fis-5332	113	26	p	p	NOUN
fis-5332	113	27	x	x	PROPN
fis-5332	114	1	z	z	NOUN
fis-5332	114	2	p	p	NOUN
fis-5332	114	3	zg	zg	PROPN
fis-5332	115	1	d	d	X
fis-5332	115	2	v	v	NOUN
fis-5332	115	3	g	g	NOUN
fis-5332	115	4	d	d	X
fis-5332	115	5	e	e	X
fis-5332	115	6	d	d	NOUN
fis-5332	115	7	x	x	PUNCT
fis-5332	115	8	e	e	NOUN
fis-5332	115	9	d	d	X
fis-5332	115	10	g	g	PROPN
fis-5332	115	11	z	z	PROPN
fis-5332	115	12	(	(	PUNCT
fis-5332	115	13	)	)	PUNCT
fis-5332	115	14	min	min	PROPN
fis-5332	115	15	max	max	PROPN
fis-5332	115	16	,	,	PUNCT
fis-5332	115	17	log	log	VERB
fis-5332	115	18	log	log	NOUN
fis-5332	115	19	1	1	NUM
fis-5332	115	20			PROPN
fis-5332	115	21			PROPN
fis-5332	115	22	(	(	PUNCT
fis-5332	115	23	9	9	NUM
fis-5332	115	24	)	)	PUNCT
fis-5332	115	25	where	where	SCONJ
fis-5332	115	26	x	x	PRON
fis-5332	115	27	stands	stand	VERB
fis-5332	115	28	for	for	ADP
fis-5332	115	29	the	the	DET
fis-5332	115	30	real	real	ADJ
fis-5332	115	31	data	datum	NOUN
fis-5332	115	32	,	,	PUNCT
fis-5332	115	33	z	z	PROPN
fis-5332	115	34	signifies	signify	VERB
fis-5332	115	35	the	the	DET
fis-5332	115	36	potential	potential	ADJ
fis-5332	115	37	noise	noise	NOUN
fis-5332	115	38	,	,	PUNCT
fis-5332	115	39	(	(	PUNCT
fis-5332	115	40	)	)	PUNCT
fis-5332	115	41	e	e	X
fis-5332	115	42	*	*	PUNCT
fis-5332	115	43	indicates	indicate	VERB
fis-5332	115	44	the	the	DET
fis-5332	115	45	expected	expect	VERB
fis-5332	115	46	value	value	NOUN
fis-5332	115	47	of	of	ADP
fis-5332	115	48	the	the	DET
fis-5332	115	49	distribution	distribution	NOUN
fis-5332	115	50	function	function	NOUN
fis-5332	115	51	,	,	PUNCT
fis-5332	115	52	(	(	PUNCT
fis-5332	115	53	)	)	PUNCT
fis-5332	115	54	datap	datap	NOUN
fis-5332	115	55	x	x	PUNCT
fis-5332	115	56	embodies	embody	VERB
fis-5332	115	57	the	the	DET
fis-5332	115	58	distribution	distribution	NOUN
fis-5332	115	59	of	of	ADP
fis-5332	115	60	authentic	authentic	ADJ
fis-5332	115	61	samples	sample	NOUN
fis-5332	115	62	,	,	PUNCT
fis-5332	115	63	(	(	PUNCT
fis-5332	115	64	)	)	PUNCT
fis-5332	115	65	zp	zp	PROPN
fis-5332	115	66	z	z	PROPN
fis-5332	115	67	represents	represent	VERB
fis-5332	115	68	the	the	DET
fis-5332	115	69	distribution	distribution	NOUN
fis-5332	115	70	of	of	ADP
fis-5332	115	71	the	the	DET
fis-5332	115	72	noise	noise	NOUN
fis-5332	115	73	defined	define	VERB
fis-5332	115	74	in	in	ADP
fis-5332	115	75	the	the	DET
fis-5332	115	76	lower	low	ADJ
fis-5332	115	77	dimension	dimension	NOUN
fis-5332	115	78	,	,	PUNCT
fis-5332	115	79	(	(	PUNCT
fis-5332	115	80	)	)	PUNCT
fis-5332	115	81	d	d	NOUN
fis-5332	115	82	x	x	PRON
fis-5332	115	83	denotes	denote	VERB
fis-5332	115	84	the	the	DET
fis-5332	115	85	result	result	NOUN
fis-5332	115	86	of	of	ADP
fis-5332	115	87	the	the	DET
fis-5332	115	88	judgement	judgement	NOUN
fis-5332	115	89	of	of	ADP
fis-5332	115	90	the	the	DET
fis-5332	115	91	discriminator	discriminator	NOUN
fis-5332	115	92	on	on	ADP
fis-5332	115	93	the	the	DET
fis-5332	115	94	real	real	ADJ
fis-5332	115	95	data	datum	NOUN
fis-5332	115	96	x	x	SYM
fis-5332	115	97	,	,	PUNCT
fis-5332	115	98	and	and	CCONJ
fis-5332	115	99	(	(	PUNCT
fis-5332	115	100	)	)	PUNCT
fis-5332	115	101	g	g	NOUN
fis-5332	115	102	z	z	PROPN
fis-5332	115	103	denotes	denote	VERB
fis-5332	115	104	the	the	DET
fis-5332	115	105	fake	fake	ADJ
fis-5332	115	106	data	datum	NOUN
fis-5332	115	107	that	that	PRON
fis-5332	115	108	was	be	AUX
fis-5332	115	109	generated	generate	VERB
fis-5332	115	110	based	base	VERB
fis-5332	115	111	on	on	ADP
fis-5332	115	112	the	the	DET
fis-5332	115	113	random	random	ADJ
fis-5332	115	114	data	datum	NOUN
fis-5332	115	115	z	z	NOUN
fis-5332	115	116	in	in	ADP
fis-5332	115	117	the	the	DET
fis-5332	115	118	generator	generator	NOUN
fis-5332	115	119	.	.	PUNCT
fis-5332	116	1	the	the	DET
fis-5332	116	2	discriminator	discriminator	NOUN
fis-5332	116	3	d	d	PROPN
fis-5332	116	4	needs	need	VERB
fis-5332	116	5	to	to	PART
fis-5332	116	6	match	match	VERB
fis-5332	116	7	the	the	DET
fis-5332	116	8	real	real	ADJ
fis-5332	116	9	samples	sample	NOUN
fis-5332	116	10	as	as	ADV
fis-5332	116	11	much	much	ADV
fis-5332	116	12	as	as	ADP
fis-5332	116	13	possible	possible	ADJ
fis-5332	116	14	,	,	PUNCT
fis-5332	116	15	i.e.	i.e.	X
fis-5332	116	16	,	,	PUNCT
fis-5332	116	17	maximize	maximize	VERB
fis-5332	116	18	(	(	PUNCT
fis-5332	116	19	)	)	PUNCT
fis-5332	116	20	d	d	NOUN
fis-5332	116	21	xlog	xlog	NOUN
fis-5332	116	22	,	,	PUNCT
fis-5332	116	23	while	while	SCONJ
fis-5332	116	24	the	the	DET
fis-5332	116	25	generator	generator	NOUN
fis-5332	116	26	g	g	PROPN
fis-5332	116	27	needs	need	VERB
fis-5332	116	28	to	to	PART
fis-5332	116	29	maximize	maximize	VERB
fis-5332	116	30	the	the	DET
fis-5332	116	31	loss	loss	NOUN
fis-5332	116	32	of	of	ADP
fis-5332	116	33	d	d	PROPN
fis-5332	116	34	,	,	PUNCT
fis-5332	116	35	i.e.	i.e.	X
fis-5332	116	36	,	,	PUNCT
fis-5332	116	37	minimize	minimize	VERB
fis-5332	116	38	(	(	PUNCT
fis-5332	116	39	)	)	PUNCT
fis-5332	116	40	d	d	NOUN
fis-5332	116	41	xlog	xlog	PROPN
fis-5332	116	42	.	.	PUNCT
fis-5332	117	1	ultimately	ultimately	ADV
fis-5332	117	2	,	,	PUNCT
fis-5332	117	3	a	a	DET
fis-5332	117	4	nash	nash	ADJ
fis-5332	117	5	equilibrium	equilibrium	NOUN
fis-5332	117	6	is	be	AUX
fis-5332	117	7	reached	reach	VERB
fis-5332	117	8	between	between	ADP
fis-5332	117	9	the	the	DET
fis-5332	117	10	generator	generator	NOUN
fis-5332	117	11	and	and	CCONJ
fis-5332	117	12	the	the	DET
fis-5332	117	13	discriminator	discriminator	NOUN
fis-5332	117	14	,	,	PUNCT
fis-5332	117	15	allowing	allow	VERB
fis-5332	117	16	the	the	DET
fis-5332	117	17	generator	generator	NOUN
fis-5332	117	18	to	to	PART
fis-5332	117	19	create	create	VERB
fis-5332	117	20	realistic	realistic	ADJ
fis-5332	117	21	data	datum	NOUN
fis-5332	117	22	.	.	PUNCT
fis-5332	118	1	conditional	conditional	ADJ
fis-5332	118	2	tabular	tabular	PROPN
fis-5332	118	3	gan	gan	PROPN
fis-5332	118	4	(	(	PUNCT
fis-5332	118	5	ctgan	ctgan	PROPN
fis-5332	118	6	)	)	PUNCT
fis-5332	119	1	[	[	X
fis-5332	119	2	19	19	NUM
fis-5332	119	3	]	]	PUNCT
fis-5332	119	4	uses	use	VERB
fis-5332	119	5	a	a	DET
fis-5332	119	6	gan	gan	PROPN
fis-5332	119	7	-	-	PUNCT
fis-5332	119	8	based	base	VERB
fis-5332	119	9	approach	approach	NOUN
fis-5332	119	10	to	to	ADP
fis-5332	119	11	model	model	NOUN
fis-5332	119	12	samples	sample	NOUN
fis-5332	119	13	from	from	ADP
fis-5332	119	14	tabular	tabular	NOUN
fis-5332	119	15	data	datum	NOUN
fis-5332	119	16	distribution	distribution	NOUN
fis-5332	119	17	.	.	PUNCT
fis-5332	120	1	ctgan	ctgan	PROPN
fis-5332	120	2	employs	employ	VERB
fis-5332	120	3	a	a	DET
fis-5332	120	4	variational	variational	ADJ
fis-5332	120	5	gaussian	gaussian	ADJ
fis-5332	120	6	mixture	mixture	NOUN
fis-5332	120	7	model	model	NOUN
fis-5332	120	8	(	(	PUNCT
fis-5332	120	9	vgm	vgm	NOUN
fis-5332	120	10	)	)	PUNCT
fis-5332	120	11	for	for	ADP
fis-5332	120	12	each	each	DET
fis-5332	120	13	continuous	continuous	ADJ
fis-5332	120	14	variable	variable	NOUN
fis-5332	120	15	,	,	PUNCT
fis-5332	120	16	with	with	ADP
fis-5332	120	17	the	the	DET
fis-5332	120	18	intention	intention	NOUN
fis-5332	120	19	of	of	ADP
fis-5332	120	20	determining	determine	VERB
fis-5332	120	21	the	the	DET
fis-5332	120	22	most	most	ADV
fis-5332	120	23	suitable	suitable	ADJ
fis-5332	120	24	k	k	PROPN
fis-5332	120	25	gaussian	gaussian	NOUN
fis-5332	120	26	models	model	NOUN
fis-5332	120	27	to	to	PART
fis-5332	120	28	depict	depict	VERB
fis-5332	120	29	the	the	DET
fis-5332	120	30	data	datum	NOUN
fis-5332	120	31	through	through	ADP
fis-5332	120	32	the	the	DET
fis-5332	120	33	application	application	NOUN
fis-5332	120	34	of	of	ADP
fis-5332	120	35	the	the	DET
fis-5332	120	36	expectation	expectation	NOUN
fis-5332	120	37	maximization	maximization	NOUN
fis-5332	120	38	algorithm	algorithm	NOUN
fis-5332	120	39	.	.	PUNCT
fis-5332	121	1	additionally	additionally	ADV
fis-5332	121	2	,	,	PUNCT
fis-5332	121	3	it	it	PRON
fis-5332	121	4	compels	compel	VERB
fis-5332	121	5	the	the	DET
fis-5332	121	6	generator	generator	NOUN
fis-5332	121	7	to	to	PART
fis-5332	121	8	produce	produce	VERB
fis-5332	121	9	samples	sample	NOUN
fis-5332	121	10	with	with	ADP
fis-5332	121	11	discrete	discrete	ADJ
fis-5332	121	12	variable	variable	ADJ
fis-5332	121	13	distributions	distribution	NOUN
fis-5332	121	14	that	that	PRON
fis-5332	121	15	closely	closely	ADV
fis-5332	121	16	resemble	resemble	VERB
fis-5332	121	17	the	the	DET
fis-5332	121	18	training	training	NOUN
fis-5332	121	19	data	datum	NOUN
fis-5332	121	20	and	and	CCONJ
fis-5332	121	21	incorporates	incorporate	VERB
fis-5332	121	22	a	a	DET
fis-5332	121	23	condition	condition	NOUN
fis-5332	121	24	vector	vector	NOUN
fis-5332	121	25	as	as	ADP
fis-5332	121	26	part	part	NOUN
fis-5332	121	27	of	of	ADP
fis-5332	121	28	the	the	DET
fis-5332	121	29	input	input	NOUN
fis-5332	121	30	.	.	PUNCT
fis-5332	122	1	the	the	DET
fis-5332	122	2	input	input	NOUN
fis-5332	122	3	to	to	PART
fis-5332	122	4	ctgan	ctgan	VERB
fis-5332	122	5	comprises	comprise	VERB
fis-5332	122	6	a	a	DET
fis-5332	122	7	condition	condition	NOUN
fis-5332	122	8	vector	vector	NOUN
fis-5332	122	9	,	,	PUNCT
fis-5332	122	10	which	which	PRON
fis-5332	122	11	direct	direct	VERB
fis-5332	122	12	the	the	DET
fis-5332	122	13	generator	generator	NOUN
fis-5332	122	14	to	to	PART
fis-5332	122	15	create	create	VERB
fis-5332	122	16	samples	sample	NOUN
fis-5332	122	17	that	that	PRON
fis-5332	122	18	belong	belong	VERB
fis-5332	122	19	to	to	ADP
fis-5332	122	20	designated	designate	VERB
fis-5332	122	21	categories	category	NOUN
fis-5332	122	22	.	.	PUNCT
fis-5332	123	1	the	the	DET
fis-5332	123	2	condition	condition	NOUN
fis-5332	123	3	vector	vector	NOUN
fis-5332	123	4	,	,	PUNCT
fis-5332	123	5	which	which	PRON
fis-5332	123	6	is	be	AUX
fis-5332	123	7	encoded	encode	VERB
fis-5332	123	8	in	in	ADP
fis-5332	123	9	one	one	NUM
fis-5332	123	10	-	-	PUNCT
fis-5332	123	11	hot	hot	ADJ
fis-5332	123	12	format	format	NOUN
fis-5332	123	13	to	to	PART
fis-5332	123	14	represent	represent	VERB
fis-5332	123	15	all	all	DET
fis-5332	123	16	discrete	discrete	ADJ
fis-5332	123	17	columns	column	NOUN
fis-5332	123	18	,	,	PUNCT
fis-5332	123	19	selects	select	VERB
fis-5332	123	20	conditions	condition	NOUN
fis-5332	123	21	by	by	ADP
fis-5332	123	22	sampling	sample	VERB
fis-5332	123	23	from	from	ADP
fis-5332	123	24	the	the	DET
fis-5332	123	25	training	training	NOUN
fis-5332	123	26	dataset	dataset	NOUN
fis-5332	123	27	.	.	PUNCT
fis-5332	124	1	the	the	DET
fis-5332	124	2	generator	generator	NOUN
fis-5332	124	3	's	's	PART
fis-5332	124	4	loss	loss	NOUN
fis-5332	124	5	function	function	NOUN
fis-5332	124	6	ensures	ensure	VERB
fis-5332	124	7	that	that	SCONJ
fis-5332	124	8	the	the	DET
fis-5332	124	9	samples	sample	NOUN
fis-5332	124	10	produced	produce	VERB
fis-5332	124	11	by	by	ADP
fis-5332	124	12	the	the	DET
fis-5332	124	13	generator	generator	NOUN
fis-5332	124	14	fulfill	fulfill	VERB
fis-5332	124	15	the	the	DET
fis-5332	124	16	specified	specified	ADJ
fis-5332	124	17	condition	condition	NOUN
fis-5332	124	18	.	.	PUNCT
fis-5332	125	1	incorporating	incorporate	VERB
fis-5332	125	2	the	the	DET
fis-5332	125	3	cross	cross	NOUN
fis-5332	125	4	-	-	NOUN
fis-5332	125	5	entropy	entropy	NOUN
fis-5332	125	6	between	between	ADP
fis-5332	125	7	condition	condition	NOUN
fis-5332	125	8	vector	vector	NOUN
fis-5332	125	9	and	and	CCONJ
fis-5332	125	10	generated	generate	VERB
fis-5332	125	11	samples	sample	NOUN
fis-5332	125	12	within	within	ADP
fis-5332	125	13	loss	loss	NOUN
fis-5332	125	14	function	function	NOUN
fis-5332	125	15	accomplishes	accomplish	VERB
fis-5332	125	16	this	this	PRON
fis-5332	125	17	.	.	PUNCT
fis-5332	126	1	in	in	ADP
fis-5332	126	2	this	this	DET
fis-5332	126	3	work	work	NOUN
fis-5332	126	4	,	,	PUNCT
fis-5332	126	5	ctgan	ctgan	NOUN
fis-5332	126	6	is	be	AUX
fis-5332	126	7	employed	employ	VERB
fis-5332	126	8	for	for	ADP
fis-5332	126	9	data	datum	NOUN
fis-5332	126	10	augmentation	augmentation	NOUN
fis-5332	126	11	to	to	PART
fis-5332	126	12	tackle	tackle	VERB
fis-5332	126	13	the	the	DET
fis-5332	126	14	challenge	challenge	NOUN
fis-5332	126	15	posed	pose	VERB
fis-5332	126	16	by	by	ADP
fis-5332	126	17	limited	limited	ADJ
fis-5332	126	18	fatigue	fatigue	NOUN
fis-5332	126	19	data	datum	NOUN
fis-5332	126	20	.	.	PUNCT
fis-5332	127	1	fatigue	fatigue	NOUN
fis-5332	127	2	life	life	NOUN
fis-5332	127	3	prediction	prediction	NOUN
fis-5332	127	4	method	method	NOUN
fis-5332	127	5	based	base	VERB
fis-5332	127	6	on	on	ADP
fis-5332	127	7	data	datum	NOUN
fis-5332	127	8	augmentation	augmentation	NOUN
fis-5332	127	9	fatigue	fatigue	NOUN
fis-5332	127	10	data	data	NOUN
fis-5332	127	11	generation	generation	NOUN
fis-5332	127	12	method	method	NOUN
fis-5332	127	13	based	base	VERB
fis-5332	127	14	on	on	ADP
fis-5332	127	15	physics	physics	NOUN
fis-5332	127	16	-	-	PUNCT
fis-5332	127	17	informed	inform	VERB
fis-5332	127	18	generative	generative	ADJ
fis-5332	127	19	adversarial	adversarial	ADJ
fis-5332	127	20	networks	network	NOUN
fis-5332	127	21	nvestigating	nvestigate	VERB
fis-5332	127	22	fatigue	fatigue	NOUN
fis-5332	127	23	performance	performance	NOUN
fis-5332	127	24	typically	typically	ADV
fis-5332	127	25	necessitates	necessitate	VERB
fis-5332	127	26	a	a	DET
fis-5332	127	27	substantial	substantial	ADJ
fis-5332	127	28	number	number	NOUN
fis-5332	127	29	of	of	ADP
fis-5332	127	30	repeated	repeat	VERB
fis-5332	127	31	tests	test	NOUN
fis-5332	127	32	.	.	PUNCT
fis-5332	128	1	however	however	ADV
fis-5332	128	2	,	,	PUNCT
fis-5332	128	3	it	it	PRON
fis-5332	128	4	is	be	AUX
fis-5332	128	5	currently	currently	ADV
fis-5332	128	6	difficult	difficult	ADJ
fis-5332	128	7	to	to	PART
fis-5332	128	8	obtain	obtain	VERB
fis-5332	128	9	a	a	DET
fis-5332	128	10	large	large	ADJ
fis-5332	128	11	number	number	NOUN
fis-5332	128	12	of	of	ADP
fis-5332	128	13	training	training	NOUN
fis-5332	128	14	samples	sample	NOUN
fis-5332	128	15	due	due	ADP
fis-5332	128	16	to	to	ADP
fis-5332	128	17	the	the	DET
fis-5332	128	18	complexity	complexity	NOUN
fis-5332	128	19	and	and	CCONJ
fis-5332	128	20	randomness	randomness	NOUN
fis-5332	128	21	of	of	ADP
fis-5332	128	22	fatigue	fatigue	NOUN
fis-5332	128	23	testing	testing	NOUN
fis-5332	128	24	.	.	PUNCT
fis-5332	129	1	the	the	DET
fis-5332	129	2	shortage	shortage	NOUN
fis-5332	129	3	of	of	ADP
fis-5332	129	4	samples	sample	NOUN
fis-5332	129	5	in	in	ADP
fis-5332	129	6	the	the	DET
fis-5332	129	7	training	training	NOUN
fis-5332	129	8	dataset	dataset	NOUN
fis-5332	129	9	affects	affect	VERB
fis-5332	129	10	both	both	CCONJ
fis-5332	129	11	the	the	DET
fis-5332	129	12	precision	precision	NOUN
fis-5332	129	13	and	and	CCONJ
fis-5332	129	14	the	the	DET
fis-5332	129	15	ability	ability	NOUN
fis-5332	129	16	of	of	ADP
fis-5332	129	17	the	the	DET
fis-5332	129	18	model	model	NOUN
fis-5332	129	19	to	to	PART
fis-5332	129	20	generalize	generalize	VERB
fis-5332	129	21	.	.	PUNCT
fis-5332	130	1	this	this	DET
fis-5332	130	2	work	work	NOUN
fis-5332	130	3	proposes	propose	VERB
fis-5332	130	4	a	a	DET
fis-5332	130	5	ctgan	ctgan	ADJ
fis-5332	130	6	generative	generative	ADJ
fis-5332	130	7	model	model	NOUN
fis-5332	130	8	based	base	VERB
fis-5332	130	9	on	on	ADP
fis-5332	130	10	physics	physics	NOUN
fis-5332	130	11	-	-	PUNCT
fis-5332	130	12	informed	informed	ADJ
fis-5332	130	13	to	to	PART
fis-5332	130	14	solve	solve	VERB
fis-5332	130	15	the	the	DET
fis-5332	130	16	problem	problem	NOUN
fis-5332	130	17	of	of	ADP
fis-5332	130	18	fewer	few	ADJ
fis-5332	130	19	training	training	NOUN
fis-5332	130	20	samples	sample	NOUN
fis-5332	130	21	under	under	ADP
fis-5332	130	22	two	two	NUM
fis-5332	130	23	-	-	PUNCT
fis-5332	130	24	step	step	NOUN
fis-5332	130	25	loading	loading	NOUN
fis-5332	130	26	.	.	PUNCT
fis-5332	131	1	this	this	PRON
fis-5332	131	2	enables	enable	VERB
fis-5332	131	3	the	the	DET
fis-5332	131	4	machine	machine	NOUN
fis-5332	131	5	learning	learning	NOUN
fis-5332	131	6	models	model	NOUN
fis-5332	131	7	to	to	PART
fis-5332	131	8	effectively	effectively	ADV
fis-5332	131	9	capture	capture	VERB
fis-5332	131	10	the	the	DET
fis-5332	131	11	relationship	relationship	NOUN
fis-5332	131	12	between	between	ADP
fis-5332	131	13	inputs	input	NOUN
fis-5332	131	14	and	and	CCONJ
fis-5332	131	15	outputs	output	NOUN
fis-5332	131	16	.	.	PUNCT
fis-5332	132	1	in	in	ADP
fis-5332	132	2	this	this	DET
fis-5332	132	3	work	work	NOUN
fis-5332	132	4	,	,	PUNCT
fis-5332	132	5	five	five	NUM
fis-5332	132	6	fatigue	fatigue	NOUN
fis-5332	132	7	life	life	NOUN
fis-5332	132	8	prediction	prediction	NOUN
fis-5332	132	9	models	model	NOUN
fis-5332	132	10	,	,	PUNCT
fis-5332	132	11	miner	miner	NOUN
fis-5332	132	12	law	law	NOUN
fis-5332	132	13	[	[	X
fis-5332	132	14	4	4	NUM
fis-5332	132	15	]	]	PUNCT
fis-5332	132	16	,	,	PUNCT
fis-5332	132	17	ye	ye	PRON
fis-5332	132	18	model	model	NOUN
fis-5332	132	19	[	[	X
fis-5332	132	20	5	5	NUM
fis-5332	132	21	]	]	PUNCT
fis-5332	132	22	and	and	CCONJ
fis-5332	132	23	its	its	PRON
fis-5332	132	24	improved	improved	ADJ
fis-5332	132	25	model	model	NOUN
fis-5332	132	26	lv	lv	PROPN
fis-5332	132	27	model	model	NOUN
fis-5332	133	1	[	[	X
fis-5332	133	2	6	6	NUM
fis-5332	133	3	]	]	PUNCT
fis-5332	133	4	,	,	PUNCT
fis-5332	133	5	wang	wang	PROPN
fis-5332	133	6	model	model	PROPN
fis-5332	134	1	[	[	X
fis-5332	134	2	7	7	NUM
fis-5332	134	3	]	]	PUNCT
fis-5332	134	4	,	,	PUNCT
fis-5332	134	5	peng	peng	PROPN
fis-5332	134	6	model	model	NOUN
fis-5332	135	1	[	[	X
fis-5332	135	2	8	8	NUM
fis-5332	135	3	]	]	PUNCT
fis-5332	135	4	,	,	PUNCT
fis-5332	135	5	are	be	AUX
fis-5332	135	6	selected	select	VERB
fis-5332	135	7	to	to	PART
fis-5332	135	8	predict	predict	VERB
fis-5332	135	9	fatigue	fatigue	NOUN
fis-5332	135	10	life	life	NOUN
fis-5332	135	11	under	under	ADP
fis-5332	135	12	two	two	NUM
fis-5332	135	13	-	-	PUNCT
fis-5332	135	14	step	step	NOUN
fis-5332	135	15	loading	loading	NOUN
fis-5332	135	16	for	for	ADP
fis-5332	135	17	five	five	NUM
fis-5332	135	18	welded	weld	VERB
fis-5332	135	19	materials	material	NOUN
fis-5332	135	20	[	[	X
fis-5332	135	21	20	20	NUM
fis-5332	135	22	-	-	SYM
fis-5332	135	23	24	24	NUM
fis-5332	135	24	]	]	PUNCT
fis-5332	135	25	.	.	PUNCT
fis-5332	136	1	specific	specific	ADJ
fis-5332	136	2	details	detail	NOUN
fis-5332	136	3	related	relate	VERB
fis-5332	136	4	to	to	ADP
fis-5332	136	5	the	the	DET
fis-5332	136	6	literature	literature	NOUN
fis-5332	136	7	dataset	dataset	VERB
fis-5332	136	8	here	here	ADV
fis-5332	136	9	can	can	AUX
fis-5332	136	10	be	be	AUX
fis-5332	136	11	found	find	VERB
fis-5332	136	12	in	in	ADP
fis-5332	136	13	section	section	NOUN
fis-5332	136	14	experimental	experimental	ADJ
fis-5332	136	15	results	result	NOUN
fis-5332	136	16	and	and	CCONJ
fis-5332	136	17	analysis	analysis	NOUN
fis-5332	136	18	.	.	PUNCT
fis-5332	137	1	the	the	DET
fis-5332	137	2	mean	mean	ADJ
fis-5332	137	3	absolute	absolute	ADJ
fis-5332	137	4	percentage	percentage	NOUN
fis-5332	137	5	error	error	NOUN
fis-5332	137	6	(	(	PUNCT
fis-5332	137	7	mape	mape	NOUN
fis-5332	137	8	)	)	PUNCT
fis-5332	137	9	quantifies	quantify	VERB
fis-5332	137	10	the	the	DET
fis-5332	137	11	precision	precision	NOUN
fis-5332	137	12	of	of	ADP
fis-5332	137	13	life	life	NOUN
fis-5332	137	14	prediction	prediction	NOUN
fis-5332	137	15	,	,	PUNCT
fis-5332	137	16	as	as	SCONJ
fis-5332	137	17	defined	define	VERB
fis-5332	137	18	by	by	ADP
fis-5332	137	19	the	the	DET
fis-5332	137	20	equation	equation	NOUN
fis-5332	137	21	below	below	ADV
fis-5332	137	22	:	:	PUNCT
fis-5332	138	1	=	=	PUNCT
fis-5332	138	2	′=	′=	PROPN
fis-5332	138	3	−	−	PROPN
fis-5332	138	4	×∑	×∑	PROPN
fis-5332	138	5	n	n	NOUN
fis-5332	139	1	i	i	PRON
fis-5332	139	2	i	i	PRON
fis-5332	140	1	i	i	PRON
fis-5332	140	2	mape	mape	VERB
fis-5332	140	3	y	y	PROPN
fis-5332	140	4	y	y	PROPN
fis-5332	140	5	n	n	PROPN
fis-5332	140	6	1	1	NUM
fis-5332	140	7	1	1	NUM
fis-5332	140	8	100	100	NUM
fis-5332	140	9	(	(	PUNCT
fis-5332	140	10	10	10	NUM
fis-5332	140	11	)	)	PUNCT
fis-5332	140	12	the	the	DET
fis-5332	140	13	predicted	predict	VERB
fis-5332	140	14	fatigue	fatigue	NOUN
fis-5332	140	15	life	life	NOUN
fis-5332	140	16	for	for	ADP
fis-5332	140	17	the	the	DET
fis-5332	140	18	i	i	PROPN
fis-5332	140	19	-	-	PUNCT
fis-5332	140	20	th	th	VERB
fis-5332	140	21	sample	sample	NOUN
fis-5332	140	22	is	be	AUX
fis-5332	140	23	denoted	denote	VERB
fis-5332	140	24	as	as	ADP
fis-5332	140	25	′	′	NUM
fis-5332	140	26	iy	iy	INTJ
fis-5332	140	27	,	,	PUNCT
fis-5332	140	28	while	while	SCONJ
fis-5332	140	29	the	the	DET
fis-5332	140	30	actual	actual	ADJ
fis-5332	140	31	fatigue	fatigue	NOUN
fis-5332	140	32	life	life	NOUN
fis-5332	140	33	for	for	ADP
fis-5332	140	34	the	the	DET
fis-5332	140	35	same	same	ADJ
fis-5332	140	36	sample	sample	NOUN
fis-5332	140	37	is	be	AUX
fis-5332	140	38	iy	iy	PROPN
fis-5332	140	39	.	.	PUNCT
fis-5332	141	1	tab	tab	PROPN
fis-5332	141	2	.	.	PUNCT
fis-5332	142	1	1	1	NUM
fis-5332	142	2	presents	present	VERB
fis-5332	142	3	the	the	DET
fis-5332	142	4	average	average	ADJ
fis-5332	142	5	absolute	absolute	ADJ
fis-5332	142	6	percentage	percentage	NOUN
fis-5332	142	7	error	error	NOUN
fis-5332	142	8	for	for	ADP
fis-5332	142	9	the	the	DET
fis-5332	142	10	five	five	NUM
fis-5332	142	11	materials	material	NOUN
fis-5332	142	12	.	.	PUNCT
fis-5332	143	1	i	i	PRON
fis-5332	143	2	x.	x.	NOUN
fis-5332	143	3	cao	cao	PROPN
fis-5332	143	4	et	et	PROPN
fis-5332	143	5	alii	alii	PROPN
fis-5332	143	6	,	,	PUNCT
fis-5332	143	7	frattura	frattura	PROPN
fis-5332	143	8	ed	ed	PROPN
fis-5332	143	9	integrità	integrità	PROPN
fis-5332	143	10	strutturale	strutturale	PROPN
fis-5332	143	11	,	,	PUNCT
fis-5332	143	12	72	72	NUM
fis-5332	143	13	(	(	PUNCT
fis-5332	143	14	2025	2025	NUM
fis-5332	143	15	)	)	PUNCT
fis-5332	143	16	162	162	NUM
fis-5332	143	17	-	-	SYM
fis-5332	143	18	178	178	NUM
fis-5332	143	19	;	;	PUNCT
fis-5332	143	20	doi	doi	NOUN
fis-5332	143	21	:	:	PUNCT
fis-5332	143	22	10.3221	10.3221	NUM
fis-5332	143	23	/	/	SYM
fis-5332	143	24	igf	igf	PROPN
fis-5332	143	25	-	-	PUNCT
fis-5332	143	26	esis.72.12	esis.72.12	PROPN
fis-5332	143	27	167	167	NUM
fis-5332	143	28	materials	material	NOUN
fis-5332	143	29	miner	miner	NOUN
fis-5332	143	30	model	model	NOUN
fis-5332	144	1	[	[	X
fis-5332	144	2	4	4	NUM
fis-5332	144	3	]	]	X
fis-5332	144	4	mape	mape	NOUN
fis-5332	144	5	(	(	PUNCT
fis-5332	144	6	%	%	NOUN
fis-5332	144	7	)	)	PUNCT
fis-5332	144	8	ye	ye	NUM
fis-5332	144	9	model	model	NOUN
fis-5332	144	10	[	[	X
fis-5332	144	11	5	5	NUM
fis-5332	144	12	]	]	X
fis-5332	144	13	mape	mape	NOUN
fis-5332	144	14	(	(	PUNCT
fis-5332	144	15	%	%	NOUN
fis-5332	144	16	)	)	PUNCT
fis-5332	144	17	lv	lv	PROPN
fis-5332	144	18	model	model	NOUN
fis-5332	144	19	[	[	X
fis-5332	144	20	6	6	NUM
fis-5332	144	21	]	]	X
fis-5332	144	22	mape	mape	NOUN
fis-5332	144	23	(	(	PUNCT
fis-5332	144	24	%	%	NOUN
fis-5332	144	25	)	)	PUNCT
fis-5332	144	26	wang	wang	PROPN
fis-5332	144	27	model	model	NOUN
fis-5332	145	1	[	[	X
fis-5332	145	2	7	7	NUM
fis-5332	145	3	]	]	X
fis-5332	145	4	mape	mape	NOUN
fis-5332	145	5	(	(	PUNCT
fis-5332	145	6	%	%	NOUN
fis-5332	145	7	)	)	PUNCT
fis-5332	145	8	peng	peng	PROPN
fis-5332	145	9	model	model	NOUN
fis-5332	146	1	[	[	X
fis-5332	146	2	8	8	NUM
fis-5332	146	3	]	]	X
fis-5332	146	4	mape	mape	NOUN
fis-5332	146	5	(	(	PUNCT
fis-5332	146	6	%	%	NOUN
fis-5332	146	7	)	)	PUNCT
fis-5332	146	8	butt	butt	NOUN
fis-5332	146	9	joint	joint	VERB
fis-5332	146	10	37.18	37.18	NUM
fis-5332	146	11	35.12	35.12	NUM
fis-5332	146	12	26.35	26.35	NUM
fis-5332	146	13	18.76	18.76	NUM
fis-5332	146	14	16.48	16.48	NUM
fis-5332	146	15	corner	corner	NOUN
fis-5332	146	16	joint	joint	ADJ
fis-5332	146	17	24.86	24.86	NUM
fis-5332	146	18	22.16	22.16	NUM
fis-5332	146	19	14.43	14.43	NUM
fis-5332	146	20	16.42	16.42	NUM
fis-5332	146	21	20.84	20.84	NUM
fis-5332	146	22	al-2024	al-2024	NOUN
fis-5332	146	23	-	-	PUNCT
fis-5332	146	24	t42	t42	NOUN
fis-5332	146	25	73.10	73.10	NUM
fis-5332	146	26	65.75	65.75	NUM
fis-5332	146	27	41.27	41.27	NUM
fis-5332	146	28	26.80	26.80	NUM
fis-5332	146	29	19.74	19.74	NUM
fis-5332	146	30	al-7070	al-7070	NOUN
fis-5332	146	31	-	-	PUNCT
fis-5332	146	32	t7451	t7451	PROPN
fis-5332	146	33	67.64	67.64	NUM
fis-5332	146	34	66.15	66.15	NUM
fis-5332	146	35	59.67	59.67	NUM
fis-5332	146	36	60.26	60.26	NUM
fis-5332	146	37	54.29	54.29	NUM
fis-5332	146	38	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	146	39	92.08	92.08	NUM
fis-5332	146	40	84.17	84.17	NUM
fis-5332	146	41	68.43	68.43	NUM
fis-5332	146	42	53.18	53.18	NUM
fis-5332	146	43	46.85	46.85	NUM
fis-5332	146	44	table	table	NOUN
fis-5332	146	45	1	1	NUM
fis-5332	146	46	:	:	PUNCT
fis-5332	146	47	mape	mape	NOUN
fis-5332	146	48	values	value	NOUN
fis-5332	146	49	of	of	ADP
fis-5332	146	50	five	five	NUM
fis-5332	146	51	traditional	traditional	ADJ
fis-5332	146	52	cumulative	cumulative	ADJ
fis-5332	146	53	damage	damage	NOUN
fis-5332	146	54	models	model	NOUN
fis-5332	146	55	.	.	PUNCT
fis-5332	147	1	according	accord	VERB
fis-5332	147	2	to	to	ADP
fis-5332	147	3	tab	tab	NOUN
fis-5332	147	4	.	.	PUNCT
fis-5332	147	5	1	1	NUM
fis-5332	147	6	,	,	PUNCT
fis-5332	147	7	the	the	DET
fis-5332	147	8	peng	peng	PROPN
fis-5332	147	9	model	model	NOUN
fis-5332	147	10	demonstrates	demonstrate	VERB
fis-5332	147	11	a	a	DET
fis-5332	147	12	notably	notably	ADV
fis-5332	147	13	smaller	small	ADJ
fis-5332	147	14	prediction	prediction	NOUN
fis-5332	147	15	error	error	NOUN
fis-5332	147	16	compared	compare	VERB
fis-5332	147	17	to	to	ADP
fis-5332	147	18	the	the	DET
fis-5332	147	19	other	other	ADJ
fis-5332	147	20	models	model	NOUN
fis-5332	147	21	for	for	ADP
fis-5332	147	22	materials	material	NOUN
fis-5332	147	23	such	such	ADJ
fis-5332	147	24	as	as	ADP
fis-5332	147	25	butt	butt	NOUN
fis-5332	147	26	joint	joint	ADJ
fis-5332	147	27	,	,	PUNCT
fis-5332	147	28	al-2024	al-2024	NOUN
fis-5332	147	29	-	-	PUNCT
fis-5332	147	30	t42	t42	NOUN
fis-5332	147	31	,	,	PUNCT
fis-5332	147	32	al-7075	al-7075	NOUN
fis-5332	147	33	-	-	PUNCT
fis-5332	147	34	t7451	t7451	PROPN
fis-5332	147	35	,	,	PUNCT
fis-5332	147	36	and	and	CCONJ
fis-5332	147	37	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	147	38	.	.	PUNCT
fis-5332	148	1	the	the	DET
fis-5332	148	2	peng	peng	PROPN
fis-5332	148	3	model	model	NOUN
fis-5332	148	4	exhibits	exhibit	VERB
fis-5332	148	5	a	a	DET
fis-5332	148	6	marginally	marginally	ADV
fis-5332	148	7	higher	high	ADJ
fis-5332	148	8	error	error	NOUN
fis-5332	148	9	on	on	ADP
fis-5332	148	10	corner	corner	NOUN
fis-5332	148	11	joint	joint	NOUN
fis-5332	148	12	as	as	SCONJ
fis-5332	148	13	opposed	oppose	VERB
fis-5332	148	14	to	to	ADP
fis-5332	148	15	the	the	DET
fis-5332	148	16	lv	lv	PROPN
fis-5332	148	17	and	and	CCONJ
fis-5332	148	18	wang	wang	PROPN
fis-5332	148	19	models	model	NOUN
fis-5332	148	20	compared	compare	VERB
fis-5332	148	21	to	to	ADP
fis-5332	148	22	other	other	ADJ
fis-5332	148	23	models	model	NOUN
fis-5332	148	24	.	.	PUNCT
fis-5332	149	1	in	in	ADP
fis-5332	149	2	general	general	ADJ
fis-5332	149	3	,	,	PUNCT
fis-5332	149	4	it	it	PRON
fis-5332	149	5	seems	seem	VERB
fis-5332	149	6	that	that	SCONJ
fis-5332	149	7	the	the	DET
fis-5332	149	8	peng	peng	PROPN
fis-5332	149	9	model	model	NOUN
fis-5332	149	10	has	have	VERB
fis-5332	149	11	the	the	DET
fis-5332	149	12	smallest	small	ADJ
fis-5332	149	13	prediction	prediction	NOUN
fis-5332	149	14	error	error	NOUN
fis-5332	149	15	.	.	PUNCT
fis-5332	150	1	in	in	ADP
fis-5332	150	2	this	this	DET
fis-5332	150	3	work	work	NOUN
fis-5332	150	4	,	,	PUNCT
fis-5332	150	5	the	the	DET
fis-5332	150	6	peng	peng	PROPN
fis-5332	150	7	model	model	NOUN
fis-5332	150	8	is	be	AUX
fis-5332	150	9	selected	select	VERB
fis-5332	150	10	as	as	ADP
fis-5332	150	11	the	the	DET
fis-5332	150	12	physical	physical	ADJ
fis-5332	150	13	loss	loss	NOUN
fis-5332	150	14	component	component	NOUN
fis-5332	150	15	to	to	PART
fis-5332	150	16	be	be	AUX
fis-5332	150	17	integrated	integrate	VERB
fis-5332	150	18	into	into	ADP
fis-5332	150	19	the	the	DET
fis-5332	150	20	generator	generator	NOUN
fis-5332	150	21	loss	loss	NOUN
fis-5332	150	22	function	function	NOUN
fis-5332	150	23	of	of	ADP
fis-5332	150	24	ctgan	ctgan	NOUN
fis-5332	150	25	.	.	PUNCT
fis-5332	151	1	the	the	DET
fis-5332	151	2	physical	physical	ADJ
fis-5332	151	3	loss	loss	NOUN
fis-5332	151	4	component	component	NOUN
fis-5332	151	5	serves	serve	VERB
fis-5332	151	6	as	as	ADP
fis-5332	151	7	a	a	DET
fis-5332	151	8	regularizer	regularizer	NOUN
fis-5332	151	9	within	within	ADP
fis-5332	151	10	the	the	DET
fis-5332	151	11	network	network	NOUN
fis-5332	151	12	,	,	PUNCT
fis-5332	151	13	aiding	aid	VERB
fis-5332	151	14	in	in	ADP
fis-5332	151	15	the	the	DET
fis-5332	151	16	improvement	improvement	NOUN
fis-5332	151	17	of	of	ADP
fis-5332	151	18	the	the	DET
fis-5332	151	19	training	training	NOUN
fis-5332	151	20	procedure	procedure	NOUN
fis-5332	151	21	.	.	PUNCT
fis-5332	152	1	the	the	DET
fis-5332	152	2	generator	generator	NOUN
fis-5332	152	3	is	be	AUX
fis-5332	152	4	enabled	enable	VERB
fis-5332	152	5	by	by	ADP
fis-5332	152	6	the	the	DET
fis-5332	152	7	physical	physical	ADJ
fis-5332	152	8	loss	loss	NOUN
fis-5332	152	9	term	term	NOUN
fis-5332	152	10	to	to	PART
fis-5332	152	11	produce	produce	VERB
fis-5332	152	12	data	datum	NOUN
fis-5332	152	13	that	that	PRON
fis-5332	152	14	adheres	adhere	VERB
fis-5332	152	15	to	to	ADP
fis-5332	152	16	physical	physical	ADJ
fis-5332	152	17	constraints	constraint	NOUN
fis-5332	152	18	.	.	PUNCT
fis-5332	153	1	the	the	DET
fis-5332	153	2	generator	generator	NOUN
fis-5332	153	3	's	's	PART
fis-5332	153	4	overall	overall	ADJ
fis-5332	153	5	loss	loss	NOUN
fis-5332	153	6	function	function	NOUN
fis-5332	153	7	in	in	ADP
fis-5332	153	8	this	this	DET
fis-5332	153	9	work	work	NOUN
fis-5332	153	10	is	be	AUX
fis-5332	153	11	formulated	formulate	VERB
fis-5332	153	12	as	as	SCONJ
fis-5332	153	13	follows	follow	VERB
fis-5332	153	14	:	:	PUNCT
fis-5332	154	1	=	=	SYM
fis-5332	154	2	+	+	PUNCT
fis-5332	155	1	+	+	CCONJ
fis-5332	155	2	+	+	ADJ
fis-5332	155	3	generator	generator	ADJ
fis-5332	155	4	adversarial	adversarial	ADJ
fis-5332	155	5	discrete	discrete	ADJ
fis-5332	155	6	mmd	mmd	NOUN
fis-5332	155	7	physicsl	physicsl	NOUN
fis-5332	155	8	l	l	PROPN
fis-5332	155	9	l	l	NOUN
fis-5332	155	10	l	l	X
fis-5332	155	11	l	l	NOUN
fis-5332	155	12	(	(	PUNCT
fis-5332	155	13	11	11	NUM
fis-5332	155	14	)	)	PUNCT
fis-5332	155	15	where	where	SCONJ
fis-5332	155	16	adversariall	adversariall	PROPN
fis-5332	155	17	is	be	AUX
fis-5332	155	18	the	the	DET
fis-5332	155	19	adversarial	adversarial	ADJ
fis-5332	155	20	loss	loss	NOUN
fis-5332	155	21	function	function	NOUN
fis-5332	155	22	,	,	PUNCT
fis-5332	155	23	discretel	discretel	NOUN
fis-5332	155	24	is	be	AUX
fis-5332	155	25	the	the	DET
fis-5332	155	26	discrete	discrete	ADJ
fis-5332	155	27	column	column	NOUN
fis-5332	155	28	loss	loss	NOUN
fis-5332	155	29	function	function	NOUN
fis-5332	155	30	,	,	PUNCT
fis-5332	155	31	mmdl	mmdl	NOUN
fis-5332	155	32	is	be	AUX
fis-5332	155	33	the	the	DET
fis-5332	155	34	max	max	PROPN
fis-5332	155	35	mean	mean	NOUN
fis-5332	155	36	discrepancy	discrepancy	NOUN
fis-5332	155	37	(	(	PUNCT
fis-5332	155	38	mmd	mmd	PROPN
fis-5332	155	39	)	)	PUNCT
fis-5332	155	40	loss	loss	NOUN
fis-5332	155	41	function	function	NOUN
fis-5332	155	42	[	[	X
fis-5332	155	43	25	25	NUM
fis-5332	155	44	]	]	PUNCT
fis-5332	155	45	and	and	CCONJ
fis-5332	155	46	physicsl	physicsl	NOUN
fis-5332	155	47	is	be	AUX
fis-5332	155	48	the	the	DET
fis-5332	155	49	physics	physics	NOUN
fis-5332	155	50	loss	loss	NOUN
fis-5332	155	51	function	function	NOUN
fis-5332	155	52	.	.	PUNCT
fis-5332	156	1	the	the	DET
fis-5332	156	2	adversarial	adversarial	ADJ
fis-5332	156	3	loss	loss	NOUN
fis-5332	156	4	function	function	NOUN
fis-5332	156	5	and	and	CCONJ
fis-5332	156	6	discrete	discrete	ADJ
fis-5332	156	7	column	column	NOUN
fis-5332	156	8	loss	loss	NOUN
fis-5332	156	9	function	function	NOUN
fis-5332	156	10	in	in	ADP
fis-5332	156	11	ctgan	ctgan	NOUN
fis-5332	156	12	are	be	AUX
fis-5332	156	13	shown	show	VERB
fis-5332	156	14	below	below	ADP
fis-5332	156	15	:	:	PUNCT
fis-5332	156	16	(	(	PUNCT
fis-5332	156	17	)	)	PUNCT
fis-5332	156	18	(	(	PUNCT
fis-5332	156	19	)	)	PUNCT
fis-5332	156	20	=	=	PUNCT
fis-5332	156	21	=	=	PUNCT
fis-5332	157	1	−	−	PROPN
fis-5332	157	2	∑	∑	PUNCT
fis-5332	157	3	n	n	X
fis-5332	157	4	adversarial	adversarial	ADJ
fis-5332	158	1	i	i	PRON
fis-5332	159	1	i	i	VERB
fis-5332	159	2	l	l	NOUN
fis-5332	160	1	d	d	X
fis-5332	160	2	g	g	NOUN
fis-5332	160	3	x	x	SYM
fis-5332	160	4	n	n	PROPN
fis-5332	160	5	1	1	NUM
fis-5332	160	6	1	1	NUM
fis-5332	160	7	log	log	NOUN
fis-5332	160	8	(	(	PUNCT
fis-5332	160	9	12	12	NUM
fis-5332	160	10	)	)	PUNCT
fis-5332	160	11	(	(	PUNCT
fis-5332	160	12	)	)	PUNCT
fis-5332	160	13	=	=	PUNCT
fis-5332	161	1	=	=	SYM
fis-5332	161	2	′=	′=	PROPN
fis-5332	161	3	−	−	PROPN
fis-5332	162	1	∑∑	∑∑	PROPN
fis-5332	162	2	n	n	CCONJ
fis-5332	162	3	k	k	NOUN
fis-5332	162	4	discrete	discrete	VERB
fis-5332	163	1	i	i	PRON
fis-5332	163	2	k	k	INTJ
fis-5332	164	1	i	i	PRON
fis-5332	164	2	k	k	INTJ
fis-5332	165	1	i	i	PRON
fis-5332	165	2	k	k	PROPN
fis-5332	166	1	l	l	NOUN
fis-5332	166	2	y	y	PROPN
fis-5332	166	3	y	y	PROPN
fis-5332	166	4	n	n	PROPN
fis-5332	166	5	,	,	PUNCT
fis-5332	166	6	,	,	PUNCT
fis-5332	166	7	1	1	NUM
fis-5332	166	8	1	1	NUM
fis-5332	166	9	1	1	NUM
fis-5332	166	10	log	log	NOUN
fis-5332	166	11	(	(	PUNCT
fis-5332	166	12	13	13	NUM
fis-5332	166	13	)	)	PUNCT
fis-5332	166	14	where	where	SCONJ
fis-5332	166	15	n	n	PRON
fis-5332	166	16	denotes	denote	VERB
fis-5332	166	17	the	the	DET
fis-5332	166	18	quantity	quantity	NOUN
fis-5332	166	19	of	of	ADP
fis-5332	166	20	data	datum	NOUN
fis-5332	166	21	,	,	PUNCT
fis-5332	166	22	ix	ix	ADV
fis-5332	166	23	signifies	signify	VERB
fis-5332	166	24	the	the	DET
fis-5332	166	25	input	input	NOUN
fis-5332	166	26	data	datum	NOUN
fis-5332	166	27	,	,	PUNCT
fis-5332	166	28	(	(	PUNCT
fis-5332	166	29	)	)	PUNCT
fis-5332	166	30	ig	ig	PROPN
fis-5332	166	31	x	x	PRON
fis-5332	166	32	represents	represent	VERB
fis-5332	166	33	the	the	DET
fis-5332	166	34	synthetic	synthetic	ADJ
fis-5332	166	35	data	datum	NOUN
fis-5332	166	36	generated	generate	VERB
fis-5332	166	37	based	base	VERB
fis-5332	166	38	on	on	ADP
fis-5332	166	39	the	the	DET
fis-5332	166	40	input	input	NOUN
fis-5332	166	41	,	,	PUNCT
fis-5332	166	42	and	and	CCONJ
fis-5332	166	43	(	(	PUNCT
fis-5332	166	44	)	)	PUNCT
fis-5332	166	45	(	(	PUNCT
fis-5332	166	46	)	)	PUNCT
fis-5332	166	47	i	i	NOUN
fis-5332	166	48	d	d	PROPN
fis-5332	166	49	g	g	PROPN
fis-5332	166	50	x	x	PUNCT
fis-5332	166	51	denotes	denote	VERB
fis-5332	166	52	the	the	DET
fis-5332	166	53	discriminator	discriminator	NOUN
fis-5332	166	54	's	's	PART
fis-5332	166	55	probability	probability	NOUN
fis-5332	166	56	of	of	ADP
fis-5332	166	57	deeming	deem	VERB
fis-5332	166	58	the	the	DET
fis-5332	166	59	synthetic	synthetic	ADJ
fis-5332	166	60	data	datum	NOUN
fis-5332	166	61	as	as	ADP
fis-5332	166	62	authentic	authentic	ADJ
fis-5332	166	63	.	.	PUNCT
fis-5332	167	1	k	k	PROPN
fis-5332	167	2	indicates	indicate	VERB
fis-5332	167	3	the	the	DET
fis-5332	167	4	count	count	NOUN
fis-5332	167	5	of	of	ADP
fis-5332	167	6	potential	potential	ADJ
fis-5332	167	7	values	value	NOUN
fis-5332	167	8	for	for	ADP
fis-5332	167	9	the	the	DET
fis-5332	167	10	discrete	discrete	ADJ
fis-5332	167	11	column	column	NOUN
fis-5332	167	12	,	,	PUNCT
fis-5332	167	13	i	i	PRON
fis-5332	167	14	ky	ky	PROPN
fis-5332	167	15	,	,	PUNCT
fis-5332	167	16	signifies	signify	VERB
fis-5332	167	17	the	the	DET
fis-5332	167	18	actual	actual	ADJ
fis-5332	167	19	probability	probability	NOUN
fis-5332	167	20	of	of	ADP
fis-5332	167	21	the	the	DET
fis-5332	167	22	kth	kth	PROPN
fis-5332	167	23	value	value	NOUN
fis-5332	167	24	in	in	ADP
fis-5332	167	25	the	the	DET
fis-5332	167	26	discrete	discrete	ADJ
fis-5332	167	27	column	column	NOUN
fis-5332	167	28	for	for	ADP
fis-5332	167	29	the	the	DET
fis-5332	167	30	i	i	PROPN
fis-5332	167	31	-	-	PUNCT
fis-5332	167	32	th	th	X
fis-5332	167	33	sample	sample	NOUN
fis-5332	167	34	,	,	PUNCT
fis-5332	167	35	and	and	CCONJ
fis-5332	167	36	′i	′i	PROPN
fis-5332	167	37	ky	ky	PROPN
fis-5332	167	38	,	,	PUNCT
fis-5332	167	39	denotes	denote	VERB
fis-5332	167	40	the	the	DET
fis-5332	167	41	probability	probability	NOUN
fis-5332	167	42	of	of	ADP
fis-5332	167	43	the	the	DET
fis-5332	167	44	same	same	ADJ
fis-5332	167	45	kth	kth	NOUN
fis-5332	167	46	value	value	NOUN
fis-5332	167	47	generated	generate	VERB
fis-5332	167	48	by	by	ADP
fis-5332	167	49	the	the	DET
fis-5332	167	50	generator	generator	NOUN
fis-5332	167	51	for	for	ADP
fis-5332	167	52	the	the	DET
fis-5332	167	53	i	i	PROPN
fis-5332	167	54	-	-	PUNCT
fis-5332	167	55	th	th	VERB
fis-5332	167	56	sample	sample	NOUN
fis-5332	167	57	.	.	PUNCT
fis-5332	168	1	the	the	DET
fis-5332	168	2	generator	generator	NOUN
fis-5332	168	3	's	's	PART
fis-5332	168	4	adversarial	adversarial	ADJ
fis-5332	168	5	loss	loss	NOUN
fis-5332	168	6	function	function	NOUN
fis-5332	168	7	primarily	primarily	ADV
fis-5332	168	8	strives	strive	VERB
fis-5332	168	9	to	to	PART
fis-5332	168	10	decrease	decrease	VERB
fis-5332	168	11	the	the	DET
fis-5332	168	12	discriminator	discriminator	NOUN
fis-5332	168	13	's	's	PART
fis-5332	168	14	likelihood	likelihood	NOUN
fis-5332	168	15	of	of	ADP
fis-5332	168	16	classifying	classify	VERB
fis-5332	168	17	the	the	DET
fis-5332	168	18	generated	generate	VERB
fis-5332	168	19	sample	sample	NOUN
fis-5332	168	20	as	as	ADP
fis-5332	168	21	fake	fake	ADJ
fis-5332	168	22	.	.	PUNCT
fis-5332	169	1	in	in	ADP
fis-5332	169	2	essence	essence	NOUN
fis-5332	169	3	,	,	PUNCT
fis-5332	169	4	it	it	PRON
fis-5332	169	5	aims	aim	VERB
fis-5332	169	6	to	to	PART
fis-5332	169	7	elevate	elevate	VERB
fis-5332	169	8	the	the	DET
fis-5332	169	9	probability	probability	NOUN
fis-5332	169	10	that	that	SCONJ
fis-5332	169	11	discriminator	discriminator	NOUN
fis-5332	169	12	will	will	AUX
fis-5332	169	13	deem	deem	AUX
fis-5332	169	14	generated	generate	VERB
fis-5332	169	15	sample	sample	NOUN
fis-5332	169	16	as	as	ADP
fis-5332	169	17	authentic	authentic	ADJ
fis-5332	169	18	.	.	PUNCT
fis-5332	170	1	in	in	ADP
fis-5332	170	2	ctgan	ctgan	NOUN
fis-5332	170	3	,	,	PUNCT
fis-5332	170	4	the	the	DET
fis-5332	170	5	loss	loss	NOUN
fis-5332	170	6	function	function	NOUN
fis-5332	170	7	for	for	ADP
fis-5332	170	8	discrete	discrete	ADJ
fis-5332	170	9	columns	column	NOUN
fis-5332	170	10	typically	typically	ADV
fis-5332	170	11	utilizes	utilize	VERB
fis-5332	170	12	cross	cros	NOUN
fis-5332	170	13	-	-	NOUN
fis-5332	170	14	entropy	entropy	NOUN
fis-5332	170	15	to	to	PART
fis-5332	170	16	diminish	diminish	VERB
fis-5332	170	17	the	the	DET
fis-5332	170	18	discrepancy	discrepancy	NOUN
fis-5332	170	19	between	between	ADP
fis-5332	170	20	the	the	DET
fis-5332	170	21	probability	probability	NOUN
fis-5332	170	22	distribution	distribution	NOUN
fis-5332	170	23	of	of	ADP
fis-5332	170	24	the	the	DET
fis-5332	170	25	generated	generate	VERB
fis-5332	170	26	discrete	discrete	ADJ
fis-5332	170	27	data	datum	NOUN
fis-5332	170	28	and	and	CCONJ
fis-5332	170	29	that	that	PRON
fis-5332	170	30	of	of	ADP
fis-5332	170	31	the	the	DET
fis-5332	170	32	real	real	ADJ
fis-5332	170	33	data	datum	NOUN
fis-5332	170	34	.	.	PUNCT
fis-5332	171	1	it	it	PRON
fis-5332	171	2	ensures	ensure	VERB
fis-5332	171	3	a	a	DET
fis-5332	171	4	tight	tight	ADJ
fis-5332	171	5	correspondence	correspondence	NOUN
fis-5332	171	6	between	between	ADP
fis-5332	171	7	the	the	DET
fis-5332	171	8	probability	probability	NOUN
fis-5332	171	9	distribution	distribution	NOUN
fis-5332	171	10	of	of	ADP
fis-5332	171	11	the	the	DET
fis-5332	171	12	authentic	authentic	ADJ
fis-5332	171	13	data	datum	NOUN
fis-5332	171	14	and	and	CCONJ
fis-5332	171	15	that	that	PRON
fis-5332	171	16	of	of	ADP
fis-5332	171	17	the	the	DET
fis-5332	171	18	synthetic	synthetic	ADJ
fis-5332	171	19	discrete	discrete	ADJ
fis-5332	171	20	data	datum	NOUN
fis-5332	171	21	.	.	PUNCT
fis-5332	172	1	this	this	DET
fis-5332	172	2	work	work	NOUN
fis-5332	172	3	introduces	introduce	VERB
fis-5332	172	4	two	two	NUM
fis-5332	172	5	additional	additional	ADJ
fis-5332	172	6	loss	loss	NOUN
fis-5332	172	7	functions	function	NOUN
fis-5332	172	8	to	to	ADP
fis-5332	172	9	the	the	DET
fis-5332	172	10	base	base	NOUN
fis-5332	172	11	ctgan	ctgan	NOUN
fis-5332	172	12	:	:	PUNCT
fis-5332	172	13	the	the	DET
fis-5332	172	14	mmd	mmd	NOUN
fis-5332	172	15	loss	loss	NOUN
fis-5332	172	16	function	function	NOUN
fis-5332	172	17	and	and	CCONJ
fis-5332	172	18	the	the	DET
fis-5332	172	19	physical	physical	ADJ
fis-5332	172	20	loss	loss	NOUN
fis-5332	172	21	function	function	NOUN
fis-5332	172	22	.	.	PUNCT
fis-5332	173	1	below	below	ADV
fis-5332	173	2	is	be	AUX
fis-5332	173	3	the	the	DET
fis-5332	173	4	representation	representation	NOUN
fis-5332	173	5	of	of	ADP
fis-5332	173	6	mmd	mmd	PROPN
fis-5332	173	7	loss	loss	NOUN
fis-5332	173	8	function	function	NOUN
fis-5332	173	9	:	:	PUNCT
fis-5332	173	10	(	(	PUNCT
fis-5332	173	11	)	)	PUNCT
fis-5332	173	12	(	(	PUNCT
fis-5332	173	13	)	)	PUNCT
fis-5332	173	14	(	(	PUNCT
fis-5332	173	15	)	)	PUNCT
fis-5332	173	16	=	=	PUNCT
fis-5332	174	1	=	=	PUNCT
fis-5332	174	2	=	=	PUNCT
fis-5332	174	3	φ	φ	PROPN
fis-5332	174	4	−	−	PROPN
fis-5332	175	1	φ∑	φ∑	NOUN
fis-5332	175	2	∑	∑	PROPN
fis-5332	175	3	n	n	PRON
fis-5332	175	4	m	m	VERB
fis-5332	175	5	mmd	mmd	NOUN
fis-5332	176	1	i	i	INTJ
fis-5332	176	2	j	j	PROPN
fis-5332	177	1	i	i	PRON
fis-5332	177	2	j	j	PROPN
fis-5332	178	1	l	l	NOUN
fis-5332	178	2	p	p	X
fis-5332	178	3	q	q	X
fis-5332	178	4	y	y	PROPN
fis-5332	178	5	y	y	PROPN
fis-5332	178	6	n	n	ADV
fis-5332	178	7	m	m	VERB
fis-5332	178	8	2	2	NUM
fis-5332	178	9	1	1	NUM
fis-5332	178	10	1	1	NUM
fis-5332	178	11	1	1	NUM
fis-5332	178	12	1	1	NUM
fis-5332	178	13	,	,	PUNCT
fis-5332	178	14	(	(	PUNCT
fis-5332	178	15	14	14	NUM
fis-5332	178	16	)	)	PUNCT
fis-5332	178	17	where	where	SCONJ
fis-5332	178	18	p	p	NOUN
fis-5332	178	19	denotes	denote	VERB
fis-5332	178	20	the	the	DET
fis-5332	178	21	probability	probability	NOUN
fis-5332	178	22	distribution	distribution	NOUN
fis-5332	178	23	of	of	ADP
fis-5332	178	24	the	the	DET
fis-5332	178	25	data	datum	NOUN
fis-5332	178	26	produced	produce	VERB
fis-5332	178	27	by	by	ADP
fis-5332	178	28	the	the	DET
fis-5332	178	29	generator	generator	NOUN
fis-5332	178	30	and	and	CCONJ
fis-5332	178	31	q	q	NOUN
fis-5332	178	32	represents	represent	VERB
fis-5332	178	33	the	the	DET
fis-5332	178	34	probability	probability	NOUN
fis-5332	178	35	distribution	distribution	NOUN
fis-5332	178	36	of	of	ADP
fis-5332	178	37	the	the	DET
fis-5332	178	38	real	real	ADJ
fis-5332	178	39	data	datum	NOUN
fis-5332	178	40	.	.	PUNCT
fis-5332	179	1	n	n	PROPN
fis-5332	179	2	and	and	CCONJ
fis-5332	179	3	m	m	PROPN
fis-5332	179	4	are	be	AUX
fis-5332	179	5	the	the	DET
fis-5332	179	6	number	number	NOUN
fis-5332	179	7	of	of	ADP
fis-5332	179	8	samples	sample	NOUN
fis-5332	179	9	obtained	obtain	VERB
fis-5332	179	10	by	by	ADP
fis-5332	179	11	sampling	sample	VERB
fis-5332	179	12	from	from	ADP
fis-5332	179	13	p	p	NOUN
fis-5332	179	14	and	and	CCONJ
fis-5332	179	15	q	q	NOUN
fis-5332	179	16	,	,	PUNCT
fis-5332	179	17	respectively	respectively	ADV
fis-5332	179	18	.	.	PUNCT
fis-5332	180	1	iy	iy	PROPN
fis-5332	180	2	x.	x.	PROPN
fis-5332	180	3	cao	cao	PROPN
fis-5332	180	4	et	et	PROPN
fis-5332	180	5	alii	alii	PROPN
fis-5332	180	6	,	,	PUNCT
fis-5332	180	7	frattura	frattura	PROPN
fis-5332	180	8	ed	ed	PROPN
fis-5332	180	9	integrità	integrità	PROPN
fis-5332	180	10	strutturale	strutturale	PROPN
fis-5332	180	11	,	,	PUNCT
fis-5332	180	12	72	72	NUM
fis-5332	180	13	(	(	PUNCT
fis-5332	180	14	2025	2025	NUM
fis-5332	180	15	)	)	PUNCT
fis-5332	180	16	162	162	NUM
fis-5332	180	17	-	-	SYM
fis-5332	180	18	178	178	NUM
fis-5332	180	19	;	;	PUNCT
fis-5332	180	20	doi	doi	NOUN
fis-5332	180	21	:	:	PUNCT
fis-5332	180	22	10.3221	10.3221	NUM
fis-5332	180	23	/	/	SYM
fis-5332	180	24	igf	igf	PROPN
fis-5332	180	25	-	-	PUNCT
fis-5332	180	26	esis.72.12	esis.72.12	PROPN
fis-5332	180	27	168	168	NUM
fis-5332	180	28	and	and	CCONJ
fis-5332	180	29	jy	jy	PROPN
fis-5332	180	30	are	be	AUX
fis-5332	180	31	the	the	DET
fis-5332	180	32	samples	sample	NOUN
fis-5332	180	33	obtained	obtain	VERB
fis-5332	180	34	by	by	ADP
fis-5332	180	35	sampling	sample	VERB
fis-5332	180	36	from	from	ADP
fis-5332	180	37	p	p	NOUN
fis-5332	180	38	and	and	CCONJ
fis-5332	180	39	q	q	NOUN
fis-5332	180	40	,	,	PUNCT
fis-5332	180	41	respectively	respectively	ADV
fis-5332	180	42	.	.	PUNCT
fis-5332	181	1	(	(	PUNCT
fis-5332	181	2	)	)	PUNCT
fis-5332	181	3	φ	φ	PROPN
fis-5332	181	4	*	*	PUNCT
fis-5332	181	5	serves	serve	VERB
fis-5332	181	6	as	as	ADP
fis-5332	181	7	a	a	DET
fis-5332	181	8	feature	feature	NOUN
fis-5332	181	9	mapping	mapping	NOUN
fis-5332	181	10	function	function	NOUN
fis-5332	181	11	,	,	PUNCT
fis-5332	181	12	transforming	transform	VERB
fis-5332	181	13	the	the	DET
fis-5332	181	14	samples	sample	NOUN
fis-5332	181	15	into	into	ADP
fis-5332	181	16	a	a	DET
fis-5332	181	17	higher	higher	ADV
fis-5332	181	18	-	-	PUNCT
fis-5332	181	19	dimensional	dimensional	ADJ
fis-5332	181	20	feature	feature	NOUN
fis-5332	181	21	space	space	NOUN
fis-5332	181	22	.	.	PUNCT
fis-5332	182	1	mmd	mmd	PROPN
fis-5332	182	2	aims	aim	VERB
fis-5332	182	3	to	to	PART
fis-5332	182	4	minimize	minimize	VERB
fis-5332	182	5	the	the	DET
fis-5332	182	6	distance	distance	NOUN
fis-5332	182	7	separating	separate	VERB
fis-5332	182	8	two	two	NUM
fis-5332	182	9	probability	probability	NOUN
fis-5332	182	10	distributions	distribution	NOUN
fis-5332	182	11	,	,	PUNCT
fis-5332	182	12	ensuring	ensure	VERB
fis-5332	182	13	that	that	SCONJ
fis-5332	182	14	generator	generator	NOUN
fis-5332	182	15	's	's	PART
fis-5332	182	16	sample	sample	NOUN
fis-5332	182	17	distribution	distribution	NOUN
fis-5332	182	18	closely	closely	ADV
fis-5332	182	19	approximates	approximate	VERB
fis-5332	182	20	genuine	genuine	ADJ
fis-5332	182	21	sample	sample	NOUN
fis-5332	182	22	distribution	distribution	NOUN
fis-5332	182	23	.	.	PUNCT
fis-5332	183	1	often	often	ADV
fis-5332	183	2	,	,	PUNCT
fis-5332	183	3	it	it	PRON
fis-5332	183	4	is	be	AUX
fis-5332	183	5	integrated	integrate	VERB
fis-5332	183	6	into	into	ADP
fis-5332	183	7	gan	gan	PROPN
fis-5332	183	8	as	as	ADP
fis-5332	183	9	a	a	DET
fis-5332	183	10	component	component	NOUN
fis-5332	183	11	of	of	ADP
fis-5332	183	12	the	the	DET
fis-5332	183	13	generator	generator	NOUN
fis-5332	183	14	's	's	PART
fis-5332	183	15	loss	loss	NOUN
fis-5332	183	16	function	function	NOUN
fis-5332	183	17	,	,	PUNCT
fis-5332	183	18	with	with	ADP
fis-5332	183	19	the	the	DET
fis-5332	183	20	goal	goal	NOUN
fis-5332	183	21	of	of	ADP
fis-5332	183	22	decreasing	decrease	VERB
fis-5332	183	23	the	the	DET
fis-5332	183	24	discrepancy	discrepancy	NOUN
fis-5332	183	25	between	between	ADP
fis-5332	183	26	generated	generate	VERB
fis-5332	183	27	and	and	CCONJ
fis-5332	183	28	true	true	ADJ
fis-5332	183	29	values	value	NOUN
fis-5332	183	30	.	.	PUNCT
fis-5332	184	1	the	the	DET
fis-5332	184	2	physical	physical	ADJ
fis-5332	184	3	loss	loss	NOUN
fis-5332	184	4	function	function	NOUN
fis-5332	184	5	is	be	AUX
fis-5332	184	6	derived	derive	VERB
fis-5332	184	7	from	from	ADP
fis-5332	184	8	the	the	DET
fis-5332	184	9	peng	peng	PROPN
fis-5332	184	10	fatigue	fatigue	NOUN
fis-5332	184	11	life	life	NOUN
fis-5332	184	12	prediction	prediction	NOUN
fis-5332	184	13	model	model	NOUN
fis-5332	184	14	and	and	CCONJ
fis-5332	184	15	is	be	AUX
fis-5332	184	16	applied	apply	VERB
fis-5332	184	17	to	to	ADP
fis-5332	184	18	this	this	DET
fis-5332	184	19	loss	loss	NOUN
fis-5332	184	20	component	component	NOUN
fis-5332	184	21	as	as	ADP
fis-5332	184	22	detailed	detailed	ADJ
fis-5332	184	23	below	below	ADV
fis-5332	184	24	:	:	PUNCT
fis-5332	184	25	(	(	PUNCT
fis-5332	184	26	)	)	PUNCT
fis-5332	184	27	σ	σ	PROPN
fis-5332	184	28	σ	σ	PROPN
fis-5332	184	29			NOUN
fis-5332	184	30			PROPN
fis-5332	184	31			PROPN
fis-5332	184	32			PROPN
fis-5332	184	33	−	−	PROPN
fis-5332	184	34			X
fis-5332	184	35			PUNCT
fis-5332	185	1			PROPN
fis-5332	185	2			NOUN
fis-5332	185	3			NOUN
fis-5332	185	4			NOUN
fis-5332	185	5			NOUN
fis-5332	185	6			NOUN
fis-5332	185	7			VERB
fis-5332	185	8			NOUN
fis-5332	185	9			PUNCT
fis-5332	185	10			PROPN
fis-5332	185	11			PROPN
fis-5332	185	12			NOUN
fis-5332	185	13			NOUN
fis-5332	185	14			NOUN
fis-5332	185	15			NOUN
fis-5332	185	16			VERB
fis-5332	185	17			PROPN
fis-5332	185	18	=	=	PROPN
fis-5332	185	19	⋅	⋅	VERB
fis-5332	185	20			NOUN
fis-5332	185	21			PROPN
fis-5332	185	22			VERB
fis-5332	185	23			NOUN
fis-5332	185	24			PROPN
fis-5332	185	25			NOUN
fis-5332	185	26			NOUN
fis-5332	185	27			NOUN
fis-5332	185	28			NOUN
fis-5332	185	29			VERB
fis-5332	185	30			PRON
fis-5332	185	31			PUNCT
fis-5332	186	1	f	f	PROPN
fis-5332	186	2	f	f	PROPN
fis-5332	186	3	n	n	CCONJ
fis-5332	186	4	n	n	CCONJ
fis-5332	186	5	n	n	PROPN
fis-5332	186	6	physics	physics	NOUN
fis-5332	186	7	f	f	PROPN
fis-5332	186	8	f	f	PROPN
fis-5332	186	9	l	l	PROPN
fis-5332	186	10	n	n	CCONJ
fis-5332	186	11	n	n	ADV
fis-5332	186	12	2	2	NUM
fis-5332	186	13	1	1	NUM
fis-5332	186	14	1	1	NUM
fis-5332	186	15	1	1	NUM
fis-5332	186	16	1	1	NUM
fis-5332	186	17	ln	ln	NOUN
fis-5332	186	18	1	1	NUM
fis-5332	186	19	ln	ln	NOUN
fis-5332	186	20	2	2	NUM
fis-5332	186	21	2	2	NUM
fis-5332	186	22	1	1	NUM
fis-5332	186	23	(	(	PUNCT
fis-5332	186	24	15	15	NUM
fis-5332	186	25	)	)	PUNCT
fis-5332	186	26	where	where	SCONJ
fis-5332	186	27	σ1	σ1	PROPN
fis-5332	186	28	denotes	denote	VERB
fis-5332	186	29	the	the	DET
fis-5332	186	30	first	first	ADJ
fis-5332	186	31	stress	stress	NOUN
fis-5332	186	32	level	level	NOUN
fis-5332	186	33	,	,	PUNCT
fis-5332	186	34	σ	σ	PROPN
fis-5332	186	35	2	2	NUM
fis-5332	186	36	denotes	denote	VERB
fis-5332	186	37	the	the	DET
fis-5332	186	38	second	second	ADJ
fis-5332	186	39	stress	stress	NOUN
fis-5332	186	40	level	level	NOUN
fis-5332	186	41	,	,	PUNCT
fis-5332	186	42	fn	fn	NOUN
fis-5332	186	43	1	1	NUM
fis-5332	186	44	is	be	AUX
fis-5332	186	45	the	the	DET
fis-5332	186	46	fatigue	fatigue	NOUN
fis-5332	186	47	life	life	NOUN
fis-5332	186	48	under	under	ADP
fis-5332	186	49	σ1	σ1	PROPN
fis-5332	186	50	,	,	PUNCT
fis-5332	186	51	fn	fn	PROPN
fis-5332	186	52	2	2	NUM
fis-5332	186	53	is	be	AUX
fis-5332	186	54	the	the	DET
fis-5332	186	55	fatigue	fatigue	NOUN
fis-5332	186	56	life	life	NOUN
fis-5332	186	57	under	under	ADP
fis-5332	186	58	σ	σ	PROPN
fis-5332	186	59	2	2	NUM
fis-5332	186	60	,	,	PUNCT
fis-5332	186	61	and	and	CCONJ
fis-5332	186	62	n1	n1	NOUN
fis-5332	186	63	is	be	AUX
fis-5332	186	64	the	the	DET
fis-5332	186	65	number	number	NOUN
fis-5332	186	66	of	of	ADP
fis-5332	186	67	cycles	cycle	NOUN
fis-5332	186	68	under	under	ADP
fis-5332	186	69	the	the	DET
fis-5332	186	70	first	first	ADJ
fis-5332	186	71	level	level	NOUN
fis-5332	186	72	of	of	ADP
fis-5332	186	73	stress	stress	NOUN
fis-5332	186	74	.	.	PUNCT
fis-5332	187	1	incorporating	incorporate	VERB
fis-5332	187	2	physical	physical	ADJ
fis-5332	187	3	loss	loss	NOUN
fis-5332	187	4	function	function	NOUN
fis-5332	187	5	allows	allow	VERB
fis-5332	187	6	the	the	DET
fis-5332	187	7	generated	generate	VERB
fis-5332	187	8	fatigue	fatigue	NOUN
fis-5332	187	9	data	datum	NOUN
fis-5332	187	10	to	to	PART
fis-5332	187	11	adhere	adhere	VERB
fis-5332	187	12	to	to	ADP
fis-5332	187	13	physical	physical	ADJ
fis-5332	187	14	laws	law	NOUN
fis-5332	187	15	,	,	PUNCT
fis-5332	187	16	resulting	result	VERB
fis-5332	187	17	in	in	ADP
fis-5332	187	18	generated	generate	VERB
fis-5332	187	19	residual	residual	ADJ
fis-5332	187	20	fatigue	fatigue	NOUN
fis-5332	187	21	life	life	NOUN
fis-5332	187	22	values	value	NOUN
fis-5332	187	23	that	that	PRON
fis-5332	187	24	are	be	AUX
fis-5332	187	25	closer	close	ADJ
fis-5332	187	26	to	to	ADP
fis-5332	187	27	the	the	DET
fis-5332	187	28	real	real	ADJ
fis-5332	187	29	data	datum	NOUN
fis-5332	187	30	n2	n2	NOUN
fis-5332	187	31	.	.	PUNCT
fis-5332	188	1	it	it	PRON
fis-5332	188	2	also	also	ADV
fis-5332	188	3	reflects	reflect	VERB
fis-5332	188	4	the	the	DET
fis-5332	188	5	fatigue	fatigue	NOUN
fis-5332	188	6	behavior	behavior	NOUN
fis-5332	188	7	features	feature	NOUN
fis-5332	188	8	and	and	CCONJ
fis-5332	188	9	the	the	DET
fis-5332	188	10	prior	prior	ADJ
fis-5332	188	11	training	training	NOUN
fis-5332	188	12	process	process	NOUN
fis-5332	188	13	is	be	AUX
fis-5332	188	14	more	more	ADV
fis-5332	188	15	stable	stable	ADJ
fis-5332	188	16	.	.	PUNCT
fis-5332	189	1	in	in	ADP
fis-5332	189	2	ctgan	ctgan	NOUN
fis-5332	189	3	,	,	PUNCT
fis-5332	189	4	the	the	DET
fis-5332	189	5	discriminator	discriminator	NOUN
fis-5332	189	6	's	's	PART
fis-5332	189	7	loss	loss	NOUN
fis-5332	189	8	function	function	NOUN
fis-5332	189	9	is	be	AUX
fis-5332	189	10	usually	usually	ADV
fis-5332	189	11	based	base	VERB
fis-5332	189	12	on	on	ADP
fis-5332	189	13	the	the	DET
fis-5332	189	14	adversarial	adversarial	ADJ
fis-5332	189	15	training	training	NOUN
fis-5332	189	16	principle	principle	NOUN
fis-5332	189	17	.	.	PUNCT
fis-5332	190	1	the	the	DET
fis-5332	190	2	cross	cross	ADJ
fis-5332	190	3	-	-	ADJ
fis-5332	190	4	entropy	entropy	ADJ
fis-5332	190	5	loss	loss	NOUN
fis-5332	190	6	function	function	NOUN
fis-5332	190	7	is	be	AUX
fis-5332	190	8	commonly	commonly	ADV
fis-5332	190	9	employed	employ	VERB
fis-5332	190	10	,	,	PUNCT
fis-5332	190	11	and	and	CCONJ
fis-5332	190	12	it	it	PRON
fis-5332	190	13	is	be	AUX
fis-5332	190	14	expressed	express	VERB
fis-5332	190	15	as	as	SCONJ
fis-5332	190	16	follows	follow	VERB
fis-5332	190	17	:	:	PUNCT
fis-5332	190	18	(	(	PUNCT
fis-5332	190	19	)	)	PUNCT
fis-5332	190	20	(	(	PUNCT
fis-5332	190	21	)	)	PUNCT
fis-5332	190	22	(	(	PUNCT
fis-5332	190	23	)	)	PUNCT
fis-5332	190	24	(	(	PUNCT
fis-5332	190	25	)	)	PUNCT
fis-5332	190	26	(	(	PUNCT
fis-5332	190	27	)	)	PUNCT
fis-5332	191	1	=	=	NOUN
fis-5332	191	2			PROPN
fis-5332	191	3	′	′	PROPN
fis-5332	191	4	′=	′=	PROPN
fis-5332	191	5	−	−	PROPN
fis-5332	192	1	+	+	CCONJ
fis-5332	192	2	−	−	PROPN
fis-5332	192	3	−	−	PROPN
fis-5332	192	4	∑	∑	VERB
fis-5332	192	5	n	n	CCONJ
fis-5332	192	6	discri	discri	ADJ
fis-5332	192	7	ator	ator	NOUN
fis-5332	192	8	i	i	PRON
fis-5332	193	1	i	i	PRON
fis-5332	193	2	i	i	PRON
fis-5332	194	1	i	i	PRON
fis-5332	195	1	i	i	VERB
fis-5332	195	2	l	l	NOUN
fis-5332	195	3	label	label	NOUN
fis-5332	196	1	d	d	NOUN
fis-5332	196	2	x	x	PUNCT
fis-5332	196	3	label	label	NOUN
fis-5332	196	4	d	d	X
fis-5332	196	5	x	x	SYM
fis-5332	196	6	nmin	nmin	NOUN
fis-5332	196	7	1	1	NUM
fis-5332	196	8	1	1	NUM
fis-5332	196	9	log	log	NOUN
fis-5332	196	10	1	1	NUM
fis-5332	196	11	log	log	NOUN
fis-5332	196	12	1	1	NUM
fis-5332	196	13	(	(	PUNCT
fis-5332	196	14	16	16	NUM
fis-5332	196	15	)	)	PUNCT
fis-5332	196	16	where	where	SCONJ
fis-5332	196	17	,	,	PUNCT
fis-5332	196	18	′ix	′ix	NOUN
fis-5332	196	19	is	be	AUX
fis-5332	196	20	the	the	DET
fis-5332	196	21	input	input	NOUN
fis-5332	196	22	generated	generate	VERB
fis-5332	196	23	data	datum	NOUN
fis-5332	196	24	,	,	PUNCT
fis-5332	196	25	ilabel	ilabel	ADV
fis-5332	196	26	is	be	AUX
fis-5332	196	27	the	the	DET
fis-5332	196	28	real	real	ADJ
fis-5332	196	29	label	label	NOUN
fis-5332	196	30	,	,	PUNCT
fis-5332	196	31	the	the	DET
fis-5332	196	32	real	real	ADJ
fis-5332	196	33	data	datum	NOUN
fis-5332	196	34	takes	take	VERB
fis-5332	196	35	the	the	DET
fis-5332	196	36	value	value	NOUN
fis-5332	196	37	of	of	ADP
fis-5332	196	38	1	1	NUM
fis-5332	196	39	,	,	PUNCT
fis-5332	196	40	the	the	DET
fis-5332	196	41	generated	generate	VERB
fis-5332	196	42	fake	fake	ADJ
fis-5332	196	43	data	datum	NOUN
fis-5332	196	44	takes	take	VERB
fis-5332	196	45	the	the	DET
fis-5332	196	46	value	value	NOUN
fis-5332	196	47	of	of	ADP
fis-5332	196	48	0	0	NUM
fis-5332	196	49	,	,	PUNCT
fis-5332	196	50	and	and	CCONJ
fis-5332	196	51	(	(	PUNCT
fis-5332	196	52	)	)	PUNCT
fis-5332	196	53	′id	′id	NOUN
fis-5332	196	54	x	x	PUNCT
fis-5332	196	55	is	be	AUX
fis-5332	196	56	the	the	DET
fis-5332	196	57	probability	probability	NOUN
fis-5332	196	58	of	of	ADP
fis-5332	196	59	judging	judge	VERB
fis-5332	196	60	that	that	SCONJ
fis-5332	196	61	the	the	DET
fis-5332	196	62	data	data	NOUN
fis-5332	196	63	is	be	AUX
fis-5332	196	64	real	real	ADJ
fis-5332	196	65	data	datum	NOUN
fis-5332	196	66	.	.	PUNCT
fis-5332	197	1	this	this	DET
fis-5332	197	2	loss	loss	NOUN
fis-5332	197	3	function	function	NOUN
fis-5332	197	4	boosts	boost	VERB
fis-5332	197	5	the	the	DET
fis-5332	197	6	discriminator	discriminator	NOUN
fis-5332	197	7	's	's	PART
fis-5332	197	8	capacity	capacity	NOUN
fis-5332	197	9	to	to	PART
fis-5332	197	10	differentiate	differentiate	VERB
fis-5332	197	11	accurately	accurately	ADV
fis-5332	197	12	between	between	ADP
fis-5332	197	13	genuine	genuine	ADJ
fis-5332	197	14	and	and	CCONJ
fis-5332	197	15	synthesized	synthesize	VERB
fis-5332	197	16	samples	sample	NOUN
fis-5332	197	17	.	.	PUNCT
fis-5332	198	1	at	at	ADP
fis-5332	198	2	the	the	DET
fis-5332	198	3	same	same	ADJ
fis-5332	198	4	time	time	NOUN
fis-5332	198	5	,	,	PUNCT
fis-5332	198	6	it	it	PRON
fis-5332	198	7	minimizes	minimize	VERB
fis-5332	198	8	the	the	DET
fis-5332	198	9	probability	probability	NOUN
fis-5332	198	10	of	of	ADP
fis-5332	198	11	incorrectly	incorrectly	ADV
fis-5332	198	12	classifying	classify	VERB
fis-5332	198	13	a	a	DET
fis-5332	198	14	generated	generate	VERB
fis-5332	198	15	sample	sample	NOUN
fis-5332	198	16	as	as	ADP
fis-5332	198	17	real	real	ADJ
fis-5332	198	18	.	.	PUNCT
fis-5332	199	1	in	in	ADP
fis-5332	199	2	contrast	contrast	NOUN
fis-5332	199	3	to	to	ADP
fis-5332	199	4	original	original	ADJ
fis-5332	199	5	gan	gan	NOUN
fis-5332	199	6	,	,	PUNCT
fis-5332	199	7	the	the	DET
fis-5332	199	8	input	input	NOUN
fis-5332	199	9	for	for	ADP
fis-5332	199	10	ctgan	ctgan	ADJ
fis-5332	199	11	generator	generator	NOUN
fis-5332	199	12	in	in	ADP
fis-5332	199	13	this	this	DET
fis-5332	199	14	work	work	NOUN
fis-5332	199	15	consists	consist	VERB
fis-5332	199	16	of	of	ADP
fis-5332	199	17	real	real	ADJ
fis-5332	199	18	experimental	experimental	ADJ
fis-5332	199	19	data	datum	NOUN
fis-5332	199	20	,	,	PUNCT
fis-5332	199	21	instead	instead	ADV
fis-5332	199	22	of	of	ADP
fis-5332	199	23	random	random	ADJ
fis-5332	199	24	variables	variable	NOUN
fis-5332	199	25	.	.	PUNCT
fis-5332	200	1	the	the	DET
fis-5332	200	2	physics	physics	NOUN
fis-5332	200	3	loss	loss	NOUN
fis-5332	200	4	physicsl	physicsl	NOUN
fis-5332	200	5	is	be	AUX
fis-5332	200	6	combined	combine	VERB
fis-5332	200	7	with	with	ADP
fis-5332	200	8	the	the	DET
fis-5332	200	9	mmd	mmd	NOUN
fis-5332	200	10	loss	loss	NOUN
fis-5332	200	11	mmdl	mmdl	NOUN
fis-5332	200	12	to	to	PART
fis-5332	200	13	make	make	VERB
fis-5332	200	14	the	the	DET
fis-5332	200	15	generated	generate	VERB
fis-5332	200	16	data	datum	NOUN
fis-5332	200	17	by	by	ADP
fis-5332	200	18	the	the	DET
fis-5332	200	19	generator	generator	NOUN
fis-5332	200	20	closer	close	ADV
fis-5332	200	21	to	to	ADP
fis-5332	200	22	the	the	DET
fis-5332	200	23	real	real	ADJ
fis-5332	200	24	values	value	NOUN
fis-5332	200	25	,	,	PUNCT
fis-5332	200	26	adhering	adhere	VERB
fis-5332	200	27	to	to	ADP
fis-5332	200	28	the	the	DET
fis-5332	200	29	physical	physical	ADJ
fis-5332	200	30	principles	principle	NOUN
fis-5332	200	31	governing	govern	VERB
fis-5332	200	32	fatigue	fatigue	NOUN
fis-5332	200	33	data	datum	NOUN
fis-5332	200	34	under	under	ADP
fis-5332	200	35	variable	variable	ADJ
fis-5332	200	36	amplitude	amplitude	NOUN
fis-5332	200	37	loading	loading	NOUN
fis-5332	200	38	during	during	ADP
fis-5332	200	39	training	training	NOUN
fis-5332	200	40	phase	phase	NOUN
fis-5332	200	41	.	.	PUNCT
fis-5332	201	1	fatigue	fatigue	NOUN
fis-5332	201	2	data	datum	NOUN
fis-5332	201	3	exhibits	exhibit	VERB
fis-5332	201	4	high	high	ADJ
fis-5332	201	5	discreteness	discreteness	PROPN
fis-5332	201	6	.	.	PROPN
fis-5332	201	7	ctgan	ctgan	PROPN
fis-5332	201	8	's	's	PART
fis-5332	201	9	initial	initial	ADJ
fis-5332	201	10	discrete	discrete	ADJ
fis-5332	201	11	column	column	NOUN
fis-5332	201	12	loss	loss	NOUN
fis-5332	201	13	discretel	discretel	NOUN
fis-5332	201	14	guarantees	guarantee	VERB
fis-5332	201	15	that	that	SCONJ
fis-5332	201	16	the	the	DET
fis-5332	201	17	synthesized	synthesize	VERB
fis-5332	201	18	fatigue	fatigue	NOUN
fis-5332	201	19	data	datum	NOUN
fis-5332	201	20	corresponds	correspond	VERB
fis-5332	201	21	to	to	ADP
fis-5332	201	22	the	the	DET
fis-5332	201	23	real	real	ADJ
fis-5332	201	24	data	datum	NOUN
fis-5332	201	25	distribution	distribution	NOUN
fis-5332	201	26	under	under	ADP
fis-5332	201	27	specified	specified	ADJ
fis-5332	201	28	conditions	condition	NOUN
fis-5332	201	29	,	,	PUNCT
fis-5332	201	30	enhancing	enhance	VERB
fis-5332	201	31	the	the	DET
fis-5332	201	32	generator	generator	NOUN
fis-5332	201	33	network	network	NOUN
fis-5332	201	34	's	's	PART
fis-5332	201	35	efficiency	efficiency	NOUN
fis-5332	201	36	and	and	CCONJ
fis-5332	201	37	elevating	elevate	VERB
fis-5332	201	38	the	the	DET
fis-5332	201	39	quality	quality	NOUN
fis-5332	201	40	of	of	ADP
fis-5332	201	41	the	the	DET
fis-5332	201	42	generated	generate	VERB
fis-5332	201	43	fatigue	fatigue	NOUN
fis-5332	201	44	data	datum	NOUN
fis-5332	201	45	.	.	PUNCT
fis-5332	202	1	fatigue	fatigue	NOUN
fis-5332	202	2	life	life	NOUN
fis-5332	202	3	prediction	prediction	NOUN
fis-5332	202	4	model	model	NOUN
fis-5332	202	5	based	base	VERB
fis-5332	202	6	on	on	ADP
fis-5332	202	7	machine	machine	NOUN
fis-5332	202	8	learning	learning	NOUN
fis-5332	202	9	models	model	NOUN
fis-5332	202	10	a	a	DET
fis-5332	202	11	fatigue	fatigue	NOUN
fis-5332	202	12	data	data	NOUN
fis-5332	202	13	augmentation	augmentation	NOUN
fis-5332	202	14	model	model	NOUN
fis-5332	202	15	for	for	ADP
fis-5332	202	16	welded	weld	VERB
fis-5332	202	17	structures	structure	NOUN
fis-5332	202	18	fused	fuse	VERB
fis-5332	202	19	with	with	ADP
fis-5332	202	20	physical	physical	ADJ
fis-5332	202	21	mechanism	mechanism	NOUN
fis-5332	202	22	is	be	AUX
fis-5332	202	23	developed	develop	VERB
fis-5332	202	24	to	to	PART
fis-5332	202	25	target	target	VERB
fis-5332	202	26	the	the	DET
fis-5332	202	27	problem	problem	NOUN
fis-5332	202	28	of	of	ADP
fis-5332	202	29	less	less	ADJ
fis-5332	202	30	fatigue	fatigue	NOUN
fis-5332	202	31	data	datum	NOUN
fis-5332	202	32	in	in	ADP
fis-5332	202	33	machine	machine	NOUN
fis-5332	202	34	learning	learning	NOUN
fis-5332	202	35	models	model	NOUN
fis-5332	202	36	under	under	ADP
fis-5332	202	37	two	two	NUM
fis-5332	202	38	-	-	PUNCT
fis-5332	202	39	step	step	NOUN
fis-5332	202	40	loading	loading	NOUN
fis-5332	202	41	.	.	PUNCT
fis-5332	203	1	the	the	DET
fis-5332	203	2	proposed	propose	VERB
fis-5332	203	3	model	model	NOUN
fis-5332	203	4	's	's	PART
fis-5332	203	5	overall	overall	ADJ
fis-5332	203	6	architecture	architecture	NOUN
fis-5332	203	7	is	be	AUX
fis-5332	203	8	illustrated	illustrate	VERB
fis-5332	203	9	in	in	ADP
fis-5332	203	10	fig	fig	NOUN
fis-5332	203	11	.	.	PUNCT
fis-5332	204	1	2	2	X
fis-5332	204	2	.	.	X
fis-5332	204	3	this	this	DET
fis-5332	204	4	model	model	NOUN
fis-5332	204	5	generates	generate	VERB
fis-5332	204	6	data	datum	NOUN
fis-5332	204	7	that	that	PRON
fis-5332	204	8	reflects	reflect	VERB
fis-5332	204	9	fatigue	fatigue	NOUN
fis-5332	204	10	behavior	behavior	NOUN
fis-5332	204	11	under	under	ADP
fis-5332	204	12	variable	variable	ADJ
fis-5332	204	13	amplitude	amplitude	NOUN
fis-5332	204	14	loading	loading	NOUN
fis-5332	204	15	,	,	PUNCT
fis-5332	204	16	making	make	VERB
fis-5332	204	17	the	the	DET
fis-5332	204	18	generated	generate	VERB
fis-5332	204	19	fatigue	fatigue	NOUN
fis-5332	204	20	data	datum	NOUN
fis-5332	204	21	consistent	consistent	ADJ
fis-5332	204	22	with	with	ADP
fis-5332	204	23	the	the	DET
fis-5332	204	24	physical	physical	ADJ
fis-5332	204	25	results	result	NOUN
fis-5332	204	26	.	.	PUNCT
fis-5332	205	1	it	it	PRON
fis-5332	205	2	can	can	AUX
fis-5332	205	3	be	be	AUX
fis-5332	205	4	seen	see	VERB
fis-5332	205	5	that	that	SCONJ
fis-5332	205	6	the	the	DET
fis-5332	205	7	overall	overall	ADJ
fis-5332	205	8	experimental	experimental	ADJ
fis-5332	205	9	process	process	NOUN
fis-5332	205	10	is	be	AUX
fis-5332	205	11	divided	divide	VERB
fis-5332	205	12	into	into	ADP
fis-5332	205	13	four	four	NUM
fis-5332	205	14	main	main	ADJ
fis-5332	205	15	parts	part	NOUN
fis-5332	205	16	.	.	PUNCT
fis-5332	206	1	first	first	ADV
fis-5332	206	2	we	we	PRON
fis-5332	206	3	get	get	VERB
fis-5332	206	4	the	the	DET
fis-5332	206	5	fatigue	fatigue	NOUN
fis-5332	206	6	data	datum	NOUN
fis-5332	206	7	.	.	PUNCT
fis-5332	207	1	the	the	DET
fis-5332	207	2	data	datum	NOUN
fis-5332	207	3	attributes	attribute	NOUN
fis-5332	207	4	included	include	VERB
fis-5332	207	5	are	be	AUX
fis-5332	207	6	specifically	specifically	ADV
fis-5332	207	7	shown	show	VERB
fis-5332	207	8	therein	therein	ADV
fis-5332	207	9	.	.	PUNCT
fis-5332	208	1	then	then	ADV
fis-5332	208	2	the	the	DET
fis-5332	208	3	data	data	NOUN
fis-5332	208	4	is	be	AUX
fis-5332	208	5	input	input	VERB
fis-5332	208	6	into	into	ADP
fis-5332	208	7	the	the	DET
fis-5332	208	8	ctgan	ctgan	ADJ
fis-5332	208	9	model	model	NOUN
fis-5332	208	10	.	.	PUNCT
fis-5332	209	1	and	and	CCONJ
fis-5332	209	2	it	it	PRON
fis-5332	209	3	has	have	AUX
fis-5332	209	4	been	be	AUX
fis-5332	209	5	validated	validate	VERB
fis-5332	209	6	effectively	effectively	ADV
fis-5332	209	7	on	on	ADP
fis-5332	209	8	four	four	NUM
fis-5332	209	9	machine	machine	NOUN
fis-5332	209	10	learning	learning	NOUN
fis-5332	209	11	models	model	NOUN
fis-5332	209	12	kelm	kelm	PROPN
fis-5332	209	13	,	,	PUNCT
fis-5332	209	14	svm	svm	PROPN
fis-5332	209	15	,	,	PUNCT
fis-5332	209	16	rf	rf	ADJ
fis-5332	209	17	,	,	PUNCT
fis-5332	209	18	and	and	CCONJ
fis-5332	209	19	back	back	ADJ
fis-5332	209	20	propagation	propagation	NOUN
fis-5332	209	21	(	(	PUNCT
fis-5332	209	22	bp	bp	PROPN
fis-5332	209	23	)	)	PUNCT
fis-5332	209	24	,	,	PUNCT
fis-5332	209	25	respectively	respectively	ADV
fis-5332	209	26	.	.	PUNCT
fis-5332	210	1	finally	finally	ADV
fis-5332	210	2	its	its	PRON
fis-5332	210	3	effect	effect	NOUN
fis-5332	210	4	on	on	ADP
fis-5332	210	5	fatigue	fatigue	NOUN
fis-5332	210	6	prediction	prediction	NOUN
fis-5332	210	7	accuracy	accuracy	NOUN
fis-5332	210	8	is	be	AUX
fis-5332	210	9	evaluated	evaluate	VERB
fis-5332	210	10	by	by	ADP
fis-5332	210	11	two	two	NUM
fis-5332	210	12	indicators	indicator	NOUN
fis-5332	210	13	.	.	PUNCT
fis-5332	211	1	the	the	DET
fis-5332	211	2	specific	specific	ADJ
fis-5332	211	3	steps	step	NOUN
fis-5332	211	4	of	of	ADP
fis-5332	211	5	the	the	DET
fis-5332	211	6	framework	framework	NOUN
fis-5332	211	7	are	be	AUX
fis-5332	211	8	outlined	outline	VERB
fis-5332	211	9	as	as	SCONJ
fis-5332	211	10	follows	follow	VERB
fis-5332	211	11	:	:	PUNCT
fis-5332	211	12	step1	step1	PROPN
fis-5332	211	13	:	:	PUNCT
fis-5332	211	14	gather	gather	VERB
fis-5332	211	15	literature	literature	NOUN
fis-5332	211	16	and	and	CCONJ
fis-5332	211	17	laboratory	laboratory	NOUN
fis-5332	211	18	test	test	NOUN
fis-5332	211	19	data	datum	NOUN
fis-5332	211	20	on	on	ADP
fis-5332	211	21	welded	weld	VERB
fis-5332	211	22	structures	structure	NOUN
fis-5332	211	23	subjected	subject	VERB
fis-5332	211	24	to	to	ADP
fis-5332	211	25	variable	variable	ADJ
fis-5332	211	26	amplitude	amplitude	NOUN
fis-5332	211	27	loading	loading	NOUN
fis-5332	211	28	to	to	PART
fis-5332	211	29	create	create	VERB
fis-5332	211	30	a	a	DET
fis-5332	211	31	fatigue	fatigue	NOUN
fis-5332	211	32	dataset	dataset	VERB
fis-5332	211	33	for	for	ADP
fis-5332	211	34	these	these	DET
fis-5332	211	35	structures	structure	NOUN
fis-5332	211	36	.	.	PUNCT
fis-5332	212	1	the	the	DET
fis-5332	212	2	attributes	attribute	NOUN
fis-5332	212	3	of	of	ADP
fis-5332	212	4	the	the	DET
fis-5332	212	5	fatigue	fatigue	NOUN
fis-5332	212	6	dataset	dataset	NOUN
fis-5332	212	7	are	be	AUX
fis-5332	212	8	:	:	PUNCT
fis-5332	212	9	σ1	σ1	PROPN
fis-5332	212	10	and	and	CCONJ
fis-5332	212	11	σ	σ	PROPN
fis-5332	212	12	2	2	NUM
fis-5332	212	13	are	be	AUX
fis-5332	212	14	the	the	DET
fis-5332	212	15	first	first	ADJ
fis-5332	212	16	and	and	CCONJ
fis-5332	212	17	second	second	ADJ
fis-5332	212	18	stress	stress	NOUN
fis-5332	212	19	levels	level	NOUN
fis-5332	212	20	,	,	PUNCT
fis-5332	212	21	x.	x.	PROPN
fis-5332	212	22	cao	cao	PROPN
fis-5332	212	23	et	et	PROPN
fis-5332	212	24	alii	alii	PROPN
fis-5332	212	25	,	,	PUNCT
fis-5332	212	26	frattura	frattura	PROPN
fis-5332	212	27	ed	ed	PROPN
fis-5332	212	28	integrità	integrità	PROPN
fis-5332	212	29	strutturale	strutturale	PROPN
fis-5332	212	30	,	,	PUNCT
fis-5332	212	31	72	72	NUM
fis-5332	212	32	(	(	PUNCT
fis-5332	212	33	2025	2025	NUM
fis-5332	212	34	)	)	PUNCT
fis-5332	212	35	162	162	NUM
fis-5332	212	36	-	-	SYM
fis-5332	212	37	178	178	NUM
fis-5332	212	38	;	;	PUNCT
fis-5332	212	39	doi	doi	NOUN
fis-5332	212	40	:	:	PUNCT
fis-5332	212	41	10.3221	10.3221	NUM
fis-5332	212	42	/	/	SYM
fis-5332	212	43	igf	igf	PROPN
fis-5332	212	44	-	-	PUNCT
fis-5332	212	45	esis.72.12	esis.72.12	PROPN
fis-5332	212	46	169	169	NUM
fis-5332	212	47	respectively	respectively	ADV
fis-5332	212	48	,	,	PUNCT
fis-5332	212	49	fn	fn	NOUN
fis-5332	212	50	1	1	NUM
fis-5332	212	51	and	and	CCONJ
fis-5332	212	52	fn	fn	PROPN
fis-5332	212	53	2	2	NUM
fis-5332	212	54	are	be	AUX
fis-5332	212	55	the	the	DET
fis-5332	212	56	fatigue	fatigue	NOUN
fis-5332	212	57	life	life	NOUN
fis-5332	212	58	at	at	ADP
fis-5332	212	59	the	the	DET
fis-5332	212	60	first	first	ADJ
fis-5332	212	61	and	and	CCONJ
fis-5332	212	62	second	second	ADJ
fis-5332	212	63	stress	stress	NOUN
fis-5332	212	64	levels	level	NOUN
fis-5332	212	65	,	,	PUNCT
fis-5332	212	66	respectively	respectively	ADV
fis-5332	212	67	,	,	PUNCT
fis-5332	212	68	n1	n1	PROPN
fis-5332	212	69	is	be	AUX
fis-5332	212	70	the	the	DET
fis-5332	212	71	number	number	NOUN
fis-5332	212	72	of	of	ADP
fis-5332	212	73	cycles	cycle	NOUN
fis-5332	212	74	under	under	ADP
fis-5332	212	75	σ1	σ1	PROPN
fis-5332	212	76	,	,	PUNCT
fis-5332	212	77	and	and	CCONJ
fis-5332	212	78	pn2	pn2	NOUN
fis-5332	212	79	is	be	AUX
fis-5332	212	80	the	the	DET
fis-5332	212	81	number	number	NOUN
fis-5332	212	82	of	of	ADP
fis-5332	212	83	cycles	cycle	NOUN
fis-5332	212	84	under	under	ADP
fis-5332	212	85	σ	σ	PROPN
fis-5332	212	86	2	2	NUM
fis-5332	212	87	,	,	PUNCT
fis-5332	212	88	namely	namely	ADV
fis-5332	212	89	,	,	PUNCT
fis-5332	212	90	the	the	DET
fis-5332	212	91	residual	residual	ADJ
fis-5332	212	92	fatigue	fatigue	NOUN
fis-5332	212	93	life	life	NOUN
fis-5332	212	94	.	.	PUNCT
fis-5332	213	1	figure	figure	VERB
fis-5332	213	2	2	2	NUM
fis-5332	213	3	:	:	PUNCT
fis-5332	213	4	the	the	DET
fis-5332	213	5	whole	whole	ADJ
fis-5332	213	6	experimental	experimental	ADJ
fis-5332	213	7	framework	framework	NOUN
fis-5332	213	8	for	for	ADP
fis-5332	213	9	fatigue	fatigue	NOUN
fis-5332	213	10	life	life	NOUN
fis-5332	213	11	prediction	prediction	NOUN
fis-5332	213	12	of	of	ADP
fis-5332	213	13	welded	weld	VERB
fis-5332	213	14	structures	structure	NOUN
fis-5332	213	15	under	under	ADP
fis-5332	213	16	two	two	NUM
fis-5332	213	17	-	-	PUNCT
fis-5332	213	18	step	step	NOUN
fis-5332	213	19	loading	loading	NOUN
fis-5332	213	20	based	base	VERB
fis-5332	213	21	on	on	ADP
fis-5332	213	22	physicsinformed	physicsinforme	VERB
fis-5332	213	23	ctgan	ctgan	NOUN
fis-5332	213	24	.	.	PUNCT
fis-5332	214	1	step2	step2	PROPN
fis-5332	214	2	:	:	PUNCT
fis-5332	214	3	the	the	DET
fis-5332	214	4	ctgan	ctgan	ADJ
fis-5332	214	5	model	model	NOUN
fis-5332	214	6	was	be	AUX
fis-5332	214	7	used	use	VERB
fis-5332	214	8	to	to	ADP
fis-5332	214	9	data	datum	NOUN
fis-5332	214	10	augmentation	augmentation	NOUN
fis-5332	214	11	based	base	VERB
fis-5332	214	12	on	on	ADP
fis-5332	214	13	the	the	DET
fis-5332	214	14	original	original	ADJ
fis-5332	214	15	welded	weld	VERB
fis-5332	214	16	structure	structure	NOUN
fis-5332	214	17	fatigue	fatigue	NOUN
fis-5332	214	18	dataset	dataset	NOUN
fis-5332	214	19	that	that	PRON
fis-5332	214	20	has	have	AUX
fis-5332	214	21	been	be	AUX
fis-5332	214	22	built	build	VERB
fis-5332	214	23	.	.	PUNCT
fis-5332	215	1	the	the	DET
fis-5332	215	2	fatigue	fatigue	NOUN
fis-5332	215	3	attributes	attribute	VERB
fis-5332	215	4	σ1	σ1	PROPN
fis-5332	215	5	,	,	PUNCT
fis-5332	215	6	σ	σ	PROPN
fis-5332	215	7	2	2	NUM
fis-5332	215	8	,	,	PUNCT
fis-5332	215	9	n1	n1	PROPN
fis-5332	215	10	,	,	PUNCT
fis-5332	215	11	fn	fn	NOUN
fis-5332	215	12	1	1	NUM
fis-5332	215	13	,	,	PUNCT
fis-5332	215	14	fn	fn	NOUN
fis-5332	215	15	2	2	NUM
fis-5332	215	16	,	,	PUNCT
fis-5332	215	17	pn2	pn2	PROPN
fis-5332	215	18	are	be	AUX
fis-5332	215	19	input	input	VERB
fis-5332	215	20	into	into	ADP
fis-5332	215	21	the	the	DET
fis-5332	215	22	ctgan	ctgan	ADJ
fis-5332	215	23	model	model	NOUN
fis-5332	215	24	.	.	PUNCT
fis-5332	216	1	the	the	DET
fis-5332	216	2	trained	train	VERB
fis-5332	216	3	model	model	NOUN
fis-5332	216	4	finally	finally	ADV
fis-5332	216	5	obtains	obtain	VERB
fis-5332	216	6	fatigue	fatigue	NOUN
fis-5332	216	7	data	datum	NOUN
fis-5332	216	8	with	with	ADP
fis-5332	216	9	outputs	output	NOUN
fis-5332	216	10	σ	σ	PROPN
fis-5332	216	11	m1	m1	PROPN
fis-5332	216	12	,	,	PUNCT
fis-5332	216	13	σ	σ	PROPN
fis-5332	216	14	m2	m2	PROPN
fis-5332	216	15	,	,	PUNCT
fis-5332	216	16	mn1	mn1	PROPN
fis-5332	216	17	,	,	PUNCT
fis-5332	216	18	mn2	mn2	VERB
fis-5332	216	19	.	.	PUNCT
fis-5332	217	1	where	where	SCONJ
fis-5332	217	2	σ	σ	X
fis-5332	217	3	m1	m1	PROPN
fis-5332	217	4	and	and	CCONJ
fis-5332	217	5	σ	σ	PROPN
fis-5332	217	6	m2	m2	PROPN
fis-5332	217	7	are	be	AUX
fis-5332	217	8	the	the	DET
fis-5332	217	9	generated	generate	VERB
fis-5332	217	10	first	first	ADJ
fis-5332	217	11	and	and	CCONJ
fis-5332	217	12	second	second	ADJ
fis-5332	217	13	stress	stress	NOUN
fis-5332	217	14	levels	level	NOUN
fis-5332	217	15	,	,	PUNCT
fis-5332	217	16	respectively	respectively	ADV
fis-5332	217	17	,	,	PUNCT
fis-5332	217	18	mn1	mn1	PROPN
fis-5332	217	19	is	be	AUX
fis-5332	217	20	the	the	DET
fis-5332	217	21	generated	generate	VERB
fis-5332	217	22	number	number	NOUN
fis-5332	217	23	of	of	ADP
fis-5332	217	24	cycles	cycle	NOUN
fis-5332	217	25	under	under	ADP
fis-5332	217	26	σ	σ	PROPN
fis-5332	217	27	m1	m1	PROPN
fis-5332	217	28	,	,	PUNCT
fis-5332	217	29	and	and	CCONJ
fis-5332	217	30	mn2	mn2	VERB
fis-5332	217	31	is	be	AUX
fis-5332	217	32	the	the	DET
fis-5332	217	33	generated	generate	VERB
fis-5332	217	34	number	number	NOUN
fis-5332	217	35	of	of	ADP
fis-5332	217	36	cycles	cycle	NOUN
fis-5332	217	37	under	under	ADP
fis-5332	217	38	σ	σ	PROPN
fis-5332	217	39	m2	m2	PROPN
fis-5332	217	40	.	.	PUNCT
fis-5332	218	1	filtering	filter	VERB
fis-5332	218	2	in	in	ADP
fis-5332	218	3	fatigue	fatigue	NOUN
fis-5332	218	4	data	datum	NOUN
fis-5332	218	5	from	from	ADP
fis-5332	218	6	σ1	σ1	PROPN
fis-5332	218	7	,	,	PUNCT
fis-5332	218	8	σ	σ	PROPN
fis-5332	218	9	2	2	NUM
fis-5332	218	10	,	,	PUNCT
fis-5332	218	11	mn1	mn1	PROPN
fis-5332	218	12	,	,	PUNCT
fis-5332	218	13	fn	fn	NOUN
fis-5332	218	14	1	1	NUM
fis-5332	218	15	,	,	PUNCT
fis-5332	218	16	fn	fn	NOUN
fis-5332	218	17	2	2	NUM
fis-5332	218	18	,	,	PUNCT
fis-5332	218	19	mn2	mn2	VERB
fis-5332	218	20	and	and	CCONJ
fis-5332	218	21	the	the	DET
fis-5332	218	22	data	datum	NOUN
fis-5332	218	23	were	be	AUX
fis-5332	218	24	normalized	normalize	VERB
fis-5332	218	25	.	.	PUNCT
fis-5332	219	1	x.	x.	PROPN
fis-5332	219	2	cao	cao	PROPN
fis-5332	219	3	et	et	PROPN
fis-5332	219	4	alii	alii	PROPN
fis-5332	219	5	,	,	PUNCT
fis-5332	219	6	frattura	frattura	PROPN
fis-5332	219	7	ed	ed	PROPN
fis-5332	219	8	integrità	integrità	PROPN
fis-5332	219	9	strutturale	strutturale	PROPN
fis-5332	219	10	,	,	PUNCT
fis-5332	219	11	72	72	NUM
fis-5332	219	12	(	(	PUNCT
fis-5332	219	13	2025	2025	NUM
fis-5332	219	14	)	)	PUNCT
fis-5332	219	15	162	162	NUM
fis-5332	219	16	-	-	SYM
fis-5332	219	17	178	178	NUM
fis-5332	219	18	;	;	PUNCT
fis-5332	219	19	doi	doi	NOUN
fis-5332	219	20	:	:	PUNCT
fis-5332	219	21	10.3221	10.3221	NUM
fis-5332	219	22	/	/	SYM
fis-5332	219	23	igf	igf	PROPN
fis-5332	219	24	-	-	PUNCT
fis-5332	219	25	esis.72.12	esis.72.12	PROPN
fis-5332	219	26	170	170	NUM
fis-5332	219	27	step3：the	step3：the	DET
fis-5332	219	28	machine	machine	NOUN
fis-5332	219	29	learning	learning	NOUN
fis-5332	219	30	models	model	NOUN
fis-5332	219	31	were	be	AUX
fis-5332	219	32	trained	train	VERB
fis-5332	219	33	using	use	VERB
fis-5332	219	34	the	the	DET
fis-5332	219	35	normalized	normalize	VERB
fis-5332	219	36	data	data	NOUN
fis-5332	219	37	values	value	NOUN
fis-5332	219	38	σ1	σ1	PROPN
fis-5332	219	39	,	,	PUNCT
fis-5332	219	40	σ	σ	PROPN
fis-5332	219	41	2	2	NUM
fis-5332	219	42	,	,	PUNCT
fis-5332	219	43	mn1	mn1	PROPN
fis-5332	219	44	,	,	PUNCT
fis-5332	219	45	fn	fn	NOUN
fis-5332	219	46	1	1	NUM
fis-5332	219	47	,	,	PUNCT
fis-5332	219	48	fn	fn	NOUN
fis-5332	219	49	2	2	NUM
fis-5332	219	50	,	,	PUNCT
fis-5332	219	51	mn2	mn2	VERB
fis-5332	219	52	as	as	ADP
fis-5332	219	53	inputs	input	NOUN
fis-5332	219	54	,	,	PUNCT
fis-5332	219	55	with	with	ADP
fis-5332	219	56	the	the	DET
fis-5332	219	57	normalized	normalize	VERB
fis-5332	219	58	fatigue	fatigue	NOUN
fis-5332	219	59	life	life	NOUN
fis-5332	219	60	mn2	mn2	VERB
fis-5332	219	61	serving	serve	VERB
fis-5332	219	62	as	as	ADP
fis-5332	219	63	the	the	DET
fis-5332	219	64	output	output	NOUN
fis-5332	219	65	.	.	PUNCT
fis-5332	220	1	subsequent	subsequent	ADJ
fis-5332	220	2	training	training	NOUN
fis-5332	220	3	sessions	session	NOUN
fis-5332	220	4	were	be	AUX
fis-5332	220	5	then	then	ADV
fis-5332	220	6	conducted	conduct	VERB
fis-5332	220	7	for	for	ADP
fis-5332	220	8	these	these	DET
fis-5332	220	9	models	model	NOUN
fis-5332	220	10	.	.	PUNCT
fis-5332	221	1	step4	step4	PROPN
fis-5332	221	2	:	:	PUNCT
fis-5332	221	3	experiments	experiment	NOUN
fis-5332	221	4	were	be	AUX
fis-5332	221	5	conducted	conduct	VERB
fis-5332	221	6	on	on	ADP
fis-5332	221	7	fatigue	fatigue	NOUN
fis-5332	221	8	data	datum	NOUN
fis-5332	221	9	from	from	ADP
fis-5332	221	10	the	the	DET
fis-5332	221	11	test	test	NOUN
fis-5332	221	12	set	set	VERB
fis-5332	221	13	using	use	VERB
fis-5332	221	14	machine	machine	NOUN
fis-5332	221	15	learning	learning	NOUN
fis-5332	221	16	models	model	NOUN
fis-5332	221	17	obtained	obtain	VERB
fis-5332	221	18	after	after	ADP
fis-5332	221	19	data	datum	NOUN
fis-5332	221	20	augmentation	augmentation	NOUN
fis-5332	221	21	and	and	CCONJ
fis-5332	221	22	original	original	ADJ
fis-5332	221	23	data	datum	NOUN
fis-5332	221	24	training	training	NOUN
fis-5332	221	25	,	,	PUNCT
fis-5332	221	26	respectively	respectively	ADV
fis-5332	221	27	.	.	PUNCT
fis-5332	222	1	the	the	DET
fis-5332	222	2	work	work	NOUN
fis-5332	222	3	examined	examine	VERB
fis-5332	222	4	how	how	SCONJ
fis-5332	222	5	the	the	DET
fis-5332	222	6	generated	generate	VERB
fis-5332	222	7	samples	sample	NOUN
fis-5332	222	8	influenced	influence	VERB
fis-5332	222	9	the	the	DET
fis-5332	222	10	predictive	predictive	ADJ
fis-5332	222	11	accuracy	accuracy	NOUN
fis-5332	222	12	of	of	ADP
fis-5332	222	13	the	the	DET
fis-5332	222	14	machine	machine	NOUN
fis-5332	222	15	learning	learning	NOUN
fis-5332	222	16	models	model	NOUN
fis-5332	222	17	.	.	PUNCT
fis-5332	223	1	furthermore	furthermore	ADV
fis-5332	223	2	,	,	PUNCT
fis-5332	223	3	the	the	DET
fis-5332	223	4	proposed	propose	VERB
fis-5332	223	5	model	model	NOUN
fis-5332	223	6	's	's	PART
fis-5332	223	7	performance	performance	NOUN
fis-5332	223	8	was	be	AUX
fis-5332	223	9	validated	validate	VERB
fis-5332	223	10	by	by	ADP
fis-5332	223	11	comparing	compare	VERB
fis-5332	223	12	it	it	PRON
fis-5332	223	13	with	with	ADP
fis-5332	223	14	other	other	ADJ
fis-5332	223	15	conventional	conventional	ADJ
fis-5332	223	16	physical	physical	ADJ
fis-5332	223	17	models	model	NOUN
fis-5332	223	18	,	,	PUNCT
fis-5332	223	19	namely	namely	ADV
fis-5332	223	20	the	the	DET
fis-5332	223	21	miner	miner	NOUN
fis-5332	223	22	law	law	NOUN
fis-5332	223	23	,	,	PUNCT
fis-5332	223	24	the	the	DET
fis-5332	223	25	ye	ye	PROPN
fis-5332	223	26	model	model	NOUN
fis-5332	223	27	,	,	PUNCT
fis-5332	223	28	and	and	CCONJ
fis-5332	223	29	its	its	PRON
fis-5332	223	30	improved	improved	ADJ
fis-5332	223	31	model	model	NOUN
fis-5332	223	32	,	,	PUNCT
fis-5332	223	33	the	the	DET
fis-5332	223	34	peng	peng	PROPN
fis-5332	223	35	model	model	NOUN
fis-5332	223	36	.	.	PUNCT
fis-5332	224	1	within	within	ADP
fis-5332	224	2	the	the	DET
fis-5332	224	3	four	four	NUM
fis-5332	224	4	outlined	outline	VERB
fis-5332	224	5	steps	step	NOUN
fis-5332	224	6	,	,	PUNCT
fis-5332	224	7	step	step	NOUN
fis-5332	224	8	2	2	NUM
fis-5332	224	9	encompasses	encompass	VERB
fis-5332	224	10	the	the	DET
fis-5332	224	11	following	follow	VERB
fis-5332	224	12	two	two	NUM
fis-5332	224	13	specific	specific	ADJ
fis-5332	224	14	subprocesses	subprocesse	NOUN
fis-5332	224	15	:	:	PUNCT
fis-5332	224	16	step2.1	step2.1	NUM
fis-5332	224	17	:	:	PUNCT
fis-5332	224	18	fatigue	fatigue	NOUN
fis-5332	224	19	data	datum	NOUN
fis-5332	224	20	at	at	ADP
fis-5332	224	21	the	the	DET
fis-5332	224	22	same	same	ADJ
fis-5332	224	23	stress	stress	NOUN
fis-5332	224	24	level	level	NOUN
fis-5332	224	25	as	as	SCONJ
fis-5332	224	26	the	the	DET
fis-5332	224	27	original	original	ADJ
fis-5332	224	28	dataset	dataset	NOUN
fis-5332	224	29	were	be	AUX
fis-5332	224	30	chosen	choose	VERB
fis-5332	224	31	from	from	ADP
fis-5332	224	32	the	the	DET
fis-5332	224	33	output	output	NOUN
fis-5332	224	34	of	of	ADP
fis-5332	224	35	the	the	DET
fis-5332	224	36	ctgan	ctgan	ADJ
fis-5332	224	37	generation	generation	NOUN
fis-5332	224	38	model	model	NOUN
fis-5332	224	39	that	that	PRON
fis-5332	224	40	is	be	AUX
fis-5332	224	41	when	when	SCONJ
fis-5332	224	42	σ	σ	PROPN
fis-5332	224	43	m1	m1	PROPN
fis-5332	224	44	equals	equal	VERB
fis-5332	224	45	σ1	σ1	PROPN
fis-5332	224	46	and	and	CCONJ
fis-5332	224	47	σ	σ	NUM
fis-5332	224	48	m2	m2	PROPN
fis-5332	224	49	equals	equal	VERB
fis-5332	224	50	σ	σ	PROPN
fis-5332	224	51	2	2	NUM
fis-5332	224	52	.	.	PUNCT
fis-5332	224	53	and	and	CCONJ
fis-5332	224	54	insert	insert	VERB
fis-5332	224	55	the	the	DET
fis-5332	224	56	corresponding	correspond	VERB
fis-5332	224	57	fn	fn	NOUN
fis-5332	224	58	1	1	NUM
fis-5332	224	59	and	and	CCONJ
fis-5332	224	60	fn	fn	NOUN
fis-5332	224	61	2	2	NUM
fis-5332	224	62	in	in	ADP
fis-5332	224	63	the	the	DET
fis-5332	224	64	four	four	NUM
fis-5332	224	65	columns	column	NOUN
fis-5332	224	66	of	of	ADP
fis-5332	224	67	the	the	DET
fis-5332	224	68	output	output	NOUN
fis-5332	224	69	data	datum	NOUN
fis-5332	224	70	which	which	PRON
fis-5332	224	71	are	be	AUX
fis-5332	224	72	the	the	DET
fis-5332	224	73	fatigue	fatigue	NOUN
fis-5332	224	74	life	life	NOUN
fis-5332	224	75	under	under	ADP
fis-5332	224	76	the	the	DET
fis-5332	224	77	first	first	ADJ
fis-5332	224	78	stage	stage	NOUN
fis-5332	224	79	load	load	NOUN
fis-5332	224	80	and	and	CCONJ
fis-5332	224	81	the	the	DET
fis-5332	224	82	second	second	ADJ
fis-5332	224	83	stage	stage	NOUN
fis-5332	224	84	load	load	NOUN
fis-5332	224	85	.	.	PUNCT
fis-5332	225	1	finally	finally	ADV
fis-5332	225	2	,	,	PUNCT
fis-5332	225	3	the	the	DET
fis-5332	225	4	complete	complete	ADJ
fis-5332	225	5	data	datum	NOUN
fis-5332	225	6	from	from	ADP
fis-5332	225	7	σ1	σ1	PROPN
fis-5332	225	8	,	,	PUNCT
fis-5332	225	9	σ	σ	PROPN
fis-5332	225	10	2	2	NUM
fis-5332	225	11	,	,	PUNCT
fis-5332	225	12	mn1	mn1	PROPN
fis-5332	225	13	,	,	PUNCT
fis-5332	225	14	fn	fn	NOUN
fis-5332	225	15	1	1	NUM
fis-5332	225	16	,	,	PUNCT
fis-5332	225	17	fn	fn	NOUN
fis-5332	225	18	2	2	NUM
fis-5332	225	19	,	,	PUNCT
fis-5332	225	20	mn2	mn2	VERB
fis-5332	225	21	is	be	AUX
fis-5332	225	22	obtained	obtain	VERB
fis-5332	225	23	.	.	PUNCT
fis-5332	226	1	step2.2：the	step2.2：the	ADJ
fis-5332	226	2	welded	weld	VERB
fis-5332	226	3	structures	structure	NOUN
fis-5332	226	4	'	'	PART
fis-5332	226	5	fatigue	fatigue	NOUN
fis-5332	226	6	dataset	dataset	NOUN
fis-5332	226	7	was	be	AUX
fis-5332	226	8	split	split	VERB
fis-5332	226	9	into	into	ADP
fis-5332	226	10	training	training	NOUN
fis-5332	226	11	and	and	CCONJ
fis-5332	226	12	test	test	NOUN
fis-5332	226	13	sets	set	NOUN
fis-5332	226	14	.	.	PUNCT
fis-5332	227	1	a	a	DET
fis-5332	227	2	part	part	NOUN
fis-5332	227	3	of	of	ADP
fis-5332	227	4	the	the	DET
fis-5332	227	5	fatigue	fatigue	NOUN
fis-5332	227	6	test	test	NOUN
fis-5332	227	7	data	datum	NOUN
fis-5332	227	8	was	be	AUX
fis-5332	227	9	selected	select	VERB
fis-5332	227	10	as	as	ADP
fis-5332	227	11	the	the	DET
fis-5332	227	12	test	test	NOUN
fis-5332	227	13	set	set	VERB
fis-5332	227	14	and	and	CCONJ
fis-5332	227	15	the	the	DET
fis-5332	227	16	remaining	remain	VERB
fis-5332	227	17	data	datum	NOUN
fis-5332	227	18	was	be	AUX
fis-5332	227	19	used	use	VERB
fis-5332	227	20	as	as	ADP
fis-5332	227	21	the	the	DET
fis-5332	227	22	training	training	NOUN
fis-5332	227	23	set	set	NOUN
fis-5332	227	24	.	.	PUNCT
fis-5332	228	1	following	follow	VERB
fis-5332	228	2	this	this	PRON
fis-5332	228	3	,	,	PUNCT
fis-5332	228	4	the	the	DET
fis-5332	228	5	validated	validate	VERB
fis-5332	228	6	augmented	augment	VERB
fis-5332	228	7	data	datum	NOUN
fis-5332	228	8	was	be	AUX
fis-5332	228	9	combined	combine	VERB
fis-5332	228	10	with	with	ADP
fis-5332	228	11	original	original	ADJ
fis-5332	228	12	training	training	NOUN
fis-5332	228	13	data	datum	NOUN
fis-5332	228	14	to	to	PART
fis-5332	228	15	create	create	VERB
fis-5332	228	16	a	a	DET
fis-5332	228	17	new	new	ADJ
fis-5332	228	18	training	training	NOUN
fis-5332	228	19	sample	sample	NOUN
fis-5332	228	20	set	set	NOUN
fis-5332	228	21	.	.	PUNCT
fis-5332	229	1	the	the	DET
fis-5332	229	2	data	datum	NOUN
fis-5332	229	3	was	be	AUX
fis-5332	229	4	at	at	ADP
fis-5332	229	5	the	the	DET
fis-5332	229	6	same	same	ADJ
fis-5332	229	7	time	time	NOUN
fis-5332	229	8	normalized	normalize	VERB
fis-5332	229	9	and	and	CCONJ
fis-5332	229	10	the	the	DET
fis-5332	229	11	normalization	normalization	NOUN
fis-5332	229	12	was	be	AUX
fis-5332	229	13	calculated	calculate	VERB
fis-5332	229	14	by	by	ADP
fis-5332	229	15	the	the	DET
fis-5332	229	16	formula	formula	NOUN
fis-5332	229	17	:	:	PUNCT
fis-5332	230	1	−	−	PROPN
fis-5332	230	2	=	=	PUNCT
fis-5332	230	3	−new	−new	ADJ
fis-5332	230	4	x	x	X
fis-5332	230	5	x	x	SYM
fis-5332	230	6	x	x	SYM
fis-5332	230	7	x	x	SYM
fis-5332	230	8	x	x	SYM
fis-5332	230	9	max	max	PROPN
fis-5332	230	10	max	max	PROPN
fis-5332	230	11	min	min	PROPN
fis-5332	230	12	(	(	PUNCT
fis-5332	230	13	17	17	NUM
fis-5332	230	14	)	)	PUNCT
fis-5332	230	15	where	where	SCONJ
fis-5332	230	16	x	x	PRON
fis-5332	230	17	denotes	denote	VERB
fis-5332	230	18	the	the	DET
fis-5332	230	19	pre	pre	NOUN
fis-5332	230	20	-	-	ADJ
fis-5332	230	21	normalization	normalization	ADJ
fis-5332	230	22	value	value	NOUN
fis-5332	230	23	of	of	ADP
fis-5332	230	24	the	the	DET
fis-5332	230	25	sample	sample	NOUN
fis-5332	230	26	data	data	PROPN
fis-5332	230	27	,	,	PUNCT
fis-5332	230	28	xmax	xmax	PROPN
fis-5332	230	29	and	and	CCONJ
fis-5332	230	30	xmin	xmin	PROPN
fis-5332	230	31	represent	represent	VERB
fis-5332	230	32	the	the	DET
fis-5332	230	33	maximum	maximum	ADJ
fis-5332	230	34	and	and	CCONJ
fis-5332	230	35	minimum	minimum	ADJ
fis-5332	230	36	values	value	NOUN
fis-5332	230	37	of	of	ADP
fis-5332	230	38	the	the	DET
fis-5332	230	39	fatigue	fatigue	NOUN
fis-5332	230	40	test	test	NOUN
fis-5332	230	41	samples	sample	NOUN
fis-5332	230	42	for	for	ADP
fis-5332	230	43	a	a	DET
fis-5332	230	44	given	give	VERB
fis-5332	230	45	data	data	NOUN
fis-5332	230	46	attribute	attribute	NOUN
fis-5332	230	47	,	,	PUNCT
fis-5332	230	48	respectively	respectively	ADV
fis-5332	230	49	,	,	PUNCT
fis-5332	230	50	and	and	CCONJ
fis-5332	230	51	newx	newx	NOUN
fis-5332	230	52	is	be	AUX
fis-5332	230	53	the	the	DET
fis-5332	230	54	value	value	NOUN
fis-5332	230	55	of	of	ADP
fis-5332	230	56	the	the	DET
fis-5332	230	57	sample	sample	NOUN
fis-5332	230	58	data	datum	NOUN
fis-5332	230	59	after	after	ADP
fis-5332	230	60	normalization	normalization	NOUN
fis-5332	230	61	.	.	PUNCT
fis-5332	231	1	figure3	figure3	NOUN
fis-5332	231	2	:	:	PUNCT
fis-5332	231	3	fatigue	fatigue	NOUN
fis-5332	231	4	sample	sample	NOUN
fis-5332	231	5	data	data	PROPN
fis-5332	231	6	.	.	PUNCT
fis-5332	232	1	experimental	experimental	ADJ
fis-5332	232	2	results	result	NOUN
fis-5332	232	3	and	and	CCONJ
fis-5332	232	4	analysis	analysis	NOUN
fis-5332	232	5	fatigue	fatigue	NOUN
fis-5332	232	6	data	datum	NOUN
fis-5332	232	7	n	n	CCONJ
fis-5332	232	8	this	this	DET
fis-5332	232	9	work	work	NOUN
fis-5332	232	10	,	,	PUNCT
fis-5332	232	11	two	two	NUM
fis-5332	232	12	welded	weld	VERB
fis-5332	232	13	joints	joint	NOUN
fis-5332	232	14	and	and	CCONJ
fis-5332	232	15	three	three	NUM
fis-5332	232	16	welded	weld	VERB
fis-5332	232	17	materials	material	NOUN
fis-5332	232	18	are	be	AUX
fis-5332	232	19	selected	select	VERB
fis-5332	232	20	for	for	ADP
fis-5332	232	21	experiments	experiment	NOUN
fis-5332	232	22	on	on	ADP
fis-5332	232	23	the	the	DET
fis-5332	232	24	proposed	propose	VERB
fis-5332	232	25	framework	framework	NOUN
fis-5332	232	26	,	,	PUNCT
fis-5332	232	27	aluminum	aluminum	NOUN
fis-5332	232	28	alloy	alloy	NOUN
fis-5332	232	29	butt	butt	NOUN
fis-5332	232	30	joint	joint	NOUN
fis-5332	232	31	[	[	X
fis-5332	232	32	20,21	20,21	NUM
fis-5332	232	33	]	]	PUNCT
fis-5332	232	34	and	and	CCONJ
fis-5332	232	35	corner	corner	NOUN
fis-5332	232	36	joint	joint	NOUN
fis-5332	232	37	[	[	X
fis-5332	232	38	20,21	20,21	NUM
fis-5332	232	39	]	]	PUNCT
fis-5332	232	40	,	,	PUNCT
fis-5332	232	41	al-2024	al-2024	NOUN
fis-5332	232	42	-	-	PUNCT
fis-5332	232	43	t42	t42	NOUN
fis-5332	232	44	[	[	X
fis-5332	232	45	22	22	NUM
fis-5332	232	46	]	]	PUNCT
fis-5332	232	47	,	,	PUNCT
fis-5332	232	48	al-7070	al-7070	NOUN
fis-5332	232	49	-	-	PUNCT
fis-5332	232	50	t7451	t7451	NOUN
fis-5332	233	1	[	[	X
fis-5332	233	2	23	23	NUM
fis-5332	233	3	]	]	PUNCT
fis-5332	233	4	,	,	PUNCT
fis-5332	233	5	and	and	CCONJ
fis-5332	233	6	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	234	1	[	[	X
fis-5332	234	2	24	24	NUM
fis-5332	234	3	]	]	PUNCT
fis-5332	234	4	respectively	respectively	ADV
fis-5332	234	5	.	.	PUNCT
fis-5332	235	1	these	these	DET
fis-5332	235	2	welded	weld	VERB
fis-5332	235	3	joints	joint	NOUN
fis-5332	235	4	and	and	CCONJ
fis-5332	235	5	materials	material	NOUN
fis-5332	235	6	are	be	AUX
fis-5332	235	7	widely	widely	ADV
fis-5332	235	8	utilized	utilize	VERB
fis-5332	235	9	in	in	ADP
fis-5332	235	10	aerospace	aerospace	NOUN
fis-5332	235	11	,	,	PUNCT
fis-5332	235	12	marine	marine	ADJ
fis-5332	235	13	,	,	PUNCT
fis-5332	235	14	automotive	automotive	ADJ
fis-5332	235	15	,	,	PUNCT
fis-5332	235	16	and	and	CCONJ
fis-5332	235	17	various	various	ADJ
fis-5332	235	18	other	other	ADJ
fis-5332	235	19	0.0	0.0	NUM
fis-5332	235	20	0.2	0.2	NUM
fis-5332	235	21	0.4	0.4	NUM
fis-5332	235	22	0.6	0.6	NUM
fis-5332	235	23	0.8	0.8	NUM
fis-5332	235	24	1.0	1.0	NUM
fis-5332	235	25	0.0	0.0	NUM
fis-5332	235	26	0.2	0.2	NUM
fis-5332	235	27	0.4	0.4	NUM
fis-5332	235	28	0.6	0.6	NUM
fis-5332	235	29	0.8	0.8	NUM
fis-5332	235	30	1.0	1.0	NUM
fis-5332	235	31	1.2	1.2	NUM
fis-5332	235	32	1.4	1.4	NUM
fis-5332	235	33	butt	butt	NOUN
fis-5332	235	34	joint	joint	ADJ
fis-5332	235	35	corner	corner	NOUN
fis-5332	235	36	joint	joint	ADJ
fis-5332	235	37	al-2024	al-2024	NOUN
fis-5332	235	38	-	-	PUNCT
fis-5332	235	39	t42	t42	NOUN
fis-5332	235	40	al-7070	al-7070	NOUN
fis-5332	235	41	-	-	PUNCT
fis-5332	235	42	t7451	t7451	NUM
fis-5332	235	43	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	235	44	ex	ex	PUNCT
fis-5332	236	1	pe	pe	INTJ
fis-5332	236	2	rim	rim	VERB
fis-5332	236	3	en	en	INTJ
fis-5332	236	4	ta	ta	PROPN
fis-5332	236	5	l	l	NOUN
fis-5332	236	6	n	n	CCONJ
fis-5332	236	7	2	2	NUM
fis-5332	236	8	/	/	SYM
fis-5332	236	9	n	n	CCONJ
fis-5332	236	10	f2	f2	ADJ
fis-5332	236	11	experimental	experimental	ADJ
fis-5332	236	12	n1	n1	PROPN
fis-5332	236	13	/	/	SYM
fis-5332	236	14	nf1	nf1	NOUN
fis-5332	237	1	i	i	PRON
fis-5332	237	2	x.	x.	NOUN
fis-5332	237	3	cao	cao	PROPN
fis-5332	237	4	et	et	PROPN
fis-5332	237	5	alii	alii	PROPN
fis-5332	237	6	,	,	PUNCT
fis-5332	237	7	frattura	frattura	PROPN
fis-5332	237	8	ed	ed	PROPN
fis-5332	237	9	integrità	integrità	PROPN
fis-5332	237	10	strutturale	strutturale	PROPN
fis-5332	237	11	,	,	PUNCT
fis-5332	237	12	72	72	NUM
fis-5332	237	13	(	(	PUNCT
fis-5332	237	14	2025	2025	NUM
fis-5332	237	15	)	)	PUNCT
fis-5332	237	16	162	162	NUM
fis-5332	237	17	-	-	SYM
fis-5332	237	18	178	178	NUM
fis-5332	237	19	;	;	PUNCT
fis-5332	237	20	doi	doi	NOUN
fis-5332	237	21	:	:	PUNCT
fis-5332	237	22	10.3221	10.3221	NUM
fis-5332	237	23	/	/	SYM
fis-5332	237	24	igf	igf	PROPN
fis-5332	237	25	-	-	PUNCT
fis-5332	237	26	esis.72.12	esis.72.12	ADJ
fis-5332	237	27	171	171	NUM
fis-5332	237	28	industrial	industrial	ADJ
fis-5332	237	29	sectors	sector	NOUN
fis-5332	237	30	.	.	PUNCT
fis-5332	238	1	all	all	DET
fis-5332	238	2	experimental	experimental	ADJ
fis-5332	238	3	materials	material	NOUN
fis-5332	238	4	were	be	AUX
fis-5332	238	5	tested	test	VERB
fis-5332	238	6	for	for	ADP
fis-5332	238	7	fatigue	fatigue	NOUN
fis-5332	238	8	in	in	ADP
fis-5332	238	9	a	a	DET
fis-5332	238	10	stress	stress	NOUN
fis-5332	238	11	-	-	PUNCT
fis-5332	238	12	controlled	control	VERB
fis-5332	238	13	mode	mode	NOUN
fis-5332	238	14	at	at	ADP
fis-5332	238	15	room	room	NOUN
fis-5332	238	16	temperature	temperature	NOUN
fis-5332	238	17	.	.	PUNCT
fis-5332	239	1	additional	additional	ADJ
fis-5332	239	2	information	information	NOUN
fis-5332	239	3	regarding	regard	VERB
fis-5332	239	4	the	the	DET
fis-5332	239	5	other	other	ADJ
fis-5332	239	6	test	test	NOUN
fis-5332	239	7	data	datum	NOUN
fis-5332	239	8	is	be	AUX
fis-5332	239	9	available	available	ADJ
fis-5332	239	10	in	in	ADP
fis-5332	239	11	the	the	DET
fis-5332	239	12	accompanying	accompanying	ADJ
fis-5332	239	13	references	reference	NOUN
fis-5332	239	14	.	.	PUNCT
fis-5332	240	1	the	the	DET
fis-5332	240	2	distribution	distribution	NOUN
fis-5332	240	3	of	of	ADP
fis-5332	240	4	data	datum	NOUN
fis-5332	240	5	from	from	ADP
fis-5332	240	6	five	five	NUM
fis-5332	240	7	types	type	NOUN
fis-5332	240	8	of	of	ADP
fis-5332	240	9	experimental	experimental	ADJ
fis-5332	240	10	data	datum	NOUN
fis-5332	240	11	is	be	AUX
fis-5332	240	12	represented	represent	VERB
fis-5332	240	13	in	in	ADP
fis-5332	240	14	terms	term	NOUN
fis-5332	240	15	of	of	ADP
fis-5332	240	16	loading	loading	NOUN
fis-5332	240	17	cycle	cycle	NOUN
fis-5332	240	18	ratios	ratio	NOUN
fis-5332	240	19	in	in	ADP
fis-5332	240	20	fig	fig	NOUN
fis-5332	240	21	.	.	PUNCT
fis-5332	241	1	3	3	X
fis-5332	241	2	.	.	X
fis-5332	241	3	parameter	parameter	NOUN
fis-5332	241	4	settings	setting	NOUN
fis-5332	241	5	in	in	ADP
fis-5332	241	6	this	this	DET
fis-5332	241	7	work	work	NOUN
fis-5332	241	8	,	,	PUNCT
fis-5332	241	9	all	all	DET
fis-5332	241	10	experiments	experiment	NOUN
fis-5332	241	11	were	be	AUX
fis-5332	241	12	made	make	VERB
fis-5332	241	13	on	on	ADP
fis-5332	241	14	a	a	DET
fis-5332	241	15	personal	personal	ADJ
fis-5332	241	16	computer	computer	NOUN
fis-5332	241	17	with	with	ADP
fis-5332	241	18	windows	window	NOUN
fis-5332	241	19	10	10	NUM
fis-5332	241	20	(	(	PUNCT
fis-5332	241	21	64bit	64bit	NOUN
fis-5332	241	22	)	)	PUNCT
fis-5332	241	23	operating	operate	VERB
fis-5332	241	24	system	system	NOUN
fis-5332	241	25	,	,	PUNCT
fis-5332	241	26	hardware	hardware	NOUN
fis-5332	241	27	platform	platform	NOUN
fis-5332	241	28	parameters	parameter	NOUN
fis-5332	241	29	of	of	ADP
fis-5332	241	30	intel(r	intel(r	PROPN
fis-5332	241	31	)	)	PUNCT
fis-5332	241	32	core	core	NOUN
fis-5332	241	33	(	(	PUNCT
fis-5332	241	34	tm	tm	NOUN
fis-5332	241	35	)	)	PUNCT
fis-5332	241	36	i5	i5	ADJ
fis-5332	241	37	-	-	PUNCT
fis-5332	241	38	7300hq	7300hq	NOUN
fis-5332	241	39	cpu	cpu	NOUN
fis-5332	241	40	,	,	PUNCT
fis-5332	241	41	2.50ghz	2.50ghz	NUM
fis-5332	241	42	main	main	ADJ
fis-5332	241	43	frequency	frequency	NOUN
fis-5332	241	44	and	and	CCONJ
fis-5332	241	45	16	16	NUM
fis-5332	241	46	g	g	PROPN
fis-5332	241	47	ram	ram	NOUN
fis-5332	241	48	.	.	PUNCT
fis-5332	242	1	the	the	DET
fis-5332	242	2	ctgan	ctgan	ADJ
fis-5332	242	3	model	model	NOUN
fis-5332	242	4	employs	employ	VERB
fis-5332	242	5	the	the	DET
fis-5332	242	6	adam	adam	PROPN
fis-5332	242	7	optimization	optimization	NOUN
fis-5332	242	8	algorithm	algorithm	NOUN
fis-5332	242	9	for	for	ADP
fis-5332	242	10	training	train	VERB
fis-5332	242	11	the	the	DET
fis-5332	242	12	neural	neural	ADJ
fis-5332	242	13	network	network	NOUN
fis-5332	242	14	.	.	PUNCT
fis-5332	243	1	the	the	DET
fis-5332	243	2	discrete	discrete	ADJ
fis-5332	243	3	feature	feature	NOUN
fis-5332	243	4	embedding	embed	VERB
fis-5332	243	5	dimension	dimension	NOUN
fis-5332	243	6	is	be	AUX
fis-5332	243	7	set	set	VERB
fis-5332	243	8	to	to	ADP
fis-5332	243	9	128	128	NUM
fis-5332	243	10	,	,	PUNCT
fis-5332	243	11	while	while	SCONJ
fis-5332	243	12	the	the	DET
fis-5332	243	13	hidden	hide	VERB
fis-5332	243	14	layer	layer	NOUN
fis-5332	243	15	dimensions	dimension	NOUN
fis-5332	243	16	for	for	ADP
fis-5332	243	17	both	both	DET
fis-5332	243	18	the	the	DET
fis-5332	243	19	generator	generator	NOUN
fis-5332	243	20	and	and	CCONJ
fis-5332	243	21	discriminator	discriminator	NOUN
fis-5332	243	22	are	be	AUX
fis-5332	243	23	(	(	PUNCT
fis-5332	243	24	256	256	NUM
fis-5332	243	25	,	,	PUNCT
fis-5332	243	26	256	256	NUM
fis-5332	243	27	)	)	PUNCT
fis-5332	243	28	.	.	PUNCT
fis-5332	244	1	the	the	DET
fis-5332	244	2	learning	learning	NOUN
fis-5332	244	3	rates	rate	NOUN
fis-5332	244	4	for	for	ADP
fis-5332	244	5	the	the	DET
fis-5332	244	6	generator	generator	NOUN
fis-5332	244	7	and	and	CCONJ
fis-5332	244	8	discriminator	discriminator	NOUN
fis-5332	244	9	are	be	AUX
fis-5332	244	10	both	both	PRON
fis-5332	244	11	set	set	VERB
fis-5332	244	12	to	to	ADP
fis-5332	244	13	2e-4	2e-4	PROPN
fis-5332	244	14	,	,	PUNCT
fis-5332	244	15	with	with	ADP
fis-5332	244	16	a	a	DET
fis-5332	244	17	learning	learn	VERB
fis-5332	244	18	rate	rate	NOUN
fis-5332	244	19	decay	decay	NOUN
fis-5332	244	20	of	of	ADP
fis-5332	244	21	1e-6	1e-6	PROPN
fis-5332	244	22	for	for	ADP
fis-5332	244	23	both	both	PRON
fis-5332	244	24	.	.	PUNCT
fis-5332	245	1	the	the	DET
fis-5332	245	2	batch	batch	NOUN
fis-5332	245	3	size	size	NOUN
fis-5332	245	4	during	during	ADP
fis-5332	245	5	training	training	NOUN
fis-5332	245	6	is	be	AUX
fis-5332	245	7	600	600	NUM
fis-5332	245	8	,	,	PUNCT
fis-5332	245	9	and	and	CCONJ
fis-5332	245	10	the	the	DET
fis-5332	245	11	number	number	NOUN
fis-5332	245	12	of	of	ADP
fis-5332	245	13	epochs	epoch	NOUN
fis-5332	245	14	is	be	AUX
fis-5332	245	15	2000	2000	NUM
fis-5332	245	16	.	.	PUNCT
fis-5332	246	1	300	300	NUM
fis-5332	246	2	fatigue	fatigue	NOUN
fis-5332	246	3	data	datum	NOUN
fis-5332	246	4	for	for	ADP
fis-5332	246	5	each	each	DET
fis-5332	246	6	material	material	NOUN
fis-5332	246	7	is	be	AUX
fis-5332	246	8	generated	generate	VERB
fis-5332	246	9	.	.	PUNCT
fis-5332	247	1	the	the	DET
fis-5332	247	2	relevant	relevant	ADJ
fis-5332	247	3	parameters	parameter	NOUN
fis-5332	247	4	of	of	ADP
fis-5332	247	5	the	the	DET
fis-5332	247	6	machine	machine	NOUN
fis-5332	247	7	learning	learning	NOUN
fis-5332	247	8	models	model	NOUN
fis-5332	247	9	are	be	AUX
fis-5332	247	10	presented	present	VERB
fis-5332	247	11	in	in	ADP
fis-5332	247	12	tab	tab	NOUN
fis-5332	247	13	.	.	PUNCT
fis-5332	248	1	2	2	NUM
fis-5332	248	2	:	:	PUNCT
fis-5332	248	3	machine	machine	NOUN
fis-5332	248	4	learning	learning	NOUN
fis-5332	248	5	models	model	VERB
fis-5332	248	6	parameters	parameter	NOUN
fis-5332	248	7	setting	set	VERB
fis-5332	248	8	kelm	kelm	PROPN
fis-5332	248	9	optimal	optimal	ADJ
fis-5332	248	10	regularization	regularization	NOUN
fis-5332	248	11	coefficient	coefficient	NOUN
fis-5332	248	12	c	c	NOUN
fis-5332	248	13	:	:	PUNCT
fis-5332	248	14	20	20	NUM
fis-5332	248	15	,	,	PUNCT
fis-5332	248	16	kernel	kernel	PROPN
fis-5332	248	17	function	function	PROPN
fis-5332	248	18	parameter	parameter	NOUN
fis-5332	248	19	s	s	PART
fis-5332	248	20	:	:	PUNCT
fis-5332	248	21	1	1	NUM
fis-5332	248	22	,	,	PUNCT
fis-5332	248	23	kernel	kernel	PROPN
fis-5332	248	24	function	function	NOUN
fis-5332	248	25	:	:	PUNCT
fis-5332	249	1	rbf	rbf	PROPN
fis-5332	249	2	svm	svm	PROPN
fis-5332	249	3	penalty	penalty	NOUN
fis-5332	249	4	factor	factor	NOUN
fis-5332	249	5	c	c	NOUN
fis-5332	249	6	:	:	PUNCT
fis-5332	249	7	4.0	4.0	NUM
fis-5332	249	8	,	,	PUNCT
fis-5332	249	9	radial	radial	ADJ
fis-5332	249	10	basis	basis	NOUN
fis-5332	249	11	function	function	NOUN
fis-5332	249	12	parameter	parameter	NOUN
fis-5332	249	13	g	g	NOUN
fis-5332	249	14	:	:	PUNCT
fis-5332	249	15	0.8	0.8	NUM
fis-5332	249	16	,	,	PUNCT
fis-5332	249	17	kernel	kernel	PROPN
fis-5332	249	18	function	function	PROPN
fis-5332	249	19	:	:	PUNCT
fis-5332	250	1	rbf	rbf	PROPN
fis-5332	250	2	rf	rf	ADJ
fis-5332	250	3	number	number	NOUN
fis-5332	250	4	of	of	ADP
fis-5332	250	5	decision	decision	NOUN
fis-5332	250	6	trees	tree	NOUN
fis-5332	250	7	t	t	PROPN
fis-5332	250	8	:	:	PUNCT
fis-5332	250	9	100	100	NUM
fis-5332	250	10	,	,	PUNCT
fis-5332	250	11	minimum	minimum	ADJ
fis-5332	250	12	number	number	NOUN
fis-5332	250	13	of	of	ADP
fis-5332	250	14	leaves	leave	NOUN
fis-5332	250	15	l	l	NOUN
fis-5332	250	16	:	:	PUNCT
fis-5332	250	17	5	5	NUM
fis-5332	250	18	bp	bp	PROPN
fis-5332	250	19	learning	learn	VERB
fis-5332	250	20	rate：0.01	rate：0.01	NUM
fis-5332	250	21	,	,	PUNCT
fis-5332	250	22	error	error	NOUN
fis-5332	250	23	threshold	threshold	NOUN
fis-5332	250	24	:	:	PUNCT
fis-5332	250	25	1e-6	1e-6	NUM
fis-5332	250	26	table	table	NOUN
fis-5332	250	27	2	2	NUM
fis-5332	250	28	:	:	PUNCT
fis-5332	250	29	parameter	parameter	NOUN
fis-5332	250	30	setting	setting	NOUN
fis-5332	250	31	of	of	ADP
fis-5332	250	32	machine	machine	NOUN
fis-5332	250	33	learning	learning	NOUN
fis-5332	250	34	models	model	NOUN
fis-5332	250	35	.	.	PUNCT
fis-5332	251	1	in	in	ADP
fis-5332	251	2	this	this	DET
fis-5332	251	3	work	work	NOUN
fis-5332	251	4	,	,	PUNCT
fis-5332	251	5	a	a	DET
fis-5332	251	6	part	part	NOUN
fis-5332	251	7	of	of	ADP
fis-5332	251	8	aluminum	aluminum	NOUN
fis-5332	251	9	butt	butt	NOUN
fis-5332	251	10	and	and	CCONJ
fis-5332	251	11	corner	corner	NOUN
fis-5332	251	12	joints	joint	NOUN
fis-5332	251	13	,	,	PUNCT
fis-5332	251	14	al-2024	al-2024	NOUN
fis-5332	251	15	-	-	PUNCT
fis-5332	251	16	t42	t42	NOUN
fis-5332	251	17	,	,	PUNCT
fis-5332	251	18	al-7075	al-7075	NOUN
fis-5332	251	19	-	-	PUNCT
fis-5332	251	20	t7451	t7451	PROPN
fis-5332	251	21	and	and	CCONJ
fis-5332	251	22	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	251	23	are	be	AUX
fis-5332	251	24	selected	select	VERB
fis-5332	251	25	as	as	ADP
fis-5332	251	26	the	the	DET
fis-5332	251	27	test	test	NOUN
fis-5332	251	28	set	set	VERB
fis-5332	251	29	.	.	PUNCT
fis-5332	252	1	a	a	DET
fis-5332	252	2	part	part	NOUN
fis-5332	252	3	of	of	ADP
fis-5332	252	4	the	the	DET
fis-5332	252	5	data	datum	NOUN
fis-5332	252	6	of	of	ADP
fis-5332	252	7	the	the	DET
fis-5332	252	8	test	test	NOUN
fis-5332	252	9	set	set	NOUN
fis-5332	252	10	is	be	AUX
fis-5332	252	11	shown	show	VERB
fis-5332	252	12	in	in	ADP
fis-5332	252	13	tab	tab	NOUN
fis-5332	252	14	.	.	PUNCT
fis-5332	253	1	3	3	X
fis-5332	253	2	.	.	X
fis-5332	253	3	the	the	DET
fis-5332	253	4	rest	rest	NOUN
fis-5332	253	5	of	of	ADP
fis-5332	253	6	the	the	DET
fis-5332	253	7	data	data	NOUN
fis-5332	253	8	is	be	AUX
fis-5332	253	9	the	the	DET
fis-5332	253	10	original	original	ADJ
fis-5332	253	11	training	training	NOUN
fis-5332	253	12	set	set	NOUN
fis-5332	253	13	.	.	PUNCT
fis-5332	254	1	the	the	DET
fis-5332	254	2	generated	generate	VERB
fis-5332	254	3	fatigue	fatigue	NOUN
fis-5332	254	4	dataset	dataset	NOUN
fis-5332	254	5	is	be	AUX
fis-5332	254	6	then	then	ADV
fis-5332	254	7	integrated	integrate	VERB
fis-5332	254	8	with	with	ADP
fis-5332	254	9	the	the	DET
fis-5332	254	10	original	original	ADJ
fis-5332	254	11	training	training	NOUN
fis-5332	254	12	set	set	VERB
fis-5332	254	13	to	to	PART
fis-5332	254	14	produce	produce	VERB
fis-5332	254	15	the	the	DET
fis-5332	254	16	augmented	augment	VERB
fis-5332	254	17	training	training	NOUN
fis-5332	254	18	set	set	NOUN
fis-5332	254	19	.	.	PUNCT
fis-5332	255	1	materials	material	NOUN
fis-5332	255	2	σ	σ	PROPN
fis-5332	255	3	mpa1	mpa1	PROPN
fis-5332	255	4	/	/	SYM
fis-5332	255	5	σ	σ	PROPN
fis-5332	255	6	mpa2	mpa2	PROPN
fis-5332	255	7	/	/	SYM
fis-5332	255	8	n	n	CCONJ
fis-5332	255	9	cycles1	cycles1	NOUN
fis-5332	255	10	/	/	SYM
fis-5332	255	11	fn	fn	PROPN
fis-5332	255	12	cycles1	cycles1	NOUN
fis-5332	255	13	/	/	SYM
fis-5332	256	1	fn	fn	NOUN
fis-5332	256	2	cycles2	cycles2	NOUN
fis-5332	256	3	/	/	SYM
fis-5332	256	4	n	n	CCONJ
fis-5332	256	5	cycles2	cycles2	NOUN
fis-5332	256	6	/	/	SYM
fis-5332	256	7	butt	butt	NOUN
fis-5332	256	8	joint	joint	NOUN
fis-5332	256	9	104	104	NUM
fis-5332	256	10	74	74	NUM
fis-5332	256	11	109900	109900	NUM
fis-5332	256	12	549300	549300	NUM
fis-5332	256	13	1540100	1540100	NUM
fis-5332	256	14	795800	795800	NUM
fis-5332	256	15	butt	butt	NOUN
fis-5332	256	16	joint	joint	ADJ
fis-5332	256	17	74	74	NUM
fis-5332	256	18	89	89	NUM
fis-5332	256	19	770100	770100	NUM
fis-5332	256	20	1540100	1540100	NUM
fis-5332	256	21	880500	880500	NUM
fis-5332	256	22	581400	581400	NUM
fis-5332	256	23	corner	corner	NOUN
fis-5332	256	24	joint	joint	VERB
fis-5332	256	25	93	93	NUM
fis-5332	256	26	73	73	NUM
fis-5332	256	27	309900	309900	NUM
fis-5332	256	28	619800	619800	NUM
fis-5332	256	29	1546100	1546100	NUM
fis-5332	256	30	386120	386120	NUM
fis-5332	256	31	corner	corner	NOUN
fis-5332	256	32	joint	joint	NOUN
fis-5332	256	33	73	73	NUM
fis-5332	256	34	83	83	NUM
fis-5332	256	35	509200	509200	NUM
fis-5332	256	36	1546100	1546100	NUM
fis-5332	256	37	952300	952300	NUM
fis-5332	256	38	708200	708200	NUM
fis-5332	256	39	al-2024	al-2024	NOUN
fis-5332	256	40	-	-	PUNCT
fis-5332	256	41	t42	t42	NOUN
fis-5332	256	42	200	200	NUM
fis-5332	256	43	150	150	NUM
fis-5332	256	44	30000	30000	NUM
fis-5332	256	45	150000	150000	NUM
fis-5332	256	46	430000	430000	NUM
fis-5332	256	47	233400	233400	NUM
fis-5332	256	48	al-2024	al-2024	NOUN
fis-5332	256	49	-	-	PUNCT
fis-5332	256	50	t42	t42	NOUN
fis-5332	256	51	150	150	NUM
fis-5332	256	52	200	200	NUM
fis-5332	256	53	258000	258000	NUM
fis-5332	256	54	430000	430000	NUM
fis-5332	256	55	150000	150000	NUM
fis-5332	256	56	89000	89000	NUM
fis-5332	256	57	al-7070	al-7070	NOUN
fis-5332	256	58	-	-	PUNCT
fis-5332	256	59	t7451	t7451	PROPN
fis-5332	256	60	176	176	NUM
fis-5332	257	1	133	133	NUM
fis-5332	257	2	2000	2000	NUM
fis-5332	257	3	27300	27300	NUM
fis-5332	257	4	61400	61400	NUM
fis-5332	257	5	47400	47400	NUM
fis-5332	257	6	al-7070	al-7070	NOUN
fis-5332	257	7	-	-	PUNCT
fis-5332	257	8	t7451	t7451	PROPN
fis-5332	257	9	176	176	NUM
fis-5332	257	10	85	85	NUM
fis-5332	257	11	2000	2000	NUM
fis-5332	257	12	27300	27300	NUM
fis-5332	257	13	225800	225800	NUM
fis-5332	257	14	27100	27100	NUM
fis-5332	257	15	al-7070	al-7070	NOUN
fis-5332	257	16	-	-	PUNCT
fis-5332	257	17	t7451	t7451	PROPN
fis-5332	257	18	133	133	NUM
fis-5332	257	19	85	85	NUM
fis-5332	257	20	5000	5000	NUM
fis-5332	257	21	61400	61400	NUM
fis-5332	257	22	225800	225800	NUM
fis-5332	257	23	198600	198600	NUM
fis-5332	257	24	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	257	25	647	647	NUM
fis-5332	257	26	517	517	NUM
fis-5332	257	27	18000	18000	NUM
fis-5332	257	28	37200	37200	NUM
fis-5332	257	29	143633	143633	NUM
fis-5332	257	30	35700	35700	NUM
fis-5332	257	31	ti-6al-4v	ti-6al-4v	NOUN
fis-5332	257	32	595	595	NUM
fis-5332	257	33	517	517	NUM
fis-5332	257	34	40000	40000	NUM
fis-5332	257	35	64467	64467	NUM
fis-5332	257	36	143633	143633	NUM
fis-5332	257	37	22300	22300	NUM
fis-5332	257	38	ti-6al-4v	ti-6al-4v	NOUN
fis-5332	257	39	517	517	NUM
fis-5332	257	40	595	595	NUM
fis-5332	257	41	30000	30000	NUM
fis-5332	257	42	143633	143633	NUM
fis-5332	257	43	64467	64467	NUM
fis-5332	257	44	63800	63800	NUM
fis-5332	257	45	table	table	NOUN
fis-5332	257	46	3	3	NUM
fis-5332	257	47	:	:	PUNCT
fis-5332	257	48	a	a	DET
fis-5332	257	49	part	part	NOUN
fis-5332	257	50	of	of	ADP
fis-5332	257	51	the	the	DET
fis-5332	257	52	test	test	NOUN
fis-5332	257	53	set	set	VERB
fis-5332	257	54	.	.	PUNCT
fis-5332	258	1	accuracy	accuracy	NOUN
fis-5332	258	2	evaluation	evaluation	NOUN
fis-5332	258	3	the	the	DET
fis-5332	258	4	evaluation	evaluation	NOUN
fis-5332	258	5	indicators	indicator	NOUN
fis-5332	258	6	in	in	ADP
fis-5332	258	7	this	this	DET
fis-5332	258	8	work	work	NOUN
fis-5332	258	9	are	be	AUX
fis-5332	258	10	absolute	absolute	ADJ
fis-5332	258	11	percentage	percentage	NOUN
fis-5332	258	12	error	error	NOUN
fis-5332	258	13	error	error	NOUN
fis-5332	258	14	and	and	CCONJ
fis-5332	258	15	mean	mean	VERB
fis-5332	258	16	absolute	absolute	ADJ
fis-5332	258	17	percentage	percentage	NOUN
fis-5332	258	18	error	error	NOUN
fis-5332	258	19	me	i	PRON
fis-5332	258	20	to	to	PART
fis-5332	258	21	assess	assess	VERB
fis-5332	258	22	the	the	DET
fis-5332	258	23	performance	performance	NOUN
fis-5332	258	24	of	of	ADP
fis-5332	258	25	the	the	DET
fis-5332	258	26	model	model	NOUN
fis-5332	258	27	.	.	PUNCT
fis-5332	259	1	its	its	PRON
fis-5332	259	2	calculation	calculation	NOUN
fis-5332	259	3	formula	formula	NOUN
fis-5332	259	4	is	be	AUX
fis-5332	259	5	:	:	PUNCT
fis-5332	259	6	−	−	PROPN
fis-5332	260	1	=	=	SYM
fis-5332	260	2	×	×	NOUN
fis-5332	260	3	m	m	NOUN
fis-5332	260	4	f	f	NOUN
fis-5332	260	5	f	f	PROPN
fis-5332	260	6	f	f	PROPN
fis-5332	260	7	n	n	CCONJ
fis-5332	260	8	n	n	CCONJ
fis-5332	260	9	n	n	CCONJ
fis-5332	260	10	n	n	PRON
fis-5332	260	11	error	error	NOUN
fis-5332	260	12	n	n	NOUN
fis-5332	260	13	n	n	NOUN
fis-5332	260	14	2	2	NUM
fis-5332	260	15	2	2	NUM
fis-5332	260	16	2	2	NUM
fis-5332	260	17	2	2	NUM
fis-5332	260	18	2	2	NUM
fis-5332	260	19	2	2	NUM
fis-5332	260	20	100	100	NUM
fis-5332	260	21	%	%	NOUN
fis-5332	260	22	(	(	PUNCT
fis-5332	260	23	18	18	NUM
fis-5332	260	24	)	)	PUNCT
fis-5332	260	25	x.	x.	NOUN
fis-5332	260	26	cao	cao	PROPN
fis-5332	260	27	et	et	PROPN
fis-5332	260	28	alii	alii	PROPN
fis-5332	260	29	,	,	PUNCT
fis-5332	260	30	frattura	frattura	PROPN
fis-5332	260	31	ed	ed	PROPN
fis-5332	260	32	integrità	integrità	PROPN
fis-5332	260	33	strutturale	strutturale	PROPN
fis-5332	260	34	,	,	PUNCT
fis-5332	260	35	72	72	NUM
fis-5332	260	36	(	(	PUNCT
fis-5332	260	37	2025	2025	NUM
fis-5332	260	38	)	)	PUNCT
fis-5332	260	39	162	162	NUM
fis-5332	260	40	-	-	SYM
fis-5332	260	41	178	178	NUM
fis-5332	260	42	;	;	PUNCT
fis-5332	260	43	doi	doi	NOUN
fis-5332	260	44	:	:	PUNCT
fis-5332	260	45	10.3221	10.3221	NUM
fis-5332	260	46	/	/	SYM
fis-5332	260	47	igf	igf	PROPN
fis-5332	260	48	-	-	PUNCT
fis-5332	260	49	esis.72.12	esis.72.12	PROPN
fis-5332	260	50	172	172	NUM
fis-5332	260	51	=	=	PUNCT
fis-5332	260	52	=	=	PUNCT
fis-5332	260	53	∑	∑	PROPN
fis-5332	260	54	m	m	VERB
fis-5332	260	55	m	m	VERB
fis-5332	260	56	me	i	PRON
fis-5332	260	57	error	error	NOUN
fis-5332	260	58	m	m	NOUN
fis-5332	260	59	1	1	NUM
fis-5332	260	60	1	1	NUM
fis-5332	260	61	(	(	PUNCT
fis-5332	260	62	19	19	NUM
fis-5332	260	63	)	)	PUNCT
fis-5332	260	64	where	where	SCONJ
fis-5332	260	65	f	f	PROPN
fis-5332	260	66	n	n	CCONJ
fis-5332	260	67	n	n	CCONJ
fis-5332	260	68	2	2	NUM
fis-5332	260	69	2	2	NUM
fis-5332	260	70	is	be	AUX
fis-5332	260	71	the	the	DET
fis-5332	260	72	experimental	experimental	ADJ
fis-5332	260	73	cycle	cycle	NOUN
fis-5332	260	74	ratio	ratio	NOUN
fis-5332	260	75	under	under	ADP
fis-5332	260	76	stress	stress	NOUN
fis-5332	260	77	σ	σ	PROPN
fis-5332	260	78	2	2	NUM
fis-5332	260	79	,	,	PUNCT
fis-5332	260	80	m	m	PROPN
fis-5332	260	81	f	f	NOUN
fis-5332	260	82	n	n	CCONJ
fis-5332	260	83	n	n	ADV
fis-5332	260	84	2	2	NUM
fis-5332	260	85	2	2	NUM
fis-5332	260	86	is	be	AUX
fis-5332	260	87	the	the	DET
fis-5332	260	88	predicted	predict	VERB
fis-5332	260	89	cycle	cycle	NOUN
fis-5332	260	90	ratio	ratio	NOUN
fis-5332	260	91	under	under	ADP
fis-5332	260	92	stress	stress	NOUN
fis-5332	260	93	σ	σ	PROPN
fis-5332	260	94	2	2	NUM
fis-5332	260	95	,	,	PUNCT
fis-5332	260	96	and	and	CCONJ
fis-5332	260	97	m	m	PROPN
fis-5332	260	98	is	be	AUX
fis-5332	260	99	the	the	DET
fis-5332	260	100	sample	sample	NOUN
fis-5332	260	101	size	size	NOUN
fis-5332	260	102	of	of	ADP
fis-5332	260	103	the	the	DET
fis-5332	260	104	dataset	dataset	NOUN
fis-5332	260	105	.	.	PUNCT
fis-5332	261	1	the	the	PRON
fis-5332	261	2	smaller	small	ADJ
fis-5332	261	3	the	the	DET
fis-5332	261	4	values	value	NOUN
fis-5332	261	5	of	of	ADP
fis-5332	261	6	error	error	NOUN
fis-5332	261	7	and	and	CCONJ
fis-5332	261	8	me	i	PRON
fis-5332	261	9	mean	mean	VERB
fis-5332	261	10	that	that	SCONJ
fis-5332	261	11	the	the	DET
fis-5332	261	12	model	model	NOUN
fis-5332	261	13	performs	perform	VERB
fis-5332	261	14	better	well	ADJ
fis-5332	261	15	.	.	PUNCT
fis-5332	262	1	aluminum	aluminum	NOUN
fis-5332	262	2	alloy	alloy	NOUN
fis-5332	262	3	welded	weld	VERB
fis-5332	262	4	joints	joint	NOUN
fis-5332	262	5	the	the	DET
fis-5332	262	6	experimental	experimental	ADJ
fis-5332	262	7	data	datum	NOUN
fis-5332	262	8	utilized	utilize	VERB
fis-5332	262	9	for	for	ADP
fis-5332	262	10	the	the	DET
fis-5332	262	11	tests	test	NOUN
fis-5332	262	12	comprised	comprise	VERB
fis-5332	262	13	the	the	DET
fis-5332	262	14	fatigue	fatigue	NOUN
fis-5332	262	15	test	test	NOUN
fis-5332	262	16	results	result	NOUN
fis-5332	262	17	of	of	ADP
fis-5332	262	18	welded	weld	VERB
fis-5332	262	19	joints	joint	NOUN
fis-5332	262	20	from	from	ADP
fis-5332	262	21	the	the	DET
fis-5332	262	22	aluminum	aluminum	NOUN
fis-5332	262	23	alloy	alloy	NOUN
fis-5332	262	24	bodies	body	NOUN
fis-5332	262	25	of	of	ADP
fis-5332	262	26	high	high	ADJ
fis-5332	262	27	-	-	PUNCT
fis-5332	262	28	speed	speed	NOUN
fis-5332	262	29	trains	train	NOUN
fis-5332	262	30	in	in	ADP
fis-5332	262	31	papers	paper	NOUN
fis-5332	262	32	[	[	X
fis-5332	262	33	20,21	20,21	NUM
fis-5332	262	34	]	]	PUNCT
fis-5332	262	35	.	.	PUNCT
fis-5332	263	1	the	the	DET
fis-5332	263	2	welded	weld	VERB
fis-5332	263	3	joints	joint	NOUN
fis-5332	263	4	used	use	VERB
fis-5332	263	5	in	in	ADP
fis-5332	263	6	the	the	DET
fis-5332	263	7	test	test	NOUN
fis-5332	263	8	contain	contain	VERB
fis-5332	263	9	two	two	NUM
fis-5332	263	10	types	type	NOUN
fis-5332	263	11	of	of	ADP
fis-5332	263	12	welding	welding	NOUN
fis-5332	263	13	:	:	PUNCT
fis-5332	263	14	butt	butt	NOUN
fis-5332	263	15	joint	joint	ADJ
fis-5332	263	16	and	and	CCONJ
fis-5332	263	17	corner	corner	NOUN
fis-5332	263	18	joint	joint	NOUN
fis-5332	263	19	.	.	PUNCT
fis-5332	264	1	the	the	DET
fis-5332	264	2	samples	sample	NOUN
fis-5332	264	3	'	'	PART
fis-5332	264	4	base	base	NOUN
fis-5332	264	5	material	material	NOUN
fis-5332	264	6	is	be	AUX
fis-5332	264	7	enaw6005	enaw6005	PROPN
fis-5332	264	8	,	,	PUNCT
fis-5332	264	9	an	an	DET
fis-5332	264	10	aluminum	aluminum	NOUN
fis-5332	264	11	alloy	alloy	NOUN
fis-5332	264	12	employed	employ	VERB
fis-5332	264	13	in	in	ADP
fis-5332	264	14	the	the	DET
fis-5332	264	15	construction	construction	NOUN
fis-5332	264	16	of	of	ADP
fis-5332	264	17	crh2	crh2	NOUN
fis-5332	264	18	highspeed	highspeed	PROPN
fis-5332	264	19	train	train	NOUN
fis-5332	264	20	bodies	body	NOUN
fis-5332	264	21	.	.	PUNCT
fis-5332	265	1	based	base	VERB
fis-5332	265	2	on	on	ADP
fis-5332	265	3	fatigue	fatigue	NOUN
fis-5332	265	4	testing	testing	NOUN
fis-5332	265	5	outcomes	outcome	NOUN
fis-5332	265	6	,	,	PUNCT
fis-5332	265	7	the	the	DET
fis-5332	265	8	butt	butt	NOUN
fis-5332	265	9	joint	joint	ADJ
fis-5332	265	10	fatigue	fatigue	NOUN
fis-5332	265	11	life	life	NOUN
fis-5332	265	12	of	of	ADP
fis-5332	265	13	549,300	549,300	NUM
fis-5332	265	14	,	,	PUNCT
fis-5332	265	15	880,500	880,500	NUM
fis-5332	265	16	,	,	PUNCT
fis-5332	265	17	and	and	CCONJ
fis-5332	265	18	1,540,100	1,540,100	NUM
fis-5332	265	19	cycles	cycle	NOUN
fis-5332	265	20	at	at	ADP
fis-5332	265	21	stress	stress	NOUN
fis-5332	265	22	levels	level	NOUN
fis-5332	265	23	of	of	ADP
fis-5332	265	24	104	104	NUM
fis-5332	265	25	,	,	PUNCT
fis-5332	265	26	89	89	NUM
fis-5332	265	27	,	,	PUNCT
fis-5332	265	28	and	and	CCONJ
fis-5332	265	29	74	74	NUM
fis-5332	265	30	mpa	mpa	NOUN
fis-5332	265	31	,	,	PUNCT
fis-5332	265	32	respectively	respectively	ADV
fis-5332	265	33	.	.	PUNCT
fis-5332	266	1	similarly	similarly	ADV
fis-5332	266	2	,	,	PUNCT
fis-5332	266	3	the	the	DET
fis-5332	266	4	corner	corner	NOUN
fis-5332	266	5	joint	joint	NOUN
fis-5332	266	6	's	's	PART
fis-5332	266	7	fatigue	fatigue	NOUN
fis-5332	266	8	life	life	NOUN
fis-5332	266	9	were	be	AUX
fis-5332	266	10	619,800	619,800	NUM
fis-5332	266	11	,	,	PUNCT
fis-5332	266	12	952,300	952,300	NUM
fis-5332	266	13	,	,	PUNCT
fis-5332	266	14	and	and	CCONJ
fis-5332	266	15	1,546,100	1,546,100	NUM
fis-5332	266	16	cycles	cycle	NOUN
fis-5332	266	17	at	at	ADP
fis-5332	266	18	stress	stress	NOUN
fis-5332	266	19	levels	level	NOUN
fis-5332	266	20	of	of	ADP
fis-5332	266	21	93	93	NUM
fis-5332	266	22	,	,	PUNCT
fis-5332	266	23	83	83	NUM
fis-5332	266	24	,	,	PUNCT
fis-5332	266	25	and	and	CCONJ
fis-5332	266	26	73	73	NUM
fis-5332	266	27	mpa	mpa	NOUN
fis-5332	266	28	,	,	PUNCT
fis-5332	266	29	respectively	respectively	ADV
fis-5332	266	30	.	.	PUNCT
fis-5332	267	1	the	the	DET
fis-5332	267	2	error	error	NOUN
fis-5332	267	3	between	between	ADP
fis-5332	267	4	experimental	experimental	ADJ
fis-5332	267	5	and	and	CCONJ
fis-5332	267	6	predicted	predict	VERB
fis-5332	267	7	values	value	NOUN
fis-5332	267	8	for	for	ADP
fis-5332	267	9	butt	butt	NOUN
fis-5332	267	10	joint	joint	ADJ
fis-5332	267	11	and	and	CCONJ
fis-5332	267	12	corner	corner	NOUN
fis-5332	267	13	joint	joint	NOUN
fis-5332	267	14	are	be	AUX
fis-5332	267	15	shown	show	VERB
fis-5332	267	16	in	in	ADP
fis-5332	267	17	fig	fig	NOUN
fis-5332	267	18	4	4	NUM
fis-5332	267	19	and	and	CCONJ
fis-5332	267	20	5	5	NUM
fis-5332	267	21	.	.	PUNCT
fis-5332	267	22	(	(	PUNCT
fis-5332	267	23	a	a	PRON
fis-5332	267	24	)	)	PUNCT
fis-5332	267	25	butt	butt	NOUN
fis-5332	267	26	joint	joint	NOUN
fis-5332	267	27	without	without	ADP
fis-5332	267	28	data	data	NOUN
fis-5332	267	29	augmentation	augmentation	NOUN
fis-5332	267	30	(	(	PUNCT
fis-5332	267	31	b	b	NOUN
fis-5332	267	32	)	)	PUNCT
fis-5332	267	33	butt	butt	NOUN
fis-5332	267	34	joint	joint	ADJ
fis-5332	267	35	with	with	ADP
fis-5332	267	36	data	datum	NOUN
fis-5332	267	37	augmentation	augmentation	NOUN
fis-5332	267	38	figure	figure	NOUN
fis-5332	267	39	4	4	NUM
fis-5332	267	40	:	:	PUNCT
fis-5332	267	41	comparison	comparison	NOUN
fis-5332	267	42	of	of	ADP
fis-5332	267	43	predicted	predict	VERB
fis-5332	267	44	and	and	CCONJ
fis-5332	267	45	experimental	experimental	ADJ
fis-5332	267	46	cycle	cycle	NOUN
fis-5332	267	47	ratios	ratio	NOUN
fis-5332	267	48	for	for	ADP
fis-5332	267	49	aluminum	aluminum	NOUN
fis-5332	267	50	butt	butt	NOUN
fis-5332	267	51	joint	joint	NOUN
fis-5332	267	52	.	.	PUNCT
fis-5332	268	1	(	(	PUNCT
fis-5332	268	2	a	a	X
fis-5332	268	3	)	)	PUNCT
fis-5332	268	4	corner	corner	NOUN
fis-5332	268	5	joint	joint	NOUN
fis-5332	268	6	without	without	ADP
fis-5332	268	7	data	data	NOUN
fis-5332	268	8	augmentation	augmentation	NOUN
fis-5332	268	9	(	(	PUNCT
fis-5332	268	10	b	b	NOUN
fis-5332	268	11	)	)	PUNCT
fis-5332	268	12	corner	corner	NOUN
fis-5332	268	13	joint	joint	NOUN
fis-5332	268	14	with	with	ADP
fis-5332	268	15	data	datum	NOUN
fis-5332	268	16	augmentation	augmentation	NOUN
fis-5332	268	17	figure	figure	NOUN
fis-5332	268	18	5	5	NUM
fis-5332	268	19	:	:	PUNCT
fis-5332	268	20	comparison	comparison	NOUN
fis-5332	268	21	of	of	ADP
fis-5332	268	22	predicted	predict	VERB
fis-5332	268	23	and	and	CCONJ
fis-5332	268	24	experimental	experimental	ADJ
fis-5332	268	25	cycle	cycle	NOUN
fis-5332	268	26	ratios	ratio	NOUN
fis-5332	268	27	for	for	ADP
fis-5332	268	28	aluminum	aluminum	NOUN
fis-5332	268	29	corner	corner	NOUN
fis-5332	268	30	joint	joint	NOUN
fis-5332	268	31	.	.	PUNCT
fis-5332	269	1	x.	x.	PROPN
fis-5332	269	2	cao	cao	PROPN
fis-5332	269	3	et	et	PROPN
fis-5332	269	4	alii	alii	PROPN
fis-5332	269	5	,	,	PUNCT
fis-5332	269	6	frattura	frattura	PROPN
fis-5332	269	7	ed	ed	PROPN
fis-5332	269	8	integrità	integrità	PROPN
fis-5332	269	9	strutturale	strutturale	PROPN
fis-5332	269	10	,	,	PUNCT
fis-5332	269	11	72	72	NUM
fis-5332	269	12	(	(	PUNCT
fis-5332	269	13	2025	2025	NUM
fis-5332	269	14	)	)	PUNCT
fis-5332	269	15	162	162	NUM
fis-5332	269	16	-	-	SYM
fis-5332	269	17	178	178	NUM
fis-5332	269	18	;	;	PUNCT
fis-5332	269	19	doi	doi	NOUN
fis-5332	269	20	:	:	PUNCT
fis-5332	269	21	10.3221	10.3221	NUM
fis-5332	269	22	/	/	SYM
fis-5332	269	23	igf	igf	PROPN
fis-5332	269	24	-	-	PUNCT
fis-5332	269	25	esis.72.12	esis.72.12	PROPN
fis-5332	269	26	173	173	NUM
fis-5332	269	27	as	as	SCONJ
fis-5332	269	28	observed	observe	VERB
fis-5332	269	29	in	in	ADP
fis-5332	269	30	the	the	DET
fis-5332	269	31	predicted	predict	VERB
fis-5332	269	32	results	result	NOUN
fis-5332	269	33	of	of	ADP
fis-5332	269	34	the	the	DET
fis-5332	269	35	welded	weld	VERB
fis-5332	269	36	joints	joint	NOUN
fis-5332	269	37	presented	present	VERB
fis-5332	269	38	in	in	ADP
fis-5332	269	39	figs	fig	NOUN
fis-5332	269	40	.	.	PUNCT
fis-5332	270	1	4	4	NUM
fis-5332	270	2	and	and	CCONJ
fis-5332	270	3	5	5	NUM
fis-5332	270	4	.	.	X
fis-5332	270	5	for	for	ADP
fis-5332	270	6	the	the	DET
fis-5332	270	7	butt	butt	NOUN
fis-5332	270	8	joint	joint	NOUN
fis-5332	270	9	,	,	PUNCT
fis-5332	270	10	most	most	ADJ
fis-5332	270	11	of	of	ADP
fis-5332	270	12	the	the	DET
fis-5332	270	13	four	four	NUM
fis-5332	270	14	machine	machine	NOUN
fis-5332	270	15	learning	learning	NOUN
fis-5332	270	16	models	model	NOUN
fis-5332	270	17	utilizing	utilize	VERB
fis-5332	270	18	data	datum	NOUN
fis-5332	270	19	augmentation	augmentation	NOUN
fis-5332	270	20	predicted	predict	VERB
fis-5332	270	21	points	point	NOUN
fis-5332	270	22	within	within	ADP
fis-5332	270	23	the	the	DET
fis-5332	270	24	10	10	NUM
fis-5332	270	25	%	%	NOUN
fis-5332	270	26	error	error	NOUN
fis-5332	270	27	band	band	NOUN
fis-5332	270	28	,	,	PUNCT
fis-5332	270	29	with	with	ADP
fis-5332	270	30	three	three	NUM
fis-5332	270	31	points	point	NOUN
fis-5332	270	32	nearly	nearly	ADV
fis-5332	270	33	aligning	align	VERB
fis-5332	270	34	with	with	ADP
fis-5332	270	35	the	the	DET
fis-5332	270	36	0	0	NUM
fis-5332	270	37	%	%	NOUN
fis-5332	270	38	error	error	NOUN
fis-5332	270	39	band	band	NOUN
fis-5332	270	40	.	.	PUNCT
fis-5332	271	1	in	in	ADP
fis-5332	271	2	contrast	contrast	NOUN
fis-5332	271	3	,	,	PUNCT
fis-5332	271	4	the	the	DET
fis-5332	271	5	majority	majority	NOUN
fis-5332	271	6	of	of	ADP
fis-5332	271	7	predictions	prediction	NOUN
fis-5332	271	8	made	make	VERB
fis-5332	271	9	by	by	ADP
fis-5332	271	10	the	the	DET
fis-5332	271	11	miner	miner	NOUN
fis-5332	271	12	and	and	CCONJ
fis-5332	271	13	ye	ye	NOUN
fis-5332	271	14	models	model	NOUN
fis-5332	271	15	falls	fall	VERB
fis-5332	271	16	outside	outside	ADP
fis-5332	271	17	the	the	DET
fis-5332	271	18	20	20	NUM
fis-5332	271	19	%	%	NOUN
fis-5332	271	20	error	error	NOUN
fis-5332	271	21	band	band	NOUN
fis-5332	271	22	.	.	PUNCT
fis-5332	272	1	for	for	ADP
fis-5332	272	2	corner	corner	NOUN
fis-5332	272	3	joint	joint	NOUN
fis-5332	272	4	,	,	PUNCT
fis-5332	272	5	four	four	NUM
fis-5332	272	6	machine	machine	NOUN
fis-5332	272	7	learning	learning	NOUN
fis-5332	272	8	models	model	NOUN
fis-5332	272	9	predictions	prediction	NOUN
fis-5332	272	10	with	with	ADP
fis-5332	272	11	data	datum	NOUN
fis-5332	272	12	augmentation	augmentation	NOUN
fis-5332	272	13	are	be	AUX
fis-5332	272	14	comparatively	comparatively	ADV
fis-5332	272	15	closer	close	ADJ
fis-5332	272	16	to	to	ADP
fis-5332	272	17	the	the	DET
fis-5332	272	18	0	0	NUM
fis-5332	272	19	%	%	NOUN
fis-5332	272	20	error	error	NOUN
fis-5332	272	21	band	band	NOUN
fis-5332	272	22	.	.	PUNCT
fis-5332	273	1	the	the	DET
fis-5332	273	2	machine	machine	NOUN
fis-5332	273	3	learning	learning	NOUN
fis-5332	273	4	models	model	NOUN
fis-5332	273	5	exhibited	exhibit	VERB
fis-5332	273	6	more	more	ADV
fis-5332	273	7	consistent	consistent	ADJ
fis-5332	273	8	predictive	predictive	ADJ
fis-5332	273	9	performance	performance	NOUN
fis-5332	273	10	compared	compare	VERB
fis-5332	273	11	to	to	ADP
fis-5332	273	12	traditional	traditional	ADJ
fis-5332	273	13	models	model	NOUN
fis-5332	273	14	,	,	PUNCT
fis-5332	273	15	displaying	display	VERB
fis-5332	273	16	minimal	minimal	ADJ
fis-5332	273	17	variance	variance	NOUN
fis-5332	273	18	in	in	ADP
fis-5332	273	19	their	their	PRON
fis-5332	273	20	results	result	NOUN
fis-5332	273	21	.	.	PUNCT
fis-5332	274	1	aluminum	aluminum	NOUN
fis-5332	274	2	alloy	alloy	NOUN
fis-5332	274	3	materials	material	NOUN
fis-5332	274	4	al-2024	al-2024	NOUN
fis-5332	274	5	-	-	PUNCT
fis-5332	274	6	t42	t42	NOUN
fis-5332	274	7	the	the	DET
fis-5332	274	8	al-2024	al-2024	NOUN
fis-5332	274	9	-	-	PUNCT
fis-5332	274	10	t42	t42	NOUN
fis-5332	274	11	material	material	NOUN
fis-5332	274	12	[	[	X
fis-5332	274	13	22	22	NUM
fis-5332	274	14	]	]	PUNCT
fis-5332	274	15	offers	offer	VERB
fis-5332	274	16	advantages	advantage	NOUN
fis-5332	274	17	such	such	ADJ
fis-5332	274	18	as	as	ADP
fis-5332	274	19	high	high	ADJ
fis-5332	274	20	strength	strength	NOUN
fis-5332	274	21	and	and	CCONJ
fis-5332	274	22	excellent	excellent	ADJ
fis-5332	274	23	temperature	temperature	NOUN
fis-5332	274	24	tolerance	tolerance	NOUN
fis-5332	274	25	.	.	PUNCT
fis-5332	275	1	it	it	PRON
fis-5332	275	2	is	be	AUX
fis-5332	275	3	used	use	VERB
fis-5332	275	4	to	to	PART
fis-5332	275	5	manufacturing	manufacture	VERB
fis-5332	275	6	a	a	DET
fis-5332	275	7	variety	variety	NOUN
fis-5332	275	8	of	of	ADP
fis-5332	275	9	components	component	NOUN
fis-5332	275	10	that	that	PRON
fis-5332	275	11	hold	hold	VERB
fis-5332	275	12	high	high	ADJ
fis-5332	275	13	loads	load	NOUN
fis-5332	275	14	and	and	CCONJ
fis-5332	275	15	is	be	AUX
fis-5332	275	16	mainly	mainly	ADV
fis-5332	275	17	used	use	VERB
fis-5332	275	18	in	in	ADP
fis-5332	275	19	aerospace	aerospace	NOUN
fis-5332	275	20	applications	application	NOUN
fis-5332	275	21	.	.	PUNCT
fis-5332	276	1	fully	fully	ADV
fis-5332	276	2	reversed	reverse	VERB
fis-5332	276	3	fatigue	fatigue	NOUN
fis-5332	276	4	loads	load	NOUN
fis-5332	276	5	of	of	ADP
fis-5332	276	6	different	different	ADJ
fis-5332	276	7	amplitudes	amplitude	NOUN
fis-5332	276	8	were	be	AUX
fis-5332	276	9	applied	apply	VERB
fis-5332	276	10	to	to	ADP
fis-5332	276	11	the	the	DET
fis-5332	276	12	polished	polished	ADJ
fis-5332	276	13	thin	thin	ADJ
fis-5332	276	14	plate	plate	NOUN
fis-5332	276	15	samples	sample	NOUN
fis-5332	276	16	,	,	PUNCT
fis-5332	276	17	setting	set	VERB
fis-5332	276	18	the	the	DET
fis-5332	276	19	experimental	experimental	ADJ
fis-5332	276	20	frequency	frequency	NOUN
fis-5332	276	21	at	at	ADP
fis-5332	276	22	25	25	NUM
fis-5332	276	23	hz	hz	NOUN
fis-5332	276	24	and	and	CCONJ
fis-5332	276	25	the	the	DET
fis-5332	276	26	stress	stress	NOUN
fis-5332	276	27	ratio	ratio	NOUN
fis-5332	276	28	r=-1	r=-1	PROPN
fis-5332	276	29	.	.	PUNCT
fis-5332	277	1	the	the	DET
fis-5332	277	2	results	result	NOUN
fis-5332	277	3	of	of	ADP
fis-5332	277	4	fatigue	fatigue	NOUN
fis-5332	277	5	testing	testing	NOUN
fis-5332	277	6	indicate	indicate	VERB
fis-5332	277	7	that	that	SCONJ
fis-5332	277	8	,	,	PUNCT
fis-5332	277	9	under	under	ADP
fis-5332	277	10	an	an	DET
fis-5332	277	11	applied	apply	VERB
fis-5332	277	12	stress	stress	NOUN
fis-5332	277	13	of	of	ADP
fis-5332	277	14	150	150	NUM
fis-5332	277	15	mpa	mpa	NOUN
fis-5332	277	16	,	,	PUNCT
fis-5332	277	17	al-2024t42	al-2024t42	PROPN
fis-5332	277	18	has	have	VERB
fis-5332	277	19	a	a	DET
fis-5332	277	20	fatigue	fatigue	NOUN
fis-5332	277	21	life	life	NOUN
fis-5332	277	22	of	of	ADP
fis-5332	277	23	430,000	430,000	NUM
fis-5332	277	24	cycles	cycle	NOUN
fis-5332	277	25	,	,	PUNCT
fis-5332	277	26	whereas	whereas	SCONJ
fis-5332	277	27	at	at	ADP
fis-5332	277	28	200	200	NUM
fis-5332	277	29	mpa	mpa	NOUN
fis-5332	277	30	,	,	PUNCT
fis-5332	277	31	its	its	PRON
fis-5332	277	32	fatigue	fatigue	NOUN
fis-5332	277	33	life	life	NOUN
fis-5332	277	34	is	be	AUX
fis-5332	277	35	150,000	150,000	NUM
fis-5332	277	36	cycles	cycle	NOUN
fis-5332	277	37	.	.	PUNCT
fis-5332	278	1	the	the	DET
fis-5332	278	2	error	error	NOUN
fis-5332	278	3	between	between	ADP
fis-5332	278	4	the	the	DET
fis-5332	278	5	experimental	experimental	ADJ
fis-5332	278	6	and	and	CCONJ
fis-5332	278	7	predicted	predict	VERB
fis-5332	278	8	values	value	NOUN
fis-5332	278	9	of	of	ADP
fis-5332	278	10	al-2024	al-2024	NOUN
fis-5332	278	11	-	-	PUNCT
fis-5332	278	12	t42	t42	NOUN
fis-5332	278	13	is	be	AUX
fis-5332	278	14	shown	show	VERB
fis-5332	278	15	in	in	ADP
fis-5332	278	16	fig	fig	NOUN
fis-5332	278	17	6	6	NUM
fis-5332	278	18	.	.	PUNCT
fis-5332	279	1	(	(	PUNCT
fis-5332	279	2	a	a	X
fis-5332	279	3	)	)	PUNCT
fis-5332	279	4	al-2024	al-2024	NOUN
fis-5332	279	5	-	-	PUNCT
fis-5332	279	6	t42	t42	NOUN
fis-5332	279	7	without	without	ADP
fis-5332	279	8	data	datum	NOUN
fis-5332	279	9	augmentation	augmentation	NOUN
fis-5332	279	10	(	(	PUNCT
fis-5332	279	11	b	b	NOUN
fis-5332	279	12	)	)	PUNCT
fis-5332	279	13	al-2024	al-2024	NOUN
fis-5332	279	14	-	-	PUNCT
fis-5332	279	15	t42	t42	NOUN
fis-5332	279	16	with	with	ADP
fis-5332	279	17	data	datum	NOUN
fis-5332	279	18	augmentation	augmentation	NOUN
fis-5332	279	19	figure	figure	NOUN
fis-5332	279	20	6	6	NUM
fis-5332	279	21	:	:	PUNCT
fis-5332	279	22	comparison	comparison	NOUN
fis-5332	279	23	of	of	ADP
fis-5332	279	24	predicted	predict	VERB
fis-5332	279	25	and	and	CCONJ
fis-5332	279	26	experimental	experimental	ADJ
fis-5332	279	27	cycle	cycle	NOUN
fis-5332	279	28	ratios	ratio	NOUN
fis-5332	279	29	for	for	ADP
fis-5332	279	30	al-2024	al-2024	NOUN
fis-5332	279	31	-	-	PUNCT
fis-5332	279	32	t42	t42	NOUN
fis-5332	279	33	.	.	PUNCT
fis-5332	280	1	as	as	SCONJ
fis-5332	280	2	shown	show	VERB
fis-5332	280	3	in	in	ADP
fis-5332	280	4	the	the	DET
fis-5332	280	5	prediction	prediction	NOUN
fis-5332	280	6	results	result	NOUN
fis-5332	280	7	in	in	ADP
fis-5332	280	8	fig	fig	NOUN
fis-5332	280	9	.	.	PUNCT
fis-5332	281	1	6	6	NUM
fis-5332	281	2	,	,	PUNCT
fis-5332	281	3	most	most	ADJ
fis-5332	281	4	of	of	ADP
fis-5332	281	5	the	the	DET
fis-5332	281	6	predicted	predict	VERB
fis-5332	281	7	values	value	NOUN
fis-5332	281	8	from	from	ADP
fis-5332	281	9	the	the	DET
fis-5332	281	10	four	four	NUM
fis-5332	281	11	machine	machine	NOUN
fis-5332	281	12	learning	learning	NOUN
fis-5332	281	13	models	model	NOUN
fis-5332	281	14	utilizing	utilize	VERB
fis-5332	281	15	data	datum	NOUN
fis-5332	281	16	augmentation	augmentation	NOUN
fis-5332	281	17	are	be	AUX
fis-5332	281	18	concentrated	concentrate	VERB
fis-5332	281	19	within	within	ADP
fis-5332	281	20	the	the	DET
fis-5332	281	21	20	20	NUM
fis-5332	281	22	%	%	NOUN
fis-5332	281	23	error	error	NOUN
fis-5332	281	24	band	band	NOUN
fis-5332	281	25	.	.	PUNCT
fis-5332	282	1	conversely	conversely	ADV
fis-5332	282	2	,	,	PUNCT
fis-5332	282	3	the	the	DET
fis-5332	282	4	majority	majority	NOUN
fis-5332	282	5	of	of	ADP
fis-5332	282	6	predictions	prediction	NOUN
fis-5332	282	7	from	from	ADP
fis-5332	282	8	the	the	DET
fis-5332	282	9	miner	miner	NOUN
fis-5332	282	10	and	and	CCONJ
fis-5332	282	11	ye	ye	NOUN
fis-5332	282	12	models	model	NOUN
fis-5332	282	13	lie	lie	VERB
fis-5332	282	14	beyond	beyond	ADP
fis-5332	282	15	the	the	DET
fis-5332	282	16	20	20	NUM
fis-5332	282	17	%	%	NOUN
fis-5332	282	18	error	error	NOUN
fis-5332	282	19	band	band	NOUN
fis-5332	282	20	.	.	PUNCT
fis-5332	283	1	and	and	CCONJ
fis-5332	283	2	there	there	PRON
fis-5332	283	3	are	be	VERB
fis-5332	283	4	five	five	NUM
fis-5332	283	5	points	point	NOUN
fis-5332	283	6	in	in	ADP
fis-5332	283	7	the	the	DET
fis-5332	283	8	augmented	augment	VERB
fis-5332	283	9	machine	machine	NOUN
fis-5332	283	10	learning	learning	NOUN
fis-5332	283	11	models	model	NOUN
fis-5332	283	12	that	that	PRON
fis-5332	283	13	are	be	AUX
fis-5332	283	14	closer	close	ADJ
fis-5332	283	15	to	to	ADP
fis-5332	283	16	the	the	DET
fis-5332	283	17	fatigue	fatigue	NOUN
fis-5332	283	18	experiment	experiment	NOUN
fis-5332	283	19	results	result	NOUN
fis-5332	283	20	and	and	CCONJ
fis-5332	283	21	better	well	ADJ
fis-5332	283	22	stability	stability	NOUN
fis-5332	283	23	relative	relative	ADJ
fis-5332	283	24	to	to	ADP
fis-5332	283	25	the	the	DET
fis-5332	283	26	peng	peng	PROPN
fis-5332	283	27	model	model	PROPN
fis-5332	283	28	.	.	PUNCT
fis-5332	284	1	aluminum	aluminum	NOUN
fis-5332	284	2	alloy	alloy	NOUN
fis-5332	284	3	materials	material	NOUN
fis-5332	284	4	al-7050	al-7050	NOUN
fis-5332	284	5	-	-	PUNCT
fis-5332	284	6	t7451	t7451	PROPN
fis-5332	284	7	al-7050	al-7050	PROPN
fis-5332	284	8	-	-	PUNCT
fis-5332	284	9	t7451	t7451	PROPN
fis-5332	284	10	is	be	AUX
fis-5332	284	11	a	a	DET
fis-5332	284	12	high	high	ADJ
fis-5332	284	13	strength	strength	NOUN
fis-5332	284	14	aluminum	aluminum	NOUN
fis-5332	284	15	alloy	alloy	NOUN
fis-5332	284	16	material	material	NOUN
fis-5332	284	17	.	.	PUNCT
fis-5332	285	1	it	it	PRON
fis-5332	285	2	has	have	VERB
fis-5332	285	3	good	good	ADJ
fis-5332	285	4	corrosion	corrosion	NOUN
fis-5332	285	5	resistance	resistance	NOUN
fis-5332	285	6	and	and	CCONJ
fis-5332	285	7	process	process	NOUN
fis-5332	285	8	-	-	PUNCT
fis-5332	285	9	ability	ability	NOUN
fis-5332	285	10	and	and	CCONJ
fis-5332	285	11	is	be	AUX
fis-5332	285	12	widely	widely	ADV
fis-5332	285	13	used	use	VERB
fis-5332	285	14	in	in	ADP
fis-5332	285	15	aerospace	aerospace	NOUN
fis-5332	285	16	and	and	CCONJ
fis-5332	285	17	automotive	automotive	ADJ
fis-5332	285	18	industries	industry	NOUN
fis-5332	285	19	.	.	PUNCT
fis-5332	286	1	the	the	DET
fis-5332	286	2	al-7050	al-7050	PROPN
fis-5332	286	3	-	-	PUNCT
fis-5332	286	4	t7451	t7451	PROPN
fis-5332	286	5	material	material	NOUN
fis-5332	286	6	from	from	ADP
fis-5332	286	7	the	the	DET
fis-5332	286	8	paper	paper	NOUN
fis-5332	286	9	[	[	X
fis-5332	286	10	23	23	NUM
fis-5332	286	11	]	]	PUNCT
fis-5332	286	12	was	be	AUX
fis-5332	286	13	tested	test	VERB
fis-5332	286	14	for	for	ADP
fis-5332	286	15	single	single	ADJ
fis-5332	286	16	stress	stress	NOUN
fis-5332	286	17	amplitude	amplitude	NOUN
fis-5332	286	18	change	change	NOUN
fis-5332	286	19	in	in	ADP
fis-5332	286	20	flexural	flexural	ADJ
fis-5332	286	21	fatigue	fatigue	NOUN
fis-5332	286	22	at	at	ADP
fis-5332	286	23	room	room	NOUN
fis-5332	286	24	temperature	temperature	NOUN
fis-5332	286	25	.	.	PUNCT
fis-5332	287	1	the	the	DET
fis-5332	287	2	results	result	NOUN
fis-5332	287	3	of	of	ADP
fis-5332	287	4	fatigue	fatigue	NOUN
fis-5332	287	5	testing	testing	NOUN
fis-5332	287	6	reveal	reveal	VERB
fis-5332	287	7	that	that	SCONJ
fis-5332	287	8	,	,	PUNCT
fis-5332	287	9	when	when	SCONJ
fis-5332	287	10	subjected	subject	VERB
fis-5332	287	11	to	to	ADP
fis-5332	287	12	applied	apply	VERB
fis-5332	287	13	stresses	stress	NOUN
fis-5332	287	14	of	of	ADP
fis-5332	287	15	176	176	NUM
fis-5332	287	16	mpa	mpa	NOUN
fis-5332	287	17	,	,	PUNCT
fis-5332	287	18	133	133	NUM
fis-5332	287	19	mpa	mpa	NOUN
fis-5332	287	20	,	,	PUNCT
fis-5332	287	21	and	and	CCONJ
fis-5332	287	22	85	85	NUM
fis-5332	287	23	mpa	mpa	NOUN
fis-5332	287	24	,	,	PUNCT
fis-5332	287	25	the	the	DET
fis-5332	287	26	fatigue	fatigue	NOUN
fis-5332	287	27	life	life	NOUN
fis-5332	287	28	corresponds	correspond	VERB
fis-5332	287	29	to	to	ADP
fis-5332	287	30	27,300	27,300	NUM
fis-5332	287	31	cycles	cycle	NOUN
fis-5332	287	32	,	,	PUNCT
fis-5332	287	33	61,400	61,400	NUM
fis-5332	287	34	cycles	cycle	NOUN
fis-5332	287	35	,	,	PUNCT
fis-5332	287	36	and	and	CCONJ
fis-5332	287	37	225,800	225,800	NUM
fis-5332	287	38	cycles	cycle	NOUN
fis-5332	287	39	,	,	PUNCT
fis-5332	287	40	respectively	respectively	ADV
fis-5332	287	41	.	.	PUNCT
fis-5332	288	1	the	the	DET
fis-5332	288	2	error	error	NOUN
fis-5332	288	3	between	between	ADP
fis-5332	288	4	the	the	DET
fis-5332	288	5	experimental	experimental	ADJ
fis-5332	288	6	and	and	CCONJ
fis-5332	288	7	predicted	predict	VERB
fis-5332	288	8	values	value	NOUN
fis-5332	288	9	of	of	ADP
fis-5332	288	10	al-7050	al-7050	PROPN
fis-5332	288	11	-	-	PUNCT
fis-5332	288	12	t7451	t7451	PROPN
fis-5332	288	13	is	be	AUX
fis-5332	288	14	shown	show	VERB
fis-5332	288	15	in	in	ADP
fis-5332	288	16	fig	fig	NOUN
fis-5332	288	17	7	7	NUM
fis-5332	288	18	.	.	PUNCT
fis-5332	289	1	the	the	DET
fis-5332	289	2	prediction	prediction	NOUN
fis-5332	289	3	results	result	VERB
fis-5332	289	4	in	in	ADP
fis-5332	289	5	fig	fig	NOUN
fis-5332	289	6	.	.	PUNCT
fis-5332	290	1	7	7	NUM
fis-5332	290	2	show	show	VERB
fis-5332	290	3	that	that	SCONJ
fis-5332	290	4	most	most	ADJ
fis-5332	290	5	of	of	ADP
fis-5332	290	6	the	the	DET
fis-5332	290	7	predicted	predict	VERB
fis-5332	290	8	values	value	NOUN
fis-5332	290	9	from	from	ADP
fis-5332	290	10	the	the	DET
fis-5332	290	11	four	four	NUM
fis-5332	290	12	machine	machine	NOUN
fis-5332	290	13	learning	learning	NOUN
fis-5332	290	14	models	model	NOUN
fis-5332	290	15	using	use	VERB
fis-5332	290	16	data	datum	NOUN
fis-5332	290	17	augmentation	augmentation	NOUN
fis-5332	290	18	are	be	AUX
fis-5332	290	19	concentrated	concentrate	VERB
fis-5332	290	20	within	within	ADP
fis-5332	290	21	the	the	DET
fis-5332	290	22	10	10	NUM
fis-5332	290	23	%	%	NOUN
fis-5332	290	24	error	error	NOUN
fis-5332	290	25	band	band	NOUN
fis-5332	290	26	.	.	PUNCT
fis-5332	291	1	conversely	conversely	ADV
fis-5332	291	2	,	,	PUNCT
fis-5332	291	3	the	the	DET
fis-5332	291	4	majority	majority	NOUN
fis-5332	291	5	of	of	ADP
fis-5332	291	6	the	the	DET
fis-5332	291	7	predicted	predict	VERB
fis-5332	291	8	values	value	NOUN
fis-5332	291	9	from	from	ADP
fis-5332	291	10	both	both	CCONJ
fis-5332	291	11	the	the	DET
fis-5332	291	12	miner	miner	NOUN
fis-5332	291	13	and	and	CCONJ
fis-5332	291	14	ye	ye	NOUN
fis-5332	291	15	models	model	NOUN
fis-5332	291	16	lie	lie	VERB
fis-5332	291	17	outside	outside	ADV
fis-5332	291	18	and	and	CCONJ
fis-5332	291	19	are	be	AUX
fis-5332	291	20	distant	distant	ADJ
fis-5332	291	21	from	from	ADP
fis-5332	291	22	the	the	DET
fis-5332	291	23	20	20	NUM
fis-5332	291	24	%	%	NOUN
fis-5332	291	25	error	error	NOUN
fis-5332	291	26	band	band	NOUN
fis-5332	291	27	.	.	PUNCT
fis-5332	292	1	furthermore	furthermore	ADV
fis-5332	292	2	,	,	PUNCT
fis-5332	292	3	it	it	PRON
fis-5332	292	4	is	be	AUX
fis-5332	292	5	evident	evident	ADJ
fis-5332	292	6	that	that	SCONJ
fis-5332	292	7	the	the	DET
fis-5332	292	8	kelm	kelm	PROPN
fis-5332	292	9	and	and	CCONJ
fis-5332	292	10	svm	svm	ADJ
fis-5332	292	11	models	model	NOUN
fis-5332	292	12	demonstrate	demonstrate	VERB
fis-5332	292	13	superior	superior	ADJ
fis-5332	292	14	prediction	prediction	NOUN
fis-5332	292	15	performance	performance	NOUN
fis-5332	292	16	compared	compare	VERB
fis-5332	292	17	to	to	ADP
fis-5332	292	18	the	the	DET
fis-5332	292	19	rf	rf	NOUN
fis-5332	292	20	and	and	CCONJ
fis-5332	292	21	bp	bp	PROPN
fis-5332	292	22	models	model	NOUN
fis-5332	292	23	among	among	ADP
fis-5332	292	24	the	the	DET
fis-5332	292	25	four	four	NUM
fis-5332	292	26	machine	machine	NOUN
fis-5332	292	27	learning	learning	NOUN
fis-5332	292	28	approaches	approach	NOUN
fis-5332	292	29	.	.	PUNCT
fis-5332	293	1	x.	x.	PROPN
fis-5332	293	2	cao	cao	PROPN
fis-5332	293	3	et	et	PROPN
fis-5332	293	4	alii	alii	PROPN
fis-5332	293	5	,	,	PUNCT
fis-5332	293	6	frattura	frattura	PROPN
fis-5332	293	7	ed	ed	PROPN
fis-5332	293	8	integrità	integrità	PROPN
fis-5332	293	9	strutturale	strutturale	PROPN
fis-5332	293	10	,	,	PUNCT
fis-5332	293	11	72	72	NUM
fis-5332	293	12	(	(	PUNCT
fis-5332	293	13	2025	2025	NUM
fis-5332	293	14	)	)	PUNCT
fis-5332	293	15	162	162	NUM
fis-5332	293	16	-	-	SYM
fis-5332	293	17	178	178	NUM
fis-5332	293	18	;	;	PUNCT
fis-5332	293	19	doi	doi	NOUN
fis-5332	293	20	:	:	PUNCT
fis-5332	293	21	10.3221	10.3221	NUM
fis-5332	293	22	/	/	SYM
fis-5332	293	23	igf	igf	PROPN
fis-5332	293	24	-	-	PUNCT
fis-5332	293	25	esis.72.12	esis.72.12	PROPN
fis-5332	293	26	174	174	NUM
fis-5332	293	27	(	(	PUNCT
fis-5332	293	28	a	a	NOUN
fis-5332	293	29	)	)	PUNCT
fis-5332	293	30	al-7050	al-7050	PROPN
fis-5332	293	31	-	-	PUNCT
fis-5332	293	32	t7451	t7451	PROPN
fis-5332	293	33	without	without	ADP
fis-5332	293	34	data	datum	NOUN
fis-5332	293	35	augmentation	augmentation	NOUN
fis-5332	293	36	(	(	PUNCT
fis-5332	293	37	b	b	NOUN
fis-5332	293	38	)	)	PUNCT
fis-5332	293	39	al-7050	al-7050	PROPN
fis-5332	293	40	-	-	PUNCT
fis-5332	293	41	t7451	t7451	PROPN
fis-5332	293	42	with	with	ADP
fis-5332	293	43	data	datum	NOUN
fis-5332	293	44	augmentation	augmentation	NOUN
fis-5332	293	45	figure	figure	NOUN
fis-5332	293	46	7	7	NUM
fis-5332	293	47	:	:	PUNCT
fis-5332	293	48	comparison	comparison	NOUN
fis-5332	293	49	of	of	ADP
fis-5332	293	50	predicted	predict	VERB
fis-5332	293	51	and	and	CCONJ
fis-5332	293	52	experimental	experimental	ADJ
fis-5332	293	53	cycle	cycle	NOUN
fis-5332	293	54	ratios	ratio	NOUN
fis-5332	293	55	for	for	ADP
fis-5332	293	56	al-7050	al-7050	PROPN
fis-5332	293	57	-	-	PUNCT
fis-5332	293	58	t7451	t7451	PROPN
fis-5332	293	59	.	.	PUNCT
fis-5332	294	1	titanium	titanium	NOUN
fis-5332	294	2	alloy	alloy	NOUN
fis-5332	294	3	materials	material	NOUN
fis-5332	294	4	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	294	5	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	294	6	is	be	AUX
fis-5332	294	7	the	the	DET
fis-5332	294	8	pioneering	pioneering	ADJ
fis-5332	294	9	titanium	titanium	NOUN
fis-5332	294	10	alloy	alloy	NOUN
fis-5332	294	11	material	material	NOUN
fis-5332	294	12	that	that	PRON
fis-5332	294	13	has	have	AUX
fis-5332	294	14	been	be	AUX
fis-5332	294	15	successfully	successfully	ADV
fis-5332	294	16	developed	develop	VERB
fis-5332	294	17	and	and	CCONJ
fis-5332	294	18	implemented	implement	VERB
fis-5332	294	19	.	.	PUNCT
fis-5332	295	1	its	its	PRON
fis-5332	295	2	exceptional	exceptional	ADJ
fis-5332	295	3	heat	heat	NOUN
fis-5332	295	4	and	and	CCONJ
fis-5332	295	5	corrosion	corrosion	NOUN
fis-5332	295	6	resistance	resistance	NOUN
fis-5332	295	7	qualities	quality	NOUN
fis-5332	295	8	make	make	VERB
fis-5332	295	9	it	it	PRON
fis-5332	295	10	predominantly	predominantly	ADV
fis-5332	295	11	utilized	utilize	VERB
fis-5332	295	12	in	in	ADP
fis-5332	295	13	aviation	aviation	NOUN
fis-5332	295	14	engines	engine	NOUN
fis-5332	295	15	,	,	PUNCT
fis-5332	295	16	rockets	rocket	NOUN
fis-5332	295	17	,	,	PUNCT
fis-5332	295	18	and	and	CCONJ
fis-5332	295	19	various	various	ADJ
fis-5332	295	20	other	other	ADJ
fis-5332	295	21	industries	industry	NOUN
fis-5332	295	22	.	.	PUNCT
fis-5332	296	1	the	the	DET
fis-5332	296	2	aero	aero	ADJ
fis-5332	296	3	-	-	PUNCT
fis-5332	296	4	engine	engine	NOUN
fis-5332	296	5	compressor	compressor	NOUN
fis-5332	296	6	blade	blade	NOUN
fis-5332	296	7	material	material	NOUN
fis-5332	296	8	ti-6al-4v	ti-6al-4v	NOUN
fis-5332	296	9	titanium	titanium	NOUN
fis-5332	296	10	alloy	alloy	NOUN
fis-5332	296	11	from	from	ADP
fis-5332	296	12	the	the	DET
fis-5332	296	13	literature	literature	NOUN
fis-5332	296	14	[	[	X
fis-5332	296	15	24	24	NUM
fis-5332	296	16	]	]	PUNCT
fis-5332	296	17	was	be	AUX
fis-5332	296	18	tested	test	VERB
fis-5332	296	19	in	in	ADP
fis-5332	296	20	a	a	DET
fis-5332	296	21	room	room	NOUN
fis-5332	296	22	temperature	temperature	NOUN
fis-5332	296	23	environment	environment	NOUN
fis-5332	296	24	.	.	PUNCT
fis-5332	297	1	its	its	PRON
fis-5332	297	2	variable	variable	ADJ
fis-5332	297	3	amplitude	amplitude	NOUN
fis-5332	297	4	loading	loading	NOUN
fis-5332	297	5	fatigue	fatigue	NOUN
fis-5332	297	6	test	test	NOUN
fis-5332	297	7	consists	consist	VERB
fis-5332	297	8	of	of	ADP
fis-5332	297	9	two	two	NUM
fis-5332	297	10	types	type	NOUN
fis-5332	297	11	of	of	ADP
fis-5332	297	12	loading	loading	NOUN
fis-5332	297	13	:	:	PUNCT
fis-5332	297	14	high	high	ADJ
fis-5332	297	15	-	-	PUNCT
fis-5332	297	16	to	to	ADP
fis-5332	297	17	-	-	PUNCT
fis-5332	297	18	low	low	ADJ
fis-5332	297	19	and	and	CCONJ
fis-5332	297	20	lowto	lowto	NOUN
fis-5332	297	21	-	-	PUNCT
fis-5332	297	22	high	high	ADJ
fis-5332	297	23	.	.	PUNCT
fis-5332	298	1	the	the	DET
fis-5332	298	2	load	load	NOUN
fis-5332	298	3	levels	level	NOUN
fis-5332	298	4	for	for	ADP
fis-5332	298	5	the	the	DET
fis-5332	298	6	high	high	ADJ
fis-5332	298	7	-	-	PUNCT
fis-5332	298	8	low	low	NOUN
fis-5332	298	9	loading	loading	NOUN
fis-5332	298	10	were	be	AUX
fis-5332	298	11	595	595	NUM
fis-5332	298	12	-	-	SYM
fis-5332	298	13	517	517	NUM
fis-5332	298	14	mpa	mpa	NOUN
fis-5332	298	15	and	and	CCONJ
fis-5332	298	16	647	647	NUM
fis-5332	298	17	-	-	SYM
fis-5332	298	18	517	517	NUM
fis-5332	298	19	mpa	mpa	NOUN
fis-5332	298	20	,	,	PUNCT
fis-5332	298	21	while	while	SCONJ
fis-5332	298	22	for	for	ADP
fis-5332	298	23	the	the	DET
fis-5332	298	24	low	low	ADJ
fis-5332	298	25	-	-	PUNCT
fis-5332	298	26	high	high	ADJ
fis-5332	298	27	loading	loading	NOUN
fis-5332	298	28	,	,	PUNCT
fis-5332	298	29	they	they	PRON
fis-5332	298	30	were	be	AUX
fis-5332	298	31	517	517	NUM
fis-5332	298	32	-	-	SYM
fis-5332	298	33	595	595	NUM
fis-5332	298	34	mpa	mpa	NOUN
fis-5332	298	35	and	and	CCONJ
fis-5332	298	36	517	517	NUM
fis-5332	298	37	-	-	SYM
fis-5332	298	38	647	647	NUM
fis-5332	298	39	mpa	mpa	NOUN
fis-5332	298	40	,	,	PUNCT
fis-5332	298	41	respectively	respectively	ADV
fis-5332	298	42	.	.	PUNCT
fis-5332	299	1	where	where	SCONJ
fis-5332	299	2	the	the	DET
fis-5332	299	3	fatigue	fatigue	NOUN
fis-5332	299	4	life	life	NOUN
fis-5332	299	5	at	at	ADP
fis-5332	299	6	647	647	NUM
fis-5332	299	7	,	,	PUNCT
fis-5332	299	8	517	517	NUM
fis-5332	299	9	,	,	PUNCT
fis-5332	299	10	and	and	CCONJ
fis-5332	299	11	595	595	NUM
fis-5332	299	12	mpa	mpa	NOUN
fis-5332	299	13	stresses	stress	NOUN
fis-5332	299	14	were	be	AUX
fis-5332	299	15	37200	37200	NUM
fis-5332	299	16	,	,	PUNCT
fis-5332	299	17	143633	143633	NUM
fis-5332	299	18	,	,	PUNCT
fis-5332	299	19	and	and	CCONJ
fis-5332	299	20	64467	64467	NUM
fis-5332	299	21	cycles	cycle	NOUN
fis-5332	299	22	respectively	respectively	ADV
fis-5332	299	23	.	.	PUNCT
fis-5332	300	1	fig	fig	NOUN
fis-5332	300	2	.	.	PUNCT
fis-5332	301	1	8	8	NUM
fis-5332	301	2	displays	display	VERB
fis-5332	301	3	the	the	DET
fis-5332	301	4	error	error	NOUN
fis-5332	301	5	between	between	ADP
fis-5332	301	6	the	the	DET
fis-5332	301	7	experimental	experimental	ADJ
fis-5332	301	8	and	and	CCONJ
fis-5332	301	9	predicted	predict	VERB
fis-5332	301	10	values	value	NOUN
fis-5332	301	11	for	for	ADP
fis-5332	301	12	ti-6al4v	ti-6al4v	PROPN
fis-5332	301	13	.	.	PUNCT
fis-5332	302	1	(	(	PUNCT
fis-5332	302	2	a	a	X
fis-5332	302	3	)	)	PUNCT
fis-5332	302	4	ti-6al-4v	ti-6al-4v	NOUN
fis-5332	302	5	without	without	ADP
fis-5332	302	6	data	data	NOUN
fis-5332	302	7	augmentation	augmentation	NOUN
fis-5332	302	8	(	(	PUNCT
fis-5332	302	9	b	b	NOUN
fis-5332	302	10	)	)	PUNCT
fis-5332	302	11	ti-6al-4v	ti-6al-4v	NOUN
fis-5332	302	12	with	with	ADP
fis-5332	302	13	data	datum	NOUN
fis-5332	302	14	augmentation	augmentation	NOUN
fis-5332	302	15	figure	figure	NOUN
fis-5332	302	16	8	8	NUM
fis-5332	302	17	:	:	PUNCT
fis-5332	302	18	comparison	comparison	NOUN
fis-5332	302	19	of	of	ADP
fis-5332	302	20	predicted	predict	VERB
fis-5332	302	21	and	and	CCONJ
fis-5332	302	22	experimental	experimental	ADJ
fis-5332	302	23	cycle	cycle	NOUN
fis-5332	302	24	ratios	ratio	NOUN
fis-5332	302	25	for	for	ADP
fis-5332	302	26	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	302	27	.	.	PUNCT
fis-5332	303	1	as	as	SCONJ
fis-5332	303	2	shown	show	VERB
fis-5332	303	3	in	in	ADP
fis-5332	303	4	the	the	DET
fis-5332	303	5	prediction	prediction	NOUN
fis-5332	303	6	results	result	NOUN
fis-5332	303	7	in	in	ADP
fis-5332	303	8	fig	fig	NOUN
fis-5332	303	9	.	.	PUNCT
fis-5332	304	1	8	8	NUM
fis-5332	304	2	,	,	PUNCT
fis-5332	304	3	the	the	DET
fis-5332	304	4	majority	majority	NOUN
fis-5332	304	5	of	of	ADP
fis-5332	304	6	the	the	DET
fis-5332	304	7	predicted	predict	VERB
fis-5332	304	8	values	value	NOUN
fis-5332	304	9	from	from	ADP
fis-5332	304	10	the	the	DET
fis-5332	304	11	four	four	NUM
fis-5332	304	12	machine	machine	NOUN
fis-5332	304	13	learning	learning	NOUN
fis-5332	304	14	models	model	NOUN
fis-5332	304	15	utilizing	utilize	VERB
fis-5332	304	16	data	datum	NOUN
fis-5332	304	17	augmentation	augmentation	NOUN
fis-5332	304	18	fall	fall	VERB
fis-5332	304	19	within	within	ADP
fis-5332	304	20	the	the	DET
fis-5332	304	21	20	20	NUM
fis-5332	304	22	%	%	NOUN
fis-5332	304	23	error	error	NOUN
fis-5332	304	24	band	band	NOUN
fis-5332	304	25	.	.	PUNCT
fis-5332	305	1	four	four	NUM
fis-5332	305	2	of	of	ADP
fis-5332	305	3	the	the	DET
fis-5332	305	4	data	datum	NOUN
fis-5332	305	5	are	be	AUX
fis-5332	305	6	closer	close	ADJ
fis-5332	305	7	to	to	ADP
fis-5332	305	8	being	be	AUX
fis-5332	305	9	within	within	ADP
fis-5332	305	10	the	the	DET
fis-5332	305	11	10	10	NUM
fis-5332	305	12	%	%	NOUN
fis-5332	305	13	error	error	NOUN
fis-5332	305	14	band	band	NOUN
fis-5332	305	15	.	.	PUNCT
fis-5332	306	1	alternatively	alternatively	ADV
fis-5332	306	2	,	,	PUNCT
fis-5332	306	3	the	the	DET
fis-5332	306	4	majority	majority	NOUN
fis-5332	306	5	of	of	ADP
fis-5332	306	6	the	the	DET
fis-5332	306	7	forecasts	forecast	NOUN
fis-5332	306	8	generated	generate	VERB
fis-5332	306	9	by	by	ADP
fis-5332	306	10	the	the	DET
fis-5332	306	11	miner	miner	NOUN
fis-5332	306	12	and	and	CCONJ
fis-5332	306	13	ye	ye	NOUN
fis-5332	306	14	models	model	NOUN
fis-5332	306	15	fall	fall	VERB
fis-5332	306	16	outside	outside	ADP
fis-5332	306	17	the	the	DET
fis-5332	306	18	20	20	NUM
fis-5332	306	19	%	%	NOUN
fis-5332	306	20	error	error	NOUN
fis-5332	306	21	band	band	NOUN
fis-5332	306	22	and	and	CCONJ
fis-5332	306	23	are	be	AUX
fis-5332	306	24	notably	notably	ADV
fis-5332	306	25	remote	remote	ADJ
fis-5332	306	26	from	from	ADP
fis-5332	306	27	it	it	PRON
fis-5332	306	28	.	.	PUNCT
fis-5332	307	1	it	it	PRON
fis-5332	307	2	is	be	AUX
fis-5332	307	3	apparent	apparent	ADJ
fis-5332	307	4	that	that	SCONJ
fis-5332	307	5	the	the	DET
fis-5332	307	6	model	model	NOUN
fis-5332	307	7	augmented	augment	VERB
fis-5332	307	8	with	with	ADP
fis-5332	307	9	data	datum	NOUN
fis-5332	307	10	demonstrates	demonstrate	VERB
fis-5332	307	11	a	a	DET
fis-5332	307	12	reduced	reduce	VERB
fis-5332	307	13	error	error	NOUN
fis-5332	307	14	rate	rate	NOUN
fis-5332	307	15	.	.	PUNCT
fis-5332	308	1	the	the	DET
fis-5332	308	2	proposed	propose	VERB
fis-5332	308	3	augmented	augment	VERB
fis-5332	308	4	model	model	NOUN
fis-5332	308	5	is	be	AUX
fis-5332	308	6	pertinent	pertinent	ADJ
fis-5332	308	7	for	for	ADP
fis-5332	308	8	predicting	predict	VERB
fis-5332	308	9	the	the	DET
fis-5332	308	10	fatigue	fatigue	NOUN
fis-5332	308	11	life	life	NOUN
fis-5332	308	12	of	of	ADP
fis-5332	308	13	both	both	PRON
fis-5332	308	14	welded	weld	VERB
fis-5332	308	15	aluminum	aluminum	NOUN
fis-5332	308	16	alloy	alloy	NOUN
fis-5332	308	17	structures	structure	NOUN
fis-5332	308	18	and	and	CCONJ
fis-5332	308	19	welded	weld	VERB
fis-5332	308	20	structures	structure	NOUN
fis-5332	308	21	made	make	VERB
fis-5332	308	22	from	from	ADP
fis-5332	308	23	various	various	ADJ
fis-5332	308	24	other	other	ADJ
fis-5332	308	25	alloy	alloy	NOUN
fis-5332	308	26	materials	material	NOUN
fis-5332	308	27	.	.	PUNCT
fis-5332	309	1	x.	x.	PROPN
fis-5332	309	2	cao	cao	PROPN
fis-5332	309	3	et	et	PROPN
fis-5332	309	4	alii	alii	PROPN
fis-5332	309	5	,	,	PUNCT
fis-5332	309	6	frattura	frattura	PROPN
fis-5332	309	7	ed	ed	PROPN
fis-5332	309	8	integrità	integrità	PROPN
fis-5332	309	9	strutturale	strutturale	PROPN
fis-5332	309	10	,	,	PUNCT
fis-5332	309	11	72	72	NUM
fis-5332	309	12	(	(	PUNCT
fis-5332	309	13	2025	2025	NUM
fis-5332	309	14	)	)	PUNCT
fis-5332	309	15	162	162	NUM
fis-5332	309	16	-	-	SYM
fis-5332	309	17	178	178	NUM
fis-5332	309	18	;	;	PUNCT
fis-5332	309	19	doi	doi	NOUN
fis-5332	309	20	:	:	PUNCT
fis-5332	309	21	10.3221	10.3221	NUM
fis-5332	309	22	/	/	SYM
fis-5332	309	23	igf	igf	PROPN
fis-5332	309	24	-	-	PUNCT
fis-5332	309	25	esis.72.12	esis.72.12	ADJ
fis-5332	309	26	175	175	NUM
fis-5332	309	27	materials	material	NOUN
fis-5332	309	28	miner	miner	NOUN
fis-5332	309	29	model	model	VERB
fis-5332	309	30	me	i	PRON
fis-5332	309	31	(	(	PUNCT
fis-5332	309	32	%	%	INTJ
fis-5332	309	33	)	)	PUNCT
fis-5332	309	34	ye	ye	PRON
fis-5332	309	35	model	model	VERB
fis-5332	309	36	me	i	PRON
fis-5332	309	37	(	(	PUNCT
fis-5332	309	38	%	%	INTJ
fis-5332	309	39	)	)	PUNCT
fis-5332	310	1	peng	peng	PROPN
fis-5332	310	2	model	model	VERB
fis-5332	310	3	me	i	PRON
fis-5332	310	4	(	(	PUNCT
fis-5332	310	5	%	%	INTJ
fis-5332	310	6	)	)	PUNCT
fis-5332	310	7	kelm	kelm	PROPN
fis-5332	310	8	model	model	NOUN
fis-5332	310	9	me	i	PRON
fis-5332	310	10	(	(	PUNCT
fis-5332	310	11	%	%	INTJ
fis-5332	310	12	)	)	PUNCT
fis-5332	311	1	svm	svm	PROPN
fis-5332	311	2	model	model	VERB
fis-5332	311	3	me	i	PRON
fis-5332	311	4	(	(	PUNCT
fis-5332	311	5	%	%	INTJ
fis-5332	311	6	)	)	PUNCT
fis-5332	311	7	rf	rf	NOUN
fis-5332	311	8	model	model	NOUN
fis-5332	311	9	me	i	PRON
fis-5332	311	10	(	(	PUNCT
fis-5332	311	11	%	%	INTJ
fis-5332	311	12	)	)	PUNCT
fis-5332	311	13	bp	bp	PROPN
fis-5332	311	14	model	model	VERB
fis-5332	311	15	me	i	PRON
fis-5332	311	16	(	(	PUNCT
fis-5332	311	17	%	%	INTJ
fis-5332	311	18	)	)	PUNCT
fis-5332	311	19	butt	butt	NOUN
fis-5332	311	20	joint	joint	ADJ
fis-5332	311	21	37.26	37.26	NUM
fis-5332	311	22	35.16	35.16	NUM
fis-5332	311	23	10.13	10.13	NUM
fis-5332	311	24	14.47	14.47	NUM
fis-5332	311	25	10.47	10.47	NUM
fis-5332	311	26	12.74	12.74	NUM
fis-5332	311	27	11.47	11.47	NUM
fis-5332	311	28	corner	corner	NOUN
fis-5332	311	29	joint	joint	NOUN
fis-5332	311	30	41.49	41.49	NUM
fis-5332	311	31	37.47	37.47	NUM
fis-5332	311	32	8.34	8.34	NUM
fis-5332	311	33	25.61	25.61	NUM
fis-5332	311	34	20.63	20.63	NUM
fis-5332	311	35	24.81	24.81	NUM
fis-5332	311	36	23.09	23.09	NUM
fis-5332	311	37	al-2024	al-2024	NOUN
fis-5332	311	38	-	-	PUNCT
fis-5332	311	39	t42	t42	NOUN
fis-5332	311	40	68.95	68.95	NUM
fis-5332	311	41	63.26	63.26	NUM
fis-5332	311	42	11.86	11.86	NUM
fis-5332	311	43	16.31	16.31	NUM
fis-5332	311	44	19.38	19.38	NUM
fis-5332	311	45	24.14	24.14	NUM
fis-5332	311	46	22.18	22.18	NUM
fis-5332	311	47	al-7070	al-7070	NOUN
fis-5332	311	48	-	-	PUNCT
fis-5332	311	49	t7451	t7451	PROPN
fis-5332	311	50	158.7	158.7	NUM
fis-5332	311	51	157.88	157.88	NUM
fis-5332	311	52	62.41	62.41	NUM
fis-5332	311	53	193.47	193.47	NUM
fis-5332	311	54	218.02	218.02	NUM
fis-5332	311	55	226.98	226.98	NUM
fis-5332	311	56	195.28	195.28	NUM
fis-5332	311	57	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	311	58	93.81	93.81	NUM
fis-5332	311	59	82.79	82.79	NUM
fis-5332	311	60	31.23	31.23	NUM
fis-5332	311	61	20.11	20.11	NUM
fis-5332	311	62	18.49	18.49	NUM
fis-5332	311	63	23.99	23.99	NUM
fis-5332	311	64	20.82	20.82	NUM
fis-5332	311	65	table	table	NOUN
fis-5332	311	66	4	4	NUM
fis-5332	311	67	:	:	PUNCT
fis-5332	311	68	me	i	PRON
fis-5332	311	69	values	value	NOUN
fis-5332	311	70	of	of	ADP
fis-5332	311	71	machine	machine	NOUN
fis-5332	311	72	learning	learning	NOUN
fis-5332	311	73	models	model	NOUN
fis-5332	311	74	with	with	ADP
fis-5332	311	75	unaugmented	unaugmented	ADJ
fis-5332	311	76	data	datum	NOUN
fis-5332	311	77	on	on	ADP
fis-5332	311	78	the	the	DET
fis-5332	311	79	testing	testing	NOUN
fis-5332	311	80	set	set	VERB
fis-5332	311	81	.	.	PUNCT
fis-5332	312	1	materials	material	NOUN
fis-5332	312	2	miner	miner	NOUN
fis-5332	312	3	model	model	VERB
fis-5332	312	4	me	i	PRON
fis-5332	312	5	(	(	PUNCT
fis-5332	312	6	%	%	INTJ
fis-5332	312	7	)	)	PUNCT
fis-5332	312	8	ye	ye	PRON
fis-5332	312	9	model	model	VERB
fis-5332	312	10	me	i	PRON
fis-5332	312	11	(	(	PUNCT
fis-5332	312	12	%	%	INTJ
fis-5332	312	13	)	)	PUNCT
fis-5332	313	1	peng	peng	PROPN
fis-5332	313	2	model	model	VERB
fis-5332	313	3	me	i	PRON
fis-5332	313	4	(	(	PUNCT
fis-5332	313	5	%	%	INTJ
fis-5332	313	6	)	)	PUNCT
fis-5332	313	7	kelm	kelm	PROPN
fis-5332	313	8	model	model	NOUN
fis-5332	313	9	me	i	PRON
fis-5332	313	10	(	(	PUNCT
fis-5332	313	11	%	%	INTJ
fis-5332	313	12	)	)	PUNCT
fis-5332	314	1	svm	svm	PROPN
fis-5332	314	2	model	model	VERB
fis-5332	314	3	me	i	PRON
fis-5332	314	4	(	(	PUNCT
fis-5332	314	5	%	%	INTJ
fis-5332	314	6	)	)	PUNCT
fis-5332	314	7	rf	rf	NOUN
fis-5332	314	8	model	model	NOUN
fis-5332	314	9	me	i	PRON
fis-5332	314	10	(	(	PUNCT
fis-5332	314	11	%	%	INTJ
fis-5332	314	12	)	)	PUNCT
fis-5332	314	13	bp	bp	PROPN
fis-5332	314	14	model	model	VERB
fis-5332	314	15	me	i	PRON
fis-5332	314	16	(	(	PUNCT
fis-5332	314	17	%	%	INTJ
fis-5332	314	18	)	)	PUNCT
fis-5332	314	19	butt	butt	NOUN
fis-5332	314	20	joint	joint	ADJ
fis-5332	314	21	37.26	37.26	NUM
fis-5332	314	22	35.16	35.16	NUM
fis-5332	314	23	10.13	10.13	NUM
fis-5332	314	24	6.95	6.95	NUM
fis-5332	314	25	7.68	7.68	NUM
fis-5332	314	26	10.94	10.94	NUM
fis-5332	314	27	7.32	7.32	NUM
fis-5332	314	28	corner	corner	NOUN
fis-5332	314	29	joint	joint	NOUN
fis-5332	314	30	41.49	41.49	NUM
fis-5332	314	31	37.47	37.47	NUM
fis-5332	314	32	8.34	8.34	NUM
fis-5332	314	33	4.9	4.9	NUM
fis-5332	314	34	4.72	4.72	NUM
fis-5332	314	35	4.68	4.68	NUM
fis-5332	314	36	4.68	4.68	NUM
fis-5332	314	37	al-2024	al-2024	NOUN
fis-5332	314	38	-	-	PUNCT
fis-5332	314	39	t42	t42	NOUN
fis-5332	314	40	68.95	68.95	NUM
fis-5332	314	41	63.26	63.26	NUM
fis-5332	314	42	11.86	11.86	NUM
fis-5332	314	43	13.23	13.23	NUM
fis-5332	314	44	12.5	12.5	NUM
fis-5332	314	45	18.59	18.59	NUM
fis-5332	314	46	11.13	11.13	NUM
fis-5332	314	47	al-7070	al-7070	NOUN
fis-5332	314	48	-	-	PUNCT
fis-5332	314	49	t7451	t7451	PROPN
fis-5332	314	50	158.7	158.7	NUM
fis-5332	314	51	157.88	157.88	NUM
fis-5332	314	52	62.41	62.41	NUM
fis-5332	314	53	47.54	47.54	NUM
fis-5332	314	54	48.68	48.68	NUM
fis-5332	314	55	72.74	72.74	NUM
fis-5332	314	56	49.27	49.27	NUM
fis-5332	314	57	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	314	58	93.81	93.81	NUM
fis-5332	314	59	82.79	82.79	NUM
fis-5332	314	60	31.23	31.23	NUM
fis-5332	314	61	14.35	14.35	NUM
fis-5332	314	62	12.78	12.78	NUM
fis-5332	314	63	18.45	18.45	NUM
fis-5332	314	64	14.24	14.24	NUM
fis-5332	314	65	table	table	NOUN
fis-5332	314	66	5	5	NUM
fis-5332	314	67	:	:	PUNCT
fis-5332	314	68	me	i	PRON
fis-5332	314	69	values	value	NOUN
fis-5332	314	70	of	of	ADP
fis-5332	314	71	machine	machine	NOUN
fis-5332	314	72	learning	learning	NOUN
fis-5332	314	73	models	model	NOUN
fis-5332	314	74	with	with	ADP
fis-5332	314	75	augmented	augment	VERB
fis-5332	314	76	data	datum	NOUN
fis-5332	314	77	on	on	ADP
fis-5332	314	78	the	the	DET
fis-5332	314	79	testing	testing	NOUN
fis-5332	314	80	set	set	VERB
fis-5332	314	81	.	.	PUNCT
fis-5332	315	1	for	for	ADP
fis-5332	315	2	the	the	DET
fis-5332	315	3	four	four	NUM
fis-5332	315	4	machine	machine	NOUN
fis-5332	315	5	learning	learning	NOUN
fis-5332	315	6	models	model	NOUN
fis-5332	315	7	with	with	ADP
fis-5332	315	8	data	datum	NOUN
fis-5332	315	9	augmentation	augmentation	NOUN
fis-5332	315	10	,	,	PUNCT
fis-5332	315	11	the	the	DET
fis-5332	315	12	me	i	PRON
fis-5332	315	13	for	for	ADP
fis-5332	315	14	almost	almost	ADV
fis-5332	315	15	all	all	PRON
fis-5332	315	16	materials	material	NOUN
fis-5332	315	17	are	be	AUX
fis-5332	315	18	near	near	ADP
fis-5332	315	19	10	10	NUM
fis-5332	315	20	%	%	NOUN
fis-5332	315	21	,	,	PUNCT
fis-5332	315	22	with	with	ADP
fis-5332	315	23	the	the	DET
fis-5332	315	24	exception	exception	NOUN
fis-5332	315	25	of	of	ADP
fis-5332	315	26	al-7070	al-7070	NOUN
fis-5332	315	27	-	-	PUNCT
fis-5332	315	28	t7451	t7451	PROPN
fis-5332	315	29	,	,	PUNCT
fis-5332	315	30	which	which	PRON
fis-5332	315	31	is	be	AUX
fis-5332	315	32	slightly	slightly	ADV
fis-5332	315	33	higher	high	ADJ
fis-5332	315	34	.	.	PUNCT
fis-5332	316	1	it	it	PRON
fis-5332	316	2	is	be	AUX
fis-5332	316	3	worth	worth	ADJ
fis-5332	316	4	noting	note	VERB
fis-5332	316	5	that	that	SCONJ
fis-5332	316	6	the	the	DET
fis-5332	316	7	me	i	PRON
fis-5332	316	8	values	value	NOUN
fis-5332	316	9	for	for	ADP
fis-5332	316	10	butt	butt	NOUN
fis-5332	316	11	and	and	CCONJ
fis-5332	316	12	corner	corner	NOUN
fis-5332	316	13	joints	joint	NOUN
fis-5332	316	14	are	be	AUX
fis-5332	316	15	particularly	particularly	ADV
fis-5332	316	16	low	low	ADJ
fis-5332	316	17	after	after	ADP
fis-5332	316	18	data	data	NOUN
fis-5332	316	19	augmentation	augmentation	NOUN
fis-5332	316	20	,	,	PUNCT
fis-5332	316	21	with	with	ADP
fis-5332	316	22	minimum	minimum	ADJ
fis-5332	316	23	errors	error	NOUN
fis-5332	316	24	of	of	ADP
fis-5332	316	25	6.82	6.82	NUM
fis-5332	316	26	%	%	NOUN
fis-5332	316	27	and	and	CCONJ
fis-5332	316	28	4.65	4.65	NUM
fis-5332	316	29	%	%	NOUN
fis-5332	316	30	on	on	ADP
fis-5332	316	31	the	the	DET
fis-5332	316	32	kelm	kelm	PROPN
fis-5332	316	33	and	and	CCONJ
fis-5332	316	34	rf、bp	rf、bp	PROPN
fis-5332	316	35	models	model	NOUN
fis-5332	316	36	,	,	PUNCT
fis-5332	316	37	respectively	respectively	ADV
fis-5332	316	38	.	.	PUNCT
fis-5332	317	1	when	when	SCONJ
fis-5332	317	2	compared	compare	VERB
fis-5332	317	3	to	to	ADP
fis-5332	317	4	the	the	DET
fis-5332	317	5	conventional	conventional	ADJ
fis-5332	317	6	miner	miner	NOUN
fis-5332	317	7	,	,	PUNCT
fis-5332	317	8	ye	ye	NOUN
fis-5332	317	9	,	,	PUNCT
fis-5332	317	10	and	and	CCONJ
fis-5332	317	11	peng	peng	PROPN
fis-5332	317	12	models	model	NOUN
fis-5332	317	13	,	,	PUNCT
fis-5332	317	14	as	as	ADV
fis-5332	317	15	well	well	ADV
fis-5332	317	16	as	as	ADP
fis-5332	317	17	the	the	DET
fis-5332	317	18	original	original	ADJ
fis-5332	317	19	machine	machine	NOUN
fis-5332	317	20	learning	learning	NOUN
fis-5332	317	21	models	model	NOUN
fis-5332	317	22	,	,	PUNCT
fis-5332	317	23	the	the	DET
fis-5332	317	24	machine	machine	NOUN
fis-5332	317	25	learning	learning	NOUN
fis-5332	317	26	models	model	NOUN
fis-5332	317	27	that	that	PRON
fis-5332	317	28	incorporate	incorporate	VERB
fis-5332	317	29	data	datum	NOUN
fis-5332	317	30	augmentation	augmentation	NOUN
fis-5332	317	31	exhibit	exhibit	VERB
fis-5332	317	32	a	a	DET
fis-5332	317	33	notable	notable	ADJ
fis-5332	317	34	increase	increase	NOUN
fis-5332	317	35	in	in	ADP
fis-5332	317	36	prediction	prediction	NOUN
fis-5332	317	37	accuracy	accuracy	NOUN
fis-5332	317	38	.	.	PUNCT
fis-5332	318	1	it	it	PRON
fis-5332	318	2	has	have	AUX
fis-5332	318	3	been	be	AUX
fis-5332	318	4	improved	improve	VERB
fis-5332	318	5	to	to	ADP
fis-5332	318	6	some	some	DET
fis-5332	318	7	extent	extent	NOUN
fis-5332	318	8	for	for	ADP
fis-5332	318	9	the	the	DET
fis-5332	318	10	low	low	ADJ
fis-5332	318	11	fatigue	fatigue	NOUN
fis-5332	318	12	data	datum	NOUN
fis-5332	318	13	leading	lead	VERB
fis-5332	318	14	to	to	ADP
fis-5332	318	15	poor	poor	ADJ
fis-5332	318	16	accuracy	accuracy	NOUN
fis-5332	318	17	of	of	ADP
fis-5332	318	18	machine	machine	NOUN
fis-5332	318	19	learning	learn	VERB
fis-5332	318	20	predictive	predictive	ADJ
fis-5332	318	21	models	model	NOUN
fis-5332	318	22	.	.	PUNCT
fis-5332	319	1	stability	stability	NOUN
fis-5332	319	2	validation	validation	NOUN
fis-5332	319	3	of	of	ADP
fis-5332	319	4	the	the	DET
fis-5332	319	5	augmented	augment	VERB
fis-5332	319	6	model	model	NOUN
fis-5332	319	7	on	on	ADP
fis-5332	319	8	machine	machine	NOUN
fis-5332	319	9	learning	learning	NOUN
fis-5332	319	10	models	model	NOUN
fis-5332	319	11	in	in	ADP
fis-5332	319	12	order	order	NOUN
fis-5332	319	13	to	to	PART
fis-5332	319	14	avoid	avoid	VERB
fis-5332	319	15	the	the	DET
fis-5332	319	16	uncertainty	uncertainty	NOUN
fis-5332	319	17	associated	associate	VERB
fis-5332	319	18	with	with	ADP
fis-5332	319	19	the	the	DET
fis-5332	319	20	fatigue	fatigue	NOUN
fis-5332	319	21	test	test	NOUN
fis-5332	319	22	data	datum	NOUN
fis-5332	319	23	extracted	extract	VERB
fis-5332	319	24	above	above	ADV
fis-5332	319	25	,	,	PUNCT
fis-5332	319	26	five	five	NUM
fis-5332	319	27	-	-	ADJ
fis-5332	319	28	fold	fold	ADJ
fis-5332	319	29	cross	cross	NOUN
fis-5332	319	30	-	-	ADJ
fis-5332	319	31	validation	validation	NOUN
fis-5332	319	32	is	be	AUX
fis-5332	319	33	added	add	VERB
fis-5332	319	34	to	to	ADP
fis-5332	319	35	this	this	DET
fis-5332	319	36	section	section	NOUN
fis-5332	319	37	.	.	PUNCT
fis-5332	320	1	thereby	thereby	ADV
fis-5332	320	2	the	the	DET
fis-5332	320	3	stability	stability	NOUN
fis-5332	320	4	and	and	CCONJ
fis-5332	320	5	generalizability	generalizability	NOUN
fis-5332	320	6	of	of	ADP
fis-5332	320	7	the	the	DET
fis-5332	320	8	data	data	NOUN
fis-5332	320	9	augmentation	augmentation	NOUN
fis-5332	320	10	model	model	NOUN
fis-5332	320	11	is	be	AUX
fis-5332	320	12	verified	verify	VERB
fis-5332	320	13	on	on	ADP
fis-5332	320	14	the	the	DET
fis-5332	320	15	machine	machine	NOUN
fis-5332	320	16	learning	learning	NOUN
fis-5332	320	17	models	model	NOUN
fis-5332	320	18	.	.	PUNCT
fis-5332	321	1	me	i	PRON
fis-5332	321	2	is	be	AUX
fis-5332	321	3	used	use	VERB
fis-5332	321	4	here	here	ADV
fis-5332	321	5	as	as	ADP
fis-5332	321	6	an	an	DET
fis-5332	321	7	evaluation	evaluation	NOUN
fis-5332	321	8	indicator	indicator	NOUN
fis-5332	321	9	to	to	PART
fis-5332	321	10	validate	validate	VERB
fis-5332	321	11	the	the	DET
fis-5332	321	12	generalization	generalization	NOUN
fis-5332	321	13	ability	ability	NOUN
fis-5332	321	14	of	of	ADP
fis-5332	321	15	the	the	DET
fis-5332	321	16	augmented	augment	VERB
fis-5332	321	17	model	model	NOUN
fis-5332	321	18	on	on	ADP
fis-5332	321	19	four	four	NUM
fis-5332	321	20	machine	machine	NOUN
fis-5332	321	21	learning	learning	NOUN
fis-5332	321	22	models	model	NOUN
fis-5332	321	23	.	.	PUNCT
fis-5332	322	1	the	the	DET
fis-5332	322	2	results	result	NOUN
fis-5332	322	3	are	be	AUX
fis-5332	322	4	shown	show	VERB
fis-5332	322	5	in	in	ADP
fis-5332	322	6	tab	tab	NOUN
fis-5332	322	7	.	.	PROPN
fis-5332	322	8	6	6	NUM
fis-5332	322	9	and	and	CCONJ
fis-5332	322	10	tab	tab	NOUN
fis-5332	322	11	.	.	PUNCT
fis-5332	323	1	7	7	X
fis-5332	323	2	.	.	X
fis-5332	323	3	materials	material	NOUN
fis-5332	323	4	miner	miner	NOUN
fis-5332	323	5	model	model	VERB
fis-5332	323	6	me	i	PRON
fis-5332	323	7	(	(	PUNCT
fis-5332	323	8	%	%	INTJ
fis-5332	323	9	)	)	PUNCT
fis-5332	323	10	ye	ye	PRON
fis-5332	323	11	model	model	VERB
fis-5332	323	12	me	i	PRON
fis-5332	323	13	(	(	PUNCT
fis-5332	323	14	%	%	INTJ
fis-5332	323	15	)	)	PUNCT
fis-5332	324	1	peng	peng	PROPN
fis-5332	324	2	model	model	VERB
fis-5332	324	3	me	i	PRON
fis-5332	324	4	(	(	PUNCT
fis-5332	324	5	%	%	INTJ
fis-5332	324	6	)	)	PUNCT
fis-5332	324	7	kelm	kelm	PROPN
fis-5332	324	8	model	model	NOUN
fis-5332	324	9	me	i	PRON
fis-5332	324	10	(	(	PUNCT
fis-5332	324	11	%	%	INTJ
fis-5332	324	12	)	)	PUNCT
fis-5332	325	1	svm	svm	PROPN
fis-5332	325	2	model	model	VERB
fis-5332	325	3	me	i	PRON
fis-5332	325	4	(	(	PUNCT
fis-5332	325	5	%	%	INTJ
fis-5332	325	6	)	)	PUNCT
fis-5332	325	7	rf	rf	NOUN
fis-5332	325	8	model	model	NOUN
fis-5332	325	9	me	i	PRON
fis-5332	325	10	(	(	PUNCT
fis-5332	325	11	%	%	INTJ
fis-5332	325	12	)	)	PUNCT
fis-5332	325	13	bp	bp	PROPN
fis-5332	325	14	model	model	VERB
fis-5332	325	15	me	i	PRON
fis-5332	325	16	(	(	PUNCT
fis-5332	325	17	%	%	INTJ
fis-5332	325	18	)	)	PUNCT
fis-5332	325	19	butt	butt	NOUN
fis-5332	325	20	joint	joint	ADJ
fis-5332	325	21	37.26	37.26	NUM
fis-5332	325	22	35.16	35.16	NUM
fis-5332	325	23	10.13	10.13	NUM
fis-5332	325	24	18.86	18.86	NUM
fis-5332	325	25	18.56	18.56	NUM
fis-5332	325	26	26.92	26.92	NUM
fis-5332	325	27	24.81	24.81	NUM
fis-5332	325	28	corner	corner	NOUN
fis-5332	325	29	joint	joint	NOUN
fis-5332	325	30	41.49	41.49	NUM
fis-5332	325	31	37.47	37.47	NUM
fis-5332	325	32	8.34	8.34	NUM
fis-5332	325	33	18.17	18.17	NUM
fis-5332	325	34	18.88	18.88	NUM
fis-5332	325	35	27.67	27.67	NUM
fis-5332	325	36	25.62	25.62	NUM
fis-5332	325	37	al-2024	al-2024	NOUN
fis-5332	325	38	-	-	PUNCT
fis-5332	325	39	t42	t42	NOUN
fis-5332	325	40	68.95	68.95	NUM
fis-5332	325	41	63.26	63.26	NUM
fis-5332	325	42	11.86	11.86	NUM
fis-5332	325	43	24.51	24.51	NUM
fis-5332	325	44	30.75	30.75	NUM
fis-5332	325	45	42.27	42.27	NUM
fis-5332	325	46	31.09	31.09	NUM
fis-5332	325	47	al-7070	al-7070	NOUN
fis-5332	325	48	-	-	PUNCT
fis-5332	325	49	t7451	t7451	PROPN
fis-5332	325	50	158.7	158.7	NUM
fis-5332	325	51	157.88	157.88	NUM
fis-5332	325	52	62.41	62.41	NUM
fis-5332	325	53	96.81	96.81	NUM
fis-5332	325	54	97.72	97.72	NUM
fis-5332	325	55	137.68	137.68	NUM
fis-5332	325	56	102.01	102.01	NUM
fis-5332	325	57	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	325	58	93.81	93.81	NUM
fis-5332	325	59	82.79	82.79	NUM
fis-5332	325	60	31.23	31.23	NUM
fis-5332	325	61	45.81	45.81	NUM
fis-5332	325	62	40.96	40.96	NUM
fis-5332	325	63	75.49	75.49	NUM
fis-5332	325	64	44.82	44.82	NUM
fis-5332	325	65	table	table	NOUN
fis-5332	325	66	6	6	NUM
fis-5332	325	67	:	:	PUNCT
fis-5332	325	68	me	i	PRON
fis-5332	325	69	values	value	NOUN
fis-5332	325	70	of	of	ADP
fis-5332	325	71	machine	machine	NOUN
fis-5332	325	72	learning	learning	NOUN
fis-5332	325	73	models	model	NOUN
fis-5332	325	74	with	with	ADP
fis-5332	325	75	unaugmented	unaugmented	ADJ
fis-5332	325	76	data	datum	NOUN
fis-5332	325	77	on	on	ADP
fis-5332	325	78	the	the	DET
fis-5332	325	79	testing	testing	NOUN
fis-5332	325	80	set	set	VERB
fis-5332	325	81	.	.	PUNCT
fis-5332	326	1	materials	material	NOUN
fis-5332	326	2	miner	miner	NOUN
fis-5332	326	3	model	model	VERB
fis-5332	326	4	me	i	PRON
fis-5332	326	5	(	(	PUNCT
fis-5332	326	6	%	%	INTJ
fis-5332	326	7	)	)	PUNCT
fis-5332	326	8	ye	ye	PRON
fis-5332	326	9	model	model	VERB
fis-5332	326	10	me	i	PRON
fis-5332	326	11	(	(	PUNCT
fis-5332	326	12	%	%	INTJ
fis-5332	326	13	)	)	PUNCT
fis-5332	327	1	peng	peng	PROPN
fis-5332	327	2	model	model	VERB
fis-5332	327	3	me	i	PRON
fis-5332	327	4	(	(	PUNCT
fis-5332	327	5	%	%	INTJ
fis-5332	327	6	)	)	PUNCT
fis-5332	327	7	kelm	kelm	PROPN
fis-5332	327	8	model	model	NOUN
fis-5332	327	9	me	i	PRON
fis-5332	327	10	(	(	PUNCT
fis-5332	327	11	%	%	INTJ
fis-5332	327	12	)	)	PUNCT
fis-5332	328	1	svm	svm	PROPN
fis-5332	328	2	model	model	VERB
fis-5332	328	3	me	i	PRON
fis-5332	328	4	(	(	PUNCT
fis-5332	328	5	%	%	INTJ
fis-5332	328	6	)	)	PUNCT
fis-5332	328	7	rf	rf	NOUN
fis-5332	328	8	model	model	NOUN
fis-5332	328	9	me	i	PRON
fis-5332	328	10	(	(	PUNCT
fis-5332	328	11	%	%	INTJ
fis-5332	328	12	)	)	PUNCT
fis-5332	328	13	bp	bp	PROPN
fis-5332	328	14	model	model	VERB
fis-5332	328	15	me	i	PRON
fis-5332	328	16	(	(	PUNCT
fis-5332	328	17	%	%	INTJ
fis-5332	328	18	)	)	PUNCT
fis-5332	328	19	butt	butt	NOUN
fis-5332	328	20	joint	joint	ADJ
fis-5332	328	21	37.26	37.26	NUM
fis-5332	328	22	35.16	35.16	NUM
fis-5332	328	23	10.13	10.13	NUM
fis-5332	328	24	5.11	5.11	NUM
fis-5332	328	25	5.14	5.14	NUM
fis-5332	328	26	5.68	5.68	NUM
fis-5332	328	27	5.19	5.19	NUM
fis-5332	328	28	corner	corner	NOUN
fis-5332	328	29	joint	joint	NOUN
fis-5332	328	30	41.49	41.49	NUM
fis-5332	328	31	37.47	37.47	NUM
fis-5332	328	32	8.34	8.34	NUM
fis-5332	328	33	5.33	5.33	NUM
fis-5332	328	34	5.34	5.34	NUM
fis-5332	328	35	5.38	5.38	NUM
fis-5332	328	36	5.43	5.43	NUM
fis-5332	328	37	al-2024	al-2024	NOUN
fis-5332	328	38	-	-	PUNCT
fis-5332	328	39	t42	t42	NOUN
fis-5332	328	40	68.95	68.95	NUM
fis-5332	328	41	63.26	63.26	NUM
fis-5332	328	42	11.86	11.86	NUM
fis-5332	328	43	5.74	5.74	NUM
fis-5332	328	44	5.32	5.32	NUM
fis-5332	328	45	13.76	13.76	NUM
fis-5332	328	46	5.82	5.82	NUM
fis-5332	328	47	al-7070	al-7070	NOUN
fis-5332	328	48	-	-	PUNCT
fis-5332	328	49	t7451	t7451	PROPN
fis-5332	328	50	158.7	158.7	NUM
fis-5332	328	51	157.88	157.88	NUM
fis-5332	328	52	62.41	62.41	NUM
fis-5332	328	53	10.32	10.32	NUM
fis-5332	328	54	7.66	7.66	NUM
fis-5332	328	55	18.21	18.21	NUM
fis-5332	328	56	10.66	10.66	NUM
fis-5332	328	57	ti-6al-4v	ti-6al-4v	PROPN
fis-5332	328	58	93.81	93.81	NUM
fis-5332	328	59	82.79	82.79	NUM
fis-5332	328	60	31.23	31.23	NUM
fis-5332	328	61	7.03	7.03	NUM
fis-5332	328	62	6.91	6.91	NUM
fis-5332	328	63	12.71	12.71	NUM
fis-5332	328	64	9.55	9.55	NUM
fis-5332	328	65	table	table	NOUN
fis-5332	328	66	7	7	NUM
fis-5332	328	67	:	:	PUNCT
fis-5332	328	68	me	i	PRON
fis-5332	328	69	values	value	NOUN
fis-5332	328	70	of	of	ADP
fis-5332	328	71	machine	machine	NOUN
fis-5332	328	72	learning	learning	NOUN
fis-5332	328	73	models	model	NOUN
fis-5332	328	74	with	with	ADP
fis-5332	328	75	augmented	augment	VERB
fis-5332	328	76	data	datum	NOUN
fis-5332	328	77	on	on	ADP
fis-5332	328	78	the	the	DET
fis-5332	328	79	testing	testing	NOUN
fis-5332	328	80	set	set	NOUN
fis-5332	328	81	.	.	PUNCT
fis-5332	329	1	x.	x.	PROPN
fis-5332	329	2	cao	cao	PROPN
fis-5332	329	3	et	et	PROPN
fis-5332	329	4	alii	alii	PROPN
fis-5332	329	5	,	,	PUNCT
fis-5332	329	6	frattura	frattura	PROPN
fis-5332	329	7	ed	ed	PROPN
fis-5332	329	8	integrità	integrità	PROPN
fis-5332	329	9	strutturale	strutturale	PROPN
fis-5332	329	10	,	,	PUNCT
fis-5332	329	11	72	72	NUM
fis-5332	329	12	(	(	PUNCT
fis-5332	329	13	2025	2025	NUM
fis-5332	329	14	)	)	PUNCT
fis-5332	329	15	162	162	NUM
fis-5332	329	16	-	-	SYM
fis-5332	329	17	178	178	NUM
fis-5332	329	18	;	;	PUNCT
fis-5332	329	19	doi	doi	NOUN
fis-5332	329	20	:	:	PUNCT
fis-5332	329	21	10.3221	10.3221	NUM
fis-5332	329	22	/	/	SYM
fis-5332	329	23	igf	igf	PROPN
fis-5332	329	24	-	-	PUNCT
fis-5332	329	25	esis.72.12	esis.72.12	PROPN
fis-5332	329	26	176	176	NUM
fis-5332	329	27	as	as	SCONJ
fis-5332	329	28	can	can	AUX
fis-5332	329	29	be	be	AUX
fis-5332	329	30	seen	see	VERB
fis-5332	329	31	from	from	ADP
fis-5332	329	32	tab	tab	NOUN
fis-5332	329	33	.	.	PROPN
fis-5332	330	1	6	6	NUM
fis-5332	330	2	and	and	CCONJ
fis-5332	330	3	tab	tab	NOUN
fis-5332	330	4	.	.	PUNCT
fis-5332	330	5	7	7	NUM
fis-5332	330	6	,	,	PUNCT
fis-5332	330	7	the	the	DET
fis-5332	330	8	me	i	PRON
fis-5332	330	9	on	on	ADP
fis-5332	330	10	the	the	DET
fis-5332	330	11	five	five	NUM
fis-5332	330	12	-	-	ADJ
fis-5332	330	13	fold	fold	ADJ
fis-5332	330	14	cross	cross	ADJ
fis-5332	330	15	-	-	ADJ
fis-5332	330	16	validated	validated	ADJ
fis-5332	330	17	machine	machine	NOUN
fis-5332	330	18	learning	learning	NOUN
fis-5332	330	19	models	model	NOUN
fis-5332	330	20	with	with	ADP
fis-5332	330	21	augmented	augment	VERB
fis-5332	330	22	data	datum	NOUN
fis-5332	330	23	overall	overall	ADV
fis-5332	330	24	less	less	ADJ
fis-5332	330	25	than	than	ADP
fis-5332	330	26	10	10	NUM
fis-5332	330	27	%	%	NOUN
fis-5332	330	28	,	,	PUNCT
fis-5332	330	29	and	and	CCONJ
fis-5332	330	30	the	the	DET
fis-5332	330	31	errors	error	NOUN
fis-5332	330	32	are	be	AUX
fis-5332	330	33	greatly	greatly	ADV
fis-5332	330	34	reduced	reduce	VERB
fis-5332	330	35	.	.	PUNCT
fis-5332	331	1	and	and	CCONJ
fis-5332	331	2	the	the	DET
fis-5332	331	3	kelm	kelm	PROPN
fis-5332	331	4	and	and	CCONJ
fis-5332	331	5	svm	svm	ADJ
fis-5332	331	6	models	model	NOUN
fis-5332	331	7	have	have	VERB
fis-5332	331	8	better	well	ADJ
fis-5332	331	9	prediction	prediction	NOUN
fis-5332	331	10	results	result	NOUN
fis-5332	331	11	relative	relative	ADJ
fis-5332	331	12	to	to	ADP
fis-5332	331	13	the	the	DET
fis-5332	331	14	rf	rf	ADJ
fis-5332	331	15	and	and	CCONJ
fis-5332	331	16	bp	bp	PROPN
fis-5332	331	17	models	model	NOUN
fis-5332	331	18	.	.	PUNCT
fis-5332	332	1	the	the	DET
fis-5332	332	2	data	data	NOUN
fis-5332	332	3	-	-	PUNCT
fis-5332	332	4	augmented	augment	VERB
fis-5332	332	5	machine	machine	NOUN
fis-5332	332	6	learning	learning	NOUN
fis-5332	332	7	models	model	NOUN
fis-5332	332	8	are	be	AUX
fis-5332	332	9	still	still	ADV
fis-5332	332	10	more	more	ADV
fis-5332	332	11	advantaged	advantaged	ADJ
fis-5332	332	12	compared	compare	VERB
fis-5332	332	13	to	to	ADP
fis-5332	332	14	the	the	DET
fis-5332	332	15	traditional	traditional	ADJ
fis-5332	332	16	miner	miner	NOUN
fis-5332	332	17	,	,	PUNCT
fis-5332	332	18	ye	ye	PROPN
fis-5332	332	19	and	and	CCONJ
fis-5332	332	20	peng	peng	PROPN
fis-5332	332	21	models	model	NOUN
fis-5332	332	22	.	.	PUNCT
fis-5332	333	1	comparing	compare	VERB
fis-5332	333	2	with	with	ADP
fis-5332	333	3	tab	tab	NOUN
fis-5332	333	4	.	.	PUNCT
fis-5332	334	1	5	5	NUM
fis-5332	334	2	,	,	PUNCT
fis-5332	334	3	the	the	DET
fis-5332	334	4	me	me	PROPN
fis-5332	334	5	values	value	NOUN
fis-5332	334	6	in	in	ADP
fis-5332	334	7	tab	tab	NOUN
fis-5332	334	8	.	.	PUNCT
fis-5332	335	1	7	7	NUM
fis-5332	335	2	are	be	AUX
fis-5332	335	3	further	far	ADV
fis-5332	335	4	reduced	reduce	VERB
fis-5332	335	5	in	in	ADP
fis-5332	335	6	general	general	ADJ
fis-5332	335	7	.	.	PUNCT
fis-5332	336	1	the	the	DET
fis-5332	336	2	five	five	NUM
fis-5332	336	3	-	-	ADJ
fis-5332	336	4	fold	fold	ADJ
fis-5332	336	5	cross	cross	ADJ
fis-5332	336	6	-	-	ADJ
fis-5332	336	7	validation	validation	NOUN
fis-5332	336	8	reduces	reduce	VERB
fis-5332	336	9	the	the	DET
fis-5332	336	10	randomness	randomness	NOUN
fis-5332	336	11	of	of	ADP
fis-5332	336	12	model	model	NOUN
fis-5332	336	13	performance	performance	NOUN
fis-5332	336	14	evaluation	evaluation	NOUN
fis-5332	336	15	and	and	CCONJ
fis-5332	336	16	provides	provide	VERB
fis-5332	336	17	more	more	ADV
fis-5332	336	18	reliable	reliable	ADJ
fis-5332	336	19	performance	performance	NOUN
fis-5332	336	20	estimates	estimate	NOUN
fis-5332	336	21	.	.	PUNCT
fis-5332	337	1	the	the	DET
fis-5332	337	2	results	result	NOUN
fis-5332	337	3	show	show	VERB
fis-5332	337	4	the	the	DET
fis-5332	337	5	stability	stability	NOUN
fis-5332	337	6	and	and	CCONJ
fis-5332	337	7	generalization	generalization	NOUN
fis-5332	337	8	ability	ability	NOUN
fis-5332	337	9	of	of	ADP
fis-5332	337	10	data	data	NOUN
fis-5332	337	11	-	-	PUNCT
fis-5332	337	12	augmented	augment	VERB
fis-5332	337	13	machine	machine	NOUN
fis-5332	337	14	learning	learning	NOUN
fis-5332	337	15	models	model	NOUN
fis-5332	337	16	.	.	PUNCT
fis-5332	338	1	conclusion	conclusion	NOUN
fis-5332	338	2	imited	imite	VERB
fis-5332	338	3	fatigue	fatigue	NOUN
fis-5332	338	4	data	datum	NOUN
fis-5332	338	5	frequently	frequently	ADV
fis-5332	338	6	impacts	impact	VERB
fis-5332	338	7	the	the	DET
fis-5332	338	8	precision	precision	NOUN
fis-5332	338	9	and	and	CCONJ
fis-5332	338	10	universal	universal	ADJ
fis-5332	338	11	applicability	applicability	NOUN
fis-5332	338	12	of	of	ADP
fis-5332	338	13	machine	machine	NOUN
fis-5332	338	14	learning	learning	NOUN
fis-5332	338	15	models	model	NOUN
fis-5332	338	16	for	for	ADP
fis-5332	338	17	life	life	NOUN
fis-5332	338	18	prediction	prediction	NOUN
fis-5332	338	19	.	.	PUNCT
fis-5332	339	1	to	to	PART
fis-5332	339	2	tackle	tackle	VERB
fis-5332	339	3	this	this	DET
fis-5332	339	4	challenge	challenge	NOUN
fis-5332	339	5	,	,	PUNCT
fis-5332	339	6	this	this	DET
fis-5332	339	7	work	work	NOUN
fis-5332	339	8	introduces	introduce	VERB
fis-5332	339	9	a	a	DET
fis-5332	339	10	physics	physics	NOUN
fis-5332	339	11	-	-	PUNCT
fis-5332	339	12	based	base	VERB
fis-5332	339	13	generative	generative	ADJ
fis-5332	339	14	adversarial	adversarial	ADJ
fis-5332	339	15	networks	network	NOUN
fis-5332	339	16	(	(	PUNCT
fis-5332	339	17	gan	gan	NOUN
fis-5332	339	18	)	)	PUNCT
fis-5332	339	19	model	model	NOUN
fis-5332	339	20	aimed	aim	VERB
fis-5332	339	21	at	at	ADP
fis-5332	339	22	generating	generate	VERB
fis-5332	339	23	fatigue	fatigue	NOUN
fis-5332	339	24	data	datum	NOUN
fis-5332	339	25	under	under	ADP
fis-5332	339	26	two	two	NUM
fis-5332	339	27	-	-	PUNCT
fis-5332	339	28	step	step	NOUN
fis-5332	339	29	loading	loading	NOUN
fis-5332	339	30	.	.	PUNCT
fis-5332	340	1	the	the	DET
fis-5332	340	2	generated	generate	VERB
fis-5332	340	3	data	datum	NOUN
fis-5332	340	4	served	serve	VERB
fis-5332	340	5	as	as	ADP
fis-5332	340	6	input	input	NOUN
fis-5332	340	7	for	for	ADP
fis-5332	340	8	machine	machine	NOUN
fis-5332	340	9	learning	learning	NOUN
fis-5332	340	10	algorithms	algorithm	NOUN
fis-5332	340	11	,	,	PUNCT
fis-5332	340	12	enabling	enable	VERB
fis-5332	340	13	predictions	prediction	NOUN
fis-5332	340	14	of	of	ADP
fis-5332	340	15	the	the	DET
fis-5332	340	16	fatigue	fatigue	NOUN
fis-5332	340	17	life	life	NOUN
fis-5332	340	18	of	of	ADP
fis-5332	340	19	two	two	NUM
fis-5332	340	20	types	type	NOUN
fis-5332	340	21	of	of	ADP
fis-5332	340	22	welded	weld	VERB
fis-5332	340	23	joints	joint	NOUN
fis-5332	340	24	and	and	CCONJ
fis-5332	340	25	three	three	NUM
fis-5332	340	26	welded	weld	VERB
fis-5332	340	27	materials	material	NOUN
fis-5332	340	28	under	under	ADP
fis-5332	340	29	variable	variable	ADJ
fis-5332	340	30	amplitude	amplitude	NOUN
fis-5332	340	31	loading	loading	NOUN
fis-5332	340	32	conditions	condition	NOUN
fis-5332	340	33	.	.	PUNCT
fis-5332	341	1	the	the	DET
fis-5332	341	2	model	model	NOUN
fis-5332	341	3	combines	combine	VERB
fis-5332	341	4	a	a	DET
fis-5332	341	5	traditional	traditional	ADJ
fis-5332	341	6	model	model	NOUN
fis-5332	341	7	with	with	ADP
fis-5332	341	8	machine	machine	NOUN
fis-5332	341	9	learning	learning	NOUN
fis-5332	341	10	models	model	NOUN
fis-5332	341	11	to	to	PART
fis-5332	341	12	better	well	ADV
fis-5332	341	13	characterize	characterize	VERB
fis-5332	341	14	fatigue	fatigue	NOUN
fis-5332	341	15	behavior	behavior	NOUN
fis-5332	341	16	relative	relative	ADJ
fis-5332	341	17	to	to	ADP
fis-5332	341	18	a	a	DET
fis-5332	341	19	simple	simple	ADJ
fis-5332	341	20	gan	gan	ADJ
fis-5332	341	21	model	model	NOUN
fis-5332	341	22	.	.	PUNCT
fis-5332	342	1	the	the	DET
fis-5332	342	2	life	life	NOUN
fis-5332	342	3	prediction	prediction	NOUN
fis-5332	342	4	peng	peng	PROPN
fis-5332	342	5	model	model	NOUN
fis-5332	342	6	is	be	AUX
fis-5332	342	7	integrated	integrate	VERB
fis-5332	342	8	within	within	ADP
fis-5332	342	9	the	the	DET
fis-5332	342	10	loss	loss	NOUN
fis-5332	342	11	function	function	NOUN
fis-5332	342	12	of	of	ADP
fis-5332	342	13	conditional	conditional	ADJ
fis-5332	342	14	tabular	tabular	NOUN
fis-5332	342	15	gan	gan	PROPN
fis-5332	342	16	(	(	PUNCT
fis-5332	342	17	ctgan	ctgan	PROPN
fis-5332	342	18	)	)	PUNCT
fis-5332	342	19	to	to	PART
fis-5332	342	20	guarantee	guarantee	VERB
fis-5332	342	21	that	that	SCONJ
fis-5332	342	22	the	the	DET
fis-5332	342	23	generated	generate	VERB
fis-5332	342	24	data	datum	NOUN
fis-5332	342	25	conforms	conform	VERB
fis-5332	342	26	to	to	ADP
fis-5332	342	27	the	the	DET
fis-5332	342	28	physical	physical	ADJ
fis-5332	342	29	relationships	relationship	NOUN
fis-5332	342	30	between	between	ADP
fis-5332	342	31	stress	stress	NOUN
fis-5332	342	32	and	and	CCONJ
fis-5332	342	33	life	life	NOUN
fis-5332	342	34	.	.	PUNCT
fis-5332	343	1	the	the	DET
fis-5332	343	2	final	final	ADJ
fis-5332	343	3	valid	valid	ADJ
fis-5332	343	4	data	datum	NOUN
fis-5332	343	5	that	that	PRON
fis-5332	343	6	aligns	align	VERB
fis-5332	343	7	with	with	ADP
fis-5332	343	8	the	the	DET
fis-5332	343	9	characteristics	characteristic	NOUN
fis-5332	343	10	of	of	ADP
fis-5332	343	11	the	the	DET
fis-5332	343	12	original	original	ADJ
fis-5332	343	13	dataset	dataset	NOUN
fis-5332	343	14	is	be	AUX
fis-5332	343	15	obtained	obtain	VERB
fis-5332	343	16	through	through	ADP
fis-5332	343	17	a	a	DET
fis-5332	343	18	careful	careful	ADJ
fis-5332	343	19	selection	selection	NOUN
fis-5332	343	20	process	process	NOUN
fis-5332	343	21	.	.	PUNCT
fis-5332	344	1	the	the	DET
fis-5332	344	2	peng	peng	PROPN
fis-5332	344	3	model	model	NOUN
fis-5332	344	4	can	can	AUX
fis-5332	344	5	consider	consider	VERB
fis-5332	344	6	the	the	DET
fis-5332	344	7	load	load	NOUN
fis-5332	344	8	sequence	sequence	NOUN
fis-5332	344	9	and	and	CCONJ
fis-5332	344	10	the	the	DET
fis-5332	344	11	interaction	interaction	NOUN
fis-5332	344	12	between	between	ADP
fis-5332	344	13	loads	load	NOUN
fis-5332	344	14	,	,	PUNCT
fis-5332	344	15	which	which	PRON
fis-5332	344	16	makes	make	VERB
fis-5332	344	17	generated	generate	VERB
fis-5332	344	18	data	datum	NOUN
fis-5332	344	19	meet	meet	VERB
fis-5332	344	20	the	the	DET
fis-5332	344	21	characteristics	characteristic	NOUN
fis-5332	344	22	of	of	ADP
fis-5332	344	23	fatigue	fatigue	NOUN
fis-5332	344	24	data	datum	NOUN
fis-5332	344	25	under	under	ADP
fis-5332	344	26	two	two	NUM
fis-5332	344	27	-	-	PUNCT
fis-5332	344	28	step	step	NOUN
fis-5332	344	29	loading	loading	NOUN
fis-5332	344	30	.	.	PUNCT
fis-5332	345	1	meanwhile	meanwhile	ADV
fis-5332	345	2	,	,	PUNCT
fis-5332	345	3	it	it	PRON
fis-5332	345	4	effectively	effectively	ADV
fis-5332	345	5	solves	solve	VERB
fis-5332	345	6	the	the	DET
fis-5332	345	7	limitation	limitation	NOUN
fis-5332	345	8	that	that	PRON
fis-5332	345	9	machine	machine	NOUN
fis-5332	345	10	learning	learning	NOUN
fis-5332	345	11	models	model	NOUN
fis-5332	345	12	rely	rely	VERB
fis-5332	345	13	on	on	ADP
fis-5332	345	14	large	large	ADJ
fis-5332	345	15	samples	sample	NOUN
fis-5332	345	16	.	.	PUNCT
fis-5332	346	1	the	the	DET
fis-5332	346	2	experimental	experimental	ADJ
fis-5332	346	3	findings	finding	NOUN
fis-5332	346	4	indicate	indicate	VERB
fis-5332	346	5	that	that	SCONJ
fis-5332	346	6	the	the	DET
fis-5332	346	7	generated	generate	VERB
fis-5332	346	8	data	datum	NOUN
fis-5332	346	9	notably	notably	ADV
fis-5332	346	10	augment	augment	VERB
fis-5332	346	11	the	the	DET
fis-5332	346	12	models	model	NOUN
fis-5332	346	13	'	'	PART
fis-5332	346	14	predictive	predictive	ADJ
fis-5332	346	15	accuracy	accuracy	NOUN
fis-5332	346	16	.	.	PUNCT
fis-5332	347	1	the	the	DET
fis-5332	347	2	experiments	experiment	NOUN
fis-5332	347	3	are	be	AUX
fis-5332	347	4	validated	validate	VERB
fis-5332	347	5	on	on	ADP
fis-5332	347	6	two	two	NUM
fis-5332	347	7	welded	weld	VERB
fis-5332	347	8	joints	joint	NOUN
fis-5332	347	9	and	and	CCONJ
fis-5332	347	10	three	three	NUM
fis-5332	347	11	welded	weld	VERB
fis-5332	347	12	materials	material	NOUN
fis-5332	347	13	.	.	PUNCT
fis-5332	348	1	the	the	DET
fis-5332	348	2	prediction	prediction	NOUN
fis-5332	348	3	indicators	indicator	NOUN
fis-5332	348	4	absolute	absolute	ADJ
fis-5332	348	5	percentage	percentage	NOUN
fis-5332	348	6	error	error	NOUN
fis-5332	348	7	error	error	NOUN
fis-5332	348	8	and	and	CCONJ
fis-5332	348	9	mean	mean	VERB
fis-5332	348	10	absolute	absolute	ADJ
fis-5332	348	11	percentage	percentage	NOUN
fis-5332	348	12	error	error	NOUN
fis-5332	348	13	me	i	PRON
fis-5332	348	14	decreased	decrease	VERB
fis-5332	348	15	obviously	obviously	ADV
fis-5332	348	16	for	for	ADP
fis-5332	348	17	each	each	DET
fis-5332	348	18	material	material	NOUN
fis-5332	348	19	.	.	PUNCT
fis-5332	349	1	the	the	DET
fis-5332	349	2	me	me	PROPN
fis-5332	349	3	values	value	NOUN
fis-5332	349	4	of	of	ADP
fis-5332	349	5	both	both	DET
fis-5332	349	6	welded	weld	VERB
fis-5332	349	7	joints	joint	NOUN
fis-5332	349	8	decreased	decrease	VERB
fis-5332	349	9	to	to	ADP
fis-5332	349	10	less	less	ADJ
fis-5332	349	11	than	than	ADP
fis-5332	349	12	10	10	NUM
fis-5332	349	13	%	%	NOUN
fis-5332	349	14	,	,	PUNCT
fis-5332	349	15	and	and	CCONJ
fis-5332	349	16	the	the	DET
fis-5332	349	17	me	me	PROPN
fis-5332	349	18	values	value	NOUN
fis-5332	349	19	of	of	ADP
fis-5332	349	20	titanium	titanium	NOUN
fis-5332	349	21	alloy	alloy	NOUN
fis-5332	349	22	materials	material	NOUN
fis-5332	349	23	also	also	ADV
fis-5332	349	24	decreased	decrease	VERB
fis-5332	349	25	by	by	ADP
fis-5332	349	26	almost	almost	ADV
fis-5332	349	27	10	10	NUM
fis-5332	349	28	%	%	NOUN
fis-5332	349	29	on	on	ADP
fis-5332	349	30	average	average	ADJ
fis-5332	349	31	.	.	PUNCT
fis-5332	350	1	the	the	DET
fis-5332	350	2	results	result	NOUN
fis-5332	350	3	show	show	VERB
fis-5332	350	4	that	that	SCONJ
fis-5332	350	5	it	it	PRON
fis-5332	350	6	is	be	AUX
fis-5332	350	7	not	not	PART
fis-5332	350	8	only	only	ADV
fis-5332	350	9	suitable	suitable	ADJ
fis-5332	350	10	for	for	ADP
fis-5332	350	11	aluminum	aluminum	NOUN
fis-5332	350	12	alloy	alloy	NOUN
fis-5332	350	13	materials	material	NOUN
fis-5332	350	14	,	,	PUNCT
fis-5332	350	15	but	but	CCONJ
fis-5332	350	16	also	also	ADV
fis-5332	350	17	apparently	apparently	ADV
fis-5332	350	18	effective	effective	ADJ
fis-5332	350	19	for	for	ADP
fis-5332	350	20	titanium	titanium	NOUN
fis-5332	350	21	alloy	alloy	NOUN
fis-5332	350	22	materials	material	NOUN
fis-5332	350	23	.	.	PUNCT
fis-5332	351	1	in	in	ADP
fis-5332	351	2	comparison	comparison	NOUN
fis-5332	351	3	to	to	ADP
fis-5332	351	4	the	the	DET
fis-5332	351	5	traditional	traditional	ADJ
fis-5332	351	6	miner	miner	NOUN
fis-5332	351	7	model	model	NOUN
fis-5332	351	8	,	,	PUNCT
fis-5332	351	9	ye	ye	NOUN
fis-5332	351	10	model	model	NOUN
fis-5332	351	11	,	,	PUNCT
fis-5332	351	12	and	and	CCONJ
fis-5332	351	13	peng	peng	PROPN
fis-5332	351	14	model	model	PROPN
fis-5332	351	15	,	,	PUNCT
fis-5332	351	16	the	the	DET
fis-5332	351	17	augmented	augment	VERB
fis-5332	351	18	machine	machine	NOUN
fis-5332	351	19	learning	learning	NOUN
fis-5332	351	20	model	model	NOUN
fis-5332	351	21	exhibits	exhibit	VERB
fis-5332	351	22	improved	improved	ADJ
fis-5332	351	23	accuracy	accuracy	NOUN
fis-5332	351	24	and	and	CCONJ
fis-5332	351	25	stability	stability	NOUN
fis-5332	351	26	.	.	PUNCT
fis-5332	352	1	and	and	CCONJ
fis-5332	352	2	the	the	DET
fis-5332	352	3	accuracy	accuracy	NOUN
fis-5332	352	4	of	of	ADP
fis-5332	352	5	model	model	NOUN
fis-5332	352	6	performance	performance	NOUN
fis-5332	352	7	evaluation	evaluation	NOUN
fis-5332	352	8	was	be	AUX
fis-5332	352	9	improved	improve	VERB
fis-5332	352	10	using	use	VERB
fis-5332	352	11	five	five	NUM
fis-5332	352	12	-	-	ADJ
fis-5332	352	13	fold	fold	ADJ
fis-5332	352	14	cross	cross	NOUN
fis-5332	352	15	-	-	NOUN
fis-5332	352	16	validation	validation	NOUN
fis-5332	352	17	.	.	PUNCT
fis-5332	353	1	this	this	DET
fis-5332	353	2	model	model	NOUN
fis-5332	353	3	markedly	markedly	ADV
fis-5332	353	4	improves	improve	VERB
fis-5332	353	5	the	the	DET
fis-5332	353	6	precision	precision	NOUN
fis-5332	353	7	of	of	ADP
fis-5332	353	8	fatigue	fatigue	NOUN
fis-5332	353	9	life	life	NOUN
fis-5332	353	10	prediction	prediction	NOUN
fis-5332	353	11	and	and	CCONJ
fis-5332	353	12	is	be	AUX
fis-5332	353	13	highly	highly	ADV
fis-5332	353	14	appropriate	appropriate	ADJ
fis-5332	353	15	for	for	ADP
fis-5332	353	16	augmenting	augment	VERB
fis-5332	353	17	fatigue	fatigue	NOUN
fis-5332	353	18	data	datum	NOUN
fis-5332	353	19	under	under	ADP
fis-5332	353	20	two	two	NUM
fis-5332	353	21	-	-	PUNCT
fis-5332	353	22	step	step	NOUN
fis-5332	353	23	loading	loading	NOUN
fis-5332	353	24	conditions	condition	NOUN
fis-5332	353	25	.	.	PUNCT
fis-5332	354	1	the	the	DET
fis-5332	354	2	data	datum	NOUN
fis-5332	354	3	produced	produce	VERB
fis-5332	354	4	by	by	ADP
fis-5332	354	5	ctgan	ctgan	NOUN
fis-5332	354	6	effectively	effectively	ADV
fis-5332	354	7	addresses	address	VERB
fis-5332	354	8	the	the	DET
fis-5332	354	9	challenge	challenge	NOUN
fis-5332	354	10	of	of	ADP
fis-5332	354	11	limited	limited	ADJ
fis-5332	354	12	fatigue	fatigue	NOUN
fis-5332	354	13	samples	sample	NOUN
fis-5332	354	14	in	in	ADP
fis-5332	354	15	machine	machine	NOUN
fis-5332	354	16	learning	learn	VERB
fis-5332	354	17	applications	application	NOUN
fis-5332	354	18	under	under	ADP
fis-5332	354	19	variable	variable	ADJ
fis-5332	354	20	amplitude	amplitude	NOUN
fis-5332	354	21	loading	loading	NOUN
fis-5332	354	22	,	,	PUNCT
fis-5332	354	23	all	all	PRON
fis-5332	354	24	while	while	SCONJ
fis-5332	354	25	maintaining	maintain	VERB
fis-5332	354	26	clear	clear	ADJ
fis-5332	354	27	physical	physical	ADJ
fis-5332	354	28	significance	significance	NOUN
fis-5332	354	29	.	.	PUNCT
fis-5332	355	1	using	use	VERB
fis-5332	355	2	generated	generate	VERB
fis-5332	355	3	data	datum	NOUN
fis-5332	355	4	as	as	ADP
fis-5332	355	5	input	input	NOUN
fis-5332	355	6	for	for	ADP
fis-5332	355	7	machine	machine	NOUN
fis-5332	355	8	learning	learn	VERB
fis-5332	355	9	to	to	PART
fis-5332	355	10	predict	predict	VERB
fis-5332	355	11	fatigue	fatigue	NOUN
fis-5332	355	12	life	life	NOUN
fis-5332	355	13	holds	hold	VERB
fis-5332	355	14	significant	significant	ADJ
fis-5332	355	15	potential	potential	NOUN
fis-5332	355	16	in	in	ADP
fis-5332	355	17	engineering	engineering	NOUN
fis-5332	355	18	,	,	PUNCT
fis-5332	355	19	as	as	SCONJ
fis-5332	355	20	it	it	PRON
fis-5332	355	21	improves	improve	VERB
fis-5332	355	22	accuracy	accuracy	NOUN
fis-5332	355	23	and	and	CCONJ
fis-5332	355	24	addresses	address	VERB
fis-5332	355	25	the	the	DET
fis-5332	355	26	challenge	challenge	NOUN
fis-5332	355	27	of	of	ADP
fis-5332	355	28	data	datum	NOUN
fis-5332	355	29	scarcity	scarcity	NOUN
fis-5332	355	30	.	.	PUNCT
fis-5332	356	1	future	future	ADJ
fis-5332	356	2	studies	study	NOUN
fis-5332	356	3	ought	ought	AUX
fis-5332	356	4	to	to	PART
fis-5332	356	5	concentrate	concentrate	VERB
fis-5332	356	6	on	on	ADP
fis-5332	356	7	comprehensive	comprehensive	ADJ
fis-5332	356	8	evaluations	evaluation	NOUN
fis-5332	356	9	and	and	CCONJ
fis-5332	356	10	assessments	assessment	NOUN
fis-5332	356	11	of	of	ADP
fis-5332	356	12	the	the	DET
fis-5332	356	13	reliability	reliability	NOUN
fis-5332	356	14	of	of	ADP
fis-5332	356	15	fatigue	fatigue	NOUN
fis-5332	356	16	life	life	NOUN
fis-5332	356	17	predictions	prediction	NOUN
fis-5332	356	18	for	for	ADP
fis-5332	356	19	welded	weld	VERB
fis-5332	356	20	materials	material	NOUN
fis-5332	356	21	subjected	subject	VERB
fis-5332	356	22	to	to	ADP
fis-5332	356	23	multistage	multistage	NOUN
fis-5332	356	24	loading	loading	NOUN
fis-5332	356	25	,	,	PUNCT
fis-5332	356	26	to	to	PART
fis-5332	356	27	bolster	bolster	VERB
fis-5332	356	28	the	the	DET
fis-5332	356	29	robustness	robustness	NOUN
fis-5332	356	30	and	and	CCONJ
fis-5332	356	31	applicability	applicability	NOUN
fis-5332	356	32	of	of	ADP
fis-5332	356	33	models	model	NOUN
fis-5332	356	34	.	.	PUNCT
fis-5332	357	1	acknowledgments	acknowledgment	NOUN
fis-5332	357	2	his	his	PRON
fis-5332	357	3	research	research	NOUN
fis-5332	357	4	was	be	AUX
fis-5332	357	5	supported	support	VERB
fis-5332	357	6	by	by	ADP
fis-5332	357	7	the	the	DET
fis-5332	357	8	national	national	PROPN
fis-5332	357	9	science	science	PROPN
fis-5332	357	10	foundation	foundation	PROPN
fis-5332	357	11	of	of	ADP
fis-5332	357	12	china	china	PROPN
fis-5332	357	13	under	under	ADP
fis-5332	357	14	grant	grant	PROPN
fis-5332	357	15	(	(	PUNCT
fis-5332	357	16	52005071	52005071	NUM
fis-5332	357	17	)	)	PUNCT
fis-5332	357	18	and	and	CCONJ
fis-5332	357	19	liaoning	liaoning	PROPN
fis-5332	357	20	provincial	provincial	ADJ
fis-5332	357	21	educational	educational	ADJ
fis-5332	357	22	department	department	NOUN
fis-5332	357	23	project	project	NOUN
fis-5332	357	24	under	under	ADP
fis-5332	357	25	grant	grant	NOUN
fis-5332	357	26	(	(	PUNCT
fis-5332	357	27	2023jh2/101300236	2023jh2/101300236	NUM
fis-5332	357	28	)	)	PUNCT
fis-5332	357	29	.	.	PUNCT
fis-5332	358	1	references	reference	NOUN
fis-5332	358	2	[	[	X
fis-5332	358	3	1	1	NUM
fis-5332	358	4	]	]	PUNCT
fis-5332	358	5	schijve	schijve	NOUN
fis-5332	358	6	,	,	PUNCT
fis-5332	358	7	j.	j.	PROPN
fis-5332	358	8	(	(	PUNCT
fis-5332	358	9	2003	2003	NUM
fis-5332	358	10	)	)	PUNCT
fis-5332	358	11	.	.	PUNCT
fis-5332	359	1	fatigue	fatigue	NOUN
fis-5332	359	2	of	of	ADP
fis-5332	359	3	structures	structure	NOUN
fis-5332	359	4	and	and	CCONJ
fis-5332	359	5	materials	material	NOUN
fis-5332	359	6	in	in	ADP
fis-5332	359	7	the	the	DET
fis-5332	359	8	20th	20th	ADJ
fis-5332	359	9	century	century	NOUN
fis-5332	359	10	and	and	CCONJ
fis-5332	359	11	the	the	DET
fis-5332	359	12	state	state	NOUN
fis-5332	359	13	of	of	ADP
fis-5332	359	14	the	the	DET
fis-5332	359	15	art	art	NOUN
fis-5332	359	16	.	.	PUNCT
fis-5332	360	1	international	international	ADJ
fis-5332	360	2	journal	journal	NOUN
fis-5332	360	3	of	of	ADP
fis-5332	360	4	fatigue	fatigue	NOUN
fis-5332	360	5	,	,	PUNCT
fis-5332	360	6	25(8	25(8	NUM
fis-5332	360	7	)	)	PUNCT
fis-5332	360	8	,	,	PUNCT
fis-5332	360	9	pp	pp	PROPN
fis-5332	360	10	.	.	PUNCT
fis-5332	361	1	679	679	NUM
fis-5332	361	2	-	-	SYM
fis-5332	361	3	702	702	NUM
fis-5332	361	4	.	.	PUNCT
fis-5332	361	5	doi	doi	NOUN
fis-5332	361	6	:	:	PUNCT
fis-5332	361	7	10.1016	10.1016	NUM
fis-5332	361	8	/	/	SYM
fis-5332	361	9	s0142	s0142	PROPN
fis-5332	361	10	-	-	PUNCT
fis-5332	361	11	1123(03)00051	1123(03)00051	NUM
fis-5332	361	12	-	-	PUNCT
fis-5332	361	13	3	3	NUM
fis-5332	361	14	.	.	PUNCT
fis-5332	362	1	[	[	X
fis-5332	362	2	2	2	NUM
fis-5332	362	3	]	]	X
fis-5332	362	4	gan	gan	PROPN
fis-5332	362	5	,	,	PUNCT
fis-5332	362	6	l.	l.	PROPN
fis-5332	362	7	,	,	PUNCT
fis-5332	362	8	wu	wu	PROPN
fis-5332	362	9	,	,	PUNCT
fis-5332	362	10	h.	h.	PROPN
fis-5332	362	11	,	,	PUNCT
fis-5332	362	12	and	and	CCONJ
fis-5332	362	13	zhong	zhong	PROPN
fis-5332	362	14	,	,	PUNCT
fis-5332	362	15	z.	z.	PROPN
fis-5332	362	16	(	(	PUNCT
fis-5332	362	17	2023	2023	NUM
fis-5332	362	18	)	)	PUNCT
fis-5332	362	19	.	.	PUNCT
fis-5332	363	1	estimation	estimation	NOUN
fis-5332	363	2	of	of	ADP
fis-5332	363	3	remaining	remain	VERB
fis-5332	363	4	fatigue	fatigue	NOUN
fis-5332	363	5	life	life	NOUN
fis-5332	363	6	with	with	ADP
fis-5332	363	7	an	an	DET
fis-5332	363	8	energy	energy	NOUN
fis-5332	363	9	-	-	PUNCT
fis-5332	363	10	based	base	VERB
fis-5332	363	11	model	model	NOUN
fis-5332	363	12	considering	consider	VERB
fis-5332	363	13	the	the	DET
fis-5332	363	14	effects	effect	NOUN
fis-5332	363	15	of	of	ADP
fis-5332	363	16	loading	loading	NOUN
fis-5332	363	17	sequence	sequence	NOUN
fis-5332	363	18	and	and	CCONJ
fis-5332	363	19	load	load	NOUN
fis-5332	363	20	interaction	interaction	NOUN
fis-5332	363	21	.	.	PUNCT
fis-5332	364	1	international	international	ADJ
fis-5332	364	2	journal	journal	NOUN
fis-5332	364	3	of	of	ADP
fis-5332	364	4	damage	damage	NOUN
fis-5332	364	5	mechanics	mechanic	NOUN
fis-5332	364	6	,	,	PUNCT
fis-5332	364	7	32(3	32(3	NUM
fis-5332	364	8	)	)	PUNCT
fis-5332	364	9	,	,	PUNCT
fis-5332	364	10	pp	pp	ADP
fis-5332	364	11	.	.	PUNCT
fis-5332	365	1	340	340	NUM
fis-5332	365	2	-	-	SYM
fis-5332	365	3	361	361	NUM
fis-5332	365	4	.	.	PUNCT
fis-5332	366	1	doi	doi	NOUN
fis-5332	366	2	:	:	PUNCT
fis-5332	366	3	10.1177/10567895221120286	10.1177/10567895221120286	NUM
fis-5332	366	4	l	l	NOUN
fis-5332	366	5	t	t	NOUN
fis-5332	366	6	x.	x.	PROPN
fis-5332	366	7	cao	cao	PROPN
fis-5332	366	8	et	et	PROPN
fis-5332	366	9	alii	alii	PROPN
fis-5332	366	10	,	,	PUNCT
fis-5332	366	11	frattura	frattura	PROPN
fis-5332	366	12	ed	ed	PROPN
fis-5332	366	13	integrità	integrità	PROPN
fis-5332	366	14	strutturale	strutturale	PROPN
fis-5332	366	15	,	,	PUNCT
fis-5332	366	16	72	72	NUM
fis-5332	366	17	(	(	PUNCT
fis-5332	366	18	2025	2025	NUM
fis-5332	366	19	)	)	PUNCT
fis-5332	366	20	162	162	NUM
fis-5332	366	21	-	-	SYM
fis-5332	366	22	178	178	NUM
fis-5332	366	23	;	;	PUNCT
fis-5332	366	24	doi	doi	NOUN
fis-5332	366	25	:	:	PUNCT
fis-5332	366	26	10.3221	10.3221	NUM
fis-5332	366	27	/	/	SYM
fis-5332	366	28	igf	igf	PROPN
fis-5332	366	29	-	-	PUNCT
fis-5332	366	30	esis.72.12	esis.72.12	PROPN
fis-5332	366	31	177	177	NUM
fis-5332	366	32	[	[	X
fis-5332	366	33	3	3	NUM
fis-5332	366	34	]	]	X
fis-5332	366	35	horňas	horňas	PROPN
fis-5332	366	36	,	,	PUNCT
fis-5332	366	37	j.	j.	PROPN
fis-5332	366	38	,	,	PUNCT
fis-5332	366	39	běhal	běhal	PROPN
fis-5332	366	40	,	,	PUNCT
fis-5332	366	41	j.	j.	PROPN
fis-5332	366	42	,	,	PUNCT
fis-5332	366	43	homola	homola	PROPN
fis-5332	366	44	,	,	PUNCT
fis-5332	366	45	p.	p.	NOUN
fis-5332	366	46	,	,	PUNCT
fis-5332	366	47	senck	senck	NOUN
fis-5332	366	48	,	,	PUNCT
fis-5332	366	49	s.	s.	PROPN
fis-5332	366	50	,	,	PUNCT
fis-5332	366	51	holzleitner	holzleitner	NOUN
fis-5332	366	52	,	,	PUNCT
fis-5332	366	53	m.	m.	NOUN
fis-5332	366	54	,	,	PUNCT
fis-5332	366	55	godja	godja	PROPN
fis-5332	366	56	,	,	PUNCT
fis-5332	366	57	n.	n.	NOUN
fis-5332	366	58	,	,	PUNCT
fis-5332	366	59	pásztor	pásztor	NOUN
fis-5332	366	60	,	,	PUNCT
fis-5332	366	61	z.	z.	PROPN
fis-5332	366	62	,	,	PUNCT
fis-5332	366	63	hegedüs	hegedüs	PROPN
fis-5332	366	64	,	,	PUNCT
fis-5332	366	65	b.	b.	PROPN
fis-5332	366	66	,	,	PUNCT
fis-5332	366	67	doubrava	doubrava	PROPN
fis-5332	366	68	,	,	PUNCT
fis-5332	366	69	r.	r.	PROPN
fis-5332	366	70	,	,	PUNCT
fis-5332	366	71	růž	růž	PROPN
fis-5332	366	72	ek	ek	PROPN
fis-5332	366	73	,	,	PUNCT
fis-5332	366	74	r.	r.	PROPN
fis-5332	366	75	,	,	PUNCT
fis-5332	366	76	and	and	CCONJ
fis-5332	366	77	petrusová	petrusová	ADJ
fis-5332	366	78	,	,	PUNCT
fis-5332	366	79	l.	l.	PROPN
fis-5332	366	80	(	(	PUNCT
fis-5332	366	81	2023	2023	NUM
fis-5332	366	82	)	)	PUNCT
fis-5332	366	83	.	.	PUNCT
fis-5332	367	1	modelling	model	VERB
fis-5332	367	2	fatigue	fatigue	NOUN
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fis-5332	367	6	additively	additively	ADV
fis-5332	367	7	manufactured	manufacture	VERB
fis-5332	367	8	ti-6al-4v	ti-6al-4v	NOUN
fis-5332	367	9	samples	sample	NOUN
fis-5332	367	10	using	use	VERB
fis-5332	367	11	machine	machine	NOUN
fis-5332	367	12	learning	learning	NOUN
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fis-5332	367	14	.	.	PUNCT
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fis-5332	368	2	journal	journal	PROPN
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fis-5332	368	7	,	,	PUNCT
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fis-5332	368	9	.	.	PUNCT
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fis-5332	369	2	:	:	PUNCT
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fis-5332	369	4	/	/	SYM
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fis-5332	369	6	.	.	PUNCT
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fis-5332	370	3	]	]	X
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fis-5332	370	5	,	,	PUNCT
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fis-5332	370	10	)	)	PUNCT
fis-5332	370	11	.	.	PUNCT
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fis-5332	371	5	.	.	PUNCT
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fis-5332	372	6	)	)	PUNCT
fis-5332	372	7	,	,	PUNCT
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fis-5332	372	9	.	.	PUNCT
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fis-5332	373	4	.	.	PUNCT
fis-5332	373	5	doi	doi	PROPN
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fis-5332	373	8	.	.	PUNCT
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fis-5332	374	2	5	5	NUM
fis-5332	374	3	]	]	PUNCT
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fis-5332	374	5	,	,	PUNCT
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fis-5332	374	7	,	,	PUNCT
fis-5332	374	8	and	and	CCONJ
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fis-5332	374	10	,	,	PUNCT
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fis-5332	374	14	)	)	PUNCT
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fis-5332	375	6	-	-	PUNCT
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fis-5332	375	25	.	.	PUNCT
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fis-5332	376	2	journal	journal	PROPN
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fis-5332	376	5	,	,	PUNCT
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fis-5332	376	7	)	)	PUNCT
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fis-5332	377	2	-	-	SYM
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fis-5332	377	4	.	.	PUNCT
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fis-5332	378	2	:	:	PUNCT
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fis-5332	378	6	-	-	PUNCT
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fis-5332	378	8	-	-	SYM
fis-5332	378	9	5	5	NUM
fis-5332	378	10	.	.	PUNCT
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fis-5332	379	3	]	]	X
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fis-5332	379	5	,	,	PUNCT
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fis-5332	379	7	,	,	PUNCT
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fis-5332	379	9	,	,	PUNCT
fis-5332	379	10	h.	h.	PROPN
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fis-5332	379	19	,	,	PUNCT
fis-5332	379	20	h.	h.	PROPN
fis-5332	379	21	,	,	PUNCT
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fis-5332	379	24	,	,	PUNCT
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fis-5332	379	28	)	)	PUNCT
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fis-5332	380	8	.	.	PUNCT
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fis-5332	381	8	)	)	PUNCT
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fis-5332	381	11	.	.	PUNCT
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fis-5332	382	2	-	-	SYM
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fis-5332	382	4	.	.	PUNCT
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fis-5332	383	4	.	.	PUNCT
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fis-5332	384	3	]	]	X
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fis-5332	384	5	,	,	PUNCT
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fis-5332	384	7	,	,	PUNCT
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fis-5332	384	9	,	,	PUNCT
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fis-5332	384	11	z.	z.	PROPN
fis-5332	384	12	,	,	PUNCT
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fis-5332	384	14	,	,	PUNCT
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fis-5332	384	19	,	,	PUNCT
fis-5332	384	20	j.	j.	PROPN
fis-5332	384	21	f.	f.	PROPN
fis-5332	384	22	,	,	PUNCT
fis-5332	384	23	du	du	PROPN
fis-5332	384	24	,	,	PUNCT
fis-5332	384	25	j.	j.	PROPN
fis-5332	384	26	w.	w.	PROPN
fis-5332	384	27	,	,	PUNCT
fis-5332	384	28	and	and	CCONJ
fis-5332	384	29	su	su	PROPN
fis-5332	384	30	,	,	PUNCT
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fis-5332	384	32	(	(	PUNCT
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fis-5332	384	34	)	)	PUNCT
fis-5332	384	35	.	.	PUNCT
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fis-5332	385	11	.	.	PUNCT
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fis-5332	386	2	journal	journal	PROPN
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fis-5332	386	6	,	,	PUNCT
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fis-5332	386	8	)	)	PUNCT
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fis-5332	386	11	.	.	PUNCT
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fis-5332	387	2	-	-	SYM
fis-5332	387	3	355	355	NUM
fis-5332	387	4	.	.	PUNCT
fis-5332	388	1	doi	doi	NOUN
fis-5332	388	2	:	:	PUNCT
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fis-5332	388	6	.	.	PUNCT
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fis-5332	389	5	,	,	PUNCT
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fis-5332	389	9	,	,	PUNCT
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fis-5332	389	19	,	,	PUNCT
fis-5332	389	20	h.	h.	PROPN
fis-5332	389	21	,	,	PUNCT
fis-5332	389	22	and	and	CCONJ
fis-5332	389	23	lv	lv	PROPN
fis-5332	389	24	,	,	PUNCT
fis-5332	389	25	z.	z.	PROPN
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fis-5332	389	28	)	)	PUNCT
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fis-5332	391	11	)	)	PUNCT
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fis-5332	392	2	-	-	SYM
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fis-5332	392	4	.	.	PUNCT
fis-5332	393	1	doi	doi	NOUN
fis-5332	393	2	:	:	PUNCT
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fis-5332	394	5	,	,	PUNCT
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fis-5332	394	9	,	,	PUNCT
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fis-5332	394	11	,	,	PUNCT
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fis-5332	394	14	j.	j.	PROPN
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fis-5332	394	23	)	)	PUNCT
fis-5332	394	24	.	.	PUNCT
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fis-5332	395	11	:	:	PUNCT
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fis-5332	395	23	.	.	PUNCT
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fis-5332	396	4	,	,	PUNCT
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fis-5332	396	8	.	.	PUNCT
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fis-5332	397	2	:	:	PUNCT
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fis-5332	398	9	,	,	PUNCT
fis-5332	398	10	x.	x.	PROPN
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fis-5332	398	13	,	,	PUNCT
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fis-5332	398	18	,	,	PUNCT
fis-5332	398	19	z.	z.	PROPN
fis-5332	398	20	(	(	PUNCT
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fis-5332	398	22	)	)	PUNCT
fis-5332	398	23	.	.	PUNCT
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fis-5332	399	8	-	-	PUNCT
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fis-5332	399	14	-	-	PUNCT
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fis-5332	402	3	]	]	X
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fis-5332	402	5	,	,	PUNCT
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fis-5332	402	29	2024	2024	NUM
fis-5332	402	30	)	)	PUNCT
fis-5332	402	31	.	.	PUNCT
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fis-5332	403	11	on	on	ADP
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fis-5332	403	13	learning	learning	NOUN
fis-5332	403	14	.	.	PUNCT
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fis-5332	404	14	.	.	PUNCT
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fis-5332	404	16	.	.	PUNCT
fis-5332	405	1	doi	doi	NOUN
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fis-5332	405	6	.	.	PUNCT
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fis-5332	406	3	]	]	X
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fis-5332	406	5	,	,	PUNCT
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fis-5332	406	7	,	,	PUNCT
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fis-5332	406	10	,	,	PUNCT
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fis-5332	406	12	(	(	PUNCT
fis-5332	406	13	2024	2024	NUM
fis-5332	406	14	)	)	PUNCT
fis-5332	406	15	.	.	PUNCT
fis-5332	407	1	shapley	shapley	NOUN
fis-5332	407	2	additive	additive	ADJ
fis-5332	407	3	explanation	explanation	NOUN
fis-5332	407	4	on	on	ADP
fis-5332	407	5	machine	machine	NOUN
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fis-5332	407	9	fatigue	fatigue	NOUN
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fis-5332	407	11	in	in	ADP
fis-5332	407	12	piston	piston	NOUN
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fis-5332	407	14	alloys	alloy	NOUN
fis-5332	407	15	under	under	ADP
fis-5332	407	16	different	different	ADJ
fis-5332	407	17	manufacturing	manufacturing	NOUN
fis-5332	407	18	and	and	CCONJ
fis-5332	407	19	loading	loading	NOUN
fis-5332	407	20	conditions	condition	NOUN
fis-5332	407	21	.	.	PUNCT
fis-5332	408	1	frattura	frattura	PROPN
fis-5332	408	2	ed	ed	PROPN
fis-5332	408	3	integrità	integrità	PROPN
fis-5332	408	4	strutturale	strutturale	PROPN
fis-5332	408	5	,	,	PUNCT
fis-5332	408	6	18(68	18(68	NUM
fis-5332	408	7	)	)	PUNCT
fis-5332	408	8	,	,	PUNCT
fis-5332	408	9	357	357	NUM
fis-5332	408	10	-	-	SYM
fis-5332	408	11	370	370	NUM
fis-5332	408	12	.	.	PUNCT
fis-5332	409	1	doi	doi	NOUN
fis-5332	409	2	:	:	PUNCT
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fis-5332	409	4	/	/	SYM
fis-5332	409	5	igf	igf	PROPN
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fis-5332	409	8	.	.	PUNCT
fis-5332	410	1	[	[	X
fis-5332	410	2	13	13	NUM
fis-5332	410	3	]	]	X
fis-5332	410	4	zou	zou	PROPN
fis-5332	410	5	,	,	PUNCT
fis-5332	410	6	l.	l.	PROPN
fis-5332	410	7	,	,	PUNCT
fis-5332	410	8	yang	yang	PROPN
fis-5332	410	9	,	,	PUNCT
fis-5332	410	10	y.	y.	PROPN
fis-5332	410	11	,	,	PUNCT
fis-5332	410	12	yang	yang	PROPN
fis-5332	410	13	,	,	PUNCT
fis-5332	410	14	x.	x.	NOUN
fis-5332	410	15	,	,	PUNCT
fis-5332	410	16	and	and	CCONJ
fis-5332	410	17	sun	sun	NOUN
fis-5332	410	18	,	,	PUNCT
fis-5332	410	19	y.	y.	PROPN
fis-5332	410	20	(	(	PUNCT
fis-5332	410	21	2023	2023	NUM
fis-5332	410	22	)	)	PUNCT
fis-5332	410	23	.	.	PUNCT
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fis-5332	411	2	life	life	NOUN
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fis-5332	411	4	of	of	ADP
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fis-5332	411	11	vector	vector	NOUN
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fis-5332	411	13	model	model	NOUN
fis-5332	411	14	under	under	ADP
fis-5332	411	15	two‐level	two‐level	NUM
fis-5332	411	16	loading	loading	NOUN
fis-5332	411	17	.	.	PUNCT
fis-5332	412	1	fatigue	fatigue	NOUN
fis-5332	412	2	&	&	CCONJ
fis-5332	412	3	fracture	fracture	PROPN
fis-5332	412	4	of	of	ADP
fis-5332	412	5	engineering	engineering	NOUN
fis-5332	412	6	materials	material	NOUN
fis-5332	412	7	&	&	CCONJ
fis-5332	412	8	structures	structure	NOUN
fis-5332	412	9	,	,	PUNCT
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fis-5332	412	11	)	)	PUNCT
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fis-5332	412	14	.	.	PUNCT
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fis-5332	413	2	-	-	SYM
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fis-5332	413	4	.	.	PUNCT
fis-5332	414	1	doi	doi	NOUN
fis-5332	414	2	:	:	PUNCT
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fis-5332	414	4	/	/	SYM
fis-5332	414	5	ffe.13969	ffe.13969	NOUN
fis-5332	414	6	.	.	PUNCT
fis-5332	415	1	[	[	X
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fis-5332	415	3	]	]	X
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fis-5332	415	5	,	,	PUNCT
fis-5332	415	6	i.	i.	NOUN
fis-5332	415	7	,	,	PUNCT
fis-5332	415	8	pouget	pouget	NOUN
fis-5332	415	9	-	-	PUNCT
fis-5332	415	10	abadie	abadie	ADJ
fis-5332	415	11	,	,	PUNCT
fis-5332	415	12	j.	j.	PROPN
fis-5332	415	13	,	,	PUNCT
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fis-5332	415	15	,	,	PUNCT
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fis-5332	415	17	,	,	PUNCT
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fis-5332	415	19	,	,	PUNCT
fis-5332	415	20	b.	b.	PROPN
fis-5332	415	21	,	,	PUNCT
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fis-5332	415	23	-	-	PUNCT
fis-5332	415	24	farley	farley	PROPN
fis-5332	415	25	,	,	PUNCT
fis-5332	415	26	d.	d.	PROPN
fis-5332	415	27	,	,	PUNCT
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fis-5332	415	29	,	,	PUNCT
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fis-5332	415	38	,	,	PUNCT
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fis-5332	415	40	(	(	PUNCT
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fis-5332	415	42	)	)	PUNCT
fis-5332	415	43	.	.	PUNCT
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fis-5332	417	8	(	(	PUNCT
fis-5332	417	9	nips	nip	NOUN
fis-5332	417	10	)	)	PUNCT
fis-5332	417	11	,	,	PUNCT
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fis-5332	417	17	-	-	SYM
fis-5332	417	18	13	13	NUM
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fis-5332	417	20	.	.	PUNCT
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fis-5332	418	3	]	]	X
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fis-5332	418	5	,	,	PUNCT
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fis-5332	418	9	,	,	PUNCT
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fis-5332	418	11	,	,	PUNCT
fis-5332	418	12	cuesta	cuesta	PROPN
fis-5332	418	13	-	-	PUNCT
fis-5332	418	14	infante	infante	NOUN
fis-5332	418	15	,	,	PUNCT
fis-5332	418	16	a.	a.	NOUN
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fis-5332	418	20	,	,	PUNCT
fis-5332	418	21	k.	k.	PROPN
fis-5332	418	22	(	(	PUNCT
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fis-5332	418	24	)	)	PUNCT
fis-5332	418	25	.	.	PUNCT
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fis-5332	419	2	tabular	tabular	PROPN
fis-5332	419	3	data	datum	NOUN
fis-5332	419	4	using	use	VERB
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fis-5332	419	11	neural	neural	ADJ
fis-5332	419	12	information	information	NOUN
fis-5332	419	13	processing	processing	NOUN
fis-5332	419	14	systems	system	NOUN
fis-5332	419	15	(	(	PUNCT
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fis-5332	419	17	)	)	PUNCT
fis-5332	419	18	,	,	PUNCT
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fis-5332	419	25	14	14	NUM
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fis-5332	419	27	.	.	PUNCT
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fis-5332	420	2	16	16	NUM
fis-5332	420	3	]	]	PUNCT
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fis-5332	420	16	(	(	PUNCT
fis-5332	420	17	2022	2022	NUM
fis-5332	420	18	)	)	PUNCT
fis-5332	420	19	.	.	PUNCT
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fis-5332	421	11	machine	machine	NOUN
fis-5332	421	12	learning	learning	NOUN
fis-5332	421	13	-	-	PUNCT
fis-5332	421	14	based	base	VERB
fis-5332	421	15	multiaxial	multiaxial	ADJ
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fis-5332	421	17	life	life	NOUN
fis-5332	421	18	prediction	prediction	NOUN
fis-5332	421	19	.	.	PUNCT
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fis-5332	422	4	pressure	pressure	NOUN
fis-5332	422	5	vessels	vessel	NOUN
fis-5332	422	6	and	and	CCONJ
fis-5332	422	7	piping	piping	NOUN
fis-5332	422	8	,	,	PUNCT
fis-5332	422	9	199	199	NUM
fis-5332	422	10	,	,	PUNCT
fis-5332	422	11	104779	104779	NUM
fis-5332	422	12	.	.	PUNCT
fis-5332	423	1	doi	doi	NOUN
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fis-5332	423	6	.	.	PUNCT
fis-5332	424	1	[	[	X
fis-5332	424	2	17	17	NUM
fis-5332	424	3	]	]	X
fis-5332	424	4	sun	sun	NOUN
fis-5332	424	5	,	,	PUNCT
fis-5332	424	6	x.	x.	PROPN
fis-5332	424	7	,	,	PUNCT
fis-5332	424	8	zhou	zhou	PROPN
fis-5332	424	9	,	,	PUNCT
fis-5332	424	10	k.	k.	PROPN
fis-5332	424	11	,	,	PUNCT
fis-5332	424	12	shi	shi	PROPN
fis-5332	424	13	,	,	PUNCT
fis-5332	424	14	s.	s.	PROPN
fis-5332	424	15	,	,	PUNCT
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fis-5332	424	17	,	,	PUNCT
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fis-5332	424	20	and	and	CCONJ
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fis-5332	424	24	(	(	PUNCT
fis-5332	424	25	2022	2022	NUM
fis-5332	424	26	)	)	PUNCT
fis-5332	424	27	.	.	PUNCT
fis-5332	425	1	a	a	DET
fis-5332	425	2	new	new	ADJ
fis-5332	425	3	cyclical	cyclical	ADJ
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fis-5332	425	5	adversarial	adversarial	ADJ
fis-5332	425	6	network	network	NOUN
fis-5332	425	7	based	base	VERB
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fis-5332	425	14	life	life	NOUN
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fis-5332	425	16	.	.	PUNCT
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fis-5332	426	2	journal	journal	PROPN
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fis-5332	426	5	,	,	PUNCT
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fis-5332	426	7	,	,	PUNCT
fis-5332	426	8	106996	106996	NUM
fis-5332	426	9	.	.	PUNCT
fis-5332	427	1	doi	doi	NOUN
fis-5332	427	2	:	:	PUNCT
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fis-5332	428	3	]	]	PUNCT
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fis-5332	428	18	)	)	PUNCT
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fis-5332	429	12	.	.	PUNCT
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fis-5332	430	11	)	)	PUNCT
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fis-5332	431	2	-	-	SYM
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fis-5332	433	3	]	]	X
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fis-5332	433	14	)	)	PUNCT
fis-5332	433	15	.	.	PUNCT
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fis-5332	434	5	networks	network	NOUN
fis-5332	434	6	:	:	PUNCT
fis-5332	434	7	a	a	DET
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fis-5332	434	9	review	review	NOUN
fis-5332	434	10	.	.	PUNCT
fis-5332	435	1	fatigue	fatigue	NOUN
fis-5332	435	2	&	&	CCONJ
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fis-5332	435	4	of	of	ADP
fis-5332	435	5	engineering	engineering	NOUN
fis-5332	435	6	materials	material	NOUN
fis-5332	435	7	&	&	CCONJ
fis-5332	435	8	structures	structure	NOUN
fis-5332	435	9	,	,	PUNCT
fis-5332	435	10	45(4	45(4	NUM
fis-5332	435	11	)	)	PUNCT
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fis-5332	435	14	.	.	PUNCT
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fis-5332	436	2	-	-	SYM
fis-5332	436	3	979	979	NUM
fis-5332	436	4	.	.	PUNCT
fis-5332	436	5	doi	doi	NOUN
fis-5332	436	6	:	:	PUNCT
fis-5332	436	7	10.1111	10.1111	NUM
fis-5332	436	8	/	/	SYM
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fis-5332	436	10	.	.	PUNCT
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fis-5332	437	3	]	]	X
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fis-5332	437	7	,	,	PUNCT
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fis-5332	437	9	,	,	PUNCT
fis-5332	437	10	z.	z.	PROPN
fis-5332	437	11	m.	m.	PROPN
fis-5332	437	12	,	,	PUNCT
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fis-5332	437	19	)	)	PUNCT
fis-5332	437	20	.	.	PUNCT
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fis-5332	438	2	fatigue	fatigue	NOUN
fis-5332	438	3	-	-	PUNCT
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fis-5332	438	5	damage	damage	NOUN
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fis-5332	438	13	emu	emu	PROPN
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fis-5332	438	21	,	,	PUNCT
fis-5332	438	22	34(3	34(3	NUM
fis-5332	438	23	)	)	PUNCT
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fis-5332	439	2	-	-	SYM
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fis-5332	439	4	.	.	PUNCT
fis-5332	440	1	doi	doi	NOUN
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fis-5332	440	4	/	/	SYM
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fis-5332	440	6	-	-	PUNCT
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fis-5332	440	8	.	.	PUNCT
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fis-5332	441	2	21	21	NUM
fis-5332	441	3	]	]	X
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fis-5332	441	5	,	,	PUNCT
fis-5332	441	6	r.	r.	PROPN
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fis-5332	441	8	2008	2008	NUM
fis-5332	441	9	)	)	PUNCT
fis-5332	441	10	.	.	PUNCT
fis-5332	442	1	study	study	NOUN
fis-5332	442	2	on	on	ADP
fis-5332	442	3	fatigue	fatigue	NOUN
fis-5332	442	4	performance	performance	NOUN
fis-5332	442	5	of	of	ADP
fis-5332	442	6	aluminum	aluminum	NOUN
fis-5332	442	7	alloy	alloy	NOUN
fis-5332	442	8	welded	weld	VERB
fis-5332	442	9	joint	joint	NOUN
fis-5332	442	10	for	for	ADP
fis-5332	442	11	high	high	ADJ
fis-5332	442	12	-	-	PUNCT
fis-5332	442	13	speed	speed	NOUN
fis-5332	442	14	train	train	NOUN
fis-5332	442	15	.	.	PUNCT
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fis-5332	443	2	jiaotong	jiaotong	PROPN
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fis-5332	443	4	.	.	PUNCT
fis-5332	444	1	[	[	X
fis-5332	444	2	22	22	NUM
fis-5332	444	3	]	]	X
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fis-5332	444	5	,	,	PUNCT
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fis-5332	444	10	)	)	PUNCT
fis-5332	444	11	.	.	PUNCT
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fis-5332	445	3	fatigue	fatigue	NOUN
fis-5332	445	4	damage	damage	NOUN
fis-5332	445	5	accumulation	accumulation	NOUN
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fis-5332	445	15	-	-	PUNCT
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fis-5332	445	18	.	.	PUNCT
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fis-5332	446	5	)	)	PUNCT
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fis-5332	446	8	.	.	PUNCT
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fis-5332	447	2	-	-	SYM
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fis-5332	447	4	.	.	PUNCT
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fis-5332	448	4	/	/	SYM
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fis-5332	448	8	-	-	PUNCT
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fis-5332	448	19	,	,	PUNCT
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fis-5332	448	21	(	(	PUNCT
fis-5332	448	22	2025	2025	NUM
fis-5332	448	23	)	)	PUNCT
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fis-5332	448	25	-	-	SYM
fis-5332	448	26	178	178	NUM
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fis-5332	448	28	doi	doi	NOUN
fis-5332	448	29	:	:	PUNCT
fis-5332	448	30	10.3221	10.3221	NUM
fis-5332	448	31	/	/	SYM
fis-5332	448	32	igf	igf	PROPN
fis-5332	448	33	-	-	PUNCT
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fis-5332	448	36	[	[	X
fis-5332	448	37	23	23	NUM
fis-5332	448	38	]	]	PUNCT
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fis-5332	448	45	,	,	PUNCT
fis-5332	448	46	j.	j.	PROPN
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fis-5332	449	7	-	-	PUNCT
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fis-5332	450	5	)	)	PUNCT
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fis-5332	450	8	.	.	PUNCT
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fis-5332	450	10	-	-	SYM
fis-5332	450	11	2043	2043	NUM
fis-5332	450	12	.	.	PUNCT
fis-5332	451	1	doi	doi	NOUN
fis-5332	451	2	:	:	PUNCT
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fis-5332	451	4	/	/	SYM
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fis-5332	452	3	]	]	SYM
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fis-5332	452	9	)	)	PUNCT
fis-5332	452	10	.	.	PUNCT
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fis-5332	453	8	-	-	ADJ
fis-5332	453	9	load	load	ADJ
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fis-5332	453	11	and	and	CCONJ
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fis-5332	453	17	.	.	PUNCT
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fis-5332	454	3	.	.	PUNCT
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fis-5332	455	2	25	25	NUM
fis-5332	455	3	]	]	X
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fis-5332	455	8	zhong	zhong	PROPN
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fis-5332	455	26	)	)	PUNCT
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fis-5332	456	19	.	.	PUNCT
fis-5332	457	1	applied	apply	VERB
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fis-5332	457	5	)	)	PUNCT
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fis-5332	458	2	.	.	PUNCT
fis-5332	459	1	doi	doi	NOUN
fis-5332	459	2	:	:	PUNCT
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