id	sid	tid	token	lemma	pos
fis-5090	1	1	microsoft	microsoft	PROPN
fis-5090	1	2	word	word	NOUN
fis-5090	1	3	numero_70_art_07_5090.docx	numero_70_art_07_5090.docx	VERB
fis-5090	1	4	m.verezhak	m.verezhak	ADJ
fis-5090	1	5	et	et	PROPN
fis-5090	1	6	alii	alii	PROPN
fis-5090	1	7	,	,	PUNCT
fis-5090	1	8	frattura	frattura	PROPN
fis-5090	1	9	ed	ed	PROPN
fis-5090	1	10	integrità	integrità	PROPN
fis-5090	1	11	strutturale	strutturale	PROPN
fis-5090	1	12	,	,	PUNCT
fis-5090	1	13	70	70	NUM
fis-5090	1	14	(	(	PUNCT
fis-5090	1	15	2024	2024	NUM
fis-5090	1	16	)	)	PUNCT
fis-5090	1	17	121	121	NUM
fis-5090	1	18	-	-	SYM
fis-5090	1	19	132	132	NUM
fis-5090	1	20	;	;	PUNCT
fis-5090	1	21	doi	doi	NOUN
fis-5090	1	22	:	:	PUNCT
fis-5090	1	23	10.3221	10.3221	NUM
fis-5090	1	24	/	/	SYM
fis-5090	1	25	igf	igf	NOUN
fis-5090	1	26	-	-	ADJ
fis-5090	1	27	esis.70.07	esis.70.07	ADJ
fis-5090	1	28	121	121	NUM
fis-5090	1	29	application	application	NOUN
fis-5090	1	30	of	of	ADP
fis-5090	1	31	deep	deep	ADJ
fis-5090	1	32	learning	learning	NOUN
fis-5090	1	33	for	for	ADP
fis-5090	1	34	technological	technological	ADJ
fis-5090	1	35	parameter	parameter	NOUN
fis-5090	1	36	optimization	optimization	NOUN
fis-5090	1	37	of	of	ADP
fis-5090	1	38	laser	laser	NOUN
fis-5090	1	39	shock	shock	NOUN
fis-5090	1	40	peening	peening	NOUN
fis-5090	1	41	of	of	ADP
fis-5090	1	42	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	1	43	alloy	alloy	NOUN
fis-5090	1	44	m.	m.	NOUN
fis-5090	1	45	verezhak	verezhak	NOUN
fis-5090	1	46	,	,	PUNCT
fis-5090	1	47	a.	a.	PROPN
fis-5090	1	48	vshivkov	vshivkov	PROPN
fis-5090	1	49	,	,	PUNCT
fis-5090	1	50	m.	m.	PROPN
fis-5090	1	51	bartolomei	bartolomei	PROPN
fis-5090	1	52	,	,	PUNCT
fis-5090	1	53	e.	e.	PROPN
fis-5090	1	54	gachegova	gachegova	PROPN
fis-5090	1	55	institute	institute	PROPN
fis-5090	1	56	of	of	ADP
fis-5090	1	57	continuous	continuous	ADJ
fis-5090	1	58	media	medium	NOUN
fis-5090	1	59	mechanics	mechanic	NOUN
fis-5090	1	60	of	of	ADP
fis-5090	1	61	the	the	DET
fis-5090	1	62	ural	ural	ADJ
fis-5090	1	63	branch	branch	NOUN
fis-5090	1	64	of	of	ADP
fis-5090	1	65	russian	russian	PROPN
fis-5090	1	66	academy	academy	PROPN
fis-5090	1	67	of	of	ADP
fis-5090	1	68	science	science	PROPN
fis-5090	1	69	(	(	PUNCT
fis-5090	1	70	icmm	icmm	PROPN
fis-5090	1	71	ub	ub	X
fis-5090	1	72	ras	ras	PROPN
fis-5090	1	73	)	)	PUNCT
fis-5090	1	74	,	,	PUNCT
fis-5090	1	75	russia	russia	PROPN
fis-5090	1	76	mixailverejack@yandex.ru	mixailverejack@yandex.ru	PROPN
fis-5090	1	77	,	,	PUNCT
fis-5090	1	78	https://orcid.org/0000-0003-2278-9439	https://orcid.org/0000-0003-2278-9439	PROPN
fis-5090	1	79	vshivkov.a@icmm.ru	vshivkov.a@icmm.ru	VERB
fis-5090	1	80	,	,	PUNCT
fis-5090	1	81	https://orcid.org/0000-0002-7667-455x	https://orcid.org/0000-0002-7667-455x	ADJ
fis-5090	1	82	bartolomei.m@icmm.ru	bartolomei.m@icmm.ru	ADV
fis-5090	1	83	,	,	PUNCT
fis-5090	1	84	http://orcid.org/0009-0003-3193-7605	http://orcid.org/0009-0003-3193-7605	NOUN
fis-5090	1	85	gachegova.e@icmm.ru	gachegova.e@icmm.ru	PROPN
fis-5090	1	86	,	,	PUNCT
fis-5090	1	87	https://orcid.org/0000-0001-6849-9889	https://orcid.org/0000-0001-6849-9889	PROPN
fis-5090	1	88	a.	a.	PROPN
fis-5090	1	89	mayer	mayer	PROPN
fis-5090	1	90	chelyabinsk	chelyabinsk	PROPN
fis-5090	1	91	state	state	PROPN
fis-5090	1	92	university	university	PROPN
fis-5090	1	93	(	(	PUNCT
fis-5090	1	94	csu	csu	PROPN
fis-5090	1	95	)	)	PUNCT
fis-5090	1	96	,	,	PUNCT
fis-5090	1	97	russia	russia	PROPN
fis-5090	1	98	mayer@csu.ru	mayer@csu.ru	PROPN
fis-5090	1	99	,	,	PUNCT
fis-5090	1	100	https://orcid.org/0000-0002-8765-6373	https://orcid.org/0000-0002-8765-6373	PROPN
fis-5090	1	101	s.	s.	PROPN
fis-5090	1	102	swaroop	swaroop	PROPN
fis-5090	1	103	vellore	vellore	PROPN
fis-5090	1	104	institute	institute	PROPN
fis-5090	1	105	of	of	ADP
fis-5090	1	106	technology	technology	PROPN
fis-5090	1	107	,	,	PUNCT
fis-5090	1	108	india	india	PROPN
fis-5090	1	109	n.r.sathya.swaroop@gmail.com	n.r.sathya.swaroop@gmail.com	PROPN
fis-5090	1	110	,	,	PUNCT
fis-5090	1	111	https://orcid.org/0000-0001-9872-811x	https://orcid.org/0000-0001-9872-811x	PART
fis-5090	1	112	keywords	keyword	NOUN
fis-5090	1	113	.	.	PUNCT
fis-5090	2	1	laser	laser	NOUN
fis-5090	2	2	shock	shock	NOUN
fis-5090	2	3	peening	peening	NOUN
fis-5090	2	4	,	,	PUNCT
fis-5090	2	5	deep	deep	ADJ
fis-5090	2	6	learning	learning	NOUN
fis-5090	2	7	,	,	PUNCT
fis-5090	2	8	numerical	numerical	PROPN
fis-5090	2	9	simulation	simulation	PROPN
fis-5090	2	10	,	,	PUNCT
fis-5090	2	11	titanium	titanium	NOUN
fis-5090	2	12	alloy	alloy	NOUN
fis-5090	2	13	,	,	PUNCT
fis-5090	2	14	residual	residual	ADJ
fis-5090	2	15	stress	stress	NOUN
fis-5090	2	16	.	.	PUNCT
fis-5090	3	1	citation	citation	NOUN
fis-5090	3	2	:	:	PUNCT
fis-5090	3	3	verezhak	verezhak	NOUN
fis-5090	3	4	,	,	PUNCT
fis-5090	3	5	m.	m.	NOUN
fis-5090	3	6	,	,	PUNCT
fis-5090	3	7	vshivkov	vshivkov	PROPN
fis-5090	3	8	,	,	PUNCT
fis-5090	3	9	a.	a.	PROPN
fis-5090	3	10	,	,	PUNCT
fis-5090	3	11	bartolomei	bartolomei	PROPN
fis-5090	3	12	,	,	PUNCT
fis-5090	3	13	m.	m.	NOUN
fis-5090	3	14	,	,	PUNCT
fis-5090	3	15	gachegova	gachegova	PROPN
fis-5090	3	16	,	,	PUNCT
fis-5090	3	17	e.	e.	PROPN
fis-5090	3	18	,	,	PUNCT
fis-5090	3	19	mayer	mayer	PROPN
fis-5090	3	20	,	,	PUNCT
fis-5090	3	21	a.	a.	PROPN
fis-5090	3	22	,	,	PUNCT
fis-5090	3	23	swaroop	swaroop	NOUN
fis-5090	3	24	,	,	PUNCT
fis-5090	3	25	s.	s.	PROPN
fis-5090	3	26	,	,	PUNCT
fis-5090	3	27	application	application	NOUN
fis-5090	3	28	of	of	ADP
fis-5090	3	29	deep	deep	ADJ
fis-5090	3	30	learning	learning	NOUN
fis-5090	3	31	for	for	ADP
fis-5090	3	32	technological	technological	ADJ
fis-5090	3	33	parameter	parameter	NOUN
fis-5090	3	34	optimization	optimization	NOUN
fis-5090	3	35	of	of	ADP
fis-5090	3	36	laser	laser	NOUN
fis-5090	3	37	shock	shock	NOUN
fis-5090	3	38	peening	peening	NOUN
fis-5090	3	39	of	of	ADP
fis-5090	3	40	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	3	41	alloy	alloy	NOUN
fis-5090	3	42	,	,	PUNCT
fis-5090	3	43	frattura	frattura	NOUN
fis-5090	3	44	ed	ed	PROPN
fis-5090	3	45	integrità	integrità	PROPN
fis-5090	3	46	strutturale	strutturale	PROPN
fis-5090	3	47	,	,	PUNCT
fis-5090	3	48	70	70	NUM
fis-5090	3	49	(	(	PUNCT
fis-5090	3	50	2024	2024	NUM
fis-5090	3	51	)	)	PUNCT
fis-5090	3	52	121	121	NUM
fis-5090	3	53	-	-	SYM
fis-5090	3	54	132	132	NUM
fis-5090	3	55	.	.	PUNCT
fis-5090	3	56	received	receive	VERB
fis-5090	3	57	:	:	PUNCT
fis-5090	3	58	16.07.2024	16.07.2024	NUM
fis-5090	3	59	accepted	accept	VERB
fis-5090	3	60	:	:	PUNCT
fis-5090	3	61	07.08.2024	07.08.2024	NOUN
fis-5090	3	62	published	publish	VERB
fis-5090	3	63	:	:	PUNCT
fis-5090	3	64	14.08.2024	14.08.2024	NUM
fis-5090	3	65	issue	issue	NOUN
fis-5090	3	66	:	:	PUNCT
fis-5090	3	67	10.2024	10.2024	NUM
fis-5090	3	68	copyright	copyright	NOUN
fis-5090	3	69	:	:	PUNCT
fis-5090	3	70	©	©	PROPN
fis-5090	3	71	2024	2024	NUM
fis-5090	3	72	this	this	PRON
fis-5090	3	73	is	be	AUX
fis-5090	3	74	an	an	DET
fis-5090	3	75	open	open	ADJ
fis-5090	3	76	access	access	NOUN
fis-5090	3	77	article	article	NOUN
fis-5090	3	78	under	under	ADP
fis-5090	3	79	the	the	DET
fis-5090	3	80	terms	term	NOUN
fis-5090	3	81	of	of	ADP
fis-5090	3	82	the	the	DET
fis-5090	3	83	cc	cc	NOUN
fis-5090	3	84	-	-	PUNCT
fis-5090	3	85	by	by	ADP
fis-5090	3	86	4.0	4.0	NUM
fis-5090	3	87	,	,	PUNCT
fis-5090	3	88	which	which	PRON
fis-5090	3	89	permits	permit	VERB
fis-5090	3	90	unrestricted	unrestricted	ADJ
fis-5090	3	91	use	use	NOUN
fis-5090	3	92	,	,	PUNCT
fis-5090	3	93	distribution	distribution	NOUN
fis-5090	3	94	,	,	PUNCT
fis-5090	3	95	and	and	CCONJ
fis-5090	3	96	reproduction	reproduction	NOUN
fis-5090	3	97	in	in	ADP
fis-5090	3	98	any	any	DET
fis-5090	3	99	medium	medium	NOUN
fis-5090	3	100	,	,	PUNCT
fis-5090	3	101	provided	provide	VERB
fis-5090	3	102	the	the	DET
fis-5090	3	103	original	original	ADJ
fis-5090	3	104	author	author	NOUN
fis-5090	3	105	and	and	CCONJ
fis-5090	3	106	source	source	NOUN
fis-5090	3	107	are	be	AUX
fis-5090	3	108	credited	credit	VERB
fis-5090	3	109	.	.	PUNCT
fis-5090	4	1	https://youtu.be/jesl4lfmq14	https://youtu.be/jesl4lfmq14	VERB
fis-5090	4	2	m.verezhak	m.verezhak	ADJ
fis-5090	4	3	et	et	PROPN
fis-5090	4	4	alii	alii	PROPN
fis-5090	4	5	,	,	PUNCT
fis-5090	4	6	frattura	frattura	PROPN
fis-5090	4	7	ed	ed	PROPN
fis-5090	4	8	integrità	integrità	PROPN
fis-5090	4	9	strutturale	strutturale	PROPN
fis-5090	4	10	,	,	PUNCT
fis-5090	4	11	70	70	NUM
fis-5090	4	12	(	(	PUNCT
fis-5090	4	13	2024	2024	NUM
fis-5090	4	14	)	)	PUNCT
fis-5090	4	15	121	121	NUM
fis-5090	4	16	-	-	SYM
fis-5090	4	17	132	132	NUM
fis-5090	4	18	;	;	PUNCT
fis-5090	4	19	doi	doi	NOUN
fis-5090	4	20	:	:	PUNCT
fis-5090	4	21	10.3221	10.3221	NUM
fis-5090	4	22	/	/	SYM
fis-5090	4	23	igf	igf	NOUN
fis-5090	4	24	-	-	ADJ
fis-5090	4	25	esis.70.07	esis.70.07	ADJ
fis-5090	4	26	122	122	NUM
fis-5090	4	27	introduction	introduction	NOUN
fis-5090	4	28	aser	aser	NOUN
fis-5090	4	29	shock	shock	NOUN
fis-5090	4	30	peening	peening	NOUN
fis-5090	4	31	(	(	PUNCT
fis-5090	4	32	lsp	lsp	PROPN
fis-5090	4	33	)	)	PUNCT
fis-5090	5	1	[	[	X
fis-5090	5	2	1	1	NUM
fis-5090	5	3	-	-	SYM
fis-5090	5	4	3	3	NUM
fis-5090	5	5	]	]	PUNCT
fis-5090	5	6	is	be	AUX
fis-5090	5	7	an	an	DET
fis-5090	5	8	advanced	advanced	ADJ
fis-5090	5	9	technology	technology	NOUN
fis-5090	5	10	that	that	PRON
fis-5090	5	11	is	be	AUX
fis-5090	5	12	used	use	VERB
fis-5090	5	13	to	to	PART
fis-5090	5	14	introduce	introduce	VERB
fis-5090	5	15	compressive	compressive	ADJ
fis-5090	5	16	residual	residual	ADJ
fis-5090	5	17	stresses	stress	NOUN
fis-5090	5	18	in	in	ADP
fis-5090	5	19	surface	surface	NOUN
fis-5090	5	20	layers	layer	NOUN
fis-5090	5	21	of	of	ADP
fis-5090	5	22	material	material	NOUN
fis-5090	5	23	.	.	PUNCT
fis-5090	6	1	residual	residual	ADJ
fis-5090	6	2	stresses	stress	NOUN
fis-5090	6	3	are	be	AUX
fis-5090	6	4	formed	form	VERB
fis-5090	6	5	due	due	ADP
fis-5090	6	6	to	to	ADP
fis-5090	6	7	the	the	DET
fis-5090	6	8	shock	shock	NOUN
fis-5090	6	9	wave	wave	NOUN
fis-5090	6	10	caused	cause	VERB
fis-5090	6	11	by	by	ADP
fis-5090	6	12	high	high	ADJ
fis-5090	6	13	-	-	PUNCT
fis-5090	6	14	energy	energy	NOUN
fis-5090	6	15	laser	laser	NOUN
fis-5090	6	16	pulses	pulse	NOUN
fis-5090	6	17	and	and	CCONJ
fis-5090	6	18	significantly	significantly	ADV
fis-5090	6	19	alter	alter	VERB
fis-5090	6	20	the	the	DET
fis-5090	6	21	fatigue	fatigue	NOUN
fis-5090	6	22	properties	property	NOUN
fis-5090	6	23	of	of	ADP
fis-5090	6	24	metallic	metallic	ADJ
fis-5090	6	25	materials	material	NOUN
fis-5090	6	26	and	and	CCONJ
fis-5090	6	27	alloys	alloy	NOUN
fis-5090	6	28	.	.	PUNCT
fis-5090	7	1	unlike	unlike	ADP
fis-5090	7	2	other	other	ADJ
fis-5090	7	3	laser	laser	NOUN
fis-5090	7	4	methods	method	NOUN
fis-5090	7	5	lsp	lsp	PROPN
fis-5090	7	6	due	due	ADJ
fis-5090	7	7	to	to	ADP
fis-5090	7	8	short	short	ADJ
fis-5090	7	9	(	(	PUNCT
fis-5090	7	10	tens	ten	NOUN
fis-5090	7	11	of	of	ADP
fis-5090	7	12	nanoseconds	nanosecond	NOUN
fis-5090	7	13	)	)	PUNCT
fis-5090	7	14	pulses	pulse	NOUN
fis-5090	7	15	allows	allow	VERB
fis-5090	7	16	to	to	PART
fis-5090	7	17	exclude	exclude	VERB
fis-5090	7	18	heating	heating	NOUN
fis-5090	7	19	of	of	ADP
fis-5090	7	20	the	the	DET
fis-5090	7	21	surface	surface	NOUN
fis-5090	7	22	layer	layer	NOUN
fis-5090	7	23	of	of	ADP
fis-5090	7	24	the	the	DET
fis-5090	7	25	material	material	NOUN
fis-5090	7	26	.	.	PUNCT
fis-5090	8	1	the	the	DET
fis-5090	8	2	use	use	NOUN
fis-5090	8	3	of	of	ADP
fis-5090	8	4	short	short	ADJ
fis-5090	8	5	laser	laser	NOUN
fis-5090	8	6	pulses	pulse	NOUN
fis-5090	8	7	makes	make	VERB
fis-5090	8	8	it	it	PRON
fis-5090	8	9	possible	possible	ADJ
fis-5090	8	10	to	to	PART
fis-5090	8	11	process	process	VERB
fis-5090	8	12	parts	part	NOUN
fis-5090	8	13	of	of	ADP
fis-5090	8	14	complex	complex	ADJ
fis-5090	8	15	configuration	configuration	NOUN
fis-5090	8	16	and	and	CCONJ
fis-5090	8	17	to	to	PART
fis-5090	8	18	obtain	obtain	VERB
fis-5090	8	19	deeper	deep	ADJ
fis-5090	8	20	residual	residual	ADJ
fis-5090	8	21	stress	stress	NOUN
fis-5090	8	22	fields	field	NOUN
fis-5090	8	23	compared	compare	VERB
fis-5090	8	24	to	to	ADP
fis-5090	8	25	shot	shot	NOUN
fis-5090	8	26	blasting	blast	VERB
fis-5090	8	27	,	,	PUNCT
fis-5090	8	28	ultrasonic	ultrasonic	ADJ
fis-5090	8	29	riveting	riveting	ADJ
fis-5090	8	30	or	or	CCONJ
fis-5090	8	31	riveting	riveting	ADJ
fis-5090	8	32	with	with	ADP
fis-5090	8	33	oil	oil	NOUN
fis-5090	8	34	and	and	CCONJ
fis-5090	8	35	water	water	NOUN
fis-5090	8	36	jets	jet	NOUN
fis-5090	8	37	[	[	X
fis-5090	8	38	12	12	NUM
fis-5090	8	39	-	-	SYM
fis-5090	8	40	15	15	NUM
fis-5090	8	41	]	]	PUNCT
fis-5090	8	42	.	.	PUNCT
fis-5090	9	1	compressive	compressive	ADJ
fis-5090	9	2	stresses	stress	NOUN
fis-5090	9	3	resulting	result	VERB
fis-5090	9	4	from	from	ADP
fis-5090	9	5	laser	laser	NOUN
fis-5090	9	6	exposure	exposure	NOUN
fis-5090	9	7	can	can	AUX
fis-5090	9	8	compensate	compensate	VERB
fis-5090	9	9	for	for	ADP
fis-5090	9	10	existing	exist	VERB
fis-5090	9	11	or	or	CCONJ
fis-5090	9	12	applied	apply	VERB
fis-5090	9	13	tensile	tensile	NOUN
fis-5090	9	14	stresses	stress	NOUN
fis-5090	9	15	and	and	CCONJ
fis-5090	9	16	prevent	prevent	VERB
fis-5090	9	17	the	the	DET
fis-5090	9	18	appearance	appearance	NOUN
fis-5090	9	19	or	or	CCONJ
fis-5090	9	20	propagation	propagation	NOUN
fis-5090	9	21	of	of	ADP
fis-5090	9	22	fatigue	fatigue	NOUN
fis-5090	9	23	cracks	crack	NOUN
fis-5090	9	24	[	[	X
fis-5090	9	25	16	16	NUM
fis-5090	9	26	,	,	PUNCT
fis-5090	9	27	4	4	NUM
fis-5090	9	28	]	]	PUNCT
fis-5090	9	29	.	.	PUNCT
fis-5090	10	1	however	however	ADV
fis-5090	10	2	,	,	PUNCT
fis-5090	10	3	in	in	ADP
fis-5090	10	4	order	order	NOUN
fis-5090	10	5	to	to	PART
fis-5090	10	6	obtain	obtain	VERB
fis-5090	10	7	an	an	DET
fis-5090	10	8	optimal	optimal	ADJ
fis-5090	10	9	residual	residual	ADJ
fis-5090	10	10	stress	stress	NOUN
fis-5090	10	11	distribution	distribution	NOUN
fis-5090	10	12	,	,	PUNCT
fis-5090	10	13	it	it	PRON
fis-5090	10	14	is	be	AUX
fis-5090	10	15	necessary	necessary	ADJ
fis-5090	10	16	to	to	PART
fis-5090	10	17	properly	properly	ADV
fis-5090	10	18	select	select	VERB
fis-5090	10	19	the	the	DET
fis-5090	10	20	pulse	pulse	NOUN
fis-5090	10	21	exposure	exposure	NOUN
fis-5090	10	22	parameters	parameter	NOUN
fis-5090	10	23	.	.	PUNCT
fis-5090	11	1	in	in	ADP
fis-5090	11	2	this	this	DET
fis-5090	11	3	connection	connection	NOUN
fis-5090	11	4	,	,	PUNCT
fis-5090	11	5	the	the	DET
fis-5090	11	6	inverse	inverse	NOUN
fis-5090	11	7	problem	problem	NOUN
fis-5090	11	8	of	of	ADP
fis-5090	11	9	determining	determine	VERB
fis-5090	11	10	the	the	DET
fis-5090	11	11	parameters	parameter	NOUN
fis-5090	11	12	of	of	ADP
fis-5090	11	13	laser	laser	NOUN
fis-5090	11	14	exposure	exposure	NOUN
fis-5090	11	15	according	accord	VERB
fis-5090	11	16	to	to	ADP
fis-5090	11	17	the	the	DET
fis-5090	11	18	given	give	VERB
fis-5090	11	19	residual	residual	ADJ
fis-5090	11	20	stresses	stress	NOUN
fis-5090	11	21	arises	arise	VERB
fis-5090	11	22	,	,	PUNCT
fis-5090	11	23	which	which	PRON
fis-5090	11	24	is	be	AUX
fis-5090	11	25	relevant	relevant	ADJ
fis-5090	11	26	for	for	ADP
fis-5090	11	27	the	the	DET
fis-5090	11	28	application	application	NOUN
fis-5090	11	29	of	of	ADP
fis-5090	11	30	this	this	DET
fis-5090	11	31	technology	technology	NOUN
fis-5090	11	32	.	.	PUNCT
fis-5090	12	1	the	the	DET
fis-5090	12	2	problem	problem	NOUN
fis-5090	12	3	of	of	ADP
fis-5090	12	4	finding	find	VERB
fis-5090	12	5	the	the	DET
fis-5090	12	6	optimal	optimal	ADJ
fis-5090	12	7	parameters	parameter	NOUN
fis-5090	12	8	of	of	ADP
fis-5090	12	9	laser	laser	NOUN
fis-5090	12	10	shock	shock	NOUN
fis-5090	12	11	peening	peening	NOUN
fis-5090	12	12	of	of	ADP
fis-5090	12	13	surfaces	surface	NOUN
fis-5090	12	14	can	can	AUX
fis-5090	12	15	be	be	AUX
fis-5090	12	16	solved	solve	VERB
fis-5090	12	17	in	in	ADP
fis-5090	12	18	several	several	ADJ
fis-5090	12	19	ways	way	NOUN
fis-5090	12	20	.	.	PUNCT
fis-5090	13	1	one	one	NUM
fis-5090	13	2	of	of	ADP
fis-5090	13	3	the	the	DET
fis-5090	13	4	ways	way	NOUN
fis-5090	13	5	to	to	PART
fis-5090	13	6	solve	solve	VERB
fis-5090	13	7	this	this	DET
fis-5090	13	8	problem	problem	NOUN
fis-5090	13	9	is	be	AUX
fis-5090	13	10	the	the	DET
fis-5090	13	11	experimental	experimental	ADJ
fis-5090	13	12	selection	selection	NOUN
fis-5090	13	13	of	of	ADP
fis-5090	13	14	parameters	parameter	NOUN
fis-5090	13	15	with	with	ADP
fis-5090	13	16	subsequent	subsequent	ADJ
fis-5090	13	17	determination	determination	NOUN
fis-5090	13	18	of	of	ADP
fis-5090	13	19	residual	residual	ADJ
fis-5090	13	20	stresses	stress	NOUN
fis-5090	13	21	[	[	X
fis-5090	13	22	17	17	NUM
fis-5090	13	23	]	]	PUNCT
fis-5090	13	24	.	.	PUNCT
fis-5090	14	1	however	however	ADV
fis-5090	14	2	,	,	PUNCT
fis-5090	14	3	due	due	ADP
fis-5090	14	4	to	to	ADP
fis-5090	14	5	the	the	DET
fis-5090	14	6	limited	limited	ADJ
fis-5090	14	7	and	and	CCONJ
fis-5090	14	8	time	time	NOUN
fis-5090	14	9	-	-	PUNCT
fis-5090	14	10	consuming	consume	VERB
fis-5090	14	11	nature	nature	NOUN
fis-5090	14	12	of	of	ADP
fis-5090	14	13	experiments	experiment	NOUN
fis-5090	14	14	,	,	PUNCT
fis-5090	14	15	especially	especially	ADV
fis-5090	14	16	in	in	ADP
fis-5090	14	17	the	the	DET
fis-5090	14	18	area	area	NOUN
fis-5090	14	19	of	of	ADP
fis-5090	14	20	reliable	reliable	ADJ
fis-5090	14	21	determination	determination	NOUN
fis-5090	14	22	of	of	ADP
fis-5090	14	23	residual	residual	ADJ
fis-5090	14	24	stresses	stress	NOUN
fis-5090	14	25	,	,	PUNCT
fis-5090	14	26	numerical	numerical	ADJ
fis-5090	14	27	modeling	modeling	NOUN
fis-5090	14	28	methods	method	NOUN
fis-5090	14	29	have	have	AUX
fis-5090	14	30	become	become	VERB
fis-5090	14	31	widespread	widespread	ADJ
fis-5090	14	32	.	.	PUNCT
fis-5090	15	1	warren	warren	PROPN
fis-5090	15	2	et	et	PROPN
fis-5090	15	3	al	al	PROPN
fis-5090	15	4	.	.	PROPN
fis-5090	15	5	conducted	conduct	VERB
fis-5090	15	6	finite	finite	PROPN
fis-5090	15	7	element	element	NOUN
fis-5090	15	8	modeling	modeling	NOUN
fis-5090	15	9	of	of	ADP
fis-5090	15	10	lsp	lsp	PROPN
fis-5090	15	11	-	-	PUNCT
fis-5090	15	12	induced	induce	VERB
fis-5090	15	13	residual	residual	ADJ
fis-5090	15	14	stresses	stress	NOUN
fis-5090	15	15	in	in	ADP
fis-5090	15	16	carbon	carbon	NOUN
fis-5090	15	17	steel	steel	NOUN
fis-5090	15	18	[	[	X
fis-5090	15	19	5	5	NUM
fis-5090	15	20	]	]	PUNCT
fis-5090	15	21	.	.	PUNCT
fis-5090	16	1	the	the	DET
fis-5090	16	2	authors	author	NOUN
fis-5090	16	3	performed	perform	VERB
fis-5090	16	4	3d	3d	PROPN
fis-5090	16	5	numerical	numerical	ADJ
fis-5090	16	6	simulations	simulation	NOUN
fis-5090	16	7	of	of	ADP
fis-5090	16	8	single	single	ADJ
fis-5090	16	9	and	and	CCONJ
fis-5090	16	10	multiple	multiple	ADJ
fis-5090	16	11	impacts	impact	NOUN
fis-5090	16	12	in	in	ADP
fis-5090	16	13	the	the	DET
fis-5090	16	14	abaqus	abaqus	NOUN
fis-5090	16	15	package	package	NOUN
fis-5090	16	16	using	use	VERB
fis-5090	16	17	the	the	DET
fis-5090	16	18	custom	custom	NOUN
fis-5090	16	19	vdload	vdload	NOUN
fis-5090	16	20	subroutine	subroutine	NOUN
fis-5090	16	21	to	to	PART
fis-5090	16	22	set	set	VERB
fis-5090	16	23	the	the	DET
fis-5090	16	24	pulse	pulse	NOUN
fis-5090	16	25	amplitude	amplitude	NOUN
fis-5090	16	26	.	.	PUNCT
fis-5090	17	1	this	this	PRON
fis-5090	17	2	allowed	allow	VERB
fis-5090	17	3	them	they	PRON
fis-5090	17	4	to	to	PART
fis-5090	17	5	investigate	investigate	VERB
fis-5090	17	6	the	the	DET
fis-5090	17	7	effects	effect	NOUN
fis-5090	17	8	of	of	ADP
fis-5090	17	9	spot	spot	NOUN
fis-5090	17	10	size	size	NOUN
fis-5090	17	11	,	,	PUNCT
fis-5090	17	12	location	location	NOUN
fis-5090	17	13	and	and	CCONJ
fis-5090	17	14	pulse	pulse	NOUN
fis-5090	17	15	intensity	intensity	NOUN
fis-5090	17	16	on	on	ADP
fis-5090	17	17	the	the	DET
fis-5090	17	18	magnitude	magnitude	NOUN
fis-5090	17	19	of	of	ADP
fis-5090	17	20	residual	residual	ADJ
fis-5090	17	21	stresses	stress	NOUN
fis-5090	17	22	.	.	PUNCT
fis-5090	18	1	various	various	ADJ
fis-5090	18	2	approaches	approach	NOUN
fis-5090	18	3	to	to	ADP
fis-5090	18	4	numerical	numerical	ADJ
fis-5090	18	5	modeling	modeling	NOUN
fis-5090	18	6	of	of	ADP
fis-5090	18	7	laser	laser	NOUN
fis-5090	18	8	impact	impact	NOUN
fis-5090	18	9	peening	peening	NOUN
fis-5090	18	10	have	have	AUX
fis-5090	18	11	been	be	AUX
fis-5090	18	12	proposed	propose	VERB
fis-5090	18	13	in	in	ADP
fis-5090	18	14	[	[	X
fis-5090	18	15	18	18	NUM
fis-5090	18	16	,	,	PUNCT
fis-5090	18	17	19	19	NUM
fis-5090	18	18	]	]	PUNCT
fis-5090	18	19	.	.	PUNCT
fis-5090	19	1	at	at	ADP
fis-5090	19	2	present	present	ADJ
fis-5090	19	3	,	,	PUNCT
fis-5090	19	4	simplified	simplify	VERB
fis-5090	19	5	approaches	approach	NOUN
fis-5090	19	6	using	use	VERB
fis-5090	19	7	the	the	DET
fis-5090	19	8	eigenstrain	eigenstrain	NOUN
fis-5090	19	9	method	method	NOUN
fis-5090	19	10	are	be	AUX
fis-5090	19	11	traditionally	traditionally	ADV
fis-5090	19	12	used	use	VERB
fis-5090	19	13	for	for	ADP
fis-5090	19	14	modeling	model	VERB
fis-5090	19	15	laser	laser	NOUN
fis-5090	19	16	processing	processing	NOUN
fis-5090	19	17	,	,	PUNCT
fis-5090	19	18	which	which	PRON
fis-5090	19	19	allow	allow	VERB
fis-5090	19	20	calculating	calculate	VERB
fis-5090	19	21	a	a	DET
fis-5090	19	22	large	large	ADJ
fis-5090	19	23	number	number	NOUN
fis-5090	19	24	of	of	ADP
fis-5090	19	25	laser	laser	NOUN
fis-5090	19	26	impacts	impact	NOUN
fis-5090	19	27	in	in	ADP
fis-5090	19	28	an	an	DET
fis-5090	19	29	acceptable	acceptable	ADJ
fis-5090	19	30	time	time	NOUN
fis-5090	20	1	[	[	X
fis-5090	20	2	6	6	NUM
fis-5090	20	3	]	]	PUNCT
fis-5090	20	4	.	.	PUNCT
fis-5090	21	1	the	the	DET
fis-5090	21	2	result	result	NOUN
fis-5090	21	3	of	of	ADP
fis-5090	21	4	numerical	numerical	ADJ
fis-5090	21	5	modeling	modeling	NOUN
fis-5090	21	6	of	of	ADP
fis-5090	21	7	the	the	DET
fis-5090	21	8	laser	laser	NOUN
fis-5090	21	9	shock	shock	NOUN
fis-5090	21	10	peening	peening	NOUN
fis-5090	21	11	process	process	NOUN
fis-5090	21	12	is	be	AUX
fis-5090	21	13	influenced	influence	VERB
fis-5090	21	14	by	by	ADP
fis-5090	21	15	many	many	ADJ
fis-5090	21	16	parameters	parameter	NOUN
fis-5090	21	17	,	,	PUNCT
fis-5090	21	18	in	in	ADP
fis-5090	21	19	particular	particular	ADJ
fis-5090	21	20	such	such	ADJ
fis-5090	21	21	values	value	NOUN
fis-5090	21	22	as	as	ADP
fis-5090	21	23	the	the	DET
fis-5090	21	24	size	size	NOUN
fis-5090	21	25	and	and	CCONJ
fis-5090	21	26	shape	shape	NOUN
fis-5090	21	27	of	of	ADP
fis-5090	21	28	the	the	DET
fis-5090	21	29	laser	laser	NOUN
fis-5090	21	30	spot	spot	NOUN
fis-5090	21	31	,	,	PUNCT
fis-5090	21	32	profile	profile	NOUN
fis-5090	21	33	and	and	CCONJ
fis-5090	21	34	material	material	NOUN
fis-5090	21	35	model	model	NOUN
fis-5090	21	36	.	.	PUNCT
fis-5090	22	1	the	the	DET
fis-5090	22	2	use	use	NOUN
fis-5090	22	3	of	of	ADP
fis-5090	22	4	machine	machine	NOUN
fis-5090	22	5	learning	learning	NOUN
fis-5090	22	6	methods	method	NOUN
fis-5090	22	7	for	for	ADP
fis-5090	22	8	predicting	predict	VERB
fis-5090	22	9	residual	residual	ADJ
fis-5090	22	10	stresses	stress	NOUN
fis-5090	22	11	caused	cause	VERB
fis-5090	22	12	by	by	ADP
fis-5090	22	13	the	the	DET
fis-5090	22	14	lsp	lsp	PROPN
fis-5090	22	15	allows	allow	VERB
fis-5090	22	16	us	we	PRON
fis-5090	22	17	to	to	PART
fis-5090	22	18	bypass	bypass	VERB
fis-5090	22	19	the	the	DET
fis-5090	22	20	difficulties	difficulty	NOUN
fis-5090	22	21	associated	associate	VERB
fis-5090	22	22	with	with	ADP
fis-5090	22	23	modeling	model	VERB
fis-5090	22	24	the	the	DET
fis-5090	22	25	process	process	NOUN
fis-5090	22	26	(	(	PUNCT
fis-5090	22	27	solving	solve	VERB
fis-5090	22	28	the	the	DET
fis-5090	22	29	dynamic	dynamic	ADJ
fis-5090	22	30	problem	problem	NOUN
fis-5090	22	31	)	)	PUNCT
fis-5090	22	32	of	of	ADP
fis-5090	22	33	machining	machining	NOUN
fis-5090	22	34	in	in	ADP
fis-5090	22	35	each	each	DET
fis-5090	22	36	specific	specific	ADJ
fis-5090	22	37	case	case	NOUN
fis-5090	22	38	.	.	PUNCT
fis-5090	23	1	recently	recently	ADV
fis-5090	23	2	,	,	PUNCT
fis-5090	23	3	the	the	DET
fis-5090	23	4	growth	growth	NOUN
fis-5090	23	5	of	of	ADP
fis-5090	23	6	computing	compute	VERB
fis-5090	23	7	power	power	NOUN
fis-5090	23	8	and	and	CCONJ
fis-5090	23	9	the	the	DET
fis-5090	23	10	emergence	emergence	NOUN
fis-5090	23	11	of	of	ADP
fis-5090	23	12	new	new	ADJ
fis-5090	23	13	algorithms	algorithm	NOUN
fis-5090	23	14	opens	open	VERB
fis-5090	23	15	up	up	ADP
fis-5090	23	16	opportunities	opportunity	NOUN
fis-5090	23	17	for	for	ADP
fis-5090	23	18	the	the	DET
fis-5090	23	19	application	application	NOUN
fis-5090	23	20	of	of	ADP
fis-5090	23	21	methods	method	NOUN
fis-5090	23	22	based	base	VERB
fis-5090	23	23	on	on	ADP
fis-5090	23	24	the	the	DET
fis-5090	23	25	big	big	ADJ
fis-5090	23	26	data	datum	NOUN
fis-5090	23	27	processing	processing	NOUN
fis-5090	23	28	.	.	PUNCT
fis-5090	24	1	to	to	PART
fis-5090	24	2	solve	solve	VERB
fis-5090	24	3	complex	complex	ADJ
fis-5090	24	4	problems	problem	NOUN
fis-5090	24	5	in	in	ADP
fis-5090	24	6	predicting	predict	VERB
fis-5090	24	7	mechanical	mechanical	ADJ
fis-5090	24	8	properties	property	NOUN
fis-5090	24	9	,	,	PUNCT
fis-5090	24	10	some	some	DET
fis-5090	24	11	authors	author	NOUN
fis-5090	24	12	use	use	VERB
fis-5090	24	13	approaches	approach	NOUN
fis-5090	24	14	based	base	VERB
fis-5090	24	15	on	on	ADP
fis-5090	24	16	machine	machine	NOUN
fis-5090	24	17	learning	learning	NOUN
fis-5090	24	18	,	,	PUNCT
fis-5090	24	19	in	in	ADP
fis-5090	24	20	particular	particular	ADJ
fis-5090	24	21	with	with	ADP
fis-5090	24	22	the	the	DET
fis-5090	24	23	help	help	NOUN
fis-5090	24	24	of	of	ADP
fis-5090	24	25	neural	neural	ADJ
fis-5090	24	26	networks	network	NOUN
fis-5090	24	27	[	[	X
fis-5090	24	28	7,11,21	7,11,21	NUM
fis-5090	24	29	]	]	PUNCT
fis-5090	24	30	.	.	PUNCT
fis-5090	25	1	being	be	AUX
fis-5090	25	2	one	one	NUM
fis-5090	25	3	of	of	ADP
fis-5090	25	4	the	the	DET
fis-5090	25	5	most	most	ADV
fis-5090	25	6	important	important	ADJ
fis-5090	25	7	trend	trend	NOUN
fis-5090	25	8	of	of	ADP
fis-5090	25	9	artificial	artificial	ADJ
fis-5090	25	10	intelligence	intelligence	NOUN
fis-5090	25	11	,	,	PUNCT
fis-5090	25	12	artificial	artificial	ADJ
fis-5090	25	13	neural	neural	ADJ
fis-5090	25	14	network	network	NOUN
fis-5090	25	15	(	(	PUNCT
fis-5090	25	16	ann	ann	PROPN
fis-5090	25	17	)	)	PUNCT
fis-5090	25	18	allows	allow	VERB
fis-5090	25	19	scientist	scientist	NOUN
fis-5090	25	20	to	to	PART
fis-5090	25	21	build	build	VERB
fis-5090	25	22	a	a	DET
fis-5090	25	23	model	model	NOUN
fis-5090	25	24	that	that	PRON
fis-5090	25	25	could	could	AUX
fis-5090	25	26	solve	solve	VERB
fis-5090	25	27	complex	complex	ADJ
fis-5090	25	28	prediction	prediction	NOUN
fis-5090	25	29	problems	problem	NOUN
fis-5090	25	30	by	by	ADP
fis-5090	25	31	imitating	imitate	VERB
fis-5090	25	32	,	,	PUNCT
fis-5090	25	33	in	in	ADP
fis-5090	25	34	a	a	DET
fis-5090	25	35	sense	sense	NOUN
fis-5090	25	36	,	,	PUNCT
fis-5090	25	37	the	the	DET
fis-5090	25	38	behavior	behavior	NOUN
fis-5090	25	39	of	of	ADP
fis-5090	25	40	network	network	NOUN
fis-5090	25	41	structures	structure	NOUN
fis-5090	25	42	of	of	ADP
fis-5090	25	43	the	the	DET
fis-5090	25	44	human	human	ADJ
fis-5090	25	45	brain	brain	NOUN
fis-5090	26	1	[	[	X
fis-5090	26	2	8	8	NUM
fis-5090	26	3	]	]	PUNCT
fis-5090	26	4	.	.	PUNCT
fis-5090	27	1	for	for	ADP
fis-5090	27	2	example	example	NOUN
fis-5090	27	3	,	,	PUNCT
fis-5090	27	4	the	the	DET
fis-5090	27	5	authors	author	NOUN
fis-5090	27	6	of	of	ADP
fis-5090	27	7	[	[	X
fis-5090	27	8	9	9	NUM
fis-5090	27	9	]	]	PUNCT
fis-5090	27	10	applied	apply	VERB
fis-5090	27	11	this	this	DET
fis-5090	27	12	algorithm	algorithm	NOUN
fis-5090	27	13	to	to	PART
fis-5090	27	14	predict	predict	VERB
fis-5090	27	15	the	the	DET
fis-5090	27	16	mechanical	mechanical	ADJ
fis-5090	27	17	properties	property	NOUN
fis-5090	27	18	(	(	PUNCT
fis-5090	27	19	roughness	roughness	NOUN
fis-5090	27	20	,	,	PUNCT
fis-5090	27	21	microhardness	microhardness	ADJ
fis-5090	27	22	and	and	CCONJ
fis-5090	27	23	residual	residual	ADJ
fis-5090	27	24	surface	surface	NOUN
fis-5090	27	25	stresses	stress	NOUN
fis-5090	27	26	)	)	PUNCT
fis-5090	27	27	of	of	ADP
fis-5090	27	28	stainless	stainless	ADJ
fis-5090	27	29	steel	steel	NOUN
fis-5090	27	30	subjected	subject	VERB
fis-5090	27	31	to	to	ADP
fis-5090	27	32	shot	shot	NOUN
fis-5090	27	33	blasting	blasting	NOUN
fis-5090	27	34	.	.	PUNCT
fis-5090	28	1	the	the	DET
fis-5090	28	2	results	result	NOUN
fis-5090	28	3	obtained	obtain	VERB
fis-5090	28	4	showed	show	VERB
fis-5090	28	5	that	that	SCONJ
fis-5090	28	6	the	the	DET
fis-5090	28	7	correlation	correlation	NOUN
fis-5090	28	8	coefficient	coefficient	NOUN
fis-5090	28	9	r2	r2	PROPN
fis-5090	28	10	of	of	ADP
fis-5090	28	11	experimental	experimental	ADJ
fis-5090	28	12	and	and	CCONJ
fis-5090	28	13	validation	validation	NOUN
fis-5090	28	14	data	datum	NOUN
fis-5090	28	15	exceeded	exceed	VERB
fis-5090	28	16	0.99	0.99	NUM
fis-5090	28	17	.	.	PUNCT
fis-5090	29	1	in	in	ADP
fis-5090	29	2	[	[	X
fis-5090	29	3	10	10	NUM
fis-5090	29	4	]	]	PUNCT
fis-5090	29	5	,	,	PUNCT
fis-5090	29	6	a	a	DET
fis-5090	29	7	model	model	NOUN
fis-5090	29	8	for	for	ADP
fis-5090	29	9	predicting	predict	VERB
fis-5090	29	10	residual	residual	ADJ
fis-5090	29	11	stresses	stress	NOUN
fis-5090	29	12	and	and	CCONJ
fis-5090	29	13	hardness	hardness	NOUN
fis-5090	29	14	using	use	VERB
fis-5090	29	15	ann	ann	PROPN
fis-5090	29	16	to	to	PART
fis-5090	29	17	optimize	optimize	VERB
fis-5090	29	18	ultrasonic	ultrasonic	ADJ
fis-5090	29	19	processing	processing	NOUN
fis-5090	29	20	parameters	parameter	NOUN
fis-5090	29	21	was	be	AUX
fis-5090	29	22	developed	develop	VERB
fis-5090	29	23	and	and	CCONJ
fis-5090	29	24	it	it	PRON
fis-5090	29	25	was	be	AUX
fis-5090	29	26	shown	show	VERB
fis-5090	29	27	that	that	SCONJ
fis-5090	29	28	the	the	DET
fis-5090	29	29	predicted	predict	VERB
fis-5090	29	30	data	datum	NOUN
fis-5090	29	31	agreed	agree	VERB
fis-5090	29	32	well	well	ADV
fis-5090	29	33	with	with	ADP
fis-5090	29	34	the	the	DET
fis-5090	29	35	experimental	experimental	ADJ
fis-5090	29	36	data	datum	NOUN
fis-5090	29	37	.	.	PUNCT
fis-5090	30	1	nevertheless	nevertheless	ADV
fis-5090	30	2	,	,	PUNCT
fis-5090	30	3	there	there	PRON
fis-5090	30	4	are	be	VERB
fis-5090	30	5	few	few	ADJ
fis-5090	30	6	works	work	NOUN
fis-5090	30	7	devoted	devote	VERB
fis-5090	30	8	to	to	ADP
fis-5090	30	9	the	the	DET
fis-5090	30	10	application	application	NOUN
fis-5090	30	11	of	of	ADP
fis-5090	30	12	the	the	DET
fis-5090	30	13	artificial	artificial	ADJ
fis-5090	30	14	neural	neural	ADJ
fis-5090	30	15	network	network	NOUN
fis-5090	30	16	technique	technique	NOUN
fis-5090	30	17	for	for	ADP
fis-5090	30	18	predicting	predict	VERB
fis-5090	30	19	residual	residual	ADJ
fis-5090	30	20	stresses	stress	NOUN
fis-5090	30	21	after	after	ADP
fis-5090	30	22	laser	laser	NOUN
fis-5090	30	23	shock	shock	NOUN
fis-5090	30	24	peening	peene	VERB
fis-5090	30	25	and	and	CCONJ
fis-5090	30	26	determining	determine	VERB
fis-5090	30	27	the	the	DET
fis-5090	30	28	optimal	optimal	ADJ
fis-5090	30	29	impact	impact	NOUN
fis-5090	30	30	parameters	parameter	NOUN
fis-5090	30	31	.	.	PUNCT
fis-5090	31	1	in	in	ADP
fis-5090	31	2	this	this	DET
fis-5090	31	3	paper	paper	NOUN
fis-5090	31	4	,	,	PUNCT
fis-5090	31	5	a	a	DET
fis-5090	31	6	neural	neural	ADJ
fis-5090	31	7	network	network	NOUN
fis-5090	31	8	model	model	NOUN
fis-5090	31	9	is	be	AUX
fis-5090	31	10	developed	develop	VERB
fis-5090	31	11	to	to	PART
fis-5090	31	12	predict	predict	VERB
fis-5090	31	13	residual	residual	ADJ
fis-5090	31	14	stresses	stress	NOUN
fis-5090	31	15	and	and	CCONJ
fis-5090	31	16	their	their	PRON
fis-5090	31	17	penetration	penetration	NOUN
fis-5090	31	18	depth	depth	NOUN
fis-5090	31	19	for	for	ADP
fis-5090	31	20	titanium	titanium	NOUN
fis-5090	31	21	alloy	alloy	NOUN
fis-5090	31	22	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	31	23	.	.	PUNCT
fis-5090	32	1	to	to	PART
fis-5090	32	2	train	train	VERB
fis-5090	32	3	the	the	DET
fis-5090	32	4	model	model	NOUN
fis-5090	32	5	,	,	PUNCT
fis-5090	32	6	a	a	DET
fis-5090	32	7	numerical	numerical	ADJ
fis-5090	32	8	-	-	PUNCT
fis-5090	32	9	experimental	experimental	ADJ
fis-5090	32	10	method	method	NOUN
fis-5090	32	11	is	be	AUX
fis-5090	32	12	implemented	implement	VERB
fis-5090	32	13	,	,	PUNCT
fis-5090	32	14	which	which	PRON
fis-5090	32	15	includes	include	VERB
fis-5090	32	16	an	an	DET
fis-5090	32	17	experimental	experimental	ADJ
fis-5090	32	18	study	study	NOUN
fis-5090	32	19	of	of	ADP
fis-5090	32	20	the	the	DET
fis-5090	32	21	effect	effect	NOUN
fis-5090	32	22	of	of	ADP
fis-5090	32	23	different	different	ADJ
fis-5090	32	24	modes	mode	NOUN
fis-5090	32	25	of	of	ADP
fis-5090	32	26	lsp	lsp	PROPN
fis-5090	32	27	on	on	ADP
fis-5090	32	28	the	the	DET
fis-5090	32	29	depth	depth	NOUN
fis-5090	32	30	and	and	CCONJ
fis-5090	32	31	distribution	distribution	NOUN
fis-5090	32	32	of	of	ADP
fis-5090	32	33	residual	residual	ADJ
fis-5090	32	34	stresses	stress	NOUN
fis-5090	32	35	.	.	PUNCT
fis-5090	33	1	based	base	VERB
fis-5090	33	2	on	on	ADP
fis-5090	33	3	the	the	DET
fis-5090	33	4	results	result	NOUN
fis-5090	33	5	of	of	ADP
fis-5090	33	6	the	the	DET
fis-5090	33	7	experimental	experimental	ADJ
fis-5090	33	8	study	study	NOUN
fis-5090	33	9	,	,	PUNCT
fis-5090	33	10	a	a	DET
fis-5090	33	11	numerical	numerical	ADJ
fis-5090	33	12	model	model	NOUN
fis-5090	33	13	is	be	AUX
fis-5090	33	14	verified	verify	VERB
fis-5090	33	15	to	to	PART
fis-5090	33	16	simulate	simulate	VERB
fis-5090	33	17	the	the	DET
fis-5090	33	18	process	process	NOUN
fis-5090	33	19	and	and	CCONJ
fis-5090	33	20	prepare	prepare	VERB
fis-5090	33	21	a	a	DET
fis-5090	33	22	database	database	NOUN
fis-5090	33	23	for	for	ADP
fis-5090	33	24	training	train	VERB
fis-5090	33	25	the	the	DET
fis-5090	33	26	ann	ann	PROPN
fis-5090	33	27	.	.	PUNCT
fis-5090	34	1	materials	material	NOUN
fis-5090	34	2	and	and	CCONJ
fis-5090	34	3	methods	method	NOUN
fis-5090	34	4	training	train	VERB
fis-5090	34	5	dataset	dataset	NOUN
fis-5090	34	6	lat	lat	NOUN
fis-5090	34	7	samples	sample	NOUN
fis-5090	34	8	of	of	ADP
fis-5090	34	9	titanium	titanium	NOUN
fis-5090	34	10	alloy	alloy	NOUN
fis-5090	34	11	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	34	12	with	with	ADP
fis-5090	34	13	characteristic	characteristic	ADJ
fis-5090	34	14	dimensions	dimension	NOUN
fis-5090	34	15	of	of	ADP
fis-5090	34	16	40x40x2	40x40x2	PROPN
fis-5090	34	17	mm	mm	PROPN
fis-5090	34	18	were	be	AUX
fis-5090	34	19	used	use	VERB
fis-5090	34	20	as	as	ADP
fis-5090	34	21	a	a	DET
fis-5090	34	22	material	material	NOUN
fis-5090	34	23	for	for	ADP
fis-5090	34	24	research	research	NOUN
fis-5090	34	25	.	.	PUNCT
fis-5090	35	1	the	the	DET
fis-5090	35	2	chemical	chemical	NOUN
fis-5090	35	3	composition	composition	NOUN
fis-5090	35	4	of	of	ADP
fis-5090	35	5	the	the	DET
fis-5090	35	6	alloy	alloy	NOUN
fis-5090	35	7	is	be	AUX
fis-5090	35	8	presented	present	VERB
fis-5090	35	9	in	in	ADP
fis-5090	35	10	tab	tab	NOUN
fis-5090	35	11	.	.	PUNCT
fis-5090	36	1	1	1	NUM
fis-5090	36	2	(	(	PUNCT
fis-5090	36	3	gost	gost	PROPN
fis-5090	36	4	19807	19807	NUM
fis-5090	36	5	-	-	SYM
fis-5090	36	6	91	91	NUM
fis-5090	36	7	)	)	PUNCT
fis-5090	36	8	.	.	PUNCT
fis-5090	37	1	results	result	NOUN
fis-5090	37	2	of	of	ADP
fis-5090	37	3	34	34	NUM
fis-5090	37	4	lsp	lsp	PROPN
fis-5090	37	5	experiments	experiment	NOUN
fis-5090	37	6	were	be	AUX
fis-5090	37	7	used	use	VERB
fis-5090	37	8	to	to	PART
fis-5090	37	9	train	train	VERB
fis-5090	37	10	the	the	DET
fis-5090	37	11	artificial	artificial	ADJ
fis-5090	37	12	neural	neural	ADJ
fis-5090	37	13	network	network	NOUN
fis-5090	37	14	and	and	CCONJ
fis-5090	37	15	verify	verify	VERB
fis-5090	37	16	the	the	DET
fis-5090	37	17	model	model	NOUN
fis-5090	37	18	.	.	PUNCT
fis-5090	38	1	the	the	DET
fis-5090	38	2	following	follow	VERB
fis-5090	38	3	parameters	parameter	NOUN
fis-5090	38	4	are	be	AUX
fis-5090	38	5	the	the	DET
fis-5090	38	6	measured	measure	VERB
fis-5090	38	7	target	target	NOUN
fis-5090	38	8	characteristics	characteristic	NOUN
fis-5090	38	9	:	:	PUNCT
fis-5090	38	10	the	the	DET
fis-5090	38	11	residual	residual	ADJ
fis-5090	38	12	stresses	stress	NOUN
fis-5090	38	13	on	on	ADP
fis-5090	38	14	the	the	DET
fis-5090	38	15	surface	surface	NOUN
fis-5090	38	16			PROPN
fis-5090	38	17	res	re	NOUN
fis-5090	38	18	0	0	NUM
fis-5090	38	19	,	,	PUNCT
fis-5090	38	20	the	the	DET
fis-5090	38	21	maximum	maximum	ADJ
fis-5090	38	22	compressive	compressive	ADJ
fis-5090	38	23	residual	residual	ADJ
fis-5090	38	24	stresses	stress	NOUN
fis-5090	38	25	in	in	ADP
fis-5090	38	26	the	the	DET
fis-5090	38	27	surface	surface	NOUN
fis-5090	38	28	layer	layer	PROPN
fis-5090	38	29	res	re	NOUN
fis-5090	38	30	max	max	PROPN
fis-5090	38	31	and	and	CCONJ
fis-5090	38	32	modified	modify	VERB
fis-5090	38	33	layer	layer	NOUN
fis-5090	38	34	depth	depth	NOUN
fis-5090	38	35	h	h	NOUN
fis-5090	38	36	.distribution	.distribution	NOUN
fis-5090	38	37	of	of	ADP
fis-5090	38	38	residual	residual	ADJ
fis-5090	38	39	stresses	stress	NOUN
fis-5090	38	40	in	in	ADP
fis-5090	38	41	depth	depth	NOUN
fis-5090	38	42	after	after	ADP
fis-5090	38	43	laser	laser	NOUN
fis-5090	38	44	l	l	PROPN
fis-5090	38	45	f	f	PROPN
fis-5090	38	46	m.verezhak	m.verezhak	VERB
fis-5090	38	47	et	et	PROPN
fis-5090	38	48	alii	alii	PROPN
fis-5090	38	49	,	,	PUNCT
fis-5090	38	50	frattura	frattura	PROPN
fis-5090	38	51	ed	ed	PROPN
fis-5090	38	52	integrità	integrità	PROPN
fis-5090	38	53	strutturale	strutturale	PROPN
fis-5090	38	54	,	,	PUNCT
fis-5090	38	55	70	70	NUM
fis-5090	38	56	(	(	PUNCT
fis-5090	38	57	2024	2024	NUM
fis-5090	38	58	)	)	PUNCT
fis-5090	38	59	121	121	NUM
fis-5090	38	60	-	-	SYM
fis-5090	38	61	132	132	NUM
fis-5090	38	62	;	;	PUNCT
fis-5090	38	63	doi	doi	NOUN
fis-5090	38	64	:	:	PUNCT
fis-5090	38	65	10.3221	10.3221	NUM
fis-5090	38	66	/	/	SYM
fis-5090	38	67	igf	igf	NOUN
fis-5090	38	68	-	-	ADJ
fis-5090	38	69	esis.70.07	esis.70.07	ADJ
fis-5090	38	70	123	123	NUM
fis-5090	38	71	shock	shock	NOUN
fis-5090	38	72	peening	peening	NOUN
fis-5090	38	73	were	be	AUX
fis-5090	38	74	measured	measure	VERB
fis-5090	38	75	by	by	ADP
fis-5090	38	76	hole	hole	NOUN
fis-5090	38	77	drilling	drilling	NOUN
fis-5090	38	78	of	of	ADP
fis-5090	38	79	experimental	experimental	ADJ
fis-5090	38	80	specimens	specimen	NOUN
fis-5090	38	81	.	.	PUNCT
fis-5090	39	1	a	a	DET
fis-5090	39	2	characteristic	characteristic	ADJ
fis-5090	39	3	plot	plot	NOUN
fis-5090	39	4	of	of	ADP
fis-5090	39	5	residual	residual	ADJ
fis-5090	39	6	stress	stress	NOUN
fis-5090	39	7	distribution	distribution	NOUN
fis-5090	39	8	in	in	ADP
fis-5090	39	9	depth	depth	NOUN
fis-5090	39	10	is	be	AUX
fis-5090	39	11	shown	show	VERB
fis-5090	39	12	in	in	ADP
fis-5090	39	13	fig	fig	NOUN
fis-5090	39	14	.	.	PUNCT
fis-5090	40	1	1	1	X
fis-5090	40	2	.	.	X
fis-5090	40	3	ti	ti	PROPN
fis-5090	40	4	al	al	PROPN
fis-5090	40	5	v	v	PROPN
fis-5090	40	6	si	si	PROPN
fis-5090	40	7	fe	fe	PROPN
fis-5090	40	8	c	c	PROPN
fis-5090	40	9	0	0	NUM
fis-5090	41	1	h	h	PROPN
fis-5090	42	1	base	base	NOUN
fis-5090	42	2	5.3	5.3	NUM
fis-5090	42	3	–	–	PUNCT
fis-5090	42	4	6.8	6.8	NUM
fis-5090	42	5	3.5	3.5	NUM
fis-5090	42	6	–	–	PUNCT
fis-5090	42	7	5.3	5.3	NUM
fis-5090	42	8	<	<	X
fis-5090	42	9	0.1	0.1	NUM
fis-5090	42	10	<	<	X
fis-5090	42	11	0.3	0.3	NUM
fis-5090	42	12	<	<	X
fis-5090	42	13	0.1	0.1	NUM
fis-5090	42	14	<	<	X
fis-5090	42	15	0.2	0.2	NUM
fis-5090	42	16	<	<	X
fis-5090	42	17	0.015	0.015	NUM
fis-5090	42	18	table	table	NOUN
fis-5090	42	19	1	1	NUM
fis-5090	42	20	:	:	PUNCT
fis-5090	42	21	chemical	chemical	ADJ
fis-5090	42	22	composition	composition	NOUN
fis-5090	42	23	of	of	ADP
fis-5090	42	24	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	42	25	alloy	alloy	NOUN
fis-5090	42	26	(	(	PUNCT
fis-5090	42	27	wt%	wt%	NUM
fis-5090	42	28	)	)	PUNCT
fis-5090	42	29	.	.	PUNCT
fis-5090	43	1	figure	figure	VERB
fis-5090	43	2	1	1	NUM
fis-5090	43	3	:	:	PUNCT
fis-5090	43	4	distribution	distribution	NOUN
fis-5090	43	5	of	of	ADP
fis-5090	43	6	residual	residual	ADJ
fis-5090	43	7	stresses	stress	NOUN
fis-5090	43	8	in	in	ADP
fis-5090	43	9	ti-6al-4v	ti-6al-4v	PROPN
fis-5090	43	10	after	after	ADP
fis-5090	43	11	lsp	lsp	PROPN
fis-5090	43	12	with	with	ADP
fis-5090	43	13	energy	energy	NOUN
fis-5090	43	14	density	density	NOUN
fis-5090	43	15	of	of	ADP
fis-5090	43	16	20	20	NUM
fis-5090	43	17	gw	gw	NOUN
fis-5090	43	18	/	/	SYM
fis-5090	43	19	cm2	cm2	NOUN
fis-5090	43	20	after	after	ADP
fis-5090	43	21	two	two	NUM
fis-5090	43	22	pass	pass	NOUN
fis-5090	43	23	.	.	PUNCT
fis-5090	44	1	laser	laser	NOUN
fis-5090	44	2	shock	shock	NOUN
fis-5090	44	3	peening	peene	VERB
fis-5090	44	4	model	model	NOUN
fis-5090	44	5	and	and	CCONJ
fis-5090	44	6	verification	verification	NOUN
fis-5090	44	7	in	in	ADP
fis-5090	44	8	order	order	NOUN
fis-5090	44	9	to	to	PART
fis-5090	44	10	calculate	calculate	VERB
fis-5090	44	11	residual	residual	ADJ
fis-5090	44	12	stresses	stress	NOUN
fis-5090	44	13	,	,	PUNCT
fis-5090	44	14	an	an	DET
fis-5090	44	15	approach	approach	NOUN
fis-5090	44	16	involving	involve	VERB
fis-5090	44	17	the	the	DET
fis-5090	44	18	solution	solution	NOUN
fis-5090	44	19	of	of	ADP
fis-5090	44	20	two	two	NUM
fis-5090	44	21	coupled	couple	VERB
fis-5090	44	22	problems	problem	NOUN
fis-5090	44	23	was	be	AUX
fis-5090	44	24	used	use	VERB
fis-5090	44	25	,	,	PUNCT
fis-5090	44	26	similar	similar	ADJ
fis-5090	44	27	to	to	ADP
fis-5090	44	28	the	the	DET
fis-5090	44	29	idea	idea	NOUN
fis-5090	44	30	proposed	propose	VERB
fis-5090	44	31	in	in	ADP
fis-5090	44	32	[	[	X
fis-5090	44	33	19	19	NUM
fis-5090	44	34	]	]	PUNCT
fis-5090	44	35	.	.	PUNCT
fis-5090	45	1	the	the	DET
fis-5090	45	2	problem	problem	NOUN
fis-5090	45	3	was	be	AUX
fis-5090	45	4	solved	solve	VERB
fis-5090	45	5	in	in	ADP
fis-5090	45	6	a	a	DET
fis-5090	45	7	three	three	NUM
fis-5090	45	8	-	-	PUNCT
fis-5090	45	9	dimensional	dimensional	ADJ
fis-5090	45	10	formulation	formulation	NOUN
fis-5090	45	11	taking	take	VERB
fis-5090	45	12	into	into	ADP
fis-5090	45	13	account	account	NOUN
fis-5090	45	14	the	the	DET
fis-5090	45	15	finite	finite	ADJ
fis-5090	45	16	size	size	NOUN
fis-5090	45	17	of	of	ADP
fis-5090	45	18	the	the	DET
fis-5090	45	19	laser	laser	NOUN
fis-5090	45	20	spot	spot	NOUN
fis-5090	45	21	.	.	PUNCT
fis-5090	46	1	at	at	ADP
fis-5090	46	2	the	the	DET
fis-5090	46	3	first	first	ADJ
fis-5090	46	4	step	step	NOUN
fis-5090	46	5	,	,	PUNCT
fis-5090	46	6	the	the	DET
fis-5090	46	7	dynamic	dynamic	ADJ
fis-5090	46	8	problem	problem	NOUN
fis-5090	46	9	of	of	ADP
fis-5090	46	10	elastic	elastic	ADJ
fis-5090	46	11	-	-	PUNCT
fis-5090	46	12	plastic	plastic	NOUN
fis-5090	46	13	wave	wave	NOUN
fis-5090	46	14	propagation	propagation	NOUN
fis-5090	46	15	in	in	ADP
fis-5090	46	16	the	the	DET
fis-5090	46	17	material	material	NOUN
fis-5090	46	18	was	be	AUX
fis-5090	46	19	solved	solve	VERB
fis-5090	46	20	.	.	PUNCT
fis-5090	47	1	the	the	DET
fis-5090	47	2	stress	stress	NOUN
fis-5090	47	3	,	,	PUNCT
fis-5090	47	4	strain	strain	NOUN
fis-5090	47	5	,	,	PUNCT
fis-5090	47	6	and	and	CCONJ
fis-5090	47	7	displacement	displacement	NOUN
fis-5090	47	8	fields	field	NOUN
fis-5090	47	9	obtained	obtain	VERB
fis-5090	47	10	during	during	ADP
fis-5090	47	11	the	the	DET
fis-5090	47	12	dynamic	dynamic	ADJ
fis-5090	47	13	explicit	explicit	ADJ
fis-5090	47	14	step	step	NOUN
fis-5090	47	15	are	be	AUX
fis-5090	47	16	used	use	VERB
fis-5090	47	17	as	as	ADP
fis-5090	47	18	the	the	DET
fis-5090	47	19	initial	initial	ADJ
fis-5090	47	20	conditions	condition	NOUN
fis-5090	47	21	for	for	ADP
fis-5090	47	22	the	the	DET
fis-5090	47	23	second	second	ADJ
fis-5090	47	24	step	step	NOUN
fis-5090	47	25	.	.	PUNCT
fis-5090	48	1	at	at	ADP
fis-5090	48	2	this	this	DET
fis-5090	48	3	step	step	NOUN
fis-5090	48	4	,	,	PUNCT
fis-5090	48	5	a	a	DET
fis-5090	48	6	static	static	ADJ
fis-5090	48	7	equilibrium	equilibrium	NOUN
fis-5090	48	8	analysis	analysis	NOUN
fis-5090	48	9	is	be	AUX
fis-5090	48	10	performed	perform	VERB
fis-5090	48	11	to	to	PART
fis-5090	48	12	determine	determine	VERB
fis-5090	48	13	the	the	DET
fis-5090	48	14	residual	residual	ADJ
fis-5090	48	15	stress	stress	NOUN
fis-5090	48	16	distribution	distribution	NOUN
fis-5090	48	17	.	.	PUNCT
fis-5090	49	1	the	the	DET
fis-5090	49	2	component	component	NOUN
fis-5090	49	3	is	be	AUX
fis-5090	49	4	not	not	PART
fis-5090	49	5	subjected	subject	VERB
fis-5090	49	6	external	external	ADJ
fis-5090	49	7	loading	loading	NOUN
fis-5090	49	8	at	at	ADP
fis-5090	49	9	this	this	DET
fis-5090	49	10	stage	stage	NOUN
fis-5090	49	11	and	and	CCONJ
fis-5090	49	12	the	the	DET
fis-5090	49	13	stress	stress	NOUN
fis-5090	49	14	field	field	NOUN
fis-5090	49	15	is	be	AUX
fis-5090	49	16	induced	induce	VERB
fis-5090	49	17	by	by	ADP
fis-5090	49	18	the	the	DET
fis-5090	49	19	plastic	plastic	NOUN
fis-5090	49	20	strain	strain	NOUN
fis-5090	49	21	that	that	PRON
fis-5090	49	22	occurs	occur	VERB
fis-5090	49	23	in	in	ADP
fis-5090	49	24	the	the	DET
fis-5090	49	25	dynamic	dynamic	ADJ
fis-5090	49	26	step	step	NOUN
fis-5090	50	1	[	[	X
fis-5090	50	2	22	22	NUM
fis-5090	50	3	]	]	PUNCT
fis-5090	50	4	.	.	PUNCT
fis-5090	51	1	to	to	PART
fis-5090	51	2	conduct	conduct	VERB
fis-5090	51	3	the	the	DET
fis-5090	51	4	static	static	ADJ
fis-5090	51	5	equilibrium	equilibrium	NOUN
fis-5090	51	6	analysis	analysis	NOUN
fis-5090	51	7	,	,	PUNCT
fis-5090	51	8	the	the	DET
fis-5090	51	9	implicit	implicit	ADJ
fis-5090	51	10	solver	solver	NOUN
fis-5090	51	11	is	be	AUX
fis-5090	51	12	used	use	VERB
fis-5090	51	13	that	that	SCONJ
fis-5090	51	14	allows	allow	VERB
fis-5090	51	15	increasing	increase	VERB
fis-5090	51	16	the	the	DET
fis-5090	51	17	stability	stability	NOUN
fis-5090	51	18	of	of	ADP
fis-5090	51	19	the	the	DET
fis-5090	51	20	solving	solving	NOUN
fis-5090	51	21	process	process	NOUN
fis-5090	51	22	.	.	PUNCT
fis-5090	52	1	for	for	ADP
fis-5090	52	2	the	the	DET
fis-5090	52	3	next	next	ADJ
fis-5090	52	4	laser	laser	NOUN
fis-5090	52	5	shot	shot	NOUN
fis-5090	52	6	,	,	PUNCT
fis-5090	52	7	the	the	DET
fis-5090	52	8	results	result	NOUN
fis-5090	52	9	provided	provide	VERB
fis-5090	52	10	by	by	ADP
fis-5090	52	11	the	the	DET
fis-5090	52	12	static	static	ADJ
fis-5090	52	13	analysis	analysis	NOUN
fis-5090	52	14	are	be	AUX
fis-5090	52	15	transferred	transfer	VERB
fis-5090	52	16	as	as	ADP
fis-5090	52	17	initial	initial	ADJ
fis-5090	52	18	conditions	condition	NOUN
fis-5090	52	19	for	for	ADP
fis-5090	52	20	the	the	DET
fis-5090	52	21	following	follow	VERB
fis-5090	52	22	dynamic	dynamic	ADJ
fis-5090	52	23	step	step	NOUN
fis-5090	52	24	.	.	PUNCT
fis-5090	53	1	to	to	PART
fis-5090	53	2	simulate	simulate	VERB
fis-5090	53	3	laser	laser	NOUN
fis-5090	53	4	irradiation	irradiation	NOUN
fis-5090	53	5	,	,	PUNCT
fis-5090	53	6	a	a	DET
fis-5090	53	7	pressure	pressure	NOUN
fis-5090	53	8	pulse	pulse	NOUN
fis-5090	53	9	was	be	AUX
fis-5090	53	10	set	set	VERB
fis-5090	53	11	at	at	ADP
fis-5090	53	12	the	the	DET
fis-5090	53	13	target	target	NOUN
fis-5090	53	14	boundary	boundary	ADJ
fis-5090	53	15	in	in	ADP
fis-5090	53	16	the	the	DET
fis-5090	53	17	impact	impact	NOUN
fis-5090	53	18	region	region	NOUN
fis-5090	53	19	similarly	similarly	ADV
fis-5090	53	20	to	to	ADP
fis-5090	53	21	[	[	PUNCT
fis-5090	53	22	16	16	NUM
fis-5090	53	23	]	]	PUNCT
fis-5090	53	24	.	.	PUNCT
fis-5090	54	1	the	the	DET
fis-5090	54	2	stress	stress	NOUN
fis-5090	54	3	-	-	PUNCT
fis-5090	54	4	strain	strain	NOUN
fis-5090	54	5	state	state	NOUN
fis-5090	54	6	induced	induce	VERB
fis-5090	54	7	by	by	ADP
fis-5090	54	8	this	this	DET
fis-5090	54	9	loading	loading	NOUN
fis-5090	54	10	is	be	AUX
fis-5090	54	11	calculated	calculate	VERB
fis-5090	54	12	in	in	ADP
fis-5090	54	13	the	the	DET
fis-5090	54	14	finite	finite	ADJ
fis-5090	54	15	element	element	NOUN
fis-5090	54	16	package	package	NOUN
fis-5090	54	17	ansys	ansys	PROPN
fis-5090	54	18	ls	ls	PROPN
fis-5090	54	19	-	-	PUNCT
fis-5090	54	20	dyna	dyna	NOUN
fis-5090	54	21	.	.	PUNCT
fis-5090	54	22	to	to	PART
fis-5090	54	23	model	model	VERB
fis-5090	54	24	the	the	DET
fis-5090	54	25	process	process	NOUN
fis-5090	54	26	of	of	ADP
fis-5090	54	27	dynamic	dynamic	ADJ
fis-5090	54	28	deformation	deformation	NOUN
fis-5090	54	29	of	of	ADP
fis-5090	54	30	the	the	DET
fis-5090	54	31	material	material	NOUN
fis-5090	54	32	,	,	PUNCT
fis-5090	54	33	the	the	DET
fis-5090	54	34	johnson	johnson	PROPN
fis-5090	54	35	-	-	PUNCT
fis-5090	54	36	cook	cook	NOUN
fis-5090	54	37	model	model	NOUN
fis-5090	54	38	was	be	AUX
fis-5090	54	39	used	use	VERB
fis-5090	54	40	as	as	ADP
fis-5090	54	41	the	the	DET
fis-5090	54	42	governing	govern	VERB
fis-5090	54	43	relation	relation	NOUN
fis-5090	54	44	.	.	PUNCT
fis-5090	55	1	the	the	DET
fis-5090	55	2	analytical	analytical	ADJ
fis-5090	55	3	representation	representation	NOUN
fis-5090	55	4	of	of	ADP
fis-5090	55	5	the	the	DET
fis-5090	55	6	model	model	NOUN
fis-5090	55	7	is	be	AUX
fis-5090	55	8	as	as	SCONJ
fis-5090	55	9	follows	follow	VERB
fis-5090	55	10	:	:	PUNCT
fis-5090	55	11			PROPN
fis-5090	55	12			PROPN
fis-5090	55	13			PROPN
fis-5090	55	14			PROPN
fis-5090	55	15			NOUN
fis-5090	55	16			VERB
fis-5090	55	17			PROPN
fis-5090	55	18			ADV
fis-5090	55	19			PUNCT
fis-5090	55	20			PROPN
fis-5090	55	21			PROPN
fis-5090	55	22			NOUN
fis-5090	55	23			NOUN
fis-5090	55	24	mpl	mpl	NOUN
fis-5090	55	25	eqpl	eqpl	NOUN
fis-5090	55	26	n	n	ADP
fis-5090	56	1	o	o	NOUN
fis-5090	56	2	y	y	NOUN
fis-5090	56	3	eq	eq	NOUN
fis-5090	56	4	pl	pl	PROPN
fis-5090	56	5	m	m	PROPN
fis-5090	56	6	oeq	oeq	ADJ
fis-5090	56	7	o	o	X
fis-5090	56	8	t	t	NOUN
fis-5090	56	9	t	t	PROPN
fis-5090	56	10	a	a	DET
fis-5090	56	11	b	b	PROPN
fis-5090	56	12	c	c	PROPN
fis-5090	56	13	t	t	PROPN
fis-5090	56	14	t	t	PROPN
fis-5090	56	15	,	,	PUNCT
fis-5090	56	16	[	[	PUNCT
fis-5090	56	17	(	(	PUNCT
fis-5090	56	18	)	)	PUNCT
fis-5090	56	19	]	]	PUNCT
fis-5090	57	1	[	[	X
fis-5090	57	2	1	1	NUM
fis-5090	57	3	ln	ln	NOUN
fis-5090	57	4	]	]	X
fis-5090	57	5	[	[	X
fis-5090	57	6	1	1	NUM
fis-5090	57	7	]	]	PUNCT
fis-5090	57	8			NOUN
fis-5090	57	9			NOUN
fis-5090	57	10			NOUN
fis-5090	57	11	(	(	PUNCT
fis-5090	57	12	1	1	NUM
fis-5090	57	13	)	)	PUNCT
fis-5090	57	14	where	where	SCONJ
fis-5090	57	15			PROPN
fis-5090	57	16	y	y	PROPN
fis-5090	57	17	 	 	SPACE
fis-5090	57	18	–	–	PUNCT
fis-5090	57	19	is	be	AUX
fis-5090	57	20	the	the	DET
fis-5090	57	21	stress	stress	NOUN
fis-5090	57	22	intensity	intensity	NOUN
fis-5090	57	23	at	at	ADP
fis-5090	57	24	the	the	DET
fis-5090	57	25	yield	yield	NOUN
fis-5090	57	26	surface	surface	NOUN
fis-5090	57	27	,	,	PUNCT
fis-5090	57	28			PROPN
fis-5090	57	29	pl	pl	PROPN
fis-5090	57	30	eq	eq	PROPN
fis-5090	57	31	–	–	PUNCT
fis-5090	57	32	is	be	AUX
fis-5090	57	33	the	the	DET
fis-5090	57	34	plastic	plastic	ADJ
fis-5090	57	35	strain	strain	NOUN
fis-5090	57	36	rate	rate	NOUN
fis-5090	57	37	intensity	intensity	NOUN
fis-5090	57	38	,	,	PUNCT
fis-5090	57	39			PROPN
fis-5090	57	40	pl	pl	X
fis-5090	57	41	eq	eq	NOUN
fis-5090	57	42	o,	o,	PROPN
fis-5090	57	43	–	–	PUNCT
fis-5090	57	44	is	be	AUX
fis-5090	57	45	the	the	DET
fis-5090	57	46	reference	reference	NOUN
fis-5090	57	47	plastic	plastic	NOUN
fis-5090	57	48	strain	strain	NOUN
fis-5090	57	49	rate	rate	NOUN
fis-5090	57	50	intensity	intensity	NOUN
fis-5090	57	51	,	,	PUNCT
fis-5090	57	52	a	a	DET
fis-5090	57	53	,	,	PUNCT
fis-5090	57	54	b	b	NOUN
fis-5090	57	55	,	,	PUNCT
fis-5090	57	56	c	c	NOUN
fis-5090	57	57	,	,	PUNCT
fis-5090	57	58	n	n	CCONJ
fis-5090	57	59	–	–	PUNCT
fis-5090	57	60	are	be	AUX
fis-5090	57	61	parameters	parameter	NOUN
fis-5090	57	62	characterizing	characterize	VERB
fis-5090	57	63	the	the	DET
fis-5090	57	64	inelastic	inelastic	ADJ
fis-5090	57	65	behavior	behavior	NOUN
fis-5090	57	66	of	of	ADP
fis-5090	57	67	the	the	DET
fis-5090	57	68	material	material	NOUN
fis-5090	57	69	,	,	PUNCT
fis-5090	57	70	t	t	PROPN
fis-5090	57	71	–	–	PUNCT
fis-5090	57	72	is	be	AUX
fis-5090	57	73	the	the	DET
fis-5090	57	74	temperature	temperature	NOUN
fis-5090	57	75	of	of	ADP
fis-5090	57	76	the	the	DET
fis-5090	57	77	material	material	NOUN
fis-5090	57	78	during	during	ADP
fis-5090	57	79	the	the	DET
fis-5090	57	80	test	test	NOUN
fis-5090	57	81	,	,	PUNCT
fis-5090	57	82	ot	ot	INTJ
fis-5090	57	83	–	–	PUNCT
fis-5090	57	84	is	be	AUX
fis-5090	57	85	the	the	DET
fis-5090	57	86	ambient	ambient	ADJ
fis-5090	57	87	temperature	temperature	NOUN
fis-5090	57	88	,	,	PUNCT
fis-5090	57	89	mt	mt	PROPN
fis-5090	57	90	–	–	PUNCT
fis-5090	57	91	is	be	AUX
fis-5090	57	92	the	the	DET
fis-5090	57	93	melting	melt	VERB
fis-5090	57	94	temperature	temperature	NOUN
fis-5090	57	95	of	of	ADP
fis-5090	57	96	the	the	DET
fis-5090	57	97	material	material	NOUN
fis-5090	57	98	,	,	PUNCT
fis-5090	57	99	and	and	CCONJ
fis-5090	57	100	parameter	parameter	NOUN
fis-5090	57	101	m	m	PROPN
fis-5090	57	102	is	be	AUX
fis-5090	57	103	responsible	responsible	ADJ
fis-5090	57	104	for	for	ADP
fis-5090	57	105	the	the	DET
fis-5090	57	106	thermal	thermal	ADJ
fis-5090	57	107	fracture	fracture	NOUN
fis-5090	57	108	.	.	PUNCT
fis-5090	58	1	under	under	ADP
fis-5090	58	2	the	the	DET
fis-5090	58	3	assumption	assumption	NOUN
fis-5090	58	4	that	that	SCONJ
fis-5090	58	5	there	there	PRON
fis-5090	58	6	is	be	VERB
fis-5090	58	7	no	no	DET
fis-5090	58	8	thermal	thermal	ADJ
fis-5090	58	9	fracture	fracture	NOUN
fis-5090	58	10	as	as	ADP
fis-5090	58	11	a	a	DET
fis-5090	58	12	result	result	NOUN
fis-5090	58	13	of	of	ADP
fis-5090	58	14	lapping	lapping	NOUN
fis-5090	58	15	,	,	PUNCT
fis-5090	58	16	temperature	temperature	NOUN
fis-5090	58	17	variables	variable	NOUN
fis-5090	58	18	were	be	AUX
fis-5090	58	19	not	not	PART
fis-5090	58	20	taken	take	VERB
fis-5090	58	21	into	into	ADP
fis-5090	58	22	account	account	NOUN
fis-5090	58	23	.	.	PUNCT
fis-5090	59	1	the	the	DET
fis-5090	59	2	model	model	NOUN
fis-5090	59	3	parameters	parameter	NOUN
fis-5090	59	4	and	and	CCONJ
fis-5090	59	5	mechanical	mechanical	ADJ
fis-5090	59	6	constants	constant	NOUN
fis-5090	59	7	are	be	AUX
fis-5090	59	8	presented	present	VERB
fis-5090	59	9	in	in	ADP
fis-5090	59	10	tabs	tab	NOUN
fis-5090	59	11	.	.	PUNCT
fis-5090	60	1	2	2	NUM
fis-5090	60	2	and	and	CCONJ
fis-5090	60	3	3	3	NUM
fis-5090	60	4	.	.	X
fis-5090	61	1	a	a	PRON
fis-5090	61	2	,	,	PUNCT
fis-5090	61	3	mpa	mpa	PROPN
fis-5090	61	4	b	b	PROPN
fis-5090	61	5	,	,	PUNCT
fis-5090	61	6	mpa	mpa	PROPN
fis-5090	61	7	с	с	PROPN
fis-5090	61	8	n	n	PROPN
fis-5090	61	9			PROPN
fis-5090	61	10	978	978	NUM
fis-5090	61	11	826	826	NUM
fis-5090	61	12	0.639	0.639	NUM
fis-5090	61	13	0.034	0.034	NUM
fis-5090	61	14	0.005	0.005	NUM
fis-5090	61	15	table	table	NOUN
fis-5090	61	16	2	2	NUM
fis-5090	61	17	:	:	PUNCT
fis-5090	61	18	johnson	johnson	PROPN
fis-5090	61	19	-	-	PUNCT
fis-5090	61	20	cook	cook	PROPN
fis-5090	61	21	hardening	harden	VERB
fis-5090	61	22	model	model	NOUN
fis-5090	61	23	constant	constant	ADJ
fis-5090	61	24	for	for	ADP
fis-5090	61	25	titanium	titanium	NOUN
fis-5090	61	26	alloy	alloy	NOUN
fis-5090	61	27	ti-6al-4v	ti-6al-4v	PROPN
fis-5090	61	28	m.verezhak	m.verezhak	ADV
fis-5090	61	29	et	et	PROPN
fis-5090	61	30	alii	alii	PROPN
fis-5090	61	31	,	,	PUNCT
fis-5090	61	32	frattura	frattura	PROPN
fis-5090	61	33	ed	ed	PROPN
fis-5090	61	34	integrità	integrità	PROPN
fis-5090	61	35	strutturale	strutturale	PROPN
fis-5090	61	36	,	,	PUNCT
fis-5090	61	37	70	70	NUM
fis-5090	61	38	(	(	PUNCT
fis-5090	61	39	2024	2024	NUM
fis-5090	61	40	)	)	PUNCT
fis-5090	61	41	121	121	NUM
fis-5090	61	42	-	-	SYM
fis-5090	61	43	132	132	NUM
fis-5090	61	44	;	;	PUNCT
fis-5090	61	45	doi	doi	NOUN
fis-5090	61	46	:	:	PUNCT
fis-5090	61	47	10.3221	10.3221	NUM
fis-5090	61	48	/	/	SYM
fis-5090	61	49	igf	igf	NOUN
fis-5090	61	50	-	-	ADJ
fis-5090	61	51	esis.70.07	esis.70.07	ADJ
fis-5090	61	52	124	124	NUM
fis-5090	61	53	ρ	ρ	NOUN
fis-5090	61	54	,	,	PUNCT
fis-5090	61	55	kg	kg	PROPN
fis-5090	61	56	/	/	SYM
fis-5090	61	57	m3	m3	PROPN
fis-5090	61	58	e	e	PROPN
fis-5090	61	59	,	,	PUNCT
fis-5090	61	60	gpa	gpa	PROPN
fis-5090	61	61	ν	ν	NOUN
fis-5090	61	62	4424	4424	NUM
fis-5090	61	63	113	113	NUM
fis-5090	61	64	0.324	0.324	NUM
fis-5090	61	65	table	table	NOUN
fis-5090	61	66	3	3	NUM
fis-5090	61	67	:	:	PUNCT
fis-5090	61	68	physical	physical	ADJ
fis-5090	61	69	constants	constant	NOUN
fis-5090	61	70	of	of	ADP
fis-5090	61	71	titanium	titanium	NOUN
fis-5090	61	72	alloy	alloy	NOUN
fis-5090	61	73	ti-6al-4v	ti-6al-4v	PROPN
fis-5090	61	74	numerical	numerical	ADJ
fis-5090	61	75	calculation	calculation	NOUN
fis-5090	61	76	for	for	ADP
fis-5090	61	77	verification	verification	NOUN
fis-5090	61	78	of	of	ADP
fis-5090	61	79	the	the	DET
fis-5090	61	80	constructed	construct	VERB
fis-5090	61	81	mathematical	mathematical	ADJ
fis-5090	61	82	model	model	NOUN
fis-5090	61	83	of	of	ADP
fis-5090	61	84	residual	residual	ADJ
fis-5090	61	85	stress	stress	NOUN
fis-5090	61	86	generation	generation	NOUN
fis-5090	61	87	process	process	NOUN
fis-5090	61	88	and	and	CCONJ
fis-5090	61	89	finite	finite	PROPN
fis-5090	61	90	element	element	NOUN
fis-5090	61	91	model	model	NOUN
fis-5090	61	92	are	be	AUX
fis-5090	61	93	shown	show	VERB
fis-5090	61	94	in	in	ADP
fis-5090	61	95	fig	fig	NOUN
fis-5090	61	96	.	.	PUNCT
fis-5090	62	1	2	2	X
fis-5090	62	2	.	.	X
fis-5090	62	3	an	an	DET
fis-5090	62	4	area	area	NOUN
fis-5090	62	5	of	of	ADP
fis-5090	62	6	11x11	11x11	NUM
fis-5090	62	7	mm	mm	NOUN
fis-5090	62	8	with	with	ADP
fis-5090	62	9	a	a	DET
fis-5090	62	10	1x1	1x1	NUM
fis-5090	62	11	mm	mm	PROPN
fis-5090	62	12	square	square	PROPN
fis-5090	62	13	laser	laser	PROPN
fis-5090	62	14	beam	beam	PROPN
fis-5090	62	15	cross	cross	NOUN
fis-5090	62	16	-	-	NOUN
fis-5090	62	17	section	section	NOUN
fis-5090	62	18	with	with	ADP
fis-5090	62	19	a	a	DET
fis-5090	62	20	power	power	NOUN
fis-5090	62	21	density	density	NOUN
fis-5090	62	22	of	of	ADP
fis-5090	62	23	10	10	NUM
fis-5090	62	24	gw	gw	NOUN
fis-5090	62	25	/	/	SYM
fis-5090	62	26	cm2	cm2	PROPN
fis-5090	62	27	was	be	AUX
fis-5090	62	28	treated	treat	VERB
fis-5090	62	29	.	.	PUNCT
fis-5090	63	1	the	the	DET
fis-5090	63	2	energy	energy	NOUN
fis-5090	63	3	of	of	ADP
fis-5090	63	4	the	the	DET
fis-5090	63	5	pulse	pulse	NOUN
fis-5090	63	6	was	be	AUX
fis-5090	63	7	1	1	NUM
fis-5090	63	8	j.	j.	NOUN
fis-5090	63	9	for	for	ADP
fis-5090	63	10	the	the	DET
fis-5090	63	11	considered	consider	VERB
fis-5090	63	12	energy	energy	NOUN
fis-5090	63	13	parameters	parameter	NOUN
fis-5090	63	14	of	of	ADP
fis-5090	63	15	exposure	exposure	NOUN
fis-5090	63	16	,	,	PUNCT
fis-5090	63	17	the	the	DET
fis-5090	63	18	duration	duration	NOUN
fis-5090	63	19	of	of	ADP
fis-5090	63	20	the	the	DET
fis-5090	63	21	pressure	pressure	NOUN
fis-5090	63	22	pulse	pulse	NOUN
fis-5090	63	23	was	be	AUX
fis-5090	63	24	60	60	NUM
fis-5090	63	25	ns	ns	NUM
fis-5090	63	26	and	and	CCONJ
fis-5090	63	27	the	the	DET
fis-5090	63	28	peak	peak	NOUN
fis-5090	63	29	pressure	pressure	NOUN
fis-5090	63	30	value	value	NOUN
fis-5090	63	31	was	be	AUX
fis-5090	63	32	5.36	5.36	NUM
fis-5090	63	33	gpa	gpa	NOUN
fis-5090	63	34	.	.	PUNCT
fis-5090	64	1	no	no	DET
fis-5090	64	2	movement	movement	NOUN
fis-5090	64	3	was	be	AUX
fis-5090	64	4	allowed	allow	VERB
fis-5090	64	5	on	on	ADP
fis-5090	64	6	the	the	DET
fis-5090	64	7	surface	surface	NOUN
fis-5090	64	8	opposite	opposite	ADP
fis-5090	64	9	the	the	DET
fis-5090	64	10	treatment	treatment	NOUN
fis-5090	64	11	area	area	NOUN
fis-5090	64	12	.	.	PUNCT
fis-5090	65	1	the	the	DET
fis-5090	65	2	sides	side	NOUN
fis-5090	65	3	of	of	ADP
fis-5090	65	4	the	the	DET
fis-5090	65	5	plate	plate	NOUN
fis-5090	65	6	are	be	AUX
fis-5090	65	7	free	free	ADJ
fis-5090	65	8	of	of	ADP
fis-5090	65	9	load	load	NOUN
fis-5090	65	10	.	.	PUNCT
fis-5090	66	1	the	the	DET
fis-5090	66	2	mesh	mesh	NOUN
fis-5090	66	3	is	be	AUX
fis-5090	66	4	tetragonal	tetragonal	ADJ
fis-5090	66	5	,	,	PUNCT
fis-5090	66	6	the	the	DET
fis-5090	66	7	number	number	NOUN
fis-5090	66	8	of	of	ADP
fis-5090	66	9	used	use	VERB
fis-5090	66	10	elements	element	NOUN
fis-5090	66	11	is	be	AUX
fis-5090	66	12	149590	149590	NUM
fis-5090	66	13	,	,	PUNCT
fis-5090	66	14	the	the	DET
fis-5090	66	15	element	element	ADJ
fis-5090	66	16	size	size	NOUN
fis-5090	66	17	in	in	ADP
fis-5090	66	18	the	the	DET
fis-5090	66	19	zone	zone	NOUN
fis-5090	66	20	of	of	ADP
fis-5090	66	21	pressure	pressure	NOUN
fis-5090	66	22	application	application	NOUN
fis-5090	66	23	did	do	AUX
fis-5090	66	24	not	not	PART
fis-5090	66	25	exceed	exceed	VERB
fis-5090	66	26	0.2	0.2	NUM
fis-5090	66	27	mm	mm	NOUN
fis-5090	66	28	,	,	PUNCT
fis-5090	66	29	a	a	DET
fis-5090	66	30	coarser	coarse	ADJ
fis-5090	66	31	mesh	mesh	NOUN
fis-5090	66	32	with	with	ADP
fis-5090	66	33	a	a	DET
fis-5090	66	34	maximum	maximum	ADJ
fis-5090	66	35	finite	finite	ADJ
fis-5090	66	36	element	element	NOUN
fis-5090	66	37	size	size	NOUN
fis-5090	66	38	of	of	ADP
fis-5090	66	39	2	2	NUM
fis-5090	66	40	mm	mm	NOUN
fis-5090	66	41	was	be	AUX
fis-5090	66	42	formed	form	VERB
fis-5090	66	43	at	at	ADP
fis-5090	66	44	a	a	DET
fis-5090	66	45	distance	distance	NOUN
fis-5090	66	46	from	from	ADP
fis-5090	66	47	the	the	DET
fis-5090	66	48	load	load	NOUN
fis-5090	66	49	setting	set	VERB
fis-5090	66	50	zone	zone	NOUN
fis-5090	66	51	.	.	PUNCT
fis-5090	67	1	the	the	DET
fis-5090	67	2	convergence	convergence	NOUN
fis-5090	67	3	of	of	ADP
fis-5090	67	4	the	the	DET
fis-5090	67	5	solution	solution	NOUN
fis-5090	67	6	was	be	AUX
fis-5090	67	7	checked	check	VERB
fis-5090	67	8	by	by	ADP
fis-5090	67	9	mesh	mesh	NOUN
fis-5090	67	10	refinement	refinement	NOUN
fis-5090	67	11	.	.	PUNCT
fis-5090	68	1	figure	figure	NOUN
fis-5090	68	2	2	2	NUM
fis-5090	68	3	:	:	PUNCT
fis-5090	68	4	numerical	numerical	ADJ
fis-5090	68	5	and	and	CCONJ
fis-5090	68	6	finite	finite	ADJ
fis-5090	68	7	-	-	ADJ
fis-5090	68	8	element	element	ADJ
fis-5090	68	9	model	model	NOUN
fis-5090	68	10	of	of	ADP
fis-5090	68	11	alloy	alloy	NOUN
fis-5090	68	12	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	68	13	.	.	PUNCT
fis-5090	69	1	in	in	ADP
fis-5090	69	2	order	order	NOUN
fis-5090	69	3	to	to	PART
fis-5090	69	4	verify	verify	VERB
fis-5090	69	5	the	the	DET
fis-5090	69	6	proposed	propose	VERB
fis-5090	69	7	model	model	NOUN
fis-5090	69	8	,	,	PUNCT
fis-5090	69	9	the	the	DET
fis-5090	69	10	residual	residual	ADJ
fis-5090	69	11	stress	stress	NOUN
fis-5090	69	12	profiles	profile	NOUN
fis-5090	69	13	obtained	obtain	VERB
fis-5090	69	14	numerically	numerically	ADV
fis-5090	69	15	were	be	AUX
fis-5090	69	16	compared	compare	VERB
fis-5090	69	17	with	with	ADP
fis-5090	69	18	experimental	experimental	ADJ
fis-5090	69	19	data	datum	NOUN
fis-5090	69	20	.	.	PUNCT
fis-5090	70	1	the	the	DET
fis-5090	70	2	residual	residual	ADJ
fis-5090	70	3	stress	stress	NOUN
fis-5090	70	4	profiles	profile	NOUN
fis-5090	70	5	after	after	ADP
fis-5090	70	6	lsp	lsp	PROPN
fis-5090	70	7			PROPN
fis-5090	70	8	x	x	X
fis-5090	70	9	and	and	CCONJ
fis-5090	70	10			PROPN
fis-5090	70	11	y	y	PROPN
fis-5090	70	12	,	,	PUNCT
fis-5090	70	13	determined	determine	VERB
fis-5090	70	14	experimentally	experimentally	ADV
fis-5090	70	15	and	and	CCONJ
fis-5090	70	16	numerically	numerically	ADV
fis-5090	70	17	,	,	PUNCT
fis-5090	70	18	are	be	AUX
fis-5090	70	19	shown	show	VERB
fis-5090	70	20	in	in	ADP
fis-5090	70	21	fig	fig	NOUN
fis-5090	70	22	.	.	PUNCT
fis-5090	71	1	3	3	X
fis-5090	71	2	.	.	X
fis-5090	71	3	the	the	DET
fis-5090	71	4	difference	difference	NOUN
fis-5090	71	5	in	in	ADP
fis-5090	71	6	minimum	minimum	ADJ
fis-5090	71	7	value	value	NOUN
fis-5090	71	8	of	of	ADP
fis-5090	71	9	residual	residual	ADJ
fis-5090	71	10	stress	stress	NOUN
fis-5090	71	11	between	between	ADP
fis-5090	71	12	experimental	experimental	ADJ
fis-5090	71	13	results	result	NOUN
fis-5090	71	14	and	and	CCONJ
fis-5090	71	15	numerical	numerical	ADJ
fis-5090	71	16	results	result	NOUN
fis-5090	71	17	given	give	VERB
fis-5090	71	18	in	in	ADP
fis-5090	71	19	fig	fig	NOUN
fis-5090	71	20	.	.	PUNCT
fis-5090	72	1	3	3	NUM
fis-5090	72	2	is	be	AUX
fis-5090	72	3	nearly	nearly	ADV
fis-5090	72	4	16	16	NUM
fis-5090	72	5	%	%	NOUN
fis-5090	72	6	.	.	PUNCT
fis-5090	73	1	this	this	DET
fis-5090	73	2	minor	minor	ADJ
fis-5090	73	3	disagreement	disagreement	NOUN
fis-5090	73	4	can	can	AUX
fis-5090	73	5	be	be	AUX
fis-5090	73	6	explained	explain	VERB
fis-5090	73	7	by	by	ADP
fis-5090	73	8	possible	possible	ADJ
fis-5090	73	9	measurement	measurement	NOUN
fis-5090	73	10	inaccuracies	inaccuracy	NOUN
fis-5090	73	11	of	of	ADP
fis-5090	73	12	the	the	DET
fis-5090	73	13	incremental	incremental	ADJ
fis-5090	73	14	hole	hole	NOUN
fis-5090	73	15	drilling	drilling	NOUN
fis-5090	73	16	method	method	NOUN
fis-5090	73	17	due	due	ADP
fis-5090	73	18	to	to	ADP
fis-5090	73	19	its	its	PRON
fis-5090	73	20	incremental	incremental	ADJ
fis-5090	73	21	and	and	CCONJ
fis-5090	73	22	destructive	destructive	ADJ
fis-5090	73	23	character	character	NOUN
fis-5090	73	24	.	.	PUNCT
fis-5090	74	1	a	a	DET
fis-5090	74	2	specific	specific	ADJ
fis-5090	74	3	feature	feature	NOUN
fis-5090	74	4	of	of	ADP
fis-5090	74	5	the	the	DET
fis-5090	74	6	hole	hole	NOUN
fis-5090	74	7	drilling	drilling	NOUN
fis-5090	74	8	method	method	NOUN
fis-5090	74	9	is	be	AUX
fis-5090	74	10	the	the	DET
fis-5090	74	11	averaging	averaging	NOUN
fis-5090	74	12	of	of	ADP
fis-5090	74	13	the	the	DET
fis-5090	74	14	obtained	obtain	VERB
fis-5090	74	15	data	datum	NOUN
fis-5090	74	16	over	over	ADP
fis-5090	74	17	the	the	DET
fis-5090	74	18	drilled	drill	VERB
fis-5090	74	19	area	area	NOUN
fis-5090	74	20	.	.	PUNCT
fis-5090	75	1	therefore	therefore	ADV
fis-5090	75	2	,	,	PUNCT
fis-5090	75	3	it	it	PRON
fis-5090	75	4	can	can	AUX
fis-5090	75	5	affect	affect	VERB
fis-5090	75	6	the	the	DET
fis-5090	75	7	ability	ability	NOUN
fis-5090	75	8	of	of	ADP
fis-5090	75	9	it	it	PRON
fis-5090	75	10	to	to	PART
fis-5090	75	11	register	register	VERB
fis-5090	75	12	properly	properly	ADV
fis-5090	75	13	the	the	DET
fis-5090	75	14	above	above	ADV
fis-5090	75	15	-	-	PUNCT
fis-5090	75	16	described	describe	VERB
fis-5090	75	17	effect	effect	NOUN
fis-5090	75	18	.	.	PUNCT
fis-5090	76	1	figure	figure	VERB
fis-5090	76	2	3	3	NUM
fis-5090	76	3	:	:	PUNCT
fis-5090	76	4	residual	residual	ADJ
fis-5090	76	5	stress	stress	NOUN
fis-5090	76	6	profiles	profile	NOUN
fis-5090	76	7	after	after	ADP
fis-5090	76	8	lsp	lsp	PROPN
fis-5090	76	9	the	the	DET
fis-5090	76	10	availability	availability	NOUN
fis-5090	76	11	of	of	ADP
fis-5090	76	12	a	a	DET
fis-5090	76	13	verified	verified	ADJ
fis-5090	76	14	model	model	NOUN
fis-5090	76	15	significantly	significantly	ADV
fis-5090	76	16	expands	expand	VERB
fis-5090	76	17	the	the	DET
fis-5090	76	18	possibilities	possibility	NOUN
fis-5090	76	19	of	of	ADP
fis-5090	76	20	building	build	VERB
fis-5090	76	21	a	a	DET
fis-5090	76	22	database	database	NOUN
fis-5090	76	23	sufficient	sufficient	ADJ
fis-5090	76	24	for	for	ADP
fis-5090	76	25	training	train	VERB
fis-5090	76	26	a	a	DET
fis-5090	76	27	neural	neural	ADJ
fis-5090	76	28	network	network	NOUN
fis-5090	76	29	and	and	CCONJ
fis-5090	76	30	allows	allow	VERB
fis-5090	76	31	to	to	PART
fis-5090	76	32	significantly	significantly	ADV
fis-5090	76	33	reduce	reduce	VERB
fis-5090	76	34	the	the	DET
fis-5090	76	35	number	number	NOUN
fis-5090	76	36	of	of	ADP
fis-5090	76	37	need	need	ADJ
fis-5090	76	38	experiments	experiment	NOUN
fis-5090	76	39	.	.	PUNCT
fis-5090	77	1	m.verezhak	m.verezhak	PROPN
fis-5090	77	2	et	et	PROPN
fis-5090	77	3	alii	alii	PROPN
fis-5090	77	4	,	,	PUNCT
fis-5090	77	5	frattura	frattura	PROPN
fis-5090	77	6	ed	ed	PROPN
fis-5090	77	7	integrità	integrità	PROPN
fis-5090	77	8	strutturale	strutturale	PROPN
fis-5090	77	9	,	,	PUNCT
fis-5090	77	10	70	70	NUM
fis-5090	77	11	(	(	PUNCT
fis-5090	77	12	2024	2024	NUM
fis-5090	77	13	)	)	PUNCT
fis-5090	77	14	121	121	NUM
fis-5090	77	15	-	-	SYM
fis-5090	77	16	132	132	NUM
fis-5090	77	17	;	;	PUNCT
fis-5090	77	18	doi	doi	NOUN
fis-5090	77	19	:	:	PUNCT
fis-5090	77	20	10.3221	10.3221	NUM
fis-5090	77	21	/	/	SYM
fis-5090	77	22	igf	igf	NOUN
fis-5090	77	23	-	-	ADJ
fis-5090	77	24	esis.70.07	esis.70.07	ADJ
fis-5090	77	25	125	125	NUM
fis-5090	77	26	formation	formation	NOUN
fis-5090	77	27	on	on	ADP
fis-5090	77	28	the	the	DET
fis-5090	77	29	training	training	NOUN
fis-5090	77	30	database	database	NOUN
fis-5090	77	31	three	three	NUM
fis-5090	77	32	quantities	quantity	NOUN
fis-5090	77	33	were	be	AUX
fis-5090	77	34	used	use	VERB
fis-5090	77	35	as	as	ADP
fis-5090	77	36	features	feature	NOUN
fis-5090	77	37	for	for	ADP
fis-5090	77	38	training	train	VERB
fis-5090	77	39	the	the	DET
fis-5090	77	40	ann	ann	PROPN
fis-5090	77	41	model	model	NOUN
fis-5090	77	42	:	:	PUNCT
fis-5090	77	43	beam	beam	NOUN
fis-5090	77	44	overlap	overlap	NOUN
fis-5090	77	45	overlapf	overlapf	NOUN
fis-5090	77	46	,	,	PUNCT
fis-5090	77	47	number	number	NOUN
fis-5090	77	48	of	of	ADP
fis-5090	77	49	passes	pass	NOUN
fis-5090	77	50	passn	passn	NOUN
fis-5090	77	51	and	and	CCONJ
fis-5090	77	52	density	density	NOUN
fis-5090	77	53	of	of	ADP
fis-5090	77	54	embedded	embed	VERB
fis-5090	77	55	energy	energy	NOUN
fis-5090	77	56	w	w	NOUN
fis-5090	77	57	.	.	PUNCT
fis-5090	78	1	to	to	PART
fis-5090	78	2	account	account	VERB
fis-5090	78	3	for	for	ADP
fis-5090	78	4	the	the	DET
fis-5090	78	5	behavior	behavior	NOUN
fis-5090	78	6	of	of	ADP
fis-5090	78	7	the	the	DET
fis-5090	78	8	model	model	NOUN
fis-5090	78	9	under	under	ADP
fis-5090	78	10	small	small	ADJ
fis-5090	78	11	impacts	impact	NOUN
fis-5090	78	12	,	,	PUNCT
fis-5090	78	13	6	6	NUM
fis-5090	78	14	objects	object	NOUN
fis-5090	78	15	w	w	ADP
fis-5090	78	16	0	0	NUM
fis-5090	78	17	with	with	ADP
fis-5090	78	18	upon	upon	SCONJ
fis-5090	78	19	subsequent	subsequent	ADJ
fis-5090	78	20	enumeration	enumeration	NOUN
fis-5090	78	21	of	of	ADP
fis-5090	78	22	passn	passn	NOUN
fis-5090	78	23	and	and	CCONJ
fis-5090	78	24	overlapf	overlapf	NOUN
fis-5090	78	25	from	from	ADP
fis-5090	78	26	the	the	DET
fis-5090	78	27	experimental	experimental	ADJ
fis-5090	78	28	value	value	NOUN
fis-5090	78	29	range	range	NOUN
fis-5090	78	30	.	.	PUNCT
fis-5090	79	1	in	in	ADP
fis-5090	79	2	this	this	DET
fis-5090	79	3	case	case	NOUN
fis-5090	79	4	,	,	PUNCT
fis-5090	79	5	the	the	DET
fis-5090	79	6	target	target	NOUN
fis-5090	79	7	values	value	NOUN
fis-5090	79	8	for	for	ADP
fis-5090	79	9	h	h	PROPN
fis-5090	79	10	0	0	NUM
fis-5090	79	11	,	,	PUNCT
fis-5090	79	12			PROPN
fis-5090	79	13	o	o	NOUN
fis-5090	79	14	res	re	NOUN
fis-5090	79	15	and	and	CCONJ
fis-5090	79	16			PROPN
fis-5090	79	17	res	re	NOUN
fis-5090	79	18	max	max	PROPN
fis-5090	79	19	were	be	AUX
fis-5090	79	20	selected	select	VERB
fis-5090	79	21	from	from	ADP
fis-5090	79	22	measurements	measurement	NOUN
fis-5090	79	23	for	for	ADP
fis-5090	79	24	the	the	DET
fis-5090	79	25	unprocessed	unprocessed	ADJ
fis-5090	79	26	surface	surface	NOUN
fis-5090	79	27	of	of	ADP
fis-5090	79	28	the	the	DET
fis-5090	79	29	alloy	alloy	NOUN
fis-5090	79	30	.	.	PUNCT
fis-5090	80	1	the	the	DET
fis-5090	80	2	experimental	experimental	ADJ
fis-5090	80	3	database	database	NOUN
fis-5090	80	4	was	be	AUX
fis-5090	80	5	complemented	complement	VERB
fis-5090	80	6	by	by	ADP
fis-5090	80	7	the	the	DET
fis-5090	80	8	results	result	NOUN
fis-5090	80	9	of	of	ADP
fis-5090	80	10	numerical	numerical	ADJ
fis-5090	80	11	modeling	modeling	NOUN
fis-5090	80	12	.	.	PUNCT
fis-5090	81	1	the	the	DET
fis-5090	81	2	partitioning	partitioning	NOUN
fis-5090	81	3	of	of	ADP
fis-5090	81	4	the	the	DET
fis-5090	81	5	database	database	NOUN
fis-5090	81	6	was	be	AUX
fis-5090	81	7	done	do	VERB
fis-5090	81	8	in	in	ADP
fis-5090	81	9	a	a	DET
fis-5090	81	10	90/10	90/10	NUM
fis-5090	81	11	%	%	NOUN
fis-5090	81	12	ratio	ratio	NOUN
fis-5090	81	13	for	for	ADP
fis-5090	81	14	the	the	DET
fis-5090	81	15	training	training	NOUN
fis-5090	81	16	and	and	CCONJ
fis-5090	81	17	validation	validation	NOUN
fis-5090	81	18	sample	sample	NOUN
fis-5090	81	19	.	.	PUNCT
fis-5090	82	1	architecture	architecture	NOUN
fis-5090	82	2	and	and	CCONJ
fis-5090	82	3	training	training	NOUN
fis-5090	82	4	of	of	ADP
fis-5090	82	5	neural	neural	ADJ
fis-5090	82	6	network	network	NOUN
fis-5090	82	7	we	we	PRON
fis-5090	82	8	used	use	VERB
fis-5090	82	9	a	a	DET
fis-5090	82	10	fully	fully	ADV
fis-5090	82	11	connected	connect	VERB
fis-5090	82	12	feed	feed	NOUN
fis-5090	82	13	-	-	PUNCT
fis-5090	82	14	forward	forward	NOUN
fis-5090	82	15	propagation	propagation	NOUN
fis-5090	82	16	ann	ann	PROPN
fis-5090	82	17	as	as	ADP
fis-5090	82	18	a	a	DET
fis-5090	82	19	machine	machine	NOUN
fis-5090	82	20	learning	learn	VERB
fis-5090	82	21	model	model	NOUN
fis-5090	82	22	,	,	PUNCT
fis-5090	82	23	the	the	DET
fis-5090	82	24	general	general	ADJ
fis-5090	82	25	structure	structure	NOUN
fis-5090	82	26	of	of	ADP
fis-5090	82	27	which	which	PRON
fis-5090	82	28	is	be	AUX
fis-5090	82	29	shown	show	VERB
fis-5090	82	30	in	in	ADP
fis-5090	82	31	fig	fig	NOUN
fis-5090	82	32	.	.	PUNCT
fis-5090	83	1	4	4	X
fis-5090	83	2	.	.	X
fis-5090	83	3	the	the	DET
fis-5090	83	4	ann	ann	PROPN
fis-5090	83	5	consists	consist	VERB
fis-5090	83	6	of	of	ADP
fis-5090	83	7	l+2	l+2	NOUN
fis-5090	83	8	layers	layer	NOUN
fis-5090	83	9	of	of	ADP
fis-5090	83	10	neurons	neuron	NOUN
fis-5090	83	11	,	,	PUNCT
fis-5090	83	12	where	where	SCONJ
fis-5090	83	13	l	l	NOUN
fis-5090	83	14	is	be	AUX
fis-5090	83	15	the	the	DET
fis-5090	83	16	number	number	NOUN
fis-5090	83	17	of	of	ADP
fis-5090	83	18	hidden	hidden	ADJ
fis-5090	83	19	layers	layer	NOUN
fis-5090	83	20	.	.	PUNCT
fis-5090	84	1	the	the	DET
fis-5090	84	2	input	input	NOUN
fis-5090	84	3	layer	layer	NOUN
fis-5090	84	4	receives	receive	VERB
fis-5090	84	5	the	the	DET
fis-5090	84	6	function	function	NOUN
fis-5090	84	7	arguments	argument	NOUN
fis-5090	84	8	and	and	CCONJ
fis-5090	84	9	the	the	DET
fis-5090	84	10	output	output	NOUN
fis-5090	84	11	layer	layer	NOUN
fis-5090	84	12	generates	generate	VERB
fis-5090	84	13	the	the	DET
fis-5090	84	14	result	result	NOUN
fis-5090	84	15	of	of	ADP
fis-5090	84	16	the	the	DET
fis-5090	84	17	network	network	NOUN
fis-5090	84	18	.	.	PUNCT
fis-5090	85	1	we	we	PRON
fis-5090	85	2	will	will	AUX
fis-5090	85	3	number	number	VERB
fis-5090	85	4	the	the	DET
fis-5090	85	5	layers	layer	NOUN
fis-5090	85	6	with	with	ADP
fis-5090	85	7	index	index	NOUN
fis-5090	85	8	l	l	NOUN
fis-5090	85	9	,	,	PUNCT
fis-5090	85	10	running	run	VERB
fis-5090	85	11	the	the	DET
fis-5090	85	12	values	value	NOUN
fis-5090	85	13	from	from	ADP
fis-5090	85	14	0	0	NUM
fis-5090	85	15	(	(	PUNCT
fis-5090	85	16	input	input	NOUN
fis-5090	85	17	layer	layer	NOUN
fis-5090	85	18	)	)	PUNCT
fis-5090	85	19	to	to	ADP
fis-5090	85	20	l+1	l+1	PRON
fis-5090	85	21	(	(	PUNCT
fis-5090	85	22	output	output	NOUN
fis-5090	85	23	layer	layer	NOUN
fis-5090	85	24	)	)	PUNCT
fis-5090	85	25	.	.	PUNCT
fis-5090	86	1	when	when	SCONJ
fis-5090	86	2	the	the	DET
fis-5090	86	3	ann	ann	PROPN
fis-5090	86	4	is	be	AUX
fis-5090	86	5	triggered	trigger	VERB
fis-5090	86	6	in	in	ADP
fis-5090	86	7	the	the	DET
fis-5090	86	8	forward	forward	ADJ
fis-5090	86	9	direction	direction	NOUN
fis-5090	86	10	,	,	PUNCT
fis-5090	86	11	the	the	DET
fis-5090	86	12	following	follow	VERB
fis-5090	86	13	calculations	calculation	NOUN
fis-5090	86	14	are	be	AUX
fis-5090	86	15	performed	perform	VERB
fis-5090	86	16	layer	layer	NOUN
fis-5090	86	17	by	by	ADP
fis-5090	86	18	layer	layer	NOUN
fis-5090	86	19	in	in	ADP
fis-5090	86	20	all	all	DET
fis-5090	86	21	neurons	neuron	NOUN
fis-5090	86	22	of	of	ADP
fis-5090	86	23	the	the	DET
fis-5090	86	24	hidden	hide	VERB
fis-5090	86	25	layers	layer	NOUN
fis-5090	86	26			PROPN
fis-5090	86	27	l	l	PROPN
fis-5090	86	28	l1	l1	PROPN
fis-5090	86	29	,	,	PUNCT
fis-5090	86	30	and	and	CCONJ
fis-5090	86	31	the	the	DET
fis-5090	86	32	output	output	NOUN
fis-5090	86	33	layer	layer	NOUN
fis-5090	86	34			NUM
fis-5090	86	35	l	l	PROPN
fis-5090	86	36	l	l	NOUN
fis-5090	87	1	1based	1base	VERB
fis-5090	87	2	on	on	ADP
fis-5090	87	3	the	the	DET
fis-5090	87	4	"	"	PUNCT
fis-5090	87	5	signals	signal	NOUN
fis-5090	87	6	"	"	PUNCT
fis-5090	87	7	(	(	PUNCT
fis-5090	87	8	numbers	number	NOUN
fis-5090	87	9	)	)	PUNCT
fis-5090	87	10	received	receive	VERB
fis-5090	87	11	from	from	ADP
fis-5090	87	12	the	the	DET
fis-5090	87	13	artificial	artificial	ADJ
fis-5090	87	14	neurons	neuron	NOUN
fis-5090	87	15	of	of	ADP
fis-5090	87	16	the	the	DET
fis-5090	87	17	previous	previous	ADJ
fis-5090	87	18	layer	layer	NOUN
fis-5090	87	19	:	:	PUNCT
fis-5090	87	20	l	l	NOUN
fis-5090	87	21	l	l	NOUN
fis-5090	87	22	l	l	NOUN
fis-5090	88	1	k	k	X
fis-5090	89	1	kx	kx	PROPN
fis-5090	90	1	f	f	PROPN
fis-5090	91	1	z	z	PROPN
fis-5090	91	2	(	(	PUNCT
fis-5090	91	3	)	)	PUNCT
fis-5090	91	4	(	(	PUNCT
fis-5090	91	5	)	)	PUNCT
fis-5090	91	6	(	(	PUNCT
fis-5090	91	7	)	)	PUNCT
fis-5090	91	8	(	(	PUNCT
fis-5090	91	9	)	)	PUNCT
fis-5090	91	10	(	(	PUNCT
fis-5090	91	11	2	2	X
fis-5090	91	12	)	)	PUNCT
fis-5090	91	13			NOUN
fis-5090	91	14			VERB
fis-5090	91	15			NUM
fis-5090	91	16			PROPN
fis-5090	91	17			PROPN
fis-5090	91	18			VERB
fis-5090	91	19			X
fis-5090	91	20	ln	ln	X
fis-5090	91	21	l	l	NOUN
fis-5090	91	22	l	l	NOUN
fis-5090	91	23	l	l	NOUN
fis-5090	91	24	l	l	NOUN
fis-5090	92	1	k	k	X
fis-5090	92	2	k	k	PROPN
fis-5090	92	3	km	km	PROPN
fis-5090	92	4	m	m	VERB
fis-5090	92	5	m	m	VERB
fis-5090	92	6	z	z	NOUN
fis-5090	92	7	b	b	PROPN
fis-5090	92	8	a	a	DET
fis-5090	92	9	x	x	SYM
fis-5090	92	10	1	1	NUM
fis-5090	92	11	(	(	PUNCT
fis-5090	92	12	)	)	PUNCT
fis-5090	92	13	(	(	PUNCT
fis-5090	92	14	)	)	PUNCT
fis-5090	92	15	(	(	PUNCT
fis-5090	92	16	)	)	PUNCT
fis-5090	92	17	(	(	PUNCT
fis-5090	92	18	1	1	X
fis-5090	92	19	)	)	PUNCT
fis-5090	92	20	1	1	NUM
fis-5090	92	21	(	(	PUNCT
fis-5090	92	22	)	)	PUNCT
fis-5090	92	23	(	(	PUNCT
fis-5090	92	24	3	3	X
fis-5090	92	25	)	)	PUNCT
fis-5090	92	26	where	where	SCONJ
fis-5090	92	27	ln	ln	X
fis-5090	92	28	1	1	NUM
fis-5090	92	29	are	be	AUX
fis-5090	92	30	the	the	DET
fis-5090	92	31	number	number	NOUN
fis-5090	92	32	of	of	ADP
fis-5090	92	33	neurons	neuron	NOUN
fis-5090	92	34	in	in	ADP
fis-5090	92	35	the	the	DET
fis-5090	92	36	prior	prior	ADJ
fis-5090	92	37	layer	layer	NOUN
fis-5090	92	38	,	,	PUNCT
fis-5090	92	39	l	l	NOUN
fis-5090	92	40	mx	mx	PROPN
fis-5090	92	41	(	(	PUNCT
fis-5090	92	42	1	1	X
fis-5090	92	43	)	)	PUNCT
fis-5090	92	44	are	be	AUX
fis-5090	92	45	the	the	DET
fis-5090	92	46	signals	signal	NOUN
fis-5090	92	47	of	of	ADP
fis-5090	92	48	neurons	neuron	NOUN
fis-5090	92	49	of	of	ADP
fis-5090	92	50	the	the	DET
fis-5090	92	51	prior	prior	ADJ
fis-5090	92	52	layer	layer	NOUN
fis-5090	92	53	,	,	PUNCT
fis-5090	92	54	l	l	NOUN
fis-5090	92	55	kma	kma	PROPN
fis-5090	92	56	(	(	PUNCT
fis-5090	92	57	)	)	PUNCT
fis-5090	92	58	and	and	CCONJ
fis-5090	92	59	l	l	PROPN
fis-5090	92	60	kb	kb	PROPN
fis-5090	92	61	(	(	PUNCT
fis-5090	92	62	)	)	PUNCT
fis-5090	92	63	are	be	AUX
fis-5090	92	64	their	their	PRON
fis-5090	92	65	weights	weight	NOUN
fis-5090	92	66	and	and	CCONJ
fis-5090	92	67	bias	bias	NOUN
fis-5090	92	68	,	,	PUNCT
fis-5090	92	69	respectively	respectively	ADV
fis-5090	92	70	.	.	PUNCT
fis-5090	93	1	according	accord	VERB
fis-5090	93	2	to	to	ADP
fis-5090	93	3	eqn	eqn	PROPN
fis-5090	93	4	.	.	PUNCT
fis-5090	94	1	(	(	PUNCT
fis-5090	94	2	2	2	NUM
fis-5090	94	3	)	)	PUNCT
fis-5090	94	4	,	,	PUNCT
fis-5090	94	5	the	the	DET
fis-5090	94	6	intermediate	intermediate	ADJ
fis-5090	94	7	result	result	NOUN
fis-5090	94	8	is	be	AUX
fis-5090	94	9	formed	form	VERB
fis-5090	94	10	first	first	ADV
fis-5090	94	11	l	l	X
fis-5090	94	12	kz	kz	PROPN
fis-5090	94	13	(	(	PUNCT
fis-5090	94	14	)	)	PUNCT
fis-5090	94	15	by	by	ADP
fis-5090	94	16	linear	linear	ADJ
fis-5090	94	17	combination	combination	NOUN
fis-5090	94	18	of	of	ADP
fis-5090	94	19	signals	signal	NOUN
fis-5090	94	20	of	of	ADP
fis-5090	94	21	the	the	DET
fis-5090	94	22	previous	previous	ADJ
fis-5090	94	23	layer	layer	NOUN
fis-5090	94	24	,	,	PUNCT
fis-5090	94	25	then	then	ADV
fis-5090	94	26	the	the	DET
fis-5090	94	27	nonlinear	nonlinear	ADJ
fis-5090	94	28	function	function	NOUN
fis-5090	94	29	from	from	ADP
fis-5090	94	30	is	be	AUX
fis-5090	94	31	calculated	calculate	VERB
fis-5090	94	32	in	in	ADP
fis-5090	94	33	eqn	eqn	NOUN
fis-5090	94	34	.	.	PUNCT
fis-5090	95	1	(	(	PUNCT
fis-5090	95	2	1	1	NUM
fis-5090	95	3	)	)	PUNCT
fis-5090	95	4	,	,	PUNCT
fis-5090	95	5	the	the	DET
fis-5090	95	6	value	value	NOUN
fis-5090	95	7	of	of	ADP
fis-5090	95	8	which	which	PRON
fis-5090	95	9	gives	give	VERB
fis-5090	95	10	the	the	DET
fis-5090	95	11	signal	signal	NOUN
fis-5090	95	12	l	l	PROPN
fis-5090	95	13	kx	kx	PROPN
fis-5090	95	14	(	(	PUNCT
fis-5090	95	15	)	)	PUNCT
fis-5090	95	16	of	of	ADP
fis-5090	95	17	this	this	DET
fis-5090	95	18	neuron	neuron	NOUN
fis-5090	95	19	and	and	CCONJ
fis-5090	95	20	is	be	AUX
fis-5090	95	21	fed	feed	VERB
fis-5090	95	22	to	to	ADP
fis-5090	95	23	the	the	DET
fis-5090	95	24	next	next	ADJ
fis-5090	95	25	layer	layer	NOUN
fis-5090	95	26	.	.	PUNCT
fis-5090	96	1	in	in	ADP
fis-5090	96	2	the	the	DET
fis-5090	96	3	case	case	NOUN
fis-5090	96	4	of	of	ADP
fis-5090	96	5	the	the	DET
fis-5090	96	6	output	output	NOUN
fis-5090	96	7	layer	layer	NOUN
fis-5090	96	8	,	,	PUNCT
fis-5090	96	9	signals	signal	NOUN
fis-5090	96	10	l	l	PROPN
fis-5090	96	11	kx	kx	PROPN
fis-5090	96	12	(	(	PUNCT
fis-5090	96	13	1	1	X
fis-5090	96	14	)	)	PUNCT
fis-5090	96	15	form	form	NOUN
fis-5090	96	16	output	output	NOUN
fis-5090	96	17	of	of	ADP
fis-5090	96	18	the	the	DET
fis-5090	96	19	ann	ann	PROPN
fis-5090	96	20	.	.	PROPN
fis-5090	97	1	figure	figure	NOUN
fis-5090	97	2	4	4	NUM
fis-5090	97	3	:	:	PUNCT
fis-5090	97	4	ann	ann	PROPN
fis-5090	97	5	structure	structure	NOUN
fis-5090	97	6	for	for	ADP
fis-5090	97	7	residual	residual	ADJ
fis-5090	97	8	stress	stress	NOUN
fis-5090	97	9	prediction	prediction	NOUN
fis-5090	97	10	.	.	PUNCT
fis-5090	98	1	m.verezhak	m.verezhak	PROPN
fis-5090	98	2	et	et	PROPN
fis-5090	98	3	alii	alii	PROPN
fis-5090	98	4	,	,	PUNCT
fis-5090	98	5	frattura	frattura	PROPN
fis-5090	98	6	ed	ed	PROPN
fis-5090	98	7	integrità	integrità	PROPN
fis-5090	98	8	strutturale	strutturale	PROPN
fis-5090	98	9	,	,	PUNCT
fis-5090	98	10	70	70	NUM
fis-5090	98	11	(	(	PUNCT
fis-5090	98	12	2024	2024	NUM
fis-5090	98	13	)	)	PUNCT
fis-5090	98	14	121	121	NUM
fis-5090	98	15	-	-	SYM
fis-5090	98	16	132	132	NUM
fis-5090	98	17	;	;	PUNCT
fis-5090	98	18	doi	doi	NOUN
fis-5090	98	19	:	:	PUNCT
fis-5090	98	20	10.3221	10.3221	NUM
fis-5090	98	21	/	/	SYM
fis-5090	98	22	igf	igf	NOUN
fis-5090	98	23	-	-	ADJ
fis-5090	98	24	esis.70.07	esis.70.07	ADJ
fis-5090	98	25	126	126	NUM
fis-5090	98	26	a	a	DET
fis-5090	98	27	sigmoid	sigmoid	NOUN
fis-5090	98	28	transfer	transfer	NOUN
fis-5090	98	29	function	function	NOUN
fis-5090	98	30	was	be	AUX
fis-5090	98	31	used	use	VERB
fis-5090	98	32	for	for	ADP
fis-5090	98	33	the	the	DET
fis-5090	98	34	output	output	NOUN
fis-5090	98	35	layer	layer	NOUN
fis-5090	98	36	.	.	PUNCT
fis-5090	99	1	all	all	DET
fis-5090	99	2	hidden	hide	VERB
fis-5090	99	3	layers	layer	NOUN
fis-5090	99	4	of	of	ADP
fis-5090	99	5	the	the	DET
fis-5090	99	6	neural	neural	ADJ
fis-5090	99	7	network	network	NOUN
fis-5090	99	8	have	have	VERB
fis-5090	99	9	the	the	DET
fis-5090	99	10	same	same	ADJ
fis-5090	99	11	functional	functional	ADJ
fis-5090	99	12	form	form	NOUN
fis-5090	99	13	of	of	ADP
fis-5090	99	14	transfer	transfer	NOUN
fis-5090	99	15	functions	function	NOUN
fis-5090	99	16	,	,	PUNCT
fis-5090	99	17	which	which	PRON
fis-5090	99	18	was	be	AUX
fis-5090	99	19	one	one	NUM
fis-5090	99	20	of	of	ADP
fis-5090	99	21	the	the	DET
fis-5090	99	22	following	follow	VERB
fis-5090	99	23	4	4	NUM
fis-5090	99	24	mappings	mapping	NOUN
fis-5090	99	25	:	:	PUNCT
fis-5090	99	26	sin(z	sin(z	PROPN
fis-5090	99	27	)	)	PUNCT
fis-5090	99	28	,	,	PUNCT
fis-5090	99	29	leaky	leaky	ADJ
fis-5090	99	30	relu	relu	NOUN
fis-5090	99	31	,	,	PUNCT
fis-5090	99	32	swish	swish	ADJ
fis-5090	99	33	or	or	CCONJ
fis-5090	99	34	sigmoid	sigmoid	NOUN
fis-5090	99	35	.	.	PUNCT
fis-5090	100	1	the	the	DET
fis-5090	100	2	optimal	optimal	ADJ
fis-5090	100	3	of	of	ADP
fis-5090	100	4	the	the	DET
fis-5090	100	5	mappings	mapping	NOUN
fis-5090	100	6	was	be	AUX
fis-5090	100	7	used	use	VERB
fis-5090	100	8	to	to	PART
fis-5090	100	9	verify	verify	VERB
fis-5090	100	10	the	the	DET
fis-5090	100	11	resulting	result	VERB
fis-5090	100	12	deep	deep	ADJ
fis-5090	100	13	learning	learning	NOUN
fis-5090	100	14	model	model	NOUN
fis-5090	100	15	.	.	PUNCT
fis-5090	101	1	the	the	DET
fis-5090	101	2	class	class	NOUN
fis-5090	101	3	of	of	ADP
fis-5090	101	4	functions	function	NOUN
fis-5090	101	5	is	be	AUX
fis-5090	101	6	represented	represent	VERB
fis-5090	101	7	as	as	ADP
fis-5090	101	8	the	the	DET
fis-5090	101	9	following	follow	VERB
fis-5090	101	10	analytical	analytical	ADJ
fis-5090	101	11	expressions	expression	NOUN
fis-5090	101	12	in	in	ADP
fis-5090	101	13	the	the	DET
fis-5090	101	14	tab	tab	NOUN
fis-5090	101	15	.	.	PUNCT
fis-5090	102	1	4	4	X
fis-5090	102	2	.	.	NOUN
fis-5090	102	3	function	function	NOUN
fis-5090	102	4	representation	representation	NOUN
fis-5090	102	5	sine	sine	NOUN
fis-5090	102	6	l	l	PROPN
fis-5090	102	7	l	l	PROPN
fis-5090	102	8	l	l	NOUN
fis-5090	103	1	k	k	PROPN
fis-5090	103	2	kf	kf	PROPN
fis-5090	103	3	z	z	PROPN
fis-5090	103	4	z	z	PROPN
fis-5090	103	5	(	(	PUNCT
fis-5090	103	6	)	)	PUNCT
fis-5090	103	7	(	(	PUNCT
fis-5090	103	8	)	)	PUNCT
fis-5090	103	9	(	(	PUNCT
fis-5090	103	10	)	)	PUNCT
fis-5090	103	11	(	(	PUNCT
fis-5090	103	12	)	)	PUNCT
fis-5090	103	13	sin	sin	NOUN
fis-5090	103	14	(	(	PUNCT
fis-5090	103	15	)	)	PUNCT
fis-5090	103	16	leaky	leaky	ADJ
fis-5090	103	17	relu	relu	NOUN
fis-5090	103	18			ADP
fis-5090	103	19			ADV
fis-5090	103	20			NUM
fis-5090	103	21			NOUN
fis-5090	103	22	l	l	NOUN
fis-5090	103	23	l	l	X
fis-5090	104	1	k	k	X
fis-5090	104	2	kl	kl	X
fis-5090	105	1	l	l	PROPN
fis-5090	106	1	k	k	X
fis-5090	107	1	l	l	PUNCT
fis-5090	108	1	l	l	PUNCT
fis-5090	109	1	k	k	X
fis-5090	109	2	k	k	PROPN
fis-5090	110	1	z	z	PROPN
fis-5090	110	2	z	z	NOUN
fis-5090	111	1	f	f	PROPN
fis-5090	111	2	z	z	NOUN
fis-5090	111	3	z	z	NOUN
fis-5090	111	4	z	z	NOUN
fis-5090	111	5	(	(	PUNCT
fis-5090	111	6	)	)	PUNCT
fis-5090	111	7	(	(	PUNCT
fis-5090	111	8	)	)	PUNCT
fis-5090	111	9	(	(	PUNCT
fis-5090	111	10	)	)	PUNCT
fis-5090	111	11	(	(	PUNCT
fis-5090	111	12	)	)	PUNCT
fis-5090	111	13	(	(	PUNCT
fis-5090	111	14	)	)	PUNCT
fis-5090	111	15	(	(	PUNCT
fis-5090	111	16	)	)	PUNCT
fis-5090	111	17	,	,	PUNCT
fis-5090	111	18	0	0	NUM
fis-5090	111	19	(	(	PUNCT
fis-5090	111	20	)	)	PUNCT
fis-5090	111	21	0.01	0.01	NUM
fis-5090	111	22	,	,	PUNCT
fis-5090	111	23	0	0	PUNCT
fis-5090	111	24	swish	swish	PROPN
fis-5090	111	25			PROPN
fis-5090	111	26			ADV
fis-5090	111	27	l	l	X
fis-5090	111	28	l	l	X
fis-5090	111	29	l	l	NOUN
fis-5090	112	1	k	k	X
fis-5090	113	1	k	k	X
fis-5090	113	2	l	l	PUNCT
fis-5090	114	1	k	k	PUNCT
fis-5090	114	2	z	z	PUNCT
fis-5090	114	3	f	f	PROPN
fis-5090	114	4	z	z	PROPN
fis-5090	114	5	z	z	PROPN
fis-5090	114	6	(	(	PUNCT
fis-5090	114	7	)	)	PUNCT
fis-5090	114	8	(	(	PUNCT
fis-5090	114	9	)	)	PUNCT
fis-5090	114	10	(	(	PUNCT
fis-5090	114	11	)	)	PUNCT
fis-5090	114	12	(	(	PUNCT
fis-5090	114	13	)	)	PUNCT
fis-5090	114	14	(	(	PUNCT
fis-5090	114	15	)	)	PUNCT
fis-5090	114	16	1	1	NUM
fis-5090	114	17	exp	exp	NOUN
fis-5090	114	18	(	(	PUNCT
fis-5090	114	19	)	)	PUNCT
fis-5090	114	20	sigmoid	sigmoid	NOUN
fis-5090	114	21			PROPN
fis-5090	114	22			ADV
fis-5090	114	23	l	l	PROPN
fis-5090	114	24	l	l	X
fis-5090	115	1	k	k	X
fis-5090	115	2	l	l	PUNCT
fis-5090	116	1	k	k	PROPN
fis-5090	116	2	f	f	PROPN
fis-5090	117	1	z	z	PROPN
fis-5090	117	2	z	z	PROPN
fis-5090	117	3	(	(	PUNCT
fis-5090	117	4	)	)	PUNCT
fis-5090	117	5	(	(	PUNCT
fis-5090	117	6	)	)	PUNCT
fis-5090	117	7	(	(	PUNCT
fis-5090	117	8	)	)	PUNCT
fis-5090	117	9	1	1	NUM
fis-5090	117	10	(	(	PUNCT
fis-5090	117	11	)	)	PUNCT
fis-5090	117	12	1	1	NUM
fis-5090	117	13	exp	exp	NOUN
fis-5090	117	14	(	(	PUNCT
fis-5090	117	15	)	)	PUNCT
fis-5090	117	16	table	table	NOUN
fis-5090	117	17	4	4	NUM
fis-5090	117	18	:	:	PUNCT
fis-5090	117	19	analytical	analytical	ADJ
fis-5090	117	20	representation	representation	NOUN
fis-5090	117	21	of	of	ADP
fis-5090	117	22	transfer	transfer	NOUN
fis-5090	117	23	functions	function	NOUN
fis-5090	117	24	.	.	PUNCT
fis-5090	118	1	input	input	NOUN
fis-5090	118	2	vector	vector	NOUN
fis-5090	118	3			PROPN
fis-5090	118	4			PROPN
fis-5090	118	5	pass	pass	VERB
fis-5090	118	6	overlapx	overlapx	NOUN
fis-5090	118	7	n	n	PROPN
fis-5090	118	8	f	f	NOUN
fis-5090	118	9	w	w	PROPN
fis-5090	118	10	;	;	PUNCT
fis-5090	118	11	;	;	PUNCT
fis-5090	118	12	and	and	CCONJ
fis-5090	118	13	output	output	NOUN
fis-5090	118	14	vector	vector	NOUN
fis-5090	118	15			PROPN
fis-5090	118	16			PROPN
fis-5090	118	17			NOUN
fis-5090	118	18	o	o	NOUN
fis-5090	118	19	res	re	NOUN
fis-5090	118	20	resy	resy	NOUN
fis-5090	118	21	hmax	hmax	PROPN
fis-5090	118	22	;	;	PUNCT
fis-5090	118	23	;	;	PUNCT
fis-5090	118	24	of	of	ADP
fis-5090	118	25	the	the	DET
fis-5090	118	26	ann	ann	PROPN
fis-5090	118	27	are	be	AUX
fis-5090	118	28	normalized	normalize	VERB
fis-5090	118	29	using	use	VERB
fis-5090	118	30	minmax	minmax	PROPN
fis-5090	118	31	:	:	PUNCT
fis-5090	118	32			ADP
fis-5090	118	33			PROPN
fis-5090	118	34			PROPN
fis-5090	118	35			PROPN
fis-5090	118	36			PROPN
fis-5090	118	37			PROPN
fis-5090	119	1	kk	kk	PROPN
fis-5090	119	2	k	k	PROPN
fis-5090	120	1	k	k	PROPN
fis-5090	120	2	k	k	PROPN
fis-5090	120	3	x	x	PUNCT
fis-5090	120	4	y	y	NOUN
fis-5090	120	5	x	x	X
fis-5090	120	6	y	y	NOUN
fis-5090	120	7	x	x	X
fis-5090	120	8	y	y	NOUN
fis-5090	120	9	x	x	SYM
fis-5090	120	10	y	y	NOUN
fis-5090	120	11	x	x	SYM
fis-5090	120	12	y	y	PROPN
fis-5090	120	13	(	(	PUNCT
fis-5090	120	14	,	,	PUNCT
fis-5090	120	15	)	)	PUNCT
fis-5090	120	16	(	(	PUNCT
fis-5090	120	17	,	,	PUNCT
fis-5090	120	18	)	)	PUNCT
fis-5090	120	19	(	(	PUNCT
fis-5090	120	20	,	,	PUNCT
fis-5090	120	21	)	)	PUNCT
fis-5090	120	22	(	(	PUNCT
fis-5090	120	23	,	,	PUNCT
fis-5090	120	24	)	)	PUNCT
fis-5090	120	25	(	(	PUNCT
fis-5090	120	26	,	,	PUNCT
fis-5090	120	27	)	)	PUNCT
fis-5090	120	28	(	(	PUNCT
fis-5090	120	29	4	4	X
fis-5090	120	30	)	)	PUNCT
fis-5090	120	31	where	where	SCONJ
fis-5090	120	32			PROPN
fis-5090	120	33	i	i	PROPN
fis-5090	120	34	ii	ii	PROPN
fis-5090	121	1	k	k	NOUN
fis-5090	121	2	x	x	PUNCT
fis-5090	121	3	y	y	PROPN
fis-5090	121	4	,	,	PUNCT
fis-5090	121	5	,	,	PUNCT
fis-5090	121	6	are	be	AUX
fis-5090	121	7	reduced	reduce	VERB
fis-5090	121	8	values	value	NOUN
fis-5090	121	9	of	of	ADP
fis-5090	121	10	minimal	minimal	ADJ
fis-5090	121	11	and	and	CCONJ
fis-5090	121	12	maximal	maximal	ADJ
fis-5090	121	13	of	of	ADP
fis-5090	121	14	the	the	DET
fis-5090	121	15	corresponding	corresponding	ADJ
fis-5090	121	16	input	input	NOUN
fis-5090	121	17	and	and	CCONJ
fis-5090	121	18	output	output	NOUN
fis-5090	121	19	quantities	quantity	NOUN
fis-5090	121	20	calculated	calculate	VERB
fis-5090	121	21	as	as	ADP
fis-5090	121	22	:	:	PUNCT
fis-5090	121	23			ADP
fis-5090	121	24			SYM
fis-5090	122	1			PROPN
fis-5090	123	1			PROPN
fis-5090	123	2	ave	ave	PROPN
fis-5090	124	1	k	k	X
fis-5090	124	2	kx	kx	PROPN
fis-5090	125	1	y	y	PROPN
fis-5090	125	2	x	x	SYM
fis-5090	125	3	y	y	PROPN
fis-5090	125	4	,	,	PUNCT
fis-5090	125	5	(	(	PUNCT
fis-5090	125	6	,	,	PUNCT
fis-5090	125	7	)	)	PUNCT
fis-5090	125	8	(	(	PUNCT
fis-5090	125	9	,	,	PUNCT
fis-5090	125	10	)	)	PUNCT
fis-5090	125	11	(	(	PUNCT
fis-5090	125	12	5	5	X
fis-5090	125	13	)	)	PUNCT
fis-5090	125	14			NOUN
fis-5090	125	15			NOUN
fis-5090	126	1			ADJ
fis-5090	126	2			ADJ
fis-5090	126	3			NOUN
fis-5090	126	4	ave	ave	NOUN
fis-5090	126	5	ave	ave	PROPN
fis-5090	127	1	k	k	PROPN
fis-5090	127	2	k	k	PROPN
fis-5090	128	1	k	k	PROPN
fis-5090	128	2	kx	kx	PROPN
fis-5090	129	1	y	y	PROPN
fis-5090	129	2	x	x	SYM
fis-5090	129	3	y	y	PROPN
fis-5090	129	4	x	x	SYM
fis-5090	129	5	y	y	NOUN
fis-5090	129	6	x	x	SYM
fis-5090	129	7	ymax	ymax	NUM
fis-5090	129	8	min1.1	min1.1	PROPN
fis-5090	129	9	max	max	PROPN
fis-5090	129	10	(	(	PUNCT
fis-5090	129	11	,	,	PUNCT
fis-5090	129	12	)	)	PUNCT
fis-5090	129	13	(	(	PUNCT
fis-5090	129	14	,	,	PUNCT
fis-5090	129	15	)	)	PUNCT
fis-5090	129	16	,	,	PUNCT
fis-5090	129	17	(	(	PUNCT
fis-5090	129	18	,	,	PUNCT
fis-5090	129	19	)	)	PUNCT
fis-5090	129	20	(	(	PUNCT
fis-5090	129	21	,	,	PUNCT
fis-5090	129	22	)	)	PUNCT
fis-5090	129	23	(	(	PUNCT
fis-5090	129	24	6	6	NUM
fis-5090	129	25	)	)	PUNCT
fis-5090	129	26	,	,	PUNCT
fis-5090	129	27	where	where	SCONJ
fis-5090	129	28			PROPN
fis-5090	129	29	kx	kx	PROPN
fis-5090	129	30	y	y	PROPN
fis-5090	129	31	max	max	PROPN
fis-5090	129	32	,	,	PUNCT
fis-5090	129	33	min	min	PROPN
fis-5090	129	34	,	,	PUNCT
fis-5090	129	35	are	be	AUX
fis-5090	129	36	the	the	DET
fis-5090	129	37	true	true	ADJ
fis-5090	129	38	values	value	NOUN
fis-5090	129	39	minimum	minimum	ADJ
fis-5090	129	40	and	and	CCONJ
fis-5090	129	41	maximum	maximum	ADJ
fis-5090	129	42	,	,	PUNCT
fis-5090	129	43			NOUN
fis-5090	129	44	ave	ave	VERB
fis-5090	129	45	k	k	X
fis-5090	129	46	x	x	SYM
fis-5090	129	47	y	y	PROPN
fis-5090	129	48	,	,	PUNCT
fis-5090	129	49	are	be	AUX
fis-5090	129	50	average	average	ADJ
fis-5090	129	51	values	value	NOUN
fis-5090	129	52	of	of	ADP
fis-5090	129	53	input	input	NOUN
fis-5090	129	54	and	and	CCONJ
fis-5090	129	55	output	output	NOUN
fis-5090	129	56	variables	variable	NOUN
fis-5090	129	57	calculated	calculate	VERB
fis-5090	129	58	from	from	ADP
fis-5090	129	59	the	the	DET
fis-5090	129	60	training	training	NOUN
fis-5090	129	61	dataset	dataset	NOUN
fis-5090	129	62	.	.	PUNCT
fis-5090	130	1	likewise	likewise	ADV
fis-5090	130	2	to	to	ADP
fis-5090	130	3	[	[	X
fis-5090	130	4	21	21	NUM
fis-5090	130	5	]	]	PUNCT
fis-5090	130	6	,	,	PUNCT
fis-5090	130	7	the	the	DET
fis-5090	130	8	binary	binary	PROPN
fis-5090	130	9	cross	cross	PROPN
fis-5090	130	10	-	-	ADJ
fis-5090	130	11	entropy	entropy	ADJ
fis-5090	130	12	function	function	NOUN
fis-5090	130	13	was	be	AUX
fis-5090	130	14	used	use	VERB
fis-5090	130	15	as	as	ADP
fis-5090	130	16	a	a	DET
fis-5090	130	17	loss	loss	NOUN
fis-5090	130	18	function	function	NOUN
fis-5090	130	19	for	for	ADP
fis-5090	130	20	training	train	VERB
fis-5090	130	21	the	the	DET
fis-5090	130	22	neural	neural	ADJ
fis-5090	130	23	network	network	NOUN
fis-5090	130	24	,	,	PUNCT
fis-5090	130	25	the	the	DET
fis-5090	130	26	analytical	analytical	ADJ
fis-5090	130	27	representation	representation	NOUN
fis-5090	130	28	of	of	ADP
fis-5090	130	29	which	which	PRON
fis-5090	130	30	is	be	AUX
fis-5090	130	31	given	give	VERB
fis-5090	130	32	by	by	ADP
fis-5090	130	33	the	the	DET
fis-5090	130	34	following	follow	VERB
fis-5090	130	35	expression	expression	NOUN
fis-5090	130	36	:	:	PUNCT
fis-5090	130	37			PROPN
fis-5090	130	38			PROPN
fis-5090	130	39			PROPN
fis-5090	130	40			PROPN
fis-5090	130	41			NOUN
fis-5090	130	42			PUNCT
fis-5090	131	1			PROPN
fis-5090	131	2			PROPN
fis-5090	131	3			PROPN
fis-5090	131	4			PROPN
fis-5090	131	5			PUNCT
fis-5090	131	6			NOUN
fis-5090	131	7			PROPN
fis-5090	132	1			PROPN
fis-5090	132	2			PROPN
fis-5090	132	3			PROPN
fis-5090	132	4			NUM
fis-5090	132	5			PUNCT
fis-5090	132	6			NOUN
fis-5090	132	7			NUM
fis-5090	132	8			NOUN
fis-5090	132	9			X
fis-5090	133	1	ln	ln	ADV
fis-5090	133	2	ann	ann	PROPN
fis-5090	133	3	ann	ann	PROPN
fis-5090	133	4	n	n	CCONJ
fis-5090	133	5	n	n	CCONJ
fis-5090	133	6	n	n	CCONJ
fis-5090	133	7	n	n	ADP
fis-5090	133	8	b	b	PROPN
fis-5090	133	9	n	n	ADP
fis-5090	133	10	s	s	NOUN
fis-5090	133	11	y	y	NOUN
fis-5090	133	12	y	y	PROPN
fis-5090	133	13	x	x	PROPN
fis-5090	133	14	y	y	VERB
fis-5090	133	15	y	y	PROPN
fis-5090	133	16	x	x	SYM
fis-5090	133	17	1	1	NUM
fis-5090	133	18	1	1	NUM
fis-5090	133	19	ln	ln	NOUN
fis-5090	133	20	(	(	PUNCT
fis-5090	133	21	1	1	X
fis-5090	133	22	)	)	PUNCT
fis-5090	133	23	ln	ln	NOUN
fis-5090	133	24	(	(	PUNCT
fis-5090	133	25	7	7	NUM
fis-5090	133	26	)	)	PUNCT
fis-5090	133	27	where	where	SCONJ
fis-5090	133	28	anny	anny	PROPN
fis-5090	133	29	x	x	SYM
fis-5090	133	30	(	(	PUNCT
fis-5090	133	31	)	)	PUNCT
fis-5090	133	32	is	be	AUX
fis-5090	133	33	the	the	DET
fis-5090	133	34	current	current	ADJ
fis-5090	133	35	prediction	prediction	NOUN
fis-5090	133	36	of	of	ADP
fis-5090	133	37	the	the	DET
fis-5090	133	38	ann	ann	PROPN
fis-5090	133	39	basing	basing	NOUN
fis-5090	133	40	on	on	ADP
fis-5090	133	41	the	the	DET
fis-5090	133	42	input	input	NOUN
fis-5090	133	43	vector	vector	NOUN
fis-5090	133	44	x	x	NOUN
fis-5090	133	45	.	.	PUNCT
fis-5090	134	1	the	the	DET
fis-5090	134	2	ann	ann	PROPN
fis-5090	134	3	model	model	NOUN
fis-5090	134	4	was	be	AUX
fis-5090	134	5	trained	train	VERB
fis-5090	134	6	using	use	VERB
fis-5090	134	7	back	back	ADP
fis-5090	134	8	propagation	propagation	NOUN
fis-5090	134	9	algorithm	algorithm	NOUN
fis-5090	134	10	.	.	PUNCT
fis-5090	135	1	in	in	ADP
fis-5090	135	2	order	order	NOUN
fis-5090	135	3	to	to	PART
fis-5090	135	4	build	build	VERB
fis-5090	135	5	the	the	DET
fis-5090	135	6	optimal	optimal	ADJ
fis-5090	135	7	model	model	NOUN
fis-5090	135	8	,	,	PUNCT
fis-5090	135	9	13	13	NUM
fis-5090	135	10	variants	variant	NOUN
fis-5090	135	11	of	of	ADP
fis-5090	135	12	ann	ann	PROPN
fis-5090	135	13	structures	structure	NOUN
fis-5090	135	14	were	be	AUX
fis-5090	135	15	investigated	investigate	VERB
fis-5090	135	16	with	with	ADP
fis-5090	135	17	10	10	NUM
fis-5090	135	18	samples	sample	NOUN
fis-5090	135	19	of	of	ADP
fis-5090	135	20	ann	ann	PROPN
fis-5090	135	21	for	for	ADP
fis-5090	135	22	each	each	DET
fis-5090	135	23	particular	particular	ADJ
fis-5090	135	24	structure	structure	NOUN
fis-5090	135	25	.	.	PUNCT
fis-5090	136	1	from	from	ADP
fis-5090	136	2	the	the	DET
fis-5090	136	3	trained	train	VERB
fis-5090	136	4	ann	ann	PROPN
fis-5090	136	5	samples	sample	NOUN
fis-5090	136	6	,	,	PUNCT
fis-5090	136	7	the	the	DET
fis-5090	136	8	optimally	optimally	ADV
fis-5090	136	9	designed	design	VERB
fis-5090	136	10	structure	structure	NOUN
fis-5090	136	11	was	be	AUX
fis-5090	136	12	selected	select	VERB
fis-5090	136	13	in	in	ADP
fis-5090	136	14	terms	term	NOUN
fis-5090	136	15	of	of	ADP
fis-5090	136	16	complexity	complexity	NOUN
fis-5090	136	17	and	and	CCONJ
fis-5090	136	18	prediction	prediction	NOUN
fis-5090	136	19	accuracy	accuracy	NOUN
fis-5090	136	20	.	.	PUNCT
fis-5090	137	1	the	the	DET
fis-5090	137	2	root	root	NOUN
fis-5090	137	3	mean	mean	VERB
fis-5090	137	4	square	square	ADJ
fis-5090	137	5	errors	error	NOUN
fis-5090	137	6	calculated	calculate	VERB
fis-5090	137	7	basing	base	VERB
fis-5090	137	8	on	on	ADP
fis-5090	137	9	10	10	NUM
fis-5090	137	10	ann	ann	PROPN
fis-5090	137	11	samples	sample	NOUN
fis-5090	137	12	were	be	AUX
fis-5090	137	13	analyzed	analyze	VERB
fis-5090	137	14	separately	separately	ADV
fis-5090	137	15	on	on	ADP
fis-5090	137	16	training	training	NOUN
fis-5090	137	17	and	and	CCONJ
fis-5090	137	18	validation	validation	NOUN
fis-5090	137	19	data	datum	NOUN
fis-5090	137	20	,	,	PUNCT
fis-5090	137	21	as	as	ADV
fis-5090	137	22	well	well	ADV
fis-5090	137	23	as	as	ADP
fis-5090	137	24	the	the	DET
fis-5090	137	25	maximum	maximum	ADJ
fis-5090	137	26	errors	error	NOUN
fis-5090	137	27	of	of	ADP
fis-5090	137	28	the	the	DET
fis-5090	137	29	ann	ann	PROPN
fis-5090	137	30	.	.	PROPN
fis-5090	138	1	m.verezhak	m.verezhak	PROPN
fis-5090	138	2	et	et	PROPN
fis-5090	138	3	alii	alii	PROPN
fis-5090	138	4	,	,	PUNCT
fis-5090	138	5	frattura	frattura	PROPN
fis-5090	138	6	ed	ed	PROPN
fis-5090	138	7	integrità	integrità	PROPN
fis-5090	138	8	strutturale	strutturale	PROPN
fis-5090	138	9	,	,	PUNCT
fis-5090	138	10	70	70	NUM
fis-5090	138	11	(	(	PUNCT
fis-5090	138	12	2024	2024	NUM
fis-5090	138	13	)	)	PUNCT
fis-5090	138	14	121	121	NUM
fis-5090	138	15	-	-	SYM
fis-5090	138	16	132	132	NUM
fis-5090	138	17	;	;	PUNCT
fis-5090	138	18	doi	doi	NOUN
fis-5090	138	19	:	:	PUNCT
fis-5090	138	20	10.3221	10.3221	NUM
fis-5090	138	21	/	/	SYM
fis-5090	138	22	igf	igf	NOUN
fis-5090	138	23	-	-	ADJ
fis-5090	138	24	esis.70.07	esis.70.07	ADJ
fis-5090	138	25	127	127	NUM
fis-5090	138	26	results	result	NOUN
fis-5090	138	27	and	and	CCONJ
fis-5090	138	28	discussion	discussion	NOUN
fis-5090	138	29	optimization	optimization	NOUN
fis-5090	138	30	of	of	ADP
fis-5090	138	31	ann	ann	PROPN
fis-5090	138	32	structure	structure	NOUN
fis-5090	139	1	n	n	PRON
fis-5090	139	2	order	order	NOUN
fis-5090	139	3	to	to	PART
fis-5090	139	4	determine	determine	VERB
fis-5090	139	5	the	the	DET
fis-5090	139	6	optimal	optimal	ADJ
fis-5090	139	7	structure	structure	NOUN
fis-5090	139	8	of	of	ADP
fis-5090	139	9	the	the	DET
fis-5090	139	10	neural	neural	ADJ
fis-5090	139	11	network	network	NOUN
fis-5090	139	12	,	,	PUNCT
fis-5090	139	13	models	model	NOUN
fis-5090	139	14	were	be	AUX
fis-5090	139	15	trained	train	VERB
fis-5090	139	16	by	by	ADP
fis-5090	139	17	varying	vary	VERB
fis-5090	139	18	the	the	DET
fis-5090	139	19	following	following	ADJ
fis-5090	139	20	basic	basic	ADJ
fis-5090	139	21	characteristics	characteristic	NOUN
fis-5090	139	22	of	of	ADP
fis-5090	139	23	the	the	DET
fis-5090	139	24	neural	neural	ADJ
fis-5090	139	25	network	network	NOUN
fis-5090	139	26	:	:	PUNCT
fis-5090	139	27	the	the	DET
fis-5090	139	28	number	number	NOUN
fis-5090	139	29	of	of	ADP
fis-5090	139	30	hidden	hide	VERB
fis-5090	139	31	layers	layer	NOUN
fis-5090	139	32	l	l	NOUN
fis-5090	139	33	,	,	PUNCT
fis-5090	139	34	the	the	DET
fis-5090	139	35	number	number	NOUN
fis-5090	139	36	of	of	ADP
fis-5090	139	37	neurons	neuron	NOUN
fis-5090	139	38	in	in	ADP
fis-5090	139	39	the	the	DET
fis-5090	139	40	hidden	hide	VERB
fis-5090	139	41	layer	layer	NOUN
fis-5090	139	42	n	n	NOUN
fis-5090	139	43	and	and	CCONJ
fis-5090	139	44	the	the	DET
fis-5090	139	45	transfer	transfer	NOUN
fis-5090	139	46	function	function	NOUN
fis-5090	139	47	of	of	ADP
fis-5090	139	48	hidden	hidden	ADJ
fis-5090	139	49	layers	layer	NOUN
fis-5090	139	50	.	.	PUNCT
fis-5090	140	1	for	for	ADP
fis-5090	140	2	each	each	DET
fis-5090	140	3	particular	particular	ADJ
fis-5090	140	4	structure	structure	NOUN
fis-5090	140	5	,	,	PUNCT
fis-5090	140	6	10	10	NUM
fis-5090	140	7	ann	ann	PROPN
fis-5090	140	8	samples	sample	NOUN
fis-5090	140	9	were	be	AUX
fis-5090	140	10	trained	train	VERB
fis-5090	140	11	,	,	PUNCT
fis-5090	140	12	which	which	PRON
fis-5090	140	13	made	make	VERB
fis-5090	140	14	it	it	PRON
fis-5090	140	15	possible	possible	ADJ
fis-5090	140	16	to	to	PART
fis-5090	140	17	estimate	estimate	VERB
fis-5090	140	18	the	the	DET
fis-5090	140	19	average	average	ADJ
fis-5090	140	20	error	error	NOUN
fis-5090	140	21	values	value	NOUN
fis-5090	140	22	for	for	ADP
fis-5090	140	23	a	a	DET
fis-5090	140	24	given	give	VERB
fis-5090	140	25	ann	ann	PROPN
fis-5090	140	26	structure	structure	NOUN
fis-5090	140	27	and	and	CCONJ
fis-5090	140	28	their	their	PRON
fis-5090	140	29	statistical	statistical	ADJ
fis-5090	140	30	spread	spread	NOUN
fis-5090	140	31	.	.	PUNCT
fis-5090	141	1	the	the	DET
fis-5090	141	2	training	training	NOUN
fis-5090	141	3	results	result	NOUN
fis-5090	141	4	of	of	ADP
fis-5090	141	5	the	the	DET
fis-5090	141	6	different	different	ADJ
fis-5090	141	7	ann	ann	PROPN
fis-5090	141	8	structures	structure	NOUN
fis-5090	141	9	are	be	AUX
fis-5090	141	10	shown	show	VERB
fis-5090	141	11	in	in	ADP
fis-5090	141	12	fig	fig	NOUN
fis-5090	141	13	.	.	PUNCT
fis-5090	142	1	5	5	X
fis-5090	142	2	.	.	X
fis-5090	142	3	it	it	PRON
fis-5090	142	4	can	can	AUX
fis-5090	142	5	be	be	AUX
fis-5090	142	6	seen	see	VERB
fis-5090	142	7	that	that	SCONJ
fis-5090	142	8	the	the	DET
fis-5090	142	9	rmse	rmse	NOUN
fis-5090	142	10	(	(	PUNCT
fis-5090	142	11	root	root	NOUN
fis-5090	142	12	-	-	PUNCT
fis-5090	142	13	mean	mean	ADJ
fis-5090	142	14	-	-	PUNCT
fis-5090	142	15	square	square	NOUN
fis-5090	142	16	error	error	NOUN
fis-5090	142	17	)	)	PUNCT
fis-5090	142	18	of	of	ADP
fis-5090	142	19	ann	ann	PROPN
fis-5090	142	20	depending	depend	VERB
fis-5090	142	21	on	on	ADP
fis-5090	142	22	the	the	DET
fis-5090	142	23	number	number	NOUN
fis-5090	142	24	of	of	ADP
fis-5090	142	25	hidden	hide	VERB
fis-5090	142	26	layer	layer	NOUN
fis-5090	142	27	neurons	neuron	NOUN
fis-5090	142	28	on	on	ADP
fis-5090	142	29	training	training	NOUN
fis-5090	142	30	and	and	CCONJ
fis-5090	142	31	validation	validation	NOUN
fis-5090	142	32	data	datum	NOUN
fis-5090	142	33	falls	fall	VERB
fis-5090	142	34	sharply	sharply	ADV
fis-5090	142	35	up	up	ADV
fis-5090	142	36	to	to	ADP
fis-5090	142	37	n=10	n=10	PRON
fis-5090	142	38	,	,	PUNCT
fis-5090	142	39	then	then	ADV
fis-5090	142	40	it	it	PRON
fis-5090	142	41	decreases	decrease	VERB
fis-5090	142	42	significantly	significantly	ADV
fis-5090	142	43	slower	slow	ADJ
fis-5090	142	44	,	,	PUNCT
fis-5090	142	45	which	which	PRON
fis-5090	142	46	becomes	become	VERB
fis-5090	142	47	disproportionate	disproportionate	ADJ
fis-5090	142	48	to	to	ADP
fis-5090	142	49	the	the	DET
fis-5090	142	50	increase	increase	NOUN
fis-5090	142	51	in	in	ADP
fis-5090	142	52	complexity	complexity	NOUN
fis-5090	142	53	of	of	ADP
fis-5090	142	54	ann	ann	PROPN
fis-5090	142	55	,	,	PUNCT
fis-5090	142	56	i.e.	i.e.	X
fis-5090	142	57	,	,	PUNCT
fis-5090	142	58	the	the	DET
fis-5090	142	59	number	number	NOUN
fis-5090	142	60	of	of	ADP
fis-5090	142	61	fitted	fit	VERB
fis-5090	142	62	parameters	parameter	NOUN
fis-5090	142	63	,	,	PUNCT
fis-5090	142	64	which	which	PRON
fis-5090	142	65	are	be	AUX
fis-5090	142	66	weights	weight	NOUN
fis-5090	142	67	and	and	CCONJ
fis-5090	142	68	bias	bias	NOUN
fis-5090	142	69	of	of	ADP
fis-5090	142	70	neurons	neuron	NOUN
fis-5090	142	71	.	.	PUNCT
fis-5090	143	1	the	the	DET
fis-5090	143	2	maximum	maximum	ADJ
fis-5090	143	3	error	error	NOUN
fis-5090	143	4	on	on	ADP
fis-5090	143	5	the	the	DET
fis-5090	143	6	validation	validation	NOUN
fis-5090	143	7	data	datum	NOUN
fis-5090	143	8	,	,	PUNCT
fis-5090	143	9	as	as	ADV
fis-5090	143	10	well	well	ADV
fis-5090	143	11	as	as	ADP
fis-5090	143	12	on	on	ADP
fis-5090	143	13	the	the	DET
fis-5090	143	14	training	training	NOUN
fis-5090	143	15	data	datum	NOUN
fis-5090	143	16	,	,	PUNCT
fis-5090	143	17	does	do	AUX
fis-5090	143	18	not	not	PART
fis-5090	143	19	change	change	VERB
fis-5090	143	20	significantly	significantly	ADV
fis-5090	143	21	.	.	PUNCT
fis-5090	144	1	having	having	AUX
fis-5090	144	2	chosen	choose	VERB
fis-5090	144	3	n=10	n=10	PRON
fis-5090	144	4	as	as	ADP
fis-5090	144	5	the	the	DET
fis-5090	144	6	optimal	optimal	ADJ
fis-5090	144	7	number	number	NOUN
fis-5090	144	8	of	of	ADP
fis-5090	144	9	neurons	neuron	NOUN
fis-5090	144	10	in	in	ADP
fis-5090	144	11	a	a	DET
fis-5090	144	12	layer	layer	NOUN
fis-5090	144	13	based	base	VERB
fis-5090	144	14	on	on	ADP
fis-5090	144	15	the	the	DET
fis-5090	144	16	data	datum	NOUN
fis-5090	144	17	presented	present	VERB
fis-5090	144	18	in	in	ADP
fis-5090	144	19	fig	fig	NOUN
fis-5090	144	20	.	.	PUNCT
fis-5090	145	1	5(a	5(a	NUM
fis-5090	145	2	)	)	PUNCT
fis-5090	145	3	,	,	PUNCT
fis-5090	145	4	we	we	PRON
fis-5090	145	5	further	far	ADV
fis-5090	145	6	investigated	investigate	VERB
fis-5090	145	7	the	the	DET
fis-5090	145	8	accuracy	accuracy	NOUN
fis-5090	145	9	of	of	ADP
fis-5090	145	10	ann	ann	PROPN
fis-5090	145	11	depending	depend	VERB
fis-5090	145	12	on	on	ADP
fis-5090	145	13	the	the	DET
fis-5090	145	14	number	number	NOUN
fis-5090	145	15	of	of	ADP
fis-5090	145	16	hidden	hidden	ADJ
fis-5090	145	17	layers	layer	NOUN
fis-5090	145	18	.	.	PUNCT
fis-5090	146	1	the	the	DET
fis-5090	146	2	results	result	NOUN
fis-5090	146	3	are	be	AUX
fis-5090	146	4	shown	show	VERB
fis-5090	146	5	in	in	ADP
fis-5090	146	6	fig	fig	NOUN
fis-5090	146	7	.	.	PUNCT
fis-5090	147	1	5(b	5(b	NUM
fis-5090	147	2	)	)	PUNCT
fis-5090	147	3	.	.	PUNCT
fis-5090	148	1	it	it	PRON
fis-5090	148	2	can	can	AUX
fis-5090	148	3	be	be	AUX
fis-5090	148	4	seen	see	VERB
fis-5090	148	5	that	that	SCONJ
fis-5090	148	6	the	the	DET
fis-5090	148	7	ann	ann	PROPN
fis-5090	148	8	with	with	ADP
fis-5090	148	9	l=1	l=1	PROPN
fis-5090	148	10	gives	give	VERB
fis-5090	148	11	a	a	DET
fis-5090	148	12	very	very	ADV
fis-5090	148	13	large	large	ADJ
fis-5090	148	14	error	error	NOUN
fis-5090	148	15	on	on	ADP
fis-5090	148	16	the	the	DET
fis-5090	148	17	training	training	NOUN
fis-5090	148	18	data	datum	NOUN
fis-5090	148	19	.	.	PUNCT
fis-5090	149	1	this	this	DET
fis-5090	149	2	error	error	NOUN
fis-5090	149	3	decreases	decrease	VERB
fis-5090	149	4	rapidly	rapidly	ADV
fis-5090	149	5	with	with	ADP
fis-5090	149	6	the	the	DET
fis-5090	149	7	increase	increase	NOUN
fis-5090	149	8	of	of	ADP
fis-5090	149	9	the	the	DET
fis-5090	149	10	number	number	NOUN
fis-5090	149	11	of	of	ADP
fis-5090	149	12	layers	layer	NOUN
fis-5090	149	13	up	up	ADP
fis-5090	149	14	to	to	ADP
fis-5090	149	15	l=3	l=3	PROPN
fis-5090	149	16	,	,	PUNCT
fis-5090	149	17	and	and	CCONJ
fis-5090	149	18	then	then	ADV
fis-5090	149	19	decreases	decrease	VERB
fis-5090	149	20	much	much	ADV
fis-5090	149	21	slower	slow	ADJ
fis-5090	149	22	.	.	PUNCT
fis-5090	150	1	on	on	ADP
fis-5090	150	2	the	the	DET
fis-5090	150	3	other	other	ADJ
fis-5090	150	4	hand	hand	NOUN
fis-5090	150	5	,	,	PUNCT
fis-5090	150	6	the	the	DET
fis-5090	150	7	error	error	NOUN
fis-5090	150	8	on	on	ADP
fis-5090	150	9	the	the	DET
fis-5090	150	10	validation	validation	NOUN
fis-5090	150	11	data	data	NOUN
fis-5090	150	12	decreases	decrease	VERB
fis-5090	150	13	when	when	SCONJ
fis-5090	150	14	the	the	DET
fis-5090	150	15	number	number	NOUN
fis-5090	150	16	of	of	ADP
fis-5090	150	17	hidden	hide	VERB
fis-5090	150	18	layers	layer	NOUN
fis-5090	150	19	increases	increase	VERB
fis-5090	150	20	up	up	ADP
fis-5090	150	21	to	to	ADP
fis-5090	150	22	l=4	l=4	PROPN
fis-5090	150	23	,	,	PUNCT
fis-5090	150	24	after	after	ADP
fis-5090	150	25	which	which	PRON
fis-5090	150	26	it	it	PRON
fis-5090	150	27	is	be	AUX
fis-5090	150	28	almost	almost	ADV
fis-5090	150	29	unchanged	unchanged	ADJ
fis-5090	150	30	considering	consider	VERB
fis-5090	150	31	the	the	DET
fis-5090	150	32	statistical	statistical	ADJ
fis-5090	150	33	variation	variation	NOUN
fis-5090	150	34	for	for	ADP
fis-5090	150	35	different	different	ADJ
fis-5090	150	36	ann	ann	PROPN
fis-5090	150	37	samples	sample	NOUN
fis-5090	150	38	.	.	PUNCT
fis-5090	151	1	figure	figure	NOUN
fis-5090	151	2	5	5	NUM
fis-5090	151	3	:	:	PUNCT
fis-5090	151	4	ann	ann	NOUN
fis-5090	151	5	error	error	NOUN
fis-5090	151	6	as	as	ADP
fis-5090	151	7	a	a	DET
fis-5090	151	8	function	function	NOUN
fis-5090	151	9	of	of	ADP
fis-5090	151	10	(	(	PUNCT
fis-5090	151	11	a	a	X
fis-5090	151	12	)	)	PUNCT
fis-5090	151	13	the	the	DET
fis-5090	151	14	number	number	NOUN
fis-5090	151	15	of	of	ADP
fis-5090	151	16	neurons	neuron	NOUN
fis-5090	151	17	in	in	ADP
fis-5090	151	18	the	the	DET
fis-5090	151	19	hidden	hide	VERB
fis-5090	151	20	layer	layer	NOUN
fis-5090	151	21	n	n	NOUN
fis-5090	151	22	and	and	CCONJ
fis-5090	151	23	(	(	PUNCT
fis-5090	151	24	b	b	X
fis-5090	151	25	)	)	PUNCT
fis-5090	151	26	the	the	DET
fis-5090	151	27	number	number	NOUN
fis-5090	151	28	of	of	ADP
fis-5090	151	29	hidden	hidden	ADJ
fis-5090	151	30	layers	layer	NOUN
fis-5090	151	31	l.	l.	PROPN
fis-5090	151	32	based	base	VERB
fis-5090	151	33	on	on	ADP
fis-5090	151	34	the	the	DET
fis-5090	151	35	parametric	parametric	ADJ
fis-5090	151	36	studies	study	NOUN
fis-5090	151	37	carried	carry	VERB
fis-5090	151	38	out	out	ADP
fis-5090	151	39	,	,	PUNCT
fis-5090	151	40	a	a	DET
fis-5090	151	41	network	network	NOUN
fis-5090	151	42	with	with	ADP
fis-5090	151	43	the	the	DET
fis-5090	151	44	number	number	NOUN
fis-5090	151	45	of	of	ADP
fis-5090	151	46	hidden	hidden	ADJ
fis-5090	151	47	layers	layer	NOUN
fis-5090	151	48	l=4	l=4	PROPN
fis-5090	151	49	and	and	CCONJ
fis-5090	151	50	the	the	DET
fis-5090	151	51	number	number	NOUN
fis-5090	151	52	of	of	ADP
fis-5090	151	53	neurons	neuron	NOUN
fis-5090	151	54	in	in	ADP
fis-5090	151	55	the	the	DET
fis-5090	151	56	layer	layer	NOUN
fis-5090	151	57	n=10	n=10	PRON
fis-5090	151	58	was	be	AUX
fis-5090	151	59	chosen	choose	VERB
fis-5090	151	60	as	as	ADP
fis-5090	151	61	the	the	DET
fis-5090	151	62	main	main	ADJ
fis-5090	151	63	structure	structure	NOUN
fis-5090	151	64	of	of	ADP
fis-5090	151	65	the	the	DET
fis-5090	151	66	ann	ann	PROPN
fis-5090	151	67	.	.	PUNCT
fis-5090	152	1	investigation	investigation	NOUN
fis-5090	152	2	of	of	ADP
fis-5090	152	3	the	the	DET
fis-5090	152	4	influence	influence	NOUN
fis-5090	152	5	of	of	ADP
fis-5090	152	6	the	the	DET
fis-5090	152	7	type	type	NOUN
fis-5090	152	8	of	of	ADP
fis-5090	152	9	transfer	transfer	NOUN
fis-5090	152	10	function	function	NOUN
fis-5090	152	11	of	of	ADP
fis-5090	152	12	the	the	DET
fis-5090	152	13	hidden	hide	VERB
fis-5090	152	14	layer	layer	NOUN
fis-5090	152	15	neurons	neuron	NOUN
fis-5090	152	16	(	(	PUNCT
fis-5090	152	17	fig	fig	NOUN
fis-5090	152	18	.	.	NOUN
fis-5090	152	19	6	6	NUM
fis-5090	152	20	)	)	PUNCT
fis-5090	152	21	showed	show	VERB
fis-5090	152	22	that	that	SCONJ
fis-5090	152	23	the	the	DET
fis-5090	152	24	sin(x	sin(x	PROPN
fis-5090	152	25	)	)	PUNCT
fis-5090	152	26	function	function	NOUN
fis-5090	152	27	shows	show	VERB
fis-5090	152	28	the	the	DET
fis-5090	152	29	minimum	minimum	NOUN
fis-5090	152	30	rmse	rmse	NOUN
fis-5090	152	31	.	.	PUNCT
fis-5090	153	1	verification	verification	NOUN
fis-5090	153	2	of	of	ADP
fis-5090	153	3	the	the	DET
fis-5090	153	4	ann	ann	PROPN
fis-5090	153	5	model	model	NOUN
fis-5090	153	6	of	of	ADP
fis-5090	153	7	the	the	DET
fis-5090	153	8	lsp	lsp	PROPN
fis-5090	153	9	was	be	AUX
fis-5090	153	10	carried	carry	VERB
fis-5090	153	11	out	out	ADP
fis-5090	153	12	by	by	ADP
fis-5090	153	13	calculating	calculate	VERB
fis-5090	153	14	residual	residual	ADJ
fis-5090	153	15	stresses	stress	NOUN
fis-5090	153	16	and	and	CCONJ
fis-5090	153	17	their	their	PRON
fis-5090	153	18	penetration	penetration	NOUN
fis-5090	153	19	depth	depth	NOUN
fis-5090	153	20	in	in	ADP
fis-5090	153	21	titanium	titanium	NOUN
fis-5090	153	22	alloy	alloy	NOUN
fis-5090	153	23	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	153	24	.	.	PUNCT
fis-5090	154	1	the	the	DET
fis-5090	154	2	values	value	NOUN
fis-5090	154	3	obtained	obtain	VERB
fis-5090	154	4	were	be	AUX
fis-5090	154	5	compared	compare	VERB
fis-5090	154	6	with	with	ADP
fis-5090	154	7	validation	validation	NOUN
fis-5090	154	8	data	datum	NOUN
fis-5090	154	9	on	on	ADP
fis-5090	154	10	which	which	PRON
fis-5090	154	11	the	the	DET
fis-5090	154	12	network	network	NOUN
fis-5090	154	13	was	be	AUX
fis-5090	154	14	not	not	PART
fis-5090	154	15	trained	train	VERB
fis-5090	154	16	.	.	PUNCT
fis-5090	155	1	the	the	DET
fis-5090	155	2	correlation	correlation	NOUN
fis-5090	155	3	curves	curve	VERB
fis-5090	155	4	on	on	ADP
fis-5090	155	5	the	the	DET
fis-5090	155	6	training	training	NOUN
fis-5090	155	7	data	datum	NOUN
fis-5090	155	8	(	(	PUNCT
fis-5090	155	9	fig.7	fig.7	ADJ
fis-5090	155	10	)	)	PUNCT
fis-5090	155	11	show	show	VERB
fis-5090	155	12	a	a	DET
fis-5090	155	13	high	high	ADJ
fis-5090	155	14	degree	degree	NOUN
fis-5090	155	15	of	of	ADP
fis-5090	155	16	prediction	prediction	NOUN
fis-5090	155	17	,	,	PUNCT
fis-5090	155	18	indicating	indicate	VERB
fis-5090	155	19	the	the	DET
fis-5090	155	20	high	high	ADJ
fis-5090	155	21	accuracy	accuracy	NOUN
fis-5090	155	22	of	of	ADP
fis-5090	155	23	fitting	fitting	ADJ
fis-5090	155	24	the	the	DET
fis-5090	155	25	ann	ann	PROPN
fis-5090	155	26	to	to	ADP
fis-5090	155	27	the	the	DET
fis-5090	155	28	data	datum	NOUN
fis-5090	155	29	.	.	PUNCT
fis-5090	156	1	the	the	PRON
fis-5090	156	2	obtained	obtain	VERB
fis-5090	156	3	ann	ann	PROPN
fis-5090	156	4	on	on	ADP
fis-5090	156	5	validation	validation	NOUN
fis-5090	156	6	data	datum	NOUN
fis-5090	156	7	shows	show	VERB
fis-5090	156	8	an	an	DET
fis-5090	156	9	acceptable	acceptable	ADJ
fis-5090	156	10	value	value	NOUN
fis-5090	156	11	of	of	ADP
fis-5090	156	12	accuracy	accuracy	NOUN
fis-5090	156	13	.	.	PUNCT
fis-5090	157	1	the	the	DET
fis-5090	157	2	best	good	ADJ
fis-5090	157	3	fit	fit	NOUN
fis-5090	157	4	is	be	AUX
fis-5090	157	5	obtained	obtain	VERB
fis-5090	157	6	for	for	ADP
fis-5090	157	7	the	the	DET
fis-5090	157	8	maximum	maximum	ADJ
fis-5090	157	9	residual	residual	ADJ
fis-5090	157	10	stresses	stress	NOUN
fis-5090	157	11	.	.	PUNCT
fis-5090	158	1	the	the	DET
fis-5090	158	2	error	error	NOUN
fis-5090	158	3	in	in	ADP
fis-5090	158	4	the	the	DET
fis-5090	158	5	quantitative	quantitative	ADJ
fis-5090	158	6	calculation	calculation	NOUN
fis-5090	158	7	of	of	ADP
fis-5090	158	8	surface	surface	NOUN
fis-5090	158	9	stresses	stress	NOUN
fis-5090	158	10	and	and	CCONJ
fis-5090	158	11	residual	residual	ADJ
fis-5090	158	12	layer	layer	NOUN
fis-5090	158	13	penetration	penetration	NOUN
fis-5090	158	14	depth	depth	NOUN
fis-5090	158	15	is	be	AUX
fis-5090	158	16	much	much	ADV
fis-5090	158	17	higher	high	ADJ
fis-5090	158	18	than	than	ADP
fis-5090	158	19	for	for	ADP
fis-5090	158	20	maximum	maximum	ADJ
fis-5090	158	21	residual	residual	ADJ
fis-5090	158	22	stresses	stress	NOUN
fis-5090	158	23	.	.	PUNCT
fis-5090	159	1	i	i	PRON
fis-5090	159	2	m.verezhak	m.verezhak	VERB
fis-5090	159	3	et	et	PROPN
fis-5090	159	4	alii	alii	PROPN
fis-5090	159	5	,	,	PUNCT
fis-5090	159	6	frattura	frattura	PROPN
fis-5090	159	7	ed	ed	PROPN
fis-5090	159	8	integrità	integrità	PROPN
fis-5090	159	9	strutturale	strutturale	PROPN
fis-5090	159	10	,	,	PUNCT
fis-5090	159	11	70	70	NUM
fis-5090	159	12	(	(	PUNCT
fis-5090	159	13	2024	2024	NUM
fis-5090	159	14	)	)	PUNCT
fis-5090	159	15	121	121	NUM
fis-5090	159	16	-	-	SYM
fis-5090	159	17	132	132	NUM
fis-5090	159	18	;	;	PUNCT
fis-5090	159	19	doi	doi	NOUN
fis-5090	159	20	:	:	PUNCT
fis-5090	159	21	10.3221	10.3221	NUM
fis-5090	159	22	/	/	SYM
fis-5090	159	23	igf	igf	NOUN
fis-5090	159	24	-	-	ADJ
fis-5090	159	25	esis.70.07	esis.70.07	ADJ
fis-5090	159	26	128	128	NUM
fis-5090	159	27	figure	figure	NOUN
fis-5090	159	28	6	6	NUM
fis-5090	159	29	:	:	PUNCT
fis-5090	159	30	ann	ann	NOUN
fis-5090	159	31	error	error	NOUN
fis-5090	159	32	depending	depend	VERB
fis-5090	159	33	on	on	ADP
fis-5090	159	34	the	the	DET
fis-5090	159	35	type	type	NOUN
fis-5090	159	36	of	of	ADP
fis-5090	159	37	transfer	transfer	NOUN
fis-5090	159	38	function	function	NOUN
fis-5090	159	39	.	.	PUNCT
fis-5090	160	1	figure	figure	VERB
fis-5090	160	2	7	7	NUM
fis-5090	160	3	:	:	PUNCT
fis-5090	160	4	correlation	correlation	NOUN
fis-5090	160	5	curves	curve	NOUN
fis-5090	160	6	of	of	ADP
fis-5090	160	7	ann	ann	PROPN
fis-5090	160	8	-	-	PUNCT
fis-5090	160	9	predicted	predict	VERB
fis-5090	160	10	and	and	CCONJ
fis-5090	160	11	measured	measured	ADJ
fis-5090	160	12	values	value	NOUN
fis-5090	160	13	:	:	PUNCT
fis-5090	160	14	(	(	PUNCT
fis-5090	160	15	a	a	X
fis-5090	160	16	)	)	PUNCT
fis-5090	160	17	maximal	maximal	ADJ
fis-5090	160	18	compressive	compressive	ADJ
fis-5090	160	19	residual	residual	ADJ
fis-5090	160	20	stresses	stress	NOUN
fis-5090	160	21	,	,	PUNCT
fis-5090	160	22	(	(	PUNCT
fis-5090	160	23	b	b	X
fis-5090	160	24	)	)	PUNCT
fis-5090	160	25	surface	surface	NOUN
fis-5090	160	26	residual	residual	ADJ
fis-5090	160	27	stress	stress	NOUN
fis-5090	160	28	and	and	CCONJ
fis-5090	160	29	(	(	PUNCT
fis-5090	160	30	c	c	NOUN
fis-5090	160	31	)	)	PUNCT
fis-5090	160	32	depth	depth	NOUN
fis-5090	160	33	of	of	ADP
fis-5090	160	34	modified	modify	VERB
fis-5090	160	35	layer	layer	NOUN
fis-5090	160	36	.	.	PUNCT
fis-5090	161	1	selection	selection	NOUN
fis-5090	161	2	of	of	ADP
fis-5090	161	3	processing	processing	NOUN
fis-5090	161	4	mode	mode	NOUN
fis-5090	161	5	the	the	DET
fis-5090	161	6	trained	train	VERB
fis-5090	161	7	ann	ann	PROPN
fis-5090	161	8	is	be	AUX
fis-5090	161	9	capable	capable	ADJ
fis-5090	161	10	of	of	ADP
fis-5090	161	11	describing	describe	VERB
fis-5090	161	12	the	the	DET
fis-5090	161	13	behavior	behavior	NOUN
fis-5090	161	14	of	of	ADP
fis-5090	161	15	a	a	DET
fis-5090	161	16	numerical	numerical	ADJ
fis-5090	161	17	model	model	NOUN
fis-5090	161	18	or	or	CCONJ
fis-5090	161	19	experimental	experimental	ADJ
fis-5090	161	20	results	result	NOUN
fis-5090	161	21	for	for	ADP
fis-5090	161	22	predicting	predict	VERB
fis-5090	161	23	the	the	DET
fis-5090	161	24	hardened	harden	VERB
fis-5090	161	25	layer	layer	NOUN
fis-5090	161	26	characteristics	characteristic	NOUN
fis-5090	161	27	from	from	ADP
fis-5090	161	28	laser	laser	NOUN
fis-5090	161	29	shock	shock	NOUN
fis-5090	161	30	peening	peene	VERB
fis-5090	161	31	parameters	parameter	NOUN
fis-5090	161	32	.	.	PUNCT
fis-5090	162	1	the	the	DET
fis-5090	162	2	resulting	result	VERB
fis-5090	162	3	deep	deep	ADJ
fis-5090	162	4	learning	learning	NOUN
fis-5090	162	5	model	model	NOUN
fis-5090	162	6	is	be	AUX
fis-5090	162	7	used	use	VERB
fis-5090	162	8	to	to	PART
fis-5090	162	9	optimize	optimize	VERB
fis-5090	162	10	the	the	DET
fis-5090	162	11	plant	plant	NOUN
fis-5090	162	12	parameters	parameter	NOUN
fis-5090	162	13	to	to	PART
fis-5090	162	14	obtain	obtain	VERB
fis-5090	162	15	maximum	maximum	ADJ
fis-5090	162	16	residual	residual	ADJ
fis-5090	162	17	layer	layer	NOUN
fis-5090	162	18	depth	depth	NOUN
fis-5090	162	19	and	and	CCONJ
fis-5090	162	20	to	to	PART
fis-5090	162	21	generate	generate	VERB
fis-5090	162	22	maximum	maximum	ADJ
fis-5090	162	23	compressive	compressive	ADJ
fis-5090	162	24	residual	residual	ADJ
fis-5090	162	25	stresses	stress	NOUN
fis-5090	162	26	.	.	PUNCT
fis-5090	163	1	m.verezhak	m.verezhak	PROPN
fis-5090	163	2	et	et	PROPN
fis-5090	163	3	alii	alii	PROPN
fis-5090	163	4	,	,	PUNCT
fis-5090	163	5	frattura	frattura	PROPN
fis-5090	163	6	ed	ed	PROPN
fis-5090	163	7	integrità	integrità	PROPN
fis-5090	163	8	strutturale	strutturale	PROPN
fis-5090	163	9	,	,	PUNCT
fis-5090	163	10	70	70	NUM
fis-5090	163	11	(	(	PUNCT
fis-5090	163	12	2024	2024	NUM
fis-5090	163	13	)	)	PUNCT
fis-5090	163	14	121	121	NUM
fis-5090	163	15	-	-	SYM
fis-5090	163	16	132	132	NUM
fis-5090	163	17	;	;	PUNCT
fis-5090	163	18	doi	doi	NOUN
fis-5090	163	19	:	:	PUNCT
fis-5090	163	20	10.3221	10.3221	NUM
fis-5090	163	21	/	/	SYM
fis-5090	163	22	igf	igf	NOUN
fis-5090	163	23	-	-	ADJ
fis-5090	163	24	esis.70.07	esis.70.07	ADJ
fis-5090	163	25	129	129	NUM
fis-5090	163	26	the	the	DET
fis-5090	163	27	distribution	distribution	NOUN
fis-5090	163	28	maps	map	NOUN
fis-5090	163	29	of	of	ADP
fis-5090	163	30	the	the	DET
fis-5090	163	31	hardened	harden	VERB
fis-5090	163	32	layer	layer	NOUN
fis-5090	163	33	depth	depth	NOUN
fis-5090	163	34	h	h	NOUN
fis-5090	163	35	and	and	CCONJ
fis-5090	163	36	maximum	maximum	ADJ
fis-5090	163	37	residual	residual	ADJ
fis-5090	163	38	compressive	compressive	ADJ
fis-5090	163	39	stress	stress	NOUN
fis-5090	163	40			PROPN
fis-5090	163	41	max	max	PROPN
fis-5090	163	42	res	re	NOUN
fis-5090	163	43	,	,	PUNCT
fis-5090	163	44	respectively	respectively	ADV
fis-5090	163	45	,	,	PUNCT
fis-5090	163	46	reconstructed	reconstruct	VERB
fis-5090	163	47	using	use	VERB
fis-5090	163	48	ann	ann	PROPN
fis-5090	163	49	are	be	AUX
fis-5090	163	50	shown	show	VERB
fis-5090	163	51	in	in	ADP
fis-5090	163	52	figs	fig	NOUN
fis-5090	163	53	.	.	PUNCT
fis-5090	164	1	6	6	NUM
fis-5090	164	2	and	and	CCONJ
fis-5090	164	3	7	7	NUM
fis-5090	164	4	.	.	X
fis-5090	164	5	each	each	PRON
fis-5090	164	6	of	of	ADP
fis-5090	164	7	the	the	DET
fis-5090	164	8	maps	map	NOUN
fis-5090	164	9	(	(	PUNCT
fis-5090	164	10	fig.8	fig.8	PROPN
fis-5090	164	11	.	.	PUNCT
fis-5090	164	12	and	and	CCONJ
fis-5090	164	13	fig.9	fig.9	PROPN
fis-5090	164	14	.	.	PUNCT
fis-5090	164	15	)	)	PUNCT
fis-5090	164	16	are	be	AUX
fis-5090	164	17	calculated	calculate	VERB
fis-5090	164	18	by	by	ADP
fis-5090	164	19	averaging	average	VERB
fis-5090	164	20	100000	100000	NUM
fis-5090	164	21	ann	ann	PROPN
fis-5090	164	22	predictions	prediction	NOUN
fis-5090	164	23	.	.	PUNCT
fis-5090	165	1	figure	figure	VERB
fis-5090	165	2	8	8	NUM
fis-5090	165	3	:	:	PUNCT
fis-5090	165	4	maps	map	NOUN
fis-5090	165	5	of	of	ADP
fis-5090	165	6	the	the	DET
fis-5090	165	7	modified	modify	VERB
fis-5090	165	8	layer	layer	NOUN
fis-5090	165	9	depth	depth	NOUN
fis-5090	165	10	distribution	distribution	NOUN
fis-5090	165	11	in	in	ADP
fis-5090	165	12	the	the	DET
fis-5090	165	13	parameter	parameter	NOUN
fis-5090	165	14	plane	plane	NOUN
fis-5090	165	15	for	for	ADP
fis-5090	165	16	one	one	NUM
fis-5090	165	17	(	(	PUNCT
fis-5090	165	18	a	a	NOUN
fis-5090	165	19	)	)	PUNCT
fis-5090	165	20	and	and	CCONJ
fis-5090	165	21	two	two	NUM
fis-5090	165	22	(	(	PUNCT
fis-5090	165	23	b	b	NOUN
fis-5090	165	24	)	)	PUNCT
fis-5090	165	25	passes	pass	NOUN
fis-5090	165	26	,	,	PUNCT
fis-5090	165	27	reconstructed	reconstruct	VERB
fis-5090	165	28	using	use	VERB
fis-5090	165	29	a	a	DET
fis-5090	165	30	trained	train	VERB
fis-5090	165	31	ann	ann	PROPN
fis-5090	165	32	.	.	PUNCT
fis-5090	166	1	optimal	optimal	ADJ
fis-5090	166	2	parameter	parameter	NOUN
fis-5090	166	3	corresponding	correspond	VERB
fis-5090	166	4	to	to	ADP
fis-5090	166	5	the	the	DET
fis-5090	166	6	greatest	great	ADJ
fis-5090	166	7	depth	depth	NOUN
fis-5090	166	8	at	at	ADP
fis-5090	166	9	maximum	maximum	ADJ
fis-5090	166	10	compressive	compressive	ADJ
fis-5090	166	11	stresses	stress	NOUN
fis-5090	166	12	not	not	PART
fis-5090	166	13	lower	low	ADJ
fis-5090	166	14	than	than	SCONJ
fis-5090	166	15	-300	-300	NUM
fis-5090	166	16	mpa	mpa	NOUN
fis-5090	166	17	are	be	AUX
fis-5090	166	18	shown	show	VERB
fis-5090	166	19	by	by	ADP
fis-5090	166	20	green	green	ADJ
fis-5090	166	21	circles	circle	NOUN
fis-5090	166	22	.	.	PUNCT
fis-5090	167	1	figure	figure	VERB
fis-5090	167	2	9	9	NUM
fis-5090	167	3	:	:	PUNCT
fis-5090	167	4	distribution	distribution	NOUN
fis-5090	167	5	maps	map	NOUN
fis-5090	167	6	of	of	ADP
fis-5090	167	7	maximum	maximum	ADJ
fis-5090	167	8	compressive	compressive	ADJ
fis-5090	167	9	stresses	stress	NOUN
fis-5090	167	10	in	in	ADP
fis-5090	167	11	the	the	DET
fis-5090	167	12	parameter	parameter	NOUN
fis-5090	167	13	plane	plane	NOUN
fis-5090	167	14	for	for	ADP
fis-5090	167	15	one	one	NUM
fis-5090	167	16	(	(	PUNCT
fis-5090	167	17	a	a	NOUN
fis-5090	167	18	)	)	PUNCT
fis-5090	167	19	and	and	CCONJ
fis-5090	167	20	two	two	NUM
fis-5090	167	21	(	(	PUNCT
fis-5090	167	22	b	b	NOUN
fis-5090	167	23	)	)	PUNCT
fis-5090	167	24	passes	pass	NOUN
fis-5090	167	25	,	,	PUNCT
fis-5090	167	26	reconstructed	reconstruct	VERB
fis-5090	167	27	using	use	VERB
fis-5090	167	28	trained	train	VERB
fis-5090	167	29	ann	ann	PROPN
fis-5090	167	30	.	.	PUNCT
fis-5090	168	1	optimal	optimal	ADJ
fis-5090	168	2	parameters	parameter	NOUN
fis-5090	168	3	corresponding	correspond	VERB
fis-5090	168	4	to	to	ADP
fis-5090	168	5	the	the	DET
fis-5090	168	6	highest	high	ADJ
fis-5090	168	7	compressive	compressive	ADJ
fis-5090	168	8	stresses	stress	NOUN
fis-5090	168	9	at	at	ADP
fis-5090	168	10	a	a	DET
fis-5090	168	11	modified	modify	VERB
fis-5090	168	12	layer	layer	NOUN
fis-5090	168	13	depth	depth	NOUN
fis-5090	168	14	of	of	ADP
fis-5090	168	15	at	at	ADV
fis-5090	168	16	least	least	ADV
fis-5090	168	17	0.5	0.5	NUM
fis-5090	168	18	mm	mm	NOUN
fis-5090	168	19	are	be	AUX
fis-5090	168	20	shown	show	VERB
fis-5090	168	21	by	by	ADP
fis-5090	168	22	green	green	ADJ
fis-5090	168	23	circles	circle	NOUN
fis-5090	168	24	.	.	PUNCT
fis-5090	169	1	the	the	DET
fis-5090	169	2	generated	generate	VERB
fis-5090	169	3	maps	map	NOUN
fis-5090	169	4	show	show	VERB
fis-5090	169	5	the	the	DET
fis-5090	169	6	possibility	possibility	NOUN
fis-5090	169	7	of	of	ADP
fis-5090	169	8	interpolating	interpolate	VERB
fis-5090	169	9	data	datum	NOUN
fis-5090	169	10	between	between	ADP
fis-5090	169	11	training	training	NOUN
fis-5090	169	12	data	datum	NOUN
fis-5090	169	13	points	point	NOUN
fis-5090	169	14	using	use	VERB
fis-5090	169	15	the	the	DET
fis-5090	169	16	ann	ann	PROPN
fis-5090	169	17	.	.	PUNCT
fis-5090	170	1	the	the	DET
fis-5090	170	2	distributions	distribution	NOUN
fis-5090	170	3	show	show	VERB
fis-5090	170	4	the	the	DET
fis-5090	170	5	difficult	difficult	ADJ
fis-5090	170	6	dependence	dependence	NOUN
fis-5090	170	7	of	of	ADP
fis-5090	170	8	the	the	DET
fis-5090	170	9	hardened	harden	VERB
fis-5090	170	10	layer	layer	NOUN
fis-5090	170	11	depth	depth	NOUN
fis-5090	170	12	and	and	CCONJ
fis-5090	170	13	maximum	maximum	ADJ
fis-5090	170	14	compression	compression	NOUN
fis-5090	170	15	stresses	stress	NOUN
fis-5090	170	16	on	on	ADP
fis-5090	170	17	the	the	DET
fis-5090	170	18	machining	machining	NOUN
fis-5090	170	19	process	process	NOUN
fis-5090	170	20	parameters	parameter	NOUN
fis-5090	170	21	.	.	PUNCT
fis-5090	171	1	the	the	DET
fis-5090	171	2	depth	depth	NOUN
fis-5090	171	3	of	of	ADP
fis-5090	171	4	the	the	DET
fis-5090	171	5	modified	modify	VERB
fis-5090	171	6	layer	layer	NOUN
fis-5090	171	7	varies	vary	VERB
fis-5090	171	8	from	from	ADP
fis-5090	171	9	0.2	0.2	NUM
fis-5090	171	10	to	to	PART
fis-5090	171	11	1.2	1.2	NUM
fis-5090	171	12	mm	mm	NOUN
fis-5090	171	13	,	,	PUNCT
fis-5090	171	14	while	while	SCONJ
fis-5090	171	15	the	the	DET
fis-5090	171	16	range	range	NOUN
fis-5090	171	17	of	of	ADP
fis-5090	171	18	compressive	compressive	ADJ
fis-5090	171	19	stresses	stress	NOUN
fis-5090	171	20	changes	change	NOUN
fis-5090	171	21	from	from	ADP
fis-5090	171	22	-600	-600	PROPN
fis-5090	171	23	mpa	mpa	PROPN
fis-5090	171	24	to	to	ADP
fis-5090	171	25	0	0	NUM
fis-5090	171	26	mpa	mpa	PROPN
fis-5090	171	27	.	.	PUNCT
fis-5090	172	1	we	we	PRON
fis-5090	172	2	searched	search	VERB
fis-5090	172	3	for	for	ADP
fis-5090	172	4	optimal	optimal	ADJ
fis-5090	172	5	processing	processing	NOUN
fis-5090	172	6	parameters	parameter	NOUN
fis-5090	172	7	to	to	PART
fis-5090	172	8	achieve	achieve	VERB
fis-5090	172	9	:	:	PUNCT
fis-5090	172	10	(	(	PUNCT
fis-5090	172	11	1	1	X
fis-5090	172	12	)	)	PUNCT
fis-5090	172	13	the	the	DET
fis-5090	172	14	maximum	maximum	ADJ
fis-5090	172	15	depth	depth	NOUN
fis-5090	172	16	of	of	ADP
fis-5090	172	17	the	the	DET
fis-5090	172	18	hardened	harden	VERB
fis-5090	172	19	layer	layer	NOUN
fis-5090	172	20	at	at	ADP
fis-5090	172	21	compressive	compressive	ADJ
fis-5090	172	22	stresses	stress	NOUN
fis-5090	172	23			PROPN
fis-5090	172	24	max	max	PROPN
fis-5090	172	25	res	re	NOUN
fis-5090	172	26	  	  	SPACE
fis-5090	172	27	;	;	PUNCT
fis-5090	172	28	not	not	PART
fis-5090	172	29	lower	low	ADJ
fis-5090	172	30	than	than	ADP
fis-5090	172	31	300	300	NUM
fis-5090	172	32	mpa	mpa	NOUN
fis-5090	172	33	and	and	CCONJ
fis-5090	172	34	(	(	PUNCT
fis-5090	172	35	2	2	NUM
fis-5090	172	36	)	)	PUNCT
fis-5090	172	37	maximum	maximum	ADJ
fis-5090	172	38	compressive	compressive	ADJ
fis-5090	172	39	stresses	stress	NOUN
fis-5090	172	40	at	at	ADP
fis-5090	172	41	a	a	DET
fis-5090	172	42	modified	modify	VERB
fis-5090	172	43	layer	layer	NOUN
fis-5090	172	44	depth	depth	NOUN
fis-5090	172	45	of	of	ADP
fis-5090	172	46	at	at	ADV
fis-5090	172	47	least	least	ADV
fis-5090	172	48	0.5	0.5	NUM
fis-5090	172	49	mm	mm	NOUN
fis-5090	172	50	.	.	PUNCT
fis-5090	173	1	the	the	DET
fis-5090	173	2	calculated	calculate	VERB
fis-5090	173	3	values	value	NOUN
fis-5090	173	4	of	of	ADP
fis-5090	173	5	the	the	DET
fis-5090	173	6	optimal	optimal	ADJ
fis-5090	173	7	parameters	parameter	NOUN
fis-5090	173	8	are	be	AUX
fis-5090	173	9	collected	collect	VERB
fis-5090	173	10	in	in	ADP
fis-5090	173	11	tab	tab	NOUN
fis-5090	173	12	.	.	PUNCT
fis-5090	173	13	5	5	NUM
fis-5090	173	14	and	and	CCONJ
fis-5090	173	15	shown	show	VERB
fis-5090	173	16	in	in	ADP
fis-5090	173	17	figs	fig	NOUN
fis-5090	173	18	.	.	PUNCT
fis-5090	174	1	8	8	NUM
fis-5090	174	2	and	and	CCONJ
fis-5090	174	3	9	9	NUM
fis-5090	174	4	(	(	PUNCT
fis-5090	174	5	green	green	ADJ
fis-5090	174	6	circles	circle	NOUN
fis-5090	174	7	)	)	PUNCT
fis-5090	174	8	.	.	PUNCT
fis-5090	175	1	number	number	NOUN
fis-5090	175	2	of	of	ADP
fis-5090	175	3	passes	pass	NOUN
fis-5090	175	4	overlap	overlap	NOUN
fis-5090	175	5	(	(	PUNCT
fis-5090	175	6	%	%	INTJ
fis-5090	175	7	)	)	PUNCT
fis-5090	175	8	energy	energy	NOUN
fis-5090	175	9	density	density	NOUN
fis-5090	175	10	(	(	PUNCT
fis-5090	175	11	gw	gw	PROPN
fis-5090	175	12	/	/	SYM
fis-5090	175	13	cm2	cm2	NOUN
fis-5090	175	14	)	)	PUNCT
fis-5090	175	15	max	max	PROPN
fis-5090	175	16	σres	σre	NOUN
fis-5090	175	17	(	(	PUNCT
fis-5090	175	18	мpа	мpа	NOUN
fis-5090	175	19	)	)	PUNCT
fis-5090	175	20	depth	depth	NOUN
fis-5090	175	21	(	(	PUNCT
fis-5090	175	22	mm	mm	NOUN
fis-5090	175	23	)	)	PUNCT
fis-5090	175	24	1	1	NUM
fis-5090	175	25	35.2	35.2	NUM
fis-5090	175	26	10.8	10.8	NUM
fis-5090	175	27	-672	-672	PROPN
fis-5090	175	28	0.95	0.95	NUM
fis-5090	175	29	2	2	NUM
fis-5090	175	30	29.2	29.2	NUM
fis-5090	175	31	22.4	22.4	NUM
fis-5090	175	32	-683	-683	NUM
fis-5090	175	33	1.05	1.05	NUM
fis-5090	175	34	1	1	NUM
fis-5090	175	35	42.5	42.5	NUM
fis-5090	175	36	20.1	20.1	NUM
fis-5090	175	37	-536	-536	NOUN
fis-5090	175	38	1.22	1.22	NUM
fis-5090	175	39	2	2	NUM
fis-5090	175	40	32.8	32.8	NUM
fis-5090	175	41	13.6	13.6	NUM
fis-5090	175	42	-598	-598	PROPN
fis-5090	175	43	1.18	1.18	NUM
fis-5090	175	44	table	table	NOUN
fis-5090	175	45	5	5	NUM
fis-5090	175	46	:	:	PUNCT
fis-5090	175	47	optimal	optimal	ADJ
fis-5090	175	48	processing	processing	NOUN
fis-5090	175	49	parameters	parameter	NOUN
fis-5090	175	50	determined	determine	VERB
fis-5090	175	51	using	use	VERB
fis-5090	175	52	the	the	DET
fis-5090	175	53	ann	ann	PROPN
fis-5090	175	54	.	.	PROPN
fis-5090	176	1	for	for	ADP
fis-5090	176	2	engineering	engineering	NOUN
fis-5090	176	3	applications	application	NOUN
fis-5090	176	4	,	,	PUNCT
fis-5090	176	5	in	in	ADP
fis-5090	176	6	combination	combination	NOUN
fis-5090	176	7	with	with	ADP
fis-5090	176	8	optimum	optimum	ADJ
fis-5090	176	9	machining	machining	NOUN
fis-5090	176	10	parameters	parameter	NOUN
fis-5090	176	11	and	and	CCONJ
fis-5090	176	12	characteristic	characteristic	ADJ
fis-5090	176	13	distribution	distribution	NOUN
fis-5090	176	14	maps	map	NOUN
fis-5090	176	15	similar	similar	ADJ
fis-5090	176	16	to	to	ADP
fis-5090	176	17	those	those	PRON
fis-5090	176	18	shown	show	VERB
fis-5090	176	19	in	in	ADP
fis-5090	176	20	figs	fig	NOUN
fis-5090	176	21	.	.	PUNCT
fis-5090	176	22	8	8	NUM
fis-5090	176	23	and	and	CCONJ
fis-5090	176	24	9	9	NUM
fis-5090	176	25	,	,	PUNCT
fis-5090	176	26	it	it	PRON
fis-5090	176	27	is	be	AUX
fis-5090	176	28	important	important	ADJ
fis-5090	176	29	to	to	PART
fis-5090	176	30	know	know	VERB
fis-5090	176	31	the	the	DET
fis-5090	176	32	permissible	permissible	ADJ
fis-5090	176	33	ranges	range	NOUN
fis-5090	176	34	of	of	ADP
fis-5090	176	35	machining	machining	NOUN
fis-5090	176	36	modes	mode	NOUN
fis-5090	176	37	to	to	PART
fis-5090	176	38	ensure	ensure	VERB
fis-5090	176	39	the	the	DET
fis-5090	176	40	m.verezhak	m.verezhak	NOUN
fis-5090	176	41	et	et	PROPN
fis-5090	176	42	alii	alii	PROPN
fis-5090	176	43	,	,	PUNCT
fis-5090	176	44	frattura	frattura	PROPN
fis-5090	176	45	ed	ed	PROPN
fis-5090	176	46	integrità	integrità	PROPN
fis-5090	176	47	strutturale	strutturale	PROPN
fis-5090	176	48	,	,	PUNCT
fis-5090	176	49	70	70	NUM
fis-5090	176	50	(	(	PUNCT
fis-5090	176	51	2024	2024	NUM
fis-5090	176	52	)	)	PUNCT
fis-5090	176	53	121	121	NUM
fis-5090	176	54	-	-	SYM
fis-5090	176	55	132	132	NUM
fis-5090	176	56	;	;	PUNCT
fis-5090	176	57	doi	doi	NOUN
fis-5090	176	58	:	:	PUNCT
fis-5090	176	59	10.3221	10.3221	NUM
fis-5090	176	60	/	/	SYM
fis-5090	176	61	igf	igf	NOUN
fis-5090	176	62	-	-	ADJ
fis-5090	176	63	esis.70.07	esis.70.07	ADJ
fis-5090	176	64	130	130	NUM
fis-5090	176	65	quality	quality	NOUN
fis-5090	176	66	of	of	ADP
fis-5090	176	67	the	the	DET
fis-5090	176	68	hardened	harden	VERB
fis-5090	176	69	layer	layer	NOUN
fis-5090	176	70	is	be	AUX
fis-5090	176	71	not	not	PART
fis-5090	176	72	lower	low	ADJ
fis-5090	176	73	than	than	ADP
fis-5090	176	74	the	the	DET
fis-5090	176	75	threshold	threshold	NOUN
fis-5090	176	76	value	value	NOUN
fis-5090	176	77	.	.	PUNCT
fis-5090	177	1	fig	fig	NOUN
fis-5090	177	2	.	.	PUNCT
fis-5090	178	1	10	10	NUM
fis-5090	178	2	shows	show	VERB
fis-5090	178	3	the	the	DET
fis-5090	178	4	maps	map	NOUN
fis-5090	178	5	of	of	ADP
fis-5090	178	6	allowable	allowable	ADJ
fis-5090	178	7	parameters	parameter	NOUN
fis-5090	178	8	calculated	calculate	VERB
fis-5090	178	9	with	with	ADP
fis-5090	178	10	the	the	DET
fis-5090	178	11	help	help	NOUN
fis-5090	178	12	of	of	ADP
fis-5090	178	13	the	the	DET
fis-5090	178	14	ann	ann	PROPN
fis-5090	178	15	in	in	ADP
fis-5090	178	16	comparison	comparison	NOUN
fis-5090	178	17	with	with	ADP
fis-5090	178	18	the	the	DET
fis-5090	178	19	experimentally	experimentally	ADV
fis-5090	178	20	confirmed	confirm	VERB
fis-5090	178	21	modes	mode	NOUN
fis-5090	178	22	.	.	PUNCT
fis-5090	179	1	it	it	PRON
fis-5090	179	2	can	can	AUX
fis-5090	179	3	be	be	AUX
fis-5090	179	4	concluded	conclude	VERB
fis-5090	179	5	that	that	SCONJ
fis-5090	179	6	ann	ann	PROPN
fis-5090	179	7	prediction	prediction	NOUN
fis-5090	179	8	in	in	ADP
fis-5090	179	9	that	that	DET
fis-5090	179	10	part	part	NOUN
fis-5090	179	11	is	be	AUX
fis-5090	179	12	in	in	ADP
fis-5090	179	13	full	full	ADJ
fis-5090	179	14	agreement	agreement	NOUN
fis-5090	179	15	with	with	ADP
fis-5090	179	16	the	the	DET
fis-5090	179	17	experiment	experiment	NOUN
fis-5090	179	18	.	.	PUNCT
fis-5090	180	1	figure	figure	NOUN
fis-5090	180	2	10	10	NUM
fis-5090	180	3	:	:	PUNCT
fis-5090	180	4	processing	processing	NOUN
fis-5090	180	5	modes	mode	NOUN
fis-5090	180	6	leading	lead	VERB
fis-5090	180	7	to	to	ADP
fis-5090	180	8	maximum	maximum	ADJ
fis-5090	180	9	compressive	compressive	ADJ
fis-5090	180	10	stresses	stress	NOUN
fis-5090	180	11	in	in	ADP
fis-5090	180	12	the	the	DET
fis-5090	180	13	surface	surface	NOUN
fis-5090	180	14	layer	layer	NOUN
fis-5090	180	15	of	of	ADP
fis-5090	180	16	at	at	ADV
fis-5090	180	17	least	least	ADJ
fis-5090	180	18	(	(	PUNCT
fis-5090	180	19	a	a	DET
fis-5090	180	20	,	,	PUNCT
fis-5090	180	21	c	c	NOUN
fis-5090	180	22	)	)	PUNCT
fis-5090	180	23	-300	-300	NUM
fis-5090	180	24	mpa	mpa	NOUN
fis-5090	180	25	and	and	CCONJ
fis-5090	180	26	(	(	PUNCT
fis-5090	180	27	b	b	NOUN
fis-5090	180	28	,	,	PUNCT
fis-5090	180	29	d	d	NOUN
fis-5090	180	30	)	)	PUNCT
fis-5090	180	31	-490	-490	PROPN
fis-5090	180	32	mpa	mpa	NOUN
fis-5090	180	33	and	and	CCONJ
fis-5090	180	34	with	with	ADP
fis-5090	180	35	a	a	DET
fis-5090	180	36	modified	modify	VERB
fis-5090	180	37	layer	layer	NOUN
fis-5090	180	38	depth	depth	NOUN
fis-5090	180	39	of	of	ADP
fis-5090	180	40	at	at	ADV
fis-5090	180	41	least	least	ADJ
fis-5090	180	42	(	(	PUNCT
fis-5090	180	43	a	a	DET
fis-5090	180	44	,	,	PUNCT
fis-5090	180	45	c	c	NOUN
fis-5090	180	46	)	)	PUNCT
fis-5090	180	47	0.5	0.5	NUM
fis-5090	180	48	mm	mm	NOUN
fis-5090	180	49	and	and	CCONJ
fis-5090	180	50	(	(	PUNCT
fis-5090	180	51	b	b	NOUN
fis-5090	180	52	,	,	PUNCT
fis-5090	180	53	d	d	NOUN
fis-5090	180	54	)	)	PUNCT
fis-5090	180	55	0.7	0.7	NUM
fis-5090	180	56	mm	mm	NOUN
fis-5090	180	57	for	for	ADP
fis-5090	180	58	(	(	PUNCT
fis-5090	180	59	a	a	PRON
fis-5090	180	60	,	,	PUNCT
fis-5090	180	61	b	b	NOUN
fis-5090	180	62	)	)	PUNCT
fis-5090	180	63	one	one	NUM
fis-5090	180	64	pass	pass	NOUN
fis-5090	180	65	and	and	CCONJ
fis-5090	180	66	(	(	PUNCT
fis-5090	180	67	c	c	X
fis-5090	180	68	,	,	PUNCT
fis-5090	180	69	d	d	NOUN
fis-5090	180	70	)	)	PUNCT
fis-5090	180	71	two	two	NUM
fis-5090	180	72	passes	pass	NOUN
fis-5090	180	73	.	.	PUNCT
fis-5090	181	1	dark	dark	ADJ
fis-5090	181	2	red	red	ADJ
fis-5090	181	3	squares	square	NOUN
fis-5090	181	4	show	show	VERB
fis-5090	181	5	the	the	DET
fis-5090	181	6	ann	ann	PROPN
fis-5090	181	7	prediction	prediction	NOUN
fis-5090	181	8	,	,	PUNCT
fis-5090	181	9	green	green	ADJ
fis-5090	181	10	rhombuses	rhombus	NOUN
fis-5090	181	11	show	show	VERB
fis-5090	181	12	the	the	DET
fis-5090	181	13	experimentally	experimentally	ADV
fis-5090	181	14	confirmed	confirm	VERB
fis-5090	181	15	modes	mode	NOUN
fis-5090	181	16	.	.	PUNCT
fis-5090	182	1	conclusions	conclusion	NOUN
fis-5090	182	2	he	he	PRON
fis-5090	182	3	study	study	VERB
fis-5090	182	4	of	of	ADP
fis-5090	182	5	the	the	DET
fis-5090	182	6	process	process	NOUN
fis-5090	182	7	of	of	ADP
fis-5090	182	8	laser	laser	NOUN
fis-5090	182	9	shock	shock	NOUN
fis-5090	182	10	peening	peening	NOUN
fis-5090	182	11	of	of	ADP
fis-5090	182	12	samples	sample	NOUN
fis-5090	182	13	manufactured	manufacture	VERB
fis-5090	182	14	from	from	ADP
fis-5090	182	15	titanium	titanium	NOUN
fis-5090	182	16	alloy	alloy	NOUN
fis-5090	182	17	ti-6al-4v	ti-6al-4v	NOUN
fis-5090	182	18	is	be	AUX
fis-5090	182	19	carried	carry	VERB
fis-5090	182	20	out	out	ADP
fis-5090	182	21	in	in	ADP
fis-5090	182	22	this	this	DET
fis-5090	182	23	work	work	NOUN
fis-5090	182	24	.	.	PUNCT
fis-5090	183	1	a	a	DET
fis-5090	183	2	new	new	ADJ
fis-5090	183	3	strategy	strategy	NOUN
fis-5090	183	4	for	for	ADP
fis-5090	183	5	selecting	select	VERB
fis-5090	183	6	the	the	DET
fis-5090	183	7	optimum	optimum	ADJ
fis-5090	183	8	peening	peene	VERB
fis-5090	183	9	parameters	parameter	NOUN
fis-5090	183	10	,	,	PUNCT
fis-5090	183	11	providing	provide	VERB
fis-5090	183	12	the	the	DET
fis-5090	183	13	specified	specified	ADJ
fis-5090	183	14	parameters	parameter	NOUN
fis-5090	183	15	of	of	ADP
fis-5090	183	16	residual	residual	ADJ
fis-5090	183	17	stresses	stress	NOUN
fis-5090	183	18	,	,	PUNCT
fis-5090	183	19	is	be	AUX
fis-5090	183	20	proposed	propose	VERB
fis-5090	183	21	and	and	CCONJ
fis-5090	183	22	realized	realize	VERB
fis-5090	183	23	on	on	ADP
fis-5090	183	24	model	model	NOUN
fis-5090	183	25	specimens	specimen	NOUN
fis-5090	183	26	.	.	PUNCT
fis-5090	184	1	the	the	DET
fis-5090	184	2	strategy	strategy	NOUN
fis-5090	184	3	is	be	AUX
fis-5090	184	4	based	base	VERB
fis-5090	184	5	on	on	ADP
fis-5090	184	6	an	an	DET
fis-5090	184	7	original	original	ADJ
fis-5090	184	8	artificial	artificial	ADJ
fis-5090	184	9	neural	neural	ADJ
fis-5090	184	10	network	network	NOUN
fis-5090	184	11	.	.	PUNCT
fis-5090	185	1	a	a	DET
fis-5090	185	2	laser	laser	NOUN
fis-5090	185	3	shock	shock	NOUN
fis-5090	185	4	peening	peene	VERB
fis-5090	185	5	model	model	NOUN
fis-5090	185	6	is	be	AUX
fis-5090	185	7	implemented	implement	VERB
fis-5090	185	8	and	and	CCONJ
fis-5090	185	9	validated	validate	VERB
fis-5090	185	10	to	to	PART
fis-5090	185	11	minimize	minimize	VERB
fis-5090	185	12	the	the	DET
fis-5090	185	13	number	number	NOUN
fis-5090	185	14	of	of	ADP
fis-5090	185	15	experiments	experiment	NOUN
fis-5090	185	16	required	require	VERB
fis-5090	185	17	to	to	PART
fis-5090	185	18	train	train	VERB
fis-5090	185	19	the	the	DET
fis-5090	185	20	neural	neural	ADJ
fis-5090	185	21	network	network	NOUN
fis-5090	185	22	.	.	PUNCT
fis-5090	186	1	as	as	ADP
fis-5090	186	2	a	a	DET
fis-5090	186	3	result	result	NOUN
fis-5090	186	4	,	,	PUNCT
fis-5090	186	5	the	the	DET
fis-5090	186	6	neural	neural	ADJ
fis-5090	186	7	network	network	NOUN
fis-5090	186	8	was	be	AUX
fis-5090	186	9	trained	train	VERB
fis-5090	186	10	on	on	ADP
fis-5090	186	11	a	a	DET
fis-5090	186	12	synthetic	synthetic	ADJ
fis-5090	186	13	database	database	NOUN
fis-5090	186	14	including	include	VERB
fis-5090	186	15	experimental	experimental	ADJ
fis-5090	186	16	and	and	CCONJ
fis-5090	186	17	numerical	numerical	ADJ
fis-5090	186	18	results	result	NOUN
fis-5090	186	19	.	.	PUNCT
fis-5090	187	1	the	the	DET
fis-5090	187	2	possibility	possibility	NOUN
fis-5090	187	3	of	of	ADP
fis-5090	187	4	adding	add	VERB
fis-5090	187	5	numerical	numerical	ADJ
fis-5090	187	6	experiments	experiment	NOUN
fis-5090	187	7	to	to	ADP
fis-5090	187	8	the	the	DET
fis-5090	187	9	training	training	NOUN
fis-5090	187	10	database	database	NOUN
fis-5090	187	11	allows	allow	VERB
fis-5090	187	12	to	to	PART
fis-5090	187	13	increase	increase	VERB
fis-5090	187	14	its	its	PRON
fis-5090	187	15	size	size	NOUN
fis-5090	187	16	for	for	ADP
fis-5090	187	17	reliable	reliable	ADJ
fis-5090	187	18	training	training	NOUN
fis-5090	187	19	of	of	ADP
fis-5090	187	20	the	the	DET
fis-5090	187	21	neural	neural	ADJ
fis-5090	187	22	network	network	NOUN
fis-5090	187	23	.	.	PUNCT
fis-5090	188	1	in	in	ADP
fis-5090	188	2	this	this	DET
fis-5090	188	3	study	study	NOUN
fis-5090	188	4	,	,	PUNCT
fis-5090	188	5	it	it	PRON
fis-5090	188	6	was	be	AUX
fis-5090	188	7	shown	show	VERB
fis-5090	188	8	that	that	SCONJ
fis-5090	188	9	the	the	DET
fis-5090	188	10	ann	ann	PROPN
fis-5090	188	11	structure	structure	NOUN
fis-5090	188	12	with	with	ADP
fis-5090	188	13	the	the	DET
fis-5090	188	14	number	number	NOUN
fis-5090	188	15	of	of	ADP
fis-5090	188	16	hidden	hide	VERB
fis-5090	188	17	layers	layer	NOUN
fis-5090	188	18	l	l	NOUN
fis-5090	188	19	=	=	SYM
fis-5090	188	20	4	4	NUM
fis-5090	188	21	and	and	CCONJ
fis-5090	188	22	the	the	DET
fis-5090	188	23	number	number	NOUN
fis-5090	188	24	of	of	ADP
fis-5090	188	25	neurons	neuron	NOUN
fis-5090	188	26	n=10	n=10	PRON
fis-5090	188	27	when	when	SCONJ
fis-5090	188	28	using	use	VERB
fis-5090	188	29	hidden	hidden	ADJ
fis-5090	188	30	sine	sine	ADJ
fis-5090	188	31	layers	layer	NOUN
fis-5090	188	32	as	as	SCONJ
fis-5090	188	33	the	the	DET
fis-5090	188	34	transfer	transfer	NOUN
fis-5090	188	35	function	function	NOUN
fis-5090	188	36	shows	show	VERB
fis-5090	188	37	the	the	DET
fis-5090	188	38	best	good	ADJ
fis-5090	188	39	accuracy	accuracy	NOUN
fis-5090	188	40	for	for	ADP
fis-5090	188	41	the	the	DET
fis-5090	188	42	problem	problem	NOUN
fis-5090	188	43	at	at	ADP
fis-5090	188	44	hand	hand	NOUN
fis-5090	188	45	.	.	PUNCT
fis-5090	189	1	the	the	DET
fis-5090	189	2	developed	develop	VERB
fis-5090	189	3	artificial	artificial	ADJ
fis-5090	189	4	neural	neural	ADJ
fis-5090	189	5	network	network	NOUN
fis-5090	189	6	can	can	AUX
fis-5090	189	7	be	be	AUX
fis-5090	189	8	used	use	VERB
fis-5090	189	9	to	to	PART
fis-5090	189	10	interpolate	interpolate	VERB
fis-5090	189	11	the	the	DET
fis-5090	189	12	dependence	dependence	NOUN
fis-5090	189	13	between	between	ADP
fis-5090	189	14	training	training	NOUN
fis-5090	189	15	points	point	NOUN
fis-5090	189	16	,	,	PUNCT
fis-5090	189	17	as	as	ADV
fis-5090	189	18	well	well	ADV
fis-5090	189	19	as	as	ADP
fis-5090	189	20	to	to	PART
fis-5090	189	21	search	search	VERB
fis-5090	189	22	for	for	ADP
fis-5090	189	23	optimal	optimal	ADJ
fis-5090	189	24	parameters	parameter	NOUN
fis-5090	189	25	or	or	CCONJ
fis-5090	189	26	acceptable	acceptable	ADJ
fis-5090	189	27	ranges	range	NOUN
fis-5090	189	28	of	of	ADP
fis-5090	189	29	parameters	parameter	NOUN
fis-5090	189	30	of	of	ADP
fis-5090	189	31	the	the	DET
fis-5090	189	32	processing	processing	NOUN
fis-5090	189	33	process	process	NOUN
fis-5090	189	34	.	.	PUNCT
fis-5090	190	1	the	the	DET
fis-5090	190	2	resulting	result	VERB
fis-5090	190	3	model	model	NOUN
fis-5090	190	4	lets	let	VERB
fis-5090	190	5	us	we	PRON
fis-5090	190	6	effectively	effectively	ADV
fis-5090	190	7	select	select	VERB
fis-5090	190	8	the	the	DET
fis-5090	190	9	needed	need	VERB
fis-5090	190	10	parameters	parameter	NOUN
fis-5090	190	11	of	of	ADP
fis-5090	190	12	laser	laser	NOUN
fis-5090	190	13	exposure	exposure	NOUN
fis-5090	190	14	according	accord	VERB
fis-5090	190	15	to	to	ADP
fis-5090	190	16	the	the	DET
fis-5090	190	17	given	give	VERB
fis-5090	190	18	limitations	limitation	NOUN
fis-5090	190	19	of	of	ADP
fis-5090	190	20	values	value	NOUN
fis-5090	190	21	and	and	CCONJ
fis-5090	190	22	depth	depth	NOUN
fis-5090	190	23	of	of	ADP
fis-5090	190	24	residual	residual	ADJ
fis-5090	190	25	stresses	stress	NOUN
fis-5090	190	26	.	.	PUNCT
fis-5090	191	1	for	for	ADP
fis-5090	191	2	selection	selection	NOUN
fis-5090	191	3	of	of	ADP
fis-5090	191	4	irradiation	irradiation	NOUN
fis-5090	191	5	parameters	parameter	NOUN
fis-5090	191	6	for	for	ADP
fis-5090	191	7	details	detail	NOUN
fis-5090	191	8	of	of	ADP
fis-5090	191	9	an	an	DET
fis-5090	191	10	arbitrary	arbitrary	ADJ
fis-5090	191	11	geometry	geometry	NOUN
fis-5090	191	12	,	,	PUNCT
fis-5090	191	13	it	it	PRON
fis-5090	191	14	is	be	AUX
fis-5090	191	15	possible	possible	ADJ
fis-5090	191	16	to	to	PART
fis-5090	191	17	do	do	VERB
fis-5090	191	18	with	with	ADP
fis-5090	191	19	a	a	DET
fis-5090	191	20	minimum	minimum	ADJ
fis-5090	191	21	set	set	NOUN
fis-5090	191	22	of	of	ADP
fis-5090	191	23	experiments	experiment	NOUN
fis-5090	191	24	for	for	ADP
fis-5090	191	25	verification	verification	NOUN
fis-5090	191	26	of	of	ADP
fis-5090	191	27	results	result	NOUN
fis-5090	191	28	of	of	ADP
fis-5090	191	29	calculation	calculation	NOUN
fis-5090	191	30	of	of	ADP
fis-5090	191	31	the	the	DET
fis-5090	191	32	mathematical	mathematical	ADJ
fis-5090	191	33	model	model	NOUN
fis-5090	191	34	on	on	ADP
fis-5090	191	35	a	a	DET
fis-5090	191	36	new	new	ADJ
fis-5090	191	37	geometry	geometry	NOUN
fis-5090	191	38	and	and	CCONJ
fis-5090	191	39	to	to	PART
fis-5090	191	40	do	do	VERB
fis-5090	191	41	a	a	DET
fis-5090	191	42	new	new	ADJ
fis-5090	191	43	database	database	NOUN
fis-5090	191	44	for	for	ADP
fis-5090	191	45	training	training	NOUN
fis-5090	191	46	.	.	PUNCT
fis-5090	192	1	t	t	PROPN
fis-5090	192	2	m.verezhak	m.verezhak	VERB
fis-5090	192	3	et	et	PROPN
fis-5090	192	4	alii	alii	PROPN
fis-5090	192	5	,	,	PUNCT
fis-5090	192	6	frattura	frattura	PROPN
fis-5090	192	7	ed	ed	PROPN
fis-5090	192	8	integrità	integrità	PROPN
fis-5090	192	9	strutturale	strutturale	PROPN
fis-5090	192	10	,	,	PUNCT
fis-5090	192	11	70	70	NUM
fis-5090	192	12	(	(	PUNCT
fis-5090	192	13	2024	2024	NUM
fis-5090	192	14	)	)	PUNCT
fis-5090	192	15	121	121	NUM
fis-5090	192	16	-	-	SYM
fis-5090	192	17	132	132	NUM
fis-5090	192	18	;	;	PUNCT
fis-5090	192	19	doi	doi	NOUN
fis-5090	192	20	:	:	PUNCT
fis-5090	192	21	10.3221	10.3221	NUM
fis-5090	192	22	/	/	SYM
fis-5090	192	23	igf	igf	NOUN
fis-5090	192	24	-	-	ADJ
fis-5090	192	25	esis.70.07	esis.70.07	ADJ
fis-5090	192	26	131	131	NUM
fis-5090	192	27	acknowledgments	acknowledgment	NOUN
fis-5090	192	28	he	he	PRON
fis-5090	192	29	reported	report	VERB
fis-5090	192	30	study	study	NOUN
fis-5090	192	31	was	be	AUX
fis-5090	192	32	supported	support	VERB
fis-5090	192	33	by	by	ADP
fis-5090	192	34	the	the	DET
fis-5090	192	35	government	government	NOUN
fis-5090	192	36	of	of	ADP
fis-5090	192	37	perm	perm	NOUN
fis-5090	192	38	krai	krai	NOUN
fis-5090	192	39	,	,	PUNCT
fis-5090	192	40	research	research	NOUN
fis-5090	192	41	project	project	NOUN
fis-5090	192	42	no	no	INTJ
fis-5090	192	43	.	.	PUNCT
fis-5090	193	1	c-26/829	c-26/829	PROPN
fis-5090	193	2	.	.	PUNCT
fis-5090	194	1	lsp	lsp	PROPN
fis-5090	194	2	treatment	treatment	NOUN
fis-5090	194	3	was	be	AUX
fis-5090	194	4	carried	carry	VERB
fis-5090	194	5	out	out	ADP
fis-5090	194	6	under	under	ADP
fis-5090	194	7	financial	financial	ADJ
fis-5090	194	8	support	support	NOUN
fis-5090	194	9	from	from	ADP
fis-5090	194	10	the	the	DET
fis-5090	194	11	programs	program	NOUN
fis-5090	194	12	for	for	ADP
fis-5090	194	13	the	the	DET
fis-5090	194	14	creation	creation	NOUN
fis-5090	194	15	and	and	CCONJ
fis-5090	194	16	development	development	NOUN
fis-5090	194	17	of	of	ADP
fis-5090	194	18	the	the	DET
fis-5090	194	19	world	world	NOUN
fis-5090	194	20	-	-	PUNCT
fis-5090	194	21	class	class	NOUN
fis-5090	194	22	scientific	scientific	ADJ
fis-5090	194	23	center	center	NOUN
fis-5090	194	24	“	"	PUNCT
fis-5090	194	25	supersound	supersound	ADV
fis-5090	194	26	”	"	PUNCT
fis-5090	194	27	for	for	ADP
fis-5090	194	28	2020–2025	2020–2025	NUM
fis-5090	194	29	with	with	ADP
fis-5090	194	30	the	the	DET
fis-5090	194	31	financial	financial	ADJ
fis-5090	194	32	support	support	NOUN
fis-5090	194	33	of	of	ADP
fis-5090	194	34	the	the	DET
fis-5090	194	35	ministry	ministry	PROPN
fis-5090	194	36	of	of	ADP
fis-5090	194	37	education	education	PROPN
fis-5090	194	38	and	and	CCONJ
fis-5090	194	39	science	science	NOUN
fis-5090	194	40	of	of	ADP
fis-5090	194	41	russia	russia	PROPN
fis-5090	194	42	(	(	PUNCT
fis-5090	194	43	agreement	agreement	NOUN
fis-5090	194	44	no	no	INTJ
fis-5090	194	45	.	.	PUNCT
fis-5090	194	46	075	075	NUM
fis-5090	194	47	-	-	PUNCT
fis-5090	194	48	15	15	NUM
fis-5090	194	49	-	-	PUNCT
fis-5090	194	50	2022	2022	NUM
fis-5090	194	51	-	-	SYM
fis-5090	194	52	329	329	NUM
fis-5090	194	53	dated	date	VERB
fis-5090	194	54	april	april	PROPN
fis-5090	194	55	21	21	NUM
fis-5090	194	56	,	,	PUNCT
fis-5090	194	57	2022	2022	NUM
fis-5090	194	58	)	)	PUNCT
fis-5090	194	59	.	.	PUNCT
fis-5090	195	1	references	reference	NOUN
fis-5090	195	2	[	[	X
fis-5090	195	3	1	1	NUM
fis-5090	195	4	]	]	SYM
fis-5090	195	5	wu	wu	PROPN
fis-5090	195	6	,	,	PUNCT
fis-5090	195	7	j.	j.	PROPN
fis-5090	195	8	,	,	PUNCT
fis-5090	195	9	zhao	zhao	PROPN
fis-5090	195	10	,	,	PUNCT
fis-5090	195	11	j.	j.	PROPN
fis-5090	195	12	,	,	PUNCT
fis-5090	195	13	qiao	qiao	PROPN
fis-5090	195	14	,	,	PUNCT
fis-5090	195	15	h.	h.	PROPN
fis-5090	195	16	,	,	PUNCT
fis-5090	195	17	liu	liu	PROPN
fis-5090	195	18	,	,	PUNCT
fis-5090	195	19	x.	x.	PROPN
fis-5090	195	20	,	,	PUNCT
fis-5090	195	21	zhang	zhang	PROPN
fis-5090	195	22	,	,	PUNCT
fis-5090	195	23	y.	y.	PROPN
fis-5090	195	24	and	and	CCONJ
fis-5090	195	25	hu	hu	PROPN
fis-5090	195	26	,	,	PUNCT
fis-5090	195	27	t.	t.	PROPN
fis-5090	195	28	(	(	PUNCT
fis-5090	195	29	2018	2018	NUM
fis-5090	195	30	)	)	PUNCT
fis-5090	195	31	acoustic	acoustic	ADJ
fis-5090	195	32	wave	wave	NOUN
fis-5090	195	33	detection	detection	NOUN
fis-5090	195	34	of	of	ADP
fis-5090	195	35	laser	laser	NOUN
fis-5090	195	36	shock	shock	NOUN
fis-5090	195	37	peening	peening	NOUN
fis-5090	195	38	,	,	PUNCT
fis-5090	195	39	optoelectronic	optoelectronic	ADJ
fis-5090	195	40	advances	advance	NOUN
fis-5090	195	41	,	,	PUNCT
fis-5090	195	42	1(9	1(9	NUM
fis-5090	195	43	)	)	PUNCT
fis-5090	195	44	,	,	PUNCT
fis-5090	195	45	pp	pp	ADP
fis-5090	195	46	.	.	PUNCT
fis-5090	196	1	1–5	1–5	X
fis-5090	196	2	.	.	PUNCT
fis-5090	196	3	doi	doi	NOUN
fis-5090	196	4	:	:	PUNCT
fis-5090	196	5	10.29026	10.29026	NUM
fis-5090	196	6	/	/	SYM
fis-5090	196	7	oea.2018.180016	oea.2018.180016	NUM
fis-5090	196	8	.	.	PUNCT
fis-5090	197	1	[	[	X
fis-5090	197	2	2	2	NUM
fis-5090	197	3	]	]	SYM
fis-5090	197	4	wu	wu	PROPN
fis-5090	197	5	,	,	PUNCT
fis-5090	197	6	j.	j.	PROPN
fis-5090	197	7	,	,	PUNCT
fis-5090	197	8	zhao	zhao	PROPN
fis-5090	197	9	,	,	PUNCT
fis-5090	197	10	j.	j.	PROPN
fis-5090	197	11	,	,	PUNCT
fis-5090	197	12	qiao.h	qiao.h	PROPN
fis-5090	197	13	,	,	PUNCT
fis-5090	197	14	hu	hu	PROPN
fis-5090	197	15	,	,	PUNCT
fis-5090	197	16	x.	x.	PROPN
fis-5090	197	17	and	and	CCONJ
fis-5090	197	18	yang	yang	PROPN
fis-5090	197	19	,	,	PUNCT
fis-5090	197	20	y.	y.	PROPN
fis-5090	197	21	(	(	PUNCT
fis-5090	197	22	2020	2020	NUM
fis-5090	197	23	)	)	PUNCT
fis-5090	197	24	the	the	DET
fis-5090	197	25	new	new	ADJ
fis-5090	197	26	technologies	technology	NOUN
fis-5090	197	27	developed	develop	VERB
fis-5090	197	28	from	from	ADP
fis-5090	197	29	laser	laser	NOUN
fis-5090	197	30	shock	shock	NOUN
fis-5090	197	31	processing	processing	NOUN
fis-5090	197	32	,	,	PUNCT
fis-5090	197	33	materials	material	NOUN
fis-5090	197	34	,	,	PUNCT
fis-5090	197	35	13(6	13(6	NUM
fis-5090	197	36	)	)	PUNCT
fis-5090	197	37	.	.	PUNCT
fis-5090	198	1	doi	doi	NOUN
fis-5090	198	2	:	:	PUNCT
fis-5090	198	3	10.3390	10.3390	NUM
fis-5090	198	4	/	/	SYM
fis-5090	198	5	ma13061453	ma13061453	NOUN
fis-5090	198	6	.	.	PUNCT
fis-5090	199	1	[	[	X
fis-5090	199	2	3	3	NUM
fis-5090	199	3	]	]	X
fis-5090	199	4	tang	tang	PROPN
fis-5090	199	5	,	,	PUNCT
fis-5090	199	6	l.	l.	PROPN
fis-5090	199	7	,	,	PUNCT
fis-5090	199	8	jia	jia	PROPN
fis-5090	199	9	,	,	PUNCT
fis-5090	199	10	w.	w.	PROPN
fis-5090	199	11	and	and	CCONJ
fis-5090	199	12	hu	hu	PROPN
fis-5090	199	13	,	,	PUNCT
fis-5090	199	14	j.	j.	PROPN
fis-5090	199	15	(	(	PUNCT
fis-5090	199	16	2018	2018	NUM
fis-5090	199	17	)	)	PUNCT
fis-5090	199	18	an	an	DET
fis-5090	199	19	enhanced	enhance	VERB
fis-5090	199	20	rapid	rapid	ADJ
fis-5090	199	21	plasma	plasma	NOUN
fis-5090	199	22	nitriding	nitride	VERB
fis-5090	199	23	by	by	ADP
fis-5090	199	24	laser	laser	NOUN
fis-5090	199	25	shock	shock	NOUN
fis-5090	199	26	peening	peening	NOUN
fis-5090	199	27	,	,	PUNCT
fis-5090	199	28	materials	material	NOUN
fis-5090	199	29	letters	letter	NOUN
fis-5090	199	30	,	,	PUNCT
fis-5090	199	31	231	231	NUM
fis-5090	199	32	,	,	PUNCT
fis-5090	199	33	pp	pp	ADJ
fis-5090	199	34	.	.	PUNCT
fis-5090	200	1	91–93	91–93	NUM
fis-5090	200	2	.	.	PUNCT
fis-5090	201	1	doi	doi	PROPN
fis-5090	201	2	:	:	PUNCT
fis-5090	201	3	10.1016	10.1016	NUM
fis-5090	201	4	/	/	SYM
fis-5090	201	5	j.matlet.2018.08.010	j.matlet.2018.08.010	NOUN
fis-5090	201	6	.	.	PUNCT
fis-5090	202	1	[	[	X
fis-5090	202	2	4	4	NUM
fis-5090	202	3	]	]	X
fis-5090	202	4	guo	guo	PROPN
fis-5090	202	5	,	,	PUNCT
fis-5090	202	6	w.	w.	PROPN
fis-5090	202	7	,	,	PUNCT
fis-5090	202	8	sun	sun	PROPN
fis-5090	202	9	,	,	PUNCT
fis-5090	202	10	r.	r.	PROPN
fis-5090	202	11	,	,	PUNCT
fis-5090	202	12	song	song	PROPN
fis-5090	202	13	,	,	PUNCT
fis-5090	202	14	b.	b.	PROPN
fis-5090	202	15	,	,	PUNCT
fis-5090	202	16	zhu	zhu	PROPN
fis-5090	202	17	,	,	PUNCT
fis-5090	202	18	y.	y.	PROPN
fis-5090	202	19	,	,	PUNCT
fis-5090	202	20	li	li	PROPN
fis-5090	202	21	,	,	PUNCT
fis-5090	202	22	f.	f.	PROPN
fis-5090	202	23	,	,	PUNCT
fis-5090	202	24	che	che	PROPN
fis-5090	202	25	,	,	PUNCT
fis-5090	202	26	z.	z.	PROPN
fis-5090	202	27	,	,	PUNCT
fis-5090	202	28	li	li	PROPN
fis-5090	202	29	,	,	PUNCT
fis-5090	202	30	b.	b.	PROPN
fis-5090	202	31	,	,	PUNCT
fis-5090	202	32	guo	guo	PROPN
fis-5090	202	33	,	,	PUNCT
fis-5090	202	34	c.	c.	PROPN
fis-5090	202	35	,	,	PUNCT
fis-5090	202	36	liu	liu	PROPN
fis-5090	202	37	,	,	PUNCT
fis-5090	202	38	l.	l.	PROPN
fis-5090	202	39	and	and	CCONJ
fis-5090	202	40	peng	peng	PROPN
fis-5090	202	41	,	,	PUNCT
fis-5090	202	42	p.	p.	PROPN
fis-5090	202	43	(	(	PUNCT
fis-5090	202	44	2018	2018	NUM
fis-5090	202	45	)	)	PUNCT
fis-5090	202	46	laser	laser	NOUN
fis-5090	202	47	shock	shock	NOUN
fis-5090	202	48	peening	peening	NOUN
fis-5090	202	49	of	of	ADP
fis-5090	202	50	laser	laser	NOUN
fis-5090	202	51	additive	additive	NOUN
fis-5090	202	52	manufactured	manufacture	VERB
fis-5090	202	53	ti6al4v	ti6al4v	X
fis-5090	202	54	titanium	titanium	NOUN
fis-5090	202	55	alloy	alloy	NOUN
fis-5090	202	56	,	,	PUNCT
fis-5090	202	57	surface	surface	NOUN
fis-5090	202	58	and	and	CCONJ
fis-5090	202	59	coatings	coating	NOUN
fis-5090	202	60	technology	technology	NOUN
fis-5090	202	61	,	,	PUNCT
fis-5090	202	62	349	349	NUM
fis-5090	202	63	,	,	PUNCT
fis-5090	202	64	pp	pp	ADJ
fis-5090	202	65	.	.	PUNCT
fis-5090	203	1	503–510	503–510	NUM
fis-5090	203	2	.	.	PUNCT
fis-5090	204	1	doi	doi	NOUN
fis-5090	204	2	:	:	PUNCT
fis-5090	204	3	10.1016	10.1016	NUM
fis-5090	204	4	/	/	SYM
fis-5090	204	5	j.surfcoat.2018.06.020	j.surfcoat.2018.06.020	VERB
fis-5090	204	6	.	.	PUNCT
fis-5090	205	1	[	[	X
fis-5090	205	2	5	5	NUM
fis-5090	205	3	]	]	X
fis-5090	205	4	warren	warren	PROPN
fis-5090	205	5	,	,	PUNCT
fis-5090	205	6	a.w	a.w	PROPN
fis-5090	205	7	.	.	PROPN
fis-5090	205	8	,	,	PUNCT
fis-5090	205	9	guo	guo	PROPN
fis-5090	205	10	,	,	PUNCT
fis-5090	205	11	y.b	y.b	PROPN
fis-5090	205	12	.	.	PROPN
fis-5090	205	13	and	and	CCONJ
fis-5090	205	14	chen	chen	PROPN
fis-5090	205	15	,	,	PUNCT
fis-5090	205	16	s.c	s.c	PROPN
fis-5090	205	17	.	.	PROPN
fis-5090	205	18	(	(	PUNCT
fis-5090	205	19	2008	2008	NUM
fis-5090	205	20	)	)	PUNCT
fis-5090	205	21	massive	massive	ADJ
fis-5090	205	22	parallel	parallel	ADJ
fis-5090	205	23	laser	laser	NOUN
fis-5090	205	24	shock	shock	NOUN
fis-5090	205	25	peening	peening	NOUN
fis-5090	205	26	:	:	PUNCT
fis-5090	205	27	simulation	simulation	NOUN
fis-5090	205	28	,	,	PUNCT
fis-5090	205	29	analysis	analysis	NOUN
fis-5090	205	30	,	,	PUNCT
fis-5090	205	31	and	and	CCONJ
fis-5090	205	32	validation	validation	NOUN
fis-5090	205	33	,	,	PUNCT
fis-5090	205	34	international	international	ADJ
fis-5090	205	35	journal	journal	NOUN
fis-5090	205	36	of	of	ADP
fis-5090	205	37	fatigue	fatigue	NOUN
fis-5090	205	38	,	,	PUNCT
fis-5090	205	39	30(1	30(1	NUM
fis-5090	205	40	)	)	PUNCT
fis-5090	205	41	,	,	PUNCT
fis-5090	205	42	pp	pp	ADP
fis-5090	205	43	.	.	PUNCT
fis-5090	206	1	188–197	188–197	NUM
fis-5090	206	2	.	.	PUNCT
fis-5090	207	1	doi	doi	NOUN
fis-5090	207	2	:	:	PUNCT
fis-5090	207	3	10.1016	10.1016	NUM
fis-5090	207	4	/	/	SYM
fis-5090	207	5	j.ijfatigue.2007.01.033	j.ijfatigue.2007.01.033	PROPN
fis-5090	207	6	.	.	PUNCT
fis-5090	208	1	[	[	X
fis-5090	208	2	6	6	NUM
fis-5090	208	3	]	]	PUNCT
fis-5090	208	4	coratella	coratella	NOUN
fis-5090	208	5	,	,	PUNCT
fis-5090	208	6	s.	s.	PROPN
fis-5090	208	7	,	,	PUNCT
fis-5090	208	8	sticchi	sticchi	NOUN
fis-5090	208	9	,	,	PUNCT
fis-5090	208	10	m.	m.	NOUN
fis-5090	208	11	,	,	PUNCT
fis-5090	208	12	toparli	toparli	NOUN
fis-5090	208	13	,	,	PUNCT
fis-5090	208	14	m.	m.	NOUN
fis-5090	208	15	,	,	PUNCT
fis-5090	208	16	fitzpatrick	fitzpatrick	PROPN
fis-5090	208	17	,	,	PUNCT
fis-5090	208	18	m.	m.	NOUN
fis-5090	208	19	,	,	PUNCT
fis-5090	208	20	kashaev	kashaev	PROPN
fis-5090	208	21	,	,	PUNCT
fis-5090	208	22	n.	n.	PROPN
fis-5090	208	23	(	(	PUNCT
fis-5090	208	24	2015	2015	NUM
fis-5090	208	25	)	)	PUNCT
fis-5090	208	26	application	application	NOUN
fis-5090	208	27	of	of	ADP
fis-5090	208	28	the	the	DET
fis-5090	208	29	eigenstrain	eigenstrain	NOUN
fis-5090	208	30	approach	approach	NOUN
fis-5090	208	31	to	to	PART
fis-5090	208	32	predict	predict	VERB
fis-5090	208	33	the	the	DET
fis-5090	208	34	residual	residual	ADJ
fis-5090	208	35	stress	stress	NOUN
fis-5090	208	36	distribution	distribution	NOUN
fis-5090	208	37	in	in	ADP
fis-5090	208	38	laser	laser	NOUN
fis-5090	208	39	shock	shock	NOUN
fis-5090	208	40	peened	peene	VERB
fis-5090	208	41	aa7050	aa7050	PROPN
fis-5090	208	42	-	-	PUNCT
fis-5090	208	43	t7451	t7451	PROPN
fis-5090	208	44	samples	sample	NOUN
fis-5090	208	45	,	,	PUNCT
fis-5090	208	46	surface	surface	NOUN
fis-5090	208	47	and	and	CCONJ
fis-5090	208	48	coatings	coating	NOUN
fis-5090	208	49	technology	technology	NOUN
fis-5090	208	50	,	,	PUNCT
fis-5090	208	51	273(1	273(1	NUM
fis-5090	208	52	)	)	PUNCT
fis-5090	208	53	,	,	PUNCT
fis-5090	208	54	pp	pp	PROPN
fis-5090	208	55	.	.	PUNCT
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fis-5090	209	2	.	.	PUNCT
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fis-5090	211	40	)	)	PUNCT
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fis-5090	211	43	.	.	PUNCT
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fis-5090	212	2	.	.	PUNCT
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fis-5090	214	36	,	,	PUNCT
fis-5090	214	37	22(10	22(10	NUM
fis-5090	214	38	)	)	PUNCT
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fis-5090	214	41	.	.	PUNCT
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fis-5090	214	43	.	.	PUNCT
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fis-5090	214	45	/	/	SYM
fis-5090	214	46	s11665	s11665	NUM
fis-5090	214	47	-	-	PUNCT
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fis-5090	215	3	]	]	SYM
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fis-5090	215	33	nickel	nickel	NOUN
fis-5090	215	34	-	-	PUNCT
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fis-5090	215	45	,	,	PUNCT
fis-5090	215	46	25	25	NUM
fis-5090	215	47	.	.	PUNCT
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fis-5090	215	51	/	/	SYM
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fis-5090	215	53	.	.	PUNCT
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fis-5090	216	33	modeling	modeling	NOUN
fis-5090	216	34	,	,	PUNCT
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fis-5090	216	39	,	,	PUNCT
fis-5090	216	40	27(2	27(2	NUM
fis-5090	216	41	)	)	PUNCT
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fis-5090	216	44	.	.	PUNCT
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fis-5090	217	2	.	.	PUNCT
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fis-5090	217	4	/	/	SYM
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fis-5090	217	12	.	.	PUNCT
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fis-5090	218	2	11	11	NUM
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fis-5090	218	6	r.	r.	PROPN
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fis-5090	218	10	r.	r.	PROPN
fis-5090	218	11	and	and	CCONJ
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fis-5090	218	14	s.	s.	PROPN
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fis-5090	218	17	)	)	PUNCT
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fis-5090	218	29	)	)	PUNCT
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fis-5090	218	36	)	)	PUNCT
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fis-5090	218	41	process	process	NOUN
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fis-5090	218	44	neural	neural	ADJ
fis-5090	218	45	network	network	NOUN
fis-5090	218	46	model	model	NOUN
fis-5090	218	47	and	and	CCONJ
fis-5090	218	48	statistical	statistical	ADJ
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fis-5090	218	55	.	.	PUNCT
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fis-5090	220	2	.	.	PUNCT
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fis-5090	221	2	:	:	PUNCT
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fis-5090	221	6	.	.	PUNCT
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fis-5090	225	9	.	.	PUNCT
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fis-5090	228	2	/	/	SYM
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fis-5090	228	4	.	.	PUNCT
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fis-5090	229	33	by	by	ADP
fis-5090	229	34	applying	apply	VERB
fis-5090	229	35	ultrasonic	ultrasonic	ADJ
fis-5090	229	36	impact	impact	NOUN
fis-5090	229	37	peening	peening	NOUN
fis-5090	229	38	,	,	PUNCT
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fis-5090	229	45	,	,	PUNCT
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fis-5090	229	47	,	,	PUNCT
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fis-5090	229	49	.	.	PUNCT
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fis-5090	230	2	.	.	PUNCT
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fis-5090	231	4	.	.	PUNCT
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fis-5090	232	3	]	]	X
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fis-5090	232	5	,	,	PUNCT
fis-5090	232	6	y.	y.	PROPN
fis-5090	232	7	,	,	PUNCT
fis-5090	232	8	hu	hu	PROPN
fis-5090	232	9	,	,	PUNCT
fis-5090	232	10	s.	s.	PROPN
fis-5090	232	11	,	,	PUNCT
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fis-5090	232	13	,	,	PUNCT
fis-5090	232	14	d.	d.	PROPN
fis-5090	232	15	and	and	CCONJ
fis-5090	232	16	cui	cui	PROPN
fis-5090	232	17	,	,	PUNCT
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fis-5090	232	21	)	)	PUNCT
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fis-5090	232	28	effect	effect	NOUN
fis-5090	232	29	on	on	ADP
fis-5090	232	30	fatigue	fatigue	NOUN
fis-5090	232	31	properties	property	NOUN
fis-5090	232	32	of	of	ADP
fis-5090	232	33	ultrasonic	ultrasonic	ADJ
fis-5090	232	34	peening	peening	NOUN
fis-5090	232	35	treatment	treatment	NOUN
fis-5090	232	36	355	355	NUM
fis-5090	232	37	steel	steel	NOUN
fis-5090	232	38	,	,	PUNCT
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fis-5090	232	40	and	and	CCONJ
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fis-5090	232	42	,	,	PUNCT
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fis-5090	232	44	,	,	PUNCT
fis-5090	232	45	pp	pp	ADJ
fis-5090	232	46	.	.	PUNCT
fis-5090	233	1	507–515	507–515	NUM
fis-5090	233	2	.	.	PUNCT
fis-5090	234	1	doi	doi	NOUN
fis-5090	234	2	:	:	PUNCT
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fis-5090	235	3	]	]	X
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fis-5090	235	5	,	,	PUNCT
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fis-5090	235	7	,	,	PUNCT
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fis-5090	235	9	,	,	PUNCT
fis-5090	235	10	a.	a.	PROPN
fis-5090	235	11	,	,	PUNCT
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fis-5090	235	13	,	,	PUNCT
fis-5090	235	14	a.	a.	PROPN
fis-5090	235	15	,	,	PUNCT
fis-5090	235	16	vshivkov	vshivkov	PROPN
fis-5090	235	17	,	,	PUNCT
fis-5090	235	18	a.	a.	PROPN
fis-5090	235	19	,	,	PUNCT
fis-5090	235	20	gachegova	gachegova	PROPN
fis-5090	235	21	,	,	PUNCT
fis-5090	235	22	e.	e.	PROPN
fis-5090	235	23	,	,	PUNCT
fis-5090	235	24	swaroop	swaroop	PROPN
fis-5090	235	25	,	,	PUNCT
fis-5090	235	26	s.	s.	PROPN
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fis-5090	235	28	plekhov	plekhov	PROPN
fis-5090	235	29	o.	o.	PROPN
fis-5090	235	30	(	(	PUNCT
fis-5090	235	31	2023	2023	NUM
fis-5090	235	32	)	)	PUNCT
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fis-5090	235	34	life	life	NOUN
fis-5090	235	35	investigation	investigation	NOUN
fis-5090	235	36	of	of	ADP
fis-5090	235	37	notched	notch	VERB
fis-5090	235	38	tc4	tc4	PROPN
fis-5090	235	39	specimens	specimen	NOUN
fis-5090	235	40	subjected	subject	VERB
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fis-5090	235	46	shock	shock	NOUN
fis-5090	235	47	peening	peening	NOUN
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fis-5090	235	54	17(65	17(65	NUM
fis-5090	235	55	)	)	PUNCT
fis-5090	235	56	,	,	PUNCT
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fis-5090	235	58	.	.	PUNCT
fis-5090	236	1	100–111	100–111	NUM
fis-5090	236	2	.	.	PUNCT
fis-5090	237	1	doi	doi	NOUN
fis-5090	237	2	:	:	PUNCT
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fis-5090	237	8	.	.	PUNCT
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fis-5090	238	3	et	et	PROPN
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fis-5090	238	5	,	,	PUNCT
fis-5090	238	6	frattura	frattura	PROPN
fis-5090	238	7	ed	ed	PROPN
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fis-5090	238	9	strutturale	strutturale	PROPN
fis-5090	238	10	,	,	PUNCT
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fis-5090	238	16	-	-	SYM
fis-5090	238	17	132	132	NUM
fis-5090	238	18	;	;	PUNCT
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fis-5090	238	25	esis.70.07	esis.70.07	ADJ
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fis-5090	238	32	a.	a.	PROPN
fis-5090	238	33	,	,	PUNCT
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fis-5090	238	35	,	,	PUNCT
fis-5090	238	36	a.	a.	PROPN
fis-5090	238	37	,	,	PUNCT
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fis-5090	238	39	,	,	PUNCT
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fis-5090	238	43	o.	o.	PROPN
fis-5090	238	44	(	(	PUNCT
fis-5090	238	45	2024	2024	NUM
fis-5090	238	46	)	)	PUNCT
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fis-5090	238	48	and	and	CCONJ
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fis-5090	238	57	shock	shock	NOUN
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fis-5090	238	62	journal	journal	PROPN
fis-5090	238	63	,	,	PUNCT
fis-5090	238	64	67(3	67(3	NUM
fis-5090	238	65	)	)	PUNCT
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fis-5090	239	2	-	-	SYM
fis-5090	239	3	295	295	NUM
fis-5090	239	4	.	.	PUNCT
fis-5090	240	1	doi	doi	NOUN
fis-5090	240	2	:	:	PUNCT
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fis-5090	240	4	/	/	SYM
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fis-5090	240	10	-	-	SYM
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fis-5090	241	44	a	a	DET
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fis-5090	241	46	blade	blade	NOUN
fis-5090	241	47	,	,	PUNCT
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fis-5090	241	54	)	)	PUNCT
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fis-5090	242	2	.	.	PUNCT
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fis-5090	245	7	)	)	PUNCT
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fis-5090	246	4	.	.	PUNCT
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fis-5090	247	4	-	-	SYM
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fis-5090	250	11	nolan	nolan	PROPN
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fis-5090	250	13	d.	d.	PROPN
fis-5090	250	14	,	,	PUNCT
fis-5090	250	15	carpenter	carpenter	PROPN
fis-5090	250	16	,	,	PUNCT
fis-5090	250	17	k.	k.	PROPN
fis-5090	250	18	,	,	PUNCT
fis-5090	250	19	dunne	dunne	PROPN
fis-5090	250	20	,	,	PUNCT
fis-5090	250	21	d.	d.	PROPN
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fis-5090	250	23	norrish	norrish	ADJ
fis-5090	250	24	,	,	PUNCT
fis-5090	250	25	j.	j.	PROPN
fis-5090	250	26	(	(	PUNCT
fis-5090	250	27	2005	2005	NUM
fis-5090	250	28	)	)	PUNCT
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fis-5090	250	37	of	of	ADP
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fis-5090	250	39	in	in	ADP
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fis-5090	250	41	applications	application	NOUN
fis-5090	250	42	,	,	PUNCT
fis-5090	250	43	journal	journal	NOUN
fis-5090	250	44	of	of	ADP
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fis-5090	250	48	,	,	PUNCT
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fis-5090	250	50	)	)	PUNCT
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fis-5090	251	4	.	.	PUNCT
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fis-5090	251	10	.	.	PUNCT
fis-5090	252	1	[	[	X
fis-5090	252	2	22	22	NUM
fis-5090	252	3	]	]	X
fis-5090	252	4	keller	keller	PROPN
fis-5090	252	5	,	,	PUNCT
fis-5090	252	6	s.	s.	PROPN
fis-5090	252	7	,	,	PUNCT
fis-5090	252	8	chupakhin	chupakhin	PROPN
fis-5090	252	9	,	,	PUNCT
fis-5090	252	10	s.	s.	PROPN
fis-5090	252	11	,	,	PUNCT
fis-5090	252	12	staron	staron	PROPN
fis-5090	252	13	,	,	PUNCT
fis-5090	252	14	p.	p.	NOUN
fis-5090	252	15	,	,	PUNCT
fis-5090	252	16	maawad	maawad	PROPN
fis-5090	252	17	,	,	PUNCT
fis-5090	252	18	e.	e.	PROPN
fis-5090	252	19	,	,	PUNCT
fis-5090	252	20	kashaev	kashaev	PROPN
fis-5090	252	21	,	,	PUNCT
fis-5090	252	22	n.	n.	PROPN
fis-5090	252	23	and	and	CCONJ
fis-5090	252	24	klusemann	klusemann	PROPN
fis-5090	252	25	,	,	PUNCT
fis-5090	252	26	b.	b.	PROPN
fis-5090	252	27	(	(	PUNCT
fis-5090	252	28	2018	2018	NUM
fis-5090	252	29	)	)	PUNCT
fis-5090	252	30	.	.	PUNCT
fis-5090	253	1	experimental	experimental	ADJ
fis-5090	253	2	and	and	CCONJ
fis-5090	253	3	numerical	numerical	ADJ
fis-5090	253	4	investigation	investigation	NOUN
fis-5090	253	5	of	of	ADP
fis-5090	253	6	residual	residual	ADJ
fis-5090	253	7	stresses	stress	NOUN
fis-5090	253	8	in	in	ADP
fis-5090	253	9	laser	laser	NOUN
fis-5090	253	10	shock	shock	NOUN
fis-5090	253	11	peened	peene	VERB
fis-5090	253	12	aa2198	aa2198	PROPN
fis-5090	253	13	,	,	PUNCT
fis-5090	253	14	j.	j.	PROPN
fis-5090	253	15	mater	mater	PROPN
fis-5090	253	16	.	.	PUNCT
fis-5090	253	17	process	process	NOUN
fis-5090	253	18	.	.	PUNCT
fis-5090	254	1	technol	technol	PROPN
fis-5090	254	2	.	.	PROPN
fis-5090	254	3	,	,	PUNCT
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fis-5090	254	7	.	.	PUNCT
fis-5090	255	1	294	294	NUM
fis-5090	255	2	-	-	SYM
fis-5090	255	3	307	307	NUM
fis-5090	255	4	.	.	PUNCT
fis-5090	256	1	doi	doi	NOUN
fis-5090	256	2	:	:	PUNCT
fis-5090	256	3	10.1016	10.1016	NUM
fis-5090	256	4	/	/	SYM
fis-5090	256	5	j.jmatprotec.2017.11.023	j.jmatprotec.2017.11.023	PROPN
fis-5090	256	6	.	.	PUNCT
fis-5090	257	1	<	<	X
fis-5090	257	2	<	<	X
fis-5090	257	3	/ascii85encodepages	/ascii85encodepage	NOUN
fis-5090	257	4	false	false	ADJ
fis-5090	257	5	/allowtransparency	/allowtransparency	NOUN
fis-5090	257	6	false	false	ADJ
fis-5090	257	7	/autopositionepsfiles	/autopositionepsfile	NOUN
fis-5090	257	8	true	true	ADJ
fis-5090	257	9	/autorotatepages	/autorotatepage	NOUN
fis-5090	257	10	/none	/none	PUNCT
fis-5090	257	11	/binding	/binding	PUNCT
fis-5090	257	12	/left	/left	ADJ
fis-5090	258	1	/calgrayprofile	/calgrayprofile	VERB
fis-5090	258	2	(	(	PUNCT
fis-5090	258	3	dot	dot	NOUN
fis-5090	258	4	gain	gain	NOUN
fis-5090	258	5	20	20	NUM
fis-5090	258	6	%	%	NOUN
fis-5090	258	7	)	)	PUNCT
fis-5090	258	8	/calrgbprofile	/calrgbprofile	PUNCT
fis-5090	259	1	(	(	PUNCT
fis-5090	259	2	srgb	srgb	PROPN
fis-5090	259	3	iec61966	iec61966	NOUN
fis-5090	259	4	-	-	PUNCT
fis-5090	259	5	2.1	2.1	NUM
fis-5090	259	6	)	)	PUNCT
fis-5090	259	7	/calcmykprofile	/calcmykprofile	PUNCT
fis-5090	260	1	(	(	PUNCT
fis-5090	260	2	u.s	u.s	PROPN
fis-5090	260	3	.	.	PROPN
fis-5090	260	4	web	web	NOUN
fis-5090	260	5	coated	coat	VERB
fis-5090	260	6	\050swop\051	\050swop\051	ADJ
fis-5090	260	7	v2	v2	NOUN
fis-5090	260	8	)	)	PUNCT
fis-5090	260	9	/srgbprofile	/srgbprofile	PUNCT
fis-5090	260	10	(	(	PUNCT
fis-5090	260	11	srgb	srgb	PROPN
fis-5090	260	12	iec61966	iec61966	NOUN
fis-5090	260	13	-	-	PUNCT
fis-5090	260	14	2.1	2.1	NUM
fis-5090	260	15	)	)	PUNCT
fis-5090	260	16	/cannotembedfontpolicy	/cannotembedfontpolicy	PUNCT
fis-5090	261	1	/error	/error	INTJ
fis-5090	261	2	/compatibilitylevel	/compatibilitylevel	NOUN
fis-5090	262	1	1.4	1.4	NUM
fis-5090	262	2	/compressobjects	/compressobject	NOUN
fis-5090	262	3	/tags	/tag	VERB
fis-5090	262	4	/compresspages	/compresspage	NOUN
fis-5090	262	5	true	true	ADJ
fis-5090	262	6	/convertimagestoindexed	/convertimagestoindexed	ADJ
fis-5090	262	7	true	true	ADJ
fis-5090	262	8	/passthroughjpegimages	/passthroughjpegimage	NOUN
fis-5090	262	9	true	true	ADJ
fis-5090	262	10	/createjobticket	/createjobticket	NOUN
fis-5090	262	11	false	false	ADJ
fis-5090	262	12	/defaultrenderingintent	/defaultrenderingintent	NOUN
fis-5090	262	13	/default	/default	PUNCT
fis-5090	262	14	/detectblends	/detectblend	NOUN
fis-5090	262	15	true	true	ADJ
fis-5090	262	16	/detectcurves	/detectcurve	VERB
fis-5090	263	1	0.0000	0.0000	NUM
fis-5090	263	2	/colorconversionstrategy	/colorconversionstrategy	NOUN
fis-5090	263	3	/cmyk	/cmyk	PUNCT
fis-5090	264	1	/dothumbnails	/dothumbnail	VERB
fis-5090	265	1	false	false	ADJ
fis-5090	265	2	/embedallfonts	/embedallfont	NOUN
fis-5090	265	3	true	true	ADJ
fis-5090	265	4	/embedopentype	/embedopentype	PUNCT
fis-5090	265	5	false	false	ADJ
fis-5090	265	6	/parseiccprofilesincomments	/parseiccprofilesincomment	NOUN
fis-5090	265	7	true	true	ADJ
fis-5090	265	8	/embedjoboptions	/embedjoboption	NOUN
fis-5090	265	9	true	true	ADJ
fis-5090	265	10	/dscreportinglevel	/dscreportinglevel	NOUN
fis-5090	265	11	0	0	NUM
fis-5090	265	12	/emitdscwarnings	/emitdscwarning	NOUN
fis-5090	265	13	false	false	ADJ
fis-5090	265	14	/endpage	/endpage	NOUN
fis-5090	265	15	-1	-1	NOUN
fis-5090	265	16	/imagememory	/imagememory	NUM
fis-5090	265	17	1048576	1048576	NUM
fis-5090	265	18	/lockdistillerparams	/lockdistillerparams	NOUN
fis-5090	265	19	false	false	ADJ
fis-5090	265	20	/maxsubsetpct	/maxsubsetpct	ADJ
fis-5090	265	21	100	100	NUM
fis-5090	265	22	/optimize	/optimize	NOUN
fis-5090	265	23	true	true	ADJ
fis-5090	265	24	/opm	/opm	NOUN
fis-5090	265	25	1	1	NUM
fis-5090	265	26	/parsedsccomments	/parsedsccomment	NOUN
fis-5090	265	27	true	true	ADJ
fis-5090	265	28	/parsedsccommentsfordocinfo	/parsedsccommentsfordocinfo	VERB
fis-5090	265	29	true	true	ADJ
fis-5090	265	30	/preservecopypage	/preservecopypage	NOUN
fis-5090	265	31	true	true	ADJ
fis-5090	265	32	/preservedicmykvalues	/preservedicmykvalue	NOUN
fis-5090	265	33	true	true	ADJ
fis-5090	265	34	/preserveepsinfo	/preserveepsinfo	NOUN
fis-5090	265	35	true	true	ADJ
fis-5090	265	36	/preserveflatness	/preserveflatness	NOUN
fis-5090	265	37	true	true	ADJ
fis-5090	265	38	/preservehalftoneinfo	/preservehalftoneinfo	PUNCT
fis-5090	265	39	false	false	ADJ
fis-5090	265	40	/preserveopicomments	/preserveopicomment	NOUN
fis-5090	265	41	true	true	ADJ
fis-5090	265	42	/preserveoverprintsettings	/preserveoverprintsetting	NOUN
fis-5090	265	43	true	true	ADJ
fis-5090	265	44	/startpage	/startpage	NOUN
fis-5090	265	45	1	1	NUM
fis-5090	265	46	/subsetfonts	/subsetfont	NOUN
fis-5090	265	47	true	true	ADJ
fis-5090	265	48	/transferfunctioninfo	/transferfunctioninfo	PUNCT
fis-5090	265	49	/apply	/apply	PUNCT
fis-5090	265	50	/ucrandbginfo	/ucrandbginfo	PUNCT
fis-5090	266	1	/preserve	/preserve	NOUN
fis-5090	266	2	/useprologue	/useprologue	NOUN
fis-5090	266	3	false	false	ADJ
fis-5090	266	4	/colorsettingsfile	/colorsettingsfile	NOUN
fis-5090	266	5	(	(	PUNCT
fis-5090	266	6	)	)	PUNCT
fis-5090	266	7	/alwaysembed	/alwaysembe	VERB
fis-5090	266	8	[	[	PUNCT
fis-5090	266	9	true	true	ADJ
fis-5090	266	10	]	]	PUNCT
fis-5090	266	11	/neverembed	/neverembed	PUNCT
fis-5090	267	1	[	[	PUNCT
fis-5090	267	2	true	true	ADJ
fis-5090	267	3	]	]	PUNCT
fis-5090	267	4	/antialiascolorimages	/antialiascolorimages	X
fis-5090	267	5	false	false	ADJ
fis-5090	267	6	/cropcolorimages	/cropcolorimages	PUNCT
fis-5090	267	7	true	true	ADJ
fis-5090	267	8	/colorimageminresolution	/colorimageminresolution	PUNCT
fis-5090	267	9	300	300	NUM
fis-5090	267	10	/colorimageminresolutionpolicy	/colorimageminresolutionpolicy	NOUN
fis-5090	267	11	/ok	/ok	ADJ
fis-5090	268	1	/downsamplecolorimages	/downsamplecolorimage	VERB
fis-5090	269	1	true	true	ADJ
fis-5090	269	2	/colorimagedownsampletype	/colorimagedownsampletype	PUNCT
fis-5090	269	3	/bicubic	/bicubic	NOUN
fis-5090	269	4	/colorimageresolution	/colorimageresolution	NOUN
fis-5090	270	1	300	300	NUM
fis-5090	270	2	/colorimagedepth	/colorimagedepth	PRON
fis-5090	270	3	-1	-1	INTJ
fis-5090	270	4	/colorimagemindownsampledepth	/colorimagemindownsampledepth	SYM
fis-5090	270	5	1	1	NUM
fis-5090	270	6	/colorimagedownsamplethreshold	/colorimagedownsamplethreshold	SYM
fis-5090	270	7	1.50000	1.50000	NUM
fis-5090	270	8	/encodecolorimages	/encodecolorimage	NOUN
fis-5090	270	9	true	true	ADJ
fis-5090	270	10	/colorimagefilter	/colorimagefilter	PUNCT
fis-5090	270	11	/dctencode	/dctencode	PUNCT
fis-5090	271	1	/autofiltercolorimages	/autofiltercolorimage	NOUN
fis-5090	271	2	true	true	ADJ
fis-5090	271	3	/colorimageautofilterstrategy	/colorimageautofilterstrategy	PUNCT
fis-5090	271	4	/jpeg	/jpeg	PUNCT
fis-5090	271	5	/coloracsimagedict	/coloracsimagedict	PUNCT
fis-5090	272	1	<	<	X
fis-5090	272	2	<	<	X
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fis-5090	272	4	0.15	0.15	NUM
fis-5090	272	5	/hsamples	/hsample	NOUN
fis-5090	273	1	[	[	X
fis-5090	273	2	1	1	NUM
fis-5090	273	3	1	1	NUM
fis-5090	273	4	1	1	NUM
fis-5090	273	5	1	1	NUM
fis-5090	273	6	]	]	PUNCT
fis-5090	273	7	/vsamples	/vsample	NOUN
fis-5090	274	1	[	[	X
fis-5090	274	2	1	1	NUM
fis-5090	274	3	1	1	NUM
fis-5090	274	4	1	1	NUM
fis-5090	274	5	1	1	NUM
fis-5090	274	6	]	]	PUNCT
fis-5090	274	7	>	>	PUNCT
fis-5090	274	8	>	>	X
fis-5090	274	9	/colorimagedict	/colorimagedict	PUNCT
fis-5090	275	1	<	<	X
fis-5090	275	2	<	<	X
fis-5090	275	3	/qfactor	/qfactor	NOUN
fis-5090	275	4	0.15	0.15	NUM
fis-5090	275	5	/hsamples	/hsample	NOUN
fis-5090	276	1	[	[	X
fis-5090	276	2	1	1	NUM
fis-5090	276	3	1	1	NUM
fis-5090	276	4	1	1	NUM
fis-5090	276	5	1	1	NUM
fis-5090	276	6	]	]	PUNCT
fis-5090	276	7	/vsamples	/vsample	NOUN
fis-5090	277	1	[	[	X
fis-5090	277	2	1	1	NUM
fis-5090	277	3	1	1	NUM
fis-5090	277	4	1	1	NUM
fis-5090	277	5	1	1	NUM
fis-5090	277	6	]	]	PUNCT
fis-5090	277	7	>	>	PUNCT
fis-5090	277	8	>	>	X
fis-5090	277	9	/jpeg2000coloracsimagedict	/jpeg2000coloracsimagedict	PUNCT
fis-5090	278	1	<	<	X
fis-5090	278	2	<	<	X
fis-5090	278	3	/tilewidth	/tilewidth	PUNCT
fis-5090	278	4	256	256	NUM
fis-5090	278	5	/tileheight	/tileheight	NUM
fis-5090	278	6	256	256	NUM
fis-5090	278	7	/quality	/quality	NOUN
fis-5090	278	8	30	30	NUM
fis-5090	278	9	>	>	PUNCT
fis-5090	278	10	>	>	X
fis-5090	278	11	/jpeg2000colorimagedict	/jpeg2000colorimagedict	PUNCT
fis-5090	278	12	<	<	X
fis-5090	278	13	<	<	X
fis-5090	278	14	/tilewidth	/tilewidth	PUNCT
fis-5090	278	15	256	256	NUM
fis-5090	278	16	/tileheight	/tileheight	NUM
fis-5090	278	17	256	256	NUM
fis-5090	278	18	/quality	/quality	NOUN
fis-5090	278	19	30	30	NUM
fis-5090	278	20	>	>	PUNCT
fis-5090	278	21	>	>	X
fis-5090	278	22	/antialiasgrayimages	/antialiasgrayimages	X
fis-5090	278	23	false	false	ADJ
fis-5090	278	24	/cropgrayimages	/cropgrayimage	NOUN
fis-5090	278	25	true	true	ADJ
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fis-5090	278	27	300	300	NUM
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fis-5090	278	29	/ok	/ok	ADJ
fis-5090	278	30	/downsamplegrayimages	/downsamplegrayimages	PUNCT
fis-5090	279	1	true	true	ADJ
fis-5090	279	2	/grayimagedownsampletype	/grayimagedownsampletype	INTJ
fis-5090	279	3	/bicubic	/bicubic	NOUN
fis-5090	279	4	/grayimageresolution	/grayimageresolution	NOUN
fis-5090	279	5	300	300	NUM
fis-5090	279	6	/grayimagedepth	/grayimagedepth	PUNCT
fis-5090	279	7	-1	-1	PUNCT
fis-5090	279	8	/grayimagemindownsampledepth	/grayimagemindownsampledepth	PUNCT
fis-5090	280	1	2	2	NUM
fis-5090	280	2	/grayimagedownsamplethreshold	/grayimagedownsamplethreshold	NUM
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fis-5090	280	4	/encodegrayimages	/encodegrayimage	NOUN
fis-5090	280	5	true	true	ADJ
fis-5090	280	6	/grayimagefilter	/grayimagefilter	NOUN
fis-5090	280	7	/dctencode	/dctencode	PUNCT
fis-5090	281	1	/autofiltergrayimages	/autofiltergrayimages	VERB
fis-5090	281	2	true	true	ADJ
fis-5090	281	3	/grayimageautofilterstrategy	/grayimageautofilterstrategy	INTJ
fis-5090	281	4	/jpeg	/jpeg	PUNCT
fis-5090	281	5	/grayacsimagedict	/grayacsimagedict	PUNCT
fis-5090	282	1	<	<	X
fis-5090	282	2	<	<	X
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fis-5090	282	4	0.15	0.15	NUM
fis-5090	282	5	/hsamples	/hsample	NOUN
fis-5090	283	1	[	[	X
fis-5090	283	2	1	1	NUM
fis-5090	283	3	1	1	NUM
fis-5090	283	4	1	1	NUM
fis-5090	283	5	1	1	NUM
fis-5090	283	6	]	]	PUNCT
fis-5090	283	7	/vsamples	/vsample	NOUN
fis-5090	284	1	[	[	X
fis-5090	284	2	1	1	NUM
fis-5090	284	3	1	1	NUM
fis-5090	284	4	1	1	NUM
fis-5090	284	5	1	1	NUM
fis-5090	284	6	]	]	PUNCT
fis-5090	284	7	>	>	PUNCT
fis-5090	284	8	>	>	X
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fis-5090	303	3	>	>	X
fis-5090	303	4	/fra	/fra	PUNCT
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fis-5090	304	3	>	>	X
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fis-5090	304	7	>	>	X
fis-5090	304	8	/heb	/heb	X
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fis-5090	304	11	>	>	X
fis-5090	304	12	/hrv	/hrv	PROPN
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fis-5090	305	2	za	za	PROPN
fis-5090	305	3	stvaranje	stvaranje	PROPN
fis-5090	305	4	adobe	adobe	PROPN
fis-5090	305	5	pdf	pdf	PROPN
fis-5090	305	6	dokumenata	dokumenata	PROPN
fis-5090	305	7	najpogodnijih	najpogodnijih	PROPN
fis-5090	305	8	za	za	PROPN
fis-5090	305	9	visokokvalitetni	visokokvalitetni	VERB
fis-5090	305	10	ispis	ispis	ADJ
fis-5090	305	11	prije	prije	NOUN
fis-5090	305	12	tiskanja	tiskanja	PROPN
fis-5090	305	13	koristite	koristite	PROPN
fis-5090	305	14	ove	ove	NOUN
fis-5090	305	15	postavke	postavke	NOUN
fis-5090	305	16	.	.	PUNCT
fis-5090	306	1	stvoreni	stvoreni	ADJ
fis-5090	306	2	pdf	pdf	NOUN
fis-5090	306	3	dokumenti	dokumenti	PROPN
fis-5090	306	4	mogu	mogu	PROPN
fis-5090	306	5	se	se	X
fis-5090	306	6	otvoriti	otvoriti	PROPN
fis-5090	306	7	acrobat	acrobat	PROPN
fis-5090	307	1	i	i	PRON
fis-5090	307	2	adobe	adobe	PROPN
fis-5090	307	3	reader	reader	PROPN
fis-5090	307	4	5.0	5.0	NUM
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fis-5090	307	6	kasnijim	kasnijim	VERB
fis-5090	307	7	verzijama	verzijama	NOUN
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fis-5090	308	1	/hun	/hun	PUNCT
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fis-5090	309	3	>	>	X
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fis-5090	310	3	>	>	X
fis-5090	310	4	/jpn	/jpn	PROPN
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fis-5090	311	3	>	>	X
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fis-5090	312	3	>	>	X
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fis-5090	313	3	>	>	X
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fis-5090	314	3	>	>	X
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fis-5090	321	4	/sve	/sve	PROPN
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fis-5090	321	7	>	>	X
fis-5090	321	8	/tur	/tur	X
fis-5090	321	9	<	<	X
fis-5090	321	10	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	PROPN
fis-5090	321	11	>	>	X
fis-5090	321	12	/ukr	/ukr	X
fis-5090	321	13	<	<	X
fis-5090	321	14	feff04120438043a043e0440043804410442043e043204430439044204350020044604560020043f043004400430043c043504420440043800200434043b044f0020044104420432043e04400435043d043d044f00200434043e043a0443043c0435043d044204560432002000410064006f006200650020005000440046002c0020044f043a04560020043d04300439043a04400430044904350020043f045604340445043e0434044f0442044c00200434043b044f0020043204380441043e043a043e044f043a04560441043d043e0433043e0020043f0435044004350434043404400443043a043e0432043e0433043e0020043404400443043a0443002e00200020042104420432043e04400435043d045600200434043e043a0443043c0435043d0442043800200050004400460020043c043e0436043d04300020043204560434043a0440043804420438002004430020004100630072006f006200610074002004420430002000410064006f00620065002000520065006100640065007200200035002e0030002004300431043e0020043f04560437043d04560448043e04570020043204350440044104560457002e	feff04120438043a043e0440043804410442043e043204430439044204350020044604560020043f043004400430043c043504420440043800200434043b044f0020044104420432043e04400435043d043d044f00200434043e043a0443043c0435043d044204560432002000410064006f006200650020005000440046002c0020044f043a04560020043d04300439043a04400430044904350020043f045604340445043e0434044f0442044c00200434043b044f0020043204380441043e043a043e044f043a04560441043d043e0433043e0020043f0435044004350434043404400443043a043e0432043e0433043e0020043404400443043a0443002e00200020042104420432043e04400435043d045600200434043e043a0443043c0435043d0442043800200050004400460020043c043e0436043d04300020043204560434043a0440043804420438002004430020004100630072006f006200610074002004420430002000410064006f00620065002000520065006100640065007200200035002e0030002004300431043e0020043f04560437043d04560448043e04570020043204350440044104560457002e	X
fis-5090	321	15	>	>	X
fis-5090	321	16	/enu	/enu	PUNCT
fis-5090	321	17	(	(	PUNCT
fis-5090	321	18	use	use	VERB
fis-5090	321	19	these	these	DET
fis-5090	321	20	settings	setting	NOUN
fis-5090	321	21	to	to	PART
fis-5090	321	22	create	create	VERB
fis-5090	321	23	adobe	adobe	PROPN
fis-5090	321	24	pdf	pdf	PROPN
fis-5090	321	25	documents	document	NOUN
fis-5090	321	26	best	well	ADV
fis-5090	321	27	suited	suit	VERB
fis-5090	321	28	for	for	ADP
fis-5090	321	29	high	high	ADJ
fis-5090	321	30	-	-	PUNCT
fis-5090	321	31	quality	quality	NOUN
fis-5090	321	32	prepress	prepress	NOUN
fis-5090	321	33	printing	printing	NOUN
fis-5090	321	34	.	.	PUNCT
fis-5090	322	1	created	create	VERB
fis-5090	322	2	pdf	pdf	NOUN
fis-5090	322	3	documents	document	NOUN
fis-5090	322	4	can	can	AUX
fis-5090	322	5	be	be	AUX
fis-5090	322	6	opened	open	VERB
fis-5090	322	7	with	with	ADP
fis-5090	322	8	acrobat	acrobat	PROPN
fis-5090	322	9	and	and	CCONJ
fis-5090	322	10	adobe	adobe	PROPN
fis-5090	322	11	reader	reader	PROPN
fis-5090	322	12	5.0	5.0	NUM
fis-5090	322	13	and	and	CCONJ
fis-5090	322	14	later	later	ADV
fis-5090	322	15	.	.	PUNCT
fis-5090	322	16	)	)	PUNCT
fis-5090	323	1	>	>	PUNCT
fis-5090	323	2	>	>	X
fis-5090	323	3	/namespace	/namespace	PUNCT
fis-5090	324	1	[	[	PUNCT
fis-5090	324	2	(	(	PUNCT
fis-5090	324	3	adobe	adobe	PROPN
fis-5090	324	4	)	)	PUNCT
fis-5090	324	5	(	(	PUNCT
fis-5090	324	6	common	common	ADJ
fis-5090	324	7	)	)	PUNCT
fis-5090	324	8	(	(	PUNCT
fis-5090	324	9	1.0	1.0	NUM
fis-5090	324	10	)	)	PUNCT
fis-5090	324	11	]	]	PUNCT
fis-5090	325	1	/othernamespaces	/othernamespace	VERB
fis-5090	325	2	[	[	PUNCT
fis-5090	325	3	<	<	X
fis-5090	325	4	<	<	X
fis-5090	325	5	/asreaderspreads	/asreaderspreads	X
fis-5090	325	6	false	false	ADJ
fis-5090	325	7	/cropimagestoframes	/cropimagestoframe	NOUN
fis-5090	325	8	true	true	ADJ
fis-5090	325	9	/errorcontrol	/errorcontrol	NOUN
fis-5090	326	1	/warnandcontinue	/warnandcontinue	PUNCT
fis-5090	326	2	/flattenerignorespreadoverrides	/flattenerignorespreadoverride	NOUN
fis-5090	326	3	false	false	ADJ
fis-5090	326	4	/includeguidesgrids	/includeguidesgrid	NOUN
fis-5090	326	5	false	false	ADJ
fis-5090	326	6	/includenonprinting	/includenonprinting	NOUN
fis-5090	326	7	false	false	ADJ
fis-5090	326	8	/includeslug	/includeslug	INTJ
fis-5090	326	9	false	false	ADJ
fis-5090	326	10	/namespace	/namespace	NOUN
fis-5090	327	1	[	[	PUNCT
fis-5090	327	2	(	(	PUNCT
fis-5090	327	3	adobe	adobe	PROPN
fis-5090	327	4	)	)	PUNCT
fis-5090	327	5	(	(	PUNCT
fis-5090	327	6	indesign	indesign	NOUN
fis-5090	327	7	)	)	PUNCT
fis-5090	327	8	(	(	PUNCT
fis-5090	327	9	4.0	4.0	NUM
fis-5090	327	10	)	)	PUNCT
fis-5090	327	11	]	]	PUNCT
fis-5090	327	12	/omitplacedbitmaps	/omitplacedbitmaps	PUNCT
fis-5090	328	1	false	false	ADJ
fis-5090	328	2	/omitplacedeps	/omitplacedeps	INTJ
fis-5090	328	3	false	false	ADJ
fis-5090	328	4	/omitplacedpdf	/omitplacedpdf	PUNCT
fis-5090	328	5	false	false	ADJ
fis-5090	328	6	/simulateoverprint	/simulateoverprint	NOUN
fis-5090	328	7	/legacy	/legacy	PUNCT
fis-5090	329	1	>	>	PUNCT
fis-5090	329	2	>	>	X
fis-5090	330	1	<	<	X
fis-5090	330	2	<	<	X
fis-5090	330	3	/addbleedmarks	/addbleedmarks	X
fis-5090	330	4	false	false	ADJ
fis-5090	330	5	/addcolorbars	/addcolorbars	INTJ
fis-5090	330	6	false	false	ADJ
fis-5090	330	7	/addcropmarks	/addcropmarks	PUNCT
fis-5090	330	8	false	false	ADJ
fis-5090	330	9	/addpageinfo	/addpageinfo	INTJ
fis-5090	330	10	false	false	ADJ
fis-5090	330	11	/addregmarks	/addregmark	NOUN
fis-5090	330	12	false	false	ADJ
fis-5090	330	13	/convertcolors	/convertcolor	NOUN
fis-5090	330	14	/converttocmyk	/converttocmyk	INTJ
fis-5090	330	15	/destinationprofilename	/destinationprofilename	PUNCT
fis-5090	330	16	(	(	PUNCT
fis-5090	330	17	)	)	PUNCT
fis-5090	330	18	/destinationprofileselector	/destinationprofileselector	NOUN
fis-5090	330	19	/documentcmyk	/documentcmyk	PUNCT
fis-5090	330	20	/downsample16bitimages	/downsample16bitimage	NOUN
fis-5090	330	21	true	true	ADJ
fis-5090	330	22	/flattenerpreset	/flattenerpreset	PUNCT
fis-5090	331	1	<	<	X
fis-5090	331	2	<	<	X
fis-5090	331	3	/presetselector	/presetselector	X
fis-5090	331	4	/mediumresolution	/mediumresolution	NOUN
fis-5090	331	5	>	>	PUNCT
fis-5090	331	6	>	>	X
fis-5090	331	7	/formelements	/formelement	NOUN
fis-5090	332	1	false	false	ADJ
fis-5090	332	2	/generatestructure	/generatestructure	PUNCT
fis-5090	332	3	false	false	ADJ
fis-5090	332	4	/includebookmarks	/includebookmark	NOUN
fis-5090	332	5	false	false	ADJ
fis-5090	332	6	/includehyperlinks	/includehyperlinks	INTJ
fis-5090	332	7	false	false	ADJ
fis-5090	332	8	/includeinteractive	/includeinteractive	ADJ
fis-5090	332	9	false	false	ADJ
fis-5090	332	10	/includelayers	/includelayer	NOUN
fis-5090	332	11	false	false	ADJ
fis-5090	332	12	/includeprofiles	/includeprofiles	INTJ
fis-5090	332	13	false	false	ADJ
fis-5090	332	14	/multimediahandling	/multimediahandling	NOUN
fis-5090	333	1	/useobjectsettings	/useobjectsettings	PRON
fis-5090	334	1	/namespace	/namespace	PUNCT
fis-5090	335	1	[	[	PUNCT
fis-5090	335	2	(	(	PUNCT
fis-5090	335	3	adobe	adobe	PROPN
fis-5090	335	4	)	)	PUNCT
fis-5090	335	5	(	(	PUNCT
fis-5090	335	6	creativesuite	creativesuite	NOUN
fis-5090	335	7	)	)	PUNCT
fis-5090	335	8	(	(	PUNCT
fis-5090	335	9	2.0	2.0	NUM
fis-5090	335	10	)	)	PUNCT
fis-5090	335	11	]	]	PUNCT
fis-5090	336	1	/pdfxoutputintentprofileselector	/pdfxoutputintentprofileselector	INTJ
fis-5090	336	2	/documentcmyk	/documentcmyk	PUNCT
fis-5090	337	1	/preserveediting	/preserveedite	VERB
fis-5090	337	2	true	true	ADJ
fis-5090	337	3	/untaggedcmykhandling	/untaggedcmykhandling	NOUN
fis-5090	337	4	/leaveuntagged	/leaveuntagge	VERB
fis-5090	337	5	/untaggedrgbhandling	/untaggedrgbhandling	NOUN
fis-5090	337	6	/usedocumentprofile	/usedocumentprofile	INTJ
fis-5090	337	7	/usedocumentbleed	/usedocumentbleed	NOUN
fis-5090	338	1	false	false	ADJ
fis-5090	338	2	>	>	PUNCT
fis-5090	338	3	>	>	X
fis-5090	338	4	]	]	PUNCT
fis-5090	338	5	>	>	PUNCT
fis-5090	338	6	>	>	X
fis-5090	338	7	setdistillerparams	setdistillerparam	NOUN
fis-5090	339	1	<	<	X
fis-5090	339	2	<	<	X
fis-5090	339	3	/hwresolution	/hwresolution	NOUN
fis-5090	340	1	[	[	X
fis-5090	340	2	2400	2400	NUM
fis-5090	340	3	2400	2400	NUM
fis-5090	340	4	]	]	PUNCT
fis-5090	340	5	/pagesize	/pagesize	X
fis-5090	341	1	[	[	X
fis-5090	341	2	612.000	612.000	NUM
fis-5090	341	3	792.000	792.000	NUM
fis-5090	341	4	]	]	PUNCT
fis-5090	341	5	>	>	PUNCT
fis-5090	341	6	>	>	X
fis-5090	341	7	setpagedevice	setpagedevice	PROPN