id	sid	tid	token	lemma	pos
aiti-15175	1	1	microsoft	microsoft	PROPN
aiti-15175	1	2	word	word	NOUN
aiti-15175	1	3	aiti#15175	aiti#15175	PROPN
aiti-15175	1	4	20251208	20251208	NUM
aiti-15175	1	5	(	(	PUNCT
aiti-15175	1	6	way	way	NOUN
aiti-15175	1	7	,	,	PUNCT
aiti-15175	1	8	print	print	NOUN
aiti-15175	1	9	1).docx	1).docx	NUM
aiti-15175	1	10	advances	advance	NOUN
aiti-15175	1	11	in	in	ADP
aiti-15175	1	12	technology	technology	NOUN
aiti-15175	1	13	innovation	innovation	NOUN
aiti-15175	1	14	,	,	PUNCT
aiti-15175	1	15	vol	vol	NOUN
aiti-15175	1	16	.	.	PUNCT
aiti-15175	2	1	x	x	X
aiti-15175	2	2	,	,	PUNCT
aiti-15175	2	3	no	no	INTJ
aiti-15175	2	4	.	.	PUNCT
aiti-15175	3	1	x	x	X
aiti-15175	3	2	,	,	PUNCT
aiti-15175	3	3	20xx	20xx	ADJ
aiti-15175	3	4	,	,	PUNCT
aiti-15175	3	5	pp	pp	PROPN
aiti-15175	3	6	.	.	PUNCT
aiti-15175	4	1	xx	xx	X
aiti-15175	4	2	-	-	PUNCT
aiti-15175	4	3	xx	xx	NUM
aiti-15175	4	4	remaining	remain	VERB
aiti-15175	4	5	useful	useful	ADJ
aiti-15175	4	6	life	life	NOUN
aiti-15175	4	7	prediction	prediction	NOUN
aiti-15175	4	8	of	of	ADP
aiti-15175	4	9	milling	milling	NOUN
aiti-15175	4	10	tool	tool	NOUN
aiti-15175	4	11	based	base	VERB
aiti-15175	4	12	on	on	ADP
aiti-15175	4	13	improved	improved	ADJ
aiti-15175	4	14	pso	pso	NOUN
aiti-15175	4	15	-	-	PUNCT
aiti-15175	4	16	multiam	multiam	NOUN
aiti-15175	4	17	-	-	PUNCT
aiti-15175	4	18	bilstm	bilstm	NOUN
aiti-15175	4	19	xiaomei	xiaomei	PROPN
aiti-15175	4	20	ni1	ni1	PROPN
aiti-15175	4	21	,	,	PUNCT
aiti-15175	4	22	david	david	PROPN
aiti-15175	4	23	chua	chua	PROPN
aiti-15175	4	24	sing	sing	PROPN
aiti-15175	4	25	ngie1	ngie1	PROPN
aiti-15175	4	26	,	,	PUNCT
aiti-15175	4	27	*	*	ADJ
aiti-15175	4	28	,	,	PUNCT
aiti-15175	4	29	wanzhen	wanzhen	ADJ
aiti-15175	4	30	wang2	wang2	PROPN
aiti-15175	4	31	,	,	PUNCT
aiti-15175	4	32	miaomiao	miaomiao	PROPN
aiti-15175	4	33	xin2	xin2	PROPN
aiti-15175	4	34	,	,	PUNCT
aiti-15175	4	35	qiu	qiu	PROPN
aiti-15175	4	36	man2	man2	PROPN
aiti-15175	4	37	,	,	PUNCT
aiti-15175	4	38	liangyu	liangyu	VERB
aiti-15175	4	39	tian2	tian2	PROPN
aiti-15175	4	40	,	,	PUNCT
aiti-15175	4	41	jingzhe	jingzhe	PROPN
aiti-15175	4	42	sun2	sun2	VERB
aiti-15175	4	43	1faculty	1faculty	NUM
aiti-15175	4	44	of	of	ADP
aiti-15175	4	45	engineering	engineering	NOUN
aiti-15175	4	46	,	,	PUNCT
aiti-15175	4	47	universiti	universiti	PROPN
aiti-15175	4	48	malaysia	malaysia	PROPN
aiti-15175	4	49	sarawak	sarawak	PROPN
aiti-15175	4	50	(	(	PUNCT
aiti-15175	4	51	unimas	unimas	PROPN
aiti-15175	4	52	)	)	PUNCT
aiti-15175	4	53	,	,	PUNCT
aiti-15175	4	54	sarawak	sarawak	NOUN
aiti-15175	4	55	,	,	PUNCT
aiti-15175	4	56	malaysia	malaysia	PROPN
aiti-15175	4	57	2school	2school	NUM
aiti-15175	4	58	of	of	ADP
aiti-15175	4	59	intelligent	intelligent	ADJ
aiti-15175	4	60	manufacturing	manufacturing	NOUN
aiti-15175	4	61	and	and	CCONJ
aiti-15175	4	62	control	control	NOUN
aiti-15175	4	63	engineering	engineering	PROPN
aiti-15175	4	64	,	,	PUNCT
aiti-15175	4	65	qilu	qilu	PROPN
aiti-15175	4	66	institute	institute	PROPN
aiti-15175	4	67	of	of	ADP
aiti-15175	4	68	technology	technology	PROPN
aiti-15175	4	69	,	,	PUNCT
aiti-15175	4	70	shandong	shandong	PROPN
aiti-15175	4	71	,	,	PUNCT
aiti-15175	4	72	china	china	PROPN
aiti-15175	4	73	received	receive	VERB
aiti-15175	4	74	22	22	NUM
aiti-15175	4	75	may	may	PROPN
aiti-15175	4	76	2025	2025	NUM
aiti-15175	4	77	;	;	PUNCT
aiti-15175	4	78	received	receive	VERB
aiti-15175	4	79	in	in	ADP
aiti-15175	4	80	revised	revise	VERB
aiti-15175	4	81	form	form	NOUN
aiti-15175	4	82	11	11	NUM
aiti-15175	4	83	august	august	PROPN
aiti-15175	4	84	2025	2025	NUM
aiti-15175	4	85	;	;	PUNCT
aiti-15175	4	86	accepted	accept	VERB
aiti-15175	4	87	18	18	NUM
aiti-15175	4	88	august	august	PROPN
aiti-15175	4	89	2025	2025	NUM
aiti-15175	4	90	doi	doi	NOUN
aiti-15175	4	91	:	:	PUNCT
aiti-15175	4	92	https://doi.org/10.46604/aiti.2025.15175	https://doi.org/10.46604/aiti.2025.15175	PROPN
aiti-15175	4	93	abstract	abstract	NOUN
aiti-15175	4	94	to	to	PART
aiti-15175	4	95	improve	improve	VERB
aiti-15175	4	96	the	the	DET
aiti-15175	4	97	accuracy	accuracy	NOUN
aiti-15175	4	98	of	of	ADP
aiti-15175	4	99	remaining	remain	VERB
aiti-15175	4	100	useful	useful	ADJ
aiti-15175	4	101	life	life	NOUN
aiti-15175	4	102	(	(	PUNCT
aiti-15175	4	103	rul	rul	NOUN
aiti-15175	4	104	)	)	PUNCT
aiti-15175	4	105	prediction	prediction	NOUN
aiti-15175	4	106	for	for	ADP
aiti-15175	4	107	milling	milling	NOUN
aiti-15175	4	108	tools	tool	NOUN
aiti-15175	4	109	,	,	PUNCT
aiti-15175	4	110	this	this	DET
aiti-15175	4	111	study	study	NOUN
aiti-15175	4	112	proposes	propose	VERB
aiti-15175	4	113	an	an	DET
aiti-15175	4	114	enhanced	enhanced	ADJ
aiti-15175	4	115	pso	pso	NOUN
aiti-15175	4	116	-	-	PUNCT
aiti-15175	4	117	multiam	multiam	NOUN
aiti-15175	4	118	-	-	PUNCT
aiti-15175	4	119	bilstm	bilstm	NOUN
aiti-15175	4	120	model	model	NOUN
aiti-15175	4	121	integrating	integrate	VERB
aiti-15175	4	122	particle	particle	NOUN
aiti-15175	4	123	swarm	swarm	NOUN
aiti-15175	4	124	optimization	optimization	NOUN
aiti-15175	4	125	(	(	PUNCT
aiti-15175	4	126	pso	pso	NOUN
aiti-15175	4	127	)	)	PUNCT
aiti-15175	4	128	,	,	PUNCT
aiti-15175	4	129	multi	multi	ADJ
aiti-15175	4	130	-	-	ADJ
aiti-15175	4	131	head	head	ADJ
aiti-15175	4	132	attention	attention	NOUN
aiti-15175	4	133	mechanism	mechanism	NOUN
aiti-15175	4	134	(	(	PUNCT
aiti-15175	4	135	multiam	multiam	NOUN
aiti-15175	4	136	)	)	PUNCT
aiti-15175	4	137	,	,	PUNCT
aiti-15175	4	138	and	and	CCONJ
aiti-15175	4	139	bidirectional	bidirectional	ADJ
aiti-15175	4	140	long	long	ADJ
aiti-15175	4	141	short	short	ADJ
aiti-15175	4	142	-	-	PUNCT
aiti-15175	4	143	term	term	NOUN
aiti-15175	4	144	memory	memory	NOUN
aiti-15175	4	145	(	(	PUNCT
aiti-15175	4	146	bilstm	bilstm	NOUN
aiti-15175	4	147	)	)	PUNCT
aiti-15175	4	148	.	.	PUNCT
aiti-15175	5	1	the	the	DET
aiti-15175	5	2	model	model	NOUN
aiti-15175	5	3	captures	capture	VERB
aiti-15175	5	4	key	key	ADJ
aiti-15175	5	5	information	information	NOUN
aiti-15175	5	6	in	in	ADP
aiti-15175	5	7	input	input	NOUN
aiti-15175	5	8	sequences	sequence	NOUN
aiti-15175	5	9	,	,	PUNCT
aiti-15175	5	10	alleviating	alleviate	VERB
aiti-15175	5	11	early	early	ADJ
aiti-15175	5	12	feature	feature	NOUN
aiti-15175	5	13	attenuation	attenuation	NOUN
aiti-15175	5	14	in	in	ADP
aiti-15175	5	15	bilstm	bilstm	NOUN
aiti-15175	5	16	from	from	ADP
aiti-15175	5	17	“	"	PUNCT
aiti-15175	5	18	chain	chain	NOUN
aiti-15175	5	19	propagation	propagation	NOUN
aiti-15175	5	20	.	.	PUNCT
aiti-15175	5	21	”	"	PUNCT
aiti-15175	6	1	a	a	DET
aiti-15175	6	2	logarithmic	logarithmic	ADJ
aiti-15175	6	3	decreasing	decrease	VERB
aiti-15175	6	4	strategy	strategy	NOUN
aiti-15175	6	5	adjusts	adjust	VERB
aiti-15175	6	6	pso	pso	NOUN
aiti-15175	6	7	inertia	inertia	NOUN
aiti-15175	6	8	weights	weight	NOUN
aiti-15175	6	9	,	,	PUNCT
aiti-15175	6	10	balancing	balance	VERB
aiti-15175	6	11	global	global	ADJ
aiti-15175	6	12	and	and	CCONJ
aiti-15175	6	13	local	local	ADJ
aiti-15175	6	14	searches	search	NOUN
aiti-15175	6	15	while	while	SCONJ
aiti-15175	6	16	optimizing	optimize	VERB
aiti-15175	6	17	bilstm	bilstm	NOUN
aiti-15175	6	18	parameters	parameter	NOUN
aiti-15175	6	19	.	.	PUNCT
aiti-15175	7	1	validated	validate	VERB
aiti-15175	7	2	on	on	ADP
aiti-15175	7	3	the	the	DET
aiti-15175	7	4	phm2010	phm2010	NOUN
aiti-15175	7	5	dataset	dataset	NOUN
aiti-15175	7	6	,	,	PUNCT
aiti-15175	7	7	the	the	DET
aiti-15175	7	8	model	model	NOUN
aiti-15175	7	9	attains	attain	VERB
aiti-15175	7	10	an	an	DET
aiti-15175	7	11	average	average	ADJ
aiti-15175	7	12	coefficient	coefficient	NOUN
aiti-15175	7	13	of	of	ADP
aiti-15175	7	14	determination	determination	NOUN
aiti-15175	7	15	of	of	ADP
aiti-15175	7	16	0.97	0.97	NUM
aiti-15175	7	17	,	,	PUNCT
aiti-15175	7	18	with	with	ADP
aiti-15175	7	19	average	average	ADJ
aiti-15175	7	20	root	root	NOUN
aiti-15175	7	21	-	-	PUNCT
aiti-15175	7	22	mean	mean	ADJ
aiti-15175	7	23	-	-	PUNCT
aiti-15175	7	24	square	square	NOUN
aiti-15175	7	25	error	error	NOUN
aiti-15175	7	26	and	and	CCONJ
aiti-15175	7	27	mean	mean	VERB
aiti-15175	7	28	absolute	absolute	ADJ
aiti-15175	7	29	error	error	NOUN
aiti-15175	7	30	of	of	ADP
aiti-15175	7	31	0.062	0.062	NUM
aiti-15175	7	32	and	and	CCONJ
aiti-15175	7	33	0.045	0.045	NUM
aiti-15175	7	34	,	,	PUNCT
aiti-15175	7	35	improving	improve	VERB
aiti-15175	7	36	prediction	prediction	NOUN
aiti-15175	7	37	accuracy	accuracy	NOUN
aiti-15175	7	38	by	by	ADP
aiti-15175	7	39	9.64	9.64	NUM
aiti-15175	7	40	%	%	NOUN
aiti-15175	7	41	and	and	CCONJ
aiti-15175	7	42	4.06	4.06	NUM
aiti-15175	7	43	%	%	NOUN
aiti-15175	7	44	over	over	ADP
aiti-15175	7	45	multiam	multiam	NOUN
aiti-15175	7	46	-	-	PUNCT
aiti-15175	7	47	bilstm	bilstm	NOUN
aiti-15175	7	48	and	and	CCONJ
aiti-15175	7	49	pso	pso	NOUN
aiti-15175	7	50	-	-	PUNCT
aiti-15175	7	51	am	am	NOUN
aiti-15175	7	52	-	-	PUNCT
aiti-15175	7	53	bilstm	bilstm	NOUN
aiti-15175	7	54	,	,	PUNCT
aiti-15175	7	55	respectively	respectively	ADV
aiti-15175	7	56	.	.	PUNCT
aiti-15175	8	1	such	such	DET
aiti-15175	8	2	a	a	DET
aiti-15175	8	3	result	result	NOUN
aiti-15175	8	4	attests	attest	VERB
aiti-15175	8	5	to	to	ADP
aiti-15175	8	6	the	the	DET
aiti-15175	8	7	effective	effective	ADJ
aiti-15175	8	8	extraction	extraction	NOUN
aiti-15175	8	9	of	of	ADP
aiti-15175	8	10	degradation	degradation	NOUN
aiti-15175	8	11	features	feature	NOUN
aiti-15175	8	12	of	of	ADP
aiti-15175	8	13	tools	tool	NOUN
aiti-15175	8	14	and	and	CCONJ
aiti-15175	8	15	provides	provide	VERB
aiti-15175	8	16	a	a	DET
aiti-15175	8	17	valuable	valuable	ADJ
aiti-15175	8	18	reference	reference	NOUN
aiti-15175	8	19	for	for	ADP
aiti-15175	8	20	predicting	predict	VERB
aiti-15175	8	21	the	the	DET
aiti-15175	8	22	rul	rul	NOUN
aiti-15175	8	23	of	of	ADP
aiti-15175	8	24	milling	milling	NOUN
aiti-15175	8	25	tools	tool	NOUN
aiti-15175	8	26	.	.	PUNCT
aiti-15175	9	1	keywords	keyword	NOUN
aiti-15175	9	2	:	:	PUNCT
aiti-15175	9	3	multiam	multiam	PROPN
aiti-15175	9	4	,	,	PUNCT
aiti-15175	9	5	pso	pso	NOUN
aiti-15175	9	6	algorithm	algorithm	NOUN
aiti-15175	9	7	,	,	PUNCT
aiti-15175	9	8	bilstm	bilstm	NOUN
aiti-15175	9	9	,	,	PUNCT
aiti-15175	9	10	rul	rul	PROPN
aiti-15175	9	11	1	1	NUM
aiti-15175	9	12	.	.	PUNCT
aiti-15175	10	1	introduction	introduction	NOUN
aiti-15175	10	2	as	as	ADP
aiti-15175	10	3	a	a	DET
aiti-15175	10	4	fundamental	fundamental	ADJ
aiti-15175	10	5	tool	tool	NOUN
aiti-15175	10	6	of	of	ADP
aiti-15175	10	7	industry	industry	NOUN
aiti-15175	10	8	,	,	PUNCT
aiti-15175	10	9	the	the	DET
aiti-15175	10	10	computer	computer	NOUN
aiti-15175	10	11	numerical	numerical	PROPN
aiti-15175	10	12	control	control	PROPN
aiti-15175	10	13	(	(	PUNCT
aiti-15175	10	14	cnc	cnc	ADJ
aiti-15175	10	15	)	)	PUNCT
aiti-15175	10	16	machine	machine	NOUN
aiti-15175	10	17	tool	tool	NOUN
aiti-15175	10	18	contributes	contribute	VERB
aiti-15175	10	19	significantly	significantly	ADV
aiti-15175	10	20	to	to	ADP
aiti-15175	10	21	industrial	industrial	ADJ
aiti-15175	10	22	manufacturing	manufacturing	NOUN
aiti-15175	10	23	.	.	PUNCT
aiti-15175	11	1	with	with	ADP
aiti-15175	11	2	the	the	DET
aiti-15175	11	3	increasing	increase	VERB
aiti-15175	11	4	demand	demand	NOUN
aiti-15175	11	5	for	for	ADP
aiti-15175	11	6	product	product	NOUN
aiti-15175	11	7	quality	quality	NOUN
aiti-15175	11	8	,	,	PUNCT
aiti-15175	11	9	the	the	DET
aiti-15175	11	10	stability	stability	NOUN
aiti-15175	11	11	of	of	ADP
aiti-15175	11	12	the	the	DET
aiti-15175	11	13	machining	machining	NOUN
aiti-15175	11	14	process	process	NOUN
aiti-15175	11	15	has	have	AUX
aiti-15175	11	16	become	become	VERB
aiti-15175	11	17	increasingly	increasingly	ADV
aiti-15175	11	18	important	important	ADJ
aiti-15175	11	19	.	.	PUNCT
aiti-15175	12	1	this	this	DET
aiti-15175	12	2	section	section	NOUN
aiti-15175	12	3	examines	examine	VERB
aiti-15175	12	4	the	the	DET
aiti-15175	12	5	research	research	NOUN
aiti-15175	12	6	background	background	NOUN
aiti-15175	12	7	of	of	ADP
aiti-15175	12	8	remaining	remain	VERB
aiti-15175	12	9	useful	useful	ADJ
aiti-15175	12	10	life	life	NOUN
aiti-15175	12	11	(	(	PUNCT
aiti-15175	12	12	rul	rul	NOUN
aiti-15175	12	13	)	)	PUNCT
aiti-15175	12	14	prediction	prediction	NOUN
aiti-15175	12	15	,	,	PUNCT
aiti-15175	12	16	relevant	relevant	ADJ
aiti-15175	12	17	literature	literature	NOUN
aiti-15175	12	18	,	,	PUNCT
aiti-15175	12	19	research	research	NOUN
aiti-15175	12	20	gaps	gap	NOUN
aiti-15175	12	21	,	,	PUNCT
aiti-15175	12	22	research	research	NOUN
aiti-15175	12	23	objectives	objective	NOUN
aiti-15175	12	24	,	,	PUNCT
aiti-15175	12	25	and	and	CCONJ
aiti-15175	12	26	the	the	DET
aiti-15175	12	27	structure	structure	NOUN
aiti-15175	12	28	of	of	ADP
aiti-15175	12	29	this	this	DET
aiti-15175	12	30	study	study	NOUN
aiti-15175	12	31	.	.	PUNCT
aiti-15175	13	1	accurate	accurate	ADJ
aiti-15175	13	2	prediction	prediction	NOUN
aiti-15175	13	3	of	of	ADP
aiti-15175	13	4	tool	tool	NOUN
aiti-15175	13	5	rul	rul	NOUN
aiti-15175	13	6	can	can	AUX
aiti-15175	13	7	reduce	reduce	VERB
aiti-15175	13	8	downtime	downtime	NOUN
aiti-15175	13	9	due	due	ADP
aiti-15175	13	10	to	to	ADP
aiti-15175	13	11	tool	tool	NOUN
aiti-15175	13	12	failure	failure	NOUN
aiti-15175	13	13	,	,	PUNCT
aiti-15175	13	14	avoid	avoid	VERB
aiti-15175	13	15	unnecessary	unnecessary	ADJ
aiti-15175	13	16	tool	tool	NOUN
aiti-15175	13	17	changes	change	NOUN
aiti-15175	13	18	,	,	PUNCT
aiti-15175	13	19	and	and	CCONJ
aiti-15175	13	20	extend	extend	VERB
aiti-15175	13	21	tool	tool	NOUN
aiti-15175	13	22	life	life	NOUN
aiti-15175	13	23	,	,	PUNCT
aiti-15175	13	24	which	which	PRON
aiti-15175	13	25	is	be	AUX
aiti-15175	13	26	crucial	crucial	ADJ
aiti-15175	13	27	for	for	ADP
aiti-15175	13	28	improving	improve	VERB
aiti-15175	13	29	productivity	productivity	NOUN
aiti-15175	13	30	and	and	CCONJ
aiti-15175	13	31	saving	save	VERB
aiti-15175	13	32	production	production	NOUN
aiti-15175	13	33	costs	cost	NOUN
aiti-15175	13	34	[	[	X
aiti-15175	13	35	1	1	NUM
aiti-15175	13	36	]	]	PUNCT
aiti-15175	13	37	.	.	PUNCT
aiti-15175	14	1	traditional	traditional	ADJ
aiti-15175	14	2	rul	rul	NOUN
aiti-15175	14	3	prediction	prediction	NOUN
aiti-15175	14	4	methods	method	NOUN
aiti-15175	14	5	mainly	mainly	ADV
aiti-15175	14	6	include	include	VERB
aiti-15175	14	7	methods	method	NOUN
aiti-15175	14	8	based	base	VERB
aiti-15175	14	9	on	on	ADP
aiti-15175	14	10	physical	physical	ADJ
aiti-15175	14	11	models	model	NOUN
aiti-15175	14	12	and	and	CCONJ
aiti-15175	14	13	traditional	traditional	ADJ
aiti-15175	14	14	machine	machine	NOUN
aiti-15175	14	15	learning	learning	NOUN
aiti-15175	14	16	.	.	PUNCT
aiti-15175	15	1	physical	physical	ADJ
aiti-15175	15	2	-	-	PUNCT
aiti-15175	15	3	model	model	NOUN
aiti-15175	15	4	-	-	PUNCT
aiti-15175	15	5	based	base	VERB
aiti-15175	15	6	methods	method	NOUN
aiti-15175	15	7	formulate	formulate	VERB
aiti-15175	15	8	mathematical	mathematical	ADJ
aiti-15175	15	9	models	model	NOUN
aiti-15175	15	10	by	by	ADP
aiti-15175	15	11	studying	study	VERB
aiti-15175	15	12	tool	tool	NOUN
aiti-15175	15	13	failure	failure	NOUN
aiti-15175	15	14	mechanisms	mechanism	NOUN
aiti-15175	15	15	,	,	PUNCT
aiti-15175	15	16	such	such	ADJ
aiti-15175	15	17	as	as	ADP
aiti-15175	15	18	tool	tool	NOUN
aiti-15175	15	19	wear	wear	NOUN
aiti-15175	15	20	,	,	PUNCT
aiti-15175	15	21	whereas	whereas	SCONJ
aiti-15175	15	22	they	they	PRON
aiti-15175	15	23	face	face	VERB
aiti-15175	15	24	challenges	challenge	NOUN
aiti-15175	15	25	in	in	ADP
aiti-15175	15	26	adapting	adapt	VERB
aiti-15175	15	27	to	to	ADP
aiti-15175	15	28	complex	complex	ADJ
aiti-15175	15	29	and	and	CCONJ
aiti-15175	15	30	changing	change	VERB
aiti-15175	15	31	production	production	NOUN
aiti-15175	15	32	environments	environment	NOUN
aiti-15175	15	33	and	and	CCONJ
aiti-15175	15	34	in	in	ADP
aiti-15175	15	35	maintaining	maintain	VERB
aiti-15175	15	36	low	low	ADJ
aiti-15175	15	37	prediction	prediction	NOUN
aiti-15175	15	38	accuracy	accuracy	NOUN
aiti-15175	16	1	[	[	X
aiti-15175	16	2	2	2	NUM
aiti-15175	16	3	-	-	SYM
aiti-15175	16	4	3	3	NUM
aiti-15175	16	5	]	]	PUNCT
aiti-15175	16	6	.	.	PUNCT
aiti-15175	17	1	traditional	traditional	ADJ
aiti-15175	17	2	machine	machine	NOUN
aiti-15175	17	3	learning	learning	NOUN
aiti-15175	17	4	models	model	NOUN
aiti-15175	17	5	are	be	AUX
aiti-15175	17	6	mainly	mainly	ADV
aiti-15175	17	7	trained	train	VERB
aiti-15175	17	8	by	by	ADP
aiti-15175	17	9	degraded	degraded	ADJ
aiti-15175	17	10	data	datum	NOUN
aiti-15175	17	11	,	,	PUNCT
aiti-15175	17	12	such	such	ADJ
aiti-15175	17	13	as	as	ADP
aiti-15175	17	14	the	the	DET
aiti-15175	17	15	hidden	hidden	ADJ
aiti-15175	17	16	markov	markov	NOUN
aiti-15175	17	17	model	model	NOUN
aiti-15175	17	18	,	,	PUNCT
aiti-15175	17	19	the	the	DET
aiti-15175	17	20	wiener	wiener	NOUN
aiti-15175	17	21	process	process	NOUN
aiti-15175	17	22	,	,	PUNCT
aiti-15175	17	23	and	and	CCONJ
aiti-15175	17	24	the	the	DET
aiti-15175	17	25	bayesian	bayesian	NOUN
aiti-15175	17	26	model	model	NOUN
aiti-15175	17	27	.	.	PUNCT
aiti-15175	18	1	however	however	ADV
aiti-15175	18	2	,	,	PUNCT
aiti-15175	18	3	these	these	DET
aiti-15175	18	4	methods	method	NOUN
aiti-15175	18	5	suffer	suffer	VERB
aiti-15175	18	6	from	from	ADP
aiti-15175	18	7	the	the	DET
aiti-15175	18	8	inability	inability	NOUN
aiti-15175	18	9	to	to	PART
aiti-15175	18	10	capture	capture	VERB
aiti-15175	18	11	nonlinear	nonlinear	ADJ
aiti-15175	18	12	relationships	relationship	NOUN
aiti-15175	18	13	and	and	CCONJ
aiti-15175	18	14	difficulty	difficulty	NOUN
aiti-15175	18	15	in	in	ADP
aiti-15175	18	16	maintaining	maintain	VERB
aiti-15175	18	17	the	the	DET
aiti-15175	18	18	accuracy	accuracy	NOUN
aiti-15175	18	19	of	of	ADP
aiti-15175	18	20	prediction	prediction	NOUN
aiti-15175	18	21	results	result	NOUN
aiti-15175	18	22	[	[	X
aiti-15175	18	23	4	4	NUM
aiti-15175	18	24	-	-	SYM
aiti-15175	18	25	5	5	NUM
aiti-15175	18	26	]	]	PUNCT
aiti-15175	18	27	.	.	PUNCT
aiti-15175	19	1	with	with	ADP
aiti-15175	19	2	the	the	DET
aiti-15175	19	3	rapid	rapid	ADJ
aiti-15175	19	4	development	development	NOUN
aiti-15175	19	5	of	of	ADP
aiti-15175	19	6	deep	deep	ADJ
aiti-15175	19	7	learning	learning	NOUN
aiti-15175	19	8	and	and	CCONJ
aiti-15175	19	9	neural	neural	ADJ
aiti-15175	19	10	networks	network	NOUN
aiti-15175	19	11	,	,	PUNCT
aiti-15175	19	12	rul	rul	NOUN
aiti-15175	19	13	prediction	prediction	NOUN
aiti-15175	19	14	based	base	VERB
aiti-15175	19	15	on	on	ADP
aiti-15175	19	16	deep	deep	ADJ
aiti-15175	19	17	learning	learning	NOUN
aiti-15175	19	18	models	model	NOUN
aiti-15175	19	19	is	be	AUX
aiti-15175	19	20	gradually	gradually	ADV
aiti-15175	19	21	gaining	gain	VERB
aiti-15175	19	22	prominence	prominence	NOUN
aiti-15175	19	23	.	.	PUNCT
aiti-15175	20	1	by	by	ADP
aiti-15175	20	2	integrating	integrate	VERB
aiti-15175	20	3	multi	multi	ADJ
aiti-15175	20	4	-	-	ADJ
aiti-15175	20	5	sensor	sensor	ADJ
aiti-15175	20	6	data	datum	NOUN
aiti-15175	20	7	,	,	PUNCT
aiti-15175	20	8	feature	feature	NOUN
aiti-15175	20	9	extraction	extraction	NOUN
aiti-15175	20	10	techniques	technique	NOUN
aiti-15175	20	11	,	,	PUNCT
aiti-15175	20	12	and	and	CCONJ
aiti-15175	20	13	advanced	advanced	ADJ
aiti-15175	20	14	deep	deep	ADJ
aiti-15175	20	15	learning	learning	NOUN
aiti-15175	20	16	methods	method	NOUN
aiti-15175	20	17	,	,	PUNCT
aiti-15175	20	18	researchers	researcher	NOUN
aiti-15175	20	19	can	can	AUX
aiti-15175	20	20	effectively	effectively	ADV
aiti-15175	20	21	predict	predict	VERB
aiti-15175	20	22	rul	rul	NOUN
aiti-15175	20	23	[	[	X
aiti-15175	20	24	6	6	NUM
aiti-15175	20	25	]	]	PUNCT
aiti-15175	20	26	.	.	PUNCT
aiti-15175	21	1	convolutional	convolutional	ADJ
aiti-15175	21	2	neural	neural	ADJ
aiti-15175	21	3	network	network	NOUN
aiti-15175	21	4	(	(	PUNCT
aiti-15175	21	5	cnn	cnn	PROPN
aiti-15175	21	6	)	)	PUNCT
aiti-15175	21	7	demonstrates	demonstrate	VERB
aiti-15175	21	8	proficiency	proficiency	NOUN
aiti-15175	21	9	in	in	ADP
aiti-15175	21	10	*	*	PUNCT
aiti-15175	21	11	corresponding	correspond	VERB
aiti-15175	21	12	author	author	NOUN
aiti-15175	21	13	.	.	PUNCT
aiti-15175	22	1	e	e	X
aiti-15175	22	2	-	-	NOUN
aiti-15175	22	3	mail	mail	NOUN
aiti-15175	22	4	address	address	NOUN
aiti-15175	22	5	:	:	PUNCT
aiti-15175	22	6	21010377@siswa.unimas.my	21010377@siswa.unimas.my	PROPN
aiti-15175	22	7	advances	advance	VERB
aiti-15175	22	8	in	in	ADP
aiti-15175	22	9	technology	technology	NOUN
aiti-15175	22	10	innovation	innovation	NOUN
aiti-15175	22	11	,	,	PUNCT
aiti-15175	22	12	vol	vol	NOUN
aiti-15175	22	13	.	.	PUNCT
aiti-15175	23	1	x	x	X
aiti-15175	23	2	,	,	PUNCT
aiti-15175	23	3	no	no	INTJ
aiti-15175	23	4	.	.	PUNCT
aiti-15175	24	1	x	x	X
aiti-15175	24	2	,	,	PUNCT
aiti-15175	24	3	20xx	20xx	ADJ
aiti-15175	24	4	,	,	PUNCT
aiti-15175	24	5	pp	pp	PROPN
aiti-15175	24	6	.	.	PUNCT
aiti-15175	25	1	xx	xx	AUX
aiti-15175	25	2	-	-	SYM
aiti-15175	25	3	xx	xx	NUM
aiti-15175	25	4	2	2	NUM
aiti-15175	25	5	automatically	automatically	ADV
aiti-15175	25	6	extracting	extract	VERB
aiti-15175	25	7	spatial	spatial	ADJ
aiti-15175	25	8	data	data	NOUN
aiti-15175	25	9	features	feature	NOUN
aiti-15175	25	10	,	,	PUNCT
aiti-15175	25	11	thereby	thereby	ADV
aiti-15175	25	12	augmenting	augment	VERB
aiti-15175	25	13	rul	rul	NOUN
aiti-15175	25	14	prediction	prediction	NOUN
aiti-15175	25	15	accuracy	accuracy	NOUN
aiti-15175	26	1	[	[	X
aiti-15175	26	2	7	7	NUM
aiti-15175	26	3	-	-	SYM
aiti-15175	26	4	9	9	NUM
aiti-15175	26	5	]	]	PUNCT
aiti-15175	26	6	.	.	PUNCT
aiti-15175	27	1	recurrent	recurrent	ADJ
aiti-15175	27	2	neural	neural	ADJ
aiti-15175	27	3	network	network	NOUN
aiti-15175	27	4	(	(	PUNCT
aiti-15175	27	5	rnn	rnn	PROPN
aiti-15175	27	6	)	)	PUNCT
aiti-15175	27	7	and	and	CCONJ
aiti-15175	27	8	its	its	PRON
aiti-15175	27	9	variants	variant	NOUN
aiti-15175	27	10	,	,	PUNCT
aiti-15175	27	11	such	such	ADJ
aiti-15175	27	12	as	as	ADP
aiti-15175	27	13	long	long	ADJ
aiti-15175	27	14	short	short	ADJ
aiti-15175	27	15	-	-	PUNCT
aiti-15175	27	16	term	term	NOUN
aiti-15175	27	17	memory	memory	NOUN
aiti-15175	27	18	(	(	PUNCT
aiti-15175	27	19	lstm	lstm	NOUN
aiti-15175	27	20	)	)	PUNCT
aiti-15175	27	21	and	and	CCONJ
aiti-15175	27	22	bidirectional	bidirectional	ADJ
aiti-15175	27	23	long	long	ADJ
aiti-15175	27	24	short	short	ADJ
aiti-15175	27	25	-	-	PUNCT
aiti-15175	27	26	term	term	NOUN
aiti-15175	27	27	memory	memory	NOUN
aiti-15175	27	28	(	(	PUNCT
aiti-15175	27	29	bilstm	bilstm	NOUN
aiti-15175	27	30	)	)	PUNCT
aiti-15175	27	31	,	,	PUNCT
aiti-15175	27	32	are	be	AUX
aiti-15175	27	33	pervasively	pervasively	ADV
aiti-15175	27	34	employed	employ	VERB
aiti-15175	27	35	in	in	ADP
aiti-15175	27	36	natural	natural	ADJ
aiti-15175	27	37	language	language	NOUN
aiti-15175	27	38	processing	processing	NOUN
aiti-15175	27	39	owing	owe	VERB
aiti-15175	27	40	to	to	ADP
aiti-15175	27	41	their	their	PRON
aiti-15175	27	42	ability	ability	NOUN
aiti-15175	27	43	to	to	PART
aiti-15175	27	44	process	process	VERB
aiti-15175	27	45	temporal	temporal	ADJ
aiti-15175	27	46	data	datum	NOUN
aiti-15175	27	47	,	,	PUNCT
aiti-15175	27	48	and	and	CCONJ
aiti-15175	27	49	have	have	AUX
aiti-15175	27	50	recently	recently	ADV
aiti-15175	27	51	been	be	AUX
aiti-15175	27	52	applied	apply	VERB
aiti-15175	27	53	to	to	ADP
aiti-15175	27	54	rul	rul	NOUN
aiti-15175	27	55	prediction	prediction	NOUN
aiti-15175	27	56	as	as	ADV
aiti-15175	27	57	well	well	ADV
aiti-15175	27	58	[	[	X
aiti-15175	27	59	10	10	NUM
aiti-15175	27	60	]	]	PUNCT
aiti-15175	27	61	.	.	PUNCT
aiti-15175	28	1	wang	wang	PROPN
aiti-15175	28	2	et	et	PROPN
aiti-15175	28	3	al	al	PROPN
aiti-15175	28	4	.	.	PUNCT
aiti-15175	29	1	[	[	X
aiti-15175	29	2	11	11	NUM
aiti-15175	29	3	]	]	PUNCT
aiti-15175	29	4	utilized	utilize	VERB
aiti-15175	29	5	a	a	DET
aiti-15175	29	6	stacked	stack	VERB
aiti-15175	29	7	self	self	NOUN
aiti-15175	29	8	-	-	PUNCT
aiti-15175	29	9	encoder	encoder	NOUN
aiti-15175	29	10	(	(	PUNCT
aiti-15175	29	11	sae	sae	PROPN
aiti-15175	29	12	)	)	PUNCT
aiti-15175	29	13	with	with	SCONJ
aiti-15175	29	14	lstm	lstm	NOUN
aiti-15175	29	15	to	to	PART
aiti-15175	29	16	enhance	enhance	VERB
aiti-15175	29	17	model	model	NOUN
aiti-15175	29	18	generalization	generalization	NOUN
aiti-15175	29	19	under	under	ADP
aiti-15175	29	20	complex	complex	ADJ
aiti-15175	29	21	conditions	condition	NOUN
aiti-15175	29	22	.	.	PUNCT
aiti-15175	30	1	similarly	similarly	ADV
aiti-15175	30	2	,	,	PUNCT
aiti-15175	30	3	wang	wang	PROPN
aiti-15175	30	4	et	et	PROPN
aiti-15175	30	5	al	al	PROPN
aiti-15175	30	6	.	.	PUNCT
aiti-15175	31	1	[	[	X
aiti-15175	31	2	12	12	NUM
aiti-15175	31	3	]	]	PUNCT
aiti-15175	31	4	proposed	propose	VERB
aiti-15175	31	5	a	a	DET
aiti-15175	31	6	cnn	cnn	PROPN
aiti-15175	31	7	-	-	PUNCT
aiti-15175	31	8	lstm	lstm	ADJ
aiti-15175	31	9	-	-	PUNCT
aiti-15175	31	10	pso	pso	NOUN
aiti-15175	31	11	method	method	NOUN
aiti-15175	31	12	,	,	PUNCT
aiti-15175	31	13	which	which	PRON
aiti-15175	31	14	incorporates	incorporate	VERB
aiti-15175	31	15	a	a	DET
aiti-15175	31	16	cnn	cnn	PROPN
aiti-15175	31	17	,	,	PUNCT
aiti-15175	31	18	lstm	lstm	ADJ
aiti-15175	31	19	,	,	PUNCT
aiti-15175	31	20	and	and	CCONJ
aiti-15175	31	21	particle	particle	NOUN
aiti-15175	31	22	swarm	swarm	NOUN
aiti-15175	31	23	optimization	optimization	NOUN
aiti-15175	31	24	(	(	PUNCT
aiti-15175	31	25	pso	pso	NOUN
aiti-15175	31	26	)	)	PUNCT
aiti-15175	31	27	.	.	PUNCT
aiti-15175	32	1	this	this	DET
aiti-15175	32	2	method	method	NOUN
aiti-15175	32	3	utilizes	utilize	VERB
aiti-15175	32	4	cnns	cnn	NOUN
aiti-15175	32	5	to	to	PART
aiti-15175	32	6	extract	extract	VERB
aiti-15175	32	7	local	local	ADJ
aiti-15175	32	8	features	feature	NOUN
aiti-15175	32	9	,	,	PUNCT
aiti-15175	32	10	lstm	lstm	NOUN
aiti-15175	32	11	to	to	PART
aiti-15175	32	12	process	process	VERB
aiti-15175	32	13	temporal	temporal	ADJ
aiti-15175	32	14	information	information	NOUN
aiti-15175	32	15	,	,	PUNCT
aiti-15175	32	16	and	and	CCONJ
aiti-15175	32	17	pso	pso	NOUN
aiti-15175	32	18	to	to	PART
aiti-15175	32	19	optimize	optimize	VERB
aiti-15175	32	20	hyperparameters	hyperparameter	NOUN
aiti-15175	32	21	,	,	PUNCT
aiti-15175	32	22	thereby	thereby	ADV
aiti-15175	32	23	improving	improve	VERB
aiti-15175	32	24	prediction	prediction	NOUN
aiti-15175	32	25	performance	performance	NOUN
aiti-15175	32	26	.	.	PUNCT
aiti-15175	33	1	yao	yao	PROPN
aiti-15175	33	2	et	et	PROPN
aiti-15175	33	3	al	al	PROPN
aiti-15175	33	4	.	.	PUNCT
aiti-15175	34	1	[	[	X
aiti-15175	34	2	13	13	NUM
aiti-15175	34	3	]	]	PUNCT
aiti-15175	34	4	proposed	propose	VERB
aiti-15175	34	5	an	an	DET
aiti-15175	34	6	lstm	lstm	NOUN
aiti-15175	34	7	-	-	PUNCT
aiti-15175	34	8	based	base	VERB
aiti-15175	34	9	deep	deep	ADJ
aiti-15175	34	10	transfer	transfer	NOUN
aiti-15175	34	11	reinforcement	reinforcement	NOUN
aiti-15175	34	12	learning	learning	NOUN
aiti-15175	34	13	network	network	NOUN
aiti-15175	34	14	with	with	ADP
aiti-15175	34	15	strong	strong	ADJ
aiti-15175	34	16	cross	cross	ADJ
aiti-15175	34	17	-	-	ADJ
aiti-15175	34	18	tool	tool	ADJ
aiti-15175	34	19	and	and	CCONJ
aiti-15175	34	20	cutting	cut	VERB
aiti-15175	34	21	condition	condition	NOUN
aiti-15175	34	22	generalization	generalization	NOUN
aiti-15175	34	23	.	.	PUNCT
aiti-15175	35	1	liu	liu	PROPN
aiti-15175	35	2	et	et	PROPN
aiti-15175	35	3	al	al	PROPN
aiti-15175	35	4	.	.	PUNCT
aiti-15175	36	1	[	[	X
aiti-15175	36	2	2	2	NUM
aiti-15175	36	3	]	]	PUNCT
aiti-15175	36	4	used	use	VERB
aiti-15175	36	5	a	a	DET
aiti-15175	36	6	parallel	parallel	ADJ
aiti-15175	36	7	residual	residual	ADJ
aiti-15175	36	8	network	network	NOUN
aiti-15175	36	9	(	(	PUNCT
aiti-15175	36	10	presnet	presnet	NOUN
aiti-15175	36	11	)	)	PUNCT
aiti-15175	36	12	and	and	CCONJ
aiti-15175	36	13	a	a	DET
aiti-15175	36	14	stacked	stack	VERB
aiti-15175	36	15	bilstm	bilstm	NOUN
aiti-15175	36	16	to	to	PART
aiti-15175	36	17	improve	improve	VERB
aiti-15175	36	18	the	the	DET
aiti-15175	36	19	accuracy	accuracy	NOUN
aiti-15175	36	20	of	of	ADP
aiti-15175	36	21	the	the	DET
aiti-15175	36	22	tool	tool	NOUN
aiti-15175	36	23	rul	rul	NOUN
aiti-15175	36	24	.	.	PUNCT
aiti-15175	37	1	as	as	ADP
aiti-15175	37	2	a	a	DET
aiti-15175	37	3	popular	popular	ADJ
aiti-15175	37	4	metaheuristic	metaheuristic	ADJ
aiti-15175	37	5	,	,	PUNCT
aiti-15175	37	6	pso	pso	NOUN
aiti-15175	37	7	optimizes	optimize	VERB
aiti-15175	37	8	models	model	NOUN
aiti-15175	37	9	like	like	ADP
aiti-15175	37	10	backpropagation	backpropagation	NOUN
aiti-15175	37	11	(	(	PUNCT
aiti-15175	37	12	bp	bp	PROPN
aiti-15175	37	13	)	)	PUNCT
aiti-15175	37	14	,	,	PUNCT
aiti-15175	37	15	lstm	lstm	ADJ
aiti-15175	37	16	,	,	PUNCT
aiti-15175	37	17	least	least	ADJ
aiti-15175	37	18	-	-	PUNCT
aiti-15175	37	19	squares	square	NOUN
aiti-15175	37	20	support	support	NOUN
aiti-15175	37	21	vector	vector	NOUN
aiti-15175	37	22	machine	machine	NOUN
aiti-15175	37	23	(	(	PUNCT
aiti-15175	37	24	lssvm	lssvm	NOUN
aiti-15175	37	25	)	)	PUNCT
aiti-15175	37	26	,	,	PUNCT
aiti-15175	37	27	and	and	CCONJ
aiti-15175	37	28	radial	radial	ADJ
aiti-15175	37	29	basis	basis	NOUN
aiti-15175	37	30	function	function	NOUN
aiti-15175	37	31	(	(	PUNCT
aiti-15175	37	32	rbf	rbf	PROPN
aiti-15175	37	33	)	)	PUNCT
aiti-15175	37	34	for	for	ADP
aiti-15175	37	35	rul	rul	NOUN
aiti-15175	37	36	prediction	prediction	NOUN
aiti-15175	37	37	.	.	PUNCT
aiti-15175	38	1	research	research	NOUN
aiti-15175	38	2	has	have	AUX
aiti-15175	38	3	shown	show	VERB
aiti-15175	38	4	that	that	SCONJ
aiti-15175	38	5	both	both	CCONJ
aiti-15175	38	6	the	the	DET
aiti-15175	38	7	bp	bp	PROPN
aiti-15175	38	8	neural	neural	PROPN
aiti-15175	38	9	network	network	PROPN
aiti-15175	38	10	and	and	CCONJ
aiti-15175	38	11	rbf	rbf	PROPN
aiti-15175	38	12	neural	neural	PROPN
aiti-15175	38	13	network	network	NOUN
aiti-15175	38	14	optimized	optimize	VERB
aiti-15175	38	15	by	by	ADP
aiti-15175	38	16	the	the	DET
aiti-15175	38	17	pso	pso	NOUN
aiti-15175	38	18	algorithm	algorithm	NOUN
aiti-15175	38	19	can	can	AUX
aiti-15175	38	20	more	more	ADV
aiti-15175	38	21	accurately	accurately	ADV
aiti-15175	38	22	capture	capture	VERB
aiti-15175	38	23	data	datum	NOUN
aiti-15175	38	24	features	feature	VERB
aiti-15175	38	25	[	[	X
aiti-15175	38	26	14	14	NUM
aiti-15175	38	27	]	]	PUNCT
aiti-15175	38	28	.	.	PUNCT
aiti-15175	39	1	some	some	DET
aiti-15175	39	2	researchers	researcher	NOUN
aiti-15175	39	3	also	also	ADV
aiti-15175	39	4	used	use	VERB
aiti-15175	39	5	the	the	DET
aiti-15175	39	6	pso	pso	NOUN
aiti-15175	39	7	algorithm	algorithm	NOUN
aiti-15175	39	8	to	to	PART
aiti-15175	39	9	optimize	optimize	VERB
aiti-15175	39	10	the	the	DET
aiti-15175	39	11	parameters	parameter	NOUN
aiti-15175	39	12	of	of	ADP
aiti-15175	39	13	the	the	DET
aiti-15175	39	14	cnn	cnn	PROPN
aiti-15175	39	15	-	-	PUNCT
aiti-15175	39	16	lstm	lstm	PROPN
aiti-15175	39	17	model	model	NOUN
aiti-15175	39	18	.	.	PUNCT
aiti-15175	40	1	the	the	DET
aiti-15175	40	2	experimental	experimental	ADJ
aiti-15175	40	3	results	result	NOUN
aiti-15175	40	4	showed	show	VERB
aiti-15175	40	5	that	that	SCONJ
aiti-15175	40	6	the	the	DET
aiti-15175	40	7	method	method	NOUN
aiti-15175	40	8	yields	yield	VERB
aiti-15175	40	9	high	high	ADJ
aiti-15175	40	10	accuracy	accuracy	NOUN
aiti-15175	40	11	and	and	CCONJ
aiti-15175	40	12	stability	stability	NOUN
aiti-15175	40	13	in	in	ADP
aiti-15175	40	14	tool	tool	NOUN
aiti-15175	40	15	wear	wear	VERB
aiti-15175	40	16	prediction	prediction	NOUN
aiti-15175	40	17	[	[	X
aiti-15175	40	18	12	12	NUM
aiti-15175	40	19	]	]	PUNCT
aiti-15175	40	20	.	.	PUNCT
aiti-15175	41	1	some	some	DET
aiti-15175	41	2	studies	study	NOUN
aiti-15175	41	3	have	have	AUX
aiti-15175	41	4	applied	apply	VERB
aiti-15175	41	5	the	the	DET
aiti-15175	41	6	pso	pso	NOUN
aiti-15175	41	7	algorithm	algorithm	NOUN
aiti-15175	41	8	to	to	ADP
aiti-15175	41	9	the	the	DET
aiti-15175	41	10	optimization	optimization	NOUN
aiti-15175	41	11	of	of	ADP
aiti-15175	41	12	the	the	DET
aiti-15175	41	13	lssvm	lssvm	NOUN
aiti-15175	41	14	.	.	PUNCT
aiti-15175	42	1	the	the	DET
aiti-15175	42	2	experiments	experiment	NOUN
aiti-15175	42	3	show	show	VERB
aiti-15175	42	4	that	that	SCONJ
aiti-15175	42	5	the	the	DET
aiti-15175	42	6	optimized	optimize	VERB
aiti-15175	42	7	model	model	NOUN
aiti-15175	42	8	outperforms	outperform	VERB
aiti-15175	42	9	the	the	DET
aiti-15175	42	10	unoptimized	unoptimized	ADJ
aiti-15175	42	11	model	model	NOUN
aiti-15175	42	12	in	in	ADP
aiti-15175	42	13	terms	term	NOUN
aiti-15175	42	14	of	of	ADP
aiti-15175	42	15	prediction	prediction	NOUN
aiti-15175	42	16	performance	performance	NOUN
aiti-15175	42	17	[	[	X
aiti-15175	42	18	15	15	NUM
aiti-15175	42	19	-	-	SYM
aiti-15175	42	20	16	16	NUM
aiti-15175	42	21	]	]	PUNCT
aiti-15175	42	22	.	.	PUNCT
aiti-15175	43	1	in	in	ADP
aiti-15175	43	2	recent	recent	ADJ
aiti-15175	43	3	years	year	NOUN
aiti-15175	43	4	,	,	PUNCT
aiti-15175	43	5	the	the	DET
aiti-15175	43	6	application	application	NOUN
aiti-15175	43	7	of	of	ADP
aiti-15175	43	8	attention	attention	NOUN
aiti-15175	43	9	mechanisms	mechanism	NOUN
aiti-15175	43	10	(	(	PUNCT
aiti-15175	43	11	am	be	AUX
aiti-15175	43	12	)	)	PUNCT
aiti-15175	43	13	in	in	ADP
aiti-15175	43	14	rul	rul	NOUN
aiti-15175	43	15	prediction	prediction	NOUN
aiti-15175	43	16	has	have	AUX
aiti-15175	43	17	received	receive	VERB
aiti-15175	43	18	much	much	ADJ
aiti-15175	43	19	attention	attention	NOUN
aiti-15175	43	20	[	[	X
aiti-15175	43	21	17	17	NUM
aiti-15175	43	22	]	]	PUNCT
aiti-15175	43	23	.	.	PUNCT
aiti-15175	44	1	wang	wang	PROPN
aiti-15175	44	2	and	and	CCONJ
aiti-15175	44	3	zhang	zhang	PROPN
aiti-15175	45	1	[	[	X
aiti-15175	45	2	18	18	NUM
aiti-15175	45	3	]	]	PUNCT
aiti-15175	45	4	proposed	propose	VERB
aiti-15175	45	5	a	a	DET
aiti-15175	45	6	sequence	sequence	NOUN
aiti-15175	45	7	-	-	PUNCT
aiti-15175	45	8	to	to	ADP
aiti-15175	45	9	-	-	PUNCT
aiti-15175	45	10	sequence	sequence	NOUN
aiti-15175	45	11	model	model	NOUN
aiti-15175	45	12	combining	combine	VERB
aiti-15175	45	13	the	the	DET
aiti-15175	45	14	am	am	NOUN
aiti-15175	45	15	and	and	CCONJ
aiti-15175	45	16	monotonicity	monotonicity	NOUN
aiti-15175	45	17	loss	loss	NOUN
aiti-15175	45	18	,	,	PUNCT
aiti-15175	45	19	which	which	PRON
aiti-15175	45	20	utilized	utilize	VERB
aiti-15175	45	21	the	the	DET
aiti-15175	45	22	am	am	NOUN
aiti-15175	45	23	to	to	PART
aiti-15175	45	24	enhance	enhance	VERB
aiti-15175	45	25	the	the	DET
aiti-15175	45	26	model	model	NOUN
aiti-15175	45	27	’s	’s	PART
aiti-15175	45	28	focus	focus	NOUN
aiti-15175	45	29	on	on	ADP
aiti-15175	45	30	key	key	ADJ
aiti-15175	45	31	time	time	NOUN
aiti-15175	45	32	-	-	PUNCT
aiti-15175	45	33	series	series	NOUN
aiti-15175	45	34	features	feature	NOUN
aiti-15175	45	35	and	and	CCONJ
aiti-15175	45	36	introduced	introduce	VERB
aiti-15175	45	37	a	a	DET
aiti-15175	45	38	monotonicity	monotonicity	NOUN
aiti-15175	45	39	loss	loss	NOUN
aiti-15175	45	40	function	function	NOUN
aiti-15175	45	41	to	to	PART
aiti-15175	45	42	enhance	enhance	VERB
aiti-15175	45	43	the	the	DET
aiti-15175	45	44	physical	physical	ADJ
aiti-15175	45	45	consistency	consistency	NOUN
aiti-15175	45	46	of	of	ADP
aiti-15175	45	47	the	the	DET
aiti-15175	45	48	prediction	prediction	NOUN
aiti-15175	45	49	results	result	NOUN
aiti-15175	45	50	.	.	PUNCT
aiti-15175	46	1	dong	dong	NOUN
aiti-15175	46	2	and	and	CCONJ
aiti-15175	46	3	zhao	zhao	PROPN
aiti-15175	47	1	[	[	X
aiti-15175	47	2	19	19	NUM
aiti-15175	47	3	]	]	PUNCT
aiti-15175	47	4	proposed	propose	VERB
aiti-15175	47	5	a	a	DET
aiti-15175	47	6	method	method	NOUN
aiti-15175	47	7	for	for	ADP
aiti-15175	47	8	tool	tool	NOUN
aiti-15175	47	9	wear	wear	VERB
aiti-15175	47	10	prediction	prediction	NOUN
aiti-15175	47	11	that	that	PRON
aiti-15175	47	12	combines	combine	VERB
aiti-15175	47	13	an	an	DET
aiti-15175	47	14	enhanced	enhanced	ADJ
aiti-15175	47	15	autoencoder	autoencoder	NOUN
aiti-15175	47	16	(	(	PUNCT
aiti-15175	47	17	ae	ae	PROPN
aiti-15175	47	18	)	)	PUNCT
aiti-15175	47	19	with	with	ADP
aiti-15175	47	20	a	a	DET
aiti-15175	47	21	multi	multi	ADJ
aiti-15175	47	22	-	-	ADJ
aiti-15175	47	23	head	head	ADJ
aiti-15175	47	24	attention	attention	NOUN
aiti-15175	47	25	mechanism	mechanism	NOUN
aiti-15175	47	26	(	(	PUNCT
aiti-15175	47	27	multiam	multiam	NOUN
aiti-15175	47	28	)	)	PUNCT
aiti-15175	47	29	,	,	PUNCT
aiti-15175	47	30	which	which	PRON
aiti-15175	47	31	utilizes	utilize	VERB
aiti-15175	47	32	the	the	DET
aiti-15175	47	33	ae	ae	PROPN
aiti-15175	47	34	for	for	ADP
aiti-15175	47	35	feature	feature	NOUN
aiti-15175	47	36	extraction	extraction	NOUN
aiti-15175	47	37	and	and	CCONJ
aiti-15175	47	38	focuses	focus	VERB
aiti-15175	47	39	on	on	ADP
aiti-15175	47	40	essential	essential	ADJ
aiti-15175	47	41	timing	timing	NOUN
aiti-15175	47	42	features	feature	NOUN
aiti-15175	47	43	in	in	ADP
aiti-15175	47	44	the	the	DET
aiti-15175	47	45	input	input	NOUN
aiti-15175	47	46	data	datum	NOUN
aiti-15175	47	47	through	through	ADP
aiti-15175	47	48	a	a	DET
aiti-15175	47	49	multiam	multiam	NOUN
aiti-15175	47	50	to	to	PART
aiti-15175	47	51	improve	improve	VERB
aiti-15175	47	52	the	the	DET
aiti-15175	47	53	prediction	prediction	NOUN
aiti-15175	47	54	accuracy	accuracy	NOUN
aiti-15175	47	55	.	.	PUNCT
aiti-15175	48	1	while	while	SCONJ
aiti-15175	48	2	lstm	lstm	NOUN
aiti-15175	48	3	and	and	CCONJ
aiti-15175	48	4	its	its	PRON
aiti-15175	48	5	variants	variant	NOUN
aiti-15175	48	6	have	have	VERB
aiti-15175	48	7	advantages	advantage	NOUN
aiti-15175	48	8	in	in	ADP
aiti-15175	48	9	time	time	NOUN
aiti-15175	48	10	-	-	PUNCT
aiti-15175	48	11	series	series	NOUN
aiti-15175	48	12	processing	processing	NOUN
aiti-15175	48	13	,	,	PUNCT
aiti-15175	48	14	and	and	CCONJ
aiti-15175	48	15	researchers	researcher	NOUN
aiti-15175	48	16	have	have	AUX
aiti-15175	48	17	explored	explore	VERB
aiti-15175	48	18	deep	deep	ADJ
aiti-15175	48	19	learning	learning	NOUN
aiti-15175	48	20	models	model	NOUN
aiti-15175	48	21	,	,	PUNCT
aiti-15175	48	22	pso	pso	NOUN
aiti-15175	48	23	-	-	PUNCT
aiti-15175	48	24	optimized	optimize	VERB
aiti-15175	48	25	models	model	NOUN
aiti-15175	48	26	,	,	PUNCT
aiti-15175	48	27	and	and	CCONJ
aiti-15175	48	28	ams	am	NOUN
aiti-15175	48	29	to	to	PART
aiti-15175	48	30	improve	improve	VERB
aiti-15175	48	31	tool	tool	NOUN
aiti-15175	48	32	rul	rul	NOUN
aiti-15175	48	33	prediction	prediction	NOUN
aiti-15175	48	34	,	,	PUNCT
aiti-15175	48	35	shortcomings	shortcoming	NOUN
aiti-15175	48	36	remain	remain	VERB
aiti-15175	48	37	in	in	ADP
aiti-15175	48	38	addressing	address	VERB
aiti-15175	48	39	the	the	DET
aiti-15175	48	40	key	key	ADJ
aiti-15175	48	41	challenges	challenge	NOUN
aiti-15175	48	42	of	of	ADP
aiti-15175	48	43	current	current	ADJ
aiti-15175	48	44	frameworks	framework	NOUN
aiti-15175	48	45	.	.	PUNCT
aiti-15175	49	1	the	the	DET
aiti-15175	49	2	specific	specific	ADJ
aiti-15175	49	3	research	research	NOUN
aiti-15175	49	4	gaps	gap	NOUN
aiti-15175	49	5	are	be	AUX
aiti-15175	49	6	as	as	SCONJ
aiti-15175	49	7	follows	follow	VERB
aiti-15175	49	8	:	:	PUNCT
aiti-15175	49	9	(	(	PUNCT
aiti-15175	49	10	1	1	X
aiti-15175	49	11	)	)	PUNCT
aiti-15175	49	12	bilstm	bilstm	NOUN
aiti-15175	49	13	exhibits	exhibit	VERB
aiti-15175	49	14	attenuation	attenuation	NOUN
aiti-15175	49	15	of	of	ADP
aiti-15175	49	16	early	early	ADJ
aiti-15175	49	17	wear	wear	NOUN
aiti-15175	49	18	features	feature	NOUN
aiti-15175	49	19	as	as	ADP
aiti-15175	49	20	a	a	DET
aiti-15175	49	21	consequence	consequence	NOUN
aiti-15175	49	22	of	of	ADP
aiti-15175	49	23	the	the	DET
aiti-15175	49	24	“	"	PUNCT
aiti-15175	49	25	chain	chain	NOUN
aiti-15175	49	26	propagation	propagation	NOUN
aiti-15175	49	27	”	"	PUNCT
aiti-15175	49	28	mechanism	mechanism	NOUN
aiti-15175	49	29	.	.	PUNCT
aiti-15175	50	1	current	current	ADJ
aiti-15175	50	2	studies	study	NOUN
aiti-15175	50	3	lack	lack	VERB
aiti-15175	50	4	a	a	DET
aiti-15175	50	5	dynamic	dynamic	ADJ
aiti-15175	50	6	weighting	weighting	NOUN
aiti-15175	50	7	mechanism	mechanism	NOUN
aiti-15175	50	8	designed	design	VERB
aiti-15175	50	9	for	for	ADP
aiti-15175	50	10	the	the	DET
aiti-15175	50	11	stage	stage	NOUN
aiti-15175	50	12	-	-	PUNCT
aiti-15175	50	13	specificity	specificity	NOUN
aiti-15175	50	14	of	of	ADP
aiti-15175	50	15	rul	rul	NOUN
aiti-15175	50	16	prediction	prediction	NOUN
aiti-15175	50	17	,	,	PUNCT
aiti-15175	50	18	hindering	hinder	VERB
aiti-15175	50	19	the	the	DET
aiti-15175	50	20	strengthening	strengthening	NOUN
aiti-15175	50	21	of	of	ADP
aiti-15175	50	22	key	key	ADJ
aiti-15175	50	23	time	time	NOUN
aiti-15175	50	24	-	-	PUNCT
aiti-15175	50	25	period	period	NOUN
aiti-15175	50	26	features	feature	NOUN
aiti-15175	50	27	and	and	CCONJ
aiti-15175	50	28	thus	thus	ADV
aiti-15175	50	29	restricting	restrict	VERB
aiti-15175	50	30	the	the	DET
aiti-15175	50	31	accuracy	accuracy	NOUN
aiti-15175	50	32	and	and	CCONJ
aiti-15175	50	33	applicability	applicability	NOUN
aiti-15175	50	34	of	of	ADP
aiti-15175	50	35	tool	tool	NOUN
aiti-15175	50	36	’s	’s	PART
aiti-15175	50	37	rul	rul	NOUN
aiti-15175	50	38	prediction	prediction	NOUN
aiti-15175	50	39	.	.	PUNCT
aiti-15175	51	1	(	(	PUNCT
aiti-15175	51	2	2	2	X
aiti-15175	51	3	)	)	PUNCT
aiti-15175	51	4	as	as	ADP
aiti-15175	51	5	a	a	DET
aiti-15175	51	6	widely	widely	ADV
aiti-15175	51	7	used	use	VERB
aiti-15175	51	8	metaheuristic	metaheuristic	ADJ
aiti-15175	51	9	algorithm	algorithm	NOUN
aiti-15175	51	10	,	,	PUNCT
aiti-15175	51	11	pso	pso	NOUN
aiti-15175	51	12	currently	currently	ADV
aiti-15175	51	13	exhibits	exhibit	VERB
aiti-15175	51	14	deficiencies	deficiency	NOUN
aiti-15175	51	15	in	in	ADP
aiti-15175	51	16	optimizing	optimize	VERB
aiti-15175	51	17	model	model	NOUN
aiti-15175	51	18	hyperparameters	hyperparameter	NOUN
aiti-15175	51	19	and	and	CCONJ
aiti-15175	51	20	managing	manage	VERB
aiti-15175	51	21	critical	critical	ADJ
aiti-15175	51	22	details	detail	NOUN
aiti-15175	51	23	of	of	ADP
aiti-15175	51	24	the	the	DET
aiti-15175	51	25	training	training	NOUN
aiti-15175	51	26	process	process	NOUN
aiti-15175	51	27	.	.	PUNCT
aiti-15175	52	1	this	this	DET
aiti-15175	52	2	shortcoming	shortcoming	NOUN
aiti-15175	52	3	directly	directly	ADV
aiti-15175	52	4	leads	lead	VERB
aiti-15175	52	5	to	to	ADP
aiti-15175	52	6	the	the	DET
aiti-15175	52	7	inability	inability	NOUN
aiti-15175	52	8	to	to	PART
aiti-15175	52	9	fully	fully	ADV
aiti-15175	52	10	leverage	leverage	VERB
aiti-15175	52	11	the	the	DET
aiti-15175	52	12	inherent	inherent	ADJ
aiti-15175	52	13	performance	performance	NOUN
aiti-15175	52	14	potential	potential	NOUN
aiti-15175	52	15	of	of	ADP
aiti-15175	52	16	target	target	NOUN
aiti-15175	52	17	models	model	NOUN
aiti-15175	52	18	.	.	PUNCT
aiti-15175	53	1	(	(	PUNCT
aiti-15175	53	2	3	3	X
aiti-15175	53	3	)	)	PUNCT
aiti-15175	53	4	the	the	DET
aiti-15175	53	5	initial	initial	ADJ
aiti-15175	53	6	weights	weight	NOUN
aiti-15175	53	7	of	of	ADP
aiti-15175	53	8	the	the	DET
aiti-15175	53	9	current	current	ADJ
aiti-15175	53	10	pso	pso	NOUN
aiti-15175	53	11	algorithm	algorithm	NOUN
aiti-15175	53	12	are	be	AUX
aiti-15175	53	13	generally	generally	ADV
aiti-15175	53	14	optimized	optimize	VERB
aiti-15175	53	15	using	use	VERB
aiti-15175	53	16	linear	linear	NOUN
aiti-15175	53	17	diminishing	diminish	VERB
aiti-15175	53	18	optimization	optimization	NOUN
aiti-15175	53	19	.	.	PUNCT
aiti-15175	54	1	this	this	DET
aiti-15175	54	2	optimization	optimization	NOUN
aiti-15175	54	3	approach	approach	NOUN
aiti-15175	54	4	causes	cause	VERB
aiti-15175	54	5	the	the	DET
aiti-15175	54	6	weights	weight	NOUN
aiti-15175	54	7	to	to	PART
aiti-15175	54	8	drop	drop	VERB
aiti-15175	54	9	rapidly	rapidly	ADV
aiti-15175	54	10	in	in	ADP
aiti-15175	54	11	the	the	DET
aiti-15175	54	12	early	early	ADJ
aiti-15175	54	13	stage	stage	NOUN
aiti-15175	54	14	of	of	ADP
aiti-15175	54	15	the	the	DET
aiti-15175	54	16	particle	particle	NOUN
aiti-15175	54	17	search	search	NOUN
aiti-15175	54	18	,	,	PUNCT
aiti-15175	54	19	incurring	incur	VERB
aiti-15175	54	20	the	the	DET
aiti-15175	54	21	premature	premature	ADJ
aiti-15175	54	22	convergence	convergence	NOUN
aiti-15175	54	23	of	of	ADP
aiti-15175	54	24	particles	particle	NOUN
aiti-15175	54	25	to	to	ADP
aiti-15175	54	26	a	a	DET
aiti-15175	54	27	local	local	ADJ
aiti-15175	54	28	optimal	optimal	ADJ
aiti-15175	54	29	solution	solution	NOUN
aiti-15175	54	30	instead	instead	ADV
aiti-15175	54	31	of	of	ADP
aiti-15175	54	32	finding	find	VERB
aiti-15175	54	33	the	the	DET
aiti-15175	54	34	global	global	ADJ
aiti-15175	54	35	optimal	optimal	ADJ
aiti-15175	54	36	solution	solution	NOUN
aiti-15175	54	37	.	.	PUNCT
aiti-15175	55	1	based	base	VERB
aiti-15175	55	2	on	on	ADP
aiti-15175	55	3	the	the	DET
aiti-15175	55	4	above	above	ADJ
aiti-15175	55	5	analysis	analysis	NOUN
aiti-15175	55	6	of	of	ADP
aiti-15175	55	7	the	the	DET
aiti-15175	55	8	current	current	ADJ
aiti-15175	55	9	tool	tool	NOUN
aiti-15175	55	10	rul	rul	NOUN
aiti-15175	55	11	prediction	prediction	NOUN
aiti-15175	55	12	limitations	limitation	NOUN
aiti-15175	55	13	,	,	PUNCT
aiti-15175	55	14	this	this	DET
aiti-15175	55	15	paper	paper	NOUN
aiti-15175	55	16	proposes	propose	VERB
aiti-15175	55	17	a	a	DET
aiti-15175	55	18	rul	rul	NOUN
aiti-15175	55	19	prediction	prediction	NOUN
aiti-15175	55	20	method	method	NOUN
aiti-15175	55	21	built	build	VERB
aiti-15175	55	22	on	on	ADP
aiti-15175	55	23	a	a	DET
aiti-15175	55	24	fusion	fusion	NOUN
aiti-15175	55	25	approach	approach	NOUN
aiti-15175	55	26	.	.	PUNCT
aiti-15175	56	1	this	this	DET
aiti-15175	56	2	method	method	NOUN
aiti-15175	56	3	aims	aim	VERB
aiti-15175	56	4	to	to	PART
aiti-15175	56	5	address	address	VERB
aiti-15175	56	6	identified	identify	VERB
aiti-15175	56	7	gaps	gap	NOUN
aiti-15175	56	8	,	,	PUNCT
aiti-15175	56	9	and	and	CCONJ
aiti-15175	56	10	the	the	DET
aiti-15175	56	11	main	main	ADJ
aiti-15175	56	12	objectives	objective	NOUN
aiti-15175	56	13	of	of	ADP
aiti-15175	56	14	the	the	DET
aiti-15175	56	15	study	study	NOUN
aiti-15175	56	16	are	be	AUX
aiti-15175	56	17	as	as	SCONJ
aiti-15175	56	18	follows	follow	VERB
aiti-15175	56	19	:	:	PUNCT
aiti-15175	56	20	(	(	PUNCT
aiti-15175	56	21	1	1	X
aiti-15175	56	22	)	)	PUNCT
aiti-15175	56	23	the	the	DET
aiti-15175	56	24	proposed	propose	VERB
aiti-15175	56	25	model	model	NOUN
aiti-15175	56	26	introduces	introduce	VERB
aiti-15175	56	27	the	the	DET
aiti-15175	56	28	multiam	multiam	NOUN
aiti-15175	56	29	and	and	CCONJ
aiti-15175	56	30	enables	enable	VERB
aiti-15175	56	31	parallel	parallel	ADJ
aiti-15175	56	32	computing	computing	NOUN
aiti-15175	56	33	and	and	CCONJ
aiti-15175	56	34	learning	learn	VERB
aiti-15175	56	35	different	different	ADJ
aiti-15175	56	36	subspaces	subspace	NOUN
aiti-15175	56	37	.	.	PUNCT
aiti-15175	57	1	it	it	PRON
aiti-15175	57	2	can	can	AUX
aiti-15175	57	3	dynamically	dynamically	ADV
aiti-15175	57	4	capture	capture	VERB
aiti-15175	57	5	the	the	DET
aiti-15175	57	6	key	key	ADJ
aiti-15175	57	7	information	information	NOUN
aiti-15175	57	8	in	in	ADP
aiti-15175	57	9	the	the	DET
aiti-15175	57	10	input	input	NOUN
aiti-15175	57	11	sequence	sequence	NOUN
aiti-15175	57	12	,	,	PUNCT
aiti-15175	57	13	effectively	effectively	ADV
aiti-15175	57	14	addressing	address	VERB
aiti-15175	57	15	the	the	DET
aiti-15175	57	16	issue	issue	NOUN
aiti-15175	57	17	of	of	ADP
aiti-15175	57	18	information	information	NOUN
aiti-15175	57	19	attenuation	attenuation	NOUN
aiti-15175	57	20	in	in	ADP
aiti-15175	57	21	long	long	ADJ
aiti-15175	57	22	sequences	sequence	NOUN
aiti-15175	57	23	and	and	CCONJ
aiti-15175	57	24	overcoming	overcome	VERB
aiti-15175	57	25	the	the	DET
aiti-15175	57	26	limitations	limitation	NOUN
aiti-15175	57	27	of	of	ADP
aiti-15175	57	28	the	the	DET
aiti-15175	57	29	traditional	traditional	ADJ
aiti-15175	57	30	“	"	PUNCT
aiti-15175	57	31	chain	chain	NOUN
aiti-15175	57	32	propagation	propagation	NOUN
aiti-15175	57	33	”	"	PUNCT
aiti-15175	57	34	approach	approach	NOUN
aiti-15175	57	35	.	.	PUNCT
aiti-15175	58	1	advances	advance	NOUN
aiti-15175	58	2	in	in	ADP
aiti-15175	58	3	technology	technology	NOUN
aiti-15175	58	4	innovation	innovation	NOUN
aiti-15175	58	5	,	,	PUNCT
aiti-15175	58	6	vol	vol	NOUN
aiti-15175	58	7	.	.	PUNCT
aiti-15175	59	1	x	x	X
aiti-15175	59	2	,	,	PUNCT
aiti-15175	59	3	no	no	INTJ
aiti-15175	59	4	.	.	PUNCT
aiti-15175	60	1	x	x	X
aiti-15175	60	2	,	,	PUNCT
aiti-15175	60	3	20xx	20xx	ADJ
aiti-15175	60	4	,	,	PUNCT
aiti-15175	60	5	pp	pp	PROPN
aiti-15175	60	6	.	.	PUNCT
aiti-15175	61	1	xx	xx	X
aiti-15175	61	2	-	-	SYM
aiti-15175	61	3	xx	xx	NUM
aiti-15175	61	4	3	3	NUM
aiti-15175	61	5	(	(	PUNCT
aiti-15175	61	6	2	2	NUM
aiti-15175	61	7	)	)	PUNCT
aiti-15175	61	8	when	when	SCONJ
aiti-15175	61	9	optimizing	optimize	VERB
aiti-15175	61	10	the	the	DET
aiti-15175	61	11	model	model	NOUN
aiti-15175	61	12	using	use	VERB
aiti-15175	61	13	the	the	DET
aiti-15175	61	14	pso	pso	NOUN
aiti-15175	61	15	algorithm	algorithm	NOUN
aiti-15175	61	16	,	,	PUNCT
aiti-15175	61	17	in	in	ADP
aiti-15175	61	18	addition	addition	NOUN
aiti-15175	61	19	to	to	ADP
aiti-15175	61	20	optimizing	optimize	VERB
aiti-15175	61	21	the	the	DET
aiti-15175	61	22	model	model	NOUN
aiti-15175	61	23	learning	learning	NOUN
aiti-15175	61	24	rate	rate	NOUN
aiti-15175	61	25	,	,	PUNCT
aiti-15175	61	26	the	the	DET
aiti-15175	61	27	number	number	NOUN
aiti-15175	61	28	of	of	ADP
aiti-15175	61	29	hidden	hide	VERB
aiti-15175	61	30	layer	layer	NOUN
aiti-15175	61	31	units	unit	NOUN
aiti-15175	61	32	and	and	CCONJ
aiti-15175	61	33	the	the	DET
aiti-15175	61	34	initial	initial	ADJ
aiti-15175	61	35	weights	weight	NOUN
aiti-15175	61	36	of	of	ADP
aiti-15175	61	37	the	the	DET
aiti-15175	61	38	model	model	NOUN
aiti-15175	61	39	are	be	AUX
aiti-15175	61	40	also	also	ADV
aiti-15175	61	41	optimized	optimize	VERB
aiti-15175	61	42	.	.	PUNCT
aiti-15175	62	1	this	this	PRON
aiti-15175	62	2	enables	enable	VERB
aiti-15175	62	3	more	more	ADV
aiti-15175	62	4	comprehensive	comprehensive	ADJ
aiti-15175	62	5	and	and	CCONJ
aiti-15175	62	6	precise	precise	ADJ
aiti-15175	62	7	optimization	optimization	NOUN
aiti-15175	62	8	of	of	ADP
aiti-15175	62	9	key	key	ADJ
aiti-15175	62	10	parameters	parameter	NOUN
aiti-15175	62	11	that	that	PRON
aiti-15175	62	12	impact	impact	VERB
aiti-15175	62	13	bilstm	bilstm	NOUN
aiti-15175	62	14	network	network	NOUN
aiti-15175	62	15	performance	performance	NOUN
aiti-15175	62	16	.	.	PUNCT
aiti-15175	63	1	(	(	PUNCT
aiti-15175	63	2	3	3	X
aiti-15175	63	3	)	)	PUNCT
aiti-15175	63	4	this	this	DET
aiti-15175	63	5	model	model	NOUN
aiti-15175	63	6	dynamically	dynamically	ADV
aiti-15175	63	7	adjusts	adjust	VERB
aiti-15175	63	8	the	the	DET
aiti-15175	63	9	inertia	inertia	NOUN
aiti-15175	63	10	weight	weight	NOUN
aiti-15175	63	11	using	use	VERB
aiti-15175	63	12	a	a	DET
aiti-15175	63	13	nonlinear	nonlinear	ADJ
aiti-15175	63	14	function	function	NOUN
aiti-15175	63	15	,	,	PUNCT
aiti-15175	63	16	thereby	thereby	ADV
aiti-15175	63	17	achieving	achieve	VERB
aiti-15175	63	18	a	a	DET
aiti-15175	63	19	better	well	ADJ
aiti-15175	63	20	balance	balance	NOUN
aiti-15175	63	21	of	of	ADP
aiti-15175	63	22	the	the	DET
aiti-15175	63	23	global	global	ADJ
aiti-15175	63	24	search	search	NOUN
aiti-15175	63	25	capability	capability	NOUN
aiti-15175	63	26	and	and	CCONJ
aiti-15175	63	27	local	local	ADJ
aiti-15175	63	28	search	search	NOUN
aiti-15175	63	29	capability	capability	NOUN
aiti-15175	63	30	of	of	ADP
aiti-15175	63	31	the	the	DET
aiti-15175	63	32	pso	pso	NOUN
aiti-15175	63	33	algorithm	algorithm	NOUN
aiti-15175	63	34	.	.	PUNCT
aiti-15175	64	1	this	this	DET
aiti-15175	64	2	adjustment	adjustment	NOUN
aiti-15175	64	3	optimizes	optimize	VERB
aiti-15175	64	4	the	the	DET
aiti-15175	64	5	initial	initial	ADJ
aiti-15175	64	6	weights	weight	NOUN
aiti-15175	64	7	of	of	ADP
aiti-15175	64	8	the	the	DET
aiti-15175	64	9	algorithm	algorithm	NOUN
aiti-15175	64	10	and	and	CCONJ
aiti-15175	64	11	enhances	enhance	VERB
aiti-15175	64	12	its	its	PRON
aiti-15175	64	13	ability	ability	NOUN
aiti-15175	64	14	to	to	PART
aiti-15175	64	15	locate	locate	VERB
aiti-15175	64	16	the	the	DET
aiti-15175	64	17	global	global	ADJ
aiti-15175	64	18	optimal	optimal	ADJ
aiti-15175	64	19	solution	solution	NOUN
aiti-15175	64	20	during	during	ADP
aiti-15175	64	21	the	the	DET
aiti-15175	64	22	parameter	parameter	NOUN
aiti-15175	64	23	optimization	optimization	NOUN
aiti-15175	64	24	process	process	NOUN
aiti-15175	64	25	.	.	PUNCT
aiti-15175	65	1	the	the	DET
aiti-15175	65	2	subsequent	subsequent	ADJ
aiti-15175	65	3	structure	structure	NOUN
aiti-15175	65	4	of	of	ADP
aiti-15175	65	5	this	this	DET
aiti-15175	65	6	article	article	NOUN
aiti-15175	65	7	is	be	AUX
aiti-15175	65	8	as	as	SCONJ
aiti-15175	65	9	follows	follow	VERB
aiti-15175	65	10	:	:	PUNCT
aiti-15175	65	11	in	in	ADP
aiti-15175	65	12	section	section	NOUN
aiti-15175	65	13	2	2	NUM
aiti-15175	65	14	,	,	PUNCT
aiti-15175	65	15	relevant	relevant	ADJ
aiti-15175	65	16	research	research	NOUN
aiti-15175	65	17	methodologies	methodology	NOUN
aiti-15175	65	18	are	be	AUX
aiti-15175	65	19	introduced	introduce	VERB
aiti-15175	65	20	,	,	PUNCT
aiti-15175	65	21	including	include	VERB
aiti-15175	65	22	fundamental	fundamental	ADJ
aiti-15175	65	23	principles	principle	NOUN
aiti-15175	65	24	of	of	ADP
aiti-15175	65	25	bilstm	bilstm	NOUN
aiti-15175	65	26	,	,	PUNCT
aiti-15175	65	27	pso	pso	NOUN
aiti-15175	65	28	,	,	PUNCT
aiti-15175	65	29	and	and	CCONJ
aiti-15175	65	30	multiam	multiam	PROPN
aiti-15175	65	31	.	.	PUNCT
aiti-15175	66	1	in	in	ADP
aiti-15175	66	2	section	section	NOUN
aiti-15175	66	3	3	3	NUM
aiti-15175	66	4	,	,	PUNCT
aiti-15175	66	5	the	the	DET
aiti-15175	66	6	improved	improved	ADJ
aiti-15175	66	7	pso	pso	NOUN
aiti-15175	66	8	-	-	PUNCT
aiti-15175	66	9	multiam	multiam	NOUN
aiti-15175	66	10	-	-	PUNCT
aiti-15175	66	11	bilstm	bilstm	NOUN
aiti-15175	66	12	model	model	NOUN
aiti-15175	66	13	is	be	AUX
aiti-15175	66	14	presented	present	VERB
aiti-15175	66	15	in	in	ADP
aiti-15175	66	16	detail	detail	NOUN
aiti-15175	66	17	.	.	PUNCT
aiti-15175	67	1	in	in	ADP
aiti-15175	67	2	section	section	NOUN
aiti-15175	67	3	4	4	NUM
aiti-15175	67	4	,	,	PUNCT
aiti-15175	67	5	results	result	NOUN
aiti-15175	67	6	and	and	CCONJ
aiti-15175	67	7	analysis	analysis	NOUN
aiti-15175	67	8	of	of	ADP
aiti-15175	67	9	rul	rul	NOUN
aiti-15175	67	10	prediction	prediction	NOUN
aiti-15175	67	11	are	be	AUX
aiti-15175	67	12	provided	provide	VERB
aiti-15175	67	13	,	,	PUNCT
aiti-15175	67	14	encompassing	encompass	VERB
aiti-15175	67	15	the	the	DET
aiti-15175	67	16	introduction	introduction	NOUN
aiti-15175	67	17	of	of	ADP
aiti-15175	67	18	the	the	DET
aiti-15175	67	19	phm2010	phm2010	NOUN
aiti-15175	67	20	dataset	dataset	NOUN
aiti-15175	67	21	,	,	PUNCT
aiti-15175	67	22	feature	feature	NOUN
aiti-15175	67	23	extraction	extraction	NOUN
aiti-15175	67	24	methods	method	NOUN
aiti-15175	67	25	,	,	PUNCT
aiti-15175	67	26	experimental	experimental	ADJ
aiti-15175	67	27	setups	setup	NOUN
aiti-15175	67	28	,	,	PUNCT
aiti-15175	67	29	and	and	CCONJ
aiti-15175	67	30	a	a	DET
aiti-15175	67	31	comprehensive	comprehensive	ADJ
aiti-15175	67	32	discussion	discussion	NOUN
aiti-15175	67	33	of	of	ADP
aiti-15175	67	34	model	model	NOUN
aiti-15175	67	35	performance	performance	NOUN
aiti-15175	67	36	.	.	PUNCT
aiti-15175	68	1	finally	finally	ADV
aiti-15175	68	2	,	,	PUNCT
aiti-15175	68	3	in	in	ADP
aiti-15175	68	4	section	section	NOUN
aiti-15175	68	5	5	5	NUM
aiti-15175	68	6	,	,	PUNCT
aiti-15175	68	7	the	the	DET
aiti-15175	68	8	conclusion	conclusion	NOUN
aiti-15175	68	9	synthesizes	synthesize	VERB
aiti-15175	68	10	key	key	ADJ
aiti-15175	68	11	findings	finding	NOUN
aiti-15175	68	12	of	of	ADP
aiti-15175	68	13	this	this	DET
aiti-15175	68	14	study	study	NOUN
aiti-15175	68	15	,	,	PUNCT
aiti-15175	68	16	underscores	underscore	VERB
aiti-15175	68	17	the	the	DET
aiti-15175	68	18	advantages	advantage	NOUN
aiti-15175	68	19	of	of	ADP
aiti-15175	68	20	the	the	DET
aiti-15175	68	21	proposed	propose	VERB
aiti-15175	68	22	model	model	NOUN
aiti-15175	68	23	,	,	PUNCT
aiti-15175	68	24	and	and	CCONJ
aiti-15175	68	25	outlines	outline	VERB
aiti-15175	68	26	potential	potential	ADJ
aiti-15175	68	27	directions	direction	NOUN
aiti-15175	68	28	for	for	ADP
aiti-15175	68	29	future	future	ADJ
aiti-15175	68	30	research	research	NOUN
aiti-15175	68	31	.	.	PUNCT
aiti-15175	69	1	2	2	X
aiti-15175	69	2	.	.	X
aiti-15175	69	3	methodology	methodology	NOUN
aiti-15175	69	4	this	this	DET
aiti-15175	69	5	section	section	NOUN
aiti-15175	69	6	introduces	introduce	VERB
aiti-15175	69	7	the	the	DET
aiti-15175	69	8	architecture	architecture	NOUN
aiti-15175	69	9	framework	framework	NOUN
aiti-15175	69	10	of	of	ADP
aiti-15175	69	11	the	the	DET
aiti-15175	69	12	bilstm	bilstm	NOUN
aiti-15175	69	13	neural	neural	ADJ
aiti-15175	69	14	network	network	NOUN
aiti-15175	69	15	and	and	CCONJ
aiti-15175	69	16	the	the	DET
aiti-15175	69	17	multiam	multiam	NOUN
aiti-15175	69	18	,	,	PUNCT
aiti-15175	69	19	focusing	focus	VERB
aiti-15175	69	20	on	on	ADP
aiti-15175	69	21	the	the	DET
aiti-15175	69	22	core	core	ADJ
aiti-15175	69	23	components	component	NOUN
aiti-15175	69	24	of	of	ADP
aiti-15175	69	25	these	these	DET
aiti-15175	69	26	systems	system	NOUN
aiti-15175	69	27	and	and	CCONJ
aiti-15175	69	28	their	their	PRON
aiti-15175	69	29	basic	basic	ADJ
aiti-15175	69	30	operation	operation	NOUN
aiti-15175	69	31	mechanisms	mechanism	NOUN
aiti-15175	69	32	.	.	PUNCT
aiti-15175	70	1	additionally	additionally	ADV
aiti-15175	70	2	,	,	PUNCT
aiti-15175	70	3	the	the	DET
aiti-15175	70	4	optimization	optimization	NOUN
aiti-15175	70	5	workflow	workflow	NOUN
aiti-15175	70	6	of	of	ADP
aiti-15175	70	7	the	the	DET
aiti-15175	70	8	pso	pso	NOUN
aiti-15175	70	9	algorithm	algorithm	NOUN
aiti-15175	70	10	is	be	AUX
aiti-15175	70	11	also	also	ADV
aiti-15175	70	12	presented	present	VERB
aiti-15175	70	13	.	.	PUNCT
aiti-15175	71	1	2.1	2.1	NUM
aiti-15175	71	2	.	.	PUNCT
aiti-15175	71	3	bilstm	bilstm	NOUN
aiti-15175	71	4	neural	neural	ADJ
aiti-15175	71	5	networks	network	NOUN
aiti-15175	71	6	lstm	lstm	NOUN
aiti-15175	71	7	can	can	AUX
aiti-15175	71	8	effectively	effectively	ADV
aiti-15175	71	9	capture	capture	VERB
aiti-15175	71	10	long	long	ADJ
aiti-15175	71	11	-	-	PUNCT
aiti-15175	71	12	range	range	NOUN
aiti-15175	71	13	sequential	sequential	ADJ
aiti-15175	71	14	dependencies	dependency	NOUN
aiti-15175	71	15	and	and	CCONJ
aiti-15175	71	16	is	be	AUX
aiti-15175	71	17	widely	widely	ADV
aiti-15175	71	18	used	use	VERB
aiti-15175	71	19	in	in	ADP
aiti-15175	71	20	tool	tool	NOUN
aiti-15175	71	21	life	life	NOUN
aiti-15175	71	22	prediction	prediction	NOUN
aiti-15175	71	23	.	.	PUNCT
aiti-15175	72	1	the	the	DET
aiti-15175	72	2	key	key	ADJ
aiti-15175	72	3	components	component	NOUN
aiti-15175	72	4	of	of	ADP
aiti-15175	72	5	lstm	lstm	NOUN
aiti-15175	72	6	entail	entail	VERB
aiti-15175	72	7	the	the	DET
aiti-15175	72	8	cell	cell	NOUN
aiti-15175	72	9	state	state	NOUN
aiti-15175	72	10	and	and	CCONJ
aiti-15175	72	11	several	several	ADJ
aiti-15175	72	12	gating	gate	VERB
aiti-15175	72	13	mechanisms	mechanism	NOUN
aiti-15175	72	14	,	,	PUNCT
aiti-15175	72	15	including	include	VERB
aiti-15175	72	16	the	the	DET
aiti-15175	72	17	forget	forget	NOUN
aiti-15175	72	18	gate	gate	NOUN
aiti-15175	72	19	,	,	PUNCT
aiti-15175	72	20	input	input	NOUN
aiti-15175	72	21	gate	gate	NOUN
aiti-15175	72	22	,	,	PUNCT
aiti-15175	72	23	and	and	CCONJ
aiti-15175	72	24	output	output	NOUN
aiti-15175	72	25	gate	gate	NOUN
aiti-15175	72	26	.	.	PUNCT
aiti-15175	73	1	these	these	DET
aiti-15175	73	2	gating	gate	VERB
aiti-15175	73	3	mechanisms	mechanism	NOUN
aiti-15175	73	4	employ	employ	VERB
aiti-15175	73	5	a	a	DET
aiti-15175	73	6	sigmoid	sigmoid	NOUN
aiti-15175	73	7	function	function	NOUN
aiti-15175	73	8	to	to	PART
aiti-15175	73	9	regulate	regulate	VERB
aiti-15175	73	10	the	the	DET
aiti-15175	73	11	flow	flow	NOUN
aiti-15175	73	12	of	of	ADP
aiti-15175	73	13	information	information	NOUN
aiti-15175	73	14	.	.	PUNCT
aiti-15175	74	1	the	the	DET
aiti-15175	74	2	specific	specific	ADJ
aiti-15175	74	3	parameter	parameter	NOUN
aiti-15175	74	4	update	update	NOUN
aiti-15175	74	5	calculation	calculation	NOUN
aiti-15175	74	6	steps	step	NOUN
aiti-15175	74	7	are	be	AUX
aiti-15175	74	8	as	as	SCONJ
aiti-15175	74	9	follows	follow	VERB
aiti-15175	74	10	:	:	PUNCT
aiti-15175	74	11	(	(	PUNCT
aiti-15175	74	12	1	1	X
aiti-15175	74	13	)	)	PUNCT
aiti-15175	74	14	calculate	calculate	NOUN
aiti-15175	74	15	the	the	DET
aiti-15175	74	16	forget	forget	NOUN
aiti-15175	74	17	gate	gate	NOUN
aiti-15175	74	18	ft	ft	PROPN
aiti-15175	74	19	and	and	CCONJ
aiti-15175	74	20	select	select	VERB
aiti-15175	74	21	the	the	DET
aiti-15175	74	22	information	information	NOUN
aiti-15175	74	23	to	to	PART
aiti-15175	74	24	be	be	AUX
aiti-15175	74	25	forgotten	forget	VERB
aiti-15175	74	26	:	:	PUNCT
aiti-15175	74	27	[	[	PUNCT
aiti-15175	74	28	]	]	X
aiti-15175	74	29	(	(	PUNCT
aiti-15175	74	30	)	)	PUNCT
aiti-15175	74	31	1	1	NUM
aiti-15175	74	32	,	,	PUNCT
aiti-15175	74	33	σ	σ	NOUN
aiti-15175	74	34	−	−	NOUN
aiti-15175	75	1	=	=	SYM
aiti-15175	75	2	×	×	PROPN
aiti-15175	76	1	+	+	NOUN
aiti-15175	76	2	t	t	X
aiti-15175	76	3	t	t	NOUN
aiti-15175	76	4	tf	tf	INTJ
aiti-15175	76	5	ff	ff	INTJ
aiti-15175	76	6	w	w	PROPN
aiti-15175	76	7	h	h	PROPN
aiti-15175	76	8	x	x	PROPN
aiti-15175	76	9	b	b	X
aiti-15175	76	10	(	(	PUNCT
aiti-15175	76	11	1	1	NUM
aiti-15175	76	12	)	)	PUNCT
aiti-15175	76	13	[	[	PUNCT
aiti-15175	76	14	]	]	X
aiti-15175	76	15	(	(	PUNCT
aiti-15175	76	16	)	)	PUNCT
aiti-15175	76	17	1	1	NUM
aiti-15175	76	18	,	,	PUNCT
aiti-15175	76	19	σ	σ	NOUN
aiti-15175	76	20	−	−	NOUN
aiti-15175	77	1	=	=	SYM
aiti-15175	77	2	×	×	PROPN
aiti-15175	78	1	+	+	NOUN
aiti-15175	78	2	t	t	X
aiti-15175	79	1	i	i	PRON
aiti-15175	79	2	t	t	PROPN
aiti-15175	79	3	t	t	PROPN
aiti-15175	79	4	ii	ii	PROPN
aiti-15175	79	5	w	w	PROPN
aiti-15175	79	6	h	h	PROPN
aiti-15175	79	7	x	x	PROPN
aiti-15175	79	8	b	b	X
aiti-15175	79	9	(	(	PUNCT
aiti-15175	79	10	2	2	NUM
aiti-15175	79	11	)	)	PUNCT
aiti-15175	79	12	(	(	PUNCT
aiti-15175	79	13	2	2	X
aiti-15175	79	14	)	)	PUNCT
aiti-15175	79	15	update	update	VERB
aiti-15175	79	16	the	the	DET
aiti-15175	79	17	unit	unit	NOUN
aiti-15175	79	18	status	status	NOUN
aiti-15175	79	19	:	:	PUNCT
aiti-15175	79	20	[	[	PUNCT
aiti-15175	79	21	]	]	X
aiti-15175	79	22	(	(	PUNCT
aiti-15175	79	23	)	)	PUNCT
aiti-15175	79	24	1tanh	1tanh	NUM
aiti-15175	79	25	,	,	PUNCT
aiti-15175	79	26	−	−	PROPN
aiti-15175	80	1	=	=	SYM
aiti-15175	80	2	×	×	PROPN
aiti-15175	80	3	+	+	NOUN
aiti-15175	80	4	ɶ	ɶ	NOUN
aiti-15175	80	5	c	c	NOUN
aiti-15175	80	6	ct	ct	PROPN
aiti-15175	80	7	t	t	PROPN
aiti-15175	80	8	tc	tc	NUM
aiti-15175	81	1	w	w	PROPN
aiti-15175	81	2	h	h	NOUN
aiti-15175	81	3	x	x	PROPN
aiti-15175	81	4	b	b	X
aiti-15175	81	5	(	(	PUNCT
aiti-15175	81	6	3	3	NUM
aiti-15175	81	7	)	)	PUNCT
aiti-15175	81	8	(	(	PUNCT
aiti-15175	81	9	3	3	X
aiti-15175	81	10	)	)	PUNCT
aiti-15175	81	11	calculate	calculate	VERB
aiti-15175	81	12	the	the	DET
aiti-15175	81	13	value	value	NOUN
aiti-15175	81	14	of	of	ADP
aiti-15175	81	15	the	the	DET
aiti-15175	81	16	candidate	candidate	NOUN
aiti-15175	81	17	memory	memory	NOUN
aiti-15175	81	18	cell	cell	NOUN
aiti-15175	81	19	at	at	ADP
aiti-15175	81	20	the	the	DET
aiti-15175	81	21	current	current	ADJ
aiti-15175	81	22	moment	moment	NOUN
aiti-15175	82	1	ct	ct	INTJ
aiti-15175	82	2	:	:	PUNCT
aiti-15175	83	1	1−	1−	NUM
aiti-15175	83	2	=	=	SYM
aiti-15175	83	3	×	×	NOUN
aiti-15175	83	4	+	+	CCONJ
aiti-15175	83	5	×	×	NOUN
aiti-15175	83	6	ɶt	ɶt	PROPN
aiti-15175	83	7	t	t	PROPN
aiti-15175	83	8	t	t	PROPN
aiti-15175	83	9	t	t	PROPN
aiti-15175	84	1	tc	tc	NOUN
aiti-15175	84	2	f	f	PROPN
aiti-15175	85	1	c	c	NOUN
aiti-15175	85	2	i	i	PRON
aiti-15175	85	3	c	c	NOUN
aiti-15175	85	4	(	(	PUNCT
aiti-15175	85	5	4	4	NUM
aiti-15175	85	6	)	)	PUNCT
aiti-15175	85	7	(	(	PUNCT
aiti-15175	85	8	4	4	X
aiti-15175	85	9	)	)	PUNCT
aiti-15175	85	10	compute	compute	VERB
aiti-15175	85	11	the	the	DET
aiti-15175	85	12	output	output	NOUN
aiti-15175	85	13	gate	gate	NOUN
aiti-15175	85	14	ot	ot	NOUN
aiti-15175	85	15	and	and	CCONJ
aiti-15175	85	16	the	the	DET
aiti-15175	85	17	hidden	hide	VERB
aiti-15175	85	18	layer	layer	NOUN
aiti-15175	85	19	state	state	NOUN
aiti-15175	85	20	at	at	ADP
aiti-15175	85	21	the	the	DET
aiti-15175	85	22	current	current	ADJ
aiti-15175	85	23	moment	moment	NOUN
aiti-15175	86	1	ht	ht	INTJ
aiti-15175	86	2	:	:	PUNCT
aiti-15175	86	3	[	[	PUNCT
aiti-15175	86	4	]	]	X
aiti-15175	86	5	(	(	PUNCT
aiti-15175	86	6	)	)	PUNCT
aiti-15175	86	7	1	1	NUM
aiti-15175	86	8	,	,	PUNCT
aiti-15175	86	9	σ	σ	NOUN
aiti-15175	86	10	−	−	NOUN
aiti-15175	87	1	=	=	SYM
aiti-15175	87	2	×	×	PROPN
aiti-15175	88	1	+	+	NOUN
aiti-15175	88	2	t	t	X
aiti-15175	88	3	o	o	X
aiti-15175	88	4	t	t	NOUN
aiti-15175	88	5	t	t	X
aiti-15175	89	1	oo	oo	INTJ
aiti-15175	89	2	w	w	PROPN
aiti-15175	89	3	h	h	NOUN
aiti-15175	89	4	x	x	SYM
aiti-15175	89	5	b	b	X
aiti-15175	89	6	(	(	PUNCT
aiti-15175	89	7	5	5	NUM
aiti-15175	89	8	)	)	PUNCT
aiti-15175	89	9	(	(	PUNCT
aiti-15175	89	10	)	)	PUNCT
aiti-15175	89	11	tanh=	tanh=	NOUN
aiti-15175	89	12	×t	×t	NOUN
aiti-15175	89	13	t	t	X
aiti-15175	89	14	th	th	X
aiti-15175	89	15	o	o	X
aiti-15175	89	16	c	c	X
aiti-15175	89	17	(	(	PUNCT
aiti-15175	89	18	6	6	NUM
aiti-15175	89	19	)	)	PUNCT
aiti-15175	89	20	where	where	SCONJ
aiti-15175	89	21	wf	wf	PROPN
aiti-15175	89	22	and	and	CCONJ
aiti-15175	89	23	wi	wi	PROPN
aiti-15175	89	24	are	be	AUX
aiti-15175	89	25	the	the	DET
aiti-15175	89	26	corresponding	corresponding	ADJ
aiti-15175	89	27	connection	connection	NOUN
aiti-15175	89	28	weight	weight	NOUN
aiti-15175	89	29	matrices	matrix	NOUN
aiti-15175	89	30	;	;	PUNCT
aiti-15175	89	31	bf	bf	NOUN
aiti-15175	89	32	,	,	PUNCT
aiti-15175	89	33	bi	bi	NOUN
aiti-15175	89	34	and	and	CCONJ
aiti-15175	89	35	bc	bc	PROPN
aiti-15175	89	36	are	be	AUX
aiti-15175	89	37	the	the	DET
aiti-15175	89	38	bias	bias	NOUN
aiti-15175	89	39	vectors	vector	NOUN
aiti-15175	89	40	;	;	PUNCT
aiti-15175	89	41	xt	xt	X
aiti-15175	89	42	is	be	AUX
aiti-15175	89	43	the	the	DET
aiti-15175	89	44	input	input	NOUN
aiti-15175	89	45	data	datum	NOUN
aiti-15175	89	46	at	at	ADP
aiti-15175	89	47	the	the	DET
aiti-15175	89	48	current	current	ADJ
aiti-15175	89	49	moment	moment	NOUN
aiti-15175	89	50	;	;	PUNCT
aiti-15175	89	51	ht-1	ht-1	PUNCT
aiti-15175	89	52	is	be	AUX
aiti-15175	89	53	the	the	DET
aiti-15175	89	54	hidden	hide	VERB
aiti-15175	89	55	layer	layer	NOUN
aiti-15175	89	56	value	value	NOUN
aiti-15175	89	57	at	at	ADP
aiti-15175	89	58	the	the	DET
aiti-15175	89	59	previous	previous	ADJ
aiti-15175	89	60	moment	moment	NOUN
aiti-15175	89	61	;	;	PUNCT
aiti-15175	89	62	σ	σ	X
aiti-15175	89	63	is	be	AUX
aiti-15175	89	64	the	the	DET
aiti-15175	89	65	sigmoid	sigmoid	NOUN
aiti-15175	89	66	activation	activation	NOUN
aiti-15175	89	67	function	function	NOUN
aiti-15175	89	68	and	and	CCONJ
aiti-15175	89	69	the	the	DET
aiti-15175	89	70	value	value	NOUN
aiti-15175	89	71	interval	interval	NOUN
aiti-15175	89	72	is	be	AUX
aiti-15175	89	73	[	[	X
aiti-15175	89	74	0,1	0,1	NUM
aiti-15175	89	75	]	]	PUNCT
aiti-15175	89	76	;	;	PUNCT
aiti-15175	89	77	ct-1	ct-1	PUNCT
aiti-15175	89	78	is	be	AUX
aiti-15175	89	79	the	the	DET
aiti-15175	89	80	last	last	ADJ
aiti-15175	89	81	moment	moment	NOUN
aiti-15175	89	82	cell	cell	NOUN
aiti-15175	89	83	state	state	NOUN
aiti-15175	89	84	;	;	PUNCT
aiti-15175	89	85	ct	ct	PROPN
aiti-15175	89	86	is	be	AUX
aiti-15175	89	87	the	the	DET
aiti-15175	89	88	current	current	ADJ
aiti-15175	89	89	cell	cell	NOUN
aiti-15175	89	90	state	state	NOUN
aiti-15175	89	91	;	;	PUNCT
aiti-15175	89	92	and	and	CCONJ
aiti-15175	89	93	�	�	PROPN
aiti-15175	89	94	�	�	PROPN
aiti-15175	89	95	�	�	PROPN
aiti-15175	89	96	is	be	AUX
aiti-15175	89	97	the	the	DET
aiti-15175	89	98	temporary	temporary	ADJ
aiti-15175	89	99	cell	cell	NOUN
aiti-15175	89	100	candidate	candidate	NOUN
aiti-15175	89	101	value	value	NOUN
aiti-15175	89	102	.	.	PUNCT
aiti-15175	90	1	advances	advance	NOUN
aiti-15175	90	2	in	in	ADP
aiti-15175	90	3	technology	technology	NOUN
aiti-15175	90	4	innovation	innovation	NOUN
aiti-15175	90	5	,	,	PUNCT
aiti-15175	90	6	vol	vol	NOUN
aiti-15175	90	7	.	.	PUNCT
aiti-15175	91	1	x	x	X
aiti-15175	91	2	,	,	PUNCT
aiti-15175	91	3	no	no	INTJ
aiti-15175	91	4	.	.	PUNCT
aiti-15175	92	1	x	x	X
aiti-15175	92	2	,	,	PUNCT
aiti-15175	92	3	20xx	20xx	ADJ
aiti-15175	92	4	,	,	PUNCT
aiti-15175	92	5	pp	pp	PROPN
aiti-15175	92	6	.	.	PUNCT
aiti-15175	93	1	xx	xx	X
aiti-15175	93	2	-	-	SYM
aiti-15175	93	3	xx	xx	NUM
aiti-15175	93	4	4	4	NUM
aiti-15175	93	5	despite	despite	SCONJ
aiti-15175	93	6	its	its	PRON
aiti-15175	93	7	ability	ability	NOUN
aiti-15175	93	8	to	to	PART
aiti-15175	93	9	address	address	VERB
aiti-15175	93	10	the	the	DET
aiti-15175	93	11	long	long	ADJ
aiti-15175	93	12	-	-	PUNCT
aiti-15175	93	13	term	term	NOUN
aiti-15175	93	14	dependency	dependency	NOUN
aiti-15175	93	15	problem	problem	NOUN
aiti-15175	93	16	,	,	PUNCT
aiti-15175	93	17	lstm	lstm	NOUN
aiti-15175	93	18	utilizes	utilize	VERB
aiti-15175	93	19	only	only	ADV
aiti-15175	93	20	the	the	DET
aiti-15175	93	21	past	past	ADJ
aiti-15175	93	22	information	information	NOUN
aiti-15175	93	23	of	of	ADP
aiti-15175	93	24	time	time	NOUN
aiti-15175	93	25	-	-	PUNCT
aiti-15175	93	26	series	series	NOUN
aiti-15175	93	27	data	datum	NOUN
aiti-15175	93	28	while	while	SCONJ
aiti-15175	93	29	ignoring	ignore	VERB
aiti-15175	93	30	future	future	ADJ
aiti-15175	93	31	information	information	NOUN
aiti-15175	93	32	.	.	PUNCT
aiti-15175	94	1	the	the	DET
aiti-15175	94	2	bilstm	bilstm	NOUN
aiti-15175	94	3	extends	extend	VERB
aiti-15175	94	4	the	the	DET
aiti-15175	94	5	capability	capability	NOUN
aiti-15175	94	6	of	of	ADP
aiti-15175	94	7	lstm	lstm	NOUN
aiti-15175	94	8	,	,	PUNCT
aiti-15175	94	9	which	which	PRON
aiti-15175	94	10	can	can	AUX
aiti-15175	94	11	handle	handle	VERB
aiti-15175	94	12	multivariate	multivariate	NOUN
aiti-15175	94	13	time	time	NOUN
aiti-15175	94	14	-	-	PUNCT
aiti-15175	94	15	series	series	NOUN
aiti-15175	94	16	data	datum	NOUN
aiti-15175	94	17	by	by	ADP
aiti-15175	94	18	simultaneously	simultaneously	ADV
aiti-15175	94	19	considering	consider	VERB
aiti-15175	94	20	both	both	CCONJ
aiti-15175	94	21	forward	forward	ADJ
aiti-15175	94	22	and	and	CCONJ
aiti-15175	94	23	backward	backward	ADJ
aiti-15175	94	24	information	information	NOUN
aiti-15175	94	25	of	of	ADP
aiti-15175	94	26	the	the	DET
aiti-15175	94	27	series	series	NOUN
aiti-15175	94	28	,	,	PUNCT
aiti-15175	94	29	along	along	ADP
aiti-15175	94	30	with	with	ADP
aiti-15175	94	31	the	the	DET
aiti-15175	94	32	effects	effect	NOUN
aiti-15175	94	33	of	of	ADP
aiti-15175	94	34	multiple	multiple	ADJ
aiti-15175	94	35	influencing	influence	VERB
aiti-15175	94	36	factors	factor	NOUN
aiti-15175	94	37	on	on	ADP
aiti-15175	94	38	the	the	DET
aiti-15175	94	39	prediction	prediction	NOUN
aiti-15175	94	40	results	result	NOUN
aiti-15175	94	41	.	.	PUNCT
aiti-15175	95	1	as	as	ADP
aiti-15175	95	2	such	such	ADJ
aiti-15175	95	3	,	,	PUNCT
aiti-15175	95	4	it	it	PRON
aiti-15175	95	5	is	be	AUX
aiti-15175	95	6	suitable	suitable	ADJ
aiti-15175	95	7	for	for	ADP
aiti-15175	95	8	multivariate	multivariate	NOUN
aiti-15175	95	9	time	time	NOUN
aiti-15175	95	10	-	-	PUNCT
aiti-15175	95	11	series	series	NOUN
aiti-15175	95	12	data	datum	NOUN
aiti-15175	95	13	in	in	ADP
aiti-15175	95	14	the	the	DET
aiti-15175	95	15	tool	tool	NOUN
aiti-15175	95	16	cutting	cut	VERB
aiti-15175	95	17	process	process	NOUN
aiti-15175	95	18	,	,	PUNCT
aiti-15175	95	19	and	and	CCONJ
aiti-15175	95	20	its	its	PRON
aiti-15175	95	21	structure	structure	NOUN
aiti-15175	95	22	is	be	AUX
aiti-15175	95	23	shown	show	VERB
aiti-15175	95	24	in	in	ADP
aiti-15175	95	25	fig	fig	NOUN
aiti-15175	95	26	.	.	PUNCT
aiti-15175	96	1	1	1	X
aiti-15175	96	2	.	.	X
aiti-15175	96	3	fig	fig	NOUN
aiti-15175	96	4	.	.	PUNCT
aiti-15175	97	1	1	1	NUM
aiti-15175	97	2	structure	structure	NOUN
aiti-15175	97	3	of	of	ADP
aiti-15175	97	4	bilstm	bilstm	NOUN
aiti-15175	97	5	2.2	2.2	NUM
aiti-15175	97	6	.	.	PUNCT
aiti-15175	98	1	pso	pso	NOUN
aiti-15175	98	2	algorithm	algorithm	NOUN
aiti-15175	98	3	the	the	DET
aiti-15175	98	4	pso	pso	NOUN
aiti-15175	98	5	algorithm	algorithm	NOUN
aiti-15175	98	6	is	be	AUX
aiti-15175	98	7	a	a	DET
aiti-15175	98	8	swarm	swarm	NOUN
aiti-15175	98	9	intelligence	intelligence	NOUN
aiti-15175	98	10	-	-	PUNCT
aiti-15175	98	11	based	base	VERB
aiti-15175	98	12	optimization	optimization	NOUN
aiti-15175	98	13	algorithm	algorithm	NOUN
aiti-15175	98	14	that	that	PRON
aiti-15175	98	15	finds	find	VERB
aiti-15175	98	16	more	more	ADV
aiti-15175	98	17	accurate	accurate	ADJ
aiti-15175	98	18	results	result	NOUN
aiti-15175	98	19	through	through	ADP
aiti-15175	98	20	the	the	DET
aiti-15175	98	21	iterative	iterative	ADJ
aiti-15175	98	22	evolution	evolution	NOUN
aiti-15175	98	23	of	of	ADP
aiti-15175	98	24	the	the	DET
aiti-15175	98	25	current	current	ADJ
aiti-15175	98	26	solution	solution	NOUN
aiti-15175	98	27	[	[	X
aiti-15175	98	28	15	15	NUM
aiti-15175	98	29	]	]	PUNCT
aiti-15175	98	30	.	.	PUNCT
aiti-15175	99	1	pso	pso	NOUN
aiti-15175	99	2	can	can	AUX
aiti-15175	99	3	expeditiously	expeditiously	ADV
aiti-15175	99	4	converge	converge	VERB
aiti-15175	99	5	and	and	CCONJ
aiti-15175	99	6	find	find	VERB
aiti-15175	99	7	high	high	ADJ
aiti-15175	99	8	-	-	PUNCT
aiti-15175	99	9	quality	quality	NOUN
aiti-15175	99	10	solutions	solution	NOUN
aiti-15175	99	11	in	in	ADP
aiti-15175	99	12	a	a	DET
aiti-15175	99	13	shorter	short	ADJ
aiti-15175	99	14	period	period	NOUN
aiti-15175	99	15	.	.	PUNCT
aiti-15175	100	1	therefore	therefore	ADV
aiti-15175	100	2	,	,	PUNCT
aiti-15175	100	3	it	it	PRON
aiti-15175	100	4	is	be	AUX
aiti-15175	100	5	widely	widely	ADV
aiti-15175	100	6	used	use	VERB
aiti-15175	100	7	in	in	ADP
aiti-15175	100	8	the	the	DET
aiti-15175	100	9	fields	field	NOUN
aiti-15175	100	10	of	of	ADP
aiti-15175	100	11	hyperparameter	hyperparameter	NOUN
aiti-15175	100	12	optimization	optimization	NOUN
aiti-15175	100	13	,	,	PUNCT
aiti-15175	100	14	feature	feature	NOUN
aiti-15175	100	15	selection	selection	NOUN
aiti-15175	100	16	,	,	PUNCT
aiti-15175	100	17	and	and	CCONJ
aiti-15175	100	18	neural	neural	ADJ
aiti-15175	100	19	network	network	NOUN
aiti-15175	100	20	training	training	NOUN
aiti-15175	100	21	.	.	PUNCT
aiti-15175	101	1	the	the	DET
aiti-15175	101	2	specific	specific	ADJ
aiti-15175	101	3	steps	step	NOUN
aiti-15175	101	4	in	in	ADP
aiti-15175	101	5	the	the	DET
aiti-15175	101	6	process	process	NOUN
aiti-15175	101	7	of	of	ADP
aiti-15175	101	8	the	the	DET
aiti-15175	101	9	pso	pso	NOUN
aiti-15175	101	10	algorithm	algorithm	NOUN
aiti-15175	101	11	search	search	NOUN
aiti-15175	101	12	are	be	AUX
aiti-15175	101	13	as	as	SCONJ
aiti-15175	101	14	follows	follow	VERB
aiti-15175	101	15	:	:	PUNCT
aiti-15175	101	16	(	(	PUNCT
aiti-15175	101	17	1	1	X
aiti-15175	101	18	)	)	PUNCT
aiti-15175	101	19	initialize	initialize	VERB
aiti-15175	101	20	the	the	DET
aiti-15175	101	21	pso	pso	NOUN
aiti-15175	101	22	algorithm	algorithm	NOUN
aiti-15175	101	23	,	,	PUNCT
aiti-15175	101	24	including	include	VERB
aiti-15175	101	25	the	the	DET
aiti-15175	101	26	population	population	NOUN
aiti-15175	101	27	size	size	NOUN
aiti-15175	101	28	n	n	CCONJ
aiti-15175	101	29	,	,	PUNCT
aiti-15175	101	30	the	the	DET
aiti-15175	101	31	end	end	NOUN
aiti-15175	101	32	time	time	NOUN
aiti-15175	101	33	,	,	PUNCT
aiti-15175	101	34	and	and	CCONJ
aiti-15175	101	35	other	other	ADJ
aiti-15175	101	36	parameters	parameter	NOUN
aiti-15175	101	37	.	.	PUNCT
aiti-15175	102	1	subsequently	subsequently	ADV
aiti-15175	102	2	,	,	PUNCT
aiti-15175	102	3	determine	determine	VERB
aiti-15175	102	4	the	the	DET
aiti-15175	102	5	velocity	velocity	NOUN
aiti-15175	102	6	vi	vi	NOUN
aiti-15175	102	7	and	and	CCONJ
aiti-15175	102	8	position	position	NOUN
aiti-15175	102	9	xi	xi	ADP
aiti-15175	102	10	of	of	ADP
aiti-15175	102	11	each	each	DET
aiti-15175	102	12	particle	particle	NOUN
aiti-15175	102	13	i	i	PRON
aiti-15175	102	14	based	base	VERB
aiti-15175	102	15	on	on	ADP
aiti-15175	102	16	these	these	DET
aiti-15175	102	17	factors	factor	NOUN
aiti-15175	102	18	:	:	PUNCT
aiti-15175	102	19	(	(	PUNCT
aiti-15175	102	20	)	)	PUNCT
aiti-15175	102	21	1	1	NUM
aiti-15175	102	22	2	2	NUM
aiti-15175	102	23	,	,	PUNCT
aiti-15175	102	24	,	,	PUNCT
aiti-15175	102	25	,	,	PUNCT
aiti-15175	102	26	,	,	PUNCT
aiti-15175	102	27	1	1	NUM
aiti-15175	102	28	,	,	PUNCT
aiti-15175	102	29	2	2	NUM
aiti-15175	102	30	,	,	PUNCT
aiti-15175	102	31	,	,	PUNCT
aiti-15175	102	32	=	=	PUNCT
aiti-15175	102	33	=	=	SYM
aiti-15175	102	34	…	…	PUNCT
aiti-15175	102	35	…	…	PUNCT
aiti-15175	102	36	di	di	INTJ
aiti-15175	103	1	i	i	PRON
aiti-15175	103	2	i	i	PRON
aiti-15175	103	3	iv	iv	VERB
aiti-15175	103	4	v	v	NUM
aiti-15175	103	5	v	v	NUM
aiti-15175	103	6	v	v	NOUN
aiti-15175	103	7	i	i	PRON
aiti-15175	103	8	n	n	PROPN
aiti-15175	103	9	(	(	PUNCT
aiti-15175	103	10	7	7	NUM
aiti-15175	103	11	)	)	PUNCT
aiti-15175	103	12	(	(	PUNCT
aiti-15175	103	13	)	)	PUNCT
aiti-15175	103	14	1	1	NUM
aiti-15175	103	15	2	2	NUM
aiti-15175	103	16	,	,	PUNCT
aiti-15175	103	17	,	,	PUNCT
aiti-15175	103	18	,	,	PUNCT
aiti-15175	103	19	,	,	PUNCT
aiti-15175	103	20	1	1	NUM
aiti-15175	103	21	,	,	PUNCT
aiti-15175	103	22	2	2	NUM
aiti-15175	103	23	,	,	PUNCT
aiti-15175	103	24	,	,	PUNCT
aiti-15175	103	25	=	=	PUNCT
aiti-15175	103	26	=	=	SYM
aiti-15175	103	27	…	…	PUNCT
aiti-15175	103	28	…	…	PUNCT
aiti-15175	103	29	di	di	INTJ
aiti-15175	104	1	i	i	PRON
aiti-15175	105	1	i	i	PRON
aiti-15175	105	2	ix	ix	ADV
aiti-15175	105	3	x	x	PUNCT
aiti-15175	105	4	x	x	PUNCT
aiti-15175	105	5	x	x	VERB
aiti-15175	105	6	i	i	PRON
aiti-15175	105	7	n	n	PROPN
aiti-15175	105	8	(	(	PUNCT
aiti-15175	105	9	8)	8)	NUM
aiti-15175	105	10	(	(	PUNCT
aiti-15175	105	11	2	2	NUM
aiti-15175	105	12	)	)	PUNCT
aiti-15175	105	13	evaluate	evaluate	VERB
aiti-15175	105	14	the	the	DET
aiti-15175	105	15	fitness	fitness	NOUN
aiti-15175	105	16	of	of	ADP
aiti-15175	105	17	each	each	DET
aiti-15175	105	18	particle	particle	NOUN
aiti-15175	105	19	using	use	VERB
aiti-15175	105	20	the	the	DET
aiti-15175	105	21	objective	objective	ADJ
aiti-15175	105	22	function	function	NOUN
aiti-15175	105	23	f[i	f[i	PROPN
aiti-15175	105	24	]	]	X
aiti-15175	105	25	;	;	PUNCT
aiti-15175	105	26	(	(	PUNCT
aiti-15175	105	27	3	3	X
aiti-15175	105	28	)	)	PUNCT
aiti-15175	105	29	update	update	VERB
aiti-15175	105	30	the	the	DET
aiti-15175	105	31	individual	individual	ADJ
aiti-15175	105	32	optimal	optimal	ADJ
aiti-15175	105	33	solution	solution	NOUN
aiti-15175	105	34	and	and	CCONJ
aiti-15175	105	35	the	the	DET
aiti-15175	105	36	global	global	ADJ
aiti-15175	105	37	optimal	optimal	ADJ
aiti-15175	105	38	solution	solution	NOUN
aiti-15175	105	39	according	accord	VERB
aiti-15175	105	40	to	to	ADP
aiti-15175	105	41	the	the	DET
aiti-15175	105	42	following	following	ADJ
aiti-15175	105	43	equations	equation	NOUN
aiti-15175	105	44	:	:	PUNCT
aiti-15175	105	45	(	(	PUNCT
aiti-15175	105	46	)	)	PUNCT
aiti-15175	105	47	1	1	NUM
aiti-15175	105	48	2	2	NUM
aiti-15175	105	49	,	,	PUNCT
aiti-15175	105	50	,	,	PUNCT
aiti-15175	105	51	,	,	PUNCT
aiti-15175	105	52	,	,	PUNCT
aiti-15175	105	53	1	1	NUM
aiti-15175	105	54	,	,	PUNCT
aiti-15175	105	55	2	2	NUM
aiti-15175	105	56	,	,	PUNCT
aiti-15175	105	57	,	,	PUNCT
aiti-15175	105	58	=	=	PUNCT
aiti-15175	105	59	=	=	SYM
aiti-15175	105	60	…	…	PUNCT
aiti-15175	105	61	…	…	PUNCT
aiti-15175	105	62	di	di	NOUN
aiti-15175	105	63	i	i	PRON
aiti-15175	105	64	ibestp	ibestp	VERB
aiti-15175	105	65	p	p	NOUN
aiti-15175	106	1	p	p	X
aiti-15175	106	2	p	p	X
aiti-15175	106	3	i	i	PRON
aiti-15175	106	4	n	n	PROPN
aiti-15175	106	5	(	(	PUNCT
aiti-15175	106	6	9	9	NUM
aiti-15175	106	7	)	)	PUNCT
aiti-15175	106	8	(	(	PUNCT
aiti-15175	106	9	)	)	PUNCT
aiti-15175	106	10	1	1	NUM
aiti-15175	106	11	2	2	NUM
aiti-15175	106	12	,	,	PUNCT
aiti-15175	106	13	,	,	PUNCT
aiti-15175	106	14	,	,	PUNCT
aiti-15175	106	15	,	,	PUNCT
aiti-15175	106	16	1	1	NUM
aiti-15175	106	17	,	,	PUNCT
aiti-15175	106	18	2	2	NUM
aiti-15175	106	19	,	,	PUNCT
aiti-15175	106	20	,	,	PUNCT
aiti-15175	106	21	=	=	PUNCT
aiti-15175	106	22	=	=	SYM
aiti-15175	106	23	…	…	PUNCT
aiti-15175	106	24	…	…	PUNCT
aiti-15175	106	25	di	di	NOUN
aiti-15175	106	26	i	i	PRON
aiti-15175	106	27	ibestg	ibestg	VERB
aiti-15175	106	28	g	g	PROPN
aiti-15175	106	29	g	g	PROPN
aiti-15175	106	30	g	g	PROPN
aiti-15175	107	1	i	i	PRON
aiti-15175	107	2	n	n	PROPN
aiti-15175	107	3	(	(	PUNCT
aiti-15175	107	4	10	10	NUM
aiti-15175	107	5	)	)	PUNCT
aiti-15175	107	6	where	where	SCONJ
aiti-15175	107	7	pbest	pbest	NOUN
aiti-15175	107	8	is	be	AUX
aiti-15175	107	9	the	the	DET
aiti-15175	107	10	individual	individual	ADJ
aiti-15175	107	11	optimal	optimal	ADJ
aiti-15175	107	12	solution	solution	NOUN
aiti-15175	107	13	,	,	PUNCT
aiti-15175	107	14	indicating	indicate	VERB
aiti-15175	107	15	the	the	DET
aiti-15175	107	16	initial	initial	ADJ
aiti-15175	107	17	position	position	NOUN
aiti-15175	107	18	of	of	ADP
aiti-15175	107	19	each	each	DET
aiti-15175	107	20	particle	particle	NOUN
aiti-15175	107	21	;	;	PUNCT
aiti-15175	107	22	gbest	gb	ADJ
aiti-15175	107	23	is	be	AUX
aiti-15175	107	24	the	the	DET
aiti-15175	107	25	global	global	ADJ
aiti-15175	107	26	optimal	optimal	ADJ
aiti-15175	107	27	solution	solution	NOUN
aiti-15175	107	28	,	,	PUNCT
aiti-15175	107	29	signifying	signify	VERB
aiti-15175	107	30	the	the	DET
aiti-15175	107	31	particle	particle	NOUN
aiti-15175	107	32	with	with	ADP
aiti-15175	107	33	the	the	DET
aiti-15175	107	34	best	good	ADJ
aiti-15175	107	35	initial	initial	ADJ
aiti-15175	107	36	fitness	fitness	NOUN
aiti-15175	107	37	value	value	NOUN
aiti-15175	107	38	.	.	PUNCT
aiti-15175	108	1	(	(	PUNCT
aiti-15175	108	2	4	4	NUM
aiti-15175	108	3	)	)	PUNCT
aiti-15175	108	4	in	in	ADP
aiti-15175	108	5	updating	update	VERB
aiti-15175	108	6	the	the	DET
aiti-15175	108	7	velocity	velocity	NOUN
aiti-15175	108	8	and	and	CCONJ
aiti-15175	108	9	position	position	NOUN
aiti-15175	108	10	of	of	ADP
aiti-15175	108	11	the	the	DET
aiti-15175	108	12	particles	particle	NOUN
aiti-15175	108	13	,	,	PUNCT
aiti-15175	108	14	the	the	DET
aiti-15175	108	15	following	follow	VERB
aiti-15175	108	16	calculations	calculation	NOUN
aiti-15175	108	17	are	be	AUX
aiti-15175	108	18	performed	perform	VERB
aiti-15175	108	19	:	:	PUNCT
aiti-15175	108	20	(	(	PUNCT
aiti-15175	108	21	)	)	PUNCT
aiti-15175	108	22	(	(	PUNCT
aiti-15175	108	23	)	)	PUNCT
aiti-15175	108	24	(	(	PUNCT
aiti-15175	108	25	)	)	PUNCT
aiti-15175	108	26	(	(	PUNCT
aiti-15175	108	27	)	)	PUNCT
aiti-15175	108	28	(	(	PUNCT
aiti-15175	108	29	)	)	SYM
aiti-15175	108	30	1	1	NUM
aiti-15175	108	31	1	1	NUM
aiti-15175	108	32	2	2	NUM
aiti-15175	108	33	21	21	NUM
aiti-15175	108	34	1	1	NUM
aiti-15175	108	35	1−	1−	NUM
aiti-15175	108	36	−	−	NOUN
aiti-15175	108	37	−	−	PROPN
aiti-15175	109	1	=	=	SYM
aiti-15175	110	1	+	+	CCONJ
aiti-15175	110	2	+	+	CCONJ
aiti-15175	110	3	−id	−id	VERB
aiti-15175	110	4	gdi	gdi	PROPN
aiti-15175	110	5	d	d	NOUN
aiti-15175	110	6	i	i	NOUN
aiti-15175	111	1	d	d	NOUN
aiti-15175	111	2	i	i	PRON
aiti-15175	112	1	d	d	PROPN
aiti-15175	112	2	v	v	X
aiti-15175	112	3	wv	wv	PROPN
aiti-15175	112	4	c	c	NOUN
aiti-15175	112	5	r	r	NOUN
aiti-15175	112	6	p	p	NOUN
aiti-15175	112	7	c	c	NOUN
aiti-15175	112	8	r	r	NOUN
aiti-15175	112	9	p	p	NOUN
aiti-15175	112	10	x	x	X
aiti-15175	112	11	(	(	PUNCT
aiti-15175	112	12	11	11	NUM
aiti-15175	112	13	)	)	PUNCT
aiti-15175	112	14	(	(	PUNCT
aiti-15175	112	15	)	)	PUNCT
aiti-15175	112	16	(	(	PUNCT
aiti-15175	112	17	)	)	PUNCT
aiti-15175	112	18	1	1	NUM
aiti-15175	112	19	1−	1−	NUM
aiti-15175	112	20	−	−	PROPN
aiti-15175	113	1	=	=	SYM
aiti-15175	114	1	+	+	PROPN
aiti-15175	114	2	i	i	NOUN
aiti-15175	114	3	d	d	NOUN
aiti-15175	115	1	i	i	PRON
aiti-15175	116	1	d	d	VERB
aiti-15175	116	2	i	i	PRON
aiti-15175	116	3	dx	dx	VERB
aiti-15175	116	4	x	x	VERB
aiti-15175	116	5	av	av	PROPN
aiti-15175	116	6	(	(	PUNCT
aiti-15175	116	7	12	12	NUM
aiti-15175	116	8	)	)	PUNCT
aiti-15175	116	9	where	where	SCONJ
aiti-15175	116	10	w	w	NOUN
aiti-15175	116	11	is	be	AUX
aiti-15175	116	12	the	the	DET
aiti-15175	116	13	inertia	inertia	NOUN
aiti-15175	116	14	factor	factor	NOUN
aiti-15175	116	15	;	;	PUNCT
aiti-15175	116	16	c1	c1	PROPN
aiti-15175	116	17	and	and	CCONJ
aiti-15175	116	18	c2	c2	PROPN
aiti-15175	116	19	are	be	AUX
aiti-15175	116	20	the	the	DET
aiti-15175	116	21	acceleration	acceleration	NOUN
aiti-15175	116	22	coefficients	coefficient	NOUN
aiti-15175	116	23	;	;	PUNCT
aiti-15175	116	24	r1	r1	PROPN
aiti-15175	116	25	and	and	CCONJ
aiti-15175	116	26	r2	r2	PROPN
aiti-15175	116	27	are	be	AUX
aiti-15175	116	28	mutually	mutually	ADV
aiti-15175	116	29	independent	independent	ADJ
aiti-15175	116	30	stochastic	stochastic	ADJ
aiti-15175	116	31	functions	function	NOUN
aiti-15175	116	32	between	between	ADP
aiti-15175	116	33	[	[	X
aiti-15175	116	34	0,1	0,1	NUM
aiti-15175	116	35	]	]	PUNCT
aiti-15175	116	36	;	;	PUNCT
aiti-15175	116	37	α	α	PRON
aiti-15175	116	38	is	be	AUX
aiti-15175	116	39	the	the	DET
aiti-15175	116	40	constraint	constraint	NOUN
aiti-15175	116	41	factor	factor	NOUN
aiti-15175	116	42	used	use	VERB
aiti-15175	116	43	to	to	PART
aiti-15175	116	44	limit	limit	VERB
aiti-15175	116	45	the	the	DET
aiti-15175	116	46	speed	speed	NOUN
aiti-15175	116	47	.	.	PUNCT
aiti-15175	117	1	(	(	PUNCT
aiti-15175	117	2	5	5	X
aiti-15175	117	3	)	)	PUNCT
aiti-15175	117	4	loop	loop	NOUN
aiti-15175	117	5	the	the	DET
aiti-15175	117	6	steps	step	NOUN
aiti-15175	117	7	(	(	PUNCT
aiti-15175	117	8	2	2	NUM
aiti-15175	117	9	)	)	PUNCT
aiti-15175	117	10	to	to	ADP
aiti-15175	117	11	(	(	PUNCT
aiti-15175	117	12	4	4	NUM
aiti-15175	117	13	)	)	PUNCT
aiti-15175	117	14	until	until	SCONJ
aiti-15175	117	15	the	the	DET
aiti-15175	117	16	optimization	optimization	NOUN
aiti-15175	117	17	termination	termination	NOUN
aiti-15175	117	18	condition	condition	NOUN
aiti-15175	117	19	is	be	AUX
aiti-15175	117	20	satisfied	satisfied	ADJ
aiti-15175	117	21	,	,	PUNCT
aiti-15175	117	22	ending	end	VERB
aiti-15175	117	23	the	the	DET
aiti-15175	117	24	optimization	optimization	NOUN
aiti-15175	117	25	process	process	NOUN
aiti-15175	117	26	.	.	PUNCT
aiti-15175	118	1	advances	advance	NOUN
aiti-15175	118	2	in	in	ADP
aiti-15175	118	3	technology	technology	NOUN
aiti-15175	118	4	innovation	innovation	NOUN
aiti-15175	118	5	,	,	PUNCT
aiti-15175	118	6	vol	vol	NOUN
aiti-15175	118	7	.	.	PUNCT
aiti-15175	119	1	x	x	X
aiti-15175	119	2	,	,	PUNCT
aiti-15175	119	3	no	no	INTJ
aiti-15175	119	4	.	.	PUNCT
aiti-15175	120	1	x	x	X
aiti-15175	120	2	,	,	PUNCT
aiti-15175	120	3	20xx	20xx	ADJ
aiti-15175	120	4	,	,	PUNCT
aiti-15175	120	5	pp	pp	PROPN
aiti-15175	120	6	.	.	PUNCT
aiti-15175	121	1	xx	xx	X
aiti-15175	121	2	-	-	SYM
aiti-15175	121	3	xx	xx	NUM
aiti-15175	121	4	5	5	NUM
aiti-15175	121	5	2.3	2.3	NUM
aiti-15175	121	6	.	.	PUNCT
aiti-15175	122	1	multiple	multiple	ADJ
aiti-15175	122	2	attention	attention	NOUN
aiti-15175	122	3	mechanisms	mechanism	NOUN
aiti-15175	122	4	(	(	PUNCT
aiti-15175	122	5	am	be	AUX
aiti-15175	122	6	)	)	PUNCT
aiti-15175	122	7	in	in	ADP
aiti-15175	122	8	recent	recent	ADJ
aiti-15175	122	9	years	year	NOUN
aiti-15175	122	10	,	,	PUNCT
aiti-15175	122	11	ams	am	NOUN
aiti-15175	122	12	have	have	AUX
aiti-15175	122	13	become	become	VERB
aiti-15175	122	14	a	a	DET
aiti-15175	122	15	much	much	ADV
aiti-15175	122	16	-	-	PUNCT
aiti-15175	122	17	anticipated	anticipate	VERB
aiti-15175	122	18	research	research	NOUN
aiti-15175	122	19	topic	topic	NOUN
aiti-15175	122	20	in	in	ADP
aiti-15175	122	21	the	the	DET
aiti-15175	122	22	field	field	NOUN
aiti-15175	122	23	of	of	ADP
aiti-15175	122	24	deep	deep	ADJ
aiti-15175	122	25	learning	learning	NOUN
aiti-15175	122	26	.	.	PUNCT
aiti-15175	123	1	traditional	traditional	ADJ
aiti-15175	123	2	ams	am	NOUN
aiti-15175	123	3	tend	tend	VERB
aiti-15175	123	4	to	to	PART
aiti-15175	123	5	rely	rely	VERB
aiti-15175	123	6	on	on	ADP
aiti-15175	123	7	another	another	DET
aiti-15175	123	8	relevant	relevant	ADJ
aiti-15175	123	9	sequence	sequence	NOUN
aiti-15175	123	10	to	to	PART
aiti-15175	123	11	determine	determine	VERB
aiti-15175	123	12	the	the	DET
aiti-15175	123	13	allocation	allocation	NOUN
aiti-15175	123	14	of	of	ADP
aiti-15175	123	15	attention	attention	NOUN
aiti-15175	123	16	when	when	SCONJ
aiti-15175	123	17	processing	process	VERB
aiti-15175	123	18	an	an	DET
aiti-15175	123	19	input	input	NOUN
aiti-15175	123	20	sequence	sequence	NOUN
aiti-15175	123	21	.	.	PUNCT
aiti-15175	124	1	in	in	ADP
aiti-15175	124	2	this	this	DET
aiti-15175	124	3	regard	regard	NOUN
aiti-15175	124	4	,	,	PUNCT
aiti-15175	124	5	the	the	DET
aiti-15175	124	6	multiam	multiam	NOUN
aiti-15175	124	7	introduces	introduce	VERB
aiti-15175	124	8	multiple	multiple	ADJ
aiti-15175	124	9	independent	independent	ADJ
aiti-15175	124	10	attention	attention	NOUN
aiti-15175	124	11	computations	computation	NOUN
aiti-15175	124	12	to	to	PART
aiti-15175	124	13	enhance	enhance	VERB
aiti-15175	124	14	the	the	DET
aiti-15175	124	15	expressive	expressive	ADJ
aiti-15175	124	16	power	power	NOUN
aiti-15175	124	17	of	of	ADP
aiti-15175	124	18	the	the	DET
aiti-15175	124	19	model	model	NOUN
aiti-15175	124	20	.	.	PUNCT
aiti-15175	125	1	the	the	DET
aiti-15175	125	2	core	core	ADJ
aiti-15175	125	3	idea	idea	NOUN
aiti-15175	125	4	of	of	ADP
aiti-15175	125	5	the	the	DET
aiti-15175	125	6	multiam	multiam	NOUN
aiti-15175	125	7	is	be	AUX
aiti-15175	125	8	to	to	PART
aiti-15175	125	9	map	map	VERB
aiti-15175	125	10	the	the	DET
aiti-15175	125	11	input	input	NOUN
aiti-15175	125	12	data	datum	NOUN
aiti-15175	125	13	into	into	ADP
aiti-15175	125	14	multiple	multiple	ADJ
aiti-15175	125	15	low	low	ADJ
aiti-15175	125	16	-	-	PUNCT
aiti-15175	125	17	dimensional	dimensional	ADJ
aiti-15175	125	18	subspaces	subspace	NOUN
aiti-15175	125	19	and	and	CCONJ
aiti-15175	125	20	compute	compute	VERB
aiti-15175	125	21	the	the	DET
aiti-15175	125	22	attention	attention	NOUN
aiti-15175	125	23	independently	independently	ADV
aiti-15175	125	24	in	in	ADP
aiti-15175	125	25	each	each	DET
aiti-15175	125	26	subspace	subspace	NOUN
aiti-15175	125	27	.	.	PUNCT
aiti-15175	126	1	finally	finally	ADV
aiti-15175	126	2	,	,	PUNCT
aiti-15175	126	3	these	these	DET
aiti-15175	126	4	attention	attention	NOUN
aiti-15175	126	5	results	result	NOUN
aiti-15175	126	6	are	be	AUX
aiti-15175	126	7	spliced	splice	VERB
aiti-15175	126	8	and	and	CCONJ
aiti-15175	126	9	fused	fuse	VERB
aiti-15175	126	10	.	.	PUNCT
aiti-15175	127	1	the	the	DET
aiti-15175	127	2	core	core	ADJ
aiti-15175	127	3	idea	idea	NOUN
aiti-15175	127	4	of	of	ADP
aiti-15175	127	5	the	the	DET
aiti-15175	127	6	multiam	multiam	NOUN
aiti-15175	127	7	is	be	AUX
aiti-15175	127	8	shown	show	VERB
aiti-15175	127	9	in	in	ADP
aiti-15175	127	10	fig	fig	NOUN
aiti-15175	127	11	.	.	PUNCT
aiti-15175	128	1	2	2	X
aiti-15175	128	2	.	.	X
aiti-15175	128	3	unlike	unlike	ADP
aiti-15175	128	4	the	the	DET
aiti-15175	128	5	single	single	ADJ
aiti-15175	128	6	-	-	PUNCT
aiti-15175	128	7	head	head	NOUN
aiti-15175	128	8	am	am	NOUN
aiti-15175	128	9	,	,	PUNCT
aiti-15175	128	10	the	the	DET
aiti-15175	128	11	multiam	multiam	NOUN
aiti-15175	128	12	divides	divide	VERB
aiti-15175	128	13	the	the	DET
aiti-15175	128	14	q	q	X
aiti-15175	128	15	(	(	PUNCT
aiti-15175	128	16	query	query	PROPN
aiti-15175	128	17	vector	vector	PROPN
aiti-15175	128	18	)	)	PUNCT
aiti-15175	128	19	,	,	PUNCT
aiti-15175	128	20	k	k	PROPN
aiti-15175	128	21	(	(	PUNCT
aiti-15175	128	22	key	key	ADJ
aiti-15175	128	23	vector	vector	NOUN
aiti-15175	128	24	)	)	PUNCT
aiti-15175	128	25	,	,	PUNCT
aiti-15175	128	26	and	and	CCONJ
aiti-15175	128	27	v	v	NOUN
aiti-15175	128	28	(	(	PUNCT
aiti-15175	128	29	value	value	NOUN
aiti-15175	128	30	vector	vector	NOUN
aiti-15175	128	31	)	)	PUNCT
aiti-15175	128	32	into	into	ADP
aiti-15175	128	33	h	h	NOUN
aiti-15175	128	34	parts	part	NOUN
aiti-15175	128	35	(	(	PUNCT
aiti-15175	128	36	multiple	multiple	ADJ
aiti-15175	128	37	heads	head	NOUN
aiti-15175	128	38	)	)	PUNCT
aiti-15175	128	39	and	and	CCONJ
aiti-15175	128	40	computes	compute	VERB
aiti-15175	128	41	the	the	DET
aiti-15175	128	42	attention	attention	NOUN
aiti-15175	128	43	independently	independently	ADV
aiti-15175	128	44	in	in	ADP
aiti-15175	128	45	these	these	DET
aiti-15175	128	46	subspaces	subspace	NOUN
aiti-15175	128	47	.	.	PUNCT
aiti-15175	129	1	the	the	DET
aiti-15175	129	2	calculation	calculation	NOUN
aiti-15175	129	3	formula	formula	NOUN
aiti-15175	129	4	is	be	AUX
aiti-15175	129	5	as	as	SCONJ
aiti-15175	129	6	follows	follow	VERB
aiti-15175	129	7	:	:	PUNCT
aiti-15175	129	8	(	(	PUNCT
aiti-15175	129	9	)	)	PUNCT
aiti-15175	129	10	(	(	PUNCT
aiti-15175	129	11	)	)	PUNCT
aiti-15175	129	12	1	1	NUM
aiti-15175	129	13	2	2	NUM
aiti-15175	129	14	,	,	PUNCT
aiti-15175	129	15	,	,	PUNCT
aiti-15175	129	16	,	,	PUNCT
aiti-15175	129	17	,	,	PUNCT
aiti-15175	129	18	,	,	PUNCT
aiti-15175	129	19	=	=	SYM
aiti-15175	129	20	…	…	PUNCT
aiti-15175	129	21	h	h	NOUN
aiti-15175	129	22	o	o	NOUN
aiti-15175	129	23	multihead	multihead	NOUN
aiti-15175	129	24	q	q	PROPN
aiti-15175	129	25	k	k	PROPN
aiti-15175	129	26	v	v	PROPN
aiti-15175	129	27	concat	concat	NOUN
aiti-15175	129	28	head	head	NOUN
aiti-15175	129	29	head	head	NOUN
aiti-15175	129	30	head	head	PROPN
aiti-15175	129	31	w	w	PROPN
aiti-15175	129	32	(	(	PUNCT
aiti-15175	129	33	13	13	NUM
aiti-15175	129	34	)	)	PUNCT
aiti-15175	129	35	fig	fig	NOUN
aiti-15175	129	36	.	.	PUNCT
aiti-15175	130	1	2	2	NUM
aiti-15175	130	2	core	core	NOUN
aiti-15175	130	3	idea	idea	NOUN
aiti-15175	130	4	of	of	ADP
aiti-15175	130	5	the	the	DET
aiti-15175	130	6	multiam	multiam	PROPN
aiti-15175	130	7	2.4	2.4	NUM
aiti-15175	130	8	.	.	PUNCT
aiti-15175	130	9	improved	improved	ADJ
aiti-15175	130	10	pso	pso	NOUN
aiti-15175	130	11	-	-	PUNCT
aiti-15175	130	12	multiam	multiam	NOUN
aiti-15175	130	13	-	-	PUNCT
aiti-15175	130	14	bilstm	bilstm	NOUN
aiti-15175	130	15	model	model	NOUN
aiti-15175	130	16	fig	fig	NOUN
aiti-15175	130	17	.	.	PUNCT
aiti-15175	131	1	3	3	NUM
aiti-15175	131	2	pso	pso	NOUN
aiti-15175	131	3	-	-	PUNCT
aiti-15175	131	4	multiambilstm	multiambilstm	NOUN
aiti-15175	131	5	training	training	NOUN
aiti-15175	131	6	flowchart	flowchart	NOUN
aiti-15175	131	7	advances	advance	VERB
aiti-15175	131	8	in	in	ADP
aiti-15175	131	9	technology	technology	NOUN
aiti-15175	131	10	innovation	innovation	NOUN
aiti-15175	131	11	,	,	PUNCT
aiti-15175	131	12	vol	vol	NOUN
aiti-15175	131	13	.	.	PUNCT
aiti-15175	132	1	x	x	X
aiti-15175	132	2	,	,	PUNCT
aiti-15175	132	3	no	no	INTJ
aiti-15175	132	4	.	.	PUNCT
aiti-15175	133	1	x	x	X
aiti-15175	133	2	,	,	PUNCT
aiti-15175	133	3	20xx	20xx	ADJ
aiti-15175	133	4	,	,	PUNCT
aiti-15175	133	5	pp	pp	PROPN
aiti-15175	133	6	.	.	PUNCT
aiti-15175	134	1	xx	xx	X
aiti-15175	134	2	-	-	SYM
aiti-15175	134	3	xx	xx	NUM
aiti-15175	134	4	6	6	NUM
aiti-15175	134	5	based	base	VERB
aiti-15175	134	6	on	on	ADP
aiti-15175	134	7	the	the	DET
aiti-15175	134	8	aforementioned	aforementioned	ADJ
aiti-15175	134	9	theory	theory	NOUN
aiti-15175	134	10	,	,	PUNCT
aiti-15175	134	11	this	this	DET
aiti-15175	134	12	research	research	NOUN
aiti-15175	134	13	proposes	propose	VERB
aiti-15175	134	14	a	a	DET
aiti-15175	134	15	rul	rul	NOUN
aiti-15175	134	16	prediction	prediction	NOUN
aiti-15175	134	17	model	model	NOUN
aiti-15175	134	18	based	base	VERB
aiti-15175	134	19	on	on	ADP
aiti-15175	134	20	the	the	DET
aiti-15175	134	21	improved	improved	ADJ
aiti-15175	134	22	pso	pso	NOUN
aiti-15175	134	23	-	-	PUNCT
aiti-15175	134	24	multiam	multiam	NOUN
aiti-15175	134	25	-	-	PUNCT
aiti-15175	134	26	bilstm	bilstm	NOUN
aiti-15175	134	27	.	.	PUNCT
aiti-15175	135	1	the	the	DET
aiti-15175	135	2	inertia	inertia	NOUN
aiti-15175	135	3	weights	weight	NOUN
aiti-15175	135	4	of	of	ADP
aiti-15175	135	5	the	the	DET
aiti-15175	135	6	pso	pso	NOUN
aiti-15175	135	7	algorithm	algorithm	NOUN
aiti-15175	135	8	in	in	ADP
aiti-15175	135	9	this	this	DET
aiti-15175	135	10	model	model	NOUN
aiti-15175	135	11	are	be	AUX
aiti-15175	135	12	dynamically	dynamically	ADV
aiti-15175	135	13	adjusted	adjust	VERB
aiti-15175	135	14	through	through	ADP
aiti-15175	135	15	a	a	DET
aiti-15175	135	16	nonlinear	nonlinear	ADJ
aiti-15175	135	17	function	function	NOUN
aiti-15175	135	18	,	,	PUNCT
aiti-15175	135	19	and	and	CCONJ
aiti-15175	135	20	the	the	DET
aiti-15175	135	21	pso	pso	NOUN
aiti-15175	135	22	algorithm	algorithm	NOUN
aiti-15175	135	23	optimizes	optimize	VERB
aiti-15175	135	24	key	key	ADJ
aiti-15175	135	25	parameters	parameter	NOUN
aiti-15175	135	26	of	of	ADP
aiti-15175	135	27	the	the	DET
aiti-15175	135	28	bilstm	bilstm	NOUN
aiti-15175	135	29	network	network	NOUN
aiti-15175	135	30	,	,	PUNCT
aiti-15175	135	31	such	such	ADJ
aiti-15175	135	32	as	as	ADP
aiti-15175	135	33	the	the	DET
aiti-15175	135	34	number	number	NOUN
aiti-15175	135	35	of	of	ADP
aiti-15175	135	36	hidden	hide	VERB
aiti-15175	135	37	layers	layer	NOUN
aiti-15175	135	38	and	and	CCONJ
aiti-15175	135	39	the	the	DET
aiti-15175	135	40	learning	learning	NOUN
aiti-15175	135	41	rate	rate	NOUN
aiti-15175	135	42	.	.	PUNCT
aiti-15175	136	1	the	the	DET
aiti-15175	136	2	correlation	correlation	NOUN
aiti-15175	136	3	weights	weight	VERB
aiti-15175	136	4	between	between	ADP
aiti-15175	136	5	features	feature	NOUN
aiti-15175	136	6	are	be	AUX
aiti-15175	136	7	computed	compute	VERB
aiti-15175	136	8	using	use	VERB
aiti-15175	136	9	a	a	DET
aiti-15175	136	10	multiam	multiam	NOUN
aiti-15175	136	11	that	that	PRON
aiti-15175	136	12	enables	enable	VERB
aiti-15175	136	13	the	the	DET
aiti-15175	136	14	bilstm	bilstm	NOUN
aiti-15175	136	15	model	model	NOUN
aiti-15175	136	16	to	to	PART
aiti-15175	136	17	dynamically	dynamically	ADV
aiti-15175	136	18	focus	focus	VERB
aiti-15175	136	19	on	on	ADP
aiti-15175	136	20	the	the	DET
aiti-15175	136	21	important	important	ADJ
aiti-15175	136	22	information	information	NOUN
aiti-15175	136	23	in	in	ADP
aiti-15175	136	24	the	the	DET
aiti-15175	136	25	input	input	NOUN
aiti-15175	136	26	sequence	sequence	NOUN
aiti-15175	136	27	.	.	PUNCT
aiti-15175	137	1	the	the	DET
aiti-15175	137	2	process	process	NOUN
aiti-15175	137	3	of	of	ADP
aiti-15175	137	4	model	model	NOUN
aiti-15175	137	5	realization	realization	NOUN
aiti-15175	137	6	is	be	AUX
aiti-15175	137	7	shown	show	VERB
aiti-15175	137	8	in	in	ADP
aiti-15175	137	9	fig	fig	NOUN
aiti-15175	137	10	.	.	PUNCT
aiti-15175	138	1	3	3	X
aiti-15175	138	2	.	.	X
aiti-15175	138	3	the	the	DET
aiti-15175	138	4	specific	specific	ADJ
aiti-15175	138	5	steps	step	NOUN
aiti-15175	138	6	in	in	ADP
aiti-15175	138	7	the	the	DET
aiti-15175	138	8	rul	rul	NOUN
aiti-15175	138	9	prediction	prediction	NOUN
aiti-15175	138	10	process	process	NOUN
aiti-15175	138	11	of	of	ADP
aiti-15175	138	12	the	the	DET
aiti-15175	138	13	proposed	propose	VERB
aiti-15175	138	14	pso	pso	NOUN
aiti-15175	138	15	-	-	PUNCT
aiti-15175	138	16	multiam	multiam	NOUN
aiti-15175	138	17	-	-	PUNCT
aiti-15175	138	18	bilstm	bilstm	NOUN
aiti-15175	138	19	are	be	AUX
aiti-15175	138	20	as	as	SCONJ
aiti-15175	138	21	follows	follow	VERB
aiti-15175	138	22	:	:	PUNCT
aiti-15175	138	23	(	(	PUNCT
aiti-15175	138	24	1	1	X
aiti-15175	138	25	)	)	PUNCT
aiti-15175	138	26	when	when	SCONJ
aiti-15175	138	27	the	the	DET
aiti-15175	138	28	bilstm	bilstm	NOUN
aiti-15175	138	29	network	network	NOUN
aiti-15175	138	30	executes	execute	VERB
aiti-15175	138	31	the	the	DET
aiti-15175	138	32	bp	bp	PROPN
aiti-15175	138	33	algorithm	algorithm	NOUN
aiti-15175	138	34	for	for	ADP
aiti-15175	138	35	gradient	gradient	ADJ
aiti-15175	138	36	computation	computation	NOUN
aiti-15175	138	37	,	,	PUNCT
aiti-15175	138	38	the	the	DET
aiti-15175	138	39	output	output	NOUN
aiti-15175	138	40	value	value	NOUN
aiti-15175	138	41	of	of	ADP
aiti-15175	138	42	each	each	DET
aiti-15175	138	43	neuron	neuron	NOUN
aiti-15175	138	44	is	be	AUX
aiti-15175	138	45	derived	derive	VERB
aiti-15175	138	46	by	by	ADP
aiti-15175	138	47	concatenating	concatenate	VERB
aiti-15175	138	48	the	the	DET
aiti-15175	138	49	hidden	hide	VERB
aiti-15175	138	50	states	state	NOUN
aiti-15175	138	51	from	from	ADP
aiti-15175	138	52	forward	forward	ADV
aiti-15175	138	53	and	and	CCONJ
aiti-15175	138	54	backward	backward	ADJ
aiti-15175	138	55	computations	computation	NOUN
aiti-15175	138	56	.	.	PUNCT
aiti-15175	139	1	a	a	DET
aiti-15175	139	2	multiam	multiam	NOUN
aiti-15175	139	3	is	be	AUX
aiti-15175	139	4	incorporated	incorporate	VERB
aiti-15175	139	5	to	to	PART
aiti-15175	139	6	enhance	enhance	VERB
aiti-15175	139	7	label	label	NOUN
aiti-15175	139	8	localization	localization	NOUN
aiti-15175	139	9	and	and	CCONJ
aiti-15175	139	10	classification	classification	NOUN
aiti-15175	139	11	,	,	PUNCT
aiti-15175	139	12	enabling	enable	VERB
aiti-15175	139	13	the	the	DET
aiti-15175	139	14	recognition	recognition	NOUN
aiti-15175	139	15	of	of	ADP
aiti-15175	139	16	discrepancies	discrepancy	NOUN
aiti-15175	139	17	between	between	ADP
aiti-15175	139	18	different	different	ADJ
aiti-15175	139	19	monitoring	monitoring	NOUN
aiti-15175	139	20	data	datum	NOUN
aiti-15175	139	21	and	and	CCONJ
aiti-15175	139	22	facilitating	facilitate	VERB
aiti-15175	139	23	the	the	DET
aiti-15175	139	24	extraction	extraction	NOUN
aiti-15175	139	25	of	of	ADP
aiti-15175	139	26	deeper	deep	ADJ
aiti-15175	139	27	potential	potential	ADJ
aiti-15175	139	28	information	information	NOUN
aiti-15175	139	29	from	from	ADP
aiti-15175	139	30	the	the	DET
aiti-15175	139	31	data	datum	NOUN
aiti-15175	139	32	.	.	PUNCT
aiti-15175	140	1	to	to	PART
aiti-15175	140	2	mitigate	mitigate	VERB
aiti-15175	140	3	overfitting	overfitting	NOUN
aiti-15175	140	4	,	,	PUNCT
aiti-15175	140	5	a	a	DET
aiti-15175	140	6	dropout	dropout	NOUN
aiti-15175	140	7	rate	rate	NOUN
aiti-15175	140	8	of	of	ADP
aiti-15175	140	9	0.25	0.25	NUM
aiti-15175	140	10	is	be	AUX
aiti-15175	140	11	employed	employ	VERB
aiti-15175	140	12	.	.	PUNCT
aiti-15175	141	1	finally	finally	ADV
aiti-15175	141	2	,	,	PUNCT
aiti-15175	141	3	the	the	DET
aiti-15175	141	4	data	data	NOUN
aiti-15175	141	5	is	be	AUX
aiti-15175	141	6	passed	pass	VERB
aiti-15175	141	7	through	through	ADP
aiti-15175	141	8	two	two	NUM
aiti-15175	141	9	fully	fully	ADV
aiti-15175	141	10	connected	connected	ADJ
aiti-15175	141	11	layers	layer	NOUN
aiti-15175	141	12	with	with	ADP
aiti-15175	141	13	10	10	NUM
aiti-15175	141	14	and	and	CCONJ
aiti-15175	141	15	1	1	NUM
aiti-15175	141	16	units	unit	NOUN
aiti-15175	141	17	,	,	PUNCT
aiti-15175	141	18	respectively	respectively	ADV
aiti-15175	141	19	,	,	PUNCT
aiti-15175	141	20	before	before	ADP
aiti-15175	141	21	being	be	AUX
aiti-15175	141	22	fed	feed	VERB
aiti-15175	141	23	into	into	ADP
aiti-15175	141	24	the	the	DET
aiti-15175	141	25	regression	regression	NOUN
aiti-15175	141	26	layer	layer	NOUN
aiti-15175	141	27	.	.	PUNCT
aiti-15175	142	1	(	(	PUNCT
aiti-15175	142	2	2	2	X
aiti-15175	142	3	)	)	PUNCT
aiti-15175	142	4	the	the	DET
aiti-15175	142	5	pso	pso	NOUN
aiti-15175	142	6	algorithm	algorithm	NOUN
aiti-15175	142	7	is	be	AUX
aiti-15175	142	8	initialized	initialize	VERB
aiti-15175	142	9	by	by	ADP
aiti-15175	142	10	adopting	adopt	VERB
aiti-15175	142	11	the	the	DET
aiti-15175	142	12	initial	initial	ADJ
aiti-15175	142	13	root	root	NOUN
aiti-15175	142	14	-	-	PUNCT
aiti-15175	142	15	mean	mean	ADJ
aiti-15175	142	16	-	-	PUNCT
aiti-15175	142	17	square	square	NOUN
aiti-15175	142	18	error	error	NOUN
aiti-15175	142	19	(	(	PUNCT
aiti-15175	142	20	rmse	rmse	NOUN
aiti-15175	142	21	)	)	PUNCT
aiti-15175	142	22	of	of	ADP
aiti-15175	142	23	each	each	DET
aiti-15175	142	24	particle	particle	NOUN
aiti-15175	142	25	as	as	ADP
aiti-15175	142	26	the	the	DET
aiti-15175	142	27	local	local	ADJ
aiti-15175	142	28	optimum	optimum	NOUN
aiti-15175	142	29	.	.	PUNCT
aiti-15175	143	1	the	the	DET
aiti-15175	143	2	initial	initial	ADJ
aiti-15175	143	3	parameters	parameter	NOUN
aiti-15175	143	4	of	of	ADP
aiti-15175	143	5	the	the	DET
aiti-15175	143	6	model	model	NOUN
aiti-15175	143	7	are	be	AUX
aiti-15175	143	8	configured	configure	VERB
aiti-15175	143	9	as	as	SCONJ
aiti-15175	143	10	listed	list	VERB
aiti-15175	143	11	in	in	ADP
aiti-15175	143	12	table	table	NOUN
aiti-15175	143	13	1	1	NUM
aiti-15175	143	14	,	,	PUNCT
aiti-15175	143	15	including	include	VERB
aiti-15175	143	16	the	the	DET
aiti-15175	143	17	initial	initial	ADJ
aiti-15175	143	18	learning	learning	NOUN
aiti-15175	143	19	rate	rate	NOUN
aiti-15175	143	20	,	,	PUNCT
aiti-15175	143	21	the	the	DET
aiti-15175	143	22	number	number	NOUN
aiti-15175	143	23	of	of	ADP
aiti-15175	143	24	hidden	hide	VERB
aiti-15175	143	25	layer	layer	NOUN
aiti-15175	143	26	units	unit	NOUN
aiti-15175	143	27	,	,	PUNCT
aiti-15175	143	28	and	and	CCONJ
aiti-15175	143	29	initial	initial	ADJ
aiti-15175	143	30	weights	weight	NOUN
aiti-15175	143	31	.	.	PUNCT
aiti-15175	144	1	these	these	DET
aiti-15175	144	2	parameter	parameter	NOUN
aiti-15175	144	3	settings	setting	NOUN
aiti-15175	144	4	are	be	AUX
aiti-15175	144	5	determined	determine	VERB
aiti-15175	144	6	based	base	VERB
aiti-15175	144	7	on	on	ADP
aiti-15175	144	8	extensive	extensive	ADJ
aiti-15175	144	9	trial	trial	NOUN
aiti-15175	144	10	experiments	experiment	NOUN
aiti-15175	144	11	.	.	PUNCT
aiti-15175	145	1	table	table	NOUN
aiti-15175	145	2	1	1	NUM
aiti-15175	145	3	pso	pso	NOUN
aiti-15175	145	4	-	-	PUNCT
aiti-15175	145	5	multiam	multiam	NOUN
aiti-15175	145	6	-	-	PUNCT
aiti-15175	145	7	bilstm	bilstm	NOUN
aiti-15175	145	8	model	model	NOUN
aiti-15175	145	9	parameters	parameter	NOUN
aiti-15175	145	10	network	network	PROPN
aiti-15175	145	11	parameter	parameter	PROPN
aiti-15175	145	12	initial	initial	ADJ
aiti-15175	145	13	value	value	NOUN
aiti-15175	145	14	initialization	initialization	NOUN
aiti-15175	145	15	weights	weight	VERB
aiti-15175	145	16	[	[	X
aiti-15175	145	17	0.4,1	0.4,1	NOUN
aiti-15175	145	18	]	]	PUNCT
aiti-15175	145	19	oblivion	oblivion	NOUN
aiti-15175	145	20	gate	gate	NOUN
aiti-15175	145	21	bias	bias	NOUN
aiti-15175	145	22	1	1	NUM
aiti-15175	145	23	input	input	NOUN
aiti-15175	145	24	gate	gate	NOUN
aiti-15175	145	25	bias	bias	NOUN
aiti-15175	145	26	(	(	PUNCT
aiti-15175	145	27	progression	progression	NOUN
aiti-15175	145	28	,	,	PUNCT
aiti-15175	145	29	pacemaker	pacemaker	NOUN
aiti-15175	145	30	=	=	NOUN
aiti-15175	145	31	0.1	0.1	NUM
aiti-15175	145	32	)	)	PUNCT
aiti-15175	146	1	[	[	X
aiti-15175	146	2	0,0.8	0,0.8	NUM
aiti-15175	146	3	]	]	PUNCT
aiti-15175	146	4	output	output	NOUN
aiti-15175	146	5	gate	gate	NOUN
aiti-15175	146	6	bias	bias	NOUN
aiti-15175	146	7	(	(	PUNCT
aiti-15175	146	8	progression	progression	NOUN
aiti-15175	146	9	,	,	PUNCT
aiti-15175	146	10	pacemaker	pacemaker	NOUN
aiti-15175	146	11	=	=	NOUN
aiti-15175	146	12	0.1	0.1	NUM
aiti-15175	146	13	)	)	PUNCT
aiti-15175	147	1	[	[	X
aiti-15175	147	2	0,0.8	0,0.8	NUM
aiti-15175	147	3	]	]	PUNCT
aiti-15175	147	4	number	number	NOUN
aiti-15175	147	5	of	of	ADP
aiti-15175	147	6	iterations	iteration	NOUN
aiti-15175	147	7	200	200	NUM
aiti-15175	147	8	population	population	NOUN
aiti-15175	147	9	size	size	NOUN
aiti-15175	147	10	10	10	NUM
aiti-15175	147	11	learning	learning	NOUN
aiti-15175	147	12	factor	factor	NOUN
aiti-15175	147	13	c1	c1	PROPN
aiti-15175	147	14	1.5	1.5	NUM
aiti-15175	147	15	learning	learning	NOUN
aiti-15175	147	16	factor	factor	NOUN
aiti-15175	147	17	c2	c2	PROPN
aiti-15175	147	18	1.5	1.5	NUM
aiti-15175	147	19	number	number	NOUN
aiti-15175	147	20	of	of	ADP
aiti-15175	147	21	hidden	hide	VERB
aiti-15175	147	22	layer	layer	NOUN
aiti-15175	147	23	units	unit	NOUN
aiti-15175	147	24	m	m	VERB
aiti-15175	147	25	(	(	PUNCT
aiti-15175	147	26	progression	progression	NOUN
aiti-15175	147	27	,	,	PUNCT
aiti-15175	147	28	pacemaker	pacemaker	NOUN
aiti-15175	147	29	=	=	NOUN
aiti-15175	147	30	10	10	NUM
aiti-15175	147	31	)	)	PUNCT
aiti-15175	148	1	[	[	X
aiti-15175	148	2	10,300	10,300	NUM
aiti-15175	148	3	]	]	X
aiti-15175	148	4	learning	learn	VERB
aiti-15175	148	5	rate	rate	NOUN
aiti-15175	148	6	r	r	NOUN
aiti-15175	148	7	[	[	X
aiti-15175	148	8	0.01,0.15	0.01,0.15	X
aiti-15175	148	9	]	]	X
aiti-15175	148	10	(	(	PUNCT
aiti-15175	148	11	3	3	X
aiti-15175	148	12	)	)	PUNCT
aiti-15175	148	13	in	in	ADP
aiti-15175	148	14	the	the	DET
aiti-15175	148	15	pso	pso	NOUN
aiti-15175	148	16	optimization	optimization	NOUN
aiti-15175	148	17	process	process	NOUN
aiti-15175	148	18	,	,	PUNCT
aiti-15175	148	19	a	a	DET
aiti-15175	148	20	logarithmic	logarithmic	ADJ
aiti-15175	148	21	decreasing	decrease	VERB
aiti-15175	148	22	strategy	strategy	NOUN
aiti-15175	148	23	is	be	AUX
aiti-15175	148	24	introduced	introduce	VERB
aiti-15175	148	25	to	to	PART
aiti-15175	148	26	dynamically	dynamically	ADV
aiti-15175	148	27	adjust	adjust	VERB
aiti-15175	148	28	the	the	DET
aiti-15175	148	29	inertia	inertia	NOUN
aiti-15175	148	30	weights	weight	NOUN
aiti-15175	148	31	.	.	PUNCT
aiti-15175	149	1	this	this	DET
aiti-15175	149	2	strategy	strategy	NOUN
aiti-15175	149	3	gradually	gradually	ADV
aiti-15175	149	4	reduces	reduce	VERB
aiti-15175	149	5	the	the	DET
aiti-15175	149	6	inertia	inertia	NOUN
aiti-15175	149	7	weights	weight	NOUN
aiti-15175	149	8	during	during	ADP
aiti-15175	149	9	the	the	DET
aiti-15175	149	10	iterative	iterative	NOUN
aiti-15175	149	11	process	process	NOUN
aiti-15175	149	12	,	,	PUNCT
aiti-15175	149	13	effectively	effectively	ADV
aiti-15175	149	14	balancing	balance	VERB
aiti-15175	149	15	the	the	DET
aiti-15175	149	16	global	global	ADJ
aiti-15175	149	17	exploration	exploration	NOUN
aiti-15175	149	18	and	and	CCONJ
aiti-15175	149	19	local	local	ADJ
aiti-15175	149	20	search	search	NOUN
aiti-15175	149	21	capabilities	capability	NOUN
aiti-15175	149	22	of	of	ADP
aiti-15175	149	23	the	the	DET
aiti-15175	149	24	algorithm	algorithm	NOUN
aiti-15175	149	25	and	and	CCONJ
aiti-15175	149	26	improving	improve	VERB
aiti-15175	149	27	its	its	PRON
aiti-15175	149	28	optimization	optimization	NOUN
aiti-15175	149	29	performance	performance	NOUN
aiti-15175	149	30	.	.	PUNCT
aiti-15175	150	1	the	the	DET
aiti-15175	150	2	formula	formula	NOUN
aiti-15175	150	3	for	for	ADP
aiti-15175	150	4	the	the	DET
aiti-15175	150	5	logarithmic	logarithmic	NOUN
aiti-15175	150	6	decreasing	decrease	VERB
aiti-15175	150	7	inertia	inertia	NOUN
aiti-15175	150	8	weights	weight	NOUN
aiti-15175	150	9	is	be	AUX
aiti-15175	150	10	given	give	VERB
aiti-15175	150	11	in	in	ADP
aiti-15175	150	12	the	the	DET
aiti-15175	150	13	formula	formula	NOUN
aiti-15175	150	14	below	below	ADV
aiti-15175	150	15	.	.	PUNCT
aiti-15175	151	1	the	the	DET
aiti-15175	151	2	rmse	rmse	NOUN
aiti-15175	151	3	is	be	AUX
aiti-15175	151	4	employed	employ	VERB
aiti-15175	151	5	as	as	ADP
aiti-15175	151	6	the	the	DET
aiti-15175	151	7	fitness	fitness	NOUN
aiti-15175	151	8	function	function	NOUN
aiti-15175	151	9	,	,	PUNCT
aiti-15175	151	10	and	and	CCONJ
aiti-15175	151	11	the	the	DET
aiti-15175	151	12	optimal	optimal	ADJ
aiti-15175	151	13	learning	learning	NOUN
aiti-15175	151	14	rate	rate	NOUN
aiti-15175	151	15	and	and	CCONJ
aiti-15175	151	16	number	number	NOUN
aiti-15175	151	17	of	of	ADP
aiti-15175	151	18	hidden	hidden	ADJ
aiti-15175	151	19	layers	layer	NOUN
aiti-15175	151	20	of	of	ADP
aiti-15175	151	21	the	the	DET
aiti-15175	151	22	bilstm	bilstm	NOUN
aiti-15175	151	23	model	model	NOUN
aiti-15175	151	24	are	be	AUX
aiti-15175	151	25	determined	determine	VERB
aiti-15175	151	26	through	through	ADP
aiti-15175	151	27	iterative	iterative	NOUN
aiti-15175	151	28	search	search	NOUN
aiti-15175	151	29	,	,	PUNCT
aiti-15175	151	30	attaining	attain	VERB
aiti-15175	151	31	efficient	efficient	ADJ
aiti-15175	151	32	optimization	optimization	NOUN
aiti-15175	151	33	of	of	ADP
aiti-15175	151	34	model	model	NOUN
aiti-15175	151	35	parameters	parameter	NOUN
aiti-15175	151	36	.	.	PUNCT
aiti-15175	152	1	additionally	additionally	ADV
aiti-15175	152	2	,	,	PUNCT
aiti-15175	152	3	the	the	DET
aiti-15175	152	4	adam	adam	PROPN
aiti-15175	152	5	optimizer	optimizer	NOUN
aiti-15175	152	6	is	be	AUX
aiti-15175	152	7	utilized	utilize	VERB
aiti-15175	152	8	to	to	PART
aiti-15175	152	9	optimize	optimize	VERB
aiti-15175	152	10	the	the	DET
aiti-15175	152	11	model	model	NOUN
aiti-15175	152	12	weights	weight	NOUN
aiti-15175	152	13	,	,	PUNCT
aiti-15175	152	14	ensuring	ensure	VERB
aiti-15175	152	15	expeditious	expeditious	ADJ
aiti-15175	152	16	convergence	convergence	NOUN
aiti-15175	152	17	during	during	ADP
aiti-15175	152	18	training	training	NOUN
aiti-15175	152	19	and	and	CCONJ
aiti-15175	152	20	further	far	ADV
aiti-15175	152	21	enhancing	enhance	VERB
aiti-15175	152	22	the	the	DET
aiti-15175	152	23	training	training	NOUN
aiti-15175	152	24	efficiency	efficiency	NOUN
aiti-15175	152	25	and	and	CCONJ
aiti-15175	152	26	prediction	prediction	NOUN
aiti-15175	152	27	performance	performance	NOUN
aiti-15175	152	28	of	of	ADP
aiti-15175	152	29	the	the	DET
aiti-15175	152	30	model	model	NOUN
aiti-15175	152	31	.	.	PUNCT
aiti-15175	153	1	the	the	DET
aiti-15175	153	2	specific	specific	ADJ
aiti-15175	153	3	formula	formula	NOUN
aiti-15175	153	4	is	be	AUX
aiti-15175	153	5	as	as	SCONJ
aiti-15175	153	6	follows	follow	VERB
aiti-15175	153	7	:	:	PUNCT
aiti-15175	153	8	(	(	PUNCT
aiti-15175	153	9	)	)	PUNCT
aiti-15175	153	10	(	(	PUNCT
aiti-15175	153	11	)	)	PUNCT
aiti-15175	153	12	(	(	PUNCT
aiti-15175	153	13	)	)	PUNCT
aiti-15175	153	14	max	max	PROPN
aiti-15175	153	15	maxmin	maxmin	PROPN
aiti-15175	153	16	min	min	PROPN
aiti-15175	153	17	max	max	PROPN
aiti-15175	153	18	ln	ln	PROPN
aiti-15175	153	19	1	1	NUM
aiti-15175	153	20	(	(	PUNCT
aiti-15175	153	21	)	)	PUNCT
aiti-15175	153	22	ln	ln	PROPN
aiti-15175	154	1	ω	ω	PROPN
aiti-15175	154	2	ω	ω	PROPN
aiti-15175	154	3	ω	ω	PROPN
aiti-15175	154	4	ω	ω	PROPN
aiti-15175	154	5	−	−	PROPN
aiti-15175	155	1	+	+	CCONJ
aiti-15175	155	2	=	=	SYM
aiti-15175	156	1	+	+	NUM
aiti-15175	156	2	−	−	NUM
aiti-15175	157	1	×	×	NOUN
aiti-15175	157	2	t	t	PROPN
aiti-15175	157	3	t	t	PROPN
aiti-15175	157	4	t	t	PROPN
aiti-15175	157	5	t	t	PROPN
aiti-15175	157	6	(	(	PUNCT
aiti-15175	157	7	14	14	NUM
aiti-15175	157	8	)	)	PUNCT
aiti-15175	157	9	where	where	SCONJ
aiti-15175	157	10	ω(t	ω(t	NOUN
aiti-15175	157	11	)	)	PUNCT
aiti-15175	157	12	is	be	AUX
aiti-15175	157	13	the	the	DET
aiti-15175	157	14	inertia	inertia	NOUN
aiti-15175	157	15	weight	weight	NOUN
aiti-15175	157	16	at	at	ADP
aiti-15175	157	17	iteration	iteration	NOUN
aiti-15175	157	18	t	t	PROPN
aiti-15175	157	19	times	time	NOUN
aiti-15175	157	20	;	;	PUNCT
aiti-15175	157	21	ωmin	ωmin	NOUN
aiti-15175	157	22	is	be	AUX
aiti-15175	157	23	the	the	DET
aiti-15175	157	24	minimum	minimum	ADJ
aiti-15175	157	25	value	value	NOUN
aiti-15175	157	26	of	of	ADP
aiti-15175	157	27	the	the	DET
aiti-15175	157	28	inertia	inertia	NOUN
aiti-15175	157	29	weights	weight	NOUN
aiti-15175	157	30	,	,	PUNCT
aiti-15175	157	31	which	which	PRON
aiti-15175	157	32	is	be	AUX
aiti-15175	157	33	reached	reach	VERB
aiti-15175	157	34	in	in	ADP
aiti-15175	157	35	the	the	DET
aiti-15175	157	36	later	later	ADJ
aiti-15175	157	37	stages	stage	NOUN
aiti-15175	157	38	of	of	ADP
aiti-15175	157	39	the	the	DET
aiti-15175	157	40	iteration	iteration	NOUN
aiti-15175	157	41	and	and	CCONJ
aiti-15175	157	42	enhances	enhance	VERB
aiti-15175	157	43	the	the	DET
aiti-15175	157	44	local	local	ADJ
aiti-15175	157	45	search	search	NOUN
aiti-15175	157	46	capability	capability	NOUN
aiti-15175	157	47	of	of	ADP
aiti-15175	157	48	the	the	DET
aiti-15175	157	49	algorithm	algorithm	NOUN
aiti-15175	157	50	;	;	PUNCT
aiti-15175	157	51	ωmax	ωmax	NUM
aiti-15175	157	52	is	be	AUX
aiti-15175	157	53	the	the	DET
aiti-15175	157	54	maximum	maximum	ADJ
aiti-15175	157	55	value	value	NOUN
aiti-15175	157	56	of	of	ADP
aiti-15175	157	57	the	the	DET
aiti-15175	157	58	inertia	inertia	NOUN
aiti-15175	157	59	weights	weight	NOUN
aiti-15175	157	60	,	,	PUNCT
aiti-15175	157	61	ensuring	ensure	VERB
aiti-15175	157	62	strong	strong	ADJ
aiti-15175	157	63	global	global	ADJ
aiti-15175	157	64	exploration	exploration	NOUN
aiti-15175	157	65	capability	capability	NOUN
aiti-15175	157	66	at	at	ADP
aiti-15175	157	67	the	the	DET
aiti-15175	157	68	beginning	beginning	NOUN
aiti-15175	157	69	of	of	ADP
aiti-15175	157	70	the	the	DET
aiti-15175	157	71	iteration	iteration	NOUN
aiti-15175	157	72	;	;	PUNCT
aiti-15175	157	73	tmax	tmax	ADV
aiti-15175	157	74	is	be	AUX
aiti-15175	157	75	the	the	DET
aiti-15175	157	76	maximum	maximum	ADJ
aiti-15175	157	77	number	number	NOUN
aiti-15175	157	78	of	of	ADP
aiti-15175	157	79	iterations	iteration	NOUN
aiti-15175	157	80	of	of	ADP
aiti-15175	157	81	the	the	DET
aiti-15175	157	82	algorithm	algorithm	NOUN
aiti-15175	157	83	;	;	PUNCT
aiti-15175	157	84	and	and	CCONJ
aiti-15175	157	85	t	t	PROPN
aiti-15175	157	86	is	be	AUX
aiti-15175	157	87	the	the	DET
aiti-15175	157	88	current	current	ADJ
aiti-15175	157	89	iteration	iteration	NOUN
aiti-15175	157	90	number	number	NOUN
aiti-15175	157	91	.	.	PUNCT
aiti-15175	158	1	advances	advance	NOUN
aiti-15175	158	2	in	in	ADP
aiti-15175	158	3	technology	technology	NOUN
aiti-15175	158	4	innovation	innovation	NOUN
aiti-15175	158	5	,	,	PUNCT
aiti-15175	158	6	vol	vol	NOUN
aiti-15175	158	7	.	.	PUNCT
aiti-15175	159	1	x	x	X
aiti-15175	159	2	,	,	PUNCT
aiti-15175	159	3	no	no	INTJ
aiti-15175	159	4	.	.	PUNCT
aiti-15175	160	1	x	x	X
aiti-15175	160	2	,	,	PUNCT
aiti-15175	160	3	20xx	20xx	ADJ
aiti-15175	160	4	,	,	PUNCT
aiti-15175	160	5	pp	pp	PROPN
aiti-15175	160	6	.	.	PUNCT
aiti-15175	161	1	xx	xx	X
aiti-15175	161	2	-	-	SYM
aiti-15175	161	3	xx	xx	NUM
aiti-15175	161	4	7	7	NUM
aiti-15175	161	5	3	3	NUM
aiti-15175	161	6	.	.	PUNCT
aiti-15175	161	7	dataset	dataset	NOUN
aiti-15175	161	8	and	and	CCONJ
aiti-15175	161	9	feature	feature	NOUN
aiti-15175	161	10	extraction	extraction	NOUN
aiti-15175	161	11	this	this	DET
aiti-15175	161	12	section	section	NOUN
aiti-15175	161	13	introduces	introduce	VERB
aiti-15175	161	14	the	the	DET
aiti-15175	161	15	source	source	NOUN
aiti-15175	161	16	of	of	ADP
aiti-15175	161	17	the	the	DET
aiti-15175	161	18	dataset	dataset	NOUN
aiti-15175	161	19	,	,	PUNCT
aiti-15175	161	20	experimental	experimental	ADJ
aiti-15175	161	21	conditions	condition	NOUN
aiti-15175	161	22	,	,	PUNCT
aiti-15175	161	23	and	and	CCONJ
aiti-15175	161	24	data	datum	NOUN
aiti-15175	161	25	preprocessing	preprocessing	NOUN
aiti-15175	161	26	methods	method	NOUN
aiti-15175	161	27	.	.	PUNCT
aiti-15175	162	1	regarding	regard	VERB
aiti-15175	162	2	the	the	DET
aiti-15175	162	3	experimental	experimental	ADJ
aiti-15175	162	4	conditions	condition	NOUN
aiti-15175	162	5	,	,	PUNCT
aiti-15175	162	6	key	key	ADJ
aiti-15175	162	7	details	detail	NOUN
aiti-15175	162	8	include	include	VERB
aiti-15175	162	9	the	the	DET
aiti-15175	162	10	equipment	equipment	NOUN
aiti-15175	162	11	used	use	VERB
aiti-15175	162	12	and	and	CCONJ
aiti-15175	162	13	milling	mill	VERB
aiti-15175	162	14	parameters	parameter	NOUN
aiti-15175	162	15	.	.	PUNCT
aiti-15175	163	1	in	in	ADP
aiti-15175	163	2	terms	term	NOUN
aiti-15175	163	3	of	of	ADP
aiti-15175	163	4	data	datum	NOUN
aiti-15175	163	5	preprocessing	preprocessing	NOUN
aiti-15175	163	6	,	,	PUNCT
aiti-15175	163	7	it	it	PRON
aiti-15175	163	8	mainly	mainly	ADV
aiti-15175	163	9	covers	cover	VERB
aiti-15175	163	10	original	original	ADJ
aiti-15175	163	11	signal	signal	NOUN
aiti-15175	163	12	processing	processing	NOUN
aiti-15175	163	13	and	and	CCONJ
aiti-15175	163	14	feature	feature	NOUN
aiti-15175	163	15	extraction	extraction	NOUN
aiti-15175	163	16	,	,	PUNCT
aiti-15175	163	17	including	include	VERB
aiti-15175	163	18	calculation	calculation	NOUN
aiti-15175	163	19	formulas	formula	NOUN
aiti-15175	163	20	of	of	ADP
aiti-15175	163	21	time	time	NOUN
aiti-15175	163	22	-	-	PUNCT
aiti-15175	163	23	domain	domain	NOUN
aiti-15175	163	24	features	feature	NOUN
aiti-15175	163	25	,	,	PUNCT
aiti-15175	163	26	frequency	frequency	NOUN
aiti-15175	163	27	-	-	PUNCT
aiti-15175	163	28	domain	domain	NOUN
aiti-15175	163	29	features	feature	NOUN
aiti-15175	163	30	,	,	PUNCT
aiti-15175	163	31	and	and	CCONJ
aiti-15175	163	32	time	time	NOUN
aiti-15175	163	33	-	-	PUNCT
aiti-15175	163	34	frequency	frequency	NOUN
aiti-15175	163	35	domain	domain	NOUN
aiti-15175	163	36	features	feature	NOUN
aiti-15175	163	37	.	.	PUNCT
aiti-15175	164	1	3.1	3.1	NUM
aiti-15175	164	2	.	.	PUNCT
aiti-15175	164	3	introduction	introduction	NOUN
aiti-15175	164	4	of	of	ADP
aiti-15175	164	5	experimental	experimental	ADJ
aiti-15175	164	6	data	datum	NOUN
aiti-15175	164	7	the	the	DET
aiti-15175	164	8	dataset	dataset	NOUN
aiti-15175	164	9	from	from	ADP
aiti-15175	164	10	the	the	DET
aiti-15175	164	11	phm2010	phm2010	NOUN
aiti-15175	164	12	data	datum	NOUN
aiti-15175	164	13	challenge	challenge	NOUN
aiti-15175	164	14	was	be	AUX
aiti-15175	164	15	used	use	VERB
aiti-15175	164	16	for	for	ADP
aiti-15175	164	17	this	this	DET
aiti-15175	164	18	experimental	experimental	ADJ
aiti-15175	164	19	validation	validation	NOUN
aiti-15175	164	20	[	[	X
aiti-15175	164	21	1	1	NUM
aiti-15175	164	22	]	]	PUNCT
aiti-15175	164	23	.	.	PUNCT
aiti-15175	165	1	the	the	DET
aiti-15175	165	2	rfm760	rfm760	PROPN
aiti-15175	165	3	cnc	cnc	PROPN
aiti-15175	165	4	machine	machine	NOUN
aiti-15175	165	5	tool	tool	NOUN
aiti-15175	165	6	was	be	AUX
aiti-15175	165	7	selected	select	VERB
aiti-15175	165	8	as	as	ADP
aiti-15175	165	9	the	the	DET
aiti-15175	165	10	experimental	experimental	ADJ
aiti-15175	165	11	platform	platform	NOUN
aiti-15175	165	12	,	,	PUNCT
aiti-15175	165	13	with	with	ADP
aiti-15175	165	14	a	a	DET
aiti-15175	165	15	three	three	NUM
aiti-15175	165	16	-	-	PUNCT
aiti-15175	165	17	flute	flute	NOUN
aiti-15175	165	18	tungsten	tungsten	NOUN
aiti-15175	165	19	carbide	carbide	NOUN
aiti-15175	165	20	ball	ball	NOUN
aiti-15175	165	21	-	-	PUNCT
aiti-15175	165	22	end	end	NOUN
aiti-15175	165	23	milling	milling	NOUN
aiti-15175	165	24	cutter	cutter	NOUN
aiti-15175	165	25	as	as	ADP
aiti-15175	165	26	the	the	DET
aiti-15175	165	27	cutting	cut	VERB
aiti-15175	165	28	tool	tool	NOUN
aiti-15175	165	29	,	,	PUNCT
aiti-15175	165	30	to	to	PART
aiti-15175	165	31	cut	cut	VERB
aiti-15175	165	32	the	the	DET
aiti-15175	165	33	stainless	stainless	ADJ
aiti-15175	165	34	steel	steel	NOUN
aiti-15175	165	35	(	(	PUNCT
aiti-15175	165	36	rc52	rc52	PROPN
aiti-15175	165	37	)	)	PUNCT
aiti-15175	165	38	material	material	NOUN
aiti-15175	165	39	.	.	PUNCT
aiti-15175	166	1	the	the	DET
aiti-15175	166	2	specific	specific	ADJ
aiti-15175	166	3	experimental	experimental	ADJ
aiti-15175	166	4	equipment	equipment	NOUN
aiti-15175	166	5	and	and	CCONJ
aiti-15175	166	6	milling	milling	NOUN
aiti-15175	166	7	parameters	parameter	NOUN
aiti-15175	166	8	are	be	AUX
aiti-15175	166	9	shown	show	VERB
aiti-15175	166	10	in	in	ADP
aiti-15175	166	11	table	table	NOUN
aiti-15175	166	12	2	2	NUM
aiti-15175	166	13	.	.	PUNCT
aiti-15175	166	14	table	table	NOUN
aiti-15175	166	15	2	2	NUM
aiti-15175	166	16	experimental	experimental	ADJ
aiti-15175	166	17	equipment	equipment	NOUN
aiti-15175	166	18	and	and	CCONJ
aiti-15175	166	19	milling	mill	VERB
aiti-15175	166	20	parameters	parameter	NOUN
aiti-15175	166	21	equipment	equipment	NOUN
aiti-15175	166	22	type	type	NOUN
aiti-15175	166	23	experimental	experimental	ADJ
aiti-15175	166	24	equipment	equipment	NOUN
aiti-15175	166	25	milling	milling	NOUN
aiti-15175	166	26	parameters	parameter	NOUN
aiti-15175	166	27	parameterization	parameterization	NOUN
aiti-15175	166	28	machine	machine	NOUN
aiti-15175	166	29	type	type	NOUN
aiti-15175	166	30	roders	roder	NOUN
aiti-15175	166	31	rfm760	rfm760	PROPN
aiti-15175	166	32	spindle	spindle	NOUN
aiti-15175	166	33	speed	speed	NOUN
aiti-15175	166	34	10,400	10,400	NUM
aiti-15175	166	35	r	r	NOUN
aiti-15175	166	36	/	/	SYM
aiti-15175	166	37	min	min	NOUN
aiti-15175	166	38	cutters	cutter	NOUN
aiti-15175	166	39	ball	ball	NOUN
aiti-15175	166	40	tungsten	tungsten	VERB
aiti-15175	166	41	carbide	carbide	NOUN
aiti-15175	166	42	milling	milling	NOUN
aiti-15175	166	43	cutter	cutter	NOUN
aiti-15175	166	44	feed	feed	NOUN
aiti-15175	166	45	rate	rate	NOUN
aiti-15175	166	46	1,555	1,555	NUM
aiti-15175	166	47	mm	mm	NOUN
aiti-15175	166	48	/	/	SYM
aiti-15175	166	49	min	min	NOUN
aiti-15175	166	50	wear	wear	VERB
aiti-15175	166	51	measurement	measurement	NOUN
aiti-15175	166	52	equipment	equipment	NOUN
aiti-15175	166	53	leica	leica	PROPN
aiti-15175	166	54	mz12	mz12	PROPN
aiti-15175	166	55	microscope	microscope	NOUN
aiti-15175	166	56	amount	amount	NOUN
aiti-15175	166	57	of	of	ADP
aiti-15175	166	58	tools	tool	NOUN
aiti-15175	166	59	per	per	ADP
aiti-15175	166	60	travel	travel	NOUN
aiti-15175	166	61	0.001	0.001	NUM
aiti-15175	166	62	mm	mm	NOUN
aiti-15175	166	63	workpiece	workpiece	NOUN
aiti-15175	166	64	materials	material	NOUN
aiti-15175	166	65	stainless	stainless	ADJ
aiti-15175	166	66	steels	steel	NOUN
aiti-15175	166	67	hrc52	hrc52	PROPN
aiti-15175	166	68	cutting	cut	VERB
aiti-15175	166	69	width	width	NOUN
aiti-15175	166	70	0.125	0.125	NUM
aiti-15175	166	71	mm	mm	NOUN
aiti-15175	166	72	data	datum	NOUN
aiti-15175	166	73	acquisition	acquisition	NOUN
aiti-15175	166	74	equipment	equipment	NOUN
aiti-15175	166	75	ni	ni	PROPN
aiti-15175	166	76	daq	daq	PROPN
aiti-15175	166	77	data	data	PROPN
aiti-15175	166	78	acquisition	acquisition	NOUN
aiti-15175	166	79	card	card	NOUN
aiti-15175	166	80	depth	depth	NOUN
aiti-15175	166	81	of	of	ADP
aiti-15175	166	82	cut	cut	VERB
aiti-15175	166	83	0.2	0.2	NUM
aiti-15175	166	84	mm	mm	NOUN
aiti-15175	166	85	boosters	booster	NOUN
aiti-15175	166	86	kistler	kistler	NOUN
aiti-15175	166	87	charge	charge	NOUN
aiti-15175	166	88	amplifier	amplifier	NOUN
aiti-15175	166	89	sampling	sample	VERB
aiti-15175	166	90	frequency	frequency	NOUN
aiti-15175	166	91	50	50	NUM
aiti-15175	166	92	khz	khz	NOUN
aiti-15175	166	93	force	force	NOUN
aiti-15175	166	94	sensor	sensor	NOUN
aiti-15175	166	95	three	three	NUM
aiti-15175	166	96	-	-	PUNCT
aiti-15175	166	97	way	way	NOUN
aiti-15175	166	98	force	force	NOUN
aiti-15175	166	99	gauge	gauge	NOUN
aiti-15175	166	100	milling	milling	NOUN
aiti-15175	166	101	method	method	NOUN
aiti-15175	166	102	milling	mill	VERB
aiti-15175	166	103	with	with	ADP
aiti-15175	166	104	no	no	DET
aiti-15175	166	105	problem	problem	NOUN
aiti-15175	166	106	vibration	vibration	NOUN
aiti-15175	166	107	sensors	sensor	NOUN
aiti-15175	166	108	triaxial	triaxial	ADJ
aiti-15175	166	109	acceleration	acceleration	NOUN
aiti-15175	166	110	sensor	sensor	NOUN
aiti-15175	166	111	cooling	cool	VERB
aiti-15175	166	112	method	method	NOUN
aiti-15175	166	113	dry	dry	ADJ
aiti-15175	166	114	cut	cut	NOUN
aiti-15175	166	115	to	to	PART
aiti-15175	166	116	comprehensively	comprehensively	ADV
aiti-15175	166	117	monitor	monitor	VERB
aiti-15175	166	118	the	the	DET
aiti-15175	166	119	state	state	NOUN
aiti-15175	166	120	of	of	ADP
aiti-15175	166	121	the	the	DET
aiti-15175	166	122	milling	milling	NOUN
aiti-15175	166	123	cutter	cutter	NOUN
aiti-15175	166	124	in	in	ADP
aiti-15175	166	125	the	the	DET
aiti-15175	166	126	machining	machining	NOUN
aiti-15175	166	127	process	process	NOUN
aiti-15175	166	128	,	,	PUNCT
aiti-15175	166	129	a	a	DET
aiti-15175	166	130	variety	variety	NOUN
aiti-15175	166	131	of	of	ADP
aiti-15175	166	132	equipment	equipment	NOUN
aiti-15175	166	133	,	,	PUNCT
aiti-15175	166	134	such	such	ADJ
aiti-15175	166	135	as	as	ADP
aiti-15175	166	136	force	force	NOUN
aiti-15175	166	137	-	-	PUNCT
aiti-15175	166	138	measuring	measure	VERB
aiti-15175	166	139	instruments	instrument	NOUN
aiti-15175	166	140	,	,	PUNCT
aiti-15175	166	141	acceleration	acceleration	NOUN
aiti-15175	166	142	sensors	sensor	NOUN
aiti-15175	166	143	,	,	PUNCT
aiti-15175	166	144	and	and	CCONJ
aiti-15175	166	145	acoustic	acoustic	ADJ
aiti-15175	166	146	emission	emission	NOUN
aiti-15175	166	147	sensors	sensor	NOUN
aiti-15175	166	148	,	,	PUNCT
aiti-15175	166	149	was	be	AUX
aiti-15175	166	150	used	use	VERB
aiti-15175	166	151	to	to	PART
aiti-15175	166	152	collect	collect	VERB
aiti-15175	166	153	the	the	DET
aiti-15175	166	154	original	original	ADJ
aiti-15175	166	155	time	time	NOUN
aiti-15175	166	156	-	-	PUNCT
aiti-15175	166	157	domain	domain	NOUN
aiti-15175	166	158	signals	signal	NOUN
aiti-15175	166	159	,	,	PUNCT
aiti-15175	166	160	such	such	ADJ
aiti-15175	166	161	as	as	ADP
aiti-15175	166	162	cutting	cut	VERB
aiti-15175	166	163	force	force	NOUN
aiti-15175	166	164	,	,	PUNCT
aiti-15175	166	165	vibration	vibration	NOUN
aiti-15175	166	166	,	,	PUNCT
aiti-15175	166	167	and	and	CCONJ
aiti-15175	166	168	acoustic	acoustic	ADJ
aiti-15175	166	169	emission	emission	NOUN
aiti-15175	166	170	.	.	PUNCT
aiti-15175	167	1	these	these	DET
aiti-15175	167	2	signals	signal	NOUN
aiti-15175	167	3	were	be	AUX
aiti-15175	167	4	sampled	sample	VERB
aiti-15175	167	5	at	at	ADP
aiti-15175	167	6	a	a	DET
aiti-15175	167	7	frequency	frequency	NOUN
aiti-15175	167	8	of	of	ADP
aiti-15175	167	9	50	50	NUM
aiti-15175	167	10	khz	khz	NOUN
aiti-15175	167	11	to	to	PART
aiti-15175	167	12	ensure	ensure	VERB
aiti-15175	167	13	the	the	DET
aiti-15175	167	14	accuracy	accuracy	NOUN
aiti-15175	167	15	and	and	CCONJ
aiti-15175	167	16	integrity	integrity	NOUN
aiti-15175	167	17	of	of	ADP
aiti-15175	167	18	the	the	DET
aiti-15175	167	19	data	datum	NOUN
aiti-15175	167	20	.	.	PUNCT
aiti-15175	168	1	in	in	ADP
aiti-15175	168	2	the	the	DET
aiti-15175	168	3	experiment	experiment	NOUN
aiti-15175	168	4	,	,	PUNCT
aiti-15175	168	5	each	each	DET
aiti-15175	168	6	tool	tool	NOUN
aiti-15175	168	7	traveled	travel	VERB
aiti-15175	168	8	108	108	NUM
aiti-15175	168	9	mm	mm	NOUN
aiti-15175	168	10	in	in	ADP
aiti-15175	168	11	the	the	DET
aiti-15175	168	12	x	x	NOUN
aiti-15175	168	13	-	-	NOUN
aiti-15175	168	14	direction	direction	NOUN
aiti-15175	168	15	,	,	PUNCT
aiti-15175	168	16	and	and	CCONJ
aiti-15175	168	17	each	each	DET
aiti-15175	168	18	tool	tool	NOUN
aiti-15175	168	19	traveled	travel	VERB
aiti-15175	168	20	315	315	NUM
aiti-15175	168	21	times	time	NOUN
aiti-15175	168	22	to	to	PART
aiti-15175	168	23	fully	fully	ADV
aiti-15175	168	24	collect	collect	VERB
aiti-15175	168	25	the	the	DET
aiti-15175	168	26	cutting	cutting	NOUN
aiti-15175	168	27	monitoring	monitoring	NOUN
aiti-15175	168	28	signals	signal	NOUN
aiti-15175	168	29	under	under	ADP
aiti-15175	168	30	different	different	ADJ
aiti-15175	168	31	conditions	condition	NOUN
aiti-15175	169	1	[	[	X
aiti-15175	169	2	15	15	NUM
aiti-15175	169	3	]	]	PUNCT
aiti-15175	169	4	.	.	PUNCT
aiti-15175	170	1	through	through	ADP
aiti-15175	170	2	an	an	DET
aiti-15175	170	3	in	in	ADP
aiti-15175	170	4	-	-	PUNCT
aiti-15175	170	5	depth	depth	NOUN
aiti-15175	170	6	analysis	analysis	NOUN
aiti-15175	170	7	of	of	ADP
aiti-15175	170	8	these	these	DET
aiti-15175	170	9	signals	signal	NOUN
aiti-15175	170	10	,	,	PUNCT
aiti-15175	170	11	the	the	DET
aiti-15175	170	12	dynamic	dynamic	ADJ
aiti-15175	170	13	characteristics	characteristic	NOUN
aiti-15175	170	14	of	of	ADP
aiti-15175	170	15	the	the	DET
aiti-15175	170	16	milling	milling	NOUN
aiti-15175	170	17	machining	machining	NOUN
aiti-15175	170	18	process	process	NOUN
aiti-15175	170	19	can	can	AUX
aiti-15175	170	20	be	be	AUX
aiti-15175	170	21	better	well	ADV
aiti-15175	170	22	understood	understand	VERB
aiti-15175	170	23	,	,	PUNCT
aiti-15175	170	24	and	and	CCONJ
aiti-15175	170	25	effective	effective	ADJ
aiti-15175	170	26	data	datum	NOUN
aiti-15175	170	27	can	can	AUX
aiti-15175	170	28	be	be	AUX
aiti-15175	170	29	provided	provide	VERB
aiti-15175	170	30	for	for	ADP
aiti-15175	170	31	the	the	DET
aiti-15175	170	32	subsequent	subsequent	ADJ
aiti-15175	170	33	training	training	NOUN
aiti-15175	170	34	and	and	CCONJ
aiti-15175	170	35	optimization	optimization	NOUN
aiti-15175	170	36	of	of	ADP
aiti-15175	170	37	the	the	DET
aiti-15175	170	38	neural	neural	ADJ
aiti-15175	170	39	network	network	NOUN
aiti-15175	170	40	model	model	NOUN
aiti-15175	170	41	.	.	PUNCT
aiti-15175	171	1	3.2	3.2	NUM
aiti-15175	171	2	.	.	PUNCT
aiti-15175	172	1	data	datum	NOUN
aiti-15175	172	2	preprocessing	preprocesse	VERB
aiti-15175	172	3	to	to	PART
aiti-15175	172	4	allow	allow	VERB
aiti-15175	172	5	the	the	DET
aiti-15175	172	6	model	model	NOUN
aiti-15175	172	7	to	to	PART
aiti-15175	172	8	extract	extract	VERB
aiti-15175	172	9	more	more	ADV
aiti-15175	172	10	accurate	accurate	ADJ
aiti-15175	172	11	and	and	CCONJ
aiti-15175	172	12	effective	effective	ADJ
aiti-15175	172	13	information	information	NOUN
aiti-15175	172	14	,	,	PUNCT
aiti-15175	172	15	the	the	DET
aiti-15175	172	16	original	original	ADJ
aiti-15175	172	17	signal	signal	NOUN
aiti-15175	172	18	requires	require	VERB
aiti-15175	172	19	the	the	DET
aiti-15175	172	20	following	follow	VERB
aiti-15175	172	21	preprocessing	preprocesse	VERB
aiti-15175	172	22	steps	step	NOUN
aiti-15175	172	23	.	.	PUNCT
aiti-15175	173	1	first	first	ADV
aiti-15175	173	2	,	,	PUNCT
aiti-15175	173	3	the	the	DET
aiti-15175	173	4	intense	intense	ADJ
aiti-15175	173	5	vibration	vibration	NOUN
aiti-15175	173	6	signal	signal	NOUN
aiti-15175	173	7	generated	generate	VERB
aiti-15175	173	8	by	by	ADP
aiti-15175	173	9	the	the	DET
aiti-15175	173	10	tool	tool	NOUN
aiti-15175	173	11	cutting	cutting	NOUN
aiti-15175	173	12	is	be	AUX
aiti-15175	173	13	truncated	truncate	VERB
aiti-15175	173	14	.	.	PUNCT
aiti-15175	174	1	subsequently	subsequently	ADV
aiti-15175	174	2	,	,	PUNCT
aiti-15175	174	3	the	the	DET
aiti-15175	174	4	original	original	ADJ
aiti-15175	174	5	signal	signal	NOUN
aiti-15175	174	6	is	be	AUX
aiti-15175	174	7	subjected	subject	VERB
aiti-15175	174	8	to	to	ADP
aiti-15175	174	9	wavelet	wavelet	NOUN
aiti-15175	174	10	threshold	threshold	NOUN
aiti-15175	174	11	processing	processing	NOUN
aiti-15175	174	12	for	for	ADP
aiti-15175	174	13	noise	noise	NOUN
aiti-15175	174	14	reduction	reduction	NOUN
aiti-15175	174	15	.	.	PUNCT
aiti-15175	175	1	feature	feature	NOUN
aiti-15175	175	2	extraction	extraction	NOUN
aiti-15175	175	3	plays	play	VERB
aiti-15175	175	4	an	an	DET
aiti-15175	175	5	important	important	ADJ
aiti-15175	175	6	role	role	NOUN
aiti-15175	175	7	in	in	ADP
aiti-15175	175	8	data	datum	NOUN
aiti-15175	175	9	preprocessing	preprocessing	NOUN
aiti-15175	175	10	.	.	PUNCT
aiti-15175	176	1	to	to	PART
aiti-15175	176	2	obtain	obtain	VERB
aiti-15175	176	3	more	more	ADV
aiti-15175	176	4	comprehensive	comprehensive	ADJ
aiti-15175	176	5	information	information	NOUN
aiti-15175	176	6	about	about	ADP
aiti-15175	176	7	the	the	DET
aiti-15175	176	8	remaining	remain	VERB
aiti-15175	176	9	service	service	NOUN
aiti-15175	176	10	life	life	NOUN
aiti-15175	176	11	of	of	ADP
aiti-15175	176	12	the	the	DET
aiti-15175	176	13	tool	tool	NOUN
aiti-15175	176	14	,	,	PUNCT
aiti-15175	176	15	30	30	NUM
aiti-15175	176	16	features	feature	NOUN
aiti-15175	176	17	from	from	ADP
aiti-15175	176	18	the	the	DET
aiti-15175	176	19	time	time	NOUN
aiti-15175	176	20	domain	domain	NOUN
aiti-15175	176	21	,	,	PUNCT
aiti-15175	176	22	frequency	frequency	NOUN
aiti-15175	176	23	domain	domain	NOUN
aiti-15175	176	24	,	,	PUNCT
aiti-15175	176	25	and	and	CCONJ
aiti-15175	176	26	time	time	NOUN
aiti-15175	176	27	-	-	PUNCT
aiti-15175	176	28	frequency	frequency	NOUN
aiti-15175	176	29	domain	domain	NOUN
aiti-15175	176	30	were	be	AUX
aiti-15175	176	31	extracted	extract	VERB
aiti-15175	176	32	from	from	ADP
aiti-15175	176	33	the	the	DET
aiti-15175	176	34	raw	raw	ADJ
aiti-15175	176	35	signal	signal	NOUN
aiti-15175	176	36	data	datum	NOUN
aiti-15175	176	37	of	of	ADP
aiti-15175	176	38	each	each	DET
aiti-15175	176	39	channel	channel	NOUN
aiti-15175	176	40	.	.	PUNCT
aiti-15175	177	1	after	after	ADP
aiti-15175	177	2	completing	complete	VERB
aiti-15175	177	3	the	the	DET
aiti-15175	177	4	feature	feature	NOUN
aiti-15175	177	5	engineering	engineering	NOUN
aiti-15175	177	6	work	work	NOUN
aiti-15175	177	7	,	,	PUNCT
aiti-15175	177	8	the	the	DET
aiti-15175	177	9	original	original	ADJ
aiti-15175	177	10	datasets	dataset	NOUN
aiti-15175	177	11	c1	c1	NOUN
aiti-15175	177	12	,	,	PUNCT
aiti-15175	177	13	c4	c4	NOUN
aiti-15175	177	14	,	,	PUNCT
aiti-15175	177	15	and	and	CCONJ
aiti-15175	177	16	c6	c6	PROPN
aiti-15175	177	17	correspond	correspond	VERB
aiti-15175	177	18	to	to	ADP
aiti-15175	177	19	a	a	DET
aiti-15175	177	20	feature	feature	NOUN
aiti-15175	177	21	space	space	NOUN
aiti-15175	177	22	of	of	ADP
aiti-15175	177	23	size	size	NOUN
aiti-15175	177	24	(	(	PUNCT
aiti-15175	177	25	315	315	NUM
aiti-15175	177	26	×	×	NOUN
aiti-15175	177	27	6	6	NUM
aiti-15175	177	28	×	×	NOUN
aiti-15175	177	29	30	30	NUM
aiti-15175	177	30	)	)	PUNCT
aiti-15175	177	31	.	.	PUNCT
aiti-15175	178	1	(	(	PUNCT
aiti-15175	178	2	1	1	X
aiti-15175	178	3	)	)	PUNCT
aiti-15175	178	4	time	time	NOUN
aiti-15175	178	5	domain	domain	NOUN
aiti-15175	178	6	features	feature	VERB
aiti-15175	178	7	in	in	ADP
aiti-15175	178	8	the	the	DET
aiti-15175	178	9	time	time	NOUN
aiti-15175	178	10	domain	domain	NOUN
aiti-15175	178	11	,	,	PUNCT
aiti-15175	178	12	a	a	DET
aiti-15175	178	13	total	total	NOUN
aiti-15175	178	14	of	of	ADP
aiti-15175	178	15	18	18	NUM
aiti-15175	178	16	features	feature	NOUN
aiti-15175	178	17	,	,	PUNCT
aiti-15175	178	18	including	include	VERB
aiti-15175	178	19	the	the	DET
aiti-15175	178	20	absolute	absolute	ADJ
aiti-15175	178	21	mean	mean	ADJ
aiti-15175	178	22	,	,	PUNCT
aiti-15175	178	23	maximum	maximum	ADJ
aiti-15175	178	24	value	value	NOUN
aiti-15175	178	25	,	,	PUNCT
aiti-15175	178	26	root	root	NOUN
aiti-15175	178	27	mean	mean	NOUN
aiti-15175	178	28	square	square	ADJ
aiti-15175	178	29	,	,	PUNCT
aiti-15175	178	30	root	root	NOUN
aiti-15175	178	31	amplitude	amplitude	NOUN
aiti-15175	178	32	,	,	PUNCT
aiti-15175	178	33	skewness	skewness	NOUN
aiti-15175	178	34	,	,	PUNCT
aiti-15175	178	35	kurtosis	kurtosis	NOUN
aiti-15175	178	36	,	,	PUNCT
aiti-15175	178	37	shape	shape	NOUN
aiti-15175	178	38	factor	factor	NOUN
aiti-15175	178	39	,	,	PUNCT
aiti-15175	178	40	pulse	pulse	NOUN
aiti-15175	178	41	factor	factor	NOUN
aiti-15175	178	42	,	,	PUNCT
aiti-15175	178	43	teager	teager	NOUN
aiti-15175	178	44	energy	energy	NOUN
aiti-15175	178	45	,	,	PUNCT
aiti-15175	178	46	skewness	skewness	NOUN
aiti-15175	178	47	factor	factor	NOUN
aiti-15175	178	48	,	,	PUNCT
aiti-15175	178	49	crest	crest	NOUN
aiti-15175	178	50	factor	factor	NOUN
aiti-15175	178	51	,	,	PUNCT
aiti-15175	178	52	clearance	clearance	NOUN
aiti-15175	178	53	coefficient	coefficient	NOUN
aiti-15175	178	54	,	,	PUNCT
aiti-15175	178	55	activity	activity	NOUN
aiti-15175	178	56	,	,	PUNCT
aiti-15175	178	57	energy	energy	NOUN
aiti-15175	178	58	entropy	entropy	NOUN
aiti-15175	178	59	,	,	PUNCT
aiti-15175	178	60	fluidity	fluidity	NOUN
aiti-15175	178	61	,	,	PUNCT
aiti-15175	178	62	information	information	NOUN
aiti-15175	178	63	entropy	entropy	PROPN
aiti-15175	178	64	,	,	PUNCT
aiti-15175	178	65	willison	willison	NOUN
aiti-15175	178	66	amplitude	amplitude	NOUN
aiti-15175	178	67	,	,	PUNCT
aiti-15175	178	68	and	and	CCONJ
aiti-15175	178	69	kurtosis	kurtosis	NOUN
aiti-15175	178	70	factor	factor	NOUN
aiti-15175	178	71	,	,	PUNCT
aiti-15175	178	72	are	be	AUX
aiti-15175	178	73	mainly	mainly	ADV
aiti-15175	178	74	extracted	extract	VERB
aiti-15175	178	75	,	,	PUNCT
aiti-15175	178	76	and	and	CCONJ
aiti-15175	178	77	the	the	DET
aiti-15175	178	78	specific	specific	ADJ
aiti-15175	178	79	calculation	calculation	NOUN
aiti-15175	178	80	formulas	formula	NOUN
aiti-15175	178	81	are	be	AUX
aiti-15175	178	82	presented	present	VERB
aiti-15175	178	83	in	in	ADP
aiti-15175	178	84	table	table	NOUN
aiti-15175	178	85	3	3	NUM
aiti-15175	178	86	.	.	PUNCT
aiti-15175	179	1	advances	advance	NOUN
aiti-15175	179	2	in	in	ADP
aiti-15175	179	3	technology	technology	NOUN
aiti-15175	179	4	innovation	innovation	NOUN
aiti-15175	179	5	,	,	PUNCT
aiti-15175	179	6	vol	vol	NOUN
aiti-15175	179	7	.	.	PUNCT
aiti-15175	180	1	x	x	X
aiti-15175	180	2	,	,	PUNCT
aiti-15175	180	3	no	no	INTJ
aiti-15175	180	4	.	.	PUNCT
aiti-15175	181	1	x	x	X
aiti-15175	181	2	,	,	PUNCT
aiti-15175	181	3	20xx	20xx	ADJ
aiti-15175	181	4	,	,	PUNCT
aiti-15175	181	5	pp	pp	PROPN
aiti-15175	181	6	.	.	PUNCT
aiti-15175	182	1	xx	xx	X
aiti-15175	182	2	-	-	PUNCT
aiti-15175	182	3	xx	xx	NUM
aiti-15175	182	4	8	8	NUM
aiti-15175	182	5	table	table	NOUN
aiti-15175	182	6	3	3	NUM
aiti-15175	182	7	time	time	NOUN
aiti-15175	182	8	domain	domain	NOUN
aiti-15175	182	9	feature	feature	NOUN
aiti-15175	182	10	calculation	calculation	NOUN
aiti-15175	182	11	formula	formula	NOUN
aiti-15175	182	12	feature	feature	NOUN
aiti-15175	182	13	formula	formula	NOUN
aiti-15175	182	14	feature	feature	NOUN
aiti-15175	182	15	formula	formula	NOUN
aiti-15175	182	16	absolute	absolute	ADJ
aiti-15175	182	17	mean	mean	ADJ
aiti-15175	182	18	1	1	NUM
aiti-15175	182	19	�	�	PROPN
aiti-15175	182	20	�	�	PROPN
aiti-15175	182	21	|	|	NOUN
aiti-15175	182	22	�	�	PROPN
aiti-15175	182	23	|	|	NOUN
aiti-15175	182	24	�	�	PROPN
aiti-15175	182	25	�	�	PROPN
aiti-15175	182	26	skewness	skewness	NOUN
aiti-15175	182	27	factor	factor	NOUN
aiti-15175	182	28	1	1	NUM
aiti-15175	182	29	∑	∑	PROPN
aiti-15175	182	30	�	�	PROPN
aiti-15175	182	31	�	�	PROPN
aiti-15175	182	32	�	�	PROPN
aiti-15175	182	33	−	−	PROPN
aiti-15175	182	34	�	�	PROPN
aiti-15175	182	35	̅	̅	NOUN
aiti-15175	182	36	�	�	SYM
aiti-15175	182	37	�	�	PROPN
aiti-15175	182	38	�	�	PROPN
aiti-15175	182	39	�	�	PROPN
aiti-15175	182	40	�	�	PROPN
aiti-15175	182	41	�	�	PROPN
aiti-15175	182	42	1	1	NUM
aiti-15175	182	43	∑	∑	PUNCT
aiti-15175	182	44	�	�	PROPN
aiti-15175	182	45	�	�	PROPN
aiti-15175	182	46	�	�	PROPN
aiti-15175	182	47	−	−	PROPN
aiti-15175	182	48	�	�	PROPN
aiti-15175	182	49	̅	̅	NOUN
aiti-15175	182	50	�	�	SYM
aiti-15175	182	51	�	�	PROPN
aiti-15175	182	52	�	�	PROPN
aiti-15175	182	53	�	�	PROPN
aiti-15175	182	54	�	�	PROPN
aiti-15175	182	55	maximum	maximum	PROPN
aiti-15175	182	56	value	value	PROPN
aiti-15175	182	57	�	�	PROPN
aiti-15175	182	58	�	�	PROPN
aiti-15175	182	59	�	�	PROPN
aiti-15175	182	60	�	�	PROPN
aiti-15175	182	61	�	�	PROPN
aiti-15175	182	62	�	�	PROPN
aiti-15175	182	63	,	,	PUNCT
aiti-15175	182	64	�	�	PROPN
aiti-15175	182	65	�	�	PROPN
aiti-15175	182	66	,	,	PUNCT
aiti-15175	182	67	⋯	⋯	PROPN
aiti-15175	182	68	,	,	PUNCT
aiti-15175	182	69	�	�	PROPN
aiti-15175	182	70	�	�	PROPN
aiti-15175	182	71	�	�	PROPN
aiti-15175	182	72	crest	crest	PROPN
aiti-15175	182	73	factor	factor	NOUN
aiti-15175	182	74	�	�	PROPN
aiti-15175	182	75	�	�	PROPN
aiti-15175	182	76	�	�	PROPN
aiti-15175	182	77	�	�	PROPN
aiti-15175	182	78	�	�	PROPN
aiti-15175	182	79	1	1	NUM
aiti-15175	182	80	∑	∑	ADV
aiti-15175	182	81	|	|	PROPN
aiti-15175	182	82	�	�	PROPN
aiti-15175	182	83	|	|	NOUN
aiti-15175	182	84	�	�	PROPN
aiti-15175	182	85	�	�	PROPN
aiti-15175	182	86	�	�	PROPN
aiti-15175	182	87	root	root	NOUN
aiti-15175	182	88	mean	mean	VERB
aiti-15175	182	89	square	square	ADJ
aiti-15175	182	90	1	1	NUM
aiti-15175	182	91	�	�	PROPN
aiti-15175	182	92	�	�	PROPN
aiti-15175	182	93	�	�	PROPN
aiti-15175	182	94	�	�	PROPN
aiti-15175	182	95	�	�	PROPN
aiti-15175	182	96	�	�	PROPN
aiti-15175	182	97	clearance	clearance	NOUN
aiti-15175	182	98	coefficient	coefficient	NOUN
aiti-15175	182	99	!	!	PUNCT
aiti-15175	182	100	�	�	PROPN
aiti-15175	182	101	�	�	PROPN
aiti-15175	182	102	!	!	PUNCT
aiti-15175	182	103	"	"	PUNCT
aiti-15175	182	104	#	#	NOUN
aiti-15175	182	105	root	root	NOUN
aiti-15175	182	106	amplitude	amplitude	NOUN
aiti-15175	182	107	$	$	SYM
aiti-15175	182	108	"	"	PUNCT
aiti-15175	182	109	�	�	PROPN
aiti-15175	182	110	%	%	NOUN
aiti-15175	182	111	&	&	CCONJ
aiti-15175	182	112	'	'	PROPN
aiti-15175	182	113	(	(	PUNCT
aiti-15175	182	114	)	)	PUNCT
aiti-15175	182	115	*	*	PUNCT
aiti-15175	182	116	+	+	NUM
aiti-15175	182	117	activity	activity	NOUN
aiti-15175	182	118	�	�	NOUN
aiti-15175	182	119	,	,	PUNCT
aiti-15175	182	120	!	!	PUNCT
aiti-15175	182	121	-	-	PUNCT
aiti-15175	182	122	�	�	PROPN
aiti-15175	182	123	�	�	PROPN
aiti-15175	182	124	skewness	skewness	NOUN
aiti-15175	182	125	1	1	NUM
aiti-15175	182	126	�	�	PROPN
aiti-15175	182	127	�	�	PROPN
aiti-15175	182	128	.	.	PUNCT
aiti-15175	182	129	�	�	PROPN
aiti-15175	182	130	−	−	PROPN
aiti-15175	182	131	/0	/0	NOUN
aiti-15175	182	132	1	1	NUM
aiti-15175	182	133	�	�	PROPN
aiti-15175	182	134	�	�	PROPN
aiti-15175	182	135	�	�	PROPN
aiti-15175	182	136	energy	energy	NOUN
aiti-15175	182	137	entropy	entropy	NOUN
aiti-15175	182	138	−	−	PROPN
aiti-15175	182	139	�	�	PROPN
aiti-15175	182	140	%	%	NOUN
aiti-15175	182	141	2	2	NUM
aiti-15175	182	142	�	�	PROPN
aiti-15175	182	143	%	%	NOUN
aiti-15175	182	144	�	�	PROPN
aiti-15175	182	145	�	�	PROPN
aiti-15175	182	146	�	�	PROPN
aiti-15175	182	147	kurtosis	kurtosis	VERB
aiti-15175	182	148	1	1	NUM
aiti-15175	182	149	�	�	PROPN
aiti-15175	182	150	�	�	PROPN
aiti-15175	182	151	.	.	PUNCT
aiti-15175	182	152	�	�	PROPN
aiti-15175	182	153	−	−	PROPN
aiti-15175	183	1	/0	/0	NOUN
aiti-15175	183	2	13	13	NUM
aiti-15175	183	3	�	�	PROPN
aiti-15175	183	4	�	�	PROPN
aiti-15175	183	5	fluidity	fluidity	NOUN
aiti-15175	183	6	4∞0	4∞0	NUM
aiti-15175	183	7	7	7	NUM
aiti-15175	183	8	×	×	NOUN
aiti-15175	183	9	9	9	NUM
aiti-15175	183	10	�	�	NOUN
aiti-15175	183	11	7	7	NUM
aiti-15175	183	12	�	�	NOUN
aiti-15175	183	13	*74∞0	*74∞0	NOUN
aiti-15175	183	14	9	9	NUM
aiti-15175	183	15	�	�	PROPN
aiti-15175	183	16	7	7	NUM
aiti-15175	183	17	�	�	PROPN
aiti-15175	183	18	*7	*7	ADJ
aiti-15175	183	19	shape	shape	NOUN
aiti-15175	183	20	factor	factor	NOUN
aiti-15175	183	21	,	,	PUNCT
aiti-15175	183	22	!	!	PUNCT
aiti-15175	183	23	-	-	PUNCT
aiti-15175	183	24	!	!	PUNCT
aiti-15175	184	1	"	"	PUNCT
aiti-15175	184	2	#	#	NOUN
aiti-15175	184	3	information	information	NOUN
aiti-15175	184	4	entropy	entropy	NOUN
aiti-15175	184	5	−	−	PRON
aiti-15175	184	6	�	�	PROPN
aiti-15175	184	7	%	%	NOUN
aiti-15175	184	8	�	�	PROPN
aiti-15175	184	9	�	�	PROPN
aiti-15175	184	10	�	�	PROPN
aiti-15175	184	11	2	2	NUM
aiti-15175	184	12	:	:	PUNCT
aiti-15175	184	13	%	%	PROPN
aiti-15175	184	14	�	�	PROPN
aiti-15175	184	15	�	�	PROPN
aiti-15175	184	16	�	�	PROPN
aiti-15175	184	17	;	;	PUNCT
aiti-15175	184	18	�	�	PROPN
aiti-15175	184	19	�	�	PROPN
aiti-15175	184	20	pulse	pulse	NOUN
aiti-15175	184	21	factor	factor	NOUN
aiti-15175	184	22	�	�	PROPN
aiti-15175	184	23	�	�	PROPN
aiti-15175	184	24	�	�	PROPN
aiti-15175	184	25	�	�	PROPN
aiti-15175	184	26	�	�	PROPN
aiti-15175	184	27	�	�	PROPN
aiti-15175	184	28	1	1	NUM
aiti-15175	184	29	∑	∑	PROPN
aiti-15175	184	30	�	�	PROPN
aiti-15175	184	31	�	�	PROPN
aiti-15175	184	32	�	�	PROPN
aiti-15175	184	33	�	�	PROPN
aiti-15175	184	34	�	�	PROPN
aiti-15175	184	35	willison	willison	PROPN
aiti-15175	184	36	amplitude	amplitude	NOUN
aiti-15175	184	37	1<	1<	NUM
aiti-15175	184	38	�	�	PROPN
aiti-15175	184	39	|	|	NOUN
aiti-15175	184	40	�	�	PROPN
aiti-15175	184	41	=	=	SYM
aiti-15175	184	42	�	�	PROPN
aiti-15175	184	43	−	−	PROPN
aiti-15175	184	44	�	�	PROPN
aiti-15175	184	45	|	|	NOUN
aiti-15175	184	46	>	>	X
aiti-15175	184	47	�	�	PROPN
aiti-15175	184	48	�	�	PROPN
aiti-15175	184	49	teager	teager	NOUN
aiti-15175	184	50	energy	energy	NOUN
aiti-15175	184	51	?	?	PUNCT
aiti-15175	185	1	=	=	PUNCT
aiti-15175	185	2	�	�	PROPN
aiti-15175	185	3	�	�	PROPN
aiti-15175	185	4	−	−	PROPN
aiti-15175	185	5	�	�	PROPN
aiti-15175	185	6	a	a	DET
aiti-15175	185	7	�	�	PROPN
aiti-15175	185	8	bc=	bc=	PROPN
aiti-15175	185	9	�	�	PROPN
aiti-15175	185	10	kurtosis	kurtosis	NOUN
aiti-15175	185	11	factor	factor	NOUN
aiti-15175	185	12	1	1	NUM
aiti-15175	185	13	∑	∑	PROPN
aiti-15175	185	14	�	�	PROPN
aiti-15175	185	15	�	�	PROPN
aiti-15175	185	16	�	�	PROPN
aiti-15175	185	17	−	−	PROPN
aiti-15175	185	18	�	�	PROPN
aiti-15175	185	19	̅	̅	NOUN
aiti-15175	185	20	�	�	NOUN
aiti-15175	185	21	3	3	NUM
aiti-15175	185	22	�	�	PROPN
aiti-15175	185	23	�	�	PROPN
aiti-15175	185	24	�	�	PROPN
aiti-15175	185	25	�	�	PROPN
aiti-15175	185	26	1	1	NUM
aiti-15175	185	27	∑	∑	PUNCT
aiti-15175	185	28	�	�	PROPN
aiti-15175	185	29	�	�	PROPN
aiti-15175	185	30	�	�	PROPN
aiti-15175	185	31	−	−	PROPN
aiti-15175	185	32	�	�	PROPN
aiti-15175	185	33	̅	̅	NOUN
aiti-15175	185	34	�	�	SYM
aiti-15175	185	35	�	�	PROPN
aiti-15175	185	36	�	�	PROPN
aiti-15175	185	37	�	�	PROPN
aiti-15175	185	38	�	�	PROPN
aiti-15175	185	39	−	−	PROPN
aiti-15175	185	40	3	3	NUM
aiti-15175	185	41	(	(	PUNCT
aiti-15175	185	42	2	2	NUM
aiti-15175	185	43	)	)	PUNCT
aiti-15175	185	44	frequency	frequency	NOUN
aiti-15175	185	45	domain	domain	NOUN
aiti-15175	185	46	features	feature	VERB
aiti-15175	185	47	the	the	DET
aiti-15175	185	48	four	four	NUM
aiti-15175	185	49	features	feature	NOUN
aiti-15175	185	50	of	of	ADP
aiti-15175	185	51	center	center	NOUN
aiti-15175	185	52	of	of	ADP
aiti-15175	185	53	gravity	gravity	NOUN
aiti-15175	185	54	frequency	frequency	NOUN
aiti-15175	185	55	(	(	PUNCT
aiti-15175	185	56	fc	fc	PROPN
aiti-15175	185	57	)	)	PUNCT
aiti-15175	185	58	,	,	PUNCT
aiti-15175	185	59	mean	mean	ADJ
aiti-15175	185	60	square	square	ADJ
aiti-15175	185	61	frequency	frequency	NOUN
aiti-15175	185	62	(	(	PUNCT
aiti-15175	185	63	msf	msf	NOUN
aiti-15175	185	64	)	)	PUNCT
aiti-15175	185	65	,	,	PUNCT
aiti-15175	185	66	root	root	NOUN
aiti-15175	185	67	mean	mean	VERB
aiti-15175	185	68	square	square	ADJ
aiti-15175	185	69	frequency	frequency	NOUN
aiti-15175	185	70	(	(	PUNCT
aiti-15175	185	71	rmsf	rmsf	NOUN
aiti-15175	185	72	)	)	PUNCT
aiti-15175	185	73	,	,	PUNCT
aiti-15175	185	74	and	and	CCONJ
aiti-15175	185	75	frequency	frequency	NOUN
aiti-15175	185	76	variance	variance	NOUN
aiti-15175	185	77	(	(	PUNCT
aiti-15175	185	78	vf	vf	NOUN
aiti-15175	185	79	)	)	PUNCT
aiti-15175	185	80	were	be	AUX
aiti-15175	185	81	extracted	extract	VERB
aiti-15175	185	82	mainly	mainly	ADV
aiti-15175	185	83	by	by	ADP
aiti-15175	185	84	fast	fast	ADJ
aiti-15175	185	85	fourier	fourier	NOUN
aiti-15175	185	86	transform	transform	NOUN
aiti-15175	185	87	(	(	PUNCT
aiti-15175	185	88	fft	fft	PROPN
aiti-15175	185	89	)	)	PUNCT
aiti-15175	185	90	in	in	ADP
aiti-15175	185	91	the	the	DET
aiti-15175	185	92	frequency	frequency	NOUN
aiti-15175	185	93	domain	domain	NOUN
aiti-15175	185	94	,	,	PUNCT
aiti-15175	185	95	and	and	CCONJ
aiti-15175	185	96	the	the	DET
aiti-15175	185	97	specific	specific	ADJ
aiti-15175	185	98	calculation	calculation	NOUN
aiti-15175	185	99	formula	formula	NOUN
aiti-15175	185	100	is	be	AUX
aiti-15175	185	101	shown	show	VERB
aiti-15175	185	102	in	in	ADP
aiti-15175	185	103	table	table	NOUN
aiti-15175	185	104	4	4	NUM
aiti-15175	185	105	.	.	PUNCT
aiti-15175	185	106	table	table	NOUN
aiti-15175	185	107	4	4	NUM
aiti-15175	185	108	frequency	frequency	NOUN
aiti-15175	185	109	domain	domain	NOUN
aiti-15175	185	110	feature	feature	NOUN
aiti-15175	185	111	calculation	calculation	NOUN
aiti-15175	185	112	formula	formula	NOUN
aiti-15175	185	113	feature	feature	NOUN
aiti-15175	185	114	formula	formula	NOUN
aiti-15175	185	115	fc	fc	INTJ
aiti-15175	186	1	4	4	NUM
aiti-15175	186	2	7-	7-	NUM
aiti-15175	186	3	�	�	PROPN
aiti-15175	186	4	7	7	NUM
aiti-15175	186	5	�	�	NOUN
aiti-15175	186	6	*7	*7	ADJ
aiti-15175	186	7	=	=	NOUN
aiti-15175	186	8	ef4	ef4	NOUN
aiti-15175	186	9	-	-	PUNCT
aiti-15175	186	10	�	�	PROPN
aiti-15175	186	11	7	7	NUM
aiti-15175	186	12	�	�	NOUN
aiti-15175	186	13	*7	*7	ADJ
aiti-15175	186	14	=	=	NOUN
aiti-15175	186	15	ef	ef	NOUN
aiti-15175	186	16	msf	msf	NOUN
aiti-15175	186	17	4	4	NUM
aiti-15175	186	18	7	7	NUM
aiti-15175	186	19	�	�	PROPN
aiti-15175	186	20	-	-	PUNCT
aiti-15175	186	21	�	�	PROPN
aiti-15175	186	22	7	7	NUM
aiti-15175	186	23	�	�	NOUN
aiti-15175	186	24	*7	*7	ADJ
aiti-15175	186	25	=	=	NOUN
aiti-15175	186	26	ef4	ef4	NOUN
aiti-15175	186	27	-	-	PUNCT
aiti-15175	186	28	�	�	PROPN
aiti-15175	186	29	7	7	NUM
aiti-15175	186	30	�	�	NOUN
aiti-15175	186	31	*7	*7	NOUN
aiti-15175	186	32	=	=	NOUN
aiti-15175	186	33	ef	ef	NOUN
aiti-15175	186	34	rmsf	rmsf	NOUN
aiti-15175	186	35	4	4	NUM
aiti-15175	186	36	7	7	NUM
aiti-15175	186	37	�	�	PROPN
aiti-15175	186	38	-	-	PUNCT
aiti-15175	186	39	�	�	PROPN
aiti-15175	186	40	7	7	NUM
aiti-15175	186	41	�	�	NOUN
aiti-15175	186	42	*7	*7	ADJ
aiti-15175	186	43	=	=	NOUN
aiti-15175	186	44	ef4	ef4	NOUN
aiti-15175	186	45	-	-	PUNCT
aiti-15175	186	46	�	�	PROPN
aiti-15175	186	47	7	7	NUM
aiti-15175	186	48	�	�	NOUN
aiti-15175	186	49	*7	*7	NOUN
aiti-15175	186	50	=	=	SYM
aiti-15175	186	51	ef	ef	X
aiti-15175	186	52	vf	vf	X
aiti-15175	186	53	4	4	NUM
aiti-15175	186	54	�	�	PROPN
aiti-15175	186	55	7	7	NUM
aiti-15175	186	56	−	−	PROPN
aiti-15175	186	57	g	g	PROPN
aiti-15175	186	58	�	�	PROPN
aiti-15175	186	59	�	�	PROPN
aiti-15175	186	60	�	�	PROPN
aiti-15175	186	61	-	-	PUNCT
aiti-15175	186	62	�	�	PROPN
aiti-15175	186	63	7	7	NUM
aiti-15175	186	64	�	�	NOUN
aiti-15175	186	65	*7	*7	ADJ
aiti-15175	186	66	=	=	SYM
aiti-15175	186	67	ef	ef	X
aiti-15175	186	68	4	4	NUM
aiti-15175	186	69	-	-	PUNCT
aiti-15175	186	70	�	�	PROPN
aiti-15175	186	71	7	7	NUM
aiti-15175	186	72	�	�	NOUN
aiti-15175	186	73	*7	*7	NOUN
aiti-15175	186	74	=	=	PRON
aiti-15175	186	75	ef	ef	X
aiti-15175	186	76	(	(	PUNCT
aiti-15175	186	77	3	3	NUM
aiti-15175	186	78	)	)	PUNCT
aiti-15175	186	79	time	time	NOUN
aiti-15175	186	80	and	and	CCONJ
aiti-15175	186	81	frequency	frequency	NOUN
aiti-15175	186	82	domain	domain	NOUN
aiti-15175	186	83	features	feature	VERB
aiti-15175	186	84	the	the	DET
aiti-15175	186	85	db3	db3	PROPN
aiti-15175	186	86	(	(	PUNCT
aiti-15175	186	87	dobesi	dobesi	NOUN
aiti-15175	186	88	limit	limit	NOUN
aiti-15175	186	89	phase	phase	NOUN
aiti-15175	186	90	)	)	PUNCT
aiti-15175	186	91	wavelet	wavelet	NOUN
aiti-15175	186	92	transform	transform	NOUN
aiti-15175	186	93	is	be	AUX
aiti-15175	186	94	mainly	mainly	ADV
aiti-15175	186	95	used	use	VERB
aiti-15175	186	96	in	in	ADP
aiti-15175	186	97	the	the	DET
aiti-15175	186	98	time	time	NOUN
aiti-15175	186	99	-	-	PUNCT
aiti-15175	186	100	frequency	frequency	NOUN
aiti-15175	186	101	domain	domain	NOUN
aiti-15175	186	102	to	to	PART
aiti-15175	186	103	extract	extract	VERB
aiti-15175	186	104	features	feature	NOUN
aiti-15175	186	105	and	and	CCONJ
aiti-15175	186	106	analyze	analyze	VERB
aiti-15175	186	107	the	the	DET
aiti-15175	186	108	data	datum	NOUN
aiti-15175	186	109	of	of	ADP
aiti-15175	186	110	both	both	CCONJ
aiti-15175	186	111	low	low	ADJ
aiti-15175	186	112	and	and	CCONJ
aiti-15175	186	113	high	high	ADJ
aiti-15175	186	114	frequency	frequency	NOUN
aiti-15175	186	115	parts	part	NOUN
aiti-15175	186	116	,	,	PUNCT
aiti-15175	186	117	and	and	CCONJ
aiti-15175	186	118	the	the	DET
aiti-15175	186	119	wavelet	wavelet	NOUN
aiti-15175	186	120	tree	tree	NOUN
aiti-15175	186	121	depth	depth	NOUN
aiti-15175	186	122	used	use	VERB
aiti-15175	186	123	is	be	AUX
aiti-15175	186	124	3	3	NUM
aiti-15175	186	125	.	.	PUNCT
aiti-15175	187	1	the	the	DET
aiti-15175	187	2	wavelet	wavelet	NOUN
aiti-15175	187	3	packet	packet	NOUN
aiti-15175	187	4	transform	transform	NOUN
aiti-15175	187	5	is	be	AUX
aiti-15175	187	6	reconstructed	reconstruct	VERB
aiti-15175	187	7	to	to	PART
aiti-15175	187	8	analyze	analyze	VERB
aiti-15175	187	9	the	the	DET
aiti-15175	187	10	features	feature	NOUN
aiti-15175	187	11	of	of	ADP
aiti-15175	187	12	different	different	ADJ
aiti-15175	187	13	frequency	frequency	NOUN
aiti-15175	187	14	bands	band	NOUN
aiti-15175	187	15	.	.	PUNCT
aiti-15175	188	1	the	the	DET
aiti-15175	188	2	eight	eight	NUM
aiti-15175	188	3	node	node	ADJ
aiti-15175	188	4	coefficients	coefficient	NOUN
aiti-15175	188	5	are	be	AUX
aiti-15175	188	6	parametrised	parametrise	VERB
aiti-15175	188	7	as	as	ADP
aiti-15175	188	8	the	the	DET
aiti-15175	188	9	eight	eight	NUM
aiti-15175	188	10	features	feature	NOUN
aiti-15175	188	11	extracted	extract	VERB
aiti-15175	188	12	in	in	ADP
aiti-15175	188	13	the	the	DET
aiti-15175	188	14	time	time	NOUN
aiti-15175	188	15	-	-	PUNCT
aiti-15175	188	16	frequency	frequency	NOUN
aiti-15175	188	17	domain	domain	NOUN
aiti-15175	188	18	.	.	PUNCT
aiti-15175	189	1	advances	advance	NOUN
aiti-15175	189	2	in	in	ADP
aiti-15175	189	3	technology	technology	NOUN
aiti-15175	189	4	innovation	innovation	NOUN
aiti-15175	189	5	,	,	PUNCT
aiti-15175	189	6	vol	vol	NOUN
aiti-15175	189	7	.	.	PUNCT
aiti-15175	190	1	x	x	X
aiti-15175	190	2	,	,	PUNCT
aiti-15175	190	3	no	no	INTJ
aiti-15175	190	4	.	.	PUNCT
aiti-15175	191	1	x	x	X
aiti-15175	191	2	,	,	PUNCT
aiti-15175	191	3	20xx	20xx	ADJ
aiti-15175	191	4	,	,	PUNCT
aiti-15175	191	5	pp	pp	PROPN
aiti-15175	191	6	.	.	PUNCT
aiti-15175	192	1	xx	xx	X
aiti-15175	192	2	-	-	SYM
aiti-15175	192	3	xx	xx	NUM
aiti-15175	192	4	9	9	NUM
aiti-15175	192	5	4	4	NUM
aiti-15175	192	6	.	.	PUNCT
aiti-15175	192	7	results	result	NOUN
aiti-15175	192	8	and	and	CCONJ
aiti-15175	192	9	discussion	discussion	NOUN
aiti-15175	192	10	in	in	ADP
aiti-15175	192	11	this	this	DET
aiti-15175	192	12	study	study	NOUN
aiti-15175	192	13	,	,	PUNCT
aiti-15175	192	14	the	the	DET
aiti-15175	192	15	sample	sample	NOUN
aiti-15175	192	16	set	set	NOUN
aiti-15175	192	17	was	be	AUX
aiti-15175	192	18	divided	divide	VERB
aiti-15175	192	19	into	into	ADP
aiti-15175	192	20	three	three	NUM
aiti-15175	192	21	sets	set	NOUN
aiti-15175	192	22	of	of	ADP
aiti-15175	192	23	experiments	experiment	NOUN
aiti-15175	192	24	,	,	PUNCT
aiti-15175	192	25	and	and	CCONJ
aiti-15175	192	26	two	two	NUM
aiti-15175	192	27	of	of	ADP
aiti-15175	192	28	the	the	DET
aiti-15175	192	29	three	three	NUM
aiti-15175	192	30	tool	tool	NOUN
aiti-15175	192	31	labeling	labeling	NOUN
aiti-15175	192	32	samples	sample	NOUN
aiti-15175	192	33	were	be	AUX
aiti-15175	192	34	used	use	VERB
aiti-15175	192	35	for	for	ADP
aiti-15175	192	36	training	training	NOUN
aiti-15175	192	37	and	and	CCONJ
aiti-15175	192	38	the	the	DET
aiti-15175	192	39	other	other	ADJ
aiti-15175	192	40	for	for	ADP
aiti-15175	192	41	testing	testing	NOUN
aiti-15175	192	42	in	in	ADP
aiti-15175	192	43	each	each	DET
aiti-15175	192	44	set	set	NOUN
aiti-15175	192	45	of	of	ADP
aiti-15175	192	46	experiments	experiment	NOUN
aiti-15175	192	47	.	.	PUNCT
aiti-15175	193	1	the	the	DET
aiti-15175	193	2	detailed	detailed	ADJ
aiti-15175	193	3	setup	setup	NOUN
aiti-15175	193	4	of	of	ADP
aiti-15175	193	5	the	the	DET
aiti-15175	193	6	experimental	experimental	ADJ
aiti-15175	193	7	groups	group	NOUN
aiti-15175	193	8	is	be	AUX
aiti-15175	193	9	shown	show	VERB
aiti-15175	193	10	in	in	ADP
aiti-15175	193	11	table	table	NOUN
aiti-15175	193	12	5	5	NUM
aiti-15175	193	13	.	.	PUNCT
aiti-15175	193	14	table	table	NOUN
aiti-15175	193	15	5	5	NUM
aiti-15175	193	16	training	training	NOUN
aiti-15175	193	17	and	and	CCONJ
aiti-15175	193	18	test	test	NOUN
aiti-15175	193	19	set	set	VERB
aiti-15175	193	20	setup	setup	NOUN
aiti-15175	193	21	experiment	experiment	NOUN
aiti-15175	193	22	no	no	NOUN
aiti-15175	193	23	.	.	PUNCT
aiti-15175	194	1	training	train	VERB
aiti-15175	194	2	set	set	NOUN
aiti-15175	194	3	test	test	NOUN
aiti-15175	194	4	set	set	VERB
aiti-15175	194	5	e1	e1	PROPN
aiti-15175	194	6	c1	c1	NOUN
aiti-15175	194	7	,	,	PUNCT
aiti-15175	194	8	c4	c4	NOUN
aiti-15175	194	9	c6	c6	PROPN
aiti-15175	194	10	e2	e2	PROPN
aiti-15175	194	11	c1	c1	PROPN
aiti-15175	194	12	,	,	PUNCT
aiti-15175	194	13	c6	c6	PROPN
aiti-15175	194	14	c4	c4	PROPN
aiti-15175	194	15	e3	e3	PROPN
aiti-15175	194	16	c4	c4	NOUN
aiti-15175	194	17	,	,	PUNCT
aiti-15175	194	18	c6	c6	PROPN
aiti-15175	194	19	c1	c1	PROPN
aiti-15175	194	20	the	the	DET
aiti-15175	194	21	particle	particle	PROPN
aiti-15175	194	22	fitness	fitness	NOUN
aiti-15175	194	23	convergence	convergence	NOUN
aiti-15175	194	24	curves	curve	NOUN
aiti-15175	194	25	of	of	ADP
aiti-15175	194	26	the	the	DET
aiti-15175	194	27	presented	present	VERB
aiti-15175	194	28	model	model	NOUN
aiti-15175	194	29	across	across	ADP
aiti-15175	194	30	the	the	DET
aiti-15175	194	31	e1	e1	PROPN
aiti-15175	194	32	,	,	PUNCT
aiti-15175	194	33	e2	e2	PROPN
aiti-15175	194	34	,	,	PUNCT
aiti-15175	194	35	and	and	CCONJ
aiti-15175	194	36	e3	e3	VERB
aiti-15175	194	37	experimental	experimental	ADJ
aiti-15175	194	38	groups	group	NOUN
aiti-15175	194	39	are	be	AUX
aiti-15175	194	40	presented	present	VERB
aiti-15175	194	41	in	in	ADP
aiti-15175	194	42	figs	fig	NOUN
aiti-15175	194	43	.	.	PUNCT
aiti-15175	195	1	4	4	NUM
aiti-15175	195	2	-	-	SYM
aiti-15175	195	3	6	6	NUM
aiti-15175	195	4	.	.	PUNCT
aiti-15175	196	1	as	as	SCONJ
aiti-15175	196	2	observed	observe	VERB
aiti-15175	196	3	in	in	ADP
aiti-15175	196	4	the	the	DET
aiti-15175	196	5	figures	figure	NOUN
aiti-15175	196	6	,	,	PUNCT
aiti-15175	196	7	the	the	DET
aiti-15175	196	8	fitness	fitness	NOUN
aiti-15175	196	9	value	value	NOUN
aiti-15175	196	10	stabilizes	stabilize	VERB
aiti-15175	196	11	after	after	ADP
aiti-15175	196	12	an	an	DET
aiti-15175	196	13	average	average	NOUN
aiti-15175	196	14	of	of	ADP
aiti-15175	196	15	23	23	NUM
aiti-15175	196	16	iterations	iteration	NOUN
aiti-15175	196	17	.	.	PUNCT
aiti-15175	197	1	the	the	DET
aiti-15175	197	2	optimal	optimal	ADJ
aiti-15175	197	3	learning	learning	NOUN
aiti-15175	197	4	rates	rate	NOUN
aiti-15175	197	5	and	and	CCONJ
aiti-15175	197	6	numbers	number	NOUN
aiti-15175	197	7	of	of	ADP
aiti-15175	197	8	hidden	hide	VERB
aiti-15175	197	9	layer	layer	NOUN
aiti-15175	197	10	units	unit	NOUN
aiti-15175	197	11	for	for	ADP
aiti-15175	197	12	the	the	DET
aiti-15175	197	13	models	model	NOUN
aiti-15175	197	14	corresponding	correspond	VERB
aiti-15175	197	15	to	to	ADP
aiti-15175	197	16	the	the	DET
aiti-15175	197	17	three	three	NUM
aiti-15175	197	18	datasets	dataset	NOUN
aiti-15175	197	19	at	at	ADP
aiti-15175	197	20	this	this	DET
aiti-15175	197	21	stage	stage	NOUN
aiti-15175	197	22	are	be	AUX
aiti-15175	197	23	listed	list	VERB
aiti-15175	197	24	in	in	ADP
aiti-15175	197	25	table	table	NOUN
aiti-15175	197	26	6	6	NUM
aiti-15175	197	27	.	.	PUNCT
aiti-15175	197	28	fig	fig	NOUN
aiti-15175	197	29	.	.	PUNCT
aiti-15175	198	1	4	4	NUM
aiti-15175	198	2	pso	pso	NOUN
aiti-15175	198	3	particle	particle	NOUN
aiti-15175	198	4	fitness	fitness	NOUN
aiti-15175	198	5	curves	curve	NOUN
aiti-15175	198	6	for	for	ADP
aiti-15175	198	7	group	group	NOUN
aiti-15175	198	8	e1	e1	NOUN
aiti-15175	198	9	fig	fig	NOUN
aiti-15175	198	10	.	.	PUNCT
aiti-15175	199	1	5	5	NUM
aiti-15175	199	2	pso	pso	NOUN
aiti-15175	199	3	particle	particle	NOUN
aiti-15175	199	4	fitness	fitness	NOUN
aiti-15175	199	5	curves	curve	NOUN
aiti-15175	199	6	for	for	ADP
aiti-15175	199	7	group	group	NOUN
aiti-15175	199	8	e2	e2	PROPN
aiti-15175	199	9	advances	advance	NOUN
aiti-15175	199	10	in	in	ADP
aiti-15175	199	11	technology	technology	NOUN
aiti-15175	199	12	innovation	innovation	NOUN
aiti-15175	199	13	,	,	PUNCT
aiti-15175	199	14	vol	vol	NOUN
aiti-15175	199	15	.	.	PUNCT
aiti-15175	200	1	x	x	X
aiti-15175	200	2	,	,	PUNCT
aiti-15175	200	3	no	no	INTJ
aiti-15175	200	4	.	.	PUNCT
aiti-15175	201	1	x	x	X
aiti-15175	201	2	,	,	PUNCT
aiti-15175	201	3	20xx	20xx	ADJ
aiti-15175	201	4	,	,	PUNCT
aiti-15175	201	5	pp	pp	PROPN
aiti-15175	201	6	.	.	PUNCT
aiti-15175	202	1	xx	xx	X
aiti-15175	202	2	-	-	SYM
aiti-15175	202	3	xx	xx	NUM
aiti-15175	202	4	10	10	NUM
aiti-15175	202	5	fig	fig	NOUN
aiti-15175	202	6	.	.	PUNCT
aiti-15175	203	1	6	6	NUM
aiti-15175	203	2	pso	pso	NOUN
aiti-15175	203	3	particle	particle	NOUN
aiti-15175	203	4	fitness	fitness	NOUN
aiti-15175	203	5	curves	curve	NOUN
aiti-15175	203	6	for	for	ADP
aiti-15175	203	7	group	group	NOUN
aiti-15175	203	8	e3	e3	NOUN
aiti-15175	203	9	table	table	NOUN
aiti-15175	203	10	6	6	NUM
aiti-15175	203	11	optimal	optimal	ADJ
aiti-15175	203	12	parameters	parameter	NOUN
aiti-15175	203	13	of	of	ADP
aiti-15175	203	14	the	the	DET
aiti-15175	203	15	model	model	NOUN
aiti-15175	203	16	with	with	ADP
aiti-15175	203	17	different	different	ADJ
aiti-15175	203	18	datasets	dataset	NOUN
aiti-15175	203	19	experiment	experiment	NOUN
aiti-15175	203	20	no	no	INTJ
aiti-15175	203	21	.	.	PUNCT
aiti-15175	204	1	e1	e1	PROPN
aiti-15175	204	2	e2	e2	PROPN
aiti-15175	204	3	e3	e3	VERB
aiti-15175	204	4	optimal	optimal	ADJ
aiti-15175	204	5	number	number	NOUN
aiti-15175	204	6	of	of	ADP
aiti-15175	204	7	hidden	hide	VERB
aiti-15175	204	8	layer	layer	NOUN
aiti-15175	204	9	units	unit	NOUN
aiti-15175	204	10	18	18	NUM
aiti-15175	204	11	20	20	NUM
aiti-15175	204	12	20	20	NUM
aiti-15175	204	13	optimal	optimal	ADJ
aiti-15175	204	14	learning	learning	NOUN
aiti-15175	204	15	rate	rate	NOUN
aiti-15175	204	16	0.013	0.013	NUM
aiti-15175	204	17	0.015	0.015	NUM
aiti-15175	204	18	0.02	0.02	NUM
aiti-15175	204	19	optimal	optimal	ADJ
aiti-15175	204	20	weight	weight	NOUN
aiti-15175	204	21	0.46	0.46	NUM
aiti-15175	204	22	0.51	0.51	NUM
aiti-15175	204	23	0.42	0.42	NUM
aiti-15175	204	24	fig	fig	NOUN
aiti-15175	204	25	.	.	PUNCT
aiti-15175	205	1	7	7	NUM
aiti-15175	205	2	train	train	NOUN
aiti-15175	205	3	-	-	PUNCT
aiti-15175	205	4	validation	validation	NOUN
aiti-15175	205	5	loss	loss	NOUN
aiti-15175	205	6	of	of	ADP
aiti-15175	205	7	e1	e1	ADJ
aiti-15175	205	8	fig	fig	NOUN
aiti-15175	205	9	.	.	PUNCT
aiti-15175	206	1	8	8	NUM
aiti-15175	206	2	train	train	NOUN
aiti-15175	206	3	-	-	PUNCT
aiti-15175	206	4	validation	validation	NOUN
aiti-15175	206	5	loss	loss	NOUN
aiti-15175	206	6	of	of	ADP
aiti-15175	206	7	e2	e2	PROPN
aiti-15175	206	8	advances	advance	NOUN
aiti-15175	206	9	in	in	ADP
aiti-15175	206	10	technology	technology	NOUN
aiti-15175	206	11	innovation	innovation	NOUN
aiti-15175	206	12	,	,	PUNCT
aiti-15175	206	13	vol	vol	NOUN
aiti-15175	206	14	.	.	PUNCT
aiti-15175	207	1	x	x	X
aiti-15175	207	2	,	,	PUNCT
aiti-15175	207	3	no	no	INTJ
aiti-15175	207	4	.	.	PUNCT
aiti-15175	208	1	x	x	X
aiti-15175	208	2	,	,	PUNCT
aiti-15175	208	3	20xx	20xx	ADJ
aiti-15175	208	4	,	,	PUNCT
aiti-15175	208	5	pp	pp	PROPN
aiti-15175	208	6	.	.	PUNCT
aiti-15175	209	1	xx	xx	X
aiti-15175	209	2	-	-	SYM
aiti-15175	209	3	xx	xx	NUM
aiti-15175	209	4	11	11	NUM
aiti-15175	209	5	fig	fig	NOUN
aiti-15175	209	6	.	.	PUNCT
aiti-15175	210	1	9	9	NUM
aiti-15175	210	2	train	train	NOUN
aiti-15175	210	3	-	-	PUNCT
aiti-15175	210	4	validation	validation	NOUN
aiti-15175	210	5	loss	loss	NOUN
aiti-15175	210	6	of	of	ADP
aiti-15175	210	7	e3	e3	NOUN
aiti-15175	210	8	the	the	DET
aiti-15175	210	9	obtained	obtain	VERB
aiti-15175	210	10	train_loss	train_loss	ADV
aiti-15175	210	11	and	and	CCONJ
aiti-15175	210	12	val_loss	val_loss	X
aiti-15175	210	13	are	be	AUX
aiti-15175	210	14	shown	show	VERB
aiti-15175	210	15	in	in	ADP
aiti-15175	210	16	figs	fig	NOUN
aiti-15175	210	17	.	.	PUNCT
aiti-15175	211	1	7	7	NUM
aiti-15175	211	2	-	-	SYM
aiti-15175	211	3	9	9	NUM
aiti-15175	211	4	.	.	PUNCT
aiti-15175	212	1	as	as	SCONJ
aiti-15175	212	2	can	can	AUX
aiti-15175	212	3	be	be	AUX
aiti-15175	212	4	observed	observe	VERB
aiti-15175	212	5	from	from	ADP
aiti-15175	212	6	the	the	DET
aiti-15175	212	7	figures	figure	NOUN
aiti-15175	212	8	,	,	PUNCT
aiti-15175	212	9	with	with	ADP
aiti-15175	212	10	the	the	DET
aiti-15175	212	11	increase	increase	NOUN
aiti-15175	212	12	in	in	ADP
aiti-15175	212	13	the	the	DET
aiti-15175	212	14	number	number	NOUN
aiti-15175	212	15	of	of	ADP
aiti-15175	212	16	training	training	NOUN
aiti-15175	212	17	epochs	epoch	NOUN
aiti-15175	212	18	,	,	PUNCT
aiti-15175	212	19	the	the	DET
aiti-15175	212	20	value	value	NOUN
aiti-15175	212	21	of	of	ADP
aiti-15175	212	22	the	the	DET
aiti-15175	212	23	loss	loss	NOUN
aiti-15175	212	24	function	function	NOUN
aiti-15175	212	25	continuously	continuously	ADV
aiti-15175	212	26	decreases	decrease	VERB
aiti-15175	212	27	until	until	ADP
aiti-15175	212	28	convergence	convergence	NOUN
aiti-15175	212	29	,	,	PUNCT
aiti-15175	212	30	which	which	PRON
aiti-15175	212	31	indicates	indicate	VERB
aiti-15175	212	32	that	that	SCONJ
aiti-15175	212	33	the	the	DET
aiti-15175	212	34	model	model	NOUN
aiti-15175	212	35	can	can	AUX
aiti-15175	212	36	effectively	effectively	ADV
aiti-15175	212	37	learn	learn	VERB
aiti-15175	212	38	the	the	DET
aiti-15175	212	39	extracted	extract	VERB
aiti-15175	212	40	signal	signal	NOUN
aiti-15175	212	41	data	data	NOUN
aiti-15175	212	42	features	feature	NOUN
aiti-15175	212	43	.	.	PUNCT
aiti-15175	213	1	the	the	DET
aiti-15175	213	2	specific	specific	ADJ
aiti-15175	213	3	values	value	NOUN
aiti-15175	213	4	of	of	ADP
aiti-15175	213	5	the	the	DET
aiti-15175	213	6	regression	regression	NOUN
aiti-15175	213	7	metrics	metric	NOUN
aiti-15175	213	8	calculated	calculate	VERB
aiti-15175	213	9	by	by	ADP
aiti-15175	213	10	different	different	ADJ
aiti-15175	213	11	algorithms	algorithm	NOUN
aiti-15175	213	12	are	be	AUX
aiti-15175	213	13	shown	show	VERB
aiti-15175	213	14	in	in	ADP
aiti-15175	213	15	table	table	NOUN
aiti-15175	213	16	7	7	NUM
aiti-15175	213	17	.	.	PUNCT
aiti-15175	214	1	concerning	concern	VERB
aiti-15175	214	2	performance	performance	NOUN
aiti-15175	214	3	,	,	PUNCT
aiti-15175	214	4	the	the	DET
aiti-15175	214	5	proposed	propose	VERB
aiti-15175	214	6	method	method	NOUN
aiti-15175	214	7	demonstrates	demonstrate	VERB
aiti-15175	214	8	significant	significant	ADJ
aiti-15175	214	9	advantages	advantage	NOUN
aiti-15175	214	10	in	in	ADP
aiti-15175	214	11	predicting	predict	VERB
aiti-15175	214	12	the	the	DET
aiti-15175	214	13	rul	rul	NOUN
aiti-15175	214	14	of	of	ADP
aiti-15175	214	15	milling	mill	VERB
aiti-15175	214	16	cutters	cutter	NOUN
aiti-15175	214	17	.	.	PUNCT
aiti-15175	215	1	its	its	PRON
aiti-15175	215	2	average	average	ADJ
aiti-15175	215	3	rmse	rmse	NOUN
aiti-15175	215	4	is	be	AUX
aiti-15175	215	5	0.062	0.062	NUM
aiti-15175	215	6	,	,	PUNCT
aiti-15175	215	7	and	and	CCONJ
aiti-15175	215	8	the	the	DET
aiti-15175	215	9	mean	mean	ADJ
aiti-15175	215	10	absolute	absolute	ADJ
aiti-15175	215	11	error	error	NOUN
aiti-15175	215	12	(	(	PUNCT
aiti-15175	215	13	mae	mae	PROPN
aiti-15175	215	14	)	)	PUNCT
aiti-15175	215	15	is	be	AUX
aiti-15175	215	16	0.045	0.045	NUM
aiti-15175	215	17	,	,	PUNCT
aiti-15175	215	18	both	both	PRON
aiti-15175	215	19	of	of	ADP
aiti-15175	215	20	which	which	PRON
aiti-15175	215	21	are	be	AUX
aiti-15175	215	22	lower	low	ADJ
aiti-15175	215	23	than	than	ADP
aiti-15175	215	24	those	those	PRON
aiti-15175	215	25	of	of	ADP
aiti-15175	215	26	the	the	DET
aiti-15175	215	27	other	other	ADJ
aiti-15175	215	28	three	three	NUM
aiti-15175	215	29	models	model	NOUN
aiti-15175	215	30	.	.	PUNCT
aiti-15175	216	1	the	the	DET
aiti-15175	216	2	coefficient	coefficient	NOUN
aiti-15175	216	3	of	of	ADP
aiti-15175	216	4	determination	determination	NOUN
aiti-15175	216	5	(	(	PUNCT
aiti-15175	216	6	r²	r²	NOUN
aiti-15175	216	7	)	)	PUNCT
aiti-15175	216	8	of	of	ADP
aiti-15175	216	9	the	the	DET
aiti-15175	216	10	proposed	propose	VERB
aiti-15175	216	11	method	method	NOUN
aiti-15175	216	12	is	be	AUX
aiti-15175	216	13	0.97	0.97	NUM
aiti-15175	216	14	,	,	PUNCT
aiti-15175	216	15	and	and	CCONJ
aiti-15175	216	16	its	its	PRON
aiti-15175	216	17	prediction	prediction	NOUN
aiti-15175	216	18	accuracy	accuracy	NOUN
aiti-15175	216	19	is	be	AUX
aiti-15175	216	20	also	also	ADV
aiti-15175	216	21	higher	high	ADJ
aiti-15175	216	22	than	than	ADP
aiti-15175	216	23	that	that	PRON
aiti-15175	216	24	of	of	ADP
aiti-15175	216	25	the	the	DET
aiti-15175	216	26	other	other	ADJ
aiti-15175	216	27	three	three	NUM
aiti-15175	216	28	models	model	NOUN
aiti-15175	216	29	,	,	PUNCT
aiti-15175	216	30	indicating	indicate	VERB
aiti-15175	216	31	that	that	SCONJ
aiti-15175	216	32	this	this	DET
aiti-15175	216	33	model	model	NOUN
aiti-15175	216	34	has	have	VERB
aiti-15175	216	35	strong	strong	ADJ
aiti-15175	216	36	capabilities	capability	NOUN
aiti-15175	216	37	in	in	ADP
aiti-15175	216	38	data	datum	NOUN
aiti-15175	216	39	fitting	fitting	ADJ
aiti-15175	216	40	and	and	CCONJ
aiti-15175	216	41	feature	feature	NOUN
aiti-15175	216	42	capturing	capturing	NOUN
aiti-15175	216	43	.	.	PUNCT
aiti-15175	217	1	table	table	NOUN
aiti-15175	217	2	7	7	NUM
aiti-15175	217	3	comparison	comparison	NOUN
aiti-15175	217	4	of	of	ADP
aiti-15175	217	5	evaluation	evaluation	NOUN
aiti-15175	217	6	indicators	indicator	NOUN
aiti-15175	217	7	of	of	ADP
aiti-15175	217	8	different	different	ADJ
aiti-15175	217	9	model	model	NOUN
aiti-15175	217	10	prediction	prediction	NOUN
aiti-15175	217	11	results	result	VERB
aiti-15175	217	12	model	model	NOUN
aiti-15175	217	13	e1	e1	PROPN
aiti-15175	217	14	e2	e2	PROPN
aiti-15175	217	15	e3	e3	PROPN
aiti-15175	217	16	rmse	rmse	NOUN
aiti-15175	217	17	mae	mae	PROPN
aiti-15175	217	18	r2	r2	PROPN
aiti-15175	217	19	rmse	rmse	PROPN
aiti-15175	217	20	mae	mae	PROPN
aiti-15175	217	21	r2	r2	PROPN
aiti-15175	217	22	rmse	rmse	PROPN
aiti-15175	217	23	mae	mae	PROPN
aiti-15175	217	24	r2	r2	PROPN
aiti-15175	217	25	bilstm	bilstm	NOUN
aiti-15175	217	26	0.098	0.098	NUM
aiti-15175	217	27	0.073	0.073	NUM
aiti-15175	217	28	0.83	0.83	NUM
aiti-15175	217	29	0.091	0.091	NUM
aiti-15175	217	30	0.079	0.079	NUM
aiti-15175	217	31	0.83	0.83	NUM
aiti-15175	217	32	0.093	0.093	NUM
aiti-15175	217	33	0.074	0.074	NUM
aiti-15175	217	34	0.83	0.83	NUM
aiti-15175	217	35	multiam	multiam	NOUN
aiti-15175	217	36	-	-	PUNCT
aiti-15175	217	37	bilstm	bilstm	NOUN
aiti-15175	217	38	0.073	0.073	NUM
aiti-15175	217	39	0.057	0.057	NUM
aiti-15175	217	40	0.88	0.88	NUM
aiti-15175	217	41	0.071	0.071	NUM
aiti-15175	217	42	0.057	0.057	NUM
aiti-15175	217	43	0.89	0.89	NUM
aiti-15175	217	44	0.072	0.072	NUM
aiti-15175	217	45	0.059	0.059	NUM
aiti-15175	217	46	0.89	0.89	NUM
aiti-15175	217	47	pso	pso	NOUN
aiti-15175	217	48	-	-	PUNCT
aiti-15175	217	49	am	am	NOUN
aiti-15175	217	50	-	-	PUNCT
aiti-15175	217	51	bilstm	bilstm	NOUN
aiti-15175	217	52	0.067	0.067	NUM
aiti-15175	217	53	0.047	0.047	NUM
aiti-15175	217	54	0.946	0.946	NUM
aiti-15175	217	55	0.065	0.065	NUM
aiti-15175	217	56	0.049	0.049	NUM
aiti-15175	217	57	0.93	0.93	NUM
aiti-15175	217	58	0.065	0.065	NUM
aiti-15175	217	59	0.051	0.051	NUM
aiti-15175	217	60	0.93	0.93	NUM
aiti-15175	217	61	pso	pso	NOUN
aiti-15175	217	62	-	-	PUNCT
aiti-15175	217	63	multiam	multiam	NOUN
aiti-15175	217	64	-	-	PUNCT
aiti-15175	217	65	bilstm	bilstm	NOUN
aiti-15175	217	66	0.063	0.063	NUM
aiti-15175	217	67	0.047	0.047	NUM
aiti-15175	217	68	0.97	0.97	NUM
aiti-15175	217	69	0.062	0.062	NUM
aiti-15175	217	70	0.045	0.045	NUM
aiti-15175	217	71	0.97	0.97	NUM
aiti-15175	217	72	0.061	0.061	NUM
aiti-15175	217	73	0.043	0.043	NUM
aiti-15175	217	74	0.98	0.98	NUM
aiti-15175	217	75	however	however	ADV
aiti-15175	217	76	,	,	PUNCT
aiti-15175	217	77	as	as	SCONJ
aiti-15175	217	78	shown	show	VERB
aiti-15175	217	79	in	in	ADP
aiti-15175	217	80	table	table	NOUN
aiti-15175	217	81	8	8	NUM
aiti-15175	217	82	,	,	PUNCT
aiti-15175	217	83	the	the	DET
aiti-15175	217	84	improved	improved	ADJ
aiti-15175	217	85	performance	performance	NOUN
aiti-15175	217	86	is	be	AUX
aiti-15175	217	87	accompanied	accompany	VERB
aiti-15175	217	88	by	by	ADP
aiti-15175	217	89	an	an	DET
aiti-15175	217	90	increase	increase	NOUN
aiti-15175	217	91	in	in	ADP
aiti-15175	217	92	training	training	NOUN
aiti-15175	217	93	costs	cost	NOUN
aiti-15175	217	94	.	.	PUNCT
aiti-15175	218	1	the	the	DET
aiti-15175	218	2	total	total	ADJ
aiti-15175	218	3	training	training	NOUN
aiti-15175	218	4	time	time	NOUN
aiti-15175	218	5	of	of	ADP
aiti-15175	218	6	the	the	DET
aiti-15175	218	7	pso	pso	NOUN
aiti-15175	218	8	-	-	PUNCT
aiti-15175	218	9	multiam	multiam	NOUN
aiti-15175	218	10	-	-	PUNCT
aiti-15175	218	11	bilstm	bilstm	NOUN
aiti-15175	218	12	model	model	NOUN
aiti-15175	218	13	is	be	AUX
aiti-15175	218	14	57.6	57.6	NUM
aiti-15175	218	15	minutes	minute	NOUN
aiti-15175	218	16	,	,	PUNCT
aiti-15175	218	17	which	which	PRON
aiti-15175	218	18	is	be	AUX
aiti-15175	218	19	significantly	significantly	ADV
aiti-15175	218	20	longer	long	ADJ
aiti-15175	218	21	than	than	ADP
aiti-15175	218	22	that	that	PRON
aiti-15175	218	23	of	of	ADP
aiti-15175	218	24	the	the	DET
aiti-15175	218	25	bilstm	bilstm	NOUN
aiti-15175	218	26	model	model	NOUN
aiti-15175	218	27	(	(	PUNCT
aiti-15175	218	28	12.3	12.3	NUM
aiti-15175	218	29	minutes	minute	NOUN
aiti-15175	218	30	)	)	PUNCT
aiti-15175	218	31	.	.	PUNCT
aiti-15175	219	1	nevertheless	nevertheless	ADV
aiti-15175	219	2	,	,	PUNCT
aiti-15175	219	3	in	in	ADP
aiti-15175	219	4	manufacturing	manufacture	VERB
aiti-15175	219	5	scenarios	scenario	NOUN
aiti-15175	219	6	with	with	ADP
aiti-15175	219	7	strict	strict	ADJ
aiti-15175	219	8	requirements	requirement	NOUN
aiti-15175	219	9	for	for	ADP
aiti-15175	219	10	prediction	prediction	NOUN
aiti-15175	219	11	accuracy	accuracy	NOUN
aiti-15175	219	12	,	,	PUNCT
aiti-15175	219	13	its	its	PRON
aiti-15175	219	14	accurate	accurate	ADJ
aiti-15175	219	15	predictions	prediction	NOUN
aiti-15175	219	16	can	can	AUX
aiti-15175	219	17	effectively	effectively	ADV
aiti-15175	219	18	prevent	prevent	VERB
aiti-15175	219	19	production	production	NOUN
aiti-15175	219	20	failures	failure	NOUN
aiti-15175	219	21	caused	cause	VERB
aiti-15175	219	22	by	by	ADP
aiti-15175	219	23	abnormal	abnormal	ADJ
aiti-15175	219	24	tool	tool	NOUN
aiti-15175	219	25	wear	wear	NOUN
aiti-15175	219	26	.	.	PUNCT
aiti-15175	220	1	the	the	DET
aiti-15175	220	2	long	long	ADJ
aiti-15175	220	3	-	-	PUNCT
aiti-15175	220	4	term	term	NOUN
aiti-15175	220	5	value	value	NOUN
aiti-15175	220	6	greatly	greatly	ADV
aiti-15175	220	7	outweighs	outweigh	VERB
aiti-15175	220	8	the	the	DET
aiti-15175	220	9	investment	investment	NOUN
aiti-15175	220	10	in	in	ADP
aiti-15175	220	11	short	short	ADJ
aiti-15175	220	12	-	-	PUNCT
aiti-15175	220	13	term	term	NOUN
aiti-15175	220	14	training	training	NOUN
aiti-15175	220	15	time	time	NOUN
aiti-15175	220	16	,	,	PUNCT
aiti-15175	220	17	yielding	yield	VERB
aiti-15175	220	18	a	a	DET
aiti-15175	220	19	more	more	ADV
aiti-15175	220	20	reliable	reliable	ADJ
aiti-15175	220	21	technical	technical	ADJ
aiti-15175	220	22	solution	solution	NOUN
aiti-15175	220	23	for	for	ADP
aiti-15175	220	24	tool	tool	NOUN
aiti-15175	220	25	health	health	NOUN
aiti-15175	220	26	management	management	NOUN
aiti-15175	220	27	in	in	ADP
aiti-15175	220	28	intelligent	intelligent	ADJ
aiti-15175	220	29	production	production	NOUN
aiti-15175	220	30	lines	line	NOUN
aiti-15175	220	31	.	.	PUNCT
aiti-15175	221	1	table	table	NOUN
aiti-15175	221	2	8	8	NUM
aiti-15175	221	3	comparison	comparison	NOUN
aiti-15175	221	4	of	of	ADP
aiti-15175	221	5	the	the	DET
aiti-15175	221	6	computational	computational	ADJ
aiti-15175	221	7	cost	cost	NOUN
aiti-15175	221	8	of	of	ADP
aiti-15175	221	9	different	different	ADJ
aiti-15175	221	10	models	model	NOUN
aiti-15175	221	11	model	model	VERB
aiti-15175	221	12	total	total	ADJ
aiti-15175	221	13	training	training	NOUN
aiti-15175	221	14	time	time	NOUN
aiti-15175	221	15	bilstm	bilstm	NOUN
aiti-15175	221	16	12.3	12.3	NUM
aiti-15175	221	17	min	min	NOUN
aiti-15175	221	18	multiam	multiam	NOUN
aiti-15175	221	19	-	-	PUNCT
aiti-15175	221	20	bilstm	bilstm	NOUN
aiti-15175	221	21	45.6	45.6	NUM
aiti-15175	221	22	min	min	NOUN
aiti-15175	221	23	pso	pso	NOUN
aiti-15175	221	24	-	-	PUNCT
aiti-15175	221	25	am	am	NOUN
aiti-15175	221	26	-	-	PUNCT
aiti-15175	221	27	bilstm	bilstm	NOUN
aiti-15175	221	28	50.5	50.5	NUM
aiti-15175	221	29	min	min	NOUN
aiti-15175	221	30	pso	pso	NOUN
aiti-15175	221	31	-	-	PUNCT
aiti-15175	221	32	multiam	multiam	NOUN
aiti-15175	221	33	-	-	PUNCT
aiti-15175	221	34	bilstm	bilstm	NOUN
aiti-15175	221	35	57.6	57.6	NUM
aiti-15175	221	36	min	min	NOUN
aiti-15175	221	37	to	to	PART
aiti-15175	221	38	compare	compare	VERB
aiti-15175	221	39	the	the	DET
aiti-15175	221	40	effect	effect	NOUN
aiti-15175	221	41	of	of	ADP
aiti-15175	221	42	each	each	DET
aiti-15175	221	43	model	model	NOUN
aiti-15175	221	44	,	,	PUNCT
aiti-15175	221	45	figs	fig	NOUN
aiti-15175	221	46	.	.	PUNCT
aiti-15175	222	1	10	10	NUM
aiti-15175	222	2	-	-	SYM
aiti-15175	222	3	12	12	NUM
aiti-15175	222	4	show	show	VERB
aiti-15175	222	5	the	the	DET
aiti-15175	222	6	prediction	prediction	NOUN
aiti-15175	222	7	results	result	NOUN
aiti-15175	222	8	of	of	ADP
aiti-15175	222	9	the	the	DET
aiti-15175	222	10	pso	pso	NOUN
aiti-15175	222	11	-	-	PUNCT
aiti-15175	222	12	multiam	multiam	NOUN
aiti-15175	222	13	-	-	PUNCT
aiti-15175	222	14	bilstm	bilstm	NOUN
aiti-15175	222	15	,	,	PUNCT
aiti-15175	222	16	pso	pso	NOUN
aiti-15175	222	17	-	-	PUNCT
aiti-15175	222	18	bilstm	bilstm	NOUN
aiti-15175	222	19	,	,	PUNCT
aiti-15175	222	20	and	and	CCONJ
aiti-15175	222	21	bilstm	bilstm	NOUN
aiti-15175	222	22	models	model	NOUN
aiti-15175	222	23	for	for	ADP
aiti-15175	222	24	groups	group	NOUN
aiti-15175	222	25	e1	e1	PROPN
aiti-15175	222	26	,	,	PUNCT
aiti-15175	222	27	e2	e2	PROPN
aiti-15175	222	28	,	,	PUNCT
aiti-15175	222	29	and	and	CCONJ
aiti-15175	222	30	e3	e3	NOUN
aiti-15175	222	31	.	.	PUNCT
aiti-15175	223	1	in	in	ADP
aiti-15175	223	2	the	the	DET
aiti-15175	223	3	data	data	NOUN
aiti-15175	223	4	processing	processing	NOUN
aiti-15175	223	5	session	session	NOUN
aiti-15175	223	6	,	,	PUNCT
aiti-15175	223	7	a	a	DET
aiti-15175	223	8	linear	linear	ADJ
aiti-15175	223	9	transformation	transformation	NOUN
aiti-15175	223	10	is	be	AUX
aiti-15175	223	11	applied	apply	VERB
aiti-15175	223	12	to	to	ADP
aiti-15175	223	13	the	the	DET
aiti-15175	223	14	raw	raw	ADJ
aiti-15175	223	15	data	datum	NOUN
aiti-15175	223	16	of	of	ADP
aiti-15175	223	17	the	the	DET
aiti-15175	223	18	rul	rul	NOUN
aiti-15175	223	19	to	to	PART
aiti-15175	223	20	unify	unify	VERB
aiti-15175	223	21	the	the	DET
aiti-15175	223	22	range	range	NOUN
aiti-15175	223	23	of	of	ADP
aiti-15175	223	24	values	value	NOUN
aiti-15175	223	25	to	to	ADP
aiti-15175	223	26	the	the	DET
aiti-15175	223	27	interval	interval	NOUN
aiti-15175	223	28	[	[	X
aiti-15175	223	29	0	0	NUM
aiti-15175	223	30	,	,	PUNCT
aiti-15175	223	31	1	1	NUM
aiti-15175	223	32	]	]	PUNCT
aiti-15175	223	33	.	.	PUNCT
aiti-15175	224	1	after	after	ADP
aiti-15175	224	2	normalizing	normalize	VERB
aiti-15175	224	3	the	the	DET
aiti-15175	224	4	rul	rul	NOUN
aiti-15175	224	5	of	of	ADP
aiti-15175	224	6	the	the	DET
aiti-15175	224	7	tool	tool	NOUN
aiti-15175	224	8	on	on	ADP
aiti-15175	224	9	advances	advance	NOUN
aiti-15175	224	10	in	in	ADP
aiti-15175	224	11	technology	technology	NOUN
aiti-15175	224	12	innovation	innovation	NOUN
aiti-15175	224	13	,	,	PUNCT
aiti-15175	224	14	vol	vol	NOUN
aiti-15175	224	15	.	.	PUNCT
aiti-15175	225	1	x	x	X
aiti-15175	225	2	,	,	PUNCT
aiti-15175	225	3	no	no	INTJ
aiti-15175	225	4	.	.	PUNCT
aiti-15175	226	1	x	x	X
aiti-15175	226	2	,	,	PUNCT
aiti-15175	226	3	20xx	20xx	ADJ
aiti-15175	226	4	,	,	PUNCT
aiti-15175	226	5	pp	pp	PROPN
aiti-15175	226	6	.	.	PUNCT
aiti-15175	227	1	xx	xx	X
aiti-15175	227	2	-	-	SYM
aiti-15175	227	3	xx	xx	PRON
aiti-15175	227	4	12	12	NUM
aiti-15175	227	5	the	the	DET
aiti-15175	227	6	y	y	NOUN
aiti-15175	227	7	-	-	PUNCT
aiti-15175	227	8	axis	axis	NOUN
aiti-15175	227	9	,	,	PUNCT
aiti-15175	227	10	the	the	DET
aiti-15175	227	11	value	value	NOUN
aiti-15175	227	12	of	of	ADP
aiti-15175	227	13	0	0	NUM
aiti-15175	227	14	represents	represent	VERB
aiti-15175	227	15	that	that	SCONJ
aiti-15175	227	16	the	the	DET
aiti-15175	227	17	tool	tool	NOUN
aiti-15175	227	18	life	life	NOUN
aiti-15175	227	19	is	be	AUX
aiti-15175	227	20	exhausted	exhaust	VERB
aiti-15175	227	21	,	,	PUNCT
aiti-15175	227	22	the	the	DET
aiti-15175	227	23	value	value	NOUN
aiti-15175	227	24	of	of	ADP
aiti-15175	227	25	1	1	NUM
aiti-15175	227	26	represents	represent	VERB
aiti-15175	227	27	that	that	SCONJ
aiti-15175	227	28	the	the	DET
aiti-15175	227	29	tool	tool	NOUN
aiti-15175	227	30	is	be	AUX
aiti-15175	227	31	in	in	ADP
aiti-15175	227	32	a	a	DET
aiti-15175	227	33	new	new	ADJ
aiti-15175	227	34	state	state	NOUN
aiti-15175	227	35	,	,	PUNCT
aiti-15175	227	36	and	and	CCONJ
aiti-15175	227	37	the	the	DET
aiti-15175	227	38	intermediate	intermediate	ADJ
aiti-15175	227	39	values	value	NOUN
aiti-15175	227	40	reflect	reflect	VERB
aiti-15175	227	41	that	that	SCONJ
aiti-15175	227	42	the	the	DET
aiti-15175	227	43	tool	tool	NOUN
aiti-15175	227	44	is	be	AUX
aiti-15175	227	45	in	in	ADP
aiti-15175	227	46	different	different	ADJ
aiti-15175	227	47	degrees	degree	NOUN
aiti-15175	227	48	of	of	ADP
aiti-15175	227	49	use	use	NOUN
aiti-15175	227	50	.	.	PUNCT
aiti-15175	228	1	the	the	DET
aiti-15175	228	2	normalization	normalization	NOUN
aiti-15175	228	3	process	process	NOUN
aiti-15175	228	4	eliminates	eliminate	VERB
aiti-15175	228	5	the	the	DET
aiti-15175	228	6	influence	influence	NOUN
aiti-15175	228	7	of	of	ADP
aiti-15175	228	8	the	the	DET
aiti-15175	228	9	original	original	ADJ
aiti-15175	228	10	data	datum	NOUN
aiti-15175	228	11	due	due	ADP
aiti-15175	228	12	to	to	ADP
aiti-15175	228	13	the	the	DET
aiti-15175	228	14	differences	difference	NOUN
aiti-15175	228	15	in	in	ADP
aiti-15175	228	16	the	the	DET
aiti-15175	228	17	scale	scale	NOUN
aiti-15175	228	18	and	and	CCONJ
aiti-15175	228	19	range	range	NOUN
aiti-15175	228	20	of	of	ADP
aiti-15175	228	21	values	value	NOUN
aiti-15175	228	22	,	,	PUNCT
aiti-15175	228	23	and	and	CCONJ
aiti-15175	228	24	provides	provide	VERB
aiti-15175	228	25	a	a	DET
aiti-15175	228	26	more	more	ADV
aiti-15175	228	27	intuitive	intuitive	ADJ
aiti-15175	228	28	picture	picture	NOUN
aiti-15175	228	29	of	of	ADP
aiti-15175	228	30	the	the	DET
aiti-15175	228	31	variation	variation	NOUN
aiti-15175	228	32	of	of	ADP
aiti-15175	228	33	the	the	DET
aiti-15175	228	34	remaining	remain	VERB
aiti-15175	228	35	tool	tool	NOUN
aiti-15175	228	36	life	life	NOUN
aiti-15175	228	37	with	with	ADP
aiti-15175	228	38	the	the	DET
aiti-15175	228	39	number	number	NOUN
aiti-15175	228	40	of	of	ADP
aiti-15175	228	41	cuts	cut	NOUN
aiti-15175	228	42	.	.	PUNCT
aiti-15175	229	1	in	in	ADP
aiti-15175	229	2	this	this	DET
aiti-15175	229	3	graph	graph	NOUN
aiti-15175	229	4	,	,	PUNCT
aiti-15175	229	5	the	the	DET
aiti-15175	229	6	x	x	NOUN
aiti-15175	229	7	-	-	NOUN
aiti-15175	229	8	axis	axis	NOUN
aiti-15175	229	9	represents	represent	VERB
aiti-15175	229	10	the	the	DET
aiti-15175	229	11	number	number	NOUN
aiti-15175	229	12	of	of	ADP
aiti-15175	229	13	cuts	cut	NOUN
aiti-15175	229	14	,	,	PUNCT
aiti-15175	229	15	and	and	CCONJ
aiti-15175	229	16	the	the	DET
aiti-15175	229	17	y	y	NOUN
aiti-15175	229	18	-	-	PUNCT
aiti-15175	229	19	axis	axis	NOUN
aiti-15175	229	20	represents	represent	VERB
aiti-15175	229	21	the	the	DET
aiti-15175	229	22	corresponding	corresponding	ADJ
aiti-15175	229	23	normalized	normalize	VERB
aiti-15175	229	24	value	value	NOUN
aiti-15175	229	25	of	of	ADP
aiti-15175	229	26	the	the	DET
aiti-15175	229	27	rul	rul	NOUN
aiti-15175	230	1	.	.	PUNCT
aiti-15175	230	2	fig	fig	NOUN
aiti-15175	230	3	.	.	PUNCT
aiti-15175	231	1	10	10	NUM
aiti-15175	231	2	prediction	prediction	NOUN
aiti-15175	231	3	effect	effect	NOUN
aiti-15175	231	4	on	on	ADP
aiti-15175	231	5	group	group	NOUN
aiti-15175	231	6	e1	e1	PROPN
aiti-15175	231	7	fig	fig	NOUN
aiti-15175	231	8	.	.	PUNCT
aiti-15175	232	1	11	11	NUM
aiti-15175	232	2	prediction	prediction	NOUN
aiti-15175	232	3	effect	effect	NOUN
aiti-15175	232	4	on	on	ADP
aiti-15175	232	5	group	group	PROPN
aiti-15175	232	6	e2	e2	PROPN
aiti-15175	232	7	fig	fig	PROPN
aiti-15175	232	8	.	.	PUNCT
aiti-15175	233	1	12	12	NUM
aiti-15175	233	2	prediction	prediction	NOUN
aiti-15175	233	3	effect	effect	NOUN
aiti-15175	233	4	on	on	ADP
aiti-15175	233	5	group	group	NOUN
aiti-15175	233	6	e3	e3	NOUN
aiti-15175	233	7	advances	advance	NOUN
aiti-15175	233	8	in	in	ADP
aiti-15175	233	9	technology	technology	NOUN
aiti-15175	233	10	innovation	innovation	NOUN
aiti-15175	233	11	,	,	PUNCT
aiti-15175	233	12	vol	vol	NOUN
aiti-15175	233	13	.	.	PUNCT
aiti-15175	234	1	x	x	X
aiti-15175	234	2	,	,	PUNCT
aiti-15175	234	3	no	no	INTJ
aiti-15175	234	4	.	.	PUNCT
aiti-15175	235	1	x	x	X
aiti-15175	235	2	,	,	PUNCT
aiti-15175	235	3	20xx	20xx	ADJ
aiti-15175	235	4	,	,	PUNCT
aiti-15175	235	5	pp	pp	PROPN
aiti-15175	235	6	.	.	PUNCT
aiti-15175	236	1	xx	xx	X
aiti-15175	236	2	-	-	SYM
aiti-15175	236	3	xx	xx	NUM
aiti-15175	236	4	13	13	NUM
aiti-15175	236	5	as	as	SCONJ
aiti-15175	236	6	depicted	depict	VERB
aiti-15175	236	7	in	in	ADP
aiti-15175	236	8	figs	fig	NOUN
aiti-15175	236	9	.	.	PUNCT
aiti-15175	237	1	10	10	NUM
aiti-15175	237	2	-	-	SYM
aiti-15175	237	3	12	12	NUM
aiti-15175	237	4	,	,	PUNCT
aiti-15175	237	5	due	due	ADP
aiti-15175	237	6	to	to	ADP
aiti-15175	237	7	the	the	DET
aiti-15175	237	8	lack	lack	NOUN
aiti-15175	237	9	of	of	ADP
aiti-15175	237	10	pso	pso	NOUN
aiti-15175	237	11	hyperparameter	hyperparameter	NOUN
aiti-15175	237	12	optimization	optimization	NOUN
aiti-15175	237	13	,	,	PUNCT
aiti-15175	237	14	the	the	DET
aiti-15175	237	15	multiam	multiam	NOUN
aiti-15175	237	16	-	-	PUNCT
aiti-15175	237	17	bilstm	bilstm	NOUN
aiti-15175	237	18	model	model	NOUN
aiti-15175	237	19	is	be	AUX
aiti-15175	237	20	not	not	PART
aiti-15175	237	21	well	well	ADV
aiti-15175	237	22	adapted	adapt	VERB
aiti-15175	237	23	to	to	ADP
aiti-15175	237	24	the	the	DET
aiti-15175	237	25	data	datum	NOUN
aiti-15175	237	26	distribution	distribution	NOUN
aiti-15175	237	27	,	,	PUNCT
aiti-15175	237	28	and	and	CCONJ
aiti-15175	237	29	its	its	PRON
aiti-15175	237	30	prediction	prediction	NOUN
aiti-15175	237	31	accuracy	accuracy	NOUN
aiti-15175	237	32	and	and	CCONJ
aiti-15175	237	33	stability	stability	NOUN
aiti-15175	237	34	are	be	AUX
aiti-15175	237	35	inferior	inferior	ADJ
aiti-15175	237	36	to	to	ADP
aiti-15175	237	37	those	those	PRON
aiti-15175	237	38	of	of	ADP
aiti-15175	237	39	the	the	DET
aiti-15175	237	40	model	model	NOUN
aiti-15175	237	41	with	with	ADP
aiti-15175	237	42	pso	pso	NOUN
aiti-15175	237	43	optimization	optimization	NOUN
aiti-15175	237	44	.	.	PUNCT
aiti-15175	238	1	when	when	SCONJ
aiti-15175	238	2	comparing	compare	VERB
aiti-15175	238	3	the	the	DET
aiti-15175	238	4	pso	pso	NOUN
aiti-15175	238	5	-	-	PUNCT
aiti-15175	238	6	multiam	multiam	NOUN
aiti-15175	238	7	-	-	PUNCT
aiti-15175	238	8	bilstm	bilstm	NOUN
aiti-15175	238	9	model	model	NOUN
aiti-15175	238	10	with	with	ADP
aiti-15175	238	11	the	the	DET
aiti-15175	238	12	pso	pso	NOUN
aiti-15175	238	13	-	-	PUNCT
aiti-15175	238	14	am	am	NOUN
aiti-15175	238	15	-	-	PUNCT
aiti-15175	238	16	bilstm	bilstm	NOUN
aiti-15175	238	17	model	model	NOUN
aiti-15175	238	18	,	,	PUNCT
aiti-15175	238	19	the	the	DET
aiti-15175	238	20	prediction	prediction	NOUN
aiti-15175	238	21	curve	curve	NOUN
aiti-15175	238	22	of	of	ADP
aiti-15175	238	23	the	the	DET
aiti-15175	238	24	pso	pso	NOUN
aiti-15175	238	25	-	-	PUNCT
aiti-15175	238	26	am	am	NOUN
aiti-15175	238	27	-	-	PUNCT
aiti-15175	238	28	bilstm	bilstm	NOUN
aiti-15175	238	29	model	model	NOUN
aiti-15175	238	30	fluctuates	fluctuate	VERB
aiti-15175	238	31	significantly	significantly	ADV
aiti-15175	238	32	,	,	PUNCT
aiti-15175	238	33	particularly	particularly	ADV
aiti-15175	238	34	within	within	ADP
aiti-15175	238	35	the	the	DET
aiti-15175	238	36	50	50	NUM
aiti-15175	238	37	-	-	PUNCT
aiti-15175	238	38	200	200	NUM
aiti-15175	238	39	cutting	cutting	NOUN
aiti-15175	238	40	interval	interval	NOUN
aiti-15175	238	41	,	,	PUNCT
aiti-15175	238	42	indicating	indicate	VERB
aiti-15175	238	43	that	that	SCONJ
aiti-15175	238	44	the	the	DET
aiti-15175	238	45	basic	basic	ADJ
aiti-15175	238	46	am	am	NOUN
aiti-15175	238	47	is	be	AUX
aiti-15175	238	48	less	less	ADV
aiti-15175	238	49	effective	effective	ADJ
aiti-15175	238	50	than	than	ADP
aiti-15175	238	51	the	the	DET
aiti-15175	238	52	multiam	multiam	NOUN
aiti-15175	238	53	in	in	ADP
aiti-15175	238	54	extracting	extract	VERB
aiti-15175	238	55	features	feature	NOUN
aiti-15175	238	56	under	under	ADP
aiti-15175	238	57	complex	complex	ADJ
aiti-15175	238	58	working	work	VERB
aiti-15175	238	59	conditions	condition	NOUN
aiti-15175	238	60	.	.	PUNCT
aiti-15175	239	1	its	its	PRON
aiti-15175	239	2	prediction	prediction	NOUN
aiti-15175	239	3	stability	stability	NOUN
aiti-15175	239	4	is	be	AUX
aiti-15175	239	5	also	also	ADV
aiti-15175	239	6	slightly	slightly	ADV
aiti-15175	239	7	worse	bad	ADJ
aiti-15175	239	8	.	.	PUNCT
aiti-15175	240	1	in	in	ADP
aiti-15175	240	2	other	other	ADJ
aiti-15175	240	3	words	word	NOUN
aiti-15175	240	4	,	,	PUNCT
aiti-15175	240	5	the	the	DET
aiti-15175	240	6	life	life	NOUN
aiti-15175	240	7	curve	curve	NOUN
aiti-15175	240	8	of	of	ADP
aiti-15175	240	9	the	the	DET
aiti-15175	240	10	pso	pso	NOUN
aiti-15175	240	11	-	-	PUNCT
aiti-15175	240	12	multiam	multiam	NOUN
aiti-15175	240	13	-	-	PUNCT
aiti-15175	240	14	bilstm	bilstm	NOUN
aiti-15175	240	15	model	model	NOUN
aiti-15175	240	16	is	be	AUX
aiti-15175	240	17	closer	close	ADJ
aiti-15175	240	18	to	to	ADP
aiti-15175	240	19	the	the	DET
aiti-15175	240	20	real	real	ADJ
aiti-15175	240	21	life	life	NOUN
aiti-15175	240	22	curve	curve	NOUN
aiti-15175	240	23	,	,	PUNCT
aiti-15175	240	24	indicating	indicate	VERB
aiti-15175	240	25	that	that	SCONJ
aiti-15175	240	26	this	this	DET
aiti-15175	240	27	model	model	NOUN
aiti-15175	240	28	is	be	AUX
aiti-15175	240	29	more	more	ADV
aiti-15175	240	30	accurate	accurate	ADJ
aiti-15175	240	31	in	in	ADP
aiti-15175	240	32	predicting	predict	VERB
aiti-15175	240	33	the	the	DET
aiti-15175	240	34	remaining	remain	VERB
aiti-15175	240	35	life	life	NOUN
aiti-15175	240	36	of	of	ADP
aiti-15175	240	37	tool	tool	NOUN
aiti-15175	240	38	wear	wear	VERB
aiti-15175	240	39	and	and	CCONJ
aiti-15175	240	40	reflects	reflect	VERB
aiti-15175	240	41	the	the	DET
aiti-15175	240	42	advantages	advantage	NOUN
aiti-15175	240	43	of	of	ADP
aiti-15175	240	44	pso	pso	NOUN
aiti-15175	240	45	in	in	ADP
aiti-15175	240	46	optimizing	optimize	VERB
aiti-15175	240	47	hyperparameters	hyperparameter	NOUN
aiti-15175	240	48	and	and	CCONJ
aiti-15175	240	49	the	the	DET
aiti-15175	240	50	am	am	NOUN
aiti-15175	240	51	in	in	ADP
aiti-15175	240	52	focusing	focus	VERB
aiti-15175	240	53	on	on	ADP
aiti-15175	240	54	key	key	ADJ
aiti-15175	240	55	features	feature	NOUN
aiti-15175	240	56	.	.	PUNCT
aiti-15175	241	1	this	this	PRON
aiti-15175	241	2	demonstrates	demonstrate	VERB
aiti-15175	241	3	that	that	SCONJ
aiti-15175	241	4	the	the	DET
aiti-15175	241	5	proposed	propose	VERB
aiti-15175	241	6	method	method	NOUN
aiti-15175	241	7	can	can	AUX
aiti-15175	241	8	more	more	ADV
aiti-15175	241	9	accurately	accurately	ADV
aiti-15175	241	10	identify	identify	VERB
aiti-15175	241	11	the	the	DET
aiti-15175	241	12	degree	degree	NOUN
aiti-15175	241	13	of	of	ADP
aiti-15175	241	14	tool	tool	NOUN
aiti-15175	241	15	degradation	degradation	NOUN
aiti-15175	241	16	.	.	PUNCT
aiti-15175	242	1	to	to	PART
aiti-15175	242	2	delve	delve	VERB
aiti-15175	242	3	into	into	ADP
aiti-15175	242	4	the	the	DET
aiti-15175	242	5	advantages	advantage	NOUN
aiti-15175	242	6	of	of	ADP
aiti-15175	242	7	the	the	DET
aiti-15175	242	8	deep	deep	ADJ
aiti-15175	242	9	learning	learn	VERB
aiti-15175	242	10	hybrid	hybrid	ADJ
aiti-15175	242	11	model	model	NOUN
aiti-15175	242	12	,	,	PUNCT
aiti-15175	242	13	four	four	NUM
aiti-15175	242	14	comparison	comparison	NOUN
aiti-15175	242	15	models	model	NOUN
aiti-15175	242	16	,	,	PUNCT
aiti-15175	242	17	including	include	VERB
aiti-15175	242	18	rnn	rnn	PROPN
aiti-15175	242	19	[	[	PUNCT
aiti-15175	242	20	20	20	NUM
aiti-15175	242	21	]	]	PUNCT
aiti-15175	242	22	,	,	PUNCT
aiti-15175	242	23	cnn	cnn	PROPN
aiti-15175	242	24	-	-	PUNCT
aiti-15175	242	25	bilstm	bilstm	NOUN
aiti-15175	243	1	[	[	X
aiti-15175	243	2	21	21	NUM
aiti-15175	243	3	]	]	PUNCT
aiti-15175	243	4	,	,	PUNCT
aiti-15175	243	5	and	and	CCONJ
aiti-15175	243	6	bigru	bigru	VERB
aiti-15175	243	7	[	[	X
aiti-15175	243	8	22	22	NUM
aiti-15175	243	9	]	]	PUNCT
aiti-15175	243	10	,	,	PUNCT
aiti-15175	243	11	are	be	AUX
aiti-15175	243	12	employed	employ	VERB
aiti-15175	243	13	for	for	ADP
aiti-15175	243	14	experiments	experiment	NOUN
aiti-15175	243	15	,	,	PUNCT
aiti-15175	243	16	and	and	CCONJ
aiti-15175	243	17	the	the	DET
aiti-15175	243	18	results	result	NOUN
aiti-15175	243	19	are	be	AUX
aiti-15175	243	20	shown	show	VERB
aiti-15175	243	21	in	in	ADP
aiti-15175	243	22	table	table	NOUN
aiti-15175	243	23	9	9	NUM
aiti-15175	243	24	.	.	PUNCT
aiti-15175	244	1	the	the	DET
aiti-15175	244	2	findings	finding	NOUN
aiti-15175	244	3	indicate	indicate	VERB
aiti-15175	244	4	that	that	SCONJ
aiti-15175	244	5	the	the	DET
aiti-15175	244	6	pso	pso	NOUN
aiti-15175	244	7	-	-	PUNCT
aiti-15175	244	8	am	am	NOUN
aiti-15175	244	9	-	-	PUNCT
aiti-15175	244	10	bilstm	bilstm	NOUN
aiti-15175	244	11	model	model	NOUN
aiti-15175	244	12	performs	perform	VERB
aiti-15175	244	13	best	good	ADJ
aiti-15175	244	14	among	among	ADP
aiti-15175	244	15	all	all	DET
aiti-15175	244	16	compared	compare	VERB
aiti-15175	244	17	models	model	NOUN
aiti-15175	244	18	,	,	PUNCT
aiti-15175	244	19	yielding	yield	VERB
aiti-15175	244	20	the	the	DET
aiti-15175	244	21	lowest	low	ADJ
aiti-15175	244	22	rmse	rmse	NOUN
aiti-15175	244	23	and	and	CCONJ
aiti-15175	244	24	mae	mae	PROPN
aiti-15175	244	25	values	value	NOUN
aiti-15175	244	26	.	.	PUNCT
aiti-15175	245	1	this	this	PRON
aiti-15175	245	2	validates	validate	VERB
aiti-15175	245	3	the	the	DET
aiti-15175	245	4	superiority	superiority	NOUN
aiti-15175	245	5	of	of	ADP
aiti-15175	245	6	combining	combine	VERB
aiti-15175	245	7	pso	pso	NOUN
aiti-15175	245	8	,	,	PUNCT
aiti-15175	245	9	multiam	multiam	PROPN
aiti-15175	245	10	,	,	PUNCT
aiti-15175	245	11	and	and	CCONJ
aiti-15175	245	12	bilstm	bilstm	NOUN
aiti-15175	245	13	.	.	PUNCT
aiti-15175	246	1	pso	pso	NOUN
aiti-15175	246	2	optimizes	optimize	VERB
aiti-15175	246	3	hyperparameters	hyperparameter	NOUN
aiti-15175	246	4	to	to	PART
aiti-15175	246	5	adapt	adapt	VERB
aiti-15175	246	6	the	the	DET
aiti-15175	246	7	model	model	NOUN
aiti-15175	246	8	to	to	ADP
aiti-15175	246	9	the	the	DET
aiti-15175	246	10	data	datum	NOUN
aiti-15175	246	11	distribution	distribution	NOUN
aiti-15175	246	12	,	,	PUNCT
aiti-15175	246	13	while	while	SCONJ
aiti-15175	246	14	multiam	multiam	NOUN
aiti-15175	246	15	focuses	focus	VERB
aiti-15175	246	16	on	on	ADP
aiti-15175	246	17	key	key	ADJ
aiti-15175	246	18	temporal	temporal	ADJ
aiti-15175	246	19	features	feature	NOUN
aiti-15175	246	20	to	to	PART
aiti-15175	246	21	jointly	jointly	ADV
aiti-15175	246	22	enhance	enhance	VERB
aiti-15175	246	23	prediction	prediction	NOUN
aiti-15175	246	24	performance	performance	NOUN
aiti-15175	246	25	.	.	PUNCT
aiti-15175	247	1	table	table	NOUN
aiti-15175	247	2	9	9	NUM
aiti-15175	247	3	comparative	comparative	ADJ
aiti-15175	247	4	experiment	experiment	NOUN
aiti-15175	247	5	results	result	NOUN
aiti-15175	247	6	evaluation	evaluation	NOUN
aiti-15175	247	7	model	model	NOUN
aiti-15175	247	8	mae	mae	PROPN
aiti-15175	247	9	rmse	rmse	PROPN
aiti-15175	247	10	rnn	rnn	VERB
aiti-15175	247	11	[	[	PUNCT
aiti-15175	247	12	20	20	NUM
aiti-15175	247	13	]	]	PUNCT
aiti-15175	247	14	4.1336	4.1336	NUM
aiti-15175	247	15	4.0227	4.0227	NUM
aiti-15175	247	16	cnn_bilstm	cnn_bilstm	NOUN
aiti-15175	248	1	[	[	X
aiti-15175	248	2	21	21	NUM
aiti-15175	248	3	]	]	SYM
aiti-15175	248	4	0.1781	0.1781	NUM
aiti-15175	248	5	0.2943	0.2943	NUM
aiti-15175	248	6	bigru	bigru	NOUN
aiti-15175	248	7	[	[	X
aiti-15175	248	8	22	22	NUM
aiti-15175	248	9	]	]	PUNCT
aiti-15175	248	10	0.078	0.078	NUM
aiti-15175	248	11	0.097	0.097	NUM
aiti-15175	248	12	pso	pso	NOUN
aiti-15175	248	13	-	-	PUNCT
aiti-15175	248	14	multiam	multiam	NOUN
aiti-15175	248	15	-	-	PUNCT
aiti-15175	248	16	bilstm	bilstm	NOUN
aiti-15175	248	17	0.049	0.049	NUM
aiti-15175	248	18	0.0564	0.0564	NUM
aiti-15175	248	19	the	the	DET
aiti-15175	248	20	pso	pso	NOUN
aiti-15175	248	21	module	module	NOUN
aiti-15175	248	22	in	in	ADP
aiti-15175	248	23	the	the	DET
aiti-15175	248	24	network	network	NOUN
aiti-15175	248	25	structure	structure	NOUN
aiti-15175	248	26	is	be	AUX
aiti-15175	248	27	replaced	replace	VERB
aiti-15175	248	28	with	with	ADP
aiti-15175	248	29	the	the	DET
aiti-15175	248	30	genetic	genetic	ADJ
aiti-15175	248	31	algorithm	algorithm	NOUN
aiti-15175	248	32	(	(	PUNCT
aiti-15175	248	33	ga	ga	NOUN
aiti-15175	248	34	)	)	PUNCT
aiti-15175	248	35	and	and	CCONJ
aiti-15175	248	36	differential	differential	ADJ
aiti-15175	248	37	evolution	evolution	NOUN
aiti-15175	248	38	(	(	PUNCT
aiti-15175	248	39	de	de	NOUN
aiti-15175	248	40	)	)	PUNCT
aiti-15175	248	41	for	for	ADP
aiti-15175	248	42	comparison	comparison	NOUN
aiti-15175	248	43	,	,	PUNCT
aiti-15175	248	44	and	and	CCONJ
aiti-15175	248	45	the	the	DET
aiti-15175	248	46	experimental	experimental	ADJ
aiti-15175	248	47	results	result	NOUN
aiti-15175	248	48	are	be	AUX
aiti-15175	248	49	illustrated	illustrate	VERB
aiti-15175	248	50	in	in	ADP
aiti-15175	248	51	figs	fig	NOUN
aiti-15175	248	52	.	.	PUNCT
aiti-15175	249	1	13	13	NUM
aiti-15175	249	2	-	-	SYM
aiti-15175	249	3	15	15	NUM
aiti-15175	249	4	.	.	PUNCT
aiti-15175	250	1	among	among	ADP
aiti-15175	250	2	the	the	DET
aiti-15175	250	3	prediction	prediction	NOUN
aiti-15175	250	4	results	result	NOUN
aiti-15175	250	5	of	of	ADP
aiti-15175	250	6	each	each	DET
aiti-15175	250	7	model	model	NOUN
aiti-15175	250	8	,	,	PUNCT
aiti-15175	250	9	the	the	DET
aiti-15175	250	10	one	one	NOUN
aiti-15175	250	11	optimized	optimize	VERB
aiti-15175	250	12	by	by	ADP
aiti-15175	250	13	pso	pso	NOUN
aiti-15175	250	14	exhibits	exhibit	VERB
aiti-15175	250	15	a	a	DET
aiti-15175	250	16	higher	high	ADJ
aiti-15175	250	17	degree	degree	NOUN
aiti-15175	250	18	of	of	ADP
aiti-15175	250	19	fit	fit	NOUN
aiti-15175	250	20	with	with	ADP
aiti-15175	250	21	the	the	DET
aiti-15175	250	22	actual	actual	ADJ
aiti-15175	250	23	value	value	NOUN
aiti-15175	250	24	curve	curve	NOUN
aiti-15175	250	25	,	,	PUNCT
aiti-15175	250	26	indicating	indicate	VERB
aiti-15175	250	27	the	the	DET
aiti-15175	250	28	highest	high	ADJ
aiti-15175	250	29	prediction	prediction	NOUN
aiti-15175	250	30	accuracy	accuracy	NOUN
aiti-15175	250	31	.	.	PUNCT
aiti-15175	251	1	models	model	NOUN
aiti-15175	251	2	optimized	optimize	VERB
aiti-15175	251	3	through	through	ADP
aiti-15175	251	4	ga	ga	PROPN
aiti-15175	251	5	and	and	CCONJ
aiti-15175	251	6	de	de	ADV
aiti-15175	251	7	show	show	VERB
aiti-15175	251	8	the	the	DET
aiti-15175	251	9	most	most	ADV
aiti-15175	251	10	significant	significant	ADJ
aiti-15175	251	11	deviation	deviation	NOUN
aiti-15175	251	12	from	from	ADP
aiti-15175	251	13	true	true	ADJ
aiti-15175	251	14	values	value	NOUN
aiti-15175	251	15	when	when	SCONJ
aiti-15175	251	16	the	the	DET
aiti-15175	251	17	number	number	NOUN
aiti-15175	251	18	of	of	ADP
aiti-15175	251	19	cutting	cut	VERB
aiti-15175	251	20	operations	operation	NOUN
aiti-15175	251	21	ranges	range	VERB
aiti-15175	251	22	between	between	ADP
aiti-15175	251	23	100	100	NUM
aiti-15175	251	24	and	and	CCONJ
aiti-15175	251	25	200	200	NUM
aiti-15175	251	26	.	.	PUNCT
aiti-15175	252	1	this	this	PRON
aiti-15175	252	2	suggests	suggest	VERB
aiti-15175	252	3	that	that	SCONJ
aiti-15175	252	4	tool	tool	NOUN
aiti-15175	252	5	wear	wear	VERB
aiti-15175	252	6	rate	rate	NOUN
aiti-15175	252	7	changes	change	NOUN
aiti-15175	252	8	are	be	AUX
aiti-15175	252	9	complex	complex	ADJ
aiti-15175	252	10	at	at	ADP
aiti-15175	252	11	this	this	DET
aiti-15175	252	12	stage	stage	NOUN
aiti-15175	252	13	,	,	PUNCT
aiti-15175	252	14	imposing	impose	VERB
aiti-15175	252	15	high	high	ADJ
aiti-15175	252	16	requirements	requirement	NOUN
aiti-15175	252	17	on	on	ADP
aiti-15175	252	18	model	model	NOUN
aiti-15175	252	19	feature	feature	NOUN
aiti-15175	252	20	extraction	extraction	NOUN
aiti-15175	252	21	and	and	CCONJ
aiti-15175	252	22	optimization	optimization	NOUN
aiti-15175	252	23	capabilities	capability	NOUN
aiti-15175	252	24	.	.	PUNCT
aiti-15175	253	1	however	however	ADV
aiti-15175	253	2	,	,	PUNCT
aiti-15175	253	3	pso	pso	NOUN
aiti-15175	253	4	demonstrates	demonstrate	VERB
aiti-15175	253	5	stronger	strong	ADJ
aiti-15175	253	6	search	search	NOUN
aiti-15175	253	7	ability	ability	NOUN
aiti-15175	253	8	and	and	CCONJ
aiti-15175	253	9	is	be	AUX
aiti-15175	253	10	more	more	ADV
aiti-15175	253	11	suitable	suitable	ADJ
aiti-15175	253	12	for	for	ADP
aiti-15175	253	13	handling	handle	VERB
aiti-15175	253	14	such	such	ADJ
aiti-15175	253	15	complex	complex	ADJ
aiti-15175	253	16	variations	variation	NOUN
aiti-15175	253	17	.	.	PUNCT
aiti-15175	254	1	thus	thus	ADV
aiti-15175	254	2	,	,	PUNCT
aiti-15175	254	3	the	the	DET
aiti-15175	254	4	pso	pso	NOUN
aiti-15175	254	5	-	-	PUNCT
aiti-15175	254	6	multiam	multiam	NOUN
aiti-15175	254	7	-	-	PUNCT
aiti-15175	254	8	bilstm	bilstm	NOUN
aiti-15175	254	9	model	model	NOUN
aiti-15175	254	10	outperforms	outperform	VERB
aiti-15175	254	11	other	other	ADJ
aiti-15175	254	12	models	model	NOUN
aiti-15175	254	13	in	in	ADP
aiti-15175	254	14	predicting	predict	VERB
aiti-15175	254	15	the	the	DET
aiti-15175	254	16	rul	rul	NOUN
aiti-15175	254	17	of	of	ADP
aiti-15175	254	18	milling	milling	NOUN
aiti-15175	254	19	.	.	PUNCT
aiti-15175	255	1	it	it	PRON
aiti-15175	255	2	is	be	AUX
aiti-15175	255	3	particularly	particularly	ADV
aiti-15175	255	4	effective	effective	ADJ
aiti-15175	255	5	in	in	ADP
aiti-15175	255	6	addressing	address	VERB
aiti-15175	255	7	intricate	intricate	ADJ
aiti-15175	255	8	changes	change	NOUN
aiti-15175	255	9	in	in	ADP
aiti-15175	255	10	tool	tool	NOUN
aiti-15175	255	11	wear	wear	VERB
aiti-15175	255	12	during	during	ADP
aiti-15175	255	13	cutting	cut	VERB
aiti-15175	255	14	processes	process	NOUN
aiti-15175	255	15	,	,	PUNCT
aiti-15175	255	16	providing	provide	VERB
aiti-15175	255	17	robust	robust	ADJ
aiti-15175	255	18	support	support	NOUN
aiti-15175	255	19	for	for	ADP
aiti-15175	255	20	practical	practical	ADJ
aiti-15175	255	21	applications	application	NOUN
aiti-15175	255	22	in	in	ADP
aiti-15175	255	23	manufacturing	manufacture	VERB
aiti-15175	255	24	scenarios	scenario	NOUN
aiti-15175	255	25	.	.	PUNCT
aiti-15175	256	1	fig	fig	NOUN
aiti-15175	256	2	.	.	PUNCT
aiti-15175	257	1	13	13	NUM
aiti-15175	258	1	the	the	DET
aiti-15175	258	2	predictive	predictive	ADJ
aiti-15175	258	3	effects	effect	NOUN
aiti-15175	258	4	of	of	ADP
aiti-15175	258	5	different	different	ADJ
aiti-15175	258	6	optimization	optimization	NOUN
aiti-15175	258	7	algorithms	algorithm	NOUN
aiti-15175	258	8	on	on	ADP
aiti-15175	258	9	the	the	DET
aiti-15175	258	10	e1	e1	NOUN
aiti-15175	258	11	group	group	NOUN
aiti-15175	258	12	advances	advance	VERB
aiti-15175	258	13	in	in	ADP
aiti-15175	258	14	technology	technology	NOUN
aiti-15175	258	15	innovation	innovation	NOUN
aiti-15175	258	16	,	,	PUNCT
aiti-15175	258	17	vol	vol	NOUN
aiti-15175	258	18	.	.	PUNCT
aiti-15175	259	1	x	x	X
aiti-15175	259	2	,	,	PUNCT
aiti-15175	259	3	no	no	INTJ
aiti-15175	259	4	.	.	PUNCT
aiti-15175	260	1	x	x	X
aiti-15175	260	2	,	,	PUNCT
aiti-15175	260	3	20xx	20xx	ADJ
aiti-15175	260	4	,	,	PUNCT
aiti-15175	260	5	pp	pp	PROPN
aiti-15175	260	6	.	.	PUNCT
aiti-15175	261	1	xx	xx	X
aiti-15175	261	2	-	-	SYM
aiti-15175	261	3	xx	xx	NUM
aiti-15175	261	4	14	14	NUM
aiti-15175	261	5	fig	fig	NOUN
aiti-15175	261	6	.	.	PUNCT
aiti-15175	262	1	14	14	NUM
aiti-15175	263	1	the	the	DET
aiti-15175	263	2	predictive	predictive	ADJ
aiti-15175	263	3	effects	effect	NOUN
aiti-15175	263	4	of	of	ADP
aiti-15175	263	5	different	different	ADJ
aiti-15175	263	6	optimization	optimization	NOUN
aiti-15175	263	7	algorithms	algorithm	NOUN
aiti-15175	263	8	on	on	ADP
aiti-15175	263	9	the	the	DET
aiti-15175	263	10	e2	e2	PROPN
aiti-15175	263	11	group	group	PROPN
aiti-15175	263	12	fig	fig	PROPN
aiti-15175	263	13	.	.	PUNCT
aiti-15175	264	1	15	15	NUM
aiti-15175	264	2	the	the	DET
aiti-15175	264	3	predictive	predictive	ADJ
aiti-15175	264	4	effects	effect	NOUN
aiti-15175	264	5	of	of	ADP
aiti-15175	264	6	different	different	ADJ
aiti-15175	264	7	optimization	optimization	NOUN
aiti-15175	264	8	algorithms	algorithm	NOUN
aiti-15175	264	9	on	on	ADP
aiti-15175	264	10	the	the	DET
aiti-15175	264	11	e3	e3	NOUN
aiti-15175	264	12	group	group	NOUN
aiti-15175	264	13	5	5	NUM
aiti-15175	264	14	.	.	PUNCT
aiti-15175	264	15	conclusion	conclusion	NOUN
aiti-15175	264	16	this	this	DET
aiti-15175	264	17	study	study	NOUN
aiti-15175	264	18	proposes	propose	VERB
aiti-15175	264	19	an	an	DET
aiti-15175	264	20	improved	improved	ADJ
aiti-15175	264	21	pso	pso	NOUN
aiti-15175	264	22	-	-	PUNCT
aiti-15175	264	23	multiam	multiam	NOUN
aiti-15175	264	24	-	-	PUNCT
aiti-15175	264	25	bilstm	bilstm	NOUN
aiti-15175	264	26	model	model	NOUN
aiti-15175	264	27	for	for	ADP
aiti-15175	264	28	accurate	accurate	ADJ
aiti-15175	264	29	rul	rul	NOUN
aiti-15175	264	30	prediction	prediction	NOUN
aiti-15175	264	31	of	of	ADP
aiti-15175	264	32	milling	milling	NOUN
aiti-15175	264	33	tools	tool	NOUN
aiti-15175	264	34	,	,	PUNCT
aiti-15175	264	35	addressing	address	VERB
aiti-15175	264	36	limitations	limitation	NOUN
aiti-15175	264	37	in	in	ADP
aiti-15175	264	38	existing	exist	VERB
aiti-15175	264	39	deep	deep	ADJ
aiti-15175	264	40	learning	learning	NOUN
aiti-15175	264	41	and	and	CCONJ
aiti-15175	264	42	optimization	optimization	NOUN
aiti-15175	264	43	frameworks	framework	NOUN
aiti-15175	264	44	.	.	PUNCT
aiti-15175	265	1	by	by	ADP
aiti-15175	265	2	integrating	integrate	VERB
aiti-15175	265	3	a	a	DET
aiti-15175	265	4	multiam	multiam	NOUN
aiti-15175	265	5	with	with	ADP
aiti-15175	265	6	bilstm	bilstm	NOUN
aiti-15175	265	7	,	,	PUNCT
aiti-15175	265	8	the	the	DET
aiti-15175	265	9	model	model	NOUN
aiti-15175	265	10	dynamically	dynamically	ADV
aiti-15175	265	11	captures	capture	VERB
aiti-15175	265	12	key	key	ADJ
aiti-15175	265	13	features	feature	NOUN
aiti-15175	265	14	in	in	ADP
aiti-15175	265	15	long	long	ADJ
aiti-15175	265	16	time	time	NOUN
aiti-15175	265	17	-	-	PUNCT
aiti-15175	265	18	series	series	NOUN
aiti-15175	265	19	data	datum	NOUN
aiti-15175	265	20	,	,	PUNCT
aiti-15175	265	21	mitigating	mitigate	VERB
aiti-15175	265	22	early	early	ADJ
aiti-15175	265	23	critical	critical	ADJ
aiti-15175	265	24	feature	feature	NOUN
aiti-15175	265	25	attenuation	attenuation	NOUN
aiti-15175	265	26	caused	cause	VERB
aiti-15175	265	27	by	by	ADP
aiti-15175	265	28	“	"	PUNCT
aiti-15175	265	29	chain	chain	NOUN
aiti-15175	265	30	propagation	propagation	NOUN
aiti-15175	265	31	”	"	PUNCT
aiti-15175	265	32	in	in	ADP
aiti-15175	265	33	traditional	traditional	ADJ
aiti-15175	265	34	bilstm	bilstm	NOUN
aiti-15175	265	35	.	.	PUNCT
aiti-15175	266	1	pso	pso	NOUN
aiti-15175	266	2	is	be	AUX
aiti-15175	266	3	applied	apply	VERB
aiti-15175	266	4	to	to	PART
aiti-15175	266	5	optimize	optimize	VERB
aiti-15175	266	6	bilstm	bilstm	NOUN
aiti-15175	266	7	parameters	parameter	NOUN
aiti-15175	266	8	,	,	PUNCT
aiti-15175	266	9	including	include	VERB
aiti-15175	266	10	hidden	hide	VERB
aiti-15175	266	11	layer	layer	NOUN
aiti-15175	266	12	units	unit	NOUN
aiti-15175	266	13	,	,	PUNCT
aiti-15175	266	14	learning	learn	VERB
aiti-15175	266	15	rate	rate	NOUN
aiti-15175	266	16	,	,	PUNCT
aiti-15175	266	17	and	and	CCONJ
aiti-15175	266	18	initial	initial	ADJ
aiti-15175	266	19	weights	weight	NOUN
aiti-15175	266	20	,	,	PUNCT
aiti-15175	266	21	using	use	VERB
aiti-15175	266	22	a	a	DET
aiti-15175	266	23	logarithmic	logarithmic	ADJ
aiti-15175	266	24	decreasing	decrease	VERB
aiti-15175	266	25	strategy	strategy	NOUN
aiti-15175	266	26	for	for	ADP
aiti-15175	266	27	inertia	inertia	NOUN
aiti-15175	266	28	weights	weight	NOUN
aiti-15175	266	29	,	,	PUNCT
aiti-15175	266	30	balancing	balance	VERB
aiti-15175	266	31	global	global	ADJ
aiti-15175	266	32	exploration	exploration	NOUN
aiti-15175	266	33	and	and	CCONJ
aiti-15175	266	34	local	local	ADJ
aiti-15175	266	35	search	search	NOUN
aiti-15175	266	36	capabilities	capability	NOUN
aiti-15175	266	37	,	,	PUNCT
aiti-15175	266	38	and	and	CCONJ
aiti-15175	266	39	avoiding	avoid	VERB
aiti-15175	266	40	premature	premature	ADJ
aiti-15175	266	41	convergence	convergence	NOUN
aiti-15175	266	42	to	to	ADP
aiti-15175	266	43	local	local	ADJ
aiti-15175	266	44	optima	optima	NOUN
aiti-15175	266	45	.	.	PUNCT
aiti-15175	267	1	experimental	experimental	ADJ
aiti-15175	267	2	validation	validation	NOUN
aiti-15175	267	3	on	on	ADP
aiti-15175	267	4	the	the	DET
aiti-15175	267	5	phm2010	phm2010	NOUN
aiti-15175	267	6	dataset	dataset	NOUN
aiti-15175	267	7	demonstrates	demonstrate	VERB
aiti-15175	267	8	the	the	DET
aiti-15175	267	9	superiority	superiority	NOUN
aiti-15175	267	10	of	of	ADP
aiti-15175	267	11	the	the	DET
aiti-15175	267	12	proposed	propose	VERB
aiti-15175	267	13	model	model	NOUN
aiti-15175	267	14	in	in	ADP
aiti-15175	267	15	predicting	predict	VERB
aiti-15175	267	16	tool	tool	NOUN
aiti-15175	267	17	rul	rul	NOUN
aiti-15175	267	18	.	.	PUNCT
aiti-15175	268	1	the	the	DET
aiti-15175	268	2	main	main	ADJ
aiti-15175	268	3	findings	finding	NOUN
aiti-15175	268	4	are	be	AUX
aiti-15175	268	5	summarized	summarize	VERB
aiti-15175	268	6	as	as	SCONJ
aiti-15175	268	7	follows	follow	VERB
aiti-15175	268	8	:	:	PUNCT
aiti-15175	268	9	(	(	PUNCT
aiti-15175	268	10	1	1	X
aiti-15175	268	11	)	)	PUNCT
aiti-15175	268	12	the	the	DET
aiti-15175	268	13	proposed	propose	VERB
aiti-15175	268	14	pso	pso	NOUN
aiti-15175	268	15	-	-	PUNCT
aiti-15175	268	16	multiam	multiam	NOUN
aiti-15175	268	17	-	-	PUNCT
aiti-15175	268	18	bilstm	bilstm	NOUN
aiti-15175	268	19	model	model	NOUN
aiti-15175	268	20	effectively	effectively	ADV
aiti-15175	268	21	mitigates	mitigate	VERB
aiti-15175	268	22	early	early	ADJ
aiti-15175	268	23	critical	critical	ADJ
aiti-15175	268	24	feature	feature	NOUN
aiti-15175	268	25	attenuation	attenuation	NOUN
aiti-15175	268	26	in	in	ADP
aiti-15175	268	27	long	long	ADJ
aiti-15175	268	28	time	time	NOUN
aiti-15175	268	29	-	-	PUNCT
aiti-15175	268	30	series	series	NOUN
aiti-15175	268	31	data	datum	NOUN
aiti-15175	268	32	and	and	CCONJ
aiti-15175	268	33	enhances	enhance	VERB
aiti-15175	268	34	feature	feature	NOUN
aiti-15175	268	35	discrimination	discrimination	NOUN
aiti-15175	268	36	across	across	ADP
aiti-15175	268	37	different	different	ADJ
aiti-15175	268	38	wear	wear	NOUN
aiti-15175	268	39	stages	stage	NOUN
aiti-15175	268	40	.	.	PUNCT
aiti-15175	269	1	(	(	PUNCT
aiti-15175	269	2	2	2	X
aiti-15175	269	3	)	)	PUNCT
aiti-15175	269	4	pso	pso	NOUN
aiti-15175	269	5	optimization	optimization	NOUN
aiti-15175	269	6	of	of	ADP
aiti-15175	269	7	bilstm	bilstm	NOUN
aiti-15175	269	8	parameters	parameter	NOUN
aiti-15175	269	9	improves	improve	VERB
aiti-15175	269	10	model	model	NOUN
aiti-15175	269	11	performance	performance	NOUN
aiti-15175	269	12	by	by	ADP
aiti-15175	269	13	balancing	balance	VERB
aiti-15175	269	14	global	global	ADJ
aiti-15175	269	15	and	and	CCONJ
aiti-15175	269	16	local	local	ADJ
aiti-15175	269	17	search	search	NOUN
aiti-15175	269	18	capabilities	capability	NOUN
aiti-15175	269	19	,	,	PUNCT
aiti-15175	269	20	enhancing	enhance	VERB
aiti-15175	269	21	overall	overall	ADJ
aiti-15175	269	22	optimization	optimization	NOUN
aiti-15175	269	23	effectiveness	effectiveness	NOUN
aiti-15175	269	24	.	.	PUNCT
aiti-15175	270	1	(	(	PUNCT
aiti-15175	270	2	3	3	X
aiti-15175	270	3	)	)	PUNCT
aiti-15175	270	4	experimental	experimental	ADJ
aiti-15175	270	5	results	result	NOUN
aiti-15175	270	6	demonstrate	demonstrate	VERB
aiti-15175	270	7	high	high	ADJ
aiti-15175	270	8	prediction	prediction	NOUN
aiti-15175	270	9	accuracy	accuracy	NOUN
aiti-15175	270	10	,	,	PUNCT
aiti-15175	270	11	with	with	ADP
aiti-15175	270	12	an	an	DET
aiti-15175	270	13	average	average	ADJ
aiti-15175	270	14	r2	r2	NOUN
aiti-15175	270	15	of	of	ADP
aiti-15175	270	16	0.97	0.97	NUM
aiti-15175	270	17	,	,	PUNCT
aiti-15175	270	18	rmse	rmse	NOUN
aiti-15175	270	19	of	of	ADP
aiti-15175	270	20	0.062	0.062	NUM
aiti-15175	270	21	,	,	PUNCT
aiti-15175	270	22	and	and	CCONJ
aiti-15175	270	23	mae	mae	PROPN
aiti-15175	270	24	of	of	ADP
aiti-15175	270	25	0.045	0.045	NUM
aiti-15175	270	26	,	,	PUNCT
aiti-15175	270	27	showing	show	VERB
aiti-15175	270	28	an	an	DET
aiti-15175	270	29	improvement	improvement	NOUN
aiti-15175	270	30	of	of	ADP
aiti-15175	270	31	9.64	9.64	NUM
aiti-15175	270	32	%	%	NOUN
aiti-15175	270	33	over	over	ADP
aiti-15175	270	34	multiam	multiam	NOUN
aiti-15175	270	35	-	-	PUNCT
aiti-15175	270	36	bilstm	bilstm	NOUN
aiti-15175	270	37	and	and	CCONJ
aiti-15175	270	38	4.06	4.06	NUM
aiti-15175	270	39	%	%	NOUN
aiti-15175	270	40	over	over	ADP
aiti-15175	270	41	pso	pso	NOUN
aiti-15175	270	42	-	-	PUNCT
aiti-15175	270	43	am	am	NOUN
aiti-15175	270	44	-	-	PUNCT
aiti-15175	270	45	bilstm	bilstm	NOUN
aiti-15175	270	46	.	.	PUNCT
aiti-15175	271	1	advances	advance	NOUN
aiti-15175	271	2	in	in	ADP
aiti-15175	271	3	technology	technology	NOUN
aiti-15175	271	4	innovation	innovation	NOUN
aiti-15175	271	5	,	,	PUNCT
aiti-15175	271	6	vol	vol	NOUN
aiti-15175	271	7	.	.	PUNCT
aiti-15175	272	1	x	x	X
aiti-15175	272	2	,	,	PUNCT
aiti-15175	272	3	no	no	INTJ
aiti-15175	272	4	.	.	PUNCT
aiti-15175	273	1	x	x	X
aiti-15175	273	2	,	,	PUNCT
aiti-15175	273	3	20xx	20xx	ADJ
aiti-15175	273	4	,	,	PUNCT
aiti-15175	273	5	pp	pp	PROPN
aiti-15175	273	6	.	.	PUNCT
aiti-15175	274	1	xx	xx	X
aiti-15175	274	2	-	-	SYM
aiti-15175	274	3	xx	xx	NUM
aiti-15175	274	4	15	15	NUM
aiti-15175	274	5	(	(	PUNCT
aiti-15175	274	6	4	4	NUM
aiti-15175	274	7	)	)	PUNCT
aiti-15175	274	8	comparative	comparative	ADJ
aiti-15175	274	9	experiments	experiment	NOUN
aiti-15175	274	10	replacing	replace	VERB
aiti-15175	274	11	pso	pso	NOUN
aiti-15175	274	12	with	with	ADP
aiti-15175	274	13	ga	ga	PROPN
aiti-15175	274	14	or	or	CCONJ
aiti-15175	274	15	de	de	ADV
aiti-15175	274	16	indicate	indicate	VERB
aiti-15175	274	17	that	that	SCONJ
aiti-15175	274	18	pso	pso	NOUN
aiti-15175	274	19	exhibits	exhibit	VERB
aiti-15175	274	20	stronger	strong	ADJ
aiti-15175	274	21	adaptability	adaptability	NOUN
aiti-15175	274	22	to	to	ADP
aiti-15175	274	23	complex	complex	ADJ
aiti-15175	274	24	tool	tool	NOUN
aiti-15175	274	25	wear	wear	VERB
aiti-15175	274	26	rate	rate	NOUN
aiti-15175	274	27	variations	variation	NOUN
aiti-15175	274	28	,	,	PUNCT
aiti-15175	274	29	especially	especially	ADV
aiti-15175	274	30	within	within	ADP
aiti-15175	274	31	the	the	DET
aiti-15175	274	32	100	100	NUM
aiti-15175	274	33	-	-	SYM
aiti-15175	274	34	200	200	NUM
aiti-15175	274	35	cutting	cutting	NOUN
aiti-15175	274	36	operation	operation	NOUN
aiti-15175	274	37	range	range	NOUN
aiti-15175	274	38	.	.	PUNCT
aiti-15175	275	1	the	the	DET
aiti-15175	275	2	results	result	NOUN
aiti-15175	275	3	of	of	ADP
aiti-15175	275	4	the	the	DET
aiti-15175	275	5	study	study	NOUN
aiti-15175	275	6	are	be	AUX
aiti-15175	275	7	highly	highly	ADV
aiti-15175	275	8	informative	informative	ADJ
aiti-15175	275	9	for	for	ADP
aiti-15175	275	10	rul	rul	NOUN
aiti-15175	275	11	prediction	prediction	NOUN
aiti-15175	275	12	in	in	ADP
aiti-15175	275	13	milling	mill	VERB
aiti-15175	275	14	machining	machining	NOUN
aiti-15175	275	15	.	.	PUNCT
aiti-15175	276	1	the	the	DET
aiti-15175	276	2	method	method	NOUN
aiti-15175	276	3	can	can	AUX
aiti-15175	276	4	also	also	ADV
aiti-15175	276	5	be	be	AUX
aiti-15175	276	6	conveniently	conveniently	ADV
aiti-15175	276	7	applied	apply	VERB
aiti-15175	276	8	to	to	ADP
aiti-15175	276	9	rul	rul	NOUN
aiti-15175	276	10	prediction	prediction	NOUN
aiti-15175	276	11	of	of	ADP
aiti-15175	276	12	cutting	cut	VERB
aiti-15175	276	13	tools	tool	NOUN
aiti-15175	276	14	in	in	ADP
aiti-15175	276	15	other	other	ADJ
aiti-15175	276	16	real	real	ADJ
aiti-15175	276	17	machining	machining	NOUN
aiti-15175	276	18	processes	process	NOUN
aiti-15175	276	19	,	,	PUNCT
aiti-15175	276	20	such	such	ADJ
aiti-15175	276	21	as	as	ADP
aiti-15175	276	22	turning	turn	VERB
aiti-15175	276	23	and	and	CCONJ
aiti-15175	276	24	drilling	drilling	NOUN
aiti-15175	276	25	.	.	PUNCT
aiti-15175	277	1	the	the	DET
aiti-15175	277	2	validation	validation	NOUN
aiti-15175	277	3	of	of	ADP
aiti-15175	277	4	this	this	DET
aiti-15175	277	5	method	method	NOUN
aiti-15175	277	6	is	be	AUX
aiti-15175	277	7	currently	currently	ADV
aiti-15175	277	8	limited	limit	VERB
aiti-15175	277	9	to	to	ADP
aiti-15175	277	10	a	a	DET
aiti-15175	277	11	single	single	ADJ
aiti-15175	277	12	tool	tool	NOUN
aiti-15175	277	13	parameter	parameter	NOUN
aiti-15175	277	14	;	;	PUNCT
aiti-15175	277	15	future	future	ADJ
aiti-15175	277	16	work	work	NOUN
aiti-15175	277	17	can	can	AUX
aiti-15175	277	18	expand	expand	VERB
aiti-15175	277	19	experimental	experimental	ADJ
aiti-15175	277	20	samples	sample	NOUN
aiti-15175	277	21	and	and	CCONJ
aiti-15175	277	22	apply	apply	VERB
aiti-15175	277	23	the	the	DET
aiti-15175	277	24	approach	approach	NOUN
aiti-15175	277	25	to	to	ADP
aiti-15175	277	26	different	different	ADJ
aiti-15175	277	27	rul	rul	NOUN
aiti-15175	277	28	prediction	prediction	NOUN
aiti-15175	277	29	scenarios	scenario	NOUN
aiti-15175	277	30	.	.	PUNCT
aiti-15175	278	1	acknowledgments	acknowledgment	NOUN
aiti-15175	278	2	this	this	DET
aiti-15175	278	3	work	work	NOUN
aiti-15175	278	4	is	be	AUX
aiti-15175	278	5	supervised	supervise	VERB
aiti-15175	278	6	by	by	ADP
aiti-15175	278	7	professors	professor	NOUN
aiti-15175	278	8	from	from	ADP
aiti-15175	278	9	universiti	universiti	PROPN
aiti-15175	278	10	malaysia	malaysia	PROPN
aiti-15175	278	11	sarawak	sarawak	PROPN
aiti-15175	278	12	.	.	PUNCT
aiti-15175	279	1	this	this	DET
aiti-15175	279	2	work	work	NOUN
aiti-15175	279	3	is	be	AUX
aiti-15175	279	4	also	also	ADV
aiti-15175	279	5	supported	support	VERB
aiti-15175	279	6	by	by	ADP
aiti-15175	279	7	the	the	DET
aiti-15175	279	8	research	research	NOUN
aiti-15175	279	9	program	program	NOUN
aiti-15175	279	10	of	of	ADP
aiti-15175	279	11	qilu	qilu	PROPN
aiti-15175	279	12	institute	institute	PROPN
aiti-15175	279	13	of	of	ADP
aiti-15175	279	14	technology	technology	PROPN
aiti-15175	279	15	(	(	PUNCT
aiti-15175	279	16	no	no	INTJ
aiti-15175	279	17	.	.	PUNCT
aiti-15175	279	18	:	:	PUNCT
aiti-15175	280	1	qit23nn038	qit23nn038	NUM
aiti-15175	280	2	)	)	PUNCT
aiti-15175	280	3	.	.	PUNCT
aiti-15175	281	1	conflicts	conflict	NOUN
aiti-15175	281	2	of	of	ADP
aiti-15175	281	3	interest	interest	NOUN
aiti-15175	281	4	the	the	DET
aiti-15175	281	5	authors	author	NOUN
aiti-15175	281	6	declare	declare	VERB
aiti-15175	281	7	no	no	DET
aiti-15175	281	8	conflict	conflict	NOUN
aiti-15175	281	9	of	of	ADP
aiti-15175	281	10	interest	interest	NOUN
aiti-15175	281	11	.	.	PUNCT
aiti-15175	282	1	references	reference	NOUN
aiti-15175	282	2	[	[	X
aiti-15175	282	3	1	1	X
aiti-15175	282	4	]	]	PUNCT
aiti-15175	282	5	j.	j.	PROPN
aiti-15175	282	6	karandikar	karandikar	PROPN
aiti-15175	282	7	,	,	PUNCT
aiti-15175	282	8	t.	t.	PROPN
aiti-15175	282	9	schmitz	schmitz	PROPN
aiti-15175	282	10	,	,	PUNCT
aiti-15175	282	11	and	and	CCONJ
aiti-15175	282	12	s.	s.	PROPN
aiti-15175	282	13	smith	smith	PROPN
aiti-15175	282	14	,	,	PUNCT
aiti-15175	282	15	“	"	PUNCT
aiti-15175	282	16	physics	physics	NOUN
aiti-15175	282	17	-	-	PUNCT
aiti-15175	282	18	guided	guide	VERB
aiti-15175	282	19	logistic	logistic	ADJ
aiti-15175	282	20	classification	classification	NOUN
aiti-15175	282	21	for	for	ADP
aiti-15175	282	22	tool	tool	NOUN
aiti-15175	282	23	life	life	NOUN
aiti-15175	282	24	modeling	modeling	NOUN
aiti-15175	282	25	and	and	CCONJ
aiti-15175	282	26	process	process	NOUN
aiti-15175	282	27	parameter	parameter	NOUN
aiti-15175	282	28	optimization	optimization	NOUN
aiti-15175	282	29	in	in	ADP
aiti-15175	282	30	machining	machining	NOUN
aiti-15175	282	31	,	,	PUNCT
aiti-15175	282	32	”	"	PUNCT
aiti-15175	282	33	journal	journal	NOUN
aiti-15175	282	34	of	of	ADP
aiti-15175	282	35	manufacturing	manufacturing	NOUN
aiti-15175	282	36	systems	system	NOUN
aiti-15175	282	37	,	,	PUNCT
aiti-15175	282	38	vol	vol	NOUN
aiti-15175	282	39	.	.	PROPN
aiti-15175	282	40	59	59	NUM
aiti-15175	282	41	,	,	PUNCT
aiti-15175	282	42	pp	pp	ADJ
aiti-15175	282	43	.	.	PUNCT
aiti-15175	283	1	522	522	NUM
aiti-15175	283	2	-	-	SYM
aiti-15175	283	3	534	534	NUM
aiti-15175	283	4	,	,	PUNCT
aiti-15175	283	5	2021	2021	NUM
aiti-15175	283	6	.	.	PUNCT
aiti-15175	284	1	[	[	X
aiti-15175	284	2	2	2	NUM
aiti-15175	284	3	]	]	PUNCT
aiti-15175	284	4	x.	x.	NOUN
aiti-15175	284	5	liu	liu	PROPN
aiti-15175	284	6	,	,	PUNCT
aiti-15175	284	7	s.	s.	PROPN
aiti-15175	284	8	liu	liu	PROPN
aiti-15175	284	9	,	,	PUNCT
aiti-15175	284	10	x.	x.	PROPN
aiti-15175	284	11	li	li	PROPN
aiti-15175	284	12	,	,	PUNCT
aiti-15175	284	13	b.	b.	PROPN
aiti-15175	284	14	zhang	zhang	PROPN
aiti-15175	284	15	,	,	PUNCT
aiti-15175	284	16	c.	c.	PROPN
aiti-15175	284	17	yue	yue	PROPN
aiti-15175	284	18	,	,	PUNCT
aiti-15175	284	19	and	and	CCONJ
aiti-15175	284	20	s.	s.	PROPN
aiti-15175	284	21	y.	y.	PROPN
aiti-15175	284	22	liang	liang	PROPN
aiti-15175	285	1	“	"	PUNCT
aiti-15175	285	2	intelligent	intelligent	ADJ
aiti-15175	285	3	tool	tool	NOUN
aiti-15175	285	4	wear	wear	VERB
aiti-15175	285	5	monitoring	monitoring	NOUN
aiti-15175	285	6	based	base	VERB
aiti-15175	285	7	on	on	ADP
aiti-15175	285	8	parallel	parallel	ADJ
aiti-15175	285	9	residual	residual	ADJ
aiti-15175	285	10	and	and	CCONJ
aiti-15175	285	11	stacked	stack	VERB
aiti-15175	285	12	bidirectional	bidirectional	ADJ
aiti-15175	285	13	long	long	ADJ
aiti-15175	285	14	short	short	ADJ
aiti-15175	285	15	-	-	PUNCT
aiti-15175	285	16	term	term	NOUN
aiti-15175	285	17	memory	memory	NOUN
aiti-15175	285	18	network	network	NOUN
aiti-15175	285	19	,	,	PUNCT
aiti-15175	285	20	”	"	PUNCT
aiti-15175	285	21	journal	journal	NOUN
aiti-15175	285	22	of	of	ADP
aiti-15175	285	23	manufacturing	manufacturing	NOUN
aiti-15175	285	24	systems	system	NOUN
aiti-15175	285	25	,	,	PUNCT
aiti-15175	285	26	vol	vol	NOUN
aiti-15175	285	27	.	.	PROPN
aiti-15175	285	28	60	60	NUM
aiti-15175	285	29	,	,	PUNCT
aiti-15175	285	30	pp	pp	ADJ
aiti-15175	285	31	.	.	PUNCT
aiti-15175	286	1	608	608	NUM
aiti-15175	286	2	-	-	SYM
aiti-15175	286	3	619	619	NUM
aiti-15175	286	4	,	,	PUNCT
aiti-15175	286	5	2021	2021	NUM
aiti-15175	286	6	.	.	PUNCT
aiti-15175	287	1	[	[	X
aiti-15175	287	2	3	3	X
aiti-15175	287	3	]	]	X
aiti-15175	287	4	n.	n.	PROPN
aiti-15175	287	5	k.	k.	PROPN
aiti-15175	287	6	singh	singh	PROPN
aiti-15175	287	7	,	,	PUNCT
aiti-15175	287	8	r.	r.	PROPN
aiti-15175	287	9	k.	k.	PROPN
aiti-15175	287	10	rathore	rathore	PROPN
aiti-15175	287	11	,	,	PUNCT
aiti-15175	287	12	a.	a.	PROPN
aiti-15175	287	13	k.	k.	PROPN
aiti-15175	287	14	sinha	sinha	PROPN
aiti-15175	287	15	,	,	PUNCT
aiti-15175	287	16	and	and	CCONJ
aiti-15175	287	17	h.	h.	PROPN
aiti-15175	287	18	narayan	narayan	PROPN
aiti-15175	287	19	,	,	PUNCT
aiti-15175	287	20	“	"	PUNCT
aiti-15175	287	21	multiobjective	multiobjective	ADJ
aiti-15175	287	22	optimization	optimization	NOUN
aiti-15175	287	23	of	of	ADP
aiti-15175	287	24	process	process	NOUN
aiti-15175	287	25	parameter	parameter	NOUN
aiti-15175	287	26	subjected	subject	VERB
aiti-15175	287	27	to	to	AUX
aiti-15175	287	28	end	end	VERB
aiti-15175	287	29	milling	milling	NOUN
aiti-15175	287	30	process	process	NOUN
aiti-15175	287	31	of	of	ADP
aiti-15175	287	32	aa7075	aa7075	NOUN
aiti-15175	287	33	alloy	alloy	NOUN
aiti-15175	287	34	through	through	ADP
aiti-15175	287	35	topsis	topsis	NOUN
aiti-15175	287	36	method	method	NOUN
aiti-15175	287	37	,	,	PUNCT
aiti-15175	287	38	”	"	PUNCT
aiti-15175	287	39	aip	aip	PROPN
aiti-15175	287	40	conference	conference	NOUN
aiti-15175	287	41	proceedings	proceeding	NOUN
aiti-15175	287	42	,	,	PUNCT
aiti-15175	287	43	vol	vol	NOUN
aiti-15175	287	44	.	.	PROPN
aiti-15175	287	45	3111	3111	NUM
aiti-15175	287	46	,	,	PUNCT
aiti-15175	287	47	no	no	INTJ
aiti-15175	287	48	.	.	NOUN
aiti-15175	287	49	1	1	NUM
aiti-15175	287	50	,	,	PUNCT
aiti-15175	287	51	article	article	NOUN
aiti-15175	287	52	no	no	NOUN
aiti-15175	287	53	.	.	PROPN
aiti-15175	287	54	060004	060004	NUM
aiti-15175	287	55	,	,	PUNCT
aiti-15175	287	56	2024	2024	NUM
aiti-15175	287	57	.	.	PUNCT
aiti-15175	288	1	[	[	X
aiti-15175	288	2	4	4	X
aiti-15175	288	3	]	]	X
aiti-15175	288	4	d.	d.	PROPN
aiti-15175	288	5	han	han	PROPN
aiti-15175	288	6	,	,	PUNCT
aiti-15175	288	7	j.	j.	PROPN
aiti-15175	288	8	yu	yu	PROPN
aiti-15175	288	9	,	,	PUNCT
aiti-15175	288	10	and	and	CCONJ
aiti-15175	288	11	d.	d.	PROPN
aiti-15175	288	12	tang	tang	PROPN
aiti-15175	288	13	,	,	PUNCT
aiti-15175	288	14	“	"	PUNCT
aiti-15175	288	15	an	an	DET
aiti-15175	288	16	hdp	hdp	PROPN
aiti-15175	288	17	-	-	PUNCT
aiti-15175	288	18	hmm	hmm	PROPN
aiti-15175	288	19	based	base	VERB
aiti-15175	288	20	approach	approach	NOUN
aiti-15175	288	21	for	for	ADP
aiti-15175	288	22	tool	tool	NOUN
aiti-15175	288	23	wear	wear	VERB
aiti-15175	288	24	estimation	estimation	NOUN
aiti-15175	288	25	and	and	CCONJ
aiti-15175	288	26	tool	tool	NOUN
aiti-15175	288	27	life	life	NOUN
aiti-15175	288	28	prediction	prediction	NOUN
aiti-15175	288	29	,	,	PUNCT
aiti-15175	288	30	”	"	PUNCT
aiti-15175	288	31	quality	quality	NOUN
aiti-15175	288	32	engineering	engineering	NOUN
aiti-15175	288	33	,	,	PUNCT
aiti-15175	288	34	vol	vol	NOUN
aiti-15175	288	35	.	.	PROPN
aiti-15175	289	1	33	33	NUM
aiti-15175	289	2	,	,	PUNCT
aiti-15175	289	3	no	no	INTJ
aiti-15175	289	4	.	.	NOUN
aiti-15175	289	5	2	2	NUM
aiti-15175	289	6	,	,	PUNCT
aiti-15175	289	7	pp	pp	ADJ
aiti-15175	289	8	.	.	PUNCT
aiti-15175	290	1	208	208	NUM
aiti-15175	290	2	-	-	SYM
aiti-15175	290	3	220	220	NUM
aiti-15175	290	4	,	,	PUNCT
aiti-15175	290	5	2020	2020	NUM
aiti-15175	290	6	.	.	PUNCT
aiti-15175	291	1	[	[	X
aiti-15175	291	2	5	5	NUM
aiti-15175	291	3	]	]	X
aiti-15175	291	4	n.	n.	NOUN
aiti-15175	291	5	brili	brili	PROPN
aiti-15175	291	6	,	,	PUNCT
aiti-15175	291	7	m.	m.	NOUN
aiti-15175	291	8	ficko	ficko	PROPN
aiti-15175	291	9	,	,	PUNCT
aiti-15175	291	10	and	and	CCONJ
aiti-15175	291	11	s.	s.	PROPN
aiti-15175	291	12	klančnik	klančnik	PROPN
aiti-15175	291	13	,	,	PUNCT
aiti-15175	291	14	“	"	PUNCT
aiti-15175	291	15	tool	tool	NOUN
aiti-15175	291	16	condition	condition	NOUN
aiti-15175	291	17	monitoring	monitoring	NOUN
aiti-15175	291	18	of	of	ADP
aiti-15175	291	19	the	the	DET
aiti-15175	291	20	cutting	cut	VERB
aiti-15175	291	21	capability	capability	NOUN
aiti-15175	291	22	of	of	ADP
aiti-15175	291	23	a	a	DET
aiti-15175	291	24	turning	turn	VERB
aiti-15175	291	25	tool	tool	NOUN
aiti-15175	291	26	based	base	VERB
aiti-15175	291	27	on	on	ADP
aiti-15175	291	28	thermography	thermography	NOUN
aiti-15175	291	29	,	,	PUNCT
aiti-15175	291	30	”	"	PUNCT
aiti-15175	291	31	sensors	sensor	NOUN
aiti-15175	291	32	,	,	PUNCT
aiti-15175	291	33	vol	vol	NOUN
aiti-15175	291	34	.	.	PROPN
aiti-15175	291	35	21	21	NUM
aiti-15175	291	36	,	,	PUNCT
aiti-15175	291	37	no	no	INTJ
aiti-15175	291	38	.	.	NOUN
aiti-15175	291	39	19	19	NUM
aiti-15175	291	40	,	,	PUNCT
aiti-15175	291	41	article	article	NOUN
aiti-15175	291	42	no	no	NOUN
aiti-15175	291	43	.	.	PROPN
aiti-15175	291	44	6687	6687	NUM
aiti-15175	291	45	,	,	PUNCT
aiti-15175	291	46	2021	2021	NUM
aiti-15175	291	47	.	.	PUNCT
aiti-15175	292	1	[	[	X
aiti-15175	292	2	6	6	NUM
aiti-15175	292	3	]	]	PUNCT
aiti-15175	292	4	l.	l.	PROPN
aiti-15175	292	5	wu	wu	PROPN
aiti-15175	292	6	,	,	PUNCT
aiti-15175	292	7	k.	k.	PROPN
aiti-15175	292	8	sha	sha	PROPN
aiti-15175	292	9	,	,	PUNCT
aiti-15175	292	10	y.	y.	PROPN
aiti-15175	292	11	tao	tao	PROPN
aiti-15175	292	12	,	,	PUNCT
aiti-15175	292	13	b.	b.	PROPN
aiti-15175	292	14	ju	ju	PROPN
aiti-15175	292	15	,	,	PUNCT
aiti-15175	292	16	and	and	CCONJ
aiti-15175	292	17	y.	y.	PROPN
aiti-15175	292	18	chen	chen	PROPN
aiti-15175	292	19	,	,	PUNCT
aiti-15175	292	20	“	"	PUNCT
aiti-15175	292	21	a	a	DET
aiti-15175	292	22	hybrid	hybrid	ADJ
aiti-15175	292	23	deep	deep	ADJ
aiti-15175	292	24	learning	learning	NOUN
aiti-15175	292	25	model	model	NOUN
aiti-15175	292	26	as	as	ADP
aiti-15175	292	27	the	the	DET
aiti-15175	292	28	digital	digital	ADJ
aiti-15175	292	29	twin	twin	NOUN
aiti-15175	292	30	of	of	ADP
aiti-15175	292	31	ultra	ultra	ADJ
aiti-15175	292	32	-	-	ADJ
aiti-15175	292	33	precision	precision	ADJ
aiti-15175	292	34	diamond	diamond	NOUN
aiti-15175	292	35	cutting	cutting	NOUN
aiti-15175	292	36	for	for	ADP
aiti-15175	292	37	in	in	ADP
aiti-15175	292	38	-	-	PUNCT
aiti-15175	292	39	process	process	NOUN
aiti-15175	292	40	prediction	prediction	NOUN
aiti-15175	292	41	of	of	ADP
aiti-15175	292	42	cutting	cut	VERB
aiti-15175	292	43	-	-	PUNCT
aiti-15175	292	44	tool	tool	NOUN
aiti-15175	292	45	wear	wear	NOUN
aiti-15175	292	46	,	,	PUNCT
aiti-15175	292	47	”	"	PUNCT
aiti-15175	292	48	applied	apply	VERB
aiti-15175	292	49	sciences	science	NOUN
aiti-15175	292	50	,	,	PUNCT
aiti-15175	292	51	vol	vol	NOUN
aiti-15175	292	52	.	.	PROPN
aiti-15175	292	53	13	13	NUM
aiti-15175	292	54	,	,	PUNCT
aiti-15175	292	55	no	no	INTJ
aiti-15175	292	56	.	.	NOUN
aiti-15175	292	57	11	11	NUM
aiti-15175	292	58	,	,	PUNCT
aiti-15175	292	59	article	article	NOUN
aiti-15175	292	60	no	no	NOUN
aiti-15175	292	61	.	.	PROPN
aiti-15175	292	62	6675	6675	NUM
aiti-15175	292	63	,	,	PUNCT
aiti-15175	292	64	2023	2023	NUM
aiti-15175	292	65	.	.	PUNCT
aiti-15175	293	1	[	[	X
aiti-15175	293	2	7	7	X
aiti-15175	293	3	]	]	X
aiti-15175	293	4	w.	w.	PROPN
aiti-15175	293	5	x.	x.	PROPN
aiti-15175	293	6	yan	yan	PROPN
aiti-15175	293	7	,	,	PUNCT
aiti-15175	293	8	w.	w.	PROPN
aiti-15175	293	9	pin	pin	PROPN
aiti-15175	293	10	,	,	PUNCT
aiti-15175	293	11	and	and	CCONJ
aiti-15175	293	12	l.	l.	PROPN
aiti-15175	293	13	he	he	PRON
aiti-15175	293	14	,	,	PUNCT
aiti-15175	293	15	“	"	PUNCT
aiti-15175	293	16	reliability	reliability	NOUN
aiti-15175	293	17	prediction	prediction	NOUN
aiti-15175	293	18	of	of	ADP
aiti-15175	293	19	cnc	cnc	PROPN
aiti-15175	293	20	machine	machine	NOUN
aiti-15175	293	21	tool	tool	NOUN
aiti-15175	293	22	spindle	spindle	NOUN
aiti-15175	293	23	based	base	VERB
aiti-15175	293	24	on	on	ADP
aiti-15175	293	25	optimized	optimize	VERB
aiti-15175	293	26	cascade	cascade	NOUN
aiti-15175	293	27	feedforward	feedforward	NOUN
aiti-15175	293	28	neural	neural	ADJ
aiti-15175	293	29	network	network	NOUN
aiti-15175	293	30	,	,	PUNCT
aiti-15175	293	31	”	"	PUNCT
aiti-15175	293	32	ieee	ieee	NOUN
aiti-15175	293	33	access	access	NOUN
aiti-15175	293	34	,	,	PUNCT
aiti-15175	293	35	vol	vol	NOUN
aiti-15175	293	36	.	.	NOUN
aiti-15175	293	37	9	9	NUM
aiti-15175	293	38	,	,	PUNCT
aiti-15175	293	39	pp	pp	ADJ
aiti-15175	293	40	.	.	PUNCT
aiti-15175	294	1	60682	60682	NUM
aiti-15175	294	2	-	-	SYM
aiti-15175	294	3	60688	60688	NUM
aiti-15175	294	4	,	,	PUNCT
aiti-15175	294	5	2021	2021	NUM
aiti-15175	294	6	.	.	PUNCT
aiti-15175	295	1	[	[	X
aiti-15175	295	2	8	8	NUM
aiti-15175	295	3	]	]	X
aiti-15175	295	4	p.	p.	NOUN
aiti-15175	295	5	ünal	ünal	PROPN
aiti-15175	295	6	,	,	PUNCT
aiti-15175	295	7	b.	b.	PROPN
aiti-15175	295	8	u.	u.	PROPN
aiti-15175	295	9	deveci	deveci	PROPN
aiti-15175	295	10	,	,	PUNCT
aiti-15175	295	11	and	and	CCONJ
aiti-15175	295	12	a.	a.	NOUN
aiti-15175	295	13	m.	m.	NOUN
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aiti-15175	295	15	,	,	PUNCT
aiti-15175	295	16	“	"	PUNCT
aiti-15175	295	17	a	a	DET
aiti-15175	295	18	review	review	NOUN
aiti-15175	295	19	:	:	PUNCT
aiti-15175	295	20	sensors	sensor	NOUN
aiti-15175	295	21	used	use	VERB
aiti-15175	295	22	in	in	ADP
aiti-15175	295	23	tool	tool	NOUN
aiti-15175	295	24	wear	wear	VERB
aiti-15175	295	25	monitoring	monitoring	NOUN
aiti-15175	295	26	and	and	CCONJ
aiti-15175	295	27	prediction	prediction	NOUN
aiti-15175	295	28	,	,	PUNCT
aiti-15175	295	29	”	"	PUNCT
aiti-15175	295	30	international	international	ADJ
aiti-15175	295	31	conference	conference	NOUN
aiti-15175	295	32	on	on	ADP
aiti-15175	295	33	mobile	mobile	ADJ
aiti-15175	295	34	web	web	NOUN
aiti-15175	295	35	and	and	CCONJ
aiti-15175	295	36	intelligent	intelligent	ADJ
aiti-15175	295	37	information	information	NOUN
aiti-15175	295	38	systems	system	NOUN
aiti-15175	295	39	,	,	PUNCT
aiti-15175	295	40	pp	pp	ADP
aiti-15175	295	41	.	.	PUNCT
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aiti-15175	296	2	-	-	SYM
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aiti-15175	296	4	,	,	PUNCT
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aiti-15175	296	6	.	.	PUNCT
aiti-15175	297	1	[	[	X
aiti-15175	297	2	9	9	NUM
aiti-15175	297	3	]	]	X
aiti-15175	297	4	c.	c.	PROPN
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aiti-15175	297	6	,	,	PUNCT
aiti-15175	297	7	b.	b.	PROPN
aiti-15175	297	8	luo	luo	PROPN
aiti-15175	297	9	,	,	PUNCT
aiti-15175	297	10	s.	s.	PROPN
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aiti-15175	297	12	,	,	PUNCT
aiti-15175	297	13	k.	k.	PROPN
aiti-15175	297	14	li	li	PROPN
aiti-15175	297	15	,	,	PUNCT
aiti-15175	297	16	h.	h.	PROPN
aiti-15175	297	17	liu	liu	PROPN
aiti-15175	297	18	,	,	PUNCT
aiti-15175	297	19	and	and	CCONJ
aiti-15175	297	20	b.	b.	PROPN
aiti-15175	297	21	li	li	PROPN
aiti-15175	297	22	,	,	PUNCT
aiti-15175	297	23	“	"	PUNCT
aiti-15175	297	24	tool	tool	NOUN
aiti-15175	297	25	wear	wear	VERB
aiti-15175	297	26	prediction	prediction	NOUN
aiti-15175	297	27	via	via	ADP
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aiti-15175	297	29	stacked	stack	VERB
aiti-15175	297	30	sparse	sparse	ADJ
aiti-15175	297	31	autoencoders	autoencoder	NOUN
aiti-15175	297	32	with	with	ADP
aiti-15175	297	33	feature	feature	NOUN
aiti-15175	297	34	fusion	fusion	NOUN
aiti-15175	297	35	,	,	PUNCT
aiti-15175	297	36	”	"	PUNCT
aiti-15175	297	37	ieee	ieee	NOUN
aiti-15175	297	38	transactions	transaction	NOUN
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aiti-15175	297	40	industrial	industrial	ADJ
aiti-15175	297	41	informatics	informatic	NOUN
aiti-15175	297	42	,	,	PUNCT
aiti-15175	297	43	vol	vol	NOUN
aiti-15175	297	44	.	.	PROPN
aiti-15175	298	1	16	16	NUM
aiti-15175	298	2	,	,	PUNCT
aiti-15175	298	3	no	no	INTJ
aiti-15175	298	4	.	.	NOUN
aiti-15175	298	5	8	8	NUM
aiti-15175	298	6	,	,	PUNCT
aiti-15175	298	7	pp	pp	ADJ
aiti-15175	298	8	.	.	PUNCT
aiti-15175	299	1	5150	5150	NUM
aiti-15175	299	2	-	-	SYM
aiti-15175	299	3	5159	5159	NUM
aiti-15175	299	4	,	,	PUNCT
aiti-15175	299	5	2020	2020	NUM
aiti-15175	299	6	.	.	PUNCT
aiti-15175	300	1	[	[	X
aiti-15175	300	2	10	10	NUM
aiti-15175	300	3	]	]	X
aiti-15175	300	4	q.	q.	PROPN
aiti-15175	300	5	an	an	PROPN
aiti-15175	300	6	,	,	PUNCT
aiti-15175	300	7	z.	z.	PROPN
aiti-15175	300	8	tao	tao	PROPN
aiti-15175	300	9	,	,	PUNCT
aiti-15175	300	10	x.	x.	PROPN
aiti-15175	300	11	xu	xu	PROPN
aiti-15175	300	12	,	,	PUNCT
aiti-15175	300	13	m.	m.	PROPN
aiti-15175	300	14	el	el	PROPN
aiti-15175	300	15	mansori	mansori	PROPN
aiti-15175	300	16	,	,	PUNCT
aiti-15175	300	17	and	and	CCONJ
aiti-15175	300	18	m.	m.	PROPN
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aiti-15175	300	20	,	,	PUNCT
aiti-15175	300	21	“	"	PUNCT
aiti-15175	300	22	a	a	DET
aiti-15175	300	23	data	data	NOUN
aiti-15175	300	24	-	-	PUNCT
aiti-15175	300	25	driven	drive	VERB
aiti-15175	300	26	model	model	NOUN
aiti-15175	300	27	for	for	ADP
aiti-15175	300	28	milling	mill	VERB
aiti-15175	300	29	tool	tool	NOUN
aiti-15175	300	30	remaining	remain	VERB
aiti-15175	300	31	useful	useful	ADJ
aiti-15175	300	32	life	life	NOUN
aiti-15175	300	33	prediction	prediction	NOUN
aiti-15175	300	34	with	with	ADP
aiti-15175	300	35	convolutional	convolutional	ADJ
aiti-15175	300	36	and	and	CCONJ
aiti-15175	300	37	stacked	stack	VERB
aiti-15175	300	38	lstm	lstm	ADJ
aiti-15175	300	39	network	network	NOUN
aiti-15175	300	40	,	,	PUNCT
aiti-15175	300	41	”	"	PUNCT
aiti-15175	300	42	measurement	measurement	NOUN
aiti-15175	300	43	,	,	PUNCT
aiti-15175	300	44	vol	vol	NOUN
aiti-15175	300	45	.	.	PROPN
aiti-15175	300	46	154	154	NUM
aiti-15175	300	47	,	,	PUNCT
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aiti-15175	300	50	.	.	PROPN
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aiti-15175	300	52	,	,	PUNCT
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aiti-15175	300	54	.	.	PUNCT
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aiti-15175	301	4	m.	m.	NOUN
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aiti-15175	301	7	j.	j.	PROPN
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aiti-15175	301	9	,	,	PUNCT
aiti-15175	301	10	j.	j.	PROPN
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aiti-15175	301	13	z.	z.	PROPN
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aiti-15175	301	16	and	and	CCONJ
aiti-15175	301	17	e.	e.	PROPN
aiti-15175	301	18	li	li	PROPN
aiti-15175	301	19	,	,	PUNCT
aiti-15175	301	20	“	"	PUNCT
aiti-15175	301	21	milling	mill	VERB
aiti-15175	301	22	tool	tool	NOUN
aiti-15175	301	23	wear	wear	VERB
aiti-15175	301	24	prediction	prediction	NOUN
aiti-15175	301	25	method	method	NOUN
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aiti-15175	301	27	on	on	ADP
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aiti-15175	301	31	variable	variable	ADJ
aiti-15175	301	32	working	working	NOUN
aiti-15175	301	33	conditions	condition	NOUN
aiti-15175	301	34	,	,	PUNCT
aiti-15175	301	35	”	"	PUNCT
aiti-15175	301	36	ieee	ieee	NOUN
aiti-15175	301	37	access	access	NOUN
aiti-15175	301	38	,	,	PUNCT
aiti-15175	301	39	vol	vol	NOUN
aiti-15175	301	40	.	.	PROPN
aiti-15175	301	41	8	8	NUM
aiti-15175	301	42	,	,	PUNCT
aiti-15175	301	43	pp	pp	ADJ
aiti-15175	301	44	.	.	PUNCT
aiti-15175	301	45	140726	140726	NUM
aiti-15175	301	46	-	-	SYM
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aiti-15175	301	48	,	,	PUNCT
aiti-15175	301	49	2020	2020	NUM
aiti-15175	301	50	.	.	PUNCT
aiti-15175	302	1	[	[	X
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aiti-15175	302	4	s.	s.	PROPN
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aiti-15175	302	9	,	,	PUNCT
aiti-15175	302	10	g.	g.	PROPN
aiti-15175	302	11	xu	xu	PROPN
aiti-15175	302	12	,	,	PUNCT
aiti-15175	302	13	and	and	CCONJ
aiti-15175	302	14	f.	f.	PROPN
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aiti-15175	302	22	life	life	NOUN
aiti-15175	302	23	prediction	prediction	NOUN
aiti-15175	302	24	method	method	NOUN
aiti-15175	302	25	based	base	VERB
aiti-15175	302	26	on	on	ADP
aiti-15175	302	27	cnn	cnn	PROPN
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aiti-15175	302	29	lstm	lstm	ADJ
aiti-15175	302	30	-	-	PUNCT
aiti-15175	302	31	pso	pso	NOUN
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aiti-15175	302	34	ieee	ieee	NOUN
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aiti-15175	302	36	,	,	PUNCT
aiti-15175	302	37	vol	vol	NOUN
aiti-15175	302	38	.	.	PROPN
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aiti-15175	302	40	,	,	PUNCT
aiti-15175	302	41	pp	pp	ADJ
aiti-15175	302	42	.	.	PUNCT
aiti-15175	302	43	80448	80448	NUM
aiti-15175	302	44	-	-	SYM
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aiti-15175	302	46	,	,	PUNCT
aiti-15175	302	47	2023	2023	NUM
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aiti-15175	303	4	j.	j.	PROPN
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aiti-15175	303	9	,	,	PUNCT
aiti-15175	303	10	and	and	CCONJ
aiti-15175	303	11	j.	j.	PROPN
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aiti-15175	303	42	,	,	PUNCT
aiti-15175	303	43	vol	vol	NOUN
aiti-15175	303	44	.	.	PROPN
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aiti-15175	303	52	,	,	PUNCT
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aiti-15175	304	33	,	,	PUNCT
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aiti-15175	304	43	,	,	PUNCT
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aiti-15175	304	45	.	.	PUNCT
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aiti-15175	305	25	milling	mill	VERB
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aiti-15175	305	27	wear	wear	VERB
aiti-15175	305	28	prediction	prediction	NOUN
aiti-15175	305	29	,	,	PUNCT
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aiti-15175	305	38	,	,	PUNCT
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aiti-15175	305	40	.	.	PROPN
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aiti-15175	305	46	-	-	SYM
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aiti-15175	305	56	.	.	PUNCT
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aiti-15175	310	5	w.	w.	PROPN
aiti-15175	310	6	li	li	PROPN
aiti-15175	310	7	,	,	PUNCT
aiti-15175	310	8	c.	c.	PROPN
aiti-15175	310	9	b.	b.	PROPN
aiti-15175	310	10	liu	liu	PROPN
aiti-15175	310	11	,	,	PUNCT
aiti-15175	310	12	h.	h.	PROPN
aiti-15175	310	13	guo	guo	PROPN
aiti-15175	310	14	,	,	PUNCT
aiti-15175	310	15	and	and	CCONJ
aiti-15175	310	16	n.	n.	PROPN
aiti-15175	310	17	lyu	lyu	NOUN
aiti-15175	310	18	,	,	PUNCT
aiti-15175	310	19	“	"	PUNCT
aiti-15175	310	20	tool	tool	NOUN
aiti-15175	310	21	life	life	NOUN
aiti-15175	310	22	prediction	prediction	NOUN
aiti-15175	310	23	based	base	VERB
aiti-15175	310	24	on	on	ADP
aiti-15175	310	25	pso	pso	NOUN
aiti-15175	310	26	-	-	PUNCT
aiti-15175	310	27	rbf	rbf	PROPN
aiti-15175	310	28	neural	neural	ADJ
aiti-15175	310	29	network	network	NOUN
aiti-15175	310	30	,	,	PUNCT
aiti-15175	310	31	”	"	PUNCT
aiti-15175	310	32	computer	computer	NOUN
aiti-15175	310	33	systems	system	NOUN
aiti-15175	310	34	applications	application	NOUN
aiti-15175	310	35	,	,	PUNCT
aiti-15175	310	36	vol	vol	NOUN
aiti-15175	310	37	.	.	PROPN
aiti-15175	310	38	31	31	NUM
aiti-15175	310	39	,	,	PUNCT
aiti-15175	310	40	no	no	INTJ
aiti-15175	310	41	.	.	NOUN
aiti-15175	310	42	1	1	NUM
aiti-15175	310	43	,	,	PUNCT
aiti-15175	310	44	pp	pp	ADJ
aiti-15175	310	45	.	.	PUNCT
aiti-15175	311	1	309	309	NUM
aiti-15175	311	2	-	-	SYM
aiti-15175	311	3	314	314	NUM
aiti-15175	311	4	,	,	PUNCT
aiti-15175	311	5	2022	2022	NUM
aiti-15175	311	6	.	.	PUNCT
aiti-15175	312	1	(	(	PUNCT
aiti-15175	312	2	in	in	ADP
aiti-15175	312	3	chinese	chinese	PROPN
aiti-15175	312	4	)	)	PUNCT
aiti-15175	313	1	[	[	X
aiti-15175	313	2	17	17	NUM
aiti-15175	313	3	]	]	PUNCT
aiti-15175	313	4	p.	p.	PROPN
aiti-15175	313	5	wei	wei	PROPN
aiti-15175	313	6	,	,	PUNCT
aiti-15175	313	7	r.	r.	PROPN
aiti-15175	313	8	li	li	PROPN
aiti-15175	313	9	,	,	PUNCT
aiti-15175	313	10	x.	x.	PROPN
aiti-15175	313	11	liu	liu	PROPN
aiti-15175	313	12	,	,	PUNCT
aiti-15175	313	13	h.	h.	PROPN
aiti-15175	313	14	gao	gao	PROPN
aiti-15175	313	15	,	,	PUNCT
aiti-15175	313	16	m.	m.	NOUN
aiti-15175	313	17	dai	dai	PROPN
aiti-15175	313	18	,	,	PUNCT
aiti-15175	313	19	y.	y.	PROPN
aiti-15175	313	20	zhang	zhang	PROPN
aiti-15175	313	21	,	,	PUNCT
aiti-15175	313	22	et	et	PROPN
aiti-15175	313	23	al	al	PROPN
aiti-15175	313	24	.	.	PROPN
aiti-15175	313	25	,	,	PUNCT
aiti-15175	313	26	“	"	PUNCT
aiti-15175	313	27	research	research	NOUN
aiti-15175	313	28	on	on	ADP
aiti-15175	313	29	tool	tool	NOUN
aiti-15175	313	30	wear	wear	VERB
aiti-15175	313	31	state	state	NOUN
aiti-15175	313	32	identification	identification	NOUN
aiti-15175	313	33	method	method	NOUN
aiti-15175	313	34	driven	drive	VERB
aiti-15175	313	35	by	by	ADP
aiti-15175	313	36	multi	multi	ADJ
aiti-15175	313	37	-	-	ADJ
aiti-15175	313	38	source	source	ADJ
aiti-15175	313	39	information	information	NOUN
aiti-15175	313	40	fusion	fusion	NOUN
aiti-15175	313	41	and	and	CCONJ
aiti-15175	313	42	multi	multi	ADJ
aiti-15175	313	43	-	-	ADJ
aiti-15175	313	44	dimension	dimension	ADJ
aiti-15175	313	45	attention	attention	NOUN
aiti-15175	313	46	mechanism	mechanism	NOUN
aiti-15175	313	47	,	,	PUNCT
aiti-15175	313	48	”	"	PUNCT
aiti-15175	313	49	robotics	robotic	NOUN
aiti-15175	313	50	and	and	CCONJ
aiti-15175	313	51	computer	computer	NOUN
aiti-15175	313	52	-	-	PUNCT
aiti-15175	313	53	integrated	integrate	VERB
aiti-15175	313	54	manufacturing	manufacturing	NOUN
aiti-15175	313	55	,	,	PUNCT
aiti-15175	313	56	vol	vol	NOUN
aiti-15175	313	57	.	.	PROPN
aiti-15175	313	58	88	88	NUM
aiti-15175	313	59	,	,	PUNCT
aiti-15175	313	60	article	article	NOUN
aiti-15175	313	61	no	no	NOUN
aiti-15175	313	62	.	.	PROPN
aiti-15175	313	63	102741	102741	NUM
aiti-15175	313	64	,	,	PUNCT
aiti-15175	313	65	2024	2024	NUM
aiti-15175	313	66	.	.	PUNCT
aiti-15175	314	1	[	[	X
aiti-15175	314	2	18	18	NUM
aiti-15175	314	3	]	]	X
aiti-15175	314	4	g.	g.	PROPN
aiti-15175	314	5	wang	wang	PROPN
aiti-15175	314	6	and	and	CCONJ
aiti-15175	314	7	f.	f.	PROPN
aiti-15175	314	8	zhang	zhang	PROPN
aiti-15175	314	9	,	,	PUNCT
aiti-15175	314	10	“	"	PUNCT
aiti-15175	314	11	a	a	DET
aiti-15175	314	12	sequence	sequence	NOUN
aiti-15175	314	13	-	-	PUNCT
aiti-15175	314	14	to	to	ADP
aiti-15175	314	15	-	-	PUNCT
aiti-15175	314	16	sequence	sequence	NOUN
aiti-15175	314	17	model	model	NOUN
aiti-15175	314	18	with	with	ADP
aiti-15175	314	19	attention	attention	NOUN
aiti-15175	314	20	and	and	CCONJ
aiti-15175	314	21	monotonicity	monotonicity	NOUN
aiti-15175	314	22	loss	loss	NOUN
aiti-15175	314	23	for	for	ADP
aiti-15175	314	24	tool	tool	NOUN
aiti-15175	314	25	wear	wear	VERB
aiti-15175	314	26	monitoring	monitoring	NOUN
aiti-15175	314	27	and	and	CCONJ
aiti-15175	314	28	prediction	prediction	NOUN
aiti-15175	314	29	,	,	PUNCT
aiti-15175	314	30	”	"	PUNCT
aiti-15175	314	31	ieee	ieee	NOUN
aiti-15175	314	32	transactions	transaction	NOUN
aiti-15175	314	33	on	on	ADP
aiti-15175	314	34	instrumentation	instrumentation	NOUN
aiti-15175	314	35	and	and	CCONJ
aiti-15175	314	36	measurement	measurement	NOUN
aiti-15175	314	37	,	,	PUNCT
aiti-15175	314	38	vol	vol	NOUN
aiti-15175	314	39	.	.	PROPN
aiti-15175	314	40	70	70	NUM
aiti-15175	314	41	,	,	PUNCT
aiti-15175	314	42	article	article	NOUN
aiti-15175	314	43	no	no	NOUN
aiti-15175	314	44	.	.	PROPN
aiti-15175	314	45	3525611	3525611	NUM
aiti-15175	314	46	,	,	PUNCT
aiti-15175	314	47	2021	2021	NUM
aiti-15175	314	48	.	.	PUNCT
aiti-15175	315	1	[	[	X
aiti-15175	315	2	19	19	NUM
aiti-15175	315	3	]	]	X
aiti-15175	315	4	c.	c.	PROPN
aiti-15175	315	5	dong	dong	PROPN
aiti-15175	315	6	and	and	CCONJ
aiti-15175	315	7	j.	j.	PROPN
aiti-15175	315	8	zhao	zhao	PROPN
aiti-15175	315	9	,	,	PUNCT
aiti-15175	315	10	“	"	PUNCT
aiti-15175	315	11	an	an	DET
aiti-15175	315	12	augmented	augment	VERB
aiti-15175	315	13	autoencoder	autoencoder	NOUN
aiti-15175	315	14	with	with	ADP
aiti-15175	315	15	multi	multi	ADJ
aiti-15175	315	16	-	-	ADJ
aiti-15175	315	17	head	head	ADJ
aiti-15175	315	18	attention	attention	NOUN
aiti-15175	315	19	for	for	ADP
aiti-15175	315	20	tool	tool	NOUN
aiti-15175	315	21	wear	wear	VERB
aiti-15175	315	22	prediction	prediction	NOUN
aiti-15175	315	23	in	in	ADP
aiti-15175	315	24	smart	smart	ADJ
aiti-15175	315	25	manufacturing	manufacturing	NOUN
aiti-15175	315	26	,	,	PUNCT
aiti-15175	315	27	”	"	PUNCT
aiti-15175	315	28	ieee	ieee	NOUN
aiti-15175	315	29	access	access	NOUN
aiti-15175	315	30	,	,	PUNCT
aiti-15175	315	31	vol	vol	NOUN
aiti-15175	315	32	.	.	PROPN
aiti-15175	315	33	12	12	NUM
aiti-15175	315	34	,	,	PUNCT
aiti-15175	315	35	pp	pp	ADJ
aiti-15175	315	36	.	.	PUNCT
aiti-15175	315	37	79128	79128	NUM
aiti-15175	315	38	-	-	SYM
aiti-15175	315	39	79137	79137	NUM
aiti-15175	315	40	,	,	PUNCT
aiti-15175	315	41	2024	2024	NUM
aiti-15175	315	42	.	.	PUNCT
aiti-15175	316	1	[	[	X
aiti-15175	316	2	20	20	NUM
aiti-15175	316	3	]	]	X
aiti-15175	316	4	g.	g.	PROPN
aiti-15175	316	5	sateesh	sateesh	PROPN
aiti-15175	316	6	babu	babu	PROPN
aiti-15175	316	7	,	,	PUNCT
aiti-15175	316	8	p.	p.	NOUN
aiti-15175	316	9	zhao	zhao	PROPN
aiti-15175	316	10	,	,	PUNCT
aiti-15175	316	11	and	and	CCONJ
aiti-15175	316	12	x.	x.	PROPN
aiti-15175	316	13	l.	l.	PROPN
aiti-15175	316	14	li	li	PROPN
aiti-15175	316	15	,	,	PUNCT
aiti-15175	316	16	“	"	PUNCT
aiti-15175	316	17	deep	deep	ADJ
aiti-15175	316	18	convolutional	convolutional	ADJ
aiti-15175	316	19	neural	neural	ADJ
aiti-15175	316	20	network	network	NOUN
aiti-15175	316	21	based	base	VERB
aiti-15175	316	22	regression	regression	NOUN
aiti-15175	316	23	approach	approach	NOUN
aiti-15175	316	24	for	for	ADP
aiti-15175	316	25	estimation	estimation	NOUN
aiti-15175	316	26	of	of	ADP
aiti-15175	316	27	remaining	remain	VERB
aiti-15175	316	28	useful	useful	ADJ
aiti-15175	316	29	life	life	NOUN
aiti-15175	316	30	,	,	PUNCT
aiti-15175	316	31	”	"	PUNCT
aiti-15175	316	32	international	international	ADJ
aiti-15175	316	33	conference	conference	NOUN
aiti-15175	316	34	on	on	ADP
aiti-15175	316	35	database	database	NOUN
aiti-15175	316	36	systems	system	NOUN
aiti-15175	316	37	for	for	ADP
aiti-15175	316	38	advanced	advanced	ADJ
aiti-15175	316	39	applications	application	NOUN
aiti-15175	316	40	,	,	PUNCT
aiti-15175	316	41	pp	pp	ADJ
aiti-15175	316	42	.	.	PUNCT
aiti-15175	317	1	214	214	NUM
aiti-15175	317	2	-	-	SYM
aiti-15175	317	3	228	228	NUM
aiti-15175	317	4	,	,	PUNCT
aiti-15175	317	5	2016	2016	NUM
aiti-15175	317	6	.	.	PUNCT
aiti-15175	318	1	[	[	X
aiti-15175	318	2	21	21	NUM
aiti-15175	318	3	]	]	X
aiti-15175	318	4	c.	c.	PROPN
aiti-15175	318	5	zhao	zhao	PROPN
aiti-15175	318	6	,	,	PUNCT
aiti-15175	318	7	x.	x.	PROPN
aiti-15175	318	8	huang	huang	PROPN
aiti-15175	318	9	,	,	PUNCT
aiti-15175	318	10	y.	y.	PROPN
aiti-15175	318	11	li	li	PROPN
aiti-15175	318	12	,	,	PUNCT
aiti-15175	318	13	and	and	CCONJ
aiti-15175	318	14	m.	m.	PROPN
aiti-15175	318	15	yousaf	yousaf	PROPN
aiti-15175	318	16	iqbal	iqbal	PROPN
aiti-15175	318	17	,	,	PUNCT
aiti-15175	318	18	“	"	PUNCT
aiti-15175	318	19	a	a	DET
aiti-15175	318	20	double	double	ADJ
aiti-15175	318	21	-	-	PUNCT
aiti-15175	318	22	channel	channel	NOUN
aiti-15175	318	23	hybrid	hybrid	ADJ
aiti-15175	318	24	deep	deep	ADJ
aiti-15175	318	25	neural	neural	ADJ
aiti-15175	318	26	network	network	NOUN
aiti-15175	318	27	based	base	VERB
aiti-15175	318	28	on	on	ADP
aiti-15175	318	29	cnn	cnn	PROPN
aiti-15175	318	30	and	and	CCONJ
aiti-15175	318	31	bilstm	bilstm	NOUN
aiti-15175	318	32	for	for	ADP
aiti-15175	318	33	remaining	remain	VERB
aiti-15175	318	34	useful	useful	ADJ
aiti-15175	318	35	life	life	NOUN
aiti-15175	318	36	prediction	prediction	NOUN
aiti-15175	318	37	,	,	PUNCT
aiti-15175	318	38	”	"	PUNCT
aiti-15175	318	39	sensors	sensor	NOUN
aiti-15175	318	40	,	,	PUNCT
aiti-15175	318	41	vol	vol	NOUN
aiti-15175	318	42	.	.	PROPN
aiti-15175	318	43	20	20	NUM
aiti-15175	318	44	,	,	PUNCT
aiti-15175	318	45	no	no	INTJ
aiti-15175	318	46	.	.	NOUN
aiti-15175	318	47	24	24	NUM
aiti-15175	318	48	,	,	PUNCT
aiti-15175	318	49	article	article	NOUN
aiti-15175	318	50	no	no	NOUN
aiti-15175	318	51	.	.	PROPN
aiti-15175	318	52	7109	7109	NUM
aiti-15175	318	53	,	,	PUNCT
aiti-15175	318	54	2020	2020	NUM
aiti-15175	318	55	.	.	PUNCT
aiti-15175	319	1	[	[	X
aiti-15175	319	2	22	22	NUM
aiti-15175	319	3	]	]	X
aiti-15175	319	4	b.	b.	PROPN
aiti-15175	319	5	li	li	PROPN
aiti-15175	319	6	,	,	PUNCT
aiti-15175	319	7	m.	m.	PROPN
aiti-15175	319	8	han	han	PROPN
aiti-15175	319	9	,	,	PUNCT
aiti-15175	319	10	x.	x.	PROPN
aiti-15175	319	11	zhang	zhang	PROPN
aiti-15175	319	12	,	,	PUNCT
aiti-15175	319	13	h.	h.	PROPN
aiti-15175	319	14	luan	luan	PROPN
aiti-15175	319	15	,	,	PUNCT
aiti-15175	319	16	and	and	CCONJ
aiti-15175	319	17	s.	s.	PROPN
aiti-15175	319	18	sun	sun	PROPN
aiti-15175	319	19	,	,	PUNCT
aiti-15175	319	20	“	"	PUNCT
aiti-15175	319	21	research	research	NOUN
aiti-15175	319	22	on	on	ADP
aiti-15175	319	23	the	the	DET
aiti-15175	319	24	prediction	prediction	NOUN
aiti-15175	319	25	method	method	NOUN
aiti-15175	319	26	of	of	ADP
aiti-15175	319	27	remaining	remain	VERB
aiti-15175	319	28	tool	tool	NOUN
aiti-15175	319	29	life	life	NOUN
aiti-15175	319	30	based	base	VERB
aiti-15175	319	31	on	on	ADP
aiti-15175	319	32	gasf	gasf	NOUN
aiti-15175	319	33	-	-	PUNCT
aiti-15175	319	34	lstm	lstm	NOUN
aiti-15175	319	35	-	-	PUNCT
aiti-15175	319	36	attention	attention	NOUN
aiti-15175	319	37	,	,	PUNCT
aiti-15175	319	38	”	"	PUNCT
aiti-15175	319	39	10th	10th	ADJ
aiti-15175	319	40	international	international	ADJ
aiti-15175	319	41	conference	conference	NOUN
aiti-15175	319	42	on	on	ADP
aiti-15175	319	43	computer	computer	NOUN
aiti-15175	319	44	and	and	CCONJ
aiti-15175	319	45	communications	communication	NOUN
aiti-15175	319	46	,	,	PUNCT
aiti-15175	319	47	pp	pp	ADP
aiti-15175	319	48	.	.	PUNCT
aiti-15175	319	49	1422	1422	NUM
aiti-15175	319	50	-	-	SYM
aiti-15175	319	51	1427	1427	NUM
aiti-15175	319	52	,	,	PUNCT
aiti-15175	319	53	2024	2024	NUM
aiti-15175	319	54	.	.	PUNCT
aiti-15175	320	1	copyright	copyright	NOUN
aiti-15175	320	2	©	©	PROPN
aiti-15175	320	3	by	by	ADP
aiti-15175	320	4	the	the	DET
aiti-15175	320	5	authors	author	NOUN
aiti-15175	320	6	.	.	PUNCT
aiti-15175	321	1	licensee	licensee	PROPN
aiti-15175	321	2	taeti	taeti	PROPN
aiti-15175	321	3	,	,	PUNCT
aiti-15175	321	4	taiwan	taiwan	PROPN
aiti-15175	321	5	.	.	PUNCT
aiti-15175	322	1	this	this	DET
aiti-15175	322	2	article	article	NOUN
aiti-15175	322	3	is	be	AUX
aiti-15175	322	4	an	an	DET
aiti-15175	322	5	open	open	ADJ
aiti-15175	322	6	-	-	PUNCT
aiti-15175	322	7	access	access	NOUN
aiti-15175	322	8	article	article	NOUN
aiti-15175	322	9	distributed	distribute	VERB
aiti-15175	322	10	under	under	ADP
aiti-15175	322	11	the	the	DET
aiti-15175	322	12	terms	term	NOUN
aiti-15175	322	13	and	and	CCONJ
aiti-15175	322	14	conditions	condition	NOUN
aiti-15175	322	15	of	of	ADP
aiti-15175	322	16	the	the	DET
aiti-15175	322	17	creative	creative	ADJ
aiti-15175	322	18	commons	common	NOUN
aiti-15175	322	19	attribution	attribution	NOUN
aiti-15175	322	20	(	(	PUNCT
aiti-15175	322	21	cc	cc	NOUN
aiti-15175	322	22	by	by	ADP
aiti-15175	322	23	-	-	PUNCT
aiti-15175	322	24	nc	nc	NOUN
aiti-15175	322	25	)	)	PUNCT
aiti-15175	322	26	license	license	NOUN
aiti-15175	322	27	(	(	PUNCT
aiti-15175	322	28	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-15175	322	29	)	)	PUNCT
aiti-15175	322	30	.	.	PUNCT