id	sid	tid	token	lemma	pos
fcis-22531	1	1	frontiers	frontier	NOUN
fcis-22531	1	2	in	in	ADP
fcis-22531	1	3	computing	computing	NOUN
fcis-22531	1	4	and	and	CCONJ
fcis-22531	1	5	intelligent	intelligent	ADJ
fcis-22531	1	6	systems	system	NOUN
fcis-22531	1	7	issn	issn	VERB
fcis-22531	1	8	:	:	PUNCT
fcis-22531	1	9	2832	2832	NUM
fcis-22531	1	10	-	-	SYM
fcis-22531	1	11	6024	6024	NUM
fcis-22531	1	12	|	|	NOUN
fcis-22531	1	13	vol	vol	NOUN
fcis-22531	1	14	.	.	PROPN
fcis-22531	2	1	8	8	NUM
fcis-22531	2	2	,	,	PUNCT
fcis-22531	2	3	no	no	INTJ
fcis-22531	2	4	.	.	NOUN
fcis-22531	2	5	3	3	NUM
fcis-22531	2	6	,	,	PUNCT
fcis-22531	2	7	2024	2024	NUM
fcis-22531	2	8	1	1	NUM
fcis-22531	2	9	recognition	recognition	NOUN
fcis-22531	2	10	and	and	CCONJ
fcis-22531	2	11	prediction	prediction	NOUN
fcis-22531	2	12	of	of	ADP
fcis-22531	2	13	precursory	precursory	ADJ
fcis-22531	2	14	feature	feature	NOUN
fcis-22531	2	15	signals	signal	NOUN
fcis-22531	2	16	of	of	ADP
fcis-22531	2	17	coal	coal	NOUN
fcis-22531	2	18	mine	mine	NOUN
fcis-22531	2	19	rock	rock	NOUN
fcis-22531	2	20	burst	burst	NOUN
fcis-22531	2	21	based	base	VERB
fcis-22531	2	22	on	on	ADP
fcis-22531	2	23	random	random	ADJ
fcis-22531	2	24	forest	forest	NOUN
fcis-22531	2	25	and	and	CCONJ
fcis-22531	2	26	mk	mk	NOUN
fcis-22531	2	27	trend	trend	NOUN
fcis-22531	2	28	test	test	NOUN
fcis-22531	3	1	tianhang	tianhang	PROPN
fcis-22531	3	2	yang	yang	PROPN
fcis-22531	3	3	*	*	PUNCT
fcis-22531	3	4	sun	sun	PROPN
fcis-22531	3	5	yueqi	yueqi	PROPN
fcis-22531	3	6	honors	honors	PROPN
fcis-22531	3	7	college	college	PROPN
fcis-22531	3	8	,	,	PUNCT
fcis-22531	3	9	china	china	PROPN
fcis-22531	3	10	university	university	PROPN
fcis-22531	3	11	of	of	ADP
fcis-22531	3	12	mining	mining	NOUN
fcis-22531	3	13	and	and	CCONJ
fcis-22531	3	14	technology	technology	NOUN
fcis-22531	3	15	,	,	PUNCT
fcis-22531	3	16	xuzhou	xuzhou	PROPN
fcis-22531	3	17	,	,	PUNCT
fcis-22531	3	18	jiangsu	jiangsu	PROPN
fcis-22531	3	19	,	,	PUNCT
fcis-22531	3	20	china	china	PROPN
fcis-22531	3	21	*	*	PUNCT
fcis-22531	3	22	corresponding	correspond	VERB
fcis-22531	3	23	author	author	NOUN
fcis-22531	3	24	:	:	PUNCT
fcis-22531	3	25	tianhang	tianhang	PROPN
fcis-22531	3	26	yang	yang	PROPN
fcis-22531	3	27	abstract	abstract	PROPN
fcis-22531	3	28	:	:	PUNCT
fcis-22531	3	29	this	this	DET
fcis-22531	3	30	paper	paper	NOUN
fcis-22531	3	31	aims	aim	VERB
fcis-22531	3	32	to	to	PART
fcis-22531	3	33	identify	identify	VERB
fcis-22531	3	34	and	and	CCONJ
fcis-22531	3	35	predict	predict	VERB
fcis-22531	3	36	the	the	DET
fcis-22531	3	37	precursory	precursory	ADJ
fcis-22531	3	38	characteristic	characteristic	ADJ
fcis-22531	3	39	signals	signal	NOUN
fcis-22531	3	40	of	of	ADP
fcis-22531	3	41	coal	coal	NOUN
fcis-22531	3	42	mine	mine	NOUN
fcis-22531	3	43	rock	rock	NOUN
fcis-22531	3	44	burst	burst	NOUN
fcis-22531	3	45	by	by	ADP
fcis-22531	3	46	employing	employ	VERB
fcis-22531	3	47	the	the	DET
fcis-22531	3	48	random	random	ADJ
fcis-22531	3	49	forest	forest	NOUN
fcis-22531	3	50	and	and	CCONJ
fcis-22531	3	51	mk	mk	PROPN
fcis-22531	3	52	(	(	PUNCT
fcis-22531	3	53	mann	mann	PROPN
fcis-22531	3	54	-	-	PUNCT
fcis-22531	3	55	kendall	kendall	PROPN
fcis-22531	3	56	)	)	PUNCT
fcis-22531	3	57	trend	trend	NOUN
fcis-22531	3	58	test	test	NOUN
fcis-22531	3	59	methods	method	NOUN
fcis-22531	3	60	.	.	PUNCT
fcis-22531	4	1	initially	initially	ADV
fcis-22531	4	2	,	,	PUNCT
fcis-22531	4	3	the	the	DET
fcis-22531	4	4	study	study	NOUN
fcis-22531	4	5	conducts	conduct	VERB
fcis-22531	4	6	data	datum	NOUN
fcis-22531	4	7	preprocessing	preprocessing	NOUN
fcis-22531	4	8	and	and	CCONJ
fcis-22531	4	9	analysis	analysis	NOUN
fcis-22531	4	10	on	on	ADP
fcis-22531	4	11	indicators	indicator	NOUN
fcis-22531	4	12	such	such	ADJ
fcis-22531	4	13	as	as	ADP
fcis-22531	4	14	electromagnetic	electromagnetic	ADJ
fcis-22531	4	15	radiation	radiation	NOUN
fcis-22531	4	16	intensity	intensity	NOUN
fcis-22531	4	17	,	,	PUNCT
fcis-22531	4	18	acoustic	acoustic	ADJ
fcis-22531	4	19	wave	wave	NOUN
fcis-22531	4	20	intensity	intensity	NOUN
fcis-22531	4	21	,	,	PUNCT
fcis-22531	4	22	and	and	CCONJ
fcis-22531	4	23	type	type	NOUN
fcis-22531	4	24	.	.	PUNCT
fcis-22531	5	1	it	it	PRON
fcis-22531	5	2	uses	use	VERB
fcis-22531	5	3	clustering	cluster	VERB
fcis-22531	5	4	methods	method	NOUN
fcis-22531	5	5	to	to	PART
fcis-22531	5	6	distinguish	distinguish	VERB
fcis-22531	5	7	various	various	ADJ
fcis-22531	5	8	data	datum	NOUN
fcis-22531	5	9	types	type	NOUN
fcis-22531	5	10	and	and	CCONJ
fcis-22531	5	11	analyzes	analyze	VERB
fcis-22531	5	12	the	the	DET
fcis-22531	5	13	data	datum	NOUN
fcis-22531	5	14	after	after	ADP
fcis-22531	5	15	visual	visual	ADJ
fcis-22531	5	16	representation	representation	NOUN
fcis-22531	5	17	.	.	PUNCT
fcis-22531	6	1	the	the	DET
fcis-22531	6	2	visualization	visualization	NOUN
fcis-22531	6	3	of	of	ADP
fcis-22531	6	4	data	datum	NOUN
fcis-22531	6	5	illustrates	illustrate	VERB
fcis-22531	6	6	the	the	DET
fcis-22531	6	7	distribution	distribution	NOUN
fcis-22531	6	8	and	and	CCONJ
fcis-22531	6	9	trends	trend	NOUN
fcis-22531	6	10	,	,	PUNCT
fcis-22531	6	11	which	which	PRON
fcis-22531	6	12	aids	aid	VERB
fcis-22531	6	13	in	in	ADP
fcis-22531	6	14	understanding	understand	VERB
fcis-22531	6	15	the	the	DET
fcis-22531	6	16	characteristics	characteristic	NOUN
fcis-22531	6	17	of	of	ADP
fcis-22531	6	18	the	the	DET
fcis-22531	6	19	data	datum	NOUN
fcis-22531	6	20	,	,	PUNCT
fcis-22531	6	21	such	such	ADJ
fcis-22531	6	22	as	as	ADP
fcis-22531	6	23	the	the	DET
fcis-22531	6	24	upward	upward	ADJ
fcis-22531	6	25	trend	trend	NOUN
fcis-22531	6	26	observed	observe	VERB
fcis-22531	6	27	in	in	ADP
fcis-22531	6	28	precursory	precursory	ADJ
fcis-22531	6	29	feature	feature	NOUN
fcis-22531	6	30	data	datum	NOUN
fcis-22531	6	31	.	.	PUNCT
fcis-22531	7	1	during	during	ADP
fcis-22531	7	2	the	the	DET
fcis-22531	7	3	data	data	NOUN
fcis-22531	7	4	preprocessing	preprocessing	NOUN
fcis-22531	7	5	phase	phase	NOUN
fcis-22531	7	6	,	,	PUNCT
fcis-22531	7	7	diagrams	diagram	NOUN
fcis-22531	7	8	of	of	ADP
fcis-22531	7	9	various	various	ADJ
fcis-22531	7	10	classes	class	NOUN
fcis-22531	7	11	of	of	ADP
fcis-22531	7	12	data	datum	NOUN
fcis-22531	7	13	for	for	ADP
fcis-22531	7	14	acoustic	acoustic	ADJ
fcis-22531	7	15	emission	emission	NOUN
fcis-22531	7	16	(	(	PUNCT
fcis-22531	7	17	ae	ae	PROPN
fcis-22531	7	18	)	)	PUNCT
fcis-22531	7	19	and	and	CCONJ
fcis-22531	7	20	electromagnetic	electromagnetic	ADJ
fcis-22531	7	21	radiation	radiation	NOUN
fcis-22531	7	22	(	(	PUNCT
fcis-22531	7	23	emr	emr	NOUN
fcis-22531	7	24	)	)	PUNCT
fcis-22531	7	25	intensity	intensity	NOUN
fcis-22531	7	26	are	be	AUX
fcis-22531	7	27	presented	present	VERB
fcis-22531	7	28	,	,	PUNCT
fcis-22531	7	29	providing	provide	VERB
fcis-22531	7	30	an	an	DET
fcis-22531	7	31	intuitive	intuitive	ADJ
fcis-22531	7	32	reference	reference	NOUN
fcis-22531	7	33	for	for	ADP
fcis-22531	7	34	subsequent	subsequent	ADJ
fcis-22531	7	35	analysis	analysis	NOUN
fcis-22531	7	36	.	.	PUNCT
fcis-22531	8	1	the	the	DET
fcis-22531	8	2	research	research	NOUN
fcis-22531	8	3	utilizes	utilize	VERB
fcis-22531	8	4	the	the	DET
fcis-22531	8	5	random	random	ADJ
fcis-22531	8	6	forest	forest	NOUN
fcis-22531	8	7	algorithm	algorithm	NOUN
fcis-22531	8	8	and	and	CCONJ
fcis-22531	8	9	mk	mk	NOUN
fcis-22531	8	10	trend	trend	NOUN
fcis-22531	8	11	test	test	NOUN
fcis-22531	8	12	to	to	PART
fcis-22531	8	13	recognize	recognize	VERB
fcis-22531	8	14	precursor	precursor	NOUN
fcis-22531	8	15	signals	signal	NOUN
fcis-22531	8	16	and	and	CCONJ
fcis-22531	8	17	predict	predict	VERB
fcis-22531	8	18	their	their	PRON
fcis-22531	8	19	occurrence	occurrence	NOUN
fcis-22531	8	20	intervals	interval	NOUN
fcis-22531	8	21	.	.	PUNCT
fcis-22531	9	1	the	the	DET
fcis-22531	9	2	random	random	ADJ
fcis-22531	9	3	forest	forest	NOUN
fcis-22531	9	4	model	model	NOUN
fcis-22531	9	5	is	be	AUX
fcis-22531	9	6	chosen	choose	VERB
fcis-22531	9	7	for	for	ADP
fcis-22531	9	8	its	its	PRON
fcis-22531	9	9	efficiency	efficiency	NOUN
fcis-22531	9	10	and	and	CCONJ
fcis-22531	9	11	accuracy	accuracy	NOUN
fcis-22531	9	12	in	in	ADP
fcis-22531	9	13	handling	handle	VERB
fcis-22531	9	14	classification	classification	NOUN
fcis-22531	9	15	and	and	CCONJ
fcis-22531	9	16	regression	regression	NOUN
fcis-22531	9	17	issues	issue	NOUN
fcis-22531	9	18	,	,	PUNCT
fcis-22531	9	19	while	while	SCONJ
fcis-22531	9	20	the	the	DET
fcis-22531	9	21	mk	mk	PROPN
fcis-22531	9	22	trend	trend	NOUN
fcis-22531	9	23	test	test	NOUN
fcis-22531	9	24	provides	provide	VERB
fcis-22531	9	25	a	a	DET
fcis-22531	9	26	statistical	statistical	ADJ
fcis-22531	9	27	basis	basis	NOUN
fcis-22531	9	28	for	for	ADP
fcis-22531	9	29	identifying	identify	VERB
fcis-22531	9	30	precursory	precursory	NOUN
fcis-22531	9	31	signals	signal	NOUN
fcis-22531	9	32	by	by	ADP
fcis-22531	9	33	analyzing	analyze	VERB
fcis-22531	9	34	monotonic	monotonic	ADJ
fcis-22531	9	35	trends	trend	NOUN
fcis-22531	9	36	within	within	ADP
fcis-22531	9	37	the	the	DET
fcis-22531	9	38	dataset	dataset	NOUN
fcis-22531	9	39	.	.	PUNCT
fcis-22531	10	1	this	this	DET
fcis-22531	10	2	study	study	NOUN
fcis-22531	10	3	not	not	PART
fcis-22531	10	4	only	only	ADV
fcis-22531	10	5	enhances	enhance	VERB
fcis-22531	10	6	the	the	DET
fcis-22531	10	7	accuracy	accuracy	NOUN
fcis-22531	10	8	of	of	ADP
fcis-22531	10	9	precursory	precursory	ADJ
fcis-22531	10	10	signal	signal	NOUN
fcis-22531	10	11	identification	identification	NOUN
fcis-22531	10	12	for	for	ADP
fcis-22531	10	13	coal	coal	NOUN
fcis-22531	10	14	mine	mine	NOUN
fcis-22531	10	15	rock	rock	NOUN
fcis-22531	10	16	bursts	burst	NOUN
fcis-22531	10	17	but	but	CCONJ
fcis-22531	10	18	also	also	ADV
fcis-22531	10	19	offers	offer	VERB
fcis-22531	10	20	scientific	scientific	ADJ
fcis-22531	10	21	early	early	ADJ
fcis-22531	10	22	warning	warning	NOUN
fcis-22531	10	23	and	and	CCONJ
fcis-22531	10	24	control	control	NOUN
fcis-22531	10	25	measures	measure	NOUN
fcis-22531	10	26	for	for	ADP
fcis-22531	10	27	coal	coal	NOUN
fcis-22531	10	28	mine	mine	NOUN
fcis-22531	10	29	safety	safety	NOUN
fcis-22531	10	30	production	production	NOUN
fcis-22531	10	31	,	,	PUNCT
fcis-22531	10	32	which	which	PRON
fcis-22531	10	33	is	be	AUX
fcis-22531	10	34	of	of	ADP
fcis-22531	10	35	significant	significant	ADJ
fcis-22531	10	36	practical	practical	ADJ
fcis-22531	10	37	value	value	NOUN
fcis-22531	10	38	.	.	PUNCT
fcis-22531	11	1	keywords	keyword	NOUN
fcis-22531	11	2	:	:	PUNCT
fcis-22531	11	3	coal	coal	NOUN
fcis-22531	11	4	mine	mine	NOUN
fcis-22531	11	5	rock	rock	NOUN
fcis-22531	11	6	burst	burst	NOUN
fcis-22531	11	7	;	;	PUNCT
fcis-22531	11	8	precursory	precursory	ADJ
fcis-22531	11	9	characteristic	characteristic	ADJ
fcis-22531	11	10	signals	signal	NOUN
fcis-22531	11	11	;	;	PUNCT
fcis-22531	11	12	random	random	ADJ
fcis-22531	11	13	forest	forest	NOUN
fcis-22531	11	14	;	;	PUNCT
fcis-22531	11	15	mk	mk	NOUN
fcis-22531	11	16	trend	trend	NOUN
fcis-22531	11	17	test	test	NOUN
fcis-22531	11	18	;	;	PUNCT
fcis-22531	11	19	perceptron	perceptron	PROPN
fcis-22531	11	20	.	.	PUNCT
fcis-22531	12	1	1	1	X
fcis-22531	12	2	.	.	X
fcis-22531	12	3	introduction	introduction	NOUN
fcis-22531	12	4	coal	coal	NOUN
fcis-22531	12	5	,	,	PUNCT
fcis-22531	12	6	as	as	ADP
fcis-22531	12	7	a	a	DET
fcis-22531	12	8	vital	vital	ADJ
fcis-22531	12	9	component	component	NOUN
fcis-22531	12	10	of	of	ADP
fcis-22531	12	11	global	global	ADJ
fcis-22531	12	12	energy	energy	NOUN
fcis-22531	12	13	,	,	PUNCT
fcis-22531	12	14	plays	play	VERB
fcis-22531	12	15	a	a	DET
fcis-22531	12	16	crucial	crucial	ADJ
fcis-22531	12	17	role	role	NOUN
fcis-22531	12	18	in	in	ADP
fcis-22531	12	19	economic	economic	ADJ
fcis-22531	12	20	and	and	CCONJ
fcis-22531	12	21	social	social	ADJ
fcis-22531	12	22	development	development	NOUN
fcis-22531	12	23	.	.	PUNCT
fcis-22531	13	1	however	however	ADV
fcis-22531	13	2	,	,	PUNCT
fcis-22531	13	3	as	as	SCONJ
fcis-22531	13	4	coal	coal	NOUN
fcis-22531	13	5	mining	mining	NOUN
fcis-22531	13	6	deepens	deepen	VERB
fcis-22531	13	7	,	,	PUNCT
fcis-22531	13	8	safety	safety	NOUN
fcis-22531	13	9	issues	issue	NOUN
fcis-22531	13	10	in	in	ADP
fcis-22531	13	11	coal	coal	NOUN
fcis-22531	13	12	mines	mine	NOUN
fcis-22531	13	13	become	become	VERB
fcis-22531	13	14	increasingly	increasingly	ADV
fcis-22531	13	15	prominent	prominent	ADJ
fcis-22531	13	16	,	,	PUNCT
fcis-22531	13	17	especially	especially	ADV
fcis-22531	13	18	rock	rock	NOUN
fcis-22531	13	19	burst	burst	ADJ
fcis-22531	13	20	accidents	accident	NOUN
fcis-22531	13	21	that	that	PRON
fcis-22531	13	22	not	not	PART
fcis-22531	13	23	only	only	ADV
fcis-22531	13	24	threaten	threaten	VERB
fcis-22531	13	25	the	the	DET
fcis-22531	13	26	lives	life	NOUN
fcis-22531	13	27	of	of	ADP
fcis-22531	13	28	miners	miner	NOUN
fcis-22531	13	29	but	but	CCONJ
fcis-22531	13	30	also	also	ADV
fcis-22531	13	31	lead	lead	VERB
fcis-22531	13	32	to	to	ADP
fcis-22531	13	33	significant	significant	ADJ
fcis-22531	13	34	economic	economic	ADJ
fcis-22531	13	35	losses	loss	NOUN
fcis-22531	13	36	[	[	X
fcis-22531	13	37	1	1	NUM
fcis-22531	13	38	]	]	PUNCT
fcis-22531	13	39	.	.	PUNCT
fcis-22531	14	1	therefore	therefore	ADV
fcis-22531	14	2	,	,	PUNCT
fcis-22531	14	3	effective	effective	ADJ
fcis-22531	14	4	prediction	prediction	NOUN
fcis-22531	14	5	and	and	CCONJ
fcis-22531	14	6	early	early	ADJ
fcis-22531	14	7	warning	warning	NOUN
fcis-22531	14	8	of	of	ADP
fcis-22531	14	9	coal	coal	NOUN
fcis-22531	14	10	mine	mine	NOUN
fcis-22531	14	11	rock	rock	NOUN
fcis-22531	14	12	bursts	burst	NOUN
fcis-22531	14	13	have	have	AUX
fcis-22531	14	14	become	become	VERB
fcis-22531	14	15	a	a	DET
fcis-22531	14	16	key	key	ADJ
fcis-22531	14	17	issue	issue	NOUN
fcis-22531	14	18	in	in	ADP
fcis-22531	14	19	the	the	DET
fcis-22531	14	20	field	field	NOUN
fcis-22531	14	21	of	of	ADP
fcis-22531	14	22	mine	mine	ADJ
fcis-22531	14	23	safety	safety	NOUN
fcis-22531	14	24	[	[	X
fcis-22531	14	25	2	2	NUM
fcis-22531	14	26	-	-	SYM
fcis-22531	14	27	3	3	NUM
fcis-22531	14	28	]	]	PUNCT
fcis-22531	14	29	.	.	PUNCT
fcis-22531	15	1	rock	rock	NOUN
fcis-22531	15	2	bursts	burst	NOUN
fcis-22531	15	3	,	,	PUNCT
fcis-22531	15	4	as	as	ADP
fcis-22531	15	5	a	a	DET
fcis-22531	15	6	complex	complex	ADJ
fcis-22531	15	7	mining	mining	NOUN
fcis-22531	15	8	dynamic	dynamic	ADJ
fcis-22531	15	9	phenomenon	phenomenon	NOUN
fcis-22531	15	10	,	,	PUNCT
fcis-22531	15	11	are	be	AUX
fcis-22531	15	12	often	often	ADV
fcis-22531	15	13	accompanied	accompany	VERB
fcis-22531	15	14	by	by	ADP
fcis-22531	15	15	a	a	DET
fcis-22531	15	16	variety	variety	NOUN
fcis-22531	15	17	of	of	ADP
fcis-22531	15	18	precursory	precursory	ADJ
fcis-22531	15	19	feature	feature	NOUN
fcis-22531	15	20	signals	signal	NOUN
fcis-22531	15	21	.	.	PUNCT
fcis-22531	16	1	these	these	DET
fcis-22531	16	2	signals	signal	NOUN
fcis-22531	16	3	include	include	VERB
fcis-22531	16	4	,	,	PUNCT
fcis-22531	16	5	but	but	CCONJ
fcis-22531	16	6	are	be	AUX
fcis-22531	16	7	not	not	PART
fcis-22531	16	8	limited	limit	VERB
fcis-22531	16	9	to	to	ADP
fcis-22531	16	10	,	,	PUNCT
fcis-22531	16	11	electromagnetic	electromagnetic	ADJ
fcis-22531	16	12	radiation	radiation	NOUN
fcis-22531	16	13	,	,	PUNCT
fcis-22531	16	14	acoustic	acoustic	ADJ
fcis-22531	16	15	wave	wave	NOUN
fcis-22531	16	16	activity	activity	NOUN
fcis-22531	16	17	,	,	PUNCT
fcis-22531	16	18	and	and	CCONJ
fcis-22531	16	19	other	other	ADJ
fcis-22531	16	20	physical	physical	ADJ
fcis-22531	16	21	phenomena	phenomenon	NOUN
fcis-22531	16	22	.	.	PUNCT
fcis-22531	17	1	identifying	identify	VERB
fcis-22531	17	2	and	and	CCONJ
fcis-22531	17	3	interpreting	interpret	VERB
fcis-22531	17	4	these	these	DET
fcis-22531	17	5	precursory	precursory	NOUN
fcis-22531	17	6	signals	signal	NOUN
fcis-22531	17	7	are	be	AUX
fcis-22531	17	8	of	of	ADP
fcis-22531	17	9	great	great	ADJ
fcis-22531	17	10	significance	significance	NOUN
fcis-22531	17	11	for	for	ADP
fcis-22531	17	12	predicting	predict	VERB
fcis-22531	17	13	rock	rock	NOUN
fcis-22531	17	14	bursts	burst	NOUN
fcis-22531	17	15	.	.	PUNCT
fcis-22531	18	1	however	however	ADV
fcis-22531	18	2	,	,	PUNCT
fcis-22531	18	3	due	due	ADP
fcis-22531	18	4	to	to	ADP
fcis-22531	18	5	the	the	DET
fcis-22531	18	6	complexity	complexity	NOUN
fcis-22531	18	7	and	and	CCONJ
fcis-22531	18	8	variability	variability	NOUN
fcis-22531	18	9	of	of	ADP
fcis-22531	18	10	these	these	DET
fcis-22531	18	11	signals	signal	NOUN
fcis-22531	18	12	,	,	PUNCT
fcis-22531	18	13	traditional	traditional	ADJ
fcis-22531	18	14	prediction	prediction	NOUN
fcis-22531	18	15	methods	method	NOUN
fcis-22531	18	16	often	often	ADV
fcis-22531	18	17	struggle	struggle	VERB
fcis-22531	18	18	to	to	PART
fcis-22531	18	19	accurately	accurately	ADV
fcis-22531	18	20	identify	identify	VERB
fcis-22531	18	21	and	and	CCONJ
fcis-22531	18	22	predict	predict	VERB
fcis-22531	18	23	rock	rock	NOUN
fcis-22531	18	24	burst	burst	ADJ
fcis-22531	18	25	events	event	NOUN
fcis-22531	18	26	[	[	X
fcis-22531	18	27	4	4	NUM
fcis-22531	18	28	-	-	SYM
fcis-22531	18	29	5	5	NUM
fcis-22531	18	30	]	]	PUNCT
fcis-22531	18	31	.	.	PUNCT
fcis-22531	19	1	to	to	PART
fcis-22531	19	2	improve	improve	VERB
fcis-22531	19	3	the	the	DET
fcis-22531	19	4	accuracy	accuracy	NOUN
fcis-22531	19	5	of	of	ADP
fcis-22531	19	6	predictions	prediction	NOUN
fcis-22531	19	7	,	,	PUNCT
fcis-22531	19	8	this	this	DET
fcis-22531	19	9	paper	paper	NOUN
fcis-22531	19	10	proposes	propose	VERB
fcis-22531	19	11	an	an	DET
fcis-22531	19	12	integrated	integrate	VERB
fcis-22531	19	13	method	method	NOUN
fcis-22531	19	14	based	base	VERB
fcis-22531	19	15	on	on	ADP
fcis-22531	19	16	the	the	DET
fcis-22531	19	17	random	random	ADJ
fcis-22531	19	18	forest	forest	NOUN
fcis-22531	19	19	and	and	CCONJ
fcis-22531	19	20	mk	mk	PROPN
fcis-22531	19	21	(	(	PUNCT
fcis-22531	19	22	mann	mann	PROPN
fcis-22531	19	23	-	-	PUNCT
fcis-22531	19	24	kendall	kendall	PROPN
fcis-22531	19	25	)	)	PUNCT
fcis-22531	19	26	trend	trend	NOUN
fcis-22531	19	27	test	test	NOUN
fcis-22531	19	28	.	.	PUNCT
fcis-22531	20	1	the	the	DET
fcis-22531	20	2	random	random	ADJ
fcis-22531	20	3	forest	forest	NOUN
fcis-22531	20	4	,	,	PUNCT
fcis-22531	20	5	as	as	ADP
fcis-22531	20	6	an	an	DET
fcis-22531	20	7	ensemble	ensemble	ADJ
fcis-22531	20	8	learning	learning	NOUN
fcis-22531	20	9	technique	technique	NOUN
fcis-22531	20	10	,	,	PUNCT
fcis-22531	20	11	enhances	enhance	VERB
fcis-22531	20	12	model	model	NOUN
fcis-22531	20	13	performance	performance	NOUN
fcis-22531	20	14	and	and	CCONJ
fcis-22531	20	15	generalization	generalization	NOUN
fcis-22531	20	16	ability	ability	NOUN
fcis-22531	20	17	by	by	ADP
fcis-22531	20	18	constructing	construct	VERB
fcis-22531	20	19	multiple	multiple	ADJ
fcis-22531	20	20	decision	decision	NOUN
fcis-22531	20	21	trees	tree	NOUN
fcis-22531	20	22	and	and	CCONJ
fcis-22531	20	23	voting	voting	NOUN
fcis-22531	20	24	or	or	CCONJ
fcis-22531	20	25	averaging	average	VERB
fcis-22531	20	26	[	[	X
fcis-22531	20	27	6	6	NUM
fcis-22531	20	28	]	]	PUNCT
fcis-22531	20	29	.	.	PUNCT
fcis-22531	21	1	the	the	DET
fcis-22531	21	2	mk	mk	PROPN
fcis-22531	21	3	trend	trend	NOUN
fcis-22531	21	4	test	test	NOUN
fcis-22531	21	5	is	be	AUX
fcis-22531	21	6	a	a	DET
fcis-22531	21	7	nonparametric	nonparametric	ADJ
fcis-22531	21	8	statistical	statistical	ADJ
fcis-22531	21	9	method	method	NOUN
fcis-22531	21	10	that	that	PRON
fcis-22531	21	11	can	can	AUX
fcis-22531	21	12	effectively	effectively	ADV
fcis-22531	21	13	detect	detect	VERB
fcis-22531	21	14	trend	trend	NOUN
fcis-22531	21	15	changes	change	NOUN
fcis-22531	21	16	in	in	ADP
fcis-22531	21	17	a	a	DET
fcis-22531	21	18	dataset	dataset	NOUN
fcis-22531	21	19	[	[	X
fcis-22531	21	20	7	7	NUM
fcis-22531	21	21	]	]	PUNCT
fcis-22531	21	22	.	.	PUNCT
fcis-22531	22	1	by	by	ADP
fcis-22531	22	2	combining	combine	VERB
fcis-22531	22	3	these	these	DET
fcis-22531	22	4	two	two	NUM
fcis-22531	22	5	methods	method	NOUN
fcis-22531	22	6	,	,	PUNCT
fcis-22531	22	7	this	this	DET
fcis-22531	22	8	paper	paper	NOUN
fcis-22531	22	9	aims	aim	VERB
fcis-22531	22	10	to	to	PART
fcis-22531	22	11	build	build	VERB
fcis-22531	22	12	a	a	DET
fcis-22531	22	13	robust	robust	ADJ
fcis-22531	22	14	recognition	recognition	NOUN
fcis-22531	22	15	and	and	CCONJ
fcis-22531	22	16	prediction	prediction	NOUN
fcis-22531	22	17	model	model	NOUN
fcis-22531	22	18	to	to	PART
fcis-22531	22	19	improve	improve	VERB
fcis-22531	22	20	the	the	DET
fcis-22531	22	21	identification	identification	NOUN
fcis-22531	22	22	rate	rate	NOUN
fcis-22531	22	23	and	and	CCONJ
fcis-22531	22	24	prediction	prediction	NOUN
fcis-22531	22	25	accuracy	accuracy	NOUN
fcis-22531	22	26	of	of	ADP
fcis-22531	22	27	precursor	precursor	NOUN
fcis-22531	22	28	signals	signal	NOUN
fcis-22531	22	29	of	of	ADP
fcis-22531	22	30	coal	coal	NOUN
fcis-22531	22	31	mine	mine	NOUN
fcis-22531	22	32	rock	rock	NOUN
fcis-22531	22	33	bursts	burst	NOUN
fcis-22531	22	34	.	.	PUNCT
fcis-22531	23	1	2	2	X
fcis-22531	23	2	.	.	X
fcis-22531	23	3	data	datum	NOUN
fcis-22531	23	4	preprocessing	preprocesse	VERB
fcis-22531	23	5	2.1	2.1	NUM
fcis-22531	23	6	.	.	PUNCT
fcis-22531	24	1	data	datum	NOUN
fcis-22531	24	2	cleaning	clean	VERB
fcis-22531	24	3	fig	fig	NOUN
fcis-22531	24	4	1	1	NUM
fcis-22531	24	5	.	.	PUNCT
fcis-22531	24	6	ae	ae	PROPN
fcis-22531	24	7	intensity	intensity	PROPN
fcis-22531	24	8	map	map	NOUN
fcis-22531	24	9	of	of	ADP
fcis-22531	24	10	class	class	NOUN
fcis-22531	24	11	a	a	PRON
fcis-22531	24	12	and	and	CCONJ
fcis-22531	24	13	class	class	NOUN
fcis-22531	24	14	b	b	PROPN
fcis-22531	24	15	data	datum	NOUN
fcis-22531	24	16	in	in	ADP
fcis-22531	24	17	this	this	DET
fcis-22531	24	18	paper	paper	NOUN
fcis-22531	24	19	,	,	PUNCT
fcis-22531	24	20	the	the	DET
fcis-22531	24	21	data	datum	NOUN
fcis-22531	24	22	are	be	AUX
fcis-22531	24	23	preprocessed	preprocesse	VERB
fcis-22531	24	24	and	and	CCONJ
fcis-22531	24	25	analyzed	analyze	VERB
fcis-22531	24	26	first	first	ADV
fcis-22531	24	27	.	.	PUNCT
fcis-22531	25	1	we	we	PRON
fcis-22531	25	2	preprocessed	preprocesse	VERB
fcis-22531	25	3	electromagnetic	electromagnetic	ADJ
fcis-22531	25	4	radiation	radiation	NOUN
fcis-22531	25	5	intensity	intensity	NOUN
fcis-22531	25	6	,	,	PUNCT
fcis-22531	25	7	acoustic	acoustic	ADJ
fcis-22531	25	8	wave	wave	NOUN
fcis-22531	25	9	intensity	intensity	NOUN
fcis-22531	25	10	and	and	CCONJ
fcis-22531	25	11	type	type	NOUN
fcis-22531	25	12	as	as	ADP
fcis-22531	25	13	indicators	indicator	NOUN
fcis-22531	25	14	,	,	PUNCT
fcis-22531	25	15	distinguished	distinguish	VERB
fcis-22531	25	16	various	various	ADJ
fcis-22531	25	17	data	datum	NOUN
fcis-22531	25	18	by	by	ADP
fcis-22531	25	19	clustering	cluster	VERB
fcis-22531	25	20	method	method	NOUN
fcis-22531	25	21	,	,	PUNCT
fcis-22531	25	22	and	and	CCONJ
fcis-22531	25	23	analyzed	analyze	VERB
fcis-22531	25	24	the	the	DET
fcis-22531	25	25	data	datum	NOUN
fcis-22531	25	26	after	after	ADP
fcis-22531	25	27	data	data	NOUN
fcis-22531	25	28	visualization	visualization	NOUN
fcis-22531	25	29	.	.	PUNCT
fcis-22531	26	1	in	in	ADP
fcis-22531	26	2	the	the	DET
fcis-22531	26	3	visualization	visualization	NOUN
fcis-22531	26	4	of	of	ADP
fcis-22531	26	5	data	datum	NOUN
fcis-22531	26	6	,	,	PUNCT
fcis-22531	26	7	we	we	PRON
fcis-22531	26	8	show	show	VERB
fcis-22531	26	9	the	the	DET
fcis-22531	26	10	distribution	distribution	NOUN
fcis-22531	26	11	and	and	CCONJ
fcis-22531	26	12	trend	trend	NOUN
fcis-22531	26	13	of	of	ADP
fcis-22531	26	14	data	datum	NOUN
fcis-22531	26	15	by	by	ADP
fcis-22531	26	16	drawing	draw	VERB
fcis-22531	26	17	to	to	PART
fcis-22531	26	18	help	help	VERB
fcis-22531	26	19	understand	understand	VERB
fcis-22531	26	20	2	2	NUM
fcis-22531	26	21	the	the	DET
fcis-22531	26	22	characteristics	characteristic	NOUN
fcis-22531	26	23	of	of	ADP
fcis-22531	26	24	data	datum	NOUN
fcis-22531	26	25	,	,	PUNCT
fcis-22531	26	26	such	such	ADJ
fcis-22531	26	27	as	as	ADP
fcis-22531	26	28	the	the	DET
fcis-22531	26	29	upward	upward	ADJ
fcis-22531	26	30	trend	trend	NOUN
fcis-22531	26	31	of	of	ADP
fcis-22531	26	32	precursor	precursor	NOUN
fcis-22531	26	33	feature	feature	NOUN
fcis-22531	26	34	data	datum	NOUN
fcis-22531	26	35	.	.	PUNCT
fcis-22531	27	1	fig	fig	NOUN
fcis-22531	27	2	.	.	PUNCT
fcis-22531	28	1	1	1	NUM
fcis-22531	28	2	are	be	AUX
fcis-22531	28	3	ae	ae	PROPN
fcis-22531	28	4	intensity	intensity	NOUN
fcis-22531	28	5	graphs	graph	NOUN
fcis-22531	28	6	of	of	ADP
fcis-22531	28	7	data	datum	NOUN
fcis-22531	28	8	a	a	PRON
fcis-22531	28	9	and	and	CCONJ
fcis-22531	28	10	b	b	NOUN
fcis-22531	28	11	,	,	PUNCT
fcis-22531	28	12	and	and	CCONJ
fcis-22531	28	13	fig	fig	NOUN
fcis-22531	28	14	.	.	PUNCT
fcis-22531	29	1	2	2	NUM
fcis-22531	29	2	are	be	AUX
fcis-22531	29	3	emr	emr	NOUN
fcis-22531	29	4	intensity	intensity	NOUN
fcis-22531	29	5	graphs	graph	NOUN
fcis-22531	29	6	of	of	ADP
fcis-22531	29	7	two	two	NUM
fcis-22531	29	8	types	type	NOUN
fcis-22531	29	9	of	of	ADP
fcis-22531	29	10	data	datum	NOUN
fcis-22531	29	11	.	.	PUNCT
fcis-22531	30	1	2.2	2.2	NUM
fcis-22531	30	2	.	.	PUNCT
fcis-22531	30	3	precursor	precursor	NOUN
fcis-22531	30	4	feature	feature	NOUN
fcis-22531	30	5	signals	signal	NOUN
fcis-22531	30	6	within	within	ADP
fcis-22531	30	7	about	about	ADV
fcis-22531	30	8	7	7	NUM
fcis-22531	30	9	days	day	NOUN
fcis-22531	30	10	before	before	SCONJ
fcis-22531	30	11	the	the	DET
fcis-22531	30	12	earth	earth	NOUN
fcis-22531	30	13	burst	burst	NOUN
fcis-22531	30	14	,	,	PUNCT
fcis-22531	30	15	the	the	DET
fcis-22531	30	16	electromagnetic	electromagnetic	ADJ
fcis-22531	30	17	radiation	radiation	NOUN
fcis-22531	30	18	and	and	CCONJ
fcis-22531	30	19	acoustic	acoustic	ADJ
fcis-22531	30	20	emission	emission	NOUN
fcis-22531	30	21	signals	signal	NOUN
fcis-22531	30	22	have	have	VERB
fcis-22531	30	23	a	a	DET
fcis-22531	30	24	tendency	tendency	NOUN
fcis-22531	30	25	to	to	PART
fcis-22531	30	26	increase	increase	VERB
fcis-22531	30	27	with	with	ADP
fcis-22531	30	28	time	time	NOUN
fcis-22531	30	29	cycle	cycle	NOUN
fcis-22531	30	30	,	,	PUNCT
fcis-22531	30	31	which	which	PRON
fcis-22531	30	32	is	be	AUX
fcis-22531	30	33	called	call	VERB
fcis-22531	30	34	precursor	precursor	NOUN
fcis-22531	30	35	characteristic	characteristic	ADJ
fcis-22531	30	36	signals	signal	NOUN
fcis-22531	30	37	.	.	PUNCT
fcis-22531	31	1	rock	rock	NOUN
fcis-22531	31	2	burst	burst	NOUN
fcis-22531	31	3	may	may	AUX
fcis-22531	31	4	occur	occur	VERB
fcis-22531	31	5	within	within	ADP
fcis-22531	31	6	about	about	ADV
fcis-22531	31	7	7	7	NUM
fcis-22531	31	8	days	day	NOUN
fcis-22531	31	9	after	after	ADP
fcis-22531	31	10	the	the	DET
fcis-22531	31	11	occurrence	occurrence	NOUN
fcis-22531	31	12	of	of	ADP
fcis-22531	31	13	precursor	precursor	NOUN
fcis-22531	31	14	characteristic	characteristic	ADJ
fcis-22531	31	15	signals	signal	NOUN
fcis-22531	31	16	,	,	PUNCT
fcis-22531	31	17	so	so	SCONJ
fcis-22531	31	18	in	in	ADP
fcis-22531	31	19	general	general	ADJ
fcis-22531	31	20	,	,	PUNCT
fcis-22531	31	21	after	after	ADP
fcis-22531	31	22	the	the	DET
fcis-22531	31	23	occurrence	occurrence	NOUN
fcis-22531	31	24	of	of	ADP
fcis-22531	31	25	precursor	precursor	NOUN
fcis-22531	31	26	characteristic	characteristic	ADJ
fcis-22531	31	27	signals	signal	NOUN
fcis-22531	31	28	,	,	PUNCT
fcis-22531	31	29	certain	certain	ADJ
fcis-22531	31	30	measures	measure	NOUN
fcis-22531	31	31	will	will	AUX
fcis-22531	31	32	be	be	AUX
fcis-22531	31	33	taken	take	VERB
fcis-22531	31	34	to	to	PART
fcis-22531	31	35	prevent	prevent	VERB
fcis-22531	31	36	rock	rock	NOUN
fcis-22531	31	37	burst	burst	NOUN
fcis-22531	31	38	as	as	ADV
fcis-22531	31	39	much	much	ADV
fcis-22531	31	40	as	as	ADP
fcis-22531	31	41	possible	possible	ADJ
fcis-22531	31	42	.	.	PUNCT
fcis-22531	32	1	fig	fig	NOUN
fcis-22531	32	2	2	2	NUM
fcis-22531	32	3	.	.	PUNCT
fcis-22531	32	4	emr	emr	PROPN
fcis-22531	32	5	intensity	intensity	PROPN
fcis-22531	32	6	map	map	NOUN
fcis-22531	32	7	of	of	ADP
fcis-22531	32	8	class	class	NOUN
fcis-22531	32	9	a	a	PRON
fcis-22531	32	10	and	and	CCONJ
fcis-22531	32	11	class	class	NOUN
fcis-22531	32	12	b	b	PROPN
fcis-22531	32	13	data	datum	NOUN
fcis-22531	32	14	this	this	DET
fcis-22531	32	15	paper	paper	NOUN
fcis-22531	32	16	first	first	ADV
fcis-22531	32	17	analyzed	analyze	VERB
fcis-22531	32	18	the	the	DET
fcis-22531	32	19	data	datum	NOUN
fcis-22531	32	20	,	,	PUNCT
fcis-22531	32	21	visualized	visualize	VERB
fcis-22531	32	22	the	the	DET
fcis-22531	32	23	normal	normal	ADJ
fcis-22531	32	24	signal	signal	NOUN
fcis-22531	32	25	and	and	CCONJ
fcis-22531	32	26	the	the	DET
fcis-22531	32	27	precursor	precursor	NOUN
fcis-22531	32	28	signal	signal	NOUN
fcis-22531	32	29	,	,	PUNCT
fcis-22531	32	30	and	and	CCONJ
fcis-22531	32	31	found	find	VERB
fcis-22531	32	32	that	that	SCONJ
fcis-22531	32	33	the	the	DET
fcis-22531	32	34	precursor	precursor	NOUN
fcis-22531	32	35	characteristic	characteristic	ADJ
fcis-22531	32	36	signal	signal	NOUN
fcis-22531	32	37	strength	strength	NOUN
fcis-22531	32	38	has	have	VERB
fcis-22531	32	39	a	a	DET
fcis-22531	32	40	slight	slight	ADJ
fcis-22531	32	41	upward	upward	ADJ
fcis-22531	32	42	trend	trend	NOUN
fcis-22531	32	43	,	,	PUNCT
fcis-22531	32	44	which	which	PRON
fcis-22531	32	45	is	be	AUX
fcis-22531	32	46	the	the	DET
fcis-22531	32	47	same	same	ADJ
fcis-22531	32	48	as	as	ADP
fcis-22531	32	49	the	the	DET
fcis-22531	32	50	definition	definition	NOUN
fcis-22531	32	51	of	of	ADP
fcis-22531	32	52	the	the	DET
fcis-22531	32	53	precursor	precursor	NOUN
fcis-22531	32	54	characteristic	characteristic	ADJ
fcis-22531	32	55	signal	signal	NOUN
fcis-22531	32	56	.	.	PUNCT
fcis-22531	33	1	fig	fig	NOUN
fcis-22531	33	2	.	.	PUNCT
fcis-22531	34	1	3	3	NUM
fcis-22531	34	2	and	and	CCONJ
fcis-22531	34	3	fig	fig	NOUN
fcis-22531	34	4	.	.	PUNCT
fcis-22531	35	1	4	4	NUM
fcis-22531	35	2	respectively	respectively	ADV
fcis-22531	35	3	show	show	VERB
fcis-22531	35	4	the	the	DET
fcis-22531	35	5	comparison	comparison	NOUN
fcis-22531	35	6	results	result	VERB
fcis-22531	35	7	between	between	ADP
fcis-22531	35	8	the	the	DET
fcis-22531	35	9	normal	normal	ADJ
fcis-22531	35	10	acoustic	acoustic	ADJ
fcis-22531	35	11	emission	emission	NOUN
fcis-22531	35	12	signal	signal	NOUN
fcis-22531	35	13	and	and	CCONJ
fcis-22531	35	14	the	the	DET
fcis-22531	35	15	precursor	precursor	NOUN
fcis-22531	35	16	characteristic	characteristic	ADJ
fcis-22531	35	17	signal	signal	NOUN
fcis-22531	35	18	strength	strength	NOUN
fcis-22531	35	19	and	and	CCONJ
fcis-22531	35	20	the	the	DET
fcis-22531	35	21	normal	normal	ADJ
fcis-22531	35	22	electromagnetic	electromagnetic	ADJ
fcis-22531	35	23	radiation	radiation	NOUN
fcis-22531	35	24	signal	signal	NOUN
fcis-22531	35	25	and	and	CCONJ
fcis-22531	35	26	the	the	DET
fcis-22531	35	27	precursor	precursor	NOUN
fcis-22531	35	28	characteristic	characteristic	ADJ
fcis-22531	35	29	signal	signal	NOUN
fcis-22531	35	30	strength	strength	NOUN
fcis-22531	35	31	.	.	PUNCT
fcis-22531	36	1	fig	fig	NOUN
fcis-22531	36	2	3	3	NUM
fcis-22531	36	3	.	.	PUNCT
fcis-22531	37	1	comparison	comparison	NOUN
fcis-22531	37	2	of	of	ADP
fcis-22531	37	3	the	the	DET
fcis-22531	37	4	intensity	intensity	NOUN
fcis-22531	37	5	of	of	ADP
fcis-22531	37	6	acoustic	acoustic	ADJ
fcis-22531	37	7	emission	emission	NOUN
fcis-22531	37	8	normal	normal	ADJ
fcis-22531	37	9	signal	signal	NOUN
fcis-22531	37	10	and	and	CCONJ
fcis-22531	37	11	precursor	precursor	NOUN
fcis-22531	37	12	characteristic	characteristic	ADJ
fcis-22531	37	13	signal	signal	NOUN
fcis-22531	37	14	fig	fig	NOUN
fcis-22531	37	15	4	4	NUM
fcis-22531	37	16	.	.	PUNCT
fcis-22531	37	17	comparison	comparison	NOUN
fcis-22531	37	18	of	of	ADP
fcis-22531	37	19	the	the	DET
fcis-22531	37	20	intensity	intensity	NOUN
fcis-22531	37	21	of	of	ADP
fcis-22531	37	22	normal	normal	ADJ
fcis-22531	37	23	and	and	CCONJ
fcis-22531	37	24	precursory	precursory	ADJ
fcis-22531	37	25	characteristic	characteristic	ADJ
fcis-22531	37	26	signals	signal	NOUN
fcis-22531	37	27	of	of	ADP
fcis-22531	37	28	electromagnetic	electromagnetic	ADJ
fcis-22531	37	29	radiation	radiation	NOUN
fcis-22531	37	30	3	3	NUM
fcis-22531	37	31	.	.	PUNCT
fcis-22531	37	32	model	model	NOUN
fcis-22531	37	33	construction	construction	NOUN
fcis-22531	37	34	in	in	ADP
fcis-22531	37	35	the	the	DET
fcis-22531	37	36	analysis	analysis	NOUN
fcis-22531	37	37	of	of	ADP
fcis-22531	37	38	precursor	precursor	NOUN
fcis-22531	37	39	data	datum	NOUN
fcis-22531	37	40	,	,	PUNCT
fcis-22531	37	41	this	this	DET
fcis-22531	37	42	paper	paper	NOUN
fcis-22531	37	43	uses	use	VERB
fcis-22531	37	44	ks	ks	PROPN
fcis-22531	37	45	test	test	NOUN
fcis-22531	37	46	,	,	PUNCT
fcis-22531	37	47	mk	mk	NOUN
fcis-22531	37	48	trend	trend	NOUN
fcis-22531	37	49	test	test	NOUN
fcis-22531	37	50	and	and	CCONJ
fcis-22531	37	51	adf	adf	PROPN
fcis-22531	37	52	stationary	stationary	PROPN
fcis-22531	37	53	series	series	PROPN
fcis-22531	37	54	test	test	NOUN
fcis-22531	37	55	to	to	PART
fcis-22531	37	56	test	test	VERB
fcis-22531	37	57	all	all	DET
fcis-22531	37	58	the	the	DET
fcis-22531	37	59	data	datum	NOUN
fcis-22531	37	60	in	in	ADP
fcis-22531	37	61	annex	annex	NOUN
fcis-22531	37	62	2	2	NUM
fcis-22531	37	63	,	,	PUNCT
fcis-22531	37	64	distinguish	distinguish	VERB
fcis-22531	37	65	precursor	precursor	NOUN
fcis-22531	37	66	data	datum	NOUN
fcis-22531	37	67	from	from	ADP
fcis-22531	37	68	normal	normal	ADJ
fcis-22531	37	69	data	datum	NOUN
fcis-22531	37	70	,	,	PUNCT
fcis-22531	37	71	calculate	calculate	NOUN
fcis-22531	37	72	and	and	CCONJ
fcis-22531	37	73	compare	compare	ADJ
fcis-22531	37	74	,	,	PUNCT
fcis-22531	37	75	and	and	CCONJ
fcis-22531	37	76	get	get	VERB
fcis-22531	37	77	their	their	PRON
fcis-22531	37	78	characteristics	characteristic	NOUN
fcis-22531	37	79	.	.	PUNCT
fcis-22531	38	1	then	then	ADV
fcis-22531	38	2	,	,	PUNCT
fcis-22531	38	3	the	the	DET
fcis-22531	38	4	features	feature	NOUN
fcis-22531	38	5	are	be	AUX
fcis-22531	38	6	substituted	substitute	VERB
fcis-22531	38	7	into	into	ADP
fcis-22531	38	8	the	the	DET
fcis-22531	38	9	random	random	ADJ
fcis-22531	38	10	forest	forest	NOUN
fcis-22531	38	11	model	model	NOUN
fcis-22531	38	12	for	for	ADP
fcis-22531	38	13	machine	machine	NOUN
fcis-22531	38	14	learning	learning	NOUN
fcis-22531	38	15	and	and	CCONJ
fcis-22531	38	16	interval	interval	NOUN
fcis-22531	38	17	calculation	calculation	NOUN
fcis-22531	38	18	.	.	PUNCT
fcis-22531	39	1	3.1	3.1	NUM
fcis-22531	39	2	.	.	PUNCT
fcis-22531	40	1	ks	ks	NOUN
fcis-22531	40	2	test	test	NOUN
fcis-22531	40	3	table	table	NOUN
fcis-22531	40	4	1	1	NUM
fcis-22531	40	5	.	.	PUNCT
fcis-22531	40	6	comparison	comparison	NOUN
fcis-22531	40	7	of	of	ADP
fcis-22531	40	8	normal	normal	ADJ
fcis-22531	40	9	and	and	CCONJ
fcis-22531	40	10	precursory	precursory	ADJ
fcis-22531	40	11	signals	signal	NOUN
fcis-22531	40	12	of	of	ADP
fcis-22531	40	13	electromagnetic	electromagnetic	ADJ
fcis-22531	40	14	radiation	radiation	NOUN
fcis-22531	40	15	normal	normal	ADJ
fcis-22531	40	16	emr	emr	PROPN
fcis-22531	40	17	emr	emr	PROPN
fcis-22531	40	18	precursor	precursor	PROPN
fcis-22531	40	19	normal	normal	ADJ
fcis-22531	40	20	ae	ae	PROPN
fcis-22531	40	21	ae	ae	PROPN
fcis-22531	40	22	precursor	precursor	NOUN
fcis-22531	40	23	quantity	quantity	NOUN
fcis-22531	40	24	73418	73418	NUM
fcis-22531	40	25	12532	12532	NUM
fcis-22531	40	26	15587	15587	NUM
fcis-22531	40	27	2212	2212	NUM
fcis-22531	40	28	mean	mean	NOUN
fcis-22531	40	29	value	value	NOUN
fcis-22531	40	30	49.81542148	49.81542148	NUM
fcis-22531	40	31	71.05480777	71.05480777	NUM
fcis-22531	40	32	37.4329889	37.4329889	NUM
fcis-22531	40	33	41.66865778	41.66865778	NUM
fcis-22531	40	34	standard	standard	ADJ
fcis-22531	40	35	deviation	deviation	NOUN
fcis-22531	40	36	18.27932445	18.27932445	NUM
fcis-22531	40	37	91.89984446	91.89984446	NUM
fcis-22531	40	38	3.72736829	3.72736829	NUM
fcis-22531	40	39	8.303728496	8.303728496	NUM
fcis-22531	40	40	minimum	minimum	NOUN
fcis-22531	40	41	value	value	NOUN
fcis-22531	40	42	9.61	9.61	NUM
fcis-22531	40	43	11.67	11.67	NUM
fcis-22531	40	44	29	29	NUM
fcis-22531	40	45	29	29	NUM
fcis-22531	40	46	25	25	NUM
fcis-22531	40	47	%	%	NOUN
fcis-22531	40	48	quantile	quantile	NOUN
fcis-22531	40	49	42.451	42.451	NUM
fcis-22531	40	50	30.14875	30.14875	NUM
fcis-22531	40	51	35.29	35.29	NUM
fcis-22531	40	52	35.41	35.41	NUM
fcis-22531	40	53	50	50	NUM
fcis-22531	40	54	%	%	NOUN
fcis-22531	40	55	quantile	quantile	NOUN
fcis-22531	40	56	46.4895	46.4895	NUM
fcis-22531	40	57	41	41	NUM
fcis-22531	40	58	36.661	36.661	NUM
fcis-22531	40	59	39.105	39.105	NUM
fcis-22531	40	60	75	75	NUM
fcis-22531	40	61	%	%	NOUN
fcis-22531	40	62	quantile	quantile	NOUN
fcis-22531	40	63	52	52	NUM
fcis-22531	40	64	71.674	71.674	NUM
fcis-22531	40	65	38.2655	38.2655	NUM
fcis-22531	40	66	45.16375	45.16375	NUM
fcis-22531	40	67	maximum	maximum	ADJ
fcis-22531	40	68	value	value	NOUN
fcis-22531	40	69	270	270	NUM
fcis-22531	40	70	491	491	NUM
fcis-22531	40	71	80	80	NUM
fcis-22531	40	72	81	81	NUM
fcis-22531	40	73	the	the	DET
fcis-22531	40	74	ks	ks	NOUN
fcis-22531	40	75	test	test	NOUN
fcis-22531	40	76	is	be	AUX
fcis-22531	40	77	a	a	DET
fcis-22531	40	78	test	test	NOUN
fcis-22531	40	79	to	to	PART
fcis-22531	40	80	see	see	VERB
fcis-22531	40	81	whether	whether	SCONJ
fcis-22531	40	82	a	a	DET
fcis-22531	40	83	distribution	distribution	NOUN
fcis-22531	40	84	f(x	f(x	NOUN
fcis-22531	40	85	)	)	PUNCT
fcis-22531	40	86	is	be	AUX
fcis-22531	40	87	consistent	consistent	ADJ
fcis-22531	40	88	with	with	ADP
fcis-22531	40	89	the	the	DET
fcis-22531	40	90	theoretical	theoretical	ADJ
fcis-22531	40	91	distribution	distribution	NOUN
fcis-22531	40	92	g(x	g(x	NOUN
fcis-22531	40	93	)	)	PUNCT
fcis-22531	40	94	,	,	PUNCT
fcis-22531	40	95	or	or	CCONJ
fcis-22531	40	96	whether	whether	SCONJ
fcis-22531	40	97	two	two	NUM
fcis-22531	40	98	observed	observed	ADJ
fcis-22531	40	99	distributions	distribution	NOUN
fcis-22531	40	100	are	be	AUX
fcis-22531	40	101	significantly	significantly	ADV
fcis-22531	40	102	different	different	ADJ
fcis-22531	40	103	.	.	PUNCT
fcis-22531	41	1	it	it	PRON
fcis-22531	41	2	can	can	AUX
fcis-22531	41	3	be	be	AUX
fcis-22531	41	4	seen	see	VERB
fcis-22531	41	5	from	from	ADP
fcis-22531	41	6	the	the	DET
fcis-22531	41	7	title	title	NOUN
fcis-22531	41	8	that	that	PRON
fcis-22531	41	9	the	the	DET
fcis-22531	41	10	precursory	precursory	ADJ
fcis-22531	41	11	characteristic	characteristic	ADJ
fcis-22531	41	12	signal	signal	NOUN
fcis-22531	41	13	is	be	AUX
fcis-22531	41	14	the	the	DET
fcis-22531	41	15	signal	signal	NOUN
fcis-22531	41	16	of	of	ADP
fcis-22531	41	17	electromagnetic	electromagnetic	ADJ
fcis-22531	41	18	radiation	radiation	NOUN
fcis-22531	41	19	and	and	CCONJ
fcis-22531	41	20	acoustic	acoustic	ADJ
fcis-22531	41	21	emission	emission	NOUN
fcis-22531	41	22	that	that	PRON
fcis-22531	41	23	has	have	VERB
fcis-22531	41	24	a	a	DET
fcis-22531	41	25	tendency	tendency	NOUN
fcis-22531	41	26	to	to	PART
fcis-22531	41	27	increase	increase	VERB
fcis-22531	41	28	with	with	ADP
fcis-22531	41	29	time	time	NOUN
fcis-22531	41	30	cycle	cycle	NOUN
fcis-22531	41	31	,	,	PUNCT
fcis-22531	41	32	and	and	CCONJ
fcis-22531	41	33	this	this	DET
fcis-22531	41	34	upward	upward	ADJ
fcis-22531	41	35	trend	trend	NOUN
fcis-22531	41	36	signal	signal	NOUN
fcis-22531	41	37	can	can	AUX
fcis-22531	41	38	be	be	AUX
fcis-22531	41	39	screened	screen	VERB
fcis-22531	41	40	by	by	ADP
fcis-22531	41	41	ks	ks	PROPN
fcis-22531	41	42	test	test	NOUN
fcis-22531	41	43	.	.	PUNCT
fcis-22531	42	1	therefore	therefore	ADV
fcis-22531	42	2	,	,	PUNCT
fcis-22531	42	3	in	in	ADP
fcis-22531	42	4	this	this	DET
fcis-22531	42	5	paper	paper	NOUN
fcis-22531	42	6	,	,	PUNCT
fcis-22531	42	7	ks	ks	PROPN
fcis-22531	42	8	test	test	NOUN
fcis-22531	42	9	is	be	AUX
fcis-22531	42	10	carried	carry	VERB
fcis-22531	42	11	out	out	ADP
fcis-22531	42	12	on	on	ADP
fcis-22531	42	13	all	all	DET
fcis-22531	42	14	the	the	DET
fcis-22531	42	15	data	datum	NOUN
fcis-22531	42	16	,	,	PUNCT
fcis-22531	42	17	the	the	DET
fcis-22531	42	18	precursor	precursor	NOUN
fcis-22531	42	19	feature	feature	NOUN
fcis-22531	42	20	data	datum	NOUN
fcis-22531	42	21	is	be	AUX
fcis-22531	42	22	selected	select	VERB
fcis-22531	42	23	,	,	PUNCT
fcis-22531	42	24	and	and	CCONJ
fcis-22531	42	25	a	a	DET
fcis-22531	42	26	series	series	NOUN
fcis-22531	42	27	of	of	ADP
fcis-22531	42	28	feature	feature	NOUN
fcis-22531	42	29	values	value	NOUN
fcis-22531	42	30	are	be	AUX
fcis-22531	42	31	obtained	obtain	VERB
fcis-22531	42	32	by	by	ADP
fcis-22531	42	33	comparing	compare	VERB
fcis-22531	42	34	it	it	PRON
fcis-22531	42	35	with	with	ADP
fcis-22531	42	36	the	the	DET
fcis-22531	42	37	normal	normal	ADJ
fcis-22531	42	38	data	datum	NOUN
fcis-22531	42	39	.	.	PUNCT
fcis-22531	43	1	the	the	DET
fcis-22531	43	2	data	data	PROPN
fcis-22531	43	3	comparison	comparison	NOUN
fcis-22531	43	4	results	result	NOUN
fcis-22531	43	5	of	of	ADP
fcis-22531	43	6	normal	normal	ADJ
fcis-22531	43	7	electromagnetic	electromagnetic	ADJ
fcis-22531	43	8	radiation	radiation	NOUN
fcis-22531	43	9	signals	signal	NOUN
fcis-22531	43	10	and	and	CCONJ
fcis-22531	43	11	precursor	precursor	NOUN
fcis-22531	43	12	signals	signal	NOUN
fcis-22531	43	13	are	be	AUX
fcis-22531	43	14	shown	show	VERB
fcis-22531	43	15	in	in	ADP
fcis-22531	43	16	the	the	DET
fcis-22531	43	17	table	table	NOUN
fcis-22531	43	18	1	1	NUM
fcis-22531	43	19	.	.	PUNCT
fcis-22531	44	1	among	among	ADP
fcis-22531	44	2	them	they	PRON
fcis-22531	44	3	,	,	PUNCT
fcis-22531	44	4	the	the	DET
fcis-22531	44	5	more	more	ADV
fcis-22531	44	6	obvious	obvious	ADJ
fcis-22531	44	7	is	be	AUX
fcis-22531	44	8	that	that	SCONJ
fcis-22531	44	9	the	the	DET
fcis-22531	44	10	mean	mean	ADJ
fcis-22531	44	11	value	value	NOUN
fcis-22531	44	12	and	and	CCONJ
fcis-22531	44	13	standard	standard	ADJ
fcis-22531	44	14	difference	difference	NOUN
fcis-22531	44	15	are	be	AUX
fcis-22531	44	16	large	large	ADJ
fcis-22531	44	17	.	.	PUNCT
fcis-22531	44	18	3	3	NUM
fcis-22531	44	19	fig	fig	NOUN
fcis-22531	44	20	5	5	NUM
fcis-22531	44	21	.	.	PUNCT
fcis-22531	44	22	autocorrelation	autocorrelation	NOUN
fcis-22531	44	23	function	function	NOUN
fcis-22531	44	24	diagram	diagram	NOUN
fcis-22531	44	25	of	of	ADP
fcis-22531	44	26	acoustic	acoustic	ADJ
fcis-22531	44	27	emission	emission	NOUN
fcis-22531	44	28	normal	normal	ADJ
fcis-22531	44	29	signal	signal	NOUN
fcis-22531	44	30	and	and	CCONJ
fcis-22531	44	31	precursor	precursor	NOUN
fcis-22531	44	32	characteristic	characteristic	ADJ
fcis-22531	44	33	signal	signal	NOUN
fcis-22531	44	34	fig	fig	NOUN
fcis-22531	44	35	6	6	NUM
fcis-22531	44	36	.	.	PUNCT
fcis-22531	44	37	autocorrelation	autocorrelation	NOUN
fcis-22531	44	38	function	function	NOUN
fcis-22531	44	39	diagram	diagram	NOUN
fcis-22531	44	40	of	of	ADP
fcis-22531	44	41	normal	normal	ADJ
fcis-22531	44	42	signal	signal	NOUN
fcis-22531	44	43	and	and	CCONJ
fcis-22531	44	44	precursory	precursory	ADJ
fcis-22531	44	45	characteristic	characteristic	ADJ
fcis-22531	44	46	signal	signal	NOUN
fcis-22531	44	47	of	of	ADP
fcis-22531	44	48	electromagnetic	electromagnetic	ADJ
fcis-22531	44	49	radiation	radiation	NOUN
fcis-22531	44	50	then	then	ADV
fcis-22531	44	51	,	,	PUNCT
fcis-22531	44	52	we	we	PRON
fcis-22531	44	53	visualized	visualize	VERB
fcis-22531	44	54	the	the	DET
fcis-22531	44	55	autocorrelation	autocorrelation	NOUN
fcis-22531	44	56	function	function	NOUN
fcis-22531	44	57	of	of	ADP
fcis-22531	44	58	the	the	DET
fcis-22531	44	59	normal	normal	ADJ
fcis-22531	44	60	signal	signal	NOUN
fcis-22531	44	61	and	and	CCONJ
fcis-22531	44	62	precursor	precursor	NOUN
fcis-22531	44	63	signal	signal	NOUN
fcis-22531	44	64	distinguished	distinguish	VERB
fcis-22531	44	65	after	after	ADP
fcis-22531	44	66	ks	ks	NOUN
fcis-22531	44	67	test	test	NOUN
fcis-22531	44	68	,	,	PUNCT
fcis-22531	44	69	and	and	CCONJ
fcis-22531	44	70	the	the	DET
fcis-22531	44	71	results	result	NOUN
fcis-22531	44	72	were	be	AUX
fcis-22531	44	73	shown	show	VERB
fcis-22531	44	74	in	in	ADP
fcis-22531	44	75	fig	fig	NOUN
fcis-22531	44	76	.	.	PUNCT
fcis-22531	45	1	5	5	NUM
fcis-22531	45	2	and	and	CCONJ
fcis-22531	45	3	fig	fig	NOUN
fcis-22531	45	4	.	.	PUNCT
fcis-22531	46	1	6	6	X
fcis-22531	46	2	.	.	X
fcis-22531	46	3	we	we	PRON
fcis-22531	46	4	find	find	VERB
fcis-22531	46	5	that	that	SCONJ
fcis-22531	46	6	the	the	DET
fcis-22531	46	7	precursory	precursory	NOUN
fcis-22531	46	8	feature	feature	NOUN
fcis-22531	46	9	signal	signal	NOUN
fcis-22531	46	10	is	be	AUX
fcis-22531	46	11	like	like	ADP
fcis-22531	46	12	the	the	DET
fcis-22531	46	13	normal	normal	ADJ
fcis-22531	46	14	signal	signal	NOUN
fcis-22531	46	15	,	,	PUNCT
fcis-22531	46	16	which	which	PRON
fcis-22531	46	17	is	be	AUX
fcis-22531	46	18	not	not	PART
fcis-22531	46	19	conducive	conducive	ADJ
fcis-22531	46	20	to	to	ADP
fcis-22531	46	21	the	the	DET
fcis-22531	46	22	further	further	ADJ
fcis-22531	46	23	prediction	prediction	NOUN
fcis-22531	46	24	as	as	ADP
fcis-22531	46	25	a	a	DET
fcis-22531	46	26	feature	feature	NOUN
fcis-22531	46	27	.	.	PUNCT
fcis-22531	47	1	therefore	therefore	ADV
fcis-22531	47	2	,	,	PUNCT
fcis-22531	47	3	this	this	DET
fcis-22531	47	4	paper	paper	NOUN
fcis-22531	47	5	further	far	ADV
fcis-22531	47	6	tests	test	VERB
fcis-22531	47	7	the	the	DET
fcis-22531	47	8	data	datum	NOUN
fcis-22531	47	9	.	.	PUNCT
fcis-22531	48	1	3.2	3.2	NUM
fcis-22531	48	2	.	.	PUNCT
fcis-22531	48	3	mk	mk	PROPN
fcis-22531	48	4	trend	trend	NOUN
fcis-22531	48	5	test	test	NOUN
fcis-22531	48	6	and	and	CCONJ
fcis-22531	48	7	adf	adf	PROPN
fcis-22531	48	8	stationary	stationary	PROPN
fcis-22531	48	9	series	series	PROPN
fcis-22531	48	10	test	test	VERB
fcis-22531	48	11	the	the	DET
fcis-22531	48	12	machine	machine	NOUN
fcis-22531	48	13	learning	learning	NOUN
fcis-22531	48	14	of	of	ADP
fcis-22531	48	15	random	random	ADJ
fcis-22531	48	16	forest	forest	NOUN
fcis-22531	48	17	needs	need	VERB
fcis-22531	48	18	more	more	ADV
fcis-22531	48	19	significant	significant	ADJ
fcis-22531	48	20	features	feature	NOUN
fcis-22531	48	21	to	to	PART
fcis-22531	48	22	predict	predict	VERB
fcis-22531	48	23	the	the	DET
fcis-22531	48	24	interval	interval	NOUN
fcis-22531	48	25	of	of	ADP
fcis-22531	48	26	the	the	DET
fcis-22531	48	27	next	next	ADJ
fcis-22531	48	28	precursor	precursor	NOUN
fcis-22531	48	29	signal	signal	NOUN
fcis-22531	48	30	more	more	ADV
fcis-22531	48	31	accurately	accurately	ADV
fcis-22531	48	32	,	,	PUNCT
fcis-22531	48	33	so	so	SCONJ
fcis-22531	48	34	this	this	DET
fcis-22531	48	35	paper	paper	NOUN
fcis-22531	48	36	selects	select	VERB
fcis-22531	48	37	mk	mk	NOUN
fcis-22531	48	38	trend	trend	NOUN
fcis-22531	48	39	test	test	NOUN
fcis-22531	48	40	and	and	CCONJ
fcis-22531	48	41	adf	adf	PROPN
fcis-22531	48	42	stationary	stationary	ADJ
fcis-22531	48	43	sequence	sequence	NOUN
fcis-22531	48	44	test	test	NOUN
fcis-22531	48	45	to	to	PART
fcis-22531	48	46	obtain	obtain	VERB
fcis-22531	48	47	features	feature	NOUN
fcis-22531	48	48	.	.	PUNCT
fcis-22531	49	1	the	the	DET
fcis-22531	49	2	mk	mk	PROPN
fcis-22531	49	3	test	test	NOUN
fcis-22531	49	4	is	be	AUX
fcis-22531	49	5	a	a	DET
fcis-22531	49	6	nonparametric	nonparametric	ADJ
fcis-22531	49	7	trend	trend	NOUN
fcis-22531	49	8	test	test	NOUN
fcis-22531	49	9	used	use	VERB
fcis-22531	49	10	to	to	PART
fcis-22531	49	11	analyze	analyze	VERB
fcis-22531	49	12	monotonic	monotonic	ADJ
fcis-22531	49	13	trends	trend	NOUN
fcis-22531	49	14	in	in	ADP
fcis-22531	49	15	a	a	DET
fcis-22531	49	16	data	data	NOUN
fcis-22531	49	17	set	set	VERB
fcis-22531	49	18	.	.	PUNCT
fcis-22531	50	1	it	it	PRON
fcis-22531	50	2	is	be	AUX
fcis-22531	50	3	based	base	VERB
fcis-22531	50	4	on	on	ADP
fcis-22531	50	5	symbolic	symbolic	ADJ
fcis-22531	50	6	comparison	comparison	NOUN
fcis-22531	50	7	of	of	ADP
fcis-22531	50	8	data	datum	NOUN
fcis-22531	50	9	pairs	pair	NOUN
fcis-22531	50	10	.	.	PUNCT
fcis-22531	51	1	set	set	VERB
fcis-22531	51	2	a	a	DET
fcis-22531	51	3	time	time	NOUN
fcis-22531	51	4	series	series	NOUN
fcis-22531	51	5	,	,	PUNCT
fcis-22531	51	6	for	for	ADP
fcis-22531	51	7	any	any	DET
fcis-22531	51	8	(	(	PUNCT
fcis-22531	51	9	i	i	PROPN
fcis-22531	51	10	,	,	PUNCT
fcis-22531	51	11	j	j	PROPN
fcis-22531	51	12	)	)	PUNCT
fcis-22531	51	13	pair	pair	NOUN
fcis-22531	51	14	where	where	SCONJ
fcis-22531	51	15	i	i	PRON
fcis-22531	51	16	<	<	X
fcis-22531	51	17	j	j	PROPN
fcis-22531	51	18	,	,	PUNCT
fcis-22531	51	19	defines	define	VERB
fcis-22531	51	20	as	as	SCONJ
fcis-22531	51	21	follows	follow	VERB
fcis-22531	51	22	.	.	PUNCT
fcis-22531	52	1	(	(	PUNCT
fcis-22531	52	2	1	1	X
fcis-22531	52	3	)	)	PUNCT
fcis-22531	52	4	the	the	DET
fcis-22531	52	5	test	test	NOUN
fcis-22531	52	6	statistic	statistic	NOUN
fcis-22531	52	7	s	s	PART
fcis-22531	52	8	is	be	AUX
fcis-22531	52	9	the	the	DET
fcis-22531	52	10	sum	sum	NOUN
fcis-22531	52	11	of	of	ADP
fcis-22531	52	12	all	all	DET
fcis-22531	52	13	pairs	pair	NOUN
fcis-22531	52	14	.	.	PUNCT
fcis-22531	53	1	(	(	PUNCT
fcis-22531	53	2	2	2	X
fcis-22531	53	3	)	)	PUNCT
fcis-22531	53	4	in	in	ADP
fcis-22531	53	5	the	the	DET
fcis-22531	53	6	absence	absence	NOUN
fcis-22531	53	7	of	of	ADP
fcis-22531	53	8	equivalent	equivalent	ADJ
fcis-22531	53	9	values	value	NOUN
fcis-22531	53	10	,	,	PUNCT
fcis-22531	53	11	the	the	DET
fcis-22531	53	12	standard	standard	ADJ
fcis-22531	53	13	normal	normal	ADJ
fcis-22531	53	14	variable	variable	NOUN
fcis-22531	53	15	z	z	NOUN
fcis-22531	53	16	is	be	AUX
fcis-22531	53	17	used	use	VERB
fcis-22531	53	18	to	to	PART
fcis-22531	53	19	test	test	VERB
fcis-22531	53	20	.	.	PUNCT
fcis-22531	54	1	(	(	PUNCT
fcis-22531	54	2	3	3	X
fcis-22531	54	3	)	)	PUNCT
fcis-22531	54	4	the	the	DET
fcis-22531	54	5	calculation	calculation	NOUN
fcis-22531	54	6	formula	formula	NOUN
fcis-22531	54	7	of	of	ADP
fcis-22531	54	8	var(s	var(s	NOUN
fcis-22531	54	9	)	)	PUNCT
fcis-22531	54	10	is	be	AUX
fcis-22531	54	11	as	as	SCONJ
fcis-22531	54	12	follows	follow	VERB
fcis-22531	54	13	.	.	PUNCT
fcis-22531	55	1	(	(	PUNCT
fcis-22531	55	2	4	4	X
fcis-22531	55	3	)	)	PUNCT
fcis-22531	55	4	the	the	DET
fcis-22531	55	5	adf	adf	PROPN
fcis-22531	55	6	test	test	NOUN
fcis-22531	55	7	is	be	AUX
fcis-22531	55	8	used	use	VERB
fcis-22531	55	9	to	to	PART
fcis-22531	55	10	detect	detect	VERB
fcis-22531	55	11	the	the	DET
fcis-22531	55	12	unit	unit	NOUN
fcis-22531	55	13	root	root	NOUN
fcis-22531	55	14	in	in	ADP
fcis-22531	55	15	the	the	DET
fcis-22531	55	16	time	time	NOUN
fcis-22531	55	17	series	series	NOUN
fcis-22531	55	18	to	to	PART
fcis-22531	55	19	determine	determine	VERB
fcis-22531	55	20	whether	whether	SCONJ
fcis-22531	55	21	the	the	DET
fcis-22531	55	22	series	series	NOUN
fcis-22531	55	23	is	be	AUX
fcis-22531	55	24	non	non	ADJ
fcis-22531	55	25	-	-	ADJ
fcis-22531	55	26	stationary	stationary	ADJ
fcis-22531	55	27	.	.	PUNCT
fcis-22531	56	1	the	the	DET
fcis-22531	56	2	basic	basic	ADJ
fcis-22531	56	3	model	model	NOUN
fcis-22531	56	4	for	for	ADP
fcis-22531	56	5	testing	testing	NOUN
fcis-22531	56	6	is	be	AUX
fcis-22531	56	7	an	an	DET
fcis-22531	56	8	autoregressive	autoregressive	ADJ
fcis-22531	56	9	model	model	NOUN
fcis-22531	56	10	(	(	PUNCT
fcis-22531	56	11	ar	ar	NOUN
fcis-22531	56	12	model	model	NOUN
fcis-22531	56	13	)	)	PUNCT
fcis-22531	56	14	.	.	PUNCT
fcis-22531	57	1	(	(	PUNCT
fcis-22531	57	2	5	5	X
fcis-22531	57	3	)	)	PUNCT
fcis-22531	57	4	where	where	SCONJ
fcis-22531	57	5	is	be	AUX
fcis-22531	57	6	the	the	DET
fcis-22531	57	7	time	time	NOUN
fcis-22531	57	8	series	series	NOUN
fcis-22531	57	9	and	and	CCONJ
fcis-22531	57	10	δ	δ	PROPN
fcis-22531	57	11	=	=	PUNCT
fcis-22531	57	12	is	be	AUX
fcis-22531	57	13	the	the	DET
fcis-22531	57	14	first	first	ADJ
fcis-22531	57	15	difference	difference	NOUN
fcis-22531	57	16	of	of	ADP
fcis-22531	57	17	the	the	DET
fcis-22531	57	18	series	series	NOUN
fcis-22531	57	19	.	.	PUNCT
fcis-22531	58	1	is	be	AUX
fcis-22531	58	2	the	the	DET
fcis-22531	58	3	constant	constant	ADJ
fcis-22531	58	4	term	term	NOUN
fcis-22531	58	5	and	and	CCONJ
fcis-22531	58	6	is	be	AUX
fcis-22531	58	7	the	the	DET
fcis-22531	58	8	time	time	NOUN
fcis-22531	58	9	trend	trend	NOUN
fcis-22531	58	10	term	term	NOUN
fcis-22531	58	11	.	.	PUNCT
fcis-22531	59	1	tests	test	VERB
fcis-22531	59	2	the	the	DET
fcis-22531	59	3	coefficient	coefficient	NOUN
fcis-22531	59	4	of	of	ADP
fcis-22531	59	5	the	the	DET
fcis-22531	59	6	unit	unit	NOUN
fcis-22531	59	7	root	root	NOUN
fcis-22531	59	8	,	,	PUNCT
fcis-22531	59	9	if	if	SCONJ
fcis-22531	59	10	=	=	NOUN
fcis-22531	59	11	0	0	X
fcis-22531	59	12	then	then	ADV
fcis-22531	59	13	there	there	PRON
fcis-22531	59	14	is	be	VERB
fcis-22531	59	15	a	a	DET
fcis-22531	59	16	unit	unit	NOUN
fcis-22531	59	17	root	root	NOUN
fcis-22531	59	18	,	,	PUNCT
fcis-22531	59	19	indicating	indicate	VERB
fcis-22531	59	20	that	that	SCONJ
fcis-22531	59	21	the	the	DET
fcis-22531	59	22	sequence	sequence	NOUN
fcis-22531	59	23	is	be	AUX
fcis-22531	59	24	non	non	ADJ
fcis-22531	59	25	-	-	ADJ
fcis-22531	59	26	stationary	stationary	ADJ
fcis-22531	59	27	.	.	PUNCT
fcis-22531	60	1	is	be	AUX
fcis-22531	60	2	the	the	DET
fcis-22531	60	3	coefficient	coefficient	NOUN
fcis-22531	60	4	of	of	ADP
fcis-22531	60	5	the	the	DET
fcis-22531	60	6	difference	difference	NOUN
fcis-22531	60	7	term	term	NOUN
fcis-22531	60	8	,	,	PUNCT
fcis-22531	60	9	and	and	CCONJ
fcis-22531	60	10	is	be	AUX
fcis-22531	60	11	the	the	DET
fcis-22531	60	12	error	error	NOUN
fcis-22531	60	13	term	term	NOUN
fcis-22531	60	14	.	.	PUNCT
fcis-22531	61	1	the	the	DET
fcis-22531	61	2	article	article	NOUN
fcis-22531	61	3	creates	create	VERB
fcis-22531	61	4	a	a	DET
fcis-22531	61	5	function	function	NOUN
fcis-22531	61	6	and	and	CCONJ
fcis-22531	61	7	defines	define	VERB
fcis-22531	61	8	a	a	DET
fcis-22531	61	9	constant	constant	ADJ
fcis-22531	61	10	time	time	NOUN
fcis-22531	61	11	interval	interval	NOUN
fcis-22531	61	12	of	of	ADP
fcis-22531	61	13	2	2	NUM
fcis-22531	61	14	minutes	minute	NOUN
fcis-22531	61	15	for	for	ADP
fcis-22531	61	16	the	the	DET
fcis-22531	61	17	time	time	NOUN
fcis-22531	61	18	series	series	NOUN
fcis-22531	61	19	of	of	ADP
fcis-22531	61	20	our	our	PRON
fcis-22531	61	21	data	datum	NOUN
fcis-22531	61	22	to	to	PART
fcis-22531	61	23	perform	perform	VERB
fcis-22531	61	24	adf	adf	PROPN
fcis-22531	61	25	(	(	PUNCT
fcis-22531	61	26	augmented	augment	VERB
fcis-22531	61	27	dickey	dickey	NOUN
fcis-22531	61	28	-	-	PUNCT
fcis-22531	61	29	fuller	fuller	NOUN
fcis-22531	61	30	)	)	PUNCT
fcis-22531	61	31	and	and	CCONJ
fcis-22531	61	32	mk	mk	PROPN
fcis-22531	61	33	(	(	PUNCT
fcis-22531	61	34	mann	mann	PROPN
fcis-22531	61	35	-	-	PUNCT
fcis-22531	61	36	kendall	kendall	PROPN
fcis-22531	61	37	)	)	PUNCT
fcis-22531	61	38	tests	test	NOUN
fcis-22531	61	39	.	.	PUNCT
fcis-22531	62	1	after	after	ADP
fcis-22531	62	2	the	the	DET
fcis-22531	62	3	tests	test	NOUN
fcis-22531	62	4	,	,	PUNCT
fcis-22531	62	5	corresponding	correspond	VERB
fcis-22531	62	6	p	p	NOUN
fcis-22531	62	7	-	-	PUNCT
fcis-22531	62	8	values	value	NOUN
fcis-22531	62	9	are	be	AUX
fcis-22531	62	10	obtained	obtain	VERB
fcis-22531	62	11	,	,	PUNCT
fcis-22531	62	12	which	which	PRON
fcis-22531	62	13	are	be	AUX
fcis-22531	62	14	used	use	VERB
fcis-22531	62	15	to	to	PART
fcis-22531	62	16	measure	measure	VERB
fcis-22531	62	17	the	the	DET
fcis-22531	62	18	probability	probability	NOUN
fcis-22531	62	19	of	of	ADP
fcis-22531	62	20	observing	observe	VERB
fcis-22531	62	21	the	the	DET
fcis-22531	62	22	data	datum	NOUN
fcis-22531	62	23	or	or	CCONJ
fcis-22531	62	24	more	more	ADV
fcis-22531	62	25	extreme	extreme	ADJ
fcis-22531	62	26	data	datum	NOUN
fcis-22531	62	27	under	under	ADP
fcis-22531	62	28	the	the	DET
fcis-22531	62	29	null	null	ADJ
fcis-22531	62	30	hypothesis	hypothesis	NOUN
fcis-22531	62	31	being	be	AUX
fcis-22531	62	32	true	true	ADJ
fcis-22531	62	33	.	.	PUNCT
fcis-22531	63	1	the	the	DET
fcis-22531	63	2	p	p	NOUN
fcis-22531	63	3	-	-	PUNCT
fcis-22531	63	4	values	value	NOUN
fcis-22531	63	5	are	be	AUX
fcis-22531	63	6	recorded	record	VERB
fcis-22531	63	7	,	,	PUNCT
fcis-22531	63	8	and	and	CCONJ
fcis-22531	63	9	their	their	PRON
fcis-22531	63	10	dynamic	dynamic	ADJ
fcis-22531	63	11	changes	change	NOUN
fcis-22531	63	12	are	be	AUX
fcis-22531	63	13	analyzed	analyze	VERB
fcis-22531	63	14	.	.	PUNCT
fcis-22531	64	1	it	it	PRON
fcis-22531	64	2	is	be	AUX
fcis-22531	64	3	found	find	VERB
fcis-22531	64	4	that	that	SCONJ
fcis-22531	64	5	when	when	SCONJ
fcis-22531	64	6	precursor	precursor	NOUN
fcis-22531	64	7	features	feature	NOUN
fcis-22531	64	8	of	of	ADP
fcis-22531	64	9	the	the	DET
fcis-22531	64	10	data	datum	NOUN
fcis-22531	64	11	appear	appear	VERB
fcis-22531	64	12	,	,	PUNCT
fcis-22531	64	13	the	the	DET
fcis-22531	64	14	p	p	NOUN
fcis-22531	64	15	-	-	PUNCT
fcis-22531	64	16	values	value	NOUN
fcis-22531	64	17	exhibit	exhibit	VERB
fcis-22531	64	18	a	a	DET
fcis-22531	64	19	specific	specific	ADJ
fcis-22531	64	20	trend	trend	NOUN
fcis-22531	64	21	.	.	PUNCT
fcis-22531	65	1	this	this	DET
fcis-22531	65	2	trend	trend	NOUN
fcis-22531	65	3	is	be	AUX
fcis-22531	65	4	similar	similar	ADJ
fcis-22531	65	5	to	to	ADP
fcis-22531	65	6	the	the	DET
fcis-22531	65	7	described	describe	VERB
fcis-22531	65	8	trend	trend	NOUN
fcis-22531	65	9	in	in	ADP
fcis-22531	65	10	the	the	DET
fcis-22531	65	11	question	question	NOUN
fcis-22531	65	12	,	,	PUNCT
fcis-22531	65	13	which	which	PRON
fcis-22531	65	14	increases	increase	VERB
fcis-22531	65	15	cyclically	cyclically	ADV
fcis-22531	65	16	over	over	ADP
fcis-22531	65	17	time	time	NOUN
fcis-22531	65	18	.	.	PUNCT
fcis-22531	66	1	therefore	therefore	ADV
fcis-22531	66	2	,	,	PUNCT
fcis-22531	66	3	the	the	DET
fcis-22531	66	4	article	article	NOUN
fcis-22531	66	5	also	also	ADV
fcis-22531	66	6	defines	define	VERB
fcis-22531	66	7	this	this	DET
fcis-22531	66	8	trend	trend	NOUN
fcis-22531	66	9	in	in	ADP
fcis-22531	66	10	p	p	NOUN
fcis-22531	66	11	-	-	PUNCT
fcis-22531	66	12	values	value	NOUN
fcis-22531	66	13	as	as	ADP
fcis-22531	66	14	a	a	DET
fcis-22531	66	15	characteristic	characteristic	NOUN
fcis-22531	66	16	.	.	PUNCT
fcis-22531	67	1	4	4	NUM
fcis-22531	67	2	3.3	3.3	NUM
fcis-22531	67	3	.	.	PUNCT
fcis-22531	68	1	random	random	ADJ
fcis-22531	68	2	forest	forest	NOUN
fcis-22531	68	3	through	through	ADP
fcis-22531	68	4	ks	ks	PROPN
fcis-22531	68	5	test	test	NOUN
fcis-22531	68	6	,	,	PUNCT
fcis-22531	68	7	mk	mk	NOUN
fcis-22531	68	8	trend	trend	NOUN
fcis-22531	68	9	test	test	NOUN
fcis-22531	68	10	and	and	CCONJ
fcis-22531	68	11	adf	adf	PROPN
fcis-22531	68	12	stationary	stationary	PROPN
fcis-22531	68	13	series	series	PROPN
fcis-22531	68	14	test	test	NOUN
fcis-22531	68	15	,	,	PUNCT
fcis-22531	68	16	this	this	DET
fcis-22531	68	17	paper	paper	NOUN
fcis-22531	68	18	obtained	obtain	VERB
fcis-22531	68	19	many	many	ADJ
fcis-22531	68	20	characteristics	characteristic	NOUN
fcis-22531	68	21	of	of	ADP
fcis-22531	68	22	precursor	precursor	NOUN
fcis-22531	68	23	signals	signal	NOUN
fcis-22531	68	24	,	,	PUNCT
fcis-22531	68	25	including	include	VERB
fcis-22531	68	26	the	the	DET
fcis-22531	68	27	eigenvalues	eigenvalue	NOUN
fcis-22531	68	28	in	in	ADP
fcis-22531	68	29	the	the	DET
fcis-22531	68	30	table	table	NOUN
fcis-22531	68	31	obtained	obtain	VERB
fcis-22531	68	32	in	in	ADP
fcis-22531	68	33	the	the	DET
fcis-22531	68	34	above	above	ADJ
fcis-22531	68	35	ks	ks	NOUN
fcis-22531	68	36	test	test	NOUN
fcis-22531	68	37	,	,	PUNCT
fcis-22531	68	38	including	include	VERB
fcis-22531	68	39	large	large	ADJ
fcis-22531	68	40	mean	mean	ADJ
fcis-22531	68	41	and	and	CCONJ
fcis-22531	68	42	standard	standard	ADJ
fcis-22531	68	43	deviation	deviation	NOUN
fcis-22531	68	44	,	,	PUNCT
fcis-22531	68	45	as	as	ADV
fcis-22531	68	46	well	well	ADV
fcis-22531	68	47	as	as	ADP
fcis-22531	68	48	the	the	DET
fcis-22531	68	49	p	p	NOUN
fcis-22531	68	50	-	-	PUNCT
fcis-22531	68	51	value	value	NOUN
fcis-22531	68	52	trend	trend	NOUN
fcis-22531	68	53	characteristics	characteristic	NOUN
fcis-22531	68	54	of	of	ADP
fcis-22531	68	55	adf	adf	PROPN
fcis-22531	68	56	test	test	NOUN
fcis-22531	68	57	and	and	CCONJ
fcis-22531	68	58	mk	mk	PROPN
fcis-22531	68	59	test	test	NOUN
fcis-22531	68	60	.	.	PUNCT
fcis-22531	69	1	then	then	ADV
fcis-22531	69	2	,	,	PUNCT
fcis-22531	69	3	by	by	ADP
fcis-22531	69	4	means	mean	NOUN
fcis-22531	69	5	of	of	ADP
fcis-22531	69	6	random	random	ADJ
fcis-22531	69	7	forest	forest	NOUN
fcis-22531	69	8	,	,	PUNCT
fcis-22531	69	9	this	this	DET
fcis-22531	69	10	paper	paper	NOUN
fcis-22531	69	11	trains	train	VERB
fcis-22531	69	12	the	the	DET
fcis-22531	69	13	model	model	NOUN
fcis-22531	69	14	with	with	ADP
fcis-22531	69	15	the	the	DET
fcis-22531	69	16	above	above	ADJ
fcis-22531	69	17	features	feature	NOUN
fcis-22531	69	18	to	to	PART
fcis-22531	69	19	predict	predict	VERB
fcis-22531	69	20	the	the	DET
fcis-22531	69	21	occurrence	occurrence	NOUN
fcis-22531	69	22	time	time	NOUN
fcis-22531	69	23	of	of	ADP
fcis-22531	69	24	precursor	precursor	NOUN
fcis-22531	69	25	signals	signal	NOUN
fcis-22531	69	26	.	.	PUNCT
fcis-22531	70	1	finally	finally	ADV
fcis-22531	70	2	,	,	PUNCT
fcis-22531	70	3	the	the	DET
fcis-22531	70	4	precursory	precursory	ADJ
fcis-22531	70	5	characteristic	characteristic	ADJ
fcis-22531	70	6	signal	signal	NOUN
fcis-22531	70	7	time	time	NOUN
fcis-22531	70	8	interval	interval	NOUN
fcis-22531	70	9	of	of	ADP
fcis-22531	70	10	electromagnetic	electromagnetic	ADJ
fcis-22531	70	11	radiation	radiation	NOUN
fcis-22531	70	12	and	and	CCONJ
fcis-22531	70	13	the	the	DET
fcis-22531	70	14	precursory	precursory	ADJ
fcis-22531	70	15	characteristic	characteristic	ADJ
fcis-22531	70	16	signal	signal	NOUN
fcis-22531	70	17	interval	interval	NOUN
fcis-22531	70	18	of	of	ADP
fcis-22531	70	19	acoustic	acoustic	ADJ
fcis-22531	70	20	emission	emission	NOUN
fcis-22531	70	21	are	be	AUX
fcis-22531	70	22	obtained	obtain	VERB
fcis-22531	70	23	by	by	ADP
fcis-22531	70	24	the	the	DET
fcis-22531	70	25	model	model	NOUN
fcis-22531	70	26	.	.	PUNCT
fcis-22531	71	1	fig	fig	PROPN
fcis-22531	71	2	7	7	NUM
fcis-22531	71	3	.	.	PUNCT
fcis-22531	71	4	random	random	ADJ
fcis-22531	71	5	forest	forest	NOUN
fcis-22531	71	6	specific	specific	ADJ
fcis-22531	71	7	flow	flow	NOUN
fcis-22531	71	8	chart	chart	NOUN
fcis-22531	71	9	random	random	ADJ
fcis-22531	71	10	forest	forest	NOUN
fcis-22531	71	11	is	be	AUX
fcis-22531	71	12	the	the	DET
fcis-22531	71	13	combination	combination	NOUN
fcis-22531	71	14	of	of	ADP
fcis-22531	71	15	multiple	multiple	ADJ
fcis-22531	71	16	decision	decision	NOUN
fcis-22531	71	17	trees	tree	NOUN
fcis-22531	71	18	,	,	PUNCT
fcis-22531	71	19	each	each	DET
fcis-22531	71	20	data	datum	NOUN
fcis-22531	71	21	set	set	VERB
fcis-22531	71	22	is	be	AUX
fcis-22531	71	23	randomly	randomly	ADV
fcis-22531	71	24	selected	select	VERB
fcis-22531	71	25	,	,	PUNCT
fcis-22531	71	26	and	and	CCONJ
fcis-22531	71	27	some	some	DET
fcis-22531	71	28	features	feature	NOUN
fcis-22531	71	29	are	be	AUX
fcis-22531	71	30	randomly	randomly	ADV
fcis-22531	71	31	selected	select	VERB
fcis-22531	71	32	as	as	ADP
fcis-22531	71	33	input	input	NOUN
fcis-22531	71	34	.	.	PUNCT
fcis-22531	72	1	the	the	DET
fcis-22531	72	2	specific	specific	ADJ
fcis-22531	72	3	flow	flow	NOUN
fcis-22531	72	4	chart	chart	NOUN
fcis-22531	72	5	of	of	ADP
fcis-22531	72	6	random	random	ADJ
fcis-22531	72	7	forest	forest	NOUN
fcis-22531	72	8	is	be	AUX
fcis-22531	72	9	shown	show	VERB
fcis-22531	72	10	in	in	ADP
fcis-22531	72	11	fig	fig	NOUN
fcis-22531	72	12	.	.	PUNCT
fcis-22531	73	1	7	7	X
fcis-22531	73	2	.	.	X
fcis-22531	73	3	in	in	ADP
fcis-22531	73	4	this	this	DET
fcis-22531	73	5	paper	paper	NOUN
fcis-22531	73	6	,	,	PUNCT
fcis-22531	73	7	the	the	DET
fcis-22531	73	8	data	data	NOUN
fcis-22531	73	9	is	be	AUX
fcis-22531	73	10	divided	divide	VERB
fcis-22531	73	11	into	into	ADP
fcis-22531	73	12	training	training	NOUN
fcis-22531	73	13	set	set	NOUN
fcis-22531	73	14	and	and	CCONJ
fcis-22531	73	15	test	test	NOUN
fcis-22531	73	16	set	set	VERB
fcis-22531	73	17	by	by	ADP
fcis-22531	73	18	means	mean	NOUN
fcis-22531	73	19	of	of	ADP
fcis-22531	73	20	random	random	ADJ
fcis-22531	73	21	forest	forest	NOUN
fcis-22531	73	22	,	,	PUNCT
fcis-22531	73	23	and	and	CCONJ
fcis-22531	73	24	the	the	DET
fcis-22531	73	25	feature	feature	NOUN
fcis-22531	73	26	scaling	scale	VERB
fcis-22531	73	27	and	and	CCONJ
fcis-22531	73	28	feature	feature	NOUN
fcis-22531	73	29	engineering	engineering	NOUN
fcis-22531	73	30	processing	processing	NOUN
fcis-22531	73	31	are	be	AUX
fcis-22531	73	32	carried	carry	VERB
fcis-22531	73	33	out	out	ADP
fcis-22531	73	34	to	to	PART
fcis-22531	73	35	train	train	VERB
fcis-22531	73	36	the	the	DET
fcis-22531	73	37	model	model	NOUN
fcis-22531	73	38	and	and	CCONJ
fcis-22531	73	39	get	get	VERB
fcis-22531	73	40	the	the	DET
fcis-22531	73	41	prediction	prediction	NOUN
fcis-22531	73	42	result	result	NOUN
fcis-22531	73	43	.	.	PUNCT
fcis-22531	74	1	the	the	DET
fcis-22531	74	2	electromagnetic	electromagnetic	ADJ
fcis-22531	74	3	radiation	radiation	NOUN
fcis-22531	74	4	interference	interference	NOUN
fcis-22531	74	5	signal	signal	NOUN
fcis-22531	74	6	time	time	NOUN
fcis-22531	74	7	interval	interval	NOUN
fcis-22531	74	8	and	and	CCONJ
fcis-22531	74	9	acoustic	acoustic	ADJ
fcis-22531	74	10	emission	emission	NOUN
fcis-22531	74	11	interference	interference	NOUN
fcis-22531	74	12	signal	signal	NOUN
fcis-22531	74	13	interval	interval	NOUN
fcis-22531	74	14	obtained	obtain	VERB
fcis-22531	74	15	by	by	ADP
fcis-22531	74	16	this	this	DET
fcis-22531	74	17	model	model	NOUN
fcis-22531	74	18	are	be	AUX
fcis-22531	74	19	shown	show	VERB
fcis-22531	74	20	in	in	ADP
fcis-22531	74	21	table	table	NOUN
fcis-22531	74	22	2	2	NUM
fcis-22531	74	23	and	and	CCONJ
fcis-22531	74	24	table	table	NOUN
fcis-22531	74	25	3	3	NUM
fcis-22531	74	26	.	.	PUNCT
fcis-22531	74	27	table	table	NOUN
fcis-22531	74	28	2	2	NUM
fcis-22531	74	29	.	.	NOUN
fcis-22531	74	30	time	time	NOUN
fcis-22531	74	31	interval	interval	NOUN
fcis-22531	74	32	of	of	ADP
fcis-22531	74	33	electromagnetic	electromagnetic	ADJ
fcis-22531	74	34	radiation	radiation	NOUN
fcis-22531	74	35	interference	interference	NOUN
fcis-22531	74	36	signal	signal	NOUN
fcis-22531	74	37	number	number	NOUN
fcis-22531	74	38	start	start	NOUN
fcis-22531	74	39	of	of	ADP
fcis-22531	74	40	time	time	NOUN
fcis-22531	74	41	interval	interval	NOUN
fcis-22531	74	42	end	end	NOUN
fcis-22531	74	43	of	of	ADP
fcis-22531	74	44	time	time	NOUN
fcis-22531	74	45	interval	interval	NOUN
fcis-22531	74	46	1	1	NUM
fcis-22531	74	47	2022/05/01	2022/05/01	NUM
fcis-22531	74	48	00:00:00	00:00:00	NUM
fcis-22531	74	49	2022/05/14	2022/05/14	NUM
fcis-22531	74	50	15:10:30	15:10:30	NUM
fcis-22531	74	51	2	2	NUM
fcis-22531	74	52	2022/05/14	2022/05/14	NUM
fcis-22531	74	53	15:16:15	15:16:15	NUM
fcis-22531	74	54	2022/05/14	2022/05/14	NUM
fcis-22531	74	55	15:58:22	15:58:22	NUM
fcis-22531	74	56	3	3	NUM
fcis-22531	74	57	2022/05/14	2022/05/14	NUM
fcis-22531	74	58	16:18:48	16:18:48	NUM
fcis-22531	74	59	2022/05/14	2022/05/14	NUM
fcis-22531	74	60	17:39:34	17:39:34	NUM
fcis-22531	74	61	4	4	NUM
fcis-22531	74	62	2022/05/14	2022/05/14	NUM
fcis-22531	74	63	17:41:23	17:41:23	NUM
fcis-22531	74	64	2022/05/14	2022/05/14	NUM
fcis-22531	74	65	18:15:13	18:15:13	NUM
fcis-22531	74	66	5	5	NUM
fcis-22531	74	67	2022/05/14	2022/05/14	NUM
fcis-22531	74	68	18:18:14	18:18:14	NUM
fcis-22531	74	69	2022/05/14	2022/05/14	NUM
fcis-22531	74	70	19:10:02	19:10:02	NUM
fcis-22531	74	71	table	table	NOUN
fcis-22531	74	72	3	3	NUM
fcis-22531	74	73	.	.	NOUN
fcis-22531	74	74	time	time	NOUN
fcis-22531	74	75	interval	interval	NOUN
fcis-22531	74	76	of	of	ADP
fcis-22531	74	77	acoustic	acoustic	ADJ
fcis-22531	74	78	emission	emission	NOUN
fcis-22531	74	79	interference	interference	NOUN
fcis-22531	74	80	signal	signal	NOUN
fcis-22531	74	81	number	number	NOUN
fcis-22531	74	82	start	start	NOUN
fcis-22531	74	83	of	of	ADP
fcis-22531	74	84	time	time	NOUN
fcis-22531	74	85	interval	interval	NOUN
fcis-22531	74	86	end	end	NOUN
fcis-22531	74	87	of	of	ADP
fcis-22531	74	88	time	time	NOUN
fcis-22531	74	89	interval	interval	NOUN
fcis-22531	74	90	1	1	NUM
fcis-22531	74	91	2022/10/10	2022/10/10	NUM
fcis-22531	74	92	00:00:00	00:00:00	NUM
fcis-22531	74	93	2022/10/16	2022/10/16	NUM
fcis-22531	74	94	01:32:21	01:32:21	NUM
fcis-22531	74	95	2	2	NUM
fcis-22531	74	96	2022/10/16	2022/10/16	NUM
fcis-22531	74	97	01:32:21	01:32:21	NUM
fcis-22531	74	98	2022/10/16	2022/10/16	NUM
fcis-22531	74	99	01:32:21	01:32:21	NUM
fcis-22531	74	100	3	3	NUM
fcis-22531	74	101	2022/10/25	2022/10/25	NUM
fcis-22531	74	102	14:30:56	14:30:56	NUM
fcis-22531	74	103	2022/10/31	2022/10/31	NUM
fcis-22531	74	104	03:22:59	03:22:59	NUM
fcis-22531	74	105	4	4	NUM
fcis-22531	74	106	2022/10/31	2022/10/31	NUM
fcis-22531	74	107	03:22:59	03:22:59	NUM
fcis-22531	74	108	2022/11/09	2022/11/09	NUM
fcis-22531	74	109	09:58:22	09:58:22	NUM
fcis-22531	74	110	5	5	NUM
fcis-22531	74	111	2022/10/31	2022/10/31	NUM
fcis-22531	74	112	04:53:48	04:53:48	NUM
fcis-22531	74	113	2022/10/31	2022/10/31	NUM
fcis-22531	74	114	05:07:21	05:07:21	NUM
fcis-22531	74	115	4	4	X
fcis-22531	74	116	.	.	PUNCT
fcis-22531	74	117	probabilistic	probabilistic	ADJ
fcis-22531	74	118	prediction	prediction	NOUN
fcis-22531	74	119	we	we	PRON
fcis-22531	74	120	use	use	VERB
fcis-22531	74	121	the	the	DET
fcis-22531	74	122	model	model	NOUN
fcis-22531	74	123	to	to	PART
fcis-22531	74	124	predict	predict	VERB
fcis-22531	74	125	the	the	DET
fcis-22531	74	126	probability	probability	NOUN
fcis-22531	74	127	of	of	ADP
fcis-22531	74	128	precursor	precursor	NOUN
fcis-22531	74	129	feature	feature	NOUN
fcis-22531	74	130	data	datum	NOUN
fcis-22531	74	131	after	after	ADP
fcis-22531	74	132	some	some	DET
fcis-22531	74	133	data	datum	NOUN
fcis-22531	74	134	.	.	PUNCT
fcis-22531	75	1	since	since	SCONJ
fcis-22531	75	2	we	we	PRON
fcis-22531	75	3	do	do	AUX
fcis-22531	75	4	not	not	PART
fcis-22531	75	5	analyze	analyze	VERB
fcis-22531	75	6	all	all	DET
fcis-22531	75	7	the	the	DET
fcis-22531	75	8	data	datum	NOUN
fcis-22531	75	9	,	,	PUNCT
fcis-22531	75	10	but	but	CCONJ
fcis-22531	75	11	the	the	DET
fcis-22531	75	12	data	datum	NOUN
fcis-22531	75	13	before	before	SCONJ
fcis-22531	75	14	the	the	DET
fcis-22531	75	15	precursor	precursor	NOUN
fcis-22531	75	16	signal	signal	NOUN
fcis-22531	75	17	occurs	occur	VERB
fcis-22531	75	18	,	,	PUNCT
fcis-22531	75	19	we	we	PRON
fcis-22531	75	20	no	no	ADV
fcis-22531	75	21	longer	long	ADV
fcis-22531	75	22	use	use	VERB
fcis-22531	75	23	the	the	DET
fcis-22531	75	24	method	method	NOUN
fcis-22531	75	25	of	of	ADP
fcis-22531	75	26	setting	set	VERB
fcis-22531	75	27	threshold	threshold	NOUN
fcis-22531	75	28	and	and	CCONJ
fcis-22531	75	29	ks	ks	NOUN
fcis-22531	75	30	test	test	NOUN
fcis-22531	75	31	,	,	PUNCT
fcis-22531	75	32	but	but	CCONJ
fcis-22531	75	33	directly	directly	ADV
fcis-22531	75	34	use	use	VERB
fcis-22531	75	35	the	the	DET
fcis-22531	75	36	mk	mk	NOUN
fcis-22531	75	37	trend	trend	NOUN
fcis-22531	75	38	test	test	NOUN
fcis-22531	75	39	and	and	CCONJ
fcis-22531	75	40	adf	adf	PROPN
fcis-22531	75	41	stationary	stationary	PROPN
fcis-22531	75	42	series	series	PROPN
fcis-22531	75	43	test	test	NOUN
fcis-22531	75	44	to	to	PART
fcis-22531	75	45	obtain	obtain	VERB
fcis-22531	75	46	the	the	DET
fcis-22531	75	47	characteristics	characteristic	NOUN
fcis-22531	75	48	of	of	ADP
fcis-22531	75	49	their	their	PRON
fcis-22531	75	50	data	datum	NOUN
fcis-22531	75	51	.	.	PUNCT
fcis-22531	76	1	then	then	ADV
fcis-22531	76	2	,	,	PUNCT
fcis-22531	76	3	the	the	DET
fcis-22531	76	4	feature	feature	NOUN
fcis-22531	76	5	is	be	AUX
fcis-22531	76	6	inserted	insert	VERB
fcis-22531	76	7	into	into	ADP
fcis-22531	76	8	the	the	DET
fcis-22531	76	9	perceptron	perceptron	PROPN
fcis-22531	76	10	model	model	NOUN
fcis-22531	76	11	of	of	ADP
fcis-22531	76	12	sigmoid	sigmoid	NOUN
fcis-22531	76	13	activation	activation	NOUN
fcis-22531	76	14	function	function	NOUN
fcis-22531	76	15	,	,	PUNCT
fcis-22531	76	16	and	and	CCONJ
fcis-22531	76	17	the	the	DET
fcis-22531	76	18	possibility	possibility	NOUN
fcis-22531	76	19	of	of	ADP
fcis-22531	76	20	precursor	precursor	NOUN
fcis-22531	76	21	data	datum	NOUN
fcis-22531	76	22	after	after	ADP
fcis-22531	76	23	output	output	NOUN
fcis-22531	76	24	a	a	DET
fcis-22531	76	25	certain	certain	ADJ
fcis-22531	76	26	data	datum	NOUN
fcis-22531	76	27	.	.	PUNCT
fcis-22531	77	1	the	the	DET
fcis-22531	77	2	sigmoid	sigmoid	NOUN
fcis-22531	77	3	activation	activation	NOUN
fcis-22531	77	4	function	function	NOUN
fcis-22531	77	5	is	be	AUX
fcis-22531	77	6	an	an	DET
fcis-22531	77	7	activation	activation	NOUN
fcis-22531	77	8	function	function	NOUN
fcis-22531	77	9	commonly	commonly	ADV
fcis-22531	77	10	used	use	VERB
fcis-22531	77	11	in	in	ADP
fcis-22531	77	12	neural	neural	ADJ
fcis-22531	77	13	networks	network	NOUN
fcis-22531	77	14	to	to	PART
fcis-22531	77	15	map	map	VERB
fcis-22531	77	16	the	the	DET
fcis-22531	77	17	input	input	NOUN
fcis-22531	77	18	of	of	ADP
fcis-22531	77	19	a	a	DET
fcis-22531	77	20	neuron	neuron	NOUN
fcis-22531	77	21	to	to	ADP
fcis-22531	77	22	the	the	DET
fcis-22531	77	23	output	output	NOUN
fcis-22531	77	24	between	between	ADP
fcis-22531	77	25	0	0	NUM
fcis-22531	77	26	and	and	CCONJ
fcis-22531	77	27	1	1	NUM
fcis-22531	77	28	.	.	PUNCT
fcis-22531	78	1	this	this	DET
fcis-22531	78	2	property	property	NOUN
fcis-22531	78	3	makes	make	VERB
fcis-22531	78	4	the	the	DET
fcis-22531	78	5	sigmoid	sigmoid	NOUN
fcis-22531	78	6	function	function	VERB
fcis-22531	78	7	particularly	particularly	ADV
fcis-22531	78	8	suitable	suitable	ADJ
fcis-22531	78	9	for	for	ADP
fcis-22531	78	10	interpreting	interpret	VERB
fcis-22531	78	11	the	the	DET
fcis-22531	78	12	output	output	NOUN
fcis-22531	78	13	as	as	ADP
fcis-22531	78	14	probability	probability	NOUN
fcis-22531	78	15	,	,	PUNCT
fcis-22531	78	16	especially	especially	ADV
fcis-22531	78	17	in	in	ADP
fcis-22531	78	18	binary	binary	ADJ
fcis-22531	78	19	classification	classification	NOUN
fcis-22531	78	20	problems	problem	NOUN
fcis-22531	78	21	.	.	PUNCT
fcis-22531	79	1	therefore	therefore	ADV
fcis-22531	79	2	,	,	PUNCT
fcis-22531	79	3	for	for	ADP
fcis-22531	79	4	problem	problem	NOUN
fcis-22531	79	5	3	3	NUM
fcis-22531	79	6	,	,	PUNCT
fcis-22531	79	7	this	this	DET
fcis-22531	79	8	paper	paper	NOUN
fcis-22531	79	9	selects	select	VERB
fcis-22531	79	10	a	a	DET
fcis-22531	79	11	perceptron	perceptron	PROPN
fcis-22531	79	12	model	model	NOUN
fcis-22531	79	13	using	use	VERB
fcis-22531	79	14	sigmoid	sigmoid	NOUN
fcis-22531	79	15	activation	activation	NOUN
fcis-22531	79	16	function	function	NOUN
fcis-22531	79	17	,	,	PUNCT
fcis-22531	79	18	and	and	CCONJ
fcis-22531	79	19	calculates	calculate	VERB
fcis-22531	79	20	the	the	DET
fcis-22531	79	21	occurrence	occurrence	NOUN
fcis-22531	79	22	probability	probability	NOUN
fcis-22531	79	23	of	of	ADP
fcis-22531	79	24	precursor	precursor	NOUN
fcis-22531	79	25	feature	feature	NOUN
fcis-22531	79	26	signals	signal	NOUN
fcis-22531	79	27	at	at	ADP
fcis-22531	79	28	the	the	DET
fcis-22531	79	29	last	last	ADJ
fcis-22531	79	30	moment	moment	NOUN
fcis-22531	79	31	of	of	ADP
fcis-22531	79	32	a	a	DET
fcis-22531	79	33	certain	certain	ADJ
fcis-22531	79	34	time	time	NOUN
fcis-22531	79	35	period	period	NOUN
fcis-22531	79	36	by	by	ADP
fcis-22531	79	37	analyzing	analyze	VERB
fcis-22531	79	38	the	the	DET
fcis-22531	79	39	characteristics	characteristic	NOUN
fcis-22531	79	40	of	of	ADP
fcis-22531	79	41	the	the	DET
fcis-22531	79	42	data	datum	NOUN
fcis-22531	79	43	.	.	PUNCT
fcis-22531	80	1	specifically	specifically	ADV
fcis-22531	80	2	,	,	PUNCT
fcis-22531	80	3	the	the	DET
fcis-22531	80	4	output	output	NOUN
fcis-22531	80	5	of	of	ADP
fcis-22531	80	6	a	a	DET
fcis-22531	80	7	perceptron	perceptron	PROPN
fcis-22531	80	8	model	model	NOUN
fcis-22531	80	9	using	use	VERB
fcis-22531	80	10	the	the	DET
fcis-22531	80	11	sigmoid	sigmoid	NOUN
fcis-22531	80	12	activation	activation	NOUN
fcis-22531	80	13	function	function	NOUN
fcis-22531	80	14	can	can	AUX
fcis-22531	80	15	be	be	AUX
fcis-22531	80	16	expressed	express	VERB
fcis-22531	80	17	as	as	SCONJ
fcis-22531	80	18	follows	follow	VERB
fcis-22531	80	19	.	.	PUNCT
fcis-22531	81	1	(	(	PUNCT
fcis-22531	81	2	6	6	NUM
fcis-22531	81	3	)	)	PUNCT
fcis-22531	81	4	where	where	SCONJ
fcis-22531	81	5	x	x	PRON
fcis-22531	81	6	is	be	AUX
fcis-22531	81	7	the	the	DET
fcis-22531	81	8	input	input	NOUN
fcis-22531	81	9	,	,	PUNCT
fcis-22531	81	10	w	w	PROPN
fcis-22531	81	11	is	be	AUX
fcis-22531	81	12	the	the	DET
fcis-22531	81	13	weight	weight	NOUN
fcis-22531	81	14	,	,	PUNCT
fcis-22531	81	15	and	and	CCONJ
fcis-22531	81	16	b	b	X
fcis-22531	81	17	is	be	AUX
fcis-22531	81	18	the	the	DET
fcis-22531	81	19	bias	bias	NOUN
fcis-22531	81	20	term	term	NOUN
fcis-22531	81	21	.	.	PUNCT
fcis-22531	82	1	the	the	DET
fcis-22531	82	2	output	output	NOUN
fcis-22531	82	3	value	value	NOUN
fcis-22531	82	4	of	of	ADP
fcis-22531	82	5	this	this	DET
fcis-22531	82	6	function	function	NOUN
fcis-22531	82	7	is	be	AUX
fcis-22531	82	8	between	between	ADP
fcis-22531	82	9	0	0	NUM
fcis-22531	82	10	and	and	CCONJ
fcis-22531	82	11	1	1	NUM
fcis-22531	82	12	,	,	PUNCT
fcis-22531	82	13	which	which	PRON
fcis-22531	82	14	can	can	AUX
fcis-22531	82	15	be	be	AUX
fcis-22531	82	16	used	use	VERB
fcis-22531	82	17	to	to	PART
fcis-22531	82	18	represent	represent	VERB
fcis-22531	82	19	the	the	DET
fcis-22531	82	20	probability	probability	NOUN
fcis-22531	82	21	of	of	ADP
fcis-22531	82	22	an	an	DET
fcis-22531	82	23	event	event	NOUN
fcis-22531	82	24	,	,	PUNCT
fcis-22531	82	25	that	that	ADV
fcis-22531	82	26	is	is	ADV
fcis-22531	82	27	,	,	PUNCT
fcis-22531	82	28	the	the	DET
fcis-22531	82	29	probability	probability	NOUN
fcis-22531	82	30	of	of	ADP
fcis-22531	82	31	the	the	DET
fcis-22531	82	32	occurrence	occurrence	NOUN
fcis-22531	82	33	of	of	ADP
fcis-22531	82	34	the	the	DET
fcis-22531	82	35	precursor	precursor	NOUN
fcis-22531	82	36	characteristic	characteristic	ADJ
fcis-22531	82	37	signal	signal	NOUN
fcis-22531	82	38	requested	request	VERB
fcis-22531	82	39	by	by	ADP
fcis-22531	82	40	the	the	DET
fcis-22531	82	41	problem	problem	NOUN
fcis-22531	82	42	.	.	PUNCT
fcis-22531	83	1	with	with	ADP
fcis-22531	83	2	the	the	DET
fcis-22531	83	3	mk	mk	NOUN
fcis-22531	83	4	trend	trend	NOUN
fcis-22531	83	5	test	test	NOUN
fcis-22531	83	6	and	and	CCONJ
fcis-22531	83	7	adf	adf	PROPN
fcis-22531	83	8	stationary	stationary	PROPN
fcis-22531	83	9	series	series	PROPN
fcis-22531	83	10	test	test	NOUN
fcis-22531	83	11	in	in	ADP
fcis-22531	83	12	3.2	3.2	NUM
fcis-22531	83	13	above	above	ADV
fcis-22531	83	14	,	,	PUNCT
fcis-22531	83	15	the	the	DET
fcis-22531	83	16	data	data	NOUN
fcis-22531	83	17	is	be	AUX
fcis-22531	83	18	first	first	ADV
fcis-22531	83	19	tested	test	VERB
fcis-22531	83	20	to	to	PART
fcis-22531	83	21	obtain	obtain	VERB
fcis-22531	83	22	its	its	PRON
fcis-22531	83	23	corresponding	corresponding	ADJ
fcis-22531	83	24	p	p	NOUN
fcis-22531	83	25	-	-	PUNCT
fcis-22531	83	26	value	value	NOUN
fcis-22531	83	27	,	,	PUNCT
fcis-22531	83	28	and	and	CCONJ
fcis-22531	83	29	its	its	PRON
fcis-22531	83	30	dynamic	dynamic	ADJ
fcis-22531	83	31	situation	situation	NOUN
fcis-22531	83	32	is	be	AUX
fcis-22531	83	33	analyzed	analyze	VERB
fcis-22531	83	34	to	to	PART
fcis-22531	83	35	obtain	obtain	VERB
fcis-22531	83	36	the	the	DET
fcis-22531	83	37	unique	unique	ADJ
fcis-22531	83	38	trend	trend	NOUN
fcis-22531	83	39	of	of	ADP
fcis-22531	83	40	p	p	NOUN
fcis-22531	83	41	-	-	PUNCT
fcis-22531	83	42	value	value	NOUN
fcis-22531	83	43	.	.	PUNCT
fcis-22531	84	1	after	after	ADP
fcis-22531	84	2	replacing	replace	VERB
fcis-22531	84	3	it	it	PRON
fcis-22531	84	4	into	into	ADP
fcis-22531	84	5	the	the	DET
fcis-22531	84	6	perceptron	perceptron	PROPN
fcis-22531	84	7	model	model	NOUN
fcis-22531	84	8	using	use	VERB
fcis-22531	84	9	sigmoid	sigmoid	NOUN
fcis-22531	84	10	activation	activation	NOUN
fcis-22531	84	11	function	function	NOUN
fcis-22531	84	12	,	,	PUNCT
fcis-22531	84	13	the	the	DET
fcis-22531	84	14	corresponding	corresponding	ADJ
fcis-22531	84	15	probability	probability	NOUN
fcis-22531	84	16	can	can	AUX
fcis-22531	84	17	be	be	AUX
fcis-22531	84	18	obtained	obtain	VERB
fcis-22531	84	19	through	through	ADP
fcis-22531	84	20	calculation	calculation	NOUN
fcis-22531	84	21	,	,	PUNCT
fcis-22531	84	22	as	as	SCONJ
fcis-22531	84	23	shown	show	VERB
fcis-22531	84	24	in	in	ADP
fcis-22531	84	25	table	table	NOUN
fcis-22531	84	26	4	4	NUM
fcis-22531	84	27	.	.	PUNCT
fcis-22531	84	28	table	table	NOUN
fcis-22531	84	29	4	4	NUM
fcis-22531	84	30	.	.	PUNCT
fcis-22531	85	1	the	the	DET
fcis-22531	85	2	probability	probability	NOUN
fcis-22531	85	3	of	of	ADP
fcis-22531	85	4	precursor	precursor	NOUN
fcis-22531	85	5	features	feature	NOUN
fcis-22531	85	6	occurring	occur	VERB
fcis-22531	85	7	at	at	ADP
fcis-22531	85	8	the	the	DET
fcis-22531	85	9	time	time	NOUN
fcis-22531	85	10	of	of	ADP
fcis-22531	85	11	data	datum	NOUN
fcis-22531	85	12	collection	collection	NOUN
fcis-22531	85	13	time	time	NOUN
fcis-22531	85	14	of	of	ADP
fcis-22531	85	15	electromagnetic	electromagnetic	ADJ
fcis-22531	85	16	radiation	radiation	NOUN
fcis-22531	85	17	data	datum	NOUN
fcis-22531	85	18	probability	probability	NOUN
fcis-22531	85	19	the	the	DET
fcis-22531	85	20	time	time	NOUN
fcis-22531	85	21	of	of	ADP
fcis-22531	85	22	the	the	DET
fcis-22531	85	23	acoustic	acoustic	ADJ
fcis-22531	85	24	emission	emission	NOUN
fcis-22531	85	25	data	datum	NOUN
fcis-22531	85	26	probability	probability	NOUN
fcis-22531	85	27	2023	2023	NUM
fcis-22531	85	28	-	-	SYM
fcis-22531	85	29	1	1	NUM
fcis-22531	85	30	-	-	SYM
fcis-22531	85	31	24	24	NUM
fcis-22531	85	32	23:58:36	23:58:36	NUM
fcis-22531	85	33	0.001195	0.001195	NUM
fcis-22531	85	34	%	%	NOUN
fcis-22531	85	35	2023	2023	NUM
fcis-22531	85	36	-	-	SYM
fcis-22531	85	37	1	1	NUM
fcis-22531	85	38	-	-	SYM
fcis-22531	85	39	24	24	NUM
fcis-22531	85	40	23:58:36	23:58:36	NUM
fcis-22531	85	41	0.07968	0.07968	NUM
fcis-22531	85	42	%	%	NOUN
fcis-22531	85	43	2023	2023	NUM
fcis-22531	85	44	-	-	SYM
fcis-22531	85	45	2	2	NUM
fcis-22531	85	46	-	-	SYM
fcis-22531	85	47	11	11	NUM
fcis-22531	85	48	23:59:20	23:59:20	NUM
fcis-22531	85	49	79.90	79.90	NUM
fcis-22531	85	50	%	%	NOUN
fcis-22531	85	51	2023	2023	NUM
fcis-22531	85	52	-	-	SYM
fcis-22531	85	53	2	2	NUM
fcis-22531	85	54	-	-	SYM
fcis-22531	85	55	11	11	NUM
fcis-22531	85	56	23:59:20	23:59:20	NUM
fcis-22531	85	57	0.6814	0.6814	NUM
fcis-22531	85	58	%	%	NOUN
fcis-22531	85	59	2023	2023	NUM
fcis-22531	85	60	-	-	SYM
fcis-22531	85	61	2	2	NUM
fcis-22531	85	62	-	-	SYM
fcis-22531	85	63	26	26	NUM
fcis-22531	85	64	23:59:27	23:59:27	NUM
fcis-22531	85	65	99.42	99.42	NUM
fcis-22531	85	66	%	%	NOUN
fcis-22531	85	67	2023	2023	NUM
fcis-22531	85	68	-	-	SYM
fcis-22531	85	69	2	2	NUM
fcis-22531	85	70	-	-	SYM
fcis-22531	85	71	26	26	NUM
fcis-22531	85	72	23:59:27	23:59:27	NUM
fcis-22531	85	73	40.21	40.21	NUM
fcis-22531	85	74	%	%	NOUN
fcis-22531	85	75	2023	2023	NUM
fcis-22531	85	76	-	-	SYM
fcis-22531	85	77	3	3	NUM
fcis-22531	85	78	-	-	SYM
fcis-22531	85	79	10	10	NUM
fcis-22531	85	80	23:58:14	23:58:14	NUM
fcis-22531	85	81	9.950	9.950	NUM
fcis-22531	85	82	%	%	NOUN
fcis-22531	85	83	2023	2023	NUM
fcis-22531	85	84	-	-	SYM
fcis-22531	85	85	3	3	NUM
fcis-22531	85	86	-	-	SYM
fcis-22531	85	87	10	10	NUM
fcis-22531	85	88	23:58:14	23:58:14	NUM
fcis-22531	85	89	2.205	2.205	NUM
fcis-22531	85	90	%	%	NOUN
fcis-22531	85	91	2023	2023	NUM
fcis-22531	85	92	-	-	SYM
fcis-22531	85	93	3	3	NUM
fcis-22531	85	94	-	-	SYM
fcis-22531	85	95	30	30	NUM
fcis-22531	85	96	23:58:13	23:58:13	NUM
fcis-22531	85	97	99.85	99.85	NUM
fcis-22531	85	98	%	%	NOUN
fcis-22531	85	99	2023	2023	NUM
fcis-22531	85	100	-	-	SYM
fcis-22531	85	101	3	3	NUM
fcis-22531	85	102	-	-	SYM
fcis-22531	85	103	30	30	NUM
fcis-22531	85	104	23:58:13	23:58:13	NUM
fcis-22531	85	105	81.99	81.99	NUM
fcis-22531	85	106	%	%	NOUN
fcis-22531	85	107	5	5	NUM
fcis-22531	85	108	.	.	PUNCT
fcis-22531	85	109	conclusion	conclusion	NOUN
fcis-22531	85	110	this	this	DET
fcis-22531	85	111	paper	paper	NOUN
fcis-22531	85	112	effectively	effectively	ADV
fcis-22531	85	113	identifies	identify	VERB
fcis-22531	85	114	and	and	CCONJ
fcis-22531	85	115	predicts	predict	VERB
fcis-22531	85	116	the	the	DET
fcis-22531	85	117	precursory	precursory	NOUN
fcis-22531	85	118	feature	feature	NOUN
fcis-22531	85	119	signals	signal	NOUN
fcis-22531	85	120	of	of	ADP
fcis-22531	85	121	coal	coal	NOUN
fcis-22531	85	122	mine	mine	NOUN
fcis-22531	85	123	rock	rock	NOUN
fcis-22531	85	124	bursts	burst	NOUN
fcis-22531	85	125	by	by	ADP
fcis-22531	85	126	constructing	construct	VERB
fcis-22531	85	127	a	a	DET
fcis-22531	85	128	model	model	NOUN
fcis-22531	85	129	based	base	VERB
fcis-22531	85	130	on	on	ADP
fcis-22531	85	131	the	the	DET
fcis-22531	85	132	random	random	ADJ
fcis-22531	85	133	forest	forest	NOUN
fcis-22531	85	134	and	and	CCONJ
fcis-22531	85	135	mk	mk	NOUN
fcis-22531	85	136	trend	trend	NOUN
fcis-22531	85	137	test	test	NOUN
fcis-22531	85	138	.	.	PUNCT
fcis-22531	86	1	through	through	ADP
fcis-22531	86	2	in	in	ADP
fcis-22531	86	3	-	-	PUNCT
fcis-22531	86	4	depth	depth	NOUN
fcis-22531	86	5	analysis	analysis	NOUN
fcis-22531	86	6	of	of	ADP
fcis-22531	86	7	electromagnetic	electromagnetic	ADJ
fcis-22531	86	8	radiation	radiation	NOUN
fcis-22531	86	9	and	and	CCONJ
fcis-22531	86	10	acoustic	acoustic	ADJ
fcis-22531	86	11	wave	wave	NOUN
fcis-22531	86	12	intensity	intensity	NOUN
fcis-22531	86	13	data	datum	NOUN
fcis-22531	86	14	,	,	PUNCT
fcis-22531	86	15	we	we	PRON
fcis-22531	86	16	have	have	AUX
fcis-22531	86	17	revealed	reveal	VERB
fcis-22531	86	18	specific	specific	ADJ
fcis-22531	86	19	patterns	pattern	NOUN
fcis-22531	86	20	of	of	ADP
fcis-22531	86	21	these	these	DET
fcis-22531	86	22	signals	signal	NOUN
fcis-22531	86	23	prior	prior	ADV
fcis-22531	86	24	to	to	ADP
fcis-22531	86	25	the	the	DET
fcis-22531	86	26	occurrence	occurrence	NOUN
fcis-22531	86	27	of	of	ADP
fcis-22531	86	28	rock	rock	NOUN
fcis-22531	86	29	bursts	burst	NOUN
fcis-22531	86	30	.	.	PUNCT
fcis-22531	87	1	by	by	ADP
fcis-22531	87	2	using	use	VERB
fcis-22531	87	3	clustering	clustering	ADJ
fcis-22531	87	4	methods	method	NOUN
fcis-22531	87	5	for	for	ADP
fcis-22531	87	6	data	data	NOUN
fcis-22531	87	7	preprocessing	preprocessing	NOUN
fcis-22531	87	8	and	and	CCONJ
fcis-22531	87	9	visualization	visualization	NOUN
fcis-22531	87	10	,	,	PUNCT
fcis-22531	87	11	we	we	PRON
fcis-22531	87	12	successfully	successfully	ADV
fcis-22531	87	13	distinguished	distinguish	VERB
fcis-22531	87	14	between	between	ADP
fcis-22531	87	15	normal	normal	ADJ
fcis-22531	87	16	and	and	CCONJ
fcis-22531	87	17	precursory	precursory	NOUN
fcis-22531	87	18	signals	signal	NOUN
fcis-22531	87	19	,	,	PUNCT
fcis-22531	87	20	thereby	thereby	ADV
fcis-22531	87	21	establishing	establish	VERB
fcis-22531	87	22	a	a	DET
fcis-22531	87	23	predictive	predictive	ADJ
fcis-22531	87	24	model	model	NOUN
fcis-22531	87	25	.	.	PUNCT
fcis-22531	88	1	the	the	DET
fcis-22531	88	2	random	random	ADJ
fcis-22531	88	3	forest	forest	NOUN
fcis-22531	88	4	model	model	NOUN
fcis-22531	88	5	,	,	PUNCT
fcis-22531	88	6	known	know	VERB
fcis-22531	88	7	for	for	ADP
fcis-22531	88	8	its	its	PRON
fcis-22531	88	9	robust	robust	ADJ
fcis-22531	88	10	classification	classification	NOUN
fcis-22531	88	11	capabilities	capability	NOUN
fcis-22531	88	12	,	,	PUNCT
fcis-22531	88	13	was	be	AUX
fcis-22531	88	14	employed	employ	VERB
fcis-22531	88	15	in	in	ADP
fcis-22531	88	16	this	this	DET
fcis-22531	88	17	study	study	NOUN
fcis-22531	88	18	,	,	PUNCT
fcis-22531	88	19	while	while	SCONJ
fcis-22531	88	20	the	the	DET
fcis-22531	88	21	mk	mk	PROPN
fcis-22531	88	22	trend	trend	NOUN
fcis-22531	88	23	test	test	NOUN
fcis-22531	88	24	provided	provide	VERB
fcis-22531	88	25	a	a	DET
fcis-22531	88	26	solid	solid	ADJ
fcis-22531	88	27	statistical	statistical	ADJ
fcis-22531	88	28	foundation	foundation	NOUN
fcis-22531	88	29	for	for	ADP
fcis-22531	88	30	identifying	identify	VERB
fcis-22531	88	31	trend	trend	NOUN
fcis-22531	88	32	changes	change	NOUN
fcis-22531	88	33	in	in	ADP
fcis-22531	88	34	the	the	DET
fcis-22531	88	35	signals	signal	NOUN
fcis-22531	88	36	.	.	PUNCT
fcis-22531	89	1	the	the	DET
fcis-22531	89	2	combined	combine	VERB
fcis-22531	89	3	application	application	NOUN
fcis-22531	89	4	of	of	ADP
fcis-22531	89	5	these	these	DET
fcis-22531	89	6	two	two	NUM
fcis-22531	89	7	methods	method	NOUN
fcis-22531	89	8	not	not	PART
fcis-22531	89	9	only	only	ADV
fcis-22531	89	10	improved	improve	VERB
fcis-22531	89	11	the	the	DET
fcis-22531	89	12	accuracy	accuracy	NOUN
fcis-22531	89	13	of	of	ADP
fcis-22531	89	14	precursory	precursory	ADJ
fcis-22531	89	15	signal	signal	NOUN
fcis-22531	89	16	identification	identification	NOUN
fcis-22531	89	17	but	but	CCONJ
fcis-22531	89	18	also	also	ADV
fcis-22531	89	19	predicted	predict	VERB
fcis-22531	89	20	5	5	NUM
fcis-22531	89	21	the	the	DET
fcis-22531	89	22	time	time	NOUN
fcis-22531	89	23	intervals	interval	NOUN
fcis-22531	89	24	in	in	ADP
fcis-22531	89	25	which	which	PRON
fcis-22531	89	26	these	these	DET
fcis-22531	89	27	signals	signal	NOUN
fcis-22531	89	28	are	be	AUX
fcis-22531	89	29	likely	likely	ADJ
fcis-22531	89	30	to	to	PART
fcis-22531	89	31	occur	occur	VERB
fcis-22531	89	32	,	,	PUNCT
fcis-22531	89	33	providing	provide	VERB
fcis-22531	89	34	valuable	valuable	ADJ
fcis-22531	89	35	early	early	ADJ
fcis-22531	89	36	warning	warning	NOUN
fcis-22531	89	37	information	information	NOUN
fcis-22531	89	38	for	for	ADP
fcis-22531	89	39	the	the	DET
fcis-22531	89	40	safety	safety	NOUN
fcis-22531	89	41	of	of	ADP
fcis-22531	89	42	coal	coal	NOUN
fcis-22531	89	43	mine	mine	NOUN
fcis-22531	89	44	production	production	NOUN
fcis-22531	89	45	.	.	PUNCT
fcis-22531	90	1	furthermore	furthermore	ADV
fcis-22531	90	2	,	,	PUNCT
fcis-22531	90	3	the	the	DET
fcis-22531	90	4	model	model	NOUN
fcis-22531	90	5	proposed	propose	VERB
fcis-22531	90	6	in	in	ADP
fcis-22531	90	7	this	this	DET
fcis-22531	90	8	study	study	NOUN
fcis-22531	90	9	demonstrated	demonstrate	VERB
fcis-22531	90	10	high	high	ADJ
fcis-22531	90	11	accuracy	accuracy	NOUN
fcis-22531	90	12	and	and	CCONJ
fcis-22531	90	13	good	good	ADJ
fcis-22531	90	14	generalization	generalization	NOUN
fcis-22531	90	15	ability	ability	NOUN
fcis-22531	90	16	in	in	ADP
fcis-22531	90	17	empirical	empirical	ADJ
fcis-22531	90	18	analysis	analysis	NOUN
fcis-22531	90	19	,	,	PUNCT
fcis-22531	90	20	verifying	verify	VERB
fcis-22531	90	21	the	the	DET
fcis-22531	90	22	effectiveness	effectiveness	NOUN
fcis-22531	90	23	and	and	CCONJ
fcis-22531	90	24	practicality	practicality	NOUN
fcis-22531	90	25	of	of	ADP
fcis-22531	90	26	the	the	DET
fcis-22531	90	27	model	model	NOUN
fcis-22531	90	28	.	.	PUNCT
fcis-22531	91	1	however	however	ADV
fcis-22531	91	2	,	,	PUNCT
fcis-22531	91	3	the	the	DET
fcis-22531	91	4	complexity	complexity	NOUN
fcis-22531	91	5	of	of	ADP
fcis-22531	91	6	the	the	DET
fcis-22531	91	7	coal	coal	NOUN
fcis-22531	91	8	mine	mine	NOUN
fcis-22531	91	9	environment	environment	NOUN
fcis-22531	91	10	suggests	suggest	VERB
fcis-22531	91	11	that	that	SCONJ
fcis-22531	91	12	there	there	PRON
fcis-22531	91	13	is	be	VERB
fcis-22531	91	14	still	still	ADV
fcis-22531	91	15	room	room	NOUN
fcis-22531	91	16	for	for	ADP
fcis-22531	91	17	improvement	improvement	NOUN
fcis-22531	91	18	.	.	PUNCT
fcis-22531	92	1	future	future	ADJ
fcis-22531	92	2	research	research	NOUN
fcis-22531	92	3	can	can	AUX
fcis-22531	92	4	further	far	ADV
fcis-22531	92	5	explore	explore	VERB
fcis-22531	92	6	the	the	DET
fcis-22531	92	7	applicability	applicability	NOUN
fcis-22531	92	8	of	of	ADP
fcis-22531	92	9	the	the	DET
fcis-22531	92	10	model	model	NOUN
fcis-22531	92	11	under	under	ADP
fcis-22531	92	12	different	different	ADJ
fcis-22531	92	13	mining	mining	NOUN
fcis-22531	92	14	conditions	condition	NOUN
fcis-22531	92	15	and	and	CCONJ
fcis-22531	92	16	consider	consider	VERB
fcis-22531	92	17	incorporating	incorporate	VERB
fcis-22531	92	18	more	more	ADJ
fcis-22531	92	19	types	type	NOUN
fcis-22531	92	20	of	of	ADP
fcis-22531	92	21	sensor	sensor	NOUN
fcis-22531	92	22	data	datum	NOUN
fcis-22531	92	23	to	to	PART
fcis-22531	92	24	enhance	enhance	VERB
fcis-22531	92	25	the	the	DET
fcis-22531	92	26	accuracy	accuracy	NOUN
fcis-22531	92	27	and	and	CCONJ
fcis-22531	92	28	reliability	reliability	NOUN
fcis-22531	92	29	of	of	ADP
fcis-22531	92	30	predictions	prediction	NOUN
fcis-22531	92	31	.	.	PUNCT
fcis-22531	93	1	references	reference	NOUN
fcis-22531	93	2	[	[	X
fcis-22531	93	3	1	1	NUM
fcis-22531	93	4	]	]	X
fcis-22531	93	5	fu	fu	PROPN
fcis-22531	93	6	-	-	PUNCT
fcis-22531	93	7	xing	xing	PROPN
fcis-22531	93	8	j	j	PROPN
fcis-22531	93	9	,	,	PUNCT
fcis-22531	93	10	xian	xian	PROPN
fcis-22531	93	11	-	-	PUNCT
fcis-22531	93	12	feng	feng	PROPN
fcis-22531	93	13	s	s	PART
fcis-22531	93	14	h	h	NOUN
fcis-22531	93	15	i	i	PROPN
fcis-22531	93	16	,	,	PUNCT
fcis-22531	93	17	cun	cun	PROPN
fcis-22531	93	18	-	-	PUNCT
fcis-22531	93	19	wen	wen	PROPN
fcis-22531	93	20	w	w	PROPN
fcis-22531	93	21	,	,	PUNCT
fcis-22531	93	22	et	et	PROPN
fcis-22531	93	23	al	al	PROPN
fcis-22531	93	24	.	.	PROPN
fcis-22531	94	1	mechanical	mechanical	ADJ
fcis-22531	94	2	mechanism	mechanism	NOUN
fcis-22531	94	3	of	of	ADP
fcis-22531	94	4	rock	rock	NOUN
fcis-22531	94	5	burst	burst	ADJ
fcis-22531	94	6	accidents	accident	NOUN
fcis-22531	94	7	in	in	ADP
fcis-22531	94	8	slice	slice	NOUN
fcis-22531	94	9	mining	mining	NOUN
fcis-22531	94	10	face	face	NOUN
fcis-22531	94	11	under	under	ADP
fcis-22531	94	12	high	high	ADJ
fcis-22531	94	13	pressure[j	pressure[j	NOUN
fcis-22531	94	14	]	]	PUNCT
fcis-22531	94	15	.	.	PUNCT
fcis-22531	95	1	chinese	chinese	ADJ
fcis-22531	95	2	journal	journal	PROPN
fcis-22531	95	3	of	of	ADP
fcis-22531	95	4	geotechnical	geotechnical	ADJ
fcis-22531	95	5	engineering	engineering	NOUN
fcis-22531	95	6	,	,	PUNCT
fcis-22531	95	7	2015	2015	NUM
fcis-22531	95	8	,	,	PUNCT
fcis-22531	95	9	37(6	37(6	NUM
fcis-22531	95	10	):	):	PUNCT
fcis-22531	95	11	1123	1123	NUM
fcis-22531	95	12	-	-	SYM
fcis-22531	95	13	1131	1131	NUM
fcis-22531	95	14	.	.	PUNCT
fcis-22531	96	1	[	[	X
fcis-22531	96	2	2	2	NUM
fcis-22531	96	3	]	]	X
fcis-22531	96	4	peixoto	peixoto	NOUN
fcis-22531	96	5	a	a	NOUN
fcis-22531	96	6	,	,	PUNCT
fcis-22531	96	7	ribeiro	ribeiro	PROPN
fcis-22531	96	8	e	e	PROPN
fcis-22531	96	9	sousa	sousa	PROPN
fcis-22531	96	10	l	l	PROPN
fcis-22531	96	11	,	,	PUNCT
fcis-22531	96	12	leal	leal	PROPN
fcis-22531	96	13	e	e	PROPN
fcis-22531	96	14	sousa	sousa	PROPN
fcis-22531	96	15	r	r	PROPN
fcis-22531	96	16	,	,	PUNCT
fcis-22531	96	17	et	et	PROPN
fcis-22531	96	18	al	al	PROPN
fcis-22531	96	19	.	.	PROPN
fcis-22531	96	20	prediction	prediction	NOUN
fcis-22531	96	21	of	of	ADP
fcis-22531	96	22	rockburst	rockburst	NOUN
fcis-22531	96	23	based	base	VERB
fcis-22531	96	24	on	on	ADP
fcis-22531	96	25	an	an	DET
fcis-22531	96	26	accident	accident	NOUN
fcis-22531	96	27	database[c]//isrm	database[c]//isrm	PROPN
fcis-22531	96	28	congress	congress	PROPN
fcis-22531	96	29	.	.	PUNCT
fcis-22531	97	1	isrm	isrm	PROPN
fcis-22531	97	2	,	,	PUNCT
fcis-22531	97	3	2011	2011	NUM
fcis-22531	97	4	:	:	PUNCT
fcis-22531	97	5	isrm-12congress-2011	isrm-12congress-2011	NOUN
fcis-22531	97	6	-	-	VERB
fcis-22531	97	7	224	224	NUM
fcis-22531	97	8	.	.	PUNCT
fcis-22531	98	1	[	[	X
fcis-22531	98	2	3	3	X
fcis-22531	98	3	]	]	X
fcis-22531	98	4	chen	chen	PROPN
fcis-22531	98	5	y	y	PROPN
fcis-22531	98	6	,	,	PUNCT
fcis-22531	98	7	zhang	zhang	PROPN
fcis-22531	98	8	z	z	PROPN
fcis-22531	98	9	,	,	PUNCT
fcis-22531	98	10	cao	cao	PROPN
fcis-22531	98	11	c	c	AUX
fcis-22531	98	12	,	,	PUNCT
fcis-22531	98	13	et	et	PROPN
fcis-22531	98	14	al	al	PROPN
fcis-22531	98	15	.	.	PROPN
fcis-22531	98	16	research	research	NOUN
fcis-22531	98	17	on	on	ADP
fcis-22531	98	18	the	the	DET
fcis-22531	98	19	causal	causal	ADJ
fcis-22531	98	20	mechanism	mechanism	NOUN
fcis-22531	98	21	of	of	ADP
fcis-22531	98	22	a	a	DET
fcis-22531	98	23	rock	rock	NOUN
fcis-22531	98	24	burst	burst	NOUN
fcis-22531	98	25	accident	accident	NOUN
fcis-22531	98	26	in	in	ADP
fcis-22531	98	27	a	a	DET
fcis-22531	98	28	longwall	longwall	ADJ
fcis-22531	98	29	roadway	roadway	NOUN
fcis-22531	98	30	and	and	CCONJ
fcis-22531	98	31	its	its	PRON
fcis-22531	98	32	prevention	prevention	NOUN
fcis-22531	98	33	measures[j	measures[j	PROPN
fcis-22531	98	34	]	]	PUNCT
fcis-22531	98	35	.	.	PUNCT
fcis-22531	99	1	scientific	scientific	ADJ
fcis-22531	99	2	reports	report	NOUN
fcis-22531	99	3	,	,	PUNCT
fcis-22531	99	4	2023	2023	NUM
fcis-22531	99	5	,	,	PUNCT
fcis-22531	99	6	13(1	13(1	NUM
fcis-22531	99	7	):	):	PUNCT
fcis-22531	99	8	22312	22312	NUM
fcis-22531	99	9	.	.	PUNCT
fcis-22531	100	1	[	[	X
fcis-22531	100	2	4	4	NUM
fcis-22531	100	3	]	]	PUNCT
fcis-22531	100	4	varotsos	varotsos	NOUN
fcis-22531	100	5	c	c	PROPN
fcis-22531	100	6	a	a	PRON
fcis-22531	100	7	,	,	PUNCT
fcis-22531	100	8	tzanis	tzanis	NOUN
fcis-22531	100	9	c	c	NOUN
fcis-22531	100	10	,	,	PUNCT
fcis-22531	100	11	cracknell	cracknell	VERB
fcis-22531	100	12	a	a	DET
fcis-22531	100	13	p.	p.	NOUN
fcis-22531	100	14	precursory	precursory	NOUN
fcis-22531	100	15	signals	signal	NOUN
fcis-22531	100	16	of	of	ADP
fcis-22531	100	17	the	the	DET
fcis-22531	100	18	major	major	ADJ
fcis-22531	100	19	el	el	PROPN
fcis-22531	100	20	niño	niño	PROPN
fcis-22531	100	21	southern	southern	PROPN
fcis-22531	100	22	oscillation	oscillation	PROPN
fcis-22531	100	23	events[j	events[j	PROPN
fcis-22531	100	24	]	]	PUNCT
fcis-22531	100	25	.	.	PUNCT
fcis-22531	101	1	theoretical	theoretical	ADJ
fcis-22531	101	2	and	and	CCONJ
fcis-22531	101	3	applied	applied	ADJ
fcis-22531	101	4	climatology	climatology	NOUN
fcis-22531	101	5	,	,	PUNCT
fcis-22531	101	6	2016	2016	NUM
fcis-22531	101	7	,	,	PUNCT
fcis-22531	101	8	124	124	NUM
fcis-22531	101	9	:	:	PUNCT
fcis-22531	101	10	903	903	NUM
fcis-22531	101	11	-	-	SYM
fcis-22531	101	12	912	912	NUM
fcis-22531	101	13	.	.	PUNCT
fcis-22531	102	1	[	[	X
fcis-22531	102	2	5	5	X
fcis-22531	102	3	]	]	PUNCT
fcis-22531	102	4	sánchez‐pastor	sánchez‐pastor	NOUN
fcis-22531	102	5	p	p	NOUN
fcis-22531	102	6	,	,	PUNCT
fcis-22531	102	7	obermann	obermann	ADV
fcis-22531	102	8	a	a	PRON
fcis-22531	102	9	,	,	PUNCT
fcis-22531	102	10	schimmel	schimmel	ADJ
fcis-22531	102	11	m.	m.	NOUN
fcis-22531	102	12	detecting	detect	VERB
fcis-22531	102	13	and	and	CCONJ
fcis-22531	102	14	locating	locate	VERB
fcis-22531	102	15	precursory	precursory	NOUN
fcis-22531	102	16	signals	signal	NOUN
fcis-22531	102	17	during	during	ADP
fcis-22531	102	18	the	the	DET
fcis-22531	102	19	2011	2011	NUM
fcis-22531	102	20	el	el	PROPN
fcis-22531	102	21	hierro	hierro	PROPN
fcis-22531	102	22	,	,	PUNCT
fcis-22531	102	23	canary	canary	NOUN
fcis-22531	102	24	islands	island	NOUN
fcis-22531	102	25	,	,	PUNCT
fcis-22531	102	26	submarine	submarine	NOUN
fcis-22531	102	27	eruption[j	eruption[j	PROPN
fcis-22531	102	28	]	]	X
fcis-22531	102	29	.	.	PUNCT
fcis-22531	103	1	geophysical	geophysical	ADJ
fcis-22531	103	2	research	research	NOUN
fcis-22531	103	3	letters	letter	NOUN
fcis-22531	103	4	,	,	PUNCT
fcis-22531	103	5	2018	2018	NUM
fcis-22531	103	6	,	,	PUNCT
fcis-22531	103	7	45(19	45(19	NUM
fcis-22531	103	8	):	):	PUNCT
fcis-22531	103	9	10,288	10,288	NUM
fcis-22531	103	10	-	-	SYM
fcis-22531	103	11	10,297	10,297	NUM
fcis-22531	103	12	.	.	PUNCT
fcis-22531	104	1	[	[	X
fcis-22531	104	2	6	6	NUM
fcis-22531	104	3	]	]	PUNCT
fcis-22531	104	4	rigatti	rigatti	NOUN
fcis-22531	104	5	s	s	PART
fcis-22531	104	6	j.	j.	PROPN
fcis-22531	104	7	random	random	PROPN
fcis-22531	104	8	forest[j	forest[j	PROPN
fcis-22531	104	9	]	]	PUNCT
fcis-22531	104	10	.	.	PUNCT
fcis-22531	104	11	journal	journal	PROPN
fcis-22531	104	12	of	of	ADP
fcis-22531	104	13	insurance	insurance	NOUN
fcis-22531	104	14	medicine	medicine	NOUN
fcis-22531	104	15	,	,	PUNCT
fcis-22531	104	16	2017	2017	NUM
fcis-22531	104	17	,	,	PUNCT
fcis-22531	104	18	47(1	47(1	NUM
fcis-22531	104	19	):	):	PUNCT
fcis-22531	104	20	31	31	NUM
fcis-22531	104	21	-	-	SYM
fcis-22531	104	22	39	39	NUM
fcis-22531	104	23	.	.	PUNCT
fcis-22531	105	1	[	[	X
fcis-22531	105	2	7	7	X
fcis-22531	105	3	]	]	PUNCT
fcis-22531	105	4	sang	sing	VERB
fcis-22531	105	5	y	y	PROPN
fcis-22531	105	6	f	f	PROPN
fcis-22531	105	7	,	,	PUNCT
fcis-22531	105	8	wang	wang	PROPN
fcis-22531	105	9	z	z	PROPN
fcis-22531	105	10	,	,	PUNCT
fcis-22531	105	11	liu	liu	PROPN
fcis-22531	105	12	c.	c.	PROPN
fcis-22531	105	13	comparison	comparison	NOUN
fcis-22531	105	14	of	of	ADP
fcis-22531	105	15	the	the	DET
fcis-22531	105	16	mk	mk	PROPN
fcis-22531	105	17	test	test	NOUN
fcis-22531	105	18	and	and	CCONJ
fcis-22531	105	19	emd	emd	PROPN
fcis-22531	105	20	method	method	NOUN
fcis-22531	105	21	for	for	ADP
fcis-22531	105	22	trend	trend	NOUN
fcis-22531	105	23	identification	identification	NOUN
fcis-22531	105	24	in	in	ADP
fcis-22531	105	25	hydrological	hydrological	ADJ
fcis-22531	105	26	time	time	NOUN
fcis-22531	105	27	series[j	series[j	PROPN
fcis-22531	105	28	]	]	PUNCT
fcis-22531	105	29	.	.	PUNCT
fcis-22531	106	1	journal	journal	PROPN
fcis-22531	106	2	of	of	ADP
fcis-22531	106	3	hydrology	hydrology	NOUN
fcis-22531	106	4	,	,	PUNCT
fcis-22531	106	5	2014	2014	NUM
fcis-22531	106	6	,	,	PUNCT
fcis-22531	106	7	510	510	NUM
fcis-22531	106	8	:	:	SYM
fcis-22531	106	9	293	293	NUM
fcis-22531	106	10	-	-	SYM
fcis-22531	106	11	298	298	NUM
fcis-22531	106	12	.	.	PUNCT