id	sid	tid	token	lemma	pos
bibechana-70637	1	1	bibechana	bibechana	PROPN
bibechana-70637	1	2	vol	vol	NOUN
bibechana-70637	1	3	.	.	PROPN
bibechana-70637	2	1	22	22	NUM
bibechana-70637	2	2	,	,	PUNCT
bibechana-70637	2	3	no	no	INTJ
bibechana-70637	2	4	.	.	NOUN
bibechana-70637	2	5	1	1	NUM
bibechana-70637	2	6	,	,	PUNCT
bibechana-70637	2	7	april	april	PROPN
bibechana-70637	2	8	2025	2025	NUM
bibechana-70637	2	9	,	,	PUNCT
bibechana-70637	2	10	22	22	NUM
bibechana-70637	2	11	-	-	SYM
bibechana-70637	2	12	29	29	NUM
bibechana-70637	2	13	issn	issn	PROPN
bibechana-70637	2	14	2091	2091	NUM
bibechana-70637	2	15	-	-	SYM
bibechana-70637	2	16	0762	0762	NUM
bibechana-70637	2	17	(	(	PUNCT
bibechana-70637	2	18	print	print	NOUN
bibechana-70637	2	19	)	)	PUNCT
bibechana-70637	2	20	,	,	PUNCT
bibechana-70637	2	21	2382	2382	NUM
bibechana-70637	2	22	-	-	SYM
bibechana-70637	2	23	5340	5340	NUM
bibechana-70637	2	24	(	(	PUNCT
bibechana-70637	2	25	online	online	ADJ
bibechana-70637	2	26	)	)	PUNCT
bibechana-70637	2	27	journal	journal	NOUN
bibechana-70637	2	28	homepage	homepage	NOUN
bibechana-70637	2	29	:	:	PUNCT
bibechana-70637	2	30	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	PROPN
bibechana-70637	2	31	publisher	publisher	NOUN
bibechana-70637	2	32	:	:	PUNCT
bibechana-70637	2	33	dept	dept	NOUN
bibechana-70637	2	34	.	.	PROPN
bibechana-70637	2	35	of	of	ADP
bibechana-70637	2	36	phys	phy	NOUN
bibechana-70637	2	37	.	.	PUNCT
bibechana-70637	2	38	,	,	PUNCT
bibechana-70637	3	1	mahendra	mahendra	PROPN
bibechana-70637	3	2	morang	morang	PROPN
bibechana-70637	3	3	a.	a.	PROPN
bibechana-70637	3	4	m.	m.	PROPN
bibechana-70637	3	5	campus	campus	PROPN
bibechana-70637	3	6	(	(	PUNCT
bibechana-70637	3	7	tribhuvan	tribhuvan	NOUN
bibechana-70637	3	8	university)biratnagar	university)biratnagar	NUM
bibechana-70637	3	9	machine	machine	NOUN
bibechana-70637	3	10	learning	learn	VERB
bibechana-70637	3	11	for	for	ADP
bibechana-70637	3	12	predicting	predict	VERB
bibechana-70637	3	13	earthquake	earthquake	NOUN
bibechana-70637	3	14	magnitudes	magnitude	NOUN
bibechana-70637	3	15	in	in	ADP
bibechana-70637	3	16	the	the	DET
bibechana-70637	3	17	central	central	ADJ
bibechana-70637	3	18	himalaya	himalaya	PROPN
bibechana-70637	3	19	ram	ram	PROPN
bibechana-70637	3	20	krishna	krishna	PROPN
bibechana-70637	3	21	tiwari1	tiwari1	PROPN
bibechana-70637	3	22	,	,	PUNCT
bibechana-70637	3	23	rudra	rudra	PROPN
bibechana-70637	3	24	prasad	prasad	PROPN
bibechana-70637	3	25	poudel1,2	poudel1,2	PROPN
bibechana-70637	3	26	,	,	PUNCT
bibechana-70637	3	27	harihar	harihar	ADJ
bibechana-70637	3	28	paudyal1	paudyal1	NOUN
bibechana-70637	3	29	1birendra	1birendra	NUM
bibechana-70637	3	30	multiple	multiple	ADJ
bibechana-70637	3	31	campus	campus	NOUN
bibechana-70637	3	32	,	,	PUNCT
bibechana-70637	3	33	tribhuvan	tribhuvan	PROPN
bibechana-70637	3	34	university	university	PROPN
bibechana-70637	3	35	,	,	PUNCT
bibechana-70637	3	36	bharatpur	bharatpur	PROPN
bibechana-70637	3	37	,	,	PUNCT
bibechana-70637	3	38	chitwan	chitwan	PROPN
bibechana-70637	3	39	,	,	PUNCT
bibechana-70637	3	40	nepal	nepal	ADJ
bibechana-70637	3	41	2central	2central	NUM
bibechana-70637	3	42	department	department	NOUN
bibechana-70637	3	43	of	of	ADP
bibechana-70637	3	44	physics	physics	PROPN
bibechana-70637	3	45	,	,	PUNCT
bibechana-70637	3	46	tribhuvan	tribhuvan	PROPN
bibechana-70637	3	47	university	university	PROPN
bibechana-70637	3	48	,	,	PUNCT
bibechana-70637	3	49	kirtipur	kirtipur	NOUN
bibechana-70637	3	50	,	,	PUNCT
bibechana-70637	3	51	kathmandu	kathmandu	NOUN
bibechana-70637	3	52	,	,	PUNCT
bibechana-70637	3	53	nepal	nepal	ADJ
bibechana-70637	3	54	∗corresponding	∗corresponde	VERB
bibechana-70637	3	55	author	author	NOUN
bibechana-70637	3	56	.	.	PUNCT
bibechana-70637	4	1	email	email	NOUN
bibechana-70637	4	2	:	:	PUNCT
bibechana-70637	4	3	ram.tiwari@bimc.tu.edu.np	ram.tiwari@bimc.tu.edu.np	PROPN
bibechana-70637	4	4	abstract	abstract	ADJ
bibechana-70637	4	5	human	human	ADJ
bibechana-70637	4	6	intervention	intervention	NOUN
bibechana-70637	4	7	can	can	AUX
bibechana-70637	4	8	not	not	PART
bibechana-70637	4	9	halt	halt	VERB
bibechana-70637	4	10	natural	natural	ADJ
bibechana-70637	4	11	disasters	disaster	NOUN
bibechana-70637	4	12	like	like	ADP
bibechana-70637	4	13	earthquakes	earthquake	NOUN
bibechana-70637	4	14	,	,	PUNCT
bibechana-70637	4	15	but	but	CCONJ
bibechana-70637	4	16	machine	machine	NOUN
bibechana-70637	4	17	learning	learn	VERB
bibechana-70637	4	18	applications	application	NOUN
bibechana-70637	4	19	expertise	expertise	NOUN
bibechana-70637	4	20	can	can	AUX
bibechana-70637	4	21	be	be	AUX
bibechana-70637	4	22	utilized	utilize	VERB
bibechana-70637	4	23	to	to	PART
bibechana-70637	4	24	detect	detect	VERB
bibechana-70637	4	25	patterns	pattern	NOUN
bibechana-70637	4	26	in	in	ADP
bibechana-70637	4	27	data	datum	NOUN
bibechana-70637	4	28	and	and	CCONJ
bibechana-70637	4	29	increase	increase	VERB
bibechana-70637	4	30	understanding	understanding	NOUN
bibechana-70637	4	31	and	and	CCONJ
bibechana-70637	4	32	predictive	predictive	ADJ
bibechana-70637	4	33	power	power	NOUN
bibechana-70637	4	34	.	.	PUNCT
bibechana-70637	5	1	recent	recent	ADJ
bibechana-70637	5	2	development	development	NOUN
bibechana-70637	5	3	of	of	ADP
bibechana-70637	5	4	machine	machine	NOUN
bibechana-70637	5	5	learning	learning	NOUN
bibechana-70637	5	6	models	model	NOUN
bibechana-70637	5	7	has	have	AUX
bibechana-70637	5	8	increasingly	increasingly	ADV
bibechana-70637	5	9	developed	develop	VERB
bibechana-70637	5	10	interest	interest	NOUN
bibechana-70637	5	11	in	in	ADP
bibechana-70637	5	12	forecasting	forecasting	NOUN
bibechana-70637	5	13	and	and	CCONJ
bibechana-70637	5	14	predicting	predict	VERB
bibechana-70637	5	15	the	the	DET
bibechana-70637	5	16	magnitude	magnitude	NOUN
bibechana-70637	5	17	of	of	ADP
bibechana-70637	5	18	earthquakes	earthquake	NOUN
bibechana-70637	5	19	.	.	PUNCT
bibechana-70637	6	1	in	in	ADP
bibechana-70637	6	2	this	this	DET
bibechana-70637	6	3	work	work	NOUN
bibechana-70637	6	4	,	,	PUNCT
bibechana-70637	6	5	random	random	ADJ
bibechana-70637	6	6	forest	forest	NOUN
bibechana-70637	6	7	regressor	regressor	NOUN
bibechana-70637	6	8	(	(	PUNCT
bibechana-70637	6	9	rfr	rfr	PROPN
bibechana-70637	6	10	)	)	PUNCT
bibechana-70637	6	11	,	,	PUNCT
bibechana-70637	6	12	multi	multi	ADJ
bibechana-70637	6	13	-	-	ADJ
bibechana-70637	6	14	layer	layer	ADJ
bibechana-70637	6	15	perceptron	perceptron	PROPN
bibechana-70637	6	16	regressor	regressor	NOUN
bibechana-70637	6	17	(	(	PUNCT
bibechana-70637	6	18	mlpr	mlpr	PROPN
bibechana-70637	6	19	)	)	PUNCT
bibechana-70637	6	20	,	,	PUNCT
bibechana-70637	6	21	and	and	CCONJ
bibechana-70637	6	22	support	support	VERB
bibechana-70637	6	23	vector	vector	NOUN
bibechana-70637	6	24	regression	regression	NOUN
bibechana-70637	6	25	(	(	PUNCT
bibechana-70637	6	26	svr	svr	PROPN
bibechana-70637	6	27	)	)	PUNCT
bibechana-70637	6	28	models	model	NOUN
bibechana-70637	6	29	were	be	AUX
bibechana-70637	6	30	employed	employ	VERB
bibechana-70637	6	31	to	to	PART
bibechana-70637	6	32	predict	predict	VERB
bibechana-70637	6	33	the	the	DET
bibechana-70637	6	34	magnitude	magnitude	NOUN
bibechana-70637	6	35	of	of	ADP
bibechana-70637	6	36	greater	great	ADJ
bibechana-70637	6	37	than	than	ADP
bibechana-70637	6	38	6	6	NUM
bibechana-70637	6	39	mb	mb	ADP
bibechana-70637	6	40	earthquakes	earthquake	NOUN
bibechana-70637	6	41	that	that	PRON
bibechana-70637	6	42	occurred	occur	VERB
bibechana-70637	6	43	in	in	ADP
bibechana-70637	6	44	the	the	DET
bibechana-70637	6	45	year	year	NOUN
bibechana-70637	6	46	2015	2015	NUM
bibechana-70637	6	47	in	in	ADP
bibechana-70637	6	48	the	the	DET
bibechana-70637	6	49	central	central	ADJ
bibechana-70637	6	50	himalaya	himalaya	PROPN
bibechana-70637	6	51	.	.	PUNCT
bibechana-70637	7	1	we	we	PRON
bibechana-70637	7	2	noticed	notice	VERB
bibechana-70637	7	3	rfr	rfr	PROPN
bibechana-70637	7	4	method	method	NOUN
bibechana-70637	7	5	had	have	AUX
bibechana-70637	7	6	been	be	AUX
bibechana-70637	7	7	able	able	ADJ
bibechana-70637	7	8	to	to	PART
bibechana-70637	7	9	predict	predict	VERB
bibechana-70637	7	10	the	the	DET
bibechana-70637	7	11	magnitude	magnitude	NOUN
bibechana-70637	7	12	of	of	ADP
bibechana-70637	7	13	the	the	DET
bibechana-70637	7	14	gorkha	gorkha	ADJ
bibechana-70637	7	15	earthquake	earthquake	NOUN
bibechana-70637	7	16	(	(	PUNCT
bibechana-70637	7	17	6.9	6.9	NUM
bibechana-70637	7	18	mb	mb	NOUN
bibechana-70637	7	19	)	)	PUNCT
bibechana-70637	7	20	,	,	PUNCT
bibechana-70637	7	21	the	the	DET
bibechana-70637	7	22	kodari	kodari	ADJ
bibechana-70637	7	23	earthquake	earthquake	NOUN
bibechana-70637	7	24	(	(	PUNCT
bibechana-70637	7	25	6.7	6.7	NUM
bibechana-70637	7	26	mb	mb	NOUN
bibechana-70637	7	27	)	)	PUNCT
bibechana-70637	7	28	,	,	PUNCT
bibechana-70637	7	29	and	and	CCONJ
bibechana-70637	7	30	6.5	6.5	NUM
bibechana-70637	7	31	mb	mb	NOUN
bibechana-70637	7	32	magnitude	magnitude	NOUN
bibechana-70637	7	33	earthquake	earthquake	NOUN
bibechana-70637	7	34	(	(	PUNCT
bibechana-70637	7	35	aftershock	aftershock	NOUN
bibechana-70637	7	36	of	of	ADP
bibechana-70637	7	37	gorkha	gorkha	ADJ
bibechana-70637	7	38	earthquake	earthquake	NOUN
bibechana-70637	7	39	)	)	PUNCT
bibechana-70637	7	40	in	in	ADP
bibechana-70637	7	41	comparison	comparison	NOUN
bibechana-70637	7	42	with	with	ADP
bibechana-70637	7	43	the	the	DET
bibechana-70637	7	44	other	other	ADJ
bibechana-70637	7	45	two	two	NUM
bibechana-70637	7	46	models	model	NOUN
bibechana-70637	7	47	.	.	PUNCT
bibechana-70637	8	1	we	we	PRON
bibechana-70637	8	2	also	also	ADV
bibechana-70637	8	3	checked	check	VERB
bibechana-70637	8	4	the	the	DET
bibechana-70637	8	5	performance	performance	NOUN
bibechana-70637	8	6	of	of	ADP
bibechana-70637	8	7	these	these	DET
bibechana-70637	8	8	models	model	NOUN
bibechana-70637	8	9	by	by	ADP
bibechana-70637	8	10	three	three	NUM
bibechana-70637	8	11	parameters	parameter	NOUN
bibechana-70637	8	12	mean	mean	VERB
bibechana-70637	8	13	absolute	absolute	ADJ
bibechana-70637	8	14	error	error	NOUN
bibechana-70637	8	15	(	(	PUNCT
bibechana-70637	8	16	mae	mae	PROPN
bibechana-70637	8	17	)	)	PUNCT
bibechana-70637	8	18	,	,	PUNCT
bibechana-70637	8	19	mean	mean	VERB
bibechana-70637	8	20	squared	square	VERB
bibechana-70637	8	21	error	error	NOUN
bibechana-70637	8	22	(	(	PUNCT
bibechana-70637	8	23	mse	mse	NOUN
bibechana-70637	8	24	)	)	PUNCT
bibechana-70637	8	25	,	,	PUNCT
bibechana-70637	8	26	and	and	CCONJ
bibechana-70637	8	27	root	root	NOUN
bibechana-70637	8	28	mean	mean	VERB
bibechana-70637	8	29	squared	square	VERB
bibechana-70637	8	30	error	error	NOUN
bibechana-70637	8	31	(	(	PUNCT
bibechana-70637	8	32	rmse	rmse	NOUN
bibechana-70637	8	33	)	)	PUNCT
bibechana-70637	8	34	and	and	CCONJ
bibechana-70637	8	35	noticed	notice	VERB
bibechana-70637	8	36	the	the	DET
bibechana-70637	8	37	better	well	ADJ
bibechana-70637	8	38	performance	performance	NOUN
bibechana-70637	8	39	of	of	ADP
bibechana-70637	8	40	rfr	rfr	PROPN
bibechana-70637	8	41	model	model	NOUN
bibechana-70637	8	42	.	.	PUNCT
bibechana-70637	9	1	the	the	DET
bibechana-70637	9	2	findings	finding	NOUN
bibechana-70637	9	3	illustrate	illustrate	VERB
bibechana-70637	9	4	that	that	SCONJ
bibechana-70637	9	5	rfr	rfr	PROPN
bibechana-70637	9	6	is	be	AUX
bibechana-70637	9	7	achieving	achieve	VERB
bibechana-70637	9	8	better	well	ADJ
bibechana-70637	9	9	performance	performance	NOUN
bibechana-70637	9	10	than	than	ADP
bibechana-70637	9	11	the	the	DET
bibechana-70637	9	12	other	other	ADJ
bibechana-70637	9	13	two	two	NUM
bibechana-70637	9	14	algorithms	algorithm	NOUN
bibechana-70637	9	15	,	,	PUNCT
bibechana-70637	9	16	as	as	SCONJ
bibechana-70637	9	17	the	the	DET
bibechana-70637	9	18	predicted	predict	VERB
bibechana-70637	9	19	magnitudes	magnitude	NOUN
bibechana-70637	9	20	are	be	AUX
bibechana-70637	9	21	close	close	ADJ
bibechana-70637	9	22	to	to	ADP
bibechana-70637	9	23	the	the	DET
bibechana-70637	9	24	actual	actual	ADJ
bibechana-70637	9	25	magnitudes	magnitude	NOUN
bibechana-70637	9	26	.	.	PUNCT
bibechana-70637	10	1	keywords	keyword	VERB
bibechana-70637	10	2	machine	machine	NOUN
bibechana-70637	10	3	learning	learning	NOUN
bibechana-70637	10	4	,	,	PUNCT
bibechana-70637	10	5	earthquake	earthquake	NOUN
bibechana-70637	10	6	,	,	PUNCT
bibechana-70637	10	7	regressor	regressor	NOUN
bibechana-70637	10	8	,	,	PUNCT
bibechana-70637	10	9	prediction	prediction	NOUN
bibechana-70637	10	10	.	.	PUNCT
bibechana-70637	11	1	article	article	NOUN
bibechana-70637	11	2	information	information	PROPN
bibechana-70637	11	3	manuscript	manuscript	PROPN
bibechana-70637	11	4	received	receive	VERB
bibechana-70637	11	5	:	:	PUNCT
bibechana-70637	11	6	october	october	PROPN
bibechana-70637	11	7	6	6	NUM
bibechana-70637	11	8	,	,	PUNCT
bibechana-70637	11	9	2024	2024	NUM
bibechana-70637	11	10	;	;	PUNCT
bibechana-70637	11	11	revised	revise	VERB
bibechana-70637	11	12	:	:	PUNCT
bibechana-70637	11	13	january	january	PROPN
bibechana-70637	11	14	7	7	NUM
bibechana-70637	11	15	,	,	PUNCT
bibechana-70637	11	16	2025	2025	NUM
bibechana-70637	11	17	;	;	PUNCT
bibechana-70637	11	18	accepted	accept	VERB
bibechana-70637	11	19	:	:	PUNCT
bibechana-70637	11	20	january	january	PROPN
bibechana-70637	11	21	12	12	NUM
bibechana-70637	11	22	,	,	PUNCT
bibechana-70637	11	23	2025	2025	NUM
bibechana-70637	11	24	doi	doi	X
bibechana-70637	11	25	https://doi.org/10.3126/bibechana.v22i1.70637	https://doi.org/10.3126/bibechana.v22i1.70637	PRON
bibechana-70637	12	1	this	this	DET
bibechana-70637	12	2	work	work	NOUN
bibechana-70637	12	3	is	be	AUX
bibechana-70637	12	4	licensed	license	VERB
bibechana-70637	12	5	under	under	ADP
bibechana-70637	12	6	the	the	DET
bibechana-70637	12	7	creative	creative	ADJ
bibechana-70637	12	8	commons	common	NOUN
bibechana-70637	12	9	cc	cc	ADP
bibechana-70637	12	10	by	by	ADP
bibechana-70637	12	11	-	-	PUNCT
bibechana-70637	12	12	nc	nc	NOUN
bibechana-70637	12	13	license	license	NOUN
bibechana-70637	12	14	.	.	PUNCT
bibechana-70637	13	1	https://creativecommons	https://creativecommon	NOUN
bibechana-70637	13	2	.	.	PUNCT
bibechana-70637	13	3	org	org	ADJ
bibechana-70637	13	4	/	/	SYM
bibechana-70637	13	5	licenses	license	NOUN
bibechana-70637	13	6	/	/	SYM
bibechana-70637	13	7	by	by	ADP
bibechana-70637	13	8	-	-	PUNCT
bibechana-70637	13	9	nc/4.0/	nc/4.0/	NOUN
bibechana-70637	13	10	1	1	NUM
bibechana-70637	13	11	introduction	introduction	NOUN
bibechana-70637	13	12	an	an	DET
bibechana-70637	13	13	earthquake	earthquake	NOUN
bibechana-70637	13	14	is	be	AUX
bibechana-70637	13	15	a	a	DET
bibechana-70637	13	16	natural	natural	ADJ
bibechana-70637	13	17	disaster	disaster	NOUN
bibechana-70637	13	18	that	that	PRON
bibechana-70637	13	19	strikes	strike	VERB
bibechana-70637	13	20	suddenly	suddenly	ADV
bibechana-70637	13	21	,	,	PUNCT
bibechana-70637	13	22	between	between	ADP
bibechana-70637	13	23	seconds	second	NOUN
bibechana-70637	13	24	to	to	ADP
bibechana-70637	13	25	minutes	minute	NOUN
bibechana-70637	13	26	,	,	PUNCT
bibechana-70637	13	27	and	and	CCONJ
bibechana-70637	13	28	shakes	shake	VERB
bibechana-70637	13	29	a	a	DET
bibechana-70637	13	30	large	large	ADJ
bibechana-70637	13	31	area	area	NOUN
bibechana-70637	13	32	of	of	ADP
bibechana-70637	13	33	landmass	landmass	NOUN
bibechana-70637	13	34	,	,	PUNCT
bibechana-70637	13	35	potentially	potentially	ADV
bibechana-70637	13	36	killing	kill	VERB
bibechana-70637	13	37	people	people	NOUN
bibechana-70637	13	38	and	and	CCONJ
bibechana-70637	13	39	damaging	damage	VERB
bibechana-70637	13	40	property	property	NOUN
bibechana-70637	13	41	.	.	PUNCT
bibechana-70637	14	1	nepal	nepal	PROPN
bibechana-70637	14	2	,	,	PUNCT
bibechana-70637	14	3	which	which	PRON
bibechana-70637	14	4	is	be	AUX
bibechana-70637	14	5	positioned	position	VERB
bibechana-70637	14	6	in	in	ADP
bibechana-70637	14	7	the	the	DET
bibechana-70637	14	8	center	center	NOUN
bibechana-70637	14	9	of	of	ADP
bibechana-70637	14	10	the	the	DET
bibechana-70637	14	11	himalayan	himalayan	ADJ
bibechana-70637	14	12	arc	arc	NOUN
bibechana-70637	14	13	,	,	PUNCT
bibechana-70637	14	14	saw	see	VERB
bibechana-70637	14	15	many	many	ADJ
bibechana-70637	14	16	small	small	ADJ
bibechana-70637	14	17	and	and	CCONJ
bibechana-70637	14	18	large	large	ADJ
bibechana-70637	14	19	earthquakes	earthquake	NOUN
bibechana-70637	14	20	in	in	ADP
bibechana-70637	14	21	last	last	ADJ
bibechana-70637	14	22	millennia	millennia	NOUN
bibechana-70637	15	1	[	[	X
bibechana-70637	15	2	1–5	1–5	X
bibechana-70637	15	3	]	]	X
bibechana-70637	15	4	.	.	PUNCT
bibechana-70637	16	1	the	the	DET
bibechana-70637	16	2	seismic	seismic	ADJ
bibechana-70637	16	3	activity	activity	NOUN
bibechana-70637	16	4	in	in	ADP
bibechana-70637	16	5	the	the	DET
bibechana-70637	16	6	himalayan	himalayan	ADJ
bibechana-70637	16	7	region	region	NOUN
bibechana-70637	16	8	is	be	AUX
bibechana-70637	16	9	impacted	impact	VERB
bibechana-70637	16	10	by	by	ADP
bibechana-70637	16	11	the	the	DET
bibechana-70637	16	12	buildup	buildup	NOUN
bibechana-70637	16	13	of	of	ADP
bibechana-70637	16	14	strain	strain	ADJ
bibechana-70637	16	15	energy	energy	NOUN
bibechana-70637	16	16	that	that	PRON
bibechana-70637	16	17	happened	happen	VERB
bibechana-70637	16	18	roughly	roughly	ADV
bibechana-70637	16	19	50	50	NUM
bibechana-70637	16	20	million	million	NUM
bibechana-70637	16	21	years	year	NOUN
bibechana-70637	16	22	ago	ago	ADV
bibechana-70637	16	23	during	during	ADP
bibechana-70637	16	24	the	the	DET
bibechana-70637	16	25	indian	indian	ADJ
bibechana-70637	16	26	plate	plate	NOUN
bibechana-70637	16	27	's	's	PART
bibechana-70637	16	28	thrust	thrust	NOUN
bibechana-70637	16	29	beneath	beneath	ADP
bibechana-70637	16	30	the	the	DET
bibechana-70637	16	31	eurasian	eurasian	ADJ
bibechana-70637	16	32	plate	plate	NOUN
bibechana-70637	17	1	[	[	X
bibechana-70637	17	2	6–8	6–8	X
bibechana-70637	17	3	]	]	X
bibechana-70637	17	4	.	.	PUNCT
bibechana-70637	18	1	22	22	NUM
bibechana-70637	18	2	http://nepjol.info/index.php/bibechana	http://nepjol.info/index.php/bibechana	NOUN
bibechana-70637	18	3	ram.tiwari@bimc.tu.edu.np	ram.tiwari@bimc.tu.edu.np	PROPN
bibechana-70637	18	4	https://doi.org/10.3126/bibechana.v22i1.70637	https://doi.org/10.3126/bibechana.v22i1.70637	PROPN
bibechana-70637	18	5	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PROPN
bibechana-70637	18	6	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	PRON
bibechana-70637	18	7	ram	ram	NOUN
bibechana-70637	18	8	krishna	krishna	PROPN
bibechana-70637	18	9	tiwari	tiwari	PROPN
bibechana-70637	18	10	et	et	PROPN
bibechana-70637	18	11	al./	al./	ADV
bibechana-70637	18	12	bibechana	bibechana	PROPN
bibechana-70637	18	13	22	22	NUM
bibechana-70637	18	14	(	(	PUNCT
bibechana-70637	18	15	2025	2025	NUM
bibechana-70637	18	16	)	)	PUNCT
bibechana-70637	18	17	22	22	NUM
bibechana-70637	18	18	-	-	SYM
bibechana-70637	18	19	29	29	NUM
bibechana-70637	18	20	23	23	NUM
bibechana-70637	18	21	the	the	DET
bibechana-70637	18	22	region	region	NOUN
bibechana-70637	18	23	has	have	AUX
bibechana-70637	18	24	had	have	VERB
bibechana-70637	18	25	more	more	ADJ
bibechana-70637	18	26	recent	recent	ADJ
bibechana-70637	18	27	earthquakes	earthquake	NOUN
bibechana-70637	18	28	in	in	ADP
bibechana-70637	18	29	the	the	DET
bibechana-70637	18	30	past	past	ADJ
bibechana-70637	18	31	70	70	NUM
bibechana-70637	18	32	years	year	NOUN
bibechana-70637	18	33	,	,	PUNCT
bibechana-70637	18	34	including	include	VERB
bibechana-70637	18	35	the	the	DET
bibechana-70637	18	36	1988	1988	NUM
bibechana-70637	18	37	udayapur	udayapur	PROPN
bibechana-70637	18	38	earthquake	earthquake	NOUN
bibechana-70637	18	39	of	of	ADP
bibechana-70637	18	40	magnitude	magnitude	NOUN
bibechana-70637	18	41	6.6	6.6	NUM
bibechana-70637	18	42	mw	mw	NOUN
bibechana-70637	18	43	,	,	PUNCT
bibechana-70637	18	44	2011	2011	NUM
bibechana-70637	18	45	sikkim	sikkim	PROPN
bibechana-70637	18	46	earthquake	earthquake	NOUN
bibechana-70637	18	47	of	of	ADP
bibechana-70637	18	48	magnitude	magnitude	PROPN
bibechana-70637	18	49	6.9	6.9	NUM
bibechana-70637	18	50	mw	mw	NOUN
bibechana-70637	18	51	,	,	PUNCT
bibechana-70637	18	52	2015	2015	NUM
bibechana-70637	18	53	gorkha	gorkha	ADJ
bibechana-70637	18	54	earthquake	earthquake	NOUN
bibechana-70637	18	55	of	of	ADP
bibechana-70637	18	56	magnitude	magnitude	NOUN
bibechana-70637	18	57	7.9	7.9	NUM
bibechana-70637	18	58	mw	mw	NOUN
bibechana-70637	18	59	,	,	PUNCT
bibechana-70637	18	60	dolakha	dolakha	ADJ
bibechana-70637	18	61	(	(	PUNCT
bibechana-70637	18	62	kodari	kodari	NOUN
bibechana-70637	18	63	)	)	PUNCT
bibechana-70637	18	64	earthquake	earthquake	NOUN
bibechana-70637	18	65	of	of	ADP
bibechana-70637	18	66	magnitude	magnitude	NOUN
bibechana-70637	18	67	7.3	7.3	NUM
bibechana-70637	18	68	mw	mw	NOUN
bibechana-70637	18	69	,	,	PUNCT
bibechana-70637	18	70	doti	doti	NOUN
bibechana-70637	18	71	earthquake	earthquake	NOUN
bibechana-70637	18	72	of	of	ADP
bibechana-70637	18	73	magnitude	magnitude	NOUN
bibechana-70637	18	74	6.6	6.6	NUM
bibechana-70637	18	75	ml	ml	NOUN
bibechana-70637	18	76	,	,	PUNCT
bibechana-70637	18	77	and	and	CCONJ
bibechana-70637	18	78	the	the	DET
bibechana-70637	18	79	2023	2023	NUM
bibechana-70637	18	80	jajarkot	jajarkot	NOUN
bibechana-70637	18	81	earthquake	earthquake	NOUN
bibechana-70637	18	82	of	of	ADP
bibechana-70637	18	83	magnitude	magnitude	NOUN
bibechana-70637	18	84	6.4	6.4	NUM
bibechana-70637	18	85	ml	ml	NOUN
bibechana-70637	19	1	[	[	X
bibechana-70637	19	2	8–10	8–10	NOUN
bibechana-70637	19	3	]	]	PUNCT
bibechana-70637	19	4	.	.	PUNCT
bibechana-70637	20	1	human	human	ADJ
bibechana-70637	20	2	intervention	intervention	NOUN
bibechana-70637	20	3	can	can	AUX
bibechana-70637	20	4	not	not	PART
bibechana-70637	20	5	halt	halt	VERB
bibechana-70637	20	6	natural	natural	ADJ
bibechana-70637	20	7	disasters	disaster	NOUN
bibechana-70637	20	8	like	like	ADP
bibechana-70637	20	9	earthquakes	earthquake	NOUN
bibechana-70637	20	10	,	,	PUNCT
bibechana-70637	20	11	but	but	CCONJ
bibechana-70637	20	12	machine	machine	NOUN
bibechana-70637	20	13	learning	learn	VERB
bibechana-70637	20	14	application	application	NOUN
bibechana-70637	20	15	expertise	expertise	NOUN
bibechana-70637	20	16	can	can	AUX
bibechana-70637	20	17	be	be	AUX
bibechana-70637	20	18	utilized	utilize	VERB
bibechana-70637	20	19	to	to	PART
bibechana-70637	20	20	detect	detect	VERB
bibechana-70637	20	21	patterns	pattern	NOUN
bibechana-70637	20	22	in	in	ADP
bibechana-70637	20	23	data	datum	NOUN
bibechana-70637	20	24	and	and	CCONJ
bibechana-70637	20	25	increase	increase	VERB
bibechana-70637	20	26	understanding	understanding	NOUN
bibechana-70637	20	27	and	and	CCONJ
bibechana-70637	20	28	predictive	predictive	ADJ
bibechana-70637	20	29	power	power	NOUN
bibechana-70637	20	30	[	[	X
bibechana-70637	20	31	11–13	11–13	NUM
bibechana-70637	20	32	]	]	X
bibechana-70637	20	33	.	.	PUNCT
bibechana-70637	21	1	most	most	ADJ
bibechana-70637	21	2	of	of	ADP
bibechana-70637	21	3	the	the	DET
bibechana-70637	21	4	machine	machine	NOUN
bibechana-70637	21	5	learning	learning	NOUN
bibechana-70637	21	6	(	(	PUNCT
bibechana-70637	21	7	ml	ml	NOUN
bibechana-70637	21	8	)	)	PUNCT
bibechana-70637	21	9	algorithms	algorithm	NOUN
bibechana-70637	21	10	fall	fall	VERB
bibechana-70637	21	11	into	into	ADP
bibechana-70637	21	12	one	one	NUM
bibechana-70637	21	13	of	of	ADP
bibechana-70637	21	14	two	two	NUM
bibechana-70637	21	15	categories	category	NOUN
bibechana-70637	21	16	:	:	PUNCT
bibechana-70637	21	17	supervised	supervised	ADJ
bibechana-70637	21	18	learning	learning	NOUN
bibechana-70637	21	19	(	(	PUNCT
bibechana-70637	21	20	sl	sl	NOUN
bibechana-70637	21	21	)	)	PUNCT
bibechana-70637	21	22	and	and	CCONJ
bibechana-70637	21	23	unsupervised	unsupervised	ADJ
bibechana-70637	21	24	learning	learning	NOUN
bibechana-70637	21	25	(	(	PUNCT
bibechana-70637	21	26	usl	usl	PROPN
bibechana-70637	21	27	)	)	PUNCT
bibechana-70637	21	28	(	(	PUNCT
bibechana-70637	21	29	figure	figure	NOUN
bibechana-70637	21	30	1	1	NUM
bibechana-70637	21	31	)	)	PUNCT
bibechana-70637	21	32	.	.	PUNCT
bibechana-70637	22	1	figure	figure	VERB
bibechana-70637	22	2	1	1	NUM
bibechana-70637	22	3	:	:	PUNCT
bibechana-70637	22	4	basic	basic	ADJ
bibechana-70637	22	5	idea	idea	NOUN
bibechana-70637	22	6	of	of	ADP
bibechana-70637	22	7	selecting	select	VERB
bibechana-70637	22	8	the	the	DET
bibechana-70637	22	9	ml	ml	NOUN
bibechana-70637	22	10	algorithms	algorithm	NOUN
bibechana-70637	22	11	.	.	PUNCT
bibechana-70637	23	1	unsupervised	unsupervised	ADJ
bibechana-70637	23	2	ml	ml	NOUN
bibechana-70637	23	3	for	for	ADP
bibechana-70637	23	4	unlabelled	unlabelled	ADJ
bibechana-70637	23	5	data	datum	NOUN
bibechana-70637	23	6	,	,	PUNCT
bibechana-70637	23	7	and	and	CCONJ
bibechana-70637	23	8	supervised	supervise	VERB
bibechana-70637	23	9	ml	ml	NOUN
bibechana-70637	23	10	for	for	ADP
bibechana-70637	23	11	labelled	label	VERB
bibechana-70637	23	12	data	datum	NOUN
bibechana-70637	23	13	.	.	PUNCT
bibechana-70637	24	1	in	in	ADP
bibechana-70637	24	2	sl	sl	NOUN
bibechana-70637	24	3	,	,	PUNCT
bibechana-70637	24	4	the	the	DET
bibechana-70637	24	5	computer	computer	NOUN
bibechana-70637	24	6	is	be	AUX
bibechana-70637	24	7	instructed	instruct	VERB
bibechana-70637	24	8	or	or	CCONJ
bibechana-70637	24	9	trained	train	VERB
bibechana-70637	24	10	with	with	ADP
bibechana-70637	24	11	the	the	DET
bibechana-70637	24	12	labeled	label	VERB
bibechana-70637	24	13	data	datum	NOUN
bibechana-70637	24	14	.	.	PUNCT
bibechana-70637	25	1	sl	sl	PROPN
bibechana-70637	25	2	algorithms	algorithm	NOUN
bibechana-70637	25	3	construct	construct	VERB
bibechana-70637	25	4	two	two	NUM
bibechana-70637	25	5	types	type	NOUN
bibechana-70637	25	6	of	of	ADP
bibechana-70637	25	7	predictive	predictive	ADJ
bibechana-70637	25	8	models	model	NOUN
bibechana-70637	25	9	,	,	PUNCT
bibechana-70637	25	10	regression	regression	NOUN
bibechana-70637	25	11	and	and	CCONJ
bibechana-70637	25	12	classification	classification	NOUN
bibechana-70637	25	13	models	model	NOUN
bibechana-70637	25	14	which	which	PRON
bibechana-70637	25	15	approaches	approach	VERB
bibechana-70637	25	16	data	datum	NOUN
bibechana-70637	25	17	in	in	ADP
bibechana-70637	25	18	a	a	DET
bibechana-70637	25	19	different	different	ADJ
bibechana-70637	25	20	way	way	NOUN
bibechana-70637	25	21	.	.	PUNCT
bibechana-70637	26	1	for	for	ADP
bibechana-70637	26	2	forecasting	forecast	VERB
bibechana-70637	26	3	a	a	DET
bibechana-70637	26	4	numerical	numerical	ADJ
bibechana-70637	26	5	value	value	NOUN
bibechana-70637	26	6	,	,	PUNCT
bibechana-70637	26	7	regression	regression	NOUN
bibechana-70637	26	8	model	model	NOUN
bibechana-70637	26	9	is	be	AUX
bibechana-70637	26	10	used	use	VERB
bibechana-70637	26	11	.	.	PUNCT
bibechana-70637	27	1	usl	usl	PROPN
bibechana-70637	27	2	includes	include	VERB
bibechana-70637	27	3	utilizing	utilize	VERB
bibechana-70637	27	4	an	an	DET
bibechana-70637	27	5	unlabeled	unlabele	VERB
bibechana-70637	27	6	dataset	dataset	NOUN
bibechana-70637	27	7	to	to	PART
bibechana-70637	27	8	train	train	VERB
bibechana-70637	27	9	the	the	DET
bibechana-70637	27	10	computer	computer	NOUN
bibechana-70637	27	11	,	,	PUNCT
bibechana-70637	27	12	after	after	ADP
bibechana-70637	27	13	which	which	PRON
bibechana-70637	27	14	it	it	PRON
bibechana-70637	27	15	uses	use	VERB
bibechana-70637	27	16	its	its	PRON
bibechana-70637	27	17	own	own	ADJ
bibechana-70637	27	18	judgment	judgment	NOUN
bibechana-70637	27	19	to	to	PART
bibechana-70637	27	20	anticipate	anticipate	VERB
bibechana-70637	27	21	outputs	output	NOUN
bibechana-70637	27	22	.	.	PUNCT
bibechana-70637	28	1	the	the	DET
bibechana-70637	28	2	primary	primary	ADJ
bibechana-70637	28	3	goal	goal	NOUN
bibechana-70637	28	4	of	of	ADP
bibechana-70637	28	5	unsupervised	unsupervised	ADJ
bibechana-70637	28	6	learning	learning	NOUN
bibechana-70637	28	7	is	be	AUX
bibechana-70637	28	8	to	to	PART
bibechana-70637	28	9	categorize	categorize	VERB
bibechana-70637	28	10	or	or	CCONJ
bibechana-70637	28	11	group	group	VERB
bibechana-70637	28	12	the	the	DET
bibechana-70637	28	13	unsorted	unsorted	ADJ
bibechana-70637	28	14	dataset	dataset	NOUN
bibechana-70637	28	15	according	accord	VERB
bibechana-70637	28	16	to	to	ADP
bibechana-70637	28	17	similarities	similarity	NOUN
bibechana-70637	28	18	,	,	PUNCT
bibechana-70637	28	19	differences	difference	NOUN
bibechana-70637	28	20	,	,	PUNCT
bibechana-70637	28	21	and	and	CCONJ
bibechana-70637	28	22	patterns	pattern	NOUN
bibechana-70637	28	23	.	.	PUNCT
bibechana-70637	29	1	the	the	DET
bibechana-70637	29	2	machines	machine	NOUN
bibechana-70637	29	3	are	be	AUX
bibechana-70637	29	4	to	to	PART
bibechana-70637	29	5	find	find	VERB
bibechana-70637	29	6	the	the	DET
bibechana-70637	29	7	hidden	hide	VERB
bibechana-70637	29	8	patterns	pattern	NOUN
bibechana-70637	29	9	in	in	ADP
bibechana-70637	29	10	the	the	DET
bibechana-70637	29	11	input	input	NOUN
bibechana-70637	29	12	dataset	dataset	VERB
bibechana-70637	29	13	[	[	X
bibechana-70637	29	14	14	14	NUM
bibechana-70637	29	15	]	]	PUNCT
bibechana-70637	29	16	.	.	PUNCT
bibechana-70637	30	1	in	in	ADP
bibechana-70637	30	2	contrast	contrast	NOUN
bibechana-70637	30	3	to	to	ADP
bibechana-70637	30	4	traditional	traditional	ADJ
bibechana-70637	30	5	methodologies	methodology	NOUN
bibechana-70637	30	6	,	,	PUNCT
bibechana-70637	30	7	machine	machine	NOUN
bibechana-70637	30	8	learning	learning	NOUN
bibechana-70637	30	9	(	(	PUNCT
bibechana-70637	30	10	ml	ml	NOUN
bibechana-70637	30	11	)	)	PUNCT
bibechana-70637	30	12	models	model	NOUN
bibechana-70637	30	13	offer	offer	VERB
bibechana-70637	30	14	a	a	DET
bibechana-70637	30	15	fresh	fresh	ADJ
bibechana-70637	30	16	and	and	CCONJ
bibechana-70637	30	17	creative	creative	ADJ
bibechana-70637	30	18	way	way	NOUN
bibechana-70637	30	19	to	to	PART
bibechana-70637	30	20	find	find	VERB
bibechana-70637	30	21	hidden	hidden	ADJ
bibechana-70637	30	22	signals	signal	NOUN
bibechana-70637	30	23	and	and	CCONJ
bibechana-70637	30	24	patterns	pattern	NOUN
bibechana-70637	30	25	.	.	PUNCT
bibechana-70637	31	1	this	this	DET
bibechana-70637	31	2	development	development	NOUN
bibechana-70637	31	3	covers	cover	VERB
bibechana-70637	31	4	a	a	DET
bibechana-70637	31	5	wide	wide	ADJ
bibechana-70637	31	6	range	range	NOUN
bibechana-70637	31	7	of	of	ADP
bibechana-70637	31	8	seismic	seismic	ADJ
bibechana-70637	31	9	applications	application	NOUN
bibechana-70637	31	10	,	,	PUNCT
bibechana-70637	31	11	such	such	ADJ
bibechana-70637	31	12	as	as	ADP
bibechana-70637	31	13	earthquake	earthquake	NOUN
bibechana-70637	31	14	detection	detection	NOUN
bibechana-70637	31	15	and	and	CCONJ
bibechana-70637	31	16	phase	phase	NOUN
bibechana-70637	31	17	identification	identification	NOUN
bibechana-70637	31	18	,	,	PUNCT
bibechana-70637	31	19	early	early	ADJ
bibechana-70637	31	20	warning	warning	NOUN
bibechana-70637	31	21	systems	system	NOUN
bibechana-70637	31	22	,	,	PUNCT
bibechana-70637	31	23	ground	ground	NOUN
bibechana-70637	31	24	motion	motion	NOUN
bibechana-70637	31	25	prediction	prediction	NOUN
bibechana-70637	31	26	,	,	PUNCT
bibechana-70637	31	27	seismic	seismic	ADJ
bibechana-70637	31	28	tomography	tomography	NOUN
bibechana-70637	31	29	,	,	PUNCT
bibechana-70637	31	30	earthquake	earthquake	NOUN
bibechana-70637	31	31	geodesy	geodesy	NOUN
bibechana-70637	31	32	,	,	PUNCT
bibechana-70637	31	33	seismic	seismic	ADJ
bibechana-70637	31	34	risk	risk	NOUN
bibechana-70637	31	35	assessment	assessment	NOUN
bibechana-70637	31	36	,	,	PUNCT
bibechana-70637	31	37	and	and	CCONJ
bibechana-70637	31	38	finally	finally	ADV
bibechana-70637	31	39	earthquake	earthquake	NOUN
bibechana-70637	31	40	prediction	prediction	NOUN
bibechana-70637	31	41	[	[	X
bibechana-70637	31	42	15,16	15,16	NUM
bibechana-70637	31	43	]	]	PUNCT
bibechana-70637	31	44	.	.	PUNCT
bibechana-70637	32	1	it	it	PRON
bibechana-70637	32	2	is	be	AUX
bibechana-70637	32	3	generally	generally	ADV
bibechana-70637	32	4	accepted	accept	VERB
bibechana-70637	32	5	that	that	SCONJ
bibechana-70637	32	6	there	there	PRON
bibechana-70637	32	7	is	be	VERB
bibechana-70637	32	8	n't	not	PART
bibechana-70637	32	9	a	a	DET
bibechana-70637	32	10	single	single	ADJ
bibechana-70637	32	11	ideal	ideal	ADJ
bibechana-70637	32	12	algorithm	algorithm	NOUN
bibechana-70637	32	13	or	or	CCONJ
bibechana-70637	32	14	machine	machine	NOUN
bibechana-70637	32	15	learning	learning	NOUN
bibechana-70637	32	16	solution	solution	NOUN
bibechana-70637	32	17	that	that	PRON
bibechana-70637	32	18	works	work	VERB
bibechana-70637	32	19	for	for	ADP
bibechana-70637	32	20	all	all	DET
bibechana-70637	32	21	situations	situation	NOUN
bibechana-70637	32	22	and	and	CCONJ
bibechana-70637	32	23	datasets	dataset	NOUN
bibechana-70637	32	24	because	because	SCONJ
bibechana-70637	32	25	algorithm	algorithm	NOUN
bibechana-70637	32	26	performance	performance	NOUN
bibechana-70637	32	27	varies	vary	VERB
bibechana-70637	32	28	on	on	ADP
bibechana-70637	32	29	a	a	DET
bibechana-70637	32	30	variety	variety	NOUN
bibechana-70637	32	31	of	of	ADP
bibechana-70637	32	32	parameters	parameter	NOUN
bibechana-70637	32	33	.	.	PUNCT
bibechana-70637	33	1	while	while	SCONJ
bibechana-70637	33	2	some	some	DET
bibechana-70637	33	3	algorithms	algorithm	NOUN
bibechana-70637	33	4	work	work	VERB
bibechana-70637	33	5	better	well	ADV
bibechana-70637	33	6	with	with	ADP
bibechana-70637	33	7	tiny	tiny	ADJ
bibechana-70637	33	8	amounts	amount	NOUN
bibechana-70637	33	9	of	of	ADP
bibechana-70637	33	10	data	datum	NOUN
bibechana-70637	33	11	,	,	PUNCT
bibechana-70637	33	12	others	other	NOUN
bibechana-70637	33	13	are	be	AUX
bibechana-70637	33	14	more	more	ADV
bibechana-70637	33	15	effective	effective	ADJ
bibechana-70637	33	16	with	with	ADP
bibechana-70637	33	17	large	large	ADJ
bibechana-70637	33	18	samples	sample	NOUN
bibechana-70637	33	19	of	of	ADP
bibechana-70637	33	20	data	datum	NOUN
bibechana-70637	33	21	.	.	PUNCT
bibechana-70637	34	1	while	while	SCONJ
bibechana-70637	34	2	some	some	DET
bibechana-70637	34	3	algorithms	algorithm	NOUN
bibechana-70637	34	4	just	just	ADV
bibechana-70637	34	5	need	need	VERB
bibechana-70637	34	6	quantitative	quantitative	ADJ
bibechana-70637	34	7	inputs	input	NOUN
bibechana-70637	34	8	,	,	PUNCT
bibechana-70637	34	9	others	other	NOUN
bibechana-70637	34	10	demand	demand	VERB
bibechana-70637	34	11	categorical	categorical	ADJ
bibechana-70637	34	12	inputs	input	NOUN
bibechana-70637	34	13	.	.	PUNCT
bibechana-70637	35	1	the	the	DET
bibechana-70637	35	2	complication	complication	NOUN
bibechana-70637	35	3	of	of	ADP
bibechana-70637	35	4	the	the	DET
bibechana-70637	35	5	data	datum	NOUN
bibechana-70637	35	6	and	and	CCONJ
bibechana-70637	35	7	the	the	DET
bibechana-70637	35	8	number	number	NOUN
bibechana-70637	35	9	of	of	ADP
bibechana-70637	35	10	features	feature	NOUN
bibechana-70637	35	11	that	that	SCONJ
bibechana-70637	35	12	the	the	DET
bibechana-70637	35	13	model	model	NOUN
bibechana-70637	35	14	needs	need	VERB
bibechana-70637	35	15	to	to	PART
bibechana-70637	35	16	understand	understand	VERB
bibechana-70637	35	17	and	and	CCONJ
bibechana-70637	35	18	make	make	VERB
bibechana-70637	35	19	predictions	prediction	NOUN
bibechana-70637	35	20	are	be	AUX
bibechana-70637	35	21	crucial	crucial	ADJ
bibechana-70637	35	22	factors	factor	NOUN
bibechana-70637	35	23	when	when	SCONJ
bibechana-70637	35	24	picking	pick	VERB
bibechana-70637	35	25	an	an	DET
bibechana-70637	35	26	algorithm	algorithm	NOUN
bibechana-70637	35	27	.	.	PUNCT
bibechana-70637	36	1	to	to	PART
bibechana-70637	36	2	account	account	VERB
bibechana-70637	36	3	for	for	ADP
bibechana-70637	36	4	this	this	PRON
bibechana-70637	36	5	,	,	PUNCT
bibechana-70637	36	6	three	three	NUM
bibechana-70637	36	7	distinct	distinct	ADJ
bibechana-70637	36	8	algorithms	algorithm	NOUN
bibechana-70637	36	9	namely	namely	ADV
bibechana-70637	36	10	,	,	PUNCT
bibechana-70637	36	11	random	random	ADJ
bibechana-70637	36	12	forest	forest	NOUN
bibechana-70637	36	13	regressor	regressor	NOUN
bibechana-70637	36	14	(	(	PUNCT
bibechana-70637	36	15	rfr	rfr	PROPN
bibechana-70637	36	16	)	)	PUNCT
bibechana-70637	36	17	,	,	PUNCT
bibechana-70637	36	18	support	support	NOUN
bibechana-70637	36	19	vector	vector	NOUN
bibechana-70637	36	20	regressor	regressor	NOUN
bibechana-70637	36	21	(	(	PUNCT
bibechana-70637	36	22	svr	svr	PROPN
bibechana-70637	36	23	)	)	PUNCT
bibechana-70637	36	24	,	,	PUNCT
bibechana-70637	36	25	multi	multi	ADJ
bibechana-70637	36	26	-	-	ADJ
bibechana-70637	36	27	layer	layer	ADJ
bibechana-70637	36	28	perceptron	perceptron	PROPN
bibechana-70637	36	29	regressor	regressor	PROPN
bibechana-70637	36	30	(	(	PUNCT
bibechana-70637	36	31	mlpr	mlpr	PROPN
bibechana-70637	36	32	)	)	PUNCT
bibechana-70637	36	33	have	have	AUX
bibechana-70637	36	34	been	be	AUX
bibechana-70637	36	35	used	use	VERB
bibechana-70637	36	36	in	in	ADP
bibechana-70637	36	37	this	this	DET
bibechana-70637	36	38	work	work	NOUN
bibechana-70637	36	39	to	to	PART
bibechana-70637	36	40	analyse	analyse	VERB
bibechana-70637	36	41	an	an	DET
bibechana-70637	36	42	earthquake	earthquake	NOUN
bibechana-70637	36	43	dataset	dataset	VERB
bibechana-70637	37	1	[	[	X
bibechana-70637	37	2	17	17	NUM
bibechana-70637	37	3	]	]	PUNCT
bibechana-70637	37	4	.	.	PUNCT
bibechana-70637	38	1	different	different	ADJ
bibechana-70637	38	2	hyper	hyper	ADJ
bibechana-70637	38	3	parameters	parameter	NOUN
bibechana-70637	38	4	have	have	AUX
bibechana-70637	38	5	been	be	AUX
bibechana-70637	38	6	looked	look	VERB
bibechana-70637	38	7	at	at	ADP
bibechana-70637	38	8	for	for	ADP
bibechana-70637	38	9	each	each	DET
bibechana-70637	38	10	model	model	NOUN
bibechana-70637	38	11	that	that	PRON
bibechana-70637	38	12	has	have	AUX
bibechana-70637	38	13	been	be	AUX
bibechana-70637	38	14	selected	select	VERB
bibechana-70637	38	15	,	,	PUNCT
bibechana-70637	38	16	and	and	CCONJ
bibechana-70637	38	17	the	the	DET
bibechana-70637	38	18	predicted	predict	VERB
bibechana-70637	38	19	results	result	NOUN
bibechana-70637	38	20	have	have	AUX
bibechana-70637	38	21	been	be	AUX
bibechana-70637	38	22	equitably	equitably	ADV
bibechana-70637	38	23	assessed	assess	VERB
bibechana-70637	38	24	with	with	ADP
bibechana-70637	38	25	metrics	metric	NOUN
bibechana-70637	38	26	like	like	ADP
bibechana-70637	38	27	mean	mean	VERB
bibechana-70637	38	28	square	square	ADJ
bibechana-70637	38	29	error	error	NOUN
bibechana-70637	38	30	(	(	PUNCT
bibechana-70637	38	31	mse	mse	NOUN
bibechana-70637	38	32	)	)	PUNCT
bibechana-70637	38	33	,	,	PUNCT
bibechana-70637	39	1	root	root	NOUN
bibechana-70637	39	2	mean	mean	NOUN
bibechana-70637	39	3	square	square	PROPN
bibechana-70637	39	4	(	(	PUNCT
bibechana-70637	39	5	rmse	rmse	ADJ
bibechana-70637	39	6	and	and	CCONJ
bibechana-70637	39	7	mean	mean	VERB
bibechana-70637	39	8	absolute	absolute	ADJ
bibechana-70637	39	9	error	error	NOUN
bibechana-70637	39	10	(	(	PUNCT
bibechana-70637	39	11	mae	mae	PROPN
bibechana-70637	39	12	)	)	PUNCT
bibechana-70637	39	13	.	.	PUNCT
bibechana-70637	40	1	1.1	1.1	NUM
bibechana-70637	40	2	random	random	ADJ
bibechana-70637	40	3	forest	forest	NOUN
bibechana-70637	40	4	a	a	DET
bibechana-70637	40	5	random	random	ADJ
bibechana-70637	40	6	forest	forest	NOUN
bibechana-70637	40	7	algorithm	algorithm	NOUN
bibechana-70637	40	8	builds	build	VERB
bibechana-70637	40	9	a	a	DET
bibechana-70637	40	10	forest	forest	NOUN
bibechana-70637	40	11	from	from	ADP
bibechana-70637	40	12	many	many	ADJ
bibechana-70637	40	13	separate	separate	ADJ
bibechana-70637	40	14	decision	decision	NOUN
bibechana-70637	40	15	trees	tree	NOUN
bibechana-70637	40	16	,	,	PUNCT
bibechana-70637	40	17	and	and	CCONJ
bibechana-70637	40	18	chooses	choose	VERB
bibechana-70637	40	19	the	the	DET
bibechana-70637	40	20	outcome	outcome	NOUN
bibechana-70637	40	21	based	base	VERB
bibechana-70637	40	22	on	on	ADP
bibechana-70637	40	23	the	the	DET
bibechana-70637	40	24	predictions	prediction	NOUN
bibechana-70637	40	25	offered	offer	VERB
bibechana-70637	40	26	by	by	ADP
bibechana-70637	40	27	them	they	PRON
bibechana-70637	40	28	.	.	PUNCT
bibechana-70637	41	1	the	the	DET
bibechana-70637	41	2	decision	decision	NOUN
bibechana-70637	41	3	nodes	node	NOUN
bibechana-70637	41	4	,	,	PUNCT
bibechana-70637	41	5	leaf	leaf	NOUN
bibechana-70637	41	6	nodes	node	NOUN
bibechana-70637	41	7	,	,	PUNCT
bibechana-70637	41	8	and	and	CCONJ
bibechana-70637	41	9	root	root	NOUN
bibechana-70637	41	10	nodes	node	NOUN
bibechana-70637	41	11	make	make	VERB
bibechana-70637	41	12	up	up	ADP
bibechana-70637	41	13	a	a	DET
bibechana-70637	41	14	decision	decision	NOUN
bibechana-70637	41	15	tree	tree	NOUN
bibechana-70637	41	16	(	(	PUNCT
bibechana-70637	41	17	figure	figure	NOUN
bibechana-70637	41	18	2	2	NUM
bibechana-70637	41	19	)	)	PUNCT
bibechana-70637	41	20	.	.	PUNCT
bibechana-70637	42	1	figure	figure	VERB
bibechana-70637	42	2	2	2	NUM
bibechana-70637	42	3	:	:	PUNCT
bibechana-70637	42	4	schematic	schematic	ADJ
bibechana-70637	42	5	presentation	presentation	NOUN
bibechana-70637	42	6	of	of	ADP
bibechana-70637	42	7	random	random	ADJ
bibechana-70637	42	8	forest	forest	NOUN
bibechana-70637	42	9	algorithm	algorithm	NOUN
bibechana-70637	42	10	.	.	PUNCT
bibechana-70637	43	1	decision	decision	NOUN
bibechana-70637	43	2	trees	tree	NOUN
bibechana-70637	43	3	are	be	AUX
bibechana-70637	43	4	trained	train	VERB
bibechana-70637	43	5	using	use	VERB
bibechana-70637	43	6	knowledge	knowledge	NOUN
bibechana-70637	43	7	acquisition	acquisition	NOUN
bibechana-70637	43	8	.	.	PUNCT
bibechana-70637	44	1	a	a	DET
bibechana-70637	44	2	method	method	NOUN
bibechana-70637	44	3	splits	split	VERB
bibechana-70637	44	4	a	a	DET
bibechana-70637	44	5	training	training	NOUN
bibechana-70637	44	6	dataset	dataset	VERB
bibechana-70637	44	7	into	into	ADP
bibechana-70637	44	8	branches	branch	NOUN
bibechana-70637	44	9	,	,	PUNCT
bibechana-70637	44	10	and	and	CCONJ
bibechana-70637	44	11	then	then	ADV
bibechana-70637	44	12	further	far	ADV
bibechana-70637	44	13	divides	divide	VERB
bibechana-70637	44	14	those	those	DET
bibechana-70637	44	15	branches	branch	NOUN
bibechana-70637	44	16	until	until	SCONJ
bibechana-70637	44	17	a	a	DET
bibechana-70637	44	18	leaf	leaf	NOUN
bibechana-70637	44	19	node	node	NOUN
bibechana-70637	44	20	is	be	AUX
bibechana-70637	44	21	reached	reach	VERB
bibechana-70637	44	22	[	[	X
bibechana-70637	44	23	18	18	NUM
bibechana-70637	44	24	]	]	PUNCT
bibechana-70637	44	25	.	.	PUNCT
bibechana-70637	45	1	splitting	split	VERB
bibechana-70637	45	2	branches	branch	NOUN
bibechana-70637	45	3	during	during	ADP
bibechana-70637	45	4	the	the	DET
bibechana-70637	45	5	creation	creation	NOUN
bibechana-70637	45	6	of	of	ADP
bibechana-70637	45	7	decision	decision	NOUN
bibechana-70637	45	8	trees	tree	NOUN
bibechana-70637	45	9	depends	depend	VERB
bibechana-70637	45	10	on	on	ADP
bibechana-70637	45	11	entropy	entropy	NOUN
bibechana-70637	45	12	and	and	CCONJ
bibechana-70637	45	13	information	information	NOUN
bibechana-70637	45	14	gain	gain	NOUN
bibechana-70637	45	15	.	.	PUNCT
bibechana-70637	46	1	the	the	DET
bibechana-70637	46	2	attributes	attribute	NOUN
bibechana-70637	46	3	used	use	VERB
bibechana-70637	46	4	to	to	PART
bibechana-70637	46	5	forecast	forecast	VERB
bibechana-70637	46	6	the	the	DET
bibechana-70637	46	7	outcome	outcome	NOUN
bibechana-70637	46	8	are	be	AUX
bibechana-70637	46	9	represented	represent	VERB
bibechana-70637	46	10	by	by	ADP
bibechana-70637	46	11	the	the	DET
bibechana-70637	46	12	nodes	node	NOUN
bibechana-70637	46	13	in	in	ADP
bibechana-70637	46	14	the	the	DET
bibechana-70637	46	15	decision	decision	NOUN
bibechana-70637	46	16	tree	tree	NOUN
bibechana-70637	46	17	.	.	PUNCT
bibechana-70637	47	1	ram	ram	PROPN
bibechana-70637	47	2	krishna	krishna	PROPN
bibechana-70637	47	3	tiwari	tiwari	PROPN
bibechana-70637	47	4	et	et	PROPN
bibechana-70637	47	5	al./	al./	ADV
bibechana-70637	47	6	bibechana	bibechana	PROPN
bibechana-70637	47	7	22	22	NUM
bibechana-70637	47	8	(	(	PUNCT
bibechana-70637	47	9	2025	2025	NUM
bibechana-70637	47	10	)	)	PUNCT
bibechana-70637	47	11	22	22	NUM
bibechana-70637	47	12	-	-	SYM
bibechana-70637	47	13	29	29	NUM
bibechana-70637	47	14	24	24	NUM
bibechana-70637	47	15	1.2	1.2	NUM
bibechana-70637	47	16	support	support	NOUN
bibechana-70637	47	17	vector	vector	NOUN
bibechana-70637	47	18	regression	regression	NOUN
bibechana-70637	47	19	a	a	DET
bibechana-70637	47	20	support	support	NOUN
bibechana-70637	47	21	vector	vector	NOUN
bibechana-70637	47	22	regressor	regressor	NOUN
bibechana-70637	47	23	(	(	PUNCT
bibechana-70637	47	24	svr	svr	PROPN
bibechana-70637	47	25	)	)	PUNCT
bibechana-70637	47	26	is	be	AUX
bibechana-70637	47	27	a	a	DET
bibechana-70637	47	28	mathematical	mathematical	ADJ
bibechana-70637	47	29	framework	framework	NOUN
bibechana-70637	47	30	designed	design	VERB
bibechana-70637	47	31	to	to	PART
bibechana-70637	47	32	function	function	VERB
bibechana-70637	47	33	as	as	ADP
bibechana-70637	47	34	a	a	DET
bibechana-70637	47	35	method	method	NOUN
bibechana-70637	47	36	or	or	CCONJ
bibechana-70637	47	37	strategy	strategy	NOUN
bibechana-70637	47	38	for	for	ADP
bibechana-70637	47	39	optimizing	optimize	VERB
bibechana-70637	47	40	a	a	DET
bibechana-70637	47	41	particular	particular	ADJ
bibechana-70637	47	42	mathematical	mathematical	ADJ
bibechana-70637	47	43	function	function	NOUN
bibechana-70637	47	44	concerning	concern	VERB
bibechana-70637	47	45	a	a	DET
bibechana-70637	47	46	provided	provide	VERB
bibechana-70637	47	47	dataset	dataset	NOUN
bibechana-70637	47	48	.	.	PUNCT
bibechana-70637	48	1	the	the	DET
bibechana-70637	48	2	svr	svr	PROPN
bibechana-70637	48	3	method	method	NOUN
bibechana-70637	48	4	focuses	focus	VERB
bibechana-70637	48	5	on	on	ADP
bibechana-70637	48	6	finding	find	VERB
bibechana-70637	48	7	the	the	DET
bibechana-70637	48	8	ideal	ideal	ADJ
bibechana-70637	48	9	hyperplane	hyperplane	NOUN
bibechana-70637	48	10	in	in	ADP
bibechana-70637	48	11	the	the	DET
bibechana-70637	48	12	feature	feature	NOUN
bibechana-70637	48	13	space	space	NOUN
bibechana-70637	48	14	(	(	PUNCT
bibechana-70637	48	15	n	n	CCONJ
bibechana-70637	48	16	-	-	PUNCT
bibechana-70637	48	17	dimensional	dimensional	ADJ
bibechana-70637	48	18	space	space	NOUN
bibechana-70637	48	19	)	)	PUNCT
bibechana-70637	48	20	which	which	PRON
bibechana-70637	48	21	in	in	ADP
bibechana-70637	48	22	turns	turn	NOUN
bibechana-70637	48	23	divides	divide	VERB
bibechana-70637	48	24	the	the	DET
bibechana-70637	48	25	data	data	NOUN
bibechana-70637	48	26	points	point	NOUN
bibechana-70637	48	27	into	into	ADP
bibechana-70637	48	28	various	various	ADJ
bibechana-70637	48	29	classes	class	NOUN
bibechana-70637	48	30	[	[	X
bibechana-70637	48	31	19	19	NUM
bibechana-70637	48	32	]	]	PUNCT
bibechana-70637	48	33	.	.	PUNCT
bibechana-70637	49	1	the	the	DET
bibechana-70637	49	2	hyperplane	hyperplane	NOUN
bibechana-70637	49	3	seeks	seek	VERB
bibechana-70637	49	4	to	to	PART
bibechana-70637	49	5	make	make	VERB
bibechana-70637	49	6	the	the	DET
bibechana-70637	49	7	distance	distance	NOUN
bibechana-70637	49	8	between	between	ADP
bibechana-70637	49	9	the	the	DET
bibechana-70637	49	10	closest	close	ADJ
bibechana-70637	49	11	points	point	NOUN
bibechana-70637	49	12	of	of	ADP
bibechana-70637	49	13	various	various	ADJ
bibechana-70637	49	14	classes	class	NOUN
bibechana-70637	49	15	as	as	ADV
bibechana-70637	49	16	large	large	ADJ
bibechana-70637	49	17	as	as	ADP
bibechana-70637	49	18	feasible	feasible	ADJ
bibechana-70637	49	19	.	.	PUNCT
bibechana-70637	50	1	the	the	DET
bibechana-70637	50	2	size	size	NOUN
bibechana-70637	50	3	of	of	ADP
bibechana-70637	50	4	the	the	DET
bibechana-70637	50	5	hyperplane	hyperplane	NOUN
bibechana-70637	50	6	is	be	AUX
bibechana-70637	50	7	determined	determine	VERB
bibechana-70637	50	8	by	by	ADP
bibechana-70637	50	9	the	the	DET
bibechana-70637	50	10	quantity	quantity	NOUN
bibechana-70637	50	11	of	of	ADP
bibechana-70637	50	12	features	feature	NOUN
bibechana-70637	50	13	.	.	PUNCT
bibechana-70637	51	1	for	for	ADP
bibechana-70637	51	2	two	two	NUM
bibechana-70637	51	3	input	input	NOUN
bibechana-70637	51	4	characteristics	characteristic	NOUN
bibechana-70637	51	5	,	,	PUNCT
bibechana-70637	51	6	the	the	DET
bibechana-70637	51	7	hyperplane	hyperplane	NOUN
bibechana-70637	51	8	essentially	essentially	ADV
bibechana-70637	51	9	becomes	become	VERB
bibechana-70637	51	10	a	a	DET
bibechana-70637	51	11	line	line	NOUN
bibechana-70637	51	12	whereas	whereas	SCONJ
bibechana-70637	51	13	it	it	PRON
bibechana-70637	51	14	turns	turn	VERB
bibechana-70637	51	15	into	into	ADP
bibechana-70637	51	16	a	a	DET
bibechana-70637	51	17	2	2	NUM
bibechana-70637	51	18	-	-	PUNCT
bibechana-70637	51	19	d	d	NOUN
bibechana-70637	51	20	plane	plane	NOUN
bibechana-70637	51	21	for	for	ADP
bibechana-70637	51	22	three	three	NUM
bibechana-70637	51	23	input	input	NOUN
bibechana-70637	51	24	characteristics	characteristic	NOUN
bibechana-70637	51	25	.	.	PUNCT
bibechana-70637	52	1	1.3	1.3	NUM
bibechana-70637	52	2	multi	multi	ADJ
bibechana-70637	52	3	-	-	ADJ
bibechana-70637	52	4	layer	layer	ADJ
bibechana-70637	52	5	perceptron	perceptron	PROPN
bibechana-70637	52	6	regression	regression	VERB
bibechana-70637	52	7	a	a	DET
bibechana-70637	52	8	multi	multi	ADJ
bibechana-70637	52	9	-	-	ADJ
bibechana-70637	52	10	layer	layer	ADJ
bibechana-70637	52	11	perceptron	perceptron	PROPN
bibechana-70637	52	12	regression	regression	PROPN
bibechana-70637	52	13	(	(	PUNCT
bibechana-70637	52	14	mlpr	mlpr	ADJ
bibechana-70637	52	15	)	)	PUNCT
bibechana-70637	52	16	consists	consist	VERB
bibechana-70637	52	17	of	of	ADP
bibechana-70637	52	18	at	at	ADV
bibechana-70637	52	19	least	least	ADV
bibechana-70637	52	20	three	three	NUM
bibechana-70637	52	21	layers	layer	NOUN
bibechana-70637	52	22	:	:	PUNCT
bibechana-70637	52	23	an	an	DET
bibechana-70637	52	24	input	input	NOUN
bibechana-70637	52	25	layer	layer	NOUN
bibechana-70637	52	26	,	,	PUNCT
bibechana-70637	52	27	a	a	DET
bibechana-70637	52	28	hidden	hidden	ADJ
bibechana-70637	52	29	layer	layer	NOUN
bibechana-70637	52	30	,	,	PUNCT
bibechana-70637	52	31	and	and	CCONJ
bibechana-70637	52	32	an	an	DET
bibechana-70637	52	33	output	output	NOUN
bibechana-70637	52	34	layer	layer	NOUN
bibechana-70637	52	35	.	.	PUNCT
bibechana-70637	53	1	every	every	DET
bibechana-70637	53	2	layer	layer	NOUN
bibechana-70637	53	3	makes	make	VERB
bibechana-70637	53	4	use	use	NOUN
bibechana-70637	53	5	of	of	ADP
bibechana-70637	53	6	the	the	DET
bibechana-70637	53	7	results	result	NOUN
bibechana-70637	53	8	from	from	ADP
bibechana-70637	53	9	the	the	DET
bibechana-70637	53	10	layer	layer	NOUN
bibechana-70637	53	11	before	before	ADP
bibechana-70637	53	12	it	it	PRON
bibechana-70637	53	13	.	.	PUNCT
bibechana-70637	54	1	without	without	ADP
bibechana-70637	54	2	input	input	NOUN
bibechana-70637	54	3	,	,	PUNCT
bibechana-70637	54	4	each	each	DET
bibechana-70637	54	5	layer	layer	NOUN
bibechana-70637	54	6	node	node	NOUN
bibechana-70637	54	7	is	be	AUX
bibechana-70637	54	8	referred	refer	VERB
bibechana-70637	54	9	to	to	ADP
bibechana-70637	54	10	as	as	ADP
bibechana-70637	54	11	a	a	DET
bibechana-70637	54	12	neuron	neuron	NOUN
bibechana-70637	54	13	.	.	PUNCT
bibechana-70637	55	1	the	the	DET
bibechana-70637	55	2	primary	primary	ADJ
bibechana-70637	55	3	processing	processing	NOUN
bibechana-70637	55	4	unit	unit	NOUN
bibechana-70637	55	5	of	of	ADP
bibechana-70637	55	6	the	the	DET
bibechana-70637	55	7	neural	neural	ADJ
bibechana-70637	55	8	network	network	NOUN
bibechana-70637	55	9	,	,	PUNCT
bibechana-70637	55	10	the	the	DET
bibechana-70637	55	11	neuron	neuron	NOUN
bibechana-70637	55	12	,	,	PUNCT
bibechana-70637	55	13	gathers	gather	VERB
bibechana-70637	55	14	data	datum	NOUN
bibechana-70637	55	15	from	from	ADP
bibechana-70637	55	16	a	a	DET
bibechana-70637	55	17	variety	variety	NOUN
bibechana-70637	55	18	of	of	ADP
bibechana-70637	55	19	inputs	input	NOUN
bibechana-70637	55	20	,	,	PUNCT
bibechana-70637	55	21	applies	apply	VERB
bibechana-70637	55	22	weights	weight	NOUN
bibechana-70637	55	23	and	and	CCONJ
bibechana-70637	55	24	bias	bias	NOUN
bibechana-70637	55	25	terms	term	NOUN
bibechana-70637	55	26	,	,	PUNCT
bibechana-70637	55	27	and	and	CCONJ
bibechana-70637	55	28	then	then	ADV
bibechana-70637	55	29	sends	send	VERB
bibechana-70637	55	30	the	the	DET
bibechana-70637	55	31	final	final	ADJ
bibechana-70637	55	32	product	product	NOUN
bibechana-70637	55	33	to	to	ADP
bibechana-70637	55	34	an	an	DET
bibechana-70637	55	35	active	active	ADJ
bibechana-70637	55	36	function	function	NOUN
bibechana-70637	55	37	that	that	PRON
bibechana-70637	55	38	produces	produce	VERB
bibechana-70637	55	39	outputs	output	NOUN
bibechana-70637	55	40	[	[	X
bibechana-70637	55	41	20	20	NUM
bibechana-70637	55	42	]	]	PUNCT
bibechana-70637	55	43	.	.	PUNCT
bibechana-70637	56	1	a	a	DET
bibechana-70637	56	2	multilayer	multilayer	PROPN
bibechana-70637	56	3	perceptron	perceptron	PROPN
bibechana-70637	56	4	model	model	NOUN
bibechana-70637	56	5	primarily	primarily	ADV
bibechana-70637	56	6	comprises	comprise	VERB
bibechana-70637	56	7	of	of	ADP
bibechana-70637	56	8	a	a	DET
bibechana-70637	56	9	back	back	ADJ
bibechana-70637	56	10	propagation	propagation	NOUN
bibechana-70637	56	11	model	model	NOUN
bibechana-70637	56	12	for	for	ADP
bibechana-70637	56	13	training	training	NOUN
bibechana-70637	56	14	,	,	PUNCT
bibechana-70637	56	15	and	and	CCONJ
bibechana-70637	56	16	additionally	additionally	ADV
bibechana-70637	56	17	,	,	PUNCT
bibechana-70637	56	18	it	it	PRON
bibechana-70637	56	19	employs	employ	VERB
bibechana-70637	56	20	a	a	DET
bibechana-70637	56	21	linear	linear	ADJ
bibechana-70637	56	22	activation	activation	NOUN
bibechana-70637	56	23	function	function	NOUN
bibechana-70637	56	24	in	in	ADP
bibechana-70637	56	25	its	its	PRON
bibechana-70637	56	26	hidden	hidden	ADJ
bibechana-70637	56	27	layers	layer	NOUN
bibechana-70637	56	28	,	,	PUNCT
bibechana-70637	56	29	which	which	PRON
bibechana-70637	56	30	,	,	PUNCT
bibechana-70637	56	31	when	when	SCONJ
bibechana-70637	56	32	combined	combine	VERB
bibechana-70637	56	33	with	with	ADP
bibechana-70637	56	34	multiple	multiple	ADJ
bibechana-70637	56	35	layers	layer	NOUN
bibechana-70637	56	36	,	,	PUNCT
bibechana-70637	56	37	allows	allow	VERB
bibechana-70637	56	38	it	it	PRON
bibechana-70637	56	39	to	to	PART
bibechana-70637	56	40	approximate	approximate	VERB
bibechana-70637	56	41	non	non	ADJ
bibechana-70637	56	42	-	-	ADJ
bibechana-70637	56	43	linear	linear	ADJ
bibechana-70637	56	44	relationships	relationship	NOUN
bibechana-70637	56	45	in	in	ADP
bibechana-70637	56	46	the	the	DET
bibechana-70637	56	47	data	datum	NOUN
bibechana-70637	56	48	.	.	PUNCT
bibechana-70637	57	1	figure	figure	VERB
bibechana-70637	57	2	3	3	NUM
bibechana-70637	57	3	:	:	PUNCT
bibechana-70637	57	4	schematic	schematic	ADJ
bibechana-70637	57	5	presentation	presentation	NOUN
bibechana-70637	57	6	of	of	ADP
bibechana-70637	57	7	multilayer	multilayer	ADJ
bibechana-70637	57	8	perceptron	perceptron	PROPN
bibechana-70637	57	9	algorithm	algorithm	PROPN
bibechana-70637	57	10	where	where	SCONJ
bibechana-70637	57	11	l0	l0	PROPN
bibechana-70637	57	12	stands	stand	VERB
bibechana-70637	57	13	for	for	ADP
bibechana-70637	57	14	(	(	PUNCT
bibechana-70637	57	15	layer	layer	NOUN
bibechana-70637	57	16	0	0	NUM
bibechana-70637	57	17	)	)	PUNCT
bibechana-70637	57	18	or	or	CCONJ
bibechana-70637	57	19	input	input	NOUN
bibechana-70637	57	20	layer	layer	NOUN
bibechana-70637	57	21	(	(	PUNCT
bibechana-70637	57	22	il	il	PROPN
bibechana-70637	57	23	)	)	PUNCT
bibechana-70637	57	24	,	,	PUNCT
bibechana-70637	57	25	l1	l1	PROPN
bibechana-70637	57	26	stands	stand	VERB
bibechana-70637	57	27	for	for	ADP
bibechana-70637	57	28	(	(	PUNCT
bibechana-70637	57	29	layer	layer	NOUN
bibechana-70637	57	30	1	1	NUM
bibechana-70637	57	31	)	)	PUNCT
bibechana-70637	57	32	or	or	CCONJ
bibechana-70637	57	33	hidden	hide	VERB
bibechana-70637	57	34	layer	layer	NOUN
bibechana-70637	57	35	(	(	PUNCT
bibechana-70637	57	36	hl	hl	NOUN
bibechana-70637	57	37	)	)	PUNCT
bibechana-70637	57	38	,	,	PUNCT
bibechana-70637	57	39	and	and	CCONJ
bibechana-70637	57	40	l2	l2	NOUN
bibechana-70637	57	41	stands	stand	VERB
bibechana-70637	57	42	for	for	ADP
bibechana-70637	57	43	(	(	PUNCT
bibechana-70637	57	44	layer	layer	NOUN
bibechana-70637	57	45	2	2	NUM
bibechana-70637	57	46	)	)	PUNCT
bibechana-70637	57	47	or	or	CCONJ
bibechana-70637	57	48	output	output	NOUN
bibechana-70637	57	49	layer	layer	NOUN
bibechana-70637	57	50	(	(	PUNCT
bibechana-70637	57	51	ol	ol	ADJ
bibechana-70637	57	52	)	)	PUNCT
bibechana-70637	57	53	.	.	PUNCT
bibechana-70637	58	1	the	the	DET
bibechana-70637	58	2	study	study	NOUN
bibechana-70637	58	3	area	area	NOUN
bibechana-70637	58	4	is	be	AUX
bibechana-70637	58	5	in	in	ADP
bibechana-70637	58	6	the	the	DET
bibechana-70637	58	7	central	central	PROPN
bibechana-70637	58	8	himalaya	himalaya	PROPN
bibechana-70637	58	9	region	region	NOUN
bibechana-70637	58	10	between	between	ADP
bibechana-70637	58	11	latitudes	latitude	NOUN
bibechana-70637	58	12	of	of	ADP
bibechana-70637	58	13	26.5	26.5	NUM
bibechana-70637	58	14	°	°	NOUN
bibechana-70637	58	15	and	and	CCONJ
bibechana-70637	58	16	30.5	30.5	NUM
bibechana-70637	58	17	°	°	NUM
bibechana-70637	58	18	and	and	CCONJ
bibechana-70637	58	19	longitudes	longitude	NOUN
bibechana-70637	58	20	of	of	ADP
bibechana-70637	58	21	80	80	NUM
bibechana-70637	58	22	°	°	NUM
bibechana-70637	58	23	and	and	CCONJ
bibechana-70637	58	24	88	88	NUM
bibechana-70637	58	25	°	°	NOUN
bibechana-70637	58	26	,	,	PUNCT
bibechana-70637	58	27	which	which	PRON
bibechana-70637	58	28	includes	include	VERB
bibechana-70637	58	29	the	the	DET
bibechana-70637	58	30	entirety	entirety	NOUN
bibechana-70637	58	31	of	of	ADP
bibechana-70637	58	32	nepal	nepal	NOUN
bibechana-70637	58	33	along	along	ADP
bibechana-70637	58	34	with	with	ADP
bibechana-70637	58	35	certain	certain	ADJ
bibechana-70637	58	36	regions	region	NOUN
bibechana-70637	58	37	of	of	ADP
bibechana-70637	58	38	india	india	PROPN
bibechana-70637	58	39	and	and	CCONJ
bibechana-70637	58	40	china	china	PROPN
bibechana-70637	58	41	.	.	PUNCT
bibechana-70637	59	1	the	the	DET
bibechana-70637	59	2	region	region	NOUN
bibechana-70637	59	3	has	have	VERB
bibechana-70637	59	4	low	low	ADJ
bibechana-70637	59	5	to	to	PART
bibechana-70637	59	6	moderate	moderate	ADJ
bibechana-70637	59	7	seismicity	seismicity	NOUN
bibechana-70637	59	8	(	(	PUNCT
bibechana-70637	59	9	figure	figure	NOUN
bibechana-70637	59	10	4	4	NUM
bibechana-70637	59	11	)	)	PUNCT
bibechana-70637	59	12	.	.	PUNCT
bibechana-70637	60	1	the	the	DET
bibechana-70637	60	2	seismicity	seismicity	NOUN
bibechana-70637	60	3	of	of	ADP
bibechana-70637	60	4	the	the	DET
bibechana-70637	60	5	region	region	NOUN
bibechana-70637	60	6	is	be	AUX
bibechana-70637	60	7	primarily	primarily	ADV
bibechana-70637	60	8	controlled	control	VERB
bibechana-70637	60	9	by	by	ADP
bibechana-70637	60	10	the	the	DET
bibechana-70637	60	11	main	main	ADJ
bibechana-70637	60	12	central	central	ADJ
bibechana-70637	60	13	thrust	thrust	NOUN
bibechana-70637	60	14	(	(	PUNCT
bibechana-70637	60	15	mct	mct	PROPN
bibechana-70637	60	16	)	)	PUNCT
bibechana-70637	60	17	,	,	PUNCT
bibechana-70637	60	18	main	main	ADJ
bibechana-70637	60	19	boundary	boundary	ADJ
bibechana-70637	60	20	thrust	thrust	NOUN
bibechana-70637	60	21	(	(	PUNCT
bibechana-70637	60	22	mbt	mbt	PROPN
bibechana-70637	60	23	)	)	PUNCT
bibechana-70637	60	24	,	,	PUNCT
bibechana-70637	60	25	main	main	ADJ
bibechana-70637	60	26	frontal	frontal	ADJ
bibechana-70637	60	27	thrust	thrust	NOUN
bibechana-70637	60	28	(	(	PUNCT
bibechana-70637	60	29	mft	mft	PROPN
bibechana-70637	60	30	)	)	PUNCT
bibechana-70637	60	31	,	,	PUNCT
bibechana-70637	60	32	and	and	CCONJ
bibechana-70637	60	33	several	several	ADJ
bibechana-70637	60	34	small	small	ADJ
bibechana-70637	60	35	faults	fault	NOUN
bibechana-70637	60	36	that	that	PRON
bibechana-70637	60	37	are	be	AUX
bibechana-70637	60	38	trending	trend	VERB
bibechana-70637	60	39	north	north	ADV
bibechana-70637	60	40	to	to	ADP
bibechana-70637	60	41	the	the	DET
bibechana-70637	60	42	south	south	NOUN
bibechana-70637	61	1	[	[	X
bibechana-70637	61	2	21–23	21–23	NUM
bibechana-70637	61	3	]	]	PUNCT
bibechana-70637	61	4	.	.	PUNCT
bibechana-70637	62	1	figure	figure	VERB
bibechana-70637	62	2	4	4	NUM
bibechana-70637	62	3	:	:	PUNCT
bibechana-70637	62	4	seismicity	seismicity	NOUN
bibechana-70637	62	5	of	of	ADP
bibechana-70637	62	6	the	the	DET
bibechana-70637	62	7	study	study	NOUN
bibechana-70637	62	8	area	area	NOUN
bibechana-70637	62	9	.	.	PUNCT
bibechana-70637	63	1	also	also	ADV
bibechana-70637	63	2	showing	show	VERB
bibechana-70637	63	3	major	major	ADJ
bibechana-70637	63	4	himalayan	himalayan	ADJ
bibechana-70637	63	5	thrusts	thrust	NOUN
bibechana-70637	63	6	std	std	PROPN
bibechana-70637	63	7	,	,	PUNCT
bibechana-70637	63	8	mct	mct	PROPN
bibechana-70637	63	9	,	,	PUNCT
bibechana-70637	63	10	mbt	mbt	NOUN
bibechana-70637	63	11	,	,	PUNCT
bibechana-70637	63	12	and	and	CCONJ
bibechana-70637	63	13	mft	mft	VERB
bibechana-70637	63	14	from	from	ADP
bibechana-70637	63	15	north	north	NOUN
bibechana-70637	63	16	to	to	ADP
bibechana-70637	63	17	south	south	ADJ
bibechana-70637	63	18	,	,	PUNCT
bibechana-70637	63	19	namely	namely	ADV
bibechana-70637	63	20	south	south	ADJ
bibechana-70637	63	21	tibetan	tibetan	PROPN
bibechana-70637	63	22	detachment	detachment	PROPN
bibechana-70637	63	23	system	system	NOUN
bibechana-70637	63	24	,	,	PUNCT
bibechana-70637	63	25	main	main	ADJ
bibechana-70637	63	26	central	central	ADJ
bibechana-70637	63	27	thrust	thrust	NOUN
bibechana-70637	63	28	,	,	PUNCT
bibechana-70637	63	29	main	main	ADJ
bibechana-70637	63	30	boundary	boundary	ADJ
bibechana-70637	63	31	thrust	thrust	NOUN
bibechana-70637	63	32	,	,	PUNCT
bibechana-70637	63	33	main	main	ADJ
bibechana-70637	63	34	frontal	frontal	ADJ
bibechana-70637	63	35	thrust	thrust	NOUN
bibechana-70637	63	36	.	.	PUNCT
bibechana-70637	64	1	the	the	DET
bibechana-70637	64	2	earthquake	earthquake	NOUN
bibechana-70637	64	3	occurrence	occurrence	NOUN
bibechana-70637	64	4	mechanisms	mechanism	NOUN
bibechana-70637	64	5	are	be	AUX
bibechana-70637	64	6	widely	widely	ADV
bibechana-70637	64	7	regarded	regard	VERB
bibechana-70637	64	8	as	as	ADP
bibechana-70637	64	9	unpredictable	unpredictable	ADJ
bibechana-70637	64	10	and	and	CCONJ
bibechana-70637	64	11	marked	mark	VERB
bibechana-70637	64	12	by	by	ADP
bibechana-70637	64	13	non	non	ADJ
bibechana-70637	64	14	-	-	ADJ
bibechana-70637	64	15	linear	linear	ADJ
bibechana-70637	64	16	behaviors	behavior	NOUN
bibechana-70637	64	17	.	.	PUNCT
bibechana-70637	65	1	most	most	ADJ
bibechana-70637	65	2	ongoing	ongoing	ADJ
bibechana-70637	65	3	research	research	NOUN
bibechana-70637	65	4	in	in	ADP
bibechana-70637	65	5	the	the	DET
bibechana-70637	65	6	field	field	NOUN
bibechana-70637	65	7	of	of	ADP
bibechana-70637	65	8	ml	ml	NOUN
bibechana-70637	65	9	has	have	AUX
bibechana-70637	65	10	concentrated	concentrate	VERB
bibechana-70637	65	11	on	on	ADP
bibechana-70637	65	12	exploring	explore	VERB
bibechana-70637	65	13	how	how	SCONJ
bibechana-70637	65	14	neural	neural	ADJ
bibechana-70637	65	15	networks	network	NOUN
bibechana-70637	65	16	can	can	AUX
bibechana-70637	65	17	be	be	AUX
bibechana-70637	65	18	applied	apply	VERB
bibechana-70637	65	19	to	to	PART
bibechana-70637	65	20	address	address	VERB
bibechana-70637	65	21	this	this	DET
bibechana-70637	65	22	challenge	challenge	NOUN
bibechana-70637	65	23	[	[	X
bibechana-70637	65	24	11,24,25	11,24,25	NUM
bibechana-70637	65	25	]	]	PUNCT
bibechana-70637	65	26	.	.	PUNCT
bibechana-70637	66	1	because	because	SCONJ
bibechana-70637	66	2	of	of	ADP
bibechana-70637	66	3	conceptual	conceptual	ADJ
bibechana-70637	66	4	,	,	PUNCT
bibechana-70637	66	5	algorithmic	algorithmic	ADJ
bibechana-70637	66	6	,	,	PUNCT
bibechana-70637	66	7	and	and	CCONJ
bibechana-70637	66	8	computational	computational	ADJ
bibechana-70637	66	9	constraints	constraint	NOUN
bibechana-70637	66	10	,	,	PUNCT
bibechana-70637	66	11	it	it	PRON
bibechana-70637	66	12	was	be	AUX
bibechana-70637	66	13	challenging	challenge	VERB
bibechana-70637	66	14	to	to	PART
bibechana-70637	66	15	construct	construct	VERB
bibechana-70637	66	16	efficient	efficient	ADJ
bibechana-70637	66	17	models	model	NOUN
bibechana-70637	66	18	via	via	ADP
bibechana-70637	66	19	the	the	DET
bibechana-70637	66	20	early	early	ADJ
bibechana-70637	66	21	explorations	exploration	NOUN
bibechana-70637	66	22	,	,	PUNCT
bibechana-70637	66	23	but	but	CCONJ
bibechana-70637	66	24	it	it	PRON
bibechana-70637	66	25	is	be	AUX
bibechana-70637	66	26	now	now	ADV
bibechana-70637	66	27	possible	possible	ADJ
bibechana-70637	66	28	to	to	PART
bibechana-70637	66	29	use	use	VERB
bibechana-70637	66	30	advanced	advanced	ADJ
bibechana-70637	66	31	models	model	NOUN
bibechana-70637	66	32	by	by	ADP
bibechana-70637	66	33	leveraging	leverage	VERB
bibechana-70637	66	34	deep	deep	ADJ
bibechana-70637	66	35	neural	neural	ADJ
bibechana-70637	66	36	networks	network	NOUN
bibechana-70637	66	37	(	(	PUNCT
bibechana-70637	66	38	dnns	dnn	NOUN
bibechana-70637	66	39	)	)	PUNCT
bibechana-70637	67	1	[	[	X
bibechana-70637	67	2	13,26	13,26	NUM
bibechana-70637	67	3	]	]	X
bibechana-70637	67	4	.	.	PUNCT
bibechana-70637	68	1	while	while	SCONJ
bibechana-70637	68	2	going	go	VERB
bibechana-70637	68	3	through	through	ADP
bibechana-70637	68	4	the	the	DET
bibechana-70637	68	5	literature	literature	NOUN
bibechana-70637	68	6	,	,	PUNCT
bibechana-70637	68	7	artificial	artificial	ADJ
bibechana-70637	68	8	neural	neural	ADJ
bibechana-70637	68	9	network	network	NOUN
bibechana-70637	68	10	(	(	PUNCT
bibechana-70637	68	11	ann	ann	PROPN
bibechana-70637	68	12	)	)	PUNCT
bibechana-70637	68	13	in	in	ADP
bibechana-70637	68	14	collaboration	collaboration	NOUN
bibechana-70637	68	15	with	with	ADP
bibechana-70637	68	16	seismic	seismic	ADJ
bibechana-70637	68	17	precursors	precursor	NOUN
bibechana-70637	68	18	were	be	AUX
bibechana-70637	68	19	found	find	VERB
bibechana-70637	68	20	useful	useful	ADJ
bibechana-70637	68	21	to	to	PART
bibechana-70637	68	22	predict	predict	VERB
bibechana-70637	68	23	earthquakes	earthquake	NOUN
bibechana-70637	68	24	.	.	PUNCT
bibechana-70637	69	1	for	for	ADP
bibechana-70637	69	2	example	example	NOUN
bibechana-70637	69	3	,	,	PUNCT
bibechana-70637	69	4	back	back	ADJ
bibechana-70637	69	5	propagation	propagation	NOUN
bibechana-70637	69	6	neural	neural	ADJ
bibechana-70637	69	7	network	network	NOUN
bibechana-70637	69	8	(	(	PUNCT
bibechana-70637	69	9	bpnn	bpnn	NOUN
bibechana-70637	69	10	)	)	PUNCT
bibechana-70637	69	11	models	model	NOUN
bibechana-70637	69	12	have	have	AUX
bibechana-70637	69	13	been	be	AUX
bibechana-70637	69	14	used	use	VERB
bibechana-70637	69	15	to	to	PART
bibechana-70637	69	16	identify	identify	VERB
bibechana-70637	69	17	unusual	unusual	ADJ
bibechana-70637	69	18	behaviour	behaviour	NOUN
bibechana-70637	69	19	in	in	ADP
bibechana-70637	69	20	radon	radon	ADJ
bibechana-70637	69	21	concentrations	concentration	NOUN
bibechana-70637	69	22	produced	produce	VERB
bibechana-70637	69	23	by	by	ADP
bibechana-70637	69	24	earthquakes	earthquake	NOUN
bibechana-70637	69	25	[	[	X
bibechana-70637	69	26	27	27	NUM
bibechana-70637	69	27	]	]	PUNCT
bibechana-70637	69	28	.	.	PUNCT
bibechana-70637	70	1	from	from	ADP
bibechana-70637	70	2	the	the	DET
bibechana-70637	70	3	assembly	assembly	NOUN
bibechana-70637	70	4	of	of	ADP
bibechana-70637	70	5	radial	radial	ADJ
bibechana-70637	70	6	basis	basis	NOUN
bibechana-70637	70	7	function	function	NOUN
bibechana-70637	70	8	(	(	PUNCT
bibechana-70637	70	9	rbf	rbf	PROPN
bibechana-70637	70	10	)	)	PUNCT
bibechana-70637	70	11	neural	neural	ADJ
bibechana-70637	70	12	networks	network	NOUN
bibechana-70637	70	13	,	,	PUNCT
bibechana-70637	70	14	earthquakes	earthquake	NOUN
bibechana-70637	70	15	in	in	ADP
bibechana-70637	70	16	china	china	PROPN
bibechana-70637	70	17	have	have	AUX
bibechana-70637	70	18	been	be	AUX
bibechana-70637	70	19	predicted	predict	VERB
bibechana-70637	70	20	(	(	PUNCT
bibechana-70637	70	21	y.	y.	PROPN
bibechana-70637	70	22	liu	liu	PROPN
bibechana-70637	70	23	et	et	PROPN
bibechana-70637	70	24	al	al	PROPN
bibechana-70637	70	25	.	.	PROPN
bibechana-70637	70	26	,	,	PUNCT
bibechana-70637	70	27	2004	2004	NUM
bibechana-70637	70	28	)	)	PUNCT
bibechana-70637	70	29	.	.	PUNCT
bibechana-70637	71	1	analysing	analyse	VERB
bibechana-70637	71	2	seismic	seismic	ADJ
bibechana-70637	71	3	events	event	NOUN
bibechana-70637	71	4	over	over	ADP
bibechana-70637	71	5	a	a	DET
bibechana-70637	71	6	period	period	NOUN
bibechana-70637	71	7	in	in	ADP
bibechana-70637	71	8	southern	southern	ADJ
bibechana-70637	71	9	california	california	PROPN
bibechana-70637	71	10	and	and	CCONJ
bibechana-70637	71	11	san	san	PROPN
bibechana-70637	71	12	francisco	francisco	PROPN
bibechana-70637	71	13	,	,	PUNCT
bibechana-70637	71	14	a	a	DET
bibechana-70637	71	15	model	model	NOUN
bibechana-70637	71	16	was	be	AUX
bibechana-70637	71	17	designed	design	VERB
bibechana-70637	71	18	,	,	PUNCT
bibechana-70637	71	19	based	base	VERB
bibechana-70637	71	20	on	on	ADP
bibechana-70637	71	21	anns	ann	NOUN
bibechana-70637	71	22	which	which	PRON
bibechana-70637	71	23	can	can	AUX
bibechana-70637	71	24	predict	predict	VERB
bibechana-70637	71	25	the	the	DET
bibechana-70637	71	26	earthquakes	earthquake	NOUN
bibechana-70637	71	27	on	on	ADP
bibechana-70637	71	28	monthly	monthly	ADJ
bibechana-70637	71	29	basis	basis	NOUN
bibechana-70637	72	1	[	[	X
bibechana-70637	72	2	16	16	NUM
bibechana-70637	72	3	]	]	PUNCT
bibechana-70637	72	4	.	.	PUNCT
bibechana-70637	73	1	in	in	ADP
bibechana-70637	73	2	2009	2009	NUM
bibechana-70637	73	3	,	,	PUNCT
bibechana-70637	73	4	the	the	DET
bibechana-70637	73	5	identical	identical	ADJ
bibechana-70637	73	6	seismic	seismic	ADJ
bibechana-70637	73	7	considerations	consideration	NOUN
bibechana-70637	73	8	were	be	AUX
bibechana-70637	73	9	incorporated	incorporate	VERB
bibechana-70637	73	10	with	with	ADP
bibechana-70637	73	11	the	the	DET
bibechana-70637	73	12	probabilistic	probabilistic	ADJ
bibechana-70637	73	13	neural	neural	ADJ
bibechana-70637	73	14	network	network	NOUN
bibechana-70637	73	15	(	(	PUNCT
bibechana-70637	73	16	pnn	pnn	PROPN
bibechana-70637	73	17	)	)	PUNCT
bibechana-70637	73	18	to	to	PART
bibechana-70637	73	19	predict	predict	VERB
bibechana-70637	73	20	earthquake	earthquake	NOUN
bibechana-70637	73	21	[	[	X
bibechana-70637	73	22	15	15	NUM
bibechana-70637	73	23	]	]	PUNCT
bibechana-70637	73	24	.	.	PUNCT
bibechana-70637	74	1	the	the	DET
bibechana-70637	74	2	work	work	NOUN
bibechana-70637	74	3	[	[	X
bibechana-70637	74	4	28	28	NUM
bibechana-70637	74	5	]	]	PUNCT
bibechana-70637	74	6	demonstrates	demonstrate	VERB
bibechana-70637	74	7	that	that	SCONJ
bibechana-70637	74	8	,	,	PUNCT
bibechana-70637	74	9	although	although	SCONJ
bibechana-70637	74	10	the	the	DET
bibechana-70637	74	11	occurrence	occurrence	NOUN
bibechana-70637	74	12	of	of	ADP
bibechana-70637	74	13	earthquakes	earthquake	NOUN
bibechana-70637	74	14	is	be	AUX
bibechana-70637	74	15	nonlinear	nonlinear	ADJ
bibechana-70637	74	16	and	and	CCONJ
bibechana-70637	74	17	random	random	ADJ
bibechana-70637	74	18	phenomena	phenomenon	NOUN
bibechana-70637	74	19	,	,	PUNCT
bibechana-70637	74	20	it	it	PRON
bibechana-70637	74	21	is	be	AUX
bibechana-70637	74	22	still	still	ADV
bibechana-70637	74	23	possible	possible	ADJ
bibechana-70637	74	24	to	to	PART
bibechana-70637	74	25	model	model	VERB
bibechana-70637	74	26	it	it	PRON
bibechana-70637	74	27	using	use	VERB
bibechana-70637	74	28	methodologies	methodology	NOUN
bibechana-70637	74	29	of	of	ADP
bibechana-70637	74	30	machine	machine	NOUN
bibechana-70637	74	31	learning	learning	NOUN
bibechana-70637	74	32	.	.	PUNCT
bibechana-70637	75	1	the	the	DET
bibechana-70637	75	2	neural	neural	ADJ
bibechana-70637	75	3	network	network	NOUN
bibechana-70637	75	4	-	-	PUNCT
bibechana-70637	75	5	based	base	VERB
bibechana-70637	75	6	method	method	NOUN
bibechana-70637	75	7	for	for	ADP
bibechana-70637	75	8	predicting	predict	VERB
bibechana-70637	75	9	earthquakes	earthquake	NOUN
bibechana-70637	75	10	was	be	AUX
bibechana-70637	75	11	evaluated	evaluate	VERB
bibechana-70637	75	12	using	use	VERB
bibechana-70637	75	13	data	datum	NOUN
bibechana-70637	75	14	from	from	ADP
bibechana-70637	75	15	the	the	DET
bibechana-70637	75	16	portuguese	portuguese	ADJ
bibechana-70637	75	17	reram	reram	PROPN
bibechana-70637	75	18	krishna	krishna	PROPN
bibechana-70637	75	19	tiwari	tiwari	PROPN
bibechana-70637	75	20	et	et	PROPN
bibechana-70637	75	21	al./	al./	ADV
bibechana-70637	75	22	bibechana	bibechana	PROPN
bibechana-70637	75	23	22	22	NUM
bibechana-70637	75	24	(	(	PUNCT
bibechana-70637	75	25	2025	2025	NUM
bibechana-70637	75	26	)	)	PUNCT
bibechana-70637	75	27	22	22	NUM
bibechana-70637	75	28	-	-	SYM
bibechana-70637	75	29	29	29	NUM
bibechana-70637	75	30	25	25	NUM
bibechana-70637	75	31	gion	gion	NOUN
bibechana-70637	75	32	of	of	ADP
bibechana-70637	75	33	the	the	DET
bibechana-70637	75	34	azores	azore	NOUN
bibechana-70637	75	35	,	,	PUNCT
bibechana-70637	75	36	and	and	CCONJ
bibechana-70637	75	37	the	the	DET
bibechana-70637	75	38	results	result	NOUN
bibechana-70637	75	39	showed	show	VERB
bibechana-70637	75	40	that	that	SCONJ
bibechana-70637	75	41	it	it	PRON
bibechana-70637	75	42	successfully	successfully	ADV
bibechana-70637	75	43	predicted	predict	VERB
bibechana-70637	75	44	earthquakes	earthquake	NOUN
bibechana-70637	75	45	in	in	ADP
bibechana-70637	75	46	july	july	PROPN
bibechana-70637	75	47	1998	1998	NUM
bibechana-70637	75	48	for	for	ADP
bibechana-70637	75	49	the	the	DET
bibechana-70637	75	50	modified	modify	VERB
bibechana-70637	75	51	mercalli	mercalli	NOUN
bibechana-70637	75	52	intensity	intensity	NOUN
bibechana-70637	75	53	(	(	PUNCT
bibechana-70637	75	54	mmi	mmi	PROPN
bibechana-70637	75	55	)	)	PUNCT
bibechana-70637	75	56	of	of	ADP
bibechana-70637	75	57	8	8	NUM
bibechana-70637	75	58	,	,	PUNCT
bibechana-70637	75	59	and	and	CCONJ
bibechana-70637	75	60	in	in	ADP
bibechana-70637	75	61	january	january	PROPN
bibechana-70637	75	62	2004	2004	NUM
bibechana-70637	75	63	for	for	ADP
bibechana-70637	75	64	the	the	DET
bibechana-70637	75	65	modified	modify	VERB
bibechana-70637	75	66	mercalli	mercalli	NOUN
bibechana-70637	75	67	intensity	intensity	NOUN
bibechana-70637	75	68	(	(	PUNCT
bibechana-70637	75	69	mmi	mmi	PROPN
bibechana-70637	75	70	)	)	PUNCT
bibechana-70637	75	71	of	of	ADP
bibechana-70637	75	72	5	5	NUM
bibechana-70637	75	73	,	,	PUNCT
bibechana-70637	75	74	respectively	respectively	ADV
bibechana-70637	75	75	[	[	X
bibechana-70637	75	76	29	29	NUM
bibechana-70637	75	77	]	]	PUNCT
bibechana-70637	75	78	.	.	PUNCT
bibechana-70637	76	1	according	accord	VERB
bibechana-70637	76	2	to	to	ADP
bibechana-70637	76	3	studies	study	NOUN
bibechana-70637	76	4	[	[	X
bibechana-70637	76	5	15	15	NUM
bibechana-70637	76	6	,	,	PUNCT
bibechana-70637	76	7	16	16	NUM
bibechana-70637	76	8	]	]	X
bibechana-70637	76	9	probabilistic	probabilistic	ADJ
bibechana-70637	76	10	neural	neural	ADJ
bibechana-70637	76	11	networks	network	NOUN
bibechana-70637	76	12	(	(	PUNCT
bibechana-70637	76	13	pnns	pnn	NOUN
bibechana-70637	76	14	)	)	PUNCT
bibechana-70637	76	15	may	may	AUX
bibechana-70637	76	16	be	be	AUX
bibechana-70637	76	17	used	use	VERB
bibechana-70637	76	18	for	for	ADP
bibechana-70637	76	19	small	small	ADJ
bibechana-70637	76	20	and	and	CCONJ
bibechana-70637	76	21	intermediate	intermediate	ADJ
bibechana-70637	76	22	earthquake	earthquake	NOUN
bibechana-70637	76	23	prediction	prediction	NOUN
bibechana-70637	76	24	while	while	SCONJ
bibechana-70637	76	25	recurrent	recurrent	ADJ
bibechana-70637	76	26	neural	neural	ADJ
bibechana-70637	76	27	networks	network	NOUN
bibechana-70637	76	28	(	(	PUNCT
bibechana-70637	76	29	rnns	rnns	PROPN
bibechana-70637	76	30	)	)	PUNCT
bibechana-70637	76	31	may	may	AUX
bibechana-70637	76	32	be	be	AUX
bibechana-70637	76	33	utilized	utilize	VERB
bibechana-70637	76	34	for	for	ADP
bibechana-70637	76	35	earthquakes	earthquake	NOUN
bibechana-70637	76	36	of	of	ADP
bibechana-70637	76	37	large	large	ADJ
bibechana-70637	76	38	magnitude	magnitude	NOUN
bibechana-70637	76	39	.	.	PUNCT
bibechana-70637	77	1	according	accord	VERB
bibechana-70637	77	2	to	to	ADP
bibechana-70637	77	3	a	a	DET
bibechana-70637	77	4	comparative	comparative	ADJ
bibechana-70637	77	5	study	study	NOUN
bibechana-70637	77	6	employing	employ	VERB
bibechana-70637	77	7	ann	ann	PROPN
bibechana-70637	77	8	technology	technology	PROPN
bibechana-70637	77	9	and	and	CCONJ
bibechana-70637	77	10	non	non	ADJ
bibechana-70637	77	11	-	-	ADJ
bibechana-70637	77	12	linear	linear	ADJ
bibechana-70637	77	13	predictability	predictability	NOUN
bibechana-70637	77	14	assessments	assessment	NOUN
bibechana-70637	77	15	,	,	PUNCT
bibechana-70637	77	16	the	the	DET
bibechana-70637	77	17	dynamics	dynamic	NOUN
bibechana-70637	77	18	of	of	ADP
bibechana-70637	77	19	earthquakes	earthquake	NOUN
bibechana-70637	77	20	in	in	ADP
bibechana-70637	77	21	the	the	DET
bibechana-70637	77	22	north	north	NOUN
bibechana-70637	77	23	-	-	PUNCT
bibechana-70637	77	24	east	east	NOUN
bibechana-70637	77	25	india	india	PROPN
bibechana-70637	77	26	region	region	NOUN
bibechana-70637	77	27	were	be	AUX
bibechana-70637	77	28	found	find	VERB
bibechana-70637	77	29	to	to	PART
bibechana-70637	77	30	be	be	AUX
bibechana-70637	77	31	stochastically	stochastically	ADV
bibechana-70637	77	32	scaled	scale	VERB
bibechana-70637	77	33	process	process	NOUN
bibechana-70637	77	34	[	[	X
bibechana-70637	77	35	30	30	NUM
bibechana-70637	77	36	]	]	PUNCT
bibechana-70637	77	37	.	.	PUNCT
bibechana-70637	78	1	in	in	ADP
bibechana-70637	78	2	a	a	DET
bibechana-70637	78	3	study	study	NOUN
bibechana-70637	78	4	conducted	conduct	VERB
bibechana-70637	78	5	in	in	ADP
bibechana-70637	78	6	hindukush	hindukush	NOUN
bibechana-70637	78	7	region	region	NOUN
bibechana-70637	78	8	by	by	ADP
bibechana-70637	78	9	the	the	DET
bibechana-70637	78	10	application	application	NOUN
bibechana-70637	78	11	of	of	ADP
bibechana-70637	78	12	four	four	NUM
bibechana-70637	78	13	machine	machine	NOUN
bibechana-70637	78	14	learning	learn	VERB
bibechana-70637	78	15	algorithms	algorithm	NOUN
bibechana-70637	78	16	on	on	ADP
bibechana-70637	78	17	a	a	DET
bibechana-70637	78	18	temporal	temporal	ADJ
bibechana-70637	78	19	distribution	distribution	NOUN
bibechana-70637	78	20	of	of	ADP
bibechana-70637	78	21	past	past	ADJ
bibechana-70637	78	22	earthquakes	earthquake	NOUN
bibechana-70637	78	23	,	,	PUNCT
bibechana-70637	78	24	the	the	DET
bibechana-70637	78	25	accuracy	accuracy	NOUN
bibechana-70637	78	26	to	to	PART
bibechana-70637	78	27	predict	predict	VERB
bibechana-70637	78	28	the	the	DET
bibechana-70637	78	29	earthquakes	earthquake	NOUN
bibechana-70637	78	30	is	be	AUX
bibechana-70637	78	31	noticed	notice	VERB
bibechana-70637	78	32	to	to	PART
bibechana-70637	78	33	be	be	AUX
bibechana-70637	78	34	65	65	NUM
bibechana-70637	78	35	%	%	NOUN
bibechana-70637	78	36	on	on	ADP
bibechana-70637	78	37	linear	linear	ADJ
bibechana-70637	78	38	programming	programming	NOUN
bibechana-70637	78	39	boost	boost	NOUN
bibechana-70637	78	40	ensemble	ensemble	ADJ
bibechana-70637	78	41	while	while	SCONJ
bibechana-70637	78	42	58	58	NUM
bibechana-70637	78	43	%	%	NOUN
bibechana-70637	78	44	and	and	CCONJ
bibechana-70637	78	45	62	62	NUM
bibechana-70637	78	46	%	%	NOUN
bibechana-70637	78	47	for	for	ADP
bibechana-70637	78	48	rnn	rnn	NOUN
bibechana-70637	78	49	and	and	CCONJ
bibechana-70637	78	50	random	random	ADJ
bibechana-70637	78	51	forest	forest	NOUN
bibechana-70637	79	1	[	[	X
bibechana-70637	79	2	31	31	NUM
bibechana-70637	79	3	]	]	PUNCT
bibechana-70637	79	4	.	.	PUNCT
bibechana-70637	80	1	the	the	DET
bibechana-70637	80	2	aim	aim	NOUN
bibechana-70637	80	3	of	of	ADP
bibechana-70637	80	4	this	this	DET
bibechana-70637	80	5	study	study	NOUN
bibechana-70637	80	6	is	be	AUX
bibechana-70637	80	7	to	to	PART
bibechana-70637	80	8	utilize	utilize	VERB
bibechana-70637	80	9	historical	historical	ADJ
bibechana-70637	80	10	seismic	seismic	ADJ
bibechana-70637	80	11	data	datum	NOUN
bibechana-70637	80	12	,	,	PUNCT
bibechana-70637	80	13	including	include	VERB
bibechana-70637	80	14	date	date	NOUN
bibechana-70637	80	15	,	,	PUNCT
bibechana-70637	80	16	time	time	NOUN
bibechana-70637	80	17	,	,	PUNCT
bibechana-70637	80	18	latitude	latitude	NOUN
bibechana-70637	80	19	,	,	PUNCT
bibechana-70637	80	20	and	and	CCONJ
bibechana-70637	80	21	longitude	longitude	VERB
bibechana-70637	80	22	to	to	PART
bibechana-70637	80	23	create	create	VERB
bibechana-70637	80	24	predictive	predictive	ADJ
bibechana-70637	80	25	algorithms	algorithm	NOUN
bibechana-70637	80	26	that	that	PRON
bibechana-70637	80	27	can	can	AUX
bibechana-70637	80	28	predict	predict	VERB
bibechana-70637	80	29	the	the	DET
bibechana-70637	80	30	magnitude	magnitude	NOUN
bibechana-70637	80	31	and	and	CCONJ
bibechana-70637	80	32	compare	compare	VERB
bibechana-70637	80	33	it	it	PRON
bibechana-70637	80	34	with	with	ADP
bibechana-70637	80	35	the	the	DET
bibechana-70637	80	36	actual	actual	ADJ
bibechana-70637	80	37	magnitude	magnitude	NOUN
bibechana-70637	80	38	of	of	ADP
bibechana-70637	80	39	the	the	DET
bibechana-70637	80	40	earthquakes	earthquake	NOUN
bibechana-70637	80	41	in	in	ADP
bibechana-70637	80	42	central	central	ADJ
bibechana-70637	80	43	himalayan	himalayan	ADJ
bibechana-70637	80	44	region	region	NOUN
bibechana-70637	80	45	.	.	PUNCT
bibechana-70637	81	1	the	the	DET
bibechana-70637	81	2	primary	primary	ADJ
bibechana-70637	81	3	challenge	challenge	NOUN
bibechana-70637	81	4	is	be	AUX
bibechana-70637	81	5	to	to	PART
bibechana-70637	81	6	design	design	VERB
bibechana-70637	81	7	and	and	CCONJ
bibechana-70637	81	8	train	train	NOUN
bibechana-70637	81	9	machine	machine	NOUN
bibechana-70637	81	10	learning	learning	NOUN
bibechana-70637	81	11	models	model	NOUN
bibechana-70637	81	12	that	that	PRON
bibechana-70637	81	13	enhances	enhance	VERB
bibechana-70637	81	14	our	our	PRON
bibechana-70637	81	15	ability	ability	NOUN
bibechana-70637	81	16	to	to	PART
bibechana-70637	81	17	predict	predict	VERB
bibechana-70637	81	18	earthquake	earthquake	NOUN
bibechana-70637	81	19	magnitudes	magnitude	NOUN
bibechana-70637	81	20	accurately	accurately	ADV
bibechana-70637	81	21	,	,	PUNCT
bibechana-70637	81	22	aiding	aid	VERB
bibechana-70637	81	23	in	in	ADP
bibechana-70637	81	24	disaster	disaster	NOUN
bibechana-70637	81	25	preparedness	preparedness	NOUN
bibechana-70637	81	26	and	and	CCONJ
bibechana-70637	81	27	response	response	NOUN
bibechana-70637	81	28	efforts	effort	NOUN
bibechana-70637	81	29	.	.	PUNCT
bibechana-70637	82	1	2	2	NUM
bibechana-70637	82	2	data	datum	NOUN
bibechana-70637	82	3	and	and	CCONJ
bibechana-70637	82	4	methodology	methodology	NOUN
bibechana-70637	82	5	this	this	DET
bibechana-70637	82	6	research	research	NOUN
bibechana-70637	82	7	is	be	AUX
bibechana-70637	82	8	quantitative	quantitative	ADJ
bibechana-70637	82	9	and	and	CCONJ
bibechana-70637	82	10	based	base	VERB
bibechana-70637	82	11	on	on	ADP
bibechana-70637	82	12	quantitative	quantitative	ADJ
bibechana-70637	82	13	earthquake	earthquake	NOUN
bibechana-70637	82	14	data	datum	NOUN
bibechana-70637	82	15	like	like	ADP
bibechana-70637	82	16	magnitude	magnitude	NOUN
bibechana-70637	82	17	,	,	PUNCT
bibechana-70637	82	18	latitude	latitude	NOUN
bibechana-70637	82	19	,	,	PUNCT
bibechana-70637	82	20	longitude	longitude	NOUN
bibechana-70637	82	21	,	,	PUNCT
bibechana-70637	82	22	and	and	CCONJ
bibechana-70637	82	23	focal	focal	ADJ
bibechana-70637	82	24	depth	depth	NOUN
bibechana-70637	82	25	.	.	PUNCT
bibechana-70637	83	1	the	the	DET
bibechana-70637	83	2	data	datum	NOUN
bibechana-70637	83	3	extracted	extract	VERB
bibechana-70637	83	4	from	from	ADP
bibechana-70637	83	5	the	the	DET
bibechana-70637	83	6	international	international	ADJ
bibechana-70637	83	7	seismological	seismological	ADJ
bibechana-70637	83	8	centre	centre	NOUN
bibechana-70637	83	9	(	(	PUNCT
bibechana-70637	83	10	isc	isc	PROPN
bibechana-70637	83	11	)	)	PUNCT
bibechana-70637	83	12	catalog	catalog	NOUN
bibechana-70637	83	13	for	for	ADP
bibechana-70637	83	14	the	the	DET
bibechana-70637	83	15	period	period	NOUN
bibechana-70637	83	16	between	between	ADP
bibechana-70637	83	17	february	february	PROPN
bibechana-70637	83	18	1	1	NUM
bibechana-70637	83	19	,	,	PUNCT
bibechana-70637	83	20	1964	1964	NUM
bibechana-70637	83	21	,	,	PUNCT
bibechana-70637	83	22	and	and	CCONJ
bibechana-70637	83	23	december	december	PROPN
bibechana-70637	83	24	27	27	NUM
bibechana-70637	83	25	,	,	PUNCT
bibechana-70637	83	26	2022	2022	NUM
bibechana-70637	83	27	[	[	X
bibechana-70637	83	28	32	32	NUM
bibechana-70637	83	29	]	]	PUNCT
bibechana-70637	83	30	,	,	PUNCT
bibechana-70637	83	31	included	include	VERB
bibechana-70637	83	32	additional	additional	ADJ
bibechana-70637	83	33	entries	entry	NOUN
bibechana-70637	83	34	such	such	ADJ
bibechana-70637	83	35	as	as	ADP
bibechana-70637	83	36	event	event	NOUN
bibechana-70637	83	37	identification	identification	NOUN
bibechana-70637	83	38	numbers	number	NOUN
bibechana-70637	83	39	,	,	PUNCT
bibechana-70637	83	40	author	author	NOUN
bibechana-70637	83	41	names	name	NOUN
bibechana-70637	83	42	,	,	PUNCT
bibechana-70637	83	43	station	station	NOUN
bibechana-70637	83	44	codes	code	NOUN
bibechana-70637	83	45	,	,	PUNCT
bibechana-70637	83	46	and	and	CCONJ
bibechana-70637	83	47	phase	phase	NOUN
bibechana-70637	83	48	data	datum	NOUN
bibechana-70637	83	49	,	,	PUNCT
bibechana-70637	83	50	which	which	PRON
bibechana-70637	83	51	were	be	AUX
bibechana-70637	83	52	deemed	deem	VERB
bibechana-70637	83	53	irrelevant	irrelevant	ADJ
bibechana-70637	83	54	for	for	ADP
bibechana-70637	83	55	this	this	DET
bibechana-70637	83	56	study	study	NOUN
bibechana-70637	83	57	and	and	CCONJ
bibechana-70637	83	58	excluded	exclude	VERB
bibechana-70637	83	59	.	.	PUNCT
bibechana-70637	84	1	the	the	DET
bibechana-70637	84	2	catalog	catalog	NOUN
bibechana-70637	84	3	was	be	AUX
bibechana-70637	84	4	further	far	ADV
bibechana-70637	84	5	processed	process	VERB
bibechana-70637	84	6	to	to	PART
bibechana-70637	84	7	identify	identify	VERB
bibechana-70637	84	8	missing	missing	ADJ
bibechana-70637	84	9	values	value	NOUN
bibechana-70637	84	10	in	in	ADP
bibechana-70637	84	11	critical	critical	ADJ
bibechana-70637	84	12	attributes	attribute	NOUN
bibechana-70637	84	13	like	like	ADP
bibechana-70637	84	14	magnitude	magnitude	NOUN
bibechana-70637	84	15	,	,	PUNCT
bibechana-70637	84	16	depth	depth	NOUN
bibechana-70637	84	17	,	,	PUNCT
bibechana-70637	84	18	latitude	latitude	NOUN
bibechana-70637	84	19	,	,	PUNCT
bibechana-70637	84	20	and	and	CCONJ
bibechana-70637	84	21	longitude	longitude	NOUN
bibechana-70637	84	22	,	,	PUNCT
bibechana-70637	84	23	with	with	ADP
bibechana-70637	84	24	incomplete	incomplete	ADJ
bibechana-70637	84	25	records	record	NOUN
bibechana-70637	84	26	removed	remove	VERB
bibechana-70637	84	27	.	.	PUNCT
bibechana-70637	85	1	the	the	DET
bibechana-70637	85	2	final	final	ADJ
bibechana-70637	85	3	dataset	dataset	NOUN
bibechana-70637	85	4	comprises	comprise	VERB
bibechana-70637	85	5	2595	2595	NUM
bibechana-70637	85	6	earthquakes	earthquake	NOUN
bibechana-70637	85	7	,	,	PUNCT
bibechana-70637	85	8	with	with	ADP
bibechana-70637	85	9	magnitudes	magnitude	NOUN
bibechana-70637	85	10	ranging	range	VERB
bibechana-70637	85	11	from	from	ADP
bibechana-70637	85	12	2.9	2.9	NUM
bibechana-70637	85	13	to	to	ADP
bibechana-70637	85	14	6.9	6.9	NUM
bibechana-70637	85	15	.	.	PUNCT
bibechana-70637	86	1	after	after	ADP
bibechana-70637	86	2	compilation	compilation	NOUN
bibechana-70637	86	3	,	,	PUNCT
bibechana-70637	86	4	the	the	DET
bibechana-70637	86	5	data	datum	NOUN
bibechana-70637	86	6	was	be	AUX
bibechana-70637	86	7	thoroughly	thoroughly	ADV
bibechana-70637	86	8	cleaned	clean	VERB
bibechana-70637	86	9	,	,	PUNCT
bibechana-70637	86	10	formatted	format	VERB
bibechana-70637	86	11	,	,	PUNCT
bibechana-70637	86	12	and	and	CCONJ
bibechana-70637	86	13	stripped	strip	VERB
bibechana-70637	86	14	of	of	ADP
bibechana-70637	86	15	missing	miss	VERB
bibechana-70637	86	16	or	or	CCONJ
bibechana-70637	86	17	damaged	damage	VERB
bibechana-70637	86	18	entries	entry	NOUN
bibechana-70637	86	19	to	to	PART
bibechana-70637	86	20	ensure	ensure	VERB
bibechana-70637	86	21	its	its	PRON
bibechana-70637	86	22	suitability	suitability	NOUN
bibechana-70637	86	23	for	for	ADP
bibechana-70637	86	24	analysis	analysis	NOUN
bibechana-70637	86	25	.	.	PUNCT
bibechana-70637	87	1	the	the	DET
bibechana-70637	87	2	three	three	NUM
bibechana-70637	87	3	models	model	NOUN
bibechana-70637	87	4	,	,	PUNCT
bibechana-70637	87	5	namely	namely	ADV
bibechana-70637	87	6	random	random	ADJ
bibechana-70637	87	7	forest	forest	NOUN
bibechana-70637	87	8	regressor	regressor	NOUN
bibechana-70637	87	9	(	(	PUNCT
bibechana-70637	87	10	rfr	rfr	PROPN
bibechana-70637	87	11	)	)	PUNCT
bibechana-70637	87	12	,	,	PUNCT
bibechana-70637	87	13	multi	multi	ADJ
bibechana-70637	87	14	-	-	ADJ
bibechana-70637	87	15	layer	layer	ADJ
bibechana-70637	87	16	perceptron	perceptron	PROPN
bibechana-70637	87	17	regressor	regressor	NOUN
bibechana-70637	87	18	(	(	PUNCT
bibechana-70637	87	19	mlpr	mlpr	PROPN
bibechana-70637	87	20	)	)	PUNCT
bibechana-70637	87	21	,	,	PUNCT
bibechana-70637	87	22	and	and	CCONJ
bibechana-70637	87	23	support	support	VERB
bibechana-70637	87	24	vector	vector	NOUN
bibechana-70637	87	25	regressor	regressor	NOUN
bibechana-70637	87	26	(	(	PUNCT
bibechana-70637	87	27	svr	svr	PROPN
bibechana-70637	87	28	)	)	PUNCT
bibechana-70637	87	29	are	be	AUX
bibechana-70637	87	30	selected	select	VERB
bibechana-70637	87	31	over	over	ADP
bibechana-70637	87	32	others	other	NOUN
bibechana-70637	87	33	for	for	ADP
bibechana-70637	87	34	their	their	PRON
bibechana-70637	87	35	proven	prove	VERB
bibechana-70637	87	36	capability	capability	NOUN
bibechana-70637	87	37	to	to	PART
bibechana-70637	87	38	manage	manage	VERB
bibechana-70637	87	39	the	the	DET
bibechana-70637	87	40	inherent	inherent	ADJ
bibechana-70637	87	41	complexities	complexity	NOUN
bibechana-70637	87	42	of	of	ADP
bibechana-70637	87	43	the	the	DET
bibechana-70637	87	44	dataset	dataset	NOUN
bibechana-70637	87	45	,	,	PUNCT
bibechana-70637	87	46	such	such	ADJ
bibechana-70637	87	47	as	as	ADP
bibechana-70637	87	48	non	non	ADJ
bibechana-70637	87	49	-	-	ADJ
bibechana-70637	87	50	linearity	linearity	ADJ
bibechana-70637	87	51	,	,	PUNCT
bibechana-70637	87	52	high	high	ADJ
bibechana-70637	87	53	-	-	PUNCT
bibechana-70637	87	54	dimensionality	dimensionality	NOUN
bibechana-70637	87	55	,	,	PUNCT
bibechana-70637	87	56	and	and	CCONJ
bibechana-70637	87	57	data	datum	NOUN
bibechana-70637	87	58	noise	noise	NOUN
bibechana-70637	87	59	[	[	X
bibechana-70637	87	60	33	33	NUM
bibechana-70637	87	61	,	,	PUNCT
bibechana-70637	87	62	34	34	NUM
bibechana-70637	87	63	]	]	PUNCT
bibechana-70637	87	64	.	.	PUNCT
bibechana-70637	88	1	the	the	DET
bibechana-70637	88	2	data	datum	NOUN
bibechana-70637	88	3	processing	processing	NOUN
bibechana-70637	88	4	in	in	ADP
bibechana-70637	88	5	this	this	DET
bibechana-70637	88	6	study	study	NOUN
bibechana-70637	88	7	involves	involve	VERB
bibechana-70637	88	8	configuring	configure	VERB
bibechana-70637	88	9	key	key	ADJ
bibechana-70637	88	10	hyper	hyper	ADJ
bibechana-70637	88	11	parameters	parameter	NOUN
bibechana-70637	88	12	across	across	ADP
bibechana-70637	88	13	these	these	DET
bibechana-70637	88	14	models	model	NOUN
bibechana-70637	88	15	.	.	PUNCT
bibechana-70637	89	1	for	for	ADP
bibechana-70637	89	2	rfr	rfr	PROPN
bibechana-70637	89	3	,	,	PUNCT
bibechana-70637	89	4	bootstrapping	bootstrappe	VERB
bibechana-70637	89	5	is	be	AUX
bibechana-70637	89	6	enabled	enable	VERB
bibechana-70637	89	7	(	(	PUNCT
bibechana-70637	89	8	bootstrap	bootstrap	NOUN
bibechana-70637	89	9	=	=	NOUN
bibechana-70637	89	10	true	true	ADJ
bibechana-70637	89	11	)	)	PUNCT
bibechana-70637	89	12	,	,	PUNCT
bibechana-70637	89	13	and	and	CCONJ
bibechana-70637	89	14	the	the	DET
bibechana-70637	89	15	model	model	NOUN
bibechana-70637	89	16	uses	use	VERB
bibechana-70637	89	17	all	all	DET
bibechana-70637	89	18	features	feature	NOUN
bibechana-70637	89	19	for	for	ADP
bibechana-70637	89	20	each	each	DET
bibechana-70637	89	21	split	split	NOUN
bibechana-70637	89	22	(	(	PUNCT
bibechana-70637	89	23	max_features=1.0	max_features=1.0	NOUN
bibechana-70637	89	24	)	)	PUNCT
bibechana-70637	89	25	,	,	PUNCT
bibechana-70637	89	26	with	with	ADP
bibechana-70637	89	27	trees	tree	NOUN
bibechana-70637	89	28	growing	grow	VERB
bibechana-70637	89	29	until	until	SCONJ
bibechana-70637	89	30	leaves	leave	NOUN
bibechana-70637	89	31	are	be	AUX
bibechana-70637	89	32	pure	pure	ADJ
bibechana-70637	89	33	or	or	CCONJ
bibechana-70637	89	34	contain	contain	VERB
bibechana-70637	89	35	fewer	few	ADJ
bibechana-70637	89	36	than	than	ADP
bibechana-70637	89	37	2	2	NUM
bibechana-70637	89	38	samples	sample	NOUN
bibechana-70637	89	39	(	(	PUNCT
bibechana-70637	89	40	min_samples_split=2	min_samples_split=2	NUM
bibechana-70637	89	41	)	)	PUNCT
bibechana-70637	89	42	.	.	PUNCT
bibechana-70637	90	1	it	it	PRON
bibechana-70637	90	2	employs	employ	VERB
bibechana-70637	90	3	the	the	DET
bibechana-70637	90	4	'	'	PUNCT
bibechana-70637	90	5	squared_error	squared_error	NOUN
bibechana-70637	90	6	'	'	PUNCT
bibechana-70637	90	7	criterion	criterion	NOUN
bibechana-70637	90	8	to	to	PART
bibechana-70637	90	9	minimize	minimize	VERB
bibechana-70637	90	10	mean	mean	VERB
bibechana-70637	90	11	squared	square	VERB
bibechana-70637	90	12	error	error	NOUN
bibechana-70637	90	13	and	and	CCONJ
bibechana-70637	90	14	uses	use	VERB
bibechana-70637	90	15	100	100	NUM
bibechana-70637	90	16	trees	tree	NOUN
bibechana-70637	90	17	(	(	PUNCT
bibechana-70637	90	18	n_estimators=100	n_estimators=100	PROPN
bibechana-70637	90	19	)	)	PUNCT
bibechana-70637	90	20	.	.	PUNCT
bibechana-70637	91	1	the	the	DET
bibechana-70637	91	2	mlpr	mlpr	PROPN
bibechana-70637	91	3	is	be	AUX
bibechana-70637	91	4	configured	configure	VERB
bibechana-70637	91	5	with	with	ADP
bibechana-70637	91	6	the	the	DET
bibechana-70637	91	7	'	'	PUNCT
bibechana-70637	91	8	tanh	tanh	NOUN
bibechana-70637	91	9	'	'	PUNCT
bibechana-70637	91	10	activation	activation	NOUN
bibechana-70637	91	11	function	function	NOUN
bibechana-70637	91	12	,	,	PUNCT
bibechana-70637	91	13	a	a	DET
bibechana-70637	91	14	learning	learning	NOUN
bibechana-70637	91	15	rate	rate	NOUN
bibechana-70637	91	16	of	of	ADP
bibechana-70637	91	17	0.001	0.001	NUM
bibechana-70637	91	18	(	(	PUNCT
bibechana-70637	91	19	learning_rate_init=0.001	learning_rate_init=0.001	NUM
bibechana-70637	91	20	)	)	PUNCT
bibechana-70637	91	21	,	,	PUNCT
bibechana-70637	91	22	and	and	CCONJ
bibechana-70637	91	23	500	500	NUM
bibechana-70637	91	24	neurons	neuron	NOUN
bibechana-70637	91	25	in	in	ADP
bibechana-70637	91	26	the	the	DET
bibechana-70637	91	27	hidden	hide	VERB
bibechana-70637	91	28	layer	layer	NOUN
bibechana-70637	91	29	(	(	PUNCT
bibechana-70637	91	30	hidden_layer_sizes=500	hidden_layer_sizes=500	NOUN
bibechana-70637	91	31	)	)	PUNCT
bibechana-70637	91	32	,	,	PUNCT
bibechana-70637	91	33	utilizing	utilize	VERB
bibechana-70637	91	34	the	the	DET
bibechana-70637	91	35	'	'	PUNCT
bibechana-70637	91	36	sgd	sgd	PROPN
bibechana-70637	91	37	'	'	PUNCT
bibechana-70637	91	38	solver	solver	VERB
bibechana-70637	91	39	for	for	ADP
bibechana-70637	91	40	optimization	optimization	NOUN
bibechana-70637	91	41	.	.	PUNCT
bibechana-70637	92	1	it	it	PRON
bibechana-70637	92	2	runs	run	VERB
bibechana-70637	92	3	without	without	ADP
bibechana-70637	92	4	early	early	ADJ
bibechana-70637	92	5	stopping	stop	VERB
bibechana-70637	92	6	(	(	PUNCT
bibechana-70637	92	7	early_stopping	early_stoppe	VERB
bibechana-70637	92	8	=	=	NOUN
bibechana-70637	92	9	false	false	ADJ
bibechana-70637	92	10	)	)	PUNCT
bibechana-70637	92	11	and	and	CCONJ
bibechana-70637	92	12	continues	continue	VERB
bibechana-70637	92	13	until	until	ADP
bibechana-70637	92	14	reaching	reach	VERB
bibechana-70637	92	15	the	the	DET
bibechana-70637	92	16	maximum	maximum	ADJ
bibechana-70637	92	17	number	number	NOUN
bibechana-70637	92	18	of	of	ADP
bibechana-70637	92	19	iterations	iteration	NOUN
bibechana-70637	92	20	(	(	PUNCT
bibechana-70637	92	21	max_iter=100	max_iter=100	NOUN
bibechana-70637	92	22	)	)	PUNCT
bibechana-70637	92	23	.	.	PUNCT
bibechana-70637	93	1	the	the	DET
bibechana-70637	93	2	svr	svr	PROPN
bibechana-70637	93	3	model	model	NOUN
bibechana-70637	93	4	uses	use	VERB
bibechana-70637	93	5	an	an	DET
bibechana-70637	93	6	rbf	rbf	PROPN
bibechana-70637	93	7	kernel	kernel	PROPN
bibechana-70637	93	8	(	(	PUNCT
bibechana-70637	93	9	kernel='rbf	kernel='rbf	PROPN
bibechana-70637	93	10	'	'	PUNCT
bibechana-70637	93	11	)	)	PUNCT
bibechana-70637	93	12	with	with	ADP
bibechana-70637	93	13	a	a	DET
bibechana-70637	93	14	regularization	regularization	NOUN
bibechana-70637	93	15	parameter	parameter	NOUN
bibechana-70637	93	16	(	(	PUNCT
bibechana-70637	93	17	c=1.0	c=1.0	PROPN
bibechana-70637	93	18	)	)	PUNCT
bibechana-70637	93	19	and	and	CCONJ
bibechana-70637	93	20	an	an	DET
bibechana-70637	93	21	epsilon	epsilon	NOUN
bibechana-70637	93	22	of	of	ADP
bibechana-70637	93	23	0.1	0.1	NUM
bibechana-70637	93	24	to	to	PART
bibechana-70637	93	25	control	control	VERB
bibechana-70637	93	26	error	error	NOUN
bibechana-70637	93	27	margin	margin	NOUN
bibechana-70637	93	28	,	,	PUNCT
bibechana-70637	93	29	while	while	SCONJ
bibechana-70637	93	30	gamma	gamma	NOUN
bibechana-70637	93	31	is	be	AUX
bibechana-70637	93	32	set	set	VERB
bibechana-70637	93	33	to	to	ADP
bibechana-70637	93	34	'	'	PUNCT
bibechana-70637	93	35	auto	auto	NOUN
bibechana-70637	93	36	'	'	PUNCT
bibechana-70637	93	37	.	.	PUNCT
bibechana-70637	94	1	all	all	DET
bibechana-70637	94	2	models	model	NOUN
bibechana-70637	94	3	are	be	AUX
bibechana-70637	94	4	trained	train	VERB
bibechana-70637	94	5	with	with	ADP
bibechana-70637	94	6	random_state=0	random_state=0	NOUN
bibechana-70637	94	7	for	for	ADP
bibechana-70637	94	8	reproducibility	reproducibility	NOUN
bibechana-70637	94	9	,	,	PUNCT
bibechana-70637	94	10	and	and	CCONJ
bibechana-70637	94	11	verbose	verbose	VERB
bibechana-70637	94	12	output	output	NOUN
bibechana-70637	94	13	is	be	AUX
bibechana-70637	94	14	suppressed	suppress	VERB
bibechana-70637	94	15	(	(	PUNCT
bibechana-70637	94	16	verbose	verbose	VERB
bibechana-70637	94	17	=	=	NOUN
bibechana-70637	94	18	false	false	ADJ
bibechana-70637	94	19	)	)	PUNCT
bibechana-70637	94	20	.	.	PUNCT
bibechana-70637	95	1	these	these	DET
bibechana-70637	95	2	configurations	configuration	NOUN
bibechana-70637	95	3	collectively	collectively	ADV
bibechana-70637	95	4	guide	guide	VERB
bibechana-70637	95	5	the	the	DET
bibechana-70637	95	6	data	datum	NOUN
bibechana-70637	95	7	through	through	ADP
bibechana-70637	95	8	preprocessing	preprocessing	NOUN
bibechana-70637	95	9	,	,	PUNCT
bibechana-70637	95	10	transformation	transformation	NOUN
bibechana-70637	95	11	,	,	PUNCT
bibechana-70637	95	12	and	and	CCONJ
bibechana-70637	95	13	optimization	optimization	NOUN
bibechana-70637	95	14	steps	step	NOUN
bibechana-70637	95	15	to	to	PART
bibechana-70637	95	16	ensure	ensure	VERB
bibechana-70637	95	17	that	that	SCONJ
bibechana-70637	95	18	the	the	DET
bibechana-70637	95	19	machine	machine	NOUN
bibechana-70637	95	20	learning	learning	NOUN
bibechana-70637	95	21	models	model	NOUN
bibechana-70637	95	22	are	be	AUX
bibechana-70637	95	23	effectively	effectively	ADV
bibechana-70637	95	24	trained	train	VERB
bibechana-70637	95	25	and	and	CCONJ
bibechana-70637	95	26	evaluated.80	evaluated.80	NOUN
bibechana-70637	95	27	%	%	NOUN
bibechana-70637	95	28	of	of	ADP
bibechana-70637	95	29	the	the	DET
bibechana-70637	95	30	dataset	dataset	NOUN
bibechana-70637	95	31	was	be	AUX
bibechana-70637	95	32	provided	provide	VERB
bibechana-70637	95	33	for	for	ADP
bibechana-70637	95	34	training	training	NOUN
bibechana-70637	95	35	and	and	CCONJ
bibechana-70637	95	36	the	the	DET
bibechana-70637	95	37	remaining	remain	VERB
bibechana-70637	95	38	20	20	NUM
bibechana-70637	95	39	%	%	NOUN
bibechana-70637	95	40	for	for	ADP
bibechana-70637	95	41	testing	testing	NOUN
bibechana-70637	95	42	,	,	PUNCT
bibechana-70637	95	43	allowing	allow	VERB
bibechana-70637	95	44	for	for	ADP
bibechana-70637	95	45	proper	proper	ADJ
bibechana-70637	95	46	model	model	NOUN
bibechana-70637	95	47	evaluation	evaluation	NOUN
bibechana-70637	95	48	on	on	ADP
bibechana-70637	95	49	unseen	unseen	ADJ
bibechana-70637	95	50	data	datum	NOUN
bibechana-70637	95	51	(	(	PUNCT
bibechana-70637	95	52	aryal	aryal	PROPN
bibechana-70637	95	53	et	et	PROPN
bibechana-70637	95	54	al	al	PROPN
bibechana-70637	95	55	.	.	PROPN
bibechana-70637	95	56	,	,	PUNCT
bibechana-70637	95	57	2024	2024	NUM
bibechana-70637	95	58	)	)	PUNCT
bibechana-70637	95	59	.	.	PUNCT
bibechana-70637	96	1	thereafter	thereafter	ADV
bibechana-70637	96	2	,	,	PUNCT
bibechana-70637	96	3	numerical	numerical	ADJ
bibechana-70637	96	4	optimization	optimization	NOUN
bibechana-70637	96	5	algorithms	algorithm	NOUN
bibechana-70637	96	6	are	be	AUX
bibechana-70637	96	7	employed	employ	VERB
bibechana-70637	96	8	to	to	ADP
bibechana-70637	96	9	iteratively	iteratively	ADV
bibechana-70637	96	10	fine	fine	ADJ
bibechana-70637	96	11	-	-	PUNCT
bibechana-70637	96	12	tune	tune	NOUN
bibechana-70637	96	13	the	the	DET
bibechana-70637	96	14	model	model	NOUN
bibechana-70637	96	15	parameters	parameter	NOUN
bibechana-70637	96	16	using	use	VERB
bibechana-70637	96	17	a	a	DET
bibechana-70637	96	18	cost	cost	NOUN
bibechana-70637	96	19	function	function	NOUN
bibechana-70637	96	20	.	.	PUNCT
bibechana-70637	97	1	to	to	PART
bibechana-70637	97	2	evaluate	evaluate	VERB
bibechana-70637	97	3	the	the	DET
bibechana-70637	97	4	model	model	NOUN
bibechana-70637	97	5	's	's	PART
bibechana-70637	97	6	performance	performance	NOUN
bibechana-70637	97	7	,	,	PUNCT
bibechana-70637	97	8	we	we	PRON
bibechana-70637	97	9	calculate	calculate	VERB
bibechana-70637	97	10	metrics	metric	NOUN
bibechana-70637	97	11	such	such	ADJ
bibechana-70637	97	12	as	as	ADP
bibechana-70637	97	13	mean	mean	NOUN
bibechana-70637	97	14	absolute	absolute	ADJ
bibechana-70637	97	15	error	error	NOUN
bibechana-70637	97	16	(	(	PUNCT
bibechana-70637	97	17	mae	mae	PROPN
bibechana-70637	97	18	)	)	PUNCT
bibechana-70637	97	19	,	,	PUNCT
bibechana-70637	97	20	mean	mean	VERB
bibechana-70637	97	21	square	square	ADJ
bibechana-70637	97	22	error	error	NOUN
bibechana-70637	97	23	(	(	PUNCT
bibechana-70637	97	24	mse	mse	NOUN
bibechana-70637	97	25	)	)	PUNCT
bibechana-70637	97	26	,	,	PUNCT
bibechana-70637	97	27	and	and	CCONJ
bibechana-70637	97	28	root	root	NOUN
bibechana-70637	97	29	mean	mean	VERB
bibechana-70637	97	30	square	square	ADJ
bibechana-70637	97	31	error	error	NOUN
bibechana-70637	97	32	(	(	PUNCT
bibechana-70637	97	33	rmse	rmse	NOUN
bibechana-70637	97	34	)	)	PUNCT
bibechana-70637	97	35	.	.	PUNCT
bibechana-70637	98	1	finally	finally	ADV
bibechana-70637	98	2	,	,	PUNCT
bibechana-70637	98	3	the	the	DET
bibechana-70637	98	4	machine	machine	NOUN
bibechana-70637	98	5	learning	learning	NOUN
bibechana-70637	98	6	model	model	NOUN
bibechana-70637	98	7	is	be	AUX
bibechana-70637	98	8	employed	employ	VERB
bibechana-70637	98	9	to	to	PART
bibechana-70637	98	10	handle	handle	VERB
bibechana-70637	98	11	new	new	ADJ
bibechana-70637	98	12	data	datum	NOUN
bibechana-70637	98	13	.	.	PUNCT
bibechana-70637	99	1	3	3	NUM
bibechana-70637	99	2	results	result	NOUN
bibechana-70637	99	3	and	and	CCONJ
bibechana-70637	99	4	discussion	discussion	NOUN
bibechana-70637	99	5	machine	machine	NOUN
bibechana-70637	99	6	learning	learning	NOUN
bibechana-70637	99	7	offers	offer	VERB
bibechana-70637	99	8	promising	promise	VERB
bibechana-70637	99	9	capabilities	capability	NOUN
bibechana-70637	99	10	for	for	ADP
bibechana-70637	99	11	analyzing	analyze	VERB
bibechana-70637	99	12	historical	historical	ADJ
bibechana-70637	99	13	data	datum	NOUN
bibechana-70637	99	14	to	to	PART
bibechana-70637	99	15	predict	predict	VERB
bibechana-70637	99	16	earthquake	earthquake	NOUN
bibechana-70637	99	17	magnitudes	magnitude	NOUN
bibechana-70637	99	18	,	,	PUNCT
bibechana-70637	99	19	a	a	DET
bibechana-70637	99	20	task	task	NOUN
bibechana-70637	99	21	with	with	ADP
bibechana-70637	99	22	no	no	DET
bibechana-70637	99	23	definitive	definitive	ADJ
bibechana-70637	99	24	method	method	NOUN
bibechana-70637	99	25	yet	yet	ADV
bibechana-70637	99	26	.	.	PUNCT
bibechana-70637	100	1	this	this	DET
bibechana-70637	100	2	research	research	NOUN
bibechana-70637	100	3	leverages	leverage	VERB
bibechana-70637	100	4	data	datum	NOUN
bibechana-70637	100	5	from	from	ADP
bibechana-70637	100	6	2595	2595	NUM
bibechana-70637	100	7	seismic	seismic	ADJ
bibechana-70637	100	8	events	event	NOUN
bibechana-70637	100	9	and	and	CCONJ
bibechana-70637	100	10	applies	apply	VERB
bibechana-70637	100	11	random	random	ADJ
bibechana-70637	100	12	forest	forest	NOUN
bibechana-70637	100	13	regressor	regressor	NOUN
bibechana-70637	100	14	(	(	PUNCT
bibechana-70637	100	15	rfr	rfr	PROPN
bibechana-70637	100	16	)	)	PUNCT
bibechana-70637	100	17	,	,	PUNCT
bibechana-70637	100	18	support	support	NOUN
bibechana-70637	100	19	vector	vector	NOUN
bibechana-70637	100	20	regressor	regressor	NOUN
bibechana-70637	100	21	(	(	PUNCT
bibechana-70637	100	22	svr	svr	PROPN
bibechana-70637	100	23	)	)	PUNCT
bibechana-70637	100	24	,	,	PUNCT
bibechana-70637	100	25	and	and	CCONJ
bibechana-70637	100	26	multi	multi	ADJ
bibechana-70637	100	27	-	-	ADJ
bibechana-70637	100	28	layer	layer	ADJ
bibechana-70637	100	29	perceptron	perceptron	PROPN
bibechana-70637	100	30	regressor	regressor	NOUN
bibechana-70637	100	31	(	(	PUNCT
bibechana-70637	100	32	mlpr	mlpr	PROPN
bibechana-70637	100	33	)	)	PUNCT
bibechana-70637	100	34	.	.	PUNCT
bibechana-70637	101	1	these	these	DET
bibechana-70637	101	2	models	model	NOUN
bibechana-70637	101	3	were	be	AUX
bibechana-70637	101	4	chosen	choose	VERB
bibechana-70637	101	5	for	for	ADP
bibechana-70637	101	6	their	their	PRON
bibechana-70637	101	7	ability	ability	NOUN
bibechana-70637	101	8	to	to	PART
bibechana-70637	101	9	handle	handle	VERB
bibechana-70637	101	10	nonlinear	nonlinear	ADJ
bibechana-70637	101	11	relationships	relationship	NOUN
bibechana-70637	101	12	and	and	CCONJ
bibechana-70637	101	13	complex	complex	ADJ
bibechana-70637	101	14	geophysical	geophysical	ADJ
bibechana-70637	101	15	patterns	pattern	NOUN
bibechana-70637	101	16	:	:	PUNCT
bibechana-70637	101	17	rfr	rfr	PROPN
bibechana-70637	101	18	for	for	ADP
bibechana-70637	101	19	robustness	robustness	NOUN
bibechana-70637	101	20	and	and	CCONJ
bibechana-70637	101	21	feature	feature	NOUN
bibechana-70637	101	22	analysis	analysis	NOUN
bibechana-70637	101	23	,	,	PUNCT
bibechana-70637	101	24	svr	svr	VERB
bibechana-70637	101	25	for	for	ADP
bibechana-70637	101	26	modeling	modeling	NOUN
bibechana-70637	101	27	nonlinearities	nonlinearitie	NOUN
bibechana-70637	101	28	with	with	ADP
bibechana-70637	101	29	kernel	kernel	PROPN
bibechana-70637	101	30	methods	method	NOUN
bibechana-70637	101	31	,	,	PUNCT
bibechana-70637	101	32	and	and	CCONJ
bibechana-70637	101	33	mlpr	mlpr	NOUN
bibechana-70637	101	34	for	for	ADP
bibechana-70637	101	35	capturing	capture	VERB
bibechana-70637	101	36	intricate	intricate	ADJ
bibechana-70637	101	37	dependencies	dependency	NOUN
bibechana-70637	101	38	.	.	PUNCT
bibechana-70637	102	1	their	their	PRON
bibechana-70637	102	2	selection	selection	NOUN
bibechana-70637	102	3	is	be	AUX
bibechana-70637	102	4	supported	support	VERB
bibechana-70637	102	5	by	by	ADP
bibechana-70637	102	6	their	their	PRON
bibechana-70637	102	7	proven	prove	VERB
bibechana-70637	102	8	reliability	reliability	NOUN
bibechana-70637	102	9	in	in	ADP
bibechana-70637	102	10	similar	similar	ADJ
bibechana-70637	102	11	seismological	seismological	ADJ
bibechana-70637	102	12	studies	study	NOUN
bibechana-70637	102	13	[	[	X
bibechana-70637	102	14	33–35	33–35	NUM
bibechana-70637	102	15	]	]	PUNCT
bibechana-70637	102	16	.	.	PUNCT
bibechana-70637	103	1	we	we	PRON
bibechana-70637	103	2	have	have	AUX
bibechana-70637	103	3	tested	test	VERB
bibechana-70637	103	4	these	these	DET
bibechana-70637	103	5	methods	method	NOUN
bibechana-70637	103	6	to	to	PART
bibechana-70637	103	7	forecast	forecast	VERB
bibechana-70637	103	8	the	the	DET
bibechana-70637	103	9	magnitude	magnitude	NOUN
bibechana-70637	103	10	of	of	ADP
bibechana-70637	103	11	the	the	DET
bibechana-70637	103	12	earthquakes	earthquake	NOUN
bibechana-70637	103	13	that	that	PRON
bibechana-70637	103	14	hit	hit	VERB
bibechana-70637	103	15	the	the	DET
bibechana-70637	103	16	central	central	PROPN
bibechana-70637	103	17	himalaya	himalaya	PROPN
bibechana-70637	103	18	region	region	NOUN
bibechana-70637	103	19	in	in	ADP
bibechana-70637	103	20	the	the	DET
bibechana-70637	103	21	year	year	NOUN
bibechana-70637	103	22	2015	2015	NUM
bibechana-70637	103	23	and	and	CCONJ
bibechana-70637	103	24	comparison	comparison	NOUN
bibechana-70637	103	25	between	between	ADP
bibechana-70637	103	26	actual	actual	ADJ
bibechana-70637	103	27	magnitude	magnitude	NOUN
bibechana-70637	103	28	and	and	CCONJ
bibechana-70637	103	29	predicted	predict	VERB
bibechana-70637	103	30	magnitude	magnitude	NOUN
bibechana-70637	103	31	are	be	AUX
bibechana-70637	103	32	depicted	depict	VERB
bibechana-70637	103	33	by	by	ADP
bibechana-70637	103	34	the	the	DET
bibechana-70637	103	35	different	different	ADJ
bibechana-70637	103	36	plots	plot	NOUN
bibechana-70637	103	37	.	.	PUNCT
bibechana-70637	104	1	the	the	DET
bibechana-70637	104	2	density	density	NOUN
bibechana-70637	104	3	magnitude	magnitude	NOUN
bibechana-70637	104	4	plot	plot	NOUN
bibechana-70637	104	5	of	of	ADP
bibechana-70637	104	6	the	the	DET
bibechana-70637	104	7	dataset	dataset	NOUN
bibechana-70637	104	8	is	be	AUX
bibechana-70637	104	9	depicted	depict	VERB
bibechana-70637	104	10	by	by	ADP
bibechana-70637	104	11	figure	figure	NOUN
bibechana-70637	104	12	5	5	NUM
bibechana-70637	104	13	.	.	PUNCT
bibechana-70637	104	14	ram	ram	PROPN
bibechana-70637	104	15	krishna	krishna	PROPN
bibechana-70637	104	16	tiwari	tiwari	PROPN
bibechana-70637	104	17	et	et	PROPN
bibechana-70637	104	18	al./	al./	ADV
bibechana-70637	104	19	bibechana	bibechana	PROPN
bibechana-70637	104	20	22	22	NUM
bibechana-70637	104	21	(	(	PUNCT
bibechana-70637	104	22	2025	2025	NUM
bibechana-70637	104	23	)	)	PUNCT
bibechana-70637	104	24	22	22	NUM
bibechana-70637	104	25	-	-	SYM
bibechana-70637	104	26	29	29	NUM
bibechana-70637	104	27	26	26	NUM
bibechana-70637	104	28	figure	figure	NOUN
bibechana-70637	104	29	5	5	NUM
bibechana-70637	104	30	:	:	PUNCT
bibechana-70637	104	31	a	a	DET
bibechana-70637	104	32	density	density	NOUN
bibechana-70637	104	33	magnitude	magnitude	NOUN
bibechana-70637	104	34	plot	plot	NOUN
bibechana-70637	104	35	provides	provide	VERB
bibechana-70637	104	36	a	a	DET
bibechana-70637	104	37	visual	visual	ADJ
bibechana-70637	104	38	representation	representation	NOUN
bibechana-70637	104	39	of	of	ADP
bibechana-70637	104	40	the	the	DET
bibechana-70637	104	41	frequency	frequency	NOUN
bibechana-70637	104	42	of	of	ADP
bibechana-70637	104	43	earthquakes	earthquake	NOUN
bibechana-70637	104	44	at	at	ADP
bibechana-70637	104	45	different	different	ADJ
bibechana-70637	104	46	magnitudes	magnitude	NOUN
bibechana-70637	104	47	.	.	PUNCT
bibechana-70637	105	1	the	the	DET
bibechana-70637	105	2	y	y	NOUN
bibechana-70637	105	3	-	-	PUNCT
bibechana-70637	105	4	axis	axis	NOUN
bibechana-70637	105	5	represents	represent	VERB
bibechana-70637	105	6	the	the	DET
bibechana-70637	105	7	density	density	NOUN
bibechana-70637	105	8	of	of	ADP
bibechana-70637	105	9	earthquakes	earthquake	NOUN
bibechana-70637	105	10	,	,	PUNCT
bibechana-70637	105	11	often	often	ADV
bibechana-70637	105	12	measured	measure	VERB
bibechana-70637	105	13	as	as	ADP
bibechana-70637	105	14	the	the	DET
bibechana-70637	105	15	number	number	NOUN
bibechana-70637	105	16	of	of	ADP
bibechana-70637	105	17	earthquakes	earthquake	NOUN
bibechana-70637	105	18	per	per	ADP
bibechana-70637	105	19	unit	unit	NOUN
bibechana-70637	105	20	magnitude	magnitude	NOUN
bibechana-70637	105	21	.	.	PUNCT
bibechana-70637	106	1	this	this	PRON
bibechana-70637	106	2	shows	show	VERB
bibechana-70637	106	3	how	how	SCONJ
bibechana-70637	106	4	frequently	frequently	ADV
bibechana-70637	106	5	earthquakes	earthquake	NOUN
bibechana-70637	106	6	of	of	ADP
bibechana-70637	106	7	different	different	ADJ
bibechana-70637	106	8	magnitudes	magnitude	NOUN
bibechana-70637	106	9	occur	occur	VERB
bibechana-70637	106	10	within	within	ADP
bibechana-70637	106	11	the	the	DET
bibechana-70637	106	12	dataset	dataset	NOUN
bibechana-70637	106	13	.	.	PUNCT
bibechana-70637	107	1	it	it	PRON
bibechana-70637	107	2	tends	tend	VERB
bibechana-70637	107	3	to	to	PART
bibechana-70637	107	4	have	have	VERB
bibechana-70637	107	5	a	a	DET
bibechana-70637	107	6	higher	high	ADJ
bibechana-70637	107	7	density	density	NOUN
bibechana-70637	107	8	for	for	ADP
bibechana-70637	107	9	smaller	small	ADJ
bibechana-70637	107	10	magnitude	magnitude	NOUN
bibechana-70637	107	11	earthquakes	earthquake	NOUN
bibechana-70637	107	12	and	and	CCONJ
bibechana-70637	107	13	gradually	gradually	ADV
bibechana-70637	107	14	decreases	decrease	VERB
bibechana-70637	107	15	as	as	ADP
bibechana-70637	107	16	the	the	DET
bibechana-70637	107	17	magnitude	magnitude	NOUN
bibechana-70637	107	18	increases	increase	NOUN
bibechana-70637	107	19	.	.	PUNCT
bibechana-70637	108	1	a	a	DET
bibechana-70637	108	2	single	single	ADJ
bibechana-70637	108	3	higher	high	ADJ
bibechana-70637	108	4	peak	peak	NOUN
bibechana-70637	108	5	in	in	ADP
bibechana-70637	108	6	the	the	DET
bibechana-70637	108	7	plot	plot	NOUN
bibechana-70637	108	8	suggests	suggest	VERB
bibechana-70637	108	9	that	that	SCONJ
bibechana-70637	108	10	3.1	3.1	NUM
bibechana-70637	108	11	to	to	PART
bibechana-70637	108	12	5.4	5.4	NUM
bibechana-70637	108	13	magnitudes	magnitude	NOUN
bibechana-70637	108	14	are	be	AUX
bibechana-70637	108	15	predominant	predominant	ADJ
bibechana-70637	108	16	in	in	ADP
bibechana-70637	108	17	that	that	DET
bibechana-70637	108	18	region	region	NOUN
bibechana-70637	108	19	.	.	PUNCT
bibechana-70637	109	1	the	the	DET
bibechana-70637	109	2	plot	plot	NOUN
bibechana-70637	109	3	shows	show	VERB
bibechana-70637	109	4	a	a	DET
bibechana-70637	109	5	steep	steep	ADJ
bibechana-70637	109	6	decrease	decrease	NOUN
bibechana-70637	109	7	in	in	ADP
bibechana-70637	109	8	density	density	NOUN
bibechana-70637	109	9	as	as	ADP
bibechana-70637	109	10	magnitude	magnitude	NOUN
bibechana-70637	109	11	increases	increase	NOUN
bibechana-70637	109	12	which	which	PRON
bibechana-70637	109	13	suggests	suggest	VERB
bibechana-70637	109	14	that	that	SCONJ
bibechana-70637	109	15	there	there	PRON
bibechana-70637	109	16	are	be	VERB
bibechana-70637	109	17	fewer	few	ADJ
bibechana-70637	109	18	large	large	ADJ
bibechana-70637	109	19	earthquakes	earthquake	NOUN
bibechana-70637	109	20	,	,	PUNCT
bibechana-70637	109	21	a	a	DET
bibechana-70637	109	22	typical	typical	ADJ
bibechana-70637	109	23	characteristic	characteristic	NOUN
bibechana-70637	109	24	of	of	ADP
bibechana-70637	109	25	most	most	ADJ
bibechana-70637	109	26	seismically	seismically	ADV
bibechana-70637	109	27	active	active	ADJ
bibechana-70637	109	28	regions	region	NOUN
bibechana-70637	109	29	.	.	PUNCT
bibechana-70637	110	1	five	five	NUM
bibechana-70637	110	2	earthquakes	earthquake	NOUN
bibechana-70637	110	3	of	of	ADP
bibechana-70637	110	4	the	the	DET
bibechana-70637	110	5	year	year	NOUN
bibechana-70637	110	6	2015	2015	NUM
bibechana-70637	110	7	,	,	PUNCT
bibechana-70637	110	8	namely	namely	ADV
bibechana-70637	110	9	the	the	DET
bibechana-70637	110	10	gorkha	gorkha	ADJ
bibechana-70637	110	11	earthquake	earthquake	NOUN
bibechana-70637	110	12	(	(	PUNCT
bibechana-70637	110	13	6.9	6.9	NUM
bibechana-70637	110	14	mb	mb	NOUN
bibechana-70637	110	15	)	)	PUNCT
bibechana-70637	110	16	,	,	PUNCT
bibechana-70637	110	17	the	the	DET
bibechana-70637	110	18	kodari	kodari	ADJ
bibechana-70637	110	19	earthquake	earthquake	NOUN
bibechana-70637	110	20	(	(	PUNCT
bibechana-70637	110	21	6.7	6.7	NUM
bibechana-70637	110	22	mb	mb	NOUN
bibechana-70637	110	23	)	)	PUNCT
bibechana-70637	110	24	,	,	PUNCT
bibechana-70637	110	25	the	the	DET
bibechana-70637	110	26	magnitude	magnitude	NOUN
bibechana-70637	110	27	6.1	6.1	NUM
bibechana-70637	110	28	mb	mb	ADP
bibechana-70637	110	29	earthquake	earthquake	NOUN
bibechana-70637	110	30	,	,	PUNCT
bibechana-70637	110	31	the	the	DET
bibechana-70637	110	32	magnitude	magnitude	NOUN
bibechana-70637	110	33	6.5	6.5	NUM
bibechana-70637	110	34	mb	mb	ADP
bibechana-70637	110	35	earthquake	earthquake	NOUN
bibechana-70637	110	36	and	and	CCONJ
bibechana-70637	110	37	the	the	DET
bibechana-70637	110	38	magnitude	magnitude	NOUN
bibechana-70637	110	39	6.6	6.6	NUM
bibechana-70637	110	40	mb	mb	ADP
bibechana-70637	110	41	earthquake	earthquake	NOUN
bibechana-70637	110	42	of	of	ADP
bibechana-70637	110	43	diverse	diverse	ADJ
bibechana-70637	110	44	locations	location	NOUN
bibechana-70637	110	45	,	,	PUNCT
bibechana-70637	110	46	are	be	AUX
bibechana-70637	110	47	used	use	VERB
bibechana-70637	110	48	to	to	PART
bibechana-70637	110	49	assess	assess	VERB
bibechana-70637	110	50	the	the	DET
bibechana-70637	110	51	performance	performance	NOUN
bibechana-70637	110	52	of	of	ADP
bibechana-70637	110	53	the	the	DET
bibechana-70637	110	54	proposed	propose	VERB
bibechana-70637	110	55	techniques	technique	NOUN
bibechana-70637	110	56	.	.	PUNCT
bibechana-70637	111	1	the	the	DET
bibechana-70637	111	2	rfr	rfr	PROPN
bibechana-70637	111	3	,	,	PUNCT
bibechana-70637	111	4	mlpr	mlpr	PROPN
bibechana-70637	111	5	,	,	PUNCT
bibechana-70637	111	6	svr	svr	PROPN
bibechana-70637	111	7	models	model	NOUN
bibechana-70637	111	8	are	be	AUX
bibechana-70637	111	9	trained	train	VERB
bibechana-70637	111	10	and	and	CCONJ
bibechana-70637	111	11	tested	test	VERB
bibechana-70637	111	12	through	through	ADP
bibechana-70637	111	13	multiple	multiple	ADJ
bibechana-70637	111	14	cycles	cycle	NOUN
bibechana-70637	111	15	to	to	PART
bibechana-70637	111	16	refine	refine	VERB
bibechana-70637	111	17	their	their	PRON
bibechana-70637	111	18	performance	performance	NOUN
bibechana-70637	111	19	which	which	PRON
bibechana-70637	111	20	helps	help	VERB
bibechana-70637	111	21	to	to	PART
bibechana-70637	111	22	get	get	VERB
bibechana-70637	111	23	the	the	DET
bibechana-70637	111	24	minimum	minimum	ADJ
bibechana-70637	111	25	errors	error	NOUN
bibechana-70637	112	1	[	[	X
bibechana-70637	112	2	33,34,36,37	33,34,36,37	NUM
bibechana-70637	112	3	]	]	PUNCT
bibechana-70637	112	4	.	.	PUNCT
bibechana-70637	113	1	table	table	NOUN
bibechana-70637	113	2	1	1	NUM
bibechana-70637	113	3	gives	give	VERB
bibechana-70637	113	4	the	the	DET
bibechana-70637	113	5	predicted	predict	VERB
bibechana-70637	113	6	magnitude	magnitude	NOUN
bibechana-70637	113	7	and	and	CCONJ
bibechana-70637	113	8	actual	actual	ADJ
bibechana-70637	113	9	magnitude	magnitude	NOUN
bibechana-70637	113	10	of	of	ADP
bibechana-70637	113	11	above	above	ADV
bibechana-70637	113	12	-	-	PUNCT
bibechana-70637	113	13	mentioned	mention	VERB
bibechana-70637	113	14	earthquakes	earthquake	NOUN
bibechana-70637	113	15	and	and	CCONJ
bibechana-70637	113	16	heat	heat	NOUN
bibechana-70637	113	17	map	map	NOUN
bibechana-70637	113	18	of	of	ADP
bibechana-70637	113	19	predicted	predict	VERB
bibechana-70637	113	20	magnitude	magnitude	NOUN
bibechana-70637	113	21	is	be	AUX
bibechana-70637	113	22	presented	present	VERB
bibechana-70637	113	23	in	in	ADP
bibechana-70637	113	24	figure	figure	NOUN
bibechana-70637	113	25	6	6	NUM
bibechana-70637	113	26	.	.	PUNCT
bibechana-70637	113	27	figure	figure	VERB
bibechana-70637	113	28	6	6	NUM
bibechana-70637	113	29	:	:	PUNCT
bibechana-70637	113	30	a	a	DET
bibechana-70637	113	31	heat	heat	NOUN
bibechana-70637	113	32	map	map	NOUN
bibechana-70637	113	33	of	of	ADP
bibechana-70637	113	34	magnitude	magnitude	NOUN
bibechana-70637	113	35	predicted	predict	VERB
bibechana-70637	113	36	by	by	ADP
bibechana-70637	113	37	random	random	ADJ
bibechana-70637	113	38	forest	forest	NOUN
bibechana-70637	113	39	(	(	PUNCT
bibechana-70637	113	40	rfr	rfr	PROPN
bibechana-70637	113	41	)	)	PUNCT
bibechana-70637	113	42	,	,	PUNCT
bibechana-70637	113	43	multi	multi	ADJ
bibechana-70637	113	44	-	-	ADJ
bibechana-70637	113	45	layer	layer	ADJ
bibechana-70637	113	46	perceptron	perceptron	NOUN
bibechana-70637	113	47	(	(	PUNCT
bibechana-70637	113	48	mlpr	mlpr	PROPN
bibechana-70637	113	49	)	)	PUNCT
bibechana-70637	113	50	,	,	PUNCT
bibechana-70637	113	51	support	support	VERB
bibechana-70637	113	52	vector	vector	NOUN
bibechana-70637	113	53	regression	regression	NOUN
bibechana-70637	113	54	(	(	PUNCT
bibechana-70637	113	55	svr	svr	PROPN
bibechana-70637	113	56	)	)	PUNCT
bibechana-70637	113	57	for	for	ADP
bibechana-70637	113	58	the	the	DET
bibechana-70637	113	59	gorkha	gorkha	ADJ
bibechana-70637	113	60	earthquake	earthquake	NOUN
bibechana-70637	113	61	,	,	PUNCT
bibechana-70637	113	62	the	the	DET
bibechana-70637	113	63	kodari	kodari	ADJ
bibechana-70637	113	64	earthquake	earthquake	NOUN
bibechana-70637	113	65	,	,	PUNCT
bibechana-70637	113	66	the	the	DET
bibechana-70637	113	67	magnitude	magnitude	NOUN
bibechana-70637	113	68	6.1	6.1	NUM
bibechana-70637	113	69	earthquake	earthquake	NOUN
bibechana-70637	113	70	,	,	PUNCT
bibechana-70637	113	71	the	the	DET
bibechana-70637	113	72	magnitude	magnitude	NOUN
bibechana-70637	113	73	6.5	6.5	NUM
bibechana-70637	113	74	earthquake	earthquake	NOUN
bibechana-70637	113	75	and	and	CCONJ
bibechana-70637	113	76	the	the	DET
bibechana-70637	113	77	magnitude	magnitude	NOUN
bibechana-70637	113	78	6.6	6.6	NUM
bibechana-70637	113	79	earthquake	earthquake	NOUN
bibechana-70637	113	80	.	.	PUNCT
bibechana-70637	114	1	following	follow	VERB
bibechana-70637	114	2	the	the	DET
bibechana-70637	114	3	training	training	NOUN
bibechana-70637	114	4	phase	phase	NOUN
bibechana-70637	114	5	,	,	PUNCT
bibechana-70637	114	6	the	the	DET
bibechana-70637	114	7	model	model	NOUN
bibechana-70637	114	8	is	be	AUX
bibechana-70637	114	9	validated	validate	VERB
bibechana-70637	114	10	to	to	PART
bibechana-70637	114	11	forecast	forecast	VERB
bibechana-70637	114	12	the	the	DET
bibechana-70637	114	13	earthquake	earthquake	NOUN
bibechana-70637	114	14	exceeding	exceed	VERB
bibechana-70637	114	15	6.0	6.0	NUM
bibechana-70637	114	16	in	in	ADP
bibechana-70637	114	17	mb	mb	ADP
bibechana-70637	114	18	scale	scale	NOUN
bibechana-70637	114	19	and	and	CCONJ
bibechana-70637	114	20	the	the	DET
bibechana-70637	114	21	3d	3d	PROPN
bibechana-70637	114	22	plot	plot	NOUN
bibechana-70637	114	23	of	of	ADP
bibechana-70637	114	24	the	the	DET
bibechana-70637	114	25	predicted	predict	VERB
bibechana-70637	114	26	magnitude	magnitude	NOUN
bibechana-70637	114	27	and	and	CCONJ
bibechana-70637	114	28	actual	actual	ADJ
bibechana-70637	114	29	magnitude	magnitude	NOUN
bibechana-70637	114	30	plot	plot	NOUN
bibechana-70637	114	31	are	be	AUX
bibechana-70637	114	32	depicted	depict	VERB
bibechana-70637	114	33	by	by	ADP
bibechana-70637	114	34	figure	figure	NOUN
bibechana-70637	114	35	7	7	NUM
bibechana-70637	114	36	.	.	PUNCT
bibechana-70637	114	37	table	table	NOUN
bibechana-70637	114	38	1	1	NUM
bibechana-70637	114	39	:	:	PUNCT
bibechana-70637	114	40	predicted	predict	VERB
bibechana-70637	114	41	and	and	CCONJ
bibechana-70637	114	42	actual	actual	ADJ
bibechana-70637	114	43	magnitude	magnitude	NOUN
bibechana-70637	114	44	of	of	ADP
bibechana-70637	114	45	the	the	DET
bibechana-70637	114	46	earthquakes	earthquake	NOUN
bibechana-70637	114	47	.	.	PUNCT
bibechana-70637	115	1	name	name	PROPN
bibechana-70637	115	2	rfr	rfr	PROPN
bibechana-70637	115	3	based	base	VERB
bibechana-70637	115	4	magnitude	magnitude	PROPN
bibechana-70637	115	5	mlpr	mlpr	PROPN
bibechana-70637	115	6	based	base	VERB
bibechana-70637	115	7	magnitude	magnitude	NOUN
bibechana-70637	115	8	svr	svr	PROPN
bibechana-70637	115	9	based	base	VERB
bibechana-70637	115	10	magnitude	magnitude	NOUN
bibechana-70637	115	11	actual	actual	ADJ
bibechana-70637	115	12	magnitude	magnitude	NOUN
bibechana-70637	115	13	gorkha	gorkha	NOUN
bibechana-70637	115	14	eq	eq	ADP
bibechana-70637	115	15	6.24	6.24	NUM
bibechana-70637	115	16	4.09694	4.09694	NUM
bibechana-70637	115	17	4.61592	4.61592	NUM
bibechana-70637	115	18	6.9	6.9	NUM
bibechana-70637	115	19	kodari	kodari	NOUN
bibechana-70637	115	20	eq	eq	ADP
bibechana-70637	115	21	5.846	5.846	NUM
bibechana-70637	115	22	4.08975	4.08975	NUM
bibechana-70637	115	23	4.32297	4.32297	NUM
bibechana-70637	115	24	6.7	6.7	NUM
bibechana-70637	115	25	eq6.1	eq6.1	NUM
bibechana-70637	115	26	3.732	3.732	NUM
bibechana-70637	115	27	4.06169	4.06169	NUM
bibechana-70637	115	28	3.86912	3.86912	NUM
bibechana-70637	115	29	6.1	6.1	NUM
bibechana-70637	115	30	eq6.5	eq6.5	SYM
bibechana-70637	115	31	5.887	5.887	NUM
bibechana-70637	115	32	4.10614	4.10614	NUM
bibechana-70637	115	33	4.47054	4.47054	NUM
bibechana-70637	115	34	6.5	6.5	NUM
bibechana-70637	115	35	eq6.6	eq6.6	NUM
bibechana-70637	115	36	4.629	4.629	NUM
bibechana-70637	115	37	4.09994	4.09994	NUM
bibechana-70637	115	38	4.18434	4.18434	NUM
bibechana-70637	115	39	6.6	6.6	NUM
bibechana-70637	115	40	table	table	NOUN
bibechana-70637	115	41	2	2	NUM
bibechana-70637	115	42	:	:	PUNCT
bibechana-70637	115	43	adapted	adapt	VERB
bibechana-70637	115	44	machine	machine	NOUN
bibechana-70637	115	45	learning	learning	NOUN
bibechana-70637	115	46	model	model	NOUN
bibechana-70637	115	47	with	with	ADP
bibechana-70637	115	48	error	error	NOUN
bibechana-70637	115	49	and	and	CCONJ
bibechana-70637	115	50	accuracy	accuracy	NOUN
bibechana-70637	115	51	.	.	PUNCT
bibechana-70637	116	1	model	model	PROPN
bibechana-70637	116	2	mae	mae	PROPN
bibechana-70637	116	3	mse	mse	PROPN
bibechana-70637	116	4	rmse	rmse	PROPN
bibechana-70637	116	5	accuracy	accuracy	NOUN
bibechana-70637	116	6	of	of	ADP
bibechana-70637	116	7	model	model	NOUN
bibechana-70637	116	8	random	random	ADJ
bibechana-70637	116	9	forest	forest	NOUN
bibechana-70637	116	10	regressor	regressor	NOUN
bibechana-70637	116	11	(	(	PUNCT
bibechana-70637	116	12	rfr	rfr	PROPN
bibechana-70637	116	13	)	)	PUNCT
bibechana-70637	116	14	0.36	0.36	NUM
bibechana-70637	116	15	0.23	0.23	NUM
bibechana-70637	116	16	0.48	0.48	NUM
bibechana-70637	116	17	0.16	0.16	NUM
bibechana-70637	116	18	multi	multi	ADJ
bibechana-70637	116	19	-	-	ADJ
bibechana-70637	116	20	layer	layer	ADJ
bibechana-70637	116	21	perceptron	perceptron	PROPN
bibechana-70637	116	22	regressor	regressor	PROPN
bibechana-70637	116	23	(	(	PUNCT
bibechana-70637	116	24	mlpr	mlpr	PROPN
bibechana-70637	116	25	)	)	PUNCT
bibechana-70637	116	26	0.40	0.40	NUM
bibechana-70637	116	27	0.27	0.27	NUM
bibechana-70637	116	28	0.52	0.52	NUM
bibechana-70637	116	29	0.016	0.016	NUM
bibechana-70637	116	30	support	support	NOUN
bibechana-70637	116	31	vector	vector	NOUN
bibechana-70637	116	32	regressor	regressor	NOUN
bibechana-70637	116	33	(	(	PUNCT
bibechana-70637	116	34	svr	svr	PROPN
bibechana-70637	116	35	)	)	PUNCT
bibechana-70637	116	36	0.35	0.35	NUM
bibechana-70637	116	37	0.24	0.24	NUM
bibechana-70637	116	38	0.49	0.49	NUM
bibechana-70637	116	39	0.13	0.13	NUM
bibechana-70637	116	40	ram	ram	NOUN
bibechana-70637	116	41	krishna	krishna	PROPN
bibechana-70637	116	42	tiwari	tiwari	PROPN
bibechana-70637	116	43	et	et	PROPN
bibechana-70637	116	44	al./	al./	ADV
bibechana-70637	116	45	bibechana	bibechana	PROPN
bibechana-70637	116	46	22	22	NUM
bibechana-70637	116	47	(	(	PUNCT
bibechana-70637	116	48	2025	2025	NUM
bibechana-70637	116	49	)	)	PUNCT
bibechana-70637	116	50	22	22	NUM
bibechana-70637	116	51	-	-	SYM
bibechana-70637	116	52	29	29	NUM
bibechana-70637	116	53	27	27	NUM
bibechana-70637	116	54	the	the	DET
bibechana-70637	116	55	magnitude	magnitude	NOUN
bibechana-70637	116	56	predicted	predict	VERB
bibechana-70637	116	57	by	by	ADP
bibechana-70637	116	58	rfr	rfr	PROPN
bibechana-70637	116	59	is	be	AUX
bibechana-70637	116	60	close	close	ADJ
bibechana-70637	116	61	to	to	ADP
bibechana-70637	116	62	the	the	DET
bibechana-70637	116	63	actual	actual	ADJ
bibechana-70637	116	64	magnitude	magnitude	NOUN
bibechana-70637	116	65	of	of	ADP
bibechana-70637	116	66	the	the	DET
bibechana-70637	116	67	gorkha	gorkha	ADJ
bibechana-70637	116	68	earthquake	earthquake	NOUN
bibechana-70637	116	69	,	,	PUNCT
bibechana-70637	116	70	the	the	DET
bibechana-70637	116	71	kodari	kodari	ADJ
bibechana-70637	116	72	earthquake	earthquake	NOUN
bibechana-70637	116	73	,	,	PUNCT
bibechana-70637	116	74	and	and	CCONJ
bibechana-70637	116	75	the	the	DET
bibechana-70637	116	76	magnitude	magnitude	NOUN
bibechana-70637	116	77	6.5	6.5	NUM
bibechana-70637	116	78	aftershock	aftershock	NOUN
bibechana-70637	116	79	(	(	PUNCT
bibechana-70637	116	80	above	above	ADP
bibechana-70637	116	81	6.0	6.0	NUM
bibechana-70637	116	82	for	for	ADP
bibechana-70637	116	83	both	both	DET
bibechana-70637	116	84	events	event	NOUN
bibechana-70637	116	85	)	)	PUNCT
bibechana-70637	116	86	while	while	SCONJ
bibechana-70637	116	87	the	the	DET
bibechana-70637	116	88	magnitude	magnitude	NOUN
bibechana-70637	116	89	predicted	predict	VERB
bibechana-70637	116	90	for	for	ADP
bibechana-70637	116	91	other	other	ADJ
bibechana-70637	116	92	earthquakes	earthquake	NOUN
bibechana-70637	116	93	deviates	deviate	VERB
bibechana-70637	116	94	from	from	ADP
bibechana-70637	116	95	the	the	DET
bibechana-70637	116	96	actual	actual	ADJ
bibechana-70637	116	97	value	value	NOUN
bibechana-70637	116	98	(	(	PUNCT
bibechana-70637	116	99	figure	figure	NOUN
bibechana-70637	116	100	7	7	NUM
bibechana-70637	116	101	)	)	PUNCT
bibechana-70637	116	102	.	.	PUNCT
bibechana-70637	117	1	the	the	DET
bibechana-70637	117	2	magnitude	magnitude	NOUN
bibechana-70637	117	3	predicted	predict	VERB
bibechana-70637	117	4	by	by	ADP
bibechana-70637	117	5	svr	svr	PROPN
bibechana-70637	117	6	significantly	significantly	ADV
bibechana-70637	117	7	deviates	deviate	VERB
bibechana-70637	117	8	from	from	ADP
bibechana-70637	117	9	the	the	DET
bibechana-70637	117	10	actual	actual	ADJ
bibechana-70637	117	11	values	value	NOUN
bibechana-70637	117	12	,	,	PUNCT
bibechana-70637	117	13	as	as	SCONJ
bibechana-70637	117	14	it	it	PRON
bibechana-70637	117	15	predicts	predict	VERB
bibechana-70637	117	16	4.61592	4.61592	NUM
bibechana-70637	117	17	for	for	ADP
bibechana-70637	117	18	the	the	DET
bibechana-70637	117	19	gorkha	gorkha	ADJ
bibechana-70637	117	20	earthquake	earthquake	NOUN
bibechana-70637	117	21	and	and	CCONJ
bibechana-70637	117	22	4.32297	4.32297	NUM
bibechana-70637	117	23	for	for	ADP
bibechana-70637	117	24	the	the	DET
bibechana-70637	117	25	kodari	kodari	ADJ
bibechana-70637	117	26	earthquake	earthquake	NOUN
bibechana-70637	117	27	.	.	PUNCT
bibechana-70637	118	1	the	the	DET
bibechana-70637	118	2	magnitude	magnitude	NOUN
bibechana-70637	118	3	predicted	predict	VERB
bibechana-70637	118	4	by	by	ADP
bibechana-70637	118	5	mlpr	mlpr	PROPN
bibechana-70637	118	6	is	be	AUX
bibechana-70637	118	7	just	just	ADV
bibechana-70637	118	8	around	around	ADV
bibechana-70637	118	9	4	4	NUM
bibechana-70637	118	10	and	and	CCONJ
bibechana-70637	118	11	almost	almost	ADV
bibechana-70637	118	12	the	the	DET
bibechana-70637	118	13	same	same	ADJ
bibechana-70637	118	14	for	for	ADP
bibechana-70637	118	15	all	all	DET
bibechana-70637	118	16	five	five	NUM
bibechana-70637	118	17	earthquakes	earthquake	NOUN
bibechana-70637	118	18	and	and	CCONJ
bibechana-70637	118	19	greatly	greatly	ADV
bibechana-70637	118	20	deviated	deviate	VERB
bibechana-70637	118	21	from	from	ADP
bibechana-70637	118	22	the	the	DET
bibechana-70637	118	23	actual	actual	ADJ
bibechana-70637	118	24	magnitudes	magnitude	NOUN
bibechana-70637	118	25	.	.	PUNCT
bibechana-70637	119	1	figure	figure	VERB
bibechana-70637	119	2	7	7	NUM
bibechana-70637	119	3	:	:	PUNCT
bibechana-70637	119	4	3d	3d	NUM
bibechana-70637	119	5	plot	plot	NOUN
bibechana-70637	119	6	of	of	ADP
bibechana-70637	119	7	predicted	predict	VERB
bibechana-70637	119	8	magnitude	magnitude	NOUN
bibechana-70637	119	9	versus	versus	ADP
bibechana-70637	119	10	actual	actual	ADJ
bibechana-70637	119	11	magnitude	magnitude	NOUN
bibechana-70637	119	12	for	for	ADP
bibechana-70637	119	13	the	the	DET
bibechana-70637	119	14	gorkha	gorkha	ADJ
bibechana-70637	119	15	earthquake	earthquake	NOUN
bibechana-70637	119	16	,	,	PUNCT
bibechana-70637	119	17	the	the	DET
bibechana-70637	119	18	kodari	kodari	ADJ
bibechana-70637	119	19	earthquake	earthquake	NOUN
bibechana-70637	119	20	,	,	PUNCT
bibechana-70637	119	21	the	the	DET
bibechana-70637	119	22	magnitude	magnitude	NOUN
bibechana-70637	119	23	6.1	6.1	NUM
bibechana-70637	119	24	earthquake	earthquake	NOUN
bibechana-70637	119	25	,	,	PUNCT
bibechana-70637	119	26	the	the	DET
bibechana-70637	119	27	magnitude	magnitude	NOUN
bibechana-70637	119	28	6.5	6.5	NUM
bibechana-70637	119	29	earthquake	earthquake	NOUN
bibechana-70637	119	30	,	,	PUNCT
bibechana-70637	119	31	and	and	CCONJ
bibechana-70637	119	32	the	the	DET
bibechana-70637	119	33	magnitude	magnitude	NOUN
bibechana-70637	119	34	6.6	6.6	NUM
bibechana-70637	119	35	earthquake	earthquake	NOUN
bibechana-70637	119	36	using	use	VERB
bibechana-70637	119	37	rfr	rfr	PROPN
bibechana-70637	119	38	,	,	PUNCT
bibechana-70637	119	39	mlpr	mlpr	PROPN
bibechana-70637	119	40	,	,	PUNCT
bibechana-70637	119	41	svr	svr	PROPN
bibechana-70637	119	42	.	.	PROPN
bibechana-70637	119	43	3.1	3.1	NUM
bibechana-70637	119	44	performance	performance	NOUN
bibechana-70637	119	45	evaluation	evaluation	NOUN
bibechana-70637	119	46	the	the	DET
bibechana-70637	119	47	performance	performance	NOUN
bibechana-70637	119	48	of	of	ADP
bibechana-70637	119	49	rfr	rfr	PROPN
bibechana-70637	119	50	,	,	PUNCT
bibechana-70637	119	51	svr	svr	PROPN
bibechana-70637	119	52	,	,	PUNCT
bibechana-70637	119	53	and	and	CCONJ
bibechana-70637	119	54	mlpr	mlpr	PROPN
bibechana-70637	119	55	is	be	AUX
bibechana-70637	119	56	presented	present	VERB
bibechana-70637	119	57	in	in	ADP
bibechana-70637	119	58	table	table	NOUN
bibechana-70637	119	59	2	2	NUM
bibechana-70637	119	60	and	and	CCONJ
bibechana-70637	119	61	figure	figure	VERB
bibechana-70637	119	62	8	8	NUM
bibechana-70637	119	63	and	and	CCONJ
bibechana-70637	119	64	their	their	PRON
bibechana-70637	119	65	accuracies	accuracy	NOUN
bibechana-70637	119	66	are	be	AUX
bibechana-70637	119	67	presented	present	VERB
bibechana-70637	119	68	in	in	ADP
bibechana-70637	119	69	figure	figure	NOUN
bibechana-70637	119	70	9	9	NUM
bibechana-70637	119	71	.	.	PUNCT
bibechana-70637	120	1	the	the	DET
bibechana-70637	120	2	3d	3d	NOUN
bibechana-70637	120	3	error	error	NOUN
bibechana-70637	120	4	bar	bar	NOUN
bibechana-70637	120	5	in	in	ADP
bibechana-70637	120	6	figure	figure	NOUN
bibechana-70637	120	7	8	8	NUM
bibechana-70637	120	8	depicts	depict	VERB
bibechana-70637	120	9	the	the	DET
bibechana-70637	120	10	errors	error	NOUN
bibechana-70637	120	11	produced	produce	VERB
bibechana-70637	120	12	by	by	ADP
bibechana-70637	120	13	rfr	rfr	PROPN
bibechana-70637	120	14	,	,	PUNCT
bibechana-70637	120	15	mlpr	mlpr	PROPN
bibechana-70637	120	16	,	,	PUNCT
bibechana-70637	120	17	and	and	CCONJ
bibechana-70637	120	18	svr	svr	PROPN
bibechana-70637	120	19	models	model	NOUN
bibechana-70637	120	20	.	.	PUNCT
bibechana-70637	121	1	the	the	DET
bibechana-70637	121	2	mae	mae	PROPN
bibechana-70637	121	3	,	,	PUNCT
bibechana-70637	121	4	mse	mse	PROPN
bibechana-70637	121	5	,	,	PUNCT
bibechana-70637	121	6	and	and	CCONJ
bibechana-70637	121	7	rmse	rmse	ADJ
bibechana-70637	121	8	errors	error	NOUN
bibechana-70637	121	9	for	for	ADP
bibechana-70637	121	10	rfr	rfr	PROPN
bibechana-70637	121	11	(	(	PUNCT
bibechana-70637	121	12	0.36	0.36	NUM
bibechana-70637	121	13	,	,	PUNCT
bibechana-70637	121	14	0.23	0.23	NUM
bibechana-70637	121	15	,	,	PUNCT
bibechana-70637	121	16	0.48	0.48	NUM
bibechana-70637	121	17	)	)	PUNCT
bibechana-70637	121	18	and	and	CCONJ
bibechana-70637	121	19	svr	svr	PROPN
bibechana-70637	121	20	(	(	PUNCT
bibechana-70637	121	21	0.35	0.35	NUM
bibechana-70637	121	22	,	,	PUNCT
bibechana-70637	121	23	0.24	0.24	NUM
bibechana-70637	121	24	,	,	PUNCT
bibechana-70637	121	25	0.49	0.49	NUM
bibechana-70637	121	26	)	)	PUNCT
bibechana-70637	121	27	exhibit	exhibit	VERB
bibechana-70637	121	28	minimal	minimal	ADJ
bibechana-70637	121	29	disparity	disparity	NOUN
bibechana-70637	121	30	,	,	PUNCT
bibechana-70637	121	31	whereas	whereas	SCONJ
bibechana-70637	121	32	mlpr	mlpr	PROPN
bibechana-70637	121	33	's	's	PART
bibechana-70637	121	34	errors	error	NOUN
bibechana-70637	121	35	are	be	AUX
bibechana-70637	121	36	marginally	marginally	ADV
bibechana-70637	121	37	elevated	elevate	VERB
bibechana-70637	121	38	(	(	PUNCT
bibechana-70637	121	39	0.40	0.40	NUM
bibechana-70637	121	40	,	,	PUNCT
bibechana-70637	121	41	0.27	0.27	NUM
bibechana-70637	121	42	,	,	PUNCT
bibechana-70637	121	43	0.52	0.52	NUM
bibechana-70637	121	44	)	)	PUNCT
bibechana-70637	121	45	.	.	PUNCT
bibechana-70637	122	1	these	these	DET
bibechana-70637	122	2	findings	finding	NOUN
bibechana-70637	122	3	indicate	indicate	VERB
bibechana-70637	122	4	that	that	SCONJ
bibechana-70637	122	5	mlpr	mlpr	PROPN
bibechana-70637	122	6	's	's	PART
bibechana-70637	122	7	performance	performance	NOUN
bibechana-70637	122	8	is	be	AUX
bibechana-70637	122	9	comparatively	comparatively	ADV
bibechana-70637	122	10	inferior	inferior	ADJ
bibechana-70637	122	11	to	to	ADP
bibechana-70637	122	12	that	that	PRON
bibechana-70637	122	13	of	of	ADP
bibechana-70637	122	14	rfr	rfr	PROPN
bibechana-70637	122	15	and	and	CCONJ
bibechana-70637	122	16	svr	svr	PROPN
bibechana-70637	122	17	.	.	PUNCT
bibechana-70637	123	1	the	the	DET
bibechana-70637	123	2	rfr	rfr	PROPN
bibechana-70637	123	3	model	model	NOUN
bibechana-70637	123	4	demonstrates	demonstrate	VERB
bibechana-70637	123	5	superior	superior	ADJ
bibechana-70637	123	6	performance	performance	NOUN
bibechana-70637	123	7	in	in	ADP
bibechana-70637	123	8	predicting	predict	VERB
bibechana-70637	123	9	earthquake	earthquake	NOUN
bibechana-70637	123	10	magnitudes	magnitude	NOUN
bibechana-70637	123	11	compared	compare	VERB
bibechana-70637	123	12	to	to	ADP
bibechana-70637	123	13	the	the	DET
bibechana-70637	123	14	other	other	ADJ
bibechana-70637	123	15	two	two	NUM
bibechana-70637	123	16	methods	method	NOUN
bibechana-70637	123	17	.	.	PUNCT
bibechana-70637	124	1	the	the	DET
bibechana-70637	124	2	accuracy	accuracy	NOUN
bibechana-70637	124	3	plot	plot	NOUN
bibechana-70637	124	4	reveals	reveal	VERB
bibechana-70637	124	5	that	that	SCONJ
bibechana-70637	124	6	rfr	rfr	PROPN
bibechana-70637	124	7	achieves	achieve	VERB
bibechana-70637	124	8	a	a	DET
bibechana-70637	124	9	slightly	slightly	ADV
bibechana-70637	124	10	higher	high	ADJ
bibechana-70637	124	11	accuracy	accuracy	NOUN
bibechana-70637	124	12	(	(	PUNCT
bibechana-70637	124	13	0.16	0.16	NUM
bibechana-70637	124	14	)	)	PUNCT
bibechana-70637	124	15	than	than	ADP
bibechana-70637	124	16	svr	svr	PROPN
bibechana-70637	124	17	(	(	PUNCT
bibechana-70637	124	18	0.13	0.13	NUM
bibechana-70637	124	19	)	)	PUNCT
bibechana-70637	124	20	and	and	CCONJ
bibechana-70637	124	21	mlpr	mlpr	PROPN
bibechana-70637	124	22	(	(	PUNCT
bibechana-70637	124	23	0.016	0.016	NUM
bibechana-70637	124	24	)	)	PUNCT
bibechana-70637	124	25	(	(	PUNCT
bibechana-70637	124	26	figure	figure	NOUN
bibechana-70637	124	27	9	9	NUM
bibechana-70637	124	28	)	)	PUNCT
bibechana-70637	124	29	.	.	PUNCT
bibechana-70637	125	1	this	this	PRON
bibechana-70637	125	2	can	can	AUX
bibechana-70637	125	3	be	be	AUX
bibechana-70637	125	4	attributed	attribute	VERB
bibechana-70637	125	5	to	to	ADP
bibechana-70637	125	6	rfr	rfr	PROPN
bibechana-70637	125	7	's	's	PART
bibechana-70637	125	8	ensemble	ensemble	ADJ
bibechana-70637	125	9	approach	approach	NOUN
bibechana-70637	125	10	,	,	PUNCT
bibechana-70637	125	11	which	which	PRON
bibechana-70637	125	12	leverages	leverage	VERB
bibechana-70637	125	13	decision	decision	NOUN
bibechana-70637	125	14	trees	tree	NOUN
bibechana-70637	125	15	to	to	PART
bibechana-70637	125	16	capture	capture	VERB
bibechana-70637	125	17	complex	complex	ADJ
bibechana-70637	125	18	patterns	pattern	NOUN
bibechana-70637	125	19	in	in	ADP
bibechana-70637	125	20	the	the	DET
bibechana-70637	125	21	data	datum	NOUN
bibechana-70637	125	22	effectively	effectively	ADV
bibechana-70637	125	23	.	.	PUNCT
bibechana-70637	126	1	in	in	ADP
bibechana-70637	126	2	contrast	contrast	NOUN
bibechana-70637	126	3	,	,	PUNCT
bibechana-70637	126	4	svr	svr	PROPN
bibechana-70637	126	5	prioritizes	prioritize	VERB
bibechana-70637	126	6	a	a	DET
bibechana-70637	126	7	smoother	smooth	ADJ
bibechana-70637	126	8	fit	fit	NOUN
bibechana-70637	126	9	by	by	ADP
bibechana-70637	126	10	minimizing	minimize	VERB
bibechana-70637	126	11	margin	margin	NOUN
bibechana-70637	126	12	violations	violation	NOUN
bibechana-70637	126	13	,	,	PUNCT
bibechana-70637	126	14	which	which	PRON
bibechana-70637	126	15	may	may	AUX
bibechana-70637	126	16	limit	limit	VERB
bibechana-70637	126	17	its	its	PRON
bibechana-70637	126	18	ability	ability	NOUN
bibechana-70637	126	19	to	to	PART
bibechana-70637	126	20	capture	capture	VERB
bibechana-70637	126	21	intricate	intricate	ADJ
bibechana-70637	126	22	details	detail	NOUN
bibechana-70637	126	23	.	.	PUNCT
bibechana-70637	127	1	the	the	DET
bibechana-70637	127	2	notably	notably	ADV
bibechana-70637	127	3	low	low	ADJ
bibechana-70637	127	4	accuracy	accuracy	NOUN
bibechana-70637	127	5	of	of	ADP
bibechana-70637	127	6	the	the	DET
bibechana-70637	127	7	mlpr	mlpr	PROPN
bibechana-70637	127	8	model	model	NOUN
bibechana-70637	127	9	suggests	suggest	VERB
bibechana-70637	127	10	that	that	SCONJ
bibechana-70637	127	11	it	it	PRON
bibechana-70637	127	12	fails	fail	VERB
bibechana-70637	127	13	to	to	PART
bibechana-70637	127	14	learn	learn	VERB
bibechana-70637	127	15	meaningful	meaningful	ADJ
bibechana-70637	127	16	patterns	pattern	NOUN
bibechana-70637	127	17	from	from	ADP
bibechana-70637	127	18	the	the	DET
bibechana-70637	127	19	data	datum	NOUN
bibechana-70637	127	20	,	,	PUNCT
bibechana-70637	127	21	leading	lead	VERB
bibechana-70637	127	22	to	to	ADP
bibechana-70637	127	23	predictions	prediction	NOUN
bibechana-70637	127	24	that	that	PRON
bibechana-70637	127	25	are	be	AUX
bibechana-70637	127	26	essentially	essentially	ADV
bibechana-70637	127	27	random	random	ADJ
bibechana-70637	127	28	.	.	PUNCT
bibechana-70637	128	1	figure	figure	NOUN
bibechana-70637	128	2	8	8	NUM
bibechana-70637	128	3	:	:	SYM
bibechana-70637	128	4	3d	3d	NUM
bibechana-70637	128	5	error	error	NOUN
bibechana-70637	128	6	bar	bar	NOUN
bibechana-70637	128	7	of	of	ADP
bibechana-70637	128	8	three	three	NUM
bibechana-70637	128	9	different	different	ADJ
bibechana-70637	128	10	methods	method	NOUN
bibechana-70637	128	11	employed	employ	VERB
bibechana-70637	128	12	for	for	ADP
bibechana-70637	128	13	the	the	DET
bibechana-70637	128	14	estimation	estimation	NOUN
bibechana-70637	128	15	of	of	ADP
bibechana-70637	128	16	the	the	DET
bibechana-70637	128	17	magnitudes	magnitude	NOUN
bibechana-70637	128	18	.	.	PUNCT
bibechana-70637	129	1	figure	figure	NOUN
bibechana-70637	129	2	9	9	NUM
bibechana-70637	129	3	:	:	PUNCT
bibechana-70637	129	4	accuracy	accuracy	NOUN
bibechana-70637	129	5	bar	bar	NOUN
bibechana-70637	129	6	of	of	ADP
bibechana-70637	129	7	three	three	NUM
bibechana-70637	129	8	different	different	ADJ
bibechana-70637	129	9	methods	method	NOUN
bibechana-70637	129	10	used	use	VERB
bibechana-70637	129	11	for	for	ADP
bibechana-70637	129	12	the	the	DET
bibechana-70637	129	13	estimation	estimation	NOUN
bibechana-70637	129	14	of	of	ADP
bibechana-70637	129	15	magnitudes	magnitude	NOUN
bibechana-70637	129	16	.	.	PUNCT
bibechana-70637	130	1	4	4	NUM
bibechana-70637	130	2	conclusion	conclusion	NOUN
bibechana-70637	130	3	three	three	NUM
bibechana-70637	130	4	machines	machine	NOUN
bibechana-70637	130	5	learning	learn	VERB
bibechana-70637	130	6	algorithms	algorithm	NOUN
bibechana-70637	130	7	namely	namely	ADV
bibechana-70637	130	8	,	,	PUNCT
bibechana-70637	130	9	random	random	ADJ
bibechana-70637	130	10	forest	forest	NOUN
bibechana-70637	130	11	regressor	regressor	NOUN
bibechana-70637	130	12	(	(	PUNCT
bibechana-70637	130	13	rfr	rfr	PROPN
bibechana-70637	130	14	)	)	PUNCT
bibechana-70637	130	15	,	,	PUNCT
bibechana-70637	130	16	multi	multi	ADJ
bibechana-70637	130	17	-	-	ADJ
bibechana-70637	130	18	layer	layer	ADJ
bibechana-70637	130	19	perceptron	perceptron	NOUN
bibechana-70637	130	20	(	(	PUNCT
bibechana-70637	130	21	mlpr	mlpr	PROPN
bibechana-70637	130	22	)	)	PUNCT
bibechana-70637	130	23	,	,	PUNCT
bibechana-70637	130	24	and	and	CCONJ
bibechana-70637	130	25	support	support	VERB
bibechana-70637	130	26	vector	vector	NOUN
bibechana-70637	130	27	regressor	regressor	NOUN
bibechana-70637	130	28	(	(	PUNCT
bibechana-70637	130	29	svr	svr	PROPN
bibechana-70637	130	30	)	)	PUNCT
bibechana-70637	130	31	have	have	AUX
bibechana-70637	130	32	been	be	AUX
bibechana-70637	130	33	used	use	VERB
bibechana-70637	130	34	to	to	PART
bibechana-70637	130	35	predict	predict	VERB
bibechana-70637	130	36	the	the	DET
bibechana-70637	130	37	major	major	ADJ
bibechana-70637	130	38	earthquake	earthquake	NOUN
bibechana-70637	130	39	events	event	NOUN
bibechana-70637	130	40	that	that	PRON
bibechana-70637	130	41	occurred	occur	VERB
bibechana-70637	130	42	in	in	ADP
bibechana-70637	130	43	the	the	DET
bibechana-70637	130	44	year	year	NOUN
bibechana-70637	130	45	2015	2015	NUM
bibechana-70637	130	46	.	.	PUNCT
bibechana-70637	131	1	the	the	DET
bibechana-70637	131	2	study	study	NOUN
bibechana-70637	131	3	has	have	AUX
bibechana-70637	131	4	been	be	AUX
bibechana-70637	131	5	applied	apply	VERB
bibechana-70637	131	6	to	to	ADP
bibechana-70637	131	7	2595	2595	NUM
bibechana-70637	131	8	earthquakes	earthquake	NOUN
bibechana-70637	131	9	of	of	ADP
bibechana-70637	131	10	magnitude	magnitude	NOUN
bibechana-70637	131	11	range	range	NOUN
bibechana-70637	131	12	2.9	2.9	NUM
bibechana-70637	131	13	to	to	ADP
bibechana-70637	131	14	6.9	6.9	NUM
bibechana-70637	131	15	,	,	PUNCT
bibechana-70637	131	16	collected	collect	VERB
bibechana-70637	131	17	from	from	ADP
bibechana-70637	131	18	isc	isc	PROPN
bibechana-70637	131	19	catalog	catalog	NOUN
bibechana-70637	131	20	,	,	PUNCT
bibechana-70637	131	21	for	for	ADP
bibechana-70637	131	22	68	68	NUM
bibechana-70637	131	23	years	year	NOUN
bibechana-70637	131	24	.	.	PUNCT
bibechana-70637	132	1	the	the	DET
bibechana-70637	132	2	results	result	NOUN
bibechana-70637	132	3	suggest	suggest	VERB
bibechana-70637	132	4	that	that	SCONJ
bibechana-70637	132	5	all	all	DET
bibechana-70637	132	6	algorithms	algorithm	NOUN
bibechana-70637	132	7	,	,	PUNCT
bibechana-70637	132	8	while	while	SCONJ
bibechana-70637	132	9	providing	provide	VERB
bibechana-70637	132	10	reasonable	reasonable	ADJ
bibechana-70637	132	11	estimates	estimate	NOUN
bibechana-70637	132	12	,	,	PUNCT
bibechana-70637	132	13	tend	tend	VERB
bibechana-70637	132	14	to	to	PART
bibechana-70637	132	15	under	under	AUX
bibechana-70637	132	16	predict	predict	VERB
bibechana-70637	132	17	earthquake	earthquake	NOUN
bibechana-70637	132	18	magnitudes	magnitude	NOUN
bibechana-70637	132	19	,	,	PUNCT
bibechana-70637	132	20	particularly	particularly	ADV
bibechana-70637	132	21	for	for	ADP
bibechana-70637	132	22	higher	high	ADJ
bibechana-70637	132	23	-	-	PUNCT
bibechana-70637	132	24	magnitude	magnitude	NOUN
bibechana-70637	132	25	events	event	NOUN
bibechana-70637	132	26	.	.	PUNCT
bibechana-70637	133	1	for	for	ADP
bibechana-70637	133	2	example	example	NOUN
bibechana-70637	133	3	,	,	PUNCT
bibechana-70637	133	4	the	the	DET
bibechana-70637	133	5	rfr	rfr	PROPN
bibechana-70637	133	6	model	model	NOUN
bibechana-70637	133	7	predicts	predict	VERB
bibechana-70637	133	8	6.24	6.24	NUM
bibechana-70637	133	9	for	for	ADP
bibechana-70637	133	10	gorkha	gorkha	ADJ
bibechana-70637	133	11	earthquake	earthquake	NOUN
bibechana-70637	133	12	(	(	PUNCT
bibechana-70637	133	13	actual	actual	ADJ
bibechana-70637	133	14	6.9	6.9	NUM
bibechana-70637	133	15	)	)	PUNCT
bibechana-70637	133	16	and	and	CCONJ
bibechana-70637	133	17	5.85	5.85	NUM
bibechana-70637	133	18	for	for	ADP
bibechana-70637	133	19	kodari	kodari	ADJ
bibechana-70637	133	20	earthquake	earthquake	NOUN
bibechana-70637	133	21	(	(	PUNCT
bibechana-70637	133	22	actual	actual	ADJ
bibechana-70637	133	23	6.7	6.7	NUM
bibechana-70637	133	24	)	)	PUNCT
bibechana-70637	133	25	,	,	PUNCT
bibechana-70637	133	26	indicating	indicate	VERB
bibechana-70637	133	27	that	that	SCONJ
bibechana-70637	133	28	it	it	PRON
bibechana-70637	133	29	tends	tend	VERB
bibechana-70637	133	30	to	to	PART
bibechana-70637	133	31	slightly	slightly	ADV
bibechana-70637	133	32	underestimate	underestimate	ADJ
bibechana-70637	133	33	magnitudes	magnitude	NOUN
bibechana-70637	133	34	.	.	PUNCT
bibechana-70637	134	1	similarly	similarly	ADV
bibechana-70637	134	2	,	,	PUNCT
bibechana-70637	134	3	the	the	DET
bibechana-70637	134	4	mlpr	mlpr	PROPN
bibechana-70637	134	5	model	model	NOUN
bibechana-70637	134	6	under	under	ADP
bibechana-70637	134	7	predicts	predict	NOUN
bibechana-70637	134	8	with	with	ADP
bibechana-70637	134	9	values	value	NOUN
bibechana-70637	134	10	like	like	ADP
bibechana-70637	134	11	4.10	4.10	NUM
bibechana-70637	134	12	for	for	ADP
bibechana-70637	134	13	gorkha	gorkha	ADJ
bibechana-70637	134	14	earthquake	earthquake	NOUN
bibechana-70637	134	15	,	,	PUNCT
bibechana-70637	134	16	while	while	SCONJ
bibechana-70637	134	17	the	the	DET
bibechana-70637	134	18	svr	svr	PROPN
bibechana-70637	134	19	model	model	NOUN
bibechana-70637	134	20	also	also	ADV
bibechana-70637	134	21	provides	provide	VERB
bibechana-70637	134	22	lower	low	ADJ
bibechana-70637	134	23	predictions	prediction	NOUN
bibechana-70637	134	24	,	,	PUNCT
bibechana-70637	134	25	such	such	ADJ
bibechana-70637	134	26	as	as	ADP
bibechana-70637	134	27	4.62	4.62	NUM
bibechana-70637	134	28	for	for	ADP
bibechana-70637	134	29	gorkha	gorkha	ADJ
bibechana-70637	134	30	earthquake	earthquake	NOUN
bibechana-70637	134	31	.	.	PUNCT
bibechana-70637	135	1	among	among	ADP
bibechana-70637	135	2	three	three	NUM
bibechana-70637	135	3	algorithms	algorithm	NOUN
bibechana-70637	135	4	rfr	rfr	PROPN
bibechana-70637	135	5	is	be	AUX
bibechana-70637	135	6	found	find	VERB
bibechana-70637	135	7	to	to	PART
bibechana-70637	135	8	be	be	AUX
bibechana-70637	135	9	the	the	DET
bibechana-70637	135	10	superior	superior	ADJ
bibechana-70637	135	11	as	as	SCONJ
bibechana-70637	135	12	it	it	PRON
bibechana-70637	135	13	estimates	estimate	VERB
bibechana-70637	135	14	the	the	DET
bibechana-70637	135	15	magnitude	magnitude	NOUN
bibechana-70637	135	16	close	close	ADJ
bibechana-70637	135	17	to	to	ADP
bibechana-70637	135	18	actual	actual	ADJ
bibechana-70637	135	19	magnitude	magnitude	NOUN
bibechana-70637	135	20	.	.	PUNCT
bibechana-70637	136	1	this	this	DET
bibechana-70637	136	2	highlights	highlight	VERB
bibechana-70637	136	3	the	the	DET
bibechana-70637	136	4	need	need	NOUN
bibechana-70637	136	5	for	for	SCONJ
bibechana-70637	136	6	further	further	ADJ
bibechana-70637	136	7	model	model	NOUN
bibechana-70637	136	8	refinement	refinement	NOUN
bibechana-70637	136	9	through	through	ADP
bibechana-70637	136	10	hyper	hyper	ADJ
bibechana-70637	136	11	parameter	parameter	NOUN
bibechana-70637	136	12	tuning	tuning	NOUN
bibechana-70637	136	13	,	,	PUNCT
bibechana-70637	136	14	feature	feature	NOUN
bibechana-70637	136	15	engineering	engineering	NOUN
bibechana-70637	136	16	,	,	PUNCT
bibechana-70637	136	17	or	or	CCONJ
bibechana-70637	136	18	incorporating	incorporate	VERB
bibechana-70637	136	19	more	more	ADV
bibechana-70637	136	20	detailed	detailed	ADJ
bibechana-70637	136	21	seismic	seismic	ADJ
bibechana-70637	136	22	data	datum	NOUN
bibechana-70637	136	23	to	to	PART
bibechana-70637	136	24	enhance	enhance	VERB
bibechana-70637	136	25	prediction	prediction	NOUN
bibechana-70637	136	26	accuracy	accuracy	NOUN
bibechana-70637	136	27	,	,	PUNCT
bibechana-70637	136	28	especially	especially	ADV
bibechana-70637	136	29	for	for	ADP
bibechana-70637	136	30	larger	large	ADJ
bibechana-70637	136	31	earthquakes	earthquake	NOUN
bibechana-70637	136	32	.	.	PUNCT
bibechana-70637	137	1	analyzing	analyze	VERB
bibechana-70637	137	2	the	the	DET
bibechana-70637	137	3	residuals	residual	NOUN
bibechana-70637	137	4	between	between	ADP
bibechana-70637	137	5	predicted	predict	VERB
bibechana-70637	137	6	and	and	CCONJ
bibechana-70637	137	7	actual	actual	ADJ
bibechana-70637	137	8	values	value	NOUN
bibechana-70637	137	9	could	could	AUX
bibechana-70637	137	10	help	help	VERB
bibechana-70637	137	11	idenram	idenram	VERB
bibechana-70637	137	12	krishna	krishna	PROPN
bibechana-70637	137	13	tiwari	tiwari	PROPN
bibechana-70637	137	14	et	et	PROPN
bibechana-70637	137	15	al./	al./	ADV
bibechana-70637	137	16	bibechana	bibechana	PROPN
bibechana-70637	137	17	22	22	NUM
bibechana-70637	137	18	(	(	PUNCT
bibechana-70637	137	19	2025	2025	NUM
bibechana-70637	137	20	)	)	PUNCT
bibechana-70637	137	21	22	22	NUM
bibechana-70637	137	22	-	-	SYM
bibechana-70637	137	23	29	29	NUM
bibechana-70637	137	24	28	28	NUM
bibechana-70637	137	25	tify	tify	NOUN
bibechana-70637	137	26	areas	area	NOUN
bibechana-70637	137	27	where	where	SCONJ
bibechana-70637	137	28	the	the	DET
bibechana-70637	137	29	models	model	NOUN
bibechana-70637	137	30	are	be	AUX
bibechana-70637	137	31	underperforming	underperform	VERB
bibechana-70637	137	32	and	and	CCONJ
bibechana-70637	137	33	guide	guide	VERB
bibechana-70637	137	34	improvements	improvement	NOUN
bibechana-70637	137	35	.	.	PUNCT
bibechana-70637	138	1	from	from	ADP
bibechana-70637	138	2	the	the	DET
bibechana-70637	138	3	error	error	NOUN
bibechana-70637	138	4	perspective	perspective	NOUN
bibechana-70637	138	5	both	both	CCONJ
bibechana-70637	138	6	rfr	rfr	PROPN
bibechana-70637	138	7	and	and	CCONJ
bibechana-70637	138	8	svr	svr	PROPN
bibechana-70637	138	9	do	do	AUX
bibechana-70637	138	10	not	not	PART
bibechana-70637	138	11	show	show	VERB
bibechana-70637	138	12	significant	significant	ADJ
bibechana-70637	138	13	differences	difference	NOUN
bibechana-70637	138	14	but	but	CCONJ
bibechana-70637	138	15	as	as	SCONJ
bibechana-70637	138	16	the	the	DET
bibechana-70637	138	17	prediction	prediction	NOUN
bibechana-70637	138	18	pattern	pattern	NOUN
bibechana-70637	138	19	is	be	AUX
bibechana-70637	138	20	observed	observe	VERB
bibechana-70637	138	21	rfr	rfr	PROPN
bibechana-70637	138	22	shows	show	VERB
bibechana-70637	138	23	the	the	DET
bibechana-70637	138	24	better	well	ADJ
bibechana-70637	138	25	promises	promise	NOUN
bibechana-70637	138	26	.	.	PUNCT
bibechana-70637	139	1	despite	despite	SCONJ
bibechana-70637	139	2	challenges	challenge	NOUN
bibechana-70637	139	3	such	such	ADJ
bibechana-70637	139	4	as	as	ADP
bibechana-70637	139	5	imbalanced	imbalanced	ADJ
bibechana-70637	139	6	datasets	dataset	NOUN
bibechana-70637	139	7	,	,	PUNCT
bibechana-70637	139	8	uncertainties	uncertainty	NOUN
bibechana-70637	139	9	in	in	ADP
bibechana-70637	139	10	seismic	seismic	ADJ
bibechana-70637	139	11	features	feature	NOUN
bibechana-70637	139	12	,	,	PUNCT
bibechana-70637	139	13	and	and	CCONJ
bibechana-70637	139	14	the	the	DET
bibechana-70637	139	15	complexity	complexity	NOUN
bibechana-70637	139	16	of	of	ADP
bibechana-70637	139	17	modeling	model	VERB
bibechana-70637	139	18	dynamic	dynamic	ADJ
bibechana-70637	139	19	,	,	PUNCT
bibechana-70637	139	20	non	non	ADJ
bibechana-70637	139	21	-	-	ADJ
bibechana-70637	139	22	linear	linear	ADJ
bibechana-70637	139	23	relationships	relationship	NOUN
bibechana-70637	139	24	in	in	ADP
bibechana-70637	139	25	earthquake	earthquake	NOUN
bibechana-70637	139	26	patterns	pattern	NOUN
bibechana-70637	139	27	,	,	PUNCT
bibechana-70637	139	28	the	the	DET
bibechana-70637	139	29	results	result	NOUN
bibechana-70637	139	30	of	of	ADP
bibechana-70637	139	31	this	this	DET
bibechana-70637	139	32	study	study	NOUN
bibechana-70637	139	33	indicate	indicate	VERB
bibechana-70637	139	34	that	that	SCONJ
bibechana-70637	139	35	both	both	CCONJ
bibechana-70637	139	36	the	the	DET
bibechana-70637	139	37	random	random	ADJ
bibechana-70637	139	38	forest	forest	NOUN
bibechana-70637	139	39	regressor	regressor	NOUN
bibechana-70637	139	40	(	(	PUNCT
bibechana-70637	139	41	rfr	rfr	PROPN
bibechana-70637	139	42	)	)	PUNCT
bibechana-70637	139	43	and	and	CCONJ
bibechana-70637	139	44	support	support	VERB
bibechana-70637	139	45	vector	vector	NOUN
bibechana-70637	139	46	regressor	regressor	NOUN
bibechana-70637	139	47	(	(	PUNCT
bibechana-70637	139	48	svr	svr	PROPN
bibechana-70637	139	49	)	)	PUNCT
bibechana-70637	139	50	hold	hold	VERB
bibechana-70637	139	51	promise	promise	NOUN
bibechana-70637	139	52	for	for	ADP
bibechana-70637	139	53	prediction	prediction	NOUN
bibechana-70637	139	54	,	,	PUNCT
bibechana-70637	139	55	particularly	particularly	ADV
bibechana-70637	139	56	when	when	SCONJ
bibechana-70637	139	57	large	large	ADJ
bibechana-70637	139	58	datasets	dataset	NOUN
bibechana-70637	139	59	are	be	AUX
bibechana-70637	139	60	available	available	ADJ
bibechana-70637	139	61	.	.	PUNCT
bibechana-70637	140	1	acknowledgments	acknowledgment	NOUN
bibechana-70637	140	2	one	one	NUM
bibechana-70637	140	3	of	of	ADP
bibechana-70637	140	4	the	the	DET
bibechana-70637	140	5	authors	author	NOUN
bibechana-70637	140	6	(	(	PUNCT
bibechana-70637	140	7	rkt	rkt	NOUN
bibechana-70637	140	8	)	)	PUNCT
bibechana-70637	140	9	would	would	AUX
bibechana-70637	140	10	like	like	VERB
bibechana-70637	140	11	to	to	PART
bibechana-70637	140	12	acknowledge	acknowledge	VERB
bibechana-70637	140	13	the	the	DET
bibechana-70637	140	14	research	research	NOUN
bibechana-70637	140	15	management	management	NOUN
bibechana-70637	140	16	cell	cell	NOUN
bibechana-70637	140	17	(	(	PUNCT
bibechana-70637	140	18	rmc	rmc	PROPN
bibechana-70637	140	19	)	)	PUNCT
bibechana-70637	140	20	,	,	PUNCT
bibechana-70637	140	21	birendra	birendra	PROPN
bibechana-70637	140	22	multiple	multiple	ADJ
bibechana-70637	140	23	campus	campus	PROPN
bibechana-70637	140	24	,	,	PUNCT
bibechana-70637	140	25	tribhuvan	tribhuvan	PROPN
bibechana-70637	140	26	university	university	PROPN
bibechana-70637	140	27	,	,	PUNCT
bibechana-70637	140	28	nepal	nepal	NOUN
bibechana-70637	140	29	for	for	ADP
bibechana-70637	140	30	providing	provide	VERB
bibechana-70637	140	31	financial	financial	ADJ
bibechana-70637	140	32	support	support	NOUN
bibechana-70637	140	33	.	.	PUNCT
bibechana-70637	141	1	references	reference	NOUN
bibechana-70637	141	2	[	[	X
bibechana-70637	141	3	1	1	NUM
bibechana-70637	141	4	]	]	PUNCT
bibechana-70637	141	5	r.	r.	PROPN
bibechana-70637	141	6	v.	v.	PROPN
bibechana-70637	141	7	almeida	almeida	PROPN
bibechana-70637	141	8	,	,	PUNCT
bibechana-70637	141	9	j.	j.	PROPN
bibechana-70637	141	10	hubbard	hubbard	PROPN
bibechana-70637	141	11	,	,	PUNCT
bibechana-70637	141	12	l.	l.	PROPN
bibechana-70637	141	13	liberty	liberty	PROPN
bibechana-70637	141	14	,	,	PUNCT
bibechana-70637	141	15	a.	a.	NOUN
bibechana-70637	141	16	foster	foster	PROPN
bibechana-70637	141	17	,	,	PUNCT
bibechana-70637	141	18	and	and	CCONJ
bibechana-70637	141	19	s.	s.	PROPN
bibechana-70637	141	20	n.	n.	PROPN
bibechana-70637	141	21	sapkota	sapkota	PROPN
bibechana-70637	141	22	.	.	PUNCT
bibechana-70637	142	1	seismic	seismic	ADJ
bibechana-70637	142	2	imaging	imaging	NOUN
bibechana-70637	142	3	of	of	ADP
bibechana-70637	142	4	the	the	DET
bibechana-70637	142	5	main	main	ADJ
bibechana-70637	142	6	frontal	frontal	ADJ
bibechana-70637	142	7	thrust	thrust	NOUN
bibechana-70637	142	8	in	in	ADP
bibechana-70637	142	9	nepal	nepal	ADJ
bibechana-70637	142	10	reveals	reveal	VERB
bibechana-70637	142	11	a	a	DET
bibechana-70637	142	12	shallow	shallow	ADJ
bibechana-70637	142	13	décollement	décollement	ADJ
bibechana-70637	142	14	and	and	CCONJ
bibechana-70637	142	15	blind	blind	ADJ
bibechana-70637	142	16	thrusting	thrusting	NOUN
bibechana-70637	142	17	.	.	PUNCT
bibechana-70637	143	1	earth	earth	NOUN
bibechana-70637	143	2	and	and	CCONJ
bibechana-70637	143	3	planetary	planetary	ADJ
bibechana-70637	143	4	science	science	NOUN
bibechana-70637	143	5	letters	letter	NOUN
bibechana-70637	143	6	,	,	PUNCT
bibechana-70637	143	7	494:216–225	494:216–225	NUM
bibechana-70637	143	8	,	,	PUNCT
bibechana-70637	143	9	2018	2018	NUM
bibechana-70637	143	10	.	.	PUNCT
bibechana-70637	144	1	[	[	X
bibechana-70637	144	2	2	2	NUM
bibechana-70637	144	3	]	]	PUNCT
bibechana-70637	144	4	m.	m.	NOUN
bibechana-70637	144	5	hubbard	hubbard	PROPN
bibechana-70637	144	6	,	,	PUNCT
bibechana-70637	144	7	m.	m.	NOUN
bibechana-70637	144	8	mukul	mukul	PROPN
bibechana-70637	144	9	,	,	PUNCT
bibechana-70637	144	10	a.	a.	NOUN
bibechana-70637	144	11	p.	p.	NOUN
bibechana-70637	144	12	gajurel	gajurel	NOUN
bibechana-70637	144	13	,	,	PUNCT
bibechana-70637	144	14	a.	a.	PROPN
bibechana-70637	144	15	ghosh	ghosh	PROPN
bibechana-70637	144	16	,	,	PUNCT
bibechana-70637	144	17	v.	v.	PROPN
bibechana-70637	144	18	srivastava	srivastava	PROPN
bibechana-70637	144	19	,	,	PUNCT
bibechana-70637	144	20	b.	b.	PROPN
bibechana-70637	144	21	giri	giri	PROPN
bibechana-70637	144	22	,	,	PUNCT
bibechana-70637	144	23	n.	n.	PROPN
bibechana-70637	144	24	seifert	seifert	PROPN
bibechana-70637	144	25	,	,	PUNCT
bibechana-70637	144	26	and	and	CCONJ
bibechana-70637	144	27	m.	m.	NOUN
bibechana-70637	144	28	m.	m.	PROPN
bibechana-70637	144	29	mendoza	mendoza	PROPN
bibechana-70637	144	30	.	.	PUNCT
bibechana-70637	144	31	orogenic	orogenic	PROPN
bibechana-70637	144	32	segmentation	segmentation	NOUN
bibechana-70637	144	33	and	and	CCONJ
bibechana-70637	144	34	its	its	PRON
bibechana-70637	144	35	role	role	NOUN
bibechana-70637	144	36	in	in	ADP
bibechana-70637	144	37	himalayan	himalayan	ADJ
bibechana-70637	144	38	mountain	mountain	NOUN
bibechana-70637	144	39	building	building	NOUN
bibechana-70637	144	40	.	.	PUNCT
bibechana-70637	145	1	frontiers	frontier	NOUN
bibechana-70637	145	2	in	in	ADP
bibechana-70637	145	3	earth	earth	NOUN
bibechana-70637	145	4	science	science	NOUN
bibechana-70637	145	5	,	,	PUNCT
bibechana-70637	145	6	9	9	NUM
bibechana-70637	145	7	,	,	PUNCT
bibechana-70637	145	8	2021	2021	NUM
bibechana-70637	145	9	.	.	PUNCT
bibechana-70637	146	1	[	[	X
bibechana-70637	146	2	3	3	X
bibechana-70637	146	3	]	]	PUNCT
bibechana-70637	146	4	k.	k.	PROPN
bibechana-70637	146	5	m.	m.	PROPN
bibechana-70637	146	6	khattri	khattri	PROPN
bibechana-70637	146	7	and	and	CCONJ
bibechana-70637	146	8	a.	a.	PROPN
bibechana-70637	146	9	k.	k.	PROPN
bibechana-70637	146	10	tyagi	tyagi	PROPN
bibechana-70637	146	11	.	.	PUNCT
bibechana-70637	147	1	seismicity	seismicity	NOUN
bibechana-70637	147	2	patterns	pattern	NOUN
bibechana-70637	147	3	in	in	ADP
bibechana-70637	147	4	the	the	DET
bibechana-70637	147	5	himalayan	himalayan	ADJ
bibechana-70637	147	6	plate	plate	NOUN
bibechana-70637	147	7	boundary	boundary	NOUN
bibechana-70637	147	8	and	and	CCONJ
bibechana-70637	147	9	identification	identification	NOUN
bibechana-70637	147	10	of	of	ADP
bibechana-70637	147	11	the	the	DET
bibechana-70637	147	12	areas	area	NOUN
bibechana-70637	147	13	of	of	ADP
bibechana-70637	147	14	high	high	ADJ
bibechana-70637	147	15	seismic	seismic	ADJ
bibechana-70637	147	16	potential	potential	NOUN
bibechana-70637	147	17	.	.	PUNCT
bibechana-70637	148	1	tectonophysics	tectonophysic	NOUN
bibechana-70637	148	2	,	,	PUNCT
bibechana-70637	148	3	96(3–4):281	96(3–4):281	NUM
bibechana-70637	148	4	–	–	PUNCT
bibechana-70637	148	5	297	297	NUM
bibechana-70637	148	6	,	,	PUNCT
bibechana-70637	148	7	1983	1983	NUM
bibechana-70637	148	8	.	.	PUNCT
bibechana-70637	149	1	[	[	X
bibechana-70637	149	2	4	4	X
bibechana-70637	149	3	]	]	PUNCT
bibechana-70637	149	4	m.	m.	NOUN
bibechana-70637	149	5	nayak	nayak	PROPN
bibechana-70637	149	6	and	and	CCONJ
bibechana-70637	149	7	t.	t.	PROPN
bibechana-70637	149	8	g.	g.	PROPN
bibechana-70637	149	9	sitharam	sitharam	PROPN
bibechana-70637	149	10	.	.	PUNCT
bibechana-70637	150	1	estimation	estimation	NOUN
bibechana-70637	150	2	and	and	CCONJ
bibechana-70637	150	3	spatial	spatial	ADJ
bibechana-70637	150	4	mapping	mapping	NOUN
bibechana-70637	150	5	of	of	ADP
bibechana-70637	150	6	seismicity	seismicity	NOUN
bibechana-70637	150	7	parameters	parameter	NOUN
bibechana-70637	150	8	in	in	ADP
bibechana-70637	150	9	western	western	ADJ
bibechana-70637	150	10	himalaya	himalaya	PROPN
bibechana-70637	150	11	,	,	PUNCT
bibechana-70637	150	12	central	central	ADJ
bibechana-70637	150	13	himalaya	himalaya	PROPN
bibechana-70637	150	14	and	and	CCONJ
bibechana-70637	150	15	indogangetic	indogangetic	ADJ
bibechana-70637	150	16	plain	plain	ADJ
bibechana-70637	150	17	.	.	PUNCT
bibechana-70637	151	1	journal	journal	PROPN
bibechana-70637	151	2	of	of	ADP
bibechana-70637	151	3	earth	earth	NOUN
bibechana-70637	151	4	system	system	NOUN
bibechana-70637	151	5	science	science	NOUN
bibechana-70637	151	6	,	,	PUNCT
bibechana-70637	151	7	128(3	128(3	NUM
bibechana-70637	151	8	)	)	PUNCT
bibechana-70637	151	9	,	,	PUNCT
bibechana-70637	151	10	2019	2019	NUM
bibechana-70637	151	11	.	.	PUNCT
bibechana-70637	152	1	[	[	X
bibechana-70637	152	2	5	5	NUM
bibechana-70637	152	3	]	]	PUNCT
bibechana-70637	152	4	r.	r.	PROPN
bibechana-70637	152	5	k.	k.	PROPN
bibechana-70637	152	6	tiwari	tiwari	PROPN
bibechana-70637	152	7	.	.	PUNCT
bibechana-70637	153	1	multifractal	multifractal	ADJ
bibechana-70637	153	2	approach	approach	NOUN
bibechana-70637	153	3	to	to	ADP
bibechana-70637	153	4	the	the	DET
bibechana-70637	153	5	study	study	NOUN
bibechana-70637	153	6	of	of	ADP
bibechana-70637	153	7	gorkha	gorkha	ADJ
bibechana-70637	153	8	earthquake	earthquake	NOUN
bibechana-70637	153	9	of	of	ADP
bibechana-70637	153	10	25	25	NUM
bibechana-70637	153	11	april	april	PROPN
bibechana-70637	153	12	,	,	PUNCT
bibechana-70637	153	13	2015	2015	NUM
bibechana-70637	153	14	nepal	nepal	NOUN
bibechana-70637	153	15	.	.	PUNCT
bibechana-70637	154	1	phd	phd	NOUN
bibechana-70637	154	2	thesis	thesis	PROPN
bibechana-70637	154	3	,	,	PUNCT
bibechana-70637	154	4	institute	institute	NOUN
bibechana-70637	154	5	of	of	ADP
bibechana-70637	154	6	science	science	PROPN
bibechana-70637	154	7	technology	technology	PROPN
bibechana-70637	154	8	,	,	PUNCT
bibechana-70637	154	9	tribhuvan	tribhuvan	PROPN
bibechana-70637	154	10	university	university	NOUN
bibechana-70637	154	11	,	,	PUNCT
bibechana-70637	154	12	2023	2023	NUM
bibechana-70637	154	13	.	.	PUNCT
bibechana-70637	155	1	[	[	X
bibechana-70637	155	2	6	6	NUM
bibechana-70637	155	3	]	]	PUNCT
bibechana-70637	155	4	a.	a.	NOUN
bibechana-70637	155	5	k.	k.	PROPN
bibechana-70637	155	6	dubey	dubey	PROPN
bibechana-70637	155	7	.	.	PUNCT
bibechana-70637	156	1	understanding	understand	VERB
bibechana-70637	156	2	an	an	DET
bibechana-70637	156	3	orogenic	orogenic	ADJ
bibechana-70637	156	4	belt	belt	NOUN
bibechana-70637	156	5	.	.	PUNCT
bibechana-70637	157	1	springer	springer	NOUN
bibechana-70637	157	2	,	,	PUNCT
bibechana-70637	157	3	2014	2014	NUM
bibechana-70637	157	4	.	.	PUNCT
bibechana-70637	158	1	[	[	X
bibechana-70637	158	2	7	7	X
bibechana-70637	158	3	]	]	PUNCT
bibechana-70637	158	4	j.	j.	PROPN
bibechana-70637	158	5	f.	f.	PROPN
bibechana-70637	158	6	ni	ni	PROPN
bibechana-70637	158	7	.	.	PROPN
bibechana-70637	158	8	active	active	ADJ
bibechana-70637	158	9	tectonics	tectonic	NOUN
bibechana-70637	158	10	of	of	ADP
bibechana-70637	158	11	the	the	DET
bibechana-70637	158	12	himalaya	himalaya	PROPN
bibechana-70637	158	13	.	.	PUNCT
bibechana-70637	159	1	proceedings	proceeding	NOUN
bibechana-70637	159	2	of	of	ADP
bibechana-70637	159	3	the	the	DET
bibechana-70637	159	4	indian	indian	PROPN
bibechana-70637	159	5	academy	academy	PROPN
bibechana-70637	159	6	of	of	ADP
bibechana-70637	159	7	sciences	sciences	PROPN
bibechana-70637	159	8	earth	earth	NOUN
bibechana-70637	159	9	and	and	CCONJ
bibechana-70637	159	10	planetary	planetary	ADJ
bibechana-70637	159	11	sciences	science	NOUN
bibechana-70637	159	12	,	,	PUNCT
bibechana-70637	159	13	98(1):71–89	98(1):71–89	NUM
bibechana-70637	159	14	,	,	PUNCT
bibechana-70637	159	15	1989	1989	NUM
bibechana-70637	159	16	.	.	PUNCT
bibechana-70637	160	1	[	[	X
bibechana-70637	160	2	8	8	NUM
bibechana-70637	160	3	]	]	PUNCT
bibechana-70637	160	4	r.	r.	PROPN
bibechana-70637	160	5	k.	k.	PROPN
bibechana-70637	160	6	tiwari	tiwari	PROPN
bibechana-70637	160	7	and	and	CCONJ
bibechana-70637	160	8	h.	h.	PROPN
bibechana-70637	160	9	paudyal	paudyal	PROPN
bibechana-70637	160	10	.	.	PUNCT
bibechana-70637	161	1	geodynamics	geodynamic	NOUN
bibechana-70637	161	2	of	of	ADP
bibechana-70637	161	3	gorkha	gorkha	ADJ
bibechana-70637	161	4	earthquake	earthquake	NOUN
bibechana-70637	161	5	(	(	PUNCT
bibechana-70637	161	6	mw	mw	X
bibechana-70637	161	7	7.9	7.9	NUM
bibechana-70637	161	8	)	)	PUNCT
bibechana-70637	161	9	and	and	CCONJ
bibechana-70637	161	10	its	its	PRON
bibechana-70637	161	11	aftershocks	aftershock	NOUN
bibechana-70637	161	12	.	.	PUNCT
bibechana-70637	162	1	himalayan	himalayan	ADJ
bibechana-70637	162	2	physics	physics	PROPN
bibechana-70637	162	3	,	,	PUNCT
bibechana-70637	162	4	9:103–109	9:103–109	NUM
bibechana-70637	162	5	,	,	PUNCT
bibechana-70637	162	6	2020	2020	NUM
bibechana-70637	162	7	.	.	PUNCT
bibechana-70637	163	1	[	[	X
bibechana-70637	163	2	9	9	NUM
bibechana-70637	163	3	]	]	X
bibechana-70637	163	4	g.	g.	NOUN
bibechana-70637	163	5	monsalve	monsalve	PROPN
bibechana-70637	163	6	,	,	PUNCT
bibechana-70637	163	7	a.	a.	NOUN
bibechana-70637	163	8	sheehan	sheehan	PROPN
bibechana-70637	163	9	,	,	PUNCT
bibechana-70637	163	10	v.	v.	PROPN
bibechana-70637	163	11	schulte	schulte	PROPN
bibechana-70637	163	12	-	-	PUNCT
bibechana-70637	163	13	pelkum	pelkum	NOUN
bibechana-70637	163	14	,	,	PUNCT
bibechana-70637	163	15	s.	s.	PROPN
bibechana-70637	163	16	rajaure	rajaure	PROPN
bibechana-70637	163	17	,	,	PUNCT
bibechana-70637	163	18	m.	m.	PROPN
bibechana-70637	163	19	r.	r.	PROPN
bibechana-70637	163	20	pandey	pandey	PROPN
bibechana-70637	163	21	,	,	PUNCT
bibechana-70637	163	22	and	and	CCONJ
bibechana-70637	163	23	f.	f.	PROPN
bibechana-70637	163	24	wu	wu	PROPN
bibechana-70637	163	25	.	.	PUNCT
bibechana-70637	164	1	seismicity	seismicity	NOUN
bibechana-70637	164	2	and	and	CCONJ
bibechana-70637	164	3	one	one	NUM
bibechana-70637	164	4	-	-	PUNCT
bibechana-70637	164	5	dimensional	dimensional	ADJ
bibechana-70637	164	6	velocity	velocity	NOUN
bibechana-70637	164	7	structure	structure	NOUN
bibechana-70637	164	8	of	of	ADP
bibechana-70637	164	9	the	the	DET
bibechana-70637	164	10	himalayan	himalayan	ADJ
bibechana-70637	164	11	collision	collision	NOUN
bibechana-70637	164	12	zone	zone	NOUN
bibechana-70637	164	13	:	:	PUNCT
bibechana-70637	164	14	earthquakes	earthquake	NOUN
bibechana-70637	164	15	in	in	ADP
bibechana-70637	164	16	the	the	DET
bibechana-70637	164	17	crust	crust	NOUN
bibechana-70637	164	18	and	and	CCONJ
bibechana-70637	164	19	upper	upper	ADJ
bibechana-70637	164	20	mantle	mantle	NOUN
bibechana-70637	164	21	.	.	PUNCT
bibechana-70637	165	1	journal	journal	NOUN
bibechana-70637	165	2	of	of	ADP
bibechana-70637	165	3	geophysical	geophysical	ADJ
bibechana-70637	165	4	research	research	NOUN
bibechana-70637	165	5	:	:	PUNCT
bibechana-70637	165	6	solid	solid	ADJ
bibechana-70637	165	7	earth	earth	NOUN
bibechana-70637	165	8	,	,	PUNCT
bibechana-70637	165	9	111(10):1–19	111(10):1–19	NUM
bibechana-70637	165	10	,	,	PUNCT
bibechana-70637	165	11	2006	2006	NUM
bibechana-70637	165	12	.	.	PUNCT
bibechana-70637	166	1	[	[	X
bibechana-70637	166	2	10	10	NUM
bibechana-70637	166	3	]	]	PUNCT
bibechana-70637	166	4	r.	r.	PROPN
bibechana-70637	166	5	k.	k.	PROPN
bibechana-70637	166	6	tiwari	tiwari	PROPN
bibechana-70637	166	7	and	and	CCONJ
bibechana-70637	166	8	h.	h.	PROPN
bibechana-70637	166	9	paudyal	paudyal	PROPN
bibechana-70637	166	10	.	.	PUNCT
bibechana-70637	167	1	spatial	spatial	ADJ
bibechana-70637	167	2	mapping	mapping	NOUN
bibechana-70637	167	3	of	of	ADP
bibechana-70637	167	4	b	b	NOUN
bibechana-70637	167	5	-	-	PUNCT
bibechana-70637	167	6	value	value	NOUN
bibechana-70637	167	7	and	and	CCONJ
bibechana-70637	167	8	fractal	fractal	ADJ
bibechana-70637	167	9	dimension	dimension	NOUN
bibechana-70637	167	10	prior	prior	ADV
bibechana-70637	167	11	to	to	ADP
bibechana-70637	167	12	november	november	PROPN
bibechana-70637	167	13	8	8	NUM
bibechana-70637	167	14	,	,	PUNCT
bibechana-70637	167	15	2022	2022	NUM
bibechana-70637	167	16	doti	doti	NOUN
bibechana-70637	167	17	earthquake	earthquake	NOUN
bibechana-70637	167	18	,	,	PUNCT
bibechana-70637	167	19	nepal	nepal	PROPN
bibechana-70637	167	20	.	.	PUNCT
bibechana-70637	168	1	plos	plos	PROPN
bibechana-70637	168	2	one	one	NUM
bibechana-70637	168	3	,	,	PUNCT
bibechana-70637	168	4	18(8):1–13	18(8):1–13	NUM
bibechana-70637	168	5	,	,	PUNCT
bibechana-70637	168	6	2023	2023	NUM
bibechana-70637	168	7	.	.	PUNCT
bibechana-70637	169	1	[	[	X
bibechana-70637	169	2	11	11	NUM
bibechana-70637	169	3	]	]	PUNCT
bibechana-70637	169	4	m.	m.	NOUN
bibechana-70637	169	5	h.	h.	PROPN
bibechana-70637	169	6	al	al	PROPN
bibechana-70637	169	7	banna	banna	PROPN
bibechana-70637	169	8	,	,	PUNCT
bibechana-70637	169	9	k.	k.	PROPN
bibechana-70637	169	10	a.	a.	PROPN
bibechana-70637	169	11	taher	taher	PROPN
bibechana-70637	169	12	,	,	PUNCT
bibechana-70637	169	13	m.	m.	NOUN
bibechana-70637	169	14	s.	s.	PROPN
bibechana-70637	169	15	kaiser	kaiser	PROPN
bibechana-70637	169	16	,	,	PUNCT
bibechana-70637	169	17	m.	m.	NOUN
bibechana-70637	169	18	mahmud	mahmud	PROPN
bibechana-70637	169	19	,	,	PUNCT
bibechana-70637	169	20	m.	m.	NOUN
bibechana-70637	169	21	s.	s.	PROPN
bibechana-70637	169	22	rahman	rahman	PROPN
bibechana-70637	169	23	,	,	PUNCT
bibechana-70637	169	24	a.	a.	PROPN
bibechana-70637	169	25	s.	s.	PROPN
bibechana-70637	169	26	m.	m.	PROPN
bibechana-70637	169	27	s.	s.	PROPN
bibechana-70637	169	28	hosen	hosen	PROPN
bibechana-70637	169	29	,	,	PUNCT
bibechana-70637	169	30	and	and	CCONJ
bibechana-70637	169	31	g.	g.	PROPN
bibechana-70637	169	32	h.	h.	PROPN
bibechana-70637	169	33	cho	cho	PROPN
bibechana-70637	169	34	.	.	PUNCT
bibechana-70637	170	1	application	application	NOUN
bibechana-70637	170	2	of	of	ADP
bibechana-70637	170	3	artificial	artificial	ADJ
bibechana-70637	170	4	intelligence	intelligence	NOUN
bibechana-70637	170	5	in	in	ADP
bibechana-70637	170	6	predicting	predict	VERB
bibechana-70637	170	7	earthquakes	earthquake	NOUN
bibechana-70637	170	8	:	:	PUNCT
bibechana-70637	170	9	stateof	stateof	ADJ
bibechana-70637	170	10	-	-	PUNCT
bibechana-70637	170	11	the	the	DET
bibechana-70637	170	12	-	-	PUNCT
bibechana-70637	170	13	art	art	NOUN
bibechana-70637	170	14	and	and	CCONJ
bibechana-70637	170	15	future	future	ADJ
bibechana-70637	170	16	challenges	challenge	NOUN
bibechana-70637	170	17	.	.	PUNCT
bibechana-70637	171	1	ieee	ieee	NOUN
bibechana-70637	171	2	access	access	NOUN
bibechana-70637	171	3	,	,	PUNCT
bibechana-70637	171	4	8:192880–192923	8:192880–192923	NUM
bibechana-70637	171	5	,	,	PUNCT
bibechana-70637	171	6	2020	2020	NUM
bibechana-70637	171	7	.	.	PUNCT
bibechana-70637	172	1	[	[	X
bibechana-70637	172	2	12	12	NUM
bibechana-70637	172	3	]	]	PUNCT
bibechana-70637	172	4	m.	m.	NOUN
bibechana-70637	172	5	aryal	aryal	PROPN
bibechana-70637	172	6	,	,	PUNCT
bibechana-70637	172	7	r.	r.	PROPN
bibechana-70637	172	8	k.	k.	PROPN
bibechana-70637	172	9	tiwari	tiwari	PROPN
bibechana-70637	172	10	,	,	PUNCT
bibechana-70637	172	11	and	and	CCONJ
bibechana-70637	172	12	h.	h.	PROPN
bibechana-70637	172	13	paudyal	paudyal	PROPN
bibechana-70637	172	14	.	.	PUNCT
bibechana-70637	172	15	prediction	prediction	NOUN
bibechana-70637	172	16	of	of	ADP
bibechana-70637	172	17	earthquakes	earthquake	NOUN
bibechana-70637	172	18	in	in	ADP
bibechana-70637	172	19	nepal	nepal	NOUN
bibechana-70637	172	20	and	and	CCONJ
bibechana-70637	172	21	the	the	DET
bibechana-70637	172	22	adjoining	adjoining	ADJ
bibechana-70637	172	23	regions	region	NOUN
bibechana-70637	172	24	using	use	VERB
bibechana-70637	172	25	lstm	lstm	NOUN
bibechana-70637	172	26	.	.	PUNCT
bibechana-70637	173	1	bmc	bmc	PROPN
bibechana-70637	173	2	journal	journal	PROPN
bibechana-70637	173	3	of	of	ADP
bibechana-70637	173	4	scientific	scientific	ADJ
bibechana-70637	173	5	research	research	NOUN
bibechana-70637	173	6	,	,	PUNCT
bibechana-70637	173	7	7:12–26	7:12–26	NOUN
bibechana-70637	173	8	,	,	PUNCT
bibechana-70637	173	9	2024	2024	NUM
bibechana-70637	173	10	.	.	PUNCT
bibechana-70637	174	1	[	[	X
bibechana-70637	174	2	13	13	NUM
bibechana-70637	174	3	]	]	X
bibechana-70637	174	4	p.	p.	NOUN
bibechana-70637	174	5	m.	m.	PROPN
bibechana-70637	174	6	r.	r.	PROPN
bibechana-70637	174	7	devries	devries	PROPN
bibechana-70637	174	8	,	,	PUNCT
bibechana-70637	174	9	f.	f.	PROPN
bibechana-70637	174	10	viégas	viégas	PROPN
bibechana-70637	174	11	,	,	PUNCT
bibechana-70637	174	12	m.	m.	NOUN
bibechana-70637	174	13	wattenberg	wattenberg	PROPN
bibechana-70637	174	14	,	,	PUNCT
bibechana-70637	174	15	and	and	CCONJ
bibechana-70637	174	16	b.	b.	PROPN
bibechana-70637	174	17	j.	j.	PROPN
bibechana-70637	174	18	meade	meade	PROPN
bibechana-70637	174	19	.	.	PUNCT
bibechana-70637	175	1	deep	deep	ADJ
bibechana-70637	175	2	learning	learning	NOUN
bibechana-70637	175	3	of	of	ADP
bibechana-70637	175	4	aftershock	aftershock	NOUN
bibechana-70637	175	5	patterns	pattern	NOUN
bibechana-70637	175	6	following	follow	VERB
bibechana-70637	175	7	large	large	ADJ
bibechana-70637	175	8	earthquakes	earthquake	NOUN
bibechana-70637	175	9	.	.	PUNCT
bibechana-70637	176	1	nature	nature	NOUN
bibechana-70637	176	2	,	,	PUNCT
bibechana-70637	176	3	560(7720):632–634	560(7720):632–634	NUM
bibechana-70637	176	4	,	,	PUNCT
bibechana-70637	176	5	2018	2018	NUM
bibechana-70637	176	6	.	.	PUNCT
bibechana-70637	177	1	[	[	X
bibechana-70637	177	2	14	14	NUM
bibechana-70637	177	3	]	]	X
bibechana-70637	177	4	s.	s.	PROPN
bibechana-70637	177	5	shalev	shalev	PROPN
bibechana-70637	177	6	-	-	PUNCT
bibechana-70637	177	7	shwartz	shwartz	PROPN
bibechana-70637	177	8	and	and	CCONJ
bibechana-70637	177	9	s.	s.	PROPN
bibechana-70637	177	10	ben	ben	PROPN
bibechana-70637	177	11	-	-	PROPN
bibechana-70637	177	12	david	david	PROPN
bibechana-70637	177	13	.	.	PUNCT
bibechana-70637	178	1	understanding	understand	VERB
bibechana-70637	178	2	machine	machine	NOUN
bibechana-70637	178	3	learning	learning	NOUN
bibechana-70637	178	4	:	:	PUNCT
bibechana-70637	178	5	from	from	ADP
bibechana-70637	178	6	theory	theory	NOUN
bibechana-70637	178	7	to	to	ADP
bibechana-70637	178	8	algorithms	algorithms	PROPN
bibechana-70637	178	9	.	.	PUNCT
bibechana-70637	179	1	cambridge	cambridge	PROPN
bibechana-70637	179	2	university	university	PROPN
bibechana-70637	179	3	press	press	NOUN
bibechana-70637	179	4	,	,	PUNCT
bibechana-70637	179	5	2014	2014	NUM
bibechana-70637	179	6	.	.	PUNCT
bibechana-70637	180	1	[	[	X
bibechana-70637	180	2	15	15	NUM
bibechana-70637	180	3	]	]	X
bibechana-70637	180	4	h.	h.	NOUN
bibechana-70637	180	5	adeli	adeli	PROPN
bibechana-70637	180	6	and	and	CCONJ
bibechana-70637	180	7	a.	a.	NOUN
bibechana-70637	180	8	panakkat	panakkat	PROPN
bibechana-70637	180	9	.	.	PUNCT
bibechana-70637	181	1	a	a	DET
bibechana-70637	181	2	probabilistic	probabilistic	ADJ
bibechana-70637	181	3	neural	neural	ADJ
bibechana-70637	181	4	network	network	NOUN
bibechana-70637	181	5	for	for	ADP
bibechana-70637	181	6	earthquake	earthquake	NOUN
bibechana-70637	181	7	magnitude	magnitude	NOUN
bibechana-70637	181	8	prediction	prediction	NOUN
bibechana-70637	181	9	.	.	PUNCT
bibechana-70637	182	1	neural	neural	ADJ
bibechana-70637	182	2	networks	network	NOUN
bibechana-70637	182	3	,	,	PUNCT
bibechana-70637	182	4	22(7):1018–1024	22(7):1018–1024	NUM
bibechana-70637	182	5	,	,	PUNCT
bibechana-70637	182	6	2009	2009	NUM
bibechana-70637	182	7	.	.	PUNCT
bibechana-70637	183	1	[	[	X
bibechana-70637	183	2	16	16	NUM
bibechana-70637	183	3	]	]	PUNCT
bibechana-70637	183	4	a.	a.	NOUN
bibechana-70637	183	5	panakkat	panakkat	PROPN
bibechana-70637	183	6	and	and	CCONJ
bibechana-70637	183	7	h.	h.	PROPN
bibechana-70637	183	8	adeli	adeli	PROPN
bibechana-70637	183	9	.	.	PUNCT
bibechana-70637	184	1	neural	neural	ADJ
bibechana-70637	184	2	network	network	NOUN
bibechana-70637	184	3	models	model	NOUN
bibechana-70637	184	4	for	for	ADP
bibechana-70637	184	5	earthquake	earthquake	NOUN
bibechana-70637	184	6	magnitude	magnitude	NOUN
bibechana-70637	184	7	prediction	prediction	NOUN
bibechana-70637	184	8	using	use	VERB
bibechana-70637	184	9	multiple	multiple	ADJ
bibechana-70637	184	10	seismicity	seismicity	NOUN
bibechana-70637	184	11	indicators	indicator	NOUN
bibechana-70637	184	12	.	.	PUNCT
bibechana-70637	185	1	international	international	ADJ
bibechana-70637	185	2	journal	journal	PROPN
bibechana-70637	185	3	of	of	ADP
bibechana-70637	185	4	neural	neural	ADJ
bibechana-70637	185	5	systems	system	NOUN
bibechana-70637	185	6	,	,	PUNCT
bibechana-70637	185	7	17(1):13–33	17(1):13–33	NUM
bibechana-70637	185	8	,	,	PUNCT
bibechana-70637	185	9	2007	2007	NUM
bibechana-70637	185	10	.	.	PUNCT
bibechana-70637	186	1	[	[	X
bibechana-70637	186	2	17	17	NUM
bibechana-70637	186	3	]	]	X
bibechana-70637	186	4	g.	g.	PROPN
bibechana-70637	186	5	asencio	asencio	PROPN
bibechana-70637	186	6	-	-	PUNCT
bibechana-70637	186	7	cortés	cortés	PROPN
bibechana-70637	186	8	,	,	PUNCT
bibechana-70637	186	9	f.	f.	PROPN
bibechana-70637	186	10	martínez	martínez	PROPN
bibechana-70637	186	11	-	-	PUNCT
bibechana-70637	186	12	álvarez	álvarez	PROPN
bibechana-70637	186	13	,	,	PUNCT
bibechana-70637	186	14	a.	a.	NOUN
bibechana-70637	186	15	troncoso	troncoso	NOUN
bibechana-70637	186	16	,	,	PUNCT
bibechana-70637	186	17	and	and	CCONJ
bibechana-70637	186	18	a.	a.	NOUN
bibechana-70637	186	19	morales	morales	PROPN
bibechana-70637	186	20	-	-	PUNCT
bibechana-70637	186	21	esteban	esteban	PROPN
bibechana-70637	186	22	.	.	PUNCT
bibechana-70637	187	1	medium	medium	ADJ
bibechana-70637	187	2	–	–	PUNCT
bibechana-70637	187	3	large	large	ADJ
bibechana-70637	187	4	earthquake	earthquake	NOUN
bibechana-70637	187	5	magnitude	magnitude	NOUN
bibechana-70637	187	6	prediction	prediction	NOUN
bibechana-70637	187	7	in	in	ADP
bibechana-70637	187	8	tokyo	tokyo	PROPN
bibechana-70637	187	9	with	with	ADP
bibechana-70637	187	10	artificial	artificial	ADJ
bibechana-70637	187	11	neural	neural	ADJ
bibechana-70637	187	12	networks	network	NOUN
bibechana-70637	187	13	.	.	PUNCT
bibechana-70637	188	1	neural	neural	ADJ
bibechana-70637	188	2	computing	computing	NOUN
bibechana-70637	188	3	and	and	CCONJ
bibechana-70637	188	4	applications	application	NOUN
bibechana-70637	188	5	,	,	PUNCT
bibechana-70637	188	6	28(5):1043–1055	28(5):1043–1055	PROPN
bibechana-70637	188	7	,	,	PUNCT
bibechana-70637	188	8	2017	2017	NUM
bibechana-70637	188	9	.	.	PUNCT
bibechana-70637	189	1	[	[	X
bibechana-70637	189	2	18	18	NUM
bibechana-70637	189	3	]	]	PUNCT
bibechana-70637	189	4	k.	k.	NOUN
bibechana-70637	189	5	budiman	budiman	PROPN
bibechana-70637	189	6	and	and	CCONJ
bibechana-70637	189	7	y.	y.	PROPN
bibechana-70637	189	8	n.	n.	PROPN
bibechana-70637	189	9	ifriza	ifriza	PROPN
bibechana-70637	189	10	.	.	PUNCT
bibechana-70637	190	1	analysis	analysis	NOUN
bibechana-70637	190	2	of	of	ADP
bibechana-70637	190	3	earthquake	earthquake	NOUN
bibechana-70637	190	4	forecasting	forecasting	NOUN
bibechana-70637	190	5	using	use	VERB
bibechana-70637	190	6	random	random	ADJ
bibechana-70637	190	7	forest	forest	NOUN
bibechana-70637	190	8	.	.	PUNCT
bibechana-70637	191	1	journal	journal	NOUN
bibechana-70637	191	2	of	of	ADP
bibechana-70637	191	3	soft	soft	ADJ
bibechana-70637	191	4	computing	compute	VERB
bibechana-70637	191	5	exploration	exploration	NOUN
bibechana-70637	191	6	,	,	PUNCT
bibechana-70637	191	7	2(2	2(2	NUM
bibechana-70637	191	8	)	)	PUNCT
bibechana-70637	191	9	,	,	PUNCT
bibechana-70637	191	10	2021	2021	NUM
bibechana-70637	191	11	.	.	PUNCT
bibechana-70637	192	1	[	[	X
bibechana-70637	192	2	19	19	NUM
bibechana-70637	192	3	]	]	X
bibechana-70637	192	4	j.	j.	PROPN
bibechana-70637	192	5	tezcan	tezcan	PROPN
bibechana-70637	192	6	and	and	CCONJ
bibechana-70637	192	7	q.	q.	PROPN
bibechana-70637	192	8	cheng	cheng	PROPN
bibechana-70637	192	9	.	.	PUNCT
bibechana-70637	193	1	support	support	NOUN
bibechana-70637	193	2	vector	vector	NOUN
bibechana-70637	193	3	regression	regression	NOUN
bibechana-70637	193	4	for	for	ADP
bibechana-70637	193	5	estimating	estimate	VERB
bibechana-70637	193	6	earthquake	earthquake	NOUN
bibechana-70637	193	7	response	response	NOUN
bibechana-70637	193	8	spectra	spectra	PROPN
bibechana-70637	193	9	.	.	PUNCT
bibechana-70637	194	1	bulletin	bulletin	NOUN
bibechana-70637	194	2	of	of	ADP
bibechana-70637	194	3	earthquake	earthquake	NOUN
bibechana-70637	194	4	engineering	engineering	NOUN
bibechana-70637	194	5	,	,	PUNCT
bibechana-70637	194	6	10(4):1205–1219	10(4):1205–1219	NUM
bibechana-70637	194	7	,	,	PUNCT
bibechana-70637	194	8	2012	2012	NUM
bibechana-70637	194	9	.	.	PUNCT
bibechana-70637	195	1	ram	ram	PROPN
bibechana-70637	195	2	krishna	krishna	PROPN
bibechana-70637	195	3	tiwari	tiwari	PROPN
bibechana-70637	195	4	et	et	PROPN
bibechana-70637	195	5	al./	al./	ADV
bibechana-70637	195	6	bibechana	bibechana	PROPN
bibechana-70637	195	7	22	22	NUM
bibechana-70637	195	8	(	(	PUNCT
bibechana-70637	195	9	2025	2025	NUM
bibechana-70637	195	10	)	)	PUNCT
bibechana-70637	195	11	22	22	NUM
bibechana-70637	195	12	-	-	SYM
bibechana-70637	195	13	29	29	NUM
bibechana-70637	195	14	29	29	NUM
bibechana-70637	195	15	[	[	SYM
bibechana-70637	195	16	20	20	NUM
bibechana-70637	195	17	]	]	PUNCT
bibechana-70637	195	18	j.	j.	PROPN
bibechana-70637	195	19	mahmoudi	mahmoudi	PROPN
bibechana-70637	195	20	,	,	PUNCT
bibechana-70637	195	21	m.	m.	NOUN
bibechana-70637	195	22	a.	a.	PROPN
bibechana-70637	195	23	arjomand	arjomand	PROPN
bibechana-70637	195	24	,	,	PUNCT
bibechana-70637	195	25	m.	m.	NOUN
bibechana-70637	195	26	rezaei	rezaei	PROPN
bibechana-70637	195	27	,	,	PUNCT
bibechana-70637	195	28	and	and	CCONJ
bibechana-70637	195	29	m.	m.	PROPN
bibechana-70637	195	30	h.	h.	PROPN
bibechana-70637	195	31	mohammadi	mohammadi	PROPN
bibechana-70637	195	32	.	.	PUNCT
bibechana-70637	196	1	predicting	predict	VERB
bibechana-70637	196	2	the	the	DET
bibechana-70637	196	3	earthquake	earthquake	NOUN
bibechana-70637	196	4	magnitude	magnitude	NOUN
bibechana-70637	196	5	using	use	VERB
bibechana-70637	196	6	the	the	DET
bibechana-70637	196	7	multilayer	multilayer	ADJ
bibechana-70637	196	8	perceptron	perceptron	PROPN
bibechana-70637	196	9	neural	neural	PROPN
bibechana-70637	196	10	network	network	NOUN
bibechana-70637	196	11	with	with	ADP
bibechana-70637	196	12	two	two	NUM
bibechana-70637	196	13	hidden	hidden	ADJ
bibechana-70637	196	14	layers	layer	NOUN
bibechana-70637	196	15	.	.	PUNCT
bibechana-70637	197	1	civil	civil	ADJ
bibechana-70637	197	2	engineering	engineering	NOUN
bibechana-70637	197	3	journal	journal	NOUN
bibechana-70637	197	4	,	,	PUNCT
bibechana-70637	197	5	2(1):1–12	2(1):1–12	PROPN
bibechana-70637	197	6	,	,	PUNCT
bibechana-70637	197	7	2016	2016	NUM
bibechana-70637	197	8	.	.	PUNCT
bibechana-70637	198	1	[	[	X
bibechana-70637	198	2	21	21	NUM
bibechana-70637	198	3	]	]	PUNCT
bibechana-70637	198	4	j.	j.	PROPN
bibechana-70637	198	5	liu	liu	PROPN
bibechana-70637	198	6	,	,	PUNCT
bibechana-70637	198	7	c.	c.	PROPN
bibechana-70637	198	8	ji	ji	PROPN
bibechana-70637	198	9	,	,	PUNCT
bibechana-70637	198	10	j.	j.	PROPN
bibechana-70637	198	11	zhang	zhang	PROPN
bibechana-70637	198	12	,	,	PUNCT
bibechana-70637	198	13	p.	p.	PROPN
bibechana-70637	198	14	zhang	zhang	PROPN
bibechana-70637	198	15	,	,	PUNCT
bibechana-70637	198	16	l.	l.	PROPN
bibechana-70637	198	17	zeng	zeng	PROPN
bibechana-70637	198	18	,	,	PUNCT
bibechana-70637	198	19	z.	z.	PROPN
bibechana-70637	198	20	li	li	PROPN
bibechana-70637	198	21	,	,	PUNCT
bibechana-70637	198	22	and	and	CCONJ
bibechana-70637	198	23	w.	w.	PROPN
bibechana-70637	198	24	wang	wang	PROPN
bibechana-70637	198	25	.	.	PUNCT
bibechana-70637	199	1	tectonic	tectonic	PROPN
bibechana-70637	199	2	setting	setting	NOUN
bibechana-70637	199	3	and	and	CCONJ
bibechana-70637	199	4	general	general	ADJ
bibechana-70637	199	5	features	feature	NOUN
bibechana-70637	199	6	of	of	ADP
bibechana-70637	199	7	coseismic	coseismic	ADJ
bibechana-70637	199	8	rupture	rupture	NOUN
bibechana-70637	199	9	of	of	ADP
bibechana-70637	199	10	the	the	DET
bibechana-70637	199	11	25	25	NUM
bibechana-70637	199	12	april	april	PROPN
bibechana-70637	199	13	,	,	PUNCT
bibechana-70637	199	14	2015	2015	NUM
bibechana-70637	199	15	mw	mw	VERB
bibechana-70637	199	16	7.8	7.8	NUM
bibechana-70637	199	17	gorkha	gorkha	NOUN
bibechana-70637	199	18	,	,	PUNCT
bibechana-70637	199	19	nepal	nepal	ADJ
bibechana-70637	199	20	earthquake	earthquake	NOUN
bibechana-70637	199	21	.	.	PUNCT
bibechana-70637	200	1	chinese	chinese	ADJ
bibechana-70637	200	2	science	science	PROPN
bibechana-70637	200	3	bulletin	bulletin	NOUN
bibechana-70637	200	4	,	,	PUNCT
bibechana-70637	200	5	60(27):2640	60(27):2640	NUM
bibechana-70637	200	6	–	–	PUNCT
bibechana-70637	200	7	2658	2658	NUM
bibechana-70637	200	8	,	,	PUNCT
bibechana-70637	200	9	2015	2015	NUM
bibechana-70637	200	10	.	.	PUNCT
bibechana-70637	201	1	[	[	X
bibechana-70637	201	2	22	22	NUM
bibechana-70637	201	3	]	]	PUNCT
bibechana-70637	201	4	r.	r.	PROPN
bibechana-70637	201	5	k.	k.	PROPN
bibechana-70637	201	6	tiwari	tiwari	PROPN
bibechana-70637	201	7	,	,	PUNCT
bibechana-70637	201	8	h.	h.	PROPN
bibechana-70637	201	9	paudyal	paudyal	PROPN
bibechana-70637	201	10	,	,	PUNCT
bibechana-70637	201	11	and	and	CCONJ
bibechana-70637	201	12	d.	d.	PROPN
bibechana-70637	201	13	shanker	shanker	PROPN
bibechana-70637	201	14	.	.	PUNCT
bibechana-70637	202	1	on	on	ADP
bibechana-70637	202	2	the	the	DET
bibechana-70637	202	3	spatio	spatio	PROPN
bibechana-70637	202	4	-	-	PUNCT
bibechana-70637	202	5	temporal	temporal	ADJ
bibechana-70637	202	6	variation	variation	NOUN
bibechana-70637	202	7	in	in	ADP
bibechana-70637	202	8	b	b	NOUN
bibechana-70637	202	9	-	-	PUNCT
bibechana-70637	202	10	value	value	NOUN
bibechana-70637	202	11	after	after	ADP
bibechana-70637	202	12	25	25	NUM
bibechana-70637	202	13	april	april	PROPN
bibechana-70637	202	14	2015	2015	NUM
bibechana-70637	202	15	gorkha	gorkha	NOUN
bibechana-70637	202	16	,	,	PUNCT
bibechana-70637	202	17	nepal	nepal	ADJ
bibechana-70637	202	18	earthquake	earthquake	NOUN
bibechana-70637	202	19	.	.	PUNCT
bibechana-70637	203	1	geodesy	geodesy	PROPN
bibechana-70637	203	2	and	and	CCONJ
bibechana-70637	203	3	geodynamics	geodynamics	PROPN
bibechana-70637	203	4	,	,	PUNCT
bibechana-70637	203	5	13(5):525	13(5):525	PROPN
bibechana-70637	203	6	–	–	PUNCT
bibechana-70637	203	7	533	533	NUM
bibechana-70637	203	8	,	,	PUNCT
bibechana-70637	203	9	2022	2022	NUM
bibechana-70637	203	10	.	.	PUNCT
bibechana-70637	204	1	[	[	X
bibechana-70637	204	2	23	23	NUM
bibechana-70637	204	3	]	]	PUNCT
bibechana-70637	204	4	b.	b.	PROPN
bibechana-70637	204	5	n.	n.	PROPN
bibechana-70637	204	6	upreti	upreti	PROPN
bibechana-70637	204	7	.	.	PUNCT
bibechana-70637	205	1	an	an	DET
bibechana-70637	205	2	overview	overview	NOUN
bibechana-70637	205	3	of	of	ADP
bibechana-70637	205	4	the	the	DET
bibechana-70637	205	5	stratigraphy	stratigraphy	NOUN
bibechana-70637	205	6	and	and	CCONJ
bibechana-70637	205	7	tectonics	tectonic	NOUN
bibechana-70637	205	8	of	of	ADP
bibechana-70637	205	9	the	the	DET
bibechana-70637	205	10	nepal	nepal	PROPN
bibechana-70637	205	11	himalaya	himalaya	PROPN
bibechana-70637	205	12	.	.	PUNCT
bibechana-70637	206	1	journal	journal	PROPN
bibechana-70637	206	2	of	of	ADP
bibechana-70637	206	3	asian	asian	ADJ
bibechana-70637	206	4	earth	earth	NOUN
bibechana-70637	206	5	sciences	science	NOUN
bibechana-70637	206	6	,	,	PUNCT
bibechana-70637	206	7	17(5–6):577–606	17(5–6):577–606	NUM
bibechana-70637	206	8	,	,	PUNCT
bibechana-70637	206	9	1999	1999	NUM
bibechana-70637	206	10	.	.	PUNCT
bibechana-70637	207	1	[	[	X
bibechana-70637	207	2	24	24	NUM
bibechana-70637	207	3	]	]	X
bibechana-70637	207	4	g.	g.	PROPN
bibechana-70637	207	5	c.	c.	PROPN
bibechana-70637	207	6	beroza	beroza	PROPN
bibechana-70637	207	7	,	,	PUNCT
bibechana-70637	207	8	m.	m.	NOUN
bibechana-70637	207	9	segou	segou	PROPN
bibechana-70637	207	10	,	,	PUNCT
bibechana-70637	207	11	and	and	CCONJ
bibechana-70637	207	12	s.	s.	PROPN
bibechana-70637	207	13	mostafa	mostafa	PROPN
bibechana-70637	207	14	mousavi	mousavi	PROPN
bibechana-70637	207	15	.	.	PROPN
bibechana-70637	207	16	machine	machine	NOUN
bibechana-70637	207	17	learning	learning	NOUN
bibechana-70637	207	18	and	and	CCONJ
bibechana-70637	207	19	earthquake	earthquake	NOUN
bibechana-70637	207	20	forecasting	forecasting	NOUN
bibechana-70637	207	21	—	—	PUNCT
bibechana-70637	207	22	next	next	ADJ
bibechana-70637	207	23	steps	step	NOUN
bibechana-70637	207	24	.	.	PUNCT
bibechana-70637	208	1	nature	nature	NOUN
bibechana-70637	208	2	communications	communication	NOUN
bibechana-70637	208	3	,	,	PUNCT
bibechana-70637	208	4	12(1):10–12	12(1):10–12	NUM
bibechana-70637	208	5	,	,	PUNCT
bibechana-70637	208	6	2021	2021	NUM
bibechana-70637	208	7	.	.	PUNCT
bibechana-70637	209	1	[	[	X
bibechana-70637	209	2	25	25	NUM
bibechana-70637	209	3	]	]	X
bibechana-70637	209	4	s.	s.	PROPN
bibechana-70637	209	5	m.	m.	PROPN
bibechana-70637	209	6	mousavi	mousavi	PROPN
bibechana-70637	209	7	and	and	CCONJ
bibechana-70637	209	8	g.	g.	PROPN
bibechana-70637	209	9	c.	c.	PROPN
bibechana-70637	209	10	beroza	beroza	PROPN
bibechana-70637	209	11	.	.	PUNCT
bibechana-70637	210	1	machine	machine	NOUN
bibechana-70637	210	2	learning	learn	VERB
bibechana-70637	210	3	in	in	ADP
bibechana-70637	210	4	earthquake	earthquake	NOUN
bibechana-70637	210	5	seismology	seismology	NOUN
bibechana-70637	210	6	.	.	PUNCT
bibechana-70637	211	1	annual	annual	ADJ
bibechana-70637	211	2	review	review	NOUN
bibechana-70637	211	3	of	of	ADP
bibechana-70637	211	4	earth	earth	NOUN
bibechana-70637	211	5	and	and	CCONJ
bibechana-70637	211	6	planetary	planetary	ADJ
bibechana-70637	211	7	sciences	science	NOUN
bibechana-70637	211	8	,	,	PUNCT
bibechana-70637	211	9	51:105	51:105	NUM
bibechana-70637	211	10	–	–	PUNCT
bibechana-70637	211	11	129	129	NUM
bibechana-70637	211	12	,	,	PUNCT
bibechana-70637	211	13	2023	2023	NUM
bibechana-70637	211	14	.	.	PUNCT
bibechana-70637	212	1	[	[	X
bibechana-70637	212	2	26	26	NUM
bibechana-70637	212	3	]	]	PUNCT
bibechana-70637	212	4	t.	t.	NOUN
bibechana-70637	212	5	chelidze	chelidze	PROPN
bibechana-70637	212	6	,	,	PUNCT
bibechana-70637	212	7	g.	g.	PROPN
bibechana-70637	212	8	melikadze	melikadze	PROPN
bibechana-70637	212	9	,	,	PUNCT
bibechana-70637	212	10	t.	t.	PROPN
bibechana-70637	212	11	kiria	kiria	PROPN
bibechana-70637	212	12	,	,	PUNCT
bibechana-70637	212	13	t.	t.	PROPN
bibechana-70637	212	14	jimsheladze	jimsheladze	PROPN
bibechana-70637	212	15	,	,	PUNCT
bibechana-70637	212	16	and	and	CCONJ
bibechana-70637	212	17	g.	g.	PROPN
bibechana-70637	212	18	kobzev	kobzev	PROPN
bibechana-70637	212	19	.	.	PUNCT
bibechana-70637	213	1	statistical	statistical	ADJ
bibechana-70637	213	2	and	and	CCONJ
bibechana-70637	213	3	nonlinear	nonlinear	ADJ
bibechana-70637	213	4	dynamics	dynamic	NOUN
bibechana-70637	213	5	methods	method	NOUN
bibechana-70637	213	6	of	of	ADP
bibechana-70637	213	7	earthquake	earthquake	NOUN
bibechana-70637	213	8	forecast	forecast	NOUN
bibechana-70637	213	9	:	:	PUNCT
bibechana-70637	213	10	application	application	NOUN
bibechana-70637	213	11	in	in	ADP
bibechana-70637	213	12	the	the	DET
bibechana-70637	213	13	caucasus	caucasus	NOUN
bibechana-70637	213	14	.	.	PUNCT
bibechana-70637	214	1	frontiers	frontier	NOUN
bibechana-70637	214	2	in	in	ADP
bibechana-70637	214	3	earth	earth	NOUN
bibechana-70637	214	4	science	science	NOUN
bibechana-70637	214	5	,	,	PUNCT
bibechana-70637	214	6	8(june	8(june	NUM
bibechana-70637	214	7	)	)	PUNCT
bibechana-70637	214	8	,	,	PUNCT
bibechana-70637	214	9	2020	2020	NUM
bibechana-70637	214	10	.	.	PUNCT
bibechana-70637	215	1	[	[	X
bibechana-70637	215	2	27	27	NUM
bibechana-70637	215	3	]	]	PUNCT
bibechana-70637	215	4	a.	a.	NOUN
bibechana-70637	215	5	negarestani	negarestani	PROPN
bibechana-70637	215	6	,	,	PUNCT
bibechana-70637	215	7	s.	s.	PROPN
bibechana-70637	215	8	setayeshi	setayeshi	PROPN
bibechana-70637	215	9	,	,	PUNCT
bibechana-70637	215	10	m.	m.	NOUN
bibechana-70637	215	11	ghannadimaragheh	ghannadimaragheh	NOUN
bibechana-70637	215	12	,	,	PUNCT
bibechana-70637	215	13	and	and	CCONJ
bibechana-70637	215	14	b.	b.	PROPN
bibechana-70637	215	15	akashe	akashe	PROPN
bibechana-70637	215	16	.	.	PUNCT
bibechana-70637	216	1	layered	layer	VERB
bibechana-70637	216	2	neural	neural	ADJ
bibechana-70637	216	3	networks	network	NOUN
bibechana-70637	216	4	based	base	VERB
bibechana-70637	216	5	analysis	analysis	NOUN
bibechana-70637	216	6	of	of	ADP
bibechana-70637	216	7	radon	radon	ADJ
bibechana-70637	216	8	concentration	concentration	NOUN
bibechana-70637	216	9	and	and	CCONJ
bibechana-70637	216	10	environmental	environmental	ADJ
bibechana-70637	216	11	parameters	parameter	NOUN
bibechana-70637	216	12	in	in	ADP
bibechana-70637	216	13	earthquake	earthquake	NOUN
bibechana-70637	216	14	prediction	prediction	NOUN
bibechana-70637	216	15	.	.	PUNCT
bibechana-70637	217	1	journal	journal	PROPN
bibechana-70637	217	2	of	of	ADP
bibechana-70637	217	3	environmental	environmental	ADJ
bibechana-70637	217	4	radioactivity	radioactivity	NOUN
bibechana-70637	217	5	,	,	PUNCT
bibechana-70637	217	6	62(3):225–233	62(3):225–233	PROPN
bibechana-70637	217	7	,	,	PUNCT
bibechana-70637	217	8	2002	2002	NUM
bibechana-70637	217	9	.	.	PUNCT
bibechana-70637	218	1	[	[	X
bibechana-70637	218	2	28	28	NUM
bibechana-70637	218	3	]	]	X
bibechana-70637	218	4	k.	k.	PROPN
bibechana-70637	218	5	m.	m.	PROPN
bibechana-70637	218	6	asim	asim	PROPN
bibechana-70637	218	7	,	,	PUNCT
bibechana-70637	218	8	f.	f.	PROPN
bibechana-70637	218	9	martínez	martínez	PROPN
bibechana-70637	218	10	-	-	PUNCT
bibechana-70637	218	11	álvarez	álvarez	PROPN
bibechana-70637	218	12	,	,	PUNCT
bibechana-70637	218	13	a.	a.	NOUN
bibechana-70637	218	14	basit	basit	PROPN
bibechana-70637	218	15	,	,	PUNCT
bibechana-70637	218	16	and	and	CCONJ
bibechana-70637	218	17	t.	t.	PROPN
bibechana-70637	218	18	iqbal	iqbal	PROPN
bibechana-70637	218	19	.	.	PUNCT
bibechana-70637	219	1	earthquake	earthquake	NOUN
bibechana-70637	219	2	magnitude	magnitude	NOUN
bibechana-70637	219	3	prediction	prediction	NOUN
bibechana-70637	219	4	in	in	ADP
bibechana-70637	219	5	hindukush	hindukush	NOUN
bibechana-70637	219	6	region	region	NOUN
bibechana-70637	219	7	using	use	VERB
bibechana-70637	219	8	machine	machine	NOUN
bibechana-70637	219	9	learning	learn	VERB
bibechana-70637	219	10	techniques	technique	NOUN
bibechana-70637	219	11	.	.	PUNCT
bibechana-70637	220	1	natural	natural	ADJ
bibechana-70637	220	2	hazards	hazard	NOUN
bibechana-70637	220	3	,	,	PUNCT
bibechana-70637	220	4	85(1):471	85(1):471	NUM
bibechana-70637	220	5	–	–	PUNCT
bibechana-70637	220	6	486	486	NUM
bibechana-70637	220	7	,	,	PUNCT
bibechana-70637	220	8	2017	2017	NUM
bibechana-70637	220	9	.	.	PUNCT
bibechana-70637	221	1	[	[	X
bibechana-70637	221	2	29	29	NUM
bibechana-70637	221	3	]	]	X
bibechana-70637	221	4	e.	e.	PROPN
bibechana-70637	221	5	i.	i.	PROPN
bibechana-70637	221	6	alves	alves	PROPN
bibechana-70637	221	7	.	.	PUNCT
bibechana-70637	222	1	earthquake	earthquake	NOUN
bibechana-70637	222	2	forecasting	forecasting	NOUN
bibechana-70637	222	3	using	use	VERB
bibechana-70637	222	4	neural	neural	ADJ
bibechana-70637	222	5	networks	network	NOUN
bibechana-70637	222	6	:	:	PUNCT
bibechana-70637	222	7	results	result	NOUN
bibechana-70637	222	8	and	and	CCONJ
bibechana-70637	222	9	future	future	ADJ
bibechana-70637	222	10	work	work	NOUN
bibechana-70637	222	11	.	.	PUNCT
bibechana-70637	223	1	nonlinear	nonlinear	ADJ
bibechana-70637	223	2	dynamics	dynamic	NOUN
bibechana-70637	223	3	,	,	PUNCT
bibechana-70637	223	4	44(1	44(1	PROPN
bibechana-70637	223	5	-	-	NOUN
bibechana-70637	223	6	4):341–349	4):341–349	NUM
bibechana-70637	223	7	,	,	PUNCT
bibechana-70637	223	8	2006	2006	NUM
bibechana-70637	223	9	.	.	PUNCT
bibechana-70637	224	1	[	[	X
bibechana-70637	224	2	30	30	NUM
bibechana-70637	224	3	]	]	X
bibechana-70637	224	4	s.	s.	PROPN
bibechana-70637	224	5	sri	sri	PROPN
bibechana-70637	224	6	lakshmi	lakshmi	PROPN
bibechana-70637	224	7	and	and	CCONJ
bibechana-70637	224	8	r.	r.	PROPN
bibechana-70637	224	9	k.	k.	PROPN
bibechana-70637	224	10	tiwari	tiwari	PROPN
bibechana-70637	224	11	.	.	PUNCT
bibechana-70637	225	1	model	model	PROPN
bibechana-70637	225	2	dissection	dissection	PROPN
bibechana-70637	225	3	from	from	ADP
bibechana-70637	225	4	earthquake	earthquake	NOUN
bibechana-70637	225	5	time	time	NOUN
bibechana-70637	225	6	series	series	PROPN
bibechana-70637	225	7	:	:	PUNCT
bibechana-70637	225	8	a	a	DET
bibechana-70637	225	9	comparative	comparative	ADJ
bibechana-70637	225	10	analysis	analysis	NOUN
bibechana-70637	225	11	using	use	VERB
bibechana-70637	225	12	modern	modern	ADJ
bibechana-70637	225	13	non	non	ADJ
bibechana-70637	225	14	-	-	ADJ
bibechana-70637	225	15	linear	linear	ADJ
bibechana-70637	225	16	forecasting	forecasting	NOUN
bibechana-70637	225	17	and	and	CCONJ
bibechana-70637	225	18	artificial	artificial	ADJ
bibechana-70637	225	19	neural	neural	ADJ
bibechana-70637	225	20	network	network	NOUN
bibechana-70637	225	21	approaches	approach	NOUN
bibechana-70637	225	22	.	.	PUNCT
bibechana-70637	226	1	computers	computer	NOUN
bibechana-70637	226	2	and	and	CCONJ
bibechana-70637	226	3	geosciences	geoscience	NOUN
bibechana-70637	226	4	,	,	PUNCT
bibechana-70637	226	5	35(2):191–204	35(2):191–204	NUM
bibechana-70637	226	6	,	,	PUNCT
bibechana-70637	226	7	2009	2009	NUM
bibechana-70637	226	8	.	.	PUNCT
bibechana-70637	227	1	[	[	X
bibechana-70637	227	2	31	31	NUM
bibechana-70637	227	3	]	]	X
bibechana-70637	227	4	r.	r.	PROPN
bibechana-70637	227	5	mallouhy	mallouhy	PROPN
bibechana-70637	227	6	,	,	PUNCT
bibechana-70637	227	7	c.	c.	PROPN
bibechana-70637	227	8	a.	a.	NOUN
bibechana-70637	227	9	jaoude	jaoude	PROPN
bibechana-70637	227	10	,	,	PUNCT
bibechana-70637	227	11	c.	c.	PROPN
bibechana-70637	227	12	guyeux	guyeux	PROPN
bibechana-70637	227	13	,	,	PUNCT
bibechana-70637	227	14	and	and	CCONJ
bibechana-70637	227	15	a.	a.	NOUN
bibechana-70637	227	16	makhoul	makhoul	NOUN
bibechana-70637	227	17	.	.	PUNCT
bibechana-70637	228	1	major	major	ADJ
bibechana-70637	228	2	earthquake	earthquake	NOUN
bibechana-70637	228	3	event	event	NOUN
bibechana-70637	228	4	prediction	prediction	NOUN
bibechana-70637	228	5	using	use	VERB
bibechana-70637	228	6	various	various	ADJ
bibechana-70637	228	7	machine	machine	NOUN
bibechana-70637	228	8	learning	learn	VERB
bibechana-70637	228	9	algorithms	algorithm	NOUN
bibechana-70637	228	10	.	.	PUNCT
bibechana-70637	229	1	in	in	ADP
bibechana-70637	229	2	6th	6th	ADJ
bibechana-70637	229	3	international	international	ADJ
bibechana-70637	229	4	conference	conference	NOUN
bibechana-70637	229	5	on	on	ADP
bibechana-70637	229	6	information	information	NOUN
bibechana-70637	229	7	and	and	CCONJ
bibechana-70637	229	8	communication	communication	NOUN
bibechana-70637	229	9	technologies	technology	NOUN
bibechana-70637	229	10	for	for	ADP
bibechana-70637	229	11	disaster	disaster	NOUN
bibechana-70637	229	12	management	management	NOUN
bibechana-70637	229	13	,	,	PUNCT
bibechana-70637	229	14	ict	ict	PROPN
bibechana-70637	229	15	-	-	PUNCT
bibechana-70637	229	16	dm	dm	PROPN
bibechana-70637	229	17	2019	2019	NUM
bibechana-70637	229	18	,	,	PUNCT
bibechana-70637	229	19	2019	2019	NUM
bibechana-70637	229	20	.	.	PUNCT
bibechana-70637	230	1	[	[	X
bibechana-70637	230	2	32	32	NUM
bibechana-70637	230	3	]	]	X
bibechana-70637	230	4	d.	d.	PROPN
bibechana-70637	230	5	di	di	PROPN
bibechana-70637	230	6	giacomo	giacomo	PROPN
bibechana-70637	230	7	,	,	PUNCT
bibechana-70637	230	8	e.	e.	PROPN
bibechana-70637	230	9	robert	robert	PROPN
bibechana-70637	230	10	engdahl	engdahl	PROPN
bibechana-70637	230	11	,	,	PUNCT
bibechana-70637	230	12	and	and	CCONJ
bibechana-70637	230	13	d.	d.	PROPN
bibechana-70637	230	14	a.	a.	PROPN
bibechana-70637	230	15	storchak	storchak	PROPN
bibechana-70637	230	16	.	.	PUNCT
bibechana-70637	231	1	the	the	DET
bibechana-70637	231	2	isc	isc	PROPN
bibechana-70637	231	3	-	-	PUNCT
bibechana-70637	231	4	gem	gem	NOUN
bibechana-70637	231	5	earthquake	earthquake	NOUN
bibechana-70637	231	6	catalogue	catalogue	NOUN
bibechana-70637	231	7	(	(	PUNCT
bibechana-70637	231	8	1904	1904	NUM
bibechana-70637	231	9	-	-	SYM
bibechana-70637	231	10	2014	2014	NUM
bibechana-70637	231	11	):	):	PUNCT
bibechana-70637	231	12	status	status	NOUN
bibechana-70637	231	13	after	after	ADP
bibechana-70637	231	14	the	the	DET
bibechana-70637	231	15	extension	extension	NOUN
bibechana-70637	231	16	project	project	NOUN
bibechana-70637	231	17	.	.	PUNCT
bibechana-70637	232	1	earth	earth	NOUN
bibechana-70637	232	2	system	system	NOUN
bibechana-70637	232	3	science	science	NOUN
bibechana-70637	232	4	data	datum	NOUN
bibechana-70637	232	5	,	,	PUNCT
bibechana-70637	232	6	10(4):1877–1899	10(4):1877–1899	NUM
bibechana-70637	232	7	,	,	PUNCT
bibechana-70637	232	8	2018	2018	NUM
bibechana-70637	232	9	.	.	PUNCT
bibechana-70637	233	1	[	[	X
bibechana-70637	233	2	33	33	NUM
bibechana-70637	233	3	]	]	PUNCT
bibechana-70637	233	4	r.	r.	PROPN
bibechana-70637	233	5	jain	jain	PROPN
bibechana-70637	233	6	,	,	PUNCT
bibechana-70637	233	7	a.	a.	PROPN
bibechana-70637	233	8	nayyar	nayyar	PROPN
bibechana-70637	233	9	,	,	PUNCT
bibechana-70637	233	10	s.	s.	PROPN
bibechana-70637	233	11	arora	arora	PROPN
bibechana-70637	233	12	,	,	PUNCT
bibechana-70637	233	13	and	and	CCONJ
bibechana-70637	233	14	a.	a.	NOUN
bibechana-70637	233	15	gupta	gupta	PROPN
bibechana-70637	233	16	.	.	PUNCT
bibechana-70637	234	1	a	a	DET
bibechana-70637	234	2	comprehensive	comprehensive	ADJ
bibechana-70637	234	3	analysis	analysis	NOUN
bibechana-70637	234	4	and	and	CCONJ
bibechana-70637	234	5	prediction	prediction	NOUN
bibechana-70637	234	6	of	of	ADP
bibechana-70637	234	7	earthquake	earthquake	NOUN
bibechana-70637	234	8	magnitude	magnitude	NOUN
bibechana-70637	234	9	based	base	VERB
bibechana-70637	234	10	on	on	ADP
bibechana-70637	234	11	position	position	NOUN
bibechana-70637	234	12	and	and	CCONJ
bibechana-70637	234	13	depth	depth	NOUN
bibechana-70637	234	14	parameters	parameter	NOUN
bibechana-70637	234	15	using	use	VERB
bibechana-70637	234	16	machine	machine	NOUN
bibechana-70637	234	17	and	and	CCONJ
bibechana-70637	234	18	deep	deep	ADJ
bibechana-70637	234	19	learning	learning	NOUN
bibechana-70637	234	20	models	model	NOUN
bibechana-70637	234	21	.	.	PUNCT
bibechana-70637	235	1	multimedia	multimedia	NOUN
bibechana-70637	235	2	tools	tool	NOUN
bibechana-70637	235	3	and	and	CCONJ
bibechana-70637	235	4	applications	application	NOUN
bibechana-70637	235	5	,	,	PUNCT
bibechana-70637	235	6	80(18):28419–28438	80(18):28419–28438	NUM
bibechana-70637	235	7	,	,	PUNCT
bibechana-70637	235	8	2021	2021	NUM
bibechana-70637	235	9	.	.	PUNCT
bibechana-70637	236	1	[	[	X
bibechana-70637	236	2	34	34	NUM
bibechana-70637	236	3	]	]	X
bibechana-70637	236	4	c.	c.	PROPN
bibechana-70637	236	5	n.	n.	PROPN
bibechana-70637	236	6	schuba	schuba	PROPN
bibechana-70637	236	7	,	,	PUNCT
bibechana-70637	236	8	j.	j.	PROPN
bibechana-70637	236	9	p.	p.	PROPN
bibechana-70637	236	10	schuba	schuba	PROPN
bibechana-70637	236	11	,	,	PUNCT
bibechana-70637	236	12	g.	g.	PROPN
bibechana-70637	236	13	g.	g.	PROPN
bibechana-70637	236	14	gray	gray	PROPN
bibechana-70637	236	15	,	,	PUNCT
bibechana-70637	236	16	and	and	CCONJ
bibechana-70637	236	17	r.	r.	PROPN
bibechana-70637	236	18	g.	g.	PROPN
bibechana-70637	236	19	davy	davy	PROPN
bibechana-70637	236	20	.	.	PUNCT
bibechana-70637	237	1	interface	interface	NOUN
bibechana-70637	237	2	-	-	PUNCT
bibechana-70637	237	3	targeted	target	VERB
bibechana-70637	237	4	seismic	seismic	ADJ
bibechana-70637	237	5	velocity	velocity	NOUN
bibechana-70637	237	6	estimation	estimation	NOUN
bibechana-70637	237	7	using	use	VERB
bibechana-70637	237	8	machine	machine	NOUN
bibechana-70637	237	9	learning	learning	NOUN
bibechana-70637	237	10	.	.	PUNCT
bibechana-70637	238	1	geophysical	geophysical	ADJ
bibechana-70637	238	2	journal	journal	PROPN
bibechana-70637	238	3	international	international	ADJ
bibechana-70637	238	4	,	,	PUNCT
bibechana-70637	238	5	218(1):45–56	218(1):45–56	NUM
bibechana-70637	238	6	,	,	PUNCT
bibechana-70637	238	7	2019	2019	NUM
bibechana-70637	238	8	.	.	PUNCT
bibechana-70637	239	1	[	[	X
bibechana-70637	239	2	35	35	NUM
bibechana-70637	239	3	]	]	PUNCT
bibechana-70637	239	4	t.	t.	PROPN
bibechana-70637	239	5	y.	y.	PROPN
bibechana-70637	239	6	hsu	hsu	PROPN
bibechana-70637	239	7	and	and	CCONJ
bibechana-70637	239	8	a.	a.	NOUN
bibechana-70637	239	9	pratomo	pratomo	PROPN
bibechana-70637	239	10	.	.	PUNCT
bibechana-70637	240	1	early	early	ADJ
bibechana-70637	240	2	peak	peak	NOUN
bibechana-70637	240	3	ground	ground	NOUN
bibechana-70637	240	4	acceleration	acceleration	NOUN
bibechana-70637	240	5	prediction	prediction	NOUN
bibechana-70637	240	6	for	for	ADP
bibechana-70637	240	7	on	on	ADP
bibechana-70637	240	8	-	-	PUNCT
bibechana-70637	240	9	site	site	NOUN
bibechana-70637	240	10	earthquake	earthquake	NOUN
bibechana-70637	240	11	early	early	ADV
bibechana-70637	240	12	warning	warning	NOUN
bibechana-70637	240	13	using	use	VERB
bibechana-70637	240	14	lstm	lstm	ADJ
bibechana-70637	240	15	neural	neural	ADJ
bibechana-70637	240	16	network	network	NOUN
bibechana-70637	240	17	.	.	PUNCT
bibechana-70637	241	1	frontiers	frontier	NOUN
bibechana-70637	241	2	in	in	ADP
bibechana-70637	241	3	earth	earth	NOUN
bibechana-70637	241	4	science	science	NOUN
bibechana-70637	241	5	,	,	PUNCT
bibechana-70637	241	6	10(july):1–17	10(july):1–17	NUM
bibechana-70637	241	7	,	,	PUNCT
bibechana-70637	241	8	2022	2022	NUM
bibechana-70637	241	9	.	.	PUNCT
bibechana-70637	242	1	[	[	X
bibechana-70637	242	2	36	36	NUM
bibechana-70637	242	3	]	]	X
bibechana-70637	242	4	e.	e.	PROPN
bibechana-70637	242	5	harirchian	harirchian	PROPN
bibechana-70637	242	6	and	and	CCONJ
bibechana-70637	242	7	t.	t.	PROPN
bibechana-70637	242	8	lahmer	lahmer	PROPN
bibechana-70637	242	9	.	.	PUNCT
bibechana-70637	243	1	improved	improve	VERB
bibechana-70637	243	2	rapid	rapid	ADJ
bibechana-70637	243	3	assessment	assessment	NOUN
bibechana-70637	243	4	of	of	ADP
bibechana-70637	243	5	earthquake	earthquake	NOUN
bibechana-70637	243	6	hazard	hazard	NOUN
bibechana-70637	243	7	safety	safety	NOUN
bibechana-70637	243	8	of	of	ADP
bibechana-70637	243	9	structures	structure	NOUN
bibechana-70637	243	10	via	via	ADP
bibechana-70637	243	11	artificial	artificial	ADJ
bibechana-70637	243	12	neural	neural	ADJ
bibechana-70637	243	13	networks	network	NOUN
bibechana-70637	243	14	.	.	PUNCT
bibechana-70637	244	1	in	in	ADP
bibechana-70637	244	2	iop	iop	PROPN
bibechana-70637	244	3	conference	conference	NOUN
bibechana-70637	244	4	series	series	NOUN
bibechana-70637	244	5	:	:	PUNCT
bibechana-70637	244	6	materials	material	NOUN
bibechana-70637	244	7	science	science	NOUN
bibechana-70637	244	8	and	and	CCONJ
bibechana-70637	244	9	engineering	engineering	NOUN
bibechana-70637	244	10	,	,	PUNCT
bibechana-70637	244	11	volume	volume	NOUN
bibechana-70637	244	12	897	897	NUM
bibechana-70637	244	13	,	,	PUNCT
bibechana-70637	244	14	2020	2020	NUM
bibechana-70637	244	15	.	.	PUNCT
bibechana-70637	245	1	[	[	X
bibechana-70637	245	2	37	37	NUM
bibechana-70637	245	3	]	]	X
bibechana-70637	245	4	b.	b.	PROPN
bibechana-70637	245	5	nadi	nadi	PROPN
bibechana-70637	245	6	,	,	PUNCT
bibechana-70637	245	7	f.	f.	PROPN
bibechana-70637	245	8	askari	askari	PROPN
bibechana-70637	245	9	,	,	PUNCT
bibechana-70637	245	10	o.	o.	PROPN
bibechana-70637	245	11	farzaneh	farzaneh	PROPN
bibechana-70637	245	12	,	,	PUNCT
bibechana-70637	245	13	s.	s.	PROPN
bibechana-70637	245	14	fatolahzadeh	fatolahzadeh	PROPN
bibechana-70637	245	15	,	,	PUNCT
bibechana-70637	245	16	and	and	CCONJ
bibechana-70637	245	17	r.	r.	PROPN
bibechana-70637	245	18	mehdizadeh	mehdizadeh	PROPN
bibechana-70637	245	19	.	.	PUNCT
bibechana-70637	246	1	reliability	reliability	NOUN
bibechana-70637	246	2	evaluation	evaluation	NOUN
bibechana-70637	246	3	of	of	ADP
bibechana-70637	246	4	regression	regression	NOUN
bibechana-70637	246	5	model	model	NOUN
bibechana-70637	246	6	for	for	ADP
bibechana-70637	246	7	estimating	estimate	VERB
bibechana-70637	246	8	coseismic	coseismic	ADJ
bibechana-70637	246	9	landslide	landslide	NOUN
bibechana-70637	246	10	displacement	displacement	NOUN
bibechana-70637	246	11	.	.	PUNCT
bibechana-70637	247	1	iranian	iranian	ADJ
bibechana-70637	247	2	journal	journal	PROPN
bibechana-70637	247	3	of	of	ADP
bibechana-70637	247	4	science	science	NOUN
bibechana-70637	247	5	and	and	CCONJ
bibechana-70637	247	6	technology	technology	NOUN
bibechana-70637	247	7	transactions	transaction	NOUN
bibechana-70637	247	8	of	of	ADP
bibechana-70637	247	9	civil	civil	ADJ
bibechana-70637	247	10	engineering	engineering	NOUN
bibechana-70637	247	11	,	,	PUNCT
bibechana-70637	247	12	44(1):165–173	44(1):165–173	PROPN
bibechana-70637	247	13	,	,	PUNCT
bibechana-70637	247	14	2020	2020	NUM
bibechana-70637	247	15	.	.	PUNCT
bibechana-70637	248	1	introduction	introduction	NOUN
bibechana-70637	248	2	random	random	ADJ
bibechana-70637	248	3	forest	forest	NOUN
bibechana-70637	248	4	support	support	NOUN
bibechana-70637	248	5	vector	vector	NOUN
bibechana-70637	248	6	regression	regression	NOUN
bibechana-70637	248	7	multi	multi	ADJ
bibechana-70637	248	8	-	-	ADJ
bibechana-70637	248	9	layer	layer	ADJ
bibechana-70637	248	10	perceptron	perceptron	PROPN
bibechana-70637	248	11	regression	regression	PROPN
bibechana-70637	248	12	data	datum	NOUN
bibechana-70637	248	13	and	and	CCONJ
bibechana-70637	248	14	methodology	methodology	NOUN
bibechana-70637	248	15	results	result	NOUN
bibechana-70637	248	16	and	and	CCONJ
bibechana-70637	248	17	discussion	discussion	NOUN
bibechana-70637	248	18	performance	performance	NOUN
bibechana-70637	248	19	evaluation	evaluation	NOUN
bibechana-70637	248	20	conclusion	conclusion	NOUN