id	sid	tid	token	lemma	pos
cana-2870	1	1	communications	communication	NOUN
cana-2870	1	2	on	on	ADP
cana-2870	1	3	applied	apply	VERB
cana-2870	1	4	nonlinear	nonlinear	ADJ
cana-2870	1	5	analysis	analysis	NOUN
cana-2870	1	6	issn	issn	NOUN
cana-2870	1	7	:	:	PUNCT
cana-2870	1	8	1074	1074	NUM
cana-2870	1	9	-	-	PUNCT
cana-2870	1	10	133x	133x	NUM
cana-2870	1	11	vol	vol	NOUN
cana-2870	1	12	32	32	NUM
cana-2870	1	13	no	no	NOUN
cana-2870	1	14	.	.	PUNCT
cana-2870	2	1	4s	4s	NUM
cana-2870	2	2	(	(	PUNCT
cana-2870	2	3	2025	2025	NUM
cana-2870	2	4	)	)	PUNCT
cana-2870	2	5	537	537	NUM
cana-2870	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	2	7	cryptocurrency	cryptocurrency	NOUN
cana-2870	2	8	price	price	NOUN
cana-2870	2	9	prediction	prediction	NOUN
cana-2870	2	10	using	use	VERB
cana-2870	2	11	deep	deep	ADJ
cana-2870	2	12	learning	learning	NOUN
cana-2870	2	13	algorithms	algorithm	NOUN
cana-2870	2	14	:	:	PUNCT
cana-2870	2	15	a	a	DET
cana-2870	2	16	comparative	comparative	ADJ
cana-2870	2	17	study	study	NOUN
cana-2870	2	18	pappula	pappula	VERB
cana-2870	2	19	ashok1	ashok1	PROPN
cana-2870	2	20	*	*	PROPN
cana-2870	2	21	,	,	PUNCT
cana-2870	2	22	d.	d.	PROPN
cana-2870	2	23	mallikarjuna	mallikarjuna	PROPN
cana-2870	2	24	reddy2	reddy2	PROPN
cana-2870	2	25	,	,	PUNCT
cana-2870	2	26	ameen	ameen	PROPN
cana-2870	2	27	saheb	saheb	PROPN
cana-2870	2	28	shaik3	shaik3	PROPN
cana-2870	3	1	1,3assistant	1,3assistant	NUM
cana-2870	3	2	professor	professor	NOUN
cana-2870	3	3	,	,	PUNCT
cana-2870	3	4	department	department	NOUN
cana-2870	3	5	of	of	ADP
cana-2870	3	6	mathematics	mathematics	PROPN
cana-2870	3	7	,	,	PUNCT
cana-2870	3	8	anurag	anurag	PROPN
cana-2870	3	9	university	university	PROPN
cana-2870	3	10	,	,	PUNCT
cana-2870	3	11	hyderabad-500088	hyderabad-500088	NOUN
cana-2870	3	12	,	,	PUNCT
cana-2870	3	13	telangana	telangana	PROPN
cana-2870	3	14	,	,	PUNCT
cana-2870	3	15	india	india	PROPN
cana-2870	3	16	.	.	PUNCT
cana-2870	4	1	2assosciate	2assosciate	NUM
cana-2870	4	2	professor	professor	NOUN
cana-2870	4	3	,	,	PUNCT
cana-2870	4	4	department	department	NOUN
cana-2870	4	5	of	of	ADP
cana-2870	4	6	mathematics	mathematics	PROPN
cana-2870	4	7	,	,	PUNCT
cana-2870	4	8	gitam	gitam	NOUN
cana-2870	4	9	university	university	NOUN
cana-2870	4	10	,	,	PUNCT
cana-2870	4	11	hyderabad502329	hyderabad502329	PROPN
cana-2870	4	12	,	,	PUNCT
cana-2870	4	13	telangana	telangana	PROPN
cana-2870	4	14	,	,	PUNCT
cana-2870	4	15	india	india	PROPN
cana-2870	4	16	.	.	PUNCT
cana-2870	5	1	*	*	PUNCT
cana-2870	5	2	ashokhs@anurag.edu.in	ashokhs@anurag.edu.in	ADV
cana-2870	5	3	,	,	PUNCT
cana-2870	5	4	drmallikreddyd@gmail.com	drmallikreddyd@gmail.com	X
cana-2870	5	5	,	,	PUNCT
cana-2870	5	6	ameen.maths@anurag.edu.in	ameen.maths@anurag.edu.in	ADV
cana-2870	5	7	article	article	NOUN
cana-2870	5	8	history	history	NOUN
cana-2870	5	9	:	:	PUNCT
cana-2870	5	10	received	receive	VERB
cana-2870	5	11	:	:	PUNCT
cana-2870	5	12	30	30	NUM
cana-2870	5	13	-	-	SYM
cana-2870	5	14	09	09	NUM
cana-2870	5	15	-	-	PUNCT
cana-2870	5	16	2024	2024	NUM
cana-2870	5	17	revised	revise	VERB
cana-2870	5	18	:	:	PUNCT
cana-2870	5	19	28	28	NUM
cana-2870	5	20	-	-	SYM
cana-2870	5	21	11	11	NUM
cana-2870	5	22	-	-	PUNCT
cana-2870	5	23	2024	2024	NUM
cana-2870	5	24	accepted	accept	VERB
cana-2870	5	25	:	:	PUNCT
cana-2870	5	26	09	09	NUM
cana-2870	5	27	-	-	SYM
cana-2870	5	28	12	12	NUM
cana-2870	5	29	-	-	PUNCT
cana-2870	5	30	2024	2024	NUM
cana-2870	5	31	abstract	abstract	NOUN
cana-2870	5	32	:	:	PUNCT
cana-2870	5	33	introduction	introduction	NOUN
cana-2870	5	34	:	:	PUNCT
cana-2870	5	35	due	due	ADP
cana-2870	5	36	to	to	ADP
cana-2870	5	37	financial	financial	ADJ
cana-2870	5	38	technology	technology	NOUN
cana-2870	5	39	advances	advance	NOUN
cana-2870	5	40	,	,	PUNCT
cana-2870	5	41	cryptocurrency	cryptocurrency	NOUN
cana-2870	5	42	is	be	AUX
cana-2870	5	43	a	a	DET
cana-2870	5	44	new	new	ADJ
cana-2870	5	45	asset	asset	NOUN
cana-2870	5	46	with	with	ADP
cana-2870	5	47	great	great	ADJ
cana-2870	5	48	potential	potential	NOUN
cana-2870	5	49	for	for	ADP
cana-2870	5	50	academics	academic	NOUN
cana-2870	5	51	.	.	PUNCT
cana-2870	6	1	price	price	NOUN
cana-2870	6	2	volatility	volatility	NOUN
cana-2870	6	3	and	and	CCONJ
cana-2870	6	4	dynamism	dynamism	NOUN
cana-2870	6	5	make	make	VERB
cana-2870	6	6	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	6	7	prediction	prediction	NOUN
cana-2870	6	8	difficult	difficult	ADJ
cana-2870	6	9	.	.	PUNCT
cana-2870	7	1	objectives	objective	NOUN
cana-2870	7	2	:	:	PUNCT
cana-2870	7	3	this	this	DET
cana-2870	7	4	paper	paper	NOUN
cana-2870	7	5	presents	present	VERB
cana-2870	7	6	three	three	NUM
cana-2870	7	7	recurrent	recurrent	ADJ
cana-2870	7	8	neural	neural	ADJ
cana-2870	7	9	network	network	NOUN
cana-2870	7	10	(	(	PUNCT
cana-2870	7	11	rnn	rnn	PROPN
cana-2870	7	12	)	)	PUNCT
cana-2870	7	13	methods	method	NOUN
cana-2870	7	14	for	for	ADP
cana-2870	7	15	predict	predict	VERB
cana-2870	7	16	bitcoin	bitcoin	PROPN
cana-2870	7	17	(	(	PUNCT
cana-2870	7	18	btc	btc	PROPN
cana-2870	7	19	)	)	PUNCT
cana-2870	7	20	,	,	PUNCT
cana-2870	7	21	ethereum	ethereum	NOUN
cana-2870	7	22	(	(	PUNCT
cana-2870	7	23	eth	eth	NOUN
cana-2870	7	24	)	)	PUNCT
cana-2870	7	25	,	,	PUNCT
cana-2870	7	26	and	and	CCONJ
cana-2870	7	27	binance	binance	VERB
cana-2870	7	28	coin	coin	NOUN
cana-2870	7	29	(	(	PUNCT
cana-2870	7	30	bnb	bnb	NOUN
cana-2870	7	31	)	)	PUNCT
cana-2870	7	32	prices	price	NOUN
cana-2870	7	33	to	to	PART
cana-2870	7	34	predict	predict	VERB
cana-2870	7	35	the	the	DET
cana-2870	7	36	price	price	NOUN
cana-2870	7	37	of	of	ADP
cana-2870	7	38	cryptocurrency	cryptocurrency	NOUN
cana-2870	7	39	.	.	PUNCT
cana-2870	8	1	methods	method	NOUN
cana-2870	8	2	:	:	PUNCT
cana-2870	8	3	this	this	DET
cana-2870	8	4	study	study	NOUN
cana-2870	8	5	uses	use	VERB
cana-2870	8	6	three	three	NUM
cana-2870	8	7	rnn	rnn	NOUN
cana-2870	8	8	algorithms	algorithms	ADP
cana-2870	8	9	lstm	lstm	PROPN
cana-2870	8	10	,	,	PUNCT
cana-2870	8	11	bi	bi	NOUN
cana-2870	8	12	-	-	ADJ
cana-2870	8	13	lstm	lstm	ADJ
cana-2870	8	14	,	,	PUNCT
cana-2870	8	15	and	and	CCONJ
cana-2870	8	16	gru	gru	VERB
cana-2870	8	17	to	to	PART
cana-2870	8	18	predict	predict	VERB
cana-2870	8	19	the	the	DET
cana-2870	8	20	prices	price	NOUN
cana-2870	8	21	of	of	ADP
cana-2870	8	22	bitcoin	bitcoin	PROPN
cana-2870	8	23	(	(	PUNCT
cana-2870	8	24	btc	btc	PROPN
cana-2870	8	25	)	)	PUNCT
cana-2870	8	26	,	,	PUNCT
cana-2870	8	27	binance	binance	NOUN
cana-2870	8	28	coin	coin	NOUN
cana-2870	8	29	(	(	PUNCT
cana-2870	8	30	bnb	bnb	NOUN
cana-2870	8	31	)	)	PUNCT
cana-2870	8	32	,	,	PUNCT
cana-2870	8	33	and	and	CCONJ
cana-2870	8	34	ethereum	ethereum	NOUN
cana-2870	8	35	.	.	PUNCT
cana-2870	9	1	(	(	PUNCT
cana-2870	9	2	eth	eth	NOUN
cana-2870	9	3	)	)	PUNCT
cana-2870	9	4	results	result	NOUN
cana-2870	9	5	:	:	PUNCT
cana-2870	9	6	btc	btc	NOUN
cana-2870	9	7	,	,	PUNCT
cana-2870	9	8	eth	eth	NOUN
cana-2870	9	9	,	,	PUNCT
cana-2870	9	10	and	and	CCONJ
cana-2870	9	11	bnb	bnb	NOUN
cana-2870	9	12	prices	price	NOUN
cana-2870	9	13	are	be	AUX
cana-2870	9	14	predicted	predict	VERB
cana-2870	9	15	using	use	VERB
cana-2870	9	16	three	three	NUM
cana-2870	9	17	machine	machine	NOUN
cana-2870	9	18	learning	learn	VERB
cana-2870	9	19	algorithms	algorithm	NOUN
cana-2870	9	20	.	.	PUNCT
cana-2870	10	1	the	the	DET
cana-2870	10	2	model	model	NOUN
cana-2870	10	3	's	's	PART
cana-2870	10	4	accuracy	accuracy	NOUN
cana-2870	10	5	was	be	AUX
cana-2870	10	6	assessed	assess	VERB
cana-2870	10	7	using	use	VERB
cana-2870	10	8	performance	performance	NOUN
cana-2870	10	9	metrics	metric	NOUN
cana-2870	10	10	.	.	PUNCT
cana-2870	11	1	we	we	PRON
cana-2870	11	2	followed	follow	VERB
cana-2870	11	3	by	by	ADP
cana-2870	11	4	comparing	compare	VERB
cana-2870	11	5	actual	actual	ADJ
cana-2870	11	6	and	and	CCONJ
cana-2870	11	7	predicted	predict	VERB
cana-2870	11	8	prices	price	NOUN
cana-2870	11	9	of	of	ADP
cana-2870	11	10	models	model	NOUN
cana-2870	11	11	.	.	PUNCT
cana-2870	12	1	the	the	DET
cana-2870	12	2	gru	gru	PROPN
cana-2870	12	3	algorithm	algorithm	PROPN
cana-2870	12	4	surpassed	surpass	VERB
cana-2870	12	5	its	its	PRON
cana-2870	12	6	competitors	competitor	NOUN
cana-2870	12	7	,	,	PUNCT
cana-2870	12	8	attaining	attain	VERB
cana-2870	12	9	mape	mape	NOUN
cana-2870	12	10	values	value	NOUN
cana-2870	12	11	of	of	ADP
cana-2870	12	12	2.562795642	2.562795642	NUM
cana-2870	12	13	for	for	ADP
cana-2870	12	14	bnb	bnb	NOUN
cana-2870	12	15	,	,	PUNCT
cana-2870	12	16	2.921155091	2.921155091	NUM
cana-2870	12	17	for	for	ADP
cana-2870	12	18	eth	eth	NOUN
cana-2870	12	19	,	,	PUNCT
cana-2870	12	20	and	and	CCONJ
cana-2870	12	21	3.363400599	3.363400599	NUM
cana-2870	12	22	for	for	ADP
cana-2870	12	23	btc	btc	NOUN
cana-2870	12	24	.	.	PUNCT
cana-2870	13	1	conclusion	conclusion	NOUN
cana-2870	13	2	:	:	PUNCT
cana-2870	13	3	the	the	DET
cana-2870	13	4	value	value	NOUN
cana-2870	13	5	of	of	ADP
cana-2870	13	6	cryptocurrency	cryptocurrency	NOUN
cana-2870	13	7	swings	swing	NOUN
cana-2870	13	8	regularly	regularly	ADV
cana-2870	13	9	.	.	PUNCT
cana-2870	14	1	since	since	SCONJ
cana-2870	14	2	the	the	DET
cana-2870	14	3	cryptocurrency	cryptocurrency	NOUN
cana-2870	14	4	market	market	NOUN
cana-2870	14	5	is	be	AUX
cana-2870	14	6	nonlinear	nonlinear	ADJ
cana-2870	14	7	,	,	PUNCT
cana-2870	14	8	time	time	NOUN
cana-2870	14	9	series	series	PROPN
cana-2870	14	10	data	data	PROPN
cana-2870	14	11	is	be	AUX
cana-2870	14	12	challenging	challenge	VERB
cana-2870	14	13	to	to	PART
cana-2870	14	14	evaluate	evaluate	VERB
cana-2870	14	15	when	when	SCONJ
cana-2870	14	16	making	make	VERB
cana-2870	14	17	price	price	NOUN
cana-2870	14	18	predictions	prediction	NOUN
cana-2870	14	19	.	.	PUNCT
cana-2870	15	1	machine	machine	NOUN
cana-2870	15	2	learning	learn	VERB
cana-2870	15	3	algorithms	algorithm	NOUN
cana-2870	15	4	are	be	AUX
cana-2870	15	5	used	use	VERB
cana-2870	15	6	in	in	ADP
cana-2870	15	7	many	many	ADJ
cana-2870	15	8	financial	financial	ADJ
cana-2870	15	9	and	and	CCONJ
cana-2870	15	10	economic	economic	ADJ
cana-2870	15	11	activities	activity	NOUN
cana-2870	15	12	.	.	PUNCT
cana-2870	16	1	investors	investor	NOUN
cana-2870	16	2	,	,	PUNCT
cana-2870	16	3	researchers	researcher	NOUN
cana-2870	16	4	,	,	PUNCT
cana-2870	16	5	and	and	CCONJ
cana-2870	16	6	professionals	professional	NOUN
cana-2870	16	7	need	need	VERB
cana-2870	16	8	cryptocurrency	cryptocurrency	NOUN
cana-2870	16	9	value	value	NOUN
cana-2870	16	10	forecasts	forecast	NOUN
cana-2870	16	11	.	.	PUNCT
cana-2870	17	1	in	in	ADP
cana-2870	17	2	this	this	DET
cana-2870	17	3	study	study	NOUN
cana-2870	17	4	,	,	PUNCT
cana-2870	17	5	gru	gru	PROPN
cana-2870	17	6	outperformed	outperform	VERB
cana-2870	17	7	than	than	ADP
cana-2870	17	8	lstm	lstm	NOUN
cana-2870	17	9	and	and	CCONJ
cana-2870	17	10	bi	bi	ADJ
cana-2870	17	11	-	-	ADJ
cana-2870	17	12	lstm	lstm	ADJ
cana-2870	17	13	algorithms	algorithm	NOUN
cana-2870	17	14	in	in	ADP
cana-2870	17	15	predicting	predict	VERB
cana-2870	17	16	prices	price	NOUN
cana-2870	17	17	of	of	ADP
cana-2870	17	18	btc	btc	NOUN
cana-2870	17	19	,	,	PUNCT
cana-2870	17	20	eth	eth	NOUN
cana-2870	17	21	and	and	CCONJ
cana-2870	17	22	bnb	bnb	NOUN
cana-2870	17	23	.	.	PUNCT
cana-2870	18	1	keywords	keyword	NOUN
cana-2870	18	2	:	:	PUNCT
cana-2870	18	3	cryptocurrency	cryptocurrency	NOUN
cana-2870	18	4	;	;	PUNCT
cana-2870	18	5	lstm	lstm	ADJ
cana-2870	18	6	,	,	PUNCT
cana-2870	18	7	bi	bi	ADJ
cana-2870	18	8	-	-	ADJ
cana-2870	18	9	lstm	lstm	PROPN
cana-2870	18	10	gru	gru	PROPN
cana-2870	18	11	,	,	PUNCT
cana-2870	18	12	btc	btc	PROPN
cana-2870	18	13	,	,	PUNCT
cana-2870	18	14	eth	eth	NOUN
cana-2870	18	15	,	,	PUNCT
cana-2870	18	16	bnb	bnb	NOUN
cana-2870	18	17	1	1	PROPN
cana-2870	18	18	.	.	PUNCT
cana-2870	19	1	introduction	introduction	NOUN
cana-2870	19	2	the	the	DET
cana-2870	19	3	monetary	monetary	ADJ
cana-2870	19	4	system	system	NOUN
cana-2870	19	5	relies	rely	VERB
cana-2870	19	6	on	on	ADP
cana-2870	19	7	fiat	fiat	ADJ
cana-2870	19	8	cash	cash	NOUN
cana-2870	19	9	,	,	PUNCT
cana-2870	19	10	which	which	PRON
cana-2870	19	11	is	be	AUX
cana-2870	19	12	divisible	divisible	ADJ
cana-2870	19	13	,	,	PUNCT
cana-2870	19	14	transferable	transferable	ADJ
cana-2870	19	15	,	,	PUNCT
cana-2870	19	16	durable	durable	ADJ
cana-2870	19	17	,	,	PUNCT
cana-2870	19	18	and	and	CCONJ
cana-2870	19	19	scarce	scarce	ADJ
cana-2870	20	1	[	[	X
cana-2870	20	2	1	1	NUM
cana-2870	20	3	]	]	PUNCT
cana-2870	20	4	.	.	PUNCT
cana-2870	21	1	the	the	DET
cana-2870	21	2	lack	lack	NOUN
cana-2870	21	3	of	of	ADP
cana-2870	21	4	a	a	DET
cana-2870	21	5	physical	physical	ADJ
cana-2870	21	6	currency	currency	NOUN
cana-2870	21	7	underpinning	underpinning	NOUN
cana-2870	21	8	can	can	AUX
cana-2870	21	9	lead	lead	VERB
cana-2870	21	10	to	to	ADP
cana-2870	21	11	hyperinflation	hyperinflation	NOUN
cana-2870	21	12	and	and	CCONJ
cana-2870	21	13	wealth	wealth	NOUN
cana-2870	21	14	disparity	disparity	NOUN
cana-2870	22	1	[	[	X
cana-2870	22	2	2	2	NUM
cana-2870	22	3	]	]	PUNCT
cana-2870	22	4	.	.	PUNCT
cana-2870	23	1	transactions	transaction	NOUN
cana-2870	23	2	are	be	AUX
cana-2870	23	3	generally	generally	ADV
cana-2870	23	4	processed	process	VERB
cana-2870	23	5	through	through	ADP
cana-2870	23	6	intermediaries	intermediary	NOUN
cana-2870	23	7	like	like	ADP
cana-2870	23	8	financial	financial	ADJ
cana-2870	23	9	institutions	institution	NOUN
cana-2870	23	10	and	and	CCONJ
cana-2870	23	11	credit	credit	NOUN
cana-2870	23	12	card	card	NOUN
cana-2870	23	13	firms	firm	NOUN
cana-2870	23	14	,	,	PUNCT
cana-2870	23	15	which	which	PRON
cana-2870	23	16	increases	increase	VERB
cana-2870	23	17	prices	price	NOUN
cana-2870	23	18	and	and	CCONJ
cana-2870	23	19	transfer	transfer	NOUN
cana-2870	23	20	times	time	NOUN
cana-2870	23	21	.	.	PUNCT
cana-2870	24	1	current	current	ADJ
cana-2870	24	2	ledgers	ledger	NOUN
cana-2870	24	3	are	be	AUX
cana-2870	24	4	vulnerable	vulnerable	ADJ
cana-2870	24	5	to	to	ADP
cana-2870	24	6	manipulation	manipulation	NOUN
cana-2870	24	7	and	and	CCONJ
cana-2870	24	8	breaches	breach	NOUN
cana-2870	24	9	.	.	PUNCT
cana-2870	25	1	individual	individual	ADJ
cana-2870	25	2	data	datum	NOUN
cana-2870	25	3	ownership	ownership	NOUN
cana-2870	25	4	may	may	AUX
cana-2870	25	5	be	be	AUX
cana-2870	25	6	lost	lose	VERB
cana-2870	25	7	.	.	PUNCT
cana-2870	26	1	the	the	DET
cana-2870	26	2	public	public	NOUN
cana-2870	26	3	trusts	trust	VERB
cana-2870	26	4	the	the	DET
cana-2870	26	5	present	present	ADJ
cana-2870	26	6	financial	financial	ADJ
cana-2870	26	7	system	system	NOUN
cana-2870	26	8	despite	despite	SCONJ
cana-2870	26	9	these	these	DET
cana-2870	26	10	restrictions	restriction	NOUN
cana-2870	26	11	because	because	SCONJ
cana-2870	26	12	of	of	ADP
cana-2870	26	13	government	government	NOUN
cana-2870	26	14	rules	rule	NOUN
cana-2870	26	15	and	and	CCONJ
cana-2870	26	16	legal	legal	ADJ
cana-2870	26	17	contracts	contract	NOUN
cana-2870	26	18	.	.	PUNCT
cana-2870	27	1	trust	trust	NOUN
cana-2870	27	2	breaches	breach	NOUN
cana-2870	27	3	,	,	PUNCT
cana-2870	27	4	like	like	ADP
cana-2870	27	5	the	the	DET
cana-2870	27	6	1990s	1990	NOUN
cana-2870	27	7	dotcom	dotcom	NOUN
cana-2870	27	8	and	and	CCONJ
cana-2870	27	9	2008	2008	NUM
cana-2870	27	10	real	real	ADJ
cana-2870	27	11	estate	estate	NOUN
cana-2870	27	12	booms	boom	NOUN
cana-2870	27	13	,	,	PUNCT
cana-2870	27	14	have	have	AUX
cana-2870	27	15	caused	cause	VERB
cana-2870	27	16	huge	huge	ADJ
cana-2870	27	17	financial	financial	ADJ
cana-2870	27	18	losses	loss	NOUN
cana-2870	27	19	[	[	X
cana-2870	27	20	3	3	NUM
cana-2870	27	21	]	]	PUNCT
cana-2870	27	22	.	.	PUNCT
cana-2870	28	1	creating	create	VERB
cana-2870	28	2	a	a	DET
cana-2870	28	3	new	new	ADJ
cana-2870	28	4	framework	framework	NOUN
cana-2870	28	5	that	that	PRON
cana-2870	28	6	fosters	foster	VERB
cana-2870	28	7	confidence	confidence	NOUN
cana-2870	28	8	among	among	ADP
cana-2870	28	9	financial	financial	ADJ
cana-2870	28	10	system	system	NOUN
cana-2870	28	11	players	player	NOUN
cana-2870	28	12	is	be	AUX
cana-2870	28	13	crucial	crucial	ADJ
cana-2870	28	14	.	.	PUNCT
cana-2870	29	1	in	in	ADP
cana-2870	29	2	october	october	PROPN
cana-2870	29	3	2008	2008	NUM
cana-2870	29	4	,	,	PUNCT
cana-2870	29	5	satoshi	satoshi	PROPN
cana-2870	29	6	nakamoto	nakamoto	PROPN
cana-2870	29	7	released	release	VERB
cana-2870	29	8	blockchain	blockchain	PROPN
cana-2870	29	9	technology	technology	PROPN
cana-2870	29	10	and	and	CCONJ
cana-2870	29	11	the	the	DET
cana-2870	29	12	first	first	ADJ
cana-2870	29	13	digital	digital	ADJ
cana-2870	29	14	currency	currency	NOUN
cana-2870	29	15	btc.[4	btc.[4	NOUN
cana-2870	29	16	]	]	PUNCT
cana-2870	29	17	.	.	PUNCT
cana-2870	30	1	this	this	DET
cana-2870	30	2	system	system	NOUN
cana-2870	30	3	enables	enable	VERB
cana-2870	30	4	direct	direct	ADJ
cana-2870	30	5	monetary	monetary	ADJ
cana-2870	30	6	transactions	transaction	NOUN
cana-2870	30	7	between	between	ADP
cana-2870	30	8	peers	peer	NOUN
cana-2870	30	9	via	via	ADP
cana-2870	30	10	the	the	DET
cana-2870	30	11	public	public	ADJ
cana-2870	30	12	internet	internet	NOUN
cana-2870	30	13	without	without	ADP
cana-2870	30	14	the	the	DET
cana-2870	30	15	involvement	involvement	NOUN
cana-2870	30	16	of	of	ADP
cana-2870	30	17	middlemen	middleman	NOUN
cana-2870	30	18	.	.	PUNCT
cana-2870	31	1	it	it	PRON
cana-2870	31	2	has	have	AUX
cana-2870	31	3	become	become	VERB
cana-2870	31	4	a	a	DET
cana-2870	31	5	significant	significant	ADJ
cana-2870	31	6	asset	asset	NOUN
cana-2870	31	7	in	in	ADP
cana-2870	31	8	the	the	DET
cana-2870	31	9	global	global	ADJ
cana-2870	31	10	market	market	NOUN
cana-2870	31	11	[	[	X
cana-2870	31	12	5	5	NUM
cana-2870	31	13	]	]	PUNCT
cana-2870	31	14	.	.	PUNCT
cana-2870	32	1	universities	university	NOUN
cana-2870	32	2	,	,	PUNCT
cana-2870	32	3	government	government	NOUN
cana-2870	32	4	organizations	organization	NOUN
cana-2870	32	5	,	,	PUNCT
cana-2870	32	6	media	medium	NOUN
cana-2870	32	7	,	,	PUNCT
cana-2870	32	8	and	and	CCONJ
cana-2870	32	9	the	the	DET
cana-2870	32	10	public	public	NOUN
cana-2870	32	11	are	be	AUX
cana-2870	32	12	studying	study	VERB
cana-2870	32	13	it	it	PRON
cana-2870	32	14	.	.	PUNCT
cana-2870	33	1	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	33	2	employ	employ	VERB
cana-2870	33	3	cryptography	cryptography	NOUN
cana-2870	33	4	to	to	PART
cana-2870	33	5	secure	secure	VERB
cana-2870	33	6	transactions	transaction	NOUN
cana-2870	33	7	and	and	CCONJ
cana-2870	33	8	mailto:ashokhs@anurag.edu.in	mailto:ashokhs@anurag.edu.in	NOUN
cana-2870	33	9	mailto:drmallikreddyd@gmail.com	mailto:drmallikreddyd@gmail.com	PROPN
cana-2870	33	10	communications	communication	NOUN
cana-2870	33	11	on	on	ADP
cana-2870	33	12	applied	apply	VERB
cana-2870	33	13	nonlinear	nonlinear	ADJ
cana-2870	33	14	analysis	analysis	NOUN
cana-2870	33	15	issn	issn	NOUN
cana-2870	33	16	:	:	PUNCT
cana-2870	33	17	1074	1074	NUM
cana-2870	33	18	-	-	PUNCT
cana-2870	33	19	133x	133x	NUM
cana-2870	33	20	vol	vol	NOUN
cana-2870	33	21	32	32	NUM
cana-2870	33	22	no	no	NOUN
cana-2870	33	23	.	.	PUNCT
cana-2870	34	1	4s	4s	NUM
cana-2870	34	2	(	(	PUNCT
cana-2870	34	3	2025	2025	NUM
cana-2870	34	4	)	)	PUNCT
cana-2870	34	5	538	538	NUM
cana-2870	34	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	34	7	prevent	prevent	VERB
cana-2870	34	8	counterfeiting	counterfeiting	NOUN
cana-2870	35	1	[	[	X
cana-2870	35	2	6	6	NUM
cana-2870	35	3	]	]	PUNCT
cana-2870	35	4	.	.	PUNCT
cana-2870	36	1	because	because	SCONJ
cana-2870	36	2	they	they	PRON
cana-2870	36	3	are	be	AUX
cana-2870	36	4	not	not	PART
cana-2870	36	5	issued	issue	VERB
cana-2870	36	6	by	by	ADP
cana-2870	36	7	a	a	DET
cana-2870	36	8	central	central	ADJ
cana-2870	36	9	body	body	NOUN
cana-2870	36	10	,	,	PUNCT
cana-2870	36	11	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	36	12	are	be	AUX
cana-2870	36	13	independent	independent	ADJ
cana-2870	36	14	of	of	ADP
cana-2870	36	15	banks	bank	NOUN
cana-2870	36	16	and	and	CCONJ
cana-2870	36	17	centralized	centralized	ADJ
cana-2870	36	18	currencies	currency	NOUN
cana-2870	36	19	.	.	PUNCT
cana-2870	37	1	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	37	2	have	have	VERB
cana-2870	37	3	all	all	DET
cana-2870	37	4	blockchain	blockchain	NOUN
cana-2870	37	5	properties	property	NOUN
cana-2870	37	6	because	because	SCONJ
cana-2870	37	7	the	the	DET
cana-2870	37	8	blockchain	blockchain	PROPN
cana-2870	37	9	is	be	AUX
cana-2870	37	10	crucial	crucial	ADJ
cana-2870	37	11	.	.	PUNCT
cana-2870	38	1	btc	btc	NOUN
cana-2870	38	2	allows	allow	VERB
cana-2870	38	3	safe	safe	ADJ
cana-2870	38	4	pseudo	pseudo	ADJ
cana-2870	38	5	-	-	ADJ
cana-2870	38	6	anonymous	anonymous	ADJ
cana-2870	38	7	digital	digital	ADJ
cana-2870	38	8	transactions	transaction	NOUN
cana-2870	38	9	,	,	PUNCT
cana-2870	38	10	making	make	VERB
cana-2870	38	11	it	it	PRON
cana-2870	38	12	easier	easy	ADJ
cana-2870	38	13	to	to	PART
cana-2870	38	14	identify	identify	VERB
cana-2870	38	15	the	the	DET
cana-2870	38	16	sender	sender	NOUN
cana-2870	38	17	and	and	CCONJ
cana-2870	38	18	receiver	receiver	NOUN
cana-2870	38	19	.	.	PUNCT
cana-2870	39	1	governments	government	NOUN
cana-2870	39	2	worldwide	worldwide	ADV
cana-2870	39	3	have	have	AUX
cana-2870	39	4	focused	focus	VERB
cana-2870	39	5	on	on	ADP
cana-2870	39	6	blockchain	blockchain	PROPN
cana-2870	39	7	technology	technology	PROPN
cana-2870	39	8	,	,	PUNCT
cana-2870	39	9	calling	call	VERB
cana-2870	39	10	for	for	ADP
cana-2870	39	11	cryptocurrency	cryptocurrency	NOUN
cana-2870	39	12	regulation	regulation	NOUN
cana-2870	39	13	.	.	PUNCT
cana-2870	40	1	crime	crime	NOUN
cana-2870	40	2	,	,	PUNCT
cana-2870	40	3	sovereignty	sovereignty	NOUN
cana-2870	40	4	,	,	PUNCT
cana-2870	40	5	and	and	CCONJ
cana-2870	40	6	opportunities	opportunity	NOUN
cana-2870	40	7	drive	drive	VERB
cana-2870	40	8	this	this	DET
cana-2870	40	9	government	government	NOUN
cana-2870	40	10	interest	interest	NOUN
cana-2870	40	11	.	.	PUNCT
cana-2870	41	1	however	however	ADV
cana-2870	41	2	,	,	PUNCT
cana-2870	41	3	btc	btc	PROPN
cana-2870	41	4	uses	use	VERB
cana-2870	41	5	pow	pow	PROPN
cana-2870	41	6	and	and	CCONJ
cana-2870	41	7	pos	pos	VERB
cana-2870	41	8	hybrid	hybrid	ADJ
cana-2870	41	9	techniques	technique	NOUN
cana-2870	41	10	,	,	PUNCT
cana-2870	41	11	which	which	PRON
cana-2870	41	12	need	need	VERB
cana-2870	41	13	substantial	substantial	ADJ
cana-2870	41	14	energy	energy	NOUN
cana-2870	41	15	consumption	consumption	NOUN
cana-2870	41	16	to	to	PART
cana-2870	41	17	protect	protect	VERB
cana-2870	41	18	the	the	DET
cana-2870	41	19	network	network	NOUN
cana-2870	41	20	[	[	X
cana-2870	41	21	7	7	NUM
cana-2870	41	22	]	]	PUNCT
cana-2870	41	23	.	.	PUNCT
cana-2870	42	1	bitcoin	bitcoin	PROPN
cana-2870	42	2	utilizes	utilizes	PROPN
cana-2870	42	3	pow	pow	NOUN
cana-2870	42	4	,	,	PUNCT
cana-2870	42	5	a	a	DET
cana-2870	42	6	consensus	consensus	NOUN
cana-2870	42	7	method	method	NOUN
cana-2870	42	8	that	that	PRON
cana-2870	42	9	requires	require	VERB
cana-2870	42	10	users	user	NOUN
cana-2870	42	11	to	to	PART
cana-2870	42	12	calculate	calculate	VERB
cana-2870	42	13	to	to	PART
cana-2870	42	14	validate	validate	VERB
cana-2870	42	15	and	and	CCONJ
cana-2870	42	16	add	add	VERB
cana-2870	42	17	transactions	transaction	NOUN
cana-2870	42	18	.	.	PUNCT
cana-2870	43	1	asics	asic	NOUN
cana-2870	43	2	and	and	CCONJ
cana-2870	43	3	plenty	plenty	NOUN
cana-2870	43	4	of	of	ADP
cana-2870	43	5	electricity	electricity	NOUN
cana-2870	43	6	are	be	AUX
cana-2870	43	7	needed	need	VERB
cana-2870	43	8	for	for	ADP
cana-2870	43	9	mining	mining	NOUN
cana-2870	43	10	.	.	PUNCT
cana-2870	44	1	pow	pow	PROPN
cana-2870	44	2	systems	system	NOUN
cana-2870	44	3	'	'	PART
cana-2870	44	4	high	high	ADJ
cana-2870	44	5	energy	energy	NOUN
cana-2870	44	6	usage	usage	NOUN
cana-2870	44	7	and	and	CCONJ
cana-2870	44	8	mining	mining	NOUN
cana-2870	44	9	power	power	NOUN
cana-2870	44	10	centralization	centralization	NOUN
cana-2870	44	11	are	be	AUX
cana-2870	44	12	drawbacks	drawback	NOUN
cana-2870	44	13	.	.	PUNCT
cana-2870	45	1	in	in	ADP
cana-2870	45	2	view	view	NOUN
cana-2870	45	3	of	of	ADP
cana-2870	45	4	the	the	DET
cana-2870	45	5	worldwide	worldwide	ADJ
cana-2870	45	6	movement	movement	NOUN
cana-2870	45	7	to	to	PART
cana-2870	45	8	prevent	prevent	VERB
cana-2870	45	9	climate	climate	NOUN
cana-2870	45	10	change	change	NOUN
cana-2870	45	11	,	,	PUNCT
cana-2870	45	12	pow	pow	NOUN
cana-2870	45	13	energy	energy	NOUN
cana-2870	45	14	usage	usage	NOUN
cana-2870	45	15	threatens	threaten	VERB
cana-2870	45	16	the	the	DET
cana-2870	45	17	btc	btc	ADJ
cana-2870	45	18	network	network	NOUN
cana-2870	45	19	.	.	PUNCT
cana-2870	46	1	alternative	alternative	ADJ
cana-2870	46	2	systems	system	NOUN
cana-2870	46	3	like	like	ADP
cana-2870	46	4	pos	pos	NOUN
cana-2870	46	5	employ	employ	NOUN
cana-2870	46	6	consensus	consensus	NOUN
cana-2870	46	7	algorithms	algorithm	NOUN
cana-2870	46	8	to	to	PART
cana-2870	46	9	validate	validate	VERB
cana-2870	46	10	transactions	transaction	NOUN
cana-2870	46	11	without	without	ADP
cana-2870	46	12	computing	compute	VERB
cana-2870	46	13	labor	labor	NOUN
cana-2870	46	14	.	.	PUNCT
cana-2870	47	1	users	user	NOUN
cana-2870	47	2	must	must	AUX
cana-2870	47	3	stake	stake	VERB
cana-2870	47	4	the	the	DET
cana-2870	47	5	asset	asset	NOUN
cana-2870	47	6	to	to	PART
cana-2870	47	7	participate	participate	VERB
cana-2870	47	8	in	in	ADP
cana-2870	47	9	validation	validation	NOUN
cana-2870	47	10	.	.	PUNCT
cana-2870	48	1	pos	pos	NOUN
cana-2870	48	2	systems	system	NOUN
cana-2870	48	3	may	may	AUX
cana-2870	48	4	be	be	AUX
cana-2870	48	5	more	more	ADJ
cana-2870	48	6	energy	energy	NOUN
cana-2870	48	7	-	-	PUNCT
cana-2870	48	8	efficient	efficient	ADJ
cana-2870	48	9	than	than	ADP
cana-2870	48	10	pow	pow	NOUN
cana-2870	48	11	systems	system	NOUN
cana-2870	48	12	because	because	SCONJ
cana-2870	48	13	they	they	PRON
cana-2870	48	14	require	require	VERB
cana-2870	48	15	less	less	ADJ
cana-2870	48	16	processing	processing	NOUN
cana-2870	48	17	power	power	NOUN
cana-2870	48	18	[	[	X
cana-2870	48	19	8	8	NUM
cana-2870	48	20	]	]	PUNCT
cana-2870	48	21	.	.	PUNCT
cana-2870	49	1	btc	btc	PROPN
cana-2870	49	2	is	be	AUX
cana-2870	49	3	the	the	DET
cana-2870	49	4	most	most	ADV
cana-2870	49	5	popular	popular	ADJ
cana-2870	49	6	cryptocurrency	cryptocurrency	NOUN
cana-2870	49	7	.	.	PUNCT
cana-2870	50	1	its	its	PRON
cana-2870	50	2	early	early	ADJ
cana-2870	50	3	market	market	NOUN
cana-2870	50	4	entry	entry	NOUN
cana-2870	50	5	and	and	CCONJ
cana-2870	50	6	prominence	prominence	NOUN
cana-2870	50	7	as	as	ADP
cana-2870	50	8	the	the	DET
cana-2870	50	9	first	first	ADJ
cana-2870	50	10	cryptocurrency	cryptocurrency	NOUN
cana-2870	50	11	helped	help	VERB
cana-2870	50	12	it	it	PRON
cana-2870	50	13	gain	gain	VERB
cana-2870	50	14	importance	importance	NOUN
cana-2870	50	15	and	and	CCONJ
cana-2870	50	16	appeal	appeal	NOUN
cana-2870	50	17	.	.	PUNCT
cana-2870	51	1	this	this	PRON
cana-2870	51	2	has	have	AUX
cana-2870	51	3	become	become	VERB
cana-2870	51	4	btc	btc	ADJ
cana-2870	51	5	the	the	DET
cana-2870	51	6	top	top	ADJ
cana-2870	51	7	cryptocurrency	cryptocurrency	NOUN
cana-2870	51	8	.	.	PUNCT
cana-2870	52	1	ethereum	ethereum	NOUN
cana-2870	52	2	,	,	PUNCT
cana-2870	52	3	ltc	ltc	NOUN
cana-2870	52	4	,	,	PUNCT
cana-2870	52	5	and	and	CCONJ
cana-2870	52	6	ripple	ripple	NOUN
cana-2870	52	7	is	be	AUX
cana-2870	52	8	also	also	ADV
cana-2870	52	9	popular	popular	ADJ
cana-2870	52	10	.	.	PUNCT
cana-2870	53	1	ref	ref	NOUN
cana-2870	53	2	.	.	PUNCT
cana-2870	54	1	[	[	X
cana-2870	54	2	9	9	NUM
cana-2870	54	3	]	]	PUNCT
cana-2870	54	4	notes	note	VERB
cana-2870	54	5	that	that	SCONJ
cana-2870	54	6	bitcoin	bitcoin	PROPN
cana-2870	54	7	's	's	PART
cana-2870	54	8	rivalry	rivalry	NOUN
cana-2870	54	9	with	with	ADP
cana-2870	54	10	competing	compete	VERB
cana-2870	54	11	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	54	12	pushes	push	VERB
cana-2870	54	13	industry	industry	NOUN
cana-2870	54	14	improvement	improvement	NOUN
cana-2870	54	15	in	in	ADP
cana-2870	54	16	technology	technology	NOUN
cana-2870	54	17	and	and	CCONJ
cana-2870	54	18	security	security	NOUN
cana-2870	54	19	.	.	PUNCT
cana-2870	55	1	in	in	ADP
cana-2870	55	2	[	[	X
cana-2870	55	3	10	10	NUM
cana-2870	55	4	]	]	PUNCT
cana-2870	55	5	,	,	PUNCT
cana-2870	55	6	big	big	ADJ
cana-2870	55	7	data	datum	NOUN
cana-2870	55	8	and	and	CCONJ
cana-2870	55	9	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	55	10	are	be	AUX
cana-2870	55	11	examined	examine	VERB
cana-2870	55	12	.	.	PUNCT
cana-2870	56	1	typically	typically	ADV
cana-2870	56	2	,	,	PUNCT
cana-2870	56	3	this	this	DET
cana-2870	56	4	material	material	NOUN
cana-2870	56	5	is	be	AUX
cana-2870	56	6	unstructured	unstructure	VERB
cana-2870	56	7	and	and	CCONJ
cana-2870	56	8	difficult	difficult	ADJ
cana-2870	56	9	to	to	PART
cana-2870	56	10	handle	handle	VERB
cana-2870	56	11	using	use	VERB
cana-2870	56	12	conventional	conventional	ADJ
cana-2870	56	13	approaches	approach	NOUN
cana-2870	56	14	.	.	PUNCT
cana-2870	57	1	over	over	ADP
cana-2870	57	2	the	the	DET
cana-2870	57	3	past	past	ADJ
cana-2870	57	4	decade	decade	NOUN
cana-2870	57	5	,	,	PUNCT
cana-2870	57	6	there	there	PRON
cana-2870	57	7	have	have	AUX
cana-2870	57	8	been	be	AUX
cana-2870	57	9	substantial	substantial	ADJ
cana-2870	57	10	advancements	advancement	NOUN
cana-2870	57	11	in	in	ADP
cana-2870	57	12	computer	computer	NOUN
cana-2870	57	13	and	and	CCONJ
cana-2870	57	14	communication	communication	NOUN
cana-2870	57	15	platforms	platform	NOUN
cana-2870	57	16	due	due	ADP
cana-2870	57	17	to	to	ADP
cana-2870	57	18	digitalization	digitalization	NOUN
cana-2870	57	19	and	and	CCONJ
cana-2870	57	20	the	the	DET
cana-2870	57	21	use	use	NOUN
cana-2870	57	22	of	of	ADP
cana-2870	57	23	cutting	cut	VERB
cana-2870	57	24	-	-	PUNCT
cana-2870	57	25	edge	edge	NOUN
cana-2870	57	26	technologies	technology	NOUN
cana-2870	57	27	.	.	PUNCT
cana-2870	58	1	according	accord	VERB
cana-2870	58	2	to	to	ADP
cana-2870	58	3	[	[	X
cana-2870	58	4	11	11	NUM
cana-2870	58	5	]	]	PUNCT
cana-2870	58	6	,	,	PUNCT
cana-2870	58	7	this	this	DET
cana-2870	58	8	development	development	NOUN
cana-2870	58	9	has	have	AUX
cana-2870	58	10	led	lead	VERB
cana-2870	58	11	to	to	ADP
cana-2870	58	12	the	the	DET
cana-2870	58	13	extensive	extensive	ADJ
cana-2870	58	14	gathering	gathering	NOUN
cana-2870	58	15	and	and	CCONJ
cana-2870	58	16	utilization	utilization	NOUN
cana-2870	58	17	of	of	ADP
cana-2870	58	18	big	big	ADJ
cana-2870	58	19	data	datum	NOUN
cana-2870	58	20	analytics	analytic	NOUN
cana-2870	58	21	in	in	ADP
cana-2870	58	22	several	several	ADJ
cana-2870	58	23	areas	area	NOUN
cana-2870	58	24	of	of	ADP
cana-2870	58	25	everyday	everyday	ADJ
cana-2870	58	26	life	life	NOUN
cana-2870	58	27	.	.	PUNCT
cana-2870	59	1	the	the	DET
cana-2870	59	2	utilization	utilization	NOUN
cana-2870	59	3	of	of	ADP
cana-2870	59	4	big	big	ADJ
cana-2870	59	5	data	datum	NOUN
cana-2870	59	6	analytics	analytic	NOUN
cana-2870	59	7	and	and	CCONJ
cana-2870	59	8	the	the	DET
cana-2870	59	9	iot	iot	NOUN
cana-2870	59	10	is	be	AUX
cana-2870	59	11	revolutionizing	revolutionize	VERB
cana-2870	59	12	communication	communication	NOUN
cana-2870	59	13	infrastructure	infrastructure	NOUN
cana-2870	59	14	and	and	CCONJ
cana-2870	59	15	influencing	influence	VERB
cana-2870	59	16	the	the	DET
cana-2870	59	17	methods	method	NOUN
cana-2870	59	18	by	by	ADP
cana-2870	59	19	which	which	PRON
cana-2870	59	20	data	datum	NOUN
cana-2870	59	21	are	be	AUX
cana-2870	59	22	processed	process	VERB
cana-2870	59	23	and	and	CCONJ
cana-2870	59	24	evaluated	evaluate	VERB
cana-2870	59	25	.	.	PUNCT
cana-2870	60	1	both	both	PRON
cana-2870	60	2	of	of	ADP
cana-2870	60	3	them	they	PRON
cana-2870	60	4	depend	depend	VERB
cana-2870	60	5	on	on	ADP
cana-2870	60	6	sophisticated	sophisticated	ADJ
cana-2870	60	7	technology	technology	NOUN
cana-2870	60	8	,	,	PUNCT
cana-2870	60	9	such	such	ADJ
cana-2870	60	10	as	as	ADP
cana-2870	60	11	ai	ai	PROPN
cana-2870	60	12	and	and	CCONJ
cana-2870	60	13	ml	ml	NOUN
cana-2870	60	14	,	,	PUNCT
cana-2870	60	15	to	to	PART
cana-2870	60	16	handle	handle	VERB
cana-2870	60	17	vast	vast	ADJ
cana-2870	60	18	quantities	quantity	NOUN
cana-2870	60	19	of	of	ADP
cana-2870	60	20	data	datum	NOUN
cana-2870	60	21	.	.	PUNCT
cana-2870	61	1	the	the	DET
cana-2870	61	2	relationship	relationship	NOUN
cana-2870	61	3	between	between	ADP
cana-2870	61	4	big	big	ADJ
cana-2870	61	5	data	datum	NOUN
cana-2870	61	6	and	and	CCONJ
cana-2870	61	7	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	61	8	is	be	AUX
cana-2870	61	9	intimate	intimate	ADJ
cana-2870	61	10	,	,	PUNCT
cana-2870	61	11	since	since	SCONJ
cana-2870	61	12	blockchain	blockchain	PROPN
cana-2870	61	13	technology	technology	PROPN
cana-2870	61	14	,	,	PUNCT
cana-2870	61	15	employed	employ	VERB
cana-2870	61	16	in	in	ADP
cana-2870	61	17	cryptocurrency	cryptocurrency	NOUN
cana-2870	61	18	administration	administration	NOUN
cana-2870	61	19	,	,	PUNCT
cana-2870	61	20	utilizes	utilize	VERB
cana-2870	61	21	big	big	ADJ
cana-2870	61	22	data	datum	NOUN
cana-2870	61	23	methods	method	NOUN
cana-2870	61	24	for	for	ADP
cana-2870	61	25	the	the	DET
cana-2870	61	26	purpose	purpose	NOUN
cana-2870	61	27	of	of	ADP
cana-2870	61	28	safe	safe	ADJ
cana-2870	61	29	and	and	CCONJ
cana-2870	61	30	decentralized	decentralized	ADJ
cana-2870	61	31	data	datum	NOUN
cana-2870	61	32	storage	storage	NOUN
cana-2870	61	33	and	and	CCONJ
cana-2870	61	34	processing	processing	NOUN
cana-2870	61	35	.	.	PUNCT
cana-2870	62	1	moreover	moreover	ADV
cana-2870	62	2	,	,	PUNCT
cana-2870	62	3	the	the	DET
cana-2870	62	4	utilization	utilization	NOUN
cana-2870	62	5	of	of	ADP
cana-2870	62	6	big	big	ADJ
cana-2870	62	7	data	datum	NOUN
cana-2870	62	8	analytics	analytic	NOUN
cana-2870	62	9	enables	enable	VERB
cana-2870	62	10	the	the	DET
cana-2870	62	11	examination	examination	NOUN
cana-2870	62	12	of	of	ADP
cana-2870	62	13	bitcoin	bitcoin	ADJ
cana-2870	62	14	market	market	NOUN
cana-2870	62	15	patterns	pattern	NOUN
cana-2870	62	16	and	and	CCONJ
cana-2870	62	17	identification	identification	NOUN
cana-2870	62	18	of	of	ADP
cana-2870	62	19	deceitful	deceitful	ADJ
cana-2870	62	20	behaviors	behavior	NOUN
cana-2870	62	21	,	,	PUNCT
cana-2870	62	22	thereby	thereby	ADV
cana-2870	62	23	enhancing	enhance	VERB
cana-2870	62	24	the	the	DET
cana-2870	62	25	resilience	resilience	NOUN
cana-2870	62	26	of	of	ADP
cana-2870	62	27	the	the	DET
cana-2870	62	28	cryptocurrency	cryptocurrency	NOUN
cana-2870	62	29	market	market	NOUN
cana-2870	62	30	.	.	PUNCT
cana-2870	63	1	the	the	DET
cana-2870	63	2	mutual	mutual	ADJ
cana-2870	63	3	reliance	reliance	NOUN
cana-2870	63	4	between	between	ADP
cana-2870	63	5	big	big	ADJ
cana-2870	63	6	data	datum	NOUN
cana-2870	63	7	and	and	CCONJ
cana-2870	63	8	cryptocurrency	cryptocurrency	NOUN
cana-2870	63	9	has	have	VERB
cana-2870	63	10	favorable	favorable	ADJ
cana-2870	63	11	prospects	prospect	NOUN
cana-2870	63	12	for	for	ADP
cana-2870	63	13	the	the	DET
cana-2870	63	14	advancement	advancement	NOUN
cana-2870	63	15	of	of	ADP
cana-2870	63	16	both	both	PRON
cana-2870	63	17	.	.	PUNCT
cana-2870	64	1	the	the	DET
cana-2870	64	2	cryptocurrency	cryptocurrency	NOUN
cana-2870	64	3	market	market	NOUN
cana-2870	64	4	is	be	AUX
cana-2870	64	5	very	very	ADV
cana-2870	64	6	volatile	volatile	ADJ
cana-2870	64	7	,	,	PUNCT
cana-2870	64	8	making	make	VERB
cana-2870	64	9	it	it	PRON
cana-2870	64	10	a	a	DET
cana-2870	64	11	profitable	profitable	ADJ
cana-2870	64	12	market	market	NOUN
cana-2870	64	13	for	for	ADP
cana-2870	64	14	speculators	speculator	NOUN
cana-2870	64	15	.	.	PUNCT
cana-2870	65	1	utilizing	utilize	VERB
cana-2870	65	2	ai	ai	VERB
cana-2870	65	3	and	and	CCONJ
cana-2870	65	4	ml	ml	ADP
cana-2870	65	5	algorithms	algorithm	NOUN
cana-2870	65	6	can	can	AUX
cana-2870	65	7	assist	assist	VERB
cana-2870	65	8	in	in	ADP
cana-2870	65	9	forecasting	forecast	VERB
cana-2870	65	10	future	future	ADJ
cana-2870	65	11	cryptocurrency	cryptocurrency	NOUN
cana-2870	65	12	values	value	NOUN
cana-2870	65	13	,	,	PUNCT
cana-2870	65	14	while	while	SCONJ
cana-2870	65	15	the	the	DET
cana-2870	65	16	work	work	NOUN
cana-2870	65	17	remains	remain	VERB
cana-2870	65	18	difficult	difficult	ADJ
cana-2870	65	19	owing	owe	VERB
cana-2870	65	20	to	to	ADP
cana-2870	65	21	the	the	DET
cana-2870	65	22	intricate	intricate	ADJ
cana-2870	65	23	and	and	CCONJ
cana-2870	65	24	non	non	ADJ
cana-2870	65	25	-	-	ADJ
cana-2870	65	26	linear	linear	ADJ
cana-2870	65	27	nature	nature	NOUN
cana-2870	65	28	of	of	ADP
cana-2870	65	29	the	the	DET
cana-2870	65	30	pricing	pricing	NOUN
cana-2870	65	31	.	.	PUNCT
cana-2870	66	1	however	however	ADV
cana-2870	66	2	,	,	PUNCT
cana-2870	66	3	it	it	PRON
cana-2870	66	4	is	be	AUX
cana-2870	66	5	anticipated	anticipate	VERB
cana-2870	66	6	that	that	SCONJ
cana-2870	66	7	the	the	DET
cana-2870	66	8	market	market	NOUN
cana-2870	66	9	value	value	NOUN
cana-2870	66	10	of	of	ADP
cana-2870	66	11	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	66	12	would	would	AUX
cana-2870	66	13	increase	increase	VERB
cana-2870	66	14	in	in	ADP
cana-2870	66	15	the	the	DET
cana-2870	66	16	future	future	NOUN
cana-2870	66	17	,	,	PUNCT
cana-2870	66	18	with	with	ADP
cana-2870	66	19	a	a	DET
cana-2870	66	20	projected	project	VERB
cana-2870	66	21	compound	compound	NOUN
cana-2870	66	22	annual	annual	ADJ
cana-2870	66	23	growth	growth	NOUN
cana-2870	66	24	rate	rate	NOUN
cana-2870	66	25	of	of	ADP
cana-2870	66	26	11.1	11.1	NUM
cana-2870	66	27	%	%	NOUN
cana-2870	66	28	.	.	PUNCT
cana-2870	67	1	nevertheless	nevertheless	ADV
cana-2870	67	2	,	,	PUNCT
cana-2870	67	3	investors	investor	NOUN
cana-2870	67	4	have	have	AUX
cana-2870	67	5	encountered	encounter	VERB
cana-2870	67	6	challenges	challenge	NOUN
cana-2870	67	7	in	in	ADP
cana-2870	67	8	previous	previous	ADJ
cana-2870	67	9	instances	instance	NOUN
cana-2870	67	10	due	due	ADP
cana-2870	67	11	to	to	ADP
cana-2870	67	12	price	price	NOUN
cana-2870	67	13	bubbles	bubble	NOUN
cana-2870	67	14	resulting	result	VERB
cana-2870	67	15	in	in	ADP
cana-2870	67	16	an	an	DET
cana-2870	67	17	unsustainable	unsustainable	ADJ
cana-2870	67	18	level	level	NOUN
cana-2870	67	19	of	of	ADP
cana-2870	67	20	volatility	volatility	NOUN
cana-2870	67	21	.	.	PUNCT
cana-2870	68	1	to	to	PART
cana-2870	68	2	address	address	VERB
cana-2870	68	3	these	these	DET
cana-2870	68	4	problems	problem	NOUN
cana-2870	68	5	,	,	PUNCT
cana-2870	68	6	market	market	NOUN
cana-2870	68	7	players	player	NOUN
cana-2870	68	8	need	need	VERB
cana-2870	68	9	a	a	DET
cana-2870	68	10	credible	credible	ADJ
cana-2870	68	11	model	model	NOUN
cana-2870	68	12	to	to	PART
cana-2870	68	13	capture	capture	VERB
cana-2870	68	14	trends	trend	NOUN
cana-2870	68	15	and	and	CCONJ
cana-2870	68	16	anticipate	anticipate	VERB
cana-2870	68	17	.	.	PUNCT
cana-2870	69	1	however	however	ADV
cana-2870	69	2	,	,	PUNCT
cana-2870	69	3	government	government	NOUN
cana-2870	69	4	regulations	regulation	NOUN
cana-2870	69	5	,	,	PUNCT
cana-2870	69	6	technical	technical	ADJ
cana-2870	69	7	advances	advance	NOUN
cana-2870	69	8	,	,	PUNCT
cana-2870	69	9	public	public	ADJ
cana-2870	69	10	perception	perception	NOUN
cana-2870	69	11	,	,	PUNCT
cana-2870	69	12	and	and	CCONJ
cana-2870	69	13	global	global	ADJ
cana-2870	69	14	events	event	NOUN
cana-2870	69	15	greatly	greatly	ADV
cana-2870	69	16	impact	impact	VERB
cana-2870	69	17	cryptocurrency	cryptocurrency	NOUN
cana-2870	69	18	price	price	NOUN
cana-2870	69	19	prediction	prediction	NOUN
cana-2870	69	20	difficult	difficult	ADJ
cana-2870	69	21	.	.	PUNCT
cana-2870	70	1	thus	thus	ADV
cana-2870	70	2	,	,	PUNCT
cana-2870	70	3	the	the	DET
cana-2870	70	4	article	article	NOUN
cana-2870	70	5	uses	use	VERB
cana-2870	70	6	deep	deep	ADJ
cana-2870	70	7	learning	learn	VERB
cana-2870	70	8	algorithms	algorithm	NOUN
cana-2870	70	9	to	to	PART
cana-2870	70	10	find	find	VERB
cana-2870	70	11	hidden	hidden	ADJ
cana-2870	70	12	patterns	pattern	NOUN
cana-2870	70	13	in	in	ADP
cana-2870	70	14	data	datum	NOUN
cana-2870	70	15	,	,	PUNCT
cana-2870	70	16	combine	combine	VERB
cana-2870	70	17	them	they	PRON
cana-2870	70	18	,	,	PUNCT
cana-2870	70	19	and	and	CCONJ
cana-2870	70	20	make	make	VERB
cana-2870	70	21	more	more	ADV
cana-2870	70	22	accurate	accurate	ADJ
cana-2870	70	23	predictions	prediction	NOUN
cana-2870	70	24	:	:	PUNCT
cana-2870	70	25	•	•	NUM
cana-2870	70	26	developing	develop	VERB
cana-2870	70	27	a	a	DET
cana-2870	70	28	framework	framework	NOUN
cana-2870	70	29	for	for	ADP
cana-2870	70	30	btc	btc	NOUN
cana-2870	70	31	,	,	PUNCT
cana-2870	70	32	eth	eth	NOUN
cana-2870	70	33	,	,	PUNCT
cana-2870	70	34	and	and	CCONJ
cana-2870	70	35	bnb	bnb	NOUN
cana-2870	70	36	price	price	NOUN
cana-2870	70	37	predictions	prediction	NOUN
cana-2870	70	38	;	;	PUNCT
cana-2870	70	39	•	•	NUM
cana-2870	70	40	applying	apply	VERB
cana-2870	70	41	chosen	choose	VERB
cana-2870	70	42	dl	dl	PROPN
cana-2870	70	43	algorithms	algorithm	NOUN
cana-2870	70	44	:	:	PUNCT
cana-2870	70	45	lstm	lstm	ADJ
cana-2870	70	46	,	,	PUNCT
cana-2870	70	47	bi	bi	NOUN
cana-2870	70	48	-	-	ADJ
cana-2870	70	49	lstm	lstm	ADJ
cana-2870	70	50	,	,	PUNCT
cana-2870	70	51	and	and	CCONJ
cana-2870	70	52	gru	gru	PROPN
cana-2870	70	53	;	;	PUNCT
cana-2870	70	54	communications	communication	NOUN
cana-2870	70	55	on	on	ADP
cana-2870	70	56	applied	apply	VERB
cana-2870	70	57	nonlinear	nonlinear	ADJ
cana-2870	70	58	analysis	analysis	NOUN
cana-2870	70	59	issn	issn	NOUN
cana-2870	70	60	:	:	PUNCT
cana-2870	70	61	1074	1074	NUM
cana-2870	70	62	-	-	PUNCT
cana-2870	70	63	133x	133x	NUM
cana-2870	70	64	vol	vol	NOUN
cana-2870	70	65	32	32	NUM
cana-2870	70	66	no	no	NOUN
cana-2870	70	67	.	.	PUNCT
cana-2870	71	1	4s	4s	NUM
cana-2870	71	2	(	(	PUNCT
cana-2870	71	3	2025	2025	NUM
cana-2870	71	4	)	)	PUNCT
cana-2870	71	5	539	539	NUM
cana-2870	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	71	7	•	•	ADV
cana-2870	71	8	assessing	assess	VERB
cana-2870	71	9	prediction	prediction	NOUN
cana-2870	71	10	performance	performance	NOUN
cana-2870	71	11	using	use	VERB
cana-2870	71	12	mape	mape	NOUN
cana-2870	71	13	,	,	PUNCT
cana-2870	71	14	rmse	rmse	NOUN
cana-2870	71	15	,	,	PUNCT
cana-2870	71	16	mae	mae	PROPN
cana-2870	71	17	and	and	CCONJ
cana-2870	71	18	mse	mse	NOUN
cana-2870	71	19	metrics	metric	NOUN
cana-2870	71	20	;	;	PUNCT
cana-2870	71	21	in	in	ADP
cana-2870	71	22	this	this	DET
cana-2870	71	23	paper	paper	NOUN
cana-2870	71	24	,	,	PUNCT
cana-2870	71	25	section	section	NOUN
cana-2870	71	26	2	2	NUM
cana-2870	71	27	covers	cover	VERB
cana-2870	71	28	the	the	DET
cana-2870	71	29	literature	literature	NOUN
cana-2870	71	30	,	,	PUNCT
cana-2870	71	31	section	section	NOUN
cana-2870	71	32	3	3	NUM
cana-2870	71	33	materials	material	NOUN
cana-2870	71	34	and	and	CCONJ
cana-2870	71	35	methods	method	NOUN
cana-2870	71	36	,	,	PUNCT
cana-2870	71	37	section	section	NOUN
cana-2870	71	38	4	4	NUM
cana-2870	71	39	experimental	experimental	ADJ
cana-2870	71	40	results	result	NOUN
cana-2870	71	41	,	,	PUNCT
cana-2870	71	42	section	section	NOUN
cana-2870	71	43	5	5	NUM
cana-2870	71	44	compares	compare	VERB
cana-2870	71	45	our	our	PRON
cana-2870	71	46	model	model	NOUN
cana-2870	71	47	to	to	ADP
cana-2870	71	48	similar	similar	ADJ
cana-2870	71	49	studies	study	NOUN
cana-2870	71	50	,	,	PUNCT
cana-2870	71	51	and	and	CCONJ
cana-2870	71	52	section	section	NOUN
cana-2870	71	53	6	6	NUM
cana-2870	71	54	concludes	conclude	VERB
cana-2870	71	55	the	the	DET
cana-2870	71	56	study	study	NOUN
cana-2870	71	57	.	.	PUNCT
cana-2870	72	1	2	2	X
cana-2870	72	2	.	.	X
cana-2870	72	3	literature	literature	NOUN
cana-2870	72	4	review	review	PROPN
cana-2870	72	5	machine	machine	NOUN
cana-2870	72	6	learning	learn	VERB
cana-2870	72	7	forecasts	forecast	VERB
cana-2870	72	8	the	the	DET
cana-2870	72	9	future	future	NOUN
cana-2870	72	10	using	use	VERB
cana-2870	72	11	past	past	ADJ
cana-2870	72	12	data	datum	NOUN
cana-2870	72	13	.	.	PUNCT
cana-2870	73	1	training	train	VERB
cana-2870	73	2	an	an	DET
cana-2870	73	3	ml	ml	NOUN
cana-2870	73	4	model	model	NOUN
cana-2870	73	5	on	on	ADP
cana-2870	73	6	past	past	ADJ
cana-2870	73	7	data	data	NOUN
cana-2870	73	8	aids	aid	NOUN
cana-2870	73	9	in	in	ADP
cana-2870	73	10	future	future	ADJ
cana-2870	73	11	price	price	NOUN
cana-2870	73	12	prediction	prediction	NOUN
cana-2870	73	13	.	.	PUNCT
cana-2870	74	1	among	among	ADP
cana-2870	74	2	other	other	ADJ
cana-2870	74	3	benefits	benefit	NOUN
cana-2870	74	4	over	over	ADP
cana-2870	74	5	conventional	conventional	ADJ
cana-2870	74	6	forecasting	forecasting	NOUN
cana-2870	74	7	models	model	NOUN
cana-2870	74	8	,	,	PUNCT
cana-2870	74	9	ml	ml	PUNCT
cana-2870	74	10	and	and	CCONJ
cana-2870	74	11	dl	dl	PROPN
cana-2870	74	12	techniques	technique	NOUN
cana-2870	74	13	enable	enable	VERB
cana-2870	74	14	the	the	DET
cana-2870	74	15	ability	ability	NOUN
cana-2870	74	16	to	to	PART
cana-2870	74	17	produce	produce	VERB
cana-2870	74	18	results	result	NOUN
cana-2870	74	19	near	near	ADP
cana-2870	74	20	to	to	ADP
cana-2870	74	21	the	the	DET
cana-2870	74	22	real	real	ADJ
cana-2870	74	23	data	datum	NOUN
cana-2870	74	24	points	point	NOUN
cana-2870	74	25	and	and	CCONJ
cana-2870	74	26	raise	raise	VERB
cana-2870	74	27	accuracy	accuracy	NOUN
cana-2870	74	28	.	.	PUNCT
cana-2870	75	1	[	[	X
cana-2870	75	2	12	12	NUM
cana-2870	75	3	]	]	PUNCT
cana-2870	75	4	.	.	PUNCT
cana-2870	76	1	several	several	ADJ
cana-2870	76	2	ml	ml	NOUN
cana-2870	76	3	approaches	approach	NOUN
cana-2870	76	4	are	be	AUX
cana-2870	76	5	used	use	VERB
cana-2870	76	6	for	for	ADP
cana-2870	76	7	this	this	DET
cana-2870	76	8	purpose	purpose	NOUN
cana-2870	76	9	,	,	PUNCT
cana-2870	76	10	such	such	ADJ
cana-2870	76	11	as	as	ADP
cana-2870	76	12	dt	dt	PROPN
cana-2870	76	13	,	,	PUNCT
cana-2870	76	14	svm	svm	PROPN
cana-2870	76	15	and	and	CCONJ
cana-2870	76	16	nn	nn	NOUN
cana-2870	76	17	’s	’s	NOUN
cana-2870	76	18	.	.	PUNCT
cana-2870	77	1	according	accord	VERB
cana-2870	77	2	to	to	ADP
cana-2870	77	3	the	the	DET
cana-2870	77	4	authors	author	NOUN
cana-2870	77	5	of	of	ADP
cana-2870	77	6	[	[	X
cana-2870	77	7	13	13	NUM
cana-2870	77	8	]	]	PUNCT
cana-2870	77	9	,	,	PUNCT
cana-2870	77	10	including	include	VERB
cana-2870	77	11	bitcoin	bitcoin	PROPN
cana-2870	77	12	into	into	ADP
cana-2870	77	13	multi	multi	ADJ
cana-2870	77	14	-	-	ADJ
cana-2870	77	15	asset	asset	ADJ
cana-2870	77	16	portfolios	portfolio	NOUN
cana-2870	77	17	improves	improve	VERB
cana-2870	77	18	portfolio	portfolio	NOUN
cana-2870	77	19	performance	performance	NOUN
cana-2870	77	20	in	in	ADP
cana-2870	77	21	a	a	DET
cana-2870	77	22	variety	variety	NOUN
cana-2870	77	23	of	of	ADP
cana-2870	77	24	ways	way	NOUN
cana-2870	77	25	.	.	PUNCT
cana-2870	78	1	it	it	PRON
cana-2870	78	2	first	first	ADV
cana-2870	78	3	increases	increase	VERB
cana-2870	78	4	portfolio	portfolio	NOUN
cana-2870	78	5	minimal	minimal	ADJ
cana-2870	78	6	variance	variance	NOUN
cana-2870	78	7	and	and	CCONJ
cana-2870	78	8	raises	raise	VERB
cana-2870	78	9	the	the	DET
cana-2870	78	10	efficient	efficient	ADJ
cana-2870	78	11	frontier	frontier	NOUN
cana-2870	78	12	.	.	PUNCT
cana-2870	79	1	bitcoin	bitcoin	ADJ
cana-2870	79	2	assets	asset	NOUN
cana-2870	79	3	also	also	ADV
cana-2870	79	4	reduce	reduce	VERB
cana-2870	79	5	portfolio	portfolio	NOUN
cana-2870	79	6	standard	standard	ADJ
cana-2870	79	7	deviations	deviation	NOUN
cana-2870	79	8	and	and	CCONJ
cana-2870	79	9	increase	increase	VERB
cana-2870	79	10	sharpe	sharpe	NOUN
cana-2870	79	11	ratios	ratio	NOUN
cana-2870	79	12	.	.	PUNCT
cana-2870	80	1	several	several	ADJ
cana-2870	80	2	research	research	NOUN
cana-2870	80	3	have	have	AUX
cana-2870	80	4	employed	employ	VERB
cana-2870	80	5	machine	machine	NOUN
cana-2870	80	6	learning	learn	VERB
cana-2870	80	7	algorithms	algorithm	NOUN
cana-2870	80	8	to	to	PART
cana-2870	80	9	anticipate	anticipate	VERB
cana-2870	80	10	bitcoin	bitcoin	ADJ
cana-2870	80	11	values	value	NOUN
cana-2870	80	12	,	,	PUNCT
cana-2870	80	13	with	with	ADP
cana-2870	80	14	promising	promising	ADJ
cana-2870	80	15	results	result	NOUN
cana-2870	80	16	.	.	PUNCT
cana-2870	81	1	machine	machine	NOUN
cana-2870	81	2	learning	learn	VERB
cana-2870	81	3	techniques	technique	NOUN
cana-2870	81	4	were	be	AUX
cana-2870	81	5	applied	apply	VERB
cana-2870	81	6	to	to	PART
cana-2870	81	7	forecast	forecast	VERB
cana-2870	81	8	btc	btc	NOUN
cana-2870	81	9	and	and	CCONJ
cana-2870	81	10	other	other	ADJ
cana-2870	81	11	cryptocurrency	cryptocurrency	NOUN
cana-2870	81	12	prices	price	NOUN
cana-2870	81	13	.	.	PUNCT
cana-2870	82	1	the	the	DET
cana-2870	82	2	authors	author	NOUN
cana-2870	82	3	[	[	X
cana-2870	82	4	14	14	NUM
cana-2870	82	5	]	]	PUNCT
cana-2870	82	6	compared	compare	VERB
cana-2870	82	7	the	the	DET
cana-2870	82	8	svm	svm	PROPN
cana-2870	82	9	,	,	PUNCT
cana-2870	82	10	ann	ann	PROPN
cana-2870	82	11	,	,	PUNCT
cana-2870	82	12	and	and	CCONJ
cana-2870	82	13	deep	deep	ADJ
cana-2870	82	14	learning	learning	NOUN
cana-2870	82	15	machine	machine	NOUN
cana-2870	82	16	learning	learn	VERB
cana-2870	82	17	algorithms	algorithm	NOUN
cana-2870	82	18	.	.	PUNCT
cana-2870	83	1	this	this	DET
cana-2870	83	2	research	research	NOUN
cana-2870	83	3	attains	attain	VERB
cana-2870	83	4	99	99	NUM
cana-2870	83	5	%	%	NOUN
cana-2870	83	6	accuracy	accuracy	NOUN
cana-2870	83	7	in	in	ADP
cana-2870	83	8	predicting	predict	VERB
cana-2870	83	9	bitcoin	bitcoin	NOUN
cana-2870	83	10	and	and	CCONJ
cana-2870	83	11	ethereum	ethereum	NOUN
cana-2870	83	12	prices	price	NOUN
cana-2870	83	13	through	through	ADP
cana-2870	83	14	the	the	DET
cana-2870	83	15	utilization	utilization	NOUN
cana-2870	83	16	of	of	ADP
cana-2870	83	17	network	network	NOUN
cana-2870	83	18	-	-	PUNCT
cana-2870	83	19	based	base	VERB
cana-2870	83	20	characteristics	characteristic	NOUN
cana-2870	83	21	and	and	CCONJ
cana-2870	83	22	machine	machine	NOUN
cana-2870	83	23	learning	learning	NOUN
cana-2870	83	24	models	model	NOUN
cana-2870	83	25	.	.	PUNCT
cana-2870	84	1	in	in	ADP
cana-2870	84	2	[	[	X
cana-2870	84	3	15	15	NUM
cana-2870	84	4	]	]	PUNCT
cana-2870	84	5	,	,	PUNCT
cana-2870	84	6	researchers	researcher	NOUN
cana-2870	84	7	employed	employ	VERB
cana-2870	84	8	ann	ann	PROPN
cana-2870	84	9	,	,	PUNCT
cana-2870	84	10	knn	knn	PROPN
cana-2870	84	11	,	,	PUNCT
cana-2870	84	12	gradient	gradient	ADJ
cana-2870	84	13	boosted	boost	VERB
cana-2870	84	14	trees	tree	NOUN
cana-2870	84	15	,	,	PUNCT
cana-2870	84	16	and	and	CCONJ
cana-2870	84	17	an	an	DET
cana-2870	84	18	ensemble	ensemble	ADJ
cana-2870	84	19	model	model	NOUN
cana-2870	84	20	to	to	PART
cana-2870	84	21	forecast	forecast	VERB
cana-2870	84	22	the	the	DET
cana-2870	84	23	prices	price	NOUN
cana-2870	84	24	of	of	ADP
cana-2870	84	25	nine	nine	NUM
cana-2870	84	26	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	84	27	.	.	PUNCT
cana-2870	85	1	[	[	X
cana-2870	85	2	16	16	NUM
cana-2870	85	3	]	]	PUNCT
cana-2870	85	4	employed	employ	VERB
cana-2870	85	5	an	an	DET
cana-2870	85	6	ensemble	ensemble	ADJ
cana-2870	85	7	model	model	NOUN
cana-2870	85	8	using	use	VERB
cana-2870	85	9	rf	rf	NOUN
cana-2870	85	10	and	and	CCONJ
cana-2870	85	11	gbm	gbm	PROPN
cana-2870	85	12	to	to	PART
cana-2870	85	13	forecast	forecast	VERB
cana-2870	85	14	btc	btc	PROPN
cana-2870	85	15	,	,	PUNCT
cana-2870	85	16	eth	eth	NOUN
cana-2870	85	17	,	,	PUNCT
cana-2870	85	18	and	and	CCONJ
cana-2870	85	19	xrp	xrp	PROPN
cana-2870	85	20	values	value	NOUN
cana-2870	85	21	.	.	PUNCT
cana-2870	86	1	these	these	DET
cana-2870	86	2	forecasts	forecast	NOUN
cana-2870	86	3	'	'	PART
cana-2870	86	4	mape	mape	NOUN
cana-2870	86	5	values	value	NOUN
cana-2870	86	6	for	for	ADP
cana-2870	86	7	the	the	DET
cana-2870	86	8	ensemble	ensemble	ADJ
cana-2870	86	9	model	model	NOUN
cana-2870	86	10	varied	varied	ADJ
cana-2870	86	11	from	from	ADP
cana-2870	86	12	0.92	0.92	NUM
cana-2870	86	13	%	%	NOUN
cana-2870	86	14	to	to	PART
cana-2870	86	15	2.61	2.61	NUM
cana-2870	86	16	%	%	NOUN
cana-2870	86	17	.	.	PUNCT
cana-2870	87	1	many	many	ADJ
cana-2870	87	2	dl	dl	NOUN
cana-2870	87	3	-	-	PUNCT
cana-2870	87	4	based	base	VERB
cana-2870	87	5	financial	financial	ADJ
cana-2870	87	6	time	time	NOUN
cana-2870	87	7	series	series	PROPN
cana-2870	87	8	prediction	prediction	NOUN
cana-2870	87	9	models	model	NOUN
cana-2870	87	10	have	have	AUX
cana-2870	87	11	appeared	appear	VERB
cana-2870	87	12	recently	recently	ADV
cana-2870	87	13	.	.	PUNCT
cana-2870	88	1	the	the	DET
cana-2870	88	2	authors	author	NOUN
cana-2870	88	3	of	of	ADP
cana-2870	88	4	[	[	X
cana-2870	88	5	17	17	NUM
cana-2870	88	6	]	]	PUNCT
cana-2870	88	7	created	create	VERB
cana-2870	88	8	a	a	DET
cana-2870	88	9	two	two	NUM
cana-2870	88	10	-	-	PUNCT
cana-2870	88	11	stage	stage	NOUN
cana-2870	88	12	method	method	NOUN
cana-2870	88	13	for	for	ADP
cana-2870	88	14	forecasting	forecast	VERB
cana-2870	88	15	bitcoin	bitcoin	ADJ
cana-2870	88	16	values	value	NOUN
cana-2870	88	17	.	.	PUNCT
cana-2870	89	1	initially	initially	ADV
cana-2870	89	2	,	,	PUNCT
cana-2870	89	3	they	they	PRON
cana-2870	89	4	used	use	VERB
cana-2870	89	5	ann	ann	PROPN
cana-2870	89	6	and	and	CCONJ
cana-2870	89	7	rf	rf	VERB
cana-2870	89	8	to	to	PART
cana-2870	89	9	identify	identify	VERB
cana-2870	89	10	the	the	DET
cana-2870	89	11	elements	element	NOUN
cana-2870	89	12	that	that	PRON
cana-2870	89	13	were	be	AUX
cana-2870	89	14	essential	essential	ADJ
cana-2870	89	15	for	for	ADP
cana-2870	89	16	prediction	prediction	NOUN
cana-2870	89	17	.	.	PUNCT
cana-2870	90	1	subsequently	subsequently	ADV
cana-2870	90	2	,	,	PUNCT
cana-2870	90	3	they	they	PRON
cana-2870	90	4	utilized	utilize	VERB
cana-2870	90	5	an	an	DET
cana-2870	90	6	lstm	lstm	NOUN
cana-2870	90	7	model	model	NOUN
cana-2870	90	8	using	use	VERB
cana-2870	90	9	the	the	DET
cana-2870	90	10	features	feature	NOUN
cana-2870	90	11	that	that	PRON
cana-2870	90	12	were	be	AUX
cana-2870	90	13	identified	identify	VERB
cana-2870	90	14	.	.	PUNCT
cana-2870	91	1	lstm	lstm	PROPN
cana-2870	91	2	outscored	outscore	VERB
cana-2870	91	3	arima	arima	NOUN
cana-2870	91	4	and	and	CCONJ
cana-2870	91	5	svm	svm	PROPN
cana-2870	91	6	.	.	PROPN
cana-2870	91	7	lstm	lstm	PROPN
cana-2870	91	8	and	and	CCONJ
cana-2870	91	9	gru	gru	PROPN
cana-2870	91	10	networks	network	NOUN
cana-2870	91	11	predicted	predict	VERB
cana-2870	91	12	ltc	ltc	NOUN
cana-2870	91	13	and	and	CCONJ
cana-2870	91	14	monero	monero	NOUN
cana-2870	91	15	prices	price	NOUN
cana-2870	91	16	in	in	ADP
cana-2870	91	17	another	another	DET
cana-2870	91	18	research	research	NOUN
cana-2870	92	1	[	[	X
cana-2870	92	2	18	18	NUM
cana-2870	92	3	]	]	PUNCT
cana-2870	92	4	.	.	PUNCT
cana-2870	93	1	hybrid	hybrid	ADJ
cana-2870	93	2	model	model	NOUN
cana-2870	93	3	predicted	predict	VERB
cana-2870	93	4	bitcoin	bitcoin	ADJ
cana-2870	93	5	values	value	NOUN
cana-2870	93	6	better	well	ADV
cana-2870	93	7	than	than	ADP
cana-2870	93	8	lstm	lstm	VERB
cana-2870	93	9	-	-	PUNCT
cana-2870	93	10	only	only	ADV
cana-2870	93	11	.	.	PUNCT
cana-2870	94	1	another	another	DET
cana-2870	94	2	study	study	NOUN
cana-2870	94	3	used	use	VERB
cana-2870	94	4	ar	ar	NOUN
cana-2870	94	5	features	feature	NOUN
cana-2870	94	6	in	in	ADP
cana-2870	94	7	an	an	DET
cana-2870	94	8	lstm	lstm	ADJ
cana-2870	94	9	network	network	NOUN
cana-2870	94	10	to	to	PART
cana-2870	94	11	anticipate	anticipate	VERB
cana-2870	94	12	daily	daily	ADJ
cana-2870	94	13	btc	btc	ADJ
cana-2870	94	14	prices	price	NOUN
cana-2870	94	15	[	[	X
cana-2870	94	16	19	19	NUM
cana-2870	94	17	]	]	PUNCT
cana-2870	94	18	.	.	PUNCT
cana-2870	95	1	rmse	rmse	PROPN
cana-2870	95	2	,	,	PUNCT
cana-2870	95	3	mape	mape	PROPN
cana-2870	95	4	,	,	PUNCT
cana-2870	95	5	mse	mse	PROPN
cana-2870	95	6	and	and	CCONJ
cana-2870	95	7	mae	mae	PROPN
cana-2870	95	8	were	be	AUX
cana-2870	95	9	lower	low	ADJ
cana-2870	95	10	in	in	ADP
cana-2870	95	11	the	the	DET
cana-2870	95	12	recommended	recommend	VERB
cana-2870	95	13	lstm	lstm	ADJ
cana-2870	95	14	-	-	PUNCT
cana-2870	95	15	ar	ar	NOUN
cana-2870	95	16	model	model	NOUN
cana-2870	95	17	than	than	ADP
cana-2870	95	18	in	in	ADP
cana-2870	95	19	a	a	DET
cana-2870	95	20	normal	normal	ADJ
cana-2870	95	21	lstm	lstm	NOUN
cana-2870	95	22	model	model	NOUN
cana-2870	95	23	.	.	PUNCT
cana-2870	96	1	the	the	DET
cana-2870	96	2	study	study	NOUN
cana-2870	96	3	[	[	X
cana-2870	96	4	20	20	NUM
cana-2870	96	5	]	]	PUNCT
cana-2870	96	6	uses	use	VERB
cana-2870	96	7	ensemble	ensemble	ADJ
cana-2870	96	8	learning	learning	NOUN
cana-2870	96	9	,	,	PUNCT
cana-2870	96	10	lstm	lstm	ADJ
cana-2870	96	11	,	,	PUNCT
cana-2870	96	12	bi	bi	NOUN
cana-2870	96	13	-	-	NOUN
cana-2870	96	14	lstm	lstm	ADJ
cana-2870	96	15	,	,	PUNCT
cana-2870	96	16	and	and	CCONJ
cana-2870	96	17	cnn	cnn	PROPN
cana-2870	96	18	to	to	PART
cana-2870	96	19	make	make	VERB
cana-2870	96	20	hourly	hourly	ADJ
cana-2870	96	21	predictions	prediction	NOUN
cana-2870	96	22	of	of	ADP
cana-2870	96	23	coin	coin	NOUN
cana-2870	96	24	prices	price	NOUN
cana-2870	96	25	that	that	PRON
cana-2870	96	26	are	be	AUX
cana-2870	96	27	correct	correct	ADJ
cana-2870	96	28	and	and	CCONJ
cana-2870	96	29	reliable	reliable	ADJ
cana-2870	96	30	.	.	PUNCT
cana-2870	97	1	using	use	VERB
cana-2870	97	2	random	random	ADJ
cana-2870	97	3	forest	forest	NOUN
cana-2870	97	4	(	(	PUNCT
cana-2870	97	5	rf	rf	NOUN
cana-2870	97	6	)	)	PUNCT
cana-2870	97	7	and	and	CCONJ
cana-2870	97	8	gradient	gradient	ADJ
cana-2870	97	9	boosting	boost	VERB
cana-2870	97	10	machine	machine	NOUN
cana-2870	97	11	(	(	PUNCT
cana-2870	97	12	gbm	gbm	PROPN
cana-2870	97	13	)	)	PUNCT
cana-2870	97	14	,	,	PUNCT
cana-2870	97	15	the	the	DET
cana-2870	97	16	study	study	NOUN
cana-2870	97	17	[	[	PUNCT
cana-2870	97	18	21	21	NUM
cana-2870	97	19	]	]	PUNCT
cana-2870	97	20	estimates	estimate	VERB
cana-2870	97	21	short	short	ADJ
cana-2870	97	22	-	-	PUNCT
cana-2870	97	23	term	term	NOUN
cana-2870	97	24	bitcoin	bitcoin	NOUN
cana-2870	97	25	values	value	NOUN
cana-2870	97	26	based	base	VERB
cana-2870	97	27	on	on	ADP
cana-2870	97	28	past	past	ADJ
cana-2870	97	29	prices	price	NOUN
cana-2870	97	30	and	and	CCONJ
cana-2870	97	31	technical	technical	ADJ
cana-2870	97	32	data	datum	NOUN
cana-2870	97	33	.	.	PUNCT
cana-2870	98	1	both	both	DET
cana-2870	98	2	models	model	NOUN
cana-2870	98	3	exhibited	exhibit	VERB
cana-2870	98	4	identical	identical	ADJ
cana-2870	98	5	accuracy	accuracy	NOUN
cana-2870	98	6	when	when	SCONJ
cana-2870	98	7	evaluated	evaluate	VERB
cana-2870	98	8	on	on	ADP
cana-2870	98	9	bitcoin	bitcoin	NOUN
cana-2870	98	10	,	,	PUNCT
cana-2870	98	11	eth	eth	NOUN
cana-2870	98	12	,	,	PUNCT
cana-2870	98	13	and	and	CCONJ
cana-2870	98	14	xrp	xrp	PROPN
cana-2870	98	15	;	;	PUNCT
cana-2870	98	16	gbm	gbm	PROPN
cana-2870	98	17	somewhat	somewhat	ADV
cana-2870	98	18	outperformed	outperform	VERB
cana-2870	98	19	rf	rf	NOUN
cana-2870	98	20	in	in	ADP
cana-2870	98	21	mape	mape	NOUN
cana-2870	98	22	and	and	CCONJ
cana-2870	98	23	rmse	rmse	NOUN
cana-2870	98	24	.	.	PUNCT
cana-2870	99	1	these	these	DET
cana-2870	99	2	models	model	NOUN
cana-2870	99	3	show	show	VERB
cana-2870	99	4	the	the	DET
cana-2870	99	5	possibilities	possibility	NOUN
cana-2870	99	6	for	for	ADP
cana-2870	99	7	automated	automate	VERB
cana-2870	99	8	trading	trading	NOUN
cana-2870	99	9	systems	system	NOUN
cana-2870	99	10	.	.	PUNCT
cana-2870	100	1	a	a	DET
cana-2870	100	2	wamc	wamc	NOUN
cana-2870	100	3	was	be	AUX
cana-2870	100	4	used	use	VERB
cana-2870	100	5	to	to	PART
cana-2870	100	6	enhance	enhance	VERB
cana-2870	100	7	bitcoin	bitcoin	NOUN
cana-2870	100	8	price	price	NOUN
cana-2870	100	9	prediction	prediction	NOUN
cana-2870	100	10	in	in	ADP
cana-2870	100	11	reference	reference	NOUN
cana-2870	100	12	[	[	X
cana-2870	100	13	22	22	NUM
cana-2870	100	14	]	]	PUNCT
cana-2870	100	15	.	.	PUNCT
cana-2870	101	1	3	3	X
cana-2870	101	2	.	.	X
cana-2870	101	3	materials	material	NOUN
cana-2870	101	4	and	and	CCONJ
cana-2870	101	5	methods	method	NOUN
cana-2870	101	6	addresses	address	NOUN
cana-2870	101	7	research	research	VERB
cana-2870	101	8	pre	pre	ADJ
cana-2870	101	9	-	-	ADJ
cana-2870	101	10	processing	process	VERB
cana-2870	101	11	and	and	CCONJ
cana-2870	101	12	modeling	model	VERB
cana-2870	101	13	techniques	technique	NOUN
cana-2870	101	14	.	.	PUNCT
cana-2870	102	1	prediction	prediction	NOUN
cana-2870	102	2	graphs	graph	NOUN
cana-2870	102	3	for	for	ADP
cana-2870	102	4	several	several	ADJ
cana-2870	102	5	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	102	6	are	be	AUX
cana-2870	102	7	shown	show	VERB
cana-2870	102	8	.	.	PUNCT
cana-2870	103	1	finally	finally	ADV
cana-2870	103	2	,	,	PUNCT
cana-2870	103	3	we	we	PRON
cana-2870	103	4	examine	examine	VERB
cana-2870	103	5	the	the	DET
cana-2870	103	6	study	study	NOUN
cana-2870	103	7	's	's	PART
cana-2870	103	8	performance	performance	NOUN
cana-2870	103	9	and	and	CCONJ
cana-2870	103	10	analysis	analysis	NOUN
cana-2870	103	11	.	.	PUNCT
cana-2870	104	1	this	this	DET
cana-2870	104	2	research	research	NOUN
cana-2870	104	3	estimates	estimate	VERB
cana-2870	104	4	btc	btc	NOUN
cana-2870	104	5	,	,	PUNCT
cana-2870	104	6	eth	eth	NOUN
cana-2870	104	7	,	,	PUNCT
cana-2870	104	8	and	and	CCONJ
cana-2870	104	9	bnb	bnb	NOUN
cana-2870	104	10	prices	price	NOUN
cana-2870	104	11	using	use	VERB
cana-2870	104	12	lstm	lstm	NOUN
cana-2870	104	13	,	,	PUNCT
cana-2870	104	14	bi	bi	NOUN
cana-2870	104	15	-	-	ADJ
cana-2870	104	16	lstm	lstm	ADJ
cana-2870	104	17	,	,	PUNCT
cana-2870	104	18	and	and	CCONJ
cana-2870	104	19	gru	gru	PROPN
cana-2870	104	20	.	.	PROPN
cana-2870	104	21	historical	historical	ADJ
cana-2870	104	22	data	datum	NOUN
cana-2870	104	23	for	for	ADP
cana-2870	104	24	btc	btc	NOUN
cana-2870	104	25	,	,	PUNCT
cana-2870	104	26	eth	eth	NOUN
cana-2870	104	27	,	,	PUNCT
cana-2870	104	28	and	and	CCONJ
cana-2870	104	29	bnb	bnb	NOUN
cana-2870	104	30	is	be	AUX
cana-2870	104	31	collected	collect	VERB
cana-2870	104	32	,	,	PUNCT
cana-2870	104	33	divided	divide	VERB
cana-2870	104	34	into	into	ADP
cana-2870	104	35	training	training	NOUN
cana-2870	104	36	and	and	CCONJ
cana-2870	104	37	testing	testing	NOUN
cana-2870	104	38	datasets	dataset	NOUN
cana-2870	104	39	,	,	PUNCT
cana-2870	104	40	and	and	CCONJ
cana-2870	104	41	three	three	NUM
cana-2870	104	42	models	model	NOUN
cana-2870	104	43	are	be	AUX
cana-2870	104	44	trained	train	VERB
cana-2870	104	45	,	,	PUNCT
cana-2870	104	46	tested	test	VERB
cana-2870	104	47	,	,	PUNCT
cana-2870	104	48	and	and	CCONJ
cana-2870	104	49	compared	compare	VERB
cana-2870	104	50	to	to	PART
cana-2870	104	51	assess	assess	VERB
cana-2870	104	52	each	each	DET
cana-2870	104	53	dl	dl	PROPN
cana-2870	104	54	approach	approach	NOUN
cana-2870	104	55	.	.	PUNCT
cana-2870	105	1	3.1	3.1	NUM
cana-2870	105	2	.	.	PUNCT
cana-2870	106	1	dataset	dataset	NOUN
cana-2870	106	2	:	:	PUNCT
cana-2870	106	3	the	the	DET
cana-2870	106	4	data	datum	NOUN
cana-2870	106	5	set	set	VERB
cana-2870	106	6	was	be	AUX
cana-2870	106	7	obtained	obtain	VERB
cana-2870	106	8	from	from	ADP
cana-2870	106	9	web	web	NOUN
cana-2870	106	10	site	site	NOUN
cana-2870	106	11	:	:	PUNCT
cana-2870	106	12	https://finance.yahoo.com	https://finance.yahoo.com	X
cana-2870	106	13	.	.	PUNCT
cana-2870	107	1	the	the	DET
cana-2870	107	2	dataset	dataset	NOUN
cana-2870	107	3	included	include	VERB
cana-2870	107	4	four	four	NUM
cana-2870	107	5	columns	column	NOUN
cana-2870	107	6	:	:	PUNCT
cana-2870	107	7	date	date	NOUN
cana-2870	107	8	,	,	PUNCT
cana-2870	107	9	btc	btc	NOUN
cana-2870	107	10	-	-	PUNCT
cana-2870	107	11	close	close	NOUN
cana-2870	107	12	,	,	PUNCT
cana-2870	107	13	eth	eth	NOUN
cana-2870	107	14	-	-	PUNCT
cana-2870	107	15	close	close	NOUN
cana-2870	107	16	,	,	PUNCT
cana-2870	107	17	and	and	CCONJ
cana-2870	107	18	bnb	bnb	NOUN
cana-2870	107	19	-	-	PUNCT
cana-2870	107	20	close	close	NOUN
cana-2870	107	21	.	.	PUNCT
cana-2870	108	1	we	we	PRON
cana-2870	108	2	chose	choose	VERB
cana-2870	108	3	close	close	ADJ
cana-2870	108	4	price	price	NOUN
cana-2870	108	5	to	to	ADP
cana-2870	108	6	https://finance.yahoo.com/	https://finance.yahoo.com/	NOUN
cana-2870	108	7	communications	communication	NOUN
cana-2870	108	8	on	on	ADP
cana-2870	108	9	applied	apply	VERB
cana-2870	108	10	nonlinear	nonlinear	ADJ
cana-2870	108	11	analysis	analysis	NOUN
cana-2870	108	12	issn	issn	NOUN
cana-2870	108	13	:	:	PUNCT
cana-2870	108	14	1074	1074	NUM
cana-2870	108	15	-	-	PUNCT
cana-2870	108	16	133x	133x	NUM
cana-2870	108	17	vol	vol	NOUN
cana-2870	108	18	32	32	NUM
cana-2870	108	19	no	no	NOUN
cana-2870	108	20	.	.	PUNCT
cana-2870	109	1	4s	4s	NUM
cana-2870	109	2	(	(	PUNCT
cana-2870	109	3	2025	2025	NUM
cana-2870	109	4	)	)	PUNCT
cana-2870	109	5	540	540	NUM
cana-2870	109	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	109	7	predict	predict	VERB
cana-2870	109	8	with	with	ADP
cana-2870	109	9	deep	deep	ADJ
cana-2870	109	10	learning	learning	NOUN
cana-2870	109	11	models	model	NOUN
cana-2870	109	12	.	.	PUNCT
cana-2870	110	1	table	table	NOUN
cana-2870	110	2	1	1	NUM
cana-2870	110	3	represents	represent	VERB
cana-2870	110	4	dataset	dataset	ADJ
cana-2870	110	5	specifications	specification	NOUN
cana-2870	110	6	,	,	PUNCT
cana-2870	110	7	whereas	whereas	SCONJ
cana-2870	110	8	table	table	NOUN
cana-2870	110	9	2	2	NUM
cana-2870	110	10	shows	show	VERB
cana-2870	110	11	a	a	DET
cana-2870	110	12	few	few	ADJ
cana-2870	110	13	data	data	NOUN
cana-2870	110	14	points	point	NOUN
cana-2870	110	15	from	from	ADP
cana-2870	110	16	the	the	DET
cana-2870	110	17	study	study	NOUN
cana-2870	110	18	's	's	PART
cana-2870	110	19	targeted	target	VERB
cana-2870	110	20	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	110	21	.	.	PUNCT
cana-2870	111	1	table	table	NOUN
cana-2870	111	2	1	1	NUM
cana-2870	111	3	.	.	PUNCT
cana-2870	112	1	specifications	specification	NOUN
cana-2870	112	2	of	of	ADP
cana-2870	112	3	dataset	dataset	ADJ
cana-2870	112	4	parameters	parameter	NOUN
cana-2870	112	5	of	of	ADP
cana-2870	112	6	data	datum	NOUN
cana-2870	112	7	set	set	VERB
cana-2870	112	8	data	datum	NOUN
cana-2870	112	9	description	description	NOUN
cana-2870	112	10	type	type	NOUN
cana-2870	112	11	of	of	ADP
cana-2870	112	12	data	datum	NOUN
cana-2870	112	13	date	date	NOUN
cana-2870	112	14	date	date	NOUN
cana-2870	112	15	of	of	ADP
cana-2870	112	16	the	the	DET
cana-2870	112	17	data	datum	NOUN
cana-2870	112	18	date	date	NOUN
cana-2870	112	19	open	open	ADJ
cana-2870	112	20	price	price	NOUN
cana-2870	112	21	opening	opening	NOUN
cana-2870	112	22	price	price	NOUN
cana-2870	112	23	numeric	numeric	ADP
cana-2870	112	24	high	high	ADJ
cana-2870	112	25	high	high	ADJ
cana-2870	112	26	numeric	numeric	ADP
cana-2870	112	27	low	low	ADJ
cana-2870	112	28	low	low	ADJ
cana-2870	112	29	numeric	numeric	ADJ
cana-2870	112	30	close	close	ADJ
cana-2870	112	31	close	close	ADV
cana-2870	112	32	numeric	numeric	ADJ
cana-2870	112	33	adj	adj	PROPN
cana-2870	112	34	close	close	ADJ
cana-2870	112	35	adjusted	adjust	VERB
cana-2870	112	36	close	close	ADV
cana-2870	112	37	numeric	numeric	ADP
cana-2870	112	38	this	this	DET
cana-2870	112	39	research	research	NOUN
cana-2870	112	40	introduces	introduce	VERB
cana-2870	112	41	a	a	DET
cana-2870	112	42	four	four	NUM
cana-2870	112	43	-	-	PUNCT
cana-2870	112	44	layer	layer	NOUN
cana-2870	112	45	network	network	NOUN
cana-2870	112	46	design	design	NOUN
cana-2870	112	47	for	for	ADP
cana-2870	112	48	each	each	DET
cana-2870	112	49	deep	deep	ADJ
cana-2870	112	50	learning	learning	NOUN
cana-2870	112	51	model	model	NOUN
cana-2870	112	52	,	,	PUNCT
cana-2870	112	53	comprising	comprise	VERB
cana-2870	112	54	deep	deep	ADJ
cana-2870	112	55	learning	learning	NOUN
cana-2870	112	56	layers	layer	NOUN
cana-2870	112	57	with	with	ADP
cana-2870	112	58	200	200	NUM
cana-2870	112	59	neurons	neuron	NOUN
cana-2870	112	60	.	.	PUNCT
cana-2870	113	1	figure	figure	NOUN
cana-2870	113	2	1	1	NUM
cana-2870	113	3	depicts	depict	VERB
cana-2870	113	4	the	the	DET
cana-2870	113	5	pre	pre	ADJ
cana-2870	113	6	-	-	ADJ
cana-2870	113	7	processing	processing	ADJ
cana-2870	113	8	techniques	technique	NOUN
cana-2870	113	9	utilized	utilize	VERB
cana-2870	113	10	on	on	ADP
cana-2870	113	11	the	the	DET
cana-2870	113	12	dataset	dataset	NOUN
cana-2870	113	13	.	.	PUNCT
cana-2870	114	1	we	we	PRON
cana-2870	114	2	employed	employ	VERB
cana-2870	114	3	many	many	ADJ
cana-2870	114	4	preprocessing	preprocessing	NOUN
cana-2870	114	5	approaches	approach	NOUN
cana-2870	114	6	on	on	ADP
cana-2870	114	7	the	the	DET
cana-2870	114	8	btc	btc	NOUN
cana-2870	114	9	,	,	PUNCT
cana-2870	114	10	eth	eth	NOUN
cana-2870	114	11	,	,	PUNCT
cana-2870	114	12	and	and	CCONJ
cana-2870	114	13	bnb	bnb	NOUN
cana-2870	114	14	datasets	dataset	NOUN
cana-2870	114	15	to	to	PART
cana-2870	114	16	ready	ready	VERB
cana-2870	114	17	them	they	PRON
cana-2870	114	18	for	for	ADP
cana-2870	114	19	deep	deep	ADJ
cana-2870	114	20	learning	learning	NOUN
cana-2870	114	21	research	research	NOUN
cana-2870	114	22	.	.	PUNCT
cana-2870	115	1	after	after	ADP
cana-2870	115	2	employing	employ	VERB
cana-2870	115	3	data	data	NOUN
cana-2870	115	4	imputation	imputation	NOUN
cana-2870	115	5	for	for	ADP
cana-2870	115	6	removing	remove	VERB
cana-2870	115	7	missing	missing	ADJ
cana-2870	115	8	values	value	NOUN
cana-2870	115	9	,	,	PUNCT
cana-2870	115	10	we	we	PRON
cana-2870	115	11	modified	modify	VERB
cana-2870	115	12	the	the	DET
cana-2870	115	13	data	data	NOUN
cana-2870	115	14	format	format	NOUN
cana-2870	115	15	to	to	PART
cana-2870	115	16	ensure	ensure	VERB
cana-2870	115	17	compliance	compliance	NOUN
cana-2870	115	18	with	with	ADP
cana-2870	115	19	the	the	DET
cana-2870	115	20	implementation	implementation	NOUN
cana-2870	115	21	of	of	ADP
cana-2870	115	22	chosen	choose	VERB
cana-2870	115	23	models	model	NOUN
cana-2870	115	24	upon	upon	SCONJ
cana-2870	115	25	analyzing	analyze	VERB
cana-2870	115	26	the	the	DET
cana-2870	115	27	dataset	dataset	NOUN
cana-2870	115	28	,	,	PUNCT
cana-2870	115	29	we	we	PRON
cana-2870	115	30	found	find	VERB
cana-2870	115	31	no	no	DET
cana-2870	115	32	missing	miss	VERB
cana-2870	115	33	values	value	NOUN
cana-2870	115	34	.	.	PUNCT
cana-2870	116	1	normalization	normalization	NOUN
cana-2870	116	2	is	be	AUX
cana-2870	116	3	essential	essential	ADJ
cana-2870	116	4	for	for	ADP
cana-2870	116	5	ensuring	ensure	VERB
cana-2870	116	6	the	the	DET
cana-2870	116	7	precision	precision	NOUN
cana-2870	116	8	of	of	ADP
cana-2870	116	9	model	model	NOUN
cana-2870	116	10	fitting	fit	VERB
cana-2870	116	11	and	and	CCONJ
cana-2870	116	12	reducing	reduce	VERB
cana-2870	116	13	bias	bias	NOUN
cana-2870	116	14	.	.	PUNCT
cana-2870	117	1	to	to	PART
cana-2870	117	2	address	address	VERB
cana-2870	117	3	the	the	DET
cana-2870	117	4	possible	possible	ADJ
cana-2870	117	5	problem	problem	NOUN
cana-2870	117	6	of	of	ADP
cana-2870	117	7	disparate	disparate	ADJ
cana-2870	117	8	handling	handling	NOUN
cana-2870	117	9	of	of	ADP
cana-2870	117	10	variables	variable	NOUN
cana-2870	117	11	with	with	ADP
cana-2870	117	12	varying	vary	VERB
cana-2870	117	13	scales	scale	NOUN
cana-2870	117	14	,	,	PUNCT
cana-2870	117	15	we	we	PRON
cana-2870	117	16	employed	employ	VERB
cana-2870	117	17	feature	feature	NOUN
cana-2870	117	18	-	-	PUNCT
cana-2870	117	19	wise	wise	ADJ
cana-2870	117	20	normalization	normalization	NOUN
cana-2870	117	21	methods	method	NOUN
cana-2870	117	22	such	such	ADJ
cana-2870	117	23	as	as	ADP
cana-2870	117	24	minmax	minmax	X
cana-2870	117	25	scaling	scaling	NOUN
cana-2870	117	26	before	before	ADP
cana-2870	117	27	fitting	fit	VERB
cana-2870	117	28	the	the	DET
cana-2870	117	29	model	model	NOUN
cana-2870	117	30	.	.	PUNCT
cana-2870	118	1	a	a	DET
cana-2870	118	2	study	study	NOUN
cana-2870	118	3	conducted	conduct	VERB
cana-2870	118	4	recently	recently	ADV
cana-2870	118	5	has	have	AUX
cana-2870	118	6	demonstrated	demonstrate	VERB
cana-2870	118	7	that	that	SCONJ
cana-2870	118	8	implementing	implement	VERB
cana-2870	118	9	data	datum	NOUN
cana-2870	118	10	scaling	scale	VERB
cana-2870	118	11	techniques	technique	NOUN
cana-2870	118	12	can	can	AUX
cana-2870	118	13	enhance	enhance	VERB
cana-2870	118	14	the	the	DET
cana-2870	118	15	efficiency	efficiency	NOUN
cana-2870	118	16	of	of	ADP
cana-2870	118	17	models	model	NOUN
cana-2870	118	18	[	[	X
cana-2870	118	19	23	23	NUM
cana-2870	118	20	]	]	PUNCT
cana-2870	118	21	.	.	PUNCT
cana-2870	119	1	hence	hence	ADV
cana-2870	119	2	,	,	PUNCT
cana-2870	119	3	in	in	ADP
cana-2870	119	4	our	our	PRON
cana-2870	119	5	inquiry	inquiry	NOUN
cana-2870	119	6	,	,	PUNCT
cana-2870	119	7	we	we	PRON
cana-2870	119	8	employed	employ	VERB
cana-2870	119	9	minmax	minmax	PROPN
cana-2870	119	10	scalar	scalar	NOUN
cana-2870	119	11	to	to	PART
cana-2870	119	12	standardize	standardize	VERB
cana-2870	119	13	the	the	DET
cana-2870	119	14	data	datum	NOUN
cana-2870	119	15	.	.	PUNCT
cana-2870	120	1	we	we	PRON
cana-2870	120	2	utilized	utilize	VERB
cana-2870	120	3	an	an	DET
cana-2870	120	4	80:20	80:20	NUM
cana-2870	120	5	training	training	NOUN
cana-2870	120	6	:	:	PUNCT
cana-2870	120	7	test	test	NOUN
cana-2870	120	8	split	split	VERB
cana-2870	120	9	methodology	methodology	NOUN
cana-2870	120	10	to	to	PART
cana-2870	120	11	ensure	ensure	VERB
cana-2870	120	12	the	the	DET
cana-2870	120	13	uniformity	uniformity	NOUN
cana-2870	120	14	of	of	ADP
cana-2870	120	15	attributes	attribute	NOUN
cana-2870	120	16	for	for	ADP
cana-2870	120	17	each	each	DET
cana-2870	120	18	cryptocurrency	cryptocurrency	NOUN
cana-2870	120	19	.	.	PUNCT
cana-2870	121	1	the	the	DET
cana-2870	121	2	training	training	NOUN
cana-2870	121	3	dataset	dataset	NOUN
cana-2870	121	4	covers	cover	VERB
cana-2870	121	5	the	the	DET
cana-2870	121	6	time	time	NOUN
cana-2870	121	7	period	period	NOUN
cana-2870	121	8	from	from	ADP
cana-2870	121	9	1	1	NUM
cana-2870	121	10	january	january	NOUN
cana-2870	121	11	2020	2020	NUM
cana-2870	121	12	to	to	ADP
cana-2870	121	13	31	31	NUM
cana-2870	121	14	december	december	PROPN
cana-2870	121	15	2023	2023	NUM
cana-2870	121	16	,	,	PUNCT
cana-2870	121	17	representing	represent	VERB
cana-2870	121	18	appropriatly80	appropriatly80	NOUN
cana-2870	121	19	%	%	NOUN
cana-2870	121	20	of	of	ADP
cana-2870	121	21	the	the	DET
cana-2870	121	22	available	available	ADJ
cana-2870	121	23	data	datum	NOUN
cana-2870	121	24	.	.	PUNCT
cana-2870	122	1	the	the	DET
cana-2870	122	2	testing	testing	NOUN
cana-2870	122	3	dataset	dataset	NOUN
cana-2870	122	4	comprises	comprise	NOUN
cana-2870	122	5	appropriately	appropriately	ADV
cana-2870	122	6	20	20	NUM
cana-2870	122	7	%	%	NOUN
cana-2870	122	8	of	of	ADP
cana-2870	122	9	the	the	DET
cana-2870	122	10	data	datum	NOUN
cana-2870	122	11	and	and	CCONJ
cana-2870	122	12	encompasses	encompass	VERB
cana-2870	122	13	the	the	DET
cana-2870	122	14	period	period	NOUN
cana-2870	122	15	from	from	ADP
cana-2870	122	16	1	1	NUM
cana-2870	122	17	january	january	NOUN
cana-2870	122	18	2024	2024	NUM
cana-2870	122	19	to	to	ADP
cana-2870	122	20	30	30	NUM
cana-2870	122	21	june	june	PROPN
cana-2870	122	22	2024	2024	NUM
cana-2870	122	23	.	.	PUNCT
cana-2870	123	1	daily	daily	ADJ
cana-2870	123	2	closing	closing	NOUN
cana-2870	123	3	prices	price	NOUN
cana-2870	123	4	of	of	ADP
cana-2870	123	5	btc	btc	NOUN
cana-2870	123	6	,	,	PUNCT
cana-2870	123	7	eth	eth	NOUN
cana-2870	123	8	,	,	PUNCT
cana-2870	123	9	and	and	CCONJ
cana-2870	123	10	bnb	bnb	NOUN
cana-2870	123	11	are	be	AUX
cana-2870	123	12	shown	show	VERB
cana-2870	123	13	in	in	ADP
cana-2870	123	14	figures	figure	NOUN
cana-2870	123	15	2–4	2–4	NUM
cana-2870	123	16	for	for	ADP
cana-2870	123	17	training	training	NOUN
cana-2870	123	18	and	and	CCONJ
cana-2870	123	19	testing	testing	NOUN
cana-2870	123	20	datasets	dataset	NOUN
cana-2870	123	21	.	.	PUNCT
cana-2870	124	1	fig.1	fig.1	ADJ
cana-2870	124	2	processing	processing	NOUN
cana-2870	124	3	of	of	ADP
cana-2870	124	4	data	datum	NOUN
cana-2870	124	5	set	set	VERB
cana-2870	124	6	and	and	CCONJ
cana-2870	124	7	model	model	NOUN
cana-2870	124	8	selection	selection	NOUN
cana-2870	124	9	communications	communication	NOUN
cana-2870	124	10	on	on	ADP
cana-2870	124	11	applied	apply	VERB
cana-2870	124	12	nonlinear	nonlinear	ADJ
cana-2870	124	13	analysis	analysis	NOUN
cana-2870	124	14	issn	issn	NOUN
cana-2870	124	15	:	:	PUNCT
cana-2870	124	16	1074	1074	NUM
cana-2870	124	17	-	-	PUNCT
cana-2870	124	18	133x	133x	NUM
cana-2870	124	19	vol	vol	NOUN
cana-2870	124	20	32	32	NUM
cana-2870	124	21	no	no	NOUN
cana-2870	124	22	.	.	PUNCT
cana-2870	125	1	4s	4s	NUM
cana-2870	125	2	(	(	PUNCT
cana-2870	125	3	2025	2025	NUM
cana-2870	125	4	)	)	PUNCT
cana-2870	125	5	541	541	NUM
cana-2870	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	125	7	fig.2	fig.2	PROPN
cana-2870	125	8	train	train	NOUN
cana-2870	125	9	and	and	CCONJ
cana-2870	125	10	testdata	testdata	VERB
cana-2870	125	11	set	set	NOUN
cana-2870	125	12	of	of	ADP
cana-2870	125	13	btc	btc	PROPN
cana-2870	125	14	.	.	PUNCT
cana-2870	126	1	figure	figure	NOUN
cana-2870	126	2	2	2	NUM
cana-2870	126	3	shows	show	VERB
cana-2870	126	4	the	the	DET
cana-2870	126	5	selected	select	VERB
cana-2870	126	6	data	datum	NOUN
cana-2870	126	7	on	on	ADP
cana-2870	126	8	the	the	DET
cana-2870	126	9	bitcoin	bitcoin	ADJ
cana-2870	126	10	(	(	PUNCT
cana-2870	126	11	btc	btc	ADJ
cana-2870	126	12	)	)	PUNCT
cana-2870	126	13	closing	closing	NOUN
cana-2870	126	14	price	price	NOUN
cana-2870	126	15	.	.	PUNCT
cana-2870	127	1	the	the	DET
cana-2870	127	2	closing	closing	NOUN
cana-2870	127	3	price	price	NOUN
cana-2870	127	4	increased	increase	VERB
cana-2870	127	5	progressively	progressively	ADV
cana-2870	127	6	until	until	ADP
cana-2870	127	7	2021	2021	NUM
cana-2870	127	8	,	,	PUNCT
cana-2870	127	9	when	when	SCONJ
cana-2870	127	10	it	it	PRON
cana-2870	127	11	suddenly	suddenly	ADV
cana-2870	127	12	climbed	climb	VERB
cana-2870	127	13	to	to	ADP
cana-2870	127	14	67566.8281	67566.8281	NUM
cana-2870	127	15	usd	usd	NOUN
cana-2870	127	16	at	at	ADP
cana-2870	127	17	its	its	PRON
cana-2870	127	18	time	time	NOUN
cana-2870	127	19	series	series	PROPN
cana-2870	127	20	peak	peak	PROPN
cana-2870	127	21	.	.	PUNCT
cana-2870	128	1	fig.3	fig.3	PROPN
cana-2870	128	2	train	train	NOUN
cana-2870	128	3	and	and	CCONJ
cana-2870	128	4	test	test	NOUN
cana-2870	128	5	–	–	PUNCT
cana-2870	128	6	data	datum	NOUN
cana-2870	128	7	set	set	VERB
cana-2870	128	8	of	of	ADP
cana-2870	128	9	eth	eth	PROPN
cana-2870	128	10	figure	figure	NOUN
cana-2870	128	11	3	3	NUM
cana-2870	128	12	shows	show	VERB
cana-2870	128	13	the	the	DET
cana-2870	128	14	selected	select	VERB
cana-2870	128	15	data	datum	NOUN
cana-2870	128	16	on	on	ADP
cana-2870	128	17	the	the	DET
cana-2870	128	18	ethereum	ethereum	NOUN
cana-2870	128	19	(	(	PUNCT
cana-2870	128	20	eth	eth	NOUN
cana-2870	128	21	)	)	PUNCT
cana-2870	128	22	closing	closing	NOUN
cana-2870	128	23	price	price	NOUN
cana-2870	128	24	.	.	PUNCT
cana-2870	129	1	the	the	DET
cana-2870	129	2	closing	closing	NOUN
cana-2870	129	3	price	price	NOUN
cana-2870	129	4	increased	increase	VERB
cana-2870	129	5	progressively	progressively	ADV
cana-2870	129	6	until	until	ADP
cana-2870	129	7	2021	2021	NUM
cana-2870	129	8	,	,	PUNCT
cana-2870	129	9	when	when	SCONJ
cana-2870	129	10	it	it	PRON
cana-2870	129	11	suddenly	suddenly	ADV
cana-2870	129	12	climbed	climb	VERB
cana-2870	129	13	to	to	ADP
cana-2870	129	14	4812.0874	4812.0874	PROPN
cana-2870	129	15	usd	usd	NOUN
cana-2870	129	16	at	at	ADP
cana-2870	129	17	its	its	PRON
cana-2870	129	18	time	time	NOUN
cana-2870	129	19	series	series	PROPN
cana-2870	129	20	peak	peak	PROPN
cana-2870	129	21	.	.	PUNCT
cana-2870	130	1	fig.4	fig.4	PROPN
cana-2870	130	2	train	train	NOUN
cana-2870	130	3	and	and	CCONJ
cana-2870	130	4	testdata	testdata	VERB
cana-2870	130	5	set	set	NOUN
cana-2870	130	6	of	of	ADP
cana-2870	130	7	bnb	bnb	PROPN
cana-2870	130	8	.	.	PUNCT
cana-2870	130	9	figure	figure	NOUN
cana-2870	130	10	4	4	NUM
cana-2870	130	11	shows	show	VERB
cana-2870	130	12	the	the	DET
cana-2870	130	13	bnb	bnb	NOUN
cana-2870	130	14	price	price	NOUN
cana-2870	130	15	at	at	ADP
cana-2870	130	16	the	the	DET
cana-2870	130	17	end	end	NOUN
cana-2870	130	18	of	of	ADP
cana-2870	130	19	the	the	DET
cana-2870	130	20	collection	collection	NOUN
cana-2870	130	21	.	.	PUNCT
cana-2870	131	1	it	it	PRON
cana-2870	131	2	shows	show	VERB
cana-2870	131	3	that	that	SCONJ
cana-2870	131	4	the	the	DET
cana-2870	131	5	closing	closing	NOUN
cana-2870	131	6	price	price	NOUN
cana-2870	131	7	went	go	VERB
cana-2870	131	8	up	up	ADP
cana-2870	131	9	slowly	slowly	ADV
cana-2870	131	10	until	until	ADP
cana-2870	131	11	the	the	DET
cana-2870	131	12	end	end	NOUN
cana-2870	131	13	of	of	ADP
cana-2870	131	14	2021	2021	NUM
cana-2870	131	15	.	.	PUNCT
cana-2870	132	1	after	after	ADP
cana-2870	132	2	that	that	PRON
cana-2870	132	3	,	,	PUNCT
cana-2870	132	4	it	it	PRON
cana-2870	132	5	went	go	VERB
cana-2870	132	6	up	up	ADP
cana-2870	132	7	quickly	quickly	ADV
cana-2870	132	8	and	and	CCONJ
cana-2870	132	9	reached	reach	VERB
cana-2870	132	10	a	a	DET
cana-2870	132	11	high	high	NOUN
cana-2870	132	12	of	of	ADP
cana-2870	132	13	675.6841	675.6841	NUM
cana-2870	132	14	usd	usd	NOUN
cana-2870	132	15	.	.	PUNCT
cana-2870	133	1	understanding	understand	VERB
cana-2870	133	2	the	the	DET
cana-2870	133	3	flow	flow	NOUN
cana-2870	133	4	of	of	ADP
cana-2870	133	5	data	datum	NOUN
cana-2870	133	6	and	and	CCONJ
cana-2870	133	7	activity	activity	NOUN
cana-2870	133	8	via	via	ADP
cana-2870	133	9	a	a	DET
cana-2870	133	10	reliable	reliable	ADJ
cana-2870	133	11	and	and	CCONJ
cana-2870	133	12	relevant	relevant	ADJ
cana-2870	133	13	chart	chart	NOUN
cana-2870	133	14	helps	help	VERB
cana-2870	133	15	communicate	communicate	VERB
cana-2870	133	16	its	its	PRON
cana-2870	133	17	meaning	meaning	NOUN
cana-2870	133	18	.	.	PUNCT
cana-2870	134	1	figure	figure	NOUN
cana-2870	134	2	5	5	NUM
cana-2870	134	3	shows	show	VERB
cana-2870	134	4	targeted	target	VERB
cana-2870	134	5	bitcoin	bitcoin	NOUN
cana-2870	134	6	,	,	PUNCT
cana-2870	134	7	ethereum	ethereum	NOUN
cana-2870	134	8	and	and	CCONJ
cana-2870	134	9	binance	binance	NOUN
cana-2870	134	10	distribution	distribution	NOUN
cana-2870	134	11	from	from	ADP
cana-2870	134	12	january	january	PROPN
cana-2870	134	13	1	1	NUM
cana-2870	134	14	,	,	PUNCT
cana-2870	134	15	2020	2020	NUM
cana-2870	134	16	,	,	PUNCT
cana-2870	134	17	to	to	ADP
cana-2870	134	18	june	june	PROPN
cana-2870	134	19	30	30	NUM
cana-2870	134	20	,	,	PUNCT
cana-2870	134	21	2024	2024	NUM
cana-2870	134	22	.	.	PUNCT
cana-2870	135	1	the	the	DET
cana-2870	135	2	closing	closing	NOUN
cana-2870	135	3	price	price	NOUN
cana-2870	135	4	determines	determine	VERB
cana-2870	135	5	the	the	DET
cana-2870	135	6	price	price	NOUN
cana-2870	135	7	rise	rise	NOUN
cana-2870	135	8	and	and	CCONJ
cana-2870	135	9	interval	interval	NOUN
cana-2870	135	10	.	.	PUNCT
cana-2870	136	1	fig	fig	NOUN
cana-2870	136	2	.	.	PUNCT
cana-2870	137	1	5	5	NUM
cana-2870	137	2	time	time	NOUN
cana-2870	137	3	series	series	NOUN
cana-2870	137	4	of	of	ADP
cana-2870	137	5	btc	btc	PROPN
cana-2870	137	6	,	,	PUNCT
cana-2870	137	7	eth	eth	NOUN
cana-2870	137	8	,	,	PUNCT
cana-2870	137	9	&	&	CCONJ
cana-2870	137	10	bnb	bnb	PROPN
cana-2870	137	11	closing	closing	NOUN
cana-2870	137	12	prices	price	NOUN
cana-2870	137	13	communications	communication	NOUN
cana-2870	137	14	on	on	ADP
cana-2870	137	15	applied	apply	VERB
cana-2870	137	16	nonlinear	nonlinear	ADJ
cana-2870	137	17	analysis	analysis	NOUN
cana-2870	137	18	issn	issn	NOUN
cana-2870	137	19	:	:	PUNCT
cana-2870	137	20	1074	1074	NUM
cana-2870	137	21	-	-	PUNCT
cana-2870	137	22	133x	133x	NUM
cana-2870	137	23	vol	vol	NOUN
cana-2870	137	24	32	32	NUM
cana-2870	137	25	no	no	NOUN
cana-2870	137	26	.	.	PUNCT
cana-2870	138	1	4s	4s	NUM
cana-2870	138	2	(	(	PUNCT
cana-2870	138	3	2025	2025	NUM
cana-2870	138	4	)	)	PUNCT
cana-2870	138	5	542	542	NUM
cana-2870	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	138	7	table	table	NOUN
cana-2870	138	8	2	2	NUM
cana-2870	138	9	:	:	PUNCT
cana-2870	138	10	displays	display	VERB
cana-2870	138	11	a	a	DET
cana-2870	138	12	few	few	ADJ
cana-2870	138	13	data	data	NOUN
cana-2870	138	14	points	point	NOUN
cana-2870	138	15	from	from	ADP
cana-2870	138	16	the	the	DET
cana-2870	138	17	btc	btc	NOUN
cana-2870	138	18	,	,	PUNCT
cana-2870	138	19	eth	eth	NOUN
cana-2870	138	20	,	,	PUNCT
cana-2870	138	21	and	and	CCONJ
cana-2870	138	22	bnb	bnb	NOUN
cana-2870	138	23	:	:	PUNCT
cana-2870	138	24	close	close	ADJ
cana-2870	138	25	prices	price	NOUN
cana-2870	138	26	.	.	PUNCT
cana-2870	139	1	date	date	NOUN
cana-2870	139	2	btc	btc	PROPN
cana-2870	139	3	eth	eth	PROPN
cana-2870	139	4	bnb	bnb	PROPN
cana-2870	139	5	1	1	PROPN
cana-2870	139	6	-	-	PUNCT
cana-2870	139	7	jan-20	jan-20	NOUN
cana-2870	139	8	7200.174	7200.174	PROPN
cana-2870	139	9	130.802	130.802	NUM
cana-2870	139	10	13.68908	13.68908	NUM
cana-2870	139	11	2	2	NUM
cana-2870	139	12	-	-	PUNCT
cana-2870	139	13	jan-20	jan-20	NOUN
cana-2870	139	14	6985.47	6985.47	NUM
cana-2870	139	15	127.4102	127.4102	NUM
cana-2870	139	16	13.02701	13.02701	NUM
cana-2870	139	17	3	3	NUM
cana-2870	139	18	-	-	PUNCT
cana-2870	139	19	jan-20	jan-20	NOUN
cana-2870	139	20	7344.884	7344.884	PROPN
cana-2870	140	1	134.1717	134.1717	NUM
cana-2870	140	2	13.66045	13.66045	NUM
cana-2870	140	3	4	4	NUM
cana-2870	140	4	-	-	PUNCT
cana-2870	140	5	jan-20	jan-20	NOUN
cana-2870	140	6	7410.657	7410.657	PROPN
cana-2870	140	7	135.0694	135.0694	PROPN
cana-2870	140	8	13.89151	13.89151	NUM
cana-2870	140	9	figure	figure	NOUN
cana-2870	140	10	6	6	NUM
cana-2870	140	11	shows	show	VERB
cana-2870	140	12	the	the	DET
cana-2870	140	13	chosen	choose	VERB
cana-2870	140	14	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	140	15	'	'	PART
cana-2870	140	16	pearson	pearson	NOUN
cana-2870	140	17	correlation	correlation	NOUN
cana-2870	140	18	coefficient	coefficient	NOUN
cana-2870	140	19	.	.	PUNCT
cana-2870	141	1	btc	btc	PROPN
cana-2870	141	2	,	,	PUNCT
cana-2870	141	3	bnb	bnb	NOUN
cana-2870	141	4	,	,	PUNCT
cana-2870	141	5	and	and	CCONJ
cana-2870	141	6	eth	eth	X
cana-2870	141	7	the	the	DET
cana-2870	141	8	closing	closing	NOUN
cana-2870	141	9	price	price	NOUN
cana-2870	141	10	are	be	AUX
cana-2870	141	11	positively	positively	ADV
cana-2870	141	12	correlated	correlate	VERB
cana-2870	141	13	via	via	ADP
cana-2870	141	14	the	the	DET
cana-2870	141	15	correlation	correlation	NOUN
cana-2870	141	16	matrix	matrix	NOUN
cana-2870	141	17	.	.	PUNCT
cana-2870	142	1	if	if	SCONJ
cana-2870	142	2	the	the	DET
cana-2870	142	3	value	value	NOUN
cana-2870	142	4	of	of	ADP
cana-2870	142	5	one	one	NUM
cana-2870	142	6	currency	currency	NOUN
cana-2870	142	7	changes	change	NOUN
cana-2870	142	8	,	,	PUNCT
cana-2870	142	9	so	so	ADV
cana-2870	142	10	will	will	AUX
cana-2870	142	11	the	the	DET
cana-2870	142	12	others	other	NOUN
cana-2870	142	13	.	.	PUNCT
cana-2870	143	1	fig.6	fig.6	PROPN
cana-2870	143	2	btc	btc	NOUN
cana-2870	143	3	,	,	PUNCT
cana-2870	143	4	bnb	bnb	NOUN
cana-2870	143	5	,	,	PUNCT
cana-2870	143	6	&	&	CCONJ
cana-2870	143	7	eth	eth	PROPN
cana-2870	143	8	correlations	correlation	NOUN
cana-2870	143	9	matrix	matrix	NOUN
cana-2870	143	10	.	.	PUNCT
cana-2870	144	1	3.2.deep	3.2.deep	NUM
cana-2870	144	2	leaning	lean	VERB
cana-2870	144	3	methods	method	NOUN
cana-2870	144	4	:	:	PUNCT
cana-2870	144	5	3.2.1	3.2.1	NUM
cana-2870	144	6	.	.	PUNCT
cana-2870	145	1	lstm	lstm	NOUN
cana-2870	145	2	:	:	PUNCT
cana-2870	145	3	lstm	lstm	NOUN
cana-2870	145	4	is	be	AUX
cana-2870	145	5	advanced	advanced	ADJ
cana-2870	145	6	rnn	rnn	NOUN
cana-2870	145	7	.	.	PUNCT
cana-2870	146	1	these	these	DET
cana-2870	146	2	approaches	approach	NOUN
cana-2870	146	3	are	be	AUX
cana-2870	146	4	designed	design	VERB
cana-2870	146	5	to	to	PART
cana-2870	146	6	prevent	prevent	VERB
cana-2870	146	7	long	long	ADJ
cana-2870	146	8	-	-	PUNCT
cana-2870	146	9	term	term	NOUN
cana-2870	146	10	reliance	reliance	NOUN
cana-2870	146	11	and	and	CCONJ
cana-2870	146	12	address	address	VERB
cana-2870	146	13	the	the	DET
cana-2870	146	14	vanishing	vanish	VERB
cana-2870	146	15	gradient	gradient	ADJ
cana-2870	146	16	problem	problem	NOUN
cana-2870	146	17	with	with	ADP
cana-2870	146	18	a	a	DET
cana-2870	146	19	system	system	NOUN
cana-2870	146	20	that	that	PRON
cana-2870	146	21	modulates	modulate	VERB
cana-2870	146	22	information	information	NOUN
cana-2870	146	23	for	for	ADP
cana-2870	146	24	long	long	ADJ
cana-2870	146	25	-	-	PUNCT
cana-2870	146	26	term	term	NOUN
cana-2870	146	27	storage	storage	NOUN
cana-2870	146	28	[	[	X
cana-2870	146	29	24	24	NUM
cana-2870	146	30	]	]	PUNCT
cana-2870	146	31	.	.	PUNCT
cana-2870	147	1	the	the	DET
cana-2870	147	2	lstm	lstm	ADJ
cana-2870	147	3	architecture	architecture	NOUN
cana-2870	147	4	comprises	comprise	NOUN
cana-2870	147	5	of	of	ADP
cana-2870	147	6	memory	memory	NOUN
cana-2870	147	7	blocks	block	NOUN
cana-2870	147	8	linked	link	VERB
cana-2870	147	9	by	by	ADP
cana-2870	147	10	recurrent	recurrent	ADJ
cana-2870	147	11	subnetworks	subnetwork	NOUN
cana-2870	147	12	.	.	PUNCT
cana-2870	148	1	memory	memory	NOUN
cana-2870	148	2	blocks	block	NOUN
cana-2870	148	3	maintain	maintain	VERB
cana-2870	148	4	the	the	DET
cana-2870	148	5	network	network	NOUN
cana-2870	148	6	's	's	PART
cana-2870	148	7	state	state	NOUN
cana-2870	148	8	and	and	CCONJ
cana-2870	148	9	manage	manage	VERB
cana-2870	148	10	cell	cell	NOUN
cana-2870	148	11	-	-	PUNCT
cana-2870	148	12	to	to	ADP
cana-2870	148	13	-	-	PUNCT
cana-2870	148	14	cell	cell	NOUN
cana-2870	148	15	communication	communication	NOUN
cana-2870	148	16	.	.	PUNCT
cana-2870	149	1	figure	figure	NOUN
cana-2870	149	2	8	8	NUM
cana-2870	149	3	shows	show	VERB
cana-2870	149	4	the	the	DET
cana-2870	149	5	lstm	lstm	ADJ
cana-2870	149	6	architecture	architecture	NOUN
cana-2870	149	7	.	.	PUNCT
cana-2870	150	1	the	the	DET
cana-2870	150	2	input	input	NOUN
cana-2870	150	3	gate	gate	NOUN
cana-2870	150	4	selects	select	NOUN
cana-2870	150	5	critical	critical	ADJ
cana-2870	150	6	cell	cell	NOUN
cana-2870	150	7	status	status	NOUN
cana-2870	150	8	information	information	NOUN
cana-2870	150	9	,	,	PUNCT
cana-2870	150	10	while	while	SCONJ
cana-2870	150	11	the	the	DET
cana-2870	150	12	output	output	NOUN
cana-2870	150	13	gate	gate	NOUN
cana-2870	150	14	determines	determine	VERB
cana-2870	150	15	what	what	PRON
cana-2870	150	16	to	to	PART
cana-2870	150	17	send	send	VERB
cana-2870	150	18	.	.	PUNCT
cana-2870	151	1	fig.7	fig.7	ADJ
cana-2870	151	2	lstm	lstm	ADJ
cana-2870	151	3	algorithm	algorithm	NOUN
cana-2870	151	4	structure	structure	NOUN
cana-2870	151	5	an	an	DET
cana-2870	151	6	lstm	lstm	ADJ
cana-2870	151	7	network	network	NOUN
cana-2870	151	8	is	be	AUX
cana-2870	151	9	trained	train	VERB
cana-2870	151	10	by	by	ADP
cana-2870	151	11	below	below	ADP
cana-2870	151	12	equations	equation	NOUN
cana-2870	152	1	[	[	X
cana-2870	152	2	25	25	NUM
cana-2870	152	3	]	]	X
cana-2870	152	4	:	:	PUNCT
cana-2870	152	5	𝑖𝑡	𝑖𝑡	ADP
cana-2870	152	6	=	=	SYM
cana-2870	152	7	𝜎(𝑊𝑖	𝜎(𝑊𝑖	NOUN
cana-2870	153	1	[	[	X
cana-2870	153	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-2870	153	3	,	,	PUNCT
cana-2870	153	4	,	,	PUNCT
cana-2870	153	5	𝑥𝑡	𝑥𝑡	ADP
cana-2870	153	6	]	]	PUNCT
cana-2870	153	7	+	+	PUNCT
cana-2870	153	8	𝑏𝑡	𝑏𝑡	NOUN
cana-2870	153	9	)	)	PUNCT
cana-2870	153	10	(	(	PUNCT
cana-2870	153	11	1	1	X
cana-2870	153	12	)	)	PUNCT
cana-2870	153	13	𝑓𝑡	𝑓𝑡	NOUN
cana-2870	153	14	=	=	PUNCT
cana-2870	153	15	𝜎(𝑊𝑓	𝜎(𝑊𝑓	NOUN
cana-2870	154	1	[	[	X
cana-2870	154	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-2870	154	3	,	,	PUNCT
cana-2870	154	4	,	,	PUNCT
cana-2870	154	5	𝑥𝑡	𝑥𝑡	ADP
cana-2870	154	6	]	]	PUNCT
cana-2870	154	7	+	+	PUNCT
cana-2870	154	8	𝑏𝑡	𝑏𝑡	NOUN
cana-2870	154	9	)	)	PUNCT
cana-2870	154	10	(	(	PUNCT
cana-2870	154	11	2	2	X
cana-2870	154	12	)	)	PUNCT
cana-2870	154	13	𝐶𝑡	𝐶𝑡	PROPN
cana-2870	154	14	=	=	SYM
cana-2870	154	15	𝑓𝑡	𝑓𝑡	PROPN
cana-2870	154	16	∗	∗	X
cana-2870	154	17	𝐶𝑡−1	𝐶𝑡−1	PROPN
cana-2870	154	18	+	+	CCONJ
cana-2870	154	19	𝑖𝑡	𝑖𝑡	NOUN
cana-2870	154	20	∗	∗	NOUN
cana-2870	154	21	𝑡𝑎𝑛ℎ(𝑊𝑐	𝑡𝑎𝑛ℎ(𝑊𝑐	PROPN
cana-2870	155	1	[	[	X
cana-2870	155	2	ℎ𝑡−1	ℎ𝑡−1	PROPN
cana-2870	155	3	,	,	PUNCT
cana-2870	155	4	,	,	PUNCT
cana-2870	155	5	𝑥𝑡	𝑥𝑡	ADP
cana-2870	155	6	]	]	PUNCT
cana-2870	155	7	+	+	CCONJ
cana-2870	155	8	𝑏𝑐	𝑏𝑐	X
cana-2870	155	9	)	)	PUNCT
cana-2870	155	10	(	(	PUNCT
cana-2870	155	11	3	3	X
cana-2870	155	12	)	)	PUNCT
cana-2870	155	13	communications	communication	NOUN
cana-2870	155	14	on	on	ADP
cana-2870	155	15	applied	apply	VERB
cana-2870	155	16	nonlinear	nonlinear	ADJ
cana-2870	155	17	analysis	analysis	NOUN
cana-2870	155	18	issn	issn	NOUN
cana-2870	155	19	:	:	PUNCT
cana-2870	155	20	1074	1074	NUM
cana-2870	155	21	-	-	PUNCT
cana-2870	155	22	133x	133x	NUM
cana-2870	155	23	vol	vol	NOUN
cana-2870	155	24	32	32	NUM
cana-2870	155	25	no	no	NOUN
cana-2870	155	26	.	.	PUNCT
cana-2870	156	1	4s	4s	NUM
cana-2870	156	2	(	(	PUNCT
cana-2870	156	3	2025	2025	NUM
cana-2870	156	4	)	)	PUNCT
cana-2870	156	5	543	543	NUM
cana-2870	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	157	1	𝑂𝑡	𝑂𝑡	NOUN
cana-2870	157	2	=	=	SYM
cana-2870	157	3	𝜎(𝑊𝑜	𝜎(𝑊𝑜	NOUN
cana-2870	157	4	[	[	X
cana-2870	157	5	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-2870	157	6	,	,	PUNCT
cana-2870	157	7	,	,	PUNCT
cana-2870	157	8	𝑥𝑡	𝑥𝑡	ADP
cana-2870	157	9	]	]	PUNCT
cana-2870	158	1	+	+	CCONJ
cana-2870	158	2	𝑏𝑜	𝑏𝑜	X
cana-2870	158	3	)	)	PUNCT
cana-2870	158	4	(	(	PUNCT
cana-2870	158	5	4	4	X
cana-2870	158	6	)	)	PUNCT
cana-2870	158	7	ℎ𝑡	ℎ𝑡	NOUN
cana-2870	158	8	=	=	PUNCT
cana-2870	159	1	𝑂𝑡	𝑂𝑡	PROPN
cana-2870	159	2	∗	∗	NOUN
cana-2870	159	3	𝑡𝑎𝑛ℎ(𝐶𝑡	𝑡𝑎𝑛ℎ(𝐶𝑡	PROPN
cana-2870	159	4	)	)	PUNCT
cana-2870	159	5	(	(	PUNCT
cana-2870	159	6	5	5	X
cana-2870	159	7	)	)	PUNCT
cana-2870	159	8	where	where	SCONJ
cana-2870	159	9	xt	xt	PUNCT
cana-2870	159	10	input	input	NOUN
cana-2870	159	11	,	,	PUNCT
cana-2870	159	12	ht	ht	PROPN
cana-2870	159	13	hidden	hidden	ADJ
cana-2870	159	14	state	state	NOUN
cana-2870	159	15	,	,	PUNCT
cana-2870	159	16	ct	ct	NUM
cana-2870	159	17	cell	cell	NOUN
cana-2870	159	18	state	state	NOUN
cana-2870	159	19	,	,	PUNCT
cana-2870	159	20	it	it	PRON
cana-2870	159	21	input	input	NOUN
cana-2870	159	22	gate	gate	NOUN
cana-2870	159	23	,	,	PUNCT
cana-2870	159	24	ft	ft	NOUN
cana-2870	159	25	forget	forget	NOUN
cana-2870	159	26	gate	gate	NOUN
cana-2870	159	27	,	,	PUNCT
cana-2870	159	28	ot	ot	INTJ
cana-2870	159	29	output	output	NOUN
cana-2870	159	30	gate	gate	NOUN
cana-2870	159	31	,	,	PUNCT
cana-2870	159	32	t	t	PROPN
cana-2870	159	33	time	time	NOUN
cana-2870	159	34	step	step	NOUN
cana-2870	159	35	,	,	PUNCT
cana-2870	159	36	w	w	NOUN
cana-2870	159	37	weight	weight	NOUN
cana-2870	159	38	matrices	matrix	NOUN
cana-2870	159	39	,	,	PUNCT
cana-2870	159	40	b	b	X
cana-2870	159	41	bias	bias	VERB
cana-2870	159	42	vectors.the	vectors.the	PRON
cana-2870	159	43	sigmoid	sigmoid	NOUN
cana-2870	159	44	function	function	NOUN
cana-2870	159	45	limit	limit	NOUN
cana-2870	159	46	output	output	NOUN
cana-2870	159	47	to	to	ADP
cana-2870	159	48	0	0	NUM
cana-2870	159	49	and	and	CCONJ
cana-2870	159	50	1	1	NUM
cana-2870	159	51	,	,	PUNCT
cana-2870	159	52	the	the	DET
cana-2870	159	53	tanh	tanh	PROPN
cana-2870	159	54	limit	limit	VERB
cana-2870	159	55	output	output	NOUN
cana-2870	159	56	to	to	ADP
cana-2870	159	57	-1	-1	PUNCT
cana-2870	159	58	and	and	CCONJ
cana-2870	160	1	1	1	NUM
cana-2870	160	2	.	.	X
cana-2870	160	3	3.2.2	3.2.2	NUM
cana-2870	160	4	.	.	PUNCT
cana-2870	160	5	gated	gate	VERB
cana-2870	160	6	recurrent	recurrent	ADJ
cana-2870	160	7	unit	unit	NOUN
cana-2870	160	8	:	:	PUNCT
cana-2870	161	1	grus	grus	PROPN
cana-2870	161	2	are	be	AUX
cana-2870	161	3	rnns	rnn	NOUN
cana-2870	161	4	created	create	VERB
cana-2870	161	5	by	by	ADP
cana-2870	161	6	[	[	X
cana-2870	161	7	26	26	NUM
cana-2870	161	8	]	]	PUNCT
cana-2870	161	9	in	in	ADP
cana-2870	161	10	2014	2014	NUM
cana-2870	161	11	to	to	PART
cana-2870	161	12	improve	improve	VERB
cana-2870	161	13	lstm	lstm	ADJ
cana-2870	161	14	networks	network	NOUN
cana-2870	161	15	.	.	PUNCT
cana-2870	162	1	lstms	lstms	ADJ
cana-2870	162	2	and	and	CCONJ
cana-2870	162	3	grus	grus	PROPN
cana-2870	162	4	examine	examine	NOUN
cana-2870	162	5	input	input	NOUN
cana-2870	162	6	sequences	sequence	NOUN
cana-2870	162	7	of	of	ADP
cana-2870	162	8	any	any	DET
cana-2870	162	9	length	length	NOUN
cana-2870	162	10	while	while	SCONJ
cana-2870	162	11	storing	store	VERB
cana-2870	162	12	past	past	ADJ
cana-2870	162	13	information	information	NOUN
cana-2870	162	14	.	.	PUNCT
cana-2870	163	1	grus	grus	PROPN
cana-2870	163	2	use	use	VERB
cana-2870	163	3	one	one	NUM
cana-2870	163	4	update	update	NOUN
cana-2870	163	5	gate	gate	NOUN
cana-2870	163	6	and	and	CCONJ
cana-2870	163	7	a	a	DET
cana-2870	163	8	reset	reset	ADJ
cana-2870	163	9	gate	gate	NOUN
cana-2870	163	10	to	to	PART
cana-2870	163	11	decide	decide	VERB
cana-2870	163	12	which	which	DET
cana-2870	163	13	information	information	NOUN
cana-2870	163	14	to	to	PART
cana-2870	163	15	preserve	preserve	VERB
cana-2870	163	16	and	and	CCONJ
cana-2870	163	17	discard	discard	ADJ
cana-2870	163	18	,	,	PUNCT
cana-2870	163	19	unlike	unlike	ADP
cana-2870	163	20	lstms	lstms	NOUN
cana-2870	163	21	,	,	PUNCT
cana-2870	163	22	which	which	PRON
cana-2870	163	23	use	use	VERB
cana-2870	163	24	several	several	ADJ
cana-2870	163	25	gates	gate	NOUN
cana-2870	163	26	and	and	CCONJ
cana-2870	163	27	an	an	DET
cana-2870	163	28	internal	internal	ADJ
cana-2870	163	29	memory	memory	NOUN
cana-2870	163	30	cell	cell	NOUN
cana-2870	163	31	.	.	PUNCT
cana-2870	164	1	this	this	PRON
cana-2870	164	2	makes	make	VERB
cana-2870	164	3	grus	grus	NOUN
cana-2870	164	4	easier	easy	ADJ
cana-2870	164	5	to	to	PART
cana-2870	164	6	train	train	VERB
cana-2870	164	7	than	than	ADP
cana-2870	164	8	lstms	lstms	ADJ
cana-2870	164	9	and	and	CCONJ
cana-2870	164	10	performs	perform	VERB
cana-2870	164	11	similarly	similarly	ADV
cana-2870	164	12	on	on	ADP
cana-2870	164	13	many	many	ADJ
cana-2870	164	14	tasks	task	NOUN
cana-2870	164	15	[	[	X
cana-2870	164	16	27	27	NUM
cana-2870	164	17	]	]	PUNCT
cana-2870	164	18	.	.	PUNCT
cana-2870	165	1	grus	grus	PROPN
cana-2870	165	2	outperformed	outperform	VERB
cana-2870	165	3	lstms	lstms	NOUN
cana-2870	165	4	in	in	ADP
cana-2870	165	5	penn	penn	PROPN
cana-2870	165	6	tree	tree	PROPN
cana-2870	165	7	bank	bank	PROPN
cana-2870	165	8	language	language	NOUN
cana-2870	165	9	modeling	modeling	NOUN
cana-2870	165	10	.	.	PUNCT
cana-2870	166	1	a	a	DET
cana-2870	166	2	nlp	nlp	NOUN
cana-2870	166	3	model	model	NOUN
cana-2870	166	4	research	research	NOUN
cana-2870	166	5	[	[	X
cana-2870	166	6	28	28	NUM
cana-2870	166	7	]	]	PUNCT
cana-2870	166	8	found	find	VERB
cana-2870	166	9	grus	grus	NOUN
cana-2870	166	10	similar	similar	ADJ
cana-2870	166	11	to	to	ADP
cana-2870	166	12	lstms	lstms	NOUN
cana-2870	166	13	and	and	CCONJ
cana-2870	166	14	cnns	cnn	NOUN
cana-2870	166	15	on	on	ADP
cana-2870	166	16	several	several	ADJ
cana-2870	166	17	benchmarks	benchmark	NOUN
cana-2870	166	18	.	.	PUNCT
cana-2870	167	1	long	long	ADJ
cana-2870	167	2	-	-	PUNCT
cana-2870	167	3	range	range	NOUN
cana-2870	167	4	associations	association	NOUN
cana-2870	167	5	in	in	ADP
cana-2870	167	6	sequential	sequential	ADJ
cana-2870	167	7	data	datum	NOUN
cana-2870	167	8	are	be	AUX
cana-2870	167	9	better	well	ADV
cana-2870	167	10	detected	detect	VERB
cana-2870	167	11	by	by	ADP
cana-2870	167	12	grus	grus	NOUN
cana-2870	167	13	than	than	ADP
cana-2870	167	14	rnns	rnns	PROPN
cana-2870	167	15	.	.	PUNCT
cana-2870	168	1	based	base	VERB
cana-2870	168	2	on	on	ADP
cana-2870	168	3	input	input	NOUN
cana-2870	168	4	and	and	CCONJ
cana-2870	168	5	network	network	NOUN
cana-2870	168	6	state	state	NOUN
cana-2870	168	7	,	,	PUNCT
cana-2870	168	8	a	a	DET
cana-2870	168	9	gru	gru	NOUN
cana-2870	168	10	's	's	PART
cana-2870	168	11	update	update	NOUN
cana-2870	168	12	and	and	CCONJ
cana-2870	168	13	reset	reset	NOUN
cana-2870	168	14	gates	gate	NOUN
cana-2870	168	15	can	can	AUX
cana-2870	168	16	maintain	maintain	VERB
cana-2870	168	17	or	or	CCONJ
cana-2870	168	18	forget	forget	VERB
cana-2870	168	19	earlier	early	ADJ
cana-2870	168	20	information	information	NOUN
cana-2870	168	21	.	.	PUNCT
cana-2870	169	1	for	for	ADP
cana-2870	169	2	language	language	NOUN
cana-2870	169	3	translation	translation	NOUN
cana-2870	169	4	,	,	PUNCT
cana-2870	169	5	grus	grus	PROPN
cana-2870	169	6	are	be	AUX
cana-2870	169	7	good	good	ADJ
cana-2870	169	8	for	for	ADP
cana-2870	169	9	recalling	recall	VERB
cana-2870	169	10	and	and	CCONJ
cana-2870	169	11	applying	apply	VERB
cana-2870	169	12	knowledge	knowledge	NOUN
cana-2870	169	13	from	from	ADP
cana-2870	169	14	long	long	ADJ
cana-2870	169	15	sequences	sequence	NOUN
cana-2870	169	16	.	.	PUNCT
cana-2870	170	1	figure	figure	NOUN
cana-2870	170	2	9	9	NUM
cana-2870	170	3	shows	show	VERB
cana-2870	170	4	the	the	DET
cana-2870	170	5	hidden	hidden	ADJ
cana-2870	170	6	state	state	NOUN
cana-2870	170	7	at	at	ADP
cana-2870	170	8	time	time	NOUN
cana-2870	170	9	t	t	PROPN
cana-2870	170	10	,	,	PUNCT
cana-2870	170	11	ht	ht	PROPN
cana-2870	170	12	,	,	PUNCT
cana-2870	170	13	updated	update	VERB
cana-2870	170	14	by	by	ADP
cana-2870	170	15	the	the	DET
cana-2870	170	16	following	follow	VERB
cana-2870	170	17	equations	equation	NOUN
cana-2870	170	18	[	[	X
cana-2870	170	19	29	29	NUM
cana-2870	170	20	]	]	PUNCT
cana-2870	170	21	:	:	PUNCT
cana-2870	170	22	𝑢𝑡	𝑢𝑡	NOUN
cana-2870	170	23	=	=	PUNCT
cana-2870	170	24	𝜎(𝑊𝑢	𝜎(𝑊𝑢	NOUN
cana-2870	170	25	[	[	X
cana-2870	170	26	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-2870	170	27	,	,	PUNCT
cana-2870	170	28	,	,	PUNCT
cana-2870	170	29	𝑥𝑡	𝑥𝑡	ADP
cana-2870	170	30	]	]	X
cana-2870	170	31	)	)	PUNCT
cana-2870	170	32	(	(	PUNCT
cana-2870	170	33	6	6	NUM
cana-2870	170	34	)	)	PUNCT
cana-2870	170	35	𝑟𝑡	𝑟𝑡	NOUN
cana-2870	170	36	=	=	SYM
cana-2870	170	37	𝜎(𝑊𝑟[ℎ𝑡−1	𝜎(𝑊𝑟[ℎ𝑡−1	PROPN
cana-2870	170	38	,	,	PUNCT
cana-2870	170	39	,	,	PUNCT
cana-2870	170	40	𝑥𝑡	𝑥𝑡	ADP
cana-2870	170	41	]	]	X
cana-2870	170	42	)	)	PUNCT
cana-2870	170	43	(	(	PUNCT
cana-2870	170	44	7	7	X
cana-2870	170	45	)	)	PUNCT
cana-2870	170	46	ℎ𝑡	ℎ𝑡	NOUN
cana-2870	170	47	=	=	SYM
cana-2870	170	48	(	(	PUNCT
cana-2870	170	49	1	1	NUM
cana-2870	170	50	−	−	PROPN
cana-2870	170	51	𝑢𝑡	𝑢𝑡	NOUN
cana-2870	170	52	)	)	PUNCT
cana-2870	170	53	∗	∗	NOUN
cana-2870	170	54	ℎ𝑡−1	ℎ𝑡−1	VERB
cana-2870	170	55	+	+	CCONJ
cana-2870	170	56	𝑢𝑡	𝑢𝑡	NOUN
cana-2870	170	57	∗	∗	X
cana-2870	170	58	𝑡𝑎𝑛ℎ(𝑊𝑢	𝑡𝑎𝑛ℎ(𝑊𝑢	X
cana-2870	171	1	[	[	X
cana-2870	171	2	𝑟𝑡	𝑟𝑡	NOUN
cana-2870	171	3	∗	∗	NOUN
cana-2870	171	4	ℎ𝑡−1	ℎ𝑡−1	VERB
cana-2870	171	5	,	,	PUNCT
cana-2870	171	6	,	,	PUNCT
cana-2870	171	7	𝑢𝑡	𝑢𝑡	NOUN
cana-2870	171	8	]	]	X
cana-2870	171	9	)	)	PUNCT
cana-2870	171	10	(	(	PUNCT
cana-2870	171	11	8)	8)	NUM
cana-2870	171	12	where	where	SCONJ
cana-2870	171	13	ut	ut	PROPN
cana-2870	171	14	update	update	PROPN
cana-2870	171	15	gate	gate	PROPN
cana-2870	171	16	,	,	PUNCT
cana-2870	171	17	rt	rt	PROPN
cana-2870	171	18	reset	reset	NOUN
cana-2870	171	19	gate	gate	NOUN
cana-2870	171	20	.	.	PUNCT
cana-2870	172	1	fig	fig	NOUN
cana-2870	172	2	.	.	PUNCT
cana-2870	173	1	8	8	NUM
cana-2870	173	2	gru	gru	NOUN
cana-2870	173	3	cell	cell	NOUN
cana-2870	173	4	diagram	diagram	NOUN
cana-2870	173	5	3.2.3	3.2.3	NUM
cana-2870	173	6	.	.	PUNCT
cana-2870	174	1	bi	bi	ADJ
cana-2870	174	2	-	-	ADJ
cana-2870	174	3	directional	directional	ADJ
cana-2870	174	4	lstm	lstm	NOUN
cana-2870	174	5	:	:	PUNCT
cana-2870	174	6	recurrent	recurrent	ADJ
cana-2870	174	7	neural	neural	ADJ
cana-2870	174	8	networks	network	NOUN
cana-2870	174	9	,	,	PUNCT
cana-2870	174	10	such	such	ADJ
cana-2870	174	11	as	as	ADP
cana-2870	174	12	bi	bi	NOUN
cana-2870	174	13	-	-	ADJ
cana-2870	174	14	lstms	lstms	ADJ
cana-2870	174	15	,	,	PUNCT
cana-2870	174	16	evaluate	evaluate	VERB
cana-2870	174	17	sequential	sequential	ADJ
cana-2870	174	18	input	input	NOUN
cana-2870	174	19	in	in	ADP
cana-2870	174	20	both	both	CCONJ
cana-2870	174	21	forward	forward	ADJ
cana-2870	174	22	and	and	CCONJ
cana-2870	174	23	backward	backward	ADJ
cana-2870	174	24	directions	direction	NOUN
cana-2870	174	25	(	(	PUNCT
cana-2870	174	26	figure	figure	NOUN
cana-2870	174	27	9	9	NUM
cana-2870	174	28	)	)	PUNCT
cana-2870	174	29	.	.	PUNCT
cana-2870	175	1	this	this	PRON
cana-2870	175	2	enables	enable	VERB
cana-2870	175	3	the	the	DET
cana-2870	175	4	network	network	NOUN
cana-2870	175	5	to	to	PART
cana-2870	175	6	forecast	forecast	VERB
cana-2870	175	7	or	or	CCONJ
cana-2870	175	8	classify	classify	AUX
cana-2870	175	9	based	base	VERB
cana-2870	175	10	on	on	ADP
cana-2870	175	11	historical	historical	ADJ
cana-2870	175	12	and	and	CCONJ
cana-2870	175	13	prospective	prospective	ADJ
cana-2870	175	14	inputs	input	NOUN
cana-2870	175	15	.	.	PUNCT
cana-2870	176	1	this	this	PRON
cana-2870	176	2	is	be	AUX
cana-2870	176	3	particularly	particularly	ADV
cana-2870	176	4	advantageous	advantageous	ADJ
cana-2870	176	5	for	for	ADP
cana-2870	176	6	roles	role	NOUN
cana-2870	176	7	where	where	SCONJ
cana-2870	176	8	antecedent	antecedent	NOUN
cana-2870	176	9	and	and	CCONJ
cana-2870	176	10	subsequent	subsequent	ADJ
cana-2870	176	11	events	event	NOUN
cana-2870	176	12	influence	influence	VERB
cana-2870	176	13	the	the	DET
cana-2870	176	14	current	current	ADJ
cana-2870	176	15	circumstances	circumstance	NOUN
cana-2870	176	16	.	.	PUNCT
cana-2870	177	1	a	a	DET
cana-2870	177	2	bi	bi	NOUN
cana-2870	177	3	-	-	ADJ
cana-2870	177	4	lstm	lstm	ADJ
cana-2870	177	5	or	or	CCONJ
cana-2870	177	6	bi	bi	PROPN
cana-2870	177	7	-	-	PROPN
cana-2870	177	8	gru	gru	PROPN
cana-2870	177	9	has	have	VERB
cana-2870	177	10	four	four	NUM
cana-2870	177	11	layers	layer	NOUN
cana-2870	177	12	of	of	ADP
cana-2870	177	13	lstm	lstm	NOUN
cana-2870	177	14	or	or	CCONJ
cana-2870	177	15	gru	gru	NOUN
cana-2870	177	16	cells	cell	NOUN
cana-2870	177	17	,	,	PUNCT
cana-2870	177	18	with	with	ADP
cana-2870	177	19	one	one	NUM
cana-2870	177	20	layer	layer	NOUN
cana-2870	177	21	processing	processing	NOUN
cana-2870	177	22	data	datum	NOUN
cana-2870	177	23	in	in	ADP
cana-2870	177	24	a	a	DET
cana-2870	177	25	forward	forward	ADJ
cana-2870	177	26	direction	direction	NOUN
cana-2870	177	27	and	and	CCONJ
cana-2870	177	28	the	the	DET
cana-2870	177	29	other	other	ADJ
cana-2870	177	30	in	in	ADP
cana-2870	177	31	a	a	DET
cana-2870	177	32	backward	backward	ADJ
cana-2870	177	33	direction	direction	NOUN
cana-2870	177	34	.	.	PUNCT
cana-2870	178	1	the	the	DET
cana-2870	178	2	research	research	NOUN
cana-2870	178	3	"	"	PUNCT
cana-2870	178	4	bi	bi	ADJ
cana-2870	178	5	-	-	ADJ
cana-2870	178	6	directional	directional	ADJ
cana-2870	178	7	recurrent	recurrent	ADJ
cana-2870	178	8	neural	neural	ADJ
cana-2870	178	9	networks	network	NOUN
cana-2870	178	10	"	"	PUNCT
cana-2870	178	11	[	[	X
cana-2870	178	12	30	30	NUM
cana-2870	178	13	]	]	PUNCT
cana-2870	178	14	first	first	ADV
cana-2870	178	15	presented	present	VERB
cana-2870	178	16	the	the	DET
cana-2870	178	17	concept	concept	NOUN
cana-2870	178	18	of	of	ADP
cana-2870	178	19	integrating	integrate	VERB
cana-2870	178	20	a	a	DET
cana-2870	178	21	forward	forward	ADJ
cana-2870	178	22	and	and	CCONJ
cana-2870	178	23	backward	backward	ADJ
cana-2870	178	24	lstm	lstm	NOUN
cana-2870	178	25	to	to	PART
cana-2870	178	26	capture	capture	VERB
cana-2870	178	27	both	both	PRON
cana-2870	178	28	past	past	NOUN
cana-2870	178	29	and	and	CCONJ
cana-2870	178	30	future	future	ADJ
cana-2870	178	31	context	context	NOUN
cana-2870	178	32	for	for	ADP
cana-2870	178	33	speech	speech	NOUN
cana-2870	178	34	signal	signal	NOUN
cana-2870	178	35	processing	processing	NOUN
cana-2870	178	36	tasks	task	NOUN
cana-2870	178	37	in	in	ADP
cana-2870	178	38	1997	1997	NUM
cana-2870	178	39	.	.	PUNCT
cana-2870	179	1	since	since	SCONJ
cana-2870	179	2	that	that	DET
cana-2870	179	3	time	time	NOUN
cana-2870	179	4	,	,	PUNCT
cana-2870	179	5	bi	bi	ADJ
cana-2870	179	6	-	-	ADJ
cana-2870	179	7	lstms	lstms	ADJ
cana-2870	179	8	have	have	AUX
cana-2870	179	9	been	be	AUX
cana-2870	179	10	employed	employ	VERB
cana-2870	179	11	in	in	ADP
cana-2870	179	12	sentiment	sentiment	NOUN
cana-2870	179	13	analysis	analysis	NOUN
cana-2870	179	14	,	,	PUNCT
cana-2870	179	15	text	text	NOUN
cana-2870	179	16	classification	classification	NOUN
cana-2870	179	17	,	,	PUNCT
cana-2870	179	18	and	and	CCONJ
cana-2870	179	19	language	language	NOUN
cana-2870	179	20	translation	translation	NOUN
cana-2870	179	21	.	.	PUNCT
cana-2870	180	1	multiple	multiple	ADJ
cana-2870	180	2	research	research	NOUN
cana-2870	180	3	[	[	X
cana-2870	180	4	31,32	31,32	NUM
cana-2870	180	5	]	]	PUNCT
cana-2870	180	6	have	have	AUX
cana-2870	180	7	shown	show	VERB
cana-2870	180	8	that	that	SCONJ
cana-2870	180	9	bicommunications	bicommunication	NOUN
cana-2870	180	10	on	on	ADP
cana-2870	180	11	applied	apply	VERB
cana-2870	180	12	nonlinear	nonlinear	ADJ
cana-2870	180	13	analysis	analysis	NOUN
cana-2870	180	14	issn	issn	NOUN
cana-2870	180	15	:	:	PUNCT
cana-2870	180	16	1074	1074	NUM
cana-2870	180	17	-	-	PUNCT
cana-2870	180	18	133x	133x	NUM
cana-2870	180	19	vol	vol	NOUN
cana-2870	180	20	32	32	NUM
cana-2870	180	21	no	no	NOUN
cana-2870	180	22	.	.	PUNCT
cana-2870	181	1	4s	4s	NUM
cana-2870	181	2	(	(	PUNCT
cana-2870	181	3	2025	2025	NUM
cana-2870	181	4	)	)	PUNCT
cana-2870	181	5	544	544	NUM
cana-2870	181	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	181	7	lstms	lstms	NOUN
cana-2870	181	8	can	can	AUX
cana-2870	181	9	proficiently	proficiently	ADV
cana-2870	181	10	forecast	forecast	VERB
cana-2870	181	11	time	time	NOUN
cana-2870	181	12	series	series	PROPN
cana-2870	181	13	.	.	PUNCT
cana-2870	182	1	the	the	PRON
cana-2870	182	2	bi	bi	NOUN
cana-2870	182	3	-	-	NOUN
cana-2870	182	4	lstm	lstm	NOUN
cana-2870	182	5	yielded	yield	VERB
cana-2870	182	6	advantageous	advantageous	ADJ
cana-2870	182	7	outcomes	outcome	NOUN
cana-2870	182	8	in	in	ADP
cana-2870	182	9	several	several	ADJ
cana-2870	182	10	studies	study	NOUN
cana-2870	182	11	.	.	PUNCT
cana-2870	183	1	references	reference	NOUN
cana-2870	183	2	[	[	X
cana-2870	183	3	33	33	NUM
cana-2870	183	4	]	]	PUNCT
cana-2870	183	5	established	establish	VERB
cana-2870	183	6	a	a	DET
cana-2870	183	7	bi	bi	ADJ
cana-2870	183	8	-	-	ADJ
cana-2870	183	9	lstm	lstm	ADJ
cana-2870	183	10	model	model	NOUN
cana-2870	183	11	,	,	PUNCT
cana-2870	183	12	showcasing	showcase	VERB
cana-2870	183	13	its	its	PRON
cana-2870	183	14	enhanced	enhanced	ADJ
cana-2870	183	15	efficacy	efficacy	NOUN
cana-2870	183	16	.	.	PUNCT
cana-2870	184	1	fig.9	fig.9	ADJ
cana-2870	184	2	structure	structure	NOUN
cana-2870	184	3	of	of	ADP
cana-2870	184	4	a	a	DET
cana-2870	184	5	bi	bi	ADJ
cana-2870	184	6	-	-	ADJ
cana-2870	184	7	lstm	lstm	ADJ
cana-2870	184	8	algorithm	algorithm	NOUN
cana-2870	184	9	3.3	3.3	NUM
cana-2870	184	10	.	.	PUNCT
cana-2870	185	1	hyperparameter	hyperparameter	NOUN
cana-2870	185	2	tuning	tuning	NOUN
cana-2870	185	3	:	:	PUNCT
cana-2870	185	4	machine	machine	NOUN
cana-2870	185	5	learning	learn	VERB
cana-2870	185	6	system	system	NOUN
cana-2870	185	7	performance	performance	NOUN
cana-2870	185	8	depends	depend	VERB
cana-2870	185	9	on	on	ADP
cana-2870	185	10	hyperparameter	hyperparameter	NOUN
cana-2870	185	11	adjustment	adjustment	NOUN
cana-2870	185	12	.	.	PUNCT
cana-2870	186	1	the	the	DET
cana-2870	186	2	best	good	ADJ
cana-2870	186	3	hyperparameters	hyperparameter	NOUN
cana-2870	186	4	can	can	AUX
cana-2870	186	5	improve	improve	VERB
cana-2870	186	6	the	the	DET
cana-2870	186	7	algorithm	algorithm	NOUN
cana-2870	186	8	's	's	PART
cana-2870	186	9	performance	performance	NOUN
cana-2870	186	10	and	and	CCONJ
cana-2870	186	11	give	give	VERB
cana-2870	186	12	more	more	ADV
cana-2870	186	13	accurate	accurate	ADJ
cana-2870	186	14	predictions	prediction	NOUN
cana-2870	186	15	[	[	X
cana-2870	186	16	34	34	NUM
cana-2870	186	17	]	]	PUNCT
cana-2870	186	18	.	.	PUNCT
cana-2870	187	1	to	to	PART
cana-2870	187	2	get	get	VERB
cana-2870	187	3	the	the	DET
cana-2870	187	4	best	good	ADJ
cana-2870	187	5	results	result	NOUN
cana-2870	187	6	,	,	PUNCT
cana-2870	187	7	optimize	optimize	VERB
cana-2870	187	8	the	the	DET
cana-2870	187	9	hyperparameters	hyperparameter	NOUN
cana-2870	187	10	before	before	ADP
cana-2870	187	11	running	run	VERB
cana-2870	187	12	the	the	DET
cana-2870	187	13	deep	deep	ADJ
cana-2870	187	14	learning	learning	NOUN
cana-2870	187	15	algorithm	algorithm	NOUN
cana-2870	187	16	.	.	PUNCT
cana-2870	188	1	this	this	DET
cana-2870	188	2	study	study	NOUN
cana-2870	188	3	optimized	optimize	VERB
cana-2870	188	4	hyperparameters	hyperparameter	NOUN
cana-2870	188	5	such	such	ADJ
cana-2870	188	6	layer	layer	NOUN
cana-2870	188	7	neuron	neuron	NOUN
cana-2870	188	8	count	count	NOUN
cana-2870	188	9	,	,	PUNCT
cana-2870	188	10	epoch	epoch	NOUN
cana-2870	188	11	size	size	NOUN
cana-2870	188	12	,	,	PUNCT
cana-2870	188	13	and	and	CCONJ
cana-2870	188	14	batch	batch	NOUN
cana-2870	188	15	size	size	NOUN
cana-2870	188	16	.	.	PUNCT
cana-2870	189	1	each	each	DET
cana-2870	189	2	epoch	epoch	NOUN
cana-2870	189	3	represents	represent	VERB
cana-2870	189	4	a	a	DET
cana-2870	189	5	full	full	ADJ
cana-2870	189	6	dataset	dataset	NOUN
cana-2870	189	7	iteration	iteration	NOUN
cana-2870	189	8	during	during	ADP
cana-2870	189	9	model	model	NOUN
cana-2870	189	10	execution	execution	NOUN
cana-2870	189	11	,	,	PUNCT
cana-2870	189	12	including	include	VERB
cana-2870	189	13	forward	forward	ADV
cana-2870	189	14	and	and	CCONJ
cana-2870	189	15	backward	backward	ADJ
cana-2870	189	16	passes	pass	NOUN
cana-2870	189	17	.	.	PUNCT
cana-2870	190	1	a	a	DET
cana-2870	190	2	single	single	ADJ
cana-2870	190	3	forward	forward	ADV
cana-2870	190	4	/	/	SYM
cana-2870	190	5	backward	backward	ADJ
cana-2870	190	6	run	run	NOUN
cana-2870	190	7	uses	use	VERB
cana-2870	190	8	a	a	DET
cana-2870	190	9	certain	certain	ADJ
cana-2870	190	10	number	number	NOUN
cana-2870	190	11	of	of	ADP
cana-2870	190	12	samples	sample	NOUN
cana-2870	190	13	,	,	PUNCT
cana-2870	190	14	called	call	VERB
cana-2870	190	15	the	the	DET
cana-2870	190	16	batch	batch	NOUN
cana-2870	190	17	size	size	NOUN
cana-2870	190	18	.	.	PUNCT
cana-2870	191	1	it	it	PRON
cana-2870	191	2	determines	determine	VERB
cana-2870	191	3	the	the	DET
cana-2870	191	4	number	number	NOUN
cana-2870	191	5	of	of	ADP
cana-2870	191	6	samples	sample	NOUN
cana-2870	191	7	sent	send	VERB
cana-2870	191	8	across	across	ADP
cana-2870	191	9	the	the	DET
cana-2870	191	10	network	network	NOUN
cana-2870	191	11	to	to	PART
cana-2870	191	12	update	update	VERB
cana-2870	191	13	weights	weight	NOUN
cana-2870	191	14	in	in	ADP
cana-2870	191	15	one	one	NUM
cana-2870	191	16	iteration	iteration	NOUN
cana-2870	191	17	.	.	PUNCT
cana-2870	192	1	a	a	DET
cana-2870	192	2	model	model	NOUN
cana-2870	192	3	's	's	PART
cana-2870	192	4	performance	performance	NOUN
cana-2870	192	5	and	and	CCONJ
cana-2870	192	6	training	training	NOUN
cana-2870	192	7	time	time	NOUN
cana-2870	192	8	depend	depend	VERB
cana-2870	192	9	on	on	ADP
cana-2870	192	10	batch	batch	NOUN
cana-2870	192	11	size	size	NOUN
cana-2870	192	12	.	.	PUNCT
cana-2870	193	1	while	while	SCONJ
cana-2870	193	2	reducing	reduce	VERB
cana-2870	193	3	batch	batch	NOUN
cana-2870	193	4	size	size	NOUN
cana-2870	193	5	increases	increase	VERB
cana-2870	193	6	weight	weight	NOUN
cana-2870	193	7	updates	update	NOUN
cana-2870	193	8	,	,	PUNCT
cana-2870	193	9	it	it	PRON
cana-2870	193	10	may	may	AUX
cana-2870	193	11	hinder	hinder	VERB
cana-2870	193	12	convergence	convergence	NOUN
cana-2870	193	13	.	.	PUNCT
cana-2870	194	1	increasing	increase	VERB
cana-2870	194	2	batch	batch	NOUN
cana-2870	194	3	size	size	NOUN
cana-2870	194	4	may	may	AUX
cana-2870	194	5	hasten	hasten	VERB
cana-2870	194	6	convergence	convergence	NOUN
cana-2870	194	7	but	but	CCONJ
cana-2870	194	8	require	require	VERB
cana-2870	194	9	more	more	ADJ
cana-2870	194	10	computer	computer	NOUN
cana-2870	194	11	resources	resource	NOUN
cana-2870	194	12	.	.	PUNCT
cana-2870	195	1	batch	batch	NOUN
cana-2870	195	2	sizes	size	NOUN
cana-2870	195	3	were	be	AUX
cana-2870	195	4	16	16	NUM
cana-2870	195	5	,	,	PUNCT
cana-2870	195	6	32	32	NUM
cana-2870	195	7	,	,	PUNCT
cana-2870	195	8	64	64	NUM
cana-2870	195	9	,	,	PUNCT
cana-2870	195	10	and	and	CCONJ
cana-2870	195	11	120	120	NUM
cana-2870	195	12	for	for	ADP
cana-2870	195	13	the	the	DET
cana-2870	195	14	trials	trial	NOUN
cana-2870	195	15	.	.	PUNCT
cana-2870	196	1	however	however	ADV
cana-2870	196	2	,	,	PUNCT
cana-2870	196	3	the	the	DET
cana-2870	196	4	best	good	ADJ
cana-2870	196	5	hyperparameter	hyperparameter	NOUN
cana-2870	196	6	value	value	NOUN
cana-2870	196	7	of	of	ADP
cana-2870	196	8	32	32	NUM
cana-2870	196	9	was	be	AUX
cana-2870	196	10	chosen	choose	VERB
cana-2870	196	11	since	since	SCONJ
cana-2870	196	12	it	it	PRON
cana-2870	196	13	yielded	yield	VERB
cana-2870	196	14	more	more	ADV
cana-2870	196	15	accurate	accurate	ADJ
cana-2870	196	16	results	result	NOUN
cana-2870	196	17	across	across	ADP
cana-2870	196	18	all	all	DET
cana-2870	196	19	prediction	prediction	NOUN
cana-2870	196	20	models	model	NOUN
cana-2870	196	21	in	in	ADP
cana-2870	196	22	this	this	DET
cana-2870	196	23	study	study	NOUN
cana-2870	196	24	.	.	PUNCT
cana-2870	197	1	3.4	3.4	NUM
cana-2870	197	2	.	.	PUNCT
cana-2870	197	3	performance	performance	NOUN
cana-2870	197	4	metrics	metric	NOUN
cana-2870	197	5	:	:	PUNCT
cana-2870	197	6	mape	mape	NOUN
cana-2870	197	7	,	,	PUNCT
cana-2870	197	8	rmse	rmse	NOUN
cana-2870	197	9	,	,	PUNCT
cana-2870	197	10	mae	mae	PROPN
cana-2870	197	11	,	,	PUNCT
cana-2870	197	12	and	and	CCONJ
cana-2870	197	13	mse	mse	NOUN
cana-2870	197	14	were	be	AUX
cana-2870	197	15	the	the	DET
cana-2870	197	16	metrics	metric	NOUN
cana-2870	197	17	that	that	PRON
cana-2870	197	18	we	we	PRON
cana-2870	197	19	applied	apply	VERB
cana-2870	197	20	in	in	ADP
cana-2870	197	21	order	order	NOUN
cana-2870	197	22	to	to	PART
cana-2870	197	23	evaluate	evaluate	VERB
cana-2870	197	24	the	the	DET
cana-2870	197	25	efficacy	efficacy	NOUN
cana-2870	197	26	of	of	ADP
cana-2870	197	27	the	the	DET
cana-2870	197	28	deep	deep	ADJ
cana-2870	197	29	learning	learning	NOUN
cana-2870	197	30	algorithms	algorithm	VERB
cana-2870	197	31	mape=	mape=	NUM
cana-2870	197	32	1	1	NUM
cana-2870	197	33	𝑛	𝑛	PRON
cana-2870	197	34	∑	∑	ADV
cana-2870	197	35	|	|	ADV
cana-2870	197	36	𝐴𝑡−𝐹𝑡	𝐴𝑡−𝐹𝑡	PROPN
cana-2870	197	37	𝐴𝑡	𝐴𝑡	PROPN
cana-2870	197	38	|𝑛	|𝑛	X
cana-2870	197	39	𝑡=1	𝑡=1	PROPN
cana-2870	197	40	(	(	PUNCT
cana-2870	197	41	9	9	X
cana-2870	197	42	)	)	PUNCT
cana-2870	197	43	rmse=√	rmse=√	NOUN
cana-2870	197	44	1	1	NUM
cana-2870	197	45	𝑛	𝑛	NOUN
cana-2870	197	46	∑	∑	PUNCT
cana-2870	197	47	(	(	PUNCT
cana-2870	197	48	𝐴𝑡	𝐴𝑡	PROPN
cana-2870	197	49	−	−	NOUN
cana-2870	197	50	𝐹𝑡)2𝑛	𝐹𝑡)2𝑛	NOUN
cana-2870	197	51	𝑡=1	𝑡=1	PROPN
cana-2870	197	52	(	(	PUNCT
cana-2870	197	53	10	10	NUM
cana-2870	197	54	)	)	PUNCT
cana-2870	197	55	mae	mae	PROPN
cana-2870	198	1	=	=	SYM
cana-2870	198	2	1	1	NUM
cana-2870	198	3	𝑛	𝑛	PROPN
cana-2870	198	4	∑	∑	ADV
cana-2870	198	5	|𝐴𝑡	|𝐴𝑡	PROPN
cana-2870	198	6	−	−	PROPN
cana-2870	198	7	𝐹𝑡|𝑛	𝐹𝑡|𝑛	PROPN
cana-2870	198	8	𝑡=1	𝑡=1	PROPN
cana-2870	198	9	(	(	PUNCT
cana-2870	198	10	11	11	NUM
cana-2870	198	11	)	)	PUNCT
cana-2870	198	12	mse=	mse=	PROPN
cana-2870	198	13	1	1	NUM
cana-2870	198	14	𝑛	𝑛	NOUN
cana-2870	198	15	∑	∑	PUNCT
cana-2870	198	16	(	(	PUNCT
cana-2870	198	17	𝐴𝑡	𝐴𝑡	PROPN
cana-2870	198	18	−	−	NOUN
cana-2870	198	19	𝐹𝑡)2𝑛	𝐹𝑡)2𝑛	NOUN
cana-2870	198	20	𝑡=1	𝑡=1	PROPN
cana-2870	198	21	(	(	PUNCT
cana-2870	198	22	12	12	NUM
cana-2870	198	23	)	)	PUNCT
cana-2870	198	24	where	where	SCONJ
cana-2870	198	25	ft	ft	NOUN
cana-2870	198	26	and	and	CCONJ
cana-2870	198	27	at	at	ADP
cana-2870	198	28	are	be	AUX
cana-2870	198	29	the	the	DET
cana-2870	198	30	predicted	predict	VERB
cana-2870	198	31	and	and	CCONJ
cana-2870	198	32	tested	test	VERB
cana-2870	198	33	prices	price	NOUN
cana-2870	198	34	,	,	PUNCT
cana-2870	198	35	and	and	CCONJ
cana-2870	198	36	n	n	PRON
cana-2870	198	37	is	be	AUX
cana-2870	198	38	the	the	DET
cana-2870	198	39	no	no	NOUN
cana-2870	198	40	of	of	ADP
cana-2870	198	41	time	time	NOUN
cana-2870	198	42	steps	step	VERB
cana-2870	198	43	the	the	DET
cana-2870	198	44	smaller	small	ADJ
cana-2870	198	45	the	the	DET
cana-2870	198	46	mape	mape	NOUN
cana-2870	198	47	,	,	PUNCT
cana-2870	198	48	the	the	DET
cana-2870	198	49	rmse	rmse	NOUN
cana-2870	198	50	,	,	PUNCT
cana-2870	198	51	the	the	DET
cana-2870	198	52	mae	mae	PROPN
cana-2870	198	53	and	and	CCONJ
cana-2870	198	54	the	the	DET
cana-2870	198	55	mse	mse	PROPN
cana-2870	198	56	values	value	NOUN
cana-2870	198	57	,	,	PUNCT
cana-2870	198	58	the	the	PRON
cana-2870	198	59	better	well	ADJ
cana-2870	198	60	the	the	DET
cana-2870	198	61	prediction	prediction	NOUN
cana-2870	198	62	model	model	NOUN
cana-2870	198	63	performance	performance	NOUN
cana-2870	198	64	4	4	NUM
cana-2870	198	65	.	.	PUNCT
cana-2870	198	66	results	result	NOUN
cana-2870	198	67	:	:	PUNCT
cana-2870	198	68	the	the	DET
cana-2870	198	69	outcomes	outcome	NOUN
cana-2870	198	70	of	of	ADP
cana-2870	198	71	using	use	VERB
cana-2870	198	72	these	these	DET
cana-2870	198	73	models	model	NOUN
cana-2870	198	74	to	to	PART
cana-2870	198	75	forecast	forecast	VERB
cana-2870	198	76	btc	btc	PROPN
cana-2870	198	77	,	,	PUNCT
cana-2870	198	78	eth	eth	NOUN
cana-2870	198	79	,	,	PUNCT
cana-2870	198	80	and	and	CCONJ
cana-2870	198	81	bnb	bnb	NOUN
cana-2870	198	82	are	be	AUX
cana-2870	198	83	shown	show	VERB
cana-2870	198	84	in	in	ADP
cana-2870	198	85	table	table	NOUN
cana-2870	198	86	3	3	NUM
cana-2870	198	87	,	,	PUNCT
cana-2870	198	88	whereby	whereby	SCONJ
cana-2870	198	89	the	the	DET
cana-2870	198	90	model	model	NOUN
cana-2870	198	91	exhibiting	exhibit	VERB
cana-2870	198	92	the	the	DET
cana-2870	198	93	lowest	low	ADJ
cana-2870	198	94	error	error	NOUN
cana-2870	198	95	values	value	NOUN
cana-2870	198	96	is	be	AUX
cana-2870	198	97	identified	identify	VERB
cana-2870	198	98	as	as	ADP
cana-2870	198	99	the	the	DET
cana-2870	198	100	most	most	ADV
cana-2870	198	101	efficient	efficient	ADJ
cana-2870	198	102	.	.	PUNCT
cana-2870	199	1	figures	figure	NOUN
cana-2870	199	2	10	10	NUM
cana-2870	199	3	-	-	SYM
cana-2870	199	4	21	21	NUM
cana-2870	199	5	provide	provide	VERB
cana-2870	199	6	a	a	DET
cana-2870	199	7	comparison	comparison	NOUN
cana-2870	199	8	between	between	ADP
cana-2870	199	9	actual	actual	ADJ
cana-2870	199	10	and	and	CCONJ
cana-2870	199	11	forecasted	forecast	VERB
cana-2870	199	12	values	value	NOUN
cana-2870	199	13	for	for	ADP
cana-2870	199	14	various	various	ADJ
cana-2870	199	15	currencies	currency	NOUN
cana-2870	199	16	.	.	PUNCT
cana-2870	200	1	the	the	DET
cana-2870	200	2	anticipated	anticipate	VERB
cana-2870	200	3	values	value	NOUN
cana-2870	200	4	closely	closely	ADV
cana-2870	200	5	align	align	VERB
cana-2870	200	6	with	with	ADP
cana-2870	200	7	the	the	DET
cana-2870	200	8	actual	actual	ADJ
cana-2870	200	9	ones	one	NOUN
cana-2870	200	10	;	;	PUNCT
cana-2870	200	11	nonetheless	nonetheless	ADV
cana-2870	200	12	,	,	PUNCT
cana-2870	200	13	minor	minor	ADJ
cana-2870	200	14	differences	difference	NOUN
cana-2870	200	15	exist	exist	VERB
cana-2870	200	16	.	.	PUNCT
cana-2870	201	1	the	the	DET
cana-2870	201	2	differences	difference	NOUN
cana-2870	201	3	are	be	AUX
cana-2870	201	4	illustrated	illustrate	VERB
cana-2870	201	5	by	by	ADP
cana-2870	201	6	the	the	DET
cana-2870	201	7	performance	performance	NOUN
cana-2870	201	8	measures	measure	NOUN
cana-2870	201	9	presented	present	VERB
cana-2870	201	10	in	in	ADP
cana-2870	201	11	table	table	NOUN
cana-2870	201	12	3	3	NUM
cana-2870	201	13	.	.	PUNCT
cana-2870	201	14	communications	communication	NOUN
cana-2870	201	15	on	on	ADP
cana-2870	201	16	applied	apply	VERB
cana-2870	201	17	nonlinear	nonlinear	ADJ
cana-2870	201	18	analysis	analysis	NOUN
cana-2870	201	19	issn	issn	NOUN
cana-2870	201	20	:	:	PUNCT
cana-2870	201	21	1074	1074	NUM
cana-2870	201	22	-	-	PUNCT
cana-2870	201	23	133x	133x	NUM
cana-2870	201	24	vol	vol	NOUN
cana-2870	201	25	32	32	NUM
cana-2870	201	26	no	no	NOUN
cana-2870	201	27	.	.	PUNCT
cana-2870	202	1	4s	4s	NUM
cana-2870	202	2	(	(	PUNCT
cana-2870	202	3	2025	2025	NUM
cana-2870	202	4	)	)	PUNCT
cana-2870	202	5	545	545	NUM
cana-2870	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	202	7	table	table	NOUN
cana-2870	202	8	3	3	NUM
cana-2870	202	9	.	.	PUNCT
cana-2870	202	10	proposed	propose	VERB
cana-2870	202	11	model	model	NOUN
cana-2870	202	12	performance	performance	NOUN
cana-2870	202	13	.	.	PUNCT
cana-2870	203	1	currency	currency	NOUN
cana-2870	203	2	model	model	PROPN
cana-2870	203	3	mape	mape	PROPN
cana-2870	203	4	rmse	rmse	PROPN
cana-2870	203	5	mae	mae	PROPN
cana-2870	203	6	mse	mse	PROPN
cana-2870	203	7	btc	btc	PROPN
cana-2870	203	8	lstm	lstm	PROPN
cana-2870	203	9	5.74517992	5.74517992	NUM
cana-2870	203	10	4476.194874	4476.194874	NUM
cana-2870	203	11	3688.774618	3688.774618	NUM
cana-2870	203	12	20036320.55	20036320.55	NUM
cana-2870	203	13	bi	bi	NOUN
cana-2870	203	14	-	-	NOUN
cana-2870	203	15	lstm	lstm	ADJ
cana-2870	203	16	5.34301493	5.34301493	NUM
cana-2870	203	17	3826.955086	3826.955086	NUM
cana-2870	203	18	3308.275949	3308.275949	NUM
cana-2870	203	19	14645585.23	14645585.23	NUM
cana-2870	203	20	gru	gru	NOUN
cana-2870	203	21	3.36340059	3.36340059	NUM
cana-2870	203	22	*	*	SYM
cana-2870	203	23	2603.043999	2603.043999	NOUN
cana-2870	203	24	*	*	SYM
cana-2870	203	25	2084.982958	2084.982958	NUM
cana-2870	203	26	*	*	PUNCT
cana-2870	203	27	6775838.062	6775838.062	NUM
cana-2870	203	28	*	*	PUNCT
cana-2870	203	29	eth	eth	PROPN
cana-2870	203	30	lstm	lstm	PROPN
cana-2870	204	1	3.90121391	3.90121391	NUM
cana-2870	204	2	157.7434218	157.7434218	NUM
cana-2870	204	3	124.2988898	124.2988898	NUM
cana-2870	204	4	24882.98712	24882.98712	NUM
cana-2870	204	5	bi	bi	NOUN
cana-2870	204	6	-	-	NOUN
cana-2870	204	7	lstm	lstm	ADJ
cana-2870	204	8	3.20296604	3.20296604	NUM
cana-2870	204	9	137.8613613	137.8613613	NUM
cana-2870	204	10	101.8942603	101.8942603	NUM
cana-2870	204	11	19005.75493	19005.75493	PROPN
cana-2870	204	12	gru	gru	NOUN
cana-2870	204	13	2.92115509	2.92115509	NUM
cana-2870	204	14	*	*	SYM
cana-2870	204	15	121.2087421	121.2087421	NUM
cana-2870	204	16	*	*	SYM
cana-2870	204	17	91.11290297	91.11290297	NUM
cana-2870	204	18	*	*	SYM
cana-2870	204	19	14691.55915	14691.55915	PROPN
cana-2870	204	20	*	*	SYM
cana-2870	204	21	bnb	bnb	NOUN
cana-2870	204	22	lstm	lstm	PROPN
cana-2870	204	23	3.002507352	3.002507352	NUM
cana-2870	204	24	21.1590163	21.1590163	NUM
cana-2870	204	25	14.69491963	14.69491963	NUM
cana-2870	204	26	447.704	447.704	NUM
cana-2870	204	27	bi	bi	NOUN
cana-2870	204	28	-	-	ADJ
cana-2870	204	29	lstm	lstm	ADJ
cana-2870	204	30	2.743532156	2.743532156	NUM
cana-2870	204	31	19.49814094	19.49814094	NUM
cana-2870	204	32	14.01106665	14.01106665	NUM
cana-2870	204	33	380.1775	380.1775	NUM
cana-2870	204	34	gru	gru	NOUN
cana-2870	204	35	2.562795642	2.562795642	NUM
cana-2870	204	36	*	*	SYM
cana-2870	204	37	19.98837011	19.98837011	NUM
cana-2870	204	38	*	*	SYM
cana-2870	204	39	13.28685417	13.28685417	NUM
cana-2870	204	40	*	*	PUNCT
cana-2870	204	41	399.5349	399.5349	NUM
cana-2870	204	42	*	*	NOUN
cana-2870	204	43	*	*	PUNCT
cana-2870	204	44	represents	represent	VERB
cana-2870	204	45	the	the	DET
cana-2870	204	46	high	high	ADJ
cana-2870	204	47	accuracy	accuracy	NOUN
cana-2870	204	48	of	of	ADP
cana-2870	204	49	gru	gru	PROPN
cana-2870	204	50	model	model	NOUN
cana-2870	204	51	4.1	4.1	NUM
cana-2870	204	52	.	.	PUNCT
cana-2870	205	1	results	result	NOUN
cana-2870	205	2	for	for	ADP
cana-2870	205	3	btc	btc	NOUN
cana-2870	205	4	:	:	PUNCT
cana-2870	205	5	table	table	NOUN
cana-2870	205	6	6	6	NUM
cana-2870	205	7	indicates	indicate	VERB
cana-2870	205	8	that	that	SCONJ
cana-2870	205	9	the	the	DET
cana-2870	205	10	gru	gru	PROPN
cana-2870	205	11	model	model	NOUN
cana-2870	205	12	forecasts	forecast	VERB
cana-2870	205	13	btc	btc	VERB
cana-2870	205	14	prices	price	NOUN
cana-2870	205	15	more	more	ADV
cana-2870	205	16	accurately	accurately	ADV
cana-2870	205	17	,	,	PUNCT
cana-2870	205	18	exhibiting	exhibit	VERB
cana-2870	205	19	the	the	DET
cana-2870	205	20	lowest	low	ADJ
cana-2870	205	21	rmse	rmse	NOUN
cana-2870	205	22	,	,	PUNCT
cana-2870	205	23	mse	mse	PROPN
cana-2870	205	24	,	,	PUNCT
cana-2870	205	25	mae	mae	PROPN
cana-2870	205	26	,	,	PUNCT
cana-2870	205	27	and	and	CCONJ
cana-2870	205	28	mape	mape	NOUN
cana-2870	205	29	values	value	NOUN
cana-2870	205	30	.	.	PUNCT
cana-2870	206	1	figure	figure	VERB
cana-2870	206	2	12	12	NUM
cana-2870	206	3	verifies	verifie	NOUN
cana-2870	206	4	that	that	PRON
cana-2870	206	5	the	the	DET
cana-2870	206	6	forecasts	forecast	NOUN
cana-2870	206	7	of	of	ADP
cana-2870	206	8	the	the	DET
cana-2870	206	9	gru	gru	NOUN
cana-2870	206	10	model	model	NOUN
cana-2870	206	11	align	align	VERB
cana-2870	206	12	with	with	ADP
cana-2870	206	13	actual	actual	ADJ
cana-2870	206	14	prices	price	NOUN
cana-2870	206	15	.	.	PUNCT
cana-2870	207	1	gru	gru	PROPN
cana-2870	207	2	forecasts	forecast	NOUN
cana-2870	207	3	btc	btc	ADJ
cana-2870	207	4	trends	trend	NOUN
cana-2870	207	5	more	more	ADV
cana-2870	207	6	effectively	effectively	ADV
cana-2870	207	7	than	than	ADP
cana-2870	207	8	lstm	lstm	NOUN
cana-2870	207	9	and	and	CCONJ
cana-2870	207	10	bi	bi	NOUN
cana-2870	207	11	-	-	NOUN
cana-2870	207	12	lstm	lstm	ADJ
cana-2870	207	13	,	,	PUNCT
cana-2870	207	14	with	with	ADP
cana-2870	207	15	a	a	DET
cana-2870	207	16	negligible	negligible	ADJ
cana-2870	207	17	difference	difference	NOUN
cana-2870	207	18	.	.	PUNCT
cana-2870	208	1	the	the	DET
cana-2870	208	2	bi	bi	ADJ
cana-2870	208	3	-	-	ADJ
cana-2870	208	4	lstm	lstm	ADJ
cana-2870	208	5	model	model	NOUN
cana-2870	208	6	ranks	rank	VERB
cana-2870	208	7	second	second	ADV
cana-2870	208	8	for	for	ADP
cana-2870	208	9	btc	btc	NOUN
cana-2870	208	10	,	,	PUNCT
cana-2870	208	11	with	with	ADP
cana-2870	208	12	somewhat	somewhat	ADV
cana-2870	208	13	elevated	elevated	ADJ
cana-2870	208	14	rmse	rmse	NOUN
cana-2870	208	15	,	,	PUNCT
cana-2870	208	16	mse	mse	PROPN
cana-2870	208	17	,	,	PUNCT
cana-2870	208	18	mae	mae	PROPN
cana-2870	208	19	,	,	PUNCT
cana-2870	208	20	and	and	CCONJ
cana-2870	208	21	mape	mape	NOUN
cana-2870	208	22	.	.	PUNCT
cana-2870	209	1	these	these	DET
cana-2870	209	2	findings	finding	NOUN
cana-2870	209	3	show	show	VERB
cana-2870	209	4	that	that	SCONJ
cana-2870	209	5	bidirectional	bidirectional	ADJ
cana-2870	209	6	rnn	rnn	PROPN
cana-2870	209	7	networks	network	NOUN
cana-2870	209	8	forecast	forecast	VERB
cana-2870	209	9	btc	btc	PROPN
cana-2870	209	10	prices	price	NOUN
cana-2870	209	11	better	well	ADV
cana-2870	209	12	than	than	ADP
cana-2870	209	13	conventional	conventional	ADJ
cana-2870	209	14	ones	one	NOUN
cana-2870	209	15	.	.	PUNCT
cana-2870	210	1	btc	btc	NOUN
cana-2870	210	2	figures	figure	NOUN
cana-2870	210	3	10–12	10–12	PROPN
cana-2870	210	4	compare	compare	NOUN
cana-2870	210	5	testing	testing	NOUN
cana-2870	210	6	data	datum	NOUN
cana-2870	210	7	set	set	VERB
cana-2870	210	8	and	and	CCONJ
cana-2870	210	9	predicted	predict	VERB
cana-2870	210	10	dataset	dataset	ADJ
cana-2870	210	11	prices	price	NOUN
cana-2870	210	12	for	for	ADP
cana-2870	210	13	the	the	DET
cana-2870	210	14	three	three	NUM
cana-2870	210	15	models	model	NOUN
cana-2870	210	16	.	.	PUNCT
cana-2870	211	1	fig.10	fig.10	PRON
cana-2870	211	2	actual	actual	ADJ
cana-2870	211	3	and	and	CCONJ
cana-2870	211	4	forecasted	forecast	VERB
cana-2870	211	5	btc	btc	ADJ
cana-2870	211	6	prices	price	NOUN
cana-2870	211	7	using	use	VERB
cana-2870	211	8	lstm	lstm	NOUN
cana-2870	211	9	.	.	PUNCT
cana-2870	212	1	fig.11	fig.11	PROPN
cana-2870	212	2	actual	actual	ADJ
cana-2870	212	3	and	and	CCONJ
cana-2870	212	4	forecasted	forecast	VERB
cana-2870	212	5	btc	btc	ADJ
cana-2870	212	6	prices	price	NOUN
cana-2870	212	7	using	use	VERB
cana-2870	212	8	bi	bi	ADJ
cana-2870	212	9	-	-	ADJ
cana-2870	212	10	lstm	lstm	ADJ
cana-2870	212	11	model	model	NOUN
cana-2870	212	12	.	.	PUNCT
cana-2870	213	1	communications	communication	NOUN
cana-2870	213	2	on	on	ADP
cana-2870	213	3	applied	apply	VERB
cana-2870	213	4	nonlinear	nonlinear	ADJ
cana-2870	213	5	analysis	analysis	NOUN
cana-2870	213	6	issn	issn	NOUN
cana-2870	213	7	:	:	PUNCT
cana-2870	213	8	1074	1074	NUM
cana-2870	213	9	-	-	PUNCT
cana-2870	213	10	133x	133x	NUM
cana-2870	213	11	vol	vol	NOUN
cana-2870	213	12	32	32	NUM
cana-2870	213	13	no	no	NOUN
cana-2870	213	14	.	.	PUNCT
cana-2870	214	1	4s	4s	NUM
cana-2870	214	2	(	(	PUNCT
cana-2870	214	3	2025	2025	NUM
cana-2870	214	4	)	)	PUNCT
cana-2870	214	5	546	546	NUM
cana-2870	214	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-2870	214	7	fig.12	fig.12	NOUN
cana-2870	214	8	actual	actual	ADJ
cana-2870	214	9	and	and	CCONJ
cana-2870	214	10	forecasted	forecast	VERB
cana-2870	214	11	btc	btc	ADJ
cana-2870	214	12	prices	price	NOUN
cana-2870	214	13	using	use	VERB
cana-2870	214	14	gru	gru	NOUN
cana-2870	214	15	model	model	NOUN
cana-2870	214	16	.	.	PUNCT
cana-2870	215	1	4.2	4.2	NUM
cana-2870	215	2	.	.	PUNCT
cana-2870	215	3	results	result	NOUN
cana-2870	215	4	for	for	ADP
cana-2870	215	5	eth	eth	NOUN
cana-2870	215	6	:	:	PUNCT
cana-2870	215	7	table	table	NOUN
cana-2870	215	8	3	3	NUM
cana-2870	215	9	indicates	indicate	VERB
cana-2870	215	10	that	that	SCONJ
cana-2870	215	11	the	the	DET
cana-2870	215	12	gru	gru	PROPN
cana-2870	215	13	model	model	NOUN
cana-2870	215	14	forecasts	forecast	VERB
cana-2870	215	15	eth	eth	PROPN
cana-2870	215	16	prices	price	NOUN
cana-2870	215	17	more	more	ADV
cana-2870	215	18	accurately	accurately	ADV
cana-2870	215	19	,	,	PUNCT
cana-2870	215	20	exhibiting	exhibit	VERB
cana-2870	215	21	the	the	DET
cana-2870	215	22	lowest	low	ADJ
cana-2870	215	23	rmse	rmse	NOUN
cana-2870	215	24	,	,	PUNCT
cana-2870	215	25	mse	mse	PROPN
cana-2870	215	26	,	,	PUNCT
cana-2870	215	27	mae	mae	PROPN
cana-2870	215	28	,	,	PUNCT
cana-2870	215	29	and	and	CCONJ
cana-2870	215	30	mape	mape	NOUN
cana-2870	215	31	.	.	PUNCT
cana-2870	216	1	figure	figure	VERB
cana-2870	216	2	15	15	NUM
cana-2870	216	3	verifies	verifie	NOUN
cana-2870	216	4	that	that	PRON
cana-2870	216	5	the	the	DET
cana-2870	216	6	forecasts	forecast	NOUN
cana-2870	216	7	of	of	ADP
cana-2870	216	8	the	the	DET
cana-2870	216	9	gru	gru	NOUN
cana-2870	216	10	model	model	NOUN
cana-2870	216	11	align	align	VERB
cana-2870	216	12	with	with	ADP
cana-2870	216	13	actual	actual	ADJ
cana-2870	216	14	prices	price	NOUN
cana-2870	216	15	.	.	PUNCT
cana-2870	217	1	gru	gru	PROPN
cana-2870	217	2	forecasts	forecast	NOUN
cana-2870	217	3	btc	btc	ADJ
cana-2870	217	4	trends	trend	NOUN
cana-2870	217	5	more	more	ADV
cana-2870	217	6	well	well	ADV
cana-2870	217	7	than	than	ADP
cana-2870	217	8	lstm	lstm	NOUN
cana-2870	217	9	and	and	CCONJ
cana-2870	217	10	bi	bi	NOUN
cana-2870	217	11	-	-	NOUN
cana-2870	217	12	lstm	lstm	ADJ
cana-2870	217	13	,	,	PUNCT
cana-2870	217	14	with	with	ADP
cana-2870	217	15	a	a	DET
cana-2870	217	16	negligible	negligible	ADJ
cana-2870	217	17	difference	difference	NOUN
cana-2870	217	18	.	.	PUNCT
cana-2870	218	1	the	the	DET
cana-2870	218	2	bi	bi	ADJ
cana-2870	218	3	-	-	ADJ
cana-2870	218	4	lstm	lstm	ADJ
cana-2870	218	5	model	model	NOUN
cana-2870	218	6	ranks	rank	VERB
cana-2870	218	7	second	second	ADV
cana-2870	218	8	for	for	ADP
cana-2870	218	9	eth	eth	NOUN
cana-2870	218	10	,	,	PUNCT
cana-2870	218	11	exhibiting	exhibit	VERB
cana-2870	218	12	somewhat	somewhat	ADV
cana-2870	218	13	elevated	elevated	ADJ
cana-2870	218	14	rmse	rmse	NOUN
cana-2870	218	15	,	,	PUNCT
cana-2870	218	16	mse	mse	PROPN
cana-2870	218	17	,	,	PUNCT
cana-2870	218	18	mae	mae	PROPN
cana-2870	218	19	,	,	PUNCT
cana-2870	218	20	and	and	CCONJ
cana-2870	218	21	mape	mape	NOUN
cana-2870	218	22	.	.	PUNCT
cana-2870	219	1	these	these	DET
cana-2870	219	2	data	datum	NOUN
cana-2870	219	3	indicate	indicate	VERB
cana-2870	219	4	that	that	SCONJ
cana-2870	219	5	bidirectional	bidirectional	ADJ
cana-2870	219	6	rnn	rnn	NOUN
cana-2870	219	7	networks	network	NOUN
cana-2870	219	8	predict	predict	VERB
cana-2870	219	9	eth	eth	PROPN
cana-2870	219	10	prices	price	NOUN
cana-2870	219	11	more	more	ADV
cana-2870	219	12	well	well	ADV
cana-2870	219	13	than	than	ADP
cana-2870	219	14	traditional	traditional	ADJ
cana-2870	219	15	models	model	NOUN
cana-2870	219	16	.	.	PUNCT
cana-2870	220	1	ethereum	ethereum	NOUN
cana-2870	220	2	figures	figure	VERB
cana-2870	220	3	13–15	13–15	PROPN
cana-2870	220	4	juxtapose	juxtapose	VERB
cana-2870	220	5	the	the	DET
cana-2870	220	6	testing	testing	NOUN
cana-2870	220	7	dataset	dataset	VERB
cana-2870	220	8	prices	price	NOUN
cana-2870	220	9	with	with	ADP
cana-2870	220	10	the	the	DET
cana-2870	220	11	anticipated	anticipate	VERB
cana-2870	220	12	dataset	dataset	NOUN
cana-2870	220	13	prices	price	NOUN
cana-2870	220	14	for	for	ADP
cana-2870	220	15	the	the	DET
cana-2870	220	16	three	three	NUM
cana-2870	220	17	models	model	NOUN
cana-2870	220	18	.	.	PUNCT
cana-2870	221	1	fig.13	fig.13	VERB
cana-2870	221	2	actual	actual	ADJ
cana-2870	221	3	and	and	CCONJ
cana-2870	221	4	forecasted	forecast	VERB
cana-2870	221	5	eth	eth	PROPN
cana-2870	221	6	prices	price	NOUN
cana-2870	221	7	using	use	VERB
cana-2870	221	8	the	the	DET
cana-2870	221	9	lstm	lstm	PROPN
cana-2870	221	10	model	model	NOUN
cana-2870	221	11	.	.	PUNCT
cana-2870	222	1	fig.14	fig.14	PRON
cana-2870	222	2	actual	actual	ADJ
cana-2870	222	3	and	and	CCONJ
cana-2870	222	4	forecasted	forecast	VERB
cana-2870	222	5	eth	eth	NOUN
cana-2870	222	6	prices	price	NOUN
cana-2870	222	7	using	use	VERB
cana-2870	222	8	the	the	DET
cana-2870	222	9	bi	bi	ADJ
cana-2870	222	10	-	-	ADJ
cana-2870	222	11	lstm	lstm	ADJ
cana-2870	222	12	model	model	NOUN
cana-2870	222	13	.	.	PUNCT
cana-2870	223	1	fig	fig	NOUN
cana-2870	223	2	.	.	PUNCT
cana-2870	224	1	15	15	NUM
cana-2870	224	2	.	.	PUNCT
cana-2870	225	1	actual	actual	ADJ
cana-2870	225	2	and	and	CCONJ
cana-2870	225	3	forecasted	forecast	VERB
cana-2870	225	4	eth	eth	PROPN
cana-2870	225	5	prices	price	NOUN
cana-2870	225	6	using	use	VERB
cana-2870	225	7	the	the	DET
cana-2870	225	8	gru	gru	NOUN
cana-2870	225	9	model	model	NOUN
cana-2870	225	10	.	.	PUNCT
cana-2870	226	1	4.3	4.3	NUM
cana-2870	226	2	.	.	PUNCT
cana-2870	226	3	results	result	NOUN
cana-2870	226	4	for	for	ADP
cana-2870	226	5	bnb	bnb	NOUN
cana-2870	226	6	:	:	PUNCT
cana-2870	226	7	table	table	NOUN
cana-2870	226	8	3	3	NUM
cana-2870	226	9	shows	show	VERB
cana-2870	226	10	the	the	DET
cana-2870	226	11	gru	gru	PROPN
cana-2870	226	12	model	model	NOUN
cana-2870	226	13	predicts	predict	VERB
cana-2870	226	14	bnb	bnb	NOUN
cana-2870	226	15	prices	price	NOUN
cana-2870	226	16	better	well	ADV
cana-2870	226	17	with	with	ADP
cana-2870	226	18	the	the	DET
cana-2870	226	19	lowest	low	ADJ
cana-2870	226	20	rmse	rmse	NOUN
cana-2870	226	21	,	,	PUNCT
cana-2870	226	22	mse	mse	PROPN
cana-2870	226	23	,	,	PUNCT
cana-2870	226	24	mae	mae	PROPN
cana-2870	226	25	and	and	CCONJ
cana-2870	226	26	mape	mape	NOUN
cana-2870	226	27	.	.	PUNCT
cana-2870	227	1	figure	figure	NOUN
cana-2870	227	2	18	18	NUM
cana-2870	227	3	confirms	confirm	VERB
cana-2870	227	4	that	that	SCONJ
cana-2870	227	5	gru	gru	NOUN
cana-2870	227	6	model	model	NOUN
cana-2870	227	7	projections	projection	NOUN
cana-2870	227	8	match	match	VERB
cana-2870	227	9	real	real	ADJ
cana-2870	227	10	prices	price	NOUN
cana-2870	227	11	.	.	PUNCT
cana-2870	228	1	gru	gru	PROPN
cana-2870	228	2	predicts	predict	VERB
cana-2870	228	3	btc	btc	ADJ
cana-2870	228	4	trends	trend	NOUN
cana-2870	228	5	better	well	ADV
cana-2870	228	6	than	than	ADP
cana-2870	228	7	lstm	lstm	NOUN
cana-2870	228	8	and	and	CCONJ
cana-2870	228	9	bi	bi	NOUN
cana-2870	228	10	-	-	NOUN
cana-2870	228	11	lstm	lstm	ADJ
cana-2870	228	12	,	,	PUNCT
cana-2870	228	13	with	with	ADP
cana-2870	228	14	a	a	DET
cana-2870	228	15	minor	minor	ADJ
cana-2870	228	16	difference	difference	NOUN
cana-2870	228	17	.	.	PUNCT
cana-2870	229	1	with	with	ADP
cana-2870	229	2	slightly	slightly	ADV
cana-2870	229	3	higher	high	ADJ
cana-2870	229	4	rmse	rmse	NOUN
cana-2870	229	5	,	,	PUNCT
cana-2870	229	6	mse	mse	PROPN
cana-2870	229	7	,	,	PUNCT
cana-2870	229	8	mae	mae	PROPN
cana-2870	229	9	and	and	CCONJ
cana-2870	229	10	mape	mape	NOUN
cana-2870	229	11	,	,	PUNCT
cana-2870	229	12	the	the	DET
cana-2870	229	13	bi	bi	ADJ
cana-2870	229	14	-	-	ADJ
cana-2870	229	15	lstm	lstm	ADJ
cana-2870	229	16	model	model	NOUN
cana-2870	229	17	is	be	AUX
cana-2870	229	18	second	second	ADV
cana-2870	229	19	-	-	PUNCT
cana-2870	229	20	best	good	ADJ
cana-2870	229	21	for	for	ADP
cana-2870	229	22	bnb	bnb	NOUN
cana-2870	229	23	.	.	PUNCT
cana-2870	230	1	these	these	PRON
cana-2870	230	2	findings	finding	VERB
cana-2870	230	3	communications	communication	NOUN
cana-2870	230	4	on	on	ADP
cana-2870	230	5	applied	apply	VERB
cana-2870	230	6	nonlinear	nonlinear	ADJ
cana-2870	230	7	analysis	analysis	NOUN
cana-2870	230	8	issn	issn	NOUN
cana-2870	230	9	:	:	PUNCT
cana-2870	230	10	1074	1074	NUM
cana-2870	230	11	-	-	PUNCT
cana-2870	230	12	133x	133x	NUM
cana-2870	230	13	vol	vol	NOUN
cana-2870	230	14	32	32	NUM
cana-2870	230	15	no	no	NOUN
cana-2870	230	16	.	.	PUNCT
cana-2870	231	1	4s	4s	NUM
cana-2870	231	2	(	(	PUNCT
cana-2870	231	3	2025	2025	NUM
cana-2870	231	4	)	)	PUNCT
cana-2870	231	5	547	547	NUM
cana-2870	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	231	7	show	show	VERB
cana-2870	231	8	that	that	SCONJ
cana-2870	231	9	bidirectional	bidirectional	ADJ
cana-2870	231	10	rnn	rnn	PROPN
cana-2870	231	11	networks	network	NOUN
cana-2870	231	12	forecast	forecast	VERB
cana-2870	231	13	bnb	bnb	NOUN
cana-2870	231	14	prices	price	NOUN
cana-2870	231	15	better	well	ADV
cana-2870	231	16	than	than	ADP
cana-2870	231	17	conventional	conventional	ADJ
cana-2870	231	18	ones	one	NOUN
cana-2870	231	19	.	.	PUNCT
cana-2870	232	1	bnb	bnb	NOUN
cana-2870	232	2	figures	figure	NOUN
cana-2870	232	3	16–18compare	16–18compare	NUM
cana-2870	233	1	testing	testing	NOUN
cana-2870	233	2	data	datum	NOUN
cana-2870	233	3	set	set	VERB
cana-2870	233	4	and	and	CCONJ
cana-2870	233	5	predicted	predict	VERB
cana-2870	233	6	dataset	dataset	ADJ
cana-2870	233	7	prices	price	NOUN
cana-2870	233	8	for	for	ADP
cana-2870	233	9	the	the	DET
cana-2870	233	10	three	three	NUM
cana-2870	233	11	models	model	NOUN
cana-2870	233	12	.	.	PUNCT
cana-2870	234	1	fig.16	fig.16	PROPN
cana-2870	234	2	actual	actual	ADJ
cana-2870	234	3	and	and	CCONJ
cana-2870	234	4	forecasted	forecast	VERB
cana-2870	234	5	bnb	bnb	NOUN
cana-2870	234	6	prices	price	NOUN
cana-2870	234	7	using	use	VERB
cana-2870	234	8	the	the	DET
cana-2870	234	9	lstm	lstm	PROPN
cana-2870	234	10	model	model	NOUN
cana-2870	234	11	.	.	PUNCT
cana-2870	235	1	fig.17	fig.17	X
cana-2870	235	2	actual	actual	ADJ
cana-2870	235	3	and	and	CCONJ
cana-2870	235	4	forecasted	forecast	VERB
cana-2870	235	5	bnb	bnb	NOUN
cana-2870	235	6	prices	price	NOUN
cana-2870	235	7	using	use	VERB
cana-2870	235	8	the	the	DET
cana-2870	235	9	bi	bi	ADJ
cana-2870	235	10	-	-	ADJ
cana-2870	235	11	lstm	lstm	ADJ
cana-2870	235	12	model	model	NOUN
cana-2870	235	13	.	.	PUNCT
cana-2870	236	1	fig.18	fig.18	ADJ
cana-2870	236	2	actual	actual	ADJ
cana-2870	236	3	and	and	CCONJ
cana-2870	236	4	forecasted	forecast	VERB
cana-2870	236	5	bnb	bnb	NOUN
cana-2870	236	6	prices	price	NOUN
cana-2870	236	7	using	use	VERB
cana-2870	236	8	the	the	DET
cana-2870	236	9	gru	gru	NOUN
cana-2870	236	10	model	model	NOUN
cana-2870	236	11	.	.	PUNCT
cana-2870	237	1	the	the	DET
cana-2870	237	2	gru	gru	NOUN
cana-2870	237	3	model	model	NOUN
cana-2870	237	4	surpasses	surpass	VERB
cana-2870	237	5	conventional	conventional	ADJ
cana-2870	237	6	lstm	lstm	NOUN
cana-2870	237	7	and	and	CCONJ
cana-2870	237	8	bi	bi	ADJ
cana-2870	237	9	-	-	ADJ
cana-2870	237	10	lstm	lstm	ADJ
cana-2870	237	11	networks	network	NOUN
cana-2870	237	12	in	in	ADP
cana-2870	237	13	forecasting	forecast	VERB
cana-2870	237	14	bitcoin	bitcoin	NOUN
cana-2870	237	15	prices	price	NOUN
cana-2870	237	16	.	.	PUNCT
cana-2870	238	1	figure	figure	VERB
cana-2870	238	2	19	19	NUM
cana-2870	238	3	-	-	SYM
cana-2870	238	4	21	21	NUM
cana-2870	238	5	depicts	depict	VERB
cana-2870	238	6	the	the	DET
cana-2870	238	7	disparity	disparity	NOUN
cana-2870	238	8	between	between	ADP
cana-2870	238	9	the	the	DET
cana-2870	238	10	actual	actual	ADJ
cana-2870	238	11	and	and	CCONJ
cana-2870	238	12	projected	project	VERB
cana-2870	238	13	values	value	NOUN
cana-2870	238	14	of	of	ADP
cana-2870	238	15	btc	btc	NOUN
cana-2870	238	16	,	,	PUNCT
cana-2870	238	17	eth	eth	NOUN
cana-2870	238	18	,	,	PUNCT
cana-2870	238	19	and	and	CCONJ
cana-2870	238	20	bnb	bnb	NOUN
cana-2870	238	21	using	use	VERB
cana-2870	238	22	the	the	DET
cana-2870	238	23	lstm	lstm	NOUN
cana-2870	238	24	,	,	PUNCT
cana-2870	238	25	bi	bi	NOUN
cana-2870	238	26	-	-	ADJ
cana-2870	238	27	lstm	lstm	ADJ
cana-2870	238	28	,	,	PUNCT
cana-2870	238	29	and	and	CCONJ
cana-2870	238	30	gru	gru	NOUN
cana-2870	238	31	models	model	NOUN
cana-2870	238	32	.	.	PUNCT
cana-2870	239	1	the	the	DET
cana-2870	239	2	predicted	predict	VERB
cana-2870	239	3	prices	price	NOUN
cana-2870	239	4	and	and	CCONJ
cana-2870	239	5	the	the	DET
cana-2870	239	6	actual	actual	ADJ
cana-2870	239	7	prices	price	NOUN
cana-2870	239	8	are	be	AUX
cana-2870	239	9	very	very	ADV
cana-2870	239	10	close	close	ADJ
cana-2870	239	11	,	,	PUNCT
cana-2870	239	12	as	as	SCONJ
cana-2870	239	13	shown	show	VERB
cana-2870	239	14	by	by	ADP
cana-2870	239	15	the	the	DET
cana-2870	239	16	error	error	NOUN
cana-2870	239	17	measures	measure	NOUN
cana-2870	239	18	such	such	ADJ
cana-2870	239	19	as	as	ADP
cana-2870	239	20	mape	mape	NOUN
cana-2870	239	21	,	,	PUNCT
cana-2870	239	22	rmse	rmse	NOUN
cana-2870	239	23	,	,	PUNCT
cana-2870	239	24	mae	mae	PROPN
cana-2870	239	25	,	,	PUNCT
cana-2870	239	26	and	and	CCONJ
cana-2870	239	27	mse	mse	NOUN
cana-2870	239	28	.	.	PUNCT
cana-2870	240	1	this	this	PRON
cana-2870	240	2	signifies	signify	VERB
cana-2870	240	3	that	that	SCONJ
cana-2870	240	4	the	the	DET
cana-2870	240	5	gru	gru	NOUN
cana-2870	240	6	model	model	NOUN
cana-2870	240	7	demonstrated	demonstrate	VERB
cana-2870	240	8	enhanced	enhanced	ADJ
cana-2870	240	9	accuracy	accuracy	NOUN
cana-2870	240	10	in	in	ADP
cana-2870	240	11	its	its	PRON
cana-2870	240	12	predictions	prediction	NOUN
cana-2870	240	13	compared	compare	VERB
cana-2870	240	14	to	to	ADP
cana-2870	240	15	lstm	lstm	NOUN
cana-2870	240	16	and	and	CCONJ
cana-2870	240	17	bi	bi	NOUN
cana-2870	240	18	-	-	NOUN
cana-2870	240	19	lstm	lstm	ADJ
cana-2870	240	20	.	.	PUNCT
cana-2870	241	1	fig.19	fig.19	ADJ
cana-2870	241	2	actual	actual	ADJ
cana-2870	241	3	data	datum	NOUN
cana-2870	241	4	set	set	VERB
cana-2870	241	5	and	and	CCONJ
cana-2870	241	6	predicted	predict	VERB
cana-2870	241	7	data	datum	NOUN
cana-2870	241	8	set	set	VERB
cana-2870	241	9	bitcoin	bitcoin	NOUN
cana-2870	241	10	prices	price	NOUN
cana-2870	241	11	using	use	VERB
cana-2870	241	12	the	the	DET
cana-2870	241	13	lstm	lstm	NOUN
cana-2870	241	14	,	,	PUNCT
cana-2870	241	15	bi	bi	NOUN
cana-2870	241	16	-	-	ADJ
cana-2870	241	17	lstm	lstm	ADJ
cana-2870	241	18	and	and	CCONJ
cana-2870	241	19	gru	gru	NOUN
cana-2870	241	20	models	model	NOUN
cana-2870	241	21	.	.	PUNCT
cana-2870	242	1	communications	communication	NOUN
cana-2870	242	2	on	on	ADP
cana-2870	242	3	applied	apply	VERB
cana-2870	242	4	nonlinear	nonlinear	ADJ
cana-2870	242	5	analysis	analysis	NOUN
cana-2870	242	6	issn	issn	NOUN
cana-2870	242	7	:	:	PUNCT
cana-2870	242	8	1074	1074	NUM
cana-2870	242	9	-	-	PUNCT
cana-2870	242	10	133x	133x	NUM
cana-2870	242	11	vol	vol	NOUN
cana-2870	242	12	32	32	NUM
cana-2870	242	13	no	no	NOUN
cana-2870	242	14	.	.	PUNCT
cana-2870	243	1	4s	4s	NUM
cana-2870	243	2	(	(	PUNCT
cana-2870	243	3	2025	2025	NUM
cana-2870	243	4	)	)	PUNCT
cana-2870	243	5	548	548	NUM
cana-2870	243	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	243	7	fig.20	fig.20	NOUN
cana-2870	243	8	actual	actual	ADJ
cana-2870	243	9	data	datum	NOUN
cana-2870	243	10	set	set	VERB
cana-2870	243	11	and	and	CCONJ
cana-2870	243	12	predicted	predict	VERB
cana-2870	243	13	data	datum	NOUN
cana-2870	243	14	set	set	VERB
cana-2870	243	15	ethereum	ethereum	NOUN
cana-2870	243	16	prices	price	NOUN
cana-2870	243	17	using	use	VERB
cana-2870	243	18	the	the	DET
cana-2870	243	19	lstm	lstm	NOUN
cana-2870	243	20	,	,	PUNCT
cana-2870	243	21	bi	bi	NOUN
cana-2870	243	22	-	-	ADJ
cana-2870	243	23	lstm	lstm	ADJ
cana-2870	243	24	and	and	CCONJ
cana-2870	243	25	gru	gru	NOUN
cana-2870	243	26	models	model	NOUN
cana-2870	243	27	.	.	PUNCT
cana-2870	244	1	fig.21	fig.21	PROPN
cana-2870	244	2	actual	actual	ADJ
cana-2870	244	3	data	datum	NOUN
cana-2870	244	4	set	set	VERB
cana-2870	244	5	and	and	CCONJ
cana-2870	244	6	predicted	predict	VERB
cana-2870	244	7	data	datum	NOUN
cana-2870	244	8	set	set	VERB
cana-2870	244	9	binance	binance	NOUN
cana-2870	244	10	prices	price	NOUN
cana-2870	244	11	using	use	VERB
cana-2870	244	12	the	the	DET
cana-2870	244	13	lstm	lstm	NOUN
cana-2870	244	14	,	,	PUNCT
cana-2870	244	15	bi	bi	NOUN
cana-2870	244	16	-	-	ADJ
cana-2870	244	17	lstm	lstm	ADJ
cana-2870	244	18	and	and	CCONJ
cana-2870	244	19	gru	gru	NOUN
cana-2870	244	20	models	model	NOUN
cana-2870	244	21	.	.	PUNCT
cana-2870	245	1	5	5	X
cana-2870	245	2	.	.	X
cana-2870	245	3	discussion	discussion	NOUN
cana-2870	245	4	:	:	PUNCT
cana-2870	245	5	the	the	DET
cana-2870	245	6	suggested	suggest	VERB
cana-2870	245	7	strategy	strategy	NOUN
cana-2870	245	8	for	for	ADP
cana-2870	245	9	predicting	predict	VERB
cana-2870	245	10	future	future	ADJ
cana-2870	245	11	bitcoin	bitcoin	NOUN
cana-2870	245	12	prices	price	NOUN
cana-2870	245	13	is	be	AUX
cana-2870	245	14	evaluated	evaluate	VERB
cana-2870	245	15	against	against	ADP
cana-2870	245	16	previous	previous	ADJ
cana-2870	245	17	models	model	NOUN
cana-2870	245	18	in	in	ADP
cana-2870	245	19	the	the	DET
cana-2870	245	20	literature	literature	NOUN
cana-2870	246	1	[	[	X
cana-2870	246	2	35,36	35,36	NUM
cana-2870	246	3	]	]	PUNCT
cana-2870	246	4	to	to	PART
cana-2870	246	5	determine	determine	VERB
cana-2870	246	6	its	its	PRON
cana-2870	246	7	performance	performance	NOUN
cana-2870	246	8	.	.	PUNCT
cana-2870	247	1	these	these	DET
cana-2870	247	2	models	model	NOUN
cana-2870	247	3	are	be	AUX
cana-2870	247	4	considered	consider	VERB
cana-2870	247	5	reliable	reliable	ADJ
cana-2870	247	6	and	and	CCONJ
cana-2870	247	7	appropriate	appropriate	ADJ
cana-2870	247	8	based	base	VERB
cana-2870	247	9	on	on	ADP
cana-2870	247	10	the	the	DET
cana-2870	247	11	assessment	assessment	NOUN
cana-2870	247	12	techniques	technique	NOUN
cana-2870	247	13	and	and	CCONJ
cana-2870	247	14	outcomes	outcome	NOUN
cana-2870	247	15	.	.	PUNCT
cana-2870	248	1	nevertheless	nevertheless	ADV
cana-2870	248	2	,	,	PUNCT
cana-2870	248	3	it	it	PRON
cana-2870	248	4	is	be	AUX
cana-2870	248	5	important	important	ADJ
cana-2870	248	6	to	to	PART
cana-2870	248	7	acknowledge	acknowledge	VERB
cana-2870	248	8	that	that	SCONJ
cana-2870	248	9	these	these	DET
cana-2870	248	10	models	model	NOUN
cana-2870	248	11	possess	possess	VERB
cana-2870	248	12	many	many	ADJ
cana-2870	248	13	constraints	constraint	NOUN
cana-2870	248	14	that	that	PRON
cana-2870	248	15	might	might	AUX
cana-2870	248	16	affect	affect	VERB
cana-2870	248	17	their	their	PRON
cana-2870	248	18	precision	precision	NOUN
cana-2870	248	19	in	in	ADP
cana-2870	248	20	forecasting	forecast	VERB
cana-2870	248	21	bitcoin	bitcoin	NOUN
cana-2870	248	22	prices	price	NOUN
cana-2870	248	23	.	.	PUNCT
cana-2870	249	1	lstms	lstms	ADJ
cana-2870	249	2	,	,	PUNCT
cana-2870	249	3	grus	grus	NOUN
cana-2870	249	4	,	,	PUNCT
cana-2870	249	5	and	and	CCONJ
cana-2870	249	6	bi	bi	ADJ
cana-2870	249	7	-	-	ADJ
cana-2870	249	8	lstms	lstms	ADJ
cana-2870	249	9	may	may	AUX
cana-2870	249	10	not	not	PART
cana-2870	249	11	capture	capture	VERB
cana-2870	249	12	all	all	PRON
cana-2870	249	13	of	of	ADP
cana-2870	249	14	the	the	DET
cana-2870	249	15	linkages	linkage	NOUN
cana-2870	249	16	that	that	PRON
cana-2870	249	17	affect	affect	VERB
cana-2870	249	18	cryptocurrency	cryptocurrency	NOUN
cana-2870	249	19	values	value	NOUN
cana-2870	249	20	,	,	PUNCT
cana-2870	249	21	leading	lead	VERB
cana-2870	249	22	in	in	ADP
cana-2870	249	23	poor	poor	ADJ
cana-2870	249	24	projections	projection	NOUN
cana-2870	249	25	.	.	PUNCT
cana-2870	250	1	these	these	DET
cana-2870	250	2	models	model	NOUN
cana-2870	250	3	also	also	ADV
cana-2870	250	4	overfit	overfit	VERB
cana-2870	250	5	,	,	PUNCT
cana-2870	250	6	especially	especially	ADV
cana-2870	250	7	when	when	SCONJ
cana-2870	250	8	trained	train	VERB
cana-2870	250	9	on	on	ADP
cana-2870	250	10	small	small	ADJ
cana-2870	250	11	datasets	dataset	NOUN
cana-2870	250	12	,	,	PUNCT
cana-2870	250	13	resulting	result	VERB
cana-2870	250	14	in	in	ADP
cana-2870	250	15	poor	poor	ADJ
cana-2870	250	16	performance	performance	NOUN
cana-2870	250	17	on	on	ADP
cana-2870	250	18	novel	novel	ADJ
cana-2870	250	19	data	datum	NOUN
cana-2870	250	20	.	.	PUNCT
cana-2870	251	1	these	these	DET
cana-2870	251	2	models	model	NOUN
cana-2870	251	3	also	also	ADV
cana-2870	251	4	struggle	struggle	VERB
cana-2870	251	5	to	to	PART
cana-2870	251	6	capture	capture	VERB
cana-2870	251	7	basic	basic	ADJ
cana-2870	251	8	trends	trend	NOUN
cana-2870	251	9	since	since	SCONJ
cana-2870	251	10	cryptocurrency	cryptocurrency	NOUN
cana-2870	251	11	prices	price	NOUN
cana-2870	251	12	fluctuate	fluctuate	NOUN
cana-2870	251	13	and	and	CCONJ
cana-2870	251	14	are	be	AUX
cana-2870	251	15	unstable	unstable	ADJ
cana-2870	251	16	.	.	PUNCT
cana-2870	252	1	table	table	NOUN
cana-2870	252	2	4	4	NUM
cana-2870	252	3	contrasts	contrast	NOUN
cana-2870	252	4	study	study	NOUN
cana-2870	252	5	rmse	rmse	NOUN
cana-2870	252	6	and	and	CCONJ
cana-2870	252	7	mape	mape	NOUN
cana-2870	252	8	outcomes	outcome	NOUN
cana-2870	252	9	.	.	PUNCT
cana-2870	253	1	the	the	DET
cana-2870	253	2	three	three	NUM
cana-2870	253	3	strategies	strategy	NOUN
cana-2870	253	4	are	be	AUX
cana-2870	253	5	successful	successful	ADJ
cana-2870	253	6	and	and	CCONJ
cana-2870	253	7	equivalent	equivalent	ADJ
cana-2870	253	8	to	to	ADP
cana-2870	253	9	literary	literary	ADJ
cana-2870	253	10	methods	method	NOUN
cana-2870	253	11	.	.	PUNCT
cana-2870	254	1	mape	mape	NOUN
cana-2870	254	2	results	result	NOUN
cana-2870	254	3	show	show	VERB
cana-2870	254	4	that	that	SCONJ
cana-2870	254	5	the	the	DET
cana-2870	254	6	gru	gru	NOUN
cana-2870	254	7	outperformed	outperform	VERB
cana-2870	254	8	the	the	DET
cana-2870	254	9	standard	standard	ADJ
cana-2870	254	10	bi	bi	ADJ
cana-2870	254	11	-	-	ADJ
cana-2870	254	12	lstm	lstm	ADJ
cana-2870	254	13	and	and	CCONJ
cana-2870	254	14	lstm	lstm	NOUN
cana-2870	254	15	models	model	NOUN
cana-2870	254	16	in	in	ADP
cana-2870	254	17	predicting	predict	VERB
cana-2870	254	18	the	the	DET
cana-2870	254	19	prices	price	NOUN
cana-2870	254	20	of	of	ADP
cana-2870	254	21	all	all	DET
cana-2870	254	22	three	three	NUM
cana-2870	254	23	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	254	24	studied	study	VERB
cana-2870	254	25	.	.	PUNCT
cana-2870	255	1	table	table	NOUN
cana-2870	255	2	4	4	NUM
cana-2870	255	3	.	.	PUNCT
cana-2870	255	4	relative	relative	ADJ
cana-2870	255	5	comparison	comparison	NOUN
cana-2870	255	6	with	with	ADP
cana-2870	255	7	similar	similar	ADJ
cana-2870	255	8	studies	study	NOUN
cana-2870	255	9	author	author	NOUN
cana-2870	255	10	’s	’s	PART
cana-2870	255	11	cryptocurrency	cryptocurrency	NOUN
cana-2870	255	12	method	method	NOUN
cana-2870	255	13	’s	’s	PART
cana-2870	255	14	mape	mape	NOUN
cana-2870	255	15	rmse	rmse	NOUN
cana-2870	256	1	[	[	X
cana-2870	256	2	35	35	NUM
cana-2870	256	3	]	]	X
cana-2870	256	4	btc	btc	ADJ
cana-2870	256	5	usd	usd	PROPN
cana-2870	256	6	lstm	lstm	NOUN
cana-2870	256	7	4.2	4.2	NUM
cana-2870	256	8	2518.02	2518.02	NUM
cana-2870	256	9	bi	bi	NOUN
cana-2870	256	10	-	-	ADJ
cana-2870	256	11	lstm	lstm	ADJ
cana-2870	256	12	3.8	3.8	NUM
cana-2870	256	13	2222.74	2222.74	NUM
cana-2870	256	14	gru	gru	NOUN
cana-2870	256	15	3.5	3.5	NUM
cana-2870	256	16	1777.31	1777.31	NUM
cana-2870	256	17	[	[	SYM
cana-2870	256	18	35	35	NUM
cana-2870	256	19	]	]	X
cana-2870	256	20	eth	eth	X
cana-2870	256	21	-usd	-usd	PUNCT
cana-2870	256	22	lstm	lstm	PROPN
cana-2870	256	23	6.4	6.4	NUM
cana-2870	256	24	150.09	150.09	NUM
cana-2870	256	25	bi	bi	NOUN
cana-2870	256	26	-	-	ADJ
cana-2870	256	27	lstm	lstm	ADJ
cana-2870	256	28	6.0	6.0	NUM
cana-2870	256	29	147.85	147.85	NUM
cana-2870	256	30	gru	gru	NOUN
cana-2870	256	31	5.7	5.7	NUM
cana-2870	256	32	151.62	151.62	NUM
cana-2870	256	33	[	[	SYM
cana-2870	256	34	36	36	NUM
cana-2870	256	35	]	]	X
cana-2870	256	36	btc	btc	PROPN
cana-2870	256	37	usd	usd	NOUN
cana-2870	256	38	lstm	lstm	NOUN
cana-2870	256	39	4.0	4.0	NUM
cana-2870	256	40	2350.53	2350.53	NUM
cana-2870	256	41	bi	bi	NOUN
cana-2870	256	42	-	-	ADJ
cana-2870	256	43	lstm	lstm	ADJ
cana-2870	256	44	3.3	3.3	NUM
cana-2870	256	45	1992.88	1992.88	NUM
cana-2870	256	46	gru	gru	PROPN
cana-2870	256	47	5.3	5.3	NUM
cana-2870	256	48	.	.	PUNCT
cana-2870	257	1	3223.01	3223.01	NUM
cana-2870	257	2	communications	communication	NOUN
cana-2870	257	3	on	on	ADP
cana-2870	257	4	applied	apply	VERB
cana-2870	257	5	nonlinear	nonlinear	ADJ
cana-2870	257	6	analysis	analysis	NOUN
cana-2870	257	7	issn	issn	NOUN
cana-2870	257	8	:	:	PUNCT
cana-2870	257	9	1074	1074	NUM
cana-2870	257	10	-	-	PUNCT
cana-2870	257	11	133x	133x	NUM
cana-2870	257	12	vol	vol	NOUN
cana-2870	257	13	32	32	NUM
cana-2870	257	14	no	no	NOUN
cana-2870	257	15	.	.	PUNCT
cana-2870	258	1	4s	4s	NUM
cana-2870	258	2	(	(	PUNCT
cana-2870	258	3	2025	2025	NUM
cana-2870	258	4	)	)	PUNCT
cana-2870	258	5	549	549	NUM
cana-2870	258	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	259	1	[	[	X
cana-2870	259	2	36	36	NUM
cana-2870	259	3	]	]	X
cana-2870	259	4	eth	eth	X
cana-2870	259	5	-usd	-usd	PUNCT
cana-2870	259	6	lstm	lstm	PROPN
cana-2870	259	7	4.7	4.7	NUM
cana-2870	259	8	18384	18384	NUM
cana-2870	259	9	bi	bi	NOUN
cana-2870	259	10	-	-	ADJ
cana-2870	259	11	lstm	lstm	ADJ
cana-2870	259	12	4.2	4.2	NUM
cana-2870	259	13	16860	16860	NUM
cana-2870	259	14	gru	gru	VERB
cana-2870	259	15	4.7	4.7	NUM
cana-2870	259	16	18103	18103	NUM
cana-2870	259	17	[	[	X
cana-2870	259	18	36	36	NUM
cana-2870	259	19	]	]	X
cana-2870	260	1	xrp	xrp	PROPN
cana-2870	260	2	-usd	-usd	PROPN
cana-2870	260	3	lstm	lstm	PROPN
cana-2870	260	4	6.3	6.3	NUM
cana-2870	260	5	98	98	NUM
cana-2870	260	6	bi	bi	NOUN
cana-2870	260	7	-	-	ADJ
cana-2870	260	8	lstm	lstm	ADJ
cana-2870	260	9	4.8	4.8	NUM
cana-2870	260	10	79	79	NUM
cana-2870	260	11	gru	gru	NOUN
cana-2870	260	12	7.2	7.2	NUM
cana-2870	260	13	104	104	NUM
cana-2870	260	14	proposed	propose	VERB
cana-2870	260	15	approach	approach	NOUN
cana-2870	260	16	btc	btc	VERB
cana-2870	260	17	usd	usd	NOUN
cana-2870	260	18	lstm	lstm	NOUN
cana-2870	260	19	5.74517992	5.74517992	NUM
cana-2870	260	20	4476.194874	4476.194874	NUM
cana-2870	260	21	bi	bi	NOUN
cana-2870	260	22	-	-	ADJ
cana-2870	260	23	lstm	lstm	ADJ
cana-2870	260	24	5.34301493	5.34301493	NUM
cana-2870	260	25	3826.955086	3826.955086	NUM
cana-2870	260	26	gru	gru	NOUN
cana-2870	260	27	3.36340059	3.36340059	NUM
cana-2870	260	28	2603.043999	2603.043999	NUM
cana-2870	260	29	proposed	propose	VERB
cana-2870	260	30	approach	approach	NOUN
cana-2870	260	31	eth	eth	NOUN
cana-2870	260	32	-usd	-usd	PUNCT
cana-2870	260	33	lstm	lstm	PROPN
cana-2870	260	34	3.90121391	3.90121391	NUM
cana-2870	260	35	157.7434218	157.7434218	NUM
cana-2870	260	36	bi	bi	NOUN
cana-2870	260	37	-	-	ADJ
cana-2870	260	38	lstm	lstm	ADJ
cana-2870	260	39	3.20296604	3.20296604	NUM
cana-2870	260	40	137.8613613	137.8613613	NUM
cana-2870	260	41	gru	gru	PROPN
cana-2870	260	42	2.92115509	2.92115509	NUM
cana-2870	260	43	121.2087421	121.2087421	NUM
cana-2870	260	44	proposed	propose	VERB
cana-2870	260	45	approach	approach	NOUN
cana-2870	260	46	bnb	bnb	NOUN
cana-2870	260	47	-	-	PUNCT
cana-2870	260	48	usd	usd	NOUN
cana-2870	260	49	lstm	lstm	NOUN
cana-2870	260	50	3.002507352	3.002507352	NUM
cana-2870	260	51	21.1590163	21.1590163	NUM
cana-2870	260	52	bi	bi	ADJ
cana-2870	260	53	-	-	ADJ
cana-2870	260	54	lstm	lstm	ADJ
cana-2870	260	55	2.743532156	2.743532156	NUM
cana-2870	260	56	19.49814094	19.49814094	NUM
cana-2870	260	57	gru	gru	NOUN
cana-2870	260	58	2.562795642	2.562795642	NUM
cana-2870	260	59	19.98837011	19.98837011	NUM
cana-2870	260	60	6	6	NUM
cana-2870	260	61	.	.	PUNCT
cana-2870	261	1	conclusion	conclusion	NOUN
cana-2870	261	2	:	:	PUNCT
cana-2870	261	3	this	this	DET
cana-2870	261	4	study	study	NOUN
cana-2870	261	5	predicts	predict	VERB
cana-2870	261	6	btc	btc	NOUN
cana-2870	261	7	,	,	PUNCT
cana-2870	261	8	eth	eth	NOUN
cana-2870	261	9	,	,	PUNCT
cana-2870	261	10	and	and	CCONJ
cana-2870	261	11	bnb	bnb	NOUN
cana-2870	261	12	values	value	NOUN
cana-2870	261	13	using	use	VERB
cana-2870	261	14	three	three	NUM
cana-2870	261	15	deep	deep	ADJ
cana-2870	261	16	learning	learning	NOUN
cana-2870	261	17	algorithms	algorithm	NOUN
cana-2870	261	18	.	.	PUNCT
cana-2870	262	1	tables	table	NOUN
cana-2870	262	2	3	3	NUM
cana-2870	262	3	display	display	NOUN
cana-2870	262	4	model	model	NOUN
cana-2870	262	5	performance	performance	NOUN
cana-2870	262	6	metrics	metric	NOUN
cana-2870	262	7	.	.	PUNCT
cana-2870	263	1	we	we	PRON
cana-2870	263	2	then	then	ADV
cana-2870	263	3	compared	compare	VERB
cana-2870	263	4	test	test	NOUN
cana-2870	263	5	and	and	CCONJ
cana-2870	263	6	predicted	predict	VERB
cana-2870	263	7	data	datum	NOUN
cana-2870	263	8	set	set	VERB
cana-2870	263	9	pricing	pricing	NOUN
cana-2870	263	10	.	.	PUNCT
cana-2870	264	1	gru	gru	PROPN
cana-2870	264	2	outperformed	outperform	VERB
cana-2870	264	3	the	the	DET
cana-2870	264	4	other	other	ADJ
cana-2870	264	5	algorithms	algorithm	NOUN
cana-2870	264	6	with	with	ADP
cana-2870	264	7	btc	btc	PROPN
cana-2870	264	8	,	,	PUNCT
cana-2870	264	9	eth	eth	NOUN
cana-2870	264	10	,	,	PUNCT
cana-2870	264	11	and	and	CCONJ
cana-2870	264	12	bnb	bnb	NOUN
cana-2870	264	13	mape	mape	NOUN
cana-2870	264	14	values	value	NOUN
cana-2870	264	15	of	of	ADP
cana-2870	264	16	2.859813	2.859813	NUM
cana-2870	264	17	,	,	PUNCT
cana-2870	264	18	2.51626	2.51626	NUM
cana-2870	264	19	,	,	PUNCT
cana-2870	264	20	and	and	CCONJ
cana-2870	264	21	4.327951	4.327951	NUM
cana-2870	264	22	.	.	PUNCT
cana-2870	265	1	metrics	metric	NOUN
cana-2870	265	2	imply	imply	VERB
cana-2870	265	3	the	the	DET
cana-2870	265	4	proposed	propose	VERB
cana-2870	265	5	gru	gru	NOUN
cana-2870	265	6	model	model	NOUN
cana-2870	265	7	is	be	AUX
cana-2870	265	8	more	more	ADV
cana-2870	265	9	accurate	accurate	ADJ
cana-2870	265	10	.	.	PUNCT
cana-2870	266	1	the	the	DET
cana-2870	266	2	lstm	lstm	PROPN
cana-2870	266	3	and	and	CCONJ
cana-2870	266	4	bi	bi	ADJ
cana-2870	266	5	-	-	ADJ
cana-2870	266	6	lstm	lstm	ADJ
cana-2870	266	7	models	model	NOUN
cana-2870	266	8	also	also	ADV
cana-2870	266	9	performed	perform	VERB
cana-2870	266	10	better	well	ADV
cana-2870	266	11	.	.	PUNCT
cana-2870	267	1	this	this	DET
cana-2870	267	2	study	study	NOUN
cana-2870	267	3	shows	show	VERB
cana-2870	267	4	that	that	SCONJ
cana-2870	267	5	deep	deep	ADJ
cana-2870	267	6	learning	learning	NOUN
cana-2870	267	7	models	model	NOUN
cana-2870	267	8	can	can	AUX
cana-2870	267	9	anticipate	anticipate	VERB
cana-2870	267	10	cryptocurrency	cryptocurrency	NOUN
cana-2870	267	11	prices	price	NOUN
cana-2870	267	12	,	,	PUNCT
cana-2870	267	13	but	but	CCONJ
cana-2870	267	14	further	further	ADJ
cana-2870	267	15	research	research	NOUN
cana-2870	267	16	is	be	AUX
cana-2870	267	17	needed	need	VERB
cana-2870	267	18	.	.	PUNCT
cana-2870	268	1	advanced	advanced	ADJ
cana-2870	268	2	hyperparameter	hyperparameter	NOUN
cana-2870	268	3	tweaking	tweaking	NOUN
cana-2870	268	4	,	,	PUNCT
cana-2870	268	5	adding	add	VERB
cana-2870	268	6	macroeconomic	macroeconomic	ADJ
cana-2870	268	7	variables	variable	NOUN
cana-2870	268	8	or	or	CCONJ
cana-2870	268	9	blockchain	blockchain	NOUN
cana-2870	268	10	metrics	metric	NOUN
cana-2870	268	11	,	,	PUNCT
cana-2870	268	12	and	and	CCONJ
cana-2870	268	13	using	use	VERB
cana-2870	268	14	hybrid	hybrid	ADJ
cana-2870	268	15	models	model	NOUN
cana-2870	268	16	like	like	ADP
cana-2870	268	17	gru	gru	NOUN
cana-2870	268	18	-	-	NOUN
cana-2870	268	19	lstm	lstm	ADJ
cana-2870	268	20	to	to	PART
cana-2870	268	21	improve	improve	VERB
cana-2870	268	22	accuracy	accuracy	NOUN
cana-2870	268	23	may	may	AUX
cana-2870	268	24	be	be	AUX
cana-2870	268	25	future	future	ADJ
cana-2870	268	26	research	research	NOUN
cana-2870	268	27	.	.	PUNCT
cana-2870	269	1	applying	apply	VERB
cana-2870	269	2	the	the	DET
cana-2870	269	3	method	method	NOUN
cana-2870	269	4	to	to	ADP
cana-2870	269	5	additional	additional	ADJ
cana-2870	269	6	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	269	7	,	,	PUNCT
cana-2870	269	8	creating	create	VERB
cana-2870	269	9	real	real	ADJ
cana-2870	269	10	-	-	PUNCT
cana-2870	269	11	time	time	NOUN
cana-2870	269	12	prediction	prediction	NOUN
cana-2870	269	13	systems	system	NOUN
cana-2870	269	14	for	for	ADP
cana-2870	269	15	trading	trading	NOUN
cana-2870	269	16	,	,	PUNCT
cana-2870	269	17	and	and	CCONJ
cana-2870	269	18	using	use	VERB
cana-2870	269	19	explainability	explainability	NOUN
cana-2870	269	20	methods	method	NOUN
cana-2870	269	21	like	like	ADP
cana-2870	269	22	shap	shap	NOUN
cana-2870	269	23	or	or	CCONJ
cana-2870	269	24	lime	lime	NOUN
cana-2870	269	25	to	to	PART
cana-2870	269	26	increase	increase	VERB
cana-2870	269	27	model	model	NOUN
cana-2870	269	28	interpretability	interpretability	NOUN
cana-2870	269	29	seem	seem	VERB
cana-2870	269	30	promising	promise	VERB
cana-2870	269	31	.	.	PUNCT
cana-2870	270	1	references	reference	NOUN
cana-2870	270	2	[	[	X
cana-2870	270	3	1	1	X
cana-2870	270	4	]	]	PUNCT
cana-2870	270	5	j.	j.	PROPN
cana-2870	270	6	melitz	melitz	PROPN
cana-2870	270	7	,	,	PUNCT
cana-2870	270	8	dp178	dp178	PROPN
cana-2870	270	9	monetary	monetary	ADJ
cana-2870	270	10	discipline	discipline	NOUN
cana-2870	270	11	,	,	PUNCT
cana-2870	270	12	germany	germany	PROPN
cana-2870	270	13	,	,	PUNCT
cana-2870	270	14	and	and	CCONJ
cana-2870	270	15	the	the	DET
cana-2870	270	16	european	european	ADJ
cana-2870	270	17	monetary	monetary	ADJ
cana-2870	270	18	system	system	NOUN
cana-2870	270	19	,	,	PUNCT
cana-2870	270	20	national	national	ADJ
cana-2870	270	21	bureau	bureau	PROPN
cana-2870	270	22	of	of	ADP
cana-2870	270	23	economic	economic	ADJ
cana-2870	270	24	research	research	NOUN
cana-2870	270	25	(	(	PUNCT
cana-2870	270	26	nber	nber	PROPN
cana-2870	270	27	)	)	PUNCT
cana-2870	270	28	working	work	VERB
cana-2870	270	29	paper	paper	NOUN
cana-2870	270	30	no	no	INTJ
cana-2870	270	31	.	.	PROPN
cana-2870	270	32	2319	2319	NUM
cana-2870	270	33	,	,	PUNCT
cana-2870	270	34	national	national	ADJ
cana-2870	270	35	bureau	bureau	PROPN
cana-2870	270	36	of	of	ADP
cana-2870	270	37	economic	economic	ADJ
cana-2870	270	38	research	research	NOUN
cana-2870	270	39	(	(	PUNCT
cana-2870	270	40	nber	nber	PROPN
cana-2870	270	41	)	)	PUNCT
cana-2870	270	42	,	,	PUNCT
cana-2870	270	43	cambridge	cambridge	PROPN
cana-2870	270	44	,	,	PUNCT
cana-2870	270	45	ma	ma	PROPN
cana-2870	270	46	,	,	PUNCT
cana-2870	270	47	usa	usa	PROPN
cana-2870	270	48	,	,	PUNCT
cana-2870	270	49	1987	1987	NUM
cana-2870	270	50	.	.	PUNCT
cana-2870	271	1	[	[	X
cana-2870	271	2	online	online	X
cana-2870	271	3	]	]	X
cana-2870	271	4	.	.	PUNCT
cana-2870	272	1	available	available	ADJ
cana-2870	272	2	:	:	PUNCT
cana-2870	273	1	https://ssrn.com/abstract=884539	https://ssrn.com/abstract=884539	PRON
cana-2870	273	2	[	[	X
cana-2870	273	3	accessed	access	VERB
cana-2870	273	4	:	:	PUNCT
cana-2870	273	5	sep	sep	PROPN
cana-2870	273	6	.	.	PROPN
cana-2870	273	7	24	24	NUM
cana-2870	273	8	,	,	PUNCT
cana-2870	273	9	2022	2022	NUM
cana-2870	273	10	]	]	PUNCT
cana-2870	273	11	.	.	PUNCT
cana-2870	274	1	[	[	X
cana-2870	274	2	2	2	NUM
cana-2870	274	3	]	]	PUNCT
cana-2870	274	4	a.	a.	NOUN
cana-2870	274	5	bulír	bulír	NOUN
cana-2870	274	6	,	,	PUNCT
cana-2870	274	7	"	"	PUNCT
cana-2870	274	8	income	income	NOUN
cana-2870	274	9	inequality	inequality	NOUN
cana-2870	274	10	:	:	PUNCT
cana-2870	274	11	does	do	AUX
cana-2870	274	12	inflation	inflation	NOUN
cana-2870	274	13	matter	matter	NOUN
cana-2870	274	14	?	?	PUNCT
cana-2870	274	15	"	"	PUNCT
cana-2870	275	1	imf	imf	PROPN
cana-2870	275	2	staff	staff	NOUN
cana-2870	275	3	papers	paper	NOUN
cana-2870	275	4	,	,	PUNCT
cana-2870	275	5	vol	vol	NOUN
cana-2870	275	6	.	.	PROPN
cana-2870	275	7	48	48	NUM
cana-2870	275	8	,	,	PUNCT
cana-2870	275	9	pp	pp	ADJ
cana-2870	275	10	.	.	PUNCT
cana-2870	276	1	139–159	139–159	NUM
cana-2870	276	2	,	,	PUNCT
cana-2870	276	3	2001	2001	NUM
cana-2870	276	4	.	.	PUNCT
cana-2870	277	1	[	[	X
cana-2870	277	2	3	3	X
cana-2870	277	3	]	]	PUNCT
cana-2870	277	4	s.	s.	PROPN
cana-2870	277	5	basco	basco	PROPN
cana-2870	277	6	,	,	PUNCT
cana-2870	277	7	"	"	PUNCT
cana-2870	277	8	globalization	globalization	NOUN
cana-2870	277	9	and	and	CCONJ
cana-2870	277	10	financial	financial	ADJ
cana-2870	277	11	development	development	NOUN
cana-2870	277	12	:	:	PUNCT
cana-2870	277	13	a	a	DET
cana-2870	277	14	model	model	NOUN
cana-2870	277	15	of	of	ADP
cana-2870	277	16	the	the	DET
cana-2870	277	17	dot	dot	NOUN
cana-2870	277	18	-	-	PUNCT
cana-2870	277	19	com	com	NOUN
cana-2870	277	20	and	and	CCONJ
cana-2870	277	21	the	the	DET
cana-2870	277	22	housing	housing	NOUN
cana-2870	277	23	bubbles	bubble	NOUN
cana-2870	277	24	,	,	PUNCT
cana-2870	277	25	"	"	PUNCT
cana-2870	277	26	j.	j.	PROPN
cana-2870	277	27	int	int	PROPN
cana-2870	277	28	.	.	PUNCT
cana-2870	278	1	econ	econ	PROPN
cana-2870	278	2	.	.	PUNCT
cana-2870	278	3	,	,	PUNCT
cana-2870	278	4	vol	vol	NOUN
cana-2870	278	5	.	.	PROPN
cana-2870	279	1	92	92	NUM
cana-2870	279	2	,	,	PUNCT
cana-2870	279	3	pp	pp	ADJ
cana-2870	279	4	.	.	PUNCT
cana-2870	280	1	78–94	78–94	NUM
cana-2870	280	2	,	,	PUNCT
cana-2870	280	3	2014	2014	NUM
cana-2870	280	4	.	.	PUNCT
cana-2870	281	1	[	[	X
cana-2870	281	2	4	4	X
cana-2870	281	3	]	]	PUNCT
cana-2870	281	4	s.	s.	PROPN
cana-2870	281	5	nakamoto	nakamoto	PROPN
cana-2870	281	6	,	,	PUNCT
cana-2870	281	7	"	"	PUNCT
cana-2870	281	8	bitcoin	bitcoin	NOUN
cana-2870	281	9	:	:	PUNCT
cana-2870	281	10	a	a	DET
cana-2870	281	11	peer	peer	NOUN
cana-2870	281	12	-	-	PUNCT
cana-2870	281	13	to	to	ADP
cana-2870	281	14	-	-	PUNCT
cana-2870	281	15	peer	peer	NOUN
cana-2870	281	16	electronic	electronic	ADJ
cana-2870	281	17	cash	cash	NOUN
cana-2870	281	18	system	system	NOUN
cana-2870	281	19	,	,	PUNCT
cana-2870	281	20	"	"	PUNCT
cana-2870	281	21	decentralized	decentralized	ADJ
cana-2870	281	22	bus	bus	NOUN
cana-2870	281	23	.	.	PUNCT
cana-2870	281	24	rev	rev	PROPN
cana-2870	281	25	.	.	PROPN
cana-2870	281	26	,	,	PUNCT
cana-2870	281	27	vol	vol	NOUN
cana-2870	281	28	.	.	PROPN
cana-2870	281	29	21260	21260	NUM
cana-2870	281	30	,	,	PUNCT
cana-2870	281	31	2008	2008	NUM
cana-2870	281	32	.	.	PUNCT
cana-2870	282	1	[	[	X
cana-2870	282	2	online	online	X
cana-2870	282	3	]	]	X
cana-2870	282	4	.	.	PUNCT
cana-2870	283	1	available	available	ADJ
cana-2870	283	2	:	:	PUNCT
cana-2870	283	3	https://bitcoin.org/bitcoin.pdf	https://bitcoin.org/bitcoin.pdf	NOUN
cana-2870	284	1	[	[	X
cana-2870	284	2	accessed	access	VERB
cana-2870	284	3	:	:	PUNCT
cana-2870	284	4	oct	oct	PROPN
cana-2870	284	5	.	.	PROPN
cana-2870	284	6	19	19	NUM
cana-2870	284	7	,	,	PUNCT
cana-2870	284	8	2022	2022	NUM
cana-2870	284	9	]	]	PUNCT
cana-2870	284	10	.	.	PUNCT
cana-2870	285	1	[	[	X
cana-2870	285	2	5	5	X
cana-2870	285	3	]	]	PUNCT
cana-2870	285	4	p.	p.	NOUN
cana-2870	285	5	n.	n.	PROPN
cana-2870	285	6	sureshbhai	sureshbhai	PROPN
cana-2870	285	7	,	,	PUNCT
cana-2870	285	8	p.	p.	PROPN
cana-2870	285	9	bhattacharya	bhattacharya	PROPN
cana-2870	285	10	,	,	PUNCT
cana-2870	285	11	and	and	CCONJ
cana-2870	285	12	s.	s.	PROPN
cana-2870	285	13	tanwar	tanwar	PROPN
cana-2870	285	14	,	,	PUNCT
cana-2870	285	15	"	"	PUNCT
cana-2870	285	16	karuna	karuna	PROPN
cana-2870	285	17	:	:	PUNCT
cana-2870	285	18	a	a	DET
cana-2870	285	19	blockchain	blockchain	NOUN
cana-2870	285	20	-	-	PUNCT
cana-2870	285	21	based	base	VERB
cana-2870	285	22	sentiment	sentiment	NOUN
cana-2870	285	23	analysis	analysis	NOUN
cana-2870	285	24	framework	framework	NOUN
cana-2870	285	25	for	for	ADP
cana-2870	285	26	fraud	fraud	NOUN
cana-2870	285	27	cryptocurrency	cryptocurrency	NOUN
cana-2870	285	28	schemes	scheme	NOUN
cana-2870	285	29	,	,	PUNCT
cana-2870	285	30	"	"	PUNCT
cana-2870	285	31	in	in	ADP
cana-2870	285	32	proc	proc	NOUN
cana-2870	285	33	.	.	PUNCT
cana-2870	286	1	2020	2020	NUM
cana-2870	286	2	ieee	ieee	PROPN
cana-2870	286	3	int	int	NOUN
cana-2870	286	4	.	.	PUNCT
cana-2870	286	5	conf	conf	PROPN
cana-2870	286	6	.	.	PUNCT
cana-2870	287	1	commun	commun	PROPN
cana-2870	287	2	.	.	PUNCT
cana-2870	288	1	workshops	workshop	NOUN
cana-2870	288	2	(	(	PUNCT
cana-2870	288	3	icc	icc	NOUN
cana-2870	288	4	workshops	workshop	NOUN
cana-2870	288	5	)	)	PUNCT
cana-2870	288	6	,	,	PUNCT
cana-2870	288	7	dublin	dublin	PROPN
cana-2870	288	8	,	,	PUNCT
cana-2870	288	9	ireland	ireland	PROPN
cana-2870	288	10	,	,	PUNCT
cana-2870	288	11	jun	jun	PROPN
cana-2870	288	12	.	.	PROPN
cana-2870	288	13	2020	2020	NUM
cana-2870	288	14	,	,	PUNCT
cana-2870	288	15	pp	pp	ADV
cana-2870	288	16	.	.	PUNCT
cana-2870	289	1	1–6	1–6	X
cana-2870	289	2	.	.	PUNCT
cana-2870	290	1	[	[	X
cana-2870	290	2	6	6	NUM
cana-2870	290	3	]	]	X
cana-2870	290	4	c.	c.	NOUN
cana-2870	290	5	rose	rise	VERB
cana-2870	290	6	,	,	PUNCT
cana-2870	290	7	"	"	PUNCT
cana-2870	290	8	the	the	DET
cana-2870	290	9	evolution	evolution	NOUN
cana-2870	290	10	of	of	ADP
cana-2870	290	11	digital	digital	ADJ
cana-2870	290	12	currencies	currency	NOUN
cana-2870	290	13	:	:	PUNCT
cana-2870	290	14	bitcoin	bitcoin	ADJ
cana-2870	290	15	,	,	PUNCT
cana-2870	290	16	a	a	DET
cana-2870	290	17	cryptocurrency	cryptocurrency	NOUN
cana-2870	290	18	causing	cause	VERB
cana-2870	290	19	a	a	DET
cana-2870	290	20	monetary	monetary	ADJ
cana-2870	290	21	revolution	revolution	NOUN
cana-2870	290	22	,	,	PUNCT
cana-2870	290	23	"	"	PUNCT
cana-2870	290	24	int	int	NOUN
cana-2870	290	25	.	.	PUNCT
cana-2870	291	1	bus	bus	PROPN
cana-2870	291	2	.	.	PUNCT
cana-2870	292	1	econ	econ	PROPN
cana-2870	292	2	.	.	PUNCT
cana-2870	293	1	res	res	PROPN
cana-2870	293	2	.	.	PUNCT
cana-2870	294	1	j.	j.	PROPN
cana-2870	294	2	(	(	PUNCT
cana-2870	294	3	iber	iber	PROPN
cana-2870	294	4	)	)	PUNCT
cana-2870	294	5	,	,	PUNCT
cana-2870	294	6	vol	vol	NOUN
cana-2870	294	7	.	.	PROPN
cana-2870	294	8	14	14	NUM
cana-2870	294	9	,	,	PUNCT
cana-2870	294	10	pp	pp	ADJ
cana-2870	294	11	.	.	PUNCT
cana-2870	295	1	617–622	617–622	NUM
cana-2870	295	2	,	,	PUNCT
cana-2870	295	3	2015	2015	NUM
cana-2870	295	4	.	.	PUNCT
cana-2870	296	1	https://ssrn.com/abstract=884539	https://ssrn.com/abstract=884539	PRON
cana-2870	296	2	https://bitcoin.org/bitcoin.pdf	https://bitcoin.org/bitcoin.pdf	NOUN
cana-2870	296	3	communications	communication	NOUN
cana-2870	296	4	on	on	ADP
cana-2870	296	5	applied	apply	VERB
cana-2870	296	6	nonlinear	nonlinear	ADJ
cana-2870	296	7	analysis	analysis	NOUN
cana-2870	296	8	issn	issn	NOUN
cana-2870	296	9	:	:	PUNCT
cana-2870	296	10	1074	1074	NUM
cana-2870	296	11	-	-	PUNCT
cana-2870	296	12	133x	133x	NUM
cana-2870	296	13	vol	vol	NOUN
cana-2870	296	14	32	32	NUM
cana-2870	296	15	no	no	NOUN
cana-2870	296	16	.	.	PUNCT
cana-2870	297	1	4s	4s	NUM
cana-2870	297	2	(	(	PUNCT
cana-2870	297	3	2025	2025	NUM
cana-2870	297	4	)	)	PUNCT
cana-2870	297	5	550	550	NUM
cana-2870	297	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	298	1	[	[	X
cana-2870	298	2	7	7	X
cana-2870	298	3	]	]	X
cana-2870	298	4	l.	l.	PROPN
cana-2870	298	5	badea	badea	PROPN
cana-2870	298	6	and	and	CCONJ
cana-2870	298	7	m.	m.	PROPN
cana-2870	298	8	c.	c.	PROPN
cana-2870	298	9	mungiu	mungiu	PROPN
cana-2870	298	10	-	-	PUNCT
cana-2870	298	11	pupăzan	pupăzan	PROPN
cana-2870	298	12	,	,	PUNCT
cana-2870	298	13	"	"	PUNCT
cana-2870	298	14	the	the	DET
cana-2870	298	15	economic	economic	ADJ
cana-2870	298	16	and	and	CCONJ
cana-2870	298	17	environmental	environmental	ADJ
cana-2870	298	18	impact	impact	NOUN
cana-2870	298	19	of	of	ADP
cana-2870	298	20	bitcoin	bitcoin	NOUN
cana-2870	298	21	,	,	PUNCT
cana-2870	298	22	"	"	PUNCT
cana-2870	298	23	ieee	ieee	NOUN
cana-2870	298	24	access	access	NOUN
cana-2870	298	25	,	,	PUNCT
cana-2870	298	26	vol	vol	NOUN
cana-2870	298	27	.	.	NOUN
cana-2870	298	28	9	9	NUM
cana-2870	298	29	,	,	PUNCT
cana-2870	298	30	pp	pp	ADJ
cana-2870	298	31	.	.	PUNCT
cana-2870	299	1	48091–48104	48091–48104	NOUN
cana-2870	299	2	,	,	PUNCT
cana-2870	299	3	2021	2021	NUM
cana-2870	299	4	.	.	PUNCT
cana-2870	300	1	[	[	X
cana-2870	300	2	8	8	NUM
cana-2870	300	3	]	]	X
cana-2870	300	4	h.	h.	PROPN
cana-2870	300	5	vranken	vranken	PROPN
cana-2870	300	6	,	,	PUNCT
cana-2870	300	7	"	"	PUNCT
cana-2870	300	8	sustainability	sustainability	NOUN
cana-2870	300	9	of	of	ADP
cana-2870	300	10	bitcoin	bitcoin	NOUN
cana-2870	300	11	and	and	CCONJ
cana-2870	300	12	blockchains	blockchain	NOUN
cana-2870	300	13	,	,	PUNCT
cana-2870	300	14	"	"	PUNCT
cana-2870	300	15	curr	curr	X
cana-2870	300	16	.	.	PUNCT
cana-2870	301	1	opin	opin	NOUN
cana-2870	301	2	.	.	PUNCT
cana-2870	302	1	environ	environ	X
cana-2870	302	2	.	.	PUNCT
cana-2870	302	3	sustain	sustain	VERB
cana-2870	302	4	.	.	PUNCT
cana-2870	303	1	,	,	PUNCT
cana-2870	303	2	vol	vol	NOUN
cana-2870	303	3	.	.	PROPN
cana-2870	303	4	28	28	NUM
cana-2870	303	5	,	,	PUNCT
cana-2870	303	6	pp	pp	ADJ
cana-2870	303	7	.	.	PUNCT
cana-2870	304	1	1–9	1–9	NUM
cana-2870	304	2	,	,	PUNCT
cana-2870	304	3	2017	2017	NUM
cana-2870	304	4	.	.	PUNCT
cana-2870	305	1	[	[	X
cana-2870	305	2	9	9	NUM
cana-2870	305	3	]	]	PUNCT
cana-2870	305	4	m.	m.	NOUN
cana-2870	305	5	iwamura	iwamura	NOUN
cana-2870	305	6	,	,	PUNCT
cana-2870	305	7	y.	y.	PROPN
cana-2870	305	8	kitamura	kitamura	PROPN
cana-2870	305	9	,	,	PUNCT
cana-2870	305	10	and	and	CCONJ
cana-2870	305	11	t.	t.	PROPN
cana-2870	305	12	matsumoto	matsumoto	PROPN
cana-2870	305	13	,	,	PUNCT
cana-2870	305	14	"	"	PUNCT
cana-2870	305	15	is	be	AUX
cana-2870	305	16	bitcoin	bitcoin	VERB
cana-2870	305	17	the	the	DET
cana-2870	305	18	only	only	ADJ
cana-2870	305	19	cryptocurrency	cryptocurrency	NOUN
cana-2870	305	20	in	in	ADP
cana-2870	305	21	the	the	DET
cana-2870	305	22	town	town	NOUN
cana-2870	305	23	?	?	PUNCT
cana-2870	306	1	economics	economic	NOUN
cana-2870	306	2	of	of	ADP
cana-2870	306	3	cryptocurrency	cryptocurrency	NOUN
cana-2870	306	4	and	and	CCONJ
cana-2870	306	5	friedrich	friedrich	PROPN
cana-2870	306	6	a.	a.	PROPN
cana-2870	306	7	hayek	hayek	PROPN
cana-2870	306	8	,	,	PUNCT
cana-2870	306	9	"	"	PUNCT
cana-2870	306	10	ssrn	ssrn	PROPN
cana-2870	306	11	electron	electron	PROPN
cana-2870	306	12	.	.	PUNCT
cana-2870	307	1	j.	j.	PROPN
cana-2870	307	2	,	,	PUNCT
cana-2870	307	3	2014	2014	NUM
cana-2870	307	4	.	.	PUNCT
cana-2870	308	1	[	[	X
cana-2870	308	2	10	10	NUM
cana-2870	308	3	]	]	X
cana-2870	308	4	h.hassani	h.hassani	NOUN
cana-2870	308	5	,	,	PUNCT
cana-2870	308	6	x.	x.	PROPN
cana-2870	308	7	huang	huang	PROPN
cana-2870	308	8	,	,	PUNCT
cana-2870	308	9	and	and	CCONJ
cana-2870	308	10	e.	e.	PROPN
cana-2870	308	11	silva	silva	PROPN
cana-2870	308	12	,	,	PUNCT
cana-2870	308	13	"	"	PUNCT
cana-2870	308	14	big	big	ADJ
cana-2870	308	15	-	-	PUNCT
cana-2870	308	16	crypto	crypto	NOUN
cana-2870	308	17	:	:	PUNCT
cana-2870	308	18	big	big	ADJ
cana-2870	308	19	data	data	PROPN
cana-2870	308	20	,	,	PUNCT
cana-2870	308	21	blockchain	blockchain	NOUN
cana-2870	308	22	and	and	CCONJ
cana-2870	308	23	cryptocurrency	cryptocurrency	NOUN
cana-2870	308	24	,	,	PUNCT
cana-2870	308	25	"	"	PUNCT
cana-2870	308	26	big	big	ADJ
cana-2870	308	27	data	datum	NOUN
cana-2870	308	28	cogn	cogn	VERB
cana-2870	308	29	.	.	PUNCT
cana-2870	309	1	comput	comput	PROPN
cana-2870	309	2	.	.	PUNCT
cana-2870	309	3	,	,	PUNCT
cana-2870	309	4	vol	vol	NOUN
cana-2870	309	5	.	.	PROPN
cana-2870	309	6	2	2	NUM
cana-2870	309	7	,	,	PUNCT
cana-2870	309	8	p.	p.	NOUN
cana-2870	309	9	34	34	NUM
cana-2870	309	10	,	,	PUNCT
cana-2870	309	11	2018	2018	NUM
cana-2870	309	12	.	.	PUNCT
cana-2870	310	1	[	[	X
cana-2870	310	2	11	11	NUM
cana-2870	310	3	]	]	PUNCT
cana-2870	310	4	k.	k.	PROPN
cana-2870	310	5	hwang	hwang	PROPN
cana-2870	310	6	and	and	CCONJ
cana-2870	310	7	m.	m.	PROPN
cana-2870	310	8	chen	chen	PROPN
cana-2870	310	9	,	,	PUNCT
cana-2870	310	10	big	big	ADJ
cana-2870	310	11	-	-	PUNCT
cana-2870	310	12	data	data	NOUN
cana-2870	310	13	analytics	analytic	NOUN
cana-2870	310	14	for	for	ADP
cana-2870	310	15	cloud	cloud	NOUN
cana-2870	310	16	,	,	PUNCT
cana-2870	310	17	iot	iot	NOUN
cana-2870	310	18	and	and	CCONJ
cana-2870	310	19	cognitive	cognitive	ADJ
cana-2870	310	20	computing	computing	NOUN
cana-2870	310	21	,	,	PUNCT
cana-2870	310	22	hoboken	hoboken	PROPN
cana-2870	310	23	,	,	PUNCT
cana-2870	310	24	nj	nj	PROPN
cana-2870	310	25	,	,	PUNCT
cana-2870	310	26	usa	usa	PROPN
cana-2870	310	27	:	:	PUNCT
cana-2870	310	28	john	john	PROPN
cana-2870	310	29	wiley	wiley	PROPN
cana-2870	310	30	&	&	CCONJ
cana-2870	310	31	sons	son	NOUN
cana-2870	310	32	,	,	PUNCT
cana-2870	310	33	2017	2017	NUM
cana-2870	310	34	.	.	PUNCT
cana-2870	311	1	[	[	X
cana-2870	311	2	12	12	NUM
cana-2870	311	3	]	]	X
cana-2870	311	4	n.	n.	PROPN
cana-2870	311	5	a.	a.	PROPN
cana-2870	311	6	hitam	hitam	PROPN
cana-2870	311	7	,	,	PUNCT
cana-2870	311	8	a.	a.	PROPN
cana-2870	311	9	r.	r.	PROPN
cana-2870	311	10	ismail	ismail	PROPN
cana-2870	311	11	,	,	PUNCT
cana-2870	311	12	r.	r.	PROPN
cana-2870	311	13	samsudin	samsudin	PROPN
cana-2870	311	14	,	,	PUNCT
cana-2870	311	15	and	and	CCONJ
cana-2870	311	16	e.	e.	PROPN
cana-2870	311	17	h.	h.	PROPN
cana-2870	311	18	alkhammash	alkhammash	PROPN
cana-2870	311	19	,	,	PUNCT
cana-2870	311	20	"	"	PUNCT
cana-2870	311	21	the	the	DET
cana-2870	311	22	effect	effect	NOUN
cana-2870	311	23	of	of	ADP
cana-2870	311	24	kernel	kernel	NOUN
cana-2870	311	25	functions	function	NOUN
cana-2870	311	26	on	on	ADP
cana-2870	311	27	cryptocurrency	cryptocurrency	NOUN
cana-2870	311	28	prediction	prediction	NOUN
cana-2870	311	29	using	use	VERB
cana-2870	311	30	support	support	NOUN
cana-2870	311	31	vector	vector	NOUN
cana-2870	311	32	machines	machine	NOUN
cana-2870	311	33	,	,	PUNCT
cana-2870	311	34	"	"	PUNCT
cana-2870	311	35	in	in	ADP
cana-2870	311	36	proc	proc	NOUN
cana-2870	311	37	.	.	PUNCT
cana-2870	312	1	int	int	NOUN
cana-2870	312	2	.	.	PUNCT
cana-2870	312	3	conf	conf	PROPN
cana-2870	312	4	.	.	PUNCT
cana-2870	313	1	reliable	reliable	PROPN
cana-2870	313	2	inf	inf	PROPN
cana-2870	313	3	.	.	PUNCT
cana-2870	314	1	commun	commun	PROPN
cana-2870	314	2	.	.	PUNCT
cana-2870	315	1	technol	technol	PROPN
cana-2870	315	2	.	.	PROPN
cana-2870	315	3	,	,	PUNCT
cana-2870	315	4	cham	cham	PROPN
cana-2870	315	5	,	,	PUNCT
cana-2870	315	6	switzerland	switzerland	PROPN
cana-2870	315	7	,	,	PUNCT
cana-2870	315	8	2022	2022	NUM
cana-2870	315	9	,	,	PUNCT
cana-2870	315	10	pp	pp	ADV
cana-2870	315	11	.	.	PUNCT
cana-2870	316	1	319–332	319–332	NUM
cana-2870	316	2	.	.	PUNCT
cana-2870	317	1	[	[	X
cana-2870	317	2	13	13	NUM
cana-2870	317	3	]	]	X
cana-2870	317	4	y.	y.	PROPN
cana-2870	317	5	andrianto	andrianto	PROPN
cana-2870	317	6	and	and	CCONJ
cana-2870	317	7	y.	y.	PROPN
cana-2870	317	8	diputra	diputra	PROPN
cana-2870	317	9	,	,	PUNCT
cana-2870	317	10	"	"	PUNCT
cana-2870	317	11	the	the	DET
cana-2870	317	12	effect	effect	NOUN
cana-2870	317	13	of	of	ADP
cana-2870	317	14	cryptocurrency	cryptocurrency	NOUN
cana-2870	317	15	on	on	ADP
cana-2870	317	16	investment	investment	NOUN
cana-2870	317	17	portfolio	portfolio	NOUN
cana-2870	317	18	effectiveness	effectiveness	NOUN
cana-2870	317	19	,	,	PUNCT
cana-2870	317	20	"	"	PUNCT
cana-2870	317	21	j.	j.	PROPN
cana-2870	317	22	financ	financ	PROPN
cana-2870	317	23	.	.	PUNCT
cana-2870	318	1	account	account	PROPN
cana-2870	318	2	.	.	PUNCT
cana-2870	319	1	,	,	PUNCT
cana-2870	319	2	vol	vol	NOUN
cana-2870	319	3	.	.	PROPN
cana-2870	319	4	5	5	NUM
cana-2870	319	5	,	,	PUNCT
cana-2870	319	6	pp	pp	ADJ
cana-2870	319	7	.	.	PUNCT
cana-2870	320	1	229–238	229–238	NUM
cana-2870	320	2	,	,	PUNCT
cana-2870	320	3	2017	2017	NUM
cana-2870	320	4	.	.	PUNCT
cana-2870	321	1	[	[	X
cana-2870	321	2	14	14	NUM
cana-2870	321	3	]	]	PUNCT
cana-2870	321	4	m.	m.	NOUN
cana-2870	321	5	saad	saad	PROPN
cana-2870	321	6	,	,	PUNCT
cana-2870	321	7	j.	j.	PROPN
cana-2870	321	8	choi	choi	PROPN
cana-2870	321	9	,	,	PUNCT
cana-2870	321	10	d.	d.	PROPN
cana-2870	321	11	nyang	nyang	PROPN
cana-2870	321	12	,	,	PUNCT
cana-2870	321	13	j.	j.	PROPN
cana-2870	321	14	kim	kim	PROPN
cana-2870	321	15	,	,	PUNCT
cana-2870	321	16	and	and	CCONJ
cana-2870	321	17	a.	a.	NOUN
cana-2870	321	18	mohaisen	mohaisen	PROPN
cana-2870	321	19	,	,	PUNCT
cana-2870	321	20	"	"	PUNCT
cana-2870	321	21	toward	toward	ADP
cana-2870	321	22	characterizing	characterize	VERB
cana-2870	321	23	blockchain	blockchain	NOUN
cana-2870	321	24	-	-	PUNCT
cana-2870	321	25	based	base	VERB
cana-2870	321	26	cryptocurrencies	cryptocurrencie	NOUN
cana-2870	321	27	for	for	ADP
cana-2870	321	28	highly	highly	ADV
cana-2870	321	29	accurate	accurate	ADJ
cana-2870	321	30	predictions	prediction	NOUN
cana-2870	321	31	,	,	PUNCT
cana-2870	321	32	"	"	PUNCT
cana-2870	321	33	ieee	ieee	NOUN
cana-2870	321	34	syst	syst	PROPN
cana-2870	321	35	.	.	PUNCT
cana-2870	322	1	j.	j.	PROPN
cana-2870	322	2	,	,	PUNCT
cana-2870	322	3	vol	vol	NOUN
cana-2870	322	4	.	.	PROPN
cana-2870	322	5	14	14	NUM
cana-2870	322	6	,	,	PUNCT
cana-2870	322	7	pp	pp	ADJ
cana-2870	322	8	.	.	PUNCT
cana-2870	323	1	321–332	321–332	NUM
cana-2870	323	2	,	,	PUNCT
cana-2870	323	3	2019	2019	NUM
cana-2870	323	4	.	.	PUNCT
cana-2870	324	1	[	[	X
cana-2870	324	2	15	15	NUM
cana-2870	324	3	]	]	X
cana-2870	324	4	r.	r.	PROPN
cana-2870	324	5	chowdhury	chowdhury	PROPN
cana-2870	324	6	,	,	PUNCT
cana-2870	324	7	m.	m.	NOUN
cana-2870	324	8	a.	a.	PROPN
cana-2870	324	9	rahman	rahman	PROPN
cana-2870	324	10	,	,	PUNCT
cana-2870	324	11	m.	m.	NOUN
cana-2870	324	12	s.	s.	PROPN
cana-2870	324	13	rahman	rahman	PROPN
cana-2870	324	14	,	,	PUNCT
cana-2870	324	15	and	and	CCONJ
cana-2870	324	16	m.	m.	NOUN
cana-2870	324	17	mahdy	mahdy	NOUN
cana-2870	324	18	,	,	PUNCT
cana-2870	324	19	"	"	PUNCT
cana-2870	324	20	an	an	DET
cana-2870	324	21	approach	approach	NOUN
cana-2870	324	22	to	to	PART
cana-2870	324	23	predict	predict	VERB
cana-2870	324	24	and	and	CCONJ
cana-2870	324	25	forecast	forecast	VERB
cana-2870	324	26	the	the	DET
cana-2870	324	27	price	price	NOUN
cana-2870	324	28	of	of	ADP
cana-2870	324	29	constituents	constituent	NOUN
cana-2870	324	30	and	and	CCONJ
cana-2870	324	31	index	index	NOUN
cana-2870	324	32	of	of	ADP
cana-2870	324	33	cryptocurrency	cryptocurrency	NOUN
cana-2870	324	34	using	use	VERB
cana-2870	324	35	machine	machine	NOUN
cana-2870	324	36	learning	learning	NOUN
cana-2870	324	37	,	,	PUNCT
cana-2870	324	38	"	"	PUNCT
cana-2870	324	39	phys	phy	NOUN
cana-2870	324	40	.	.	PUNCT
cana-2870	325	1	a	a	DET
cana-2870	325	2	stat	stat	NOUN
cana-2870	325	3	.	.	PUNCT
cana-2870	326	1	mech	mech	PROPN
cana-2870	326	2	.	.	PUNCT
cana-2870	327	1	its	its	PRON
cana-2870	327	2	appl	appl	NOUN
cana-2870	327	3	.	.	PROPN
cana-2870	327	4	,	,	PUNCT
cana-2870	327	5	vol	vol	NOUN
cana-2870	327	6	.	.	PROPN
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cana-2870	327	8	,	,	PUNCT
cana-2870	327	9	p.	p.	NOUN
cana-2870	327	10	124569	124569	NUM
cana-2870	327	11	,	,	PUNCT
cana-2870	327	12	2020	2020	NUM
cana-2870	327	13	.	.	PUNCT
cana-2870	328	1	[	[	X
cana-2870	328	2	16	16	X
cana-2870	328	3	]	]	X
cana-2870	328	4	v.	v.	CCONJ
cana-2870	328	5	derbentsev	derbentsev	ADJ
cana-2870	328	6	,	,	PUNCT
cana-2870	328	7	v.	v.	ADP
cana-2870	328	8	babenko	babenko	PROPN
cana-2870	328	9	,	,	PUNCT
cana-2870	328	10	k.	k.	PROPN
cana-2870	328	11	khrustalev	khrustalev	PROPN
cana-2870	328	12	,	,	PUNCT
cana-2870	328	13	h.	h.	PROPN
cana-2870	328	14	obruch	obruch	PROPN
cana-2870	328	15	,	,	PUNCT
cana-2870	328	16	and	and	CCONJ
cana-2870	328	17	s.	s.	PROPN
cana-2870	328	18	khrustalova	khrustalova	PROPN
cana-2870	328	19	,	,	PUNCT
cana-2870	328	20	"	"	PUNCT
cana-2870	328	21	comparative	comparative	ADJ
cana-2870	328	22	performance	performance	NOUN
cana-2870	328	23	of	of	ADP
cana-2870	328	24	machine	machine	NOUN
cana-2870	328	25	learning	learn	VERB
cana-2870	328	26	ensemble	ensemble	ADJ
cana-2870	328	27	algorithms	algorithm	NOUN
cana-2870	328	28	for	for	ADP
cana-2870	328	29	forecasting	forecast	VERB
cana-2870	328	30	cryptocurrency	cryptocurrency	NOUN
cana-2870	328	31	prices	price	NOUN
cana-2870	328	32	,	,	PUNCT
cana-2870	328	33	"	"	PUNCT
cana-2870	328	34	int	int	NOUN
cana-2870	328	35	.	.	PUNCT
cana-2870	329	1	j.	j.	PROPN
cana-2870	329	2	eng	eng	PROPN
cana-2870	329	3	.	.	PROPN
cana-2870	329	4	,	,	PUNCT
cana-2870	329	5	vol	vol	NOUN
cana-2870	329	6	.	.	PROPN
cana-2870	330	1	34	34	NUM
cana-2870	330	2	,	,	PUNCT
cana-2870	330	3	pp	pp	ADJ
cana-2870	330	4	.	.	PUNCT
cana-2870	331	1	140–148	140–148	NUM
cana-2870	331	2	,	,	PUNCT
cana-2870	331	3	2021	2021	NUM
cana-2870	331	4	.	.	PUNCT
cana-2870	332	1	[	[	X
cana-2870	332	2	17	17	NUM
cana-2870	332	3	]	]	X
cana-2870	332	4	w.	w.	PROPN
cana-2870	332	5	chen	chen	PROPN
cana-2870	332	6	,	,	PUNCT
cana-2870	332	7	h.	h.	PROPN
cana-2870	332	8	xu	xu	PROPN
cana-2870	332	9	,	,	PUNCT
cana-2870	332	10	l.	l.	PROPN
cana-2870	332	11	jia	jia	PROPN
cana-2870	332	12	,	,	PUNCT
cana-2870	332	13	and	and	CCONJ
cana-2870	332	14	y.	y.	PROPN
cana-2870	332	15	gao	gao	PROPN
cana-2870	332	16	,	,	PUNCT
cana-2870	332	17	"	"	PUNCT
cana-2870	332	18	machine	machine	NOUN
cana-2870	332	19	learning	learning	NOUN
cana-2870	332	20	model	model	NOUN
cana-2870	332	21	for	for	ADP
cana-2870	332	22	bitcoin	bitcoin	ADJ
cana-2870	332	23	exchange	exchange	NOUN
cana-2870	332	24	rate	rate	NOUN
cana-2870	332	25	prediction	prediction	NOUN
cana-2870	332	26	using	use	VERB
cana-2870	332	27	economic	economic	ADJ
cana-2870	332	28	and	and	CCONJ
cana-2870	332	29	technology	technology	NOUN
cana-2870	332	30	determinants	determinant	NOUN
cana-2870	332	31	,	,	PUNCT
cana-2870	332	32	"	"	PUNCT
cana-2870	332	33	int	int	NOUN
cana-2870	332	34	.	.	PUNCT
cana-2870	333	1	j.	j.	PROPN
cana-2870	333	2	forecast	forecast	PROPN
cana-2870	333	3	.	.	PUNCT
cana-2870	334	1	,	,	PUNCT
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cana-2870	334	3	.	.	PROPN
cana-2870	335	1	37	37	NUM
cana-2870	335	2	,	,	PUNCT
cana-2870	335	3	pp	pp	ADJ
cana-2870	335	4	.	.	PUNCT
cana-2870	336	1	28–43	28–43	NUM
cana-2870	336	2	,	,	PUNCT
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cana-2870	336	4	.	.	PUNCT
cana-2870	337	1	[	[	X
cana-2870	337	2	18	18	NUM
cana-2870	337	3	]	]	PUNCT
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cana-2870	337	5	m.	m.	PROPN
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cana-2870	337	8	s.	s.	PROPN
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cana-2870	337	10	,	,	PUNCT
cana-2870	337	11	r.	r.	PROPN
cana-2870	337	12	gupta	gupta	PROPN
cana-2870	337	13	,	,	PUNCT
cana-2870	337	14	and	and	CCONJ
cana-2870	337	15	n.	n.	PROPN
cana-2870	337	16	kumar	kumar	PROPN
cana-2870	337	17	,	,	PUNCT
cana-2870	337	18	"	"	PUNCT
cana-2870	337	19	a	a	DET
cana-2870	337	20	deep	deep	ADJ
cana-2870	337	21	learning	learning	NOUN
cana-2870	337	22	-	-	PUNCT
cana-2870	337	23	based	base	VERB
cana-2870	337	24	cryptocurrency	cryptocurrency	NOUN
cana-2870	337	25	price	price	NOUN
cana-2870	337	26	prediction	prediction	NOUN
cana-2870	337	27	scheme	scheme	NOUN
cana-2870	337	28	for	for	ADP
cana-2870	337	29	financial	financial	ADJ
cana-2870	337	30	institutions	institution	NOUN
cana-2870	337	31	,	,	PUNCT
cana-2870	337	32	"	"	PUNCT
cana-2870	337	33	j.	j.	PROPN
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cana-2870	337	35	.	.	PROPN
cana-2870	337	36	secur	secur	PROPN
cana-2870	337	37	.	.	PUNCT
cana-2870	338	1	appl	appl	PROPN
cana-2870	338	2	.	.	PROPN
cana-2870	338	3	,	,	PUNCT
cana-2870	338	4	vol	vol	NOUN
cana-2870	338	5	.	.	PUNCT
cana-2870	338	6	55	55	NUM
cana-2870	338	7	,	,	PUNCT
cana-2870	339	1	p.	p.	NOUN
cana-2870	339	2	102583	102583	NUM
cana-2870	339	3	,	,	PUNCT
cana-2870	339	4	2020	2020	NUM
cana-2870	339	5	.	.	PUNCT
cana-2870	340	1	[	[	X
cana-2870	340	2	19	19	NUM
cana-2870	340	3	]	]	X
cana-2870	340	4	c.	c.	PROPN
cana-2870	340	5	h.	h.	PROPN
cana-2870	340	6	wu	wu	PROPN
cana-2870	340	7	,	,	PUNCT
cana-2870	340	8	c.	c.	PROPN
cana-2870	340	9	c.	c.	PROPN
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cana-2870	340	11	,	,	PUNCT
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cana-2870	340	13	f.	f.	PROPN
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cana-2870	340	17	r.	r.	PROPN
cana-2870	340	18	s.	s.	PROPN
cana-2870	340	19	lu	lu	PROPN
cana-2870	340	20	,	,	PUNCT
cana-2870	340	21	"	"	PUNCT
cana-2870	340	22	a	a	DET
cana-2870	340	23	new	new	ADJ
cana-2870	340	24	forecasting	forecasting	NOUN
cana-2870	340	25	framework	framework	NOUN
cana-2870	340	26	for	for	ADP
cana-2870	340	27	bitcoin	bitcoin	ADJ
cana-2870	340	28	price	price	NOUN
cana-2870	340	29	with	with	ADP
cana-2870	340	30	lstm	lstm	NOUN
cana-2870	340	31	,	,	PUNCT
cana-2870	340	32	"	"	PUNCT
cana-2870	340	33	in	in	ADP
cana-2870	340	34	proc	proc	NOUN
cana-2870	340	35	.	.	PUNCT
cana-2870	341	1	2018	2018	NUM
cana-2870	341	2	ieee	ieee	PROPN
cana-2870	341	3	int	int	NOUN
cana-2870	341	4	.	.	PUNCT
cana-2870	342	1	conf	conf	PROPN
cana-2870	342	2	.	.	PUNCT
cana-2870	343	1	data	datum	NOUN
cana-2870	343	2	mining	mining	NOUN
cana-2870	343	3	workshops	workshop	NOUN
cana-2870	343	4	(	(	PUNCT
cana-2870	343	5	icdmw	icdmw	PROPN
cana-2870	343	6	)	)	PUNCT
cana-2870	343	7	,	,	PUNCT
cana-2870	343	8	singapore	singapore	PROPN
cana-2870	343	9	,	,	PUNCT
cana-2870	343	10	nov	nov	PROPN
cana-2870	343	11	.	.	PROPN
cana-2870	343	12	2018	2018	NUM
cana-2870	343	13	,	,	PUNCT
cana-2870	343	14	pp	pp	ADJ
cana-2870	343	15	.	.	PUNCT
cana-2870	344	1	168–175	168–175	NUM
cana-2870	344	2	.	.	PUNCT
cana-2870	345	1	[	[	X
cana-2870	345	2	20	20	NUM
cana-2870	345	3	]	]	X
cana-2870	345	4	i.	i.	PROPN
cana-2870	345	5	e.	e.	PROPN
cana-2870	345	6	livieris	livieris	PROPN
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cana-2870	345	8	e.	e.	PROPN
cana-2870	345	9	pintelas	pintelas	PROPN
cana-2870	345	10	,	,	PUNCT
cana-2870	345	11	s.	s.	PROPN
cana-2870	345	12	stavroyiannis	stavroyiannis	PROPN
cana-2870	345	13	,	,	PUNCT
cana-2870	345	14	and	and	CCONJ
cana-2870	345	15	p.	p.	NOUN
cana-2870	345	16	pintelas	pintela	NOUN
cana-2870	345	17	,	,	PUNCT
cana-2870	345	18	"	"	PUNCT
cana-2870	345	19	ensemble	ensemble	ADJ
cana-2870	345	20	deep	deep	ADJ
cana-2870	345	21	learning	learning	NOUN
cana-2870	345	22	models	model	NOUN
cana-2870	345	23	for	for	ADP
cana-2870	345	24	forecasting	forecast	VERB
cana-2870	345	25	cryptocurrency	cryptocurrency	NOUN
cana-2870	345	26	time	time	NOUN
cana-2870	345	27	-	-	PUNCT
cana-2870	345	28	series	series	NOUN
cana-2870	345	29	,	,	PUNCT
cana-2870	345	30	"	"	PUNCT
cana-2870	345	31	algorithms	algorithm	NOUN
cana-2870	345	32	,	,	PUNCT
cana-2870	345	33	vol	vol	NOUN
cana-2870	345	34	.	.	PROPN
cana-2870	345	35	13	13	NUM
cana-2870	345	36	,	,	PUNCT
cana-2870	345	37	p.	p.	NOUN
cana-2870	345	38	121	121	NUM
cana-2870	345	39	,	,	PUNCT
cana-2870	345	40	2020	2020	NUM
cana-2870	345	41	.	.	PUNCT
cana-2870	346	1	[	[	X
cana-2870	346	2	21	21	NUM
cana-2870	346	3	]	]	X
cana-2870	346	4	v.	v.	CCONJ
cana-2870	346	5	derbentsev	derbentsev	ADJ
cana-2870	346	6	,	,	PUNCT
cana-2870	346	7	n.	n.	PROPN
cana-2870	346	8	datsenko	datsenko	PROPN
cana-2870	346	9	,	,	PUNCT
cana-2870	346	10	v.	v.	ADP
cana-2870	346	11	babenko	babenko	NOUN
cana-2870	346	12	,	,	PUNCT
cana-2870	346	13	o.	o.	NOUN
cana-2870	346	14	pushko	pushko	NOUN
cana-2870	346	15	,	,	PUNCT
cana-2870	346	16	and	and	CCONJ
cana-2870	346	17	o.	o.	PROPN
cana-2870	346	18	pursky	pursky	PROPN
cana-2870	346	19	,	,	PUNCT
cana-2870	346	20	"	"	PUNCT
cana-2870	346	21	forecasting	forecast	VERB
cana-2870	346	22	cryptocurrency	cryptocurrency	NOUN
cana-2870	346	23	prices	price	NOUN
cana-2870	346	24	using	use	VERB
cana-2870	346	25	ensembles	ensemble	NOUN
cana-2870	346	26	-	-	PUNCT
cana-2870	346	27	based	base	VERB
cana-2870	346	28	machine	machine	NOUN
cana-2870	346	29	learning	learning	NOUN
cana-2870	346	30	approach	approach	NOUN
cana-2870	346	31	,	,	PUNCT
cana-2870	346	32	"	"	PUNCT
cana-2870	346	33	in	in	ADP
cana-2870	346	34	proc	proc	NOUN
cana-2870	346	35	.	.	PUNCT
cana-2870	347	1	2020	2020	NUM
cana-2870	347	2	ieee	ieee	PROPN
cana-2870	347	3	int	int	NOUN
cana-2870	347	4	.	.	PUNCT
cana-2870	348	1	conf	conf	PROPN
cana-2870	348	2	.	.	PUNCT
cana-2870	349	1	problems	problem	NOUN
cana-2870	349	2	infocommun	infocommun	VERB
cana-2870	349	3	.	.	PUNCT
cana-2870	350	1	sci	sci	PROPN
cana-2870	350	2	.	.	PROPN
cana-2870	350	3	technol	technol	PROPN
cana-2870	350	4	.	.	PUNCT
cana-2870	351	1	(	(	PUNCT
cana-2870	351	2	pic	pic	NOUN
cana-2870	351	3	s&t	s&t	PROPN
cana-2870	351	4	)	)	PUNCT
cana-2870	351	5	,	,	PUNCT
cana-2870	351	6	kharkiv	kharkiv	PROPN
cana-2870	351	7	,	,	PUNCT
cana-2870	351	8	ukraine	ukraine	PROPN
cana-2870	351	9	,	,	PUNCT
cana-2870	351	10	oct	oct	PROPN
cana-2870	351	11	.	.	PROPN
cana-2870	351	12	2020	2020	NUM
cana-2870	351	13	,	,	PUNCT
cana-2870	351	14	pp	pp	ADP
cana-2870	351	15	.	.	PUNCT
cana-2870	352	1	707–712	707–712	NUM
cana-2870	352	2	.	.	PUNCT
cana-2870	353	1	[	[	X
cana-2870	353	2	22	22	NUM
cana-2870	353	3	]	]	PUNCT
cana-2870	353	4	z.	z.	PROPN
cana-2870	353	5	zhang	zhang	PROPN
cana-2870	353	6	et	et	PROPN
cana-2870	353	7	al	al	PROPN
cana-2870	353	8	.	.	PROPN
cana-2870	353	9	,	,	PUNCT
cana-2870	353	10	"	"	PUNCT
cana-2870	353	11	forecasting	forecast	VERB
cana-2870	353	12	cryptocurrency	cryptocurrency	NOUN
cana-2870	353	13	price	price	NOUN
cana-2870	353	14	using	use	VERB
cana-2870	353	15	convolutional	convolutional	ADJ
cana-2870	353	16	neural	neural	ADJ
cana-2870	353	17	networks	network	NOUN
cana-2870	353	18	with	with	ADP
cana-2870	353	19	weighted	weighted	ADJ
cana-2870	353	20	and	and	CCONJ
cana-2870	353	21	attentive	attentive	ADJ
cana-2870	353	22	memory	memory	NOUN
cana-2870	353	23	channels	channel	NOUN
cana-2870	353	24	,	,	PUNCT
cana-2870	353	25	"	"	PUNCT
cana-2870	353	26	expert	expert	NOUN
cana-2870	353	27	syst	syst	NOUN
cana-2870	353	28	.	.	PUNCT
cana-2870	354	1	appl	appl	PROPN
cana-2870	354	2	.	.	PROPN
cana-2870	354	3	,	,	PUNCT
cana-2870	354	4	vol	vol	NOUN
cana-2870	354	5	.	.	PROPN
cana-2870	354	6	183	183	NUM
cana-2870	354	7	,	,	PUNCT
cana-2870	354	8	p.	p.	NOUN
cana-2870	354	9	115378	115378	NUM
cana-2870	354	10	,	,	PUNCT
cana-2870	354	11	2021	2021	NUM
cana-2870	354	12	.	.	PUNCT
cana-2870	355	1	[	[	X
cana-2870	355	2	23	23	NUM
cana-2870	355	3	]	]	PUNCT
cana-2870	355	4	m.	m.	NOUN
cana-2870	355	5	m.	m.	PROPN
cana-2870	355	6	ahsan	ahsan	PROPN
cana-2870	355	7	et	et	PROPN
cana-2870	355	8	al	al	PROPN
cana-2870	355	9	.	.	PROPN
cana-2870	355	10	,	,	PUNCT
cana-2870	355	11	"	"	PUNCT
cana-2870	355	12	effect	effect	NOUN
cana-2870	355	13	of	of	ADP
cana-2870	355	14	data	datum	NOUN
cana-2870	355	15	scaling	scale	VERB
cana-2870	355	16	methods	method	NOUN
cana-2870	355	17	on	on	ADP
cana-2870	355	18	machine	machine	NOUN
cana-2870	355	19	learning	learn	VERB
cana-2870	355	20	algorithms	algorithm	NOUN
cana-2870	355	21	and	and	CCONJ
cana-2870	355	22	model	model	NOUN
cana-2870	355	23	performance	performance	NOUN
cana-2870	355	24	,	,	PUNCT
cana-2870	355	25	"	"	PUNCT
cana-2870	355	26	technologies	technology	NOUN
cana-2870	355	27	,	,	PUNCT
cana-2870	355	28	vol	vol	NOUN
cana-2870	355	29	.	.	PROPN
cana-2870	355	30	9	9	NUM
cana-2870	355	31	,	,	PUNCT
cana-2870	355	32	p.	p.	NOUN
cana-2870	355	33	52	52	NUM
cana-2870	355	34	,	,	PUNCT
cana-2870	355	35	2021	2021	NUM
cana-2870	355	36	.	.	PUNCT
cana-2870	356	1	[	[	X
cana-2870	356	2	24	24	NUM
cana-2870	356	3	]	]	X
cana-2870	356	4	s.	s.	PROPN
cana-2870	356	5	hochreiter	hochreiter	PROPN
cana-2870	356	6	and	and	CCONJ
cana-2870	356	7	j.	j.	PROPN
cana-2870	356	8	schmidhuber	schmidhuber	PROPN
cana-2870	356	9	,	,	PUNCT
cana-2870	356	10	"	"	PUNCT
cana-2870	356	11	long	long	ADJ
cana-2870	356	12	short	short	ADJ
cana-2870	356	13	-	-	PUNCT
cana-2870	356	14	term	term	NOUN
cana-2870	356	15	memory	memory	NOUN
cana-2870	356	16	,	,	PUNCT
cana-2870	356	17	"	"	PUNCT
cana-2870	356	18	neural	neural	ADJ
cana-2870	356	19	comput	comput	NOUN
cana-2870	356	20	.	.	PUNCT
cana-2870	356	21	,	,	PUNCT
cana-2870	356	22	vol	vol	NOUN
cana-2870	356	23	.	.	PROPN
cana-2870	356	24	9	9	NUM
cana-2870	356	25	,	,	PUNCT
cana-2870	356	26	pp	pp	ADJ
cana-2870	356	27	.	.	PUNCT
cana-2870	356	28	1735–1780	1735–1780	NUM
cana-2870	356	29	,	,	PUNCT
cana-2870	356	30	1997	1997	NUM
cana-2870	356	31	.	.	PUNCT
cana-2870	357	1	[	[	X
cana-2870	357	2	25	25	NUM
cana-2870	357	3	]	]	X
cana-2870	357	4	n.	n.	NOUN
cana-2870	357	5	ayoobi	ayoobi	PROPN
cana-2870	357	6	et	et	PROPN
cana-2870	357	7	al	al	PROPN
cana-2870	357	8	.	.	PROPN
cana-2870	357	9	,	,	PUNCT
cana-2870	357	10	"	"	PUNCT
cana-2870	357	11	time	time	NOUN
cana-2870	357	12	series	series	PROPN
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cana-2870	357	14	of	of	ADP
cana-2870	357	15	new	new	ADJ
cana-2870	357	16	cases	case	NOUN
cana-2870	357	17	and	and	CCONJ
cana-2870	357	18	new	new	ADJ
cana-2870	357	19	death	death	NOUN
cana-2870	357	20	rates	rate	NOUN
cana-2870	357	21	for	for	ADP
cana-2870	357	22	covid-19	covid-19	PROPN
cana-2870	357	23	using	use	VERB
cana-2870	357	24	deep	deep	ADJ
cana-2870	357	25	learning	learning	NOUN
cana-2870	357	26	methods	method	NOUN
cana-2870	357	27	,	,	PUNCT
cana-2870	357	28	"	"	PUNCT
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cana-2870	357	31	.	.	PUNCT
cana-2870	357	32	,	,	PUNCT
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cana-2870	357	34	.	.	PROPN
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cana-2870	357	36	,	,	PUNCT
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cana-2870	357	38	104495	104495	NUM
cana-2870	357	39	,	,	PUNCT
cana-2870	357	40	2021	2021	NUM
cana-2870	357	41	.	.	PUNCT
cana-2870	358	1	[	[	X
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cana-2870	358	3	]	]	X
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cana-2870	358	7	c.	c.	PROPN
cana-2870	358	8	gulcehre	gulcehre	PROPN
cana-2870	358	9	,	,	PUNCT
cana-2870	358	10	k.	k.	PROPN
cana-2870	358	11	cho	cho	PROPN
cana-2870	358	12	,	,	PUNCT
cana-2870	358	13	and	and	CCONJ
cana-2870	358	14	y.	y.	PROPN
cana-2870	358	15	bengio	bengio	PROPN
cana-2870	358	16	,	,	PUNCT
cana-2870	358	17	"	"	PUNCT
cana-2870	358	18	empirical	empirical	ADJ
cana-2870	358	19	evaluation	evaluation	NOUN
cana-2870	358	20	of	of	ADP
cana-2870	358	21	gated	gate	VERB
cana-2870	358	22	recurrent	recurrent	ADJ
cana-2870	358	23	neural	neural	ADJ
cana-2870	358	24	networks	network	NOUN
cana-2870	358	25	on	on	ADP
cana-2870	358	26	sequence	sequence	NOUN
cana-2870	358	27	modeling	modeling	NOUN
cana-2870	358	28	,	,	PUNCT
cana-2870	358	29	"	"	PUNCT
cana-2870	358	30	arxiv	arxiv	NOUN
cana-2870	358	31	,	,	PUNCT
cana-2870	358	32	2014	2014	NUM
cana-2870	358	33	,	,	PUNCT
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cana-2870	358	35	.	.	PUNCT
cana-2870	359	1	[	[	X
cana-2870	359	2	27	27	NUM
cana-2870	359	3	]	]	PUNCT
cana-2870	359	4	s.	s.	PROPN
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cana-2870	359	6	,	,	PUNCT
cana-2870	359	7	x.	x.	PROPN
cana-2870	359	8	yu	yu	PROPN
cana-2870	359	9	,	,	PUNCT
cana-2870	359	10	and	and	CCONJ
cana-2870	359	11	y.	y.	PROPN
cana-2870	359	12	zhou	zhou	PROPN
cana-2870	359	13	,	,	PUNCT
cana-2870	359	14	"	"	PUNCT
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cana-2870	359	16	and	and	CCONJ
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cana-2870	359	18	neural	neural	ADJ
cana-2870	359	19	network	network	NOUN
cana-2870	359	20	performance	performance	NOUN
cana-2870	359	21	comparison	comparison	NOUN
cana-2870	359	22	study	study	NOUN
cana-2870	359	23	:	:	PUNCT
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cana-2870	359	25	yelp	yelp	NOUN
cana-2870	359	26	review	review	NOUN
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cana-2870	359	31	,	,	PUNCT
cana-2870	359	32	"	"	PUNCT
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cana-2870	359	34	proc	proc	NOUN
cana-2870	359	35	.	.	PUNCT
cana-2870	360	1	2020	2020	NUM
cana-2870	360	2	int	int	NOUN
cana-2870	360	3	.	.	PUNCT
cana-2870	361	1	workshop	workshop	NOUN
cana-2870	361	2	electron	electron	NOUN
cana-2870	361	3	.	.	PUNCT
cana-2870	362	1	commun	commun	PROPN
cana-2870	362	2	.	.	PUNCT
cana-2870	363	1	artif	artif	PROPN
cana-2870	363	2	.	.	PUNCT
cana-2870	364	1	intell	intell	PROPN
cana-2870	364	2	.	.	PUNCT
cana-2870	365	1	(	(	PUNCT
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cana-2870	365	3	)	)	PUNCT
cana-2870	365	4	,	,	PUNCT
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cana-2870	365	8	,	,	PUNCT
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cana-2870	365	10	.	.	PROPN
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cana-2870	365	12	,	,	PUNCT
cana-2870	365	13	pp	pp	ADV
cana-2870	365	14	.	.	PUNCT
cana-2870	366	1	98–101	98–101	NUM
cana-2870	366	2	.	.	PUNCT
cana-2870	367	1	[	[	X
cana-2870	367	2	28	28	NUM
cana-2870	367	3	]	]	PUNCT
cana-2870	367	4	x.	x.	NOUN
cana-2870	367	5	wang	wang	PROPN
cana-2870	367	6	,	,	PUNCT
cana-2870	367	7	w.	w.	PROPN
cana-2870	367	8	jiang	jiang	PROPN
cana-2870	367	9	,	,	PUNCT
cana-2870	367	10	and	and	CCONJ
cana-2870	367	11	z.	z.	PROPN
cana-2870	367	12	luo	luo	PROPN
cana-2870	367	13	,	,	PUNCT
cana-2870	367	14	"	"	PUNCT
cana-2870	367	15	combination	combination	NOUN
cana-2870	367	16	of	of	ADP
cana-2870	367	17	convolutional	convolutional	ADJ
cana-2870	367	18	and	and	CCONJ
cana-2870	367	19	recurrent	recurrent	ADJ
cana-2870	367	20	neural	neural	ADJ
cana-2870	367	21	network	network	NOUN
cana-2870	367	22	for	for	ADP
cana-2870	367	23	sentiment	sentiment	NOUN
cana-2870	367	24	analysis	analysis	NOUN
cana-2870	367	25	of	of	ADP
cana-2870	367	26	short	short	ADJ
cana-2870	367	27	texts	text	NOUN
cana-2870	367	28	,	,	PUNCT
cana-2870	367	29	"	"	PUNCT
cana-2870	367	30	in	in	ADP
cana-2870	367	31	proc	proc	NOUN
cana-2870	367	32	.	.	PUNCT
cana-2870	368	1	26th	26th	ADJ
cana-2870	368	2	int	int	NOUN
cana-2870	368	3	.	.	PUNCT
cana-2870	368	4	conf	conf	NOUN
cana-2870	368	5	.	.	PUNCT
cana-2870	369	1	comput	comput	NOUN
cana-2870	369	2	.	.	PUNCT
cana-2870	370	1	linguistics	linguistic	NOUN
cana-2870	370	2	:	:	PUNCT
cana-2870	370	3	tech	tech	NOUN
cana-2870	370	4	.	.	PUNCT
cana-2870	371	1	papers	paper	NOUN
cana-2870	371	2	(	(	PUNCT
cana-2870	371	3	coling	cole	VERB
cana-2870	371	4	)	)	PUNCT
cana-2870	371	5	,	,	PUNCT
cana-2870	371	6	osaka	osaka	PROPN
cana-2870	371	7	,	,	PUNCT
cana-2870	371	8	japan	japan	PROPN
cana-2870	371	9	,	,	PUNCT
cana-2870	371	10	dec	dec	PROPN
cana-2870	371	11	.	.	PROPN
cana-2870	371	12	2016	2016	NUM
cana-2870	371	13	,	,	PUNCT
cana-2870	371	14	pp	pp	ADJ
cana-2870	371	15	.	.	PUNCT
cana-2870	371	16	2428–2437	2428–2437	NUM
cana-2870	371	17	.	.	PUNCT
cana-2870	372	1	[	[	X
cana-2870	372	2	29	29	NUM
cana-2870	372	3	]	]	X
cana-2870	372	4	r.	r.	PROPN
cana-2870	372	5	dey	dey	PROPN
cana-2870	372	6	and	and	CCONJ
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cana-2870	372	8	m.	m.	PROPN
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cana-2870	372	10	,	,	PUNCT
cana-2870	372	11	"	"	PUNCT
cana-2870	372	12	gate	gate	NOUN
cana-2870	372	13	-	-	PUNCT
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cana-2870	372	16	gated	gate	VERB
cana-2870	372	17	recurrent	recurrent	ADJ
cana-2870	372	18	unit	unit	NOUN
cana-2870	372	19	(	(	PUNCT
cana-2870	372	20	gru	gru	NOUN
cana-2870	372	21	)	)	PUNCT
cana-2870	372	22	neural	neural	ADJ
cana-2870	372	23	networks	network	NOUN
cana-2870	372	24	,	,	PUNCT
cana-2870	372	25	"	"	PUNCT
cana-2870	372	26	in	in	ADP
cana-2870	372	27	proc	proc	NOUN
cana-2870	372	28	.	.	PUNCT
cana-2870	373	1	2017	2017	NUM
cana-2870	373	2	ieee	ieee	NOUN
cana-2870	373	3	60th	60th	ADJ
cana-2870	373	4	int	int	NOUN
cana-2870	373	5	.	.	PUNCT
cana-2870	374	1	midwest	midwest	PROPN
cana-2870	374	2	symp	symp	PROPN
cana-2870	374	3	.	.	PUNCT
cana-2870	375	1	circuits	circuit	NOUN
cana-2870	375	2	syst	syst	PROPN
cana-2870	375	3	.	.	PUNCT
cana-2870	376	1	(	(	PUNCT
cana-2870	376	2	mwscas	mwscas	NOUN
cana-2870	376	3	)	)	PUNCT
cana-2870	376	4	,	,	PUNCT
cana-2870	376	5	boston	boston	PROPN
cana-2870	376	6	,	,	PUNCT
cana-2870	376	7	ma	ma	PROPN
cana-2870	376	8	,	,	PUNCT
cana-2870	376	9	usa	usa	PROPN
cana-2870	376	10	,	,	PUNCT
cana-2870	376	11	aug	aug	PROPN
cana-2870	376	12	.	.	PROPN
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cana-2870	376	14	,	,	PUNCT
cana-2870	376	15	pp	pp	ADJ
cana-2870	376	16	.	.	PUNCT
cana-2870	377	1	1597–1600	1597–1600	X
cana-2870	377	2	.	.	PUNCT
cana-2870	378	1	[	[	X
cana-2870	378	2	30	30	NUM
cana-2870	378	3	]	]	X
cana-2870	378	4	m.	m.	NOUN
cana-2870	378	5	schuster	schuster	NOUN
cana-2870	378	6	and	and	CCONJ
cana-2870	378	7	k.	k.	PROPN
cana-2870	378	8	k.	k.	PROPN
cana-2870	378	9	paliwal	paliwal	PROPN
cana-2870	378	10	,	,	PUNCT
cana-2870	378	11	"	"	PUNCT
cana-2870	378	12	bidirectional	bidirectional	ADJ
cana-2870	378	13	recurrent	recurrent	ADJ
cana-2870	378	14	neural	neural	ADJ
cana-2870	378	15	networks	network	NOUN
cana-2870	378	16	,	,	PUNCT
cana-2870	378	17	"	"	PUNCT
cana-2870	378	18	ieee	ieee	NOUN
cana-2870	378	19	trans	trans	PROPN
cana-2870	378	20	.	.	PROPN
cana-2870	378	21	signal	signal	PROPN
cana-2870	378	22	process	process	NOUN
cana-2870	378	23	.	.	PUNCT
cana-2870	378	24	,	,	PUNCT
cana-2870	378	25	vol	vol	NOUN
cana-2870	378	26	.	.	PROPN
cana-2870	379	1	45	45	NUM
cana-2870	379	2	,	,	PUNCT
cana-2870	379	3	pp	pp	ADJ
cana-2870	379	4	.	.	PUNCT
cana-2870	380	1	2673–2681	2673–2681	NUM
cana-2870	380	2	,	,	PUNCT
cana-2870	380	3	1997	1997	NUM
cana-2870	380	4	.	.	PUNCT
cana-2870	381	1	communications	communication	NOUN
cana-2870	381	2	on	on	ADP
cana-2870	381	3	applied	apply	VERB
cana-2870	381	4	nonlinear	nonlinear	ADJ
cana-2870	381	5	analysis	analysis	NOUN
cana-2870	381	6	issn	issn	NOUN
cana-2870	381	7	:	:	PUNCT
cana-2870	381	8	1074	1074	NUM
cana-2870	381	9	-	-	PUNCT
cana-2870	381	10	133x	133x	NUM
cana-2870	381	11	vol	vol	NOUN
cana-2870	381	12	32	32	NUM
cana-2870	381	13	no	no	NOUN
cana-2870	381	14	.	.	PUNCT
cana-2870	382	1	4s	4s	NUM
cana-2870	382	2	(	(	PUNCT
cana-2870	382	3	2025	2025	NUM
cana-2870	382	4	)	)	PUNCT
cana-2870	382	5	551	551	NUM
cana-2870	382	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-2870	383	1	[	[	X
cana-2870	383	2	31	31	NUM
cana-2870	383	3	]	]	PUNCT
cana-2870	383	4	s.	s.	PROPN
cana-2870	383	5	lai	lai	PROPN
cana-2870	383	6	,	,	PUNCT
cana-2870	383	7	c.	c.	PROPN
cana-2870	383	8	ye	ye	PROPN
cana-2870	383	9	,	,	PUNCT
cana-2870	383	10	and	and	CCONJ
cana-2870	383	11	h.	h.	PROPN
cana-2870	383	12	zhou	zhou	PROPN
cana-2870	383	13	,	,	PUNCT
cana-2870	383	14	"	"	PUNCT
cana-2870	383	15	chinese	chinese	ADJ
cana-2870	383	16	stock	stock	NOUN
cana-2870	383	17	trend	trend	NOUN
cana-2870	383	18	prediction	prediction	NOUN
cana-2870	383	19	based	base	VERB
cana-2870	383	20	on	on	ADP
cana-2870	383	21	multi	multi	ADJ
cana-2870	383	22	-	-	ADJ
cana-2870	383	23	feature	feature	ADJ
cana-2870	383	24	learning	learning	NOUN
cana-2870	383	25	and	and	CCONJ
cana-2870	383	26	model	model	NOUN
cana-2870	383	27	fusion	fusion	NOUN
cana-2870	383	28	,	,	PUNCT
cana-2870	383	29	"	"	PUNCT
cana-2870	383	30	in	in	ADP
cana-2870	383	31	proc	proc	NOUN
cana-2870	383	32	.	.	PUNCT
cana-2870	384	1	2021	2021	NUM
cana-2870	384	2	ieee	ieee	PROPN
cana-2870	384	3	int	int	NOUN
cana-2870	384	4	.	.	PUNCT
cana-2870	385	1	conf	conf	NOUN
cana-2870	385	2	.	.	PUNCT
cana-2870	386	1	smart	smart	ADJ
cana-2870	386	2	data	datum	NOUN
cana-2870	386	3	services	service	NOUN
cana-2870	386	4	(	(	PUNCT
cana-2870	386	5	smds	smds	NOUN
cana-2870	386	6	)	)	PUNCT
cana-2870	386	7	,	,	PUNCT
cana-2870	386	8	chicago	chicago	PROPN
cana-2870	386	9	,	,	PUNCT
cana-2870	386	10	il	il	PROPN
cana-2870	386	11	,	,	PUNCT
cana-2870	386	12	usa	usa	PROPN
cana-2870	386	13	,	,	PUNCT
cana-2870	386	14	sep	sep	PROPN
cana-2870	386	15	.	.	PROPN
cana-2870	386	16	2021	2021	NUM
cana-2870	386	17	,	,	PUNCT
cana-2870	386	18	pp	pp	ADV
cana-2870	386	19	.	.	PUNCT
cana-2870	387	1	18–23	18–23	NUM
cana-2870	387	2	.	.	PUNCT
cana-2870	388	1	[	[	X
cana-2870	388	2	32	32	NUM
cana-2870	388	3	]	]	PUNCT
cana-2870	388	4	a.	a.	NOUN
cana-2870	388	5	singh	singh	PROPN
cana-2870	388	6	,	,	PUNCT
cana-2870	388	7	a.	a.	PROPN
cana-2870	388	8	kumar	kumar	PROPN
cana-2870	388	9	,	,	PUNCT
cana-2870	388	10	and	and	CCONJ
cana-2870	388	11	z.	z.	PROPN
cana-2870	388	12	akhtar	akhtar	PROPN
cana-2870	388	13	,	,	PUNCT
cana-2870	388	14	"	"	PUNCT
cana-2870	388	15	bitcoin	bitcoin	ADJ
cana-2870	388	16	price	price	NOUN
cana-2870	388	17	prediction	prediction	NOUN
cana-2870	388	18	:	:	PUNCT
cana-2870	388	19	a	a	DET
cana-2870	388	20	deep	deep	ADJ
cana-2870	388	21	learning	learning	NOUN
cana-2870	388	22	approach	approach	NOUN
cana-2870	388	23	,	,	PUNCT
cana-2870	388	24	"	"	PUNCT
cana-2870	388	25	in	in	ADP
cana-2870	388	26	proc	proc	NOUN
cana-2870	388	27	.	.	PUNCT
cana-2870	389	1	2021	2021	NUM
cana-2870	389	2	8th	8th	ADJ
cana-2870	389	3	int	int	NOUN
cana-2870	389	4	.	.	PUNCT
cana-2870	390	1	conf	conf	PROPN
cana-2870	390	2	.	.	PUNCT
cana-2870	390	3	signal	signal	PROPN
cana-2870	390	4	process	process	NOUN
cana-2870	390	5	.	.	PUNCT
cana-2870	391	1	integr	integr	PROPN
cana-2870	391	2	.	.	PUNCT
cana-2870	392	1	netw	netw	NOUN
cana-2870	392	2	.	.	PUNCT
cana-2870	393	1	(	(	PUNCT
cana-2870	393	2	spin	spin	NOUN
cana-2870	393	3	)	)	PUNCT
cana-2870	393	4	,	,	PUNCT
cana-2870	393	5	noida	noida	PROPN
cana-2870	393	6	,	,	PUNCT
cana-2870	393	7	india	india	PROPN
cana-2870	393	8	,	,	PUNCT
cana-2870	393	9	aug	aug	PROPN
cana-2870	393	10	.	.	PROPN
cana-2870	393	11	2021	2021	NUM
cana-2870	393	12	,	,	PUNCT
cana-2870	393	13	pp	pp	ADJ
cana-2870	393	14	.	.	PUNCT
cana-2870	394	1	1053–1058	1053–1058	NUM
cana-2870	394	2	.	.	PUNCT
cana-2870	395	1	[	[	X
cana-2870	395	2	33	33	NUM
cana-2870	395	3	]	]	PUNCT
cana-2870	395	4	k.	k.	PROPN
cana-2870	395	5	a.	a.	PROPN
cana-2870	395	6	althelaya	althelaya	PROPN
cana-2870	395	7	,	,	PUNCT
cana-2870	395	8	e.	e.	PROPN
cana-2870	395	9	s.	s.	PROPN
cana-2870	395	10	m.	m.	PROPN
cana-2870	396	1	el	el	PROPN
cana-2870	396	2	-	-	PROPN
cana-2870	396	3	alfy	alfy	PROPN
cana-2870	396	4	,	,	PUNCT
cana-2870	396	5	and	and	CCONJ
cana-2870	396	6	s.	s.	PROPN
cana-2870	396	7	mohammed	mohammed	PROPN
cana-2870	396	8	,	,	PUNCT
cana-2870	396	9	"	"	PUNCT
cana-2870	396	10	stock	stock	NOUN
cana-2870	396	11	market	market	NOUN
cana-2870	396	12	forecast	forecast	NOUN
cana-2870	396	13	using	use	VERB
cana-2870	396	14	multivariate	multivariate	NOUN
cana-2870	396	15	analysis	analysis	NOUN
cana-2870	396	16	with	with	ADP
cana-2870	396	17	bidirectional	bidirectional	NOUN
cana-2870	396	18	and	and	CCONJ
cana-2870	396	19	stacked	stack	VERB
cana-2870	396	20	(	(	PUNCT
cana-2870	396	21	lstm	lstm	PROPN
cana-2870	396	22	,	,	PUNCT
cana-2870	396	23	gru	gru	PROPN
cana-2870	396	24	)	)	PUNCT
cana-2870	396	25	,	,	PUNCT
cana-2870	396	26	"	"	PUNCT
cana-2870	396	27	in	in	ADP
cana-2870	396	28	proc	proc	NOUN
cana-2870	396	29	.	.	PUNCT
cana-2870	397	1	2018	2018	NUM
cana-2870	397	2	21st	21st	ADJ
cana-2870	397	3	saudi	saudi	ADJ
cana-2870	397	4	comput	comput	NOUN
cana-2870	397	5	.	.	PUNCT
cana-2870	398	1	soc	soc	PROPN
cana-2870	398	2	.	.	PUNCT
cana-2870	399	1	nat	nat	PROPN
cana-2870	399	2	.	.	PUNCT
cana-2870	400	1	comput	comput	PROPN
cana-2870	400	2	.	.	PUNCT
cana-2870	400	3	conf	conf	PROPN
cana-2870	400	4	.	.	PUNCT
cana-2870	401	1	(	(	PUNCT
cana-2870	401	2	ncc	ncc	NOUN
cana-2870	401	3	)	)	PUNCT
cana-2870	401	4	,	,	PUNCT
cana-2870	401	5	riyadh	riyadh	PROPN
cana-2870	401	6	,	,	PUNCT
cana-2870	401	7	saudi	saudi	PROPN
cana-2870	401	8	arabia	arabia	PROPN
cana-2870	401	9	,	,	PUNCT
cana-2870	401	10	apr	apr	PROPN
cana-2870	401	11	.	.	PROPN
cana-2870	401	12	2018	2018	NUM
cana-2870	401	13	,	,	PUNCT
cana-2870	401	14	pp	pp	ADV
cana-2870	401	15	.	.	PUNCT
cana-2870	402	1	1–7	1–7	X
cana-2870	402	2	.	.	PUNCT
cana-2870	403	1	[	[	X
cana-2870	403	2	34	34	NUM
cana-2870	403	3	]	]	PUNCT
cana-2870	403	4	z.	z.	PROPN
cana-2870	403	5	na	na	PROPN
cana-2870	403	6	et	et	PROPN
cana-2870	403	7	al	al	PROPN
cana-2870	403	8	.	.	PROPN
cana-2870	403	9	,	,	PUNCT
cana-2870	403	10	"	"	PUNCT
cana-2870	403	11	subcarrier	subcarrier	NOUN
cana-2870	403	12	allocation	allocation	NOUN
cana-2870	403	13	based	base	VERB
cana-2870	403	14	simultaneous	simultaneous	ADJ
cana-2870	403	15	wireless	wireless	ADJ
cana-2870	403	16	information	information	NOUN
cana-2870	403	17	and	and	CCONJ
cana-2870	403	18	power	power	NOUN
cana-2870	403	19	transfer	transfer	NOUN
cana-2870	403	20	algorithm	algorithm	NOUN
cana-2870	403	21	in	in	ADP
cana-2870	403	22	5	5	NUM
cana-2870	403	23	g	g	NOUN
cana-2870	403	24	cooperative	cooperative	ADJ
cana-2870	403	25	ofdm	ofdm	NOUN
cana-2870	403	26	communication	communication	NOUN
cana-2870	403	27	systems	system	NOUN
cana-2870	403	28	,	,	PUNCT
cana-2870	403	29	"	"	PUNCT
cana-2870	403	30	phys	phy	NOUN
cana-2870	403	31	.	.	PUNCT
cana-2870	404	1	commun	commun	PROPN
cana-2870	404	2	.	.	PROPN
cana-2870	404	3	,	,	PUNCT
cana-2870	404	4	vol	vol	NOUN
cana-2870	404	5	.	.	PROPN
cana-2870	404	6	29	29	NUM
cana-2870	404	7	,	,	PUNCT
cana-2870	404	8	pp	pp	ADJ
cana-2870	404	9	.	.	PUNCT
cana-2870	405	1	164–170	164–170	NUM
cana-2870	405	2	,	,	PUNCT
cana-2870	405	3	2018	2018	NUM
cana-2870	405	4	.	.	PUNCT
cana-2870	406	1	[	[	X
cana-2870	406	2	35	35	NUM
cana-2870	406	3	]	]	X
cana-2870	406	4	s.	s.	PROPN
cana-2870	406	5	hansun	hansun	PROPN
cana-2870	406	6	,	,	PUNCT
cana-2870	406	7	a.	a.	PROPN
cana-2870	406	8	wicaksana	wicaksana	PROPN
cana-2870	406	9	,	,	PUNCT
cana-2870	406	10	and	and	CCONJ
cana-2870	406	11	a.	a.	PROPN
cana-2870	406	12	q.	q.	PROPN
cana-2870	406	13	khaliq	khaliq	PROPN
cana-2870	406	14	,	,	PUNCT
cana-2870	406	15	"	"	PUNCT
cana-2870	406	16	multivariate	multivariate	NOUN
cana-2870	406	17	cryptocurrency	cryptocurrency	NOUN
cana-2870	406	18	prediction	prediction	NOUN
cana-2870	406	19	:	:	PUNCT
cana-2870	406	20	comparative	comparative	ADJ
cana-2870	406	21	analysis	analysis	NOUN
cana-2870	406	22	of	of	ADP
cana-2870	406	23	three	three	NUM
cana-2870	406	24	recurrent	recurrent	ADJ
cana-2870	406	25	neural	neural	ADJ
cana-2870	406	26	networks	network	NOUN
cana-2870	406	27	approaches	approach	NOUN
cana-2870	406	28	,	,	PUNCT
cana-2870	406	29	"	"	PUNCT
cana-2870	406	30	j.	j.	PROPN
cana-2870	406	31	big	big	PROPN
cana-2870	406	32	data	data	PROPN
cana-2870	406	33	,	,	PUNCT
cana-2870	406	34	vol	vol	NOUN
cana-2870	406	35	.	.	PROPN
cana-2870	406	36	9	9	NUM
cana-2870	406	37	,	,	PUNCT
cana-2870	406	38	p.	p.	NOUN
cana-2870	406	39	1	1	NUM
cana-2870	406	40	,	,	PUNCT
cana-2870	406	41	2022	2022	NUM
cana-2870	406	42	.	.	PUNCT
cana-2870	407	1	[	[	X
cana-2870	407	2	36	36	NUM
cana-2870	407	3	]	]	PUNCT
cana-2870	407	4	s.	s.	PROPN
cana-2870	407	5	o.	o.	PROPN
cana-2870	407	6	birim	birim	PROPN
cana-2870	407	7	,	,	PUNCT
cana-2870	407	8	"	"	PUNCT
cana-2870	407	9	an	an	DET
cana-2870	407	10	analysis	analysis	NOUN
cana-2870	407	11	for	for	ADP
cana-2870	407	12	cryptocurrency	cryptocurrency	NOUN
cana-2870	407	13	price	price	NOUN
cana-2870	407	14	prediction	prediction	NOUN
cana-2870	407	15	using	use	VERB
cana-2870	407	16	lstm	lstm	PROPN
cana-2870	407	17	,	,	PUNCT
cana-2870	407	18	gru	gru	PROPN
cana-2870	407	19	,	,	PUNCT
cana-2870	407	20	and	and	CCONJ
cana-2870	407	21	the	the	DET
cana-2870	407	22	bi	bi	ADJ
cana-2870	407	23	-	-	ADJ
cana-2870	407	24	directional	directional	ADJ
cana-2870	407	25	implications	implication	NOUN
cana-2870	407	26	,	,	PUNCT
cana-2870	407	27	"	"	PUNCT
cana-2870	407	28	in	in	ADP
cana-2870	407	29	developments	development	NOUN
cana-2870	407	30	in	in	ADP
cana-2870	407	31	financial	financial	ADJ
cana-2870	407	32	and	and	CCONJ
cana-2870	407	33	economic	economic	ADJ
cana-2870	407	34	fields	field	NOUN
cana-2870	407	35	at	at	ADP
cana-2870	407	36	the	the	DET
cana-2870	407	37	national	national	ADJ
cana-2870	407	38	and	and	CCONJ
cana-2870	407	39	global	global	ADJ
cana-2870	407	40	scale	scale	NOUN
cana-2870	407	41	,	,	PUNCT
cana-2870	407	42	m.	m.	NOUN
cana-2870	407	43	cömert	cömert	PROPN
cana-2870	407	44	and	and	CCONJ
cana-2870	407	45	a.	a.	PROPN
cana-2870	407	46	e.	e.	PROPN
cana-2870	407	47	şimşek	şimşek	PROPN
cana-2870	407	48	,	,	PUNCT
cana-2870	407	49	eds	eds	PROPN
cana-2870	407	50	.	.	PROPN
cana-2870	407	51	,	,	PUNCT
cana-2870	407	52	ankara	ankara	PROPN
cana-2870	407	53	,	,	PUNCT
cana-2870	407	54	türkiye	türkiye	PROPN
cana-2870	407	55	:	:	PUNCT
cana-2870	407	56	gazi	gazi	PROPN
cana-2870	407	57	kitabevi	kitabevi	PROPN
cana-2870	407	58	,	,	PUNCT
cana-2870	407	59	2022	2022	NUM
cana-2870	407	60	,	,	PUNCT
cana-2870	407	61	pp	pp	ADJ
cana-2870	407	62	.	.	PUNCT
cana-2870	408	1	377–392	377–392	NUM