id	sid	tid	token	lemma	pos
cana-1281	1	1	communications	communication	NOUN
cana-1281	1	2	on	on	ADP
cana-1281	1	3	applied	apply	VERB
cana-1281	1	4	nonlinear	nonlinear	ADJ
cana-1281	1	5	analysis	analysis	NOUN
cana-1281	1	6	issn	issn	NOUN
cana-1281	1	7	:	:	PUNCT
cana-1281	1	8	1074	1074	NUM
cana-1281	1	9	-	-	PUNCT
cana-1281	1	10	133x	133x	NUM
cana-1281	1	11	vol	vol	NOUN
cana-1281	1	12	31	31	NUM
cana-1281	1	13	no	no	NOUN
cana-1281	1	14	.	.	PUNCT
cana-1281	2	1	7s	7	NOUN
cana-1281	2	2	(	(	PUNCT
cana-1281	2	3	2024	2024	NUM
cana-1281	2	4	)	)	PUNCT
cana-1281	2	5	22	22	NUM
cana-1281	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	3	2	exploring	explore	VERB
cana-1281	3	3	applied	apply	VERB
cana-1281	3	4	nonlinear	nonlinear	ADJ
cana-1281	3	5	analysis	analysis	NOUN
cana-1281	3	6	and	and	CCONJ
cana-1281	3	7	machine	machine	NOUN
cana-1281	3	8	learning	learning	NOUN
cana-1281	3	9	in	in	ADP
cana-1281	3	10	the	the	DET
cana-1281	3	11	evolution	evolution	NOUN
cana-1281	3	12	of	of	ADP
cana-1281	3	13	blockchain	blockchain	PROPN
cana-1281	3	14	technology	technology	PROPN
cana-1281	3	15	neelima	neelima	PROPN
cana-1281	3	16	priyanka	priyanka	PROPN
cana-1281	3	17	nutulapati1	nutulapati1	PROPN
cana-1281	3	18	,	,	PUNCT
cana-1281	3	19	s.	s.	PROPN
cana-1281	3	20	sudhakar	sudhakar	PROPN
cana-1281	3	21	reddy2	reddy2	PROPN
cana-1281	3	22	,	,	PUNCT
cana-1281	3	23	a.	a.	PROPN
cana-1281	3	24	thangam3	thangam3	PROPN
cana-1281	3	25	,	,	PUNCT
cana-1281	3	26	ullal	ullal	PROPN
cana-1281	3	27	akshatha	akshatha	PROPN
cana-1281	3	28	nayak4	nayak4	PROPN
cana-1281	3	29	,	,	PUNCT
cana-1281	3	30	dhivya	dhivya	ADJ
cana-1281	3	31	ramasamy5	ramasamy5	PROPN
cana-1281	3	32	,	,	PUNCT
cana-1281	3	33	thulasimani	thulasimani	PROPN
cana-1281	3	34	t6	t6	PROPN
cana-1281	3	35	.	.	PUNCT
cana-1281	4	1	1professor	1professor	NUM
cana-1281	4	2	,	,	PUNCT
cana-1281	4	3	department	department	NOUN
cana-1281	4	4	of	of	ADP
cana-1281	4	5	cse	cse	PROPN
cana-1281	4	6	,	,	PUNCT
cana-1281	4	7	potti	potti	NOUN
cana-1281	4	8	sriramulu	sriramulu	VERB
cana-1281	4	9	chalavadi	chalavadi	PROPN
cana-1281	4	10	mallikarjunarao	mallikarjunarao	PROPN
cana-1281	4	11	college	college	PROPN
cana-1281	4	12	of	of	ADP
cana-1281	4	13	engineering	engineering	PROPN
cana-1281	4	14	&	&	CCONJ
cana-1281	4	15	technology	technology	PROPN
cana-1281	4	16	,	,	PUNCT
cana-1281	4	17	andhra	andhra	PROPN
cana-1281	4	18	pradesh	pradesh	PROPN
cana-1281	4	19	,	,	PUNCT
cana-1281	4	20	india	india	PROPN
cana-1281	4	21	.	.	PUNCT
cana-1281	5	1	priyanka.nutulapati@gmail.com	priyanka.nutulapati@gmail.com	X
cana-1281	5	2	2professor	2professor	NUM
cana-1281	5	3	,	,	PUNCT
cana-1281	5	4	department	department	NOUN
cana-1281	5	5	of	of	ADP
cana-1281	5	6	mathematics	mathematic	NOUN
cana-1281	5	7	,	,	PUNCT
cana-1281	5	8	sri	sri	PROPN
cana-1281	5	9	venkateswara	venkateswara	PROPN
cana-1281	5	10	college	college	PROPN
cana-1281	5	11	of	of	ADP
cana-1281	5	12	engineering	engineering	NOUN
cana-1281	5	13	(	(	PUNCT
cana-1281	5	14	autonomous	autonomous	ADJ
cana-1281	5	15	)	)	PUNCT
cana-1281	5	16	,	,	PUNCT
cana-1281	5	17	tirupati	tirupati	PROPN
cana-1281	5	18	,	,	PUNCT
cana-1281	5	19	andhra	andhra	PROPN
cana-1281	5	20	pradesh	pradesh	PROPN
cana-1281	5	21	,	,	PUNCT
cana-1281	5	22	india	india	PROPN
cana-1281	5	23	.	.	PUNCT
cana-1281	6	1	drsudhakarreddy.s@svcolleges.edu.in	drsudhakarreddy.s@svcolleges.edu.in	PROPN
cana-1281	7	1	3department	3department	NUM
cana-1281	7	2	of	of	ADP
cana-1281	7	3	mathematics	mathematic	NOUN
cana-1281	7	4	,	,	PUNCT
cana-1281	7	5	pondicherry	pondicherry	ADJ
cana-1281	7	6	university	university	NOUN
cana-1281	7	7	-	-	PUNCT
cana-1281	7	8	community	community	NOUN
cana-1281	7	9	college	college	NOUN
cana-1281	7	10	,	,	PUNCT
cana-1281	7	11	lawspet	lawspet	NOUN
cana-1281	7	12	,	,	PUNCT
cana-1281	7	13	pondicherry	pondicherry	PROPN
cana-1281	7	14	,	,	PUNCT
cana-1281	7	15	india	india	PROPN
cana-1281	7	16	.	.	PUNCT
cana-1281	8	1	thangamgri@yahoo.com	thangamgri@yahoo.com	X
cana-1281	9	1	4assistant	4assistant	NUM
cana-1281	9	2	professor	professor	NOUN
cana-1281	9	3	,	,	PUNCT
cana-1281	9	4	department	department	NOUN
cana-1281	9	5	of	of	ADP
cana-1281	9	6	ise	ise	PROPN
cana-1281	9	7	,	,	PUNCT
cana-1281	9	8	nitte	nitte	PROPN
cana-1281	9	9	meenakshi	meenakshi	PROPN
cana-1281	9	10	institute	institute	PROPN
cana-1281	9	11	of	of	ADP
cana-1281	9	12	technology	technology	PROPN
cana-1281	9	13	,	,	PUNCT
cana-1281	9	14	bengaluru	bengaluru	PROPN
cana-1281	9	15	,	,	PUNCT
cana-1281	9	16	karnataka	karnataka	PROPN
cana-1281	9	17	,	,	PUNCT
cana-1281	9	18	india	india	PROPN
cana-1281	9	19	.	.	PUNCT
cana-1281	10	1	akshatha.n@nmit.ac.in	akshatha.n@nmit.ac.in	PROPN
cana-1281	11	1	5assistant	5assistant	NUM
cana-1281	11	2	professor	professor	NOUN
cana-1281	11	3	,	,	PUNCT
cana-1281	11	4	department	department	NOUN
cana-1281	11	5	of	of	ADP
cana-1281	11	6	information	information	NOUN
cana-1281	11	7	technology	technology	NOUN
cana-1281	11	8	,	,	PUNCT
cana-1281	11	9	m.kumarasamy	m.kumarasamy	ADJ
cana-1281	11	10	college	college	NOUN
cana-1281	11	11	of	of	ADP
cana-1281	11	12	engineering	engineering	PROPN
cana-1281	11	13	,	,	PUNCT
cana-1281	11	14	karur	karur	PROPN
cana-1281	11	15	,	,	PUNCT
cana-1281	11	16	tamilnadu	tamilnadu	PROPN
cana-1281	11	17	,	,	PUNCT
cana-1281	11	18	india	india	PROPN
cana-1281	11	19	.	.	PUNCT
cana-1281	12	1	dhivyaramasamy25@gmail.com	dhivyaramasamy25@gmail.com	X
cana-1281	13	1	6associate	6associate	NUM
cana-1281	13	2	professor	professor	NOUN
cana-1281	13	3	,	,	PUNCT
cana-1281	13	4	department	department	NOUN
cana-1281	13	5	of	of	ADP
cana-1281	13	6	mathematics	mathematic	NOUN
cana-1281	13	7	,	,	PUNCT
cana-1281	13	8	bannari	bannari	PROPN
cana-1281	13	9	amman	amman	PROPN
cana-1281	13	10	institute	institute	PROPN
cana-1281	13	11	of	of	ADP
cana-1281	13	12	technology	technology	PROPN
cana-1281	13	13	,	,	PUNCT
cana-1281	13	14	sathyamangalam	sathyamangalam	PROPN
cana-1281	13	15	,	,	PUNCT
cana-1281	13	16	tamilnadu	tamilnadu	PROPN
cana-1281	13	17	,	,	PUNCT
cana-1281	13	18	india	india	PROPN
cana-1281	13	19	.	.	PUNCT
cana-1281	14	1	thulasimanithangamani@gmail.com	thulasimanithangamani@gmail.com	PROPN
cana-1281	14	2	article	article	NOUN
cana-1281	14	3	history	history	NOUN
cana-1281	14	4	:	:	PUNCT
cana-1281	14	5	received	receive	VERB
cana-1281	14	6	:	:	PUNCT
cana-1281	14	7	01	01	NUM
cana-1281	14	8	-	-	PUNCT
cana-1281	14	9	06	06	NUM
cana-1281	14	10	-	-	PUNCT
cana-1281	14	11	2024	2024	NUM
cana-1281	14	12	revised	revise	VERB
cana-1281	14	13	:	:	PUNCT
cana-1281	14	14	03	03	NUM
cana-1281	14	15	-	-	PUNCT
cana-1281	14	16	07	07	NUM
cana-1281	14	17	-	-	PUNCT
cana-1281	14	18	2024	2024	NUM
cana-1281	14	19	accepted	accept	VERB
cana-1281	14	20	:	:	PUNCT
cana-1281	14	21	29	29	NUM
cana-1281	14	22	-	-	SYM
cana-1281	14	23	07	07	NUM
cana-1281	14	24	-	-	PUNCT
cana-1281	14	25	2024	2024	NUM
cana-1281	14	26	abstract	abstract	NOUN
cana-1281	14	27	:	:	PUNCT
cana-1281	14	28	blockchain	blockchain	PROPN
cana-1281	14	29	technology	technology	PROPN
cana-1281	14	30	is	be	AUX
cana-1281	14	31	developing	develop	VERB
cana-1281	14	32	quickly	quickly	ADV
cana-1281	14	33	,	,	PUNCT
cana-1281	14	34	hence	hence	ADV
cana-1281	14	35	its	its	PRON
cana-1281	14	36	application	application	NOUN
cana-1281	14	37	in	in	ADP
cana-1281	14	38	data	datum	NOUN
cana-1281	14	39	storage	storage	NOUN
cana-1281	14	40	for	for	ADP
cana-1281	14	41	healthcare	healthcare	NOUN
cana-1281	14	42	presents	present	VERB
cana-1281	14	43	a	a	DET
cana-1281	14	44	good	good	ADJ
cana-1281	14	45	way	way	NOUN
cana-1281	14	46	to	to	PART
cana-1281	14	47	increase	increase	VERB
cana-1281	14	48	data	datum	NOUN
cana-1281	14	49	security	security	NOUN
cana-1281	14	50	and	and	CCONJ
cana-1281	14	51	integrity	integrity	NOUN
cana-1281	14	52	.	.	PUNCT
cana-1281	15	1	blockchain	blockchain	PROPN
cana-1281	15	2	's	's	PART
cana-1281	15	3	distributed	distribute	VERB
cana-1281	15	4	nature	nature	NOUN
cana-1281	15	5	and	and	CCONJ
cana-1281	15	6	unchangeable	unchangeable	ADJ
cana-1281	15	7	ledger	ledger	NOUN
cana-1281	15	8	's	's	PART
cana-1281	15	9	character	character	NOUN
cana-1281	15	10	help	help	NOUN
cana-1281	15	11	to	to	PART
cana-1281	15	12	guard	guard	VERB
cana-1281	15	13	confidential	confidential	ADJ
cana-1281	15	14	medical	medical	ADJ
cana-1281	15	15	records	record	NOUN
cana-1281	15	16	.	.	PUNCT
cana-1281	16	1	still	still	ADV
cana-1281	16	2	,	,	PUNCT
cana-1281	16	3	ensuring	ensure	VERB
cana-1281	16	4	resilience	resilience	NOUN
cana-1281	16	5	and	and	CCONJ
cana-1281	16	6	optimizing	optimize	VERB
cana-1281	16	7	performance	performance	NOUN
cana-1281	16	8	depend	depend	VERB
cana-1281	16	9	on	on	ADP
cana-1281	16	10	the	the	DET
cana-1281	16	11	incorporation	incorporation	NOUN
cana-1281	16	12	of	of	ADP
cana-1281	16	13	innovative	innovative	ADJ
cana-1281	16	14	analytical	analytical	ADJ
cana-1281	16	15	methods	method	NOUN
cana-1281	16	16	.	.	PUNCT
cana-1281	17	1	for	for	ADP
cana-1281	17	2	current	current	ADJ
cana-1281	17	3	blockchain	blockchain	PROPN
cana-1281	17	4	solutions	solution	NOUN
cana-1281	17	5	for	for	ADP
cana-1281	17	6	storing	storing	NOUN
cana-1281	17	7	of	of	ADP
cana-1281	17	8	healthcare	healthcare	PROPN
cana-1281	17	9	data	datum	NOUN
cana-1281	17	10	,	,	PUNCT
cana-1281	17	11	efficiency	efficiency	NOUN
cana-1281	17	12	of	of	ADP
cana-1281	17	13	data	datum	NOUN
cana-1281	17	14	retrieval	retrieval	NOUN
cana-1281	17	15	and	and	CCONJ
cana-1281	17	16	transaction	transaction	NOUN
cana-1281	17	17	security	security	NOUN
cana-1281	17	18	creates	create	VERB
cana-1281	17	19	challenges	challenge	NOUN
cana-1281	17	20	.	.	PUNCT
cana-1281	18	1	big	big	ADJ
cana-1281	18	2	datasets	dataset	NOUN
cana-1281	18	3	are	be	AUX
cana-1281	18	4	challenging	challenge	VERB
cana-1281	18	5	for	for	ADP
cana-1281	18	6	conventional	conventional	ADJ
cana-1281	18	7	methods	method	NOUN
cana-1281	18	8	,	,	PUNCT
cana-1281	18	9	which	which	PRON
cana-1281	18	10	also	also	ADV
cana-1281	18	11	provide	provide	VERB
cana-1281	18	12	consistent	consistent	ADJ
cana-1281	18	13	access	access	NOUN
cana-1281	18	14	control	control	NOUN
cana-1281	18	15	.	.	PUNCT
cana-1281	19	1	this	this	DET
cana-1281	19	2	work	work	NOUN
cana-1281	19	3	explores	explore	VERB
cana-1281	19	4	potential	potential	ADJ
cana-1281	19	5	solutions	solution	NOUN
cana-1281	19	6	for	for	ADP
cana-1281	19	7	these	these	DET
cana-1281	19	8	issues	issue	NOUN
cana-1281	19	9	by	by	ADP
cana-1281	19	10	means	mean	NOUN
cana-1281	19	11	of	of	ADP
cana-1281	19	12	blockchain	blockchain	PROPN
cana-1281	19	13	technology	technology	PROPN
cana-1281	19	14	and	and	CCONJ
cana-1281	19	15	support	support	VERB
cana-1281	19	16	vector	vector	NOUN
cana-1281	19	17	machines	machine	NOUN
cana-1281	19	18	(	(	PUNCT
cana-1281	19	19	svm	svm	ADJ
cana-1281	19	20	)	)	PUNCT
cana-1281	19	21	integration	integration	NOUN
cana-1281	19	22	.	.	PUNCT
cana-1281	20	1	nonlinear	nonlinear	ADJ
cana-1281	20	2	analysis	analysis	NOUN
cana-1281	20	3	helps	help	VERB
cana-1281	20	4	to	to	PART
cana-1281	20	5	improve	improve	VERB
cana-1281	20	6	blockchain	blockchain	PROPN
cana-1281	20	7	system	system	NOUN
cana-1281	20	8	data	datum	NOUN
cana-1281	20	9	classification	classification	NOUN
cana-1281	20	10	and	and	CCONJ
cana-1281	20	11	retrieval	retrieval	NOUN
cana-1281	20	12	.	.	PUNCT
cana-1281	21	1	the	the	DET
cana-1281	21	2	proposed	propose	VERB
cana-1281	21	3	method	method	NOUN
cana-1281	21	4	consists	consist	VERB
cana-1281	21	5	in	in	ADP
cana-1281	21	6	preprocessing	preprocesse	VERB
cana-1281	21	7	healthcare	healthcare	PROPN
cana-1281	21	8	data	datum	NOUN
cana-1281	21	9	,	,	PUNCT
cana-1281	21	10	training	train	VERB
cana-1281	21	11	an	an	DET
cana-1281	21	12	svm	svm	ADJ
cana-1281	21	13	model	model	NOUN
cana-1281	21	14	to	to	PART
cana-1281	21	15	recognize	recognize	VERB
cana-1281	21	16	and	and	CCONJ
cana-1281	21	17	anticipate	anticipate	VERB
cana-1281	21	18	access	access	NOUN
cana-1281	21	19	patterns	pattern	NOUN
cana-1281	21	20	,	,	PUNCT
cana-1281	21	21	and	and	CCONJ
cana-1281	21	22	embedding	embed	VERB
cana-1281	21	23	these	these	DET
cana-1281	21	24	predictions	prediction	NOUN
cana-1281	21	25	into	into	ADP
cana-1281	21	26	blockchain	blockchain	PROPN
cana-1281	21	27	transactions	transaction	NOUN
cana-1281	21	28	to	to	PART
cana-1281	21	29	maximize	maximize	VERB
cana-1281	21	30	data	datum	NOUN
cana-1281	21	31	storage	storage	NOUN
cana-1281	21	32	and	and	CCONJ
cana-1281	21	33	retrieval	retrieval	NOUN
cana-1281	21	34	operations	operation	NOUN
cana-1281	21	35	.	.	PUNCT
cana-1281	22	1	blockchain	blockchain	PROPN
cana-1281	22	2	technology	technology	PROPN
cana-1281	22	3	helped	help	VERB
cana-1281	22	4	the	the	DET
cana-1281	22	5	svm	svm	PROPN
cana-1281	22	6	considerably	considerably	ADV
cana-1281	22	7	increase	increase	VERB
cana-1281	22	8	data	datum	NOUN
cana-1281	22	9	retrieval	retrieval	NOUN
cana-1281	22	10	security	security	NOUN
cana-1281	22	11	and	and	CCONJ
cana-1281	22	12	efficiency	efficiency	NOUN
cana-1281	22	13	.	.	PUNCT
cana-1281	23	1	numerical	numerical	ADJ
cana-1281	23	2	testing	testing	NOUN
cana-1281	23	3	reveal	reveal	VERB
cana-1281	23	4	a	a	DET
cana-1281	23	5	20	20	NUM
cana-1281	23	6	%	%	NOUN
cana-1281	23	7	increase	increase	NOUN
cana-1281	23	8	in	in	ADP
cana-1281	23	9	retrieval	retrieval	NOUN
cana-1281	23	10	speed	speed	NOUN
cana-1281	23	11	and	and	CCONJ
cana-1281	23	12	a	a	DET
cana-1281	23	13	15	15	NUM
cana-1281	23	14	%	%	NOUN
cana-1281	23	15	decrease	decrease	NOUN
cana-1281	23	16	in	in	ADP
cana-1281	23	17	undesired	undesired	ADJ
cana-1281	23	18	access	access	NOUN
cana-1281	23	19	attempts	attempt	NOUN
cana-1281	23	20	,	,	PUNCT
cana-1281	23	21	compared	compare	VERB
cana-1281	23	22	to	to	ADP
cana-1281	23	23	standard	standard	ADJ
cana-1281	23	24	methods	method	NOUN
cana-1281	23	25	.	.	PUNCT
cana-1281	24	1	with	with	ADP
cana-1281	24	2	92	92	NUM
cana-1281	24	3	%	%	NOUN
cana-1281	24	4	of	of	ADP
cana-1281	24	5	svm	svm	ADJ
cana-1281	24	6	-	-	PUNCT
cana-1281	24	7	based	base	VERB
cana-1281	24	8	classification	classification	NOUN
cana-1281	24	9	accuracy	accuracy	NOUN
cana-1281	24	10	,	,	PUNCT
cana-1281	24	11	access	access	NOUN
cana-1281	24	12	control	control	NOUN
cana-1281	24	13	systems	system	NOUN
cana-1281	24	14	become	become	VERB
cana-1281	24	15	far	far	ADV
cana-1281	24	16	more	more	ADV
cana-1281	24	17	effective	effective	ADJ
cana-1281	24	18	.	.	PUNCT
cana-1281	25	1	keywords	keyword	NOUN
cana-1281	25	2	:	:	PUNCT
cana-1281	25	3	blockchain	blockchain	PROPN
cana-1281	25	4	technology	technology	PROPN
cana-1281	25	5	,	,	PUNCT
cana-1281	25	6	healthcare	healthcare	PROPN
cana-1281	25	7	data	data	PROPN
cana-1281	25	8	storage	storage	NOUN
cana-1281	25	9	,	,	PUNCT
cana-1281	25	10	support	support	VERB
cana-1281	25	11	vector	vector	NOUN
cana-1281	25	12	machines	machine	NOUN
cana-1281	25	13	,	,	PUNCT
cana-1281	25	14	nonlinear	nonlinear	ADJ
cana-1281	25	15	analysis	analysis	NOUN
cana-1281	25	16	,	,	PUNCT
cana-1281	25	17	data	data	NOUN
cana-1281	25	18	security	security	NOUN
cana-1281	25	19	.	.	PUNCT
cana-1281	26	1	1	1	X
cana-1281	26	2	.	.	X
cana-1281	26	3	introduction	introduction	NOUN
cana-1281	26	4	because	because	SCONJ
cana-1281	26	5	blockchain	blockchain	PROPN
cana-1281	26	6	technology	technology	PROPN
cana-1281	26	7	integrated	integrate	VERB
cana-1281	26	8	with	with	ADP
cana-1281	26	9	machine	machine	NOUN
cana-1281	26	10	learning	learning	NOUN
cana-1281	26	11	—	—	PUNCT
cana-1281	26	12	especially	especially	ADV
cana-1281	26	13	support	support	VERB
cana-1281	26	14	vector	vector	NOUN
cana-1281	26	15	machines	machine	NOUN
cana-1281	26	16	(	(	PUNCT
cana-1281	26	17	svm)—has	svm)—ha	NOUN
cana-1281	26	18	potential	potential	NOUN
cana-1281	26	19	to	to	PART
cana-1281	26	20	improve	improve	VERB
cana-1281	26	21	data	data	NOUN
cana-1281	26	22	security	security	NOUN
cana-1281	26	23	and	and	CCONJ
cana-1281	26	24	integrity	integrity	NOUN
cana-1281	26	25	[	[	X
cana-1281	26	26	1	1	NUM
cana-1281	26	27	]	]	PUNCT
cana-1281	26	28	,	,	PUNCT
cana-1281	26	29	it	it	PRON
cana-1281	26	30	has	have	AUX
cana-1281	26	31	drawn	draw	VERB
cana-1281	26	32	a	a	DET
cana-1281	26	33	lot	lot	NOUN
cana-1281	26	34	of	of	ADP
cana-1281	26	35	interest	interest	NOUN
cana-1281	26	36	.	.	PUNCT
cana-1281	27	1	applications	application	NOUN
cana-1281	27	2	seeking	seek	VERB
cana-1281	27	3	trust	trust	NOUN
cana-1281	27	4	and	and	CCONJ
cana-1281	27	5	openness	openness	NOUN
cana-1281	27	6	need	need	VERB
cana-1281	27	7	on	on	ADP
cana-1281	27	8	a	a	DET
cana-1281	27	9	distributed	distribute	VERB
cana-1281	27	10	and	and	CCONJ
cana-1281	27	11	unchangeable	unchangeable	ADJ
cana-1281	27	12	ledger	ledger	NOUN
cana-1281	27	13	system	system	NOUN
cana-1281	27	14	made	make	VERB
cana-1281	27	15	available	available	ADJ
cana-1281	27	16	by	by	ADP
cana-1281	27	17	blockchain	blockchain	PROPN
cana-1281	27	18	[	[	X
cana-1281	27	19	2	2	NUM
cana-1281	27	20	]	]	PUNCT
cana-1281	27	21	.	.	PUNCT
cana-1281	28	1	in	in	ADP
cana-1281	28	2	pattern	pattern	NOUN
cana-1281	28	3	identification	identification	NOUN
cana-1281	28	4	and	and	CCONJ
cana-1281	28	5	accurate	accurate	ADJ
cana-1281	28	6	prediction	prediction	NOUN
cana-1281	28	7	making	making	NOUN
cana-1281	28	8	,	,	PUNCT
cana-1281	28	9	strong	strong	ADJ
cana-1281	28	10	classification	classification	NOUN
cana-1281	28	11	algorithm	algorithm	NOUN
cana-1281	28	12	svm	svm	NOUN
cana-1281	28	13	excels	excel	NOUN
cana-1281	28	14	[	[	X
cana-1281	28	15	3	3	NUM
cana-1281	28	16	]	]	PUNCT
cana-1281	28	17	.	.	PUNCT
cana-1281	29	1	combining	combine	VERB
cana-1281	29	2	these	these	DET
cana-1281	29	3	technologies	technology	NOUN
cana-1281	29	4	offers	offer	VERB
cana-1281	29	5	fascinating	fascinating	ADJ
cana-1281	29	6	possibilities	possibility	NOUN
cana-1281	30	1	mailto:priyanka.nutulapati@gmail.com	mailto:priyanka.nutulapati@gmail.com	NOUN
cana-1281	31	1	mailto:drsudhakarreddy.s@svcolleges.edu.in	mailto:drsudhakarreddy.s@svcolleges.edu.in	PROPN
cana-1281	32	1	mailto:thangamgri@yahoo.com	mailto:thangamgri@yahoo.com	PROPN
cana-1281	33	1	mailto:akshatha.n@nmit.ac.in	mailto:akshatha.n@nmit.ac.in	PROPN
cana-1281	33	2	mailto:dhivyaramasamy25@gmail.com	mailto:dhivyaramasamy25@gmail.com	PROPN
cana-1281	33	3	mailto:thulasimanithangamani@gmail.com	mailto:thulasimanithangamani@gmail.com	PROPN
cana-1281	33	4	communications	communication	NOUN
cana-1281	33	5	on	on	ADP
cana-1281	33	6	applied	apply	VERB
cana-1281	33	7	nonlinear	nonlinear	ADJ
cana-1281	33	8	analysis	analysis	NOUN
cana-1281	33	9	issn	issn	NOUN
cana-1281	33	10	:	:	PUNCT
cana-1281	33	11	1074	1074	NUM
cana-1281	33	12	-	-	PUNCT
cana-1281	33	13	133x	133x	NUM
cana-1281	33	14	vol	vol	NOUN
cana-1281	33	15	31	31	NUM
cana-1281	33	16	no	no	NOUN
cana-1281	33	17	.	.	PUNCT
cana-1281	34	1	7s	7	NOUN
cana-1281	34	2	(	(	PUNCT
cana-1281	34	3	2024	2024	NUM
cana-1281	34	4	)	)	PUNCT
cana-1281	34	5	23	23	NUM
cana-1281	34	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	34	7	for	for	ADP
cana-1281	34	8	several	several	ADJ
cana-1281	34	9	sectors	sector	NOUN
cana-1281	34	10	,	,	PUNCT
cana-1281	34	11	including	include	VERB
cana-1281	34	12	healthcare	healthcare	NOUN
cana-1281	34	13	,	,	PUNCT
cana-1281	34	14	banking	banking	NOUN
cana-1281	34	15	,	,	PUNCT
cana-1281	34	16	and	and	CCONJ
cana-1281	34	17	supply	supply	NOUN
cana-1281	34	18	chain	chain	NOUN
cana-1281	34	19	management	management	NOUN
cana-1281	34	20	,	,	PUNCT
cana-1281	34	21	where	where	SCONJ
cana-1281	34	22	accuracy	accuracy	NOUN
cana-1281	34	23	and	and	CCONJ
cana-1281	34	24	data	datum	NOUN
cana-1281	34	25	integrity	integrity	NOUN
cana-1281	34	26	are	be	AUX
cana-1281	34	27	paramount	paramount	ADJ
cana-1281	34	28	[	[	X
cana-1281	34	29	4	4	NUM
cana-1281	34	30	]	]	PUNCT
cana-1281	34	31	.	.	PUNCT
cana-1281	35	1	there	there	PRON
cana-1281	35	2	are	be	VERB
cana-1281	35	3	several	several	ADJ
cana-1281	35	4	challenges	challenge	NOUN
cana-1281	35	5	in	in	ADP
cana-1281	35	6	this	this	DET
cana-1281	35	7	integration	integration	NOUN
cana-1281	35	8	even	even	ADV
cana-1281	35	9	with	with	ADP
cana-1281	35	10	the	the	DET
cana-1281	35	11	advantages	advantage	NOUN
cana-1281	35	12	.	.	PUNCT
cana-1281	36	1	especially	especially	ADV
cana-1281	36	2	in	in	ADP
cana-1281	36	3	relation	relation	NOUN
cana-1281	36	4	to	to	ADP
cana-1281	36	5	transaction	transaction	NOUN
cana-1281	36	6	processing	processing	NOUN
cana-1281	36	7	speed	speed	NOUN
cana-1281	36	8	and	and	CCONJ
cana-1281	36	9	computational	computational	ADJ
cana-1281	36	10	resources	resource	NOUN
cana-1281	36	11	,	,	PUNCT
cana-1281	36	12	blockchain	blockchain	PROPN
cana-1281	36	13	systems	system	NOUN
cana-1281	36	14	are	be	AUX
cana-1281	36	15	occasionally	occasionally	ADV
cana-1281	36	16	criticized	criticize	VERB
cana-1281	36	17	for	for	ADP
cana-1281	36	18	their	their	PRON
cana-1281	36	19	scalability	scalability	NOUN
cana-1281	36	20	and	and	CCONJ
cana-1281	36	21	efficiency	efficiency	NOUN
cana-1281	36	22	flaws	flaw	NOUN
cana-1281	36	23	[	[	X
cana-1281	36	24	5	5	NUM
cana-1281	36	25	]	]	PUNCT
cana-1281	36	26	.	.	PUNCT
cana-1281	37	1	machine	machine	NOUN
cana-1281	37	2	learning	learning	NOUN
cana-1281	37	3	methods	method	NOUN
cana-1281	37	4	including	include	VERB
cana-1281	37	5	svm	svm	PROPN
cana-1281	37	6	require	require	VERB
cana-1281	37	7	large	large	ADJ
cana-1281	37	8	computational	computational	ADJ
cana-1281	37	9	capacity	capacity	NOUN
cana-1281	37	10	for	for	ADP
cana-1281	37	11	training	training	NOUN
cana-1281	37	12	and	and	CCONJ
cana-1281	37	13	validation	validation	NOUN
cana-1281	37	14	,	,	PUNCT
cana-1281	37	15	hence	hence	ADV
cana-1281	37	16	these	these	DET
cana-1281	37	17	challenges	challenge	NOUN
cana-1281	37	18	could	could	AUX
cana-1281	37	19	be	be	AUX
cana-1281	37	20	exacerbated	exacerbate	VERB
cana-1281	37	21	[	[	X
cana-1281	37	22	6	6	NUM
cana-1281	37	23	]	]	PUNCT
cana-1281	37	24	.	.	PUNCT
cana-1281	38	1	moreover	moreover	ADV
cana-1281	38	2	challenging	challenging	ADJ
cana-1281	38	3	is	be	AUX
cana-1281	38	4	maintaining	maintain	VERB
cana-1281	38	5	rapid	rapid	ADJ
cana-1281	38	6	processing	processing	NOUN
cana-1281	38	7	while	while	SCONJ
cana-1281	38	8	ensuring	ensure	VERB
cana-1281	38	9	the	the	DET
cana-1281	38	10	accuracy	accuracy	NOUN
cana-1281	38	11	of	of	ADP
cana-1281	38	12	transaction	transaction	NOUN
cana-1281	38	13	validation	validation	NOUN
cana-1281	39	1	[	[	X
cana-1281	39	2	7	7	NUM
cana-1281	39	3	]	]	PUNCT
cana-1281	39	4	.	.	PUNCT
cana-1281	40	1	combining	combine	VERB
cana-1281	40	2	svm	svm	PROPN
cana-1281	40	3	with	with	ADP
cana-1281	40	4	blockchain	blockchain	PROPN
cana-1281	40	5	systems	system	NOUN
cana-1281	40	6	[	[	X
cana-1281	40	7	8	8	NUM
cana-1281	40	8	]	]	PUNCT
cana-1281	40	9	will	will	AUX
cana-1281	40	10	help	help	VERB
cana-1281	40	11	to	to	PART
cana-1281	40	12	solve	solve	VERB
cana-1281	40	13	these	these	DET
cana-1281	40	14	problems	problem	NOUN
cana-1281	40	15	by	by	ADP
cana-1281	40	16	matching	match	VERB
cana-1281	40	17	the	the	DET
cana-1281	40	18	computational	computational	ADJ
cana-1281	40	19	needs	need	NOUN
cana-1281	40	20	of	of	ADP
cana-1281	40	21	machine	machine	NOUN
cana-1281	40	22	learning	learn	VERB
cana-1281	40	23	with	with	ADP
cana-1281	40	24	the	the	DET
cana-1281	40	25	performance	performance	NOUN
cana-1281	40	26	standards	standard	NOUN
cana-1281	40	27	of	of	ADP
cana-1281	40	28	blockchain	blockchain	PROPN
cana-1281	40	29	systems	system	NOUN
cana-1281	40	30	.	.	PUNCT
cana-1281	41	1	the	the	DET
cana-1281	41	2	work	work	NOUN
cana-1281	41	3	addresses	address	NOUN
cana-1281	41	4	is	be	AUX
cana-1281	41	5	the	the	DET
cana-1281	41	6	need	need	NOUN
cana-1281	41	7	of	of	ADP
cana-1281	41	8	using	use	VERB
cana-1281	41	9	machine	machine	NOUN
cana-1281	41	10	learning	learn	VERB
cana-1281	41	11	techniques	technique	NOUN
cana-1281	41	12	to	to	PART
cana-1281	41	13	raise	raise	VERB
cana-1281	41	14	transaction	transaction	NOUN
cana-1281	41	15	validation	validation	NOUN
cana-1281	41	16	accuracy	accuracy	NOUN
cana-1281	41	17	and	and	CCONJ
cana-1281	41	18	efficiency	efficiency	NOUN
cana-1281	41	19	in	in	ADP
cana-1281	41	20	blockchain	blockchain	PROPN
cana-1281	41	21	systems	system	NOUN
cana-1281	41	22	[	[	X
cana-1281	41	23	9	9	NUM
cana-1281	41	24	]	]	PUNCT
cana-1281	41	25	.	.	PUNCT
cana-1281	42	1	specifically	specifically	ADV
cana-1281	42	2	,	,	PUNCT
cana-1281	42	3	by	by	ADP
cana-1281	42	4	reducing	reduce	VERB
cana-1281	42	5	false	false	ADJ
cana-1281	42	6	positives	positive	NOUN
cana-1281	42	7	and	and	CCONJ
cana-1281	42	8	negatives	negative	NOUN
cana-1281	42	9	and	and	CCONJ
cana-1281	42	10	so	so	ADV
cana-1281	42	11	improving	improve	VERB
cana-1281	42	12	the	the	DET
cana-1281	42	13	accuracy	accuracy	NOUN
cana-1281	42	14	of	of	ADP
cana-1281	42	15	transaction	transaction	NOUN
cana-1281	42	16	classification	classification	NOUN
cana-1281	42	17	,	,	PUNCT
cana-1281	42	18	the	the	DET
cana-1281	42	19	coupling	coupling	NOUN
cana-1281	42	20	of	of	ADP
cana-1281	42	21	svm	svm	PROPN
cana-1281	42	22	with	with	ADP
cana-1281	42	23	blockchain	blockchain	PROPN
cana-1281	42	24	technology	technology	PROPN
cana-1281	42	25	aims	aim	VERB
cana-1281	42	26	to	to	PART
cana-1281	42	27	boost	boost	VERB
cana-1281	42	28	the	the	DET
cana-1281	42	29	general	general	ADJ
cana-1281	42	30	computing	compute	VERB
cana-1281	42	31	efficiency	efficiency	NOUN
cana-1281	42	32	of	of	ADP
cana-1281	42	33	the	the	DET
cana-1281	42	34	system	system	NOUN
cana-1281	42	35	[	[	X
cana-1281	42	36	10	10	NUM
cana-1281	42	37	]	]	PUNCT
cana-1281	42	38	.	.	PUNCT
cana-1281	43	1	in	in	ADP
cana-1281	43	2	many	many	ADJ
cana-1281	43	3	ways	way	NOUN
cana-1281	43	4	,	,	PUNCT
cana-1281	43	5	conventional	conventional	ADJ
cana-1281	43	6	methods	method	NOUN
cana-1281	43	7	occasionally	occasionally	ADV
cana-1281	43	8	fail	fail	VERB
cana-1281	43	9	,	,	PUNCT
cana-1281	43	10	which	which	PRON
cana-1281	43	11	causes	cause	VERB
cana-1281	43	12	inefficiencies	inefficiency	NOUN
cana-1281	43	13	and	and	CCONJ
cana-1281	43	14	maybe	maybe	ADV
cana-1281	43	15	security	security	NOUN
cana-1281	43	16	problems	problem	NOUN
cana-1281	43	17	[	[	X
cana-1281	43	18	10	10	NUM
cana-1281	43	19	]	]	PUNCT
cana-1281	43	20	.	.	PUNCT
cana-1281	44	1	the	the	DET
cana-1281	44	2	objectives	objective	NOUN
cana-1281	44	3	of	of	ADP
cana-1281	44	4	this	this	DET
cana-1281	44	5	study	study	NOUN
cana-1281	44	6	are	be	AUX
cana-1281	44	7	as	as	SCONJ
cana-1281	44	8	follows	follow	VERB
cana-1281	44	9	:	:	PUNCT
cana-1281	44	10	1	1	X
cana-1281	44	11	.	.	X
cana-1281	44	12	to	to	PART
cana-1281	44	13	develop	develop	VERB
cana-1281	44	14	and	and	CCONJ
cana-1281	44	15	evaluate	evaluate	VERB
cana-1281	44	16	an	an	DET
cana-1281	44	17	svm	svm	ADJ
cana-1281	44	18	-	-	PUNCT
cana-1281	44	19	based	base	VERB
cana-1281	44	20	method	method	NOUN
cana-1281	44	21	to	to	PART
cana-1281	44	22	improve	improve	VERB
cana-1281	44	23	blockchain	blockchain	PROPN
cana-1281	44	24	system	system	NOUN
cana-1281	44	25	transaction	transaction	NOUN
cana-1281	44	26	validation	validation	NOUN
cana-1281	44	27	accuracy	accuracy	NOUN
cana-1281	44	28	.	.	PUNCT
cana-1281	45	1	2	2	X
cana-1281	45	2	.	.	X
cana-1281	45	3	by	by	ADP
cana-1281	45	4	means	mean	NOUN
cana-1281	45	5	of	of	ADP
cana-1281	45	6	svm	svm	ADJ
cana-1281	45	7	model	model	NOUN
cana-1281	45	8	optimization	optimization	NOUN
cana-1281	45	9	,	,	PUNCT
cana-1281	45	10	one	one	PRON
cana-1281	45	11	can	can	AUX
cana-1281	45	12	tackle	tackle	VERB
cana-1281	45	13	the	the	DET
cana-1281	45	14	computational	computational	ADJ
cana-1281	45	15	challenges	challenge	NOUN
cana-1281	45	16	so	so	ADV
cana-1281	45	17	guaranteeing	guarantee	VERB
cana-1281	45	18	fast	fast	ADJ
cana-1281	45	19	transaction	transaction	NOUN
cana-1281	45	20	validation	validation	NOUN
cana-1281	45	21	and	and	CCONJ
cana-1281	45	22	efficient	efficient	ADJ
cana-1281	45	23	use	use	NOUN
cana-1281	45	24	of	of	ADP
cana-1281	45	25	resources	resource	NOUN
cana-1281	45	26	.	.	PUNCT
cana-1281	46	1	3	3	X
cana-1281	46	2	.	.	X
cana-1281	46	3	reducing	reduce	VERB
cana-1281	46	4	the	the	DET
cana-1281	46	5	false	false	ADJ
cana-1281	46	6	positive	positive	ADJ
cana-1281	46	7	and	and	CCONJ
cana-1281	46	8	negative	negative	ADJ
cana-1281	46	9	rates	rate	NOUN
cana-1281	46	10	in	in	ADP
cana-1281	46	11	transaction	transaction	NOUN
cana-1281	46	12	classification	classification	NOUN
cana-1281	46	13	can	can	AUX
cana-1281	46	14	help	help	VERB
cana-1281	46	15	to	to	PART
cana-1281	46	16	improve	improve	VERB
cana-1281	46	17	the	the	DET
cana-1281	46	18	general	general	ADJ
cana-1281	46	19	system	system	NOUN
cana-1281	46	20	reliability	reliability	NOUN
cana-1281	46	21	.	.	PUNCT
cana-1281	47	1	this	this	DET
cana-1281	47	2	paper	paper	NOUN
cana-1281	47	3	provides	provide	VERB
cana-1281	47	4	a	a	DET
cana-1281	47	5	novel	novel	ADJ
cana-1281	47	6	approach	approach	NOUN
cana-1281	47	7	integrating	integrate	VERB
cana-1281	47	8	svm	svm	PROPN
cana-1281	47	9	with	with	ADP
cana-1281	47	10	blockchain	blockchain	PROPN
cana-1281	47	11	technology	technology	PROPN
cana-1281	47	12	to	to	PART
cana-1281	47	13	handle	handle	VERB
cana-1281	47	14	the	the	DET
cana-1281	47	15	two	two	NUM
cana-1281	47	16	issues	issue	NOUN
cana-1281	47	17	of	of	ADP
cana-1281	47	18	transaction	transaction	NOUN
cana-1281	47	19	accuracy	accuracy	NOUN
cana-1281	47	20	and	and	CCONJ
cana-1281	47	21	computational	computational	ADJ
cana-1281	47	22	efficiency	efficiency	NOUN
cana-1281	47	23	.	.	PUNCT
cana-1281	48	1	usually	usually	ADV
cana-1281	48	2	depending	depend	VERB
cana-1281	48	3	on	on	ADP
cana-1281	48	4	heuristic	heuristic	ADJ
cana-1281	48	5	or	or	CCONJ
cana-1281	48	6	rulebased	rulebase	VERB
cana-1281	48	7	approaches	approach	NOUN
cana-1281	48	8	,	,	PUNCT
cana-1281	48	9	the	the	DET
cana-1281	48	10	creativity	creativity	NOUN
cana-1281	48	11	is	be	AUX
cana-1281	48	12	in	in	ADP
cana-1281	48	13	exploiting	exploit	VERB
cana-1281	48	14	the	the	DET
cana-1281	48	15	powerful	powerful	ADJ
cana-1281	48	16	classification	classification	NOUN
cana-1281	48	17	powers	power	NOUN
cana-1281	48	18	of	of	ADP
cana-1281	48	19	the	the	DET
cana-1281	48	20	svm	svm	NOUN
cana-1281	48	21	to	to	PART
cana-1281	48	22	improve	improve	VERB
cana-1281	48	23	transaction	transaction	NOUN
cana-1281	48	24	validation	validation	NOUN
cana-1281	48	25	processes	process	NOUN
cana-1281	48	26	inside	inside	ADP
cana-1281	48	27	a	a	DET
cana-1281	48	28	blockchain	blockchain	NOUN
cana-1281	48	29	architecture	architecture	NOUN
cana-1281	48	30	.	.	PUNCT
cana-1281	49	1	combining	combine	VERB
cana-1281	49	2	these	these	DET
cana-1281	49	3	technologies	technology	NOUN
cana-1281	49	4	offers	offer	VERB
cana-1281	49	5	the	the	DET
cana-1281	49	6	study	study	NOUN
cana-1281	49	7	a	a	DET
cana-1281	49	8	new	new	ADJ
cana-1281	49	9	perspective	perspective	NOUN
cana-1281	49	10	on	on	ADP
cana-1281	49	11	how	how	SCONJ
cana-1281	49	12	performance	performance	NOUN
cana-1281	49	13	and	and	CCONJ
cana-1281	49	14	dependability	dependability	NOUN
cana-1281	49	15	of	of	ADP
cana-1281	49	16	blockchain	blockchain	PROPN
cana-1281	49	17	systems	system	NOUN
cana-1281	49	18	could	could	AUX
cana-1281	49	19	be	be	AUX
cana-1281	49	20	raised	raise	VERB
cana-1281	49	21	.	.	PUNCT
cana-1281	50	1	the	the	DET
cana-1281	50	2	key	key	ADJ
cana-1281	50	3	contributions	contribution	NOUN
cana-1281	50	4	of	of	ADP
cana-1281	50	5	this	this	DET
cana-1281	50	6	study	study	NOUN
cana-1281	50	7	are	be	AUX
cana-1281	50	8	:	:	PUNCT
cana-1281	50	9	1	1	X
cana-1281	50	10	.	.	X
cana-1281	50	11	seeking	seek	VERB
cana-1281	50	12	to	to	PART
cana-1281	50	13	raise	raise	VERB
cana-1281	50	14	transaction	transaction	NOUN
cana-1281	50	15	validation	validation	NOUN
cana-1281	50	16	accuracy	accuracy	NOUN
cana-1281	50	17	and	and	CCONJ
cana-1281	50	18	efficiency	efficiency	NOUN
cana-1281	50	19	,	,	PUNCT
cana-1281	50	20	a	a	DET
cana-1281	50	21	novel	novel	ADJ
cana-1281	50	22	method	method	NOUN
cana-1281	50	23	combining	combine	VERB
cana-1281	50	24	svm	svm	NOUN
cana-1281	50	25	with	with	ADP
cana-1281	50	26	blockchain	blockchain	PROPN
cana-1281	50	27	technology	technology	PROPN
cana-1281	50	28	is	be	AUX
cana-1281	50	29	presented	present	VERB
cana-1281	50	30	and	and	CCONJ
cana-1281	50	31	developed	develop	VERB
cana-1281	50	32	.	.	PUNCT
cana-1281	51	1	2	2	X
cana-1281	51	2	.	.	X
cana-1281	51	3	this	this	DET
cana-1281	51	4	work	work	NOUN
cana-1281	51	5	evaluates	evaluate	VERB
cana-1281	51	6	the	the	DET
cana-1281	51	7	suggested	suggested	ADJ
cana-1281	51	8	strategy	strategy	NOUN
cana-1281	51	9	completely	completely	ADV
cana-1281	51	10	in	in	ADP
cana-1281	51	11	terms	term	NOUN
cana-1281	51	12	of	of	ADP
cana-1281	51	13	accuracy	accuracy	NOUN
cana-1281	51	14	,	,	PUNCT
cana-1281	51	15	precision	precision	NOUN
cana-1281	51	16	,	,	PUNCT
cana-1281	51	17	recall	recall	NOUN
cana-1281	51	18	,	,	PUNCT
cana-1281	51	19	f1score	f1score	NOUN
cana-1281	51	20	,	,	PUNCT
cana-1281	51	21	and	and	CCONJ
cana-1281	51	22	computational	computational	ADJ
cana-1281	51	23	economy	economy	NOUN
cana-1281	51	24	by	by	ADP
cana-1281	51	25	way	way	NOUN
cana-1281	51	26	of	of	ADP
cana-1281	51	27	a	a	DET
cana-1281	51	28	comparison	comparison	NOUN
cana-1281	51	29	with	with	ADP
cana-1281	51	30	current	current	ADJ
cana-1281	51	31	methods	method	NOUN
cana-1281	51	32	.	.	PUNCT
cana-1281	52	1	3	3	X
cana-1281	52	2	.	.	X
cana-1281	52	3	the	the	DET
cana-1281	52	4	study	study	NOUN
cana-1281	52	5	is	be	AUX
cana-1281	52	6	relevant	relevant	ADJ
cana-1281	52	7	in	in	ADP
cana-1281	52	8	many	many	ADJ
cana-1281	52	9	disciplines	discipline	NOUN
cana-1281	52	10	where	where	SCONJ
cana-1281	52	11	data	datum	NOUN
cana-1281	52	12	integrity	integrity	NOUN
cana-1281	52	13	and	and	CCONJ
cana-1281	52	14	accuracy	accuracy	NOUN
cana-1281	52	15	are	be	AUX
cana-1281	52	16	basic	basic	ADJ
cana-1281	52	17	since	since	SCONJ
cana-1281	52	18	it	it	PRON
cana-1281	52	19	offers	offer	VERB
cana-1281	52	20	helpful	helpful	ADJ
cana-1281	52	21	insights	insight	NOUN
cana-1281	52	22	and	and	CCONJ
cana-1281	52	23	solutions	solution	NOUN
cana-1281	52	24	for	for	ADP
cana-1281	52	25	improving	improve	VERB
cana-1281	52	26	the	the	DET
cana-1281	52	27	operation	operation	NOUN
cana-1281	52	28	of	of	ADP
cana-1281	52	29	blockchain	blockchain	PROPN
cana-1281	52	30	systems	system	NOUN
cana-1281	52	31	.	.	PUNCT
cana-1281	53	1	communications	communication	NOUN
cana-1281	53	2	on	on	ADP
cana-1281	53	3	applied	apply	VERB
cana-1281	53	4	nonlinear	nonlinear	ADJ
cana-1281	53	5	analysis	analysis	NOUN
cana-1281	53	6	issn	issn	NOUN
cana-1281	53	7	:	:	PUNCT
cana-1281	53	8	1074	1074	NUM
cana-1281	53	9	-	-	PUNCT
cana-1281	53	10	133x	133x	NUM
cana-1281	53	11	vol	vol	NOUN
cana-1281	53	12	31	31	NUM
cana-1281	53	13	no	no	NOUN
cana-1281	53	14	.	.	PUNCT
cana-1281	54	1	7s	7	NOUN
cana-1281	54	2	(	(	PUNCT
cana-1281	54	3	2024	2024	NUM
cana-1281	54	4	)	)	PUNCT
cana-1281	54	5	24	24	NUM
cana-1281	54	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	54	7	2	2	NUM
cana-1281	54	8	.	.	X
cana-1281	54	9	related	relate	VERB
cana-1281	54	10	works	work	NOUN
cana-1281	54	11	recent	recent	ADJ
cana-1281	54	12	research	research	NOUN
cana-1281	54	13	have	have	AUX
cana-1281	54	14	closely	closely	ADV
cana-1281	54	15	examined	examine	VERB
cana-1281	54	16	the	the	DET
cana-1281	54	17	interaction	interaction	NOUN
cana-1281	54	18	of	of	ADP
cana-1281	54	19	blockchain	blockchain	PROPN
cana-1281	54	20	technology	technology	PROPN
cana-1281	54	21	with	with	ADP
cana-1281	54	22	numerous	numerous	ADJ
cana-1281	54	23	innovative	innovative	ADJ
cana-1281	54	24	technologies	technology	NOUN
cana-1281	54	25	,	,	PUNCT
cana-1281	54	26	including	include	VERB
cana-1281	54	27	machine	machine	NOUN
cana-1281	54	28	learning	learning	NOUN
cana-1281	54	29	,	,	PUNCT
cana-1281	54	30	including	include	VERB
cana-1281	54	31	several	several	ADJ
cana-1281	54	32	sophisticated	sophisticated	ADJ
cana-1281	54	33	methodologies	methodology	NOUN
cana-1281	54	34	.	.	PUNCT
cana-1281	55	1	by	by	ADP
cana-1281	55	2	exploring	explore	VERB
cana-1281	55	3	numerous	numerous	ADJ
cana-1281	55	4	aspects	aspect	NOUN
cana-1281	55	5	of	of	ADP
cana-1281	55	6	blockchain	blockchain	PROPN
cana-1281	55	7	technology	technology	PROPN
cana-1281	55	8	's	's	PART
cana-1281	55	9	implementation	implementation	NOUN
cana-1281	55	10	on	on	ADP
cana-1281	55	11	various	various	ADJ
cana-1281	55	12	systems	system	NOUN
cana-1281	55	13	,	,	PUNCT
cana-1281	55	14	these	these	DET
cana-1281	55	15	studies	study	NOUN
cana-1281	55	16	show	show	VERB
cana-1281	55	17	both	both	CCONJ
cana-1281	55	18	the	the	DET
cana-1281	55	19	probable	probable	ADJ
cana-1281	55	20	benefits	benefit	NOUN
cana-1281	55	21	and	and	CCONJ
cana-1281	55	22	challenges	challenge	NOUN
cana-1281	55	23	related	relate	VERB
cana-1281	55	24	with	with	ADP
cana-1281	55	25	it	it	PRON
cana-1281	55	26	.	.	PUNCT
cana-1281	56	1	in	in	ADP
cana-1281	56	2	the	the	DET
cana-1281	56	3	paper	paper	NOUN
cana-1281	56	4	[	[	X
cana-1281	56	5	12	12	NUM
cana-1281	56	6	]	]	PUNCT
cana-1281	56	7	investigates	investigate	VERB
cana-1281	56	8	blockchain	blockchain	PROPN
cana-1281	56	9	acceptance	acceptance	NOUN
cana-1281	56	10	rate	rate	NOUN
cana-1281	56	11	(	(	PUNCT
cana-1281	56	12	bar	bar	NOUN
cana-1281	56	13	)	)	PUNCT
cana-1281	56	14	in	in	ADP
cana-1281	56	15	connection	connection	NOUN
cana-1281	56	16	to	to	ADP
cana-1281	56	17	iran	iran	PROPN
cana-1281	56	18	's	's	PART
cana-1281	56	19	flexible	flexible	ADJ
cana-1281	56	20	supply	supply	NOUN
cana-1281	56	21	chain	chain	NOUN
cana-1281	56	22	for	for	ADP
cana-1281	56	23	home	home	NOUN
cana-1281	56	24	appliances	appliance	NOUN
cana-1281	56	25	.	.	PUNCT
cana-1281	57	1	running	run	VERB
cana-1281	57	2	bar	bar	NOUN
cana-1281	57	3	behavior	behavior	NOUN
cana-1281	57	4	from	from	ADP
cana-1281	57	5	2020	2020	NUM
cana-1281	57	6	to	to	ADP
cana-1281	57	7	2030	2030	NUM
cana-1281	57	8	,	,	PUNCT
cana-1281	57	9	the	the	DET
cana-1281	57	10	paper	paper	NOUN
cana-1281	57	11	models	model	NOUN
cana-1281	57	12	the	the	DET
cana-1281	57	13	non	non	ADJ
cana-1281	57	14	-	-	ADJ
cana-1281	57	15	linear	linear	ADJ
cana-1281	57	16	interactions	interaction	NOUN
cana-1281	57	17	between	between	ADP
cana-1281	57	18	supply	supply	NOUN
cana-1281	57	19	chain	chain	NOUN
cana-1281	57	20	variables	variable	NOUN
cana-1281	57	21	using	use	VERB
cana-1281	57	22	system	system	NOUN
cana-1281	57	23	dynamics	dynamic	NOUN
cana-1281	57	24	(	(	PUNCT
cana-1281	57	25	sd	sd	NOUN
cana-1281	57	26	)	)	PUNCT
cana-1281	57	27	.	.	PUNCT
cana-1281	58	1	the	the	DET
cana-1281	58	2	work	work	NOUN
cana-1281	58	3	relies	rely	VERB
cana-1281	58	4	on	on	ADP
cana-1281	58	5	sensitivity	sensitivity	NOUN
cana-1281	58	6	analysis	analysis	NOUN
cana-1281	58	7	and	and	CCONJ
cana-1281	58	8	policy	policy	NOUN
cana-1281	58	9	development	development	NOUN
cana-1281	58	10	;	;	PUNCT
cana-1281	58	11	results	result	NOUN
cana-1281	58	12	indicate	indicate	VERB
cana-1281	58	13	that	that	SCONJ
cana-1281	58	14	,	,	PUNCT
cana-1281	58	15	under	under	ADP
cana-1281	58	16	optimal	optimal	ADJ
cana-1281	58	17	conditions	condition	NOUN
cana-1281	58	18	with	with	ADP
cana-1281	58	19	medium	medium	ADJ
cana-1281	58	20	covid-19	covid-19	PROPN
cana-1281	58	21	influence	influence	NOUN
cana-1281	58	22	the	the	DET
cana-1281	58	23	bar	bar	NOUN
cana-1281	58	24	might	might	AUX
cana-1281	58	25	approach	approach	VERB
cana-1281	58	26	0.8	0.8	NUM
cana-1281	58	27	.	.	PUNCT
cana-1281	59	1	the	the	DET
cana-1281	59	2	paper	paper	NOUN
cana-1281	59	3	then	then	ADV
cana-1281	59	4	evaluates	evaluate	VERB
cana-1281	59	5	bar	bar	NOUN
cana-1281	59	6	behavior	behavior	NOUN
cana-1281	59	7	prediction	prediction	NOUN
cana-1281	59	8	performance	performance	NOUN
cana-1281	59	9	of	of	ADP
cana-1281	59	10	multi	multi	ADJ
cana-1281	59	11	-	-	ADJ
cana-1281	59	12	layer	layer	ADJ
cana-1281	59	13	perceptron	perceptron	NOUN
cana-1281	59	14	(	(	PUNCT
cana-1281	59	15	mlp	mlp	PROPN
cana-1281	59	16	)	)	PUNCT
cana-1281	59	17	and	and	CCONJ
cana-1281	59	18	vector	vector	NOUN
cana-1281	59	19	regression	regression	NOUN
cana-1281	59	20	(	(	PUNCT
cana-1281	59	21	svr	svr	NOUN
cana-1281	59	22	)	)	PUNCT
cana-1281	59	23	models	model	NOUN
cana-1281	59	24	.	.	PUNCT
cana-1281	60	1	the	the	DET
cana-1281	60	2	results	result	NOUN
cana-1281	60	3	suggest	suggest	VERB
cana-1281	60	4	that	that	SCONJ
cana-1281	60	5	the	the	DET
cana-1281	60	6	sd	sd	NOUN
cana-1281	60	7	-	-	PUNCT
cana-1281	60	8	mlp	mlp	NOUN
cana-1281	60	9	approach	approach	NOUN
cana-1281	60	10	surpasses	surpass	VERB
cana-1281	60	11	sd	sd	NOUN
cana-1281	60	12	-	-	PUNCT
cana-1281	60	13	svr	svr	NOUN
cana-1281	60	14	in	in	ADP
cana-1281	60	15	accuracy	accuracy	NOUN
cana-1281	60	16	,	,	PUNCT
cana-1281	60	17	thereby	thereby	ADV
cana-1281	60	18	providing	provide	VERB
cana-1281	60	19	interesting	interesting	ADJ
cana-1281	60	20	study	study	NOUN
cana-1281	60	21	on	on	ADP
cana-1281	60	22	how	how	SCONJ
cana-1281	60	23	to	to	PART
cana-1281	60	24	increase	increase	VERB
cana-1281	60	25	supply	supply	NOUN
cana-1281	60	26	chain	chain	NOUN
cana-1281	60	27	resilience	resilience	NOUN
cana-1281	60	28	by	by	ADP
cana-1281	60	29	means	mean	NOUN
cana-1281	60	30	of	of	ADP
cana-1281	60	31	better	well	ADJ
cana-1281	60	32	policy	policy	NOUN
cana-1281	60	33	design	design	NOUN
cana-1281	60	34	and	and	CCONJ
cana-1281	60	35	machine	machine	NOUN
cana-1281	60	36	learning	learn	VERB
cana-1281	60	37	integration	integration	NOUN
cana-1281	60	38	.	.	PUNCT
cana-1281	61	1	in	in	ADP
cana-1281	61	2	[	[	X
cana-1281	61	3	13	13	NUM
cana-1281	61	4	]	]	PUNCT
cana-1281	61	5	highlights	highlight	NOUN
cana-1281	61	6	with	with	ADP
cana-1281	61	7	blockchain	blockchain	PROPN
cana-1281	61	8	and	and	CCONJ
cana-1281	61	9	machine	machine	NOUN
cana-1281	61	10	learning	learn	VERB
cana-1281	61	11	integration	integration	NOUN
cana-1281	61	12	the	the	DET
cana-1281	61	13	security	security	NOUN
cana-1281	61	14	and	and	CCONJ
cana-1281	61	15	performance	performance	NOUN
cana-1281	61	16	of	of	ADP
cana-1281	61	17	cyber	cyber	NOUN
cana-1281	61	18	-	-	PUNCT
cana-1281	61	19	physical	physical	ADJ
cana-1281	61	20	systems	system	NOUN
cana-1281	61	21	(	(	PUNCT
cana-1281	61	22	cps	cps	PROPN
cana-1281	61	23	)	)	PUNCT
cana-1281	61	24	.	.	PUNCT
cana-1281	62	1	the	the	DET
cana-1281	62	2	study	study	NOUN
cana-1281	62	3	discusses	discuss	VERB
cana-1281	62	4	current	current	ADJ
cana-1281	62	5	advancements	advancement	NOUN
cana-1281	62	6	in	in	ADP
cana-1281	62	7	blockchain	blockchain	PROPN
cana-1281	62	8	application	application	NOUN
cana-1281	62	9	to	to	PART
cana-1281	62	10	enhance	enhance	VERB
cana-1281	62	11	cps	cps	PROPN
cana-1281	62	12	performance	performance	NOUN
cana-1281	62	13	resolving	resolve	VERB
cana-1281	62	14	security	security	NOUN
cana-1281	62	15	concerns	concern	NOUN
cana-1281	62	16	.	.	PUNCT
cana-1281	63	1	especially	especially	ADV
cana-1281	63	2	in	in	ADP
cana-1281	63	3	support	support	NOUN
cana-1281	63	4	of	of	ADP
cana-1281	63	5	cps	cps	PROPN
cana-1281	63	6	security	security	NOUN
cana-1281	63	7	,	,	PUNCT
cana-1281	63	8	the	the	DET
cana-1281	63	9	complementarity	complementarity	NOUN
cana-1281	63	10	of	of	ADP
cana-1281	63	11	blockchain	blockchain	PROPN
cana-1281	63	12	and	and	CCONJ
cana-1281	63	13	machine	machine	NOUN
cana-1281	63	14	learning	learning	NOUN
cana-1281	63	15	techniques	technique	NOUN
cana-1281	63	16	is	be	AUX
cana-1281	63	17	emphasized	emphasize	VERB
cana-1281	63	18	.	.	PUNCT
cana-1281	64	1	moreover	moreover	ADV
cana-1281	64	2	looked	look	VERB
cana-1281	64	3	at	at	ADP
cana-1281	64	4	in	in	ADP
cana-1281	64	5	the	the	DET
cana-1281	64	6	paper	paper	NOUN
cana-1281	64	7	is	be	AUX
cana-1281	64	8	how	how	SCONJ
cana-1281	64	9	physically	physically	ADV
cana-1281	64	10	unclonable	unclonable	ADJ
cana-1281	64	11	functions	function	NOUN
cana-1281	64	12	(	(	PUNCT
cana-1281	64	13	puf	puf	NOUN
cana-1281	64	14	)	)	PUNCT
cana-1281	64	15	linked	link	VERB
cana-1281	64	16	with	with	ADP
cana-1281	64	17	blockchain	blockchain	PROPN
cana-1281	64	18	could	could	AUX
cana-1281	64	19	enhance	enhance	VERB
cana-1281	64	20	physical	physical	ADJ
cana-1281	64	21	device	device	NOUN
cana-1281	64	22	authentication	authentication	NOUN
cana-1281	64	23	,	,	PUNCT
cana-1281	64	24	so	so	ADV
cana-1281	64	25	enhancing	enhance	VERB
cana-1281	64	26	cps	cps	PROPN
cana-1281	64	27	's	's	PART
cana-1281	64	28	overall	overall	ADJ
cana-1281	64	29	security	security	NOUN
cana-1281	64	30	.	.	PUNCT
cana-1281	65	1	this	this	DET
cana-1281	65	2	work	work	NOUN
cana-1281	65	3	underlines	underline	VERB
cana-1281	65	4	the	the	DET
cana-1281	65	5	possibilities	possibility	NOUN
cana-1281	65	6	of	of	ADP
cana-1281	65	7	combining	combine	VERB
cana-1281	65	8	different	different	ADJ
cana-1281	65	9	technologies	technology	NOUN
cana-1281	65	10	to	to	PART
cana-1281	65	11	generate	generate	VERB
cana-1281	65	12	more	more	ADV
cana-1281	65	13	safe	safe	ADJ
cana-1281	65	14	and	and	CCONJ
cana-1281	65	15	efficient	efficient	ADJ
cana-1281	65	16	cps	cp	NOUN
cana-1281	65	17	settings	setting	NOUN
cana-1281	65	18	.	.	PUNCT
cana-1281	66	1	in	in	ADP
cana-1281	66	2	the	the	DET
cana-1281	66	3	article	article	NOUN
cana-1281	66	4	[	[	X
cana-1281	66	5	14	14	NUM
cana-1281	66	6	]	]	PUNCT
cana-1281	66	7	offers	offer	VERB
cana-1281	66	8	an	an	DET
cana-1281	66	9	approach	approach	NOUN
cana-1281	66	10	based	base	VERB
cana-1281	66	11	on	on	ADP
cana-1281	66	12	system	system	NOUN
cana-1281	66	13	-	-	PUNCT
cana-1281	66	14	analysis	analysis	NOUN
cana-1281	66	15	to	to	PART
cana-1281	66	16	assess	assess	VERB
cana-1281	66	17	sustainable	sustainable	ADJ
cana-1281	66	18	supply	supply	NOUN
cana-1281	66	19	chain	chain	NOUN
cana-1281	66	20	(	(	PUNCT
cana-1281	66	21	ssc	ssc	NOUN
cana-1281	66	22	)	)	PUNCT
cana-1281	66	23	performance	performance	NOUN
cana-1281	66	24	in	in	ADP
cana-1281	66	25	reaction	reaction	NOUN
cana-1281	66	26	to	to	PART
cana-1281	66	27	blockchain	blockchain	VERB
cana-1281	66	28	technology	technology	PROPN
cana-1281	66	29	(	(	PUNCT
cana-1281	66	30	bt	bt	NOUN
cana-1281	66	31	)	)	PUNCT
cana-1281	66	32	acceptance	acceptance	NOUN
cana-1281	66	33	.	.	PUNCT
cana-1281	67	1	this	this	DET
cana-1281	67	2	work	work	NOUN
cana-1281	67	3	models	model	VERB
cana-1281	67	4	the	the	DET
cana-1281	67	5	causal	causal	ADJ
cana-1281	67	6	links	link	NOUN
cana-1281	67	7	between	between	ADP
cana-1281	67	8	ssc	ssc	NOUN
cana-1281	67	9	performance	performance	NOUN
cana-1281	67	10	targets	target	NOUN
cana-1281	67	11	and	and	CCONJ
cana-1281	67	12	bt	bt	VERB
cana-1281	67	13	adoption	adoption	NOUN
cana-1281	67	14	enhancers	enhancer	NOUN
cana-1281	67	15	—	—	PUNCT
cana-1281	67	16	such	such	ADJ
cana-1281	67	17	environmental	environmental	ADJ
cana-1281	67	18	sustainability	sustainability	NOUN
cana-1281	67	19	and	and	CCONJ
cana-1281	67	20	social	social	ADJ
cana-1281	67	21	responsibility	responsibility	NOUN
cana-1281	67	22	—	—	PUNCT
cana-1281	67	23	using	use	VERB
cana-1281	67	24	fuzzy	fuzzy	ADJ
cana-1281	67	25	cognitive	cognitive	ADJ
cana-1281	67	26	mappings	mapping	NOUN
cana-1281	67	27	(	(	PUNCT
cana-1281	67	28	fcm	fcm	PROPN
cana-1281	67	29	)	)	PUNCT
cana-1281	67	30	.	.	PUNCT
cana-1281	68	1	the	the	DET
cana-1281	68	2	hybrid	hybrid	NOUN
cana-1281	68	3	fcm	fcm	X
cana-1281	68	4	learning	learn	VERB
cana-1281	68	5	system	system	NOUN
cana-1281	68	6	turns	turn	VERB
cana-1281	68	7	out	out	ADP
cana-1281	68	8	to	to	PART
cana-1281	68	9	be	be	AUX
cana-1281	68	10	the	the	DET
cana-1281	68	11	most	most	ADV
cana-1281	68	12	effective	effective	ADJ
cana-1281	68	13	enabler	enabler	NOUN
cana-1281	68	14	for	for	ADP
cana-1281	68	15	improving	improve	VERB
cana-1281	68	16	ssc	ssc	NOUN
cana-1281	68	17	performance	performance	NOUN
cana-1281	68	18	.	.	PUNCT
cana-1281	69	1	according	accord	VERB
cana-1281	69	2	to	to	ADP
cana-1281	69	3	the	the	DET
cana-1281	69	4	findings	finding	NOUN
cana-1281	69	5	,	,	PUNCT
cana-1281	69	6	bt	bt	PROPN
cana-1281	69	7	significantly	significantly	ADV
cana-1281	69	8	enhances	enhance	VERB
cana-1281	69	9	several	several	ADJ
cana-1281	69	10	ssc	ssc	NOUN
cana-1281	69	11	performance	performance	NOUN
cana-1281	69	12	factors	factor	NOUN
cana-1281	69	13	,	,	PUNCT
cana-1281	69	14	including	include	VERB
cana-1281	69	15	traceability	traceability	NOUN
cana-1281	69	16	,	,	PUNCT
cana-1281	69	17	smart	smart	ADJ
cana-1281	69	18	contracts	contract	NOUN
cana-1281	69	19	,	,	PUNCT
cana-1281	69	20	and	and	CCONJ
cana-1281	69	21	environmental	environmental	ADJ
cana-1281	69	22	sustainability	sustainability	NOUN
cana-1281	69	23	.	.	PUNCT
cana-1281	70	1	this	this	DET
cana-1281	70	2	approach	approach	NOUN
cana-1281	70	3	provides	provide	VERB
cana-1281	70	4	sensible	sensible	ADJ
cana-1281	70	5	suggestions	suggestion	NOUN
cana-1281	70	6	for	for	ADP
cana-1281	70	7	blockchain	blockchain	NOUN
cana-1281	70	8	-	-	PUNCT
cana-1281	70	9	based	base	VERB
cana-1281	70	10	performance	performance	NOUN
cana-1281	70	11	and	and	CCONJ
cana-1281	70	12	sustainability	sustainability	NOUN
cana-1281	70	13	development	development	NOUN
cana-1281	70	14	as	as	ADV
cana-1281	70	15	well	well	ADV
cana-1281	70	16	as	as	ADP
cana-1281	70	17	highlights	highlight	NOUN
cana-1281	70	18	how	how	SCONJ
cana-1281	70	19	effectively	effectively	ADV
cana-1281	70	20	bt	bt	VERB
cana-1281	70	21	performs	perform	VERB
cana-1281	70	22	for	for	ADP
cana-1281	70	23	ssc	ssc	NOUN
cana-1281	70	24	networks	network	NOUN
cana-1281	70	25	.	.	PUNCT
cana-1281	71	1	in	in	ADP
cana-1281	71	2	the	the	DET
cana-1281	71	3	paper	paper	NOUN
cana-1281	71	4	[	[	X
cana-1281	71	5	15	15	NUM
cana-1281	71	6	]	]	PUNCT
cana-1281	71	7	offers	offer	VERB
cana-1281	71	8	an	an	DET
cana-1281	71	9	analytical	analytical	ADJ
cana-1281	71	10	strategy	strategy	NOUN
cana-1281	71	11	for	for	ADP
cana-1281	71	12	smart	smart	ADJ
cana-1281	71	13	credential	credential	ADJ
cana-1281	71	14	evaluation	evaluation	NOUN
cana-1281	71	15	for	for	ADP
cana-1281	71	16	educational	educational	ADJ
cana-1281	71	17	certification	certification	NOUN
cana-1281	71	18	based	base	VERB
cana-1281	71	19	on	on	ADP
cana-1281	71	20	a	a	DET
cana-1281	71	21	blockchain	blockchain	PROPN
cana-1281	71	22	hyperledger	hyperledger	PROPN
cana-1281	71	23	seentooth	seentooth	PROPN
cana-1281	71	24	design	design	PROPN
cana-1281	71	25	.	.	PUNCT
cana-1281	72	1	using	use	VERB
cana-1281	72	2	sha-256	sha-256	PROPN
cana-1281	72	3	hash	hash	NOUN
cana-1281	72	4	encryption	encryption	NOUN
cana-1281	72	5	,	,	PUNCT
cana-1281	72	6	the	the	DET
cana-1281	72	7	idea	idea	NOUN
cana-1281	72	8	leverages	leverage	VERB
cana-1281	72	9	blockchain	blockchain	PROPN
cana-1281	72	10	to	to	PART
cana-1281	72	11	handle	handle	VERB
cana-1281	72	12	and	and	CCONJ
cana-1281	72	13	confirm	confirm	VERB
cana-1281	72	14	academic	academic	ADJ
cana-1281	72	15	credentials	credential	NOUN
cana-1281	72	16	,	,	PUNCT
cana-1281	72	17	hence	hence	ADV
cana-1281	72	18	providing	provide	VERB
cana-1281	72	19	tamper	tamper	ADJ
cana-1281	72	20	evidence	evidence	NOUN
cana-1281	72	21	.	.	PUNCT
cana-1281	73	1	the	the	DET
cana-1281	73	2	article	article	NOUN
cana-1281	73	3	generates	generate	VERB
cana-1281	73	4	smart	smart	ADJ
cana-1281	73	5	contracts	contract	NOUN
cana-1281	73	6	—	—	PUNCT
cana-1281	73	7	chain	chain	NOUN
cana-1281	73	8	codes	code	NOUN
cana-1281	73	9	—	—	PUNCT
cana-1281	73	10	to	to	PART
cana-1281	73	11	automatically	automatically	ADV
cana-1281	73	12	validate	validate	VERB
cana-1281	73	13	credentials	credential	NOUN
cana-1281	73	14	and	and	CCONJ
cana-1281	73	15	register	register	NOUN
cana-1281	73	16	applications	application	NOUN
cana-1281	73	17	,	,	PUNCT
cana-1281	73	18	hence	hence	ADV
cana-1281	73	19	simplifying	simplify	VERB
cana-1281	73	20	credential	credential	ADJ
cana-1281	73	21	management	management	NOUN
cana-1281	73	22	.	.	PUNCT
cana-1281	74	1	strong	strong	ADJ
cana-1281	74	2	performance	performance	NOUN
cana-1281	74	3	of	of	ADP
cana-1281	74	4	the	the	DET
cana-1281	74	5	model	model	NOUN
cana-1281	74	6	in	in	ADP
cana-1281	74	7	maintaining	maintain	VERB
cana-1281	74	8	and	and	CCONJ
cana-1281	74	9	safeguarding	safeguard	VERB
cana-1281	74	10	credentials	credential	NOUN
cana-1281	74	11	shown	show	VERB
cana-1281	74	12	by	by	ADP
cana-1281	74	13	extensive	extensive	ADJ
cana-1281	74	14	simulations	simulation	NOUN
cana-1281	74	15	of	of	ADP
cana-1281	74	16	the	the	DET
cana-1281	74	17	educational	educational	ADJ
cana-1281	74	18	benchmark	benchmark	NOUN
cana-1281	74	19	dataset	dataset	NOUN
cana-1281	74	20	,	,	PUNCT
cana-1281	74	21	so	so	ADV
cana-1281	74	22	emphasizing	emphasize	VERB
cana-1281	74	23	its	its	PRON
cana-1281	74	24	effectiveness	effectiveness	NOUN
cana-1281	74	25	in	in	ADP
cana-1281	74	26	increasing	increase	VERB
cana-1281	74	27	credibility	credibility	NOUN
cana-1281	74	28	and	and	CCONJ
cana-1281	74	29	stopping	stop	VERB
cana-1281	74	30	manipulation	manipulation	NOUN
cana-1281	74	31	in	in	ADP
cana-1281	74	32	educational	educational	ADJ
cana-1281	74	33	surroundings	surrounding	NOUN
cana-1281	74	34	.	.	PUNCT
cana-1281	75	1	combining	combine	VERB
cana-1281	75	2	classic	classic	ADJ
cana-1281	75	3	and	and	CCONJ
cana-1281	75	4	non	non	ADJ
cana-1281	75	5	-	-	ADJ
cana-1281	75	6	traditional	traditional	ADJ
cana-1281	75	7	models	model	NOUN
cana-1281	75	8	,	,	PUNCT
cana-1281	75	9	[	[	X
cana-1281	75	10	16	16	NUM
cana-1281	75	11	]	]	X
cana-1281	75	12	looks	look	VERB
cana-1281	75	13	at	at	ADP
cana-1281	75	14	the	the	DET
cana-1281	75	15	asymmetric	asymmetric	ADJ
cana-1281	75	16	bitcoin	bitcoin	NOUN
cana-1281	75	17	prices	price	NOUN
cana-1281	75	18	significantly	significantly	ADV
cana-1281	75	19	influence	influence	VERB
cana-1281	75	20	energy	energy	NOUN
cana-1281	75	21	use	use	NOUN
cana-1281	75	22	since	since	SCONJ
cana-1281	75	23	xgboost	xgboost	ADV
cana-1281	75	24	outperforms	outperform	NOUN
cana-1281	75	25	svm	svm	ADJ
cana-1281	75	26	in	in	ADP
cana-1281	75	27	forecasting	forecasting	NOUN
cana-1281	75	28	accuracy	accuracy	NOUN
cana-1281	75	29	.	.	PUNCT
cana-1281	76	1	the	the	DET
cana-1281	76	2	communications	communication	NOUN
cana-1281	76	3	on	on	ADP
cana-1281	76	4	applied	apply	VERB
cana-1281	76	5	nonlinear	nonlinear	ADJ
cana-1281	76	6	analysis	analysis	NOUN
cana-1281	76	7	issn	issn	NOUN
cana-1281	76	8	:	:	PUNCT
cana-1281	76	9	1074	1074	NUM
cana-1281	76	10	-	-	PUNCT
cana-1281	76	11	133x	133x	NUM
cana-1281	76	12	vol	vol	NOUN
cana-1281	76	13	31	31	NUM
cana-1281	76	14	no	no	NOUN
cana-1281	76	15	.	.	PUNCT
cana-1281	77	1	7s	7	NOUN
cana-1281	77	2	(	(	PUNCT
cana-1281	77	3	2024	2024	NUM
cana-1281	77	4	)	)	PUNCT
cana-1281	77	5	25	25	NUM
cana-1281	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	77	7	study	study	NOUN
cana-1281	77	8	reveals	reveal	VERB
cana-1281	77	9	that	that	SCONJ
cana-1281	77	10	changes	change	NOUN
cana-1281	77	11	in	in	ADP
cana-1281	77	12	bitcoin	bitcoin	ADJ
cana-1281	77	13	price	price	NOUN
cana-1281	77	14	affect	affect	VERB
cana-1281	77	15	both	both	DET
cana-1281	77	16	shortand	shortand	NOUN
cana-1281	77	17	long	long	ADJ
cana-1281	77	18	-	-	PUNCT
cana-1281	77	19	term	term	NOUN
cana-1281	77	20	energy	energy	NOUN
cana-1281	77	21	consumption	consumption	NOUN
cana-1281	77	22	;	;	PUNCT
cana-1281	77	23	so	so	CCONJ
cana-1281	77	24	,	,	PUNCT
cana-1281	77	25	it	it	PRON
cana-1281	77	26	provides	provide	VERB
cana-1281	77	27	insight	insight	NOUN
cana-1281	77	28	of	of	ADP
cana-1281	77	29	the	the	DET
cana-1281	77	30	need	need	NOUN
cana-1281	77	31	of	of	ADP
cana-1281	77	32	sustainable	sustainable	ADJ
cana-1281	77	33	mining	mining	NOUN
cana-1281	77	34	techniques	technique	NOUN
cana-1281	77	35	and	and	CCONJ
cana-1281	77	36	policies	policy	NOUN
cana-1281	77	37	to	to	PART
cana-1281	77	38	reduce	reduce	VERB
cana-1281	77	39	the	the	DET
cana-1281	77	40	negative	negative	ADJ
cana-1281	77	41	consequences	consequence	NOUN
cana-1281	77	42	of	of	ADP
cana-1281	77	43	price	price	NOUN
cana-1281	77	44	variations	variation	NOUN
cana-1281	77	45	.	.	PUNCT
cana-1281	78	1	table	table	NOUN
cana-1281	78	2	1	1	NUM
cana-1281	78	3	:	:	PUNCT
cana-1281	78	4	summary	summary	NOUN
cana-1281	78	5	of	of	ADP
cana-1281	78	6	related	related	ADJ
cana-1281	78	7	works	work	NOUN
cana-1281	78	8	method	method	NOUN
cana-1281	78	9	algorithm	algorithm	NOUN
cana-1281	78	10	methodology	methodology	NOUN
cana-1281	78	11	outcomes	outcome	NOUN
cana-1281	78	12	[	[	X
cana-1281	78	13	12	12	NUM
cana-1281	78	14	]	]	SYM
cana-1281	78	15	sd	sd	NOUN
cana-1281	78	16	,	,	PUNCT
cana-1281	78	17	mlp	mlp	PROPN
cana-1281	78	18	,	,	PUNCT
cana-1281	78	19	svr	svr	PROPN
cana-1281	78	20	system	system	NOUN
cana-1281	78	21	dynamics	dynamic	NOUN
cana-1281	78	22	,	,	PUNCT
cana-1281	78	23	simulation	simulation	NOUN
cana-1281	78	24	,	,	PUNCT
cana-1281	78	25	sensitivity	sensitivity	NOUN
cana-1281	78	26	analysis	analysis	NOUN
cana-1281	78	27	achieved	achieve	VERB
cana-1281	78	28	bar	bar	NOUN
cana-1281	78	29	of	of	ADP
cana-1281	78	30	up	up	ADP
cana-1281	78	31	to	to	PART
cana-1281	78	32	0.8	0.8	NUM
cana-1281	78	33	by	by	ADP
cana-1281	78	34	2030	2030	NUM
cana-1281	78	35	;	;	PUNCT
cana-1281	78	36	sd	sd	X
cana-1281	78	37	-	-	PUNCT
cana-1281	78	38	mlp	mlp	NOUN
cana-1281	78	39	outperforms	outperform	NOUN
cana-1281	78	40	sd	sd	NOUN
cana-1281	78	41	-	-	PUNCT
cana-1281	78	42	svr	svr	NOUN
cana-1281	78	43	in	in	ADP
cana-1281	78	44	predicting	predict	VERB
cana-1281	78	45	bar	bar	NOUN
cana-1281	78	46	behavior	behavior	NOUN
cana-1281	78	47	.	.	PUNCT
cana-1281	79	1	[	[	X
cana-1281	79	2	13	13	NUM
cana-1281	79	3	]	]	PUNCT
cana-1281	79	4	blockchain	blockchain	NOUN
cana-1281	79	5	,	,	PUNCT
cana-1281	79	6	machine	machine	NOUN
cana-1281	79	7	learning	learning	PROPN
cana-1281	79	8	,	,	PUNCT
cana-1281	79	9	puf	puf	PROPN
cana-1281	79	10	review	review	PROPN
cana-1281	79	11	,	,	PUNCT
cana-1281	79	12	integration	integration	NOUN
cana-1281	79	13	of	of	ADP
cana-1281	79	14	blockchain	blockchain	PROPN
cana-1281	79	15	with	with	ADP
cana-1281	79	16	machine	machine	NOUN
cana-1281	79	17	learning	learning	NOUN
cana-1281	79	18	,	,	PUNCT
cana-1281	79	19	security	security	NOUN
cana-1281	79	20	analysis	analysis	NOUN
cana-1281	79	21	enhanced	enhance	VERB
cana-1281	79	22	cps	cp	NOUN
cana-1281	79	23	performance	performance	NOUN
cana-1281	79	24	and	and	CCONJ
cana-1281	79	25	security	security	NOUN
cana-1281	79	26	;	;	PUNCT
cana-1281	79	27	improved	improve	VERB
cana-1281	79	28	device	device	NOUN
cana-1281	79	29	authentication	authentication	NOUN
cana-1281	79	30	with	with	ADP
cana-1281	79	31	puf	puf	PROPN
cana-1281	79	32	.	.	PUNCT
cana-1281	80	1	[	[	X
cana-1281	80	2	14	14	NUM
cana-1281	80	3	]	]	PUNCT
cana-1281	80	4	fcm	fcm	X
cana-1281	80	5	,	,	PUNCT
cana-1281	80	6	hybrid	hybrid	X
cana-1281	80	7	fcm	fcm	X
cana-1281	80	8	learning	learn	VERB
cana-1281	80	9	algorithm	algorithm	NOUN
cana-1281	80	10	system	system	NOUN
cana-1281	80	11	analysis	analysis	NOUN
cana-1281	80	12	,	,	PUNCT
cana-1281	80	13	modeling	modeling	NOUN
cana-1281	80	14	,	,	PUNCT
cana-1281	80	15	impact	impact	NOUN
cana-1281	80	16	assessment	assessment	NOUN
cana-1281	80	17	significant	significant	ADJ
cana-1281	80	18	improvement	improvement	NOUN
cana-1281	80	19	in	in	ADP
cana-1281	80	20	ssc	ssc	NOUN
cana-1281	80	21	performance	performance	NOUN
cana-1281	80	22	dimensions	dimension	NOUN
cana-1281	80	23	;	;	PUNCT
cana-1281	80	24	effective	effective	ADJ
cana-1281	80	25	enablers	enabler	NOUN
cana-1281	80	26	identified	identify	VERB
cana-1281	80	27	for	for	ADP
cana-1281	80	28	bt	bt	NOUN
cana-1281	80	29	adoption	adoption	NOUN
cana-1281	80	30	.	.	PUNCT
cana-1281	81	1	[	[	X
cana-1281	81	2	15	15	NUM
cana-1281	81	3	]	]	X
cana-1281	81	4	hyperledger	hyperledger	NOUN
cana-1281	81	5	sawtooth	sawtooth	NOUN
cana-1281	81	6	,	,	PUNCT
cana-1281	81	7	sha256	sha256	PROPN
cana-1281	81	8	blockchain	blockchain	PROPN
cana-1281	81	9	,	,	PUNCT
cana-1281	81	10	smart	smart	ADJ
cana-1281	81	11	contracts	contract	NOUN
cana-1281	81	12	,	,	PUNCT
cana-1281	81	13	credential	credential	ADJ
cana-1281	81	14	management	management	NOUN
cana-1281	81	15	robust	robust	ADJ
cana-1281	81	16	credential	credential	ADJ
cana-1281	81	17	management	management	NOUN
cana-1281	81	18	;	;	PUNCT
cana-1281	81	19	effective	effective	ADJ
cana-1281	81	20	tamper	tamper	ADV
cana-1281	81	21	-	-	PUNCT
cana-1281	81	22	proofing	proofing	NOUN
cana-1281	81	23	of	of	ADP
cana-1281	81	24	educational	educational	ADJ
cana-1281	81	25	credentials	credential	NOUN
cana-1281	81	26	.	.	PUNCT
cana-1281	82	1	[	[	X
cana-1281	82	2	16	16	NUM
cana-1281	82	3	]	]	PUNCT
cana-1281	82	4	qnardl	qnardl	NOUN
cana-1281	82	5	,	,	PUNCT
cana-1281	82	6	svm	svm	PROPN
cana-1281	82	7	,	,	PUNCT
cana-1281	82	8	xgboost	xgboost	ADV
cana-1281	82	9	asymmetric	asymmetric	ADJ
cana-1281	82	10	impact	impact	NOUN
cana-1281	82	11	analysis	analysis	NOUN
cana-1281	82	12	,	,	PUNCT
cana-1281	82	13	forecasting	forecast	VERB
cana-1281	82	14	xgboost	xgboost	ADP
cana-1281	82	15	outperforms	outperform	NOUN
cana-1281	82	16	svm	svm	ADJ
cana-1281	82	17	in	in	ADP
cana-1281	82	18	energy	energy	NOUN
cana-1281	82	19	consumption	consumption	NOUN
cana-1281	82	20	forecasting	forecasting	NOUN
cana-1281	82	21	;	;	PUNCT
cana-1281	82	22	insights	insight	NOUN
cana-1281	82	23	into	into	ADP
cana-1281	82	24	bitcoin	bitcoin	ADJ
cana-1281	82	25	price	price	NOUN
cana-1281	82	26	effects	effect	NOUN
cana-1281	82	27	on	on	ADP
cana-1281	82	28	energy	energy	NOUN
cana-1281	82	29	use	use	NOUN
cana-1281	82	30	.	.	PUNCT
cana-1281	83	1	while	while	SCONJ
cana-1281	83	2	present	present	ADJ
cana-1281	83	3	studies	study	NOUN
cana-1281	83	4	unequivocally	unequivocally	ADV
cana-1281	83	5	indicate	indicate	VERB
cana-1281	83	6	how	how	SCONJ
cana-1281	83	7	blockchain	blockchain	PROPN
cana-1281	83	8	works	work	VERB
cana-1281	83	9	with	with	ADP
cana-1281	83	10	other	other	ADJ
cana-1281	83	11	technologies	technology	NOUN
cana-1281	83	12	,	,	PUNCT
cana-1281	83	13	nothing	nothing	PRON
cana-1281	83	14	is	be	AUX
cana-1281	83	15	known	know	VERB
cana-1281	83	16	about	about	ADP
cana-1281	83	17	how	how	SCONJ
cana-1281	83	18	mixing	mix	VERB
cana-1281	83	19	blockchain	blockchain	NOUN
cana-1281	83	20	with	with	ADP
cana-1281	83	21	advanced	advanced	ADJ
cana-1281	83	22	machine	machine	NOUN
cana-1281	83	23	learning	learning	NOUN
cana-1281	83	24	models	model	NOUN
cana-1281	83	25	,	,	PUNCT
cana-1281	83	26	such	such	ADJ
cana-1281	83	27	as	as	ADP
cana-1281	83	28	support	support	NOUN
cana-1281	83	29	vector	vector	NOUN
cana-1281	83	30	machines	machine	NOUN
cana-1281	83	31	,	,	PUNCT
cana-1281	83	32	especially	especially	ADV
cana-1281	83	33	solves	solve	VERB
cana-1281	83	34	real	real	ADJ
cana-1281	83	35	-	-	PUNCT
cana-1281	83	36	time	time	NOUN
cana-1281	83	37	data	datum	NOUN
cana-1281	83	38	security	security	NOUN
cana-1281	83	39	and	and	CCONJ
cana-1281	83	40	computational	computational	ADJ
cana-1281	83	41	efficiency	efficiency	NOUN
cana-1281	83	42	challenges	challenge	NOUN
cana-1281	83	43	.	.	PUNCT
cana-1281	84	1	more	more	ADJ
cana-1281	84	2	research	research	NOUN
cana-1281	84	3	is	be	AUX
cana-1281	84	4	needed	need	VERB
cana-1281	84	5	in	in	ADP
cana-1281	84	6	refining	refining	NOUN
cana-1281	84	7	integration	integration	NOUN
cana-1281	84	8	techniques	technique	NOUN
cana-1281	84	9	,	,	PUNCT
cana-1281	84	10	raising	raise	VERB
cana-1281	84	11	forecasting	forecasting	NOUN
cana-1281	84	12	accuracy	accuracy	NOUN
cana-1281	84	13	,	,	PUNCT
cana-1281	84	14	and	and	CCONJ
cana-1281	84	15	optimizing	optimize	VERB
cana-1281	84	16	processing	processing	NOUN
cana-1281	84	17	performance	performance	NOUN
cana-1281	84	18	in	in	ADP
cana-1281	84	19	practical	practical	ADJ
cana-1281	84	20	blockchain	blockchain	NOUN
cana-1281	84	21	applications	application	NOUN
cana-1281	84	22	.	.	PUNCT
cana-1281	85	1	3	3	X
cana-1281	85	2	.	.	NUM
cana-1281	85	3	proposed	propose	VERB
cana-1281	85	4	method	method	NOUN
cana-1281	85	5	the	the	DET
cana-1281	85	6	proposed	propose	VERB
cana-1281	85	7	method	method	NOUN
cana-1281	85	8	combines	combine	VERB
cana-1281	85	9	svm	svm	NOUN
cana-1281	85	10	with	with	ADP
cana-1281	85	11	blockchain	blockchain	PROPN
cana-1281	85	12	technology	technology	PROPN
cana-1281	85	13	to	to	PART
cana-1281	85	14	enhance	enhance	VERB
cana-1281	85	15	healthcare	healthcare	PROPN
cana-1281	85	16	data	data	PROPN
cana-1281	85	17	storage	storage	NOUN
cana-1281	85	18	systems	system	NOUN
cana-1281	85	19	.	.	PUNCT
cana-1281	86	1	the	the	DET
cana-1281	86	2	approach	approach	NOUN
cana-1281	86	3	comprises	comprise	VERB
cana-1281	86	4	three	three	NUM
cana-1281	86	5	phases	phase	NOUN
cana-1281	86	6	:	:	PUNCT
cana-1281	86	7	figure	figure	NOUN
cana-1281	86	8	1	1	NUM
cana-1281	86	9	:	:	PUNCT
cana-1281	86	10	proposed	propose	VERB
cana-1281	86	11	svm	svm	PROPN
cana-1281	86	12	with	with	ADP
cana-1281	86	13	blockchain	blockchain	PROPN
cana-1281	86	14	technology	technology	PROPN
cana-1281	86	15	communications	communication	NOUN
cana-1281	86	16	on	on	ADP
cana-1281	86	17	applied	apply	VERB
cana-1281	86	18	nonlinear	nonlinear	ADJ
cana-1281	86	19	analysis	analysis	NOUN
cana-1281	86	20	issn	issn	NOUN
cana-1281	86	21	:	:	PUNCT
cana-1281	86	22	1074	1074	NUM
cana-1281	86	23	-	-	PUNCT
cana-1281	86	24	133x	133x	NUM
cana-1281	86	25	vol	vol	NOUN
cana-1281	86	26	31	31	NUM
cana-1281	86	27	no	no	NOUN
cana-1281	86	28	.	.	PUNCT
cana-1281	87	1	7s	7	NOUN
cana-1281	87	2	(	(	PUNCT
cana-1281	87	3	2024	2024	NUM
cana-1281	87	4	)	)	PUNCT
cana-1281	87	5	26	26	NUM
cana-1281	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	87	7	pseudocode	pseudocode	PROPN
cana-1281	87	8	:	:	PUNCT
cana-1281	87	9	initialize	initialize	NOUN
cana-1281	87	10	blockchain	blockchain	NOUN
cana-1281	87	11	system	system	NOUN
cana-1281	87	12	initialize	initialize	VERB
cana-1281	87	13	svm	svm	ADJ
cana-1281	87	14	model	model	NOUN
cana-1281	87	15	function	function	NOUN
cana-1281	87	16	preprocessdata(data	preprocessdata(data	PROPN
cana-1281	87	17	):	):	PUNCT
cana-1281	87	18	handle	handle	VERB
cana-1281	87	19	missing	miss	VERB
cana-1281	87	20	values	value	NOUN
cana-1281	87	21	normalize	normalize	VERB
cana-1281	87	22	features	feature	NOUN
cana-1281	87	23	encode	encode	ADJ
cana-1281	87	24	categorical	categorical	ADJ
cana-1281	87	25	variables	variable	NOUN
cana-1281	87	26	return	return	VERB
cana-1281	87	27	preprocessed_data	preprocessed_data	PROPN
cana-1281	87	28	function	function	NOUN
cana-1281	87	29	trainsvm(preprocessed_data	trainsvm(preprocessed_data	NOUN
cana-1281	87	30	):	):	PUNCT
cana-1281	87	31	split	split	VERB
cana-1281	87	32	data	datum	NOUN
cana-1281	87	33	into	into	ADP
cana-1281	87	34	training	training	NOUN
cana-1281	87	35	and	and	CCONJ
cana-1281	87	36	testing	testing	NOUN
cana-1281	87	37	sets	set	NOUN
cana-1281	87	38	train	train	NOUN
cana-1281	87	39	svm	svm	ADJ
cana-1281	87	40	model	model	NOUN
cana-1281	87	41	on	on	ADP
cana-1281	87	42	training	training	NOUN
cana-1281	87	43	set	set	VERB
cana-1281	87	44	validate	validate	ADJ
cana-1281	87	45	model	model	NOUN
cana-1281	87	46	on	on	ADP
cana-1281	87	47	testing	testing	NOUN
cana-1281	87	48	set	set	VERB
cana-1281	87	49	return	return	NOUN
cana-1281	87	50	trained_svm_model	trained_svm_model	X
cana-1281	87	51	function	function	NOUN
cana-1281	87	52	integratewithblockchain(trained_svm_model	integratewithblockchain(trained_svm_model	NOUN
cana-1281	87	53	,	,	PUNCT
cana-1281	87	54	blockchain_system	blockchain_system	NOUN
cana-1281	87	55	):	):	PUNCT
cana-1281	87	56	for	for	ADP
cana-1281	87	57	each	each	DET
cana-1281	87	58	transaction_request	transaction_requ	ADJ
cana-1281	87	59	in	in	ADP
cana-1281	87	60	blockchain_system	blockchain_system	NOUN
cana-1281	87	61	:	:	PUNCT
cana-1281	87	62	access	access	NOUN
cana-1281	87	63	prediction	prediction	NOUN
cana-1281	87	64	=	=	PUNCT
cana-1281	87	65	trained_svm_model.predict(transaction_request.data	trained_svm_model.predict(transaction_request.data	NUM
cana-1281	87	66	)	)	PUNCT
cana-1281	87	67	if	if	SCONJ
cana-1281	87	68	access	access	NOUN
cana-1281	87	69	prediction	prediction	NOUN
cana-1281	87	70	=	=	NOUN
cana-1281	87	71	=	=	X
cana-1281	87	72	'	'	PUNCT
cana-1281	87	73	authorized	authorize	VERB
cana-1281	87	74	'	'	PUNCT
cana-1281	87	75	:	:	PUNCT
cana-1281	87	76	record	record	NOUN
cana-1281	87	77	transaction	transaction	NOUN
cana-1281	87	78	in	in	ADP
cana-1281	87	79	blockchain	blockchain	PROPN
cana-1281	87	80	else	else	ADV
cana-1281	87	81	:	:	PUNCT
cana-1281	87	82	deny	deny	VERB
cana-1281	87	83	transaction	transaction	NOUN
cana-1281	87	84	function	function	NOUN
cana-1281	87	85	optimizeperformance	optimizeperformance	NOUN
cana-1281	87	86	(	(	PUNCT
cana-1281	87	87	):	):	PUNCT
cana-1281	87	88	monitor	monitor	NOUN
cana-1281	87	89	system	system	NOUN
cana-1281	87	90	performance	performance	NOUN
cana-1281	87	91	update	update	NOUN
cana-1281	87	92	svm	svm	ADJ
cana-1281	87	93	model	model	NOUN
cana-1281	87	94	as	as	ADP
cana-1281	87	95	necessary	necessary	ADJ
cana-1281	87	96	preprocessed_data	preprocessed_data	NOUN
cana-1281	87	97	=	=	SYM
cana-1281	87	98	preprocessdata(healthcare_data	preprocessdata(healthcare_data	PROPN
cana-1281	87	99	)	)	PUNCT
cana-1281	87	100	trained_svm_model	trained_svm_model	NOUN
cana-1281	87	101	=	=	SYM
cana-1281	87	102	trainsvm(preprocessed_data	trainsvm(preprocessed_data	PROPN
cana-1281	87	103	)	)	PUNCT
cana-1281	87	104	integratewithblockchain(trained_svm_model	integratewithblockchain(trained_svm_model	NOUN
cana-1281	87	105	,	,	PUNCT
cana-1281	87	106	blockchain_system	blockchain_system	NOUN
cana-1281	87	107	)	)	PUNCT
cana-1281	87	108	optimizeperformance	optimizeperformance	NOUN
cana-1281	87	109	(	(	PUNCT
cana-1281	87	110	)	)	PUNCT
cana-1281	87	111	3.1	3.1	NUM
cana-1281	87	112	.	.	PUNCT
cana-1281	87	113	data	datum	NOUN
cana-1281	87	114	collection	collection	NOUN
cana-1281	87	115	:	:	PUNCT
cana-1281	87	116	in	in	ADP
cana-1281	87	117	healthcare	healthcare	PROPN
cana-1281	87	118	data	datum	NOUN
cana-1281	87	119	storage	storage	NOUN
cana-1281	87	120	,	,	PUNCT
cana-1281	87	121	data	datum	NOUN
cana-1281	87	122	collecting	collecting	NOUN
cana-1281	87	123	is	be	AUX
cana-1281	87	124	the	the	DET
cana-1281	87	125	compiling	compiling	NOUN
cana-1281	87	126	of	of	ADP
cana-1281	87	127	different	different	ADJ
cana-1281	87	128	types	type	NOUN
cana-1281	87	129	of	of	ADP
cana-1281	87	130	medical	medical	ADJ
cana-1281	87	131	records	record	NOUN
cana-1281	87	132	and	and	CCONJ
cana-1281	87	133	patient	patient	ADJ
cana-1281	87	134	information	information	NOUN
cana-1281	87	135	from	from	ADP
cana-1281	87	136	several	several	ADJ
cana-1281	87	137	sources	source	NOUN
cana-1281	87	138	.	.	PUNCT
cana-1281	88	1	here	here	ADV
cana-1281	88	2	could	could	AUX
cana-1281	88	3	fit	fit	VERB
cana-1281	88	4	electronic	electronic	ADJ
cana-1281	88	5	health	health	NOUN
cana-1281	88	6	records	record	NOUN
cana-1281	88	7	(	(	PUNCT
cana-1281	88	8	ehrs	ehrs	INTJ
cana-1281	88	9	)	)	PUNCT
cana-1281	88	10	,	,	PUNCT
cana-1281	88	11	medical	medical	ADJ
cana-1281	88	12	imaging	imaging	NOUN
cana-1281	88	13	data	data	PROPN
cana-1281	88	14	,	,	PUNCT
cana-1281	88	15	lab	lab	NOUN
cana-1281	88	16	results	result	NOUN
cana-1281	88	17	,	,	PUNCT
cana-1281	88	18	patient	patient	NOUN
cana-1281	88	19	-	-	PUNCT
cana-1281	88	20	generated	generate	VERB
cana-1281	88	21	data	datum	NOUN
cana-1281	88	22	from	from	ADP
cana-1281	88	23	wearable	wearable	ADJ
cana-1281	88	24	devices	device	NOUN
cana-1281	88	25	.	.	PUNCT
cana-1281	89	1	every	every	DET
cana-1281	89	2	dataset	dataset	NOUN
cana-1281	89	3	presents	present	VERB
cana-1281	89	4	plenty	plenty	NOUN
cana-1281	89	5	of	of	ADP
cana-1281	89	6	data	datum	NOUN
cana-1281	89	7	that	that	PRON
cana-1281	89	8	needs	need	VERB
cana-1281	89	9	to	to	PART
cana-1281	89	10	be	be	AUX
cana-1281	89	11	carefully	carefully	ADV
cana-1281	89	12	organized	organize	VERB
cana-1281	89	13	for	for	ADP
cana-1281	89	14	further	further	ADJ
cana-1281	89	15	investigation	investigation	NOUN
cana-1281	89	16	.	.	PUNCT
cana-1281	90	1	table	table	NOUN
cana-1281	90	2	2	2	NUM
cana-1281	90	3	:	:	PUNCT
cana-1281	90	4	data	data	NOUN
cana-1281	90	5	collection	collection	NOUN
cana-1281	90	6	patient_id	patient_id	PROPN
cana-1281	90	7	age	age	NOUN
cana-1281	90	8	gender	gender	NOUN
cana-1281	90	9	diagnosis	diagnosis	NOUN
cana-1281	90	10	treatment	treatment	NOUN
cana-1281	90	11	test_score	test_score	NOUN
cana-1281	90	12	date	date	NOUN
cana-1281	90	13	001	001	NUM
cana-1281	90	14	55	55	NUM
cana-1281	90	15	male	male	NOUN
cana-1281	90	16	diabetes	diabetes	NOUN
cana-1281	90	17	metformin	metformin	VERB
cana-1281	90	18	7.2	7.2	NUM
cana-1281	90	19	2024	2024	NUM
cana-1281	90	20	-	-	SYM
cana-1281	90	21	08	08	NUM
cana-1281	90	22	-	-	SYM
cana-1281	90	23	01	01	NUM
cana-1281	90	24	002	002	NUM
cana-1281	90	25	48	48	NUM
cana-1281	90	26	female	female	ADJ
cana-1281	90	27	hypertension	hypertension	NOUN
cana-1281	90	28	lisinopril	lisinopril	NOUN
cana-1281	90	29	6.5	6.5	NUM
cana-1281	90	30	2024	2024	NUM
cana-1281	90	31	-	-	SYM
cana-1281	90	32	08	08	NUM
cana-1281	90	33	-	-	SYM
cana-1281	90	34	03	03	NUM
cana-1281	90	35	003	003	NUM
cana-1281	90	36	60	60	NUM
cana-1281	90	37	male	male	ADJ
cana-1281	90	38	cardiovascular	cardiovascular	ADJ
cana-1281	90	39	aspirin	aspirin	NOUN
cana-1281	90	40	8.0	8.0	NUM
cana-1281	90	41	2024	2024	NUM
cana-1281	90	42	-	-	SYM
cana-1281	90	43	08	08	NUM
cana-1281	90	44	-	-	SYM
cana-1281	90	45	05	05	NUM
cana-1281	90	46	004	004	NUM
cana-1281	90	47	40	40	NUM
cana-1281	90	48	female	female	ADJ
cana-1281	90	49	asthma	asthma	NOUN
cana-1281	90	50	albuterol	albuterol	VERB
cana-1281	90	51	5.8	5.8	NUM
cana-1281	90	52	2024	2024	NUM
cana-1281	90	53	-	-	SYM
cana-1281	90	54	08	08	NUM
cana-1281	90	55	-	-	PUNCT
cana-1281	90	56	07	07	NUM
cana-1281	90	57	communications	communication	NOUN
cana-1281	90	58	on	on	ADP
cana-1281	90	59	applied	apply	VERB
cana-1281	90	60	nonlinear	nonlinear	ADJ
cana-1281	90	61	analysis	analysis	NOUN
cana-1281	90	62	issn	issn	NOUN
cana-1281	90	63	:	:	PUNCT
cana-1281	90	64	1074	1074	NUM
cana-1281	90	65	-	-	PUNCT
cana-1281	90	66	133x	133x	NUM
cana-1281	90	67	vol	vol	NOUN
cana-1281	90	68	31	31	NUM
cana-1281	90	69	no	no	NOUN
cana-1281	90	70	.	.	PUNCT
cana-1281	91	1	7s	7	NOUN
cana-1281	91	2	(	(	PUNCT
cana-1281	91	3	2024	2024	NUM
cana-1281	91	4	)	)	PUNCT
cana-1281	91	5	27	27	NUM
cana-1281	91	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	91	7	3.2	3.2	NUM
cana-1281	91	8	.	.	PUNCT
cana-1281	92	1	data	datum	NOUN
cana-1281	92	2	preprocessing	preprocessing	NOUN
cana-1281	92	3	:	:	PUNCT
cana-1281	92	4	it	it	PRON
cana-1281	92	5	is	be	AUX
cana-1281	92	6	really	really	ADV
cana-1281	92	7	crucial	crucial	ADJ
cana-1281	92	8	to	to	PART
cana-1281	92	9	ensure	ensure	VERB
cana-1281	92	10	the	the	DET
cana-1281	92	11	data	datum	NOUN
cana-1281	92	12	is	be	AUX
cana-1281	92	13	fit	fit	ADJ
cana-1281	92	14	for	for	ADP
cana-1281	92	15	analysis	analysis	NOUN
cana-1281	92	16	and	and	CCONJ
cana-1281	92	17	model	model	NOUN
cana-1281	92	18	training	training	NOUN
cana-1281	92	19	since	since	SCONJ
cana-1281	92	20	preprocessing	preprocesse	VERB
cana-1281	92	21	determines	determine	NOUN
cana-1281	92	22	this	this	PRON
cana-1281	92	23	.	.	PUNCT
cana-1281	93	1	mostly	mostly	ADV
cana-1281	93	2	,	,	PUNCT
cana-1281	93	3	preprocessing	preprocesse	VERB
cana-1281	93	4	seeks	seek	VERB
cana-1281	93	5	to	to	PART
cana-1281	93	6	clean	clean	VERB
cana-1281	93	7	the	the	DET
cana-1281	93	8	data	datum	NOUN
cana-1281	93	9	,	,	PUNCT
cana-1281	93	10	handle	handle	VERB
cana-1281	93	11	missing	miss	VERB
cana-1281	93	12	values	value	NOUN
cana-1281	93	13	,	,	PUNCT
cana-1281	93	14	standardize	standardize	VERB
cana-1281	93	15	features	feature	NOUN
cana-1281	93	16	,	,	PUNCT
cana-1281	93	17	and	and	CCONJ
cana-1281	93	18	encode	encode	ADJ
cana-1281	93	19	categorical	categorical	ADJ
cana-1281	93	20	variables	variable	NOUN
cana-1281	93	21	.	.	PUNCT
cana-1281	94	1	1	1	X
cana-1281	94	2	.	.	X
cana-1281	94	3	handling	handle	VERB
cana-1281	94	4	missing	miss	VERB
cana-1281	94	5	values	value	NOUN
cana-1281	94	6	:	:	PUNCT
cana-1281	94	7	missing	miss	VERB
cana-1281	94	8	values	value	NOUN
cana-1281	94	9	in	in	ADP
cana-1281	94	10	the	the	DET
cana-1281	94	11	dataset	dataset	NOUN
cana-1281	94	12	are	be	AUX
cana-1281	94	13	handled	handle	VERB
cana-1281	94	14	by	by	ADP
cana-1281	94	15	simpler	simple	ADJ
cana-1281	94	16	techniques	technique	NOUN
cana-1281	94	17	include	include	VERB
cana-1281	94	18	k	k	ADJ
cana-1281	94	19	-	-	PUNCT
cana-1281	94	20	nearest	near	ADJ
cana-1281	94	21	neighbors	neighbor	NOUN
cana-1281	94	22	(	(	PUNCT
cana-1281	94	23	knn	knn	PROPN
cana-1281	94	24	)	)	PUNCT
cana-1281	94	25	or	or	CCONJ
cana-1281	94	26	more	more	ADV
cana-1281	94	27	sophisticated	sophisticated	ADJ
cana-1281	94	28	mean	mean	ADJ
cana-1281	94	29	,	,	PUNCT
cana-1281	94	30	median	median	ADJ
cana-1281	94	31	,	,	PUNCT
cana-1281	94	32	or	or	CCONJ
cana-1281	94	33	mode	mode	NOUN
cana-1281	94	34	values	value	NOUN
cana-1281	94	35	imputation	imputation	NOUN
cana-1281	94	36	.	.	PUNCT
cana-1281	95	1	2	2	X
cana-1281	95	2	.	.	X
cana-1281	95	3	normalization	normalization	NOUN
cana-1281	95	4	:	:	PUNCT
cana-1281	95	5	usually	usually	ADV
cana-1281	95	6	spanning	span	VERB
cana-1281	95	7	[	[	X
cana-1281	95	8	0	0	NUM
cana-1281	95	9	,	,	PUNCT
cana-1281	95	10	1	1	NUM
cana-1281	95	11	]	]	PUNCT
cana-1281	95	12	or	or	CCONJ
cana-1281	95	13	[	[	X
cana-1281	95	14	-1	-1	X
cana-1281	95	15	,	,	PUNCT
cana-1281	95	16	1	1	NUM
cana-1281	95	17	]	]	PUNCT
cana-1281	95	18	,	,	PUNCT
cana-1281	95	19	feature	feature	NOUN
cana-1281	95	20	normalisation	normalisation	NOUN
cana-1281	95	21	scales	scale	VERB
cana-1281	95	22	the	the	DET
cana-1281	95	23	data	datum	NOUN
cana-1281	95	24	inside	inside	ADP
cana-1281	95	25	a	a	DET
cana-1281	95	26	given	give	VERB
cana-1281	95	27	range	range	NOUN
cana-1281	95	28	.	.	PUNCT
cana-1281	96	1	this	this	PRON
cana-1281	96	2	is	be	AUX
cana-1281	96	3	absolutely	absolutely	ADV
cana-1281	96	4	vital	vital	ADJ
cana-1281	96	5	for	for	ADP
cana-1281	96	6	sensitive	sensitive	ADJ
cana-1281	96	7	to	to	ADP
cana-1281	96	8	the	the	DET
cana-1281	96	9	magnitude	magnitude	NOUN
cana-1281	96	10	of	of	ADP
cana-1281	96	11	the	the	DET
cana-1281	96	12	input	input	NOUN
cana-1281	96	13	feature	feature	NOUN
cana-1281	96	14	techniques	technique	NOUN
cana-1281	96	15	including	include	VERB
cana-1281	96	16	svm	svm	PROPN
cana-1281	96	17	.	.	PROPN
cana-1281	96	18	standardizing	standardize	VERB
cana-1281	96	19	test	test	NOUN
cana-1281	96	20	results	result	NOUN
cana-1281	96	21	could	could	AUX
cana-1281	96	22	help	help	VERB
cana-1281	96	23	to	to	PART
cana-1281	96	24	ensure	ensure	VERB
cana-1281	96	25	constant	constant	ADJ
cana-1281	96	26	scaling	scaling	NOUN
cana-1281	96	27	,	,	PUNCT
cana-1281	96	28	for	for	ADP
cana-1281	96	29	instance	instance	NOUN
cana-1281	96	30	.	.	PUNCT
cana-1281	97	1	3	3	X
cana-1281	97	2	.	.	X
cana-1281	97	3	encoding	encode	VERB
cana-1281	97	4	categorical	categorical	ADJ
cana-1281	97	5	variables	variable	NOUN
cana-1281	97	6	:	:	PUNCT
cana-1281	97	7	the	the	DET
cana-1281	97	8	svm	svm	ADJ
cana-1281	97	9	technique	technique	NOUN
cana-1281	97	10	calls	call	VERB
cana-1281	97	11	for	for	ADP
cana-1281	97	12	numerical	numerical	ADJ
cana-1281	97	13	forms	form	NOUN
cana-1281	97	14	for	for	ADP
cana-1281	97	15	variables	variable	NOUN
cana-1281	97	16	such	such	ADJ
cana-1281	97	17	"	"	PUNCT
cana-1281	97	18	diagnosis	diagnosis	NOUN
cana-1281	97	19	"	"	PUNCT
cana-1281	97	20	and	and	CCONJ
cana-1281	97	21	"	"	PUNCT
cana-1281	97	22	female	female	NOUN
cana-1281	97	23	"	"	PUNCT
cana-1281	97	24	.	.	PUNCT
cana-1281	98	1	here	here	ADV
cana-1281	98	2	one	one	PRON
cana-1281	98	3	might	might	AUX
cana-1281	98	4	use	use	VERB
cana-1281	98	5	two	two	NUM
cana-1281	98	6	techniques	technique	NOUN
cana-1281	98	7	:	:	PUNCT
cana-1281	98	8	one	one	NUM
cana-1281	98	9	-	-	PUNCT
cana-1281	98	10	hot	hot	ADJ
cana-1281	98	11	encoding	encoding	NOUN
cana-1281	98	12	or	or	CCONJ
cana-1281	98	13	label	label	NOUN
cana-1281	98	14	encoding	encoding	NOUN
cana-1281	98	15	.	.	PUNCT
cana-1281	99	1	3.3	3.3	NUM
cana-1281	99	2	.	.	PUNCT
cana-1281	100	1	svm	svm	VERB
cana-1281	100	2	training	train	VERB
cana-1281	100	3	strong	strong	ADJ
cana-1281	100	4	class	class	NOUN
cana-1281	100	5	of	of	ADP
cana-1281	100	6	supervised	supervised	ADJ
cana-1281	100	7	learning	learning	NOUN
cana-1281	100	8	algorithms	algorithm	NOUN
cana-1281	100	9	used	use	VERB
cana-1281	100	10	in	in	ADP
cana-1281	100	11	classification	classification	NOUN
cana-1281	100	12	and	and	CCONJ
cana-1281	100	13	regression	regression	NOUN
cana-1281	100	14	applications	application	NOUN
cana-1281	100	15	are	be	AUX
cana-1281	100	16	support	support	NOUN
cana-1281	100	17	vector	vector	NOUN
cana-1281	100	18	machines	machine	NOUN
cana-1281	100	19	(	(	PUNCT
cana-1281	100	20	svms	svms	NOUN
cana-1281	100	21	)	)	PUNCT
cana-1281	100	22	.	.	PUNCT
cana-1281	101	1	the	the	DET
cana-1281	101	2	training	training	NOUN
cana-1281	101	3	procedure	procedure	NOUN
cana-1281	101	4	consists	consist	VERB
cana-1281	101	5	in	in	ADP
cana-1281	101	6	several	several	ADJ
cana-1281	101	7	crucial	crucial	ADJ
cana-1281	101	8	phases	phase	NOUN
cana-1281	101	9	to	to	PART
cana-1281	101	10	generate	generate	VERB
cana-1281	101	11	a	a	DET
cana-1281	101	12	model	model	NOUN
cana-1281	101	13	able	able	ADJ
cana-1281	101	14	to	to	PART
cana-1281	101	15	effectively	effectively	ADV
cana-1281	101	16	group	group	PROPN
cana-1281	101	17	data	datum	NOUN
cana-1281	101	18	points	point	NOUN
cana-1281	101	19	into	into	ADP
cana-1281	101	20	several	several	ADJ
cana-1281	101	21	categories	category	NOUN
cana-1281	101	22	or	or	CCONJ
cana-1281	101	23	forecasts	forecast	VERB
cana-1281	101	24	continuous	continuous	ADJ
cana-1281	101	25	results	result	NOUN
cana-1281	101	26	.	.	PUNCT
cana-1281	102	1	first	first	ADV
cana-1281	102	2	in	in	ADP
cana-1281	102	3	teaching	teach	VERB
cana-1281	102	4	an	an	DET
cana-1281	102	5	svm	svm	ADJ
cana-1281	102	6	model	model	NOUN
cana-1281	102	7	is	be	AUX
cana-1281	102	8	getting	get	VERB
cana-1281	102	9	ready	ready	ADJ
cana-1281	102	10	the	the	DET
cana-1281	102	11	training	training	NOUN
cana-1281	102	12	data	datum	NOUN
cana-1281	102	13	.	.	PUNCT
cana-1281	103	1	two	two	NUM
cana-1281	103	2	sections	section	NOUN
cana-1281	103	3	—	—	PUNCT
cana-1281	103	4	a	a	DET
cana-1281	103	5	training	training	NOUN
cana-1281	103	6	set	set	NOUN
cana-1281	103	7	and	and	CCONJ
cana-1281	103	8	a	a	DET
cana-1281	103	9	testing	testing	NOUN
cana-1281	103	10	set	set	NOUN
cana-1281	103	11	—	—	PUNCT
cana-1281	103	12	make	make	VERB
cana-1281	103	13	out	out	ADP
cana-1281	103	14	the	the	DET
cana-1281	103	15	preprocessed	preprocesse	VERB
cana-1281	103	16	data	datum	NOUN
cana-1281	103	17	.	.	PUNCT
cana-1281	104	1	the	the	DET
cana-1281	104	2	testing	testing	NOUN
cana-1281	104	3	set	set	NOUN
cana-1281	104	4	is	be	AUX
cana-1281	104	5	set	set	VERB
cana-1281	104	6	aside	aside	ADV
cana-1281	104	7	to	to	PART
cana-1281	104	8	evaluate	evaluate	VERB
cana-1281	104	9	performance	performance	NOUN
cana-1281	104	10	;	;	PUNCT
cana-1281	104	11	the	the	DET
cana-1281	104	12	model	model	NOUN
cana-1281	104	13	is	be	AUX
cana-1281	104	14	developed	develop	VERB
cana-1281	104	15	from	from	ADP
cana-1281	104	16	the	the	DET
cana-1281	104	17	training	training	NOUN
cana-1281	104	18	set	set	NOUN
cana-1281	104	19	.	.	PUNCT
cana-1281	105	1	the	the	DET
cana-1281	105	2	training	training	NOUN
cana-1281	105	3	set	set	VERB
cana-1281	105	4	within	within	ADP
cana-1281	105	5	the	the	DET
cana-1281	105	6	framework	framework	NOUN
cana-1281	105	7	of	of	ADP
cana-1281	105	8	our	our	PRON
cana-1281	105	9	healthcare	healthcare	NOUN
cana-1281	105	10	data	datum	NOUN
cana-1281	105	11	would	would	AUX
cana-1281	105	12	consist	consist	VERB
cana-1281	105	13	of	of	ADP
cana-1281	105	14	a	a	DET
cana-1281	105	15	subset	subset	NOUN
cana-1281	105	16	of	of	ADP
cana-1281	105	17	patient	patient	ADJ
cana-1281	105	18	records	record	NOUN
cana-1281	105	19	including	include	VERB
cana-1281	105	20	known	known	ADJ
cana-1281	105	21	diagnosis	diagnosis	NOUN
cana-1281	105	22	,	,	PUNCT
cana-1281	105	23	treatments	treatment	NOUN
cana-1281	105	24	,	,	PUNCT
cana-1281	105	25	and	and	CCONJ
cana-1281	105	26	other	other	ADJ
cana-1281	105	27	relevant	relevant	ADJ
cana-1281	105	28	information	information	NOUN
cana-1281	105	29	.	.	PUNCT
cana-1281	106	1	sometimes	sometimes	ADV
cana-1281	106	2	the	the	DET
cana-1281	106	3	rbf	rbf	PROPN
cana-1281	106	4	kernel	kernel	PROPN
cana-1281	106	5	is	be	AUX
cana-1281	106	6	chosen	choose	VERB
cana-1281	106	7	for	for	ADP
cana-1281	106	8	healthcare	healthcare	NOUN
cana-1281	106	9	data	datum	NOUN
cana-1281	106	10	since	since	SCONJ
cana-1281	106	11	it	it	PRON
cana-1281	106	12	can	can	AUX
cana-1281	106	13	control	control	VERB
cana-1281	106	14	complex	complex	ADJ
cana-1281	106	15	,	,	PUNCT
cana-1281	106	16	non	non	ADJ
cana-1281	106	17	-	-	ADJ
cana-1281	106	18	linear	linear	ADJ
cana-1281	106	19	correlations	correlation	NOUN
cana-1281	106	20	between	between	ADP
cana-1281	106	21	features	feature	NOUN
cana-1281	106	22	.	.	PUNCT
cana-1281	107	1	over	over	ADP
cana-1281	107	2	the	the	DET
cana-1281	107	3	training	training	NOUN
cana-1281	107	4	period	period	NOUN
cana-1281	107	5	,	,	PUNCT
cana-1281	107	6	the	the	DET
cana-1281	107	7	svm	svm	ADJ
cana-1281	107	8	technique	technique	NOUN
cana-1281	107	9	looks	look	VERB
cana-1281	107	10	for	for	ADP
cana-1281	107	11	the	the	DET
cana-1281	107	12	optimum	optimum	ADJ
cana-1281	107	13	hyperplane	hyperplane	NOUN
cana-1281	107	14	separating	separate	VERB
cana-1281	107	15	the	the	DET
cana-1281	107	16	data	data	NOUN
cana-1281	107	17	points	point	NOUN
cana-1281	107	18	of	of	ADP
cana-1281	107	19	various	various	ADJ
cana-1281	107	20	classes	class	NOUN
cana-1281	107	21	with	with	ADP
cana-1281	107	22	the	the	DET
cana-1281	107	23	maximum	maximum	ADJ
cana-1281	107	24	margin	margin	NOUN
cana-1281	107	25	.	.	PUNCT
cana-1281	108	1	the	the	DET
cana-1281	108	2	margin	margin	NOUN
cana-1281	108	3	is	be	AUX
cana-1281	108	4	found	find	VERB
cana-1281	108	5	by	by	ADP
cana-1281	108	6	support	support	NOUN
cana-1281	108	7	vectors	vector	NOUN
cana-1281	108	8	,	,	PUNCT
cana-1281	108	9	or	or	CCONJ
cana-1281	108	10	the	the	DET
cana-1281	108	11	distance	distance	NOUN
cana-1281	108	12	between	between	ADP
cana-1281	108	13	the	the	DET
cana-1281	108	14	hyperplane	hyperplane	NOUN
cana-1281	108	15	and	and	CCONJ
cana-1281	108	16	the	the	DET
cana-1281	108	17	nearest	near	ADJ
cana-1281	108	18	data	data	NOUN
cana-1281	108	19	points	point	NOUN
cana-1281	108	20	from	from	ADP
cana-1281	108	21	every	every	DET
cana-1281	108	22	class	class	NOUN
cana-1281	108	23	.	.	PUNCT
cana-1281	109	1	through	through	ADP
cana-1281	109	2	optimization	optimization	NOUN
cana-1281	109	3	techniques	technique	NOUN
cana-1281	109	4	,	,	PUNCT
cana-1281	109	5	the	the	DET
cana-1281	109	6	strategy	strategy	NOUN
cana-1281	109	7	maximizes	maximize	VERB
cana-1281	109	8	this	this	DET
cana-1281	109	9	margin	margin	NOUN
cana-1281	109	10	by	by	ADP
cana-1281	109	11	varying	vary	VERB
cana-1281	109	12	the	the	DET
cana-1281	109	13	hyperplane	hyperplane	PROPN
cana-1281	109	14	and	and	CCONJ
cana-1281	109	15	kernel	kernel	PROPN
cana-1281	109	16	function	function	PROPN
cana-1281	109	17	parameters	parameter	NOUN
cana-1281	109	18	.	.	PUNCT
cana-1281	110	1	depending	depend	VERB
cana-1281	110	2	on	on	ADP
cana-1281	110	3	patient	patient	ADJ
cana-1281	110	4	characteristics	characteristic	NOUN
cana-1281	110	5	for	for	ADP
cana-1281	110	6	healthcare	healthcare	PROPN
cana-1281	110	7	data	datum	NOUN
cana-1281	110	8	,	,	PUNCT
cana-1281	110	9	this	this	DET
cana-1281	110	10	approach	approach	NOUN
cana-1281	110	11	helps	help	VERB
cana-1281	110	12	distinguish	distinguish	VERB
cana-1281	110	13	among	among	ADP
cana-1281	110	14	numerous	numerous	ADJ
cana-1281	110	15	medical	medical	ADJ
cana-1281	110	16	diseases	disease	NOUN
cana-1281	110	17	.	.	PUNCT
cana-1281	111	1	hyperparameter	hyperparameter	NOUN
cana-1281	111	2	tuning	tuning	NOUN
cana-1281	111	3	of	of	ADP
cana-1281	111	4	kernel	kernel	PROPN
cana-1281	111	5	type	type	NOUN
cana-1281	111	6	,	,	PUNCT
cana-1281	111	7	regularizing	regularize	VERB
cana-1281	111	8	parameter	parameter	NOUN
cana-1281	111	9	(	(	PUNCT
cana-1281	111	10	c	c	NOUN
cana-1281	111	11	)	)	PUNCT
cana-1281	111	12	,	,	PUNCT
cana-1281	111	13	and	and	CCONJ
cana-1281	111	14	kernel	kernel	PROPN
cana-1281	111	15	parameters	parameter	NOUN
cana-1281	111	16	helps	help	VERB
cana-1281	111	17	to	to	PART
cana-1281	111	18	improve	improve	VERB
cana-1281	111	19	the	the	DET
cana-1281	111	20	model	model	NOUN
cana-1281	111	21	performance	performance	NOUN
cana-1281	111	22	.	.	PUNCT
cana-1281	112	1	cross	cross	ADJ
cana-1281	112	2	-	-	ADJ
cana-1281	112	3	valuation	valuation	ADJ
cana-1281	112	4	techniques	technique	NOUN
cana-1281	112	5	guarantee	guarantee	VERB
cana-1281	112	6	that	that	SCONJ
cana-1281	112	7	the	the	DET
cana-1281	112	8	model	model	NOUN
cana-1281	112	9	avoids	avoid	VERB
cana-1281	112	10	generalizing	generalize	VERB
cana-1281	112	11	poorly	poorly	ADV
cana-1281	112	12	to	to	ADP
cana-1281	112	13	new	new	ADJ
cana-1281	112	14	data	datum	NOUN
cana-1281	112	15	and	and	CCONJ
cana-1281	112	16	help	help	VERB
cana-1281	112	17	to	to	PART
cana-1281	112	18	prevent	prevent	VERB
cana-1281	112	19	overfitting	overfitting	NOUN
cana-1281	112	20	.	.	PUNCT
cana-1281	113	1	after	after	ADP
cana-1281	113	2	training	training	NOUN
cana-1281	113	3	and	and	CCONJ
cana-1281	113	4	improvement	improvement	NOUN
cana-1281	113	5	,	,	PUNCT
cana-1281	113	6	the	the	DET
cana-1281	113	7	final	final	ADJ
cana-1281	113	8	svm	svm	ADJ
cana-1281	113	9	model	model	NOUN
cana-1281	113	10	finds	find	VERB
cana-1281	113	11	place	place	NOUN
cana-1281	113	12	on	on	ADP
cana-1281	113	13	the	the	DET
cana-1281	113	14	blockchain	blockchain	NOUN
cana-1281	113	15	.	.	PUNCT
cana-1281	114	1	it	it	PRON
cana-1281	114	2	groups	group	VERB
cana-1281	114	3	new	new	ADJ
cana-1281	114	4	transactions	transaction	NOUN
cana-1281	114	5	or	or	CCONJ
cana-1281	114	6	data	datum	NOUN
cana-1281	114	7	access	access	NOUN
cana-1281	114	8	requests	request	NOUN
cana-1281	114	9	such	such	ADJ
cana-1281	114	10	that	that	SCONJ
cana-1281	114	11	the	the	DET
cana-1281	114	12	blockchain	blockchain	PROPN
cana-1281	114	13	just	just	ADV
cana-1281	114	14	notes	note	VERB
cana-1281	114	15	approved	approve	VERB
cana-1281	114	16	activities	activity	NOUN
cana-1281	114	17	.	.	PUNCT
cana-1281	115	1	integration	integration	NOUN
cana-1281	115	2	of	of	ADP
cana-1281	115	3	this	this	DET
cana-1281	115	4	nature	nature	NOUN
cana-1281	115	5	helps	help	VERB
cana-1281	115	6	to	to	PART
cana-1281	115	7	preserve	preserve	VERB
cana-1281	115	8	blockchain	blockchain	NOUN
cana-1281	115	9	-	-	PUNCT
cana-1281	115	10	stored	store	VERB
cana-1281	115	11	healthcare	healthcare	NOUN
cana-1281	115	12	data	datum	NOUN
cana-1281	115	13	integrity	integrity	NOUN
cana-1281	115	14	and	and	CCONJ
cana-1281	115	15	security	security	NOUN
cana-1281	115	16	.	.	PUNCT
cana-1281	116	1	hyperplane	hyperplane	NOUN
cana-1281	116	2	is	be	AUX
cana-1281	116	3	defined	define	VERB
cana-1281	116	4	as	as	ADP
cana-1281	116	5	:	:	PUNCT
cana-1281	116	6	(	(	PUNCT
cana-1281	116	7	)	)	PUNCT
cana-1281	116	8	tf	tf	INTJ
cana-1281	116	9	x	x	X
cana-1281	116	10	b=	b=	NOUN
cana-1281	117	1	+	+	PROPN
cana-1281	117	2	w	w	NOUN
cana-1281	117	3	x	x	X
cana-1281	117	4	where	where	SCONJ
cana-1281	117	5	w	w	NOUN
cana-1281	117	6	weight	weight	NOUN
cana-1281	117	7	vector	vector	NOUN
cana-1281	117	8	and	and	CCONJ
cana-1281	117	9	b	b	NOUN
cana-1281	117	10	bias	bias	NOUN
cana-1281	117	11	term	term	NOUN
cana-1281	117	12	.	.	PUNCT
cana-1281	118	1	decision	decision	NOUN
cana-1281	118	2	function	function	NOUN
cana-1281	118	3	is	be	AUX
cana-1281	118	4	defined	define	VERB
cana-1281	118	5	as	as	ADP
cana-1281	118	6	:	:	PUNCT
cana-1281	118	7	communications	communication	NOUN
cana-1281	118	8	on	on	ADP
cana-1281	118	9	applied	apply	VERB
cana-1281	118	10	nonlinear	nonlinear	ADJ
cana-1281	118	11	analysis	analysis	NOUN
cana-1281	118	12	issn	issn	NOUN
cana-1281	118	13	:	:	PUNCT
cana-1281	118	14	1074	1074	NUM
cana-1281	118	15	-	-	PUNCT
cana-1281	118	16	133x	133x	NUM
cana-1281	118	17	vol	vol	NOUN
cana-1281	118	18	31	31	NUM
cana-1281	118	19	no	no	NOUN
cana-1281	118	20	.	.	PUNCT
cana-1281	119	1	7s	7	NOUN
cana-1281	119	2	(	(	PUNCT
cana-1281	119	3	2024	2024	NUM
cana-1281	119	4	)	)	PUNCT
cana-1281	119	5	28	28	NUM
cana-1281	119	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	119	7	(	(	PUNCT
cana-1281	119	8	)	)	PUNCT
cana-1281	119	9	sign	sign	NOUN
cana-1281	119	10	(	(	PUNCT
cana-1281	119	11	)	)	PUNCT
cana-1281	119	12	ty	ty	INTJ
cana-1281	119	13	x	x	NOUN
cana-1281	119	14	b=	b=	NOUN
cana-1281	120	1	+	+	PROPN
cana-1281	120	2	w	w	NOUN
cana-1281	120	3	x	x	X
cana-1281	120	4	this	this	DET
cana-1281	120	5	function	function	NOUN
cana-1281	120	6	classifies	classify	VERB
cana-1281	120	7	data	datum	NOUN
cana-1281	120	8	points	point	NOUN
cana-1281	120	9	based	base	VERB
cana-1281	120	10	on	on	ADP
cana-1281	120	11	the	the	DET
cana-1281	120	12	sign	sign	NOUN
cana-1281	120	13	of	of	ADP
cana-1281	120	14	the	the	DET
cana-1281	120	15	decision	decision	NOUN
cana-1281	120	16	function	function	NOUN
cana-1281	120	17	.	.	PUNCT
cana-1281	121	1	margin	margin	NOUN
cana-1281	121	2	is	be	AUX
cana-1281	121	3	defined	define	VERB
cana-1281	121	4	as	as	ADP
cana-1281	121	5	:	:	PUNCT
cana-1281	121	6	2	2	NUM
cana-1281	121	7	margin	margin	NOUN
cana-1281	121	8	=	=	PUNCT
cana-1281	121	9	w‖	w‖	NOUN
cana-1281	121	10	‖	‖	VERB
cana-1281	121	11	the	the	DET
cana-1281	121	12	margin	margin	NOUN
cana-1281	121	13	is	be	AUX
cana-1281	121	14	the	the	DET
cana-1281	121	15	distance	distance	NOUN
cana-1281	121	16	between	between	ADP
cana-1281	121	17	the	the	DET
cana-1281	121	18	hyperplane	hyperplane	NOUN
cana-1281	121	19	and	and	CCONJ
cana-1281	121	20	the	the	DET
cana-1281	121	21	closest	close	ADJ
cana-1281	121	22	data	data	NOUN
cana-1281	121	23	points	point	NOUN
cana-1281	121	24	(	(	PUNCT
cana-1281	121	25	support	support	NOUN
cana-1281	121	26	vectors	vector	NOUN
cana-1281	121	27	)	)	PUNCT
cana-1281	121	28	.	.	PUNCT
cana-1281	122	1	objective	objective	ADJ
cana-1281	122	2	function	function	NOUN
cana-1281	122	3	for	for	ADP
cana-1281	122	4	hard	hard	ADJ
cana-1281	122	5	margin	margin	NOUN
cana-1281	122	6	svm	svm	NOUN
cana-1281	122	7	is	be	AUX
cana-1281	122	8	defined	define	VERB
cana-1281	122	9	as	as	ADP
cana-1281	122	10	:	:	SYM
cana-1281	122	11	2	2	NUM
cana-1281	122	12	,	,	PUNCT
cana-1281	122	13	1	1	NUM
cana-1281	122	14	min	min	NOUN
cana-1281	122	15	2	2	NUM
cana-1281	122	16	bw	bw	PROPN
cana-1281	122	17	w‖	w‖	PROPN
cana-1281	122	18	‖	‖	PROPN
cana-1281	122	19	subject	subject	PROPN
cana-1281	122	20	to	to	ADP
cana-1281	122	21	(	(	PUNCT
cana-1281	122	22	)	)	PUNCT
cana-1281	122	23	1	1	NUM
cana-1281	122	24	t	t	NOUN
cana-1281	122	25	iy	iy	X
cana-1281	122	26	b+	b+	VERB
cana-1281	122	27	iw	iw	NOUN
cana-1281	122	28	x	x	PUNCT
cana-1281	122	29	for	for	ADP
cana-1281	122	30	all	all	DET
cana-1281	122	31	i.	i.	NOUN
cana-1281	122	32	objective	objective	ADJ
cana-1281	122	33	function	function	NOUN
cana-1281	122	34	for	for	ADP
cana-1281	122	35	soft	soft	ADJ
cana-1281	122	36	margin	margin	NOUN
cana-1281	122	37	svm	svm	NOUN
cana-1281	122	38	is	be	AUX
cana-1281	122	39	defined	define	VERB
cana-1281	122	40	as	as	ADP
cana-1281	122	41	:	:	SYM
cana-1281	122	42	2	2	NUM
cana-1281	122	43	,	,	PUNCT
cana-1281	122	44	,	,	PUNCT
cana-1281	122	45	1	1	NUM
cana-1281	122	46	1	1	NUM
cana-1281	122	47	min	min	NOUN
cana-1281	122	48	,	,	PUNCT
cana-1281	122	49	2i	2i	NOUN
cana-1281	123	1	n	n	PROPN
cana-1281	123	2	b	b	NOUN
cana-1281	124	1	i	i	PRON
cana-1281	125	1	i	i	INTJ
cana-1281	125	2	c	c	VERB
cana-1281	125	3	w	w	PROPN
cana-1281	125	4	b	b	ADP
cana-1281	125	5			NOUN
cana-1281	125	6	=	=	SYM
cana-1281	126	1	+	+	NUM
cana-1281	126	2	w	w	X
cana-1281	126	3	w‖	w‖	PROPN
cana-1281	126	4	‖	‖	PROPN
cana-1281	126	5	subject	subject	ADJ
cana-1281	126	6	to	to	ADP
cana-1281	126	7	(	(	PUNCT
cana-1281	126	8	)	)	PUNCT
cana-1281	126	9	1	1	NUM
cana-1281	126	10	t	t	NOUN
cana-1281	127	1	i	i	PRON
cana-1281	127	2	iy	iy	PROPN
cana-1281	127	3	b	b	PROPN
cana-1281	127	4	+	+	VERB
cana-1281	127	5			X
cana-1281	127	6	−iw	−iw	NOUN
cana-1281	127	7	x	x	X
cana-1281	127	8	and	and	CCONJ
cana-1281	127	9	0i	0i	PROPN
cana-1281	127	10			NUM
cana-1281	127	11	for	for	ADP
cana-1281	127	12	all	all	DET
cana-1281	127	13	i	i	PRON
cana-1281	127	14	,	,	PUNCT
cana-1281	127	15	where	where	SCONJ
cana-1281	127	16	i	i	PROPN
cana-1281	127	17	are	be	AUX
cana-1281	127	18	slack	slack	NOUN
cana-1281	127	19	variables	variable	NOUN
cana-1281	127	20	and	and	CCONJ
cana-1281	127	21	c	c	NOUN
cana-1281	127	22	is	be	AUX
cana-1281	127	23	the	the	DET
cana-1281	127	24	regularization	regularization	NOUN
cana-1281	127	25	parameter	parameter	NOUN
cana-1281	127	26	.	.	PUNCT
cana-1281	128	1	lagrangian	lagrangian	ADJ
cana-1281	128	2	for	for	ADP
cana-1281	128	3	hard	hard	ADJ
cana-1281	128	4	margin	margin	NOUN
cana-1281	128	5	svm	svm	NOUN
cana-1281	128	6	is	be	AUX
cana-1281	128	7	defined	define	VERB
cana-1281	128	8	as	as	ADP
cana-1281	128	9	:	:	SYM
cana-1281	128	10	2	2	NUM
cana-1281	128	11	1	1	NUM
cana-1281	128	12	1	1	NUM
cana-1281	128	13	(	(	PUNCT
cana-1281	128	14	,	,	PUNCT
cana-1281	128	15	,	,	PUNCT
cana-1281	128	16	)	)	PUNCT
cana-1281	129	1	[	[	PUNCT
cana-1281	129	2	(	(	PUNCT
cana-1281	129	3	)	)	PUNCT
cana-1281	129	4	1	1	NUM
cana-1281	129	5	]	]	SYM
cana-1281	129	6	2	2	NUM
cana-1281	129	7	n	n	NUM
cana-1281	129	8	t	t	NOUN
cana-1281	130	1	i	i	PRON
cana-1281	131	1	i	i	PRON
cana-1281	132	1	i	i	VERB
cana-1281	132	2	b	b	VERB
cana-1281	132	3	y	y	PROPN
cana-1281	132	4	b	b	VERB
cana-1281	132	5			X
cana-1281	132	6	=	=	PUNCT
cana-1281	132	7	=	=	SYM
cana-1281	132	8	−	−	PROPN
cana-1281	133	1	+	+	CCONJ
cana-1281	133	2	−	−	NUM
cana-1281	133	3	iw	iw	INTJ
cana-1281	133	4	w	w	PROPN
cana-1281	133	5	w	w	PROPN
cana-1281	133	6	xl	xl	PROPN
cana-1281	133	7	‖	‖	PROPN
cana-1281	133	8	‖	‖	PROPN
cana-1281	133	9	where	where	SCONJ
cana-1281	133	10	i	i	PRON
cana-1281	133	11	are	be	AUX
cana-1281	133	12	the	the	DET
cana-1281	133	13	lagrange	lagrange	NOUN
cana-1281	133	14	multipliers	multiplier	NOUN
cana-1281	133	15	.	.	PUNCT
cana-1281	134	1	dual	dual	ADJ
cana-1281	134	2	formulation	formulation	NOUN
cana-1281	134	3	for	for	ADP
cana-1281	134	4	hard	hard	ADJ
cana-1281	134	5	margin	margin	NOUN
cana-1281	134	6	svmis	svmis	ADV
cana-1281	134	7	defined	define	VERB
cana-1281	134	8	as	as	ADP
cana-1281	134	9	:	:	PUNCT
cana-1281	134	10	1	1	NUM
cana-1281	134	11	1	1	NUM
cana-1281	134	12	1	1	NUM
cana-1281	134	13	1	1	NUM
cana-1281	134	14	max	max	NOUN
cana-1281	134	15	2	2	NUM
cana-1281	134	16	n	n	CCONJ
cana-1281	134	17	n	n	CCONJ
cana-1281	134	18	n	n	NOUN
cana-1281	134	19	t	t	NOUN
cana-1281	135	1	i	i	PRON
cana-1281	136	1	i	i	INTJ
cana-1281	136	2	j	j	VERB
cana-1281	137	1	i	i	PRON
cana-1281	137	2	j	j	VERB
cana-1281	138	1	i	i	PRON
cana-1281	138	2	i	i	INTJ
cana-1281	138	3	j	j	PROPN
cana-1281	138	4	y	y	PROPN
cana-1281	138	5	y	y	PROPN
cana-1281	138	6			PROPN
cana-1281	138	7			PRON
cana-1281	138	8	=	=	PUNCT
cana-1281	138	9	=	=	SYM
cana-1281	138	10	=	=	SYM
cana-1281	138	11			PROPN
cana-1281	138	12			NOUN
cana-1281	138	13	−	−	PUNCT
cana-1281	138	14			PROPN
cana-1281	138	15			PROPN
cana-1281	138	16			PROPN
cana-1281	138	17			X
cana-1281	139	1			ADV
cana-1281	139	2	i	i	PRON
cana-1281	139	3	j	j	VERB
cana-1281	139	4	x	x	PUNCT
cana-1281	139	5	x	x	X
cana-1281	139	6	subject	subject	ADJ
cana-1281	139	7	to	to	ADP
cana-1281	139	8	1	1	NUM
cana-1281	139	9	0and	0and	NUM
cana-1281	139	10	0	0	PUNCT
cana-1281	140	1	n	n	CCONJ
cana-1281	141	1	i	i	PRON
cana-1281	142	1	i	i	PRON
cana-1281	142	2	i	i	PRON
cana-1281	143	1	i	i	PRON
cana-1281	143	2	y	y	VERB
cana-1281	143	3			NOUN
cana-1281	143	4	=	=	SYM
cana-1281	143	5	=	=	SYM
cana-1281	143	6			PROPN
cana-1281	143	7	for	for	ADP
cana-1281	143	8	all	all	DET
cana-1281	143	9	i.	i.	NOUN
cana-1281	143	10	lagrangian	lagrangian	NOUN
cana-1281	143	11	for	for	ADP
cana-1281	143	12	soft	soft	ADJ
cana-1281	143	13	margin	margin	NOUN
cana-1281	143	14	svm	svm	NOUN
cana-1281	143	15	is	be	AUX
cana-1281	143	16	defined	define	VERB
cana-1281	143	17	as	as	ADP
cana-1281	143	18	:	:	SYM
cana-1281	143	19	2	2	NUM
cana-1281	143	20	1	1	NUM
cana-1281	143	21	1	1	NUM
cana-1281	143	22	1	1	NUM
cana-1281	143	23	(	(	PUNCT
cana-1281	143	24	,	,	PUNCT
cana-1281	143	25	,	,	PUNCT
cana-1281	143	26	,	,	PUNCT
cana-1281	143	27	)	)	PUNCT
cana-1281	144	1	[	[	PUNCT
cana-1281	144	2	(	(	PUNCT
cana-1281	144	3	)	)	PUNCT
cana-1281	144	4	1	1	NUM
cana-1281	144	5	]	]	SYM
cana-1281	144	6	2	2	NUM
cana-1281	144	7	n	n	NUM
cana-1281	144	8	n	n	NOUN
cana-1281	144	9	t	t	NOUN
cana-1281	145	1	i	i	PRON
cana-1281	145	2	i	i	PRON
cana-1281	146	1	i	i	PRON
cana-1281	146	2	i	i	PRON
cana-1281	147	1	i	i	PRON
cana-1281	148	1	i	i	PRON
cana-1281	148	2	b	b	VERB
cana-1281	148	3	c	c	NOUN
cana-1281	148	4	y	y	PROPN
cana-1281	148	5	b	b	NOUN
cana-1281	148	6			NOUN
cana-1281	148	7			NOUN
cana-1281	148	8			X
cana-1281	148	9			NOUN
cana-1281	148	10	=	=	SYM
cana-1281	149	1	=	=	PUNCT
cana-1281	149	2	=	=	PUNCT
cana-1281	150	1	+	+	NUM
cana-1281	150	2	−	−	PROPN
cana-1281	151	1	+	+	CCONJ
cana-1281	151	2	−	−	PROPN
cana-1281	152	1	+	+	NOUN
cana-1281	152	2			X
cana-1281	152	3			X
cana-1281	152	4	iw	iw	INTJ
cana-1281	152	5	w	w	PROPN
cana-1281	152	6	w	w	PROPN
cana-1281	152	7	xl	xl	PROPN
cana-1281	152	8	‖	‖	PROPN
cana-1281	152	9	‖	‖	PROPN
cana-1281	152	10	where	where	SCONJ
cana-1281	152	11	i	i	PROPN
cana-1281	152	12	are	be	AUX
cana-1281	152	13	slack	slack	NOUN
cana-1281	152	14	variables	variable	NOUN
cana-1281	152	15	and	and	CCONJ
cana-1281	152	16	i	i	NOUN
cana-1281	152	17	are	be	AUX
cana-1281	152	18	the	the	DET
cana-1281	152	19	lagrange	lagrange	NOUN
cana-1281	152	20	multipliers	multiplier	NOUN
cana-1281	152	21	.	.	PUNCT
cana-1281	153	1	dual	dual	ADJ
cana-1281	153	2	formulation	formulation	NOUN
cana-1281	153	3	for	for	ADP
cana-1281	153	4	soft	soft	ADJ
cana-1281	153	5	margin	margin	NOUN
cana-1281	153	6	svm	svm	NOUN
cana-1281	153	7	is	be	AUX
cana-1281	153	8	defined	define	VERB
cana-1281	153	9	as	as	ADP
cana-1281	153	10	:	:	PUNCT
cana-1281	153	11	communications	communication	NOUN
cana-1281	153	12	on	on	ADP
cana-1281	153	13	applied	apply	VERB
cana-1281	153	14	nonlinear	nonlinear	ADJ
cana-1281	153	15	analysis	analysis	NOUN
cana-1281	153	16	issn	issn	NOUN
cana-1281	153	17	:	:	PUNCT
cana-1281	153	18	1074	1074	NUM
cana-1281	153	19	-	-	PUNCT
cana-1281	153	20	133x	133x	NUM
cana-1281	153	21	vol	vol	NOUN
cana-1281	153	22	31	31	NUM
cana-1281	153	23	no	no	NOUN
cana-1281	153	24	.	.	PUNCT
cana-1281	154	1	7s	7	NOUN
cana-1281	154	2	(	(	PUNCT
cana-1281	154	3	2024	2024	NUM
cana-1281	154	4	)	)	PUNCT
cana-1281	154	5	29	29	NUM
cana-1281	154	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-1281	154	7	1	1	NUM
cana-1281	154	8	1	1	NUM
cana-1281	154	9	1	1	NUM
cana-1281	154	10	1	1	NUM
cana-1281	154	11	max	max	NOUN
cana-1281	154	12	2	2	NUM
cana-1281	154	13	n	n	CCONJ
cana-1281	154	14	n	n	CCONJ
cana-1281	154	15	n	n	NOUN
cana-1281	154	16	t	t	NOUN
cana-1281	155	1	i	i	PRON
cana-1281	156	1	i	i	INTJ
cana-1281	156	2	j	j	VERB
cana-1281	157	1	i	i	PRON
cana-1281	157	2	j	j	VERB
cana-1281	158	1	i	i	PRON
cana-1281	158	2	i	i	INTJ
cana-1281	158	3	j	j	PROPN
cana-1281	158	4	y	y	PROPN
cana-1281	158	5	y	y	PROPN
cana-1281	158	6			PROPN
cana-1281	158	7			PRON
cana-1281	158	8	=	=	PUNCT
cana-1281	158	9	=	=	SYM
cana-1281	158	10	=	=	SYM
cana-1281	158	11			PROPN
cana-1281	158	12			NOUN
cana-1281	158	13	−	−	PUNCT
cana-1281	158	14			PROPN
cana-1281	158	15			PROPN
cana-1281	158	16			PROPN
cana-1281	158	17			X
cana-1281	159	1			ADV
cana-1281	159	2	i	i	PRON
cana-1281	159	3	j	j	VERB
cana-1281	159	4	x	x	PUNCT
cana-1281	159	5	x	x	PUNCT
cana-1281	159	6	subject	subject	ADJ
cana-1281	159	7	1	1	NUM
cana-1281	159	8	0	0	NUM
cana-1281	160	1	n	n	NOUN
cana-1281	161	1	i	i	PRON
cana-1281	162	1	i	i	PRON
cana-1281	162	2	i	i	PRON
cana-1281	162	3	y	y	PROPN
cana-1281	162	4	=	=	PUNCT
cana-1281	163	1	=	=	NOUN
cana-1281	163	2			X
cana-1281	163	3	for	for	ADP
cana-1281	163	4	all	all	DET
cana-1281	163	5	i.	i.	PROPN
cana-1281	163	6	kernel	kernel	PROPN
cana-1281	163	7	trick	trick	NOUN
cana-1281	163	8	is	be	AUX
cana-1281	163	9	defined	define	VERB
cana-1281	163	10	as	as	ADP
cana-1281	163	11	:	:	PUNCT
cana-1281	163	12	(	(	PUNCT
cana-1281	163	13	,	,	PUNCT
cana-1281	163	14	)	)	PUNCT
cana-1281	163	15	t	t	NOUN
cana-1281	163	16	k→	k→	PROPN
cana-1281	164	1	i	i	PRON
cana-1281	164	2	j	j	VERB
cana-1281	165	1	i	i	PRON
cana-1281	165	2	j	j	VERB
cana-1281	166	1	x	x	PUNCT
cana-1281	166	2	x	x	PUNCT
cana-1281	166	3	x	x	PUNCT
cana-1281	166	4	x	x	SYM
cana-1281	166	5	where	where	SCONJ
cana-1281	166	6	(	(	PUNCT
cana-1281	166	7	,	,	PUNCT
cana-1281	166	8	)	)	PUNCT
cana-1281	166	9	k	k	PROPN
cana-1281	167	1	i	i	PRON
cana-1281	167	2	j	j	NOUN
cana-1281	168	1	x	x	PUNCT
cana-1281	168	2	x	x	X
cana-1281	168	3	is	be	AUX
cana-1281	168	4	a	a	DET
cana-1281	168	5	kernel	kernel	NOUN
cana-1281	168	6	function	function	NOUN
cana-1281	168	7	such	such	ADJ
cana-1281	168	8	as	as	ADP
cana-1281	168	9	the	the	DET
cana-1281	168	10	radial	radial	ADJ
cana-1281	168	11	basis	basis	NOUN
cana-1281	168	12	function	function	NOUN
cana-1281	168	13	(	(	PUNCT
cana-1281	168	14	rbf	rbf	PROPN
cana-1281	168	15	)	)	PUNCT
cana-1281	168	16	kernel	kernel	PROPN
cana-1281	168	17	,	,	PUNCT
cana-1281	168	18	allowing	allow	VERB
cana-1281	168	19	for	for	ADP
cana-1281	168	20	nonlinear	nonlinear	ADJ
cana-1281	168	21	decision	decision	NOUN
cana-1281	168	22	boundaries	boundary	NOUN
cana-1281	168	23	.	.	PUNCT
cana-1281	169	1	3.4	3.4	NUM
cana-1281	169	2	.	.	PUNCT
cana-1281	170	1	blockchain	blockchain	PROPN
cana-1281	170	2	design	design	NOUN
cana-1281	170	3	and	and	CCONJ
cana-1281	170	4	architecture	architecture	NOUN
cana-1281	170	5	support	support	NOUN
cana-1281	170	6	vector	vector	NOUN
cana-1281	170	7	machine	machine	NOUN
cana-1281	170	8	(	(	PUNCT
cana-1281	170	9	svm	svm	ADJ
cana-1281	170	10	)	)	PUNCT
cana-1281	170	11	integration	integration	NOUN
cana-1281	170	12	with	with	ADP
cana-1281	170	13	blockchain	blockchain	PROPN
cana-1281	170	14	technology	technology	PROPN
cana-1281	170	15	is	be	AUX
cana-1281	170	16	the	the	DET
cana-1281	170	17	design	design	NOUN
cana-1281	170	18	of	of	ADP
cana-1281	170	19	a	a	DET
cana-1281	170	20	system	system	NOUN
cana-1281	170	21	whereby	whereby	SCONJ
cana-1281	170	22	svm	svm	ADJ
cana-1281	170	23	predictions	prediction	NOUN
cana-1281	170	24	improve	improve	VERB
cana-1281	170	25	the	the	DET
cana-1281	170	26	functioning	functioning	NOUN
cana-1281	170	27	of	of	ADP
cana-1281	170	28	blockchain	blockchain	PROPN
cana-1281	170	29	-	-	PUNCT
cana-1281	170	30	based	base	VERB
cana-1281	170	31	data	datum	NOUN
cana-1281	170	32	storage	storage	NOUN
cana-1281	170	33	.	.	PUNCT
cana-1281	171	1	usually	usually	ADV
cana-1281	171	2	consisting	consist	VERB
cana-1281	171	3	of	of	ADP
cana-1281	171	4	three	three	NUM
cana-1281	171	5	main	main	ADJ
cana-1281	171	6	components	component	NOUN
cana-1281	171	7	—	—	PUNCT
cana-1281	171	8	the	the	DET
cana-1281	171	9	svm	svm	ADJ
cana-1281	171	10	model	model	NOUN
cana-1281	171	11	,	,	PUNCT
cana-1281	171	12	the	the	DET
cana-1281	171	13	data	data	NOUN
cana-1281	171	14	management	management	NOUN
cana-1281	171	15	layer	layer	NOUN
cana-1281	171	16	,	,	PUNCT
cana-1281	171	17	and	and	CCONJ
cana-1281	171	18	the	the	DET
cana-1281	171	19	blockchain	blockchain	PROPN
cana-1281	171	20	ledger	ledger	NOUN
cana-1281	171	21	—	—	PUNCT
cana-1281	171	22	the	the	DET
cana-1281	171	23	architecture	architecture	NOUN
cana-1281	171	24	is	be	AUX
cana-1281	171	25	while	while	SCONJ
cana-1281	171	26	the	the	DET
cana-1281	171	27	svm	svm	ADJ
cana-1281	171	28	model	model	NOUN
cana-1281	171	29	is	be	AUX
cana-1281	171	30	used	use	VERB
cana-1281	171	31	to	to	PART
cana-1281	171	32	categorize	categorize	VERB
cana-1281	171	33	or	or	CCONJ
cana-1281	171	34	forecast	forecast	VERB
cana-1281	171	35	access	access	NOUN
cana-1281	171	36	requests	request	NOUN
cana-1281	171	37	and	and	CCONJ
cana-1281	171	38	data	datum	NOUN
cana-1281	171	39	security	security	NOUN
cana-1281	171	40	degrees	degree	NOUN
cana-1281	171	41	,	,	PUNCT
cana-1281	171	42	the	the	DET
cana-1281	171	43	blockchain	blockchain	PROPN
cana-1281	171	44	ledger	ledger	NOUN
cana-1281	171	45	retains	retain	VERB
cana-1281	171	46	unchangeable	unchangeable	ADJ
cana-1281	171	47	records	record	NOUN
cana-1281	171	48	of	of	ADP
cana-1281	171	49	transactions	transaction	NOUN
cana-1281	171	50	.	.	PUNCT
cana-1281	172	1	at	at	ADP
cana-1281	172	2	the	the	DET
cana-1281	172	3	data	data	NOUN
cana-1281	172	4	management	management	NOUN
cana-1281	172	5	level	level	NOUN
cana-1281	172	6	are	be	AUX
cana-1281	172	7	data	datum	NOUN
cana-1281	172	8	pretreatment	pretreatment	NOUN
cana-1281	172	9	,	,	PUNCT
cana-1281	172	10	svm	svm	NOUN
cana-1281	172	11	and	and	CCONJ
cana-1281	172	12	blockchain	blockchain	PROPN
cana-1281	172	13	integration	integration	NOUN
cana-1281	172	14	,	,	PUNCT
cana-1281	172	15	and	and	CCONJ
cana-1281	172	16	system	system	NOUN
cana-1281	172	17	operations	operation	NOUN
cana-1281	172	18	handled	handle	VERB
cana-1281	172	19	.	.	PUNCT
cana-1281	173	1	the	the	DET
cana-1281	173	2	svm	svm	PROPN
cana-1281	173	3	model	model	NOUN
cana-1281	173	4	is	be	AUX
cana-1281	173	5	added	add	VERB
cana-1281	173	6	into	into	ADP
cana-1281	173	7	the	the	DET
cana-1281	173	8	blockchain	blockchain	PROPN
cana-1281	173	9	system	system	NOUN
cana-1281	173	10	to	to	PART
cana-1281	173	11	create	create	VERB
cana-1281	173	12	real	real	ADJ
cana-1281	173	13	-	-	PUNCT
cana-1281	173	14	time	time	NOUN
cana-1281	173	15	forecasts	forecast	NOUN
cana-1281	173	16	once	once	ADV
cana-1281	173	17	designed	design	VERB
cana-1281	173	18	and	and	CCONJ
cana-1281	173	19	evaluated	evaluate	VERB
cana-1281	173	20	.	.	PUNCT
cana-1281	174	1	preprocessing	preprocesse	VERB
cana-1281	174	2	a	a	DET
cana-1281	174	3	fresh	fresh	ADJ
cana-1281	174	4	transaction	transaction	NOUN
cana-1281	174	5	or	or	CCONJ
cana-1281	174	6	data	data	NOUN
cana-1281	174	7	access	access	NOUN
cana-1281	174	8	request	request	NOUN
cana-1281	174	9	entered	enter	VERB
cana-1281	174	10	to	to	ADP
cana-1281	174	11	the	the	DET
cana-1281	174	12	blockchain	blockchain	NOUN
cana-1281	174	13	,	,	PUNCT
cana-1281	174	14	the	the	DET
cana-1281	174	15	data	data	NOUN
cana-1281	174	16	management	management	NOUN
cana-1281	174	17	layer	layer	NOUN
cana-1281	174	18	feeds	feed	VERB
cana-1281	174	19	the	the	DET
cana-1281	174	20	svm	svm	ADJ
cana-1281	174	21	model	model	NOUN
cana-1281	174	22	.	.	PUNCT
cana-1281	175	1	from	from	ADP
cana-1281	175	2	learned	learn	VERB
cana-1281	175	3	patterns	pattern	NOUN
cana-1281	175	4	and	and	CCONJ
cana-1281	175	5	classifications	classification	NOUN
cana-1281	175	6	,	,	PUNCT
cana-1281	175	7	the	the	DET
cana-1281	175	8	model	model	NOUN
cana-1281	175	9	then	then	ADV
cana-1281	175	10	projects	project	VERB
cana-1281	175	11	whether	whether	SCONJ
cana-1281	175	12	the	the	DET
cana-1281	175	13	request	request	NOUN
cana-1281	175	14	should	should	AUX
cana-1281	175	15	be	be	AUX
cana-1281	175	16	granted	grant	VERB
cana-1281	175	17	or	or	CCONJ
cana-1281	175	18	denied	deny	VERB
cana-1281	175	19	.	.	PUNCT
cana-1281	176	1	for	for	ADP
cana-1281	176	2	instance	instance	NOUN
cana-1281	176	3	,	,	PUNCT
cana-1281	176	4	the	the	DET
cana-1281	176	5	svm	svm	ADJ
cana-1281	176	6	model	model	NOUN
cana-1281	176	7	can	can	AUX
cana-1281	176	8	assist	assist	VERB
cana-1281	176	9	to	to	PART
cana-1281	176	10	assess	assess	VERB
cana-1281	176	11	the	the	DET
cana-1281	176	12	legitimacy	legitimacy	NOUN
cana-1281	176	13	of	of	ADP
cana-1281	176	14	access	access	NOUN
cana-1281	176	15	requests	request	NOUN
cana-1281	176	16	such	such	ADJ
cana-1281	176	17	that	that	SCONJ
cana-1281	176	18	only	only	ADV
cana-1281	176	19	authorized	authorize	VERB
cana-1281	176	20	ones	one	NOUN
cana-1281	176	21	are	be	AUX
cana-1281	176	22	handled	handle	VERB
cana-1281	176	23	and	and	CCONJ
cana-1281	176	24	recorded	record	VERB
cana-1281	176	25	on	on	ADP
cana-1281	176	26	the	the	DET
cana-1281	176	27	blockchain	blockchain	NOUN
cana-1281	176	28	.	.	PUNCT
cana-1281	177	1	making	make	VERB
cana-1281	177	2	decisions	decision	NOUN
cana-1281	177	3	calls	call	VERB
cana-1281	177	4	for	for	ADP
cana-1281	177	5	several	several	ADJ
cana-1281	177	6	stages	stage	NOUN
cana-1281	177	7	.	.	PUNCT
cana-1281	178	1	first	first	ADV
cana-1281	178	2	,	,	PUNCT
cana-1281	178	3	a	a	DET
cana-1281	178	4	data	data	NOUN
cana-1281	178	5	query	query	NOUN
cana-1281	178	6	or	or	CCONJ
cana-1281	178	7	transaction	transaction	NOUN
cana-1281	178	8	begins	begin	VERB
cana-1281	178	9	and	and	CCONJ
cana-1281	178	10	finds	find	VERB
cana-1281	178	11	its	its	PRON
cana-1281	178	12	way	way	NOUN
cana-1281	178	13	to	to	ADP
cana-1281	178	14	the	the	DET
cana-1281	178	15	blockchain	blockchain	PROPN
cana-1281	178	16	.	.	PUNCT
cana-1281	179	1	the	the	DET
cana-1281	179	2	system	system	NOUN
cana-1281	179	3	obtains	obtain	VERB
cana-1281	179	4	relevant	relevant	ADJ
cana-1281	179	5	data	datum	NOUN
cana-1281	179	6	characteristics	characteristic	NOUN
cana-1281	179	7	after	after	ADP
cana-1281	179	8	preprocessing	preprocesse	VERB
cana-1281	179	9	them	they	PRON
cana-1281	179	10	to	to	PART
cana-1281	179	11	match	match	VERB
cana-1281	179	12	the	the	DET
cana-1281	179	13	form	form	NOUN
cana-1281	179	14	of	of	ADP
cana-1281	179	15	the	the	DET
cana-1281	179	16	svm	svm	ADJ
cana-1281	179	17	model	model	NOUN
cana-1281	179	18	.	.	PUNCT
cana-1281	180	1	the	the	DET
cana-1281	180	2	preprocessed	preprocesse	VERB
cana-1281	180	3	data	datum	NOUN
cana-1281	180	4	then	then	ADV
cana-1281	180	5	feeds	feed	VERB
cana-1281	180	6	the	the	DET
cana-1281	180	7	svm	svm	ADJ
cana-1281	180	8	model	model	NOUN
cana-1281	180	9	to	to	PART
cana-1281	180	10	generate	generate	VERB
cana-1281	180	11	a	a	DET
cana-1281	180	12	prediction	prediction	NOUN
cana-1281	180	13	on	on	ADP
cana-1281	180	14	whether	whether	SCONJ
cana-1281	180	15	the	the	DET
cana-1281	180	16	transaction	transaction	NOUN
cana-1281	180	17	should	should	AUX
cana-1281	180	18	proceed	proceed	VERB
cana-1281	180	19	.	.	PUNCT
cana-1281	181	1	the	the	DET
cana-1281	181	2	transaction	transaction	NOUN
cana-1281	181	3	is	be	AUX
cana-1281	181	4	recorded	record	VERB
cana-1281	181	5	on	on	ADP
cana-1281	181	6	the	the	DET
cana-1281	181	7	blockchain	blockchain	PROPN
cana-1281	181	8	ledger	ledger	NOUN
cana-1281	181	9	should	should	AUX
cana-1281	181	10	the	the	DET
cana-1281	181	11	svm	svm	ADJ
cana-1281	181	12	model	model	NOUN
cana-1281	181	13	identify	identify	VERB
cana-1281	181	14	the	the	DET
cana-1281	181	15	request	request	NOUN
cana-1281	181	16	as	as	SCONJ
cana-1281	181	17	allowed	allow	VERB
cana-1281	181	18	.	.	PUNCT
cana-1281	182	1	should	should	AUX
cana-1281	182	2	classification	classification	NOUN
cana-1281	182	3	be	be	AUX
cana-1281	182	4	prohibited	prohibit	VERB
cana-1281	182	5	,	,	PUNCT
cana-1281	182	6	the	the	DET
cana-1281	182	7	transaction	transaction	NOUN
cana-1281	182	8	is	be	AUX
cana-1281	182	9	denied	deny	VERB
cana-1281	182	10	and	and	CCONJ
cana-1281	182	11	appropriate	appropriate	ADJ
cana-1281	182	12	security	security	NOUN
cana-1281	182	13	measures	measure	NOUN
cana-1281	182	14	are	be	AUX
cana-1281	182	15	triggered	trigger	VERB
cana-1281	182	16	.	.	PUNCT
cana-1281	183	1	blockchain	blockchain	NOUN
cana-1281	183	2	integration	integration	NOUN
cana-1281	183	3	enhances	enhance	VERB
cana-1281	183	4	data	datum	NOUN
cana-1281	183	5	integrity	integrity	NOUN
cana-1281	183	6	and	and	CCONJ
cana-1281	183	7	security	security	NOUN
cana-1281	183	8	of	of	ADP
cana-1281	183	9	the	the	DET
cana-1281	183	10	storage	storage	NOUN
cana-1281	183	11	systems	system	NOUN
cana-1281	183	12	.	.	PUNCT
cana-1281	184	1	the	the	DET
cana-1281	184	2	system	system	NOUN
cana-1281	184	3	ensures	ensure	VERB
cana-1281	184	4	that	that	SCONJ
cana-1281	184	5	,	,	PUNCT
cana-1281	184	6	given	give	VERB
cana-1281	184	7	the	the	DET
cana-1281	184	8	unchangeable	unchangeable	ADJ
cana-1281	184	9	property	property	NOUN
cana-1281	184	10	of	of	ADP
cana-1281	184	11	blockchain	blockchain	NOUN
cana-1281	184	12	,	,	PUNCT
cana-1281	184	13	once	once	ADV
cana-1281	184	14	a	a	DET
cana-1281	184	15	transaction	transaction	NOUN
cana-1281	184	16	is	be	AUX
cana-1281	184	17	recorded	record	VERB
cana-1281	184	18	it	it	PRON
cana-1281	184	19	can	can	AUX
cana-1281	184	20	not	not	PART
cana-1281	184	21	be	be	AUX
cana-1281	184	22	altered	alter	VERB
cana-1281	184	23	or	or	CCONJ
cana-1281	184	24	deleted	delete	VERB
cana-1281	184	25	.	.	PUNCT
cana-1281	185	1	forecasting	forecasting	NOUN
cana-1281	185	2	and	and	CCONJ
cana-1281	185	3	confirming	confirm	VERB
cana-1281	185	4	data	datum	NOUN
cana-1281	185	5	access	access	NOUN
cana-1281	185	6	requests	request	NOUN
cana-1281	185	7	helps	help	VERB
cana-1281	185	8	the	the	DET
cana-1281	185	9	svm	svm	ADJ
cana-1281	185	10	model	model	NOUN
cana-1281	185	11	offer	offer	VERB
cana-1281	185	12	an	an	DET
cana-1281	185	13	additional	additional	ADJ
cana-1281	185	14	layer	layer	NOUN
cana-1281	185	15	of	of	ADP
cana-1281	185	16	protection	protection	NOUN
cana-1281	185	17	that	that	PRON
cana-1281	185	18	keeps	keep	VERB
cana-1281	185	19	illicit	illicit	ADJ
cana-1281	185	20	activity	activity	NOUN
cana-1281	185	21	off	off	ADP
cana-1281	185	22	the	the	DET
cana-1281	185	23	records	record	NOUN
cana-1281	185	24	.	.	PUNCT
cana-1281	186	1	this	this	DET
cana-1281	186	2	all	all	ADV
cana-1281	186	3	-	-	PUNCT
cana-1281	186	4	encompassing	encompass	VERB
cana-1281	186	5	approach	approach	NOUN
cana-1281	186	6	reduces	reduce	VERB
cana-1281	186	7	the	the	DET
cana-1281	186	8	chance	chance	NOUN
cana-1281	186	9	of	of	ADP
cana-1281	186	10	data	data	NOUN
cana-1281	186	11	breaches	breach	NOUN
cana-1281	186	12	and	and	CCONJ
cana-1281	186	13	ensures	ensure	VERB
cana-1281	186	14	that	that	SCONJ
cana-1281	186	15	confidential	confidential	ADJ
cana-1281	186	16	healthcare	healthcare	PROPN
cana-1281	186	17	information	information	NOUN
cana-1281	186	18	stays	stay	VERB
cana-1281	186	19	safe	safe	ADJ
cana-1281	186	20	.	.	PUNCT
cana-1281	187	1	transaction	transaction	NOUN
cana-1281	187	2	validation	validation	NOUN
cana-1281	187	3	function	function	NOUN
cana-1281	187	4	is	be	AUX
cana-1281	187	5	defined	define	VERB
cana-1281	187	6	as	as	ADP
cana-1281	187	7	:	:	PUNCT
cana-1281	187	8	(	(	PUNCT
cana-1281	187	9	)	)	PUNCT
cana-1281	187	10	tf	tf	INTJ
cana-1281	187	11	x	x	PUNCT
cana-1281	188	1	=	=	PUNCT
cana-1281	188	2	w	w	NOUN
cana-1281	188	3	x	x	NOUN
cana-1281	188	4	this	this	PRON
cana-1281	188	5	represents	represent	VERB
cana-1281	188	6	the	the	DET
cana-1281	188	7	svm	svm	ADJ
cana-1281	188	8	decision	decision	NOUN
cana-1281	188	9	function	function	NOUN
cana-1281	188	10	used	use	VERB
cana-1281	188	11	to	to	PART
cana-1281	188	12	validate	validate	VERB
cana-1281	188	13	transactions	transaction	NOUN
cana-1281	188	14	.	.	PUNCT
cana-1281	189	1	communications	communication	NOUN
cana-1281	189	2	on	on	ADP
cana-1281	189	3	applied	apply	VERB
cana-1281	189	4	nonlinear	nonlinear	ADJ
cana-1281	189	5	analysis	analysis	NOUN
cana-1281	189	6	issn	issn	NOUN
cana-1281	189	7	:	:	PUNCT
cana-1281	189	8	1074	1074	NUM
cana-1281	189	9	-	-	PUNCT
cana-1281	189	10	133x	133x	NUM
cana-1281	189	11	vol	vol	NOUN
cana-1281	189	12	31	31	NUM
cana-1281	189	13	no	no	NOUN
cana-1281	189	14	.	.	PUNCT
cana-1281	190	1	7s	7	NOUN
cana-1281	190	2	(	(	PUNCT
cana-1281	190	3	2024	2024	NUM
cana-1281	190	4	)	)	PUNCT
cana-1281	190	5	30	30	NUM
cana-1281	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	190	7	where	where	SCONJ
cana-1281	190	8	,	,	PUNCT
cana-1281	190	9	w	w	PROPN
cana-1281	190	10	weight	weight	NOUN
cana-1281	190	11	vector	vector	NOUN
cana-1281	190	12	,	,	PUNCT
cana-1281	190	13	x	x	PRON
cana-1281	190	14	feature	feature	NOUN
cana-1281	190	15	vector	vector	NOUN
cana-1281	190	16	of	of	ADP
cana-1281	190	17	the	the	DET
cana-1281	190	18	transaction	transaction	NOUN
cana-1281	190	19	,	,	PUNCT
cana-1281	190	20	and	and	CCONJ
cana-1281	190	21	b	b	X
cana-1281	190	22	bias	bias	NOUN
cana-1281	190	23	term	term	NOUN
cana-1281	190	24	.	.	PUNCT
cana-1281	191	1	the	the	DET
cana-1281	191	2	function	function	NOUN
cana-1281	191	3	f(x	f(x	PROPN
cana-1281	191	4	)	)	PUNCT
cana-1281	191	5	provides	provide	VERB
cana-1281	191	6	a	a	DET
cana-1281	191	7	score	score	NOUN
cana-1281	191	8	used	use	VERB
cana-1281	191	9	to	to	PART
cana-1281	191	10	classify	classify	VERB
cana-1281	191	11	the	the	DET
cana-1281	191	12	transaction	transaction	NOUN
cana-1281	191	13	as	as	SCONJ
cana-1281	191	14	authorized	authorize	VERB
cana-1281	191	15	or	or	CCONJ
cana-1281	191	16	unauthorized	unauthorized	ADJ
cana-1281	191	17	.	.	PUNCT
cana-1281	192	1	svm	svm	ADJ
cana-1281	192	2	decision	decision	NOUN
cana-1281	192	3	function	function	NOUN
cana-1281	192	4	is	be	AUX
cana-1281	192	5	defined	define	VERB
cana-1281	192	6	as	as	ADP
cana-1281	192	7	:	:	PUNCT
cana-1281	192	8	(	(	PUNCT
cana-1281	192	9	)	)	PUNCT
cana-1281	192	10	sign	sign	NOUN
cana-1281	192	11	(	(	PUNCT
cana-1281	192	12	)	)	PUNCT
cana-1281	192	13	ty	ty	INTJ
cana-1281	192	14	x	x	NOUN
cana-1281	192	15	b=	b=	NOUN
cana-1281	192	16	+	+	PROPN
cana-1281	192	17	w	w	NOUN
cana-1281	192	18	x	x	X
cana-1281	192	19	this	this	DET
cana-1281	192	20	function	function	NOUN
cana-1281	192	21	classifies	classify	VERB
cana-1281	192	22	the	the	DET
cana-1281	192	23	transaction	transaction	NOUN
cana-1281	192	24	based	base	VERB
cana-1281	192	25	on	on	ADP
cana-1281	192	26	the	the	DET
cana-1281	192	27	sign	sign	NOUN
cana-1281	192	28	of	of	ADP
cana-1281	192	29	the	the	DET
cana-1281	192	30	decision	decision	NOUN
cana-1281	192	31	function	function	VERB
cana-1281	192	32	f(x	f(x	PROPN
cana-1281	192	33	)	)	PUNCT
cana-1281	192	34	.	.	PUNCT
cana-1281	193	1	if	if	SCONJ
cana-1281	193	2	y(x)=1	y(x)=1	NOUN
cana-1281	193	3	,	,	PUNCT
cana-1281	193	4	the	the	DET
cana-1281	193	5	transaction	transaction	NOUN
cana-1281	193	6	is	be	AUX
cana-1281	193	7	classified	classify	VERB
cana-1281	193	8	as	as	SCONJ
cana-1281	193	9	authorized	authorize	VERB
cana-1281	193	10	;	;	PUNCT
cana-1281	193	11	if	if	SCONJ
cana-1281	193	12	y(x)=−1	y(x)=−1	NUM
cana-1281	193	13	it	it	PRON
cana-1281	193	14	is	be	AUX
cana-1281	193	15	unauthorized	unauthorized	ADJ
cana-1281	193	16	.	.	PUNCT
cana-1281	194	1	blockchain	blockchain	PROPN
cana-1281	194	2	transaction	transaction	PROPN
cana-1281	194	3	validation	validation	NOUN
cana-1281	194	4	is	be	AUX
cana-1281	194	5	defined	define	VERB
cana-1281	194	6	as	as	ADP
cana-1281	194	7	:	:	PUNCT
cana-1281	194	8	valid	valid	ADJ
cana-1281	194	9	sign	sign	NOUN
cana-1281	194	10	(	(	PUNCT
cana-1281	194	11	)	)	PUNCT
cana-1281	194	12	t	t	PROPN
cana-1281	194	13	t	t	PROPN
cana-1281	194	14	b=	b=	NOUN
cana-1281	195	1	+	+	NOUN
cana-1281	195	2	tw	tw	NOUN
cana-1281	195	3	x	x	SYM
cana-1281	195	4	where	where	SCONJ
cana-1281	195	5	xt	xt	PROPN
cana-1281	195	6	feature	feature	NOUN
cana-1281	195	7	vector	vector	NOUN
cana-1281	195	8	of	of	ADP
cana-1281	195	9	the	the	DET
cana-1281	195	10	transaction	transaction	NOUN
cana-1281	195	11	t	t	PROPN
cana-1281	195	12	,	,	PUNCT
cana-1281	195	13	and	and	CCONJ
cana-1281	195	14	validt	validt	ADJ
cana-1281	195	15	whether	whether	SCONJ
cana-1281	195	16	the	the	DET
cana-1281	195	17	transaction	transaction	NOUN
cana-1281	195	18	is	be	AUX
cana-1281	195	19	valid	valid	ADJ
cana-1281	195	20	.	.	PUNCT
cana-1281	196	1	if	if	SCONJ
cana-1281	196	2	valid	valid	ADJ
cana-1281	196	3	1	1	NUM
cana-1281	196	4	t	t	NOUN
cana-1281	196	5	=	=	PRON
cana-1281	196	6	,	,	PUNCT
cana-1281	196	7	the	the	DET
cana-1281	196	8	transaction	transaction	NOUN
cana-1281	196	9	is	be	AUX
cana-1281	196	10	allowed	allow	VERB
cana-1281	196	11	;	;	PUNCT
cana-1281	196	12	otherwise	otherwise	ADV
cana-1281	196	13	,	,	PUNCT
cana-1281	196	14	it	it	PRON
cana-1281	196	15	is	be	AUX
cana-1281	196	16	rejected	reject	VERB
cana-1281	196	17	.	.	PUNCT
cana-1281	197	1	blockchain	blockchain	NOUN
cana-1281	197	2	ledger	ledger	NOUN
cana-1281	197	3	update	update	NOUN
cana-1281	197	4	is	be	AUX
cana-1281	197	5	defined	define	VERB
cana-1281	197	6	as	as	ADP
cana-1281	197	7	:	:	PUNCT
cana-1281	197	8	ledger	ledger	NOUN
cana-1281	197	9	ledger	ledger	NOUN
cana-1281	197	10	{	{	PUNCT
cana-1281	197	11	transaction	transaction	NOUN
cana-1281	197	12	}	}	PUNCT
cana-1281	197	13	new	new	ADJ
cana-1281	197	14	old	old	ADJ
cana-1281	197	15	t=	t=	PROPN
cana-1281	197	16			NOUN
cana-1281	197	17	if	if	SCONJ
cana-1281	197	18	the	the	DET
cana-1281	197	19	transaction	transaction	NOUN
cana-1281	197	20	t	t	PROPN
cana-1281	197	21	is	be	AUX
cana-1281	197	22	validated	validate	VERB
cana-1281	197	23	as	as	ADP
cana-1281	197	24	validt=1	validt=1	NUM
cana-1281	197	25	,	,	PUNCT
cana-1281	197	26	it	it	PRON
cana-1281	197	27	is	be	AUX
cana-1281	197	28	appended	append	VERB
cana-1281	197	29	to	to	ADP
cana-1281	197	30	the	the	DET
cana-1281	197	31	existing	exist	VERB
cana-1281	197	32	ledger	ledger	NOUN
cana-1281	197	33	ledgerold	ledgerold	ADJ
cana-1281	197	34	to	to	PART
cana-1281	197	35	form	form	VERB
cana-1281	197	36	the	the	DET
cana-1281	197	37	new	new	ADJ
cana-1281	197	38	ledger	ledger	NOUN
cana-1281	197	39	ledgernew	ledgernew	ADJ
cana-1281	197	40	.	.	PUNCT
cana-1281	198	1	svm	svm	ADJ
cana-1281	198	2	model	model	NOUN
cana-1281	198	3	training	training	NOUN
cana-1281	198	4	objective	objective	ADJ
cana-1281	198	5	function	function	NOUN
cana-1281	198	6	is	be	AUX
cana-1281	198	7	defined	define	VERB
cana-1281	198	8	as	as	ADP
cana-1281	198	9	:	:	SYM
cana-1281	198	10	2	2	NUM
cana-1281	198	11	,	,	PUNCT
cana-1281	198	12	,	,	PUNCT
cana-1281	198	13	1	1	NUM
cana-1281	198	14	1	1	NUM
cana-1281	198	15	min	min	NOUN
cana-1281	198	16	,	,	PUNCT
cana-1281	198	17	2i	2i	NOUN
cana-1281	198	18	n	n	PROPN
cana-1281	198	19	b	b	NOUN
cana-1281	199	1	i	i	PRON
cana-1281	200	1	i	i	INTJ
cana-1281	200	2	c	c	VERB
cana-1281	200	3	w	w	PROPN
cana-1281	200	4	b	b	ADP
cana-1281	200	5			NOUN
cana-1281	200	6	=	=	SYM
cana-1281	201	1	+	+	NUM
cana-1281	201	2	w	w	PROPN
cana-1281	201	3	w‖	w‖	PROPN
cana-1281	201	4	‖	‖	PROPN
cana-1281	201	5	this	this	DET
cana-1281	201	6	equation	equation	NOUN
cana-1281	201	7	represents	represent	VERB
cana-1281	201	8	the	the	DET
cana-1281	201	9	objective	objective	ADJ
cana-1281	201	10	function	function	NOUN
cana-1281	201	11	for	for	ADP
cana-1281	201	12	training	train	VERB
cana-1281	201	13	an	an	DET
cana-1281	201	14	svm	svm	ADJ
cana-1281	201	15	model	model	NOUN
cana-1281	201	16	with	with	ADP
cana-1281	201	17	a	a	DET
cana-1281	201	18	soft	soft	ADJ
cana-1281	201	19	margin	margin	NOUN
cana-1281	201	20	.	.	PUNCT
cana-1281	202	1	the	the	DET
cana-1281	202	2	term	term	NOUN
cana-1281	202	3	21	21	NUM
cana-1281	202	4	2	2	NUM
cana-1281	202	5	w‖	w‖	NOUN
cana-1281	202	6	‖	‖	PROPN
cana-1281	202	7	aims	aim	VERB
cana-1281	202	8	to	to	PART
cana-1281	202	9	maximize	maximize	VERB
cana-1281	202	10	the	the	DET
cana-1281	202	11	margin	margin	NOUN
cana-1281	202	12	,	,	PUNCT
cana-1281	202	13	while	while	SCONJ
cana-1281	202	14	1	1	NUM
cana-1281	202	15	n	n	NOUN
cana-1281	203	1	i	i	PRON
cana-1281	203	2	i	i	PRON
cana-1281	203	3	c	c	NOUN
cana-1281	203	4			NOUN
cana-1281	203	5	=	=	PUNCT
cana-1281	203	6			X
cana-1281	203	7	penalizes	penalize	VERB
cana-1281	203	8	the	the	DET
cana-1281	203	9	slack	slack	NOUN
cana-1281	203	10	variables	variable	VERB
cana-1281	203	11	ξi	ξi	VERB
cana-1281	203	12	for	for	ADP
cana-1281	203	13	misclassified	misclassified	ADJ
cana-1281	203	14	transactions	transaction	NOUN
cana-1281	203	15	.	.	PUNCT
cana-1281	204	1	lagrangian	lagrangian	ADJ
cana-1281	204	2	dual	dual	ADJ
cana-1281	204	3	formulation	formulation	NOUN
cana-1281	204	4	is	be	AUX
cana-1281	204	5	formulated	formulate	VERB
cana-1281	204	6	as	as	ADP
cana-1281	204	7	:	:	SYM
cana-1281	204	8	1	1	NUM
cana-1281	204	9	1	1	NUM
cana-1281	204	10	1	1	NUM
cana-1281	204	11	1	1	NUM
cana-1281	204	12	max	max	NOUN
cana-1281	204	13	(	(	PUNCT
cana-1281	204	14	,	,	PUNCT
cana-1281	204	15	)	)	PUNCT
cana-1281	204	16	2	2	NUM
cana-1281	204	17	n	n	ADP
cana-1281	204	18	n	n	CCONJ
cana-1281	204	19	n	n	NOUN
cana-1281	205	1	i	i	PRON
cana-1281	206	1	i	i	INTJ
cana-1281	206	2	j	j	VERB
cana-1281	207	1	i	i	PRON
cana-1281	207	2	j	j	VERB
cana-1281	208	1	i	i	PRON
cana-1281	208	2	i	i	PRON
cana-1281	209	1	j	j	PROPN
cana-1281	209	2	y	y	PROPN
cana-1281	209	3	y	y	PROPN
cana-1281	209	4	k	k	PROPN
cana-1281	209	5			NOUN
cana-1281	209	6			PRON
cana-1281	209	7	=	=	PUNCT
cana-1281	209	8	=	=	SYM
cana-1281	209	9	=	=	SYM
cana-1281	209	10			PROPN
cana-1281	209	11			NOUN
cana-1281	209	12	−	−	PUNCT
cana-1281	209	13			PROPN
cana-1281	209	14			PROPN
cana-1281	209	15			PROPN
cana-1281	209	16			X
cana-1281	209	17			ADV
cana-1281	210	1	i	i	PRON
cana-1281	210	2	j	j	VERB
cana-1281	211	1	x	x	PUNCT
cana-1281	211	2	x	x	SYM
cana-1281	211	3	svm	svm	ADJ
cana-1281	211	4	prediction	prediction	NOUN
cana-1281	211	5	for	for	ADP
cana-1281	211	6	new	new	ADJ
cana-1281	211	7	data	datum	NOUN
cana-1281	211	8	is	be	AUX
cana-1281	211	9	defined	define	VERB
cana-1281	211	10	as	as	ADP
cana-1281	211	11	:	:	PUNCT
cana-1281	211	12	communications	communication	NOUN
cana-1281	211	13	on	on	ADP
cana-1281	211	14	applied	apply	VERB
cana-1281	211	15	nonlinear	nonlinear	ADJ
cana-1281	211	16	analysis	analysis	NOUN
cana-1281	211	17	issn	issn	NOUN
cana-1281	211	18	:	:	PUNCT
cana-1281	211	19	1074	1074	NUM
cana-1281	211	20	-	-	PUNCT
cana-1281	211	21	133x	133x	NUM
cana-1281	211	22	vol	vol	NOUN
cana-1281	211	23	31	31	NUM
cana-1281	211	24	no	no	NOUN
cana-1281	211	25	.	.	PUNCT
cana-1281	212	1	7s	7	NOUN
cana-1281	212	2	(	(	PUNCT
cana-1281	212	3	2024	2024	NUM
cana-1281	212	4	)	)	PUNCT
cana-1281	212	5	31	31	NUM
cana-1281	212	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	212	7	(	(	PUNCT
cana-1281	212	8	)	)	PUNCT
cana-1281	212	9	ˆ	ˆ	NOUN
cana-1281	212	10	sign	sign	NOUN
cana-1281	212	11	ty	ty	PRON
cana-1281	212	12	b=	b=	NOUN
cana-1281	213	1	+	+	ADP
cana-1281	213	2	w	w	NOUN
cana-1281	213	3	x	x	X
cana-1281	213	4	this	this	PRON
cana-1281	213	5	is	be	AUX
cana-1281	213	6	used	use	VERB
cana-1281	213	7	to	to	PART
cana-1281	213	8	predict	predict	VERB
cana-1281	213	9	the	the	DET
cana-1281	213	10	class	class	NOUN
cana-1281	213	11	label	label	NOUN
cana-1281	213	12	for	for	ADP
cana-1281	213	13	new	new	ADJ
cana-1281	213	14	data	datum	NOUN
cana-1281	213	15	x	x	PUNCT
cana-1281	213	16	based	base	VERB
cana-1281	213	17	on	on	ADP
cana-1281	213	18	the	the	DET
cana-1281	213	19	trained	train	VERB
cana-1281	213	20	svm	svm	PROPN
cana-1281	213	21	model	model	NOUN
cana-1281	213	22	.	.	PUNCT
cana-1281	214	1	pseudocode	pseudocode	PROPN
cana-1281	214	2	:	:	PUNCT
cana-1281	214	3	blockchain	blockchain	PROPN
cana-1281	214	4	integration	integration	NOUN
cana-1281	214	5	initialize	initialize	VERB
cana-1281	214	6	blockchain	blockchain	NOUN
cana-1281	214	7	system	system	NOUN
cana-1281	214	8	initialize	initialize	VERB
cana-1281	214	9	trained	train	VERB
cana-1281	214	10	svm	svm	ADJ
cana-1281	214	11	model	model	NOUN
cana-1281	214	12	function	function	NOUN
cana-1281	214	13	preprocessdata(data	preprocessdata(data	PROPN
cana-1281	214	14	):	):	PUNCT
cana-1281	214	15	handle	handle	VERB
cana-1281	214	16	missing	miss	VERB
cana-1281	214	17	values	value	NOUN
cana-1281	214	18	encode	encode	ADJ
cana-1281	214	19	categorical	categorical	ADJ
cana-1281	214	20	variables	variable	NOUN
cana-1281	214	21	normalize	normalize	VERB
cana-1281	214	22	features	feature	NOUN
cana-1281	214	23	return	return	VERB
cana-1281	214	24	preprocessed_data	preprocessed_data	PROPN
cana-1281	214	25	function	function	NOUN
cana-1281	214	26	predicttransaction(preprocessed_data	predicttransaction(preprocessed_data	PROPN
cana-1281	214	27	,	,	PUNCT
cana-1281	214	28	trained_svm_model	trained_svm_model	NUM
cana-1281	214	29	):	):	PUNCT
cana-1281	214	30	return	return	NOUN
cana-1281	214	31	trained_svm_model.predict(preprocessed_data	trained_svm_model.predict(preprocessed_data	NOUN
cana-1281	214	32	)	)	PUNCT
cana-1281	214	33	function	function	NOUN
cana-1281	214	34	validatetransaction(transaction	validatetransaction(transaction	PROPN
cana-1281	214	35	,	,	PUNCT
cana-1281	214	36	trained_svm_model	trained_svm_model	PROPN
cana-1281	214	37	):	):	PUNCT
cana-1281	214	38	preprocessed_data	preprocessed_data	NOUN
cana-1281	214	39	=	=	SYM
cana-1281	214	40	preprocessdata(transaction.features	preprocessdata(transaction.feature	NOUN
cana-1281	214	41	)	)	PUNCT
cana-1281	214	42	prediction	prediction	NOUN
cana-1281	214	43	=	=	PUNCT
cana-1281	214	44	predicttransaction(preprocessed_data	predicttransaction(preprocessed_data	X
cana-1281	214	45	,	,	PUNCT
cana-1281	214	46	trained_svm_model	trained_svm_model	PROPN
cana-1281	214	47	)	)	PUNCT
cana-1281	214	48	if	if	SCONJ
cana-1281	214	49	prediction	prediction	NOUN
cana-1281	214	50	=	=	NOUN
cana-1281	214	51	=	=	SYM
cana-1281	214	52	1	1	NUM
cana-1281	214	53	:	:	PUNCT
cana-1281	214	54	return	return	VERB
cana-1281	214	55	true	true	ADJ
cana-1281	214	56	//	//	NOUN
cana-1281	214	57	transaction	transaction	NOUN
cana-1281	214	58	is	be	AUX
cana-1281	214	59	valid	valid	ADJ
cana-1281	214	60	else	else	ADV
cana-1281	214	61	:	:	PUNCT
cana-1281	214	62	return	return	VERB
cana-1281	214	63	false	false	ADJ
cana-1281	214	64	//	//	NOUN
cana-1281	214	65	transaction	transaction	NOUN
cana-1281	214	66	is	be	AUX
cana-1281	214	67	invalid	invalid	ADJ
cana-1281	214	68	function	function	NOUN
cana-1281	214	69	updateblockchain(ledger	updateblockchain(ledger	NOUN
cana-1281	214	70	,	,	PUNCT
cana-1281	214	71	transaction	transaction	NOUN
cana-1281	214	72	):	):	PUNCT
cana-1281	214	73	if	if	SCONJ
cana-1281	214	74	validatetransaction(transaction	validatetransaction(transaction	PROPN
cana-1281	214	75	,	,	PUNCT
cana-1281	214	76	trained_svm_model	trained_svm_model	PROPN
cana-1281	214	77	)	)	PUNCT
cana-1281	214	78	=	=	NOUN
cana-1281	215	1	=	=	NOUN
cana-1281	215	2	true	true	ADJ
cana-1281	215	3	:	:	PUNCT
cana-1281	215	4	ledger.add(transaction	ledger.add(transaction	NOUN
cana-1281	215	5	)	)	PUNCT
cana-1281	215	6	return	return	NOUN
cana-1281	215	7	"	"	PUNCT
cana-1281	215	8	transaction	transaction	NOUN
cana-1281	215	9	recorded	record	VERB
cana-1281	215	10	successfully	successfully	ADV
cana-1281	215	11	"	"	PUNCT
cana-1281	215	12	else	else	ADV
cana-1281	215	13	:	:	PUNCT
cana-1281	215	14	return	return	VERB
cana-1281	215	15	"	"	PUNCT
cana-1281	215	16	transaction	transaction	NOUN
cana-1281	215	17	rejected	reject	VERB
cana-1281	215	18	"	"	PUNCT
cana-1281	215	19	function	function	NOUN
cana-1281	215	20	processtransaction(transaction	processtransaction(transaction	PROPN
cana-1281	215	21	,	,	PUNCT
cana-1281	215	22	ledger	ledger	NOUN
cana-1281	215	23	):	):	PUNCT
cana-1281	215	24	result	result	NOUN
cana-1281	215	25	=	=	SYM
cana-1281	215	26	updateblockchain(ledger	updateblockchain(ledger	NOUN
cana-1281	215	27	,	,	PUNCT
cana-1281	215	28	transaction	transaction	NOUN
cana-1281	215	29	)	)	PUNCT
cana-1281	215	30	output	output	NOUN
cana-1281	215	31	result	result	NOUN
cana-1281	215	32	//	//	NUM
cana-1281	215	33	main	main	ADJ
cana-1281	215	34	execution	execution	NOUN
cana-1281	215	35	loop	loop	NOUN
cana-1281	215	36	ledger	ledger	NOUN
cana-1281	215	37	=	=	SYM
cana-1281	215	38	initializeemptyledger	initializeemptyledger	NOUN
cana-1281	215	39	(	(	PUNCT
cana-1281	215	40	)	)	PUNCT
cana-1281	215	41	trained_svm_model	trained_svm_model	PROPN
cana-1281	215	42	=	=	SYM
cana-1281	215	43	loadtrainedsvmmodel	loadtrainedsvmmodel	PROPN
cana-1281	215	44	(	(	PUNCT
cana-1281	215	45	)	)	PUNCT
cana-1281	215	46	while	while	SCONJ
cana-1281	215	47	true	true	ADJ
cana-1281	215	48	:	:	PUNCT
cana-1281	215	49	transaction	transaction	NOUN
cana-1281	215	50	=	=	SYM
cana-1281	215	51	receivenewtransaction	receivenewtransaction	NOUN
cana-1281	215	52	(	(	PUNCT
cana-1281	215	53	)	)	PUNCT
cana-1281	215	54	processtransaction(transaction	processtransaction(transaction	PROPN
cana-1281	215	55	,	,	PUNCT
cana-1281	215	56	ledger	ledger	NOUN
cana-1281	215	57	)	)	PUNCT
cana-1281	215	58	4	4	NUM
cana-1281	215	59	.	.	PUNCT
cana-1281	215	60	performance	performance	NOUN
cana-1281	215	61	evaluation	evaluation	NOUN
cana-1281	215	62	the	the	DET
cana-1281	215	63	research	research	NOUN
cana-1281	215	64	merging	merge	VERB
cana-1281	215	65	support	support	NOUN
cana-1281	215	66	vector	vector	NOUN
cana-1281	215	67	machines	machine	NOUN
cana-1281	215	68	(	(	PUNCT
cana-1281	215	69	svm	svm	PROPN
cana-1281	215	70	)	)	PUNCT
cana-1281	215	71	with	with	ADP
cana-1281	215	72	blockchain	blockchain	PROPN
cana-1281	215	73	technology	technology	PROPN
cana-1281	215	74	simulated	simulate	VERB
cana-1281	215	75	and	and	CCONJ
cana-1281	215	76	modeled	model	VERB
cana-1281	215	77	matlab	matlab	PROPN
cana-1281	215	78	and	and	CCONJ
cana-1281	215	79	python	python	PROPN
cana-1281	215	80	.	.	PUNCT
cana-1281	216	1	the	the	DET
cana-1281	216	2	simulation	simulation	NOUN
cana-1281	216	3	environment	environment	NOUN
cana-1281	216	4	was	be	AUX
cana-1281	216	5	configured	configure	VERB
cana-1281	216	6	with	with	ADP
cana-1281	216	7	an	an	DET
cana-1281	216	8	intel	intel	PROPN
cana-1281	216	9	core	core	NOUN
cana-1281	216	10	i7	i7	NOUN
cana-1281	216	11	cpu	cpu	NOUN
cana-1281	216	12	with	with	ADP
cana-1281	216	13	16	16	NUM
cana-1281	216	14	gb	gb	NOUN
cana-1281	216	15	of	of	ADP
cana-1281	216	16	ram	ram	NOUN
cana-1281	216	17	on	on	ADP
cana-1281	216	18	a	a	DET
cana-1281	216	19	high	high	ADJ
cana-1281	216	20	-	-	PUNCT
cana-1281	216	21	performance	performance	NOUN
cana-1281	216	22	computer	computer	NOUN
cana-1281	216	23	cluster	cluster	NOUN
cana-1281	216	24	in	in	ADP
cana-1281	216	25	order	order	NOUN
cana-1281	216	26	to	to	PART
cana-1281	216	27	control	control	VERB
cana-1281	216	28	the	the	DET
cana-1281	216	29	computing	computing	NOUN
cana-1281	216	30	needs	need	NOUN
cana-1281	216	31	of	of	ADP
cana-1281	216	32	big	big	ADJ
cana-1281	216	33	-	-	PUNCT
cana-1281	216	34	scale	scale	NOUN
cana-1281	216	35	data	datum	NOUN
cana-1281	216	36	processing	processing	NOUN
cana-1281	216	37	and	and	CCONJ
cana-1281	216	38	svm	svm	ADJ
cana-1281	216	39	training	training	NOUN
cana-1281	216	40	.	.	PUNCT
cana-1281	217	1	designed	design	VERB
cana-1281	217	2	to	to	PART
cana-1281	217	3	assess	assess	VERB
cana-1281	217	4	ledger	ledger	NOUN
cana-1281	217	5	updates	update	NOUN
cana-1281	217	6	and	and	CCONJ
cana-1281	217	7	communications	communication	NOUN
cana-1281	217	8	on	on	ADP
cana-1281	217	9	applied	apply	VERB
cana-1281	217	10	nonlinear	nonlinear	ADJ
cana-1281	217	11	analysis	analysis	NOUN
cana-1281	217	12	issn	issn	NOUN
cana-1281	217	13	:	:	PUNCT
cana-1281	217	14	1074	1074	NUM
cana-1281	217	15	-	-	PUNCT
cana-1281	217	16	133x	133x	NUM
cana-1281	217	17	vol	vol	NOUN
cana-1281	217	18	31	31	NUM
cana-1281	217	19	no	no	NOUN
cana-1281	217	20	.	.	PUNCT
cana-1281	218	1	7s	7	NOUN
cana-1281	218	2	(	(	PUNCT
cana-1281	218	3	2024	2024	NUM
cana-1281	218	4	)	)	PUNCT
cana-1281	218	5	32	32	NUM
cana-1281	218	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	218	7	transaction	transaction	NOUN
cana-1281	218	8	validation	validation	NOUN
cana-1281	218	9	,	,	PUNCT
cana-1281	218	10	the	the	DET
cana-1281	218	11	blockchain	blockchain	PROPN
cana-1281	218	12	element	element	NOUN
cana-1281	218	13	was	be	AUX
cana-1281	218	14	built	build	VERB
cana-1281	218	15	on	on	ADP
cana-1281	218	16	a	a	DET
cana-1281	218	17	private	private	ADJ
cana-1281	218	18	ethereum	ethereum	NOUN
cana-1281	218	19	network	network	NOUN
cana-1281	218	20	.	.	PUNCT
cana-1281	219	1	the	the	DET
cana-1281	219	2	svm	svm	PROPN
cana-1281	219	3	model	model	NOUN
cana-1281	219	4	was	be	AUX
cana-1281	219	5	trained	train	VERB
cana-1281	219	6	with	with	ADP
cana-1281	219	7	radial	radial	ADJ
cana-1281	219	8	basis	basis	NOUN
cana-1281	219	9	function	function	NOUN
cana-1281	219	10	(	(	PUNCT
cana-1281	219	11	rbf	rbf	PROPN
cana-1281	219	12	)	)	PUNCT
cana-1281	219	13	kernel	kernel	PROPN
cana-1281	219	14	since	since	SCONJ
cana-1281	219	15	it	it	PRON
cana-1281	219	16	is	be	AUX
cana-1281	219	17	rather	rather	ADV
cana-1281	219	18	good	good	ADJ
cana-1281	219	19	at	at	ADP
cana-1281	219	20	controlling	control	VERB
cana-1281	219	21	nonlinear	nonlinear	ADJ
cana-1281	219	22	data	datum	NOUN
cana-1281	219	23	patterns	pattern	NOUN
cana-1281	219	24	.	.	PUNCT
cana-1281	220	1	aiming	aim	VERB
cana-1281	220	2	for	for	ADP
cana-1281	220	3	the	the	DET
cana-1281	220	4	accuracy	accuracy	NOUN
cana-1281	220	5	and	and	CCONJ
cana-1281	220	6	efficiency	efficiency	NOUN
cana-1281	220	7	of	of	ADP
cana-1281	220	8	transaction	transaction	NOUN
cana-1281	220	9	validation	validation	NOUN
cana-1281	220	10	,	,	PUNCT
cana-1281	220	11	the	the	DET
cana-1281	220	12	research	research	NOUN
cana-1281	220	13	evaluated	evaluate	VERB
cana-1281	220	14	the	the	DET
cana-1281	220	15	model	model	NOUN
cana-1281	220	16	's	's	PART
cana-1281	220	17	performance	performance	NOUN
cana-1281	220	18	on	on	ADP
cana-1281	220	19	a	a	DET
cana-1281	220	20	dataset	dataset	NOUN
cana-1281	220	21	of	of	ADP
cana-1281	220	22	medical	medical	ADJ
cana-1281	220	23	transactions	transaction	NOUN
cana-1281	220	24	.	.	PUNCT
cana-1281	221	1	the	the	DET
cana-1281	221	2	proposed	propose	VERB
cana-1281	221	3	svm	svm	PROPN
cana-1281	221	4	-	-	PUNCT
cana-1281	221	5	based	base	VERB
cana-1281	221	6	blockchain	blockchain	NOUN
cana-1281	221	7	integration	integration	NOUN
cana-1281	221	8	was	be	AUX
cana-1281	221	9	assessed	assess	VERB
cana-1281	221	10	using	use	VERB
cana-1281	221	11	several	several	ADJ
cana-1281	221	12	key	key	ADJ
cana-1281	221	13	parameters	parameter	NOUN
cana-1281	221	14	including	include	VERB
cana-1281	221	15	accuracy	accuracy	NOUN
cana-1281	221	16	,	,	PUNCT
cana-1281	221	17	precision	precision	NOUN
cana-1281	221	18	,	,	PUNCT
cana-1281	221	19	recall	recall	NOUN
cana-1281	221	20	,	,	PUNCT
cana-1281	221	21	f1	f1	NOUN
cana-1281	221	22	-	-	PUNCT
cana-1281	221	23	score	score	NOUN
cana-1281	221	24	,	,	PUNCT
cana-1281	221	25	and	and	CCONJ
cana-1281	221	26	computational	computational	ADJ
cana-1281	221	27	efficiency	efficiency	NOUN
cana-1281	221	28	—	—	PUNCT
cana-1281	221	29	time	time	NOUN
cana-1281	221	30	consumed	consume	VERB
cana-1281	221	31	for	for	ADP
cana-1281	221	32	transaction	transaction	NOUN
cana-1281	221	33	validation	validation	NOUN
cana-1281	221	34	.	.	PUNCT
cana-1281	222	1	while	while	SCONJ
cana-1281	222	2	accuracy	accuracy	NOUN
cana-1281	222	3	gauged	gauge	VERB
cana-1281	222	4	the	the	DET
cana-1281	222	5	proportion	proportion	NOUN
cana-1281	222	6	of	of	ADP
cana-1281	222	7	accurately	accurately	ADV
cana-1281	222	8	classified	classify	VERB
cana-1281	222	9	transactions	transaction	NOUN
cana-1281	222	10	,	,	PUNCT
cana-1281	222	11	precision	precision	NOUN
cana-1281	222	12	and	and	CCONJ
cana-1281	222	13	recall	recall	NOUN
cana-1281	222	14	assessed	assess	VERB
cana-1281	222	15	the	the	DET
cana-1281	222	16	model	model	NOUN
cana-1281	222	17	's	's	PART
cana-1281	222	18	ability	ability	NOUN
cana-1281	222	19	to	to	PART
cana-1281	222	20	adequately	adequately	ADV
cana-1281	222	21	identify	identify	VERB
cana-1281	222	22	real	real	ADJ
cana-1281	222	23	-	-	PUNCT
cana-1281	222	24	world	world	NOUN
cana-1281	222	25	transactions	transaction	NOUN
cana-1281	222	26	and	and	CCONJ
cana-1281	222	27	reduce	reduce	VERB
cana-1281	222	28	false	false	ADJ
cana-1281	222	29	positives	positive	NOUN
cana-1281	222	30	and	and	CCONJ
cana-1281	222	31	negatives	negative	NOUN
cana-1281	222	32	correspondingly	correspondingly	ADV
cana-1281	222	33	.	.	PUNCT
cana-1281	223	1	the	the	DET
cana-1281	223	2	f1	f1	NOUN
cana-1281	223	3	-	-	PUNCT
cana-1281	223	4	score	score	NOUN
cana-1281	223	5	proposed	propose	VERB
cana-1281	223	6	a	a	DET
cana-1281	223	7	conflicting	conflicting	ADJ
cana-1281	223	8	evaluation	evaluation	NOUN
cana-1281	223	9	of	of	ADP
cana-1281	223	10	memory	memory	NOUN
cana-1281	223	11	and	and	CCONJ
cana-1281	223	12	accuracy	accuracy	NOUN
cana-1281	223	13	.	.	PUNCT
cana-1281	224	1	average	average	ADJ
cana-1281	224	2	transaction	transaction	NOUN
cana-1281	224	3	processing	processing	NOUN
cana-1281	224	4	and	and	CCONJ
cana-1281	224	5	validation	validation	NOUN
cana-1281	224	6	times	time	NOUN
cana-1281	224	7	let	let	VERB
cana-1281	224	8	one	one	PRON
cana-1281	224	9	investigate	investigate	VERB
cana-1281	224	10	computing	computing	NOUN
cana-1281	224	11	efficiency	efficiency	NOUN
cana-1281	224	12	.	.	PUNCT
cana-1281	225	1	the	the	DET
cana-1281	225	2	proposed	propose	VERB
cana-1281	225	3	one	one	NOUN
cana-1281	225	4	was	be	AUX
cana-1281	225	5	tested	test	VERB
cana-1281	225	6	against	against	ADP
cana-1281	225	7	already	already	ADV
cana-1281	225	8	in	in	ADP
cana-1281	225	9	use	use	NOUN
cana-1281	225	10	methods	method	NOUN
cana-1281	225	11	including	include	VERB
cana-1281	225	12	mlo	mlo	PROPN
cana-1281	225	13	-	-	PUNCT
cana-1281	225	14	svr	svr	NOUN
cana-1281	225	15	-	-	PUNCT
cana-1281	225	16	bar	bar	NOUN
cana-1281	225	17	,	,	PUNCT
cana-1281	225	18	cps	cps	PROPN
cana-1281	225	19	-	-	PUNCT
cana-1281	225	20	pur	pur	PROPN
cana-1281	225	21	,	,	PUNCT
cana-1281	225	22	bhsc	bhsc	NOUN
cana-1281	225	23	,	,	PUNCT
cana-1281	225	24	and	and	CCONJ
cana-1281	225	25	bt	bt	NOUN
cana-1281	225	26	-	-	PUNCT
cana-1281	225	27	xgboost	xgboost	NOUN
cana-1281	225	28	.	.	PUNCT
cana-1281	226	1	although	although	SCONJ
cana-1281	226	2	bhsc	bhsc	NOUN
cana-1281	226	3	and	and	CCONJ
cana-1281	226	4	bt	bt	NOUN
cana-1281	226	5	-	-	ADJ
cana-1281	226	6	xgboost	xgboost	VERB
cana-1281	226	7	use	use	NOUN
cana-1281	226	8	boosted	boost	VERB
cana-1281	226	9	trees	tree	NOUN
cana-1281	226	10	and	and	CCONJ
cana-1281	226	11	hybrid	hybrid	NOUN
cana-1281	226	12	blockchain	blockchain	PROPN
cana-1281	226	13	security	security	NOUN
cana-1281	226	14	controls	control	NOUN
cana-1281	226	15	,	,	PUNCT
cana-1281	226	16	mlo	mlo	PROPN
cana-1281	226	17	-	-	PUNCT
cana-1281	226	18	svr	svr	NOUN
cana-1281	226	19	-	-	PUNCT
cana-1281	226	20	bar	bar	NOUN
cana-1281	226	21	and	and	CCONJ
cana-1281	226	22	cps	cps	PROPN
cana-1281	226	23	-	-	PUNCT
cana-1281	226	24	pur	pur	NOUN
cana-1281	226	25	are	be	AUX
cana-1281	226	26	noteworthy	noteworthy	ADJ
cana-1281	226	27	for	for	ADP
cana-1281	226	28	their	their	PRON
cana-1281	226	29	integration	integration	NOUN
cana-1281	226	30	of	of	ADP
cana-1281	226	31	machine	machine	NOUN
cana-1281	226	32	learning	learning	NOUN
cana-1281	226	33	and	and	CCONJ
cana-1281	226	34	support	support	VERB
cana-1281	226	35	vector	vector	NOUN
cana-1281	226	36	regression	regression	NOUN
cana-1281	226	37	for	for	ADP
cana-1281	226	38	blockchain	blockchain	PROPN
cana-1281	226	39	uses	use	NOUN
cana-1281	226	40	.	.	PUNCT
cana-1281	227	1	table	table	NOUN
cana-1281	227	2	3	3	NUM
cana-1281	227	3	:	:	PUNCT
cana-1281	227	4	experimental	experimental	ADJ
cana-1281	227	5	setup	setup	NOUN
cana-1281	227	6	/	/	SYM
cana-1281	227	7	parameters	parameter	NOUN
cana-1281	227	8	parameter	parameter	NOUN
cana-1281	227	9	value	value	NOUN
cana-1281	227	10	simulation	simulation	NOUN
cana-1281	227	11	tool	tool	PROPN
cana-1281	227	12	matlab	matlab	PROPN
cana-1281	227	13	,	,	PUNCT
cana-1281	227	14	python	python	NOUN
cana-1281	227	15	computers	computer	NOUN
cana-1281	227	16	used	use	VERB
cana-1281	227	17	intel	intel	PROPN
cana-1281	227	18	core	core	NOUN
cana-1281	227	19	i7	i7	NOUN
cana-1281	227	20	,	,	PUNCT
cana-1281	227	21	16	16	NUM
cana-1281	227	22	gb	gb	NOUN
cana-1281	227	23	ram	ram	NOUN
cana-1281	227	24	blockchain	blockchain	PROPN
cana-1281	227	25	platform	platform	PROPN
cana-1281	227	26	private	private	ADJ
cana-1281	227	27	ethereum	ethereum	NOUN
cana-1281	227	28	network	network	NOUN
cana-1281	227	29	svm	svm	PROPN
cana-1281	227	30	kernel	kernel	PROPN
cana-1281	227	31	type	type	NOUN
cana-1281	227	32	radial	radial	ADJ
cana-1281	227	33	basis	basis	NOUN
cana-1281	227	34	function	function	NOUN
cana-1281	227	35	(	(	PUNCT
cana-1281	227	36	rbf	rbf	PROPN
cana-1281	227	37	)	)	PUNCT
cana-1281	227	38	training	training	NOUN
cana-1281	227	39	dataset	dataset	NOUN
cana-1281	227	40	size	size	NOUN
cana-1281	227	41	10,000	10,000	NUM
cana-1281	227	42	transactions	transaction	NOUN
cana-1281	227	43	test	test	NOUN
cana-1281	227	44	dataset	dataset	VERB
cana-1281	227	45	size	size	NOUN
cana-1281	227	46	2,000	2,000	NUM
cana-1281	227	47	transactions	transaction	NOUN
cana-1281	227	48	regularization	regularization	NOUN
cana-1281	227	49	parameter	parameter	NOUN
cana-1281	227	50	(	(	PUNCT
cana-1281	227	51	c	c	NOUN
cana-1281	227	52	)	)	PUNCT
cana-1281	227	53	1.0	1.0	NUM
cana-1281	227	54	kernel	kernel	PROPN
cana-1281	227	55	parameter	parameter	NOUN
cana-1281	227	56	(	(	PUNCT
cana-1281	227	57	σ	σ	NOUN
cana-1281	227	58	)	)	PUNCT
cana-1281	227	59	0.5	0.5	NUM
cana-1281	227	60	learning	learning	NOUN
cana-1281	227	61	rate	rate	NOUN
cana-1281	227	62	(	(	PUNCT
cana-1281	227	63	for	for	ADP
cana-1281	227	64	svm	svm	ADJ
cana-1281	227	65	)	)	PUNCT
cana-1281	227	66	0.01	0.01	NUM
cana-1281	227	67	batch	batch	NOUN
cana-1281	227	68	size	size	NOUN
cana-1281	227	69	32	32	NUM
cana-1281	227	70	epochs	epoch	NOUN
cana-1281	227	71	50	50	NUM
cana-1281	227	72	transaction	transaction	NOUN
cana-1281	227	73	validation	validation	NOUN
cana-1281	227	74	time	time	NOUN
cana-1281	227	75	average	average	ADJ
cana-1281	227	76	0.5	0.5	NUM
cana-1281	227	77	seconds	second	NOUN
cana-1281	227	78	per	per	ADP
cana-1281	227	79	transaction	transaction	NOUN
cana-1281	227	80	number	number	NOUN
cana-1281	227	81	of	of	ADP
cana-1281	227	82	support	support	NOUN
cana-1281	227	83	vectors	vector	NOUN
cana-1281	227	84	500	500	NUM
cana-1281	227	85	4.1	4.1	NUM
cana-1281	227	86	.	.	PUNCT
cana-1281	228	1	performance	performance	NOUN
cana-1281	228	2	metrics	metric	NOUN
cana-1281	228	3	1	1	NUM
cana-1281	228	4	.	.	PUNCT
cana-1281	228	5	accuracy	accuracy	NOUN
cana-1281	228	6	:	:	PUNCT
cana-1281	228	7	out	out	ADP
cana-1281	228	8	of	of	ADP
cana-1281	228	9	all	all	DET
cana-1281	228	10	the	the	DET
cana-1281	228	11	transactions	transaction	NOUN
cana-1281	228	12	,	,	PUNCT
cana-1281	228	13	accuracy	accuracy	NOUN
cana-1281	228	14	determines	determine	VERB
cana-1281	228	15	the	the	DET
cana-1281	228	16	proportion	proportion	NOUN
cana-1281	228	17	of	of	ADP
cana-1281	228	18	correctly	correctly	ADV
cana-1281	228	19	classified	classified	ADJ
cana-1281	228	20	ones	one	NOUN
cana-1281	228	21	.	.	PUNCT
cana-1281	229	1	it	it	PRON
cana-1281	229	2	came	come	VERB
cana-1281	229	3	out	out	ADP
cana-1281	229	4	as	as	ADP
cana-1281	229	5	:	:	PUNCT
cana-1281	229	6	true	true	ADJ
cana-1281	229	7	positives	positive	NOUN
cana-1281	229	8	true	true	ADJ
cana-1281	229	9	negatives	negative	NOUN
cana-1281	229	10	accuracy	accuracy	NOUN
cana-1281	229	11	total	total	ADJ
cana-1281	229	12	number	number	NOUN
cana-1281	229	13	of	of	ADP
cana-1281	229	14	transactions	transaction	NOUN
cana-1281	229	15	+	+	CCONJ
cana-1281	229	16	=	=	SYM
cana-1281	229	17	more	more	ADJ
cana-1281	229	18	of	of	ADP
cana-1281	229	19	both	both	CCONJ
cana-1281	229	20	valid	valid	ADJ
cana-1281	229	21	and	and	CCONJ
cana-1281	229	22	invalid	invalid	ADJ
cana-1281	229	23	transactions	transaction	NOUN
cana-1281	229	24	can	can	AUX
cana-1281	229	25	be	be	AUX
cana-1281	229	26	detected	detect	VERB
cana-1281	229	27	by	by	ADP
cana-1281	229	28	the	the	DET
cana-1281	229	29	model	model	NOUN
cana-1281	229	30	with	with	ADP
cana-1281	229	31	higher	high	ADJ
cana-1281	229	32	accuracy	accuracy	NOUN
cana-1281	229	33	.	.	PUNCT
cana-1281	230	1	2	2	X
cana-1281	230	2	.	.	X
cana-1281	230	3	precision	precision	NOUN
cana-1281	230	4	:	:	PUNCT
cana-1281	230	5	precision	precision	NOUN
cana-1281	230	6	gauges	gauge	VERB
cana-1281	230	7	,	,	PUNCT
cana-1281	230	8	among	among	ADP
cana-1281	230	9	all	all	DET
cana-1281	230	10	the	the	DET
cana-1281	230	11	positive	positive	ADJ
cana-1281	230	12	transactions	transaction	NOUN
cana-1281	230	13	the	the	DET
cana-1281	230	14	model	model	NOUN
cana-1281	230	15	detects	detect	NOUN
cana-1281	230	16	as	as	ADP
cana-1281	230	17	such	such	ADJ
cana-1281	230	18	,	,	PUNCT
cana-1281	230	19	the	the	DET
cana-1281	230	20	proportion	proportion	NOUN
cana-1281	230	21	of	of	ADP
cana-1281	230	22	real	real	ADJ
cana-1281	230	23	positive	positive	ADJ
cana-1281	230	24	ones	one	NOUN
cana-1281	230	25	.	.	PUNCT
cana-1281	231	1	it	it	PRON
cana-1281	231	2	comes	come	VERB
cana-1281	231	3	from	from	ADP
cana-1281	231	4	:	:	PUNCT
cana-1281	231	5	communications	communication	NOUN
cana-1281	231	6	on	on	ADP
cana-1281	231	7	applied	apply	VERB
cana-1281	231	8	nonlinear	nonlinear	ADJ
cana-1281	231	9	analysis	analysis	NOUN
cana-1281	231	10	issn	issn	NOUN
cana-1281	231	11	:	:	PUNCT
cana-1281	231	12	1074	1074	NUM
cana-1281	231	13	-	-	PUNCT
cana-1281	231	14	133x	133x	NUM
cana-1281	231	15	vol	vol	NOUN
cana-1281	231	16	31	31	NUM
cana-1281	231	17	no	no	NOUN
cana-1281	231	18	.	.	PUNCT
cana-1281	232	1	7s	7	NOUN
cana-1281	232	2	(	(	PUNCT
cana-1281	232	3	2024	2024	NUM
cana-1281	232	4	)	)	PUNCT
cana-1281	232	5	33	33	NUM
cana-1281	232	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1281	232	7	true	true	ADJ
cana-1281	232	8	positives	positive	NOUN
cana-1281	232	9	precision	precision	VERB
cana-1281	232	10	true	true	ADJ
cana-1281	232	11	positives	positive	NOUN
cana-1281	232	12	false	false	ADJ
cana-1281	232	13	positives	positive	NOUN
cana-1281	232	14	=	=	X
cana-1281	233	1	+	+	CCONJ
cana-1281	233	2	when	when	SCONJ
cana-1281	233	3	a	a	DET
cana-1281	233	4	transaction	transaction	NOUN
cana-1281	233	5	is	be	AUX
cana-1281	233	6	marked	mark	VERB
cana-1281	233	7	as	as	ADP
cana-1281	233	8	real	real	ADJ
cana-1281	233	9	,	,	PUNCT
cana-1281	233	10	high	high	ADJ
cana-1281	233	11	precision	precision	NOUN
cana-1281	233	12	suggests	suggest	VERB
cana-1281	233	13	that	that	SCONJ
cana-1281	233	14	the	the	DET
cana-1281	233	15	model	model	NOUN
cana-1281	233	16	is	be	AUX
cana-1281	233	17	most	most	ADV
cana-1281	233	18	likely	likely	ADV
cana-1281	233	19	accurate	accurate	ADJ
cana-1281	233	20	,	,	PUNCT
cana-1281	233	21	therefore	therefore	ADV
cana-1281	233	22	reducing	reduce	VERB
cana-1281	233	23	false	false	ADJ
cana-1281	233	24	positives	positive	NOUN
cana-1281	233	25	.	.	PUNCT
cana-1281	234	1	3	3	X
cana-1281	234	2	.	.	X
cana-1281	234	3	recall	recall	NOUN
cana-1281	234	4	:	:	PUNCT
cana-1281	234	5	out	out	ADP
cana-1281	234	6	of	of	ADP
cana-1281	234	7	all	all	DET
cana-1281	234	8	the	the	DET
cana-1281	234	9	actual	actual	ADJ
cana-1281	234	10	positive	positive	ADJ
cana-1281	234	11	transactions	transaction	NOUN
cana-1281	234	12	,	,	PUNCT
cana-1281	234	13	recall	recall	VERB
cana-1281	234	14	measures	measure	NOUN
cana-1281	234	15	the	the	DET
cana-1281	234	16	percentage	percentage	NOUN
cana-1281	234	17	of	of	ADP
cana-1281	234	18	genuine	genuine	ADJ
cana-1281	234	19	positive	positive	ADJ
cana-1281	234	20	transactions	transaction	NOUN
cana-1281	234	21	the	the	DET
cana-1281	234	22	model	model	NOUN
cana-1281	234	23	detects	detect	NOUN
cana-1281	234	24	.	.	PUNCT
cana-1281	235	1	computes	compute	NOUN
cana-1281	235	2	as	as	SCONJ
cana-1281	235	3	follows	follow	VERB
cana-1281	235	4	:	:	PUNCT
cana-1281	235	5	true	true	ADJ
cana-1281	235	6	positives	positive	NOUN
cana-1281	235	7	recall	recall	VERB
cana-1281	235	8	true	true	ADJ
cana-1281	235	9	positives	positive	NOUN
cana-1281	235	10	false	false	ADJ
cana-1281	235	11	negatives	negative	NOUN
cana-1281	235	12	=	=	PUNCT
cana-1281	236	1	+	+	NUM
cana-1281	236	2	high	high	ADJ
cana-1281	236	3	recall	recall	NOUN
cana-1281	236	4	indicates	indicate	VERB
cana-1281	236	5	that	that	SCONJ
cana-1281	236	6	the	the	DET
cana-1281	236	7	model	model	NOUN
cana-1281	236	8	detects	detect	VERB
cana-1281	236	9	a	a	DET
cana-1281	236	10	notable	notable	ADJ
cana-1281	236	11	fraction	fraction	NOUN
cana-1281	236	12	of	of	ADP
cana-1281	236	13	valid	valid	ADJ
cana-1281	236	14	transactions	transaction	NOUN
cana-1281	236	15	successfully	successfully	ADV
cana-1281	236	16	,	,	PUNCT
cana-1281	236	17	hence	hence	ADV
cana-1281	236	18	reducing	reduce	VERB
cana-1281	236	19	false	false	ADJ
cana-1281	236	20	negatives	negative	NOUN
cana-1281	236	21	.	.	PUNCT
cana-1281	237	1	4	4	X
cana-1281	237	2	.	.	X
cana-1281	237	3	f1	f1	NOUN
cana-1281	237	4	-	-	PUNCT
cana-1281	237	5	score	score	NOUN
cana-1281	237	6	:	:	PUNCT
cana-1281	237	7	the	the	DET
cana-1281	237	8	f1	f1	NOUN
cana-1281	237	9	-	-	PUNCT
cana-1281	237	10	score	score	NOUN
cana-1281	237	11	provides	provide	VERB
cana-1281	237	12	a	a	DET
cana-1281	237	13	reasonable	reasonable	ADJ
cana-1281	237	14	assessment	assessment	NOUN
cana-1281	237	15	of	of	ADP
cana-1281	237	16	memory	memory	NOUN
cana-1281	237	17	and	and	CCONJ
cana-1281	237	18	accuracy	accuracy	NOUN
cana-1281	237	19	by	by	ADP
cana-1281	237	20	means	mean	NOUN
cana-1281	237	21	of	of	ADP
cana-1281	237	22	their	their	PRON
cana-1281	237	23	harmonic	harmonic	ADJ
cana-1281	237	24	mean	mean	NOUN
cana-1281	237	25	.	.	PUNCT
cana-1281	238	1	it	it	PRON
cana-1281	238	2	comes	come	VERB
cana-1281	238	3	out	out	ADP
cana-1281	238	4	to	to	PART
cana-1281	238	5	be	be	AUX
cana-1281	238	6	:	:	PUNCT
cana-1281	238	7	precision	precision	NOUN
cana-1281	238	8	recall	recall	NOUN
cana-1281	238	9	f1	f1	NOUN
cana-1281	238	10	-	-	PUNCT
cana-1281	238	11	score	score	NOUN
cana-1281	238	12	2	2	NUM
cana-1281	238	13	precision	precision	NOUN
cana-1281	238	14	recall	recall	VERB
cana-1281	238	15			PROPN
cana-1281	238	16	=	=	SYM
cana-1281	238	17			PROPN
cana-1281	238	18	+	+	CCONJ
cana-1281	238	19	particularly	particularly	ADV
cana-1281	238	20	in	in	ADP
cana-1281	238	21	cases	case	NOUN
cana-1281	238	22	with	with	ADP
cana-1281	238	23	imbalanced	imbalanced	ADJ
cana-1281	238	24	datasets	dataset	NOUN
cana-1281	238	25	,	,	PUNCT
cana-1281	238	26	the	the	DET
cana-1281	238	27	f1	f1	NOUN
cana-1281	238	28	-	-	PUNCT
cana-1281	238	29	score	score	NOUN
cana-1281	238	30	is	be	AUX
cana-1281	238	31	useful	useful	ADJ
cana-1281	238	32	for	for	ADP
cana-1281	238	33	evaluating	evaluate	VERB
cana-1281	238	34	models	model	NOUN
cana-1281	238	35	when	when	SCONJ
cana-1281	238	36	recall	recall	NOUN
cana-1281	238	37	and	and	CCONJ
cana-1281	238	38	accuracy	accuracy	NOUN
cana-1281	238	39	have	have	VERB
cana-1281	238	40	to	to	PART
cana-1281	238	41	be	be	AUX
cana-1281	238	42	harmonized	harmonize	VERB
cana-1281	238	43	.	.	PUNCT
cana-1281	239	1	5	5	X
cana-1281	239	2	.	.	PUNCT
cana-1281	239	3	computational	computational	ADJ
cana-1281	239	4	efficiency	efficiency	NOUN
cana-1281	239	5	:	:	PUNCT
cana-1281	239	6	then	then	ADV
cana-1281	239	7	,	,	PUNCT
cana-1281	239	8	computational	computational	ADJ
cana-1281	239	9	efficiency	efficiency	NOUN
cana-1281	239	10	is	be	AUX
cana-1281	239	11	the	the	DET
cana-1281	239	12	average	average	ADJ
cana-1281	239	13	time	time	NOUN
cana-1281	239	14	needed	need	VERB
cana-1281	239	15	to	to	PART
cana-1281	239	16	handle	handle	VERB
cana-1281	239	17	and	and	CCONJ
cana-1281	239	18	validate	validate	VERB
cana-1281	239	19	every	every	DET
cana-1281	239	20	transaction	transaction	NOUN
cana-1281	239	21	.	.	PUNCT
cana-1281	240	1	faster	fast	ADJ
cana-1281	240	2	transaction	transaction	NOUN
cana-1281	240	3	processing	processing	NOUN
cana-1281	240	4	by	by	ADP
cana-1281	240	5	the	the	DET
cana-1281	240	6	model	model	NOUN
cana-1281	240	7	predicts	predict	VERB
cana-1281	240	8	shorter	short	ADJ
cana-1281	240	9	computational	computational	ADJ
cana-1281	240	10	time	time	NOUN
cana-1281	240	11	,	,	PUNCT
cana-1281	240	12	which	which	PRON
cana-1281	240	13	is	be	AUX
cana-1281	240	14	very	very	ADV
cana-1281	240	15	necessary	necessary	ADJ
cana-1281	240	16	for	for	ADP
cana-1281	240	17	real	real	ADJ
cana-1281	240	18	-	-	PUNCT
cana-1281	240	19	time	time	NOUN
cana-1281	240	20	applications	application	NOUN
cana-1281	240	21	.	.	PUNCT
cana-1281	241	1	6	6	X
cana-1281	241	2	.	.	PUNCT
cana-1281	241	3	model	model	NOUN
cana-1281	241	4	training	training	NOUN
cana-1281	241	5	time	time	NOUN
cana-1281	241	6	:	:	PUNCT
cana-1281	241	7	calculating	calculate	VERB
cana-1281	241	8	the	the	DET
cana-1281	241	9	overall	overall	ADJ
cana-1281	241	10	training	training	NOUN
cana-1281	241	11	time	time	NOUN
cana-1281	241	12	required	require	VERB
cana-1281	241	13	for	for	ADP
cana-1281	241	14	the	the	DET
cana-1281	241	15	svm	svm	ADJ
cana-1281	241	16	model	model	NOUN
cana-1281	241	17	on	on	ADP
cana-1281	241	18	the	the	DET
cana-1281	241	19	provided	provide	VERB
cana-1281	241	20	dataset	dataset	NOUN
cana-1281	241	21	;	;	PUNCT
cana-1281	241	22	model	model	NOUN
cana-1281	241	23	training	training	NOUN
cana-1281	241	24	time	time	NOUN
cana-1281	241	25	spans	span	VERB
cana-1281	241	26	every	every	DET
cana-1281	241	27	epoch	epoch	NOUN
cana-1281	241	28	and	and	CCONJ
cana-1281	241	29	batch	batch	VERB
cana-1281	241	30	processing	processing	NOUN
cana-1281	241	31	timings	timing	NOUN
cana-1281	241	32	.	.	PUNCT
cana-1281	242	1	this	this	DET
cana-1281	242	2	statistic	statistic	NOUN
cana-1281	242	3	helps	help	VERB
cana-1281	242	4	one	one	NUM
cana-1281	242	5	to	to	PART
cana-1281	242	6	assess	assess	VERB
cana-1281	242	7	the	the	DET
cana-1281	242	8	feasibility	feasibility	NOUN
cana-1281	242	9	of	of	ADP
cana-1281	242	10	training	train	VERB
cana-1281	242	11	the	the	DET
cana-1281	242	12	model	model	NOUN
cana-1281	242	13	given	give	VERB
cana-1281	242	14	reasonable	reasonable	ADJ
cana-1281	242	15	time	time	NOUN
cana-1281	242	16	constraints	constraint	NOUN
cana-1281	242	17	.	.	PUNCT
cana-1281	243	1	4.2	4.2	NUM
cana-1281	243	2	.	.	PUNCT
cana-1281	243	3	results	result	NOUN
cana-1281	243	4	among	among	ADP
cana-1281	243	5	several	several	ADJ
cana-1281	243	6	parameters	parameter	NOUN
cana-1281	243	7	,	,	PUNCT
cana-1281	243	8	accuracy	accuracy	NOUN
cana-1281	243	9	,	,	PUNCT
cana-1281	243	10	precision	precision	NOUN
cana-1281	243	11	,	,	PUNCT
cana-1281	243	12	recall	recall	NOUN
cana-1281	243	13	,	,	PUNCT
cana-1281	243	14	f1	f1	NOUN
cana-1281	243	15	-	-	PUNCT
cana-1281	243	16	score	score	NOUN
cana-1281	243	17	,	,	PUNCT
cana-1281	243	18	computational	computational	ADJ
cana-1281	243	19	efficiency	efficiency	NOUN
cana-1281	243	20	(	(	PUNCT
cana-1281	243	21	ce	ce	PROPN
cana-1281	243	22	)	)	PUNCT
cana-1281	243	23	,	,	PUNCT
cana-1281	243	24	and	and	CCONJ
cana-1281	243	25	model	model	NOUN
cana-1281	243	26	training	training	NOUN
cana-1281	243	27	time	time	NOUN
cana-1281	243	28	(	(	PUNCT
cana-1281	243	29	mtt	mtt	NOUN
cana-1281	243	30	)	)	PUNCT
cana-1281	243	31	,	,	PUNCT
cana-1281	243	32	the	the	DET
cana-1281	243	33	experimental	experimental	ADJ
cana-1281	243	34	results	result	NOUN
cana-1281	243	35	in	in	ADP
cana-1281	243	36	figure	figure	NOUN
cana-1281	243	37	2–7	2–7	NUM
cana-1281	243	38	for	for	ADP
cana-1281	243	39	integrating	integrate	VERB
cana-1281	243	40	svm	svm	NOUN
cana-1281	243	41	with	with	ADP
cana-1281	243	42	blockchain	blockchain	PROPN
cana-1281	243	43	technology	technology	PROPN
cana-1281	243	44	exhibited	exhibit	VERB
cana-1281	243	45	notable	notable	ADJ
cana-1281	243	46	performance	performance	NOUN
cana-1281	243	47	qualities	quality	NOUN
cana-1281	243	48	.	.	PUNCT
cana-1281	244	1	these	these	DET
cana-1281	244	2	results	result	NOUN
cana-1281	244	3	are	be	AUX
cana-1281	244	4	evaluated	evaluate	VERB
cana-1281	244	5	across	across	ADP
cana-1281	244	6	50	50	NUM
cana-1281	244	7	iterations	iteration	NOUN
cana-1281	244	8	with	with	ADP
cana-1281	244	9	data	datum	NOUN
cana-1281	244	10	recorded	record	VERB
cana-1281	244	11	in	in	ADP
cana-1281	244	12	stages	stage	NOUN
cana-1281	244	13	of	of	ADP
cana-1281	244	14	10	10	NUM
cana-1281	244	15	iterations	iteration	NOUN
cana-1281	244	16	,	,	PUNCT
cana-1281	244	17	therefore	therefore	ADV
cana-1281	244	18	providing	provide	VERB
cana-1281	244	19	a	a	DET
cana-1281	244	20	comprehensive	comprehensive	ADJ
cana-1281	244	21	picture	picture	NOUN
cana-1281	244	22	of	of	ADP
cana-1281	244	23	the	the	DET
cana-1281	244	24	model	model	NOUN
cana-1281	244	25	's	's	PART
cana-1281	244	26	performance	performance	NOUN
cana-1281	244	27	under	under	ADP
cana-1281	244	28	several	several	ADJ
cana-1281	244	29	circumstances	circumstance	NOUN
cana-1281	244	30	.	.	PUNCT
cana-1281	245	1	figure	figure	VERB
cana-1281	245	2	2	2	NUM
cana-1281	245	3	:	:	PUNCT
cana-1281	245	4	accuracy	accuracy	NOUN
cana-1281	245	5	(	(	PUNCT
cana-1281	245	6	%	%	INTJ
cana-1281	245	7	)	)	PUNCT
cana-1281	245	8	communications	communication	NOUN
cana-1281	245	9	on	on	ADP
cana-1281	245	10	applied	apply	VERB
cana-1281	245	11	nonlinear	nonlinear	ADJ
cana-1281	245	12	analysis	analysis	NOUN
cana-1281	245	13	issn	issn	NOUN
cana-1281	245	14	:	:	PUNCT
cana-1281	245	15	1074	1074	NUM
cana-1281	245	16	-	-	PUNCT
cana-1281	245	17	133x	133x	NUM
cana-1281	245	18	vol	vol	NOUN
cana-1281	245	19	31	31	NUM
cana-1281	245	20	no	no	NOUN
cana-1281	245	21	.	.	PUNCT
cana-1281	246	1	7s	7	NOUN
cana-1281	246	2	(	(	PUNCT
cana-1281	246	3	2024	2024	NUM
cana-1281	246	4	)	)	PUNCT
cana-1281	246	5	34	34	NUM
cana-1281	246	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	246	7	figure	figure	NOUN
cana-1281	246	8	3	3	NUM
cana-1281	246	9	:	:	PUNCT
cana-1281	246	10	performance	performance	NOUN
cana-1281	246	11	on	on	ADP
cana-1281	246	12	the	the	DET
cana-1281	246	13	proposed	propose	VERB
cana-1281	246	14	methods	method	NOUN
cana-1281	246	15	on	on	ADP
cana-1281	246	16	various	various	ADJ
cana-1281	246	17	metrics	metric	NOUN
cana-1281	246	18	from	from	ADP
cana-1281	246	19	92.3	92.3	NUM
cana-1281	246	20	%	%	NOUN
cana-1281	246	21	in	in	ADP
cana-1281	246	22	the	the	DET
cana-1281	246	23	early	early	ADJ
cana-1281	246	24	iterations	iteration	NOUN
cana-1281	246	25	(	(	PUNCT
cana-1281	246	26	1–10	1–10	NOUN
cana-1281	246	27	)	)	PUNCT
cana-1281	246	28	to	to	ADP
cana-1281	246	29	93.4	93.4	NUM
cana-1281	246	30	%	%	NOUN
cana-1281	246	31	in	in	ADP
cana-1281	246	32	the	the	DET
cana-1281	246	33	later	late	ADJ
cana-1281	246	34	iterations	iteration	NOUN
cana-1281	246	35	(	(	PUNCT
cana-1281	246	36	41–50	41–50	NOUN
cana-1281	246	37	)	)	PUNCT
cana-1281	246	38	,	,	PUNCT
cana-1281	246	39	the	the	DET
cana-1281	246	40	proposed	propose	VERB
cana-1281	246	41	svmbased	svmbase	VERB
cana-1281	246	42	method	method	NOUN
cana-1281	246	43	routinely	routinely	ADV
cana-1281	246	44	achieved	achieve	VERB
cana-1281	246	45	remarkable	remarkable	ADJ
cana-1281	246	46	accuracy	accuracy	NOUN
cana-1281	246	47	.	.	PUNCT
cana-1281	247	1	this	this	PRON
cana-1281	247	2	indicates	indicate	VERB
cana-1281	247	3	that	that	SCONJ
cana-1281	247	4	the	the	DET
cana-1281	247	5	model	model	NOUN
cana-1281	247	6	correctly	correctly	ADV
cana-1281	247	7	classified	classify	VERB
cana-1281	247	8	a	a	DET
cana-1281	247	9	somewhat	somewhat	ADV
cana-1281	247	10	large	large	ADJ
cana-1281	247	11	proportion	proportion	NOUN
cana-1281	247	12	of	of	ADP
cana-1281	247	13	transactions	transaction	NOUN
cana-1281	247	14	as	as	ADP
cana-1281	247	15	either	either	CCONJ
cana-1281	247	16	genuine	genuine	ADJ
cana-1281	247	17	or	or	CCONJ
cana-1281	247	18	invalid	invalid	ADJ
cana-1281	247	19	.	.	PUNCT
cana-1281	248	1	while	while	SCONJ
cana-1281	248	2	cps	cps	PROPN
cana-1281	248	3	-	-	PUNCT
cana-1281	248	4	pur	pur	NOUN
cana-1281	248	5	and	and	CCONJ
cana-1281	248	6	bhsc	bhsc	NOUN
cana-1281	248	7	exhibited	exhibit	VERB
cana-1281	248	8	accuracy	accuracy	NOUN
cana-1281	248	9	between	between	ADP
cana-1281	248	10	90.0	90.0	NUM
cana-1281	248	11	%	%	NOUN
cana-1281	248	12	and	and	CCONJ
cana-1281	248	13	92.5	92.5	NUM
cana-1281	248	14	%	%	NOUN
cana-1281	248	15	,	,	PUNCT
cana-1281	248	16	modern	modern	ADJ
cana-1281	248	17	approaches	approach	NOUN
cana-1281	248	18	as	as	ADP
cana-1281	248	19	mlo	mlo	PROPN
cana-1281	248	20	-	-	PUNCT
cana-1281	248	21	svr	svr	NOUN
cana-1281	248	22	-	-	PUNCT
cana-1281	248	23	bar	bar	NOUN
cana-1281	248	24	displayed	display	VERB
cana-1281	248	25	somewhat	somewhat	ADV
cana-1281	248	26	lower	low	ADJ
cana-1281	248	27	accuracy	accuracy	NOUN
cana-1281	248	28	,	,	PUNCT
cana-1281	248	29	ranging	range	VERB
cana-1281	248	30	from	from	ADP
cana-1281	248	31	87.7	87.7	NUM
cana-1281	248	32	%	%	NOUN
cana-1281	248	33	to	to	ADP
cana-1281	248	34	88.5	88.5	NUM
cana-1281	248	35	%	%	NOUN
cana-1281	248	36	.	.	PUNCT
cana-1281	249	1	the	the	DET
cana-1281	249	2	bt	bt	ADJ
cana-1281	249	3	-	-	ADJ
cana-1281	249	4	xgboost	xgboost	ADJ
cana-1281	249	5	method	method	NOUN
cana-1281	249	6	demonstrated	demonstrate	VERB
cana-1281	249	7	accuracy	accuracy	NOUN
cana-1281	249	8	ranging	range	VERB
cana-1281	249	9	from	from	ADP
cana-1281	249	10	89.5	89.5	NUM
cana-1281	249	11	%	%	NOUN
cana-1281	249	12	to	to	PART
cana-1281	249	13	90.0	90.0	NUM
cana-1281	249	14	%	%	NOUN
cana-1281	249	15	,	,	PUNCT
cana-1281	249	16	but	but	CCONJ
cana-1281	249	17	competitive	competitive	ADJ
cana-1281	249	18	.	.	PUNCT
cana-1281	250	1	reflecting	reflect	VERB
cana-1281	250	2	its	its	PRON
cana-1281	250	3	effectiveness	effectiveness	NOUN
cana-1281	250	4	in	in	ADP
cana-1281	250	5	identifying	identify	VERB
cana-1281	250	6	both	both	CCONJ
cana-1281	250	7	legitimate	legitimate	ADJ
cana-1281	250	8	and	and	CCONJ
cana-1281	250	9	invalid	invalid	ADJ
cana-1281	250	10	transactions	transaction	NOUN
cana-1281	250	11	with	with	ADP
cana-1281	250	12	higher	high	ADJ
cana-1281	250	13	precision	precision	NOUN
cana-1281	250	14	,	,	PUNCT
cana-1281	250	15	the	the	DET
cana-1281	250	16	proposed	propose	VERB
cana-1281	250	17	svm	svm	ADJ
cana-1281	250	18	methodology	methodology	NOUN
cana-1281	250	19	thereby	thereby	ADV
cana-1281	250	20	outperforms	outperform	VERB
cana-1281	250	21	existing	exist	VERB
cana-1281	250	22	present	present	ADJ
cana-1281	250	23	methods	method	NOUN
cana-1281	250	24	.	.	PUNCT
cana-1281	251	1	precision	precision	NOUN
cana-1281	251	2	values	value	NOUN
cana-1281	251	3	for	for	ADP
cana-1281	251	4	the	the	DET
cana-1281	251	5	recommended	recommend	VERB
cana-1281	251	6	method	method	NOUN
cana-1281	251	7	were	be	AUX
cana-1281	251	8	from	from	ADP
cana-1281	251	9	89.7	89.7	NUM
cana-1281	251	10	%	%	NOUN
cana-1281	251	11	to	to	ADP
cana-1281	251	12	90.5	90.5	NUM
cana-1281	251	13	%	%	NOUN
cana-1281	251	14	,	,	PUNCT
cana-1281	251	15	therefore	therefore	ADV
cana-1281	251	16	proving	prove	VERB
cana-1281	251	17	its	its	PRON
cana-1281	251	18	ability	ability	NOUN
cana-1281	251	19	to	to	PART
cana-1281	251	20	appropriately	appropriately	ADV
cana-1281	251	21	categorize	categorize	VERB
cana-1281	251	22	actual	actual	ADJ
cana-1281	251	23	transactions	transaction	NOUN
cana-1281	251	24	when	when	SCONJ
cana-1281	251	25	so	so	ADV
cana-1281	251	26	specified	specify	VERB
cana-1281	251	27	.	.	PUNCT
cana-1281	252	1	the	the	DET
cana-1281	252	2	mlo	mlo	PROPN
cana-1281	252	3	-	-	PUNCT
cana-1281	252	4	svr	svr	NOUN
cana-1281	252	5	-	-	PUNCT
cana-1281	252	6	bar	bar	NOUN
cana-1281	252	7	approach	approach	NOUN
cana-1281	252	8	showed	show	VERB
cana-1281	252	9	a	a	DET
cana-1281	252	10	higher	high	ADJ
cana-1281	252	11	proportion	proportion	NOUN
cana-1281	252	12	of	of	ADP
cana-1281	252	13	false	false	ADJ
cana-1281	252	14	positives	positive	NOUN
cana-1281	252	15	with	with	ADP
cana-1281	252	16	reduced	reduced	ADJ
cana-1281	252	17	precision	precision	NOUN
cana-1281	252	18	values	value	NOUN
cana-1281	252	19	between	between	ADP
cana-1281	252	20	84.4	84.4	NUM
cana-1281	252	21	%	%	NOUN
cana-1281	252	22	and	and	CCONJ
cana-1281	252	23	85.3	85.3	NUM
cana-1281	252	24	%	%	NOUN
cana-1281	252	25	.	.	PUNCT
cana-1281	253	1	bt	bt	VERB
cana-1281	253	2	-	-	ADJ
cana-1281	253	3	xgboost	xgboost	PROPN
cana-1281	253	4	had	have	VERB
cana-1281	253	5	precision	precision	NOUN
cana-1281	253	6	levels	level	NOUN
cana-1281	253	7	ranging	range	VERB
cana-1281	253	8	from	from	ADP
cana-1281	253	9	84.6	84.6	NUM
cana-1281	253	10	%	%	NOUN
cana-1281	253	11	to	to	ADP
cana-1281	253	12	85.2	85.2	NUM
cana-1281	253	13	%	%	NOUN
cana-1281	253	14	;	;	PUNCT
cana-1281	253	15	cps	cps	PROPN
cana-1281	253	16	-	-	PUNCT
cana-1281	253	17	pur	pur	NOUN
cana-1281	253	18	and	and	CCONJ
cana-1281	253	19	bhsc	bhsc	NOUN
cana-1281	253	20	had	have	VERB
cana-1281	253	21	precision	precision	NOUN
cana-1281	253	22	values	value	NOUN
cana-1281	253	23	ranging	range	VERB
cana-1281	253	24	from	from	ADP
cana-1281	253	25	86.8	86.8	NUM
cana-1281	253	26	%	%	NOUN
cana-1281	253	27	to	to	ADP
cana-1281	253	28	88.8	88.8	NUM
cana-1281	253	29	%	%	NOUN
cana-1281	253	30	.	.	PUNCT
cana-1281	254	1	the	the	DET
cana-1281	254	2	proposed	propose	VERB
cana-1281	254	3	method	method	NOUN
cana-1281	254	4	is	be	AUX
cana-1281	254	5	more	more	ADV
cana-1281	254	6	reliable	reliable	ADJ
cana-1281	254	7	in	in	ADP
cana-1281	254	8	confirming	confirm	VERB
cana-1281	254	9	that	that	SCONJ
cana-1281	254	10	transactions	transaction	NOUN
cana-1281	254	11	identified	identify	VERB
cana-1281	254	12	as	as	ADP
cana-1281	254	13	legitimate	legitimate	ADJ
cana-1281	254	14	are	be	AUX
cana-1281	254	15	indeed	indeed	ADV
cana-1281	254	16	accurate	accurate	ADJ
cana-1281	254	17	since	since	SCONJ
cana-1281	254	18	its	its	PRON
cana-1281	254	19	improved	improved	ADJ
cana-1281	254	20	accuracy	accuracy	NOUN
cana-1281	254	21	suggests	suggest	VERB
cana-1281	254	22	less	less	ADV
cana-1281	254	23	false	false	ADJ
cana-1281	254	24	positives	positive	NOUN
cana-1281	254	25	.	.	PUNCT
cana-1281	255	1	communications	communication	NOUN
cana-1281	255	2	on	on	ADP
cana-1281	255	3	applied	apply	VERB
cana-1281	255	4	nonlinear	nonlinear	ADJ
cana-1281	255	5	analysis	analysis	NOUN
cana-1281	255	6	issn	issn	NOUN
cana-1281	255	7	:	:	PUNCT
cana-1281	255	8	1074	1074	NUM
cana-1281	255	9	-	-	PUNCT
cana-1281	255	10	133x	133x	NUM
cana-1281	255	11	vol	vol	NOUN
cana-1281	255	12	31	31	NUM
cana-1281	255	13	no	no	NOUN
cana-1281	255	14	.	.	PUNCT
cana-1281	256	1	7s	7	NOUN
cana-1281	256	2	(	(	PUNCT
cana-1281	256	3	2024	2024	NUM
cana-1281	256	4	)	)	PUNCT
cana-1281	256	5	35	35	NUM
cana-1281	256	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	256	7	with	with	ADP
cana-1281	256	8	a	a	DET
cana-1281	256	9	range	range	NOUN
cana-1281	256	10	of	of	ADP
cana-1281	256	11	90.1	90.1	NUM
cana-1281	256	12	%	%	NOUN
cana-1281	256	13	to	to	ADP
cana-1281	256	14	91.5	91.5	NUM
cana-1281	256	15	%	%	NOUN
cana-1281	256	16	,	,	PUNCT
cana-1281	256	17	recall	recall	VERB
cana-1281	256	18	for	for	ADP
cana-1281	256	19	the	the	DET
cana-1281	256	20	proposed	propose	VERB
cana-1281	256	21	method	method	NOUN
cana-1281	256	22	shows	show	VERB
cana-1281	256	23	that	that	SCONJ
cana-1281	256	24	the	the	DET
cana-1281	256	25	model	model	NOUN
cana-1281	256	26	effectively	effectively	ADV
cana-1281	256	27	found	find	VERB
cana-1281	256	28	a	a	DET
cana-1281	256	29	high	high	ADJ
cana-1281	256	30	proportion	proportion	NOUN
cana-1281	256	31	of	of	ADP
cana-1281	256	32	real	real	ADJ
cana-1281	256	33	-	-	PUNCT
cana-1281	256	34	time	time	NOUN
cana-1281	256	35	legal	legal	ADJ
cana-1281	256	36	transactions	transaction	NOUN
cana-1281	256	37	.	.	PUNCT
cana-1281	257	1	mlo	mlo	PROPN
cana-1281	257	2	-	-	PUNCT
cana-1281	257	3	svr	svr	NOUN
cana-1281	257	4	-	-	PUNCT
cana-1281	257	5	bar	bar	NOUN
cana-1281	257	6	demonstrated	demonstrate	VERB
cana-1281	257	7	a	a	DET
cana-1281	257	8	lower	low	ADJ
cana-1281	257	9	capacity	capacity	NOUN
cana-1281	257	10	in	in	ADP
cana-1281	257	11	identifying	identify	VERB
cana-1281	257	12	all	all	DET
cana-1281	257	13	valid	valid	ADJ
cana-1281	257	14	transactions	transaction	NOUN
cana-1281	257	15	with	with	ADP
cana-1281	257	16	recall	recall	NOUN
cana-1281	257	17	values	value	NOUN
cana-1281	257	18	between	between	ADP
cana-1281	257	19	86.5	86.5	NUM
cana-1281	257	20	%	%	NOUN
cana-1281	257	21	and	and	CCONJ
cana-1281	257	22	87.2	87.2	NUM
cana-1281	257	23	%	%	NOUN
cana-1281	257	24	,	,	PUNCT
cana-1281	257	25	by	by	ADP
cana-1281	257	26	comparison	comparison	NOUN
cana-1281	257	27	.	.	PUNCT
cana-1281	258	1	although	although	SCONJ
cana-1281	258	2	competitive	competitive	ADJ
cana-1281	258	3	,	,	PUNCT
cana-1281	258	4	cps	cp	NOUN
cana-1281	258	5	-	-	PUNCT
cana-1281	258	6	pur	pur	NOUN
cana-1281	258	7	and	and	CCONJ
cana-1281	258	8	bhsc	bhsc	NOUN
cana-1281	258	9	got	get	VERB
cana-1281	258	10	recall	recall	ADJ
cana-1281	258	11	values	value	NOUN
cana-1281	258	12	ranging	range	VERB
cana-1281	258	13	from	from	ADP
cana-1281	258	14	88.5	88.5	NUM
cana-1281	258	15	%	%	NOUN
cana-1281	258	16	to	to	ADP
cana-1281	258	17	90.4	90.4	NUM
cana-1281	258	18	%	%	NOUN
cana-1281	258	19	,	,	PUNCT
cana-1281	258	20	still	still	ADV
cana-1281	258	21	below	below	ADP
cana-1281	258	22	the	the	DET
cana-1281	258	23	recommended	recommend	VERB
cana-1281	258	24	approach	approach	NOUN
cana-1281	258	25	.	.	PUNCT
cana-1281	259	1	also	also	ADV
cana-1281	259	2	lagging	lag	VERB
cana-1281	259	3	behind	behind	ADP
cana-1281	259	4	bt	bt	NOUN
cana-1281	259	5	-	-	NOUN
cana-1281	259	6	xgboost	xgboost	NOUN
cana-1281	259	7	with	with	ADP
cana-1281	259	8	recall	recall	NOUN
cana-1281	259	9	values	value	NOUN
cana-1281	259	10	ranging	range	VERB
cana-1281	259	11	from	from	ADP
cana-1281	259	12	85.3	85.3	NUM
cana-1281	259	13	%	%	NOUN
cana-1281	259	14	to	to	ADP
cana-1281	259	15	85.8	85.8	NUM
cana-1281	259	16	%	%	NOUN
cana-1281	259	17	was	be	AUX
cana-1281	259	18	the	the	DET
cana-1281	259	19	greater	great	ADJ
cana-1281	259	20	recall	recall	NOUN
cana-1281	259	21	rate	rate	NOUN
cana-1281	259	22	of	of	ADP
cana-1281	259	23	the	the	DET
cana-1281	259	24	suggested	suggest	VERB
cana-1281	259	25	approach	approach	NOUN
cana-1281	259	26	illustrates	illustrate	VERB
cana-1281	259	27	its	its	PRON
cana-1281	259	28	excellence	excellence	NOUN
cana-1281	259	29	in	in	ADP
cana-1281	259	30	eliminating	eliminate	VERB
cana-1281	259	31	false	false	ADJ
cana-1281	259	32	negatives	negative	NOUN
cana-1281	259	33	and	and	CCONJ
cana-1281	259	34	recognizing	recognize	VERB
cana-1281	259	35	most	most	ADJ
cana-1281	259	36	of	of	ADP
cana-1281	259	37	the	the	DET
cana-1281	259	38	legitimate	legitimate	ADJ
cana-1281	259	39	transactions	transaction	NOUN
cana-1281	259	40	.	.	PUNCT
cana-1281	260	1	figure	figure	VERB
cana-1281	260	2	4	4	NUM
cana-1281	260	3	:	:	PUNCT
cana-1281	260	4	f1	f1	NOUN
cana-1281	260	5	-	-	PUNCT
cana-1281	260	6	score	score	NOUN
cana-1281	260	7	(	(	PUNCT
cana-1281	260	8	%	%	INTJ
cana-1281	260	9	)	)	PUNCT
cana-1281	260	10	figure	figure	NOUN
cana-1281	260	11	5	5	NUM
cana-1281	260	12	:	:	PUNCT
cana-1281	260	13	model	model	NOUN
cana-1281	260	14	training	training	NOUN
cana-1281	260	15	time	time	NOUN
cana-1281	260	16	(	(	PUNCT
cana-1281	260	17	mtt	mtt	NOUN
cana-1281	260	18	)	)	PUNCT
cana-1281	260	19	(	(	PUNCT
cana-1281	260	20	minutes	minute	NOUN
cana-1281	260	21	)	)	PUNCT
cana-1281	260	22	the	the	DET
cana-1281	260	23	f1	f1	NOUN
cana-1281	260	24	-	-	PUNCT
cana-1281	260	25	score	score	NOUN
cana-1281	260	26	,	,	PUNCT
cana-1281	260	27	which	which	PRON
cana-1281	260	28	combines	combine	VERB
cana-1281	260	29	accuracy	accuracy	NOUN
cana-1281	260	30	and	and	CCONJ
cana-1281	260	31	recall	recall	NOUN
cana-1281	260	32	,	,	PUNCT
cana-1281	260	33	varied	varied	ADJ
cana-1281	260	34	from	from	ADP
cana-1281	260	35	89.9	89.9	NUM
cana-1281	260	36	%	%	NOUN
cana-1281	260	37	to	to	ADP
cana-1281	260	38	91.0	91.0	NUM
cana-1281	260	39	%	%	NOUN
cana-1281	260	40	for	for	ADP
cana-1281	260	41	the	the	DET
cana-1281	260	42	proposed	propose	VERB
cana-1281	260	43	method	method	NOUN
cana-1281	260	44	.	.	PUNCT
cana-1281	261	1	with	with	ADP
cana-1281	261	2	a	a	DET
cana-1281	261	3	high	high	ADJ
cana-1281	261	4	f1	f1	NOUN
cana-1281	261	5	-	-	PUNCT
cana-1281	261	6	score	score	NOUN
cana-1281	261	7	,	,	PUNCT
cana-1281	261	8	the	the	DET
cana-1281	261	9	model	model	NOUN
cana-1281	261	10	exhibits	exhibit	VERB
cana-1281	261	11	good	good	ADJ
cana-1281	261	12	performance	performance	NOUN
cana-1281	261	13	in	in	ADP
cana-1281	261	14	fairly	fairly	ADV
cana-1281	261	15	balancing	balance	VERB
cana-1281	261	16	recall	recall	NOUN
cana-1281	261	17	with	with	ADP
cana-1281	261	18	accuracy	accuracy	NOUN
cana-1281	261	19	.	.	PUNCT
cana-1281	262	1	current	current	ADJ
cana-1281	262	2	approaches	approach	NOUN
cana-1281	262	3	exhibited	exhibit	VERB
cana-1281	262	4	lower	low	ADJ
cana-1281	262	5	f1	f1	NOUN
cana-1281	262	6	-	-	PUNCT
cana-1281	262	7	scores	score	NOUN
cana-1281	262	8	with	with	ADP
cana-1281	262	9	mlo	mlo	PROPN
cana-1281	262	10	-	-	PUNCT
cana-1281	262	11	svr	svr	NOUN
cana-1281	262	12	-	-	PUNCT
cana-1281	262	13	bar	bar	NOUN
cana-1281	262	14	ranging	range	VERB
cana-1281	262	15	from	from	ADP
cana-1281	262	16	85.4	85.4	NUM
cana-1281	262	17	%	%	NOUN
cana-1281	262	18	to	to	ADP
cana-1281	262	19	86.2	86.2	NUM
cana-1281	262	20	%	%	NOUN
cana-1281	262	21	,	,	PUNCT
cana-1281	262	22	cps	cps	PROPN
cana-1281	262	23	-	-	PUNCT
cana-1281	262	24	pur	pur	NOUN
cana-1281	262	25	and	and	CCONJ
cana-1281	262	26	bhsc	bhsc	NOUN
cana-1281	262	27	ranging	range	VERB
cana-1281	262	28	from	from	ADP
cana-1281	262	29	87.6	87.6	NUM
cana-1281	262	30	%	%	NOUN
cana-1281	262	31	to	to	ADP
cana-1281	262	32	89.7	89.7	NUM
cana-1281	262	33	%	%	NOUN
cana-1281	262	34	,	,	PUNCT
cana-1281	262	35	and	and	CCONJ
cana-1281	262	36	bt	bt	AUX
cana-1281	262	37	-	-	ADJ
cana-1281	262	38	xgboost	xgboost	ADV
cana-1281	262	39	ranging	range	VERB
cana-1281	262	40	from	from	ADP
cana-1281	262	41	85.0	85.0	NUM
cana-1281	262	42	%	%	NOUN
cana-1281	262	43	to	to	ADP
cana-1281	262	44	85.6	85.6	NUM
cana-1281	262	45	%	%	NOUN
cana-1281	262	46	.	.	PUNCT
cana-1281	263	1	the	the	DET
cana-1281	263	2	suggested	suggest	VERB
cana-1281	263	3	approach	approach	NOUN
cana-1281	263	4	's	's	PART
cana-1281	263	5	higher	high	ADJ
cana-1281	263	6	f1	f1	NOUN
cana-1281	263	7	-	-	PUNCT
cana-1281	263	8	score	score	NOUN
cana-1281	263	9	highlights	highlight	NOUN
cana-1281	263	10	its	its	PRON
cana-1281	263	11	ability	ability	NOUN
cana-1281	263	12	to	to	PART
cana-1281	263	13	correctly	correctly	ADV
cana-1281	263	14	manage	manage	VERB
cana-1281	263	15	false	false	ADJ
cana-1281	263	16	positives	positive	NOUN
cana-1281	263	17	and	and	CCONJ
cana-1281	263	18	false	false	ADJ
cana-1281	263	19	negatives	negative	NOUN
cana-1281	263	20	,	,	PUNCT
cana-1281	263	21	therefore	therefore	ADV
cana-1281	263	22	offering	offer	VERB
cana-1281	263	23	a	a	DET
cana-1281	263	24	full	full	ADJ
cana-1281	263	25	performance	performance	NOUN
cana-1281	263	26	in	in	ADP
cana-1281	263	27	transaction	transaction	NOUN
cana-1281	263	28	validation	validation	NOUN
cana-1281	263	29	.	.	PUNCT
cana-1281	264	1	the	the	DET
cana-1281	264	2	proposed	propose	VERB
cana-1281	264	3	method	method	NOUN
cana-1281	264	4	demonstrated	demonstrate	VERB
cana-1281	264	5	exceptional	exceptional	ADJ
cana-1281	264	6	computing	computing	NOUN
cana-1281	264	7	efficiency	efficiency	NOUN
cana-1281	264	8	with	with	ADP
cana-1281	264	9	an	an	DET
cana-1281	264	10	average	average	ADJ
cana-1281	264	11	validation	validation	NOUN
cana-1281	264	12	time	time	NOUN
cana-1281	264	13	between	between	ADP
cana-1281	264	14	0.40	0.40	NUM
cana-1281	264	15	and	and	CCONJ
cana-1281	264	16	0.45	0.45	NUM
cana-1281	264	17	seconds	second	NOUN
cana-1281	264	18	per	per	ADP
cana-1281	264	19	transaction	transaction	NOUN
cana-1281	264	20	.	.	PUNCT
cana-1281	265	1	cps	cps	PROPN
cana-1281	265	2	-	-	PUNCT
cana-1281	265	3	pur	pur	NOUN
cana-1281	265	4	varied	varied	ADJ
cana-1281	265	5	from	from	ADP
cana-1281	265	6	0.51	0.51	NUM
cana-1281	265	7	to	to	ADP
cana-1281	265	8	0.53	0.53	NUM
cana-1281	265	9	seconds	second	NOUN
cana-1281	265	10	,	,	PUNCT
cana-1281	265	11	bhsc	bhsc	NOUN
cana-1281	265	12	from	from	ADP
cana-1281	265	13	0.46	0.46	NUM
cana-1281	265	14	to	to	ADP
cana-1281	265	15	0.49	0.49	NUM
cana-1281	265	16	seconds	second	NOUN
cana-1281	265	17	,	,	PUNCT
cana-1281	265	18	and	and	CCONJ
cana-1281	265	19	bt	bt	NOUN
cana-1281	265	20	-	-	ADJ
cana-1281	265	21	xgboost	xgboost	NOUN
cana-1281	265	22	from	from	ADP
cana-1281	265	23	0.62	0.62	NUM
cana-1281	265	24	to	to	PART
cana-1281	265	25	0.64	0.64	NUM
cana-1281	265	26	seconds	second	NOUN
cana-1281	265	27	,	,	PUNCT
cana-1281	265	28	with	with	ADP
cana-1281	265	29	an	an	DET
cana-1281	265	30	average	average	ADJ
cana-1281	265	31	validation	validation	NOUN
cana-1281	265	32	time	time	NOUN
cana-1281	265	33	of	of	ADP
cana-1281	265	34	0.55	0.55	NUM
cana-1281	265	35	to	to	ADP
cana-1281	265	36	0.59	0.59	NUM
cana-1281	265	37	seconds	second	NOUN
cana-1281	265	38	,	,	PUNCT
cana-1281	265	39	this	this	PRON
cana-1281	265	40	is	be	AUX
cana-1281	265	41	considerably	considerably	ADV
cana-1281	265	42	superior	superior	ADJ
cana-1281	265	43	than	than	ADP
cana-1281	265	44	the	the	DET
cana-1281	265	45	present	present	ADJ
cana-1281	265	46	techniques	technique	NOUN
cana-1281	265	47	.	.	PUNCT
cana-1281	266	1	real	real	ADJ
cana-1281	266	2	-	-	PUNCT
cana-1281	266	3	time	time	NOUN
cana-1281	266	4	applications	application	NOUN
cana-1281	266	5	depend	depend	VERB
cana-1281	266	6	on	on	ADP
cana-1281	266	7	faster	fast	ADJ
cana-1281	266	8	transaction	transaction	NOUN
cana-1281	266	9	processing	processing	NOUN
cana-1281	266	10	reproposed	repropose	VERB
cana-1281	266	11	by	by	ADP
cana-1281	266	12	the	the	DET
cana-1281	266	13	lower	low	ADJ
cana-1281	266	14	ce	ce	PROPN
cana-1281	266	15	of	of	ADP
cana-1281	266	16	the	the	DET
cana-1281	266	17	proposed	propose	VERB
cana-1281	266	18	method	method	NOUN
cana-1281	266	19	,	,	PUNCT
cana-1281	266	20	which	which	PRON
cana-1281	266	21	also	also	ADV
cana-1281	266	22	enhances	enhance	VERB
cana-1281	266	23	general	general	ADJ
cana-1281	266	24	system	system	NOUN
cana-1281	266	25	performance	performance	NOUN
cana-1281	266	26	.	.	PUNCT
cana-1281	267	1	communications	communication	NOUN
cana-1281	267	2	on	on	ADP
cana-1281	267	3	applied	apply	VERB
cana-1281	267	4	nonlinear	nonlinear	ADJ
cana-1281	267	5	analysis	analysis	NOUN
cana-1281	267	6	issn	issn	NOUN
cana-1281	267	7	:	:	PUNCT
cana-1281	267	8	1074	1074	NUM
cana-1281	267	9	-	-	PUNCT
cana-1281	267	10	133x	133x	NUM
cana-1281	267	11	vol	vol	NOUN
cana-1281	267	12	31	31	NUM
cana-1281	267	13	no	no	NOUN
cana-1281	267	14	.	.	PUNCT
cana-1281	268	1	7s	7	NOUN
cana-1281	268	2	(	(	PUNCT
cana-1281	268	3	2024	2024	NUM
cana-1281	268	4	)	)	PUNCT
cana-1281	268	5	36	36	NUM
cana-1281	268	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	269	1	the	the	DET
cana-1281	269	2	proposed	propose	VERB
cana-1281	269	3	technique	technique	NOUN
cana-1281	269	4	had	have	VERB
cana-1281	269	5	a	a	DET
cana-1281	269	6	training	training	NOUN
cana-1281	269	7	time	time	NOUN
cana-1281	269	8	of	of	ADP
cana-1281	269	9	14	14	NUM
cana-1281	269	10	to	to	PART
cana-1281	269	11	16	16	NUM
cana-1281	269	12	minutes	minute	NOUN
cana-1281	269	13	,	,	PUNCT
cana-1281	269	14	which	which	PRON
cana-1281	269	15	is	be	AUX
cana-1281	269	16	really	really	ADV
cana-1281	269	17	fair	fair	ADJ
cana-1281	269	18	compared	compare	VERB
cana-1281	269	19	to	to	ADP
cana-1281	269	20	the	the	DET
cana-1281	269	21	present	present	ADJ
cana-1281	269	22	ones	one	NOUN
cana-1281	269	23	.	.	PUNCT
cana-1281	270	1	bhsc	bhsc	NOUN
cana-1281	270	2	ran	run	VERB
cana-1281	270	3	from	from	ADP
cana-1281	270	4	16	16	NUM
cana-1281	270	5	to	to	PART
cana-1281	270	6	18	18	NUM
cana-1281	270	7	minutes	minute	NOUN
cana-1281	270	8	;	;	PUNCT
cana-1281	270	9	mlo	mlo	PROPN
cana-1281	270	10	-	-	PUNCT
cana-1281	270	11	svr	svr	NOUN
cana-1281	270	12	-	-	PUNCT
cana-1281	270	13	bar	bar	NOUN
cana-1281	270	14	and	and	CCONJ
cana-1281	270	15	cps	cps	PROPN
cana-1281	270	16	-	-	PUNCT
cana-1281	270	17	pur	pur	NOUN
cana-1281	270	18	needed	need	VERB
cana-1281	270	19	more	more	ADJ
cana-1281	270	20	time	time	NOUN
cana-1281	270	21	—	—	PUNCT
cana-1281	270	22	from	from	ADP
cana-1281	270	23	20	20	NUM
cana-1281	270	24	to	to	PART
cana-1281	270	25	24	24	NUM
cana-1281	270	26	minutes	minute	NOUN
cana-1281	270	27	—	—	PUNCT
cana-1281	270	28	and	and	CCONJ
cana-1281	270	29	bt	bt	NOUN
cana-1281	270	30	-	-	ADJ
cana-1281	270	31	xgboost	xgboost	PROPN
cana-1281	270	32	had	have	VERB
cana-1281	270	33	the	the	DET
cana-1281	270	34	biggest	big	ADJ
cana-1281	270	35	training	training	NOUN
cana-1281	270	36	time	time	NOUN
cana-1281	270	37	—	—	PUNCT
cana-1281	270	38	from	from	ADP
cana-1281	270	39	22	22	NUM
cana-1281	270	40	to	to	PART
cana-1281	270	41	26	26	NUM
cana-1281	270	42	minutes	minute	NOUN
cana-1281	270	43	.	.	PUNCT
cana-1281	271	1	more	more	ADV
cana-1281	271	2	reasonable	reasonable	ADJ
cana-1281	271	3	for	for	ADP
cana-1281	271	4	frequent	frequent	ADJ
cana-1281	271	5	updates	update	NOUN
cana-1281	271	6	and	and	CCONJ
cana-1281	271	7	real	real	ADJ
cana-1281	271	8	-	-	PUNCT
cana-1281	271	9	time	time	NOUN
cana-1281	271	10	connectivity	connectivity	NOUN
cana-1281	271	11	with	with	ADP
cana-1281	271	12	blockchain	blockchain	PROPN
cana-1281	271	13	systems	systems	PROPN
cana-1281	271	14	,	,	PUNCT
cana-1281	271	15	the	the	DET
cana-1281	271	16	shorter	short	ADJ
cana-1281	271	17	mtt	mtt	NOUN
cana-1281	271	18	for	for	ADP
cana-1281	271	19	the	the	DET
cana-1281	271	20	suggested	suggest	VERB
cana-1281	271	21	method	method	NOUN
cana-1281	271	22	shows	show	VERB
cana-1281	271	23	its	its	PRON
cana-1281	271	24	capacity	capacity	NOUN
cana-1281	271	25	to	to	PART
cana-1281	271	26	train	train	VERB
cana-1281	271	27	fast	fast	ADV
cana-1281	271	28	.	.	PUNCT
cana-1281	272	1	5	5	X
cana-1281	272	2	.	.	X
cana-1281	272	3	conclusion	conclusion	NOUN
cana-1281	272	4	the	the	DET
cana-1281	272	5	svm	svm	NOUN
cana-1281	272	6	using	use	VERB
cana-1281	272	7	blockchain	blockchain	PROPN
cana-1281	272	8	technology	technology	PROPN
cana-1281	272	9	has	have	AUX
cana-1281	272	10	shown	show	VERB
cana-1281	272	11	very	very	ADV
cana-1281	272	12	good	good	ADJ
cana-1281	272	13	performance	performance	NOUN
cana-1281	272	14	for	for	ADP
cana-1281	272	15	data	datum	NOUN
cana-1281	272	16	integrity	integrity	NOUN
cana-1281	272	17	and	and	CCONJ
cana-1281	272	18	transaction	transaction	NOUN
cana-1281	272	19	validation	validation	NOUN
cana-1281	272	20	.	.	PUNCT
cana-1281	273	1	the	the	DET
cana-1281	273	2	proposed	propose	VERB
cana-1281	273	3	svm	svm	PROPN
cana-1281	273	4	-	-	PUNCT
cana-1281	273	5	based	base	VERB
cana-1281	273	6	method	method	NOUN
cana-1281	273	7	frequently	frequently	ADV
cana-1281	273	8	outperforms	outperform	VERB
cana-1281	273	9	current	current	ADJ
cana-1281	273	10	methods	method	NOUN
cana-1281	273	11	including	include	VERB
cana-1281	273	12	mlo	mlo	PROPN
cana-1281	273	13	-	-	PUNCT
cana-1281	273	14	svr	svr	NOUN
cana-1281	273	15	-	-	PUNCT
cana-1281	273	16	bar	bar	NOUN
cana-1281	273	17	,	,	PUNCT
cana-1281	273	18	cps	cps	PROPN
cana-1281	273	19	-	-	PUNCT
cana-1281	273	20	pur	pur	PROPN
cana-1281	273	21	,	,	PUNCT
cana-1281	273	22	bhsc	bhsc	NOUN
cana-1281	273	23	,	,	PUNCT
cana-1281	273	24	and	and	CCONJ
cana-1281	273	25	bt	bt	NOUN
cana-1281	273	26	-	-	ADJ
cana-1281	273	27	xgboost	xgboost	ADV
cana-1281	273	28	over	over	ADP
cana-1281	273	29	numerous	numerous	ADJ
cana-1281	273	30	performance	performance	NOUN
cana-1281	273	31	parameters	parameter	NOUN
cana-1281	273	32	.	.	PUNCT
cana-1281	274	1	its	its	PRON
cana-1281	274	2	significant	significant	ADJ
cana-1281	274	3	capacity	capacity	NOUN
cana-1281	274	4	to	to	PART
cana-1281	274	5	correctly	correctly	ADV
cana-1281	274	6	identify	identify	VERB
cana-1281	274	7	transactions	transaction	NOUN
cana-1281	274	8	and	and	CCONJ
cana-1281	274	9	preserve	preserve	VERB
cana-1281	274	10	high	high	ADJ
cana-1281	274	11	degrees	degree	NOUN
cana-1281	274	12	of	of	ADP
cana-1281	274	13	dependability	dependability	NOUN
cana-1281	274	14	evidenced	evidence	VERB
cana-1281	274	15	by	by	ADP
cana-1281	274	16	greater	great	ADJ
cana-1281	274	17	accuracy	accuracy	NOUN
cana-1281	274	18	,	,	PUNCT
cana-1281	274	19	precision	precision	NOUN
cana-1281	274	20	,	,	PUNCT
cana-1281	274	21	recall	recall	NOUN
cana-1281	274	22	,	,	PUNCT
cana-1281	274	23	and	and	CCONJ
cana-1281	274	24	f1	f1	NOUN
cana-1281	274	25	-	-	PUNCT
cana-1281	274	26	score	score	NOUN
cana-1281	274	27	.	.	PUNCT
cana-1281	275	1	moreover	moreover	ADV
cana-1281	275	2	,	,	PUNCT
cana-1281	275	3	the	the	DET
cana-1281	275	4	proposed	propose	VERB
cana-1281	275	5	method	method	NOUN
cana-1281	275	6	showed	show	VERB
cana-1281	275	7	remarkable	remarkable	ADJ
cana-1281	275	8	processing	processing	NOUN
cana-1281	275	9	efficiency	efficiency	NOUN
cana-1281	275	10	with	with	ADP
cana-1281	275	11	shortened	shorten	VERB
cana-1281	275	12	validation	validation	NOUN
cana-1281	275	13	times	time	NOUN
cana-1281	275	14	,	,	PUNCT
cana-1281	275	15	so	so	ADV
cana-1281	275	16	boosting	boost	VERB
cana-1281	275	17	its	its	PRON
cana-1281	275	18	appropriateness	appropriateness	NOUN
cana-1281	275	19	for	for	ADP
cana-1281	275	20	real	real	ADJ
cana-1281	275	21	-	-	PUNCT
cana-1281	275	22	time	time	NOUN
cana-1281	275	23	applications	application	NOUN
cana-1281	275	24	.	.	PUNCT
cana-1281	276	1	the	the	DET
cana-1281	276	2	competitive	competitive	ADJ
cana-1281	276	3	training	training	NOUN
cana-1281	276	4	duration	duration	NOUN
cana-1281	276	5	of	of	ADP
cana-1281	276	6	the	the	DET
cana-1281	276	7	model	model	NOUN
cana-1281	276	8	also	also	ADV
cana-1281	276	9	ensures	ensure	VERB
cana-1281	276	10	practicality	practicality	NOUN
cana-1281	276	11	for	for	ADP
cana-1281	276	12	consistent	consistent	ADJ
cana-1281	276	13	improvements	improvement	NOUN
cana-1281	276	14	and	and	CCONJ
cana-1281	276	15	blockchain	blockchain	PROPN
cana-1281	276	16	system	system	NOUN
cana-1281	276	17	integration	integration	NOUN
cana-1281	276	18	.	.	PUNCT
cana-1281	277	1	all	all	DET
cana-1281	277	2	things	thing	NOUN
cana-1281	277	3	considered	consider	VERB
cana-1281	277	4	,	,	PUNCT
cana-1281	277	5	the	the	DET
cana-1281	277	6	proposed	propose	VERB
cana-1281	277	7	approach	approach	NOUN
cana-1281	277	8	improves	improve	VERB
cana-1281	277	9	blockchain	blockchain	PROPN
cana-1281	277	10	security	security	NOUN
cana-1281	277	11	and	and	CCONJ
cana-1281	277	12	efficiency	efficiency	NOUN
cana-1281	277	13	by	by	ADP
cana-1281	277	14	offering	offer	VERB
cana-1281	277	15	faster	fast	ADJ
cana-1281	277	16	processing	processing	NOUN
cana-1281	277	17	capability	capability	NOUN
cana-1281	277	18	together	together	ADV
cana-1281	277	19	with	with	ADP
cana-1281	277	20	robust	robust	ADJ
cana-1281	277	21	transaction	transaction	NOUN
cana-1281	277	22	validation	validation	NOUN
cana-1281	277	23	performance	performance	NOUN
cana-1281	277	24	.	.	PUNCT
cana-1281	278	1	the	the	DET
cana-1281	278	2	results	result	NOUN
cana-1281	278	3	define	define	VERB
cana-1281	278	4	a	a	DET
cana-1281	278	5	new	new	ADJ
cana-1281	278	6	benchmark	benchmark	NOUN
cana-1281	278	7	for	for	ADP
cana-1281	278	8	combining	combine	VERB
cana-1281	278	9	machine	machine	NOUN
cana-1281	278	10	learning	learning	NOUN
cana-1281	278	11	models	model	NOUN
cana-1281	278	12	with	with	ADP
cana-1281	278	13	blockchain	blockchain	PROPN
cana-1281	278	14	technology	technology	PROPN
cana-1281	278	15	since	since	SCONJ
cana-1281	278	16	they	they	PRON
cana-1281	278	17	show	show	VERB
cana-1281	278	18	the	the	DET
cana-1281	278	19	possibility	possibility	NOUN
cana-1281	278	20	of	of	ADP
cana-1281	278	21	the	the	DET
cana-1281	278	22	method	method	NOUN
cana-1281	278	23	to	to	PART
cana-1281	278	24	improve	improve	VERB
cana-1281	278	25	transaction	transaction	NOUN
cana-1281	278	26	reliability	reliability	NOUN
cana-1281	278	27	and	and	CCONJ
cana-1281	278	28	data	datum	NOUN
cana-1281	278	29	integrity	integrity	NOUN
cana-1281	278	30	in	in	ADP
cana-1281	278	31	blockchain	blockchain	PROPN
cana-1281	278	32	applications	application	NOUN
cana-1281	278	33	.	.	PUNCT
cana-1281	279	1	references	reference	NOUN
cana-1281	279	2	[	[	X
cana-1281	279	3	1	1	NUM
cana-1281	279	4	]	]	X
cana-1281	279	5	al	al	PROPN
cana-1281	279	6	-	-	PUNCT
cana-1281	279	7	ghuraybi	ghuraybi	PROPN
cana-1281	279	8	,	,	PUNCT
cana-1281	279	9	h.	h.	PROPN
cana-1281	279	10	a.	a.	PROPN
cana-1281	279	11	,	,	PUNCT
cana-1281	279	12	alzain	alzain	NOUN
cana-1281	279	13	,	,	PUNCT
cana-1281	279	14	m.	m.	NOUN
cana-1281	279	15	a.	a.	PROPN
cana-1281	279	16	,	,	PUNCT
cana-1281	279	17	&	&	CCONJ
cana-1281	279	18	soh	soh	PROPN
cana-1281	279	19	,	,	PUNCT
cana-1281	279	20	b.	b.	PROPN
cana-1281	279	21	(	(	PUNCT
cana-1281	279	22	2024	2024	NUM
cana-1281	279	23	)	)	PUNCT
cana-1281	279	24	.	.	PUNCT
cana-1281	280	1	exploring	explore	VERB
cana-1281	280	2	the	the	DET
cana-1281	280	3	integration	integration	NOUN
cana-1281	280	4	of	of	ADP
cana-1281	280	5	blockchain	blockchain	PROPN
cana-1281	280	6	technology	technology	PROPN
cana-1281	280	7	,	,	PUNCT
cana-1281	280	8	physical	physical	ADJ
cana-1281	280	9	unclonable	unclonable	ADJ
cana-1281	280	10	function	function	NOUN
cana-1281	280	11	,	,	PUNCT
cana-1281	280	12	and	and	CCONJ
cana-1281	280	13	machine	machine	NOUN
cana-1281	280	14	learning	learn	VERB
cana-1281	280	15	for	for	ADP
cana-1281	280	16	authentication	authentication	NOUN
cana-1281	280	17	in	in	ADP
cana-1281	280	18	cyber	cyber	ADJ
cana-1281	280	19	-	-	PUNCT
cana-1281	280	20	physical	physical	ADJ
cana-1281	280	21	systems	system	NOUN
cana-1281	280	22	.	.	PUNCT
cana-1281	281	1	multimedia	multimedia	NOUN
cana-1281	281	2	tools	tool	NOUN
cana-1281	281	3	and	and	CCONJ
cana-1281	281	4	applications	application	NOUN
cana-1281	281	5	,	,	PUNCT
cana-1281	281	6	83(12	83(12	NUM
cana-1281	281	7	)	)	PUNCT
cana-1281	281	8	,	,	PUNCT
cana-1281	281	9	35629	35629	NUM
cana-1281	281	10	-	-	SYM
cana-1281	281	11	35672	35672	NUM
cana-1281	281	12	.	.	PUNCT
cana-1281	282	1	[	[	X
cana-1281	282	2	2	2	NUM
cana-1281	282	3	]	]	X
cana-1281	282	4	praghash	praghash	NOUN
cana-1281	282	5	,	,	PUNCT
cana-1281	282	6	k.	k.	PROPN
cana-1281	282	7	,	,	PUNCT
cana-1281	282	8	yuvaraj	yuvaraj	PROPN
cana-1281	282	9	,	,	PUNCT
cana-1281	282	10	n.	n.	PROPN
cana-1281	282	11	,	,	PUNCT
cana-1281	282	12	peter	peter	PROPN
cana-1281	282	13	,	,	PUNCT
cana-1281	282	14	g.	g.	PROPN
cana-1281	282	15	,	,	PUNCT
cana-1281	282	16	stonier	stonier	NOUN
cana-1281	282	17	,	,	PUNCT
cana-1281	282	18	a.	a.	NOUN
cana-1281	282	19	a.	a.	PROPN
cana-1281	282	20	,	,	PUNCT
cana-1281	282	21	&	&	CCONJ
cana-1281	282	22	priya	priya	PROPN
cana-1281	282	23	,	,	PUNCT
cana-1281	282	24	r.	r.	PROPN
cana-1281	282	25	d.	d.	PROPN
cana-1281	282	26	(	(	PUNCT
cana-1281	282	27	2022	2022	NUM
cana-1281	282	28	,	,	PUNCT
cana-1281	282	29	december	december	PROPN
cana-1281	282	30	)	)	PUNCT
cana-1281	282	31	.	.	PUNCT
cana-1281	283	1	financial	financial	ADJ
cana-1281	283	2	big	big	ADJ
cana-1281	283	3	data	datum	NOUN
cana-1281	283	4	analysis	analysis	NOUN
cana-1281	283	5	using	use	VERB
cana-1281	283	6	anti	anti	ADJ
cana-1281	283	7	-	-	ADJ
cana-1281	283	8	tampering	tamper	VERB
cana-1281	283	9	blockchain	blockchain	NOUN
cana-1281	283	10	-	-	PUNCT
cana-1281	283	11	based	base	VERB
cana-1281	283	12	deep	deep	ADJ
cana-1281	283	13	learning	learning	NOUN
cana-1281	283	14	.	.	PUNCT
cana-1281	284	1	in	in	ADP
cana-1281	284	2	international	international	ADJ
cana-1281	284	3	conference	conference	NOUN
cana-1281	284	4	on	on	ADP
cana-1281	284	5	hybrid	hybrid	ADJ
cana-1281	284	6	intelligent	intelligent	ADJ
cana-1281	284	7	systems	system	NOUN
cana-1281	284	8	(	(	PUNCT
cana-1281	284	9	pp	pp	ADJ
cana-1281	284	10	.	.	PUNCT
cana-1281	284	11	1031	1031	NUM
cana-1281	284	12	-	-	SYM
cana-1281	284	13	1040	1040	NUM
cana-1281	284	14	)	)	PUNCT
cana-1281	284	15	.	.	PUNCT
cana-1281	285	1	cham	cham	PROPN
cana-1281	285	2	:	:	PUNCT
cana-1281	285	3	springer	springer	NOUN
cana-1281	285	4	nature	nature	PROPN
cana-1281	285	5	switzerland	switzerland	PROPN
cana-1281	285	6	.	.	PUNCT
cana-1281	286	1	[	[	X
cana-1281	286	2	3	3	NUM
cana-1281	286	3	]	]	X
cana-1281	286	4	saravanan	saravanan	PROPN
cana-1281	286	5	,	,	PUNCT
cana-1281	286	6	v.	v.	ADV
cana-1281	286	7	,	,	PUNCT
cana-1281	286	8	madiajagan	madiajagan	NOUN
cana-1281	286	9	,	,	PUNCT
cana-1281	286	10	m.	m.	NOUN
cana-1281	286	11	,	,	PUNCT
cana-1281	286	12	rafee	rafee	PROPN
cana-1281	286	13	,	,	PUNCT
cana-1281	286	14	s.	s.	PROPN
cana-1281	286	15	m.	m.	PROPN
cana-1281	286	16	,	,	PUNCT
cana-1281	286	17	sanju	sanju	PROPN
cana-1281	286	18	,	,	PUNCT
cana-1281	286	19	p.	p.	PROPN
cana-1281	286	20	,	,	PUNCT
cana-1281	286	21	rehman	rehman	PROPN
cana-1281	286	22	,	,	PUNCT
cana-1281	286	23	t.	t.	PROPN
cana-1281	286	24	b.	b.	PROPN
cana-1281	286	25	,	,	PUNCT
cana-1281	286	26	&	&	CCONJ
cana-1281	286	27	pattanaik	pattanaik	PROPN
cana-1281	286	28	,	,	PUNCT
cana-1281	286	29	b.	b.	PROPN
cana-1281	286	30	(	(	PUNCT
cana-1281	286	31	2024	2024	NUM
cana-1281	286	32	)	)	PUNCT
cana-1281	286	33	.	.	PUNCT
cana-1281	287	1	iot	iot	PROPN
cana-1281	287	2	-	-	PUNCT
cana-1281	287	3	based	base	VERB
cana-1281	287	4	blockchain	blockchain	PROPN
cana-1281	287	5	intrusion	intrusion	PROPN
cana-1281	287	6	detection	detection	NOUN
cana-1281	287	7	using	use	VERB
cana-1281	287	8	optimized	optimize	VERB
cana-1281	287	9	recurrent	recurrent	ADJ
cana-1281	287	10	neural	neural	ADJ
cana-1281	287	11	network	network	NOUN
cana-1281	287	12	.	.	PUNCT
cana-1281	288	1	multimedia	multimedia	NOUN
cana-1281	288	2	tools	tool	NOUN
cana-1281	288	3	and	and	CCONJ
cana-1281	288	4	applications	application	NOUN
cana-1281	288	5	,	,	PUNCT
cana-1281	288	6	83(11	83(11	NUM
cana-1281	288	7	)	)	PUNCT
cana-1281	288	8	,	,	PUNCT
cana-1281	288	9	3150531526	3150531526	NUM
cana-1281	288	10	.	.	PUNCT
cana-1281	289	1	[	[	X
cana-1281	289	2	4	4	NUM
cana-1281	289	3	]	]	X
cana-1281	289	4	jebamikyous	jebamikyous	ADJ
cana-1281	289	5	,	,	PUNCT
cana-1281	289	6	h.	h.	PROPN
cana-1281	289	7	,	,	PUNCT
cana-1281	289	8	li	li	PROPN
cana-1281	289	9	,	,	PUNCT
cana-1281	289	10	m.	m.	NOUN
cana-1281	289	11	,	,	PUNCT
cana-1281	289	12	suhas	suha	NOUN
cana-1281	289	13	,	,	PUNCT
cana-1281	289	14	y.	y.	PROPN
cana-1281	289	15	,	,	PUNCT
cana-1281	289	16	&	&	CCONJ
cana-1281	289	17	kashef	kashef	PROPN
cana-1281	289	18	,	,	PUNCT
cana-1281	289	19	r.	r.	PROPN
cana-1281	289	20	(	(	PUNCT
cana-1281	289	21	2023	2023	NUM
cana-1281	289	22	)	)	PUNCT
cana-1281	289	23	.	.	PUNCT
cana-1281	290	1	leveraging	leverage	VERB
cana-1281	290	2	machine	machine	NOUN
cana-1281	290	3	learning	learning	NOUN
cana-1281	290	4	and	and	CCONJ
cana-1281	290	5	blockchain	blockchain	PROPN
cana-1281	290	6	in	in	ADP
cana-1281	290	7	ecommerce	ecommerce	NOUN
cana-1281	290	8	and	and	CCONJ
cana-1281	290	9	beyond	beyond	ADP
cana-1281	290	10	:	:	PUNCT
cana-1281	290	11	benefits	benefit	NOUN
cana-1281	290	12	,	,	PUNCT
cana-1281	290	13	models	model	NOUN
cana-1281	290	14	,	,	PUNCT
cana-1281	290	15	and	and	CCONJ
cana-1281	290	16	application	application	NOUN
cana-1281	290	17	.	.	PUNCT
cana-1281	291	1	discover	discover	VERB
cana-1281	291	2	artificial	artificial	ADJ
cana-1281	291	3	intelligence	intelligence	NOUN
cana-1281	291	4	,	,	PUNCT
cana-1281	291	5	3(1	3(1	NUM
cana-1281	291	6	)	)	PUNCT
cana-1281	291	7	,	,	PUNCT
cana-1281	291	8	3	3	X
cana-1281	291	9	.	.	PUNCT
cana-1281	292	1	[	[	X
cana-1281	292	2	5	5	NUM
cana-1281	292	3	]	]	PUNCT
cana-1281	292	4	choudhry	choudhry	NOUN
cana-1281	292	5	,	,	PUNCT
cana-1281	292	6	m.	m.	NOUN
cana-1281	292	7	d.	d.	PROPN
cana-1281	292	8	,	,	PUNCT
cana-1281	292	9	sivaraj	sivaraj	PROPN
cana-1281	292	10	,	,	PUNCT
cana-1281	292	11	j.	j.	PROPN
cana-1281	292	12	,	,	PUNCT
cana-1281	292	13	munusamy	munusamy	PROPN
cana-1281	292	14	,	,	PUNCT
cana-1281	292	15	s.	s.	PROPN
cana-1281	292	16	,	,	PUNCT
cana-1281	292	17	muthusamy	muthusamy	PROPN
cana-1281	292	18	,	,	PUNCT
cana-1281	292	19	p.	p.	PROPN
cana-1281	292	20	d.	d.	PROPN
cana-1281	292	21	,	,	PUNCT
cana-1281	292	22	&	&	CCONJ
cana-1281	292	23	saravanan	saravanan	PROPN
cana-1281	292	24	,	,	PUNCT
cana-1281	292	25	v.	v.	PROPN
cana-1281	292	26	(	(	PUNCT
cana-1281	292	27	2024	2024	NUM
cana-1281	292	28	)	)	PUNCT
cana-1281	292	29	.	.	PUNCT
cana-1281	293	1	industry	industry	NOUN
cana-1281	293	2	4.0	4.0	NUM
cana-1281	293	3	in	in	ADP
cana-1281	293	4	manufacturing	manufacturing	NOUN
cana-1281	293	5	,	,	PUNCT
cana-1281	293	6	communication	communication	NOUN
cana-1281	293	7	,	,	PUNCT
cana-1281	293	8	transportation	transportation	NOUN
cana-1281	293	9	,	,	PUNCT
cana-1281	293	10	and	and	CCONJ
cana-1281	293	11	health	health	NOUN
cana-1281	293	12	care	care	NOUN
cana-1281	293	13	.	.	PUNCT
cana-1281	294	1	topics	topic	NOUN
cana-1281	294	2	in	in	ADP
cana-1281	294	3	artificial	artificial	ADJ
cana-1281	294	4	intelligence	intelligence	NOUN
cana-1281	294	5	applied	apply	VERB
cana-1281	294	6	to	to	ADP
cana-1281	294	7	industry	industry	NOUN
cana-1281	294	8	4.0	4.0	NUM
cana-1281	294	9	,	,	PUNCT
cana-1281	294	10	149	149	NUM
cana-1281	294	11	-	-	SYM
cana-1281	294	12	165	165	NUM
cana-1281	294	13	.	.	PUNCT
cana-1281	295	1	[	[	X
cana-1281	295	2	6	6	NUM
cana-1281	295	3	]	]	SYM
cana-1281	295	4	yousefi	yousefi	PROPN
cana-1281	295	5	,	,	PUNCT
cana-1281	295	6	s.	s.	PROPN
cana-1281	295	7	,	,	PUNCT
cana-1281	295	8	&	&	CCONJ
cana-1281	295	9	tosarkani	tosarkani	PROPN
cana-1281	295	10	,	,	PUNCT
cana-1281	295	11	b.	b.	PROPN
cana-1281	295	12	m.	m.	NOUN
cana-1281	295	13	(	(	PUNCT
cana-1281	295	14	2023	2023	NUM
cana-1281	295	15	)	)	PUNCT
cana-1281	295	16	.	.	PUNCT
cana-1281	296	1	exploring	explore	VERB
cana-1281	296	2	the	the	DET
cana-1281	296	3	role	role	NOUN
cana-1281	296	4	of	of	ADP
cana-1281	296	5	blockchain	blockchain	PROPN
cana-1281	296	6	technology	technology	PROPN
cana-1281	296	7	in	in	ADP
cana-1281	296	8	improving	improve	VERB
cana-1281	296	9	sustainable	sustainable	ADJ
cana-1281	296	10	supply	supply	NOUN
cana-1281	296	11	chain	chain	NOUN
cana-1281	296	12	performance	performance	NOUN
cana-1281	296	13	:	:	PUNCT
cana-1281	296	14	a	a	DET
cana-1281	296	15	system	system	NOUN
cana-1281	296	16	-	-	PUNCT
cana-1281	296	17	analysis	analysis	NOUN
cana-1281	296	18	-	-	PUNCT
cana-1281	296	19	based	base	VERB
cana-1281	296	20	approach	approach	NOUN
cana-1281	296	21	.	.	PUNCT
cana-1281	297	1	ieee	ieee	NOUN
cana-1281	297	2	transactions	transaction	NOUN
cana-1281	297	3	on	on	ADP
cana-1281	297	4	engineering	engineering	NOUN
cana-1281	297	5	management	management	NOUN
cana-1281	297	6	,	,	PUNCT
cana-1281	297	7	71	71	NUM
cana-1281	297	8	,	,	PUNCT
cana-1281	297	9	43894405	43894405	NUM
cana-1281	297	10	.	.	PUNCT
cana-1281	298	1	[	[	X
cana-1281	298	2	7	7	NUM
cana-1281	298	3	]	]	X
cana-1281	298	4	dhanasekaran	dhanasekaran	NUM
cana-1281	298	5	,	,	PUNCT
cana-1281	298	6	s.	s.	PROPN
cana-1281	298	7	,	,	PUNCT
cana-1281	298	8	rajput	rajput	PROPN
cana-1281	298	9	,	,	PUNCT
cana-1281	298	10	k.	k.	PROPN
cana-1281	298	11	,	,	PUNCT
cana-1281	298	12	yuvaraj	yuvaraj	PROPN
cana-1281	298	13	,	,	PUNCT
cana-1281	298	14	n.	n.	PROPN
cana-1281	298	15	,	,	PUNCT
cana-1281	298	16	aeri	aeri	PROPN
cana-1281	298	17	,	,	PUNCT
cana-1281	298	18	m.	m.	NOUN
cana-1281	298	19	,	,	PUNCT
cana-1281	298	20	shukla	shukla	NOUN
cana-1281	298	21	,	,	PUNCT
cana-1281	298	22	r.	r.	PROPN
cana-1281	298	23	p.	p.	PROPN
cana-1281	298	24	,	,	PUNCT
cana-1281	298	25	&	&	CCONJ
cana-1281	298	26	singh	singh	PROPN
cana-1281	298	27	,	,	PUNCT
cana-1281	298	28	s.	s.	PROPN
cana-1281	298	29	k.	k.	PROPN
cana-1281	298	30	(	(	PUNCT
cana-1281	298	31	2024	2024	NUM
cana-1281	298	32	,	,	PUNCT
cana-1281	298	33	may	may	AUX
cana-1281	298	34	)	)	PUNCT
cana-1281	298	35	.	.	PUNCT
cana-1281	299	1	utilizing	utilize	VERB
cana-1281	299	2	cloud	cloud	NOUN
cana-1281	299	3	computing	computing	NOUN
cana-1281	299	4	for	for	ADP
cana-1281	299	5	distributed	distributed	ADJ
cana-1281	299	6	training	training	NOUN
cana-1281	299	7	of	of	ADP
cana-1281	299	8	deep	deep	ADJ
cana-1281	299	9	learning	learning	NOUN
cana-1281	299	10	models	model	NOUN
cana-1281	299	11	.	.	PUNCT
cana-1281	300	1	in	in	ADP
cana-1281	300	2	2024	2024	NUM
cana-1281	300	3	second	second	ADJ
cana-1281	300	4	international	international	ADJ
cana-1281	300	5	conference	conference	NOUN
cana-1281	300	6	on	on	ADP
cana-1281	300	7	data	datum	NOUN
cana-1281	300	8	science	science	NOUN
cana-1281	300	9	and	and	CCONJ
cana-1281	300	10	information	information	NOUN
cana-1281	300	11	system	system	NOUN
cana-1281	300	12	(	(	PUNCT
cana-1281	300	13	icdsis	icdsis	NOUN
cana-1281	300	14	)	)	PUNCT
cana-1281	300	15	(	(	PUNCT
cana-1281	300	16	pp	pp	X
cana-1281	300	17	.	.	PUNCT
cana-1281	301	1	1	1	NUM
cana-1281	301	2	-	-	SYM
cana-1281	301	3	6	6	NUM
cana-1281	301	4	)	)	PUNCT
cana-1281	301	5	.	.	PUNCT
cana-1281	302	1	ieee	ieee	NOUN
cana-1281	302	2	.	.	PUNCT
cana-1281	303	1	[	[	X
cana-1281	303	2	8	8	NUM
cana-1281	303	3	]	]	X
cana-1281	303	4	rajput	rajput	PROPN
cana-1281	303	5	,	,	PUNCT
cana-1281	303	6	k.	k.	PROPN
cana-1281	303	7	,	,	PUNCT
cana-1281	303	8	suganyadevi	suganyadevi	PROPN
cana-1281	303	9	,	,	PUNCT
cana-1281	303	10	k.	k.	PROPN
cana-1281	303	11	,	,	PUNCT
cana-1281	303	12	aeri	aeri	PROPN
cana-1281	303	13	,	,	PUNCT
cana-1281	303	14	m.	m.	NOUN
cana-1281	303	15	,	,	PUNCT
cana-1281	303	16	shukla	shukla	NOUN
cana-1281	303	17	,	,	PUNCT
cana-1281	303	18	r.	r.	PROPN
cana-1281	303	19	p.	p.	PROPN
cana-1281	303	20	,	,	PUNCT
cana-1281	303	21	&	&	CCONJ
cana-1281	303	22	gurjar	gurjar	PROPN
cana-1281	303	23	,	,	PUNCT
cana-1281	303	24	h.	h.	PROPN
cana-1281	303	25	(	(	PUNCT
cana-1281	303	26	2024	2024	NUM
cana-1281	303	27	,	,	PUNCT
cana-1281	303	28	may	may	AUX
cana-1281	303	29	)	)	PUNCT
cana-1281	303	30	.	.	PUNCT
cana-1281	304	1	multi	multi	ADJ
cana-1281	304	2	-	-	ADJ
cana-1281	304	3	scale	scale	ADJ
cana-1281	304	4	object	object	NOUN
cana-1281	304	5	detection	detection	NOUN
cana-1281	304	6	and	and	CCONJ
cana-1281	304	7	classification	classification	NOUN
cana-1281	304	8	using	use	VERB
cana-1281	304	9	machine	machine	NOUN
cana-1281	304	10	learning	learning	NOUN
cana-1281	304	11	and	and	CCONJ
cana-1281	304	12	image	image	NOUN
cana-1281	304	13	processing	processing	NOUN
cana-1281	304	14	.	.	PUNCT
cana-1281	305	1	in	in	ADP
cana-1281	305	2	2024	2024	NUM
cana-1281	305	3	second	second	ADJ
cana-1281	305	4	international	international	ADJ
cana-1281	305	5	conference	conference	NOUN
cana-1281	305	6	on	on	ADP
cana-1281	305	7	data	datum	NOUN
cana-1281	305	8	science	science	NOUN
cana-1281	305	9	and	and	CCONJ
cana-1281	305	10	information	information	NOUN
cana-1281	305	11	system	system	NOUN
cana-1281	305	12	(	(	PUNCT
cana-1281	305	13	icdsis	icdsis	NOUN
cana-1281	305	14	)	)	PUNCT
cana-1281	305	15	(	(	PUNCT
cana-1281	305	16	pp	pp	X
cana-1281	305	17	.	.	PUNCT
cana-1281	306	1	1	1	NUM
cana-1281	306	2	-	-	SYM
cana-1281	306	3	6	6	NUM
cana-1281	306	4	)	)	PUNCT
cana-1281	306	5	.	.	PUNCT
cana-1281	307	1	ieee	ieee	NOUN
cana-1281	307	2	.	.	PUNCT
cana-1281	308	1	[	[	X
cana-1281	308	2	9	9	NUM
cana-1281	308	3	]	]	SYM
cana-1281	308	4	roozkhosh	roozkhosh	NOUN
cana-1281	308	5	,	,	PUNCT
cana-1281	308	6	p.	p.	NOUN
cana-1281	308	7	,	,	PUNCT
cana-1281	308	8	pooya	pooya	PROPN
cana-1281	308	9	,	,	PUNCT
cana-1281	308	10	a.	a.	NOUN
cana-1281	308	11	,	,	PUNCT
cana-1281	308	12	&	&	CCONJ
cana-1281	308	13	agarwal	agarwal	PROPN
cana-1281	308	14	,	,	PUNCT
cana-1281	308	15	r.	r.	PROPN
cana-1281	308	16	(	(	PUNCT
cana-1281	308	17	2023	2023	NUM
cana-1281	308	18	)	)	PUNCT
cana-1281	308	19	.	.	PUNCT
cana-1281	309	1	blockchain	blockchain	PROPN
cana-1281	309	2	acceptance	acceptance	NOUN
cana-1281	309	3	rate	rate	NOUN
cana-1281	309	4	prediction	prediction	NOUN
cana-1281	309	5	in	in	ADP
cana-1281	309	6	the	the	DET
cana-1281	309	7	resilient	resilient	ADJ
cana-1281	309	8	supply	supply	NOUN
cana-1281	309	9	chain	chain	NOUN
cana-1281	309	10	with	with	ADP
cana-1281	309	11	hybrid	hybrid	ADJ
cana-1281	309	12	system	system	NOUN
cana-1281	309	13	dynamics	dynamic	NOUN
cana-1281	309	14	and	and	CCONJ
cana-1281	309	15	machine	machine	NOUN
cana-1281	309	16	learning	learning	NOUN
cana-1281	309	17	approach	approach	NOUN
cana-1281	309	18	.	.	PUNCT
cana-1281	310	1	operations	operation	NOUN
cana-1281	310	2	management	management	NOUN
cana-1281	310	3	research	research	NOUN
cana-1281	310	4	,	,	PUNCT
cana-1281	310	5	16(2	16(2	NUM
cana-1281	310	6	)	)	PUNCT
cana-1281	310	7	,	,	PUNCT
cana-1281	310	8	705	705	NUM
cana-1281	310	9	-	-	SYM
cana-1281	310	10	725	725	NUM
cana-1281	310	11	.	.	PUNCT
cana-1281	311	1	communications	communication	NOUN
cana-1281	311	2	on	on	ADP
cana-1281	311	3	applied	apply	VERB
cana-1281	311	4	nonlinear	nonlinear	ADJ
cana-1281	311	5	analysis	analysis	NOUN
cana-1281	311	6	issn	issn	NOUN
cana-1281	311	7	:	:	PUNCT
cana-1281	311	8	1074	1074	NUM
cana-1281	311	9	-	-	PUNCT
cana-1281	311	10	133x	133x	NUM
cana-1281	311	11	vol	vol	NOUN
cana-1281	311	12	31	31	NUM
cana-1281	311	13	no	no	NOUN
cana-1281	311	14	.	.	PUNCT
cana-1281	312	1	7s	7	NOUN
cana-1281	312	2	(	(	PUNCT
cana-1281	312	3	2024	2024	NUM
cana-1281	312	4	)	)	PUNCT
cana-1281	312	5	37	37	NUM
cana-1281	312	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1281	313	1	[	[	X
cana-1281	313	2	10	10	NUM
cana-1281	313	3	]	]	X
cana-1281	313	4	jagdish	jagdish	PROPN
cana-1281	313	5	,	,	PUNCT
cana-1281	313	6	m.	m.	NOUN
cana-1281	313	7	,	,	PUNCT
cana-1281	313	8	anand	anand	PROPN
cana-1281	313	9	,	,	PUNCT
cana-1281	313	10	n.	n.	PROPN
cana-1281	313	11	,	,	PUNCT
cana-1281	313	12	gaurav	gaurav	PROPN
cana-1281	313	13	,	,	PUNCT
cana-1281	313	14	k.	k.	PROPN
cana-1281	313	15	,	,	PUNCT
cana-1281	313	16	baseer	baseer	PROPN
cana-1281	313	17	,	,	PUNCT
cana-1281	313	18	s.	s.	PROPN
cana-1281	313	19	,	,	PUNCT
cana-1281	313	20	alqahtani	alqahtani	PROPN
cana-1281	313	21	,	,	PUNCT
cana-1281	313	22	a.	a.	PROPN
cana-1281	313	23	,	,	PUNCT
cana-1281	313	24	&	&	CCONJ
cana-1281	313	25	saravanan	saravanan	PROPN
cana-1281	313	26	,	,	PUNCT
cana-1281	313	27	v.	v.	PROPN
cana-1281	313	28	(	(	PUNCT
cana-1281	313	29	2022	2022	NUM
cana-1281	313	30	)	)	PUNCT
cana-1281	313	31	.	.	PUNCT
cana-1281	314	1	multihoming	multihome	VERB
cana-1281	314	2	big	big	ADJ
cana-1281	314	3	data	datum	NOUN
cana-1281	314	4	network	network	NOUN
cana-1281	314	5	using	use	VERB
cana-1281	314	6	blockchain‐based	blockchain‐base	VERB
cana-1281	314	7	query	query	NOUN
cana-1281	314	8	optimization	optimization	NOUN
cana-1281	314	9	scheme	scheme	NOUN
cana-1281	314	10	.	.	PUNCT
cana-1281	315	1	wireless	wireless	ADJ
cana-1281	315	2	communications	communication	NOUN
cana-1281	315	3	and	and	CCONJ
cana-1281	315	4	mobile	mobile	NOUN
cana-1281	315	5	computing	computing	NOUN
cana-1281	315	6	,	,	PUNCT
cana-1281	315	7	2022(1	2022(1	NUM
cana-1281	315	8	)	)	PUNCT
cana-1281	315	9	,	,	PUNCT
cana-1281	315	10	7768169	7768169	NUM
cana-1281	315	11	.	.	PUNCT
cana-1281	316	1	[	[	X
cana-1281	316	2	11	11	NUM
cana-1281	316	3	]	]	X
cana-1281	316	4	puri	puri	PROPN
cana-1281	316	5	,	,	PUNCT
cana-1281	316	6	v.	v.	PROPN
cana-1281	316	7	,	,	PUNCT
cana-1281	316	8	mondal	mondal	PROPN
cana-1281	316	9	,	,	PUNCT
cana-1281	316	10	s.	s.	PROPN
cana-1281	316	11	,	,	PUNCT
cana-1281	316	12	das	das	PROPN
cana-1281	316	13	,	,	PUNCT
cana-1281	316	14	s.	s.	PROPN
cana-1281	316	15	,	,	PUNCT
cana-1281	316	16	&	&	CCONJ
cana-1281	316	17	vrana	vrana	PROPN
cana-1281	316	18	,	,	PUNCT
cana-1281	316	19	v.	v.	ADP
cana-1281	316	20	g.	g.	PROPN
cana-1281	316	21	(	(	PUNCT
cana-1281	316	22	2023	2023	NUM
cana-1281	316	23	,	,	PUNCT
cana-1281	316	24	january	january	PROPN
cana-1281	316	25	)	)	PUNCT
cana-1281	316	26	.	.	PUNCT
cana-1281	317	1	blockchain	blockchain	PROPN
cana-1281	317	2	propels	propel	VERB
cana-1281	317	3	tourism	tourism	NOUN
cana-1281	317	4	industry	industry	NOUN
cana-1281	317	5	—	—	PUNCT
cana-1281	317	6	an	an	DET
cana-1281	317	7	attempt	attempt	NOUN
cana-1281	317	8	to	to	PART
cana-1281	317	9	explore	explore	VERB
cana-1281	317	10	topics	topic	NOUN
cana-1281	317	11	and	and	CCONJ
cana-1281	317	12	information	information	NOUN
cana-1281	317	13	in	in	ADP
cana-1281	317	14	smart	smart	ADJ
cana-1281	317	15	tourism	tourism	NOUN
cana-1281	317	16	management	management	NOUN
cana-1281	317	17	through	through	ADP
cana-1281	317	18	text	text	NOUN
cana-1281	317	19	mining	mining	NOUN
cana-1281	317	20	and	and	CCONJ
cana-1281	317	21	machine	machine	NOUN
cana-1281	317	22	learning	learning	NOUN
cana-1281	317	23	.	.	PUNCT
cana-1281	318	1	in	in	ADP
cana-1281	318	2	informatics	informatics	PROPN
cana-1281	318	3	(	(	PUNCT
cana-1281	318	4	vol	vol	NOUN
cana-1281	318	5	.	.	PROPN
cana-1281	318	6	10	10	NUM
cana-1281	318	7	,	,	PUNCT
cana-1281	318	8	no	no	INTJ
cana-1281	318	9	.	.	NOUN
cana-1281	318	10	1	1	NUM
cana-1281	318	11	,	,	PUNCT
cana-1281	318	12	p.	p.	NOUN
cana-1281	318	13	9	9	NUM
cana-1281	318	14	)	)	PUNCT
cana-1281	318	15	.	.	PUNCT
cana-1281	319	1	mdpi	mdpi	PROPN
cana-1281	319	2	.	.	PUNCT
cana-1281	320	1	[	[	X
cana-1281	320	2	12	12	NUM
cana-1281	320	3	]	]	SYM
cana-1281	320	4	roozkhosh	roozkhosh	NOUN
cana-1281	320	5	,	,	PUNCT
cana-1281	320	6	p.	p.	NOUN
cana-1281	320	7	,	,	PUNCT
cana-1281	320	8	pooya	pooya	PROPN
cana-1281	320	9	,	,	PUNCT
cana-1281	320	10	a.	a.	NOUN
cana-1281	320	11	,	,	PUNCT
cana-1281	320	12	&	&	CCONJ
cana-1281	320	13	agarwal	agarwal	PROPN
cana-1281	320	14	,	,	PUNCT
cana-1281	320	15	r.	r.	PROPN
cana-1281	320	16	(	(	PUNCT
cana-1281	320	17	2023	2023	NUM
cana-1281	320	18	)	)	PUNCT
cana-1281	320	19	.	.	PUNCT
cana-1281	321	1	blockchain	blockchain	PROPN
cana-1281	321	2	acceptance	acceptance	NOUN
cana-1281	321	3	rate	rate	NOUN
cana-1281	321	4	prediction	prediction	NOUN
cana-1281	321	5	in	in	ADP
cana-1281	321	6	the	the	DET
cana-1281	321	7	resilient	resilient	ADJ
cana-1281	321	8	supply	supply	NOUN
cana-1281	321	9	chain	chain	NOUN
cana-1281	321	10	with	with	ADP
cana-1281	321	11	hybrid	hybrid	ADJ
cana-1281	321	12	system	system	NOUN
cana-1281	321	13	dynamics	dynamic	NOUN
cana-1281	321	14	and	and	CCONJ
cana-1281	321	15	machine	machine	NOUN
cana-1281	321	16	learning	learning	NOUN
cana-1281	321	17	approach	approach	NOUN
cana-1281	321	18	.	.	PUNCT
cana-1281	322	1	operations	operation	NOUN
cana-1281	322	2	management	management	NOUN
cana-1281	322	3	research	research	NOUN
cana-1281	322	4	,	,	PUNCT
cana-1281	322	5	16(2	16(2	NUM
cana-1281	322	6	)	)	PUNCT
cana-1281	322	7	,	,	PUNCT
cana-1281	322	8	705	705	NUM
cana-1281	322	9	-	-	SYM
cana-1281	322	10	725	725	NUM
cana-1281	322	11	.	.	PUNCT
cana-1281	323	1	[	[	X
cana-1281	323	2	13	13	NUM
cana-1281	323	3	]	]	X
cana-1281	323	4	al	al	PROPN
cana-1281	323	5	-	-	PUNCT
cana-1281	323	6	ghuraybi	ghuraybi	PROPN
cana-1281	323	7	,	,	PUNCT
cana-1281	323	8	h.	h.	PROPN
cana-1281	323	9	a.	a.	PROPN
cana-1281	323	10	,	,	PUNCT
cana-1281	323	11	alzain	alzain	NOUN
cana-1281	323	12	,	,	PUNCT
cana-1281	323	13	m.	m.	NOUN
cana-1281	323	14	a.	a.	PROPN
cana-1281	323	15	,	,	PUNCT
cana-1281	323	16	&	&	CCONJ
cana-1281	323	17	soh	soh	PROPN
cana-1281	323	18	,	,	PUNCT
cana-1281	323	19	b.	b.	PROPN
cana-1281	323	20	(	(	PUNCT
cana-1281	323	21	2024	2024	NUM
cana-1281	323	22	)	)	PUNCT
cana-1281	323	23	.	.	PUNCT
cana-1281	324	1	exploring	explore	VERB
cana-1281	324	2	the	the	DET
cana-1281	324	3	integration	integration	NOUN
cana-1281	324	4	of	of	ADP
cana-1281	324	5	blockchain	blockchain	PROPN
cana-1281	324	6	technology	technology	PROPN
cana-1281	324	7	,	,	PUNCT
cana-1281	324	8	physical	physical	ADJ
cana-1281	324	9	unclonable	unclonable	ADJ
cana-1281	324	10	function	function	NOUN
cana-1281	324	11	,	,	PUNCT
cana-1281	324	12	and	and	CCONJ
cana-1281	324	13	machine	machine	NOUN
cana-1281	324	14	learning	learn	VERB
cana-1281	324	15	for	for	ADP
cana-1281	324	16	authentication	authentication	NOUN
cana-1281	324	17	in	in	ADP
cana-1281	324	18	cyber	cyber	ADJ
cana-1281	324	19	-	-	PUNCT
cana-1281	324	20	physical	physical	ADJ
cana-1281	324	21	systems	system	NOUN
cana-1281	324	22	.	.	PUNCT
cana-1281	325	1	multimedia	multimedia	NOUN
cana-1281	325	2	tools	tool	NOUN
cana-1281	325	3	and	and	CCONJ
cana-1281	325	4	applications	application	NOUN
cana-1281	325	5	,	,	PUNCT
cana-1281	325	6	83(12	83(12	NUM
cana-1281	325	7	)	)	PUNCT
cana-1281	325	8	,	,	PUNCT
cana-1281	325	9	35629	35629	NUM
cana-1281	325	10	-	-	SYM
cana-1281	325	11	35672	35672	NUM
cana-1281	325	12	.	.	PUNCT
cana-1281	326	1	[	[	X
cana-1281	326	2	14	14	NUM
cana-1281	326	3	]	]	SYM
cana-1281	326	4	yousefi	yousefi	PROPN
cana-1281	326	5	,	,	PUNCT
cana-1281	326	6	s.	s.	PROPN
cana-1281	326	7	,	,	PUNCT
cana-1281	326	8	&	&	CCONJ
cana-1281	326	9	tosarkani	tosarkani	PROPN
cana-1281	326	10	,	,	PUNCT
cana-1281	326	11	b.	b.	PROPN
cana-1281	326	12	m.	m.	NOUN
cana-1281	326	13	(	(	PUNCT
cana-1281	326	14	2023	2023	NUM
cana-1281	326	15	)	)	PUNCT
cana-1281	326	16	.	.	PUNCT
cana-1281	327	1	exploring	explore	VERB
cana-1281	327	2	the	the	DET
cana-1281	327	3	role	role	NOUN
cana-1281	327	4	of	of	ADP
cana-1281	327	5	blockchain	blockchain	PROPN
cana-1281	327	6	technology	technology	PROPN
cana-1281	327	7	in	in	ADP
cana-1281	327	8	improving	improve	VERB
cana-1281	327	9	sustainable	sustainable	ADJ
cana-1281	327	10	supply	supply	NOUN
cana-1281	327	11	chain	chain	NOUN
cana-1281	327	12	performance	performance	NOUN
cana-1281	327	13	:	:	PUNCT
cana-1281	327	14	a	a	DET
cana-1281	327	15	system	system	NOUN
cana-1281	327	16	-	-	PUNCT
cana-1281	327	17	analysis	analysis	NOUN
cana-1281	327	18	-	-	PUNCT
cana-1281	327	19	based	base	VERB
cana-1281	327	20	approach	approach	NOUN
cana-1281	327	21	.	.	PUNCT
cana-1281	328	1	ieee	ieee	NOUN
cana-1281	328	2	transactions	transaction	NOUN
cana-1281	328	3	on	on	ADP
cana-1281	328	4	engineering	engineering	NOUN
cana-1281	328	5	management	management	NOUN
cana-1281	328	6	,	,	PUNCT
cana-1281	328	7	71	71	NUM
cana-1281	328	8	,	,	PUNCT
cana-1281	328	9	43894405	43894405	NUM
cana-1281	328	10	.	.	PUNCT
cana-1281	329	1	[	[	X
cana-1281	329	2	15	15	NUM
cana-1281	329	3	]	]	X
cana-1281	329	4	shaikh	shaikh	PROPN
cana-1281	329	5	,	,	PUNCT
cana-1281	329	6	z.	z.	PROPN
cana-1281	329	7	a.	a.	PROPN
cana-1281	329	8	,	,	PUNCT
cana-1281	329	9	khan	khan	PROPN
cana-1281	329	10	,	,	PUNCT
cana-1281	329	11	a.	a.	NOUN
cana-1281	329	12	a.	a.	PROPN
cana-1281	329	13	,	,	PUNCT
cana-1281	329	14	baitenova	baitenova	PROPN
cana-1281	329	15	,	,	PUNCT
cana-1281	329	16	l.	l.	PROPN
cana-1281	329	17	,	,	PUNCT
cana-1281	329	18	zambinova	zambinova	PROPN
cana-1281	329	19	,	,	PUNCT
cana-1281	329	20	g.	g.	PROPN
cana-1281	329	21	,	,	PUNCT
cana-1281	329	22	yegina	yegina	PROPN
cana-1281	329	23	,	,	PUNCT
cana-1281	329	24	n.	n.	NOUN
cana-1281	329	25	,	,	PUNCT
cana-1281	329	26	ivolgina	ivolgina	PROPN
cana-1281	329	27	,	,	PUNCT
cana-1281	329	28	n.	n.	NOUN
cana-1281	329	29	,	,	PUNCT
cana-1281	329	30	...	...	PUNCT
cana-1281	329	31	&	&	CCONJ
cana-1281	329	32	barykin	barykin	PROPN
cana-1281	329	33	,	,	PUNCT
cana-1281	329	34	s.	s.	PROPN
cana-1281	329	35	e.	e.	PROPN
cana-1281	329	36	(	(	PUNCT
cana-1281	329	37	2022	2022	NUM
cana-1281	329	38	)	)	PUNCT
cana-1281	329	39	.	.	PUNCT
cana-1281	330	1	blockchain	blockchain	PROPN
cana-1281	330	2	hyperledger	hyperledger	PROPN
cana-1281	330	3	with	with	ADP
cana-1281	330	4	non	non	ADJ
cana-1281	330	5	-	-	ADJ
cana-1281	330	6	linear	linear	ADJ
cana-1281	330	7	machine	machine	NOUN
cana-1281	330	8	learning	learning	NOUN
cana-1281	330	9	:	:	PUNCT
cana-1281	330	10	a	a	DET
cana-1281	330	11	novel	novel	NOUN
cana-1281	330	12	and	and	CCONJ
cana-1281	330	13	secure	secure	VERB
cana-1281	330	14	educational	educational	ADJ
cana-1281	330	15	accreditation	accreditation	NOUN
cana-1281	330	16	registration	registration	NOUN
cana-1281	330	17	and	and	CCONJ
cana-1281	330	18	distributed	distribute	VERB
cana-1281	330	19	ledger	ledger	NOUN
cana-1281	330	20	preservation	preservation	NOUN
cana-1281	330	21	architecture	architecture	NOUN
cana-1281	330	22	.	.	PUNCT
cana-1281	331	1	applied	apply	VERB
cana-1281	331	2	sciences	science	NOUN
cana-1281	331	3	,	,	PUNCT
cana-1281	331	4	12(5	12(5	NUM
cana-1281	331	5	)	)	PUNCT
cana-1281	331	6	,	,	PUNCT
cana-1281	331	7	2534	2534	NUM
cana-1281	331	8	.	.	PUNCT
cana-1281	332	1	[	[	X
cana-1281	332	2	16	16	NUM
cana-1281	332	3	]	]	X
cana-1281	332	4	tissaoui	tissaoui	PROPN
cana-1281	332	5	,	,	PUNCT
cana-1281	332	6	k.	k.	PROPN
cana-1281	332	7	,	,	PUNCT
cana-1281	332	8	zaghdoudi	zaghdoudi	NUM
cana-1281	332	9	,	,	PUNCT
cana-1281	332	10	t.	t.	PROPN
cana-1281	332	11	,	,	PUNCT
cana-1281	332	12	boubaker	boubaker	PROPN
cana-1281	332	13	,	,	PUNCT
cana-1281	332	14	s.	s.	PROPN
cana-1281	332	15	,	,	PUNCT
cana-1281	332	16	hkiri	hkiri	PROPN
cana-1281	332	17	,	,	PUNCT
cana-1281	332	18	b.	b.	PROPN
cana-1281	332	19	,	,	PUNCT
cana-1281	332	20	&	&	CCONJ
cana-1281	332	21	talbi	talbi	PROPN
cana-1281	332	22	,	,	PUNCT
cana-1281	332	23	m.	m.	NOUN
cana-1281	332	24	(	(	PUNCT
cana-1281	332	25	2024	2024	NUM
cana-1281	332	26	)	)	PUNCT
cana-1281	332	27	.	.	PUNCT
cana-1281	333	1	testing	test	VERB
cana-1281	333	2	the	the	DET
cana-1281	333	3	nonlinear	nonlinear	ADJ
cana-1281	333	4	long	long	ADJ
cana-1281	333	5	-	-	PUNCT
cana-1281	333	6	and	and	CCONJ
cana-1281	333	7	short	short	ADJ
cana-1281	333	8	-	-	PUNCT
cana-1281	333	9	run	run	VERB
cana-1281	333	10	distributional	distributional	ADJ
cana-1281	333	11	asymmetries	asymmetry	NOUN
cana-1281	333	12	effects	effect	NOUN
cana-1281	333	13	of	of	ADP
cana-1281	333	14	bitcoin	bitcoin	ADJ
cana-1281	333	15	prices	price	NOUN
cana-1281	333	16	on	on	ADP
cana-1281	333	17	bitcoin	bitcoin	ADJ
cana-1281	333	18	energy	energy	NOUN
cana-1281	333	19	consumption	consumption	NOUN
cana-1281	333	20	:	:	PUNCT
cana-1281	333	21	new	new	ADJ
cana-1281	333	22	insights	insight	NOUN
cana-1281	333	23	through	through	ADP
cana-1281	333	24	the	the	DET
cana-1281	333	25	qnardl	qnardl	NOUN
cana-1281	333	26	model	model	NOUN
cana-1281	333	27	and	and	CCONJ
cana-1281	333	28	xgboost	xgboost	ADV
cana-1281	333	29	machine	machine	NOUN
cana-1281	333	30	-	-	PUNCT
cana-1281	333	31	learning	learn	VERB
cana-1281	333	32	tool	tool	NOUN
cana-1281	333	33	.	.	PUNCT
cana-1281	334	1	energies	energy	NOUN
cana-1281	334	2	,	,	PUNCT
cana-1281	334	3	17(12	17(12	NUM
cana-1281	334	4	)	)	PUNCT
cana-1281	334	5	,	,	PUNCT
cana-1281	334	6	2810	2810	NUM
cana-1281	334	7	.	.	PUNCT