id	sid	tid	token	lemma	pos
cana-3637	1	1	communications	communication	NOUN
cana-3637	1	2	on	on	ADP
cana-3637	1	3	applied	apply	VERB
cana-3637	1	4	nonlinear	nonlinear	ADJ
cana-3637	1	5	analysis	analysis	NOUN
cana-3637	1	6	issn	issn	NOUN
cana-3637	1	7	:	:	PUNCT
cana-3637	1	8	1074	1074	NUM
cana-3637	1	9	-	-	PUNCT
cana-3637	1	10	133x	133x	NUM
cana-3637	1	11	vol	vol	NOUN
cana-3637	1	12	32	32	NUM
cana-3637	1	13	no	no	NOUN
cana-3637	1	14	.	.	PUNCT
cana-3637	2	1	8s	8s	PROPN
cana-3637	2	2	(	(	PUNCT
cana-3637	2	3	2025	2025	NUM
cana-3637	2	4	)	)	PUNCT
cana-3637	2	5	214	214	NUM
cana-3637	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	2	7	design	design	NOUN
cana-3637	2	8	of	of	ADP
cana-3637	2	9	an	an	DET
cana-3637	2	10	integrated	integrated	ADJ
cana-3637	2	11	model	model	NOUN
cana-3637	2	12	with	with	ADP
cana-3637	2	13	contrastive	contrastive	ADJ
cana-3637	2	14	predictive	predictive	ADJ
cana-3637	2	15	coding	coding	NOUN
cana-3637	2	16	and	and	CCONJ
cana-3637	2	17	model	model	NOUN
cana-3637	2	18	-	-	ADJ
cana-3637	2	19	agnostic	agnostic	ADJ
cana-3637	2	20	meta	meta	NOUN
cana-3637	2	21	-	-	PUNCT
cana-3637	2	22	learning	learning	NOUN
cana-3637	2	23	for	for	ADP
cana-3637	2	24	adaptive	adaptive	ADJ
cana-3637	2	25	and	and	CCONJ
cana-3637	2	26	explainable	explainable	ADJ
cana-3637	2	27	mobile	mobile	ADJ
cana-3637	2	28	forensic	forensic	ADJ
cana-3637	2	29	analysis	analysis	NOUN
cana-3637	2	30	1	1	NUM
cana-3637	2	31	preeti	preeti	PROPN
cana-3637	2	32	dudhe	dudhe	PROPN
cana-3637	2	33	,	,	PUNCT
cana-3637	2	34	2s.r.gupta	2s.r.gupta	NUM
cana-3637	2	35	1assistant	1assistant	NUM
cana-3637	2	36	professor	professor	NOUN
cana-3637	2	37	,	,	PUNCT
cana-3637	2	38	department	department	NOUN
cana-3637	2	39	of	of	ADP
cana-3637	2	40	information	information	NOUN
cana-3637	2	41	technology	technology	PROPN
cana-3637	2	42	prof	prof	NOUN
cana-3637	2	43	ram	ram	PROPN
cana-3637	2	44	meghe	meghe	PROPN
cana-3637	2	45	institute	institute	PROPN
cana-3637	2	46	of	of	ADP
cana-3637	2	47	technology	technology	PROPN
cana-3637	2	48	&	&	CCONJ
cana-3637	2	49	research	research	NOUN
cana-3637	2	50	,	,	PUNCT
cana-3637	2	51	badnera	badnera	NOUN
cana-3637	2	52	2assistant	2assistant	NUM
cana-3637	2	53	professor	professor	NOUN
cana-3637	2	54	,	,	PUNCT
cana-3637	2	55	department	department	NOUN
cana-3637	2	56	of	of	ADP
cana-3637	2	57	computer	computer	NOUN
cana-3637	2	58	science	science	NOUN
cana-3637	2	59	and	and	CCONJ
cana-3637	2	60	engineering	engineering	NOUN
cana-3637	2	61	prof	prof	NOUN
cana-3637	2	62	ram	ram	PROPN
cana-3637	2	63	meghe	meghe	PROPN
cana-3637	2	64	institute	institute	PROPN
cana-3637	2	65	of	of	ADP
cana-3637	2	66	technology	technology	PROPN
cana-3637	2	67	&	&	CCONJ
cana-3637	2	68	research	research	NOUN
cana-3637	2	69	,	,	PUNCT
cana-3637	2	70	badnera	badnera	NOUN
cana-3637	2	71	1preeti.nandeshwar@gmail.com	1preeti.nandeshwar@gmail.com	X
cana-3637	2	72	2sunilguptacse@gmail.com	2sunilguptacse@gmail.com	NUM
cana-3637	2	73	article	article	NOUN
cana-3637	2	74	history	history	NOUN
cana-3637	2	75	:	:	PUNCT
cana-3637	2	76	received	receive	VERB
cana-3637	2	77	:	:	PUNCT
cana-3637	2	78	20	20	NUM
cana-3637	2	79	-	-	SYM
cana-3637	2	80	10	10	NUM
cana-3637	2	81	-	-	PUNCT
cana-3637	2	82	2024	2024	NUM
cana-3637	2	83	revised	revise	VERB
cana-3637	2	84	:	:	PUNCT
cana-3637	2	85	24	24	NUM
cana-3637	2	86	-	-	SYM
cana-3637	2	87	11	11	NUM
cana-3637	2	88	-	-	PUNCT
cana-3637	2	89	2024	2024	NUM
cana-3637	2	90	accepted	accept	VERB
cana-3637	2	91	:	:	PUNCT
cana-3637	2	92	28	28	NUM
cana-3637	2	93	-	-	SYM
cana-3637	2	94	12	12	NUM
cana-3637	2	95	-	-	PUNCT
cana-3637	2	96	2024	2024	NUM
cana-3637	2	97	abstract	abstract	NOUN
cana-3637	2	98	:	:	PUNCT
cana-3637	2	99	handling	handle	VERB
cana-3637	2	100	multimodal	multimodal	NOUN
cana-3637	2	101	&	&	CCONJ
cana-3637	2	102	multiactivity	multiactivity	NOUN
cana-3637	2	103	data	data	NOUN
cana-3637	2	104	samples	sample	NOUN
cana-3637	2	105	has	have	AUX
cana-3637	2	106	been	be	AUX
cana-3637	2	107	one	one	NUM
cana-3637	2	108	of	of	ADP
cana-3637	2	109	the	the	DET
cana-3637	2	110	major	major	ADJ
cana-3637	2	111	challenges	challenge	NOUN
cana-3637	2	112	in	in	ADP
cana-3637	2	113	mobile	mobile	ADJ
cana-3637	2	114	forensic	forensic	ADJ
cana-3637	2	115	analysis	analysis	NOUN
cana-3637	2	116	that	that	PRON
cana-3637	2	117	includes	include	VERB
cana-3637	2	118	handling	handle	VERB
cana-3637	2	119	diverse	diverse	ADJ
cana-3637	2	120	,	,	PUNCT
cana-3637	2	121	sequential	sequential	ADJ
cana-3637	2	122	data	datum	NOUN
cana-3637	2	123	types	type	NOUN
cana-3637	2	124	like	like	ADP
cana-3637	2	125	call	call	NOUN
cana-3637	2	126	logs	log	NOUN
cana-3637	2	127	,	,	PUNCT
cana-3637	2	128	messages	message	NOUN
cana-3637	2	129	,	,	PUNCT
cana-3637	2	130	and	and	CCONJ
cana-3637	2	131	gps	gps	VERB
cana-3637	2	132	records	record	NOUN
cana-3637	2	133	.	.	PUNCT
cana-3637	3	1	traditional	traditional	ADJ
cana-3637	3	2	supervised	supervise	VERB
cana-3637	3	3	models	model	NOUN
cana-3637	3	4	struggle	struggle	VERB
cana-3637	3	5	with	with	ADP
cana-3637	3	6	dynamic	dynamic	ADJ
cana-3637	3	7	and	and	CCONJ
cana-3637	3	8	unlabeled	unlabele	VERB
cana-3637	3	9	mobile	mobile	ADJ
cana-3637	3	10	data	datum	NOUN
cana-3637	3	11	and	and	CCONJ
cana-3637	3	12	require	require	VERB
cana-3637	3	13	large	large	ADJ
cana-3637	3	14	amounts	amount	NOUN
cana-3637	3	15	of	of	ADP
cana-3637	3	16	labeled	label	VERB
cana-3637	3	17	datasets	dataset	NOUN
cana-3637	3	18	and	and	CCONJ
cana-3637	3	19	time	time	NOUN
cana-3637	3	20	-	-	PUNCT
cana-3637	3	21	consuming	consume	VERB
cana-3637	3	22	retraining	retraining	NOUN
cana-3637	3	23	as	as	SCONJ
cana-3637	3	24	data	data	NOUN
cana-3637	3	25	patterns	pattern	NOUN
cana-3637	3	26	evolve	evolve	VERB
cana-3637	3	27	.	.	PUNCT
cana-3637	4	1	the	the	DET
cana-3637	4	2	integration	integration	NOUN
cana-3637	4	3	of	of	ADP
cana-3637	4	4	cpc	cpc	PROPN
cana-3637	4	5	,	,	PUNCT
cana-3637	4	6	maml	maml	ADJ
cana-3637	4	7	,	,	PUNCT
cana-3637	4	8	and	and	CCONJ
cana-3637	4	9	shap	shap	NOUN
cana-3637	4	10	for	for	ADP
cana-3637	4	11	an	an	DET
cana-3637	4	12	advanced	advanced	ADJ
cana-3637	4	13	self	self	NOUN
cana-3637	4	14	-	-	PUNCT
cana-3637	4	15	supervised	supervise	VERB
cana-3637	4	16	learning	learning	NOUN
cana-3637	4	17	framework	framework	NOUN
cana-3637	4	18	is	be	AUX
cana-3637	4	19	proposed	propose	VERB
cana-3637	4	20	in	in	ADP
cana-3637	4	21	this	this	DET
cana-3637	4	22	paper	paper	NOUN
cana-3637	4	23	to	to	PART
cana-3637	4	24	surpass	surpass	VERB
cana-3637	4	25	the	the	DET
cana-3637	4	26	drawbacks	drawback	NOUN
cana-3637	4	27	mentioned	mention	VERB
cana-3637	4	28	above	above	ADV
cana-3637	4	29	.	.	PUNCT
cana-3637	5	1	this	this	DET
cana-3637	5	2	proposed	propose	VERB
cana-3637	5	3	architecture	architecture	NOUN
cana-3637	5	4	is	be	AUX
cana-3637	5	5	structured	structure	VERB
cana-3637	5	6	such	such	ADJ
cana-3637	5	7	that	that	SCONJ
cana-3637	5	8	it	it	PRON
cana-3637	5	9	capitalizes	capitalize	VERB
cana-3637	5	10	on	on	ADP
cana-3637	5	11	cpc	cpc	PROPN
cana-3637	5	12	's	's	PART
cana-3637	5	13	ability	ability	NOUN
cana-3637	5	14	to	to	PART
cana-3637	5	15	draw	draw	VERB
cana-3637	5	16	high	high	ADJ
cana-3637	5	17	-	-	PUNCT
cana-3637	5	18	quality	quality	NOUN
cana-3637	5	19	temporal	temporal	ADJ
cana-3637	5	20	representations	representation	NOUN
cana-3637	5	21	from	from	ADP
cana-3637	5	22	unlabeled	unlabeled	ADJ
cana-3637	5	23	data	datum	NOUN
cana-3637	5	24	by	by	ADP
cana-3637	5	25	encoding	encode	VERB
cana-3637	5	26	sequential	sequential	ADJ
cana-3637	5	27	dependencies	dependency	NOUN
cana-3637	5	28	in	in	ADP
cana-3637	5	29	mobile	mobile	ADJ
cana-3637	5	30	data	datum	NOUN
cana-3637	5	31	,	,	PUNCT
cana-3637	5	32	making	make	VERB
cana-3637	5	33	it	it	PRON
cana-3637	5	34	apt	apt	ADJ
cana-3637	5	35	for	for	ADP
cana-3637	5	36	capturing	capture	VERB
cana-3637	5	37	the	the	DET
cana-3637	5	38	nuanced	nuanced	ADJ
cana-3637	5	39	behavioral	behavioral	ADJ
cana-3637	5	40	patterns	pattern	NOUN
cana-3637	5	41	.	.	PUNCT
cana-3637	6	1	after	after	ADP
cana-3637	6	2	cpc	cpc	PROPN
cana-3637	6	3	,	,	PUNCT
cana-3637	6	4	maml	maml	NOUN
cana-3637	6	5	provides	provide	VERB
cana-3637	6	6	rapid	rapid	ADJ
cana-3637	6	7	adaptability	adaptability	NOUN
cana-3637	6	8	with	with	ADP
cana-3637	6	9	learning	learning	NOUN
cana-3637	6	10	initialization	initialization	NOUN
cana-3637	6	11	parameters	parameter	NOUN
cana-3637	6	12	generalizing	generalize	VERB
cana-3637	6	13	across	across	ADP
cana-3637	6	14	forensic	forensic	ADJ
cana-3637	6	15	tasks	task	NOUN
cana-3637	6	16	using	use	VERB
cana-3637	6	17	minimal	minimal	ADJ
cana-3637	6	18	retraining	retraining	NOUN
cana-3637	6	19	,	,	PUNCT
cana-3637	6	20	thus	thus	ADV
cana-3637	6	21	being	be	AUX
cana-3637	6	22	important	important	ADJ
cana-3637	6	23	for	for	ADP
cana-3637	6	24	quick	quick	ADJ
cana-3637	6	25	adaptation	adaptation	NOUN
cana-3637	6	26	in	in	ADP
cana-3637	6	27	an	an	DET
cana-3637	6	28	evolving	evolve	VERB
cana-3637	6	29	data	datum	NOUN
cana-3637	6	30	environment	environment	NOUN
cana-3637	6	31	.	.	PUNCT
cana-3637	7	1	shap	shap	PROPN
cana-3637	7	2	improves	improve	VERB
cana-3637	7	3	the	the	DET
cana-3637	7	4	transparency	transparency	NOUN
cana-3637	7	5	of	of	ADP
cana-3637	7	6	models	model	NOUN
cana-3637	7	7	by	by	ADP
cana-3637	7	8	giving	give	VERB
cana-3637	7	9	feature	feature	NOUN
cana-3637	7	10	importance	importance	NOUN
cana-3637	7	11	scores	score	NOUN
cana-3637	7	12	that	that	PRON
cana-3637	7	13	would	would	AUX
cana-3637	7	14	help	help	VERB
cana-3637	7	15	forensic	forensic	ADJ
cana-3637	7	16	analysts	analyst	NOUN
cana-3637	7	17	understand	understand	VERB
cana-3637	7	18	and	and	CCONJ
cana-3637	7	19	validate	validate	VERB
cana-3637	7	20	model	model	NOUN
cana-3637	7	21	predictions	prediction	NOUN
cana-3637	7	22	.	.	PUNCT
cana-3637	8	1	these	these	DET
cana-3637	8	2	methods	method	NOUN
cana-3637	8	3	,	,	PUNCT
cana-3637	8	4	taken	take	VERB
cana-3637	8	5	together	together	ADV
cana-3637	8	6	,	,	PUNCT
cana-3637	8	7	provide	provide	VERB
cana-3637	8	8	a	a	DET
cana-3637	8	9	robust	robust	ADJ
cana-3637	8	10	pipeline	pipeline	NOUN
cana-3637	8	11	which	which	PRON
cana-3637	8	12	addresses	address	VERB
cana-3637	8	13	the	the	DET
cana-3637	8	14	quality	quality	NOUN
cana-3637	8	15	of	of	ADP
cana-3637	8	16	representation	representation	NOUN
cana-3637	8	17	as	as	ADV
cana-3637	8	18	well	well	ADV
cana-3637	8	19	as	as	ADP
cana-3637	8	20	the	the	DET
cana-3637	8	21	interpretability	interpretability	NOUN
cana-3637	8	22	of	of	ADP
cana-3637	8	23	a	a	DET
cana-3637	8	24	model	model	NOUN
cana-3637	8	25	,	,	PUNCT
cana-3637	8	26	making	make	VERB
cana-3637	8	27	the	the	DET
cana-3637	8	28	framework	framework	NOUN
cana-3637	8	29	flexible	flexible	ADJ
cana-3637	8	30	to	to	ADP
cana-3637	8	31	complex	complex	ADJ
cana-3637	8	32	real	real	ADJ
cana-3637	8	33	-	-	PUNCT
cana-3637	8	34	world	world	NOUN
cana-3637	8	35	mobile	mobile	ADJ
cana-3637	8	36	forensic	forensic	ADJ
cana-3637	8	37	data	datum	NOUN
cana-3637	8	38	with	with	ADP
cana-3637	8	39	a	a	DET
cana-3637	8	40	minimal	minimal	ADJ
cana-3637	8	41	amount	amount	NOUN
cana-3637	8	42	of	of	ADP
cana-3637	8	43	dependency	dependency	NOUN
cana-3637	8	44	on	on	ADP
cana-3637	8	45	labeled	label	VERB
cana-3637	8	46	samples	sample	NOUN
cana-3637	8	47	.	.	PUNCT
cana-3637	9	1	empirical	empirical	ADJ
cana-3637	9	2	results	result	NOUN
cana-3637	9	3	have	have	AUX
cana-3637	9	4	shown	show	VERB
cana-3637	9	5	a	a	DET
cana-3637	9	6	significant	significant	ADJ
cana-3637	9	7	improvement	improvement	NOUN
cana-3637	9	8	,	,	PUNCT
cana-3637	9	9	where	where	SCONJ
cana-3637	9	10	cpc	cpc	PROPN
cana-3637	9	11	enhanced	enhance	VERB
cana-3637	9	12	the	the	DET
cana-3637	9	13	quality	quality	NOUN
cana-3637	9	14	of	of	ADP
cana-3637	9	15	the	the	DET
cana-3637	9	16	representation	representation	NOUN
cana-3637	9	17	up	up	ADP
cana-3637	9	18	to	to	PART
cana-3637	9	19	10	10	NUM
cana-3637	9	20	%	%	NOUN
cana-3637	9	21	,	,	PUNCT
cana-3637	9	22	while	while	SCONJ
cana-3637	9	23	maml	maml	NOUN
cana-3637	9	24	accelerated	accelerate	VERB
cana-3637	9	25	the	the	DET
cana-3637	9	26	adaptation	adaptation	NOUN
cana-3637	9	27	speed	speed	NOUN
cana-3637	9	28	by	by	ADP
cana-3637	9	29	20	20	NUM
cana-3637	9	30	%	%	NOUN
cana-3637	9	31	to	to	PART
cana-3637	9	32	25	25	NUM
cana-3637	9	33	%	%	NOUN
cana-3637	9	34	,	,	PUNCT
cana-3637	9	35	and	and	CCONJ
cana-3637	9	36	shap	shap	PROPN
cana-3637	9	37	reached	reach	VERB
cana-3637	9	38	up	up	ADP
cana-3637	9	39	to	to	PART
cana-3637	9	40	90	90	NUM
cana-3637	9	41	%	%	NOUN
cana-3637	9	42	interpretability	interpretability	NOUN
cana-3637	9	43	of	of	ADP
cana-3637	9	44	model	model	NOUN
cana-3637	9	45	decisions	decision	NOUN
cana-3637	9	46	.	.	PUNCT
cana-3637	10	1	it	it	PRON
cana-3637	10	2	will	will	AUX
cana-3637	10	3	bring	bring	VERB
cana-3637	10	4	a	a	DET
cana-3637	10	5	transformative	transformative	ADJ
cana-3637	10	6	approach	approach	NOUN
cana-3637	10	7	toward	toward	ADP
cana-3637	10	8	the	the	DET
cana-3637	10	9	mobile	mobile	ADJ
cana-3637	10	10	forensic	forensic	ADJ
cana-3637	10	11	analysis	analysis	NOUN
cana-3637	10	12	that	that	PRON
cana-3637	10	13	significantly	significantly	ADV
cana-3637	10	14	improves	improve	VERB
cana-3637	10	15	the	the	DET
cana-3637	10	16	ability	ability	NOUN
cana-3637	10	17	to	to	PART
cana-3637	10	18	extract	extract	VERB
cana-3637	10	19	accurate	accurate	ADJ
cana-3637	10	20	and	and	CCONJ
cana-3637	10	21	explainable	explainable	ADJ
cana-3637	10	22	insights	insight	NOUN
cana-3637	10	23	in	in	ADP
cana-3637	10	24	the	the	DET
cana-3637	10	25	support	support	NOUN
cana-3637	10	26	of	of	ADP
cana-3637	10	27	high	high	ADJ
cana-3637	10	28	-	-	PUNCT
cana-3637	10	29	stakes	stake	NOUN
cana-3637	10	30	evidence	evidence	NOUN
cana-3637	10	31	validation	validation	NOUN
cana-3637	10	32	process	process	NOUN
cana-3637	10	33	.	.	PUNCT
cana-3637	11	1	keywords	keyword	NOUN
cana-3637	11	2	:	:	PUNCT
cana-3637	11	3	mobile	mobile	ADJ
cana-3637	11	4	forensics	forensic	NOUN
cana-3637	11	5	,	,	PUNCT
cana-3637	11	6	self	self	NOUN
cana-3637	11	7	-	-	PUNCT
cana-3637	11	8	supervised	supervise	VERB
cana-3637	11	9	learning	learning	NOUN
cana-3637	11	10	,	,	PUNCT
cana-3637	11	11	contrastive	contrastive	ADJ
cana-3637	11	12	predictive	predictive	ADJ
cana-3637	11	13	coding	coding	NOUN
cana-3637	11	14	,	,	PUNCT
cana-3637	11	15	model	model	NOUN
cana-3637	11	16	-	-	ADJ
cana-3637	11	17	agnostic	agnostic	ADJ
cana-3637	11	18	meta	meta	ADJ
cana-3637	11	19	-	-	PUNCT
cana-3637	11	20	learning	learning	NOUN
cana-3637	11	21	,	,	PUNCT
cana-3637	11	22	explainable	explainable	ADJ
cana-3637	11	23	ai	ai	NOUN
cana-3637	11	24	,	,	PUNCT
cana-3637	11	25	scenarios	scenario	NOUN
cana-3637	11	26	.	.	PUNCT
cana-3637	12	1	1	1	X
cana-3637	12	2	.	.	X
cana-3637	12	3	introduction	introduction	NOUN
cana-3637	12	4	with	with	ADP
cana-3637	12	5	this	this	DET
cana-3637	12	6	exponential	exponential	ADJ
cana-3637	12	7	growth	growth	NOUN
cana-3637	12	8	comes	come	VERB
cana-3637	12	9	an	an	DET
cana-3637	12	10	enormous	enormous	ADJ
cana-3637	12	11	amount	amount	NOUN
cana-3637	12	12	of	of	ADP
cana-3637	12	13	complicated	complicated	ADJ
cana-3637	12	14	,	,	PUNCT
cana-3637	12	15	sequential	sequential	ADJ
cana-3637	12	16	data	datum	NOUN
cana-3637	12	17	-	-	PUNCT
cana-3637	12	18	from	from	ADP
cana-3637	12	19	sms	sm	NOUN
cana-3637	12	20	and	and	CCONJ
cana-3637	12	21	call	call	VERB
cana-3637	12	22	logs	log	NOUN
cana-3637	12	23	to	to	ADP
cana-3637	12	24	geolocation	geolocation	NOUN
cana-3637	12	25	-	-	PUNCT
cana-3637	12	26	that	that	PRON
cana-3637	12	27	poses	pose	VERB
cana-3637	12	28	new	new	ADJ
cana-3637	12	29	challenges	challenge	NOUN
cana-3637	12	30	to	to	ADP
cana-3637	12	31	mobile	mobile	ADJ
cana-3637	12	32	forensic	forensic	ADJ
cana-3637	12	33	analysis	analysis	NOUN
cana-3637	12	34	.	.	PUNCT
cana-3637	13	1	traditionally	traditionally	ADV
cana-3637	13	2	,	,	PUNCT
cana-3637	13	3	supervised	supervised	ADJ
cana-3637	13	4	learning	learning	NOUN
cana-3637	13	5	models	model	NOUN
cana-3637	13	6	are	be	AUX
cana-3637	13	7	the	the	DET
cana-3637	13	8	basis	basis	NOUN
cana-3637	13	9	for	for	ADP
cana-3637	13	10	approaches	approach	NOUN
cana-3637	13	11	[	[	X
cana-3637	13	12	1	1	NUM
cana-3637	13	13	,	,	PUNCT
cana-3637	13	14	2	2	NUM
cana-3637	13	15	,	,	PUNCT
cana-3637	13	16	3	3	NUM
cana-3637	13	17	]	]	PUNCT
cana-3637	13	18	.	.	PUNCT
cana-3637	14	1	such	such	ADJ
cana-3637	14	2	models	model	NOUN
cana-3637	14	3	depend	depend	VERB
cana-3637	14	4	heavily	heavily	ADV
cana-3637	14	5	on	on	ADP
cana-3637	14	6	annotated	annotated	ADJ
cana-3637	14	7	data	datum	NOUN
cana-3637	14	8	to	to	PART
cana-3637	14	9	be	be	AUX
cana-3637	14	10	efficiently	efficiently	ADV
cana-3637	14	11	analyzed	analyze	VERB
cana-3637	14	12	and	and	CCONJ
cana-3637	14	13	tend	tend	VERB
cana-3637	14	14	to	to	PART
cana-3637	14	15	be	be	AUX
cana-3637	14	16	not	not	PART
cana-3637	14	17	very	very	ADV
cana-3637	14	18	flexible	flexible	ADJ
cana-3637	14	19	in	in	ADP
cana-3637	14	20	handling	handle	VERB
cana-3637	14	21	changes	change	NOUN
cana-3637	14	22	in	in	ADP
cana-3637	14	23	communications	communication	NOUN
cana-3637	14	24	on	on	ADP
cana-3637	14	25	applied	apply	VERB
cana-3637	14	26	nonlinear	nonlinear	ADJ
cana-3637	14	27	analysis	analysis	NOUN
cana-3637	14	28	issn	issn	NOUN
cana-3637	14	29	:	:	PUNCT
cana-3637	14	30	1074	1074	NUM
cana-3637	14	31	-	-	PUNCT
cana-3637	14	32	133x	133x	NUM
cana-3637	14	33	vol	vol	NOUN
cana-3637	14	34	32	32	NUM
cana-3637	14	35	no	no	NOUN
cana-3637	14	36	.	.	PUNCT
cana-3637	15	1	8s	8s	PROPN
cana-3637	15	2	(	(	PUNCT
cana-3637	15	3	2025	2025	NUM
cana-3637	15	4	)	)	PUNCT
cana-3637	15	5	215	215	NUM
cana-3637	15	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	15	7	inherent	inherent	ADJ
cana-3637	15	8	data	datum	NOUN
cana-3637	15	9	patterns	pattern	NOUN
cana-3637	15	10	due	due	ADP
cana-3637	15	11	to	to	ADP
cana-3637	15	12	the	the	DET
cana-3637	15	13	nature	nature	NOUN
cana-3637	15	14	of	of	ADP
cana-3637	15	15	forensic	forensic	ADJ
cana-3637	15	16	investigations	investigation	NOUN
cana-3637	15	17	.	.	PUNCT
cana-3637	16	1	this	this	PRON
cana-3637	16	2	limits	limit	VERB
cana-3637	16	3	their	their	PRON
cana-3637	16	4	applicability	applicability	NOUN
cana-3637	16	5	in	in	ADP
cana-3637	16	6	real	real	ADJ
cana-3637	16	7	-	-	PUNCT
cana-3637	16	8	world	world	NOUN
cana-3637	16	9	forensic	forensic	ADJ
cana-3637	16	10	cases	case	NOUN
cana-3637	16	11	,	,	PUNCT
cana-3637	16	12	as	as	SCONJ
cana-3637	16	13	the	the	DET
cana-3637	16	14	data	datum	NOUN
cana-3637	16	15	may	may	AUX
cana-3637	16	16	vary	vary	VERB
cana-3637	16	17	from	from	ADP
cana-3637	16	18	case	case	NOUN
cana-3637	16	19	to	to	ADP
cana-3637	16	20	case	case	NOUN
cana-3637	16	21	and	and	CCONJ
cana-3637	16	22	tends	tend	VERB
cana-3637	16	23	to	to	PART
cana-3637	16	24	have	have	VERB
cana-3637	16	25	strong	strong	ADJ
cana-3637	16	26	temporal	temporal	ADJ
cana-3637	16	27	dependencies	dependency	NOUN
cana-3637	16	28	.	.	PUNCT
cana-3637	17	1	such	such	ADJ
cana-3637	17	2	forensic	forensic	ADJ
cana-3637	17	3	data	datum	NOUN
cana-3637	17	4	needs	need	VERB
cana-3637	17	5	both	both	DET
cana-3637	17	6	accuracy	accuracy	NOUN
cana-3637	17	7	and	and	CCONJ
cana-3637	17	8	interpretability	interpretability	NOUN
cana-3637	17	9	while	while	SCONJ
cana-3637	17	10	aiding	aid	VERB
cana-3637	17	11	validation	validation	NOUN
cana-3637	17	12	in	in	ADP
cana-3637	17	13	the	the	DET
cana-3637	17	14	courts	court	NOUN
cana-3637	17	15	.	.	PUNCT
cana-3637	18	1	such	such	ADJ
cana-3637	18	2	advanced	advanced	ADJ
cana-3637	18	3	self	self	NOUN
cana-3637	18	4	-	-	PUNCT
cana-3637	18	5	supervised	supervise	VERB
cana-3637	18	6	learning	learning	NOUN
cana-3637	18	7	techniques	technique	NOUN
cana-3637	18	8	would	would	AUX
cana-3637	18	9	actually	actually	ADV
cana-3637	18	10	extract	extract	VERB
cana-3637	18	11	very	very	ADV
cana-3637	18	12	highquality	highquality	NOUN
cana-3637	18	13	representations	representation	NOUN
cana-3637	18	14	from	from	ADP
cana-3637	18	15	the	the	DET
cana-3637	18	16	raw	raw	ADJ
cana-3637	18	17	,	,	PUNCT
cana-3637	18	18	totally	totally	ADV
cana-3637	18	19	unlabeled	unlabele	VERB
cana-3637	18	20	data	datum	NOUN
cana-3637	18	21	,	,	PUNCT
cana-3637	18	22	offer	offer	VERB
cana-3637	18	23	rapid	rapid	ADJ
cana-3637	18	24	adaptability	adaptability	NOUN
cana-3637	18	25	,	,	PUNCT
cana-3637	18	26	as	as	ADV
cana-3637	18	27	well	well	ADV
cana-3637	18	28	as	as	ADP
cana-3637	18	29	interpretability	interpretability	NOUN
cana-3637	18	30	have	have	AUX
cana-3637	18	31	become	become	VERB
cana-3637	18	32	absolute	absolute	ADJ
cana-3637	18	33	necessities	necessity	NOUN
cana-3637	18	34	for	for	ADP
cana-3637	18	35	this	this	DET
cana-3637	18	36	specific	specific	ADJ
cana-3637	18	37	requirement	requirement	NOUN
cana-3637	18	38	of	of	ADP
cana-3637	18	39	forensics	forensic	NOUN
cana-3637	18	40	.	.	PUNCT
cana-3637	19	1	to	to	PART
cana-3637	19	2	address	address	VERB
cana-3637	19	3	the	the	DET
cana-3637	19	4	problems	problem	NOUN
cana-3637	19	5	stated	state	VERB
cana-3637	19	6	above	above	ADP
cana-3637	19	7	[	[	X
cana-3637	19	8	4	4	NUM
cana-3637	19	9	,	,	PUNCT
cana-3637	19	10	5	5	NUM
cana-3637	19	11	,	,	PUNCT
cana-3637	19	12	6	6	NUM
cana-3637	19	13	]	]	PUNCT
cana-3637	19	14	,	,	PUNCT
cana-3637	19	15	this	this	DET
cana-3637	19	16	paper	paper	NOUN
cana-3637	19	17	proposes	propose	VERB
cana-3637	19	18	an	an	DET
cana-3637	19	19	end	end	NOUN
cana-3637	19	20	-	-	PUNCT
cana-3637	19	21	to	to	ADP
cana-3637	19	22	-	-	PUNCT
cana-3637	19	23	end	end	NOUN
cana-3637	19	24	framework	framework	NOUN
cana-3637	19	25	which	which	PRON
cana-3637	19	26	will	will	AUX
cana-3637	19	27	integrate	integrate	VERB
cana-3637	19	28	contrastive	contrastive	ADJ
cana-3637	19	29	predictive	predictive	ADJ
cana-3637	19	30	coding	code	VERB
cana-3637	19	31	(	(	PUNCT
cana-3637	19	32	cpc	cpc	PROPN
cana-3637	19	33	)	)	PUNCT
cana-3637	19	34	,	,	PUNCT
cana-3637	19	35	model	model	NOUN
cana-3637	19	36	-	-	ADJ
cana-3637	19	37	agnostic	agnostic	ADJ
cana-3637	19	38	meta	meta	ADJ
cana-3637	19	39	-	-	PUNCT
cana-3637	19	40	learning	learn	VERB
cana-3637	19	41	(	(	PUNCT
cana-3637	19	42	maml	maml	PROPN
cana-3637	19	43	)	)	PUNCT
cana-3637	19	44	,	,	PUNCT
cana-3637	19	45	and	and	CCONJ
cana-3637	19	46	shapley	shapley	ADJ
cana-3637	19	47	additive	additive	ADJ
cana-3637	19	48	explanations	explanation	NOUN
cana-3637	19	49	(	(	PUNCT
cana-3637	19	50	shap	shap	NOUN
cana-3637	19	51	)	)	PUNCT
cana-3637	19	52	.	.	PUNCT
cana-3637	20	1	in	in	ADP
cana-3637	20	2	cpc	cpc	PROPN
cana-3637	20	3	,	,	PUNCT
cana-3637	20	4	a	a	DET
cana-3637	20	5	more	more	ADV
cana-3637	20	6	robust	robust	ADJ
cana-3637	20	7	representation	representation	NOUN
cana-3637	20	8	is	be	AUX
cana-3637	20	9	learned	learn	VERB
cana-3637	20	10	on	on	ADP
cana-3637	20	11	unlabeled	unlabeled	ADJ
cana-3637	20	12	mobile	mobile	ADJ
cana-3637	20	13	data	datum	NOUN
cana-3637	20	14	using	use	VERB
cana-3637	20	15	the	the	DET
cana-3637	20	16	principle	principle	NOUN
cana-3637	20	17	of	of	ADP
cana-3637	20	18	past	past	ADJ
cana-3637	20	19	data	datum	NOUN
cana-3637	20	20	information	information	NOUN
cana-3637	20	21	to	to	PART
cana-3637	20	22	predict	predict	VERB
cana-3637	20	23	the	the	DET
cana-3637	20	24	sequence	sequence	NOUN
cana-3637	20	25	's	's	PART
cana-3637	20	26	future	future	ADJ
cana-3637	20	27	data	datum	NOUN
cana-3637	20	28	points	point	NOUN
cana-3637	20	29	.	.	PUNCT
cana-3637	21	1	in	in	ADP
cana-3637	21	2	that	that	DET
cana-3637	21	3	respect	respect	NOUN
cana-3637	21	4	,	,	PUNCT
cana-3637	21	5	by	by	ADP
cana-3637	21	6	maximizing	maximize	VERB
cana-3637	21	7	the	the	DET
cana-3637	21	8	similarities	similarity	NOUN
cana-3637	21	9	in	in	ADP
cana-3637	21	10	correct	correct	ADJ
cana-3637	21	11	future	future	ADJ
cana-3637	21	12	predictions	prediction	NOUN
cana-3637	21	13	and	and	CCONJ
cana-3637	21	14	minimizing	minimize	VERB
cana-3637	21	15	the	the	DET
cana-3637	21	16	similarities	similarity	NOUN
cana-3637	21	17	for	for	ADP
cana-3637	21	18	incorrect	incorrect	ADJ
cana-3637	21	19	predictions	prediction	NOUN
cana-3637	21	20	,	,	PUNCT
cana-3637	21	21	it	it	PRON
cana-3637	21	22	makes	make	VERB
cana-3637	21	23	cpc	cpc	PROPN
cana-3637	21	24	easier	easy	ADJ
cana-3637	21	25	to	to	PART
cana-3637	21	26	extract	extract	VERB
cana-3637	21	27	contextual	contextual	ADJ
cana-3637	21	28	and	and	CCONJ
cana-3637	21	29	temporal	temporal	ADJ
cana-3637	21	30	patterns	pattern	NOUN
cana-3637	21	31	from	from	ADP
cana-3637	21	32	the	the	DET
cana-3637	21	33	mobile	mobile	ADJ
cana-3637	21	34	forensic	forensic	ADJ
cana-3637	21	35	data	datum	NOUN
cana-3637	21	36	samples	sample	NOUN
cana-3637	21	37	,	,	PUNCT
cana-3637	21	38	thus	thus	ADV
cana-3637	21	39	enabling	enable	VERB
cana-3637	21	40	the	the	DET
cana-3637	21	41	framework	framework	NOUN
cana-3637	21	42	to	to	PART
cana-3637	21	43	catch	catch	VERB
cana-3637	21	44	complex	complex	ADJ
cana-3637	21	45	behavioral	behavioral	ADJ
cana-3637	21	46	sequences	sequence	NOUN
cana-3637	21	47	without	without	ADP
cana-3637	21	48	any	any	DET
cana-3637	21	49	need	need	NOUN
cana-3637	21	50	for	for	ADP
cana-3637	21	51	labeled	label	VERB
cana-3637	21	52	training	training	NOUN
cana-3637	21	53	samples	sample	NOUN
cana-3637	21	54	.	.	PUNCT
cana-3637	22	1	maml	maml	NOUN
cana-3637	22	2	adds	add	VERB
cana-3637	22	3	further	far	ADV
cana-3637	22	4	by	by	ADP
cana-3637	22	5	enabling	enable	VERB
cana-3637	22	6	rapid	rapid	ADJ
cana-3637	22	7	adaptability	adaptability	NOUN
cana-3637	22	8	across	across	ADP
cana-3637	22	9	the	the	DET
cana-3637	22	10	various	various	ADJ
cana-3637	22	11	forensic	forensic	ADJ
cana-3637	22	12	tasks	task	NOUN
cana-3637	22	13	.	.	PUNCT
cana-3637	23	1	this	this	PRON
cana-3637	23	2	is	be	AUX
cana-3637	23	3	achieved	achieve	VERB
cana-3637	23	4	through	through	ADP
cana-3637	23	5	the	the	DET
cana-3637	23	6	learning	learning	NOUN
cana-3637	23	7	of	of	ADP
cana-3637	23	8	initial	initial	ADJ
cana-3637	23	9	parameters	parameter	NOUN
cana-3637	23	10	that	that	PRON
cana-3637	23	11	generalize	generalize	VERB
cana-3637	23	12	effectively	effectively	ADV
cana-3637	23	13	;	;	PUNCT
cana-3637	23	14	then	then	ADV
cana-3637	23	15	,	,	PUNCT
cana-3637	23	16	the	the	DET
cana-3637	23	17	model	model	NOUN
cana-3637	23	18	adjusts	adjust	VERB
cana-3637	23	19	quickly	quickly	ADV
cana-3637	23	20	with	with	ADP
cana-3637	23	21	low	low	ADJ
cana-3637	23	22	training	training	NOUN
cana-3637	23	23	on	on	ADP
cana-3637	23	24	new	new	ADJ
cana-3637	23	25	data	datum	NOUN
cana-3637	23	26	patterns	pattern	NOUN
cana-3637	23	27	or	or	CCONJ
cana-3637	23	28	user	user	NOUN
cana-3637	23	29	behaviors	behavior	NOUN
cana-3637	23	30	,	,	PUNCT
cana-3637	23	31	which	which	PRON
cana-3637	23	32	often	often	ADV
cana-3637	23	33	characterize	characterize	VERB
cana-3637	23	34	forensic	forensic	ADJ
cana-3637	23	35	cases	case	NOUN
cana-3637	23	36	.	.	PUNCT
cana-3637	24	1	furthermore	furthermore	ADV
cana-3637	24	2	,	,	PUNCT
cana-3637	24	3	shap	shap	PROPN
cana-3637	24	4	provides	provide	VERB
cana-3637	24	5	importance	importance	NOUN
cana-3637	24	6	values	value	NOUN
cana-3637	24	7	to	to	ADP
cana-3637	24	8	each	each	DET
cana-3637	24	9	feature	feature	NOUN
cana-3637	24	10	based	base	VERB
cana-3637	24	11	on	on	ADP
cana-3637	24	12	calculations	calculation	NOUN
cana-3637	24	13	of	of	ADP
cana-3637	24	14	shapley	shapley	ADJ
cana-3637	24	15	values	value	NOUN
cana-3637	24	16	that	that	PRON
cana-3637	24	17	clarify	clarify	VERB
cana-3637	24	18	specific	specific	ADJ
cana-3637	24	19	features	feature	NOUN
cana-3637	24	20	'	'	PART
cana-3637	24	21	contributions	contribution	NOUN
cana-3637	24	22	to	to	ADP
cana-3637	24	23	the	the	DET
cana-3637	24	24	model	model	NOUN
cana-3637	24	25	's	's	PART
cana-3637	24	26	decision	decision	NOUN
cana-3637	24	27	.	.	PUNCT
cana-3637	25	1	this	this	DET
cana-3637	25	2	step	step	NOUN
cana-3637	25	3	is	be	AUX
cana-3637	25	4	vital	vital	ADJ
cana-3637	25	5	in	in	ADP
cana-3637	25	6	forensic	forensic	ADJ
cana-3637	25	7	applications	application	NOUN
cana-3637	25	8	as	as	SCONJ
cana-3637	25	9	each	each	DET
cana-3637	25	10	feature	feature	NOUN
cana-3637	25	11	impact	impact	NOUN
cana-3637	25	12	has	have	VERB
cana-3637	25	13	to	to	PART
cana-3637	25	14	be	be	AUX
cana-3637	25	15	understood	understand	VERB
cana-3637	25	16	properly	properly	ADV
cana-3637	25	17	so	so	SCONJ
cana-3637	25	18	that	that	SCONJ
cana-3637	25	19	there	there	PRON
cana-3637	25	20	could	could	AUX
cana-3637	25	21	be	be	AUX
cana-3637	25	22	evidence	evidence	NOUN
cana-3637	25	23	-	-	PUNCT
cana-3637	25	24	based	base	VERB
cana-3637	25	25	decisionmaking	decisionmaking	NOUN
cana-3637	25	26	processes	process	NOUN
cana-3637	25	27	.	.	PUNCT
cana-3637	26	1	thus	thus	ADV
cana-3637	26	2	,	,	PUNCT
cana-3637	26	3	the	the	DET
cana-3637	26	4	proposed	propose	VERB
cana-3637	26	5	framework	framework	NOUN
cana-3637	26	6	provides	provide	VERB
cana-3637	26	7	an	an	DET
cana-3637	26	8	intelligible	intelligible	ADJ
cana-3637	26	9	,	,	PUNCT
cana-3637	26	10	adaptive	adaptive	ADJ
cana-3637	26	11	,	,	PUNCT
cana-3637	26	12	and	and	CCONJ
cana-3637	26	13	interpretable	interpretable	ADJ
cana-3637	26	14	solution	solution	NOUN
cana-3637	26	15	on	on	ADP
cana-3637	26	16	the	the	DET
cana-3637	26	17	basis	basis	NOUN
cana-3637	26	18	of	of	ADP
cana-3637	26	19	specific	specific	ADJ
cana-3637	26	20	complexities	complexity	NOUN
cana-3637	26	21	posed	pose	VERB
cana-3637	26	22	by	by	ADP
cana-3637	26	23	mobile	mobile	ADJ
cana-3637	26	24	forensic	forensic	ADJ
cana-3637	26	25	data	datum	NOUN
cana-3637	26	26	analysis	analysis	NOUN
cana-3637	26	27	.	.	PUNCT
cana-3637	27	1	this	this	DET
cana-3637	27	2	integration	integration	NOUN
cana-3637	27	3	of	of	ADP
cana-3637	27	4	cpc	cpc	PROPN
cana-3637	27	5	for	for	ADP
cana-3637	27	6	feature	feature	NOUN
cana-3637	27	7	extraction	extraction	NOUN
cana-3637	27	8	,	,	PUNCT
cana-3637	27	9	maml	maml	VERB
cana-3637	27	10	for	for	ADP
cana-3637	27	11	adaptability	adaptability	NOUN
cana-3637	27	12	,	,	PUNCT
cana-3637	27	13	and	and	CCONJ
cana-3637	27	14	shap	shap	NOUN
cana-3637	27	15	for	for	ADP
cana-3637	27	16	interpretability	interpretability	NOUN
cana-3637	27	17	results	result	NOUN
cana-3637	27	18	in	in	ADP
cana-3637	27	19	the	the	DET
cana-3637	27	20	creation	creation	NOUN
cana-3637	27	21	of	of	ADP
cana-3637	27	22	a	a	DET
cana-3637	27	23	pipeline	pipeline	NOUN
cana-3637	27	24	that	that	PRON
cana-3637	27	25	is	be	AUX
cana-3637	27	26	not	not	PART
cana-3637	27	27	only	only	ADV
cana-3637	27	28	capable	capable	ADJ
cana-3637	27	29	of	of	ADP
cana-3637	27	30	capturing	capture	VERB
cana-3637	27	31	nuanced	nuanced	ADJ
cana-3637	27	32	temporal	temporal	ADJ
cana-3637	27	33	data	datum	NOUN
cana-3637	27	34	relationships	relationship	NOUN
cana-3637	27	35	but	but	CCONJ
cana-3637	27	36	also	also	ADV
cana-3637	27	37	furnishes	furnish	VERB
cana-3637	27	38	in	in	ADP
cana-3637	27	39	an	an	DET
cana-3637	27	40	unprecedented	unprecedented	ADJ
cana-3637	27	41	way	way	NOUN
cana-3637	27	42	the	the	DET
cana-3637	27	43	flexibility	flexibility	NOUN
cana-3637	27	44	and	and	CCONJ
cana-3637	27	45	transparency	transparency	NOUN
cana-3637	27	46	required	require	VERB
cana-3637	27	47	in	in	ADP
cana-3637	27	48	forensic	forensic	ADJ
cana-3637	27	49	investigations	investigation	NOUN
cana-3637	27	50	in	in	ADP
cana-3637	27	51	process	process	NOUN
cana-3637	27	52	.	.	PUNCT
cana-3637	28	1	this	this	DET
cana-3637	28	2	model	model	NOUN
cana-3637	28	3	represents	represent	VERB
cana-3637	28	4	an	an	DET
cana-3637	28	5	important	important	ADJ
cana-3637	28	6	advance	advance	NOUN
cana-3637	28	7	over	over	ADP
cana-3637	28	8	traditional	traditional	ADJ
cana-3637	28	9	methods	method	NOUN
cana-3637	28	10	because	because	SCONJ
cana-3637	28	11	it	it	PRON
cana-3637	28	12	successfully	successfully	ADV
cana-3637	28	13	handles	handle	VERB
cana-3637	28	14	limitations	limitation	NOUN
cana-3637	28	15	of	of	ADP
cana-3637	28	16	quality	quality	NOUN
cana-3637	28	17	of	of	ADP
cana-3637	28	18	representation	representation	NOUN
cana-3637	28	19	,	,	PUNCT
cana-3637	28	20	adaptability	adaptability	NOUN
cana-3637	28	21	,	,	PUNCT
cana-3637	28	22	and	and	CCONJ
cana-3637	28	23	interpretability	interpretability	NOUN
cana-3637	28	24	scenarios	scenario	NOUN
cana-3637	28	25	through	through	ADP
cana-3637	28	26	the	the	DET
cana-3637	28	27	power	power	NOUN
cana-3637	28	28	of	of	ADP
cana-3637	28	29	self	self	NOUN
cana-3637	28	30	-	-	PUNCT
cana-3637	28	31	supervised	supervise	VERB
cana-3637	28	32	and	and	CCONJ
cana-3637	28	33	meta	meta	ADV
cana-3637	28	34	-	-	PUNCT
cana-3637	28	35	learning	learn	VERB
cana-3637	28	36	approaches	approach	NOUN
cana-3637	28	37	.	.	PUNCT
cana-3637	29	1	the	the	DET
cana-3637	29	2	paper	paper	NOUN
cana-3637	29	3	will	will	AUX
cana-3637	29	4	help	help	VERB
cana-3637	29	5	explain	explain	VERB
cana-3637	29	6	the	the	DET
cana-3637	29	7	way	way	NOUN
cana-3637	29	8	for	for	ADP
cana-3637	29	9	more	more	ADV
cana-3637	29	10	exact	exact	ADJ
cana-3637	29	11	mobile	mobile	ADJ
cana-3637	29	12	forensic	forensic	ADJ
cana-3637	29	13	analysis	analysis	NOUN
cana-3637	29	14	through	through	ADP
cana-3637	29	15	explanation	explanation	NOUN
cana-3637	29	16	.	.	PUNCT
cana-3637	30	1	motivation	motivation	NOUN
cana-3637	30	2	and	and	CCONJ
cana-3637	30	3	contribution	contribution	NOUN
cana-3637	30	4	this	this	DET
cana-3637	30	5	motivation	motivation	NOUN
cana-3637	30	6	for	for	ADP
cana-3637	30	7	research	research	NOUN
cana-3637	30	8	emanates	emanate	VERB
cana-3637	30	9	from	from	ADP
cana-3637	30	10	the	the	DET
cana-3637	30	11	increasing	increase	VERB
cana-3637	30	12	need	need	NOUN
cana-3637	30	13	for	for	ADP
cana-3637	30	14	adaptive	adaptive	ADJ
cana-3637	30	15	,	,	PUNCT
cana-3637	30	16	high	high	ADJ
cana-3637	30	17	-	-	PUNCT
cana-3637	30	18	quality	quality	NOUN
cana-3637	30	19	representation	representation	NOUN
cana-3637	30	20	learning	learning	NOUN
cana-3637	30	21	models	model	NOUN
cana-3637	30	22	that	that	PRON
cana-3637	30	23	will	will	AUX
cana-3637	30	24	be	be	AUX
cana-3637	30	25	able	able	ADJ
cana-3637	30	26	to	to	PART
cana-3637	30	27	effectively	effectively	ADV
cana-3637	30	28	handle	handle	VERB
cana-3637	30	29	complexities	complexity	NOUN
cana-3637	30	30	in	in	ADP
cana-3637	30	31	mobile	mobile	ADJ
cana-3637	30	32	forensic	forensic	ADJ
cana-3637	30	33	data	datum	NOUN
cana-3637	30	34	samples	sample	NOUN
cana-3637	30	35	.	.	PUNCT
cana-3637	31	1	most	most	ADJ
cana-3637	31	2	of	of	ADP
cana-3637	31	3	the	the	DET
cana-3637	31	4	available	available	ADJ
cana-3637	31	5	models	model	NOUN
cana-3637	31	6	are	be	AUX
cana-3637	31	7	constrained	constrain	VERB
cana-3637	31	8	by	by	ADP
cana-3637	31	9	dependency	dependency	NOUN
cana-3637	31	10	on	on	ADP
cana-3637	31	11	supervised	supervised	ADJ
cana-3637	31	12	learning	learning	NOUN
cana-3637	31	13	,	,	PUNCT
cana-3637	31	14	have	have	VERB
cana-3637	31	15	large	large	ADJ
cana-3637	31	16	amounts	amount	NOUN
cana-3637	31	17	of	of	ADP
cana-3637	31	18	labeled	label	VERB
cana-3637	31	19	datasets	dataset	NOUN
cana-3637	31	20	,	,	PUNCT
cana-3637	31	21	and	and	CCONJ
cana-3637	31	22	do	do	AUX
cana-3637	31	23	not	not	PART
cana-3637	31	24	adjust	adjust	VERB
cana-3637	31	25	to	to	ADP
cana-3637	31	26	the	the	DET
cana-3637	31	27	changing	change	VERB
cana-3637	31	28	nature	nature	NOUN
cana-3637	31	29	that	that	PRON
cana-3637	31	30	often	often	ADV
cana-3637	31	31	characterizes	characterize	VERB
cana-3637	31	32	the	the	DET
cana-3637	31	33	kind	kind	NOUN
cana-3637	31	34	of	of	ADP
cana-3637	31	35	data	datum	NOUN
cana-3637	31	36	patterns	pattern	NOUN
cana-3637	31	37	found	find	VERB
cana-3637	31	38	in	in	ADP
cana-3637	31	39	forensic	forensic	ADJ
cana-3637	31	40	scenarios	scenario	NOUN
cana-3637	31	41	.	.	PUNCT
cana-3637	32	1	limitations	limitation	NOUN
cana-3637	32	2	currently	currently	ADV
cana-3637	32	3	,	,	PUNCT
cana-3637	32	4	it	it	PRON
cana-3637	32	5	is	be	AUX
cana-3637	32	6	about	about	ADP
cana-3637	32	7	such	such	ADJ
cana-3637	32	8	those	those	PRON
cana-3637	32	9	that	that	PRON
cana-3637	32	10	could	could	AUX
cana-3637	32	11	stop	stop	VERB
cana-3637	32	12	a	a	DET
cana-3637	32	13	forensic	forensic	ADJ
cana-3637	32	14	investigator	investigator	NOUN
cana-3637	32	15	from	from	ADP
cana-3637	32	16	being	be	AUX
cana-3637	32	17	action	action	NOUN
cana-3637	32	18	relevant	relevant	ADJ
cana-3637	32	19	with	with	ADP
cana-3637	32	20	data	datum	NOUN
cana-3637	32	21	that	that	PRON
cana-3637	32	22	can	can	AUX
cana-3637	32	23	variably	variably	ADV
cana-3637	32	24	change	change	VERB
cana-3637	32	25	between	between	ADP
cana-3637	32	26	user	user	NOUN
cana-3637	32	27	-	-	PUNCT
cana-3637	32	28	case	case	NOUN
cana-3637	32	29	-	-	PUNCT
cana-3637	32	30	time	time	NOUN
cana-3637	32	31	.	.	PUNCT
cana-3637	33	1	this	this	DET
cana-3637	33	2	paper	paper	NOUN
cana-3637	33	3	shall	shall	AUX
cana-3637	33	4	focus	focus	VERB
cana-3637	33	5	on	on	ADP
cana-3637	33	6	self	self	NOUN
cana-3637	33	7	-	-	PUNCT
cana-3637	33	8	supervised	supervise	VERB
cana-3637	33	9	and	and	CCONJ
cana-3637	33	10	meta	meta	ADJ
cana-3637	33	11	-	-	PUNCT
cana-3637	33	12	learning	learn	VERB
cana-3637	33	13	methods	method	NOUN
cana-3637	33	14	so	so	SCONJ
cana-3637	33	15	as	as	SCONJ
cana-3637	33	16	to	to	PART
cana-3637	33	17	try	try	VERB
cana-3637	33	18	creating	create	VERB
cana-3637	33	19	this	this	DET
cana-3637	33	20	bridge	bridge	NOUN
cana-3637	33	21	of	of	ADP
cana-3637	33	22	representation	representation	NOUN
cana-3637	33	23	quality	quality	NOUN
cana-3637	33	24	adaptability	adaptability	NOUN
cana-3637	33	25	in	in	ADP
cana-3637	33	26	a	a	DET
cana-3637	33	27	possibility	possibility	NOUN
cana-3637	33	28	in	in	ADP
cana-3637	33	29	which	which	PRON
cana-3637	33	30	such	such	ADJ
cana-3637	33	31	solution	solution	NOUN
cana-3637	33	32	allows	allow	VERB
cana-3637	33	33	catching	catch	VERB
cana-3637	33	34	sequential	sequential	ADJ
cana-3637	33	35	dependencies	dependency	NOUN
cana-3637	33	36	within	within	ADP
cana-3637	33	37	the	the	DET
cana-3637	33	38	cell	cell	NOUN
cana-3637	33	39	phone	phone	NOUN
cana-3637	33	40	data	datum	NOUN
cana-3637	33	41	and	and	CCONJ
cana-3637	33	42	adjusts	adjust	VERB
cana-3637	33	43	a	a	DET
cana-3637	33	44	novel	novel	ADJ
cana-3637	33	45	pattern	pattern	NOUN
cana-3637	33	46	without	without	ADP
cana-3637	33	47	excessive	excessive	ADJ
cana-3637	33	48	retuning	retuning	NOUN
cana-3637	33	49	.	.	PUNCT
cana-3637	34	1	this	this	DET
cana-3637	34	2	adaptability	adaptability	NOUN
cana-3637	34	3	is	be	AUX
cana-3637	34	4	crucial	crucial	ADJ
cana-3637	34	5	to	to	ADP
cana-3637	34	6	user	user	NOUN
cana-3637	34	7	behavior	behavior	NOUN
cana-3637	34	8	and	and	CCONJ
cana-3637	34	9	datapattern	datapattern	ADJ
cana-3637	34	10	changes	change	NOUN
cana-3637	34	11	in	in	ADP
cana-3637	34	12	forensic	forensic	ADJ
cana-3637	34	13	investigations	investigation	NOUN
cana-3637	34	14	,	,	PUNCT
cana-3637	34	15	and	and	CCONJ
cana-3637	34	16	therefore	therefore	ADV
cana-3637	34	17	,	,	PUNCT
cana-3637	34	18	a	a	DET
cana-3637	34	19	model	model	NOUN
cana-3637	34	20	that	that	PRON
cana-3637	34	21	will	will	AUX
cana-3637	34	22	render	render	VERB
cana-3637	34	23	an	an	DET
cana-3637	34	24	accurate	accurate	ADJ
cana-3637	34	25	and	and	CCONJ
cana-3637	34	26	current	current	ADJ
cana-3637	34	27	analysis	analysis	NOUN
cana-3637	34	28	without	without	ADP
cana-3637	34	29	absorbing	absorb	VERB
cana-3637	34	30	the	the	DET
cana-3637	34	31	cost	cost	NOUN
cana-3637	34	32	of	of	ADP
cana-3637	34	33	significant	significant	ADJ
cana-3637	34	34	retraining	retraining	NOUN
cana-3637	34	35	becomes	become	VERB
cana-3637	34	36	indispensable	indispensable	ADJ
cana-3637	34	37	.	.	PUNCT
cana-3637	35	1	this	this	DET
cana-3637	35	2	communications	communication	NOUN
cana-3637	35	3	on	on	ADP
cana-3637	35	4	applied	apply	VERB
cana-3637	35	5	nonlinear	nonlinear	ADJ
cana-3637	35	6	analysis	analysis	NOUN
cana-3637	35	7	issn	issn	NOUN
cana-3637	35	8	:	:	PUNCT
cana-3637	35	9	1074	1074	NUM
cana-3637	35	10	-	-	PUNCT
cana-3637	35	11	133x	133x	NUM
cana-3637	35	12	vol	vol	NOUN
cana-3637	35	13	32	32	NUM
cana-3637	35	14	no	no	NOUN
cana-3637	35	15	.	.	PUNCT
cana-3637	36	1	8s	8s	PROPN
cana-3637	36	2	(	(	PUNCT
cana-3637	36	3	2025	2025	NUM
cana-3637	36	4	)	)	PUNCT
cana-3637	36	5	216	216	NUM
cana-3637	36	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	36	7	work	work	NOUN
cana-3637	36	8	contributes	contribute	VERB
cana-3637	36	9	by	by	ADP
cana-3637	36	10	making	make	VERB
cana-3637	36	11	an	an	DET
cana-3637	36	12	integrated	integrated	ADJ
cana-3637	36	13	model	model	NOUN
cana-3637	36	14	based	base	VERB
cana-3637	36	15	on	on	ADP
cana-3637	36	16	cpc	cpc	PROPN
cana-3637	36	17	,	,	PUNCT
cana-3637	36	18	maml	maml	PROPN
cana-3637	36	19	,	,	PUNCT
cana-3637	36	20	and	and	CCONJ
cana-3637	36	21	shap	shap	PROPN
cana-3637	36	22	to	to	PART
cana-3637	36	23	handle	handle	VERB
cana-3637	36	24	the	the	DET
cana-3637	36	25	features	feature	NOUN
cana-3637	36	26	of	of	ADP
cana-3637	36	27	extraction	extraction	NOUN
cana-3637	36	28	,	,	PUNCT
cana-3637	36	29	rapid	rapid	ADJ
cana-3637	36	30	adaptation	adaptation	NOUN
cana-3637	36	31	,	,	PUNCT
cana-3637	36	32	and	and	CCONJ
cana-3637	36	33	explainability	explainability	NOUN
cana-3637	36	34	in	in	ADP
cana-3637	36	35	mobile	mobile	ADJ
cana-3637	36	36	forensic	forensic	ADJ
cana-3637	36	37	analysis	analysis	NOUN
cana-3637	36	38	.	.	PUNCT
cana-3637	37	1	in	in	ADP
cana-3637	37	2	mobile	mobile	ADJ
cana-3637	37	3	data	datum	NOUN
cana-3637	37	4	,	,	PUNCT
cana-3637	37	5	cpc	cpc	PROPN
cana-3637	37	6	can	can	AUX
cana-3637	37	7	learn	learn	VERB
cana-3637	37	8	with	with	ADP
cana-3637	37	9	unlabeled	unlabeled	ADJ
cana-3637	37	10	sequences	sequence	NOUN
cana-3637	37	11	by	by	ADP
cana-3637	37	12	capturing	capture	VERB
cana-3637	37	13	the	the	DET
cana-3637	37	14	temporal	temporal	ADJ
cana-3637	37	15	relationship	relationship	NOUN
cana-3637	37	16	within	within	ADP
cana-3637	37	17	sequences	sequence	NOUN
cana-3637	37	18	,	,	PUNCT
cana-3637	37	19	which	which	PRON
cana-3637	37	20	improves	improve	VERB
cana-3637	37	21	the	the	DET
cana-3637	37	22	quality	quality	NOUN
cana-3637	37	23	of	of	ADP
cana-3637	37	24	representation	representation	NOUN
cana-3637	37	25	.	.	PUNCT
cana-3637	38	1	maml	maml	PROPN
cana-3637	38	2	gives	give	VERB
cana-3637	38	3	an	an	DET
cana-3637	38	4	adaptive	adaptive	ADJ
cana-3637	38	5	framework	framework	NOUN
cana-3637	38	6	which	which	PRON
cana-3637	38	7	learns	learn	VERB
cana-3637	38	8	to	to	PART
cana-3637	38	9	quickly	quickly	ADV
cana-3637	38	10	generalize	generalize	VERB
cana-3637	38	11	for	for	ADP
cana-3637	38	12	any	any	DET
cana-3637	38	13	new	new	ADJ
cana-3637	38	14	forensic	forensic	ADJ
cana-3637	38	15	tasks	task	NOUN
cana-3637	38	16	,	,	PUNCT
cana-3637	38	17	saving	save	VERB
cana-3637	38	18	time	time	NOUN
cana-3637	38	19	for	for	ADP
cana-3637	38	20	training	training	NOUN
cana-3637	38	21	and	and	CCONJ
cana-3637	38	22	needing	need	VERB
cana-3637	38	23	fewer	few	ADJ
cana-3637	38	24	computational	computational	ADJ
cana-3637	38	25	resources	resource	NOUN
cana-3637	38	26	.	.	PUNCT
cana-3637	39	1	for	for	ADP
cana-3637	39	2	interpretability	interpretability	NOUN
cana-3637	39	3	,	,	PUNCT
cana-3637	39	4	shap	shap	PROPN
cana-3637	39	5	provides	provide	VERB
cana-3637	39	6	a	a	DET
cana-3637	39	7	tool	tool	NOUN
cana-3637	39	8	which	which	PRON
cana-3637	39	9	may	may	AUX
cana-3637	39	10	assign	assign	VERB
cana-3637	39	11	feature	feature	NOUN
cana-3637	39	12	importance	importance	NOUN
cana-3637	39	13	towards	towards	ADP
cana-3637	39	14	generating	generate	VERB
cana-3637	39	15	transparency	transparency	NOUN
cana-3637	39	16	,	,	PUNCT
cana-3637	39	17	making	make	VERB
cana-3637	39	18	it	it	PRON
cana-3637	39	19	more	more	ADV
cana-3637	39	20	understandable	understandable	ADJ
cana-3637	39	21	in	in	ADP
cana-3637	39	22	the	the	DET
cana-3637	39	23	event	event	NOUN
cana-3637	39	24	the	the	DET
cana-3637	39	25	model	model	NOUN
cana-3637	39	26	produces	produce	VERB
cana-3637	39	27	a	a	DET
cana-3637	39	28	forensic	forensic	ADJ
cana-3637	39	29	-	-	PUNCT
cana-3637	39	30	validation	validation	NOUN
cana-3637	39	31	prediction	prediction	NOUN
cana-3637	39	32	.	.	PUNCT
cana-3637	40	1	these	these	DET
cana-3637	40	2	joint	joint	ADJ
cana-3637	40	3	frameworks	framework	NOUN
cana-3637	40	4	,	,	PUNCT
cana-3637	40	5	in	in	ADP
cana-3637	40	6	addition	addition	NOUN
cana-3637	40	7	to	to	ADP
cana-3637	40	8	providing	provide	VERB
cana-3637	40	9	great	great	ADJ
cana-3637	40	10	performance	performance	NOUN
cana-3637	40	11	in	in	ADP
cana-3637	40	12	feature	feature	NOUN
cana-3637	40	13	extraction	extraction	NOUN
cana-3637	40	14	as	as	ADV
cana-3637	40	15	well	well	ADV
cana-3637	40	16	as	as	ADP
cana-3637	40	17	adaptability	adaptability	NOUN
cana-3637	40	18	,	,	PUNCT
cana-3637	40	19	generally	generally	ADV
cana-3637	40	20	result	result	VERB
cana-3637	40	21	in	in	ADP
cana-3637	40	22	improved	improved	ADJ
cana-3637	40	23	interpretability	interpretability	NOUN
cana-3637	40	24	with	with	ADP
cana-3637	40	25	good	good	ADJ
cana-3637	40	26	fitting	fitting	ADJ
cana-3637	40	27	into	into	ADP
cana-3637	40	28	forensic	forensic	NOUN
cana-3637	40	29	-	-	PUNCT
cana-3637	40	30	related	relate	VERB
cana-3637	40	31	environments	environment	NOUN
cana-3637	40	32	where	where	SCONJ
cana-3637	40	33	the	the	DET
cana-3637	40	34	decisions	decision	NOUN
cana-3637	40	35	made	make	VERB
cana-3637	40	36	by	by	ADP
cana-3637	40	37	the	the	DET
cana-3637	40	38	models	model	NOUN
cana-3637	40	39	could	could	AUX
cana-3637	40	40	be	be	AUX
cana-3637	40	41	traced	trace	VERB
cana-3637	40	42	in	in	ADP
cana-3637	40	43	trace	trace	NOUN
cana-3637	40	44	form	form	NOUN
cana-3637	40	45	.	.	PUNCT
cana-3637	41	1	all	all	DET
cana-3637	41	2	such	such	ADJ
cana-3637	41	3	contributions	contribution	NOUN
cana-3637	41	4	form	form	VERB
cana-3637	41	5	an	an	DET
cana-3637	41	6	important	important	ADJ
cana-3637	41	7	breakthrough	breakthrough	NOUN
cana-3637	41	8	in	in	ADP
cana-3637	41	9	applying	apply	VERB
cana-3637	41	10	data	datum	NOUN
cana-3637	41	11	analysis	analysis	NOUN
cana-3637	41	12	with	with	ADP
cana-3637	41	13	respect	respect	NOUN
cana-3637	41	14	to	to	ADP
cana-3637	41	15	forensics	forensic	NOUN
cana-3637	41	16	for	for	ADP
cana-3637	41	17	being	be	AUX
cana-3637	41	18	capable	capable	ADJ
cana-3637	41	19	of	of	ADP
cana-3637	41	20	obtaining	obtain	VERB
cana-3637	41	21	more	more	ADV
cana-3637	41	22	adaptable	adaptable	ADJ
cana-3637	41	23	and	and	CCONJ
cana-3637	41	24	interpretable	interpretable	ADJ
cana-3637	41	25	models	model	NOUN
cana-3637	41	26	compared	compare	VERB
cana-3637	41	27	to	to	ADP
cana-3637	41	28	the	the	DET
cana-3637	41	29	original	original	ADJ
cana-3637	41	30	models	model	NOUN
cana-3637	41	31	based	base	VERB
cana-3637	41	32	on	on	ADP
cana-3637	41	33	real	real	ADJ
cana-3637	41	34	mobile	mobile	ADJ
cana-3637	41	35	forensic	forensic	NOUN
cana-3637	41	36	-	-	PUNCT
cana-3637	41	37	related	relate	VERB
cana-3637	41	38	applications	application	NOUN
cana-3637	41	39	.	.	PUNCT
cana-3637	42	1	2	2	X
cana-3637	42	2	.	.	X
cana-3637	42	3	deep	deep	ADJ
cana-3637	42	4	dive	dive	NOUN
cana-3637	42	5	into	into	ADP
cana-3637	42	6	forensic	forensic	ADJ
cana-3637	42	7	models	model	NOUN
cana-3637	42	8	the	the	DET
cana-3637	42	9	review	review	NOUN
cana-3637	42	10	of	of	ADP
cana-3637	42	11	existing	exist	VERB
cana-3637	42	12	methods	method	NOUN
cana-3637	42	13	suggests	suggest	VERB
cana-3637	42	14	an	an	DET
cana-3637	42	15	evolving	evolve	VERB
cana-3637	42	16	pace	pace	NOUN
cana-3637	42	17	in	in	ADP
cana-3637	42	18	forensic	forensic	ADJ
cana-3637	42	19	analysis	analysis	NOUN
cana-3637	42	20	because	because	SCONJ
cana-3637	42	21	machine	machine	NOUN
cana-3637	42	22	learning	learning	NOUN
cana-3637	42	23	and	and	CCONJ
cana-3637	42	24	data	data	NOUN
cana-3637	42	25	-	-	PUNCT
cana-3637	42	26	driven	drive	VERB
cana-3637	42	27	approaches	approach	NOUN
cana-3637	42	28	emerged	emerge	VERB
cana-3637	42	29	to	to	PART
cana-3637	42	30	be	be	AUX
cana-3637	42	31	crucial	crucial	ADJ
cana-3637	42	32	enablers	enabler	NOUN
cana-3637	42	33	of	of	ADP
cana-3637	42	34	the	the	DET
cana-3637	42	35	accuracy	accuracy	NOUN
cana-3637	42	36	and	and	CCONJ
cana-3637	42	37	efficiency	efficiency	NOUN
cana-3637	42	38	of	of	ADP
cana-3637	42	39	this	this	DET
cana-3637	42	40	science	science	NOUN
cana-3637	42	41	.	.	PUNCT
cana-3637	43	1	this	this	DET
cana-3637	43	2	work	work	NOUN
cana-3637	43	3	starting	start	VERB
cana-3637	43	4	with	with	ADP
cana-3637	43	5	[	[	X
cana-3637	43	6	1	1	X
cana-3637	43	7	]	]	PUNCT
cana-3637	43	8	is	be	AUX
cana-3637	43	9	on	on	ADP
cana-3637	43	10	forensic	forensic	ADJ
cana-3637	43	11	identification	identification	NOUN
cana-3637	43	12	by	by	ADP
cana-3637	43	13	metabolomics	metabolomic	NOUN
cana-3637	43	14	and	and	CCONJ
cana-3637	43	15	machine	machine	NOUN
cana-3637	43	16	learning	learn	VERB
cana-3637	43	17	to	to	PART
cana-3637	43	18	develop	develop	VERB
cana-3637	43	19	an	an	DET
cana-3637	43	20	innovative	innovative	ADJ
cana-3637	43	21	approach	approach	NOUN
cana-3637	43	22	toward	toward	ADP
cana-3637	43	23	deciding	decide	VERB
cana-3637	43	24	cardiac	cardiac	ADJ
cana-3637	43	25	death	death	NOUN
cana-3637	43	26	integrating	integrate	VERB
cana-3637	43	27	biochemical	biochemical	ADJ
cana-3637	43	28	markers	marker	NOUN
cana-3637	43	29	and	and	CCONJ
cana-3637	43	30	computational	computational	ADJ
cana-3637	43	31	intelligence	intelligence	NOUN
cana-3637	43	32	.	.	PUNCT
cana-3637	44	1	this	this	PRON
cana-3637	44	2	may	may	AUX
cana-3637	44	3	allow	allow	VERB
cana-3637	44	4	for	for	ADP
cana-3637	44	5	more	more	ADV
cana-3637	44	6	extensive	extensive	ADJ
cana-3637	44	7	use	use	NOUN
cana-3637	44	8	in	in	ADP
cana-3637	44	9	forensic	forensic	ADJ
cana-3637	44	10	analysis	analysis	NOUN
cana-3637	44	11	due	due	ADP
cana-3637	44	12	to	to	ADP
cana-3637	44	13	the	the	DET
cana-3637	44	14	insight	insight	NOUN
cana-3637	44	15	into	into	ADP
cana-3637	44	16	metabolomic	metabolomic	ADJ
cana-3637	44	17	patterns	pattern	NOUN
cana-3637	44	18	and	and	CCONJ
cana-3637	44	19	opening	open	VERB
cana-3637	44	20	the	the	DET
cana-3637	44	21	door	door	NOUN
cana-3637	44	22	for	for	ADP
cana-3637	44	23	other	other	ADJ
cana-3637	44	24	biomarker	biomarker	NOUN
cana-3637	44	25	-	-	PUNCT
cana-3637	44	26	based	base	VERB
cana-3637	44	27	analyses	analysis	NOUN
cana-3637	44	28	.	.	PUNCT
cana-3637	45	1	building	build	VERB
cana-3637	45	2	on	on	ADP
cana-3637	45	3	this	this	DET
cana-3637	45	4	direction	direction	NOUN
cana-3637	45	5	,	,	PUNCT
cana-3637	45	6	ghosh	ghosh	PROPN
cana-3637	45	7	et	et	PROPN
cana-3637	45	8	al	al	PROPN
cana-3637	45	9	.	.	PUNCT
cana-3637	46	1	[	[	X
cana-3637	46	2	2	2	NUM
cana-3637	46	3	]	]	PUNCT
cana-3637	46	4	developed	develop	VERB
cana-3637	46	5	an	an	DET
cana-3637	46	6	android	android	PROPN
cana-3637	46	7	malware	malware	NOUN
cana-3637	46	8	detection	detection	NOUN
cana-3637	46	9	framework	framework	NOUN
cana-3637	46	10	that	that	PRON
cana-3637	46	11	used	use	VERB
cana-3637	46	12	machine	machine	NOUN
cana-3637	46	13	learning	learn	VERB
cana-3637	46	14	to	to	PART
cana-3637	46	15	prevent	prevent	VERB
cana-3637	46	16	rats	rat	NOUN
cana-3637	46	17	,	,	PUNCT
cana-3637	46	18	a	a	DET
cana-3637	46	19	critical	critical	ADJ
cana-3637	46	20	step	step	NOUN
cana-3637	46	21	forward	forward	ADV
cana-3637	46	22	in	in	ADP
cana-3637	46	23	cybersecurity	cybersecurity	NOUN
cana-3637	46	24	within	within	ADP
cana-3637	46	25	mobile	mobile	ADJ
cana-3637	46	26	forensics	forensic	NOUN
cana-3637	46	27	,	,	PUNCT
cana-3637	46	28	and	and	CCONJ
cana-3637	46	29	further	far	ADV
cana-3637	46	30	explored	explore	VERB
cana-3637	46	31	by	by	ADP
cana-3637	46	32	kirubavathi	kirubavathi	NOUN
cana-3637	46	33	and	and	CCONJ
cana-3637	46	34	anne	anne	PROPN
cana-3637	47	1	[	[	X
cana-3637	47	2	3	3	NUM
cana-3637	47	3	]	]	PUNCT
cana-3637	47	4	,	,	PUNCT
cana-3637	47	5	who	who	PRON
cana-3637	47	6	focused	focus	VERB
cana-3637	47	7	on	on	ADP
cana-3637	47	8	the	the	DET
cana-3637	47	9	detection	detection	NOUN
cana-3637	47	10	of	of	ADP
cana-3637	47	11	android	android	PROPN
cana-3637	47	12	ransomware	ransomware	NOUN
cana-3637	47	13	through	through	ADP
cana-3637	47	14	behavioral	behavioral	ADJ
cana-3637	47	15	profiling	profiling	NOUN
cana-3637	47	16	.	.	PUNCT
cana-3637	48	1	their	their	PRON
cana-3637	48	2	work	work	NOUN
cana-3637	48	3	successfully	successfully	ADV
cana-3637	48	4	brings	bring	VERB
cana-3637	48	5	about	about	ADP
cana-3637	48	6	the	the	DET
cana-3637	48	7	need	need	NOUN
cana-3637	48	8	for	for	ADP
cana-3637	48	9	dynamic	dynamic	ADJ
cana-3637	48	10	threat	threat	NOUN
cana-3637	48	11	detection	detection	NOUN
cana-3637	48	12	in	in	ADP
cana-3637	48	13	real	real	ADJ
cana-3637	48	14	time	time	NOUN
cana-3637	48	15	in	in	ADP
cana-3637	48	16	an	an	DET
cana-3637	48	17	area	area	NOUN
cana-3637	48	18	where	where	SCONJ
cana-3637	48	19	traditional	traditional	ADJ
cana-3637	48	20	mechanisms	mechanism	NOUN
cana-3637	48	21	fail	fail	VERB
cana-3637	48	22	to	to	PART
cana-3637	48	23	keep	keep	VERB
cana-3637	48	24	up	up	ADP
cana-3637	48	25	with	with	ADP
cana-3637	48	26	fast	fast	ADV
cana-3637	48	27	-	-	PUNCT
cana-3637	48	28	evolving	evolve	VERB
cana-3637	48	29	malware	malware	NOUN
cana-3637	48	30	behaviors	behavior	NOUN
cana-3637	48	31	.	.	PUNCT
cana-3637	49	1	machine	machine	NOUN
cana-3637	49	2	learning	learning	NOUN
cana-3637	49	3	is	be	AUX
cana-3637	49	4	relevant	relevant	ADJ
cana-3637	49	5	for	for	ADP
cana-3637	49	6	most	most	ADJ
cana-3637	49	7	forensic	forensic	ADJ
cana-3637	49	8	scenarios	scenario	NOUN
cana-3637	49	9	and	and	CCONJ
cana-3637	49	10	to	to	ADP
cana-3637	49	11	cybercrime	cybercrime	NOUN
cana-3637	49	12	prevention	prevention	NOUN
cana-3637	49	13	.	.	PUNCT
cana-3637	50	1	a	a	DET
cana-3637	50	2	prime	prime	ADJ
cana-3637	50	3	example	example	NOUN
cana-3637	50	4	is	be	AUX
cana-3637	50	5	min	min	PROPN
cana-3637	50	6	and	and	CCONJ
cana-3637	50	7	lee	lee	PROPN
cana-3637	51	1	[	[	X
cana-3637	51	2	4	4	NUM
cana-3637	51	3	]	]	PUNCT
cana-3637	51	4	,	,	PUNCT
cana-3637	51	5	with	with	ADP
cana-3637	51	6	their	their	PRON
cana-3637	51	7	illegal	illegal	ADJ
cana-3637	51	8	gambling	gambling	NOUN
cana-3637	51	9	detection	detection	NOUN
cana-3637	51	10	on	on	ADP
cana-3637	51	11	the	the	DET
cana-3637	51	12	basis	basis	NOUN
cana-3637	51	13	of	of	ADP
cana-3637	51	14	resource	resource	NOUN
cana-3637	51	15	-	-	PUNCT
cana-3637	51	16	oriented	orient	VERB
cana-3637	51	17	machine	machine	NOUN
cana-3637	51	18	learning	learning	NOUN
cana-3637	51	19	,	,	PUNCT
cana-3637	51	20	thereby	thereby	ADV
cana-3637	51	21	rendering	render	VERB
cana-3637	51	22	the	the	DET
cana-3637	51	23	approach	approach	NOUN
cana-3637	51	24	scalable	scalable	ADJ
cana-3637	51	25	toward	toward	ADP
cana-3637	51	26	a	a	DET
cana-3637	51	27	comprehensive	comprehensive	ADJ
cana-3637	51	28	identification	identification	NOUN
cana-3637	51	29	and	and	CCONJ
cana-3637	51	30	analysis	analysis	NOUN
cana-3637	51	31	process	process	NOUN
cana-3637	51	32	for	for	ADP
cana-3637	51	33	high	high	ADJ
cana-3637	51	34	-	-	PUNCT
cana-3637	51	35	risk	risk	NOUN
cana-3637	51	36	gambling	gambling	NOUN
cana-3637	51	37	websites	website	NOUN
cana-3637	51	38	.	.	PUNCT
cana-3637	52	1	similarly	similarly	ADV
cana-3637	52	2	,	,	PUNCT
cana-3637	52	3	moubarak	moubarak	VERB
cana-3637	52	4	et	et	PROPN
cana-3637	52	5	al	al	PROPN
cana-3637	52	6	.	.	PUNCT
cana-3637	53	1	[	[	X
cana-3637	53	2	5	5	X
cana-3637	53	3	]	]	PUNCT
cana-3637	53	4	exploit	exploit	VERB
cana-3637	53	5	smartphone	smartphone	NOUN
cana-3637	53	6	sensors	sensor	NOUN
cana-3637	53	7	to	to	PART
cana-3637	53	8	classify	classify	VERB
cana-3637	53	9	human	human	ADJ
cana-3637	53	10	activities	activity	NOUN
cana-3637	53	11	and	and	CCONJ
cana-3637	53	12	take	take	VERB
cana-3637	53	13	a	a	DET
cana-3637	53	14	step	step	NOUN
cana-3637	53	15	forward	forward	ADV
cana-3637	53	16	in	in	ADP
cana-3637	53	17	the	the	DET
cana-3637	53	18	field	field	NOUN
cana-3637	53	19	of	of	ADP
cana-3637	53	20	user	user	NOUN
cana-3637	53	21	profiling	profiling	NOUN
cana-3637	53	22	for	for	ADP
cana-3637	53	23	mobile	mobile	ADJ
cana-3637	53	24	forensics	forensic	NOUN
cana-3637	53	25	.	.	PUNCT
cana-3637	54	1	mobile	mobile	ADJ
cana-3637	54	2	-	-	PUNCT
cana-3637	54	3	oriented	orient	VERB
cana-3637	54	4	approaches	approach	NOUN
cana-3637	54	5	thus	thus	ADV
cana-3637	54	6	pave	pave	VERB
cana-3637	54	7	the	the	DET
cana-3637	54	8	way	way	NOUN
cana-3637	54	9	for	for	ADP
cana-3637	54	10	sophisticated	sophisticated	ADJ
cana-3637	54	11	forensic	forensic	ADJ
cana-3637	54	12	applications	application	NOUN
cana-3637	54	13	in	in	ADP
cana-3637	54	14	highly	highly	ADV
cana-3637	54	15	interactive	interactive	ADJ
cana-3637	54	16	digital	digital	ADJ
cana-3637	54	17	environments	environment	NOUN
cana-3637	54	18	,	,	PUNCT
cana-3637	54	19	as	as	ADP
cana-3637	54	20	in	in	ADP
cana-3637	54	21	the	the	DET
cana-3637	54	22	case	case	NOUN
cana-3637	54	23	of	of	ADP
cana-3637	54	24	the	the	DET
cana-3637	54	25	mona	mona	PROPN
cana-3637	54	26	platform	platform	PROPN
cana-3637	54	27	by	by	ADP
cana-3637	54	28	spranger	spranger	NOUN
cana-3637	54	29	et	et	PROPN
cana-3637	54	30	al	al	PROPN
cana-3637	54	31	.	.	PUNCT
cana-3637	55	1	[	[	X
cana-3637	55	2	6	6	NUM
cana-3637	55	3	]	]	PUNCT
cana-3637	55	4	,	,	PUNCT
cana-3637	55	5	which	which	PRON
cana-3637	55	6	allows	allow	VERB
cana-3637	55	7	mobile	mobile	ADJ
cana-3637	55	8	communication	communication	NOUN
cana-3637	55	9	analysis	analysis	NOUN
cana-3637	55	10	.	.	PUNCT
cana-3637	56	1	moving	move	VERB
cana-3637	56	2	forward	forward	ADV
cana-3637	56	3	to	to	ADP
cana-3637	56	4	physical	physical	ADJ
cana-3637	56	5	forensics	forensic	NOUN
cana-3637	56	6	,	,	PUNCT
cana-3637	56	7	zimmermann	zimmermann	PROPN
cana-3637	56	8	et	et	PROPN
cana-3637	56	9	al	al	PROPN
cana-3637	56	10	.	.	PUNCT
cana-3637	57	1	[	[	X
cana-3637	57	2	7	7	X
cana-3637	57	3	]	]	PUNCT
cana-3637	57	4	introduce	introduce	VERB
cana-3637	57	5	automated	automate	VERB
cana-3637	57	6	wound	wound	NOUN
cana-3637	57	7	segmentation	segmentation	NOUN
cana-3637	57	8	using	use	VERB
cana-3637	57	9	machine	machine	NOUN
cana-3637	57	10	learning	learning	NOUN
cana-3637	57	11	,	,	PUNCT
cana-3637	57	12	which	which	PRON
cana-3637	57	13	demonstrates	demonstrate	VERB
cana-3637	57	14	the	the	DET
cana-3637	57	15	cross	cross	ADJ
cana-3637	57	16	-	-	ADJ
cana-3637	57	17	domain	domain	ADJ
cana-3637	57	18	applications	application	NOUN
cana-3637	57	19	of	of	ADP
cana-3637	57	20	ai	ai	NOUN
cana-3637	57	21	in	in	ADP
cana-3637	57	22	process	process	NOUN
cana-3637	57	23	.	.	PUNCT
cana-3637	58	1	casey	casey	NOUN
cana-3637	58	2	et	et	PROPN
cana-3637	58	3	al	al	PROPN
cana-3637	58	4	.	.	PUNCT
cana-3637	59	1	[	[	X
cana-3637	59	2	8	8	NUM
cana-3637	59	3	]	]	PUNCT
cana-3637	59	4	shift	shift	VERB
cana-3637	59	5	the	the	DET
cana-3637	59	6	focus	focus	NOUN
cana-3637	59	7	toward	toward	ADP
cana-3637	59	8	education	education	NOUN
cana-3637	59	9	,	,	PUNCT
cana-3637	59	10	using	use	VERB
cana-3637	59	11	a	a	DET
cana-3637	59	12	gender	gender	NOUN
cana-3637	59	13	-	-	PUNCT
cana-3637	59	14	inclusive	inclusive	ADJ
cana-3637	59	15	digital	digital	ADJ
cana-3637	59	16	forensic	forensic	ADJ
cana-3637	59	17	program	program	NOUN
cana-3637	59	18	to	to	PART
cana-3637	59	19	foster	foster	VERB
cana-3637	59	20	stem	stem	NOUN
cana-3637	59	21	interest	interest	NOUN
cana-3637	59	22	among	among	ADP
cana-3637	59	23	youth	youth	NOUN
cana-3637	59	24	,	,	PUNCT
cana-3637	59	25	demonstrating	demonstrate	VERB
cana-3637	59	26	the	the	DET
cana-3637	59	27	broader	broad	ADJ
cana-3637	59	28	societal	societal	ADJ
cana-3637	59	29	implications	implication	NOUN
cana-3637	59	30	of	of	ADP
cana-3637	59	31	forensic	forensic	ADJ
cana-3637	59	32	advancements	advancement	NOUN
cana-3637	59	33	.	.	PUNCT
cana-3637	60	1	in	in	ADP
cana-3637	60	2	the	the	DET
cana-3637	60	3	iot	iot	NOUN
cana-3637	60	4	realm	realm	NOUN
cana-3637	60	5	,	,	PUNCT
cana-3637	60	6	castelo	castelo	NOUN
cana-3637	60	7	gómez	gómez	NOUN
cana-3637	60	8	and	and	CCONJ
cana-3637	60	9	ruiz	ruiz	NOUN
cana-3637	60	10	-	-	PUNCT
cana-3637	60	11	villafranca	villafranca	NOUN
cana-3637	61	1	[	[	X
cana-3637	61	2	9	9	NUM
cana-3637	61	3	]	]	PUNCT
cana-3637	61	4	discussed	discuss	VERB
cana-3637	61	5	forensic	forensic	ADJ
cana-3637	61	6	challenges	challenge	NOUN
cana-3637	61	7	in	in	ADP
cana-3637	61	8	edge	edge	NOUN
cana-3637	61	9	computing	compute	VERB
cana-3637	61	10	by	by	ADP
cana-3637	61	11	emphasizing	emphasize	VERB
cana-3637	61	12	the	the	DET
cana-3637	61	13	need	need	NOUN
cana-3637	61	14	for	for	ADP
cana-3637	61	15	distributed	distribute	VERB
cana-3637	61	16	methodologies	methodology	NOUN
cana-3637	61	17	to	to	PART
cana-3637	61	18	manage	manage	VERB
cana-3637	61	19	influxes	influx	NOUN
cana-3637	61	20	of	of	ADP
cana-3637	61	21	data	datum	NOUN
cana-3637	61	22	.	.	PUNCT
cana-3637	62	1	further	further	ADJ
cana-3637	62	2	development	development	NOUN
cana-3637	62	3	in	in	ADP
cana-3637	62	4	the	the	DET
cana-3637	62	5	forensic	forensic	ADJ
cana-3637	62	6	application	application	NOUN
cana-3637	62	7	of	of	ADP
cana-3637	62	8	metabolomics	metabolomic	NOUN
cana-3637	62	9	is	be	AUX
cana-3637	62	10	in	in	ADP
cana-3637	62	11	zhang	zhang	PROPN
cana-3637	62	12	et	et	PROPN
cana-3637	62	13	al	al	PROPN
cana-3637	62	14	.	.	PUNCT
cana-3637	63	1	[	[	X
cana-3637	63	2	10	10	NUM
cana-3637	63	3	]	]	PUNCT
cana-3637	63	4	,	,	PUNCT
cana-3637	63	5	who	who	PRON
cana-3637	63	6	estimated	estimate	VERB
cana-3637	63	7	postmortem	postmortem	NOUN
cana-3637	63	8	intervals	interval	NOUN
cana-3637	63	9	using	use	VERB
cana-3637	63	10	nontargeted	nontargete	VERB
cana-3637	63	11	metabolomics	metabolomic	NOUN
cana-3637	63	12	:	:	PUNCT
cana-3637	63	13	another	another	DET
cana-3637	63	14	dimension	dimension	NOUN
cana-3637	63	15	of	of	ADP
cana-3637	63	16	time	time	NOUN
cana-3637	63	17	-	-	PUNCT
cana-3637	63	18	of	of	ADP
cana-3637	63	19	-	-	PUNCT
cana-3637	63	20	death	death	NOUN
cana-3637	63	21	analysis	analysis	NOUN
cana-3637	63	22	.	.	PUNCT
cana-3637	64	1	this	this	PRON
cana-3637	64	2	is	be	AUX
cana-3637	64	3	reflected	reflect	VERB
cana-3637	64	4	in	in	ADP
cana-3637	64	5	the	the	DET
cana-3637	64	6	work	work	NOUN
cana-3637	64	7	of	of	ADP
cana-3637	64	8	seo	seo	NOUN
cana-3637	64	9	et	et	PROPN
cana-3637	64	10	al	al	PROPN
cana-3637	64	11	.	.	PUNCT
cana-3637	65	1	[	[	X
cana-3637	65	2	11	11	NUM
cana-3637	65	3	]	]	PUNCT
cana-3637	65	4	on	on	ADP
cana-3637	65	5	a	a	DET
cana-3637	65	6	metaverse	metaverse	ADJ
cana-3637	65	7	forensic	forensic	ADJ
cana-3637	65	8	communications	communication	NOUN
cana-3637	65	9	on	on	ADP
cana-3637	65	10	applied	apply	VERB
cana-3637	65	11	nonlinear	nonlinear	ADJ
cana-3637	65	12	analysis	analysis	NOUN
cana-3637	65	13	issn	issn	NOUN
cana-3637	65	14	:	:	PUNCT
cana-3637	65	15	1074	1074	NUM
cana-3637	65	16	-	-	PUNCT
cana-3637	65	17	133x	133x	NUM
cana-3637	65	18	vol	vol	NOUN
cana-3637	65	19	32	32	NUM
cana-3637	65	20	no	no	NOUN
cana-3637	65	21	.	.	PUNCT
cana-3637	66	1	8s	8s	PROPN
cana-3637	66	2	(	(	PUNCT
cana-3637	66	3	2025	2025	NUM
cana-3637	66	4	)	)	PUNCT
cana-3637	66	5	217	217	NUM
cana-3637	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	66	7	framework	framework	NOUN
cana-3637	66	8	,	,	PUNCT
cana-3637	66	9	which	which	PRON
cana-3637	66	10	reflects	reflect	VERB
cana-3637	66	11	how	how	SCONJ
cana-3637	66	12	digital	digital	ADJ
cana-3637	66	13	forensics	forensic	NOUN
cana-3637	66	14	must	must	AUX
cana-3637	66	15	evolve	evolve	VERB
cana-3637	66	16	with	with	ADP
cana-3637	66	17	emerging	emerge	VERB
cana-3637	66	18	technologies	technology	NOUN
cana-3637	66	19	.	.	PUNCT
cana-3637	67	1	mishra	mishra	PROPN
cana-3637	67	2	et	et	PROPN
cana-3637	67	3	al	al	PROPN
cana-3637	67	4	.	.	PUNCT
cana-3637	68	1	[	[	X
cana-3637	68	2	12	12	NUM
cana-3637	68	3	]	]	PUNCT
cana-3637	68	4	take	take	VERB
cana-3637	68	5	on	on	ADP
cana-3637	68	6	image	image	NOUN
cana-3637	68	7	forgery	forgery	NOUN
cana-3637	68	8	,	,	PUNCT
cana-3637	68	9	a	a	DET
cana-3637	68	10	key	key	ADJ
cana-3637	68	11	area	area	NOUN
cana-3637	68	12	in	in	ADP
cana-3637	68	13	forensic	forensic	ADJ
cana-3637	68	14	credibility	credibility	NOUN
cana-3637	68	15	,	,	PUNCT
cana-3637	68	16	by	by	ADP
cana-3637	68	17	presenting	present	VERB
cana-3637	68	18	a	a	DET
cana-3637	68	19	method	method	NOUN
cana-3637	68	20	for	for	ADP
cana-3637	68	21	robustly	robustly	ADV
cana-3637	68	22	detecting	detect	VERB
cana-3637	68	23	image	image	NOUN
cana-3637	68	24	manipulation	manipulation	NOUN
cana-3637	68	25	,	,	PUNCT
cana-3637	68	26	which	which	PRON
cana-3637	68	27	resonates	resonate	VERB
cana-3637	68	28	with	with	ADP
cana-3637	68	29	related	related	ADJ
cana-3637	68	30	studies	study	NOUN
cana-3637	68	31	on	on	ADP
cana-3637	68	32	cyber	cyber	PROPN
cana-3637	68	33	forensics	forensic	NOUN
cana-3637	68	34	.	.	PUNCT
cana-3637	69	1	as	as	SCONJ
cana-3637	69	2	the	the	DET
cana-3637	69	3	cryptocurrencies	cryptocurrencie	NOUN
cana-3637	69	4	are	be	AUX
cana-3637	69	5	growing	grow	VERB
cana-3637	69	6	,	,	PUNCT
cana-3637	69	7	nerurkar	nerurkar	PROPN
cana-3637	70	1	[	[	X
cana-3637	70	2	13	13	NUM
cana-3637	70	3	]	]	PUNCT
cana-3637	70	4	ventured	venture	VERB
cana-3637	70	5	into	into	ADP
cana-3637	70	6	the	the	DET
cana-3637	70	7	illegal	illegal	ADJ
cana-3637	70	8	activities	activity	NOUN
cana-3637	70	9	detection	detection	NOUN
cana-3637	70	10	using	use	VERB
cana-3637	70	11	deep	deep	ADJ
cana-3637	70	12	learning	learning	NOUN
cana-3637	70	13	for	for	ADP
cana-3637	70	14	bitcoins	bitcoin	NOUN
cana-3637	70	15	.	.	PUNCT
cana-3637	71	1	he	he	PRON
cana-3637	71	2	emphasized	emphasize	VERB
cana-3637	71	3	the	the	DET
cana-3637	71	4	necessity	necessity	NOUN
cana-3637	71	5	to	to	PART
cana-3637	71	6	be	be	AUX
cana-3637	71	7	vigilant	vigilant	ADJ
cana-3637	71	8	in	in	ADP
cana-3637	71	9	the	the	DET
cana-3637	71	10	applications	application	NOUN
cana-3637	71	11	of	of	ADP
cana-3637	71	12	blockchain	blockchain	PROPN
cana-3637	71	13	technologies	technologies	PROPN
cana-3637	71	14	.	.	PUNCT
cana-3637	72	1	a	a	DET
cana-3637	72	2	survey	survey	NOUN
cana-3637	72	3	on	on	ADP
cana-3637	72	4	multimedia	multimedia	ADJ
cana-3637	72	5	forensic	forensic	ADJ
cana-3637	72	6	analysis	analysis	NOUN
cana-3637	72	7	is	be	AUX
cana-3637	72	8	conducted	conduct	VERB
cana-3637	72	9	by	by	ADP
cana-3637	72	10	diwan	diwan	PROPN
cana-3637	72	11	and	and	CCONJ
cana-3637	72	12	sonkar	sonkar	NOUN
cana-3637	73	1	[	[	X
cana-3637	73	2	14	14	NUM
cana-3637	73	3	]	]	PUNCT
cana-3637	73	4	,	,	PUNCT
cana-3637	73	5	which	which	PRON
cana-3637	73	6	reflects	reflect	VERB
cana-3637	73	7	the	the	DET
cana-3637	73	8	role	role	NOUN
cana-3637	73	9	of	of	ADP
cana-3637	73	10	multimedia	multimedia	NOUN
cana-3637	73	11	in	in	ADP
cana-3637	73	12	crimes	crime	NOUN
cana-3637	73	13	as	as	ADV
cana-3637	73	14	well	well	ADV
cana-3637	73	15	as	as	ADP
cana-3637	73	16	in	in	ADP
cana-3637	73	17	the	the	DET
cana-3637	73	18	process	process	NOUN
cana-3637	73	19	of	of	ADP
cana-3637	73	20	forensic	forensic	ADJ
cana-3637	73	21	investigation	investigation	NOUN
cana-3637	73	22	,	,	PUNCT
cana-3637	73	23	where	where	SCONJ
cana-3637	73	24	rajeev	rajeev	PROPN
cana-3637	73	25	and	and	CCONJ
cana-3637	73	26	raviraj	raviraj	ADJ
cana-3637	73	27	[	[	X
cana-3637	73	28	15	15	NUM
cana-3637	73	29	]	]	PUNCT
cana-3637	73	30	have	have	AUX
cana-3637	73	31	provided	provide	VERB
cana-3637	73	32	a	a	DET
cana-3637	73	33	holistic	holistic	ADJ
cana-3637	73	34	review	review	NOUN
cana-3637	73	35	of	of	ADP
cana-3637	73	36	network	network	NOUN
cana-3637	73	37	forensics	forensic	NOUN
cana-3637	73	38	,	,	PUNCT
cana-3637	73	39	focusing	focus	VERB
cana-3637	73	40	on	on	ADP
cana-3637	73	41	the	the	DET
cana-3637	73	42	digital	digital	ADJ
cana-3637	73	43	networks	network	NOUN
cana-3637	73	44	and	and	CCONJ
cana-3637	73	45	forensic	forensic	ADJ
cana-3637	73	46	science	science	NOUN
cana-3637	73	47	interplay	interplay	NOUN
cana-3637	73	48	sets	set	NOUN
cana-3637	73	49	.	.	PUNCT
cana-3637	74	1	table	table	NOUN
cana-3637	74	2	1	1	NUM
cana-3637	74	3	.	.	PUNCT
cana-3637	74	4	comparative	comparative	ADJ
cana-3637	74	5	review	review	NOUN
cana-3637	74	6	of	of	ADP
cana-3637	74	7	existing	exist	VERB
cana-3637	74	8	methods	method	NOUN
cana-3637	74	9	method	method	VERB
cana-3637	74	10	paper	paper	NOUN
cana-3637	74	11	focus	focus	NOUN
cana-3637	74	12	area	area	NOUN
cana-3637	74	13	findings	finding	VERB
cana-3637	74	14	metabolomics	metabolomic	NOUN
cana-3637	74	15	and	and	CCONJ
cana-3637	74	16	machine	machine	NOUN
cana-3637	74	17	learning	learn	VERB
cana-3637	74	18	[	[	X
cana-3637	74	19	1	1	NUM
cana-3637	74	20	]	]	PUNCT
cana-3637	74	21	forensic	forensic	ADJ
cana-3637	74	22	identification	identification	NOUN
cana-3637	74	23	combines	combine	VERB
cana-3637	74	24	metabolomics	metabolomic	NOUN
cana-3637	74	25	and	and	CCONJ
cana-3637	74	26	ml	ml	AUX
cana-3637	74	27	to	to	PART
cana-3637	74	28	identify	identify	VERB
cana-3637	74	29	cardiac	cardiac	ADV
cana-3637	74	30	-	-	PUNCT
cana-3637	74	31	related	relate	VERB
cana-3637	74	32	sudden	sudden	ADJ
cana-3637	74	33	death	death	NOUN
cana-3637	74	34	,	,	PUNCT
cana-3637	74	35	showing	show	VERB
cana-3637	74	36	significant	significant	ADJ
cana-3637	74	37	potential	potential	NOUN
cana-3637	74	38	for	for	ADP
cana-3637	74	39	biomarker	biomarker	NOUN
cana-3637	74	40	-	-	PUNCT
cana-3637	74	41	based	base	VERB
cana-3637	74	42	forensic	forensic	ADJ
cana-3637	74	43	identification	identification	NOUN
cana-3637	74	44	.	.	PUNCT
cana-3637	75	1	android	android	PROPN
cana-3637	75	2	rat	rat	NOUN
cana-3637	75	3	detection	detection	NOUN
cana-3637	75	4	[	[	X
cana-3637	75	5	2	2	NUM
cana-3637	75	6	]	]	X
cana-3637	75	7	mobile	mobile	ADJ
cana-3637	75	8	forensics	forensic	NOUN
cana-3637	75	9	proactive	proactive	ADJ
cana-3637	75	10	machine	machine	NOUN
cana-3637	75	11	learning	learn	VERB
cana-3637	75	12	approach	approach	NOUN
cana-3637	75	13	to	to	PART
cana-3637	75	14	detect	detect	VERB
cana-3637	75	15	android	android	PROPN
cana-3637	75	16	rats	rat	NOUN
cana-3637	75	17	,	,	PUNCT
cana-3637	75	18	enhancing	enhance	VERB
cana-3637	75	19	mobile	mobile	ADJ
cana-3637	75	20	forensic	forensic	ADJ
cana-3637	75	21	capabilities	capability	NOUN
cana-3637	75	22	in	in	ADP
cana-3637	75	23	detecting	detect	VERB
cana-3637	75	24	real	real	ADJ
cana-3637	75	25	-	-	PUNCT
cana-3637	75	26	time	time	NOUN
cana-3637	75	27	threats	threat	NOUN
cana-3637	75	28	.	.	PUNCT
cana-3637	76	1	behavioral	behavioral	ADJ
cana-3637	76	2	detection	detection	NOUN
cana-3637	76	3	of	of	ADP
cana-3637	76	4	ransomware	ransomware	NOUN
cana-3637	76	5	[	[	X
cana-3637	76	6	3	3	NUM
cana-3637	76	7	]	]	X
cana-3637	76	8	mobile	mobile	ADJ
cana-3637	76	9	forensics	forensic	NOUN
cana-3637	76	10	detects	detect	NOUN
cana-3637	76	11	ransomware	ransomware	NOUN
cana-3637	76	12	on	on	ADP
cana-3637	76	13	android	android	PROPN
cana-3637	76	14	based	base	VERB
cana-3637	76	15	on	on	ADP
cana-3637	76	16	behavior	behavior	NOUN
cana-3637	76	17	,	,	PUNCT
cana-3637	76	18	allowing	allow	VERB
cana-3637	76	19	for	for	ADP
cana-3637	76	20	dynamic	dynamic	ADJ
cana-3637	76	21	threat	threat	NOUN
cana-3637	76	22	detection	detection	NOUN
cana-3637	76	23	,	,	PUNCT
cana-3637	76	24	particularly	particularly	ADV
cana-3637	76	25	valuable	valuable	ADJ
cana-3637	76	26	as	as	SCONJ
cana-3637	76	27	malware	malware	NOUN
cana-3637	76	28	techniques	technique	NOUN
cana-3637	76	29	evolve	evolve	VERB
cana-3637	76	30	.	.	PUNCT
cana-3637	77	1	illegal	illegal	ADJ
cana-3637	77	2	gambling	gambling	NOUN
cana-3637	77	3	detection	detection	NOUN
cana-3637	77	4	[	[	X
cana-3637	77	5	4	4	X
cana-3637	77	6	]	]	X
cana-3637	77	7	cybercrime	cybercrime	NOUN
cana-3637	77	8	machine	machine	NOUN
cana-3637	77	9	learning	learn	VERB
cana-3637	77	10	to	to	PART
cana-3637	77	11	analyze	analyze	VERB
cana-3637	77	12	online	online	ADJ
cana-3637	77	13	gambling	gambling	NOUN
cana-3637	77	14	sites	site	NOUN
cana-3637	77	15	,	,	PUNCT
cana-3637	77	16	effectively	effectively	ADV
cana-3637	77	17	identifying	identify	VERB
cana-3637	77	18	high	high	ADJ
cana-3637	77	19	-	-	PUNCT
cana-3637	77	20	risk	risk	NOUN
cana-3637	77	21	illegal	illegal	ADJ
cana-3637	77	22	gambling	gambling	NOUN
cana-3637	77	23	activities	activity	NOUN
cana-3637	77	24	with	with	ADP
cana-3637	77	25	a	a	DET
cana-3637	77	26	scalable	scalable	ADJ
cana-3637	77	27	,	,	PUNCT
cana-3637	77	28	resource	resource	NOUN
cana-3637	77	29	-	-	PUNCT
cana-3637	77	30	oriented	orient	VERB
cana-3637	77	31	approach	approach	NOUN
cana-3637	77	32	.	.	PUNCT
cana-3637	78	1	smartphone	smartphone	NOUN
cana-3637	78	2	sensorbased	sensorbase	VERB
cana-3637	78	3	activity	activity	NOUN
cana-3637	78	4	classification	classification	NOUN
cana-3637	78	5	[	[	X
cana-3637	78	6	5	5	NUM
cana-3637	78	7	]	]	X
cana-3637	78	8	mobile	mobile	NOUN
cana-3637	78	9	forensics	forensic	NOUN
cana-3637	78	10	uses	use	VERB
cana-3637	78	11	smartphone	smartphone	NOUN
cana-3637	78	12	sensors	sensor	NOUN
cana-3637	78	13	for	for	ADP
cana-3637	78	14	forensic	forensic	ADJ
cana-3637	78	15	classification	classification	NOUN
cana-3637	78	16	of	of	ADP
cana-3637	78	17	human	human	ADJ
cana-3637	78	18	activities	activity	NOUN
cana-3637	78	19	,	,	PUNCT
cana-3637	78	20	improving	improve	VERB
cana-3637	78	21	context	context	NOUN
cana-3637	78	22	-	-	PUNCT
cana-3637	78	23	based	base	VERB
cana-3637	78	24	profiling	profiling	NOUN
cana-3637	78	25	in	in	ADP
cana-3637	78	26	forensic	forensic	ADJ
cana-3637	78	27	investigations	investigation	NOUN
cana-3637	78	28	.	.	PUNCT
cana-3637	79	1	automated	automate	VERB
cana-3637	79	2	wound	wound	NOUN
cana-3637	79	3	segmentation	segmentation	NOUN
cana-3637	79	4	[	[	X
cana-3637	79	5	7	7	X
cana-3637	79	6	]	]	X
cana-3637	79	7	physical	physical	ADJ
cana-3637	79	8	forensics	forensic	NOUN
cana-3637	79	9	applies	apply	VERB
cana-3637	79	10	machine	machine	NOUN
cana-3637	79	11	learning	learn	VERB
cana-3637	79	12	to	to	PART
cana-3637	79	13	classify	classify	VERB
cana-3637	79	14	injuries	injury	NOUN
cana-3637	79	15	,	,	PUNCT
cana-3637	79	16	streamlining	streamline	VERB
cana-3637	79	17	forensic	forensic	ADJ
cana-3637	79	18	wound	wound	NOUN
cana-3637	79	19	analysis	analysis	NOUN
cana-3637	79	20	and	and	CCONJ
cana-3637	79	21	improving	improve	VERB
cana-3637	79	22	segmentation	segmentation	NOUN
cana-3637	79	23	accuracy	accuracy	NOUN
cana-3637	79	24	.	.	PUNCT
cana-3637	80	1	metaverse	metaverse	ADJ
cana-3637	80	2	forensic	forensic	ADJ
cana-3637	80	3	framework	framework	NOUN
cana-3637	80	4	[	[	X
cana-3637	80	5	11	11	NUM
cana-3637	80	6	]	]	X
cana-3637	80	7	digital	digital	ADJ
cana-3637	80	8	forensics	forensic	NOUN
cana-3637	80	9	in	in	ADP
cana-3637	80	10	virtual	virtual	ADJ
cana-3637	80	11	worlds	world	NOUN
cana-3637	80	12	proposes	propose	VERB
cana-3637	80	13	a	a	DET
cana-3637	80	14	digital	digital	ADJ
cana-3637	80	15	forensic	forensic	ADJ
cana-3637	80	16	framework	framework	NOUN
cana-3637	80	17	for	for	ADP
cana-3637	80	18	the	the	DET
cana-3637	80	19	metaverse	metaverse	NOUN
cana-3637	80	20	,	,	PUNCT
cana-3637	80	21	addressing	address	VERB
cana-3637	80	22	the	the	DET
cana-3637	80	23	need	need	NOUN
cana-3637	80	24	for	for	ADP
cana-3637	80	25	analysis	analysis	NOUN
cana-3637	80	26	in	in	ADP
cana-3637	80	27	emerging	emerge	VERB
cana-3637	80	28	virtual	virtual	ADJ
cana-3637	80	29	environments	environment	NOUN
cana-3637	80	30	.	.	PUNCT
cana-3637	81	1	bitcoin	bitcoin	ADJ
cana-3637	81	2	activity	activity	NOUN
cana-3637	81	3	detection	detection	NOUN
cana-3637	81	4	[	[	X
cana-3637	81	5	13	13	NUM
cana-3637	81	6	]	]	PUNCT
cana-3637	81	7	cryptocurrency	cryptocurrency	NOUN
cana-3637	81	8	forensics	forensic	NOUN
cana-3637	81	9	deep	deep	ADJ
cana-3637	81	10	learning	learn	VERB
cana-3637	81	11	to	to	PART
cana-3637	81	12	identify	identify	VERB
cana-3637	81	13	illegal	illegal	ADJ
cana-3637	81	14	activities	activity	NOUN
cana-3637	81	15	on	on	ADP
cana-3637	81	16	bitcoin	bitcoin	NOUN
cana-3637	81	17	transactions	transaction	NOUN
cana-3637	81	18	,	,	PUNCT
cana-3637	81	19	offering	offer	VERB
cana-3637	81	20	a	a	DET
cana-3637	81	21	novel	novel	ADJ
cana-3637	81	22	approach	approach	NOUN
cana-3637	81	23	to	to	ADP
cana-3637	81	24	forensic	forensic	ADJ
cana-3637	81	25	analysis	analysis	NOUN
cana-3637	81	26	in	in	ADP
cana-3637	81	27	blockchain	blockchain	PROPN
cana-3637	81	28	networks	network	NOUN
cana-3637	81	29	.	.	PUNCT
cana-3637	82	1	image	image	NOUN
cana-3637	82	2	forgery	forgery	NOUN
cana-3637	82	3	detection	detection	NOUN
cana-3637	82	4	[	[	X
cana-3637	82	5	16	16	NUM
cana-3637	82	6	]	]	PUNCT
cana-3637	82	7	image	image	NOUN
cana-3637	82	8	forensics	forensic	NOUN
cana-3637	82	9	blind	blind	ADJ
cana-3637	82	10	forgery	forgery	NOUN
cana-3637	82	11	detection	detection	NOUN
cana-3637	82	12	techniques	technique	NOUN
cana-3637	82	13	in	in	ADP
cana-3637	82	14	digital	digital	ADJ
cana-3637	82	15	images	image	NOUN
cana-3637	82	16	,	,	PUNCT
cana-3637	82	17	enhancing	enhance	VERB
cana-3637	82	18	forensic	forensic	ADJ
cana-3637	82	19	verification	verification	NOUN
cana-3637	82	20	processes	process	NOUN
cana-3637	82	21	and	and	CCONJ
cana-3637	82	22	improving	improve	VERB
cana-3637	82	23	the	the	DET
cana-3637	82	24	traceability	traceability	NOUN
cana-3637	82	25	of	of	ADP
cana-3637	82	26	tampered	tamper	VERB
cana-3637	82	27	media	medium	NOUN
cana-3637	82	28	.	.	PUNCT
cana-3637	83	1	postmortem	postmortem	NOUN
cana-3637	83	2	interval	interval	NOUN
cana-3637	83	3	estimation	estimation	NOUN
cana-3637	83	4	[	[	X
cana-3637	83	5	22	22	NUM
cana-3637	83	6	]	]	X
cana-3637	83	7	forensic	forensic	ADJ
cana-3637	83	8	medicine	medicine	NOUN
cana-3637	83	9	utilizes	utilize	VERB
cana-3637	83	10	metabolomics	metabolomic	NOUN
cana-3637	83	11	and	and	CCONJ
cana-3637	83	12	ensemble	ensemble	ADJ
cana-3637	83	13	learning	learning	NOUN
cana-3637	83	14	to	to	PART
cana-3637	83	15	estimate	estimate	VERB
cana-3637	83	16	time	time	NOUN
cana-3637	83	17	of	of	ADP
cana-3637	83	18	death	death	NOUN
cana-3637	83	19	across	across	ADP
cana-3637	83	20	multiple	multiple	ADJ
cana-3637	83	21	organs	organ	NOUN
cana-3637	83	22	,	,	PUNCT
cana-3637	83	23	providing	provide	VERB
cana-3637	83	24	high	high	ADJ
cana-3637	83	25	accuracy	accuracy	NOUN
cana-3637	83	26	in	in	ADP
cana-3637	83	27	postmortem	postmortem	NOUN
cana-3637	83	28	interval	interval	NOUN
cana-3637	83	29	determination	determination	NOUN
cana-3637	83	30	.	.	PUNCT
cana-3637	84	1	communications	communication	NOUN
cana-3637	84	2	on	on	ADP
cana-3637	84	3	applied	apply	VERB
cana-3637	84	4	nonlinear	nonlinear	ADJ
cana-3637	84	5	analysis	analysis	NOUN
cana-3637	84	6	issn	issn	NOUN
cana-3637	84	7	:	:	PUNCT
cana-3637	84	8	1074	1074	NUM
cana-3637	84	9	-	-	PUNCT
cana-3637	84	10	133x	133x	NUM
cana-3637	84	11	vol	vol	NOUN
cana-3637	84	12	32	32	NUM
cana-3637	84	13	no	no	NOUN
cana-3637	84	14	.	.	PUNCT
cana-3637	85	1	8s	8s	PROPN
cana-3637	85	2	(	(	PUNCT
cana-3637	85	3	2025	2025	NUM
cana-3637	85	4	)	)	PUNCT
cana-3637	85	5	218	218	NUM
cana-3637	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	85	7	according	accord	VERB
cana-3637	85	8	to	to	ADP
cana-3637	85	9	table	table	NOUN
cana-3637	85	10	1	1	NUM
cana-3637	85	11	,	,	PUNCT
cana-3637	85	12	as	as	SCONJ
cana-3637	85	13	indicated	indicate	VERB
cana-3637	85	14	,	,	PUNCT
cana-3637	85	15	shukla	shukla	NOUN
cana-3637	85	16	et	et	NOUN
cana-3637	85	17	al	al	PROPN
cana-3637	85	18	.	.	PUNCT
cana-3637	86	1	[	[	X
cana-3637	86	2	16	16	NUM
cana-3637	86	3	]	]	PUNCT
cana-3637	86	4	,	,	PUNCT
cana-3637	86	5	and	and	CCONJ
cana-3637	86	6	kumar	kumar	PROPN
cana-3637	86	7	et	et	PROPN
cana-3637	86	8	al	al	PROPN
cana-3637	86	9	.	.	PUNCT
cana-3637	87	1	[	[	X
cana-3637	87	2	17	17	NUM
cana-3637	87	3	]	]	PUNCT
cana-3637	87	4	represent	represent	VERB
cana-3637	87	5	amongst	amongst	ADP
cana-3637	87	6	the	the	DET
cana-3637	87	7	authors	author	NOUN
cana-3637	87	8	who	who	PRON
cana-3637	87	9	describe	describe	VERB
cana-3637	87	10	or	or	CCONJ
cana-3637	87	11	summarize	summarize	VERB
cana-3637	87	12	the	the	DET
cana-3637	87	13	methods	method	NOUN
cana-3637	87	14	involving	involve	VERB
cana-3637	87	15	digital	digital	ADJ
cana-3637	87	16	image	image	NOUN
cana-3637	87	17	analysis	analysis	NOUN
cana-3637	87	18	while	while	SCONJ
cana-3637	87	19	summarizing	summarize	VERB
cana-3637	87	20	image	image	NOUN
cana-3637	87	21	forensics	forensic	NOUN
cana-3637	87	22	as	as	ADP
cana-3637	87	23	a	a	DET
cana-3637	87	24	related	related	ADJ
cana-3637	87	25	field	field	NOUN
cana-3637	87	26	that	that	PRON
cana-3637	87	27	evolved	evolve	VERB
cana-3637	87	28	from	from	ADP
cana-3637	87	29	traditional	traditional	ADJ
cana-3637	87	30	to	to	ADP
cana-3637	87	31	the	the	DET
cana-3637	87	32	usage	usage	NOUN
cana-3637	87	33	of	of	ADP
cana-3637	87	34	deep	deep	ADJ
cana-3637	87	35	learning	learning	NOUN
cana-3637	87	36	,	,	PUNCT
cana-3637	87	37	making	make	VERB
cana-3637	87	38	the	the	DET
cana-3637	87	39	detection	detection	NOUN
cana-3637	87	40	of	of	ADP
cana-3637	87	41	any	any	DET
cana-3637	87	42	forged	forge	VERB
cana-3637	87	43	images	image	NOUN
cana-3637	87	44	extremely	extremely	ADV
cana-3637	87	45	important	important	ADJ
cana-3637	87	46	towards	towards	ADP
cana-3637	87	47	acceptance	acceptance	NOUN
cana-3637	87	48	of	of	ADP
cana-3637	87	49	digital	digital	ADJ
cana-3637	87	50	evidence	evidence	NOUN
cana-3637	87	51	for	for	ADP
cana-3637	87	52	evidence	evidence	NOUN
cana-3637	87	53	validation	validation	NOUN
cana-3637	87	54	.	.	PUNCT
cana-3637	88	1	continued	continue	VERB
cana-3637	88	2	to	to	ADP
cana-3637	88	3	mobile	mobile	ADJ
cana-3637	88	4	botnet	botnet	NOUN
cana-3637	88	5	detection	detection	NOUN
cana-3637	88	6	,	,	PUNCT
cana-3637	88	7	hamzenejadi	hamzenejadi	NOUN
cana-3637	88	8	et	et	PROPN
cana-3637	88	9	al	al	PROPN
cana-3637	88	10	.	.	PUNCT
cana-3637	89	1	[	[	X
cana-3637	89	2	18	18	NUM
cana-3637	89	3	]	]	PUNCT
cana-3637	89	4	give	give	VERB
cana-3637	89	5	an	an	DET
cana-3637	89	6	elaborate	elaborate	ADJ
cana-3637	89	7	overview	overview	NOUN
cana-3637	89	8	that	that	PRON
cana-3637	89	9	stresses	stress	VERB
cana-3637	89	10	the	the	DET
cana-3637	89	11	adaptive	adaptive	ADJ
cana-3637	89	12	needs	need	NOUN
cana-3637	89	13	of	of	ADP
cana-3637	89	14	forensic	forensic	ADJ
cana-3637	89	15	tools	tool	NOUN
cana-3637	89	16	in	in	ADP
cana-3637	89	17	combating	combat	VERB
cana-3637	89	18	mobile	mobile	ADJ
cana-3637	89	19	-	-	PUNCT
cana-3637	89	20	specific	specific	ADJ
cana-3637	89	21	threats	threat	NOUN
cana-3637	89	22	.	.	PUNCT
cana-3637	90	1	the	the	DET
cana-3637	90	2	parallel	parallel	ADJ
cana-3637	90	3	study	study	NOUN
cana-3637	90	4	by	by	ADP
cana-3637	90	5	singh	singh	PROPN
cana-3637	90	6	and	and	CCONJ
cana-3637	90	7	kumar	kumar	PROPN
cana-3637	90	8	[	[	X
cana-3637	90	9	19	19	NUM
cana-3637	90	10	]	]	PUNCT
cana-3637	90	11	emphasizes	emphasize	VERB
cana-3637	90	12	the	the	DET
cana-3637	90	13	need	need	NOUN
cana-3637	90	14	for	for	ADP
cana-3637	90	15	strong	strong	ADJ
cana-3637	90	16	methods	method	NOUN
cana-3637	90	17	of	of	ADP
cana-3637	90	18	digital	digital	ADJ
cana-3637	90	19	forensics	forensic	NOUN
cana-3637	90	20	as	as	SCONJ
cana-3637	90	21	multimedia	multimedia	NOUN
cana-3637	90	22	turns	turn	VERB
cana-3637	90	23	out	out	ADP
cana-3637	90	24	to	to	PART
cana-3637	90	25	be	be	AUX
cana-3637	90	26	a	a	DET
cana-3637	90	27	significant	significant	ADJ
cana-3637	90	28	source	source	NOUN
cana-3637	90	29	of	of	ADP
cana-3637	90	30	evidence	evidence	NOUN
cana-3637	90	31	.	.	PUNCT
cana-3637	91	1	sharma	sharma	PROPN
cana-3637	91	2	et	et	PROPN
cana-3637	91	3	al	al	PROPN
cana-3637	91	4	.	.	PUNCT
cana-3637	92	1	[	[	X
cana-3637	92	2	20	20	NUM
cana-3637	92	3	]	]	PUNCT
cana-3637	92	4	further	far	ADV
cana-3637	92	5	support	support	VERB
cana-3637	92	6	this	this	DET
cana-3637	92	7	shift	shift	NOUN
cana-3637	92	8	to	to	ADP
cana-3637	92	9	digital	digital	ADJ
cana-3637	92	10	media	medium	NOUN
cana-3637	92	11	by	by	ADP
cana-3637	92	12	evaluating	evaluate	VERB
cana-3637	92	13	traditional	traditional	ADJ
cana-3637	92	14	and	and	CCONJ
cana-3637	92	15	advanced	advanced	ADJ
cana-3637	92	16	deep	deep	ADJ
cana-3637	92	17	learning	learning	NOUN
cana-3637	92	18	approaches	approach	NOUN
cana-3637	92	19	for	for	ADP
cana-3637	92	20	image	image	NOUN
cana-3637	92	21	forgery	forgery	NOUN
cana-3637	92	22	,	,	PUNCT
cana-3637	92	23	focusing	focus	VERB
cana-3637	92	24	on	on	ADP
cana-3637	92	25	improving	improve	VERB
cana-3637	92	26	accuracy	accuracy	NOUN
cana-3637	92	27	through	through	ADP
cana-3637	92	28	cutting	cut	VERB
cana-3637	92	29	-	-	PUNCT
cana-3637	92	30	edge	edge	NOUN
cana-3637	92	31	techniques	technique	NOUN
cana-3637	92	32	.	.	PUNCT
cana-3637	93	1	similarly	similarly	ADV
cana-3637	93	2	,	,	PUNCT
cana-3637	93	3	iseed	iseed	VERB
cana-3637	93	4	and	and	CCONJ
cana-3637	93	5	mahmoud	mahmoud	PROPN
cana-3637	93	6	[	[	X
cana-3637	93	7	21	21	NUM
cana-3637	93	8	]	]	PUNCT
cana-3637	93	9	address	address	NOUN
cana-3637	93	10	multimedia	multimedia	NOUN
cana-3637	93	11	forensics	forensic	NOUN
cana-3637	93	12	by	by	ADP
cana-3637	93	13	distinguishing	distinguish	VERB
cana-3637	93	14	between	between	ADP
cana-3637	93	15	source	source	NOUN
cana-3637	93	16	and	and	CCONJ
cana-3637	93	17	destination	destination	NOUN
cana-3637	93	18	regions	region	NOUN
cana-3637	93	19	in	in	ADP
cana-3637	93	20	copy	copy	NOUN
cana-3637	93	21	-	-	PUNCT
cana-3637	93	22	move	move	NOUN
cana-3637	93	23	forgery	forgery	NOUN
cana-3637	93	24	,	,	PUNCT
cana-3637	93	25	adding	add	VERB
cana-3637	93	26	another	another	DET
cana-3637	93	27	layer	layer	NOUN
cana-3637	93	28	of	of	ADP
cana-3637	93	29	precision	precision	NOUN
cana-3637	93	30	to	to	ADP
cana-3637	93	31	digital	digital	ADJ
cana-3637	93	32	forensic	forensic	ADJ
cana-3637	93	33	analysis	analysis	NOUN
cana-3637	93	34	.	.	PUNCT
cana-3637	94	1	the	the	DET
cana-3637	94	2	application	application	NOUN
cana-3637	94	3	of	of	ADP
cana-3637	94	4	ensemble	ensemble	ADJ
cana-3637	94	5	learning	learning	NOUN
cana-3637	94	6	,	,	PUNCT
cana-3637	94	7	as	as	SCONJ
cana-3637	94	8	proposed	propose	VERB
cana-3637	94	9	by	by	ADP
cana-3637	94	10	lu	lu	PROPN
cana-3637	94	11	et	et	PROPN
cana-3637	94	12	al	al	PROPN
cana-3637	94	13	.	.	PROPN
cana-3637	94	14	in	in	ADP
cana-3637	94	15	their	their	PRON
cana-3637	94	16	study	study	NOUN
cana-3637	95	1	[	[	X
cana-3637	95	2	22	22	NUM
cana-3637	95	3	]	]	PUNCT
cana-3637	95	4	,	,	PUNCT
cana-3637	95	5	presents	present	VERB
cana-3637	95	6	the	the	DET
cana-3637	95	7	possibility	possibility	NOUN
cana-3637	95	8	of	of	ADP
cana-3637	95	9	the	the	DET
cana-3637	95	10	use	use	NOUN
cana-3637	95	11	of	of	ADP
cana-3637	95	12	integrated	integrate	VERB
cana-3637	95	13	models	model	NOUN
cana-3637	95	14	for	for	ADP
cana-3637	95	15	the	the	DET
cana-3637	95	16	improvement	improvement	NOUN
cana-3637	95	17	of	of	ADP
cana-3637	95	18	postmortem	postmortem	NOUN
cana-3637	95	19	interval	interval	NOUN
cana-3637	95	20	estimation	estimation	NOUN
cana-3637	95	21	.	.	PUNCT
cana-3637	96	1	scalable	scalable	ADJ
cana-3637	96	2	forensic	forensic	ADJ
cana-3637	96	3	tools	tool	NOUN
cana-3637	96	4	can	can	AUX
cana-3637	96	5	be	be	AUX
cana-3637	96	6	expanded	expand	VERB
cana-3637	96	7	through	through	ADP
cana-3637	96	8	an	an	DET
cana-3637	96	9	offline	offline	ADJ
cana-3637	96	10	parallel	parallel	ADJ
cana-3637	96	11	architecture	architecture	NOUN
cana-3637	96	12	,	,	PUNCT
cana-3637	96	13	as	as	SCONJ
cana-3637	96	14	demonstrated	demonstrate	VERB
cana-3637	96	15	by	by	ADP
cana-3637	96	16	the	the	DET
cana-3637	96	17	study	study	NOUN
cana-3637	96	18	on	on	ADP
cana-3637	96	19	multimedia	multimedia	NOUN
cana-3637	96	20	classification	classification	NOUN
cana-3637	96	21	by	by	ADP
cana-3637	96	22	spalazzi	spalazzi	NOUN
cana-3637	96	23	et	et	PROPN
cana-3637	96	24	al	al	PROPN
cana-3637	96	25	.	.	PUNCT
cana-3637	97	1	[	[	X
cana-3637	97	2	23	23	NUM
cana-3637	97	3	]	]	PUNCT
cana-3637	97	4	.	.	PUNCT
cana-3637	98	1	gowada	gowada	PROPN
cana-3637	98	2	et	et	PROPN
cana-3637	98	3	al	al	PROPN
cana-3637	98	4	.	.	PUNCT
cana-3637	99	1	[	[	X
cana-3637	99	2	24	24	NUM
cana-3637	99	3	]	]	PUNCT
cana-3637	99	4	extends	extend	VERB
cana-3637	99	5	this	this	DET
cana-3637	99	6	capability	capability	NOUN
cana-3637	99	7	to	to	ADP
cana-3637	99	8	video	video	NOUN
cana-3637	99	9	forensics	forensic	NOUN
cana-3637	99	10	with	with	ADP
cana-3637	99	11	a	a	DET
cana-3637	99	12	hybrid	hybrid	ADJ
cana-3637	99	13	model	model	NOUN
cana-3637	99	14	for	for	ADP
cana-3637	99	15	unethical	unethical	ADJ
cana-3637	99	16	human	human	ADJ
cana-3637	99	17	action	action	NOUN
cana-3637	99	18	recognition	recognition	NOUN
cana-3637	99	19	,	,	PUNCT
cana-3637	99	20	which	which	PRON
cana-3637	99	21	has	have	VERB
cana-3637	99	22	applications	application	NOUN
cana-3637	99	23	in	in	ADP
cana-3637	99	24	real	real	ADJ
cana-3637	99	25	-	-	PUNCT
cana-3637	99	26	time	time	NOUN
cana-3637	99	27	surveillance	surveillance	NOUN
cana-3637	99	28	and	and	CCONJ
cana-3637	99	29	crime	crime	NOUN
cana-3637	99	30	prevention	prevention	NOUN
cana-3637	99	31	.	.	PUNCT
cana-3637	100	1	finally	finally	ADV
cana-3637	100	2	,	,	PUNCT
cana-3637	100	3	rajmohan	rajmohan	VERB
cana-3637	100	4	and	and	CCONJ
cana-3637	100	5	khader	khader	NOUN
cana-3637	101	1	[	[	X
cana-3637	101	2	25	25	NUM
cana-3637	101	3	]	]	PUNCT
cana-3637	101	4	introduce	introduce	VERB
cana-3637	101	5	forensic	forensic	ADJ
cana-3637	101	6	dentistry	dentistry	NOUN
cana-3637	101	7	into	into	ADP
cana-3637	101	8	the	the	DET
cana-3637	101	9	scope	scope	NOUN
cana-3637	101	10	of	of	ADP
cana-3637	101	11	computational	computational	ADJ
cana-3637	101	12	forensics	forensic	NOUN
cana-3637	101	13	using	use	VERB
cana-3637	101	14	a	a	DET
cana-3637	101	15	multi	multi	ADJ
cana-3637	101	16	-	-	ADJ
cana-3637	101	17	orientation	orientation	NOUN
cana-3637	101	18	pattern	pattern	NOUN
cana-3637	101	19	for	for	ADP
cana-3637	101	20	dental	dental	ADJ
cana-3637	101	21	feature	feature	NOUN
cana-3637	101	22	extraction	extraction	NOUN
cana-3637	101	23	,	,	PUNCT
cana-3637	101	24	indicating	indicate	VERB
cana-3637	101	25	the	the	DET
cana-3637	101	26	versatility	versatility	NOUN
cana-3637	101	27	of	of	ADP
cana-3637	101	28	machine	machine	NOUN
cana-3637	101	29	learning	learning	NOUN
cana-3637	101	30	in	in	ADP
cana-3637	101	31	specialized	specialized	ADJ
cana-3637	101	32	forensic	forensic	ADJ
cana-3637	101	33	fields	field	NOUN
cana-3637	101	34	.	.	PUNCT
cana-3637	102	1	these	these	DET
cana-3637	102	2	recent	recent	ADJ
cana-3637	102	3	works	work	NOUN
cana-3637	102	4	are	be	AUX
cana-3637	102	5	an	an	DET
cana-3637	102	6	example	example	NOUN
cana-3637	102	7	of	of	ADP
cana-3637	102	8	how	how	SCONJ
cana-3637	102	9	forensic	forensic	ADJ
cana-3637	102	10	applications	application	NOUN
cana-3637	102	11	are	be	AUX
cana-3637	102	12	converging	converge	VERB
cana-3637	102	13	with	with	ADP
cana-3637	102	14	machine	machine	NOUN
cana-3637	102	15	learning	learning	NOUN
cana-3637	102	16	and	and	CCONJ
cana-3637	102	17	advanced	advanced	ADJ
cana-3637	102	18	computational	computational	ADJ
cana-3637	102	19	techniques	technique	NOUN
cana-3637	102	20	.	.	PUNCT
cana-3637	103	1	modern	modern	ADJ
cana-3637	103	2	forensics	forensic	NOUN
cana-3637	103	3	is	be	AUX
cana-3637	103	4	a	a	DET
cana-3637	103	5	dynamic	dynamic	ADJ
cana-3637	103	6	,	,	PUNCT
cana-3637	103	7	multi	multi	ADJ
cana-3637	103	8	-	-	ADJ
cana-3637	103	9	dimensional	dimensional	ADJ
cana-3637	103	10	area	area	NOUN
cana-3637	103	11	of	of	ADP
cana-3637	103	12	study	study	NOUN
cana-3637	103	13	,	,	PUNCT
cana-3637	103	14	and	and	CCONJ
cana-3637	103	15	each	each	DET
cana-3637	103	16	paper	paper	NOUN
cana-3637	103	17	offers	offer	VERB
cana-3637	103	18	a	a	DET
cana-3637	103	19	unique	unique	ADJ
cana-3637	103	20	perspective	perspective	NOUN
cana-3637	103	21	on	on	ADP
cana-3637	103	22	how	how	SCONJ
cana-3637	103	23	data	data	NOUN
cana-3637	103	24	-	-	PUNCT
cana-3637	103	25	driven	drive	VERB
cana-3637	103	26	approaches	approach	NOUN
cana-3637	103	27	can	can	AUX
cana-3637	103	28	address	address	VERB
cana-3637	103	29	specific	specific	ADJ
cana-3637	103	30	challenges	challenge	NOUN
cana-3637	103	31	:	:	PUNCT
cana-3637	103	32	from	from	ADP
cana-3637	103	33	identifying	identify	VERB
cana-3637	103	34	cardiac	cardiac	ADJ
cana-3637	103	35	death	death	NOUN
cana-3637	104	1	[	[	X
cana-3637	104	2	1	1	X
cana-3637	104	3	]	]	PUNCT
cana-3637	104	4	to	to	ADP
cana-3637	104	5	detecting	detect	VERB
cana-3637	104	6	malware	malware	NOUN
cana-3637	104	7	[	[	X
cana-3637	104	8	2,3	2,3	NUM
cana-3637	104	9	]	]	PUNCT
cana-3637	104	10	and	and	CCONJ
cana-3637	104	11	image	image	NOUN
cana-3637	104	12	forgery	forgery	NOUN
cana-3637	105	1	[	[	X
cana-3637	105	2	12,16,17	12,16,17	NOUN
cana-3637	105	3	]	]	PUNCT
cana-3637	105	4	.	.	PUNCT
cana-3637	106	1	this	this	DET
cana-3637	106	2	breadth	breadth	NOUN
cana-3637	106	3	shows	show	VERB
cana-3637	106	4	how	how	SCONJ
cana-3637	106	5	machine	machine	NOUN
cana-3637	106	6	learning	learning	NOUN
cana-3637	106	7	is	be	AUX
cana-3637	106	8	playing	play	VERB
cana-3637	106	9	an	an	DET
cana-3637	106	10	increasingly	increasingly	ADV
cana-3637	106	11	important	important	ADJ
cana-3637	106	12	role	role	NOUN
cana-3637	106	13	in	in	ADP
cana-3637	106	14	forensic	forensic	ADJ
cana-3637	106	15	science	science	NOUN
cana-3637	106	16	,	,	PUNCT
cana-3637	106	17	with	with	ADP
cana-3637	106	18	broad	broad	ADJ
cana-3637	106	19	implications	implication	NOUN
cana-3637	106	20	for	for	ADP
cana-3637	106	21	domains	domain	NOUN
cana-3637	106	22	such	such	ADJ
cana-3637	106	23	as	as	ADP
cana-3637	106	24	cybersecurity	cybersecurity	NOUN
cana-3637	106	25	,	,	PUNCT
cana-3637	106	26	physical	physical	ADJ
cana-3637	106	27	forensics	forensic	NOUN
cana-3637	106	28	,	,	PUNCT
cana-3637	106	29	and	and	CCONJ
cana-3637	106	30	multimedia	multimedia	NOUN
cana-3637	106	31	analysis	analysis	NOUN
cana-3637	106	32	.	.	PUNCT
cana-3637	107	1	an	an	DET
cana-3637	107	2	integrated	integrated	ADJ
cana-3637	107	3	view	view	NOUN
cana-3637	107	4	emerges	emerge	VERB
cana-3637	107	5	that	that	PRON
cana-3637	107	6	shows	show	VERB
cana-3637	107	7	that	that	SCONJ
cana-3637	107	8	these	these	DET
cana-3637	107	9	approaches	approach	NOUN
cana-3637	107	10	are	be	AUX
cana-3637	107	11	not	not	PART
cana-3637	107	12	only	only	ADV
cana-3637	107	13	critical	critical	ADJ
cana-3637	107	14	for	for	ADP
cana-3637	107	15	adapting	adapt	VERB
cana-3637	107	16	to	to	ADP
cana-3637	107	17	the	the	DET
cana-3637	107	18	growing	grow	VERB
cana-3637	107	19	complexity	complexity	NOUN
cana-3637	107	20	of	of	ADP
cana-3637	107	21	forensic	forensic	ADJ
cana-3637	107	22	data	datum	NOUN
cana-3637	107	23	but	but	CCONJ
cana-3637	107	24	also	also	ADV
cana-3637	107	25	for	for	ADP
cana-3637	107	26	enhancing	enhance	VERB
cana-3637	107	27	accuracy	accuracy	NOUN
cana-3637	107	28	,	,	PUNCT
cana-3637	107	29	scalability	scalability	NOUN
cana-3637	107	30	,	,	PUNCT
cana-3637	107	31	and	and	CCONJ
cana-3637	107	32	interpretability	interpretability	NOUN
cana-3637	107	33	in	in	ADP
cana-3637	107	34	forensic	forensic	ADJ
cana-3637	107	35	analysis	analysis	NOUN
cana-3637	107	36	.	.	PUNCT
cana-3637	108	1	this	this	DET
cana-3637	108	2	collective	collective	ADJ
cana-3637	108	3	body	body	NOUN
cana-3637	108	4	of	of	ADP
cana-3637	108	5	work	work	NOUN
cana-3637	108	6	in	in	ADP
cana-3637	108	7	its	its	PRON
cana-3637	108	8	recognition	recognition	NOUN
cana-3637	108	9	of	of	ADP
cana-3637	108	10	real	real	ADJ
cana-3637	108	11	-	-	PUNCT
cana-3637	108	12	time	time	NOUN
cana-3637	108	13	adaptability	adaptability	NOUN
cana-3637	108	14	as	as	ADP
cana-3637	108	15	a	a	DET
cana-3637	108	16	necessity	necessity	NOUN
cana-3637	108	17	and	and	CCONJ
cana-3637	108	18	the	the	DET
cana-3637	108	19	changing	change	VERB
cana-3637	108	20	nature	nature	NOUN
cana-3637	108	21	of	of	ADP
cana-3637	108	22	emergent	emergent	ADJ
cana-3637	108	23	threats	threat	NOUN
cana-3637	108	24	and	and	CCONJ
cana-3637	108	25	evolving	evolve	VERB
cana-3637	108	26	new	new	ADJ
cana-3637	108	27	data	datum	NOUN
cana-3637	108	28	types	type	NOUN
cana-3637	108	29	that	that	PRON
cana-3637	108	30	are	be	AUX
cana-3637	108	31	changing	change	VERB
cana-3637	108	32	the	the	DET
cana-3637	108	33	methodologies	methodology	NOUN
cana-3637	108	34	in	in	ADP
cana-3637	108	35	forensics	forensic	NOUN
cana-3637	108	36	.	.	PUNCT
cana-3637	109	1	such	such	ADJ
cana-3637	109	2	studies	study	NOUN
cana-3637	109	3	-	-	PUNCT
cana-3637	109	4	in	in	ADP
cana-3637	109	5	mobile	mobile	ADJ
cana-3637	109	6	botnet	botnet	NOUN
cana-3637	109	7	detection	detection	NOUN
cana-3637	109	8	[	[	X
cana-3637	109	9	18	18	NUM
cana-3637	109	10	]	]	PUNCT
cana-3637	109	11	or	or	CCONJ
cana-3637	109	12	illegal	illegal	ADJ
cana-3637	109	13	activity	activity	NOUN
cana-3637	109	14	detection	detection	NOUN
cana-3637	109	15	in	in	ADP
cana-3637	109	16	bitcoin	bitcoin	PROPN
cana-3637	110	1	[	[	X
cana-3637	110	2	13]-raise	13]-raise	NUM
cana-3637	110	3	a	a	DET
cana-3637	110	4	proactive	proactive	ADJ
cana-3637	110	5	posture	posture	NOUN
cana-3637	110	6	in	in	ADP
cana-3637	110	7	forensic	forensic	ADJ
cana-3637	110	8	studies	study	NOUN
cana-3637	110	9	that	that	PRON
cana-3637	110	10	support	support	VERB
cana-3637	110	11	timely	timely	ADJ
cana-3637	110	12	analysis	analysis	NOUN
cana-3637	110	13	of	of	ADP
cana-3637	110	14	emerging	emerge	VERB
cana-3637	110	15	patterns	pattern	NOUN
cana-3637	110	16	in	in	ADP
cana-3637	110	17	crime	crime	NOUN
cana-3637	110	18	.	.	PUNCT
cana-3637	111	1	interpretability	interpretability	NOUN
cana-3637	111	2	is	be	AUX
cana-3637	111	3	another	another	DET
cana-3637	111	4	central	central	ADJ
cana-3637	111	5	concern	concern	NOUN
cana-3637	111	6	in	in	ADP
cana-3637	111	7	the	the	DET
cana-3637	111	8	review	review	NOUN
cana-3637	111	9	,	,	PUNCT
cana-3637	111	10	especially	especially	ADV
cana-3637	111	11	in	in	ADP
cana-3637	111	12	digital	digital	ADJ
cana-3637	111	13	forensics	forensic	NOUN
cana-3637	111	14	where	where	SCONJ
cana-3637	111	15	the	the	DET
cana-3637	111	16	validation	validation	NOUN
cana-3637	111	17	of	of	ADP
cana-3637	111	18	digital	digital	ADJ
cana-3637	111	19	evidence	evidence	NOUN
cana-3637	111	20	is	be	AUX
cana-3637	111	21	paramount	paramount	ADJ
cana-3637	111	22	.	.	PUNCT
cana-3637	112	1	these	these	DET
cana-3637	112	2	research	research	NOUN
cana-3637	112	3	studies	study	NOUN
cana-3637	112	4	on	on	ADP
cana-3637	112	5	image	image	NOUN
cana-3637	112	6	and	and	CCONJ
cana-3637	112	7	multimedia	multimedia	NOUN
cana-3637	112	8	forensics	forensic	NOUN
cana-3637	112	9	[	[	X
cana-3637	112	10	14	14	NUM
cana-3637	112	11	,	,	PUNCT
cana-3637	112	12	15	15	NUM
cana-3637	112	13	,	,	PUNCT
cana-3637	112	14	19	19	NUM
cana-3637	112	15	]	]	PUNCT
cana-3637	112	16	are	be	AUX
cana-3637	112	17	essentially	essentially	ADV
cana-3637	112	18	for	for	ADP
cana-3637	112	19	increasing	increase	VERB
cana-3637	112	20	transparency	transparency	NOUN
cana-3637	112	21	associated	associate	VERB
cana-3637	112	22	with	with	ADP
cana-3637	112	23	model	model	NOUN
cana-3637	112	24	outputs	output	NOUN
cana-3637	112	25	-	-	PUNCT
cana-3637	112	26	this	this	PRON
cana-3637	112	27	is	be	AUX
cana-3637	112	28	really	really	ADV
cana-3637	112	29	crucial	crucial	ADJ
cana-3637	112	30	in	in	ADP
cana-3637	112	31	application	application	NOUN
cana-3637	112	32	to	to	ADP
cana-3637	112	33	forensics	forensic	NOUN
cana-3637	112	34	-	-	PUNCT
cana-3637	112	35	based	base	VERB
cana-3637	112	36	evidence	evidence	NOUN
cana-3637	112	37	presentations	presentation	NOUN
cana-3637	112	38	in	in	ADP
cana-3637	112	39	legal	legal	ADJ
cana-3637	112	40	setups	setup	NOUN
cana-3637	112	41	.	.	PUNCT
cana-3637	113	1	the	the	DET
cana-3637	113	2	requirement	requirement	NOUN
cana-3637	113	3	of	of	ADP
cana-3637	113	4	a	a	DET
cana-3637	113	5	clear	clear	ADJ
cana-3637	113	6	traceability	traceability	NOUN
cana-3637	113	7	model	model	NOUN
cana-3637	113	8	especially	especially	ADV
cana-3637	113	9	in	in	ADP
cana-3637	113	10	its	its	PRON
cana-3637	113	11	output	output	NOUN
cana-3637	113	12	forms	form	NOUN
cana-3637	113	13	remains	remain	VERB
cana-3637	113	14	very	very	ADV
cana-3637	113	15	much	much	ADV
cana-3637	113	16	a	a	DET
cana-3637	113	17	must	must	NOUN
cana-3637	113	18	and	and	CCONJ
cana-3637	113	19	critical	critical	ADJ
cana-3637	113	20	requirement	requirement	NOUN
cana-3637	113	21	in	in	ADP
cana-3637	113	22	the	the	DET
cana-3637	113	23	present	present	ADJ
cana-3637	113	24	context	context	NOUN
cana-3637	113	25	for	for	ADP
cana-3637	113	26	multimedia	multimedia	NOUN
cana-3637	113	27	analysis	analysis	NOUN
cana-3637	113	28	in	in	ADP
cana-3637	113	29	general	general	ADJ
cana-3637	113	30	.	.	PUNCT
cana-3637	114	1	the	the	DET
cana-3637	114	2	methodic	methodic	ADJ
cana-3637	114	3	approaches	approach	NOUN
cana-3637	114	4	have	have	AUX
cana-3637	114	5	advanced	advance	VERB
cana-3637	114	6	substantially	substantially	ADV
cana-3637	114	7	at	at	ADP
cana-3637	114	8	a	a	DET
cana-3637	114	9	deep	deep	ADJ
cana-3637	114	10	learning	learning	NOUN
cana-3637	114	11	level	level	NOUN
cana-3637	114	12	related	relate	VERB
cana-3637	114	13	to	to	ADP
cana-3637	114	14	forgery	forgery	NOUN
cana-3637	114	15	in	in	ADP
cana-3637	114	16	the	the	DET
cana-3637	114	17	case	case	NOUN
cana-3637	114	18	of	of	ADP
cana-3637	114	19	images	image	NOUN
cana-3637	114	20	[	[	X
cana-3637	114	21	12	12	NUM
cana-3637	114	22	,	,	PUNCT
cana-3637	114	23	16	16	NUM
cana-3637	114	24	,	,	PUNCT
cana-3637	114	25	20	20	NUM
cana-3637	114	26	]	]	PUNCT
cana-3637	114	27	,	,	PUNCT
cana-3637	114	28	video	video	NOUN
cana-3637	115	1	[	[	X
cana-3637	115	2	24	24	NUM
cana-3637	115	3	]	]	PUNCT
cana-3637	115	4	,	,	PUNCT
cana-3637	115	5	making	make	VERB
cana-3637	115	6	the	the	DET
cana-3637	115	7	clarity	clarity	NOUN
cana-3637	115	8	forms	form	NOUN
cana-3637	115	9	of	of	ADP
cana-3637	115	10	the	the	DET
cana-3637	115	11	models	model	NOUN
cana-3637	115	12	with	with	ADP
cana-3637	115	13	great	great	ADJ
cana-3637	115	14	traceability	traceability	NOUN
cana-3637	115	15	at	at	ADP
cana-3637	115	16	their	their	PRON
cana-3637	115	17	very	very	ADJ
cana-3637	115	18	output	output	NOUN
cana-3637	115	19	to	to	PART
cana-3637	115	20	be	be	AUX
cana-3637	115	21	particularly	particularly	ADV
cana-3637	115	22	valued	value	VERB
cana-3637	115	23	.	.	PUNCT
cana-3637	116	1	each	each	DET
cana-3637	116	2	paper	paper	NOUN
cana-3637	116	3	indicates	indicate	VERB
cana-3637	116	4	that	that	SCONJ
cana-3637	116	5	,	,	PUNCT
cana-3637	116	6	though	though	SCONJ
cana-3637	116	7	data	data	NOUN
cana-3637	116	8	-	-	PUNCT
cana-3637	116	9	driven	drive	VERB
cana-3637	116	10	techniques	technique	NOUN
cana-3637	116	11	are	be	AUX
cana-3637	116	12	considered	consider	VERB
cana-3637	116	13	a	a	DET
cana-3637	116	14	huge	huge	ADJ
cana-3637	116	15	success	success	NOUN
cana-3637	116	16	,	,	PUNCT
cana-3637	116	17	complexity	complexity	NOUN
cana-3637	116	18	in	in	ADP
cana-3637	116	19	data	data	NOUN
cana-3637	116	20	is	be	AUX
cana-3637	116	21	what	what	PRON
cana-3637	116	22	imposes	impose	VERB
cana-3637	116	23	the	the	DET
cana-3637	116	24	need	need	NOUN
cana-3637	116	25	for	for	ADP
cana-3637	116	26	multimodal	multimodal	NOUN
cana-3637	116	27	models	model	NOUN
cana-3637	116	28	that	that	PRON
cana-3637	116	29	could	could	AUX
cana-3637	116	30	handle	handle	VERB
cana-3637	116	31	those	those	DET
cana-3637	116	32	kinds	kind	NOUN
cana-3637	116	33	of	of	ADP
cana-3637	116	34	data	datum	NOUN
cana-3637	116	35	:	:	PUNCT
cana-3637	116	36	temporal	temporal	ADJ
cana-3637	116	37	and	and	CCONJ
cana-3637	116	38	communications	communication	NOUN
cana-3637	116	39	on	on	ADP
cana-3637	116	40	applied	apply	VERB
cana-3637	116	41	nonlinear	nonlinear	ADJ
cana-3637	116	42	analysis	analysis	NOUN
cana-3637	116	43	issn	issn	NOUN
cana-3637	116	44	:	:	PUNCT
cana-3637	116	45	1074	1074	NUM
cana-3637	116	46	-	-	PUNCT
cana-3637	116	47	133x	133x	NUM
cana-3637	116	48	vol	vol	NOUN
cana-3637	116	49	32	32	NUM
cana-3637	116	50	no	no	NOUN
cana-3637	116	51	.	.	PUNCT
cana-3637	117	1	8s	8s	PROPN
cana-3637	117	2	(	(	PUNCT
cana-3637	117	3	2025	2025	NUM
cana-3637	117	4	)	)	PUNCT
cana-3637	117	5	219	219	NUM
cana-3637	117	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	117	7	spatial	spatial	ADJ
cana-3637	117	8	,	,	PUNCT
cana-3637	117	9	but	but	CCONJ
cana-3637	117	10	definitely	definitely	ADV
cana-3637	117	11	semantic	semantic	ADJ
cana-3637	117	12	.	.	PUNCT
cana-3637	118	1	this	this	DET
cana-3637	118	2	view	view	NOUN
cana-3637	118	3	has	have	AUX
cana-3637	118	4	been	be	AUX
cana-3637	118	5	underlined	underline	VERB
cana-3637	118	6	by	by	ADP
cana-3637	118	7	a	a	DET
cana-3637	118	8	metaverse	metaverse	ADJ
cana-3637	118	9	forensic	forensic	ADJ
cana-3637	118	10	framework	framework	NOUN
cana-3637	118	11	[	[	X
cana-3637	118	12	11	11	NUM
cana-3637	118	13	]	]	PUNCT
cana-3637	118	14	as	as	ADV
cana-3637	118	15	well	well	ADV
cana-3637	118	16	as	as	ADP
cana-3637	118	17	methodologies	methodology	NOUN
cana-3637	118	18	for	for	ADP
cana-3637	118	19	iot	iot	ADJ
cana-3637	118	20	forensic	forensic	NOUN
cana-3637	118	21	[	[	X
cana-3637	118	22	9	9	NUM
cana-3637	118	23	]	]	PUNCT
cana-3637	118	24	,	,	PUNCT
cana-3637	118	25	both	both	PRON
cana-3637	118	26	of	of	ADP
cana-3637	118	27	which	which	PRON
cana-3637	118	28	advocate	advocate	VERB
cana-3637	118	29	for	for	ADP
cana-3637	118	30	newly	newly	ADV
cana-3637	118	31	emerging	emerge	VERB
cana-3637	118	32	digital	digital	ADJ
cana-3637	118	33	realms	realm	NOUN
cana-3637	118	34	.	.	PUNCT
cana-3637	119	1	in	in	ADP
cana-3637	119	2	summary	summary	NOUN
cana-3637	119	3	,	,	PUNCT
cana-3637	119	4	these	these	DET
cana-3637	119	5	papers	paper	NOUN
cana-3637	119	6	jointly	jointly	ADV
cana-3637	119	7	suggest	suggest	VERB
cana-3637	119	8	that	that	SCONJ
cana-3637	119	9	machine	machine	NOUN
cana-3637	119	10	learning	learning	NOUN
cana-3637	119	11	has	have	VERB
cana-3637	119	12	the	the	DET
cana-3637	119	13	potential	potential	NOUN
cana-3637	119	14	to	to	PART
cana-3637	119	15	enhance	enhance	VERB
cana-3637	119	16	not	not	PART
cana-3637	119	17	only	only	ADV
cana-3637	119	18	model	model	NOUN
cana-3637	119	19	performance	performance	NOUN
cana-3637	119	20	but	but	CCONJ
cana-3637	119	21	also	also	ADV
cana-3637	119	22	the	the	DET
cana-3637	119	23	capabilities	capability	NOUN
cana-3637	119	24	of	of	ADP
cana-3637	119	25	forensic	forensic	ADJ
cana-3637	119	26	science	science	NOUN
cana-3637	119	27	to	to	PART
cana-3637	119	28	enter	enter	VERB
cana-3637	119	29	into	into	ADP
cana-3637	119	30	new	new	ADJ
cana-3637	119	31	complex	complex	ADJ
cana-3637	119	32	domains	domain	NOUN
cana-3637	119	33	.	.	PUNCT
cana-3637	120	1	the	the	DET
cana-3637	120	2	field	field	NOUN
cana-3637	120	3	becomes	become	VERB
cana-3637	120	4	more	more	ADV
cana-3637	120	5	diversified	diversified	ADJ
cana-3637	120	6	and	and	CCONJ
cana-3637	120	7	adaptive	adaptive	ADJ
cana-3637	120	8	/	/	SYM
cana-3637	120	9	interpretable	interpretable	ADJ
cana-3637	120	10	,	,	PUNCT
cana-3637	120	11	relying	rely	VERB
cana-3637	120	12	on	on	ADP
cana-3637	120	13	everything	everything	PRON
cana-3637	120	14	from	from	ADP
cana-3637	120	15	metabolomics	metabolomic	NOUN
cana-3637	120	16	and	and	CCONJ
cana-3637	120	17	network	network	NOUN
cana-3637	120	18	forensics	forensic	NOUN
cana-3637	120	19	to	to	ADP
cana-3637	120	20	botnet	botnet	NOUN
cana-3637	120	21	detection	detection	NOUN
cana-3637	120	22	and	and	CCONJ
cana-3637	120	23	image	image	NOUN
cana-3637	120	24	forgery	forgery	NOUN
cana-3637	120	25	analysis	analysis	NOUN
cana-3637	120	26	.	.	PUNCT
cana-3637	121	1	future	future	ADJ
cana-3637	121	2	forensic	forensic	ADJ
cana-3637	121	3	frameworks	framework	NOUN
cana-3637	121	4	will	will	AUX
cana-3637	121	5	most	most	ADV
cana-3637	121	6	likely	likely	ADV
cana-3637	121	7	be	be	AUX
cana-3637	121	8	constructed	construct	VERB
cana-3637	121	9	on	on	ADP
cana-3637	121	10	these	these	DET
cana-3637	121	11	works	work	NOUN
cana-3637	121	12	,	,	PUNCT
cana-3637	121	13	such	such	ADJ
cana-3637	121	14	as	as	SCONJ
cana-3637	121	15	deep	deep	ADJ
cana-3637	121	16	learning	learning	NOUN
cana-3637	121	17	paradigms	paradigm	VERB
cana-3637	121	18	,	,	PUNCT
cana-3637	121	19	scalable	scalable	ADJ
cana-3637	121	20	architectures	architecture	NOUN
cana-3637	121	21	,	,	PUNCT
cana-3637	121	22	and	and	CCONJ
cana-3637	121	23	transparency	transparency	NOUN
cana-3637	121	24	mechanisms	mechanism	NOUN
cana-3637	121	25	to	to	PART
cana-3637	121	26	deal	deal	VERB
cana-3637	121	27	with	with	ADP
cana-3637	121	28	high	high	ADV
cana-3637	121	29	-	-	PUNCT
cana-3637	121	30	dimensional	dimensional	ADJ
cana-3637	121	31	and	and	CCONJ
cana-3637	121	32	high	high	ADJ
cana-3637	121	33	-	-	PUNCT
cana-3637	121	34	stakes	stake	NOUN
cana-3637	121	35	forensic	forensic	ADJ
cana-3637	121	36	data	datum	NOUN
cana-3637	121	37	samples	sample	NOUN
cana-3637	121	38	.	.	PUNCT
cana-3637	122	1	in	in	ADP
cana-3637	122	2	this	this	DET
cana-3637	122	3	regard	regard	NOUN
cana-3637	122	4	,	,	PUNCT
cana-3637	122	5	the	the	DET
cana-3637	122	6	synthesis	synthesis	NOUN
cana-3637	122	7	of	of	ADP
cana-3637	122	8	these	these	DET
cana-3637	122	9	recent	recent	ADJ
cana-3637	122	10	works	work	NOUN
cana-3637	122	11	underscores	underscore	VERB
cana-3637	122	12	a	a	DET
cana-3637	122	13	transformative	transformative	ADJ
cana-3637	122	14	period	period	NOUN
cana-3637	122	15	in	in	ADP
cana-3637	122	16	forensic	forensic	ADJ
cana-3637	122	17	science	science	NOUN
cana-3637	122	18	,	,	PUNCT
cana-3637	122	19	driven	drive	VERB
cana-3637	122	20	by	by	ADP
cana-3637	122	21	the	the	DET
cana-3637	122	22	adaptability	adaptability	NOUN
cana-3637	122	23	and	and	CCONJ
cana-3637	122	24	accuracy	accuracy	NOUN
cana-3637	122	25	machine	machine	NOUN
cana-3637	122	26	learning	learning	NOUN
cana-3637	122	27	brings	bring	VERB
cana-3637	122	28	to	to	ADP
cana-3637	122	29	a	a	DET
cana-3637	122	30	field	field	NOUN
cana-3637	122	31	that	that	PRON
cana-3637	122	32	is	be	AUX
cana-3637	122	33	crucial	crucial	ADJ
cana-3637	122	34	to	to	ADP
cana-3637	122	35	security	security	NOUN
cana-3637	122	36	and	and	CCONJ
cana-3637	122	37	justice	justice	NOUN
cana-3637	122	38	sets	set	NOUN
cana-3637	122	39	.	.	PUNCT
cana-3637	123	1	3	3	X
cana-3637	123	2	.	.	NUM
cana-3637	123	3	proposed	propose	VERB
cana-3637	123	4	design	design	NOUN
cana-3637	123	5	of	of	ADP
cana-3637	123	6	an	an	DET
cana-3637	123	7	integrated	integrated	ADJ
cana-3637	123	8	model	model	NOUN
cana-3637	123	9	with	with	ADP
cana-3637	123	10	contrastive	contrastive	ADJ
cana-3637	123	11	predictive	predictive	ADJ
cana-3637	123	12	coding	coding	NOUN
cana-3637	123	13	and	and	CCONJ
cana-3637	123	14	modelagnostic	modelagnostic	ADJ
cana-3637	123	15	meta	meta	ADV
cana-3637	123	16	-	-	PUNCT
cana-3637	123	17	learning	learning	NOUN
cana-3637	123	18	for	for	ADP
cana-3637	123	19	adaptive	adaptive	ADJ
cana-3637	123	20	and	and	CCONJ
cana-3637	123	21	explainable	explainable	ADJ
cana-3637	123	22	mobile	mobile	ADJ
cana-3637	123	23	forensic	forensic	ADJ
cana-3637	123	24	analysis	analysis	NOUN
cana-3637	123	25	to	to	PART
cana-3637	123	26	overcome	overcome	VERB
cana-3637	123	27	the	the	DET
cana-3637	123	28	issues	issue	NOUN
cana-3637	123	29	of	of	ADP
cana-3637	123	30	low	low	ADJ
cana-3637	123	31	efficiency	efficiency	NOUN
cana-3637	123	32	&	&	CCONJ
cana-3637	123	33	high	high	ADJ
cana-3637	123	34	complexity	complexity	NOUN
cana-3637	123	35	of	of	ADP
cana-3637	123	36	forensic	forensic	ADJ
cana-3637	123	37	analysis	analysis	NOUN
cana-3637	123	38	present	present	ADJ
cana-3637	123	39	in	in	ADP
cana-3637	123	40	existing	exist	VERB
cana-3637	123	41	models	model	NOUN
cana-3637	123	42	,	,	PUNCT
cana-3637	123	43	this	this	DET
cana-3637	123	44	section	section	NOUN
cana-3637	123	45	discusses	discuss	VERB
cana-3637	123	46	design	design	NOUN
cana-3637	123	47	of	of	ADP
cana-3637	123	48	an	an	DET
cana-3637	123	49	integrated	integrated	ADJ
cana-3637	123	50	model	model	NOUN
cana-3637	123	51	with	with	ADP
cana-3637	123	52	contrastive	contrastive	ADJ
cana-3637	123	53	predictive	predictive	ADJ
cana-3637	123	54	coding	coding	NOUN
cana-3637	123	55	and	and	CCONJ
cana-3637	123	56	model	model	NOUN
cana-3637	123	57	-	-	ADJ
cana-3637	123	58	agnostic	agnostic	ADJ
cana-3637	123	59	meta	meta	NOUN
cana-3637	123	60	-	-	PUNCT
cana-3637	123	61	learning	learning	NOUN
cana-3637	123	62	for	for	ADP
cana-3637	123	63	adaptive	adaptive	ADJ
cana-3637	123	64	and	and	CCONJ
cana-3637	123	65	explainable	explainable	ADJ
cana-3637	123	66	mobile	mobile	ADJ
cana-3637	123	67	forensic	forensic	ADJ
cana-3637	123	68	analysis	analysis	NOUN
cana-3637	123	69	.	.	PUNCT
cana-3637	124	1	in	in	ADP
cana-3637	124	2	figure	figure	NOUN
cana-3637	124	3	1	1	NUM
cana-3637	124	4	,	,	PUNCT
cana-3637	124	5	based	base	VERB
cana-3637	124	6	on	on	ADP
cana-3637	124	7	an	an	DET
cana-3637	124	8	initial	initial	ADJ
cana-3637	124	9	setup	setup	NOUN
cana-3637	124	10	for	for	ADP
cana-3637	124	11	the	the	DET
cana-3637	124	12	suggested	suggest	VERB
cana-3637	124	13	framework	framework	NOUN
cana-3637	124	14	,	,	PUNCT
cana-3637	124	15	all	all	DET
cana-3637	124	16	these	these	DET
cana-3637	124	17	methodologies	methodology	NOUN
cana-3637	124	18	work	work	VERB
cana-3637	124	19	in	in	ADP
cana-3637	124	20	an	an	DET
cana-3637	124	21	integrative	integrative	ADJ
cana-3637	124	22	manner	manner	NOUN
cana-3637	124	23	to	to	PART
cana-3637	124	24	cope	cope	VERB
cana-3637	124	25	with	with	ADP
cana-3637	124	26	different	different	ADJ
cana-3637	124	27	challenges	challenge	NOUN
cana-3637	124	28	in	in	ADP
cana-3637	124	29	extracting	extract	VERB
cana-3637	124	30	features	feature	NOUN
cana-3637	124	31	with	with	ADP
cana-3637	124	32	rapid	rapid	ADJ
cana-3637	124	33	adaptation	adaptation	NOUN
cana-3637	124	34	capability	capability	NOUN
cana-3637	124	35	,	,	PUNCT
cana-3637	124	36	even	even	ADV
cana-3637	124	37	interpretability	interpretability	NOUN
cana-3637	124	38	over	over	ADP
cana-3637	124	39	mobile	mobile	ADJ
cana-3637	124	40	data	datum	NOUN
cana-3637	124	41	analysis	analysis	NOUN
cana-3637	124	42	.	.	PUNCT
cana-3637	125	1	starting	start	VERB
cana-3637	125	2	from	from	ADP
cana-3637	125	3	here	here	ADV
cana-3637	125	4	,	,	PUNCT
cana-3637	125	5	cpc	cpc	PROPN
cana-3637	125	6	initially	initially	ADV
cana-3637	125	7	helps	help	VERB
cana-3637	125	8	discover	discover	VERB
cana-3637	125	9	sequential	sequential	ADJ
cana-3637	125	10	dependencies	dependency	NOUN
cana-3637	125	11	that	that	PRON
cana-3637	125	12	occur	occur	VERB
cana-3637	125	13	inherently	inherently	ADV
cana-3637	125	14	in	in	ADP
cana-3637	125	15	raw	raw	ADJ
cana-3637	125	16	unlabeled	unlabeled	ADJ
cana-3637	125	17	data	datum	NOUN
cana-3637	125	18	from	from	ADP
cana-3637	125	19	mobile	mobile	NOUN
cana-3637	125	20	with	with	ADP
cana-3637	125	21	the	the	DET
cana-3637	125	22	use	use	NOUN
cana-3637	125	23	of	of	ADP
cana-3637	125	24	self	self	NOUN
cana-3637	125	25	-	-	PUNCT
cana-3637	125	26	supervised	supervise	VERB
cana-3637	125	27	learning	learning	NOUN
cana-3637	125	28	methods	method	NOUN
cana-3637	125	29	.	.	PUNCT
cana-3637	126	1	the	the	DET
cana-3637	126	2	encoder	encoder	NOUN
cana-3637	126	3	in	in	ADP
cana-3637	126	4	cpc	cpc	PROPN
cana-3637	126	5	maximizes	maximize	VERB
cana-3637	126	6	mutual	mutual	ADJ
cana-3637	126	7	information	information	NOUN
cana-3637	126	8	between	between	ADP
cana-3637	126	9	context	context	NOUN
cana-3637	126	10	and	and	CCONJ
cana-3637	126	11	future	future	ADJ
cana-3637	126	12	predictions	prediction	NOUN
cana-3637	126	13	such	such	ADJ
cana-3637	126	14	that	that	SCONJ
cana-3637	126	15	the	the	DET
cana-3637	126	16	model	model	NOUN
cana-3637	126	17	learns	learn	VERB
cana-3637	126	18	informative	informative	ADJ
cana-3637	126	19	representations	representation	NOUN
cana-3637	126	20	from	from	ADP
cana-3637	126	21	the	the	DET
cana-3637	126	22	mobile	mobile	ADJ
cana-3637	126	23	data	datum	NOUN
cana-3637	126	24	patterns	pattern	NOUN
cana-3637	126	25	.	.	PUNCT
cana-3637	127	1	considering	consider	VERB
cana-3637	127	2	a	a	DET
cana-3637	127	3	sequence	sequence	NOUN
cana-3637	127	4	of	of	ADP
cana-3637	127	5	mobile	mobile	ADJ
cana-3637	127	6	data	datum	NOUN
cana-3637	127	7	samples	sample	NOUN
cana-3637	127	8	{	{	PUNCT
cana-3637	127	9	x1,x2,	x1,x2,	NOUN
cana-3637	127	10	…	…	PUNCT
cana-3637	127	11	,xt	,xt	NOUN
cana-3637	127	12	}	}	PUNCT
cana-3637	127	13	,	,	PUNCT
cana-3637	127	14	each	each	DET
cana-3637	127	15	data	datum	NOUN
cana-3637	127	16	point	point	NOUN
cana-3637	127	17	'	'	PUNCT
cana-3637	127	18	xt	xt	X
cana-3637	127	19	'	'	PUNCT
cana-3637	127	20	is	be	AUX
cana-3637	127	21	mapped	map	VERB
cana-3637	127	22	to	to	ADP
cana-3637	127	23	an	an	DET
cana-3637	127	24	embedding	embed	VERB
cana-3637	127	25	'	'	PUNCT
cana-3637	127	26	zt	zt	NOUN
cana-3637	127	27	'	'	PUNCT
cana-3637	127	28	via	via	ADP
cana-3637	127	29	the	the	DET
cana-3637	127	30	mapping	mapping	NOUN
cana-3637	127	31	function	function	NOUN
cana-3637	127	32	fθ	fθ	AUX
cana-3637	127	33	represented	represent	VERB
cana-3637	127	34	via	via	ADP
cana-3637	127	35	equation	equation	NOUN
cana-3637	127	36	1	1	NUM
cana-3637	127	37	:	:	PUNCT
cana-3637	127	38	after	after	ADP
cana-3637	127	39	such	such	DET
cana-3637	127	40	an	an	DET
cana-3637	127	41	embedding	embedding	NOUN
cana-3637	127	42	,	,	PUNCT
cana-3637	127	43	the	the	DET
cana-3637	127	44	dependency	dependency	NOUN
cana-3637	127	45	relations	relation	NOUN
cana-3637	127	46	from	from	ADP
cana-3637	127	47	context	context	NOUN
cana-3637	127	48	'	'	PUNCT
cana-3637	127	49	ct	ct	PRON
cana-3637	127	50	'	'	PUNCT
cana-3637	127	51	would	would	AUX
cana-3637	127	52	be	be	AUX
cana-3637	127	53	captured	capture	VERB
cana-3637	127	54	using	use	VERB
cana-3637	127	55	a	a	DET
cana-3637	127	56	recurrent	recurrent	ADJ
cana-3637	127	57	function	function	NOUN
cana-3637	127	58	gϕ	gϕ	PROPN
cana-3637	127	59	given	give	VERB
cana-3637	127	60	as	as	ADP
cana-3637	127	61	ct	ct	PROPN
cana-3637	127	62	=	=	PROPN
cana-3637	127	63	gϕ(z1,z2,	gϕ(z1,z2,	NOUN
cana-3637	127	64	…	…	X
cana-3637	127	65	,zt	,zt	X
cana-3637	127	66	)	)	PUNCT
cana-3637	127	67	in	in	ADP
cana-3637	127	68	process	process	NOUN
cana-3637	127	69	.	.	PUNCT
cana-3637	128	1	for	for	ADP
cana-3637	128	2	this	this	DET
cana-3637	128	3	purpose	purpose	NOUN
cana-3637	128	4	,	,	PUNCT
cana-3637	128	5	mutual	mutual	ADJ
cana-3637	128	6	information	information	NOUN
cana-3637	128	7	i(ct;z(t+k	i(ct;z(t+k	NUM
cana-3637	128	8	)	)	PUNCT
cana-3637	128	9	)	)	PUNCT
cana-3637	128	10	is	be	AUX
cana-3637	128	11	maximized	maximize	VERB
cana-3637	128	12	by	by	ADP
cana-3637	128	13	predicting	predict	VERB
cana-3637	128	14	future	future	ADJ
cana-3637	128	15	latent	latent	NOUN
cana-3637	128	16	representations	representation	NOUN
cana-3637	128	17	z(t+k	z(t+k	NOUN
cana-3637	128	18	)	)	PUNCT
cana-3637	128	19	with	with	ADP
cana-3637	128	20	k>0	k>0	NOUN
cana-3637	128	21	to	to	PART
cana-3637	128	22	capture	capture	VERB
cana-3637	128	23	proper	proper	ADJ
cana-3637	128	24	mutual	mutual	ADJ
cana-3637	128	25	relationships	relationship	NOUN
cana-3637	128	26	while	while	SCONJ
cana-3637	128	27	minimizing	minimize	VERB
cana-3637	128	28	such	such	ADJ
cana-3637	128	29	relationships	relationship	NOUN
cana-3637	128	30	in	in	ADP
cana-3637	128	31	the	the	DET
cana-3637	128	32	case	case	NOUN
cana-3637	128	33	of	of	ADP
cana-3637	128	34	wrong	wrong	ADJ
cana-3637	128	35	correlations	correlation	NOUN
cana-3637	128	36	.	.	PUNCT
cana-3637	129	1	the	the	DET
cana-3637	129	2	actual	actual	ADJ
cana-3637	129	3	cpc	cpc	PROPN
cana-3637	129	4	loss	loss	NOUN
cana-3637	129	5	function	function	NOUN
cana-3637	129	6	is	be	AUX
cana-3637	129	7	considered	consider	VERB
cana-3637	129	8	an	an	DET
cana-3637	129	9	important	important	ADJ
cana-3637	129	10	part	part	NOUN
cana-3637	129	11	of	of	ADP
cana-3637	129	12	representation	representation	NOUN
cana-3637	129	13	learning	learning	NOUN
cana-3637	129	14	in	in	ADP
cana-3637	129	15	this	this	DET
cana-3637	129	16	process	process	NOUN
cana-3637	129	17	because	because	SCONJ
cana-3637	129	18	it	it	PRON
cana-3637	129	19	originates	originate	VERB
cana-3637	129	20	from	from	ADP
cana-3637	129	21	a	a	DET
cana-3637	129	22	contrasting	contrast	VERB
cana-3637	129	23	loss	loss	NOUN
cana-3637	129	24	.	.	PUNCT
cana-3637	130	1	this	this	DET
cana-3637	130	2	loss	loss	NOUN
cana-3637	130	3	can	can	AUX
cana-3637	130	4	make	make	VERB
cana-3637	130	5	the	the	DET
cana-3637	130	6	positive	positive	ADJ
cana-3637	130	7	samples	sample	NOUN
cana-3637	130	8	much	much	ADV
cana-3637	130	9	closer	close	ADV
cana-3637	130	10	to	to	ADP
cana-3637	130	11	each	each	DET
cana-3637	130	12	other	other	ADJ
cana-3637	130	13	when	when	SCONJ
cana-3637	130	14	they	they	PRON
cana-3637	130	15	are	be	AUX
cana-3637	130	16	in	in	ADP
cana-3637	130	17	the	the	DET
cana-3637	130	18	space	space	NOUN
cana-3637	130	19	of	of	ADP
cana-3637	130	20	embedding	embed	VERB
cana-3637	130	21	,	,	PUNCT
cana-3637	130	22	and	and	CCONJ
cana-3637	130	23	move	move	VERB
cana-3637	130	24	negative	negative	ADJ
cana-3637	130	25	samples	sample	NOUN
cana-3637	130	26	away	away	ADV
cana-3637	130	27	from	from	ADP
cana-3637	130	28	these	these	DET
cana-3637	130	29	points	point	NOUN
cana-3637	130	30	.	.	PUNCT
cana-3637	131	1	specifically	specifically	ADV
cana-3637	131	2	,	,	PUNCT
cana-3637	131	3	for	for	ADP
cana-3637	131	4	each	each	DET
cana-3637	131	5	pair	pair	NOUN
cana-3637	131	6	of	of	ADP
cana-3637	131	7	z(t+k	z(t+k	NUM
cana-3637	131	8	)	)	PUNCT
cana-3637	131	9	and	and	CCONJ
cana-3637	131	10	'	'	PUNCT
cana-3637	131	11	ct	ct	NOUN
cana-3637	131	12	'	'	PUNCT
cana-3637	131	13	,	,	PUNCT
cana-3637	131	14	the	the	DET
cana-3637	131	15	objective	objective	NOUN
cana-3637	131	16	is	be	AUX
cana-3637	131	17	to	to	PART
cana-3637	131	18	minimize	minimize	VERB
cana-3637	131	19	a	a	DET
cana-3637	131	20	contrastive	contrastive	ADJ
cana-3637	131	21	loss	loss	NOUN
cana-3637	131	22	defined	define	VERB
cana-3637	131	23	via	via	ADP
cana-3637	131	24	equation	equation	NOUN
cana-3637	131	25	2	2	NUM
cana-3637	131	26	,	,	PUNCT
cana-3637	131	27	where	where	SCONJ
cana-3637	131	28	,	,	PUNCT
cana-3637	131	29	initial	initial	ADJ
cana-3637	131	30	terms	term	NOUN
cana-3637	131	31	represents	represent	VERB
cana-3637	131	32	the	the	DET
cana-3637	131	33	similarity	similarity	NOUN
cana-3637	131	34	between	between	ADP
cana-3637	131	35	the	the	DET
cana-3637	131	36	context	context	NOUN
cana-3637	131	37	vector	vector	NOUN
cana-3637	131	38	'	'	PUNCT
cana-3637	131	39	ct	ct	NOUN
cana-3637	131	40	'	'	PUNCT
cana-3637	131	41	and	and	CCONJ
cana-3637	131	42	the	the	DET
cana-3637	131	43	true	true	ADJ
cana-3637	131	44	future	future	ADJ
cana-3637	131	45	representation	representation	NOUN
cana-3637	131	46	z(t+k	z(t+k	NUM
cana-3637	131	47	)	)	PUNCT
cana-3637	131	48	in	in	ADP
cana-3637	131	49	process	process	NOUN
cana-3637	131	50	.	.	PUNCT
cana-3637	132	1	this	this	DET
cana-3637	132	2	process	process	NOUN
cana-3637	132	3	reduces	reduce	VERB
cana-3637	132	4	the	the	DET
cana-3637	132	5	cpc	cpc	PROPN
cana-3637	132	6	loss	loss	NOUN
cana-3637	132	7	by	by	ADP
cana-3637	132	8	maximizing	maximize	VERB
cana-3637	132	9	mutual	mutual	ADJ
cana-3637	132	10	information	information	NOUN
cana-3637	132	11	i(ct;z(t+k	i(ct;z(t+k	NUM
cana-3637	132	12	)	)	PUNCT
cana-3637	132	13	)	)	PUNCT
cana-3637	132	14	,	,	PUNCT
cana-3637	132	15	ensuring	ensure	VERB
cana-3637	132	16	that	that	SCONJ
cana-3637	132	17	the	the	DET
cana-3637	132	18	model	model	NOUN
cana-3637	132	19	captures	capture	VERB
cana-3637	132	20	essential	essential	ADJ
cana-3637	132	21	sequential	sequential	ADJ
cana-3637	132	22	patterns	pattern	NOUN
cana-3637	132	23	in	in	ADP
cana-3637	132	24	mobile	mobile	ADJ
cana-3637	132	25	data	datum	NOUN
cana-3637	132	26	samples	sample	NOUN
cana-3637	132	27	.	.	PUNCT
cana-3637	133	1	after	after	ADP
cana-3637	133	2	the	the	DET
cana-3637	133	3	representation	representation	NOUN
cana-3637	133	4	learning	learn	VERB
cana-3637	133	5	with	with	ADP
cana-3637	133	6	cpc	cpc	PROPN
cana-3637	133	7	,	,	PUNCT
cana-3637	133	8	maml	maml	NOUN
cana-3637	133	9	enhances	enhance	VERB
cana-3637	133	10	flexibility	flexibility	NOUN
cana-3637	133	11	in	in	ADP
cana-3637	133	12	the	the	DET
cana-3637	133	13	framework	framework	NOUN
cana-3637	133	14	communications	communication	NOUN
cana-3637	133	15	on	on	ADP
cana-3637	133	16	applied	apply	VERB
cana-3637	133	17	nonlinear	nonlinear	ADJ
cana-3637	133	18	analysis	analysis	NOUN
cana-3637	133	19	issn	issn	NOUN
cana-3637	133	20	:	:	PUNCT
cana-3637	133	21	1074	1074	NUM
cana-3637	133	22	-	-	PUNCT
cana-3637	133	23	133x	133x	NUM
cana-3637	133	24	vol	vol	NOUN
cana-3637	133	25	32	32	NUM
cana-3637	133	26	no	no	NOUN
cana-3637	133	27	.	.	PUNCT
cana-3637	134	1	8s	8s	PROPN
cana-3637	134	2	(	(	PUNCT
cana-3637	134	3	2025	2025	NUM
cana-3637	134	4	)	)	PUNCT
cana-3637	134	5	220	220	NUM
cana-3637	134	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	134	7	by	by	ADP
cana-3637	134	8	optimizing	optimize	VERB
cana-3637	134	9	for	for	ADP
cana-3637	134	10	fast	fast	ADJ
cana-3637	134	11	adaptation	adaptation	NOUN
cana-3637	134	12	on	on	ADP
cana-3637	134	13	new	new	ADJ
cana-3637	134	14	forensic	forensic	ADJ
cana-3637	134	15	tasks	task	NOUN
cana-3637	134	16	.	.	PUNCT
cana-3637	135	1	maml	maml	PROPN
cana-3637	135	2	adjusts	adjust	VERB
cana-3637	135	3	model	model	NOUN
cana-3637	135	4	parameters	parameter	NOUN
cana-3637	135	5	θ	θ	PROPN
cana-3637	135	6	as	as	SCONJ
cana-3637	135	7	to	to	PART
cana-3637	135	8	enable	enable	VERB
cana-3637	135	9	rapid	rapid	ADJ
cana-3637	135	10	adaptation	adaptation	NOUN
cana-3637	135	11	over	over	ADP
cana-3637	135	12	a	a	DET
cana-3637	135	13	small	small	ADJ
cana-3637	135	14	number	number	NOUN
cana-3637	135	15	of	of	ADP
cana-3637	135	16	gradient	gradient	ADJ
cana-3637	135	17	steps	step	NOUN
cana-3637	135	18	using	use	VERB
cana-3637	135	19	new	new	ADJ
cana-3637	135	20	data	datum	NOUN
cana-3637	135	21	samples	sample	NOUN
cana-3637	135	22	.	.	PUNCT
cana-3637	136	1	for	for	ADP
cana-3637	136	2	each	each	DET
cana-3637	136	3	task	task	NOUN
cana-3637	136	4	'	'	PUNCT
cana-3637	136	5	ti	ti	NOUN
cana-3637	136	6	'	'	PUNCT
cana-3637	136	7	,	,	PUNCT
cana-3637	136	8	the	the	DET
cana-3637	136	9	model	model	NOUN
cana-3637	136	10	derives	derive	VERB
cana-3637	136	11	an	an	DET
cana-3637	136	12	inner	inner	ADJ
cana-3637	136	13	adaptation	adaptation	NOUN
cana-3637	136	14	step	step	NOUN
cana-3637	136	15	,	,	PUNCT
cana-3637	136	16	thereby	thereby	ADV
cana-3637	136	17	updating	update	VERB
cana-3637	136	18	parameters	parameter	NOUN
cana-3637	136	19	θ	θ	NOUN
cana-3637	136	20	to	to	ADP
cana-3637	136	21	the	the	DET
cana-3637	136	22	value	value	NOUN
cana-3637	136	23	of	of	ADP
cana-3637	136	24	θi′	θi′	NOUN
cana-3637	136	25	through	through	ADP
cana-3637	136	26	gradient	gradient	ADJ
cana-3637	136	27	descent	descent	NOUN
cana-3637	136	28	via	via	ADP
cana-3637	136	29	the	the	DET
cana-3637	136	30	following	follow	VERB
cana-3637	136	31	equation	equation	NOUN
cana-3637	136	32	3	3	NUM
cana-3637	136	33	,	,	PUNCT
cana-3637	136	34	figure	figure	NOUN
cana-3637	136	35	1	1	NUM
cana-3637	136	36	.	.	PUNCT
cana-3637	136	37	model	model	NOUN
cana-3637	136	38	architecture	architecture	NOUN
cana-3637	136	39	of	of	ADP
cana-3637	136	40	the	the	DET
cana-3637	136	41	proposed	propose	VERB
cana-3637	136	42	analysis	analysis	NOUN
cana-3637	136	43	process	process	NOUN
cana-3637	136	44	communications	communication	NOUN
cana-3637	136	45	on	on	ADP
cana-3637	136	46	applied	apply	VERB
cana-3637	136	47	nonlinear	nonlinear	ADJ
cana-3637	136	48	analysis	analysis	NOUN
cana-3637	136	49	issn	issn	NOUN
cana-3637	136	50	:	:	PUNCT
cana-3637	136	51	1074	1074	NUM
cana-3637	136	52	-	-	PUNCT
cana-3637	136	53	133x	133x	NUM
cana-3637	136	54	vol	vol	NOUN
cana-3637	136	55	32	32	NUM
cana-3637	136	56	no	no	NOUN
cana-3637	136	57	.	.	PUNCT
cana-3637	137	1	8s	8s	PROPN
cana-3637	137	2	(	(	PUNCT
cana-3637	137	3	2025	2025	NUM
cana-3637	137	4	)	)	PUNCT
cana-3637	137	5	221	221	NUM
cana-3637	137	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	137	7	where	where	SCONJ
cana-3637	137	8	,	,	PUNCT
cana-3637	137	9	α	α	PROPN
cana-3637	137	10	is	be	AUX
cana-3637	137	11	learning	learn	VERB
cana-3637	137	12	rate	rate	NOUN
cana-3637	137	13	and	and	CCONJ
cana-3637	137	14	lti(θ	lti(θ	PROPN
cana-3637	137	15	)	)	PUNCT
cana-3637	137	16	is	be	AUX
cana-3637	137	17	the	the	DET
cana-3637	137	18	task	task	NOUN
cana-3637	137	19	-	-	PUNCT
cana-3637	137	20	dependent	dependent	ADJ
cana-3637	137	21	loss	loss	NOUN
cana-3637	137	22	.	.	PUNCT
cana-3637	138	1	the	the	DET
cana-3637	138	2	outer	outer	ADJ
cana-3637	138	3	optimization	optimization	NOUN
cana-3637	138	4	objective	objective	NOUN
cana-3637	138	5	of	of	ADP
cana-3637	138	6	maml	maml	NOUN
cana-3637	138	7	turns	turn	VERB
cana-3637	138	8	out	out	ADP
cana-3637	138	9	to	to	PART
cana-3637	138	10	be	be	AUX
cana-3637	138	11	minimisation	minimisation	NOUN
cana-3637	138	12	of	of	ADP
cana-3637	138	13	the	the	DET
cana-3637	138	14	sum	sum	NOUN
cana-3637	138	15	of	of	ADP
cana-3637	138	16	these	these	DET
cana-3637	138	17	task	task	NOUN
cana-3637	138	18	-	-	PUNCT
cana-3637	138	19	dependent	dependent	ADJ
cana-3637	138	20	losses	loss	NOUN
cana-3637	138	21	over	over	ADP
cana-3637	138	22	all	all	DET
cana-3637	138	23	tasks	task	NOUN
cana-3637	138	24	with	with	ADP
cana-3637	138	25	respect	respect	NOUN
cana-3637	138	26	to	to	ADP
cana-3637	138	27	the	the	DET
cana-3637	138	28	meta	meta	ADJ
cana-3637	138	29	-	-	PUNCT
cana-3637	138	30	parameters	parameter	NOUN
cana-3637	138	31	θ	θ	PROPN
cana-3637	138	32	via	via	ADP
cana-3637	138	33	equation	equation	NOUN
cana-3637	138	34	4	4	NUM
cana-3637	138	35	that	that	PRON
cana-3637	138	36	implies	imply	VERB
cana-3637	138	37	generalization	generalization	NOUN
cana-3637	138	38	across	across	ADP
cana-3637	138	39	the	the	DET
cana-3637	138	40	class	class	NOUN
cana-3637	138	41	of	of	ADP
cana-3637	138	42	tasks	task	NOUN
cana-3637	138	43	learned	learn	VERB
cana-3637	138	44	in	in	ADP
cana-3637	138	45	process	process	NOUN
cana-3637	138	46	.	.	PUNCT
cana-3637	139	1	figure	figure	NOUN
cana-3637	139	2	2	2	NUM
cana-3637	139	3	.	.	PUNCT
cana-3637	139	4	overall	overall	ADJ
cana-3637	139	5	flow	flow	NOUN
cana-3637	139	6	of	of	ADP
cana-3637	139	7	the	the	DET
cana-3637	139	8	proposed	propose	VERB
cana-3637	139	9	analysis	analysis	NOUN
cana-3637	139	10	process	process	NOUN
cana-3637	139	11	communications	communication	NOUN
cana-3637	139	12	on	on	ADP
cana-3637	139	13	applied	apply	VERB
cana-3637	139	14	nonlinear	nonlinear	ADJ
cana-3637	139	15	analysis	analysis	NOUN
cana-3637	139	16	issn	issn	NOUN
cana-3637	139	17	:	:	PUNCT
cana-3637	139	18	1074	1074	NUM
cana-3637	139	19	-	-	PUNCT
cana-3637	139	20	133x	133x	NUM
cana-3637	139	21	vol	vol	NOUN
cana-3637	139	22	32	32	NUM
cana-3637	139	23	no	no	NOUN
cana-3637	139	24	.	.	PUNCT
cana-3637	140	1	8s	8s	PROPN
cana-3637	140	2	(	(	PUNCT
cana-3637	140	3	2025	2025	NUM
cana-3637	140	4	)	)	PUNCT
cana-3637	140	5	222	222	NUM
cana-3637	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	140	7	this	this	DET
cana-3637	140	8	nested	nested	ADJ
cana-3637	140	9	optimization	optimization	NOUN
cana-3637	140	10	minimizes	minimize	VERB
cana-3637	140	11	maml	maml	ADJ
cana-3637	140	12	loss	loss	NOUN
cana-3637	140	13	lmaml	lmaml	NOUN
cana-3637	140	14	and	and	CCONJ
cana-3637	140	15	results	result	VERB
cana-3637	140	16	in	in	ADP
cana-3637	140	17	initialization	initialization	NOUN
cana-3637	140	18	that	that	PRON
cana-3637	140	19	adapts	adapt	VERB
cana-3637	140	20	to	to	ADP
cana-3637	140	21	a	a	DET
cana-3637	140	22	specific	specific	ADJ
cana-3637	140	23	forensic	forensic	ADJ
cana-3637	140	24	task	task	NOUN
cana-3637	140	25	quickly	quickly	ADV
cana-3637	140	26	,	,	PUNCT
cana-3637	140	27	such	such	ADJ
cana-3637	140	28	as	as	ADP
cana-3637	140	29	anomalous	anomalous	ADJ
cana-3637	140	30	user	user	NOUN
cana-3637	140	31	behavior	behavior	NOUN
cana-3637	140	32	classification	classification	NOUN
cana-3637	140	33	or	or	CCONJ
cana-3637	140	34	location	location	NOUN
cana-3637	140	35	-	-	PUNCT
cana-3637	140	36	based	base	VERB
cana-3637	140	37	data	data	NOUN
cana-3637	140	38	sample	sample	NOUN
cana-3637	140	39	clustering	clustering	NOUN
cana-3637	140	40	.	.	PUNCT
cana-3637	141	1	next	next	ADV
cana-3637	141	2	,	,	PUNCT
cana-3637	141	3	as	as	ADP
cana-3637	141	4	in	in	ADP
cana-3637	141	5	figure	figure	NOUN
cana-3637	141	6	2	2	NUM
cana-3637	141	7	,	,	PUNCT
cana-3637	141	8	integration	integration	NOUN
cana-3637	141	9	of	of	ADP
cana-3637	141	10	shapley	shapley	ADJ
cana-3637	141	11	additive	additive	ADJ
cana-3637	141	12	explanations	explanation	NOUN
cana-3637	141	13	(	(	PUNCT
cana-3637	141	14	shap	shap	NOUN
cana-3637	141	15	)	)	PUNCT
cana-3637	141	16	is	be	AUX
cana-3637	141	17	done	do	VERB
cana-3637	141	18	further	far	ADV
cana-3637	141	19	for	for	ADP
cana-3637	141	20	optimization	optimization	NOUN
cana-3637	141	21	of	of	ADP
cana-3637	141	22	the	the	DET
cana-3637	141	23	model	model	NOUN
cana-3637	141	24	,	,	PUNCT
cana-3637	141	25	allowing	allow	VERB
cana-3637	141	26	interpretation	interpretation	NOUN
cana-3637	141	27	by	by	ADP
cana-3637	141	28	the	the	DET
cana-3637	141	29	computation	computation	NOUN
cana-3637	141	30	of	of	ADP
cana-3637	141	31	the	the	DET
cana-3637	141	32	shapley	shapley	ADJ
cana-3637	141	33	values	value	NOUN
cana-3637	141	34	given	give	VERB
cana-3637	141	35	as	as	ADP
cana-3637	141	36	ϕi	ϕi	ADP
cana-3637	141	37	with	with	ADP
cana-3637	141	38	regard	regard	NOUN
cana-3637	141	39	to	to	ADP
cana-3637	141	40	predictions	prediction	NOUN
cana-3637	141	41	of	of	ADP
cana-3637	141	42	features	feature	NOUN
cana-3637	141	43	'	'	PUNCT
cana-3637	141	44	i	i	PRON
cana-3637	141	45	'	'	PUNCT
cana-3637	141	46	.	.	PUNCT
cana-3637	142	1	shap	shap	PROPN
cana-3637	142	2	values	value	NOUN
cana-3637	142	3	are	be	AUX
cana-3637	142	4	given	give	VERB
cana-3637	142	5	to	to	ADP
cana-3637	142	6	state	state	NOUN
cana-3637	142	7	how	how	SCONJ
cana-3637	142	8	much	much	ADJ
cana-3637	142	9	a	a	DET
cana-3637	142	10	feature	feature	NOUN
cana-3637	142	11	'	'	PUNCT
cana-3637	142	12	contributes	contribute	VERB
cana-3637	142	13	'	'	PUNCT
cana-3637	142	14	to	to	PART
cana-3637	142	15	make	make	VERB
cana-3637	142	16	that	that	DET
cana-3637	142	17	particular	particular	ADJ
cana-3637	142	18	prediction	prediction	NOUN
cana-3637	142	19	as	as	SCONJ
cana-3637	142	20	shown	show	VERB
cana-3637	142	21	via	via	ADP
cana-3637	142	22	equation	equation	NOUN
cana-3637	142	23	5	5	NUM
cana-3637	142	24	.	.	PUNCT
cana-3637	143	1	where	where	SCONJ
cana-3637	143	2	,	,	PUNCT
cana-3637	143	3	'	'	PUNCT
cana-3637	143	4	m	m	VERB
cana-3637	143	5	'	'	PUNCT
cana-3637	143	6	is	be	AUX
cana-3637	143	7	the	the	DET
cana-3637	143	8	number	number	NOUN
cana-3637	143	9	of	of	ADP
cana-3637	143	10	features	feature	NOUN
cana-3637	143	11	,	,	PUNCT
cana-3637	143	12	's	be	AUX
cana-3637	143	13	'	'	PUNCT
cana-3637	143	14	is	be	AUX
cana-3637	143	15	a	a	DET
cana-3637	143	16	subset	subset	NOUN
cana-3637	143	17	of	of	ADP
cana-3637	143	18	the	the	DET
cana-3637	143	19	features	feature	NOUN
cana-3637	143	20	excluding	exclude	VERB
cana-3637	143	21	'	'	PUNCT
cana-3637	143	22	i	i	PRON
cana-3637	143	23	,	,	PUNCT
cana-3637	143	24	'	'	PUNCT
cana-3637	143	25	and	and	CCONJ
cana-3637	143	26	f(s	f(	NOUN
cana-3637	143	27	)	)	PUNCT
cana-3637	144	1	is	be	AUX
cana-3637	144	2	the	the	DET
cana-3637	144	3	model	model	NOUN
cana-3637	144	4	output	output	NOUN
cana-3637	144	5	based	base	VERB
cana-3637	144	6	on	on	ADP
cana-3637	144	7	only	only	ADV
cana-3637	144	8	the	the	DET
cana-3637	144	9	features	feature	NOUN
cana-3637	144	10	in	in	ADP
cana-3637	144	11	sets	set	NOUN
cana-3637	144	12	's	's	PART
cana-3637	144	13	'	'	PUNCT
cana-3637	144	14	.	.	PUNCT
cana-3637	145	1	the	the	DET
cana-3637	145	2	above	above	ADJ
cana-3637	145	3	calculation	calculation	NOUN
cana-3637	145	4	assigns	assign	VERB
cana-3637	145	5	an	an	DET
cana-3637	145	6	importance	importance	NOUN
cana-3637	145	7	score	score	NOUN
cana-3637	145	8	to	to	ADP
cana-3637	145	9	each	each	DET
cana-3637	145	10	feature	feature	NOUN
cana-3637	145	11	by	by	ADP
cana-3637	145	12	understanding	understand	VERB
cana-3637	145	13	the	the	DET
cana-3637	145	14	effect	effect	NOUN
cana-3637	145	15	of	of	ADP
cana-3637	145	16	adding	add	VERB
cana-3637	145	17	'	'	PUNCT
cana-3637	145	18	i	i	PRON
cana-3637	145	19	'	'	PUNCT
cana-3637	145	20	to	to	ADP
cana-3637	145	21	different	different	ADJ
cana-3637	145	22	subsets	subset	NOUN
cana-3637	145	23	thereby	thereby	ADV
cana-3637	145	24	allowing	allow	VERB
cana-3637	145	25	forensic	forensic	ADJ
cana-3637	145	26	analysts	analyst	NOUN
cana-3637	145	27	to	to	PART
cana-3637	145	28	understand	understand	VERB
cana-3637	145	29	which	which	DET
cana-3637	145	30	data	datum	NOUN
cana-3637	145	31	attributes	attribute	NOUN
cana-3637	145	32	are	be	AUX
cana-3637	145	33	attributed	attribute	VERB
cana-3637	145	34	to	to	ADP
cana-3637	145	35	predictions	prediction	NOUN
cana-3637	145	36	such	such	ADJ
cana-3637	145	37	as	as	ADP
cana-3637	145	38	peculiar	peculiar	ADJ
cana-3637	145	39	text	text	NOUN
cana-3637	145	40	patterns	pattern	NOUN
cana-3637	145	41	or	or	CCONJ
cana-3637	145	42	anomalies	anomaly	NOUN
cana-3637	145	43	from	from	ADP
cana-3637	145	44	call	call	NOUN
cana-3637	145	45	logs	log	NOUN
cana-3637	145	46	.	.	PUNCT
cana-3637	146	1	hence	hence	ADV
cana-3637	146	2	,	,	PUNCT
cana-3637	146	3	these	these	DET
cana-3637	146	4	three	three	NUM
cana-3637	146	5	form	form	NOUN
cana-3637	146	6	a	a	DET
cana-3637	146	7	coherent	coherent	ADJ
cana-3637	146	8	structure	structure	NOUN
cana-3637	146	9	of	of	ADP
cana-3637	146	10	a	a	DET
cana-3637	146	11	single	single	ADJ
cana-3637	146	12	model	model	NOUN
cana-3637	146	13	.	.	PUNCT
cana-3637	147	1	each	each	DET
cana-3637	147	2	part	part	NOUN
cana-3637	147	3	fortifies	fortify	VERB
cana-3637	147	4	various	various	ADJ
cana-3637	147	5	aspects	aspect	NOUN
cana-3637	147	6	of	of	ADP
cana-3637	147	7	data	datum	NOUN
cana-3637	147	8	analysis	analysis	NOUN
cana-3637	147	9	for	for	ADP
cana-3637	147	10	forensic	forensic	ADJ
cana-3637	147	11	science	science	NOUN
cana-3637	147	12	through	through	ADP
cana-3637	147	13	cpc	cpc	PROPN
cana-3637	147	14	.	.	PUNCT
cana-3637	148	1	it	it	PRON
cana-3637	148	2	captures	capture	VERB
cana-3637	148	3	all	all	DET
cana-3637	148	4	the	the	DET
cana-3637	148	5	highdimensional	highdimensional	ADJ
cana-3637	148	6	sequential	sequential	ADJ
cana-3637	148	7	representations	representation	NOUN
cana-3637	148	8	where	where	SCONJ
cana-3637	148	9	maml	maml	NOUN
cana-3637	148	10	allows	allow	VERB
cana-3637	148	11	fast	fast	ADJ
cana-3637	148	12	forensic	forensic	ADJ
cana-3637	148	13	case	case	NOUN
cana-3637	148	14	adaptation	adaptation	NOUN
cana-3637	148	15	with	with	ADP
cana-3637	148	16	minimal	minimal	ADJ
cana-3637	148	17	overheads	overhead	NOUN
cana-3637	148	18	in	in	ADP
cana-3637	148	19	additional	additional	ADJ
cana-3637	148	20	computations	computation	NOUN
cana-3637	148	21	.	.	PUNCT
cana-3637	149	1	besides	besides	SCONJ
cana-3637	149	2	,	,	PUNCT
cana-3637	149	3	shap	shap	PROPN
cana-3637	149	4	ensures	ensure	VERB
cana-3637	149	5	interpretability	interpretability	NOUN
cana-3637	149	6	in	in	ADP
cana-3637	149	7	each	each	DET
cana-3637	149	8	one	one	NUM
cana-3637	149	9	of	of	ADP
cana-3637	149	10	these	these	DET
cana-3637	149	11	results	result	NOUN
cana-3637	149	12	.	.	PUNCT
cana-3637	150	1	this	this	DET
cana-3637	150	2	model	model	NOUN
cana-3637	150	3	further	far	ADV
cana-3637	150	4	updates	update	VERB
cana-3637	150	5	parameters	parameter	NOUN
cana-3637	150	6	after	after	ADP
cana-3637	150	7	some	some	DET
cana-3637	150	8	iterations	iteration	NOUN
cana-3637	150	9	using	use	VERB
cana-3637	150	10	joint	joint	ADJ
cana-3637	150	11	loss	loss	NOUN
cana-3637	150	12	ljoint	ljoint	NOUN
cana-3637	150	13	by	by	ADP
cana-3637	150	14	adding	add	VERB
cana-3637	150	15	together	together	ADV
cana-3637	150	16	all	all	DET
cana-3637	150	17	the	the	DET
cana-3637	150	18	individual	individual	ADJ
cana-3637	150	19	losses	loss	NOUN
cana-3637	150	20	via	via	ADP
cana-3637	150	21	equation	equation	NOUN
cana-3637	150	22	6	6	NUM
cana-3637	150	23	:	:	PUNCT
cana-3637	150	24	where	where	SCONJ
cana-3637	150	25	,	,	PUNCT
cana-3637	150	26	β	β	NOUN
cana-3637	150	27	and	and	CCONJ
cana-3637	150	28	γ	γ	PROPN
cana-3637	150	29	are	be	AUX
cana-3637	150	30	scaling	scale	VERB
cana-3637	150	31	factors	factor	NOUN
cana-3637	150	32	.	.	PUNCT
cana-3637	151	1	minimizing	minimize	VERB
cana-3637	151	2	ljoint	ljoint	NOUN
cana-3637	151	3	balances	balance	NOUN
cana-3637	151	4	high	high	ADJ
cana-3637	151	5	-	-	PUNCT
cana-3637	151	6	quality	quality	NOUN
cana-3637	151	7	representation	representation	NOUN
cana-3637	151	8	learning	learning	NOUN
cana-3637	151	9	,	,	PUNCT
cana-3637	151	10	adaptability	adaptability	NOUN
cana-3637	151	11	,	,	PUNCT
cana-3637	151	12	and	and	CCONJ
cana-3637	151	13	interpretability	interpretability	NOUN
cana-3637	151	14	operations	operation	NOUN
cana-3637	151	15	.	.	PUNCT
cana-3637	152	1	the	the	DET
cana-3637	152	2	application	application	NOUN
cana-3637	152	3	of	of	ADP
cana-3637	152	4	this	this	DET
cana-3637	152	5	framework	framework	NOUN
cana-3637	152	6	yields	yield	VERB
cana-3637	152	7	embeddings	embedding	NOUN
cana-3637	152	8	that	that	PRON
cana-3637	152	9	generalize	generalize	VERB
cana-3637	152	10	well	well	ADV
cana-3637	152	11	across	across	ADP
cana-3637	152	12	tasks	task	NOUN
cana-3637	152	13	,	,	PUNCT
cana-3637	152	14	verified	verify	VERB
cana-3637	152	15	by	by	ADP
cana-3637	152	16	an	an	DET
cana-3637	152	17	empirical	empirical	ADJ
cana-3637	152	18	analysis	analysis	NOUN
cana-3637	152	19	of	of	ADP
cana-3637	152	20	the	the	DET
cana-3637	152	21	gradient	gradient	NOUN
cana-3637	152	22	of	of	ADP
cana-3637	152	23	ljoint	ljoint	NOUN
cana-3637	152	24	with	with	ADP
cana-3637	152	25	respect	respect	NOUN
cana-3637	152	26	to	to	ADP
cana-3637	152	27	each	each	PRON
cana-3637	152	28	embedding	embed	VERB
cana-3637	152	29	dimension	dimension	NOUN
cana-3637	152	30	zj	zj	PROPN
cana-3637	152	31	via	via	ADP
cana-3637	152	32	equation	equation	NOUN
cana-3637	152	33	7	7	NUM
cana-3637	152	34	,	,	PUNCT
cana-3637	152	35	this	this	DET
cana-3637	152	36	gradient	gradient	ADJ
cana-3637	152	37	analysis	analysis	NOUN
cana-3637	152	38	indicates	indicate	VERB
cana-3637	152	39	that	that	SCONJ
cana-3637	152	40	it	it	PRON
cana-3637	152	41	ensures	ensure	VERB
cana-3637	152	42	that	that	SCONJ
cana-3637	152	43	the	the	DET
cana-3637	152	44	sequential	sequential	ADJ
cana-3637	152	45	dependencies	dependency	NOUN
cana-3637	152	46	of	of	ADP
cana-3637	152	47	cpc	cpc	PROPN
cana-3637	152	48	,	,	PUNCT
cana-3637	152	49	the	the	DET
cana-3637	152	50	adaptability	adaptability	NOUN
cana-3637	152	51	of	of	ADP
cana-3637	152	52	maml	maml	NOUN
cana-3637	152	53	,	,	PUNCT
cana-3637	152	54	and	and	CCONJ
cana-3637	152	55	the	the	DET
cana-3637	152	56	interpretability	interpretability	NOUN
cana-3637	152	57	of	of	ADP
cana-3637	152	58	shap	shap	PROPN
cana-3637	152	59	are	be	AUX
cana-3637	152	60	all	all	PRON
cana-3637	152	61	optimized	optimize	VERB
cana-3637	152	62	consistently	consistently	ADV
cana-3637	152	63	in	in	ADP
cana-3637	152	64	the	the	DET
cana-3637	152	65	process	process	NOUN
cana-3637	152	66	.	.	PUNCT
cana-3637	153	1	it	it	PRON
cana-3637	153	2	also	also	ADV
cana-3637	153	3	presents	present	VERB
cana-3637	153	4	the	the	DET
cana-3637	153	5	expected	expect	VERB
cana-3637	153	6	cumulative	cumulative	ADJ
cana-3637	153	7	mutual	mutual	ADJ
cana-3637	153	8	information	information	NOUN
cana-3637	153	9	e[i(ct;z(t+k	e[i(ct;z(t+k	VERB
cana-3637	153	10	)	)	PUNCT
cana-3637	153	11	)	)	PUNCT
cana-3637	153	12	]	]	PUNCT
cana-3637	153	13	for	for	ADP
cana-3637	153	14	cpc	cpc	PROPN
cana-3637	153	15	given	give	VERB
cana-3637	153	16	via	via	ADP
cana-3637	153	17	equation	equation	NOUN
cana-3637	153	18	8	8	NUM
cana-3637	153	19	,	,	PUNCT
cana-3637	153	20	that	that	PRON
cana-3637	153	21	is	be	AUX
cana-3637	153	22	maximized	maximize	VERB
cana-3637	153	23	to	to	PART
cana-3637	153	24	guarantee	guarantee	VERB
cana-3637	153	25	that	that	SCONJ
cana-3637	153	26	the	the	DET
cana-3637	153	27	embeddings	embedding	NOUN
cana-3637	153	28	retain	retain	VERB
cana-3637	153	29	their	their	PRON
cana-3637	153	30	temporal	temporal	ADJ
cana-3637	153	31	coherence	coherence	NOUN
cana-3637	153	32	in	in	ADP
cana-3637	153	33	capturing	capture	VERB
cana-3637	153	34	the	the	DET
cana-3637	153	35	complex	complex	ADJ
cana-3637	153	36	dependency	dependency	NOUN
cana-3637	153	37	of	of	ADP
cana-3637	153	38	mobile	mobile	ADJ
cana-3637	153	39	data	datum	NOUN
cana-3637	153	40	sequences	sequence	NOUN
cana-3637	153	41	.	.	PUNCT
cana-3637	154	1	the	the	DET
cana-3637	154	2	proposed	propose	VERB
cana-3637	154	3	framework	framework	NOUN
cana-3637	154	4	will	will	AUX
cana-3637	154	5	,	,	PUNCT
cana-3637	154	6	therefore	therefore	ADV
cana-3637	154	7	,	,	PUNCT
cana-3637	154	8	integrate	integrate	VERB
cana-3637	154	9	all	all	PRON
cana-3637	154	10	of	of	ADP
cana-3637	154	11	these	these	DET
cana-3637	154	12	advanced	advanced	ADJ
cana-3637	154	13	techniques	technique	NOUN
cana-3637	154	14	into	into	ADP
cana-3637	154	15	the	the	DET
cana-3637	154	16	provision	provision	NOUN
cana-3637	154	17	of	of	ADP
cana-3637	154	18	a	a	DET
cana-3637	154	19	holistic	holistic	ADJ
cana-3637	154	20	mobile	mobile	ADJ
cana-3637	154	21	forensic	forensic	ADJ
cana-3637	154	22	analysis	analysis	NOUN
cana-3637	154	23	approach	approach	NOUN
cana-3637	154	24	that	that	PRON
cana-3637	154	25	helps	helps	AUX
cana-3637	154	26	overcome	overcome	VERB
cana-3637	154	27	core	core	NOUN
cana-3637	154	28	challenges	challenge	NOUN
cana-3637	154	29	relating	relate	VERB
cana-3637	154	30	to	to	ADP
cana-3637	154	31	representation	representation	NOUN
cana-3637	154	32	quality	quality	NOUN
cana-3637	154	33	,	,	PUNCT
cana-3637	154	34	adaptability	adaptability	NOUN
cana-3637	154	35	,	,	PUNCT
cana-3637	154	36	and	and	CCONJ
cana-3637	154	37	transparency	transparency	NOUN
cana-3637	154	38	.	.	PUNCT
cana-3637	155	1	by	by	ADP
cana-3637	155	2	combining	combine	VERB
cana-3637	155	3	cpc	cpc	PROPN
cana-3637	155	4	,	,	PUNCT
cana-3637	155	5	maml	maml	ADJ
cana-3637	155	6	,	,	PUNCT
cana-3637	155	7	and	and	CCONJ
cana-3637	155	8	shap	shap	NOUN
cana-3637	155	9	,	,	PUNCT
cana-3637	155	10	it	it	PRON
cana-3637	155	11	is	be	AUX
cana-3637	155	12	possible	possible	ADJ
cana-3637	155	13	to	to	PART
cana-3637	155	14	provide	provide	VERB
cana-3637	155	15	a	a	DET
cana-3637	155	16	highly	highly	ADV
cana-3637	155	17	adaptable	adaptable	ADJ
cana-3637	155	18	model	model	NOUN
cana-3637	155	19	for	for	ADP
cana-3637	155	20	the	the	DET
cana-3637	155	21	output	output	NOUN
cana-3637	155	22	of	of	ADP
cana-3637	155	23	accurate	accurate	ADJ
cana-3637	155	24	,	,	PUNCT
cana-3637	155	25	explainable	explainable	ADJ
cana-3637	155	26	forensic	forensic	ADJ
cana-3637	155	27	results	result	NOUN
cana-3637	155	28	.	.	PUNCT
cana-3637	156	1	this	this	PRON
cana-3637	156	2	is	be	AUX
cana-3637	156	3	especially	especially	ADV
cana-3637	156	4	relevant	relevant	ADJ
cana-3637	156	5	concerning	concern	VERB
cana-3637	156	6	dynamic	dynamic	ADJ
cana-3637	156	7	communications	communication	NOUN
cana-3637	156	8	on	on	ADP
cana-3637	156	9	applied	apply	VERB
cana-3637	156	10	nonlinear	nonlinear	ADJ
cana-3637	156	11	analysis	analysis	NOUN
cana-3637	156	12	issn	issn	NOUN
cana-3637	156	13	:	:	PUNCT
cana-3637	156	14	1074	1074	NUM
cana-3637	156	15	-	-	PUNCT
cana-3637	156	16	133x	133x	NUM
cana-3637	156	17	vol	vol	NOUN
cana-3637	156	18	32	32	NUM
cana-3637	156	19	no	no	NOUN
cana-3637	156	20	.	.	PUNCT
cana-3637	157	1	8s	8s	PROPN
cana-3637	157	2	(	(	PUNCT
cana-3637	157	3	2025	2025	NUM
cana-3637	157	4	)	)	PUNCT
cana-3637	157	5	223	223	NUM
cana-3637	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	157	7	complexities	complexity	NOUN
cana-3637	157	8	within	within	ADP
cana-3637	157	9	mobile	mobile	ADJ
cana-3637	157	10	data	datum	NOUN
cana-3637	157	11	patterns	pattern	NOUN
cana-3637	157	12	.	.	PUNCT
cana-3637	158	1	finally	finally	ADV
cana-3637	158	2	,	,	PUNCT
cana-3637	158	3	simulation	simulation	NOUN
cana-3637	158	4	results	result	NOUN
cana-3637	158	5	of	of	ADP
cana-3637	158	6	the	the	DET
cana-3637	158	7	proposed	propose	VERB
cana-3637	158	8	scheme	scheme	NOUN
cana-3637	158	9	in	in	ADP
cana-3637	158	10	several	several	ADJ
cana-3637	158	11	metrics	metric	NOUN
cana-3637	158	12	are	be	AUX
cana-3637	158	13	presented	present	VERB
cana-3637	158	14	and	and	CCONJ
cana-3637	158	15	compared	compare	VERB
cana-3637	158	16	with	with	ADP
cana-3637	158	17	existing	exist	VERB
cana-3637	158	18	approaches	approach	NOUN
cana-3637	158	19	under	under	ADP
cana-3637	158	20	different	different	ADJ
cana-3637	158	21	configurations	configuration	NOUN
cana-3637	158	22	.	.	PUNCT
cana-3637	159	1	4	4	X
cana-3637	159	2	.	.	NOUN
cana-3637	159	3	result	result	VERB
cana-3637	159	4	analysis	analysis	NOUN
cana-3637	159	5	the	the	DET
cana-3637	159	6	setup	setup	NOUN
cana-3637	159	7	is	be	AUX
cana-3637	159	8	designed	design	VERB
cana-3637	159	9	such	such	ADJ
cana-3637	159	10	that	that	SCONJ
cana-3637	159	11	it	it	PRON
cana-3637	159	12	should	should	AUX
cana-3637	159	13	train	train	VERB
cana-3637	159	14	and	and	CCONJ
cana-3637	159	15	test	test	VERB
cana-3637	159	16	the	the	DET
cana-3637	159	17	developed	develop	VERB
cana-3637	159	18	framework	framework	NOUN
cana-3637	159	19	on	on	ADP
cana-3637	159	20	a	a	DET
cana-3637	159	21	set	set	NOUN
cana-3637	159	22	of	of	ADP
cana-3637	159	23	disparate	disparate	ADJ
cana-3637	159	24	mobile	mobile	ADJ
cana-3637	159	25	forensic	forensic	ADJ
cana-3637	159	26	datasets	dataset	NOUN
cana-3637	159	27	,	,	PUNCT
cana-3637	159	28	well	well	ADV
cana-3637	159	29	designed	design	VERB
cana-3637	159	30	to	to	PART
cana-3637	159	31	capture	capture	VERB
cana-3637	159	32	common	common	ADJ
cana-3637	159	33	temporal	temporal	ADJ
cana-3637	159	34	activity	activity	NOUN
cana-3637	159	35	patterns	pattern	NOUN
cana-3637	159	36	.	.	PUNCT
cana-3637	160	1	these	these	DET
cana-3637	160	2	disparate	disparate	ADJ
cana-3637	160	3	data	datum	NOUN
cana-3637	160	4	sets	set	NOUN
cana-3637	160	5	consist	consist	VERB
cana-3637	160	6	of	of	ADP
cana-3637	160	7	called	call	VERB
cana-3637	160	8	-	-	PUNCT
cana-3637	160	9	logs	log	NOUN
cana-3637	160	10	,	,	PUNCT
cana-3637	160	11	sms	sms	NOUN
cana-3637	160	12	sequences	sequence	NOUN
cana-3637	160	13	,	,	PUNCT
cana-3637	160	14	location	location	NOUN
cana-3637	160	15	records	record	NOUN
cana-3637	160	16	obtained	obtain	VERB
cana-3637	160	17	from	from	ADP
cana-3637	160	18	a	a	DET
cana-3637	160	19	global	global	ADJ
cana-3637	160	20	position	position	NOUN
cana-3637	160	21	device	device	NOUN
cana-3637	160	22	,	,	PUNCT
cana-3637	160	23	and	and	CCONJ
cana-3637	160	24	application	application	NOUN
cana-3637	160	25	-	-	PUNCT
cana-3637	160	26	usage	usage	NOUN
cana-3637	160	27	logs	log	NOUN
cana-3637	160	28	that	that	PRON
cana-3637	160	29	reflect	reflect	VERB
cana-3637	160	30	typical	typical	ADJ
cana-3637	160	31	and	and	CCONJ
cana-3637	160	32	time	time	NOUN
cana-3637	160	33	-	-	PUNCT
cana-3637	160	34	based	base	VERB
cana-3637	160	35	user	user	NOUN
cana-3637	160	36	behavior	behavior	NOUN
cana-3637	160	37	on	on	ADP
cana-3637	160	38	any	any	DET
cana-3637	160	39	given	give	VERB
cana-3637	160	40	platform	platform	NOUN
cana-3637	160	41	,	,	PUNCT
cana-3637	160	42	an	an	DET
cana-3637	160	43	attribute	attribute	NOUN
cana-3637	160	44	commonly	commonly	ADV
cana-3637	160	45	analyzed	analyze	VERB
cana-3637	160	46	in	in	ADP
cana-3637	160	47	investigations	investigation	NOUN
cana-3637	160	48	over	over	ADP
cana-3637	160	49	forensic	forensic	ADJ
cana-3637	160	50	platforms	platform	NOUN
cana-3637	160	51	.	.	PUNCT
cana-3637	161	1	datasets	dataset	NOUN
cana-3637	161	2	are	be	AUX
cana-3637	161	3	preprocessed	preprocesse	VERB
cana-3637	161	4	for	for	ADP
cana-3637	161	5	uniformity	uniformity	NOUN
cana-3637	161	6	in	in	ADP
cana-3637	161	7	data	datum	NOUN
cana-3637	161	8	types	type	NOUN
cana-3637	161	9	;	;	PUNCT
cana-3637	161	10	a	a	DET
cana-3637	161	11	preprocessing	preprocessing	NOUN
cana-3637	161	12	unit	unit	NOUN
cana-3637	161	13	is	be	AUX
cana-3637	161	14	applied	apply	VERB
cana-3637	161	15	to	to	PART
cana-3637	161	16	standardize	standardize	VERB
cana-3637	161	17	time	time	NOUN
cana-3637	161	18	intervals	interval	NOUN
cana-3637	161	19	,	,	PUNCT
cana-3637	161	20	filter	filter	VERB
cana-3637	161	21	out	out	ADP
cana-3637	161	22	noise	noise	NOUN
cana-3637	161	23	,	,	PUNCT
cana-3637	161	24	and	and	CCONJ
cana-3637	161	25	handle	handle	VERB
cana-3637	161	26	missing	miss	VERB
cana-3637	161	27	values	value	NOUN
cana-3637	161	28	.	.	PUNCT
cana-3637	162	1	a	a	DET
cana-3637	162	2	sample	sample	NOUN
cana-3637	162	3	dataset	dataset	NOUN
cana-3637	162	4	comprises	comprise	NOUN
cana-3637	162	5	over	over	ADP
cana-3637	162	6	50,000	50,000	NUM
cana-3637	162	7	data	datum	NOUN
cana-3637	162	8	points	point	NOUN
cana-3637	162	9	divided	divide	VERB
cana-3637	162	10	into	into	ADP
cana-3637	162	11	sequences	sequence	NOUN
cana-3637	162	12	of	of	ADP
cana-3637	162	13	10	10	NUM
cana-3637	162	14	to	to	PART
cana-3637	162	15	100	100	NUM
cana-3637	162	16	events	event	NOUN
cana-3637	162	17	that	that	PRON
cana-3637	162	18	effectively	effectively	ADV
cana-3637	162	19	represent	represent	VERB
cana-3637	162	20	the	the	DET
cana-3637	162	21	daily	daily	ADJ
cana-3637	162	22	and	and	CCONJ
cana-3637	162	23	weekly	weekly	ADJ
cana-3637	162	24	patterns	pattern	NOUN
cana-3637	162	25	of	of	ADP
cana-3637	162	26	mobile	mobile	ADJ
cana-3637	162	27	usage	usage	NOUN
cana-3637	162	28	.	.	PUNCT
cana-3637	163	1	for	for	ADP
cana-3637	163	2	instance	instance	NOUN
cana-3637	163	3	,	,	PUNCT
cana-3637	163	4	in	in	ADP
cana-3637	163	5	every	every	DET
cana-3637	163	6	entry	entry	NOUN
cana-3637	163	7	of	of	ADP
cana-3637	163	8	the	the	DET
cana-3637	163	9	call	call	NOUN
cana-3637	163	10	log	log	NOUN
cana-3637	163	11	data	datum	NOUN
cana-3637	163	12	set	set	NOUN
cana-3637	163	13	,	,	PUNCT
cana-3637	163	14	the	the	DET
cana-3637	163	15	following	following	NOUN
cana-3637	163	16	are	be	AUX
cana-3637	163	17	found	find	VERB
cana-3637	163	18	:	:	PUNCT
cana-3637	163	19	timestamp	timestamp	NOUN
cana-3637	163	20	,	,	PUNCT
cana-3637	163	21	the	the	DET
cana-3637	163	22	length	length	NOUN
cana-3637	163	23	of	of	ADP
cana-3637	163	24	the	the	DET
cana-3637	163	25	call	call	NOUN
cana-3637	163	26	,	,	PUNCT
cana-3637	163	27	and	and	CCONJ
cana-3637	163	28	caller	caller	NOUN
cana-3637	163	29	i	i	PROPN
cana-3637	163	30	d	d	PROPN
cana-3637	163	31	,	,	PUNCT
cana-3637	163	32	but	but	CCONJ
cana-3637	163	33	in	in	ADP
cana-3637	163	34	text	text	NOUN
cana-3637	163	35	-	-	PUNCT
cana-3637	163	36	based	base	VERB
cana-3637	163	37	metadata	metadata	NOUN
cana-3637	163	38	that	that	PRON
cana-3637	163	39	comes	come	VERB
cana-3637	163	40	in	in	ADP
cana-3637	163	41	a	a	DET
cana-3637	163	42	sequence	sequence	NOUN
cana-3637	163	43	such	such	ADJ
cana-3637	163	44	as	as	ADP
cana-3637	163	45	:	:	PUNCT
cana-3637	163	46	sender	sender	NOUN
cana-3637	163	47	,	,	PUNCT
cana-3637	163	48	timestamp	timestamp	NOUN
cana-3637	163	49	,	,	PUNCT
cana-3637	163	50	and	and	CCONJ
cana-3637	163	51	sentiment	sentiment	NOUN
cana-3637	163	52	score	score	NOUN
cana-3637	163	53	.	.	PUNCT
cana-3637	164	1	representing	represent	VERB
cana-3637	164	2	gps	gps	NOUN
cana-3637	164	3	location	location	NOUN
cana-3637	164	4	where	where	SCONJ
cana-3637	164	5	using	use	VERB
cana-3637	164	6	latitude	latitude	NOUN
cana-3637	164	7	,	,	PUNCT
cana-3637	164	8	longitude	longitude	NOUN
cana-3637	164	9	and	and	CCONJ
cana-3637	164	10	also	also	ADV
cana-3637	164	11	a	a	DET
cana-3637	164	12	timestamp	timestamp	NOUN
cana-3637	164	13	,	,	PUNCT
cana-3637	164	14	permits	permit	VERB
cana-3637	164	15	users	user	NOUN
cana-3637	164	16	to	to	PART
cana-3637	164	17	identify	identify	VERB
cana-3637	164	18	patterns	pattern	NOUN
cana-3637	164	19	concerning	concern	VERB
cana-3637	164	20	their	their	PRON
cana-3637	164	21	movement	movement	NOUN
cana-3637	164	22	.	.	PUNCT
cana-3637	165	1	at	at	ADP
cana-3637	165	2	pre	pre	ADJ
cana-3637	165	3	-	-	ADJ
cana-3637	165	4	processing	processing	NOUN
cana-3637	165	5	,	,	PUNCT
cana-3637	165	6	the	the	DET
cana-3637	165	7	location	location	NOUN
cana-3637	165	8	information	information	NOUN
cana-3637	165	9	is	be	AUX
cana-3637	165	10	grouped	grouped	AUX
cana-3637	165	11	spatially	spatially	ADV
cana-3637	165	12	concerning	concern	VERB
cana-3637	165	13	the	the	DET
cana-3637	165	14	regions	region	NOUN
cana-3637	165	15	visited	visit	VERB
cana-3637	165	16	,	,	PUNCT
cana-3637	165	17	thus	thus	ADV
cana-3637	165	18	providing	provide	VERB
cana-3637	165	19	a	a	DET
cana-3637	165	20	contextual	contextual	ADJ
cana-3637	165	21	frequent	frequent	ADJ
cana-3637	165	22	location	location	NOUN
cana-3637	165	23	grouping	grouping	NOUN
cana-3637	165	24	.	.	PUNCT
cana-3637	166	1	in	in	ADP
cana-3637	166	2	setting	set	VERB
cana-3637	166	3	the	the	DET
cana-3637	166	4	parameters	parameter	NOUN
cana-3637	166	5	of	of	ADP
cana-3637	166	6	the	the	DET
cana-3637	166	7	cpc	cpc	PROPN
cana-3637	166	8	model	model	NOUN
cana-3637	166	9	to	to	PART
cana-3637	166	10	be	be	AUX
cana-3637	166	11	reproducible	reproducible	ADJ
cana-3637	166	12	,	,	PUNCT
cana-3637	166	13	a	a	DET
cana-3637	166	14	learning	learning	NOUN
cana-3637	166	15	rate	rate	NOUN
cana-3637	166	16	is	be	AUX
cana-3637	166	17	set	set	VERB
cana-3637	166	18	to	to	ADP
cana-3637	166	19	0.001	0.001	NUM
cana-3637	166	20	with	with	ADP
cana-3637	166	21	an	an	DET
cana-3637	166	22	embedding	embed	VERB
cana-3637	166	23	dimension	dimension	NOUN
cana-3637	166	24	of	of	ADP
cana-3637	166	25	256	256	NUM
cana-3637	166	26	and	and	CCONJ
cana-3637	166	27	batch	batch	VERB
cana-3637	166	28	size	size	NOUN
cana-3637	166	29	of	of	ADP
cana-3637	166	30	64	64	NUM
cana-3637	166	31	.	.	PUNCT
cana-3637	167	1	three	three	NUM
cana-3637	167	2	-	-	PUNCT
cana-3637	167	3	layered	layered	ADJ
cana-3637	167	4	encoder	encoder	NOUN
cana-3637	167	5	architecture	architecture	NOUN
cana-3637	167	6	consisting	consist	VERB
cana-3637	167	7	of	of	ADP
cana-3637	167	8	128	128	NUM
cana-3637	167	9	units	unit	NOUN
cana-3637	167	10	each	each	PRON
cana-3637	167	11	along	along	ADP
cana-3637	167	12	with	with	ADP
cana-3637	167	13	five	five	NUM
cana-3637	167	14	events	event	NOUN
cana-3637	167	15	context	context	NOUN
cana-3637	167	16	windows	window	NOUN
cana-3637	167	17	captures	capture	VERB
cana-3637	167	18	more	more	ADJ
cana-3637	167	19	than	than	ADP
cana-3637	167	20	enough	enough	ADJ
cana-3637	167	21	time	time	NOUN
cana-3637	167	22	context	context	NOUN
cana-3637	167	23	and	and	CCONJ
cana-3637	167	24	does	do	AUX
cana-3637	167	25	not	not	PART
cana-3637	167	26	involve	involve	VERB
cana-3637	167	27	excessive	excessive	ADJ
cana-3637	167	28	memory	memory	NOUN
cana-3637	167	29	usage	usage	NOUN
cana-3637	167	30	.	.	PUNCT
cana-3637	168	1	we	we	PRON
cana-3637	168	2	used	use	VERB
cana-3637	168	3	the	the	DET
cana-3637	168	4	reality	reality	NOUN
cana-3637	168	5	mining	mining	NOUN
cana-3637	168	6	dataset	dataset	NOUN
cana-3637	168	7	,	,	PUNCT
cana-3637	168	8	which	which	PRON
cana-3637	168	9	is	be	AUX
cana-3637	168	10	one	one	NUM
cana-3637	168	11	of	of	ADP
cana-3637	168	12	the	the	DET
cana-3637	168	13	popular	popular	ADJ
cana-3637	168	14	datasets	dataset	NOUN
cana-3637	168	15	gathered	gather	VERB
cana-3637	168	16	by	by	ADP
cana-3637	168	17	the	the	DET
cana-3637	168	18	mit	mit	PROPN
cana-3637	168	19	media	medium	NOUN
cana-3637	168	20	lab	lab	NOUN
cana-3637	168	21	.	.	PUNCT
cana-3637	169	1	the	the	DET
cana-3637	169	2	dataset	dataset	NOUN
cana-3637	169	3	is	be	AUX
cana-3637	169	4	generated	generate	VERB
cana-3637	169	5	from	from	ADP
cana-3637	169	6	very	very	ADV
cana-3637	169	7	rich	rich	ADJ
cana-3637	169	8	mobile	mobile	ADJ
cana-3637	169	9	data	datum	NOUN
cana-3637	169	10	records	record	NOUN
cana-3637	169	11	of	of	ADP
cana-3637	169	12	100	100	NUM
cana-3637	169	13	participants	participant	NOUN
cana-3637	169	14	over	over	ADP
cana-3637	169	15	nine	nine	NUM
cana-3637	169	16	months	month	NOUN
cana-3637	169	17	.	.	PUNCT
cana-3637	170	1	it	it	PRON
cana-3637	170	2	has	have	VERB
cana-3637	170	3	rich	rich	ADJ
cana-3637	170	4	contextual	contextual	ADJ
cana-3637	170	5	information	information	NOUN
cana-3637	170	6	necessary	necessary	ADJ
cana-3637	170	7	for	for	ADP
cana-3637	170	8	mobile	mobile	ADJ
cana-3637	170	9	forensic	forensic	ADJ
cana-3637	170	10	analysis	analysis	NOUN
cana-3637	170	11	,	,	PUNCT
cana-3637	170	12	including	include	VERB
cana-3637	170	13	call	call	NOUN
cana-3637	170	14	logs	log	NOUN
cana-3637	170	15	,	,	PUNCT
cana-3637	170	16	bluetooth	bluetooth	PROPN
cana-3637	170	17	proximity	proximity	NOUN
cana-3637	170	18	data	datum	NOUN
cana-3637	170	19	,	,	PUNCT
cana-3637	170	20	application	application	NOUN
cana-3637	170	21	usage	usage	NOUN
cana-3637	170	22	logs	log	NOUN
cana-3637	170	23	,	,	PUNCT
cana-3637	170	24	and	and	CCONJ
cana-3637	170	25	cell	cell	NOUN
cana-3637	170	26	tower	tower	NOUN
cana-3637	170	27	connection	connection	NOUN
cana-3637	170	28	-	-	PUNCT
cana-3637	170	29	based	base	VERB
cana-3637	170	30	location	location	NOUN
cana-3637	170	31	data	datum	NOUN
cana-3637	170	32	.	.	PUNCT
cana-3637	171	1	details	detail	NOUN
cana-3637	171	2	from	from	ADP
cana-3637	171	3	every	every	DET
cana-3637	171	4	record	record	NOUN
cana-3637	171	5	in	in	ADP
cana-3637	171	6	this	this	DET
cana-3637	171	7	dataset	dataset	NOUN
cana-3637	171	8	through	through	ADP
cana-3637	171	9	timestamps	timestamp	NOUN
cana-3637	171	10	of	of	ADP
cana-3637	171	11	events	event	NOUN
cana-3637	171	12	,	,	PUNCT
cana-3637	171	13	device	device	NOUN
cana-3637	171	14	identifiers	identifier	NOUN
cana-3637	171	15	,	,	PUNCT
cana-3637	171	16	duration	duration	NOUN
cana-3637	171	17	of	of	ADP
cana-3637	171	18	calls	call	NOUN
cana-3637	171	19	and	and	CCONJ
cana-3637	171	20	proximity	proximity	NOUN
cana-3637	171	21	with	with	ADP
cana-3637	171	22	other	other	ADJ
cana-3637	171	23	devices	device	NOUN
cana-3637	171	24	ensure	ensure	VERB
cana-3637	171	25	that	that	SCONJ
cana-3637	171	26	one	one	PRON
cana-3637	171	27	can	can	AUX
cana-3637	171	28	carry	carry	VERB
cana-3637	171	29	pretty	pretty	ADJ
cana-3637	171	30	suitable	suitable	ADJ
cana-3637	171	31	studies	study	NOUN
cana-3637	171	32	on	on	ADP
cana-3637	171	33	sequential	sequential	ADJ
cana-3637	171	34	or	or	CCONJ
cana-3637	171	35	temporal	temporal	ADJ
cana-3637	171	36	patterns	pattern	NOUN
cana-3637	171	37	of	of	ADP
cana-3637	171	38	data	datum	NOUN
cana-3637	171	39	.	.	PUNCT
cana-3637	172	1	analysis	analysis	NOUN
cana-3637	172	2	structured	structure	VERB
cana-3637	172	3	in	in	ADP
cana-3637	172	4	such	such	DET
cana-3637	172	5	a	a	DET
cana-3637	172	6	fashion	fashion	NOUN
cana-3637	172	7	is	be	AUX
cana-3637	172	8	indeed	indeed	ADV
cana-3637	172	9	capable	capable	ADJ
cana-3637	172	10	of	of	ADP
cana-3637	172	11	understanding	understand	VERB
cana-3637	172	12	individualized	individualized	ADJ
cana-3637	172	13	patterns	pattern	NOUN
cana-3637	172	14	of	of	ADP
cana-3637	172	15	behaviour	behaviour	NOUN
cana-3637	172	16	as	as	ADV
cana-3637	172	17	well	well	ADV
cana-3637	172	18	as	as	ADP
cana-3637	172	19	interaction	interaction	NOUN
cana-3637	172	20	-	-	PUNCT
cana-3637	172	21	related	relate	VERB
cana-3637	172	22	groups	group	NOUN
cana-3637	172	23	'	'	PART
cana-3637	172	24	behaviorreal	behaviorreal	NOUN
cana-3637	172	25	-life	-life	NOUN
cana-3637	172	26	application	application	NOUN
cana-3637	172	27	scenarios	scenario	NOUN
cana-3637	172	28	wherein	wherein	SCONJ
cana-3637	172	29	users	user	NOUN
cana-3637	172	30	'	'	PART
cana-3637	172	31	activity	activity	NOUN
cana-3637	172	32	,	,	PUNCT
cana-3637	172	33	locations	location	NOUN
cana-3637	172	34	,	,	PUNCT
cana-3637	172	35	as	as	ADV
cana-3637	172	36	well	well	ADV
cana-3637	172	37	as	as	ADP
cana-3637	172	38	social	social	ADJ
cana-3637	172	39	interactions	interaction	NOUN
cana-3637	172	40	can	can	AUX
cana-3637	172	41	be	be	AUX
cana-3637	172	42	followed	follow	VERB
cana-3637	172	43	or	or	CCONJ
cana-3637	172	44	analyzed	analyze	VERB
cana-3637	172	45	in	in	ADP
cana-3637	172	46	real	real	ADJ
cana-3637	172	47	life	life	NOUN
cana-3637	172	48	.	.	PUNCT
cana-3637	173	1	for	for	ADP
cana-3637	173	2	location	location	NOUN
cana-3637	173	3	data	datum	NOUN
cana-3637	173	4	,	,	PUNCT
cana-3637	173	5	cell	cell	NOUN
cana-3637	173	6	ids	id	NOUN
cana-3637	173	7	are	be	AUX
cana-3637	173	8	included	include	VERB
cana-3637	173	9	,	,	PUNCT
cana-3637	173	10	allowing	allow	VERB
cana-3637	173	11	geographic	geographic	ADJ
cana-3637	173	12	mapping	mapping	NOUN
cana-3637	173	13	of	of	ADP
cana-3637	173	14	these	these	PRON
cana-3637	173	15	and	and	CCONJ
cana-3637	173	16	can	can	AUX
cana-3637	173	17	be	be	AUX
cana-3637	173	18	used	use	VERB
cana-3637	173	19	to	to	PART
cana-3637	173	20	extract	extract	VERB
cana-3637	173	21	patterns	pattern	NOUN
cana-3637	173	22	for	for	ADP
cana-3637	173	23	mobility	mobility	NOUN
cana-3637	173	24	in	in	ADP
cana-3637	173	25	urban	urban	ADJ
cana-3637	173	26	spaces	space	NOUN
cana-3637	173	27	;	;	PUNCT
cana-3637	173	28	this	this	DET
cana-3637	173	29	dataset	dataset	NOUN
cana-3637	173	30	size	size	NOUN
cana-3637	173	31	and	and	CCONJ
cana-3637	173	32	granularity	granularity	NOUN
cana-3637	173	33	make	make	VERB
cana-3637	173	34	it	it	PRON
cana-3637	173	35	suitable	suitable	ADJ
cana-3637	173	36	for	for	ADP
cana-3637	173	37	self	self	NOUN
cana-3637	173	38	-	-	PUNCT
cana-3637	173	39	supervised	supervise	VERB
cana-3637	173	40	learning	learning	NOUN
cana-3637	173	41	of	of	ADP
cana-3637	173	42	contrastive	contrastive	ADJ
cana-3637	173	43	predictive	predictive	ADJ
cana-3637	173	44	coding	coding	NOUN
cana-3637	173	45	,	,	PUNCT
cana-3637	173	46	where	where	SCONJ
cana-3637	173	47	the	the	DET
cana-3637	173	48	temporal	temporal	ADJ
cana-3637	173	49	dependence	dependence	NOUN
cana-3637	173	50	on	on	ADP
cana-3637	173	51	mobile	mobile	ADJ
cana-3637	173	52	data	datum	NOUN
cana-3637	173	53	can	can	AUX
cana-3637	173	54	then	then	ADV
cana-3637	173	55	efficiently	efficiently	ADV
cana-3637	173	56	be	be	AUX
cana-3637	173	57	learned	learn	VERB
cana-3637	173	58	.	.	PUNCT
cana-3637	174	1	these	these	PRON
cana-3637	174	2	have	have	AUX
cana-3637	174	3	been	be	AUX
cana-3637	174	4	highly	highly	ADV
cana-3637	174	5	adopted	adopt	VERB
cana-3637	174	6	to	to	PART
cana-3637	174	7	utilize	utilize	VERB
cana-3637	174	8	datasets	dataset	NOUN
cana-3637	174	9	for	for	ADP
cana-3637	174	10	other	other	ADJ
cana-3637	174	11	studies	study	NOUN
cana-3637	174	12	that	that	PRON
cana-3637	174	13	deal	deal	VERB
cana-3637	174	14	with	with	ADP
cana-3637	174	15	the	the	DET
cana-3637	174	16	modeling	modeling	NOUN
cana-3637	174	17	of	of	ADP
cana-3637	174	18	users	user	NOUN
cana-3637	174	19	'	'	PART
cana-3637	174	20	behaviors	behavior	NOUN
cana-3637	174	21	;	;	PUNCT
cana-3637	174	22	in	in	ADP
cana-3637	174	23	essence	essence	NOUN
cana-3637	174	24	,	,	PUNCT
cana-3637	174	25	such	such	ADJ
cana-3637	174	26	datasets	dataset	NOUN
cana-3637	174	27	provide	provide	VERB
cana-3637	174	28	a	a	DET
cana-3637	174	29	benchmark	benchmark	NOUN
cana-3637	174	30	,	,	PUNCT
cana-3637	174	31	by	by	ADP
cana-3637	174	32	which	which	PRON
cana-3637	174	33	means	mean	VERB
cana-3637	174	34	the	the	DET
cana-3637	174	35	meta	meta	ADJ
cana-3637	174	36	-	-	PUNCT
cana-3637	174	37	learning	learn	VERB
cana-3637	174	38	methods	method	NOUN
cana-3637	174	39	adapted	adapt	VERB
cana-3637	174	40	and	and	CCONJ
cana-3637	174	41	forensic	forensic	ADJ
cana-3637	174	42	interpretations	interpretation	NOUN
cana-3637	174	43	obtained	obtain	VERB
cana-3637	174	44	using	use	VERB
cana-3637	174	45	shap	shap	NOUN
cana-3637	174	46	,	,	PUNCT
cana-3637	174	47	make	make	VERB
cana-3637	174	48	this	this	PRON
cana-3637	174	49	the	the	DET
cana-3637	174	50	most	most	ADV
cana-3637	174	51	suited	suited	ADJ
cana-3637	174	52	one	one	NUM
cana-3637	174	53	in	in	ADP
cana-3637	174	54	process	process	NOUN
cana-3637	174	55	.	.	PUNCT
cana-3637	175	1	communications	communication	NOUN
cana-3637	175	2	on	on	ADP
cana-3637	175	3	applied	apply	VERB
cana-3637	175	4	nonlinear	nonlinear	ADJ
cana-3637	175	5	analysis	analysis	NOUN
cana-3637	175	6	issn	issn	NOUN
cana-3637	175	7	:	:	PUNCT
cana-3637	175	8	1074	1074	NUM
cana-3637	175	9	-	-	PUNCT
cana-3637	175	10	133x	133x	NUM
cana-3637	175	11	vol	vol	NOUN
cana-3637	175	12	32	32	NUM
cana-3637	175	13	no	no	NOUN
cana-3637	175	14	.	.	PUNCT
cana-3637	176	1	8s	8s	PROPN
cana-3637	176	2	(	(	PUNCT
cana-3637	176	3	2025	2025	NUM
cana-3637	176	4	)	)	PUNCT
cana-3637	176	5	224	224	NUM
cana-3637	176	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	176	7	figure	figure	NOUN
cana-3637	176	8	3	3	NUM
cana-3637	176	9	.	.	PUNCT
cana-3637	176	10	f1	f1	NOUN
cana-3637	176	11	score	score	NOUN
cana-3637	176	12	for	for	ADP
cana-3637	176	13	feature	feature	NOUN
cana-3637	176	14	extraction	extraction	NOUN
cana-3637	176	15	process	process	NOUN
cana-3637	176	16	for	for	ADP
cana-3637	176	17	meta	meta	ADV
cana-3637	176	18	-	-	PUNCT
cana-3637	176	19	learning	learning	NOUN
cana-3637	176	20	,	,	PUNCT
cana-3637	176	21	maml	maml	PROPN
cana-3637	176	22	's	's	PART
cana-3637	176	23	initialization	initialization	NOUN
cana-3637	176	24	parameters	parameter	NOUN
cana-3637	176	25	are	be	AUX
cana-3637	176	26	fine	fine	ADV
cana-3637	176	27	-	-	PUNCT
cana-3637	176	28	tuned	tune	VERB
cana-3637	176	29	to	to	PART
cana-3637	176	30	adapt	adapt	VERB
cana-3637	176	31	rapidly	rapidly	ADV
cana-3637	176	32	over	over	ADP
cana-3637	176	33	tasks	task	NOUN
cana-3637	176	34	,	,	PUNCT
cana-3637	176	35	with	with	ADP
cana-3637	176	36	the	the	DET
cana-3637	176	37	meta	meta	ADJ
cana-3637	176	38	-	-	PUNCT
cana-3637	176	39	batch	batch	NOUN
cana-3637	176	40	size	size	NOUN
cana-3637	176	41	as	as	ADP
cana-3637	176	42	32	32	NUM
cana-3637	176	43	and	and	CCONJ
cana-3637	176	44	the	the	DET
cana-3637	176	45	rate	rate	NOUN
cana-3637	176	46	of	of	ADP
cana-3637	176	47	gradient	gradient	ADJ
cana-3637	176	48	update	update	NOUN
cana-3637	176	49	α=0.01	α=0.01	NOUN
cana-3637	176	50	in	in	ADP
cana-3637	176	51	process	process	NOUN
cana-3637	176	52	.	.	PUNCT
cana-3637	177	1	for	for	ADP
cana-3637	177	2	the	the	DET
cana-3637	177	3	purpose	purpose	NOUN
cana-3637	177	4	of	of	ADP
cana-3637	177	5	validating	validate	VERB
cana-3637	177	6	adaptation	adaptation	NOUN
cana-3637	177	7	efficiency	efficiency	NOUN
cana-3637	177	8	,	,	PUNCT
cana-3637	177	9	the	the	DET
cana-3637	177	10	specific	specific	ADJ
cana-3637	177	11	training	training	NOUN
cana-3637	177	12	over	over	ADP
cana-3637	177	13	new	new	ADJ
cana-3637	177	14	forensic	forensic	ADJ
cana-3637	177	15	cases	case	NOUN
cana-3637	177	16	is	be	AUX
cana-3637	177	17	conducted	conduct	VERB
cana-3637	177	18	for	for	ADP
cana-3637	177	19	five	five	NUM
cana-3637	177	20	gradient	gradient	ADJ
cana-3637	177	21	steps	step	NOUN
cana-3637	177	22	and	and	CCONJ
cana-3637	177	23	then	then	ADV
cana-3637	177	24	the	the	DET
cana-3637	177	25	convergence	convergence	NOUN
cana-3637	177	26	performance	performance	NOUN
cana-3637	177	27	is	be	AUX
cana-3637	177	28	checked	check	VERB
cana-3637	177	29	based	base	VERB
cana-3637	177	30	on	on	ADP
cana-3637	177	31	the	the	DET
cana-3637	177	32	number	number	NOUN
cana-3637	177	33	of	of	ADP
cana-3637	177	34	time	time	NOUN
cana-3637	177	35	steps	step	NOUN
cana-3637	177	36	required	require	VERB
cana-3637	177	37	in	in	ADP
cana-3637	177	38	achieving	achieve	VERB
cana-3637	177	39	a	a	DET
cana-3637	177	40	loss	loss	NOUN
cana-3637	177	41	threshold	threshold	NOUN
cana-3637	177	42	value	value	NOUN
cana-3637	177	43	of	of	ADP
cana-3637	177	44	0.02	0.02	NUM
cana-3637	177	45	.	.	PUNCT
cana-3637	178	1	to	to	PART
cana-3637	178	2	address	address	VERB
cana-3637	178	3	explainability	explainability	NOUN
cana-3637	178	4	,	,	PUNCT
cana-3637	178	5	shap	shap	PROPN
cana-3637	178	6	is	be	AUX
cana-3637	178	7	used	use	VERB
cana-3637	178	8	to	to	PART
cana-3637	178	9	produce	produce	VERB
cana-3637	178	10	feature	feature	NOUN
cana-3637	178	11	importance	importance	NOUN
cana-3637	178	12	scores	score	NOUN
cana-3637	178	13	for	for	ADP
cana-3637	178	14	model	model	NOUN
cana-3637	178	15	outputs	output	NOUN
cana-3637	178	16	.	.	PUNCT
cana-3637	179	1	shapley	shapley	ADJ
cana-3637	179	2	values	value	NOUN
cana-3637	179	3	are	be	AUX
cana-3637	179	4	used	use	VERB
cana-3637	179	5	in	in	ADP
cana-3637	179	6	order	order	NOUN
cana-3637	179	7	to	to	PART
cana-3637	179	8	evaluate	evaluate	VERB
cana-3637	179	9	each	each	DET
cana-3637	179	10	feature	feature	NOUN
cana-3637	179	11	in	in	ADP
cana-3637	179	12	a	a	DET
cana-3637	179	13	prediction	prediction	NOUN
cana-3637	179	14	in	in	ADP
cana-3637	179	15	order	order	NOUN
cana-3637	179	16	to	to	PART
cana-3637	179	17	quantify	quantify	VERB
cana-3637	179	18	its	its	PRON
cana-3637	179	19	influence	influence	NOUN
cana-3637	179	20	on	on	ADP
cana-3637	179	21	classifications	classification	NOUN
cana-3637	179	22	for	for	ADP
cana-3637	179	23	forensic	forensic	ADJ
cana-3637	179	24	tasks	task	NOUN
cana-3637	179	25	.	.	PUNCT
cana-3637	180	1	since	since	SCONJ
cana-3637	180	2	the	the	DET
cana-3637	180	3	shapley	shapley	NOUN
cana-3637	180	4	value	value	NOUN
cana-3637	180	5	calculations	calculation	NOUN
cana-3637	180	6	take	take	VERB
cana-3637	180	7	into	into	ADP
cana-3637	180	8	account	account	NOUN
cana-3637	180	9	subsets	subset	NOUN
cana-3637	180	10	of	of	ADP
cana-3637	180	11	up	up	ADP
cana-3637	180	12	to	to	PART
cana-3637	180	13	four	four	NUM
cana-3637	180	14	features	feature	NOUN
cana-3637	180	15	per	per	ADP
cana-3637	180	16	task	task	NOUN
cana-3637	180	17	,	,	PUNCT
cana-3637	180	18	it	it	PRON
cana-3637	180	19	's	be	AUX
cana-3637	180	20	computationally	computationally	ADV
cana-3637	180	21	efficient	efficient	ADJ
cana-3637	180	22	but	but	CCONJ
cana-3637	180	23	very	very	ADV
cana-3637	180	24	informative	informative	ADJ
cana-3637	180	25	.	.	PUNCT
cana-3637	181	1	metrics	metric	NOUN
cana-3637	181	2	for	for	ADP
cana-3637	181	3	model	model	NOUN
cana-3637	181	4	evaluation	evaluation	NOUN
cana-3637	181	5	,	,	PUNCT
cana-3637	181	6	such	such	ADJ
cana-3637	181	7	as	as	ADP
cana-3637	181	8	accuracy	accuracy	NOUN
cana-3637	181	9	,	,	PUNCT
cana-3637	181	10	f1score	f1score	NOUN
cana-3637	181	11	,	,	PUNCT
cana-3637	181	12	and	and	CCONJ
cana-3637	181	13	mse	mse	NOUN
cana-3637	181	14	,	,	PUNCT
cana-3637	181	15	are	be	AUX
cana-3637	181	16	used	use	VERB
cana-3637	181	17	to	to	PART
cana-3637	181	18	measure	measure	VERB
cana-3637	181	19	the	the	DET
cana-3637	181	20	quality	quality	NOUN
cana-3637	181	21	of	of	ADP
cana-3637	181	22	cpc	cpc	PROPN
cana-3637	181	23	embedding	embed	VERB
cana-3637	181	24	with	with	ADP
cana-3637	181	25	respect	respect	NOUN
cana-3637	181	26	to	to	ADP
cana-3637	181	27	temporal	temporal	ADJ
cana-3637	181	28	dependencies	dependency	NOUN
cana-3637	181	29	,	,	PUNCT
cana-3637	181	30	maml	maml	NOUN
cana-3637	181	31	's	's	PART
cana-3637	181	32	adaptability	adaptability	NOUN
cana-3637	181	33	,	,	PUNCT
cana-3637	181	34	and	and	CCONJ
cana-3637	181	35	shap	shap	NOUN
cana-3637	181	36	's	's	PART
cana-3637	181	37	interpretability	interpretability	NOUN
cana-3637	181	38	levels	level	NOUN
cana-3637	181	39	.	.	PUNCT
cana-3637	182	1	the	the	DET
cana-3637	182	2	experimental	experimental	ADJ
cana-3637	182	3	setup	setup	NOUN
cana-3637	182	4	also	also	ADV
cana-3637	182	5	contains	contain	VERB
cana-3637	182	6	ablation	ablation	NOUN
cana-3637	182	7	studies	study	NOUN
cana-3637	182	8	to	to	PART
cana-3637	182	9	isolate	isolate	VERB
cana-3637	182	10	the	the	DET
cana-3637	182	11	performance	performance	NOUN
cana-3637	182	12	of	of	ADP
cana-3637	182	13	each	each	DET
cana-3637	182	14	model	model	NOUN
cana-3637	182	15	component	component	NOUN
cana-3637	182	16	,	,	PUNCT
cana-3637	182	17	which	which	PRON
cana-3637	182	18	confirms	confirm	VERB
cana-3637	182	19	that	that	SCONJ
cana-3637	182	20	cpc	cpc	PROPN
cana-3637	182	21	improves	improve	VERB
cana-3637	182	22	feature	feature	NOUN
cana-3637	182	23	extraction	extraction	NOUN
cana-3637	182	24	quality	quality	NOUN
cana-3637	182	25	by	by	ADP
cana-3637	182	26	up	up	ADP
cana-3637	182	27	to	to	PART
cana-3637	182	28	10	10	NUM
cana-3637	182	29	%	%	NOUN
cana-3637	182	30	,	,	PUNCT
cana-3637	182	31	maml	maml	PROPN
cana-3637	182	32	shows	show	VERB
cana-3637	182	33	a	a	DET
cana-3637	182	34	20	20	NUM
cana-3637	182	35	-	-	SYM
cana-3637	182	36	25	25	NUM
cana-3637	182	37	%	%	NOUN
cana-3637	182	38	faster	fast	ADJ
cana-3637	182	39	convergence	convergence	NOUN
cana-3637	182	40	rate	rate	NOUN
cana-3637	182	41	,	,	PUNCT
cana-3637	182	42	and	and	CCONJ
cana-3637	182	43	shap	shap	PROPN
cana-3637	182	44	provides	provide	VERB
cana-3637	182	45	interpretable	interpretable	ADJ
cana-3637	182	46	outputs	output	NOUN
cana-3637	182	47	with	with	ADP
cana-3637	182	48	a	a	DET
cana-3637	182	49	90	90	NUM
cana-3637	182	50	%	%	NOUN
cana-3637	182	51	feature	feature	NOUN
cana-3637	182	52	traceability	traceability	NOUN
cana-3637	182	53	rate	rate	NOUN
cana-3637	182	54	.	.	PUNCT
cana-3637	183	1	the	the	DET
cana-3637	183	2	proposed	propose	VERB
cana-3637	183	3	model	model	NOUN
cana-3637	183	4	was	be	AUX
cana-3637	183	5	experimented	experiment	VERB
cana-3637	183	6	on	on	ADP
cana-3637	183	7	the	the	DET
cana-3637	183	8	reality	reality	NOUN
cana-3637	183	9	mining	mining	NOUN
cana-3637	183	10	dataset	dataset	VERB
cana-3637	183	11	to	to	PART
cana-3637	183	12	evaluate	evaluate	VERB
cana-3637	183	13	its	its	PRON
cana-3637	183	14	performance	performance	NOUN
cana-3637	183	15	with	with	ADP
cana-3637	183	16	respect	respect	NOUN
cana-3637	183	17	to	to	ADP
cana-3637	183	18	mobile	mobile	ADJ
cana-3637	183	19	forensic	forensic	ADJ
cana-3637	183	20	tasks	task	NOUN
cana-3637	183	21	such	such	ADJ
cana-3637	183	22	as	as	ADP
cana-3637	183	23	feature	feature	NOUN
cana-3637	183	24	extraction	extraction	NOUN
cana-3637	183	25	,	,	PUNCT
cana-3637	183	26	task	task	NOUN
cana-3637	183	27	adaptation	adaptation	NOUN
cana-3637	183	28	,	,	PUNCT
cana-3637	183	29	and	and	CCONJ
cana-3637	183	30	interpretability	interpretability	NOUN
cana-3637	183	31	,	,	PUNCT
cana-3637	183	32	comparing	compare	VERB
cana-3637	183	33	the	the	DET
cana-3637	183	34	result	result	NOUN
cana-3637	183	35	with	with	ADP
cana-3637	183	36	three	three	NUM
cana-3637	183	37	existing	exist	VERB
cana-3637	183	38	methods	method	NOUN
cana-3637	183	39	as	as	SCONJ
cana-3637	183	40	follows	follow	VERB
cana-3637	183	41	:	:	PUNCT
cana-3637	183	42	method	method	NOUN
cana-3637	183	43	[	[	X
cana-3637	183	44	5	5	NUM
cana-3637	183	45	]	]	PUNCT
cana-3637	183	46	,	,	PUNCT
cana-3637	183	47	method	method	NOUN
cana-3637	183	48	[	[	X
cana-3637	183	49	8	8	NUM
cana-3637	183	50	]	]	PUNCT
cana-3637	183	51	,	,	PUNCT
cana-3637	183	52	method	method	NOUN
cana-3637	183	53	[	[	X
cana-3637	183	54	18	18	NUM
cana-3637	183	55	]	]	PUNCT
cana-3637	183	56	.	.	PUNCT
cana-3637	184	1	experiment	experiment	NOUN
cana-3637	184	2	results	result	NOUN
cana-3637	184	3	.	.	PUNCT
cana-3637	185	1	the	the	DET
cana-3637	185	2	achieved	achieve	VERB
cana-3637	185	3	improvements	improvement	NOUN
cana-3637	185	4	in	in	ADP
cana-3637	185	5	feature	feature	NOUN
cana-3637	185	6	quality	quality	NOUN
cana-3637	185	7	,	,	PUNCT
cana-3637	185	8	adaptability	adaptability	NOUN
cana-3637	185	9	,	,	PUNCT
cana-3637	185	10	and	and	CCONJ
cana-3637	185	11	interpretability	interpretability	NOUN
cana-3637	185	12	clearly	clearly	ADV
cana-3637	185	13	demonstrate	demonstrate	VERB
cana-3637	185	14	benefits	benefit	NOUN
cana-3637	185	15	of	of	ADP
cana-3637	185	16	the	the	DET
cana-3637	185	17	proposed	propose	VERB
cana-3637	185	18	framework	framework	NOUN
cana-3637	185	19	over	over	ADP
cana-3637	185	20	all	all	DET
cana-3637	185	21	baselines	baseline	NOUN
cana-3637	185	22	considered	consider	VERB
cana-3637	185	23	on	on	ADP
cana-3637	185	24	the	the	DET
cana-3637	185	25	sequential	sequential	ADJ
cana-3637	185	26	mobile	mobile	ADJ
cana-3637	185	27	data	datum	NOUN
cana-3637	185	28	analysis	analysis	NOUN
cana-3637	185	29	scenario	scenario	NOUN
cana-3637	185	30	.	.	PUNCT
cana-3637	186	1	table	table	NOUN
cana-3637	186	2	2	2	NUM
cana-3637	186	3	:	:	PUNCT
cana-3637	186	4	f1	f1	NOUN
cana-3637	186	5	scores	score	NOUN
cana-3637	186	6	for	for	ADP
cana-3637	186	7	feature	feature	NOUN
cana-3637	186	8	extraction	extraction	NOUN
cana-3637	186	9	at	at	ADP
cana-3637	186	10	different	different	ADJ
cana-3637	186	11	time	time	NOUN
cana-3637	186	12	segments	segment	NOUN
cana-3637	186	13	for	for	ADP
cana-3637	186	14	call	call	NOUN
cana-3637	186	15	logs	log	NOUN
cana-3637	186	16	,	,	PUNCT
cana-3637	186	17	text	text	NOUN
cana-3637	186	18	message	message	NOUN
cana-3637	186	19	metadata	metadata	NOUN
cana-3637	186	20	and	and	CCONJ
cana-3637	186	21	gps	gp	VERB
cana-3637	186	22	location	location	NOUN
cana-3637	186	23	samples	sample	NOUN
cana-3637	186	24	.	.	PUNCT
cana-3637	187	1	the	the	DET
cana-3637	187	2	proposed	propose	VERB
cana-3637	187	3	model	model	NOUN
cana-3637	187	4	obtained	obtain	VERB
cana-3637	187	5	the	the	DET
cana-3637	187	6	top	top	ADJ
cana-3637	187	7	f1scores	f1score	NOUN
cana-3637	187	8	in	in	ADP
cana-3637	187	9	all	all	DET
cana-3637	187	10	data	datum	NOUN
cana-3637	187	11	types	type	NOUN
cana-3637	187	12	,	,	PUNCT
cana-3637	187	13	whereas	whereas	SCONJ
cana-3637	187	14	the	the	DET
cana-3637	187	15	most	most	ADV
cana-3637	187	16	prominent	prominent	ADJ
cana-3637	187	17	improvement	improvement	NOUN
cana-3637	187	18	arose	arise	VERB
cana-3637	187	19	in	in	ADP
cana-3637	187	20	gps	gps	PROPN
cana-3637	187	21	data	datum	NOUN
cana-3637	187	22	due	due	ADP
cana-3637	187	23	to	to	ADP
cana-3637	187	24	its	its	PRON
cana-3637	187	25	strong	strong	ADJ
cana-3637	187	26	ability	ability	NOUN
cana-3637	187	27	of	of	ADP
cana-3637	187	28	temporal	temporal	ADJ
cana-3637	187	29	encoding	encoding	NOUN
cana-3637	187	30	.	.	PUNCT
cana-3637	188	1	compared	compare	VERB
cana-3637	188	2	with	with	ADP
cana-3637	188	3	method	method	NOUN
cana-3637	188	4	[	[	X
cana-3637	188	5	5	5	NUM
cana-3637	188	6	]	]	PUNCT
cana-3637	188	7	and	and	CCONJ
cana-3637	188	8	method	method	NOUN
cana-3637	188	9	[	[	X
cana-3637	188	10	18	18	NUM
cana-3637	188	11	]	]	PUNCT
cana-3637	188	12	,	,	PUNCT
cana-3637	188	13	the	the	DET
cana-3637	188	14	model	model	NOUN
cana-3637	188	15	could	could	AUX
cana-3637	188	16	outperform	outperform	VERB
cana-3637	188	17	by	by	ADP
cana-3637	188	18	about	about	ADV
cana-3637	188	19	10	10	NUM
cana-3637	188	20	%	%	NOUN
cana-3637	188	21	in	in	ADP
cana-3637	188	22	f1	f1	NOUN
cana-3637	188	23	-	-	PUNCT
cana-3637	188	24	score	score	NOUN
cana-3637	188	25	,	,	PUNCT
cana-3637	188	26	while	while	SCONJ
cana-3637	188	27	method	method	NOUN
cana-3637	188	28	[	[	X
cana-3637	188	29	8	8	NUM
cana-3637	188	30	]	]	PUNCT
cana-3637	188	31	showed	show	VERB
cana-3637	188	32	competitive	competitive	ADJ
cana-3637	188	33	performance	performance	NOUN
cana-3637	188	34	but	but	CCONJ
cana-3637	188	35	with	with	ADP
cana-3637	188	36	a	a	DET
cana-3637	188	37	lag	lag	NOUN
cana-3637	188	38	of	of	ADP
cana-3637	188	39	6	6	NUM
cana-3637	188	40	%	%	NOUN
cana-3637	188	41	.	.	PUNCT
cana-3637	189	1	communications	communication	NOUN
cana-3637	189	2	on	on	ADP
cana-3637	189	3	applied	apply	VERB
cana-3637	189	4	nonlinear	nonlinear	ADJ
cana-3637	189	5	analysis	analysis	NOUN
cana-3637	189	6	issn	issn	NOUN
cana-3637	189	7	:	:	PUNCT
cana-3637	189	8	1074	1074	NUM
cana-3637	189	9	-	-	PUNCT
cana-3637	189	10	133x	133x	NUM
cana-3637	189	11	vol	vol	NOUN
cana-3637	189	12	32	32	NUM
cana-3637	189	13	no	no	NOUN
cana-3637	189	14	.	.	PUNCT
cana-3637	190	1	8s	8s	PROPN
cana-3637	190	2	(	(	PUNCT
cana-3637	190	3	2025	2025	NUM
cana-3637	190	4	)	)	PUNCT
cana-3637	190	5	225	225	NUM
cana-3637	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	190	7	figure	figure	NOUN
cana-3637	190	8	4	4	NUM
cana-3637	190	9	.	.	PUNCT
cana-3637	190	10	adaptation	adaptation	NOUN
cana-3637	190	11	speed	speed	NOUN
cana-3637	190	12	levels	level	NOUN
cana-3637	190	13	table	table	VERB
cana-3637	190	14	2	2	NUM
cana-3637	190	15	:	:	PUNCT
cana-3637	190	16	feature	feature	NOUN
cana-3637	190	17	extraction	extraction	NOUN
cana-3637	190	18	quality	quality	NOUN
cana-3637	190	19	(	(	PUNCT
cana-3637	190	20	f1	f1	NOUN
cana-3637	190	21	-	-	PUNCT
cana-3637	190	22	score	score	NOUN
cana-3637	190	23	)	)	PUNCT
cana-3637	190	24	data	datum	NOUN
cana-3637	190	25	type	type	NOUN
cana-3637	190	26	proposed	propose	VERB
cana-3637	190	27	model	model	NOUN
cana-3637	190	28	method	method	NOUN
cana-3637	190	29	[	[	X
cana-3637	190	30	5	5	NUM
cana-3637	190	31	]	]	X
cana-3637	190	32	method	method	NOUN
cana-3637	190	33	[	[	X
cana-3637	190	34	8	8	NUM
cana-3637	190	35	]	]	X
cana-3637	190	36	method	method	NOUN
cana-3637	190	37	[	[	X
cana-3637	190	38	18	18	NUM
cana-3637	190	39	]	]	PUNCT
cana-3637	190	40	call	call	NOUN
cana-3637	190	41	logs	log	NOUN
cana-3637	190	42	0.89	0.89	NUM
cana-3637	190	43	0.78	0.78	NUM
cana-3637	190	44	0.82	0.82	NUM
cana-3637	190	45	0.76	0.76	NUM
cana-3637	190	46	text	text	NOUN
cana-3637	190	47	messages	message	NOUN
cana-3637	190	48	0.91	0.91	NUM
cana-3637	190	49	0.80	0.80	NUM
cana-3637	190	50	0.85	0.85	NUM
cana-3637	190	51	0.79	0.79	NUM
cana-3637	190	52	gps	gps	PROPN
cana-3637	190	53	data	datum	NOUN
cana-3637	190	54	0.87	0.87	NUM
cana-3637	190	55	0.75	0.75	NUM
cana-3637	190	56	0.81	0.81	NUM
cana-3637	190	57	0.73	0.73	NUM
cana-3637	190	58	table	table	NOUN
cana-3637	190	59	3	3	NUM
cana-3637	190	60	demonstrates	demonstrate	VERB
cana-3637	190	61	a	a	DET
cana-3637	190	62	comparison	comparison	NOUN
cana-3637	190	63	of	of	ADP
cana-3637	190	64	adaptation	adaptation	NOUN
cana-3637	190	65	times	time	NOUN
cana-3637	190	66	between	between	ADP
cana-3637	190	67	each	each	DET
cana-3637	190	68	method	method	NOUN
cana-3637	190	69	and	and	CCONJ
cana-3637	190	70	approaches	approach	NOUN
cana-3637	190	71	towards	towards	ADP
cana-3637	190	72	adapting	adapt	VERB
cana-3637	190	73	to	to	ADP
cana-3637	190	74	new	new	ADJ
cana-3637	190	75	forensic	forensic	ADJ
cana-3637	190	76	tasks	task	NOUN
cana-3637	190	77	for	for	ADP
cana-3637	190	78	the	the	DET
cana-3637	190	79	proposed	propose	VERB
cana-3637	190	80	model	model	NOUN
cana-3637	190	81	to	to	PART
cana-3637	190	82	utilize	utilize	VERB
cana-3637	190	83	few	few	ADJ
cana-3637	190	84	-	-	PUNCT
cana-3637	190	85	shot	shot	NOUN
cana-3637	190	86	learning	learning	NOUN
cana-3637	190	87	.	.	PUNCT
cana-3637	191	1	by	by	ADP
cana-3637	191	2	adopting	adopt	VERB
cana-3637	191	3	the	the	DET
cana-3637	191	4	proposed	propose	VERB
cana-3637	191	5	maml	maml	NOUN
cana-3637	191	6	model	model	NOUN
cana-3637	191	7	,	,	PUNCT
cana-3637	191	8	faster	fast	ADJ
cana-3637	191	9	convergence	convergence	NOUN
cana-3637	191	10	could	could	AUX
cana-3637	191	11	be	be	AUX
cana-3637	191	12	attained	attain	VERB
cana-3637	191	13	in	in	ADP
cana-3637	191	14	both	both	DET
cana-3637	191	15	cases	case	NOUN
cana-3637	191	16	compared	compare	VERB
cana-3637	191	17	to	to	ADP
cana-3637	191	18	the	the	DET
cana-3637	191	19	baseline	baseline	NOUN
cana-3637	191	20	method	method	NOUN
cana-3637	191	21	,	,	PUNCT
cana-3637	191	22	but	but	CCONJ
cana-3637	191	23	with	with	ADP
cana-3637	191	24	high	high	ADJ
cana-3637	191	25	convergence	convergence	NOUN
cana-3637	191	26	rates	rate	NOUN
cana-3637	191	27	observed	observe	VERB
cana-3637	191	28	for	for	ADP
cana-3637	191	29	complex	complex	ADJ
cana-3637	191	30	location	location	NOUN
cana-3637	191	31	-	-	PUNCT
cana-3637	191	32	based	base	VERB
cana-3637	191	33	tasks	task	NOUN
cana-3637	191	34	.	.	PUNCT
cana-3637	192	1	methods	method	NOUN
cana-3637	192	2	[	[	X
cana-3637	192	3	5	5	NUM
cana-3637	192	4	]	]	PUNCT
cana-3637	192	5	and	and	CCONJ
cana-3637	192	6	[	[	X
cana-3637	192	7	18	18	NUM
cana-3637	192	8	]	]	PUNCT
cana-3637	192	9	had	have	VERB
cana-3637	192	10	significantly	significantly	ADV
cana-3637	192	11	very	very	ADV
cana-3637	192	12	slow	slow	ADJ
cana-3637	192	13	adaptation	adaptation	NOUN
cana-3637	192	14	times	time	NOUN
cana-3637	192	15	while	while	SCONJ
cana-3637	192	16	being	be	AUX
cana-3637	192	17	more	more	ADV
cana-3637	192	18	on	on	ADP
cana-3637	192	19	the	the	DET
cana-3637	192	20	side	side	NOUN
cana-3637	192	21	of	of	ADP
cana-3637	192	22	relatively	relatively	ADV
cana-3637	192	23	lower	low	ADJ
cana-3637	192	24	adaptability	adaptability	NOUN
cana-3637	192	25	;	;	PUNCT
cana-3637	192	26	and	and	CCONJ
cana-3637	192	27	method	method	NOUN
cana-3637	192	28	[	[	X
cana-3637	192	29	8	8	NUM
cana-3637	192	30	]	]	PUNCT
cana-3637	192	31	nearly	nearly	ADV
cana-3637	192	32	brought	bring	VERB
cana-3637	192	33	the	the	DET
cana-3637	192	34	result	result	NOUN
cana-3637	192	35	closer	close	ADV
cana-3637	192	36	than	than	ADP
cana-3637	192	37	average	average	ADJ
cana-3637	192	38	but	but	CCONJ
cana-3637	192	39	was	be	AUX
cana-3637	192	40	accompanied	accompany	VERB
cana-3637	192	41	by	by	ADP
cana-3637	192	42	extra	extra	ADJ
cana-3637	192	43	2	2	NUM
cana-3637	192	44	seconds	second	NOUN
cana-3637	192	45	in	in	ADP
cana-3637	192	46	that	that	DET
cana-3637	192	47	process	process	NOUN
cana-3637	192	48	.	.	PUNCT
cana-3637	193	1	communications	communication	NOUN
cana-3637	193	2	on	on	ADP
cana-3637	193	3	applied	apply	VERB
cana-3637	193	4	nonlinear	nonlinear	ADJ
cana-3637	193	5	analysis	analysis	NOUN
cana-3637	193	6	issn	issn	NOUN
cana-3637	193	7	:	:	PUNCT
cana-3637	193	8	1074	1074	NUM
cana-3637	193	9	-	-	PUNCT
cana-3637	193	10	133x	133x	NUM
cana-3637	193	11	vol	vol	NOUN
cana-3637	193	12	32	32	NUM
cana-3637	193	13	no	no	NOUN
cana-3637	193	14	.	.	PUNCT
cana-3637	194	1	8s	8s	PROPN
cana-3637	194	2	(	(	PUNCT
cana-3637	194	3	2025	2025	NUM
cana-3637	194	4	)	)	PUNCT
cana-3637	194	5	226	226	NUM
cana-3637	194	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	194	7	figure	figure	NOUN
cana-3637	194	8	5	5	NUM
cana-3637	194	9	.	.	PUNCT
cana-3637	194	10	embedding	embed	VERB
cana-3637	194	11	quality	quality	NOUN
cana-3637	194	12	levels	level	NOUN
cana-3637	194	13	table	table	VERB
cana-3637	194	14	3	3	NUM
cana-3637	194	15	:	:	PUNCT
cana-3637	194	16	adaptation	adaptation	NOUN
cana-3637	194	17	speed	speed	NOUN
cana-3637	194	18	(	(	PUNCT
cana-3637	194	19	convergence	convergence	NOUN
cana-3637	194	20	time	time	NOUN
cana-3637	194	21	in	in	ADP
cana-3637	194	22	seconds	second	NOUN
cana-3637	194	23	)	)	PUNCT
cana-3637	194	24	task	task	NOUN
cana-3637	194	25	type	type	NOUN
cana-3637	194	26	proposed	propose	VERB
cana-3637	194	27	model	model	NOUN
cana-3637	194	28	method	method	NOUN
cana-3637	194	29	[	[	X
cana-3637	194	30	5	5	NUM
cana-3637	194	31	]	]	X
cana-3637	194	32	method	method	NOUN
cana-3637	194	33	[	[	X
cana-3637	194	34	8	8	NUM
cana-3637	194	35	]	]	X
cana-3637	194	36	method	method	NOUN
cana-3637	194	37	[	[	X
cana-3637	194	38	18	18	NUM
cana-3637	194	39	]	]	PUNCT
cana-3637	194	40	call	call	NOUN
cana-3637	194	41	log	log	NOUN
cana-3637	194	42	classification	classification	NOUN
cana-3637	194	43	6	6	NUM
cana-3637	194	44	10	10	NUM
cana-3637	194	45	8	8	NUM
cana-3637	194	46	11	11	NUM
cana-3637	194	47	location	location	NOUN
cana-3637	194	48	clustering	cluster	VERB
cana-3637	194	49	7	7	NUM
cana-3637	194	50	12	12	NUM
cana-3637	194	51	9	9	NUM
cana-3637	194	52	13	13	NUM
cana-3637	194	53	anomaly	anomaly	NOUN
cana-3637	194	54	detection	detection	NOUN
cana-3637	194	55	5	5	NUM
cana-3637	194	56	9	9	NUM
cana-3637	194	57	7	7	NUM
cana-3637	194	58	10	10	NUM
cana-3637	194	59	table	table	NOUN
cana-3637	194	60	4	4	NUM
cana-3637	194	61	tabulates	tabulate	VERB
cana-3637	194	62	the	the	DET
cana-3637	194	63	mse	mse	NOUN
cana-3637	194	64	of	of	ADP
cana-3637	194	65	embeddings	embedding	NOUN
cana-3637	194	66	generated	generate	VERB
cana-3637	194	67	by	by	ADP
cana-3637	194	68	each	each	DET
cana-3637	194	69	model	model	NOUN
cana-3637	194	70	over	over	ADP
cana-3637	194	71	task	task	NOUN
cana-3637	194	72	-	-	PUNCT
cana-3637	194	73	specific	specific	ADJ
cana-3637	194	74	data	data	NOUN
cana-3637	194	75	samples	sample	NOUN
cana-3637	194	76	.	.	PUNCT
cana-3637	195	1	the	the	PRON
cana-3637	195	2	lower	low	ADJ
cana-3637	195	3	the	the	DET
cana-3637	195	4	mse	mse	NOUN
cana-3637	195	5	value	value	NOUN
cana-3637	195	6	,	,	PUNCT
cana-3637	195	7	the	the	PRON
cana-3637	195	8	higher	high	ADJ
cana-3637	195	9	the	the	DET
cana-3637	195	10	quality	quality	NOUN
cana-3637	195	11	of	of	ADP
cana-3637	195	12	the	the	DET
cana-3637	195	13	embedding	embedding	NOUN
cana-3637	195	14	that	that	PRON
cana-3637	195	15	picks	pick	VERB
cana-3637	195	16	up	up	ADP
cana-3637	195	17	the	the	DET
cana-3637	195	18	correct	correct	ADJ
cana-3637	195	19	information	information	NOUN
cana-3637	195	20	out	out	ADP
cana-3637	195	21	of	of	ADP
cana-3637	195	22	the	the	DET
cana-3637	195	23	dataset	dataset	NOUN
cana-3637	195	24	.	.	PUNCT
cana-3637	196	1	for	for	ADP
cana-3637	196	2	all	all	DET
cana-3637	196	3	experiments	experiment	NOUN
cana-3637	196	4	,	,	PUNCT
cana-3637	196	5	the	the	DET
cana-3637	196	6	mse	mse	NOUN
cana-3637	196	7	value	value	NOUN
cana-3637	196	8	for	for	ADP
cana-3637	196	9	the	the	DET
cana-3637	196	10	proposed	propose	VERB
cana-3637	196	11	model	model	NOUN
cana-3637	196	12	were	be	AUX
cana-3637	196	13	significantly	significantly	ADV
cana-3637	196	14	smaller	small	ADJ
cana-3637	196	15	compared	compare	VERB
cana-3637	196	16	to	to	ADP
cana-3637	196	17	others	other	NOUN
cana-3637	196	18	.	.	PUNCT
cana-3637	197	1	more	more	ADV
cana-3637	197	2	importantly	importantly	ADV
cana-3637	197	3	,	,	PUNCT
cana-3637	197	4	the	the	DET
cana-3637	197	5	performance	performance	NOUN
cana-3637	197	6	of	of	ADP
cana-3637	197	7	the	the	DET
cana-3637	197	8	model	model	NOUN
cana-3637	197	9	was	be	AUX
cana-3637	197	10	brilliant	brilliant	ADJ
cana-3637	197	11	for	for	ADP
cana-3637	197	12	the	the	DET
cana-3637	197	13	text	text	NOUN
cana-3637	197	14	message	message	NOUN
cana-3637	197	15	embedding	embed	VERB
cana-3637	197	16	with	with	ADP
cana-3637	197	17	an	an	DET
cana-3637	197	18	mse	mse	NOUN
cana-3637	197	19	value	value	NOUN
cana-3637	197	20	of	of	ADP
cana-3637	197	21	0.016	0.016	NUM
cana-3637	197	22	as	as	ADP
cana-3637	197	23	compared	compare	VERB
cana-3637	197	24	to	to	ADP
cana-3637	197	25	0.024	0.024	NUM
cana-3637	197	26	of	of	ADP
cana-3637	197	27	method	method	NOUN
cana-3637	197	28	[	[	X
cana-3637	197	29	5	5	NUM
cana-3637	197	30	]	]	PUNCT
cana-3637	197	31	.	.	PUNCT
cana-3637	198	1	this	this	PRON
cana-3637	198	2	showed	show	VERB
cana-3637	198	3	that	that	SCONJ
cana-3637	198	4	cpc	cpc	PROPN
cana-3637	198	5	efficiently	efficiently	ADV
cana-3637	198	6	learned	learn	VERB
cana-3637	198	7	good	good	ADJ
cana-3637	198	8	-	-	PUNCT
cana-3637	198	9	quality	quality	NOUN
cana-3637	198	10	representations	representation	NOUN
cana-3637	198	11	.	.	PUNCT
cana-3637	199	1	table	table	NOUN
cana-3637	199	2	4	4	NUM
cana-3637	199	3	:	:	PUNCT
cana-3637	199	4	embedding	embed	VERB
cana-3637	199	5	quality	quality	NOUN
cana-3637	199	6	(	(	PUNCT
cana-3637	199	7	mean	mean	INTJ
cana-3637	199	8	squared	square	VERB
cana-3637	199	9	error	error	NOUN
cana-3637	199	10	)	)	PUNCT
cana-3637	199	11	data	datum	NOUN
cana-3637	199	12	type	type	NOUN
cana-3637	199	13	proposed	propose	VERB
cana-3637	199	14	model	model	NOUN
cana-3637	199	15	method	method	NOUN
cana-3637	199	16	[	[	X
cana-3637	199	17	5	5	NUM
cana-3637	199	18	]	]	X
cana-3637	199	19	method	method	NOUN
cana-3637	199	20	[	[	X
cana-3637	199	21	8	8	NUM
cana-3637	199	22	]	]	X
cana-3637	199	23	method	method	NOUN
cana-3637	199	24	[	[	X
cana-3637	199	25	18	18	NUM
cana-3637	199	26	]	]	PUNCT
cana-3637	199	27	call	call	NOUN
cana-3637	199	28	logs	log	NOUN
cana-3637	199	29	0.018	0.018	NUM
cana-3637	199	30	0.026	0.026	NUM
cana-3637	199	31	0.022	0.022	NUM
cana-3637	199	32	0.027	0.027	NUM
cana-3637	199	33	text	text	NOUN
cana-3637	199	34	messages	message	NOUN
cana-3637	199	35	0.016	0.016	NUM
cana-3637	199	36	0.024	0.024	NUM
cana-3637	199	37	0.021	0.021	NUM
cana-3637	199	38	0.025	0.025	NUM
cana-3637	199	39	gps	gps	PROPN
cana-3637	199	40	data	datum	NOUN
cana-3637	199	41	0.017	0.017	NUM
cana-3637	199	42	0.025	0.025	NUM
cana-3637	199	43	0.020	0.020	NUM
cana-3637	199	44	0.028	0.028	NUM
cana-3637	199	45	table	table	NOUN
cana-3637	199	46	5	5	NUM
cana-3637	199	47	assesses	assess	VERB
cana-3637	199	48	the	the	DET
cana-3637	199	49	interpretability	interpretability	NOUN
cana-3637	199	50	,	,	PUNCT
cana-3637	199	51	calculated	calculate	VERB
cana-3637	199	52	on	on	ADP
cana-3637	199	53	the	the	DET
cana-3637	199	54	basis	basis	NOUN
cana-3637	199	55	of	of	ADP
cana-3637	199	56	assigning	assign	VERB
cana-3637	199	57	good	good	ADJ
cana-3637	199	58	feature	feature	NOUN
cana-3637	199	59	importance	importance	NOUN
cana-3637	199	60	to	to	ADP
cana-3637	199	61	predictions	prediction	NOUN
cana-3637	199	62	as	as	ADP
cana-3637	199	63	per	per	ADP
cana-3637	199	64	the	the	DET
cana-3637	199	65	model	model	NOUN
cana-3637	199	66	.	.	PUNCT
cana-3637	200	1	evaluating	evaluate	VERB
cana-3637	200	2	using	use	VERB
cana-3637	200	3	shap	shap	NOUN
cana-3637	200	4	,	,	PUNCT
cana-3637	200	5	a	a	DET
cana-3637	200	6	92	92	NUM
cana-3637	200	7	%	%	NOUN
cana-3637	200	8	rate	rate	NOUN
cana-3637	200	9	has	have	AUX
cana-3637	200	10	been	be	AUX
cana-3637	200	11	achieved	achieve	VERB
cana-3637	200	12	for	for	ADP
cana-3637	200	13	the	the	DET
cana-3637	200	14	proposed	propose	VERB
cana-3637	200	15	method	method	NOUN
cana-3637	200	16	,	,	PUNCT
cana-3637	200	17	which	which	PRON
cana-3637	200	18	is	be	AUX
cana-3637	200	19	very	very	ADV
cana-3637	200	20	good	good	ADJ
cana-3637	200	21	and	and	CCONJ
cana-3637	200	22	far	far	ADV
cana-3637	200	23	better	well	ADJ
cana-3637	200	24	than	than	ADP
cana-3637	200	25	other	other	ADJ
cana-3637	200	26	methods	method	NOUN
cana-3637	200	27	such	such	ADJ
cana-3637	200	28	as	as	ADP
cana-3637	200	29	method	method	NOUN
cana-3637	200	30	[	[	X
cana-3637	200	31	5	5	NUM
cana-3637	200	32	]	]	PUNCT
cana-3637	200	33	and	and	CCONJ
cana-3637	200	34	method	method	NOUN
cana-3637	200	35	[	[	X
cana-3637	200	36	18	18	NUM
cana-3637	200	37	]	]	PUNCT
cana-3637	200	38	,	,	PUNCT
cana-3637	200	39	which	which	PRON
cana-3637	200	40	had	have	VERB
cana-3637	200	41	some	some	DET
cana-3637	200	42	capabilities	capability	NOUN
cana-3637	200	43	of	of	ADP
cana-3637	200	44	feature	feature	NOUN
cana-3637	200	45	attribution	attribution	NOUN
cana-3637	200	46	but	but	CCONJ
cana-3637	200	47	still	still	ADV
cana-3637	200	48	can	can	AUX
cana-3637	200	49	not	not	PART
cana-3637	200	50	be	be	AUX
cana-3637	200	51	used	use	VERB
cana-3637	200	52	in	in	ADP
cana-3637	200	53	that	that	DET
cana-3637	200	54	feature	feature	NOUN
cana-3637	200	55	attribution	attribution	NOUN
cana-3637	200	56	scenario	scenario	NOUN
cana-3637	200	57	process	process	NOUN
cana-3637	200	58	.	.	PUNCT
cana-3637	201	1	for	for	ADP
cana-3637	201	2	comparison	comparison	NOUN
cana-3637	201	3	,	,	PUNCT
cana-3637	201	4	method	method	NOUN
cana-3637	201	5	[	[	X
cana-3637	201	6	8	8	NUM
cana-3637	201	7	]	]	PUNCT
cana-3637	201	8	had	have	VERB
cana-3637	201	9	an	an	DET
cana-3637	201	10	interpretability	interpretability	NOUN
cana-3637	201	11	score	score	NOUN
cana-3637	201	12	of	of	ADP
cana-3637	201	13	84	84	NUM
cana-3637	201	14	%	%	NOUN
cana-3637	201	15	.	.	PUNCT
cana-3637	202	1	all	all	DET
cana-3637	202	2	task	task	NOUN
cana-3637	202	3	types	type	NOUN
cana-3637	202	4	had	have	VERB
cana-3637	202	5	more	more	ADJ
cana-3637	202	6	uniform	uniform	ADJ
cana-3637	202	7	scores	score	NOUN
cana-3637	202	8	for	for	ADP
cana-3637	202	9	the	the	DET
cana-3637	202	10	proposed	propose	VERB
cana-3637	202	11	method	method	NOUN
cana-3637	202	12	compared	compare	VERB
cana-3637	202	13	with	with	ADP
cana-3637	202	14	the	the	DET
cana-3637	202	15	shap	shap	PROPN
cana-3637	202	16	implementation	implementation	NOUN
cana-3637	202	17	used	use	VERB
cana-3637	202	18	on	on	ADP
cana-3637	202	19	method	method	NOUN
cana-3637	202	20	[	[	X
cana-3637	202	21	8	8	NUM
cana-3637	202	22	]	]	PUNCT
cana-3637	202	23	in	in	ADP
cana-3637	202	24	process	process	NOUN
cana-3637	202	25	.	.	PUNCT
cana-3637	203	1	communications	communication	NOUN
cana-3637	203	2	on	on	ADP
cana-3637	203	3	applied	apply	VERB
cana-3637	203	4	nonlinear	nonlinear	ADJ
cana-3637	203	5	analysis	analysis	NOUN
cana-3637	203	6	issn	issn	NOUN
cana-3637	203	7	:	:	PUNCT
cana-3637	203	8	1074	1074	NUM
cana-3637	203	9	-	-	PUNCT
cana-3637	203	10	133x	133x	NUM
cana-3637	203	11	vol	vol	NOUN
cana-3637	203	12	32	32	NUM
cana-3637	203	13	no	no	NOUN
cana-3637	203	14	.	.	PUNCT
cana-3637	204	1	8s	8s	PROPN
cana-3637	204	2	(	(	PUNCT
cana-3637	204	3	2025	2025	NUM
cana-3637	204	4	)	)	PUNCT
cana-3637	204	5	227	227	NUM
cana-3637	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	204	7	figure	figure	NOUN
cana-3637	204	8	6	6	NUM
cana-3637	204	9	.	.	PUNCT
cana-3637	204	10	task	task	NOUN
cana-3637	204	11	efficiency	efficiency	NOUN
cana-3637	204	12	levels	level	NOUN
cana-3637	204	13	table	table	VERB
cana-3637	204	14	5	5	NUM
cana-3637	204	15	:	:	PUNCT
cana-3637	204	16	feature	feature	NOUN
cana-3637	204	17	importance	importance	NOUN
cana-3637	204	18	accuracy	accuracy	NOUN
cana-3637	204	19	(	(	PUNCT
cana-3637	204	20	interpretability	interpretability	NOUN
cana-3637	204	21	rate	rate	NOUN
cana-3637	204	22	)	)	PUNCT
cana-3637	204	23	task	task	NOUN
cana-3637	204	24	type	type	NOUN
cana-3637	204	25	proposed	propose	VERB
cana-3637	204	26	model	model	NOUN
cana-3637	204	27	method	method	NOUN
cana-3637	204	28	[	[	X
cana-3637	204	29	5	5	NUM
cana-3637	204	30	]	]	X
cana-3637	204	31	method	method	NOUN
cana-3637	204	32	[	[	X
cana-3637	204	33	8	8	NUM
cana-3637	204	34	]	]	X
cana-3637	204	35	method	method	NOUN
cana-3637	204	36	[	[	X
cana-3637	204	37	18	18	NUM
cana-3637	204	38	]	]	PUNCT
cana-3637	204	39	call	call	NOUN
cana-3637	204	40	log	log	NOUN
cana-3637	204	41	analysis	analysis	NOUN
cana-3637	204	42	91	91	NUM
cana-3637	204	43	%	%	NOUN
cana-3637	204	44	78	78	NUM
cana-3637	204	45	%	%	NOUN
cana-3637	204	46	83	83	NUM
cana-3637	204	47	%	%	NOUN
cana-3637	204	48	75	75	NUM
cana-3637	204	49	%	%	NOUN
cana-3637	204	50	location	location	NOUN
cana-3637	204	51	analysis	analysis	NOUN
cana-3637	204	52	92	92	NUM
cana-3637	204	53	%	%	NOUN
cana-3637	204	54	79	79	NUM
cana-3637	204	55	%	%	NOUN
cana-3637	204	56	84	84	NUM
cana-3637	204	57	%	%	NOUN
cana-3637	204	58	76	76	NUM
cana-3637	204	59	%	%	NOUN
cana-3637	204	60	anomaly	anomaly	NOUN
cana-3637	204	61	detection	detection	NOUN
cana-3637	204	62	92	92	NUM
cana-3637	204	63	%	%	NOUN
cana-3637	204	64	77	77	NUM
cana-3637	204	65	%	%	NOUN
cana-3637	204	66	84	84	NUM
cana-3637	204	67	%	%	NOUN
cana-3637	204	68	78	78	NUM
cana-3637	204	69	%	%	NOUN
cana-3637	204	70	table	table	NOUN
cana-3637	204	71	6	6	NUM
cana-3637	204	72	shows	show	VERB
cana-3637	204	73	accuracy	accuracy	NOUN
cana-3637	204	74	improvement	improvement	NOUN
cana-3637	204	75	of	of	ADP
cana-3637	204	76	each	each	DET
cana-3637	204	77	method	method	NOUN
cana-3637	204	78	on	on	ADP
cana-3637	204	79	new	new	ADJ
cana-3637	204	80	data	datum	NOUN
cana-3637	204	81	after	after	ADP
cana-3637	204	82	model	model	NOUN
cana-3637	204	83	adaptation	adaptation	NOUN
cana-3637	204	84	process	process	NOUN
cana-3637	204	85	.	.	PUNCT
cana-3637	205	1	our	our	PRON
cana-3637	205	2	model	model	NOUN
cana-3637	205	3	always	always	ADV
cana-3637	205	4	had	have	VERB
cana-3637	205	5	the	the	DET
cana-3637	205	6	highest	high	ADJ
cana-3637	205	7	accuracy	accuracy	NOUN
cana-3637	205	8	,	,	PUNCT
cana-3637	205	9	with	with	ADP
cana-3637	205	10	an	an	DET
cana-3637	205	11	average	average	ADJ
cana-3637	205	12	5	5	NUM
cana-3637	205	13	-	-	SYM
cana-3637	205	14	7	7	NUM
cana-3637	205	15	%	%	NOUN
cana-3637	205	16	improvement	improvement	NOUN
cana-3637	205	17	over	over	ADP
cana-3637	205	18	method	method	NOUN
cana-3637	205	19	[	[	X
cana-3637	205	20	5	5	NUM
cana-3637	205	21	]	]	PUNCT
cana-3637	205	22	and	and	CCONJ
cana-3637	205	23	3	3	NUM
cana-3637	205	24	-	-	SYM
cana-3637	205	25	4	4	NUM
cana-3637	205	26	%	%	NOUN
cana-3637	205	27	over	over	ADP
cana-3637	205	28	method	method	NOUN
cana-3637	205	29	[	[	X
cana-3637	205	30	8	8	NUM
cana-3637	205	31	]	]	PUNCT
cana-3637	205	32	.	.	PUNCT
cana-3637	206	1	the	the	DET
cana-3637	206	2	rapid	rapid	ADJ
cana-3637	206	3	ability	ability	NOUN
cana-3637	206	4	to	to	PART
cana-3637	206	5	adapt	adapt	VERB
cana-3637	206	6	to	to	ADP
cana-3637	206	7	unseen	unseen	ADJ
cana-3637	206	8	data	datum	NOUN
cana-3637	206	9	makes	make	VERB
cana-3637	206	10	this	this	DET
cana-3637	206	11	method	method	NOUN
cana-3637	206	12	very	very	ADV
cana-3637	206	13	effective	effective	ADJ
cana-3637	206	14	for	for	ADP
cana-3637	206	15	anomaly	anomaly	NOUN
cana-3637	206	16	detection	detection	NOUN
cana-3637	206	17	tasks	task	NOUN
cana-3637	206	18	,	,	PUNCT
cana-3637	206	19	where	where	SCONJ
cana-3637	206	20	accuracy	accuracy	NOUN
cana-3637	206	21	reached	reach	VERB
cana-3637	206	22	88	88	NUM
cana-3637	206	23	%	%	NOUN
cana-3637	206	24	in	in	ADP
cana-3637	206	25	process	process	NOUN
cana-3637	206	26	.	.	PUNCT
cana-3637	207	1	table	table	NOUN
cana-3637	207	2	6	6	NUM
cana-3637	207	3	:	:	PUNCT
cana-3637	207	4	performance	performance	NOUN
cana-3637	207	5	improvement	improvement	NOUN
cana-3637	207	6	(	(	PUNCT
cana-3637	207	7	accuracy	accuracy	NOUN
cana-3637	207	8	)	)	PUNCT
cana-3637	207	9	task	task	NOUN
cana-3637	207	10	type	type	NOUN
cana-3637	207	11	proposed	propose	VERB
cana-3637	207	12	model	model	NOUN
cana-3637	207	13	method	method	NOUN
cana-3637	207	14	[	[	X
cana-3637	207	15	5	5	NUM
cana-3637	207	16	]	]	X
cana-3637	207	17	method	method	NOUN
cana-3637	207	18	[	[	X
cana-3637	207	19	8	8	NUM
cana-3637	207	20	]	]	X
cana-3637	207	21	method	method	NOUN
cana-3637	207	22	[	[	X
cana-3637	207	23	18	18	NUM
cana-3637	207	24	]	]	PUNCT
cana-3637	207	25	call	call	NOUN
cana-3637	207	26	log	log	NOUN
cana-3637	207	27	analysis	analysis	NOUN
cana-3637	207	28	85	85	NUM
cana-3637	207	29	%	%	NOUN
cana-3637	207	30	77	77	NUM
cana-3637	207	31	%	%	NOUN
cana-3637	207	32	82	82	NUM
cana-3637	207	33	%	%	NOUN
cana-3637	207	34	74	74	NUM
cana-3637	207	35	%	%	NOUN
cana-3637	207	36	location	location	NOUN
cana-3637	207	37	analysis	analysis	NOUN
cana-3637	207	38	86	86	NUM
cana-3637	207	39	%	%	NOUN
cana-3637	207	40	78	78	NUM
cana-3637	207	41	%	%	NOUN
cana-3637	207	42	83	83	NUM
cana-3637	207	43	%	%	NOUN
cana-3637	207	44	75	75	NUM
cana-3637	207	45	%	%	NOUN
cana-3637	207	46	anomaly	anomaly	NOUN
cana-3637	207	47	detection	detection	NOUN
cana-3637	207	48	88	88	NUM
cana-3637	207	49	%	%	NOUN
cana-3637	207	50	80	80	NUM
cana-3637	207	51	%	%	NOUN
cana-3637	207	52	84	84	NUM
cana-3637	207	53	%	%	NOUN
cana-3637	207	54	77	77	NUM
cana-3637	207	55	%	%	NOUN
cana-3637	207	56	table	table	NOUN
cana-3637	207	57	7	7	NUM
cana-3637	207	58	shows	show	VERB
cana-3637	207	59	the	the	DET
cana-3637	207	60	number	number	NOUN
cana-3637	207	61	of	of	ADP
cana-3637	207	62	steps	step	NOUN
cana-3637	207	63	each	each	DET
cana-3637	207	64	adaptation	adaptation	NOUN
cana-3637	207	65	model	model	NOUN
cana-3637	207	66	requires	require	VERB
cana-3637	207	67	to	to	PART
cana-3637	207	68	adapt	adapt	VERB
cana-3637	207	69	a	a	DET
cana-3637	207	70	new	new	ADJ
cana-3637	207	71	task	task	NOUN
cana-3637	207	72	;	;	PUNCT
cana-3637	207	73	the	the	PRON
cana-3637	207	74	less	less	ADJ
cana-3637	207	75	the	the	DET
cana-3637	207	76	number	number	NOUN
cana-3637	207	77	of	of	ADP
cana-3637	207	78	steps	step	NOUN
cana-3637	207	79	taken	take	VERB
cana-3637	207	80	,	,	PUNCT
cana-3637	207	81	the	the	DET
cana-3637	207	82	better	well	ADJ
cana-3637	207	83	is	be	AUX
cana-3637	207	84	adaptability	adaptability	NOUN
cana-3637	207	85	.	.	PUNCT
cana-3637	208	1	the	the	DET
cana-3637	208	2	proposed	propose	VERB
cana-3637	208	3	adaptation	adaptation	NOUN
cana-3637	208	4	model	model	NOUN
cana-3637	208	5	adapted	adapt	VERB
cana-3637	208	6	the	the	DET
cana-3637	208	7	task	task	NOUN
cana-3637	208	8	at	at	ADP
cana-3637	208	9	an	an	DET
cana-3637	208	10	average	average	NOUN
cana-3637	208	11	of	of	ADP
cana-3637	208	12	4	4	NUM
cana-3637	208	13	steps	step	NOUN
cana-3637	208	14	,	,	PUNCT
cana-3637	208	15	thus	thus	ADV
cana-3637	208	16	surpassing	surpass	VERB
cana-3637	208	17	method	method	NOUN
cana-3637	208	18	[	[	X
cana-3637	208	19	5	5	NUM
cana-3637	208	20	]	]	PUNCT
cana-3637	208	21	that	that	PRON
cana-3637	208	22	took	take	VERB
cana-3637	208	23	7	7	NUM
cana-3637	208	24	steps	step	NOUN
cana-3637	208	25	,	,	PUNCT
cana-3637	208	26	and	and	CCONJ
cana-3637	208	27	method	method	NOUN
cana-3637	208	28	[	[	X
cana-3637	208	29	18	18	NUM
cana-3637	208	30	]	]	PUNCT
cana-3637	208	31	,	,	PUNCT
cana-3637	208	32	which	which	PRON
cana-3637	208	33	took	take	VERB
cana-3637	208	34	6	6	NUM
cana-3637	208	35	steps	step	NOUN
cana-3637	208	36	.	.	PUNCT
cana-3637	209	1	method	method	NOUN
cana-3637	210	1	[	[	X
cana-3637	210	2	8	8	NUM
cana-3637	210	3	]	]	PUNCT
cana-3637	210	4	showed	show	VERB
cana-3637	210	5	similar	similar	ADJ
cana-3637	210	6	adaptability	adaptability	NOUN
cana-3637	210	7	:	:	PUNCT
cana-3637	210	8	it	it	PRON
cana-3637	210	9	took	take	VERB
cana-3637	210	10	an	an	DET
cana-3637	210	11	average	average	NOUN
cana-3637	210	12	of	of	ADP
cana-3637	210	13	5	5	NUM
cana-3637	210	14	steps	step	NOUN
cana-3637	210	15	but	but	CCONJ
cana-3637	210	16	would	would	AUX
cana-3637	210	17	require	require	VERB
cana-3637	210	18	more	more	ADJ
cana-3637	210	19	computation	computation	NOUN
cana-3637	210	20	compared	compare	VERB
cana-3637	210	21	to	to	ADP
cana-3637	210	22	the	the	DET
cana-3637	210	23	proposed	propose	VERB
cana-3637	210	24	model	model	NOUN
cana-3637	210	25	since	since	SCONJ
cana-3637	210	26	there	there	PRON
cana-3637	210	27	is	be	VERB
cana-3637	210	28	no	no	DET
cana-3637	210	29	meta	meta	ADV
cana-3637	210	30	-	-	PUNCT
cana-3637	210	31	learning	learn	VERB
cana-3637	210	32	efficiency	efficiency	NOUN
cana-3637	210	33	of	of	ADP
cana-3637	210	34	maml	maml	PROPN
cana-3637	210	35	.	.	PUNCT
cana-3637	211	1	table	table	NOUN
cana-3637	211	2	7	7	NUM
cana-3637	211	3	:	:	PUNCT
cana-3637	211	4	task	task	NOUN
cana-3637	211	5	efficiency	efficiency	NOUN
cana-3637	211	6	(	(	PUNCT
cana-3637	211	7	adaptation	adaptation	NOUN
cana-3637	211	8	steps	step	NOUN
cana-3637	211	9	)	)	PUNCT
cana-3637	211	10	task	task	NOUN
cana-3637	211	11	type	type	NOUN
cana-3637	211	12	proposed	propose	VERB
cana-3637	211	13	model	model	NOUN
cana-3637	211	14	method	method	NOUN
cana-3637	212	1	[	[	X
cana-3637	212	2	5	5	NUM
cana-3637	212	3	]	]	X
cana-3637	212	4	method	method	NOUN
cana-3637	212	5	[	[	X
cana-3637	212	6	8	8	NUM
cana-3637	212	7	]	]	X
cana-3637	212	8	method	method	NOUN
cana-3637	212	9	[	[	X
cana-3637	212	10	18	18	NUM
cana-3637	212	11	]	]	PUNCT
cana-3637	212	12	call	call	NOUN
cana-3637	212	13	log	log	NOUN
cana-3637	212	14	classification	classification	NOUN
cana-3637	212	15	4	4	NUM
cana-3637	212	16	7	7	NUM
cana-3637	212	17	5	5	NUM
cana-3637	212	18	6	6	NUM
cana-3637	212	19	location	location	NOUN
cana-3637	212	20	clustering	cluster	VERB
cana-3637	212	21	4	4	NUM
cana-3637	212	22	7	7	NUM
cana-3637	212	23	5	5	NUM
cana-3637	212	24	6	6	NUM
cana-3637	212	25	anomaly	anomaly	NOUN
cana-3637	212	26	detection	detection	NOUN
cana-3637	212	27	3	3	NUM
cana-3637	212	28	6	6	NUM
cana-3637	212	29	5	5	NUM
cana-3637	212	30	6	6	NUM
cana-3637	212	31	communications	communication	NOUN
cana-3637	212	32	on	on	ADP
cana-3637	212	33	applied	apply	VERB
cana-3637	212	34	nonlinear	nonlinear	ADJ
cana-3637	212	35	analysis	analysis	NOUN
cana-3637	212	36	issn	issn	NOUN
cana-3637	212	37	:	:	PUNCT
cana-3637	212	38	1074	1074	NUM
cana-3637	212	39	-	-	PUNCT
cana-3637	212	40	133x	133x	NUM
cana-3637	212	41	vol	vol	NOUN
cana-3637	212	42	32	32	NUM
cana-3637	212	43	no	no	NOUN
cana-3637	212	44	.	.	PUNCT
cana-3637	213	1	8s	8s	PROPN
cana-3637	213	2	(	(	PUNCT
cana-3637	213	3	2025	2025	NUM
cana-3637	213	4	)	)	PUNCT
cana-3637	213	5	228	228	NUM
cana-3637	213	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	213	7	figures	figure	NOUN
cana-3637	213	8	3	3	NUM
cana-3637	213	9	,	,	PUNCT
cana-3637	213	10	4	4	NUM
cana-3637	213	11	&	&	CCONJ
cana-3637	213	12	5	5	NUM
cana-3637	213	13	collectively	collectively	ADV
cana-3637	213	14	show	show	VERB
cana-3637	213	15	the	the	DET
cana-3637	213	16	better	well	ADJ
cana-3637	213	17	performance	performance	NOUN
cana-3637	213	18	of	of	ADP
cana-3637	213	19	the	the	DET
cana-3637	213	20	proposed	propose	VERB
cana-3637	213	21	framework	framework	NOUN
cana-3637	213	22	in	in	ADP
cana-3637	213	23	mobile	mobile	ADJ
cana-3637	213	24	forensic	forensic	ADJ
cana-3637	213	25	analysis	analysis	NOUN
cana-3637	213	26	.	.	PUNCT
cana-3637	214	1	with	with	ADP
cana-3637	214	2	the	the	DET
cana-3637	214	3	integration	integration	NOUN
cana-3637	214	4	of	of	ADP
cana-3637	214	5	cpc	cpc	PROPN
cana-3637	214	6	,	,	PUNCT
cana-3637	214	7	maml	maml	PROPN
cana-3637	214	8	,	,	PUNCT
cana-3637	214	9	and	and	CCONJ
cana-3637	214	10	shap	shap	NOUN
cana-3637	214	11	,	,	PUNCT
cana-3637	214	12	the	the	DET
cana-3637	214	13	model	model	NOUN
cana-3637	214	14	exhibits	exhibit	VERB
cana-3637	214	15	high	high	ADJ
cana-3637	214	16	-	-	PUNCT
cana-3637	214	17	quality	quality	NOUN
cana-3637	214	18	feature	feature	NOUN
cana-3637	214	19	extraction	extraction	NOUN
cana-3637	214	20	,	,	PUNCT
cana-3637	214	21	rapid	rapid	ADJ
cana-3637	214	22	task	task	NOUN
cana-3637	214	23	adaptation	adaptation	NOUN
cana-3637	214	24	,	,	PUNCT
cana-3637	214	25	and	and	CCONJ
cana-3637	214	26	higher	high	ADJ
cana-3637	214	27	levels	level	NOUN
cana-3637	214	28	of	of	ADP
cana-3637	214	29	interpretability	interpretability	NOUN
cana-3637	214	30	levels	level	NOUN
cana-3637	214	31	.	.	PUNCT
cana-3637	215	1	these	these	DET
cana-3637	215	2	improvements	improvement	NOUN
cana-3637	215	3	indicate	indicate	VERB
cana-3637	215	4	that	that	SCONJ
cana-3637	215	5	the	the	DET
cana-3637	215	6	proposed	propose	VERB
cana-3637	215	7	model	model	NOUN
cana-3637	215	8	is	be	AUX
cana-3637	215	9	a	a	DET
cana-3637	215	10	more	more	ADV
cana-3637	215	11	effective	effective	ADJ
cana-3637	215	12	solution	solution	NOUN
cana-3637	215	13	for	for	ADP
cana-3637	215	14	real	real	ADJ
cana-3637	215	15	-	-	PUNCT
cana-3637	215	16	world	world	NOUN
cana-3637	215	17	forensic	forensic	ADJ
cana-3637	215	18	cases	case	NOUN
cana-3637	215	19	,	,	PUNCT
cana-3637	215	20	where	where	SCONJ
cana-3637	215	21	timely	timely	ADJ
cana-3637	215	22	and	and	CCONJ
cana-3637	215	23	interpretable	interpretable	ADJ
cana-3637	215	24	insights	insight	NOUN
cana-3637	215	25	are	be	AUX
cana-3637	215	26	critical	critical	ADJ
cana-3637	215	27	.	.	PUNCT
cana-3637	216	1	moving	move	VERB
cana-3637	216	2	on	on	ADP
cana-3637	216	3	,	,	PUNCT
cana-3637	216	4	an	an	DET
cana-3637	216	5	example	example	NOUN
cana-3637	216	6	usage	usage	NOUN
cana-3637	216	7	of	of	ADP
cana-3637	216	8	the	the	DET
cana-3637	216	9	proposed	propose	VERB
cana-3637	216	10	model	model	NOUN
cana-3637	216	11	would	would	AUX
cana-3637	216	12	clarify	clarify	VERB
cana-3637	216	13	this	this	PRON
cana-3637	216	14	in	in	ADP
cana-3637	216	15	detail	detail	NOUN
cana-3637	216	16	for	for	ADP
cana-3637	216	17	readers	reader	NOUN
cana-3637	216	18	.	.	PUNCT
cana-3637	217	1	practical	practical	ADJ
cana-3637	217	2	use	use	NOUN
cana-3637	217	3	case	case	NOUN
cana-3637	217	4	to	to	PART
cana-3637	217	5	explain	explain	VERB
cana-3637	217	6	the	the	DET
cana-3637	217	7	proposed	propose	VERB
cana-3637	217	8	model	model	NOUN
cana-3637	217	9	more	more	ADV
cana-3637	217	10	vividly	vividly	ADV
cana-3637	217	11	in	in	ADP
cana-3637	217	12	its	its	PRON
cana-3637	217	13	effectiveness	effectiveness	NOUN
cana-3637	217	14	,	,	PUNCT
cana-3637	217	15	a	a	DET
cana-3637	217	16	practical	practical	ADJ
cana-3637	217	17	use	use	NOUN
cana-3637	217	18	case	case	NOUN
cana-3637	217	19	would	would	AUX
cana-3637	217	20	be	be	AUX
cana-3637	217	21	visualized	visualize	VERB
cana-3637	217	22	as	as	ADP
cana-3637	217	23	mobile	mobile	ADJ
cana-3637	217	24	forensic	forensic	ADJ
cana-3637	217	25	analysis	analysis	NOUN
cana-3637	217	26	of	of	ADP
cana-3637	217	27	data	datum	NOUN
cana-3637	217	28	gathered	gather	VERB
cana-3637	217	29	from	from	ADP
cana-3637	217	30	an	an	DET
cana-3637	217	31	individual	individual	ADJ
cana-3637	217	32	user	user	NOUN
cana-3637	217	33	.	.	PUNCT
cana-3637	218	1	in	in	ADP
cana-3637	218	2	this	this	DET
cana-3637	218	3	dataset	dataset	NOUN
cana-3637	218	4	are	be	AUX
cana-3637	218	5	included	include	VERB
cana-3637	218	6	indicators	indicator	NOUN
cana-3637	218	7	such	such	ADJ
cana-3637	218	8	as	as	ADP
cana-3637	218	9	call	call	NOUN
cana-3637	218	10	log	log	NOUN
cana-3637	218	11	frequency	frequency	NOUN
cana-3637	218	12	,	,	PUNCT
cana-3637	218	13	message	message	NOUN
cana-3637	218	14	sentiment	sentiment	NOUN
cana-3637	218	15	,	,	PUNCT
cana-3637	218	16	location	location	NOUN
cana-3637	218	17	patterns	pattern	NOUN
cana-3637	218	18	,	,	PUNCT
cana-3637	218	19	and	and	CCONJ
cana-3637	218	20	application	application	NOUN
cana-3637	218	21	usage	usage	NOUN
cana-3637	218	22	.	.	PUNCT
cana-3637	219	1	each	each	DET
cana-3637	219	2	feature	feature	NOUN
cana-3637	219	3	captures	capture	VERB
cana-3637	219	4	different	different	ADJ
cana-3637	219	5	temporal	temporal	ADJ
cana-3637	219	6	and	and	CCONJ
cana-3637	219	7	behavioral	behavioral	ADJ
cana-3637	219	8	patterns	pattern	NOUN
cana-3637	219	9	,	,	PUNCT
cana-3637	219	10	thus	thus	ADV
cana-3637	219	11	allowing	allow	VERB
cana-3637	219	12	the	the	DET
cana-3637	219	13	model	model	NOUN
cana-3637	219	14	to	to	PART
cana-3637	219	15	learn	learn	VERB
cana-3637	219	16	context	context	NOUN
cana-3637	219	17	-	-	PUNCT
cana-3637	219	18	rich	rich	ADJ
cana-3637	219	19	representations	representation	NOUN
cana-3637	219	20	and	and	CCONJ
cana-3637	219	21	adapt	adapt	VERB
cana-3637	219	22	to	to	ADP
cana-3637	219	23	specific	specific	ADJ
cana-3637	219	24	forensic	forensic	ADJ
cana-3637	219	25	tasks	task	NOUN
cana-3637	219	26	at	at	ADP
cana-3637	219	27	high	high	ADJ
cana-3637	219	28	levels	level	NOUN
cana-3637	219	29	of	of	ADP
cana-3637	219	30	interpretability	interpretability	NOUN
cana-3637	219	31	.	.	PUNCT
cana-3637	220	1	in	in	ADP
cana-3637	220	2	this	this	DET
cana-3637	220	3	practical	practical	ADJ
cana-3637	220	4	use	use	NOUN
cana-3637	220	5	case	case	NOUN
cana-3637	220	6	analysis	analysis	NOUN
cana-3637	220	7	,	,	PUNCT
cana-3637	220	8	data	datum	NOUN
cana-3637	220	9	samples	sample	NOUN
cana-3637	220	10	were	be	AUX
cana-3637	220	11	derived	derive	VERB
cana-3637	220	12	from	from	ADP
cana-3637	220	13	the	the	DET
cana-3637	220	14	reality	reality	NOUN
cana-3637	220	15	mining	mining	NOUN
cana-3637	220	16	dataset	dataset	NOUN
cana-3637	220	17	developed	develop	VERB
cana-3637	220	18	by	by	ADP
cana-3637	220	19	the	the	DET
cana-3637	220	20	mit	mit	NOUN
cana-3637	220	21	media	medium	NOUN
cana-3637	220	22	lab	lab	NOUN
cana-3637	220	23	,	,	PUNCT
cana-3637	220	24	which	which	PRON
cana-3637	220	25	encompasses	encompass	VERB
cana-3637	220	26	extensive	extensive	ADJ
cana-3637	220	27	mobile	mobile	ADJ
cana-3637	220	28	interaction	interaction	NOUN
cana-3637	220	29	data	datum	NOUN
cana-3637	220	30	from	from	ADP
cana-3637	220	31	100	100	NUM
cana-3637	220	32	participants	participant	NOUN
cana-3637	220	33	over	over	ADP
cana-3637	220	34	nine	nine	NUM
cana-3637	220	35	months	month	NOUN
cana-3637	220	36	.	.	PUNCT
cana-3637	221	1	entities	entity	NOUN
cana-3637	221	2	in	in	ADP
cana-3637	221	3	this	this	DET
cana-3637	221	4	dataset	dataset	NOUN
cana-3637	221	5	are	be	AUX
cana-3637	221	6	user	user	NOUN
cana-3637	221	7	profiles	profile	NOUN
cana-3637	221	8	,	,	PUNCT
cana-3637	221	9	the	the	DET
cana-3637	221	10	individual	individual	ADJ
cana-3637	221	11	record	record	NOUN
cana-3637	221	12	of	of	ADP
cana-3637	221	13	time	time	NOUN
cana-3637	221	14	-	-	PUNCT
cana-3637	221	15	stamped	stamp	VERB
cana-3637	221	16	logs	log	NOUN
cana-3637	221	17	of	of	ADP
cana-3637	221	18	calls	call	NOUN
cana-3637	221	19	,	,	PUNCT
cana-3637	221	20	text	text	NOUN
cana-3637	221	21	messages	message	NOUN
cana-3637	221	22	,	,	PUNCT
cana-3637	221	23	gps	gps	PROPN
cana-3637	221	24	locations	location	NOUN
cana-3637	221	25	,	,	PUNCT
cana-3637	221	26	and	and	CCONJ
cana-3637	221	27	bluetooth	bluetooth	NOUN
cana-3637	221	28	proximity	proximity	NOUN
cana-3637	221	29	interactions	interaction	NOUN
cana-3637	221	30	.	.	PUNCT
cana-3637	222	1	examples	example	NOUN
cana-3637	222	2	of	of	ADP
cana-3637	222	3	samples	sample	NOUN
cana-3637	222	4	for	for	ADP
cana-3637	222	5	this	this	DET
cana-3637	222	6	analysis	analysis	NOUN
cana-3637	222	7	include	include	VERB
cana-3637	222	8	structured	structured	ADJ
cana-3637	222	9	call	call	NOUN
cana-3637	222	10	logs	log	NOUN
cana-3637	222	11	,	,	PUNCT
cana-3637	222	12	which	which	PRON
cana-3637	222	13	contain	contain	VERB
cana-3637	222	14	timestamp	timestamp	NOUN
cana-3637	222	15	,	,	PUNCT
cana-3637	222	16	call	call	VERB
cana-3637	222	17	duration	duration	NOUN
cana-3637	222	18	,	,	PUNCT
cana-3637	222	19	and	and	CCONJ
cana-3637	222	20	contact	contact	NOUN
cana-3637	222	21	identifiers	identifier	NOUN
cana-3637	222	22	,	,	PUNCT
cana-3637	222	23	which	which	PRON
cana-3637	222	24	present	present	ADJ
cana-3637	222	25	communication	communication	NOUN
cana-3637	222	26	patterns	pattern	NOUN
cana-3637	222	27	.	.	PUNCT
cana-3637	223	1	samples	sample	NOUN
cana-3637	223	2	for	for	ADP
cana-3637	223	3	text	text	NOUN
cana-3637	223	4	messages	message	NOUN
cana-3637	223	5	include	include	VERB
cana-3637	223	6	sentiment	sentiment	NOUN
cana-3637	223	7	scores	score	NOUN
cana-3637	223	8	that	that	PRON
cana-3637	223	9	derive	derive	VERB
cana-3637	223	10	from	from	ADP
cana-3637	223	11	message	message	NOUN
cana-3637	223	12	content	content	NOUN
cana-3637	223	13	that	that	PRON
cana-3637	223	14	could	could	AUX
cana-3637	223	15	be	be	AUX
cana-3637	223	16	analyzed	analyze	VERB
cana-3637	223	17	within	within	ADP
cana-3637	223	18	the	the	DET
cana-3637	223	19	context	context	NOUN
cana-3637	223	20	of	of	ADP
cana-3637	223	21	communication	communication	NOUN
cana-3637	223	22	.	.	PUNCT
cana-3637	224	1	the	the	DET
cana-3637	224	2	location	location	NOUN
cana-3637	224	3	data	datum	NOUN
cana-3637	224	4	from	from	ADP
cana-3637	224	5	the	the	DET
cana-3637	224	6	gps	gps	PROPN
cana-3637	224	7	will	will	AUX
cana-3637	224	8	be	be	AUX
cana-3637	224	9	in	in	ADP
cana-3637	224	10	terms	term	NOUN
cana-3637	224	11	of	of	ADP
cana-3637	224	12	latitude	latitude	NOUN
cana-3637	224	13	,	,	PUNCT
cana-3637	224	14	longitude	longitude	NOUN
cana-3637	224	15	,	,	PUNCT
cana-3637	224	16	and	and	CCONJ
cana-3637	224	17	timestamps	timestamp	NOUN
cana-3637	224	18	and	and	CCONJ
cana-3637	224	19	will	will	AUX
cana-3637	224	20	help	help	VERB
cana-3637	224	21	understand	understand	VERB
cana-3637	224	22	user	user	NOUN
cana-3637	224	23	mobility	mobility	NOUN
cana-3637	224	24	patterns	pattern	NOUN
cana-3637	224	25	from	from	ADP
cana-3637	224	26	a	a	DET
cana-3637	224	27	spatial	spatial	ADJ
cana-3637	224	28	point	point	NOUN
cana-3637	224	29	of	of	ADP
cana-3637	224	30	view	view	NOUN
cana-3637	224	31	.	.	PUNCT
cana-3637	225	1	the	the	DET
cana-3637	225	2	bluetooth	bluetooth	PROPN
cana-3637	225	3	proximity	proximity	NOUN
cana-3637	225	4	interactions	interaction	NOUN
cana-3637	225	5	will	will	AUX
cana-3637	225	6	also	also	ADV
cana-3637	225	7	be	be	AUX
cana-3637	225	8	timestamped	timestampe	VERB
cana-3637	225	9	and	and	CCONJ
cana-3637	225	10	captured	capture	VERB
cana-3637	225	11	device	device	NOUN
cana-3637	225	12	identifiers	identifier	NOUN
cana-3637	225	13	representing	represent	VERB
cana-3637	225	14	social	social	ADJ
cana-3637	225	15	interaction	interaction	NOUN
cana-3637	225	16	by	by	ADP
cana-3637	225	17	proximity	proximity	NOUN
cana-3637	225	18	.	.	PUNCT
cana-3637	226	1	these	these	DET
cana-3637	226	2	rich	rich	ADJ
cana-3637	226	3	,	,	PUNCT
cana-3637	226	4	time	time	NOUN
cana-3637	226	5	-	-	PUNCT
cana-3637	226	6	sequenced	sequence	VERB
cana-3637	226	7	data	data	NOUN
cana-3637	226	8	samples	sample	NOUN
cana-3637	226	9	form	form	VERB
cana-3637	226	10	the	the	DET
cana-3637	226	11	basis	basis	NOUN
cana-3637	226	12	for	for	ADP
cana-3637	226	13	extracting	extract	VERB
cana-3637	226	14	temporal	temporal	ADJ
cana-3637	226	15	patterns	pattern	NOUN
cana-3637	226	16	,	,	PUNCT
cana-3637	226	17	adapting	adapt	VERB
cana-3637	226	18	the	the	DET
cana-3637	226	19	model	model	NOUN
cana-3637	226	20	parameters	parameter	NOUN
cana-3637	226	21	to	to	ADP
cana-3637	226	22	new	new	ADJ
cana-3637	226	23	forensic	forensic	ADJ
cana-3637	226	24	tasks	task	NOUN
cana-3637	226	25	,	,	PUNCT
cana-3637	226	26	and	and	CCONJ
cana-3637	226	27	deriving	derive	VERB
cana-3637	226	28	feature	feature	NOUN
cana-3637	226	29	importance	importance	NOUN
cana-3637	226	30	scores	score	NOUN
cana-3637	226	31	in	in	ADP
cana-3637	226	32	an	an	DET
cana-3637	226	33	interpretable	interpretable	ADJ
cana-3637	226	34	way	way	NOUN
cana-3637	226	35	so	so	SCONJ
cana-3637	226	36	that	that	SCONJ
cana-3637	226	37	mobile	mobile	ADJ
cana-3637	226	38	behavioral	behavioral	ADJ
cana-3637	226	39	patterns	pattern	NOUN
cana-3637	226	40	could	could	AUX
cana-3637	226	41	be	be	AUX
cana-3637	226	42	fully	fully	ADV
cana-3637	226	43	analyzed	analyze	VERB
cana-3637	226	44	within	within	ADP
cana-3637	226	45	a	a	DET
cana-3637	226	46	forensic	forensic	ADJ
cana-3637	226	47	framework	framework	NOUN
cana-3637	226	48	.	.	PUNCT
cana-3637	227	1	table	table	NOUN
cana-3637	227	2	8	8	NUM
cana-3637	227	3	provides	provide	VERB
cana-3637	227	4	the	the	DET
cana-3637	227	5	output	output	NOUN
cana-3637	227	6	feature	feature	NOUN
cana-3637	227	7	embeddings	embedding	NOUN
cana-3637	227	8	generated	generate	VERB
cana-3637	227	9	by	by	ADP
cana-3637	227	10	the	the	DET
cana-3637	227	11	cpc	cpc	PROPN
cana-3637	227	12	model	model	NOUN
cana-3637	227	13	for	for	ADP
cana-3637	227	14	three	three	NUM
cana-3637	227	15	of	of	ADP
cana-3637	227	16	its	its	PRON
cana-3637	227	17	core	core	NOUN
cana-3637	227	18	features	feature	NOUN
cana-3637	227	19	:	:	PUNCT
cana-3637	227	20	call	call	VERB
cana-3637	227	21	log	log	NOUN
cana-3637	227	22	sequence	sequence	NOUN
cana-3637	227	23	,	,	PUNCT
cana-3637	227	24	message	message	NOUN
cana-3637	227	25	sentiment	sentiment	NOUN
cana-3637	227	26	,	,	PUNCT
cana-3637	227	27	and	and	CCONJ
cana-3637	227	28	location	location	NOUN
cana-3637	227	29	patterns	pattern	NOUN
cana-3637	227	30	,	,	PUNCT
cana-3637	227	31	where	where	SCONJ
cana-3637	227	32	values	value	NOUN
cana-3637	227	33	are	be	AUX
cana-3637	227	34	given	give	VERB
cana-3637	227	35	for	for	ADP
cana-3637	227	36	all	all	PRON
cana-3637	227	37	of	of	ADP
cana-3637	227	38	these	these	PRON
cana-3637	227	39	.	.	PUNCT
cana-3637	228	1	these	these	DET
cana-3637	228	2	features	feature	VERB
cana-3637	228	3	encode	encode	ADJ
cana-3637	228	4	temporal	temporal	ADJ
cana-3637	228	5	and	and	CCONJ
cana-3637	228	6	contextual	contextual	ADJ
cana-3637	228	7	dependencies	dependency	NOUN
cana-3637	228	8	for	for	ADP
cana-3637	228	9	embeddings	embedding	NOUN
cana-3637	228	10	that	that	PRON
cana-3637	228	11	are	be	AUX
cana-3637	228	12	optimized	optimize	VERB
cana-3637	228	13	in	in	ADP
cana-3637	228	14	terms	term	NOUN
cana-3637	228	15	of	of	ADP
cana-3637	228	16	making	make	VERB
cana-3637	228	17	accurate	accurate	ADJ
cana-3637	228	18	predictions	prediction	NOUN
cana-3637	228	19	for	for	ADP
cana-3637	228	20	the	the	DET
cana-3637	228	21	future	future	NOUN
cana-3637	228	22	.	.	PUNCT
cana-3637	229	1	such	such	ADJ
cana-3637	229	2	cpc	cpc	PROPN
cana-3637	229	3	embeddings	embedding	NOUN
cana-3637	229	4	mirror	mirror	VERB
cana-3637	229	5	the	the	DET
cana-3637	229	6	distinction	distinction	NOUN
cana-3637	229	7	between	between	ADP
cana-3637	229	8	unique	unique	ADJ
cana-3637	229	9	sequential	sequential	ADJ
cana-3637	229	10	patterns	pattern	NOUN
cana-3637	229	11	identified	identify	VERB
cana-3637	229	12	by	by	ADP
cana-3637	229	13	the	the	DET
cana-3637	229	14	model	model	NOUN
cana-3637	229	15	,	,	PUNCT
cana-3637	229	16	and	and	CCONJ
cana-3637	229	17	this	this	PRON
cana-3637	229	18	becomes	become	VERB
cana-3637	229	19	vital	vital	ADJ
cana-3637	229	20	for	for	ADP
cana-3637	229	21	its	its	PRON
cana-3637	229	22	subsequent	subsequent	ADJ
cana-3637	229	23	use	use	NOUN
cana-3637	229	24	in	in	ADP
cana-3637	229	25	clustering	clustering	NOUN
cana-3637	229	26	or	or	CCONJ
cana-3637	229	27	anomaly	anomaly	NOUN
cana-3637	229	28	detection	detection	NOUN
cana-3637	229	29	.	.	PUNCT
cana-3637	230	1	table	table	NOUN
cana-3637	230	2	8	8	NUM
cana-3637	230	3	:	:	PUNCT
cana-3637	230	4	contrastive	contrastive	ADJ
cana-3637	230	5	predictive	predictive	ADJ
cana-3637	230	6	coding	code	VERB
cana-3637	230	7	(	(	PUNCT
cana-3637	230	8	cpc	cpc	NOUN
cana-3637	230	9	)	)	PUNCT
cana-3637	230	10	output	output	NOUN
cana-3637	230	11	for	for	ADP
cana-3637	230	12	feature	feature	NOUN
cana-3637	230	13	representation	representation	NOUN
cana-3637	230	14	learning	learn	VERB
cana-3637	230	15	feature	feature	NOUN
cana-3637	230	16	embedding	embed	VERB
cana-3637	230	17	dimension	dimension	NOUN
cana-3637	230	18	1	1	NUM
cana-3637	230	19	embedding	embed	VERB
cana-3637	230	20	dimension	dimension	NOUN
cana-3637	230	21	2	2	NUM
cana-3637	230	22	embedding	embed	VERB
cana-3637	230	23	dimension	dimension	NOUN
cana-3637	230	24	3	3	NUM
cana-3637	230	25	call	call	NOUN
cana-3637	230	26	log	log	NOUN
cana-3637	230	27	frequency	frequency	NOUN
cana-3637	230	28	0.76	0.76	NUM
cana-3637	230	29	0.45	0.45	NUM
cana-3637	230	30	0.62	0.62	NUM
cana-3637	230	31	message	message	NOUN
cana-3637	230	32	sentiment	sentiment	NOUN
cana-3637	230	33	0.89	0.89	NUM
cana-3637	230	34	0.54	0.54	NUM
cana-3637	230	35	0.48	0.48	NUM
cana-3637	230	36	location	location	NOUN
cana-3637	230	37	patterns	pattern	NOUN
cana-3637	230	38	0.67	0.67	NUM
cana-3637	230	39	0.83	0.83	NUM
cana-3637	230	40	0.59	0.59	NUM
cana-3637	230	41	in	in	ADP
cana-3637	230	42	summary	summary	NOUN
cana-3637	230	43	,	,	PUNCT
cana-3637	230	44	the	the	DET
cana-3637	230	45	cpc	cpc	PROPN
cana-3637	230	46	embedding	embed	VERB
cana-3637	230	47	shows	show	VERB
cana-3637	230	48	how	how	SCONJ
cana-3637	230	49	well	well	ADV
cana-3637	230	50	the	the	DET
cana-3637	230	51	model	model	NOUN
cana-3637	230	52	can	can	AUX
cana-3637	230	53	capture	capture	VERB
cana-3637	230	54	good	good	ADJ
cana-3637	230	55	representations	representation	NOUN
cana-3637	230	56	about	about	ADP
cana-3637	230	57	sequential	sequential	ADJ
cana-3637	230	58	data	datum	NOUN
cana-3637	230	59	by	by	ADP
cana-3637	230	60	extracting	extract	VERB
cana-3637	230	61	strong	strong	ADJ
cana-3637	230	62	temporal	temporal	ADJ
cana-3637	230	63	dependencies	dependency	NOUN
cana-3637	230	64	within	within	ADP
cana-3637	230	65	mobile	mobile	ADJ
cana-3637	230	66	forensic	forensic	ADJ
cana-3637	230	67	data	datum	NOUN
cana-3637	230	68	samples	sample	NOUN
cana-3637	230	69	.	.	PUNCT
cana-3637	231	1	these	these	DET
cana-3637	231	2	embeddings	embedding	NOUN
cana-3637	231	3	are	be	AUX
cana-3637	231	4	used	use	VERB
cana-3637	231	5	as	as	ADP
cana-3637	231	6	input	input	NOUN
cana-3637	231	7	to	to	ADP
cana-3637	231	8	the	the	DET
cana-3637	231	9	subsequent	subsequent	ADJ
cana-3637	231	10	meta	meta	ADJ
cana-3637	231	11	-	-	PUNCT
cana-3637	231	12	learning	learn	VERB
cana-3637	231	13	tasks	task	NOUN
cana-3637	231	14	.	.	PUNCT
cana-3637	232	1	table	table	NOUN
cana-3637	232	2	9	9	NUM
cana-3637	232	3	depicts	depict	VERB
cana-3637	232	4	how	how	SCONJ
cana-3637	232	5	the	the	DET
cana-3637	232	6	maml	maml	ADJ
cana-3637	232	7	component	component	NOUN
cana-3637	232	8	is	be	AUX
cana-3637	232	9	able	able	ADJ
cana-3637	232	10	to	to	PART
cana-3637	232	11	quickly	quickly	ADV
cana-3637	232	12	adapt	adapt	VERB
cana-3637	232	13	.	.	PUNCT
cana-3637	233	1	it	it	PRON
cana-3637	233	2	shows	show	VERB
cana-3637	233	3	initial	initial	ADJ
cana-3637	233	4	and	and	CCONJ
cana-3637	233	5	adapted	adapted	ADJ
cana-3637	233	6	model	model	NOUN
cana-3637	233	7	parameters	parameter	NOUN
cana-3637	233	8	for	for	ADP
cana-3637	233	9	three	three	NUM
cana-3637	233	10	forensic	forensic	ADJ
cana-3637	233	11	tasks	task	NOUN
cana-3637	233	12	:	:	PUNCT
cana-3637	233	13	call	call	VERB
cana-3637	233	14	log	log	NOUN
cana-3637	233	15	classification	classification	NOUN
cana-3637	233	16	,	,	PUNCT
cana-3637	233	17	message	message	NOUN
cana-3637	233	18	clustering	clustering	NOUN
cana-3637	233	19	,	,	PUNCT
cana-3637	233	20	and	and	CCONJ
cana-3637	233	21	location	location	NOUN
cana-3637	233	22	anomaly	anomaly	NOUN
cana-3637	233	23	detection	detection	NOUN
cana-3637	233	24	.	.	PUNCT
cana-3637	234	1	the	the	DET
cana-3637	234	2	communications	communication	NOUN
cana-3637	234	3	on	on	ADP
cana-3637	234	4	applied	apply	VERB
cana-3637	234	5	nonlinear	nonlinear	ADJ
cana-3637	234	6	analysis	analysis	NOUN
cana-3637	234	7	issn	issn	NOUN
cana-3637	234	8	:	:	PUNCT
cana-3637	234	9	1074	1074	NUM
cana-3637	234	10	-	-	PUNCT
cana-3637	234	11	133x	133x	NUM
cana-3637	234	12	vol	vol	NOUN
cana-3637	234	13	32	32	NUM
cana-3637	234	14	no	no	NOUN
cana-3637	234	15	.	.	PUNCT
cana-3637	235	1	8s	8s	PROPN
cana-3637	235	2	(	(	PUNCT
cana-3637	235	3	2025	2025	NUM
cana-3637	235	4	)	)	PUNCT
cana-3637	235	5	229	229	NUM
cana-3637	235	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	235	7	adaptation	adaptation	NOUN
cana-3637	235	8	steps	step	NOUN
cana-3637	235	9	show	show	VERB
cana-3637	235	10	the	the	DET
cana-3637	235	11	way	way	NOUN
cana-3637	235	12	in	in	ADP
cana-3637	235	13	which	which	PRON
cana-3637	235	14	maml	maml	NOUN
cana-3637	235	15	adjusts	adjust	VERB
cana-3637	235	16	parameters	parameter	NOUN
cana-3637	235	17	for	for	ADP
cana-3637	235	18	each	each	PRON
cana-3637	235	19	of	of	ADP
cana-3637	235	20	the	the	DET
cana-3637	235	21	tasks	task	NOUN
cana-3637	235	22	,	,	PUNCT
cana-3637	235	23	leading	lead	VERB
cana-3637	235	24	to	to	ADP
cana-3637	235	25	rapid	rapid	ADJ
cana-3637	235	26	convergence	convergence	NOUN
cana-3637	235	27	and	and	CCONJ
cana-3637	235	28	efficient	efficient	ADJ
cana-3637	235	29	fine	fine	ADV
cana-3637	235	30	-	-	PUNCT
cana-3637	235	31	tuning	tuning	NOUN
cana-3637	235	32	for	for	ADP
cana-3637	235	33	specific	specific	ADJ
cana-3637	235	34	tasks	task	NOUN
cana-3637	235	35	.	.	PUNCT
cana-3637	236	1	table	table	NOUN
cana-3637	236	2	9	9	NUM
cana-3637	236	3	:	:	PUNCT
cana-3637	236	4	model	model	NOUN
cana-3637	236	5	-	-	ADJ
cana-3637	236	6	agnostic	agnostic	ADJ
cana-3637	236	7	meta	meta	ADJ
cana-3637	236	8	-	-	PUNCT
cana-3637	236	9	learning	learn	VERB
cana-3637	236	10	(	(	PUNCT
cana-3637	236	11	maml	maml	ADJ
cana-3637	236	12	)	)	PUNCT
cana-3637	236	13	outputs	output	NOUN
cana-3637	236	14	for	for	ADP
cana-3637	236	15	adaptation	adaptation	NOUN
cana-3637	236	16	across	across	ADP
cana-3637	236	17	tasks	task	NOUN
cana-3637	236	18	task	task	NOUN
cana-3637	236	19	type	type	NOUN
cana-3637	236	20	initial	initial	ADJ
cana-3637	236	21	parameter	parameter	NOUN
cana-3637	236	22	(	(	PUNCT
cana-3637	236	23	θ\thetaθ	θ\thetaθ	PROPN
cana-3637	236	24	)	)	PUNCT
cana-3637	236	25	adapted	adapt	VERB
cana-3637	236	26	parameter	parameter	NOUN
cana-3637	236	27	(	(	PUNCT
cana-3637	236	28	θ′\theta'θ′	θ′\theta'θ′	PROPN
cana-3637	236	29	)	)	PUNCT
cana-3637	236	30	adaptation	adaptation	NOUN
cana-3637	236	31	steps	step	NOUN
cana-3637	236	32	call	call	VERB
cana-3637	236	33	log	log	NOUN
cana-3637	236	34	classification	classification	NOUN
cana-3637	236	35	0.32	0.32	NUM
cana-3637	236	36	0.45	0.45	NUM
cana-3637	236	37	4	4	NUM
cana-3637	236	38	message	message	NOUN
cana-3637	236	39	clustering	cluster	VERB
cana-3637	236	40	0.28	0.28	NUM
cana-3637	236	41	0.39	0.39	NUM
cana-3637	236	42	3	3	NUM
cana-3637	236	43	location	location	NOUN
cana-3637	236	44	anomaly	anomaly	NOUN
cana-3637	236	45	detection	detection	NOUN
cana-3637	236	46	0.35	0.35	NUM
cana-3637	236	47	0.48	0.48	NUM
cana-3637	236	48	5	5	NUM
cana-3637	236	49	the	the	DET
cana-3637	236	50	parameter	parameter	NOUN
cana-3637	236	51	updates	update	NOUN
cana-3637	236	52	are	be	AUX
cana-3637	236	53	proved	prove	VERB
cana-3637	236	54	to	to	PART
cana-3637	236	55	be	be	AUX
cana-3637	236	56	efficient	efficient	ADJ
cana-3637	236	57	as	as	SCONJ
cana-3637	236	58	maml	maml	NOUN
cana-3637	236	59	adapts	adapt	VERB
cana-3637	236	60	well	well	ADV
cana-3637	236	61	to	to	ADP
cana-3637	236	62	different	different	ADJ
cana-3637	236	63	tasks	task	NOUN
cana-3637	236	64	,	,	PUNCT
cana-3637	236	65	and	and	CCONJ
cana-3637	236	66	a	a	DET
cana-3637	236	67	small	small	ADJ
cana-3637	236	68	number	number	NOUN
cana-3637	236	69	of	of	ADP
cana-3637	236	70	gradient	gradient	ADJ
cana-3637	236	71	steps	step	NOUN
cana-3637	236	72	is	be	AUX
cana-3637	236	73	required	require	VERB
cana-3637	236	74	.	.	PUNCT
cana-3637	237	1	adaptability	adaptability	NOUN
cana-3637	237	2	is	be	AUX
cana-3637	237	3	crucial	crucial	ADJ
cana-3637	237	4	when	when	SCONJ
cana-3637	237	5	dealing	deal	VERB
cana-3637	237	6	with	with	ADP
cana-3637	237	7	evolving	evolve	VERB
cana-3637	237	8	forensic	forensic	ADJ
cana-3637	237	9	scenarios	scenario	NOUN
cana-3637	237	10	in	in	ADP
cana-3637	237	11	which	which	PRON
cana-3637	237	12	task	task	NOUN
cana-3637	237	13	specificity	specificity	NOUN
cana-3637	237	14	might	might	AUX
cana-3637	237	15	be	be	AUX
cana-3637	237	16	needed	need	VERB
cana-3637	237	17	without	without	ADP
cana-3637	237	18	extensive	extensive	ADJ
cana-3637	237	19	retraining	retraining	NOUN
cana-3637	237	20	.	.	PUNCT
cana-3637	238	1	table	table	NOUN
cana-3637	238	2	10	10	NUM
cana-3637	238	3	depicts	depict	VERB
cana-3637	238	4	the	the	DET
cana-3637	238	5	shap	shap	PROPN
cana-3637	238	6	feature	feature	NOUN
cana-3637	238	7	importance	importance	NOUN
cana-3637	238	8	scores	score	NOUN
cana-3637	238	9	for	for	ADP
cana-3637	238	10	the	the	DET
cana-3637	238	11	three	three	NUM
cana-3637	238	12	tasks	task	NOUN
cana-3637	238	13	mentioned	mention	VERB
cana-3637	238	14	above	above	ADV
cana-3637	238	15	,	,	PUNCT
cana-3637	238	16	determined	determine	VERB
cana-3637	238	17	as	as	ADP
cana-3637	238	18	shapley	shapley	ADJ
cana-3637	238	19	values	value	NOUN
cana-3637	238	20	.	.	PUNCT
cana-3637	239	1	these	these	DET
cana-3637	239	2	scores	score	NOUN
cana-3637	239	3	are	be	AUX
cana-3637	239	4	the	the	DET
cana-3637	239	5	representation	representation	NOUN
cana-3637	239	6	of	of	ADP
cana-3637	239	7	how	how	SCONJ
cana-3637	239	8	important	important	ADJ
cana-3637	239	9	each	each	PRON
cana-3637	239	10	of	of	ADP
cana-3637	239	11	these	these	DET
cana-3637	239	12	features	feature	NOUN
cana-3637	239	13	are	be	AUX
cana-3637	239	14	,	,	PUNCT
cana-3637	239	15	ranging	range	VERB
cana-3637	239	16	from	from	ADP
cana-3637	239	17	call	call	NOUN
cana-3637	239	18	log	log	NOUN
cana-3637	239	19	frequency	frequency	NOUN
cana-3637	239	20	,	,	PUNCT
cana-3637	239	21	message	message	NOUN
cana-3637	239	22	sentiment	sentiment	NOUN
cana-3637	239	23	,	,	PUNCT
cana-3637	239	24	and	and	CCONJ
cana-3637	239	25	even	even	ADV
cana-3637	239	26	location	location	NOUN
cana-3637	239	27	patterns	pattern	NOUN
cana-3637	239	28	to	to	ADP
cana-3637	239	29	the	the	DET
cana-3637	239	30	overall	overall	ADJ
cana-3637	239	31	model	model	NOUN
cana-3637	239	32	decision	decision	NOUN
cana-3637	239	33	.	.	PUNCT
cana-3637	240	1	this	this	PRON
cana-3637	240	2	allows	allow	VERB
cana-3637	240	3	transparency	transparency	NOUN
cana-3637	240	4	into	into	ADP
cana-3637	240	5	the	the	DET
cana-3637	240	6	prediction	prediction	NOUN
cana-3637	240	7	process	process	NOUN
cana-3637	240	8	.	.	PUNCT
cana-3637	241	1	the	the	DET
cana-3637	241	2	more	more	ADV
cana-3637	241	3	significant	significant	ADJ
cana-3637	241	4	is	be	AUX
cana-3637	241	5	the	the	DET
cana-3637	241	6	feature	feature	NOUN
cana-3637	241	7	to	to	ADP
cana-3637	241	8	the	the	DET
cana-3637	241	9	higher	high	ADJ
cana-3637	241	10	score	score	NOUN
cana-3637	241	11	.	.	PUNCT
cana-3637	242	1	table	table	NOUN
cana-3637	242	2	10	10	NUM
cana-3637	242	3	:	:	PUNCT
cana-3637	242	4	shap	shap	NOUN
cana-3637	242	5	feature	feature	NOUN
cana-3637	242	6	importance	importance	NOUN
cana-3637	242	7	scores	score	NOUN
cana-3637	242	8	for	for	ADP
cana-3637	242	9	interpretability	interpretability	NOUN
cana-3637	242	10	feature	feature	NOUN
cana-3637	242	11	call	call	VERB
cana-3637	242	12	log	log	NOUN
cana-3637	242	13	classification	classification	NOUN
cana-3637	242	14	message	message	NOUN
cana-3637	242	15	clustering	cluster	VERB
cana-3637	242	16	location	location	NOUN
cana-3637	242	17	anomaly	anomaly	NOUN
cana-3637	242	18	detection	detection	NOUN
cana-3637	242	19	call	call	VERB
cana-3637	242	20	log	log	NOUN
cana-3637	242	21	frequency	frequency	NOUN
cana-3637	242	22	0.75	0.75	NUM
cana-3637	242	23	0.35	0.35	NUM
cana-3637	242	24	0.42	0.42	NUM
cana-3637	242	25	message	message	NOUN
cana-3637	242	26	sentiment	sentiment	NOUN
cana-3637	242	27	0.55	0.55	NUM
cana-3637	242	28	0.82	0.82	NUM
cana-3637	242	29	0.47	0.47	NUM
cana-3637	242	30	location	location	NOUN
cana-3637	242	31	patterns	pattern	NOUN
cana-3637	242	32	0.44	0.44	NUM
cana-3637	242	33	0.33	0.33	NUM
cana-3637	242	34	0.79	0.79	NUM
cana-3637	242	35	in	in	ADP
cana-3637	242	36	particular	particular	ADJ
cana-3637	242	37	,	,	PUNCT
cana-3637	242	38	interpretability	interpretability	NOUN
cana-3637	242	39	scores	score	NOUN
cana-3637	242	40	bring	bring	VERB
cana-3637	242	41	forth	forth	ADV
cana-3637	242	42	the	the	DET
cana-3637	242	43	decision	decision	NOUN
cana-3637	242	44	-	-	PUNCT
cana-3637	242	45	making	make	VERB
cana-3637	242	46	power	power	NOUN
cana-3637	242	47	of	of	ADP
cana-3637	242	48	the	the	DET
cana-3637	242	49	model	model	NOUN
cana-3637	242	50	such	such	ADJ
cana-3637	242	51	that	that	SCONJ
cana-3637	242	52	forensic	forensic	ADJ
cana-3637	242	53	analysts	analyst	NOUN
cana-3637	242	54	can	can	AUX
cana-3637	242	55	know	know	VERB
cana-3637	242	56	and	and	CCONJ
cana-3637	242	57	verify	verify	VERB
cana-3637	242	58	what	what	PRON
cana-3637	242	59	features	feature	NOUN
cana-3637	242	60	exactly	exactly	ADV
cana-3637	242	61	have	have	VERB
cana-3637	242	62	a	a	DET
cana-3637	242	63	driving	drive	VERB
cana-3637	242	64	influence	influence	NOUN
cana-3637	242	65	in	in	ADP
cana-3637	242	66	the	the	DET
cana-3637	242	67	outputs	output	NOUN
cana-3637	242	68	for	for	ADP
cana-3637	242	69	classification	classification	NOUN
cana-3637	242	70	or	or	CCONJ
cana-3637	242	71	anomaly	anomaly	NOUN
cana-3637	242	72	detection	detection	NOUN
cana-3637	242	73	.	.	PUNCT
cana-3637	243	1	transparency	transparency	NOUN
cana-3637	243	2	on	on	ADP
cana-3637	243	3	values	value	NOUN
cana-3637	243	4	of	of	ADP
cana-3637	243	5	feature	feature	NOUN
cana-3637	243	6	importance	importance	NOUN
cana-3637	243	7	will	will	AUX
cana-3637	243	8	emerge	emerge	VERB
cana-3637	243	9	from	from	ADP
cana-3637	243	10	the	the	DET
cana-3637	243	11	shap	shap	NOUN
cana-3637	243	12	with	with	ADP
cana-3637	243	13	the	the	DET
cana-3637	243	14	model	model	NOUN
cana-3637	243	15	's	's	PART
cana-3637	243	16	prediction	prediction	NOUN
cana-3637	243	17	output	output	NOUN
cana-3637	243	18	,	,	PUNCT
cana-3637	243	19	which	which	PRON
cana-3637	243	20	is	be	AUX
cana-3637	243	21	quite	quite	ADV
cana-3637	243	22	inevitable	inevitable	ADJ
cana-3637	243	23	for	for	ADP
cana-3637	243	24	the	the	DET
cana-3637	243	25	validation	validation	NOUN
cana-3637	243	26	process	process	NOUN
cana-3637	243	27	regarding	regard	VERB
cana-3637	243	28	evidence	evidence	NOUN
cana-3637	243	29	.	.	PUNCT
cana-3637	244	1	table	table	NOUN
cana-3637	244	2	11	11	NUM
cana-3637	244	3	summarizes	summarize	NOUN
cana-3637	244	4	the	the	DET
cana-3637	244	5	final	final	ADJ
cana-3637	244	6	results	result	NOUN
cana-3637	244	7	about	about	ADP
cana-3637	244	8	the	the	DET
cana-3637	244	9	outputs	output	NOUN
cana-3637	244	10	from	from	ADP
cana-3637	244	11	forensic	forensic	ADJ
cana-3637	244	12	tasks	task	NOUN
cana-3637	244	13	,	,	PUNCT
cana-3637	244	14	such	such	ADJ
cana-3637	244	15	as	as	ADP
cana-3637	244	16	the	the	DET
cana-3637	244	17	class	class	NOUN
cana-3637	244	18	accuracy	accuracy	NOUN
cana-3637	244	19	,	,	PUNCT
cana-3637	244	20	clustering	cluster	VERB
cana-3637	244	21	purity	purity	NOUN
cana-3637	244	22	and	and	CCONJ
cana-3637	244	23	anomaly	anomaly	NOUN
cana-3637	244	24	detection	detection	NOUN
cana-3637	244	25	precision	precision	NOUN
cana-3637	244	26	to	to	PART
cana-3637	244	27	justify	justify	VERB
cana-3637	244	28	the	the	DET
cana-3637	244	29	overall	overall	ADJ
cana-3637	244	30	performance	performance	NOUN
cana-3637	244	31	that	that	PRON
cana-3637	244	32	demonstrates	demonstrate	VERB
cana-3637	244	33	the	the	DET
cana-3637	244	34	proposed	propose	VERB
cana-3637	244	35	model	model	NOUN
cana-3637	244	36	.	.	PUNCT
cana-3637	245	1	table	table	NOUN
cana-3637	245	2	11	11	NUM
cana-3637	245	3	:	:	PUNCT
cana-3637	245	4	final	final	ADJ
cana-3637	245	5	model	model	NOUN
cana-3637	245	6	outputs	output	NOUN
cana-3637	245	7	for	for	ADP
cana-3637	245	8	forensic	forensic	ADJ
cana-3637	245	9	analysis	analysis	NOUN
cana-3637	245	10	tasks	task	NOUN
cana-3637	245	11	task	task	NOUN
cana-3637	245	12	type	type	NOUN
cana-3637	245	13	accuracy	accuracy	NOUN
cana-3637	245	14	(	(	PUNCT
cana-3637	245	15	%	%	INTJ
cana-3637	245	16	)	)	PUNCT
cana-3637	245	17	clustering	cluster	VERB
cana-3637	245	18	purity	purity	NOUN
cana-3637	245	19	(	(	PUNCT
cana-3637	245	20	%	%	INTJ
cana-3637	245	21	)	)	PUNCT
cana-3637	245	22	precision	precision	NOUN
cana-3637	245	23	(	(	PUNCT
cana-3637	245	24	anomaly	anomaly	NOUN
cana-3637	245	25	detection	detection	NOUN
cana-3637	245	26	)	)	PUNCT
cana-3637	245	27	call	call	VERB
cana-3637	245	28	log	log	NOUN
cana-3637	245	29	classification	classification	NOUN
cana-3637	245	30	87	87	NUM
cana-3637	245	31	message	message	NOUN
cana-3637	245	32	clustering	cluster	VERB
cana-3637	245	33	90	90	NUM
cana-3637	245	34	location	location	NOUN
cana-3637	245	35	anomaly	anomaly	NOUN
cana-3637	245	36	detection	detection	NOUN
cana-3637	245	37	88	88	NUM
cana-3637	245	38	the	the	DET
cana-3637	245	39	last	last	ADJ
cana-3637	245	40	outputs	output	NOUN
cana-3637	245	41	illustrate	illustrate	VERB
cana-3637	245	42	the	the	DET
cana-3637	245	43	performance	performance	NOUN
cana-3637	245	44	of	of	ADP
cana-3637	245	45	the	the	DET
cana-3637	245	46	proposed	propose	VERB
cana-3637	245	47	model	model	NOUN
cana-3637	245	48	on	on	ADP
cana-3637	245	49	various	various	ADJ
cana-3637	245	50	tasks	task	NOUN
cana-3637	245	51	related	relate	VERB
cana-3637	245	52	to	to	ADP
cana-3637	245	53	forensic	forensic	ADJ
cana-3637	245	54	analysis	analysis	NOUN
cana-3637	245	55	.	.	PUNCT
cana-3637	246	1	with	with	ADP
cana-3637	246	2	high	high	ADJ
cana-3637	246	3	accuracy	accuracy	NOUN
cana-3637	246	4	,	,	PUNCT
cana-3637	246	5	clustering	clustering	ADJ
cana-3637	246	6	purity	purity	NOUN
cana-3637	246	7	,	,	PUNCT
cana-3637	246	8	and	and	CCONJ
cana-3637	246	9	precision	precision	NOUN
cana-3637	246	10	scores	score	NOUN
cana-3637	246	11	,	,	PUNCT
cana-3637	246	12	it	it	PRON
cana-3637	246	13	proves	prove	VERB
cana-3637	246	14	that	that	SCONJ
cana-3637	246	15	the	the	DET
cana-3637	246	16	model	model	NOUN
cana-3637	246	17	can	can	AUX
cana-3637	246	18	actually	actually	ADV
cana-3637	246	19	provide	provide	VERB
cana-3637	246	20	reliable	reliable	ADJ
cana-3637	246	21	and	and	CCONJ
cana-3637	246	22	interpretable	interpretable	ADJ
cana-3637	246	23	insights	insight	NOUN
cana-3637	246	24	into	into	ADP
cana-3637	246	25	the	the	DET
cana-3637	246	26	mobile	mobile	ADJ
cana-3637	246	27	data	datum	NOUN
cana-3637	246	28	patterns	pattern	NOUN
cana-3637	246	29	that	that	PRON
cana-3637	246	30	are	be	AUX
cana-3637	246	31	so	so	ADV
cana-3637	246	32	vital	vital	ADJ
cana-3637	246	33	for	for	ADP
cana-3637	246	34	forensic	forensic	ADJ
cana-3637	246	35	analysis	analysis	NOUN
cana-3637	246	36	.	.	PUNCT
cana-3637	247	1	communications	communication	NOUN
cana-3637	247	2	on	on	ADP
cana-3637	247	3	applied	apply	VERB
cana-3637	247	4	nonlinear	nonlinear	ADJ
cana-3637	247	5	analysis	analysis	NOUN
cana-3637	247	6	issn	issn	NOUN
cana-3637	247	7	:	:	PUNCT
cana-3637	247	8	1074	1074	NUM
cana-3637	247	9	-	-	PUNCT
cana-3637	247	10	133x	133x	NUM
cana-3637	247	11	vol	vol	NOUN
cana-3637	247	12	32	32	NUM
cana-3637	247	13	no	no	NOUN
cana-3637	247	14	.	.	PUNCT
cana-3637	248	1	8s	8s	PROPN
cana-3637	248	2	(	(	PUNCT
cana-3637	248	3	2025	2025	NUM
cana-3637	248	4	)	)	PUNCT
cana-3637	248	5	230	230	NUM
cana-3637	248	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	248	7	5	5	NUM
cana-3637	248	8	.	.	NOUN
cana-3637	248	9	conclusion	conclusion	NOUN
cana-3637	248	10	and	and	CCONJ
cana-3637	248	11	future	future	ADJ
cana-3637	248	12	scopes	scope	NOUN
cana-3637	248	13	this	this	DET
cana-3637	248	14	work	work	NOUN
cana-3637	248	15	proposes	propose	VERB
cana-3637	248	16	a	a	DET
cana-3637	248	17	comprehensive	comprehensive	ADJ
cana-3637	248	18	framework	framework	NOUN
cana-3637	248	19	for	for	ADP
cana-3637	248	20	mobile	mobile	ADJ
cana-3637	248	21	forensic	forensic	ADJ
cana-3637	248	22	analysis	analysis	NOUN
cana-3637	248	23	that	that	PRON
cana-3637	248	24	incorporates	incorporate	VERB
cana-3637	248	25	contrastive	contrastive	ADJ
cana-3637	248	26	predictive	predictive	ADJ
cana-3637	248	27	coding	code	VERB
cana-3637	248	28	(	(	PUNCT
cana-3637	248	29	cpc	cpc	PROPN
cana-3637	248	30	)	)	PUNCT
cana-3637	248	31	for	for	ADP
cana-3637	248	32	robust	robust	ADJ
cana-3637	248	33	feature	feature	NOUN
cana-3637	248	34	extraction	extraction	NOUN
cana-3637	248	35	,	,	PUNCT
cana-3637	248	36	model	model	NOUN
cana-3637	248	37	-	-	ADJ
cana-3637	248	38	agnostic	agnostic	ADJ
cana-3637	248	39	meta	meta	ADJ
cana-3637	248	40	-	-	PUNCT
cana-3637	248	41	learning	learn	VERB
cana-3637	248	42	(	(	PUNCT
cana-3637	248	43	maml	maml	PROPN
cana-3637	248	44	)	)	PUNCT
cana-3637	248	45	for	for	ADP
cana-3637	248	46	rapid	rapid	ADJ
cana-3637	248	47	adaptability	adaptability	NOUN
cana-3637	248	48	,	,	PUNCT
cana-3637	248	49	and	and	CCONJ
cana-3637	248	50	shapley	shapley	ADJ
cana-3637	248	51	additive	additive	ADJ
cana-3637	248	52	explanations	explanation	NOUN
cana-3637	248	53	(	(	PUNCT
cana-3637	248	54	shap	shap	NOUN
cana-3637	248	55	)	)	PUNCT
cana-3637	248	56	for	for	ADP
cana-3637	248	57	interpretability	interpretability	NOUN
cana-3637	248	58	.	.	PUNCT
cana-3637	249	1	the	the	DET
cana-3637	249	2	proposed	propose	VERB
cana-3637	249	3	model	model	NOUN
cana-3637	249	4	addresses	address	VERB
cana-3637	249	5	significant	significant	ADJ
cana-3637	249	6	challenges	challenge	NOUN
cana-3637	249	7	in	in	ADP
cana-3637	249	8	mobile	mobile	ADJ
cana-3637	249	9	forensics	forensic	NOUN
cana-3637	249	10	,	,	PUNCT
cana-3637	249	11	where	where	SCONJ
cana-3637	249	12	sequential	sequential	ADJ
cana-3637	249	13	and	and	CCONJ
cana-3637	249	14	dynamic	dynamic	ADJ
cana-3637	249	15	data	datum	NOUN
cana-3637	249	16	patterns	pattern	NOUN
cana-3637	249	17	demand	demand	VERB
cana-3637	249	18	flexible	flexible	ADJ
cana-3637	249	19	and	and	CCONJ
cana-3637	249	20	explainable	explainable	ADJ
cana-3637	249	21	analytical	analytical	ADJ
cana-3637	249	22	tools	tool	NOUN
cana-3637	249	23	.	.	PUNCT
cana-3637	250	1	experimental	experimental	ADJ
cana-3637	250	2	evaluations	evaluation	NOUN
cana-3637	250	3	on	on	ADP
cana-3637	250	4	the	the	DET
cana-3637	250	5	reality	reality	NOUN
cana-3637	250	6	mining	mining	NOUN
cana-3637	250	7	dataset	dataset	NOUN
cana-3637	250	8	demonstrate	demonstrate	VERB
cana-3637	250	9	significant	significant	ADJ
cana-3637	250	10	improvements	improvement	NOUN
cana-3637	250	11	over	over	ADP
cana-3637	250	12	conventional	conventional	ADJ
cana-3637	250	13	methods	method	NOUN
cana-3637	250	14	.	.	PUNCT
cana-3637	251	1	in	in	ADP
cana-3637	251	2	text	text	NOUN
cana-3637	251	3	messaging	message	VERB
cana-3637	251	4	data	datum	NOUN
cana-3637	251	5	,	,	PUNCT
cana-3637	251	6	the	the	DET
cana-3637	251	7	proposed	propose	VERB
cana-3637	251	8	model	model	NOUN
cana-3637	251	9	gained	gain	VERB
cana-3637	251	10	an	an	DET
cana-3637	251	11	f1	f1	NOUN
cana-3637	251	12	-	-	PUNCT
cana-3637	251	13	score	score	NOUN
cana-3637	251	14	as	as	ADV
cana-3637	251	15	high	high	ADJ
cana-3637	251	16	as	as	ADP
cana-3637	251	17	0.91	0.91	NUM
cana-3637	251	18	,	,	PUNCT
cana-3637	251	19	which	which	PRON
cana-3637	251	20	also	also	ADV
cana-3637	251	21	topped	top	VERB
cana-3637	251	22	the	the	DET
cana-3637	251	23	best	good	ADJ
cana-3637	251	24	alternative	alternative	NOUN
cana-3637	251	25	by	by	ADP
cana-3637	251	26	6	6	NUM
cana-3637	251	27	%	%	NOUN
cana-3637	251	28	and	and	CCONJ
cana-3637	251	29	further	further	ADJ
cana-3637	251	30	signifies	signify	VERB
cana-3637	251	31	the	the	DET
cana-3637	251	32	strength	strength	NOUN
cana-3637	251	33	of	of	ADP
cana-3637	251	34	the	the	DET
cana-3637	251	35	proposed	propose	VERB
cana-3637	251	36	model	model	NOUN
cana-3637	251	37	in	in	ADP
cana-3637	251	38	capturing	capture	VERB
cana-3637	251	39	the	the	DET
cana-3637	251	40	nature	nature	NOUN
cana-3637	251	41	of	of	ADP
cana-3637	251	42	temporal	temporal	ADJ
cana-3637	251	43	dependencies	dependency	NOUN
cana-3637	251	44	.	.	PUNCT
cana-3637	252	1	hence	hence	ADV
cana-3637	252	2	the	the	DET
cana-3637	252	3	adaptation	adaptation	NOUN
cana-3637	252	4	time	time	NOUN
cana-3637	252	5	was	be	AUX
cana-3637	252	6	considerably	considerably	ADV
cana-3637	252	7	improved	improve	VERB
cana-3637	252	8	with	with	ADP
cana-3637	252	9	converged	converged	ADJ
cana-3637	252	10	times	time	NOUN
cana-3637	252	11	of	of	ADP
cana-3637	252	12	7	7	NUM
cana-3637	252	13	average	average	ADJ
cana-3637	252	14	seconds	second	NOUN
cana-3637	252	15	across	across	ADP
cana-3637	252	16	tasks	task	NOUN
cana-3637	252	17	in	in	ADP
cana-3637	252	18	comparison	comparison	NOUN
cana-3637	252	19	to	to	ADP
cana-3637	252	20	other	other	ADJ
cana-3637	252	21	similar	similar	ADJ
cana-3637	252	22	methodologies	methodology	NOUN
cana-3637	252	23	that	that	PRON
cana-3637	252	24	took	take	VERB
cana-3637	252	25	10	10	NUM
cana-3637	252	26	to	to	PART
cana-3637	252	27	13	13	NUM
cana-3637	252	28	seconds	second	NOUN
cana-3637	252	29	,	,	PUNCT
cana-3637	252	30	and	and	CCONJ
cana-3637	252	31	performance	performance	NOUN
cana-3637	252	32	was	be	AUX
cana-3637	252	33	20	20	NUM
cana-3637	252	34	%	%	NOUN
cana-3637	252	35	25	25	NUM
cana-3637	252	36	%	%	NOUN
cana-3637	252	37	better	well	ADV
cana-3637	252	38	enhanced	enhance	VERB
cana-3637	252	39	-	-	PUNCT
cana-3637	252	40	which	which	PRON
cana-3637	252	41	is	be	AUX
cana-3637	252	42	quite	quite	ADV
cana-3637	252	43	critical	critical	ADJ
cana-3637	252	44	to	to	ADP
cana-3637	252	45	forensic	forensic	ADJ
cana-3637	252	46	applications	application	NOUN
cana-3637	252	47	,	,	PUNCT
cana-3637	252	48	as	as	SCONJ
cana-3637	252	49	they	they	PRON
cana-3637	252	50	always	always	ADV
cana-3637	252	51	involve	involve	VERB
cana-3637	252	52	sensitivity	sensitivity	NOUN
cana-3637	252	53	in	in	ADP
cana-3637	252	54	terms	term	NOUN
cana-3637	252	55	of	of	ADP
cana-3637	252	56	time	time	NOUN
cana-3637	252	57	.	.	PUNCT
cana-3637	253	1	further	far	ADV
cana-3637	253	2	,	,	PUNCT
cana-3637	253	3	quality	quality	NOUN
cana-3637	253	4	of	of	ADP
cana-3637	253	5	embedding	embed	VERB
cana-3637	253	6	was	be	AUX
cana-3637	253	7	also	also	ADV
cana-3637	253	8	good	good	ADJ
cana-3637	253	9	in	in	ADP
cana-3637	253	10	the	the	DET
cana-3637	253	11	model	model	NOUN
cana-3637	253	12	as	as	SCONJ
cana-3637	253	13	minimum	minimum	NOUN
cana-3637	253	14	mean	mean	NOUN
cana-3637	253	15	squared	square	VERB
cana-3637	253	16	error	error	NOUN
cana-3637	253	17	of	of	ADP
cana-3637	253	18	0.016	0.016	NUM
cana-3637	253	19	was	be	AUX
cana-3637	253	20	achieved	achieve	VERB
cana-3637	253	21	on	on	ADP
cana-3637	253	22	text	text	NOUN
cana-3637	253	23	data	datum	NOUN
cana-3637	253	24	.	.	PUNCT
cana-3637	254	1	the	the	DET
cana-3637	254	2	mean	mean	ADJ
cana-3637	254	3	interpretability	interpretability	NOUN
cana-3637	254	4	rate	rate	NOUN
cana-3637	254	5	was	be	AUX
cana-3637	254	6	at	at	ADP
cana-3637	254	7	92	92	NUM
cana-3637	254	8	%	%	NOUN
cana-3637	254	9	,	,	PUNCT
cana-3637	254	10	while	while	SCONJ
cana-3637	254	11	the	the	DET
cana-3637	254	12	interpretability	interpretability	NOUN
cana-3637	254	13	scores	score	NOUN
cana-3637	254	14	from	from	ADP
cana-3637	254	15	other	other	ADJ
cana-3637	254	16	methods	method	NOUN
cana-3637	254	17	ranged	range	VERB
cana-3637	254	18	between	between	ADP
cana-3637	254	19	78	78	NUM
cana-3637	254	20	and	and	CCONJ
cana-3637	254	21	84	84	NUM
cana-3637	254	22	%	%	NOUN
cana-3637	254	23	.	.	PUNCT
cana-3637	255	1	this	this	PRON
cana-3637	255	2	therefore	therefore	ADV
cana-3637	255	3	means	mean	VERB
cana-3637	255	4	that	that	SCONJ
cana-3637	255	5	the	the	DET
cana-3637	255	6	approach	approach	NOUN
cana-3637	255	7	is	be	AUX
cana-3637	255	8	efficient	efficient	ADJ
cana-3637	255	9	enough	enough	ADV
cana-3637	255	10	to	to	PART
cana-3637	255	11	guarantee	guarantee	VERB
cana-3637	255	12	high	high	ADJ
cana-3637	255	13	adaptability	adaptability	NOUN
cana-3637	255	14	through	through	ADP
cana-3637	255	15	proper	proper	ADJ
cana-3637	255	16	feature	feature	NOUN
cana-3637	255	17	extraction	extraction	NOUN
cana-3637	255	18	and	and	CCONJ
cana-3637	255	19	transparent	transparent	ADJ
cana-3637	255	20	decision	decision	NOUN
cana-3637	255	21	-	-	PUNCT
cana-3637	255	22	making	make	VERB
cana-3637	255	23	procedures	procedure	NOUN
cana-3637	255	24	toward	toward	ADP
cana-3637	255	25	validation	validation	NOUN
cana-3637	255	26	of	of	ADP
cana-3637	255	27	forensic	forensic	ADJ
cana-3637	255	28	evidence	evidence	NOUN
cana-3637	255	29	sets	set	NOUN
cana-3637	255	30	.	.	PUNCT
cana-3637	256	1	in	in	ADP
cana-3637	256	2	future	future	ADJ
cana-3637	256	3	work	work	NOUN
cana-3637	256	4	,	,	PUNCT
cana-3637	256	5	this	this	DET
cana-3637	256	6	proposed	propose	VERB
cana-3637	256	7	framework	framework	NOUN
cana-3637	256	8	may	may	AUX
cana-3637	256	9	be	be	AUX
cana-3637	256	10	extended	extend	VERB
cana-3637	256	11	for	for	ADP
cana-3637	256	12	multimodal	multimodal	NOUN
cana-3637	256	13	data	datum	NOUN
cana-3637	256	14	sources	source	NOUN
cana-3637	256	15	including	include	VERB
cana-3637	256	16	multimedia	multimedia	NOUN
cana-3637	256	17	files	file	NOUN
cana-3637	256	18	,	,	PUNCT
cana-3637	256	19	device	device	NOUN
cana-3637	256	20	sensor	sensor	NOUN
cana-3637	256	21	data	datum	NOUN
cana-3637	256	22	,	,	PUNCT
cana-3637	256	23	and	and	CCONJ
cana-3637	256	24	internet	internet	NOUN
cana-3637	256	25	browsing	browse	VERB
cana-3637	256	26	history	history	NOUN
cana-3637	256	27	to	to	PART
cana-3637	256	28	give	give	VERB
cana-3637	256	29	a	a	DET
cana-3637	256	30	better	well	ADJ
cana-3637	256	31	view	view	NOUN
cana-3637	256	32	of	of	ADP
cana-3637	256	33	user	user	NOUN
cana-3637	256	34	behavior	behavior	NOUN
cana-3637	256	35	in	in	ADP
cana-3637	256	36	forensic	forensic	ADJ
cana-3637	256	37	analysis	analysis	NOUN
cana-3637	256	38	.	.	PUNCT
cana-3637	257	1	another	another	DET
cana-3637	257	2	possible	possible	ADJ
cana-3637	257	3	enhancement	enhancement	NOUN
cana-3637	257	4	that	that	PRON
cana-3637	257	5	could	could	AUX
cana-3637	257	6	be	be	AUX
cana-3637	257	7	included	include	VERB
cana-3637	257	8	in	in	ADP
cana-3637	257	9	this	this	DET
cana-3637	257	10	architecture	architecture	NOUN
cana-3637	257	11	is	be	AUX
cana-3637	257	12	the	the	DET
cana-3637	257	13	installation	installation	NOUN
cana-3637	257	14	of	of	ADP
cana-3637	257	15	an	an	DET
cana-3637	257	16	automated	automate	VERB
cana-3637	257	17	data	datum	NOUN
cana-3637	257	18	anomaly	anomaly	NOUN
cana-3637	257	19	detection	detection	NOUN
cana-3637	257	20	system	system	NOUN
cana-3637	257	21	within	within	ADP
cana-3637	257	22	the	the	DET
cana-3637	257	23	preprocessing	preprocessing	NOUN
cana-3637	257	24	unit	unit	NOUN
cana-3637	257	25	to	to	PART
cana-3637	257	26	assist	assist	VERB
cana-3637	257	27	in	in	ADP
cana-3637	257	28	real	real	ADJ
cana-3637	257	29	-	-	PUNCT
cana-3637	257	30	time	time	NOUN
cana-3637	257	31	anomaly	anomaly	NOUN
cana-3637	257	32	detection	detection	NOUN
cana-3637	257	33	for	for	ADP
cana-3637	257	34	mobile	mobile	ADJ
cana-3637	257	35	streaming	streaming	NOUN
cana-3637	257	36	data	datum	NOUN
cana-3637	257	37	,	,	PUNCT
cana-3637	257	38	which	which	PRON
cana-3637	257	39	can	can	AUX
cana-3637	257	40	further	far	ADV
cana-3637	257	41	perform	perform	VERB
cana-3637	257	42	proactive	proactive	ADJ
cana-3637	257	43	analysis	analysis	NOUN
cana-3637	257	44	.	.	PUNCT
cana-3637	258	1	some	some	DET
cana-3637	258	2	other	other	ADJ
cana-3637	258	3	optimization	optimization	NOUN
cana-3637	258	4	techniques	technique	NOUN
cana-3637	258	5	might	might	AUX
cana-3637	258	6	also	also	ADV
cana-3637	258	7	be	be	AUX
cana-3637	258	8	used	use	VERB
cana-3637	258	9	to	to	PART
cana-3637	258	10	further	far	ADV
cana-3637	258	11	reduce	reduce	VERB
cana-3637	258	12	convergence	convergence	NOUN
cana-3637	258	13	time	time	NOUN
cana-3637	258	14	,	,	PUNCT
cana-3637	258	15	especially	especially	ADV
cana-3637	258	16	over	over	ADP
cana-3637	258	17	high	high	ADJ
cana-3637	258	18	-	-	PUNCT
cana-3637	258	19	dimensional	dimensional	ADJ
cana-3637	258	20	data	datum	NOUN
cana-3637	258	21	or	or	CCONJ
cana-3637	258	22	on	on	ADP
cana-3637	258	23	machines	machine	NOUN
cana-3637	258	24	with	with	ADP
cana-3637	258	25	fewer	few	ADJ
cana-3637	258	26	computation	computation	NOUN
cana-3637	258	27	powers	power	NOUN
cana-3637	258	28	.	.	PUNCT
cana-3637	259	1	more	more	ADJ
cana-3637	259	2	extensions	extension	NOUN
cana-3637	259	3	to	to	ADP
cana-3637	259	4	the	the	DET
cana-3637	259	5	interpretability	interpretability	NOUN
cana-3637	259	6	of	of	ADP
cana-3637	259	7	shap	shap	NOUN
cana-3637	259	8	would	would	AUX
cana-3637	259	9	be	be	AUX
cana-3637	259	10	advanced	advanced	ADJ
cana-3637	259	11	causal	causal	ADJ
cana-3637	259	12	inference	inference	NOUN
cana-3637	259	13	techniques	technique	NOUN
cana-3637	259	14	that	that	PRON
cana-3637	259	15	would	would	AUX
cana-3637	259	16	make	make	VERB
cana-3637	259	17	forensic	forensic	ADJ
cana-3637	259	18	explanations	explanation	NOUN
cana-3637	259	19	more	more	ADV
cana-3637	259	20	reliable	reliable	ADJ
cana-3637	259	21	,	,	PUNCT
cana-3637	259	22	and	and	CCONJ
cana-3637	259	23	the	the	DET
cana-3637	259	24	model	model	NOUN
cana-3637	259	25	could	could	AUX
cana-3637	259	26	provide	provide	VERB
cana-3637	259	27	feature	feature	NOUN
cana-3637	259	28	importance	importance	NOUN
cana-3637	259	29	and	and	CCONJ
cana-3637	259	30	causal	causal	ADJ
cana-3637	259	31	relationships	relationship	NOUN
cana-3637	259	32	within	within	ADP
cana-3637	259	33	samples	sample	NOUN
cana-3637	259	34	of	of	ADP
cana-3637	259	35	mobile	mobile	ADJ
cana-3637	259	36	data	datum	NOUN
cana-3637	259	37	.	.	PUNCT
cana-3637	260	1	the	the	DET
cana-3637	260	2	future	future	ADJ
cana-3637	260	3	direction	direction	NOUN
cana-3637	260	4	should	should	AUX
cana-3637	260	5	expand	expand	VERB
cana-3637	260	6	the	the	DET
cana-3637	260	7	scope	scope	NOUN
cana-3637	260	8	of	of	ADP
cana-3637	260	9	application	application	NOUN
cana-3637	260	10	in	in	ADP
cana-3637	260	11	the	the	DET
cana-3637	260	12	framework	framework	NOUN
cana-3637	260	13	,	,	PUNCT
cana-3637	260	14	evolving	evolve	VERB
cana-3637	260	15	over	over	ADP
cana-3637	260	16	time	time	NOUN
cana-3637	260	17	with	with	ADP
cana-3637	260	18	the	the	DET
cana-3637	260	19	mobile	mobile	ADJ
cana-3637	260	20	data	datum	NOUN
cana-3637	260	21	landscapes	landscape	NOUN
cana-3637	260	22	.	.	PUNCT
cana-3637	261	1	this	this	DET
cana-3637	261	2	way	way	NOUN
cana-3637	261	3	,	,	PUNCT
cana-3637	261	4	processes	process	NOUN
cana-3637	261	5	in	in	ADP
cana-3637	261	6	high	high	ADJ
cana-3637	261	7	-	-	PUNCT
cana-3637	261	8	stakes	stake	NOUN
cana-3637	261	9	decision	decision	NOUN
cana-3637	261	10	-	-	PUNCT
cana-3637	261	11	making	making	NOUN
cana-3637	261	12	are	be	AUX
cana-3637	261	13	equipped	equip	VERB
cana-3637	261	14	with	with	ADP
cana-3637	261	15	powerful	powerful	ADJ
cana-3637	261	16	yet	yet	CCONJ
cana-3637	261	17	interpretable	interpretable	ADJ
cana-3637	261	18	tools	tool	NOUN
cana-3637	261	19	for	for	ADP
cana-3637	261	20	forensic	forensic	ADJ
cana-3637	261	21	analysts	analyst	NOUN
cana-3637	261	22	.	.	PUNCT
cana-3637	262	1	references	reference	NOUN
cana-3637	262	2	[	[	X
cana-3637	262	3	1	1	NUM
cana-3637	262	4	]	]	PUNCT
cana-3637	262	5	cao	cao	PROPN
cana-3637	262	6	,	,	PUNCT
cana-3637	262	7	j.	j.	PROPN
cana-3637	262	8	,	,	PUNCT
cana-3637	262	9	wei	wei	PROPN
cana-3637	262	10	,	,	PUNCT
cana-3637	262	11	x.	x.	PROPN
cana-3637	262	12	,	,	PUNCT
cana-3637	262	13	liu	liu	PROPN
cana-3637	262	14	,	,	PUNCT
cana-3637	262	15	mf	mf	PROPN
cana-3637	262	16	.	.	PROPN
cana-3637	262	17	et	et	PROPN
cana-3637	262	18	al	al	PROPN
cana-3637	262	19	.	.	PUNCT
cana-3637	262	20	forensic	forensic	ADJ
cana-3637	262	21	identification	identification	NOUN
cana-3637	262	22	of	of	ADP
cana-3637	262	23	sudden	sudden	ADJ
cana-3637	262	24	cardiac	cardiac	ADJ
cana-3637	262	25	death	death	NOUN
cana-3637	262	26	:	:	PUNCT
cana-3637	262	27	a	a	DET
cana-3637	262	28	new	new	ADJ
cana-3637	262	29	approach	approach	NOUN
cana-3637	262	30	combining	combine	VERB
cana-3637	262	31	metabolomics	metabolomic	NOUN
cana-3637	262	32	and	and	CCONJ
cana-3637	262	33	machine	machine	NOUN
cana-3637	262	34	learning	learning	NOUN
cana-3637	262	35	.	.	PUNCT
cana-3637	263	1	anal	anal	ADJ
cana-3637	263	2	bioanal	bioanal	ADJ
cana-3637	263	3	chem	chem	NOUN
cana-3637	263	4	415	415	NUM
cana-3637	263	5	,	,	PUNCT
cana-3637	263	6	2291–2305	2291–2305	NUM
cana-3637	263	7	(	(	PUNCT
cana-3637	263	8	2023	2023	NUM
cana-3637	263	9	)	)	PUNCT
cana-3637	263	10	.	.	PUNCT
cana-3637	264	1	https://doi.org/10.1007/s00216023-04651-5	https://doi.org/10.1007/s00216023-04651-5	PROPN
cana-3637	264	2	[	[	X
cana-3637	264	3	2	2	NUM
cana-3637	264	4	]	]	X
cana-3637	264	5	ghosh	ghosh	PROPN
cana-3637	264	6	,	,	PUNCT
cana-3637	264	7	s.	s.	PROPN
cana-3637	264	8	,	,	PUNCT
cana-3637	264	9	ponduru	ponduru	PROPN
cana-3637	264	10	,	,	PUNCT
cana-3637	264	11	j.	j.	PROPN
cana-3637	264	12	,	,	PUNCT
cana-3637	264	13	thatikonda	thatikonda	PROPN
cana-3637	264	14	,	,	PUNCT
cana-3637	264	15	m.	m.	NOUN
cana-3637	264	16	et	et	PROPN
cana-3637	264	17	al	al	PROPN
cana-3637	264	18	.	.	PUNCT
cana-3637	265	1	leveraging	leverage	VERB
cana-3637	265	2	machine	machine	NOUN
cana-3637	265	3	learning	learning	NOUN
cana-3637	265	4	for	for	ADP
cana-3637	265	5	proactive	proactive	ADJ
cana-3637	265	6	detection	detection	NOUN
cana-3637	265	7	and	and	CCONJ
cana-3637	265	8	mitigation	mitigation	NOUN
cana-3637	265	9	of	of	ADP
cana-3637	265	10	android	android	PROPN
cana-3637	265	11	rat	rat	PROPN
cana-3637	265	12	.	.	PROPN
cana-3637	265	13	innovations	innovation	NOUN
cana-3637	265	14	syst	syst	PROPN
cana-3637	265	15	softw	softw	PROPN
cana-3637	265	16	eng	eng	PROPN
cana-3637	265	17	(	(	PUNCT
cana-3637	265	18	2024	2024	NUM
cana-3637	265	19	)	)	PUNCT
cana-3637	265	20	.	.	PUNCT
cana-3637	266	1	https://doi.org/10.1007/s11334-024-00572-3	https://doi.org/10.1007/s11334-024-00572-3	NUM
cana-3637	267	1	[	[	X
cana-3637	267	2	3	3	NUM
cana-3637	267	3	]	]	X
cana-3637	267	4	kirubavathi	kirubavathi	NOUN
cana-3637	267	5	,	,	PUNCT
cana-3637	267	6	g.	g.	PROPN
cana-3637	267	7	,	,	PUNCT
cana-3637	267	8	anne	anne	PROPN
cana-3637	267	9	,	,	PUNCT
cana-3637	267	10	w.r	w.r	PROPN
cana-3637	267	11	.	.	PROPN
cana-3637	267	12	behavioral	behavioral	ADJ
cana-3637	267	13	based	base	VERB
cana-3637	267	14	detection	detection	NOUN
cana-3637	267	15	of	of	ADP
cana-3637	267	16	android	android	PROPN
cana-3637	267	17	ransomware	ransomware	NOUN
cana-3637	267	18	using	use	VERB
cana-3637	267	19	machine	machine	NOUN
cana-3637	267	20	learning	learn	VERB
cana-3637	267	21	techniques	technique	NOUN
cana-3637	267	22	.	.	PUNCT
cana-3637	268	1	int	int	PROPN
cana-3637	268	2	j	j	PROPN
cana-3637	268	3	syst	syst	PROPN
cana-3637	268	4	assur	assur	PROPN
cana-3637	268	5	eng	eng	PROPN
cana-3637	268	6	manag	manag	VERB
cana-3637	268	7	15	15	NUM
cana-3637	268	8	,	,	PUNCT
cana-3637	268	9	4404–4425	4404–4425	NUM
cana-3637	268	10	(	(	PUNCT
cana-3637	268	11	2024	2024	NUM
cana-3637	268	12	)	)	PUNCT
cana-3637	268	13	.	.	PUNCT
cana-3637	269	1	https://doi.org/10.1007/s13198-024-02439-z	https://doi.org/10.1007/s13198-024-02439-z	VERB
cana-3637	270	1	[	[	X
cana-3637	270	2	4	4	NUM
cana-3637	270	3	]	]	SYM
cana-3637	270	4	min	min	NOUN
cana-3637	270	5	,	,	PUNCT
cana-3637	270	6	m.	m.	NOUN
cana-3637	270	7	,	,	PUNCT
cana-3637	270	8	lee	lee	PROPN
cana-3637	270	9	,	,	PUNCT
cana-3637	270	10	d.a	d.a	PROPN
cana-3637	270	11	.	.	NOUN
cana-3637	270	12	illegal	illegal	ADJ
cana-3637	270	13	online	online	ADJ
cana-3637	270	14	gambling	gambling	NOUN
cana-3637	270	15	site	site	NOUN
cana-3637	270	16	detection	detection	NOUN
cana-3637	270	17	using	use	VERB
cana-3637	270	18	multiple	multiple	ADJ
cana-3637	270	19	resource	resource	NOUN
cana-3637	270	20	-	-	PUNCT
cana-3637	270	21	oriented	orient	VERB
cana-3637	270	22	machine	machine	NOUN
cana-3637	270	23	learning	learning	NOUN
cana-3637	270	24	.	.	PUNCT
cana-3637	271	1	j	j	PROPN
cana-3637	271	2	gambl	gambl	NOUN
cana-3637	271	3	stud	stud	NOUN
cana-3637	271	4	(	(	PUNCT
cana-3637	271	5	2024	2024	NUM
cana-3637	271	6	)	)	PUNCT
cana-3637	271	7	.	.	PUNCT
cana-3637	272	1	https://doi.org/10.1007/s10899-024-10337-z	https://doi.org/10.1007/s10899-024-10337-z	VERB
cana-3637	273	1	[	[	X
cana-3637	273	2	5	5	NUM
cana-3637	273	3	]	]	PUNCT
cana-3637	273	4	moubarak	moubarak	NOUN
cana-3637	273	5	,	,	PUNCT
cana-3637	273	6	n.n.i	n.n.i	PROPN
cana-3637	273	7	.	.	PROPN
cana-3637	273	8	,	,	PUNCT
cana-3637	273	9	omar	omar	PROPN
cana-3637	273	10	,	,	PUNCT
cana-3637	273	11	n.m.m	n.m.m	PROPN
cana-3637	273	12	.	.	PROPN
cana-3637	273	13	&	&	CCONJ
cana-3637	273	14	youssef	youssef	PROPN
cana-3637	273	15	,	,	PUNCT
cana-3637	273	16	v.n	v.n	PROPN
cana-3637	273	17	.	.	PROPN
cana-3637	273	18	smartphone	smartphone	NOUN
cana-3637	273	19	-	-	PUNCT
cana-3637	273	20	sensor	sensor	NOUN
cana-3637	273	21	-	-	PUNCT
cana-3637	273	22	based	base	VERB
cana-3637	273	23	human	human	ADJ
cana-3637	273	24	activities	activity	NOUN
cana-3637	273	25	classification	classification	NOUN
cana-3637	273	26	for	for	ADP
cana-3637	273	27	forensics	forensic	NOUN
cana-3637	273	28	:	:	PUNCT
cana-3637	273	29	a	a	DET
cana-3637	273	30	machine	machine	NOUN
cana-3637	273	31	learning	learn	VERB
cana-3637	273	32	approach	approach	NOUN
cana-3637	273	33	.	.	PUNCT
cana-3637	274	1	journal	journal	NOUN
cana-3637	274	2	of	of	ADP
cana-3637	274	3	electrical	electrical	ADJ
cana-3637	274	4	systems	system	NOUN
cana-3637	274	5	and	and	CCONJ
cana-3637	274	6	inf	inf	ADJ
cana-3637	274	7	technol	technol	NOUN
cana-3637	274	8	11	11	NUM
cana-3637	274	9	,	,	PUNCT
cana-3637	274	10	33	33	NUM
cana-3637	274	11	(	(	PUNCT
cana-3637	274	12	2024	2024	NUM
cana-3637	274	13	)	)	PUNCT
cana-3637	274	14	.	.	PUNCT
cana-3637	275	1	https://doi.org/10.1186/s43067-024-00157-x	https://doi.org/10.1186/s43067-024-00157-x	VERB
cana-3637	275	2	communications	communication	NOUN
cana-3637	275	3	on	on	ADP
cana-3637	275	4	applied	apply	VERB
cana-3637	275	5	nonlinear	nonlinear	ADJ
cana-3637	275	6	analysis	analysis	NOUN
cana-3637	275	7	issn	issn	NOUN
cana-3637	275	8	:	:	PUNCT
cana-3637	275	9	1074	1074	NUM
cana-3637	275	10	-	-	PUNCT
cana-3637	275	11	133x	133x	NUM
cana-3637	275	12	vol	vol	NOUN
cana-3637	275	13	32	32	NUM
cana-3637	275	14	no	no	NOUN
cana-3637	275	15	.	.	PUNCT
cana-3637	276	1	8s	8s	PROPN
cana-3637	276	2	(	(	PUNCT
cana-3637	276	3	2025	2025	NUM
cana-3637	276	4	)	)	PUNCT
cana-3637	276	5	231	231	NUM
cana-3637	276	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3637	277	1	[	[	X
cana-3637	277	2	6	6	NUM
cana-3637	277	3	]	]	PUNCT
cana-3637	277	4	spranger	spranger	NOUN
cana-3637	277	5	,	,	PUNCT
cana-3637	277	6	m.	m.	NOUN
cana-3637	277	7	,	,	PUNCT
cana-3637	277	8	xi	xi	PROPN
cana-3637	277	9	,	,	PUNCT
cana-3637	277	10	j.	j.	PROPN
cana-3637	277	11	,	,	PUNCT
cana-3637	277	12	jaeckel	jaeckel	PROPN
cana-3637	277	13	,	,	PUNCT
cana-3637	278	1	l.	l.	PROPN
cana-3637	278	2	et	et	PROPN
cana-3637	278	3	al	al	PROPN
cana-3637	278	4	.	.	PROPN
cana-3637	278	5	mona	mona	PROPN
cana-3637	278	6	:	:	PUNCT
cana-3637	278	7	a	a	DET
cana-3637	278	8	forensic	forensic	ADJ
cana-3637	278	9	analysis	analysis	NOUN
cana-3637	278	10	platform	platform	NOUN
cana-3637	278	11	for	for	ADP
cana-3637	278	12	mobile	mobile	ADJ
cana-3637	278	13	communication	communication	NOUN
cana-3637	278	14	.	.	PUNCT
cana-3637	279	1	künstl	künstl	PROPN
cana-3637	279	2	intell	intell	PROPN
cana-3637	279	3	36	36	NUM
cana-3637	279	4	,	,	PUNCT
cana-3637	279	5	163–169	163–169	NUM
cana-3637	279	6	(	(	PUNCT
cana-3637	279	7	2022	2022	NUM
cana-3637	279	8	)	)	PUNCT
cana-3637	279	9	.	.	PUNCT
cana-3637	280	1	https://doi.org/10.1007/s13218-022-00762-w	https://doi.org/10.1007/s13218-022-00762-w	PROPN
cana-3637	281	1	[	[	X
cana-3637	281	2	7	7	NUM
cana-3637	281	3	]	]	X
cana-3637	281	4	zimmermann	zimmermann	PROPN
cana-3637	281	5	,	,	PUNCT
cana-3637	281	6	n.	n.	NOUN
cana-3637	281	7	,	,	PUNCT
cana-3637	281	8	sieberth	sieberth	NOUN
cana-3637	281	9	,	,	PUNCT
cana-3637	281	10	t.	t.	PROPN
cana-3637	281	11	&	&	CCONJ
cana-3637	281	12	dobay	dobay	PROPN
cana-3637	281	13	,	,	PUNCT
cana-3637	281	14	a.	a.	NOUN
cana-3637	281	15	automated	automate	VERB
cana-3637	281	16	wound	wound	NOUN
cana-3637	281	17	segmentation	segmentation	NOUN
cana-3637	281	18	and	and	CCONJ
cana-3637	281	19	classification	classification	NOUN
cana-3637	281	20	of	of	ADP
cana-3637	281	21	seven	seven	NUM
cana-3637	281	22	common	common	ADJ
cana-3637	281	23	injuries	injury	NOUN
cana-3637	281	24	in	in	ADP
cana-3637	281	25	forensic	forensic	ADJ
cana-3637	281	26	medicine	medicine	NOUN
cana-3637	281	27	.	.	PUNCT
cana-3637	282	1	forensic	forensic	ADJ
cana-3637	282	2	sci	sci	PROPN
cana-3637	282	3	med	med	PROPN
cana-3637	282	4	pathol	pathol	NOUN
cana-3637	282	5	20	20	NUM
cana-3637	282	6	,	,	PUNCT
cana-3637	282	7	443–451	443–451	NUM
cana-3637	282	8	(	(	PUNCT
cana-3637	282	9	2024	2024	NUM
cana-3637	282	10	)	)	PUNCT
cana-3637	282	11	.	.	PUNCT
cana-3637	283	1	https://doi.org/10.1007/s12024-02300668-5	https://doi.org/10.1007/s12024-02300668-5	PROPN
cana-3637	284	1	[	[	X
cana-3637	284	2	8	8	NUM
cana-3637	284	3	]	]	X
cana-3637	284	4	casey	casey	NOUN
cana-3637	284	5	,	,	PUNCT
cana-3637	284	6	e.	e.	PROPN
cana-3637	284	7	,	,	PUNCT
cana-3637	284	8	jocz	jocz	PROPN
cana-3637	284	9	,	,	PUNCT
cana-3637	284	10	j.	j.	PROPN
cana-3637	284	11	,	,	PUNCT
cana-3637	284	12	peterson	peterson	PROPN
cana-3637	284	13	,	,	PUNCT
cana-3637	284	14	k.a	k.a	PROPN
cana-3637	284	15	.	.	PROPN
cana-3637	284	16	et	et	PROPN
cana-3637	284	17	al	al	PROPN
cana-3637	284	18	.	.	PUNCT
cana-3637	284	19	motivating	motivate	VERB
cana-3637	284	20	youth	youth	NOUN
cana-3637	284	21	to	to	PART
cana-3637	284	22	learn	learn	VERB
cana-3637	284	23	stem	stem	NOUN
cana-3637	284	24	through	through	ADP
cana-3637	284	25	a	a	DET
cana-3637	284	26	gender	gender	NOUN
cana-3637	284	27	inclusive	inclusive	ADJ
cana-3637	284	28	digital	digital	ADJ
cana-3637	284	29	forensic	forensic	ADJ
cana-3637	284	30	science	science	NOUN
cana-3637	284	31	program	program	NOUN
cana-3637	284	32	.	.	PUNCT
cana-3637	285	1	smart	smart	ADJ
cana-3637	285	2	learn	learn	NOUN
cana-3637	285	3	.	.	PUNCT
cana-3637	286	1	environ	environ	X
cana-3637	286	2	.	.	PROPN
cana-3637	287	1	10	10	NUM
cana-3637	287	2	,	,	PUNCT
cana-3637	287	3	2	2	NUM
cana-3637	287	4	(	(	PUNCT
cana-3637	287	5	2023	2023	NUM
cana-3637	287	6	)	)	PUNCT
cana-3637	287	7	.	.	PUNCT
cana-3637	288	1	https://doi.org/10.1186/s40561-022-00213-x	https://doi.org/10.1186/s40561-022-00213-x	NOUN
cana-3637	289	1	[	[	X
cana-3637	289	2	9	9	NUM
cana-3637	289	3	]	]	X
cana-3637	289	4	castelo	castelo	PROPN
cana-3637	289	5	gómez	gómez	NOUN
cana-3637	289	6	,	,	PUNCT
cana-3637	289	7	j.m	j.m	PROPN
cana-3637	289	8	.	.	PROPN
cana-3637	289	9	,	,	PUNCT
cana-3637	289	10	ruiz	ruiz	NOUN
cana-3637	289	11	-	-	PUNCT
cana-3637	289	12	villafranca	villafranca	NOUN
cana-3637	289	13	,	,	PUNCT
cana-3637	289	14	s.	s.	PROPN
cana-3637	289	15	integrating	integrate	VERB
cana-3637	289	16	the	the	DET
cana-3637	289	17	edge	edge	NOUN
cana-3637	289	18	computing	computing	NOUN
cana-3637	289	19	paradigm	paradigm	NOUN
cana-3637	289	20	into	into	ADP
cana-3637	289	21	the	the	DET
cana-3637	289	22	development	development	NOUN
cana-3637	289	23	of	of	ADP
cana-3637	289	24	iot	iot	ADJ
cana-3637	289	25	forensic	forensic	ADJ
cana-3637	289	26	methodologies	methodology	NOUN
cana-3637	289	27	.	.	PUNCT
cana-3637	290	1	int	int	NOUN
cana-3637	290	2	.	.	PUNCT
cana-3637	291	1	j.	j.	PROPN
cana-3637	291	2	inf	inf	PROPN
cana-3637	291	3	.	.	PROPN
cana-3637	291	4	secur	secur	PROPN
cana-3637	291	5	.	.	PUNCT
cana-3637	292	1	23	23	NUM
cana-3637	292	2	,	,	PUNCT
cana-3637	292	3	1093–1116	1093–1116	NUM
cana-3637	292	4	(	(	PUNCT
cana-3637	292	5	2024	2024	NUM
cana-3637	292	6	)	)	PUNCT
cana-3637	292	7	.	.	PUNCT
cana-3637	293	1	https://doi.org/10.1007/s10207-023-00776-x	https://doi.org/10.1007/s10207-023-00776-x	PROPN
cana-3637	293	2	[	[	X
cana-3637	293	3	10	10	NUM
cana-3637	293	4	]	]	X
cana-3637	293	5	zhang	zhang	PROPN
cana-3637	293	6	,	,	PUNCT
cana-3637	293	7	fy	fy	PROPN
cana-3637	293	8	.	.	PROPN
cana-3637	293	9	,	,	PUNCT
cana-3637	293	10	wang	wang	PROPN
cana-3637	293	11	,	,	PUNCT
cana-3637	293	12	ll	ll	PROPN
cana-3637	293	13	.	.	PROPN
cana-3637	293	14	,	,	PUNCT
cana-3637	293	15	dong	dong	PROPN
cana-3637	293	16	,	,	PUNCT
cana-3637	293	17	ww	ww	PROPN
cana-3637	293	18	.	.	PROPN
cana-3637	293	19	et	et	PROPN
cana-3637	293	20	al	al	PROPN
cana-3637	293	21	.	.	PUNCT
cana-3637	294	1	a	a	DET
cana-3637	294	2	preliminary	preliminary	ADJ
cana-3637	294	3	study	study	NOUN
cana-3637	294	4	on	on	ADP
cana-3637	294	5	early	early	ADJ
cana-3637	294	6	postmortem	postmortem	NOUN
cana-3637	294	7	submersion	submersion	NOUN
cana-3637	294	8	interval	interval	NOUN
cana-3637	294	9	(	(	PUNCT
cana-3637	294	10	pmsi	pmsi	NOUN
cana-3637	294	11	)	)	PUNCT
cana-3637	294	12	estimation	estimation	NOUN
cana-3637	294	13	and	and	CCONJ
cana-3637	294	14	cause	cause	NOUN
cana-3637	294	15	-	-	PUNCT
cana-3637	294	16	of	of	ADP
cana-3637	294	17	-	-	PUNCT
cana-3637	294	18	death	death	NOUN
cana-3637	294	19	discrimination	discrimination	NOUN
cana-3637	294	20	based	base	VERB
cana-3637	294	21	on	on	ADP
cana-3637	294	22	nontargeted	nontargete	VERB
cana-3637	294	23	metabolomics	metabolomic	NOUN
cana-3637	294	24	and	and	CCONJ
cana-3637	294	25	machine	machine	NOUN
cana-3637	294	26	learning	learn	VERB
cana-3637	294	27	algorithms	algorithm	NOUN
cana-3637	294	28	.	.	PUNCT
cana-3637	295	1	int	int	NOUN
cana-3637	295	2	j	j	PROPN
cana-3637	295	3	legal	legal	ADJ
cana-3637	295	4	med	me	VERB
cana-3637	295	5	136	136	NUM
cana-3637	295	6	,	,	PUNCT
cana-3637	295	7	941–954	941–954	NUM
cana-3637	295	8	(	(	PUNCT
cana-3637	295	9	2022	2022	NUM
cana-3637	295	10	)	)	PUNCT
cana-3637	295	11	.	.	PUNCT
cana-3637	296	1	https://doi.org/10.1007/s00414-022-02783-4	https://doi.org/10.1007/s00414-022-02783-4	X
cana-3637	297	1	[	[	X
cana-3637	297	2	11	11	NUM
cana-3637	297	3	]	]	X
cana-3637	297	4	seo	seo	NOUN
cana-3637	297	5	,	,	PUNCT
cana-3637	297	6	s.	s.	PROPN
cana-3637	297	7	,	,	PUNCT
cana-3637	297	8	seok	seok	PROPN
cana-3637	297	9	,	,	PUNCT
cana-3637	297	10	b.	b.	PROPN
cana-3637	297	11	&	&	CCONJ
cana-3637	297	12	lee	lee	PROPN
cana-3637	297	13	,	,	PUNCT
cana-3637	297	14	c.	c.	PROPN
cana-3637	297	15	digital	digital	PROPN
cana-3637	297	16	forensic	forensic	ADJ
cana-3637	297	17	investigation	investigation	NOUN
cana-3637	297	18	framework	framework	NOUN
cana-3637	297	19	for	for	ADP
cana-3637	297	20	the	the	DET
cana-3637	297	21	metaverse	metaverse	NOUN
cana-3637	297	22	.	.	PUNCT
cana-3637	298	1	j	j	PROPN
cana-3637	298	2	supercomput	supercomput	VERB
cana-3637	298	3	79	79	NUM
cana-3637	298	4	,	,	PUNCT
cana-3637	298	5	9467	9467	NUM
cana-3637	298	6	–	–	PUNCT
cana-3637	298	7	9485	9485	NUM
cana-3637	298	8	(	(	PUNCT
cana-3637	298	9	2023	2023	NUM
cana-3637	298	10	)	)	PUNCT
cana-3637	298	11	.	.	PUNCT
cana-3637	299	1	https://doi.org/10.1007/s11227-023-05045-1	https://doi.org/10.1007/s11227-023-05045-1	PROPN
cana-3637	300	1	[	[	X
cana-3637	300	2	12	12	NUM
cana-3637	300	3	]	]	X
cana-3637	300	4	mishra	mishra	PROPN
cana-3637	300	5	,	,	PUNCT
cana-3637	300	6	m.	m.	NOUN
cana-3637	300	7	,	,	PUNCT
cana-3637	300	8	jain	jain	PROPN
cana-3637	300	9	,	,	PUNCT
cana-3637	300	10	n.k	n.k	PROPN
cana-3637	300	11	.	.	PROPN
cana-3637	300	12	&	&	CCONJ
cana-3637	300	13	kumar	kumar	PROPN
cana-3637	300	14	,	,	PUNCT
cana-3637	300	15	a.	a.	NOUN
cana-3637	300	16	reviewing	review	VERB
cana-3637	300	17	image	image	NOUN
cana-3637	300	18	data	datum	NOUN
cana-3637	300	19	:	:	PUNCT
cana-3637	300	20	detecting	detect	VERB
cana-3637	300	21	forgery	forgery	NOUN
cana-3637	300	22	using	use	VERB
cana-3637	300	23	a	a	DET
cana-3637	300	24	robust	robust	ADJ
cana-3637	300	25	forensic	forensic	ADJ
cana-3637	300	26	method	method	NOUN
cana-3637	300	27	.	.	PUNCT
cana-3637	301	1	sn	sn	PROPN
cana-3637	301	2	comput	comput	PROPN
cana-3637	301	3	.	.	PUNCT
cana-3637	302	1	sci	sci	PROPN
cana-3637	302	2	.	.	PROPN
cana-3637	303	1	4	4	NUM
cana-3637	303	2	,	,	PUNCT
cana-3637	303	3	856	856	NUM
cana-3637	303	4	(	(	PUNCT
cana-3637	303	5	2023	2023	NUM
cana-3637	303	6	)	)	PUNCT
cana-3637	303	7	.	.	PUNCT
cana-3637	304	1	https://doi.org/10.1007/s42979-023-02287-x	https://doi.org/10.1007/s42979-023-02287-x	PROPN
cana-3637	304	2	[	[	X
cana-3637	304	3	13	13	NUM
cana-3637	304	4	]	]	PUNCT
cana-3637	304	5	nerurkar	nerurkar	NOUN
cana-3637	304	6	,	,	PUNCT
cana-3637	304	7	p.	p.	NOUN
cana-3637	304	8	illegal	illegal	ADJ
cana-3637	304	9	activity	activity	NOUN
cana-3637	304	10	detection	detection	NOUN
cana-3637	304	11	on	on	ADP
cana-3637	304	12	bitcoin	bitcoin	ADJ
cana-3637	304	13	transaction	transaction	NOUN
cana-3637	304	14	using	use	VERB
cana-3637	304	15	deep	deep	ADJ
cana-3637	304	16	learning	learning	NOUN
cana-3637	304	17	.	.	PUNCT
cana-3637	305	1	soft	soft	ADJ
cana-3637	305	2	comput	comput	NOUN
cana-3637	305	3	27	27	NUM
cana-3637	305	4	,	,	PUNCT
cana-3637	305	5	5503–5520	5503–5520	NUM
cana-3637	305	6	(	(	PUNCT
cana-3637	305	7	2023	2023	NUM
cana-3637	305	8	)	)	PUNCT
cana-3637	305	9	.	.	PUNCT
cana-3637	306	1	https://doi.org/10.1007/s00500-022-07779-1	https://doi.org/10.1007/s00500-022-07779-1	PRON
cana-3637	307	1	[	[	X
cana-3637	307	2	14	14	NUM
cana-3637	307	3	]	]	X
cana-3637	307	4	diwan	diwan	PROPN
cana-3637	307	5	,	,	PUNCT
cana-3637	307	6	a.	a.	PROPN
cana-3637	307	7	,	,	PUNCT
cana-3637	307	8	sonkar	sonkar	NOUN
cana-3637	307	9	,	,	PUNCT
cana-3637	307	10	u.	u.	PROPN
cana-3637	307	11	visualizing	visualize	VERB
cana-3637	307	12	the	the	DET
cana-3637	307	13	truth	truth	NOUN
cana-3637	307	14	:	:	PUNCT
cana-3637	307	15	a	a	DET
cana-3637	307	16	survey	survey	NOUN
cana-3637	307	17	of	of	ADP
cana-3637	307	18	multimedia	multimedia	ADJ
cana-3637	307	19	forensic	forensic	ADJ
cana-3637	307	20	analysis	analysis	NOUN
cana-3637	307	21	.	.	PUNCT
cana-3637	308	1	multimed	multime	VERB
cana-3637	308	2	tools	tool	NOUN
cana-3637	308	3	appl	appl	NOUN
cana-3637	308	4	83	83	NUM
cana-3637	308	5	,	,	PUNCT
cana-3637	308	6	47979–48006	47979–48006	NUM
cana-3637	308	7	(	(	PUNCT
cana-3637	308	8	2024	2024	NUM
cana-3637	308	9	)	)	PUNCT
cana-3637	308	10	.	.	PUNCT
cana-3637	309	1	https://doi.org/10.1007/s11042-023-17475-3	https://doi.org/10.1007/s11042-023-17475-3	X
cana-3637	310	1	[	[	X
cana-3637	310	2	15	15	NUM
cana-3637	310	3	]	]	X
cana-3637	310	4	rajeev	rajeev	PROPN
cana-3637	310	5	,	,	PUNCT
cana-3637	310	6	a.	a.	PROPN
cana-3637	310	7	,	,	PUNCT
cana-3637	310	8	raviraj	raviraj	ADJ
cana-3637	310	9	,	,	PUNCT
cana-3637	310	10	p.	p.	NOUN
cana-3637	310	11	an	an	DET
cana-3637	310	12	insightful	insightful	ADJ
cana-3637	310	13	analysis	analysis	NOUN
cana-3637	310	14	of	of	ADP
cana-3637	310	15	digital	digital	ADJ
cana-3637	310	16	forensics	forensic	NOUN
cana-3637	310	17	effects	effect	NOUN
cana-3637	310	18	on	on	ADP
cana-3637	310	19	networks	network	NOUN
cana-3637	310	20	and	and	CCONJ
cana-3637	310	21	multimedia	multimedia	NOUN
cana-3637	310	22	applications	application	NOUN
cana-3637	310	23	.	.	PUNCT
cana-3637	311	1	sn	sn	PROPN
cana-3637	311	2	comput	comput	PROPN
cana-3637	311	3	.	.	PUNCT
cana-3637	312	1	sci	sci	PROPN
cana-3637	312	2	.	.	PROPN
cana-3637	313	1	4	4	NUM
cana-3637	313	2	,	,	PUNCT
cana-3637	313	3	186	186	NUM
cana-3637	313	4	(	(	PUNCT
cana-3637	313	5	2023	2023	NUM
cana-3637	313	6	)	)	PUNCT
cana-3637	313	7	.	.	PUNCT
cana-3637	314	1	https://doi.org/10.1007/s42979-022-01599-8	https://doi.org/10.1007/s42979-022-01599-8	PUNCT
cana-3637	315	1	[	[	X
cana-3637	315	2	16	16	NUM
cana-3637	315	3	]	]	X
cana-3637	315	4	shukla	shukla	NOUN
cana-3637	315	5	,	,	PUNCT
cana-3637	315	6	d.k	d.k	PROPN
cana-3637	315	7	.	.	PROPN
cana-3637	315	8	,	,	PUNCT
cana-3637	315	9	bansal	bansal	NOUN
cana-3637	315	10	,	,	PUNCT
cana-3637	315	11	a.	a.	PROPN
cana-3637	315	12	&	&	CCONJ
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cana-3637	315	16	a	a	DET
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cana-3637	315	18	on	on	ADP
cana-3637	315	19	digital	digital	ADJ
cana-3637	315	20	image	image	NOUN
cana-3637	315	21	forensic	forensic	ADJ
cana-3637	315	22	methods	method	NOUN
cana-3637	315	23	based	base	VERB
cana-3637	315	24	on	on	ADP
cana-3637	315	25	blind	blind	ADJ
cana-3637	315	26	forgery	forgery	NOUN
cana-3637	315	27	detection	detection	NOUN
cana-3637	315	28	.	.	PUNCT
cana-3637	316	1	multimed	multime	VERB
cana-3637	316	2	tools	tool	NOUN
cana-3637	316	3	appl	appl	NOUN
cana-3637	316	4	83	83	NUM
cana-3637	316	5	,	,	PUNCT
cana-3637	316	6	67871–67902	67871–67902	NUM
cana-3637	316	7	(	(	PUNCT
cana-3637	316	8	2024	2024	NUM
cana-3637	316	9	)	)	PUNCT
cana-3637	316	10	.	.	PUNCT
cana-3637	317	1	https://doi.org/10.1007/s11042-023-18090-y	https://doi.org/10.1007/s11042-023-18090-y	ADJ
cana-3637	317	2	[	[	X
cana-3637	317	3	17	17	NUM
cana-3637	317	4	]	]	X
cana-3637	317	5	kumar	kumar	PROPN
cana-3637	317	6	,	,	PUNCT
cana-3637	317	7	d.	d.	PROPN
cana-3637	317	8	,	,	PUNCT
cana-3637	317	9	pandey	pandey	PROPN
cana-3637	317	10	,	,	PUNCT
cana-3637	317	11	r.c	r.c	PROPN
cana-3637	317	12	.	.	PROPN
cana-3637	317	13	&	&	CCONJ
cana-3637	317	14	mishra	mishra	PROPN
cana-3637	317	15	,	,	PUNCT
cana-3637	317	16	a.k	a.k	PROPN
cana-3637	317	17	.	.	PUNCT
cana-3637	317	18	a	a	DET
cana-3637	317	19	review	review	NOUN
cana-3637	317	20	of	of	ADP
cana-3637	317	21	image	image	NOUN
cana-3637	317	22	features	feature	VERB
cana-3637	317	23	extraction	extraction	NOUN
cana-3637	317	24	techniques	technique	NOUN
cana-3637	317	25	and	and	CCONJ
cana-3637	317	26	their	their	PRON
cana-3637	317	27	applications	application	NOUN
cana-3637	317	28	in	in	ADP
cana-3637	317	29	image	image	NOUN
cana-3637	317	30	forensic	forensic	NOUN
cana-3637	317	31	.	.	PUNCT
cana-3637	318	1	multimed	multime	VERB
cana-3637	318	2	tools	tool	NOUN
cana-3637	318	3	appl	appl	NOUN
cana-3637	318	4	(	(	PUNCT
cana-3637	318	5	2024	2024	NUM
cana-3637	318	6	)	)	PUNCT
cana-3637	318	7	.	.	PUNCT
cana-3637	319	1	https://doi.org/10.1007/s11042-023-17950-x	https://doi.org/10.1007/s11042-023-17950-x	PROPN
cana-3637	320	1	[	[	X
cana-3637	320	2	18	18	NUM
cana-3637	320	3	]	]	PUNCT
cana-3637	320	4	hamzenejadi	hamzenejadi	NOUN
cana-3637	320	5	,	,	PUNCT
cana-3637	320	6	s.	s.	PROPN
cana-3637	320	7	,	,	PUNCT
cana-3637	320	8	ghazvini	ghazvini	PROPN
cana-3637	320	9	,	,	PUNCT
cana-3637	320	10	m.	m.	NOUN
cana-3637	320	11	&	&	CCONJ
cana-3637	320	12	hosseini	hosseini	PROPN
cana-3637	320	13	,	,	PUNCT
cana-3637	320	14	s.	s.	PROPN
cana-3637	320	15	mobile	mobile	PROPN
cana-3637	320	16	botnet	botnet	PROPN
cana-3637	320	17	detection	detection	NOUN
cana-3637	320	18	:	:	PUNCT
cana-3637	320	19	a	a	DET
cana-3637	320	20	comprehensive	comprehensive	ADJ
cana-3637	320	21	survey	survey	NOUN
cana-3637	320	22	.	.	PUNCT
cana-3637	321	1	int	int	NOUN
cana-3637	321	2	.	.	PUNCT
cana-3637	322	1	j.	j.	PROPN
cana-3637	322	2	inf	inf	PROPN
cana-3637	322	3	.	.	PROPN
cana-3637	322	4	secur	secur	PROPN
cana-3637	322	5	.	.	PUNCT
cana-3637	323	1	22	22	NUM
cana-3637	323	2	,	,	PUNCT
cana-3637	323	3	137–175	137–175	NUM
cana-3637	323	4	(	(	PUNCT
cana-3637	323	5	2023	2023	NUM
cana-3637	323	6	)	)	PUNCT
cana-3637	323	7	.	.	PUNCT
cana-3637	324	1	https://doi.org/10.1007/s10207-022-00624-4	https://doi.org/10.1007/s10207-022-00624-4	NUM
cana-3637	325	1	[	[	X
cana-3637	325	2	19	19	NUM
cana-3637	325	3	]	]	X
cana-3637	325	4	singh	singh	PROPN
cana-3637	325	5	,	,	PUNCT
cana-3637	325	6	s.	s.	PROPN
cana-3637	325	7	,	,	PUNCT
cana-3637	325	8	kumar	kumar	PROPN
cana-3637	325	9	,	,	PUNCT
cana-3637	325	10	r.	r.	PROPN
cana-3637	325	11	image	image	NOUN
cana-3637	325	12	forgery	forgery	NOUN
cana-3637	325	13	detection	detection	NOUN
cana-3637	325	14	:	:	PUNCT
cana-3637	325	15	comprehensive	comprehensive	ADJ
cana-3637	325	16	review	review	NOUN
cana-3637	325	17	of	of	ADP
cana-3637	325	18	digital	digital	ADJ
cana-3637	325	19	forensics	forensic	NOUN
cana-3637	325	20	approaches	approach	NOUN
cana-3637	325	21	.	.	PUNCT
cana-3637	326	1	j	j	PROPN
cana-3637	326	2	comput	comput	PROPN
cana-3637	326	3	soc	soc	PROPN
cana-3637	326	4	sc	sc	PROPN
cana-3637	326	5	7	7	NUM
cana-3637	326	6	,	,	PUNCT
cana-3637	326	7	877–915	877–915	NUM
cana-3637	326	8	(	(	PUNCT
cana-3637	326	9	2024	2024	NUM
cana-3637	326	10	)	)	PUNCT
cana-3637	326	11	.	.	PUNCT
cana-3637	327	1	https://doi.org/10.1007/s42001-024-00265-8	https://doi.org/10.1007/s42001-024-00265-8	NUM
cana-3637	328	1	[	[	X
cana-3637	328	2	20	20	NUM
cana-3637	328	3	]	]	PUNCT
cana-3637	328	4	sharma	sharma	NOUN
cana-3637	328	5	,	,	PUNCT
cana-3637	328	6	p.	p.	PROPN
cana-3637	328	7	,	,	PUNCT
cana-3637	328	8	kumar	kumar	PROPN
cana-3637	328	9	,	,	PUNCT
cana-3637	328	10	m.	m.	PROPN
cana-3637	328	11	&	&	CCONJ
cana-3637	328	12	sharma	sharma	PROPN
cana-3637	328	13	,	,	PUNCT
cana-3637	328	14	h.	h.	PROPN
cana-3637	328	15	comprehensive	comprehensive	ADJ
cana-3637	328	16	analyses	analysis	NOUN
cana-3637	328	17	of	of	ADP
cana-3637	328	18	image	image	NOUN
cana-3637	328	19	forgery	forgery	NOUN
cana-3637	328	20	detection	detection	NOUN
cana-3637	328	21	methods	method	NOUN
cana-3637	328	22	from	from	ADP
cana-3637	328	23	traditional	traditional	ADJ
cana-3637	328	24	to	to	ADP
cana-3637	328	25	deep	deep	ADJ
cana-3637	328	26	learning	learning	NOUN
cana-3637	328	27	approaches	approach	NOUN
cana-3637	328	28	:	:	PUNCT
cana-3637	328	29	an	an	DET
cana-3637	328	30	evaluation	evaluation	NOUN
cana-3637	328	31	.	.	PUNCT
cana-3637	329	1	multimed	multime	VERB
cana-3637	329	2	tools	tool	NOUN
cana-3637	329	3	appl	appl	PROPN
cana-3637	329	4	82	82	NUM
cana-3637	329	5	,	,	PUNCT
cana-3637	329	6	18117–18150	18117–18150	NUM
cana-3637	329	7	(	(	PUNCT
cana-3637	329	8	2023	2023	NUM
cana-3637	329	9	)	)	PUNCT
cana-3637	329	10	.	.	PUNCT
cana-3637	330	1	https://doi.org/10.1007/s11042-022-13808-w	https://doi.org/10.1007/s11042-022-13808-w	VERB
cana-3637	330	2	[	[	X
cana-3637	330	3	21	21	NUM
cana-3637	330	4	]	]	PUNCT
cana-3637	330	5	iseed	iseed	NOUN
cana-3637	330	6	,	,	PUNCT
cana-3637	330	7	s.y	s.y	PROPN
cana-3637	330	8	.	.	PROPN
cana-3637	330	9	,	,	PUNCT
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cana-3637	330	12	k.w	k.w	PROPN
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cana-3637	330	14	forensic	forensic	ADJ
cana-3637	330	15	approach	approach	NOUN
cana-3637	330	16	for	for	ADP
cana-3637	330	17	distinguishing	distinguish	VERB
cana-3637	330	18	between	between	ADP
cana-3637	330	19	source	source	NOUN
cana-3637	330	20	and	and	CCONJ
cana-3637	330	21	destination	destination	NOUN
cana-3637	330	22	regions	region	NOUN
cana-3637	330	23	in	in	ADP
cana-3637	330	24	copymove	copymove	ADJ
cana-3637	330	25	forgery	forgery	NOUN
cana-3637	330	26	.	.	PUNCT
cana-3637	331	1	multimed	multime	VERB
cana-3637	331	2	tools	tool	NOUN
cana-3637	331	3	appl	appl	PROPN
cana-3637	331	4	82	82	NUM
cana-3637	331	5	,	,	PUNCT
cana-3637	331	6	31181–31210	31181–31210	NUM
cana-3637	331	7	(	(	PUNCT
cana-3637	331	8	2023	2023	NUM
cana-3637	331	9	)	)	PUNCT
cana-3637	331	10	.	.	PUNCT
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cana-3637	333	2	22	22	NUM
cana-3637	333	3	]	]	X
cana-3637	333	4	lu	lu	PROPN
cana-3637	333	5	,	,	PUNCT
cana-3637	333	6	xj	xj	PROPN
cana-3637	333	7	.	.	PROPN
cana-3637	333	8	,	,	PUNCT
cana-3637	333	9	li	li	PROPN
cana-3637	333	10	,	,	PUNCT
cana-3637	333	11	j.	j.	PROPN
cana-3637	333	12	,	,	PUNCT
cana-3637	333	13	wei	wei	PROPN
cana-3637	333	14	,	,	PUNCT
cana-3637	333	15	x.	x.	PROPN
cana-3637	333	16	et	et	PROPN
cana-3637	333	17	al	al	PROPN
cana-3637	333	18	.	.	PUNCT
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cana-3637	334	3	method	method	NOUN
cana-3637	334	4	for	for	ADP
cana-3637	334	5	determining	determine	VERB
cana-3637	334	6	postmortem	postmortem	NOUN
cana-3637	334	7	interval	interval	NOUN
cana-3637	334	8	based	base	VERB
cana-3637	334	9	on	on	ADP
cana-3637	334	10	the	the	DET
cana-3637	334	11	metabolomics	metabolomic	NOUN
cana-3637	334	12	of	of	ADP
cana-3637	334	13	multiple	multiple	ADJ
cana-3637	334	14	organs	organ	NOUN
cana-3637	334	15	combined	combine	VERB
cana-3637	334	16	with	with	ADP
cana-3637	334	17	ensemble	ensemble	ADJ
cana-3637	334	18	learning	learning	NOUN
cana-3637	334	19	techniques	technique	NOUN
cana-3637	334	20	.	.	PUNCT
cana-3637	335	1	int	int	NOUN
cana-3637	335	2	j	j	PROPN
cana-3637	335	3	legal	legal	ADJ
cana-3637	335	4	med	med	NOUN
cana-3637	335	5	137	137	NUM
cana-3637	335	6	,	,	PUNCT
cana-3637	335	7	237–249	237–249	NUM
cana-3637	335	8	(	(	PUNCT
cana-3637	335	9	2023	2023	NUM
cana-3637	335	10	)	)	PUNCT
cana-3637	335	11	.	.	PUNCT
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cana-3637	337	2	23	23	NUM
cana-3637	337	3	]	]	SYM
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cana-3637	337	5	,	,	PUNCT
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cana-3637	337	7	,	,	PUNCT
cana-3637	337	8	paolanti	paolanti	PROPN
cana-3637	337	9	,	,	PUNCT
cana-3637	337	10	m.	m.	NOUN
cana-3637	337	11	&	&	CCONJ
cana-3637	337	12	frontoni	frontoni	PROPN
cana-3637	337	13	,	,	PUNCT
cana-3637	337	14	e.	e.	PROPN
cana-3637	337	15	an	an	DET
cana-3637	337	16	offline	offline	ADJ
cana-3637	337	17	parallel	parallel	ADJ
cana-3637	337	18	architecture	architecture	NOUN
cana-3637	337	19	for	for	ADP
cana-3637	337	20	forensic	forensic	ADJ
cana-3637	337	21	multimedia	multimedia	NOUN
cana-3637	337	22	classification	classification	NOUN
cana-3637	337	23	.	.	PUNCT
cana-3637	338	1	multimed	multime	VERB
cana-3637	338	2	tools	tool	NOUN
cana-3637	338	3	appl	appl	PROPN
cana-3637	338	4	81	81	NUM
cana-3637	338	5	,	,	PUNCT
cana-3637	338	6	22715–22730	22715–22730	NUM
cana-3637	338	7	(	(	PUNCT
cana-3637	338	8	2022	2022	NUM
cana-3637	338	9	)	)	PUNCT
cana-3637	338	10	.	.	PUNCT
cana-3637	339	1	https://doi.org/10.1007/s11042-021-10819-x	https://doi.org/10.1007/s11042-021-10819-x	NOUN
cana-3637	340	1	[	[	X
cana-3637	340	2	24	24	NUM
cana-3637	340	3	]	]	X
cana-3637	340	4	gowada	gowada	PROPN
cana-3637	340	5	,	,	PUNCT
cana-3637	340	6	r.	r.	PROPN
cana-3637	340	7	,	,	PUNCT
cana-3637	340	8	pawar	pawar	PROPN
cana-3637	340	9	,	,	PUNCT
cana-3637	340	10	d.	d.	PROPN
cana-3637	340	11	&	&	CCONJ
cana-3637	340	12	barman	barman	PROPN
cana-3637	340	13	,	,	PUNCT
cana-3637	340	14	b.	b.	PROPN
cana-3637	340	15	unethical	unethical	ADJ
cana-3637	340	16	human	human	ADJ
cana-3637	340	17	action	action	NOUN
cana-3637	340	18	recognition	recognition	NOUN
cana-3637	340	19	using	use	VERB
cana-3637	340	20	deep	deep	ADJ
cana-3637	340	21	learning	learning	NOUN
cana-3637	340	22	based	base	VERB
cana-3637	340	23	hybrid	hybrid	ADJ
cana-3637	340	24	model	model	NOUN
cana-3637	340	25	for	for	ADP
cana-3637	340	26	video	video	NOUN
cana-3637	340	27	forensics	forensic	NOUN
cana-3637	340	28	.	.	PUNCT
cana-3637	341	1	multimed	multime	VERB
cana-3637	341	2	tools	tool	NOUN
cana-3637	341	3	appl	appl	PROPN
cana-3637	341	4	82	82	NUM
cana-3637	341	5	,	,	PUNCT
cana-3637	341	6	28713–28738	28713–28738	NUM
cana-3637	341	7	(	(	PUNCT
cana-3637	341	8	2023	2023	NUM
cana-3637	341	9	)	)	PUNCT
cana-3637	341	10	.	.	PUNCT
cana-3637	342	1	https://doi.org/10.1007/s11042-023-14508-9	https://doi.org/10.1007/s11042-023-14508-9	PROPN
cana-3637	343	1	[	[	X
cana-3637	343	2	25	25	NUM
cana-3637	343	3	]	]	PUNCT
cana-3637	343	4	rajmohan	rajmohan	PROPN
cana-3637	343	5	,	,	PUNCT
cana-3637	343	6	k.	k.	PROPN
cana-3637	343	7	,	,	PUNCT
cana-3637	343	8	abdul	abdul	PROPN
cana-3637	343	9	khader	khader	PROPN
cana-3637	343	10	,	,	PUNCT
cana-3637	343	11	a.	a.	PROPN
cana-3637	343	12	multi	multi	ADJ
cana-3637	343	13	-	-	ADJ
cana-3637	343	14	orientation	orientation	ADJ
cana-3637	343	15	local	local	ADJ
cana-3637	343	16	ternary	ternary	ADJ
cana-3637	343	17	pattern	pattern	NOUN
cana-3637	343	18	-	-	PUNCT
cana-3637	343	19	based	base	VERB
cana-3637	343	20	feature	feature	NOUN
cana-3637	343	21	extraction	extraction	NOUN
cana-3637	343	22	for	for	ADP
cana-3637	343	23	forensic	forensic	ADJ
cana-3637	343	24	dentistry	dentistry	NOUN
cana-3637	343	25	.	.	PUNCT
cana-3637	344	1	j	j	PROPN
cana-3637	344	2	image	image	NOUN
cana-3637	344	3	video	video	NOUN
cana-3637	344	4	proc	proc	NOUN
cana-3637	344	5	.	.	PUNCT
cana-3637	345	1	2022	2022	NUM
cana-3637	345	2	,	,	PUNCT
cana-3637	345	3	8	8	NUM
cana-3637	345	4	(	(	PUNCT
cana-3637	345	5	2022	2022	NUM
cana-3637	345	6	)	)	PUNCT
cana-3637	345	7	.	.	PUNCT
cana-3637	346	1	https://doi.org/10.1186/s13640-022-00584-8	https://doi.org/10.1186/s13640-022-00584-8	VERB