id	sid	tid	token	lemma	pos
cana-5824	1	1	communications	communication	NOUN
cana-5824	1	2	on	on	ADP
cana-5824	1	3	applied	apply	VERB
cana-5824	1	4	nonlinear	nonlinear	ADJ
cana-5824	1	5	analysis	analysis	NOUN
cana-5824	1	6	issn	issn	NOUN
cana-5824	1	7	:	:	PUNCT
cana-5824	1	8	1074	1074	NUM
cana-5824	1	9	-	-	PUNCT
cana-5824	1	10	133x	133x	NUM
cana-5824	1	11	vol	vol	VERB
cana-5824	1	12	32	32	NUM
cana-5824	1	13	no	no	NOUN
cana-5824	1	14	.	.	PUNCT
cana-5824	2	1	10s	10	NOUN
cana-5824	2	2	(	(	PUNCT
cana-5824	2	3	2025	2025	NUM
cana-5824	2	4	)	)	PUNCT
cana-5824	2	5	2862	2862	NUM
cana-5824	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	2	7	improving	improve	VERB
cana-5824	2	8	electricity	electricity	NOUN
cana-5824	2	9	theft	theft	NOUN
cana-5824	2	10	detection	detection	NOUN
cana-5824	2	11	with	with	ADP
cana-5824	2	12	a	a	DET
cana-5824	2	13	stacked	stack	VERB
cana-5824	2	14	ensemble	ensemble	ADJ
cana-5824	2	15	model	model	NOUN
cana-5824	2	16	anamika	anamika	PROPN
cana-5824	2	17	jain1	jain1	PROPN
cana-5824	2	18	,	,	PUNCT
cana-5824	2	19	awanti	awanti	PROPN
cana-5824	2	20	karmarkar2	karmarkar2	PROPN
cana-5824	2	21	,	,	PUNCT
cana-5824	2	22	shejal	shejal	ADV
cana-5824	2	23	mete2	mete2	PROPN
cana-5824	2	24	,	,	PUNCT
cana-5824	2	25	aryan	aryan	ADJ
cana-5824	2	26	rai2	rai2	PROPN
cana-5824	2	27	1	1	NUM
cana-5824	2	28	computer	computer	NOUN
cana-5824	2	29	engineering	engineering	NOUN
cana-5824	2	30	,	,	PUNCT
cana-5824	2	31	ajeenkya	ajeenkya	PROPN
cana-5824	2	32	dy	dy	PROPN
cana-5824	2	33	patil	patil	PROPN
cana-5824	2	34	school	school	PROPN
cana-5824	2	35	of	of	ADP
cana-5824	2	36	engineering	engineering	NOUN
cana-5824	2	37	,	,	PUNCT
cana-5824	2	38	lohegaon	lohegaon	NOUN
cana-5824	2	39	,	,	PUNCT
cana-5824	2	40	pune	pune	ADJ
cana-5824	2	41	1	1	NUM
cana-5824	2	42	anamika.jain@dypic.in	anamika.jain@dypic.in	PROPN
cana-5824	2	43	2	2	NUM
cana-5824	2	44	dr	dr	PROPN
cana-5824	2	45	.	.	PROPN
cana-5824	2	46	vishwanath	vishwanath	PROPN
cana-5824	2	47	karad	karad	PROPN
cana-5824	2	48	mit	mit	PROPN
cana-5824	2	49	world	world	PROPN
cana-5824	2	50	peace	peace	NOUN
cana-5824	2	51	university	university	NOUN
cana-5824	2	52	article	article	NOUN
cana-5824	2	53	history	history	NOUN
cana-5824	2	54	:	:	PUNCT
cana-5824	2	55	received	receive	VERB
cana-5824	2	56	:	:	PUNCT
cana-5824	2	57	14	14	NUM
cana-5824	2	58	-	-	SYM
cana-5824	2	59	01	01	NUM
cana-5824	2	60	-	-	PUNCT
cana-5824	2	61	2025	2025	NUM
cana-5824	2	62	revised	revise	VERB
cana-5824	2	63	:	:	PUNCT
cana-5824	2	64	15	15	NUM
cana-5824	2	65	-	-	NUM
cana-5824	2	66	02	02	NUM
cana-5824	2	67	-	-	PUNCT
cana-5824	2	68	2025	2025	NUM
cana-5824	2	69	accepted	accept	VERB
cana-5824	2	70	:	:	PUNCT
cana-5824	2	71	21	21	NUM
cana-5824	2	72	-	-	SYM
cana-5824	2	73	03	03	NUM
cana-5824	2	74	-	-	PUNCT
cana-5824	2	75	2025	2025	NUM
cana-5824	2	76	abstract	abstract	NOUN
cana-5824	2	77	:	:	PUNCT
cana-5824	2	78	energy	energy	NOUN
cana-5824	2	79	theft	theft	NOUN
cana-5824	2	80	is	be	AUX
cana-5824	2	81	a	a	DET
cana-5824	2	82	major	major	ADJ
cana-5824	2	83	problem	problem	NOUN
cana-5824	2	84	for	for	ADP
cana-5824	2	85	utility	utility	NOUN
cana-5824	2	86	providers	provider	NOUN
cana-5824	2	87	as	as	SCONJ
cana-5824	2	88	it	it	PRON
cana-5824	2	89	results	result	VERB
cana-5824	2	90	in	in	ADP
cana-5824	2	91	huge	huge	ADJ
cana-5824	2	92	revenue	revenue	NOUN
cana-5824	2	93	loss	loss	NOUN
cana-5824	2	94	and	and	CCONJ
cana-5824	2	95	interruption	interruption	NOUN
cana-5824	2	96	in	in	ADP
cana-5824	2	97	power	power	NOUN
cana-5824	2	98	supply	supply	NOUN
cana-5824	2	99	.	.	PUNCT
cana-5824	3	1	it	it	PRON
cana-5824	3	2	is	be	AUX
cana-5824	3	3	shown	show	VERB
cana-5824	3	4	that	that	SCONJ
cana-5824	3	5	traditional	traditional	ADJ
cana-5824	3	6	detection	detection	NOUN
cana-5824	3	7	models	model	NOUN
cana-5824	3	8	can	can	AUX
cana-5824	3	9	not	not	PART
cana-5824	3	10	adequately	adequately	ADV
cana-5824	3	11	cope	cope	VERB
cana-5824	3	12	with	with	ADP
cana-5824	3	13	different	different	ADJ
cana-5824	3	14	methods	method	NOUN
cana-5824	3	15	of	of	ADP
cana-5824	3	16	theft	theft	NOUN
cana-5824	3	17	and	and	CCONJ
cana-5824	3	18	unequal	unequal	ADJ
cana-5824	3	19	data	datum	NOUN
cana-5824	3	20	distributions	distribution	NOUN
cana-5824	3	21	.	.	PUNCT
cana-5824	4	1	this	this	DET
cana-5824	4	2	work	work	NOUN
cana-5824	4	3	provided	provide	VERB
cana-5824	4	4	a	a	DET
cana-5824	4	5	novel	novel	ADJ
cana-5824	4	6	machine	machine	NOUN
cana-5824	4	7	learning	learn	VERB
cana-5824	4	8	approach	approach	NOUN
cana-5824	4	9	to	to	PART
cana-5824	4	10	use	use	VERB
cana-5824	4	11	a	a	DET
cana-5824	4	12	stack	stack	NOUN
cana-5824	4	13	ensemble	ensemble	ADJ
cana-5824	4	14	of	of	ADP
cana-5824	4	15	random	random	ADJ
cana-5824	4	16	forest	forest	NOUN
cana-5824	4	17	,	,	PUNCT
cana-5824	4	18	gradient	gradient	ADJ
cana-5824	4	19	boost	boost	NOUN
cana-5824	4	20	with	with	ADP
cana-5824	4	21	xgboost	xgboost	NUM
cana-5824	4	22	,	,	PUNCT
cana-5824	4	23	and	and	CCONJ
cana-5824	4	24	logistic	logistic	ADJ
cana-5824	4	25	regression	regression	NOUN
cana-5824	4	26	as	as	ADP
cana-5824	4	27	meta	meta	ADJ
cana-5824	4	28	classifiers	classifier	NOUN
cana-5824	4	29	.	.	PUNCT
cana-5824	5	1	to	to	PART
cana-5824	5	2	solve	solve	VERB
cana-5824	5	3	the	the	DET
cana-5824	5	4	problem	problem	NOUN
cana-5824	5	5	related	relate	VERB
cana-5824	5	6	to	to	ADP
cana-5824	5	7	data	datum	NOUN
cana-5824	5	8	imbalance	imbalance	NOUN
cana-5824	5	9	,	,	PUNCT
cana-5824	5	10	the	the	DET
cana-5824	5	11	adasyn	adasyn	NOUN
cana-5824	5	12	oversampling	oversampling	NOUN
cana-5824	5	13	method	method	NOUN
cana-5824	5	14	is	be	AUX
cana-5824	5	15	used	use	VERB
cana-5824	5	16	to	to	PART
cana-5824	5	17	increase	increase	VERB
cana-5824	5	18	the	the	DET
cana-5824	5	19	number	number	NOUN
cana-5824	5	20	of	of	ADP
cana-5824	5	21	samples	sample	NOUN
cana-5824	5	22	of	of	ADP
cana-5824	5	23	the	the	DET
cana-5824	5	24	minority	minority	NOUN
cana-5824	5	25	class	class	NOUN
cana-5824	5	26	.	.	PUNCT
cana-5824	6	1	the	the	DET
cana-5824	6	2	results	result	NOUN
cana-5824	6	3	are	be	AUX
cana-5824	6	4	then	then	ADV
cana-5824	6	5	measured	measure	VERB
cana-5824	6	6	with	with	ADP
cana-5824	6	7	recall	recall	NOUN
cana-5824	6	8	,	,	PUNCT
cana-5824	6	9	fnr	fnr	PROPN
cana-5824	6	10	,	,	PUNCT
cana-5824	6	11	roc	roc	NOUN
cana-5824	6	12	auc	auc	NOUN
cana-5824	6	13	in	in	ADP
cana-5824	6	14	order	order	NOUN
cana-5824	6	15	to	to	PART
cana-5824	6	16	see	see	VERB
cana-5824	6	17	that	that	SCONJ
cana-5824	6	18	the	the	DET
cana-5824	6	19	model	model	NOUN
cana-5824	6	20	works	work	VERB
cana-5824	6	21	effectively	effectively	ADV
cana-5824	6	22	to	to	PART
cana-5824	6	23	detect	detect	VERB
cana-5824	6	24	theft	theft	NOUN
cana-5824	6	25	with	with	ADP
cana-5824	6	26	good	good	ADJ
cana-5824	6	27	levels	level	NOUN
cana-5824	6	28	of	of	ADP
cana-5824	6	29	tpr	tpr	NOUN
cana-5824	6	30	without	without	ADP
cana-5824	6	31	crossing	cross	VERB
cana-5824	6	32	fdr	fdr	PROPN
cana-5824	6	33	and	and	CCONJ
cana-5824	6	34	fndr	fndr	PROPN
cana-5824	6	35	levels	level	NOUN
cana-5824	6	36	.	.	PUNCT
cana-5824	7	1	this	this	DET
cana-5824	7	2	work	work	NOUN
cana-5824	7	3	provides	provide	VERB
cana-5824	7	4	a	a	DET
cana-5824	7	5	useful	useful	ADJ
cana-5824	7	6	application	application	NOUN
cana-5824	7	7	to	to	ADP
cana-5824	7	8	various	various	ADJ
cana-5824	7	9	utility	utility	NOUN
cana-5824	7	10	companies	company	NOUN
cana-5824	7	11	designed	design	VERB
cana-5824	7	12	to	to	PART
cana-5824	7	13	identify	identify	VERB
cana-5824	7	14	fluctuations	fluctuation	NOUN
cana-5824	7	15	in	in	ADP
cana-5824	7	16	energy	energy	NOUN
cana-5824	7	17	consumption	consumption	NOUN
cana-5824	7	18	,	,	PUNCT
cana-5824	7	19	protect	protect	VERB
cana-5824	7	20	power	power	NOUN
cana-5824	7	21	distribution	distribution	NOUN
cana-5824	7	22	networks	network	NOUN
cana-5824	7	23	,	,	PUNCT
cana-5824	7	24	and	and	CCONJ
cana-5824	7	25	minimize	minimize	VERB
cana-5824	7	26	energy	energy	NOUN
cana-5824	7	27	losses	loss	NOUN
cana-5824	7	28	.	.	PUNCT
cana-5824	8	1	keywords	keyword	NOUN
cana-5824	8	2	:	:	PUNCT
cana-5824	8	3	energy	energy	NOUN
cana-5824	8	4	theft	theft	NOUN
cana-5824	8	5	,	,	PUNCT
cana-5824	8	6	machine	machine	NOUN
cana-5824	8	7	learning	learning	NOUN
cana-5824	8	8	,	,	PUNCT
cana-5824	8	9	ensemble	ensemble	ADJ
cana-5824	8	10	models	model	NOUN
cana-5824	8	11	,	,	PUNCT
cana-5824	8	12	meta	meta	ADJ
cana-5824	8	13	-	-	PUNCT
cana-5824	8	14	learner	learner	NOUN
cana-5824	8	15	,	,	PUNCT
cana-5824	8	16	accuracy	accuracy	NOUN
cana-5824	8	17	,	,	PUNCT
cana-5824	8	18	grid	grid	ADJ
cana-5824	8	19	security	security	NOUN
cana-5824	8	20	1	1	NUM
cana-5824	8	21	.	.	PUNCT
cana-5824	8	22	introduction	introduction	NOUN
cana-5824	8	23	electricity	electricity	NOUN
cana-5824	8	24	theft	theft	NOUN
cana-5824	8	25	along	along	ADP
cana-5824	8	26	with	with	ADP
cana-5824	8	27	meter	meter	NOUN
cana-5824	8	28	tampering	tampering	NOUN
cana-5824	8	29	represents	represent	VERB
cana-5824	8	30	major	major	ADJ
cana-5824	8	31	problems	problem	NOUN
cana-5824	8	32	leading	lead	VERB
cana-5824	8	33	to	to	ADP
cana-5824	8	34	annual	annual	ADJ
cana-5824	8	35	losses	loss	NOUN
cana-5824	8	36	in	in	ADP
cana-5824	8	37	the	the	DET
cana-5824	8	38	billions	billion	NOUN
cana-5824	8	39	for	for	ADP
cana-5824	8	40	utility	utility	NOUN
cana-5824	8	41	providers	provider	NOUN
cana-5824	8	42	while	while	SCONJ
cana-5824	8	43	potentially	potentially	ADV
cana-5824	8	44	threatening	threaten	VERB
cana-5824	8	45	the	the	DET
cana-5824	8	46	integrity	integrity	NOUN
cana-5824	8	47	of	of	ADP
cana-5824	8	48	power	power	NOUN
cana-5824	8	49	distribution	distribution	NOUN
cana-5824	8	50	networks	network	NOUN
cana-5824	8	51	.	.	PUNCT
cana-5824	9	1	exclusive	exclusive	ADJ
cana-5824	9	2	metering	metering	NOUN
cana-5824	9	3	fraud	fraud	NOUN
cana-5824	9	4	consists	consist	VERB
cana-5824	9	5	of	of	ADP
cana-5824	9	6	meter	meter	NOUN
cana-5824	9	7	reading	reading	NOUN
cana-5824	9	8	manipulation	manipulation	NOUN
cana-5824	9	9	combined	combine	VERB
cana-5824	9	10	with	with	ADP
cana-5824	9	11	sophisticated	sophisticated	ADJ
cana-5824	9	12	methods	method	NOUN
cana-5824	9	13	that	that	PRON
cana-5824	9	14	continue	continue	VERB
cana-5824	9	15	to	to	PART
cana-5824	9	16	evade	evade	VERB
cana-5824	9	17	detection	detection	NOUN
cana-5824	9	18	systems	system	NOUN
cana-5824	9	19	.	.	PUNCT
cana-5824	10	1	the	the	DET
cana-5824	10	2	financial	financial	ADJ
cana-5824	10	3	damage	damage	NOUN
cana-5824	10	4	caused	cause	VERB
cana-5824	10	5	by	by	ADP
cana-5824	10	6	electricity	electricity	NOUN
cana-5824	10	7	theft	theft	NOUN
cana-5824	10	8	extends	extend	VERB
cana-5824	10	9	to	to	ADP
cana-5824	10	10	electrical	electrical	ADJ
cana-5824	10	11	infrastructure	infrastructure	NOUN
cana-5824	10	12	instability	instability	NOUN
cana-5824	10	13	and	and	CCONJ
cana-5824	10	14	disrupted	disrupt	VERB
cana-5824	10	15	payment	payment	NOUN
cana-5824	10	16	systems	system	NOUN
cana-5824	10	17	which	which	PRON
cana-5824	10	18	leads	lead	VERB
cana-5824	10	19	to	to	ADP
cana-5824	10	20	unequal	unequal	ADJ
cana-5824	10	21	cost	cost	NOUN
cana-5824	10	22	burden	burden	NOUN
cana-5824	10	23	on	on	ADP
cana-5824	10	24	honest	honest	ADJ
cana-5824	10	25	energy	energy	NOUN
cana-5824	10	26	consumers	consumer	NOUN
cana-5824	10	27	.	.	PUNCT
cana-5824	11	1	research	research	NOUN
cana-5824	11	2	from	from	ADP
cana-5824	11	3	zhou	zhou	PROPN
cana-5824	11	4	et	et	PROPN
cana-5824	11	5	al	al	PROPN
cana-5824	11	6	.	.	PUNCT
cana-5824	12	1	[	[	X
cana-5824	12	2	1	1	X
cana-5824	12	3	]	]	PUNCT
cana-5824	12	4	and	and	CCONJ
cana-5824	12	5	aldegheishem	aldegheishem	PROPN
cana-5824	12	6	et	et	PROPN
cana-5824	12	7	.	.	PUNCT
cana-5824	13	1	al	al	PROPN
cana-5824	13	2	.	.	PUNCT
cana-5824	14	1	[	[	X
cana-5824	14	2	2	2	X
cana-5824	14	3	]	]	PUNCT
cana-5824	14	4	shows	show	VERB
cana-5824	14	5	that	that	SCONJ
cana-5824	14	6	electricity	electricity	NOUN
cana-5824	14	7	theft	theft	NOUN
cana-5824	14	8	creates	create	VERB
cana-5824	14	9	major	major	ADJ
cana-5824	14	10	safety	safety	NOUN
cana-5824	14	11	threats	threat	NOUN
cana-5824	14	12	which	which	PRON
cana-5824	14	13	include	include	VERB
cana-5824	14	14	network	network	NOUN
cana-5824	14	15	flaws	flaw	NOUN
cana-5824	14	16	alongside	alongside	ADP
cana-5824	14	17	electrical	electrical	ADJ
cana-5824	14	18	fires	fire	NOUN
cana-5824	14	19	.	.	PUNCT
cana-5824	15	1	global	global	ADJ
cana-5824	15	2	deterioration	deterioration	NOUN
cana-5824	15	3	of	of	ADP
cana-5824	15	4	electricity	electricity	NOUN
cana-5824	15	5	theft	theft	NOUN
cana-5824	15	6	has	have	AUX
cana-5824	15	7	triggered	trigger	VERB
cana-5824	15	8	researchers	researcher	NOUN
cana-5824	15	9	to	to	PART
cana-5824	15	10	develop	develop	VERB
cana-5824	15	11	efficient	efficient	ADJ
cana-5824	15	12	detection	detection	NOUN
cana-5824	15	13	approaches	approach	NOUN
cana-5824	15	14	that	that	PRON
cana-5824	15	15	are	be	AUX
cana-5824	15	16	also	also	ADV
cana-5824	15	17	scalable	scalable	ADJ
cana-5824	15	18	and	and	CCONJ
cana-5824	15	19	effective	effective	ADJ
cana-5824	15	20	.	.	PUNCT
cana-5824	16	1	the	the	DET
cana-5824	16	2	insufficient	insufficient	ADJ
cana-5824	16	3	detection	detection	NOUN
cana-5824	16	4	abilities	ability	NOUN
cana-5824	16	5	of	of	ADP
cana-5824	16	6	basic	basic	ADJ
cana-5824	16	7	visual	visual	ADJ
cana-5824	16	8	assessments	assessment	NOUN
cana-5824	16	9	and	and	CCONJ
cana-5824	16	10	fundamental	fundamental	ADJ
cana-5824	16	11	statistical	statistical	ADJ
cana-5824	16	12	anomaly	anomaly	NOUN
cana-5824	16	13	detection	detection	NOUN
cana-5824	16	14	algorithms	algorithm	NOUN
cana-5824	16	15	become	become	VERB
cana-5824	16	16	ineffective	ineffective	ADJ
cana-5824	16	17	against	against	ADP
cana-5824	16	18	emerging	emerge	VERB
cana-5824	16	19	theft	theft	NOUN
cana-5824	16	20	techniques	technique	NOUN
cana-5824	16	21	.	.	PUNCT
cana-5824	17	1	traditional	traditional	ADJ
cana-5824	17	2	approaches	approach	NOUN
cana-5824	17	3	used	use	VERB
cana-5824	17	4	to	to	PART
cana-5824	17	5	identify	identify	VERB
cana-5824	17	6	energy	energy	NOUN
cana-5824	17	7	theft	theft	NOUN
cana-5824	17	8	miss	miss	VERB
cana-5824	17	9	complex	complex	ADJ
cana-5824	17	10	usage	usage	NOUN
cana-5824	17	11	patterns	pattern	NOUN
cana-5824	17	12	which	which	PRON
cana-5824	17	13	results	result	VERB
cana-5824	17	14	in	in	ADP
cana-5824	17	15	many	many	ADJ
cana-5824	17	16	theft	theft	NOUN
cana-5824	17	17	incidents	incident	NOUN
cana-5824	17	18	being	be	AUX
cana-5824	17	19	reported	report	VERB
cana-5824	17	20	late	late	ADV
cana-5824	17	21	according	accord	VERB
cana-5824	17	22	to	to	ADP
cana-5824	17	23	ali	ali	PROPN
cana-5824	17	24	et	et	PROPN
cana-5824	17	25	al	al	PROPN
cana-5824	17	26	.	.	PUNCT
cana-5824	18	1	in	in	ADP
cana-5824	18	2	[	[	X
cana-5824	18	3	3	3	NUM
cana-5824	18	4	]	]	PUNCT
cana-5824	18	5	.	.	PUNCT
cana-5824	19	1	zhou	zhou	PROPN
cana-5824	19	2	et	et	PROPN
cana-5824	19	3	al	al	PROPN
cana-5824	19	4	.	.	PUNCT
cana-5824	20	1	in	in	ADP
cana-5824	20	2	[	[	X
cana-5824	20	3	4	4	X
cana-5824	20	4	]	]	PUNCT
cana-5824	20	5	noted	note	VERB
cana-5824	20	6	that	that	SCONJ
cana-5824	20	7	the	the	DET
cana-5824	20	8	use	use	NOUN
cana-5824	20	9	of	of	ADP
cana-5824	20	10	observable	observable	ADJ
cana-5824	20	11	indicators	indicator	NOUN
cana-5824	20	12	presents	present	VERB
cana-5824	20	13	difficulties	difficulty	NOUN
cana-5824	20	14	in	in	ADP
cana-5824	20	15	theft	theft	NOUN
cana-5824	20	16	detection	detection	NOUN
cana-5824	20	17	because	because	SCONJ
cana-5824	20	18	decision	decision	NOUN
cana-5824	20	19	-	-	PUNCT
cana-5824	20	20	makers	maker	NOUN
cana-5824	20	21	depend	depend	VERB
cana-5824	20	22	solely	solely	ADV
cana-5824	20	23	on	on	ADP
cana-5824	20	24	traditional	traditional	ADJ
cana-5824	20	25	methodologies	methodology	NOUN
cana-5824	20	26	.	.	PUNCT
cana-5824	21	1	advanced	advanced	ADJ
cana-5824	21	2	detection	detection	NOUN
cana-5824	21	3	methods	method	NOUN
cana-5824	21	4	become	become	VERB
cana-5824	21	5	essential	essential	ADJ
cana-5824	21	6	because	because	SCONJ
cana-5824	21	7	of	of	ADP
cana-5824	21	8	rising	rise	VERB
cana-5824	21	9	challenges	challenge	NOUN
cana-5824	21	10	.	.	PUNCT
cana-5824	22	1	data	datum	NOUN
cana-5824	22	2	analytics	analytic	NOUN
cana-5824	22	3	methods	method	NOUN
cana-5824	22	4	to	to	PART
cana-5824	22	5	detect	detect	VERB
cana-5824	22	6	consumption	consumption	NOUN
cana-5824	22	7	behavior	behavior	NOUN
cana-5824	22	8	deviations	deviation	NOUN
cana-5824	22	9	from	from	ADP
cana-5824	22	10	expected	expect	VERB
cana-5824	22	11	patterns	pattern	NOUN
cana-5824	22	12	remain	remain	VERB
cana-5824	22	13	important	important	ADJ
cana-5824	22	14	according	accord	VERB
cana-5824	22	15	to	to	ADP
cana-5824	22	16	research	research	NOUN
cana-5824	22	17	from	from	ADP
cana-5824	22	18	khan	khan	PROPN
cana-5824	22	19	et	et	PROPN
cana-5824	22	20	al	al	PROPN
cana-5824	22	21	.	.	PUNCT
cana-5824	23	1	[	[	X
cana-5824	23	2	5	5	NUM
cana-5824	23	3	]	]	PUNCT
cana-5824	23	4	and	and	CCONJ
cana-5824	23	5	hussain	hussain	PROPN
cana-5824	23	6	et	et	PROPN
cana-5824	23	7	al	al	PROPN
cana-5824	23	8	.	.	PUNCT
cana-5824	24	1	[	[	X
cana-5824	24	2	6	6	NUM
cana-5824	24	3	]	]	PUNCT
cana-5824	24	4	.	.	PUNCT
cana-5824	25	1	the	the	DET
cana-5824	25	2	implemented	implement	VERB
cana-5824	25	3	detection	detection	NOUN
cana-5824	25	4	methods	method	NOUN
cana-5824	25	5	enhance	enhance	VERB
cana-5824	25	6	analysis	analysis	NOUN
cana-5824	25	7	precision	precision	NOUN
cana-5824	25	8	while	while	SCONJ
cana-5824	25	9	giving	give	VERB
cana-5824	25	10	utility	utility	NOUN
cana-5824	25	11	providers	provider	NOUN
cana-5824	25	12	tools	tool	NOUN
cana-5824	25	13	to	to	PART
cana-5824	25	14	stop	stop	VERB
cana-5824	25	15	additional	additional	ADJ
cana-5824	25	16	losses	loss	NOUN
cana-5824	25	17	.	.	PUNCT
cana-5824	26	1	data	datum	NOUN
cana-5824	26	2	scientists	scientist	NOUN
cana-5824	26	3	employ	employ	VERB
cana-5824	26	4	oversampling	oversample	VERB
cana-5824	26	5	techniques	technique	NOUN
cana-5824	26	6	according	accord	VERB
cana-5824	26	7	to	to	ADP
cana-5824	26	8	communications	communication	NOUN
cana-5824	26	9	on	on	ADP
cana-5824	26	10	applied	apply	VERB
cana-5824	26	11	nonlinear	nonlinear	ADJ
cana-5824	26	12	analysis	analysis	NOUN
cana-5824	26	13	issn	issn	NOUN
cana-5824	26	14	:	:	PUNCT
cana-5824	26	15	1074	1074	NUM
cana-5824	26	16	-	-	PUNCT
cana-5824	26	17	133x	133x	NUM
cana-5824	26	18	vol	vol	VERB
cana-5824	26	19	32	32	NUM
cana-5824	26	20	no	no	NOUN
cana-5824	26	21	.	.	PUNCT
cana-5824	27	1	10s	10	NOUN
cana-5824	27	2	(	(	PUNCT
cana-5824	27	3	2025	2025	NUM
cana-5824	27	4	)	)	PUNCT
cana-5824	27	5	2863	2863	NUM
cana-5824	27	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	27	7	ali	ali	PROPN
cana-5824	27	8	et	et	PROPN
cana-5824	27	9	al	al	PROPN
cana-5824	27	10	.	.	PUNCT
cana-5824	28	1	[	[	X
cana-5824	28	2	7	7	X
cana-5824	28	3	]	]	PUNCT
cana-5824	28	4	to	to	PART
cana-5824	28	5	fix	fix	VERB
cana-5824	28	6	the	the	DET
cana-5824	28	7	irregular	irregular	ADJ
cana-5824	28	8	distribution	distribution	NOUN
cana-5824	28	9	between	between	ADP
cana-5824	28	10	regular	regular	ADJ
cana-5824	28	11	and	and	CCONJ
cana-5824	28	12	fraudulent	fraudulent	ADJ
cana-5824	28	13	patterns	pattern	NOUN
cana-5824	28	14	in	in	ADP
cana-5824	28	15	consumption	consumption	NOUN
cana-5824	28	16	data	datum	NOUN
cana-5824	28	17	thus	thus	ADV
cana-5824	28	18	enhancing	enhance	VERB
cana-5824	28	19	predictive	predictive	ADJ
cana-5824	28	20	models	model	NOUN
cana-5824	28	21	’	'	PUNCT
cana-5824	28	22	performance	performance	NOUN
cana-5824	28	23	.	.	PUNCT
cana-5824	29	1	electricity	electricity	NOUN
cana-5824	29	2	theft	theft	NOUN
cana-5824	29	3	consequences	consequence	NOUN
cana-5824	29	4	spanning	span	VERB
cana-5824	29	5	economics	economic	NOUN
cana-5824	29	6	and	and	CCONJ
cana-5824	29	7	functionality	functionality	NOUN
cana-5824	29	8	and	and	CCONJ
cana-5824	29	9	safety	safety	NOUN
cana-5824	29	10	require	require	VERB
cana-5824	29	11	top	top	ADJ
cana-5824	29	12	priority	priority	NOUN
cana-5824	29	13	because	because	SCONJ
cana-5824	29	14	of	of	ADP
cana-5824	29	15	their	their	PRON
cana-5824	29	16	significance	significance	NOUN
cana-5824	29	17	.	.	PUNCT
cana-5824	30	1	advanced	advanced	ADJ
cana-5824	30	2	analytical	analytical	ADJ
cana-5824	30	3	tools	tool	NOUN
cana-5824	30	4	together	together	ADV
cana-5824	30	5	with	with	ADP
cana-5824	30	6	improved	improved	ADJ
cana-5824	30	7	data	data	NOUN
cana-5824	30	8	-	-	PUNCT
cana-5824	30	9	driven	drive	VERB
cana-5824	30	10	methods	method	NOUN
cana-5824	30	11	will	will	AUX
cana-5824	30	12	help	help	VERB
cana-5824	30	13	utility	utility	NOUN
cana-5824	30	14	companies	company	NOUN
cana-5824	30	15	achieve	achieve	VERB
cana-5824	30	16	better	well	ADJ
cana-5824	30	17	theft	theft	NOUN
cana-5824	30	18	prevention	prevention	NOUN
cana-5824	30	19	capabilities	capability	NOUN
cana-5824	30	20	while	while	SCONJ
cana-5824	30	21	protecting	protect	VERB
cana-5824	30	22	physical	physical	ADJ
cana-5824	30	23	assets	asset	NOUN
cana-5824	30	24	and	and	CCONJ
cana-5824	30	25	maintaining	maintain	VERB
cana-5824	30	26	fair	fair	ADJ
cana-5824	30	27	energy	energy	NOUN
cana-5824	30	28	distribution	distribution	NOUN
cana-5824	30	29	.	.	PUNCT
cana-5824	31	1	the	the	DET
cana-5824	31	2	initiatives	initiative	NOUN
cana-5824	31	3	support	support	VERB
cana-5824	31	4	wider	wide	ADJ
cana-5824	31	5	global	global	ADJ
cana-5824	31	6	objectives	objective	NOUN
cana-5824	31	7	for	for	ADP
cana-5824	31	8	power	power	NOUN
cana-5824	31	9	system	system	NOUN
cana-5824	31	10	safety	safety	NOUN
cana-5824	31	11	as	as	ADV
cana-5824	31	12	well	well	ADV
cana-5824	31	13	as	as	ADP
cana-5824	31	14	reliability	reliability	NOUN
cana-5824	31	15	.	.	PUNCT
cana-5824	32	1	2	2	X
cana-5824	32	2	.	.	X
cana-5824	32	3	related	relate	VERB
cana-5824	32	4	work	work	NOUN
cana-5824	32	5	theme	theme	NOUN
cana-5824	32	6	theft	theft	NOUN
cana-5824	32	7	in	in	ADP
cana-5824	32	8	smart	smart	ADJ
cana-5824	32	9	grid	grid	NOUN
cana-5824	32	10	operations	operation	NOUN
cana-5824	32	11	represents	represent	VERB
cana-5824	32	12	a	a	DET
cana-5824	32	13	major	major	ADJ
cana-5824	32	14	challenge	challenge	NOUN
cana-5824	32	15	because	because	SCONJ
cana-5824	32	16	it	it	PRON
cana-5824	32	17	reduces	reduce	VERB
cana-5824	32	18	monetary	monetary	ADJ
cana-5824	32	19	earnings	earning	NOUN
cana-5824	32	20	while	while	SCONJ
cana-5824	32	21	weakening	weaken	VERB
cana-5824	32	22	grid	grid	NOUN
cana-5824	32	23	stability	stability	NOUN
cana-5824	32	24	levels	level	NOUN
cana-5824	32	25	.	.	PUNCT
cana-5824	33	1	the	the	DET
cana-5824	33	2	extensive	extensive	ADJ
cana-5824	33	3	utilization	utilization	NOUN
cana-5824	33	4	of	of	ADP
cana-5824	33	5	machine	machine	NOUN
cana-5824	33	6	learning	learning	NOUN
cana-5824	33	7	(	(	PUNCT
cana-5824	33	8	ml	ml	NOUN
cana-5824	33	9	)	)	PUNCT
cana-5824	33	10	and	and	CCONJ
cana-5824	33	11	deep	deep	ADJ
cana-5824	33	12	learning	learning	NOUN
cana-5824	33	13	(	(	PUNCT
cana-5824	33	14	dl	dl	NOUN
cana-5824	33	15	)	)	PUNCT
cana-5824	33	16	methods	method	NOUN
cana-5824	33	17	improves	improve	VERB
cana-5824	33	18	the	the	DET
cana-5824	33	19	functionality	functionality	NOUN
cana-5824	33	20	of	of	ADP
cana-5824	33	21	electricity	electricity	NOUN
cana-5824	33	22	theft	theft	NOUN
cana-5824	33	23	detection	detection	NOUN
cana-5824	33	24	(	(	PUNCT
cana-5824	33	25	etd	etd	NOUN
cana-5824	33	26	)	)	PUNCT
cana-5824	33	27	systems	system	NOUN
cana-5824	33	28	.	.	PUNCT
cana-5824	34	1	zhou	zhou	PROPN
cana-5824	34	2	et	et	PROPN
cana-5824	34	3	al	al	PROPN
cana-5824	34	4	.	.	PUNCT
cana-5824	35	1	[	[	X
cana-5824	35	2	1	1	X
cana-5824	35	3	]	]	PUNCT
cana-5824	35	4	developed	develop	VERB
cana-5824	35	5	a	a	DET
cana-5824	35	6	convolutional	convolutional	ADJ
cana-5824	35	7	neural	neural	ADJ
cana-5824	35	8	network	network	NOUN
cana-5824	35	9	(	(	PUNCT
cana-5824	35	10	cnn)-based	cnn)-base	VERB
cana-5824	35	11	system	system	NOUN
cana-5824	35	12	to	to	PART
cana-5824	35	13	detect	detect	VERB
cana-5824	35	14	consumption	consumption	NOUN
cana-5824	35	15	pattern	pattern	NOUN
cana-5824	35	16	abnormalities	abnormality	NOUN
cana-5824	35	17	.	.	PUNCT
cana-5824	36	1	aldegheishem	aldegheishem	PROPN
cana-5824	36	2	et	et	PROPN
cana-5824	36	3	al	al	PROPN
cana-5824	36	4	.	.	PUNCT
cana-5824	37	1	[	[	X
cana-5824	37	2	2	2	NUM
cana-5824	37	3	]	]	PUNCT
cana-5824	37	4	investigated	investigate	VERB
cana-5824	37	5	neural	neural	ADJ
cana-5824	37	6	network	network	NOUN
cana-5824	37	7	enhancements	enhancement	NOUN
cana-5824	37	8	for	for	ADP
cana-5824	37	9	smart	smart	ADJ
cana-5824	37	10	grid	grid	NOUN
cana-5824	37	11	sustainability	sustainability	NOUN
cana-5824	37	12	through	through	ADP
cana-5824	37	13	intelligent	intelligent	ADJ
cana-5824	37	14	detection	detection	NOUN
cana-5824	37	15	procedures	procedure	NOUN
cana-5824	37	16	.	.	PUNCT
cana-5824	38	1	ali	ali	PROPN
cana-5824	38	2	et	et	PROPN
cana-5824	38	3	al	al	PROPN
cana-5824	38	4	.	.	PUNCT
cana-5824	39	1	[	[	X
cana-5824	39	2	3	3	NUM
cana-5824	39	3	]	]	PUNCT
cana-5824	39	4	identified	identify	VERB
cana-5824	39	5	electricity	electricity	NOUN
cana-5824	39	6	theft	theft	NOUN
cana-5824	39	7	patterns	pattern	NOUN
cana-5824	39	8	through	through	ADP
cana-5824	39	9	boosting	boost	VERB
cana-5824	39	10	algorithms	algorithm	NOUN
cana-5824	39	11	utilized	utilize	VERB
cana-5824	39	12	in	in	ADP
cana-5824	39	13	advanced	advanced	ADJ
cana-5824	39	14	metering	metering	NOUN
cana-5824	39	15	infrastructure	infrastructure	NOUN
cana-5824	39	16	(	(	PUNCT
cana-5824	39	17	ami	ami	NOUN
cana-5824	39	18	)	)	PUNCT
cana-5824	39	19	,	,	PUNCT
cana-5824	39	20	while	while	SCONJ
cana-5824	39	21	mujeeb	mujeeb	PROPN
cana-5824	39	22	et	et	PROPN
cana-5824	39	23	al	al	PROPN
cana-5824	39	24	.	.	PUNCT
cana-5824	40	1	[	[	X
cana-5824	40	2	4	4	X
cana-5824	40	3	]	]	PUNCT
cana-5824	40	4	developed	develop	VERB
cana-5824	40	5	automatic	automatic	ADJ
cana-5824	40	6	labeling	labeling	NOUN
cana-5824	40	7	systems	system	NOUN
cana-5824	40	8	integrating	integrate	VERB
cana-5824	40	9	rusboost	rusboost	ADJ
cana-5824	40	10	classification	classification	NOUN
cana-5824	40	11	through	through	ADP
cana-5824	40	12	differential	differential	ADJ
cana-5824	40	13	evolution	evolution	NOUN
cana-5824	40	14	and	and	CCONJ
cana-5824	40	15	jaya	jaya	PROPN
cana-5824	40	16	algorithms	algorithm	NOUN
cana-5824	40	17	.	.	PUNCT
cana-5824	41	1	etd	etd	PROPN
cana-5824	41	2	has	have	AUX
cana-5824	41	3	witnessed	witness	VERB
cana-5824	41	4	increasing	increase	VERB
cana-5824	41	5	adoption	adoption	NOUN
cana-5824	41	6	of	of	ADP
cana-5824	41	7	deep	deep	ADJ
cana-5824	41	8	learning	learning	NOUN
cana-5824	41	9	methods	method	NOUN
cana-5824	41	10	for	for	ADP
cana-5824	41	11	its	its	PRON
cana-5824	41	12	applications	application	NOUN
cana-5824	41	13	.	.	PUNCT
cana-5824	42	1	khan	khan	PROPN
cana-5824	42	2	et	et	PROPN
cana-5824	42	3	al	al	PROPN
cana-5824	42	4	.	.	PUNCT
cana-5824	43	1	[	[	X
cana-5824	43	2	5	5	NUM
cana-5824	43	3	]	]	PUNCT
cana-5824	43	4	demonstrated	demonstrate	VERB
cana-5824	43	5	that	that	SCONJ
cana-5824	43	6	the	the	DET
cana-5824	43	7	combination	combination	NOUN
cana-5824	43	8	of	of	ADP
cana-5824	43	9	stacked	stack	VERB
cana-5824	43	10	machine	machine	NOUN
cana-5824	43	11	learning	learn	VERB
cana-5824	43	12	with	with	ADP
cana-5824	43	13	deep	deep	ADJ
cana-5824	43	14	learning	learning	NOUN
cana-5824	43	15	models	model	NOUN
cana-5824	43	16	achieved	achieve	VERB
cana-5824	43	17	better	well	ADJ
cana-5824	43	18	theft	theft	NOUN
cana-5824	43	19	detection	detection	NOUN
cana-5824	43	20	accuracy	accuracy	NOUN
cana-5824	43	21	because	because	SCONJ
cana-5824	43	22	of	of	ADP
cana-5824	43	23	their	their	PRON
cana-5824	43	24	integrated	integrate	VERB
cana-5824	43	25	multiconcept	multiconcept	NOUN
cana-5824	43	26	approach	approach	NOUN
cana-5824	43	27	.	.	PUNCT
cana-5824	44	1	hussain	hussain	PROPN
cana-5824	44	2	et	et	PROPN
cana-5824	44	3	al	al	PROPN
cana-5824	44	4	.	.	PUNCT
cana-5824	45	1	[	[	X
cana-5824	45	2	6	6	NUM
cana-5824	45	3	]	]	PUNCT
cana-5824	45	4	showed	show	VERB
cana-5824	45	5	that	that	SCONJ
cana-5824	45	6	supervised	supervise	VERB
cana-5824	45	7	ml	ml	NOUN
cana-5824	45	8	-	-	PUNCT
cana-5824	45	9	based	base	VERB
cana-5824	45	10	etd	etd	NOUN
cana-5824	45	11	could	could	AUX
cana-5824	45	12	be	be	AUX
cana-5824	45	13	strengthened	strengthen	VERB
cana-5824	45	14	through	through	ADP
cana-5824	45	15	the	the	DET
cana-5824	45	16	use	use	NOUN
cana-5824	45	17	of	of	ADP
cana-5824	45	18	a	a	DET
cana-5824	45	19	catboost	catboost	ADJ
cana-5824	45	20	framework	framework	NOUN
cana-5824	45	21	with	with	ADP
cana-5824	45	22	engineered	engineer	VERB
cana-5824	45	23	features	feature	NOUN
cana-5824	45	24	which	which	PRON
cana-5824	45	25	proved	prove	VERB
cana-5824	45	26	excellent	excellent	ADJ
cana-5824	45	27	at	at	ADP
cana-5824	45	28	identifying	identify	VERB
cana-5824	45	29	optimal	optimal	ADJ
cana-5824	45	30	features	feature	NOUN
cana-5824	45	31	.	.	PUNCT
cana-5824	46	1	ali	ali	PROPN
cana-5824	46	2	et	et	PROPN
cana-5824	46	3	al	al	PROPN
cana-5824	46	4	.	.	PUNCT
cana-5824	47	1	[	[	X
cana-5824	47	2	7	7	X
cana-5824	47	3	]	]	PUNCT
cana-5824	47	4	showed	show	VERB
cana-5824	47	5	that	that	SCONJ
cana-5824	47	6	the	the	DET
cana-5824	47	7	detection	detection	NOUN
cana-5824	47	8	of	of	ADP
cana-5824	47	9	theft	theft	NOUN
cana-5824	47	10	cyberattacks	cyberattack	NOUN
cana-5824	47	11	becomes	become	VERB
cana-5824	47	12	more	more	ADV
cana-5824	47	13	effective	effective	ADJ
cana-5824	47	14	through	through	ADP
cana-5824	47	15	ml	ml	NOUN
cana-5824	47	16	-	-	PUNCT
cana-5824	47	17	based	base	VERB
cana-5824	47	18	solutions	solution	NOUN
cana-5824	47	19	.	.	PUNCT
cana-5824	48	1	arif	arif	PROPN
cana-5824	48	2	et	et	PROPN
cana-5824	48	3	al	al	PROPN
cana-5824	48	4	.	.	PUNCT
cana-5824	49	1	[	[	X
cana-5824	49	2	8	8	NUM
cana-5824	49	3	]	]	PUNCT
cana-5824	49	4	demonstrated	demonstrate	VERB
cana-5824	49	5	that	that	SCONJ
cana-5824	49	6	the	the	DET
cana-5824	49	7	integration	integration	NOUN
cana-5824	49	8	of	of	ADP
cana-5824	49	9	big	big	ADJ
cana-5824	49	10	data	datum	NOUN
cana-5824	49	11	analytics	analytic	NOUN
cana-5824	49	12	with	with	ADP
cana-5824	49	13	supervised	supervised	ADJ
cana-5824	49	14	ml	ml	PUNCT
cana-5824	49	15	enables	enable	VERB
cana-5824	49	16	efficient	efficient	ADJ
cana-5824	49	17	theft	theft	NOUN
cana-5824	49	18	behavior	behavior	NOUN
cana-5824	49	19	detection	detection	NOUN
cana-5824	49	20	in	in	ADP
cana-5824	49	21	microgrids	microgrid	NOUN
cana-5824	49	22	and	and	CCONJ
cana-5824	49	23	smart	smart	ADJ
cana-5824	49	24	communities	community	NOUN
cana-5824	49	25	.	.	PUNCT
cana-5824	50	1	abraham	abraham	PROPN
cana-5824	50	2	et	et	PROPN
cana-5824	50	3	al	al	PROPN
cana-5824	50	4	.	.	PUNCT
cana-5824	51	1	[	[	X
cana-5824	51	2	9	9	NUM
cana-5824	51	3	]	]	PUNCT
cana-5824	51	4	showed	show	VERB
cana-5824	51	5	how	how	SCONJ
cana-5824	51	6	the	the	DET
cana-5824	51	7	integration	integration	NOUN
cana-5824	51	8	of	of	ADP
cana-5824	51	9	real	real	ADJ
cana-5824	51	10	-	-	PUNCT
cana-5824	51	11	world	world	NOUN
cana-5824	51	12	attacks	attack	NOUN
cana-5824	51	13	with	with	ADP
cana-5824	51	14	synthesized	synthesize	VERB
cana-5824	51	15	simulations	simulation	NOUN
cana-5824	51	16	helps	help	VERB
cana-5824	51	17	smart	smart	ADJ
cana-5824	51	18	homes	home	NOUN
cana-5824	51	19	detect	detect	VERB
cana-5824	51	20	vulnerabilities	vulnerability	NOUN
cana-5824	51	21	based	base	VERB
cana-5824	51	22	on	on	ADP
cana-5824	51	23	ml	ml	NOUN
cana-5824	51	24	ability	ability	NOUN
cana-5824	51	25	to	to	PART
cana-5824	51	26	recognize	recognize	VERB
cana-5824	51	27	dynamic	dynamic	ADJ
cana-5824	51	28	attack	attack	NOUN
cana-5824	51	29	patterns	pattern	NOUN
cana-5824	51	30	.	.	PUNCT
cana-5824	52	1	yan	yan	PROPN
cana-5824	53	1	and	and	CCONJ
cana-5824	53	2	wen	wen	VERB
cana-5824	54	1	[	[	X
cana-5824	54	2	10	10	NUM
cana-5824	54	3	]	]	PUNCT
cana-5824	54	4	explored	explore	VERB
cana-5824	54	5	the	the	DET
cana-5824	54	6	effectiveness	effectiveness	NOUN
cana-5824	54	7	of	of	ADP
cana-5824	54	8	different	different	ADJ
cana-5824	54	9	models	model	NOUN
cana-5824	54	10	applied	apply	VERB
cana-5824	54	11	to	to	ADP
cana-5824	54	12	smart	smart	ADJ
cana-5824	54	13	grids	grid	NOUN
cana-5824	54	14	through	through	ADP
cana-5824	54	15	performance	performance	NOUN
cana-5824	54	16	analysis	analysis	NOUN
cana-5824	54	17	of	of	ADP
cana-5824	54	18	etd	etd	ADJ
cana-5824	54	19	techniques	technique	NOUN
cana-5824	54	20	.	.	PUNCT
cana-5824	55	1	prusty	prusty	PROPN
cana-5824	55	2	et	et	PROPN
cana-5824	55	3	al	al	PROPN
cana-5824	55	4	.	.	PUNCT
cana-5824	56	1	[	[	X
cana-5824	56	2	11	11	NUM
cana-5824	56	3	]	]	PUNCT
cana-5824	56	4	studied	study	VERB
cana-5824	56	5	xgboost	xgboost	X
cana-5824	56	6	optimization	optimization	NOUN
cana-5824	56	7	methods	method	NOUN
cana-5824	56	8	through	through	ADP
cana-5824	56	9	hyperparameter	hyperparameter	NOUN
cana-5824	56	10	optimization	optimization	NOUN
cana-5824	56	11	as	as	ADP
cana-5824	56	12	a	a	DET
cana-5824	56	13	way	way	NOUN
cana-5824	56	14	to	to	PART
cana-5824	56	15	boost	boost	VERB
cana-5824	56	16	detection	detection	NOUN
cana-5824	56	17	precision	precision	NOUN
cana-5824	56	18	.	.	PUNCT
cana-5824	57	1	pamir	pamir	PROPN
cana-5824	57	2	et	et	PROPN
cana-5824	57	3	al	al	PROPN
cana-5824	57	4	.	.	PUNCT
cana-5824	58	1	[	[	X
cana-5824	58	2	12	12	NUM
cana-5824	58	3	]	]	PUNCT
cana-5824	58	4	demonstrated	demonstrate	VERB
cana-5824	58	5	that	that	SCONJ
cana-5824	58	6	eco	eco	NOUN
cana-5824	58	7	-	-	PUNCT
cana-5824	58	8	terrorism	terrorism	NOUN
cana-5824	58	9	detection	detection	NOUN
cana-5824	58	10	improvements	improvement	NOUN
cana-5824	58	11	depend	depend	VERB
cana-5824	58	12	on	on	ADP
cana-5824	58	13	hybrid	hybrid	ADJ
cana-5824	58	14	models	model	NOUN
cana-5824	58	15	like	like	ADP
cana-5824	58	16	bilstmlogitboost	bilstmlogitboost	NOUN
cana-5824	58	17	stacking	stack	VERB
cana-5824	58	18	ensemble	ensemble	ADJ
cana-5824	58	19	which	which	PRON
cana-5824	58	20	show	show	VERB
cana-5824	58	21	better	well	ADJ
cana-5824	58	22	efficiency	efficiency	NOUN
cana-5824	58	23	compared	compare	VERB
cana-5824	58	24	to	to	ADP
cana-5824	58	25	standard	standard	ADJ
cana-5824	58	26	methods	method	NOUN
cana-5824	58	27	.	.	PUNCT
cana-5824	59	1	shehzad	shehzad	PROPN
cana-5824	59	2	et	et	PROPN
cana-5824	59	3	al	al	PROPN
cana-5824	59	4	.	.	PUNCT
cana-5824	60	1	[	[	X
cana-5824	60	2	13	13	NUM
cana-5824	60	3	]	]	PUNCT
cana-5824	60	4	showed	show	VERB
cana-5824	60	5	that	that	SCONJ
cana-5824	60	6	combining	combine	VERB
cana-5824	60	7	big	big	ADJ
cana-5824	60	8	data	datum	NOUN
cana-5824	60	9	technology	technology	NOUN
cana-5824	60	10	with	with	ADP
cana-5824	60	11	genetic	genetic	ADJ
cana-5824	60	12	algorithms	algorithms	NOUN
cana-5824	60	13	enables	enable	VERB
cana-5824	60	14	efficient	efficient	ADJ
cana-5824	60	15	processing	processing	NOUN
cana-5824	60	16	of	of	ADP
cana-5824	60	17	scale	scale	NOUN
cana-5824	60	18	power	power	NOUN
cana-5824	60	19	system	system	NOUN
cana-5824	60	20	data	datum	NOUN
cana-5824	60	21	for	for	ADP
cana-5824	60	22	theft	theft	NOUN
cana-5824	60	23	detection	detection	NOUN
cana-5824	60	24	.	.	PUNCT
cana-5824	61	1	prusty	prusty	PROPN
cana-5824	61	2	et	et	PROPN
cana-5824	61	3	al	al	PROPN
cana-5824	61	4	.	.	PUNCT
cana-5824	62	1	[	[	X
cana-5824	62	2	11	11	NUM
cana-5824	62	3	]	]	PUNCT
cana-5824	62	4	achieved	achieve	VERB
cana-5824	62	5	better	well	ADJ
cana-5824	62	6	classification	classification	NOUN
cana-5824	62	7	outcomes	outcome	NOUN
cana-5824	62	8	through	through	ADP
cana-5824	62	9	the	the	DET
cana-5824	62	10	blending	blending	NOUN
cana-5824	62	11	of	of	ADP
cana-5824	62	12	particle	particle	NOUN
cana-5824	62	13	swarm	swarm	NOUN
cana-5824	62	14	optimization	optimization	NOUN
cana-5824	62	15	with	with	ADP
cana-5824	62	16	jaya	jaya	PROPN
cana-5824	62	17	methods	method	NOUN
cana-5824	62	18	through	through	ADP
cana-5824	62	19	xgboost	xgboost	ADV
cana-5824	62	20	-	-	PUNCT
cana-5824	62	21	based	base	VERB
cana-5824	62	22	etd	etd	NOUN
cana-5824	62	23	models	model	NOUN
cana-5824	62	24	.	.	PUNCT
cana-5824	63	1	pamir	pamir	PROPN
cana-5824	63	2	et	et	PROPN
cana-5824	63	3	al	al	PROPN
cana-5824	63	4	.	.	PUNCT
cana-5824	64	1	[	[	X
cana-5824	64	2	14	14	NUM
cana-5824	64	3	]	]	PUNCT
cana-5824	64	4	demonstrated	demonstrate	VERB
cana-5824	64	5	the	the	DET
cana-5824	64	6	use	use	NOUN
cana-5824	64	7	of	of	ADP
cana-5824	64	8	stacking	stack	VERB
cana-5824	64	9	models	model	NOUN
cana-5824	64	10	combined	combine	VERB
cana-5824	64	11	with	with	ADP
cana-5824	64	12	boosting	boost	VERB
cana-5824	64	13	classifiers	classifier	NOUN
cana-5824	64	14	to	to	PART
cana-5824	64	15	identify	identify	VERB
cana-5824	64	16	non	non	ADJ
cana-5824	64	17	-	-	ADJ
cana-5824	64	18	technical	technical	ADJ
cana-5824	64	19	losses	loss	NOUN
cana-5824	64	20	in	in	ADP
cana-5824	64	21	smart	smart	ADJ
cana-5824	64	22	grids	grid	NOUN
cana-5824	64	23	through	through	ADP
cana-5824	64	24	ensemble	ensemble	ADJ
cana-5824	64	25	learning	learning	NOUN
cana-5824	64	26	techniques	technique	NOUN
cana-5824	64	27	.	.	PUNCT
cana-5824	65	1	soares	soar	VERB
cana-5824	65	2	et	et	PROPN
cana-5824	65	3	al	al	PROPN
cana-5824	65	4	.	.	PUNCT
cana-5824	66	1	[	[	X
cana-5824	66	2	15	15	NUM
cana-5824	66	3	]	]	PUNCT
cana-5824	66	4	showed	show	VERB
cana-5824	66	5	that	that	SCONJ
cana-5824	66	6	bigru	bigru	PROPN
cana-5824	66	7	-	-	PUNCT
cana-5824	66	8	cnn	cnn	PROPN
cana-5824	66	9	hybrid	hybrid	ADJ
cana-5824	66	10	neural	neural	ADJ
cana-5824	66	11	networks	network	NOUN
cana-5824	66	12	have	have	AUX
cana-5824	66	13	achieved	achieve	VERB
cana-5824	66	14	significant	significant	ADJ
cana-5824	66	15	success	success	NOUN
cana-5824	66	16	when	when	SCONJ
cana-5824	66	17	detecting	detect	VERB
cana-5824	66	18	energy	energy	NOUN
cana-5824	66	19	theft	theft	NOUN
cana-5824	66	20	.	.	PUNCT
cana-5824	67	1	yan	yan	PROPN
cana-5824	68	1	and	and	CCONJ
cana-5824	68	2	wen	wen	VERB
cana-5824	69	1	[	[	X
cana-5824	69	2	16	16	NUM
cana-5824	69	3	]	]	PUNCT
cana-5824	69	4	analyzed	analyze	VERB
cana-5824	69	5	ami	ami	NOUN
cana-5824	69	6	data	datum	NOUN
cana-5824	69	7	with	with	ADP
cana-5824	69	8	xgboost	xgboost	ADV
cana-5824	69	9	and	and	CCONJ
cana-5824	69	10	showed	show	VERB
cana-5824	69	11	this	this	DET
cana-5824	69	12	algorithm	algorithm	NOUN
cana-5824	69	13	effectively	effectively	ADV
cana-5824	69	14	identifies	identify	VERB
cana-5824	69	15	complex	complex	ADJ
cana-5824	69	16	theft	theft	NOUN
cana-5824	69	17	patterns	pattern	NOUN
cana-5824	69	18	.	.	PUNCT
cana-5824	70	1	chen	chen	PROPN
cana-5824	70	2	et	et	PROPN
cana-5824	70	3	al	al	PROPN
cana-5824	70	4	.	.	PUNCT
cana-5824	71	1	[	[	X
cana-5824	71	2	17	17	NUM
cana-5824	71	3	]	]	PUNCT
cana-5824	71	4	showed	show	VERB
cana-5824	71	5	how	how	SCONJ
cana-5824	71	6	intelligent	intelligent	ADJ
cana-5824	71	7	algorithms	algorithm	NOUN
cana-5824	71	8	employing	employ	VERB
cana-5824	71	9	data	data	NOUN
cana-5824	71	10	-	-	PUNCT
cana-5824	71	11	driven	drive	VERB
cana-5824	71	12	approaches	approach	NOUN
cana-5824	71	13	have	have	AUX
cana-5824	71	14	benefited	benefit	VERB
cana-5824	71	15	etd	etd	ADJ
cana-5824	71	16	accuracy	accuracy	NOUN
cana-5824	71	17	by	by	ADP
cana-5824	71	18	introducing	introduce	VERB
cana-5824	71	19	sophisticated	sophisticated	ADJ
cana-5824	71	20	feature	feature	NOUN
cana-5824	71	21	selection	selection	NOUN
cana-5824	71	22	methods	method	NOUN
cana-5824	71	23	.	.	PUNCT
cana-5824	72	1	yang	yang	PROPN
cana-5824	72	2	et	et	PROPN
cana-5824	72	3	al	al	PROPN
cana-5824	72	4	.	.	PUNCT
cana-5824	73	1	[	[	X
cana-5824	73	2	18	18	NUM
cana-5824	73	3	]	]	PUNCT
cana-5824	73	4	implemented	implement	VERB
cana-5824	73	5	updated	update	VERB
cana-5824	73	6	approaches	approach	NOUN
cana-5824	73	7	to	to	ADP
cana-5824	73	8	self	self	NOUN
cana-5824	73	9	-	-	PUNCT
cana-5824	73	10	decision	decision	NOUN
cana-5824	73	11	ant	ant	ADJ
cana-5824	73	12	colony	colony	NOUN
cana-5824	73	13	clustering	cluster	VERB
cana-5824	73	14	developed	develop	VERB
cana-5824	73	15	enhanced	enhanced	ADJ
cana-5824	73	16	clustering	clustering	NOUN
cana-5824	73	17	based	base	VERB
cana-5824	73	18	theft	theft	NOUN
cana-5824	73	19	detection	detection	NOUN
cana-5824	73	20	communications	communication	NOUN
cana-5824	73	21	on	on	ADP
cana-5824	73	22	applied	apply	VERB
cana-5824	73	23	nonlinear	nonlinear	ADJ
cana-5824	73	24	analysis	analysis	NOUN
cana-5824	73	25	issn	issn	NOUN
cana-5824	73	26	:	:	PUNCT
cana-5824	73	27	1074	1074	NUM
cana-5824	73	28	-	-	PUNCT
cana-5824	73	29	133x	133x	NUM
cana-5824	73	30	vol	vol	VERB
cana-5824	73	31	32	32	NUM
cana-5824	73	32	no	no	NOUN
cana-5824	73	33	.	.	PUNCT
cana-5824	74	1	10s	10	NOUN
cana-5824	74	2	(	(	PUNCT
cana-5824	74	3	2025	2025	NUM
cana-5824	74	4	)	)	PUNCT
cana-5824	74	5	2864	2864	NUM
cana-5824	74	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	74	7	models	model	NOUN
cana-5824	74	8	.	.	PUNCT
cana-5824	75	1	nirmal	nirmal	PROPN
cana-5824	75	2	et	et	PROPN
cana-5824	75	3	al	al	PROPN
cana-5824	75	4	.	.	PUNCT
cana-5824	76	1	[	[	X
cana-5824	76	2	19	19	NUM
cana-5824	76	3	]	]	PUNCT
cana-5824	76	4	implemented	implement	VERB
cana-5824	76	5	cnn	cnn	PROPN
cana-5824	76	6	-	-	PUNCT
cana-5824	76	7	adaboost	adaboost	ADJ
cana-5824	76	8	hybrid	hybrid	NOUN
cana-5824	76	9	models	model	NOUN
cana-5824	76	10	to	to	PART
cana-5824	76	11	boost	boost	VERB
cana-5824	76	12	classification	classification	NOUN
cana-5824	76	13	performance	performance	NOUN
cana-5824	76	14	.	.	PUNCT
cana-5824	77	1	appiah	appiah	PROPN
cana-5824	77	2	et	et	PROPN
cana-5824	77	3	al	al	PROPN
cana-5824	77	4	.	.	PUNCT
cana-5824	78	1	[	[	X
cana-5824	78	2	20	20	NUM
cana-5824	78	3	]	]	PUNCT
cana-5824	78	4	showed	show	VERB
cana-5824	78	5	that	that	SCONJ
cana-5824	78	6	temperament	temperament	NOUN
cana-5824	78	7	-	-	PUNCT
cana-5824	78	8	based	base	VERB
cana-5824	78	9	modeling	modeling	NOUN
cana-5824	78	10	techniques	technique	NOUN
cana-5824	78	11	,	,	PUNCT
cana-5824	78	12	specifically	specifically	ADV
cana-5824	78	13	the	the	DET
cana-5824	78	14	extremely	extremely	ADV
cana-5824	78	15	randomized	randomized	ADJ
cana-5824	78	16	trees	tree	NOUN
cana-5824	78	17	(	(	PUNCT
cana-5824	78	18	ets	et	NOUN
cana-5824	78	19	)	)	PUNCT
cana-5824	78	20	have	have	AUX
cana-5824	78	21	proven	prove	VERB
cana-5824	78	22	useful	useful	ADJ
cana-5824	78	23	for	for	ADP
cana-5824	78	24	etd	etd	NOUN
cana-5824	78	25	applications	application	NOUN
cana-5824	78	26	because	because	SCONJ
cana-5824	78	27	they	they	PRON
cana-5824	78	28	generate	generate	VERB
cana-5824	78	29	solutions	solution	NOUN
cana-5824	78	30	that	that	PRON
cana-5824	78	31	are	be	AUX
cana-5824	78	32	simple	simple	ADJ
cana-5824	78	33	to	to	PART
cana-5824	78	34	interpret	interpret	VERB
cana-5824	78	35	and	and	CCONJ
cana-5824	78	36	maintain	maintain	VERB
cana-5824	78	37	stability	stability	NOUN
cana-5824	78	38	.	.	PUNCT
cana-5824	79	1	nawaz	nawaz	PROPN
cana-5824	79	2	et	et	PROPN
cana-5824	79	3	al	al	PROPN
cana-5824	79	4	.	.	PUNCT
cana-5824	80	1	[	[	X
cana-5824	80	2	21	21	NUM
cana-5824	80	3	]	]	PUNCT
cana-5824	80	4	demonstrated	demonstrate	VERB
cana-5824	80	5	that	that	SCONJ
cana-5824	80	6	secure	secure	ADJ
cana-5824	80	7	smart	smart	ADJ
cana-5824	80	8	grids	grid	NOUN
cana-5824	80	9	benefit	benefit	VERB
cana-5824	80	10	from	from	ADP
cana-5824	80	11	improved	improve	VERB
cana-5824	80	12	classification	classification	NOUN
cana-5824	80	13	precision	precision	NOUN
cana-5824	80	14	after	after	ADP
cana-5824	80	15	integrating	integrate	VERB
cana-5824	80	16	cnn	cnn	PROPN
cana-5824	80	17	and	and	CCONJ
cana-5824	80	18	xgboost	xgboost	PROPN
cana-5824	80	19	techniques	technique	NOUN
cana-5824	80	20	.	.	PUNCT
cana-5824	81	1	ullah	ullah	PROPN
cana-5824	81	2	et	et	PROPN
cana-5824	81	3	al	al	PROPN
cana-5824	81	4	.	.	PUNCT
cana-5824	82	1	[	[	X
cana-5824	82	2	22	22	NUM
cana-5824	82	3	]	]	PUNCT
cana-5824	82	4	introduced	introduce	VERB
cana-5824	82	5	deep	deep	ADJ
cana-5824	82	6	neural	neural	ADJ
cana-5824	82	7	networks	network	NOUN
cana-5824	82	8	that	that	PRON
cana-5824	82	9	include	include	VERB
cana-5824	82	10	both	both	DET
cana-5824	82	11	cnn	cnn	PROPN
cana-5824	82	12	architectures	architecture	NOUN
cana-5824	82	13	alongside	alongside	ADP
cana-5824	82	14	gru	gru	NOUN
cana-5824	82	15	designs	design	NOUN
cana-5824	82	16	which	which	PRON
cana-5824	82	17	consistently	consistently	ADV
cana-5824	82	18	delivered	deliver	VERB
cana-5824	82	19	enhanced	enhanced	ADJ
cana-5824	82	20	crossdataset	crossdataset	NOUN
cana-5824	82	21	generalization	generalization	NOUN
cana-5824	82	22	.	.	PUNCT
cana-5824	83	1	zheng	zheng	PROPN
cana-5824	83	2	et	et	PROPN
cana-5824	83	3	al	al	PROPN
cana-5824	83	4	.	.	PUNCT
cana-5824	84	1	[	[	X
cana-5824	84	2	23	23	NUM
cana-5824	84	3	]	]	PUNCT
cana-5824	84	4	showed	show	VERB
cana-5824	84	5	that	that	SCONJ
cana-5824	84	6	wide	wide	ADJ
cana-5824	84	7	and	and	CCONJ
cana-5824	84	8	deep	deep	ADJ
cana-5824	84	9	cnns	cnn	NOUN
cana-5824	84	10	have	have	VERB
cana-5824	84	11	remarkable	remarkable	ADJ
cana-5824	84	12	success	success	NOUN
cana-5824	84	13	at	at	ADP
cana-5824	84	14	protecting	protect	VERB
cana-5824	84	15	smart	smart	ADJ
cana-5824	84	16	grids	grid	NOUN
cana-5824	84	17	from	from	ADP
cana-5824	84	18	electricity	electricity	NOUN
cana-5824	84	19	theft	theft	NOUN
cana-5824	84	20	.	.	PUNCT
cana-5824	85	1	the	the	DET
cana-5824	85	2	sgcc	sgcc	PROPN
cana-5824	85	3	electricity	electricity	NOUN
cana-5824	85	4	consumption	consumption	NOUN
cana-5824	85	5	dataset	dataset	VERB
cana-5824	86	1	[	[	PUNCT
cana-5824	86	2	24	24	NUM
cana-5824	86	3	]	]	PUNCT
cana-5824	86	4	serves	serve	VERB
cana-5824	86	5	as	as	ADP
cana-5824	86	6	an	an	DET
cana-5824	86	7	important	important	ADJ
cana-5824	86	8	publicly	publicly	ADV
cana-5824	86	9	available	available	ADJ
cana-5824	86	10	dataset	dataset	NOUN
cana-5824	86	11	for	for	ADP
cana-5824	86	12	constantly	constantly	ADV
cana-5824	86	13	training	train	VERB
cana-5824	86	14	and	and	CCONJ
cana-5824	86	15	testing	test	VERB
cana-5824	86	16	different	different	ADJ
cana-5824	86	17	ml	ml	NOUN
cana-5824	86	18	and	and	CCONJ
cana-5824	86	19	dl	dl	PROPN
cana-5824	86	20	models	model	NOUN
cana-5824	86	21	used	use	VERB
cana-5824	86	22	in	in	ADP
cana-5824	86	23	etd	etd	NOUN
cana-5824	86	24	while	while	SCONJ
cana-5824	86	25	enabling	enable	VERB
cana-5824	86	26	verification	verification	NOUN
cana-5824	86	27	and	and	CCONJ
cana-5824	86	28	performance	performance	NOUN
cana-5824	86	29	comparison	comparison	NOUN
cana-5824	86	30	among	among	ADP
cana-5824	86	31	approaches	approach	NOUN
cana-5824	86	32	although	although	SCONJ
cana-5824	86	33	there	there	PRON
cana-5824	86	34	have	have	AUX
cana-5824	86	35	been	be	AUX
cana-5824	86	36	many	many	ADJ
cana-5824	86	37	advances	advance	NOUN
cana-5824	86	38	in	in	ADP
cana-5824	86	39	the	the	DET
cana-5824	86	40	field	field	NOUN
cana-5824	86	41	of	of	ADP
cana-5824	86	42	electricity	electricity	NOUN
cana-5824	86	43	theft	theft	NOUN
cana-5824	86	44	detection	detection	NOUN
cana-5824	86	45	,	,	PUNCT
cana-5824	86	46	some	some	PRON
cana-5824	86	47	of	of	ADP
cana-5824	86	48	the	the	DET
cana-5824	86	49	gaps	gap	NOUN
cana-5824	86	50	exist	exist	VERB
cana-5824	86	51	in	in	ADP
cana-5824	86	52	the	the	DET
cana-5824	86	53	field	field	NOUN
cana-5824	86	54	.	.	PUNCT
cana-5824	87	1	the	the	DET
cana-5824	87	2	problem	problem	NOUN
cana-5824	87	3	with	with	ADP
cana-5824	87	4	many	many	ADJ
cana-5824	87	5	of	of	ADP
cana-5824	87	6	them	they	PRON
cana-5824	87	7	is	be	AUX
cana-5824	87	8	that	that	SCONJ
cana-5824	87	9	they	they	PRON
cana-5824	87	10	can	can	AUX
cana-5824	87	11	be	be	AUX
cana-5824	87	12	scaled	scale	VERB
cana-5824	87	13	down	down	ADP
cana-5824	87	14	for	for	ADP
cana-5824	87	15	use	use	NOUN
cana-5824	87	16	in	in	ADP
cana-5824	87	17	large	large	ADJ
cana-5824	87	18	databases	database	NOUN
cana-5824	87	19	and	and	CCONJ
cana-5824	87	20	often	often	ADV
cana-5824	87	21	fail	fail	VERB
cana-5824	87	22	to	to	PART
cana-5824	87	23	make	make	VERB
cana-5824	87	24	balanced	balanced	ADJ
cana-5824	87	25	attacks	attack	NOUN
cana-5824	87	26	such	such	ADJ
cana-5824	87	27	as	as	ADP
cana-5824	87	28	theft	theft	NOUN
cana-5824	87	29	mimic	mimic	VERB
cana-5824	87	30	normal	normal	ADJ
cana-5824	87	31	use	use	NOUN
cana-5824	87	32	.	.	PUNCT
cana-5824	88	1	the	the	DET
cana-5824	88	2	issues	issue	NOUN
cana-5824	88	3	related	relate	VERB
cana-5824	88	4	to	to	ADP
cana-5824	88	5	the	the	DET
cana-5824	88	6	limited	limited	ADJ
cana-5824	88	7	datasets	dataset	NOUN
cana-5824	88	8	,	,	PUNCT
cana-5824	88	9	noise	noise	NOUN
cana-5824	88	10	,	,	PUNCT
cana-5824	88	11	and	and	CCONJ
cana-5824	88	12	imbalance	imbalance	NOUN
cana-5824	88	13	class	class	NOUN
cana-5824	88	14	are	be	AUX
cana-5824	88	15	still	still	ADV
cana-5824	88	16	challenging	challenge	VERB
cana-5824	88	17	even	even	ADV
cana-5824	88	18	if	if	SCONJ
cana-5824	88	19	applying	apply	VERB
cana-5824	88	20	methods	method	NOUN
cana-5824	88	21	as	as	ADP
cana-5824	88	22	smote	smote	NOUN
cana-5824	88	23	and	and	CCONJ
cana-5824	88	24	adasyn	adasyn	PROPN
cana-5824	88	25	.	.	PUNCT
cana-5824	88	26	models	model	NOUN
cana-5824	88	27	that	that	PRON
cana-5824	88	28	either	either	CCONJ
cana-5824	88	29	depend	depend	VERB
cana-5824	88	30	on	on	ADP
cana-5824	88	31	a	a	DET
cana-5824	88	32	set	set	NOUN
cana-5824	88	33	of	of	ADP
cana-5824	88	34	previous	previous	ADJ
cana-5824	88	35	data	datum	NOUN
cana-5824	88	36	or	or	CCONJ
cana-5824	88	37	large	large	ADJ
cana-5824	88	38	complex	complex	ADJ
cana-5824	88	39	computer	computer	NOUN
cana-5824	88	40	structures	structure	NOUN
cana-5824	88	41	are	be	AUX
cana-5824	88	42	currently	currently	ADV
cana-5824	88	43	not	not	PART
cana-5824	88	44	fit	fit	ADJ
cana-5824	88	45	for	for	ADP
cana-5824	88	46	real	real	ADJ
cana-5824	88	47	-	-	PUNCT
cana-5824	88	48	time	time	NOUN
cana-5824	88	49	use	use	NOUN
cana-5824	88	50	;	;	PUNCT
cana-5824	88	51	advanced	advanced	ADJ
cana-5824	88	52	models	model	NOUN
cana-5824	88	53	such	such	ADJ
cana-5824	88	54	as	as	ADP
cana-5824	88	55	graph	graph	NOUN
cana-5824	88	56	-	-	PUNCT
cana-5824	88	57	based	base	VERB
cana-5824	88	58	models	model	NOUN
cana-5824	88	59	and	and	CCONJ
cana-5824	88	60	some	some	DET
cana-5824	88	61	deep	deep	ADJ
cana-5824	88	62	learning	learning	NOUN
cana-5824	88	63	include	include	VERB
cana-5824	88	64	the	the	DET
cana-5824	88	65	use	use	NOUN
cana-5824	88	66	of	of	ADP
cana-5824	88	67	hybrid	hybrid	ADJ
cana-5824	88	68	approaches	approach	NOUN
cana-5824	88	69	,	,	PUNCT
cana-5824	88	70	however	however	ADV
cana-5824	88	71	,	,	PUNCT
cana-5824	88	72	the	the	DET
cana-5824	88	73	overall	overall	ADJ
cana-5824	88	74	performance	performance	NOUN
cana-5824	88	75	must	must	AUX
cana-5824	88	76	still	still	ADV
cana-5824	88	77	be	be	AUX
cana-5824	88	78	fine	fine	ADV
cana-5824	88	79	-	-	PUNCT
cana-5824	88	80	tuned	tune	VERB
cana-5824	88	81	for	for	ADP
cana-5824	88	82	practical	practical	ADJ
cana-5824	88	83	use	use	NOUN
cana-5824	88	84	.	.	PUNCT
cana-5824	89	1	furthermore	furthermore	ADV
cana-5824	89	2	,	,	PUNCT
cana-5824	89	3	many	many	ADJ
cana-5824	89	4	feature	feature	NOUN
cana-5824	89	5	engineering	engineering	NOUN
cana-5824	89	6	methods	method	NOUN
cana-5824	89	7	and	and	CCONJ
cana-5824	89	8	managing	manage	VERB
cana-5824	89	9	temporal	temporal	ADJ
cana-5824	89	10	spatial	spatial	ADJ
cana-5824	89	11	patterns	pattern	NOUN
cana-5824	89	12	introduced	introduce	VERB
cana-5824	89	13	require	require	VERB
cana-5824	89	14	further	further	ADJ
cana-5824	89	15	enhancement	enhancement	NOUN
cana-5824	89	16	to	to	PART
cana-5824	89	17	be	be	AUX
cana-5824	89	18	more	more	ADV
cana-5824	89	19	stable	stable	ADJ
cana-5824	89	20	and	and	CCONJ
cana-5824	89	21	applicable	applicable	ADJ
cana-5824	89	22	for	for	ADP
cana-5824	89	23	practical	practical	ADJ
cana-5824	89	24	smart	smart	ADJ
cana-5824	89	25	grid	grid	NOUN
cana-5824	89	26	systems	system	NOUN
cana-5824	89	27	.	.	PUNCT
cana-5824	90	1	after	after	ADP
cana-5824	90	2	analyzing	analyze	VERB
cana-5824	90	3	the	the	DET
cana-5824	90	4	above	above	ADJ
cana-5824	90	5	literature	literature	NOUN
cana-5824	90	6	,	,	PUNCT
cana-5824	90	7	we	we	PRON
cana-5824	90	8	have	have	AUX
cana-5824	90	9	identified	identify	VERB
cana-5824	90	10	most	most	ADV
cana-5824	90	11	important	important	ADJ
cana-5824	90	12	research	research	NOUN
cana-5824	90	13	objectives	objective	NOUN
cana-5824	90	14	to	to	PART
cana-5824	90	15	addressed	address	VERB
cana-5824	90	16	.	.	PUNCT
cana-5824	91	1	the	the	DET
cana-5824	91	2	goal	goal	NOUN
cana-5824	91	3	of	of	ADP
cana-5824	91	4	this	this	DET
cana-5824	91	5	study	study	NOUN
cana-5824	91	6	were	be	AUX
cana-5824	91	7	developed	develop	VERB
cana-5824	91	8	to	to	PART
cana-5824	91	9	succeed	succeed	VERB
cana-5824	91	10	in	in	ADP
cana-5824	91	11	achieving	achieve	VERB
cana-5824	91	12	those	those	DET
cana-5824	91	13	objectives	objective	NOUN
cana-5824	91	14	below	below	ADV
cana-5824	91	15	,	,	PUNCT
cana-5824	91	16	which	which	PRON
cana-5824	91	17	was	be	AUX
cana-5824	91	18	aimed	aim	VERB
cana-5824	91	19	at	at	ADP
cana-5824	91	20	responding	respond	VERB
cana-5824	91	21	to	to	ADP
cana-5824	91	22	some	some	PRON
cana-5824	91	23	of	of	ADP
cana-5824	91	24	the	the	DET
cana-5824	91	25	hurdles	hurdle	NOUN
cana-5824	91	26	in	in	ADP
cana-5824	91	27	detecting	detect	VERB
cana-5824	91	28	electricity	electricity	NOUN
cana-5824	91	29	theft	theft	NOUN
cana-5824	91	30	.	.	PUNCT
cana-5824	92	1	1	1	X
cana-5824	92	2	.	.	X
cana-5824	92	3	one	one	NUM
cana-5824	92	4	of	of	ADP
cana-5824	92	5	the	the	DET
cana-5824	92	6	primary	primary	ADJ
cana-5824	92	7	objectives	objective	NOUN
cana-5824	92	8	was	be	AUX
cana-5824	92	9	to	to	PART
cana-5824	92	10	achieve	achieve	VERB
cana-5824	92	11	the	the	DET
cana-5824	92	12	highest	high	ADJ
cana-5824	92	13	possible	possible	ADJ
cana-5824	92	14	value	value	NOUN
cana-5824	92	15	of	of	ADP
cana-5824	92	16	roc	roc	PROPN
cana-5824	92	17	auc	auc	NOUN
cana-5824	92	18	as	as	SCONJ
cana-5824	92	19	to	to	PART
cana-5824	92	20	distinguish	distinguish	VERB
cana-5824	92	21	between	between	ADP
cana-5824	92	22	genuine	genuine	ADJ
cana-5824	92	23	and	and	CCONJ
cana-5824	92	24	theft	theft	NOUN
cana-5824	92	25	events	event	NOUN
cana-5824	92	26	.	.	PUNCT
cana-5824	93	1	2	2	X
cana-5824	93	2	.	.	X
cana-5824	93	3	furthermore	furthermore	ADV
cana-5824	93	4	,	,	PUNCT
cana-5824	93	5	measures	measure	NOUN
cana-5824	93	6	were	be	AUX
cana-5824	93	7	taken	take	VERB
cana-5824	93	8	to	to	PART
cana-5824	93	9	reduce	reduce	VERB
cana-5824	93	10	fpr	fpr	PRON
cana-5824	93	11	and	and	CCONJ
cana-5824	93	12	fnr	fnr	NOUN
cana-5824	93	13	which	which	PRON
cana-5824	93	14	will	will	AUX
cana-5824	93	15	not	not	PART
cana-5824	93	16	punish	punish	VERB
cana-5824	93	17	the	the	DET
cana-5824	93	18	genuine	genuine	ADJ
cana-5824	93	19	users	user	NOUN
cana-5824	93	20	and	and	CCONJ
cana-5824	93	21	at	at	ADP
cana-5824	93	22	the	the	DET
cana-5824	93	23	same	same	ADJ
cana-5824	93	24	time	time	NOUN
cana-5824	93	25	ensure	ensure	VERB
cana-5824	93	26	that	that	SCONJ
cana-5824	93	27	the	the	DET
cana-5824	93	28	theft	theft	NOUN
cana-5824	93	29	incidence	incidence	NOUN
cana-5824	93	30	is	be	AUX
cana-5824	93	31	detected	detect	VERB
cana-5824	93	32	.	.	PUNCT
cana-5824	94	1	specifically	specifically	ADV
cana-5824	94	2	,	,	PUNCT
cana-5824	94	3	to	to	PART
cana-5824	94	4	address	address	VERB
cana-5824	94	5	the	the	DET
cana-5824	94	6	problem	problem	NOUN
cana-5824	94	7	of	of	ADP
cana-5824	94	8	unpaid	unpaid	ADJ
cana-5824	94	9	cases	case	NOUN
cana-5824	94	10	dominating	dominate	VERB
cana-5824	94	11	the	the	DET
cana-5824	94	12	datasets	dataset	NOUN
cana-5824	94	13	,	,	PUNCT
cana-5824	94	14	the	the	DET
cana-5824	94	15	adasyn	adasyn	NOUN
cana-5824	94	16	oversampling	oversampling	NOUN
cana-5824	94	17	method	method	NOUN
cana-5824	94	18	was	be	AUX
cana-5824	94	19	applied	apply	VERB
cana-5824	94	20	to	to	PART
cana-5824	94	21	increase	increase	VERB
cana-5824	94	22	the	the	DET
cana-5824	94	23	number	number	NOUN
cana-5824	94	24	of	of	ADP
cana-5824	94	25	features	feature	NOUN
cana-5824	94	26	corresponding	correspond	VERB
cana-5824	94	27	to	to	ADP
cana-5824	94	28	thefts	theft	NOUN
cana-5824	94	29	.	.	PUNCT
cana-5824	95	1	3	3	X
cana-5824	95	2	.	.	X
cana-5824	95	3	last	last	ADJ
cana-5824	95	4	,	,	PUNCT
cana-5824	95	5	the	the	DET
cana-5824	95	6	performance	performance	NOUN
cana-5824	95	7	of	of	ADP
cana-5824	95	8	various	various	ADJ
cana-5824	95	9	base	base	NOUN
cana-5824	95	10	and	and	CCONJ
cana-5824	95	11	ensemble	ensemble	ADJ
cana-5824	95	12	models	model	NOUN
cana-5824	95	13	were	be	AUX
cana-5824	95	14	compared	compare	VERB
cana-5824	95	15	in	in	ADP
cana-5824	95	16	order	order	NOUN
cana-5824	95	17	to	to	PART
cana-5824	95	18	check	check	VERB
cana-5824	95	19	which	which	DET
cana-5824	95	20	methodology	methodology	NOUN
cana-5824	95	21	would	would	AUX
cana-5824	95	22	be	be	AUX
cana-5824	95	23	most	most	ADV
cana-5824	95	24	effective	effective	ADJ
cana-5824	95	25	to	to	PART
cana-5824	95	26	use	use	VERB
cana-5824	95	27	for	for	ADP
cana-5824	95	28	theft	theft	NOUN
cana-5824	95	29	detection	detection	NOUN
cana-5824	95	30	in	in	ADP
cana-5824	95	31	enhancing	enhance	VERB
cana-5824	95	32	the	the	DET
cana-5824	95	33	model	model	NOUN
cana-5824	95	34	’s	’s	PART
cana-5824	95	35	robustness	robustness	NOUN
cana-5824	95	36	.	.	PUNCT
cana-5824	96	1	3	3	X
cana-5824	96	2	.	.	X
cana-5824	96	3	methodology	methodology	NOUN
cana-5824	96	4	the	the	DET
cana-5824	96	5	methodology	methodology	NOUN
cana-5824	96	6	used	use	VERB
cana-5824	96	7	in	in	ADP
cana-5824	96	8	this	this	DET
cana-5824	96	9	research	research	NOUN
cana-5824	96	10	is	be	AUX
cana-5824	96	11	designed	design	VERB
cana-5824	96	12	to	to	PART
cana-5824	96	13	systematically	systematically	ADV
cana-5824	96	14	address	address	VERB
cana-5824	96	15	the	the	DET
cana-5824	96	16	challenges	challenge	NOUN
cana-5824	96	17	of	of	ADP
cana-5824	96	18	detecting	detect	VERB
cana-5824	96	19	electricity	electricity	NOUN
cana-5824	96	20	theft	theft	NOUN
cana-5824	96	21	,	,	PUNCT
cana-5824	96	22	including	include	VERB
cana-5824	96	23	class	class	NOUN
cana-5824	96	24	imbalance	imbalance	NOUN
cana-5824	96	25	,	,	PUNCT
cana-5824	96	26	data	datum	NOUN
cana-5824	96	27	preprocessing	preprocessing	NOUN
cana-5824	96	28	,	,	PUNCT
cana-5824	96	29	and	and	CCONJ
cana-5824	96	30	model	model	NOUN
cana-5824	96	31	evaluation	evaluation	NOUN
cana-5824	96	32	.	.	PUNCT
cana-5824	97	1	the	the	DET
cana-5824	97	2	proposed	propose	VERB
cana-5824	97	3	solution	solution	NOUN
cana-5824	97	4	integrates	integrate	VERB
cana-5824	97	5	advanced	advanced	ADJ
cana-5824	97	6	ensemble	ensemble	ADJ
cana-5824	97	7	techniques	technique	NOUN
cana-5824	97	8	,	,	PUNCT
cana-5824	97	9	culminating	culminate	VERB
cana-5824	97	10	in	in	ADP
cana-5824	97	11	a	a	DET
cana-5824	97	12	stacked	stack	VERB
cana-5824	97	13	model	model	NOUN
cana-5824	97	14	configuration	configuration	NOUN
cana-5824	97	15	.	.	PUNCT
cana-5824	98	1	each	each	DET
cana-5824	98	2	aspect	aspect	NOUN
cana-5824	98	3	of	of	ADP
cana-5824	98	4	the	the	DET
cana-5824	98	5	methodology	methodology	NOUN
cana-5824	98	6	is	be	AUX
cana-5824	98	7	elaborated	elaborate	VERB
cana-5824	98	8	upon	upon	SCONJ
cana-5824	98	9	in	in	ADP
cana-5824	98	10	the	the	DET
cana-5824	98	11	sections	section	NOUN
cana-5824	98	12	below	below	ADV
cana-5824	98	13	,	,	PUNCT
cana-5824	98	14	providing	provide	VERB
cana-5824	98	15	an	an	DET
cana-5824	98	16	expansive	expansive	ADJ
cana-5824	98	17	and	and	CCONJ
cana-5824	98	18	communications	communication	NOUN
cana-5824	98	19	on	on	ADP
cana-5824	98	20	applied	apply	VERB
cana-5824	98	21	nonlinear	nonlinear	ADJ
cana-5824	98	22	analysis	analysis	NOUN
cana-5824	98	23	issn	issn	NOUN
cana-5824	98	24	:	:	PUNCT
cana-5824	98	25	1074	1074	NUM
cana-5824	98	26	-	-	PUNCT
cana-5824	98	27	133x	133x	NUM
cana-5824	98	28	vol	vol	VERB
cana-5824	98	29	32	32	NUM
cana-5824	98	30	no	no	NOUN
cana-5824	98	31	.	.	PUNCT
cana-5824	99	1	10s	10	NOUN
cana-5824	99	2	(	(	PUNCT
cana-5824	99	3	2025	2025	NUM
cana-5824	99	4	)	)	PUNCT
cana-5824	99	5	2865	2865	NUM
cana-5824	99	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5824	99	7	detailed	detailed	ADJ
cana-5824	99	8	understanding	understanding	NOUN
cana-5824	99	9	of	of	ADP
cana-5824	99	10	the	the	DET
cana-5824	99	11	process	process	NOUN
cana-5824	99	12	.	.	PUNCT
cana-5824	100	1	the	the	DET
cana-5824	100	2	overall	overall	ADJ
cana-5824	100	3	block	block	NOUN
cana-5824	100	4	diagram	diagram	NOUN
cana-5824	100	5	of	of	ADP
cana-5824	100	6	the	the	DET
cana-5824	100	7	proposed	propose	VERB
cana-5824	100	8	work	work	NOUN
cana-5824	100	9	has	have	AUX
cana-5824	100	10	been	be	AUX
cana-5824	100	11	shown	show	VERB
cana-5824	100	12	in	in	ADP
cana-5824	100	13	figure	figure	NOUN
cana-5824	100	14	1	1	NUM
cana-5824	100	15	.	.	PUNCT
cana-5824	101	1	each	each	DET
cana-5824	101	2	block	block	NOUN
cana-5824	101	3	of	of	ADP
cana-5824	101	4	the	the	DET
cana-5824	101	5	proposed	propose	VERB
cana-5824	101	6	work	work	NOUN
cana-5824	101	7	has	have	AUX
cana-5824	101	8	been	be	AUX
cana-5824	101	9	discussed	discuss	VERB
cana-5824	101	10	in	in	ADP
cana-5824	101	11	the	the	DET
cana-5824	101	12	following	follow	VERB
cana-5824	101	13	subsections	subsection	NOUN
cana-5824	101	14	.	.	PUNCT
cana-5824	102	1	figure	figure	VERB
cana-5824	102	2	1	1	NUM
cana-5824	102	3	:	:	PUNCT
cana-5824	102	4	stacking	stack	VERB
cana-5824	102	5	-	-	PUNCT
cana-5824	102	6	based	base	VERB
cana-5824	102	7	framework	framework	NOUN
cana-5824	102	8	for	for	ADP
cana-5824	102	9	electricity	electricity	NOUN
cana-5824	102	10	theft	theft	NOUN
cana-5824	102	11	detection	detection	NOUN
cana-5824	102	12	3.1.1	3.1.1	NUM
cana-5824	102	13	.	.	PUNCT
cana-5824	103	1	data	datum	NOUN
cana-5824	103	2	preprocessing	preprocesse	VERB
cana-5824	103	3	in	in	ADP
cana-5824	103	4	this	this	DET
cana-5824	103	5	section	section	NOUN
cana-5824	103	6	we	we	PRON
cana-5824	103	7	make	make	VERB
cana-5824	103	8	sure	sure	ADJ
cana-5824	103	9	that	that	SCONJ
cana-5824	103	10	the	the	DET
cana-5824	103	11	dataset	dataset	NOUN
cana-5824	103	12	is	be	AUX
cana-5824	103	13	clean	clean	ADJ
cana-5824	103	14	internally	internally	ADV
cana-5824	103	15	consistent	consistent	ADJ
cana-5824	103	16	with	with	ADP
cana-5824	103	17	machine	machine	NOUN
cana-5824	103	18	learning	learning	NOUN
cana-5824	103	19	specified	specify	VERB
cana-5824	103	20	before	before	ADP
cana-5824	103	21	feeding	feed	VERB
cana-5824	103	22	the	the	DET
cana-5824	103	23	dataset	dataset	NOUN
cana-5824	103	24	into	into	ADP
cana-5824	103	25	the	the	DET
cana-5824	103	26	model	model	NOUN
cana-5824	103	27	.	.	PUNCT
cana-5824	104	1	challenges	challenge	NOUN
cana-5824	104	2	to	to	ADP
cana-5824	104	3	this	this	DET
cana-5824	104	4	research	research	NOUN
cana-5824	104	5	included	include	VERB
cana-5824	104	6	how	how	SCONJ
cana-5824	104	7	to	to	PART
cana-5824	104	8	deal	deal	VERB
cana-5824	104	9	with	with	ADP
cana-5824	104	10	missing	miss	VERB
cana-5824	104	11	data	datum	NOUN
cana-5824	104	12	and	and	CCONJ
cana-5824	104	13	how	how	SCONJ
cana-5824	104	14	to	to	PART
cana-5824	104	15	balance	balance	VERB
cana-5824	104	16	the	the	DET
cana-5824	104	17	classes	class	NOUN
cana-5824	104	18	of	of	ADP
cana-5824	104	19	the	the	DET
cana-5824	104	20	data	datum	NOUN
cana-5824	104	21	so	so	SCONJ
cana-5824	104	22	that	that	SCONJ
cana-5824	104	23	useful	useful	ADJ
cana-5824	104	24	intelligence	intelligence	NOUN
cana-5824	104	25	could	could	AUX
cana-5824	104	26	be	be	AUX
cana-5824	104	27	made	make	VERB
cana-5824	104	28	out	out	ADP
cana-5824	104	29	of	of	ADP
cana-5824	104	30	the	the	DET
cana-5824	104	31	cases	case	NOUN
cana-5824	104	32	involving	involve	VERB
cana-5824	104	33	electricity	electricity	NOUN
cana-5824	104	34	theft	theft	NOUN
cana-5824	104	35	.	.	PUNCT
cana-5824	105	1	figure	figure	NOUN
cana-5824	105	2	2	2	NUM
cana-5824	105	3	illustrates	illustrate	VERB
cana-5824	105	4	the	the	DET
cana-5824	105	5	comprehensive	comprehensive	ADJ
cana-5824	105	6	framework	framework	NOUN
cana-5824	105	7	employed	employ	VERB
cana-5824	105	8	for	for	ADP
cana-5824	105	9	electricity	electricity	NOUN
cana-5824	105	10	theft	theft	NOUN
cana-5824	105	11	detection	detection	NOUN
cana-5824	105	12	.	.	PUNCT
cana-5824	106	1	this	this	DET
cana-5824	106	2	framework	framework	NOUN
cana-5824	106	3	includes	include	VERB
cana-5824	106	4	data	datum	NOUN
cana-5824	106	5	preprocessing	preprocessing	NOUN
cana-5824	106	6	steps	step	NOUN
cana-5824	106	7	such	such	ADJ
cana-5824	106	8	as	as	ADP
cana-5824	106	9	handling	handle	VERB
cana-5824	106	10	missing	miss	VERB
cana-5824	106	11	values	value	NOUN
cana-5824	106	12	,	,	PUNCT
cana-5824	106	13	performing	perform	VERB
cana-5824	106	14	train	train	NOUN
cana-5824	106	15	-	-	PUNCT
cana-5824	106	16	test	test	NOUN
cana-5824	106	17	splits	split	NOUN
cana-5824	106	18	,	,	PUNCT
cana-5824	106	19	and	and	CCONJ
cana-5824	106	20	applying	apply	VERB
cana-5824	106	21	oversampling	oversample	VERB
cana-5824	106	22	techniques	technique	NOUN
cana-5824	106	23	like	like	ADP
cana-5824	106	24	adasyn	adasyn	NOUN
cana-5824	106	25	to	to	PART
cana-5824	106	26	balance	balance	VERB
cana-5824	106	27	the	the	DET
cana-5824	106	28	dataset	dataset	NOUN
cana-5824	106	29	.	.	PUNCT
cana-5824	107	1	the	the	DET
cana-5824	107	2	stacking	stack	VERB
cana-5824	107	3	ensemble	ensemble	ADJ
cana-5824	107	4	methodology	methodology	NOUN
cana-5824	107	5	integrates	integrate	NOUN
cana-5824	107	6	rf	rf	NOUN
cana-5824	107	7	,	,	PUNCT
cana-5824	107	8	gb	gb	NOUN
cana-5824	107	9	,	,	PUNCT
cana-5824	107	10	and	and	CCONJ
cana-5824	107	11	xgb	xgb	NOUN
cana-5824	107	12	as	as	ADP
cana-5824	107	13	base	base	NOUN
cana-5824	107	14	learners	learner	NOUN
cana-5824	107	15	,	,	PUNCT
cana-5824	107	16	with	with	ADP
cana-5824	107	17	lr	lr	NOUN
cana-5824	107	18	serving	serve	VERB
cana-5824	107	19	as	as	ADP
cana-5824	107	20	the	the	DET
cana-5824	107	21	meta	meta	ADJ
cana-5824	107	22	-	-	PUNCT
cana-5824	107	23	learner	learner	NOUN
cana-5824	107	24	.	.	PUNCT
cana-5824	108	1	i.	i.	PROPN
cana-5824	108	2	missing	miss	VERB
cana-5824	108	3	data	data	NOUN
cana-5824	108	4	imputation	imputation	NOUN
cana-5824	108	5	the	the	DET
cana-5824	108	6	problem	problem	NOUN
cana-5824	108	7	inherent	inherent	ADJ
cana-5824	108	8	to	to	ADP
cana-5824	108	9	such	such	ADJ
cana-5824	108	10	datasets	dataset	NOUN
cana-5824	108	11	–	–	PUNCT
cana-5824	108	12	some	some	DET
cana-5824	108	13	data	datum	NOUN
cana-5824	108	14	is	be	AUX
cana-5824	108	15	missing	miss	VERB
cana-5824	108	16	because	because	SCONJ
cana-5824	108	17	of	of	ADP
cana-5824	108	18	inaccurate	inaccurate	ADJ
cana-5824	108	19	record	record	NOUN
cana-5824	108	20	-	-	PUNCT
cana-5824	108	21	keeping	keeping	NOUN
cana-5824	108	22	.	.	PUNCT
cana-5824	109	1	when	when	SCONJ
cana-5824	109	2	some	some	DET
cana-5824	109	3	variables	variable	NOUN
cana-5824	109	4	were	be	AUX
cana-5824	109	5	incomplete	incomplete	ADJ
cana-5824	109	6	,	,	PUNCT
cana-5824	109	7	an	an	DET
cana-5824	109	8	imputation	imputation	NOUN
cana-5824	109	9	procedure	procedure	NOUN
cana-5824	109	10	was	be	AUX
cana-5824	109	11	conducted	conduct	VERB
cana-5824	109	12	systematically	systematically	ADV
cana-5824	109	13	.	.	PUNCT
cana-5824	110	1	for	for	ADP
cana-5824	110	2	the	the	DET
cana-5824	110	3	rows	row	NOUN
cana-5824	110	4	with	with	ADP
cana-5824	110	5	percentage	percentage	NOUN
cana-5824	110	6	of	of	ADP
cana-5824	110	7	nan	nan	PROPN
cana-5824	110	8	values	value	NOUN
cana-5824	110	9	equal	equal	ADJ
cana-5824	110	10	to	to	ADP
cana-5824	110	11	100	100	NUM
cana-5824	110	12	%	%	NOUN
cana-5824	110	13	then	then	ADV
cana-5824	110	14	such	such	ADJ
cana-5824	110	15	rows	row	NOUN
cana-5824	110	16	were	be	AUX
cana-5824	110	17	imputed	impute	VERB
cana-5824	110	18	with	with	ADP
cana-5824	110	19	zeros	zero	NOUN
cana-5824	110	20	.	.	PUNCT
cana-5824	111	1	it	it	PRON
cana-5824	111	2	provided	provide	VERB
cana-5824	111	3	constructive	constructive	ADJ
cana-5824	111	4	means	mean	NOUN
cana-5824	111	5	of	of	ADP
cana-5824	111	6	maintaining	maintain	VERB
cana-5824	111	7	the	the	DET
cana-5824	111	8	structural	structural	ADJ
cana-5824	111	9	features	feature	NOUN
cana-5824	111	10	of	of	ADP
cana-5824	111	11	the	the	DET
cana-5824	111	12	dataset	dataset	NOUN
cana-5824	111	13	without	without	ADP
cana-5824	111	14	excluding	exclude	VERB
cana-5824	111	15	any	any	DET
cana-5824	111	16	potentially	potentially	ADV
cana-5824	111	17	useful	useful	ADJ
cana-5824	111	18	data	datum	NOUN
cana-5824	111	19	.	.	PUNCT
cana-5824	112	1	but	but	CCONJ
cana-5824	112	2	if	if	SCONJ
cana-5824	112	3	some	some	PRON
cana-5824	112	4	of	of	ADP
cana-5824	112	5	the	the	DET
cana-5824	112	6	data	datum	NOUN
cana-5824	112	7	were	be	AUX
cana-5824	112	8	missing	miss	VERB
cana-5824	112	9	for	for	ADP
cana-5824	112	10	some	some	PRON
cana-5824	112	11	of	of	ADP
cana-5824	112	12	the	the	DET
cana-5824	112	13	rows	row	NOUN
cana-5824	112	14	,	,	PUNCT
cana-5824	112	15	the	the	DET
cana-5824	112	16	median	median	ADJ
cana-5824	112	17	value	value	NOUN
cana-5824	112	18	of	of	ADP
cana-5824	112	19	the	the	DET
cana-5824	112	20	certain	certain	ADJ
cana-5824	112	21	characteristic	characteristic	NOUN
cana-5824	112	22	was	be	AUX
cana-5824	112	23	proceeded	proceed	VERB
cana-5824	112	24	.	.	PUNCT
cana-5824	113	1	the	the	DET
cana-5824	113	2	median	median	NOUN
cana-5824	113	3	is	be	AUX
cana-5824	113	4	less	less	ADV
cana-5824	113	5	sensitive	sensitive	ADJ
cana-5824	113	6	to	to	ADP
cana-5824	113	7	extreme	extreme	ADJ
cana-5824	113	8	values	value	NOUN
cana-5824	113	9	of	of	ADP
cana-5824	113	10	features	feature	NOUN
cana-5824	113	11	compared	compare	VERB
cana-5824	113	12	to	to	ADP
cana-5824	113	13	the	the	DET
cana-5824	113	14	mean	mean	NOUN
cana-5824	113	15	and	and	CCONJ
cana-5824	113	16	hence	hence	ADV
cana-5824	113	17	became	become	VERB
cana-5824	113	18	a	a	DET
cana-5824	113	19	better	well	ADJ
cana-5824	113	20	measure	measure	NOUN
cana-5824	113	21	for	for	ADP
cana-5824	113	22	datasets	dataset	NOUN
cana-5824	113	23	that	that	PRON
cana-5824	113	24	have	have	VERB
cana-5824	113	25	high	high	ADJ
cana-5824	113	26	variance	variance	NOUN
cana-5824	113	27	in	in	ADP
cana-5824	113	28	terms	term	NOUN
cana-5824	113	29	of	of	ADP
cana-5824	113	30	their	their	PRON
cana-5824	113	31	feature	feature	NOUN
cana-5824	113	32	data	datum	NOUN
cana-5824	113	33	.	.	PUNCT
cana-5824	114	1	thus	thus	ADV
cana-5824	114	2	,	,	PUNCT
cana-5824	114	3	in	in	ADP
cana-5824	114	4	accomplishing	accomplish	VERB
cana-5824	114	5	missing	miss	VERB
cana-5824	114	6	data	datum	NOUN
cana-5824	114	7	via	via	ADP
cana-5824	114	8	these	these	DET
cana-5824	114	9	strategies	strategy	NOUN
cana-5824	114	10	,	,	PUNCT
cana-5824	114	11	the	the	DET
cana-5824	114	12	exactness	exactness	NOUN
cana-5824	114	13	of	of	ADP
cana-5824	114	14	the	the	DET
cana-5824	114	15	dataset	dataset	NOUN
cana-5824	114	16	later	later	ADV
cana-5824	114	17	on	on	ADV
cana-5824	114	18	was	be	AUX
cana-5824	114	19	secured	secure	VERB
cana-5824	114	20	due	due	ADJ
cana-5824	114	21	to	to	ADP
cana-5824	114	22	holism	holism	NOUN
cana-5824	114	23	and	and	CCONJ
cana-5824	114	24	consistency	consistency	NOUN
cana-5824	114	25	.	.	PUNCT
cana-5824	115	1	communications	communication	NOUN
cana-5824	115	2	on	on	ADP
cana-5824	115	3	applied	apply	VERB
cana-5824	115	4	nonlinear	nonlinear	ADJ
cana-5824	115	5	analysis	analysis	NOUN
cana-5824	115	6	issn	issn	NOUN
cana-5824	115	7	:	:	PUNCT
cana-5824	115	8	1074	1074	NUM
cana-5824	115	9	-	-	PUNCT
cana-5824	115	10	133x	133x	NUM
cana-5824	115	11	vol	vol	VERB
cana-5824	115	12	32	32	NUM
cana-5824	115	13	no	no	NOUN
cana-5824	115	14	.	.	PUNCT
cana-5824	116	1	10s	10	NOUN
cana-5824	116	2	(	(	PUNCT
cana-5824	116	3	2025	2025	NUM
cana-5824	116	4	)	)	PUNCT
cana-5824	116	5	2866	2866	NUM
cana-5824	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	116	7	ii	ii	PROPN
cana-5824	116	8	.	.	PUNCT
cana-5824	117	1	addressing	address	VERB
cana-5824	117	2	class	class	NOUN
cana-5824	117	3	imbalance	imbalance	NOUN
cana-5824	117	4	class	class	NOUN
cana-5824	117	5	imbalance	imbalance	NOUN
cana-5824	117	6	was	be	AUX
cana-5824	117	7	another	another	DET
cana-5824	117	8	problem	problem	NOUN
cana-5824	117	9	since	since	SCONJ
cana-5824	117	10	legitimate	legitimate	ADJ
cana-5824	117	11	instances(class	instances(class	NOUN
cana-5824	117	12	0	0	NUM
cana-5824	117	13	)	)	PUNCT
cana-5824	117	14	are	be	AUX
cana-5824	117	15	several	several	ADJ
cana-5824	117	16	times	time	NOUN
cana-5824	117	17	more	more	ADV
cana-5824	117	18	frequent	frequent	ADJ
cana-5824	117	19	than	than	ADP
cana-5824	117	20	theft	theft	NOUN
cana-5824	117	21	instances	instance	NOUN
cana-5824	117	22	(	(	PUNCT
cana-5824	117	23	class	class	NOUN
cana-5824	117	24	1	1	NUM
cana-5824	117	25	)	)	PUNCT
cana-5824	117	26	.	.	PUNCT
cana-5824	118	1	in	in	ADP
cana-5824	118	2	the	the	DET
cana-5824	118	3	absence	absence	NOUN
cana-5824	118	4	of	of	ADP
cana-5824	118	5	balancing	balance	VERB
cana-5824	118	6	operations	operation	NOUN
cana-5824	118	7	such	such	ADJ
cana-5824	118	8	models	model	NOUN
cana-5824	118	9	are	be	AUX
cana-5824	118	10	easily	easily	ADV
cana-5824	118	11	prone	prone	ADJ
cana-5824	118	12	to	to	PART
cana-5824	118	13	develop	develop	VERB
cana-5824	118	14	a	a	DET
cana-5824	118	15	bias	bias	NOUN
cana-5824	118	16	towards	towards	ADP
cana-5824	118	17	the	the	DET
cana-5824	118	18	majority	majority	NOUN
cana-5824	118	19	class	class	NOUN
cana-5824	118	20	hence	hence	ADV
cana-5824	118	21	poor	poor	ADJ
cana-5824	118	22	theft	theft	NOUN
cana-5824	118	23	cases	case	NOUN
cana-5824	118	24	detection	detection	NOUN
cana-5824	118	25	.	.	PUNCT
cana-5824	119	1	to	to	PART
cana-5824	119	2	address	address	VERB
cana-5824	119	3	this	this	DET
cana-5824	119	4	problem	problem	NOUN
cana-5824	119	5	,	,	PUNCT
cana-5824	119	6	the	the	DET
cana-5824	119	7	adasyn	adasyn	NOUN
cana-5824	119	8	strategy	strategy	NOUN
cana-5824	119	9	was	be	AUX
cana-5824	119	10	used	use	VERB
cana-5824	119	11	as	as	SCONJ
cana-5824	119	12	it	it	PRON
cana-5824	119	13	is	be	AUX
cana-5824	119	14	an	an	DET
cana-5824	119	15	improvement	improvement	NOUN
cana-5824	119	16	of	of	ADP
cana-5824	119	17	the	the	DET
cana-5824	119	18	synthetic	synthetic	ADJ
cana-5824	119	19	sampling	sampling	NOUN
cana-5824	119	20	technique	technique	NOUN
cana-5824	119	21	.	.	PUNCT
cana-5824	120	1	adasyn	adasyn	NOUN
cana-5824	120	2	enhances	enhance	VERB
cana-5824	120	3	minority	minority	NOUN
cana-5824	120	4	class	class	NOUN
cana-5824	120	5	instance	instance	NOUN
cana-5824	120	6	density	density	NOUN
cana-5824	120	7	by	by	ADP
cana-5824	120	8	synthesizing	synthesize	VERB
cana-5824	120	9	samples	sample	NOUN
cana-5824	120	10	in	in	ADP
cana-5824	120	11	low	low	ADJ
cana-5824	120	12	density	density	NOUN
cana-5824	120	13	areas	area	NOUN
cana-5824	120	14	of	of	ADP
cana-5824	120	15	input	input	NOUN
cana-5824	120	16	space	space	NOUN
cana-5824	120	17	.	.	PUNCT
cana-5824	121	1	it	it	PRON
cana-5824	121	2	is	be	AUX
cana-5824	121	3	done	do	VERB
cana-5824	121	4	by	by	ADP
cana-5824	121	5	estimating	estimate	VERB
cana-5824	121	6	the	the	DET
cana-5824	121	7	density	density	NOUN
cana-5824	121	8	of	of	ADP
cana-5824	121	9	provided	provide	VERB
cana-5824	121	10	minority	minority	NOUN
cana-5824	121	11	class	class	NOUN
cana-5824	121	12	examples	example	NOUN
cana-5824	121	13	and	and	CCONJ
cana-5824	121	14	by	by	ADP
cana-5824	121	15	placing	place	VERB
cana-5824	121	16	new	new	ADJ
cana-5824	121	17	points	point	NOUN
cana-5824	121	18	in	in	ADP
cana-5824	121	19	areas	area	NOUN
cana-5824	121	20	with	with	ADP
cana-5824	121	21	a	a	DET
cana-5824	121	22	low	low	ADJ
cana-5824	121	23	density	density	NOUN
cana-5824	121	24	of	of	ADP
cana-5824	121	25	such	such	ADJ
cana-5824	121	26	classes	class	NOUN
cana-5824	121	27	.	.	PUNCT
cana-5824	122	1	adasyn	adasyn	PROPN
cana-5824	122	2	,	,	PUNCT
cana-5824	122	3	unlike	unlike	ADP
cana-5824	122	4	ordinary	ordinary	ADJ
cana-5824	122	5	oversampling	oversampling	NOUN
cana-5824	122	6	that	that	PRON
cana-5824	122	7	leads	lead	VERB
cana-5824	122	8	to	to	ADP
cana-5824	122	9	overfitting	overfitte	VERB
cana-5824	122	10	since	since	SCONJ
cana-5824	122	11	the	the	DET
cana-5824	122	12	samples	sample	NOUN
cana-5824	122	13	are	be	AUX
cana-5824	122	14	replicated	replicate	VERB
cana-5824	122	15	identically	identically	ADV
cana-5824	122	16	,	,	PUNCT
cana-5824	122	17	creates	create	VERB
cana-5824	122	18	a	a	DET
cana-5824	122	19	variety	variety	NOUN
cana-5824	122	20	of	of	ADP
cana-5824	122	21	synthetic	synthetic	ADJ
cana-5824	122	22	patterns	pattern	NOUN
cana-5824	122	23	that	that	PRON
cana-5824	122	24	can	can	AUX
cana-5824	122	25	better	well	ADV
cana-5824	122	26	be	be	AUX
cana-5824	122	27	used	use	VERB
cana-5824	122	28	to	to	PART
cana-5824	122	29	improve	improve	VERB
cana-5824	122	30	the	the	DET
cana-5824	122	31	model	model	NOUN
cana-5824	122	32	’s	’s	PART
cana-5824	122	33	generalization	generalization	NOUN
cana-5824	122	34	.	.	PUNCT
cana-5824	123	1	it	it	PRON
cana-5824	123	2	was	be	AUX
cana-5824	123	3	found	find	VERB
cana-5824	123	4	that	that	SCONJ
cana-5824	123	5	after	after	ADP
cana-5824	123	6	augmentation	augmentation	NOUN
cana-5824	123	7	the	the	DET
cana-5824	123	8	class	class	NOUN
cana-5824	123	9	distribution	distribution	NOUN
cana-5824	123	10	was	be	AUX
cana-5824	123	11	almost	almost	ADV
cana-5824	123	12	49.3	49.3	NUM
cana-5824	123	13	%	%	NOUN
cana-5824	123	14	for	for	ADP
cana-5824	123	15	legitimate	legitimate	ADJ
cana-5824	123	16	cases	case	NOUN
cana-5824	123	17	and	and	CCONJ
cana-5824	123	18	50.7	50.7	NUM
cana-5824	123	19	%	%	NOUN
cana-5824	123	20	for	for	ADP
cana-5824	123	21	theft	theft	NOUN
cana-5824	123	22	cases	case	NOUN
cana-5824	123	23	.	.	PUNCT
cana-5824	124	1	besides	besides	SCONJ
cana-5824	124	2	,	,	PUNCT
cana-5824	124	3	it	it	PRON
cana-5824	124	4	enhanced	enhance	VERB
cana-5824	124	5	performance	performance	NOUN
cana-5824	124	6	in	in	ADP
cana-5824	124	7	terms	term	NOUN
cana-5824	124	8	of	of	ADP
cana-5824	124	9	sensitivity	sensitivity	NOUN
cana-5824	124	10	to	to	ADP
cana-5824	124	11	theft	theft	NOUN
cana-5824	124	12	cases	case	NOUN
cana-5824	124	13	and	and	CCONJ
cana-5824	124	14	,	,	PUNCT
cana-5824	124	15	at	at	ADP
cana-5824	124	16	the	the	DET
cana-5824	124	17	same	same	ADJ
cana-5824	124	18	time	time	NOUN
cana-5824	124	19	,	,	PUNCT
cana-5824	124	20	helped	help	VERB
cana-5824	124	21	to	to	PART
cana-5824	124	22	maintain	maintain	VERB
cana-5824	124	23	fairness	fairness	NOUN
cana-5824	124	24	of	of	ADP
cana-5824	124	25	the	the	DET
cana-5824	124	26	prediction	prediction	NOUN
cana-5824	124	27	in	in	ADP
cana-5824	124	28	classes	class	NOUN
cana-5824	124	29	.	.	PUNCT
cana-5824	125	1	the	the	DET
cana-5824	125	2	benefit	benefit	NOUN
cana-5824	125	3	of	of	ADP
cana-5824	125	4	adasyn	adasyn	NOUN
cana-5824	125	5	has	have	AUX
cana-5824	125	6	been	be	AUX
cana-5824	125	7	discussed	discuss	VERB
cana-5824	125	8	in	in	ADP
cana-5824	125	9	terms	term	NOUN
cana-5824	125	10	of	of	ADP
cana-5824	125	11	being	be	AUX
cana-5824	125	12	able	able	ADJ
cana-5824	125	13	to	to	PART
cana-5824	125	14	tackle	tackle	VERB
cana-5824	125	15	the	the	DET
cana-5824	125	16	source	source	NOUN
cana-5824	125	17	of	of	ADP
cana-5824	125	18	the	the	DET
cana-5824	125	19	imbalance	imbalance	NOUN
cana-5824	125	20	and	and	CCONJ
cana-5824	125	21	cater	cater	NOUN
cana-5824	125	22	to	to	ADP
cana-5824	125	23	the	the	DET
cana-5824	125	24	samples	sample	NOUN
cana-5824	125	25	from	from	ADP
cana-5824	125	26	where	where	SCONJ
cana-5824	125	27	it	it	PRON
cana-5824	125	28	is	be	AUX
cana-5824	125	29	difficult	difficult	ADJ
cana-5824	125	30	to	to	PART
cana-5824	125	31	generate	generate	VERB
cana-5824	125	32	the	the	DET
cana-5824	125	33	samples	sample	NOUN
cana-5824	125	34	.	.	PUNCT
cana-5824	126	1	3.1.2	3.1.2	X
cana-5824	126	2	.	.	PUNCT
cana-5824	126	3	stacking	stack	VERB
cana-5824	126	4	model	model	NOUN
cana-5824	126	5	in	in	ADP
cana-5824	126	6	this	this	DET
cana-5824	126	7	section	section	NOUN
cana-5824	126	8	we	we	PRON
cana-5824	126	9	describe	describe	VERB
cana-5824	126	10	stacking	stack	VERB
cana-5824	126	11	ensembles	ensemble	NOUN
cana-5824	126	12	to	to	PART
cana-5824	126	13	overcome	overcome	VERB
cana-5824	126	14	the	the	DET
cana-5824	126	15	problems	problem	NOUN
cana-5824	126	16	associated	associate	VERB
cana-5824	126	17	with	with	ADP
cana-5824	126	18	electricity	electricity	NOUN
cana-5824	126	19	theft	theft	NOUN
cana-5824	126	20	detection	detection	NOUN
cana-5824	126	21	presented	present	VERB
cana-5824	126	22	in	in	ADP
cana-5824	126	23	table	table	NOUN
cana-5824	126	24	1	1	NUM
cana-5824	126	25	.	.	PUNCT
cana-5824	127	1	stacking	stack	VERB
cana-5824	127	2	is	be	AUX
cana-5824	127	3	the	the	DET
cana-5824	127	4	powerful	powerful	ADJ
cana-5824	127	5	approach	approach	NOUN
cana-5824	127	6	where	where	SCONJ
cana-5824	127	7	predictions	prediction	NOUN
cana-5824	127	8	of	of	ADP
cana-5824	127	9	the	the	DET
cana-5824	127	10	base	base	NOUN
cana-5824	127	11	models	model	NOUN
cana-5824	127	12	are	be	AUX
cana-5824	127	13	f	f	PROPN
cana-5824	127	14	inalized	inalize	VERB
cana-5824	127	15	using	use	VERB
cana-5824	127	16	a	a	DET
cana-5824	127	17	meta	meta	ADJ
cana-5824	127	18	-	-	PUNCT
cana-5824	127	19	learner	learner	NOUN
cana-5824	127	20	for	for	ADP
cana-5824	127	21	making	make	VERB
cana-5824	127	22	ensemble	ensemble	ADJ
cana-5824	127	23	models	model	NOUN
cana-5824	127	24	combined	combine	VERB
cana-5824	127	25	together	together	ADV
cana-5824	127	26	by	by	ADP
cana-5824	127	27	covering	cover	VERB
cana-5824	127	28	the	the	DET
cana-5824	127	29	strength	strength	NOUN
cana-5824	127	30	of	of	ADP
cana-5824	127	31	diverse	diverse	ADJ
cana-5824	127	32	models	model	NOUN
cana-5824	127	33	.	.	PUNCT
cana-5824	128	1	as	as	ADP
cana-5824	128	2	the	the	DET
cana-5824	128	3	base	base	NOUN
cana-5824	128	4	learners	learner	NOUN
cana-5824	128	5	,	,	PUNCT
cana-5824	128	6	we	we	PRON
cana-5824	128	7	had	have	AUX
cana-5824	128	8	chosen	choose	VERB
cana-5824	128	9	rf	rf	VERB
cana-5824	128	10	,	,	PUNCT
cana-5824	128	11	gb	gb	NOUN
cana-5824	128	12	,	,	PUNCT
cana-5824	128	13	and	and	CCONJ
cana-5824	128	14	xgb	xgb	NUM
cana-5824	128	15	,	,	PUNCT
cana-5824	128	16	while	while	SCONJ
cana-5824	128	17	the	the	DET
cana-5824	128	18	meta	meta	ADJ
cana-5824	128	19	-	-	PUNCT
cana-5824	128	20	learner	learner	NOUN
cana-5824	128	21	was	be	AUX
cana-5824	128	22	lr	lr	NOUN
cana-5824	128	23	.	.	PUNCT
cana-5824	128	24	lr	lr	PROPN
cana-5824	128	25	as	as	SCONJ
cana-5824	128	26	a	a	DET
cana-5824	128	27	method	method	NOUN
cana-5824	128	28	was	be	AUX
cana-5824	128	29	used	use	VERB
cana-5824	128	30	due	due	ADP
cana-5824	128	31	to	to	ADP
cana-5824	128	32	its	its	PRON
cana-5824	128	33	linearity	linearity	NOUN
cana-5824	128	34	and	and	CCONJ
cana-5824	128	35	ease	ease	NOUN
cana-5824	128	36	of	of	ADP
cana-5824	128	37	aggregating	aggregate	VERB
cana-5824	128	38	base	base	NOUN
cana-5824	128	39	model	model	NOUN
cana-5824	128	40	output	output	NOUN
cana-5824	128	41	,	,	PUNCT
cana-5824	128	42	justifying	justify	VERB
cana-5824	128	43	the	the	DET
cana-5824	128	44	method	method	NOUN
cana-5824	128	45	selection	selection	NOUN
cana-5824	128	46	.	.	PUNCT
cana-5824	129	1	this	this	DET
cana-5824	129	2	configuration	configuration	NOUN
cana-5824	129	3	harnesses	harness	VERB
cana-5824	129	4	the	the	DET
cana-5824	129	5	performance	performance	NOUN
cana-5824	129	6	of	of	ADP
cana-5824	129	7	three	three	NUM
cana-5824	129	8	solid	solid	ADJ
cana-5824	129	9	base	base	NOUN
cana-5824	129	10	learners	learner	NOUN
cana-5824	129	11	to	to	PART
cana-5824	129	12	solve	solve	VERB
cana-5824	129	13	the	the	DET
cana-5824	129	14	complexity	complexity	NOUN
cana-5824	129	15	of	of	ADP
cana-5824	129	16	electricity	electricity	NOUN
cana-5824	129	17	theft	theft	NOUN
cana-5824	129	18	detection	detection	NOUN
cana-5824	129	19	efficiently	efficiently	ADV
cana-5824	129	20	.	.	PUNCT
cana-5824	130	1	in	in	ADP
cana-5824	130	2	selecting	select	VERB
cana-5824	130	3	the	the	DET
cana-5824	130	4	base	base	NOUN
cana-5824	130	5	learners	learner	NOUN
cana-5824	130	6	for	for	ADP
cana-5824	130	7	the	the	DET
cana-5824	130	8	ensemble	ensemble	ADJ
cana-5824	130	9	,	,	PUNCT
cana-5824	130	10	each	each	PRON
cana-5824	130	11	was	be	AUX
cana-5824	130	12	selected	select	VERB
cana-5824	130	13	based	base	VERB
cana-5824	130	14	on	on	ADP
cana-5824	130	15	the	the	DET
cana-5824	130	16	individual	individual	ADJ
cana-5824	130	17	contribution	contribution	NOUN
cana-5824	130	18	it	it	PRON
cana-5824	130	19	would	would	AUX
cana-5824	130	20	make	make	VERB
cana-5824	130	21	.	.	PUNCT
cana-5824	131	1	the	the	DET
cana-5824	131	2	process	process	NOUN
cana-5824	131	3	of	of	ADP
cana-5824	131	4	creating	create	VERB
cana-5824	131	5	a	a	DET
cana-5824	131	6	decision	decision	NOUN
cana-5824	131	7	tree	tree	NOUN
cana-5824	131	8	within	within	ADP
cana-5824	131	9	rf	rf	ADP
cana-5824	131	10	lower	low	ADJ
cana-5824	131	11	variance	variance	NOUN
cana-5824	131	12	through	through	ADP
cana-5824	131	13	bagging	bag	VERB
cana-5824	131	14	it	it	PRON
cana-5824	131	15	,	,	PUNCT
cana-5824	131	16	especially	especially	ADV
cana-5824	131	17	in	in	ADP
cana-5824	131	18	cases	case	NOUN
cana-5824	131	19	of	of	ADP
cana-5824	131	20	imbalance	imbalance	NOUN
cana-5824	131	21	data	datum	NOUN
cana-5824	131	22	and	and	CCONJ
cana-5824	131	23	noise	noise	NOUN
cana-5824	131	24	in	in	ADP
cana-5824	131	25	the	the	DET
cana-5824	131	26	prediction	prediction	NOUN
cana-5824	131	27	.	.	PUNCT
cana-5824	132	1	gb	gb	PRON
cana-5824	132	2	improves	improve	VERB
cana-5824	132	3	predictions	prediction	NOUN
cana-5824	132	4	in	in	ADP
cana-5824	132	5	a	a	DET
cana-5824	132	6	step	step	NOUN
cana-5824	132	7	-	-	PUNCT
cana-5824	132	8	by	by	ADP
cana-5824	132	9	-	-	PUNCT
cana-5824	132	10	step	step	NOUN
cana-5824	132	11	way	way	NOUN
cana-5824	132	12	,	,	PUNCT
cana-5824	132	13	stacking	stack	VERB
cana-5824	132	14	new	new	ADJ
cana-5824	132	15	models	model	NOUN
cana-5824	132	16	one	one	NUM
cana-5824	132	17	after	after	ADP
cana-5824	132	18	the	the	DET
cana-5824	132	19	other	other	ADJ
cana-5824	132	20	and	and	CCONJ
cana-5824	132	21	,	,	PUNCT
cana-5824	132	22	as	as	ADP
cana-5824	132	23	a	a	DET
cana-5824	132	24	result	result	NOUN
cana-5824	132	25	of	of	ADP
cana-5824	132	26	this	this	DET
cana-5824	132	27	sequential	sequential	ADJ
cana-5824	132	28	process	process	NOUN
cana-5824	132	29	,	,	PUNCT
cana-5824	132	30	it	it	PRON
cana-5824	132	31	is	be	AUX
cana-5824	132	32	very	very	ADV
cana-5824	132	33	valuable	valuable	ADJ
cana-5824	132	34	when	when	SCONJ
cana-5824	132	35	it	it	PRON
cana-5824	132	36	is	be	AUX
cana-5824	132	37	necessary	necessary	ADJ
cana-5824	132	38	to	to	PART
cana-5824	132	39	deal	deal	VERB
cana-5824	132	40	with	with	ADP
cana-5824	132	41	complicated	complicated	ADJ
cana-5824	132	42	patterns	pattern	NOUN
cana-5824	132	43	or	or	CCONJ
cana-5824	132	44	outlier	outlier	NOUN
cana-5824	132	45	cases	case	NOUN
cana-5824	132	46	.	.	PUNCT
cana-5824	133	1	xgb	xgb	PROPN
cana-5824	133	2	,	,	PUNCT
cana-5824	133	3	which	which	PRON
cana-5824	133	4	is	be	AUX
cana-5824	133	5	an	an	DET
cana-5824	133	6	improved	improved	ADJ
cana-5824	133	7	version	version	NOUN
cana-5824	133	8	of	of	ADP
cana-5824	133	9	gb	gb	PRON
cana-5824	133	10	,	,	PUNCT
cana-5824	133	11	brings	bring	VERB
cana-5824	133	12	more	more	ADJ
cana-5824	133	13	improvement	improvement	NOUN
cana-5824	133	14	to	to	ADP
cana-5824	133	15	the	the	DET
cana-5824	133	16	ensemble	ensemble	ADJ
cana-5824	133	17	method	method	NOUN
cana-5824	133	18	due	due	ADP
cana-5824	133	19	to	to	ADP
cana-5824	133	20	its	its	PRON
cana-5824	133	21	computational	computational	ADJ
cana-5824	133	22	advantages	advantage	NOUN
cana-5824	133	23	,	,	PUNCT
cana-5824	133	24	additional	additional	ADJ
cana-5824	133	25	regularization	regularization	NOUN
cana-5824	133	26	measures	measure	NOUN
cana-5824	133	27	,	,	PUNCT
cana-5824	133	28	and	and	CCONJ
cana-5824	133	29	a	a	DET
cana-5824	133	30	powerful	powerful	ADJ
cana-5824	133	31	capability	capability	NOUN
cana-5824	133	32	of	of	ADP
cana-5824	133	33	detecting	detect	VERB
cana-5824	133	34	rare	rare	ADJ
cana-5824	133	35	class	class	NOUN
cana-5824	133	36	samples	sample	NOUN
cana-5824	133	37	with	with	ADP
cana-5824	133	38	high	high	ADJ
cana-5824	133	39	accuracy	accuracy	NOUN
cana-5824	133	40	.	.	PUNCT
cana-5824	134	1	altogether	altogether	ADV
cana-5824	134	2	,	,	PUNCT
cana-5824	134	3	the	the	DET
cana-5824	134	4	discussed	discuss	VERB
cana-5824	134	5	models	model	NOUN
cana-5824	134	6	cover	cover	VERB
cana-5824	134	7	different	different	ADJ
cana-5824	134	8	aspects	aspect	NOUN
cana-5824	134	9	of	of	ADP
cana-5824	134	10	the	the	DET
cana-5824	134	11	electricity	electricity	NOUN
cana-5824	134	12	theft	theft	NOUN
cana-5824	134	13	detection	detection	NOUN
cana-5824	134	14	problem	problem	NOUN
cana-5824	134	15	,	,	PUNCT
cana-5824	134	16	including	include	VERB
cana-5824	134	17	the	the	DET
cana-5824	134	18	class	class	NOUN
cana-5824	134	19	imbalance	imbalance	NOUN
cana-5824	134	20	issue	issue	NOUN
cana-5824	134	21	and	and	CCONJ
cana-5824	134	22	complex	complex	ADJ
cana-5824	134	23	data	datum	NOUN
cana-5824	134	24	characteristics	characteristic	NOUN
cana-5824	134	25	,	,	PUNCT
cana-5824	134	26	ensuring	ensure	VERB
cana-5824	134	27	the	the	DET
cana-5824	134	28	high	high	ADJ
cana-5824	134	29	quality	quality	NOUN
cana-5824	134	30	of	of	ADP
cana-5824	134	31	the	the	DET
cana-5824	134	32	stacking	stacking	NOUN
cana-5824	134	33	ensemble	ensemble	ADJ
cana-5824	134	34	.	.	PUNCT
cana-5824	135	1	the	the	DET
cana-5824	135	2	proposed	propose	VERB
cana-5824	135	3	model	model	NOUN
cana-5824	135	4	has	have	VERB
cana-5824	135	5	the	the	DET
cana-5824	135	6	highest	high	ADJ
cana-5824	135	7	roc	roc	NOUN
cana-5824	135	8	auc	auc	NOUN
cana-5824	135	9	score	score	NOUN
cana-5824	135	10	,	,	PUNCT
cana-5824	135	11	and	and	CCONJ
cana-5824	135	12	recall	recall	NOUN
cana-5824	135	13	rate	rate	NOUN
cana-5824	135	14	,	,	PUNCT
cana-5824	135	15	which	which	PRON
cana-5824	135	16	shows	show	VERB
cana-5824	135	17	a	a	DET
cana-5824	135	18	good	good	ADJ
cana-5824	135	19	trade	trade	NOUN
cana-5824	135	20	-	-	PUNCT
cana-5824	135	21	off	off	NOUN
cana-5824	135	22	between	between	ADP
cana-5824	135	23	precision	precision	NOUN
cana-5824	135	24	and	and	CCONJ
cana-5824	135	25	recall	recall	NOUN
cana-5824	135	26	.	.	PUNCT
cana-5824	136	1	superior	superior	ADJ
cana-5824	136	2	results	result	NOUN
cana-5824	136	3	in	in	ADP
cana-5824	136	4	class	class	NOUN
cana-5824	136	5	imbalance	imbalance	NOUN
cana-5824	136	6	management	management	NOUN
cana-5824	136	7	,	,	PUNCT
cana-5824	136	8	as	as	ADV
cana-5824	136	9	well	well	ADV
cana-5824	136	10	as	as	ADP
cana-5824	136	11	its	its	PRON
cana-5824	136	12	flexibility	flexibility	NOUN
cana-5824	136	13	for	for	ADP
cana-5824	136	14	the	the	DET
cana-5824	136	15	specific	specific	ADJ
cana-5824	136	16	problem	problem	NOUN
cana-5824	136	17	type	type	NOUN
cana-5824	136	18	,	,	PUNCT
cana-5824	136	19	proved	prove	VERB
cana-5824	136	20	that	that	SCONJ
cana-5824	136	21	this	this	DET
cana-5824	136	22	model	model	NOUN
cana-5824	136	23	was	be	AUX
cana-5824	136	24	the	the	DET
cana-5824	136	25	most	most	ADV
cana-5824	136	26	effective	effective	ADJ
cana-5824	136	27	one	one	NUM
cana-5824	136	28	for	for	ADP
cana-5824	136	29	electricity	electricity	NOUN
cana-5824	136	30	theft	theft	NOUN
cana-5824	136	31	identification	identification	NOUN
cana-5824	136	32	.	.	PUNCT
cana-5824	137	1	the	the	DET
cana-5824	137	2	above	above	ADJ
cana-5824	137	3	studies	study	NOUN
cana-5824	137	4	demonstrate	demonstrate	VERB
cana-5824	137	5	the	the	DET
cana-5824	137	6	ability	ability	NOUN
cana-5824	137	7	of	of	ADP
cana-5824	137	8	the	the	DET
cana-5824	137	9	stacking	stack	VERB
cana-5824	137	10	ensembles	ensemble	NOUN
cana-5824	137	11	to	to	PART
cana-5824	137	12	provide	provide	VERB
cana-5824	137	13	better	well	ADJ
cana-5824	137	14	accurate	accurate	ADJ
cana-5824	137	15	models	model	NOUN
cana-5824	137	16	and	and	CCONJ
cana-5824	137	17	generalization	generalization	NOUN
cana-5824	137	18	when	when	SCONJ
cana-5824	137	19	compared	compare	VERB
cana-5824	137	20	to	to	ADP
cana-5824	137	21	other	other	ADJ
cana-5824	137	22	models	model	NOUN
cana-5824	137	23	in	in	ADP
cana-5824	137	24	complex	complex	ADJ
cana-5824	137	25	environments	environment	NOUN
cana-5824	137	26	.	.	PUNCT
cana-5824	138	1	in	in	ADP
cana-5824	138	2	our	our	PRON
cana-5824	138	3	case	case	NOUN
cana-5824	138	4	,	,	PUNCT
cana-5824	138	5	some	some	DET
cana-5824	138	6	future	future	ADJ
cana-5824	138	7	enhancements	enhancement	NOUN
cana-5824	138	8	could	could	AUX
cana-5824	138	9	be	be	AUX
cana-5824	138	10	the	the	DET
cana-5824	138	11	inclusion	inclusion	NOUN
cana-5824	138	12	of	of	ADP
cana-5824	138	13	other	other	ADJ
cana-5824	138	14	advanced	advanced	ADJ
cana-5824	138	15	base	base	NOUN
cana-5824	138	16	learners	learner	NOUN
cana-5824	138	17	or	or	CCONJ
cana-5824	138	18	use	use	NOUN
cana-5824	138	19	of	of	ADP
cana-5824	138	20	other	other	ADJ
cana-5824	138	21	forms	form	NOUN
cana-5824	138	22	of	of	ADP
cana-5824	138	23	features	feature	NOUN
cana-5824	138	24	which	which	PRON
cana-5824	138	25	are	be	AUX
cana-5824	138	26	specific	specific	ADJ
cana-5824	138	27	to	to	ADP
cana-5824	138	28	a	a	DET
cana-5824	138	29	particular	particular	ADJ
cana-5824	138	30	domain	domain	NOUN
cana-5824	138	31	for	for	ADP
cana-5824	138	32	construction	construction	NOUN
cana-5824	138	33	of	of	ADP
cana-5824	138	34	the	the	DET
cana-5824	138	35	stacking	stacking	NOUN
cana-5824	138	36	model	model	NOUN
cana-5824	138	37	.	.	PUNCT
cana-5824	139	1	therefore	therefore	ADV
cana-5824	139	2	,	,	PUNCT
cana-5824	139	3	it	it	PRON
cana-5824	139	4	is	be	AUX
cana-5824	139	5	necessary	necessary	ADJ
cana-5824	139	6	to	to	PART
cana-5824	139	7	carefully	carefully	ADV
cana-5824	139	8	design	design	VERB
cana-5824	139	9	the	the	DET
cana-5824	139	10	stacking	stacking	NOUN
cana-5824	139	11	configurations	configuration	NOUN
cana-5824	139	12	in	in	ADP
cana-5824	139	13	order	order	NOUN
cana-5824	139	14	to	to	ADP
cana-5824	139	15	f	f	PROPN
cana-5824	139	16	it	it	PRON
cana-5824	139	17	specific	specific	ADJ
cana-5824	139	18	issues	issue	NOUN
cana-5824	139	19	and	and	CCONJ
cana-5824	139	20	this	this	DET
cana-5824	139	21	paper	paper	NOUN
cana-5824	139	22	lays	lay	VERB
cana-5824	139	23	the	the	DET
cana-5824	139	24	groundwork	groundwork	NOUN
cana-5824	139	25	for	for	ADP
cana-5824	139	26	future	future	ADJ
cana-5824	139	27	development	development	NOUN
cana-5824	139	28	of	of	ADP
cana-5824	139	29	electricity	electricity	NOUN
cana-5824	139	30	theft	theft	NOUN
cana-5824	139	31	detection	detection	NOUN
cana-5824	139	32	using	use	VERB
cana-5824	139	33	ensemble	ensemble	ADJ
cana-5824	139	34	based	base	VERB
cana-5824	139	35	approaches	approach	NOUN
cana-5824	139	36	.	.	PUNCT
cana-5824	140	1	communications	communication	NOUN
cana-5824	140	2	on	on	ADP
cana-5824	140	3	applied	apply	VERB
cana-5824	140	4	nonlinear	nonlinear	ADJ
cana-5824	140	5	analysis	analysis	NOUN
cana-5824	140	6	issn	issn	NOUN
cana-5824	140	7	:	:	PUNCT
cana-5824	140	8	1074	1074	NUM
cana-5824	140	9	-	-	PUNCT
cana-5824	140	10	133x	133x	NUM
cana-5824	140	11	vol	vol	VERB
cana-5824	140	12	32	32	NUM
cana-5824	140	13	no	no	NOUN
cana-5824	140	14	.	.	PUNCT
cana-5824	141	1	10s	10	NOUN
cana-5824	141	2	(	(	PUNCT
cana-5824	141	3	2025	2025	NUM
cana-5824	141	4	)	)	PUNCT
cana-5824	141	5	2867	2867	NUM
cana-5824	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	141	7	figure	figure	NOUN
cana-5824	141	8	2	2	NUM
cana-5824	141	9	:	:	PUNCT
cana-5824	141	10	comprehensive	comprehensive	ADJ
cana-5824	141	11	methodology	methodology	NOUN
cana-5824	141	12	for	for	ADP
cana-5824	141	13	electricity	electricity	NOUN
cana-5824	141	14	model	model	NOUN
cana-5824	141	15	configuration	configuration	NOUN
cana-5824	141	16	tpr	tpr	PROPN
cana-5824	141	17	fpr	fpr	PROPN
cana-5824	141	18	tnr	tnr	PROPN
cana-5824	141	19	fnr	fnr	PROPN
cana-5824	141	20	accuracy	accuracy	NOUN
cana-5824	141	21	auc	auc	NOUN
cana-5824	141	22	stacking	stacking	NOUN
cana-5824	141	23	(	(	PUNCT
cana-5824	141	24	rf	rf	ADJ
cana-5824	141	25	,	,	PUNCT
cana-5824	141	26	gb	gb	PRON
cana-5824	141	27	,	,	PUNCT
cana-5824	141	28	brf	brf	PROPN
cana-5824	141	29	)	)	PUNCT
cana-5824	142	1	+	+	CCONJ
cana-5824	142	2	xgboost	xgboost	X
cana-5824	142	3	meta	meta	PROPN
cana-5824	142	4	learner	learner	NOUN
cana-5824	142	5	0.933	0.933	NUM
cana-5824	142	6	0.0592	0.0592	NUM
cana-5824	142	7	0.9408	0.9408	NUM
cana-5824	142	8	0.0667	0.0667	NUM
cana-5824	142	9	0.9370	0.9370	NUM
cana-5824	142	10	0.9791	0.9791	NUM
cana-5824	142	11	stacking	stacking	NOUN
cana-5824	142	12	(	(	PUNCT
cana-5824	142	13	rf	rf	ADJ
cana-5824	142	14	,	,	PUNCT
cana-5824	142	15	gb	gb	PRON
cana-5824	142	16	,	,	PUNCT
cana-5824	142	17	brf	brf	PROPN
cana-5824	142	18	)	)	PUNCT
cana-5824	143	1	+	+	CCONJ
cana-5824	143	2	logistic	logistic	ADJ
cana-5824	143	3	regression	regression	NOUN
cana-5824	143	4	meta	meta	ADJ
cana-5824	143	5	learner	learner	NOUN
cana-5824	143	6	0.945	0.945	NUM
cana-5824	143	7	0.0586	0.0586	NUM
cana-5824	143	8	0.9414	0.9414	NUM
cana-5824	143	9	0.0548	0.0548	NUM
cana-5824	143	10	0.9433	0.9433	NUM
cana-5824	143	11	0.9841	0.9841	NUM
cana-5824	143	12	stacking	stacking	NOUN
cana-5824	143	13	(	(	PUNCT
cana-5824	143	14	rf	rf	ADJ
cana-5824	143	15	,	,	PUNCT
cana-5824	143	16	gb	gb	PRON
cana-5824	143	17	,	,	PUNCT
cana-5824	143	18	xgb	xgb	NUM
cana-5824	143	19	)	)	PUNCT
cana-5824	144	1	+	+	CCONJ
cana-5824	144	2	logistic	logistic	ADJ
cana-5824	144	3	regression	regression	NOUN
cana-5824	144	4	meta	meta	ADJ
cana-5824	144	5	learner	learner	NOUN
cana-5824	144	6	0.948	0.948	NUM
cana-5824	144	7	0.0569	0.0569	NUM
cana-5824	144	8	0.9431	0.9431	NUM
cana-5824	145	1	0.0514	0.0514	NUM
cana-5824	145	2	0.9459	0.9459	NUM
cana-5824	145	3	0.9867	0.9867	NUM
cana-5824	145	4	table	table	NOUN
cana-5824	145	5	1	1	NUM
cana-5824	145	6	:	:	PUNCT
cana-5824	145	7	classification	classification	NOUN
cana-5824	145	8	metrics	metric	NOUN
cana-5824	145	9	for	for	ADP
cana-5824	145	10	stacking	stack	VERB
cana-5824	145	11	model	model	NOUN
cana-5824	145	12	4	4	NUM
cana-5824	145	13	.	.	PUNCT
cana-5824	145	14	experimental	experimental	ADJ
cana-5824	145	15	setup	setup	NOUN
cana-5824	145	16	it	it	PRON
cana-5824	145	17	describes	describe	VERB
cana-5824	145	18	how	how	SCONJ
cana-5824	145	19	the	the	DET
cana-5824	145	20	experiment	experiment	NOUN
cana-5824	145	21	was	be	AUX
cana-5824	145	22	designed	design	VERB
cana-5824	145	23	in	in	ADP
cana-5824	145	24	the	the	DET
cana-5824	145	25	initial	initial	ADJ
cana-5824	145	26	stage	stage	NOUN
cana-5824	145	27	in	in	ADP
cana-5824	145	28	terms	term	NOUN
cana-5824	145	29	of	of	ADP
cana-5824	145	30	the	the	DET
cana-5824	145	31	characteristics	characteristic	NOUN
cana-5824	145	32	of	of	ADP
cana-5824	145	33	the	the	DET
cana-5824	145	34	data	datum	NOUN
cana-5824	145	35	and	and	CCONJ
cana-5824	145	36	computational	computational	ADJ
cana-5824	145	37	environment	environment	NOUN
cana-5824	145	38	,	,	PUNCT
cana-5824	145	39	as	as	ADV
cana-5824	145	40	well	well	ADV
cana-5824	145	41	as	as	ADP
cana-5824	145	42	concrete	concrete	ADJ
cana-5824	145	43	goals	goal	NOUN
cana-5824	145	44	defining	define	VERB
cana-5824	145	45	the	the	DET
cana-5824	145	46	research	research	NOUN
cana-5824	145	47	direction	direction	NOUN
cana-5824	145	48	.	.	PUNCT
cana-5824	146	1	4.1.1	4.1.1	NUM
cana-5824	146	2	dataset	dataset	ADJ
cana-5824	146	3	description	description	NOUN
cana-5824	146	4	the	the	DET
cana-5824	146	5	data	datum	NOUN
cana-5824	146	6	used	use	VERB
cana-5824	146	7	for	for	ADP
cana-5824	146	8	this	this	DET
cana-5824	146	9	study	study	NOUN
cana-5824	146	10	was	be	AUX
cana-5824	146	11	collected	collect	VERB
cana-5824	146	12	from	from	ADP
cana-5824	146	13	the	the	DET
cana-5824	146	14	sgcc	sgcc	NOUN
cana-5824	146	15	dataset	dataset	NOUN
cana-5824	146	16	of	of	ADP
cana-5824	146	17	electrical	electrical	ADJ
cana-5824	146	18	energy	energy	NOUN
cana-5824	146	19	consumption	consumption	NOUN
cana-5824	146	20	of	of	ADP
cana-5824	146	21	9958	9958	NUM
cana-5824	146	22	users	user	NOUN
cana-5824	146	23	drawn	draw	VERB
cana-5824	146	24	in	in	ADP
cana-5824	146	25	2015	2015	NUM
cana-5824	146	26	.	.	PUNCT
cana-5824	147	1	this	this	DET
cana-5824	147	2	dataset	dataset	NOUN
cana-5824	147	3	contains	contain	VERB
cana-5824	147	4	measurements	measurement	NOUN
cana-5824	147	5	of	of	ADP
cana-5824	147	6	daily	daily	ADJ
cana-5824	147	7	usage	usage	NOUN
cana-5824	147	8	and	and	CCONJ
cana-5824	147	9	time	time	NOUN
cana-5824	147	10	stamp	stamp	NOUN
cana-5824	147	11	for	for	ADP
cana-5824	147	12	each	each	DET
cana-5824	147	13	user	user	NOUN
cana-5824	147	14	,	,	PUNCT
cana-5824	147	15	which	which	PRON
cana-5824	147	16	could	could	AUX
cana-5824	147	17	be	be	AUX
cana-5824	147	18	used	use	VERB
cana-5824	147	19	to	to	PART
cana-5824	147	20	identify	identify	VERB
cana-5824	147	21	unusual	unusual	ADJ
cana-5824	147	22	phenomena	phenomenon	NOUN
cana-5824	147	23	including	include	VERB
cana-5824	147	24	electricity	electricity	NOUN
cana-5824	147	25	theft	theft	NOUN
cana-5824	147	26	.	.	PUNCT
cana-5824	148	1	however	however	ADV
cana-5824	148	2	,	,	PUNCT
cana-5824	148	3	there	there	PRON
cana-5824	148	4	is	be	VERB
cana-5824	148	5	one	one	NUM
cana-5824	148	6	major	major	ADJ
cana-5824	148	7	problem	problem	NOUN
cana-5824	148	8	,	,	PUNCT
cana-5824	148	9	which	which	PRON
cana-5824	148	10	is	be	AUX
cana-5824	148	11	the	the	DET
cana-5824	148	12	skewed	skewed	ADJ
cana-5824	148	13	class	class	NOUN
cana-5824	148	14	distribution	distribution	NOUN
cana-5824	148	15	:	:	PUNCT
cana-5824	148	16	only	only	ADV
cana-5824	148	17	14.02	14.02	NUM
cana-5824	148	18	%	%	NOUN
cana-5824	148	19	belongs	belong	VERB
cana-5824	148	20	to	to	ADP
cana-5824	148	21	class	class	NOUN
cana-5824	148	22	1	1	NUM
cana-5824	148	23	(	(	PUNCT
cana-5824	148	24	theft	theft	NOUN
cana-5824	148	25	cases	case	NOUN
cana-5824	148	26	)	)	PUNCT
cana-5824	148	27	,	,	PUNCT
cana-5824	148	28	while	while	SCONJ
cana-5824	148	29	the	the	DET
cana-5824	148	30	rest	rest	NOUN
cana-5824	148	31	85.98	85.98	NUM
cana-5824	148	32	%	%	NOUN
cana-5824	148	33	belongs	belong	VERB
cana-5824	148	34	to	to	ADP
cana-5824	148	35	class	class	NOUN
cana-5824	148	36	0	0	NUM
cana-5824	148	37	(	(	PUNCT
cana-5824	148	38	legitimate	legitimate	ADJ
cana-5824	148	39	cases	case	NOUN
cana-5824	148	40	)	)	PUNCT
cana-5824	149	1	[	[	X
cana-5824	149	2	24	24	NUM
cana-5824	149	3	]	]	PUNCT
cana-5824	149	4	.	.	PUNCT
cana-5824	150	1	communications	communication	NOUN
cana-5824	150	2	on	on	ADP
cana-5824	150	3	applied	apply	VERB
cana-5824	150	4	nonlinear	nonlinear	ADJ
cana-5824	150	5	analysis	analysis	NOUN
cana-5824	150	6	issn	issn	NOUN
cana-5824	150	7	:	:	PUNCT
cana-5824	150	8	1074	1074	NUM
cana-5824	150	9	-	-	PUNCT
cana-5824	150	10	133x	133x	NUM
cana-5824	150	11	vol	vol	VERB
cana-5824	150	12	32	32	NUM
cana-5824	150	13	no	no	NOUN
cana-5824	150	14	.	.	PUNCT
cana-5824	151	1	10s	10	NOUN
cana-5824	151	2	(	(	PUNCT
cana-5824	151	3	2025	2025	NUM
cana-5824	151	4	)	)	PUNCT
cana-5824	151	5	2868	2868	NUM
cana-5824	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	152	1	4.1.2	4.1.2	NUM
cana-5824	152	2	computational	computational	ADJ
cana-5824	152	3	environment	environment	NOUN
cana-5824	152	4	all	all	DET
cana-5824	152	5	these	these	DET
cana-5824	152	6	experiments	experiment	NOUN
cana-5824	152	7	were	be	AUX
cana-5824	152	8	performed	perform	VERB
cana-5824	152	9	in	in	ADP
cana-5824	152	10	google	google	PROPN
cana-5824	152	11	colab	colab	PROPN
cana-5824	152	12	,	,	PUNCT
cana-5824	152	13	the	the	DET
cana-5824	152	14	environment	environment	NOUN
cana-5824	152	15	that	that	PRON
cana-5824	152	16	can	can	AUX
cana-5824	152	17	be	be	AUX
cana-5824	152	18	useful	useful	ADJ
cana-5824	152	19	when	when	SCONJ
cana-5824	152	20	performing	perform	VERB
cana-5824	152	21	computational	computational	ADJ
cana-5824	152	22	analysis	analysis	NOUN
cana-5824	152	23	.	.	PUNCT
cana-5824	153	1	hardware	hardware	NOUN
cana-5824	153	2	configuration	configuration	NOUN
cana-5824	153	3	consisted	consist	VERB
cana-5824	153	4	of	of	ADP
cana-5824	153	5	;	;	PUNCT
cana-5824	153	6	nvidia	nvidia	PROPN
cana-5824	153	7	tesla	tesla	PROPN
cana-5824	153	8	t4	t4	PROPN
cana-5824	153	9	gpu	gpu	PROPN
cana-5824	153	10	,	,	PUNCT
cana-5824	153	11	intel	intel	PROPN
cana-5824	153	12	xeon	xeon	PROPN
cana-5824	153	13	cpu	cpu	PROPN
cana-5824	153	14	,	,	PUNCT
cana-5824	153	15	and	and	CCONJ
cana-5824	153	16	12.6	12.6	NUM
cana-5824	153	17	gb	gb	NOUN
cana-5824	153	18	ram	ram	NOUN
cana-5824	153	19	.	.	PUNCT
cana-5824	154	1	the	the	DET
cana-5824	154	2	computational	computational	ADJ
cana-5824	154	3	demand	demand	NOUN
cana-5824	154	4	for	for	ADP
cana-5824	154	5	training	train	VERB
cana-5824	154	6	a	a	DET
cana-5824	154	7	large	large	ADJ
cana-5824	154	8	ensemble	ensemble	NOUN
cana-5824	154	9	of	of	ADP
cana-5824	154	10	models	model	NOUN
cana-5824	154	11	was	be	AUX
cana-5824	154	12	met	meet	VERB
cana-5824	154	13	by	by	ADP
cana-5824	154	14	the	the	DET
cana-5824	154	15	nvidia	nvidia	PROPN
cana-5824	154	16	tesla	tesla	PROPN
cana-5824	154	17	t4	t4	PROPN
cana-5824	154	18	gpu	gpu	PROPN
cana-5824	154	19	,	,	PUNCT
cana-5824	154	20	with	with	ADP
cana-5824	154	21	plenty	plenty	NOUN
cana-5824	154	22	of	of	ADP
cana-5824	154	23	memory	memory	NOUN
cana-5824	154	24	due	due	ADP
cana-5824	154	25	to	to	ADP
cana-5824	154	26	seamless	seamless	ADJ
cana-5824	154	27	data	datum	NOUN
cana-5824	154	28	processing	processing	NOUN
cana-5824	154	29	and	and	CCONJ
cana-5824	154	30	the	the	DET
cana-5824	154	31	optimization	optimization	NOUN
cana-5824	154	32	of	of	ADP
cana-5824	154	33	hyperparameters	hyperparameter	NOUN
cana-5824	154	34	of	of	ADP
cana-5824	154	35	the	the	DET
cana-5824	154	36	chosen	choose	VERB
cana-5824	154	37	model	model	NOUN
cana-5824	154	38	.	.	PUNCT
cana-5824	155	1	one	one	NUM
cana-5824	155	2	of	of	ADP
cana-5824	155	3	the	the	DET
cana-5824	155	4	peculiarities	peculiarity	NOUN
cana-5824	155	5	of	of	ADP
cana-5824	155	6	the	the	DET
cana-5824	155	7	cloud	cloud	NOUN
cana-5824	155	8	-	-	PUNCT
cana-5824	155	9	based	base	VERB
cana-5824	155	10	infrastructure	infrastructure	NOUN
cana-5824	155	11	was	be	AUX
cana-5824	155	12	the	the	DET
cana-5824	155	13	effectiveness	effectiveness	NOUN
cana-5824	155	14	of	of	ADP
cana-5824	155	15	the	the	DET
cana-5824	155	16	organization	organization	NOUN
cana-5824	155	17	of	of	ADP
cana-5824	155	18	collaborative	collaborative	ADJ
cana-5824	155	19	research	research	NOUN
cana-5824	155	20	with	with	ADP
cana-5824	155	21	data	datum	NOUN
cana-5824	155	22	and	and	CCONJ
cana-5824	155	23	code	code	NOUN
cana-5824	155	24	sharing	sharing	NOUN
cana-5824	155	25	among	among	ADP
cana-5824	155	26	the	the	DET
cana-5824	155	27	research	research	NOUN
cana-5824	155	28	team	team	NOUN
cana-5824	155	29	members	member	NOUN
cana-5824	155	30	.	.	PUNCT
cana-5824	156	1	4.1.3	4.1.3	NUM
cana-5824	156	2	software	software	NOUN
cana-5824	156	3	environment	environment	NOUN
cana-5824	156	4	for	for	ADP
cana-5824	156	5	this	this	DET
cana-5824	156	6	study	study	NOUN
cana-5824	156	7	,	,	PUNCT
cana-5824	156	8	the	the	DET
cana-5824	156	9	software	software	NOUN
cana-5824	156	10	stack	stack	NOUN
cana-5824	156	11	used	use	VERB
cana-5824	156	12	was	be	AUX
cana-5824	156	13	developed	develop	VERB
cana-5824	156	14	with	with	ADP
cana-5824	156	15	python	python	PROPN
cana-5824	156	16	3.8	3.8	NUM
cana-5824	156	17	and	and	CCONJ
cana-5824	156	18	other	other	ADJ
cana-5824	156	19	libraries	library	NOUN
cana-5824	156	20	and	and	CCONJ
cana-5824	156	21	frameworks	framework	NOUN
cana-5824	156	22	.	.	PUNCT
cana-5824	157	1	for	for	ADP
cana-5824	157	2	pre	pre	ADJ
cana-5824	157	3	-	-	ADJ
cana-5824	157	4	processing	process	VERB
cana-5824	157	5	the	the	DET
cana-5824	157	6	data	datum	NOUN
cana-5824	157	7	,	,	PUNCT
cana-5824	157	8	enhancing	enhance	VERB
cana-5824	157	9	the	the	DET
cana-5824	157	10	model	model	NOUN
cana-5824	157	11	accuracy	accuracy	NOUN
cana-5824	157	12	as	as	ADV
cana-5824	157	13	well	well	ADV
cana-5824	157	14	as	as	ADP
cana-5824	157	15	for	for	ADP
cana-5824	157	16	almost	almost	ADV
cana-5824	157	17	all	all	PRON
cana-5824	157	18	machine	machine	NOUN
cana-5824	157	19	learning	learn	VERB
cana-5824	157	20	operations	operation	NOUN
cana-5824	157	21	,	,	PUNCT
cana-5824	157	22	scikit	scikit	NOUN
cana-5824	157	23	-	-	PUNCT
cana-5824	157	24	learn	learn	NOUN
cana-5824	157	25	was	be	AUX
cana-5824	157	26	used	use	VERB
cana-5824	157	27	.	.	PUNCT
cana-5824	158	1	xgboost(xgb	xgboost(xgb	PROPN
cana-5824	158	2	)	)	PUNCT
cana-5824	158	3	was	be	AUX
cana-5824	158	4	used	use	VERB
cana-5824	158	5	when	when	SCONJ
cana-5824	158	6	dealing	deal	VERB
cana-5824	158	7	with	with	ADP
cana-5824	158	8	boosting	boost	VERB
cana-5824	158	9	,	,	PUNCT
cana-5824	158	10	gradient	gradient	ADJ
cana-5824	158	11	classifiers	classifier	NOUN
cana-5824	158	12	,	,	PUNCT
cana-5824	158	13	and	and	CCONJ
cana-5824	158	14	hyperparameters	hyperparameter	NOUN
cana-5824	158	15	.	.	PUNCT
cana-5824	159	1	the	the	DET
cana-5824	159	2	oversampling	oversampling	ADJ
cana-5824	159	3	techniques	technique	NOUN
cana-5824	159	4	such	such	ADJ
cana-5824	159	5	as	as	ADP
cana-5824	159	6	adasyn	adasyn	PROPN
cana-5824	159	7	were	be	AUX
cana-5824	159	8	implemented	implement	VERB
cana-5824	159	9	with	with	ADP
cana-5824	159	10	the	the	DET
cana-5824	159	11	help	help	NOUN
cana-5824	159	12	of	of	ADP
cana-5824	159	13	the	the	DET
cana-5824	159	14	imbalanced	imbalance	VERB
cana-5824	159	15	-	-	PUNCT
cana-5824	159	16	learn	learn	VERB
cana-5824	159	17	library	library	NOUN
cana-5824	159	18	data	datum	NOUN
cana-5824	159	19	handling	handling	NOUN
cana-5824	159	20	and	and	CCONJ
cana-5824	159	21	numerical	numerical	ADJ
cana-5824	159	22	computations	computation	NOUN
cana-5824	159	23	were	be	AUX
cana-5824	159	24	done	do	VERB
cana-5824	159	25	using	use	VERB
cana-5824	159	26	pandas	panda	NOUN
cana-5824	159	27	and	and	CCONJ
cana-5824	159	28	numpy	numpy	NOUN
cana-5824	159	29	.	.	PUNCT
cana-5824	160	1	matplotlib	matplotlib	PROPN
cana-5824	160	2	and	and	CCONJ
cana-5824	160	3	seaborn	seaborn	PROPN
cana-5824	160	4	were	be	AUX
cana-5824	160	5	used	use	VERB
cana-5824	160	6	to	to	PART
cana-5824	160	7	perform	perform	VERB
cana-5824	160	8	visualization	visualization	NOUN
cana-5824	160	9	of	of	ADP
cana-5824	160	10	data	datum	NOUN
cana-5824	160	11	and	and	CCONJ
cana-5824	160	12	results	result	NOUN
cana-5824	160	13	obtained	obtain	VERB
cana-5824	160	14	after	after	ADP
cana-5824	160	15	data	datum	NOUN
cana-5824	160	16	analysis	analysis	NOUN
cana-5824	160	17	.	.	PUNCT
cana-5824	161	1	the	the	DET
cana-5824	161	2	fact	fact	NOUN
cana-5824	161	3	that	that	SCONJ
cana-5824	161	4	all	all	DET
cana-5824	161	5	these	these	DET
cana-5824	161	6	tools	tool	NOUN
cana-5824	161	7	were	be	AUX
cana-5824	161	8	runned	runne	VERB
cana-5824	161	9	in	in	ADP
cana-5824	161	10	the	the	DET
cana-5824	161	11	google	google	PROPN
cana-5824	161	12	colab	colab	PROPN
cana-5824	161	13	environment	environment	PROPN
cana-5824	161	14	allowed	allow	VERB
cana-5824	161	15	for	for	ADP
cana-5824	161	16	sequenced	sequence	VERB
cana-5824	161	17	experimentations	experimentation	NOUN
cana-5824	161	18	and	and	CCONJ
cana-5824	161	19	guaranteed	guarantee	VERB
cana-5824	161	20	the	the	DET
cana-5824	161	21	replicability	replicability	NOUN
cana-5824	161	22	of	of	ADP
cana-5824	161	23	the	the	DET
cana-5824	161	24	solution	solution	NOUN
cana-5824	161	25	.	.	PUNCT
cana-5824	162	1	4.2	4.2	NUM
cana-5824	162	2	experimentation	experimentation	NOUN
cana-5824	162	3	with	with	ADP
cana-5824	162	4	models	model	NOUN
cana-5824	162	5	and	and	CCONJ
cana-5824	162	6	ensemble	ensemble	ADJ
cana-5824	162	7	techniques	technique	NOUN
cana-5824	162	8	in	in	ADP
cana-5824	162	9	the	the	DET
cana-5824	162	10	testing	testing	NOUN
cana-5824	162	11	phase	phase	NOUN
cana-5824	162	12	,	,	PUNCT
cana-5824	162	13	results	result	VERB
cana-5824	162	14	for	for	ADP
cana-5824	162	15	the	the	DET
cana-5824	162	16	preprocessed	preprocesse	VERB
cana-5824	162	17	dataset	dataset	NOUN
cana-5824	162	18	were	be	AUX
cana-5824	162	19	checked	check	VERB
cana-5824	162	20	with	with	ADP
cana-5824	162	21	single	single	ADJ
cana-5824	162	22	base	base	NOUN
cana-5824	162	23	models	model	NOUN
cana-5824	162	24	in	in	ADP
cana-5824	162	25	order	order	NOUN
cana-5824	162	26	to	to	PART
cana-5824	162	27	understand	understand	VERB
cana-5824	162	28	how	how	SCONJ
cana-5824	162	29	they	they	PRON
cana-5824	162	30	perform	perform	VERB
cana-5824	162	31	on	on	ADP
cana-5824	162	32	each	each	DET
cana-5824	162	33	other	other	ADJ
cana-5824	162	34	and	and	CCONJ
cana-5824	162	35	what	what	PRON
cana-5824	162	36	issues	issue	NOUN
cana-5824	162	37	might	might	AUX
cana-5824	162	38	have	have	AUX
cana-5824	162	39	occurred	occur	VERB
cana-5824	162	40	.	.	PUNCT
cana-5824	163	1	all	all	DET
cana-5824	163	2	evaluated	evaluate	VERB
cana-5824	163	3	instances	instance	NOUN
cana-5824	163	4	,	,	PUNCT
cana-5824	163	5	namely	namely	ADV
cana-5824	163	6	random	random	ADJ
cana-5824	163	7	forest	forest	NOUN
cana-5824	163	8	(	(	PUNCT
cana-5824	163	9	rf	rf	NOUN
cana-5824	163	10	)	)	PUNCT
cana-5824	163	11	,	,	PUNCT
cana-5824	163	12	gradient	gradient	NOUN
cana-5824	163	13	boosting	boosting	NOUN
cana-5824	163	14	(	(	PUNCT
cana-5824	163	15	gb	gb	NOUN
cana-5824	163	16	)	)	PUNCT
cana-5824	163	17	,	,	PUNCT
cana-5824	163	18	xgb	xgb	PROPN
cana-5824	163	19	,	,	PUNCT
cana-5824	163	20	balanced	balance	VERB
cana-5824	163	21	random	random	ADJ
cana-5824	163	22	forest	forest	NOUN
cana-5824	163	23	(	(	PUNCT
cana-5824	163	24	brf	brf	PROPN
cana-5824	163	25	)	)	PUNCT
cana-5824	163	26	,	,	PUNCT
cana-5824	163	27	easy	easy	ADJ
cana-5824	163	28	ensembles	ensemble	NOUN
cana-5824	163	29	,	,	PUNCT
cana-5824	163	30	support	support	VERB
cana-5824	163	31	vector	vector	NOUN
cana-5824	163	32	classifier	classifier	NOUN
cana-5824	163	33	(	(	PUNCT
cana-5824	163	34	svc	svc	PROPN
cana-5824	163	35	)	)	PUNCT
cana-5824	163	36	,	,	PUNCT
cana-5824	163	37	and	and	CCONJ
cana-5824	163	38	multi	multi	ADJ
cana-5824	163	39	-	-	ADJ
cana-5824	163	40	layer	layer	ADJ
cana-5824	163	41	perceptron	perceptron	NOUN
cana-5824	163	42	(	(	PUNCT
cana-5824	163	43	mlp	mlp	PROPN
cana-5824	163	44	)	)	PUNCT
cana-5824	163	45	,	,	PUNCT
cana-5824	163	46	are	be	AUX
cana-5824	163	47	listed	list	VERB
cana-5824	163	48	in	in	ADP
cana-5824	163	49	table	table	NOUN
cana-5824	163	50	1	1	NUM
cana-5824	163	51	alongside	alongside	ADP
cana-5824	163	52	true	true	ADJ
cana-5824	163	53	positive	positive	ADJ
cana-5824	163	54	rate	rate	NOUN
cana-5824	163	55	(	(	PUNCT
cana-5824	163	56	tpr	tpr	NOUN
cana-5824	163	57	)	)	PUNCT
cana-5824	163	58	,	,	PUNCT
cana-5824	163	59	false	false	ADJ
cana-5824	163	60	positive	positive	ADJ
cana-5824	163	61	rate	rate	NOUN
cana-5824	163	62	(	(	PUNCT
cana-5824	163	63	fpr	fpr	NOUN
cana-5824	163	64	)	)	PUNCT
cana-5824	163	65	,	,	PUNCT
cana-5824	163	66	true	true	ADJ
cana-5824	163	67	negative	negative	ADJ
cana-5824	163	68	rate	rate	NOUN
cana-5824	163	69	(	(	PUNCT
cana-5824	163	70	tnr	tnr	PROPN
cana-5824	163	71	)	)	PUNCT
cana-5824	163	72	,	,	PUNCT
cana-5824	163	73	false	false	ADJ
cana-5824	163	74	negative	negative	ADJ
cana-5824	163	75	rate	rate	NOUN
cana-5824	163	76	(	(	PUNCT
cana-5824	163	77	fnr	fnr	PROPN
cana-5824	163	78	)	)	PUNCT
cana-5824	163	79	,	,	PUNCT
cana-5824	163	80	accuracy	accuracy	NOUN
cana-5824	163	81	and	and	CCONJ
cana-5824	163	82	roc	roc	PROPN
cana-5824	163	83	auc	auc	NOUN
cana-5824	163	84	.	.	PUNCT
cana-5824	164	1	4.2.1	4.2.1	NUM
cana-5824	164	2	key	key	ADJ
cana-5824	164	3	observations	observation	NOUN
cana-5824	164	4	of	of	ADP
cana-5824	164	5	base	base	NOUN
cana-5824	164	6	models	model	NOUN
cana-5824	164	7	various	various	ADJ
cana-5824	164	8	base	base	NOUN
cana-5824	164	9	models	model	NOUN
cana-5824	164	10	were	be	AUX
cana-5824	164	11	explored	explore	VERB
cana-5824	164	12	to	to	PART
cana-5824	164	13	evaluate	evaluate	VERB
cana-5824	164	14	their	their	PRON
cana-5824	164	15	suitability	suitability	NOUN
cana-5824	164	16	for	for	ADP
cana-5824	164	17	the	the	DET
cana-5824	164	18	task	task	NOUN
cana-5824	164	19	.	.	PUNCT
cana-5824	165	1	the	the	DET
cana-5824	165	2	rf	rf	NOUN
cana-5824	165	3	classifier	classifier	NOUN
cana-5824	165	4	was	be	AUX
cana-5824	165	5	employed	employ	VERB
cana-5824	165	6	due	due	ADP
cana-5824	165	7	to	to	ADP
cana-5824	165	8	its	its	PRON
cana-5824	165	9	ensemble	ensemble	ADJ
cana-5824	165	10	nature	nature	NOUN
cana-5824	165	11	,	,	PUNCT
cana-5824	165	12	combining	combine	VERB
cana-5824	165	13	decision	decision	NOUN
cana-5824	165	14	trees	tree	NOUN
cana-5824	165	15	using	use	VERB
cana-5824	165	16	bootstrapped	bootstrappe	VERB
cana-5824	165	17	aggregation	aggregation	NOUN
cana-5824	165	18	(	(	PUNCT
cana-5824	165	19	bagging	bagging	NOUN
cana-5824	165	20	)	)	PUNCT
cana-5824	165	21	to	to	PART
cana-5824	165	22	enhance	enhance	VERB
cana-5824	165	23	predictive	predictive	ADJ
cana-5824	165	24	accuracy	accuracy	NOUN
cana-5824	165	25	and	and	CCONJ
cana-5824	165	26	mitigate	mitigate	VERB
cana-5824	165	27	overfitting	overfitte	VERB
cana-5824	165	28	tendencies	tendency	NOUN
cana-5824	165	29	.	.	PUNCT
cana-5824	166	1	xgb	xgb	PROPN
cana-5824	166	2	was	be	AUX
cana-5824	166	3	investigated	investigate	VERB
cana-5824	166	4	for	for	ADP
cana-5824	166	5	its	its	PRON
cana-5824	166	6	ability	ability	NOUN
cana-5824	166	7	to	to	PART
cana-5824	166	8	handle	handle	VERB
cana-5824	166	9	high	high	ADJ
cana-5824	166	10	dimensional	dimensional	ADJ
cana-5824	166	11	and	and	CCONJ
cana-5824	166	12	imbalanced	imbalanced	ADJ
cana-5824	166	13	datasets	dataset	NOUN
cana-5824	166	14	,	,	PUNCT
cana-5824	166	15	leveraging	leverage	VERB
cana-5824	166	16	its	its	PRON
cana-5824	166	17	robust	robust	ADJ
cana-5824	166	18	feature	feature	NOUN
cana-5824	166	19	-	-	PUNCT
cana-5824	166	20	capturing	capture	VERB
cana-5824	166	21	capabilities	capability	NOUN
cana-5824	166	22	.	.	PUNCT
cana-5824	167	1	additionally	additionally	ADV
cana-5824	167	2	,	,	PUNCT
cana-5824	167	3	gb	gb	PRON
cana-5824	167	4	was	be	AUX
cana-5824	167	5	utilized	utilize	VERB
cana-5824	167	6	to	to	PART
cana-5824	167	7	focus	focus	VERB
cana-5824	167	8	on	on	ADP
cana-5824	167	9	capturing	capture	VERB
cana-5824	167	10	intricate	intricate	ADJ
cana-5824	167	11	data	datum	NOUN
cana-5824	167	12	patterns	pattern	NOUN
cana-5824	167	13	and	and	CCONJ
cana-5824	167	14	handling	handle	VERB
cana-5824	167	15	borderline	borderline	NOUN
cana-5824	167	16	cases	case	NOUN
cana-5824	167	17	effectively	effectively	ADV
cana-5824	167	18	.	.	PUNCT
cana-5824	168	1	these	these	DET
cana-5824	168	2	models	model	NOUN
cana-5824	168	3	were	be	AUX
cana-5824	168	4	selected	select	VERB
cana-5824	168	5	to	to	PART
cana-5824	168	6	provide	provide	VERB
cana-5824	168	7	a	a	DET
cana-5824	168	8	diverse	diverse	ADJ
cana-5824	168	9	set	set	NOUN
cana-5824	168	10	of	of	ADP
cana-5824	168	11	approaches	approach	NOUN
cana-5824	168	12	for	for	ADP
cana-5824	168	13	understanding	understand	VERB
cana-5824	168	14	the	the	DET
cana-5824	168	15	data	datum	NOUN
cana-5824	168	16	and	and	CCONJ
cana-5824	168	17	addressing	address	VERB
cana-5824	168	18	the	the	DET
cana-5824	168	19	complexities	complexity	NOUN
cana-5824	168	20	of	of	ADP
cana-5824	168	21	the	the	DET
cana-5824	168	22	electricity	electricity	NOUN
cana-5824	168	23	theft	theft	NOUN
cana-5824	168	24	detection	detection	NOUN
cana-5824	168	25	problem	problem	NOUN
cana-5824	168	26	,	,	PUNCT
cana-5824	168	27	serving	serve	VERB
cana-5824	168	28	as	as	ADP
cana-5824	168	29	foundational	foundational	ADJ
cana-5824	168	30	components	component	NOUN
cana-5824	168	31	for	for	ADP
cana-5824	168	32	further	further	ADJ
cana-5824	168	33	analysis	analysis	NOUN
cana-5824	168	34	or	or	CCONJ
cana-5824	168	35	ensemble	ensemble	ADJ
cana-5824	168	36	modeling	modeling	NOUN
cana-5824	168	37	.	.	PUNCT
cana-5824	169	1	ensemble	ensemble	ADJ
cana-5824	169	2	methods	method	NOUN
cana-5824	169	3	,	,	PUNCT
cana-5824	169	4	which	which	PRON
cana-5824	169	5	integrate	integrate	VERB
cana-5824	169	6	base	base	NOUN
cana-5824	169	7	classifiers	classifier	NOUN
cana-5824	169	8	,	,	PUNCT
cana-5824	169	9	were	be	AUX
cana-5824	169	10	employed	employ	VERB
cana-5824	169	11	to	to	PART
cana-5824	169	12	enhance	enhance	VERB
cana-5824	169	13	accuracy	accuracy	NOUN
cana-5824	169	14	and	and	CCONJ
cana-5824	169	15	generalization	generalization	NOUN
cana-5824	169	16	.	.	PUNCT
cana-5824	170	1	several	several	ADJ
cana-5824	170	2	approaches	approach	NOUN
cana-5824	170	3	were	be	AUX
cana-5824	170	4	explored	explore	VERB
cana-5824	170	5	,	,	PUNCT
cana-5824	170	6	with	with	ADP
cana-5824	170	7	key	key	ADJ
cana-5824	170	8	findings	finding	NOUN
cana-5824	170	9	outlined	outline	VERB
cana-5824	170	10	below	below	ADV
cana-5824	170	11	.	.	PUNCT
cana-5824	171	1	4.2.2	4.2.2	X
cana-5824	171	2	.	.	PUNCT
cana-5824	172	1	key	key	ADJ
cana-5824	172	2	observations	observation	NOUN
cana-5824	172	3	of	of	ADP
cana-5824	172	4	varying	vary	VERB
cana-5824	172	5	ensemble	ensemble	ADJ
cana-5824	172	6	models	model	NOUN
cana-5824	172	7	the	the	DET
cana-5824	172	8	easy	easy	ADJ
cana-5824	172	9	ensemble	ensemble	ADJ
cana-5824	172	10	classifier	classifier	NOUN
cana-5824	172	11	applied	apply	VERB
cana-5824	172	12	a	a	DET
cana-5824	172	13	bagging	bagging	NOUN
cana-5824	172	14	-	-	PUNCT
cana-5824	172	15	based	base	VERB
cana-5824	172	16	strategy	strategy	NOUN
cana-5824	172	17	and	and	CCONJ
cana-5824	172	18	resampled	resample	VERB
cana-5824	172	19	the	the	DET
cana-5824	172	20	majority	majority	NOUN
cana-5824	172	21	class	class	NOUN
cana-5824	172	22	to	to	PART
cana-5824	172	23	create	create	VERB
cana-5824	172	24	balanced	balanced	ADJ
cana-5824	172	25	datasets	dataset	NOUN
cana-5824	172	26	for	for	ADP
cana-5824	172	27	constructing	construct	VERB
cana-5824	172	28	weak	weak	ADJ
cana-5824	172	29	learners	learner	NOUN
cana-5824	172	30	.	.	PUNCT
cana-5824	173	1	while	while	SCONJ
cana-5824	173	2	this	this	DET
cana-5824	173	3	approach	approach	NOUN
cana-5824	173	4	aimed	aim	VERB
cana-5824	173	5	to	to	PART
cana-5824	173	6	address	address	VERB
cana-5824	173	7	class	class	NOUN
cana-5824	173	8	imbalance	imbalance	NOUN
cana-5824	173	9	,	,	PUNCT
cana-5824	173	10	it	it	PRON
cana-5824	173	11	exhibited	exhibit	VERB
cana-5824	173	12	poor	poor	ADJ
cana-5824	173	13	recall	recall	NOUN
cana-5824	173	14	values	value	NOUN
cana-5824	173	15	for	for	ADP
cana-5824	173	16	theft	theft	NOUN
cana-5824	173	17	detection	detection	NOUN
cana-5824	173	18	cases	case	NOUN
cana-5824	173	19	,	,	PUNCT
cana-5824	173	20	making	make	VERB
cana-5824	173	21	it	it	PRON
cana-5824	173	22	less	less	ADV
cana-5824	173	23	effective	effective	ADJ
cana-5824	173	24	for	for	ADP
cana-5824	173	25	standalone	standalone	ADJ
cana-5824	173	26	use	use	NOUN
cana-5824	173	27	.	.	PUNCT
cana-5824	174	1	voting	vote	VERB
cana-5824	174	2	classifiers	classifier	NOUN
cana-5824	174	3	,	,	PUNCT
cana-5824	174	4	encompassing	encompass	VERB
cana-5824	174	5	both	both	CCONJ
cana-5824	174	6	soft	soft	ADJ
cana-5824	174	7	and	and	CCONJ
cana-5824	174	8	hard	hard	ADJ
cana-5824	174	9	voting	voting	NOUN
cana-5824	174	10	techniques	technique	NOUN
cana-5824	174	11	,	,	PUNCT
cana-5824	174	12	were	be	AUX
cana-5824	174	13	implemented	implement	VERB
cana-5824	174	14	to	to	PART
cana-5824	174	15	combine	combine	VERB
cana-5824	174	16	results	result	NOUN
cana-5824	174	17	from	from	ADP
cana-5824	174	18	multiple	multiple	ADJ
cana-5824	174	19	models	model	NOUN
cana-5824	174	20	.	.	PUNCT
cana-5824	175	1	soft	soft	ADJ
cana-5824	175	2	voting	voting	NOUN
cana-5824	175	3	slightly	slightly	ADV
cana-5824	175	4	improved	improve	VERB
cana-5824	175	5	the	the	DET
cana-5824	175	6	roc	roc	PROPN
cana-5824	175	7	auc	auc	NOUN
cana-5824	175	8	and	and	CCONJ
cana-5824	175	9	recall	recall	NOUN
cana-5824	175	10	,	,	PUNCT
cana-5824	175	11	while	while	SCONJ
cana-5824	175	12	hard	hard	ADJ
cana-5824	175	13	voting	voting	NOUN
cana-5824	175	14	demonstrated	demonstrate	VERB
cana-5824	175	15	stable	stable	ADJ
cana-5824	175	16	performance	performance	NOUN
cana-5824	175	17	.	.	PUNCT
cana-5824	176	1	however	however	ADV
cana-5824	176	2	,	,	PUNCT
cana-5824	176	3	the	the	DET
cana-5824	176	4	benefits	benefit	NOUN
cana-5824	176	5	of	of	ADP
cana-5824	176	6	soft	soft	ADJ
cana-5824	176	7	voting	voting	NOUN
cana-5824	176	8	,	,	PUNCT
cana-5824	176	9	such	such	ADJ
cana-5824	176	10	as	as	ADP
cana-5824	176	11	balanced	balanced	ADJ
cana-5824	176	12	precision	precision	NOUN
cana-5824	176	13	-	-	PUNCT
cana-5824	176	14	recall	recall	NOUN
cana-5824	176	15	division	division	NOUN
cana-5824	176	16	,	,	PUNCT
cana-5824	176	17	were	be	AUX
cana-5824	176	18	not	not	PART
cana-5824	176	19	prominent	prominent	ADJ
cana-5824	176	20	in	in	ADP
cana-5824	176	21	this	this	DET
cana-5824	176	22	study	study	NOUN
cana-5824	176	23	.	.	PUNCT
cana-5824	177	1	weighted	weight	VERB
cana-5824	177	2	bagging	bagging	NOUN
cana-5824	177	3	,	,	PUNCT
cana-5824	177	4	utilizing	utilize	VERB
cana-5824	177	5	random	random	ADJ
cana-5824	177	6	forest	forest	NOUN
cana-5824	177	7	(	(	PUNCT
cana-5824	177	8	rf	rf	NOUN
cana-5824	177	9	)	)	PUNCT
cana-5824	177	10	as	as	ADP
cana-5824	177	11	the	the	DET
cana-5824	177	12	base	base	NOUN
cana-5824	177	13	learner	learner	NOUN
cana-5824	177	14	,	,	PUNCT
cana-5824	177	15	emphasized	emphasize	VERB
cana-5824	177	16	the	the	DET
cana-5824	177	17	communications	communication	NOUN
cana-5824	177	18	on	on	ADP
cana-5824	177	19	applied	apply	VERB
cana-5824	177	20	nonlinear	nonlinear	ADJ
cana-5824	177	21	analysis	analysis	NOUN
cana-5824	177	22	issn	issn	NOUN
cana-5824	177	23	:	:	PUNCT
cana-5824	177	24	1074	1074	NUM
cana-5824	177	25	-	-	PUNCT
cana-5824	177	26	133x	133x	NUM
cana-5824	177	27	vol	vol	VERB
cana-5824	177	28	32	32	NUM
cana-5824	177	29	no	no	NOUN
cana-5824	177	30	.	.	PUNCT
cana-5824	178	1	10s	10	NOUN
cana-5824	178	2	(	(	PUNCT
cana-5824	178	3	2025	2025	NUM
cana-5824	178	4	)	)	PUNCT
cana-5824	178	5	2869	2869	NUM
cana-5824	178	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	178	7	minority	minority	NOUN
cana-5824	178	8	class	class	NOUN
cana-5824	178	9	.	.	PUNCT
cana-5824	179	1	while	while	SCONJ
cana-5824	179	2	it	it	PRON
cana-5824	179	3	improved	improve	VERB
cana-5824	179	4	sensitivity	sensitivity	NOUN
cana-5824	179	5	toward	toward	ADP
cana-5824	179	6	theft	theft	NOUN
cana-5824	179	7	cases	case	NOUN
cana-5824	179	8	,	,	PUNCT
cana-5824	179	9	calibration	calibration	NOUN
cana-5824	179	10	of	of	ADP
cana-5824	179	11	evaluation	evaluation	NOUN
cana-5824	179	12	factor	factor	NOUN
cana-5824	179	13	weights	weight	NOUN
cana-5824	179	14	was	be	AUX
cana-5824	179	15	necessary	necessary	ADJ
cana-5824	179	16	to	to	PART
cana-5824	179	17	prevent	prevent	VERB
cana-5824	179	18	overemphasis	overemphasis	NOUN
cana-5824	179	19	and	and	CCONJ
cana-5824	179	20	maintain	maintain	VERB
cana-5824	179	21	balance	balance	NOUN
cana-5824	179	22	.	.	PUNCT
cana-5824	180	1	stacking	stacking	NOUN
cana-5824	180	2	,	,	PUNCT
cana-5824	180	3	an	an	DET
cana-5824	180	4	advanced	advanced	ADJ
cana-5824	180	5	ensemble	ensemble	ADJ
cana-5824	180	6	technique	technique	NOUN
cana-5824	180	7	,	,	PUNCT
cana-5824	180	8	employed	employ	VERB
cana-5824	180	9	logistic	logistic	ADJ
cana-5824	180	10	regression	regression	NOUN
cana-5824	180	11	(	(	PUNCT
cana-5824	180	12	lr	lr	NOUN
cana-5824	180	13	)	)	PUNCT
cana-5824	180	14	as	as	ADP
cana-5824	180	15	a	a	DET
cana-5824	180	16	meta	meta	ADJ
cana-5824	180	17	-	-	PUNCT
cana-5824	180	18	learner	learner	NOUN
cana-5824	180	19	and	and	CCONJ
cana-5824	180	20	used	use	VERB
cana-5824	180	21	predictions	prediction	NOUN
cana-5824	180	22	from	from	ADP
cana-5824	180	23	rf	rf	NOUN
cana-5824	180	24	,	,	PUNCT
cana-5824	180	25	gradient	gradient	ADJ
cana-5824	180	26	boosting	boosting	NOUN
cana-5824	180	27	(	(	PUNCT
cana-5824	180	28	gb	gb	NOUN
cana-5824	180	29	)	)	PUNCT
cana-5824	180	30	,	,	PUNCT
cana-5824	180	31	and	and	CCONJ
cana-5824	180	32	extreme	extreme	ADJ
cana-5824	180	33	gradient	gradient	NOUN
cana-5824	180	34	boosting	boost	VERB
cana-5824	180	35	(	(	PUNCT
cana-5824	180	36	xgb	xgb	NOUN
cana-5824	180	37	)	)	PUNCT
cana-5824	180	38	as	as	ADP
cana-5824	180	39	inputs	input	NOUN
cana-5824	180	40	.	.	PUNCT
cana-5824	181	1	stacking	stack	VERB
cana-5824	181	2	effectively	effectively	ADV
cana-5824	181	3	addressed	address	VERB
cana-5824	181	4	the	the	DET
cana-5824	181	5	limitations	limitation	NOUN
cana-5824	181	6	of	of	ADP
cana-5824	181	7	individual	individual	ADJ
cana-5824	181	8	models	model	NOUN
cana-5824	181	9	,	,	PUNCT
cana-5824	181	10	offering	offer	VERB
cana-5824	181	11	a	a	DET
cana-5824	181	12	robust	robust	ADJ
cana-5824	181	13	solution	solution	NOUN
cana-5824	181	14	to	to	ADP
cana-5824	181	15	challenges	challenge	NOUN
cana-5824	181	16	posed	pose	VERB
cana-5824	181	17	by	by	ADP
cana-5824	181	18	imbalanced	imbalanced	ADJ
cana-5824	181	19	datasets	dataset	NOUN
cana-5824	181	20	.	.	PUNCT
cana-5824	182	1	the	the	DET
cana-5824	182	2	strengths	strength	NOUN
cana-5824	182	3	of	of	ADP
cana-5824	182	4	the	the	DET
cana-5824	182	5	base	base	NOUN
cana-5824	182	6	learners	learner	NOUN
cana-5824	182	7	—	—	PUNCT
cana-5824	182	8	rf	rf	ADJ
cana-5824	182	9	for	for	ADP
cana-5824	182	10	generalization	generalization	NOUN
cana-5824	182	11	,	,	PUNCT
cana-5824	182	12	gb	gb	ADP
cana-5824	182	13	for	for	ADP
cana-5824	182	14	capturing	capture	VERB
cana-5824	182	15	complex	complex	ADJ
cana-5824	182	16	patterns	pattern	NOUN
cana-5824	182	17	,	,	PUNCT
cana-5824	182	18	and	and	CCONJ
cana-5824	182	19	xgb	xgb	NOUN
cana-5824	182	20	for	for	ADP
cana-5824	182	21	advanced	advanced	ADJ
cana-5824	182	22	optimization	optimization	NOUN
cana-5824	182	23	—	—	PUNCT
cana-5824	182	24	were	be	AUX
cana-5824	182	25	leveraged	leverage	VERB
cana-5824	182	26	to	to	PART
cana-5824	182	27	achieve	achieve	VERB
cana-5824	182	28	superior	superior	ADJ
cana-5824	182	29	performance	performance	NOUN
cana-5824	182	30	.	.	PUNCT
cana-5824	183	1	lr	lr	NOUN
cana-5824	183	2	aggregated	aggregate	VERB
cana-5824	183	3	these	these	DET
cana-5824	183	4	diverse	diverse	ADJ
cana-5824	183	5	outputs	output	NOUN
cana-5824	183	6	in	in	ADP
cana-5824	183	7	a	a	DET
cana-5824	183	8	straightforward	straightforward	ADJ
cana-5824	183	9	yet	yet	CCONJ
cana-5824	183	10	efficient	efficient	ADJ
cana-5824	183	11	manner	manner	NOUN
cana-5824	183	12	,	,	PUNCT
cana-5824	183	13	reducing	reduce	VERB
cana-5824	183	14	overfitting	overfitte	VERB
cana-5824	183	15	through	through	ADP
cana-5824	183	16	regularization	regularization	NOUN
cana-5824	183	17	and	and	CCONJ
cana-5824	183	18	ensuring	ensure	VERB
cana-5824	183	19	balanced	balanced	ADJ
cana-5824	183	20	predictions	prediction	NOUN
cana-5824	183	21	.	.	PUNCT
cana-5824	184	1	two	two	NUM
cana-5824	184	2	alternative	alternative	ADJ
cana-5824	184	3	stacking	stacking	NOUN
cana-5824	184	4	configurations	configuration	NOUN
cana-5824	184	5	were	be	AUX
cana-5824	184	6	also	also	ADV
cana-5824	184	7	tested	test	VERB
cana-5824	184	8	.	.	PUNCT
cana-5824	185	1	the	the	DET
cana-5824	185	2	first	first	ADJ
cana-5824	185	3	used	use	VERB
cana-5824	185	4	xgb	xgb	PROPN
cana-5824	185	5	as	as	ADP
cana-5824	185	6	the	the	DET
cana-5824	185	7	meta	meta	ADJ
cana-5824	185	8	-	-	PUNCT
cana-5824	185	9	learner	learner	NOUN
cana-5824	185	10	with	with	ADP
cana-5824	185	11	rf	rf	PROPN
cana-5824	185	12	,	,	PUNCT
cana-5824	185	13	gb	gb	NOUN
cana-5824	185	14	,	,	PUNCT
cana-5824	185	15	and	and	CCONJ
cana-5824	185	16	balanced	balanced	ADJ
cana-5824	185	17	random	random	ADJ
cana-5824	185	18	forest	forest	NOUN
cana-5824	185	19	(	(	PUNCT
cana-5824	185	20	brf	brf	PROPN
cana-5824	185	21	)	)	PUNCT
cana-5824	185	22	as	as	ADP
cana-5824	185	23	base	base	NOUN
cana-5824	185	24	learners	learner	NOUN
cana-5824	185	25	.	.	PUNCT
cana-5824	186	1	this	this	DET
cana-5824	186	2	setup	setup	NOUN
cana-5824	186	3	enhanced	enhance	VERB
cana-5824	186	4	recall	recall	NOUN
cana-5824	186	5	and	and	CCONJ
cana-5824	186	6	precision	precision	NOUN
cana-5824	186	7	through	through	ADP
cana-5824	186	8	xgb	xgb	PROPN
cana-5824	186	9	’s	’s	PART
cana-5824	186	10	gradient	gradient	ADJ
cana-5824	186	11	boosting	boosting	NOUN
cana-5824	186	12	but	but	CCONJ
cana-5824	186	13	struggled	struggle	VERB
cana-5824	186	14	with	with	ADP
cana-5824	186	15	class	class	NOUN
cana-5824	186	16	imbalance	imbalance	NOUN
cana-5824	186	17	.	.	PUNCT
cana-5824	187	1	the	the	DET
cana-5824	187	2	second	second	ADJ
cana-5824	187	3	variant	variant	NOUN
cana-5824	187	4	used	use	VERB
cana-5824	187	5	lr	lr	NOUN
cana-5824	187	6	as	as	ADP
cana-5824	187	7	the	the	DET
cana-5824	187	8	metalearner	metalearner	NOUN
cana-5824	187	9	with	with	ADP
cana-5824	187	10	the	the	DET
cana-5824	187	11	same	same	ADJ
cana-5824	187	12	base	base	NOUN
cana-5824	187	13	learners	learner	NOUN
cana-5824	187	14	,	,	PUNCT
cana-5824	187	15	abbreviated	abbreviate	VERB
cana-5824	187	16	as	as	ADP
cana-5824	187	17	lr	lr	NOUN
cana-5824	187	18	-	-	PUNCT
cana-5824	187	19	rf	rf	ADJ
cana-5824	187	20	,	,	PUNCT
cana-5824	187	21	lr	lr	NOUN
cana-5824	187	22	-	-	PUNCT
cana-5824	187	23	gb	gb	NOUN
cana-5824	187	24	,	,	PUNCT
cana-5824	187	25	and	and	CCONJ
cana-5824	187	26	lr	lr	PROPN
cana-5824	187	27	-	-	PUNCT
cana-5824	187	28	brf	brf	NOUN
cana-5824	187	29	.	.	PUNCT
cana-5824	188	1	this	this	DET
cana-5824	188	2	approach	approach	NOUN
cana-5824	188	3	balanced	balance	VERB
cana-5824	188	4	recall	recall	NOUN
cana-5824	188	5	and	and	CCONJ
cana-5824	188	6	precision	precision	NOUN
cana-5824	188	7	,	,	PUNCT
cana-5824	188	8	with	with	ADP
cana-5824	188	9	lr	lr	PROPN
cana-5824	188	10	’s	’s	PART
cana-5824	188	11	linear	linear	ADJ
cana-5824	188	12	predictions	prediction	NOUN
cana-5824	188	13	simplifying	simplify	VERB
cana-5824	188	14	the	the	DET
cana-5824	188	15	integration	integration	NOUN
cana-5824	188	16	of	of	ADP
cana-5824	188	17	base	base	NOUN
cana-5824	188	18	model	model	NOUN
cana-5824	188	19	outputs	output	NOUN
cana-5824	188	20	.	.	PUNCT
cana-5824	189	1	while	while	SCONJ
cana-5824	189	2	this	this	DET
cana-5824	189	3	configuration	configuration	NOUN
cana-5824	189	4	generalized	generalize	VERB
cana-5824	189	5	well	well	ADV
cana-5824	189	6	,	,	PUNCT
cana-5824	189	7	it	it	PRON
cana-5824	189	8	achieved	achieve	VERB
cana-5824	189	9	only	only	ADV
cana-5824	189	10	moderate	moderate	ADJ
cana-5824	189	11	control	control	NOUN
cana-5824	189	12	over	over	ADP
cana-5824	189	13	false	false	ADJ
cana-5824	189	14	positives	positive	NOUN
cana-5824	189	15	.	.	PUNCT
cana-5824	190	1	in	in	ADP
cana-5824	190	2	summary	summary	NOUN
cana-5824	190	3	,	,	PUNCT
cana-5824	190	4	individual	individual	ADJ
cana-5824	190	5	classifiers	classifier	NOUN
cana-5824	190	6	exhibited	exhibit	VERB
cana-5824	190	7	unique	unique	ADJ
cana-5824	190	8	strengths	strength	NOUN
cana-5824	190	9	:	:	PUNCT
cana-5824	190	10	rf	rf	NUM
cana-5824	190	11	excelled	excel	VERB
cana-5824	190	12	in	in	ADP
cana-5824	190	13	generalization	generalization	NOUN
cana-5824	190	14	,	,	PUNCT
cana-5824	190	15	xgb	xgb	PROPN
cana-5824	190	16	ranked	rank	VERB
cana-5824	190	17	high	high	ADV
cana-5824	190	18	in	in	ADP
cana-5824	190	19	recall	recall	NOUN
cana-5824	190	20	,	,	PUNCT
cana-5824	190	21	and	and	CCONJ
cana-5824	190	22	gb	gb	PRON
cana-5824	190	23	was	be	AUX
cana-5824	190	24	adept	adept	ADJ
cana-5824	190	25	at	at	ADP
cana-5824	190	26	capturing	capture	VERB
cana-5824	190	27	complex	complex	ADJ
cana-5824	190	28	patterns	pattern	NOUN
cana-5824	190	29	.	.	PUNCT
cana-5824	191	1	ensemble	ensemble	ADJ
cana-5824	191	2	techniques	technique	NOUN
cana-5824	191	3	—	—	PUNCT
cana-5824	191	4	especially	especially	ADV
cana-5824	191	5	stacking	stacking	NOUN
cana-5824	191	6	—	—	PUNCT
cana-5824	191	7	capitalized	capitalize	VERB
cana-5824	191	8	on	on	ADP
cana-5824	191	9	these	these	DET
cana-5824	191	10	strengths	strength	NOUN
cana-5824	191	11	to	to	PART
cana-5824	191	12	achieve	achieve	VERB
cana-5824	191	13	better	well	ADJ
cana-5824	191	14	performance	performance	NOUN
cana-5824	191	15	.	.	PUNCT
cana-5824	192	1	stacking	stacking	NOUN
cana-5824	192	2	,	,	PUNCT
cana-5824	192	3	with	with	ADP
cana-5824	192	4	lr	lr	NOUN
cana-5824	192	5	as	as	ADP
cana-5824	192	6	the	the	DET
cana-5824	192	7	meta	meta	ADJ
cana-5824	192	8	learner	learner	NOUN
cana-5824	192	9	,	,	PUNCT
cana-5824	192	10	provided	provide	VERB
cana-5824	192	11	an	an	DET
cana-5824	192	12	outstanding	outstanding	ADJ
cana-5824	192	13	solution	solution	NOUN
cana-5824	192	14	for	for	ADP
cana-5824	192	15	handling	handle	VERB
cana-5824	192	16	imbalanced	imbalanced	ADJ
cana-5824	192	17	data	datum	NOUN
cana-5824	192	18	and	and	CCONJ
cana-5824	192	19	detecting	detect	VERB
cana-5824	192	20	electricity	electricity	NOUN
cana-5824	192	21	theft	theft	NOUN
cana-5824	192	22	cases	case	NOUN
cana-5824	192	23	by	by	ADP
cana-5824	192	24	effectively	effectively	ADV
cana-5824	192	25	combining	combine	VERB
cana-5824	192	26	the	the	DET
cana-5824	192	27	outputs	output	NOUN
cana-5824	192	28	of	of	ADP
cana-5824	192	29	diverse	diverse	ADJ
cana-5824	192	30	models	model	NOUN
cana-5824	192	31	.	.	PUNCT
cana-5824	193	1	alternative	alternative	ADJ
cana-5824	193	2	configurations	configuration	NOUN
cana-5824	193	3	demonstrated	demonstrate	VERB
cana-5824	193	4	potential	potential	ADJ
cana-5824	193	5	,	,	PUNCT
cana-5824	193	6	but	but	CCONJ
cana-5824	193	7	their	their	PRON
cana-5824	193	8	limitations	limitation	NOUN
cana-5824	193	9	in	in	ADP
cana-5824	193	10	addressing	address	VERB
cana-5824	193	11	class	class	NOUN
cana-5824	193	12	imbalance	imbalance	NOUN
cana-5824	193	13	indicated	indicate	VERB
cana-5824	193	14	stacking	stack	VERB
cana-5824	193	15	with	with	ADP
cana-5824	193	16	lr	lr	NOUN
cana-5824	193	17	as	as	SCONJ
cana-5824	193	18	the	the	DET
cana-5824	193	19	meta	meta	ADJ
cana-5824	193	20	-	-	PUNCT
cana-5824	193	21	learner	learner	NOUN
cana-5824	193	22	was	be	AUX
cana-5824	193	23	the	the	DET
cana-5824	193	24	most	most	ADV
cana-5824	193	25	effective	effective	ADJ
cana-5824	193	26	strategy	strategy	NOUN
cana-5824	193	27	.	.	PUNCT
cana-5824	194	1	this	this	DET
cana-5824	194	2	experimental	experimental	ADJ
cana-5824	194	3	configuration	configuration	NOUN
cana-5824	194	4	demonstrated	demonstrate	VERB
cana-5824	194	5	the	the	DET
cana-5824	194	6	ensemble	ensemble	ADJ
cana-5824	194	7	methodology	methodology	NOUN
cana-5824	194	8	’s	’s	PART
cana-5824	194	9	ability	ability	NOUN
cana-5824	194	10	to	to	PART
cana-5824	194	11	handle	handle	VERB
cana-5824	194	12	imbalanced	imbalanced	ADJ
cana-5824	194	13	data	datum	NOUN
cana-5824	194	14	,	,	PUNCT
cana-5824	194	15	detect	detect	VERB
cana-5824	194	16	challenging	challenging	ADJ
cana-5824	194	17	patterns	pattern	NOUN
cana-5824	194	18	,	,	PUNCT
cana-5824	194	19	and	and	CCONJ
cana-5824	194	20	combine	combine	VERB
cana-5824	194	21	outputs	output	NOUN
cana-5824	194	22	from	from	ADP
cana-5824	194	23	diverse	diverse	ADJ
cana-5824	194	24	models	model	NOUN
cana-5824	194	25	.	.	PUNCT
cana-5824	195	1	future	future	ADJ
cana-5824	195	2	enhancements	enhancement	NOUN
cana-5824	195	3	could	could	AUX
cana-5824	195	4	include	include	VERB
cana-5824	195	5	incorporating	incorporate	VERB
cana-5824	195	6	deep	deep	ADJ
cana-5824	195	7	learning	learning	NOUN
cana-5824	195	8	models	model	NOUN
cana-5824	195	9	as	as	ADP
cana-5824	195	10	base	base	NOUN
cana-5824	195	11	learners	learner	NOUN
cana-5824	195	12	and	and	CCONJ
cana-5824	195	13	integrating	integrate	VERB
cana-5824	195	14	domain	domain	NOUN
cana-5824	195	15	-	-	PUNCT
cana-5824	195	16	specific	specific	ADJ
cana-5824	195	17	features	feature	NOUN
cana-5824	195	18	to	to	PART
cana-5824	195	19	further	far	ADV
cana-5824	195	20	improve	improve	VERB
cana-5824	195	21	accuracy	accuracy	NOUN
cana-5824	195	22	and	and	CCONJ
cana-5824	195	23	stability	stability	NOUN
cana-5824	195	24	.	.	PUNCT
cana-5824	196	1	4.2.3	4.2.3	X
cana-5824	196	2	.	.	PUNCT
cana-5824	197	1	experimentation	experimentation	NOUN
cana-5824	197	2	with	with	ADP
cana-5824	197	3	multi	multi	ADJ
cana-5824	197	4	-	-	ADJ
cana-5824	197	5	view	view	ADJ
cana-5824	197	6	ensemble	ensemble	ADJ
cana-5824	197	7	learning	learning	NOUN
cana-5824	197	8	and	and	CCONJ
cana-5824	197	9	variance	variance	NOUN
cana-5824	197	10	-	-	PUNCT
cana-5824	197	11	based	base	VERB
cana-5824	197	12	dynamic	dynamic	ADJ
cana-5824	197	13	classifier	classifier	NOUN
cana-5824	197	14	selection	selection	NOUN
cana-5824	197	15	two	two	NUM
cana-5824	197	16	advanced	advanced	ADJ
cana-5824	197	17	methodologies	methodology	NOUN
cana-5824	197	18	,	,	PUNCT
cana-5824	197	19	multi	multi	ADJ
cana-5824	197	20	-	-	ADJ
cana-5824	197	21	view	view	ADJ
cana-5824	197	22	ensemble	ensemble	ADJ
cana-5824	197	23	learning	learning	NOUN
cana-5824	197	24	and	and	CCONJ
cana-5824	197	25	variance	variance	NOUN
cana-5824	197	26	-	-	PUNCT
cana-5824	197	27	based	base	VERB
cana-5824	197	28	dynamic	dynamic	ADJ
cana-5824	197	29	classifier	classifier	NOUN
cana-5824	197	30	selection	selection	NOUN
cana-5824	197	31	,	,	PUNCT
cana-5824	197	32	were	be	AUX
cana-5824	197	33	implemented	implement	VERB
cana-5824	197	34	and	and	CCONJ
cana-5824	197	35	analyzed	analyze	VERB
cana-5824	197	36	to	to	PART
cana-5824	197	37	enhance	enhance	VERB
cana-5824	197	38	electricity	electricity	NOUN
cana-5824	197	39	theft	theft	NOUN
cana-5824	197	40	detection	detection	NOUN
cana-5824	197	41	.	.	PUNCT
cana-5824	198	1	the	the	DET
cana-5824	198	2	multi	multi	ADJ
cana-5824	198	3	-	-	ADJ
cana-5824	198	4	view	view	ADJ
cana-5824	198	5	ensemble	ensemble	ADJ
cana-5824	198	6	learning	learning	NOUN
cana-5824	198	7	approach	approach	NOUN
cana-5824	198	8	involves	involve	VERB
cana-5824	198	9	segmenting	segment	VERB
cana-5824	198	10	the	the	DET
cana-5824	198	11	dataset	dataset	NOUN
cana-5824	198	12	into	into	ADP
cana-5824	198	13	distinct	distinct	ADJ
cana-5824	198	14	”	"	PUNCT
cana-5824	198	15	views	view	NOUN
cana-5824	198	16	”	"	PUNCT
cana-5824	198	17	that	that	PRON
cana-5824	198	18	reflect	reflect	VERB
cana-5824	198	19	daily	daily	ADV
cana-5824	198	20	,	,	PUNCT
cana-5824	198	21	weekly	weekly	ADJ
cana-5824	198	22	,	,	PUNCT
cana-5824	198	23	and	and	CCONJ
cana-5824	198	24	seasonal	seasonal	ADJ
cana-5824	198	25	electricity	electricity	NOUN
cana-5824	198	26	consumption	consumption	NOUN
cana-5824	198	27	patterns	pattern	NOUN
cana-5824	198	28	.	.	PUNCT
cana-5824	199	1	these	these	DET
cana-5824	199	2	views	view	NOUN
cana-5824	199	3	are	be	AUX
cana-5824	199	4	generated	generate	VERB
cana-5824	199	5	by	by	ADP
cana-5824	199	6	aggregating	aggregate	VERB
cana-5824	199	7	data	datum	NOUN
cana-5824	199	8	over	over	ADP
cana-5824	199	9	specific	specific	ADJ
cana-5824	199	10	temporal	temporal	ADJ
cana-5824	199	11	intervals	interval	NOUN
cana-5824	199	12	,	,	PUNCT
cana-5824	199	13	capturing	capture	VERB
cana-5824	199	14	unique	unique	ADJ
cana-5824	199	15	aspects	aspect	NOUN
cana-5824	199	16	of	of	ADP
cana-5824	199	17	user	user	NOUN
cana-5824	199	18	behavior	behavior	NOUN
cana-5824	199	19	.	.	PUNCT
cana-5824	200	1	separate	separate	ADJ
cana-5824	200	2	machine	machine	NOUN
cana-5824	200	3	learning	learning	NOUN
cana-5824	200	4	models	model	NOUN
cana-5824	200	5	,	,	PUNCT
cana-5824	200	6	including	include	VERB
cana-5824	200	7	xgboost	xgboost	PROPN
cana-5824	200	8	,	,	PUNCT
cana-5824	200	9	random	random	ADJ
cana-5824	200	10	forest	forest	NOUN
cana-5824	200	11	,	,	PUNCT
cana-5824	200	12	support	support	NOUN
cana-5824	200	13	vector	vector	NOUN
cana-5824	200	14	machine	machine	NOUN
cana-5824	200	15	(	(	PUNCT
cana-5824	200	16	svm	svm	PROPN
cana-5824	200	17	)	)	PUNCT
cana-5824	200	18	,	,	PUNCT
cana-5824	200	19	and	and	CCONJ
cana-5824	200	20	gradient	gradient	NOUN
cana-5824	200	21	boosting	boosting	NOUN
cana-5824	200	22	,	,	PUNCT
cana-5824	200	23	are	be	AUX
cana-5824	200	24	trained	train	VERB
cana-5824	200	25	on	on	ADP
cana-5824	200	26	these	these	DET
cana-5824	200	27	views	view	NOUN
cana-5824	200	28	,	,	PUNCT
cana-5824	200	29	emphasizing	emphasize	VERB
cana-5824	200	30	short	short	ADJ
cana-5824	200	31	-	-	PUNCT
cana-5824	200	32	term	term	NOUN
cana-5824	200	33	anomalies	anomaly	NOUN
cana-5824	200	34	and	and	CCONJ
cana-5824	200	35	long	long	ADJ
cana-5824	200	36	-	-	PUNCT
cana-5824	200	37	term	term	NOUN
cana-5824	200	38	trends	trend	NOUN
cana-5824	200	39	.	.	PUNCT
cana-5824	201	1	these	these	DET
cana-5824	201	2	models	model	NOUN
cana-5824	201	3	are	be	AUX
cana-5824	201	4	combined	combine	VERB
cana-5824	201	5	into	into	ADP
cana-5824	201	6	an	an	DET
cana-5824	201	7	ensemble	ensemble	ADJ
cana-5824	201	8	using	use	VERB
cana-5824	201	9	a	a	DET
cana-5824	201	10	votingclassifier	votingclassifier	NOUN
cana-5824	201	11	with	with	ADP
cana-5824	201	12	soft	soft	ADJ
cana-5824	201	13	voting	voting	NOUN
cana-5824	201	14	,	,	PUNCT
cana-5824	201	15	leveraging	leverage	VERB
cana-5824	201	16	their	their	PRON
cana-5824	201	17	collective	collective	ADJ
cana-5824	201	18	strengths	strength	NOUN
cana-5824	201	19	.	.	PUNCT
cana-5824	202	1	the	the	DET
cana-5824	202	2	approach	approach	NOUN
cana-5824	202	3	also	also	ADV
cana-5824	202	4	employs	employ	VERB
cana-5824	202	5	robust	robust	ADJ
cana-5824	202	6	preprocessing	preprocessing	NOUN
cana-5824	202	7	steps	step	NOUN
cana-5824	202	8	,	,	PUNCT
cana-5824	202	9	including	include	VERB
cana-5824	202	10	filling	fill	VERB
cana-5824	202	11	missing	miss	VERB
cana-5824	202	12	values	value	NOUN
cana-5824	202	13	using	use	VERB
cana-5824	202	14	the	the	DET
cana-5824	202	15	median	median	ADJ
cana-5824	202	16	,	,	PUNCT
cana-5824	202	17	standardization	standardization	NOUN
cana-5824	202	18	via	via	ADP
cana-5824	202	19	standardscaler	standardscaler	NOUN
cana-5824	202	20	,	,	PUNCT
cana-5824	202	21	and	and	CCONJ
cana-5824	202	22	handling	handle	VERB
cana-5824	202	23	class	class	NOUN
cana-5824	202	24	imbalance	imbalance	NOUN
cana-5824	202	25	with	with	ADP
cana-5824	202	26	adasyn	adasyn	PROPN
cana-5824	202	27	and	and	CCONJ
cana-5824	202	28	tomek	tomek	PROPN
cana-5824	202	29	links	link	NOUN
cana-5824	202	30	.	.	PUNCT
cana-5824	203	1	the	the	DET
cana-5824	203	2	variance	variance	NOUN
cana-5824	203	3	-	-	PUNCT
cana-5824	203	4	based	base	VERB
cana-5824	203	5	dynamic	dynamic	ADJ
cana-5824	203	6	classifier	classifier	NOUN
cana-5824	203	7	selection	selection	NOUN
cana-5824	203	8	approach	approach	NOUN
cana-5824	203	9	employs	employ	VERB
cana-5824	203	10	a	a	DET
cana-5824	203	11	dynamic	dynamic	ADJ
cana-5824	203	12	strategy	strategy	NOUN
cana-5824	203	13	to	to	PART
cana-5824	203	14	select	select	VERB
cana-5824	203	15	the	the	DET
cana-5824	203	16	most	most	ADV
cana-5824	203	17	suitable	suitable	ADJ
cana-5824	203	18	classifier	classifier	NOUN
cana-5824	203	19	for	for	ADP
cana-5824	203	20	each	each	DET
cana-5824	203	21	test	test	NOUN
cana-5824	203	22	sample	sample	NOUN
cana-5824	203	23	based	base	VERB
cana-5824	203	24	on	on	ADP
cana-5824	203	25	its	its	PRON
cana-5824	203	26	variance	variance	NOUN
cana-5824	203	27	.	.	PUNCT
cana-5824	204	1	the	the	DET
cana-5824	204	2	feature	feature	NOUN
cana-5824	204	3	space	space	NOUN
cana-5824	204	4	is	be	AUX
cana-5824	204	5	divided	divide	VERB
cana-5824	204	6	into	into	ADP
cana-5824	204	7	low	low	ADJ
cana-5824	204	8	,	,	PUNCT
cana-5824	204	9	medium	medium	ADJ
cana-5824	204	10	,	,	PUNCT
cana-5824	204	11	and	and	CCONJ
cana-5824	204	12	high	high	ADJ
cana-5824	204	13	variance	variance	NOUN
cana-5824	204	14	regions	region	NOUN
cana-5824	204	15	,	,	PUNCT
cana-5824	204	16	with	with	ADP
cana-5824	204	17	balanced	balanced	ADJ
cana-5824	204	18	random	random	ADJ
cana-5824	204	19	forest	forest	NOUN
cana-5824	204	20	,	,	PUNCT
cana-5824	204	21	k	k	X
cana-5824	204	22	-	-	PUNCT
cana-5824	204	23	nearest	near	ADJ
cana-5824	204	24	neighbors	neighbor	NOUN
cana-5824	204	25	(	(	PUNCT
cana-5824	204	26	k	k	X
cana-5824	204	27	-	-	PUNCT
cana-5824	204	28	nn	nn	NOUN
cana-5824	204	29	)	)	PUNCT
cana-5824	204	30	,	,	PUNCT
cana-5824	204	31	and	and	CCONJ
cana-5824	204	32	isolation	isolation	NOUN
cana-5824	204	33	forest	forest	NOUN
cana-5824	204	34	selected	select	VERB
cana-5824	204	35	,	,	PUNCT
cana-5824	204	36	respectively	respectively	ADV
cana-5824	204	37	,	,	PUNCT
cana-5824	204	38	for	for	ADP
cana-5824	204	39	these	these	DET
cana-5824	204	40	regions	region	NOUN
cana-5824	204	41	.	.	PUNCT
cana-5824	205	1	this	this	DET
cana-5824	205	2	strategy	strategy	NOUN
cana-5824	205	3	ensures	ensure	VERB
cana-5824	205	4	optimal	optimal	ADJ
cana-5824	205	5	handling	handling	NOUN
cana-5824	205	6	of	of	ADP
cana-5824	205	7	varying	vary	VERB
cana-5824	205	8	levels	level	NOUN
cana-5824	205	9	of	of	ADP
cana-5824	205	10	data	datum	NOUN
cana-5824	205	11	variability	variability	NOUN
cana-5824	205	12	,	,	PUNCT
cana-5824	205	13	enabling	enable	VERB
cana-5824	205	14	the	the	DET
cana-5824	205	15	model	model	NOUN
cana-5824	205	16	to	to	PART
cana-5824	205	17	adapt	adapt	VERB
cana-5824	205	18	to	to	ADP
cana-5824	205	19	complex	complex	ADJ
cana-5824	205	20	patterns	pattern	NOUN
cana-5824	205	21	and	and	CCONJ
cana-5824	205	22	outliers	outlier	NOUN
cana-5824	205	23	.	.	PUNCT
cana-5824	206	1	the	the	DET
cana-5824	206	2	preprocessing	preprocessing	NOUN
cana-5824	206	3	pipeline	pipeline	NOUN
cana-5824	206	4	includes	include	VERB
cana-5824	206	5	handling	handle	VERB
cana-5824	206	6	missing	miss	VERB
cana-5824	206	7	values	value	NOUN
cana-5824	206	8	with	with	ADP
cana-5824	206	9	forward	forward	ADV
cana-5824	206	10	and	and	CCONJ
cana-5824	206	11	backward	backward	ADJ
cana-5824	206	12	fill	fill	NOUN
cana-5824	206	13	methods	method	NOUN
cana-5824	206	14	,	,	PUNCT
cana-5824	206	15	standardizing	standardize	VERB
cana-5824	206	16	features	feature	NOUN
cana-5824	206	17	using	use	VERB
cana-5824	206	18	standardscaler	standardscaler	NOUN
cana-5824	206	19	,	,	PUNCT
cana-5824	206	20	and	and	CCONJ
cana-5824	206	21	addressing	address	VERB
cana-5824	206	22	class	class	NOUN
cana-5824	206	23	imbalance	imbalance	NOUN
cana-5824	206	24	with	with	ADP
cana-5824	206	25	adasyn	adasyn	PROPN
cana-5824	206	26	.	.	PUNCT
cana-5824	207	1	these	these	DET
cana-5824	207	2	experiments	experiment	NOUN
cana-5824	207	3	demonstrate	demonstrate	VERB
cana-5824	207	4	the	the	DET
cana-5824	207	5	potential	potential	NOUN
cana-5824	207	6	of	of	ADP
cana-5824	207	7	advanced	advanced	ADJ
cana-5824	207	8	ensemble	ensemble	ADJ
cana-5824	207	9	methods	method	NOUN
cana-5824	207	10	and	and	CCONJ
cana-5824	207	11	dynamic	dynamic	ADJ
cana-5824	207	12	classifier	classifier	NOUN
cana-5824	207	13	selection	selection	NOUN
cana-5824	207	14	to	to	ADP
cana-5824	207	15	communications	communication	NOUN
cana-5824	207	16	on	on	ADP
cana-5824	207	17	applied	apply	VERB
cana-5824	207	18	nonlinear	nonlinear	ADJ
cana-5824	207	19	analysis	analysis	NOUN
cana-5824	207	20	issn	issn	NOUN
cana-5824	207	21	:	:	PUNCT
cana-5824	207	22	1074	1074	NUM
cana-5824	207	23	-	-	PUNCT
cana-5824	207	24	133x	133x	NUM
cana-5824	207	25	vol	vol	VERB
cana-5824	207	26	32	32	NUM
cana-5824	207	27	no	no	NOUN
cana-5824	207	28	.	.	PUNCT
cana-5824	208	1	10s	10	NOUN
cana-5824	208	2	(	(	PUNCT
cana-5824	208	3	2025	2025	NUM
cana-5824	208	4	)	)	PUNCT
cana-5824	208	5	2870	2870	NUM
cana-5824	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	208	7	enhance	enhance	VERB
cana-5824	208	8	the	the	DET
cana-5824	208	9	detection	detection	NOUN
cana-5824	208	10	of	of	ADP
cana-5824	208	11	electricity	electricity	NOUN
cana-5824	208	12	theft	theft	NOUN
cana-5824	208	13	.	.	PUNCT
cana-5824	209	1	by	by	ADP
cana-5824	209	2	addressing	address	VERB
cana-5824	209	3	diverse	diverse	ADJ
cana-5824	209	4	temporal	temporal	ADJ
cana-5824	209	5	patterns	pattern	NOUN
cana-5824	209	6	and	and	CCONJ
cana-5824	209	7	varying	vary	VERB
cana-5824	209	8	data	datum	NOUN
cana-5824	209	9	variability	variability	NOUN
cana-5824	209	10	,	,	PUNCT
cana-5824	209	11	both	both	DET
cana-5824	209	12	methodologies	methodology	NOUN
cana-5824	209	13	significantly	significantly	ADV
cana-5824	209	14	improve	improve	VERB
cana-5824	209	15	detection	detection	NOUN
cana-5824	209	16	accuracy	accuracy	NOUN
cana-5824	209	17	and	and	CCONJ
cana-5824	209	18	reliability	reliability	NOUN
cana-5824	209	19	.	.	PUNCT
cana-5824	210	1	5	5	X
cana-5824	210	2	.	.	NOUN
cana-5824	210	3	results	result	NOUN
cana-5824	210	4	and	and	CCONJ
cana-5824	210	5	discussion	discussion	NOUN
cana-5824	210	6	this	this	DET
cana-5824	210	7	section	section	NOUN
cana-5824	210	8	aims	aim	VERB
cana-5824	210	9	at	at	ADP
cana-5824	210	10	different	different	ADJ
cana-5824	210	11	methods	method	NOUN
cana-5824	210	12	and	and	CCONJ
cana-5824	210	13	approaches	approach	NOUN
cana-5824	210	14	used	use	VERB
cana-5824	210	15	in	in	ADP
cana-5824	210	16	identifying	identify	VERB
cana-5824	210	17	electricity	electricity	NOUN
cana-5824	210	18	theft	theft	NOUN
cana-5824	210	19	as	as	ADV
cana-5824	210	20	well	well	ADV
cana-5824	210	21	as	as	ADP
cana-5824	210	22	different	different	ADJ
cana-5824	210	23	configurations	configuration	NOUN
cana-5824	210	24	.	.	PUNCT
cana-5824	211	1	we	we	PRON
cana-5824	211	2	proposed	propose	VERB
cana-5824	211	3	three	three	NUM
cana-5824	211	4	strategies	strategy	NOUN
cana-5824	211	5	,	,	PUNCT
cana-5824	211	6	namely	namely	ADV
cana-5824	211	7	multi	multi	ADJ
cana-5824	211	8	view	view	NOUN
cana-5824	211	9	learning	learning	NOUN
cana-5824	211	10	,	,	PUNCT
cana-5824	211	11	dynamic	dynamic	ADJ
cana-5824	211	12	classifier	classifier	NOUN
cana-5824	211	13	selection	selection	NOUN
cana-5824	211	14	and	and	CCONJ
cana-5824	211	15	stacking	stacking	NOUN
cana-5824	211	16	;	;	PUNCT
cana-5824	211	17	and	and	CCONJ
cana-5824	211	18	evaluated	evaluate	VERB
cana-5824	211	19	them	they	PRON
cana-5824	211	20	.	.	PUNCT
cana-5824	212	1	the	the	DET
cana-5824	212	2	outcomes	outcome	NOUN
cana-5824	212	3	of	of	ADP
cana-5824	212	4	these	these	DET
cana-5824	212	5	experiments	experiment	NOUN
cana-5824	212	6	and	and	CCONJ
cana-5824	212	7	analysis	analysis	NOUN
cana-5824	212	8	are	be	AUX
cana-5824	212	9	provided	provide	VERB
cana-5824	212	10	in	in	ADP
cana-5824	212	11	the	the	DET
cana-5824	212	12	table	table	NOUN
cana-5824	212	13	2	2	NUM
cana-5824	212	14	below	below	ADV
cana-5824	212	15	,	,	PUNCT
cana-5824	212	16	where	where	SCONJ
cana-5824	212	17	the	the	DET
cana-5824	212	18	discussion	discussion	NOUN
cana-5824	212	19	of	of	ADP
cana-5824	212	20	these	these	DET
cana-5824	212	21	findings	finding	NOUN
cana-5824	212	22	follows	follow	VERB
cana-5824	212	23	next	next	ADV
cana-5824	212	24	.	.	PUNCT
cana-5824	213	1	average	average	ADJ
cana-5824	213	2	measures	measure	NOUN
cana-5824	213	3	on	on	ADP
cana-5824	213	4	different	different	ADJ
cana-5824	213	5	sorts	sort	NOUN
cana-5824	213	6	of	of	ADP
cana-5824	213	7	electricity	electricity	NOUN
cana-5824	213	8	theft	theft	NOUN
cana-5824	213	9	detection	detection	NOUN
cana-5824	213	10	models	model	NOUN
cana-5824	213	11	,	,	PUNCT
cana-5824	213	12	such	such	ADJ
cana-5824	213	13	as	as	ADP
cana-5824	213	14	multiview	multiview	PROPN
cana-5824	213	15	ensembles	ensemble	NOUN
cana-5824	213	16	,	,	PUNCT
cana-5824	213	17	dynamic	dynamic	ADJ
cana-5824	213	18	classifiers	classifier	NOUN
cana-5824	213	19	,	,	PUNCT
cana-5824	213	20	and	and	CCONJ
cana-5824	213	21	stacking	stack	VERB
cana-5824	213	22	configurations	configuration	NOUN
cana-5824	213	23	,	,	PUNCT
cana-5824	213	24	are	be	AUX
cana-5824	213	25	presented	present	VERB
cana-5824	213	26	in	in	ADP
cana-5824	213	27	table	table	NOUN
cana-5824	213	28	2	2	NUM
cana-5824	213	29	.	.	PUNCT
cana-5824	214	1	these	these	PRON
cana-5824	214	2	are	be	AUX
cana-5824	214	3	tpr	tpr	NOUN
cana-5824	214	4	(	(	PUNCT
cana-5824	214	5	recall	recall	NOUN
cana-5824	214	6	)	)	PUNCT
cana-5824	214	7	,	,	PUNCT
cana-5824	214	8	fpr	fpr	PROPN
cana-5824	214	9	,	,	PUNCT
cana-5824	214	10	tnr	tnr	PROPN
cana-5824	214	11	(	(	PUNCT
cana-5824	214	12	specificity	specificity	NOUN
cana-5824	214	13	)	)	PUNCT
cana-5824	214	14	,	,	PUNCT
cana-5824	214	15	fnr	fnr	PROPN
cana-5824	214	16	,	,	PUNCT
cana-5824	214	17	accuracy	accuracy	NOUN
cana-5824	214	18	and	and	CCONJ
cana-5824	214	19	roc	roc	PROPN
cana-5824	214	20	auc	auc	NOUN
cana-5824	214	21	curves	curve	NOUN
cana-5824	214	22	which	which	PRON
cana-5824	214	23	will	will	AUX
cana-5824	214	24	give	give	VERB
cana-5824	214	25	a	a	DET
cana-5824	214	26	clear	clear	ADJ
cana-5824	214	27	indication	indication	NOUN
cana-5824	214	28	of	of	ADP
cana-5824	214	29	the	the	DET
cana-5824	214	30	weaknesses	weakness	NOUN
cana-5824	214	31	and	and	CCONJ
cana-5824	214	32	strengths	strength	NOUN
cana-5824	214	33	of	of	ADP
cana-5824	214	34	the	the	DET
cana-5824	214	35	different	different	ADJ
cana-5824	214	36	models	model	NOUN
cana-5824	214	37	.	.	PUNCT
cana-5824	215	1	in	in	ADP
cana-5824	215	2	the	the	DET
cana-5824	215	3	multiview	multiview	PROPN
cana-5824	215	4	ensemble	ensemble	ADJ
cana-5824	215	5	approach	approach	NOUN
cana-5824	215	6	we	we	PRON
cana-5824	215	7	divide	divide	VERB
cana-5824	215	8	the	the	DET
cana-5824	215	9	dataset	dataset	NOUN
cana-5824	215	10	into	into	ADP
cana-5824	215	11	three	three	NUM
cana-5824	215	12	distinct	distinct	ADJ
cana-5824	215	13	views	view	NOUN
cana-5824	215	14	:	:	PUNCT
cana-5824	215	15	and	and	CCONJ
cana-5824	215	16	divide	divide	VERB
cana-5824	215	17	daily	daily	ADV
cana-5824	215	18	,	,	PUNCT
cana-5824	215	19	weekly	weekly	ADJ
cana-5824	215	20	,	,	PUNCT
cana-5824	215	21	and	and	CCONJ
cana-5824	215	22	seasonal	seasonal	ADJ
cana-5824	215	23	consumption	consumption	NOUN
cana-5824	215	24	.	.	PUNCT
cana-5824	216	1	there	there	PRON
cana-5824	216	2	are	be	VERB
cana-5824	216	3	two	two	NUM
cana-5824	216	4	views	view	NOUN
cana-5824	216	5	each	each	PRON
cana-5824	216	6	of	of	ADP
cana-5824	216	7	which	which	PRON
cana-5824	216	8	is	be	AUX
cana-5824	216	9	passed	pass	VERB
cana-5824	216	10	through	through	ADP
cana-5824	216	11	a	a	DET
cana-5824	216	12	different	different	ADJ
cana-5824	216	13	model	model	NOUN
cana-5824	216	14	and	and	CCONJ
cana-5824	216	15	the	the	DET
cana-5824	216	16	final	final	ADJ
cana-5824	216	17	prediction	prediction	NOUN
cana-5824	216	18	is	be	AUX
cana-5824	216	19	made	make	VERB
cana-5824	216	20	using	use	VERB
cana-5824	216	21	soft	soft	ADJ
cana-5824	216	22	voting	voting	NOUN
cana-5824	216	23	of	of	ADP
cana-5824	216	24	the	the	DET
cana-5824	216	25	two	two	NUM
cana-5824	216	26	models	model	NOUN
cana-5824	216	27	.	.	PUNCT
cana-5824	217	1	in	in	ADP
cana-5824	217	2	this	this	PRON
cana-5824	217	3	we	we	PRON
cana-5824	217	4	have	have	AUX
cana-5824	217	5	tested	test	VERB
cana-5824	217	6	two	two	NUM
cana-5824	217	7	configurations	configuration	NOUN
cana-5824	217	8	:	:	PUNCT
cana-5824	217	9	the	the	DET
cana-5824	217	10	first	first	ADJ
cana-5824	217	11	set	set	NOUN
cana-5824	217	12	of	of	ADP
cana-5824	217	13	models	model	NOUN
cana-5824	217	14	which	which	PRON
cana-5824	217	15	included	include	VERB
cana-5824	217	16	:	:	PUNCT
cana-5824	217	17	logistic	logistic	ADJ
cana-5824	217	18	regression	regression	NOUN
cana-5824	217	19	,	,	PUNCT
cana-5824	217	20	rf	rf	NOUN
cana-5824	217	21	,	,	PUNCT
cana-5824	217	22	support	support	VERB
cana-5824	217	23	vector	vector	NOUN
cana-5824	217	24	machine(svm	machine(svm	PROPN
cana-5824	217	25	)	)	PUNCT
cana-5824	217	26	,	,	PUNCT
cana-5824	217	27	and	and	CCONJ
cana-5824	217	28	gb	gb	PRON
cana-5824	217	29	had	have	VERB
cana-5824	217	30	an	an	DET
cana-5824	217	31	accuracy	accuracy	NOUN
cana-5824	217	32	of	of	ADP
cana-5824	217	33	86.82	86.82	NUM
cana-5824	217	34	%	%	NOUN
cana-5824	217	35	;	;	PUNCT
cana-5824	217	36	sensitivity	sensitivity	NOUN
cana-5824	217	37	of	of	ADP
cana-5824	217	38	86.15	86.15	NUM
cana-5824	217	39	%	%	NOUN
cana-5824	217	40	;	;	PUNCT
cana-5824	217	41	and	and	CCONJ
cana-5824	217	42	roc	roc	PROPN
cana-5824	217	43	auc	auc	NOUN
cana-5824	217	44	of	of	ADP
cana-5824	217	45	0.94	0.94	NUM
cana-5824	217	46	.	.	PUNCT
cana-5824	217	47	second	second	ADJ
cana-5824	217	48	configuration	configuration	NOUN
cana-5824	217	49	,	,	PUNCT
cana-5824	217	50	which	which	PRON
cana-5824	217	51	had	have	VERB
cana-5824	217	52	xgb	xgb	NUM
cana-5824	217	53	,	,	PUNCT
cana-5824	217	54	achieved	achieve	VERB
cana-5824	217	55	a	a	DET
cana-5824	217	56	higher	high	ADJ
cana-5824	217	57	accuracy	accuracy	NOUN
cana-5824	217	58	of	of	ADP
cana-5824	217	59	93.16	93.16	NUM
cana-5824	217	60	%	%	NOUN
cana-5824	217	61	,	,	PUNCT
cana-5824	217	62	tpr	tpr	PROPN
cana-5824	217	63	of	of	ADP
cana-5824	217	64	95.75	95.75	NUM
cana-5824	217	65	%	%	NOUN
cana-5824	217	66	,	,	PUNCT
cana-5824	217	67	and	and	CCONJ
cana-5824	217	68	auc	auc	NOUN
cana-5824	217	69	of	of	ADP
cana-5824	217	70	0.97	0.97	NUM
cana-5824	217	71	but	but	CCONJ
cana-5824	217	72	had	have	VERB
cana-5824	217	73	a	a	DET
cana-5824	217	74	higher	high	ADJ
cana-5824	217	75	fpr	fpr	NOUN
cana-5824	217	76	of	of	ADP
cana-5824	217	77	9.23	9.23	NUM
cana-5824	217	78	%	%	NOUN
cana-5824	217	79	the	the	DET
cana-5824	217	80	concluding	concluding	NOUN
cana-5824	217	81	model	model	NOUN
cana-5824	217	82	that	that	PRON
cana-5824	217	83	used	use	VERB
cana-5824	217	84	xgb	xgb	PROPN
cana-5824	217	85	,	,	PUNCT
cana-5824	217	86	rf	rf	NOUN
cana-5824	217	87	,	,	PUNCT
cana-5824	217	88	svm	svm	ADJ
cana-5824	217	89	,	,	PUNCT
cana-5824	217	90	and	and	CCONJ
cana-5824	217	91	gb	gb	NOUN
cana-5824	217	92	as	as	ADP
cana-5824	217	93	base	base	NOUN
cana-5824	217	94	learners	learner	NOUN
cana-5824	217	95	with	with	ADP
cana-5824	217	96	lr	lr	NOUN
cana-5824	217	97	as	as	ADP
cana-5824	217	98	the	the	DET
cana-5824	217	99	final	final	ADJ
cana-5824	217	100	learner	learner	NOUN
cana-5824	217	101	computed	compute	VERB
cana-5824	217	102	better	well	ADJ
cana-5824	217	103	recall	recall	NOUN
cana-5824	217	104	and	and	CCONJ
cana-5824	217	105	had	have	VERB
cana-5824	217	106	higher	high	ADJ
cana-5824	217	107	specificity	specificity	NOUN
cana-5824	217	108	,	,	PUNCT
cana-5824	217	109	and	and	CCONJ
cana-5824	217	110	an	an	DET
cana-5824	217	111	excellent	excellent	ADJ
cana-5824	217	112	f1	f1	NOUN
cana-5824	217	113	score	score	NOUN
cana-5824	217	114	at	at	ADP
cana-5824	217	115	0.8929	0.8929	NUM
cana-5824	217	116	.	.	PUNCT
cana-5824	218	1	whilst	whilst	SCONJ
cana-5824	218	2	being	be	AUX
cana-5824	218	3	much	much	ADV
cana-5824	218	4	improved	improve	VERB
cana-5824	218	5	over	over	ADP
cana-5824	218	6	previous	previous	ADJ
cana-5824	218	7	methods	method	NOUN
cana-5824	218	8	,	,	PUNCT
cana-5824	218	9	there	there	PRON
cana-5824	218	10	is	be	VERB
cana-5824	218	11	still	still	ADV
cana-5824	218	12	room	room	NOUN
cana-5824	218	13	for	for	ADP
cana-5824	218	14	improving	improve	VERB
cana-5824	218	15	both	both	PRON
cana-5824	218	16	in	in	ADP
cana-5824	218	17	eliminating	eliminate	VERB
cana-5824	218	18	false	false	ADJ
cana-5824	218	19	positives	positive	NOUN
cana-5824	218	20	and	and	CCONJ
cana-5824	218	21	in	in	ADP
cana-5824	218	22	increasing	increase	VERB
cana-5824	218	23	the	the	DET
cana-5824	218	24	computational	computational	ADJ
cana-5824	218	25	speed	speed	NOUN
cana-5824	218	26	for	for	ADP
cana-5824	218	27	real	real	ADJ
cana-5824	218	28	world	world	NOUN
cana-5824	218	29	applications	application	NOUN
cana-5824	218	30	.	.	PUNCT
cana-5824	219	1	model	model	PROPN
cana-5824	219	2	tpr	tpr	PROPN
cana-5824	219	3	fpr	fpr	PROPN
cana-5824	219	4	tnr	tnr	PROPN
cana-5824	219	5	fnr	fnr	PROPN
cana-5824	219	6	accura	accura	PROPN
cana-5824	219	7	cy	cy	PROPN
cana-5824	219	8	auc	auc	NOUN
cana-5824	219	9	ensemble	ensemble	ADJ
cana-5824	219	10	(	(	PUNCT
cana-5824	219	11	lr	lr	NOUN
cana-5824	219	12	,	,	PUNCT
cana-5824	219	13	rf	rf	ADJ
cana-5824	219	14	,	,	PUNCT
cana-5824	219	15	svm	svm	ADJ
cana-5824	219	16	,	,	PUNCT
cana-5824	219	17	gb	gb	NOUN
cana-5824	219	18	)	)	PUNCT
cana-5824	219	19	–	–	PUNCT
cana-5824	219	20	soft	soft	ADJ
cana-5824	219	21	voting	voting	NOUN
cana-5824	219	22	0.8615	0.8615	NUM
cana-5824	219	23	0.141	0.141	NUM
cana-5824	219	24	0.879	0.879	NUM
cana-5824	219	25	0.1385	0.1385	NUM
cana-5824	219	26	0.8682	0.8682	NUM
cana-5824	219	27	0.94	0.94	NUM
cana-5824	219	28	ensemble	ensemble	ADJ
cana-5824	219	29	(	(	PUNCT
cana-5824	219	30	xgb	xgb	ADJ
cana-5824	219	31	,	,	PUNCT
cana-5824	219	32	rf	rf	NOUN
cana-5824	219	33	,	,	PUNCT
cana-5824	219	34	svm	svm	ADJ
cana-5824	219	35	,	,	PUNCT
cana-5824	219	36	gb	gb	NOUN
cana-5824	219	37	)	)	PUNCT
cana-5824	219	38	–	–	PUNCT
cana-5824	219	39	soft	soft	ADJ
cana-5824	219	40	voting	voting	NOUN
cana-5824	219	41	0.9575	0.9575	NUM
cana-5824	219	42	0.0923	0.0923	NUM
cana-5824	219	43	0.9077	0.9077	NUM
cana-5824	219	44	0.0425	0.0425	NUM
cana-5824	219	45	0.9316	0.9316	NUM
cana-5824	219	46	0.97	0.97	NUM
cana-5824	219	47	dynamic	dynamic	ADJ
cana-5824	219	48	classifier	classifier	NOUN
cana-5824	219	49	(	(	PUNCT
cana-5824	219	50	rf	rf	ADJ
cana-5824	219	51	,	,	PUNCT
cana-5824	219	52	boosting	boosting	NOUN
cana-5824	219	53	,	,	PUNCT
cana-5824	219	54	svm	svm	ADJ
cana-5824	219	55	,	,	PUNCT
cana-5824	219	56	if	if	SCONJ
cana-5824	219	57	)	)	PUNCT
cana-5824	219	58	0.8755	0.8755	NUM
cana-5824	219	59	0.086	0.086	NUM
cana-5824	219	60	0.914	0.914	NUM
cana-5824	219	61	0.1245	0.1245	NUM
cana-5824	219	62	0.89	0.89	NUM
cana-5824	219	63	0.9092	0.9092	NUM
cana-5824	219	64	dynamic	dynamic	ADJ
cana-5824	219	65	classifier	classifier	NOUN
cana-5824	219	66	(	(	PUNCT
cana-5824	219	67	rf	rf	PROPN
cana-5824	219	68	,	,	PUNCT
cana-5824	219	69	knn	knn	PROPN
cana-5824	219	70	,	,	PUNCT
cana-5824	219	71	svm	svm	PROPN
cana-5824	219	72	,	,	PUNCT
cana-5824	219	73	if	if	SCONJ
cana-5824	219	74	)	)	PUNCT
cana-5824	219	75	0.877	0.877	NUM
cana-5824	219	76	0.0857	0.0857	NUM
cana-5824	219	77	0.913	0.913	NUM
cana-5824	219	78	0.1217	0.1217	NUM
cana-5824	219	79	0.9	0.9	NUM
cana-5824	219	80	0.9	0.9	NUM
cana-5824	219	81	stacking	stacking	NOUN
cana-5824	219	82	(	(	PUNCT
cana-5824	219	83	rf	rf	ADJ
cana-5824	219	84	,	,	PUNCT
cana-5824	219	85	gb	gb	PRON
cana-5824	219	86	,	,	PUNCT
cana-5824	219	87	brf	brf	PROPN
cana-5824	219	88	)	)	PUNCT
cana-5824	220	1	+	+	CCONJ
cana-5824	220	2	xgboost	xgboost	X
cana-5824	220	3	meta	meta	PROPN
cana-5824	220	4	learner	learner	NOUN
cana-5824	220	5	0.933	0.933	NUM
cana-5824	220	6	0.0592	0.0592	NUM
cana-5824	220	7	0.9408	0.9408	NUM
cana-5824	220	8	0.0667	0.0667	NUM
cana-5824	220	9	0.937	0.937	NUM
cana-5824	220	10	0.9791	0.9791	NUM
cana-5824	220	11	stacking	stacking	NOUN
cana-5824	220	12	(	(	PUNCT
cana-5824	220	13	rf	rf	ADJ
cana-5824	220	14	,	,	PUNCT
cana-5824	220	15	gb	gb	PRON
cana-5824	220	16	,	,	PUNCT
cana-5824	220	17	brf	brf	PROPN
cana-5824	220	18	)	)	PUNCT
cana-5824	220	19	+	+	CCONJ
cana-5824	220	20	lr	lr	X
cana-5824	220	21	meta	meta	ADJ
cana-5824	220	22	-	-	PUNCT
cana-5824	220	23	learner	learner	NOUN
cana-5824	220	24	0.9452	0.9452	NUM
cana-5824	220	25	0.0586	0.0586	NUM
cana-5824	220	26	0.9414	0.9414	NUM
cana-5824	220	27	0.0548	0.0548	NUM
cana-5824	220	28	0.9433	0.9433	NUM
cana-5824	220	29	0.9841	0.9841	NUM
cana-5824	220	30	stacking	stacking	NOUN
cana-5824	220	31	(	(	PUNCT
cana-5824	220	32	rf	rf	ADJ
cana-5824	220	33	,	,	PUNCT
cana-5824	220	34	gb	gb	PRON
cana-5824	220	35	,	,	PUNCT
cana-5824	220	36	xgb	xgb	NUM
cana-5824	220	37	)	)	PUNCT
cana-5824	221	1	+	+	CCONJ
cana-5824	221	2	lr	lr	NOUN
cana-5824	221	3	metalearner	metalearner	NOUN
cana-5824	221	4	0.9486	0.9486	NUM
cana-5824	221	5	0.0569	0.0569	NUM
cana-5824	221	6	0.9431	0.9431	NUM
cana-5824	221	7	0.0514	0.0514	NUM
cana-5824	221	8	0.947	0.947	NUM
cana-5824	221	9	0.9867	0.9867	NUM
cana-5824	221	10	table	table	NOUN
cana-5824	221	11	2	2	NUM
cana-5824	221	12	:	:	PUNCT
cana-5824	221	13	classification	classification	NOUN
cana-5824	221	14	metrics	metric	NOUN
cana-5824	221	15	for	for	ADP
cana-5824	221	16	electricity	electricity	NOUN
cana-5824	221	17	theft	theft	NOUN
cana-5824	221	18	detection	detection	NOUN
cana-5824	221	19	models	model	VERB
cana-5824	221	20	dynamic	dynamic	ADJ
cana-5824	221	21	classifiers	classifier	NOUN
cana-5824	221	22	go	go	VERB
cana-5824	221	23	further	far	ADV
cana-5824	221	24	with	with	ADP
cana-5824	221	25	the	the	DET
cana-5824	221	26	detection	detection	NOUN
cana-5824	221	27	system	system	NOUN
cana-5824	221	28	by	by	ADP
cana-5824	221	29	choosing	choose	VERB
cana-5824	221	30	appropriate	appropriate	ADJ
cana-5824	221	31	models	model	NOUN
cana-5824	221	32	for	for	ADP
cana-5824	221	33	the	the	DET
cana-5824	221	34	specific	specific	ADJ
cana-5824	221	35	regions	region	NOUN
cana-5824	221	36	of	of	ADP
cana-5824	221	37	feature	feature	NOUN
cana-5824	221	38	space	space	NOUN
cana-5824	221	39	according	accord	VERB
cana-5824	221	40	to	to	ADP
cana-5824	221	41	their	their	PRON
cana-5824	221	42	variance	variance	NOUN
cana-5824	221	43	limits	limit	NOUN
cana-5824	221	44	.	.	PUNCT
cana-5824	222	1	the	the	DET
cana-5824	222	2	classification	classification	NOUN
cana-5824	222	3	of	of	ADP
cana-5824	222	4	samples	sample	NOUN
cana-5824	222	5	is	be	AUX
cana-5824	222	6	given	give	VERB
cana-5824	222	7	as	as	SCONJ
cana-5824	222	8	follows	follow	VERB
cana-5824	222	9	:	:	PUNCT
cana-5824	223	1	low	low	ADJ
cana-5824	223	2	variance	variance	NOUN
cana-5824	223	3	sample	sample	NOUN
cana-5824	223	4	(	(	PUNCT
cana-5824	223	5	variance	variance	NOUN
cana-5824	223	6	<	<	X
cana-5824	223	7	0.5	0.5	NUM
cana-5824	223	8	)	)	PUNCT
cana-5824	223	9	utilization	utilization	NOUN
cana-5824	223	10	brf	brf	NOUN
cana-5824	223	11	,	,	PUNCT
cana-5824	223	12	medium	medium	ADJ
cana-5824	223	13	variance	variance	NOUN
cana-5824	223	14	samples	sample	NOUN
cana-5824	223	15	(	(	PUNCT
cana-5824	223	16	0.5	0.5	NUM
cana-5824	223	17	<	<	NOUN
cana-5824	223	18	=	=	NOUN
cana-5824	223	19	variance	variance	NOUN
cana-5824	223	20	<	<	X
cana-5824	223	21	1.5	1.5	NUM
cana-5824	223	22	)	)	PUNCT
cana-5824	223	23	utilized	utilize	VERB
cana-5824	223	24	knearest	knearest	NOUN
cana-5824	223	25	neighbors	neighbor	NOUN
cana-5824	224	1	[	[	X
cana-5824	224	2	k	k	X
cana-5824	224	3	-	-	PUNCT
cana-5824	224	4	nn	nn	NOUN
cana-5824	224	5	]	]	PUNCT
cana-5824	224	6	and	and	CCONJ
cana-5824	224	7	samples	sample	NOUN
cana-5824	224	8	having	have	VERB
cana-5824	224	9	high	high	ADJ
cana-5824	224	10	variance	variance	NOUN
cana-5824	224	11	(	(	PUNCT
cana-5824	224	12	variance	variance	NOUN
cana-5824	224	13	>	>	X
cana-5824	224	14	=	=	SYM
cana-5824	224	15	1.5	1.5	NUM
cana-5824	224	16	)	)	PUNCT
cana-5824	224	17	employed	employ	VERB
cana-5824	224	18	isolation	isolation	NOUN
cana-5824	224	19	forest	forest	NOUN
cana-5824	224	20	.	.	PUNCT
cana-5824	225	1	an	an	DET
cana-5824	225	2	integration	integration	NOUN
cana-5824	225	3	of	of	ADP
cana-5824	225	4	rf	rf	NOUN
cana-5824	225	5	,	,	PUNCT
cana-5824	225	6	boosting	boost	VERB
cana-5824	225	7	,	,	PUNCT
cana-5824	225	8	svm	svm	ADJ
cana-5824	225	9	,	,	PUNCT
cana-5824	225	10	and	and	CCONJ
cana-5824	225	11	the	the	DET
cana-5824	225	12	isolation	isolation	NOUN
cana-5824	225	13	forest	forest	NOUN
cana-5824	225	14	reported	report	VERB
cana-5824	225	15	an	an	DET
cana-5824	225	16	accuracy	accuracy	NOUN
cana-5824	225	17	of	of	ADP
cana-5824	225	18	89.00	89.00	NUM
cana-5824	225	19	%	%	NOUN
cana-5824	225	20	with	with	ADP
cana-5824	225	21	a	a	DET
cana-5824	225	22	tpr	tpr	NOUN
cana-5824	225	23	of	of	ADP
cana-5824	225	24	87.55	87.55	NUM
cana-5824	225	25	%	%	NOUN
cana-5824	225	26	and	and	CCONJ
cana-5824	225	27	roc	roc	NOUN
cana-5824	225	28	-	-	PUNCT
cana-5824	225	29	auc	auc	NOUN
cana-5824	225	30	of	of	ADP
cana-5824	225	31	0.9092	0.9092	NUM
cana-5824	225	32	.	.	PUNCT
cana-5824	226	1	changing	change	VERB
cana-5824	226	2	boosting	boost	VERB
cana-5824	226	3	to	to	ADP
cana-5824	226	4	k	k	X
cana-5824	226	5	-	-	PUNCT
cana-5824	226	6	nn	nn	PROPN
cana-5824	226	7	improved	improve	VERB
cana-5824	226	8	the	the	DET
cana-5824	226	9	accuracy	accuracy	NOUN
cana-5824	226	10	marginally	marginally	ADV
cana-5824	226	11	to	to	ADP
cana-5824	226	12	a	a	DET
cana-5824	226	13	90,00	90,00	NUM
cana-5824	226	14	percent	percent	NOUN
cana-5824	226	15	communications	communication	NOUN
cana-5824	226	16	on	on	ADP
cana-5824	226	17	applied	apply	VERB
cana-5824	226	18	nonlinear	nonlinear	ADJ
cana-5824	226	19	analysis	analysis	NOUN
cana-5824	226	20	issn	issn	NOUN
cana-5824	226	21	:	:	PUNCT
cana-5824	226	22	1074	1074	NUM
cana-5824	226	23	-	-	PUNCT
cana-5824	226	24	133x	133x	NUM
cana-5824	226	25	vol	vol	VERB
cana-5824	226	26	32	32	NUM
cana-5824	226	27	no	no	NOUN
cana-5824	226	28	.	.	PUNCT
cana-5824	227	1	10s	10	NOUN
cana-5824	227	2	(	(	PUNCT
cana-5824	227	3	2025	2025	NUM
cana-5824	227	4	)	)	PUNCT
cana-5824	227	5	2871	2871	NUM
cana-5824	227	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	228	1	while	while	SCONJ
cana-5824	228	2	the	the	DET
cana-5824	228	3	roc	roc	PROPN
cana-5824	228	4	auc	auc	NOUN
cana-5824	228	5	stayed	stay	VERB
cana-5824	228	6	at	at	ADP
cana-5824	228	7	0.90	0.90	NUM
cana-5824	228	8	.	.	PUNCT
cana-5824	229	1	although	although	SCONJ
cana-5824	229	2	this	this	DET
cana-5824	229	3	approach	approach	NOUN
cana-5824	229	4	proves	prove	VERB
cana-5824	229	5	flexibility	flexibility	NOUN
cana-5824	229	6	,	,	PUNCT
cana-5824	229	7	the	the	DET
cana-5824	229	8	model	model	NOUN
cana-5824	229	9	still	still	ADV
cana-5824	229	10	requires	require	VERB
cana-5824	229	11	higher	high	ADJ
cana-5824	229	12	sensitivity	sensitivity	NOUN
cana-5824	229	13	to	to	ADP
cana-5824	229	14	minority	minority	NOUN
cana-5824	229	15	classes	class	NOUN
cana-5824	229	16	considering	consider	VERB
cana-5824	229	17	its	its	PRON
cana-5824	229	18	moderate	moderate	ADJ
cana-5824	229	19	impact	impact	NOUN
cana-5824	229	20	on	on	ADP
cana-5824	229	21	addressing	address	VERB
cana-5824	229	22	class	class	NOUN
cana-5824	229	23	imbalance	imbalance	NOUN
cana-5824	229	24	.	.	PUNCT
cana-5824	230	1	stacking	stack	VERB
cana-5824	230	2	models	model	NOUN
cana-5824	230	3	use	use	VERB
cana-5824	230	4	rf	rf	NOUN
cana-5824	230	5	,	,	PUNCT
cana-5824	230	6	gb	gb	PRON
cana-5824	230	7	and	and	CCONJ
cana-5824	230	8	xgb	xgb	PROPN
cana-5824	230	9	as	as	ADP
cana-5824	230	10	base	base	NOUN
cana-5824	230	11	models	model	NOUN
cana-5824	230	12	and	and	CCONJ
cana-5824	230	13	either	either	CCONJ
cana-5824	230	14	xgb	xgb	NOUN
cana-5824	230	15	or	or	CCONJ
cana-5824	230	16	lr	lr	INTJ
cana-5824	230	17	as	as	ADP
cana-5824	230	18	a	a	DET
cana-5824	230	19	meta	meta	ADJ
cana-5824	230	20	learner	learner	NOUN
cana-5824	230	21	.	.	PUNCT
cana-5824	231	1	our	our	PRON
cana-5824	231	2	proposed	propose	VERB
cana-5824	231	3	system	system	NOUN
cana-5824	231	4	when	when	SCONJ
cana-5824	231	5	the	the	DET
cana-5824	231	6	meta	meta	ADJ
cana-5824	231	7	-	-	PUNCT
cana-5824	231	8	learner	learner	NOUN
cana-5824	231	9	is	be	AUX
cana-5824	231	10	the	the	DET
cana-5824	231	11	xgboost	xgboost	X
cana-5824	231	12	classifier	classifier	PROPN
cana-5824	231	13	attains	attain	NOUN
cana-5824	231	14	accuracy	accuracy	NOUN
cana-5824	231	15	of	of	ADP
cana-5824	231	16	93.70	93.70	NUM
cana-5824	231	17	%	%	NOUN
cana-5824	231	18	,	,	PUNCT
cana-5824	231	19	tpr	tpr	NOUN
cana-5824	231	20	of	of	ADP
cana-5824	231	21	93.33	93.33	NUM
cana-5824	231	22	%	%	NOUN
cana-5824	231	23	,	,	PUNCT
cana-5824	231	24	and	and	CCONJ
cana-5824	231	25	0.9791	0.9791	NUM
cana-5824	231	26	the	the	DET
cana-5824	231	27	roc	roc	PROPN
cana-5824	231	28	auc	auc	NOUN
cana-5824	231	29	.	.	PUNCT
cana-5824	232	1	with	with	ADP
cana-5824	232	2	lr	lr	PROPN
cana-5824	232	3	as	as	ADP
cana-5824	232	4	the	the	DET
cana-5824	232	5	meta	meta	ADJ
cana-5824	232	6	-	-	PUNCT
cana-5824	232	7	learner	learner	NOUN
cana-5824	232	8	,	,	PUNCT
cana-5824	232	9	the	the	DET
cana-5824	232	10	performance	performance	NOUN
cana-5824	232	11	increased	increase	VERB
cana-5824	232	12	up	up	ADV
cana-5824	232	13	to	to	ADP
cana-5824	232	14	94.33	94.33	NUM
cana-5824	232	15	%	%	NOUN
cana-5824	232	16	as	as	ADP
cana-5824	232	17	accuracy	accuracy	NOUN
cana-5824	232	18	,	,	PUNCT
cana-5824	232	19	94.52	94.52	NUM
cana-5824	232	20	%	%	NOUN
cana-5824	232	21	as	as	ADP
cana-5824	232	22	tpr	tpr	NOUN
cana-5824	232	23	,	,	PUNCT
cana-5824	232	24	and	and	CCONJ
cana-5824	232	25	0.9841	0.9841	NUM
cana-5824	232	26	as	as	ADP
cana-5824	232	27	roc	roc	PROPN
cana-5824	232	28	auc	auc	NOUN
cana-5824	232	29	,	,	PUNCT
cana-5824	232	30	and	and	CCONJ
cana-5824	232	31	decreased	decrease	VERB
cana-5824	232	32	fpr	fpr	PRON
cana-5824	232	33	up	up	ADP
cana-5824	232	34	to	to	ADP
cana-5824	232	35	5.%	5.%	NUM
cana-5824	232	36	.	.	PUNCT
cana-5824	233	1	the	the	DET
cana-5824	233	2	highest	high	ADJ
cana-5824	233	3	accuracy	accuracy	NOUN
cana-5824	233	4	,	,	PUNCT
cana-5824	233	5	tpr	tpr	PROPN
cana-5824	233	6	and	and	CCONJ
cana-5824	233	7	roc	roc	PROPN
cana-5824	233	8	auc	auc	NOUN
cana-5824	233	9	were	be	AUX
cana-5824	233	10	recorded	record	VERB
cana-5824	233	11	by	by	ADP
cana-5824	233	12	the	the	DET
cana-5824	233	13	stacking	stacking	NOUN
cana-5824	233	14	(	(	PUNCT
cana-5824	233	15	rf	rf	ADJ
cana-5824	233	16	,	,	PUNCT
cana-5824	233	17	gb	gb	PRON
cana-5824	233	18	,	,	PUNCT
cana-5824	233	19	xgb	xgb	NUM
cana-5824	233	20	)	)	PUNCT
cana-5824	234	1	+	+	CCONJ
cana-5824	234	2	lr	lr	NOUN
cana-5824	234	3	model	model	NOUN
cana-5824	234	4	at	at	ADP
cana-5824	234	5	94.59	94.59	NUM
cana-5824	234	6	%	%	NOUN
cana-5824	234	7	,	,	PUNCT
cana-5824	234	8	94.86	94.86	NUM
cana-5824	234	9	%	%	NOUN
cana-5824	234	10	,	,	PUNCT
cana-5824	234	11	and	and	CCONJ
cana-5824	234	12	0.9867	0.9867	NUM
cana-5824	234	13	respectively	respectively	ADV
cana-5824	234	14	with	with	ADP
cana-5824	234	15	the	the	DET
cana-5824	234	16	lowest	low	ADJ
cana-5824	234	17	fpr	fpr	NOUN
cana-5824	234	18	of	of	ADP
cana-5824	234	19	5.69%.this	5.69%.this	NUM
cana-5824	234	20	configuration	configuration	NOUN
cana-5824	234	21	exploits	exploit	VERB
cana-5824	234	22	the	the	DET
cana-5824	234	23	fact	fact	NOUN
cana-5824	234	24	that	that	SCONJ
cana-5824	234	25	xgb	xgb	PROPN
cana-5824	234	26	can	can	AUX
cana-5824	234	27	learn	learn	VERB
cana-5824	234	28	relatively	relatively	ADV
cana-5824	234	29	complex	complex	ADJ
cana-5824	234	30	decision	decision	NOUN
cana-5824	234	31	boundaries	boundary	NOUN
cana-5824	234	32	while	while	SCONJ
cana-5824	234	33	being	be	AUX
cana-5824	234	34	somewhat	somewhat	ADV
cana-5824	234	35	insensitive	insensitive	ADJ
cana-5824	234	36	to	to	ADP
cana-5824	234	37	them	they	PRON
cana-5824	234	38	but	but	CCONJ
cana-5824	234	39	lr	lr	NOUN
cana-5824	234	40	is	be	AUX
cana-5824	234	41	insensitive	insensitive	ADJ
cana-5824	234	42	in	in	ADP
cana-5824	234	43	general	general	ADJ
cana-5824	234	44	but	but	CCONJ
cana-5824	234	45	its	its	PRON
cana-5824	234	46	decision	decision	NOUN
cana-5824	234	47	boundaries	boundary	NOUN
cana-5824	234	48	are	be	AUX
cana-5824	234	49	relatively	relatively	ADV
cana-5824	234	50	simple	simple	ADJ
cana-5824	234	51	.	.	PUNCT
cana-5824	235	1	in	in	ADP
cana-5824	235	2	general	general	ADJ
cana-5824	235	3	,	,	PUNCT
cana-5824	235	4	the	the	DET
cana-5824	235	5	proposed	propose	VERB
cana-5824	235	6	stacking	stacking	NOUN
cana-5824	235	7	(	(	PUNCT
cana-5824	235	8	rf	rf	ADJ
cana-5824	235	9	,	,	PUNCT
cana-5824	235	10	gb	gb	PRON
cana-5824	235	11	,	,	PUNCT
cana-5824	235	12	xgb	xgb	NUM
cana-5824	235	13	)	)	PUNCT
cana-5824	236	1	+	+	X
cana-5824	236	2	lrmodel	lrmodel	NOUN
cana-5824	236	3	had	have	VERB
cana-5824	236	4	the	the	DET
cana-5824	236	5	highest	high	ADJ
cana-5824	236	6	accuracy	accuracy	NOUN
cana-5824	236	7	,	,	PUNCT
cana-5824	236	8	strong	strong	ADJ
cana-5824	236	9	discriminative	discriminative	NOUN
cana-5824	236	10	capability	capability	NOUN
cana-5824	236	11	,	,	PUNCT
cana-5824	236	12	and	and	CCONJ
cana-5824	236	13	few	few	ADJ
cana-5824	236	14	false	false	ADJ
cana-5824	236	15	positives	positive	NOUN
cana-5824	236	16	.	.	PUNCT
cana-5824	237	1	by	by	ADP
cana-5824	237	2	addressing	address	VERB
cana-5824	237	3	both	both	DET
cana-5824	237	4	efficiency	efficiency	NOUN
cana-5824	237	5	and	and	CCONJ
cana-5824	237	6	reliability	reliability	NOUN
cana-5824	237	7	,	,	PUNCT
cana-5824	237	8	its	its	PRON
cana-5824	237	9	application	application	NOUN
cana-5824	237	10	in	in	ADP
cana-5824	237	11	electricity	electricity	NOUN
cana-5824	237	12	theft	theft	NOUN
cana-5824	237	13	detection	detection	NOUN
cana-5824	237	14	systems	system	NOUN
cana-5824	237	15	is	be	AUX
cana-5824	237	16	well	well	ADV
cana-5824	237	17	recommended	recommend	VERB
cana-5824	237	18	for	for	ADP
cana-5824	237	19	real	real	ADJ
cana-5824	237	20	world	world	NOUN
cana-5824	237	21	use	use	NOUN
cana-5824	237	22	.	.	PUNCT
cana-5824	238	1	in	in	ADP
cana-5824	238	2	order	order	NOUN
cana-5824	238	3	to	to	PART
cana-5824	238	4	test	test	VERB
cana-5824	238	5	the	the	DET
cana-5824	238	6	applicability	applicability	NOUN
cana-5824	238	7	of	of	ADP
cana-5824	238	8	our	our	PRON
cana-5824	238	9	proposed	propose	VERB
cana-5824	238	10	model	model	NOUN
cana-5824	238	11	,	,	PUNCT
cana-5824	238	12	we	we	PRON
cana-5824	238	13	compared	compare	VERB
cana-5824	238	14	the	the	DET
cana-5824	238	15	results	result	NOUN
cana-5824	238	16	obtained	obtain	VERB
cana-5824	238	17	with	with	ADP
cana-5824	238	18	state	state	NOUN
cana-5824	238	19	of	of	ADP
cana-5824	238	20	the	the	DET
cana-5824	238	21	art	art	NOUN
cana-5824	238	22	technique	technique	NOUN
cana-5824	238	23	as	as	SCONJ
cana-5824	238	24	listed	list	VERB
cana-5824	238	25	in	in	ADP
cana-5824	238	26	the	the	DET
cana-5824	238	27	following	follow	VERB
cana-5824	238	28	table	table	NOUN
cana-5824	238	29	3	3	NUM
cana-5824	238	30	.	.	PUNCT
cana-5824	238	31	model	model	PROPN
cana-5824	238	32	tpr	tpr	PROPN
cana-5824	238	33	fpr	fpr	PROPN
cana-5824	238	34	tnr	tnr	PROPN
cana-5824	238	35	fnr	fnr	PROPN
cana-5824	238	36	accuracy	accuracy	NOUN
cana-5824	238	37	auc	auc	NOUN
cana-5824	238	38	bilstmlogitboost	bilstmlogitboost	VERB
cana-5824	238	39	0.9241	0.9241	NUM
cana-5824	238	40	0.0368	0.0368	NUM
cana-5824	239	1	0.9632	0.9632	NUM
cana-5824	239	2	0.0759	0.0759	NUM
cana-5824	239	3	0.8945	0.8945	NUM
cana-5824	239	4	stacking	stacking	NOUN
cana-5824	239	5	(	(	PUNCT
cana-5824	239	6	rf	rf	ADJ
cana-5824	239	7	,	,	PUNCT
cana-5824	239	8	gb	gb	PRON
cana-5824	239	9	,	,	PUNCT
cana-5824	239	10	xgb	xgb	NUM
cana-5824	239	11	)	)	PUNCT
cana-5824	240	1	+	+	CCONJ
cana-5824	240	2	lr	lr	X
cana-5824	240	3	metalearner	metalearner	NOUN
cana-5824	240	4	(	(	PUNCT
cana-5824	240	5	proposed	propose	VERB
cana-5824	240	6	)	)	PUNCT
cana-5824	240	7	0.9486	0.9486	NUM
cana-5824	240	8	0.0569	0.0569	NUM
cana-5824	240	9	0.9431	0.9431	NUM
cana-5824	240	10	0.0514	0.0514	NUM
cana-5824	240	11	0.947	0.947	NUM
cana-5824	240	12	0.9867	0.9867	NUM
cana-5824	240	13	table	table	NOUN
cana-5824	240	14	3	3	NUM
cana-5824	240	15	:	:	PUNCT
cana-5824	240	16	comparison	comparison	NOUN
cana-5824	240	17	of	of	ADP
cana-5824	240	18	the	the	DET
cana-5824	240	19	proposed	propose	VERB
cana-5824	240	20	method	method	NOUN
cana-5824	240	21	with	with	ADP
cana-5824	240	22	the	the	DET
cana-5824	240	23	state	state	NOUN
cana-5824	240	24	of	of	ADP
cana-5824	240	25	the	the	DET
cana-5824	240	26	art	art	NOUN
cana-5824	240	27	of	of	ADP
cana-5824	240	28	the	the	DET
cana-5824	240	29	model	model	NOUN
cana-5824	240	30	the	the	DET
cana-5824	240	31	comparative	comparative	ADJ
cana-5824	240	32	outcome	outcome	NOUN
cana-5824	240	33	of	of	ADP
cana-5824	240	34	the	the	DET
cana-5824	240	35	stacking	stacking	NOUN
cana-5824	240	36	model	model	NOUN
cana-5824	240	37	proposed	propose	VERB
cana-5824	240	38	in	in	ADP
cana-5824	240	39	this	this	DET
cana-5824	240	40	study	study	NOUN
cana-5824	240	41	has	have	AUX
cana-5824	240	42	been	be	AUX
cana-5824	240	43	shown	show	VERB
cana-5824	240	44	in	in	ADP
cana-5824	240	45	table	table	NOUN
cana-5824	240	46	3	3	NUM
cana-5824	240	47	against	against	ADP
cana-5824	240	48	benchmark	benchmark	NOUN
cana-5824	240	49	model	model	NOUN
cana-5824	240	50	bilstm	bilstm	NOUN
cana-5824	240	51	-	-	PUNCT
cana-5824	240	52	logitboost	logitboost	NOUN
cana-5824	240	53	model	model	NOUN
cana-5824	240	54	.	.	PUNCT
cana-5824	241	1	the	the	DET
cana-5824	241	2	following	follow	VERB
cana-5824	241	3	table	table	NOUN
cana-5824	241	4	3	3	NUM
cana-5824	241	5	shows	show	VERB
cana-5824	241	6	the	the	DET
cana-5824	241	7	compromise	compromise	NOUN
cana-5824	241	8	between	between	ADP
cana-5824	241	9	recall	recall	NOUN
cana-5824	241	10	,	,	PUNCT
cana-5824	241	11	specificity	specificity	NOUN
cana-5824	241	12	or	or	CCONJ
cana-5824	241	13	identification	identification	NOUN
cana-5824	241	14	of	of	ADP
cana-5824	241	15	true	true	ADJ
cana-5824	241	16	positives	positive	NOUN
cana-5824	241	17	and	and	CCONJ
cana-5824	241	18	true	true	ADJ
cana-5824	241	19	negative	negative	ADJ
cana-5824	241	20	or	or	CCONJ
cana-5824	241	21	overall	overall	ADJ
cana-5824	241	22	accuracy	accuracy	NOUN
cana-5824	241	23	.	.	PUNCT
cana-5824	242	1	from	from	ADP
cana-5824	242	2	table	table	NOUN
cana-5824	242	3	3	3	NUM
cana-5824	242	4	it	it	PRON
cana-5824	242	5	is	be	AUX
cana-5824	242	6	observed	observe	VERB
cana-5824	242	7	that	that	SCONJ
cana-5824	242	8	we	we	PRON
cana-5824	242	9	have	have	VERB
cana-5824	242	10	acheived	acheive	VERB
cana-5824	242	11	lower	low	ADJ
cana-5824	242	12	false	false	ADJ
cana-5824	242	13	negative	negative	ADJ
cana-5824	242	14	rate	rate	NOUN
cana-5824	242	15	as	as	SCONJ
cana-5824	242	16	compared	compare	VERB
cana-5824	242	17	to	to	ADP
cana-5824	242	18	the	the	DET
cana-5824	242	19	bilstm	bilstm	NOUN
cana-5824	242	20	-	-	PUNCT
cana-5824	242	21	logitboost	logitboost	NOUN
cana-5824	242	22	method	method	NOUN
cana-5824	242	23	.	.	PUNCT
cana-5824	243	1	accuracy	accuracy	NOUN
cana-5824	243	2	of	of	ADP
cana-5824	243	3	the	the	DET
cana-5824	243	4	propsed	propsed	ADJ
cana-5824	243	5	work	work	NOUN
cana-5824	243	6	is	be	AUX
cana-5824	243	7	higher	high	ADJ
cana-5824	243	8	with	with	ADP
cana-5824	243	9	the	the	DET
cana-5824	243	10	state	state	NOUN
cana-5824	243	11	of	of	ADP
cana-5824	243	12	the	the	DET
cana-5824	243	13	art	art	NOUN
cana-5824	243	14	method	method	NOUN
cana-5824	243	15	.	.	PUNCT
cana-5824	244	1	we	we	PRON
cana-5824	244	2	focused	focus	VERB
cana-5824	244	3	on	on	ADP
cana-5824	244	4	comparing	compare	VERB
cana-5824	244	5	the	the	DET
cana-5824	244	6	stacking	stack	VERB
cana-5824	244	7	model	model	NOUN
cana-5824	244	8	against	against	ADP
cana-5824	244	9	two	two	NUM
cana-5824	244	10	benchmark	benchmark	NOUN
cana-5824	244	11	models	model	NOUN
cana-5824	244	12	:	:	PUNCT
cana-5824	244	13	optimized	optimize	VERB
cana-5824	244	14	xgb	xgb	NOUN
cana-5824	244	15	-	-	PUNCT
cana-5824	244	16	pso	pso	NOUN
cana-5824	245	1	[	[	NOUN
cana-5824	245	2	11	11	NUM
cana-5824	245	3	]	]	PUNCT
cana-5824	245	4	and	and	CCONJ
cana-5824	245	5	bilstm	bilstm	NOUN
cana-5824	245	6	-	-	PUNCT
cana-5824	245	7	logitboost	logitboost	NOUN
cana-5824	245	8	[	[	X
cana-5824	245	9	12].the	12].the	DET
cana-5824	245	10	evaluation	evaluation	NOUN
cana-5824	245	11	standard	standard	NOUN
cana-5824	245	12	were	be	AUX
cana-5824	245	13	tpr	tpr	PROPN
cana-5824	245	14	,	,	PUNCT
cana-5824	245	15	fpr	fpr	PROPN
cana-5824	245	16	,	,	PUNCT
cana-5824	245	17	tnr	tnr	PROPN
cana-5824	245	18	fnr	fnr	PROPN
cana-5824	245	19	,	,	PUNCT
cana-5824	245	20	accuracy	accuracy	NOUN
cana-5824	245	21	,	,	PUNCT
cana-5824	245	22	and	and	CCONJ
cana-5824	245	23	roc	roc	PROPN
cana-5824	245	24	auc	auc	NOUN
cana-5824	245	25	.	.	PUNCT
cana-5824	246	1	we	we	PRON
cana-5824	246	2	observe	observe	VERB
cana-5824	246	3	that	that	SCONJ
cana-5824	246	4	our	our	PRON
cana-5824	246	5	stacking	stacking	NOUN
cana-5824	246	6	model	model	NOUN
cana-5824	246	7	produced	produce	VERB
cana-5824	246	8	a	a	DET
cana-5824	246	9	comparatively	comparatively	ADV
cana-5824	246	10	lower	low	ADJ
cana-5824	246	11	fpr	fpr	NOUN
cana-5824	246	12	(	(	PUNCT
cana-5824	246	13	5.69	5.69	NUM
cana-5824	246	14	%	%	NOUN
cana-5824	246	15	)	)	PUNCT
cana-5824	246	16	as	as	SCONJ
cana-5824	246	17	opposed	oppose	VERB
cana-5824	246	18	to	to	ADP
cana-5824	246	19	the	the	DET
cana-5824	246	20	optimized	optimize	VERB
cana-5824	246	21	xgb	xgb	PROPN
cana-5824	246	22	-	-	PUNCT
cana-5824	246	23	pso	pso	NOUN
cana-5824	246	24	’s	’s	NOUN
cana-5824	246	25	(	(	PUNCT
cana-5824	246	26	8.58	8.58	NUM
cana-5824	246	27	%	%	NOUN
cana-5824	246	28	)	)	PUNCT
cana-5824	246	29	and	and	CCONJ
cana-5824	246	30	a	a	DET
cana-5824	246	31	high	high	ADJ
cana-5824	246	32	accuracy	accuracy	NOUN
cana-5824	246	33	rate	rate	NOUN
cana-5824	246	34	of	of	ADP
cana-5824	246	35	94.59	94.59	NUM
cana-5824	246	36	%	%	NOUN
cana-5824	246	37	and	and	CCONJ
cana-5824	246	38	tpr	tpr	NOUN
cana-5824	246	39	of	of	ADP
cana-5824	246	40	94.86	94.86	NUM
cana-5824	246	41	%	%	NOUN
cana-5824	246	42	.	.	PUNCT
cana-5824	247	1	while	while	SCONJ
cana-5824	247	2	the	the	DET
cana-5824	247	3	optimized	optimize	VERB
cana-5824	247	4	xgb	xgb	ADJ
cana-5824	247	5	-	-	PUNCT
cana-5824	247	6	pso	pso	NOUN
cana-5824	247	7	model	model	NOUN
cana-5824	247	8	detected	detect	VERB
cana-5824	247	9	more	more	ADJ
cana-5824	247	10	instances	instance	NOUN
cana-5824	247	11	with	with	ADP
cana-5824	247	12	96	96	NUM
cana-5824	247	13	%	%	NOUN
cana-5824	247	14	recall	recall	NOUN
cana-5824	247	15	and	and	CCONJ
cana-5824	247	16	96	96	NUM
cana-5824	247	17	%	%	NOUN
cana-5824	247	18	accuracy	accuracy	NOUN
cana-5824	247	19	,	,	PUNCT
cana-5824	247	20	their	their	PRON
cana-5824	247	21	lag	lag	NOUN
cana-5824	247	22	in	in	ADP
cana-5824	247	23	fpr	fpr	NOUN
cana-5824	247	24	is	be	AUX
cana-5824	247	25	higher	high	ADJ
cana-5824	247	26	and	and	CCONJ
cana-5824	247	27	will	will	AUX
cana-5824	247	28	produce	produce	VERB
cana-5824	247	29	more	more	ADJ
cana-5824	247	30	false	false	ADJ
cana-5824	247	31	alarms	alarm	NOUN
cana-5824	247	32	.	.	PUNCT
cana-5824	248	1	our	our	PRON
cana-5824	248	2	improved	improved	ADJ
cana-5824	248	3	stacked	stack	VERB
cana-5824	248	4	model	model	NOUN
cana-5824	248	5	achieved	achieve	VERB
cana-5824	248	6	a	a	DET
cana-5824	248	7	lower	low	ADJ
cana-5824	248	8	fpr	fpr	NOUN
cana-5824	248	9	of	of	ADP
cana-5824	248	10	3.68	3.68	NUM
cana-5824	248	11	%	%	NOUN
cana-5824	248	12	high	high	ADJ
cana-5824	248	13	tnr	tnr	NOUN
cana-5824	248	14	of	of	ADP
cana-5824	248	15	96.32	96.32	NUM
cana-5824	248	16	%	%	NOUN
cana-5824	248	17	compared	compare	VERB
cana-5824	248	18	to	to	ADP
cana-5824	248	19	bilstm	bilstm	NOUN
cana-5824	248	20	logitboost	logitboost	NOUN
cana-5824	248	21	but	but	CCONJ
cana-5824	248	22	it	it	PRON
cana-5824	248	23	was	be	AUX
cana-5824	248	24	less	less	ADV
cana-5824	248	25	accurate	accurate	ADJ
cana-5824	248	26	with	with	ADP
cana-5824	248	27	89.45	89.45	NUM
cana-5824	248	28	%	%	NOUN
cana-5824	248	29	and	and	CCONJ
cana-5824	248	30	a	a	DET
cana-5824	248	31	tpr	tpr	NOUN
cana-5824	248	32	of	of	ADP
cana-5824	248	33	92.41	92.41	NUM
cana-5824	248	34	%	%	NOUN
cana-5824	248	35	.	.	PUNCT
cana-5824	249	1	as	as	ADP
cana-5824	249	2	for	for	ADP
cana-5824	249	3	the	the	DET
cana-5824	249	4	stacking	stacking	NOUN
cana-5824	249	5	configuration	configuration	NOUN
cana-5824	249	6	,	,	PUNCT
cana-5824	249	7	these	these	DET
cana-5824	249	8	results	result	NOUN
cana-5824	249	9	prove	prove	VERB
cana-5824	249	10	that	that	SCONJ
cana-5824	249	11	our	our	PRON
cana-5824	249	12	proposed	propose	VERB
cana-5824	249	13	setup	setup	NOUN
cana-5824	249	14	provides	provide	VERB
cana-5824	249	15	the	the	DET
cana-5824	249	16	best	good	ADJ
cana-5824	249	17	balance	balance	NOUN
cana-5824	249	18	of	of	ADP
cana-5824	249	19	recall	recall	NOUN
cana-5824	249	20	,	,	PUNCT
cana-5824	249	21	specificity	specificity	NOUN
cana-5824	249	22	,	,	PUNCT
cana-5824	249	23	and	and	CCONJ
cana-5824	249	24	obvious	obvious	ADJ
cana-5824	249	25	accuracy	accuracy	NOUN
cana-5824	249	26	to	to	PART
cana-5824	249	27	be	be	AUX
cana-5824	249	28	used	use	VERB
cana-5824	249	29	in	in	ADP
cana-5824	249	30	real	real	ADJ
cana-5824	249	31	-	-	PUNCT
cana-5824	249	32	world	world	NOUN
cana-5824	249	33	electricity	electricity	NOUN
cana-5824	249	34	theft	theft	NOUN
cana-5824	249	35	detection	detection	NOUN
cana-5824	249	36	systems	system	NOUN
cana-5824	249	37	.	.	PUNCT
cana-5824	250	1	future	future	ADJ
cana-5824	250	2	work	work	NOUN
cana-5824	250	3	can	can	AUX
cana-5824	250	4	emerge	emerge	VERB
cana-5824	250	5	in	in	ADP
cana-5824	250	6	refining	refine	VERB
cana-5824	250	7	the	the	DET
cana-5824	250	8	model	model	NOUN
cana-5824	250	9	even	even	ADV
cana-5824	250	10	further	far	ADV
cana-5824	250	11	and	and	CCONJ
cana-5824	250	12	performing	perform	VERB
cana-5824	250	13	real	real	ADJ
cana-5824	250	14	time	time	NOUN
cana-5824	250	15	studies	study	NOUN
cana-5824	250	16	in	in	ADP
cana-5824	250	17	very	very	ADV
cana-5824	250	18	large	large	ADJ
cana-5824	250	19	organisations	organisation	NOUN
cana-5824	250	20	.	.	PUNCT
cana-5824	251	1	6	6	X
cana-5824	251	2	.	.	X
cana-5824	251	3	conclusion	conclusion	NOUN
cana-5824	251	4	in	in	ADP
cana-5824	251	5	this	this	DET
cana-5824	251	6	paper	paper	NOUN
cana-5824	251	7	,	,	PUNCT
cana-5824	251	8	we	we	PRON
cana-5824	251	9	discussed	discuss	VERB
cana-5824	251	10	and	and	CCONJ
cana-5824	251	11	compared	compare	VERB
cana-5824	251	12	numerous	numerous	ADJ
cana-5824	251	13	techniques	technique	NOUN
cana-5824	251	14	of	of	ADP
cana-5824	251	15	estimating	estimate	VERB
cana-5824	251	16	electricity	electricity	NOUN
cana-5824	251	17	theft	theft	NOUN
cana-5824	251	18	such	such	ADJ
cana-5824	251	19	as	as	ADP
cana-5824	251	20	multiview	multiview	PROPN
cana-5824	251	21	ensemble	ensemble	ADJ
cana-5824	251	22	models	model	NOUN
cana-5824	251	23	,	,	PUNCT
cana-5824	251	24	dynamic	dynamic	ADJ
cana-5824	251	25	classifier	classifier	NOUN
cana-5824	251	26	selection	selection	NOUN
cana-5824	251	27	and	and	CCONJ
cana-5824	251	28	the	the	DET
cana-5824	251	29	stacking	stacking	NOUN
cana-5824	251	30	approach	approach	NOUN
cana-5824	251	31	.	.	PUNCT
cana-5824	252	1	out	out	ADP
cana-5824	252	2	of	of	ADP
cana-5824	252	3	these	these	PRON
cana-5824	252	4	,	,	PUNCT
cana-5824	252	5	we	we	PRON
cana-5824	252	6	found	find	VERB
cana-5824	252	7	that	that	SCONJ
cana-5824	252	8	the	the	DET
cana-5824	252	9	stacking	stacking	NOUN
cana-5824	252	10	(	(	PUNCT
cana-5824	252	11	rf	rf	ADJ
cana-5824	252	12	,	,	PUNCT
cana-5824	252	13	gb	gb	PRON
cana-5824	252	14	,	,	PUNCT
cana-5824	252	15	xgb	xgb	NUM
cana-5824	252	16	)	)	PUNCT
cana-5824	253	1	+	+	CCONJ
cana-5824	253	2	lr	lr	X
cana-5824	253	3	meta	meta	ADJ
cana-5824	253	4	-	-	PUNCT
cana-5824	253	5	learner	learner	NOUN
cana-5824	253	6	was	be	AUX
cana-5824	253	7	the	the	DET
cana-5824	253	8	most	most	ADV
cana-5824	253	9	effective	effective	ADJ
cana-5824	253	10	with	with	ADP
cana-5824	253	11	tpr=94.86	tpr=94.86	PRON
cana-5824	253	12	%	%	NOUN
cana-5824	253	13	,	,	PUNCT
cana-5824	253	14	accuracy	accuracy	NOUN
cana-5824	253	15	=	=	NOUN
cana-5824	253	16	94.70	94.70	NUM
cana-5824	253	17	%	%	NOUN
cana-5824	253	18	,	,	PUNCT
cana-5824	253	19	and	and	CCONJ
cana-5824	253	20	fpr=5.69	fpr=5.69	NOUN
cana-5824	253	21	%	%	NOUN
cana-5824	253	22	.	.	PUNCT
cana-5824	254	1	this	this	PRON
cana-5824	254	2	shows	show	VERB
cana-5824	254	3	how	how	SCONJ
cana-5824	254	4	using	use	VERB
cana-5824	254	5	various	various	ADJ
cana-5824	254	6	base	base	NOUN
cana-5824	254	7	models	model	NOUN
cana-5824	254	8	along	along	ADP
cana-5824	254	9	with	with	ADP
cana-5824	254	10	a	a	DET
cana-5824	254	11	simple	simple	ADJ
cana-5824	254	12	and	and	CCONJ
cana-5824	254	13	lightly	lightly	ADV
cana-5824	254	14	parameterized	parameterized	ADJ
cana-5824	254	15	meta	meta	ADJ
cana-5824	254	16	-	-	PUNCT
cana-5824	254	17	learner	learner	NOUN
cana-5824	254	18	provides	provide	VERB
cana-5824	254	19	high	high	ADJ
cana-5824	254	20	sensitivity	sensitivity	NOUN
cana-5824	254	21	and	and	CCONJ
cana-5824	254	22	specificity	specificity	NOUN
cana-5824	254	23	as	as	ADV
cana-5824	254	24	well	well	ADV
cana-5824	254	25	as	as	ADP
cana-5824	254	26	high	high	ADJ
cana-5824	254	27	accuracy	accuracy	NOUN
cana-5824	254	28	.	.	PUNCT
cana-5824	255	1	moreover	moreover	ADV
cana-5824	255	2	,	,	PUNCT
cana-5824	255	3	a	a	DET
cana-5824	255	4	comparison	comparison	NOUN
cana-5824	255	5	with	with	ADP
cana-5824	255	6	communications	communication	NOUN
cana-5824	255	7	on	on	ADP
cana-5824	255	8	applied	apply	VERB
cana-5824	255	9	nonlinear	nonlinear	ADJ
cana-5824	255	10	analysis	analysis	NOUN
cana-5824	255	11	issn	issn	NOUN
cana-5824	255	12	:	:	PUNCT
cana-5824	255	13	1074	1074	NUM
cana-5824	255	14	-	-	PUNCT
cana-5824	255	15	133x	133x	NUM
cana-5824	255	16	vol	vol	VERB
cana-5824	255	17	32	32	NUM
cana-5824	255	18	no	no	NOUN
cana-5824	255	19	.	.	PUNCT
cana-5824	256	1	10s	10	NOUN
cana-5824	256	2	(	(	PUNCT
cana-5824	256	3	2025	2025	NUM
cana-5824	256	4	)	)	PUNCT
cana-5824	256	5	2872	2872	NUM
cana-5824	256	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	256	7	standard	standard	ADJ
cana-5824	256	8	models	model	NOUN
cana-5824	256	9	such	such	ADJ
cana-5824	256	10	as	as	ADP
cana-5824	256	11	optimized	optimize	VERB
cana-5824	256	12	xgb	xgb	PROPN
cana-5824	256	13	-	-	PUNCT
cana-5824	256	14	pso	pso	NOUN
cana-5824	256	15	and	and	CCONJ
cana-5824	256	16	bilstm	bilstm	NOUN
cana-5824	256	17	-	-	PUNCT
cana-5824	256	18	logitboost	logitboost	NOUN
cana-5824	256	19	also	also	ADV
cana-5824	256	20	confirmed	confirm	VERB
cana-5824	256	21	the	the	DET
cana-5824	256	22	effectiveness	effectiveness	NOUN
cana-5824	256	23	of	of	ADP
cana-5824	256	24	the	the	DET
cana-5824	256	25	described	describe	VERB
cana-5824	256	26	approach	approach	NOUN
cana-5824	256	27	,	,	PUNCT
cana-5824	256	28	as	as	SCONJ
cana-5824	256	29	it	it	PRON
cana-5824	256	30	had	have	VERB
cana-5824	256	31	higher	high	ADJ
cana-5824	256	32	recall	recall	NOUN
cana-5824	256	33	with	with	ADP
cana-5824	256	34	less	less	ADJ
cana-5824	256	35	number	number	NOUN
cana-5824	256	36	of	of	ADP
cana-5824	256	37	false	false	ADJ
cana-5824	256	38	positives	positive	NOUN
cana-5824	256	39	in	in	ADP
cana-5824	256	40	comparison	comparison	NOUN
cana-5824	256	41	with	with	ADP
cana-5824	256	42	the	the	DET
cana-5824	256	43	listed	list	VERB
cana-5824	256	44	methods	method	NOUN
cana-5824	256	45	.	.	PUNCT
cana-5824	257	1	examining	examine	VERB
cana-5824	257	2	the	the	DET
cana-5824	257	3	overall	overall	ADJ
cana-5824	257	4	performance	performance	NOUN
cana-5824	257	5	of	of	ADP
cana-5824	257	6	the	the	DET
cana-5824	257	7	proposed	propose	VERB
cana-5824	257	8	model	model	NOUN
cana-5824	257	9	,	,	PUNCT
cana-5824	257	10	the	the	DET
cana-5824	257	11	following	follow	VERB
cana-5824	257	12	limitations	limitation	NOUN
cana-5824	257	13	can	can	AUX
cana-5824	257	14	be	be	AUX
cana-5824	257	15	observed	observe	VERB
cana-5824	257	16	.	.	PUNCT
cana-5824	258	1	the	the	DET
cana-5824	258	2	computational	computational	ADJ
cana-5824	258	3	complexity	complexity	NOUN
cana-5824	258	4	of	of	ADP
cana-5824	258	5	the	the	DET
cana-5824	258	6	stacking	stacking	NOUN
cana-5824	258	7	approach	approach	NOUN
cana-5824	258	8	can	can	AUX
cana-5824	258	9	significantly	significantly	ADV
cana-5824	258	10	limit	limit	VERB
cana-5824	258	11	the	the	DET
cana-5824	258	12	possibilities	possibility	NOUN
cana-5824	258	13	for	for	ADP
cana-5824	258	14	real	real	ADJ
cana-5824	258	15	time	time	NOUN
cana-5824	258	16	application	application	NOUN
cana-5824	258	17	in	in	ADP
cana-5824	258	18	massive	massive	ADJ
cana-5824	258	19	or	or	CCONJ
cana-5824	258	20	in	in	ADP
cana-5824	258	21	conditions	condition	NOUN
cana-5824	258	22	of	of	ADP
cana-5824	258	23	a	a	DET
cana-5824	258	24	lack	lack	NOUN
cana-5824	258	25	of	of	ADP
cana-5824	258	26	resources	resource	NOUN
cana-5824	258	27	.	.	PUNCT
cana-5824	259	1	further	far	ADV
cana-5824	259	2	,	,	PUNCT
cana-5824	259	3	it	it	PRON
cana-5824	259	4	is	be	AUX
cana-5824	259	5	prominent	prominent	ADJ
cana-5824	259	6	that	that	SCONJ
cana-5824	259	7	the	the	DET
cana-5824	259	8	model	model	NOUN
cana-5824	259	9	keeps	keep	VERB
cana-5824	259	10	minority	minority	NOUN
cana-5824	259	11	class	class	NOUN
cana-5824	259	12	samples	sample	NOUN
cana-5824	259	13	in	in	ADP
cana-5824	259	14	consideration	consideration	NOUN
cana-5824	259	15	which	which	PRON
cana-5824	259	16	essentially	essentially	ADV
cana-5824	259	17	suggests	suggest	VERB
cana-5824	259	18	that	that	SCONJ
cana-5824	259	19	methods	method	NOUN
cana-5824	259	20	to	to	PART
cana-5824	259	21	address	address	VERB
cana-5824	259	22	class	class	NOUN
cana-5824	259	23	imbalance	imbalance	NOUN
cana-5824	259	24	should	should	AUX
cana-5824	259	25	be	be	AUX
cana-5824	259	26	strengthened	strengthen	VERB
cana-5824	259	27	.	.	PUNCT
cana-5824	260	1	adasyn	adasyn	PROPN
cana-5824	260	2	has	have	VERB
cana-5824	260	3	limitations	limitation	NOUN
cana-5824	260	4	when	when	SCONJ
cana-5824	260	5	used	use	VERB
cana-5824	260	6	for	for	ADP
cana-5824	260	7	balancing	balancing	NOUN
cana-5824	260	8	;	;	PUNCT
cana-5824	260	9	one	one	NUM
cana-5824	260	10	of	of	ADP
cana-5824	260	11	them	they	PRON
cana-5824	260	12	is	be	AUX
cana-5824	260	13	when	when	SCONJ
cana-5824	260	14	it	it	PRON
cana-5824	260	15	introduces	introduce	VERB
cana-5824	260	16	new	new	ADJ
cana-5824	260	17	instances	instance	NOUN
cana-5824	260	18	that	that	PRON
cana-5824	260	19	may	may	AUX
cana-5824	260	20	distort	distort	VERB
cana-5824	260	21	the	the	DET
cana-5824	260	22	ability	ability	NOUN
cana-5824	260	23	to	to	PART
cana-5824	260	24	generalize	generalize	VERB
cana-5824	260	25	.	.	PUNCT
cana-5824	261	1	furthermore	furthermore	ADV
cana-5824	261	2	,	,	PUNCT
cana-5824	261	3	the	the	DET
cana-5824	261	4	hyperparameters	hyperparameter	NOUN
cana-5824	261	5	were	be	AUX
cana-5824	261	6	tuned	tune	VERB
cana-5824	261	7	with	with	ADP
cana-5824	261	8	respect	respect	NOUN
cana-5824	261	9	to	to	ADP
cana-5824	261	10	the	the	DET
cana-5824	261	11	sgcc	sgcc	NOUN
cana-5824	261	12	dataset	dataset	VERB
cana-5824	261	13	,	,	PUNCT
cana-5824	261	14	and	and	CCONJ
cana-5824	261	15	its	its	PRON
cana-5824	261	16	generalization	generalization	NOUN
cana-5824	261	17	capacity	capacity	NOUN
cana-5824	261	18	towards	towards	ADP
cana-5824	261	19	other	other	ADJ
cana-5824	261	20	unseen	unseen	ADJ
cana-5824	261	21	datasets	dataset	NOUN
cana-5824	261	22	is	be	AUX
cana-5824	261	23	still	still	ADV
cana-5824	261	24	unknown	unknown	ADJ
cana-5824	261	25	.	.	PUNCT
cana-5824	262	1	7	7	X
cana-5824	262	2	.	.	X
cana-5824	262	3	future	future	ADJ
cana-5824	262	4	scope	scope	NOUN
cana-5824	262	5	future	future	ADJ
cana-5824	262	6	advancements	advancement	NOUN
cana-5824	262	7	in	in	ADP
cana-5824	262	8	electricity	electricity	NOUN
cana-5824	262	9	theft	theft	NOUN
cana-5824	262	10	detection	detection	NOUN
cana-5824	262	11	will	will	AUX
cana-5824	262	12	focus	focus	VERB
cana-5824	262	13	on	on	ADP
cana-5824	262	14	the	the	DET
cana-5824	262	15	development	development	NOUN
cana-5824	262	16	of	of	ADP
cana-5824	262	17	computationally	computationally	ADV
cana-5824	262	18	efficient	efficient	ADJ
cana-5824	262	19	algorithms	algorithm	NOUN
cana-5824	262	20	that	that	PRON
cana-5824	262	21	can	can	AUX
cana-5824	262	22	handle	handle	VERB
cana-5824	262	23	large	large	ADJ
cana-5824	262	24	-	-	PUNCT
cana-5824	262	25	scale	scale	NOUN
cana-5824	262	26	,	,	PUNCT
cana-5824	262	27	high	high	ADJ
cana-5824	262	28	-	-	PUNCT
cana-5824	262	29	dimensional	dimensional	ADJ
cana-5824	262	30	data	datum	NOUN
cana-5824	262	31	from	from	ADP
cana-5824	262	32	modern	modern	ADJ
cana-5824	262	33	power	power	NOUN
cana-5824	262	34	systems	system	NOUN
cana-5824	262	35	.	.	PUNCT
cana-5824	263	1	techniques	technique	NOUN
cana-5824	263	2	like	like	ADP
cana-5824	263	3	adaptive	adaptive	ADJ
cana-5824	263	4	sampling	sampling	NOUN
cana-5824	263	5	and	and	CCONJ
cana-5824	263	6	cost	cost	NOUN
cana-5824	263	7	-	-	PUNCT
cana-5824	263	8	sensitive	sensitive	ADJ
cana-5824	263	9	learning	learning	NOUN
cana-5824	263	10	show	show	VERB
cana-5824	263	11	promise	promise	NOUN
cana-5824	263	12	in	in	ADP
cana-5824	263	13	addressing	address	VERB
cana-5824	263	14	class	class	NOUN
cana-5824	263	15	imbalance	imbalance	NOUN
cana-5824	263	16	,	,	PUNCT
cana-5824	263	17	improving	improve	VERB
cana-5824	263	18	prediction	prediction	NOUN
cana-5824	263	19	reliability	reliability	NOUN
cana-5824	263	20	in	in	ADP
cana-5824	263	21	skewed	skewed	ADJ
cana-5824	263	22	datasets	dataset	NOUN
cana-5824	263	23	.	.	PUNCT
cana-5824	264	1	additionally	additionally	ADV
cana-5824	264	2	,	,	PUNCT
cana-5824	264	3	the	the	DET
cana-5824	264	4	integration	integration	NOUN
cana-5824	264	5	of	of	ADP
cana-5824	264	6	explainable	explainable	ADJ
cana-5824	264	7	ai	ai	NOUN
cana-5824	264	8	(	(	PUNCT
cana-5824	264	9	xai	xai	PROPN
cana-5824	264	10	)	)	PUNCT
cana-5824	264	11	will	will	AUX
cana-5824	264	12	enhance	enhance	VERB
cana-5824	264	13	model	model	NOUN
cana-5824	264	14	transparency	transparency	NOUN
cana-5824	264	15	,	,	PUNCT
cana-5824	264	16	increasing	increase	VERB
cana-5824	264	17	trust	trust	NOUN
cana-5824	264	18	and	and	CCONJ
cana-5824	264	19	enabling	enable	VERB
cana-5824	264	20	easier	easy	ADJ
cana-5824	264	21	deployment	deployment	NOUN
cana-5824	264	22	in	in	ADP
cana-5824	264	23	regulatory	regulatory	ADJ
cana-5824	264	24	and	and	CCONJ
cana-5824	264	25	operational	operational	ADJ
cana-5824	264	26	settings	setting	NOUN
cana-5824	264	27	.	.	PUNCT
cana-5824	265	1	the	the	DET
cana-5824	265	2	adoption	adoption	NOUN
cana-5824	265	3	of	of	ADP
cana-5824	265	4	advanced	advanced	ADJ
cana-5824	265	5	deep	deep	ADJ
cana-5824	265	6	learning	learning	NOUN
cana-5824	265	7	architectures	architecture	NOUN
cana-5824	265	8	,	,	PUNCT
cana-5824	265	9	such	such	ADJ
cana-5824	265	10	as	as	ADP
cana-5824	265	11	transformer	transformer	NOUN
cana-5824	265	12	models	model	NOUN
cana-5824	265	13	,	,	PUNCT
cana-5824	265	14	graph	graph	NOUN
cana-5824	265	15	neural	neural	ADJ
cana-5824	265	16	networks	network	NOUN
cana-5824	265	17	(	(	PUNCT
cana-5824	265	18	gnns	gnns	NOUN
cana-5824	265	19	)	)	PUNCT
cana-5824	265	20	,	,	PUNCT
cana-5824	265	21	and	and	CCONJ
cana-5824	265	22	recurrent	recurrent	ADJ
cana-5824	265	23	neural	neural	ADJ
cana-5824	265	24	networks	network	NOUN
cana-5824	265	25	(	(	PUNCT
cana-5824	265	26	rnns	rnns	PROPN
cana-5824	265	27	)	)	PUNCT
cana-5824	265	28	,	,	PUNCT
cana-5824	265	29	will	will	AUX
cana-5824	265	30	improve	improve	VERB
cana-5824	265	31	the	the	DET
cana-5824	265	32	ability	ability	NOUN
cana-5824	265	33	to	to	PART
cana-5824	265	34	capture	capture	VERB
cana-5824	265	35	complex	complex	ADJ
cana-5824	265	36	patterns	pattern	NOUN
cana-5824	265	37	in	in	ADP
cana-5824	265	38	electricity	electricity	NOUN
cana-5824	265	39	consumption	consumption	NOUN
cana-5824	265	40	data	datum	NOUN
cana-5824	265	41	,	,	PUNCT
cana-5824	265	42	enhancing	enhance	VERB
cana-5824	265	43	model	model	NOUN
cana-5824	265	44	precision	precision	NOUN
cana-5824	265	45	and	and	CCONJ
cana-5824	265	46	generalization	generalization	NOUN
cana-5824	265	47	.	.	PUNCT
cana-5824	266	1	moreover	moreover	ADV
cana-5824	266	2	,	,	PUNCT
cana-5824	266	3	the	the	DET
cana-5824	266	4	incorporation	incorporation	NOUN
cana-5824	266	5	of	of	ADP
cana-5824	266	6	real	real	ADJ
cana-5824	266	7	time	time	NOUN
cana-5824	266	8	data	datum	NOUN
cana-5824	266	9	streams	stream	NOUN
cana-5824	266	10	and	and	CCONJ
cana-5824	266	11	edge	edge	NOUN
cana-5824	266	12	computing	computing	NOUN
cana-5824	266	13	will	will	AUX
cana-5824	266	14	enable	enable	VERB
cana-5824	266	15	faster	fast	ADV
cana-5824	266	16	,	,	PUNCT
cana-5824	266	17	distributed	distribute	VERB
cana-5824	266	18	decision	decision	NOUN
cana-5824	266	19	-	-	PUNCT
cana-5824	266	20	making	making	NOUN
cana-5824	266	21	,	,	PUNCT
cana-5824	266	22	transforming	transform	VERB
cana-5824	266	23	detection	detection	NOUN
cana-5824	266	24	systems	system	NOUN
cana-5824	266	25	for	for	ADP
cana-5824	266	26	dynamic	dynamic	ADJ
cana-5824	266	27	environments	environment	NOUN
cana-5824	266	28	.	.	PUNCT
cana-5824	267	1	these	these	DET
cana-5824	267	2	developments	development	NOUN
cana-5824	267	3	will	will	AUX
cana-5824	267	4	lead	lead	VERB
cana-5824	267	5	to	to	ADP
cana-5824	267	6	more	more	ADV
cana-5824	267	7	scalable	scalable	ADJ
cana-5824	267	8	,	,	PUNCT
cana-5824	267	9	efficient	efficient	ADJ
cana-5824	267	10	,	,	PUNCT
cana-5824	267	11	and	and	CCONJ
cana-5824	267	12	interpretable	interpretable	ADJ
cana-5824	267	13	solutions	solution	NOUN
cana-5824	267	14	for	for	ADP
cana-5824	267	15	electricity	electricity	NOUN
cana-5824	267	16	theft	theft	NOUN
cana-5824	267	17	detection	detection	NOUN
cana-5824	267	18	.	.	PUNCT
cana-5824	268	1	references	reference	NOUN
cana-5824	268	2	[	[	X
cana-5824	268	3	1	1	NUM
cana-5824	268	4	]	]	PUNCT
cana-5824	268	5	wei	wei	PROPN
cana-5824	268	6	zhuang	zhuang	PROPN
cana-5824	268	7	,	,	PUNCT
cana-5824	268	8	wen	wen	PROPN
cana-5824	268	9	jiang	jiang	PROPN
cana-5824	268	10	,	,	PUNCT
cana-5824	268	11	min	min	PROPN
cana-5824	268	12	xia	xia	PROPN
cana-5824	268	13	,	,	PUNCT
cana-5824	268	14	and	and	CCONJ
cana-5824	268	15	jun	jun	PROPN
cana-5824	268	16	liu	liu	PROPN
cana-5824	268	17	.	.	PUNCT
cana-5824	269	1	dynamic	dynamic	ADJ
cana-5824	269	2	generative	generative	ADJ
cana-5824	269	3	residual	residual	ADJ
cana-5824	269	4	graph	graph	NOUN
cana-5824	269	5	convolutional	convolutional	ADJ
cana-5824	269	6	neural	neural	ADJ
cana-5824	269	7	networks	network	NOUN
cana-5824	269	8	for	for	ADP
cana-5824	269	9	electricity	electricity	NOUN
cana-5824	269	10	theft	theft	NOUN
cana-5824	269	11	detection	detection	NOUN
cana-5824	269	12	.	.	PUNCT
cana-5824	270	1	ieee	ieee	NOUN
cana-5824	270	2	access	access	NOUN
cana-5824	270	3	,	,	PUNCT
cana-5824	270	4	12:42737–42750	12:42737–42750	NUM
cana-5824	270	5	,	,	PUNCT
cana-5824	270	6	2024	2024	NUM
cana-5824	270	7	.	.	PUNCT
cana-5824	271	1	[	[	X
cana-5824	271	2	2	2	NUM
cana-5824	271	3	]	]	X
cana-5824	271	4	arwa	arwa	PROPN
cana-5824	271	5	alromih	alromih	PROPN
cana-5824	271	6	,	,	PUNCT
cana-5824	271	7	john	john	PROPN
cana-5824	271	8	a	a	DET
cana-5824	271	9	clark	clark	NOUN
cana-5824	271	10	,	,	PUNCT
cana-5824	271	11	and	and	CCONJ
cana-5824	271	12	prosanta	prosanta	PROPN
cana-5824	271	13	gope	gope	NOUN
cana-5824	271	14	.	.	PUNCT
cana-5824	272	1	electricity	electricity	NOUN
cana-5824	272	2	theft	theft	NOUN
cana-5824	272	3	detection	detection	NOUN
cana-5824	272	4	in	in	ADP
cana-5824	272	5	the	the	DET
cana-5824	272	6	presence	presence	NOUN
cana-5824	272	7	of	of	ADP
cana-5824	272	8	prosumers	prosumer	NOUN
cana-5824	272	9	using	use	VERB
cana-5824	272	10	a	a	DET
cana-5824	272	11	cluster	cluster	NOUN
cana-5824	272	12	-	-	PUNCT
cana-5824	272	13	based	base	VERB
cana-5824	272	14	multi	multi	ADJ
cana-5824	272	15	-	-	ADJ
cana-5824	272	16	feature	feature	ADJ
cana-5824	272	17	detection	detection	NOUN
cana-5824	272	18	model	model	NOUN
cana-5824	272	19	.	.	PUNCT
cana-5824	273	1	in	in	ADP
cana-5824	273	2	2021	2021	NUM
cana-5824	273	3	ieee	ieee	NOUN
cana-5824	273	4	international	international	ADJ
cana-5824	273	5	conference	conference	NOUN
cana-5824	273	6	on	on	ADP
cana-5824	273	7	communications	communication	NOUN
cana-5824	273	8	,	,	PUNCT
cana-5824	273	9	control	control	NOUN
cana-5824	273	10	,	,	PUNCT
cana-5824	273	11	and	and	CCONJ
cana-5824	273	12	computing	computing	NOUN
cana-5824	273	13	technologies	technology	NOUN
cana-5824	273	14	for	for	ADP
cana-5824	273	15	smart	smart	ADJ
cana-5824	273	16	grids	grid	NOUN
cana-5824	273	17	(	(	PUNCT
cana-5824	273	18	smartgridcomm	smartgridcomm	NOUN
cana-5824	273	19	)	)	PUNCT
cana-5824	273	20	,	,	PUNCT
cana-5824	273	21	pages	page	NOUN
cana-5824	273	22	339	339	NUM
cana-5824	273	23	–	–	PUNCT
cana-5824	273	24	345	345	NUM
cana-5824	273	25	.	.	PUNCT
cana-5824	274	1	ieee	ieee	NOUN
cana-5824	274	2	,	,	PUNCT
cana-5824	274	3	2021	2021	NUM
cana-5824	274	4	.	.	PUNCT
cana-5824	275	1	[	[	X
cana-5824	275	2	3	3	X
cana-5824	275	3	]	]	X
cana-5824	275	4	ivan	ivan	PROPN
cana-5824	275	5	petrlik	petrlik	PROPN
cana-5824	275	6	,	,	PUNCT
cana-5824	275	7	pedro	pedro	PROPN
cana-5824	275	8	lezama	lezama	PROPN
cana-5824	275	9	,	,	PUNCT
cana-5824	275	10	ciro	ciro	PROPN
cana-5824	275	11	rodriguez	rodriguez	PROPN
cana-5824	275	12	,	,	PUNCT
cana-5824	275	13	ricardo	ricardo	PROPN
cana-5824	275	14	inquilla	inquilla	PROPN
cana-5824	275	15	,	,	PUNCT
cana-5824	275	16	julissa	julissa	PROPN
cana-5824	275	17	elizabeth	elizabeth	PROPN
cana-5824	275	18	reyna	reyna	PROPN
cana-5824	275	19	-	-	PUNCT
cana-5824	275	20	gonzález	gonzález	PROPN
cana-5824	275	21	,	,	PUNCT
cana-5824	275	22	and	and	CCONJ
cana-5824	275	23	roberto	roberto	PROPN
cana-5824	275	24	esparza	esparza	PROPN
cana-5824	275	25	.	.	PUNCT
cana-5824	276	1	electricity	electricity	NOUN
cana-5824	276	2	theft	theft	NOUN
cana-5824	276	3	detection	detection	NOUN
cana-5824	276	4	using	use	VERB
cana-5824	276	5	machine	machine	NOUN
cana-5824	276	6	learning	learning	NOUN
cana-5824	276	7	.	.	PUNCT
cana-5824	277	1	international	international	ADJ
cana-5824	277	2	journal	journal	NOUN
cana-5824	277	3	of	of	ADP
cana-5824	277	4	advanced	advanced	ADJ
cana-5824	277	5	computer	computer	NOUN
cana-5824	277	6	science	science	NOUN
cana-5824	277	7	and	and	CCONJ
cana-5824	277	8	applications	application	NOUN
cana-5824	277	9	,	,	PUNCT
cana-5824	277	10	13(12	13(12	NUM
cana-5824	277	11	)	)	PUNCT
cana-5824	277	12	,	,	PUNCT
cana-5824	277	13	2022	2022	NUM
cana-5824	277	14	.	.	PUNCT
cana-5824	278	1	[	[	X
cana-5824	278	2	4	4	NUM
cana-5824	278	3	]	]	PUNCT
cana-5824	278	4	yu	yu	PROPN
cana-5824	278	5	yao	yao	PROPN
cana-5824	278	6	,	,	PUNCT
cana-5824	278	7	hengyu	hengyu	PROPN
cana-5824	278	8	hui	hui	PROPN
cana-5824	278	9	,	,	PUNCT
cana-5824	278	10	ziyang	ziyang	PROPN
cana-5824	278	11	liang	liang	PROPN
cana-5824	278	12	,	,	PUNCT
cana-5824	278	13	xiaofeng	xiaofeng	PROPN
cana-5824	278	14	feng	feng	PROPN
cana-5824	278	15	,	,	PUNCT
cana-5824	278	16	and	and	CCONJ
cana-5824	278	17	wenchong	wenchong	PROPN
cana-5824	278	18	guo	guo	PROPN
cana-5824	278	19	.	.	PUNCT
cana-5824	279	1	adaboost	adaboost	PROPN
cana-5824	279	2	-	-	PUNCT
cana-5824	279	3	cnn	cnn	PROPN
cana-5824	279	4	:	:	PUNCT
cana-5824	279	5	a	a	DET
cana-5824	279	6	hybrid	hybrid	ADJ
cana-5824	279	7	method	method	NOUN
cana-5824	279	8	for	for	ADP
cana-5824	279	9	electricity	electricity	NOUN
cana-5824	279	10	theft	theft	NOUN
cana-5824	279	11	detection	detection	NOUN
cana-5824	279	12	.	.	PUNCT
cana-5824	280	1	in	in	ADP
cana-5824	280	2	2021	2021	NUM
cana-5824	280	3	6th	6th	ADJ
cana-5824	280	4	asia	asia	PROPN
cana-5824	280	5	conference	conference	PROPN
cana-5824	280	6	on	on	ADP
cana-5824	280	7	power	power	NOUN
cana-5824	280	8	and	and	CCONJ
cana-5824	280	9	electrical	electrical	ADJ
cana-5824	280	10	engineering	engineering	NOUN
cana-5824	280	11	(	(	PUNCT
cana-5824	280	12	acpee	acpee	NOUN
cana-5824	280	13	)	)	PUNCT
cana-5824	280	14	,	,	PUNCT
cana-5824	280	15	pages	page	VERB
cana-5824	280	16	436–440	436–440	NUM
cana-5824	280	17	.	.	PUNCT
cana-5824	281	1	ieee	ieee	NOUN
cana-5824	281	2	,	,	PUNCT
cana-5824	281	3	2021	2021	NUM
cana-5824	281	4	.	.	PUNCT
cana-5824	282	1	[	[	X
cana-5824	282	2	5	5	X
cana-5824	282	3	]	]	PUNCT
cana-5824	282	4	inam	inam	PROPN
cana-5824	282	5	ullah	ullah	PROPN
cana-5824	282	6	khan	khan	PROPN
cana-5824	282	7	,	,	PUNCT
cana-5824	282	8	nadeem	nadeem	PROPN
cana-5824	282	9	javeid	javeid	PROPN
cana-5824	282	10	,	,	PUNCT
cana-5824	282	11	c	c	PROPN
cana-5824	282	12	james	james	PROPN
cana-5824	282	13	taylor	taylor	PROPN
cana-5824	282	14	,	,	PUNCT
cana-5824	282	15	kelum	kelum	VERB
cana-5824	282	16	aa	aa	NOUN
cana-5824	282	17	gamage	gamage	NOUN
cana-5824	282	18	,	,	PUNCT
cana-5824	282	19	and	and	CCONJ
cana-5824	282	20	xiandong	xiandong	PROPN
cana-5824	282	21	ma	ma	PROPN
cana-5824	282	22	.	.	PROPN
cana-5824	283	1	a	a	DET
cana-5824	283	2	stacked	stack	VERB
cana-5824	283	3	machine	machine	NOUN
cana-5824	283	4	and	and	CCONJ
cana-5824	283	5	deep	deep	ADJ
cana-5824	283	6	learning	learning	NOUN
cana-5824	283	7	-	-	PUNCT
cana-5824	283	8	based	base	VERB
cana-5824	283	9	approach	approach	NOUN
cana-5824	283	10	for	for	ADP
cana-5824	283	11	analysing	analyse	VERB
cana-5824	283	12	electricity	electricity	NOUN
cana-5824	283	13	theft	theft	NOUN
cana-5824	283	14	in	in	ADP
cana-5824	283	15	smart	smart	ADJ
cana-5824	283	16	grids	grid	NOUN
cana-5824	283	17	.	.	PUNCT
cana-5824	284	1	ieee	ieee	NOUN
cana-5824	284	2	transactions	transaction	NOUN
cana-5824	284	3	on	on	ADP
cana-5824	284	4	smart	smart	ADJ
cana-5824	284	5	grid	grid	NOUN
cana-5824	284	6	,	,	PUNCT
cana-5824	284	7	13(2):1633–1644	13(2):1633–1644	NUM
cana-5824	284	8	,	,	PUNCT
cana-5824	284	9	2021	2021	NUM
cana-5824	284	10	.	.	PUNCT
cana-5824	285	1	[	[	X
cana-5824	285	2	6	6	NUM
cana-5824	285	3	]	]	X
cana-5824	285	4	saddam	saddam	PROPN
cana-5824	285	5	hussain	hussain	PROPN
cana-5824	285	6	,	,	PUNCT
cana-5824	285	7	mohd	mohd	PROPN
cana-5824	285	8	wazir	wazir	PROPN
cana-5824	285	9	mustafa	mustafa	PROPN
cana-5824	285	10	,	,	PUNCT
cana-5824	285	11	touqeer	touqeer	NOUN
cana-5824	285	12	a	a	DET
cana-5824	285	13	jumani	jumani	PROPN
cana-5824	285	14	,	,	PUNCT
cana-5824	285	15	shadi	shadi	PROPN
cana-5824	285	16	khan	khan	PROPN
cana-5824	285	17	baloch	baloch	PROPN
cana-5824	285	18	,	,	PUNCT
cana-5824	285	19	hammad	hammad	PROPN
cana-5824	285	20	alotaibi	alotaibi	PROPN
cana-5824	285	21	,	,	PUNCT
cana-5824	285	22	ilyas	ilyas	PROPN
cana-5824	285	23	khan	khan	PROPN
cana-5824	285	24	,	,	PUNCT
cana-5824	285	25	and	and	CCONJ
cana-5824	285	26	afrasyab	afrasyab	PROPN
cana-5824	285	27	khan	khan	PROPN
cana-5824	285	28	.	.	PUNCT
cana-5824	286	1	a	a	DET
cana-5824	286	2	novel	novel	ADJ
cana-5824	286	3	feature	feature	NOUN
cana-5824	286	4	engineered	engineer	VERB
cana-5824	286	5	-	-	PUNCT
cana-5824	286	6	catboost	catboost	NOUN
cana-5824	286	7	-	-	PUNCT
cana-5824	286	8	based	base	VERB
cana-5824	286	9	supervised	supervised	ADJ
cana-5824	286	10	machine	machine	NOUN
cana-5824	286	11	learning	learning	NOUN
cana-5824	286	12	framework	framework	NOUN
cana-5824	286	13	for	for	ADP
cana-5824	286	14	electricity	electricity	NOUN
cana-5824	286	15	theft	theft	NOUN
cana-5824	286	16	detection	detection	NOUN
cana-5824	286	17	.	.	PUNCT
cana-5824	287	1	energy	energy	NOUN
cana-5824	287	2	reports	report	NOUN
cana-5824	287	3	,	,	PUNCT
cana-5824	287	4	7:4425–4436	7:4425–4436	NUM
cana-5824	287	5	,	,	PUNCT
cana-5824	287	6	2021	2021	NUM
cana-5824	287	7	.	.	PUNCT
cana-5824	288	1	communications	communication	NOUN
cana-5824	288	2	on	on	ADP
cana-5824	288	3	applied	apply	VERB
cana-5824	288	4	nonlinear	nonlinear	ADJ
cana-5824	288	5	analysis	analysis	NOUN
cana-5824	288	6	issn	issn	NOUN
cana-5824	288	7	:	:	PUNCT
cana-5824	288	8	1074	1074	NUM
cana-5824	288	9	-	-	PUNCT
cana-5824	288	10	133x	133x	NUM
cana-5824	288	11	vol	vol	VERB
cana-5824	288	12	32	32	NUM
cana-5824	288	13	no	no	NOUN
cana-5824	288	14	.	.	PUNCT
cana-5824	289	1	10s	10	NOUN
cana-5824	289	2	(	(	PUNCT
cana-5824	289	3	2025	2025	NUM
cana-5824	289	4	)	)	PUNCT
cana-5824	289	5	2873	2873	NUM
cana-5824	289	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	290	1	[	[	X
cana-5824	290	2	7	7	X
cana-5824	290	3	]	]	X
cana-5824	290	4	abdelfatah	abdelfatah	PROPN
cana-5824	290	5	ali	ali	PROPN
cana-5824	290	6	,	,	PUNCT
cana-5824	290	7	mohamed	mohamed	PROPN
cana-5824	290	8	mokhtar	mokhtar	PROPN
cana-5824	290	9	,	,	PUNCT
cana-5824	290	10	and	and	CCONJ
cana-5824	290	11	mostafa	mostafa	PROPN
cana-5824	290	12	f	f	PROPN
cana-5824	290	13	shaaban	shaaban	PROPN
cana-5824	290	14	.	.	PUNCT
cana-5824	290	15	theft	theft	NOUN
cana-5824	290	16	cyberattacks	cyberattack	NOUN
cana-5824	290	17	detection	detection	NOUN
cana-5824	290	18	in	in	ADP
cana-5824	290	19	smart	smart	ADJ
cana-5824	290	20	grids	grid	NOUN
cana-5824	290	21	based	base	VERB
cana-5824	290	22	on	on	ADP
cana-5824	290	23	machine	machine	NOUN
cana-5824	290	24	learning	learning	NOUN
cana-5824	290	25	.	.	PUNCT
cana-5824	291	1	in	in	ADP
cana-5824	291	2	2022	2022	NUM
cana-5824	291	3	5th	5th	ADJ
cana-5824	291	4	international	international	ADJ
cana-5824	291	5	conference	conference	NOUN
cana-5824	291	6	on	on	ADP
cana-5824	291	7	communications	communication	NOUN
cana-5824	291	8	,	,	PUNCT
cana-5824	291	9	signal	signal	ADJ
cana-5824	291	10	processing	processing	NOUN
cana-5824	291	11	,	,	PUNCT
cana-5824	291	12	and	and	CCONJ
cana-5824	291	13	their	their	PRON
cana-5824	291	14	applications	application	NOUN
cana-5824	291	15	(	(	PUNCT
cana-5824	291	16	iccspa	iccspa	NOUN
cana-5824	291	17	)	)	PUNCT
cana-5824	291	18	,	,	PUNCT
cana-5824	291	19	pages	page	NOUN
cana-5824	291	20	1–4	1–4	PROPN
cana-5824	291	21	.	.	PUNCT
cana-5824	291	22	ieee	ieee	PROPN
cana-5824	291	23	,	,	PUNCT
cana-5824	291	24	2022	2022	NUM
cana-5824	291	25	.	.	PUNCT
cana-5824	292	1	[	[	X
cana-5824	292	2	8	8	NUM
cana-5824	292	3	]	]	X
cana-5824	292	4	arooj	arooj	PROPN
cana-5824	292	5	arif	arif	PROPN
cana-5824	292	6	,	,	PUNCT
cana-5824	292	7	nadeem	nadeem	PROPN
cana-5824	292	8	javaid	javaid	PROPN
cana-5824	292	9	,	,	PUNCT
cana-5824	292	10	abdulaziz	abdulaziz	PROPN
cana-5824	292	11	aldegheishem	aldegheishem	PROPN
cana-5824	292	12	,	,	PUNCT
cana-5824	292	13	and	and	CCONJ
cana-5824	292	14	nabil	nabil	PROPN
cana-5824	292	15	alrajeh	alrajeh	PROPN
cana-5824	292	16	.	.	PUNCT
cana-5824	293	1	big	big	ADJ
cana-5824	293	2	data	datum	NOUN
cana-5824	293	3	analytics	analytic	NOUN
cana-5824	293	4	for	for	ADP
cana-5824	293	5	identifying	identify	VERB
cana-5824	293	6	electricity	electricity	NOUN
cana-5824	293	7	theft	theft	NOUN
cana-5824	293	8	using	use	VERB
cana-5824	293	9	machine	machine	NOUN
cana-5824	293	10	learning	learning	NOUN
cana-5824	293	11	approaches	approach	NOUN
cana-5824	293	12	in	in	ADP
cana-5824	293	13	microgrids	microgrid	NOUN
cana-5824	293	14	for	for	ADP
cana-5824	293	15	smart	smart	ADJ
cana-5824	293	16	communities	community	NOUN
cana-5824	293	17	.	.	PUNCT
cana-5824	294	1	concurrency	concurrency	NOUN
cana-5824	294	2	and	and	CCONJ
cana-5824	294	3	computation	computation	NOUN
cana-5824	294	4	:	:	PUNCT
cana-5824	294	5	practice	practice	NOUN
cana-5824	294	6	and	and	CCONJ
cana-5824	294	7	experience	experience	NOUN
cana-5824	294	8	,	,	PUNCT
cana-5824	294	9	33(17):e6316	33(17):e6316	NUM
cana-5824	294	10	,	,	PUNCT
cana-5824	294	11	2021	2021	NUM
cana-5824	294	12	.	.	PUNCT
cana-5824	295	1	[	[	X
cana-5824	295	2	9	9	NUM
cana-5824	295	3	]	]	SYM
cana-5824	295	4	olufemi	olufemi	PROPN
cana-5824	295	5	abiodun	abiodun	PROPN
cana-5824	295	6	abraham	abraham	PROPN
cana-5824	295	7	,	,	PUNCT
cana-5824	295	8	hideya	hideya	PROPN
cana-5824	295	9	ochiai	ochiai	PROPN
cana-5824	295	10	,	,	PUNCT
cana-5824	295	11	md	md	PROPN
cana-5824	295	12	delwar	delwar	PROPN
cana-5824	295	13	hossain	hossain	PROPN
cana-5824	295	14	,	,	PUNCT
cana-5824	295	15	yuzo	yuzo	PROPN
cana-5824	295	16	taenaka	taenaka	NOUN
cana-5824	295	17	,	,	PUNCT
cana-5824	295	18	and	and	CCONJ
cana-5824	295	19	youki	youki	PROPN
cana-5824	295	20	kadobayashi	kadobayashi	PROPN
cana-5824	295	21	.	.	PUNCT
cana-5824	296	1	electricity	electricity	NOUN
cana-5824	296	2	theft	theft	NOUN
cana-5824	296	3	detection	detection	NOUN
cana-5824	296	4	for	for	ADP
cana-5824	296	5	smart	smart	ADJ
cana-5824	296	6	homes	home	NOUN
cana-5824	296	7	:	:	PUNCT
cana-5824	296	8	harnessing	harness	VERB
cana-5824	296	9	the	the	DET
cana-5824	296	10	power	power	NOUN
cana-5824	296	11	of	of	ADP
cana-5824	296	12	machine	machine	NOUN
cana-5824	296	13	learning	learn	VERB
cana-5824	296	14	with	with	ADP
cana-5824	296	15	real	real	ADJ
cana-5824	296	16	and	and	CCONJ
cana-5824	296	17	synthetic	synthetic	ADJ
cana-5824	296	18	attacks	attack	NOUN
cana-5824	296	19	.	.	PUNCT
cana-5824	297	1	ieee	ieee	NOUN
cana-5824	297	2	access	access	NOUN
cana-5824	297	3	,	,	PUNCT
cana-5824	297	4	12:26023–26045	12:26023–26045	NUM
cana-5824	297	5	,	,	PUNCT
cana-5824	297	6	2024	2024	NUM
cana-5824	297	7	.	.	PUNCT
cana-5824	298	1	[	[	X
cana-5824	298	2	10	10	NUM
cana-5824	298	3	]	]	PUNCT
cana-5824	298	4	zhongzong	zhongzong	PROPN
cana-5824	298	5	yan	yan	PROPN
cana-5824	298	6	and	and	CCONJ
cana-5824	298	7	he	he	PRON
cana-5824	299	1	wen	wen	PROPN
cana-5824	299	2	.	.	PUNCT
cana-5824	300	1	performance	performance	NOUN
cana-5824	300	2	analysis	analysis	NOUN
cana-5824	300	3	of	of	ADP
cana-5824	300	4	electricity	electricity	NOUN
cana-5824	300	5	theft	theft	NOUN
cana-5824	300	6	detection	detection	NOUN
cana-5824	300	7	for	for	ADP
cana-5824	300	8	the	the	DET
cana-5824	300	9	smart	smart	ADJ
cana-5824	300	10	grid	grid	NOUN
cana-5824	300	11	:	:	PUNCT
cana-5824	300	12	an	an	DET
cana-5824	300	13	overview	overview	NOUN
cana-5824	300	14	.	.	PUNCT
cana-5824	301	1	ieee	ieee	NOUN
cana-5824	301	2	transactions	transaction	NOUN
cana-5824	301	3	on	on	ADP
cana-5824	301	4	instrumentation	instrumentation	NOUN
cana-5824	301	5	and	and	CCONJ
cana-5824	301	6	measurement	measurement	NOUN
cana-5824	301	7	,	,	PUNCT
cana-5824	301	8	71:1–28	71:1–28	PROPN
cana-5824	301	9	,	,	PUNCT
cana-5824	301	10	2021	2021	NUM
cana-5824	301	11	.	.	PUNCT
cana-5824	302	1	[	[	X
cana-5824	302	2	11	11	NUM
cana-5824	302	3	]	]	PUNCT
cana-5824	302	4	sashikanta	sashikanta	NOUN
cana-5824	302	5	prusty	prusty	NOUN
cana-5824	302	6	,	,	PUNCT
cana-5824	302	7	debasish	debasish	PROPN
cana-5824	302	8	swapnesh	swapnesh	PROPN
cana-5824	302	9	kumar	kumar	PROPN
cana-5824	302	10	nayak	nayak	PROPN
cana-5824	302	11	,	,	PUNCT
cana-5824	302	12	meena	meena	PROPN
cana-5824	302	13	moharana	moharana	PROPN
cana-5824	302	14	,	,	PUNCT
cana-5824	302	15	sushree	sushree	PROPN
cana-5824	302	16	gayatri	gayatri	PROPN
cana-5824	302	17	priyadarsini	priyadarsini	PROPN
cana-5824	302	18	prusty	prusty	PROPN
cana-5824	302	19	,	,	PUNCT
cana-5824	302	20	manmohan	manmohan	PROPN
cana-5824	302	21	sahoo	sahoo	PROPN
cana-5824	302	22	,	,	PUNCT
cana-5824	302	23	and	and	CCONJ
cana-5824	302	24	jyotirmayee	jyotirmayee	PROPN
cana-5824	302	25	rautaray	rautaray	NOUN
cana-5824	302	26	.	.	PUNCT
cana-5824	303	1	optimizing	optimize	VERB
cana-5824	303	2	xgboost	xgboost	ADP
cana-5824	303	3	for	for	ADP
cana-5824	303	4	enhanced	enhanced	ADJ
cana-5824	303	5	electrical	electrical	ADJ
cana-5824	303	6	theft	theft	NOUN
cana-5824	303	7	detection	detection	NOUN
cana-5824	303	8	:	:	PUNCT
cana-5824	303	9	a	a	DET
cana-5824	303	10	fusion	fusion	NOUN
cana-5824	303	11	of	of	ADP
cana-5824	303	12	particle	particle	NOUN
cana-5824	303	13	swarm	swarm	NOUN
cana-5824	303	14	and	and	CCONJ
cana-5824	303	15	jaya	jaya	PROPN
cana-5824	303	16	optimization	optimization	NOUN
cana-5824	303	17	techniques	technique	NOUN
cana-5824	303	18	.	.	PUNCT
cana-5824	304	1	in	in	ADP
cana-5824	304	2	2024	2024	NUM
cana-5824	304	3	ieee	ieee	NOUN
cana-5824	304	4	4th	4th	ADJ
cana-5824	304	5	international	international	ADJ
cana-5824	304	6	conference	conference	NOUN
cana-5824	304	7	on	on	ADP
cana-5824	304	8	sustainable	sustainable	ADJ
cana-5824	304	9	energy	energy	NOUN
cana-5824	304	10	and	and	CCONJ
cana-5824	304	11	future	future	ADJ
cana-5824	304	12	electric	electric	ADJ
cana-5824	304	13	transportation	transportation	NOUN
cana-5824	304	14	(	(	PUNCT
cana-5824	304	15	sefet	sefet	PROPN
cana-5824	304	16	)	)	PUNCT
cana-5824	304	17	,	,	PUNCT
cana-5824	304	18	pages	page	NOUN
cana-5824	304	19	1–4	1–4	PROPN
cana-5824	304	20	.	.	PUNCT
cana-5824	304	21	ieee	ieee	PROPN
cana-5824	304	22	,	,	PUNCT
cana-5824	304	23	2024	2024	NUM
cana-5824	304	24	.	.	PUNCT
cana-5824	305	1	[	[	X
cana-5824	305	2	12	12	NUM
cana-5824	305	3	]	]	X
cana-5824	305	4	nadeem	nadeem	PROPN
cana-5824	305	5	javaid	javaid	PROPN
cana-5824	305	6	,	,	PUNCT
cana-5824	305	7	ahmad	ahmad	PROPN
cana-5824	305	8	almogren	almogren	PROPN
cana-5824	305	9	,	,	PUNCT
cana-5824	305	10	muhammad	muhammad	PROPN
cana-5824	305	11	adil	adil	PROPN
cana-5824	305	12	,	,	PUNCT
cana-5824	305	13	muhammad	muhammad	PROPN
cana-5824	305	14	umar	umar	PROPN
cana-5824	305	15	javed	javed	PROPN
cana-5824	305	16	,	,	PUNCT
cana-5824	305	17	mansour	mansour	PROPN
cana-5824	305	18	zuair	zuair	PROPN
cana-5824	305	19	,	,	PUNCT
cana-5824	305	20	et	et	PROPN
cana-5824	305	21	al	al	PROPN
cana-5824	305	22	.	.	PUNCT
cana-5824	305	23	rfe	rfe	PROPN
cana-5824	305	24	based	base	VERB
cana-5824	305	25	feature	feature	NOUN
cana-5824	305	26	selection	selection	NOUN
cana-5824	305	27	and	and	CCONJ
cana-5824	305	28	knnor	knnor	NOUN
cana-5824	305	29	based	base	VERB
cana-5824	305	30	data	datum	NOUN
cana-5824	305	31	balancing	balance	VERB
cana-5824	305	32	for	for	ADP
cana-5824	305	33	electricity	electricity	NOUN
cana-5824	305	34	theft	theft	NOUN
cana-5824	305	35	detection	detection	NOUN
cana-5824	305	36	using	use	VERB
cana-5824	305	37	bilstmlogitboost	bilstmlogitboost	NOUN
cana-5824	305	38	stacking	stack	VERB
cana-5824	305	39	ensemble	ensemble	ADJ
cana-5824	305	40	model	model	NOUN
cana-5824	305	41	.	.	PUNCT
cana-5824	306	1	ieee	ieee	NOUN
cana-5824	306	2	access	access	NOUN
cana-5824	306	3	,	,	PUNCT
cana-5824	306	4	10:112948–112963	10:112948–112963	NUM
cana-5824	306	5	,	,	PUNCT
cana-5824	306	6	2022	2022	NUM
cana-5824	306	7	.	.	PUNCT
cana-5824	307	1	[	[	X
cana-5824	307	2	13	13	NUM
cana-5824	307	3	]	]	X
cana-5824	307	4	mahdi	mahdi	PROPN
cana-5824	307	5	emadaleslami	emadaleslami	PROPN
cana-5824	307	6	,	,	PUNCT
cana-5824	307	7	mahmoud	mahmoud	PROPN
cana-5824	307	8	-	-	PUNCT
cana-5824	307	9	reza	reza	PROPN
cana-5824	307	10	haghifam	haghifam	NOUN
cana-5824	307	11	,	,	PUNCT
cana-5824	307	12	and	and	CCONJ
cana-5824	307	13	mansoureh	mansoureh	NOUN
cana-5824	307	14	zangiabadi	zangiabadi	NOUN
cana-5824	307	15	.	.	PUNCT
cana-5824	308	1	a	a	DET
cana-5824	308	2	two	two	NUM
cana-5824	308	3	stage	stage	NOUN
cana-5824	308	4	approach	approach	NOUN
cana-5824	308	5	to	to	ADP
cana-5824	308	6	electricity	electricity	NOUN
cana-5824	308	7	theft	theft	NOUN
cana-5824	308	8	detection	detection	NOUN
cana-5824	308	9	in	in	ADP
cana-5824	308	10	ami	ami	NOUN
cana-5824	308	11	using	use	VERB
cana-5824	308	12	deep	deep	ADJ
cana-5824	308	13	learning	learning	NOUN
cana-5824	308	14	.	.	PUNCT
cana-5824	309	1	international	international	ADJ
cana-5824	309	2	journal	journal	NOUN
cana-5824	309	3	of	of	ADP
cana-5824	309	4	electrical	electrical	ADJ
cana-5824	309	5	power	power	NOUN
cana-5824	309	6	&	&	CCONJ
cana-5824	309	7	energy	energy	NOUN
cana-5824	309	8	systems	system	NOUN
cana-5824	309	9	,	,	PUNCT
cana-5824	309	10	150:109088	150:109088	NUM
cana-5824	309	11	,	,	PUNCT
cana-5824	309	12	2023	2023	NUM
cana-5824	309	13	.	.	PUNCT
cana-5824	310	1	[	[	X
cana-5824	310	2	14	14	NUM
cana-5824	310	3	]	]	X
cana-5824	310	4	nadeem	nadeem	PROPN
cana-5824	310	5	javaid	javaid	PROPN
cana-5824	310	6	,	,	PUNCT
cana-5824	310	7	mariam	mariam	PROPN
cana-5824	310	8	akbar	akbar	PROPN
cana-5824	310	9	,	,	PUNCT
cana-5824	310	10	abdulaziz	abdulaziz	PROPN
cana-5824	310	11	aldegheishem	aldegheishem	PROPN
cana-5824	310	12	,	,	PUNCT
cana-5824	310	13	nabil	nabil	PROPN
cana-5824	310	14	alrajeh	alrajeh	PROPN
cana-5824	310	15	,	,	PUNCT
cana-5824	310	16	emad	emad	PROPN
cana-5824	310	17	a	a	DET
cana-5824	310	18	mohammed	mohammed	PROPN
cana-5824	310	19	,	,	PUNCT
cana-5824	310	20	et	et	PROPN
cana-5824	310	21	al	al	PROPN
cana-5824	310	22	.	.	PUNCT
cana-5824	311	1	employing	employ	VERB
cana-5824	311	2	a	a	DET
cana-5824	311	3	machine	machine	NOUN
cana-5824	311	4	learning	learn	VERB
cana-5824	311	5	boosting	boost	VERB
cana-5824	311	6	classifiers	classifier	NOUN
cana-5824	311	7	based	base	VERB
cana-5824	311	8	stacking	stack	VERB
cana-5824	311	9	ensemble	ensemble	ADJ
cana-5824	311	10	model	model	NOUN
cana-5824	311	11	for	for	ADP
cana-5824	311	12	detecting	detect	VERB
cana-5824	311	13	non	non	ADJ
cana-5824	311	14	technical	technical	ADJ
cana-5824	311	15	losses	loss	NOUN
cana-5824	311	16	in	in	ADP
cana-5824	311	17	smart	smart	ADJ
cana-5824	311	18	grids	grid	NOUN
cana-5824	311	19	.	.	PUNCT
cana-5824	312	1	ieee	ieee	NOUN
cana-5824	312	2	access	access	NOUN
cana-5824	312	3	,	,	PUNCT
cana-5824	312	4	10:121886–121899	10:121886–121899	NOUN
cana-5824	312	5	,	,	PUNCT
cana-5824	312	6	2022	2022	NUM
cana-5824	312	7	.	.	PUNCT
cana-5824	313	1	[	[	X
cana-5824	313	2	15	15	NUM
cana-5824	313	3	]	]	X
cana-5824	313	4	lucas	lucas	PROPN
cana-5824	313	5	duarte	duarte	PROPN
cana-5824	313	6	soares	soares	PROPN
cana-5824	313	7	,	,	PUNCT
cana-5824	313	8	altamira	altamira	PROPN
cana-5824	313	9	de	de	PROPN
cana-5824	313	10	souza	souza	PROPN
cana-5824	313	11	queiroz	queiroz	PROPN
cana-5824	313	12	,	,	PUNCT
cana-5824	313	13	gloria	gloria	PROPN
cana-5824	313	14	p	p	PROPN
cana-5824	313	15	lópez	lópez	PROPN
cana-5824	313	16	,	,	PUNCT
cana-5824	313	17	edgar	edgar	PROPN
cana-5824	313	18	m	m	PROPN
cana-5824	313	19	carreño	carreño	PROPN
cana-5824	313	20	-	-	PUNCT
cana-5824	313	21	franco	franco	PROPN
cana-5824	313	22	,	,	PUNCT
cana-5824	313	23	jesús	jesús	PROPN
cana-5824	313	24	m	m	PROPN
cana-5824	313	25	lópez	lópez	NOUN
cana-5824	313	26	-	-	PUNCT
cana-5824	313	27	lezama	lezama	NOUN
cana-5824	313	28	,	,	PUNCT
cana-5824	313	29	and	and	CCONJ
cana-5824	313	30	nicolás	nicolás	PROPN
cana-5824	313	31	muñoz	muñoz	PROPN
cana-5824	313	32	-	-	PUNCT
cana-5824	313	33	galeano	galeano	PROPN
cana-5824	313	34	.	.	PUNCT
cana-5824	314	1	bigru	bigru	PROPN
cana-5824	314	2	cnn	cnn	PROPN
cana-5824	314	3	neural	neural	ADJ
cana-5824	314	4	network	network	NOUN
cana-5824	314	5	applied	apply	VERB
cana-5824	314	6	to	to	ADP
cana-5824	314	7	electric	electric	ADJ
cana-5824	314	8	energy	energy	NOUN
cana-5824	314	9	theft	theft	NOUN
cana-5824	314	10	detection	detection	NOUN
cana-5824	314	11	.	.	PUNCT
cana-5824	315	1	electronics	electronic	NOUN
cana-5824	315	2	,	,	PUNCT
cana-5824	315	3	11(5):693	11(5):693	NUM
cana-5824	315	4	,	,	PUNCT
cana-5824	315	5	2022	2022	NUM
cana-5824	315	6	.	.	PUNCT
cana-5824	316	1	[	[	X
cana-5824	316	2	16	16	NUM
cana-5824	316	3	]	]	PUNCT
cana-5824	316	4	zhongzong	zhongzong	PROPN
cana-5824	316	5	yan	yan	PROPN
cana-5824	316	6	and	and	CCONJ
cana-5824	316	7	he	he	PRON
cana-5824	316	8	wen	wen	PROPN
cana-5824	316	9	.	.	PUNCT
cana-5824	316	10	electricity	electricity	NOUN
cana-5824	316	11	theft	theft	NOUN
cana-5824	316	12	detection	detection	NOUN
cana-5824	316	13	base	base	NOUN
cana-5824	316	14	on	on	ADP
cana-5824	316	15	extreme	extreme	ADJ
cana-5824	316	16	gradient	gradient	NOUN
cana-5824	316	17	boosting	boost	VERB
cana-5824	316	18	in	in	ADP
cana-5824	316	19	ami	ami	NOUN
cana-5824	316	20	.	.	PUNCT
cana-5824	317	1	ieee	ieee	NOUN
cana-5824	317	2	transactions	transaction	NOUN
cana-5824	317	3	on	on	ADP
cana-5824	317	4	instrumentation	instrumentation	NOUN
cana-5824	317	5	and	and	CCONJ
cana-5824	317	6	measurement	measurement	NOUN
cana-5824	317	7	,	,	PUNCT
cana-5824	317	8	70:1–9	70:1–9	NUM
cana-5824	317	9	,	,	PUNCT
cana-5824	317	10	2021	2021	NUM
cana-5824	317	11	.	.	PUNCT
cana-5824	318	1	[	[	X
cana-5824	318	2	17	17	NUM
cana-5824	318	3	]	]	X
cana-5824	318	4	junde	junde	NOUN
cana-5824	318	5	chen	chen	PROPN
cana-5824	318	6	,	,	PUNCT
cana-5824	318	7	ya	ya	PROPN
cana-5824	318	8	nanehkaran	nanehkaran	VERB
cana-5824	318	9	,	,	PUNCT
cana-5824	318	10	weirong	weirong	PROPN
cana-5824	318	11	chen	chen	PROPN
cana-5824	318	12	,	,	PUNCT
cana-5824	318	13	yajun	yajun	PROPN
cana-5824	318	14	liu	liu	PROPN
cana-5824	318	15	,	,	PUNCT
cana-5824	318	16	and	and	CCONJ
cana-5824	318	17	defu	defu	PROPN
cana-5824	318	18	zhang	zhang	PROPN
cana-5824	318	19	.	.	PUNCT
cana-5824	318	20	data	data	NOUN
cana-5824	318	21	-	-	PUNCT
cana-5824	318	22	driven	drive	VERB
cana-5824	318	23	intelligent	intelligent	ADJ
cana-5824	318	24	method	method	NOUN
cana-5824	318	25	for	for	ADP
cana-5824	318	26	detection	detection	NOUN
cana-5824	318	27	of	of	ADP
cana-5824	318	28	electricity	electricity	NOUN
cana-5824	318	29	theft	theft	NOUN
cana-5824	318	30	.	.	PUNCT
cana-5824	319	1	international	international	ADJ
cana-5824	319	2	journal	journal	NOUN
cana-5824	319	3	of	of	ADP
cana-5824	319	4	electrical	electrical	ADJ
cana-5824	319	5	power	power	NOUN
cana-5824	319	6	&	&	CCONJ
cana-5824	319	7	energy	energy	NOUN
cana-5824	319	8	systems	system	NOUN
cana-5824	319	9	,	,	PUNCT
cana-5824	319	10	148:108948	148:108948	NUM
cana-5824	319	11	,	,	PUNCT
cana-5824	319	12	2023	2023	NUM
cana-5824	319	13	.	.	PUNCT
cana-5824	320	1	[	[	X
cana-5824	320	2	18	18	NUM
cana-5824	320	3	]	]	X
cana-5824	320	4	zhengqiang	zhengqiang	PROPN
cana-5824	320	5	yang	yang	PROPN
cana-5824	320	6	,	,	PUNCT
cana-5824	320	7	linyue	linyue	PROPN
cana-5824	320	8	liu	liu	PROPN
cana-5824	320	9	,	,	PUNCT
cana-5824	320	10	ning	ning	PROPN
cana-5824	320	11	li	li	PROPN
cana-5824	320	12	,	,	PUNCT
cana-5824	320	13	and	and	CCONJ
cana-5824	320	14	he	he	PRON
cana-5824	320	15	li	li	PROPN
cana-5824	320	16	.	.	PUNCT
cana-5824	321	1	corrigendum	corrigendum	PROPN
cana-5824	321	2	to	to	ADP
cana-5824	321	3	“	"	PUNCT
cana-5824	321	4	a	a	DET
cana-5824	321	5	self	self	NOUN
cana-5824	321	6	-	-	PUNCT
cana-5824	321	7	decision	decision	NOUN
cana-5824	321	8	ant	ant	ADJ
cana-5824	321	9	colony	colony	NOUN
cana-5824	321	10	clustering	cluster	VERB
cana-5824	321	11	algorithm	algorithm	NOUN
cana-5824	321	12	for	for	ADP
cana-5824	321	13	electricity	electricity	NOUN
cana-5824	321	14	theft	theft	NOUN
cana-5824	321	15	detection	detection	NOUN
cana-5824	321	16	”	"	PUNCT
cana-5824	322	1	[	[	X
cana-5824	322	2	eng	eng	PROPN
cana-5824	322	3	.	.	PROPN
cana-5824	322	4	appl	appl	PROPN
cana-5824	322	5	.	.	PUNCT
cana-5824	323	1	artif	artif	PROPN
cana-5824	323	2	.	.	PUNCT
cana-5824	324	1	intell	intell	PROPN
cana-5824	324	2	.	.	PUNCT
cana-5824	325	1	133	133	NUM
cana-5824	325	2	,	,	PUNCT
cana-5824	325	3	part	part	NOUN
cana-5824	325	4	e	e	NOUN
cana-5824	325	5	(	(	PUNCT
cana-5824	325	6	july	july	PROPN
cana-5824	325	7	2024	2024	NUM
cana-5824	325	8	)	)	PUNCT
cana-5824	325	9	,	,	PUNCT
cana-5824	325	10	108442	108442	NUM
cana-5824	325	11	]	]	PUNCT
cana-5824	325	12	.	.	PUNCT
cana-5824	326	1	eng	eng	PROPN
cana-5824	326	2	.	.	PUNCT
cana-5824	326	3	appl	appl	PROPN
cana-5824	326	4	.	.	PUNCT
cana-5824	327	1	artif	artif	PROPN
cana-5824	327	2	.	.	PUNCT
cana-5824	328	1	intell	intell	PROPN
cana-5824	328	2	.	.	PUNCT
cana-5824	329	1	,	,	PUNCT
cana-5824	329	2	135(c	135(c	NUM
cana-5824	329	3	)	)	PUNCT
cana-5824	329	4	,	,	PUNCT
cana-5824	329	5	september	september	PROPN
cana-5824	329	6	2024	2024	NUM
cana-5824	329	7	.	.	PUNCT
cana-5824	330	1	[	[	X
cana-5824	330	2	19	19	NUM
cana-5824	330	3	]	]	X
cana-5824	330	4	santosh	santosh	PROPN
cana-5824	330	5	nirmal	nirmal	PROPN
cana-5824	330	6	,	,	PUNCT
cana-5824	330	7	pramod	pramod	PROPN
cana-5824	330	8	patil	patil	PROPN
cana-5824	330	9	,	,	PUNCT
cana-5824	330	10	and	and	CCONJ
cana-5824	330	11	jambi	jambi	PROPN
cana-5824	330	12	ratna	ratna	PROPN
cana-5824	330	13	raja	raja	PROPN
cana-5824	330	14	kumar	kumar	PROPN
cana-5824	330	15	.	.	PUNCT
cana-5824	331	1	cnn	cnn	PROPN
cana-5824	331	2	-	-	PUNCT
cana-5824	331	3	adaboost	adaboost	ADV
cana-5824	331	4	based	base	VERB
cana-5824	331	5	hybrid	hybrid	ADJ
cana-5824	331	6	model	model	NOUN
cana-5824	331	7	for	for	ADP
cana-5824	331	8	electricity	electricity	NOUN
cana-5824	331	9	theft	theft	NOUN
cana-5824	331	10	detection	detection	NOUN
cana-5824	331	11	in	in	ADP
cana-5824	331	12	smart	smart	ADJ
cana-5824	331	13	grid	grid	NOUN
cana-5824	331	14	.	.	PUNCT
cana-5824	332	1	e	e	X
cana-5824	332	2	-	-	ADJ
cana-5824	332	3	prime	prime	ADJ
cana-5824	332	4	-	-	PUNCT
cana-5824	332	5	advances	advance	NOUN
cana-5824	332	6	in	in	ADP
cana-5824	332	7	electrical	electrical	ADJ
cana-5824	332	8	engineering	engineering	NOUN
cana-5824	332	9	,	,	PUNCT
cana-5824	332	10	electronics	electronic	NOUN
cana-5824	332	11	and	and	CCONJ
cana-5824	332	12	energy	energy	NOUN
cana-5824	332	13	,	,	PUNCT
cana-5824	332	14	7:100452	7:100452	NUM
cana-5824	332	15	,	,	PUNCT
cana-5824	332	16	2024	2024	NUM
cana-5824	332	17	.	.	PUNCT
cana-5824	333	1	[	[	X
cana-5824	333	2	20	20	NUM
cana-5824	333	3	]	]	SYM
cana-5824	333	4	stanley	stanley	PROPN
cana-5824	333	5	yaw	yaw	PROPN
cana-5824	333	6	appiah	appiah	PROPN
cana-5824	333	7	,	,	PUNCT
cana-5824	333	8	emmanuel	emmanuel	PROPN
cana-5824	333	9	kofi	kofi	PROPN
cana-5824	333	10	akowuah	akowuah	PROPN
cana-5824	333	11	,	,	PUNCT
cana-5824	333	12	valentine	valentine	PROPN
cana-5824	333	13	chibueze	chibueze	VERB
cana-5824	333	14	ikpo	ikpo	PROPN
cana-5824	333	15	,	,	PUNCT
cana-5824	333	16	and	and	CCONJ
cana-5824	333	17	albert	albert	PROPN
cana-5824	333	18	dede	dede	PROPN
cana-5824	333	19	.	.	PUNCT
cana-5824	334	1	extremely	extremely	ADV
cana-5824	334	2	randomised	randomise	VERB
cana-5824	334	3	trees	tree	NOUN
cana-5824	334	4	machine	machine	NOUN
cana-5824	334	5	learning	learn	VERB
cana-5824	334	6	model	model	NOUN
cana-5824	334	7	for	for	ADP
cana-5824	334	8	electricity	electricity	NOUN
cana-5824	334	9	theft	theft	NOUN
cana-5824	334	10	detection	detection	NOUN
cana-5824	334	11	.	.	PUNCT
cana-5824	335	1	machine	machine	NOUN
cana-5824	335	2	learning	learn	VERB
cana-5824	335	3	with	with	ADP
cana-5824	335	4	applications	application	NOUN
cana-5824	335	5	,	,	PUNCT
cana-5824	335	6	12:100458	12:100458	NUM
cana-5824	335	7	,	,	PUNCT
cana-5824	335	8	2023	2023	NUM
cana-5824	335	9	.	.	PUNCT
cana-5824	336	1	communications	communication	NOUN
cana-5824	336	2	on	on	ADP
cana-5824	336	3	applied	apply	VERB
cana-5824	336	4	nonlinear	nonlinear	ADJ
cana-5824	336	5	analysis	analysis	NOUN
cana-5824	336	6	issn	issn	NOUN
cana-5824	336	7	:	:	PUNCT
cana-5824	336	8	1074	1074	NUM
cana-5824	336	9	-	-	PUNCT
cana-5824	336	10	133x	133x	NUM
cana-5824	336	11	vol	vol	VERB
cana-5824	336	12	32	32	NUM
cana-5824	336	13	no	no	NOUN
cana-5824	336	14	.	.	PUNCT
cana-5824	337	1	10s	10	NOUN
cana-5824	337	2	(	(	PUNCT
cana-5824	337	3	2025	2025	NUM
cana-5824	337	4	)	)	PUNCT
cana-5824	337	5	2874	2874	NUM
cana-5824	337	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5824	338	1	[	[	X
cana-5824	338	2	21	21	NUM
cana-5824	338	3	]	]	X
cana-5824	338	4	asif	asif	NOUN
cana-5824	338	5	nawaz	nawaz	NOUN
cana-5824	338	6	,	,	PUNCT
cana-5824	338	7	tariq	tariq	PROPN
cana-5824	338	8	ali	ali	PROPN
cana-5824	338	9	,	,	PUNCT
cana-5824	338	10	ghulam	ghulam	PROPN
cana-5824	338	11	mustafa	mustafa	PROPN
cana-5824	338	12	,	,	PUNCT
cana-5824	338	13	saif	saif	PROPN
cana-5824	338	14	ur	ur	PROPN
cana-5824	338	15	rehman	rehman	PROPN
cana-5824	338	16	,	,	PUNCT
cana-5824	338	17	and	and	CCONJ
cana-5824	338	18	muhammad	muhammad	PROPN
cana-5824	338	19	rizwan	rizwan	PROPN
cana-5824	338	20	rashid	rashid	PROPN
cana-5824	338	21	.	.	PUNCT
cana-5824	339	1	a	a	DET
cana-5824	339	2	novel	novel	ADJ
cana-5824	339	3	technique	technique	NOUN
cana-5824	339	4	for	for	ADP
cana-5824	339	5	detecting	detect	VERB
cana-5824	339	6	electricity	electricity	NOUN
cana-5824	339	7	theft	theft	NOUN
cana-5824	339	8	in	in	ADP
cana-5824	339	9	secure	secure	ADJ
cana-5824	339	10	smart	smart	ADJ
cana-5824	339	11	grids	grid	NOUN
cana-5824	339	12	using	use	VERB
cana-5824	339	13	cnn	cnn	PROPN
cana-5824	339	14	and	and	CCONJ
cana-5824	339	15	xg	xg	NOUN
cana-5824	339	16	-	-	PUNCT
cana-5824	339	17	boost	boost	NOUN
cana-5824	339	18	.	.	PUNCT
cana-5824	340	1	intelligent	intelligent	ADJ
cana-5824	340	2	systems	system	NOUN
cana-5824	340	3	with	with	ADP
cana-5824	340	4	applications	application	NOUN
cana-5824	340	5	,	,	PUNCT
cana-5824	340	6	17:200168	17:200168	NUM
cana-5824	340	7	,	,	PUNCT
cana-5824	340	8	2023	2023	NUM
cana-5824	340	9	.	.	PUNCT
cana-5824	341	1	[	[	X
cana-5824	341	2	22	22	NUM
cana-5824	341	3	]	]	X
cana-5824	341	4	rui	rui	PROPN
cana-5824	341	5	xia	xia	PROPN
cana-5824	341	6	,	,	PUNCT
cana-5824	341	7	yunpeng	yunpeng	PROPN
cana-5824	341	8	gao	gao	PROPN
cana-5824	341	9	,	,	PUNCT
cana-5824	341	10	yanqing	yanqe	VERB
cana-5824	341	11	zhu	zhu	PROPN
cana-5824	341	12	,	,	PUNCT
cana-5824	341	13	dexi	dexi	PROPN
cana-5824	341	14	gu	gu	PROPN
cana-5824	341	15	,	,	PUNCT
cana-5824	341	16	and	and	CCONJ
cana-5824	341	17	jiangzhao	jiangzhao	PROPN
cana-5824	341	18	wang	wang	PROPN
cana-5824	341	19	.	.	PUNCT
cana-5824	342	1	an	an	DET
cana-5824	342	2	attention	attention	NOUN
cana-5824	342	3	-	-	PUNCT
cana-5824	342	4	based	base	VERB
cana-5824	342	5	wide	wide	ADJ
cana-5824	342	6	and	and	CCONJ
cana-5824	342	7	deep	deep	ADJ
cana-5824	342	8	cnn	cnn	NOUN
cana-5824	342	9	with	with	ADP
cana-5824	342	10	dilated	dilated	ADJ
cana-5824	342	11	convolutions	convolution	NOUN
cana-5824	342	12	for	for	ADP
cana-5824	342	13	detecting	detect	VERB
cana-5824	342	14	electricity	electricity	NOUN
cana-5824	342	15	theft	theft	NOUN
cana-5824	342	16	considering	consider	VERB
cana-5824	342	17	imbalanced	imbalanced	ADJ
cana-5824	342	18	data	datum	NOUN
cana-5824	342	19	.	.	PUNCT
cana-5824	343	1	electric	electric	PROPN
cana-5824	343	2	power	power	PROPN
cana-5824	343	3	systems	system	NOUN
cana-5824	343	4	research	research	NOUN
cana-5824	343	5	,	,	PUNCT
cana-5824	343	6	214:108886	214:108886	NUM
cana-5824	343	7	,	,	PUNCT
cana-5824	343	8	2023	2023	NUM
cana-5824	343	9	.	.	PUNCT
cana-5824	344	1	[	[	X
cana-5824	344	2	23	23	NUM
cana-5824	344	3	]	]	PUNCT
cana-5824	344	4	zibin	zibin	X
cana-5824	344	5	zheng	zheng	PROPN
cana-5824	344	6	,	,	PUNCT
cana-5824	344	7	yatao	yatao	PROPN
cana-5824	344	8	yang	yang	PROPN
cana-5824	344	9	,	,	PUNCT
cana-5824	344	10	xiangdong	xiangdong	PROPN
cana-5824	344	11	niu	niu	PROPN
cana-5824	344	12	,	,	PUNCT
cana-5824	344	13	hong	hong	PROPN
cana-5824	344	14	ning	ning	PROPN
cana-5824	344	15	dai	dai	PROPN
cana-5824	344	16	,	,	PUNCT
cana-5824	344	17	and	and	CCONJ
cana-5824	344	18	yuren	yuren	PROPN
cana-5824	344	19	zhou	zhou	PROPN
cana-5824	344	20	.	.	PUNCT
cana-5824	345	1	wide	wide	ADJ
cana-5824	345	2	and	and	CCONJ
cana-5824	345	3	deep	deep	ADJ
cana-5824	345	4	convolutional	convolutional	ADJ
cana-5824	345	5	neural	neural	ADJ
cana-5824	345	6	networks	network	NOUN
cana-5824	345	7	for	for	ADP
cana-5824	345	8	electricity	electricity	NOUN
cana-5824	345	9	-	-	PUNCT
cana-5824	345	10	theft	theft	NOUN
cana-5824	345	11	detection	detection	NOUN
cana-5824	345	12	to	to	PART
cana-5824	345	13	secure	secure	VERB
cana-5824	345	14	smart	smart	ADJ
cana-5824	345	15	grids	grid	NOUN
cana-5824	345	16	.	.	PUNCT
cana-5824	346	1	ieee	ieee	NOUN
cana-5824	346	2	transactions	transaction	NOUN
cana-5824	346	3	on	on	ADP
cana-5824	346	4	industrial	industrial	ADJ
cana-5824	346	5	informatics	informatic	NOUN
cana-5824	346	6	,	,	PUNCT
cana-5824	346	7	14(4):1606–1615	14(4):1606–1615	NUM
cana-5824	346	8	,	,	PUNCT
cana-5824	346	9	2017	2017	NUM
cana-5824	346	10	.	.	PUNCT
cana-5824	347	1	[	[	X
cana-5824	347	2	24	24	NUM
cana-5824	347	3	]	]	PUNCT
cana-5824	347	4	sgcc	sgcc	VERB
cana-5824	347	5	electricity	electricity	NOUN
cana-5824	347	6	theft	theft	NOUN
cana-5824	347	7	detection	detection	NOUN
cana-5824	347	8	.	.	PUNCT
cana-5824	348	1	http://https	http://https	NOUN
cana-5824	348	2	:	:	PUNCT
cana-5824	348	3	//www.kaggle.com	//www.kaggle.com	PUNCT
cana-5824	348	4	/	/	SYM
cana-5824	348	5	datasets	dataset	NOUN
cana-5824	348	6	/	/	SYM
cana-5824	348	7	bensalem14/	bensalem14/	NOUN
cana-5824	348	8	sgcc	sgcc	NOUN
cana-5824	348	9	-	-	PUNCT
cana-5824	348	10	dataset	dataset	NOUN
cana-5824	348	11	.	.	PUNCT
cana-5824	349	1	accessed	access	VERB
cana-5824	349	2	:	:	PUNCT
cana-5824	349	3	2025	2025	NUM
cana-5824	349	4	-	-	SYM
cana-5824	349	5	01	01	NUM
cana-5824	349	6	-	-	SYM
cana-5824	349	7	31	31	NUM