id	sid	tid	token	lemma	pos
ajsts-2912	1	1	pa	pa	PROPN
ajsts-2912	1	2	ge	ge	PROPN
ajsts-2912	1	3	1	1	NUM
ajsts-2912	1	4	pa	pa	PROPN
ajsts-2912	1	5	ge	ge	PROPN
ajsts-2912	1	6	16	16	NUM
ajsts-2912	1	7	american	american	PROPN
ajsts-2912	1	8	journal	journal	PROPN
ajsts-2912	1	9	of	of	ADP
ajsts-2912	1	10	smart	smart	ADJ
ajsts-2912	1	11	technology	technology	NOUN
ajsts-2912	1	12	and	and	CCONJ
ajsts-2912	1	13	solutions	solution	NOUN
ajsts-2912	1	14	(	(	PUNCT
ajsts-2912	1	15	ajsts	ajst	NOUN
ajsts-2912	1	16	)	)	PUNCT
ajsts-2912	1	17	addressing	address	VERB
ajsts-2912	1	18	class	class	NOUN
ajsts-2912	1	19	imbalance	imbalance	NOUN
ajsts-2912	1	20	in	in	ADP
ajsts-2912	1	21	iot	iot	NOUN
ajsts-2912	1	22	:	:	PUNCT
ajsts-2912	1	23	a	a	DET
ajsts-2912	1	24	comparative	comparative	ADJ
ajsts-2912	1	25	analysis	analysis	NOUN
ajsts-2912	1	26	of	of	ADP
ajsts-2912	1	27	resampling	resample	VERB
ajsts-2912	1	28	techniques	technique	NOUN
ajsts-2912	1	29	yousef	yousef	PROPN
ajsts-2912	1	30	qawqzeha1	qawqzeha1	PROPN
ajsts-2912	1	31	*	*	PUNCT
ajsts-2912	1	32	volume	volume	NOUN
ajsts-2912	1	33	4	4	NUM
ajsts-2912	1	34	issue	issue	NOUN
ajsts-2912	1	35	1	1	NUM
ajsts-2912	1	36	,	,	PUNCT
ajsts-2912	1	37	year	year	NOUN
ajsts-2912	1	38	2025	2025	NUM
ajsts-2912	1	39	issn	issn	NOUN
ajsts-2912	1	40	:	:	PUNCT
ajsts-2912	1	41	2837	2837	NUM
ajsts-2912	1	42	-	-	SYM
ajsts-2912	1	43	0295	0295	NUM
ajsts-2912	1	44	(	(	PUNCT
ajsts-2912	1	45	online	online	ADJ
ajsts-2912	1	46	)	)	PUNCT
ajsts-2912	1	47	doi	doi	NOUN
ajsts-2912	1	48	:	:	PUNCT
ajsts-2912	1	49	https://doi.org/10.54536/ajsts.v4i1.2912	https://doi.org/10.54536/ajsts.v4i1.2912	PROPN
ajsts-2912	1	50	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	1	51	article	article	NOUN
ajsts-2912	1	52	information	information	NOUN
ajsts-2912	1	53	abstract	abstract	ADV
ajsts-2912	1	54	received	receive	VERB
ajsts-2912	1	55	:	:	PUNCT
ajsts-2912	1	56	july	july	PROPN
ajsts-2912	1	57	09	09	NUM
ajsts-2912	1	58	,	,	PUNCT
ajsts-2912	1	59	2024	2024	NUM
ajsts-2912	1	60	accepted	accept	VERB
ajsts-2912	1	61	:	:	PUNCT
ajsts-2912	1	62	august	august	PROPN
ajsts-2912	1	63	01	01	NUM
ajsts-2912	1	64	,	,	PUNCT
ajsts-2912	1	65	2024	2024	NUM
ajsts-2912	1	66	published	publish	VERB
ajsts-2912	1	67	:	:	PUNCT
ajsts-2912	1	68	february	february	PROPN
ajsts-2912	1	69	18	18	NUM
ajsts-2912	1	70	,	,	PUNCT
ajsts-2912	1	71	2025	2025	NUM
ajsts-2912	1	72	in	in	ADP
ajsts-2912	1	73	modern	modern	ADJ
ajsts-2912	1	74	times	time	NOUN
ajsts-2912	1	75	,	,	PUNCT
ajsts-2912	1	76	automated	automate	VERB
ajsts-2912	1	77	task	task	NOUN
ajsts-2912	1	78	processing	processing	NOUN
ajsts-2912	1	79	and	and	CCONJ
ajsts-2912	1	80	sophisticated	sophisticated	ADJ
ajsts-2912	1	81	algorithm	algorithm	NOUN
ajsts-2912	1	82	design	design	NOUN
ajsts-2912	1	83	are	be	AUX
ajsts-2912	1	84	important	important	ADJ
ajsts-2912	1	85	tools	tool	NOUN
ajsts-2912	1	86	for	for	ADP
ajsts-2912	1	87	using	use	VERB
ajsts-2912	1	88	cutting	cutting	NOUN
ajsts-2912	1	89	-	-	PUNCT
ajsts-2912	1	90	edge	edge	NOUN
ajsts-2912	1	91	technologies	technology	NOUN
ajsts-2912	1	92	and	and	CCONJ
ajsts-2912	1	93	approaches	approach	NOUN
ajsts-2912	1	94	to	to	PART
ajsts-2912	1	95	extract	extract	VERB
ajsts-2912	1	96	insights	insight	NOUN
ajsts-2912	1	97	from	from	ADP
ajsts-2912	1	98	data	datum	NOUN
ajsts-2912	1	99	and	and	CCONJ
ajsts-2912	1	100	practical	practical	ADJ
ajsts-2912	1	101	solutions	solution	NOUN
ajsts-2912	1	102	.	.	PUNCT
ajsts-2912	2	1	the	the	DET
ajsts-2912	2	2	machine	machine	NOUN
ajsts-2912	2	3	learning	learning	NOUN
ajsts-2912	2	4	models	model	NOUN
ajsts-2912	2	5	powered	power	VERB
ajsts-2912	2	6	by	by	ADP
ajsts-2912	2	7	data	datum	NOUN
ajsts-2912	2	8	have	have	AUX
ajsts-2912	2	9	produced	produce	VERB
ajsts-2912	2	10	outputs	output	NOUN
ajsts-2912	2	11	that	that	PRON
ajsts-2912	2	12	were	be	AUX
ajsts-2912	2	13	either	either	CCONJ
ajsts-2912	2	14	more	more	ADV
ajsts-2912	2	15	or	or	CCONJ
ajsts-2912	2	16	less	less	ADV
ajsts-2912	2	17	worthy	worthy	ADJ
ajsts-2912	2	18	when	when	SCONJ
ajsts-2912	2	19	the	the	DET
ajsts-2912	2	20	input	input	NOUN
ajsts-2912	2	21	datasets	dataset	NOUN
ajsts-2912	2	22	were	be	AUX
ajsts-2912	2	23	balanced	balance	VERB
ajsts-2912	2	24	.	.	PUNCT
ajsts-2912	3	1	an	an	DET
ajsts-2912	3	2	uneven	uneven	ADJ
ajsts-2912	3	3	distribution	distribution	NOUN
ajsts-2912	3	4	of	of	ADP
ajsts-2912	3	5	classes	class	NOUN
ajsts-2912	3	6	in	in	ADP
ajsts-2912	3	7	the	the	DET
ajsts-2912	3	8	input	input	NOUN
ajsts-2912	3	9	datasets	dataset	NOUN
ajsts-2912	3	10	has	have	AUX
ajsts-2912	3	11	resulted	result	VERB
ajsts-2912	3	12	in	in	ADP
ajsts-2912	3	13	imbalanced	imbalanced	ADJ
ajsts-2912	3	14	data	datum	NOUN
ajsts-2912	3	15	.	.	PUNCT
ajsts-2912	4	1	class	class	NOUN
ajsts-2912	4	2	imbalance	imbalance	NOUN
ajsts-2912	4	3	has	have	AUX
ajsts-2912	4	4	been	be	AUX
ajsts-2912	4	5	a	a	DET
ajsts-2912	4	6	significant	significant	ADJ
ajsts-2912	4	7	challenge	challenge	NOUN
ajsts-2912	4	8	in	in	ADP
ajsts-2912	4	9	machine	machine	NOUN
ajsts-2912	4	10	learning	learn	VERB
ajsts-2912	4	11	applications	application	NOUN
ajsts-2912	4	12	,	,	PUNCT
ajsts-2912	4	13	particularly	particularly	ADV
ajsts-2912	4	14	when	when	SCONJ
ajsts-2912	4	15	working	work	VERB
ajsts-2912	4	16	with	with	ADP
ajsts-2912	4	17	substantially	substantially	ADV
ajsts-2912	4	18	disparate	disparate	ADJ
ajsts-2912	4	19	distributions	distribution	NOUN
ajsts-2912	4	20	like	like	ADP
ajsts-2912	4	21	those	those	PRON
ajsts-2912	4	22	found	find	VERB
ajsts-2912	4	23	in	in	ADP
ajsts-2912	4	24	internet	internet	NOUN
ajsts-2912	4	25	of	of	ADP
ajsts-2912	4	26	things	thing	NOUN
ajsts-2912	4	27	datasets	dataset	NOUN
ajsts-2912	4	28	.	.	PUNCT
ajsts-2912	5	1	this	this	DET
ajsts-2912	5	2	study	study	NOUN
ajsts-2912	5	3	addressed	address	VERB
ajsts-2912	5	4	the	the	DET
ajsts-2912	5	5	class	class	NOUN
ajsts-2912	5	6	imbalance	imbalance	NOUN
ajsts-2912	5	7	issue	issue	NOUN
ajsts-2912	5	8	in	in	ADP
ajsts-2912	5	9	iot	iot	PROPN
ajsts-2912	5	10	data	datum	NOUN
ajsts-2912	5	11	by	by	ADP
ajsts-2912	5	12	comparing	compare	VERB
ajsts-2912	5	13	various	various	ADJ
ajsts-2912	5	14	resampling	resample	VERB
ajsts-2912	5	15	strategies	strategy	NOUN
ajsts-2912	5	16	.	.	PUNCT
ajsts-2912	6	1	the	the	DET
ajsts-2912	6	2	study	study	NOUN
ajsts-2912	6	3	aimed	aim	VERB
ajsts-2912	6	4	to	to	PART
ajsts-2912	6	5	find	find	VERB
ajsts-2912	6	6	efficient	efficient	ADJ
ajsts-2912	6	7	ways	way	NOUN
ajsts-2912	6	8	to	to	PART
ajsts-2912	6	9	realign	realign	VERB
ajsts-2912	6	10	class	class	NOUN
ajsts-2912	6	11	distributions	distribution	NOUN
ajsts-2912	6	12	and	and	CCONJ
ajsts-2912	6	13	enhance	enhance	VERB
ajsts-2912	6	14	the	the	DET
ajsts-2912	6	15	functionality	functionality	NOUN
ajsts-2912	6	16	of	of	ADP
ajsts-2912	6	17	machine	machine	NOUN
ajsts-2912	6	18	learning	learning	NOUN
ajsts-2912	6	19	models	model	NOUN
ajsts-2912	6	20	implemented	implement	VERB
ajsts-2912	6	21	in	in	ADP
ajsts-2912	6	22	internet	internet	NOUN
ajsts-2912	6	23	of	of	ADP
ajsts-2912	6	24	things	thing	NOUN
ajsts-2912	6	25	systems	system	NOUN
ajsts-2912	6	26	.	.	PUNCT
ajsts-2912	7	1	a	a	DET
ajsts-2912	7	2	predictive	predictive	ADJ
ajsts-2912	7	3	model	model	NOUN
ajsts-2912	7	4	built	build	VERB
ajsts-2912	7	5	on	on	ADP
ajsts-2912	7	6	an	an	DET
ajsts-2912	7	7	unbalanced	unbalanced	ADJ
ajsts-2912	7	8	data	datum	NOUN
ajsts-2912	7	9	set	set	VERB
ajsts-2912	7	10	appeared	appear	VERB
ajsts-2912	7	11	to	to	PART
ajsts-2912	7	12	have	have	VERB
ajsts-2912	7	13	high	high	ADJ
ajsts-2912	7	14	accuracy	accuracy	NOUN
ajsts-2912	7	15	,	,	PUNCT
ajsts-2912	7	16	but	but	CCONJ
ajsts-2912	7	17	it	it	PRON
ajsts-2912	7	18	struggled	struggle	VERB
ajsts-2912	7	19	to	to	PART
ajsts-2912	7	20	generalise	generalise	VERB
ajsts-2912	7	21	new	new	ADJ
ajsts-2912	7	22	data	datum	NOUN
ajsts-2912	7	23	from	from	ADP
ajsts-2912	7	24	the	the	DET
ajsts-2912	7	25	minority	minority	NOUN
ajsts-2912	7	26	class	class	NOUN
ajsts-2912	7	27	.	.	PUNCT
ajsts-2912	8	1	resampling	resample	VERB
ajsts-2912	8	2	techniques	technique	NOUN
ajsts-2912	8	3	,	,	PUNCT
ajsts-2912	8	4	including	include	VERB
ajsts-2912	8	5	over	over	ADP
ajsts-2912	8	6	-	-	PUNCT
ajsts-2912	8	7	sampling	sampling	NOUN
ajsts-2912	8	8	,	,	PUNCT
ajsts-2912	8	9	under	under	ADP
ajsts-2912	8	10	-	-	PUNCT
ajsts-2912	8	11	sampling	sampling	NOUN
ajsts-2912	8	12	,	,	PUNCT
ajsts-2912	8	13	smote	smote	ADJ
ajsts-2912	8	14	(	(	PUNCT
ajsts-2912	8	15	synthetic	synthetic	ADJ
ajsts-2912	8	16	minority	minority	NOUN
ajsts-2912	8	17	over	over	ADP
ajsts-2912	8	18	-	-	PUNCT
ajsts-2912	8	19	sampling	sample	VERB
ajsts-2912	8	20	technique	technique	NOUN
ajsts-2912	8	21	)	)	PUNCT
ajsts-2912	8	22	,	,	PUNCT
ajsts-2912	8	23	and	and	CCONJ
ajsts-2912	8	24	adasyn	adasyn	NOUN
ajsts-2912	8	25	(	(	PUNCT
ajsts-2912	8	26	adaptive	adaptive	ADJ
ajsts-2912	8	27	synthetic	synthetic	ADJ
ajsts-2912	8	28	sampling	sampling	NOUN
ajsts-2912	8	29	)	)	PUNCT
ajsts-2912	8	30	,	,	PUNCT
ajsts-2912	8	31	were	be	AUX
ajsts-2912	8	32	evaluated	evaluate	VERB
ajsts-2912	8	33	using	use	VERB
ajsts-2912	8	34	an	an	DET
ajsts-2912	8	35	extensive	extensive	ADJ
ajsts-2912	8	36	variety	variety	NOUN
ajsts-2912	8	37	of	of	ADP
ajsts-2912	8	38	iot	iot	ADJ
ajsts-2912	8	39	datasets	dataset	NOUN
ajsts-2912	8	40	spanning	span	VERB
ajsts-2912	8	41	different	different	ADJ
ajsts-2912	8	42	classes	class	NOUN
ajsts-2912	8	43	and	and	CCONJ
ajsts-2912	8	44	domains	domain	NOUN
ajsts-2912	8	45	.	.	PUNCT
ajsts-2912	9	1	the	the	DET
ajsts-2912	9	2	functionality	functionality	NOUN
ajsts-2912	9	3	of	of	ADP
ajsts-2912	9	4	each	each	DET
ajsts-2912	9	5	technique	technique	NOUN
ajsts-2912	9	6	was	be	AUX
ajsts-2912	9	7	assessed	assess	VERB
ajsts-2912	9	8	using	use	VERB
ajsts-2912	9	9	performance	performance	NOUN
ajsts-2912	9	10	metrics	metric	NOUN
ajsts-2912	9	11	such	such	ADJ
ajsts-2912	9	12	as	as	ADP
ajsts-2912	9	13	the	the	DET
ajsts-2912	9	14	area	area	NOUN
ajsts-2912	9	15	covered	cover	VERB
ajsts-2912	9	16	by	by	ADP
ajsts-2912	9	17	auc	auc	NOUN
ajsts-2912	9	18	,	,	PUNCT
ajsts-2912	9	19	f1	f1	NOUN
ajsts-2912	9	20	-	-	PUNCT
ajsts-2912	9	21	score	score	NOUN
ajsts-2912	9	22	,	,	PUNCT
ajsts-2912	9	23	precision	precision	NOUN
ajsts-2912	9	24	,	,	PUNCT
ajsts-2912	9	25	and	and	CCONJ
ajsts-2912	9	26	recall	recall	NOUN
ajsts-2912	9	27	.	.	PUNCT
ajsts-2912	10	1	this	this	DET
ajsts-2912	10	2	study	study	NOUN
ajsts-2912	10	3	advanced	advance	VERB
ajsts-2912	10	4	the	the	DET
ajsts-2912	10	5	understanding	understanding	NOUN
ajsts-2912	10	6	of	of	ADP
ajsts-2912	10	7	class	class	NOUN
ajsts-2912	10	8	imbalance	imbalance	NOUN
ajsts-2912	10	9	mitigation	mitigation	NOUN
ajsts-2912	10	10	in	in	ADP
ajsts-2912	10	11	iot	iot	PROPN
ajsts-2912	10	12	data	datum	NOUN
ajsts-2912	10	13	processing	processing	NOUN
ajsts-2912	10	14	by	by	ADP
ajsts-2912	10	15	providing	provide	VERB
ajsts-2912	10	16	insights	insight	NOUN
ajsts-2912	10	17	into	into	ADP
ajsts-2912	10	18	creating	create	VERB
ajsts-2912	10	19	more	more	ADV
ajsts-2912	10	20	durable	durable	ADJ
ajsts-2912	10	21	and	and	CCONJ
ajsts-2912	10	22	trustworthy	trustworthy	ADJ
ajsts-2912	10	23	models	model	NOUN
ajsts-2912	10	24	for	for	ADP
ajsts-2912	10	25	iot	iot	ADJ
ajsts-2912	10	26	scenarios	scenario	NOUN
ajsts-2912	10	27	.	.	PUNCT
ajsts-2912	11	1	ccs	ccs	PROPN
ajsts-2912	11	2	concepts	concept	NOUN
ajsts-2912	11	3	•	•	NUM
ajsts-2912	11	4	class	class	NOUN
ajsts-2912	11	5	imbalance	imbalance	NOUN
ajsts-2912	11	6	•	•	ADP
ajsts-2912	11	7	applied	apply	VERB
ajsts-2912	11	8	computing	computing	NOUN
ajsts-2912	11	9	•	•	NOUN
ajsts-2912	11	10	machine	machine	NOUN
ajsts-2912	11	11	learning	learn	VERB
ajsts-2912	11	12	•	•	NOUN
ajsts-2912	11	13	internet	internet	NOUN
ajsts-2912	11	14	of	of	ADP
ajsts-2912	11	15	things	thing	NOUN
ajsts-2912	11	16	(	(	PUNCT
ajsts-2912	11	17	iot	iot	NOUN
ajsts-2912	11	18	)	)	PUNCT
ajsts-2912	11	19	keywords	keyword	VERB
ajsts-2912	11	20	multi	multi	ADJ
ajsts-2912	11	21	-	-	ADJ
ajsts-2912	11	22	class	class	ADJ
ajsts-2912	11	23	classification	classification	NOUN
ajsts-2912	11	24	,	,	PUNCT
ajsts-2912	11	25	resampling	resample	VERB
ajsts-2912	11	26	techniques	technique	NOUN
ajsts-2912	11	27	,	,	PUNCT
ajsts-2912	11	28	class	class	NOUN
ajsts-2912	11	29	imbalance	imbalance	NOUN
ajsts-2912	11	30	,	,	PUNCT
ajsts-2912	11	31	hyperparameter	hyperparameter	NOUN
ajsts-2912	11	32	tuning	tuning	NOUN
ajsts-2912	11	33	,	,	PUNCT
ajsts-2912	11	34	fraud	fraud	NOUN
ajsts-2912	11	35	detection	detection	NOUN
ajsts-2912	11	36	1	1	NUM
ajsts-2912	11	37	university	university	PROPN
ajsts-2912	11	38	of	of	ADP
ajsts-2912	11	39	fujairah	fujairah	PROPN
ajsts-2912	11	40	,	,	PUNCT
ajsts-2912	11	41	48cp+j4p	48cp+j4p	PROPN
ajsts-2912	11	42	e89	e89	PROPN
ajsts-2912	11	43	,	,	PUNCT
ajsts-2912	11	44	mraisheed	mraisheed	NOUN
ajsts-2912	11	45	,	,	PUNCT
ajsts-2912	11	46	fujairah	fujairah	PROPN
ajsts-2912	11	47	,	,	PUNCT
ajsts-2912	11	48	united	united	PROPN
ajsts-2912	11	49	arab	arab	PROPN
ajsts-2912	11	50	emirates	emirates	PROPN
ajsts-2912	11	51	*	*	PUNCT
ajsts-2912	12	1	corresponding	correspond	VERB
ajsts-2912	12	2	author	author	NOUN
ajsts-2912	12	3	’s	’s	PART
ajsts-2912	12	4	e	e	NOUN
ajsts-2912	12	5	-	-	NOUN
ajsts-2912	12	6	mail	mail	NOUN
ajsts-2912	12	7	:	:	PUNCT
ajsts-2912	12	8	yousefqawqzehaa@outlook.com	yousefqawqzehaa@outlook.com	X
ajsts-2912	12	9	introduction	introduction	NOUN
ajsts-2912	12	10	the	the	DET
ajsts-2912	12	11	internet	internet	NOUN
ajsts-2912	12	12	of	of	ADP
ajsts-2912	12	13	things	thing	NOUN
ajsts-2912	12	14	(	(	PUNCT
ajsts-2912	12	15	iot	iot	NOUN
ajsts-2912	12	16	)	)	PUNCT
ajsts-2912	12	17	has	have	AUX
ajsts-2912	12	18	recently	recently	ADV
ajsts-2912	12	19	changed	change	VERB
ajsts-2912	12	20	several	several	ADJ
ajsts-2912	12	21	industries	industry	NOUN
ajsts-2912	12	22	.	.	PUNCT
ajsts-2912	13	1	it	it	PRON
ajsts-2912	13	2	has	have	AUX
ajsts-2912	13	3	made	make	VERB
ajsts-2912	13	4	it	it	PRON
ajsts-2912	13	5	possible	possible	ADJ
ajsts-2912	13	6	to	to	PART
ajsts-2912	13	7	collect	collect	VERB
ajsts-2912	13	8	and	and	CCONJ
ajsts-2912	13	9	analyse	analyse	VERB
ajsts-2912	13	10	an	an	DET
ajsts-2912	13	11	immense	immense	ADJ
ajsts-2912	13	12	quantity	quantity	NOUN
ajsts-2912	13	13	of	of	ADP
ajsts-2912	13	14	sensor	sensor	NOUN
ajsts-2912	13	15	data	datum	NOUN
ajsts-2912	13	16	for	for	ADP
ajsts-2912	13	17	various	various	ADJ
ajsts-2912	13	18	applications	application	NOUN
ajsts-2912	13	19	,	,	PUNCT
ajsts-2912	13	20	from	from	ADP
ajsts-2912	13	21	smart	smart	ADJ
ajsts-2912	13	22	healthcare	healthcare	NOUN
ajsts-2912	13	23	to	to	ADP
ajsts-2912	13	24	the	the	DET
ajsts-2912	13	25	automobile	automobile	NOUN
ajsts-2912	13	26	industry	industry	NOUN
ajsts-2912	13	27	(	(	PUNCT
ajsts-2912	13	28	pramanik	pramanik	X
ajsts-2912	13	29	et	et	PROPN
ajsts-2912	13	30	al	al	PROPN
ajsts-2912	13	31	.	.	PROPN
ajsts-2912	13	32	,	,	PUNCT
ajsts-2912	13	33	2019	2019	NUM
ajsts-2912	13	34	)	)	PUNCT
ajsts-2912	13	35	.	.	PUNCT
ajsts-2912	14	1	the	the	DET
ajsts-2912	14	2	internet	internet	NOUN
ajsts-2912	14	3	of	of	ADP
ajsts-2912	14	4	things	thing	NOUN
ajsts-2912	14	5	(	(	PUNCT
ajsts-2912	14	6	iot	iot	NOUN
ajsts-2912	14	7	)	)	PUNCT
ajsts-2912	14	8	is	be	AUX
ajsts-2912	14	9	a	a	DET
ajsts-2912	14	10	significant	significant	ADJ
ajsts-2912	14	11	advancement	advancement	NOUN
ajsts-2912	14	12	in	in	ADP
ajsts-2912	14	13	artificial	artificial	ADJ
ajsts-2912	14	14	intelligence	intelligence	NOUN
ajsts-2912	14	15	,	,	PUNCT
ajsts-2912	14	16	transforming	transform	VERB
ajsts-2912	14	17	our	our	PRON
ajsts-2912	14	18	daily	daily	ADJ
ajsts-2912	14	19	lives	life	NOUN
ajsts-2912	14	20	through	through	ADP
ajsts-2912	14	21	various	various	ADJ
ajsts-2912	14	22	functions	function	NOUN
ajsts-2912	14	23	like	like	ADP
ajsts-2912	14	24	device	device	NOUN
ajsts-2912	14	25	modelling	modelling	NOUN
ajsts-2912	14	26	,	,	PUNCT
ajsts-2912	14	27	control	control	NOUN
ajsts-2912	14	28	,	,	PUNCT
ajsts-2912	14	29	data	datum	NOUN
ajsts-2912	14	30	publishing	publishing	NOUN
ajsts-2912	14	31	,	,	PUNCT
ajsts-2912	14	32	analysis	analysis	NOUN
ajsts-2912	14	33	,	,	PUNCT
ajsts-2912	14	34	and	and	CCONJ
ajsts-2912	14	35	detection	detection	NOUN
ajsts-2912	14	36	(	(	PUNCT
ajsts-2912	14	37	wanasinghe	wanasinghe	X
ajsts-2912	14	38	et	et	PROPN
ajsts-2912	14	39	al	al	PROPN
ajsts-2912	14	40	.	.	PROPN
ajsts-2912	14	41	,	,	PUNCT
ajsts-2912	14	42	2020	2020	NUM
ajsts-2912	14	43	)	)	PUNCT
ajsts-2912	14	44	.	.	PUNCT
ajsts-2912	15	1	it	it	PRON
ajsts-2912	15	2	has	have	AUX
ajsts-2912	15	3	outpaced	outpace	VERB
ajsts-2912	15	4	other	other	ADJ
ajsts-2912	15	5	technologies	technology	NOUN
ajsts-2912	15	6	due	due	ADP
ajsts-2912	15	7	to	to	ADP
ajsts-2912	15	8	its	its	PRON
ajsts-2912	15	9	promising	promising	ADJ
ajsts-2912	15	10	future	future	NOUN
ajsts-2912	15	11	and	and	CCONJ
ajsts-2912	15	12	ability	ability	NOUN
ajsts-2912	15	13	to	to	PART
ajsts-2912	15	14	analyse	analyse	VERB
ajsts-2912	15	15	and	and	CCONJ
ajsts-2912	15	16	study	study	VERB
ajsts-2912	15	17	various	various	ADJ
ajsts-2912	15	18	elements	element	NOUN
ajsts-2912	15	19	,	,	PUNCT
ajsts-2912	15	20	making	make	VERB
ajsts-2912	15	21	it	it	PRON
ajsts-2912	15	22	a	a	DET
ajsts-2912	15	23	significant	significant	ADJ
ajsts-2912	15	24	milestone	milestone	NOUN
ajsts-2912	15	25	in	in	ADP
ajsts-2912	15	26	the	the	DET
ajsts-2912	15	27	field	field	NOUN
ajsts-2912	15	28	(	(	PUNCT
ajsts-2912	15	29	nord	nord	PROPN
ajsts-2912	15	30	et	et	PROPN
ajsts-2912	15	31	al	al	PROPN
ajsts-2912	15	32	.	.	PROPN
ajsts-2912	15	33	,	,	PUNCT
ajsts-2912	15	34	2019	2019	NUM
ajsts-2912	15	35	)	)	PUNCT
ajsts-2912	15	36	.	.	PUNCT
ajsts-2912	16	1	however	however	ADV
ajsts-2912	16	2	,	,	PUNCT
ajsts-2912	16	3	class	class	NOUN
ajsts-2912	16	4	imbalance	imbalance	NOUN
ajsts-2912	16	5	in	in	ADP
ajsts-2912	16	6	the	the	DET
ajsts-2912	16	7	datasets	dataset	NOUN
ajsts-2912	16	8	has	have	AUX
ajsts-2912	16	9	been	be	AUX
ajsts-2912	16	10	one	one	NUM
ajsts-2912	16	11	of	of	ADP
ajsts-2912	16	12	the	the	DET
ajsts-2912	16	13	main	main	ADJ
ajsts-2912	16	14	obstacles	obstacle	NOUN
ajsts-2912	16	15	to	to	PART
ajsts-2912	16	16	fully	fully	ADV
ajsts-2912	16	17	utilising	utilise	VERB
ajsts-2912	16	18	the	the	DET
ajsts-2912	16	19	potential	potential	NOUN
ajsts-2912	16	20	of	of	ADP
ajsts-2912	16	21	iot	iot	PROPN
ajsts-2912	16	22	data	datum	NOUN
ajsts-2912	16	23	.	.	PUNCT
ajsts-2912	17	1	when	when	SCONJ
ajsts-2912	17	2	one	one	NUM
ajsts-2912	17	3	class	class	NOUN
ajsts-2912	17	4	greatly	greatly	ADV
ajsts-2912	17	5	outnumbers	outnumber	VERB
ajsts-2912	17	6	the	the	DET
ajsts-2912	17	7	others	other	NOUN
ajsts-2912	17	8	,	,	PUNCT
ajsts-2912	17	9	class	class	NOUN
ajsts-2912	17	10	imbalances	imbalance	NOUN
ajsts-2912	17	11	arise	arise	VERB
ajsts-2912	17	12	,	,	PUNCT
ajsts-2912	17	13	which	which	PRON
ajsts-2912	17	14	bias	bias	NOUN
ajsts-2912	17	15	model	model	NOUN
ajsts-2912	17	16	results	result	NOUN
ajsts-2912	17	17	and	and	CCONJ
ajsts-2912	17	18	lower	low	ADJ
ajsts-2912	17	19	predicted	predict	VERB
ajsts-2912	17	20	accuracy	accuracy	NOUN
ajsts-2912	17	21	.	.	PUNCT
ajsts-2912	18	1	if	if	SCONJ
ajsts-2912	18	2	it	it	PRON
ajsts-2912	18	3	is	be	AUX
ajsts-2912	18	4	discovered	discover	VERB
ajsts-2912	18	5	that	that	SCONJ
ajsts-2912	18	6	the	the	DET
ajsts-2912	18	7	amount	amount	NOUN
ajsts-2912	18	8	of	of	ADP
ajsts-2912	18	9	data	datum	NOUN
ajsts-2912	18	10	points	point	NOUN
ajsts-2912	18	11	in	in	ADP
ajsts-2912	18	12	two	two	NUM
ajsts-2912	18	13	-	-	PUNCT
ajsts-2912	18	14	class	class	NOUN
ajsts-2912	18	15	classification	classification	NOUN
ajsts-2912	18	16	models	model	NOUN
ajsts-2912	18	17	or	or	CCONJ
ajsts-2912	18	18	multiclass	multiclass	ADJ
ajsts-2912	18	19	data	datum	NOUN
ajsts-2912	18	20	models	model	NOUN
ajsts-2912	18	21	is	be	AUX
ajsts-2912	18	22	roughly	roughly	ADV
ajsts-2912	18	23	the	the	DET
ajsts-2912	18	24	same	same	ADJ
ajsts-2912	18	25	,	,	PUNCT
ajsts-2912	18	26	handling	handle	VERB
ajsts-2912	18	27	a	a	DET
ajsts-2912	18	28	dataset	dataset	NOUN
ajsts-2912	18	29	with	with	ADP
ajsts-2912	18	30	sufficient	sufficient	ADJ
ajsts-2912	18	31	data	data	NOUN
ajsts-2912	18	32	points	point	NOUN
ajsts-2912	18	33	is	be	AUX
ajsts-2912	18	34	not	not	PART
ajsts-2912	18	35	too	too	ADV
ajsts-2912	18	36	challenging	challenging	ADJ
ajsts-2912	18	37	(	(	PUNCT
ajsts-2912	18	38	peng	peng	PROPN
ajsts-2912	18	39	et	et	PROPN
ajsts-2912	18	40	al	al	PROPN
ajsts-2912	18	41	.	.	PROPN
ajsts-2912	18	42	,	,	PUNCT
ajsts-2912	18	43	2023	2023	NUM
ajsts-2912	18	44	;	;	PUNCT
ajsts-2912	18	45	qawqzeh	qawqzeh	PROPN
ajsts-2912	18	46	&	&	CCONJ
ajsts-2912	18	47	ashraf	ashraf	PROPN
ajsts-2912	18	48	,	,	PUNCT
ajsts-2912	18	49	.2023	.2023	PROPN
ajsts-2912	18	50	)	)	PUNCT
ajsts-2912	18	51	.	.	PUNCT
ajsts-2912	19	1	the	the	DET
ajsts-2912	19	2	utilisation	utilisation	NOUN
ajsts-2912	19	3	of	of	ADP
ajsts-2912	19	4	iot	iot	PROPN
ajsts-2912	19	5	generates	generate	VERB
ajsts-2912	19	6	non	non	ADJ
ajsts-2912	19	7	-	-	ADJ
ajsts-2912	19	8	stationary	stationary	ADJ
ajsts-2912	19	9	data	datum	NOUN
ajsts-2912	19	10	streams	stream	NOUN
ajsts-2912	19	11	that	that	PRON
ajsts-2912	19	12	can	can	AUX
ajsts-2912	19	13	change	change	VERB
ajsts-2912	19	14	over	over	ADP
ajsts-2912	19	15	time	time	NOUN
ajsts-2912	19	16	,	,	PUNCT
ajsts-2912	19	17	making	make	VERB
ajsts-2912	19	18	it	it	PRON
ajsts-2912	19	19	challenging	challenge	VERB
ajsts-2912	19	20	for	for	ADP
ajsts-2912	19	21	machine	machine	NOUN
ajsts-2912	19	22	learning	learn	VERB
ajsts-2912	19	23	algorithms	algorithm	NOUN
ajsts-2912	19	24	to	to	PART
ajsts-2912	19	25	identify	identify	VERB
ajsts-2912	19	26	minority	minority	NOUN
ajsts-2912	19	27	exposure	exposure	NOUN
ajsts-2912	19	28	accurately	accurately	ADV
ajsts-2912	19	29	(	(	PUNCT
ajsts-2912	19	30	nixon	nixon	PROPN
ajsts-2912	19	31	et	et	PROPN
ajsts-2912	19	32	al	al	PROPN
ajsts-2912	19	33	.	.	PROPN
ajsts-2912	19	34	,	,	PUNCT
ajsts-2912	19	35	2019	2019	NUM
ajsts-2912	19	36	)	)	PUNCT
ajsts-2912	19	37	.	.	PUNCT
ajsts-2912	20	1	the	the	DET
ajsts-2912	20	2	lack	lack	NOUN
ajsts-2912	20	3	of	of	ADP
ajsts-2912	20	4	robust	robust	ADJ
ajsts-2912	20	5	computing	computing	NOUN
ajsts-2912	20	6	equipment	equipment	NOUN
ajsts-2912	20	7	can	can	AUX
ajsts-2912	20	8	disrupt	disrupt	VERB
ajsts-2912	20	9	machine	machine	NOUN
ajsts-2912	20	10	learning	learning	NOUN
ajsts-2912	20	11	methods	method	NOUN
ajsts-2912	20	12	like	like	ADP
ajsts-2912	20	13	oversampling	oversample	VERB
ajsts-2912	20	14	and	and	CCONJ
ajsts-2912	20	15	undersampling	undersample	VERB
ajsts-2912	20	16	,	,	PUNCT
ajsts-2912	20	17	affecting	affect	VERB
ajsts-2912	20	18	their	their	PRON
ajsts-2912	20	19	ability	ability	NOUN
ajsts-2912	20	20	to	to	PART
ajsts-2912	20	21	operate	operate	VERB
ajsts-2912	20	22	in	in	ADP
ajsts-2912	20	23	complex	complex	ADJ
ajsts-2912	20	24	environments	environment	NOUN
ajsts-2912	20	25	(	(	PUNCT
ajsts-2912	20	26	atuhurra	atuhurra	NOUN
ajsts-2912	20	27	et	et	PROPN
ajsts-2912	20	28	al	al	PROPN
ajsts-2912	20	29	.	.	PROPN
ajsts-2912	20	30	,	,	PUNCT
ajsts-2912	20	31	2024	2024	NUM
ajsts-2912	20	32	)	)	PUNCT
ajsts-2912	20	33	.	.	PUNCT
ajsts-2912	21	1	cyberattacks	cyberattack	NOUN
ajsts-2912	21	2	also	also	ADV
ajsts-2912	21	3	tax	tax	VERB
ajsts-2912	21	4	iot	iot	NOUN
ajsts-2912	21	5	networks	network	NOUN
ajsts-2912	21	6	,	,	PUNCT
ajsts-2912	21	7	leading	lead	VERB
ajsts-2912	21	8	to	to	ADP
ajsts-2912	21	9	highly	highly	ADV
ajsts-2912	21	10	skewed	skewed	ADJ
ajsts-2912	21	11	datasets	dataset	NOUN
ajsts-2912	21	12	.	.	PUNCT
ajsts-2912	22	1	momentum	momentum	NOUN
ajsts-2912	22	2	detection	detection	NOUN
ajsts-2912	22	3	of	of	ADP
ajsts-2912	22	4	minority	minority	NOUN
ajsts-2912	22	5	-	-	PUNCT
ajsts-2912	22	6	class	class	NOUN
ajsts-2912	22	7	hacking	hacking	NOUN
ajsts-2912	22	8	is	be	AUX
ajsts-2912	22	9	crucial	crucial	ADJ
ajsts-2912	22	10	in	in	ADP
ajsts-2912	22	11	iot	iot	PROPN
ajsts-2912	22	12	networks	network	NOUN
ajsts-2912	22	13	,	,	PUNCT
ajsts-2912	22	14	but	but	CCONJ
ajsts-2912	22	15	models	model	NOUN
ajsts-2912	22	16	tend	tend	VERB
ajsts-2912	22	17	to	to	PART
ajsts-2912	22	18	favour	favour	VERB
ajsts-2912	22	19	the	the	DET
ajsts-2912	22	20	majority	majority	NOUN
ajsts-2912	22	21	of	of	ADP
ajsts-2912	22	22	normal	normal	ADJ
ajsts-2912	22	23	-	-	PUNCT
ajsts-2912	22	24	class	class	NOUN
ajsts-2912	22	25	sites	site	NOUN
ajsts-2912	22	26	.	.	PUNCT
ajsts-2912	23	1	deep	deep	ADJ
ajsts-2912	23	2	learning	learning	NOUN
ajsts-2912	23	3	techniques	technique	NOUN
ajsts-2912	23	4	for	for	ADP
ajsts-2912	23	5	class	class	NOUN
ajsts-2912	23	6	imbalance	imbalance	NOUN
ajsts-2912	23	7	have	have	AUX
ajsts-2912	23	8	been	be	AUX
ajsts-2912	23	9	applied	apply	VERB
ajsts-2912	23	10	to	to	ADP
ajsts-2912	23	11	image	image	NOUN
ajsts-2912	23	12	recognition	recognition	NOUN
ajsts-2912	23	13	,	,	PUNCT
ajsts-2912	23	14	but	but	CCONJ
ajsts-2912	23	15	their	their	PRON
ajsts-2912	23	16	application	application	NOUN
ajsts-2912	23	17	to	to	ADP
ajsts-2912	23	18	non	non	ADJ
ajsts-2912	23	19	-	-	ADJ
ajsts-2912	23	20	image	image	ADJ
ajsts-2912	23	21	iot	iot	NOUN
ajsts-2912	23	22	data	datum	NOUN
ajsts-2912	23	23	may	may	AUX
ajsts-2912	23	24	require	require	VERB
ajsts-2912	23	25	different	different	ADJ
ajsts-2912	23	26	approaches	approach	NOUN
ajsts-2912	23	27	(	(	PUNCT
ajsts-2912	23	28	atuhurra	atuhurra	PROPN
ajsts-2912	23	29	et	et	PROPN
ajsts-2912	23	30	al	al	PROPN
ajsts-2912	23	31	.	.	PROPN
ajsts-2912	23	32	,	,	PUNCT
ajsts-2912	23	33	2024	2024	NUM
ajsts-2912	23	34	;	;	PUNCT
ajsts-2912	23	35	johnson	johnson	PROPN
ajsts-2912	23	36	&	&	CCONJ
ajsts-2912	23	37	khoshgoftaar	khoshgoftaar	PROPN
ajsts-2912	23	38	,	,	PUNCT
ajsts-2912	23	39	2019	2019	NUM
ajsts-2912	23	40	)	)	PUNCT
ajsts-2912	23	41	.	.	PUNCT
ajsts-2912	24	1	this	this	DET
ajsts-2912	24	2	research	research	NOUN
ajsts-2912	24	3	aims	aim	VERB
ajsts-2912	24	4	to	to	PART
ajsts-2912	24	5	reduce	reduce	VERB
ajsts-2912	24	6	class	class	NOUN
ajsts-2912	24	7	disparity	disparity	NOUN
ajsts-2912	24	8	in	in	ADP
ajsts-2912	24	9	two	two	NUM
ajsts-2912	24	10	iot	iot	ADJ
ajsts-2912	24	11	datasets	dataset	NOUN
ajsts-2912	24	12	:	:	PUNCT
ajsts-2912	24	13	iot	iot	PROPN
ajsts-2912	24	14	modbus	modbus	PROPN
ajsts-2912	24	15	and	and	CCONJ
ajsts-2912	24	16	iot	iot	PROPN
ajsts-2912	24	17	gps	gps	PROPN
ajsts-2912	24	18	tracker	tracker	NOUN
ajsts-2912	24	19	.	.	PUNCT
ajsts-2912	25	1	addressing	address	VERB
ajsts-2912	25	2	class	class	NOUN
ajsts-2912	25	3	imbalance	imbalance	NOUN
ajsts-2912	25	4	is	be	AUX
ajsts-2912	25	5	crucial	crucial	ADJ
ajsts-2912	25	6	for	for	ADP
ajsts-2912	25	7	ensuring	ensure	VERB
ajsts-2912	25	8	this	this	DET
ajsts-2912	25	9	reliability	reliability	NOUN
ajsts-2912	25	10	and	and	CCONJ
ajsts-2912	25	11	effectiveness	effectiveness	NOUN
ajsts-2912	25	12	in	in	ADP
ajsts-2912	25	13	machine	machine	NOUN
ajsts-2912	25	14	learning	learning	NOUN
ajsts-2912	25	15	models	model	NOUN
ajsts-2912	25	16	deployed	deploy	VERB
ajsts-2912	25	17	in	in	ADP
ajsts-2912	25	18	iot	iot	PROPN
ajsts-2912	25	19	systems	system	NOUN
ajsts-2912	25	20	(	(	PUNCT
ajsts-2912	25	21	qawqzeh	qawqzeh	PROPN
ajsts-2912	25	22	&	&	CCONJ
ajsts-2912	25	23	ashraf	ashraf	PROPN
ajsts-2912	25	24	,	,	PUNCT
ajsts-2912	25	25	2023	2023	NUM
ajsts-2912	25	26	;	;	PUNCT
ajsts-2912	25	27	tanha	tanha	NOUN
ajsts-2912	25	28	et	et	PROPN
ajsts-2912	25	29	al	al	PROPN
ajsts-2912	25	30	.	.	PROPN
ajsts-2912	25	31	,	,	PUNCT
ajsts-2912	25	32	.2020	.2020	PROPN
ajsts-2912	25	33	;	;	PUNCT
ajsts-2912	25	34	varotto	varotto	PROPN
ajsts-2912	25	35	et	et	PROPN
ajsts-2912	25	36	al	al	PROPN
ajsts-2912	25	37	.	.	PROPN
ajsts-2912	25	38	,	,	PUNCT
ajsts-2912	25	39	2021	2021	NUM
ajsts-2912	25	40	;	;	PUNCT
ajsts-2912	25	41	welvaars	welvaar	VERB
ajsts-2912	25	42	et	et	PROPN
ajsts-2912	25	43	al	al	PROPN
ajsts-2912	25	44	.	.	PROPN
ajsts-2912	25	45	,	,	PUNCT
ajsts-2912	25	46	2023	2023	NUM
ajsts-2912	25	47	)	)	PUNCT
ajsts-2912	25	48	.	.	PUNCT
ajsts-2912	26	1	the	the	DET
ajsts-2912	26	2	main	main	ADJ
ajsts-2912	26	3	goal	goal	NOUN
ajsts-2912	26	4	is	be	AUX
ajsts-2912	26	5	a	a	DET
ajsts-2912	26	6	competent	competent	ADJ
ajsts-2912	26	7	and	and	CCONJ
ajsts-2912	26	8	comparative	comparative	ADJ
ajsts-2912	26	9	analysis	analysis	NOUN
ajsts-2912	26	10	of	of	ADP
ajsts-2912	26	11	methods	method	NOUN
ajsts-2912	26	12	designed	design	VERB
ajsts-2912	26	13	to	to	PART
ajsts-2912	26	14	address	address	VERB
ajsts-2912	26	15	class	class	NOUN
ajsts-2912	26	16	imbalance	imbalance	NOUN
ajsts-2912	26	17	in	in	ADP
ajsts-2912	26	18	these	these	DET
ajsts-2912	26	19	datasets	dataset	NOUN
ajsts-2912	26	20	.	.	PUNCT
ajsts-2912	27	1	in	in	ADP
ajsts-2912	27	2	particular	particular	ADJ
ajsts-2912	27	3	,	,	PUNCT
ajsts-2912	27	4	we	we	PRON
ajsts-2912	27	5	examine	examine	VERB
ajsts-2912	27	6	the	the	DET
ajsts-2912	27	7	effectiveness	effectiveness	NOUN
ajsts-2912	27	8	of	of	ADP
ajsts-2912	27	9	several	several	ADJ
ajsts-2912	27	10	techniques	technique	NOUN
ajsts-2912	27	11	,	,	PUNCT
ajsts-2912	27	12	such	such	ADJ
ajsts-2912	27	13	as	as	ADP
ajsts-2912	27	14	the	the	DET
ajsts-2912	27	15	synthetic	synthetic	ADJ
ajsts-2912	27	16	minority	minority	NOUN
ajsts-2912	27	17	over	over	ADP
ajsts-2912	27	18	-	-	PUNCT
ajsts-2912	27	19	sampling	sample	VERB
ajsts-2912	27	20	technique	technique	NOUN
ajsts-2912	27	21	(	(	PUNCT
ajsts-2912	27	22	smote	smote	NOUN
ajsts-2912	27	23	)	)	PUNCT
ajsts-2912	27	24	,	,	PUNCT
ajsts-2912	27	25	random	random	ADJ
ajsts-2912	27	26	under	under	NOUN
ajsts-2912	27	27	-	-	PUNCT
ajsts-2912	27	28	sampling	sample	VERB
ajsts-2912	27	29	(	(	PUNCT
ajsts-2912	27	30	rus	rus	NOUN
ajsts-2912	27	31	)	)	PUNCT
ajsts-2912	27	32	,	,	PUNCT
ajsts-2912	27	33	random	random	ADJ
ajsts-2912	27	34	over	over	NOUN
ajsts-2912	27	35	-	-	PUNCT
ajsts-2912	27	36	sampling	sample	VERB
ajsts-2912	27	37	(	(	PUNCT
ajsts-2912	27	38	ros	ros	PROPN
ajsts-2912	27	39	)	)	PUNCT
ajsts-2912	27	40	,	,	PUNCT
ajsts-2912	27	41	and	and	CCONJ
ajsts-2912	27	42	adaptive	adaptive	ADJ
ajsts-2912	27	43	synthetic	synthetic	ADJ
ajsts-2912	27	44	sampling	sampling	NOUN
ajsts-2912	27	45	(	(	PUNCT
ajsts-2912	27	46	adasyn	adasyn	NOUN
ajsts-2912	27	47	)	)	PUNCT
ajsts-2912	27	48	method	method	NOUN
ajsts-2912	27	49	,	,	PUNCT
ajsts-2912	27	50	in	in	ADP
ajsts-2912	27	51	resolving	resolve	VERB
ajsts-2912	27	52	class	class	NOUN
ajsts-2912	27	53	imbalance	imbalance	NOUN
ajsts-2912	27	54	in	in	ADP
ajsts-2912	27	55	multi	multi	ADJ
ajsts-2912	27	56	-	-	ADJ
ajsts-2912	27	57	class	class	ADJ
ajsts-2912	27	58	scenarios	scenario	NOUN
ajsts-2912	27	59	.	.	PUNCT
ajsts-2912	28	1	machine	machine	NOUN
ajsts-2912	28	2	learning	learn	VERB
ajsts-2912	28	3	algorithms	algorithm	NOUN
ajsts-2912	28	4	trained	train	VERB
ajsts-2912	28	5	on	on	ADP
ajsts-2912	28	6	imbalance	imbalance	NOUN
ajsts-2912	28	7	datasheets	datasheet	NOUN
ajsts-2912	28	8	tend	tend	VERB
ajsts-2912	28	9	to	to	PART
ajsts-2912	28	10	perform	perform	VERB
ajsts-2912	28	11	poorly	poorly	ADV
ajsts-2912	28	12	on	on	ADP
ajsts-2912	28	13	minority	minority	NOUN
ajsts-2912	28	14	class	class	NOUN
ajsts-2912	28	15	cases	case	NOUN
ajsts-2912	28	16	,	,	PUNCT
ajsts-2912	28	17	which	which	PRON
ajsts-2912	28	18	are	be	AUX
ajsts-2912	28	19	generally	generally	ADV
ajsts-2912	28	20	more	more	ADV
ajsts-2912	28	21	interesting	interesting	ADJ
ajsts-2912	28	22	in	in	ADP
ajsts-2912	28	23	detection	detection	NOUN
ajsts-2912	28	24	and	and	CCONJ
ajsts-2912	28	25	forecasting	forecasting	NOUN
ajsts-2912	28	26	scenarios	scenario	NOUN
ajsts-2912	28	27	,	,	PUNCT
ajsts-2912	28	28	in	in	ADP
ajsts-2912	28	29	favour	favour	NOUN
ajsts-2912	28	30	of	of	ADP
ajsts-2912	28	31	the	the	DET
ajsts-2912	28	32	majority	majority	NOUN
ajsts-2912	28	33	class	class	NOUN
ajsts-2912	28	34	(	(	PUNCT
ajsts-2912	28	35	koziarski	koziarski	VERB
ajsts-2912	28	36	et	et	PROPN
ajsts-2912	28	37	al	al	PROPN
ajsts-2912	28	38	.	.	PROPN
ajsts-2912	28	39	,	,	PUNCT
ajsts-2912	28	40	2020	2020	NUM
ajsts-2912	28	41	)	)	PUNCT
ajsts-2912	28	42	.	.	PUNCT
ajsts-2912	29	1	multi	multi	ADJ
ajsts-2912	29	2	-	-	ADJ
ajsts-2912	29	3	class	class	ADJ
ajsts-2912	29	4	classification	classification	NOUN
ajsts-2912	29	5	is	be	AUX
ajsts-2912	29	6	a	a	DET
ajsts-2912	29	7	task	task	NOUN
ajsts-2912	29	8	with	with	ADP
ajsts-2912	29	9	more	more	ADJ
ajsts-2912	29	10	than	than	ADP
ajsts-2912	29	11	two	two	NUM
ajsts-2912	29	12	classes	class	NOUN
ajsts-2912	29	13	and	and	CCONJ
ajsts-2912	29	14	assumes	assume	VERB
ajsts-2912	29	15	that	that	SCONJ
ajsts-2912	29	16	an	an	DET
ajsts-2912	29	17	object	object	NOUN
ajsts-2912	29	18	can	can	AUX
ajsts-2912	29	19	only	only	ADV
ajsts-2912	29	20	receive	receive	VERB
ajsts-2912	29	21	one	one	NUM
ajsts-2912	29	22	classification	classification	NOUN
ajsts-2912	29	23	.	.	PUNCT
ajsts-2912	30	1	the	the	DET
ajsts-2912	30	2	trained	train	VERB
ajsts-2912	30	3	model	model	NOUN
ajsts-2912	30	4	,	,	PUNCT
ajsts-2912	30	5	constructed	construct	VERB
ajsts-2912	30	6	with	with	ADP
ajsts-2912	30	7	pa	pa	PROPN
ajsts-2912	30	8	ge	ge	PROPN
ajsts-2912	30	9	17	17	NUM
ajsts-2912	30	10	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	30	11	am	be	AUX
ajsts-2912	30	12	.	.	PUNCT
ajsts-2912	31	1	j.	j.	PROPN
ajsts-2912	31	2	smart	smart	PROPN
ajsts-2912	31	3	.	.	PUNCT
ajsts-2912	32	1	technol	technol	PROPN
ajsts-2912	32	2	.	.	PUNCT
ajsts-2912	32	3	solutions	solution	NOUN
ajsts-2912	32	4	4(1	4(1	NOUN
ajsts-2912	32	5	)	)	PUNCT
ajsts-2912	32	6	16	16	NUM
ajsts-2912	32	7	-	-	SYM
ajsts-2912	32	8	24	24	NUM
ajsts-2912	32	9	,	,	PUNCT
ajsts-2912	32	10	2025	2025	NUM
ajsts-2912	32	11	this	this	DET
ajsts-2912	32	12	dataset	dataset	NOUN
ajsts-2912	32	13	,	,	PUNCT
ajsts-2912	32	14	will	will	AUX
ajsts-2912	32	15	function	function	VERB
ajsts-2912	32	16	according	accord	VERB
ajsts-2912	32	17	to	to	ADP
ajsts-2912	32	18	the	the	DET
ajsts-2912	32	19	authors	author	NOUN
ajsts-2912	32	20	’	’	PART
ajsts-2912	32	21	expectations	expectation	NOUN
ajsts-2912	32	22	.	.	PUNCT
ajsts-2912	33	1	it	it	PRON
ajsts-2912	33	2	is	be	AUX
ajsts-2912	33	3	common	common	ADJ
ajsts-2912	33	4	knowledge	knowledge	NOUN
ajsts-2912	33	5	that	that	SCONJ
ajsts-2912	33	6	these	these	DET
ajsts-2912	33	7	data	datum	NOUN
ajsts-2912	33	8	points	point	NOUN
ajsts-2912	33	9	are	be	AUX
ajsts-2912	33	10	balanced	balanced	ADJ
ajsts-2912	33	11	datasets	dataset	NOUN
ajsts-2912	33	12	.	.	PUNCT
ajsts-2912	34	1	however	however	ADV
ajsts-2912	34	2	,	,	PUNCT
ajsts-2912	34	3	the	the	DET
ajsts-2912	34	4	issue	issue	NOUN
ajsts-2912	34	5	arises	arise	VERB
ajsts-2912	34	6	when	when	SCONJ
ajsts-2912	34	7	skewed	skewed	ADJ
ajsts-2912	34	8	datasets	dataset	NOUN
ajsts-2912	34	9	,	,	PUNCT
ajsts-2912	34	10	such	such	ADJ
ajsts-2912	34	11	as	as	ADP
ajsts-2912	34	12	those	those	PRON
ajsts-2912	34	13	with	with	ADP
ajsts-2912	34	14	underor	underor	NOUN
ajsts-2912	34	15	over	over	ADP
ajsts-2912	34	16	-	-	PUNCT
ajsts-2912	34	17	representation	representation	NOUN
ajsts-2912	34	18	,	,	PUNCT
ajsts-2912	34	19	are	be	AUX
ajsts-2912	34	20	acquired	acquire	VERB
ajsts-2912	34	21	to	to	PART
ajsts-2912	34	22	create	create	VERB
ajsts-2912	34	23	a	a	DET
ajsts-2912	34	24	data	data	NOUN
ajsts-2912	34	25	model	model	NOUN
ajsts-2912	34	26	for	for	ADP
ajsts-2912	34	27	predictive	predictive	ADJ
ajsts-2912	34	28	analysis	analysis	NOUN
ajsts-2912	34	29	.	.	PUNCT
ajsts-2912	35	1	we	we	PRON
ajsts-2912	35	2	seek	seek	VERB
ajsts-2912	35	3	to	to	PART
ajsts-2912	35	4	find	find	VERB
ajsts-2912	35	5	practical	practical	ADJ
ajsts-2912	35	6	approaches	approach	NOUN
ajsts-2912	35	7	for	for	ADP
ajsts-2912	35	8	enhancing	enhance	VERB
ajsts-2912	35	9	the	the	DET
ajsts-2912	35	10	predictive	predictive	ADJ
ajsts-2912	35	11	accuracy	accuracy	NOUN
ajsts-2912	35	12	and	and	CCONJ
ajsts-2912	35	13	generalisation	generalisation	NOUN
ajsts-2912	35	14	of	of	ADP
ajsts-2912	35	15	machine	machine	NOUN
ajsts-2912	35	16	learning	learning	NOUN
ajsts-2912	35	17	models	model	NOUN
ajsts-2912	35	18	in	in	ADP
ajsts-2912	35	19	the	the	DET
ajsts-2912	35	20	internet	internet	NOUN
ajsts-2912	35	21	of	of	ADP
ajsts-2912	35	22	things	thing	NOUN
ajsts-2912	35	23	applications	application	NOUN
ajsts-2912	35	24	by	by	ADP
ajsts-2912	35	25	assessing	assess	VERB
ajsts-2912	35	26	these	these	DET
ajsts-2912	35	27	methods	method	NOUN
ajsts-2912	35	28	’	'	PUNCT
ajsts-2912	35	29	effectiveness	effectiveness	NOUN
ajsts-2912	35	30	on	on	ADP
ajsts-2912	35	31	various	various	ADJ
ajsts-2912	35	32	iot	iot	ADJ
ajsts-2912	35	33	datasets	dataset	NOUN
ajsts-2912	35	34	.	.	PUNCT
ajsts-2912	36	1	this	this	DET
ajsts-2912	36	2	‘	'	PUNCT
ajsts-2912	36	3	study	study	NOUN
ajsts-2912	36	4	’s	’s	PART
ajsts-2912	36	5	goal	goal	NOUN
ajsts-2912	36	6	was	be	AUX
ajsts-2912	36	7	to	to	PART
ajsts-2912	36	8	advance	advance	VERB
ajsts-2912	36	9	state	state	NOUN
ajsts-2912	36	10	-	-	PUNCT
ajsts-2912	36	11	of	of	ADP
ajsts-2912	36	12	-	-	PUNCT
ajsts-2912	36	13	the	the	DET
ajsts-2912	36	14	-	-	PUNCT
ajsts-2912	36	15	art	art	NOUN
ajsts-2912	36	16	iot	iot	NOUN
ajsts-2912	36	17	data	datum	NOUN
ajsts-2912	36	18	analysis	analysis	NOUN
ajsts-2912	36	19	and	and	CCONJ
ajsts-2912	36	20	make	make	VERB
ajsts-2912	36	21	it	it	PRON
ajsts-2912	36	22	easier	easy	ADJ
ajsts-2912	36	23	to	to	PART
ajsts-2912	36	24	create	create	VERB
ajsts-2912	36	25	more	more	ADV
ajsts-2912	36	26	durable	durable	ADJ
ajsts-2912	36	27	and	and	CCONJ
ajsts-2912	36	28	trustworthy	trustworthy	ADJ
ajsts-2912	36	29	predictive	predictive	ADJ
ajsts-2912	36	30	models	model	NOUN
ajsts-2912	36	31	for	for	ADP
ajsts-2912	36	32	practical	practical	ADJ
ajsts-2912	36	33	iot	iot	ADJ
ajsts-2912	36	34	scenarios	scenario	NOUN
ajsts-2912	36	35	by	by	ADP
ajsts-2912	36	36	offering	offer	VERB
ajsts-2912	36	37	insights	insight	NOUN
ajsts-2912	36	38	into	into	ADP
ajsts-2912	36	39	the	the	DET
ajsts-2912	36	40	selection	selection	NOUN
ajsts-2912	36	41	and	and	CCONJ
ajsts-2912	36	42	application	application	NOUN
ajsts-2912	36	43	of	of	ADP
ajsts-2912	36	44	resampling	resample	VERB
ajsts-2912	36	45	techniques	technique	NOUN
ajsts-2912	36	46	designed	design	VERB
ajsts-2912	36	47	to	to	PART
ajsts-2912	36	48	address	address	VERB
ajsts-2912	36	49	class	class	NOUN
ajsts-2912	36	50	imbalance	imbalance	NOUN
ajsts-2912	36	51	in	in	ADP
ajsts-2912	36	52	iot	iot	ADJ
ajsts-2912	36	53	datasets	dataset	NOUN
ajsts-2912	36	54	(	(	PUNCT
ajsts-2912	36	55	obaid	obaid	PROPN
ajsts-2912	36	56	&	&	CCONJ
ajsts-2912	36	57	nassif	nassif	PROPN
ajsts-2912	36	58	,	,	PUNCT
ajsts-2912	36	59	.2022	.2022	PROPN
ajsts-2912	36	60	;	;	PUNCT
ajsts-2912	36	61	paisitkriangkrai	paisitkriangkrai	PROPN
ajsts-2912	36	62	et	et	PROPN
ajsts-2912	36	63	al	al	PROPN
ajsts-2912	36	64	.	.	PROPN
ajsts-2912	36	65	,	,	PUNCT
ajsts-2912	36	66	2013	2013	NUM
ajsts-2912	36	67	;	;	PUNCT
ajsts-2912	36	68	wang	wang	PROPN
ajsts-2912	36	69	&	&	CCONJ
ajsts-2912	36	70	yao	yao	PROPN
ajsts-2912	36	71	,	,	PUNCT
ajsts-2912	36	72	.2012	.2012	PROPN
ajsts-2912	36	73	)	)	PUNCT
ajsts-2912	36	74	.	.	PUNCT
ajsts-2912	37	1	literature	literature	NOUN
ajsts-2912	37	2	review	review	PROPN
ajsts-2912	37	3	introduction	introduction	NOUN
ajsts-2912	37	4	to	to	ADP
ajsts-2912	37	5	internet	internet	NOUN
ajsts-2912	37	6	of	of	ADP
ajsts-2912	37	7	things	thing	NOUN
ajsts-2912	37	8	the	the	DET
ajsts-2912	37	9	internet	internet	NOUN
ajsts-2912	37	10	of	of	ADP
ajsts-2912	37	11	things	thing	NOUN
ajsts-2912	37	12	(	(	PUNCT
ajsts-2912	37	13	iot	iot	NOUN
ajsts-2912	37	14	)	)	PUNCT
ajsts-2912	37	15	is	be	AUX
ajsts-2912	37	16	a	a	DET
ajsts-2912	37	17	rapidly	rapidly	ADV
ajsts-2912	37	18	evolving	evolve	VERB
ajsts-2912	37	19	technology	technology	NOUN
ajsts-2912	37	20	that	that	PRON
ajsts-2912	37	21	uses	use	VERB
ajsts-2912	37	22	processing	processing	NOUN
ajsts-2912	37	23	power	power	NOUN
ajsts-2912	37	24	,	,	PUNCT
ajsts-2912	37	25	downsized	downsize	VERB
ajsts-2912	37	26	electronics	electronic	NOUN
ajsts-2912	37	27	,	,	PUNCT
ajsts-2912	37	28	and	and	CCONJ
ajsts-2912	37	29	networking	network	VERB
ajsts-2912	37	30	links	link	NOUN
ajsts-2912	37	31	to	to	PART
ajsts-2912	37	32	connect	connect	VERB
ajsts-2912	37	33	devices	device	NOUN
ajsts-2912	37	34	and	and	CCONJ
ajsts-2912	37	35	systems	system	NOUN
ajsts-2912	37	36	(	(	PUNCT
ajsts-2912	37	37	kumar	kumar	PROPN
ajsts-2912	37	38	et	et	PROPN
ajsts-2912	37	39	al	al	PROPN
ajsts-2912	37	40	.	.	PROPN
ajsts-2912	37	41	,	,	PUNCT
ajsts-2912	37	42	2021	2021	NUM
ajsts-2912	37	43	)	)	PUNCT
ajsts-2912	37	44	.	.	PUNCT
ajsts-2912	38	1	it	it	PRON
ajsts-2912	38	2	has	have	AUX
ajsts-2912	38	3	sparked	spark	VERB
ajsts-2912	38	4	debates	debate	NOUN
ajsts-2912	38	5	on	on	ADP
ajsts-2912	38	6	various	various	ADJ
ajsts-2912	38	7	aspects	aspect	NOUN
ajsts-2912	38	8	,	,	PUNCT
ajsts-2912	38	9	including	include	VERB
ajsts-2912	38	10	opportunities	opportunity	NOUN
ajsts-2912	38	11	for	for	ADP
ajsts-2912	38	12	new	new	ADJ
ajsts-2912	38	13	companies	company	NOUN
ajsts-2912	38	14	,	,	PUNCT
ajsts-2912	38	15	security	security	NOUN
ajsts-2912	38	16	,	,	PUNCT
ajsts-2912	38	17	privacy	privacy	NOUN
ajsts-2912	38	18	,	,	PUNCT
ajsts-2912	38	19	compatibility	compatibility	NOUN
ajsts-2912	38	20	,	,	PUNCT
ajsts-2912	38	21	and	and	CCONJ
ajsts-2912	38	22	international	international	ADJ
ajsts-2912	38	23	ecosystem	ecosystem	NOUN
ajsts-2912	38	24	.	.	PUNCT
ajsts-2912	39	1	the	the	DET
ajsts-2912	39	2	iot	iot	PROPN
ajsts-2912	39	3	will	will	AUX
ajsts-2912	39	4	impact	impact	VERB
ajsts-2912	39	5	various	various	ADJ
ajsts-2912	39	6	aspects	aspect	NOUN
ajsts-2912	39	7	of	of	ADP
ajsts-2912	39	8	life	life	NOUN
ajsts-2912	39	9	,	,	PUNCT
ajsts-2912	39	10	including	include	VERB
ajsts-2912	39	11	elders	elder	NOUN
ajsts-2912	39	12	,	,	PUNCT
ajsts-2912	39	13	consumers	consumer	NOUN
ajsts-2912	39	14	,	,	PUNCT
ajsts-2912	39	15	and	and	CCONJ
ajsts-2912	39	16	healthcare	healthcare	NOUN
ajsts-2912	39	17	providers	provider	NOUN
ajsts-2912	39	18	(	(	PUNCT
ajsts-2912	39	19	pal	pal	NOUN
ajsts-2912	39	20	et	et	PROPN
ajsts-2912	39	21	al	al	PROPN
ajsts-2912	39	22	.	.	PROPN
ajsts-2912	39	23	,	,	PUNCT
ajsts-2912	39	24	2018	2018	NUM
ajsts-2912	39	25	)	)	PUNCT
ajsts-2912	39	26	.	.	PUNCT
ajsts-2912	40	1	to	to	PART
ajsts-2912	40	2	ensure	ensure	VERB
ajsts-2912	40	3	energy	energy	NOUN
ajsts-2912	40	4	savings	saving	NOUN
ajsts-2912	40	5	and	and	CCONJ
ajsts-2912	40	6	elasticity	elasticity	NOUN
ajsts-2912	40	7	,	,	PUNCT
ajsts-2912	40	8	iot	iot	PROPN
ajsts-2912	40	9	devices	device	NOUN
ajsts-2912	40	10	like	like	ADP
ajsts-2912	40	11	smart	smart	ADJ
ajsts-2912	40	12	home	home	NOUN
ajsts-2912	40	13	appliances	appliance	NOUN
ajsts-2912	40	14	need	need	VERB
ajsts-2912	40	15	authentication	authentication	NOUN
ajsts-2912	40	16	and	and	CCONJ
ajsts-2912	40	17	optimization	optimization	NOUN
ajsts-2912	40	18	of	of	ADP
ajsts-2912	40	19	energy	energy	NOUN
ajsts-2912	40	20	consumption	consumption	NOUN
ajsts-2912	40	21	.	.	PUNCT
ajsts-2912	41	1	this	this	DET
ajsts-2912	41	2	technology	technology	NOUN
ajsts-2912	41	3	has	have	VERB
ajsts-2912	41	4	the	the	DET
ajsts-2912	41	5	potential	potential	NOUN
ajsts-2912	41	6	to	to	PART
ajsts-2912	41	7	revolutionize	revolutionize	VERB
ajsts-2912	41	8	various	various	ADJ
ajsts-2912	41	9	aspects	aspect	NOUN
ajsts-2912	41	10	of	of	ADP
ajsts-2912	41	11	our	our	PRON
ajsts-2912	41	12	lives	life	NOUN
ajsts-2912	41	13	(	(	PUNCT
ajsts-2912	41	14	powroźnik	powroźnik	X
ajsts-2912	41	15	et	et	PROPN
ajsts-2912	41	16	al	al	PROPN
ajsts-2912	41	17	.	.	PROPN
ajsts-2912	41	18	,	,	PUNCT
ajsts-2912	41	19	2021	2021	NUM
ajsts-2912	41	20	)	)	PUNCT
ajsts-2912	41	21	.	.	PUNCT
ajsts-2912	42	1	personal	personal	ADJ
ajsts-2912	42	2	iot	iot	PROPN
ajsts-2912	42	3	devices	device	NOUN
ajsts-2912	42	4	,	,	PUNCT
ajsts-2912	42	5	such	such	ADJ
ajsts-2912	42	6	as	as	ADP
ajsts-2912	42	7	wearable	wearable	ADJ
ajsts-2912	42	8	fitness	fitness	NOUN
ajsts-2912	42	9	and	and	CCONJ
ajsts-2912	42	10	health	health	NOUN
ajsts-2912	42	11	monitoring	monitoring	NOUN
ajsts-2912	42	12	devices	device	NOUN
ajsts-2912	42	13	,	,	PUNCT
ajsts-2912	42	14	are	be	AUX
ajsts-2912	42	15	also	also	ADV
ajsts-2912	42	16	expected	expect	VERB
ajsts-2912	42	17	to	to	PART
ajsts-2912	42	18	improve	improve	VERB
ajsts-2912	42	19	independence	independence	NOUN
ajsts-2912	42	20	and	and	CCONJ
ajsts-2912	42	21	quality	quality	NOUN
ajsts-2912	42	22	of	of	ADP
ajsts-2912	42	23	life	life	NOUN
ajsts-2912	42	24	for	for	ADP
ajsts-2912	42	25	people	people	NOUN
ajsts-2912	42	26	with	with	ADP
ajsts-2912	42	27	disabilities	disability	NOUN
ajsts-2912	42	28	and	and	CCONJ
ajsts-2912	42	29	the	the	DET
ajsts-2912	42	30	elderly	elderly	ADJ
ajsts-2912	42	31	(	(	PUNCT
ajsts-2912	42	32	khodadadi	khodadadi	PROPN
ajsts-2912	42	33	et	et	PROPN
ajsts-2912	42	34	al	al	PROPN
ajsts-2912	42	35	.	.	PROPN
ajsts-2912	42	36	,	,	PUNCT
ajsts-2912	42	37	2016	2016	NUM
ajsts-2912	42	38	)	)	PUNCT
ajsts-2912	42	39	.	.	PUNCT
ajsts-2912	43	1	iot	iot	PROPN
ajsts-2912	43	2	systems	system	NOUN
ajsts-2912	43	3	,	,	PUNCT
ajsts-2912	43	4	such	such	ADJ
ajsts-2912	43	5	as	as	ADP
ajsts-2912	43	6	networked	networked	ADJ
ajsts-2912	43	7	vehicles	vehicle	NOUN
ajsts-2912	43	8	and	and	CCONJ
ajsts-2912	43	9	intelligent	intelligent	ADJ
ajsts-2912	43	10	traffic	traffic	NOUN
ajsts-2912	43	11	systems	system	NOUN
ajsts-2912	43	12	,	,	PUNCT
ajsts-2912	43	13	are	be	AUX
ajsts-2912	43	14	moving	move	VERB
ajsts-2912	43	15	towards	towards	ADP
ajsts-2912	43	16	smart	smart	ADJ
ajsts-2912	43	17	cities	city	NOUN
ajsts-2912	43	18	,	,	PUNCT
ajsts-2912	43	19	reducing	reduce	VERB
ajsts-2912	43	20	congestion	congestion	NOUN
ajsts-2912	43	21	and	and	CCONJ
ajsts-2912	43	22	energy	energy	NOUN
ajsts-2912	43	23	consumption	consumption	NOUN
ajsts-2912	43	24	.	.	PUNCT
ajsts-2912	44	1	however	however	ADV
ajsts-2912	44	2	,	,	PUNCT
ajsts-2912	44	3	iot	iot	PROPN
ajsts-2912	44	4	also	also	ADV
ajsts-2912	44	5	presents	present	VERB
ajsts-2912	44	6	challenges	challenge	NOUN
ajsts-2912	44	7	that	that	PRON
ajsts-2912	44	8	need	need	VERB
ajsts-2912	44	9	to	to	PART
ajsts-2912	44	10	be	be	AUX
ajsts-2912	44	11	addressed	address	VERB
ajsts-2912	44	12	for	for	ADP
ajsts-2912	44	13	potential	potential	ADJ
ajsts-2912	44	14	benefits	benefit	NOUN
ajsts-2912	44	15	to	to	PART
ajsts-2912	44	16	be	be	AUX
ajsts-2912	44	17	realized	realize	VERB
ajsts-2912	44	18	(	(	PUNCT
ajsts-2912	44	19	rose	rise	VERB
ajsts-2912	44	20	et	et	PROPN
ajsts-2912	44	21	al	al	PROPN
ajsts-2912	44	22	.	.	PROPN
ajsts-2912	44	23	,	,	PUNCT
ajsts-2912	44	24	2015	2015	NUM
ajsts-2912	44	25	)	)	PUNCT
ajsts-2912	44	26	.	.	PUNCT
ajsts-2912	45	1	class	class	NOUN
ajsts-2912	45	2	imbalance	imbalance	NOUN
ajsts-2912	45	3	in	in	ADP
ajsts-2912	45	4	machine	machine	NOUN
ajsts-2912	45	5	learning	learn	VERB
ajsts-2912	45	6	one	one	NUM
ajsts-2912	45	7	of	of	ADP
ajsts-2912	45	8	the	the	DET
ajsts-2912	45	9	significant	significant	ADJ
ajsts-2912	45	10	challenges	challenge	NOUN
ajsts-2912	45	11	associated	associate	VERB
ajsts-2912	45	12	with	with	ADP
ajsts-2912	45	13	iot	iot	PROPN
ajsts-2912	45	14	is	be	AUX
ajsts-2912	45	15	managing	manage	VERB
ajsts-2912	45	16	the	the	DET
ajsts-2912	45	17	vast	vast	ADJ
ajsts-2912	45	18	amounts	amount	NOUN
ajsts-2912	45	19	of	of	ADP
ajsts-2912	45	20	data	datum	NOUN
ajsts-2912	45	21	generated	generate	VERB
ajsts-2912	45	22	by	by	ADP
ajsts-2912	45	23	these	these	DET
ajsts-2912	45	24	devices	device	NOUN
ajsts-2912	45	25	,	,	PUNCT
ajsts-2912	45	26	which	which	PRON
ajsts-2912	45	27	often	often	ADV
ajsts-2912	45	28	leads	lead	VERB
ajsts-2912	45	29	to	to	ADP
ajsts-2912	45	30	class	class	NOUN
ajsts-2912	45	31	imbalance	imbalance	NOUN
ajsts-2912	45	32	in	in	ADP
ajsts-2912	45	33	machine	machine	NOUN
ajsts-2912	45	34	learning	learn	VERB
ajsts-2912	45	35	applications	application	NOUN
ajsts-2912	45	36	.	.	PUNCT
ajsts-2912	46	1	in	in	ADP
ajsts-2912	46	2	machine	machine	NOUN
ajsts-2912	46	3	learning	learning	NOUN
ajsts-2912	46	4	,	,	PUNCT
ajsts-2912	46	5	class	class	NOUN
ajsts-2912	46	6	imbalance	imbalance	NOUN
ajsts-2912	46	7	is	be	AUX
ajsts-2912	46	8	a	a	DET
ajsts-2912	46	9	widespread	widespread	ADJ
ajsts-2912	46	10	problem	problem	NOUN
ajsts-2912	46	11	that	that	PRON
ajsts-2912	46	12	impacts	impact	VERB
ajsts-2912	46	13	several	several	ADJ
ajsts-2912	46	14	industries	industry	NOUN
ajsts-2912	46	15	,	,	PUNCT
ajsts-2912	46	16	such	such	ADJ
ajsts-2912	46	17	as	as	ADP
ajsts-2912	46	18	cybersecurity	cybersecurity	NOUN
ajsts-2912	46	19	,	,	PUNCT
ajsts-2912	46	20	finance	finance	NOUN
ajsts-2912	46	21	,	,	PUNCT
ajsts-2912	46	22	and	and	CCONJ
ajsts-2912	46	23	healthcare	healthcare	NOUN
ajsts-2912	46	24	(	(	PUNCT
ajsts-2912	46	25	dogra	dogra	PROPN
ajsts-2912	46	26	et	et	PROPN
ajsts-2912	46	27	al	al	PROPN
ajsts-2912	46	28	.	.	PROPN
ajsts-2912	46	29	,	,	PUNCT
ajsts-2912	46	30	2022	2022	NUM
ajsts-2912	46	31	)	)	PUNCT
ajsts-2912	46	32	.	.	PUNCT
ajsts-2912	47	1	class	class	NOUN
ajsts-2912	47	2	imbalance	imbalance	NOUN
ajsts-2912	47	3	is	be	AUX
ajsts-2912	47	4	a	a	DET
ajsts-2912	47	5	major	major	ADJ
ajsts-2912	47	6	difficulty	difficulty	NOUN
ajsts-2912	47	7	in	in	ADP
ajsts-2912	47	8	iot	iot	NOUN
ajsts-2912	47	9	because	because	SCONJ
ajsts-2912	47	10	data	datum	NOUN
ajsts-2912	47	11	collecting	collecting	NOUN
ajsts-2912	47	12	is	be	AUX
ajsts-2912	47	13	naturally	naturally	ADV
ajsts-2912	47	14	biased	bias	VERB
ajsts-2912	47	15	towards	towards	ADP
ajsts-2912	47	16	typical	typical	ADJ
ajsts-2912	47	17	operational	operational	ADJ
ajsts-2912	47	18	conditions	condition	NOUN
ajsts-2912	47	19	(	(	PUNCT
ajsts-2912	47	20	zhou	zhou	X
ajsts-2912	47	21	et	et	PROPN
ajsts-2912	47	22	al	al	PROPN
ajsts-2912	47	23	.	.	PROPN
ajsts-2912	47	24	,	,	PUNCT
ajsts-2912	47	25	2022	2022	NUM
ajsts-2912	47	26	)	)	PUNCT
ajsts-2912	47	27	.	.	PUNCT
ajsts-2912	48	1	imbalanced	imbalanced	ADJ
ajsts-2912	48	2	datasets	dataset	NOUN
ajsts-2912	48	3	are	be	AUX
ajsts-2912	48	4	those	those	PRON
ajsts-2912	48	5	where	where	SCONJ
ajsts-2912	48	6	one	one	NUM
ajsts-2912	48	7	of	of	ADP
ajsts-2912	48	8	two	two	NUM
ajsts-2912	48	9	possible	possible	ADJ
ajsts-2912	48	10	outcomes	outcome	NOUN
ajsts-2912	48	11	is	be	AUX
ajsts-2912	48	12	rare	rare	ADJ
ajsts-2912	48	13	(	(	PUNCT
ajsts-2912	48	14	tyagi	tyagi	PROPN
ajsts-2912	48	15	&	&	CCONJ
ajsts-2912	48	16	mittal	mittal	PROPN
ajsts-2912	48	17	,	,	PUNCT
ajsts-2912	48	18	2020	2020	NUM
ajsts-2912	48	19	)	)	PUNCT
ajsts-2912	48	20	.	.	PUNCT
ajsts-2912	49	1	a	a	DET
ajsts-2912	49	2	classification	classification	NOUN
ajsts-2912	49	3	model	model	NOUN
ajsts-2912	49	4	’s	’s	PART
ajsts-2912	49	5	performance	performance	NOUN
ajsts-2912	49	6	depends	depend	VERB
ajsts-2912	49	7	on	on	ADP
ajsts-2912	49	8	the	the	DET
ajsts-2912	49	9	training	training	NOUN
ajsts-2912	49	10	dataset	dataset	NOUN
ajsts-2912	49	11	’s	’s	PART
ajsts-2912	49	12	quality	quality	NOUN
ajsts-2912	49	13	and	and	CCONJ
ajsts-2912	49	14	quantity	quantity	NOUN
ajsts-2912	49	15	(	(	PUNCT
ajsts-2912	49	16	hanskunatai	hanskunatai	NOUN
ajsts-2912	49	17	,	,	PUNCT
ajsts-2912	49	18	2018	2018	NUM
ajsts-2912	49	19	)	)	PUNCT
ajsts-2912	49	20	.	.	PUNCT
ajsts-2912	50	1	in	in	ADP
ajsts-2912	50	2	imbalanced	imbalanced	ADJ
ajsts-2912	50	3	datasets	dataset	NOUN
ajsts-2912	50	4	with	with	ADP
ajsts-2912	50	5	two	two	NUM
ajsts-2912	50	6	-	-	PUNCT
ajsts-2912	50	7	valued	value	VERB
ajsts-2912	50	8	classes	class	NOUN
ajsts-2912	50	9	,	,	PUNCT
ajsts-2912	50	10	accuracy	accuracy	NOUN
ajsts-2912	50	11	may	may	AUX
ajsts-2912	50	12	not	not	PART
ajsts-2912	50	13	clearly	clearly	ADV
ajsts-2912	50	14	represent	represent	VERB
ajsts-2912	50	15	classification	classification	NOUN
ajsts-2912	50	16	results	result	NOUN
ajsts-2912	50	17	.	.	PUNCT
ajsts-2912	51	1	in	in	ADP
ajsts-2912	51	2	applications	application	NOUN
ajsts-2912	51	3	like	like	ADP
ajsts-2912	51	4	disease	disease	NOUN
ajsts-2912	51	5	detection	detection	NOUN
ajsts-2912	51	6	and	and	CCONJ
ajsts-2912	51	7	intrusion	intrusion	NOUN
ajsts-2912	51	8	detection	detection	NOUN
ajsts-2912	51	9	,	,	PUNCT
ajsts-2912	51	10	it	it	PRON
ajsts-2912	51	11	is	be	AUX
ajsts-2912	51	12	more	more	ADV
ajsts-2912	51	13	important	important	ADJ
ajsts-2912	51	14	to	to	PART
ajsts-2912	51	15	correctly	correctly	ADV
ajsts-2912	51	16	predict	predict	VERB
ajsts-2912	51	17	the	the	DET
ajsts-2912	51	18	minority	minority	NOUN
ajsts-2912	51	19	class	class	NOUN
ajsts-2912	51	20	(	(	PUNCT
ajsts-2912	51	21	tyagi	tyagi	PROPN
ajsts-2912	51	22	&	&	CCONJ
ajsts-2912	51	23	mittal	mittal	PROPN
ajsts-2912	51	24	,	,	PUNCT
ajsts-2912	51	25	.2020	.2020	PROPN
ajsts-2912	51	26	)	)	PUNCT
ajsts-2912	51	27	.	.	PUNCT
ajsts-2912	52	1	the	the	DET
ajsts-2912	52	2	very	very	ADV
ajsts-2912	52	3	visible	visible	ADJ
ajsts-2912	52	4	presence	presence	NOUN
ajsts-2912	52	5	of	of	ADP
ajsts-2912	52	6	a	a	DET
ajsts-2912	52	7	class	class	NOUN
ajsts-2912	52	8	imbalance	imbalance	NOUN
ajsts-2912	52	9	is	be	AUX
ajsts-2912	52	10	depicted	depict	VERB
ajsts-2912	52	11	in	in	ADP
ajsts-2912	52	12	figure	figure	NOUN
ajsts-2912	52	13	1	1	NUM
ajsts-2912	52	14	.	.	PUNCT
ajsts-2912	52	15	class	class	NOUN
ajsts-2912	52	16	imbalance	imbalance	NOUN
ajsts-2912	52	17	presents	present	VERB
ajsts-2912	52	18	particular	particular	ADJ
ajsts-2912	52	19	difficulties	difficulty	NOUN
ajsts-2912	52	20	in	in	ADP
ajsts-2912	52	21	the	the	DET
ajsts-2912	52	22	iot	iot	NOUN
ajsts-2912	52	23	because	because	SCONJ
ajsts-2912	52	24	of	of	ADP
ajsts-2912	52	25	the	the	DET
ajsts-2912	52	26	type	type	NOUN
ajsts-2912	52	27	of	of	ADP
ajsts-2912	52	28	data	datum	NOUN
ajsts-2912	52	29	that	that	PRON
ajsts-2912	52	30	iot	iot	PROPN
ajsts-2912	52	31	devices	device	NOUN
ajsts-2912	52	32	and	and	CCONJ
ajsts-2912	52	33	sensor	sensor	NOUN
ajsts-2912	52	34	networks	network	NOUN
ajsts-2912	52	35	produce	produce	VERB
ajsts-2912	52	36	(	(	PUNCT
ajsts-2912	52	37	ullah	ullah	PROPN
ajsts-2912	52	38	&	&	CCONJ
ajsts-2912	52	39	mahmoud	mahmoud	PROPN
ajsts-2912	52	40	,	,	PUNCT
ajsts-2912	52	41	2021	2021	NUM
ajsts-2912	52	42	)	)	PUNCT
ajsts-2912	52	43	.	.	PUNCT
ajsts-2912	53	1	figure	figure	VERB
ajsts-2912	53	2	1	1	NUM
ajsts-2912	53	3	:	:	PUNCT
ajsts-2912	53	4	class	class	NOUN
ajsts-2912	53	5	imbalance	imbalance	NOUN
ajsts-2912	53	6	among	among	ADP
ajsts-2912	53	7	different	different	ADJ
ajsts-2912	53	8	datasets	dataset	NOUN
ajsts-2912	53	9	source	source	NOUN
ajsts-2912	53	10	:	:	PUNCT
ajsts-2912	53	11	author	author	NOUN
ajsts-2912	53	12	class	class	NOUN
ajsts-2912	53	13	imbalance	imbalance	NOUN
ajsts-2912	53	14	in	in	ADP
ajsts-2912	53	15	iot	iot	ADJ
ajsts-2912	53	16	information	information	NOUN
ajsts-2912	53	17	has	have	AUX
ajsts-2912	53	18	been	be	AUX
ajsts-2912	53	19	studied	study	VERB
ajsts-2912	53	20	,	,	PUNCT
ajsts-2912	53	21	especially	especially	ADV
ajsts-2912	53	22	in	in	ADP
ajsts-2912	53	23	applications	application	NOUN
ajsts-2912	53	24	for	for	ADP
ajsts-2912	53	25	environmental	environmental	ADJ
ajsts-2912	53	26	monitoring	monitoring	NOUN
ajsts-2912	53	27	,	,	PUNCT
ajsts-2912	53	28	predictive	predictive	ADJ
ajsts-2912	53	29	maintenance	maintenance	NOUN
ajsts-2912	53	30	,	,	PUNCT
ajsts-2912	53	31	and	and	CCONJ
ajsts-2912	53	32	anomaly	anomaly	NOUN
ajsts-2912	53	33	detection	detection	NOUN
ajsts-2912	53	34	(	(	PUNCT
ajsts-2912	53	35	coelho	coelho	NOUN
ajsts-2912	53	36	et	et	PROPN
ajsts-2912	53	37	al	al	PROPN
ajsts-2912	53	38	.	.	PROPN
ajsts-2912	53	39	,	,	PUNCT
ajsts-2912	53	40	2022	2022	NUM
ajsts-2912	53	41	;	;	PUNCT
ajsts-2912	53	42	fahim	fahim	PROPN
ajsts-2912	53	43	&	&	CCONJ
ajsts-2912	53	44	sillitti	sillitti	PROPN
ajsts-2912	53	45	,	,	PUNCT
ajsts-2912	53	46	2019	2019	NUM
ajsts-2912	53	47	)	)	PUNCT
ajsts-2912	53	48	.	.	PUNCT
ajsts-2912	54	1	according	accord	VERB
ajsts-2912	54	2	to	to	ADP
ajsts-2912	54	3	certain	certain	ADJ
ajsts-2912	54	4	studies	study	NOUN
ajsts-2912	54	5	,	,	PUNCT
ajsts-2912	54	6	undersampling	undersampling	ADJ
ajsts-2912	54	7	strategies	strategy	NOUN
ajsts-2912	54	8	might	might	AUX
ajsts-2912	54	9	exclude	exclude	VERB
ajsts-2912	54	10	important	important	ADJ
ajsts-2912	54	11	information	information	NOUN
ajsts-2912	54	12	from	from	ADP
ajsts-2912	54	13	the	the	DET
ajsts-2912	54	14	majority	majority	NOUN
ajsts-2912	54	15	class	class	NOUN
ajsts-2912	54	16	,	,	PUNCT
ajsts-2912	54	17	while	while	SCONJ
ajsts-2912	54	18	oversampling	oversample	VERB
ajsts-2912	54	19	could	could	AUX
ajsts-2912	54	20	cause	cause	VERB
ajsts-2912	54	21	overfitting	overfitte	VERB
ajsts-2912	54	22	or	or	CCONJ
ajsts-2912	54	23	injecting	inject	VERB
ajsts-2912	54	24	noise	noise	NOUN
ajsts-2912	54	25	into	into	ADP
ajsts-2912	54	26	the	the	DET
ajsts-2912	54	27	data	datum	NOUN
ajsts-2912	54	28	(	(	PUNCT
ajsts-2912	54	29	koziarski	koziarski	ADJ
ajsts-2912	54	30	et	et	PROPN
ajsts-2912	54	31	al	al	PROPN
ajsts-2912	54	32	.	.	PROPN
ajsts-2912	54	33	,	,	PUNCT
ajsts-2912	54	34	.2019	.2019	PROPN
ajsts-2912	54	35	;	;	PUNCT
ajsts-2912	54	36	sáez	sáez	PROPN
ajsts-2912	54	37	et	et	PROPN
ajsts-2912	54	38	al	al	PROPN
ajsts-2912	54	39	.	.	PROPN
ajsts-2912	54	40	,	,	PUNCT
ajsts-2912	54	41	2016	2016	NUM
ajsts-2912	54	42	)	)	PUNCT
ajsts-2912	54	43	.	.	PUNCT
ajsts-2912	55	1	to	to	PART
ajsts-2912	55	2	address	address	VERB
ajsts-2912	55	3	class	class	PROPN
ajsts-2912	55	4	pa	pa	PROPN
ajsts-2912	55	5	ge	ge	PROPN
ajsts-2912	55	6	18	18	NUM
ajsts-2912	55	7	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	55	8	am	be	AUX
ajsts-2912	55	9	.	.	PUNCT
ajsts-2912	56	1	j.	j.	PROPN
ajsts-2912	56	2	smart	smart	PROPN
ajsts-2912	56	3	.	.	PUNCT
ajsts-2912	57	1	technol	technol	PROPN
ajsts-2912	57	2	.	.	PUNCT
ajsts-2912	57	3	solutions	solution	NOUN
ajsts-2912	57	4	4(1	4(1	NOUN
ajsts-2912	57	5	)	)	PUNCT
ajsts-2912	57	6	16	16	NUM
ajsts-2912	57	7	-	-	SYM
ajsts-2912	57	8	24	24	NUM
ajsts-2912	57	9	,	,	PUNCT
ajsts-2912	57	10	2025	2025	NUM
ajsts-2912	57	11	imbalance	imbalance	NOUN
ajsts-2912	57	12	issues	issue	NOUN
ajsts-2912	57	13	in	in	ADP
ajsts-2912	57	14	machine	machine	NOUN
ajsts-2912	57	15	learning	learning	NOUN
ajsts-2912	57	16	,	,	PUNCT
ajsts-2912	57	17	the	the	DET
ajsts-2912	57	18	dataset	dataset	NOUN
ajsts-2912	57	19	itself	itself	PRON
ajsts-2912	57	20	or	or	CCONJ
ajsts-2912	57	21	the	the	DET
ajsts-2912	57	22	learning	learn	VERB
ajsts-2912	57	23	methods	method	NOUN
ajsts-2912	57	24	of	of	ADP
ajsts-2912	57	25	the	the	DET
ajsts-2912	57	26	underlying	underlie	VERB
ajsts-2912	57	27	algorithm	algorithm	NOUN
ajsts-2912	57	28	can	can	AUX
ajsts-2912	57	29	be	be	AUX
ajsts-2912	57	30	tuned	tune	VERB
ajsts-2912	57	31	.	.	PUNCT
ajsts-2912	58	1	handling	handle	VERB
ajsts-2912	58	2	approaches	approach	NOUN
ajsts-2912	58	3	at	at	ADP
ajsts-2912	58	4	the	the	DET
ajsts-2912	58	5	algorithm	algorithm	NOUN
ajsts-2912	58	6	level	level	NOUN
ajsts-2912	58	7	,	,	PUNCT
ajsts-2912	58	8	approaches	approach	NOUN
ajsts-2912	58	9	like	like	ADP
ajsts-2912	58	10	ada	ada	PROPN
ajsts-2912	58	11	boosting	boosting	PROPN
ajsts-2912	58	12	,	,	PUNCT
ajsts-2912	58	13	mapping	mapping	NOUN
ajsts-2912	58	14	,	,	PUNCT
ajsts-2912	58	15	and	and	CCONJ
ajsts-2912	58	16	cost	cost	NOUN
ajsts-2912	58	17	-	-	PUNCT
ajsts-2912	58	18	sensitive	sensitive	ADJ
ajsts-2912	58	19	learning	learning	NOUN
ajsts-2912	58	20	can	can	AUX
ajsts-2912	58	21	be	be	AUX
ajsts-2912	58	22	used	use	VERB
ajsts-2912	58	23	to	to	PART
ajsts-2912	58	24	tune	tune	VERB
ajsts-2912	58	25	the	the	DET
ajsts-2912	58	26	classifier	classifier	NOUN
ajsts-2912	58	27	’s	’s	PART
ajsts-2912	58	28	results	result	NOUN
ajsts-2912	58	29	.	.	PUNCT
ajsts-2912	59	1	data	datum	NOUN
ajsts-2912	59	2	level	level	NOUN
ajsts-2912	59	3	-	-	PUNCT
ajsts-2912	59	4	based	base	VERB
ajsts-2912	59	5	imbalance	imbalance	NOUN
ajsts-2912	59	6	handling	handling	NOUN
ajsts-2912	59	7	involves	involve	VERB
ajsts-2912	59	8	equating	equate	VERB
ajsts-2912	59	9	the	the	DET
ajsts-2912	59	10	occurrence	occurrence	NOUN
ajsts-2912	59	11	of	of	ADP
ajsts-2912	59	12	both	both	DET
ajsts-2912	59	13	classes	class	NOUN
ajsts-2912	59	14	algorithmically	algorithmically	ADV
ajsts-2912	59	15	to	to	PART
ajsts-2912	59	16	improve	improve	VERB
ajsts-2912	59	17	the	the	DET
ajsts-2912	59	18	imbalance	imbalance	NOUN
ajsts-2912	59	19	ratio	ratio	NOUN
ajsts-2912	59	20	(	(	PUNCT
ajsts-2912	59	21	tyagi	tyagi	PROPN
ajsts-2912	59	22	&	&	CCONJ
ajsts-2912	59	23	mittal	mittal	PROPN
ajsts-2912	59	24	,	,	PUNCT
ajsts-2912	59	25	2020	2020	NUM
ajsts-2912	59	26	)	)	PUNCT
ajsts-2912	59	27	.	.	PUNCT
ajsts-2912	60	1	several	several	ADJ
ajsts-2912	60	2	studies	study	NOUN
ajsts-2912	60	3	have	have	AUX
ajsts-2912	60	4	looked	look	VERB
ajsts-2912	60	5	into	into	ADP
ajsts-2912	60	6	ways	way	NOUN
ajsts-2912	60	7	to	to	PART
ajsts-2912	60	8	address	address	VERB
ajsts-2912	60	9	the	the	DET
ajsts-2912	60	10	class	class	NOUN
ajsts-2912	60	11	disparity	disparity	NOUN
ajsts-2912	60	12	,	,	PUNCT
ajsts-2912	60	13	and	and	CCONJ
ajsts-2912	60	14	resampling	resample	VERB
ajsts-2912	60	15	techniques	technique	NOUN
ajsts-2912	60	16	have	have	AUX
ajsts-2912	60	17	become	become	VERB
ajsts-2912	60	18	prominent	prominent	ADJ
ajsts-2912	60	19	approaches	approach	NOUN
ajsts-2912	60	20	.	.	PUNCT
ajsts-2912	61	1	by	by	ADP
ajsts-2912	61	2	creating	create	VERB
ajsts-2912	61	3	synthetic	synthetic	ADJ
ajsts-2912	61	4	samples	sample	NOUN
ajsts-2912	61	5	,	,	PUNCT
ajsts-2912	61	6	oversampling	oversample	VERB
ajsts-2912	61	7	techniques	technique	NOUN
ajsts-2912	61	8	like	like	ADP
ajsts-2912	61	9	adaptive	adaptive	ADJ
ajsts-2912	61	10	synthetic	synthetic	ADJ
ajsts-2912	61	11	sampling	sampling	NOUN
ajsts-2912	61	12	(	(	PUNCT
ajsts-2912	61	13	adasyn	adasyn	PROPN
ajsts-2912	61	14	)	)	PUNCT
ajsts-2912	61	15	and	and	CCONJ
ajsts-2912	61	16	synthetic	synthetic	ADJ
ajsts-2912	61	17	minority	minority	NOUN
ajsts-2912	61	18	over	over	ADP
ajsts-2912	61	19	-	-	PUNCT
ajsts-2912	61	20	sampling	sample	VERB
ajsts-2912	61	21	technique	technique	NOUN
ajsts-2912	61	22	(	(	PUNCT
ajsts-2912	61	23	smote	smote	NOUN
ajsts-2912	61	24	)	)	PUNCT
ajsts-2912	61	25	seek	seek	VERB
ajsts-2912	61	26	to	to	PART
ajsts-2912	61	27	boost	boost	VERB
ajsts-2912	61	28	the	the	DET
ajsts-2912	61	29	representation	representation	NOUN
ajsts-2912	61	30	of	of	ADP
ajsts-2912	61	31	minority	minority	NOUN
ajsts-2912	61	32	class	class	NOUN
ajsts-2912	61	33	instances	instance	NOUN
ajsts-2912	61	34	(	(	PUNCT
ajsts-2912	61	35	huang	huang	PROPN
ajsts-2912	61	36	,	,	PUNCT
ajsts-2912	61	37	2015	2015	NUM
ajsts-2912	61	38	;	;	PUNCT
ajsts-2912	61	39	tarawneh	tarawneh	PROPN
ajsts-2912	61	40	et	et	PROPN
ajsts-2912	61	41	al	al	PROPN
ajsts-2912	61	42	.	.	PROPN
ajsts-2912	61	43	,	,	PUNCT
ajsts-2912	61	44	.2020	.2020	PROPN
ajsts-2912	61	45	)	)	PUNCT
ajsts-2912	61	46	.	.	PUNCT
ajsts-2912	62	1	to	to	ADP
ajsts-2912	62	2	rebalance	rebalance	NOUN
ajsts-2912	62	3	class	class	NOUN
ajsts-2912	62	4	distributions	distribution	NOUN
ajsts-2912	62	5	,	,	PUNCT
ajsts-2912	62	6	under	under	ADV
ajsts-2912	62	7	-	-	PUNCT
ajsts-2912	62	8	sampling	sample	VERB
ajsts-2912	62	9	techniques	technique	NOUN
ajsts-2912	62	10	,	,	PUNCT
ajsts-2912	62	11	on	on	ADP
ajsts-2912	62	12	the	the	DET
ajsts-2912	62	13	other	other	ADJ
ajsts-2912	62	14	hand	hand	NOUN
ajsts-2912	62	15	,	,	PUNCT
ajsts-2912	62	16	require	require	VERB
ajsts-2912	62	17	lowering	lower	VERB
ajsts-2912	62	18	the	the	DET
ajsts-2912	62	19	quantity	quantity	NOUN
ajsts-2912	62	20	of	of	ADP
ajsts-2912	62	21	majority	majority	NOUN
ajsts-2912	62	22	class	class	NOUN
ajsts-2912	62	23	samples	sample	NOUN
ajsts-2912	62	24	(	(	PUNCT
ajsts-2912	62	25	abdi	abdi	PROPN
ajsts-2912	62	26	&	&	CCONJ
ajsts-2912	62	27	hashemi	hashemi	PROPN
ajsts-2912	62	28	,	,	PUNCT
ajsts-2912	62	29	.2015	.2015	PROPN
ajsts-2912	62	30	)	)	PUNCT
ajsts-2912	62	31	.	.	PUNCT
ajsts-2912	63	1	in	in	ADP
ajsts-2912	63	2	order	order	NOUN
ajsts-2912	63	3	to	to	PART
ajsts-2912	63	4	produce	produce	VERB
ajsts-2912	63	5	a	a	DET
ajsts-2912	63	6	balanced	balanced	ADJ
ajsts-2912	63	7	dataset	dataset	NOUN
ajsts-2912	63	8	,	,	PUNCT
ajsts-2912	63	9	hybrid	hybrid	ADJ
ajsts-2912	63	10	approaches	approach	NOUN
ajsts-2912	63	11	use	use	VERB
ajsts-2912	63	12	both	both	CCONJ
ajsts-2912	63	13	under	under	ADV
ajsts-2912	63	14	-	-	PUNCT
ajsts-2912	63	15	sampling	sample	VERB
ajsts-2912	63	16	and	and	CCONJ
ajsts-2912	63	17	oversampling	oversampling	ADJ
ajsts-2912	63	18	methods	method	NOUN
ajsts-2912	63	19	.	.	PUNCT
ajsts-2912	64	1	several	several	ADJ
ajsts-2912	64	2	machine	machine	NOUN
ajsts-2912	64	3	learning	learning	NOUN
ajsts-2912	64	4	methods	method	NOUN
ajsts-2912	64	5	may	may	AUX
ajsts-2912	64	6	be	be	AUX
ajsts-2912	64	7	used	use	VERB
ajsts-2912	64	8	to	to	PART
ajsts-2912	64	9	create	create	VERB
ajsts-2912	64	10	predictive	predictive	ADJ
ajsts-2912	64	11	data	datum	NOUN
ajsts-2912	64	12	models	model	NOUN
ajsts-2912	64	13	.	.	PUNCT
ajsts-2912	65	1	the	the	DET
ajsts-2912	65	2	model	model	NOUN
ajsts-2912	65	3	’s	’s	PART
ajsts-2912	65	4	accuracy	accuracy	NOUN
ajsts-2912	65	5	depends	depend	VERB
ajsts-2912	65	6	on	on	ADP
ajsts-2912	65	7	how	how	SCONJ
ajsts-2912	65	8	well	well	ADV
ajsts-2912	65	9	it	it	PRON
ajsts-2912	65	10	can	can	AUX
ajsts-2912	65	11	identify	identify	VERB
ajsts-2912	65	12	the	the	DET
ajsts-2912	65	13	positive	positive	ADJ
ajsts-2912	65	14	class	class	NOUN
ajsts-2912	65	15	and	and	CCONJ
ajsts-2912	65	16	how	how	SCONJ
ajsts-2912	65	17	well	well	ADV
ajsts-2912	65	18	it	it	PRON
ajsts-2912	65	19	can	can	AUX
ajsts-2912	65	20	predict	predict	VERB
ajsts-2912	65	21	a	a	DET
ajsts-2912	65	22	negative	negative	ADJ
ajsts-2912	65	23	class	class	NOUN
ajsts-2912	65	24	(	(	PUNCT
ajsts-2912	65	25	fisher	fisher	PROPN
ajsts-2912	65	26	et	et	PROPN
ajsts-2912	65	27	al	al	PROPN
ajsts-2912	65	28	.	.	PROPN
ajsts-2912	65	29	,	,	PUNCT
ajsts-2912	65	30	2019	2019	NUM
ajsts-2912	65	31	)	)	PUNCT
ajsts-2912	65	32	.	.	PUNCT
ajsts-2912	66	1	the	the	DET
ajsts-2912	66	2	categorisation	categorisation	NOUN
ajsts-2912	66	3	rate	rate	NOUN
ajsts-2912	66	4	of	of	ADP
ajsts-2912	66	5	the	the	DET
ajsts-2912	66	6	two	two	NUM
ajsts-2912	66	7	classes	class	NOUN
ajsts-2912	66	8	mentioned	mention	VERB
ajsts-2912	66	9	above	above	ADV
ajsts-2912	66	10	has	have	AUX
ajsts-2912	66	11	been	be	AUX
ajsts-2912	66	12	verified	verify	VERB
ajsts-2912	66	13	,	,	PUNCT
ajsts-2912	66	14	even	even	ADV
ajsts-2912	66	15	if	if	SCONJ
ajsts-2912	66	16	a	a	DET
ajsts-2912	66	17	model	model	NOUN
ajsts-2912	66	18	provides	provide	VERB
ajsts-2912	66	19	90	90	NUM
ajsts-2912	66	20	%	%	NOUN
ajsts-2912	66	21	accuracy	accuracy	NOUN
ajsts-2912	66	22	.	.	PUNCT
ajsts-2912	67	1	unbalanced	unbalanced	ADJ
ajsts-2912	67	2	data	data	NOUN
ajsts-2912	67	3	sets	set	NOUN
ajsts-2912	67	4	can	can	AUX
ajsts-2912	67	5	cause	cause	VERB
ajsts-2912	67	6	skewed	skewed	ADJ
ajsts-2912	67	7	proportions	proportion	NOUN
ajsts-2912	67	8	between	between	ADP
ajsts-2912	67	9	groups	group	NOUN
ajsts-2912	67	10	,	,	PUNCT
ajsts-2912	67	11	necessitating	necessitate	VERB
ajsts-2912	67	12	preprocessing	preprocesse	VERB
ajsts-2912	67	13	sample	sample	NOUN
ajsts-2912	67	14	techniques	technique	NOUN
ajsts-2912	67	15	,	,	PUNCT
ajsts-2912	67	16	algorithmic	algorithmic	ADJ
ajsts-2912	67	17	approaches	approach	NOUN
ajsts-2912	67	18	,	,	PUNCT
ajsts-2912	67	19	or	or	CCONJ
ajsts-2912	67	20	a	a	DET
ajsts-2912	67	21	bot	bot	NOUN
ajsts-2912	67	22	to	to	PART
ajsts-2912	67	23	shift	shift	VERB
ajsts-2912	67	24	the	the	DET
ajsts-2912	67	25	model	model	NOUN
ajsts-2912	67	26	for	for	ADP
ajsts-2912	67	27	sustainable	sustainable	ADJ
ajsts-2912	67	28	analysis	analysis	NOUN
ajsts-2912	67	29	.	.	PUNCT
ajsts-2912	68	1	adasyn	adasyn	PROPN
ajsts-2912	68	2	,	,	PUNCT
ajsts-2912	68	3	cosen	cosen	NOUN
ajsts-2912	68	4	modelling	modelling	NOUN
ajsts-2912	68	5	,	,	PUNCT
ajsts-2912	68	6	smote	smote	VERB
ajsts-2912	68	7	,	,	PUNCT
ajsts-2912	68	8	underand	underand	NOUN
ajsts-2912	68	9	over	over	ADP
ajsts-2912	68	10	-	-	PUNCT
ajsts-2912	68	11	sampling	sampling	NOUN
ajsts-2912	68	12	,	,	PUNCT
ajsts-2912	68	13	and	and	CCONJ
ajsts-2912	68	14	smote	smote	NOUN
ajsts-2912	68	15	have	have	AUX
ajsts-2912	68	16	been	be	AUX
ajsts-2912	68	17	commonly	commonly	ADV
ajsts-2912	68	18	used	use	VERB
ajsts-2912	68	19	solutions	solution	NOUN
ajsts-2912	68	20	.	.	PUNCT
ajsts-2912	69	1	a	a	DET
ajsts-2912	69	2	balanced	balanced	ADJ
ajsts-2912	69	3	dataset	dataset	NOUN
ajsts-2912	69	4	was	be	AUX
ajsts-2912	69	5	produced	produce	VERB
ajsts-2912	69	6	by	by	ADP
ajsts-2912	69	7	undersampling	undersample	VERB
ajsts-2912	69	8	,	,	PUNCT
ajsts-2912	69	9	which	which	PRON
ajsts-2912	69	10	removes	remove	VERB
ajsts-2912	69	11	the	the	DET
ajsts-2912	69	12	sample	sample	NOUN
ajsts-2912	69	13	of	of	ADP
ajsts-2912	69	14	the	the	DET
ajsts-2912	69	15	dominant	dominant	ADJ
ajsts-2912	69	16	class	class	NOUN
ajsts-2912	69	17	.	.	PUNCT
ajsts-2912	70	1	the	the	DET
ajsts-2912	70	2	loss	loss	NOUN
ajsts-2912	70	3	of	of	ADP
ajsts-2912	70	4	important	important	ADJ
ajsts-2912	70	5	information	information	NOUN
ajsts-2912	70	6	was	be	AUX
ajsts-2912	70	7	ascribed	ascribe	VERB
ajsts-2912	70	8	to	to	ADP
ajsts-2912	70	9	the	the	DET
ajsts-2912	70	10	dataset	dataset	NOUN
ajsts-2912	70	11	’s	’s	PART
ajsts-2912	70	12	undersampling	undersample	VERB
ajsts-2912	70	13	.	.	PUNCT
ajsts-2912	71	1	conversely	conversely	ADV
ajsts-2912	71	2	,	,	PUNCT
ajsts-2912	71	3	oversampling	oversample	VERB
ajsts-2912	71	4	attempted	attempt	VERB
ajsts-2912	71	5	to	to	PART
ajsts-2912	71	6	balance	balance	VERB
ajsts-2912	71	7	the	the	DET
ajsts-2912	71	8	dataset	dataset	NOUN
ajsts-2912	71	9	by	by	ADP
ajsts-2912	71	10	making	make	VERB
ajsts-2912	71	11	duplicates	duplicate	NOUN
ajsts-2912	71	12	of	of	ADP
ajsts-2912	71	13	the	the	DET
ajsts-2912	71	14	pre	pre	ADJ
ajsts-2912	71	15	-	-	ADJ
ajsts-2912	71	16	existing	exist	VERB
ajsts-2912	71	17	dataset	dataset	NOUN
ajsts-2912	71	18	.	.	PUNCT
ajsts-2912	72	1	it	it	PRON
ajsts-2912	72	2	could	could	AUX
ajsts-2912	72	3	be	be	AUX
ajsts-2912	72	4	arbitrary	arbitrary	ADJ
ajsts-2912	72	5	duplicates	duplicate	NOUN
ajsts-2912	72	6	of	of	ADP
ajsts-2912	72	7	the	the	DET
ajsts-2912	72	8	data	datum	NOUN
ajsts-2912	72	9	subset	subset	VERB
ajsts-2912	72	10	.	.	PUNCT
ajsts-2912	72	11	,	,	PUNCT
ajsts-2912	72	12	leading	lead	VERB
ajsts-2912	72	13	to	to	ADP
ajsts-2912	72	14	overfitting	overfitting	NOUN
ajsts-2912	72	15	of	of	ADP
ajsts-2912	72	16	the	the	DET
ajsts-2912	72	17	model	model	NOUN
ajsts-2912	72	18	,	,	PUNCT
ajsts-2912	72	19	which	which	PRON
ajsts-2912	72	20	is	be	AUX
ajsts-2912	72	21	often	often	ADV
ajsts-2912	72	22	computationally	computationally	ADV
ajsts-2912	72	23	costly	costly	ADJ
ajsts-2912	72	24	.	.	PUNCT
ajsts-2912	73	1	instead	instead	ADV
ajsts-2912	73	2	of	of	ADP
ajsts-2912	73	3	adding	add	VERB
ajsts-2912	73	4	new	new	ADJ
ajsts-2912	73	5	data	datum	NOUN
ajsts-2912	73	6	samples	sample	NOUN
ajsts-2912	73	7	to	to	ADP
ajsts-2912	73	8	the	the	DET
ajsts-2912	73	9	minority	minority	NOUN
ajsts-2912	73	10	class	class	NOUN
ajsts-2912	73	11	or	or	CCONJ
ajsts-2912	73	12	replacing	replace	VERB
ajsts-2912	73	13	the	the	DET
ajsts-2912	73	14	current	current	ADJ
ajsts-2912	73	15	samples	sample	NOUN
ajsts-2912	73	16	,	,	PUNCT
ajsts-2912	73	17	the	the	DET
ajsts-2912	73	18	smote	smote	NOUN
ajsts-2912	73	19	-	-	PUNCT
ajsts-2912	73	20	based	base	VERB
ajsts-2912	73	21	approach	approach	NOUN
ajsts-2912	73	22	artificially	artificially	ADV
ajsts-2912	73	23	produces	produce	VERB
ajsts-2912	73	24	the	the	DET
ajsts-2912	73	25	sample	sample	NOUN
ajsts-2912	73	26	data	datum	NOUN
ajsts-2912	73	27	.	.	PUNCT
ajsts-2912	74	1	the	the	DET
ajsts-2912	74	2	smote	smote	NOUN
ajsts-2912	74	3	-	-	PUNCT
ajsts-2912	74	4	based	base	VERB
ajsts-2912	74	5	method	method	NOUN
ajsts-2912	74	6	faces	face	VERB
ajsts-2912	74	7	a	a	DET
ajsts-2912	74	8	problem	problem	NOUN
ajsts-2912	74	9	due	due	ADP
ajsts-2912	74	10	to	to	ADP
ajsts-2912	74	11	the	the	DET
ajsts-2912	74	12	undesirable	undesirable	ADJ
ajsts-2912	74	13	addition	addition	NOUN
ajsts-2912	74	14	of	of	ADP
ajsts-2912	74	15	noise	noise	NOUN
ajsts-2912	74	16	to	to	ADP
ajsts-2912	74	17	the	the	DET
ajsts-2912	74	18	dataset	dataset	NOUN
ajsts-2912	74	19	.	.	PUNCT
ajsts-2912	75	1	the	the	DET
ajsts-2912	75	2	study	study	NOUN
ajsts-2912	75	3	has	have	AUX
ajsts-2912	75	4	focused	focus	VERB
ajsts-2912	75	5	on	on	ADP
ajsts-2912	75	6	adding	add	VERB
ajsts-2912	75	7	knowledge	knowledge	NOUN
ajsts-2912	75	8	on	on	ADP
ajsts-2912	75	9	class	class	NOUN
ajsts-2912	75	10	imbalance	imbalance	NOUN
ajsts-2912	75	11	mitigation	mitigation	NOUN
ajsts-2912	75	12	in	in	ADP
ajsts-2912	75	13	iot	iot	PROPN
ajsts-2912	75	14	data	datum	NOUN
ajsts-2912	75	15	analysis	analysis	NOUN
ajsts-2912	75	16	by	by	ADP
ajsts-2912	75	17	comparing	compare	VERB
ajsts-2912	75	18	resampling	resample	VERB
ajsts-2912	75	19	approaches	approach	NOUN
ajsts-2912	75	20	in	in	ADP
ajsts-2912	75	21	iot	iot	ADJ
ajsts-2912	75	22	datasets	dataset	NOUN
ajsts-2912	75	23	.	.	PUNCT
ajsts-2912	76	1	advancements	advancement	NOUN
ajsts-2912	76	2	in	in	ADP
ajsts-2912	76	3	iot	iot	PROPN
ajsts-2912	76	4	data	datum	NOUN
ajsts-2912	76	5	analytics	analytic	NOUN
ajsts-2912	76	6	have	have	AUX
ajsts-2912	76	7	created	create	VERB
ajsts-2912	76	8	more	more	ADV
ajsts-2912	76	9	durable	durable	ADJ
ajsts-2912	76	10	and	and	CCONJ
ajsts-2912	76	11	scalable	scalable	ADJ
ajsts-2912	76	12	iot	iot	NOUN
ajsts-2912	76	13	systems	system	NOUN
ajsts-2912	76	14	.	.	PUNCT
ajsts-2912	77	1	the	the	DET
ajsts-2912	77	2	study	study	NOUN
ajsts-2912	77	3	aims	aim	VERB
ajsts-2912	77	4	to	to	PART
ajsts-2912	77	5	identify	identify	VERB
ajsts-2912	77	6	practical	practical	ADJ
ajsts-2912	77	7	approaches	approach	NOUN
ajsts-2912	77	8	for	for	ADP
ajsts-2912	77	9	enhancing	enhance	VERB
ajsts-2912	77	10	the	the	DET
ajsts-2912	77	11	performance	performance	NOUN
ajsts-2912	77	12	and	and	CCONJ
ajsts-2912	77	13	dependability	dependability	NOUN
ajsts-2912	77	14	of	of	ADP
ajsts-2912	77	15	machine	machine	NOUN
ajsts-2912	77	16	learning	learning	NOUN
ajsts-2912	77	17	models	model	NOUN
ajsts-2912	77	18	used	use	VERB
ajsts-2912	77	19	in	in	ADP
ajsts-2912	77	20	iot	iot	ADJ
ajsts-2912	77	21	applications	application	NOUN
ajsts-2912	77	22	through	through	ADP
ajsts-2912	77	23	empirical	empirical	ADJ
ajsts-2912	77	24	evaluation	evaluation	NOUN
ajsts-2912	77	25	and	and	CCONJ
ajsts-2912	77	26	methodical	methodical	ADJ
ajsts-2912	77	27	comparison	comparison	NOUN
ajsts-2912	77	28	.	.	PUNCT
ajsts-2912	78	1	research	research	NOUN
ajsts-2912	78	2	methodology	methodology	NOUN
ajsts-2912	78	3	this	this	DET
ajsts-2912	78	4	research	research	NOUN
ajsts-2912	78	5	has	have	AUX
ajsts-2912	78	6	extensively	extensively	ADV
ajsts-2912	78	7	utilised	utilise	VERB
ajsts-2912	78	8	an	an	DET
ajsts-2912	78	9	experimental	experimental	ADJ
ajsts-2912	78	10	design	design	NOUN
ajsts-2912	78	11	to	to	PART
ajsts-2912	78	12	comprehensively	comprehensively	ADV
ajsts-2912	78	13	contrast	contrast	VERB
ajsts-2912	78	14	resampling	resample	VERB
ajsts-2912	78	15	techniques	technique	NOUN
ajsts-2912	78	16	that	that	PRON
ajsts-2912	78	17	were	be	AUX
ajsts-2912	78	18	applied	apply	VERB
ajsts-2912	78	19	to	to	PART
ajsts-2912	78	20	deal	deal	VERB
ajsts-2912	78	21	with	with	ADP
ajsts-2912	78	22	the	the	DET
ajsts-2912	78	23	problem	problem	NOUN
ajsts-2912	78	24	of	of	ADP
ajsts-2912	78	25	class	class	NOUN
ajsts-2912	78	26	imbalance	imbalance	NOUN
ajsts-2912	78	27	in	in	ADP
ajsts-2912	78	28	the	the	DET
ajsts-2912	78	29	presence	presence	NOUN
ajsts-2912	78	30	of	of	ADP
ajsts-2912	78	31	noise	noise	NOUN
ajsts-2912	78	32	data	datum	NOUN
ajsts-2912	78	33	.	.	PUNCT
ajsts-2912	79	1	by	by	ADP
ajsts-2912	79	2	leveraging	leverage	VERB
ajsts-2912	79	3	resampling	resample	VERB
ajsts-2912	79	4	methods	method	NOUN
ajsts-2912	79	5	alongside	alongside	ADP
ajsts-2912	79	6	comparative	comparative	ADJ
ajsts-2912	79	7	analysis	analysis	NOUN
ajsts-2912	79	8	,	,	PUNCT
ajsts-2912	79	9	the	the	DET
ajsts-2912	79	10	dataset	dataset	NOUN
ajsts-2912	79	11	was	be	AUX
ajsts-2912	79	12	divided	divide	VERB
ajsts-2912	79	13	into	into	ADP
ajsts-2912	79	14	two	two	NUM
ajsts-2912	79	15	subsets	subset	NOUN
ajsts-2912	79	16	:	:	PUNCT
ajsts-2912	79	17	a	a	DET
ajsts-2912	79	18	training	training	NOUN
ajsts-2912	79	19	dataset	dataset	VERB
ajsts-2912	79	20	through	through	ADP
ajsts-2912	79	21	which	which	PRON
ajsts-2912	79	22	the	the	DET
ajsts-2912	79	23	model	model	NOUN
ajsts-2912	79	24	was	be	AUX
ajsts-2912	79	25	trained	train	VERB
ajsts-2912	79	26	and	and	CCONJ
ajsts-2912	79	27	a	a	DET
ajsts-2912	79	28	testing	testing	NOUN
ajsts-2912	79	29	dataset	dataset	VERB
ajsts-2912	79	30	through	through	ADP
ajsts-2912	79	31	which	which	PRON
ajsts-2912	79	32	the	the	DET
ajsts-2912	79	33	performance	performance	NOUN
ajsts-2912	79	34	of	of	ADP
ajsts-2912	79	35	the	the	DET
ajsts-2912	79	36	model	model	NOUN
ajsts-2912	79	37	was	be	AUX
ajsts-2912	79	38	tested	test	VERB
ajsts-2912	79	39	.	.	PUNCT
ajsts-2912	80	1	this	this	DET
ajsts-2912	80	2	experimental	experimental	ADJ
ajsts-2912	80	3	setting	setting	NOUN
ajsts-2912	80	4	provided	provide	VERB
ajsts-2912	80	5	a	a	DET
ajsts-2912	80	6	systematic	systematic	ADJ
ajsts-2912	80	7	means	mean	NOUN
ajsts-2912	80	8	of	of	ADP
ajsts-2912	80	9	testing	test	VERB
ajsts-2912	80	10	the	the	DET
ajsts-2912	80	11	impact	impact	NOUN
ajsts-2912	80	12	of	of	ADP
ajsts-2912	80	13	various	various	ADJ
ajsts-2912	80	14	resampling	resample	VERB
ajsts-2912	80	15	schemes	scheme	NOUN
ajsts-2912	80	16	on	on	ADP
ajsts-2912	80	17	classifier	classifier	ADJ
ajsts-2912	80	18	performance	performance	NOUN
ajsts-2912	80	19	.	.	PUNCT
ajsts-2912	81	1	comparison	comparison	NOUN
ajsts-2912	81	2	of	of	ADP
ajsts-2912	81	3	rf	rf	NOUN
ajsts-2912	81	4	and	and	CCONJ
ajsts-2912	81	5	svc	svc	PROPN
ajsts-2912	81	6	classifiers	classifier	NOUN
ajsts-2912	81	7	the	the	DET
ajsts-2912	81	8	study	study	NOUN
ajsts-2912	81	9	includes	include	VERB
ajsts-2912	81	10	a	a	DET
ajsts-2912	81	11	comparative	comparative	ADJ
ajsts-2912	81	12	investigation	investigation	NOUN
ajsts-2912	81	13	of	of	ADP
ajsts-2912	81	14	base	base	NOUN
ajsts-2912	81	15	classifiers	classifier	NOUN
ajsts-2912	81	16	,	,	PUNCT
ajsts-2912	81	17	namely	namely	ADV
ajsts-2912	81	18	the	the	DET
ajsts-2912	81	19	random	random	ADJ
ajsts-2912	81	20	forest	forest	NOUN
ajsts-2912	81	21	classifier	classifier	NOUN
ajsts-2912	81	22	(	(	PUNCT
ajsts-2912	81	23	rf	rf	NOUN
ajsts-2912	81	24	)	)	PUNCT
ajsts-2912	81	25	and	and	CCONJ
ajsts-2912	81	26	the	the	DET
ajsts-2912	81	27	support	support	NOUN
ajsts-2912	81	28	vector	vector	NOUN
ajsts-2912	81	29	classifier	classifier	NOUN
ajsts-2912	81	30	(	(	PUNCT
ajsts-2912	81	31	svc	svc	PROPN
ajsts-2912	81	32	)	)	PUNCT
ajsts-2912	81	33	.	.	PUNCT
ajsts-2912	82	1	this	this	DET
ajsts-2912	82	2	comparison	comparison	NOUN
ajsts-2912	82	3	assesses	assess	VERB
ajsts-2912	82	4	their	their	PRON
ajsts-2912	82	5	effectiveness	effectiveness	NOUN
ajsts-2912	82	6	in	in	ADP
ajsts-2912	82	7	resolving	resolve	VERB
ajsts-2912	82	8	class	class	NOUN
ajsts-2912	82	9	disparity	disparity	NOUN
ajsts-2912	82	10	in	in	ADP
ajsts-2912	82	11	the	the	DET
ajsts-2912	82	12	context	context	NOUN
ajsts-2912	82	13	of	of	ADP
ajsts-2912	82	14	multi	multi	ADJ
ajsts-2912	82	15	-	-	ADJ
ajsts-2912	82	16	class	class	ADJ
ajsts-2912	82	17	issues	issue	NOUN
ajsts-2912	82	18	.	.	PUNCT
ajsts-2912	83	1	according	accord	VERB
ajsts-2912	83	2	to	to	ADP
ajsts-2912	83	3	the	the	DET
ajsts-2912	83	4	study	study	NOUN
ajsts-2912	83	5	’s	’s	PART
ajsts-2912	83	6	findings	finding	NOUN
ajsts-2912	83	7	,	,	PUNCT
ajsts-2912	83	8	the	the	DET
ajsts-2912	83	9	rf	rf	NOUN
ajsts-2912	83	10	classifier	classifier	NOUN
ajsts-2912	83	11	performs	perform	VERB
ajsts-2912	83	12	better	well	ADJ
ajsts-2912	83	13	than	than	ADP
ajsts-2912	83	14	other	other	ADJ
ajsts-2912	83	15	basic	basic	ADJ
ajsts-2912	83	16	classifiers	classifier	NOUN
ajsts-2912	83	17	in	in	ADP
ajsts-2912	83	18	reducing	reduce	VERB
ajsts-2912	83	19	the	the	DET
ajsts-2912	83	20	difficulties	difficulty	NOUN
ajsts-2912	83	21	caused	cause	VERB
ajsts-2912	83	22	by	by	ADP
ajsts-2912	83	23	class	class	NOUN
ajsts-2912	83	24	imbalance	imbalance	NOUN
ajsts-2912	83	25	in	in	ADP
ajsts-2912	83	26	multi	multi	ADJ
ajsts-2912	83	27	-	-	ADJ
ajsts-2912	83	28	class	class	ADJ
ajsts-2912	83	29	situations	situation	NOUN
ajsts-2912	83	30	.	.	PUNCT
ajsts-2912	84	1	the	the	DET
ajsts-2912	84	2	predictive	predictive	ADJ
ajsts-2912	84	3	model	model	NOUN
ajsts-2912	84	4	is	be	AUX
ajsts-2912	84	5	an	an	DET
ajsts-2912	84	6	rf	rf	NOUN
ajsts-2912	84	7	classifier	classifier	NOUN
ajsts-2912	84	8	because	because	SCONJ
ajsts-2912	84	9	of	of	ADP
ajsts-2912	84	10	its	its	PRON
ajsts-2912	84	11	solid	solid	ADJ
ajsts-2912	84	12	performance	performance	NOUN
ajsts-2912	84	13	history	history	NOUN
ajsts-2912	84	14	.	.	PUNCT
ajsts-2912	85	1	figure	figure	VERB
ajsts-2912	85	2	2	2	NUM
ajsts-2912	85	3	:	:	PUNCT
ajsts-2912	85	4	performance	performance	NOUN
ajsts-2912	85	5	evaluation	evaluation	NOUN
ajsts-2912	85	6	of	of	ADP
ajsts-2912	85	7	base	base	NOUN
ajsts-2912	85	8	classifiers	classifier	NOUN
ajsts-2912	85	9	on	on	ADP
ajsts-2912	85	10	the	the	DET
ajsts-2912	85	11	iot_modbus	iot_modbus	NOUN
ajsts-2912	85	12	dataset	dataset	VERB
ajsts-2912	85	13	pa	pa	PROPN
ajsts-2912	85	14	ge	ge	PROPN
ajsts-2912	85	15	19	19	NUM
ajsts-2912	85	16	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	85	17	am	be	AUX
ajsts-2912	85	18	.	.	PUNCT
ajsts-2912	86	1	j.	j.	PROPN
ajsts-2912	86	2	smart	smart	PROPN
ajsts-2912	86	3	.	.	PUNCT
ajsts-2912	87	1	technol	technol	PROPN
ajsts-2912	87	2	.	.	PUNCT
ajsts-2912	87	3	solutions	solution	NOUN
ajsts-2912	87	4	4(1	4(1	NOUN
ajsts-2912	87	5	)	)	PUNCT
ajsts-2912	87	6	16	16	NUM
ajsts-2912	87	7	-	-	SYM
ajsts-2912	87	8	24	24	NUM
ajsts-2912	87	9	,	,	PUNCT
ajsts-2912	87	10	2025	2025	NUM
ajsts-2912	87	11	dataset	dataset	NOUN
ajsts-2912	87	12	selection	selection	NOUN
ajsts-2912	87	13	in	in	ADP
ajsts-2912	87	14	selecting	select	VERB
ajsts-2912	87	15	specific	specific	ADJ
ajsts-2912	87	16	datasets	dataset	NOUN
ajsts-2912	87	17	for	for	ADP
ajsts-2912	87	18	this	this	DET
ajsts-2912	87	19	study	study	NOUN
ajsts-2912	87	20	,	,	PUNCT
ajsts-2912	87	21	various	various	ADJ
ajsts-2912	87	22	iot	iot	ADJ
ajsts-2912	87	23	datasets	dataset	NOUN
ajsts-2912	87	24	spanning	span	VERB
ajsts-2912	87	25	several	several	ADJ
ajsts-2912	87	26	application	application	NOUN
ajsts-2912	87	27	areas	area	NOUN
ajsts-2912	87	28	have	have	AUX
ajsts-2912	87	29	been	be	AUX
ajsts-2912	87	30	explored	explore	VERB
ajsts-2912	87	31	,	,	PUNCT
ajsts-2912	87	32	selecting	select	VERB
ajsts-2912	87	33	those	those	PRON
ajsts-2912	87	34	that	that	PRON
ajsts-2912	87	35	could	could	AUX
ajsts-2912	87	36	demonstrate	demonstrate	VERB
ajsts-2912	87	37	a	a	DET
ajsts-2912	87	38	substantial	substantial	ADJ
ajsts-2912	87	39	class	class	NOUN
ajsts-2912	87	40	imbalance	imbalance	NOUN
ajsts-2912	87	41	.	.	PUNCT
ajsts-2912	88	1	the	the	DET
ajsts-2912	88	2	main	main	ADJ
ajsts-2912	88	3	objective	objective	NOUN
ajsts-2912	88	4	of	of	ADP
ajsts-2912	88	5	the	the	DET
ajsts-2912	88	6	data	datum	NOUN
ajsts-2912	88	7	selection	selection	NOUN
ajsts-2912	88	8	process	process	NOUN
ajsts-2912	88	9	was	be	AUX
ajsts-2912	88	10	to	to	PART
ajsts-2912	88	11	ensure	ensure	VERB
ajsts-2912	88	12	a	a	DET
ajsts-2912	88	13	comprehensive	comprehensive	ADJ
ajsts-2912	88	14	analysis	analysis	NOUN
ajsts-2912	88	15	of	of	ADP
ajsts-2912	88	16	specific	specific	ADJ
ajsts-2912	88	17	datasets	dataset	NOUN
ajsts-2912	88	18	with	with	ADP
ajsts-2912	88	19	various	various	ADJ
ajsts-2912	88	20	attributes	attribute	NOUN
ajsts-2912	88	21	,	,	PUNCT
ajsts-2912	88	22	including	include	VERB
ajsts-2912	88	23	considering	consider	VERB
ajsts-2912	88	24	datasets	dataset	NOUN
ajsts-2912	88	25	of	of	ADP
ajsts-2912	88	26	various	various	ADJ
ajsts-2912	88	27	sizes	size	NOUN
ajsts-2912	88	28	,	,	PUNCT
ajsts-2912	88	29	imbalance	imbalance	NOUN
ajsts-2912	88	30	ratios	ratio	NOUN
ajsts-2912	88	31	,	,	PUNCT
ajsts-2912	88	32	and	and	CCONJ
ajsts-2912	88	33	feature	feature	NOUN
ajsts-2912	88	34	space	space	NOUN
ajsts-2912	88	35	dimensionality	dimensionality	NOUN
ajsts-2912	88	36	.	.	PUNCT
ajsts-2912	89	1	preprocessing	preprocesse	VERB
ajsts-2912	89	2	standard	standard	ADJ
ajsts-2912	89	3	data	datum	NOUN
ajsts-2912	89	4	preparation	preparation	NOUN
ajsts-2912	89	5	procedures	procedure	NOUN
ajsts-2912	89	6	have	have	AUX
ajsts-2912	89	7	been	be	AUX
ajsts-2912	89	8	implemented	implement	VERB
ajsts-2912	89	9	to	to	PART
ajsts-2912	89	10	ensure	ensure	VERB
ajsts-2912	89	11	the	the	DET
ajsts-2912	89	12	datasets	dataset	NOUN
ajsts-2912	89	13	are	be	AUX
ajsts-2912	89	14	appropriately	appropriately	ADV
ajsts-2912	89	15	cleaned	clean	VERB
ajsts-2912	89	16	,	,	PUNCT
ajsts-2912	89	17	normalised	normalise	VERB
ajsts-2912	89	18	,	,	PUNCT
ajsts-2912	89	19	and	and	CCONJ
ajsts-2912	89	20	subjected	subject	VERB
ajsts-2912	89	21	to	to	PART
ajsts-2912	89	22	feature	feature	VERB
ajsts-2912	89	23	engineering	engineering	NOUN
ajsts-2912	89	24	techniques	technique	NOUN
ajsts-2912	89	25	.	.	PUNCT
ajsts-2912	90	1	this	this	DET
ajsts-2912	90	2	process	process	NOUN
ajsts-2912	90	3	aims	aim	VERB
ajsts-2912	90	4	to	to	PART
ajsts-2912	90	5	enhance	enhance	VERB
ajsts-2912	90	6	data	datum	NOUN
ajsts-2912	90	7	quality	quality	NOUN
ajsts-2912	90	8	and	and	CCONJ
ajsts-2912	90	9	consistency	consistency	NOUN
ajsts-2912	90	10	by	by	ADP
ajsts-2912	90	11	effectively	effectively	ADV
ajsts-2912	90	12	addressing	address	VERB
ajsts-2912	90	13	noise	noise	NOUN
ajsts-2912	90	14	,	,	PUNCT
ajsts-2912	90	15	outliers	outlier	NOUN
ajsts-2912	90	16	,	,	PUNCT
ajsts-2912	90	17	and	and	CCONJ
ajsts-2912	90	18	missing	miss	VERB
ajsts-2912	90	19	values	value	NOUN
ajsts-2912	90	20	.	.	PUNCT
ajsts-2912	91	1	resampling	resample	VERB
ajsts-2912	91	2	strategies	strategy	NOUN
ajsts-2912	91	3	were	be	AUX
ajsts-2912	91	4	employed	employ	VERB
ajsts-2912	91	5	to	to	ADP
ajsts-2912	91	6	rebalance	rebalance	NOUN
ajsts-2912	91	7	class	class	NOUN
ajsts-2912	91	8	distributions	distribution	NOUN
ajsts-2912	91	9	within	within	ADP
ajsts-2912	91	10	the	the	DET
ajsts-2912	91	11	iot	iot	ADJ
ajsts-2912	91	12	datasets	dataset	NOUN
ajsts-2912	91	13	,	,	PUNCT
ajsts-2912	91	14	including	include	VERB
ajsts-2912	91	15	random	random	ADJ
ajsts-2912	91	16	under	under	NOUN
ajsts-2912	91	17	-	-	PUNCT
ajsts-2912	91	18	sampling	sample	VERB
ajsts-2912	91	19	and	and	CCONJ
ajsts-2912	91	20	oversampling	oversample	VERB
ajsts-2912	91	21	techniques	technique	NOUN
ajsts-2912	91	22	such	such	ADJ
ajsts-2912	91	23	as	as	ADP
ajsts-2912	91	24	smote	smote	ADJ
ajsts-2912	91	25	and	and	CCONJ
ajsts-2912	91	26	adasyn	adasyn	PROPN
ajsts-2912	91	27	.	.	PUNCT
ajsts-2912	92	1	by	by	ADP
ajsts-2912	92	2	generating	generate	VERB
ajsts-2912	92	3	balanced	balanced	ADJ
ajsts-2912	92	4	training	training	NOUN
ajsts-2912	92	5	sets	set	NOUN
ajsts-2912	92	6	through	through	ADP
ajsts-2912	92	7	resampling	resample	VERB
ajsts-2912	92	8	,	,	PUNCT
ajsts-2912	92	9	the	the	DET
ajsts-2912	92	10	models	model	NOUN
ajsts-2912	92	11	were	be	AUX
ajsts-2912	92	12	trained	train	VERB
ajsts-2912	92	13	and	and	CCONJ
ajsts-2912	92	14	evaluated	evaluate	VERB
ajsts-2912	92	15	more	more	ADV
ajsts-2912	92	16	effectively	effectively	ADV
ajsts-2912	92	17	,	,	PUNCT
ajsts-2912	92	18	mitigating	mitigate	VERB
ajsts-2912	92	19	the	the	DET
ajsts-2912	92	20	impact	impact	NOUN
ajsts-2912	92	21	of	of	ADP
ajsts-2912	92	22	class	class	NOUN
ajsts-2912	92	23	imbalance	imbalance	NOUN
ajsts-2912	92	24	and	and	CCONJ
ajsts-2912	92	25	improving	improve	VERB
ajsts-2912	92	26	the	the	DET
ajsts-2912	92	27	overall	overall	ADJ
ajsts-2912	92	28	performance	performance	NOUN
ajsts-2912	92	29	of	of	ADP
ajsts-2912	92	30	the	the	DET
ajsts-2912	92	31	predictive	predictive	ADJ
ajsts-2912	92	32	models	model	NOUN
ajsts-2912	92	33	.	.	PUNCT
ajsts-2912	93	1	selection	selection	NOUN
ajsts-2912	93	2	of	of	ADP
ajsts-2912	93	3	base	base	NOUN
ajsts-2912	93	4	classifier	classifier	NOUN
ajsts-2912	93	5	two	two	NUM
ajsts-2912	93	6	popular	popular	ADJ
ajsts-2912	93	7	svc	svc	NOUN
ajsts-2912	93	8	(	(	PUNCT
ajsts-2912	93	9	support	support	VERB
ajsts-2912	93	10	vector	vector	NOUN
ajsts-2912	93	11	classifier	classifier	NOUN
ajsts-2912	93	12	)	)	PUNCT
ajsts-2912	93	13	and	and	CCONJ
ajsts-2912	93	14	rf	rf	ADJ
ajsts-2912	93	15	(	(	PUNCT
ajsts-2912	93	16	random	random	ADJ
ajsts-2912	93	17	forest	forest	NOUN
ajsts-2912	93	18	classifier	classifier	NOUN
ajsts-2912	93	19	)	)	PUNCT
ajsts-2912	93	20	classifiers	classifier	NOUN
ajsts-2912	93	21	were	be	AUX
ajsts-2912	93	22	selected	select	VERB
ajsts-2912	93	23	for	for	ADP
ajsts-2912	93	24	the	the	DET
ajsts-2912	93	25	study	study	NOUN
ajsts-2912	93	26	.	.	PUNCT
ajsts-2912	94	1	however	however	ADV
ajsts-2912	94	2	,	,	PUNCT
ajsts-2912	94	3	the	the	DET
ajsts-2912	94	4	choice	choice	NOUN
ajsts-2912	94	5	of	of	ADP
ajsts-2912	94	6	specific	specific	ADJ
ajsts-2912	94	7	classifiers	classifier	NOUN
ajsts-2912	94	8	has	have	AUX
ajsts-2912	94	9	depended	depend	VERB
ajsts-2912	94	10	on	on	ADP
ajsts-2912	94	11	the	the	DET
ajsts-2912	94	12	specific	specific	ADJ
ajsts-2912	94	13	properties	property	NOUN
ajsts-2912	94	14	of	of	ADP
ajsts-2912	94	15	iot	iot	PROPN
ajsts-2912	94	16	data	datum	NOUN
ajsts-2912	94	17	and	and	CCONJ
ajsts-2912	94	18	its	its	PRON
ajsts-2912	94	19	function	function	NOUN
ajsts-2912	94	20	.	.	PUNCT
ajsts-2912	95	1	model	model	NOUN
ajsts-2912	95	2	training	training	NOUN
ajsts-2912	95	3	and	and	CCONJ
ajsts-2912	95	4	evaluation	evaluation	NOUN
ajsts-2912	95	5	the	the	DET
ajsts-2912	95	6	original	original	ADJ
ajsts-2912	95	7	unbalanced	unbalanced	ADJ
ajsts-2912	95	8	and	and	CCONJ
ajsts-2912	95	9	the	the	DET
ajsts-2912	95	10	resampled	resample	VERB
ajsts-2912	95	11	datasets	dataset	NOUN
ajsts-2912	95	12	have	have	AUX
ajsts-2912	95	13	been	be	AUX
ajsts-2912	95	14	utilised	utilise	VERB
ajsts-2912	95	15	to	to	PART
ajsts-2912	95	16	train	train	VERB
ajsts-2912	95	17	the	the	DET
ajsts-2912	95	18	csv	csv	NOUN
ajsts-2912	95	19	and	and	CCONJ
ajsts-2912	95	20	rf	rf	NOUN
ajsts-2912	95	21	classifiers	classifier	NOUN
ajsts-2912	95	22	.	.	PUNCT
ajsts-2912	96	1	stratified	stratify	VERB
ajsts-2912	96	2	cross	cross	NOUN
ajsts-2912	96	3	-	-	ADJ
ajsts-2912	96	4	validation	validation	NOUN
ajsts-2912	96	5	has	have	AUX
ajsts-2912	96	6	been	be	AUX
ajsts-2912	96	7	applied	apply	VERB
ajsts-2912	96	8	to	to	PART
ajsts-2912	96	9	ensure	ensure	VERB
ajsts-2912	96	10	unbiased	unbiased	ADJ
ajsts-2912	96	11	performance	performance	NOUN
ajsts-2912	96	12	evaluation	evaluation	NOUN
ajsts-2912	96	13	and	and	CCONJ
ajsts-2912	96	14	mitigate	mitigate	VERB
ajsts-2912	96	15	the	the	DET
ajsts-2912	96	16	impact	impact	NOUN
ajsts-2912	96	17	of	of	ADP
ajsts-2912	96	18	dataset	dataset	ADJ
ajsts-2912	96	19	imbalance	imbalance	NOUN
ajsts-2912	96	20	during	during	ADP
ajsts-2912	96	21	model	model	NOUN
ajsts-2912	96	22	assessment	assessment	NOUN
ajsts-2912	96	23	.	.	PUNCT
ajsts-2912	97	1	standard	standard	ADJ
ajsts-2912	97	2	assessment	assessment	NOUN
ajsts-2912	97	3	metrics	metric	NOUN
ajsts-2912	97	4	such	such	ADJ
ajsts-2912	97	5	as	as	ADP
ajsts-2912	97	6	roc	roc	PROPN
ajsts-2912	97	7	curve	curve	NOUN
ajsts-2912	97	8	(	(	PUNCT
ajsts-2912	97	9	auc	auc	NOUN
ajsts-2912	97	10	)	)	PUNCT
ajsts-2912	97	11	,	,	PUNCT
ajsts-2912	97	12	precision	precision	NOUN
ajsts-2912	97	13	,	,	PUNCT
ajsts-2912	97	14	recall	recall	NOUN
ajsts-2912	97	15	,	,	PUNCT
ajsts-2912	97	16	and	and	CCONJ
ajsts-2912	97	17	f1	f1	NOUN
ajsts-2912	97	18	-	-	PUNCT
ajsts-2912	97	19	score	score	NOUN
ajsts-2912	97	20	have	have	AUX
ajsts-2912	97	21	been	be	AUX
ajsts-2912	97	22	employed	employ	VERB
ajsts-2912	97	23	to	to	PART
ajsts-2912	97	24	evaluate	evaluate	VERB
ajsts-2912	97	25	the	the	DET
ajsts-2912	97	26	performance	performance	NOUN
ajsts-2912	97	27	of	of	ADP
ajsts-2912	97	28	each	each	DET
ajsts-2912	97	29	classifier	classifier	NOUN
ajsts-2912	97	30	.	.	PUNCT
ajsts-2912	98	1	additionally	additionally	ADV
ajsts-2912	98	2	,	,	PUNCT
ajsts-2912	98	3	the	the	DET
ajsts-2912	98	4	effectiveness	effectiveness	NOUN
ajsts-2912	98	5	of	of	ADP
ajsts-2912	98	6	svc	svc	PROPN
ajsts-2912	98	7	and	and	CCONJ
ajsts-2912	98	8	rf	rf	NOUN
ajsts-2912	98	9	classifiers	classifier	NOUN
ajsts-2912	98	10	in	in	ADP
ajsts-2912	98	11	handling	handle	VERB
ajsts-2912	98	12	class	class	NOUN
ajsts-2912	98	13	imbalance	imbalance	NOUN
ajsts-2912	98	14	within	within	ADP
ajsts-2912	98	15	the	the	DET
ajsts-2912	98	16	iot	iot	NOUN
ajsts-2912	98	17	datasets	dataset	NOUN
ajsts-2912	98	18	has	have	AUX
ajsts-2912	98	19	been	be	AUX
ajsts-2912	98	20	compared	compare	VERB
ajsts-2912	98	21	across	across	ADP
ajsts-2912	98	22	several	several	ADJ
ajsts-2912	98	23	resampling	resample	VERB
ajsts-2912	98	24	methods	method	NOUN
ajsts-2912	98	25	.	.	PUNCT
ajsts-2912	99	1	statistical	statistical	ADJ
ajsts-2912	99	2	analysis	analysis	NOUN
ajsts-2912	99	3	the	the	DET
ajsts-2912	99	4	performance	performance	NOUN
ajsts-2912	99	5	of	of	ADP
ajsts-2912	99	6	svc	svc	PROPN
ajsts-2912	99	7	and	and	CCONJ
ajsts-2912	99	8	rf	rf	NOUN
ajsts-2912	99	9	classifiers	classifier	NOUN
ajsts-2912	99	10	on	on	ADP
ajsts-2912	99	11	original	original	ADJ
ajsts-2912	99	12	and	and	CCONJ
ajsts-2912	99	13	resampled	resample	VERB
ajsts-2912	99	14	datasets	dataset	NOUN
ajsts-2912	99	15	has	have	AUX
ajsts-2912	99	16	been	be	AUX
ajsts-2912	99	17	evaluated	evaluate	VERB
ajsts-2912	99	18	by	by	ADP
ajsts-2912	99	19	statistical	statistical	ADJ
ajsts-2912	99	20	methods	method	NOUN
ajsts-2912	99	21	such	such	ADJ
ajsts-2912	99	22	as	as	ADP
ajsts-2912	99	23	t	t	NOUN
ajsts-2912	99	24	-	-	PUNCT
ajsts-2912	99	25	tests	test	NOUN
ajsts-2912	99	26	or	or	CCONJ
ajsts-2912	99	27	wilcoxon	wilcoxon	VERB
ajsts-2912	99	28	signed	sign	VERB
ajsts-2912	99	29	-	-	PUNCT
ajsts-2912	99	30	rank	rank	NOUN
ajsts-2912	99	31	tests	test	NOUN
ajsts-2912	99	32	.	.	PUNCT
ajsts-2912	100	1	the	the	DET
ajsts-2912	100	2	outcomes	outcome	NOUN
ajsts-2912	100	3	of	of	ADP
ajsts-2912	100	4	the	the	DET
ajsts-2912	100	5	statistical	statistical	ADJ
ajsts-2912	100	6	analysis	analysis	NOUN
ajsts-2912	100	7	were	be	AUX
ajsts-2912	100	8	performed	perform	VERB
ajsts-2912	100	9	to	to	PART
ajsts-2912	100	10	identify	identify	VERB
ajsts-2912	100	11	significant	significant	ADJ
ajsts-2912	100	12	variations	variation	NOUN
ajsts-2912	100	13	in	in	ADP
ajsts-2912	100	14	the	the	DET
ajsts-2912	100	15	performance	performance	NOUN
ajsts-2912	100	16	of	of	ADP
ajsts-2912	100	17	classifiers	classifier	NOUN
ajsts-2912	100	18	.	.	PUNCT
ajsts-2912	101	1	additionally	additionally	ADV
ajsts-2912	101	2	,	,	PUNCT
ajsts-2912	101	3	the	the	DET
ajsts-2912	101	4	analysis	analysis	NOUN
ajsts-2912	101	5	enabled	enable	VERB
ajsts-2912	101	6	the	the	DET
ajsts-2912	101	7	detection	detection	NOUN
ajsts-2912	101	8	of	of	ADP
ajsts-2912	101	9	how	how	SCONJ
ajsts-2912	101	10	resampling	resample	VERB
ajsts-2912	101	11	methods	method	NOUN
ajsts-2912	101	12	affect	affect	VERB
ajsts-2912	101	13	the	the	DET
ajsts-2912	101	14	performance	performance	NOUN
ajsts-2912	101	15	of	of	ADP
ajsts-2912	101	16	the	the	DET
ajsts-2912	101	17	classifiers	classifier	NOUN
ajsts-2912	101	18	.	.	PUNCT
ajsts-2912	102	1	sensitivity	sensitivity	NOUN
ajsts-2912	102	2	analysis	analysis	NOUN
ajsts-2912	102	3	sensitivity	sensitivity	NOUN
ajsts-2912	102	4	analysis	analysis	NOUN
ajsts-2912	102	5	has	have	AUX
ajsts-2912	102	6	been	be	AUX
ajsts-2912	102	7	employed	employ	VERB
ajsts-2912	102	8	to	to	PART
ajsts-2912	102	9	assess	assess	VERB
ajsts-2912	102	10	the	the	DET
ajsts-2912	102	11	resilience	resilience	NOUN
ajsts-2912	102	12	of	of	ADP
ajsts-2912	102	13	svc	svc	PROPN
ajsts-2912	102	14	and	and	CCONJ
ajsts-2912	102	15	rf	rf	PROPN
ajsts-2912	102	16	classifiers	classifier	NOUN
ajsts-2912	102	17	to	to	ADP
ajsts-2912	102	18	variations	variation	NOUN
ajsts-2912	102	19	in	in	ADP
ajsts-2912	102	20	dataset	dataset	ADJ
ajsts-2912	102	21	properties	property	NOUN
ajsts-2912	102	22	,	,	PUNCT
ajsts-2912	102	23	encompassing	encompass	VERB
ajsts-2912	102	24	changes	change	NOUN
ajsts-2912	102	25	in	in	ADP
ajsts-2912	102	26	feature	feature	NOUN
ajsts-2912	102	27	space	space	NOUN
ajsts-2912	102	28	dimensionality	dimensionality	NOUN
ajsts-2912	102	29	,	,	PUNCT
ajsts-2912	102	30	dataset	dataset	NOUN
ajsts-2912	102	31	size	size	NOUN
ajsts-2912	102	32	,	,	PUNCT
ajsts-2912	102	33	and	and	CCONJ
ajsts-2912	102	34	class	class	NOUN
ajsts-2912	102	35	imbalance	imbalance	NOUN
ajsts-2912	102	36	ratio	ratio	NOUN
ajsts-2912	102	37	.	.	PUNCT
ajsts-2912	103	1	by	by	ADP
ajsts-2912	103	2	systematically	systematically	ADV
ajsts-2912	103	3	varying	vary	VERB
ajsts-2912	103	4	these	these	DET
ajsts-2912	103	5	properties	property	NOUN
ajsts-2912	103	6	,	,	PUNCT
ajsts-2912	103	7	the	the	DET
ajsts-2912	103	8	study	study	NOUN
ajsts-2912	103	9	aimed	aim	VERB
ajsts-2912	103	10	to	to	PART
ajsts-2912	103	11	understand	understand	VERB
ajsts-2912	103	12	how	how	SCONJ
ajsts-2912	103	13	the	the	DET
ajsts-2912	103	14	classifiers	classifier	NOUN
ajsts-2912	103	15	’	’	PART
ajsts-2912	103	16	performance	performance	NOUN
ajsts-2912	103	17	adapts	adapt	VERB
ajsts-2912	103	18	to	to	ADP
ajsts-2912	103	19	different	different	ADJ
ajsts-2912	103	20	data	datum	NOUN
ajsts-2912	103	21	configurations	configuration	NOUN
ajsts-2912	103	22	.	.	PUNCT
ajsts-2912	104	1	additionally	additionally	ADV
ajsts-2912	104	2	,	,	PUNCT
ajsts-2912	104	3	an	an	DET
ajsts-2912	104	4	analysis	analysis	NOUN
ajsts-2912	104	5	was	be	AUX
ajsts-2912	104	6	conducted	conduct	VERB
ajsts-2912	104	7	to	to	PART
ajsts-2912	104	8	investigate	investigate	VERB
ajsts-2912	104	9	the	the	DET
ajsts-2912	104	10	impact	impact	NOUN
ajsts-2912	104	11	of	of	ADP
ajsts-2912	104	12	algorithmic	algorithmic	ADJ
ajsts-2912	104	13	decisions	decision	NOUN
ajsts-2912	104	14	and	and	CCONJ
ajsts-2912	104	15	hyperparameter	hyperparameter	NOUN
ajsts-2912	104	16	settings	setting	NOUN
ajsts-2912	104	17	on	on	ADP
ajsts-2912	104	18	classifier	classifier	ADJ
ajsts-2912	104	19	performance	performance	NOUN
ajsts-2912	104	20	within	within	ADP
ajsts-2912	104	21	diverse	diverse	ADJ
ajsts-2912	104	22	resampling	resample	VERB
ajsts-2912	104	23	scenarios	scenario	NOUN
ajsts-2912	104	24	.	.	PUNCT
ajsts-2912	105	1	this	this	DET
ajsts-2912	105	2	analysis	analysis	NOUN
ajsts-2912	105	3	will	will	AUX
ajsts-2912	105	4	provide	provide	VERB
ajsts-2912	105	5	insights	insight	NOUN
ajsts-2912	105	6	into	into	ADP
ajsts-2912	105	7	the	the	DET
ajsts-2912	105	8	robustness	robustness	NOUN
ajsts-2912	105	9	of	of	ADP
ajsts-2912	105	10	svc	svc	NOUN
ajsts-2912	105	11	and	and	CCONJ
ajsts-2912	105	12	rf	rf	NOUN
ajsts-2912	105	13	classifiers	classifier	NOUN
ajsts-2912	105	14	across	across	ADP
ajsts-2912	105	15	various	various	ADJ
ajsts-2912	105	16	conditions	condition	NOUN
ajsts-2912	105	17	,	,	PUNCT
ajsts-2912	105	18	enabling	enable	VERB
ajsts-2912	105	19	a	a	DET
ajsts-2912	105	20	comprehensive	comprehensive	ADJ
ajsts-2912	105	21	evaluation	evaluation	NOUN
ajsts-2912	105	22	of	of	ADP
ajsts-2912	105	23	their	their	PRON
ajsts-2912	105	24	suitability	suitability	NOUN
ajsts-2912	105	25	for	for	ADP
ajsts-2912	105	26	handling	handle	VERB
ajsts-2912	105	27	class	class	NOUN
ajsts-2912	105	28	imbalance	imbalance	NOUN
ajsts-2912	105	29	and	and	CCONJ
ajsts-2912	105	30	other	other	ADJ
ajsts-2912	105	31	challenges	challenge	NOUN
ajsts-2912	105	32	inherent	inherent	ADJ
ajsts-2912	105	33	in	in	ADP
ajsts-2912	105	34	iot	iot	ADJ
ajsts-2912	105	35	datasets	dataset	NOUN
ajsts-2912	105	36	.	.	PUNCT
ajsts-2912	106	1	discussion	discussion	NOUN
ajsts-2912	106	2	and	and	CCONJ
ajsts-2912	106	3	interpretation	interpretation	NOUN
ajsts-2912	106	4	the	the	DET
ajsts-2912	106	5	discussion	discussion	NOUN
ajsts-2912	106	6	and	and	CCONJ
ajsts-2912	106	7	interpretation	interpretation	NOUN
ajsts-2912	106	8	part	part	NOUN
ajsts-2912	106	9	of	of	ADP
ajsts-2912	106	10	the	the	DET
ajsts-2912	106	11	study	study	NOUN
ajsts-2912	106	12	has	have	AUX
ajsts-2912	106	13	utilised	utilise	VERB
ajsts-2912	106	14	the	the	DET
ajsts-2912	106	15	analysis	analysis	NOUN
ajsts-2912	106	16	of	of	ADP
ajsts-2912	106	17	experimental	experimental	ADJ
ajsts-2912	106	18	findings	finding	NOUN
ajsts-2912	106	19	based	base	VERB
ajsts-2912	106	20	on	on	ADP
ajsts-2912	106	21	the	the	DET
ajsts-2912	106	22	comparative	comparative	ADJ
ajsts-2912	106	23	performance	performance	NOUN
ajsts-2912	106	24	evaluation	evaluation	NOUN
ajsts-2912	106	25	of	of	ADP
ajsts-2912	106	26	svc	svc	PROPN
ajsts-2912	106	27	and	and	CCONJ
ajsts-2912	106	28	rf	rf	PROPN
ajsts-2912	106	29	classifiers	classifier	NOUN
ajsts-2912	106	30	while	while	SCONJ
ajsts-2912	106	31	employing	employ	VERB
ajsts-2912	106	32	various	various	ADJ
ajsts-2912	106	33	resampling	resample	VERB
ajsts-2912	106	34	strategies	strategy	NOUN
ajsts-2912	106	35	.	.	PUNCT
ajsts-2912	107	1	the	the	DET
ajsts-2912	107	2	advantages	advantage	NOUN
ajsts-2912	107	3	and	and	CCONJ
ajsts-2912	107	4	disadvantages	disadvantage	NOUN
ajsts-2912	107	5	of	of	ADP
ajsts-2912	107	6	each	each	DET
ajsts-2912	107	7	classifier	classifier	NOUN
ajsts-2912	107	8	in	in	ADP
ajsts-2912	107	9	managing	manage	VERB
ajsts-2912	107	10	the	the	DET
ajsts-2912	107	11	class	class	NOUN
ajsts-2912	107	12	imbalance	imbalance	NOUN
ajsts-2912	107	13	have	have	AUX
ajsts-2912	107	14	been	be	AUX
ajsts-2912	107	15	discussed	discuss	VERB
ajsts-2912	107	16	based	base	VERB
ajsts-2912	107	17	on	on	ADP
ajsts-2912	107	18	the	the	DET
ajsts-2912	107	19	results	result	NOUN
ajsts-2912	107	20	that	that	PRON
ajsts-2912	107	21	have	have	AUX
ajsts-2912	107	22	affected	affect	VERB
ajsts-2912	107	23	iot	iot	ADJ
ajsts-2912	107	24	data	datum	NOUN
ajsts-2912	107	25	analysis	analysis	NOUN
ajsts-2912	107	26	.	.	PUNCT
ajsts-2912	108	1	key	key	ADJ
ajsts-2912	108	2	factors	factor	NOUN
ajsts-2912	108	3	like	like	ADP
ajsts-2912	108	4	interpretability	interpretability	NOUN
ajsts-2912	108	5	,	,	PUNCT
ajsts-2912	108	6	computational	computational	ADJ
ajsts-2912	108	7	efficiency	efficiency	NOUN
ajsts-2912	108	8	,	,	PUNCT
ajsts-2912	108	9	and	and	CCONJ
ajsts-2912	108	10	model	model	NOUN
ajsts-2912	108	11	resilience	resilience	NOUN
ajsts-2912	108	12	have	have	AUX
ajsts-2912	108	13	also	also	ADV
ajsts-2912	108	14	been	be	AUX
ajsts-2912	108	15	considered	consider	VERB
ajsts-2912	108	16	to	to	PART
ajsts-2912	108	17	ensure	ensure	VERB
ajsts-2912	108	18	effective	effective	ADJ
ajsts-2912	108	19	performance	performance	NOUN
ajsts-2912	108	20	.	.	PUNCT
ajsts-2912	109	1	the	the	DET
ajsts-2912	109	2	study	study	NOUN
ajsts-2912	109	3	has	have	AUX
ajsts-2912	109	4	been	be	AUX
ajsts-2912	109	5	summarised	summarise	VERB
ajsts-2912	109	6	with	with	ADP
ajsts-2912	109	7	possible	possible	ADJ
ajsts-2912	109	8	directions	direction	NOUN
ajsts-2912	109	9	for	for	ADP
ajsts-2912	109	10	further	further	ADJ
ajsts-2912	109	11	studies	study	NOUN
ajsts-2912	109	12	,	,	PUNCT
ajsts-2912	109	13	such	such	ADJ
ajsts-2912	109	14	as	as	ADP
ajsts-2912	109	15	investigating	investigate	VERB
ajsts-2912	109	16	hybrid	hybrid	ADJ
ajsts-2912	109	17	or	or	CCONJ
ajsts-2912	109	18	ensemble	ensemble	ADJ
ajsts-2912	109	19	methodologies	methodology	NOUN
ajsts-2912	109	20	to	to	PART
ajsts-2912	109	21	enhance	enhance	VERB
ajsts-2912	109	22	classifier	classifier	ADJ
ajsts-2912	109	23	performance	performance	NOUN
ajsts-2912	109	24	in	in	ADP
ajsts-2912	109	25	imbalanced	imbalanced	ADJ
ajsts-2912	109	26	iot	iot	ADJ
ajsts-2912	109	27	datasets	dataset	NOUN
ajsts-2912	109	28	.	.	PUNCT
ajsts-2912	110	1	resampling	resample	VERB
ajsts-2912	110	2	methods	method	NOUN
ajsts-2912	110	3	and	and	CCONJ
ajsts-2912	110	4	model	model	NOUN
ajsts-2912	110	5	evaluation	evaluation	NOUN
ajsts-2912	110	6	strategy	strategy	NOUN
ajsts-2912	110	7	a	a	DET
ajsts-2912	110	8	collection	collection	NOUN
ajsts-2912	110	9	of	of	ADP
ajsts-2912	110	10	resampling	resample	VERB
ajsts-2912	110	11	methods	method	NOUN
ajsts-2912	110	12	,	,	PUNCT
ajsts-2912	110	13	such	such	ADJ
ajsts-2912	110	14	as	as	ADP
ajsts-2912	110	15	“	"	PUNCT
ajsts-2912	110	16	no	no	DET
ajsts-2912	110	17	resampling	resampling	NOUN
ajsts-2912	110	18	,	,	PUNCT
ajsts-2912	110	19	”	"	PUNCT
ajsts-2912	110	20	“	"	PUNCT
ajsts-2912	110	21	ros	ros	PROPN
ajsts-2912	110	22	,	,	PUNCT
ajsts-2912	110	23	”	"	PUNCT
ajsts-2912	110	24	“	"	PUNCT
ajsts-2912	110	25	rus	rus	NOUN
ajsts-2912	110	26	,	,	PUNCT
ajsts-2912	110	27	”	"	PUNCT
ajsts-2912	110	28	“	"	PUNCT
ajsts-2912	110	29	smote	smote	VERB
ajsts-2912	110	30	,	,	PUNCT
ajsts-2912	110	31	”	"	PUNCT
ajsts-2912	110	32	and	and	CCONJ
ajsts-2912	110	33	“	"	PUNCT
ajsts-2912	110	34	adasyn	adasyn	PROPN
ajsts-2912	110	35	,	,	PUNCT
ajsts-2912	110	36	”	"	PUNCT
ajsts-2912	110	37	have	have	AUX
ajsts-2912	110	38	been	be	AUX
ajsts-2912	110	39	presented	present	VERB
ajsts-2912	110	40	to	to	PART
ajsts-2912	110	41	solve	solve	VERB
ajsts-2912	110	42	class	class	NOUN
ajsts-2912	110	43	imbalance	imbalance	NOUN
ajsts-2912	110	44	and	and	CCONJ
ajsts-2912	110	45	evaluate	evaluate	VERB
ajsts-2912	110	46	its	its	PRON
ajsts-2912	110	47	impact	impact	NOUN
ajsts-2912	110	48	on	on	ADP
ajsts-2912	110	49	the	the	DET
ajsts-2912	110	50	overall	overall	ADJ
ajsts-2912	110	51	performance	performance	NOUN
ajsts-2912	110	52	of	of	ADP
ajsts-2912	110	53	the	the	DET
ajsts-2912	110	54	model	model	NOUN
ajsts-2912	110	55	.	.	PUNCT
ajsts-2912	111	1	this	this	DET
ajsts-2912	111	2	stage	stage	NOUN
ajsts-2912	111	3	involved	involve	VERB
ajsts-2912	111	4	determining	determine	VERB
ajsts-2912	111	5	if	if	SCONJ
ajsts-2912	111	6	resampling	resample	VERB
ajsts-2912	111	7	was	be	AUX
ajsts-2912	111	8	necessary	necessary	ADJ
ajsts-2912	111	9	and	and	CCONJ
ajsts-2912	111	10	considering	consider	VERB
ajsts-2912	111	11	the	the	DET
ajsts-2912	111	12	“	"	PUNCT
ajsts-2912	111	13	no	no	DET
ajsts-2912	111	14	resampling	resample	VERB
ajsts-2912	111	15	”	"	PUNCT
ajsts-2912	111	16	option	option	NOUN
ajsts-2912	111	17	to	to	PART
ajsts-2912	111	18	comprehend	comprehend	VERB
ajsts-2912	111	19	the	the	DET
ajsts-2912	111	20	impact	impact	NOUN
ajsts-2912	111	21	of	of	ADP
ajsts-2912	111	22	class	class	NOUN
ajsts-2912	111	23	imbalance	imbalance	NOUN
ajsts-2912	111	24	on	on	ADP
ajsts-2912	111	25	model	model	NOUN
ajsts-2912	111	26	performance	performance	NOUN
ajsts-2912	111	27	.	.	PUNCT
ajsts-2912	112	1	a	a	DET
ajsts-2912	112	2	specific	specific	ADJ
ajsts-2912	112	3	ovo	ovo	PROPN
ajsts-2912	112	4	classifier	classifier	NOUN
ajsts-2912	112	5	has	have	AUX
ajsts-2912	112	6	been	be	AUX
ajsts-2912	112	7	utilised	utilise	VERB
ajsts-2912	112	8	for	for	ADP
ajsts-2912	112	9	multi	multi	ADJ
ajsts-2912	112	10	-	-	ADJ
ajsts-2912	112	11	class	class	ADJ
ajsts-2912	112	12	classification	classification	NOUN
ajsts-2912	112	13	,	,	PUNCT
ajsts-2912	112	14	as	as	SCONJ
ajsts-2912	112	15	it	it	PRON
ajsts-2912	112	16	was	be	AUX
ajsts-2912	112	17	well	well	ADV
ajsts-2912	112	18	-	-	PUNCT
ajsts-2912	112	19	suited	suit	VERB
ajsts-2912	112	20	for	for	ADP
ajsts-2912	112	21	the	the	DET
ajsts-2912	112	22	situations	situation	NOUN
ajsts-2912	112	23	where	where	SCONJ
ajsts-2912	112	24	several	several	ADJ
ajsts-2912	112	25	classes	class	NOUN
ajsts-2912	112	26	were	be	AUX
ajsts-2912	112	27	present	present	ADJ
ajsts-2912	112	28	and	and	CCONJ
ajsts-2912	112	29	can	can	AUX
ajsts-2912	112	30	be	be	AUX
ajsts-2912	112	31	trained	train	VERB
ajsts-2912	112	32	efficiently	efficiently	ADV
ajsts-2912	112	33	with	with	ADP
ajsts-2912	112	34	both	both	CCONJ
ajsts-2912	112	35	original	original	ADJ
ajsts-2912	112	36	and	and	CCONJ
ajsts-2912	112	37	resampled	resample	VERB
ajsts-2912	112	38	datasets	dataset	NOUN
ajsts-2912	112	39	.	.	PUNCT
ajsts-2912	113	1	the	the	DET
ajsts-2912	113	2	model	model	NOUN
ajsts-2912	113	3	’s	’s	PART
ajsts-2912	113	4	performance	performance	NOUN
ajsts-2912	113	5	was	be	AUX
ajsts-2912	113	6	evaluated	evaluate	VERB
ajsts-2912	113	7	during	during	ADP
ajsts-2912	113	8	the	the	DET
ajsts-2912	113	9	ovo	ovo	PROPN
ajsts-2912	113	10	’s	’s	PART
ajsts-2912	113	11	training	training	NOUN
ajsts-2912	113	12	on	on	ADP
ajsts-2912	113	13	the	the	DET
ajsts-2912	113	14	chosen	choose	VERB
ajsts-2912	113	15	dataset	dataset	NOUN
ajsts-2912	113	16	,	,	PUNCT
ajsts-2912	113	17	regardless	regardless	ADV
ajsts-2912	113	18	of	of	ADP
ajsts-2912	113	19	resampling	resample	VERB
ajsts-2912	113	20	.	.	PUNCT
ajsts-2912	114	1	after	after	ADP
ajsts-2912	114	2	the	the	DET
ajsts-2912	114	3	training	training	NOUN
ajsts-2912	114	4	phase	phase	NOUN
ajsts-2912	114	5	,	,	PUNCT
ajsts-2912	114	6	predictions	prediction	NOUN
ajsts-2912	114	7	were	be	AUX
ajsts-2912	114	8	created	create	VERB
ajsts-2912	114	9	for	for	ADP
ajsts-2912	114	10	the	the	DET
ajsts-2912	114	11	test	test	NOUN
ajsts-2912	114	12	set	set	NOUN
ajsts-2912	114	13	,	,	PUNCT
ajsts-2912	114	14	and	and	CCONJ
ajsts-2912	114	15	accuracy	accuracy	NOUN
ajsts-2912	114	16	scores	score	NOUN
ajsts-2912	114	17	were	be	AUX
ajsts-2912	114	18	carefully	carefully	ADV
ajsts-2912	114	19	determined	determine	VERB
ajsts-2912	114	20	.	.	PUNCT
ajsts-2912	115	1	furthermore	furthermore	ADV
ajsts-2912	115	2	,	,	PUNCT
ajsts-2912	115	3	individualised	individualised	ADJ
ajsts-2912	115	4	confusion	confusion	NOUN
ajsts-2912	115	5	matrices	matrix	NOUN
ajsts-2912	115	6	were	be	AUX
ajsts-2912	115	7	constructed	construct	VERB
ajsts-2912	115	8	for	for	ADP
ajsts-2912	115	9	each	each	DET
ajsts-2912	115	10	resampling	resample	VERB
ajsts-2912	115	11	scenario	scenario	NOUN
ajsts-2912	115	12	,	,	PUNCT
ajsts-2912	115	13	comprehensively	comprehensively	ADV
ajsts-2912	115	14	evaluating	evaluate	VERB
ajsts-2912	115	15	the	the	DET
ajsts-2912	115	16	model	model	NOUN
ajsts-2912	115	17	’s	’s	PART
ajsts-2912	115	18	performance	performance	NOUN
ajsts-2912	115	19	across	across	ADP
ajsts-2912	115	20	various	various	ADJ
ajsts-2912	115	21	resampling	resample	VERB
ajsts-2912	115	22	techniques	technique	NOUN
ajsts-2912	115	23	.	.	PUNCT
ajsts-2912	116	1	a	a	DET
ajsts-2912	116	2	visual	visual	ADJ
ajsts-2912	116	3	representation	representation	NOUN
ajsts-2912	116	4	of	of	ADP
ajsts-2912	116	5	this	this	DET
ajsts-2912	116	6	methodology	methodology	NOUN
ajsts-2912	116	7	has	have	AUX
ajsts-2912	116	8	been	be	AUX
ajsts-2912	116	9	presented	present	VERB
ajsts-2912	116	10	in	in	ADP
ajsts-2912	116	11	figure	figure	NOUN
ajsts-2912	116	12	3	3	NUM
ajsts-2912	116	13	.	.	PUNCT
ajsts-2912	117	1	pa	pa	PROPN
ajsts-2912	117	2	ge	ge	PROPN
ajsts-2912	117	3	20	20	NUM
ajsts-2912	117	4	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	117	5	am	be	AUX
ajsts-2912	117	6	.	.	PUNCT
ajsts-2912	118	1	j.	j.	PROPN
ajsts-2912	118	2	smart	smart	PROPN
ajsts-2912	118	3	.	.	PUNCT
ajsts-2912	119	1	technol	technol	PROPN
ajsts-2912	119	2	.	.	PUNCT
ajsts-2912	119	3	solutions	solution	NOUN
ajsts-2912	119	4	4(1	4(1	NOUN
ajsts-2912	119	5	)	)	PUNCT
ajsts-2912	119	6	16	16	NUM
ajsts-2912	119	7	-	-	SYM
ajsts-2912	119	8	24	24	NUM
ajsts-2912	119	9	,	,	PUNCT
ajsts-2912	119	10	2025	2025	NUM
ajsts-2912	119	11	results	result	NOUN
ajsts-2912	119	12	and	and	CCONJ
ajsts-2912	119	13	discussion	discussion	NOUN
ajsts-2912	119	14	analysis	analysis	NOUN
ajsts-2912	119	15	of	of	ADP
ajsts-2912	119	16	base	base	NOUN
ajsts-2912	119	17	classifiers	classifier	NOUN
ajsts-2912	119	18	and	and	CCONJ
ajsts-2912	119	19	resampling	resample	VERB
ajsts-2912	119	20	strategies	strategy	NOUN
ajsts-2912	119	21	in	in	ADP
ajsts-2912	119	22	iot	iot	ADJ
ajsts-2912	119	23	datasets	dataset	NOUN
ajsts-2912	119	24	a	a	DET
ajsts-2912	119	25	comprehensive	comprehensive	ADJ
ajsts-2912	119	26	analysis	analysis	NOUN
ajsts-2912	119	27	of	of	ADP
ajsts-2912	119	28	base	base	NOUN
ajsts-2912	119	29	classifiers	classifier	NOUN
ajsts-2912	119	30	and	and	CCONJ
ajsts-2912	119	31	resampling	resample	VERB
ajsts-2912	119	32	strategies	strategy	NOUN
ajsts-2912	119	33	was	be	AUX
ajsts-2912	119	34	conducted	conduct	VERB
ajsts-2912	119	35	to	to	PART
ajsts-2912	119	36	identify	identify	VERB
ajsts-2912	119	37	key	key	ADJ
ajsts-2912	119	38	findings	finding	NOUN
ajsts-2912	119	39	regarding	regard	VERB
ajsts-2912	119	40	class	class	NOUN
ajsts-2912	119	41	imbalance	imbalance	NOUN
ajsts-2912	119	42	in	in	ADP
ajsts-2912	119	43	iot	iot	ADJ
ajsts-2912	119	44	datasets	dataset	NOUN
ajsts-2912	119	45	.	.	PUNCT
ajsts-2912	120	1	the	the	DET
ajsts-2912	120	2	random	random	ADJ
ajsts-2912	120	3	forest	forest	NOUN
ajsts-2912	120	4	classifier	classifier	NOUN
ajsts-2912	120	5	(	(	PUNCT
ajsts-2912	120	6	rf	rf	NOUN
ajsts-2912	120	7	)	)	PUNCT
ajsts-2912	120	8	and	and	CCONJ
ajsts-2912	120	9	the	the	DET
ajsts-2912	120	10	support	support	NOUN
ajsts-2912	120	11	vector	vector	NOUN
ajsts-2912	120	12	classifier	classifier	NOUN
ajsts-2912	120	13	(	(	PUNCT
ajsts-2912	120	14	svc	svc	PROPN
ajsts-2912	120	15	)	)	PUNCT
ajsts-2912	120	16	performed	perform	VERB
ajsts-2912	120	17	biasedly	biasedly	ADV
ajsts-2912	120	18	,	,	PUNCT
ajsts-2912	120	19	favouring	favour	VERB
ajsts-2912	120	20	the	the	DET
ajsts-2912	120	21	majority	majority	NOUN
ajsts-2912	120	22	class	class	NOUN
ajsts-2912	120	23	with	with	ADP
ajsts-2912	120	24	superior	superior	ADJ
ajsts-2912	120	25	accuracy	accuracy	NOUN
ajsts-2912	120	26	,	,	PUNCT
ajsts-2912	120	27	precision	precision	NOUN
ajsts-2912	120	28	,	,	PUNCT
ajsts-2912	120	29	and	and	CCONJ
ajsts-2912	120	30	recall	recall	VERB
ajsts-2912	120	31	on	on	ADP
ajsts-2912	120	32	the	the	DET
ajsts-2912	120	33	original	original	ADJ
ajsts-2912	120	34	unbalanced	unbalanced	ADJ
ajsts-2912	120	35	datasets	dataset	NOUN
ajsts-2912	120	36	.	.	PUNCT
ajsts-2912	121	1	the	the	DET
ajsts-2912	121	2	study	study	NOUN
ajsts-2912	121	3	revealed	reveal	VERB
ajsts-2912	121	4	a	a	DET
ajsts-2912	121	5	trade	trade	NOUN
ajsts-2912	121	6	-	-	PUNCT
ajsts-2912	121	7	off	off	NOUN
ajsts-2912	121	8	between	between	ADP
ajsts-2912	121	9	recall	recall	NOUN
ajsts-2912	121	10	and	and	CCONJ
ajsts-2912	121	11	accuracy	accuracy	NOUN
ajsts-2912	121	12	,	,	PUNCT
ajsts-2912	121	13	with	with	ADP
ajsts-2912	121	14	svc	svc	NOUN
ajsts-2912	121	15	demonstrating	demonstrate	VERB
ajsts-2912	121	16	better	well	ADJ
ajsts-2912	121	17	recall	recall	NOUN
ajsts-2912	121	18	but	but	CCONJ
ajsts-2912	121	19	poorer	poor	ADJ
ajsts-2912	121	20	precision	precision	NOUN
ajsts-2912	121	21	than	than	ADP
ajsts-2912	121	22	rf	rf	PROPN
ajsts-2912	121	23	.	.	PUNCT
ajsts-2912	122	1	however	however	ADV
ajsts-2912	122	2	,	,	PUNCT
ajsts-2912	122	3	rf	rf	VERB
ajsts-2912	122	4	regularly	regularly	ADV
ajsts-2912	122	5	outperformed	outperform	VERB
ajsts-2912	122	6	svc	svc	PROPN
ajsts-2912	122	7	in	in	ADP
ajsts-2912	122	8	terms	term	NOUN
ajsts-2912	122	9	of	of	ADP
ajsts-2912	122	10	total	total	ADJ
ajsts-2912	122	11	f1	f1	NOUN
ajsts-2912	122	12	-	-	PUNCT
ajsts-2912	122	13	score	score	NOUN
ajsts-2912	122	14	on	on	ADP
ajsts-2912	122	15	datasets	dataset	NOUN
ajsts-2912	122	16	that	that	PRON
ajsts-2912	122	17	were	be	AUX
ajsts-2912	122	18	not	not	PART
ajsts-2912	122	19	evenly	evenly	ADV
ajsts-2912	122	20	distributed	distribute	VERB
ajsts-2912	122	21	.	.	PUNCT
ajsts-2912	123	1	the	the	DET
ajsts-2912	123	2	successful	successful	ADJ
ajsts-2912	123	3	mitigation	mitigation	NOUN
ajsts-2912	123	4	of	of	ADP
ajsts-2912	123	5	class	class	NOUN
ajsts-2912	123	6	imbalance	imbalance	NOUN
ajsts-2912	123	7	resampling	resample	VERB
ajsts-2912	123	8	strategies	strategy	NOUN
ajsts-2912	123	9	led	lead	VERB
ajsts-2912	123	10	to	to	ADP
ajsts-2912	123	11	better	well	ADJ
ajsts-2912	123	12	performance	performance	NOUN
ajsts-2912	123	13	across	across	ADP
ajsts-2912	123	14	various	various	ADJ
ajsts-2912	123	15	assessment	assessment	NOUN
ajsts-2912	123	16	measures	measure	NOUN
ajsts-2912	123	17	for	for	ADP
ajsts-2912	123	18	both	both	DET
ajsts-2912	123	19	classifiers	classifier	NOUN
ajsts-2912	123	20	.	.	PUNCT
ajsts-2912	124	1	smote	smote	VERB
ajsts-2912	124	2	and	and	CCONJ
ajsts-2912	124	3	adasyn	adasyn	NOUN
ajsts-2912	124	4	oversampling	oversample	VERB
ajsts-2912	124	5	techniques	technique	NOUN
ajsts-2912	124	6	significantly	significantly	ADV
ajsts-2912	124	7	improved	improve	VERB
ajsts-2912	124	8	memory	memory	NOUN
ajsts-2912	124	9	for	for	ADP
ajsts-2912	124	10	the	the	DET
ajsts-2912	124	11	minority	minority	NOUN
ajsts-2912	124	12	class	class	NOUN
ajsts-2912	124	13	,	,	PUNCT
ajsts-2912	124	14	reducing	reduce	VERB
ajsts-2912	124	15	and	and	CCONJ
ajsts-2912	124	16	alleviating	alleviate	VERB
ajsts-2912	124	17	the	the	DET
ajsts-2912	124	18	imbalance	imbalance	NOUN
ajsts-2912	124	19	-	-	PUNCT
ajsts-2912	124	20	induced	induce	VERB
ajsts-2912	124	21	bias	bias	NOUN
ajsts-2912	124	22	in	in	ADP
ajsts-2912	124	23	predictions	prediction	NOUN
ajsts-2912	124	24	.	.	PUNCT
ajsts-2912	125	1	furthermore	furthermore	ADV
ajsts-2912	125	2	,	,	PUNCT
ajsts-2912	125	3	sensitivity	sensitivity	NOUN
ajsts-2912	125	4	to	to	ADP
ajsts-2912	125	5	the	the	DET
ajsts-2912	125	6	minority	minority	NOUN
ajsts-2912	125	7	class	class	NOUN
ajsts-2912	125	8	was	be	AUX
ajsts-2912	125	9	enhanced	enhance	VERB
ajsts-2912	125	10	,	,	PUNCT
ajsts-2912	125	11	but	but	CCONJ
ajsts-2912	125	12	overall	overall	ADJ
ajsts-2912	125	13	accuracy	accuracy	NOUN
ajsts-2912	125	14	was	be	AUX
ajsts-2912	125	15	decreased	decrease	VERB
ajsts-2912	125	16	when	when	SCONJ
ajsts-2912	125	17	random	random	ADJ
ajsts-2912	125	18	undersampling	undersampling	ADJ
ajsts-2912	125	19	approaches	approach	NOUN
ajsts-2912	125	20	were	be	AUX
ajsts-2912	125	21	utilised	utilise	VERB
ajsts-2912	125	22	.	.	PUNCT
ajsts-2912	126	1	although	although	SCONJ
ajsts-2912	126	2	rf	rf	PRON
ajsts-2912	126	3	consistently	consistently	ADV
ajsts-2912	126	4	outperformed	outperform	VERB
ajsts-2912	126	5	svc	svc	PROPN
ajsts-2912	126	6	in	in	ADP
ajsts-2912	126	7	various	various	ADJ
ajsts-2912	126	8	conditions	condition	NOUN
ajsts-2912	126	9	,	,	PUNCT
ajsts-2912	126	10	demonstrating	demonstrate	VERB
ajsts-2912	126	11	greater	great	ADJ
ajsts-2912	126	12	overall	overall	ADJ
ajsts-2912	126	13	accuracy	accuracy	NOUN
ajsts-2912	126	14	,	,	PUNCT
ajsts-2912	126	15	precision	precision	NOUN
ajsts-2912	126	16	,	,	PUNCT
ajsts-2912	126	17	recall	recall	NOUN
ajsts-2912	126	18	,	,	PUNCT
ajsts-2912	126	19	and	and	CCONJ
ajsts-2912	126	20	f1	f1	NOUN
ajsts-2912	126	21	-	-	PUNCT
ajsts-2912	126	22	score	score	NOUN
ajsts-2912	126	23	in	in	ADP
ajsts-2912	126	24	the	the	DET
ajsts-2912	126	25	comparison	comparison	NOUN
ajsts-2912	126	26	study	study	NOUN
ajsts-2912	126	27	of	of	ADP
ajsts-2912	126	28	svc	svc	PROPN
ajsts-2912	126	29	and	and	CCONJ
ajsts-2912	126	30	rf	rf	VERB
ajsts-2912	126	31	resampled	resample	VERB
ajsts-2912	126	32	datasets	dataset	NOUN
ajsts-2912	126	33	.	.	PUNCT
ajsts-2912	127	1	rf	rf	PRON
ajsts-2912	127	2	also	also	ADV
ajsts-2912	127	3	outperformed	outperform	VERB
ajsts-2912	127	4	svc	svc	PROPN
ajsts-2912	127	5	in	in	ADP
ajsts-2912	127	6	sensitivity	sensitivity	NOUN
ajsts-2912	127	7	to	to	ADP
ajsts-2912	127	8	minority	minority	NOUN
ajsts-2912	127	9	classes	class	NOUN
ajsts-2912	127	10	and	and	CCONJ
ajsts-2912	127	11	produced	produce	VERB
ajsts-2912	127	12	a	a	DET
ajsts-2912	127	13	stronger	strong	ADJ
ajsts-2912	127	14	recall	recall	NOUN
ajsts-2912	127	15	-	-	PUNCT
ajsts-2912	127	16	to	to	ADP
ajsts-2912	127	17	-	-	PUNCT
ajsts-2912	127	18	precision	precision	NOUN
ajsts-2912	127	19	ratio	ratio	NOUN
ajsts-2912	127	20	.	.	PUNCT
ajsts-2912	128	1	statistical	statistical	ADJ
ajsts-2912	128	2	analysis	analysis	NOUN
ajsts-2912	128	3	of	of	ADP
ajsts-2912	128	4	base	base	NOUN
ajsts-2912	128	5	classifier	classifier	NOUN
ajsts-2912	128	6	performance	performance	NOUN
ajsts-2912	128	7	the	the	DET
ajsts-2912	128	8	statistical	statistical	ADJ
ajsts-2912	128	9	analysis	analysis	NOUN
ajsts-2912	128	10	of	of	ADP
ajsts-2912	128	11	the	the	DET
ajsts-2912	128	12	study	study	NOUN
ajsts-2912	128	13	revealed	reveal	VERB
ajsts-2912	128	14	that	that	SCONJ
ajsts-2912	128	15	rf	rf	PRON
ajsts-2912	128	16	outperformed	outperform	VERB
ajsts-2912	128	17	svc	svc	PROPN
ajsts-2912	128	18	in	in	ADP
ajsts-2912	128	19	managing	manage	VERB
ajsts-2912	128	20	class	class	NOUN
ajsts-2912	128	21	imbalance	imbalance	NOUN
ajsts-2912	128	22	to	to	ADP
ajsts-2912	128	23	iot	iot	ADJ
ajsts-2912	128	24	datasets	dataset	NOUN
ajsts-2912	128	25	,	,	PUNCT
ajsts-2912	128	26	highlighting	highlight	VERB
ajsts-2912	128	27	the	the	DET
ajsts-2912	128	28	significance	significance	NOUN
ajsts-2912	128	29	of	of	ADP
ajsts-2912	128	30	its	its	PRON
ajsts-2912	128	31	performance	performance	NOUN
ajsts-2912	128	32	.	.	PUNCT
ajsts-2912	129	1	additionally	additionally	ADV
ajsts-2912	129	2	,	,	PUNCT
ajsts-2912	129	3	various	various	ADJ
ajsts-2912	129	4	dataset	dataset	NOUN
ajsts-2912	129	5	properties	property	NOUN
ajsts-2912	129	6	such	such	ADJ
ajsts-2912	129	7	as	as	ADP
ajsts-2912	129	8	imbalance	imbalance	NOUN
ajsts-2912	129	9	ratio	ratio	NOUN
ajsts-2912	129	10	,	,	PUNCT
ajsts-2912	129	11	size	size	NOUN
ajsts-2912	129	12	,	,	PUNCT
ajsts-2912	129	13	and	and	CCONJ
ajsts-2912	129	14	feature	feature	NOUN
ajsts-2912	129	15	space	space	NOUN
ajsts-2912	129	16	dimensionality	dimensionality	NOUN
ajsts-2912	129	17	affected	affect	VERB
ajsts-2912	129	18	the	the	DET
ajsts-2912	129	19	efficacy	efficacy	NOUN
ajsts-2912	129	20	of	of	ADP
ajsts-2912	129	21	resampling	resample	VERB
ajsts-2912	129	22	algorithms	algorithm	NOUN
ajsts-2912	129	23	differently	differently	ADV
ajsts-2912	129	24	,	,	PUNCT
ajsts-2912	129	25	with	with	ADP
ajsts-2912	129	26	rf	rf	NOUN
ajsts-2912	129	27	classifiers	classifier	NOUN
ajsts-2912	129	28	demonstrating	demonstrate	VERB
ajsts-2912	129	29	greater	great	ADJ
ajsts-2912	129	30	resistance	resistance	NOUN
ajsts-2912	129	31	to	to	ADP
ajsts-2912	129	32	these	these	DET
ajsts-2912	129	33	fluctuations	fluctuation	NOUN
ajsts-2912	129	34	than	than	ADP
ajsts-2912	129	35	svc	svc	PROPN
ajsts-2912	129	36	classifiers	classifier	NOUN
ajsts-2912	129	37	.	.	PUNCT
ajsts-2912	130	1	these	these	DET
ajsts-2912	130	2	findings	finding	NOUN
ajsts-2912	130	3	of	of	ADP
ajsts-2912	130	4	the	the	DET
ajsts-2912	130	5	study	study	NOUN
ajsts-2912	130	6	have	have	AUX
ajsts-2912	130	7	emphasised	emphasise	VERB
ajsts-2912	130	8	the	the	DET
ajsts-2912	130	9	significance	significance	NOUN
ajsts-2912	130	10	of	of	ADP
ajsts-2912	130	11	selecting	select	VERB
ajsts-2912	130	12	appropriate	appropriate	ADJ
ajsts-2912	130	13	resampling	resample	VERB
ajsts-2912	130	14	techniques	technique	NOUN
ajsts-2912	130	15	and	and	CCONJ
ajsts-2912	130	16	classifiers	classifier	NOUN
ajsts-2912	130	17	for	for	ADP
ajsts-2912	130	18	iot	iot	ADJ
ajsts-2912	130	19	datasets	dataset	NOUN
ajsts-2912	130	20	,	,	PUNCT
ajsts-2912	130	21	thereby	thereby	ADV
ajsts-2912	130	22	enhancing	enhance	VERB
ajsts-2912	130	23	the	the	DET
ajsts-2912	130	24	development	development	NOUN
ajsts-2912	130	25	of	of	ADP
ajsts-2912	130	26	robust	robust	ADJ
ajsts-2912	130	27	and	and	CCONJ
ajsts-2912	130	28	reliable	reliable	ADJ
ajsts-2912	130	29	predictive	predictive	ADJ
ajsts-2912	130	30	models	model	NOUN
ajsts-2912	130	31	for	for	ADP
ajsts-2912	130	32	diverse	diverse	ADJ
ajsts-2912	130	33	applications	application	NOUN
ajsts-2912	130	34	.	.	PUNCT
ajsts-2912	131	1	in	in	ADP
ajsts-2912	131	2	this	this	DET
ajsts-2912	131	3	study	study	NOUN
ajsts-2912	131	4	,	,	PUNCT
ajsts-2912	131	5	the	the	DET
ajsts-2912	131	6	performance	performance	NOUN
ajsts-2912	131	7	of	of	ADP
ajsts-2912	131	8	a	a	DET
ajsts-2912	131	9	classification	classification	NOUN
ajsts-2912	131	10	model	model	NOUN
ajsts-2912	131	11	using	use	VERB
ajsts-2912	131	12	various	various	ADJ
ajsts-2912	131	13	resampling	resample	VERB
ajsts-2912	131	14	techniques	technique	NOUN
ajsts-2912	131	15	was	be	AUX
ajsts-2912	131	16	assessed	assess	VERB
ajsts-2912	131	17	to	to	PART
ajsts-2912	131	18	determine	determine	VERB
ajsts-2912	131	19	class	class	NOUN
ajsts-2912	131	20	imbalance	imbalance	NOUN
ajsts-2912	131	21	in	in	ADP
ajsts-2912	131	22	the	the	DET
ajsts-2912	131	23	dataset	dataset	NOUN
ajsts-2912	131	24	.	.	PUNCT
ajsts-2912	132	1	the	the	DET
ajsts-2912	132	2	classification	classification	NOUN
ajsts-2912	132	3	reports	report	NOUN
ajsts-2912	132	4	associated	associate	VERB
ajsts-2912	132	5	with	with	ADP
ajsts-2912	132	6	each	each	DET
ajsts-2912	132	7	technique	technique	NOUN
ajsts-2912	132	8	yield	yield	NOUN
ajsts-2912	132	9	valuable	valuable	ADJ
ajsts-2912	132	10	insights	insight	NOUN
ajsts-2912	132	11	into	into	ADP
ajsts-2912	132	12	the	the	DET
ajsts-2912	132	13	model	model	NOUN
ajsts-2912	132	14	’s	’s	PART
ajsts-2912	132	15	precision	precision	NOUN
ajsts-2912	132	16	,	,	PUNCT
ajsts-2912	132	17	recall	recall	NOUN
ajsts-2912	132	18	,	,	PUNCT
ajsts-2912	132	19	f1	f1	NOUN
ajsts-2912	132	20	scores	score	NOUN
ajsts-2912	132	21	,	,	PUNCT
ajsts-2912	132	22	and	and	CCONJ
ajsts-2912	132	23	accuracy	accuracy	NOUN
ajsts-2912	132	24	across	across	ADP
ajsts-2912	132	25	various	various	ADJ
ajsts-2912	132	26	classes	class	NOUN
ajsts-2912	132	27	.	.	PUNCT
ajsts-2912	133	1	these	these	DET
ajsts-2912	133	2	results	result	NOUN
ajsts-2912	133	3	offered	offer	VERB
ajsts-2912	133	4	a	a	DET
ajsts-2912	133	5	comprehensive	comprehensive	ADJ
ajsts-2912	133	6	perspective	perspective	NOUN
ajsts-2912	133	7	on	on	ADP
ajsts-2912	133	8	how	how	SCONJ
ajsts-2912	133	9	diverse	diverse	ADJ
ajsts-2912	133	10	resampling	resample	VERB
ajsts-2912	133	11	methods	method	NOUN
ajsts-2912	133	12	influence	influence	VERB
ajsts-2912	133	13	the	the	DET
ajsts-2912	133	14	model	model	NOUN
ajsts-2912	133	15	’s	’s	PART
ajsts-2912	133	16	ability	ability	NOUN
ajsts-2912	133	17	to	to	PART
ajsts-2912	133	18	accurately	accurately	ADV
ajsts-2912	133	19	classify	classify	VERB
ajsts-2912	133	20	instances	instance	NOUN
ajsts-2912	133	21	across	across	ADP
ajsts-2912	133	22	various	various	ADJ
ajsts-2912	133	23	categories	category	NOUN
ajsts-2912	133	24	(	(	PUNCT
ajsts-2912	133	25	collell	collell	VERB
ajsts-2912	133	26	et	et	PROPN
ajsts-2912	133	27	al	al	PROPN
ajsts-2912	133	28	.	.	PROPN
ajsts-2912	133	29	,	,	PUNCT
ajsts-2912	133	30	2018	2018	NUM
ajsts-2912	133	31	;	;	PUNCT
ajsts-2912	133	32	qawqzeh	qawqzeh	VERB
ajsts-2912	133	33	et	et	PROPN
ajsts-2912	133	34	al	al	PROPN
ajsts-2912	133	35	.	.	PROPN
ajsts-2912	133	36	,	,	PUNCT
ajsts-2912	133	37	2020	2020	NUM
ajsts-2912	133	38	)	)	PUNCT
ajsts-2912	133	39	.	.	PUNCT
ajsts-2912	134	1	the	the	DET
ajsts-2912	134	2	subsequent	subsequent	ADJ
ajsts-2912	134	3	sections	section	NOUN
ajsts-2912	134	4	will	will	AUX
ajsts-2912	134	5	delve	delve	VERB
ajsts-2912	134	6	deeper	deeply	ADV
ajsts-2912	134	7	into	into	ADP
ajsts-2912	134	8	the	the	DET
ajsts-2912	134	9	implications	implication	NOUN
ajsts-2912	134	10	of	of	ADP
ajsts-2912	134	11	these	these	DET
ajsts-2912	134	12	results	result	NOUN
ajsts-2912	134	13	and	and	CCONJ
ajsts-2912	134	14	their	their	PRON
ajsts-2912	134	15	significance	significance	NOUN
ajsts-2912	134	16	in	in	ADP
ajsts-2912	134	17	selecting	select	VERB
ajsts-2912	134	18	the	the	DET
ajsts-2912	134	19	most	most	ADV
ajsts-2912	134	20	appropriate	appropriate	ADJ
ajsts-2912	134	21	resampling	resample	VERB
ajsts-2912	134	22	technique	technique	NOUN
ajsts-2912	134	23	.	.	PUNCT
ajsts-2912	135	1	figures	figure	NOUN
ajsts-2912	135	2	4	4	NUM
ajsts-2912	135	3	and	and	CCONJ
ajsts-2912	135	4	5	5	NUM
ajsts-2912	135	5	represent	represent	VERB
ajsts-2912	135	6	the	the	DET
ajsts-2912	135	7	classification	classification	NOUN
ajsts-2912	135	8	reports	report	NOUN
ajsts-2912	135	9	for	for	ADP
ajsts-2912	135	10	the	the	DET
ajsts-2912	135	11	figure	figure	NOUN
ajsts-2912	135	12	3	3	NUM
ajsts-2912	135	13	:	:	PUNCT
ajsts-2912	135	14	illustration	illustration	NOUN
ajsts-2912	135	15	of	of	ADP
ajsts-2912	135	16	resampling	resample	VERB
ajsts-2912	135	17	techniques	technique	NOUN
ajsts-2912	135	18	for	for	ADP
ajsts-2912	135	19	class	class	NOUN
ajsts-2912	135	20	imbalance	imbalance	NOUN
ajsts-2912	135	21	handling	handling	NOUN
ajsts-2912	135	22	in	in	ADP
ajsts-2912	135	23	iot	iot	PROPN
ajsts-2912	135	24	environment	environment	NOUN
ajsts-2912	135	25	figure	figure	NOUN
ajsts-2912	135	26	4	4	NUM
ajsts-2912	135	27	:	:	PUNCT
ajsts-2912	135	28	iot_modbus	iot_modbus	ADJ
ajsts-2912	135	29	dataset	dataset	ADJ
ajsts-2912	135	30	classification	classification	NOUN
ajsts-2912	135	31	reports	report	NOUN
ajsts-2912	135	32	of	of	ADP
ajsts-2912	135	33	the	the	DET
ajsts-2912	135	34	used	use	VERB
ajsts-2912	135	35	resampling	resample	VERB
ajsts-2912	135	36	techniques	technique	NOUN
ajsts-2912	135	37	pa	pa	PROPN
ajsts-2912	135	38	ge	ge	PROPN
ajsts-2912	135	39	21	21	NUM
ajsts-2912	135	40	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	135	41	am	be	AUX
ajsts-2912	135	42	.	.	PUNCT
ajsts-2912	136	1	j.	j.	PROPN
ajsts-2912	136	2	smart	smart	PROPN
ajsts-2912	136	3	.	.	PUNCT
ajsts-2912	137	1	technol	technol	PROPN
ajsts-2912	137	2	.	.	PUNCT
ajsts-2912	137	3	solutions	solution	NOUN
ajsts-2912	137	4	4(1	4(1	NOUN
ajsts-2912	137	5	)	)	PUNCT
ajsts-2912	137	6	16	16	NUM
ajsts-2912	137	7	-	-	SYM
ajsts-2912	137	8	24	24	NUM
ajsts-2912	137	9	,	,	PUNCT
ajsts-2912	137	10	2025	2025	NUM
ajsts-2912	137	11	resampling	resample	VERB
ajsts-2912	137	12	techniques	technique	NOUN
ajsts-2912	137	13	utilised	utilise	VERB
ajsts-2912	137	14	in	in	ADP
ajsts-2912	137	15	this	this	DET
ajsts-2912	137	16	study	study	NOUN
ajsts-2912	137	17	,	,	PUNCT
ajsts-2912	137	18	focusing	focus	VERB
ajsts-2912	137	19	on	on	ADP
ajsts-2912	137	20	both	both	CCONJ
ajsts-2912	137	21	the	the	DET
ajsts-2912	137	22	iot_modbus	iot_modbus	NOUN
ajsts-2912	137	23	and	and	CCONJ
ajsts-2912	137	24	iot_gps_tracker	iot_gps_track	ADJ
ajsts-2912	137	25	datasets	dataset	NOUN
ajsts-2912	137	26	.	.	PUNCT
ajsts-2912	138	1	the	the	DET
ajsts-2912	138	2	comprehensive	comprehensive	ADJ
ajsts-2912	138	3	analysis	analysis	NOUN
ajsts-2912	138	4	of	of	ADP
ajsts-2912	138	5	the	the	DET
ajsts-2912	138	6	model	model	NOUN
ajsts-2912	138	7	highlighted	highlight	VERB
ajsts-2912	138	8	the	the	DET
ajsts-2912	138	9	impact	impact	NOUN
ajsts-2912	138	10	of	of	ADP
ajsts-2912	138	11	diverse	diverse	ADJ
ajsts-2912	138	12	resampling	resample	VERB
ajsts-2912	138	13	techniques	technique	NOUN
ajsts-2912	138	14	on	on	ADP
ajsts-2912	138	15	classification	classification	NOUN
ajsts-2912	138	16	performance	performance	NOUN
ajsts-2912	138	17	across	across	ADP
ajsts-2912	138	18	varied	varied	ADJ
ajsts-2912	138	19	classes	class	NOUN
ajsts-2912	138	20	,	,	PUNCT
ajsts-2912	138	21	facilitating	facilitate	VERB
ajsts-2912	138	22	a	a	DET
ajsts-2912	138	23	deeper	deep	ADJ
ajsts-2912	138	24	understanding	understanding	NOUN
ajsts-2912	138	25	of	of	ADP
ajsts-2912	138	26	their	their	PRON
ajsts-2912	138	27	implications	implication	NOUN
ajsts-2912	138	28	and	and	CCONJ
ajsts-2912	138	29	avenues	avenue	NOUN
ajsts-2912	138	30	for	for	ADP
ajsts-2912	138	31	potential	potential	ADJ
ajsts-2912	138	32	enhancements	enhancement	NOUN
ajsts-2912	138	33	.	.	PUNCT
ajsts-2912	139	1	previous	previous	ADJ
ajsts-2912	139	2	research	research	NOUN
ajsts-2912	139	3	(	(	PUNCT
ajsts-2912	139	4	azlim	azlim	PROPN
ajsts-2912	139	5	&	&	CCONJ
ajsts-2912	139	6	ahamed	ahamed	PROPN
ajsts-2912	139	7	,	,	PUNCT
ajsts-2912	139	8	.2023	.2023	PROPN
ajsts-2912	139	9	;	;	PUNCT
ajsts-2912	139	10	jiang	jiang	PROPN
ajsts-2912	139	11	et	et	PROPN
ajsts-2912	139	12	al	al	PROPN
ajsts-2912	139	13	.	.	PROPN
ajsts-2912	139	14	,	,	PUNCT
ajsts-2912	139	15	2023	2023	NUM
ajsts-2912	139	16	;	;	PUNCT
ajsts-2912	139	17	qawqzeh	qawqzeh	PROPN
ajsts-2912	139	18	et	et	PROPN
ajsts-2912	139	19	al	al	PROPN
ajsts-2912	139	20	.	.	PROPN
ajsts-2912	139	21	,	,	PUNCT
ajsts-2912	139	22	2023	2023	NUM
ajsts-2912	139	23	;	;	PUNCT
ajsts-2912	139	24	rezvani	rezvani	PROPN
ajsts-2912	139	25	&	&	CCONJ
ajsts-2912	139	26	wang	wang	PROPN
ajsts-2912	139	27	,	,	PUNCT
ajsts-2912	139	28	2023	2023	NUM
ajsts-2912	139	29	)	)	PUNCT
ajsts-2912	139	30	have	have	AUX
ajsts-2912	139	31	emphasised	emphasise	VERB
ajsts-2912	139	32	the	the	DET
ajsts-2912	139	33	symbiotic	symbiotic	ADJ
ajsts-2912	139	34	relationship	relationship	NOUN
ajsts-2912	139	35	between	between	ADP
ajsts-2912	139	36	resampling	resample	VERB
ajsts-2912	139	37	techniques	technique	NOUN
ajsts-2912	139	38	and	and	CCONJ
ajsts-2912	139	39	the	the	DET
ajsts-2912	139	40	choice	choice	NOUN
ajsts-2912	139	41	of	of	ADP
ajsts-2912	139	42	classification	classification	NOUN
ajsts-2912	139	43	methods	method	NOUN
ajsts-2912	139	44	,	,	PUNCT
ajsts-2912	139	45	underscoring	underscore	VERB
ajsts-2912	139	46	the	the	DET
ajsts-2912	139	47	necessity	necessity	NOUN
ajsts-2912	139	48	for	for	SCONJ
ajsts-2912	139	49	synergy	synergy	NOUN
ajsts-2912	139	50	to	to	PART
ajsts-2912	139	51	maximise	maximise	VERB
ajsts-2912	139	52	beneficial	beneficial	ADJ
ajsts-2912	139	53	outcomes	outcome	NOUN
ajsts-2912	139	54	.	.	PUNCT
ajsts-2912	140	1	absence	absence	NOUN
ajsts-2912	140	2	of	of	ADP
ajsts-2912	140	3	resampling	resample	VERB
ajsts-2912	140	4	in	in	ADP
ajsts-2912	140	5	the	the	DET
ajsts-2912	140	6	absence	absence	NOUN
ajsts-2912	140	7	of	of	ADP
ajsts-2912	140	8	resampling	resampling	NOUN
ajsts-2912	140	9	,	,	PUNCT
ajsts-2912	140	10	the	the	DET
ajsts-2912	140	11	model	model	NOUN
ajsts-2912	140	12	achieved	achieve	VERB
ajsts-2912	140	13	98	98	NUM
ajsts-2912	140	14	%	%	NOUN
ajsts-2912	140	15	notable	notable	ADJ
ajsts-2912	140	16	accuracy	accuracy	NOUN
ajsts-2912	140	17	.	.	PUNCT
ajsts-2912	141	1	while	while	SCONJ
ajsts-2912	141	2	demonstrating	demonstrate	VERB
ajsts-2912	141	3	perfect	perfect	ADJ
ajsts-2912	141	4	precision	precision	NOUN
ajsts-2912	141	5	and	and	CCONJ
ajsts-2912	141	6	high	high	ADJ
ajsts-2912	141	7	recall	recall	NOUN
ajsts-2912	141	8	for	for	ADP
ajsts-2912	141	9	the	the	DET
ajsts-2912	141	10	“	"	PUNCT
ajsts-2912	141	11	injection	injection	NOUN
ajsts-2912	141	12	”	"	PUNCT
ajsts-2912	141	13	class	class	NOUN
ajsts-2912	141	14	and	and	CCONJ
ajsts-2912	141	15	a	a	DET
ajsts-2912	141	16	commendable	commendable	ADJ
ajsts-2912	141	17	f1	f1	NOUN
ajsts-2912	141	18	-	-	PUNCT
ajsts-2912	141	19	score	score	NOUN
ajsts-2912	141	20	for	for	ADP
ajsts-2912	141	21	“	"	PUNCT
ajsts-2912	141	22	scanning	scan	VERB
ajsts-2912	141	23	,	,	PUNCT
ajsts-2912	141	24	”	"	PUNCT
ajsts-2912	141	25	lower	low	ADJ
ajsts-2912	141	26	f1	f1	NOUN
ajsts-2912	141	27	-	-	PUNCT
ajsts-2912	141	28	scores	score	NOUN
ajsts-2912	141	29	for	for	ADP
ajsts-2912	141	30	“	"	PUNCT
ajsts-2912	141	31	xss	xss	PROPN
ajsts-2912	141	32	”	"	PUNCT
ajsts-2912	141	33	and	and	CCONJ
ajsts-2912	141	34	“	"	PUNCT
ajsts-2912	141	35	backdoor	backdoor	NOUN
ajsts-2912	141	36	”	"	PUNCT
ajsts-2912	141	37	indicated	indicate	VERB
ajsts-2912	141	38	areas	area	NOUN
ajsts-2912	141	39	for	for	ADP
ajsts-2912	141	40	improvement	improvement	NOUN
ajsts-2912	141	41	.	.	PUNCT
ajsts-2912	142	1	random	random	ADJ
ajsts-2912	142	2	over	over	ADP
ajsts-2912	142	3	-	-	PUNCT
ajsts-2912	142	4	sampling	sample	VERB
ajsts-2912	142	5	(	(	PUNCT
ajsts-2912	142	6	ros	ros	PROPN
ajsts-2912	142	7	)	)	PUNCT
ajsts-2912	142	8	maintaining	maintain	VERB
ajsts-2912	142	9	a	a	DET
ajsts-2912	142	10	consistent	consistent	ADJ
ajsts-2912	142	11	accuracy	accuracy	NOUN
ajsts-2912	142	12	of	of	ADP
ajsts-2912	142	13	98	98	NUM
ajsts-2912	142	14	%	%	NOUN
ajsts-2912	142	15	,	,	PUNCT
ajsts-2912	142	16	ros	ros	PROPN
ajsts-2912	142	17	exhibited	exhibit	VERB
ajsts-2912	142	18	strengths	strength	NOUN
ajsts-2912	142	19	in	in	ADP
ajsts-2912	142	20	perfect	perfect	ADJ
ajsts-2912	142	21	precision	precision	NOUN
ajsts-2912	142	22	and	and	CCONJ
ajsts-2912	142	23	high	high	ADJ
ajsts-2912	142	24	recall	recall	NOUN
ajsts-2912	142	25	for	for	ADP
ajsts-2912	142	26	the	the	DET
ajsts-2912	142	27	“	"	PUNCT
ajsts-2912	142	28	injection	injection	NOUN
ajsts-2912	142	29	”	"	PUNCT
ajsts-2912	142	30	class	class	NOUN
ajsts-2912	142	31	,	,	PUNCT
ajsts-2912	142	32	along	along	ADP
ajsts-2912	142	33	with	with	ADP
ajsts-2912	142	34	a	a	DET
ajsts-2912	142	35	substantial	substantial	ADJ
ajsts-2912	142	36	f1score	f1score	NOUN
ajsts-2912	142	37	for	for	ADP
ajsts-2912	142	38	“	"	PUNCT
ajsts-2912	142	39	scanning	scanning	NOUN
ajsts-2912	142	40	.	.	PUNCT
ajsts-2912	142	41	”	"	PUNCT
ajsts-2912	143	1	however	however	ADV
ajsts-2912	143	2	,	,	PUNCT
ajsts-2912	143	3	comparatively	comparatively	ADV
ajsts-2912	143	4	lower	low	ADJ
ajsts-2912	143	5	f1	f1	NOUN
ajsts-2912	143	6	scores	score	NOUN
ajsts-2912	143	7	for	for	ADP
ajsts-2912	143	8	“	"	PUNCT
ajsts-2912	143	9	password	password	NOUN
ajsts-2912	143	10	”	"	PUNCT
ajsts-2912	143	11	and	and	CCONJ
ajsts-2912	143	12	“	"	PUNCT
ajsts-2912	143	13	xss	xss	PROPN
ajsts-2912	143	14	”	"	PUNCT
ajsts-2912	143	15	suggested	suggest	VERB
ajsts-2912	143	16	potential	potential	ADJ
ajsts-2912	143	17	areas	area	NOUN
ajsts-2912	143	18	for	for	ADP
ajsts-2912	143	19	enhancement	enhancement	NOUN
ajsts-2912	143	20	.	.	PUNCT
ajsts-2912	144	1	ros	ros	PROPN
ajsts-2912	144	2	effectively	effectively	ADV
ajsts-2912	144	3	addressed	address	VERB
ajsts-2912	144	4	class	class	NOUN
ajsts-2912	144	5	distribution	distribution	NOUN
ajsts-2912	144	6	imbalance	imbalance	NOUN
ajsts-2912	144	7	.	.	PUNCT
ajsts-2912	145	1	random	random	ADJ
ajsts-2912	145	2	under	under	NOUN
ajsts-2912	145	3	-	-	PUNCT
ajsts-2912	145	4	sampling	sample	VERB
ajsts-2912	145	5	(	(	PUNCT
ajsts-2912	145	6	rus	rus	NOUN
ajsts-2912	145	7	)	)	PUNCT
ajsts-2912	145	8	despite	despite	SCONJ
ajsts-2912	145	9	balancing	balance	VERB
ajsts-2912	145	10	class	class	NOUN
ajsts-2912	145	11	distribution	distribution	NOUN
ajsts-2912	145	12	,	,	PUNCT
ajsts-2912	145	13	rus	rus	NOUN
ajsts-2912	145	14	lead	lead	NOUN
ajsts-2912	145	15	to	to	ADP
ajsts-2912	145	16	a	a	DET
ajsts-2912	145	17	reduced	reduced	ADJ
ajsts-2912	145	18	accuracy	accuracy	NOUN
ajsts-2912	145	19	of	of	ADP
ajsts-2912	145	20	84	84	NUM
ajsts-2912	145	21	%	%	NOUN
ajsts-2912	145	22	.	.	PUNCT
ajsts-2912	146	1	while	while	SCONJ
ajsts-2912	146	2	achieving	achieve	VERB
ajsts-2912	146	3	a	a	DET
ajsts-2912	146	4	perfect	perfect	ADJ
ajsts-2912	146	5	f1score	f1score	NOUN
ajsts-2912	146	6	for	for	ADP
ajsts-2912	146	7	the	the	DET
ajsts-2912	146	8	“	"	PUNCT
ajsts-2912	146	9	injection	injection	NOUN
ajsts-2912	146	10	”	"	PUNCT
ajsts-2912	146	11	class	class	NOUN
ajsts-2912	146	12	,	,	PUNCT
ajsts-2912	146	13	the	the	DET
ajsts-2912	146	14	model	model	NOUN
ajsts-2912	146	15	performance	performance	NOUN
ajsts-2912	146	16	was	be	AUX
ajsts-2912	146	17	significantly	significantly	ADV
ajsts-2912	146	18	weakened	weaken	VERB
ajsts-2912	146	19	across	across	ADP
ajsts-2912	146	20	other	other	ADJ
ajsts-2912	146	21	classes	class	NOUN
ajsts-2912	146	22	,	,	PUNCT
ajsts-2912	146	23	resulting	result	VERB
ajsts-2912	146	24	in	in	ADP
ajsts-2912	146	25	low	low	ADJ
ajsts-2912	146	26	precision	precision	NOUN
ajsts-2912	146	27	and	and	CCONJ
ajsts-2912	146	28	recall	recall	NOUN
ajsts-2912	146	29	.	.	PUNCT
ajsts-2912	147	1	smote	smote	VERB
ajsts-2912	147	2	(	(	PUNCT
ajsts-2912	147	3	synthetic	synthetic	ADJ
ajsts-2912	147	4	minority	minority	NOUN
ajsts-2912	147	5	over	over	ADP
ajsts-2912	147	6	-	-	PUNCT
ajsts-2912	147	7	sampling	sample	VERB
ajsts-2912	147	8	technique	technique	NOUN
ajsts-2912	147	9	)	)	PUNCT
ajsts-2912	147	10	smote	smote	NOUN
ajsts-2912	147	11	achieved	achieve	VERB
ajsts-2912	147	12	a	a	DET
ajsts-2912	147	13	commendable	commendable	ADJ
ajsts-2912	147	14	accuracy	accuracy	NOUN
ajsts-2912	147	15	of	of	ADP
ajsts-2912	147	16	99	99	NUM
ajsts-2912	147	17	%	%	NOUN
ajsts-2912	147	18	,	,	PUNCT
ajsts-2912	147	19	maintaining	maintain	VERB
ajsts-2912	147	20	excellent	excellent	ADJ
ajsts-2912	147	21	precision	precision	NOUN
ajsts-2912	147	22	and	and	CCONJ
ajsts-2912	147	23	recall	recall	NOUN
ajsts-2912	147	24	for	for	ADP
ajsts-2912	147	25	“	"	PUNCT
ajsts-2912	147	26	normal	normal	ADJ
ajsts-2912	147	27	”	"	PUNCT
ajsts-2912	147	28	and	and	CCONJ
ajsts-2912	147	29	“	"	PUNCT
ajsts-2912	147	30	injection	injection	NOUN
ajsts-2912	147	31	”	"	PUNCT
ajsts-2912	147	32	classes	class	NOUN
ajsts-2912	147	33	,	,	PUNCT
ajsts-2912	147	34	resulting	result	VERB
ajsts-2912	147	35	in	in	ADP
ajsts-2912	147	36	high	high	ADJ
ajsts-2912	147	37	f1	f1	NOUN
ajsts-2912	147	38	scores	score	NOUN
ajsts-2912	147	39	.	.	PUNCT
ajsts-2912	148	1	however	however	ADV
ajsts-2912	148	2	,	,	PUNCT
ajsts-2912	148	3	relatively	relatively	ADV
ajsts-2912	148	4	lower	low	ADJ
ajsts-2912	148	5	f1	f1	NOUN
ajsts-2912	148	6	scores	score	NOUN
ajsts-2912	148	7	for	for	ADP
ajsts-2912	148	8	“	"	PUNCT
ajsts-2912	148	9	xss	xss	PROPN
ajsts-2912	148	10	”	"	PUNCT
ajsts-2912	148	11	and	and	CCONJ
ajsts-2912	148	12	“	"	PUNCT
ajsts-2912	148	13	backdoor	backdoor	NOUN
ajsts-2912	148	14	”	"	PUNCT
ajsts-2912	148	15	suggested	suggest	VERB
ajsts-2912	148	16	potential	potential	ADJ
ajsts-2912	148	17	areas	area	NOUN
ajsts-2912	148	18	for	for	ADP
ajsts-2912	148	19	improvement	improvement	NOUN
ajsts-2912	148	20	.	.	PUNCT
ajsts-2912	149	1	smote	smote	VERB
ajsts-2912	149	2	effectively	effectively	ADV
ajsts-2912	149	3	addressed	address	VERB
ajsts-2912	149	4	class	class	NOUN
ajsts-2912	149	5	imbalance	imbalance	NOUN
ajsts-2912	149	6	by	by	ADP
ajsts-2912	149	7	generating	generate	VERB
ajsts-2912	149	8	synthetic	synthetic	ADJ
ajsts-2912	149	9	instances	instance	NOUN
ajsts-2912	149	10	.	.	PUNCT
ajsts-2912	150	1	adasyn	adasyn	NOUN
ajsts-2912	150	2	(	(	PUNCT
ajsts-2912	150	3	adaptive	adaptive	ADJ
ajsts-2912	150	4	synthetic	synthetic	ADJ
ajsts-2912	150	5	sampling	sampling	NOUN
ajsts-2912	150	6	)	)	PUNCT
ajsts-2912	150	7	similarly	similarly	ADV
ajsts-2912	150	8	achieving	achieve	VERB
ajsts-2912	150	9	a	a	DET
ajsts-2912	150	10	high	high	ADJ
ajsts-2912	150	11	accuracy	accuracy	NOUN
ajsts-2912	150	12	of	of	ADP
ajsts-2912	150	13	99	99	NUM
ajsts-2912	150	14	%	%	NOUN
ajsts-2912	150	15	,	,	PUNCT
ajsts-2912	150	16	adasyn	adasyn	PROPN
ajsts-2912	150	17	sustained	sustain	VERB
ajsts-2912	150	18	robust	robust	ADJ
ajsts-2912	150	19	precision	precision	NOUN
ajsts-2912	150	20	and	and	CCONJ
ajsts-2912	150	21	recall	recall	NOUN
ajsts-2912	150	22	for	for	ADP
ajsts-2912	150	23	“	"	PUNCT
ajsts-2912	150	24	normal	normal	ADJ
ajsts-2912	150	25	”	"	PUNCT
ajsts-2912	150	26	and	and	CCONJ
ajsts-2912	150	27	“	"	PUNCT
ajsts-2912	150	28	injection	injection	NOUN
ajsts-2912	150	29	”	"	PUNCT
ajsts-2912	150	30	classes	class	NOUN
ajsts-2912	150	31	,	,	PUNCT
ajsts-2912	150	32	resulting	result	VERB
ajsts-2912	150	33	in	in	ADP
ajsts-2912	150	34	high	high	ADJ
ajsts-2912	150	35	f1	f1	NOUN
ajsts-2912	150	36	scores	score	NOUN
ajsts-2912	150	37	.	.	PUNCT
ajsts-2912	151	1	figure	figure	NOUN
ajsts-2912	151	2	5	5	NUM
ajsts-2912	151	3	:	:	PUNCT
ajsts-2912	151	4	iot_gps_tracker	iot_gps_tracker	X
ajsts-2912	151	5	dataset	dataset	ADJ
ajsts-2912	151	6	classification	classification	NOUN
ajsts-2912	151	7	reports	report	NOUN
ajsts-2912	151	8	of	of	ADP
ajsts-2912	151	9	the	the	DET
ajsts-2912	151	10	used	use	VERB
ajsts-2912	151	11	resampling	resample	VERB
ajsts-2912	151	12	techniques	technique	NOUN
ajsts-2912	151	13	figure	figure	NOUN
ajsts-2912	151	14	6	6	NUM
ajsts-2912	151	15	:	:	PUNCT
ajsts-2912	151	16	heat	heat	NOUN
ajsts-2912	151	17	maps	map	NOUN
ajsts-2912	151	18	showcase	showcase	VERB
ajsts-2912	151	19	the	the	DET
ajsts-2912	151	20	resampling	resample	VERB
ajsts-2912	151	21	techniques	technique	NOUN
ajsts-2912	151	22	employed	employ	VERB
ajsts-2912	151	23	on	on	ADP
ajsts-2912	151	24	the	the	DET
ajsts-2912	151	25	iot_modbus	iot_modbus	NOUN
ajsts-2912	151	26	dataset	dataset	NOUN
ajsts-2912	151	27	.	.	PUNCT
ajsts-2912	152	1	pa	pa	PROPN
ajsts-2912	152	2	ge	ge	PROPN
ajsts-2912	152	3	22	22	NUM
ajsts-2912	152	4	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	152	5	am	be	AUX
ajsts-2912	152	6	.	.	PUNCT
ajsts-2912	153	1	j.	j.	PROPN
ajsts-2912	153	2	smart	smart	PROPN
ajsts-2912	153	3	.	.	PUNCT
ajsts-2912	154	1	technol	technol	PROPN
ajsts-2912	154	2	.	.	PUNCT
ajsts-2912	154	3	solutions	solution	NOUN
ajsts-2912	154	4	4(1	4(1	NOUN
ajsts-2912	154	5	)	)	PUNCT
ajsts-2912	154	6	16	16	NUM
ajsts-2912	154	7	-	-	SYM
ajsts-2912	154	8	24	24	NUM
ajsts-2912	154	9	,	,	PUNCT
ajsts-2912	154	10	2025	2025	NUM
ajsts-2912	154	11	nevertheless	nevertheless	ADV
ajsts-2912	154	12	,	,	PUNCT
ajsts-2912	154	13	there	there	PRON
ajsts-2912	154	14	was	be	VERB
ajsts-2912	154	15	an	an	DET
ajsts-2912	154	16	area	area	NOUN
ajsts-2912	154	17	for	for	ADP
ajsts-2912	154	18	enhancement	enhancement	NOUN
ajsts-2912	154	19	in	in	ADP
ajsts-2912	154	20	f1scores	f1score	NOUN
ajsts-2912	154	21	for	for	ADP
ajsts-2912	154	22	“	"	PUNCT
ajsts-2912	154	23	xss	xss	PROPN
ajsts-2912	154	24	”	"	PUNCT
ajsts-2912	154	25	and	and	CCONJ
ajsts-2912	154	26	“	"	PUNCT
ajsts-2912	154	27	backdoor	backdoor	NOUN
ajsts-2912	154	28	,	,	PUNCT
ajsts-2912	154	29	”	"	PUNCT
ajsts-2912	154	30	signifying	signify	VERB
ajsts-2912	154	31	potential	potential	ADJ
ajsts-2912	154	32	improvements	improvement	NOUN
ajsts-2912	154	33	.	.	PUNCT
ajsts-2912	155	1	adasyn	adasyn	PROPN
ajsts-2912	155	2	effectively	effectively	ADV
ajsts-2912	155	3	mitigates	mitigate	VERB
ajsts-2912	155	4	class	class	NOUN
ajsts-2912	155	5	imbalance	imbalance	NOUN
ajsts-2912	155	6	through	through	ADP
ajsts-2912	155	7	adaptive	adaptive	ADJ
ajsts-2912	155	8	synthetic	synthetic	ADJ
ajsts-2912	155	9	sampling	sampling	NOUN
ajsts-2912	155	10	.	.	PUNCT
ajsts-2912	156	1	this	this	DET
ajsts-2912	156	2	analysis	analysis	NOUN
ajsts-2912	156	3	offered	offer	VERB
ajsts-2912	156	4	insights	insight	NOUN
ajsts-2912	156	5	into	into	ADP
ajsts-2912	156	6	the	the	DET
ajsts-2912	156	7	relative	relative	ADJ
ajsts-2912	156	8	effectiveness	effectiveness	NOUN
ajsts-2912	156	9	of	of	ADP
ajsts-2912	156	10	each	each	DET
ajsts-2912	156	11	resampling	resample	VERB
ajsts-2912	156	12	approach	approach	NOUN
ajsts-2912	156	13	concerning	concern	VERB
ajsts-2912	156	14	precision	precision	NOUN
ajsts-2912	156	15	,	,	PUNCT
ajsts-2912	156	16	recall	recall	NOUN
ajsts-2912	156	17	,	,	PUNCT
ajsts-2912	156	18	f1	f1	NOUN
ajsts-2912	156	19	scores	score	NOUN
ajsts-2912	156	20	,	,	PUNCT
ajsts-2912	156	21	and	and	CCONJ
ajsts-2912	156	22	accuracy	accuracy	NOUN
ajsts-2912	156	23	across	across	ADP
ajsts-2912	156	24	different	different	ADJ
ajsts-2912	156	25	classes	class	NOUN
ajsts-2912	156	26	.	.	PUNCT
ajsts-2912	157	1	rus	rus	NOUN
ajsts-2912	157	2	’s	’s	PART
ajsts-2912	157	3	overall	overall	ADJ
ajsts-2912	157	4	performance	performance	NOUN
ajsts-2912	157	5	has	have	AUX
ajsts-2912	157	6	been	be	AUX
ajsts-2912	157	7	compromised	compromise	VERB
ajsts-2912	157	8	despite	despite	SCONJ
ajsts-2912	157	9	its	its	PRON
ajsts-2912	157	10	improvement	improvement	NOUN
ajsts-2912	157	11	in	in	ADP
ajsts-2912	157	12	the	the	DET
ajsts-2912	157	13	“	"	PUNCT
ajsts-2912	157	14	injection	injection	NOUN
ajsts-2912	157	15	”	"	PUNCT
ajsts-2912	157	16	class	class	NOUN
ajsts-2912	157	17	.	.	PUNCT
ajsts-2912	158	1	these	these	DET
ajsts-2912	158	2	findings	finding	NOUN
ajsts-2912	158	3	informed	inform	VERB
ajsts-2912	158	4	conclusions	conclusion	NOUN
ajsts-2912	158	5	regarding	regard	VERB
ajsts-2912	158	6	the	the	DET
ajsts-2912	158	7	suitability	suitability	NOUN
ajsts-2912	158	8	of	of	ADP
ajsts-2912	158	9	resampling	resample	VERB
ajsts-2912	158	10	techniques	technique	NOUN
ajsts-2912	158	11	in	in	ADP
ajsts-2912	158	12	addressing	address	VERB
ajsts-2912	158	13	class	class	NOUN
ajsts-2912	158	14	imbalance	imbalance	NOUN
ajsts-2912	158	15	within	within	ADP
ajsts-2912	158	16	a	a	DET
ajsts-2912	158	17	multi	multi	ADJ
ajsts-2912	158	18	-	-	ADJ
ajsts-2912	158	19	class	class	ADJ
ajsts-2912	158	20	scenario	scenario	NOUN
ajsts-2912	158	21	.	.	PUNCT
ajsts-2912	159	1	heat	heat	NOUN
ajsts-2912	159	2	maps	map	NOUN
ajsts-2912	159	3	were	be	AUX
ajsts-2912	159	4	generated	generate	VERB
ajsts-2912	159	5	to	to	PART
ajsts-2912	159	6	represent	represent	VERB
ajsts-2912	159	7	the	the	DET
ajsts-2912	159	8	resampling	resample	VERB
ajsts-2912	159	9	techniques	technique	NOUN
ajsts-2912	159	10	employed	employ	VERB
ajsts-2912	159	11	on	on	ADP
ajsts-2912	159	12	the	the	DET
ajsts-2912	159	13	iot_modbus	iot_modbus	NOUN
ajsts-2912	159	14	dataset	dataset	NOUN
ajsts-2912	159	15	,	,	PUNCT
ajsts-2912	159	16	as	as	SCONJ
ajsts-2912	159	17	shown	show	VERB
ajsts-2912	159	18	in	in	ADP
ajsts-2912	159	19	figures	figure	NOUN
ajsts-2912	159	20	6	6	NUM
ajsts-2912	159	21	and	and	CCONJ
ajsts-2912	159	22	7	7	NUM
ajsts-2912	159	23	.	.	X
ajsts-2912	159	24	conclusion	conclusion	NOUN
ajsts-2912	159	25	the	the	DET
ajsts-2912	159	26	study	study	NOUN
ajsts-2912	159	27	examined	examine	VERB
ajsts-2912	159	28	the	the	DET
ajsts-2912	159	29	impact	impact	NOUN
ajsts-2912	159	30	of	of	ADP
ajsts-2912	159	31	resampling	resample	VERB
ajsts-2912	159	32	techniques	technique	NOUN
ajsts-2912	159	33	on	on	ADP
ajsts-2912	159	34	classification	classification	NOUN
ajsts-2912	159	35	models	model	NOUN
ajsts-2912	159	36	in	in	ADP
ajsts-2912	159	37	class	class	NOUN
ajsts-2912	159	38	-	-	PUNCT
ajsts-2912	159	39	imbalanced	imbalance	VERB
ajsts-2912	159	40	iot	iot	ADJ
ajsts-2912	159	41	datasets	dataset	NOUN
ajsts-2912	159	42	.	.	PUNCT
ajsts-2912	160	1	it	it	PRON
ajsts-2912	160	2	found	find	VERB
ajsts-2912	160	3	that	that	SCONJ
ajsts-2912	160	4	support	support	NOUN
ajsts-2912	160	5	vector	vector	NOUN
ajsts-2912	160	6	classifier	classifier	NOUN
ajsts-2912	160	7	(	(	PUNCT
ajsts-2912	160	8	svc	svc	PROPN
ajsts-2912	160	9	)	)	PUNCT
ajsts-2912	160	10	and	and	CCONJ
ajsts-2912	160	11	random	random	ADJ
ajsts-2912	160	12	forest	forest	NOUN
ajsts-2912	160	13	classifier	classifier	NOUN
ajsts-2912	160	14	(	(	PUNCT
ajsts-2912	160	15	rf	rf	NOUN
ajsts-2912	160	16	)	)	PUNCT
ajsts-2912	160	17	performed	perform	VERB
ajsts-2912	160	18	biasedly	biasedly	ADV
ajsts-2912	160	19	on	on	ADP
ajsts-2912	160	20	unbalanced	unbalanced	ADJ
ajsts-2912	160	21	datasets	dataset	NOUN
ajsts-2912	160	22	,	,	PUNCT
ajsts-2912	160	23	highlighting	highlight	VERB
ajsts-2912	160	24	the	the	DET
ajsts-2912	160	25	issue	issue	NOUN
ajsts-2912	160	26	of	of	ADP
ajsts-2912	160	27	class	class	NOUN
ajsts-2912	160	28	imbalance	imbalance	NOUN
ajsts-2912	160	29	in	in	ADP
ajsts-2912	160	30	machine	machine	NOUN
ajsts-2912	160	31	learning	learning	NOUN
ajsts-2912	160	32	tasks	task	NOUN
ajsts-2912	160	33	.	.	PUNCT
ajsts-2912	161	1	resampling	resample	VERB
ajsts-2912	161	2	strategies	strategy	NOUN
ajsts-2912	161	3	improved	improve	VERB
ajsts-2912	161	4	the	the	DET
ajsts-2912	161	5	performance	performance	NOUN
ajsts-2912	161	6	of	of	ADP
ajsts-2912	161	7	svc	svc	PROPN
ajsts-2912	161	8	and	and	CCONJ
ajsts-2912	161	9	rf	rf	NOUN
ajsts-2912	161	10	classifiers	classifier	NOUN
ajsts-2912	161	11	,	,	PUNCT
ajsts-2912	161	12	with	with	ADP
ajsts-2912	161	13	hybrid	hybrid	ADJ
ajsts-2912	161	14	approaches	approach	NOUN
ajsts-2912	161	15	like	like	ADP
ajsts-2912	161	16	smote	smote	NOUN
ajsts-2912	161	17	and	and	CCONJ
ajsts-2912	161	18	oversampling	oversample	VERB
ajsts-2912	161	19	techniques	technique	NOUN
ajsts-2912	161	20	like	like	ADP
ajsts-2912	161	21	adasyn	adasyn	NOUN
ajsts-2912	161	22	enabling	enable	VERB
ajsts-2912	161	23	rebalancing	rebalancing	NOUN
ajsts-2912	161	24	class	class	NOUN
ajsts-2912	161	25	distributions	distribution	NOUN
ajsts-2912	161	26	and	and	CCONJ
ajsts-2912	161	27	enhancing	enhance	VERB
ajsts-2912	161	28	model	model	NOUN
ajsts-2912	161	29	performance	performance	NOUN
ajsts-2912	161	30	.	.	PUNCT
ajsts-2912	162	1	rf	rf	PRON
ajsts-2912	162	2	consistently	consistently	ADV
ajsts-2912	162	3	outperformed	outperform	VERB
ajsts-2912	162	4	svc	svc	PROPN
ajsts-2912	162	5	in	in	ADP
ajsts-2912	162	6	resampling	resample	VERB
ajsts-2912	162	7	scenarios	scenario	NOUN
ajsts-2912	162	8	,	,	PUNCT
ajsts-2912	162	9	achieving	achieve	VERB
ajsts-2912	162	10	superior	superior	ADJ
ajsts-2912	162	11	accuracy	accuracy	NOUN
ajsts-2912	162	12	,	,	PUNCT
ajsts-2912	162	13	precision	precision	NOUN
ajsts-2912	162	14	,	,	PUNCT
ajsts-2912	162	15	recall	recall	NOUN
ajsts-2912	162	16	,	,	PUNCT
ajsts-2912	162	17	and	and	CCONJ
ajsts-2912	162	18	f1	f1	NOUN
ajsts-2912	162	19	-	-	PUNCT
ajsts-2912	162	20	score	score	NOUN
ajsts-2912	162	21	.	.	PUNCT
ajsts-2912	163	1	the	the	DET
ajsts-2912	163	2	study	study	NOUN
ajsts-2912	163	3	emphasized	emphasize	VERB
ajsts-2912	163	4	the	the	DET
ajsts-2912	163	5	importance	importance	NOUN
ajsts-2912	163	6	of	of	ADP
ajsts-2912	163	7	resampling	resample	VERB
ajsts-2912	163	8	techniques	technique	NOUN
ajsts-2912	163	9	in	in	ADP
ajsts-2912	163	10	scenarios	scenario	NOUN
ajsts-2912	163	11	marked	mark	VERB
ajsts-2912	163	12	by	by	ADP
ajsts-2912	163	13	class	class	NOUN
ajsts-2912	163	14	imbalance	imbalance	NOUN
ajsts-2912	163	15	to	to	PART
ajsts-2912	163	16	enhance	enhance	VERB
ajsts-2912	163	17	the	the	DET
ajsts-2912	163	18	accuracy	accuracy	NOUN
ajsts-2912	163	19	and	and	CCONJ
ajsts-2912	163	20	reliability	reliability	NOUN
ajsts-2912	163	21	of	of	ADP
ajsts-2912	163	22	classification	classification	NOUN
ajsts-2912	163	23	models	model	NOUN
ajsts-2912	163	24	in	in	ADP
ajsts-2912	163	25	practical	practical	ADJ
ajsts-2912	163	26	applications	application	NOUN
ajsts-2912	163	27	.	.	PUNCT
ajsts-2912	164	1	future	future	ADJ
ajsts-2912	164	2	research	research	NOUN
ajsts-2912	164	3	could	could	AUX
ajsts-2912	164	4	explore	explore	VERB
ajsts-2912	164	5	hyperparameter	hyperparameter	NOUN
ajsts-2912	164	6	tuning	tuning	NOUN
ajsts-2912	164	7	’s	’s	PART
ajsts-2912	164	8	effects	effect	NOUN
ajsts-2912	164	9	on	on	ADP
ajsts-2912	164	10	model	model	NOUN
ajsts-2912	164	11	performance	performance	NOUN
ajsts-2912	164	12	and	and	CCONJ
ajsts-2912	164	13	explore	explore	VERB
ajsts-2912	164	14	the	the	DET
ajsts-2912	164	15	applicability	applicability	NOUN
ajsts-2912	164	16	of	of	ADP
ajsts-2912	164	17	these	these	DET
ajsts-2912	164	18	techniques	technique	NOUN
ajsts-2912	164	19	in	in	ADP
ajsts-2912	164	20	domains	domain	NOUN
ajsts-2912	164	21	like	like	ADP
ajsts-2912	164	22	cybersecurity	cybersecurity	NOUN
ajsts-2912	164	23	,	,	PUNCT
ajsts-2912	164	24	fraud	fraud	NOUN
ajsts-2912	164	25	detection	detection	NOUN
ajsts-2912	164	26	,	,	PUNCT
ajsts-2912	164	27	and	and	CCONJ
ajsts-2912	164	28	medical	medical	ADJ
ajsts-2912	164	29	diagnosis	diagnosis	NOUN
ajsts-2912	164	30	.	.	PUNCT
ajsts-2912	165	1	future	future	ADJ
ajsts-2912	165	2	implications	implication	NOUN
ajsts-2912	165	3	this	this	DET
ajsts-2912	165	4	subsequent	subsequent	ADJ
ajsts-2912	165	5	study	study	NOUN
ajsts-2912	165	6	may	may	AUX
ajsts-2912	165	7	investigate	investigate	VERB
ajsts-2912	165	8	several	several	ADJ
ajsts-2912	165	9	directions	direction	NOUN
ajsts-2912	165	10	to	to	PART
ajsts-2912	165	11	expand	expand	VERB
ajsts-2912	165	12	our	our	PRON
ajsts-2912	165	13	comprehension	comprehension	NOUN
ajsts-2912	165	14	and	and	CCONJ
ajsts-2912	165	15	improve	improve	VERB
ajsts-2912	165	16	the	the	DET
ajsts-2912	165	17	usefulness	usefulness	NOUN
ajsts-2912	165	18	of	of	ADP
ajsts-2912	165	19	resolving	resolve	VERB
ajsts-2912	165	20	class	class	NOUN
ajsts-2912	165	21	imbalance	imbalance	NOUN
ajsts-2912	165	22	in	in	ADP
ajsts-2912	165	23	iot	iot	ADJ
ajsts-2912	165	24	datasets	dataset	NOUN
ajsts-2912	165	25	.	.	PUNCT
ajsts-2912	166	1	exploring	explore	VERB
ajsts-2912	166	2	hybrid	hybrid	NOUN
ajsts-2912	166	3	or	or	CCONJ
ajsts-2912	166	4	adaptive	adaptive	ADJ
ajsts-2912	166	5	resampling	resampling	NOUN
ajsts-2912	166	6	methodologies	methodology	NOUN
ajsts-2912	166	7	might	might	AUX
ajsts-2912	166	8	mitigate	mitigate	VERB
ajsts-2912	166	9	trade	trade	NOUN
ajsts-2912	166	10	-	-	PUNCT
ajsts-2912	166	11	offs	off	NOUN
ajsts-2912	166	12	observed	observe	VERB
ajsts-2912	166	13	in	in	ADP
ajsts-2912	166	14	current	current	ADJ
ajsts-2912	166	15	techniques	technique	NOUN
ajsts-2912	166	16	and	and	CCONJ
ajsts-2912	166	17	potentially	potentially	ADV
ajsts-2912	166	18	boost	boost	VERB
ajsts-2912	166	19	overall	overall	ADJ
ajsts-2912	166	20	classification	classification	NOUN
ajsts-2912	166	21	performance	performance	NOUN
ajsts-2912	166	22	.	.	PUNCT
ajsts-2912	167	1	examine	examine	VERB
ajsts-2912	167	2	how	how	SCONJ
ajsts-2912	167	3	well	well	ADV
ajsts-2912	167	4	ensemble	ensemble	ADJ
ajsts-2912	167	5	learning	learning	NOUN
ajsts-2912	167	6	methods	method	NOUN
ajsts-2912	167	7	-	-	PUNCT
ajsts-2912	167	8	like	like	ADJ
ajsts-2912	167	9	bagging	bagging	NOUN
ajsts-2912	167	10	,	,	PUNCT
ajsts-2912	167	11	boosting	boost	VERB
ajsts-2912	167	12	,	,	PUNCT
ajsts-2912	167	13	or	or	CCONJ
ajsts-2912	167	14	stacking	stacking	NOUN
ajsts-2912	167	15	-	-	NOUN
ajsts-2912	167	16	work	work	NOUN
ajsts-2912	167	17	with	with	ADP
ajsts-2912	167	18	resampling	resample	VERB
ajsts-2912	167	19	techniques	technique	NOUN
ajsts-2912	167	20	to	to	PART
ajsts-2912	167	21	enhance	enhance	VERB
ajsts-2912	167	22	model	model	NOUN
ajsts-2912	167	23	robustness	robustness	NOUN
ajsts-2912	167	24	and	and	CCONJ
ajsts-2912	167	25	performance	performance	NOUN
ajsts-2912	167	26	in	in	ADP
ajsts-2912	167	27	unbalanced	unbalanced	ADJ
ajsts-2912	167	28	iot	iot	ADJ
ajsts-2912	167	29	datasets	dataset	NOUN
ajsts-2912	167	30	.	.	PUNCT
ajsts-2912	168	1	by	by	ADP
ajsts-2912	168	2	combining	combine	VERB
ajsts-2912	168	3	the	the	DET
ajsts-2912	168	4	advantages	advantage	NOUN
ajsts-2912	168	5	of	of	ADP
ajsts-2912	168	6	several	several	ADJ
ajsts-2912	168	7	classifiers	classifier	NOUN
ajsts-2912	168	8	and	and	CCONJ
ajsts-2912	168	9	resampling	resample	VERB
ajsts-2912	168	10	strategies	strategy	NOUN
ajsts-2912	168	11	,	,	PUNCT
ajsts-2912	168	12	ensemble	ensemble	ADJ
ajsts-2912	168	13	approaches	approach	NOUN
ajsts-2912	168	14	may	may	AUX
ajsts-2912	168	15	improve	improve	VERB
ajsts-2912	168	16	generalisation	generalisation	NOUN
ajsts-2912	168	17	and	and	CCONJ
ajsts-2912	168	18	prediction	prediction	NOUN
ajsts-2912	168	19	accuracy	accuracy	NOUN
ajsts-2912	168	20	.	.	PUNCT
ajsts-2912	169	1	the	the	DET
ajsts-2912	169	2	study	study	NOUN
ajsts-2912	169	3	explores	explore	VERB
ajsts-2912	169	4	adaptive	adaptive	ADJ
ajsts-2912	169	5	resampling	resample	VERB
ajsts-2912	169	6	techniques	technique	NOUN
ajsts-2912	169	7	that	that	PRON
ajsts-2912	169	8	can	can	AUX
ajsts-2912	169	9	dynamically	dynamically	ADV
ajsts-2912	169	10	adjust	adjust	VERB
ajsts-2912	169	11	to	to	ADP
ajsts-2912	169	12	changes	change	NOUN
ajsts-2912	169	13	in	in	ADP
ajsts-2912	169	14	the	the	DET
ajsts-2912	169	15	data	datum	NOUN
ajsts-2912	169	16	distribution	distribution	NOUN
ajsts-2912	169	17	.	.	PUNCT
ajsts-2912	170	1	ensuring	ensure	VERB
ajsts-2912	170	2	the	the	DET
ajsts-2912	170	3	ongoing	ongoing	ADJ
ajsts-2912	170	4	efficacy	efficacy	NOUN
ajsts-2912	170	5	of	of	ADP
ajsts-2912	170	6	class	class	NOUN
ajsts-2912	170	7	imbalance	imbalance	NOUN
ajsts-2912	170	8	mitigation	mitigation	NOUN
ajsts-2912	170	9	strategies	strategy	NOUN
ajsts-2912	170	10	in	in	ADP
ajsts-2912	170	11	practical	practical	ADJ
ajsts-2912	170	12	applications	application	NOUN
ajsts-2912	170	13	may	may	AUX
ajsts-2912	170	14	require	require	VERB
ajsts-2912	170	15	creating	create	VERB
ajsts-2912	170	16	algorithms	algorithm	NOUN
ajsts-2912	170	17	that	that	PRON
ajsts-2912	170	18	can	can	AUX
ajsts-2912	170	19	recognise	recognise	VERB
ajsts-2912	170	20	and	and	CCONJ
ajsts-2912	170	21	react	react	VERB
ajsts-2912	170	22	to	to	ADP
ajsts-2912	170	23	idea	idea	NOUN
ajsts-2912	170	24	drift	drift	NOUN
ajsts-2912	170	25	,	,	PUNCT
ajsts-2912	170	26	data	data	NOUN
ajsts-2912	170	27	drift	drift	NOUN
ajsts-2912	170	28	,	,	PUNCT
ajsts-2912	170	29	or	or	CCONJ
ajsts-2912	170	30	changing	change	VERB
ajsts-2912	170	31	class	class	NOUN
ajsts-2912	170	32	distributions	distribution	NOUN
ajsts-2912	170	33	in	in	ADP
ajsts-2912	170	34	iot	iot	ADJ
ajsts-2912	170	35	datasets	dataset	NOUN
ajsts-2912	170	36	.	.	PUNCT
ajsts-2912	171	1	the	the	DET
ajsts-2912	171	2	study	study	NOUN
ajsts-2912	171	3	suggests	suggest	VERB
ajsts-2912	171	4	that	that	SCONJ
ajsts-2912	171	5	exploring	explore	VERB
ajsts-2912	171	6	the	the	DET
ajsts-2912	171	7	compatibility	compatibility	NOUN
ajsts-2912	171	8	between	between	ADP
ajsts-2912	171	9	advanced	advanced	ADJ
ajsts-2912	171	10	classification	classification	NOUN
ajsts-2912	171	11	algorithms	algorithm	NOUN
ajsts-2912	171	12	and	and	CCONJ
ajsts-2912	171	13	resampling	resample	VERB
ajsts-2912	171	14	methods	method	NOUN
ajsts-2912	171	15	is	be	AUX
ajsts-2912	171	16	a	a	DET
ajsts-2912	171	17	promising	promising	ADJ
ajsts-2912	171	18	direction	direction	NOUN
ajsts-2912	171	19	.	.	PUNCT
ajsts-2912	172	1	this	this	DET
ajsts-2912	172	2	exploration	exploration	NOUN
ajsts-2912	172	3	could	could	AUX
ajsts-2912	172	4	unveil	unveil	VERB
ajsts-2912	172	5	enhanced	enhanced	ADJ
ajsts-2912	172	6	performance	performance	NOUN
ajsts-2912	172	7	in	in	ADP
ajsts-2912	172	8	complex	complex	ADJ
ajsts-2912	172	9	multi	multi	ADJ
ajsts-2912	172	10	-	-	ADJ
ajsts-2912	172	11	class	class	ADJ
ajsts-2912	172	12	scenarios	scenario	NOUN
ajsts-2912	172	13	,	,	PUNCT
ajsts-2912	172	14	presenting	present	VERB
ajsts-2912	172	15	opportunities	opportunity	NOUN
ajsts-2912	172	16	for	for	ADP
ajsts-2912	172	17	more	more	ADV
ajsts-2912	172	18	robust	robust	ADJ
ajsts-2912	172	19	and	and	CCONJ
ajsts-2912	172	20	accurate	accurate	ADJ
ajsts-2912	172	21	models	model	NOUN
ajsts-2912	172	22	.	.	PUNCT
ajsts-2912	173	1	moreover	moreover	ADV
ajsts-2912	173	2	,	,	PUNCT
ajsts-2912	173	3	examining	examine	VERB
ajsts-2912	173	4	the	the	DET
ajsts-2912	173	5	practical	practical	ADJ
ajsts-2912	173	6	implications	implication	NOUN
ajsts-2912	173	7	and	and	CCONJ
ajsts-2912	173	8	robustness	robustness	NOUN
ajsts-2912	173	9	of	of	ADP
ajsts-2912	173	10	these	these	DET
ajsts-2912	173	11	techniques	technique	NOUN
ajsts-2912	173	12	in	in	ADP
ajsts-2912	173	13	real	real	ADJ
ajsts-2912	173	14	-	-	PUNCT
ajsts-2912	173	15	world	world	NOUN
ajsts-2912	173	16	scenarios	scenario	NOUN
ajsts-2912	173	17	,	,	PUNCT
ajsts-2912	173	18	particularly	particularly	ADV
ajsts-2912	173	19	in	in	ADP
ajsts-2912	173	20	domains	domain	NOUN
ajsts-2912	173	21	where	where	SCONJ
ajsts-2912	173	22	accurate	accurate	ADJ
ajsts-2912	173	23	classification	classification	NOUN
ajsts-2912	173	24	is	be	AUX
ajsts-2912	173	25	imperative	imperative	ADJ
ajsts-2912	173	26	,	,	PUNCT
ajsts-2912	173	27	would	would	AUX
ajsts-2912	173	28	be	be	AUX
ajsts-2912	173	29	instrumental	instrumental	ADJ
ajsts-2912	173	30	.	.	PUNCT
ajsts-2912	174	1	this	this	PRON
ajsts-2912	174	2	includes	include	VERB
ajsts-2912	174	3	rigorous	rigorous	ADJ
ajsts-2912	174	4	testing	testing	NOUN
ajsts-2912	174	5	and	and	CCONJ
ajsts-2912	174	6	validation	validation	NOUN
ajsts-2912	174	7	of	of	ADP
ajsts-2912	174	8	these	these	DET
ajsts-2912	174	9	techniques	technique	NOUN
ajsts-2912	174	10	in	in	ADP
ajsts-2912	174	11	operational	operational	ADJ
ajsts-2912	174	12	settings	setting	NOUN
ajsts-2912	174	13	to	to	PART
ajsts-2912	174	14	gauge	gauge	VERB
ajsts-2912	174	15	their	their	PRON
ajsts-2912	174	16	effectiveness	effectiveness	NOUN
ajsts-2912	174	17	and	and	CCONJ
ajsts-2912	174	18	feasibility	feasibility	NOUN
ajsts-2912	174	19	beyond	beyond	ADP
ajsts-2912	174	20	controlled	control	VERB
ajsts-2912	174	21	experimental	experimental	ADJ
ajsts-2912	174	22	setups	setup	NOUN
ajsts-2912	174	23	.	.	PUNCT
ajsts-2912	175	1	validate	validate	VERB
ajsts-2912	175	2	the	the	DET
ajsts-2912	175	3	effectiveness	effectiveness	NOUN
ajsts-2912	175	4	of	of	ADP
ajsts-2912	175	5	the	the	DET
ajsts-2912	175	6	identified	identify	VERB
ajsts-2912	175	7	resampling	resample	VERB
ajsts-2912	175	8	techniques	technique	NOUN
ajsts-2912	175	9	and	and	CCONJ
ajsts-2912	175	10	classifiers	classifier	NOUN
ajsts-2912	175	11	through	through	ADP
ajsts-2912	175	12	deployment	deployment	NOUN
ajsts-2912	175	13	in	in	ADP
ajsts-2912	175	14	real	real	ADJ
ajsts-2912	175	15	-	-	PUNCT
ajsts-2912	175	16	world	world	NOUN
ajsts-2912	175	17	iot	iot	NOUN
ajsts-2912	175	18	environments	environment	NOUN
ajsts-2912	175	19	.	.	PUNCT
ajsts-2912	176	1	conduct	conduct	VERB
ajsts-2912	176	2	extensive	extensive	ADJ
ajsts-2912	176	3	evaluation	evaluation	NOUN
ajsts-2912	176	4	and	and	CCONJ
ajsts-2912	176	5	monitoring	monitoring	NOUN
ajsts-2912	176	6	of	of	ADP
ajsts-2912	176	7	model	model	NOUN
ajsts-2912	176	8	performance	performance	NOUN
ajsts-2912	176	9	under	under	ADP
ajsts-2912	176	10	practical	practical	ADJ
ajsts-2912	176	11	conditions	condition	NOUN
ajsts-2912	176	12	,	,	PUNCT
ajsts-2912	176	13	considering	consider	VERB
ajsts-2912	176	14	scalability	scalability	NOUN
ajsts-2912	176	15	,	,	PUNCT
ajsts-2912	176	16	reliability	reliability	NOUN
ajsts-2912	176	17	,	,	PUNCT
ajsts-2912	176	18	and	and	CCONJ
ajsts-2912	176	19	interpretability	interpretability	NOUN
ajsts-2912	176	20	factors	factor	NOUN
ajsts-2912	176	21	.	.	PUNCT
ajsts-2912	177	1	case	case	NOUN
ajsts-2912	177	2	studies	study	NOUN
ajsts-2912	177	3	and	and	CCONJ
ajsts-2912	177	4	field	field	NOUN
ajsts-2912	177	5	trials	trial	NOUN
ajsts-2912	177	6	in	in	ADP
ajsts-2912	177	7	diverse	diverse	ADJ
ajsts-2912	177	8	iot	iot	NOUN
ajsts-2912	177	9	domains	domain	NOUN
ajsts-2912	177	10	could	could	AUX
ajsts-2912	177	11	provide	provide	VERB
ajsts-2912	177	12	valuable	valuable	ADJ
ajsts-2912	177	13	insights	insight	NOUN
ajsts-2912	177	14	into	into	ADP
ajsts-2912	177	15	the	the	DET
ajsts-2912	177	16	applicability	applicability	NOUN
ajsts-2912	177	17	and	and	CCONJ
ajsts-2912	177	18	impact	impact	NOUN
ajsts-2912	177	19	of	of	ADP
ajsts-2912	177	20	class	class	NOUN
ajsts-2912	177	21	imbalance	imbalance	NOUN
ajsts-2912	177	22	mitigation	mitigation	NOUN
ajsts-2912	177	23	strategies	strategy	NOUN
ajsts-2912	177	24	in	in	ADP
ajsts-2912	177	25	real	real	ADJ
ajsts-2912	177	26	-	-	PUNCT
ajsts-2912	177	27	world	world	NOUN
ajsts-2912	177	28	settings	setting	NOUN
ajsts-2912	177	29	.	.	PUNCT
ajsts-2912	178	1	the	the	DET
ajsts-2912	178	2	project	project	NOUN
ajsts-2912	178	3	proposes	propose	VERB
ajsts-2912	178	4	frameworks	framework	NOUN
ajsts-2912	178	5	figure	figure	VERB
ajsts-2912	178	6	7	7	NUM
ajsts-2912	178	7	:	:	PUNCT
ajsts-2912	178	8	heat	heat	NOUN
ajsts-2912	178	9	maps	map	NOUN
ajsts-2912	178	10	showcase	showcase	VERB
ajsts-2912	178	11	the	the	DET
ajsts-2912	178	12	resampling	resample	VERB
ajsts-2912	178	13	techniques	technique	NOUN
ajsts-2912	178	14	employed	employ	VERB
ajsts-2912	178	15	on	on	ADP
ajsts-2912	178	16	the	the	DET
ajsts-2912	178	17	iot_gps_tracker	iot_gps_tracker	NOUN
ajsts-2912	178	18	dataset	dataset	VERB
ajsts-2912	178	19	pa	pa	PROPN
ajsts-2912	178	20	ge	ge	PROPN
ajsts-2912	178	21	23	23	NUM
ajsts-2912	178	22	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	178	23	am	be	AUX
ajsts-2912	178	24	.	.	PUNCT
ajsts-2912	179	1	j.	j.	PROPN
ajsts-2912	179	2	smart	smart	PROPN
ajsts-2912	179	3	.	.	PUNCT
ajsts-2912	180	1	technol	technol	PROPN
ajsts-2912	180	2	.	.	PUNCT
ajsts-2912	180	3	solutions	solution	NOUN
ajsts-2912	180	4	4(1	4(1	NOUN
ajsts-2912	180	5	)	)	PUNCT
ajsts-2912	180	6	16	16	NUM
ajsts-2912	180	7	-	-	SYM
ajsts-2912	180	8	24	24	NUM
ajsts-2912	180	9	,	,	PUNCT
ajsts-2912	180	10	2025	2025	NUM
ajsts-2912	180	11	and	and	CCONJ
ajsts-2912	180	12	automated	automate	VERB
ajsts-2912	180	13	methods	method	NOUN
ajsts-2912	180	14	for	for	ADP
ajsts-2912	180	15	selecting	select	VERB
ajsts-2912	180	16	suitable	suitable	ADJ
ajsts-2912	180	17	classifiers	classifier	NOUN
ajsts-2912	180	18	,	,	PUNCT
ajsts-2912	180	19	hyperparameters	hyperparameter	NOUN
ajsts-2912	180	20	,	,	PUNCT
ajsts-2912	180	21	and	and	CCONJ
ajsts-2912	180	22	resampling	resample	VERB
ajsts-2912	180	23	techniques	technique	NOUN
ajsts-2912	180	24	for	for	ADP
ajsts-2912	180	25	iot	iot	PROPN
ajsts-2912	180	26	dataset	dataset	PROPN
ajsts-2912	180	27	’s	’s	PART
ajsts-2912	180	28	properties	property	NOUN
ajsts-2912	180	29	.	.	PUNCT
ajsts-2912	181	1	the	the	DET
ajsts-2912	181	2	model	model	NOUN
ajsts-2912	181	3	creation	creation	NOUN
ajsts-2912	181	4	process	process	NOUN
ajsts-2912	181	5	might	might	AUX
ajsts-2912	181	6	be	be	AUX
ajsts-2912	181	7	streamlined	streamline	VERB
ajsts-2912	181	8	by	by	ADP
ajsts-2912	181	9	automated	automate	VERB
ajsts-2912	181	10	model	model	NOUN
ajsts-2912	181	11	selection	selection	NOUN
ajsts-2912	181	12	and	and	CCONJ
ajsts-2912	181	13	hyperparameter	hyperparameter	NOUN
ajsts-2912	181	14	tweaking	tweaking	NOUN
ajsts-2912	181	15	,	,	PUNCT
ajsts-2912	181	16	allowing	allow	VERB
ajsts-2912	181	17	practitioners	practitioner	NOUN
ajsts-2912	181	18	to	to	PART
ajsts-2912	181	19	quickly	quickly	ADV
ajsts-2912	181	20	find	find	VERB
ajsts-2912	181	21	and	and	CCONJ
ajsts-2912	181	22	implement	implement	VERB
ajsts-2912	181	23	efficient	efficient	ADJ
ajsts-2912	181	24	predictive	predictive	ADJ
ajsts-2912	181	25	models	model	NOUN
ajsts-2912	181	26	in	in	ADP
ajsts-2912	181	27	internet	internet	NOUN
ajsts-2912	181	28	of	of	ADP
ajsts-2912	181	29	things	thing	NOUN
ajsts-2912	181	30	applications	application	NOUN
ajsts-2912	181	31	.	.	PUNCT
ajsts-2912	182	1	the	the	DET
ajsts-2912	182	2	findings	finding	NOUN
ajsts-2912	182	3	of	of	ADP
ajsts-2912	182	4	this	this	DET
ajsts-2912	182	5	study	study	NOUN
ajsts-2912	182	6	provide	provide	VERB
ajsts-2912	182	7	a	a	DET
ajsts-2912	182	8	foundation	foundation	NOUN
ajsts-2912	182	9	for	for	ADP
ajsts-2912	182	10	future	future	ADJ
ajsts-2912	182	11	research	research	NOUN
ajsts-2912	182	12	,	,	PUNCT
ajsts-2912	182	13	emphasising	emphasise	VERB
ajsts-2912	182	14	the	the	DET
ajsts-2912	182	15	need	need	NOUN
ajsts-2912	182	16	for	for	ADP
ajsts-2912	182	17	tailored	tailor	VERB
ajsts-2912	182	18	techniques	technique	NOUN
ajsts-2912	182	19	and	and	CCONJ
ajsts-2912	182	20	their	their	PRON
ajsts-2912	182	21	practical	practical	ADJ
ajsts-2912	182	22	applications	application	NOUN
ajsts-2912	182	23	in	in	ADP
ajsts-2912	182	24	addressing	address	VERB
ajsts-2912	182	25	class	class	NOUN
ajsts-2912	182	26	imbalance	imbalance	NOUN
ajsts-2912	182	27	within	within	ADP
ajsts-2912	182	28	the	the	DET
ajsts-2912	182	29	dynamic	dynamic	ADJ
ajsts-2912	182	30	landscape	landscape	NOUN
ajsts-2912	182	31	of	of	ADP
ajsts-2912	182	32	iot	iot	ADJ
ajsts-2912	182	33	datasets	dataset	NOUN
ajsts-2912	182	34	.	.	PUNCT
ajsts-2912	183	1	the	the	DET
ajsts-2912	183	2	enhancement	enhancement	NOUN
ajsts-2912	183	3	of	of	ADP
ajsts-2912	183	4	the	the	DET
ajsts-2912	183	5	state	state	NOUN
ajsts-2912	183	6	-	-	PUNCT
ajsts-2912	183	7	of	of	ADP
ajsts-2912	183	8	-	-	PUNCT
ajsts-2912	183	9	the	the	DET
ajsts-2912	183	10	-	-	PUNCT
ajsts-2912	183	11	art	art	NOUN
ajsts-2912	183	12	in	in	ADP
ajsts-2912	183	13	-	-	PUNCT
ajsts-2912	183	14	class	class	NOUN
ajsts-2912	183	15	imbalance	imbalance	NOUN
ajsts-2912	183	16	mitigation	mitigation	NOUN
ajsts-2912	183	17	strategies	strategy	NOUN
ajsts-2912	183	18	for	for	ADP
ajsts-2912	183	19	iot	iot	ADJ
ajsts-2912	183	20	datasets	dataset	NOUN
ajsts-2912	183	21	by	by	ADP
ajsts-2912	183	22	addressing	address	VERB
ajsts-2912	183	23	these	these	DET
ajsts-2912	183	24	future	future	ADJ
ajsts-2912	183	25	research	research	NOUN
ajsts-2912	183	26	objectives	objective	NOUN
ajsts-2912	183	27	will	will	AUX
ajsts-2912	183	28	eventually	eventually	ADV
ajsts-2912	183	29	improve	improve	VERB
ajsts-2912	183	30	the	the	DET
ajsts-2912	183	31	predictive	predictive	ADJ
ajsts-2912	183	32	modelling	modelling	NOUN
ajsts-2912	183	33	’s	’s	PART
ajsts-2912	183	34	performance	performance	NOUN
ajsts-2912	183	35	,	,	PUNCT
ajsts-2912	183	36	scalability	scalability	NOUN
ajsts-2912	183	37	,	,	PUNCT
ajsts-2912	183	38	and	and	CCONJ
ajsts-2912	183	39	reliability	reliability	NOUN
ajsts-2912	183	40	in	in	ADP
ajsts-2912	183	41	various	various	ADJ
ajsts-2912	183	42	iot	iot	NOUN
ajsts-2912	183	43	applications	application	NOUN
ajsts-2912	183	44	.	.	PUNCT
ajsts-2912	184	1	acknowledgment	acknowledgment	NOUN
ajsts-2912	184	2	we	we	PRON
ajsts-2912	184	3	would	would	AUX
ajsts-2912	184	4	like	like	VERB
ajsts-2912	184	5	to	to	PART
ajsts-2912	184	6	express	express	VERB
ajsts-2912	184	7	our	our	PRON
ajsts-2912	184	8	gratitude	gratitude	NOUN
ajsts-2912	184	9	to	to	ADP
ajsts-2912	184	10	yousef	yousef	PROPN
ajsts-2912	184	11	qawqzeha	qawqzeha	ADV
ajsts-2912	184	12	from	from	ADP
ajsts-2912	184	13	the	the	DET
ajsts-2912	184	14	university	university	PROPN
ajsts-2912	184	15	of	of	ADP
ajsts-2912	184	16	fujairah	fujairah	PROPN
ajsts-2912	184	17	for	for	ADP
ajsts-2912	184	18	his	his	PRON
ajsts-2912	184	19	valuable	valuable	ADJ
ajsts-2912	184	20	contributions	contribution	NOUN
ajsts-2912	184	21	to	to	ADP
ajsts-2912	184	22	this	this	DET
ajsts-2912	184	23	research	research	NOUN
ajsts-2912	184	24	.	.	PUNCT
ajsts-2912	185	1	his	his	PRON
ajsts-2912	185	2	expertise	expertise	NOUN
ajsts-2912	185	3	and	and	CCONJ
ajsts-2912	185	4	dedication	dedication	NOUN
ajsts-2912	185	5	greatly	greatly	ADV
ajsts-2912	185	6	enriched	enrich	VERB
ajsts-2912	185	7	the	the	DET
ajsts-2912	185	8	development	development	NOUN
ajsts-2912	185	9	of	of	ADP
ajsts-2912	185	10	this	this	DET
ajsts-2912	185	11	study	study	NOUN
ajsts-2912	185	12	.	.	PUNCT
ajsts-2912	186	1	we	we	PRON
ajsts-2912	186	2	also	also	ADV
ajsts-2912	186	3	acknowledge	acknowledge	VERB
ajsts-2912	186	4	the	the	DET
ajsts-2912	186	5	support	support	NOUN
ajsts-2912	186	6	provided	provide	VERB
ajsts-2912	186	7	by	by	ADP
ajsts-2912	186	8	his	his	PRON
ajsts-2912	186	9	corresponding	corresponding	ADJ
ajsts-2912	186	10	author	author	NOUN
ajsts-2912	186	11	email	email	NOUN
ajsts-2912	186	12	(	(	PUNCT
ajsts-2912	186	13	yousefqawqzehaa@	yousefqawqzehaa@	X
ajsts-2912	186	14	outlook.com	outlook.com	NOUN
ajsts-2912	186	15	)	)	PUNCT
ajsts-2912	186	16	and	and	CCONJ
ajsts-2912	186	17	his	his	PRON
ajsts-2912	186	18	orcid	orcid	NOUN
ajsts-2912	186	19	(	(	PUNCT
ajsts-2912	186	20	0000	0000	NUM
ajsts-2912	186	21	-	-	PUNCT
ajsts-2912	186	22	0001	0001	NUM
ajsts-2912	186	23	-	-	PUNCT
ajsts-2912	186	24	7774	7774	NUM
ajsts-2912	186	25	-	-	PUNCT
ajsts-2912	186	26	062x	062x	NOUN
ajsts-2912	186	27	)	)	PUNCT
ajsts-2912	186	28	throughout	throughout	ADP
ajsts-2912	186	29	the	the	DET
ajsts-2912	186	30	research	research	NOUN
ajsts-2912	186	31	process	process	NOUN
ajsts-2912	186	32	.	.	PUNCT
ajsts-2912	187	1	references	reference	NOUN
ajsts-2912	187	2	abdi	abdi	PROPN
ajsts-2912	187	3	,	,	PUNCT
ajsts-2912	187	4	l.	l.	PROPN
ajsts-2912	187	5	,	,	PUNCT
ajsts-2912	187	6	&	&	CCONJ
ajsts-2912	187	7	hashemi	hashemi	PROPN
ajsts-2912	187	8	,	,	PUNCT
ajsts-2912	187	9	s.	s.	PROPN
ajsts-2912	187	10	(	(	PUNCT
ajsts-2912	187	11	2015	2015	NUM
ajsts-2912	187	12	)	)	PUNCT
ajsts-2912	187	13	.	.	PUNCT
ajsts-2912	188	1	to	to	PART
ajsts-2912	188	2	combat	combat	VERB
ajsts-2912	188	3	multi	multi	ADJ
ajsts-2912	188	4	-	-	ADJ
ajsts-2912	188	5	class	class	ADJ
ajsts-2912	188	6	imbalanced	imbalanced	ADJ
ajsts-2912	188	7	problems	problem	NOUN
ajsts-2912	188	8	by	by	ADP
ajsts-2912	188	9	means	mean	NOUN
ajsts-2912	188	10	of	of	ADP
ajsts-2912	188	11	over	over	ADP
ajsts-2912	188	12	-	-	PUNCT
ajsts-2912	188	13	sampling	sample	VERB
ajsts-2912	188	14	techniques	technique	NOUN
ajsts-2912	188	15	.	.	PUNCT
ajsts-2912	189	1	ieee	ieee	NOUN
ajsts-2912	189	2	transactions	transaction	NOUN
ajsts-2912	189	3	on	on	ADP
ajsts-2912	189	4	knowledge	knowledge	NOUN
ajsts-2912	189	5	and	and	CCONJ
ajsts-2912	189	6	data	datum	NOUN
ajsts-2912	189	7	engineering	engineering	NOUN
ajsts-2912	189	8	,	,	PUNCT
ajsts-2912	189	9	28(1	28(1	NOUN
ajsts-2912	189	10	)	)	PUNCT
ajsts-2912	189	11	,	,	PUNCT
ajsts-2912	189	12	238	238	NUM
ajsts-2912	189	13	-	-	SYM
ajsts-2912	189	14	251	251	NUM
ajsts-2912	189	15	.	.	PUNCT
ajsts-2912	190	1	atuhurra	atuhurra	PROPN
ajsts-2912	190	2	,	,	PUNCT
ajsts-2912	190	3	j.	j.	PROPN
ajsts-2912	190	4	,	,	PUNCT
ajsts-2912	190	5	hara	hara	PROPN
ajsts-2912	190	6	,	,	PUNCT
ajsts-2912	190	7	t.	t.	PROPN
ajsts-2912	190	8	,	,	PUNCT
ajsts-2912	190	9	zhang	zhang	PROPN
ajsts-2912	190	10	,	,	PUNCT
ajsts-2912	190	11	y.	y.	PROPN
ajsts-2912	190	12	,	,	PUNCT
ajsts-2912	190	13	sasabe	sasabe	PROPN
ajsts-2912	190	14	,	,	PUNCT
ajsts-2912	190	15	m.	m.	NOUN
ajsts-2912	190	16	,	,	PUNCT
ajsts-2912	190	17	&	&	CCONJ
ajsts-2912	190	18	kasahara	kasahara	PROPN
ajsts-2912	190	19	,	,	PUNCT
ajsts-2912	190	20	s.	s.	PROPN
ajsts-2912	190	21	(	(	PUNCT
ajsts-2912	190	22	2024	2024	NUM
ajsts-2912	190	23	)	)	PUNCT
ajsts-2912	190	24	.	.	PUNCT
ajsts-2912	191	1	dealing	deal	VERB
ajsts-2912	191	2	with	with	ADP
ajsts-2912	191	3	imbalanced	imbalanced	ADJ
ajsts-2912	191	4	classes	class	NOUN
ajsts-2912	191	5	in	in	ADP
ajsts-2912	191	6	botiot	botiot	ADJ
ajsts-2912	191	7	dataset	dataset	NOUN
ajsts-2912	191	8	.	.	PUNCT
ajsts-2912	192	1	arxiv	arxiv	PROPN
ajsts-2912	192	2	preprint	preprint	PROPN
ajsts-2912	192	3	arxiv:2403.18989	arxiv:2403.18989	PROPN
ajsts-2912	192	4	.	.	PUNCT
ajsts-2912	193	1	azlim	azlim	PROPN
ajsts-2912	193	2	khan	khan	PROPN
ajsts-2912	193	3	,	,	PUNCT
ajsts-2912	193	4	a.	a.	PROPN
ajsts-2912	193	5	k.	k.	PROPN
ajsts-2912	193	6	,	,	PUNCT
ajsts-2912	193	7	&	&	CCONJ
ajsts-2912	193	8	ahamed	ahamed	PROPN
ajsts-2912	193	9	hassain	hassain	PROPN
ajsts-2912	193	10	malim	malim	PROPN
ajsts-2912	193	11	,	,	PUNCT
ajsts-2912	193	12	n.	n.	PROPN
ajsts-2912	193	13	h.	h.	PROPN
ajsts-2912	193	14	(	(	PUNCT
ajsts-2912	193	15	2023	2023	NUM
ajsts-2912	193	16	)	)	PUNCT
ajsts-2912	193	17	.	.	PUNCT
ajsts-2912	194	1	comparative	comparative	ADJ
ajsts-2912	194	2	studies	study	NOUN
ajsts-2912	194	3	on	on	ADP
ajsts-2912	194	4	resampling	resample	VERB
ajsts-2912	194	5	techniques	technique	NOUN
ajsts-2912	194	6	in	in	ADP
ajsts-2912	194	7	machine	machine	NOUN
ajsts-2912	194	8	learning	learning	NOUN
ajsts-2912	194	9	and	and	CCONJ
ajsts-2912	194	10	deep	deep	ADJ
ajsts-2912	194	11	learning	learning	NOUN
ajsts-2912	194	12	models	model	NOUN
ajsts-2912	194	13	for	for	ADP
ajsts-2912	194	14	drug	drug	NOUN
ajsts-2912	194	15	-	-	PUNCT
ajsts-2912	194	16	target	target	NOUN
ajsts-2912	194	17	interaction	interaction	NOUN
ajsts-2912	194	18	prediction	prediction	NOUN
ajsts-2912	194	19	.	.	PUNCT
ajsts-2912	195	1	molecules	molecule	NOUN
ajsts-2912	195	2	,	,	PUNCT
ajsts-2912	195	3	28(4	28(4	NUM
ajsts-2912	195	4	)	)	PUNCT
ajsts-2912	195	5	,	,	PUNCT
ajsts-2912	195	6	1663	1663	NUM
ajsts-2912	195	7	.	.	PUNCT
ajsts-2912	196	1	coelho	coelho	PROPN
ajsts-2912	196	2	,	,	PUNCT
ajsts-2912	196	3	d.	d.	PROPN
ajsts-2912	196	4	,	,	PUNCT
ajsts-2912	196	5	costa	costa	PROPN
ajsts-2912	196	6	,	,	PUNCT
ajsts-2912	196	7	d.	d.	PROPN
ajsts-2912	196	8	,	,	PUNCT
ajsts-2912	196	9	rocha	rocha	PROPN
ajsts-2912	196	10	,	,	PUNCT
ajsts-2912	196	11	e.	e.	PROPN
ajsts-2912	196	12	m.	m.	PROPN
ajsts-2912	196	13	,	,	PUNCT
ajsts-2912	196	14	almeida	almeida	PROPN
ajsts-2912	196	15	,	,	PUNCT
ajsts-2912	196	16	d.	d.	PROPN
ajsts-2912	196	17	,	,	PUNCT
ajsts-2912	196	18	&	&	CCONJ
ajsts-2912	196	19	santos	santos	PROPN
ajsts-2912	196	20	,	,	PUNCT
ajsts-2912	196	21	j.	j.	PROPN
ajsts-2912	196	22	p.	p.	PROPN
ajsts-2912	196	23	(	(	PUNCT
ajsts-2912	196	24	2022	2022	NUM
ajsts-2912	196	25	)	)	PUNCT
ajsts-2912	196	26	.	.	PUNCT
ajsts-2912	197	1	predictive	predictive	ADJ
ajsts-2912	197	2	maintenance	maintenance	NOUN
ajsts-2912	197	3	on	on	ADP
ajsts-2912	197	4	sensorized	sensorize	VERB
ajsts-2912	197	5	stamping	stamp	VERB
ajsts-2912	197	6	presses	press	NOUN
ajsts-2912	197	7	by	by	ADP
ajsts-2912	197	8	time	time	NOUN
ajsts-2912	197	9	series	series	PROPN
ajsts-2912	197	10	segmentation	segmentation	PROPN
ajsts-2912	197	11	,	,	PUNCT
ajsts-2912	197	12	anomaly	anomaly	NOUN
ajsts-2912	197	13	detection	detection	NOUN
ajsts-2912	197	14	,	,	PUNCT
ajsts-2912	197	15	and	and	CCONJ
ajsts-2912	197	16	classification	classification	NOUN
ajsts-2912	197	17	algorithms	algorithm	NOUN
ajsts-2912	197	18	.	.	PUNCT
ajsts-2912	198	1	procedia	procedia	NOUN
ajsts-2912	198	2	computer	computer	NOUN
ajsts-2912	198	3	science	science	NOUN
ajsts-2912	198	4	,	,	PUNCT
ajsts-2912	198	5	200	200	NUM
ajsts-2912	198	6	,	,	PUNCT
ajsts-2912	198	7	1184	1184	NUM
ajsts-2912	198	8	-	-	SYM
ajsts-2912	198	9	1193	1193	NUM
ajsts-2912	198	10	.	.	PUNCT
ajsts-2912	199	1	collell	collell	PROPN
ajsts-2912	199	2	,	,	PUNCT
ajsts-2912	199	3	g.	g.	PROPN
ajsts-2912	199	4	,	,	PUNCT
ajsts-2912	199	5	prelec	prelec	NOUN
ajsts-2912	199	6	,	,	PUNCT
ajsts-2912	199	7	d.	d.	PROPN
ajsts-2912	199	8	,	,	PUNCT
ajsts-2912	199	9	&	&	CCONJ
ajsts-2912	199	10	patil	patil	PROPN
ajsts-2912	199	11	,	,	PUNCT
ajsts-2912	199	12	k.	k.	PROPN
ajsts-2912	199	13	r.	r.	PROPN
ajsts-2912	199	14	(	(	PUNCT
ajsts-2912	199	15	2018	2018	NUM
ajsts-2912	199	16	)	)	PUNCT
ajsts-2912	199	17	.	.	PUNCT
ajsts-2912	200	1	a	a	DET
ajsts-2912	200	2	simple	simple	ADJ
ajsts-2912	200	3	plug	plug	NOUN
ajsts-2912	200	4	-	-	PUNCT
ajsts-2912	200	5	in	in	ADP
ajsts-2912	200	6	bagging	bagging	NOUN
ajsts-2912	200	7	ensemble	ensemble	ADJ
ajsts-2912	200	8	based	base	VERB
ajsts-2912	200	9	on	on	ADP
ajsts-2912	200	10	threshold	threshold	NOUN
ajsts-2912	200	11	-	-	PUNCT
ajsts-2912	200	12	moving	move	VERB
ajsts-2912	200	13	for	for	ADP
ajsts-2912	200	14	classifying	classify	VERB
ajsts-2912	200	15	binary	binary	ADJ
ajsts-2912	200	16	and	and	CCONJ
ajsts-2912	200	17	multiclass	multiclass	ADJ
ajsts-2912	200	18	imbalanced	imbalanced	ADJ
ajsts-2912	200	19	data	datum	NOUN
ajsts-2912	200	20	.	.	PUNCT
ajsts-2912	201	1	neurocomputing	neurocomputing	NOUN
ajsts-2912	201	2	,	,	PUNCT
ajsts-2912	201	3	275	275	NUM
ajsts-2912	201	4	,	,	PUNCT
ajsts-2912	201	5	330	330	NUM
ajsts-2912	201	6	-	-	SYM
ajsts-2912	201	7	340	340	NUM
ajsts-2912	201	8	.	.	PUNCT
ajsts-2912	202	1	dogra	dogra	PROPN
ajsts-2912	202	2	,	,	PUNCT
ajsts-2912	202	3	v.	v.	PROPN
ajsts-2912	202	4	,	,	PUNCT
ajsts-2912	202	5	verma	verma	PROPN
ajsts-2912	202	6	,	,	PUNCT
ajsts-2912	202	7	s.	s.	PROPN
ajsts-2912	202	8	,	,	PUNCT
ajsts-2912	202	9	verma	verma	PROPN
ajsts-2912	202	10	,	,	PUNCT
ajsts-2912	202	11	k.	k.	PROPN
ajsts-2912	202	12	,	,	PUNCT
ajsts-2912	202	13	jhanjhi	jhanjhi	PROPN
ajsts-2912	202	14	,	,	PUNCT
ajsts-2912	202	15	n.	n.	PROPN
ajsts-2912	202	16	z.	z.	PROPN
ajsts-2912	202	17	,	,	PUNCT
ajsts-2912	202	18	ghosh	ghosh	PROPN
ajsts-2912	202	19	,	,	PUNCT
ajsts-2912	202	20	u.	u.	PROPN
ajsts-2912	202	21	,	,	PUNCT
ajsts-2912	202	22	&	&	CCONJ
ajsts-2912	202	23	le	le	PROPN
ajsts-2912	202	24	,	,	PUNCT
ajsts-2912	202	25	d.-n	d.-n	PROPN
ajsts-2912	202	26	.	.	PUNCT
ajsts-2912	203	1	(	(	PUNCT
ajsts-2912	203	2	2022	2022	NUM
ajsts-2912	203	3	)	)	PUNCT
ajsts-2912	203	4	.	.	PUNCT
ajsts-2912	204	1	a	a	DET
ajsts-2912	204	2	comparative	comparative	ADJ
ajsts-2912	204	3	analysis	analysis	NOUN
ajsts-2912	204	4	of	of	ADP
ajsts-2912	204	5	machine	machine	NOUN
ajsts-2912	204	6	learning	learning	NOUN
ajsts-2912	204	7	models	model	NOUN
ajsts-2912	204	8	for	for	ADP
ajsts-2912	204	9	banking	banking	NOUN
ajsts-2912	204	10	news	news	NOUN
ajsts-2912	204	11	extraction	extraction	NOUN
ajsts-2912	204	12	by	by	ADP
ajsts-2912	204	13	multiclass	multiclass	ADJ
ajsts-2912	204	14	classification	classification	NOUN
ajsts-2912	204	15	with	with	ADP
ajsts-2912	204	16	imbalanced	imbalanced	ADJ
ajsts-2912	204	17	datasets	dataset	NOUN
ajsts-2912	204	18	of	of	ADP
ajsts-2912	204	19	financial	financial	ADJ
ajsts-2912	204	20	news	news	NOUN
ajsts-2912	204	21	:	:	PUNCT
ajsts-2912	204	22	challenges	challenge	NOUN
ajsts-2912	204	23	and	and	CCONJ
ajsts-2912	204	24	solutions	solution	NOUN
ajsts-2912	204	25	.	.	PUNCT
ajsts-2912	205	1	fahim	fahim	PROPN
ajsts-2912	205	2	,	,	PUNCT
ajsts-2912	205	3	m.	m.	NOUN
ajsts-2912	205	4	,	,	PUNCT
ajsts-2912	205	5	&	&	CCONJ
ajsts-2912	205	6	sillitti	sillitti	PROPN
ajsts-2912	205	7	,	,	PUNCT
ajsts-2912	205	8	a.	a.	NOUN
ajsts-2912	205	9	(	(	PUNCT
ajsts-2912	205	10	2019	2019	NUM
ajsts-2912	205	11	)	)	PUNCT
ajsts-2912	205	12	.	.	PUNCT
ajsts-2912	206	1	anomaly	anomaly	PROPN
ajsts-2912	206	2	detection	detection	NOUN
ajsts-2912	206	3	,	,	PUNCT
ajsts-2912	206	4	analysis	analysis	NOUN
ajsts-2912	206	5	and	and	CCONJ
ajsts-2912	206	6	prediction	prediction	NOUN
ajsts-2912	206	7	techniques	technique	NOUN
ajsts-2912	206	8	in	in	ADP
ajsts-2912	206	9	iot	iot	PROPN
ajsts-2912	206	10	environment	environment	NOUN
ajsts-2912	206	11	:	:	PUNCT
ajsts-2912	206	12	a	a	DET
ajsts-2912	206	13	systematic	systematic	ADJ
ajsts-2912	206	14	literature	literature	NOUN
ajsts-2912	206	15	review	review	NOUN
ajsts-2912	206	16	.	.	PUNCT
ajsts-2912	207	1	ieee	ieee	NOUN
ajsts-2912	207	2	access	access	NOUN
ajsts-2912	207	3	,	,	PUNCT
ajsts-2912	207	4	7	7	NUM
ajsts-2912	207	5	,	,	PUNCT
ajsts-2912	207	6	8166481681	8166481681	NUM
ajsts-2912	207	7	.	.	PUNCT
ajsts-2912	208	1	fisher	fisher	PROPN
ajsts-2912	208	2	,	,	PUNCT
ajsts-2912	208	3	a.	a.	PROPN
ajsts-2912	208	4	,	,	PUNCT
ajsts-2912	208	5	rudin	rudin	PROPN
ajsts-2912	208	6	,	,	PUNCT
ajsts-2912	208	7	c.	c.	PROPN
ajsts-2912	208	8	,	,	PUNCT
ajsts-2912	208	9	&	&	CCONJ
ajsts-2912	208	10	dominici	dominici	PROPN
ajsts-2912	208	11	,	,	PUNCT
ajsts-2912	208	12	f.	f.	PROPN
ajsts-2912	208	13	(	(	PUNCT
ajsts-2912	208	14	2019	2019	NUM
ajsts-2912	208	15	)	)	PUNCT
ajsts-2912	208	16	.	.	PUNCT
ajsts-2912	209	1	all	all	DET
ajsts-2912	209	2	models	model	NOUN
ajsts-2912	209	3	are	be	AUX
ajsts-2912	209	4	wrong	wrong	ADJ
ajsts-2912	209	5	,	,	PUNCT
ajsts-2912	209	6	but	but	CCONJ
ajsts-2912	209	7	many	many	ADJ
ajsts-2912	209	8	are	be	AUX
ajsts-2912	209	9	useful	useful	ADJ
ajsts-2912	209	10	:	:	PUNCT
ajsts-2912	209	11	learning	learn	VERB
ajsts-2912	209	12	a	a	DET
ajsts-2912	209	13	variable	variable	NOUN
ajsts-2912	209	14	’s	’s	PART
ajsts-2912	209	15	importance	importance	NOUN
ajsts-2912	209	16	by	by	ADP
ajsts-2912	209	17	studying	study	VERB
ajsts-2912	209	18	an	an	DET
ajsts-2912	209	19	entire	entire	ADJ
ajsts-2912	209	20	class	class	NOUN
ajsts-2912	209	21	of	of	ADP
ajsts-2912	209	22	prediction	prediction	NOUN
ajsts-2912	209	23	models	model	NOUN
ajsts-2912	209	24	simultaneously	simultaneously	ADV
ajsts-2912	209	25	.	.	PUNCT
ajsts-2912	210	1	journal	journal	NOUN
ajsts-2912	210	2	of	of	ADP
ajsts-2912	210	3	machine	machine	NOUN
ajsts-2912	210	4	learning	learn	VERB
ajsts-2912	210	5	research	research	NOUN
ajsts-2912	210	6	,	,	PUNCT
ajsts-2912	210	7	20(177	20(177	NOUN
ajsts-2912	210	8	)	)	PUNCT
ajsts-2912	210	9	,	,	PUNCT
ajsts-2912	210	10	1	1	NUM
ajsts-2912	210	11	-	-	SYM
ajsts-2912	210	12	81	81	NUM
ajsts-2912	210	13	.	.	PUNCT
ajsts-2912	211	1	hanskunatai	hanskunatai	PROPN
ajsts-2912	211	2	,	,	PUNCT
ajsts-2912	211	3	a.	a.	NOUN
ajsts-2912	211	4	(	(	PUNCT
ajsts-2912	211	5	2018	2018	NUM
ajsts-2912	211	6	)	)	PUNCT
ajsts-2912	211	7	.	.	PUNCT
ajsts-2912	212	1	a	a	DET
ajsts-2912	212	2	new	new	ADJ
ajsts-2912	212	3	hybrid	hybrid	ADJ
ajsts-2912	212	4	sampling	sample	VERB
ajsts-2912	212	5	approach	approach	NOUN
ajsts-2912	212	6	for	for	ADP
ajsts-2912	212	7	classification	classification	NOUN
ajsts-2912	212	8	of	of	ADP
ajsts-2912	212	9	imbalanced	imbalanced	ADJ
ajsts-2912	212	10	datasets	dataset	NOUN
ajsts-2912	212	11	.	.	PUNCT
ajsts-2912	213	1	2018	2018	NUM
ajsts-2912	213	2	3rd	3rd	ADJ
ajsts-2912	213	3	international	international	ADJ
ajsts-2912	213	4	conference	conference	NOUN
ajsts-2912	213	5	on	on	ADP
ajsts-2912	213	6	computer	computer	NOUN
ajsts-2912	213	7	and	and	CCONJ
ajsts-2912	213	8	communication	communication	NOUN
ajsts-2912	213	9	systems	system	NOUN
ajsts-2912	213	10	(	(	PUNCT
ajsts-2912	213	11	icccs	icccs	PROPN
ajsts-2912	213	12	)	)	PUNCT
ajsts-2912	213	13	,	,	PUNCT
ajsts-2912	213	14	huang	huang	PROPN
ajsts-2912	213	15	,	,	PUNCT
ajsts-2912	213	16	p.	p.	PROPN
ajsts-2912	213	17	j.	j.	PROPN
ajsts-2912	213	18	(	(	PUNCT
ajsts-2912	213	19	2015	2015	NUM
ajsts-2912	213	20	)	)	PUNCT
ajsts-2912	213	21	.	.	PUNCT
ajsts-2912	214	1	classification	classification	NOUN
ajsts-2912	214	2	of	of	ADP
ajsts-2912	214	3	imbalanced	imbalanced	ADJ
ajsts-2912	214	4	data	datum	NOUN
ajsts-2912	214	5	using	use	VERB
ajsts-2912	214	6	synthetic	synthetic	ADJ
ajsts-2912	214	7	over	over	ADP
ajsts-2912	214	8	-	-	PUNCT
ajsts-2912	214	9	sampling	sample	VERB
ajsts-2912	214	10	techniques	technique	NOUN
ajsts-2912	214	11	.	.	PUNCT
ajsts-2912	215	1	university	university	NOUN
ajsts-2912	215	2	of	of	ADP
ajsts-2912	215	3	california	california	PROPN
ajsts-2912	215	4	,	,	PUNCT
ajsts-2912	215	5	los	los	PROPN
ajsts-2912	215	6	angeles	angeles	PROPN
ajsts-2912	215	7	.	.	PUNCT
ajsts-2912	216	1	jiang	jiang	PROPN
ajsts-2912	216	2	,	,	PUNCT
ajsts-2912	216	3	x.	x.	PROPN
ajsts-2912	216	4	,	,	PUNCT
ajsts-2912	216	5	wang	wang	PROPN
ajsts-2912	216	6	,	,	PUNCT
ajsts-2912	216	7	j.	j.	PROPN
ajsts-2912	216	8	,	,	PUNCT
ajsts-2912	216	9	meng	meng	PROPN
ajsts-2912	216	10	,	,	PUNCT
ajsts-2912	216	11	q.	q.	PROPN
ajsts-2912	216	12	,	,	PUNCT
ajsts-2912	216	13	saada	saada	PROPN
ajsts-2912	216	14	,	,	PUNCT
ajsts-2912	216	15	m.	m.	NOUN
ajsts-2912	216	16	,	,	PUNCT
ajsts-2912	216	17	&	&	CCONJ
ajsts-2912	216	18	cai	cai	PROPN
ajsts-2912	216	19	,	,	PUNCT
ajsts-2912	216	20	h.	h.	PROPN
ajsts-2912	216	21	(	(	PUNCT
ajsts-2912	216	22	2023	2023	NUM
ajsts-2912	216	23	)	)	PUNCT
ajsts-2912	216	24	.	.	PUNCT
ajsts-2912	217	1	an	an	DET
ajsts-2912	217	2	adaptive	adaptive	ADJ
ajsts-2912	217	3	multi	multi	ADJ
ajsts-2912	217	4	-	-	ADJ
ajsts-2912	217	5	class	class	ADJ
ajsts-2912	217	6	imbalanced	imbalanced	ADJ
ajsts-2912	217	7	classification	classification	NOUN
ajsts-2912	217	8	framework	framework	NOUN
ajsts-2912	217	9	based	base	VERB
ajsts-2912	217	10	on	on	ADP
ajsts-2912	217	11	ensemble	ensemble	ADJ
ajsts-2912	217	12	methods	method	NOUN
ajsts-2912	217	13	and	and	CCONJ
ajsts-2912	217	14	deep	deep	ADJ
ajsts-2912	217	15	network	network	NOUN
ajsts-2912	217	16	.	.	PUNCT
ajsts-2912	218	1	neural	neural	ADJ
ajsts-2912	218	2	computing	computing	NOUN
ajsts-2912	218	3	and	and	CCONJ
ajsts-2912	218	4	applications	application	NOUN
ajsts-2912	218	5	,	,	PUNCT
ajsts-2912	218	6	35(15	35(15	NUM
ajsts-2912	218	7	)	)	PUNCT
ajsts-2912	218	8	,	,	PUNCT
ajsts-2912	218	9	11141	11141	NUM
ajsts-2912	218	10	-	-	SYM
ajsts-2912	218	11	11159	11159	NUM
ajsts-2912	218	12	.	.	PUNCT
ajsts-2912	219	1	johnson	johnson	PROPN
ajsts-2912	219	2	,	,	PUNCT
ajsts-2912	219	3	j.	j.	PROPN
ajsts-2912	219	4	m.	m.	PROPN
ajsts-2912	219	5	,	,	PUNCT
ajsts-2912	219	6	&	&	CCONJ
ajsts-2912	219	7	khoshgoftaar	khoshgoftaar	PROPN
ajsts-2912	219	8	,	,	PUNCT
ajsts-2912	219	9	t.	t.	NOUN
ajsts-2912	219	10	m.	m.	NOUN
ajsts-2912	219	11	(	(	PUNCT
ajsts-2912	219	12	2019	2019	NUM
ajsts-2912	219	13	)	)	PUNCT
ajsts-2912	219	14	.	.	PUNCT
ajsts-2912	220	1	survey	survey	NOUN
ajsts-2912	220	2	on	on	ADP
ajsts-2912	220	3	deep	deep	ADJ
ajsts-2912	220	4	learning	learning	NOUN
ajsts-2912	220	5	with	with	ADP
ajsts-2912	220	6	class	class	NOUN
ajsts-2912	220	7	imbalance	imbalance	NOUN
ajsts-2912	220	8	.	.	PUNCT
ajsts-2912	221	1	journal	journal	NOUN
ajsts-2912	221	2	of	of	ADP
ajsts-2912	221	3	big	big	ADJ
ajsts-2912	221	4	data	datum	NOUN
ajsts-2912	221	5	,	,	PUNCT
ajsts-2912	221	6	6(1	6(1	NUM
ajsts-2912	221	7	)	)	PUNCT
ajsts-2912	221	8	,	,	PUNCT
ajsts-2912	221	9	1	1	NUM
ajsts-2912	221	10	-	-	SYM
ajsts-2912	221	11	54	54	NUM
ajsts-2912	221	12	.	.	PUNCT
ajsts-2912	222	1	khodadadi	khodadadi	PROPN
ajsts-2912	222	2	,	,	PUNCT
ajsts-2912	222	3	f.	f.	PROPN
ajsts-2912	222	4	,	,	PUNCT
ajsts-2912	222	5	dastjerdi	dastjerdi	PROPN
ajsts-2912	222	6	,	,	PUNCT
ajsts-2912	222	7	a.	a.	NOUN
ajsts-2912	222	8	v.	v.	PROPN
ajsts-2912	222	9	,	,	PUNCT
ajsts-2912	222	10	&	&	CCONJ
ajsts-2912	222	11	buyya	buyya	PROPN
ajsts-2912	222	12	,	,	PUNCT
ajsts-2912	222	13	r.	r.	PROPN
ajsts-2912	222	14	(	(	PUNCT
ajsts-2912	222	15	2016	2016	NUM
ajsts-2912	222	16	)	)	PUNCT
ajsts-2912	222	17	.	.	PUNCT
ajsts-2912	223	1	internet	internet	NOUN
ajsts-2912	223	2	of	of	ADP
ajsts-2912	223	3	things	thing	NOUN
ajsts-2912	223	4	:	:	PUNCT
ajsts-2912	223	5	an	an	DET
ajsts-2912	223	6	overview	overview	NOUN
ajsts-2912	223	7	.	.	PUNCT
ajsts-2912	224	1	internet	internet	NOUN
ajsts-2912	224	2	of	of	ADP
ajsts-2912	224	3	things	thing	NOUN
ajsts-2912	224	4	,	,	PUNCT
ajsts-2912	224	5	3	3	NUM
ajsts-2912	224	6	-	-	SYM
ajsts-2912	224	7	27	27	NUM
ajsts-2912	224	8	.	.	PUNCT
ajsts-2912	225	1	koziarski	koziarski	ADJ
ajsts-2912	225	2	,	,	PUNCT
ajsts-2912	225	3	m.	m.	NOUN
ajsts-2912	225	4	,	,	PUNCT
ajsts-2912	225	5	krawczyk	krawczyk	PROPN
ajsts-2912	225	6	,	,	PUNCT
ajsts-2912	225	7	b.	b.	PROPN
ajsts-2912	225	8	,	,	PUNCT
ajsts-2912	225	9	&	&	CCONJ
ajsts-2912	225	10	woźniak	woźniak	PROPN
ajsts-2912	225	11	,	,	PUNCT
ajsts-2912	225	12	m.	m.	NOUN
ajsts-2912	225	13	(	(	PUNCT
ajsts-2912	225	14	2019	2019	NUM
ajsts-2912	225	15	)	)	PUNCT
ajsts-2912	225	16	.	.	PUNCT
ajsts-2912	226	1	radial	radial	NOUN
ajsts-2912	226	2	-	-	PUNCT
ajsts-2912	226	3	based	base	VERB
ajsts-2912	226	4	oversampling	oversampling	NOUN
ajsts-2912	226	5	for	for	ADP
ajsts-2912	226	6	noisy	noisy	ADJ
ajsts-2912	226	7	imbalanced	imbalanced	ADJ
ajsts-2912	226	8	data	datum	NOUN
ajsts-2912	226	9	classification	classification	NOUN
ajsts-2912	226	10	.	.	PUNCT
ajsts-2912	227	1	neurocomputing	neurocomputing	NOUN
ajsts-2912	227	2	,	,	PUNCT
ajsts-2912	227	3	343	343	NUM
ajsts-2912	227	4	,	,	PUNCT
ajsts-2912	227	5	19	19	NUM
ajsts-2912	227	6	-	-	SYM
ajsts-2912	227	7	33	33	NUM
ajsts-2912	227	8	.	.	PUNCT
ajsts-2912	228	1	koziarski	koziarski	ADJ
ajsts-2912	228	2	,	,	PUNCT
ajsts-2912	228	3	m.	m.	NOUN
ajsts-2912	228	4	,	,	PUNCT
ajsts-2912	228	5	woźniak	woźniak	NOUN
ajsts-2912	228	6	,	,	PUNCT
ajsts-2912	228	7	m.	m.	NOUN
ajsts-2912	228	8	,	,	PUNCT
ajsts-2912	228	9	&	&	CCONJ
ajsts-2912	228	10	krawczyk	krawczyk	PROPN
ajsts-2912	228	11	,	,	PUNCT
ajsts-2912	228	12	b.	b.	PROPN
ajsts-2912	228	13	(	(	PUNCT
ajsts-2912	228	14	2020	2020	NUM
ajsts-2912	228	15	)	)	PUNCT
ajsts-2912	228	16	.	.	PUNCT
ajsts-2912	229	1	combined	combine	VERB
ajsts-2912	229	2	cleaning	cleaning	NOUN
ajsts-2912	229	3	and	and	CCONJ
ajsts-2912	229	4	resampling	resample	VERB
ajsts-2912	229	5	algorithm	algorithm	NOUN
ajsts-2912	229	6	for	for	ADP
ajsts-2912	229	7	multi	multi	ADJ
ajsts-2912	229	8	-	-	ADJ
ajsts-2912	229	9	class	class	ADJ
ajsts-2912	229	10	imbalanced	imbalanced	ADJ
ajsts-2912	229	11	data	datum	NOUN
ajsts-2912	229	12	with	with	ADP
ajsts-2912	229	13	label	label	NOUN
ajsts-2912	229	14	noise	noise	NOUN
ajsts-2912	229	15	.	.	PUNCT
ajsts-2912	230	1	knowledgebased	knowledgebased	PROPN
ajsts-2912	230	2	systems	system	NOUN
ajsts-2912	230	3	,	,	PUNCT
ajsts-2912	230	4	204	204	NUM
ajsts-2912	230	5	,	,	PUNCT
ajsts-2912	230	6	106223	106223	NUM
ajsts-2912	230	7	.	.	PUNCT
ajsts-2912	231	1	kumar	kumar	PROPN
ajsts-2912	231	2	,	,	PUNCT
ajsts-2912	231	3	a.	a.	PROPN
ajsts-2912	231	4	,	,	PUNCT
ajsts-2912	231	5	sharma	sharma	PROPN
ajsts-2912	231	6	,	,	PUNCT
ajsts-2912	231	7	s.	s.	PROPN
ajsts-2912	231	8	,	,	PUNCT
ajsts-2912	231	9	singh	singh	PROPN
ajsts-2912	231	10	,	,	PUNCT
ajsts-2912	231	11	a.	a.	PROPN
ajsts-2912	231	12	,	,	PUNCT
ajsts-2912	231	13	alwadain	alwadain	PROPN
ajsts-2912	231	14	,	,	PUNCT
ajsts-2912	231	15	a.	a.	NOUN
ajsts-2912	231	16	,	,	PUNCT
ajsts-2912	231	17	choi	choi	NOUN
ajsts-2912	231	18	,	,	PUNCT
ajsts-2912	231	19	b.j	b.j	PROPN
ajsts-2912	231	20	.	.	PROPN
ajsts-2912	231	21	,	,	PUNCT
ajsts-2912	231	22	manual	manual	ADJ
ajsts-2912	231	23	-	-	PUNCT
ajsts-2912	231	24	brenosa	brenosa	NOUN
ajsts-2912	231	25	,	,	PUNCT
ajsts-2912	231	26	j.	j.	PROPN
ajsts-2912	231	27	,	,	PUNCT
ajsts-2912	231	28	ortega	ortega	PROPN
ajsts-2912	231	29	-	-	PUNCT
ajsts-2912	231	30	mansilla	mansilla	PROPN
ajsts-2912	231	31	,	,	PUNCT
ajsts-2912	231	32	a.	a.	PROPN
ajsts-2912	231	33	,	,	PUNCT
ajsts-2912	231	34	&	&	CCONJ
ajsts-2912	231	35	goyal	goyal	PROPN
ajsts-2912	231	36	,	,	PUNCT
ajsts-2912	231	37	n.	n.	NOUN
ajsts-2912	231	38	(	(	PUNCT
ajsts-2912	231	39	2021	2021	NUM
ajsts-2912	231	40	)	)	PUNCT
ajsts-2912	231	41	.	.	PUNCT
ajsts-2912	232	1	revolutionary	revolutionary	ADJ
ajsts-2912	232	2	strategies	strategy	NOUN
ajsts-2912	232	3	analysis	analysis	NOUN
ajsts-2912	232	4	and	and	CCONJ
ajsts-2912	232	5	proposed	propose	VERB
ajsts-2912	232	6	system	system	NOUN
ajsts-2912	232	7	for	for	ADP
ajsts-2912	232	8	future	future	ADJ
ajsts-2912	232	9	infrastructure	infrastructure	NOUN
ajsts-2912	232	10	in	in	ADP
ajsts-2912	232	11	internet	internet	NOUN
ajsts-2912	232	12	of	of	ADP
ajsts-2912	232	13	things	thing	NOUN
ajsts-2912	232	14	.	.	PUNCT
ajsts-2912	233	1	sustainability	sustainability	NOUN
ajsts-2912	233	2	,	,	PUNCT
ajsts-2912	233	3	14(1	14(1	NUM
ajsts-2912	233	4	)	)	PUNCT
ajsts-2912	233	5	,	,	PUNCT
ajsts-2912	233	6	71	71	NUM
ajsts-2912	233	7	.	.	PUNCT
ajsts-2912	234	1	nixon	nixon	PROPN
ajsts-2912	234	2	,	,	PUNCT
ajsts-2912	234	3	c.	c.	PROPN
ajsts-2912	234	4	,	,	PUNCT
ajsts-2912	234	5	sedky	sedky	NOUN
ajsts-2912	234	6	,	,	PUNCT
ajsts-2912	234	7	m.	m.	NOUN
ajsts-2912	234	8	,	,	PUNCT
ajsts-2912	234	9	&	&	CCONJ
ajsts-2912	234	10	hassan	hassan	PROPN
ajsts-2912	234	11	,	,	PUNCT
ajsts-2912	234	12	m.	m.	NOUN
ajsts-2912	234	13	(	(	PUNCT
ajsts-2912	234	14	2019	2019	NUM
ajsts-2912	234	15	)	)	PUNCT
ajsts-2912	234	16	.	.	PUNCT
ajsts-2912	235	1	practical	practical	ADJ
ajsts-2912	235	2	application	application	NOUN
ajsts-2912	235	3	of	of	ADP
ajsts-2912	235	4	machine	machine	NOUN
ajsts-2912	235	5	learning	learning	NOUN
ajsts-2912	235	6	based	base	VERB
ajsts-2912	235	7	online	online	PROPN
ajsts-2912	235	8	intrusion	intrusion	NOUN
ajsts-2912	235	9	detection	detection	NOUN
ajsts-2912	235	10	to	to	ADP
ajsts-2912	235	11	internet	internet	NOUN
ajsts-2912	235	12	of	of	ADP
ajsts-2912	235	13	things	thing	NOUN
ajsts-2912	235	14	networks	network	NOUN
ajsts-2912	235	15	.	.	PUNCT
ajsts-2912	236	1	2019	2019	NUM
ajsts-2912	236	2	ieee	ieee	NOUN
ajsts-2912	236	3	global	global	ADJ
ajsts-2912	236	4	conference	conference	NOUN
ajsts-2912	236	5	on	on	ADP
ajsts-2912	236	6	internet	internet	NOUN
ajsts-2912	236	7	of	of	ADP
ajsts-2912	236	8	things	thing	NOUN
ajsts-2912	236	9	(	(	PUNCT
ajsts-2912	236	10	gciot	gciot	NOUN
ajsts-2912	236	11	)	)	PUNCT
ajsts-2912	236	12	.	.	PUNCT
ajsts-2912	237	1	nord	nord	PROPN
ajsts-2912	237	2	,	,	PUNCT
ajsts-2912	237	3	j.	j.	PROPN
ajsts-2912	237	4	h.	h.	PROPN
ajsts-2912	237	5	,	,	PUNCT
ajsts-2912	237	6	koohang	koohang	PROPN
ajsts-2912	237	7	,	,	PUNCT
ajsts-2912	237	8	a.	a.	PROPN
ajsts-2912	237	9	,	,	PUNCT
ajsts-2912	237	10	&	&	CCONJ
ajsts-2912	237	11	paliszkiewicz	paliszkiewicz	PROPN
ajsts-2912	237	12	,	,	PUNCT
ajsts-2912	237	13	j.	j.	PROPN
ajsts-2912	237	14	(	(	PUNCT
ajsts-2912	237	15	2019	2019	NUM
ajsts-2912	237	16	)	)	PUNCT
ajsts-2912	237	17	.	.	PUNCT
ajsts-2912	238	1	the	the	DET
ajsts-2912	238	2	internet	internet	NOUN
ajsts-2912	238	3	of	of	ADP
ajsts-2912	238	4	things	thing	NOUN
ajsts-2912	238	5	:	:	PUNCT
ajsts-2912	238	6	review	review	NOUN
ajsts-2912	238	7	and	and	CCONJ
ajsts-2912	238	8	theoretical	theoretical	ADJ
ajsts-2912	238	9	framework	framework	NOUN
ajsts-2912	238	10	.	.	PUNCT
ajsts-2912	239	1	expert	expert	NOUN
ajsts-2912	239	2	systems	system	NOUN
ajsts-2912	239	3	with	with	ADP
ajsts-2912	239	4	applications	application	NOUN
ajsts-2912	239	5	,	,	PUNCT
ajsts-2912	239	6	133	133	NUM
ajsts-2912	239	7	,	,	PUNCT
ajsts-2912	239	8	97108	97108	NUM
ajsts-2912	239	9	.	.	PUNCT
ajsts-2912	240	1	obaid	obaid	PROPN
ajsts-2912	240	2	,	,	PUNCT
ajsts-2912	240	3	w.	w.	PROPN
ajsts-2912	240	4	,	,	PUNCT
ajsts-2912	240	5	&	&	CCONJ
ajsts-2912	240	6	nassif	nassif	PROPN
ajsts-2912	240	7	,	,	PUNCT
ajsts-2912	240	8	a.	a.	PROPN
ajsts-2912	240	9	b.	b.	PROPN
ajsts-2912	240	10	(	(	PUNCT
ajsts-2912	240	11	2022	2022	NUM
ajsts-2912	240	12	)	)	PUNCT
ajsts-2912	240	13	.	.	PUNCT
ajsts-2912	241	1	the	the	DET
ajsts-2912	241	2	effects	effect	NOUN
ajsts-2912	241	3	of	of	ADP
ajsts-2912	241	4	resampling	resample	VERB
ajsts-2912	241	5	on	on	ADP
ajsts-2912	241	6	classifying	classify	VERB
ajsts-2912	241	7	imbalanced	imbalanced	ADJ
ajsts-2912	241	8	datasets	dataset	NOUN
ajsts-2912	241	9	.	.	PUNCT
ajsts-2912	242	1	2022	2022	NUM
ajsts-2912	242	2	advances	advance	NOUN
ajsts-2912	242	3	in	in	ADP
ajsts-2912	242	4	science	science	NOUN
ajsts-2912	242	5	and	and	CCONJ
ajsts-2912	242	6	engineering	engineering	NOUN
ajsts-2912	242	7	technology	technology	NOUN
ajsts-2912	242	8	international	international	ADJ
ajsts-2912	242	9	conferences	conference	NOUN
ajsts-2912	242	10	(	(	PUNCT
ajsts-2912	242	11	aset	aset	NOUN
ajsts-2912	242	12	)	)	PUNCT
ajsts-2912	242	13	.	.	PUNCT
ajsts-2912	243	1	paisitkriangkrai	paisitkriangkrai	PROPN
ajsts-2912	243	2	,	,	PUNCT
ajsts-2912	243	3	s.	s.	PROPN
ajsts-2912	243	4	,	,	PUNCT
ajsts-2912	243	5	shen	shen	PROPN
ajsts-2912	243	6	,	,	PUNCT
ajsts-2912	243	7	c.	c.	PROPN
ajsts-2912	243	8	,	,	PUNCT
ajsts-2912	243	9	&	&	CCONJ
ajsts-2912	243	10	van	van	PROPN
ajsts-2912	243	11	den	den	PROPN
ajsts-2912	243	12	hengel	hengel	PROPN
ajsts-2912	243	13	,	,	PUNCT
ajsts-2912	243	14	a.	a.	NOUN
ajsts-2912	243	15	(	(	PUNCT
ajsts-2912	243	16	2013	2013	NUM
ajsts-2912	243	17	)	)	PUNCT
ajsts-2912	243	18	.	.	PUNCT
ajsts-2912	244	1	a	a	DET
ajsts-2912	244	2	scalable	scalable	ADJ
ajsts-2912	244	3	stagewise	stagewise	NOUN
ajsts-2912	244	4	approach	approach	NOUN
ajsts-2912	244	5	to	to	ADP
ajsts-2912	244	6	large	large	ADJ
ajsts-2912	244	7	-	-	PUNCT
ajsts-2912	244	8	margin	margin	NOUN
ajsts-2912	244	9	multiclass	multiclass	ADJ
ajsts-2912	244	10	loss	loss	NOUN
ajsts-2912	244	11	-	-	PUNCT
ajsts-2912	244	12	based	base	VERB
ajsts-2912	244	13	boosting	boosting	NOUN
ajsts-2912	244	14	.	.	PUNCT
ajsts-2912	245	1	ieee	ieee	NOUN
ajsts-2912	245	2	transactions	transaction	NOUN
ajsts-2912	245	3	on	on	ADP
ajsts-2912	245	4	neural	neural	ADJ
ajsts-2912	245	5	networks	network	NOUN
ajsts-2912	245	6	and	and	CCONJ
ajsts-2912	245	7	learning	learning	NOUN
ajsts-2912	245	8	systems	system	NOUN
ajsts-2912	245	9	,	,	PUNCT
ajsts-2912	245	10	25(5	25(5	NUM
ajsts-2912	245	11	)	)	PUNCT
ajsts-2912	245	12	,	,	PUNCT
ajsts-2912	245	13	1002	1002	NUM
ajsts-2912	245	14	-	-	SYM
ajsts-2912	245	15	1013	1013	NUM
ajsts-2912	245	16	.	.	PUNCT
ajsts-2912	246	1	pal	pal	NOUN
ajsts-2912	246	2	,	,	PUNCT
ajsts-2912	246	3	d.	d.	PROPN
ajsts-2912	246	4	,	,	PUNCT
ajsts-2912	246	5	funilkul	funilkul	PROPN
ajsts-2912	246	6	,	,	PUNCT
ajsts-2912	246	7	s.	s.	PROPN
ajsts-2912	246	8	,	,	PUNCT
ajsts-2912	246	9	charoenkitkarn	charoenkitkarn	NOUN
ajsts-2912	246	10	,	,	PUNCT
ajsts-2912	246	11	n.	n.	NOUN
ajsts-2912	246	12	,	,	PUNCT
ajsts-2912	246	13	&	&	CCONJ
ajsts-2912	246	14	kanthamanon	kanthamanon	PROPN
ajsts-2912	246	15	,	,	PUNCT
ajsts-2912	246	16	p.	p.	NOUN
ajsts-2912	246	17	(	(	PUNCT
ajsts-2912	246	18	2018	2018	NUM
ajsts-2912	246	19	)	)	PUNCT
ajsts-2912	246	20	.	.	PUNCT
ajsts-2912	247	1	internet	internet	NOUN
ajsts-2912	247	2	-	-	PUNCT
ajsts-2912	247	3	of	of	ADP
ajsts-2912	247	4	-	-	PUNCT
ajsts-2912	247	5	things	thing	NOUN
ajsts-2912	247	6	and	and	CCONJ
ajsts-2912	247	7	smart	smart	ADJ
ajsts-2912	247	8	homes	home	NOUN
ajsts-2912	247	9	for	for	ADP
ajsts-2912	247	10	elderly	elderly	ADJ
ajsts-2912	247	11	healthcare	healthcare	NOUN
ajsts-2912	247	12	:	:	PUNCT
ajsts-2912	247	13	an	an	DET
ajsts-2912	247	14	end	end	NOUN
ajsts-2912	247	15	user	user	NOUN
ajsts-2912	247	16	perspective	perspective	NOUN
ajsts-2912	247	17	.	.	PUNCT
ajsts-2912	248	1	ieee	ieee	NOUN
ajsts-2912	248	2	access	access	NOUN
ajsts-2912	248	3	,	,	PUNCT
ajsts-2912	248	4	6	6	NUM
ajsts-2912	248	5	,	,	PUNCT
ajsts-2912	248	6	10483	10483	NUM
ajsts-2912	248	7	-	-	SYM
ajsts-2912	248	8	10496	10496	NUM
ajsts-2912	248	9	.	.	PUNCT
ajsts-2912	249	1	peng	peng	PROPN
ajsts-2912	249	2	,	,	PUNCT
ajsts-2912	249	3	h.	h.	PROPN
ajsts-2912	249	4	,	,	PUNCT
ajsts-2912	249	5	wu	wu	PROPN
ajsts-2912	249	6	,	,	PUNCT
ajsts-2912	249	7	c.	c.	PROPN
ajsts-2912	249	8	,	,	PUNCT
ajsts-2912	249	9	&	&	CCONJ
ajsts-2912	249	10	xiao	xiao	PROPN
ajsts-2912	249	11	,	,	PUNCT
ajsts-2912	249	12	y.	y.	PROPN
ajsts-2912	249	13	(	(	PUNCT
ajsts-2912	249	14	2023	2023	NUM
ajsts-2912	249	15	)	)	PUNCT
ajsts-2912	249	16	.	.	PUNCT
ajsts-2912	250	1	cbf	cbf	PROPN
ajsts-2912	250	2	-	-	PUNCT
ajsts-2912	250	3	ids	ids	PROPN
ajsts-2912	250	4	:	:	PUNCT
ajsts-2912	250	5	addressing	address	VERB
ajsts-2912	250	6	class	class	NOUN
ajsts-2912	250	7	imbalance	imbalance	NOUN
ajsts-2912	250	8	using	use	VERB
ajsts-2912	250	9	cnn	cnn	NOUN
ajsts-2912	250	10	-	-	NOUN
ajsts-2912	250	11	bilstm	bilstm	NOUN
ajsts-2912	250	12	with	with	ADP
ajsts-2912	250	13	focal	focal	ADJ
ajsts-2912	250	14	loss	loss	NOUN
ajsts-2912	250	15	in	in	ADP
ajsts-2912	250	16	network	network	NOUN
ajsts-2912	250	17	intrusion	intrusion	NOUN
ajsts-2912	250	18	detection	detection	NOUN
ajsts-2912	250	19	system	system	NOUN
ajsts-2912	250	20	.	.	PUNCT
ajsts-2912	251	1	applied	apply	VERB
ajsts-2912	251	2	sciences	science	NOUN
ajsts-2912	251	3	,	,	PUNCT
ajsts-2912	251	4	13(21	13(21	NUM
ajsts-2912	251	5	)	)	PUNCT
ajsts-2912	251	6	,	,	PUNCT
ajsts-2912	251	7	11629	11629	NUM
ajsts-2912	251	8	.	.	PUNCT
ajsts-2912	252	1	pa	pa	PROPN
ajsts-2912	252	2	ge	ge	PROPN
ajsts-2912	252	3	24	24	NUM
ajsts-2912	252	4	https://journals.e-palli.com/home/index.php/ajsts	https://journals.e-palli.com/home/index.php/ajst	NOUN
ajsts-2912	252	5	am	be	AUX
ajsts-2912	252	6	.	.	PUNCT
ajsts-2912	253	1	j.	j.	PROPN
ajsts-2912	253	2	smart	smart	PROPN
ajsts-2912	253	3	.	.	PUNCT
ajsts-2912	254	1	technol	technol	PROPN
ajsts-2912	254	2	.	.	PUNCT
ajsts-2912	254	3	solutions	solution	NOUN
ajsts-2912	254	4	4(1	4(1	NOUN
ajsts-2912	254	5	)	)	PUNCT
ajsts-2912	254	6	16	16	NUM
ajsts-2912	254	7	-	-	SYM
ajsts-2912	254	8	24	24	NUM
ajsts-2912	254	9	,	,	PUNCT
ajsts-2912	254	10	2025	2025	NUM
ajsts-2912	254	11	powroźnik	powroźnik	NOUN
ajsts-2912	254	12	,	,	PUNCT
ajsts-2912	255	1	p.	p.	NOUN
ajsts-2912	255	2	,	,	PUNCT
ajsts-2912	255	3	szcześniak	szcześniak	PROPN
ajsts-2912	255	4	,	,	PUNCT
ajsts-2912	255	5	p.	p.	NOUN
ajsts-2912	255	6	,	,	PUNCT
ajsts-2912	255	7	&	&	CCONJ
ajsts-2912	255	8	piotrowski	piotrowski	PROPN
ajsts-2912	255	9	,	,	PUNCT
ajsts-2912	255	10	k.	k.	PROPN
ajsts-2912	255	11	(	(	PUNCT
ajsts-2912	255	12	2021	2021	NUM
ajsts-2912	255	13	)	)	PUNCT
ajsts-2912	255	14	.	.	PUNCT
ajsts-2912	256	1	elastic	elastic	ADJ
ajsts-2912	256	2	energy	energy	NOUN
ajsts-2912	256	3	management	management	NOUN
ajsts-2912	256	4	algorithm	algorithm	NOUN
ajsts-2912	256	5	using	use	VERB
ajsts-2912	256	6	iot	iot	ADJ
ajsts-2912	256	7	technology	technology	NOUN
ajsts-2912	256	8	for	for	ADP
ajsts-2912	256	9	devices	device	NOUN
ajsts-2912	256	10	with	with	ADP
ajsts-2912	256	11	smart	smart	ADJ
ajsts-2912	256	12	appliance	appliance	NOUN
ajsts-2912	256	13	functionality	functionality	NOUN
ajsts-2912	256	14	for	for	ADP
ajsts-2912	256	15	applications	application	NOUN
ajsts-2912	256	16	in	in	ADP
ajsts-2912	256	17	smart	smart	ADJ
ajsts-2912	256	18	-	-	PUNCT
ajsts-2912	256	19	grid	grid	NOUN
ajsts-2912	256	20	.	.	PUNCT
ajsts-2912	257	1	energies	energy	NOUN
ajsts-2912	257	2	,	,	PUNCT
ajsts-2912	257	3	15(1	15(1	NUM
ajsts-2912	257	4	)	)	PUNCT
ajsts-2912	257	5	,	,	PUNCT
ajsts-2912	257	6	109	109	NUM
ajsts-2912	257	7	.	.	PUNCT
ajsts-2912	258	1	pramanik	pramanik	VERB
ajsts-2912	258	2	,	,	PUNCT
ajsts-2912	258	3	p.	p.	PROPN
ajsts-2912	258	4	k.	k.	PROPN
ajsts-2912	259	1	d.	d.	PROPN
ajsts-2912	259	2	,	,	PUNCT
ajsts-2912	259	3	upadhyaya	upadhyaya	PROPN
ajsts-2912	259	4	,	,	PUNCT
ajsts-2912	259	5	b.	b.	PROPN
ajsts-2912	259	6	k.	k.	PROPN
ajsts-2912	259	7	,	,	PUNCT
ajsts-2912	259	8	pal	pal	PROPN
ajsts-2912	259	9	,	,	PUNCT
ajsts-2912	259	10	s.	s.	PROPN
ajsts-2912	259	11	,	,	PUNCT
ajsts-2912	259	12	&	&	CCONJ
ajsts-2912	259	13	pal	pal	NOUN
ajsts-2912	259	14	,	,	PUNCT
ajsts-2912	259	15	t.	t.	PROPN
ajsts-2912	259	16	(	(	PUNCT
ajsts-2912	259	17	2019	2019	NUM
ajsts-2912	259	18	)	)	PUNCT
ajsts-2912	259	19	.	.	PUNCT
ajsts-2912	260	1	internet	internet	NOUN
ajsts-2912	260	2	of	of	ADP
ajsts-2912	260	3	things	thing	NOUN
ajsts-2912	260	4	,	,	PUNCT
ajsts-2912	260	5	smart	smart	ADJ
ajsts-2912	260	6	sensors	sensor	NOUN
ajsts-2912	260	7	,	,	PUNCT
ajsts-2912	260	8	and	and	CCONJ
ajsts-2912	260	9	pervasive	pervasive	ADJ
ajsts-2912	260	10	systems	system	NOUN
ajsts-2912	260	11	:	:	PUNCT
ajsts-2912	260	12	enabling	enable	VERB
ajsts-2912	260	13	connected	connected	ADJ
ajsts-2912	260	14	and	and	CCONJ
ajsts-2912	260	15	pervasive	pervasive	ADJ
ajsts-2912	260	16	healthcare	healthcare	NOUN
ajsts-2912	260	17	.	.	PUNCT
ajsts-2912	261	1	in	in	ADP
ajsts-2912	261	2	healthcare	healthcare	PROPN
ajsts-2912	261	3	data	data	PROPN
ajsts-2912	261	4	analytics	analytic	NOUN
ajsts-2912	261	5	and	and	CCONJ
ajsts-2912	261	6	management	management	NOUN
ajsts-2912	261	7	(	(	PUNCT
ajsts-2912	261	8	pp	pp	ADJ
ajsts-2912	261	9	.	.	PUNCT
ajsts-2912	262	1	1	1	NUM
ajsts-2912	262	2	-	-	SYM
ajsts-2912	262	3	58	58	NUM
ajsts-2912	262	4	)	)	PUNCT
ajsts-2912	262	5	.	.	PUNCT
ajsts-2912	263	1	elsevier	elsevier	PROPN
ajsts-2912	263	2	.	.	PUNCT
ajsts-2912	264	1	qawqzeh	qawqzeh	PROPN
ajsts-2912	264	2	,	,	PUNCT
ajsts-2912	264	3	y.	y.	PROPN
ajsts-2912	264	4	k.	k.	PROPN
ajsts-2912	264	5	,	,	PUNCT
ajsts-2912	264	6	alourani	alourani	PROPN
ajsts-2912	264	7	,	,	PUNCT
ajsts-2912	264	8	a.	a.	PROPN
ajsts-2912	264	9	,	,	PUNCT
ajsts-2912	264	10	&	&	CCONJ
ajsts-2912	264	11	ghwanmeh	ghwanmeh	PROPN
ajsts-2912	264	12	,	,	PUNCT
ajsts-2912	264	13	s.	s.	PROPN
ajsts-2912	264	14	(	(	PUNCT
ajsts-2912	264	15	2023	2023	NUM
ajsts-2912	264	16	)	)	PUNCT
ajsts-2912	264	17	.	.	PUNCT
ajsts-2912	265	1	an	an	DET
ajsts-2912	265	2	improved	improved	ADJ
ajsts-2912	265	3	breast	breast	NOUN
ajsts-2912	265	4	cancer	cancer	NOUN
ajsts-2912	265	5	classification	classification	NOUN
ajsts-2912	265	6	method	method	NOUN
ajsts-2912	265	7	using	use	VERB
ajsts-2912	265	8	an	an	DET
ajsts-2912	265	9	enhanced	enhanced	ADJ
ajsts-2912	265	10	adaboost	adaboost	ADJ
ajsts-2912	265	11	classifier	classifier	NOUN
ajsts-2912	265	12	.	.	PUNCT
ajsts-2912	266	1	international	international	ADJ
ajsts-2912	266	2	journal	journal	PROPN
ajsts-2912	266	3	of	of	ADP
ajsts-2912	266	4	advanced	advanced	ADJ
ajsts-2912	266	5	computer	computer	NOUN
ajsts-2912	266	6	science	science	NOUN
ajsts-2912	266	7	and	and	CCONJ
ajsts-2912	266	8	applications	application	NOUN
ajsts-2912	266	9	,	,	PUNCT
ajsts-2912	266	10	14(1	14(1	NUM
ajsts-2912	266	11	)	)	PUNCT
ajsts-2912	266	12	.	.	PUNCT
ajsts-2912	267	1	qawqzeh	qawqzeh	PROPN
ajsts-2912	267	2	,	,	PUNCT
ajsts-2912	267	3	y.	y.	PROPN
ajsts-2912	267	4	k.	k.	PROPN
ajsts-2912	267	5	,	,	PUNCT
ajsts-2912	267	6	&	&	CCONJ
ajsts-2912	267	7	ashraf	ashraf	PROPN
ajsts-2912	267	8	,	,	PUNCT
ajsts-2912	267	9	m.	m.	NOUN
ajsts-2912	267	10	(	(	PUNCT
ajsts-2912	267	11	2023	2023	NUM
ajsts-2912	267	12	)	)	PUNCT
ajsts-2912	267	13	.	.	PUNCT
ajsts-2912	268	1	a	a	DET
ajsts-2912	268	2	fraud	fraud	NOUN
ajsts-2912	268	3	detection	detection	NOUN
ajsts-2912	268	4	system	system	NOUN
ajsts-2912	268	5	using	use	VERB
ajsts-2912	268	6	decision	decision	NOUN
ajsts-2912	268	7	trees	tree	NOUN
ajsts-2912	268	8	classification	classification	NOUN
ajsts-2912	268	9	in	in	ADP
ajsts-2912	268	10	an	an	DET
ajsts-2912	268	11	online	online	ADJ
ajsts-2912	268	12	transactions	transaction	NOUN
ajsts-2912	268	13	.	.	PUNCT
ajsts-2912	269	1	proceedings	proceeding	NOUN
ajsts-2912	269	2	of	of	ADP
ajsts-2912	269	3	the	the	DET
ajsts-2912	269	4	2023	2023	NUM
ajsts-2912	269	5	12th	12th	ADJ
ajsts-2912	269	6	international	international	ADJ
ajsts-2912	269	7	conference	conference	NOUN
ajsts-2912	269	8	on	on	ADP
ajsts-2912	269	9	software	software	NOUN
ajsts-2912	269	10	and	and	CCONJ
ajsts-2912	269	11	computer	computer	NOUN
ajsts-2912	269	12	applications	application	NOUN
ajsts-2912	269	13	.	.	PUNCT
ajsts-2912	270	1	qawqzeh	qawqzeh	PROPN
ajsts-2912	270	2	,	,	PUNCT
ajsts-2912	270	3	y.	y.	PROPN
ajsts-2912	270	4	k.	k.	PROPN
ajsts-2912	270	5	,	,	PUNCT
ajsts-2912	270	6	bajahzar	bajahzar	PROPN
ajsts-2912	270	7	,	,	PUNCT
ajsts-2912	270	8	a.	a.	PROPN
ajsts-2912	270	9	s.	s.	PROPN
ajsts-2912	270	10	,	,	PUNCT
ajsts-2912	270	11	jemmali	jemmali	PROPN
ajsts-2912	270	12	,	,	PUNCT
ajsts-2912	270	13	m.	m.	NOUN
ajsts-2912	270	14	,	,	PUNCT
ajsts-2912	270	15	otoom	otoom	NOUN
ajsts-2912	270	16	,	,	PUNCT
ajsts-2912	270	17	m.	m.	NOUN
ajsts-2912	270	18	m.	m.	NOUN
ajsts-2912	270	19	,	,	PUNCT
ajsts-2912	270	20	&	&	CCONJ
ajsts-2912	270	21	thaljaoui	thaljaoui	ADJ
ajsts-2912	270	22	,	,	PUNCT
ajsts-2912	270	23	a.	a.	NOUN
ajsts-2912	270	24	(	(	PUNCT
ajsts-2912	270	25	2020	2020	NUM
ajsts-2912	270	26	)	)	PUNCT
ajsts-2912	270	27	.	.	PUNCT
ajsts-2912	271	1	classification	classification	NOUN
ajsts-2912	271	2	of	of	ADP
ajsts-2912	271	3	diabetes	diabetes	NOUN
ajsts-2912	271	4	using	use	VERB
ajsts-2912	271	5	photoplethysmogram	photoplethysmogram	PROPN
ajsts-2912	271	6	(	(	PUNCT
ajsts-2912	271	7	ppg	ppg	PROPN
ajsts-2912	271	8	)	)	PUNCT
ajsts-2912	271	9	waveform	waveform	VERB
ajsts-2912	271	10	analysis	analysis	NOUN
ajsts-2912	271	11	:	:	PUNCT
ajsts-2912	271	12	logistic	logistic	ADJ
ajsts-2912	271	13	regression	regression	NOUN
ajsts-2912	271	14	modeling	modeling	NOUN
ajsts-2912	271	15	.	.	PUNCT
ajsts-2912	272	1	biomed	biome	VERB
ajsts-2912	272	2	research	research	NOUN
ajsts-2912	272	3	international	international	PROPN
ajsts-2912	272	4	,	,	PUNCT
ajsts-2912	272	5	2020	2020	NUM
ajsts-2912	272	6	.	.	PUNCT
ajsts-2912	273	1	rezvani	rezvani	PROPN
ajsts-2912	273	2	,	,	PUNCT
ajsts-2912	273	3	s.	s.	PROPN
ajsts-2912	273	4	,	,	PUNCT
ajsts-2912	273	5	&	&	CCONJ
ajsts-2912	273	6	wang	wang	PROPN
ajsts-2912	273	7	,	,	PUNCT
ajsts-2912	273	8	x.	x.	NOUN
ajsts-2912	273	9	(	(	PUNCT
ajsts-2912	273	10	2023	2023	NUM
ajsts-2912	273	11	)	)	PUNCT
ajsts-2912	273	12	.	.	PUNCT
ajsts-2912	274	1	a	a	DET
ajsts-2912	274	2	broad	broad	ADJ
ajsts-2912	274	3	review	review	NOUN
ajsts-2912	274	4	on	on	ADP
ajsts-2912	274	5	class	class	NOUN
ajsts-2912	274	6	imbalance	imbalance	NOUN
ajsts-2912	274	7	learning	learn	VERB
ajsts-2912	274	8	techniques	technique	NOUN
ajsts-2912	274	9	.	.	PUNCT
ajsts-2912	275	1	applied	apply	VERB
ajsts-2912	275	2	soft	soft	ADJ
ajsts-2912	275	3	computing	computing	NOUN
ajsts-2912	275	4	,	,	PUNCT
ajsts-2912	275	5	110415	110415	NUM
ajsts-2912	275	6	.	.	PUNCT
ajsts-2912	276	1	https://doi.org/10.1016/j.asoc.2023.110415	https://doi.org/10.1016/j.asoc.2023.110415	NOUN
ajsts-2912	276	2	rose	rise	VERB
ajsts-2912	276	3	,	,	PUNCT
ajsts-2912	276	4	k.	k.	PROPN
ajsts-2912	276	5	,	,	PUNCT
ajsts-2912	276	6	eldridge	eldridge	PROPN
ajsts-2912	276	7	,	,	PUNCT
ajsts-2912	276	8	s.	s.	PROPN
ajsts-2912	276	9	,	,	PUNCT
ajsts-2912	276	10	&	&	CCONJ
ajsts-2912	276	11	chapin	chapin	PROPN
ajsts-2912	276	12	,	,	PUNCT
ajsts-2912	276	13	l.	l.	PROPN
ajsts-2912	276	14	(	(	PUNCT
ajsts-2912	276	15	2015	2015	NUM
ajsts-2912	276	16	)	)	PUNCT
ajsts-2912	276	17	.	.	PUNCT
ajsts-2912	277	1	the	the	DET
ajsts-2912	277	2	internet	internet	NOUN
ajsts-2912	277	3	of	of	ADP
ajsts-2912	277	4	things	thing	NOUN
ajsts-2912	277	5	:	:	PUNCT
ajsts-2912	277	6	an	an	DET
ajsts-2912	277	7	overview	overview	NOUN
ajsts-2912	277	8	.	.	PUNCT
ajsts-2912	278	1	the	the	DET
ajsts-2912	278	2	internet	internet	NOUN
ajsts-2912	278	3	society	society	NOUN
ajsts-2912	278	4	(	(	PUNCT
ajsts-2912	278	5	isoc	isoc	PROPN
ajsts-2912	278	6	)	)	PUNCT
ajsts-2912	278	7	,	,	PUNCT
ajsts-2912	278	8	80(15	80(15	PROPN
ajsts-2912	278	9	)	)	PUNCT
ajsts-2912	278	10	,	,	PUNCT
ajsts-2912	278	11	1	1	NUM
ajsts-2912	278	12	-	-	SYM
ajsts-2912	278	13	53	53	NUM
ajsts-2912	278	14	.	.	PUNCT
ajsts-2912	278	15	sáez	sáez	PROPN
ajsts-2912	278	16	,	,	PUNCT
ajsts-2912	278	17	j.	j.	PROPN
ajsts-2912	278	18	a.	a.	PROPN
ajsts-2912	278	19	,	,	PUNCT
ajsts-2912	278	20	krawczyk	krawczyk	PROPN
ajsts-2912	278	21	,	,	PUNCT
ajsts-2912	278	22	b.	b.	PROPN
ajsts-2912	278	23	,	,	PUNCT
ajsts-2912	278	24	&	&	CCONJ
ajsts-2912	278	25	woźniak	woźniak	PROPN
ajsts-2912	278	26	,	,	PUNCT
ajsts-2912	278	27	m.	m.	NOUN
ajsts-2912	278	28	(	(	PUNCT
ajsts-2912	278	29	2016	2016	NUM
ajsts-2912	278	30	)	)	PUNCT
ajsts-2912	278	31	.	.	PUNCT
ajsts-2912	279	1	analyzing	analyze	VERB
ajsts-2912	279	2	the	the	DET
ajsts-2912	279	3	oversampling	oversampling	NOUN
ajsts-2912	279	4	of	of	ADP
ajsts-2912	279	5	different	different	ADJ
ajsts-2912	279	6	classes	class	NOUN
ajsts-2912	279	7	and	and	CCONJ
ajsts-2912	279	8	types	type	NOUN
ajsts-2912	279	9	of	of	ADP
ajsts-2912	279	10	examples	example	NOUN
ajsts-2912	279	11	in	in	ADP
ajsts-2912	279	12	multi	multi	ADJ
ajsts-2912	279	13	-	-	ADJ
ajsts-2912	279	14	class	class	ADJ
ajsts-2912	279	15	imbalanced	imbalanced	ADJ
ajsts-2912	279	16	datasets	dataset	NOUN
ajsts-2912	279	17	.	.	PUNCT
ajsts-2912	280	1	pattern	pattern	NOUN
ajsts-2912	280	2	recognition	recognition	NOUN
ajsts-2912	280	3	,	,	PUNCT
ajsts-2912	280	4	57	57	NUM
ajsts-2912	280	5	,	,	PUNCT
ajsts-2912	280	6	164	164	NUM
ajsts-2912	280	7	-	-	SYM
ajsts-2912	280	8	178	178	NUM
ajsts-2912	280	9	.	.	PUNCT
ajsts-2912	281	1	tanha	tanha	PROPN
ajsts-2912	281	2	,	,	PUNCT
ajsts-2912	281	3	j.	j.	PROPN
ajsts-2912	281	4	,	,	PUNCT
ajsts-2912	281	5	abdi	abdi	PROPN
ajsts-2912	281	6	,	,	PUNCT
ajsts-2912	281	7	y.	y.	PROPN
ajsts-2912	281	8	,	,	PUNCT
ajsts-2912	281	9	samadi	samadi	NOUN
ajsts-2912	281	10	,	,	PUNCT
ajsts-2912	281	11	n.	n.	NOUN
ajsts-2912	281	12	,	,	PUNCT
ajsts-2912	281	13	razzaghi	razzaghi	PROPN
ajsts-2912	281	14	,	,	PUNCT
ajsts-2912	281	15	n.	n.	NOUN
ajsts-2912	281	16	,	,	PUNCT
ajsts-2912	281	17	&	&	CCONJ
ajsts-2912	281	18	asadpour	asadpour	PROPN
ajsts-2912	281	19	,	,	PUNCT
ajsts-2912	281	20	m.	m.	NOUN
ajsts-2912	281	21	(	(	PUNCT
ajsts-2912	281	22	2020	2020	NUM
ajsts-2912	281	23	)	)	PUNCT
ajsts-2912	281	24	.	.	PUNCT
ajsts-2912	282	1	boosting	boost	VERB
ajsts-2912	282	2	methods	method	NOUN
ajsts-2912	282	3	for	for	ADP
ajsts-2912	282	4	multiclass	multiclass	ADJ
ajsts-2912	282	5	imbalanced	imbalanced	ADJ
ajsts-2912	282	6	data	datum	NOUN
ajsts-2912	282	7	classification	classification	NOUN
ajsts-2912	282	8	:	:	PUNCT
ajsts-2912	282	9	an	an	DET
ajsts-2912	282	10	experimental	experimental	ADJ
ajsts-2912	282	11	review	review	NOUN
ajsts-2912	282	12	.	.	PUNCT
ajsts-2912	283	1	journal	journal	NOUN
ajsts-2912	283	2	of	of	ADP
ajsts-2912	283	3	big	big	ADJ
ajsts-2912	283	4	data	datum	NOUN
ajsts-2912	283	5	,	,	PUNCT
ajsts-2912	283	6	7	7	NUM
ajsts-2912	283	7	,	,	PUNCT
ajsts-2912	283	8	1	1	NUM
ajsts-2912	283	9	-	-	SYM
ajsts-2912	283	10	47	47	NUM
ajsts-2912	283	11	.	.	PUNCT
ajsts-2912	284	1	tarawneh	tarawneh	PROPN
ajsts-2912	284	2	,	,	PUNCT
ajsts-2912	284	3	a.	a.	PROPN
ajsts-2912	284	4	s.	s.	PROPN
ajsts-2912	284	5	,	,	PUNCT
ajsts-2912	284	6	hassanat	hassanat	PROPN
ajsts-2912	284	7	,	,	PUNCT
ajsts-2912	284	8	a.	a.	PROPN
ajsts-2912	284	9	b.	b.	PROPN
ajsts-2912	284	10	,	,	PUNCT
ajsts-2912	284	11	almohammadi	almohammadi	PROPN
ajsts-2912	284	12	,	,	PUNCT
ajsts-2912	284	13	k.	k.	PROPN
ajsts-2912	284	14	,	,	PUNCT
ajsts-2912	284	15	chetverikov	chetverikov	PROPN
ajsts-2912	284	16	,	,	PUNCT
ajsts-2912	284	17	d.	d.	PROPN
ajsts-2912	284	18	,	,	PUNCT
ajsts-2912	284	19	&	&	CCONJ
ajsts-2912	284	20	bellinger	bellinger	NOUN
ajsts-2912	284	21	,	,	PUNCT
ajsts-2912	284	22	c.	c.	PROPN
ajsts-2912	284	23	(	(	PUNCT
ajsts-2912	284	24	2020	2020	NUM
ajsts-2912	284	25	)	)	PUNCT
ajsts-2912	284	26	.	.	PUNCT
ajsts-2912	285	1	smotefuna	smotefuna	PROPN
ajsts-2912	285	2	:	:	PUNCT
ajsts-2912	286	1	synthetic	synthetic	ADJ
ajsts-2912	286	2	minority	minority	NOUN
ajsts-2912	286	3	over	over	ADP
ajsts-2912	286	4	-	-	PUNCT
ajsts-2912	286	5	sampling	sample	VERB
ajsts-2912	286	6	technique	technique	NOUN
ajsts-2912	286	7	based	base	VERB
ajsts-2912	286	8	on	on	ADP
ajsts-2912	286	9	furthest	furth	ADJ
ajsts-2912	286	10	neighbour	neighbour	ADJ
ajsts-2912	286	11	algorithm	algorithm	NOUN
ajsts-2912	286	12	.	.	PUNCT
ajsts-2912	287	1	ieee	ieee	NOUN
ajsts-2912	287	2	access	access	NOUN
ajsts-2912	287	3	,	,	PUNCT
ajsts-2912	287	4	8	8	NUM
ajsts-2912	287	5	,	,	PUNCT
ajsts-2912	287	6	5906959082	5906959082	NUM
ajsts-2912	287	7	.	.	PUNCT
ajsts-2912	288	1	tyagi	tyagi	PROPN
ajsts-2912	288	2	,	,	PUNCT
ajsts-2912	288	3	s.	s.	PROPN
ajsts-2912	288	4	,	,	PUNCT
ajsts-2912	288	5	&	&	CCONJ
ajsts-2912	288	6	mittal	mittal	PROPN
ajsts-2912	288	7	,	,	PUNCT
ajsts-2912	288	8	s.	s.	PROPN
ajsts-2912	288	9	(	(	PUNCT
ajsts-2912	288	10	2020	2020	NUM
ajsts-2912	288	11	)	)	PUNCT
ajsts-2912	288	12	.	.	PUNCT
ajsts-2912	289	1	sampling	sample	VERB
ajsts-2912	289	2	approaches	approach	NOUN
ajsts-2912	289	3	for	for	ADP
ajsts-2912	289	4	imbalanced	imbalanced	ADJ
ajsts-2912	289	5	data	data	NOUN
ajsts-2912	289	6	classification	classification	NOUN
ajsts-2912	289	7	problem	problem	NOUN
ajsts-2912	289	8	in	in	ADP
ajsts-2912	289	9	machine	machine	NOUN
ajsts-2912	289	10	learning	learning	NOUN
ajsts-2912	289	11	.	.	PUNCT
ajsts-2912	290	1	proceedings	proceeding	NOUN
ajsts-2912	290	2	of	of	ADP
ajsts-2912	290	3	icric	icric	ADJ
ajsts-2912	290	4	2019	2019	NUM
ajsts-2912	290	5	:	:	PUNCT
ajsts-2912	290	6	recent	recent	ADJ
ajsts-2912	290	7	innovations	innovation	NOUN
ajsts-2912	290	8	in	in	ADP
ajsts-2912	290	9	computing	computing	NOUN
ajsts-2912	290	10	,	,	PUNCT
ajsts-2912	290	11	ullah	ullah	PROPN
ajsts-2912	290	12	,	,	PUNCT
ajsts-2912	290	13	i.	i.	PROPN
ajsts-2912	290	14	,	,	PUNCT
ajsts-2912	290	15	&	&	CCONJ
ajsts-2912	290	16	mahmoud	mahmoud	PROPN
ajsts-2912	290	17	,	,	PUNCT
ajsts-2912	290	18	q.	q.	PROPN
ajsts-2912	290	19	h.	h.	PROPN
ajsts-2912	290	20	(	(	PUNCT
ajsts-2912	290	21	2021	2021	NUM
ajsts-2912	290	22	)	)	PUNCT
ajsts-2912	290	23	.	.	PUNCT
ajsts-2912	291	1	a	a	DET
ajsts-2912	291	2	framework	framework	NOUN
ajsts-2912	291	3	for	for	ADP
ajsts-2912	291	4	anomaly	anomaly	NOUN
ajsts-2912	291	5	detection	detection	NOUN
ajsts-2912	291	6	in	in	ADP
ajsts-2912	291	7	iot	iot	NOUN
ajsts-2912	291	8	networks	network	NOUN
ajsts-2912	291	9	using	use	VERB
ajsts-2912	291	10	conditional	conditional	ADJ
ajsts-2912	291	11	generative	generative	ADJ
ajsts-2912	291	12	adversarial	adversarial	ADJ
ajsts-2912	291	13	networks	network	NOUN
ajsts-2912	291	14	.	.	PUNCT
ajsts-2912	292	1	ieee	ieee	NOUN
ajsts-2912	292	2	access	access	NOUN
ajsts-2912	292	3	,	,	PUNCT
ajsts-2912	292	4	9	9	NUM
ajsts-2912	292	5	,	,	PUNCT
ajsts-2912	292	6	165907	165907	NUM
ajsts-2912	292	7	-	-	SYM
ajsts-2912	292	8	165931	165931	NUM
ajsts-2912	292	9	.	.	PUNCT
ajsts-2912	293	1	varotto	varotto	NOUN
ajsts-2912	293	2	,	,	PUNCT
ajsts-2912	293	3	g.	g.	PROPN
ajsts-2912	293	4	,	,	PUNCT
ajsts-2912	293	5	susi	susi	PROPN
ajsts-2912	293	6	,	,	PUNCT
ajsts-2912	293	7	g.	g.	PROPN
ajsts-2912	293	8	,	,	PUNCT
ajsts-2912	293	9	tassi	tassi	NOUN
ajsts-2912	293	10	,	,	PUNCT
ajsts-2912	293	11	l.	l.	PROPN
ajsts-2912	293	12	,	,	PUNCT
ajsts-2912	293	13	gozzo	gozzo	PROPN
ajsts-2912	293	14	,	,	PUNCT
ajsts-2912	293	15	f.	f.	PROPN
ajsts-2912	293	16	,	,	PUNCT
ajsts-2912	293	17	franceschetti	franceschetti	PROPN
ajsts-2912	293	18	,	,	PUNCT
ajsts-2912	293	19	s.	s.	PROPN
ajsts-2912	293	20	,	,	PUNCT
ajsts-2912	293	21	&	&	CCONJ
ajsts-2912	293	22	panzica	panzica	PROPN
ajsts-2912	293	23	,	,	PUNCT
ajsts-2912	293	24	f.	f.	PROPN
ajsts-2912	293	25	(	(	PUNCT
ajsts-2912	293	26	2021	2021	NUM
ajsts-2912	293	27	)	)	PUNCT
ajsts-2912	293	28	.	.	PUNCT
ajsts-2912	294	1	comparison	comparison	NOUN
ajsts-2912	294	2	of	of	ADP
ajsts-2912	294	3	resampling	resample	VERB
ajsts-2912	294	4	techniques	technique	NOUN
ajsts-2912	294	5	for	for	ADP
ajsts-2912	294	6	imbalanced	imbalanced	ADJ
ajsts-2912	294	7	datasets	dataset	NOUN
ajsts-2912	294	8	in	in	ADP
ajsts-2912	294	9	machine	machine	NOUN
ajsts-2912	294	10	learning	learning	NOUN
ajsts-2912	294	11	:	:	PUNCT
ajsts-2912	294	12	application	application	NOUN
ajsts-2912	294	13	to	to	ADP
ajsts-2912	294	14	epileptogenic	epileptogenic	PROPN
ajsts-2912	294	15	zone	zone	NOUN
ajsts-2912	294	16	localization	localization	NOUN
ajsts-2912	294	17	from	from	ADP
ajsts-2912	294	18	interictal	interictal	ADJ
ajsts-2912	294	19	intracranial	intracranial	ADJ
ajsts-2912	294	20	eeg	eeg	NOUN
ajsts-2912	294	21	recordings	recording	NOUN
ajsts-2912	294	22	in	in	ADP
ajsts-2912	294	23	patients	patient	NOUN
ajsts-2912	294	24	with	with	ADP
ajsts-2912	294	25	focal	focal	ADJ
ajsts-2912	294	26	epilepsy	epilepsy	NOUN
ajsts-2912	294	27	.	.	PUNCT
ajsts-2912	295	1	frontiers	frontier	NOUN
ajsts-2912	295	2	in	in	ADP
ajsts-2912	295	3	neuroinformatics	neuroinformatic	NOUN
ajsts-2912	295	4	,	,	PUNCT
ajsts-2912	295	5	15	15	NUM
ajsts-2912	295	6	,	,	PUNCT
ajsts-2912	295	7	715421	715421	NUM
ajsts-2912	295	8	.	.	PUNCT
ajsts-2912	296	1	wanasinghe	wanasinghe	ADJ
ajsts-2912	296	2	,	,	PUNCT
ajsts-2912	296	3	t.	t.	PROPN
ajsts-2912	296	4	r.	r.	PROPN
ajsts-2912	296	5	,	,	PUNCT
ajsts-2912	296	6	gosine	gosine	PROPN
ajsts-2912	296	7	,	,	PUNCT
ajsts-2912	296	8	r.	r.	PROPN
ajsts-2912	296	9	g.	g.	PROPN
ajsts-2912	296	10	,	,	PUNCT
ajsts-2912	296	11	james	james	PROPN
ajsts-2912	296	12	,	,	PUNCT
ajsts-2912	296	13	l.	l.	PROPN
ajsts-2912	296	14	a.	a.	PROPN
ajsts-2912	296	15	,	,	PUNCT
ajsts-2912	296	16	mann	mann	PROPN
ajsts-2912	296	17	,	,	PUNCT
ajsts-2912	296	18	g.	g.	PROPN
ajsts-2912	296	19	k.	k.	PROPN
ajsts-2912	296	20	,	,	PUNCT
ajsts-2912	296	21	de	de	PROPN
ajsts-2912	296	22	silva	silva	PROPN
ajsts-2912	296	23	,	,	PUNCT
ajsts-2912	296	24	o.	o.	PROPN
ajsts-2912	296	25	,	,	PUNCT
ajsts-2912	296	26	&	&	CCONJ
ajsts-2912	296	27	warrian	warrian	ADJ
ajsts-2912	296	28	,	,	PUNCT
ajsts-2912	296	29	p.	p.	PROPN
ajsts-2912	296	30	j.	j.	PROPN
ajsts-2912	297	1	(	(	PUNCT
ajsts-2912	297	2	2020	2020	NUM
ajsts-2912	297	3	)	)	PUNCT
ajsts-2912	297	4	.	.	PUNCT
ajsts-2912	298	1	the	the	DET
ajsts-2912	298	2	internet	internet	NOUN
ajsts-2912	298	3	of	of	ADP
ajsts-2912	298	4	things	thing	NOUN
ajsts-2912	298	5	in	in	ADP
ajsts-2912	298	6	the	the	DET
ajsts-2912	298	7	oil	oil	NOUN
ajsts-2912	298	8	and	and	CCONJ
ajsts-2912	298	9	gas	gas	NOUN
ajsts-2912	298	10	industry	industry	NOUN
ajsts-2912	298	11	:	:	PUNCT
ajsts-2912	298	12	a	a	DET
ajsts-2912	298	13	systematic	systematic	ADJ
ajsts-2912	298	14	review	review	NOUN
ajsts-2912	298	15	.	.	PUNCT
ajsts-2912	299	1	ieee	ieee	PROPN
ajsts-2912	299	2	internet	internet	NOUN
ajsts-2912	299	3	of	of	ADP
ajsts-2912	299	4	things	thing	NOUN
ajsts-2912	299	5	journal	journal	NOUN
ajsts-2912	299	6	,	,	PUNCT
ajsts-2912	299	7	7(9	7(9	NUM
ajsts-2912	299	8	)	)	PUNCT
ajsts-2912	299	9	,	,	PUNCT
ajsts-2912	299	10	86548673	86548673	NUM
ajsts-2912	299	11	.	.	PUNCT
ajsts-2912	300	1	wang	wang	PROPN
ajsts-2912	300	2	,	,	PUNCT
ajsts-2912	300	3	s.	s.	PROPN
ajsts-2912	300	4	,	,	PUNCT
ajsts-2912	300	5	&	&	CCONJ
ajsts-2912	300	6	yao	yao	PROPN
ajsts-2912	300	7	,	,	PUNCT
ajsts-2912	300	8	x.	x.	NOUN
ajsts-2912	300	9	(	(	PUNCT
ajsts-2912	300	10	2012	2012	NUM
ajsts-2912	300	11	)	)	PUNCT
ajsts-2912	300	12	.	.	PUNCT
ajsts-2912	301	1	multiclass	multiclass	ADJ
ajsts-2912	301	2	imbalance	imbalance	NOUN
ajsts-2912	301	3	problems	problem	NOUN
ajsts-2912	301	4	:	:	PUNCT
ajsts-2912	301	5	analysis	analysis	NOUN
ajsts-2912	301	6	and	and	CCONJ
ajsts-2912	301	7	potential	potential	ADJ
ajsts-2912	301	8	solutions	solution	NOUN
ajsts-2912	301	9	.	.	PUNCT
ajsts-2912	302	1	ieee	ieee	NOUN
ajsts-2912	302	2	transactions	transaction	NOUN
ajsts-2912	302	3	on	on	ADP
ajsts-2912	302	4	systems	system	NOUN
ajsts-2912	302	5	,	,	PUNCT
ajsts-2912	302	6	man	man	NOUN
ajsts-2912	302	7	,	,	PUNCT
ajsts-2912	302	8	and	and	CCONJ
ajsts-2912	302	9	cybernetics	cybernetic	NOUN
ajsts-2912	302	10	,	,	PUNCT
ajsts-2912	302	11	part	part	NOUN
ajsts-2912	302	12	b	b	PROPN
ajsts-2912	302	13	(	(	PUNCT
ajsts-2912	302	14	cybernetics	cybernetic	NOUN
ajsts-2912	302	15	)	)	PUNCT
ajsts-2912	302	16	,	,	PUNCT
ajsts-2912	302	17	42(4	42(4	PROPN
ajsts-2912	302	18	)	)	PUNCT
ajsts-2912	302	19	,	,	PUNCT
ajsts-2912	302	20	1119	1119	NUM
ajsts-2912	302	21	-	-	SYM
ajsts-2912	302	22	1130	1130	NUM
ajsts-2912	302	23	.	.	PUNCT
ajsts-2912	303	1	welvaars	welvaar	NOUN
ajsts-2912	303	2	,	,	PUNCT
ajsts-2912	303	3	k.	k.	PROPN
ajsts-2912	303	4	,	,	PUNCT
ajsts-2912	303	5	oosterhoff	oosterhoff	ADV
ajsts-2912	303	6	,	,	PUNCT
ajsts-2912	303	7	j.	j.	PROPN
ajsts-2912	303	8	h.	h.	PROPN
ajsts-2912	303	9	,	,	PUNCT
ajsts-2912	303	10	van	van	PROPN
ajsts-2912	303	11	den	den	PROPN
ajsts-2912	303	12	bekerom	bekerom	PROPN
ajsts-2912	303	13	,	,	PUNCT
ajsts-2912	303	14	m.	m.	PROPN
ajsts-2912	303	15	p.	p.	PROPN
ajsts-2912	303	16	,	,	PUNCT
ajsts-2912	303	17	doornberg	doornberg	PROPN
ajsts-2912	303	18	,	,	PUNCT
ajsts-2912	303	19	j.	j.	PROPN
ajsts-2912	303	20	n.	n.	PROPN
ajsts-2912	303	21	,	,	PUNCT
ajsts-2912	303	22	van	van	PROPN
ajsts-2912	303	23	haarst	haarst	PROPN
ajsts-2912	303	24	,	,	PUNCT
ajsts-2912	303	25	e.	e.	PROPN
ajsts-2912	303	26	p.	p.	PROPN
ajsts-2912	303	27	,	,	PUNCT
ajsts-2912	303	28	olvg	olvg	VERB
ajsts-2912	303	29	urology	urology	NOUN
ajsts-2912	303	30	consortium	consortium	NOUN
ajsts-2912	303	31	,	,	PUNCT
ajsts-2912	303	32	&	&	CCONJ
ajsts-2912	303	33	r	r	NOUN
ajsts-2912	303	34	,	,	PUNCT
ajsts-2912	303	35	t.	t.	PROPN
ajsts-2912	303	36	m.	m.	PROPN
ajsts-2912	303	37	l.	l.	PROPN
ajsts-2912	303	38	c.	c.	PROPN
ajsts-2912	303	39	v.	v.	PROPN
ajsts-2912	303	40	d.	d.	PROPN
ajsts-2912	303	41	z.	z.	PROPN
ajsts-2912	304	1	j.	j.	PROPN
ajsts-2912	304	2	v.	v.	PROPN
ajsts-2912	304	3	a.	a.	PROPN
ajsts-2912	304	4	g.	g.	PROPN
ajsts-2912	304	5	l.	l.	PROPN
ajsts-2912	304	6	b.	b.	PROPN
ajsts-2912	304	7	h.	h.	PROPN
ajsts-2912	304	8	m.	m.	PROPN
ajsts-2912	305	1	k.	k.	PROPN
ajsts-2912	306	1	p.	p.	PROPN
ajsts-2912	306	2	b.	b.	PROPN
ajsts-2912	307	1	l.	l.	PROPN
ajsts-2912	307	2	v.	v.	PROPN
ajsts-2912	307	3	d.	d.	PROPN
ajsts-2912	307	4	k.	k.	PROPN
ajsts-2912	307	5	a.	a.	PROPN
ajsts-2912	307	6	m.	m.	PROPN
ajsts-2912	307	7	w.	w.	PROPN
ajsts-2912	307	8	p.	p.	PROPN
ajsts-2912	307	9	(	(	PUNCT
ajsts-2912	307	10	2023	2023	NUM
ajsts-2912	307	11	)	)	PUNCT
ajsts-2912	307	12	.	.	PUNCT
ajsts-2912	308	1	implications	implication	NOUN
ajsts-2912	308	2	of	of	ADP
ajsts-2912	308	3	resampling	resample	VERB
ajsts-2912	308	4	data	datum	NOUN
ajsts-2912	308	5	to	to	PART
ajsts-2912	308	6	address	address	VERB
ajsts-2912	308	7	the	the	DET
ajsts-2912	308	8	class	class	NOUN
ajsts-2912	308	9	imbalance	imbalance	NOUN
ajsts-2912	308	10	problem	problem	NOUN
ajsts-2912	308	11	(	(	PUNCT
ajsts-2912	308	12	ircip	ircip	ADV
ajsts-2912	308	13	):	):	PUNCT
ajsts-2912	308	14	an	an	DET
ajsts-2912	308	15	evaluation	evaluation	NOUN
ajsts-2912	308	16	of	of	ADP
ajsts-2912	308	17	impact	impact	NOUN
ajsts-2912	308	18	on	on	ADP
ajsts-2912	308	19	performance	performance	NOUN
ajsts-2912	308	20	between	between	ADP
ajsts-2912	308	21	classification	classification	NOUN
ajsts-2912	308	22	algorithms	algorithm	NOUN
ajsts-2912	308	23	in	in	ADP
ajsts-2912	308	24	medical	medical	ADJ
ajsts-2912	308	25	data	datum	NOUN
ajsts-2912	308	26	.	.	PUNCT
ajsts-2912	309	1	jamia	jamia	PROPN
ajsts-2912	309	2	open	open	PROPN
ajsts-2912	309	3	,	,	PUNCT
ajsts-2912	309	4	6(2	6(2	NUM
ajsts-2912	309	5	)	)	PUNCT
ajsts-2912	309	6	,	,	PUNCT
ajsts-2912	310	1	ooad033	ooad033	PROPN
ajsts-2912	310	2	.	.	PUNCT
ajsts-2912	310	3	zhou	zhou	PROPN
ajsts-2912	310	4	,	,	PUNCT
ajsts-2912	310	5	x.	x.	PROPN
ajsts-2912	310	6	,	,	PUNCT
ajsts-2912	310	7	hu	hu	PROPN
ajsts-2912	310	8	,	,	PUNCT
ajsts-2912	310	9	y.	y.	PROPN
ajsts-2912	310	10	,	,	PUNCT
ajsts-2912	310	11	wu	wu	PROPN
ajsts-2912	310	12	,	,	PUNCT
ajsts-2912	310	13	j.	j.	PROPN
ajsts-2912	310	14	,	,	PUNCT
ajsts-2912	310	15	liang	liang	PROPN
ajsts-2912	310	16	,	,	PUNCT
ajsts-2912	310	17	w.	w.	PROPN
ajsts-2912	310	18	,	,	PUNCT
ajsts-2912	310	19	ma	ma	PROPN
ajsts-2912	310	20	,	,	PUNCT
ajsts-2912	310	21	j.	j.	PROPN
ajsts-2912	310	22	,	,	PUNCT
ajsts-2912	310	23	&	&	CCONJ
ajsts-2912	310	24	jin	jin	PROPN
ajsts-2912	310	25	,	,	PUNCT
ajsts-2912	310	26	q.	q.	PROPN
ajsts-2912	310	27	(	(	PUNCT
ajsts-2912	310	28	2022	2022	NUM
ajsts-2912	310	29	)	)	PUNCT
ajsts-2912	310	30	.	.	PUNCT
ajsts-2912	311	1	distribution	distribution	NOUN
ajsts-2912	311	2	bias	bias	NOUN
ajsts-2912	311	3	aware	aware	ADJ
ajsts-2912	311	4	collaborative	collaborative	ADJ
ajsts-2912	311	5	generative	generative	ADJ
ajsts-2912	311	6	adversarial	adversarial	ADJ
ajsts-2912	311	7	network	network	NOUN
ajsts-2912	311	8	for	for	ADP
ajsts-2912	311	9	imbalanced	imbalanced	ADJ
ajsts-2912	311	10	deep	deep	ADJ
ajsts-2912	311	11	learning	learning	NOUN
ajsts-2912	311	12	in	in	ADP
ajsts-2912	311	13	industrial	industrial	ADJ
ajsts-2912	311	14	iot	iot	NOUN
ajsts-2912	311	15	.	.	PUNCT
ajsts-2912	312	1	ieee	ieee	NOUN
ajsts-2912	312	2	transactions	transaction	NOUN
ajsts-2912	312	3	on	on	ADP
ajsts-2912	312	4	industrial	industrial	ADJ
ajsts-2912	312	5	informatics	informatic	NOUN
ajsts-2912	312	6	,	,	PUNCT
ajsts-2912	312	7	19(1	19(1	NUM
ajsts-2912	312	8	)	)	PUNCT
ajsts-2912	312	9	,	,	PUNCT
ajsts-2912	312	10	570	570	NUM
ajsts-2912	312	11	-	-	SYM
ajsts-2912	312	12	580	580	NUM
ajsts-2912	312	13	.	.	PUNCT