id	sid	tid	token	lemma	pos
easat-5899	1	1	edelweiss	edelweiss	PROPN
easat-5899	1	2	applied	apply	VERB
easat-5899	1	3	science	science	NOUN
easat-5899	1	4	and	and	CCONJ
easat-5899	1	5	technology	technology	NOUN
easat-5899	1	6	issn	issn	PROPN
easat-5899	1	7	:	:	PUNCT
easat-5899	1	8	2576	2576	NUM
easat-5899	1	9	-	-	SYM
easat-5899	1	10	8484	8484	NUM
easat-5899	1	11	vol	vol	NOUN
easat-5899	1	12	.	.	PROPN
easat-5899	2	1	9	9	NUM
easat-5899	2	2	,	,	PUNCT
easat-5899	2	3	no	no	INTJ
easat-5899	2	4	.	.	NOUN
easat-5899	2	5	3	3	NUM
easat-5899	2	6	,	,	PUNCT
easat-5899	2	7	2993	2993	NUM
easat-5899	2	8	-	-	SYM
easat-5899	2	9	2999	2999	NUM
easat-5899	2	10	2025	2025	NUM
easat-5899	2	11	publisher	publisher	NOUN
easat-5899	2	12	:	:	PUNCT
easat-5899	2	13	learning	learn	VERB
easat-5899	2	14	gate	gate	NOUN
easat-5899	2	15	doi	doi	PROPN
easat-5899	2	16	:	:	PUNCT
easat-5899	2	17	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	2	18	©	©	PROPN
easat-5899	2	19	2025	2025	NUM
easat-5899	2	20	by	by	ADP
easat-5899	2	21	the	the	DET
easat-5899	2	22	authors	author	NOUN
easat-5899	2	23	;	;	PUNCT
easat-5899	2	24	licensee	licensee	PROPN
easat-5899	2	25	learning	learning	NOUN
easat-5899	2	26	gate	gate	NOUN
easat-5899	3	1	©	©	PROPN
easat-5899	3	2	2025	2025	NUM
easat-5899	3	3	by	by	ADP
easat-5899	3	4	the	the	DET
easat-5899	3	5	authors	author	NOUN
easat-5899	3	6	;	;	PUNCT
easat-5899	3	7	licensee	licensee	PROPN
easat-5899	3	8	learning	learning	NOUN
easat-5899	3	9	gate	gate	NOUN
easat-5899	3	10	history	history	NOUN
easat-5899	3	11	:	:	PUNCT
easat-5899	3	12	received	receive	VERB
easat-5899	3	13	:	:	PUNCT
easat-5899	3	14	20	20	NUM
easat-5899	3	15	january	january	NOUN
easat-5899	3	16	2025	2025	NUM
easat-5899	3	17	;	;	PUNCT
easat-5899	3	18	revised	revise	VERB
easat-5899	3	19	:	:	PUNCT
easat-5899	3	20	16	16	NUM
easat-5899	3	21	march	march	NOUN
easat-5899	3	22	2025	2025	NUM
easat-5899	3	23	;	;	PUNCT
easat-5899	3	24	accepted	accept	VERB
easat-5899	3	25	:	:	PUNCT
easat-5899	3	26	21	21	NUM
easat-5899	3	27	march	march	NOUN
easat-5899	3	28	2025	2025	NUM
easat-5899	3	29	;	;	PUNCT
easat-5899	3	30	published	publish	VERB
easat-5899	3	31	:	:	PUNCT
easat-5899	3	32	29	29	NUM
easat-5899	3	33	march	march	NOUN
easat-5899	3	34	2025	2025	NUM
easat-5899	3	35	*	*	PUNCT
easat-5899	3	36	correspondence	correspondence	NOUN
easat-5899	3	37	:	:	PUNCT
easat-5899	3	38	nygirl@konkuk.ac.kr	nygirl@konkuk.ac.kr	ADJ
easat-5899	3	39	bi	bi	ADJ
easat-5899	3	40	-	-	ADJ
easat-5899	3	41	lstm	lstm	ADJ
easat-5899	3	42	-	-	PUNCT
easat-5899	3	43	xgboost	xgboost	ADV
easat-5899	3	44	ensemble	ensemble	ADJ
easat-5899	3	45	-	-	PUNCT
easat-5899	3	46	based	base	VERB
easat-5899	3	47	intrusion	intrusion	NOUN
easat-5899	3	48	detection	detection	NOUN
easat-5899	3	49	system	system	NOUN
easat-5899	3	50	:	:	PUNCT
easat-5899	3	51	addressing	address	VERB
easat-5899	3	52	data	datum	NOUN
easat-5899	3	53	imbalance	imbalance	NOUN
easat-5899	3	54	and	and	CCONJ
easat-5899	3	55	enhancing	enhance	VERB
easat-5899	3	56	minority	minority	NOUN
easat-5899	3	57	class	class	NOUN
easat-5899	3	58	performance	performance	NOUN
easat-5899	3	59	woo	woo	PROPN
easat-5899	3	60	-	-	PUNCT
easat-5899	3	61	seong	seong	PROPN
easat-5899	3	62	kim1	kim1	PROPN
easat-5899	3	63	,	,	PUNCT
easat-5899	3	64	hyun	hyun	PROPN
easat-5899	3	65	-	-	PUNCT
easat-5899	3	66	jung	jung	PROPN
easat-5899	3	67	kim2	kim2	PROPN
easat-5899	3	68	*	*	PROPN
easat-5899	3	69	1konkuk	1konkuk	NUM
easat-5899	3	70	university	university	NOUN
easat-5899	3	71	,	,	PUNCT
easat-5899	3	72	the	the	DET
easat-5899	3	73	graduate	graduate	ADJ
easat-5899	3	74	school	school	NOUN
easat-5899	3	75	of	of	ADP
easat-5899	3	76	information	information	NOUN
easat-5899	3	77	&	&	CCONJ
easat-5899	3	78	communication	communication	NOUN
easat-5899	3	79	,	,	PUNCT
easat-5899	3	80	department	department	NOUN
easat-5899	3	81	of	of	ADP
easat-5899	3	82	convergence	convergence	NOUN
easat-5899	3	83	information	information	NOUN
easat-5899	3	84	technology	technology	NOUN
easat-5899	3	85	(	(	PUNCT
easat-5899	3	86	artificial	artificial	ADJ
easat-5899	3	87	intelligence	intelligence	NOUN
easat-5899	3	88	major	major	NOUN
easat-5899	3	89	)	)	PUNCT
easat-5899	3	90	,	,	PUNCT
easat-5899	3	91	seoul	seoul	PROPN
easat-5899	3	92	,	,	PUNCT
easat-5899	3	93	republic	republic	NOUN
easat-5899	3	94	of	of	ADP
easat-5899	3	95	korea	korea	PROPN
easat-5899	3	96	.	.	PUNCT
easat-5899	4	1	2konkuk	2konkuk	NUM
easat-5899	4	2	university	university	NOUN
easat-5899	4	3	,	,	PUNCT
easat-5899	4	4	sang	sang	VERB
easat-5899	4	5	-	-	PUNCT
easat-5899	4	6	huh	huh	INTJ
easat-5899	4	7	college	college	NOUN
easat-5899	4	8	and	and	CCONJ
easat-5899	4	9	the	the	DET
easat-5899	4	10	graduate	graduate	ADJ
easat-5899	4	11	school	school	NOUN
easat-5899	4	12	of	of	ADP
easat-5899	4	13	information	information	NOUN
easat-5899	4	14	&	&	CCONJ
easat-5899	4	15	communication	communication	NOUN
easat-5899	4	16	,	,	PUNCT
easat-5899	4	17	department	department	NOUN
easat-5899	4	18	of	of	ADP
easat-5899	4	19	convergence	convergence	NOUN
easat-5899	4	20	information	information	NOUN
easat-5899	4	21	technology	technology	NOUN
easat-5899	4	22	(	(	PUNCT
easat-5899	4	23	artificial	artificial	ADJ
easat-5899	4	24	intelligence	intelligence	NOUN
easat-5899	4	25	major	major	NOUN
easat-5899	4	26	)	)	PUNCT
easat-5899	4	27	,	,	PUNCT
easat-5899	4	28	seoul	seoul	PROPN
easat-5899	4	29	,	,	PUNCT
easat-5899	4	30	republic	republic	NOUN
easat-5899	4	31	of	of	ADP
easat-5899	4	32	korea	korea	PROPN
easat-5899	4	33	;	;	PUNCT
easat-5899	4	34	nygirl@konkuk.ac.kr	nygirl@konkuk.ac.kr	X
easat-5899	4	35	(	(	PUNCT
easat-5899	4	36	h.j.k	h.j.k	NOUN
easat-5899	4	37	.	.	PUNCT
easat-5899	4	38	)	)	PUNCT
easat-5899	4	39	.	.	PUNCT
easat-5899	5	1	abstract	abstract	ADJ
easat-5899	5	2	:	:	PUNCT
easat-5899	5	3	intrusion	intrusion	NOUN
easat-5899	5	4	detection	detection	NOUN
easat-5899	5	5	systems	system	NOUN
easat-5899	5	6	(	(	PUNCT
easat-5899	5	7	ids	id	NOUN
easat-5899	5	8	)	)	PUNCT
easat-5899	5	9	are	be	AUX
easat-5899	5	10	critical	critical	ADJ
easat-5899	5	11	in	in	ADP
easat-5899	5	12	identifying	identify	VERB
easat-5899	5	13	abnormal	abnormal	ADJ
easat-5899	5	14	network	network	NOUN
easat-5899	5	15	activities	activity	NOUN
easat-5899	5	16	and	and	CCONJ
easat-5899	5	17	mitigating	mitigate	VERB
easat-5899	5	18	potential	potential	ADJ
easat-5899	5	19	security	security	NOUN
easat-5899	5	20	threats	threat	NOUN
easat-5899	5	21	.	.	PUNCT
easat-5899	6	1	however	however	ADV
easat-5899	6	2	,	,	PUNCT
easat-5899	6	3	existing	exist	VERB
easat-5899	6	4	ids	id	NOUN
easat-5899	6	5	solutions	solution	NOUN
easat-5899	6	6	struggle	struggle	VERB
easat-5899	6	7	with	with	ADP
easat-5899	6	8	detecting	detect	VERB
easat-5899	6	9	rare	rare	ADJ
easat-5899	6	10	attack	attack	NOUN
easat-5899	6	11	types	type	NOUN
easat-5899	6	12	,	,	PUNCT
easat-5899	6	13	such	such	ADJ
easat-5899	6	14	as	as	ADP
easat-5899	6	15	remote	remote	NOUN
easat-5899	6	16	-	-	PUNCT
easat-5899	6	17	to	to	ADP
easat-5899	6	18	-	-	PUNCT
easat-5899	6	19	local	local	ADJ
easat-5899	6	20	(	(	PUNCT
easat-5899	6	21	r2l	r2l	NOUN
easat-5899	6	22	)	)	PUNCT
easat-5899	6	23	and	and	CCONJ
easat-5899	6	24	user	user	NOUN
easat-5899	6	25	-	-	PUNCT
easat-5899	6	26	to	to	ADP
easat-5899	6	27	-	-	PUNCT
easat-5899	6	28	root	root	NOUN
easat-5899	6	29	(	(	PUNCT
easat-5899	6	30	u2r	u2r	PROPN
easat-5899	6	31	)	)	PUNCT
easat-5899	6	32	,	,	PUNCT
easat-5899	6	33	primarily	primarily	ADV
easat-5899	6	34	due	due	ADP
easat-5899	6	35	to	to	ADP
easat-5899	6	36	data	datum	NOUN
easat-5899	6	37	imbalance	imbalance	NOUN
easat-5899	6	38	.	.	PUNCT
easat-5899	7	1	to	to	PART
easat-5899	7	2	address	address	VERB
easat-5899	7	3	this	this	DET
easat-5899	7	4	challenge	challenge	NOUN
easat-5899	7	5	,	,	PUNCT
easat-5899	7	6	we	we	PRON
easat-5899	7	7	propose	propose	VERB
easat-5899	7	8	an	an	DET
easat-5899	7	9	ensemble	ensemble	ADJ
easat-5899	7	10	model	model	NOUN
easat-5899	7	11	combining	combine	VERB
easat-5899	7	12	bidirectional	bidirectional	ADJ
easat-5899	7	13	long	long	ADJ
easat-5899	7	14	short	short	ADJ
easat-5899	7	15	-	-	PUNCT
easat-5899	7	16	term	term	NOUN
easat-5899	7	17	memory	memory	NOUN
easat-5899	7	18	(	(	PUNCT
easat-5899	7	19	bi	bi	NOUN
easat-5899	7	20	-	-	ADJ
easat-5899	7	21	lstm	lstm	ADJ
easat-5899	7	22	)	)	PUNCT
easat-5899	7	23	networks	network	NOUN
easat-5899	7	24	and	and	CCONJ
easat-5899	7	25	extreme	extreme	ADJ
easat-5899	7	26	gradient	gradient	NOUN
easat-5899	7	27	boosting	boost	VERB
easat-5899	7	28	(	(	PUNCT
easat-5899	7	29	xgboost	xgboost	NUM
easat-5899	7	30	)	)	PUNCT
easat-5899	7	31	.	.	PUNCT
easat-5899	8	1	our	our	PRON
easat-5899	8	2	model	model	NOUN
easat-5899	8	3	achieves	achieve	VERB
easat-5899	8	4	an	an	DET
easat-5899	8	5	accuracy	accuracy	NOUN
easat-5899	8	6	of	of	ADP
easat-5899	8	7	98.42	98.42	NUM
easat-5899	8	8	%	%	NOUN
easat-5899	8	9	on	on	ADP
easat-5899	8	10	the	the	DET
easat-5899	8	11	nsl	nsl	PROPN
easat-5899	8	12	-	-	PUNCT
easat-5899	8	13	kdd	kdd	PROPN
easat-5899	8	14	dataset	dataset	NOUN
easat-5899	8	15	,	,	PUNCT
easat-5899	8	16	significantly	significantly	ADV
easat-5899	8	17	reducing	reduce	VERB
easat-5899	8	18	the	the	DET
easat-5899	8	19	false	false	ADJ
easat-5899	8	20	positive	positive	ADJ
easat-5899	8	21	rates	rate	NOUN
easat-5899	8	22	for	for	ADP
easat-5899	8	23	r2l	r2l	NOUN
easat-5899	8	24	and	and	CCONJ
easat-5899	8	25	u2r	u2r	NOUN
easat-5899	8	26	classes	class	NOUN
easat-5899	8	27	by	by	ADP
easat-5899	8	28	approximately	approximately	ADV
easat-5899	8	29	90	90	NUM
easat-5899	8	30	%	%	NOUN
easat-5899	8	31	and	and	CCONJ
easat-5899	8	32	67	67	NUM
easat-5899	8	33	%	%	NOUN
easat-5899	8	34	,	,	PUNCT
easat-5899	8	35	respectively	respectively	ADV
easat-5899	8	36	(	(	PUNCT
easat-5899	8	37	p	p	NOUN
easat-5899	8	38	-	-	PUNCT
easat-5899	8	39	value	value	NOUN
easat-5899	8	40	<	<	NOUN
easat-5899	8	41	0.05	0.05	NUM
easat-5899	8	42	)	)	PUNCT
easat-5899	8	43	.	.	PUNCT
easat-5899	9	1	moreover	moreover	ADV
easat-5899	9	2	,	,	PUNCT
easat-5899	9	3	the	the	DET
easat-5899	9	4	proposed	propose	VERB
easat-5899	9	5	model	model	NOUN
easat-5899	9	6	achieves	achieve	VERB
easat-5899	9	7	an	an	DET
easat-5899	9	8	area	area	NOUN
easat-5899	9	9	under	under	ADP
easat-5899	9	10	the	the	DET
easat-5899	9	11	receiver	receiver	NOUN
easat-5899	9	12	operating	operate	VERB
easat-5899	9	13	characteristic	characteristic	ADJ
easat-5899	9	14	curve	curve	NOUN
easat-5899	9	15	(	(	PUNCT
easat-5899	9	16	auc	auc	NOUN
easat-5899	9	17	-	-	PUNCT
easat-5899	9	18	roc	roc	NOUN
easat-5899	9	19	)	)	PUNCT
easat-5899	9	20	score	score	NOUN
easat-5899	9	21	of	of	ADP
easat-5899	9	22	0.89	0.89	NUM
easat-5899	9	23	for	for	ADP
easat-5899	9	24	r2l	r2l	NOUN
easat-5899	9	25	detection	detection	NOUN
easat-5899	9	26	,	,	PUNCT
easat-5899	9	27	outperforming	outperform	VERB
easat-5899	9	28	the	the	DET
easat-5899	9	29	bi	bi	ADJ
easat-5899	9	30	-	-	ADJ
easat-5899	9	31	lstm	lstm	ADJ
easat-5899	9	32	-	-	PUNCT
easat-5899	9	33	random	random	ADJ
easat-5899	9	34	forest	forest	NOUN
easat-5899	9	35	baseline	baseline	NOUN
easat-5899	9	36	(	(	PUNCT
easat-5899	9	37	0.88	0.88	NUM
easat-5899	9	38	)	)	PUNCT
easat-5899	9	39	.	.	PUNCT
easat-5899	10	1	for	for	ADP
easat-5899	10	2	u2r	u2r	PROPN
easat-5899	10	3	detection	detection	NOUN
easat-5899	10	4	,	,	PUNCT
easat-5899	10	5	the	the	DET
easat-5899	10	6	auc	auc	NOUN
easat-5899	10	7	improved	improve	VERB
easat-5899	10	8	from	from	ADP
easat-5899	10	9	0.58	0.58	NUM
easat-5899	10	10	to	to	ADP
easat-5899	10	11	0.66	0.66	NUM
easat-5899	10	12	.	.	PUNCT
easat-5899	11	1	these	these	DET
easat-5899	11	2	findings	finding	NOUN
easat-5899	11	3	highlight	highlight	VERB
easat-5899	11	4	the	the	DET
easat-5899	11	5	model	model	NOUN
easat-5899	11	6	's	's	PART
easat-5899	11	7	enhanced	enhance	VERB
easat-5899	11	8	capability	capability	NOUN
easat-5899	11	9	for	for	ADP
easat-5899	11	10	minority	minority	NOUN
easat-5899	11	11	class	class	NOUN
easat-5899	11	12	detection	detection	NOUN
easat-5899	11	13	and	and	CCONJ
easat-5899	11	14	its	its	PRON
easat-5899	11	15	potential	potential	NOUN
easat-5899	11	16	to	to	PART
easat-5899	11	17	mitigate	mitigate	VERB
easat-5899	11	18	data	datum	NOUN
easat-5899	11	19	imbalance	imbalance	NOUN
easat-5899	11	20	issues	issue	NOUN
easat-5899	11	21	in	in	ADP
easat-5899	11	22	ids	id	NOUN
easat-5899	11	23	.	.	PUNCT
easat-5899	12	1	future	future	ADJ
easat-5899	12	2	work	work	NOUN
easat-5899	12	3	will	will	AUX
easat-5899	12	4	focus	focus	VERB
easat-5899	12	5	on	on	ADP
easat-5899	12	6	integrating	integrate	VERB
easat-5899	12	7	conditional	conditional	ADJ
easat-5899	12	8	generative	generative	ADJ
easat-5899	12	9	adversarial	adversarial	ADJ
easat-5899	12	10	networks	network	NOUN
easat-5899	12	11	(	(	PUNCT
easat-5899	12	12	conditional	conditional	ADJ
easat-5899	12	13	gans	gan	NOUN
easat-5899	12	14	)	)	PUNCT
easat-5899	12	15	for	for	ADP
easat-5899	12	16	data	data	NOUN
easat-5899	12	17	augmentation	augmentation	NOUN
easat-5899	12	18	,	,	PUNCT
easat-5899	12	19	optimizing	optimize	VERB
easat-5899	12	20	hyperparameters	hyperparameter	NOUN
easat-5899	12	21	using	use	VERB
easat-5899	12	22	particle	particle	NOUN
easat-5899	12	23	swarm	swarm	NOUN
easat-5899	12	24	optimization	optimization	NOUN
easat-5899	12	25	(	(	PUNCT
easat-5899	12	26	pso	pso	NOUN
easat-5899	12	27	)	)	PUNCT
easat-5899	12	28	,	,	PUNCT
easat-5899	12	29	and	and	CCONJ
easat-5899	12	30	validating	validate	VERB
easat-5899	12	31	the	the	DET
easat-5899	12	32	model	model	NOUN
easat-5899	12	33	's	's	PART
easat-5899	12	34	generalizability	generalizability	NOUN
easat-5899	12	35	on	on	ADP
easat-5899	12	36	cicids2017	cicids2017	PROPN
easat-5899	12	37	and	and	CCONJ
easat-5899	12	38	unsw	unsw	NOUN
easat-5899	12	39	-	-	PUNCT
easat-5899	12	40	nb15	nb15	PROPN
easat-5899	12	41	datasets	dataset	NOUN
easat-5899	12	42	.	.	PUNCT
easat-5899	13	1	keywords	keyword	NOUN
easat-5899	13	2	:	:	PUNCT
easat-5899	13	3	bi	bi	NOUN
easat-5899	13	4	-	-	ADJ
easat-5899	13	5	lstm	lstm	ADJ
easat-5899	13	6	,	,	PUNCT
easat-5899	13	7	xgboost	xgboost	ADV
easat-5899	13	8	,	,	PUNCT
easat-5899	13	9	ensemble	ensemble	ADJ
easat-5899	13	10	model	model	NOUN
easat-5899	13	11	,	,	PUNCT
easat-5899	13	12	intrusion	intrusion	NOUN
easat-5899	13	13	detection	detection	NOUN
easat-5899	13	14	system	system	NOUN
easat-5899	13	15	,	,	PUNCT
easat-5899	13	16	minority	minority	NOUN
easat-5899	13	17	class	class	NOUN
easat-5899	13	18	detection	detection	NOUN
easat-5899	13	19	.	.	PUNCT
easat-5899	14	1	1	1	X
easat-5899	14	2	.	.	X
easat-5899	14	3	introduction	introduction	NOUN
easat-5899	14	4	intrusion	intrusion	NOUN
easat-5899	14	5	detection	detection	NOUN
easat-5899	14	6	systems	system	NOUN
easat-5899	14	7	(	(	PUNCT
easat-5899	14	8	ids	id	NOUN
easat-5899	14	9	)	)	PUNCT
easat-5899	14	10	are	be	AUX
easat-5899	14	11	vital	vital	ADJ
easat-5899	14	12	components	component	NOUN
easat-5899	14	13	of	of	ADP
easat-5899	14	14	network	network	NOUN
easat-5899	14	15	security	security	NOUN
easat-5899	14	16	,	,	PUNCT
easat-5899	14	17	designed	design	VERB
easat-5899	14	18	to	to	PART
easat-5899	14	19	identify	identify	VERB
easat-5899	14	20	anomalous	anomalous	ADJ
easat-5899	14	21	activities	activity	NOUN
easat-5899	14	22	and	and	CCONJ
easat-5899	14	23	prevent	prevent	VERB
easat-5899	14	24	potential	potential	ADJ
easat-5899	14	25	security	security	NOUN
easat-5899	14	26	breaches	breach	NOUN
easat-5899	14	27	[	[	X
easat-5899	14	28	1	1	NUM
easat-5899	14	29	,	,	PUNCT
easat-5899	14	30	2	2	NUM
easat-5899	14	31	]	]	PUNCT
easat-5899	14	32	.	.	PUNCT
easat-5899	15	1	despite	despite	SCONJ
easat-5899	15	2	their	their	PRON
easat-5899	15	3	importance	importance	NOUN
easat-5899	15	4	,	,	PUNCT
easat-5899	15	5	ids	id	NOUN
easat-5899	15	6	performance	performance	NOUN
easat-5899	15	7	is	be	AUX
easat-5899	15	8	significantly	significantly	ADV
easat-5899	15	9	hindered	hinder	VERB
easat-5899	15	10	when	when	SCONJ
easat-5899	15	11	detecting	detect	VERB
easat-5899	15	12	rare	rare	ADJ
easat-5899	15	13	attack	attack	NOUN
easat-5899	15	14	types	type	NOUN
easat-5899	15	15	,	,	PUNCT
easat-5899	15	16	such	such	ADJ
easat-5899	15	17	as	as	ADP
easat-5899	15	18	remote	remote	NOUN
easat-5899	15	19	-	-	PUNCT
easat-5899	15	20	to	to	ADP
easat-5899	15	21	-	-	PUNCT
easat-5899	15	22	local	local	ADJ
easat-5899	15	23	(	(	PUNCT
easat-5899	15	24	r2l	r2l	NOUN
easat-5899	15	25	)	)	PUNCT
easat-5899	15	26	and	and	CCONJ
easat-5899	15	27	user	user	NOUN
easat-5899	15	28	-	-	PUNCT
easat-5899	15	29	to	to	ADP
easat-5899	15	30	-	-	PUNCT
easat-5899	15	31	root	root	NOUN
easat-5899	15	32	(	(	PUNCT
easat-5899	15	33	u2r	u2r	PROPN
easat-5899	15	34	)	)	PUNCT
easat-5899	15	35	,	,	PUNCT
easat-5899	15	36	due	due	ADP
easat-5899	15	37	to	to	ADP
easat-5899	15	38	inherent	inherent	ADJ
easat-5899	15	39	data	datum	NOUN
easat-5899	15	40	imbalance	imbalance	NOUN
easat-5899	15	41	.	.	PUNCT
easat-5899	16	1	this	this	DET
easat-5899	16	2	limitation	limitation	NOUN
easat-5899	16	3	poses	pose	VERB
easat-5899	16	4	critical	critical	ADJ
easat-5899	16	5	risks	risk	NOUN
easat-5899	16	6	,	,	PUNCT
easat-5899	16	7	including	include	VERB
easat-5899	16	8	data	data	NOUN
easat-5899	16	9	breaches	breach	NOUN
easat-5899	16	10	and	and	CCONJ
easat-5899	16	11	system	system	NOUN
easat-5899	16	12	outages	outage	NOUN
easat-5899	16	13	,	,	PUNCT
easat-5899	16	14	emphasizing	emphasize	VERB
easat-5899	16	15	the	the	DET
easat-5899	16	16	urgent	urgent	ADJ
easat-5899	16	17	need	need	NOUN
easat-5899	16	18	to	to	PART
easat-5899	16	19	improve	improve	VERB
easat-5899	16	20	minority	minority	NOUN
easat-5899	16	21	class	class	NOUN
easat-5899	16	22	detection	detection	NOUN
easat-5899	16	23	in	in	ADP
easat-5899	16	24	ids	id	NOUN
easat-5899	16	25	.	.	PUNCT
easat-5899	17	1	previous	previous	ADJ
easat-5899	17	2	studies	study	NOUN
easat-5899	17	3	have	have	AUX
easat-5899	17	4	explored	explore	VERB
easat-5899	17	5	various	various	ADJ
easat-5899	17	6	approaches	approach	NOUN
easat-5899	17	7	to	to	PART
easat-5899	17	8	enhance	enhance	VERB
easat-5899	17	9	ids	id	NOUN
easat-5899	17	10	performance	performance	NOUN
easat-5899	17	11	.	.	PUNCT
easat-5899	18	1	kasongo	kasongo	PROPN
easat-5899	18	2	and	and	CCONJ
easat-5899	18	3	sun	sun	NOUN
easat-5899	18	4	[	[	X
easat-5899	18	5	3	3	NUM
easat-5899	18	6	]	]	X
easat-5899	18	7	utilized	utilize	VERB
easat-5899	18	8	random	random	ADJ
easat-5899	18	9	forest	forest	NOUN
easat-5899	18	10	-	-	PUNCT
easat-5899	18	11	based	base	VERB
easat-5899	18	12	models	model	NOUN
easat-5899	18	13	to	to	PART
easat-5899	18	14	improve	improve	VERB
easat-5899	18	15	detection	detection	NOUN
easat-5899	18	16	accuracy	accuracy	NOUN
easat-5899	18	17	;	;	PUNCT
easat-5899	18	18	however	however	ADV
easat-5899	18	19	,	,	PUNCT
easat-5899	18	20	the	the	DET
easat-5899	18	21	issue	issue	NOUN
easat-5899	18	22	of	of	ADP
easat-5899	18	23	data	datum	NOUN
easat-5899	18	24	imbalance	imbalance	NOUN
easat-5899	18	25	persisted	persist	VERB
easat-5899	18	26	kasongo	kasongo	NOUN
easat-5899	18	27	and	and	CCONJ
easat-5899	18	28	sun	sun	NOUN
easat-5899	18	29	[	[	X
easat-5899	18	30	3	3	NUM
easat-5899	18	31	]	]	PUNCT
easat-5899	18	32	.	.	PUNCT
easat-5899	19	1	acharya	acharya	PROPN
easat-5899	19	2	,	,	PUNCT
easat-5899	19	3	et	et	PROPN
easat-5899	19	4	al	al	PROPN
easat-5899	19	5	.	.	PUNCT
easat-5899	20	1	[	[	X
easat-5899	20	2	4	4	NUM
easat-5899	20	3	]	]	X
easat-5899	20	4	leveraged	leveraged	ADJ
easat-5899	20	5	bi	bi	NOUN
easat-5899	20	6	-	-	NOUN
easat-5899	20	7	lstm	lstm	ADJ
easat-5899	20	8	to	to	PART
easat-5899	20	9	capture	capture	VERB
easat-5899	20	10	temporal	temporal	ADJ
easat-5899	20	11	dependencies	dependency	NOUN
easat-5899	20	12	in	in	ADP
easat-5899	20	13	time	time	NOUN
easat-5899	20	14	-	-	PUNCT
easat-5899	20	15	series	series	NOUN
easat-5899	20	16	data	datum	NOUN
easat-5899	20	17	,	,	PUNCT
easat-5899	20	18	but	but	CCONJ
easat-5899	20	19	their	their	PRON
easat-5899	20	20	approach	approach	NOUN
easat-5899	20	21	fell	fall	VERB
easat-5899	20	22	short	short	ADV
easat-5899	20	23	in	in	ADP
easat-5899	20	24	addressing	address	VERB
easat-5899	20	25	minority	minority	NOUN
easat-5899	20	26	class	class	NOUN
easat-5899	20	27	detection[4	detection[4	PROPN
easat-5899	20	28	,	,	PUNCT
easat-5899	20	29	5	5	NUM
easat-5899	20	30	]	]	PUNCT
easat-5899	20	31	.	.	PUNCT
easat-5899	21	1	similarly	similarly	ADV
easat-5899	21	2	,	,	PUNCT
easat-5899	21	3	rohini	rohini	PROPN
easat-5899	21	4	,	,	PUNCT
easat-5899	21	5	et	et	PROPN
easat-5899	21	6	al	al	PROPN
easat-5899	21	7	.	.	PUNCT
easat-5899	22	1	[	[	X
easat-5899	22	2	6	6	NUM
easat-5899	22	3	]	]	PUNCT
easat-5899	22	4	targeted	target	VERB
easat-5899	22	5	iot	iot	ADJ
easat-5899	22	6	network	network	NOUN
easat-5899	22	7	environments	environment	NOUN
easat-5899	22	8	using	use	VERB
easat-5899	22	9	ensemble	ensemble	ADJ
easat-5899	22	10	models	model	NOUN
easat-5899	22	11	but	but	CCONJ
easat-5899	22	12	demonstrated	demonstrate	VERB
easat-5899	22	13	suboptimal	suboptimal	ADJ
easat-5899	22	14	performance	performance	NOUN
easat-5899	22	15	for	for	ADP
easat-5899	22	16	r2l	r2l	NOUN
easat-5899	22	17	and	and	CCONJ
easat-5899	22	18	u2r	u2r	VERB
easat-5899	22	19	attack	attack	NOUN
easat-5899	22	20	types	type	NOUN
easat-5899	22	21	rohini	rohini	X
easat-5899	22	22	,	,	PUNCT
easat-5899	22	23	et	et	PROPN
easat-5899	22	24	al	al	PROPN
easat-5899	22	25	.	.	PUNCT
easat-5899	23	1	[	[	X
easat-5899	23	2	6	6	NUM
easat-5899	23	3	]	]	PUNCT
easat-5899	23	4	.	.	PUNCT
easat-5899	23	5	alsaffar	alsaffar	PROPN
easat-5899	23	6	,	,	PUNCT
easat-5899	23	7	et	et	PROPN
easat-5899	23	8	al	al	PROPN
easat-5899	23	9	.	.	PUNCT
easat-5899	24	1	[	[	X
easat-5899	24	2	7	7	X
easat-5899	24	3	]	]	X
easat-5899	24	4	employed	employ	VERB
easat-5899	24	5	hybrid	hybrid	ADJ
easat-5899	24	6	feature	feature	NOUN
easat-5899	24	7	selection	selection	NOUN
easat-5899	24	8	and	and	CCONJ
easat-5899	24	9	stack	stack	VERB
easat-5899	24	10	ensemble	ensemble	ADJ
easat-5899	24	11	methods	method	NOUN
easat-5899	24	12	,	,	PUNCT
easat-5899	24	13	yet	yet	CCONJ
easat-5899	24	14	practical	practical	ADJ
easat-5899	24	15	challenges	challenge	NOUN
easat-5899	24	16	remained	remain	VERB
easat-5899	24	17	in	in	ADP
easat-5899	24	18	enhancing	enhance	VERB
easat-5899	24	19	detection	detection	NOUN
easat-5899	24	20	for	for	ADP
easat-5899	24	21	minority	minority	NOUN
easat-5899	24	22	classes	class	NOUN
easat-5899	24	23	[	[	X
easat-5899	24	24	7	7	NUM
easat-5899	24	25	]	]	PUNCT
easat-5899	24	26	.	.	PUNCT
easat-5899	25	1	to	to	PART
easat-5899	25	2	overcome	overcome	VERB
easat-5899	25	3	these	these	DET
easat-5899	25	4	limitations	limitation	NOUN
easat-5899	25	5	,	,	PUNCT
easat-5899	25	6	we	we	PRON
easat-5899	25	7	propose	propose	VERB
easat-5899	25	8	an	an	DET
easat-5899	25	9	ensemble	ensemble	ADJ
easat-5899	25	10	model	model	NOUN
easat-5899	25	11	integrating	integrate	VERB
easat-5899	25	12	bi	bi	NOUN
easat-5899	25	13	-	-	NOUN
easat-5899	25	14	lstm	lstm	ADJ
easat-5899	25	15	and	and	CCONJ
easat-5899	25	16	xgboost	xgboost	NOUN
easat-5899	25	17	.	.	PUNCT
easat-5899	26	1	bi	bi	ADJ
easat-5899	26	2	-	-	ADJ
easat-5899	26	3	lstm	lstm	ADJ
easat-5899	26	4	excels	excel	NOUN
easat-5899	26	5	at	at	ADP
easat-5899	26	6	capturing	capture	VERB
easat-5899	26	7	temporal	temporal	ADJ
easat-5899	26	8	dependencies	dependency	NOUN
easat-5899	26	9	in	in	ADP
easat-5899	26	10	sequential	sequential	ADJ
easat-5899	26	11	data	datum	NOUN
easat-5899	26	12	,	,	PUNCT
easat-5899	26	13	while	while	SCONJ
easat-5899	26	14	xgboost	xgboost	ADV
easat-5899	26	15	is	be	AUX
easat-5899	26	16	effective	effective	ADJ
easat-5899	26	17	for	for	ADP
easat-5899	26	18	2994	2994	NUM
easat-5899	26	19	edelweiss	edelweiss	PROPN
easat-5899	26	20	applied	apply	VERB
easat-5899	26	21	science	science	NOUN
easat-5899	26	22	and	and	CCONJ
easat-5899	26	23	technology	technology	NOUN
easat-5899	26	24	issn	issn	PROPN
easat-5899	26	25	:	:	PUNCT
easat-5899	26	26	2576	2576	NUM
easat-5899	26	27	-	-	SYM
easat-5899	26	28	8484	8484	NUM
easat-5899	26	29	vol	vol	NOUN
easat-5899	26	30	.	.	PROPN
easat-5899	27	1	9	9	NUM
easat-5899	27	2	,	,	PUNCT
easat-5899	27	3	no	no	INTJ
easat-5899	27	4	.	.	NOUN
easat-5899	28	1	3	3	NUM
easat-5899	28	2	:	:	SYM
easat-5899	28	3	2993	2993	NUM
easat-5899	28	4	-	-	SYM
easat-5899	28	5	2999	2999	NUM
easat-5899	28	6	,	,	PUNCT
easat-5899	28	7	2025	2025	NUM
easat-5899	28	8	doi	doi	NOUN
easat-5899	28	9	:	:	PUNCT
easat-5899	28	10	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	28	11	©	©	PROPN
easat-5899	28	12	2025	2025	NUM
easat-5899	28	13	by	by	ADP
easat-5899	28	14	the	the	DET
easat-5899	28	15	authors	author	NOUN
easat-5899	28	16	;	;	PUNCT
easat-5899	28	17	licensee	licensee	PROPN
easat-5899	28	18	learning	learn	VERB
easat-5899	28	19	gate	gate	NOUN
easat-5899	28	20	analyzing	analyze	VERB
easat-5899	28	21	non	non	ADJ
easat-5899	28	22	-	-	ADJ
easat-5899	28	23	linear	linear	ADJ
easat-5899	28	24	features	feature	NOUN
easat-5899	28	25	.	.	PUNCT
easat-5899	29	1	by	by	ADP
easat-5899	29	2	combining	combine	VERB
easat-5899	29	3	these	these	DET
easat-5899	29	4	strengths	strength	NOUN
easat-5899	29	5	,	,	PUNCT
easat-5899	29	6	our	our	PRON
easat-5899	29	7	approach	approach	NOUN
easat-5899	29	8	aims	aim	VERB
easat-5899	29	9	to	to	PART
easat-5899	29	10	enhance	enhance	VERB
easat-5899	29	11	ids	id	NOUN
easat-5899	29	12	reliability	reliability	NOUN
easat-5899	29	13	and	and	CCONJ
easat-5899	29	14	address	address	VERB
easat-5899	29	15	the	the	DET
easat-5899	29	16	data	datum	NOUN
easat-5899	29	17	imbalance	imbalance	NOUN
easat-5899	29	18	issue	issue	NOUN
easat-5899	29	19	.	.	PUNCT
easat-5899	30	1	this	this	DET
easat-5899	30	2	paper	paper	NOUN
easat-5899	30	3	is	be	AUX
easat-5899	30	4	organized	organize	VERB
easat-5899	30	5	as	as	SCONJ
easat-5899	30	6	follows	follow	VERB
easat-5899	30	7	:	:	PUNCT
easat-5899	30	8	section	section	NOUN
easat-5899	30	9	2	2	NUM
easat-5899	30	10	reviews	review	NOUN
easat-5899	30	11	related	relate	VERB
easat-5899	30	12	work	work	NOUN
easat-5899	30	13	and	and	CCONJ
easat-5899	30	14	discusses	discuss	VERB
easat-5899	30	15	existing	exist	VERB
easat-5899	30	16	approaches	approach	NOUN
easat-5899	30	17	to	to	ADP
easat-5899	30	18	the	the	DET
easat-5899	30	19	data	datum	NOUN
easat-5899	30	20	imbalance	imbalance	NOUN
easat-5899	30	21	problem	problem	NOUN
easat-5899	30	22	.	.	PUNCT
easat-5899	31	1	section	section	NOUN
easat-5899	31	2	3	3	NUM
easat-5899	31	3	details	detail	NOUN
easat-5899	31	4	the	the	DET
easat-5899	31	5	design	design	NOUN
easat-5899	31	6	and	and	CCONJ
easat-5899	31	7	structure	structure	NOUN
easat-5899	31	8	of	of	ADP
easat-5899	31	9	the	the	DET
easat-5899	31	10	proposed	propose	VERB
easat-5899	31	11	bi	bi	ADJ
easat-5899	31	12	-	-	ADJ
easat-5899	31	13	lstmxgboost	lstmxgboost	ADJ
easat-5899	31	14	ensemble	ensemble	ADJ
easat-5899	31	15	model	model	NOUN
easat-5899	31	16	.	.	PUNCT
easat-5899	32	1	section	section	NOUN
easat-5899	32	2	4	4	NUM
easat-5899	32	3	presents	present	VERB
easat-5899	32	4	the	the	DET
easat-5899	32	5	evaluation	evaluation	NOUN
easat-5899	32	6	results	result	NOUN
easat-5899	32	7	,	,	PUNCT
easat-5899	32	8	and	and	CCONJ
easat-5899	32	9	section	section	NOUN
easat-5899	32	10	5	5	NUM
easat-5899	32	11	discusses	discuss	VERB
easat-5899	32	12	the	the	DET
easat-5899	32	13	study	study	NOUN
easat-5899	32	14	's	's	PART
easat-5899	32	15	contributions	contribution	NOUN
easat-5899	32	16	,	,	PUNCT
easat-5899	32	17	limitations	limitation	NOUN
easat-5899	32	18	,	,	PUNCT
easat-5899	32	19	and	and	CCONJ
easat-5899	32	20	future	future	ADJ
easat-5899	32	21	directions	direction	NOUN
easat-5899	32	22	.	.	PUNCT
easat-5899	33	1	2	2	X
easat-5899	33	2	.	.	X
easat-5899	33	3	methodology	methodology	NOUN
easat-5899	33	4	in	in	ADP
easat-5899	33	5	this	this	DET
easat-5899	33	6	study	study	NOUN
easat-5899	33	7	,	,	PUNCT
easat-5899	33	8	we	we	PRON
easat-5899	33	9	developed	develop	VERB
easat-5899	33	10	an	an	DET
easat-5899	33	11	ensemble	ensemble	ADJ
easat-5899	33	12	model	model	NOUN
easat-5899	33	13	combining	combine	VERB
easat-5899	33	14	bidirectional	bidirectional	ADJ
easat-5899	33	15	long	long	ADJ
easat-5899	33	16	short	short	ADJ
easat-5899	33	17	-	-	PUNCT
easat-5899	33	18	term	term	NOUN
easat-5899	33	19	memory	memory	NOUN
easat-5899	33	20	(	(	PUNCT
easat-5899	33	21	bi	bi	NOUN
easat-5899	33	22	-	-	ADJ
easat-5899	33	23	lstm	lstm	ADJ
easat-5899	33	24	)	)	PUNCT
easat-5899	33	25	networks	network	NOUN
easat-5899	33	26	and	and	CCONJ
easat-5899	33	27	extreme	extreme	ADJ
easat-5899	33	28	gradient	gradient	NOUN
easat-5899	33	29	boosting	boost	VERB
easat-5899	33	30	(	(	PUNCT
easat-5899	33	31	xgboost	xgboost	ADV
easat-5899	33	32	)	)	PUNCT
easat-5899	33	33	to	to	PART
easat-5899	33	34	enhance	enhance	VERB
easat-5899	33	35	the	the	DET
easat-5899	33	36	detection	detection	NOUN
easat-5899	33	37	performance	performance	NOUN
easat-5899	33	38	of	of	ADP
easat-5899	33	39	minority	minority	NOUN
easat-5899	33	40	classes	class	NOUN
easat-5899	33	41	in	in	ADP
easat-5899	33	42	the	the	DET
easat-5899	33	43	nsl	nsl	PROPN
easat-5899	33	44	-	-	PUNCT
easat-5899	33	45	kdd	kdd	PROPN
easat-5899	33	46	dataset	dataset	NOUN
easat-5899	33	47	.	.	PUNCT
easat-5899	34	1	the	the	DET
easat-5899	34	2	methodology	methodology	NOUN
easat-5899	34	3	comprises	comprise	VERB
easat-5899	34	4	five	five	NUM
easat-5899	34	5	key	key	ADJ
easat-5899	34	6	stages	stage	NOUN
easat-5899	34	7	:	:	PUNCT
easat-5899	34	8	data	datum	NOUN
easat-5899	34	9	preprocessing	preprocessing	NOUN
easat-5899	34	10	,	,	PUNCT
easat-5899	34	11	bi	bi	ADJ
easat-5899	34	12	-	-	ADJ
easat-5899	34	13	lstm	lstm	ADJ
easat-5899	34	14	training	training	NOUN
easat-5899	34	15	,	,	PUNCT
easat-5899	34	16	xgboost	xgboost	ADP
easat-5899	34	17	training	training	NOUN
easat-5899	34	18	,	,	PUNCT
easat-5899	34	19	hyperparameter	hyperparameter	NOUN
easat-5899	34	20	optimization	optimization	NOUN
easat-5899	34	21	,	,	PUNCT
easat-5899	34	22	and	and	CCONJ
easat-5899	34	23	ensemble	ensemble	ADJ
easat-5899	34	24	model	model	NOUN
easat-5899	34	25	construction	construction	NOUN
easat-5899	34	26	.	.	PUNCT
easat-5899	35	1	2.1	2.1	NUM
easat-5899	35	2	.	.	PUNCT
easat-5899	35	3	data	datum	NOUN
easat-5899	35	4	preprocessing	preprocesse	VERB
easat-5899	35	5	the	the	DET
easat-5899	35	6	nsl	nsl	NOUN
easat-5899	35	7	-	-	PUNCT
easat-5899	35	8	kdd	kdd	PROPN
easat-5899	35	9	dataset	dataset	NOUN
easat-5899	35	10	was	be	AUX
easat-5899	35	11	partitioned	partition	VERB
easat-5899	35	12	into	into	ADP
easat-5899	35	13	training	training	NOUN
easat-5899	35	14	and	and	CCONJ
easat-5899	35	15	testing	testing	NOUN
easat-5899	35	16	sets	set	NOUN
easat-5899	35	17	and	and	CCONJ
easat-5899	35	18	preprocessed	preprocesse	VERB
easat-5899	35	19	to	to	PART
easat-5899	35	20	suit	suit	VERB
easat-5899	35	21	the	the	DET
easat-5899	35	22	bi	bi	NOUN
easat-5899	35	23	-	-	NOUN
easat-5899	35	24	lstm	lstm	ADJ
easat-5899	35	25	and	and	CCONJ
easat-5899	35	26	xgboost	xgboost	ADJ
easat-5899	35	27	frameworks	framework	NOUN
easat-5899	35	28	.	.	PUNCT
easat-5899	36	1	target	target	VERB
easat-5899	36	2	variable	variable	ADJ
easat-5899	36	3	conversion	conversion	NOUN
easat-5899	36	4	:	:	PUNCT
easat-5899	36	5	the	the	DET
easat-5899	36	6	target	target	NOUN
easat-5899	36	7	variable	variable	NOUN
easat-5899	36	8	was	be	AUX
easat-5899	36	9	converted	convert	VERB
easat-5899	36	10	using	use	VERB
easat-5899	36	11	one	one	NUM
easat-5899	36	12	-	-	PUNCT
easat-5899	36	13	hot	hot	ADJ
easat-5899	36	14	encoding	encoding	NOUN
easat-5899	36	15	.	.	PUNCT
easat-5899	37	1	data	datum	NOUN
easat-5899	37	2	reshaping	reshape	VERB
easat-5899	37	3	:	:	PUNCT
easat-5899	37	4	input	input	NOUN
easat-5899	37	5	data	datum	NOUN
easat-5899	37	6	were	be	AUX
easat-5899	37	7	transformed	transform	VERB
easat-5899	37	8	into	into	ADP
easat-5899	37	9	three	three	NUM
easat-5899	37	10	-	-	PUNCT
easat-5899	37	11	dimensional	dimensional	ADJ
easat-5899	37	12	tensors	tensor	NOUN
easat-5899	37	13	for	for	ADP
easat-5899	37	14	bi	bi	ADJ
easat-5899	37	15	-	-	ADJ
easat-5899	37	16	lstm	lstm	ADJ
easat-5899	37	17	training	training	NOUN
easat-5899	37	18	and	and	CCONJ
easat-5899	37	19	two	two	NUM
easat-5899	37	20	-	-	PUNCT
easat-5899	37	21	dimensional	dimensional	ADJ
easat-5899	37	22	arrays	array	NOUN
easat-5899	37	23	for	for	ADP
easat-5899	37	24	xgboost	xgboost	PROPN
easat-5899	37	25	.	.	PUNCT
easat-5899	38	1	feature	feature	NOUN
easat-5899	38	2	selection	selection	NOUN
easat-5899	38	3	:	:	PUNCT
easat-5899	38	4	features	feature	NOUN
easat-5899	38	5	were	be	AUX
easat-5899	38	6	evaluated	evaluate	VERB
easat-5899	38	7	and	and	CCONJ
easat-5899	38	8	optimized	optimize	VERB
easat-5899	38	9	based	base	VERB
easat-5899	38	10	on	on	ADP
easat-5899	38	11	the	the	DET
easat-5899	38	12	study	study	NOUN
easat-5899	38	13	by	by	ADP
easat-5899	38	14	shin	shin	PROPN
easat-5899	38	15	,	,	PUNCT
easat-5899	38	16	et	et	PROPN
easat-5899	38	17	al	al	PROPN
easat-5899	38	18	.	.	PUNCT
easat-5899	39	1	[	[	X
easat-5899	39	2	8	8	NUM
easat-5899	39	3	]	]	PUNCT
easat-5899	39	4	.	.	PUNCT
easat-5899	40	1	2.2	2.2	NUM
easat-5899	40	2	.	.	PUNCT
easat-5899	41	1	bi	bi	ADJ
easat-5899	41	2	-	-	ADJ
easat-5899	41	3	lstm	lstm	ADJ
easat-5899	41	4	training	training	NOUN
easat-5899	41	5	the	the	DET
easat-5899	41	6	bi	bi	ADJ
easat-5899	41	7	-	-	ADJ
easat-5899	41	8	lstm	lstm	ADJ
easat-5899	41	9	model	model	NOUN
easat-5899	41	10	was	be	AUX
easat-5899	41	11	configured	configure	VERB
easat-5899	41	12	to	to	PART
easat-5899	41	13	capture	capture	VERB
easat-5899	41	14	the	the	DET
easat-5899	41	15	temporal	temporal	ADJ
easat-5899	41	16	dependencies	dependency	NOUN
easat-5899	41	17	in	in	ADP
easat-5899	41	18	time	time	NOUN
easat-5899	41	19	-	-	PUNCT
easat-5899	41	20	series	series	NOUN
easat-5899	41	21	data	data	PROPN
easat-5899	41	22	.	.	PUNCT
easat-5899	42	1	model	model	PROPN
easat-5899	42	2	design	design	PROPN
easat-5899	42	3	:	:	PUNCT
easat-5899	42	4	the	the	DET
easat-5899	42	5	architecture	architecture	NOUN
easat-5899	42	6	was	be	AUX
easat-5899	42	7	developed	develop	VERB
easat-5899	42	8	following	follow	VERB
easat-5899	42	9	the	the	DET
easat-5899	42	10	guidelines	guideline	NOUN
easat-5899	42	11	from	from	ADP
easat-5899	42	12	padmavathi	padmavathi	PROPN
easat-5899	42	13	,	,	PUNCT
easat-5899	42	14	et	et	PROPN
easat-5899	42	15	al	al	PROPN
easat-5899	42	16	.	.	PUNCT
easat-5899	43	1	[	[	X
easat-5899	43	2	9	9	NUM
easat-5899	43	3	]	]	PUNCT
easat-5899	43	4	incorporating	incorporate	VERB
easat-5899	43	5	fundamental	fundamental	ADJ
easat-5899	43	6	strategies	strategy	NOUN
easat-5899	43	7	to	to	PART
easat-5899	43	8	address	address	VERB
easat-5899	43	9	data	datum	NOUN
easat-5899	43	10	imbalance	imbalance	NOUN
easat-5899	43	11	[	[	X
easat-5899	43	12	9	9	NUM
easat-5899	43	13	]	]	PUNCT
easat-5899	43	14	.	.	PUNCT
easat-5899	44	1	feature	feature	NOUN
easat-5899	44	2	extraction	extraction	NOUN
easat-5899	44	3	:	:	PUNCT
easat-5899	44	4	a	a	DET
easat-5899	44	5	combination	combination	NOUN
easat-5899	44	6	of	of	ADP
easat-5899	44	7	conv1d	conv1d	NOUN
easat-5899	44	8	and	and	CCONJ
easat-5899	44	9	maxpooling	maxpoole	VERB
easat-5899	44	10	layers	layer	NOUN
easat-5899	44	11	was	be	AUX
easat-5899	44	12	employed	employ	VERB
easat-5899	44	13	to	to	PART
easat-5899	44	14	extract	extract	VERB
easat-5899	44	15	critical	critical	ADJ
easat-5899	44	16	input	input	NOUN
easat-5899	44	17	features	feature	NOUN
easat-5899	44	18	.	.	PUNCT
easat-5899	45	1	normalization	normalization	NOUN
easat-5899	45	2	:	:	PUNCT
easat-5899	45	3	a	a	DET
easat-5899	45	4	dropout	dropout	NOUN
easat-5899	45	5	rate	rate	NOUN
easat-5899	45	6	of	of	ADP
easat-5899	45	7	0.5	0.5	NUM
easat-5899	45	8	was	be	AUX
easat-5899	45	9	applied	apply	VERB
easat-5899	45	10	to	to	PART
easat-5899	45	11	mitigate	mitigate	VERB
easat-5899	45	12	overfitting	overfitting	NOUN
easat-5899	45	13	.	.	PUNCT
easat-5899	46	1	bidirectional	bidirectional	ADJ
easat-5899	46	2	layers	layer	NOUN
easat-5899	46	3	:	:	PUNCT
easat-5899	46	4	two	two	NUM
easat-5899	46	5	bi	bi	ADJ
easat-5899	46	6	-	-	ADJ
easat-5899	46	7	lstm	lstm	ADJ
easat-5899	46	8	layers	layer	NOUN
easat-5899	46	9	(	(	PUNCT
easat-5899	46	10	64	64	NUM
easat-5899	46	11	and	and	CCONJ
easat-5899	46	12	128	128	NUM
easat-5899	46	13	units	unit	NOUN
easat-5899	46	14	)	)	PUNCT
easat-5899	46	15	were	be	AUX
easat-5899	46	16	utilized	utilize	VERB
easat-5899	46	17	to	to	PART
easat-5899	46	18	learn	learn	VERB
easat-5899	46	19	bidirectional	bidirectional	ADJ
easat-5899	46	20	temporal	temporal	ADJ
easat-5899	46	21	dependencies	dependency	NOUN
easat-5899	46	22	.	.	PUNCT
easat-5899	47	1	output	output	NOUN
easat-5899	47	2	layer	layer	NOUN
easat-5899	47	3	:	:	PUNCT
easat-5899	47	4	multi	multi	ADJ
easat-5899	47	5	-	-	ADJ
easat-5899	47	6	class	class	ADJ
easat-5899	47	7	classification	classification	NOUN
easat-5899	47	8	was	be	AUX
easat-5899	47	9	performed	perform	VERB
easat-5899	47	10	using	use	VERB
easat-5899	47	11	the	the	DET
easat-5899	47	12	softmax	softmax	ADJ
easat-5899	47	13	activation	activation	NOUN
easat-5899	47	14	function	function	NOUN
easat-5899	47	15	.	.	PUNCT
easat-5899	48	1	training	training	NOUN
easat-5899	48	2	algorithm	algorithm	NOUN
easat-5899	48	3	:	:	PUNCT
easat-5899	48	4	the	the	DET
easat-5899	48	5	model	model	NOUN
easat-5899	48	6	was	be	AUX
easat-5899	48	7	trained	train	VERB
easat-5899	48	8	with	with	ADP
easat-5899	48	9	the	the	DET
easat-5899	48	10	adam	adam	PROPN
easat-5899	48	11	optimizer	optimizer	NOUN
easat-5899	48	12	and	and	CCONJ
easat-5899	48	13	categorical	categorical	ADJ
easat-5899	48	14	crossentropy	crossentropy	NOUN
easat-5899	48	15	loss	loss	NOUN
easat-5899	48	16	function	function	NOUN
easat-5899	48	17	.	.	PUNCT
easat-5899	49	1	2.3	2.3	NUM
easat-5899	49	2	.	.	PUNCT
easat-5899	50	1	xgboost	xgboost	X
easat-5899	50	2	training	training	NOUN
easat-5899	50	3	xgboost	xgboost	X
easat-5899	50	4	was	be	AUX
easat-5899	50	5	utilized	utilize	VERB
easat-5899	50	6	to	to	PART
easat-5899	50	7	learn	learn	VERB
easat-5899	50	8	non	non	ADJ
easat-5899	50	9	-	-	ADJ
easat-5899	50	10	linear	linear	ADJ
easat-5899	50	11	characteristics	characteristic	NOUN
easat-5899	50	12	and	and	CCONJ
easat-5899	50	13	perform	perform	VERB
easat-5899	50	14	multi	multi	ADJ
easat-5899	50	15	-	-	ADJ
easat-5899	50	16	class	class	ADJ
easat-5899	50	17	classification	classification	NOUN
easat-5899	50	18	on	on	ADP
easat-5899	50	19	the	the	DET
easat-5899	50	20	nsl	nsl	PROPN
easat-5899	50	21	-	-	PUNCT
easat-5899	50	22	kdd	kdd	PROPN
easat-5899	50	23	dataset	dataset	NOUN
easat-5899	50	24	.	.	PUNCT
easat-5899	51	1	•	•	NUM
easat-5899	51	2	target	target	NOUN
easat-5899	51	3	variable	variable	NOUN
easat-5899	51	4	encoding	encoding	NOUN
easat-5899	51	5	:	:	PUNCT
easat-5899	51	6	the	the	DET
easat-5899	51	7	target	target	NOUN
easat-5899	51	8	variable	variable	NOUN
easat-5899	51	9	was	be	AUX
easat-5899	51	10	converted	convert	VERB
easat-5899	51	11	using	use	VERB
easat-5899	51	12	one	one	NUM
easat-5899	51	13	-	-	PUNCT
easat-5899	51	14	hot	hot	ADJ
easat-5899	51	15	encoding	encoding	NOUN
easat-5899	51	16	.	.	PUNCT
easat-5899	52	1	•	•	NUM
easat-5899	52	2	model	model	NOUN
easat-5899	52	3	configuration	configuration	NOUN
easat-5899	52	4	:	:	PUNCT
easat-5899	52	5	the	the	DET
easat-5899	52	6	training	training	NOUN
easat-5899	52	7	setup	setup	NOUN
easat-5899	52	8	followed	follow	VERB
easat-5899	52	9	the	the	DET
easat-5899	52	10	foundational	foundational	ADJ
easat-5899	52	11	work	work	NOUN
easat-5899	52	12	of	of	ADP
easat-5899	52	13	chen	chen	PROPN
easat-5899	52	14	and	and	CCONJ
easat-5899	52	15	guestrin	guestrin	ADJ
easat-5899	53	1	[	[	X
easat-5899	53	2	10	10	NUM
easat-5899	53	3	]	]	X
easat-5899	53	4	leveraging	leverage	VERB
easat-5899	53	5	xgboost	xgboost	PROPN
easat-5899	53	6	's	's	PART
easat-5899	53	7	efficiency	efficiency	NOUN
easat-5899	53	8	and	and	CCONJ
easat-5899	53	9	capability	capability	NOUN
easat-5899	53	10	for	for	ADP
easat-5899	53	11	non	non	ADJ
easat-5899	53	12	-	-	ADJ
easat-5899	53	13	linear	linear	ADJ
easat-5899	53	14	feature	feature	NOUN
easat-5899	53	15	analysis	analysis	NOUN
easat-5899	53	16	[	[	X
easat-5899	53	17	10	10	NUM
easat-5899	53	18	]	]	PUNCT
easat-5899	53	19	.	.	PUNCT
easat-5899	54	1	•	•	NUM
easat-5899	54	2	hyperparameter	hyperparameter	NOUN
easat-5899	54	3	settings	setting	NOUN
easat-5899	54	4	:	:	PUNCT
easat-5899	54	5	•	•	NUM
easat-5899	54	6	learning	learn	VERB
easat-5899	54	7	rate	rate	NOUN
easat-5899	54	8	:	:	PUNCT
easat-5899	54	9	0.1	0.1	NUM
easat-5899	54	10	•	•	NOUN
easat-5899	54	11	maximum	maximum	ADJ
easat-5899	54	12	depth	depth	NOUN
easat-5899	54	13	:	:	PUNCT
easat-5899	54	14	6	6	NUM
easat-5899	54	15	•	•	NOUN
easat-5899	54	16	minimum	minimum	NOUN
easat-5899	54	17	split	split	NOUN
easat-5899	54	18	weight	weight	NOUN
easat-5899	54	19	:	:	PUNCT
easat-5899	54	20	1	1	NUM
easat-5899	54	21	•	•	NOUN
easat-5899	54	22	evaluation	evaluation	NOUN
easat-5899	54	23	metric	metric	NOUN
easat-5899	54	24	:	:	PUNCT
easat-5899	54	25	multi	multi	ADJ
easat-5899	54	26	-	-	ADJ
easat-5899	54	27	class	class	ADJ
easat-5899	54	28	log	log	NOUN
easat-5899	54	29	loss	loss	NOUN
easat-5899	54	30	•	•	NOUN
easat-5899	54	31	optimization	optimization	NOUN
easat-5899	54	32	:	:	PUNCT
easat-5899	54	33	hyperparameters	hyperparameter	NOUN
easat-5899	54	34	were	be	AUX
easat-5899	54	35	fine	fine	ADV
easat-5899	54	36	-	-	PUNCT
easat-5899	54	37	tuned	tune	VERB
easat-5899	54	38	using	use	VERB
easat-5899	54	39	grid	grid	NOUN
easat-5899	54	40	search	search	NOUN
easat-5899	54	41	.	.	PUNCT
easat-5899	55	1	2995	2995	NUM
easat-5899	55	2	edelweiss	edelweiss	PROPN
easat-5899	55	3	applied	apply	VERB
easat-5899	55	4	science	science	NOUN
easat-5899	55	5	and	and	CCONJ
easat-5899	55	6	technology	technology	NOUN
easat-5899	55	7	issn	issn	PROPN
easat-5899	55	8	:	:	PUNCT
easat-5899	55	9	2576	2576	NUM
easat-5899	55	10	-	-	SYM
easat-5899	55	11	8484	8484	NUM
easat-5899	55	12	vol	vol	NOUN
easat-5899	55	13	.	.	PROPN
easat-5899	56	1	9	9	NUM
easat-5899	56	2	,	,	PUNCT
easat-5899	56	3	no	no	INTJ
easat-5899	56	4	.	.	NOUN
easat-5899	57	1	3	3	NUM
easat-5899	57	2	:	:	SYM
easat-5899	57	3	2993	2993	NUM
easat-5899	57	4	-	-	SYM
easat-5899	57	5	2999	2999	NUM
easat-5899	57	6	,	,	PUNCT
easat-5899	57	7	2025	2025	NUM
easat-5899	57	8	doi	doi	NOUN
easat-5899	57	9	:	:	PUNCT
easat-5899	57	10	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	57	11	©	©	PROPN
easat-5899	57	12	2025	2025	NUM
easat-5899	57	13	by	by	ADP
easat-5899	57	14	the	the	DET
easat-5899	57	15	authors	author	NOUN
easat-5899	57	16	;	;	PUNCT
easat-5899	57	17	licensee	licensee	PROPN
easat-5899	57	18	learning	learning	NOUN
easat-5899	57	19	gate	gate	VERB
easat-5899	57	20	2.4	2.4	NUM
easat-5899	57	21	.	.	PUNCT
easat-5899	58	1	hyperparameter	hyperparameter	NOUN
easat-5899	58	2	optimization	optimization	NOUN
easat-5899	58	3	to	to	PART
easat-5899	58	4	maximize	maximize	VERB
easat-5899	58	5	the	the	DET
easat-5899	58	6	performance	performance	NOUN
easat-5899	58	7	of	of	ADP
easat-5899	58	8	both	both	DET
easat-5899	58	9	bi	bi	NOUN
easat-5899	58	10	-	-	NOUN
easat-5899	58	11	lstm	lstm	ADJ
easat-5899	58	12	and	and	CCONJ
easat-5899	58	13	xgboost	xgboost	PROPN
easat-5899	58	14	,	,	PUNCT
easat-5899	58	15	hyperparameters	hyperparameter	NOUN
easat-5899	58	16	were	be	AUX
easat-5899	58	17	optimized	optimize	VERB
easat-5899	58	18	through	through	ADP
easat-5899	58	19	cross	cross	ADJ
easat-5899	58	20	-	-	ADJ
easat-5899	58	21	validation	validation	ADJ
easat-5899	58	22	and	and	CCONJ
easat-5899	58	23	grid	grid	NOUN
easat-5899	58	24	search	search	NOUN
easat-5899	58	25	[	[	X
easat-5899	58	26	11	11	NUM
easat-5899	58	27	]	]	PUNCT
easat-5899	58	28	.	.	PUNCT
easat-5899	59	1	•	•	NUM
easat-5899	59	2	bi	bi	NOUN
easat-5899	59	3	-	-	ADJ
easat-5899	59	4	lstm	lstm	ADJ
easat-5899	59	5	:	:	PUNCT
easat-5899	59	6	•	•	NUM
easat-5899	59	7	lstm	lstm	ADJ
easat-5899	59	8	units	unit	NOUN
easat-5899	59	9	:	:	PUNCT
easat-5899	59	10	64	64	NUM
easat-5899	59	11	,	,	PUNCT
easat-5899	59	12	128	128	NUM
easat-5899	59	13	•	•	NOUN
easat-5899	59	14	dropout	dropout	NOUN
easat-5899	59	15	ratio	ratio	NOUN
easat-5899	59	16	:	:	PUNCT
easat-5899	59	17	0.5	0.5	NUM
easat-5899	59	18	•	•	NOUN
easat-5899	59	19	learning	learning	NOUN
easat-5899	59	20	rate	rate	NOUN
easat-5899	59	21	:	:	PUNCT
easat-5899	59	22	optimized	optimize	VERB
easat-5899	59	23	value	value	NOUN
easat-5899	59	24	applied	apply	VERB
easat-5899	59	25	•	•	NOUN
easat-5899	59	26	xgboost	xgboost	ADV
easat-5899	59	27	:	:	PUNCT
easat-5899	59	28	•	•	NUM
easat-5899	59	29	learning	learn	VERB
easat-5899	59	30	rate	rate	NOUN
easat-5899	59	31	:	:	PUNCT
easat-5899	59	32	0.1	0.1	NUM
easat-5899	59	33	•	•	NOUN
easat-5899	59	34	maximum	maximum	ADJ
easat-5899	59	35	depth	depth	NOUN
easat-5899	59	36	:	:	PUNCT
easat-5899	59	37	6	6	NUM
easat-5899	59	38	•	•	NOUN
easat-5899	59	39	minimum	minimum	NOUN
easat-5899	59	40	split	split	NOUN
easat-5899	59	41	weight	weight	NOUN
easat-5899	59	42	:	:	PUNCT
easat-5899	59	43	1	1	NUM
easat-5899	59	44	2.5	2.5	NUM
easat-5899	59	45	.	.	PUNCT
easat-5899	60	1	ensemble	ensemble	ADJ
easat-5899	60	2	model	model	NOUN
easat-5899	60	3	design	design	VERB
easat-5899	60	4	the	the	DET
easat-5899	60	5	prediction	prediction	NOUN
easat-5899	60	6	outputs	output	NOUN
easat-5899	60	7	of	of	ADP
easat-5899	60	8	bi	bi	NOUN
easat-5899	60	9	-	-	NOUN
easat-5899	60	10	lstm	lstm	NOUN
easat-5899	60	11	and	and	CCONJ
easat-5899	60	12	xgboost	xgboost	NOUN
easat-5899	60	13	were	be	AUX
easat-5899	60	14	integrated	integrate	VERB
easat-5899	60	15	using	use	VERB
easat-5899	60	16	the	the	DET
easat-5899	60	17	hard	hard	ADJ
easat-5899	60	18	voting	voting	NOUN
easat-5899	60	19	technique	technique	NOUN
easat-5899	60	20	to	to	PART
easat-5899	60	21	construct	construct	VERB
easat-5899	60	22	the	the	DET
easat-5899	60	23	final	final	ADJ
easat-5899	60	24	ensemble	ensemble	ADJ
easat-5899	60	25	model	model	NOUN
easat-5899	60	26	.	.	PUNCT
easat-5899	61	1	reference	reference	NOUN
easat-5899	61	2	studies	study	NOUN
easat-5899	61	3	:	:	PUNCT
easat-5899	61	4	the	the	DET
easat-5899	61	5	hybrid	hybrid	ADJ
easat-5899	61	6	approach	approach	NOUN
easat-5899	61	7	combining	combine	VERB
easat-5899	61	8	deep	deep	ADJ
easat-5899	61	9	learning	learning	NOUN
easat-5899	61	10	and	and	CCONJ
easat-5899	61	11	machine	machine	NOUN
easat-5899	61	12	learning	learn	VERB
easat-5899	61	13	for	for	ADP
easat-5899	61	14	ids	id	NOUN
easat-5899	61	15	and	and	CCONJ
easat-5899	61	16	minority	minority	NOUN
easat-5899	61	17	class	class	NOUN
easat-5899	61	18	detection	detection	NOUN
easat-5899	61	19	was	be	AUX
easat-5899	61	20	inspired	inspire	VERB
easat-5899	61	21	bysajid	bysajid	NOUN
easat-5899	61	22	,	,	PUNCT
easat-5899	61	23	et	et	PROPN
easat-5899	61	24	al	al	PROPN
easat-5899	61	25	.	.	PUNCT
easat-5899	62	1	[	[	X
easat-5899	62	2	12	12	NUM
easat-5899	62	3	]	]	X
easat-5899	62	4	;	;	PUNCT
easat-5899	62	5	ajeesh	ajeesh	PROPN
easat-5899	62	6	and	and	CCONJ
easat-5899	62	7	mathew	mathew	PROPN
easat-5899	63	1	[	[	X
easat-5899	63	2	13	13	NUM
easat-5899	63	3	]	]	PUNCT
easat-5899	63	4	and	and	CCONJ
easat-5899	63	5	khan	khan	PROPN
easat-5899	63	6	and	and	CCONJ
easat-5899	63	7	kim	kim	PROPN
easat-5899	64	1	[	[	X
easat-5899	64	2	14	14	NUM
easat-5899	64	3	]	]	PUNCT
easat-5899	64	4	.	.	PUNCT
easat-5899	65	1	combination	combination	NOUN
easat-5899	65	2	methodology	methodology	NOUN
easat-5899	65	3	:	:	PUNCT
easat-5899	65	4	final	final	ADJ
easat-5899	65	5	classification	classification	NOUN
easat-5899	65	6	results	result	NOUN
easat-5899	65	7	were	be	AUX
easat-5899	65	8	derived	derive	VERB
easat-5899	65	9	using	use	VERB
easat-5899	65	10	a	a	DET
easat-5899	65	11	majority	majority	NOUN
easat-5899	65	12	voting	voting	NOUN
easat-5899	65	13	scheme	scheme	NOUN
easat-5899	65	14	that	that	PRON
easat-5899	65	15	combined	combine	VERB
easat-5899	65	16	the	the	DET
easat-5899	65	17	predictions	prediction	NOUN
easat-5899	65	18	of	of	ADP
easat-5899	65	19	both	both	DET
easat-5899	65	20	models	model	NOUN
easat-5899	65	21	.	.	PUNCT
easat-5899	66	1	3	3	X
easat-5899	66	2	.	.	X
easat-5899	66	3	experiments	experiment	NOUN
easat-5899	66	4	and	and	CCONJ
easat-5899	66	5	results	result	VERB
easat-5899	66	6	this	this	DET
easat-5899	66	7	study	study	NOUN
easat-5899	66	8	quantitatively	quantitatively	ADV
easat-5899	66	9	evaluated	evaluate	VERB
easat-5899	66	10	the	the	DET
easat-5899	66	11	performance	performance	NOUN
easat-5899	66	12	of	of	ADP
easat-5899	66	13	the	the	DET
easat-5899	66	14	proposed	propose	VERB
easat-5899	66	15	bi	bi	NOUN
easat-5899	66	16	-	-	ADJ
easat-5899	66	17	lstm	lstm	ADJ
easat-5899	66	18	-	-	PUNCT
easat-5899	66	19	xgboost	xgboost	ADV
easat-5899	66	20	ensemble	ensemble	ADJ
easat-5899	66	21	model	model	NOUN
easat-5899	66	22	against	against	ADP
easat-5899	66	23	the	the	DET
easat-5899	66	24	bi	bi	ADJ
easat-5899	66	25	-	-	ADJ
easat-5899	66	26	lstm	lstm	ADJ
easat-5899	66	27	standalone	standalone	NOUN
easat-5899	66	28	model	model	NOUN
easat-5899	66	29	and	and	CCONJ
easat-5899	66	30	the	the	DET
easat-5899	66	31	lstm	lstm	NOUN
easat-5899	66	32	+	+	CCONJ
easat-5899	66	33	random	random	ADJ
easat-5899	66	34	forest	forest	NOUN
easat-5899	66	35	ensemble	ensemble	ADJ
easat-5899	66	36	model	model	NOUN
easat-5899	66	37	.	.	PUNCT
easat-5899	67	1	performance	performance	NOUN
easat-5899	67	2	metrics	metric	NOUN
easat-5899	67	3	included	include	VERB
easat-5899	67	4	accuracy	accuracy	NOUN
easat-5899	67	5	,	,	PUNCT
easat-5899	67	6	precision	precision	NOUN
easat-5899	67	7	,	,	PUNCT
easat-5899	67	8	recall	recall	NOUN
easat-5899	67	9	,	,	PUNCT
easat-5899	67	10	and	and	CCONJ
easat-5899	67	11	f1	f1	NOUN
easat-5899	67	12	-	-	PUNCT
easat-5899	67	13	score	score	NOUN
easat-5899	67	14	,	,	PUNCT
easat-5899	67	15	with	with	ADP
easat-5899	67	16	a	a	DET
easat-5899	67	17	particular	particular	ADJ
easat-5899	67	18	focus	focus	NOUN
easat-5899	67	19	on	on	ADP
easat-5899	67	20	improving	improve	VERB
easat-5899	67	21	detection	detection	NOUN
easat-5899	67	22	performance	performance	NOUN
easat-5899	67	23	for	for	ADP
easat-5899	67	24	minority	minority	NOUN
easat-5899	67	25	classes	class	NOUN
easat-5899	67	26	.	.	PUNCT
easat-5899	68	1	3.1	3.1	NUM
easat-5899	68	2	.	.	PUNCT
easat-5899	68	3	performance	performance	NOUN
easat-5899	68	4	metrics	metric	NOUN
easat-5899	68	5	the	the	DET
easat-5899	68	6	evaluation	evaluation	NOUN
easat-5899	68	7	of	of	ADP
easat-5899	68	8	the	the	DET
easat-5899	68	9	models	model	NOUN
easat-5899	68	10	was	be	AUX
easat-5899	68	11	conducted	conduct	VERB
easat-5899	68	12	using	use	VERB
easat-5899	68	13	the	the	DET
easat-5899	68	14	following	follow	VERB
easat-5899	68	15	four	four	NUM
easat-5899	68	16	key	key	ADJ
easat-5899	68	17	metrics	metric	NOUN
easat-5899	68	18	:	:	PUNCT
easat-5899	68	19	accuracy	accuracy	NOUN
easat-5899	68	20	:	:	PUNCT
easat-5899	68	21	the	the	DET
easat-5899	68	22	proportion	proportion	NOUN
easat-5899	68	23	of	of	ADP
easat-5899	68	24	all	all	DET
easat-5899	68	25	predictions	prediction	NOUN
easat-5899	68	26	correctly	correctly	ADV
easat-5899	68	27	classified	classify	VERB
easat-5899	68	28	.	.	PUNCT
easat-5899	69	1	precision	precision	NOUN
easat-5899	69	2	:	:	PUNCT
easat-5899	69	3	the	the	DET
easat-5899	69	4	proportion	proportion	NOUN
easat-5899	69	5	of	of	ADP
easat-5899	69	6	predicted	predict	VERB
easat-5899	69	7	positive	positive	ADJ
easat-5899	69	8	samples	sample	NOUN
easat-5899	69	9	that	that	PRON
easat-5899	69	10	are	be	AUX
easat-5899	69	11	truly	truly	ADV
easat-5899	69	12	positive	positive	ADJ
easat-5899	69	13	,	,	PUNCT
easat-5899	69	14	crucial	crucial	ADJ
easat-5899	69	15	for	for	ADP
easat-5899	69	16	reducing	reduce	VERB
easat-5899	69	17	false	false	ADJ
easat-5899	69	18	positives	positive	NOUN
easat-5899	69	19	.	.	PUNCT
easat-5899	70	1	recall	recall	NOUN
easat-5899	70	2	:	:	PUNCT
easat-5899	70	3	the	the	DET
easat-5899	70	4	proportion	proportion	NOUN
easat-5899	70	5	of	of	ADP
easat-5899	70	6	actual	actual	ADJ
easat-5899	70	7	positive	positive	ADJ
easat-5899	70	8	samples	sample	NOUN
easat-5899	70	9	correctly	correctly	ADV
easat-5899	70	10	identified	identify	VERB
easat-5899	70	11	by	by	ADP
easat-5899	70	12	the	the	DET
easat-5899	70	13	model	model	NOUN
easat-5899	70	14	,	,	PUNCT
easat-5899	70	15	indicating	indicate	VERB
easat-5899	70	16	model	model	NOUN
easat-5899	70	17	stability	stability	NOUN
easat-5899	70	18	.	.	PUNCT
easat-5899	71	1	f1	f1	NOUN
easat-5899	71	2	-	-	PUNCT
easat-5899	71	3	score	score	NOUN
easat-5899	71	4	:	:	PUNCT
easat-5899	71	5	the	the	DET
easat-5899	71	6	harmonic	harmonic	ADJ
easat-5899	71	7	mean	mean	NOUN
easat-5899	71	8	of	of	ADP
easat-5899	71	9	precision	precision	NOUN
easat-5899	71	10	and	and	CCONJ
easat-5899	71	11	recall	recall	NOUN
easat-5899	71	12	,	,	PUNCT
easat-5899	71	13	particularly	particularly	ADV
easat-5899	71	14	valuable	valuable	ADJ
easat-5899	71	15	for	for	ADP
easat-5899	71	16	minority	minority	NOUN
easat-5899	71	17	class	class	NOUN
easat-5899	71	18	detection	detection	NOUN
easat-5899	71	19	performance	performance	NOUN
easat-5899	71	20	.	.	PUNCT
easat-5899	72	1	3.1.1	3.1.1	X
easat-5899	72	2	.	.	PUNCT
easat-5899	72	3	accuracy	accuracy	NOUN
easat-5899	72	4	accuracy	accuracy	NOUN
easat-5899	72	5	serves	serve	VERB
easat-5899	72	6	as	as	ADP
easat-5899	72	7	the	the	DET
easat-5899	72	8	primary	primary	ADJ
easat-5899	72	9	indicator	indicator	NOUN
easat-5899	72	10	of	of	ADP
easat-5899	72	11	overall	overall	ADJ
easat-5899	72	12	ids	id	NOUN
easat-5899	72	13	performance	performance	NOUN
easat-5899	72	14	.	.	PUNCT
easat-5899	73	1	the	the	DET
easat-5899	73	2	proposed	propose	VERB
easat-5899	73	3	bi	bi	ADJ
easat-5899	73	4	-	-	ADJ
easat-5899	73	5	lstmxgboost	lstmxgboost	ADJ
easat-5899	73	6	ensemble	ensemble	ADJ
easat-5899	73	7	model	model	NOUN
easat-5899	73	8	achieved	achieve	VERB
easat-5899	73	9	an	an	DET
easat-5899	73	10	accuracy	accuracy	NOUN
easat-5899	73	11	of	of	ADP
easat-5899	73	12	98.42	98.42	NUM
easat-5899	73	13	%	%	NOUN
easat-5899	73	14	,	,	PUNCT
easat-5899	73	15	surpassing	surpass	VERB
easat-5899	73	16	both	both	DET
easat-5899	73	17	the	the	DET
easat-5899	73	18	bi	bi	ADJ
easat-5899	73	19	-	-	ADJ
easat-5899	73	20	lstm	lstm	ADJ
easat-5899	73	21	standalone	standalone	NOUN
easat-5899	73	22	model	model	NOUN
easat-5899	73	23	(	(	PUNCT
easat-5899	73	24	98.00	98.00	NUM
easat-5899	73	25	%	%	NOUN
easat-5899	73	26	)	)	PUNCT
easat-5899	73	27	and	and	CCONJ
easat-5899	73	28	the	the	DET
easat-5899	73	29	lstm	lstm	NOUN
easat-5899	73	30	+	+	CCONJ
easat-5899	73	31	random	random	ADJ
easat-5899	73	32	forest	forest	NOUN
easat-5899	73	33	ensemble	ensemble	ADJ
easat-5899	73	34	model	model	NOUN
easat-5899	73	35	(	(	PUNCT
easat-5899	73	36	98.14	98.14	NUM
easat-5899	73	37	%	%	NOUN
easat-5899	73	38	)	)	PUNCT
easat-5899	73	39	.	.	PUNCT
easat-5899	74	1	table	table	NOUN
easat-5899	74	2	1	1	NUM
easat-5899	74	3	.	.	PUNCT
easat-5899	74	4	accuracy	accuracy	NOUN
easat-5899	74	5	.	.	PUNCT
easat-5899	75	1	model	model	NOUN
easat-5899	75	2	accuracy	accuracy	NOUN
easat-5899	75	3	(	(	PUNCT
easat-5899	75	4	%	%	INTJ
easat-5899	75	5	)	)	PUNCT
easat-5899	75	6	bi	bi	NOUN
easat-5899	75	7	-	-	ADJ
easat-5899	75	8	lstm	lstm	ADJ
easat-5899	75	9	98.00	98.00	NUM
easat-5899	75	10	bi	bi	NOUN
easat-5899	75	11	-	-	ADJ
easat-5899	75	12	lstm	lstm	ADJ
easat-5899	75	13	+	+	CCONJ
easat-5899	75	14	randomforest	randomfor	ADJ
easat-5899	75	15	ensemble	ensemble	ADJ
easat-5899	75	16	98.14	98.14	NUM
easat-5899	75	17	bi	bi	ADJ
easat-5899	75	18	-	-	NOUN
easat-5899	75	19	lstm	lstm	ADJ
easat-5899	75	20	+	+	CCONJ
easat-5899	76	1	xgboost	xgboost	ADV
easat-5899	76	2	ensemble	ensemble	ADJ
easat-5899	76	3	98.42	98.42	NUM
easat-5899	76	4	2996	2996	NUM
easat-5899	76	5	edelweiss	edelweiss	PROPN
easat-5899	76	6	applied	apply	VERB
easat-5899	76	7	science	science	NOUN
easat-5899	76	8	and	and	CCONJ
easat-5899	76	9	technology	technology	NOUN
easat-5899	76	10	issn	issn	PROPN
easat-5899	76	11	:	:	PUNCT
easat-5899	76	12	2576	2576	NUM
easat-5899	76	13	-	-	SYM
easat-5899	76	14	8484	8484	NUM
easat-5899	76	15	vol	vol	NOUN
easat-5899	76	16	.	.	PROPN
easat-5899	77	1	9	9	NUM
easat-5899	77	2	,	,	PUNCT
easat-5899	77	3	no	no	INTJ
easat-5899	77	4	.	.	NOUN
easat-5899	78	1	3	3	NUM
easat-5899	78	2	:	:	SYM
easat-5899	78	3	2993	2993	NUM
easat-5899	78	4	-	-	SYM
easat-5899	78	5	2999	2999	NUM
easat-5899	78	6	,	,	PUNCT
easat-5899	78	7	2025	2025	NUM
easat-5899	78	8	doi	doi	NOUN
easat-5899	78	9	:	:	PUNCT
easat-5899	78	10	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	78	11	©	©	PROPN
easat-5899	78	12	2025	2025	NUM
easat-5899	78	13	by	by	ADP
easat-5899	78	14	the	the	DET
easat-5899	78	15	authors	author	NOUN
easat-5899	78	16	;	;	PUNCT
easat-5899	78	17	licensee	licensee	PROPN
easat-5899	78	18	learning	learn	VERB
easat-5899	78	19	gate	gate	NOUN
easat-5899	78	20	3.1.2	3.1.2	PROPN
easat-5899	78	21	.	.	PUNCT
easat-5899	78	22	precision	precision	NOUN
easat-5899	78	23	precision	precision	NOUN
easat-5899	78	24	is	be	AUX
easat-5899	78	25	critical	critical	ADJ
easat-5899	78	26	for	for	ADP
easat-5899	78	27	minimizing	minimize	VERB
easat-5899	78	28	false	false	ADJ
easat-5899	78	29	positives	positive	NOUN
easat-5899	78	30	.	.	PUNCT
easat-5899	79	1	the	the	DET
easat-5899	79	2	proposed	propose	VERB
easat-5899	79	3	model	model	NOUN
easat-5899	79	4	recorded	record	VERB
easat-5899	79	5	a	a	DET
easat-5899	79	6	precision	precision	NOUN
easat-5899	79	7	of	of	ADP
easat-5899	79	8	98.53	98.53	NUM
easat-5899	79	9	%	%	NOUN
easat-5899	79	10	,	,	PUNCT
easat-5899	79	11	exceeding	exceed	VERB
easat-5899	79	12	the	the	DET
easat-5899	79	13	bi	bi	NOUN
easat-5899	79	14	-	-	NOUN
easat-5899	79	15	lstm	lstm	ADJ
easat-5899	79	16	(	(	PUNCT
easat-5899	79	17	97.94	97.94	NUM
easat-5899	79	18	%	%	NOUN
easat-5899	79	19	)	)	PUNCT
easat-5899	79	20	and	and	CCONJ
easat-5899	79	21	lstm	lstm	NOUN
easat-5899	79	22	+	+	CCONJ
easat-5899	79	23	random	random	ADJ
easat-5899	79	24	forest	forest	NOUN
easat-5899	79	25	(	(	PUNCT
easat-5899	79	26	98.23	98.23	NUM
easat-5899	79	27	%	%	NOUN
easat-5899	79	28	)	)	PUNCT
easat-5899	79	29	models	model	NOUN
easat-5899	79	30	.	.	PUNCT
easat-5899	80	1	table	table	NOUN
easat-5899	80	2	2	2	NUM
easat-5899	80	3	.	.	PUNCT
easat-5899	80	4	precision	precision	NOUN
easat-5899	80	5	.	.	PUNCT
easat-5899	81	1	model	model	NOUN
easat-5899	81	2	precision(%	precision(%	PROPN
easat-5899	81	3	)	)	PUNCT
easat-5899	81	4	bi	bi	NOUN
easat-5899	81	5	-	-	ADJ
easat-5899	81	6	lstm	lstm	ADJ
easat-5899	81	7	97.94	97.94	NUM
easat-5899	81	8	bi	bi	NOUN
easat-5899	81	9	-	-	ADJ
easat-5899	81	10	lstm	lstm	ADJ
easat-5899	81	11	+	+	CCONJ
easat-5899	81	12	randomforest	randomfor	ADJ
easat-5899	81	13	ensemble	ensemble	ADJ
easat-5899	81	14	98.23	98.23	NUM
easat-5899	81	15	bi	bi	ADJ
easat-5899	81	16	-	-	NOUN
easat-5899	81	17	lstm	lstm	ADJ
easat-5899	81	18	+	+	CCONJ
easat-5899	82	1	xgboost	xgboost	ADV
easat-5899	82	2	ensemble	ensemble	ADJ
easat-5899	82	3	98.53	98.53	NUM
easat-5899	82	4	3.1.3	3.1.3	NUM
easat-5899	82	5	.	.	PUNCT
easat-5899	82	6	recall	recall	PROPN
easat-5899	82	7	recall	recall	PROPN
easat-5899	82	8	highlights	highlight	NOUN
easat-5899	82	9	the	the	DET
easat-5899	82	10	model	model	NOUN
easat-5899	82	11	's	's	PART
easat-5899	82	12	ability	ability	NOUN
easat-5899	82	13	to	to	PART
easat-5899	82	14	detect	detect	VERB
easat-5899	82	15	actual	actual	ADJ
easat-5899	82	16	positive	positive	ADJ
easat-5899	82	17	instances	instance	NOUN
easat-5899	82	18	.	.	PUNCT
easat-5899	83	1	the	the	DET
easat-5899	83	2	proposed	propose	VERB
easat-5899	83	3	bi	bi	ADJ
easat-5899	83	4	-	-	ADJ
easat-5899	83	5	lstmxgboost	lstmxgboost	ADJ
easat-5899	83	6	ensemble	ensemble	ADJ
easat-5899	83	7	model	model	NOUN
easat-5899	83	8	achieved	achieve	VERB
easat-5899	83	9	the	the	DET
easat-5899	83	10	highest	high	ADJ
easat-5899	83	11	recall	recall	NOUN
easat-5899	83	12	of	of	ADP
easat-5899	83	13	98.42	98.42	NUM
easat-5899	83	14	%	%	NOUN
easat-5899	83	15	.	.	PUNCT
easat-5899	84	1	table	table	NOUN
easat-5899	84	2	3	3	NUM
easat-5899	84	3	.	.	PUNCT
easat-5899	84	4	recall	recall	PROPN
easat-5899	84	5	.	.	PUNCT
easat-5899	85	1	model	model	PROPN
easat-5899	85	2	recall	recall	PROPN
easat-5899	85	3	(	(	PUNCT
easat-5899	85	4	%	%	NOUN
easat-5899	85	5	)	)	PUNCT
easat-5899	85	6	bi	bi	NOUN
easat-5899	85	7	-	-	ADJ
easat-5899	85	8	lstm	lstm	ADJ
easat-5899	85	9	98.00	98.00	NUM
easat-5899	85	10	bi	bi	NOUN
easat-5899	85	11	-	-	ADJ
easat-5899	85	12	lstm	lstm	ADJ
easat-5899	85	13	+	+	CCONJ
easat-5899	85	14	randomforest	randomfor	ADJ
easat-5899	85	15	ensemble	ensemble	ADJ
easat-5899	85	16	98.14	98.14	NUM
easat-5899	85	17	bi	bi	ADJ
easat-5899	85	18	-	-	NOUN
easat-5899	85	19	lstm	lstm	ADJ
easat-5899	85	20	+	+	CCONJ
easat-5899	85	21	xgboost	xgboost	ADV
easat-5899	85	22	ensemble	ensemble	ADJ
easat-5899	85	23	98.42	98.42	NUM
easat-5899	85	24	3.1.4	3.1.4	NUM
easat-5899	85	25	.	.	PUNCT
easat-5899	86	1	f1	f1	NOUN
easat-5899	86	2	-	-	PUNCT
easat-5899	86	3	score	score	NOUN
easat-5899	86	4	the	the	DET
easat-5899	86	5	f1	f1	NOUN
easat-5899	86	6	-	-	PUNCT
easat-5899	86	7	score	score	NOUN
easat-5899	86	8	is	be	AUX
easat-5899	86	9	particularly	particularly	ADV
easat-5899	86	10	relevant	relevant	ADJ
easat-5899	86	11	for	for	ADP
easat-5899	86	12	minority	minority	NOUN
easat-5899	86	13	class	class	NOUN
easat-5899	86	14	detection	detection	NOUN
easat-5899	86	15	.	.	PUNCT
easat-5899	87	1	the	the	DET
easat-5899	87	2	bi	bi	ADJ
easat-5899	87	3	-	-	ADJ
easat-5899	87	4	lstm	lstm	ADJ
easat-5899	87	5	-	-	PUNCT
easat-5899	87	6	xgboost	xgboost	ADV
easat-5899	87	7	ensemble	ensemble	ADJ
easat-5899	87	8	model	model	NOUN
easat-5899	87	9	achieved	achieve	VERB
easat-5899	87	10	the	the	DET
easat-5899	87	11	highest	high	ADJ
easat-5899	87	12	f1	f1	NOUN
easat-5899	87	13	-	-	PUNCT
easat-5899	87	14	score	score	NOUN
easat-5899	87	15	of	of	ADP
easat-5899	87	16	98.37	98.37	NUM
easat-5899	87	17	%	%	NOUN
easat-5899	87	18	,	,	PUNCT
easat-5899	87	19	significantly	significantly	ADV
easat-5899	87	20	outperforming	outperform	VERB
easat-5899	87	21	the	the	DET
easat-5899	87	22	bi	bi	ADJ
easat-5899	87	23	-	-	ADJ
easat-5899	87	24	lstm	lstm	ADJ
easat-5899	87	25	model	model	NOUN
easat-5899	87	26	(	(	PUNCT
easat-5899	87	27	97.94	97.94	NUM
easat-5899	87	28	%	%	NOUN
easat-5899	87	29	)	)	PUNCT
easat-5899	87	30	and	and	CCONJ
easat-5899	87	31	lstm	lstm	NOUN
easat-5899	87	32	+	+	CCONJ
easat-5899	87	33	random	random	ADJ
easat-5899	87	34	forest	forest	NOUN
easat-5899	87	35	ensemble	ensemble	ADJ
easat-5899	87	36	model	model	NOUN
easat-5899	87	37	(	(	PUNCT
easat-5899	87	38	98.10	98.10	NUM
easat-5899	87	39	%	%	NOUN
easat-5899	87	40	)	)	PUNCT
easat-5899	87	41	.	.	PUNCT
easat-5899	88	1	statistical	statistical	ADJ
easat-5899	88	2	significance	significance	NOUN
easat-5899	88	3	was	be	AUX
easat-5899	88	4	confirmed	confirm	VERB
easat-5899	88	5	(	(	PUNCT
easat-5899	88	6	p	p	NOUN
easat-5899	88	7	-	-	PUNCT
easat-5899	88	8	value	value	NOUN
easat-5899	88	9	<	<	NOUN
easat-5899	88	10	0.05	0.05	NUM
easat-5899	88	11	)	)	PUNCT
easat-5899	88	12	.	.	PUNCT
easat-5899	89	1	table	table	NOUN
easat-5899	89	2	4	4	NUM
easat-5899	89	3	.	.	PUNCT
easat-5899	89	4	f1	f1	NOUN
easat-5899	89	5	-	-	PUNCT
easat-5899	89	6	score	score	NOUN
easat-5899	89	7	.	.	PUNCT
easat-5899	90	1	model	model	NOUN
easat-5899	90	2	f1	f1	NOUN
easat-5899	90	3	-	-	PUNCT
easat-5899	90	4	score	score	NOUN
easat-5899	90	5	(	(	PUNCT
easat-5899	90	6	%	%	INTJ
easat-5899	90	7	)	)	PUNCT
easat-5899	90	8	bi	bi	NOUN
easat-5899	90	9	-	-	ADJ
easat-5899	90	10	lstm	lstm	ADJ
easat-5899	90	11	97.94	97.94	NUM
easat-5899	90	12	bi	bi	NOUN
easat-5899	90	13	-	-	ADJ
easat-5899	90	14	lstm	lstm	ADJ
easat-5899	90	15	+	+	CCONJ
easat-5899	90	16	randomforest	randomforest	VERB
easat-5899	90	17	ensemble	ensemble	ADJ
easat-5899	90	18	98.10	98.10	NUM
easat-5899	90	19	bi	bi	NOUN
easat-5899	90	20	-	-	NOUN
easat-5899	90	21	lstm	lstm	ADJ
easat-5899	90	22	+	+	CCONJ
easat-5899	90	23	xgboost	xgboost	ADV
easat-5899	90	24	ensemble	ensemble	ADJ
easat-5899	90	25	98.37	98.37	NUM
easat-5899	90	26	3.2	3.2	NUM
easat-5899	90	27	.	.	PUNCT
easat-5899	91	1	minority	minority	NOUN
easat-5899	91	2	class	class	NOUN
easat-5899	91	3	detection	detection	NOUN
easat-5899	91	4	performance	performance	NOUN
easat-5899	91	5	3.2.1	3.2.1	NUM
easat-5899	91	6	.	.	PUNCT
easat-5899	92	1	r2l	r2l	NOUN
easat-5899	92	2	and	and	CCONJ
easat-5899	92	3	u2r	u2r	NOUN
easat-5899	92	4	classes	class	VERB
easat-5899	92	5	the	the	DET
easat-5899	92	6	proposed	propose	VERB
easat-5899	92	7	bi	bi	ADJ
easat-5899	92	8	-	-	ADJ
easat-5899	92	9	lstm	lstm	ADJ
easat-5899	92	10	-	-	PUNCT
easat-5899	92	11	xgboost	xgboost	ADV
easat-5899	92	12	ensemble	ensemble	ADJ
easat-5899	92	13	model	model	NOUN
easat-5899	92	14	demonstrated	demonstrate	VERB
easat-5899	92	15	significant	significant	ADJ
easat-5899	92	16	improvements	improvement	NOUN
easat-5899	92	17	in	in	ADP
easat-5899	92	18	detecting	detect	VERB
easat-5899	92	19	minority	minority	NOUN
easat-5899	92	20	classes	class	NOUN
easat-5899	92	21	such	such	ADJ
easat-5899	92	22	as	as	ADP
easat-5899	92	23	r2l	r2l	NOUN
easat-5899	92	24	and	and	CCONJ
easat-5899	92	25	u2r	u2r	NOUN
easat-5899	92	26	.	.	PROPN
easat-5899	93	1	for	for	ADP
easat-5899	93	2	the	the	DET
easat-5899	93	3	r2l	r2l	NOUN
easat-5899	93	4	class	class	NOUN
easat-5899	93	5	,	,	PUNCT
easat-5899	93	6	false	false	ADJ
easat-5899	93	7	positives	positive	NOUN
easat-5899	93	8	decreased	decrease	VERB
easat-5899	93	9	by	by	ADP
easat-5899	93	10	90	90	NUM
easat-5899	93	11	%	%	NOUN
easat-5899	93	12	,	,	PUNCT
easat-5899	93	13	from	from	ADP
easat-5899	93	14	355	355	NUM
easat-5899	93	15	cases	case	NOUN
easat-5899	93	16	(	(	PUNCT
easat-5899	93	17	bi	bi	ADJ
easat-5899	93	18	-	-	ADJ
easat-5899	93	19	lstm	lstm	ADJ
easat-5899	93	20	model	model	NOUN
easat-5899	93	21	)	)	PUNCT
easat-5899	93	22	to	to	ADP
easat-5899	93	23	36	36	NUM
easat-5899	93	24	cases	case	NOUN
easat-5899	93	25	.	.	PUNCT
easat-5899	94	1	for	for	ADP
easat-5899	94	2	the	the	DET
easat-5899	94	3	u2r	u2r	PROPN
easat-5899	94	4	class	class	NOUN
easat-5899	94	5	,	,	PUNCT
easat-5899	94	6	false	false	ADJ
easat-5899	94	7	positives	positive	NOUN
easat-5899	94	8	decreased	decrease	VERB
easat-5899	94	9	by	by	ADP
easat-5899	94	10	67	67	NUM
easat-5899	94	11	%	%	NOUN
easat-5899	94	12	,	,	PUNCT
easat-5899	94	13	from	from	ADP
easat-5899	94	14	18	18	NUM
easat-5899	94	15	cases	case	NOUN
easat-5899	94	16	(	(	PUNCT
easat-5899	94	17	bi	bi	ADJ
easat-5899	94	18	-	-	ADJ
easat-5899	94	19	lstm	lstm	ADJ
easat-5899	94	20	model	model	NOUN
easat-5899	94	21	)	)	PUNCT
easat-5899	94	22	to	to	ADP
easat-5899	94	23	6	6	NUM
easat-5899	94	24	cases	case	NOUN
easat-5899	94	25	.	.	PUNCT
easat-5899	95	1	additionally	additionally	ADV
easat-5899	95	2	,	,	PUNCT
easat-5899	95	3	the	the	DET
easat-5899	95	4	area	area	NOUN
easat-5899	95	5	under	under	ADP
easat-5899	95	6	the	the	DET
easat-5899	95	7	curve	curve	NOUN
easat-5899	95	8	(	(	PUNCT
easat-5899	95	9	auc	auc	NOUN
easat-5899	95	10	)	)	PUNCT
easat-5899	95	11	values	value	NOUN
easat-5899	95	12	showed	show	VERB
easat-5899	95	13	marked	mark	VERB
easat-5899	95	14	improvement	improvement	NOUN
easat-5899	95	15	.	.	PUNCT
easat-5899	96	1	r2l	r2l	NOUN
easat-5899	96	2	auc	auc	NOUN
easat-5899	96	3	increased	increase	VERB
easat-5899	96	4	from	from	ADP
easat-5899	96	5	0.88	0.88	NUM
easat-5899	96	6	(	(	PUNCT
easat-5899	96	7	lstm	lstm	NOUN
easat-5899	96	8	+	+	CCONJ
easat-5899	96	9	random	random	ADJ
easat-5899	96	10	forest	forest	NOUN
easat-5899	96	11	)	)	PUNCT
easat-5899	96	12	to	to	ADP
easat-5899	96	13	0.89	0.89	NUM
easat-5899	96	14	.	.	PUNCT
easat-5899	97	1	u2r	u2r	NOUN
easat-5899	97	2	auc	auc	NOUN
easat-5899	97	3	significantly	significantly	ADV
easat-5899	97	4	improved	improve	VERB
easat-5899	97	5	from	from	ADP
easat-5899	97	6	0.58	0.58	NUM
easat-5899	97	7	(	(	PUNCT
easat-5899	97	8	lstm	lstm	NOUN
easat-5899	97	9	+	+	CCONJ
easat-5899	97	10	random	random	ADJ
easat-5899	97	11	forest	forest	NOUN
easat-5899	97	12	)	)	PUNCT
easat-5899	97	13	to	to	ADP
easat-5899	97	14	0.66	0.66	NUM
easat-5899	97	15	.	.	PUNCT
easat-5899	98	1	this	this	PRON
easat-5899	98	2	indicates	indicate	VERB
easat-5899	98	3	that	that	SCONJ
easat-5899	98	4	the	the	DET
easat-5899	98	5	proposed	propose	VERB
easat-5899	98	6	model	model	NOUN
easat-5899	98	7	offers	offer	VERB
easat-5899	98	8	enhanced	enhanced	ADJ
easat-5899	98	9	reliability	reliability	NOUN
easat-5899	98	10	and	and	CCONJ
easat-5899	98	11	performance	performance	NOUN
easat-5899	98	12	in	in	ADP
easat-5899	98	13	detecting	detect	VERB
easat-5899	98	14	minority	minority	NOUN
easat-5899	98	15	classes	class	NOUN
easat-5899	98	16	.	.	PUNCT
easat-5899	99	1	table	table	NOUN
easat-5899	99	2	4	4	NUM
easat-5899	99	3	.	.	PUNCT
easat-5899	99	4	auc	auc	NOUN
easat-5899	99	5	value	value	NOUN
easat-5899	99	6	table	table	NOUN
easat-5899	99	7	.	.	PUNCT
easat-5899	100	1	class	class	NOUN
easat-5899	100	2	model	model	NOUN
easat-5899	100	3	false	false	ADJ
easat-5899	100	4	positives	positive	NOUN
easat-5899	100	5	auc	auc	NOUN
easat-5899	100	6	value	value	NOUN
easat-5899	100	7	r2l	r2l	NOUN
easat-5899	100	8	bi	bi	NOUN
easat-5899	100	9	-	-	NOUN
easat-5899	100	10	lstm	lstm	ADJ
easat-5899	100	11	+	+	CCONJ
easat-5899	100	12	randomforest	randomforest	VERB
easat-5899	100	13	74	74	NUM
easat-5899	100	14	0.88	0.88	NUM
easat-5899	100	15	bi	bi	NOUN
easat-5899	100	16	-	-	NOUN
easat-5899	100	17	lstm	lstm	ADJ
easat-5899	100	18	+	+	CCONJ
easat-5899	101	1	xgboost	xgboost	ADV
easat-5899	101	2	36	36	NUM
easat-5899	101	3	0.89	0.89	NUM
easat-5899	101	4	u2r	u2r	PUNCT
easat-5899	101	5	bi	bi	NOUN
easat-5899	101	6	-	-	NOUN
easat-5899	101	7	lstm	lstm	ADJ
easat-5899	101	8	+	+	CCONJ
easat-5899	101	9	randomforest	randomforest	VERB
easat-5899	101	10	11	11	NUM
easat-5899	101	11	0.58	0.58	NUM
easat-5899	101	12	bi	bi	NOUN
easat-5899	101	13	-	-	NOUN
easat-5899	101	14	lstm	lstm	ADJ
easat-5899	101	15	+	+	CCONJ
easat-5899	101	16	xgboost	xgboost	ADV
easat-5899	101	17	5	5	NUM
easat-5899	101	18	0.66	0.66	NUM
easat-5899	101	19	2997	2997	NUM
easat-5899	101	20	edelweiss	edelweiss	PROPN
easat-5899	101	21	applied	apply	VERB
easat-5899	101	22	science	science	NOUN
easat-5899	101	23	and	and	CCONJ
easat-5899	101	24	technology	technology	NOUN
easat-5899	101	25	issn	issn	PROPN
easat-5899	101	26	:	:	PUNCT
easat-5899	101	27	2576	2576	NUM
easat-5899	101	28	-	-	SYM
easat-5899	101	29	8484	8484	NUM
easat-5899	101	30	vol	vol	NOUN
easat-5899	101	31	.	.	PROPN
easat-5899	102	1	9	9	NUM
easat-5899	102	2	,	,	PUNCT
easat-5899	102	3	no	no	INTJ
easat-5899	102	4	.	.	NOUN
easat-5899	103	1	3	3	NUM
easat-5899	103	2	:	:	SYM
easat-5899	103	3	2993	2993	NUM
easat-5899	103	4	-	-	SYM
easat-5899	103	5	2999	2999	NUM
easat-5899	103	6	,	,	PUNCT
easat-5899	103	7	2025	2025	NUM
easat-5899	103	8	doi	doi	NOUN
easat-5899	103	9	:	:	PUNCT
easat-5899	103	10	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	103	11	©	©	PROPN
easat-5899	103	12	2025	2025	NUM
easat-5899	103	13	by	by	ADP
easat-5899	103	14	the	the	DET
easat-5899	103	15	authors	author	NOUN
easat-5899	103	16	;	;	PUNCT
easat-5899	103	17	licensee	licensee	PROPN
easat-5899	103	18	learning	learn	VERB
easat-5899	103	19	gate	gate	NOUN
easat-5899	103	20	figure	figure	NOUN
easat-5899	103	21	1	1	NUM
easat-5899	103	22	.	.	PUNCT
easat-5899	104	1	bi	bi	ADJ
easat-5899	104	2	-	-	NOUN
easat-5899	104	3	lstm+rf	lstm+rf	NOUN
easat-5899	104	4	roc	roc	PROPN
easat-5899	104	5	.	.	PROPN
easat-5899	104	6	figure	figure	NOUN
easat-5899	104	7	2	2	NUM
easat-5899	104	8	.	.	X
easat-5899	105	1	bi	bi	ADJ
easat-5899	105	2	-	-	ADJ
easat-5899	105	3	lstm+xgboost	lstm+xgboost	ADJ
easat-5899	105	4	roc	roc	PROPN
easat-5899	105	5	.	.	PUNCT
easat-5899	105	6	figures	figure	VERB
easat-5899	105	7	3–5	3–5	PRON
easat-5899	105	8	visually	visually	ADV
easat-5899	105	9	depict	depict	VERB
easat-5899	105	10	the	the	DET
easat-5899	105	11	detection	detection	NOUN
easat-5899	105	12	performance	performance	NOUN
easat-5899	105	13	improvements	improvement	NOUN
easat-5899	105	14	for	for	ADP
easat-5899	105	15	r2l	r2l	NOUN
easat-5899	105	16	and	and	CCONJ
easat-5899	105	17	u2r	u2r	NOUN
easat-5899	105	18	classes	class	NOUN
easat-5899	105	19	,	,	PUNCT
easat-5899	105	20	confirming	confirm	VERB
easat-5899	105	21	the	the	DET
easat-5899	105	22	proposed	propose	VERB
easat-5899	105	23	model	model	NOUN
easat-5899	105	24	's	's	PART
easat-5899	105	25	ability	ability	NOUN
easat-5899	105	26	to	to	PART
easat-5899	105	27	address	address	VERB
easat-5899	105	28	data	datum	NOUN
easat-5899	105	29	imbalance	imbalance	NOUN
easat-5899	105	30	issues	issue	NOUN
easat-5899	105	31	.	.	PUNCT
easat-5899	106	1	2998	2998	NUM
easat-5899	106	2	edelweiss	edelweiss	PROPN
easat-5899	106	3	applied	apply	VERB
easat-5899	106	4	science	science	NOUN
easat-5899	106	5	and	and	CCONJ
easat-5899	106	6	technology	technology	NOUN
easat-5899	106	7	issn	issn	PROPN
easat-5899	106	8	:	:	PUNCT
easat-5899	106	9	2576	2576	NUM
easat-5899	106	10	-	-	SYM
easat-5899	106	11	8484	8484	NUM
easat-5899	106	12	vol	vol	NOUN
easat-5899	106	13	.	.	PROPN
easat-5899	107	1	9	9	NUM
easat-5899	107	2	,	,	PUNCT
easat-5899	107	3	no	no	INTJ
easat-5899	107	4	.	.	NOUN
easat-5899	108	1	3	3	NUM
easat-5899	108	2	:	:	SYM
easat-5899	108	3	2993	2993	NUM
easat-5899	108	4	-	-	SYM
easat-5899	108	5	2999	2999	NUM
easat-5899	108	6	,	,	PUNCT
easat-5899	108	7	2025	2025	NUM
easat-5899	108	8	doi	doi	NOUN
easat-5899	108	9	:	:	PUNCT
easat-5899	108	10	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	108	11	©	©	PROPN
easat-5899	108	12	2025	2025	NUM
easat-5899	108	13	by	by	ADP
easat-5899	108	14	the	the	DET
easat-5899	108	15	authors	author	NOUN
easat-5899	108	16	;	;	PUNCT
easat-5899	108	17	licensee	licensee	PROPN
easat-5899	108	18	learning	learn	VERB
easat-5899	108	19	gate	gate	PROPN
easat-5899	108	20	figure	figure	NOUN
easat-5899	108	21	3	3	NUM
easat-5899	108	22	.	.	PUNCT
easat-5899	108	23	bi	bi	ADJ
easat-5899	108	24	-	-	ADJ
easat-5899	108	25	lstm	lstm	ADJ
easat-5899	108	26	figure	figure	NOUN
easat-5899	108	27	4	4	NUM
easat-5899	108	28	.	.	PUNCT
easat-5899	109	1	bi	bi	ADJ
easat-5899	109	2	-	-	NOUN
easat-5899	109	3	lstm	lstm	ADJ
easat-5899	109	4	+	+	CCONJ
easat-5899	109	5	rf	rf	PRON
easat-5899	109	6	4	4	NUM
easat-5899	109	7	.	.	PUNCT
easat-5899	109	8	conclusions	conclusion	NOUN
easat-5899	109	9	this	this	DET
easat-5899	109	10	study	study	NOUN
easat-5899	109	11	proposed	propose	VERB
easat-5899	109	12	an	an	DET
easat-5899	109	13	ensemble	ensemble	ADJ
easat-5899	109	14	model	model	NOUN
easat-5899	109	15	combining	combine	VERB
easat-5899	109	16	bi	bi	NOUN
easat-5899	109	17	-	-	NOUN
easat-5899	109	18	lstm	lstm	ADJ
easat-5899	109	19	and	and	CCONJ
easat-5899	109	20	xgboost	xgboost	NOUN
easat-5899	109	21	to	to	PART
easat-5899	109	22	address	address	VERB
easat-5899	109	23	the	the	DET
easat-5899	109	24	deterioration	deterioration	NOUN
easat-5899	109	25	of	of	ADP
easat-5899	109	26	detection	detection	NOUN
easat-5899	109	27	performance	performance	NOUN
easat-5899	109	28	due	due	ADP
easat-5899	109	29	to	to	ADP
easat-5899	109	30	data	datum	NOUN
easat-5899	109	31	imbalance	imbalance	NOUN
easat-5899	109	32	problems	problem	NOUN
easat-5899	109	33	in	in	ADP
easat-5899	109	34	network	network	NOUN
easat-5899	109	35	intrusion	intrusion	NOUN
easat-5899	109	36	detection	detection	NOUN
easat-5899	109	37	systems	system	NOUN
easat-5899	109	38	(	(	PUNCT
easat-5899	109	39	ids	id	NOUN
easat-5899	109	40	)	)	PUNCT
easat-5899	109	41	.	.	PUNCT
easat-5899	110	1	the	the	DET
easat-5899	110	2	proposed	propose	VERB
easat-5899	110	3	model	model	NOUN
easat-5899	110	4	,	,	PUNCT
easat-5899	110	5	which	which	PRON
easat-5899	110	6	combines	combine	VERB
easat-5899	110	7	the	the	DET
easat-5899	110	8	time	time	NOUN
easat-5899	110	9	series	series	PROPN
easat-5899	110	10	learning	learning	NOUN
easat-5899	110	11	strengths	strength	NOUN
easat-5899	110	12	of	of	ADP
easat-5899	110	13	bi	bi	NOUN
easat-5899	110	14	-	-	NOUN
easat-5899	110	15	lstm	lstm	NOUN
easat-5899	110	16	with	with	ADP
easat-5899	110	17	xgboost	xgboost	PROPN
easat-5899	110	18	's	's	PART
easat-5899	110	19	ability	ability	NOUN
easat-5899	110	20	to	to	PART
easat-5899	110	21	analyze	analyze	VERB
easat-5899	110	22	nonlinear	nonlinear	ADJ
easat-5899	110	23	characteristics	characteristic	NOUN
easat-5899	110	24	,	,	PUNCT
easat-5899	110	25	recorded	record	VERB
easat-5899	110	26	superior	superior	ADJ
easat-5899	110	27	performance	performance	NOUN
easat-5899	110	28	over	over	ADP
easat-5899	110	29	existing	exist	VERB
easat-5899	110	30	models	model	NOUN
easat-5899	110	31	(	(	PUNCT
easat-5899	110	32	bi	bi	NOUN
easat-5899	110	33	-	-	ADJ
easat-5899	110	34	lstm	lstm	ADJ
easat-5899	110	35	and	and	CCONJ
easat-5899	110	36	lstm	lstm	NOUN
easat-5899	110	37	+	+	CCONJ
easat-5899	110	38	random	random	ADJ
easat-5899	110	39	forest	forest	NOUN
easat-5899	110	40	)	)	PUNCT
easat-5899	110	41	with	with	ADP
easat-5899	110	42	accuracy	accuracy	NOUN
easat-5899	110	43	(	(	PUNCT
easat-5899	110	44	98.42	98.42	NUM
easat-5899	110	45	%	%	NOUN
easat-5899	110	46	)	)	PUNCT
easat-5899	110	47	,	,	PUNCT
easat-5899	110	48	precision	precision	NOUN
easat-5899	110	49	(	(	PUNCT
easat-5899	110	50	98.53	98.53	NUM
easat-5899	110	51	%	%	NOUN
easat-5899	110	52	)	)	PUNCT
easat-5899	110	53	,	,	PUNCT
easat-5899	110	54	reproducibility	reproducibility	NOUN
easat-5899	110	55	(	(	PUNCT
easat-5899	110	56	98.42	98.42	NUM
easat-5899	110	57	%	%	NOUN
easat-5899	110	58	)	)	PUNCT
easat-5899	110	59	,	,	PUNCT
easat-5899	110	60	and	and	CCONJ
easat-5899	110	61	f1	f1	NOUN
easat-5899	110	62	-	-	PUNCT
easat-5899	110	63	score	score	NOUN
easat-5899	110	64	(	(	PUNCT
easat-5899	110	65	98.37	98.37	NUM
easat-5899	110	66	%	%	NOUN
easat-5899	110	67	)	)	PUNCT
easat-5899	110	68	on	on	ADP
easat-5899	110	69	the	the	DET
easat-5899	110	70	nsl	nsl	PROPN
easat-5899	110	71	-	-	PUNCT
easat-5899	110	72	kdd	kdd	PROPN
easat-5899	110	73	dataset	dataset	NOUN
easat-5899	110	74	.	.	PUNCT
easat-5899	111	1	in	in	ADP
easat-5899	111	2	particular	particular	ADJ
easat-5899	111	3	,	,	PUNCT
easat-5899	111	4	it	it	PRON
easat-5899	111	5	reduced	reduce	VERB
easat-5899	111	6	the	the	DET
easat-5899	111	7	false	false	ADJ
easat-5899	111	8	positive	positive	ADJ
easat-5899	111	9	rates	rate	NOUN
easat-5899	111	10	of	of	ADP
easat-5899	111	11	the	the	DET
easat-5899	111	12	r2l	r2l	NOUN
easat-5899	111	13	and	and	CCONJ
easat-5899	111	14	u2r	u2r	NOUN
easat-5899	111	15	classes	class	NOUN
easat-5899	111	16	by	by	ADP
easat-5899	111	17	about	about	ADV
easat-5899	111	18	90	90	NUM
easat-5899	111	19	%	%	NOUN
easat-5899	111	20	and	and	CCONJ
easat-5899	111	21	67	67	NUM
easat-5899	111	22	%	%	NOUN
easat-5899	111	23	,	,	PUNCT
easat-5899	111	24	respectively	respectively	ADV
easat-5899	111	25	,	,	PUNCT
easat-5899	111	26	and	and	CCONJ
easat-5899	111	27	demonstrated	demonstrate	VERB
easat-5899	111	28	that	that	SCONJ
easat-5899	111	29	the	the	DET
easat-5899	111	30	auc	auc	NOUN
easat-5899	111	31	performance	performance	NOUN
easat-5899	111	32	improvement	improvement	NOUN
easat-5899	111	33	was	be	AUX
easat-5899	111	34	statistically	statistically	ADV
easat-5899	111	35	significant	significant	ADJ
easat-5899	111	36	(	(	PUNCT
easat-5899	111	37	p	p	NOUN
easat-5899	111	38	-	-	PUNCT
easat-5899	111	39	value	value	NOUN
easat-5899	111	40	<	<	NOUN
easat-5899	111	41	0.05	0.05	NUM
easat-5899	111	42	)	)	PUNCT
easat-5899	111	43	.	.	PUNCT
easat-5899	112	1	notably	notably	ADV
easat-5899	112	2	,	,	PUNCT
easat-5899	112	3	the	the	DET
easat-5899	112	4	model	model	NOUN
easat-5899	112	5	reduced	reduce	VERB
easat-5899	112	6	false	false	ADJ
easat-5899	112	7	positive	positive	ADJ
easat-5899	112	8	rates	rate	NOUN
easat-5899	112	9	for	for	ADP
easat-5899	112	10	r2l	r2l	NOUN
easat-5899	112	11	and	and	CCONJ
easat-5899	112	12	u2r	u2r	NOUN
easat-5899	112	13	classes	class	NOUN
easat-5899	112	14	by	by	ADP
easat-5899	112	15	90	90	NUM
easat-5899	112	16	%	%	NOUN
easat-5899	112	17	and	and	CCONJ
easat-5899	112	18	67	67	NUM
easat-5899	112	19	%	%	NOUN
easat-5899	112	20	,	,	PUNCT
easat-5899	112	21	respectively	respectively	ADV
easat-5899	112	22	,	,	PUNCT
easat-5899	112	23	and	and	CCONJ
easat-5899	112	24	demonstrated	demonstrate	VERB
easat-5899	112	25	statistically	statistically	ADV
easat-5899	112	26	significant	significant	ADJ
easat-5899	112	27	improvements	improvement	NOUN
easat-5899	112	28	in	in	ADP
easat-5899	112	29	auc	auc	ADJ
easat-5899	112	30	values	value	NOUN
easat-5899	112	31	.	.	PUNCT
easat-5899	113	1	2999	2999	NUM
easat-5899	113	2	edelweiss	edelweiss	PROPN
easat-5899	113	3	applied	apply	VERB
easat-5899	113	4	science	science	NOUN
easat-5899	113	5	and	and	CCONJ
easat-5899	113	6	technology	technology	NOUN
easat-5899	113	7	issn	issn	PROPN
easat-5899	113	8	:	:	PUNCT
easat-5899	113	9	2576	2576	NUM
easat-5899	113	10	-	-	SYM
easat-5899	113	11	8484	8484	NUM
easat-5899	113	12	vol	vol	NOUN
easat-5899	113	13	.	.	PROPN
easat-5899	114	1	9	9	NUM
easat-5899	114	2	,	,	PUNCT
easat-5899	114	3	no	no	INTJ
easat-5899	114	4	.	.	NOUN
easat-5899	115	1	3	3	NUM
easat-5899	115	2	:	:	SYM
easat-5899	115	3	2993	2993	NUM
easat-5899	115	4	-	-	SYM
easat-5899	115	5	2999	2999	NUM
easat-5899	115	6	,	,	PUNCT
easat-5899	115	7	2025	2025	NUM
easat-5899	115	8	doi	doi	NOUN
easat-5899	115	9	:	:	PUNCT
easat-5899	115	10	10.55214/25768484.v9i3.5899	10.55214/25768484.v9i3.5899	NUM
easat-5899	115	11	©	©	PROPN
easat-5899	115	12	2025	2025	NUM
easat-5899	115	13	by	by	ADP
easat-5899	115	14	the	the	DET
easat-5899	115	15	authors	author	NOUN
easat-5899	115	16	;	;	PUNCT
easat-5899	115	17	licensee	licensee	PROPN
easat-5899	115	18	learning	learning	NOUN
easat-5899	115	19	gate	gate	NOUN
easat-5899	115	20	further	further	ADJ
easat-5899	115	21	research	research	NOUN
easat-5899	115	22	will	will	AUX
easat-5899	115	23	explore	explore	VERB
easat-5899	115	24	generalizability	generalizability	NOUN
easat-5899	115	25	using	use	VERB
easat-5899	115	26	datasets	dataset	NOUN
easat-5899	115	27	like	like	ADP
easat-5899	115	28	cicids2017	cicids2017	NOUN
easat-5899	115	29	and	and	CCONJ
easat-5899	115	30	unsw	unsw	NOUN
easat-5899	115	31	-	-	PUNCT
easat-5899	115	32	nb15	nb15	PROPN
easat-5899	115	33	,	,	PUNCT
easat-5899	115	34	employ	employ	VERB
easat-5899	115	35	conditional	conditional	ADJ
easat-5899	115	36	gans	gan	NOUN
easat-5899	115	37	for	for	ADP
easat-5899	115	38	data	data	NOUN
easat-5899	115	39	augmentation	augmentation	NOUN
easat-5899	115	40	,	,	PUNCT
easat-5899	115	41	and	and	CCONJ
easat-5899	115	42	leverage	leverage	NOUN
easat-5899	115	43	pso	pso	NOUN
easat-5899	115	44	for	for	ADP
easat-5899	115	45	hyperparameter	hyperparameter	NOUN
easat-5899	115	46	optimization	optimization	NOUN
easat-5899	115	47	and	and	CCONJ
easat-5899	115	48	model	model	NOUN
easat-5899	115	49	efficiency	efficiency	NOUN
easat-5899	115	50	.	.	PUNCT
easat-5899	116	1	these	these	DET
easat-5899	116	2	approaches	approach	NOUN
easat-5899	116	3	aim	aim	VERB
easat-5899	116	4	to	to	PART
easat-5899	116	5	enhance	enhance	VERB
easat-5899	116	6	ids	id	NOUN
easat-5899	116	7	detection	detection	NOUN
easat-5899	116	8	performance	performance	NOUN
easat-5899	116	9	and	and	CCONJ
easat-5899	116	10	reliability	reliability	NOUN
easat-5899	116	11	,	,	PUNCT
easat-5899	116	12	paving	pave	VERB
easat-5899	116	13	the	the	DET
easat-5899	116	14	way	way	NOUN
easat-5899	116	15	for	for	ADP
easat-5899	116	16	advanced	advanced	ADJ
easat-5899	116	17	network	network	NOUN
easat-5899	116	18	security	security	NOUN
easat-5899	116	19	system	system	NOUN
easat-5899	116	20	designs	design	NOUN
easat-5899	116	21	.	.	PUNCT
easat-5899	117	1	transparency	transparency	NOUN
easat-5899	117	2	:	:	PUNCT
easat-5899	117	3	the	the	DET
easat-5899	117	4	authors	author	NOUN
easat-5899	117	5	confirm	confirm	VERB
easat-5899	117	6	that	that	SCONJ
easat-5899	117	7	the	the	DET
easat-5899	117	8	manuscript	manuscript	NOUN
easat-5899	117	9	is	be	AUX
easat-5899	117	10	an	an	DET
easat-5899	117	11	honest	honest	ADJ
easat-5899	117	12	,	,	PUNCT
easat-5899	117	13	accurate	accurate	ADJ
easat-5899	117	14	,	,	PUNCT
easat-5899	117	15	and	and	CCONJ
easat-5899	117	16	transparent	transparent	ADJ
easat-5899	117	17	account	account	NOUN
easat-5899	117	18	of	of	ADP
easat-5899	117	19	the	the	DET
easat-5899	117	20	study	study	NOUN
easat-5899	117	21	;	;	PUNCT
easat-5899	117	22	that	that	SCONJ
easat-5899	117	23	no	no	DET
easat-5899	117	24	vital	vital	ADJ
easat-5899	117	25	features	feature	NOUN
easat-5899	117	26	of	of	ADP
easat-5899	117	27	the	the	DET
easat-5899	117	28	study	study	NOUN
easat-5899	117	29	have	have	AUX
easat-5899	117	30	been	be	AUX
easat-5899	117	31	omitted	omit	VERB
easat-5899	117	32	;	;	PUNCT
easat-5899	117	33	and	and	CCONJ
easat-5899	117	34	that	that	SCONJ
easat-5899	117	35	any	any	DET
easat-5899	117	36	discrepancies	discrepancy	NOUN
easat-5899	117	37	from	from	ADP
easat-5899	117	38	the	the	DET
easat-5899	117	39	study	study	NOUN
easat-5899	117	40	as	as	SCONJ
easat-5899	117	41	planned	plan	VERB
easat-5899	117	42	have	have	AUX
easat-5899	117	43	been	be	AUX
easat-5899	117	44	explained	explain	VERB
easat-5899	117	45	.	.	PUNCT
easat-5899	118	1	this	this	DET
easat-5899	118	2	study	study	NOUN
easat-5899	118	3	followed	follow	VERB
easat-5899	118	4	all	all	DET
easat-5899	118	5	ethical	ethical	ADJ
easat-5899	118	6	practices	practice	NOUN
easat-5899	118	7	during	during	ADP
easat-5899	118	8	writing	writing	NOUN
easat-5899	118	9	.	.	PUNCT
easat-5899	119	1	copyright	copyright	NOUN
easat-5899	119	2	:	:	PUNCT
easat-5899	119	3	©	©	PROPN
easat-5899	119	4	2025	2025	NUM
easat-5899	119	5	by	by	ADP
easat-5899	119	6	the	the	DET
easat-5899	119	7	authors	author	NOUN
easat-5899	119	8	.	.	PUNCT
easat-5899	120	1	this	this	DET
easat-5899	120	2	open	open	ADJ
easat-5899	120	3	-	-	PUNCT
easat-5899	120	4	access	access	NOUN
easat-5899	120	5	article	article	NOUN
easat-5899	120	6	is	be	AUX
easat-5899	120	7	distributed	distribute	VERB
easat-5899	120	8	under	under	ADP
easat-5899	120	9	the	the	DET
easat-5899	120	10	terms	term	NOUN
easat-5899	120	11	and	and	CCONJ
easat-5899	120	12	conditions	condition	NOUN
easat-5899	120	13	of	of	ADP
easat-5899	120	14	the	the	DET
easat-5899	120	15	creative	creative	ADJ
easat-5899	120	16	commons	common	NOUN
easat-5899	120	17	attribution	attribution	NOUN
easat-5899	120	18	(	(	PUNCT
easat-5899	120	19	cc	cc	NOUN
easat-5899	120	20	by	by	ADP
easat-5899	120	21	)	)	PUNCT
easat-5899	120	22	license	license	NOUN
easat-5899	120	23	(	(	PUNCT
easat-5899	120	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-5899	120	25	)	)	PUNCT
easat-5899	120	26	.	.	PUNCT
easat-5899	121	1	references	reference	NOUN
easat-5899	121	2	[	[	X
easat-5899	121	3	1	1	NUM
easat-5899	121	4	]	]	PUNCT
easat-5899	121	5	s.-c	s.-c	NOUN
easat-5899	121	6	.	.	PUNCT
easat-5899	122	1	lim	lim	PROPN
easat-5899	122	2	,	,	PUNCT
easat-5899	122	3	"	"	PUNCT
easat-5899	122	4	a	a	DET
easat-5899	122	5	real	real	ADJ
easat-5899	122	6	-	-	PUNCT
easat-5899	122	7	time	time	NOUN
easat-5899	122	8	intrusion	intrusion	NOUN
easat-5899	122	9	detection	detection	NOUN
easat-5899	122	10	based	base	VERB
easat-5899	122	11	on	on	ADP
easat-5899	122	12	monitoring	monitor	VERB
easat-5899	122	13	in	in	ADP
easat-5899	122	14	network	network	NOUN
easat-5899	122	15	security	security	NOUN
easat-5899	122	16	,	,	PUNCT
easat-5899	122	17	"	"	PUNCT
easat-5899	122	18	the	the	DET
easat-5899	122	19	journal	journal	NOUN
easat-5899	122	20	of	of	ADP
easat-5899	122	21	the	the	DET
easat-5899	122	22	institute	institute	PROPN
easat-5899	122	23	of	of	ADP
easat-5899	122	24	internet	internet	NOUN
easat-5899	122	25	,	,	PUNCT
easat-5899	122	26	broadcasting	broadcasting	NOUN
easat-5899	122	27	and	and	CCONJ
easat-5899	122	28	communication	communication	NOUN
easat-5899	122	29	,	,	PUNCT
easat-5899	122	30	vol	vol	NOUN
easat-5899	122	31	.	.	PROPN
easat-5899	122	32	13	13	NUM
easat-5899	122	33	,	,	PUNCT
easat-5899	122	34	no	no	INTJ
easat-5899	122	35	.	.	NOUN
easat-5899	122	36	3	3	NUM
easat-5899	122	37	,	,	PUNCT
easat-5899	122	38	pp	pp	ADJ
easat-5899	122	39	.	.	PUNCT
easat-5899	123	1	9	9	NUM
easat-5899	123	2	-	-	SYM
easat-5899	123	3	15	15	NUM
easat-5899	123	4	,	,	PUNCT
easat-5899	123	5	2013	2013	NUM
easat-5899	123	6	.	.	PUNCT
easat-5899	124	1	https://doi.org/10.7236/jiibc.2013.13.3.9	https://doi.org/10.7236/jiibc.2013.13.3.9	X
easat-5899	125	1	[	[	X
easat-5899	125	2	2	2	NUM
easat-5899	125	3	]	]	PUNCT
easat-5899	125	4	y.-j	y.-j	PROPN
easat-5899	125	5	.	.	PUNCT
easat-5899	126	1	kim	kim	PROPN
easat-5899	126	2	et	et	PROPN
easat-5899	126	3	al	al	PROPN
easat-5899	126	4	.	.	PROPN
easat-5899	126	5	,	,	PUNCT
easat-5899	126	6	"	"	PUNCT
easat-5899	126	7	a	a	DET
easat-5899	126	8	study	study	NOUN
easat-5899	126	9	on	on	ADP
easat-5899	126	10	the	the	DET
easat-5899	126	11	exposures	exposure	NOUN
easat-5899	126	12	and	and	CCONJ
easat-5899	126	13	threats	threat	NOUN
easat-5899	126	14	for	for	ADP
easat-5899	126	15	internet	internet	NOUN
easat-5899	126	16	of	of	ADP
easat-5899	126	17	things	thing	NOUN
easat-5899	126	18	(	(	PUNCT
easat-5899	126	19	iot	iot	NOUN
easat-5899	126	20	)	)	PUNCT
easat-5899	126	21	ip	ip	NOUN
easat-5899	126	22	,	,	PUNCT
easat-5899	126	23	"	"	PUNCT
easat-5899	126	24	the	the	DET
easat-5899	126	25	journal	journal	NOUN
easat-5899	126	26	of	of	ADP
easat-5899	126	27	the	the	DET
easat-5899	126	28	convergence	convergence	NOUN
easat-5899	126	29	on	on	ADP
easat-5899	126	30	culture	culture	NOUN
easat-5899	126	31	technology	technology	NOUN
easat-5899	126	32	,	,	PUNCT
easat-5899	126	33	vol	vol	NOUN
easat-5899	126	34	.	.	PROPN
easat-5899	126	35	2	2	NUM
easat-5899	126	36	,	,	PUNCT
easat-5899	126	37	no	no	INTJ
easat-5899	126	38	.	.	NOUN
easat-5899	126	39	4	4	NUM
easat-5899	126	40	,	,	PUNCT
easat-5899	126	41	pp	pp	ADJ
easat-5899	126	42	.	.	PUNCT
easat-5899	127	1	77	77	NUM
easat-5899	127	2	-	-	SYM
easat-5899	127	3	82	82	NUM
easat-5899	127	4	,	,	PUNCT
easat-5899	127	5	2016	2016	NUM
easat-5899	127	6	.	.	PUNCT
easat-5899	128	1	https://doi.org/10.17703/jcct.2016.2.4.77	https://doi.org/10.17703/jcct.2016.2.4.77	PROPN
easat-5899	129	1	[	[	X
easat-5899	129	2	3	3	X
easat-5899	129	3	]	]	PUNCT
easat-5899	129	4	s.	s.	PROPN
easat-5899	129	5	m.	m.	PROPN
easat-5899	129	6	kasongo	kasongo	PROPN
easat-5899	129	7	and	and	CCONJ
easat-5899	129	8	y.	y.	PROPN
easat-5899	129	9	sun	sun	PROPN
easat-5899	129	10	,	,	PUNCT
easat-5899	129	11	"	"	PUNCT
easat-5899	129	12	a	a	DET
easat-5899	129	13	deep	deep	ADJ
easat-5899	129	14	gated	gate	VERB
easat-5899	129	15	recurrent	recurrent	ADJ
easat-5899	129	16	unit	unit	NOUN
easat-5899	129	17	based	base	VERB
easat-5899	129	18	model	model	NOUN
easat-5899	129	19	for	for	ADP
easat-5899	129	20	wireless	wireless	ADJ
easat-5899	129	21	intrusion	intrusion	NOUN
easat-5899	129	22	detection	detection	NOUN
easat-5899	129	23	system	system	NOUN
easat-5899	129	24	,	,	PUNCT
easat-5899	129	25	"	"	PUNCT
easat-5899	129	26	ict	ict	PROPN
easat-5899	129	27	express	express	NOUN
easat-5899	129	28	,	,	PUNCT
easat-5899	129	29	vol	vol	NOUN
easat-5899	129	30	.	.	PROPN
easat-5899	130	1	7	7	NUM
easat-5899	130	2	,	,	PUNCT
easat-5899	130	3	no	no	INTJ
easat-5899	130	4	.	.	NOUN
easat-5899	130	5	1	1	NUM
easat-5899	130	6	,	,	PUNCT
easat-5899	130	7	pp	pp	ADJ
easat-5899	130	8	.	.	PUNCT
easat-5899	131	1	81	81	NUM
easat-5899	131	2	-	-	SYM
easat-5899	131	3	87	87	NUM
easat-5899	131	4	,	,	PUNCT
easat-5899	131	5	2021	2021	NUM
easat-5899	131	6	.	.	PUNCT
easat-5899	132	1	https://doi.org/10.1016/j.icte.2020.03.002	https://doi.org/10.1016/j.icte.2020.03.002	NOUN
easat-5899	133	1	[	[	X
easat-5899	133	2	4	4	NUM
easat-5899	133	3	]	]	PUNCT
easat-5899	133	4	t.	t.	NOUN
easat-5899	133	5	acharya	acharya	PROPN
easat-5899	133	6	,	,	PUNCT
easat-5899	133	7	a.	a.	PROPN
easat-5899	133	8	annamalai	annamalai	PROPN
easat-5899	133	9	,	,	PUNCT
easat-5899	133	10	and	and	CCONJ
easat-5899	133	11	m.	m.	PROPN
easat-5899	133	12	f.	f.	PROPN
easat-5899	133	13	chouikha	chouikha	PROPN
easat-5899	133	14	,	,	PUNCT
easat-5899	133	15	"	"	PUNCT
easat-5899	133	16	addressing	address	VERB
easat-5899	133	17	the	the	DET
easat-5899	133	18	class	class	NOUN
easat-5899	133	19	imbalance	imbalance	NOUN
easat-5899	133	20	problem	problem	NOUN
easat-5899	133	21	in	in	ADP
easat-5899	133	22	network	network	NOUN
easat-5899	133	23	-	-	PUNCT
easat-5899	133	24	based	base	VERB
easat-5899	133	25	anomaly	anomaly	NOUN
easat-5899	133	26	detection	detection	NOUN
easat-5899	133	27	,	,	PUNCT
easat-5899	133	28	"	"	PUNCT
easat-5899	133	29	presented	present	VERB
easat-5899	133	30	at	at	ADP
easat-5899	133	31	the	the	DET
easat-5899	133	32	in	in	ADP
easat-5899	133	33	2024	2024	NUM
easat-5899	133	34	ieee	ieee	NOUN
easat-5899	133	35	14th	14th	ADJ
easat-5899	133	36	symposium	symposium	NOUN
easat-5899	133	37	on	on	ADP
easat-5899	133	38	computer	computer	NOUN
easat-5899	133	39	applications	application	NOUN
easat-5899	133	40	&	&	CCONJ
easat-5899	133	41	industrial	industrial	ADJ
easat-5899	133	42	electronics	electronic	NOUN
easat-5899	133	43	(	(	PUNCT
easat-5899	133	44	iscaie	iscaie	NOUN
easat-5899	133	45	)	)	PUNCT
easat-5899	133	46	(	(	PUNCT
easat-5899	133	47	pp	pp	X
easat-5899	133	48	.	.	PUNCT
easat-5899	134	1	1	1	NUM
easat-5899	134	2	-	-	SYM
easat-5899	134	3	6	6	NUM
easat-5899	134	4	)	)	PUNCT
easat-5899	134	5	.	.	PUNCT
easat-5899	135	1	ieee	ieee	NOUN
easat-5899	135	2	,	,	PUNCT
easat-5899	135	3	2024	2024	NUM
easat-5899	135	4	.	.	PUNCT
easat-5899	136	1	[	[	X
easat-5899	136	2	5	5	X
easat-5899	136	3	]	]	PUNCT
easat-5899	136	4	s.	s.	PROPN
easat-5899	136	5	yoon	yoon	PROPN
easat-5899	136	6	,	,	PUNCT
easat-5899	136	7	"	"	PUNCT
easat-5899	136	8	detecting	detect	VERB
easat-5899	136	9	abnormal	abnormal	ADJ
easat-5899	136	10	human	human	ADJ
easat-5899	136	11	movements	movement	NOUN
easat-5899	136	12	based	base	VERB
easat-5899	136	13	on	on	ADP
easat-5899	136	14	variational	variational	ADJ
easat-5899	136	15	autoencoder	autoencoder	NOUN
easat-5899	136	16	,	,	PUNCT
easat-5899	136	17	"	"	PUNCT
easat-5899	136	18	international	international	ADJ
easat-5899	136	19	journal	journal	NOUN
easat-5899	136	20	of	of	ADP
easat-5899	136	21	internet	internet	NOUN
easat-5899	136	22	,	,	PUNCT
easat-5899	136	23	broadcasting	broadcasting	NOUN
easat-5899	136	24	and	and	CCONJ
easat-5899	136	25	communication	communication	NOUN
easat-5899	136	26	,	,	PUNCT
easat-5899	136	27	vol	vol	NOUN
easat-5899	136	28	.	.	PROPN
easat-5899	136	29	15	15	NUM
easat-5899	136	30	,	,	PUNCT
easat-5899	136	31	no	no	INTJ
easat-5899	136	32	.	.	NOUN
easat-5899	136	33	3	3	NUM
easat-5899	136	34	,	,	PUNCT
easat-5899	136	35	pp	pp	ADJ
easat-5899	136	36	.	.	PUNCT
easat-5899	137	1	94	94	NUM
easat-5899	137	2	-	-	SYM
easat-5899	137	3	102	102	NUM
easat-5899	137	4	,	,	PUNCT
easat-5899	137	5	2023	2023	NUM
easat-5899	137	6	.	.	PUNCT
easat-5899	138	1	[	[	X
easat-5899	138	2	6	6	NUM
easat-5899	138	3	]	]	PUNCT
easat-5899	138	4	g.	g.	PROPN
easat-5899	138	5	rohini	rohini	PROPN
easat-5899	138	6	,	,	PUNCT
easat-5899	138	7	c.	c.	PROPN
easat-5899	138	8	gnana	gnana	PROPN
easat-5899	138	9	kousalya	kousalya	PROPN
easat-5899	138	10	,	,	PUNCT
easat-5899	138	11	and	and	CCONJ
easat-5899	138	12	j.	j.	PROPN
easat-5899	138	13	bino	bino	PROPN
easat-5899	138	14	,	,	PUNCT
easat-5899	138	15	"	"	PUNCT
easat-5899	138	16	intrusion	intrusion	NOUN
easat-5899	138	17	detection	detection	NOUN
easat-5899	138	18	system	system	NOUN
easat-5899	138	19	with	with	ADP
easat-5899	138	20	an	an	DET
easat-5899	138	21	ensemble	ensemble	ADJ
easat-5899	138	22	learning	learning	NOUN
easat-5899	138	23	and	and	CCONJ
easat-5899	138	24	feature	feature	NOUN
easat-5899	138	25	selection	selection	NOUN
easat-5899	138	26	framework	framework	NOUN
easat-5899	138	27	for	for	ADP
easat-5899	138	28	iot	iot	NOUN
easat-5899	138	29	networks	network	NOUN
easat-5899	138	30	,	,	PUNCT
easat-5899	138	31	"	"	PUNCT
easat-5899	138	32	iete	iete	ADJ
easat-5899	138	33	journal	journal	NOUN
easat-5899	138	34	of	of	ADP
easat-5899	138	35	research	research	NOUN
easat-5899	138	36	,	,	PUNCT
easat-5899	138	37	vol	vol	NOUN
easat-5899	138	38	.	.	PROPN
easat-5899	138	39	69	69	NUM
easat-5899	138	40	,	,	PUNCT
easat-5899	138	41	no	no	INTJ
easat-5899	138	42	.	.	NOUN
easat-5899	138	43	12	12	NUM
easat-5899	138	44	,	,	PUNCT
easat-5899	138	45	pp	pp	ADJ
easat-5899	138	46	.	.	PUNCT
easat-5899	138	47	8859	8859	NUM
easat-5899	138	48	-	-	SYM
easat-5899	138	49	8875	8875	NUM
easat-5899	138	50	,	,	PUNCT
easat-5899	138	51	2023	2023	NUM
easat-5899	138	52	.	.	PUNCT
easat-5899	138	53	https://doi.org/10.1080/03772063.2022.2098187	https://doi.org/10.1080/03772063.2022.2098187	PUNCT
easat-5899	139	1	[	[	X
easat-5899	139	2	7	7	NUM
easat-5899	139	3	]	]	PUNCT
easat-5899	139	4	a.	a.	NOUN
easat-5899	139	5	m.	m.	PROPN
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easat-5899	139	7	,	,	PUNCT
easat-5899	139	8	m.	m.	PROPN
easat-5899	139	9	nouri	nouri	PROPN
easat-5899	139	10	-	-	PROPN
easat-5899	139	11	baygi	baygi	PROPN
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easat-5899	139	13	and	and	CCONJ
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easat-5899	139	15	m.	m.	PROPN
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easat-5899	139	21	:	:	PUNCT
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easat-5899	139	23	intrusion	intrusion	NOUN
easat-5899	139	24	detection	detection	NOUN
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easat-5899	139	27	feature	feature	NOUN
easat-5899	139	28	selection	selection	NOUN
easat-5899	139	29	and	and	CCONJ
easat-5899	139	30	stack	stack	VERB
easat-5899	139	31	ensemble	ensemble	ADJ
easat-5899	139	32	learning	learning	NOUN
easat-5899	139	33	,	,	PUNCT
easat-5899	139	34	"	"	PUNCT
easat-5899	139	35	journal	journal	NOUN
easat-5899	139	36	of	of	ADP
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easat-5899	139	39	,	,	PUNCT
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easat-5899	139	41	.	.	PROPN
easat-5899	139	42	11	11	NUM
easat-5899	139	43	,	,	PUNCT
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easat-5899	139	46	1	1	NUM
easat-5899	139	47	,	,	PUNCT
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easat-5899	139	49	133	133	NUM
easat-5899	139	50	,	,	PUNCT
easat-5899	139	51	2024	2024	NUM
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easat-5899	141	2	8	8	X
easat-5899	141	3	]	]	X
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easat-5899	142	4	c.-g	c.-g	PROPN
easat-5899	142	5	.	.	PUNCT
easat-5899	143	1	hwang	hwang	PROPN
easat-5899	143	2	,	,	PUNCT
easat-5899	143	3	"	"	PUNCT
easat-5899	143	4	a	a	DET
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easat-5899	143	14	on	on	ADP
easat-5899	143	15	xgboost	xgboost	PROPN
easat-5899	143	16	,	,	PUNCT
easat-5899	143	17	"	"	PUNCT
easat-5899	143	18	international	international	ADJ
easat-5899	143	19	journal	journal	NOUN
easat-5899	143	20	of	of	ADP
easat-5899	143	21	advanced	advanced	ADJ
easat-5899	143	22	smart	smart	ADJ
easat-5899	143	23	convergence	convergence	NOUN
easat-5899	143	24	,	,	PUNCT
easat-5899	143	25	vol	vol	NOUN
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easat-5899	143	27	10	10	NUM
easat-5899	143	28	,	,	PUNCT
easat-5899	143	29	no	no	INTJ
easat-5899	143	30	.	.	NOUN
easat-5899	143	31	2	2	NUM
easat-5899	143	32	,	,	PUNCT
easat-5899	143	33	pp	pp	ADJ
easat-5899	143	34	.	.	PUNCT
easat-5899	144	1	73	73	NUM
easat-5899	144	2	-	-	SYM
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easat-5899	144	4	,	,	PUNCT
easat-5899	144	5	2021	2021	NUM
easat-5899	144	6	.	.	PUNCT
easat-5899	145	1	[	[	X
easat-5899	145	2	9	9	NUM
easat-5899	145	3	]	]	X
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easat-5899	145	27	-	-	PUNCT
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easat-5899	145	46	,	,	PUNCT
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easat-5899	145	48	.	.	PUNCT
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easat-5899	146	2	-	-	SYM
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easat-5899	146	4	,	,	PUNCT
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easat-5899	147	2	10	10	NUM
easat-5899	147	3	]	]	PUNCT
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easat-5899	147	40	pp	pp	ADJ
easat-5899	147	41	.	.	PUNCT
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easat-5899	147	43	-	-	SYM
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easat-5899	147	45	.	.	PUNCT
easat-5899	147	46	acm	acm	PROPN
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easat-5899	148	1	[	[	X
easat-5899	148	2	11	11	NUM
easat-5899	148	3	]	]	PUNCT
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easat-5899	148	5	.	.	PUNCT
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easat-5899	149	2	and	and	CCONJ
easat-5899	149	3	p.-j	p.-j	PROPN
easat-5899	149	4	.	.	PUNCT
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easat-5899	150	7	-	-	PUNCT
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easat-5899	150	10	optimization	optimization	NOUN
easat-5899	150	11	software	software	NOUN
easat-5899	150	12	trends	trend	NOUN
easat-5899	150	13	,	,	PUNCT
easat-5899	150	14	"	"	PUNCT
easat-5899	150	15	international	international	ADJ
easat-5899	150	16	journal	journal	NOUN
easat-5899	150	17	of	of	ADP
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easat-5899	150	21	,	,	PUNCT
easat-5899	150	22	vol	vol	NOUN
easat-5899	150	23	.	.	PROPN
easat-5899	151	1	7	7	NUM
easat-5899	151	2	,	,	PUNCT
easat-5899	151	3	no	no	INTJ
easat-5899	151	4	.	.	NOUN
easat-5899	151	5	4	4	NUM
easat-5899	151	6	,	,	PUNCT
easat-5899	151	7	pp	pp	ADJ
easat-5899	151	8	.	.	PUNCT
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easat-5899	152	2	-	-	SYM
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easat-5899	152	4	,	,	PUNCT
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easat-5899	152	6	.	.	PUNCT
easat-5899	153	1	[	[	X
easat-5899	153	2	12	12	NUM
easat-5899	153	3	]	]	PUNCT
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easat-5899	153	14	:	:	PUNCT
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easat-5899	153	16	hybrid	hybrid	ADJ
easat-5899	153	17	machine	machine	NOUN
easat-5899	153	18	and	and	CCONJ
easat-5899	153	19	deep	deep	ADJ
easat-5899	153	20	learning	learning	NOUN
easat-5899	153	21	approach	approach	NOUN
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easat-5899	153	23	"	"	PUNCT
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easat-5899	153	30	.	.	PROPN
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easat-5899	154	2	13	13	NUM
easat-5899	154	3	]	]	PUNCT
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easat-5899	154	7	t.	t.	PROPN
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easat-5899	154	9	,	,	PUNCT
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easat-5899	154	17	analysis	analysis	NOUN
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easat-5899	154	34	2024	2024	NUM
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easat-5899	154	36	conference	conference	NOUN
easat-5899	154	37	on	on	ADP
easat-5899	154	38	e	e	NOUN
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easat-5899	155	2	-	-	SYM
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easat-5899	155	7	2024	2024	NUM
easat-5899	155	8	.	.	PUNCT
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easat-5899	156	2	14	14	NUM
easat-5899	156	3	]	]	PUNCT
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easat-5899	156	5	a.	a.	PROPN
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easat-5899	156	7	and	and	CCONJ
easat-5899	156	8	y.	y.	PROPN
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easat-5899	156	14	-	-	PUNCT
easat-5899	156	15	based	base	VERB
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easat-5899	156	18	intrusion	intrusion	NOUN
easat-5899	156	19	detection	detection	NOUN
easat-5899	156	20	system	system	NOUN
easat-5899	156	21	,	,	PUNCT
easat-5899	156	22	"	"	PUNCT
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easat-5899	156	28	,	,	PUNCT
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easat-5899	156	34	.	.	NOUN
easat-5899	156	35	1	1	NUM
easat-5899	156	36	,	,	PUNCT
easat-5899	156	37	pp	pp	ADJ
easat-5899	156	38	.	.	PUNCT
easat-5899	157	1	671	671	NUM
easat-5899	157	2	-	-	PUNCT
easat-5899	157	3	687	687	NUM
easat-5899	157	4	,	,	PUNCT
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easat-5899	157	6	.	.	PUNCT
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