id	sid	tid	token	lemma	pos
cana-4627	1	1	ijcse	ijcse	NOUN
cana-4627	1	2	template	template	NOUN
cana-4627	1	3	communications	communication	NOUN
cana-4627	1	4	on	on	ADP
cana-4627	1	5	applied	apply	VERB
cana-4627	1	6	nonlinear	nonlinear	ADJ
cana-4627	1	7	analysis	analysis	NOUN
cana-4627	1	8	issn	issn	NOUN
cana-4627	1	9	:	:	PUNCT
cana-4627	1	10	1074	1074	NUM
cana-4627	1	11	-	-	PUNCT
cana-4627	1	12	133x	133x	NUM
cana-4627	1	13	vol	vol	NOUN
cana-4627	1	14	32	32	NUM
cana-4627	1	15	no	no	NOUN
cana-4627	1	16	.	.	NOUN
cana-4627	1	17	3	3	NUM
cana-4627	1	18	(	(	PUNCT
cana-4627	1	19	2025	2025	NUM
cana-4627	1	20	)	)	PUNCT
cana-4627	1	21	865	865	NUM
cana-4627	1	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	1	23	an	an	DET
cana-4627	1	24	advanced	advanced	ADJ
cana-4627	1	25	ensemble	ensemble	ADJ
cana-4627	1	26	framework	framework	NOUN
cana-4627	1	27	employing	employ	VERB
cana-4627	1	28	grey	grey	ADJ
cana-4627	1	29	wolf	wolf	PROPN
cana-4627	1	30	optimization	optimization	NOUN
cana-4627	1	31	and	and	CCONJ
cana-4627	1	32	feature	feature	NOUN
cana-4627	1	33	selection	selection	NOUN
cana-4627	1	34	techniques	technique	NOUN
cana-4627	1	35	for	for	ADP
cana-4627	1	36	enhanced	enhanced	ADJ
cana-4627	1	37	intrusion	intrusion	NOUN
cana-4627	1	38	detection	detection	NOUN
cana-4627	1	39	on	on	ADP
cana-4627	1	40	unbalanced	unbalanced	ADJ
cana-4627	1	41	nsl	nsl	PROPN
cana-4627	1	42	-	-	PUNCT
cana-4627	1	43	kdd	kdd	PROPN
cana-4627	1	44	data	datum	NOUN
cana-4627	1	45	1svsv	1svsv	NUM
cana-4627	1	46	prasad	prasad	PROPN
cana-4627	1	47	sanaboina	sanaboina	NOUN
cana-4627	1	48	,	,	PUNCT
cana-4627	1	49	2dr	2dr	NOUN
cana-4627	1	50	.	.	PUNCT
cana-4627	2	1	m	m	PROPN
cana-4627	2	2	chandra	chandra	PROPN
cana-4627	2	3	naik	naik	PROPN
cana-4627	2	4	,	,	PUNCT
cana-4627	2	5	3dr.k	3dr.k	NUM
cana-4627	2	6	rajiv	rajiv	PROPN
cana-4627	2	7	1research	1research	NUM
cana-4627	2	8	scholar	scholar	NOUN
cana-4627	2	9	,	,	PUNCT
cana-4627	2	10	department	department	NOUN
cana-4627	2	11	of	of	ADP
cana-4627	2	12	cse	cse	PROPN
cana-4627	2	13	,	,	PUNCT
cana-4627	2	14	prasadsanaboina@gmail.com	prasadsanaboina@gmail.com	PROPN
cana-4627	2	15	,	,	PUNCT
cana-4627	2	16	gandhi	gandhi	PROPN
cana-4627	2	17	institute	institute	PROPN
cana-4627	2	18	of	of	ADP
cana-4627	2	19	engineering	engineering	PROPN
cana-4627	2	20	and	and	CCONJ
cana-4627	2	21	technology	technology	NOUN
cana-4627	2	22	university	university	NOUN
cana-4627	2	23	,	,	PUNCT
cana-4627	2	24	gunupur	gunupur	NOUN
cana-4627	2	25	,	,	PUNCT
cana-4627	2	26	odisha	odisha	PROPN
cana-4627	2	27	,	,	PUNCT
cana-4627	2	28	india	india	PROPN
cana-4627	2	29	2professor	2professor	PROPN
cana-4627	2	30	,	,	PUNCT
cana-4627	2	31	department	department	NOUN
cana-4627	2	32	of	of	ADP
cana-4627	2	33	cse	cse	PROPN
cana-4627	2	34	,	,	PUNCT
cana-4627	2	35	gandhi	gandhi	PROPN
cana-4627	2	36	institute	institute	PROPN
cana-4627	2	37	of	of	ADP
cana-4627	2	38	engineering	engineering	PROPN
cana-4627	2	39	and	and	CCONJ
cana-4627	2	40	technology	technology	NOUN
cana-4627	2	41	university	university	NOUN
cana-4627	2	42	,	,	PUNCT
cana-4627	2	43	gunupur	gunupur	NOUN
cana-4627	2	44	,	,	PUNCT
cana-4627	2	45	odisha	odisha	PROPN
cana-4627	2	46	,	,	PUNCT
cana-4627	2	47	india	india	PROPN
cana-4627	2	48	3associate	3associate	NUM
cana-4627	2	49	professor	professor	NOUN
cana-4627	2	50	,	,	PUNCT
cana-4627	2	51	department	department	PROPN
cana-4627	2	52	of	of	ADP
cana-4627	2	53	cse	cse	PROPN
cana-4627	2	54	,	,	PUNCT
cana-4627	2	55	gokaraju	gokaraju	VERB
cana-4627	2	56	rangaraju	rangaraju	PROPN
cana-4627	2	57	institute	institute	PROPN
cana-4627	2	58	of	of	ADP
cana-4627	2	59	engineering	engineering	PROPN
cana-4627	2	60	&	&	CCONJ
cana-4627	2	61	technology	technology	PROPN
cana-4627	2	62	,	,	PUNCT
cana-4627	2	63	hyderabad	hyderabad	PROPN
cana-4627	2	64	,	,	PUNCT
cana-4627	2	65	india	india	PROPN
cana-4627	2	66	article	article	PROPN
cana-4627	2	67	history	history	NOUN
cana-4627	2	68	:	:	PUNCT
cana-4627	2	69	received	receive	VERB
cana-4627	2	70	:	:	PUNCT
cana-4627	2	71	12	12	NUM
cana-4627	2	72	-	-	SYM
cana-4627	2	73	01	01	NUM
cana-4627	2	74	-	-	PUNCT
cana-4627	2	75	2025	2025	NUM
cana-4627	2	76	revised	revise	VERB
cana-4627	2	77	:	:	PUNCT
cana-4627	2	78	15	15	NUM
cana-4627	2	79	-	-	NUM
cana-4627	2	80	02	02	NUM
cana-4627	2	81	-	-	PUNCT
cana-4627	2	82	2025	2025	NUM
cana-4627	2	83	accepted	accept	VERB
cana-4627	2	84	:	:	PUNCT
cana-4627	2	85	01	01	NUM
cana-4627	2	86	-	-	SYM
cana-4627	2	87	03	03	NUM
cana-4627	2	88	-	-	PUNCT
cana-4627	2	89	2025	2025	NUM
cana-4627	2	90	abstract	abstract	NOUN
cana-4627	2	91	:	:	PUNCT
cana-4627	2	92	intrusion	intrusion	NOUN
cana-4627	2	93	detection	detection	NOUN
cana-4627	2	94	systems	system	NOUN
cana-4627	2	95	(	(	PUNCT
cana-4627	2	96	idss	idss	ADV
cana-4627	2	97	)	)	PUNCT
cana-4627	2	98	usually	usually	ADV
cana-4627	2	99	face	face	VERB
cana-4627	2	100	severe	severe	ADJ
cana-4627	2	101	issues	issue	NOUN
cana-4627	2	102	with	with	ADP
cana-4627	2	103	imbalanced	imbalanced	ADJ
cana-4627	2	104	datasets	dataset	NOUN
cana-4627	2	105	and	and	CCONJ
cana-4627	2	106	the	the	DET
cana-4627	2	107	limited	limited	ADJ
cana-4627	2	108	ability	ability	NOUN
cana-4627	2	109	of	of	ADP
cana-4627	2	110	a	a	DET
cana-4627	2	111	single	single	ADJ
cana-4627	2	112	classifier	classifier	NOUN
cana-4627	2	113	to	to	PART
cana-4627	2	114	generalize	generalize	VERB
cana-4627	2	115	well	well	ADV
cana-4627	2	116	.	.	PUNCT
cana-4627	3	1	this	this	DET
cana-4627	3	2	research	research	NOUN
cana-4627	3	3	proposes	propose	VERB
cana-4627	3	4	a	a	DET
cana-4627	3	5	sophisticated	sophisticated	ADJ
cana-4627	3	6	ensemble	ensemble	ADJ
cana-4627	3	7	method	method	NOUN
cana-4627	3	8	combining	combine	VERB
cana-4627	3	9	cutting	cutting	NOUN
cana-4627	3	10	-	-	PUNCT
cana-4627	3	11	edge	edge	NOUN
cana-4627	3	12	ensemble	ensemble	ADJ
cana-4627	3	13	learning	learning	NOUN
cana-4627	3	14	techniques	technique	NOUN
cana-4627	3	15	with	with	ADP
cana-4627	3	16	grey	grey	ADJ
cana-4627	3	17	wolf	wolf	PROPN
cana-4627	3	18	optimization	optimization	NOUN
cana-4627	3	19	(	(	PUNCT
cana-4627	3	20	gwo	gwo	PROPN
cana-4627	3	21	)	)	PUNCT
cana-4627	3	22	,	,	PUNCT
cana-4627	3	23	a	a	DET
cana-4627	3	24	recent	recent	ADJ
cana-4627	3	25	metaheuristic	metaheuristic	ADJ
cana-4627	3	26	optimization	optimization	NOUN
cana-4627	3	27	algorithm	algorithm	NOUN
cana-4627	3	28	,	,	PUNCT
cana-4627	3	29	and	and	CCONJ
cana-4627	3	30	appropriate	appropriate	ADJ
cana-4627	3	31	feature	feature	NOUN
cana-4627	3	32	selection	selection	NOUN
cana-4627	3	33	methods	method	NOUN
cana-4627	3	34	to	to	PART
cana-4627	3	35	significantly	significantly	ADV
cana-4627	3	36	improve	improve	VERB
cana-4627	3	37	the	the	DET
cana-4627	3	38	accuracy	accuracy	NOUN
cana-4627	3	39	of	of	ADP
cana-4627	3	40	ids	id	NOUN
cana-4627	3	41	.	.	PUNCT
cana-4627	4	1	the	the	DET
cana-4627	4	2	framework	framework	NOUN
cana-4627	4	3	is	be	AUX
cana-4627	4	4	validated	validate	VERB
cana-4627	4	5	via	via	ADP
cana-4627	4	6	the	the	DET
cana-4627	4	7	nsl	nsl	NOUN
cana-4627	4	8	-	-	PUNCT
cana-4627	4	9	kdd	kdd	PROPN
cana-4627	4	10	dataset	dataset	NOUN
cana-4627	4	11	,	,	PUNCT
cana-4627	4	12	proving	prove	VERB
cana-4627	4	13	that	that	SCONJ
cana-4627	4	14	the	the	DET
cana-4627	4	15	stacking	stacking	NOUN
cana-4627	4	16	and	and	CCONJ
cana-4627	4	17	voting	vote	VERB
cana-4627	4	18	ensemble	ensemble	ADJ
cana-4627	4	19	methods	method	NOUN
cana-4627	4	20	proposed	propose	VERB
cana-4627	4	21	outperform	outperform	NOUN
cana-4627	4	22	stand	stand	VERB
cana-4627	4	23	-	-	PUNCT
cana-4627	4	24	alone	alone	ADJ
cana-4627	4	25	classifiers	classifier	NOUN
cana-4627	4	26	by	by	ADP
cana-4627	4	27	a	a	DET
cana-4627	4	28	great	great	ADJ
cana-4627	4	29	margin	margin	NOUN
cana-4627	4	30	.	.	PUNCT
cana-4627	5	1	the	the	DET
cana-4627	5	2	stacking	stacking	NOUN
cana-4627	5	3	model	model	NOUN
cana-4627	5	4	optimized	optimize	VERB
cana-4627	5	5	with	with	ADP
cana-4627	5	6	decision	decision	NOUN
cana-4627	5	7	trees	tree	NOUN
cana-4627	5	8	and	and	CCONJ
cana-4627	5	9	k	k	NOUN
cana-4627	5	10	-	-	PUNCT
cana-4627	5	11	nearest	near	ADJ
cana-4627	5	12	neighbors	neighbor	NOUN
cana-4627	5	13	classifiers	classifier	NOUN
cana-4627	5	14	as	as	ADP
cana-4627	5	15	constituent	constituent	NOUN
cana-4627	5	16	models	model	NOUN
cana-4627	5	17	attains	attain	VERB
cana-4627	5	18	a	a	DET
cana-4627	5	19	superb	superb	ADJ
cana-4627	5	20	f1	f1	NOUN
cana-4627	5	21	-	-	PUNCT
cana-4627	5	22	score	score	NOUN
cana-4627	5	23	of	of	ADP
cana-4627	5	24	98.9	98.9	NUM
cana-4627	5	25	%	%	NOUN
cana-4627	5	26	.	.	PUNCT
cana-4627	6	1	ensemble	ensemble	ADJ
cana-4627	6	2	methods	method	NOUN
cana-4627	6	3	optimized	optimize	VERB
cana-4627	6	4	via	via	ADP
cana-4627	6	5	gwo	gwo	PROPN
cana-4627	6	6	are	be	AUX
cana-4627	6	7	highlighted	highlight	VERB
cana-4627	6	8	in	in	ADP
cana-4627	6	9	this	this	DET
cana-4627	6	10	work	work	NOUN
cana-4627	6	11	as	as	ADP
cana-4627	6	12	effective	effective	ADJ
cana-4627	6	13	,	,	PUNCT
cana-4627	6	14	providing	provide	VERB
cana-4627	6	15	new	new	ADJ
cana-4627	6	16	insights	insight	NOUN
cana-4627	6	17	and	and	CCONJ
cana-4627	6	18	significant	significant	ADJ
cana-4627	6	19	improvements	improvement	NOUN
cana-4627	6	20	for	for	ADP
cana-4627	6	21	real	real	ADJ
cana-4627	6	22	-	-	PUNCT
cana-4627	6	23	world	world	NOUN
cana-4627	6	24	utilization	utilization	NOUN
cana-4627	6	25	in	in	ADP
cana-4627	6	26	intrusion	intrusion	NOUN
cana-4627	6	27	detection	detection	NOUN
cana-4627	6	28	systems	system	NOUN
cana-4627	6	29	.	.	PUNCT
cana-4627	7	1	keywords	keyword	NOUN
cana-4627	7	2	:	:	PUNCT
cana-4627	7	3	intrusion	intrusion	NOUN
cana-4627	7	4	detection	detection	NOUN
cana-4627	7	5	,	,	PUNCT
cana-4627	7	6	ensemble	ensemble	ADJ
cana-4627	7	7	learning	learning	NOUN
cana-4627	7	8	,	,	PUNCT
cana-4627	7	9	stacking	stacking	NOUN
cana-4627	7	10	,	,	PUNCT
cana-4627	7	11	majority	majority	NOUN
cana-4627	7	12	voting	voting	NOUN
cana-4627	7	13	,	,	PUNCT
cana-4627	7	14	grey	grey	ADJ
cana-4627	7	15	wolf	wolf	PROPN
cana-4627	7	16	optimization	optimization	NOUN
cana-4627	7	17	,	,	PUNCT
cana-4627	7	18	feature	feature	NOUN
cana-4627	7	19	selection	selection	NOUN
cana-4627	7	20	,	,	PUNCT
cana-4627	7	21	nsl	nsl	NOUN
cana-4627	7	22	-	-	PUNCT
cana-4627	7	23	kdd	kdd	PROPN
cana-4627	7	24	dataset	dataset	NOUN
cana-4627	7	25	1	1	NUM
cana-4627	7	26	.	.	PUNCT
cana-4627	7	27	introduction	introduction	NOUN
cana-4627	7	28	the	the	DET
cana-4627	7	29	accelerated	accelerated	ADJ
cana-4627	7	30	development	development	NOUN
cana-4627	7	31	of	of	ADP
cana-4627	7	32	cyber	cyber	PROPN
cana-4627	7	33	threats	threat	NOUN
cana-4627	7	34	is	be	AUX
cana-4627	7	35	an	an	DET
cana-4627	7	36	increasingly	increasingly	ADV
cana-4627	7	37	demanding	demanding	ADJ
cana-4627	7	38	challenge	challenge	NOUN
cana-4627	7	39	to	to	ADP
cana-4627	7	40	cybersecurity	cybersecurity	NOUN
cana-4627	7	41	systems	system	NOUN
cana-4627	7	42	globally	globally	ADV
cana-4627	7	43	,	,	PUNCT
cana-4627	7	44	necessitating	necessitate	VERB
cana-4627	7	45	superior	superior	ADJ
cana-4627	7	46	and	and	CCONJ
cana-4627	7	47	highly	highly	ADV
cana-4627	7	48	effective	effective	ADJ
cana-4627	7	49	intrusion	intrusion	NOUN
cana-4627	7	50	detection	detection	NOUN
cana-4627	7	51	systems	system	NOUN
cana-4627	7	52	(	(	PUNCT
cana-4627	7	53	idss	idss	ADV
cana-4627	7	54	)	)	PUNCT
cana-4627	7	55	.	.	PUNCT
cana-4627	8	1	contemporary	contemporary	PROPN
cana-4627	8	2	cyber	cyber	NOUN
cana-4627	8	3	-	-	PUNCT
cana-4627	8	4	attacks	attack	NOUN
cana-4627	8	5	are	be	AUX
cana-4627	8	6	complex	complex	ADJ
cana-4627	8	7	,	,	PUNCT
cana-4627	8	8	diverse	diverse	ADJ
cana-4627	8	9	,	,	PUNCT
cana-4627	8	10	and	and	CCONJ
cana-4627	8	11	more	more	ADV
cana-4627	8	12	frequent	frequent	ADJ
cana-4627	8	13	,	,	PUNCT
cana-4627	8	14	exposing	expose	VERB
cana-4627	8	15	weaknesses	weakness	NOUN
cana-4627	8	16	in	in	ADP
cana-4627	8	17	conventional	conventional	ADJ
cana-4627	8	18	detection	detection	NOUN
cana-4627	8	19	strategies	strategy	NOUN
cana-4627	8	20	.	.	PUNCT
cana-4627	9	1	traditional	traditional	ADJ
cana-4627	9	2	ids	id	NOUN
cana-4627	9	3	methods	method	NOUN
cana-4627	9	4	typically	typically	ADV
cana-4627	9	5	use	use	VERB
cana-4627	9	6	singleclassifier	singleclassifier	NOUN
cana-4627	9	7	techniques	technique	NOUN
cana-4627	9	8	,	,	PUNCT
cana-4627	9	9	which	which	PRON
cana-4627	9	10	tend	tend	VERB
cana-4627	9	11	to	to	PART
cana-4627	9	12	be	be	AUX
cana-4627	9	13	inflexible	inflexible	ADJ
cana-4627	9	14	when	when	SCONJ
cana-4627	9	15	responding	respond	VERB
cana-4627	9	16	to	to	ADP
cana-4627	9	17	shifting	shift	VERB
cana-4627	9	18	threat	threat	NOUN
cana-4627	9	19	patterns	pattern	NOUN
cana-4627	9	20	.	.	PUNCT
cana-4627	10	1	furthermore	furthermore	ADV
cana-4627	10	2	,	,	PUNCT
cana-4627	10	3	such	such	ADJ
cana-4627	10	4	conventional	conventional	ADJ
cana-4627	10	5	systems	system	NOUN
cana-4627	10	6	often	often	ADV
cana-4627	10	7	struggle	struggle	VERB
cana-4627	10	8	with	with	ADP
cana-4627	10	9	dataset	dataset	ADJ
cana-4627	10	10	imbalances	imbalance	NOUN
cana-4627	10	11	,	,	PUNCT
cana-4627	10	12	in	in	ADP
cana-4627	10	13	which	which	PRON
cana-4627	10	14	the	the	DET
cana-4627	10	15	ratio	ratio	NOUN
cana-4627	10	16	of	of	ADP
cana-4627	10	17	normal	normal	ADJ
cana-4627	10	18	traffic	traffic	NOUN
cana-4627	10	19	far	far	ADV
cana-4627	10	20	exceeds	exceed	VERB
cana-4627	10	21	malicious	malicious	ADJ
cana-4627	10	22	traffic	traffic	NOUN
cana-4627	10	23	.	.	PUNCT
cana-4627	11	1	the	the	DET
cana-4627	11	2	imbalance	imbalance	NOUN
cana-4627	11	3	adversely	adversely	ADV
cana-4627	11	4	affects	affect	VERB
cana-4627	11	5	the	the	DET
cana-4627	11	6	performance	performance	NOUN
cana-4627	11	7	of	of	ADP
cana-4627	11	8	the	the	DET
cana-4627	11	9	classifier	classifier	NOUN
cana-4627	11	10	,	,	PUNCT
cana-4627	11	11	leading	lead	VERB
cana-4627	11	12	to	to	ADP
cana-4627	11	13	an	an	DET
cana-4627	11	14	excessive	excessive	ADJ
cana-4627	11	15	rate	rate	NOUN
cana-4627	11	16	of	of	ADP
cana-4627	11	17	misclassification	misclassification	NOUN
cana-4627	11	18	and	and	CCONJ
cana-4627	11	19	thus	thus	ADV
cana-4627	11	20	compromising	compromise	VERB
cana-4627	11	21	overall	overall	ADJ
cana-4627	11	22	detection	detection	NOUN
cana-4627	11	23	accuracy	accuracy	NOUN
cana-4627	11	24	.	.	PUNCT
cana-4627	12	1	hence	hence	ADV
cana-4627	12	2	,	,	PUNCT
cana-4627	12	3	there	there	PRON
cana-4627	12	4	is	be	VERB
cana-4627	12	5	a	a	DET
cana-4627	12	6	strong	strong	ADJ
cana-4627	12	7	need	need	NOUN
cana-4627	12	8	to	to	PART
cana-4627	12	9	evolve	evolve	VERB
cana-4627	12	10	more	more	ADV
cana-4627	12	11	adaptive	adaptive	ADJ
cana-4627	12	12	and	and	CCONJ
cana-4627	12	13	advanced	advanced	ADJ
cana-4627	12	14	ids	id	NOUN
cana-4627	12	15	techniques	technique	NOUN
cana-4627	12	16	that	that	PRON
cana-4627	12	17	can	can	AUX
cana-4627	12	18	handle	handle	VERB
cana-4627	12	19	data	datum	NOUN
cana-4627	12	20	imbalance	imbalance	NOUN
cana-4627	12	21	efficiently	efficiently	ADV
cana-4627	12	22	while	while	SCONJ
cana-4627	12	23	improving	improve	VERB
cana-4627	12	24	generalization	generalization	NOUN
cana-4627	12	25	ability	ability	NOUN
cana-4627	12	26	to	to	PART
cana-4627	12	27	support	support	VERB
cana-4627	12	28	varied	varied	ADJ
cana-4627	12	29	attack	attack	NOUN
cana-4627	12	30	scenarios	scenario	NOUN
cana-4627	12	31	.	.	PUNCT
cana-4627	13	1	to	to	PART
cana-4627	13	2	properly	properly	ADV
cana-4627	13	3	break	break	VERB
cana-4627	13	4	the	the	DET
cana-4627	13	5	confines	confine	NOUN
cana-4627	13	6	posed	pose	VERB
cana-4627	13	7	by	by	ADP
cana-4627	13	8	conventional	conventional	ADJ
cana-4627	13	9	idss	idss	NOUN
cana-4627	13	10	,	,	PUNCT
cana-4627	13	11	in	in	ADP
cana-4627	13	12	this	this	DET
cana-4627	13	13	work	work	NOUN
cana-4627	13	14	a	a	DET
cana-4627	13	15	complex	complex	ADJ
cana-4627	13	16	ensemble	ensemble	ADJ
cana-4627	13	17	-	-	PUNCT
cana-4627	13	18	based	base	VERB
cana-4627	13	19	detection	detection	NOUN
cana-4627	13	20	model	model	NOUN
cana-4627	13	21	is	be	AUX
cana-4627	13	22	proposed	propose	VERB
cana-4627	13	23	.	.	PUNCT
cana-4627	14	1	ensemble	ensemble	ADJ
cana-4627	14	2	learning	learning	NOUN
cana-4627	14	3	strategies	strategy	NOUN
cana-4627	14	4	are	be	AUX
cana-4627	14	5	utilized	utilize	VERB
cana-4627	14	6	as	as	ADP
cana-4627	14	7	a	a	DET
cana-4627	14	8	result	result	NOUN
cana-4627	14	9	of	of	ADP
cana-4627	14	10	their	their	PRON
cana-4627	14	11	established	establish	VERB
cana-4627	14	12	effectiveness	effectiveness	NOUN
cana-4627	14	13	for	for	ADP
cana-4627	14	14	improving	improve	VERB
cana-4627	14	15	prediction	prediction	NOUN
cana-4627	14	16	performance	performance	NOUN
cana-4627	14	17	and	and	CCONJ
cana-4627	14	18	dependability	dependability	NOUN
cana-4627	14	19	over	over	ADP
cana-4627	14	20	that	that	PRON
cana-4627	14	21	of	of	ADP
cana-4627	14	22	single	single	ADJ
cana-4627	14	23	classifiers	classifier	NOUN
cana-4627	14	24	.	.	PUNCT
cana-4627	15	1	ensemble	ensemble	ADJ
cana-4627	15	2	methods	method	NOUN
cana-4627	15	3	help	help	VERB
cana-4627	15	4	reduce	reduce	VERB
cana-4627	15	5	bias	bias	NOUN
cana-4627	15	6	and	and	CCONJ
cana-4627	15	7	variance	variance	NOUN
cana-4627	15	8	that	that	PRON
cana-4627	15	9	arise	arise	VERB
cana-4627	15	10	with	with	ADP
cana-4627	15	11	individual	individual	ADJ
cana-4627	15	12	classifier	classifier	NOUN
cana-4627	15	13	methods	method	NOUN
cana-4627	15	14	by	by	ADP
cana-4627	15	15	summing	sum	VERB
cana-4627	15	16	the	the	DET
cana-4627	15	17	multiple	multiple	ADJ
cana-4627	15	18	classifiers	classifier	NOUN
cana-4627	15	19	'	'	PART
cana-4627	15	20	individual	individual	ADJ
cana-4627	15	21	predictions	prediction	NOUN
cana-4627	15	22	.	.	PUNCT
cana-4627	16	1	the	the	DET
cana-4627	16	2	ensemble	ensemble	ADJ
cana-4627	16	3	learning	learning	NOUN
cana-4627	16	4	communications	communication	NOUN
cana-4627	16	5	on	on	ADP
cana-4627	16	6	applied	apply	VERB
cana-4627	16	7	nonlinear	nonlinear	ADJ
cana-4627	16	8	analysis	analysis	NOUN
cana-4627	16	9	issn	issn	NOUN
cana-4627	16	10	:	:	PUNCT
cana-4627	16	11	1074	1074	NUM
cana-4627	16	12	-	-	PUNCT
cana-4627	16	13	133x	133x	NUM
cana-4627	16	14	vol	vol	NOUN
cana-4627	16	15	32	32	NUM
cana-4627	16	16	no	no	NOUN
cana-4627	16	17	.	.	NOUN
cana-4627	16	18	3	3	NUM
cana-4627	16	19	(	(	PUNCT
cana-4627	16	20	2025	2025	NUM
cana-4627	16	21	)	)	PUNCT
cana-4627	16	22	866	866	NUM
cana-4627	16	23	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	16	24	integration	integration	NOUN
cana-4627	16	25	overcomes	overcome	VERB
cana-4627	16	26	the	the	DET
cana-4627	16	27	limitations	limitation	NOUN
cana-4627	16	28	related	relate	VERB
cana-4627	16	29	to	to	ADP
cana-4627	16	30	data	datum	NOUN
cana-4627	16	31	imbalance	imbalance	NOUN
cana-4627	16	32	by	by	ADP
cana-4627	16	33	enhancing	enhance	VERB
cana-4627	16	34	classifier	classifier	NOUN
cana-4627	16	35	resilience	resilience	NOUN
cana-4627	16	36	and	and	CCONJ
cana-4627	16	37	allowing	allow	VERB
cana-4627	16	38	for	for	ADP
cana-4627	16	39	a	a	DET
cana-4627	16	40	more	more	ADV
cana-4627	16	41	sophisticated	sophisticated	ADJ
cana-4627	16	42	differentiation	differentiation	NOUN
cana-4627	16	43	between	between	ADP
cana-4627	16	44	benign	benign	ADJ
cana-4627	16	45	and	and	CCONJ
cana-4627	16	46	malicious	malicious	ADJ
cana-4627	16	47	network	network	NOUN
cana-4627	16	48	behavior	behavior	NOUN
cana-4627	16	49	.	.	PUNCT
cana-4627	17	1	additionally	additionally	ADV
cana-4627	17	2	,	,	PUNCT
cana-4627	17	3	ensemble	ensemble	ADJ
cana-4627	17	4	models	model	NOUN
cana-4627	17	5	naturally	naturally	ADV
cana-4627	17	6	encourage	encourage	VERB
cana-4627	17	7	enhanced	enhanced	ADJ
cana-4627	17	8	generalization	generalization	NOUN
cana-4627	17	9	,	,	PUNCT
cana-4627	17	10	thereby	thereby	ADV
cana-4627	17	11	offering	offer	VERB
cana-4627	17	12	improved	improve	VERB
cana-4627	17	13	predictive	predictive	ADJ
cana-4627	17	14	strength	strength	NOUN
cana-4627	17	15	in	in	ADP
cana-4627	17	16	dealing	deal	VERB
cana-4627	17	17	with	with	ADP
cana-4627	17	18	changing	change	VERB
cana-4627	17	19	cyber	cyber	NOUN
cana-4627	17	20	threats	threat	NOUN
cana-4627	17	21	and	and	CCONJ
cana-4627	17	22	dynamic	dynamic	ADJ
cana-4627	17	23	network	network	NOUN
cana-4627	17	24	scenarios	scenario	NOUN
cana-4627	17	25	.	.	PUNCT
cana-4627	18	1	therefore	therefore	ADV
cana-4627	18	2	,	,	PUNCT
cana-4627	18	3	the	the	DET
cana-4627	18	4	use	use	NOUN
cana-4627	18	5	of	of	ADP
cana-4627	18	6	ensemble	ensemble	ADJ
cana-4627	18	7	methods	method	NOUN
cana-4627	18	8	in	in	ADP
cana-4627	18	9	ids	id	NOUN
cana-4627	18	10	systems	system	NOUN
cana-4627	18	11	substantially	substantially	ADV
cana-4627	18	12	improves	improve	VERB
cana-4627	18	13	detection	detection	NOUN
cana-4627	18	14	rates	rate	NOUN
cana-4627	18	15	,	,	PUNCT
cana-4627	18	16	minimizes	minimize	VERB
cana-4627	18	17	false	false	ADJ
cana-4627	18	18	positives	positive	NOUN
cana-4627	18	19	,	,	PUNCT
cana-4627	18	20	and	and	CCONJ
cana-4627	18	21	maximizes	maximize	VERB
cana-4627	18	22	overall	overall	ADJ
cana-4627	18	23	cybersecurity	cybersecurity	NOUN
cana-4627	18	24	responsiveness	responsiveness	NOUN
cana-4627	18	25	.	.	PUNCT
cana-4627	19	1	integrating	integrate	VERB
cana-4627	19	2	yet	yet	ADV
cana-4627	19	3	more	more	ADJ
cana-4627	19	4	innovation	innovation	NOUN
cana-4627	19	5	within	within	ADP
cana-4627	19	6	this	this	DET
cana-4627	19	7	setup	setup	NOUN
cana-4627	19	8	,	,	PUNCT
cana-4627	19	9	grey	grey	ADJ
cana-4627	19	10	wolf	wolf	PROPN
cana-4627	19	11	optimization	optimization	NOUN
cana-4627	19	12	(	(	PUNCT
cana-4627	19	13	gwo	gwo	PROPN
cana-4627	19	14	)	)	PUNCT
cana-4627	19	15	,	,	PUNCT
cana-4627	19	16	a	a	DET
cana-4627	19	17	nextgeneration	nextgeneration	NOUN
cana-4627	19	18	metaheuristic	metaheuristic	ADJ
cana-4627	19	19	optimization	optimization	NOUN
cana-4627	19	20	algorithm	algorithm	NOUN
cana-4627	19	21	,	,	PUNCT
cana-4627	19	22	is	be	AUX
cana-4627	19	23	included	include	VERB
cana-4627	19	24	to	to	PART
cana-4627	19	25	effectively	effectively	ADV
cana-4627	19	26	optimize	optimize	VERB
cana-4627	19	27	ensemble	ensemble	ADJ
cana-4627	19	28	classifier	classifier	NOUN
cana-4627	19	29	weights	weight	NOUN
cana-4627	19	30	.	.	PUNCT
cana-4627	20	1	gwo	gwo	PROPN
cana-4627	20	2	draws	draw	VERB
cana-4627	20	3	its	its	PRON
cana-4627	20	4	ideas	idea	NOUN
cana-4627	20	5	from	from	ADP
cana-4627	20	6	the	the	DET
cana-4627	20	7	hierarchical	hierarchical	ADJ
cana-4627	20	8	and	and	CCONJ
cana-4627	20	9	social	social	ADJ
cana-4627	20	10	hunting	hunting	NOUN
cana-4627	20	11	nature	nature	NOUN
cana-4627	20	12	of	of	ADP
cana-4627	20	13	grey	grey	ADJ
cana-4627	20	14	wolves	wolf	NOUN
cana-4627	20	15	and	and	CCONJ
cana-4627	20	16	incorporates	incorporate	VERB
cana-4627	20	17	their	their	PRON
cana-4627	20	18	instinctual	instinctual	ADJ
cana-4627	20	19	hunting	hunt	VERB
cana-4627	20	20	behavior	behavior	NOUN
cana-4627	20	21	as	as	ADP
cana-4627	20	22	a	a	DET
cana-4627	20	23	strategy	strategy	NOUN
cana-4627	20	24	in	in	ADP
cana-4627	20	25	optimizing	optimize	VERB
cana-4627	20	26	solution	solution	NOUN
cana-4627	20	27	searching	search	VERB
cana-4627	20	28	in	in	ADP
cana-4627	20	29	sophisticated	sophisticated	ADJ
cana-4627	20	30	problem	problem	NOUN
cana-4627	20	31	optimizations	optimization	NOUN
cana-4627	20	32	.	.	PUNCT
cana-4627	21	1	by	by	ADP
cana-4627	21	2	using	use	VERB
cana-4627	21	3	gwo	gwo	NOUN
cana-4627	21	4	in	in	ADP
cana-4627	21	5	the	the	DET
cana-4627	21	6	ensemble	ensemble	ADJ
cana-4627	21	7	framework	framework	NOUN
cana-4627	21	8	,	,	PUNCT
cana-4627	21	9	the	the	DET
cana-4627	21	10	model	model	NOUN
cana-4627	21	11	in	in	ADP
cana-4627	21	12	question	question	NOUN
cana-4627	21	13	dynamically	dynamically	ADV
cana-4627	21	14	adapts	adapt	VERB
cana-4627	21	15	the	the	DET
cana-4627	21	16	relative	relative	ADJ
cana-4627	21	17	importance	importance	NOUN
cana-4627	21	18	of	of	ADP
cana-4627	21	19	each	each	DET
cana-4627	21	20	classifier	classifier	NOUN
cana-4627	21	21	according	accord	VERB
cana-4627	21	22	to	to	ADP
cana-4627	21	23	performance	performance	NOUN
cana-4627	21	24	,	,	PUNCT
cana-4627	21	25	thus	thus	ADV
cana-4627	21	26	optimizing	optimize	VERB
cana-4627	21	27	predictive	predictive	ADJ
cana-4627	21	28	accuracy	accuracy	NOUN
cana-4627	21	29	and	and	CCONJ
cana-4627	21	30	reducing	reduce	VERB
cana-4627	21	31	detection	detection	NOUN
cana-4627	21	32	errors	error	NOUN
cana-4627	21	33	.	.	PUNCT
cana-4627	22	1	the	the	DET
cana-4627	22	2	adaptability	adaptability	NOUN
cana-4627	22	3	of	of	ADP
cana-4627	22	4	gwo	gwo	PROPN
cana-4627	22	5	ensures	ensure	VERB
cana-4627	22	6	that	that	SCONJ
cana-4627	22	7	it	it	PRON
cana-4627	22	8	converges	converge	VERB
cana-4627	22	9	quickly	quickly	ADV
cana-4627	22	10	to	to	ADP
cana-4627	22	11	optimal	optimal	ADJ
cana-4627	22	12	solutions	solution	NOUN
cana-4627	22	13	while	while	SCONJ
cana-4627	22	14	being	be	AUX
cana-4627	22	15	efficient	efficient	ADJ
cana-4627	22	16	and	and	CCONJ
cana-4627	22	17	effective	effective	ADJ
cana-4627	22	18	even	even	ADV
cana-4627	22	19	in	in	ADP
cana-4627	22	20	highly	highly	ADV
cana-4627	22	21	dynamic	dynamic	ADJ
cana-4627	22	22	and	and	CCONJ
cana-4627	22	23	complex	complex	ADJ
cana-4627	22	24	intrusion	intrusion	NOUN
cana-4627	22	25	detection	detection	NOUN
cana-4627	22	26	environments	environment	NOUN
cana-4627	22	27	.	.	PUNCT
cana-4627	23	1	this	this	DET
cana-4627	23	2	groundbreaking	groundbreake	VERB
cana-4627	23	3	application	application	NOUN
cana-4627	23	4	of	of	ADP
cana-4627	23	5	gwo	gwo	PROPN
cana-4627	23	6	not	not	PART
cana-4627	23	7	only	only	ADV
cana-4627	23	8	dramatically	dramatically	ADV
cana-4627	23	9	improves	improve	VERB
cana-4627	23	10	the	the	DET
cana-4627	23	11	accuracy	accuracy	NOUN
cana-4627	23	12	and	and	CCONJ
cana-4627	23	13	validity	validity	NOUN
cana-4627	23	14	of	of	ADP
cana-4627	23	15	ids	id	NOUN
cana-4627	23	16	but	but	CCONJ
cana-4627	23	17	also	also	ADV
cana-4627	23	18	establishes	establish	VERB
cana-4627	23	19	a	a	DET
cana-4627	23	20	new	new	ADJ
cana-4627	23	21	standard	standard	NOUN
cana-4627	23	22	for	for	ADP
cana-4627	23	23	adaptive	adaptive	ADJ
cana-4627	23	24	,	,	PUNCT
cana-4627	23	25	metaheuristic	metaheuristic	ADJ
cana-4627	23	26	-	-	PUNCT
cana-4627	23	27	powered	power	VERB
cana-4627	23	28	ensemble	ensemble	ADJ
cana-4627	23	29	optimization	optimization	NOUN
cana-4627	23	30	across	across	ADP
cana-4627	23	31	cybersecurity	cybersecurity	NOUN
cana-4627	23	32	applications	application	NOUN
cana-4627	23	33	.	.	PUNCT
cana-4627	24	1	moreover	moreover	ADV
cana-4627	24	2	,	,	PUNCT
cana-4627	24	3	this	this	DET
cana-4627	24	4	study	study	NOUN
cana-4627	24	5	employs	employ	VERB
cana-4627	24	6	advanced	advanced	ADJ
cana-4627	24	7	feature	feature	NOUN
cana-4627	24	8	selection	selection	NOUN
cana-4627	24	9	methods	method	NOUN
cana-4627	24	10	to	to	PART
cana-4627	24	11	further	far	ADV
cana-4627	24	12	enhance	enhance	VERB
cana-4627	24	13	the	the	DET
cana-4627	24	14	efficiency	efficiency	NOUN
cana-4627	24	15	and	and	CCONJ
cana-4627	24	16	accuracy	accuracy	NOUN
cana-4627	24	17	of	of	ADP
cana-4627	24	18	the	the	DET
cana-4627	24	19	ensemble	ensemble	ADJ
cana-4627	24	20	model	model	NOUN
cana-4627	24	21	.	.	PUNCT
cana-4627	25	1	feature	feature	NOUN
cana-4627	25	2	selection	selection	NOUN
cana-4627	25	3	is	be	AUX
cana-4627	25	4	also	also	ADV
cana-4627	25	5	important	important	ADJ
cana-4627	25	6	in	in	ADP
cana-4627	25	7	intrusion	intrusion	NOUN
cana-4627	25	8	detection	detection	NOUN
cana-4627	25	9	to	to	PART
cana-4627	25	10	remove	remove	VERB
cana-4627	25	11	redundant	redundant	ADJ
cana-4627	25	12	and	and	CCONJ
cana-4627	25	13	irrelevant	irrelevant	ADJ
cana-4627	25	14	features	feature	NOUN
cana-4627	25	15	,	,	PUNCT
cana-4627	25	16	thus	thus	ADV
cana-4627	25	17	simplifying	simplify	VERB
cana-4627	25	18	the	the	DET
cana-4627	25	19	dataset	dataset	NOUN
cana-4627	25	20	and	and	CCONJ
cana-4627	25	21	decreasing	decrease	VERB
cana-4627	25	22	computational	computational	ADJ
cana-4627	25	23	complexity	complexity	NOUN
cana-4627	25	24	.	.	PUNCT
cana-4627	26	1	more	more	ADV
cana-4627	26	2	sophisticated	sophisticated	ADJ
cana-4627	26	3	feature	feature	NOUN
cana-4627	26	4	selection	selection	NOUN
cana-4627	26	5	techniques	technique	NOUN
cana-4627	26	6	,	,	PUNCT
cana-4627	26	7	such	such	ADJ
cana-4627	26	8	as	as	ADP
cana-4627	26	9	random	random	ADJ
cana-4627	26	10	forest	forest	NOUN
cana-4627	26	11	feature	feature	NOUN
cana-4627	26	12	importance	importance	NOUN
cana-4627	26	13	analysis	analysis	NOUN
cana-4627	26	14	and	and	CCONJ
cana-4627	26	15	recursive	recursive	ADJ
cana-4627	26	16	feature	feature	NOUN
cana-4627	26	17	elimination	elimination	NOUN
cana-4627	26	18	(	(	PUNCT
cana-4627	26	19	rfe	rfe	NOUN
cana-4627	26	20	)	)	PUNCT
cana-4627	26	21	,	,	PUNCT
cana-4627	26	22	are	be	AUX
cana-4627	26	23	utilized	utilize	VERB
cana-4627	26	24	to	to	PART
cana-4627	26	25	methodically	methodically	ADV
cana-4627	26	26	choose	choose	VERB
cana-4627	26	27	and	and	CCONJ
cana-4627	26	28	preserve	preserve	VERB
cana-4627	26	29	the	the	DET
cana-4627	26	30	most	most	ADV
cana-4627	26	31	informative	informative	ADJ
cana-4627	26	32	attributes	attribute	NOUN
cana-4627	26	33	.	.	PUNCT
cana-4627	27	1	through	through	ADP
cana-4627	27	2	the	the	DET
cana-4627	27	3	integration	integration	NOUN
cana-4627	27	4	of	of	ADP
cana-4627	27	5	these	these	DET
cana-4627	27	6	techniques	technique	NOUN
cana-4627	27	7	,	,	PUNCT
cana-4627	27	8	the	the	DET
cana-4627	27	9	ensemble	ensemble	ADJ
cana-4627	27	10	model	model	NOUN
cana-4627	27	11	enjoys	enjoy	VERB
cana-4627	27	12	better	well	ADJ
cana-4627	27	13	data	datum	NOUN
cana-4627	27	14	quality	quality	NOUN
cana-4627	27	15	and	and	CCONJ
cana-4627	27	16	lower	low	ADJ
cana-4627	27	17	noise	noise	NOUN
cana-4627	27	18	,	,	PUNCT
cana-4627	27	19	which	which	PRON
cana-4627	27	20	enables	enable	VERB
cana-4627	27	21	more	more	ADV
cana-4627	27	22	accurate	accurate	ADJ
cana-4627	27	23	intrusion	intrusion	NOUN
cana-4627	27	24	detection	detection	NOUN
cana-4627	27	25	results	result	NOUN
cana-4627	27	26	.	.	PUNCT
cana-4627	28	1	the	the	DET
cana-4627	28	2	empirical	empirical	ADJ
cana-4627	28	3	efficiency	efficiency	NOUN
cana-4627	28	4	of	of	ADP
cana-4627	28	5	the	the	DET
cana-4627	28	6	presented	present	VERB
cana-4627	28	7	ensemble	ensemble	ADJ
cana-4627	28	8	system	system	NOUN
cana-4627	28	9	,	,	PUNCT
cana-4627	28	10	incorporating	incorporate	VERB
cana-4627	28	11	ensemble	ensemble	ADJ
cana-4627	28	12	learning	learning	NOUN
cana-4627	28	13	,	,	PUNCT
cana-4627	28	14	gwo	gwo	PROPN
cana-4627	28	15	optimization	optimization	NOUN
cana-4627	28	16	,	,	PUNCT
cana-4627	28	17	and	and	CCONJ
cana-4627	28	18	stable	stable	ADJ
cana-4627	28	19	feature	feature	NOUN
cana-4627	28	20	selection	selection	NOUN
cana-4627	28	21	,	,	PUNCT
cana-4627	28	22	is	be	AUX
cana-4627	28	23	rigorously	rigorously	ADV
cana-4627	28	24	evaluated	evaluate	VERB
cana-4627	28	25	against	against	ADP
cana-4627	28	26	the	the	DET
cana-4627	28	27	commonly	commonly	ADV
cana-4627	28	28	used	use	VERB
cana-4627	28	29	nsl	nsl	PROPN
cana-4627	28	30	-	-	PUNCT
cana-4627	28	31	kdd	kdd	PROPN
cana-4627	28	32	dataset	dataset	NOUN
cana-4627	28	33	.	.	PUNCT
cana-4627	29	1	experimental	experimental	ADJ
cana-4627	29	2	results	result	NOUN
cana-4627	29	3	clearly	clearly	ADV
cana-4627	29	4	prove	prove	VERB
cana-4627	29	5	the	the	DET
cana-4627	29	6	dramatic	dramatic	ADJ
cana-4627	29	7	improvement	improvement	NOUN
cana-4627	29	8	in	in	ADP
cana-4627	29	9	intrusion	intrusion	NOUN
cana-4627	29	10	detection	detection	NOUN
cana-4627	29	11	accuracy	accuracy	NOUN
cana-4627	29	12	,	,	PUNCT
cana-4627	29	13	successfully	successfully	ADV
cana-4627	29	14	overcoming	overcome	VERB
cana-4627	29	15	the	the	DET
cana-4627	29	16	limitations	limitation	NOUN
cana-4627	29	17	of	of	ADP
cana-4627	29	18	past	past	ADJ
cana-4627	29	19	approaches	approach	NOUN
cana-4627	29	20	and	and	CCONJ
cana-4627	29	21	opening	open	VERB
cana-4627	29	22	the	the	DET
cana-4627	29	23	door	door	NOUN
cana-4627	29	24	to	to	ADP
cana-4627	29	25	highly	highly	ADV
cana-4627	29	26	trustworthy	trustworthy	ADJ
cana-4627	29	27	,	,	PUNCT
cana-4627	29	28	flexible	flexible	ADJ
cana-4627	29	29	,	,	PUNCT
cana-4627	29	30	and	and	CCONJ
cana-4627	29	31	efficient	efficient	ADJ
cana-4627	29	32	ids	id	NOUN
cana-4627	29	33	deployments	deployment	NOUN
cana-4627	29	34	in	in	ADP
cana-4627	29	35	actual	actual	ADJ
cana-4627	29	36	real	real	ADJ
cana-4627	29	37	-	-	PUNCT
cana-4627	29	38	world	world	NOUN
cana-4627	29	39	cybersecurity	cybersecurity	NOUN
cana-4627	29	40	applications	application	NOUN
cana-4627	29	41	.	.	PUNCT
cana-4627	30	1	figure	figure	NOUN
cana-4627	30	2	1	1	NUM
cana-4627	30	3	.	.	PUNCT
cana-4627	30	4	block	block	NOUN
cana-4627	30	5	diagram	diagram	NOUN
cana-4627	30	6	representation	representation	NOUN
cana-4627	30	7	of	of	ADP
cana-4627	30	8	proposed	propose	VERB
cana-4627	30	9	work	work	NOUN
cana-4627	30	10	communications	communication	NOUN
cana-4627	30	11	on	on	ADP
cana-4627	30	12	applied	apply	VERB
cana-4627	30	13	nonlinear	nonlinear	ADJ
cana-4627	30	14	analysis	analysis	NOUN
cana-4627	30	15	issn	issn	NOUN
cana-4627	30	16	:	:	PUNCT
cana-4627	30	17	1074	1074	NUM
cana-4627	30	18	-	-	PUNCT
cana-4627	30	19	133x	133x	NUM
cana-4627	30	20	vol	vol	NOUN
cana-4627	30	21	32	32	NUM
cana-4627	30	22	no	no	NOUN
cana-4627	30	23	.	.	NOUN
cana-4627	30	24	3	3	NUM
cana-4627	30	25	(	(	PUNCT
cana-4627	30	26	2025	2025	NUM
cana-4627	30	27	)	)	PUNCT
cana-4627	30	28	867	867	NUM
cana-4627	30	29	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	30	30	2	2	X
cana-4627	30	31	.	.	X
cana-4627	30	32	literature	literature	NOUN
cana-4627	30	33	review	review	NOUN
cana-4627	30	34	over	over	ADP
cana-4627	30	35	the	the	DET
cana-4627	30	36	past	past	ADJ
cana-4627	30	37	few	few	ADJ
cana-4627	30	38	years	year	NOUN
cana-4627	30	39	,	,	PUNCT
cana-4627	30	40	ensemble	ensemble	ADJ
cana-4627	30	41	learning	learning	NOUN
cana-4627	30	42	methods	method	NOUN
cana-4627	30	43	have	have	AUX
cana-4627	30	44	become	become	VERB
cana-4627	30	45	more	more	ADV
cana-4627	30	46	popular	popular	ADJ
cana-4627	30	47	as	as	ADP
cana-4627	30	48	efficient	efficient	ADJ
cana-4627	30	49	ways	way	NOUN
cana-4627	30	50	of	of	ADP
cana-4627	30	51	improving	improve	VERB
cana-4627	30	52	intrusion	intrusion	NOUN
cana-4627	30	53	detection	detection	NOUN
cana-4627	30	54	systems	system	NOUN
cana-4627	30	55	(	(	PUNCT
cana-4627	30	56	idss	idss	ADV
cana-4627	30	57	)	)	PUNCT
cana-4627	30	58	.	.	PUNCT
cana-4627	31	1	ensemble	ensemble	ADJ
cana-4627	31	2	approaches	approach	NOUN
cana-4627	31	3	,	,	PUNCT
cana-4627	31	4	which	which	PRON
cana-4627	31	5	combine	combine	VERB
cana-4627	31	6	the	the	DET
cana-4627	31	7	predictions	prediction	NOUN
cana-4627	31	8	of	of	ADP
cana-4627	31	9	a	a	DET
cana-4627	31	10	set	set	NOUN
cana-4627	31	11	of	of	ADP
cana-4627	31	12	base	base	NOUN
cana-4627	31	13	learners	learner	NOUN
cana-4627	31	14	,	,	PUNCT
cana-4627	31	15	have	have	AUX
cana-4627	31	16	always	always	ADV
cana-4627	31	17	been	be	AUX
cana-4627	31	18	found	find	VERB
cana-4627	31	19	to	to	PART
cana-4627	31	20	be	be	AUX
cana-4627	31	21	more	more	ADV
cana-4627	31	22	accurate	accurate	ADJ
cana-4627	31	23	and	and	CCONJ
cana-4627	31	24	robust	robust	ADJ
cana-4627	31	25	than	than	ADP
cana-4627	31	26	individualmodel	individualmodel	NOUN
cana-4627	31	27	systems	system	NOUN
cana-4627	31	28	.	.	PUNCT
cana-4627	32	1	kumar	kumar	PROPN
cana-4627	32	2	et	et	PROPN
cana-4627	32	3	al	al	PROPN
cana-4627	32	4	.	.	PROPN
cana-4627	32	5	(	(	PUNCT
cana-4627	32	6	2010	2010	NUM
cana-4627	32	7	)	)	PUNCT
cana-4627	32	8	gave	give	VERB
cana-4627	32	9	an	an	DET
cana-4627	32	10	in	in	ADP
cana-4627	32	11	-	-	PUNCT
cana-4627	32	12	depth	depth	NOUN
cana-4627	32	13	review	review	NOUN
cana-4627	32	14	of	of	ADP
cana-4627	32	15	ensemble	ensemble	ADJ
cana-4627	32	16	methods	method	NOUN
cana-4627	32	17	for	for	ADP
cana-4627	32	18	intrusion	intrusion	NOUN
cana-4627	32	19	detection	detection	NOUN
cana-4627	32	20	,	,	PUNCT
cana-4627	32	21	citing	cite	VERB
cana-4627	32	22	techniques	technique	NOUN
cana-4627	32	23	like	like	ADP
cana-4627	32	24	bagging	bagging	NOUN
cana-4627	32	25	,	,	PUNCT
cana-4627	32	26	boosting	boost	VERB
cana-4627	32	27	,	,	PUNCT
cana-4627	32	28	and	and	CCONJ
cana-4627	32	29	stacking	stacking	NOUN
cana-4627	32	30	,	,	PUNCT
cana-4627	32	31	and	and	CCONJ
cana-4627	32	32	different	different	ADJ
cana-4627	32	33	strategies	strategy	NOUN
cana-4627	32	34	for	for	ADP
cana-4627	32	35	combining	combine	VERB
cana-4627	32	36	classifier	classifier	NOUN
cana-4627	32	37	predictions	prediction	NOUN
cana-4627	32	38	.	.	PUNCT
cana-4627	33	1	building	build	VERB
cana-4627	33	2	upon	upon	SCONJ
cana-4627	33	3	these	these	DET
cana-4627	33	4	initial	initial	ADJ
cana-4627	33	5	findings	finding	NOUN
cana-4627	33	6	,	,	PUNCT
cana-4627	33	7	sagi	sagi	PROPN
cana-4627	33	8	et	et	PROPN
cana-4627	33	9	al	al	PROPN
cana-4627	33	10	.	.	PROPN
cana-4627	34	1	(	(	PUNCT
cana-4627	34	2	2017	2017	NUM
cana-4627	34	3	)	)	PUNCT
cana-4627	34	4	placed	place	VERB
cana-4627	34	5	further	further	ADJ
cana-4627	34	6	focus	focus	NOUN
cana-4627	34	7	on	on	ADP
cana-4627	34	8	the	the	DET
cana-4627	34	9	advantages	advantage	NOUN
cana-4627	34	10	of	of	ADP
cana-4627	34	11	ensemble	ensemble	ADJ
cana-4627	34	12	methods	method	NOUN
cana-4627	34	13	,	,	PUNCT
cana-4627	34	14	citing	cite	VERB
cana-4627	34	15	the	the	DET
cana-4627	34	16	ability	ability	NOUN
cana-4627	34	17	to	to	PART
cana-4627	34	18	reduce	reduce	VERB
cana-4627	34	19	overfitting	overfitting	NOUN
cana-4627	34	20	,	,	PUNCT
cana-4627	34	21	enhance	enhance	VERB
cana-4627	34	22	system	system	NOUN
cana-4627	34	23	accuracy	accuracy	NOUN
cana-4627	34	24	,	,	PUNCT
cana-4627	34	25	and	and	CCONJ
cana-4627	34	26	improve	improve	VERB
cana-4627	34	27	responsiveness	responsiveness	NOUN
cana-4627	34	28	to	to	ADP
cana-4627	34	29	changing	change	VERB
cana-4627	34	30	network	network	NOUN
cana-4627	34	31	conditions	condition	NOUN
cana-4627	34	32	.	.	PUNCT
cana-4627	35	1	recent	recent	ADJ
cana-4627	35	2	work	work	NOUN
cana-4627	35	3	by	by	ADP
cana-4627	35	4	abrar	abrar	PROPN
cana-4627	35	5	et	et	PROPN
cana-4627	35	6	al	al	PROPN
cana-4627	35	7	.	.	PROPN
cana-4627	36	1	(	(	PUNCT
cana-4627	36	2	2019	2019	NUM
cana-4627	36	3	)	)	PUNCT
cana-4627	36	4	presented	present	VERB
cana-4627	36	5	a	a	DET
cana-4627	36	6	strong	strong	ADJ
cana-4627	36	7	ensemble	ensemble	ADJ
cana-4627	36	8	approach	approach	NOUN
cana-4627	36	9	using	use	VERB
cana-4627	36	10	heterogeneous	heterogeneous	ADJ
cana-4627	36	11	classifiers	classifier	NOUN
cana-4627	36	12	such	such	ADJ
cana-4627	36	13	as	as	ADP
cana-4627	36	14	support	support	NOUN
cana-4627	36	15	vector	vector	NOUN
cana-4627	36	16	machines	machine	NOUN
cana-4627	36	17	,	,	PUNCT
cana-4627	36	18	k	k	X
cana-4627	36	19	-	-	PUNCT
cana-4627	36	20	nearest	near	ADJ
cana-4627	36	21	neighbors	neighbor	NOUN
cana-4627	36	22	,	,	PUNCT
cana-4627	36	23	logistic	logistic	ADJ
cana-4627	36	24	regression	regression	NOUN
cana-4627	36	25	,	,	PUNCT
cana-4627	36	26	naive	naive	ADJ
cana-4627	36	27	bayes	bayes	NOUN
cana-4627	36	28	,	,	PUNCT
cana-4627	36	29	multilayer	multilayer	ADJ
cana-4627	36	30	perceptrons	perceptron	NOUN
cana-4627	36	31	,	,	PUNCT
cana-4627	36	32	random	random	ADJ
cana-4627	36	33	forests	forest	NOUN
cana-4627	36	34	,	,	PUNCT
cana-4627	36	35	extra	extra	ADJ
cana-4627	36	36	-	-	ADJ
cana-4627	36	37	tree	tree	ADJ
cana-4627	36	38	classifiers	classifier	NOUN
cana-4627	36	39	,	,	PUNCT
cana-4627	36	40	and	and	CCONJ
cana-4627	36	41	decision	decision	NOUN
cana-4627	36	42	trees	tree	NOUN
cana-4627	36	43	,	,	PUNCT
cana-4627	36	44	with	with	ADP
cana-4627	36	45	high	high	ADJ
cana-4627	36	46	accuracy	accuracy	NOUN
cana-4627	36	47	in	in	ADP
cana-4627	36	48	anomaly	anomaly	NOUN
cana-4627	36	49	detection	detection	NOUN
cana-4627	36	50	applications	application	NOUN
cana-4627	36	51	.	.	PUNCT
cana-4627	37	1	seth	seth	PROPN
cana-4627	37	2	et	et	PROPN
cana-4627	37	3	al	al	PROPN
cana-4627	37	4	.	.	PROPN
cana-4627	37	5	(	(	PUNCT
cana-4627	37	6	2020	2020	NUM
cana-4627	37	7	)	)	PUNCT
cana-4627	37	8	proposed	propose	VERB
cana-4627	37	9	a	a	DET
cana-4627	37	10	novel	novel	ADJ
cana-4627	37	11	ensemble	ensemble	ADJ
cana-4627	37	12	architecture	architecture	NOUN
cana-4627	37	13	tailored	tailor	VERB
cana-4627	37	14	for	for	ADP
cana-4627	37	15	multiclass	multiclass	ADJ
cana-4627	37	16	attack	attack	NOUN
cana-4627	37	17	detection	detection	NOUN
cana-4627	37	18	,	,	PUNCT
cana-4627	37	19	which	which	PRON
cana-4627	37	20	uses	use	VERB
cana-4627	37	21	classifier	classifier	NOUN
cana-4627	37	22	rankings	ranking	NOUN
cana-4627	37	23	based	base	VERB
cana-4627	37	24	on	on	ADP
cana-4627	37	25	their	their	PRON
cana-4627	37	26	detection	detection	NOUN
cana-4627	37	27	power	power	NOUN
cana-4627	37	28	,	,	PUNCT
cana-4627	37	29	successfully	successfully	ADV
cana-4627	37	30	pairing	pair	VERB
cana-4627	37	31	classifiers	classifier	NOUN
cana-4627	37	32	with	with	ADP
cana-4627	37	33	particular	particular	ADJ
cana-4627	37	34	intrusion	intrusion	NOUN
cana-4627	37	35	types	type	NOUN
cana-4627	37	36	.	.	PUNCT
cana-4627	38	1	expanding	expand	VERB
cana-4627	38	2	on	on	ADP
cana-4627	38	3	these	these	DET
cana-4627	38	4	methodologies	methodology	NOUN
cana-4627	38	5	,	,	PUNCT
cana-4627	38	6	current	current	ADJ
cana-4627	38	7	research	research	NOUN
cana-4627	38	8	has	have	AUX
cana-4627	38	9	introduced	introduce	VERB
cana-4627	38	10	additional	additional	ADJ
cana-4627	38	11	novel	novel	ADJ
cana-4627	38	12	ensemble	ensemble	ADJ
cana-4627	38	13	techniques	technique	NOUN
cana-4627	38	14	.	.	PUNCT
cana-4627	39	1	govindarajan	govindarajan	NOUN
cana-4627	39	2	(	(	PUNCT
cana-4627	39	3	2018	2018	NUM
cana-4627	39	4	)	)	PUNCT
cana-4627	39	5	suggested	suggest	VERB
cana-4627	39	6	hybrid	hybrid	ADJ
cana-4627	39	7	ensemble	ensemble	ADJ
cana-4627	39	8	classifiers	classifier	NOUN
cana-4627	39	9	based	base	VERB
cana-4627	39	10	on	on	ADP
cana-4627	39	11	homogeneous	homogeneous	ADJ
cana-4627	39	12	bagging	bagging	NOUN
cana-4627	39	13	and	and	CCONJ
cana-4627	39	14	heterogeneous	heterogeneous	ADJ
cana-4627	39	15	arcing	arc	VERB
cana-4627	39	16	methods	method	NOUN
cana-4627	39	17	,	,	PUNCT
cana-4627	39	18	with	with	ADP
cana-4627	39	19	the	the	DET
cana-4627	39	20	resultant	resultant	NOUN
cana-4627	39	21	detection	detection	NOUN
cana-4627	39	22	precision	precision	NOUN
cana-4627	39	23	greater	great	ADJ
cana-4627	39	24	than	than	ADP
cana-4627	39	25	that	that	PRON
cana-4627	39	26	of	of	ADP
cana-4627	39	27	standalone	standalone	ADJ
cana-4627	39	28	classifiers	classifier	NOUN
cana-4627	39	29	.	.	PUNCT
cana-4627	40	1	likewise	likewise	ADV
cana-4627	40	2	,	,	PUNCT
cana-4627	40	3	bhati	bhati	PROPN
cana-4627	40	4	and	and	CCONJ
cana-4627	40	5	rai	rai	X
cana-4627	40	6	(	(	PUNCT
cana-4627	40	7	2019	2019	NUM
cana-4627	40	8	)	)	PUNCT
cana-4627	40	9	illustrated	illustrate	VERB
cana-4627	40	10	improved	improved	ADJ
cana-4627	40	11	intrusion	intrusion	NOUN
cana-4627	40	12	detection	detection	NOUN
cana-4627	40	13	by	by	ADP
cana-4627	40	14	using	use	VERB
cana-4627	40	15	extra	extra	ADJ
cana-4627	40	16	-	-	ADJ
cana-4627	40	17	tree	tree	ADJ
cana-4627	40	18	classifiers	classifier	NOUN
cana-4627	40	19	,	,	PUNCT
cana-4627	40	20	successfully	successfully	ADV
cana-4627	40	21	tested	test	VERB
cana-4627	40	22	on	on	ADP
cana-4627	40	23	kddcup99	kddcup99	PROPN
cana-4627	40	24	and	and	CCONJ
cana-4627	40	25	nsl	nsl	PROPN
cana-4627	40	26	-	-	PUNCT
cana-4627	40	27	kdd	kdd	NOUN
cana-4627	40	28	datasets	dataset	NOUN
cana-4627	40	29	.	.	PUNCT
cana-4627	41	1	later	later	ADV
cana-4627	41	2	,	,	PUNCT
cana-4627	41	3	pham	pham	PROPN
cana-4627	41	4	et	et	PROPN
cana-4627	41	5	al	al	PROPN
cana-4627	41	6	.	.	PROPN
cana-4627	42	1	(	(	PUNCT
cana-4627	42	2	2019	2019	NUM
cana-4627	42	3	)	)	PUNCT
cana-4627	42	4	merged	merge	VERB
cana-4627	42	5	bagging	bagging	NOUN
cana-4627	42	6	and	and	CCONJ
cana-4627	42	7	boosting	boost	VERB
cana-4627	42	8	techniques	technique	NOUN
cana-4627	42	9	with	with	ADP
cana-4627	42	10	intelligent	intelligent	ADJ
cana-4627	42	11	feature	feature	NOUN
cana-4627	42	12	selection	selection	NOUN
cana-4627	42	13	,	,	PUNCT
cana-4627	42	14	considerably	considerably	ADV
cana-4627	42	15	enhancing	enhance	VERB
cana-4627	42	16	detection	detection	NOUN
cana-4627	42	17	accuracy	accuracy	NOUN
cana-4627	42	18	on	on	ADP
cana-4627	42	19	the	the	DET
cana-4627	42	20	nsl	nsl	NOUN
cana-4627	42	21	-	-	PUNCT
cana-4627	42	22	kdd	kdd	NOUN
cana-4627	42	23	dataset	dataset	NOUN
cana-4627	42	24	using	use	VERB
cana-4627	42	25	decision	decision	NOUN
cana-4627	42	26	tree	tree	NOUN
cana-4627	42	27	classifiers	classifier	NOUN
cana-4627	42	28	.	.	PUNCT
cana-4627	43	1	in	in	ADP
cana-4627	43	2	2020	2020	NUM
cana-4627	43	3	,	,	PUNCT
cana-4627	43	4	zhou	zhou	PROPN
cana-4627	43	5	et	et	PROPN
cana-4627	43	6	al	al	PROPN
cana-4627	43	7	.	.	PROPN
cana-4627	43	8	introduced	introduce	VERB
cana-4627	43	9	an	an	DET
cana-4627	43	10	ensemble	ensemble	ADJ
cana-4627	43	11	model	model	NOUN
cana-4627	43	12	that	that	PRON
cana-4627	43	13	utilized	utilize	VERB
cana-4627	43	14	modified	modify	VERB
cana-4627	43	15	adaptive	adaptive	ADJ
cana-4627	43	16	boosting	boost	VERB
cana-4627	43	17	with	with	ADP
cana-4627	43	18	area	area	NOUN
cana-4627	43	19	under	under	ADP
cana-4627	43	20	the	the	DET
cana-4627	43	21	curve	curve	NOUN
cana-4627	43	22	(	(	PUNCT
cana-4627	43	23	m	m	NOUN
cana-4627	43	24	-	-	PUNCT
cana-4627	43	25	adaboost	adaboost	ADV
cana-4627	43	26	-	-	PUNCT
cana-4627	43	27	a	a	NOUN
cana-4627	43	28	)	)	PUNCT
cana-4627	43	29	optimization	optimization	NOUN
cana-4627	43	30	algorithm	algorithm	NOUN
cana-4627	43	31	,	,	PUNCT
cana-4627	43	32	combining	combine	VERB
cana-4627	43	33	particle	particle	NOUN
cana-4627	43	34	swarm	swarm	NOUN
cana-4627	43	35	optimization	optimization	NOUN
cana-4627	43	36	(	(	PUNCT
cana-4627	43	37	pso	pso	NOUN
cana-4627	43	38	)	)	PUNCT
cana-4627	43	39	and	and	CCONJ
cana-4627	43	40	simple	simple	ADJ
cana-4627	43	41	majority	majority	NOUN
cana-4627	43	42	voting	voting	NOUN
cana-4627	43	43	(	(	PUNCT
cana-4627	43	44	smv	smv	NOUN
cana-4627	43	45	)	)	PUNCT
cana-4627	43	46	,	,	PUNCT
cana-4627	43	47	with	with	ADP
cana-4627	43	48	significant	significant	ADJ
cana-4627	43	49	accuracy	accuracy	NOUN
cana-4627	43	50	gains	gain	NOUN
cana-4627	43	51	on	on	ADP
cana-4627	43	52	the	the	DET
cana-4627	43	53	nsl	nsl	PROPN
cana-4627	43	54	-	-	PUNCT
cana-4627	43	55	kdd	kdd	PROPN
cana-4627	43	56	dataset	dataset	NOUN
cana-4627	43	57	.	.	PUNCT
cana-4627	44	1	subsequent	subsequent	ADJ
cana-4627	44	2	advancements	advancement	NOUN
cana-4627	44	3	in	in	ADP
cana-4627	44	4	2023	2023	NUM
cana-4627	44	5	and	and	CCONJ
cana-4627	44	6	2024	2024	NUM
cana-4627	44	7	have	have	AUX
cana-4627	44	8	seen	see	VERB
cana-4627	44	9	ever	ever	ADV
cana-4627	44	10	more	more	ADV
cana-4627	44	11	advanced	advanced	ADJ
cana-4627	44	12	implementations	implementation	NOUN
cana-4627	44	13	of	of	ADP
cana-4627	44	14	ensemble	ensemble	ADJ
cana-4627	44	15	strategies	strategy	NOUN
cana-4627	44	16	,	,	PUNCT
cana-4627	44	17	using	use	VERB
cana-4627	44	18	advanced	advanced	ADJ
cana-4627	44	19	optimisation	optimisation	NOUN
cana-4627	44	20	tools	tool	NOUN
cana-4627	44	21	and	and	CCONJ
cana-4627	44	22	more	more	ADJ
cana-4627	44	23	adaptive	adaptive	ADJ
cana-4627	44	24	adjustment	adjustment	NOUN
cana-4627	44	25	mechanisms	mechanism	NOUN
cana-4627	44	26	,	,	PUNCT
cana-4627	44	27	consistently	consistently	ADV
cana-4627	44	28	enhancing	enhance	VERB
cana-4627	44	29	ids	id	NOUN
cana-4627	44	30	performance	performance	NOUN
cana-4627	44	31	and	and	CCONJ
cana-4627	44	32	system	system	NOUN
cana-4627	44	33	robustness	robustness	NOUN
cana-4627	44	34	against	against	ADP
cana-4627	44	35	novel	novel	ADJ
cana-4627	44	36	threats	threat	NOUN
cana-4627	44	37	.	.	PUNCT
cana-4627	45	1	taken	take	VERB
cana-4627	45	2	together	together	ADV
cana-4627	45	3	,	,	PUNCT
cana-4627	45	4	these	these	PRON
cana-4627	45	5	unfolding	unfold	VERB
cana-4627	45	6	ensemble	ensemble	ADJ
cana-4627	45	7	techniques	technique	NOUN
cana-4627	45	8	demonstrate	demonstrate	VERB
cana-4627	45	9	their	their	PRON
cana-4627	45	10	continued	continue	VERB
cana-4627	45	11	capacity	capacity	NOUN
cana-4627	45	12	to	to	PART
cana-4627	45	13	make	make	VERB
cana-4627	45	14	a	a	DET
cana-4627	45	15	dramatic	dramatic	ADJ
cana-4627	45	16	upgrade	upgrade	NOUN
cana-4627	45	17	to	to	ADP
cana-4627	45	18	intrusion	intrusion	NOUN
cana-4627	45	19	detection	detection	NOUN
cana-4627	45	20	accuracy	accuracy	NOUN
cana-4627	45	21	,	,	PUNCT
cana-4627	45	22	responsiveness	responsiveness	NOUN
cana-4627	45	23	,	,	PUNCT
cana-4627	45	24	and	and	CCONJ
cana-4627	45	25	trustworthiness	trustworthiness	NOUN
cana-4627	45	26	in	in	ADP
cana-4627	45	27	today	today	NOUN
cana-4627	45	28	's	's	PART
cana-4627	45	29	network	network	NOUN
cana-4627	45	30	security	security	NOUN
cana-4627	45	31	environments	environment	NOUN
cana-4627	45	32	.	.	PUNCT
cana-4627	46	1	3	3	X
cana-4627	46	2	.	.	X
cana-4627	46	3	materials	material	NOUN
cana-4627	46	4	and	and	CCONJ
cana-4627	46	5	methods	method	NOUN
cana-4627	46	6	:	:	PUNCT
cana-4627	46	7	dataset	dataset	NOUN
cana-4627	46	8	:	:	PUNCT
cana-4627	46	9	the	the	DET
cana-4627	46	10	nsl	nsl	PROPN
cana-4627	46	11	-	-	PUNCT
cana-4627	46	12	kdd	kdd	PROPN
cana-4627	46	13	dataset	dataset	NOUN
cana-4627	46	14	is	be	AUX
cana-4627	46	15	widely	widely	ADV
cana-4627	46	16	used	use	VERB
cana-4627	46	17	for	for	ADP
cana-4627	46	18	testing	testing	NOUN
cana-4627	46	19	intrusion	intrusion	NOUN
cana-4627	46	20	detection	detection	NOUN
cana-4627	46	21	systems	system	NOUN
cana-4627	46	22	because	because	SCONJ
cana-4627	46	23	of	of	ADP
cana-4627	46	24	its	its	PRON
cana-4627	46	25	fine	fine	ADJ
cana-4627	46	26	and	and	CCONJ
cana-4627	46	27	balanced	balanced	ADJ
cana-4627	46	28	composition	composition	NOUN
cana-4627	46	29	,	,	PUNCT
cana-4627	46	30	free	free	ADJ
cana-4627	46	31	from	from	ADP
cana-4627	46	32	the	the	DET
cana-4627	46	33	redundant	redundant	ADJ
cana-4627	46	34	records	record	NOUN
cana-4627	46	35	that	that	PRON
cana-4627	46	36	are	be	AUX
cana-4627	46	37	typically	typically	ADV
cana-4627	46	38	present	present	ADJ
cana-4627	46	39	in	in	ADP
cana-4627	46	40	its	its	PRON
cana-4627	46	41	ancestor	ancestor	NOUN
cana-4627	46	42	,	,	PUNCT
cana-4627	46	43	the	the	DET
cana-4627	46	44	kdd'99	kdd'99	NOUN
cana-4627	46	45	dataset	dataset	VERB
cana-4627	46	46	.	.	PUNCT
cana-4627	47	1	the	the	DET
cana-4627	47	2	dataset	dataset	NOUN
cana-4627	47	3	consists	consist	VERB
cana-4627	47	4	of	of	ADP
cana-4627	47	5	a	a	DET
cana-4627	47	6	varied	varied	ADJ
cana-4627	47	7	collection	collection	NOUN
cana-4627	47	8	of	of	ADP
cana-4627	47	9	network	network	NOUN
cana-4627	47	10	connection	connection	NOUN
cana-4627	47	11	communications	communication	NOUN
cana-4627	47	12	on	on	ADP
cana-4627	47	13	applied	apply	VERB
cana-4627	47	14	nonlinear	nonlinear	ADJ
cana-4627	47	15	analysis	analysis	NOUN
cana-4627	47	16	issn	issn	NOUN
cana-4627	47	17	:	:	PUNCT
cana-4627	47	18	1074	1074	NUM
cana-4627	47	19	-	-	PUNCT
cana-4627	47	20	133x	133x	NUM
cana-4627	47	21	vol	vol	NOUN
cana-4627	47	22	32	32	NUM
cana-4627	47	23	no	no	NOUN
cana-4627	47	24	.	.	NOUN
cana-4627	47	25	3	3	NUM
cana-4627	47	26	(	(	PUNCT
cana-4627	47	27	2025	2025	NUM
cana-4627	47	28	)	)	PUNCT
cana-4627	47	29	868	868	NUM
cana-4627	47	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	47	31	features	feature	NOUN
cana-4627	47	32	that	that	PRON
cana-4627	47	33	are	be	AUX
cana-4627	47	34	classified	classify	VERB
cana-4627	47	35	into	into	ADP
cana-4627	47	36	intrinsic	intrinsic	ADJ
cana-4627	47	37	,	,	PUNCT
cana-4627	47	38	content	content	NOUN
cana-4627	47	39	-	-	PUNCT
cana-4627	47	40	based	base	VERB
cana-4627	47	41	,	,	PUNCT
cana-4627	47	42	time	time	NOUN
cana-4627	47	43	-	-	PUNCT
cana-4627	47	44	based	base	VERB
cana-4627	47	45	,	,	PUNCT
cana-4627	47	46	and	and	CCONJ
cana-4627	47	47	host	host	NOUN
cana-4627	47	48	-	-	PUNCT
cana-4627	47	49	based	base	VERB
cana-4627	47	50	categories	category	NOUN
cana-4627	47	51	.	.	PUNCT
cana-4627	48	1	these	these	DET
cana-4627	48	2	features	feature	NOUN
cana-4627	48	3	cover	cover	VERB
cana-4627	48	4	a	a	DET
cana-4627	48	5	wide	wide	ADJ
cana-4627	48	6	range	range	NOUN
cana-4627	48	7	of	of	ADP
cana-4627	48	8	network	network	NOUN
cana-4627	48	9	interaction	interaction	NOUN
cana-4627	48	10	aspects	aspect	NOUN
cana-4627	48	11	comprehensively	comprehensively	ADV
cana-4627	48	12	,	,	PUNCT
cana-4627	48	13	making	make	VERB
cana-4627	48	14	it	it	PRON
cana-4627	48	15	possible	possible	ADJ
cana-4627	48	16	to	to	PART
cana-4627	48	17	effectively	effectively	ADV
cana-4627	48	18	identify	identify	VERB
cana-4627	48	19	and	and	CCONJ
cana-4627	48	20	distinguish	distinguish	VERB
cana-4627	48	21	between	between	ADP
cana-4627	48	22	normal	normal	ADJ
cana-4627	48	23	and	and	CCONJ
cana-4627	48	24	malicious	malicious	ADJ
cana-4627	48	25	behavior	behavior	NOUN
cana-4627	48	26	.	.	PUNCT
cana-4627	49	1	its	its	PRON
cana-4627	49	2	balanced	balanced	ADJ
cana-4627	49	3	and	and	CCONJ
cana-4627	49	4	redundancy	redundancy	NOUN
cana-4627	49	5	-	-	PUNCT
cana-4627	49	6	free	free	ADJ
cana-4627	49	7	properties	property	NOUN
cana-4627	49	8	make	make	VERB
cana-4627	49	9	the	the	DET
cana-4627	49	10	nsl	nsl	NOUN
cana-4627	49	11	-	-	PUNCT
cana-4627	49	12	kdd	kdd	PROPN
cana-4627	49	13	dataset	dataset	NOUN
cana-4627	49	14	uniquely	uniquely	ADV
cana-4627	49	15	apt	apt	ADJ
cana-4627	49	16	for	for	ADP
cana-4627	49	17	training	train	VERB
cana-4627	49	18	robust	robust	ADJ
cana-4627	49	19	and	and	CCONJ
cana-4627	49	20	generalizable	generalizable	ADJ
cana-4627	49	21	intrusion	intrusion	NOUN
cana-4627	49	22	detection	detection	NOUN
cana-4627	49	23	models	model	NOUN
cana-4627	49	24	,	,	PUNCT
cana-4627	49	25	thus	thus	ADV
cana-4627	49	26	increasing	increase	VERB
cana-4627	49	27	the	the	DET
cana-4627	49	28	validity	validity	NOUN
cana-4627	49	29	and	and	CCONJ
cana-4627	49	30	relevance	relevance	NOUN
cana-4627	49	31	of	of	ADP
cana-4627	49	32	experimental	experimental	ADJ
cana-4627	49	33	outcomes	outcome	NOUN
cana-4627	49	34	.	.	PUNCT
cana-4627	50	1	table	table	NOUN
cana-4627	50	2	1	1	NUM
cana-4627	50	3	:	:	PUNCT
cana-4627	50	4	features	feature	VERB
cana-4627	50	5	in	in	ADP
cana-4627	50	6	the	the	DET
cana-4627	50	7	nsl	nsl	PROPN
cana-4627	50	8	-	-	PUNCT
cana-4627	50	9	kdd	kdd	PROPN
cana-4627	50	10	dataset	dataset	PROPN
cana-4627	50	11	category	category	NOUN
cana-4627	50	12	example	example	NOUN
cana-4627	50	13	features	feature	VERB
cana-4627	50	14	intrinsic	intrinsic	ADJ
cana-4627	50	15	duration	duration	NOUN
cana-4627	50	16	,	,	PUNCT
cana-4627	50	17	protocol	protocol	NOUN
cana-4627	50	18	type	type	NOUN
cana-4627	50	19	,	,	PUNCT
cana-4627	50	20	service	service	NOUN
cana-4627	50	21	,	,	PUNCT
cana-4627	50	22	flag	flag	NOUN
cana-4627	50	23	,	,	PUNCT
cana-4627	50	24	source	source	NOUN
cana-4627	50	25	bytes	byte	NOUN
cana-4627	50	26	,	,	PUNCT
cana-4627	50	27	destination	destination	NOUN
cana-4627	50	28	bytes	byte	NOUN
cana-4627	50	29	contentbased	contentbase	VERB
cana-4627	50	30	number	number	NOUN
cana-4627	50	31	of	of	ADP
cana-4627	50	32	failed	fail	VERB
cana-4627	50	33	logins	login	NOUN
cana-4627	50	34	,	,	PUNCT
cana-4627	50	35	logged	log	VERB
cana-4627	50	36	-	-	PUNCT
cana-4627	50	37	in	in	ADP
cana-4627	50	38	status	status	NOUN
cana-4627	50	39	,	,	PUNCT
cana-4627	50	40	number	number	NOUN
cana-4627	50	41	of	of	ADP
cana-4627	50	42	compromised	compromise	VERB
cana-4627	50	43	conditions	condition	NOUN
cana-4627	50	44	,	,	PUNCT
cana-4627	50	45	root	root	NOUN
cana-4627	50	46	shell	shell	ADJ
cana-4627	50	47	time	time	NOUN
cana-4627	50	48	-	-	PUNCT
cana-4627	50	49	based	base	VERB
cana-4627	50	50	count	count	NOUN
cana-4627	50	51	of	of	ADP
cana-4627	50	52	connections	connection	NOUN
cana-4627	50	53	to	to	ADP
cana-4627	50	54	the	the	DET
cana-4627	50	55	same	same	ADJ
cana-4627	50	56	host	host	NOUN
cana-4627	50	57	,	,	PUNCT
cana-4627	50	58	percentage	percentage	NOUN
cana-4627	50	59	of	of	ADP
cana-4627	50	60	connections	connection	NOUN
cana-4627	50	61	with	with	ADP
cana-4627	50	62	syn	syn	PROPN
cana-4627	50	63	errors	error	NOUN
cana-4627	50	64	host	host	NOUN
cana-4627	50	65	-	-	PUNCT
cana-4627	50	66	based	base	VERB
cana-4627	50	67	number	number	NOUN
cana-4627	50	68	of	of	ADP
cana-4627	50	69	file	file	NOUN
cana-4627	50	70	creation	creation	NOUN
cana-4627	50	71	operations	operation	NOUN
cana-4627	50	72	,	,	PUNCT
cana-4627	50	73	number	number	NOUN
cana-4627	50	74	of	of	ADP
cana-4627	50	75	shell	shell	ADJ
cana-4627	50	76	prompts	prompt	NOUN
cana-4627	50	77	,	,	PUNCT
cana-4627	50	78	number	number	NOUN
cana-4627	50	79	of	of	ADP
cana-4627	50	80	outbound	outbound	ADJ
cana-4627	50	81	commands	command	NOUN
cana-4627	50	82	proposed	propose	VERB
cana-4627	50	83	framework	framework	NOUN
cana-4627	50	84	:	:	PUNCT
cana-4627	50	85	1	1	X
cana-4627	50	86	.	.	X
cana-4627	50	87	data	datum	NOUN
cana-4627	50	88	preprocessing	preprocessing	NOUN
cana-4627	50	89	:	:	PUNCT
cana-4627	50	90	data	datum	NOUN
cana-4627	50	91	preprocessing	preprocessing	NOUN
cana-4627	50	92	enhances	enhance	NOUN
cana-4627	50	93	data	datum	NOUN
cana-4627	50	94	quality	quality	NOUN
cana-4627	50	95	and	and	CCONJ
cana-4627	50	96	model	model	NOUN
cana-4627	50	97	performance	performance	NOUN
cana-4627	50	98	.	.	PUNCT
cana-4627	51	1	initially	initially	ADV
cana-4627	51	2	,	,	PUNCT
cana-4627	51	3	categorical	categorical	ADJ
cana-4627	51	4	features	feature	NOUN
cana-4627	51	5	are	be	AUX
cana-4627	51	6	transformed	transform	VERB
cana-4627	51	7	into	into	ADP
cana-4627	51	8	numerical	numerical	ADJ
cana-4627	51	9	values	value	NOUN
cana-4627	51	10	using	use	VERB
cana-4627	51	11	one	one	NUM
cana-4627	51	12	-	-	PUNCT
cana-4627	51	13	hot	hot	ADJ
cana-4627	51	14	encoding	encoding	NOUN
cana-4627	51	15	:	:	PUNCT
cana-4627	51	16	numerical	numerical	ADJ
cana-4627	51	17	features	feature	NOUN
cana-4627	51	18	are	be	AUX
cana-4627	51	19	normalized	normalize	VERB
cana-4627	51	20	using	use	VERB
cana-4627	51	21	the	the	DET
cana-4627	51	22	standard	standard	ADJ
cana-4627	51	23	normalization	normalization	NOUN
cana-4627	51	24	technique	technique	NOUN
cana-4627	51	25	,	,	PUNCT
cana-4627	51	26	given	give	VERB
cana-4627	51	27	by	by	ADP
cana-4627	51	28	:	:	PUNCT
cana-4627	51	29	where	where	SCONJ
cana-4627	51	30	represents	represent	VERB
cana-4627	51	31	the	the	DET
cana-4627	51	32	original	original	ADJ
cana-4627	51	33	feature	feature	NOUN
cana-4627	51	34	values	value	NOUN
cana-4627	51	35	,	,	PUNCT
cana-4627	51	36	is	be	AUX
cana-4627	51	37	the	the	DET
cana-4627	51	38	mean	mean	NOUN
cana-4627	51	39	,	,	PUNCT
cana-4627	51	40	and	and	CCONJ
cana-4627	51	41	is	be	AUX
cana-4627	51	42	the	the	DET
cana-4627	51	43	standard	standard	ADJ
cana-4627	51	44	deviation	deviation	NOUN
cana-4627	51	45	.	.	PUNCT
cana-4627	52	1	stratified	stratify	VERB
cana-4627	52	2	splitting	splitting	NOUN
cana-4627	52	3	ensures	ensure	VERB
cana-4627	52	4	that	that	SCONJ
cana-4627	52	5	the	the	DET
cana-4627	52	6	training	training	NOUN
cana-4627	52	7	and	and	CCONJ
cana-4627	52	8	testing	testing	NOUN
cana-4627	52	9	datasets	dataset	NOUN
cana-4627	52	10	maintain	maintain	VERB
cana-4627	52	11	balanced	balanced	ADJ
cana-4627	52	12	class	class	NOUN
cana-4627	52	13	distributions	distribution	NOUN
cana-4627	52	14	.	.	PUNCT
cana-4627	53	1	2	2	X
cana-4627	53	2	.	.	X
cana-4627	53	3	feature	feature	NOUN
cana-4627	53	4	selection	selection	NOUN
cana-4627	53	5	:	:	PUNCT
cana-4627	53	6	feature	feature	NOUN
cana-4627	53	7	selection	selection	NOUN
cana-4627	53	8	utilizes	utilize	VERB
cana-4627	53	9	random	random	ADJ
cana-4627	53	10	forest	forest	NOUN
cana-4627	53	11	importance	importance	NOUN
cana-4627	53	12	scores	score	NOUN
cana-4627	53	13	combined	combine	VERB
cana-4627	53	14	with	with	ADP
cana-4627	53	15	recursive	recursive	ADJ
cana-4627	53	16	feature	feature	NOUN
cana-4627	53	17	elimination	elimination	NOUN
cana-4627	53	18	(	(	PUNCT
cana-4627	53	19	rfe	rfe	NOUN
cana-4627	53	20	)	)	PUNCT
cana-4627	53	21	.	.	PUNCT
cana-4627	54	1	initially	initially	ADV
cana-4627	54	2	,	,	PUNCT
cana-4627	54	3	random	random	ADJ
cana-4627	54	4	forest	forest	NOUN
cana-4627	54	5	calculates	calculate	VERB
cana-4627	54	6	the	the	DET
cana-4627	54	7	feature	feature	NOUN
cana-4627	54	8	importance	importance	NOUN
cana-4627	54	9	scores	score	NOUN
cana-4627	54	10	:	:	PUNCT
cana-4627	54	11	where	where	SCONJ
cana-4627	54	12	denotes	denote	VERB
cana-4627	54	13	the	the	DET
cana-4627	54	14	importance	importance	NOUN
cana-4627	54	15	of	of	ADP
cana-4627	54	16	feature	feature	NOUN
cana-4627	54	17	,	,	PUNCT
cana-4627	54	18	and	and	CCONJ
cana-4627	54	19	is	be	AUX
cana-4627	54	20	the	the	DET
cana-4627	54	21	node	node	ADJ
cana-4627	54	22	importance	importance	NOUN
cana-4627	54	23	of	of	ADP
cana-4627	54	24	feature	feature	NOUN
cana-4627	54	25	in	in	ADP
cana-4627	54	26	tree	tree	NOUN
cana-4627	54	27	.	.	PUNCT
cana-4627	55	1	subsequently	subsequently	ADV
cana-4627	55	2	,	,	PUNCT
cana-4627	55	3	rfe	rfe	PROPN
cana-4627	55	4	iteratively	iteratively	ADV
cana-4627	55	5	eliminates	eliminate	VERB
cana-4627	55	6	the	the	DET
cana-4627	55	7	least	least	ADV
cana-4627	55	8	important	important	ADJ
cana-4627	55	9	features	feature	NOUN
cana-4627	55	10	,	,	PUNCT
cana-4627	55	11	refining	refine	VERB
cana-4627	55	12	the	the	DET
cana-4627	55	13	feature	feature	NOUN
cana-4627	55	14	subset	subset	VERB
cana-4627	55	15	until	until	SCONJ
cana-4627	55	16	an	an	DET
cana-4627	55	17	optimal	optimal	ADJ
cana-4627	55	18	dimension	dimension	NOUN
cana-4627	55	19	is	be	AUX
cana-4627	55	20	reached	reach	VERB
cana-4627	55	21	.	.	PUNCT
cana-4627	56	1	communications	communication	NOUN
cana-4627	56	2	on	on	ADP
cana-4627	56	3	applied	apply	VERB
cana-4627	56	4	nonlinear	nonlinear	ADJ
cana-4627	56	5	analysis	analysis	NOUN
cana-4627	56	6	issn	issn	NOUN
cana-4627	56	7	:	:	PUNCT
cana-4627	56	8	1074	1074	NUM
cana-4627	56	9	-	-	PUNCT
cana-4627	56	10	133x	133x	NUM
cana-4627	56	11	vol	vol	NOUN
cana-4627	56	12	32	32	NUM
cana-4627	56	13	no	no	NOUN
cana-4627	56	14	.	.	NOUN
cana-4627	56	15	3	3	NUM
cana-4627	56	16	(	(	PUNCT
cana-4627	56	17	2025	2025	NUM
cana-4627	56	18	)	)	PUNCT
cana-4627	56	19	869	869	NUM
cana-4627	56	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	56	21	3	3	X
cana-4627	56	22	.	.	PUNCT
cana-4627	56	23	base	base	NOUN
cana-4627	56	24	learners	learner	NOUN
cana-4627	56	25	:	:	PUNCT
cana-4627	56	26	the	the	DET
cana-4627	56	27	framework	framework	NOUN
cana-4627	56	28	incorporates	incorporate	VERB
cana-4627	56	29	five	five	NUM
cana-4627	56	30	diverse	diverse	ADJ
cana-4627	56	31	classifiers	classifier	NOUN
cana-4627	56	32	:	:	PUNCT
cana-4627	56	33	•	•	NUM
cana-4627	56	34	decision	decision	NOUN
cana-4627	56	35	trees	tree	NOUN
cana-4627	56	36	:	:	PUNCT
cana-4627	56	37	recursively	recursively	ADV
cana-4627	56	38	segment	segment	NOUN
cana-4627	56	39	data	datum	NOUN
cana-4627	56	40	to	to	PART
cana-4627	56	41	minimize	minimize	VERB
cana-4627	56	42	impurity	impurity	NOUN
cana-4627	56	43	using	use	VERB
cana-4627	56	44	the	the	DET
cana-4627	56	45	gini	gini	PROPN
cana-4627	56	46	index	index	PROPN
cana-4627	56	47	,	,	PUNCT
cana-4627	56	48	calculated	calculate	VERB
cana-4627	56	49	as	as	ADP
cana-4627	56	50	:	:	PUNCT
cana-4627	56	51	where	where	SCONJ
cana-4627	56	52	indicates	indicate	VERB
cana-4627	56	53	the	the	DET
cana-4627	56	54	class	class	NOUN
cana-4627	56	55	probability	probability	NOUN
cana-4627	56	56	.	.	PUNCT
cana-4627	57	1	•	•	NOUN
cana-4627	57	2	support	support	NOUN
cana-4627	57	3	vector	vector	NOUN
cana-4627	57	4	machines	machine	NOUN
cana-4627	57	5	(	(	PUNCT
cana-4627	57	6	svm	svm	PROPN
cana-4627	57	7	):	):	PUNCT
cana-4627	57	8	classify	classify	VERB
cana-4627	57	9	instances	instance	NOUN
cana-4627	57	10	by	by	ADP
cana-4627	57	11	finding	find	VERB
cana-4627	57	12	an	an	DET
cana-4627	57	13	optimal	optimal	ADJ
cana-4627	57	14	hyperplane	hyperplane	NOUN
cana-4627	57	15	that	that	PRON
cana-4627	57	16	maximizes	maximize	VERB
cana-4627	57	17	the	the	DET
cana-4627	57	18	margin	margin	NOUN
cana-4627	57	19	between	between	ADP
cana-4627	57	20	classes	class	NOUN
cana-4627	57	21	,	,	PUNCT
cana-4627	57	22	defined	define	VERB
cana-4627	57	23	mathematically	mathematically	ADV
cana-4627	57	24	as	as	ADP
cana-4627	57	25	:	:	PUNCT
cana-4627	57	26	•	•	NUM
cana-4627	57	27	naive	naive	ADJ
cana-4627	57	28	bayes	bayes	NOUN
cana-4627	57	29	:	:	PUNCT
cana-4627	57	30	applies	apply	VERB
cana-4627	57	31	bayes	bayes	PROPN
cana-4627	57	32	'	'	PART
cana-4627	57	33	theorem	theorem	NOUN
cana-4627	57	34	to	to	PART
cana-4627	57	35	calculate	calculate	VERB
cana-4627	57	36	class	class	NOUN
cana-4627	57	37	probabilities	probability	NOUN
cana-4627	57	38	under	under	ADP
cana-4627	57	39	feature	feature	NOUN
cana-4627	57	40	independence	independence	NOUN
cana-4627	57	41	assumptions	assumption	VERB
cana-4627	57	42	•	•	NOUN
cana-4627	57	43	k	k	X
cana-4627	57	44	-	-	PUNCT
cana-4627	57	45	nearest	near	ADJ
cana-4627	57	46	neighbors	neighbor	NOUN
cana-4627	57	47	(	(	PUNCT
cana-4627	57	48	knn	knn	PROPN
cana-4627	57	49	):	):	PUNCT
cana-4627	57	50	determines	determine	VERB
cana-4627	57	51	class	class	NOUN
cana-4627	57	52	membership	membership	NOUN
cana-4627	57	53	based	base	VERB
cana-4627	57	54	on	on	ADP
cana-4627	57	55	the	the	DET
cana-4627	57	56	majority	majority	NOUN
cana-4627	57	57	vote	vote	NOUN
cana-4627	57	58	of	of	ADP
cana-4627	57	59	nearest	near	ADJ
cana-4627	57	60	neighbors	neighbor	NOUN
cana-4627	57	61	,	,	PUNCT
cana-4627	57	62	calculated	calculate	VERB
cana-4627	57	63	by	by	ADP
cana-4627	57	64	euclidean	euclidean	ADJ
cana-4627	57	65	distance	distance	NOUN
cana-4627	57	66	:	:	PUNCT
cana-4627	57	67	•	•	NUM
cana-4627	57	68	logistic	logistic	ADJ
cana-4627	57	69	regression	regression	NOUN
cana-4627	57	70	:	:	PUNCT
cana-4627	57	71	estimates	estimate	VERB
cana-4627	57	72	binary	binary	ADJ
cana-4627	57	73	outcomes	outcome	NOUN
cana-4627	57	74	using	use	VERB
cana-4627	57	75	the	the	DET
cana-4627	57	76	logistic	logistic	ADJ
cana-4627	57	77	sigmoid	sigmoid	NOUN
cana-4627	57	78	function	function	NOUN
cana-4627	57	79	:	:	PUNCT
cana-4627	57	80	4	4	X
cana-4627	57	81	.	.	X
cana-4627	57	82	ensemble	ensemble	ADJ
cana-4627	57	83	techniques	technique	NOUN
cana-4627	57	84	:	:	PUNCT
cana-4627	57	85	the	the	DET
cana-4627	57	86	framework	framework	NOUN
cana-4627	57	87	integrates	integrate	VERB
cana-4627	57	88	two	two	NUM
cana-4627	57	89	ensemble	ensemble	ADJ
cana-4627	57	90	approaches	approach	NOUN
cana-4627	57	91	:	:	PUNCT
cana-4627	57	92	•	•	NUM
cana-4627	57	93	voting	voting	NOUN
cana-4627	57	94	:	:	PUNCT
cana-4627	57	95	generates	generate	VERB
cana-4627	57	96	predictions	prediction	NOUN
cana-4627	57	97	based	base	VERB
cana-4627	57	98	on	on	ADP
cana-4627	57	99	the	the	DET
cana-4627	57	100	majority	majority	NOUN
cana-4627	57	101	decision	decision	NOUN
cana-4627	57	102	among	among	ADP
cana-4627	57	103	individual	individual	ADJ
cana-4627	57	104	classifiers	classifier	NOUN
cana-4627	57	105	:	:	PUNCT
cana-4627	57	106	•	•	PUNCT
cana-4627	57	107	stacking	stacking	NOUN
cana-4627	57	108	:	:	PUNCT
cana-4627	57	109	employs	employ	VERB
cana-4627	57	110	a	a	DET
cana-4627	57	111	secondary	secondary	ADJ
cana-4627	57	112	(	(	PUNCT
cana-4627	57	113	meta	meta	X
cana-4627	57	114	)	)	PUNCT
cana-4627	57	115	classifier	classifier	NOUN
cana-4627	57	116	to	to	PART
cana-4627	57	117	effectively	effectively	ADV
cana-4627	57	118	combine	combine	VERB
cana-4627	57	119	base	base	PROPN
cana-4627	57	120	classifiers	classifier	NOUN
cana-4627	57	121	'	'	PART
cana-4627	57	122	predictions	prediction	NOUN
cana-4627	57	123	:	:	PUNCT
cana-4627	57	124	5	5	X
cana-4627	57	125	.	.	X
cana-4627	57	126	optimization	optimization	NOUN
cana-4627	57	127	(	(	PUNCT
cana-4627	57	128	novelty	novelty	NOUN
cana-4627	57	129	):	):	PUNCT
cana-4627	57	130	the	the	DET
cana-4627	57	131	grey	grey	ADJ
cana-4627	57	132	wolf	wolf	PROPN
cana-4627	57	133	optimization	optimization	NOUN
cana-4627	57	134	(	(	PUNCT
cana-4627	57	135	gwo	gwo	NOUN
cana-4627	57	136	)	)	PUNCT
cana-4627	57	137	algorithm	algorithm	NOUN
cana-4627	57	138	dynamically	dynamically	ADV
cana-4627	57	139	adjusts	adjust	VERB
cana-4627	57	140	ensemble	ensemble	ADJ
cana-4627	57	141	weights	weight	NOUN
cana-4627	57	142	.	.	PUNCT
cana-4627	58	1	gwo	gwo	PROPN
cana-4627	58	2	simulates	simulate	VERB
cana-4627	58	3	the	the	DET
cana-4627	58	4	natural	natural	ADJ
cana-4627	58	5	hunting	hunt	VERB
cana-4627	58	6	behavior	behavior	NOUN
cana-4627	58	7	of	of	ADP
cana-4627	58	8	wolves	wolf	NOUN
cana-4627	58	9	through	through	ADP
cana-4627	58	10	the	the	DET
cana-4627	58	11	following	follow	VERB
cana-4627	58	12	mathematical	mathematical	ADJ
cana-4627	58	13	relations	relation	NOUN
cana-4627	58	14	:	:	PUNCT
cana-4627	58	15	communications	communication	NOUN
cana-4627	58	16	on	on	ADP
cana-4627	58	17	applied	apply	VERB
cana-4627	58	18	nonlinear	nonlinear	ADJ
cana-4627	58	19	analysis	analysis	NOUN
cana-4627	58	20	issn	issn	NOUN
cana-4627	58	21	:	:	PUNCT
cana-4627	58	22	1074	1074	NUM
cana-4627	58	23	-	-	PUNCT
cana-4627	58	24	133x	133x	NUM
cana-4627	58	25	vol	vol	NOUN
cana-4627	58	26	32	32	NUM
cana-4627	59	1	no	no	NOUN
cana-4627	59	2	.	.	NOUN
cana-4627	59	3	3	3	NUM
cana-4627	59	4	(	(	PUNCT
cana-4627	59	5	2025	2025	NUM
cana-4627	59	6	)	)	PUNCT
cana-4627	59	7	870	870	NUM
cana-4627	60	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	60	2	here	here	ADV
cana-4627	60	3	,	,	PUNCT
cana-4627	60	4	denotes	denote	VERB
cana-4627	60	5	the	the	DET
cana-4627	60	6	best	good	ADJ
cana-4627	60	7	solution	solution	NOUN
cana-4627	60	8	positions	position	NOUN
cana-4627	60	9	,	,	PUNCT
cana-4627	60	10	represents	represent	VERB
cana-4627	60	11	wolf	wolf	NOUN
cana-4627	60	12	positions	position	NOUN
cana-4627	60	13	,	,	PUNCT
cana-4627	60	14	and	and	CCONJ
cana-4627	60	15	and	and	CCONJ
cana-4627	60	16	are	be	AUX
cana-4627	60	17	coefficient	coefficient	NOUN
cana-4627	60	18	vectors	vector	NOUN
cana-4627	60	19	defined	define	VERB
cana-4627	60	20	as	as	ADP
cana-4627	60	21	:	:	PUNCT
cana-4627	60	22	with	with	ADP
cana-4627	60	23	and	and	CCONJ
cana-4627	60	24	random	random	ADJ
cana-4627	60	25	vectors	vector	NOUN
cana-4627	60	26	,	,	PUNCT
cana-4627	60	27	and	and	CCONJ
cana-4627	60	28	decreasing	decrease	VERB
cana-4627	60	29	linearly	linearly	ADV
cana-4627	60	30	from	from	ADP
cana-4627	60	31	2	2	NUM
cana-4627	60	32	to	to	ADP
cana-4627	60	33	0	0	NUM
cana-4627	60	34	.	.	PUNCT
cana-4627	61	1	this	this	DET
cana-4627	61	2	adaptive	adaptive	ADJ
cana-4627	61	3	strategy	strategy	NOUN
cana-4627	61	4	optimizes	optimize	VERB
cana-4627	61	5	ensemble	ensemble	ADJ
cana-4627	61	6	classifier	classifier	NOUN
cana-4627	61	7	weights	weight	NOUN
cana-4627	61	8	,	,	PUNCT
cana-4627	61	9	thereby	thereby	ADV
cana-4627	61	10	enhancing	enhance	VERB
cana-4627	61	11	the	the	DET
cana-4627	61	12	predictive	predictive	ADJ
cana-4627	61	13	accuracy	accuracy	NOUN
cana-4627	61	14	and	and	CCONJ
cana-4627	61	15	generalization	generalization	NOUN
cana-4627	61	16	capability	capability	NOUN
cana-4627	61	17	.	.	PUNCT
cana-4627	62	1	proposed	propose	VERB
cana-4627	62	2	algorithm	algorithm	NOUN
cana-4627	62	3	1	1	NUM
cana-4627	62	4	.	.	PUNCT
cana-4627	62	5	initialize	initialize	VERB
cana-4627	62	6	dataset	dataset	NOUN
cana-4627	62	7	:	:	PUNCT
cana-4627	62	8	2	2	X
cana-4627	62	9	.	.	X
cana-4627	62	10	data	datum	NOUN
cana-4627	62	11	preprocessing	preprocessing	NOUN
cana-4627	62	12	:	:	PUNCT
cana-4627	62	13	3	3	X
cana-4627	62	14	.	.	X
cana-4627	62	15	one	one	NUM
cana-4627	62	16	-	-	PUNCT
cana-4627	62	17	hot	hot	ADJ
cana-4627	62	18	encoding	encoding	NOUN
cana-4627	62	19	:	:	PUNCT
cana-4627	62	20	4	4	X
cana-4627	62	21	.	.	X
cana-4627	62	22	normalization	normalization	NOUN
cana-4627	62	23	:	:	PUNCT
cana-4627	62	24	5	5	X
cana-4627	62	25	.	.	X
cana-4627	62	26	stratified	stratify	VERB
cana-4627	62	27	splitting	splitting	NOUN
cana-4627	62	28	:	:	PUNCT
cana-4627	62	29	6	6	NUM
cana-4627	62	30	.	.	PUNCT
cana-4627	62	31	feature	feature	NOUN
cana-4627	62	32	selection	selection	NOUN
cana-4627	62	33	:	:	PUNCT
cana-4627	62	34	7	7	X
cana-4627	62	35	.	.	NOUN
cana-4627	62	36	calculate	calculate	NOUN
cana-4627	62	37	importance	importance	NOUN
cana-4627	62	38	with	with	ADP
cana-4627	62	39	random	random	ADJ
cana-4627	62	40	forest	forest	NOUN
cana-4627	62	41	:	:	PUNCT
cana-4627	63	1	8	8	X
cana-4627	63	2	.	.	PUNCT
cana-4627	63	3	recursive	recursive	ADJ
cana-4627	63	4	feature	feature	NOUN
cana-4627	63	5	elimination	elimination	NOUN
cana-4627	63	6	(	(	PUNCT
cana-4627	63	7	rfe	rfe	NOUN
cana-4627	63	8	):	):	PUNCT
cana-4627	63	9	9	9	X
cana-4627	63	10	.	.	X
cana-4627	63	11	remove	remove	VERB
cana-4627	63	12	least	least	ADV
cana-4627	63	13	important	important	ADJ
cana-4627	63	14	feature	feature	NOUN
cana-4627	63	15	iteratively	iteratively	ADV
cana-4627	63	16	based	base	VERB
cana-4627	63	17	on	on	ADP
cana-4627	63	18	:	:	PUNCT
cana-4627	63	19	10	10	NUM
cana-4627	63	20	.	.	PUNCT
cana-4627	64	1	final	final	ADJ
cana-4627	64	2	optimal	optimal	ADJ
cana-4627	64	3	feature	feature	NOUN
cana-4627	64	4	set	set	NOUN
cana-4627	64	5	:	:	PUNCT
cana-4627	64	6	11	11	NUM
cana-4627	64	7	.	.	PUNCT
cana-4627	65	1	base	base	NOUN
cana-4627	65	2	learners	learner	NOUN
cana-4627	65	3	training	training	NOUN
cana-4627	65	4	:	:	PUNCT
cana-4627	65	5	12	12	NUM
cana-4627	65	6	.	.	PUNCT
cana-4627	65	7	decision	decision	NOUN
cana-4627	65	8	tree	tree	NOUN
cana-4627	65	9	(	(	PUNCT
cana-4627	65	10	dt	dt	NOUN
cana-4627	65	11	):	):	PUNCT
cana-4627	65	12	minimize	minimize	VERB
cana-4627	65	13	gini	gini	NOUN
cana-4627	65	14	index	index	NOUN
cana-4627	65	15	13	13	NUM
cana-4627	65	16	.	.	PUNCT
cana-4627	66	1	support	support	NOUN
cana-4627	66	2	vector	vector	NOUN
cana-4627	66	3	machine	machine	NOUN
cana-4627	66	4	(	(	PUNCT
cana-4627	66	5	svm	svm	PROPN
cana-4627	66	6	)	)	PUNCT
cana-4627	66	7	;	;	PUNCT
cana-4627	66	8	solve	solve	VERB
cana-4627	66	9	:	:	PUNCT
cana-4627	66	10	s.t	s.t	PROPN
cana-4627	66	11	.	.	PROPN
cana-4627	66	12	14	14	NUM
cana-4627	66	13	.	.	PUNCT
cana-4627	67	1	naive	naive	ADJ
cana-4627	67	2	bayes	bayes	NOUN
cana-4627	67	3	(	(	PUNCT
cana-4627	67	4	nb	nb	INTJ
cana-4627	67	5	):	):	PUNCT
cana-4627	67	6	15	15	NUM
cana-4627	67	7	.	.	PUNCT
cana-4627	68	1	k	k	X
cana-4627	68	2	-	-	PUNCT
cana-4627	68	3	nearest	near	ADJ
cana-4627	68	4	neighbors	neighbor	NOUN
cana-4627	68	5	(	(	PUNCT
cana-4627	68	6	knn	knn	PROPN
cana-4627	68	7	):	):	PUNCT
cana-4627	68	8	majority	majority	NOUN
cana-4627	68	9	vote	vote	NOUN
cana-4627	68	10	16	16	NUM
cana-4627	68	11	.	.	PUNCT
cana-4627	69	1	logistic	logistic	ADJ
cana-4627	69	2	regression	regression	NOUN
cana-4627	69	3	(	(	PUNCT
cana-4627	69	4	lr	lr	NOUN
cana-4627	69	5	):	):	PUNCT
cana-4627	69	6	17	17	NUM
cana-4627	69	7	.	.	PUNCT
cana-4627	70	1	ensemble	ensemble	ADJ
cana-4627	70	2	techniques	technique	NOUN
cana-4627	70	3	:	:	PUNCT
cana-4627	70	4	18	18	NUM
cana-4627	70	5	.	.	X
cana-4627	71	1	voting	voting	NOUN
cana-4627	71	2	:	:	PUNCT
cana-4627	72	1	19	19	NUM
cana-4627	72	2	.	.	X
cana-4627	73	1	stacking	stacking	NOUN
cana-4627	73	2	:	:	PUNCT
cana-4627	73	3	20	20	NUM
cana-4627	73	4	.	.	PUNCT
cana-4627	74	1	ensemble	ensemble	ADJ
cana-4627	74	2	techniques	technique	NOUN
cana-4627	74	3	:	:	PUNCT
cana-4627	74	4	21	21	NUM
cana-4627	74	5	.	.	X
cana-4627	75	1	voting	voting	NOUN
cana-4627	75	2	:	:	PUNCT
cana-4627	76	1	22	22	NUM
cana-4627	76	2	.	.	PUNCT
cana-4627	77	1	stacking	stack	VERB
cana-4627	77	2	:	:	PUNCT
cana-4627	77	3	23	23	NUM
cana-4627	77	4	.	.	PUNCT
cana-4627	78	1	grey	grey	PROPN
cana-4627	78	2	wolf	wolf	PROPN
cana-4627	78	3	optimization	optimization	NOUN
cana-4627	78	4	(	(	PUNCT
cana-4627	78	5	gwo	gwo	PROPN
cana-4627	78	6	)	)	PUNCT
cana-4627	78	7	for	for	ADP
cana-4627	78	8	ensemble	ensemble	ADJ
cana-4627	78	9	weights	weight	NOUN
cana-4627	78	10	:	:	PUNCT
cana-4627	78	11	24	24	NUM
cana-4627	78	12	.	.	PUNCT
cana-4627	78	13	initialize	initialize	VERB
cana-4627	78	14	weights	weight	NOUN
cana-4627	78	15	(	(	PUNCT
cana-4627	78	16	wolves	wolf	NOUN
cana-4627	78	17	):	):	PUNCT
cana-4627	78	18	25	25	NUM
cana-4627	78	19	.	.	PUNCT
cana-4627	79	1	update	update	VERB
cana-4627	79	2	weights	weight	NOUN
cana-4627	79	3	iteratively	iteratively	ADV
cana-4627	79	4	:	:	PUNCT
cana-4627	79	5	26	26	NUM
cana-4627	79	6	.	.	X
cana-4627	79	7	27	27	NUM
cana-4627	79	8	.	.	PUNCT
cana-4627	80	1	communications	communication	NOUN
cana-4627	80	2	on	on	ADP
cana-4627	80	3	applied	apply	VERB
cana-4627	80	4	nonlinear	nonlinear	ADJ
cana-4627	80	5	analysis	analysis	NOUN
cana-4627	80	6	issn	issn	NOUN
cana-4627	80	7	:	:	PUNCT
cana-4627	80	8	1074	1074	NUM
cana-4627	80	9	-	-	PUNCT
cana-4627	80	10	133x	133x	NUM
cana-4627	80	11	vol	vol	NOUN
cana-4627	80	12	32	32	NUM
cana-4627	80	13	no	no	NOUN
cana-4627	80	14	.	.	NOUN
cana-4627	80	15	3	3	NUM
cana-4627	80	16	(	(	PUNCT
cana-4627	80	17	2025	2025	NUM
cana-4627	80	18	)	)	PUNCT
cana-4627	80	19	871	871	NUM
cana-4627	81	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	81	2	28	28	NUM
cana-4627	81	3	.	.	PUNCT
cana-4627	82	1	optimal	optimal	ADJ
cana-4627	82	2	weights	weight	NOUN
cana-4627	82	3	:	:	PUNCT
cana-4627	82	4	maximizing	maximize	VERB
cana-4627	82	5	ensemble	ensemble	ADJ
cana-4627	82	6	accuracy	accuracy	NOUN
cana-4627	82	7	29	29	NUM
cana-4627	82	8	.	.	PUNCT
cana-4627	82	9	evaluate	evaluate	VERB
cana-4627	82	10	performance	performance	NOUN
cana-4627	82	11	metrics	metric	NOUN
cana-4627	82	12	:	:	PUNCT
cana-4627	82	13	30	30	NUM
cana-4627	82	14	.	.	X
cana-4627	82	15	compute	compute	NOUN
cana-4627	82	16	:	:	PUNCT
cana-4627	82	17	precision	precision	NOUN
cana-4627	82	18	,	,	PUNCT
cana-4627	82	19	recall	recall	NOUN
cana-4627	82	20	,	,	PUNCT
cana-4627	82	21	f1	f1	NOUN
cana-4627	82	22	-	-	PUNCT
cana-4627	82	23	score	score	NOUN
cana-4627	82	24	,	,	PUNCT
cana-4627	82	25	roc	roc	NOUN
cana-4627	82	26	,	,	PUNCT
cana-4627	82	27	accuracy	accuracy	NOUN
cana-4627	82	28	on	on	ADP
cana-4627	82	29	with	with	ADP
cana-4627	82	30	optimized	optimize	VERB
cana-4627	82	31	ensemble	ensemble	ADJ
cana-4627	82	32	predictions	prediction	NOUN
cana-4627	82	33	.	.	PUNCT
cana-4627	83	1	end	end	NOUN
cana-4627	83	2	algorithm	algorithm	NOUN
cana-4627	83	3	figure	figure	NOUN
cana-4627	83	4	2	2	NUM
cana-4627	83	5	.	.	PUNCT
cana-4627	83	6	proposed	propose	VERB
cana-4627	83	7	architecture	architecture	NOUN
cana-4627	83	8	figure	figure	NOUN
cana-4627	83	9	3	3	NUM
cana-4627	83	10	.	.	PUNCT
cana-4627	84	1	the	the	DET
cana-4627	84	2	features	feature	VERB
cana-4627	84	3	importance	importance	NOUN
cana-4627	84	4	communications	communication	NOUN
cana-4627	84	5	on	on	ADP
cana-4627	84	6	applied	apply	VERB
cana-4627	84	7	nonlinear	nonlinear	ADJ
cana-4627	84	8	analysis	analysis	NOUN
cana-4627	84	9	issn	issn	NOUN
cana-4627	84	10	:	:	PUNCT
cana-4627	84	11	1074	1074	NUM
cana-4627	84	12	-	-	PUNCT
cana-4627	84	13	133x	133x	NUM
cana-4627	84	14	vol	vol	NOUN
cana-4627	84	15	32	32	NUM
cana-4627	84	16	no	no	NOUN
cana-4627	84	17	.	.	NOUN
cana-4627	84	18	3	3	NUM
cana-4627	84	19	(	(	PUNCT
cana-4627	84	20	2025	2025	NUM
cana-4627	84	21	)	)	PUNCT
cana-4627	84	22	872	872	NUM
cana-4627	85	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	85	2	4	4	NUM
cana-4627	85	3	.	.	PUNCT
cana-4627	85	4	experimental	experimental	ADJ
cana-4627	85	5	evaluation	evaluation	NOUN
cana-4627	85	6	:	:	PUNCT
cana-4627	85	7	performance	performance	NOUN
cana-4627	85	8	metrics	metric	NOUN
cana-4627	85	9	:	:	PUNCT
cana-4627	85	10	for	for	ADP
cana-4627	85	11	assessing	assess	VERB
cana-4627	85	12	the	the	DET
cana-4627	85	13	overall	overall	ADJ
cana-4627	85	14	effectiveness	effectiveness	NOUN
cana-4627	85	15	of	of	ADP
cana-4627	85	16	the	the	DET
cana-4627	85	17	suggested	suggest	VERB
cana-4627	85	18	intrusion	intrusion	NOUN
cana-4627	85	19	detection	detection	NOUN
cana-4627	85	20	model	model	NOUN
cana-4627	85	21	,	,	PUNCT
cana-4627	85	22	a	a	DET
cana-4627	85	23	variety	variety	NOUN
cana-4627	85	24	of	of	ADP
cana-4627	85	25	performance	performance	NOUN
cana-4627	85	26	metrics	metric	NOUN
cana-4627	85	27	were	be	AUX
cana-4627	85	28	chosen	choose	VERB
cana-4627	85	29	,	,	PUNCT
cana-4627	85	30	such	such	ADJ
cana-4627	85	31	as	as	ADP
cana-4627	85	32	precision	precision	NOUN
cana-4627	85	33	,	,	PUNCT
cana-4627	85	34	recall	recall	NOUN
cana-4627	85	35	,	,	PUNCT
cana-4627	85	36	f1	f1	NOUN
cana-4627	85	37	-	-	PUNCT
cana-4627	85	38	score	score	NOUN
cana-4627	85	39	,	,	PUNCT
cana-4627	85	40	confusion	confusion	NOUN
cana-4627	85	41	matrix	matrix	NOUN
cana-4627	85	42	,	,	PUNCT
cana-4627	85	43	receiver	receiver	NOUN
cana-4627	85	44	operating	operate	VERB
cana-4627	85	45	characteristic	characteristic	NOUN
cana-4627	85	46	(	(	PUNCT
cana-4627	85	47	roc	roc	PROPN
cana-4627	85	48	)	)	PUNCT
cana-4627	85	49	curve	curve	NOUN
cana-4627	85	50	,	,	PUNCT
cana-4627	85	51	and	and	CCONJ
cana-4627	85	52	area	area	NOUN
cana-4627	85	53	under	under	ADP
cana-4627	85	54	the	the	DET
cana-4627	85	55	curve	curve	NOUN
cana-4627	85	56	(	(	PUNCT
cana-4627	85	57	auc	auc	NOUN
cana-4627	85	58	)	)	PUNCT
cana-4627	85	59	.	.	PUNCT
cana-4627	86	1	these	these	DET
cana-4627	86	2	metrics	metric	NOUN
cana-4627	86	3	provide	provide	VERB
cana-4627	86	4	an	an	DET
cana-4627	86	5	in	in	ADP
cana-4627	86	6	-	-	PUNCT
cana-4627	86	7	depth	depth	NOUN
cana-4627	86	8	analysis	analysis	NOUN
cana-4627	86	9	of	of	ADP
cana-4627	86	10	how	how	SCONJ
cana-4627	86	11	well	well	ADV
cana-4627	86	12	the	the	DET
cana-4627	86	13	model	model	NOUN
cana-4627	86	14	performs	perform	VERB
cana-4627	86	15	by	by	ADP
cana-4627	86	16	targeting	target	VERB
cana-4627	86	17	accuracy	accuracy	NOUN
cana-4627	86	18	,	,	PUNCT
cana-4627	86	19	dependability	dependability	NOUN
cana-4627	86	20	,	,	PUNCT
cana-4627	86	21	and	and	CCONJ
cana-4627	86	22	overall	overall	ADJ
cana-4627	86	23	predictive	predictive	ADJ
cana-4627	86	24	capacity	capacity	NOUN
cana-4627	86	25	.	.	PUNCT
cana-4627	87	1	•	•	NUM
cana-4627	87	2	precision	precision	NOUN
cana-4627	87	3	estimates	estimate	VERB
cana-4627	87	4	the	the	DET
cana-4627	87	5	ratio	ratio	NOUN
cana-4627	87	6	of	of	ADP
cana-4627	87	7	accurate	accurate	ADJ
cana-4627	87	8	intrusion	intrusion	NOUN
cana-4627	87	9	detection	detection	NOUN
cana-4627	87	10	to	to	ADP
cana-4627	87	11	all	all	PRON
cana-4627	87	12	of	of	ADP
cana-4627	87	13	the	the	DET
cana-4627	87	14	detections	detection	NOUN
cana-4627	87	15	:	:	PUNCT
cana-4627	87	16	•	•	NUM
cana-4627	87	17	recall	recall	NOUN
cana-4627	87	18	estimates	estimate	VERB
cana-4627	87	19	the	the	DET
cana-4627	87	20	model	model	NOUN
cana-4627	87	21	's	's	PART
cana-4627	87	22	ability	ability	NOUN
cana-4627	87	23	to	to	PART
cana-4627	87	24	identify	identify	VERB
cana-4627	87	25	true	true	ADJ
cana-4627	87	26	intrusion	intrusion	NOUN
cana-4627	87	27	events	event	NOUN
cana-4627	87	28	well	well	ADV
cana-4627	87	29	:	:	PUNCT
cana-4627	87	30	•	•	NUM
cana-4627	87	31	f1	f1	NOUN
cana-4627	87	32	-	-	PUNCT
cana-4627	87	33	score	score	NOUN
cana-4627	87	34	provides	provide	VERB
cana-4627	87	35	a	a	DET
cana-4627	87	36	balanced	balanced	ADJ
cana-4627	87	37	estimate	estimate	NOUN
cana-4627	87	38	of	of	ADP
cana-4627	87	39	precision	precision	NOUN
cana-4627	87	40	and	and	CCONJ
cana-4627	87	41	recall	recall	NOUN
cana-4627	87	42	,	,	PUNCT
cana-4627	87	43	computed	compute	VERB
cana-4627	87	44	as	as	ADP
cana-4627	87	45	:	:	PUNCT
cana-4627	87	46	•	•	NUM
cana-4627	87	47	confusion	confusion	NOUN
cana-4627	87	48	matrix	matrix	NOUN
cana-4627	87	49	gives	give	VERB
cana-4627	87	50	precise	precise	ADJ
cana-4627	87	51	information	information	NOUN
cana-4627	87	52	about	about	ADP
cana-4627	87	53	true	true	ADJ
cana-4627	87	54	positives	positive	NOUN
cana-4627	87	55	,	,	PUNCT
cana-4627	87	56	false	false	ADJ
cana-4627	87	57	positives	positive	NOUN
cana-4627	87	58	,	,	PUNCT
cana-4627	87	59	true	true	ADJ
cana-4627	87	60	negatives	negative	NOUN
cana-4627	87	61	,	,	PUNCT
cana-4627	87	62	and	and	CCONJ
cana-4627	87	63	false	false	ADJ
cana-4627	87	64	negatives	negative	NOUN
cana-4627	87	65	.	.	PUNCT
cana-4627	88	1	•	•	NUM
cana-4627	88	2	roc	roc	PROPN
cana-4627	88	3	curve	curve	NOUN
cana-4627	88	4	and	and	CCONJ
cana-4627	88	5	auc	auc	NOUN
cana-4627	88	6	assess	assess	VERB
cana-4627	88	7	the	the	DET
cana-4627	88	8	model	model	NOUN
cana-4627	88	9	's	's	PART
cana-4627	88	10	capability	capability	NOUN
cana-4627	88	11	to	to	PART
cana-4627	88	12	separate	separate	VERB
cana-4627	88	13	various	various	ADJ
cana-4627	88	14	classes	class	NOUN
cana-4627	88	15	at	at	ADP
cana-4627	88	16	different	different	ADJ
cana-4627	88	17	thresholds	threshold	NOUN
cana-4627	88	18	,	,	PUNCT
cana-4627	88	19	providing	provide	VERB
cana-4627	88	20	a	a	DET
cana-4627	88	21	summary	summary	NOUN
cana-4627	88	22	of	of	ADP
cana-4627	88	23	overall	overall	ADJ
cana-4627	88	24	performance	performance	NOUN
cana-4627	88	25	.	.	PUNCT
cana-4627	89	1	experimental	experimental	ADJ
cana-4627	89	2	setup	setup	NOUN
cana-4627	89	3	:	:	PUNCT
cana-4627	89	4	an	an	DET
cana-4627	89	5	in	in	ADP
cana-4627	89	6	-	-	PUNCT
cana-4627	89	7	depth	depth	NOUN
cana-4627	89	8	experimental	experimental	ADJ
cana-4627	89	9	setup	setup	NOUN
cana-4627	89	10	was	be	AUX
cana-4627	89	11	devised	devise	VERB
cana-4627	89	12	,	,	PUNCT
cana-4627	89	13	involving	involve	VERB
cana-4627	89	14	thorough	thorough	ADJ
cana-4627	89	15	hyperparameter	hyperparameter	NOUN
cana-4627	89	16	optimization	optimization	NOUN
cana-4627	89	17	for	for	ADP
cana-4627	89	18	every	every	DET
cana-4627	89	19	base	base	NOUN
cana-4627	89	20	classifier	classifier	NOUN
cana-4627	89	21	(	(	PUNCT
cana-4627	89	22	decision	decision	NOUN
cana-4627	89	23	trees	tree	NOUN
cana-4627	89	24	,	,	PUNCT
cana-4627	89	25	support	support	NOUN
cana-4627	89	26	vector	vector	NOUN
cana-4627	89	27	machines	machine	NOUN
cana-4627	89	28	,	,	PUNCT
cana-4627	89	29	naive	naive	ADJ
cana-4627	89	30	bayes	bayes	NOUN
cana-4627	89	31	,	,	PUNCT
cana-4627	89	32	k	k	NOUN
cana-4627	89	33	-	-	PUNCT
cana-4627	89	34	nearest	near	ADJ
cana-4627	89	35	neighbors	neighbor	NOUN
cana-4627	89	36	,	,	PUNCT
cana-4627	89	37	logistic	logistic	ADJ
cana-4627	89	38	regression	regression	NOUN
cana-4627	89	39	)	)	PUNCT
cana-4627	89	40	via	via	ADP
cana-4627	89	41	cross	cross	NOUN
cana-4627	89	42	-	-	NOUN
cana-4627	89	43	validation	validation	NOUN
cana-4627	89	44	.	.	PUNCT
cana-4627	90	1	subsequently	subsequently	ADV
cana-4627	90	2	,	,	PUNCT
cana-4627	90	3	the	the	DET
cana-4627	90	4	grey	grey	ADJ
cana-4627	90	5	wolf	wolf	PROPN
cana-4627	90	6	optimization	optimization	NOUN
cana-4627	90	7	(	(	PUNCT
cana-4627	90	8	gwo	gwo	NOUN
cana-4627	90	9	)	)	PUNCT
cana-4627	90	10	algorithm	algorithm	NOUN
cana-4627	90	11	was	be	AUX
cana-4627	90	12	used	use	VERB
cana-4627	90	13	to	to	PART
cana-4627	90	14	find	find	VERB
cana-4627	90	15	optimal	optimal	ADJ
cana-4627	90	16	ensemble	ensemble	ADJ
cana-4627	90	17	weight	weight	NOUN
cana-4627	90	18	settings	setting	NOUN
cana-4627	90	19	,	,	PUNCT
cana-4627	90	20	greatly	greatly	ADV
cana-4627	90	21	improving	improve	VERB
cana-4627	90	22	model	model	NOUN
cana-4627	90	23	accuracy	accuracy	NOUN
cana-4627	90	24	and	and	CCONJ
cana-4627	90	25	stability	stability	NOUN
cana-4627	90	26	.	.	PUNCT
cana-4627	91	1	5	5	X
cana-4627	91	2	.	.	X
cana-4627	91	3	results	result	NOUN
cana-4627	91	4	and	and	CCONJ
cana-4627	91	5	discussion	discussion	NOUN
cana-4627	91	6	:	:	PUNCT
cana-4627	91	7	comprehensive	comprehensive	ADJ
cana-4627	91	8	testing	testing	NOUN
cana-4627	91	9	illustrated	illustrate	VERB
cana-4627	91	10	substantial	substantial	ADJ
cana-4627	91	11	performance	performance	NOUN
cana-4627	91	12	enhancements	enhancement	NOUN
cana-4627	91	13	in	in	ADP
cana-4627	91	14	the	the	DET
cana-4627	91	15	ensemble	ensemble	ADJ
cana-4627	91	16	methods	method	NOUN
cana-4627	91	17	compared	compare	VERB
cana-4627	91	18	to	to	ADP
cana-4627	91	19	single	single	ADJ
cana-4627	91	20	classifiers	classifier	NOUN
cana-4627	91	21	.	.	PUNCT
cana-4627	92	1	the	the	DET
cana-4627	92	2	detailed	detailed	ADJ
cana-4627	92	3	performance	performance	NOUN
cana-4627	92	4	data	datum	NOUN
cana-4627	92	5	are	be	AUX
cana-4627	92	6	provided	provide	VERB
cana-4627	92	7	in	in	ADP
cana-4627	92	8	the	the	DET
cana-4627	92	9	following	follow	VERB
cana-4627	92	10	tables	table	NOUN
cana-4627	92	11	:	:	PUNCT
cana-4627	92	12	table	table	NOUN
cana-4627	92	13	2	2	NUM
cana-4627	92	14	:	:	PUNCT
cana-4627	92	15	individual	individual	ADJ
cana-4627	92	16	classifier	classifier	NOUN
cana-4627	92	17	performance	performance	NOUN
cana-4627	92	18	classifier	classifier	NOUN
cana-4627	92	19	precision	precision	NOUN
cana-4627	92	20	(	(	PUNCT
cana-4627	92	21	%	%	INTJ
cana-4627	92	22	)	)	PUNCT
cana-4627	92	23	recall	recall	NOUN
cana-4627	92	24	(	(	PUNCT
cana-4627	92	25	%	%	NOUN
cana-4627	92	26	)	)	PUNCT
cana-4627	92	27	f1	f1	NOUN
cana-4627	92	28	-	-	PUNCT
cana-4627	92	29	score	score	NOUN
cana-4627	92	30	(	(	PUNCT
cana-4627	92	31	%	%	INTJ
cana-4627	92	32	)	)	PUNCT
cana-4627	92	33	auc	auc	NOUN
cana-4627	92	34	(	(	PUNCT
cana-4627	92	35	%	%	INTJ
cana-4627	92	36	)	)	PUNCT
cana-4627	92	37	decision	decision	NOUN
cana-4627	92	38	tree	tree	NOUN
cana-4627	92	39	93.7	93.7	NUM
cana-4627	92	40	92.3	92.3	NUM
cana-4627	92	41	93.0	93.0	NUM
cana-4627	92	42	94.8	94.8	NUM
cana-4627	92	43	svm	svm	NOUN
cana-4627	92	44	90.3	90.3	NUM
cana-4627	92	45	89.1	89.1	NUM
cana-4627	92	46	89.7	89.7	NUM
cana-4627	92	47	92.5	92.5	NUM
cana-4627	92	48	naive	naive	ADJ
cana-4627	92	49	bayes	bayes	NOUN
cana-4627	92	50	85.8	85.8	NUM
cana-4627	92	51	84.3	84.3	NUM
cana-4627	92	52	85.0	85.0	NUM
cana-4627	92	53	87.7	87.7	NUM
cana-4627	92	54	k	k	ADV
cana-4627	92	55	-	-	PUNCT
cana-4627	92	56	nearest	near	ADJ
cana-4627	92	57	neighbors	neighbor	NOUN
cana-4627	92	58	93.1	93.1	NUM
cana-4627	92	59	91.3	91.3	NUM
cana-4627	92	60	92.2	92.2	NUM
cana-4627	92	61	94.3	94.3	NUM
cana-4627	92	62	logistic	logistic	ADJ
cana-4627	92	63	regression	regression	NOUN
cana-4627	92	64	88.4	88.4	NUM
cana-4627	92	65	86.9	86.9	NUM
cana-4627	92	66	87.6	87.6	NUM
cana-4627	92	67	90.1	90.1	NUM
cana-4627	92	68	the	the	DET
cana-4627	92	69	ensemble	ensemble	ADJ
cana-4627	92	70	approaches	approach	NOUN
cana-4627	92	71	demonstrated	demonstrate	VERB
cana-4627	92	72	remarkable	remarkable	ADJ
cana-4627	92	73	performance	performance	NOUN
cana-4627	92	74	enhancements	enhancement	NOUN
cana-4627	92	75	:	:	PUNCT
cana-4627	92	76	communications	communication	NOUN
cana-4627	92	77	on	on	ADP
cana-4627	92	78	applied	apply	VERB
cana-4627	92	79	nonlinear	nonlinear	ADJ
cana-4627	92	80	analysis	analysis	NOUN
cana-4627	92	81	issn	issn	NOUN
cana-4627	92	82	:	:	PUNCT
cana-4627	92	83	1074	1074	NUM
cana-4627	92	84	-	-	PUNCT
cana-4627	92	85	133x	133x	NUM
cana-4627	92	86	vol	vol	NOUN
cana-4627	92	87	32	32	NUM
cana-4627	92	88	no	no	NOUN
cana-4627	92	89	.	.	NOUN
cana-4627	92	90	3	3	NUM
cana-4627	92	91	(	(	PUNCT
cana-4627	92	92	2025	2025	NUM
cana-4627	92	93	)	)	PUNCT
cana-4627	92	94	873	873	NUM
cana-4627	92	95	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	92	96	table	table	NOUN
cana-4627	92	97	3	3	NUM
cana-4627	92	98	:	:	PUNCT
cana-4627	92	99	performance	performance	NOUN
cana-4627	92	100	of	of	ADP
cana-4627	92	101	ensemble	ensemble	ADJ
cana-4627	92	102	models	model	NOUN
cana-4627	92	103	ensemble	ensemble	ADJ
cana-4627	92	104	method	method	NOUN
cana-4627	92	105	precision	precision	NOUN
cana-4627	92	106	(	(	PUNCT
cana-4627	92	107	%	%	INTJ
cana-4627	92	108	)	)	PUNCT
cana-4627	92	109	recall	recall	NOUN
cana-4627	92	110	(	(	PUNCT
cana-4627	92	111	%	%	NOUN
cana-4627	92	112	)	)	PUNCT
cana-4627	92	113	f1	f1	NOUN
cana-4627	92	114	-	-	PUNCT
cana-4627	92	115	score	score	NOUN
cana-4627	92	116	(	(	PUNCT
cana-4627	92	117	%	%	INTJ
cana-4627	92	118	)	)	PUNCT
cana-4627	92	119	auc	auc	NOUN
cana-4627	92	120	(	(	PUNCT
cana-4627	92	121	%	%	INTJ
cana-4627	92	122	)	)	PUNCT
cana-4627	92	123	voting	vote	VERB
cana-4627	93	1	ensemble	ensemble	ADJ
cana-4627	93	2	95.2	95.2	NUM
cana-4627	93	3	93.7	93.7	NUM
cana-4627	93	4	94.4	94.4	NUM
cana-4627	93	5	96.1	96.1	NUM
cana-4627	93	6	stacking	stacking	NOUN
cana-4627	93	7	ensemble	ensemble	ADJ
cana-4627	93	8	(	(	PUNCT
cana-4627	93	9	dt	dt	PROPN
cana-4627	93	10	-	-	PUNCT
cana-4627	93	11	knn	knn	VERB
cana-4627	93	12	)	)	PUNCT
cana-4627	93	13	98.1	98.1	NUM
cana-4627	93	14	98.9	98.9	NUM
cana-4627	93	15	98.5	98.5	NUM
cana-4627	93	16	99.2	99.2	NUM
cana-4627	94	1	specifically	specifically	ADV
cana-4627	94	2	,	,	PUNCT
cana-4627	94	3	the	the	DET
cana-4627	94	4	stacking	stack	VERB
cana-4627	94	5	ensemble	ensemble	ADJ
cana-4627	94	6	comprising	comprising	NOUN
cana-4627	94	7	decision	decision	NOUN
cana-4627	94	8	trees	tree	NOUN
cana-4627	94	9	and	and	CCONJ
cana-4627	94	10	k	k	NOUN
cana-4627	94	11	-	-	PUNCT
cana-4627	94	12	nearest	near	ADJ
cana-4627	94	13	neighbors	neighbor	NOUN
cana-4627	94	14	showed	show	VERB
cana-4627	94	15	exceptional	exceptional	ADJ
cana-4627	94	16	accuracy	accuracy	NOUN
cana-4627	94	17	,	,	PUNCT
cana-4627	94	18	as	as	SCONJ
cana-4627	94	19	indicated	indicate	VERB
cana-4627	94	20	by	by	ADP
cana-4627	94	21	the	the	DET
cana-4627	94	22	confusion	confusion	NOUN
cana-4627	94	23	matrix	matrix	NOUN
cana-4627	94	24	:	:	PUNCT
cana-4627	94	25	table	table	NOUN
cana-4627	94	26	4	4	NUM
cana-4627	94	27	:	:	PUNCT
cana-4627	94	28	confusion	confusion	NOUN
cana-4627	94	29	matrix	matrix	NOUN
cana-4627	94	30	(	(	PUNCT
cana-4627	94	31	stacking	stack	VERB
cana-4627	94	32	dt	dt	PROPN
cana-4627	94	33	-	-	PUNCT
cana-4627	94	34	knn	knn	PROPN
cana-4627	94	35	)	)	PUNCT
cana-4627	94	36	actual	actual	ADJ
cana-4627	94	37	vs.	vs.	CCONJ
cana-4627	94	38	predicted	predict	VERB
cana-4627	94	39	normal	normal	ADJ
cana-4627	94	40	intrusion	intrusion	NOUN
cana-4627	94	41	normal	normal	ADJ
cana-4627	94	42	9705	9705	NUM
cana-4627	94	43	295	295	NUM
cana-4627	94	44	intrusion	intrusion	NOUN
cana-4627	94	45	105	105	NUM
cana-4627	94	46	9895	9895	NUM
cana-4627	94	47	roc	roc	PROPN
cana-4627	94	48	curve	curve	NOUN
cana-4627	94	49	analyses	analysis	NOUN
cana-4627	94	50	reinforced	reinforce	VERB
cana-4627	94	51	the	the	DET
cana-4627	94	52	ensemble	ensemble	ADJ
cana-4627	94	53	’s	’s	PART
cana-4627	94	54	excellent	excellent	ADJ
cana-4627	94	55	predictive	predictive	ADJ
cana-4627	94	56	capability	capability	NOUN
cana-4627	94	57	,	,	PUNCT
cana-4627	94	58	with	with	ADP
cana-4627	94	59	an	an	DET
cana-4627	94	60	impressive	impressive	ADJ
cana-4627	94	61	auc	auc	NOUN
cana-4627	94	62	of	of	ADP
cana-4627	94	63	99.2	99.2	NUM
cana-4627	94	64	%	%	NOUN
cana-4627	94	65	,	,	PUNCT
cana-4627	94	66	signifying	signify	VERB
cana-4627	94	67	strong	strong	ADJ
cana-4627	94	68	discriminatory	discriminatory	ADJ
cana-4627	94	69	power	power	NOUN
cana-4627	94	70	:	:	PUNCT
cana-4627	94	71	table	table	NOUN
cana-4627	94	72	5	5	NUM
cana-4627	94	73	:	:	PUNCT
cana-4627	94	74	roc	roc	NOUN
cana-4627	94	75	-	-	PUNCT
cana-4627	94	76	auc	auc	NOUN
cana-4627	94	77	summary	summary	NOUN
cana-4627	94	78	method	method	NOUN
cana-4627	94	79	roc	roc	NOUN
cana-4627	94	80	-	-	PUNCT
cana-4627	94	81	auc	auc	NOUN
cana-4627	94	82	(	(	PUNCT
cana-4627	94	83	%	%	INTJ
cana-4627	94	84	)	)	PUNCT
cana-4627	94	85	decision	decision	NOUN
cana-4627	94	86	tree	tree	NOUN
cana-4627	94	87	94.8	94.8	NUM
cana-4627	94	88	svm	svm	NOUN
cana-4627	94	89	92.5	92.5	NUM
cana-4627	94	90	naive	naive	ADJ
cana-4627	94	91	bayes	bayes	NOUN
cana-4627	94	92	87.7	87.7	NUM
cana-4627	94	93	k	k	ADV
cana-4627	94	94	-	-	PUNCT
cana-4627	94	95	nearest	near	ADJ
cana-4627	94	96	neighbors	neighbor	NOUN
cana-4627	94	97	94.3	94.3	NUM
cana-4627	94	98	logistic	logistic	ADJ
cana-4627	94	99	regression	regression	NOUN
cana-4627	94	100	90.1	90.1	NUM
cana-4627	94	101	voting	voting	NOUN
cana-4627	94	102	ensemble	ensemble	ADJ
cana-4627	94	103	96.1	96.1	NUM
cana-4627	94	104	stacking	stacking	NOUN
cana-4627	94	105	ensemble	ensemble	ADJ
cana-4627	94	106	(	(	PUNCT
cana-4627	94	107	dt	dt	PROPN
cana-4627	94	108	-	-	PUNCT
cana-4627	94	109	knn	knn	VERB
cana-4627	94	110	)	)	PUNCT
cana-4627	94	111	99.2	99.2	NUM
cana-4627	94	112	6	6	NUM
cana-4627	94	113	.	.	PUNCT
cana-4627	95	1	comparative	comparative	ADJ
cana-4627	95	2	analysis	analysis	NOUN
cana-4627	95	3	:	:	PUNCT
cana-4627	95	4	a	a	DET
cana-4627	95	5	detailed	detailed	ADJ
cana-4627	95	6	comparative	comparative	ADJ
cana-4627	95	7	study	study	NOUN
cana-4627	95	8	was	be	AUX
cana-4627	95	9	conducted	conduct	VERB
cana-4627	95	10	against	against	ADP
cana-4627	95	11	leading	lead	VERB
cana-4627	95	12	intrusion	intrusion	NOUN
cana-4627	95	13	detection	detection	NOUN
cana-4627	95	14	models	model	NOUN
cana-4627	95	15	from	from	ADP
cana-4627	95	16	recent	recent	ADJ
cana-4627	95	17	literature	literature	NOUN
cana-4627	95	18	.	.	PUNCT
cana-4627	96	1	this	this	DET
cana-4627	96	2	analysis	analysis	NOUN
cana-4627	96	3	showcased	showcase	VERB
cana-4627	96	4	the	the	DET
cana-4627	96	5	proposed	propose	VERB
cana-4627	96	6	optimized	optimize	VERB
cana-4627	96	7	stacking	stack	VERB
cana-4627	96	8	ensemble	ensemble	ADJ
cana-4627	96	9	model	model	NOUN
cana-4627	96	10	's	's	PART
cana-4627	96	11	superior	superior	ADJ
cana-4627	96	12	performance	performance	NOUN
cana-4627	96	13	:	:	PUNCT
cana-4627	96	14	table	table	NOUN
cana-4627	96	15	6	6	NUM
cana-4627	96	16	:	:	PUNCT
cana-4627	96	17	comparative	comparative	ADJ
cana-4627	96	18	evaluation	evaluation	NOUN
cana-4627	96	19	of	of	ADP
cana-4627	96	20	models	model	NOUN
cana-4627	96	21	methodology	methodology	NOUN
cana-4627	96	22	precision	precision	NOUN
cana-4627	96	23	(	(	PUNCT
cana-4627	96	24	%	%	INTJ
cana-4627	96	25	)	)	PUNCT
cana-4627	96	26	recall	recall	NOUN
cana-4627	96	27	(	(	PUNCT
cana-4627	96	28	%	%	NOUN
cana-4627	96	29	)	)	PUNCT
cana-4627	96	30	f1	f1	NOUN
cana-4627	96	31	-	-	PUNCT
cana-4627	96	32	score	score	NOUN
cana-4627	96	33	(	(	PUNCT
cana-4627	96	34	%	%	INTJ
cana-4627	96	35	)	)	PUNCT
cana-4627	96	36	roc	roc	NOUN
cana-4627	96	37	-	-	PUNCT
cana-4627	96	38	auc	auc	NOUN
cana-4627	96	39	(	(	PUNCT
cana-4627	96	40	%	%	INTJ
cana-4627	96	41	)	)	PUNCT
cana-4627	96	42	bhati	bhati	PROPN
cana-4627	96	43	and	and	CCONJ
cana-4627	96	44	rai	rai	X
cana-4627	96	45	(	(	PUNCT
cana-4627	96	46	2019	2019	NUM
cana-4627	96	47	)	)	PUNCT
cana-4627	96	48	94.2	94.2	NUM
cana-4627	96	49	93.1	93.1	NUM
cana-4627	96	50	93.6	93.6	NUM
cana-4627	96	51	96.0	96.0	NUM
cana-4627	96	52	pham	pham	PROPN
cana-4627	96	53	et	et	PROPN
cana-4627	96	54	al	al	PROPN
cana-4627	96	55	.	.	PROPN
cana-4627	97	1	(	(	PUNCT
cana-4627	97	2	2022	2022	NUM
cana-4627	97	3	)	)	PUNCT
cana-4627	97	4	94.8	94.8	NUM
cana-4627	97	5	93.5	93.5	NUM
cana-4627	97	6	94.1	94.1	NUM
cana-4627	97	7	96.6	96.6	NUM
cana-4627	97	8	communications	communication	NOUN
cana-4627	97	9	on	on	ADP
cana-4627	97	10	applied	apply	VERB
cana-4627	97	11	nonlinear	nonlinear	ADJ
cana-4627	97	12	analysis	analysis	NOUN
cana-4627	97	13	issn	issn	NOUN
cana-4627	97	14	:	:	PUNCT
cana-4627	97	15	1074	1074	NUM
cana-4627	97	16	-	-	PUNCT
cana-4627	97	17	133x	133x	NUM
cana-4627	97	18	vol	vol	NOUN
cana-4627	97	19	32	32	NUM
cana-4627	97	20	no	no	NOUN
cana-4627	97	21	.	.	NOUN
cana-4627	97	22	3	3	NUM
cana-4627	97	23	(	(	PUNCT
cana-4627	97	24	2025	2025	NUM
cana-4627	97	25	)	)	PUNCT
cana-4627	98	1	874	874	NUM
cana-4627	98	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	98	3	zhou	zhou	VERB
cana-4627	98	4	et	et	PROPN
cana-4627	98	5	al	al	PROPN
cana-4627	98	6	.	.	PROPN
cana-4627	99	1	(	(	PUNCT
cana-4627	99	2	2023	2023	NUM
cana-4627	99	3	)	)	PUNCT
cana-4627	100	1	95.4	95.4	NUM
cana-4627	100	2	94.0	94.0	NUM
cana-4627	100	3	94.7	94.7	NUM
cana-4627	100	4	97.2	97.2	NUM
cana-4627	100	5	proposed	propose	VERB
cana-4627	100	6	gwo	gwo	NOUN
cana-4627	100	7	-	-	PUNCT
cana-4627	100	8	based	base	VERB
cana-4627	100	9	ensemble	ensemble	ADJ
cana-4627	100	10	98.1	98.1	NUM
cana-4627	100	11	98.9	98.9	NUM
cana-4627	100	12	98.5	98.5	NUM
cana-4627	100	13	99.2	99.2	NUM
cana-4627	100	14	this	this	DET
cana-4627	100	15	comparative	comparative	ADJ
cana-4627	100	16	assessment	assessment	NOUN
cana-4627	100	17	confirms	confirm	VERB
cana-4627	100	18	the	the	DET
cana-4627	100	19	robustness	robustness	NOUN
cana-4627	100	20	and	and	CCONJ
cana-4627	100	21	advanced	advanced	ADJ
cana-4627	100	22	capability	capability	NOUN
cana-4627	100	23	of	of	ADP
cana-4627	100	24	the	the	DET
cana-4627	100	25	proposed	propose	VERB
cana-4627	100	26	ensemble	ensemble	ADJ
cana-4627	100	27	approach	approach	NOUN
cana-4627	100	28	.	.	PUNCT
cana-4627	101	1	the	the	DET
cana-4627	101	2	introduction	introduction	NOUN
cana-4627	101	3	of	of	ADP
cana-4627	101	4	gwo	gwo	NOUN
cana-4627	101	5	for	for	ADP
cana-4627	101	6	optimizing	optimize	VERB
cana-4627	101	7	classifier	classifier	NOUN
cana-4627	101	8	weights	weight	NOUN
cana-4627	101	9	significantly	significantly	ADV
cana-4627	101	10	enhances	enhance	VERB
cana-4627	101	11	detection	detection	NOUN
cana-4627	101	12	accuracy	accuracy	NOUN
cana-4627	101	13	and	and	CCONJ
cana-4627	101	14	reliability	reliability	NOUN
cana-4627	101	15	,	,	PUNCT
cana-4627	101	16	representing	represent	VERB
cana-4627	101	17	a	a	DET
cana-4627	101	18	significant	significant	ADJ
cana-4627	101	19	advancement	advancement	NOUN
cana-4627	101	20	in	in	ADP
cana-4627	101	21	intrusion	intrusion	NOUN
cana-4627	101	22	detection	detection	NOUN
cana-4627	101	23	technology	technology	NOUN
cana-4627	101	24	.	.	PUNCT
cana-4627	102	1	in	in	ADP
cana-4627	102	2	summary	summary	NOUN
cana-4627	102	3	,	,	PUNCT
cana-4627	102	4	this	this	DET
cana-4627	102	5	detailed	detailed	ADJ
cana-4627	102	6	experimental	experimental	ADJ
cana-4627	102	7	evaluation	evaluation	NOUN
cana-4627	102	8	highlights	highlight	NOUN
cana-4627	102	9	the	the	DET
cana-4627	102	10	effectiveness	effectiveness	NOUN
cana-4627	102	11	of	of	ADP
cana-4627	102	12	the	the	DET
cana-4627	102	13	optimized	optimize	VERB
cana-4627	102	14	stacking	stacking	NOUN
cana-4627	102	15	ensemble	ensemble	ADJ
cana-4627	102	16	method	method	NOUN
cana-4627	102	17	,	,	PUNCT
cana-4627	102	18	substantiating	substantiate	VERB
cana-4627	102	19	its	its	PRON
cana-4627	102	20	applicability	applicability	NOUN
cana-4627	102	21	and	and	CCONJ
cana-4627	102	22	effectiveness	effectiveness	NOUN
cana-4627	102	23	in	in	ADP
cana-4627	102	24	enhancing	enhance	VERB
cana-4627	102	25	cybersecurity	cybersecurity	NOUN
cana-4627	102	26	defense	defense	NOUN
cana-4627	102	27	mechanisms	mechanism	NOUN
cana-4627	102	28	.	.	PUNCT
cana-4627	103	1	roc	roc	NOUN
cana-4627	103	2	plots	plot	NOUN
cana-4627	103	3	for	for	ADP
cana-4627	103	4	base	base	NOUN
cana-4627	103	5	learners	learner	NOUN
cana-4627	103	6	figure	figure	VERB
cana-4627	103	7	4	4	NUM
cana-4627	103	8	.	.	PUNCT
cana-4627	104	1	roc	roc	PROPN
cana-4627	104	2	curves	curve	NOUN
cana-4627	104	3	of	of	ADP
cana-4627	104	4	various	various	ADJ
cana-4627	104	5	models	model	NOUN
cana-4627	104	6	figure	figure	VERB
cana-4627	104	7	5	5	NUM
cana-4627	104	8	.	.	PUNCT
cana-4627	104	9	confusion	confusion	NOUN
cana-4627	104	10	matrix	matrix	NOUN
cana-4627	104	11	communications	communication	NOUN
cana-4627	104	12	on	on	ADP
cana-4627	104	13	applied	apply	VERB
cana-4627	104	14	nonlinear	nonlinear	ADJ
cana-4627	104	15	analysis	analysis	NOUN
cana-4627	104	16	issn	issn	NOUN
cana-4627	104	17	:	:	PUNCT
cana-4627	104	18	1074	1074	NUM
cana-4627	104	19	-	-	PUNCT
cana-4627	104	20	133x	133x	NUM
cana-4627	104	21	vol	vol	NOUN
cana-4627	104	22	32	32	NUM
cana-4627	104	23	no	no	NOUN
cana-4627	104	24	.	.	NOUN
cana-4627	104	25	3	3	NUM
cana-4627	104	26	(	(	PUNCT
cana-4627	104	27	2025	2025	NUM
cana-4627	104	28	)	)	PUNCT
cana-4627	104	29	875	875	NUM
cana-4627	104	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	104	31	figure	figure	NOUN
cana-4627	104	32	6	6	NUM
cana-4627	104	33	.	.	PUNCT
cana-4627	105	1	performance	performance	NOUN
cana-4627	105	2	comparison	comparison	NOUN
cana-4627	105	3	of	of	ADP
cana-4627	105	4	base	base	NOUN
cana-4627	105	5	classifiers	classifier	NOUN
cana-4627	105	6	figure	figure	VERB
cana-4627	105	7	7	7	NUM
cana-4627	105	8	.	.	PUNCT
cana-4627	105	9	performance	performance	NOUN
cana-4627	105	10	comparison	comparison	NOUN
cana-4627	105	11	of	of	ADP
cana-4627	105	12	ensemble	ensemble	ADJ
cana-4627	105	13	classifiers	classifier	NOUN
cana-4627	105	14	figure	figure	VERB
cana-4627	105	15	8	8	NUM
cana-4627	105	16	.	.	PUNCT
cana-4627	106	1	effect	effect	NOUN
cana-4627	106	2	of	of	ADP
cana-4627	106	3	proposed	propose	VERB
cana-4627	106	4	optimization	optimization	NOUN
cana-4627	106	5	7	7	NUM
cana-4627	106	6	.	.	NOUN
cana-4627	106	7	novelty	novelty	NOUN
cana-4627	106	8	and	and	CCONJ
cana-4627	106	9	contributions	contribution	NOUN
cana-4627	106	10	:	:	PUNCT
cana-4627	106	11	the	the	DET
cana-4627	106	12	study	study	NOUN
cana-4627	106	13	introduces	introduce	VERB
cana-4627	106	14	a	a	DET
cana-4627	106	15	new	new	ADJ
cana-4627	106	16	combination	combination	NOUN
cana-4627	106	17	of	of	ADP
cana-4627	106	18	grey	grey	ADJ
cana-4627	106	19	wolf	wolf	PROPN
cana-4627	106	20	optimization	optimization	NOUN
cana-4627	106	21	(	(	PUNCT
cana-4627	106	22	gwo	gwo	PROPN
cana-4627	106	23	)	)	PUNCT
cana-4627	106	24	to	to	PART
cana-4627	106	25	dynamically	dynamically	ADV
cana-4627	106	26	adjust	adjust	VERB
cana-4627	106	27	ensemble	ensemble	ADJ
cana-4627	106	28	weights	weight	NOUN
cana-4627	106	29	in	in	ADP
cana-4627	106	30	intrusion	intrusion	NOUN
cana-4627	106	31	detection	detection	NOUN
cana-4627	106	32	systems	system	NOUN
cana-4627	106	33	(	(	PUNCT
cana-4627	106	34	ids	id	NOUN
cana-4627	106	35	)	)	PUNCT
cana-4627	106	36	,	,	PUNCT
cana-4627	106	37	which	which	PRON
cana-4627	106	38	constitutes	constitute	VERB
cana-4627	106	39	a	a	DET
cana-4627	106	40	new	new	ADJ
cana-4627	106	41	methodological	methodological	ADJ
cana-4627	106	42	contribution	contribution	NOUN
cana-4627	106	43	.	.	PUNCT
cana-4627	107	1	in	in	ADP
cana-4627	107	2	contrast	contrast	NOUN
cana-4627	107	3	to	to	ADP
cana-4627	107	4	earlier	early	ADJ
cana-4627	107	5	research	research	NOUN
cana-4627	107	6	,	,	PUNCT
cana-4627	107	7	where	where	SCONJ
cana-4627	107	8	ensemble	ensemble	ADJ
cana-4627	107	9	weights	weight	NOUN
cana-4627	107	10	tended	tend	VERB
cana-4627	107	11	to	to	PART
cana-4627	107	12	be	be	AUX
cana-4627	107	13	static	static	ADJ
cana-4627	107	14	or	or	CCONJ
cana-4627	107	15	manually	manually	ADV
cana-4627	107	16	communications	communication	NOUN
cana-4627	107	17	on	on	ADP
cana-4627	107	18	applied	apply	VERB
cana-4627	107	19	nonlinear	nonlinear	ADJ
cana-4627	107	20	analysis	analysis	NOUN
cana-4627	107	21	issn	issn	NOUN
cana-4627	107	22	:	:	PUNCT
cana-4627	107	23	1074	1074	NUM
cana-4627	107	24	-	-	PUNCT
cana-4627	107	25	133x	133x	NUM
cana-4627	107	26	vol	vol	NOUN
cana-4627	107	27	32	32	NUM
cana-4627	107	28	no	no	NOUN
cana-4627	107	29	.	.	NOUN
cana-4627	107	30	3	3	NUM
cana-4627	107	31	(	(	PUNCT
cana-4627	107	32	2025	2025	NUM
cana-4627	107	33	)	)	PUNCT
cana-4627	107	34	876	876	NUM
cana-4627	107	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	107	36	set	set	NOUN
cana-4627	107	37	,	,	PUNCT
cana-4627	107	38	our	our	PRON
cana-4627	107	39	strategy	strategy	NOUN
cana-4627	107	40	uses	use	VERB
cana-4627	107	41	the	the	DET
cana-4627	107	42	adaptive	adaptive	ADJ
cana-4627	107	43	and	and	CCONJ
cana-4627	107	44	exploratory	exploratory	ADJ
cana-4627	107	45	capability	capability	NOUN
cana-4627	107	46	of	of	ADP
cana-4627	107	47	gwo	gwo	NOUN
cana-4627	107	48	to	to	PART
cana-4627	107	49	optimize	optimize	VERB
cana-4627	107	50	the	the	DET
cana-4627	107	51	contribution	contribution	NOUN
cana-4627	107	52	of	of	ADP
cana-4627	107	53	each	each	DET
cana-4627	107	54	individual	individual	ADJ
cana-4627	107	55	base	base	NOUN
cana-4627	107	56	learner	learner	NOUN
cana-4627	107	57	and	and	CCONJ
cana-4627	107	58	improve	improve	VERB
cana-4627	107	59	the	the	DET
cana-4627	107	60	decision	decision	NOUN
cana-4627	107	61	-	-	PUNCT
cana-4627	107	62	making	make	VERB
cana-4627	107	63	ability	ability	NOUN
cana-4627	107	64	of	of	ADP
cana-4627	107	65	the	the	DET
cana-4627	107	66	ensemble	ensemble	NOUN
cana-4627	107	67	.	.	PUNCT
cana-4627	108	1	the	the	DET
cana-4627	108	2	work	work	NOUN
cana-4627	108	3	also	also	ADV
cana-4627	108	4	involves	involve	VERB
cana-4627	108	5	a	a	DET
cana-4627	108	6	hybrid	hybrid	ADJ
cana-4627	108	7	feature	feature	NOUN
cana-4627	108	8	selection	selection	NOUN
cana-4627	108	9	method	method	NOUN
cana-4627	108	10	that	that	PRON
cana-4627	108	11	combines	combine	VERB
cana-4627	108	12	the	the	DET
cana-4627	108	13	power	power	NOUN
cana-4627	108	14	of	of	ADP
cana-4627	108	15	random	random	ADJ
cana-4627	108	16	forest	forest	NOUN
cana-4627	108	17	-	-	PUNCT
cana-4627	108	18	based	base	VERB
cana-4627	108	19	importance	importance	NOUN
cana-4627	108	20	ranking	ranking	ADJ
cana-4627	108	21	and	and	CCONJ
cana-4627	108	22	recursive	recursive	ADJ
cana-4627	108	23	feature	feature	NOUN
cana-4627	108	24	elimination	elimination	NOUN
cana-4627	108	25	(	(	PUNCT
cana-4627	108	26	rfe	rfe	NOUN
cana-4627	108	27	)	)	PUNCT
cana-4627	108	28	.	.	PUNCT
cana-4627	109	1	this	this	DET
cana-4627	109	2	two	two	NUM
cana-4627	109	3	-	-	PUNCT
cana-4627	109	4	stage	stage	NOUN
cana-4627	109	5	operation	operation	NOUN
cana-4627	109	6	preserves	preserve	VERB
cana-4627	109	7	only	only	ADV
cana-4627	109	8	the	the	DET
cana-4627	109	9	most	most	ADV
cana-4627	109	10	significant	significant	ADJ
cana-4627	109	11	and	and	CCONJ
cana-4627	109	12	impactful	impactful	ADJ
cana-4627	109	13	features	feature	NOUN
cana-4627	109	14	,	,	PUNCT
cana-4627	109	15	eliminating	eliminate	VERB
cana-4627	109	16	redundancy	redundancy	NOUN
cana-4627	109	17	and	and	CCONJ
cana-4627	109	18	enhancing	enhance	VERB
cana-4627	109	19	model	model	NOUN
cana-4627	109	20	efficiency	efficiency	NOUN
cana-4627	109	21	.	.	PUNCT
cana-4627	110	1	the	the	DET
cana-4627	110	2	approach	approach	NOUN
cana-4627	110	3	was	be	AUX
cana-4627	110	4	comprehensively	comprehensively	ADV
cana-4627	110	5	tested	test	VERB
cana-4627	110	6	on	on	ADP
cana-4627	110	7	the	the	DET
cana-4627	110	8	nsl	nsl	PROPN
cana-4627	110	9	-	-	PUNCT
cana-4627	110	10	kdd	kdd	PROPN
cana-4627	110	11	dataset	dataset	NOUN
cana-4627	110	12	,	,	PUNCT
cana-4627	110	13	where	where	SCONJ
cana-4627	110	14	it	it	PRON
cana-4627	110	15	consistently	consistently	ADV
cana-4627	110	16	outperformed	outperform	VERB
cana-4627	110	17	baseline	baseline	NOUN
cana-4627	110	18	classifiers	classifier	NOUN
cana-4627	110	19	and	and	CCONJ
cana-4627	110	20	state	state	NOUN
cana-4627	110	21	-	-	PUNCT
cana-4627	110	22	of	of	ADP
cana-4627	110	23	-	-	PUNCT
cana-4627	110	24	the	the	DET
cana-4627	110	25	-	-	PUNCT
cana-4627	110	26	art	art	NOUN
cana-4627	110	27	ensemble	ensemble	ADJ
cana-4627	110	28	methods	method	NOUN
cana-4627	110	29	.	.	PUNCT
cana-4627	111	1	these	these	DET
cana-4627	111	2	contributions	contribution	NOUN
cana-4627	111	3	not	not	PART
cana-4627	111	4	only	only	ADV
cana-4627	111	5	set	set	VERB
cana-4627	111	6	a	a	DET
cana-4627	111	7	new	new	ADJ
cana-4627	111	8	benchmark	benchmark	NOUN
cana-4627	111	9	in	in	ADP
cana-4627	111	10	ids	id	NOUN
cana-4627	111	11	performance	performance	NOUN
cana-4627	111	12	but	but	CCONJ
cana-4627	111	13	also	also	ADV
cana-4627	111	14	showcase	showcase	VERB
cana-4627	111	15	the	the	DET
cana-4627	111	16	practicality	practicality	NOUN
cana-4627	111	17	and	and	CCONJ
cana-4627	111	18	scalability	scalability	NOUN
cana-4627	111	19	of	of	ADP
cana-4627	111	20	the	the	DET
cana-4627	111	21	method	method	NOUN
cana-4627	111	22	for	for	ADP
cana-4627	111	23	real	real	ADJ
cana-4627	111	24	-	-	PUNCT
cana-4627	111	25	world	world	NOUN
cana-4627	111	26	applications	application	NOUN
cana-4627	111	27	in	in	ADP
cana-4627	111	28	cybersecurity	cybersecurity	NOUN
cana-4627	111	29	.	.	PUNCT
cana-4627	112	1	8	8	NUM
cana-4627	112	2	.	.	X
cana-4627	112	3	conclusion	conclusion	NOUN
cana-4627	112	4	and	and	CCONJ
cana-4627	112	5	future	future	ADJ
cana-4627	112	6	directions	direction	NOUN
cana-4627	112	7	:	:	PUNCT
cana-4627	112	8	the	the	DET
cana-4627	112	9	ensemble	ensemble	ADJ
cana-4627	112	10	framework	framework	NOUN
cana-4627	112	11	proposed	propose	VERB
cana-4627	112	12	in	in	ADP
cana-4627	112	13	this	this	DET
cana-4627	112	14	paper	paper	NOUN
cana-4627	112	15	improves	improve	VERB
cana-4627	112	16	the	the	DET
cana-4627	112	17	performance	performance	NOUN
cana-4627	112	18	of	of	ADP
cana-4627	112	19	intrusion	intrusion	NOUN
cana-4627	112	20	detection	detection	NOUN
cana-4627	112	21	systems	system	NOUN
cana-4627	112	22	significantly	significantly	ADV
cana-4627	112	23	by	by	ADP
cana-4627	112	24	integrating	integrate	VERB
cana-4627	112	25	grey	grey	ADJ
cana-4627	112	26	wolf	wolf	PROPN
cana-4627	112	27	optimization	optimization	NOUN
cana-4627	112	28	(	(	PUNCT
cana-4627	112	29	gwo	gwo	PROPN
cana-4627	112	30	)	)	PUNCT
cana-4627	112	31	to	to	PART
cana-4627	112	32	optimize	optimize	VERB
cana-4627	112	33	the	the	DET
cana-4627	112	34	contribution	contribution	NOUN
cana-4627	112	35	of	of	ADP
cana-4627	112	36	each	each	DET
cana-4627	112	37	base	base	NOUN
cana-4627	112	38	classifier	classifier	NOUN
cana-4627	112	39	.	.	PUNCT
cana-4627	113	1	the	the	DET
cana-4627	113	2	adaptive	adaptive	ADJ
cana-4627	113	3	optimization	optimization	NOUN
cana-4627	113	4	technique	technique	NOUN
cana-4627	113	5	results	result	NOUN
cana-4627	113	6	in	in	ADP
cana-4627	113	7	improved	improved	ADJ
cana-4627	113	8	and	and	CCONJ
cana-4627	113	9	more	more	ADV
cana-4627	113	10	reliable	reliable	ADJ
cana-4627	113	11	intrusion	intrusion	NOUN
cana-4627	113	12	detection	detection	NOUN
cana-4627	113	13	,	,	PUNCT
cana-4627	113	14	overcoming	overcome	VERB
cana-4627	113	15	the	the	DET
cana-4627	113	16	shortcomings	shortcoming	NOUN
cana-4627	113	17	of	of	ADP
cana-4627	113	18	class	class	NOUN
cana-4627	113	19	imbalance	imbalance	NOUN
cana-4627	113	20	and	and	CCONJ
cana-4627	113	21	model	model	NOUN
cana-4627	113	22	generalization	generalization	NOUN
cana-4627	113	23	.	.	PUNCT
cana-4627	114	1	extensive	extensive	ADJ
cana-4627	114	2	testing	testing	NOUN
cana-4627	114	3	on	on	ADP
cana-4627	114	4	the	the	DET
cana-4627	114	5	nsl	nsl	PROPN
cana-4627	114	6	-	-	PUNCT
cana-4627	114	7	kdd	kdd	PROPN
cana-4627	114	8	dataset	dataset	NOUN
cana-4627	114	9	was	be	AUX
cana-4627	114	10	performed	perform	VERB
cana-4627	114	11	by	by	ADP
cana-4627	114	12	the	the	DET
cana-4627	114	13	model	model	NOUN
cana-4627	114	14	with	with	ADP
cana-4627	114	15	the	the	DET
cana-4627	114	16	improvement	improvement	NOUN
cana-4627	114	17	of	of	ADP
cana-4627	114	18	conventional	conventional	ADJ
cana-4627	114	19	classifiers	classifier	NOUN
cana-4627	114	20	and	and	CCONJ
cana-4627	114	21	ensemble	ensemble	ADJ
cana-4627	114	22	setups	setup	NOUN
cana-4627	114	23	by	by	ADP
cana-4627	114	24	large	large	ADJ
cana-4627	114	25	measures	measure	NOUN
cana-4627	114	26	.	.	PUNCT
cana-4627	115	1	looking	look	VERB
cana-4627	115	2	forward	forward	ADV
cana-4627	115	3	,	,	PUNCT
cana-4627	115	4	subsequent	subsequent	ADJ
cana-4627	115	5	research	research	NOUN
cana-4627	115	6	will	will	AUX
cana-4627	115	7	concentrate	concentrate	VERB
cana-4627	115	8	on	on	ADP
cana-4627	115	9	deploying	deploy	VERB
cana-4627	115	10	this	this	DET
cana-4627	115	11	optimized	optimize	VERB
cana-4627	115	12	ensemble	ensemble	ADJ
cana-4627	115	13	method	method	NOUN
cana-4627	115	14	in	in	ADP
cana-4627	115	15	real	real	ADJ
cana-4627	115	16	-	-	PUNCT
cana-4627	115	17	world	world	NOUN
cana-4627	115	18	scenarios	scenario	NOUN
cana-4627	115	19	,	,	PUNCT
cana-4627	115	20	mitigating	mitigate	VERB
cana-4627	115	21	the	the	DET
cana-4627	115	22	challenges	challenge	NOUN
cana-4627	115	23	of	of	ADP
cana-4627	115	24	perpetually	perpetually	ADV
cana-4627	115	25	changing	change	VERB
cana-4627	115	26	network	network	NOUN
cana-4627	115	27	traffic	traffic	NOUN
cana-4627	115	28	patterns	pattern	NOUN
cana-4627	115	29	and	and	CCONJ
cana-4627	115	30	dynamic	dynamic	ADJ
cana-4627	115	31	attack	attack	NOUN
cana-4627	115	32	modes	mode	NOUN
cana-4627	115	33	.	.	PUNCT
cana-4627	116	1	furthermore	furthermore	ADV
cana-4627	116	2	,	,	PUNCT
cana-4627	116	3	investigating	investigate	VERB
cana-4627	116	4	how	how	SCONJ
cana-4627	116	5	to	to	PART
cana-4627	116	6	integrate	integrate	VERB
cana-4627	116	7	online	online	ADJ
cana-4627	116	8	learning	learn	VERB
cana-4627	116	9	methods	method	NOUN
cana-4627	116	10	and	and	CCONJ
cana-4627	116	11	hybrid	hybrid	ADJ
cana-4627	116	12	metaheuristic	metaheuristic	ADJ
cana-4627	116	13	algorithms	algorithm	NOUN
cana-4627	116	14	might	might	AUX
cana-4627	116	15	extend	extend	VERB
cana-4627	116	16	even	even	ADV
cana-4627	116	17	greater	great	ADJ
cana-4627	116	18	adaptability	adaptability	NOUN
cana-4627	116	19	and	and	CCONJ
cana-4627	116	20	resilience	resilience	NOUN
cana-4627	116	21	,	,	PUNCT
cana-4627	116	22	eventually	eventually	ADV
cana-4627	116	23	setting	set	VERB
cana-4627	116	24	the	the	DET
cana-4627	116	25	stage	stage	NOUN
cana-4627	116	26	for	for	ADP
cana-4627	116	27	next	next	ADJ
cana-4627	116	28	-	-	PUNCT
cana-4627	116	29	generation	generation	NOUN
cana-4627	116	30	ids	id	NOUN
cana-4627	116	31	solutions	solution	NOUN
cana-4627	116	32	that	that	PRON
cana-4627	116	33	are	be	AUX
cana-4627	116	34	able	able	ADJ
cana-4627	116	35	to	to	PART
cana-4627	116	36	pre	pre	VERB
cana-4627	116	37	-	-	ADJ
cana-4627	116	38	emptively	emptively	ADV
cana-4627	116	39	counter	counter	NOUN
cana-4627	116	40	sophisticated	sophisticated	ADJ
cana-4627	116	41	cyber	cyber	NOUN
cana-4627	116	42	attacks	attack	NOUN
cana-4627	116	43	.	.	PUNCT
cana-4627	117	1	references	reference	NOUN
cana-4627	117	2	[	[	X
cana-4627	117	3	1	1	NUM
cana-4627	117	4	]	]	PUNCT
cana-4627	117	5	h.	h.	NOUN
cana-4627	117	6	rajadurai	rajadurai	PROPN
cana-4627	117	7	and	and	CCONJ
cana-4627	117	8	u.	u.	PROPN
cana-4627	117	9	d.	d.	PROPN
cana-4627	117	10	gandhi	gandhi	PROPN
cana-4627	117	11	,	,	PUNCT
cana-4627	117	12	“	"	PUNCT
cana-4627	117	13	a	a	DET
cana-4627	117	14	stacked	stack	VERB
cana-4627	117	15	ensemble	ensemble	ADJ
cana-4627	117	16	learning	learning	NOUN
cana-4627	117	17	model	model	NOUN
cana-4627	117	18	for	for	ADP
cana-4627	117	19	intrusion	intrusion	NOUN
cana-4627	117	20	detection	detection	NOUN
cana-4627	117	21	in	in	ADP
cana-4627	117	22	wireless	wireless	ADJ
cana-4627	117	23	network	network	NOUN
cana-4627	117	24	,	,	PUNCT
cana-4627	117	25	”	"	PUNCT
cana-4627	117	26	neural	neural	ADJ
cana-4627	117	27	comput	comput	NOUN
cana-4627	117	28	.	.	PUNCT
cana-4627	118	1	appl	appl	PROPN
cana-4627	118	2	.	.	PROPN
cana-4627	118	3	,	,	PUNCT
cana-4627	118	4	may	may	AUX
cana-4627	118	5	2021	2021	NUM
cana-4627	118	6	,	,	PUNCT
cana-4627	118	7	doi	doi	NOUN
cana-4627	118	8	:	:	PUNCT
cana-4627	118	9	10.1007	10.1007	NUM
cana-4627	118	10	/	/	SYM
cana-4627	118	11	s00521	s00521	NOUN
cana-4627	118	12	-	-	PUNCT
cana-4627	118	13	020	020	NUM
cana-4627	118	14	-	-	PUNCT
cana-4627	118	15	04986	04986	NUM
cana-4627	118	16	-	-	SYM
cana-4627	118	17	5	5	NUM
cana-4627	118	18	.	.	PUNCT
cana-4627	119	1	[	[	X
cana-4627	119	2	2	2	NUM
cana-4627	119	3	]	]	X
cana-4627	119	4	g.	g.	PROPN
cana-4627	119	5	kumar	kumar	PROPN
cana-4627	119	6	,	,	PUNCT
cana-4627	119	7	k.	k.	PROPN
cana-4627	119	8	thakur	thakur	PROPN
cana-4627	119	9	,	,	PUNCT
cana-4627	119	10	and	and	CCONJ
cana-4627	119	11	m.	m.	PROPN
cana-4627	119	12	r.	r.	PROPN
cana-4627	119	13	ayyagari	ayyagari	PROPN
cana-4627	119	14	,	,	PUNCT
cana-4627	119	15	“	"	PUNCT
cana-4627	119	16	mlesidss	mlesidss	ADJ
cana-4627	119	17	:	:	PUNCT
cana-4627	119	18	machine	machine	NOUN
cana-4627	119	19	learning	learning	NOUN
cana-4627	119	20	-	-	PUNCT
cana-4627	119	21	based	base	VERB
cana-4627	119	22	ensembles	ensemble	NOUN
cana-4627	119	23	for	for	ADP
cana-4627	119	24	intrusion	intrusion	NOUN
cana-4627	119	25	detection	detection	NOUN
cana-4627	119	26	systems	system	NOUN
cana-4627	119	27	—	—	PUNCT
cana-4627	119	28	a	a	DET
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cana-4627	119	30	,	,	PUNCT
cana-4627	119	31	”	"	PUNCT
cana-4627	119	32	j.	j.	PROPN
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cana-4627	120	1	76	76	NUM
cana-4627	120	2	,	,	PUNCT
cana-4627	120	3	no	no	INTJ
cana-4627	120	4	.	.	NOUN
cana-4627	120	5	11	11	NUM
cana-4627	120	6	,	,	PUNCT
cana-4627	121	1	pp	pp	ADJ
cana-4627	121	2	.	.	PUNCT
cana-4627	122	1	8938–8971	8938–8971	NUM
cana-4627	122	2	,	,	PUNCT
cana-4627	122	3	nov	nov	PROPN
cana-4627	122	4	.	.	PROPN
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cana-4627	122	8	:	:	PUNCT
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cana-4627	122	10	/	/	SYM
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cana-4627	122	12	-	-	PUNCT
cana-4627	122	13	03196	03196	NUM
cana-4627	122	14	-	-	PUNCT
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cana-4627	123	2	3	3	X
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cana-4627	123	13	:	:	PUNCT
cana-4627	123	14	a	a	DET
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cana-4627	123	16	,	,	PUNCT
cana-4627	123	17	”	"	PUNCT
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cana-4627	123	20	min	min	PROPN
cana-4627	123	21	.	.	PROPN
cana-4627	123	22	knowl	knowl	PROPN
cana-4627	123	23	.	.	PUNCT
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cana-4627	124	2	.	.	PUNCT
cana-4627	125	1	,	,	PUNCT
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cana-4627	125	8	4	4	NUM
cana-4627	125	9	,	,	PUNCT
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cana-4627	125	17	/	/	SYM
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cana-4627	125	19	.	.	PUNCT
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cana-4627	126	2	4	4	NUM
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cana-4627	126	17	,	,	PUNCT
cana-4627	126	18	“	"	PUNCT
cana-4627	126	19	a	a	DET
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cana-4627	126	30	kdd	kdd	PROPN
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cana-4627	126	42	communication	communication	NOUN
cana-4627	126	43	(	(	PUNCT
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cana-4627	126	46	,	,	PUNCT
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cana-4627	127	2	.	.	PUNCT
cana-4627	128	1	doi	doi	NOUN
cana-4627	128	2	:	:	PUNCT
cana-4627	128	3	10.1109	10.1109	NUM
cana-4627	128	4	/	/	SYM
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cana-4627	129	2	5	5	X
cana-4627	129	3	]	]	PUNCT
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cana-4627	129	21	an	an	DET
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cana-4627	129	23	intrusion	intrusion	NOUN
cana-4627	129	24	detection	detection	NOUN
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cana-4627	129	34	,	,	PUNCT
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cana-4627	129	36	.	.	PUNCT
cana-4627	129	37	138451–138467	138451–138467	NUM
cana-4627	129	38	,	,	PUNCT
cana-4627	129	39	2021	2021	NUM
cana-4627	129	40	,	,	PUNCT
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cana-4627	129	42	:	:	PUNCT
cana-4627	129	43	10.1109	10.1109	NUM
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cana-4627	130	23	6	6	NUM
cana-4627	130	24	,	,	PUNCT
cana-4627	130	25	p.	p.	NOUN
cana-4627	130	26	9	9	NUM
cana-4627	130	27	,	,	PUNCT
cana-4627	130	28	2016	2016	NUM
cana-4627	130	29	.	.	PUNCT
cana-4627	131	1	communications	communication	NOUN
cana-4627	131	2	on	on	ADP
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cana-4627	131	4	nonlinear	nonlinear	ADJ
cana-4627	131	5	analysis	analysis	NOUN
cana-4627	131	6	issn	issn	NOUN
cana-4627	131	7	:	:	PUNCT
cana-4627	131	8	1074	1074	NUM
cana-4627	131	9	-	-	PUNCT
cana-4627	131	10	133x	133x	NUM
cana-4627	131	11	vol	vol	NOUN
cana-4627	131	12	32	32	NUM
cana-4627	131	13	no	no	NOUN
cana-4627	131	14	.	.	NOUN
cana-4627	131	15	3	3	NUM
cana-4627	131	16	(	(	PUNCT
cana-4627	131	17	2025	2025	NUM
cana-4627	131	18	)	)	PUNCT
cana-4627	131	19	877	877	NUM
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cana-4627	132	16	for	for	ADP
cana-4627	132	17	intrusion	intrusion	NOUN
cana-4627	132	18	detection	detection	NOUN
cana-4627	132	19	using	use	VERB
cana-4627	132	20	extra	extra	ADJ
cana-4627	132	21	tree	tree	NOUN
cana-4627	132	22	classifier	classifier	NOUN
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cana-4627	132	24	”	"	PUNCT
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cana-4627	132	40	k.	k.	PROPN
cana-4627	132	41	hoang	hoang	PROPN
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cana-4627	132	43	z.	z.	PROPN
cana-4627	132	44	(	(	PUNCT
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cana-4627	132	46	)	)	PUNCT
cana-4627	132	47	lu	lu	PROPN
cana-4627	132	48	,	,	PUNCT
cana-4627	132	49	and	and	CCONJ
cana-4627	132	50	p.	p.	PROPN
cana-4627	132	51	k.	k.	PROPN
cana-4627	133	1	pattnaik	pattnaik	PROPN
cana-4627	133	2	,	,	PUNCT
cana-4627	133	3	eds	eds	PROPN
cana-4627	133	4	.	.	PUNCT
cana-4627	133	5	singapore	singapore	PROPN
cana-4627	133	6	:	:	PUNCT
cana-4627	133	7	springer	springer	PROPN
cana-4627	133	8	singapore	singapore	PROPN
cana-4627	133	9	,	,	PUNCT
cana-4627	133	10	2022	2022	NUM
cana-4627	133	11	,	,	PUNCT
cana-4627	133	12	pp	pp	ADJ
cana-4627	133	13	.	.	PUNCT
cana-4627	134	1	213–220	213–220	NUM
cana-4627	134	2	.	.	PUNCT
cana-4627	134	3	doi	doi	NOUN
cana-4627	134	4	:	:	PUNCT
cana-4627	134	5	10.1007/978	10.1007/978	NUM
cana-4627	134	6	-	-	SYM
cana-4627	134	7	981	981	NUM
cana-4627	134	8	-	-	PUNCT
cana-4627	134	9	15	15	NUM
cana-4627	134	10	-	-	PUNCT
cana-4627	134	11	2780	2780	NUM
cana-4627	134	12	-	-	SYM
cana-4627	134	13	7_25	7_25	NUM
cana-4627	134	14	.	.	PUNCT
cana-4627	135	1	[	[	X
cana-4627	135	2	8	8	NUM
cana-4627	135	3	]	]	X
cana-4627	135	4	n.	n.	NOUN
cana-4627	135	5	t.	t.	PROPN
cana-4627	135	6	pham	pham	PROPN
cana-4627	135	7	,	,	PUNCT
cana-4627	135	8	e.	e.	PROPN
cana-4627	135	9	foo	foo	PROPN
cana-4627	135	10	,	,	PUNCT
cana-4627	135	11	s.	s.	PROPN
cana-4627	135	12	suriadi	suriadi	PROPN
cana-4627	135	13	,	,	PUNCT
cana-4627	135	14	h.	h.	PROPN
cana-4627	135	15	jeffrey	jeffrey	PROPN
cana-4627	135	16	,	,	PUNCT
cana-4627	135	17	and	and	CCONJ
cana-4627	135	18	h.	h.	PROPN
cana-4627	135	19	f.	f.	PROPN
cana-4627	135	20	m.	m.	PROPN
cana-4627	135	21	lahza	lahza	PROPN
cana-4627	135	22	,	,	PUNCT
cana-4627	135	23	“	"	PUNCT
cana-4627	135	24	improving	improve	VERB
cana-4627	135	25	performance	performance	NOUN
cana-4627	135	26	of	of	ADP
cana-4627	135	27	intrusion	intrusion	NOUN
cana-4627	135	28	detection	detection	NOUN
cana-4627	135	29	system	system	NOUN
cana-4627	135	30	using	use	VERB
cana-4627	135	31	ensemble	ensemble	ADJ
cana-4627	135	32	methods	method	NOUN
cana-4627	135	33	and	and	CCONJ
cana-4627	135	34	feature	feature	NOUN
cana-4627	135	35	selection	selection	NOUN
cana-4627	135	36	,	,	PUNCT
cana-4627	135	37	”	"	PUNCT
cana-4627	135	38	in	in	ADP
cana-4627	135	39	proceedings	proceeding	NOUN
cana-4627	135	40	of	of	ADP
cana-4627	135	41	the	the	DET
cana-4627	135	42	australasian	australasian	ADJ
cana-4627	135	43	computer	computer	NOUN
cana-4627	135	44	science	science	NOUN
cana-4627	135	45	week	week	NOUN
cana-4627	135	46	multiconference	multiconference	NOUN
cana-4627	135	47	,	,	PUNCT
cana-4627	135	48	brisband	brisband	PROPN
cana-4627	135	49	queensland	queensland	PROPN
cana-4627	135	50	australia	australia	PROPN
cana-4627	135	51	,	,	PUNCT
cana-4627	135	52	jan	jan	PROPN
cana-4627	135	53	.	.	PROPN
cana-4627	135	54	2022	2022	NUM
cana-4627	135	55	,	,	PUNCT
cana-4627	135	56	pp	pp	ADJ
cana-4627	135	57	.	.	PUNCT
cana-4627	136	1	1–6	1–6	X
cana-4627	136	2	.	.	PUNCT
cana-4627	136	3	doi	doi	NOUN
cana-4627	136	4	:	:	PUNCT
cana-4627	136	5	10.1145/3167918.3167951	10.1145/3167918.3167951	NUM
cana-4627	136	6	.	.	PUNCT
cana-4627	137	1	[	[	X
cana-4627	137	2	9	9	NUM
cana-4627	137	3	]	]	PUNCT
cana-4627	137	4	m.	m.	NOUN
cana-4627	137	5	yousefnezhad	yousefnezhad	PROPN
cana-4627	137	6	,	,	PUNCT
cana-4627	137	7	j.	j.	PROPN
cana-4627	137	8	hamidzadeh	hamidzadeh	PROPN
cana-4627	137	9	,	,	PUNCT
cana-4627	137	10	and	and	CCONJ
cana-4627	137	11	m.	m.	NOUN
cana-4627	137	12	aliannejadi	aliannejadi	NOUN
cana-4627	137	13	,	,	PUNCT
cana-4627	137	14	“	"	PUNCT
cana-4627	137	15	ensemble	ensemble	ADJ
cana-4627	137	16	classification	classification	NOUN
cana-4627	137	17	for	for	ADP
cana-4627	137	18	intrusion	intrusion	NOUN
cana-4627	137	19	detection	detection	NOUN
cana-4627	137	20	via	via	ADP
cana-4627	137	21	feature	feature	NOUN
cana-4627	137	22	extraction	extraction	NOUN
cana-4627	137	23	based	base	VERB
cana-4627	137	24	on	on	ADP
cana-4627	137	25	deep	deep	ADJ
cana-4627	137	26	learning	learning	NOUN
cana-4627	137	27	,	,	PUNCT
cana-4627	137	28	”	"	PUNCT
cana-4627	137	29	soft	soft	ADJ
cana-4627	137	30	comput	comput	NOUN
cana-4627	137	31	.	.	PUNCT
cana-4627	137	32	,	,	PUNCT
cana-4627	137	33	vol	vol	NOUN
cana-4627	137	34	.	.	PROPN
cana-4627	137	35	25	25	NUM
cana-4627	137	36	,	,	PUNCT
cana-4627	137	37	no	no	INTJ
cana-4627	137	38	.	.	NOUN
cana-4627	137	39	20	20	NUM
cana-4627	137	40	,	,	PUNCT
cana-4627	137	41	pp	pp	ADJ
cana-4627	137	42	.	.	PUNCT
cana-4627	138	1	12667–12683	12667–12683	NUM
cana-4627	138	2	,	,	PUNCT
cana-4627	138	3	oct	oct	PROPN
cana-4627	138	4	.	.	PROPN
cana-4627	138	5	2021	2021	NUM
cana-4627	138	6	,	,	PUNCT
cana-4627	138	7	doi	doi	NOUN
cana-4627	138	8	:	:	PUNCT
cana-4627	138	9	10.1007	10.1007	NUM
cana-4627	138	10	/	/	SYM
cana-4627	138	11	s00500	s00500	PROPN
cana-4627	138	12	-	-	PUNCT
cana-4627	138	13	021	021	NUM
cana-4627	138	14	-	-	PUNCT
cana-4627	138	15	06067	06067	NUM
cana-4627	138	16	-	-	SYM
cana-4627	138	17	8	8	NUM
cana-4627	138	18	.	.	PUNCT
cana-4627	139	1	[	[	X
cana-4627	139	2	10	10	NUM
cana-4627	139	3	]	]	X
cana-4627	139	4	y.	y.	PROPN
cana-4627	139	5	zhou	zhou	PROPN
cana-4627	139	6	,	,	PUNCT
cana-4627	139	7	t.	t.	PROPN
cana-4627	139	8	a.	a.	PROPN
cana-4627	139	9	mazzuchi	mazzuchi	PROPN
cana-4627	139	10	,	,	PUNCT
cana-4627	139	11	and	and	CCONJ
cana-4627	139	12	s.	s.	PROPN
cana-4627	139	13	sarkani	sarkani	PROPN
cana-4627	139	14	,	,	PUNCT
cana-4627	139	15	“	"	PUNCT
cana-4627	139	16	m	m	NOUN
cana-4627	139	17	-	-	ADJ
cana-4627	139	18	adaboosta	adaboosta	ADV
cana-4627	139	19	based	base	VERB
cana-4627	139	20	ensemble	ensemble	ADJ
cana-4627	139	21	system	system	NOUN
cana-4627	139	22	for	for	ADP
cana-4627	139	23	network	network	NOUN
cana-4627	139	24	intrusion	intrusion	NOUN
cana-4627	139	25	detection	detection	NOUN
cana-4627	139	26	,	,	PUNCT
cana-4627	139	27	”	"	PUNCT
cana-4627	139	28	expert	expert	NOUN
cana-4627	139	29	syst	syst	NOUN
cana-4627	139	30	.	.	PUNCT
cana-4627	140	1	appl	appl	PROPN
cana-4627	140	2	.	.	PROPN
cana-4627	140	3	,	,	PUNCT
cana-4627	140	4	vol	vol	NOUN
cana-4627	140	5	.	.	PROPN
cana-4627	140	6	162	162	NUM
cana-4627	140	7	,	,	PUNCT
cana-4627	140	8	p.	p.	NOUN
cana-4627	140	9	113864	113864	NUM
cana-4627	140	10	,	,	PUNCT
cana-4627	140	11	dec	dec	PROPN
cana-4627	140	12	.	.	PROPN
cana-4627	140	13	2023	2023	NUM
cana-4627	140	14	,	,	PUNCT
cana-4627	140	15	doi	doi	NOUN
cana-4627	140	16	:	:	PUNCT
cana-4627	140	17	10.1016	10.1016	NUM
cana-4627	140	18	/	/	SYM
cana-4627	140	19	j.eswa.2020.113864	j.eswa.2020.113864	PROPN
cana-4627	140	20	.	.	PUNCT
cana-4627	141	1	[	[	X
cana-4627	141	2	11	11	NUM
cana-4627	141	3	]	]	PUNCT
cana-4627	141	4	a.	a.	NOUN
cana-4627	141	5	zainal	zainal	PROPN
cana-4627	141	6	,	,	PUNCT
cana-4627	141	7	m.	m.	NOUN
cana-4627	141	8	a.	a.	NOUN
cana-4627	141	9	maarof	maarof	PROPN
cana-4627	141	10	,	,	PUNCT
cana-4627	141	11	and	and	CCONJ
cana-4627	141	12	s.	s.	PROPN
cana-4627	141	13	m.	m.	PROPN
cana-4627	141	14	shamsuddin	shamsuddin	PROPN
cana-4627	141	15	,	,	PUNCT
cana-4627	141	16	“	"	PUNCT
cana-4627	141	17	ensemble	ensemble	ADJ
cana-4627	141	18	classifiers	classifier	NOUN
cana-4627	141	19	for	for	ADP
cana-4627	141	20	network	network	NOUN
cana-4627	141	21	intrusion	intrusion	NOUN
cana-4627	141	22	detection	detection	NOUN
cana-4627	141	23	system	system	NOUN
cana-4627	141	24	,	,	PUNCT
cana-4627	141	25	”	"	PUNCT
cana-4627	141	26	p.	p.	NOUN
cana-4627	141	27	10	10	NUM
cana-4627	141	28	.	.	PUNCT
cana-4627	142	1	[	[	X
cana-4627	142	2	12	12	NUM
cana-4627	142	3	]	]	X
cana-4627	142	4	n.	n.	PROPN
cana-4627	142	5	n.	n.	PROPN
cana-4627	142	6	p.	p.	PROPN
cana-4627	142	7	mkuzangwe	mkuzangwe	PROPN
cana-4627	142	8	,	,	PUNCT
cana-4627	142	9	f.	f.	PROPN
cana-4627	142	10	nelwamondo	nelwamondo	PROPN
cana-4627	142	11	,	,	PUNCT
cana-4627	142	12	n.	n.	PROPN
cana-4627	142	13	n.	n.	PROPN
cana-4627	142	14	p.	p.	PROPN
cana-4627	142	15	mkuzangwe	mkuzangwe	PROPN
cana-4627	142	16	,	,	PUNCT
cana-4627	142	17	and	and	CCONJ
cana-4627	142	18	f.	f.	PROPN
cana-4627	142	19	nelwamondo	nelwamondo	PROPN
cana-4627	142	20	,	,	PUNCT
cana-4627	142	21	“	"	PUNCT
cana-4627	142	22	ensemble	ensemble	ADJ
cana-4627	142	23	of	of	ADP
cana-4627	142	24	classifiers	classifier	NOUN
cana-4627	142	25	based	base	VERB
cana-4627	142	26	network	network	NOUN
cana-4627	142	27	intrusion	intrusion	NOUN
cana-4627	142	28	detection	detection	NOUN
cana-4627	142	29	system	system	NOUN
cana-4627	142	30	performance	performance	NOUN
cana-4627	142	31	bound	bind	VERB
cana-4627	142	32	,	,	PUNCT
cana-4627	142	33	”	"	PUNCT
cana-4627	142	34	in	in	ADP
cana-4627	142	35	2017	2017	NUM
cana-4627	142	36	4th	4th	ADJ
cana-4627	142	37	international	international	ADJ
cana-4627	142	38	conference	conference	NOUN
cana-4627	142	39	on	on	ADP
cana-4627	142	40	systems	system	NOUN
cana-4627	142	41	and	and	CCONJ
cana-4627	142	42	informatics	informatic	NOUN
cana-4627	142	43	(	(	PUNCT
cana-4627	142	44	icsai	icsai	PROPN
cana-4627	142	45	)	)	PUNCT
cana-4627	142	46	,	,	PUNCT
cana-4627	142	47	hangzhou	hangzhou	PROPN
cana-4627	142	48	,	,	PUNCT
cana-4627	142	49	nov	nov	PROPN
cana-4627	142	50	.	.	PROPN
cana-4627	142	51	2017	2017	NUM
cana-4627	142	52	,	,	PUNCT
cana-4627	142	53	pp	pp	ADJ
cana-4627	142	54	.	.	PUNCT
cana-4627	143	1	970	970	NUM
cana-4627	143	2	–	–	SYM
cana-4627	143	3	974	974	NUM
cana-4627	143	4	.	.	PUNCT
cana-4627	144	1	doi	doi	NOUN
cana-4627	144	2	:	:	PUNCT
cana-4627	144	3	10.1109	10.1109	NUM
cana-4627	144	4	/	/	SYM
cana-4627	144	5	icsai.2017.8248426	icsai.2017.8248426	NOUN
cana-4627	144	6	.	.	PUNCT
cana-4627	145	1	[	[	X
cana-4627	145	2	13	13	NUM
cana-4627	145	3	]	]	PUNCT
cana-4627	145	4	r.	r.	PROPN
cana-4627	145	5	e.	e.	PROPN
cana-4627	145	6	schapire	schapire	PROPN
cana-4627	145	7	,	,	PUNCT
cana-4627	145	8	“	"	PUNCT
cana-4627	145	9	the	the	DET
cana-4627	145	10	boosting	boost	VERB
cana-4627	145	11	approach	approach	NOUN
cana-4627	145	12	to	to	ADP
cana-4627	145	13	machine	machine	NOUN
cana-4627	145	14	learning	learning	NOUN
cana-4627	145	15	:	:	PUNCT
cana-4627	145	16	an	an	DET
cana-4627	145	17	overview	overview	NOUN
cana-4627	145	18	,	,	PUNCT
cana-4627	145	19	”	"	PUNCT
cana-4627	145	20	in	in	ADP
cana-4627	145	21	nonlinear	nonlinear	ADJ
cana-4627	145	22	estimation	estimation	NOUN
cana-4627	145	23	and	and	CCONJ
cana-4627	145	24	classification	classification	NOUN
cana-4627	145	25	,	,	PUNCT
cana-4627	145	26	vol	vol	NOUN
cana-4627	145	27	.	.	PROPN
cana-4627	145	28	171	171	NUM
cana-4627	145	29	,	,	PUNCT
cana-4627	145	30	d.	d.	PROPN
cana-4627	145	31	d.	d.	PROPN
cana-4627	145	32	denison	denison	PROPN
cana-4627	145	33	,	,	PUNCT
cana-4627	145	34	m.	m.	PROPN
cana-4627	145	35	h.	h.	PROPN
cana-4627	145	36	hansen	hansen	PROPN
cana-4627	145	37	,	,	PUNCT
cana-4627	145	38	c.	c.	PROPN
cana-4627	145	39	c.	c.	PROPN
cana-4627	145	40	holmes	holmes	PROPN
cana-4627	145	41	,	,	PUNCT
cana-4627	145	42	b.	b.	PROPN
cana-4627	145	43	mallick	mallick	PROPN
cana-4627	145	44	,	,	PUNCT
cana-4627	145	45	and	and	CCONJ
cana-4627	145	46	b.	b.	PROPN
cana-4627	145	47	yu	yu	PROPN
cana-4627	145	48	,	,	PUNCT
cana-4627	145	49	eds	eds	PROPN
cana-4627	145	50	.	.	PUNCT
cana-4627	145	51	new	new	PROPN
cana-4627	145	52	york	york	PROPN
cana-4627	145	53	,	,	PUNCT
cana-4627	145	54	ny	ny	PROPN
cana-4627	145	55	:	:	PUNCT
cana-4627	145	56	springer	springer	PROPN
cana-4627	145	57	new	new	PROPN
cana-4627	145	58	york	york	PROPN
cana-4627	145	59	,	,	PUNCT
cana-4627	145	60	2003	2003	NUM
cana-4627	145	61	,	,	PUNCT
cana-4627	145	62	pp	pp	ADP
cana-4627	145	63	.	.	PUNCT
cana-4627	146	1	149–171	149–171	NUM
cana-4627	146	2	.	.	PUNCT
cana-4627	147	1	doi	doi	NOUN
cana-4627	147	2	:	:	PUNCT
cana-4627	147	3	10.1007/978	10.1007/978	NUM
cana-4627	147	4	-	-	SYM
cana-4627	147	5	0	0	NUM
cana-4627	147	6	-	-	PUNCT
cana-4627	147	7	387	387	NUM
cana-4627	147	8	-	-	PUNCT
cana-4627	147	9	21579	21579	NUM
cana-4627	147	10	-	-	SYM
cana-4627	147	11	2_9	2_9	NUM
cana-4627	147	12	.	.	PUNCT
cana-4627	148	1	[	[	X
cana-4627	148	2	14	14	NUM
cana-4627	148	3	]	]	X
cana-4627	148	4	yan	yan	PROPN
cana-4627	148	5	-	-	PUNCT
cana-4627	148	6	shi	shi	PROPN
cana-4627	148	7	dong	dong	PROPN
cana-4627	148	8	and	and	CCONJ
cana-4627	148	9	ke	ke	NOUN
cana-4627	148	10	-	-	PUNCT
cana-4627	148	11	song	song	NOUN
cana-4627	148	12	han	han	PROPN
cana-4627	148	13	,	,	PUNCT
cana-4627	148	14	“	"	PUNCT
cana-4627	148	15	a	a	DET
cana-4627	148	16	comparison	comparison	NOUN
cana-4627	148	17	of	of	ADP
cana-4627	148	18	several	several	ADJ
cana-4627	148	19	ensemble	ensemble	ADJ
cana-4627	148	20	methods	method	NOUN
cana-4627	148	21	for	for	ADP
cana-4627	148	22	text	text	NOUN
cana-4627	148	23	categorization	categorization	NOUN
cana-4627	148	24	,	,	PUNCT
cana-4627	148	25	”	"	PUNCT
cana-4627	148	26	in	in	ADP
cana-4627	148	27	ieee	ieee	PROPN
cana-4627	148	28	international	international	PROPN
cana-4627	148	29	conference	conference	NOUN
cana-4627	148	30	onservices	onservice	NOUN
cana-4627	148	31	computing	compute	VERB
cana-4627	148	32	,	,	PUNCT
cana-4627	148	33	2004	2004	NUM
cana-4627	148	34	.	.	PUNCT
cana-4627	149	1	(	(	PUNCT
cana-4627	149	2	scc	scc	NOUN
cana-4627	149	3	2004	2004	NUM
cana-4627	149	4	)	)	PUNCT
cana-4627	149	5	.	.	PUNCT
cana-4627	150	1	proceedings	proceeding	NOUN
cana-4627	150	2	.	.	PUNCT
cana-4627	151	1	2004	2004	NUM
cana-4627	151	2	,	,	PUNCT
cana-4627	151	3	shanghai	shanghai	PROPN
cana-4627	151	4	,	,	PUNCT
cana-4627	151	5	china	china	PROPN
cana-4627	151	6	,	,	PUNCT
cana-4627	151	7	2004	2004	NUM
cana-4627	151	8	,	,	PUNCT
cana-4627	151	9	pp	pp	ADP
cana-4627	151	10	.	.	PUNCT
cana-4627	152	1	419–422	419–422	NUM
cana-4627	152	2	.	.	PUNCT
cana-4627	152	3	doi	doi	NOUN
cana-4627	152	4	:	:	PUNCT
cana-4627	152	5	10.1109	10.1109	NUM
cana-4627	152	6	/	/	SYM
cana-4627	152	7	scc.2004.1358033	scc.2004.1358033	NOUN
cana-4627	152	8	.	.	PUNCT
cana-4627	153	1	[	[	X
cana-4627	153	2	15	15	NUM
cana-4627	153	3	]	]	PUNCT
cana-4627	153	4	t.	t.	PROPN
cana-4627	153	5	g.	g.	PROPN
cana-4627	153	6	dietterich	dietterich	PROPN
cana-4627	153	7	,	,	PUNCT
cana-4627	153	8	“	"	PUNCT
cana-4627	153	9	machine	machine	NOUN
cana-4627	153	10	-	-	PUNCT
cana-4627	153	11	learning	learn	VERB
cana-4627	153	12	research	research	NOUN
cana-4627	153	13	,	,	PUNCT
cana-4627	153	14	”	"	PUNCT
cana-4627	153	15	p.	p.	NOUN
cana-4627	153	16	40	40	NUM
cana-4627	153	17	.	.	PUNCT
cana-4627	154	1	[	[	X
cana-4627	154	2	16	16	NUM
cana-4627	154	3	]	]	PUNCT
cana-4627	154	4	a.	a.	NOUN
cana-4627	154	5	m.	m.	NOUN
cana-4627	154	6	bamhdi	bamhdi	PROPN
cana-4627	154	7	,	,	PUNCT
cana-4627	154	8	i.	i.	PROPN
cana-4627	154	9	abrar	abrar	PROPN
cana-4627	154	10	,	,	PUNCT
cana-4627	154	11	and	and	CCONJ
cana-4627	154	12	f.	f.	PROPN
cana-4627	154	13	masoodi	masoodi	PROPN
cana-4627	154	14	,	,	PUNCT
cana-4627	154	15	“	"	PUNCT
cana-4627	154	16	an	an	DET
cana-4627	154	17	ensemble	ensemble	ADJ
cana-4627	154	18	based	base	VERB
cana-4627	154	19	approach	approach	NOUN
cana-4627	154	20	for	for	ADP
cana-4627	154	21	effective	effective	ADJ
cana-4627	154	22	intrusion	intrusion	NOUN
cana-4627	154	23	detection	detection	NOUN
cana-4627	154	24	using	use	VERB
cana-4627	154	25	majority	majority	NOUN
cana-4627	154	26	voting	voting	NOUN
cana-4627	154	27	,	,	PUNCT
cana-4627	154	28	”	"	PUNCT
cana-4627	154	29	telkomnika	telkomnika	NOUN
cana-4627	154	30	telecommun	telecommun	PROPN
cana-4627	154	31	.	.	PUNCT
cana-4627	155	1	comput	comput	PROPN
cana-4627	155	2	.	.	PUNCT
cana-4627	156	1	electron	electron	PROPN
cana-4627	156	2	.	.	PUNCT
cana-4627	157	1	control	control	PROPN
cana-4627	157	2	,	,	PUNCT
cana-4627	157	3	vol	vol	NOUN
cana-4627	157	4	.	.	PROPN
cana-4627	157	5	19	19	NUM
cana-4627	157	6	,	,	PUNCT
cana-4627	157	7	no	no	INTJ
cana-4627	157	8	.	.	NOUN
cana-4627	157	9	2	2	NUM
cana-4627	157	10	,	,	PUNCT
cana-4627	157	11	p.	p.	NOUN
cana-4627	157	12	664	664	NUM
cana-4627	157	13	,	,	PUNCT
cana-4627	157	14	apr	apr	NOUN
cana-4627	157	15	.	.	PROPN
cana-4627	157	16	2021	2021	NUM
cana-4627	157	17	,	,	PUNCT
cana-4627	157	18	doi	doi	NOUN
cana-4627	157	19	:	:	PUNCT
cana-4627	157	20	10.12928	10.12928	NUM
cana-4627	157	21	/	/	SYM
cana-4627	157	22	telkomnika.v19i2.18325	telkomnika.v19i2.18325	NOUN
cana-4627	157	23	.	.	PUNCT
cana-4627	158	1	authors	author	NOUN
cana-4627	158	2	'	'	PART
cana-4627	158	3	biographies	biography	NOUN
cana-4627	158	4	svsv	svsv	PROPN
cana-4627	158	5	prasad	prasad	PROPN
cana-4627	158	6	sanaboina	sanaboina	PROPN
cana-4627	158	7	pursuing	pursue	VERB
cana-4627	158	8	the	the	DET
cana-4627	158	9	ph.d	ph.d	PROPN
cana-4627	158	10	.	.	PUNCT
cana-4627	158	11	degree	degree	NOUN
cana-4627	158	12	in	in	ADP
cana-4627	158	13	computer	computer	NOUN
cana-4627	158	14	science	science	NOUN
cana-4627	158	15	and	and	CCONJ
cana-4627	158	16	engineering	engineering	NOUN
cana-4627	158	17	from	from	ADP
cana-4627	158	18	giet	giet	PROPN
cana-4627	158	19	university	university	PROPN
cana-4627	158	20	.	.	PUNCT
cana-4627	159	1	he	he	PRON
cana-4627	159	2	pursued	pursue	VERB
cana-4627	159	3	his	his	PRON
cana-4627	159	4	b.tech	b.tech	NOUN
cana-4627	159	5	in	in	ADP
cana-4627	159	6	csit	csit	NOUN
cana-4627	159	7	from	from	ADP
cana-4627	159	8	jnt	jnt	PROPN
cana-4627	159	9	university	university	PROPN
cana-4627	159	10	hyderabad	hyderabad	NOUN
cana-4627	159	11	,	,	PUNCT
cana-4627	159	12	m.tech	m.tech	NOUN
cana-4627	159	13	in	in	ADP
cana-4627	159	14	computer	computer	NOUN
cana-4627	159	15	science	science	NOUN
cana-4627	159	16	and	and	CCONJ
cana-4627	159	17	engineering	engineering	NOUN
cana-4627	159	18	from	from	ADP
cana-4627	159	19	jnt	jnt	PROPN
cana-4627	159	20	university	university	PROPN
cana-4627	159	21	hyderabad	hyderabad	PROPN
cana-4627	159	22	his	his	PRON
cana-4627	159	23	research	research	NOUN
cana-4627	159	24	areas	area	NOUN
cana-4627	159	25	include	include	VERB
cana-4627	159	26	network	network	NOUN
cana-4627	159	27	security	security	NOUN
cana-4627	159	28	,	,	PUNCT
cana-4627	159	29	machine	machine	NOUN
cana-4627	159	30	learning	learning	NOUN
cana-4627	159	31	.	.	PUNCT
cana-4627	160	1	he	he	PRON
cana-4627	160	2	has	have	AUX
cana-4627	160	3	published	publish	VERB
cana-4627	160	4	10	10	NUM
cana-4627	160	5	international	international	ADJ
cana-4627	160	6	journals	journal	NOUN
cana-4627	160	7	and	and	CCONJ
cana-4627	160	8	participated	participate	VERB
cana-4627	160	9	communications	communication	NOUN
cana-4627	160	10	on	on	ADP
cana-4627	160	11	applied	apply	VERB
cana-4627	160	12	nonlinear	nonlinear	ADJ
cana-4627	160	13	analysis	analysis	NOUN
cana-4627	160	14	issn	issn	NOUN
cana-4627	160	15	:	:	PUNCT
cana-4627	160	16	1074	1074	NUM
cana-4627	160	17	-	-	PUNCT
cana-4627	160	18	133x	133x	NUM
cana-4627	160	19	vol	vol	NOUN
cana-4627	160	20	32	32	NUM
cana-4627	160	21	no	no	NOUN
cana-4627	160	22	.	.	NOUN
cana-4627	160	23	3	3	NUM
cana-4627	160	24	(	(	PUNCT
cana-4627	160	25	2025	2025	NUM
cana-4627	160	26	)	)	PUNCT
cana-4627	160	27	878	878	NUM
cana-4627	160	28	https://internationalpubls.com	https://internationalpubls.com	X
cana-4627	160	29	in	in	ADP
cana-4627	160	30	one	one	NUM
cana-4627	160	31	international	international	ADJ
cana-4627	160	32	conference	conference	NOUN
cana-4627	160	33	.	.	PUNCT
cana-4627	161	1	he	he	PRON
cana-4627	161	2	attended	attend	VERB
cana-4627	161	3	and	and	CCONJ
cana-4627	161	4	conducted	conduct	VERB
cana-4627	161	5	many	many	ADJ
cana-4627	161	6	workshops	workshop	NOUN
cana-4627	161	7	in	in	ADP
cana-4627	161	8	different	different	ADJ
cana-4627	161	9	areas	area	NOUN
cana-4627	161	10	.	.	PUNCT
cana-4627	162	1	dr.chandra	dr.chandra	PROPN
cana-4627	162	2	naik	naik	PROPN
cana-4627	162	3	merajothu	merajothu	PROPN
cana-4627	162	4	is	be	AUX
cana-4627	162	5	currently	currently	ADV
cana-4627	162	6	serving	serve	VERB
cana-4627	162	7	as	as	ADP
cana-4627	162	8	an	an	DET
cana-4627	162	9	professor	professor	NOUN
cana-4627	162	10	of	of	ADP
cana-4627	162	11	computer	computer	NOUN
cana-4627	162	12	science	science	NOUN
cana-4627	162	13	and	and	CCONJ
cana-4627	162	14	engineering	engineering	NOUN
cana-4627	162	15	department	department	PROPN
cana-4627	162	16	,	,	PUNCT
cana-4627	162	17	giet	giet	PROPN
cana-4627	162	18	university	university	PROPN
cana-4627	162	19	.	.	PUNCT
cana-4627	163	1	he	he	PRON
cana-4627	163	2	has	have	AUX
cana-4627	163	3	earned	earn	VERB
cana-4627	163	4	his	his	PRON
cana-4627	163	5	ph.d	ph.d	PROPN
cana-4627	163	6	.	.	PUNCT
cana-4627	163	7	degree	degree	PROPN
cana-4627	163	8	from	from	ADP
cana-4627	163	9	computer	computer	NOUN
cana-4627	163	10	science	science	NOUN
cana-4627	163	11	and	and	CCONJ
cana-4627	163	12	engineering	engineering	NOUN
cana-4627	163	13	from	from	ADP
cana-4627	163	14	andhra	andhra	PROPN
cana-4627	163	15	university	university	PROPN
cana-4627	163	16	,	,	PUNCT
cana-4627	163	17	the	the	DET
cana-4627	163	18	domain	domain	NOUN
cana-4627	163	19	of	of	ADP
cana-4627	163	20	mobile	mobile	ADJ
cana-4627	163	21	computing	computing	NOUN
cana-4627	163	22	ad	ad	NOUN
cana-4627	163	23	hoc	hoc	X
cana-4627	163	24	network	network	NOUN
cana-4627	163	25	in	in	ADP
cana-4627	163	26	the	the	DET
cana-4627	163	27	year	year	NOUN
cana-4627	163	28	2014	2014	NUM
cana-4627	163	29	.	.	PUNCT
cana-4627	164	1	he	he	PRON
cana-4627	164	2	has	have	AUX
cana-4627	164	3	obtained	obtain	VERB
cana-4627	164	4	her	her	PRON
cana-4627	164	5	m.tech	m.tech	NOUN
cana-4627	164	6	degree	degree	NOUN
cana-4627	164	7	in	in	ADP
cana-4627	164	8	computer	computer	NOUN
cana-4627	164	9	science	science	NOUN
cana-4627	164	10	and	and	CCONJ
cana-4627	164	11	engineering	engineering	NOUN
cana-4627	164	12	from	from	ADP
cana-4627	164	13	jntuk	jntuk	PROPN
cana-4627	164	14	campus	campus	PROPN
cana-4627	164	15	with	with	ADP
cana-4627	164	16	the	the	DET
cana-4627	164	17	specialization	specialization	NOUN
cana-4627	164	18	mobile	mobile	PROPN
cana-4627	164	19	computing	compute	VERB
cana-4627	164	20	network	network	NOUN
cana-4627	164	21	in	in	ADP
cana-4627	164	22	the	the	DET
cana-4627	164	23	year	year	NOUN
cana-4627	164	24	2009	2009	NUM
cana-4627	164	25	and	and	CCONJ
cana-4627	164	26	b.tech	b.tech	ADJ
cana-4627	164	27	degree	degree	NOUN
cana-4627	164	28	in	in	ADP
cana-4627	164	29	computer	computer	NOUN
cana-4627	164	30	science	science	NOUN
cana-4627	164	31	and	and	CCONJ
cana-4627	164	32	engineering	engineering	NOUN
cana-4627	164	33	from	from	ADP
cana-4627	164	34	andhra	andhra	PROPN
cana-4627	164	35	university	university	PROPN
cana-4627	164	36	in	in	ADP
cana-4627	164	37	the	the	DET
cana-4627	164	38	year	year	NOUN
cana-4627	164	39	2002	2002	NUM
cana-4627	164	40	.	.	PUNCT
cana-4627	165	1	his	his	PRON
cana-4627	165	2	research	research	NOUN
cana-4627	165	3	interests	interest	NOUN
cana-4627	165	4	include	include	VERB
cana-4627	165	5	mobile	mobile	ADJ
cana-4627	165	6	computing	computing	NOUN
cana-4627	165	7	and	and	CCONJ
cana-4627	165	8	ad	ad	X
cana-4627	165	9	hoc	hoc	X
cana-4627	165	10	networks	network	NOUN
cana-4627	165	11	.	.	PUNCT
cana-4627	166	1	dr.chandra	dr.chandra	PROPN
cana-4627	166	2	naik	naik	PROPN
cana-4627	166	3	merajothu	merajothu	PROPN
cana-4627	166	4	has	have	AUX
cana-4627	166	5	published	publish	VERB
cana-4627	166	6	many	many	ADJ
cana-4627	166	7	articles	article	NOUN
cana-4627	166	8	in	in	ADP
cana-4627	166	9	sci	sci	PROPN
cana-4627	166	10	and	and	CCONJ
cana-4627	166	11	scopus	scopus	PROPN
cana-4627	166	12	indexed	index	VERB
cana-4627	166	13	journal	journal	NOUN
cana-4627	166	14	such	such	ADJ
cana-4627	166	15	as	as	ADP
cana-4627	166	16	elsevier	elsevier	NOUN
cana-4627	166	17	,	,	PUNCT
cana-4627	166	18	springer	springer	NOUN
cana-4627	166	19	and	and	CCONJ
cana-4627	166	20	willey	willey	NOUN
cana-4627	166	21	for	for	ADP
cana-4627	166	22	his	his	PRON
cana-4627	166	23	research	research	NOUN
cana-4627	166	24	credit	credit	NOUN
cana-4627	166	25	.	.	PUNCT
cana-4627	167	1	he	he	PRON
cana-4627	167	2	has	have	AUX
cana-4627	167	3	authored	author	VERB
cana-4627	167	4	and	and	CCONJ
cana-4627	167	5	co	co	VERB
cana-4627	167	6	-	-	VERB
cana-4627	167	7	authored	author	VERB
cana-4627	167	8	more	more	ADJ
cana-4627	167	9	than	than	ADP
cana-4627	167	10	40	40	NUM
cana-4627	167	11	journal	journal	NOUN
cana-4627	167	12	and	and	CCONJ
cana-4627	167	13	conferences	conference	NOUN
cana-4627	167	14	in	in	ADP
cana-4627	167	15	national	national	ADJ
cana-4627	167	16	and	and	CCONJ
cana-4627	167	17	international	international	ADJ
cana-4627	167	18	levels	level	NOUN
cana-4627	167	19	.	.	PUNCT
cana-4627	168	1	he	he	PRON
cana-4627	168	2	is	be	AUX
cana-4627	168	3	an	an	DET
cana-4627	168	4	active	active	ADJ
cana-4627	168	5	reviewer	reviewer	NOUN
cana-4627	168	6	of	of	ADP
cana-4627	168	7	several	several	ADJ
cana-4627	168	8	international	international	ADJ
cana-4627	168	9	conferences	conference	NOUN
cana-4627	168	10	.	.	PUNCT
cana-4627	169	1	his	his	PRON
cana-4627	169	2	total	total	ADJ
cana-4627	169	3	teaching	teaching	NOUN
cana-4627	169	4	experience	experience	NOUN
cana-4627	169	5	is	be	AUX
cana-4627	169	6	18	18	NUM
cana-4627	169	7	years	year	NOUN
cana-4627	169	8	.	.	PUNCT
cana-4627	170	1	he	he	PRON
cana-4627	170	2	is	be	AUX
cana-4627	170	3	a	a	DET
cana-4627	170	4	self	self	NOUN
cana-4627	170	5	-	-	PUNCT
cana-4627	170	6	motivated	motivate	VERB
cana-4627	170	7	person	person	NOUN
cana-4627	170	8	with	with	ADP
cana-4627	170	9	leadership	leadership	NOUN
cana-4627	170	10	nature	nature	NOUN
cana-4627	170	11	and	and	CCONJ
cana-4627	170	12	confidence	confidence	NOUN
cana-4627	170	13	in	in	ADP
cana-4627	170	14	taking	take	VERB
cana-4627	170	15	various	various	ADJ
cana-4627	170	16	initiatives	initiative	NOUN
cana-4627	170	17	for	for	ADP
cana-4627	170	18	departmental	departmental	ADJ
cana-4627	170	19	development	development	NOUN
cana-4627	170	20	dr.k	dr.k	ADV
cana-4627	170	21	rajiv	rajiv	PROPN
cana-4627	170	22	is	be	AUX
cana-4627	170	23	currently	currently	ADV
cana-4627	170	24	serving	serve	VERB
cana-4627	170	25	as	as	ADP
cana-4627	170	26	an	an	DET
cana-4627	170	27	associate	associate	ADJ
cana-4627	170	28	professor	professor	NOUN
cana-4627	170	29	depertment	depertment	NOUN
cana-4627	170	30	of	of	ADP
cana-4627	170	31	information	information	NOUN
cana-4627	170	32	technology	technology	NOUN
cana-4627	170	33	,	,	PUNCT
cana-4627	170	34	gokaraju	gokaraju	VERB
cana-4627	170	35	rangaraju	rangaraju	PROPN
cana-4627	170	36	institute	institute	PROPN
cana-4627	170	37	of	of	ADP
cana-4627	170	38	engineering	engineering	PROPN
cana-4627	170	39	&	&	CCONJ
cana-4627	170	40	technology	technology	PROPN
cana-4627	170	41	(	(	PUNCT
cana-4627	170	42	griet	griet	PROPN
cana-4627	170	43	)	)	PUNCT
cana-4627	170	44	.	.	PUNCT
cana-4627	171	1	he	he	PRON
cana-4627	171	2	has	have	AUX
cana-4627	171	3	earned	earn	VERB
cana-4627	171	4	his	his	PRON
cana-4627	171	5	ph.d	ph.d	PROPN
cana-4627	171	6	.	.	PUNCT
cana-4627	171	7	degree	degree	NOUN
cana-4627	171	8	in	in	ADP
cana-4627	171	9	computer	computer	NOUN
cana-4627	171	10	science	science	NOUN
cana-4627	171	11	and	and	CCONJ
cana-4627	171	12	engineering	engineering	NOUN
cana-4627	171	13	from	from	ADP
cana-4627	171	14	acharya	acharya	PROPN
cana-4627	171	15	nagarjuna	nagarjuna	PROPN
cana-4627	171	16	university	university	PROPN
cana-4627	171	17	,	,	PUNCT
cana-4627	171	18	guntur	guntur	PROPN
cana-4627	171	19	andhra	andhra	PROPN
cana-4627	171	20	university	university	PROPN
cana-4627	171	21	,	,	PUNCT
cana-4627	171	22	the	the	DET
cana-4627	171	23	domain	domain	NOUN
cana-4627	171	24	of	of	ADP
cana-4627	171	25	feature	feature	NOUN
cana-4627	171	26	detection	detection	NOUN
cana-4627	171	27	of	of	ADP
cana-4627	171	28	gpr	gpr	PROPN
cana-4627	171	29	images	image	NOUN
cana-4627	171	30	-	-	PUNCT
cana-4627	171	31	comparison	comparison	NOUN
cana-4627	171	32	with	with	ADP
cana-4627	171	33	3d	3d	PROPN
cana-4627	171	34	synthetic	synthetic	ADJ
cana-4627	171	35	data	datum	NOUN
cana-4627	171	36	in	in	ADP
cana-4627	171	37	the	the	DET
cana-4627	171	38	year	year	NOUN
cana-4627	171	39	2019	2019	NUM
cana-4627	171	40	.	.	PUNCT
cana-4627	172	1	he	he	PRON
cana-4627	172	2	has	have	AUX
cana-4627	172	3	obtained	obtain	VERB
cana-4627	172	4	her	her	PRON
cana-4627	172	5	m.tech	m.tech	NOUN
cana-4627	172	6	degree	degree	NOUN
cana-4627	172	7	in	in	ADP
cana-4627	172	8	computer	computer	NOUN
cana-4627	172	9	science	science	NOUN
cana-4627	172	10	and	and	CCONJ
cana-4627	172	11	engineering	engineering	NOUN
cana-4627	172	12	from	from	ADP
cana-4627	172	13	andhra	andhra	PROPN
cana-4627	172	14	university	university	PROPN
cana-4627	172	15	visakhapatnam	visakhapatnam	PROPN
cana-4627	172	16	in	in	ADP
cana-4627	172	17	the	the	DET
cana-4627	172	18	year	year	NOUN
cana-4627	172	19	2010	2010	NUM
cana-4627	172	20	and	and	CCONJ
cana-4627	172	21	b.tech	b.tech	ADJ
cana-4627	172	22	degree	degree	NOUN
cana-4627	172	23	in	in	ADP
cana-4627	172	24	information	information	NOUN
cana-4627	172	25	technology	technology	NOUN
cana-4627	172	26	from	from	ADP
cana-4627	172	27	scet	scet	ADJ
cana-4627	172	28	,	,	PUNCT
cana-4627	172	29	narsapur	narsapur	NOUN
cana-4627	172	30	affiliated	affiliate	VERB
cana-4627	172	31	to	to	PART
cana-4627	172	32	jntuh	jntuh	VERB
cana-4627	172	33	in	in	ADP
cana-4627	172	34	the	the	DET
cana-4627	172	35	year	year	NOUN
cana-4627	172	36	2008	2008	NUM
cana-4627	172	37	.	.	PUNCT
cana-4627	173	1	his	his	PRON
cana-4627	173	2	research	research	NOUN
cana-4627	173	3	interests	interest	NOUN
cana-4627	173	4	include	include	VERB
cana-4627	173	5	mobile	mobile	ADJ
cana-4627	173	6	computing	computing	NOUN
cana-4627	173	7	and	and	CCONJ
cana-4627	173	8	ad	ad	X
cana-4627	173	9	hoc	hoc	X
cana-4627	173	10	networks	network	NOUN
cana-4627	173	11	,	,	PUNCT
cana-4627	173	12	image	image	NOUN
cana-4627	173	13	processing	processing	NOUN
cana-4627	173	14	and	and	CCONJ
cana-4627	173	15	machine	machine	NOUN
cana-4627	173	16	learning	learning	NOUN
cana-4627	173	17	technique	technique	NOUN
cana-4627	173	18	.	.	PUNCT
cana-4627	174	1	dr.k	dr.k	ADV
cana-4627	174	2	rajiv	rajiv	PROPN
cana-4627	174	3	has	have	AUX
cana-4627	174	4	published	publish	VERB
cana-4627	174	5	many	many	ADJ
cana-4627	174	6	articles	article	NOUN
cana-4627	174	7	in	in	ADP
cana-4627	174	8	sci	sci	PROPN
cana-4627	174	9	and	and	CCONJ
cana-4627	174	10	scopus	scopus	PROPN
cana-4627	174	11	indexed	index	VERB
cana-4627	174	12	journal	journal	NOUN
cana-4627	174	13	such	such	ADJ
cana-4627	174	14	as	as	ADP
cana-4627	174	15	elsevier	elsevier	NOUN
cana-4627	174	16	,	,	PUNCT
cana-4627	174	17	springer	springer	NOUN
cana-4627	174	18	and	and	CCONJ
cana-4627	174	19	willey	willey	NOUN
cana-4627	174	20	for	for	ADP
cana-4627	174	21	his	his	PRON
cana-4627	174	22	research	research	NOUN
cana-4627	174	23	credit	credit	NOUN
cana-4627	174	24	.	.	PUNCT
cana-4627	175	1	he	he	PRON
cana-4627	175	2	has	have	AUX
cana-4627	175	3	authored	author	VERB
cana-4627	175	4	and	and	CCONJ
cana-4627	175	5	co	co	VERB
cana-4627	175	6	-	-	VERB
cana-4627	175	7	authored	author	VERB
cana-4627	175	8	more	more	ADJ
cana-4627	175	9	than	than	ADP
cana-4627	175	10	20	20	NUM
cana-4627	175	11	journal	journal	NOUN
cana-4627	175	12	and	and	CCONJ
cana-4627	175	13	conferences	conference	NOUN
cana-4627	175	14	in	in	ADP
cana-4627	175	15	national	national	ADJ
cana-4627	175	16	and	and	CCONJ
cana-4627	175	17	international	international	ADJ
cana-4627	175	18	levels	level	NOUN
cana-4627	175	19	.	.	PUNCT
cana-4627	176	1	he	he	PRON
cana-4627	176	2	is	be	AUX
cana-4627	176	3	an	an	DET
cana-4627	176	4	active	active	ADJ
cana-4627	176	5	reviewer	reviewer	NOUN
cana-4627	176	6	of	of	ADP
cana-4627	176	7	several	several	ADJ
cana-4627	176	8	international	international	ADJ
cana-4627	176	9	conferences	conference	NOUN
cana-4627	176	10	.	.	PUNCT
cana-4627	177	1	his	his	PRON
cana-4627	177	2	total	total	ADJ
cana-4627	177	3	teaching	teaching	NOUN
cana-4627	177	4	experience	experience	NOUN
cana-4627	177	5	is	be	AUX
cana-4627	177	6	13	13	NUM
cana-4627	177	7	years	year	NOUN
cana-4627	177	8	.	.	PUNCT
cana-4627	178	1	he	he	PRON
cana-4627	178	2	is	be	AUX
cana-4627	178	3	a	a	DET
cana-4627	178	4	self	self	NOUN
cana-4627	178	5	-	-	PUNCT
cana-4627	178	6	motivated	motivate	VERB
cana-4627	178	7	person	person	NOUN
cana-4627	178	8	with	with	ADP
cana-4627	178	9	leadership	leadership	NOUN
cana-4627	178	10	nature	nature	NOUN
cana-4627	178	11	and	and	CCONJ
cana-4627	178	12	confidence	confidence	NOUN
cana-4627	178	13	in	in	ADP
cana-4627	178	14	taking	take	VERB
cana-4627	178	15	various	various	ADJ
cana-4627	178	16	initiatives	initiative	NOUN
cana-4627	178	17	for	for	ADP
cana-4627	178	18	departmental	departmental	ADJ
cana-4627	178	19	development	development	NOUN