id	sid	tid	token	lemma	pos
cana-5249	1	1	communications	communication	NOUN
cana-5249	1	2	on	on	ADP
cana-5249	1	3	applied	apply	VERB
cana-5249	1	4	nonlinear	nonlinear	ADJ
cana-5249	1	5	analysis	analysis	NOUN
cana-5249	1	6	issn	issn	NOUN
cana-5249	1	7	:	:	PUNCT
cana-5249	1	8	1074	1074	NUM
cana-5249	1	9	-	-	PUNCT
cana-5249	1	10	133x	133x	NUM
cana-5249	1	11	vol	vol	NOUN
cana-5249	1	12	31	31	NUM
cana-5249	1	13	no	no	NOUN
cana-5249	1	14	.	.	PUNCT
cana-5249	2	1	8s	8s	PROPN
cana-5249	2	2	(	(	PUNCT
cana-5249	2	3	2024	2024	NUM
cana-5249	2	4	)	)	PUNCT
cana-5249	2	5	922	922	NUM
cana-5249	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	2	7	network	network	NOUN
cana-5249	2	8	security	security	NOUN
cana-5249	2	9	by	by	ADP
cana-5249	2	10	modified	modified	ADJ
cana-5249	2	11	teacher	teacher	NOUN
cana-5249	2	12	learning	learn	VERB
cana-5249	2	13	optimized	optimize	VERB
cana-5249	2	14	features	feature	NOUN
cana-5249	2	15	and	and	CCONJ
cana-5249	2	16	ensemble	ensemble	ADJ
cana-5249	2	17	model	model	NOUN
cana-5249	2	18	1apoorva	1apoorva	NUM
cana-5249	2	19	patil	patil	PROPN
cana-5249	2	20	,	,	PUNCT
cana-5249	2	21	2	2	NUM
cana-5249	2	22	.	.	X
cana-5249	2	23	dr	dr	PROPN
cana-5249	2	24	.	.	PROPN
cana-5249	2	25	ankit	ankit	PROPN
cana-5249	2	26	pandit	pandit	PROPN
cana-5249	2	27	,	,	PUNCT
cana-5249	2	28	3.dr	3.dr	NUM
cana-5249	2	29	.	.	PUNCT
cana-5249	3	1	sanjeev	sanjeev	PROPN
cana-5249	3	2	kumar	kumar	PROPN
cana-5249	3	3	gupta	gupta	PROPN
cana-5249	3	4	,	,	PUNCT
cana-5249	3	5	4	4	NUM
cana-5249	3	6	.	.	X
cana-5249	3	7	dr	dr	PROPN
cana-5249	3	8	.	.	PROPN
cana-5249	3	9	laxmi	laxmi	PROPN
cana-5249	3	10	singh	singh	PROPN
cana-5249	3	11	research	research	PROPN
cana-5249	3	12	scholar	scholar	NOUN
cana-5249	3	13	associate	associate	NOUN
cana-5249	3	14	professor	professor	NOUN
cana-5249	3	15	dean	dean	PROPN
cana-5249	3	16	faculty	faculty	NOUN
cana-5249	3	17	of	of	ADP
cana-5249	3	18	engineering	engineering	PROPN
cana-5249	3	19	hod	hod	PROPN
cana-5249	3	20	ece	ece	PROPN
cana-5249	3	21	1rntu	1rntu	NUM
cana-5249	3	22	bhopal	bhopal	NOUN
cana-5249	3	23	(	(	PUNCT
cana-5249	3	24	m.p	m.p	PROPN
cana-5249	3	25	)	)	PUNCT
cana-5249	3	26	rntu	rntu	NOUN
cana-5249	3	27	,	,	PUNCT
cana-5249	3	28	2bhopal	2bhopal	NUM
cana-5249	3	29	(	(	PUNCT
cana-5249	3	30	m.p	m.p	PROPN
cana-5249	3	31	)	)	PUNCT
cana-5249	3	32	rntu	rntu	NOUN
cana-5249	3	33	,	,	PUNCT
cana-5249	3	34	3bhopal	3bhopal	NUM
cana-5249	3	35	(	(	PUNCT
cana-5249	3	36	m.p	m.p	PROPN
cana-5249	3	37	)	)	PUNCT
cana-5249	3	38	rntu	rntu	NOUN
cana-5249	3	39	,	,	PUNCT
cana-5249	3	40	4bhopal	4bhopal	NUM
cana-5249	3	41	(	(	PUNCT
cana-5249	3	42	m.p	m.p	PROPN
cana-5249	3	43	)	)	PUNCT
cana-5249	3	44	apoorva4589@gmail.com	apoorva4589@gmail.com	PROPN
cana-5249	3	45	,	,	PUNCT
cana-5249	3	46	ankit.pandit@aisectuniversity.ac.in	ankit.pandit@aisectuniversity.ac.in	X
cana-5249	3	47	,	,	PUNCT
cana-5249	3	48	sanjeevkumar.gupta@aisectuniversity.ac.in	sanjeevkumar.gupta@aisectuniversity.ac.in	PUNCT
cana-5249	3	49	laxmi.singh@aisectuniversity.ac.in	laxmi.singh@aisectuniversity.ac.in	ADV
cana-5249	3	50	article	article	NOUN
cana-5249	3	51	history	history	NOUN
cana-5249	3	52	:	:	PUNCT
cana-5249	3	53	received	receive	VERB
cana-5249	3	54	:	:	PUNCT
cana-5249	3	55	12	12	NUM
cana-5249	3	56	-	-	SYM
cana-5249	3	57	10	10	NUM
cana-5249	3	58	-	-	PUNCT
cana-5249	3	59	2024	2024	NUM
cana-5249	3	60	revised	revise	VERB
cana-5249	3	61	:	:	PUNCT
cana-5249	3	62	15	15	NUM
cana-5249	3	63	-	-	SYM
cana-5249	3	64	11	11	NUM
cana-5249	3	65	-	-	PUNCT
cana-5249	3	66	2024	2024	NUM
cana-5249	3	67	accepted	accept	VERB
cana-5249	3	68	:	:	PUNCT
cana-5249	3	69	01	01	NUM
cana-5249	3	70	-	-	SYM
cana-5249	3	71	12	12	NUM
cana-5249	3	72	-	-	PUNCT
cana-5249	3	73	2024	2024	NUM
cana-5249	3	74	abstract	abstract	NOUN
cana-5249	3	75	:	:	PUNCT
cana-5249	3	76	network	network	NOUN
cana-5249	3	77	nodes	node	NOUN
cana-5249	3	78	have	have	AUX
cana-5249	3	79	limited	limit	VERB
cana-5249	3	80	energy	energy	NOUN
cana-5249	3	81	hence	hence	ADV
cana-5249	3	82	attacks	attack	NOUN
cana-5249	3	83	play	play	VERB
cana-5249	3	84	an	an	DET
cana-5249	3	85	role	role	NOUN
cana-5249	3	86	that	that	PRON
cana-5249	3	87	directly	directly	ADV
cana-5249	3	88	decreases	decrease	VERB
cana-5249	3	89	the	the	DET
cana-5249	3	90	life	life	NOUN
cana-5249	3	91	span	span	NOUN
cana-5249	3	92	of	of	ADP
cana-5249	3	93	network	network	NOUN
cana-5249	3	94	.	.	PUNCT
cana-5249	4	1	it	it	PRON
cana-5249	4	2	was	be	AUX
cana-5249	4	3	found	find	VERB
cana-5249	4	4	that	that	SCONJ
cana-5249	4	5	these	these	DET
cana-5249	4	6	kind	kind	NOUN
cana-5249	4	7	of	of	ADP
cana-5249	4	8	network	network	NOUN
cana-5249	4	9	is	be	AUX
cana-5249	4	10	vulnerable	vulnerable	ADJ
cana-5249	4	11	and	and	CCONJ
cana-5249	4	12	may	may	AUX
cana-5249	4	13	get	get	AUX
cana-5249	4	14	attacked	attack	VERB
cana-5249	4	15	easily	easily	ADV
cana-5249	4	16	hence	hence	ADV
cana-5249	4	17	researcher	researcher	NOUN
cana-5249	4	18	developed	develop	VERB
cana-5249	4	19	alarming	alarming	ADJ
cana-5249	4	20	security	security	NOUN
cana-5249	4	21	models	model	NOUN
cana-5249	4	22	.	.	PUNCT
cana-5249	5	1	most	most	ADJ
cana-5249	5	2	of	of	ADP
cana-5249	5	3	models	model	NOUN
cana-5249	5	4	are	be	AUX
cana-5249	5	5	lacking	lack	VERB
cana-5249	5	6	in	in	ADP
cana-5249	5	7	achieving	achieve	VERB
cana-5249	5	8	the	the	DET
cana-5249	5	9	accuracy	accuracy	NOUN
cana-5249	5	10	of	of	ADP
cana-5249	5	11	alarming	alarm	VERB
cana-5249	5	12	the	the	DET
cana-5249	5	13	attack	attack	NOUN
cana-5249	5	14	class	class	NOUN
cana-5249	5	15	.	.	PUNCT
cana-5249	6	1	this	this	DET
cana-5249	6	2	paper	paper	NOUN
cana-5249	6	3	has	have	AUX
cana-5249	6	4	proposed	propose	VERB
cana-5249	6	5	a	a	DET
cana-5249	6	6	model	model	NOUN
cana-5249	6	7	that	that	PRON
cana-5249	6	8	filter	filter	NOUN
cana-5249	6	9	input	input	NOUN
cana-5249	6	10	training	training	NOUN
cana-5249	6	11	data	datum	NOUN
cana-5249	6	12	by	by	ADP
cana-5249	6	13	modified	modified	ADJ
cana-5249	6	14	teacher	teacher	NOUN
cana-5249	6	15	learning	learn	VERB
cana-5249	6	16	model	model	NOUN
cana-5249	6	17	.	.	PUNCT
cana-5249	7	1	further	far	ADV
cana-5249	7	2	filtered	filter	VERB
cana-5249	7	3	features	feature	NOUN
cana-5249	7	4	were	be	AUX
cana-5249	7	5	transformed	transform	VERB
cana-5249	7	6	into	into	ADP
cana-5249	7	7	relevant	relevant	ADJ
cana-5249	7	8	pattern	pattern	NOUN
cana-5249	7	9	by	by	ADP
cana-5249	7	10	use	use	NOUN
cana-5249	7	11	of	of	ADP
cana-5249	7	12	nonnegative	nonnegative	ADJ
cana-5249	7	13	matrix	matrix	NOUN
cana-5249	7	14	factorization	factorization	NOUN
cana-5249	7	15	.	.	PUNCT
cana-5249	8	1	transformed	transform	VERB
cana-5249	8	2	network	network	NOUN
cana-5249	8	3	observation	observation	NOUN
cana-5249	8	4	values	value	NOUN
cana-5249	8	5	were	be	AUX
cana-5249	8	6	used	use	VERB
cana-5249	8	7	for	for	ADP
cana-5249	8	8	the	the	DET
cana-5249	8	9	training	training	NOUN
cana-5249	8	10	of	of	ADP
cana-5249	8	11	ensemble	ensemble	ADJ
cana-5249	8	12	model	model	NOUN
cana-5249	8	13	.	.	PUNCT
cana-5249	9	1	experiment	experiment	NOUN
cana-5249	9	2	was	be	AUX
cana-5249	9	3	done	do	VERB
cana-5249	9	4	on	on	ADP
cana-5249	9	5	real	real	ADJ
cana-5249	9	6	network	network	NOUN
cana-5249	9	7	dataset	dataset	VERB
cana-5249	9	8	and	and	CCONJ
cana-5249	9	9	result	result	NOUN
cana-5249	9	10	shows	show	VERB
cana-5249	9	11	that	that	SCONJ
cana-5249	9	12	use	use	NOUN
cana-5249	9	13	of	of	ADP
cana-5249	9	14	modified	modified	ADJ
cana-5249	9	15	teacher	teacher	NOUN
cana-5249	9	16	learning	learn	VERB
cana-5249	9	17	and	and	CCONJ
cana-5249	9	18	nonnegative	nonnegative	ADJ
cana-5249	9	19	matrix	matrix	NOUN
cana-5249	9	20	factorization	factorization	NOUN
cana-5249	9	21	has	have	AUX
cana-5249	9	22	increases	increase	VERB
cana-5249	9	23	the	the	DET
cana-5249	9	24	alarming	alarming	ADJ
cana-5249	9	25	accuracy	accuracy	NOUN
cana-5249	9	26	of	of	ADP
cana-5249	9	27	the	the	DET
cana-5249	9	28	attack	attack	NOUN
cana-5249	9	29	class	class	NOUN
cana-5249	9	30	as	as	ADV
cana-5249	9	31	well	well	ADV
cana-5249	9	32	.	.	PUNCT
cana-5249	10	1	keywords	keyword	NOUN
cana-5249	10	2	:	:	PUNCT
cana-5249	10	3	deep	deep	ADJ
cana-5249	10	4	learning	learning	NOUN
cana-5249	10	5	,	,	PUNCT
cana-5249	10	6	intrusion	intrusion	NOUN
cana-5249	10	7	detection	detection	NOUN
cana-5249	10	8	,	,	PUNCT
cana-5249	10	9	feature	feature	NOUN
cana-5249	10	10	optimization	optimization	NOUN
cana-5249	10	11	,	,	PUNCT
cana-5249	10	12	genetic	genetic	ADJ
cana-5249	10	13	algorithm	algorithm	NOUN
cana-5249	10	14	,	,	PUNCT
cana-5249	10	15	soft	soft	ADJ
cana-5249	10	16	computing	computing	NOUN
cana-5249	10	17	.	.	PUNCT
cana-5249	11	1	i.	i.	NOUN
cana-5249	11	2	introduction	introduction	NOUN
cana-5249	11	3	as	as	SCONJ
cana-5249	11	4	communication	communication	NOUN
cana-5249	11	5	technology	technology	NOUN
cana-5249	11	6	continues	continue	VERB
cana-5249	11	7	to	to	PART
cana-5249	11	8	evolve	evolve	VERB
cana-5249	11	9	,	,	PUNCT
cana-5249	11	10	network	network	NOUN
cana-5249	11	11	frameworks	framework	NOUN
cana-5249	11	12	have	have	AUX
cana-5249	11	13	become	become	VERB
cana-5249	11	14	essential	essential	ADJ
cana-5249	11	15	for	for	ADP
cana-5249	11	16	the	the	DET
cana-5249	11	17	seamless	seamless	ADJ
cana-5249	11	18	transportation	transportation	NOUN
cana-5249	11	19	of	of	ADP
cana-5249	11	20	diverse	diverse	ADJ
cana-5249	11	21	and	and	CCONJ
cana-5249	11	22	heterogeneous	heterogeneous	ADJ
cana-5249	11	23	information	information	NOUN
cana-5249	11	24	across	across	ADP
cana-5249	11	25	distributed	distribute	VERB
cana-5249	11	26	environments	environment	NOUN
cana-5249	11	27	[	[	X
cana-5249	11	28	1	1	NUM
cana-5249	11	29	]	]	PUNCT
cana-5249	11	30	.	.	PUNCT
cana-5249	12	1	among	among	ADP
cana-5249	12	2	these	these	PRON
cana-5249	12	3	,	,	PUNCT
cana-5249	12	4	wireless	wireless	ADJ
cana-5249	12	5	sensor	sensor	NOUN
cana-5249	12	6	networks	network	NOUN
cana-5249	12	7	(	(	PUNCT
cana-5249	12	8	wsns	wsns	NOUN
cana-5249	12	9	)	)	PUNCT
cana-5249	12	10	play	play	VERB
cana-5249	12	11	a	a	DET
cana-5249	12	12	critical	critical	ADJ
cana-5249	12	13	role	role	NOUN
cana-5249	12	14	in	in	ADP
cana-5249	12	15	enabling	enable	VERB
cana-5249	12	16	communication	communication	NOUN
cana-5249	12	17	through	through	ADP
cana-5249	12	18	interconnected	interconnected	ADJ
cana-5249	12	19	sensor	sensor	NOUN
cana-5249	12	20	nodes	node	NOUN
cana-5249	12	21	,	,	PUNCT
cana-5249	12	22	which	which	PRON
cana-5249	12	23	can	can	AUX
cana-5249	12	24	be	be	AUX
cana-5249	12	25	deployed	deploy	VERB
cana-5249	12	26	in	in	ADP
cana-5249	12	27	various	various	ADJ
cana-5249	12	28	topologies	topology	NOUN
cana-5249	12	29	such	such	ADJ
cana-5249	12	30	as	as	ADP
cana-5249	12	31	star	star	NOUN
cana-5249	12	32	,	,	PUNCT
cana-5249	12	33	tree	tree	NOUN
cana-5249	12	34	,	,	PUNCT
cana-5249	12	35	or	or	CCONJ
cana-5249	12	36	mesh	mesh	NOUN
cana-5249	12	37	configurations	configuration	NOUN
cana-5249	12	38	[	[	X
cana-5249	12	39	2	2	NUM
cana-5249	12	40	]	]	PUNCT
cana-5249	12	41	.	.	PUNCT
cana-5249	13	1	these	these	DET
cana-5249	13	2	networks	network	NOUN
cana-5249	13	3	are	be	AUX
cana-5249	13	4	designed	design	VERB
cana-5249	13	5	to	to	PART
cana-5249	13	6	sense	sense	VERB
cana-5249	13	7	,	,	PUNCT
cana-5249	13	8	collect	collect	VERB
cana-5249	13	9	,	,	PUNCT
cana-5249	13	10	and	and	CCONJ
cana-5249	13	11	transmit	transmit	VERB
cana-5249	13	12	data	datum	NOUN
cana-5249	13	13	across	across	ADP
cana-5249	13	14	wireless	wireless	ADJ
cana-5249	13	15	channels	channel	NOUN
cana-5249	13	16	while	while	SCONJ
cana-5249	13	17	efficiently	efficiently	ADV
cana-5249	13	18	managing	manage	VERB
cana-5249	13	19	network	network	NOUN
cana-5249	13	20	flow	flow	NOUN
cana-5249	13	21	.	.	PUNCT
cana-5249	14	1	the	the	DET
cana-5249	14	2	primary	primary	ADJ
cana-5249	14	3	functional	functional	ADJ
cana-5249	14	4	capabilities	capability	NOUN
cana-5249	14	5	of	of	ADP
cana-5249	14	6	wsns	wsns	NOUN
cana-5249	14	7	include	include	VERB
cana-5249	14	8	sensing	sense	VERB
cana-5249	14	9	,	,	PUNCT
cana-5249	14	10	processing	processing	NOUN
cana-5249	14	11	,	,	PUNCT
cana-5249	14	12	computation	computation	NOUN
cana-5249	14	13	,	,	PUNCT
cana-5249	14	14	and	and	CCONJ
cana-5249	14	15	communication	communication	NOUN
cana-5249	14	16	,	,	PUNCT
cana-5249	14	17	making	make	VERB
cana-5249	14	18	them	they	PRON
cana-5249	14	19	highly	highly	ADV
cana-5249	14	20	versatile	versatile	ADJ
cana-5249	14	21	for	for	ADP
cana-5249	14	22	a	a	DET
cana-5249	14	23	range	range	NOUN
cana-5249	14	24	of	of	ADP
cana-5249	14	25	applications	application	NOUN
cana-5249	14	26	[	[	X
cana-5249	14	27	3	3	NUM
cana-5249	14	28	]	]	PUNCT
cana-5249	14	29	.	.	PUNCT
cana-5249	15	1	wsns	wsns	PROPN
cana-5249	15	2	are	be	AUX
cana-5249	15	3	widely	widely	ADV
cana-5249	15	4	utilized	utilize	VERB
cana-5249	15	5	for	for	ADP
cana-5249	15	6	monitoring	monitoring	NOUN
cana-5249	15	7	,	,	PUNCT
cana-5249	15	8	security	security	NOUN
cana-5249	15	9	surveillance	surveillance	NOUN
cana-5249	15	10	,	,	PUNCT
cana-5249	15	11	and	and	CCONJ
cana-5249	15	12	tracking	tracking	NOUN
cana-5249	15	13	,	,	PUNCT
cana-5249	15	14	offering	offer	VERB
cana-5249	15	15	a	a	DET
cana-5249	15	16	cost	cost	NOUN
cana-5249	15	17	-	-	PUNCT
cana-5249	15	18	effective	effective	ADJ
cana-5249	15	19	platform	platform	NOUN
cana-5249	15	20	that	that	PRON
cana-5249	15	21	operates	operate	VERB
cana-5249	15	22	with	with	ADP
cana-5249	15	23	limited	limited	ADJ
cana-5249	15	24	energy	energy	NOUN
cana-5249	15	25	resources	resource	NOUN
cana-5249	15	26	while	while	SCONJ
cana-5249	15	27	ensuring	ensure	VERB
cana-5249	15	28	effective	effective	ADJ
cana-5249	15	29	wireless	wireless	ADJ
cana-5249	15	30	data	data	NOUN
cana-5249	15	31	transmission	transmission	NOUN
cana-5249	16	1	[	[	X
cana-5249	16	2	4	4	NUM
cana-5249	16	3	]	]	PUNCT
cana-5249	16	4	.	.	PUNCT
cana-5249	17	1	however	however	ADV
cana-5249	17	2	,	,	PUNCT
cana-5249	17	3	despite	despite	SCONJ
cana-5249	17	4	their	their	PRON
cana-5249	17	5	advantages	advantage	NOUN
cana-5249	17	6	,	,	PUNCT
cana-5249	17	7	wsns	wsns	NOUN
cana-5249	17	8	remain	remain	VERB
cana-5249	17	9	vulnerable	vulnerable	ADJ
cana-5249	17	10	to	to	ADP
cana-5249	17	11	unauthorized	unauthorized	ADJ
cana-5249	17	12	access	access	NOUN
cana-5249	17	13	and	and	CCONJ
cana-5249	17	14	cyber	cyber	NOUN
cana-5249	17	15	threats	threat	NOUN
cana-5249	17	16	,	,	PUNCT
cana-5249	17	17	which	which	PRON
cana-5249	17	18	can	can	AUX
cana-5249	17	19	originate	originate	VERB
cana-5249	17	20	from	from	ADP
cana-5249	17	21	both	both	CCONJ
cana-5249	17	22	internal	internal	ADJ
cana-5249	17	23	and	and	CCONJ
cana-5249	17	24	external	external	ADJ
cana-5249	17	25	sources	source	NOUN
cana-5249	17	26	.	.	PUNCT
cana-5249	18	1	intruders	intruder	NOUN
cana-5249	18	2	may	may	AUX
cana-5249	18	3	exploit	exploit	VERB
cana-5249	18	4	communications	communication	NOUN
cana-5249	18	5	on	on	ADP
cana-5249	18	6	applied	apply	VERB
cana-5249	18	7	nonlinear	nonlinear	ADJ
cana-5249	18	8	analysis	analysis	NOUN
cana-5249	18	9	issn	issn	NOUN
cana-5249	18	10	:	:	PUNCT
cana-5249	18	11	1074	1074	NUM
cana-5249	18	12	-	-	PUNCT
cana-5249	18	13	133x	133x	NUM
cana-5249	18	14	vol	vol	NOUN
cana-5249	18	15	31	31	NUM
cana-5249	18	16	no	no	NOUN
cana-5249	18	17	.	.	PUNCT
cana-5249	19	1	8s	8s	PROPN
cana-5249	19	2	(	(	PUNCT
cana-5249	19	3	2024	2024	NUM
cana-5249	19	4	)	)	PUNCT
cana-5249	19	5	923	923	NUM
cana-5249	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	19	7	security	security	NOUN
cana-5249	19	8	weaknesses	weakness	NOUN
cana-5249	19	9	in	in	ADP
cana-5249	19	10	the	the	DET
cana-5249	19	11	network	network	NOUN
cana-5249	19	12	,	,	PUNCT
cana-5249	19	13	necessitating	necessitate	VERB
cana-5249	19	14	the	the	DET
cana-5249	19	15	implementation	implementation	NOUN
cana-5249	19	16	of	of	ADP
cana-5249	19	17	robust	robust	ADJ
cana-5249	19	18	protection	protection	NOUN
cana-5249	19	19	mechanisms	mechanism	NOUN
cana-5249	19	20	for	for	ADP
cana-5249	19	21	securing	secure	VERB
cana-5249	19	22	sensor	sensor	NOUN
cana-5249	19	23	nodes	node	NOUN
cana-5249	19	24	and	and	CCONJ
cana-5249	19	25	ensuring	ensure	VERB
cana-5249	19	26	network	network	NOUN
cana-5249	19	27	integrity	integrity	NOUN
cana-5249	19	28	.	.	PUNCT
cana-5249	20	1	with	with	ADP
cana-5249	20	2	the	the	DET
cana-5249	20	3	growing	grow	VERB
cana-5249	20	4	attack	attack	NOUN
cana-5249	20	5	surface	surface	NOUN
cana-5249	20	6	in	in	ADP
cana-5249	20	7	modern	modern	ADJ
cana-5249	20	8	networks	network	NOUN
cana-5249	20	9	,	,	PUNCT
cana-5249	20	10	concerns	concern	NOUN
cana-5249	20	11	over	over	ADP
cana-5249	20	12	cybersecurity	cybersecurity	NOUN
cana-5249	20	13	have	have	AUX
cana-5249	20	14	escalated	escalate	VERB
cana-5249	20	15	,	,	PUNCT
cana-5249	20	16	leading	lead	VERB
cana-5249	20	17	to	to	ADP
cana-5249	20	18	extensive	extensive	ADJ
cana-5249	20	19	research	research	NOUN
cana-5249	20	20	on	on	ADP
cana-5249	20	21	network	network	NOUN
cana-5249	20	22	intrusion	intrusion	NOUN
cana-5249	20	23	detection	detection	NOUN
cana-5249	20	24	systems	system	NOUN
cana-5249	20	25	(	(	PUNCT
cana-5249	20	26	nidss	nidss	NOUN
cana-5249	20	27	)	)	PUNCT
cana-5249	20	28	aimed	aim	VERB
cana-5249	20	29	at	at	ADP
cana-5249	20	30	mitigating	mitigate	VERB
cana-5249	20	31	these	these	DET
cana-5249	20	32	threats	threat	NOUN
cana-5249	20	33	[	[	X
cana-5249	20	34	5	5	NUM
cana-5249	20	35	]	]	PUNCT
cana-5249	20	36	.	.	PUNCT
cana-5249	21	1	among	among	ADP
cana-5249	21	2	the	the	DET
cana-5249	21	3	different	different	ADJ
cana-5249	21	4	approaches	approach	NOUN
cana-5249	21	5	to	to	ADP
cana-5249	21	6	intrusion	intrusion	NOUN
cana-5249	21	7	detection	detection	NOUN
cana-5249	21	8	,	,	PUNCT
cana-5249	21	9	ai	ai	ADJ
cana-5249	21	10	-	-	PUNCT
cana-5249	21	11	driven	drive	VERB
cana-5249	21	12	anomaly	anomaly	NOUN
cana-5249	21	13	detection	detection	NOUN
cana-5249	21	14	frameworks	framework	NOUN
cana-5249	21	15	have	have	AUX
cana-5249	21	16	gained	gain	VERB
cana-5249	21	17	significant	significant	ADJ
cana-5249	21	18	attention	attention	NOUN
cana-5249	21	19	in	in	ADP
cana-5249	21	20	recent	recent	ADJ
cana-5249	21	21	years	year	NOUN
cana-5249	21	22	due	due	ADP
cana-5249	21	23	to	to	ADP
cana-5249	21	24	their	their	PRON
cana-5249	21	25	ability	ability	NOUN
cana-5249	21	26	to	to	PART
cana-5249	21	27	identify	identify	VERB
cana-5249	21	28	novel	novel	ADJ
cana-5249	21	29	and	and	CCONJ
cana-5249	21	30	sophisticated	sophisticated	ADJ
cana-5249	21	31	attacks	attack	NOUN
cana-5249	21	32	.	.	PUNCT
cana-5249	22	1	several	several	ADJ
cana-5249	22	2	techniques	technique	NOUN
cana-5249	22	3	have	have	AUX
cana-5249	22	4	been	be	AUX
cana-5249	22	5	proposed	propose	VERB
cana-5249	22	6	to	to	PART
cana-5249	22	7	enhance	enhance	VERB
cana-5249	22	8	the	the	DET
cana-5249	22	9	performance	performance	NOUN
cana-5249	22	10	of	of	ADP
cana-5249	22	11	nids	nid	NOUN
cana-5249	22	12	,	,	PUNCT
cana-5249	22	13	improving	improve	VERB
cana-5249	22	14	their	their	PRON
cana-5249	22	15	detection	detection	NOUN
cana-5249	22	16	accuracy	accuracy	NOUN
cana-5249	22	17	and	and	CCONJ
cana-5249	22	18	adaptability	adaptability	NOUN
cana-5249	22	19	.	.	PUNCT
cana-5249	23	1	however	however	ADV
cana-5249	23	2	,	,	PUNCT
cana-5249	23	3	one	one	NUM
cana-5249	23	4	of	of	ADP
cana-5249	23	5	the	the	DET
cana-5249	23	6	major	major	ADJ
cana-5249	23	7	challenges	challenge	NOUN
cana-5249	23	8	that	that	PRON
cana-5249	23	9	persist	persist	VERB
cana-5249	23	10	in	in	ADP
cana-5249	23	11	ai	ai	NOUN
cana-5249	23	12	-	-	PUNCT
cana-5249	23	13	based	base	VERB
cana-5249	23	14	nids	nid	NOUN
cana-5249	23	15	is	be	AUX
cana-5249	23	16	data	datum	NOUN
cana-5249	23	17	imbalance	imbalance	NOUN
cana-5249	23	18	,	,	PUNCT
cana-5249	23	19	which	which	PRON
cana-5249	23	20	adversely	adversely	ADV
cana-5249	23	21	affects	affect	VERB
cana-5249	23	22	the	the	DET
cana-5249	23	23	ability	ability	NOUN
cana-5249	23	24	of	of	ADP
cana-5249	23	25	machine	machine	NOUN
cana-5249	23	26	learning	learning	NOUN
cana-5249	23	27	models	model	NOUN
cana-5249	23	28	to	to	PART
cana-5249	23	29	effectively	effectively	ADV
cana-5249	23	30	recognize	recognize	VERB
cana-5249	23	31	malicious	malicious	ADJ
cana-5249	23	32	behaviors	behavior	NOUN
cana-5249	23	33	.	.	PUNCT
cana-5249	24	1	this	this	DET
cana-5249	24	2	issue	issue	NOUN
cana-5249	24	3	arises	arise	VERB
cana-5249	24	4	because	because	SCONJ
cana-5249	24	5	network	network	NOUN
cana-5249	24	6	datasets	dataset	NOUN
cana-5249	24	7	predominantly	predominantly	ADV
cana-5249	24	8	consist	consist	VERB
cana-5249	24	9	of	of	ADP
cana-5249	24	10	legitimate	legitimate	ADJ
cana-5249	24	11	traffic	traffic	NOUN
cana-5249	24	12	,	,	PUNCT
cana-5249	24	13	while	while	SCONJ
cana-5249	24	14	malicious	malicious	ADJ
cana-5249	24	15	activities	activity	NOUN
cana-5249	24	16	leading	lead	VERB
cana-5249	24	17	to	to	ADP
cana-5249	24	18	service	service	NOUN
cana-5249	24	19	disruptions	disruption	NOUN
cana-5249	24	20	are	be	AUX
cana-5249	24	21	relatively	relatively	ADV
cana-5249	24	22	rare	rare	ADJ
cana-5249	24	23	[	[	X
cana-5249	24	24	6	6	NUM
cana-5249	24	25	]	]	PUNCT
cana-5249	24	26	.	.	PUNCT
cana-5249	25	1	furthermore	furthermore	ADV
cana-5249	25	2	,	,	PUNCT
cana-5249	25	3	the	the	DET
cana-5249	25	4	dataset	dataset	NOUN
cana-5249	25	5	may	may	AUX
cana-5249	25	6	include	include	VERB
cana-5249	25	7	well	well	ADV
cana-5249	25	8	-	-	PUNCT
cana-5249	25	9	documented	document	VERB
cana-5249	25	10	attack	attack	NOUN
cana-5249	25	11	signatures	signature	NOUN
cana-5249	25	12	,	,	PUNCT
cana-5249	25	13	whereas	whereas	SCONJ
cana-5249	25	14	zero	zero	NUM
cana-5249	25	15	-	-	PUNCT
cana-5249	25	16	day	day	NOUN
cana-5249	25	17	attacks	attack	NOUN
cana-5249	25	18	or	or	CCONJ
cana-5249	25	19	previously	previously	ADV
cana-5249	25	20	unseen	unseen	ADJ
cana-5249	25	21	attack	attack	NOUN
cana-5249	25	22	patterns	pattern	NOUN
cana-5249	25	23	are	be	AUX
cana-5249	25	24	significantly	significantly	ADV
cana-5249	25	25	underrepresented	underrepresented	ADJ
cana-5249	25	26	,	,	PUNCT
cana-5249	25	27	making	make	VERB
cana-5249	25	28	it	it	PRON
cana-5249	25	29	difficult	difficult	ADJ
cana-5249	25	30	for	for	SCONJ
cana-5249	25	31	ai	ai	PROPN
cana-5249	25	32	models	model	NOUN
cana-5249	25	33	to	to	PART
cana-5249	25	34	generalize	generalize	VERB
cana-5249	25	35	effectively	effectively	ADV
cana-5249	25	36	[	[	X
cana-5249	25	37	7	7	NUM
cana-5249	25	38	]	]	PUNCT
cana-5249	25	39	.	.	PUNCT
cana-5249	26	1	an	an	DET
cana-5249	26	2	ids	id	NOUN
cana-5249	26	3	(	(	PUNCT
cana-5249	26	4	ids	id	NOUN
cana-5249	26	5	)	)	PUNCT
cana-5249	26	6	is	be	AUX
cana-5249	26	7	a	a	DET
cana-5249	26	8	security	security	NOUN
cana-5249	26	9	mechanism	mechanism	NOUN
cana-5249	26	10	designed	design	VERB
cana-5249	26	11	to	to	PART
cana-5249	26	12	monitor	monitor	VERB
cana-5249	26	13	network	network	NOUN
cana-5249	26	14	traffic	traffic	NOUN
cana-5249	26	15	and	and	CCONJ
cana-5249	26	16	detect	detect	VERB
cana-5249	26	17	malicious	malicious	ADJ
cana-5249	26	18	activities	activity	NOUN
cana-5249	26	19	by	by	ADP
cana-5249	26	20	identifying	identify	VERB
cana-5249	26	21	deviations	deviation	NOUN
cana-5249	26	22	from	from	ADP
cana-5249	26	23	expected	expect	VERB
cana-5249	26	24	behavior	behavior	NOUN
cana-5249	26	25	.	.	PUNCT
cana-5249	27	1	ids	id	NOUN
cana-5249	27	2	can	can	AUX
cana-5249	27	3	be	be	AUX
cana-5249	27	4	categorized	categorize	VERB
cana-5249	27	5	into	into	ADP
cana-5249	27	6	signaturebased	signaturebased	ADJ
cana-5249	27	7	and	and	CCONJ
cana-5249	27	8	anomaly	anomaly	NOUN
cana-5249	27	9	-	-	PUNCT
cana-5249	27	10	based	base	VERB
cana-5249	27	11	detection	detection	NOUN
cana-5249	27	12	.	.	PUNCT
cana-5249	28	1	the	the	DET
cana-5249	28	2	signature	signature	NOUN
cana-5249	28	3	-	-	PUNCT
cana-5249	28	4	based	base	VERB
cana-5249	28	5	approach	approach	NOUN
cana-5249	28	6	relies	rely	VERB
cana-5249	28	7	on	on	ADP
cana-5249	28	8	predefined	predefine	VERB
cana-5249	28	9	attack	attack	NOUN
cana-5249	28	10	patterns	pattern	NOUN
cana-5249	28	11	,	,	PUNCT
cana-5249	28	12	offering	offer	VERB
cana-5249	28	13	high	high	ADJ
cana-5249	28	14	accuracy	accuracy	NOUN
cana-5249	28	15	and	and	CCONJ
cana-5249	28	16	low	low	ADJ
cana-5249	28	17	false	false	ADJ
cana-5249	28	18	positive	positive	ADJ
cana-5249	28	19	rates	rate	NOUN
cana-5249	28	20	for	for	ADP
cana-5249	28	21	known	know	VERB
cana-5249	28	22	threats	threat	NOUN
cana-5249	28	23	but	but	CCONJ
cana-5249	28	24	failing	fail	VERB
cana-5249	28	25	to	to	PART
cana-5249	28	26	detect	detect	VERB
cana-5249	28	27	zero	zero	NUM
cana-5249	28	28	-	-	PUNCT
cana-5249	28	29	day	day	NOUN
cana-5249	28	30	attacks	attack	NOUN
cana-5249	28	31	without	without	ADP
cana-5249	28	32	frequent	frequent	ADJ
cana-5249	28	33	updates	update	NOUN
cana-5249	28	34	.	.	PUNCT
cana-5249	29	1	in	in	ADP
cana-5249	29	2	contrast	contrast	NOUN
cana-5249	29	3	,	,	PUNCT
cana-5249	29	4	the	the	DET
cana-5249	29	5	anomaly	anomaly	NOUN
cana-5249	29	6	-	-	PUNCT
cana-5249	29	7	based	base	VERB
cana-5249	29	8	approach	approach	NOUN
cana-5249	29	9	uses	use	VERB
cana-5249	29	10	statistical	statistical	ADJ
cana-5249	29	11	methods	method	NOUN
cana-5249	29	12	and	and	CCONJ
cana-5249	29	13	machine	machine	NOUN
cana-5249	29	14	learning	learn	VERB
cana-5249	29	15	algorithms	algorithm	NOUN
cana-5249	29	16	to	to	PART
cana-5249	29	17	identify	identify	VERB
cana-5249	29	18	unusual	unusual	ADJ
cana-5249	29	19	network	network	NOUN
cana-5249	29	20	behavior	behavior	NOUN
cana-5249	29	21	,	,	PUNCT
cana-5249	29	22	allowing	allow	VERB
cana-5249	29	23	it	it	PRON
cana-5249	29	24	to	to	PART
cana-5249	29	25	detect	detect	VERB
cana-5249	29	26	unknown	unknown	ADJ
cana-5249	29	27	threats	threat	NOUN
cana-5249	29	28	.	.	PUNCT
cana-5249	30	1	however	however	ADV
cana-5249	30	2	,	,	PUNCT
cana-5249	30	3	it	it	PRON
cana-5249	30	4	often	often	ADV
cana-5249	30	5	suffers	suffer	VERB
cana-5249	30	6	from	from	ADP
cana-5249	30	7	higher	high	ADJ
cana-5249	30	8	false	false	ADJ
cana-5249	30	9	positive	positive	ADJ
cana-5249	30	10	rates	rate	NOUN
cana-5249	30	11	due	due	ADP
cana-5249	30	12	to	to	ADP
cana-5249	30	13	the	the	DET
cana-5249	30	14	dynamic	dynamic	ADJ
cana-5249	30	15	nature	nature	NOUN
cana-5249	30	16	of	of	ADP
cana-5249	30	17	legitimate	legitimate	ADJ
cana-5249	30	18	traffic	traffic	NOUN
cana-5249	30	19	patterns	pattern	NOUN
cana-5249	30	20	[	[	X
cana-5249	30	21	8	8	NUM
cana-5249	30	22	]	]	PUNCT
cana-5249	30	23	.	.	PUNCT
cana-5249	31	1	the	the	DET
cana-5249	31	2	evolution	evolution	NOUN
cana-5249	31	3	of	of	ADP
cana-5249	31	4	machine	machine	NOUN
cana-5249	31	5	learning	learning	NOUN
cana-5249	31	6	(	(	PUNCT
cana-5249	31	7	ml	ml	NOUN
cana-5249	31	8	)	)	PUNCT
cana-5249	31	9	and	and	CCONJ
cana-5249	31	10	deep	deep	ADJ
cana-5249	31	11	learning	learning	NOUN
cana-5249	31	12	(	(	PUNCT
cana-5249	31	13	dl	dl	NOUN
cana-5249	31	14	)	)	PUNCT
cana-5249	31	15	techniques	technique	NOUN
cana-5249	31	16	has	have	AUX
cana-5249	31	17	significantly	significantly	ADV
cana-5249	31	18	enhanced	enhance	VERB
cana-5249	31	19	ids	id	NOUN
cana-5249	31	20	capabilities	capability	NOUN
cana-5249	31	21	,	,	PUNCT
cana-5249	31	22	enabling	enable	VERB
cana-5249	31	23	systems	system	NOUN
cana-5249	31	24	to	to	PART
cana-5249	31	25	adapt	adapt	VERB
cana-5249	31	26	and	and	CCONJ
cana-5249	31	27	learn	learn	VERB
cana-5249	31	28	autonomously	autonomously	ADV
cana-5249	31	29	from	from	ADP
cana-5249	31	30	network	network	NOUN
cana-5249	31	31	behavior	behavior	NOUN
cana-5249	31	32	.	.	PUNCT
cana-5249	32	1	deep	deep	ADJ
cana-5249	32	2	learning	learning	NOUN
cana-5249	32	3	models	model	NOUN
cana-5249	32	4	like	like	ADP
cana-5249	32	5	convolutional	convolutional	ADJ
cana-5249	32	6	neural	neural	ADJ
cana-5249	32	7	networks	network	NOUN
cana-5249	32	8	(	(	PUNCT
cana-5249	32	9	cnns	cnns	PROPN
cana-5249	32	10	)	)	PUNCT
cana-5249	32	11	and	and	CCONJ
cana-5249	32	12	recurrent	recurrent	ADJ
cana-5249	32	13	neural	neural	ADJ
cana-5249	32	14	networks	network	NOUN
cana-5249	32	15	(	(	PUNCT
cana-5249	32	16	rnns	rnns	PROPN
cana-5249	32	17	)	)	PUNCT
cana-5249	32	18	have	have	AUX
cana-5249	32	19	proven	prove	VERB
cana-5249	32	20	highly	highly	ADV
cana-5249	32	21	effective	effective	ADJ
cana-5249	32	22	in	in	ADP
cana-5249	32	23	detecting	detect	VERB
cana-5249	32	24	both	both	CCONJ
cana-5249	32	25	known	known	ADJ
cana-5249	32	26	and	and	CCONJ
cana-5249	32	27	emerging	emerge	VERB
cana-5249	32	28	threats	threat	NOUN
cana-5249	32	29	by	by	ADP
cana-5249	32	30	recognizing	recognize	VERB
cana-5249	32	31	complex	complex	ADJ
cana-5249	32	32	traffic	traffic	NOUN
cana-5249	32	33	patterns	pattern	NOUN
cana-5249	32	34	.	.	PUNCT
cana-5249	33	1	cnns	cnns	PROPN
cana-5249	33	2	excel	excel	VERB
cana-5249	33	3	in	in	ADP
cana-5249	33	4	extracting	extract	VERB
cana-5249	33	5	spatial	spatial	ADJ
cana-5249	33	6	features	feature	NOUN
cana-5249	33	7	,	,	PUNCT
cana-5249	33	8	while	while	SCONJ
cana-5249	33	9	rnns	rnn	NOUN
cana-5249	33	10	capture	capture	VERB
cana-5249	33	11	temporal	temporal	ADJ
cana-5249	33	12	dependencies	dependency	NOUN
cana-5249	33	13	,	,	PUNCT
cana-5249	33	14	improving	improve	VERB
cana-5249	33	15	detection	detection	NOUN
cana-5249	33	16	accuracy	accuracy	NOUN
cana-5249	33	17	.	.	PUNCT
cana-5249	34	1	these	these	DET
cana-5249	34	2	advancements	advancement	NOUN
cana-5249	34	3	have	have	AUX
cana-5249	34	4	made	make	VERB
cana-5249	34	5	ai	ai	ADJ
cana-5249	34	6	-	-	PUNCT
cana-5249	34	7	driven	drive	VERB
cana-5249	34	8	ids	id	NOUN
cana-5249	34	9	solutions	solution	NOUN
cana-5249	34	10	more	more	ADV
cana-5249	34	11	efficient	efficient	ADJ
cana-5249	34	12	and	and	CCONJ
cana-5249	34	13	robust	robust	ADJ
cana-5249	34	14	,	,	PUNCT
cana-5249	34	15	addressing	address	VERB
cana-5249	34	16	the	the	DET
cana-5249	34	17	growing	grow	VERB
cana-5249	34	18	challenges	challenge	NOUN
cana-5249	34	19	of	of	ADP
cana-5249	34	20	modern	modern	ADJ
cana-5249	34	21	cybersecurity	cybersecurity	NOUN
cana-5249	34	22	threats	threat	NOUN
cana-5249	34	23	[	[	X
cana-5249	34	24	9	9	NUM
cana-5249	34	25	]	]	PUNCT
cana-5249	34	26	.	.	PUNCT
cana-5249	35	1	this	this	DET
cana-5249	35	2	paper	paper	NOUN
cana-5249	35	3	has	have	AUX
cana-5249	35	4	identify	identify	VERB
cana-5249	35	5	few	few	ADJ
cana-5249	35	6	issues	issue	NOUN
cana-5249	35	7	:	:	PUNCT
cana-5249	35	8	•	•	ADP
cana-5249	35	9	most	most	ADJ
cana-5249	35	10	of	of	ADP
cana-5249	35	11	work	work	NOUN
cana-5249	35	12	only	only	ADV
cana-5249	35	13	identify	identify	VERB
cana-5249	35	14	attack	attack	NOUN
cana-5249	35	15	and	and	CCONJ
cana-5249	35	16	non	non	ADJ
cana-5249	35	17	-	-	ADJ
cana-5249	35	18	attack	attack	ADJ
cana-5249	35	19	class	class	NOUN
cana-5249	35	20	of	of	ADP
cana-5249	35	21	network	network	NOUN
cana-5249	35	22	session	session	NOUN
cana-5249	35	23	.	.	PUNCT
cana-5249	36	1	•	•	NUM
cana-5249	36	2	further	further	ADJ
cana-5249	36	3	calculation	calculation	NOUN
cana-5249	36	4	of	of	ADP
cana-5249	36	5	most	most	ADJ
cana-5249	36	6	of	of	ADP
cana-5249	36	7	work	work	NOUN
cana-5249	36	8	is	be	AUX
cana-5249	36	9	complex	complex	ADJ
cana-5249	36	10	and	and	CCONJ
cana-5249	36	11	time	time	NOUN
cana-5249	36	12	taken	take	VERB
cana-5249	36	13	.	.	PUNCT
cana-5249	37	1	•	•	NUM
cana-5249	37	2	improves	improve	VERB
cana-5249	37	3	the	the	DET
cana-5249	37	4	true	true	ADJ
cana-5249	37	5	alarm	alarm	NOUN
cana-5249	37	6	rate	rate	NOUN
cana-5249	37	7	with	with	ADP
cana-5249	37	8	intrusion	intrusion	NOUN
cana-5249	37	9	class	class	NOUN
cana-5249	37	10	efficiency	efficiency	NOUN
cana-5249	37	11	.	.	PUNCT
cana-5249	38	1	ii	ii	X
cana-5249	38	2	.	.	PROPN
cana-5249	38	3	related	relate	VERB
cana-5249	38	4	work	work	NOUN
cana-5249	38	5	papamartzivanos	papamartzivano	NOUN
cana-5249	38	6	et	et	PROPN
cana-5249	38	7	al	al	PROPN
cana-5249	38	8	.	.	PUNCT
cana-5249	39	1	[	[	X
cana-5249	39	2	10	10	NUM
cana-5249	39	3	]	]	PUNCT
cana-5249	39	4	introduced	introduce	VERB
cana-5249	39	5	an	an	DET
cana-5249	39	6	advanced	advanced	ADJ
cana-5249	39	7	approach	approach	NOUN
cana-5249	39	8	utilizing	utilize	VERB
cana-5249	39	9	the	the	DET
cana-5249	39	10	mape	mape	NOUN
cana-5249	39	11	-	-	PUNCT
cana-5249	39	12	k	k	PROPN
cana-5249	39	13	framework	framework	NOUN
cana-5249	39	14	to	to	PART
cana-5249	39	15	develop	develop	VERB
cana-5249	39	16	a	a	DET
cana-5249	39	17	misuse	misuse	NOUN
cana-5249	39	18	-	-	PUNCT
cana-5249	39	19	based	base	VERB
cana-5249	39	20	ids	id	NOUN
cana-5249	39	21	with	with	ADP
cana-5249	39	22	scalability	scalability	NOUN
cana-5249	39	23	,	,	PUNCT
cana-5249	39	24	self	self	NOUN
cana-5249	39	25	-	-	PUNCT
cana-5249	39	26	adaptability	adaptability	NOUN
cana-5249	39	27	,	,	PUNCT
cana-5249	39	28	and	and	CCONJ
cana-5249	39	29	autonomy	autonomy	NOUN
cana-5249	39	30	.	.	PUNCT
cana-5249	40	1	their	their	PRON
cana-5249	40	2	method	method	NOUN
cana-5249	40	3	is	be	AUX
cana-5249	40	4	capable	capable	ADJ
cana-5249	40	5	of	of	ADP
cana-5249	40	6	extracting	extract	VERB
cana-5249	40	7	generalized	generalized	ADJ
cana-5249	40	8	features	feature	NOUN
cana-5249	40	9	for	for	ADP
cana-5249	40	10	problem	problem	NOUN
cana-5249	40	11	reconstruction	reconstruction	NOUN
cana-5249	40	12	,	,	PUNCT
cana-5249	40	13	even	even	ADV
cana-5249	40	14	when	when	SCONJ
cana-5249	40	15	faced	face	VERB
cana-5249	40	16	with	with	ADP
cana-5249	40	17	unknown	unknown	ADJ
cana-5249	40	18	environments	environment	NOUN
cana-5249	40	19	and	and	CCONJ
cana-5249	40	20	unlabeled	unlabeled	ADJ
cana-5249	40	21	data	datum	NOUN
cana-5249	40	22	.	.	PUNCT
cana-5249	41	1	the	the	DET
cana-5249	41	2	researchers	researcher	NOUN
cana-5249	41	3	argue	argue	VERB
cana-5249	41	4	that	that	SCONJ
cana-5249	41	5	their	their	PRON
cana-5249	41	6	approach	approach	NOUN
cana-5249	41	7	is	be	AUX
cana-5249	41	8	effective	effective	ADJ
cana-5249	41	9	in	in	ADP
cana-5249	41	10	identifying	identify	VERB
cana-5249	41	11	communications	communication	NOUN
cana-5249	41	12	on	on	ADP
cana-5249	41	13	applied	apply	VERB
cana-5249	41	14	nonlinear	nonlinear	ADJ
cana-5249	41	15	analysis	analysis	NOUN
cana-5249	41	16	issn	issn	NOUN
cana-5249	41	17	:	:	PUNCT
cana-5249	41	18	1074	1074	NUM
cana-5249	41	19	-	-	PUNCT
cana-5249	41	20	133x	133x	NUM
cana-5249	41	21	vol	vol	NOUN
cana-5249	41	22	31	31	NUM
cana-5249	41	23	no	no	NOUN
cana-5249	41	24	.	.	PUNCT
cana-5249	42	1	8s	8s	PROPN
cana-5249	42	2	(	(	PUNCT
cana-5249	42	3	2024	2024	NUM
cana-5249	42	4	)	)	PUNCT
cana-5249	43	1	924	924	NUM
cana-5249	43	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	43	3	variant	variant	NOUN
cana-5249	43	4	attacks	attack	NOUN
cana-5249	43	5	by	by	ADP
cana-5249	43	6	understanding	understand	VERB
cana-5249	43	7	their	their	PRON
cana-5249	43	8	inherent	inherent	ADJ
cana-5249	43	9	nature	nature	NOUN
cana-5249	43	10	.	.	PUNCT
cana-5249	44	1	they	they	PRON
cana-5249	44	2	further	far	ADV
cana-5249	44	3	conducted	conduct	VERB
cana-5249	44	4	experiments	experiment	NOUN
cana-5249	44	5	demonstrating	demonstrate	VERB
cana-5249	44	6	that	that	SCONJ
cana-5249	44	7	their	their	PRON
cana-5249	44	8	method	method	NOUN
cana-5249	44	9	can	can	AUX
cana-5249	44	10	handle	handle	VERB
cana-5249	44	11	novel	novel	ADJ
cana-5249	44	12	attack	attack	NOUN
cana-5249	44	13	scenarios	scenario	NOUN
cana-5249	44	14	without	without	ADP
cana-5249	44	15	the	the	DET
cana-5249	44	16	need	need	NOUN
cana-5249	44	17	for	for	ADP
cana-5249	44	18	manual	manual	ADJ
cana-5249	44	19	updates	update	NOUN
cana-5249	44	20	to	to	ADP
cana-5249	44	21	the	the	DET
cana-5249	44	22	training	training	NOUN
cana-5249	44	23	dataset	dataset	NOUN
cana-5249	44	24	.	.	PUNCT
cana-5249	45	1	qaddoura	qaddoura	PROPN
cana-5249	45	2	et	et	PROPN
cana-5249	45	3	al	al	PROPN
cana-5249	45	4	.	.	PUNCT
cana-5249	46	1	[	[	X
cana-5249	46	2	11	11	NUM
cana-5249	46	3	]	]	PUNCT
cana-5249	46	4	proposed	propose	VERB
cana-5249	46	5	a	a	DET
cana-5249	46	6	deep	deep	ADJ
cana-5249	46	7	multilayer	multilayer	ADJ
cana-5249	46	8	intrusion	intrusion	NOUN
cana-5249	46	9	detection	detection	NOUN
cana-5249	46	10	method	method	NOUN
cana-5249	46	11	incorporating	incorporate	VERB
cana-5249	46	12	two	two	NUM
cana-5249	46	13	recognition	recognition	NOUN
cana-5249	46	14	stages	stage	NOUN
cana-5249	46	15	—	—	PUNCT
cana-5249	46	16	first	first	ADV
cana-5249	46	17	,	,	PUNCT
cana-5249	46	18	detecting	detect	VERB
cana-5249	46	19	an	an	DET
cana-5249	46	20	intrusion	intrusion	NOUN
cana-5249	46	21	's	's	PART
cana-5249	46	22	presence	presence	NOUN
cana-5249	46	23	,	,	PUNCT
cana-5249	46	24	and	and	CCONJ
cana-5249	46	25	second	second	ADJ
cana-5249	46	26	,	,	PUNCT
cana-5249	46	27	identifying	identify	VERB
cana-5249	46	28	the	the	DET
cana-5249	46	29	specific	specific	ADJ
cana-5249	46	30	type	type	NOUN
cana-5249	46	31	of	of	ADP
cana-5249	46	32	attack	attack	NOUN
cana-5249	46	33	.	.	PUNCT
cana-5249	47	1	additionally	additionally	ADV
cana-5249	47	2	,	,	PUNCT
cana-5249	47	3	the	the	DET
cana-5249	47	4	study	study	NOUN
cana-5249	47	5	introduced	introduce	VERB
cana-5249	47	6	an	an	DET
cana-5249	47	7	oversampling	oversampling	ADJ
cana-5249	47	8	technique	technique	NOUN
cana-5249	47	9	to	to	PART
cana-5249	47	10	ensure	ensure	VERB
cana-5249	47	11	improved	improved	ADJ
cana-5249	47	12	detection	detection	NOUN
cana-5249	47	13	accuracy	accuracy	NOUN
cana-5249	47	14	.	.	PUNCT
cana-5249	48	1	extensive	extensive	ADJ
cana-5249	48	2	experiments	experiment	NOUN
cana-5249	48	3	were	be	AUX
cana-5249	48	4	conducted	conduct	VERB
cana-5249	48	5	across	across	ADP
cana-5249	48	6	multiple	multiple	ADJ
cana-5249	48	7	conditions	condition	NOUN
cana-5249	48	8	for	for	ADP
cana-5249	48	9	both	both	DET
cana-5249	48	10	recognition	recognition	NOUN
cana-5249	48	11	phases	phase	NOUN
cana-5249	48	12	,	,	PUNCT
cana-5249	48	13	along	along	ADP
cana-5249	48	14	with	with	ADP
cana-5249	48	15	an	an	DET
cana-5249	48	16	evaluation	evaluation	NOUN
cana-5249	48	17	of	of	ADP
cana-5249	48	18	two	two	NUM
cana-5249	48	19	different	different	ADJ
cana-5249	48	20	oversampling	oversampling	ADJ
cana-5249	48	21	strategies	strategy	NOUN
cana-5249	48	22	to	to	PART
cana-5249	48	23	enhance	enhance	VERB
cana-5249	48	24	the	the	DET
cana-5249	48	25	quality	quality	NOUN
cana-5249	48	26	of	of	ADP
cana-5249	48	27	classification	classification	NOUN
cana-5249	48	28	results	result	NOUN
cana-5249	48	29	.	.	PUNCT
cana-5249	49	1	yao	yao	NOUN
cana-5249	49	2	et	et	PROPN
cana-5249	49	3	al	al	PROPN
cana-5249	49	4	.	.	PUNCT
cana-5249	50	1	[	[	X
cana-5249	50	2	12	12	NUM
cana-5249	50	3	]	]	PUNCT
cana-5249	50	4	explored	explore	VERB
cana-5249	50	5	a	a	DET
cana-5249	50	6	technique	technique	NOUN
cana-5249	50	7	combining	combine	VERB
cana-5249	50	8	principal	principal	ADJ
cana-5249	50	9	component	component	NOUN
cana-5249	50	10	analysis	analysis	NOUN
cana-5249	50	11	(	(	PUNCT
cana-5249	50	12	pca	pca	NOUN
cana-5249	50	13	)	)	PUNCT
cana-5249	50	14	with	with	ADP
cana-5249	50	15	a	a	DET
cana-5249	50	16	deep	deep	ADJ
cana-5249	50	17	convolutional	convolutional	ADJ
cana-5249	50	18	neural	neural	ADJ
cana-5249	50	19	network	network	NOUN
cana-5249	50	20	(	(	PUNCT
cana-5249	50	21	dcnn	dcnn	PROPN
cana-5249	50	22	)	)	PUNCT
cana-5249	50	23	for	for	ADP
cana-5249	50	24	detecting	detect	VERB
cana-5249	50	25	denial	denial	NOUN
cana-5249	50	26	-	-	PUNCT
cana-5249	50	27	of	of	ADP
cana-5249	50	28	-	-	PUNCT
cana-5249	50	29	service	service	NOUN
cana-5249	50	30	(	(	PUNCT
cana-5249	50	31	dos	do	NOUN
cana-5249	50	32	)	)	PUNCT
cana-5249	50	33	attacks	attack	NOUN
cana-5249	50	34	in	in	ADP
cana-5249	50	35	wireless	wireless	ADJ
cana-5249	50	36	sensor	sensor	NOUN
cana-5249	50	37	networks	network	NOUN
cana-5249	50	38	(	(	PUNCT
cana-5249	50	39	wsns	wsns	PROPN
cana-5249	50	40	)	)	PUNCT
cana-5249	50	41	,	,	PUNCT
cana-5249	50	42	which	which	PRON
cana-5249	50	43	often	often	ADV
cana-5249	50	44	suffer	suffer	VERB
cana-5249	50	45	from	from	ADP
cana-5249	50	46	storage	storage	NOUN
cana-5249	50	47	constraints	constraint	NOUN
cana-5249	50	48	.	.	PUNCT
cana-5249	51	1	their	their	PRON
cana-5249	51	2	approach	approach	NOUN
cana-5249	51	3	demonstrated	demonstrate	VERB
cana-5249	51	4	superior	superior	ADJ
cana-5249	51	5	feature	feature	NOUN
cana-5249	51	6	extraction	extraction	NOUN
cana-5249	51	7	capabilities	capability	NOUN
cana-5249	51	8	compared	compare	VERB
cana-5249	51	9	to	to	ADP
cana-5249	51	10	other	other	ADJ
cana-5249	51	11	deep	deep	ADJ
cana-5249	51	12	learning	learning	NOUN
cana-5249	51	13	architectures	architecture	NOUN
cana-5249	51	14	,	,	PUNCT
cana-5249	51	15	achieving	achieve	VERB
cana-5249	51	16	higher	high	ADJ
cana-5249	51	17	detection	detection	NOUN
cana-5249	51	18	accuracy	accuracy	NOUN
cana-5249	51	19	.	.	PUNCT
cana-5249	52	1	their	their	PRON
cana-5249	52	2	findings	finding	NOUN
cana-5249	52	3	emphasized	emphasize	VERB
cana-5249	52	4	that	that	SCONJ
cana-5249	52	5	integrating	integrate	VERB
cana-5249	52	6	learning	learning	NOUN
cana-5249	52	7	-	-	PUNCT
cana-5249	52	8	based	base	VERB
cana-5249	52	9	techniques	technique	NOUN
cana-5249	52	10	is	be	AUX
cana-5249	52	11	an	an	DET
cana-5249	52	12	effective	effective	ADJ
cana-5249	52	13	strategy	strategy	NOUN
cana-5249	52	14	for	for	ADP
cana-5249	52	15	detecting	detect	VERB
cana-5249	52	16	and	and	CCONJ
cana-5249	52	17	preventing	prevent	VERB
cana-5249	52	18	dos	do	NOUN
cana-5249	52	19	attacks	attack	NOUN
cana-5249	52	20	in	in	ADP
cana-5249	52	21	wsns	wsns	NOUN
cana-5249	52	22	while	while	SCONJ
cana-5249	52	23	considering	consider	VERB
cana-5249	52	24	the	the	DET
cana-5249	52	25	resource	resource	NOUN
cana-5249	52	26	limitations	limitation	NOUN
cana-5249	52	27	of	of	ADP
cana-5249	52	28	these	these	DET
cana-5249	52	29	devices	device	NOUN
cana-5249	52	30	.	.	PUNCT
cana-5249	53	1	gebremariam	gebremariam	PROPN
cana-5249	53	2	et	et	PROPN
cana-5249	53	3	al	al	PROPN
cana-5249	53	4	.	.	PUNCT
cana-5249	54	1	[	[	X
cana-5249	54	2	13	13	NUM
cana-5249	54	3	]	]	PUNCT
cana-5249	54	4	introduced	introduce	VERB
cana-5249	54	5	a	a	DET
cana-5249	54	6	neural	neural	ADJ
cana-5249	54	7	network	network	NOUN
cana-5249	54	8	-	-	PUNCT
cana-5249	54	9	based	base	VERB
cana-5249	54	10	ids	id	NOUN
cana-5249	54	11	using	use	VERB
cana-5249	54	12	a	a	DET
cana-5249	54	13	multi	multi	ADJ
cana-5249	54	14	-	-	ADJ
cana-5249	54	15	layer	layer	ADJ
cana-5249	54	16	perceptron	perceptron	NOUN
cana-5249	54	17	(	(	PUNCT
cana-5249	54	18	mlp	mlp	NOUN
cana-5249	54	19	)	)	PUNCT
cana-5249	54	20	artificial	artificial	ADJ
cana-5249	54	21	neural	neural	ADJ
cana-5249	54	22	network	network	NOUN
cana-5249	54	23	(	(	PUNCT
cana-5249	54	24	ann	ann	PROPN
cana-5249	54	25	)	)	PUNCT
cana-5249	54	26	.	.	PUNCT
cana-5249	55	1	the	the	DET
cana-5249	55	2	model	model	NOUN
cana-5249	55	3	was	be	AUX
cana-5249	55	4	trained	train	VERB
cana-5249	55	5	on	on	ADP
cana-5249	55	6	labeled	label	VERB
cana-5249	55	7	network	network	NOUN
cana-5249	55	8	traffic	traffic	NOUN
cana-5249	55	9	data	datum	NOUN
cana-5249	55	10	to	to	PART
cana-5249	55	11	recognize	recognize	VERB
cana-5249	55	12	attack	attack	NOUN
cana-5249	55	13	patterns	pattern	NOUN
cana-5249	55	14	and	and	CCONJ
cana-5249	55	15	later	later	ADV
cana-5249	55	16	applied	apply	VERB
cana-5249	55	17	to	to	ADP
cana-5249	55	18	real	real	ADJ
cana-5249	55	19	-	-	PUNCT
cana-5249	55	20	time	time	NOUN
cana-5249	55	21	traffic	traffic	NOUN
cana-5249	55	22	for	for	ADP
cana-5249	55	23	attack	attack	NOUN
cana-5249	55	24	detection	detection	NOUN
cana-5249	55	25	and	and	CCONJ
cana-5249	55	26	localization	localization	NOUN
cana-5249	55	27	.	.	PUNCT
cana-5249	56	1	the	the	DET
cana-5249	56	2	evaluation	evaluation	NOUN
cana-5249	56	3	,	,	PUNCT
cana-5249	56	4	conducted	conduct	VERB
cana-5249	56	5	through	through	ADP
cana-5249	56	6	simulated	simulate	VERB
cana-5249	56	7	attack	attack	NOUN
cana-5249	56	8	scenarios	scenario	NOUN
cana-5249	56	9	,	,	PUNCT
cana-5249	56	10	confirmed	confirm	VERB
cana-5249	56	11	the	the	DET
cana-5249	56	12	model	model	NOUN
cana-5249	56	13	's	's	PART
cana-5249	56	14	effectiveness	effectiveness	NOUN
cana-5249	56	15	in	in	ADP
cana-5249	56	16	both	both	PRON
cana-5249	56	17	identifying	identify	VERB
cana-5249	56	18	and	and	CCONJ
cana-5249	56	19	pinpointing	pinpoint	VERB
cana-5249	56	20	attacks	attack	NOUN
cana-5249	56	21	in	in	ADP
cana-5249	56	22	wsns	wsns	NOUN
cana-5249	56	23	.	.	PUNCT
cana-5249	57	1	their	their	PRON
cana-5249	57	2	findings	finding	NOUN
cana-5249	57	3	highlighted	highlight	VERB
cana-5249	57	4	the	the	DET
cana-5249	57	5	potential	potential	NOUN
cana-5249	57	6	of	of	ADP
cana-5249	57	7	anns	anns	NOUN
cana-5249	57	8	in	in	ADP
cana-5249	57	9	enhancing	enhance	VERB
cana-5249	57	10	network	network	NOUN
cana-5249	57	11	security	security	NOUN
cana-5249	57	12	by	by	ADP
cana-5249	57	13	improving	improve	VERB
cana-5249	57	14	attack	attack	NOUN
cana-5249	57	15	detection	detection	NOUN
cana-5249	57	16	and	and	CCONJ
cana-5249	57	17	localization	localization	NOUN
cana-5249	57	18	.	.	PUNCT
cana-5249	58	1	chen	chen	PROPN
cana-5249	58	2	et	et	PROPN
cana-5249	58	3	al	al	PROPN
cana-5249	58	4	.	.	PUNCT
cana-5249	59	1	[	[	X
cana-5249	59	2	14	14	NUM
cana-5249	59	3	]	]	PUNCT
cana-5249	59	4	developed	develop	VERB
cana-5249	59	5	httpsmell	httpsmell	ADJ
cana-5249	59	6	,	,	PUNCT
cana-5249	59	7	a	a	DET
cana-5249	59	8	novel	novel	ADJ
cana-5249	59	9	method	method	NOUN
cana-5249	59	10	for	for	ADP
cana-5249	59	11	detecting	detect	VERB
cana-5249	59	12	malicious	malicious	ADJ
cana-5249	59	13	http	http	NOUN
cana-5249	59	14	traffic	traffic	NOUN
cana-5249	59	15	by	by	ADP
cana-5249	59	16	leveraging	leverage	VERB
cana-5249	59	17	a	a	DET
cana-5249	59	18	dataset	dataset	NOUN
cana-5249	59	19	of	of	ADP
cana-5249	59	20	xss	xss	NOUN
cana-5249	59	21	attacks	attack	NOUN
cana-5249	59	22	sourced	source	VERB
cana-5249	59	23	from	from	ADP
cana-5249	59	24	github	github	PROPN
cana-5249	59	25	.	.	PUNCT
cana-5249	60	1	their	their	PRON
cana-5249	60	2	framework	framework	NOUN
cana-5249	60	3	automatically	automatically	ADV
cana-5249	60	4	applies	apply	VERB
cana-5249	60	5	a	a	DET
cana-5249	60	6	deep	deep	ADJ
cana-5249	60	7	learning	learning	NOUN
cana-5249	60	8	model	model	NOUN
cana-5249	60	9	with	with	ADP
cana-5249	60	10	high	high	ADJ
cana-5249	60	11	generalization	generalization	NOUN
cana-5249	60	12	ability	ability	NOUN
cana-5249	60	13	,	,	PUNCT
cana-5249	60	14	even	even	ADV
cana-5249	60	15	when	when	SCONJ
cana-5249	60	16	trained	train	VERB
cana-5249	60	17	on	on	ADP
cana-5249	60	18	limited	limited	ADJ
cana-5249	60	19	data	datum	NOUN
cana-5249	60	20	.	.	PUNCT
cana-5249	61	1	their	their	PRON
cana-5249	61	2	approach	approach	NOUN
cana-5249	61	3	incorporates	incorporate	VERB
cana-5249	61	4	semi	semi	ADJ
cana-5249	61	5	-	-	ADJ
cana-5249	61	6	supervised	supervised	ADJ
cana-5249	61	7	learning	learning	NOUN
cana-5249	61	8	,	,	PUNCT
cana-5249	61	9	utilizing	utilize	VERB
cana-5249	61	10	unsupervised	unsupervised	ADJ
cana-5249	61	11	data	datum	NOUN
cana-5249	61	12	augmentation	augmentation	NOUN
cana-5249	61	13	(	(	PUNCT
cana-5249	61	14	uda	uda	NOUN
cana-5249	61	15	)	)	PUNCT
cana-5249	61	16	and	and	CCONJ
cana-5249	61	17	keyword	keyword	NOUN
cana-5249	61	18	library	library	NOUN
cana-5249	61	19	avoidance	avoidance	NOUN
cana-5249	61	20	(	(	PUNCT
cana-5249	61	21	kla)-based	kla)-base	VERB
cana-5249	61	22	augmentation	augmentation	NOUN
cana-5249	61	23	,	,	PUNCT
cana-5249	61	24	leading	lead	VERB
cana-5249	61	25	to	to	ADP
cana-5249	61	26	higher	high	ADJ
cana-5249	61	27	generalization	generalization	NOUN
cana-5249	61	28	,	,	PUNCT
cana-5249	61	29	broader	broad	ADJ
cana-5249	61	30	scenario	scenario	NOUN
cana-5249	61	31	coverage	coverage	NOUN
cana-5249	61	32	,	,	PUNCT
cana-5249	61	33	and	and	CCONJ
cana-5249	61	34	improved	improved	ADJ
cana-5249	61	35	detection	detection	NOUN
cana-5249	61	36	efficiency	efficiency	NOUN
cana-5249	61	37	,	,	PUNCT
cana-5249	61	38	particularly	particularly	ADV
cana-5249	61	39	in	in	ADP
cana-5249	61	40	small	small	ADJ
cana-5249	61	41	datasets	dataset	NOUN
cana-5249	61	42	.	.	PUNCT
cana-5249	62	1	dash	dash	NOUN
cana-5249	62	2	et	et	NOUN
cana-5249	62	3	al	al	PROPN
cana-5249	62	4	.	.	PUNCT
cana-5249	63	1	[	[	X
cana-5249	63	2	15	15	NUM
cana-5249	63	3	]	]	PUNCT
cana-5249	63	4	proposed	propose	VERB
cana-5249	63	5	an	an	DET
cana-5249	63	6	optimized	optimize	VERB
cana-5249	63	7	long	long	ADJ
cana-5249	63	8	short	short	ADJ
cana-5249	63	9	-	-	PUNCT
cana-5249	63	10	term	term	NOUN
cana-5249	63	11	memory	memory	NOUN
cana-5249	63	12	(	(	PUNCT
cana-5249	63	13	lstm	lstm	NOUN
cana-5249	63	14	)	)	PUNCT
cana-5249	63	15	model	model	NOUN
cana-5249	63	16	for	for	ADP
cana-5249	63	17	network	network	NOUN
cana-5249	63	18	anomaly	anomaly	NOUN
cana-5249	63	19	detection	detection	NOUN
cana-5249	63	20	,	,	PUNCT
cana-5249	63	21	employing	employ	VERB
cana-5249	63	22	three	three	NUM
cana-5249	63	23	optimization	optimization	NOUN
cana-5249	63	24	techniques	technique	NOUN
cana-5249	63	25	—	—	PUNCT
cana-5249	63	26	particle	particle	NOUN
cana-5249	63	27	swarm	swarm	NOUN
cana-5249	63	28	optimization	optimization	NOUN
cana-5249	63	29	(	(	PUNCT
cana-5249	63	30	pso	pso	NOUN
cana-5249	63	31	)	)	PUNCT
cana-5249	63	32	,	,	PUNCT
cana-5249	63	33	jaya	jaya	PROPN
cana-5249	63	34	,	,	PUNCT
cana-5249	63	35	and	and	CCONJ
cana-5249	63	36	the	the	DET
cana-5249	63	37	salp	salp	PROPN
cana-5249	63	38	swarm	swarm	NOUN
cana-5249	63	39	algorithm	algorithm	NOUN
cana-5249	63	40	(	(	PUNCT
cana-5249	63	41	ssa)—to	ssa)—to	ADJ
cana-5249	63	42	fine	fine	ADJ
cana-5249	63	43	-	-	PUNCT
cana-5249	63	44	tune	tune	NOUN
cana-5249	63	45	the	the	DET
cana-5249	63	46	lstm	lstm	NOUN
cana-5249	63	47	hyperparameters	hyperparameter	VERB
cana-5249	63	48	.	.	PUNCT
cana-5249	64	1	their	their	PRON
cana-5249	64	2	research	research	NOUN
cana-5249	64	3	utilized	utilize	VERB
cana-5249	64	4	datasets	dataset	NOUN
cana-5249	64	5	such	such	ADJ
cana-5249	64	6	as	as	ADP
cana-5249	64	7	nsl	nsl	NOUN
cana-5249	64	8	-	-	PUNCT
cana-5249	64	9	kdd	kdd	PROPN
cana-5249	64	10	,	,	PUNCT
cana-5249	64	11	cicids	cicid	NOUN
cana-5249	64	12	,	,	PUNCT
cana-5249	64	13	and	and	CCONJ
cana-5249	64	14	bot	bot	NOUN
cana-5249	64	15	-	-	PUNCT
cana-5249	64	16	iot	iot	NOUN
cana-5249	64	17	,	,	PUNCT
cana-5249	64	18	demonstrating	demonstrate	VERB
cana-5249	64	19	that	that	SCONJ
cana-5249	64	20	optimization	optimization	NOUN
cana-5249	64	21	enhances	enhance	VERB
cana-5249	64	22	anomaly	anomaly	NOUN
cana-5249	64	23	detection	detection	NOUN
cana-5249	64	24	accuracy	accuracy	NOUN
cana-5249	64	25	.	.	PUNCT
cana-5249	65	1	ramu	ramu	PROPN
cana-5249	65	2	et	et	PROPN
cana-5249	65	3	al	al	PROPN
cana-5249	65	4	.	.	PUNCT
cana-5249	66	1	[	[	X
cana-5249	66	2	16	16	NUM
cana-5249	66	3	]	]	PUNCT
cana-5249	66	4	introduced	introduce	VERB
cana-5249	66	5	a	a	DET
cana-5249	66	6	meta	meta	ADJ
cana-5249	66	7	-	-	PUNCT
cana-5249	66	8	heuristic	heuristic	ADJ
cana-5249	66	9	optimization	optimization	NOUN
cana-5249	66	10	and	and	CCONJ
cana-5249	66	11	deep	deep	ADJ
cana-5249	66	12	learning	learning	NOUN
cana-5249	66	13	-	-	PUNCT
cana-5249	66	14	based	base	VERB
cana-5249	66	15	method	method	NOUN
cana-5249	66	16	to	to	PART
cana-5249	66	17	enhance	enhance	VERB
cana-5249	66	18	network	network	NOUN
cana-5249	66	19	idss	idss	NOUN
cana-5249	66	20	(	(	PUNCT
cana-5249	66	21	nids	nid	NOUN
cana-5249	66	22	)	)	PUNCT
cana-5249	66	23	.	.	PUNCT
cana-5249	67	1	their	their	PRON
cana-5249	67	2	framework	framework	NOUN
cana-5249	67	3	begins	begin	VERB
cana-5249	67	4	with	with	ADP
cana-5249	67	5	data	datum	NOUN
cana-5249	67	6	pre	pre	ADJ
cana-5249	67	7	-	-	NOUN
cana-5249	67	8	processing	processing	NOUN
cana-5249	67	9	for	for	ADP
cana-5249	67	10	standardization	standardization	NOUN
cana-5249	67	11	and	and	CCONJ
cana-5249	67	12	balancing	balancing	NOUN
cana-5249	67	13	,	,	PUNCT
cana-5249	67	14	followed	follow	VERB
cana-5249	67	15	by	by	ADP
cana-5249	67	16	feature	feature	NOUN
cana-5249	67	17	selection	selection	NOUN
cana-5249	67	18	using	use	VERB
cana-5249	67	19	an	an	DET
cana-5249	67	20	extended	extended	ADJ
cana-5249	67	21	pelican	pelican	ADJ
cana-5249	67	22	optimization	optimization	NOUN
cana-5249	67	23	algorithm	algorithm	NOUN
cana-5249	67	24	(	(	PUNCT
cana-5249	67	25	ex	ex	NOUN
cana-5249	67	26	-	-	NOUN
cana-5249	67	27	pel	pel	NOUN
cana-5249	67	28	)	)	PUNCT
cana-5249	67	29	.	.	PUNCT
cana-5249	68	1	finally	finally	ADV
cana-5249	68	2	,	,	PUNCT
cana-5249	68	3	the	the	DET
cana-5249	68	4	self	self	NOUN
cana-5249	68	5	-	-	PUNCT
cana-5249	68	6	attention	attention	NOUN
cana-5249	68	7	assisted	assist	VERB
cana-5249	68	8	weighted	weight	VERB
cana-5249	68	9	autoencoder	autoencoder	NOUN
cana-5249	68	10	(	(	PUNCT
cana-5249	68	11	sattn_wae	sattn_wae	NOUN
cana-5249	68	12	)	)	PUNCT
cana-5249	68	13	is	be	AUX
cana-5249	68	14	applied	apply	VERB
cana-5249	68	15	to	to	PART
cana-5249	68	16	detect	detect	VERB
cana-5249	68	17	attacks	attack	NOUN
cana-5249	68	18	with	with	ADP
cana-5249	68	19	higher	high	ADJ
cana-5249	68	20	precision	precision	NOUN
cana-5249	68	21	by	by	ADP
cana-5249	68	22	focusing	focus	VERB
cana-5249	68	23	on	on	ADP
cana-5249	68	24	optimal	optimal	ADJ
cana-5249	68	25	feature	feature	NOUN
cana-5249	68	26	selection	selection	NOUN
cana-5249	68	27	.	.	PUNCT
cana-5249	69	1	communications	communication	NOUN
cana-5249	69	2	on	on	ADP
cana-5249	69	3	applied	apply	VERB
cana-5249	69	4	nonlinear	nonlinear	ADJ
cana-5249	69	5	analysis	analysis	NOUN
cana-5249	69	6	issn	issn	NOUN
cana-5249	69	7	:	:	PUNCT
cana-5249	69	8	1074	1074	NUM
cana-5249	69	9	-	-	PUNCT
cana-5249	69	10	133x	133x	NUM
cana-5249	69	11	vol	vol	NOUN
cana-5249	69	12	31	31	NUM
cana-5249	69	13	no	no	NOUN
cana-5249	69	14	.	.	PUNCT
cana-5249	70	1	8s	8s	PROPN
cana-5249	70	2	(	(	PUNCT
cana-5249	70	3	2024	2024	NUM
cana-5249	70	4	)	)	PUNCT
cana-5249	70	5	925	925	NUM
cana-5249	70	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5249	70	7	iii	iii	PROPN
cana-5249	70	8	.	.	PROPN
cana-5249	70	9	proposed	propose	VERB
cana-5249	70	10	model	model	NOUN
cana-5249	70	11	this	this	DET
cana-5249	70	12	section	section	NOUN
cana-5249	70	13	provides	provide	VERB
cana-5249	70	14	a	a	DET
cana-5249	70	15	comprehensive	comprehensive	ADJ
cana-5249	70	16	overview	overview	NOUN
cana-5249	70	17	of	of	ADP
cana-5249	70	18	the	the	DET
cana-5249	70	19	modify	modify	ADJ
cana-5249	70	20	teacher	teacher	NOUN
cana-5249	70	21	optimization	optimization	NOUN
cana-5249	70	22	feature	feature	NOUN
cana-5249	70	23	network	network	NOUN
cana-5249	70	24	security	security	NOUN
cana-5249	70	25	(	(	PUNCT
cana-5249	70	26	mtofns	mtofns	NOUN
cana-5249	70	27	)	)	PUNCT
cana-5249	70	28	model	model	NOUN
cana-5249	70	29	.	.	PUNCT
cana-5249	71	1	figure	figure	NOUN
cana-5249	71	2	1	1	NUM
cana-5249	71	3	illustrates	illustrate	VERB
cana-5249	71	4	its	its	PRON
cana-5249	71	5	core	core	NOUN
cana-5249	71	6	stages	stage	NOUN
cana-5249	71	7	,	,	PUNCT
cana-5249	71	8	including	include	VERB
cana-5249	71	9	dataset	dataset	NOUN
cana-5249	71	10	preprocessing	preprocessing	NOUN
cana-5249	71	11	,	,	PUNCT
cana-5249	71	12	dimensionality	dimensionality	NOUN
cana-5249	71	13	reduction	reduction	NOUN
cana-5249	71	14	,	,	PUNCT
cana-5249	71	15	feature	feature	NOUN
cana-5249	71	16	transformation	transformation	NOUN
cana-5249	71	17	,	,	PUNCT
cana-5249	71	18	and	and	CCONJ
cana-5249	71	19	training	training	NOUN
cana-5249	71	20	.	.	PUNCT
cana-5249	72	1	the	the	DET
cana-5249	72	2	preprocessing	preprocessing	NOUN
cana-5249	72	3	phase	phase	NOUN
cana-5249	72	4	ensures	ensure	VERB
cana-5249	72	5	data	datum	NOUN
cana-5249	72	6	consistency	consistency	NOUN
cana-5249	72	7	,	,	PUNCT
cana-5249	72	8	while	while	SCONJ
cana-5249	72	9	dimensionality	dimensionality	NOUN
cana-5249	72	10	reduction	reduction	NOUN
cana-5249	72	11	removes	remove	VERB
cana-5249	72	12	redundant	redundant	ADJ
cana-5249	72	13	features	feature	NOUN
cana-5249	72	14	to	to	PART
cana-5249	72	15	improve	improve	VERB
cana-5249	72	16	efficiency	efficiency	NOUN
cana-5249	72	17	[	[	X
cana-5249	72	18	12	12	NUM
cana-5249	72	19	,	,	PUNCT
cana-5249	72	20	14	14	NUM
cana-5249	72	21	]	]	PUNCT
cana-5249	72	22	.	.	PUNCT
cana-5249	73	1	feature	feature	NOUN
cana-5249	73	2	transformation	transformation	NOUN
cana-5249	73	3	refines	refine	VERB
cana-5249	73	4	data	datum	NOUN
cana-5249	73	5	attributes	attribute	NOUN
cana-5249	73	6	for	for	ADP
cana-5249	73	7	better	well	ADJ
cana-5249	73	8	classification	classification	NOUN
cana-5249	73	9	,	,	PUNCT
cana-5249	73	10	and	and	CCONJ
cana-5249	73	11	the	the	DET
cana-5249	73	12	training	training	NOUN
cana-5249	73	13	stage	stage	NOUN
cana-5249	73	14	employs	employ	VERB
cana-5249	73	15	machine	machine	NOUN
cana-5249	73	16	learning	learn	VERB
cana-5249	73	17	techniques	technique	NOUN
cana-5249	73	18	for	for	ADP
cana-5249	73	19	accurate	accurate	ADJ
cana-5249	73	20	intrusion	intrusion	NOUN
cana-5249	73	21	detection	detection	NOUN
cana-5249	73	22	.	.	PUNCT
cana-5249	74	1	each	each	PRON
cana-5249	74	2	of	of	ADP
cana-5249	74	3	these	these	DET
cana-5249	74	4	components	component	NOUN
cana-5249	74	5	is	be	AUX
cana-5249	74	6	discussed	discuss	VERB
cana-5249	74	7	in	in	ADP
cana-5249	74	8	detail	detail	NOUN
cana-5249	74	9	under	under	ADP
cana-5249	74	10	separate	separate	ADJ
cana-5249	74	11	headings	heading	NOUN
cana-5249	74	12	in	in	ADP
cana-5249	74	13	this	this	DET
cana-5249	74	14	section	section	NOUN
cana-5249	74	15	,	,	PUNCT
cana-5249	74	16	explaining	explain	VERB
cana-5249	74	17	their	their	PRON
cana-5249	74	18	significance	significance	NOUN
cana-5249	74	19	in	in	ADP
cana-5249	74	20	optimizing	optimize	VERB
cana-5249	74	21	mtofns	mtofns	NOUN
cana-5249	74	22	for	for	ADP
cana-5249	74	23	enhanced	enhanced	ADJ
cana-5249	74	24	network	network	NOUN
cana-5249	74	25	security	security	NOUN
cana-5249	74	26	and	and	CCONJ
cana-5249	74	27	performance	performance	NOUN
cana-5249	74	28	.	.	PUNCT
cana-5249	75	1	fig	fig	NOUN
cana-5249	75	2	.	.	PUNCT
cana-5249	76	1	1	1	NUM
cana-5249	76	2	block	block	NOUN
cana-5249	76	3	diagram	diagram	NOUN
cana-5249	76	4	of	of	ADP
cana-5249	76	5	mtofns	mtofns	PROPN
cana-5249	76	6	network	network	PROPN
cana-5249	76	7	intrusion	intrusion	NOUN
cana-5249	76	8	detection	detection	NOUN
cana-5249	76	9	.	.	PUNCT
cana-5249	77	1	feature	feature	NOUN
cana-5249	77	2	optimization	optimization	NOUN
cana-5249	77	3	training	training	NOUN
cana-5249	77	4	dataset	dataset	VERB
cana-5249	77	5	dataset	dataset	NOUN
cana-5249	77	6	cleaning	cleaning	NOUN
cana-5249	77	7	generate	generate	NOUN
cana-5249	77	8	student	student	NOUN
cana-5249	77	9	fitness	fitness	NOUN
cana-5249	77	10	function	function	PROPN
cana-5249	77	11	t	t	PROPN
cana-5249	77	12	group	group	NOUN
cana-5249	77	13	teacher	teacher	NOUN
cana-5249	77	14	phase	phase	NOUN
cana-5249	77	15	group	group	NOUN
cana-5249	77	16	student	student	NOUN
cana-5249	77	17	phase	phase	NOUN
cana-5249	77	18	nmf	nmf	NOUN
cana-5249	77	19	training	training	NOUN
cana-5249	77	20	vector	vector	NOUN
cana-5249	77	21	desired	desire	VERB
cana-5249	77	22	output	output	NOUN
cana-5249	77	23	training	training	NOUN
cana-5249	77	24	of	of	ADP
cana-5249	77	25	stm	stm	PROPN
cana-5249	77	26	model	model	NOUN
cana-5249	77	27	trained	train	VERB
cana-5249	77	28	lstm	lstm	PROPN
cana-5249	77	29	model	model	NOUN
cana-5249	77	30	communications	communication	NOUN
cana-5249	77	31	on	on	ADP
cana-5249	77	32	applied	apply	VERB
cana-5249	77	33	nonlinear	nonlinear	ADJ
cana-5249	77	34	analysis	analysis	NOUN
cana-5249	77	35	issn	issn	NOUN
cana-5249	77	36	:	:	PUNCT
cana-5249	77	37	1074	1074	NUM
cana-5249	77	38	-	-	PUNCT
cana-5249	77	39	133x	133x	NUM
cana-5249	77	40	vol	vol	NOUN
cana-5249	77	41	31	31	NUM
cana-5249	77	42	no	no	NOUN
cana-5249	77	43	.	.	PUNCT
cana-5249	78	1	8s	8s	PROPN
cana-5249	78	2	(	(	PUNCT
cana-5249	78	3	2024	2024	NUM
cana-5249	78	4	)	)	PUNCT
cana-5249	78	5	926	926	NUM
cana-5249	78	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	78	7	dataset	dataset	NOUN
cana-5249	78	8	processing	process	VERB
cana-5249	78	9	the	the	DET
cana-5249	78	10	input	input	NOUN
cana-5249	78	11	dataset	dataset	NOUN
cana-5249	78	12	used	use	VERB
cana-5249	78	13	for	for	ADP
cana-5249	78	14	malicious	malicious	ADJ
cana-5249	78	15	session	session	NOUN
cana-5249	78	16	detection	detection	NOUN
cana-5249	78	17	contains	contain	VERB
cana-5249	78	18	numerous	numerous	ADJ
cana-5249	78	19	features	feature	NOUN
cana-5249	78	20	,	,	PUNCT
cana-5249	78	21	each	each	PRON
cana-5249	78	22	with	with	ADP
cana-5249	78	23	varying	vary	VERB
cana-5249	78	24	levels	level	NOUN
cana-5249	78	25	of	of	ADP
cana-5249	78	26	significance	significance	NOUN
cana-5249	78	27	.	.	PUNCT
cana-5249	79	1	in	in	ADP
cana-5249	79	2	this	this	DET
cana-5249	79	3	initial	initial	ADJ
cana-5249	79	4	stage	stage	NOUN
cana-5249	79	5	,	,	PUNCT
cana-5249	79	6	the	the	DET
cana-5249	79	7	dataset	dataset	NOUN
cana-5249	79	8	undergoes	undergo	VERB
cana-5249	79	9	a	a	DET
cana-5249	79	10	cleaning	cleaning	NOUN
cana-5249	79	11	process	process	NOUN
cana-5249	79	12	to	to	PART
cana-5249	79	13	remove	remove	VERB
cana-5249	79	14	irrelevant	irrelevant	ADJ
cana-5249	79	15	or	or	CCONJ
cana-5249	79	16	redundant	redundant	ADJ
cana-5249	79	17	information	information	NOUN
cana-5249	79	18	,	,	PUNCT
cana-5249	79	19	ensuring	ensure	VERB
cana-5249	79	20	that	that	SCONJ
cana-5249	79	21	only	only	ADJ
cana-5249	79	22	meaningful	meaningful	ADJ
cana-5249	79	23	data	datum	NOUN
cana-5249	79	24	is	be	AUX
cana-5249	79	25	used	use	VERB
cana-5249	79	26	for	for	ADP
cana-5249	79	27	further	further	ADJ
cana-5249	79	28	analysis	analysis	NOUN
cana-5249	79	29	.	.	PUNCT
cana-5249	80	1	for	for	ADP
cana-5249	80	2	instance	instance	NOUN
cana-5249	80	3	,	,	PUNCT
cana-5249	80	4	the	the	DET
cana-5249	80	5	dataset	dataset	NOUN
cana-5249	80	6	employed	employ	VERB
cana-5249	80	7	in	in	ADP
cana-5249	80	8	this	this	DET
cana-5249	80	9	research	research	NOUN
cana-5249	80	10	contains	contain	VERB
cana-5249	80	11	several	several	ADJ
cana-5249	80	12	fields	field	NOUN
cana-5249	80	13	,	,	PUNCT
cana-5249	80	14	but	but	CCONJ
cana-5249	80	15	the	the	DET
cana-5249	80	16	first	first	ADJ
cana-5249	80	17	few	few	ADJ
cana-5249	80	18	feature	feature	NOUN
cana-5249	80	19	values	value	NOUN
cana-5249	80	20	were	be	AUX
cana-5249	80	21	deemed	deem	VERB
cana-5249	80	22	unnecessary	unnecessary	ADJ
cana-5249	80	23	for	for	ADP
cana-5249	80	24	detecting	detect	VERB
cana-5249	80	25	malicious	malicious	ADJ
cana-5249	80	26	sessions	session	NOUN
cana-5249	80	27	[	[	X
cana-5249	80	28	15	15	NUM
cana-5249	80	29	]	]	PUNCT
cana-5249	80	30	.	.	PUNCT
cana-5249	81	1	examples	example	NOUN
cana-5249	81	2	of	of	ADP
cana-5249	81	3	such	such	ADJ
cana-5249	81	4	fields	field	NOUN
cana-5249	81	5	include	include	VERB
cana-5249	81	6	session	session	NOUN
cana-5249	81	7	ids	id	NOUN
cana-5249	81	8	,	,	PUNCT
cana-5249	81	9	connection	connection	NOUN
cana-5249	81	10	types	type	NOUN
cana-5249	81	11	,	,	PUNCT
cana-5249	81	12	and	and	CCONJ
cana-5249	81	13	transferring	transfer	VERB
cana-5249	81	14	protocols	protocol	NOUN
cana-5249	81	15	,	,	PUNCT
cana-5249	81	16	which	which	PRON
cana-5249	81	17	do	do	AUX
cana-5249	81	18	not	not	PART
cana-5249	81	19	contribute	contribute	VERB
cana-5249	81	20	significantly	significantly	ADV
cana-5249	81	21	to	to	ADP
cana-5249	81	22	identifying	identify	VERB
cana-5249	81	23	malicious	malicious	ADJ
cana-5249	81	24	activity	activity	NOUN
cana-5249	81	25	.	.	PUNCT
cana-5249	82	1	by	by	ADP
cana-5249	82	2	eliminating	eliminate	VERB
cana-5249	82	3	these	these	DET
cana-5249	82	4	features	feature	NOUN
cana-5249	82	5	,	,	PUNCT
cana-5249	82	6	the	the	DET
cana-5249	82	7	dataset	dataset	NOUN
cana-5249	82	8	becomes	become	VERB
cana-5249	82	9	more	more	ADV
cana-5249	82	10	focused	focused	ADJ
cana-5249	82	11	and	and	CCONJ
cana-5249	82	12	efficient	efficient	ADJ
cana-5249	82	13	,	,	PUNCT
cana-5249	82	14	allowing	allow	VERB
cana-5249	82	15	the	the	DET
cana-5249	82	16	model	model	NOUN
cana-5249	82	17	to	to	PART
cana-5249	82	18	concentrate	concentrate	VERB
cana-5249	82	19	on	on	ADP
cana-5249	82	20	the	the	DET
cana-5249	82	21	most	most	ADV
cana-5249	82	22	critical	critical	ADJ
cana-5249	82	23	features	feature	NOUN
cana-5249	82	24	.	.	PUNCT
cana-5249	83	1	pnsddataprocessing(nsd	pnsddataprocessing(nsd	ADJ
cana-5249	83	2	)	)	PUNCT
cana-5249	83	3	-----------eq	-----------eq	NOUN
cana-5249	83	4	.	.	PROPN
cana-5249	83	5	1	1	NUM
cana-5249	83	6	in	in	ADP
cana-5249	83	7	equation	equation	NOUN
cana-5249	83	8	1	1	NUM
cana-5249	83	9	,	,	PUNCT
cana-5249	83	10	the	the	DET
cana-5249	83	11	network	network	NOUN
cana-5249	83	12	session	session	NOUN
cana-5249	83	13	dataset	dataset	NOUN
cana-5249	83	14	(	(	PUNCT
cana-5249	83	15	nsd	nsd	NOUN
cana-5249	83	16	)	)	PUNCT
cana-5249	83	17	represents	represent	VERB
cana-5249	83	18	the	the	DET
cana-5249	83	19	raw	raw	ADJ
cana-5249	83	20	input	input	NOUN
cana-5249	83	21	data	datum	NOUN
cana-5249	83	22	,	,	PUNCT
cana-5249	83	23	while	while	SCONJ
cana-5249	83	24	the	the	DET
cana-5249	83	25	processed	process	VERB
cana-5249	83	26	nsd	nsd	NOUN
cana-5249	83	27	(	(	PUNCT
cana-5249	83	28	pnsd	pnsd	PROPN
cana-5249	83	29	)	)	PUNCT
cana-5249	83	30	is	be	AUX
cana-5249	83	31	the	the	DET
cana-5249	83	32	refined	refined	ADJ
cana-5249	83	33	version	version	NOUN
cana-5249	83	34	after	after	ADP
cana-5249	83	35	initial	initial	ADJ
cana-5249	83	36	preprocessing	preprocessing	NOUN
cana-5249	83	37	.	.	PUNCT
cana-5249	84	1	the	the	DET
cana-5249	84	2	processed	process	VERB
cana-5249	84	3	dataset	dataset	NOUN
cana-5249	84	4	is	be	AUX
cana-5249	84	5	structured	structure	VERB
cana-5249	84	6	in	in	ADP
cana-5249	84	7	a	a	DET
cana-5249	84	8	matrix	matrix	NOUN
cana-5249	84	9	format	format	NOUN
cana-5249	84	10	,	,	PUNCT
cana-5249	84	11	where	where	SCONJ
cana-5249	84	12	each	each	DET
cana-5249	84	13	row	row	NOUN
cana-5249	84	14	corresponds	correspond	VERB
cana-5249	84	15	to	to	ADP
cana-5249	84	16	a	a	DET
cana-5249	84	17	network	network	NOUN
cana-5249	84	18	session	session	NOUN
cana-5249	84	19	,	,	PUNCT
cana-5249	84	20	and	and	CCONJ
cana-5249	84	21	each	each	DET
cana-5249	84	22	column	column	NOUN
cana-5249	84	23	represents	represent	VERB
cana-5249	84	24	a	a	DET
cana-5249	84	25	specific	specific	ADJ
cana-5249	84	26	feature	feature	NOUN
cana-5249	84	27	associated	associate	VERB
cana-5249	84	28	with	with	ADP
cana-5249	84	29	that	that	DET
cana-5249	84	30	session	session	NOUN
cana-5249	84	31	.	.	PUNCT
cana-5249	85	1	feature	feature	NOUN
cana-5249	85	2	optimization	optimization	NOUN
cana-5249	85	3	following	follow	VERB
cana-5249	85	4	the	the	DET
cana-5249	85	5	data	datum	NOUN
cana-5249	85	6	cleaning	cleaning	NOUN
cana-5249	85	7	phase	phase	NOUN
cana-5249	85	8	,	,	PUNCT
cana-5249	85	9	the	the	DET
cana-5249	85	10	pnsd	pnsd	ADJ
cana-5249	85	11	matrix	matrix	NOUN
cana-5249	85	12	undergoes	undergo	VERB
cana-5249	85	13	feature	feature	NOUN
cana-5249	85	14	optimization	optimization	NOUN
cana-5249	85	15	,	,	PUNCT
cana-5249	85	16	leveraging	leverage	VERB
cana-5249	85	17	the	the	DET
cana-5249	85	18	modified	modified	ADJ
cana-5249	85	19	teacher	teacher	NOUN
cana-5249	85	20	learning	learn	VERB
cana-5249	85	21	optimization	optimization	NOUN
cana-5249	85	22	(	(	PUNCT
cana-5249	85	23	mtlo	mtlo	NOUN
cana-5249	85	24	)	)	PUNCT
cana-5249	85	25	algorithm	algorithm	NOUN
cana-5249	86	1	[	[	X
cana-5249	86	2	18	18	NUM
cana-5249	86	3	]	]	PUNCT
cana-5249	86	4	.	.	PUNCT
cana-5249	87	1	this	this	DET
cana-5249	87	2	step	step	NOUN
cana-5249	87	3	aims	aim	VERB
cana-5249	87	4	to	to	PART
cana-5249	87	5	reduce	reduce	VERB
cana-5249	87	6	the	the	DET
cana-5249	87	7	number	number	NOUN
cana-5249	87	8	of	of	ADP
cana-5249	87	9	features	feature	NOUN
cana-5249	87	10	in	in	ADP
cana-5249	87	11	the	the	DET
cana-5249	87	12	training	training	NOUN
cana-5249	87	13	vector	vector	NOUN
cana-5249	87	14	while	while	SCONJ
cana-5249	87	15	improving	improve	VERB
cana-5249	87	16	the	the	DET
cana-5249	87	17	model	model	NOUN
cana-5249	87	18	’s	’s	PART
cana-5249	87	19	accuracy	accuracy	NOUN
cana-5249	87	20	.	.	PUNCT
cana-5249	88	1	by	by	ADP
cana-5249	88	2	selecting	select	VERB
cana-5249	88	3	the	the	DET
cana-5249	88	4	most	most	ADV
cana-5249	88	5	relevant	relevant	ADJ
cana-5249	88	6	features	feature	NOUN
cana-5249	88	7	,	,	PUNCT
cana-5249	88	8	mtlo	mtlo	NOUN
cana-5249	88	9	enhances	enhance	VERB
cana-5249	88	10	the	the	DET
cana-5249	88	11	overall	overall	ADJ
cana-5249	88	12	efficiency	efficiency	NOUN
cana-5249	88	13	and	and	CCONJ
cana-5249	88	14	effectiveness	effectiveness	NOUN
cana-5249	88	15	of	of	ADP
cana-5249	88	16	intrusion	intrusion	NOUN
cana-5249	88	17	detection	detection	NOUN
cana-5249	88	18	.	.	PUNCT
cana-5249	89	1	modified	modify	VERB
cana-5249	89	2	teacher	teacher	NOUN
cana-5249	89	3	learning	learn	VERB
cana-5249	89	4	optimization	optimization	NOUN
cana-5249	89	5	algorithm	algorithm	NOUN
cana-5249	89	6	(	(	PUNCT
cana-5249	89	7	mtlo	mtlo	NOUN
cana-5249	89	8	)	)	PUNCT
cana-5249	89	9	the	the	DET
cana-5249	89	10	mtlo	mtlo	NOUN
cana-5249	89	11	algorithm	algorithm	NOUN
cana-5249	89	12	is	be	AUX
cana-5249	89	13	inspired	inspire	VERB
cana-5249	89	14	by	by	ADP
cana-5249	89	15	the	the	DET
cana-5249	89	16	natural	natural	ADJ
cana-5249	89	17	teaching	teaching	NOUN
cana-5249	89	18	-	-	PUNCT
cana-5249	89	19	learning	learn	VERB
cana-5249	89	20	process	process	NOUN
cana-5249	89	21	.	.	PUNCT
cana-5249	90	1	in	in	ADP
cana-5249	90	2	this	this	DET
cana-5249	90	3	approach	approach	NOUN
cana-5249	90	4	,	,	PUNCT
cana-5249	90	5	each	each	DET
cana-5249	90	6	chromosome	chromosome	NOUN
cana-5249	90	7	represents	represent	VERB
cana-5249	90	8	a	a	DET
cana-5249	90	9	student	student	NOUN
cana-5249	90	10	,	,	PUNCT
cana-5249	90	11	who	who	PRON
cana-5249	90	12	strives	strive	VERB
cana-5249	90	13	to	to	PART
cana-5249	90	14	achieve	achieve	VERB
cana-5249	90	15	higher	high	ADJ
cana-5249	90	16	scores	score	NOUN
cana-5249	90	17	based	base	VERB
cana-5249	90	18	on	on	ADP
cana-5249	90	19	the	the	DET
cana-5249	90	20	knowledge	knowledge	NOUN
cana-5249	90	21	imparted	impart	VERB
cana-5249	90	22	by	by	ADP
cana-5249	90	23	the	the	DET
cana-5249	90	24	teacher	teacher	NOUN
cana-5249	90	25	.	.	PUNCT
cana-5249	91	1	traditionally	traditionally	ADV
cana-5249	91	2	,	,	PUNCT
cana-5249	91	3	the	the	DET
cana-5249	91	4	best	good	ADJ
cana-5249	91	5	local	local	ADJ
cana-5249	91	6	solution	solution	NOUN
cana-5249	91	7	acts	act	VERB
cana-5249	91	8	as	as	ADP
cana-5249	91	9	the	the	DET
cana-5249	91	10	teacher	teacher	NOUN
cana-5249	91	11	,	,	PUNCT
cana-5249	91	12	guiding	guide	VERB
cana-5249	91	13	students	student	NOUN
cana-5249	91	14	toward	toward	ADP
cana-5249	91	15	an	an	DET
cana-5249	91	16	optimal	optimal	ADJ
cana-5249	91	17	solution	solution	NOUN
cana-5249	91	18	.	.	PUNCT
cana-5249	92	1	however	however	ADV
cana-5249	92	2	,	,	PUNCT
cana-5249	92	3	in	in	ADP
cana-5249	92	4	this	this	DET
cana-5249	92	5	modified	modify	VERB
cana-5249	92	6	version	version	NOUN
cana-5249	92	7	,	,	PUNCT
cana-5249	92	8	students	student	NOUN
cana-5249	92	9	are	be	AUX
cana-5249	92	10	instructed	instruct	VERB
cana-5249	92	11	by	by	ADP
cana-5249	92	12	multiple	multiple	ADJ
cana-5249	92	13	teachers	teacher	NOUN
cana-5249	92	14	,	,	PUNCT
cana-5249	92	15	forming	form	VERB
cana-5249	92	16	a	a	DET
cana-5249	92	17	group	group	NOUN
cana-5249	92	18	-	-	PUNCT
cana-5249	92	19	based	base	VERB
cana-5249	92	20	learning	learning	NOUN
cana-5249	92	21	approach	approach	NOUN
cana-5249	92	22	.	.	PUNCT
cana-5249	93	1	this	this	DET
cana-5249	93	2	modification	modification	NOUN
cana-5249	93	3	allows	allow	VERB
cana-5249	93	4	students	student	NOUN
cana-5249	93	5	to	to	PART
cana-5249	93	6	learn	learn	VERB
cana-5249	93	7	from	from	ADP
cana-5249	93	8	a	a	DET
cana-5249	93	9	diverse	diverse	ADJ
cana-5249	93	10	set	set	NOUN
cana-5249	93	11	of	of	ADP
cana-5249	93	12	optimal	optimal	ADJ
cana-5249	93	13	solutions	solution	NOUN
cana-5249	93	14	,	,	PUNCT
cana-5249	93	15	leading	lead	VERB
cana-5249	93	16	to	to	ADP
cana-5249	93	17	a	a	DET
cana-5249	93	18	more	more	ADV
cana-5249	93	19	refined	refined	ADJ
cana-5249	93	20	feature	feature	NOUN
cana-5249	93	21	selection	selection	NOUN
cana-5249	93	22	process	process	NOUN
cana-5249	93	23	.	.	PUNCT
cana-5249	94	1	generating	generate	VERB
cana-5249	94	2	student	student	NOUN
cana-5249	94	3	population	population	NOUN
cana-5249	94	4	the	the	DET
cana-5249	94	5	student	student	NOUN
cana-5249	94	6	population	population	NOUN
cana-5249	94	7	consists	consist	VERB
cana-5249	94	8	of	of	ADP
cana-5249	94	9	multiple	multiple	ADJ
cana-5249	94	10	students	student	NOUN
cana-5249	94	11	(	(	PUNCT
cana-5249	94	12	chromosomes	chromosome	NOUN
cana-5249	94	13	)	)	PUNCT
cana-5249	94	14	,	,	PUNCT
cana-5249	94	15	where	where	SCONJ
cana-5249	94	16	each	each	DET
cana-5249	94	17	chromosome	chromosome	NOUN
cana-5249	94	18	represents	represent	VERB
cana-5249	94	19	an	an	DET
cana-5249	94	20	optimized	optimize	VERB
cana-5249	94	21	feature	feature	NOUN
cana-5249	94	22	set	set	NOUN
cana-5249	94	23	.	.	PUNCT
cana-5249	95	1	each	each	DET
cana-5249	95	2	student	student	NOUN
cana-5249	95	3	is	be	AUX
cana-5249	95	4	encoded	encode	VERB
cana-5249	95	5	as	as	ADP
cana-5249	95	6	a	a	DET
cana-5249	95	7	vector	vector	NOUN
cana-5249	95	8	with	with	ADP
cana-5249	95	9	'	'	NUM
cana-5249	95	10	n	n	CCONJ
cana-5249	95	11	'	'	PART
cana-5249	95	12	elements	element	NOUN
cana-5249	95	13	,	,	PUNCT
cana-5249	95	14	where	where	SCONJ
cana-5249	95	15	'	'	PUNCT
cana-5249	95	16	n	n	CCONJ
cana-5249	95	17	'	'	PUNCT
cana-5249	95	18	corresponds	correspond	NOUN
cana-5249	95	19	to	to	ADP
cana-5249	95	20	the	the	DET
cana-5249	95	21	number	number	NOUN
cana-5249	95	22	of	of	ADP
cana-5249	95	23	columns	column	NOUN
cana-5249	95	24	in	in	ADP
cana-5249	95	25	the	the	DET
cana-5249	95	26	pnsd	pnsd	ADJ
cana-5249	95	27	matrix	matrix	NOUN
cana-5249	95	28	.	.	PUNCT
cana-5249	96	1	the	the	DET
cana-5249	96	2	elements	element	NOUN
cana-5249	96	3	in	in	ADP
cana-5249	96	4	this	this	DET
cana-5249	96	5	vector	vector	NOUN
cana-5249	96	6	are	be	AUX
cana-5249	96	7	binary	binary	ADJ
cana-5249	96	8	(	(	PUNCT
cana-5249	96	9	0	0	NUM
cana-5249	96	10	or	or	CCONJ
cana-5249	96	11	1	1	NUM
cana-5249	96	12	):	):	PUNCT
cana-5249	96	13	•	•	NOUN
cana-5249	96	14	1	1	NUM
cana-5249	96	15	indicates	indicate	VERB
cana-5249	96	16	that	that	SCONJ
cana-5249	96	17	a	a	DET
cana-5249	96	18	feature	feature	NOUN
cana-5249	96	19	is	be	AUX
cana-5249	96	20	included	include	VERB
cana-5249	96	21	for	for	ADP
cana-5249	96	22	training	training	NOUN
cana-5249	96	23	.	.	PUNCT
cana-5249	97	1	•	•	NUM
cana-5249	97	2	0	0	NUM
cana-5249	97	3	means	mean	VERB
cana-5249	97	4	the	the	DET
cana-5249	97	5	feature	feature	NOUN
cana-5249	97	6	is	be	AUX
cana-5249	97	7	excluded	exclude	VERB
cana-5249	97	8	.	.	PUNCT
cana-5249	98	1	to	to	PART
cana-5249	98	2	create	create	VERB
cana-5249	98	3	a	a	DET
cana-5249	98	4	diverse	diverse	ADJ
cana-5249	98	5	range	range	NOUN
cana-5249	98	6	of	of	ADP
cana-5249	98	7	student	student	NOUN
cana-5249	98	8	populations	population	NOUN
cana-5249	98	9	,	,	PUNCT
cana-5249	98	10	‘s	‘s	PRON
cana-5249	98	11	’	'	PUNCT
cana-5249	98	12	students	student	NOUN
cana-5249	98	13	are	be	AUX
cana-5249	98	14	generated	generate	VERB
cana-5249	98	15	,	,	PUNCT
cana-5249	98	16	forming	form	VERB
cana-5249	98	17	a	a	DET
cana-5249	98	18	student	student	NOUN
cana-5249	98	19	population	population	NOUN
cana-5249	98	20	matrix	matrix	NOUN
cana-5249	98	21	(	(	PUNCT
cana-5249	98	22	sp	sp	NOUN
cana-5249	98	23	)	)	PUNCT
cana-5249	98	24	of	of	ADP
cana-5249	98	25	size	size	NOUN
cana-5249	98	26	s	s	PART
cana-5249	98	27	×	×	NOUN
cana-5249	98	28	n.	n.	NOUN
cana-5249	98	29	feature	feature	NOUN
cana-5249	98	30	selection	selection	NOUN
cana-5249	98	31	is	be	AUX
cana-5249	98	32	performed	perform	VERB
cana-5249	98	33	using	use	VERB
cana-5249	98	34	a	a	DET
cana-5249	98	35	gaussian	gaussian	ADJ
cana-5249	98	36	random	random	ADJ
cana-5249	98	37	value	value	NOUN
cana-5249	98	38	generator	generator	NOUN
cana-5249	98	39	,	,	PUNCT
cana-5249	98	40	ensuring	ensure	VERB
cana-5249	98	41	a	a	DET
cana-5249	98	42	randomized	randomized	ADJ
cana-5249	98	43	yet	yet	CCONJ
cana-5249	98	44	effective	effective	ADJ
cana-5249	98	45	selection	selection	NOUN
cana-5249	98	46	of	of	ADP
cana-5249	98	47	features	feature	NOUN
cana-5249	98	48	for	for	ADP
cana-5249	98	49	optimization	optimization	NOUN
cana-5249	98	50	.	.	PUNCT
cana-5249	99	1	spgeneratepopulation(s	spgeneratepopulation(s	X
cana-5249	99	2	,	,	PUNCT
cana-5249	99	3	n	n	CCONJ
cana-5249	99	4	,	,	PUNCT
cana-5249	99	5	f)----------eq	f)----------eq	NOUN
cana-5249	99	6	.	.	NOUN
cana-5249	99	7	2	2	NUM
cana-5249	99	8	communications	communication	NOUN
cana-5249	99	9	on	on	ADP
cana-5249	99	10	applied	apply	VERB
cana-5249	99	11	nonlinear	nonlinear	ADJ
cana-5249	99	12	analysis	analysis	NOUN
cana-5249	99	13	issn	issn	NOUN
cana-5249	99	14	:	:	PUNCT
cana-5249	99	15	1074	1074	NUM
cana-5249	99	16	-	-	PUNCT
cana-5249	99	17	133x	133x	NUM
cana-5249	99	18	vol	vol	NOUN
cana-5249	99	19	31	31	NUM
cana-5249	99	20	no	no	NOUN
cana-5249	99	21	.	.	PUNCT
cana-5249	100	1	8s	8s	PROPN
cana-5249	100	2	(	(	PUNCT
cana-5249	100	3	2024	2024	NUM
cana-5249	100	4	)	)	PUNCT
cana-5249	101	1	927	927	NUM
cana-5249	101	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5249	101	3	table	table	NOUN
cana-5249	101	4	1	1	NUM
cana-5249	101	5	notation	notation	NOUN
cana-5249	101	6	of	of	ADP
cana-5249	101	7	mtofns	mtofns	NOUN
cana-5249	101	8	.	.	PUNCT
cana-5249	102	1	notations	notation	NOUN
cana-5249	102	2	meaning	mean	VERB
cana-5249	102	3	nsd	nsd	NOUN
cana-5249	102	4	network	network	NOUN
cana-5249	102	5	session	session	NOUN
cana-5249	102	6	dataset	dataset	VERB
cana-5249	102	7	pnsd	pnsd	ADV
cana-5249	102	8	processed	process	VERB
cana-5249	102	9	network	network	NOUN
cana-5249	102	10	session	session	NOUN
cana-5249	102	11	dataset	dataset	VERB
cana-5249	102	12	mtlo	mtlo	NOUN
cana-5249	102	13	modified	modify	VERB
cana-5249	102	14	teacher	teacher	NOUN
cana-5249	102	15	learning	learn	VERB
cana-5249	102	16	optimization	optimization	NOUN
cana-5249	102	17	sp	sp	ADP
cana-5249	102	18	student	student	NOUN
cana-5249	102	19	population	population	NOUN
cana-5249	102	20	s	s	PART
cana-5249	102	21	number	number	NOUN
cana-5249	102	22	of	of	ADP
cana-5249	102	23	students	student	NOUN
cana-5249	102	24	n	n	DET
cana-5249	102	25	number	number	NOUN
cana-5249	102	26	of	of	ADP
cana-5249	102	27	features	feature	NOUN
cana-5249	102	28	f	f	PROPN
cana-5249	102	29	number	number	NOUN
cana-5249	102	30	of	of	ADP
cana-5249	102	31	minimum	minimum	ADJ
cana-5249	102	32	features	feature	NOUN
cana-5249	102	33	present	present	ADJ
cana-5249	102	34	in	in	ADP
cana-5249	102	35	student	student	NOUN
cana-5249	102	36	vector	vector	NOUN
cana-5249	102	37	sf	sf	PROPN
cana-5249	102	38	student	student	PROPN
cana-5249	102	39	fitness	fitness	PROPN
cana-5249	102	40	doc	doc	PROPN
cana-5249	102	41	desired	desire	VERB
cana-5249	102	42	output	output	NOUN
cana-5249	102	43	class	class	PROPN
cana-5249	102	44	spb	spb	PROPN
cana-5249	102	45	student	student	NOUN
cana-5249	102	46	phase	phase	NOUN
cana-5249	102	47	best	well	ADV
cana-5249	102	48	fsd	fsd	PROPN
cana-5249	102	49	filter	filter	NOUN
cana-5249	102	50	session	session	NOUN
cana-5249	102	51	dataset	dataset	VERB
cana-5249	102	52	w	w	PROPN
cana-5249	102	53	nfm	nfm	PROPN
cana-5249	102	54	base	base	NOUN
cana-5249	102	55	matrix	matrix	NOUN
cana-5249	102	56	h	h	PROPN
cana-5249	102	57	nfm	nfm	PROPN
cana-5249	102	58	output	output	PROPN
cana-5249	102	59	coefficient	coefficient	NOUN
cana-5249	102	60	matrix	matrix	NOUN
cana-5249	102	61	r	r	NOUN
cana-5249	102	62	reduce	reduce	VERB
cana-5249	102	63	dimension	dimension	NOUN
cana-5249	102	64	tem	tem	PROPN
cana-5249	102	65	trained	train	VERB
cana-5249	102	66	ensemble	ensemble	ADJ
cana-5249	102	67	model	model	NOUN
cana-5249	102	68	fitness	fitness	NOUN
cana-5249	102	69	function	function	NOUN
cana-5249	102	70	each	each	DET
cana-5249	102	71	student	student	NOUN
cana-5249	102	72	(	(	PUNCT
cana-5249	102	73	chromosome	chromosome	NOUN
cana-5249	102	74	)	)	PUNCT
cana-5249	102	75	is	be	AUX
cana-5249	102	76	assessed	assess	VERB
cana-5249	102	77	based	base	VERB
cana-5249	102	78	on	on	ADP
cana-5249	102	79	its	its	PRON
cana-5249	102	80	fitness	fitness	NOUN
cana-5249	102	81	,	,	PUNCT
cana-5249	102	82	which	which	PRON
cana-5249	102	83	is	be	AUX
cana-5249	102	84	determined	determine	VERB
cana-5249	102	85	by	by	ADP
cana-5249	102	86	evaluating	evaluate	VERB
cana-5249	102	87	how	how	SCONJ
cana-5249	102	88	well	well	ADV
cana-5249	102	89	its	its	PRON
cana-5249	102	90	selected	select	VERB
cana-5249	102	91	feature	feature	NOUN
cana-5249	102	92	set	set	NOUN
cana-5249	102	93	enhances	enhance	VERB
cana-5249	102	94	detection	detection	NOUN
cana-5249	102	95	accuracy	accuracy	NOUN
cana-5249	102	96	.	.	PUNCT
cana-5249	103	1	this	this	PRON
cana-5249	103	2	is	be	AUX
cana-5249	103	3	accomplished	accomplish	VERB
cana-5249	103	4	through	through	ADP
cana-5249	103	5	a	a	DET
cana-5249	103	6	fitness	fitness	NOUN
cana-5249	103	7	function	function	NOUN
cana-5249	103	8	that	that	PRON
cana-5249	103	9	measures	measure	VERB
cana-5249	103	10	the	the	DET
cana-5249	103	11	"	"	PUNCT
cana-5249	103	12	distance	distance	NOUN
cana-5249	103	13	"	"	PUNCT
cana-5249	103	14	between	between	ADP
cana-5249	103	15	the	the	DET
cana-5249	103	16	student	student	NOUN
cana-5249	103	17	's	's	PART
cana-5249	103	18	feature	feature	NOUN
cana-5249	103	19	selection	selection	NOUN
cana-5249	103	20	and	and	CCONJ
cana-5249	103	21	an	an	DET
cana-5249	103	22	optimal	optimal	ADJ
cana-5249	103	23	solution	solution	NOUN
cana-5249	103	24	.	.	PUNCT
cana-5249	104	1	the	the	DET
cana-5249	104	2	student	student	NOUN
cana-5249	104	3	’s	’s	PART
cana-5249	104	4	feature	feature	NOUN
cana-5249	104	5	vector	vector	NOUN
cana-5249	104	6	is	be	AUX
cana-5249	104	7	fed	feed	VERB
cana-5249	104	8	into	into	ADP
cana-5249	104	9	a	a	DET
cana-5249	104	10	learning	learning	NOUN
cana-5249	104	11	model	model	NOUN
cana-5249	104	12	network	network	NOUN
cana-5249	104	13	,	,	PUNCT
cana-5249	104	14	which	which	PRON
cana-5249	104	15	is	be	AUX
cana-5249	104	16	trained	train	VERB
cana-5249	104	17	on	on	ADP
cana-5249	104	18	the	the	DET
cana-5249	104	19	processed	process	VERB
cana-5249	104	20	dataset	dataset	NOUN
cana-5249	104	21	(	(	PUNCT
cana-5249	104	22	pnsd	pnsd	NOUN
cana-5249	104	23	)	)	PUNCT
cana-5249	104	24	to	to	PART
cana-5249	104	25	assess	assess	VERB
cana-5249	104	26	its	its	PRON
cana-5249	104	27	effectiveness	effectiveness	NOUN
cana-5249	104	28	in	in	ADP
cana-5249	104	29	identifying	identify	VERB
cana-5249	104	30	malicious	malicious	ADJ
cana-5249	104	31	sessions	session	NOUN
cana-5249	104	32	.	.	PUNCT
cana-5249	105	1	the	the	DET
cana-5249	105	2	detection	detection	NOUN
cana-5249	105	3	accuracy	accuracy	NOUN
cana-5249	105	4	obtained	obtain	VERB
cana-5249	105	5	from	from	ADP
cana-5249	105	6	this	this	DET
cana-5249	105	7	evaluation	evaluation	NOUN
cana-5249	105	8	serves	serve	VERB
cana-5249	105	9	as	as	ADP
cana-5249	105	10	the	the	DET
cana-5249	105	11	fitness	fitness	NOUN
cana-5249	105	12	score	score	NOUN
cana-5249	105	13	(	(	PUNCT
cana-5249	105	14	sf	sf	PROPN
cana-5249	105	15	)	)	PUNCT
cana-5249	105	16	for	for	ADP
cana-5249	105	17	each	each	DET
cana-5249	105	18	student	student	NOUN
cana-5249	105	19	.	.	PUNCT
cana-5249	106	1	sflearningaccuracy(sp	sflearningaccuracy(sp	PROPN
cana-5249	106	2	,	,	PUNCT
cana-5249	106	3	pnsd	pnsd	PROPN
cana-5249	106	4	,	,	PUNCT
cana-5249	106	5	doc	doc	PROPN
cana-5249	106	6	)	)	PUNCT
cana-5249	106	7	update	update	NOUN
cana-5249	106	8	student	student	NOUN
cana-5249	106	9	position	position	NOUN
cana-5249	106	10	after	after	ADP
cana-5249	106	11	calculating	calculate	VERB
cana-5249	106	12	each	each	DET
cana-5249	106	13	student	student	NOUN
cana-5249	106	14	's	's	PART
cana-5249	106	15	fitness	fitness	NOUN
cana-5249	106	16	value	value	NOUN
cana-5249	106	17	,	,	PUNCT
cana-5249	106	18	the	the	DET
cana-5249	106	19	population	population	NOUN
cana-5249	106	20	is	be	AUX
cana-5249	106	21	sorted	sort	VERB
cana-5249	106	22	in	in	ADP
cana-5249	106	23	descending	descend	VERB
cana-5249	106	24	order	order	NOUN
cana-5249	106	25	based	base	VERB
cana-5249	106	26	on	on	ADP
cana-5249	106	27	fitness	fitness	NOUN
cana-5249	106	28	scores	score	NOUN
cana-5249	106	29	.	.	PUNCT
cana-5249	107	1	the	the	DET
cana-5249	107	2	best	well	ADV
cana-5249	107	3	-	-	PUNCT
cana-5249	107	4	performing	perform	VERB
cana-5249	107	5	student	student	NOUN
cana-5249	107	6	is	be	AUX
cana-5249	107	7	identified	identify	VERB
cana-5249	107	8	as	as	ADP
cana-5249	107	9	the	the	DET
cana-5249	107	10	teacher	teacher	NOUN
cana-5249	107	11	,	,	PUNCT
cana-5249	107	12	representing	represent	VERB
cana-5249	107	13	the	the	DET
cana-5249	107	14	most	most	ADV
cana-5249	107	15	optimized	optimize	VERB
cana-5249	107	16	feature	feature	NOUN
cana-5249	107	17	set	set	VERB
cana-5249	107	18	.	.	PUNCT
cana-5249	108	1	to	to	PART
cana-5249	108	2	further	far	ADV
cana-5249	108	3	refine	refine	VERB
cana-5249	108	4	the	the	DET
cana-5249	108	5	population	population	NOUN
cana-5249	108	6	,	,	PUNCT
cana-5249	108	7	a	a	DET
cana-5249	108	8	genetic	genetic	ADJ
cana-5249	108	9	-	-	PUNCT
cana-5249	108	10	inspired	inspire	VERB
cana-5249	108	11	optimization	optimization	NOUN
cana-5249	108	12	strategy	strategy	NOUN
cana-5249	108	13	is	be	AUX
cana-5249	108	14	applied	apply	VERB
cana-5249	108	15	through	through	ADP
cana-5249	108	16	the	the	DET
cana-5249	108	17	teacher	teacher	NOUN
cana-5249	108	18	and	and	CCONJ
cana-5249	108	19	student	student	NOUN
cana-5249	108	20	phases	phase	NOUN
cana-5249	108	21	,	,	PUNCT
cana-5249	108	22	allowing	allow	VERB
cana-5249	108	23	for	for	ADP
cana-5249	108	24	continuous	continuous	ADJ
cana-5249	108	25	improvement	improvement	NOUN
cana-5249	108	26	in	in	ADP
cana-5249	108	27	feature	feature	NOUN
cana-5249	108	28	selection	selection	NOUN
cana-5249	108	29	.	.	PUNCT
cana-5249	109	1	modify	modify	VERB
cana-5249	109	2	teacher	teacher	NOUN
cana-5249	109	3	phase	phase	NOUN
cana-5249	109	4	in	in	ADP
cana-5249	109	5	this	this	DET
cana-5249	109	6	step	step	NOUN
cana-5249	109	7	,	,	PUNCT
cana-5249	109	8	students	student	NOUN
cana-5249	109	9	are	be	AUX
cana-5249	109	10	taught	teach	VERB
cana-5249	109	11	by	by	ADP
cana-5249	109	12	a	a	DET
cana-5249	109	13	group	group	NOUN
cana-5249	109	14	of	of	ADP
cana-5249	109	15	teachers	teacher	NOUN
cana-5249	109	16	rather	rather	ADV
cana-5249	109	17	than	than	ADP
cana-5249	109	18	a	a	DET
cana-5249	109	19	single	single	ADJ
cana-5249	109	20	best	good	ADJ
cana-5249	109	21	teacher	teacher	NOUN
cana-5249	109	22	.	.	PUNCT
cana-5249	110	1	each	each	DET
cana-5249	110	2	teacher	teacher	NOUN
cana-5249	110	3	is	be	AUX
cana-5249	110	4	randomly	randomly	ADV
cana-5249	110	5	assigned	assign	VERB
cana-5249	110	6	a	a	DET
cana-5249	110	7	group	group	NOUN
cana-5249	110	8	of	of	ADP
cana-5249	110	9	students	student	NOUN
cana-5249	110	10	,	,	PUNCT
cana-5249	110	11	increasing	increase	VERB
cana-5249	110	12	the	the	DET
cana-5249	110	13	probability	probability	NOUN
cana-5249	110	14	of	of	ADP
cana-5249	110	15	finding	find	VERB
cana-5249	110	16	an	an	DET
cana-5249	110	17	optimized	optimize	VERB
cana-5249	110	18	feature	feature	NOUN
cana-5249	110	19	set	set	VERB
cana-5249	110	20	in	in	ADP
cana-5249	110	21	less	less	ADJ
cana-5249	110	22	time	time	NOUN
cana-5249	110	23	.	.	PUNCT
cana-5249	111	1	a	a	DET
cana-5249	111	2	specified	specified	ADJ
cana-5249	111	3	number	number	NOUN
cana-5249	111	4	of	of	ADP
cana-5249	111	5	groups	group	NOUN
cana-5249	111	6	(	(	PUNCT
cana-5249	111	7	g	g	NOUN
cana-5249	111	8	)	)	PUNCT
cana-5249	111	9	is	be	AUX
cana-5249	111	10	formed	form	VERB
cana-5249	111	11	.	.	PUNCT
cana-5249	112	1	in	in	ADP
cana-5249	112	2	each	each	DET
cana-5249	112	3	group	group	NOUN
cana-5249	112	4	,	,	PUNCT
cana-5249	112	5	g	g	NOUN
cana-5249	112	6	random	random	ADJ
cana-5249	112	7	positions	position	NOUN
cana-5249	112	8	in	in	ADP
cana-5249	112	9	the	the	DET
cana-5249	112	10	student	student	NOUN
cana-5249	112	11	feature	feature	NOUN
cana-5249	112	12	vectors	vector	NOUN
cana-5249	112	13	are	be	AUX
cana-5249	112	14	flipped	flip	VERB
cana-5249	112	15	(	(	PUNCT
cana-5249	112	16	changing	change	VERB
cana-5249	112	17	0	0	NUM
cana-5249	112	18	to	to	ADP
cana-5249	112	19	1	1	NUM
cana-5249	112	20	or	or	CCONJ
cana-5249	112	21	1	1	NUM
cana-5249	112	22	to	to	ADP
cana-5249	112	23	0	0	NUM
cana-5249	112	24	)	)	PUNCT
cana-5249	112	25	,	,	PUNCT
cana-5249	112	26	except	except	SCONJ
cana-5249	112	27	for	for	ADP
cana-5249	112	28	the	the	DET
cana-5249	112	29	communications	communication	NOUN
cana-5249	112	30	on	on	ADP
cana-5249	112	31	applied	apply	VERB
cana-5249	112	32	nonlinear	nonlinear	ADJ
cana-5249	112	33	analysis	analysis	NOUN
cana-5249	112	34	issn	issn	NOUN
cana-5249	112	35	:	:	PUNCT
cana-5249	112	36	1074	1074	NUM
cana-5249	112	37	-	-	PUNCT
cana-5249	112	38	133x	133x	NUM
cana-5249	112	39	vol	vol	NOUN
cana-5249	112	40	31	31	NUM
cana-5249	112	41	no	no	NOUN
cana-5249	112	42	.	.	PUNCT
cana-5249	113	1	8s	8s	PROPN
cana-5249	113	2	(	(	PUNCT
cana-5249	113	3	2024	2024	NUM
cana-5249	113	4	)	)	PUNCT
cana-5249	113	5	928	928	NUM
cana-5249	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	113	7	best	well	ADV
cana-5249	113	8	-	-	PUNCT
cana-5249	113	9	performing	perform	VERB
cana-5249	113	10	student	student	NOUN
cana-5249	113	11	,	,	PUNCT
cana-5249	113	12	which	which	PRON
cana-5249	113	13	remains	remain	VERB
cana-5249	113	14	unchanged	unchanged	ADJ
cana-5249	113	15	.	.	PUNCT
cana-5249	114	1	this	this	PRON
cana-5249	114	2	ensures	ensure	VERB
cana-5249	114	3	that	that	SCONJ
cana-5249	114	4	the	the	DET
cana-5249	114	5	algorithm	algorithm	NOUN
cana-5249	114	6	continues	continue	VERB
cana-5249	114	7	to	to	PART
cana-5249	114	8	explore	explore	VERB
cana-5249	114	9	new	new	ADJ
cana-5249	114	10	feature	feature	NOUN
cana-5249	114	11	combinations	combination	NOUN
cana-5249	114	12	while	while	SCONJ
cana-5249	114	13	preserving	preserve	VERB
cana-5249	114	14	the	the	DET
cana-5249	114	15	best	good	ADJ
cana-5249	114	16	solution	solution	NOUN
cana-5249	114	17	.	.	PUNCT
cana-5249	115	1	once	once	SCONJ
cana-5249	115	2	modifications	modification	NOUN
cana-5249	115	3	are	be	AUX
cana-5249	115	4	made	make	VERB
cana-5249	115	5	,	,	PUNCT
cana-5249	115	6	students	student	NOUN
cana-5249	115	7	are	be	AUX
cana-5249	115	8	re	re	VERB
cana-5249	115	9	-	-	VERB
cana-5249	115	10	evaluated	evaluate	VERB
cana-5249	115	11	for	for	ADP
cana-5249	115	12	fitness	fitness	NOUN
cana-5249	115	13	.	.	PUNCT
cana-5249	116	1	if	if	SCONJ
cana-5249	116	2	a	a	DET
cana-5249	116	3	modified	modify	VERB
cana-5249	116	4	student	student	NOUN
cana-5249	116	5	performs	perform	VERB
cana-5249	116	6	better	well	ADJ
cana-5249	116	7	than	than	ADP
cana-5249	116	8	its	its	PRON
cana-5249	116	9	parent	parent	NOUN
cana-5249	116	10	,	,	PUNCT
cana-5249	116	11	it	it	PRON
cana-5249	116	12	replaces	replace	VERB
cana-5249	116	13	the	the	DET
cana-5249	116	14	parent	parent	NOUN
cana-5249	116	15	in	in	ADP
cana-5249	116	16	the	the	DET
cana-5249	116	17	population	population	NOUN
cana-5249	116	18	.	.	PUNCT
cana-5249	117	1	if	if	SCONJ
cana-5249	117	2	no	no	DET
cana-5249	117	3	improvement	improvement	NOUN
cana-5249	117	4	is	be	AUX
cana-5249	117	5	observed	observe	VERB
cana-5249	117	6	,	,	PUNCT
cana-5249	117	7	the	the	DET
cana-5249	117	8	parent	parent	NOUN
cana-5249	117	9	remains	remain	VERB
cana-5249	117	10	unchanged	unchanged	ADJ
cana-5249	117	11	.	.	PUNCT
cana-5249	118	1	spteacher_phase(sp	spteacher_phase(sp	INTJ
cana-5249	118	2	,	,	PUNCT
cana-5249	118	3	sf	sf	PROPN
cana-5249	118	4	,	,	PUNCT
cana-5249	118	5	pnsd	pnsd	PROPN
cana-5249	118	6	,	,	PUNCT
cana-5249	118	7	doc	doc	PROPN
cana-5249	118	8	)	)	PUNCT
cana-5249	118	9	student	student	NOUN
cana-5249	118	10	phase	phase	NOUN
cana-5249	118	11	in	in	ADP
cana-5249	118	12	the	the	DET
cana-5249	118	13	student	student	NOUN
cana-5249	118	14	phase	phase	NOUN
cana-5249	118	15	,	,	PUNCT
cana-5249	118	16	students	student	NOUN
cana-5249	118	17	are	be	AUX
cana-5249	118	18	randomly	randomly	ADV
cana-5249	118	19	grouped	group	VERB
cana-5249	118	20	,	,	PUNCT
cana-5249	118	21	and	and	CCONJ
cana-5249	118	22	the	the	DET
cana-5249	118	23	best	well	ADV
cana-5249	118	24	-	-	PUNCT
cana-5249	118	25	performing	perform	VERB
cana-5249	118	26	student	student	NOUN
cana-5249	118	27	within	within	ADP
cana-5249	118	28	each	each	DET
cana-5249	118	29	group	group	NOUN
cana-5249	118	30	is	be	AUX
cana-5249	118	31	designated	designate	VERB
cana-5249	118	32	as	as	ADP
cana-5249	118	33	the	the	DET
cana-5249	118	34	teacher	teacher	NOUN
cana-5249	118	35	.	.	PUNCT
cana-5249	119	1	the	the	DET
cana-5249	119	2	process	process	NOUN
cana-5249	119	3	mirrors	mirror	VERB
cana-5249	119	4	the	the	DET
cana-5249	119	5	modify	modify	ADJ
cana-5249	119	6	teacher	teacher	NOUN
cana-5249	119	7	phase	phase	NOUN
cana-5249	119	8	,	,	PUNCT
cana-5249	119	9	where	where	SCONJ
cana-5249	119	10	random	random	ADJ
cana-5249	119	11	positions	position	NOUN
cana-5249	119	12	in	in	ADP
cana-5249	119	13	student	student	NOUN
cana-5249	119	14	vectors	vector	NOUN
cana-5249	119	15	are	be	AUX
cana-5249	119	16	flipped	flip	VERB
cana-5249	119	17	,	,	PUNCT
cana-5249	119	18	except	except	SCONJ
cana-5249	119	19	for	for	ADP
cana-5249	119	20	the	the	DET
cana-5249	119	21	best	good	ADJ
cana-5249	119	22	local	local	ADJ
cana-5249	119	23	student	student	NOUN
cana-5249	119	24	.	.	PUNCT
cana-5249	120	1	this	this	DET
cana-5249	120	2	iterative	iterative	NOUN
cana-5249	120	3	refinement	refinement	NOUN
cana-5249	120	4	continues	continue	VERB
cana-5249	120	5	until	until	SCONJ
cana-5249	120	6	the	the	DET
cana-5249	120	7	maximum	maximum	ADJ
cana-5249	120	8	number	number	NOUN
cana-5249	120	9	of	of	ADP
cana-5249	120	10	iterations	iteration	NOUN
cana-5249	120	11	is	be	AUX
cana-5249	120	12	reached	reach	VERB
cana-5249	120	13	,	,	PUNCT
cana-5249	120	14	ensuring	ensure	VERB
cana-5249	120	15	that	that	SCONJ
cana-5249	120	16	the	the	DET
cana-5249	120	17	feature	feature	NOUN
cana-5249	120	18	selection	selection	NOUN
cana-5249	120	19	process	process	NOUN
cana-5249	120	20	evolves	evolve	VERB
cana-5249	120	21	toward	toward	ADP
cana-5249	120	22	optimal	optimal	ADJ
cana-5249	120	23	accuracy	accuracy	NOUN
cana-5249	120	24	.	.	PUNCT
cana-5249	121	1	spstudent_phase(sp	spstudent_phase(sp	PROPN
cana-5249	121	2	,	,	PUNCT
cana-5249	121	3	sf	sf	PROPN
cana-5249	121	4	,	,	PUNCT
cana-5249	121	5	pnsd	pnsd	PROPN
cana-5249	121	6	,	,	PUNCT
cana-5249	121	7	doc	doc	PROPN
cana-5249	121	8	)	)	PUNCT
cana-5249	121	9	feature	feature	NOUN
cana-5249	121	10	selection	selection	NOUN
cana-5249	121	11	once	once	SCONJ
cana-5249	121	12	the	the	DET
cana-5249	121	13	iterative	iterative	NOUN
cana-5249	121	14	process	process	NOUN
cana-5249	121	15	is	be	AUX
cana-5249	121	16	complete	complete	ADJ
cana-5249	121	17	,	,	PUNCT
cana-5249	121	18	the	the	DET
cana-5249	121	19	best	good	ADJ
cana-5249	121	20	student	student	NOUN
cana-5249	121	21	is	be	AUX
cana-5249	121	22	chosen	choose	VERB
cana-5249	121	23	from	from	ADP
cana-5249	121	24	the	the	DET
cana-5249	121	25	final	final	ADJ
cana-5249	121	26	population	population	NOUN
cana-5249	121	27	.	.	PUNCT
cana-5249	122	1	the	the	DET
cana-5249	122	2	features	feature	NOUN
cana-5249	122	3	with	with	ADP
cana-5249	122	4	a	a	DET
cana-5249	122	5	value	value	NOUN
cana-5249	122	6	of	of	ADP
cana-5249	122	7	1	1	NUM
cana-5249	122	8	in	in	ADP
cana-5249	122	9	the	the	DET
cana-5249	122	10	student	student	NOUN
cana-5249	122	11	vector	vector	NOUN
cana-5249	122	12	are	be	AUX
cana-5249	122	13	selected	select	VERB
cana-5249	122	14	as	as	ADP
cana-5249	122	15	the	the	DET
cana-5249	122	16	most	most	ADV
cana-5249	122	17	relevant	relevant	ADJ
cana-5249	122	18	features	feature	NOUN
cana-5249	122	19	for	for	ADP
cana-5249	122	20	the	the	DET
cana-5249	122	21	training	training	NOUN
cana-5249	122	22	vector	vector	NOUN
cana-5249	122	23	,	,	PUNCT
cana-5249	122	24	while	while	SCONJ
cana-5249	122	25	features	feature	NOUN
cana-5249	122	26	with	with	ADP
cana-5249	122	27	a	a	DET
cana-5249	122	28	value	value	NOUN
cana-5249	122	29	of	of	ADP
cana-5249	122	30	0	0	NUM
cana-5249	122	31	are	be	AUX
cana-5249	122	32	excluded	exclude	VERB
cana-5249	122	33	.	.	PUNCT
cana-5249	123	1	additionally	additionally	ADV
cana-5249	123	2	,	,	PUNCT
cana-5249	123	3	the	the	DET
cana-5249	123	4	desired	desire	VERB
cana-5249	123	5	output	output	NOUN
cana-5249	123	6	matrix	matrix	NOUN
cana-5249	123	7	is	be	AUX
cana-5249	123	8	updated	update	VERB
cana-5249	123	9	at	at	ADP
cana-5249	123	10	this	this	DET
cana-5249	123	11	stage	stage	NOUN
cana-5249	123	12	to	to	PART
cana-5249	123	13	reflect	reflect	VERB
cana-5249	123	14	the	the	DET
cana-5249	123	15	final	final	ADJ
cana-5249	123	16	set	set	NOUN
cana-5249	123	17	of	of	ADP
cana-5249	123	18	selected	select	VERB
cana-5249	123	19	features	feature	NOUN
cana-5249	123	20	.	.	PUNCT
cana-5249	124	1	this	this	DET
cana-5249	124	2	process	process	NOUN
cana-5249	124	3	ensures	ensure	VERB
cana-5249	124	4	that	that	SCONJ
cana-5249	124	5	the	the	DET
cana-5249	124	6	feature	feature	NOUN
cana-5249	124	7	set	set	NOUN
cana-5249	124	8	is	be	AUX
cana-5249	124	9	optimized	optimize	VERB
cana-5249	124	10	for	for	ADP
cana-5249	124	11	training	training	NOUN
cana-5249	124	12	,	,	PUNCT
cana-5249	124	13	improving	improve	VERB
cana-5249	124	14	both	both	CCONJ
cana-5249	124	15	the	the	DET
cana-5249	124	16	efficiency	efficiency	NOUN
cana-5249	124	17	of	of	ADP
cana-5249	124	18	the	the	DET
cana-5249	124	19	detection	detection	NOUN
cana-5249	124	20	system	system	NOUN
cana-5249	124	21	and	and	CCONJ
cana-5249	124	22	the	the	DET
cana-5249	124	23	accuracy	accuracy	NOUN
cana-5249	124	24	of	of	ADP
cana-5249	124	25	malicious	malicious	ADJ
cana-5249	124	26	session	session	NOUN
cana-5249	124	27	identification	identification	NOUN
cana-5249	124	28	in	in	ADP
cana-5249	124	29	cloud	cloud	ADJ
cana-5249	124	30	environments	environment	NOUN
cana-5249	124	31	.	.	PUNCT
cana-5249	125	1	fsdfilter(psd	fsdfilter(psd	PROPN
cana-5249	125	2	,	,	PUNCT
cana-5249	125	3	spb	spb	PROPN
cana-5249	125	4	)	)	PUNCT
cana-5249	125	5	nonnegative	nonnegative	ADJ
cana-5249	125	6	matrix	matrix	NOUN
cana-5249	125	7	factorization	factorization	NOUN
cana-5249	125	8	(	(	PUNCT
cana-5249	125	9	nmf	nmf	NOUN
cana-5249	125	10	)	)	PUNCT
cana-5249	125	11	feature	feature	NOUN
cana-5249	125	12	optimization	optimization	NOUN
cana-5249	125	13	plays	play	VERB
cana-5249	125	14	a	a	DET
cana-5249	125	15	crucial	crucial	ADJ
cana-5249	125	16	role	role	NOUN
cana-5249	125	17	in	in	ADP
cana-5249	125	18	machine	machine	NOUN
cana-5249	125	19	learning	learning	NOUN
cana-5249	125	20	and	and	CCONJ
cana-5249	125	21	data	datum	NOUN
cana-5249	125	22	analysis	analysis	NOUN
cana-5249	125	23	,	,	PUNCT
cana-5249	125	24	where	where	SCONJ
cana-5249	125	25	dimensionality	dimensionality	NOUN
cana-5249	125	26	reduction	reduction	NOUN
cana-5249	125	27	techniques	technique	NOUN
cana-5249	125	28	help	help	VERB
cana-5249	125	29	improve	improve	VERB
cana-5249	125	30	model	model	NOUN
cana-5249	125	31	performance	performance	NOUN
cana-5249	125	32	and	and	CCONJ
cana-5249	125	33	interpretability	interpretability	NOUN
cana-5249	125	34	[	[	X
cana-5249	125	35	20	20	NUM
cana-5249	125	36	,	,	PUNCT
cana-5249	125	37	21	21	NUM
cana-5249	125	38	]	]	PUNCT
cana-5249	125	39	.	.	PUNCT
cana-5249	126	1	nonnegative	nonnegative	ADJ
cana-5249	126	2	matrix	matrix	NOUN
cana-5249	126	3	factorization	factorization	NOUN
cana-5249	126	4	(	(	PUNCT
cana-5249	126	5	nmf	nmf	NOUN
cana-5249	126	6	)	)	PUNCT
cana-5249	126	7	is	be	AUX
cana-5249	126	8	a	a	DET
cana-5249	126	9	powerful	powerful	ADJ
cana-5249	126	10	feature	feature	NOUN
cana-5249	126	11	extraction	extraction	NOUN
cana-5249	126	12	method	method	NOUN
cana-5249	126	13	that	that	PRON
cana-5249	126	14	decomposes	decompose	VERB
cana-5249	126	15	a	a	DET
cana-5249	126	16	nonnegative	nonnegative	ADJ
cana-5249	126	17	data	data	NOUN
cana-5249	126	18	matrix	matrix	NOUN
cana-5249	126	19	into	into	ADP
cana-5249	126	20	lower	lower	ADV
cana-5249	126	21	-	-	PUNCT
cana-5249	126	22	dimensional	dimensional	ADJ
cana-5249	126	23	representations	representation	NOUN
cana-5249	126	24	while	while	SCONJ
cana-5249	126	25	preserving	preserve	VERB
cana-5249	126	26	its	its	PRON
cana-5249	126	27	inherent	inherent	ADJ
cana-5249	126	28	structure	structure	NOUN
cana-5249	126	29	.	.	PUNCT
cana-5249	127	1	nmf	nmf	PROPN
cana-5249	127	2	is	be	AUX
cana-5249	127	3	particularly	particularly	ADV
cana-5249	127	4	useful	useful	ADJ
cana-5249	127	5	in	in	ADP
cana-5249	127	6	applications	application	NOUN
cana-5249	127	7	where	where	SCONJ
cana-5249	127	8	data	datum	NOUN
cana-5249	127	9	components	component	NOUN
cana-5249	127	10	are	be	AUX
cana-5249	127	11	naturally	naturally	ADV
cana-5249	127	12	nonnegative	nonnegative	ADJ
cana-5249	127	13	,	,	PUNCT
cana-5249	127	14	such	such	ADJ
cana-5249	127	15	as	as	ADP
cana-5249	127	16	image	image	NOUN
cana-5249	127	17	processing	processing	NOUN
cana-5249	127	18	,	,	PUNCT
cana-5249	127	19	text	text	NOUN
cana-5249	127	20	mining	mining	NOUN
cana-5249	127	21	,	,	PUNCT
cana-5249	127	22	and	and	CCONJ
cana-5249	127	23	bioinformatics	bioinformatics	NOUN
cana-5249	127	24	.	.	PUNCT
cana-5249	128	1	by	by	ADP
cana-5249	128	2	factorizing	factorize	VERB
cana-5249	128	3	an	an	DET
cana-5249	128	4	input	input	NOUN
cana-5249	128	5	matrix	matrix	NOUN
cana-5249	128	6	fsd	fsd	NOUN
cana-5249	128	7	into	into	ADP
cana-5249	128	8	two	two	NUM
cana-5249	128	9	nonnegative	nonnegative	ADJ
cana-5249	128	10	matrices	matrix	NOUN
cana-5249	128	11	w	w	NOUN
cana-5249	128	12	and	and	CCONJ
cana-5249	128	13	h	h	NOUN
cana-5249	128	14	,	,	PUNCT
cana-5249	128	15	such	such	ADJ
cana-5249	128	16	that	that	SCONJ
cana-5249	128	17	:	:	PUNCT
cana-5249	129	1	[	[	X
cana-5249	129	2	w	w	X
cana-5249	129	3	h]=non_negative_matrix_factorization(fsd	h]=non_negative_matrix_factorization(fsd	NOUN
cana-5249	129	4	,	,	PUNCT
cana-5249	129	5	r	r	NOUN
cana-5249	129	6	)	)	PUNCT
cana-5249	129	7	w	w	NOUN
cana-5249	129	8	is	be	AUX
cana-5249	129	9	the	the	DET
cana-5249	129	10	basis	basis	NOUN
cana-5249	129	11	matrix	matrix	NOUN
cana-5249	129	12	(	(	PUNCT
cana-5249	129	13	m×r	m×r	PROPN
cana-5249	129	14	)	)	PUNCT
cana-5249	129	15	,	,	PUNCT
cana-5249	129	16	h	h	NOUN
cana-5249	129	17	is	be	AUX
cana-5249	129	18	the	the	DET
cana-5249	129	19	coefficient	coefficient	NOUN
cana-5249	129	20	matrix	matrix	NOUN
cana-5249	129	21	(	(	PUNCT
cana-5249	129	22	r×n	r×n	PROPN
cana-5249	129	23	)	)	PUNCT
cana-5249	129	24	,	,	PUNCT
cana-5249	129	25	r	r	NOUN
cana-5249	129	26	is	be	AUX
cana-5249	129	27	the	the	DET
cana-5249	129	28	reduced	reduced	ADJ
cana-5249	129	29	dimensionality	dimensionality	NOUN
cana-5249	129	30	.	.	PUNCT
cana-5249	130	1	nmf	nmf	NOUN
cana-5249	130	2	ensures	ensure	VERB
cana-5249	130	3	that	that	SCONJ
cana-5249	130	4	the	the	DET
cana-5249	130	5	resulting	result	VERB
cana-5249	130	6	factors	factor	NOUN
cana-5249	130	7	are	be	AUX
cana-5249	130	8	interpretable	interpretable	ADJ
cana-5249	130	9	,	,	PUNCT
cana-5249	130	10	meaning	mean	VERB
cana-5249	130	11	that	that	SCONJ
cana-5249	130	12	each	each	DET
cana-5249	130	13	feature	feature	NOUN
cana-5249	130	14	is	be	AUX
cana-5249	130	15	expressed	express	VERB
cana-5249	130	16	as	as	ADP
cana-5249	130	17	an	an	DET
cana-5249	130	18	additive	additive	ADJ
cana-5249	130	19	combination	combination	NOUN
cana-5249	130	20	of	of	ADP
cana-5249	130	21	nonnegative	nonnegative	ADJ
cana-5249	130	22	basis	basis	NOUN
cana-5249	130	23	components	component	NOUN
cana-5249	130	24	[	[	X
cana-5249	130	25	20	20	NUM
cana-5249	130	26	]	]	PUNCT
cana-5249	130	27	.	.	PUNCT
cana-5249	131	1	this	this	PRON
cana-5249	131	2	makes	make	VERB
cana-5249	131	3	nmf	nmf	NOUN
cana-5249	131	4	highly	highly	ADV
cana-5249	131	5	effective	effective	ADJ
cana-5249	131	6	for	for	ADP
cana-5249	131	7	feature	feature	NOUN
cana-5249	131	8	selection	selection	NOUN
cana-5249	131	9	and	and	CCONJ
cana-5249	131	10	optimization	optimization	NOUN
cana-5249	131	11	,	,	PUNCT
cana-5249	131	12	as	as	SCONJ
cana-5249	131	13	it	it	PRON
cana-5249	131	14	eliminates	eliminate	VERB
cana-5249	131	15	redundancy	redundancy	NOUN
cana-5249	131	16	and	and	CCONJ
cana-5249	131	17	enhances	enhance	VERB
cana-5249	131	18	meaningful	meaningful	ADJ
cana-5249	131	19	patterns	pattern	NOUN
cana-5249	131	20	in	in	ADP
cana-5249	131	21	the	the	DET
cana-5249	131	22	data	datum	NOUN
cana-5249	131	23	.	.	PUNCT
cana-5249	132	1	ensemble	ensemble	ADJ
cana-5249	132	2	model	model	NOUN
cana-5249	132	3	learning	learning	PROPN
cana-5249	132	4	model	model	NOUN
cana-5249	132	5	is	be	AUX
cana-5249	132	6	a	a	DET
cana-5249	132	7	combination	combination	NOUN
cana-5249	132	8	of	of	ADP
cana-5249	132	9	two	two	NUM
cana-5249	132	10	different	different	ADJ
cana-5249	132	11	set	set	NOUN
cana-5249	132	12	where	where	SCONJ
cana-5249	132	13	input	input	NOUN
cana-5249	132	14	features	feature	NOUN
cana-5249	132	15	were	be	AUX
cana-5249	132	16	used	use	VERB
cana-5249	132	17	for	for	ADP
cana-5249	132	18	the	the	DET
cana-5249	132	19	training	training	NOUN
cana-5249	132	20	of	of	ADP
cana-5249	132	21	models	model	NOUN
cana-5249	132	22	separately	separately	ADV
cana-5249	132	23	and	and	CCONJ
cana-5249	132	24	gives	give	VERB
cana-5249	132	25	an	an	DET
cana-5249	132	26	output	output	NOUN
cana-5249	132	27	of	of	ADP
cana-5249	132	28	class	class	NOUN
cana-5249	132	29	collectively	collectively	ADV
cana-5249	132	30	.	.	PUNCT
cana-5249	133	1	this	this	DET
cana-5249	133	2	work	work	NOUN
cana-5249	133	3	uses	use	VERB
cana-5249	133	4	lstm	lstm	NOUN
cana-5249	133	5	[	[	X
cana-5249	133	6	22	22	NUM
cana-5249	133	7	]	]	PUNCT
cana-5249	133	8	and	and	CCONJ
cana-5249	133	9	neural	neural	ADJ
cana-5249	133	10	network	network	NOUN
cana-5249	133	11	for	for	ADP
cana-5249	133	12	the	the	DET
cana-5249	133	13	learning	learning	NOUN
cana-5249	133	14	takes	take	VERB
cana-5249	133	15	h	h	NOUN
cana-5249	133	16	,	,	PUNCT
cana-5249	133	17	doc	doc	PROPN
cana-5249	133	18	as	as	ADP
cana-5249	133	19	input	input	NOUN
cana-5249	133	20	.	.	PUNCT
cana-5249	134	1	lstm	lstm	NOUN
cana-5249	134	2	have	have	VERB
cana-5249	134	3	four	four	NUM
cana-5249	134	4	layers	layer	NOUN
cana-5249	134	5	for	for	ADP
cana-5249	134	6	learning	learn	VERB
cana-5249	134	7	.	.	PUNCT
cana-5249	135	1	communications	communication	NOUN
cana-5249	135	2	on	on	ADP
cana-5249	135	3	applied	apply	VERB
cana-5249	135	4	nonlinear	nonlinear	ADJ
cana-5249	135	5	analysis	analysis	NOUN
cana-5249	135	6	issn	issn	NOUN
cana-5249	135	7	:	:	PUNCT
cana-5249	135	8	1074	1074	NUM
cana-5249	135	9	-	-	PUNCT
cana-5249	135	10	133x	133x	NUM
cana-5249	135	11	vol	vol	NOUN
cana-5249	135	12	31	31	NUM
cana-5249	135	13	no	no	NOUN
cana-5249	135	14	.	.	PUNCT
cana-5249	136	1	8s	8s	PROPN
cana-5249	136	2	(	(	PUNCT
cana-5249	136	3	2024	2024	NUM
cana-5249	136	4	)	)	PUNCT
cana-5249	136	5	929	929	NUM
cana-5249	136	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	136	7	input	input	NOUN
cana-5249	136	8	layer	layer	NOUN
cana-5249	136	9	:	:	PUNCT
cana-5249	136	10	this	this	DET
cana-5249	136	11	layer	layer	NOUN
cana-5249	136	12	takes	take	VERB
cana-5249	136	13	the	the	DET
cana-5249	136	14	preprocessed	preprocesse	VERB
cana-5249	136	15	network	network	NOUN
cana-5249	136	16	data	datum	NOUN
cana-5249	136	17	as	as	ADP
cana-5249	136	18	input	input	NOUN
cana-5249	136	19	.	.	PUNCT
cana-5249	137	1	the	the	DET
cana-5249	137	2	input	input	NOUN
cana-5249	137	3	features	feature	NOUN
cana-5249	137	4	can	can	AUX
cana-5249	137	5	include	include	VERB
cana-5249	137	6	a	a	DET
cana-5249	137	7	range	range	NOUN
cana-5249	137	8	of	of	ADP
cana-5249	137	9	attributes	attribute	NOUN
cana-5249	137	10	such	such	ADJ
cana-5249	137	11	as	as	ADP
cana-5249	137	12	packet	packet	NOUN
cana-5249	137	13	size	size	NOUN
cana-5249	137	14	,	,	PUNCT
cana-5249	137	15	time	time	NOUN
cana-5249	137	16	intervals	interval	NOUN
cana-5249	137	17	,	,	PUNCT
cana-5249	137	18	protocol	protocol	NOUN
cana-5249	137	19	type	type	NOUN
cana-5249	137	20	,	,	PUNCT
cana-5249	137	21	source	source	NOUN
cana-5249	137	22	and	and	CCONJ
cana-5249	137	23	destination	destination	NOUN
cana-5249	137	24	ip	ip	NOUN
cana-5249	137	25	addresses	address	NOUN
cana-5249	137	26	,	,	PUNCT
cana-5249	137	27	etc	etc	X
cana-5249	137	28	.	.	X
cana-5249	137	29	embedding	embed	VERB
cana-5249	137	30	layer	layer	NOUN
cana-5249	137	31	(	(	PUNCT
cana-5249	137	32	optional	optional	ADJ
cana-5249	137	33	):	):	PUNCT
cana-5249	137	34	if	if	SCONJ
cana-5249	137	35	the	the	DET
cana-5249	137	36	input	input	NOUN
cana-5249	137	37	data	datum	NOUN
cana-5249	137	38	includes	include	VERB
cana-5249	137	39	categorical	categorical	ADJ
cana-5249	137	40	features	feature	NOUN
cana-5249	137	41	,	,	PUNCT
cana-5249	137	42	an	an	DET
cana-5249	137	43	embedding	embed	VERB
cana-5249	137	44	layer	layer	NOUN
cana-5249	137	45	can	can	AUX
cana-5249	137	46	be	be	AUX
cana-5249	137	47	used	use	VERB
cana-5249	137	48	to	to	PART
cana-5249	137	49	transform	transform	VERB
cana-5249	137	50	these	these	DET
cana-5249	137	51	features	feature	NOUN
cana-5249	137	52	into	into	ADP
cana-5249	137	53	continuous	continuous	ADJ
cana-5249	137	54	vectors	vector	NOUN
cana-5249	137	55	that	that	PRON
cana-5249	137	56	are	be	AUX
cana-5249	137	57	easier	easy	ADJ
cana-5249	137	58	for	for	SCONJ
cana-5249	137	59	the	the	DET
cana-5249	137	60	lstm	lstm	NOUN
cana-5249	137	61	to	to	PART
cana-5249	137	62	process	process	VERB
cana-5249	137	63	[	[	X
cana-5249	137	64	23	23	NUM
cana-5249	137	65	]	]	PUNCT
cana-5249	137	66	.	.	PUNCT
cana-5249	138	1	lstm	lstm	ADJ
cana-5249	138	2	layers	layer	NOUN
cana-5249	138	3	:	:	PUNCT
cana-5249	138	4	one	one	NUM
cana-5249	138	5	or	or	CCONJ
cana-5249	138	6	more	more	ADJ
cana-5249	138	7	lstm	lstm	ADJ
cana-5249	138	8	layers	layer	NOUN
cana-5249	138	9	are	be	AUX
cana-5249	138	10	used	use	VERB
cana-5249	138	11	to	to	PART
cana-5249	138	12	learn	learn	VERB
cana-5249	138	13	the	the	DET
cana-5249	138	14	temporal	temporal	ADJ
cana-5249	138	15	patterns	pattern	NOUN
cana-5249	138	16	in	in	ADP
cana-5249	138	17	the	the	DET
cana-5249	138	18	data	datum	NOUN
cana-5249	138	19	.	.	PUNCT
cana-5249	139	1	the	the	DET
cana-5249	139	2	number	number	NOUN
cana-5249	139	3	of	of	ADP
cana-5249	139	4	lstm	lstm	ADJ
cana-5249	139	5	layers	layer	NOUN
cana-5249	139	6	and	and	CCONJ
cana-5249	139	7	the	the	DET
cana-5249	139	8	number	number	NOUN
cana-5249	139	9	of	of	ADP
cana-5249	139	10	neurons	neuron	NOUN
cana-5249	139	11	in	in	ADP
cana-5249	139	12	each	each	DET
cana-5249	139	13	layer	layer	NOUN
cana-5249	139	14	can	can	AUX
cana-5249	139	15	be	be	AUX
cana-5249	139	16	adjusted	adjust	VERB
cana-5249	139	17	based	base	VERB
cana-5249	139	18	on	on	ADP
cana-5249	139	19	the	the	DET
cana-5249	139	20	complexity	complexity	NOUN
cana-5249	139	21	of	of	ADP
cana-5249	139	22	the	the	DET
cana-5249	139	23	data	datum	NOUN
cana-5249	139	24	and	and	CCONJ
cana-5249	139	25	the	the	DET
cana-5249	139	26	desired	desire	VERB
cana-5249	139	27	level	level	NOUN
cana-5249	139	28	of	of	ADP
cana-5249	139	29	model	model	NOUN
cana-5249	139	30	expressiveness	expressiveness	NOUN
cana-5249	139	31	.	.	PUNCT
cana-5249	140	1	dropout	dropout	NOUN
cana-5249	140	2	layer	layer	NOUN
cana-5249	140	3	:	:	PUNCT
cana-5249	140	4	to	to	PART
cana-5249	140	5	prevent	prevent	VERB
cana-5249	140	6	over	over	ADP
cana-5249	140	7	fitting	fitting	ADJ
cana-5249	140	8	,	,	PUNCT
cana-5249	140	9	dropout	dropout	NOUN
cana-5249	140	10	layers	layer	NOUN
cana-5249	140	11	are	be	AUX
cana-5249	140	12	often	often	ADV
cana-5249	140	13	added	add	VERB
cana-5249	140	14	after	after	ADP
cana-5249	140	15	the	the	DET
cana-5249	140	16	lstm	lstm	ADJ
cana-5249	140	17	layers	layer	NOUN
cana-5249	140	18	.	.	PUNCT
cana-5249	141	1	dropout	dropout	NOUN
cana-5249	141	2	layers	layer	NOUN
cana-5249	141	3	randomly	randomly	ADV
cana-5249	141	4	deactivate	deactivate	VERB
cana-5249	141	5	a	a	DET
cana-5249	141	6	fraction	fraction	NOUN
cana-5249	141	7	of	of	ADP
cana-5249	141	8	neurons	neuron	NOUN
cana-5249	141	9	during	during	ADP
cana-5249	141	10	training	training	NOUN
cana-5249	141	11	,	,	PUNCT
cana-5249	141	12	which	which	PRON
cana-5249	141	13	helps	help	VERB
cana-5249	141	14	in	in	ADP
cana-5249	141	15	generalizing	generalize	VERB
cana-5249	141	16	the	the	DET
cana-5249	141	17	model	model	NOUN
cana-5249	141	18	better	well	ADV
cana-5249	141	19	to	to	ADP
cana-5249	141	20	unseen	unseen	ADJ
cana-5249	141	21	data	datum	NOUN
cana-5249	141	22	.	.	PUNCT
cana-5249	142	1	proposed	propose	VERB
cana-5249	142	2	mtofns	mtofns	NOUN
cana-5249	142	3	algorithm	algorithm	NOUN
cana-5249	142	4	input	input	NOUN
cana-5249	142	5	:	:	PUNCT
cana-5249	142	6	nsd	nsd	NOUN
cana-5249	142	7	output	output	NOUN
cana-5249	142	8	:	:	PUNCT
cana-5249	142	9	tem	tem	PROPN
cana-5249	142	10	//	//	NUM
cana-5249	142	11	trained	train	VERB
cana-5249	142	12	ensemble	ensemble	ADJ
cana-5249	142	13	model	model	NOUN
cana-5249	142	14	1	1	NUM
cana-5249	142	15	.	.	PUNCT
cana-5249	143	1	[	[	X
cana-5249	143	2	pnsd	pnsd	NOUN
cana-5249	143	3	doc]dataprocessing(nsd	doc]dataprocessing(nsd	NOUN
cana-5249	143	4	)	)	PUNCT
cana-5249	143	5	//	//	NOUN
cana-5249	144	1	do	do	VERB
cana-5249	144	2	:	:	PUNCT
cana-5249	144	3	desired	desire	VERB
cana-5249	144	4	output	output	NOUN
cana-5249	144	5	class	class	NOUN
cana-5249	144	6	2	2	NUM
cana-5249	144	7	.	.	PUNCT
cana-5249	145	1	spgeneratepopulation(s	spgeneratepopulation(s	ADJ
cana-5249	145	2	,	,	PUNCT
cana-5249	145	3	n	n	CCONJ
cana-5249	145	4	,	,	PUNCT
cana-5249	145	5	f	f	X
cana-5249	145	6	)	)	PUNCT
cana-5249	145	7	3	3	NUM
cana-5249	145	8	.	.	X
cana-5249	145	9	loop	loop	NOUN
cana-5249	145	10	1	1	NUM
cana-5249	145	11	:	:	PUNCT
cana-5249	145	12	itreration	itreration	NOUN
cana-5249	145	13	4	4	NUM
cana-5249	145	14	.	.	PUNCT
cana-5249	146	1	sflstmaccuracy(sp	sflstmaccuracy(sp	PROPN
cana-5249	146	2	,	,	PUNCT
cana-5249	146	3	pnsd	pnsd	PROPN
cana-5249	146	4	,	,	PUNCT
cana-5249	146	5	doc	doc	PROPN
cana-5249	146	6	)	)	PUNCT
cana-5249	146	7	5	5	NUM
cana-5249	146	8	.	.	PUNCT
cana-5249	147	1	spteacher_phase(sp	spteacher_phase(sp	PROPN
cana-5249	147	2	,	,	PUNCT
cana-5249	147	3	sf	sf	PROPN
cana-5249	147	4	,	,	PUNCT
cana-5249	147	5	pnsd	pnsd	PROPN
cana-5249	147	6	,	,	PUNCT
cana-5249	147	7	doc	doc	PROPN
cana-5249	147	8	)	)	PUNCT
cana-5249	147	9	6	6	NUM
cana-5249	147	10	.	.	PUNCT
cana-5249	148	1	spstudent_phase(sp	spstudent_phase(sp	PROPN
cana-5249	148	2	,	,	PUNCT
cana-5249	148	3	sf	sf	PROPN
cana-5249	148	4	,	,	PUNCT
cana-5249	148	5	pnsd	pnsd	PROPN
cana-5249	148	6	,	,	PUNCT
cana-5249	148	7	doc	doc	PROPN
cana-5249	148	8	)	)	PUNCT
cana-5249	148	9	7	7	NUM
cana-5249	148	10	.	.	X
cana-5249	148	11	endloop	endloop	PROPN
cana-5249	148	12	8	8	NUM
cana-5249	148	13	.	.	PUNCT
cana-5249	149	1	sflstmaccuracy(sp	sflstmaccuracy(sp	PROPN
cana-5249	149	2	,	,	PUNCT
cana-5249	149	3	pnsd	pnsd	PROPN
cana-5249	149	4	,	,	PUNCT
cana-5249	149	5	doc	doc	PROPN
cana-5249	149	6	)	)	PUNCT
cana-5249	149	7	9	9	NUM
cana-5249	149	8	.	.	PUNCT
cana-5249	150	1	spb	spb	NOUN
cana-5249	150	2	best(sf	best(sf	NOUN
cana-5249	150	3	)	)	PUNCT
cana-5249	150	4	10	10	NUM
cana-5249	150	5	.	.	PUNCT
cana-5249	151	1	fsdfilter(psd	fsdfilter(psd	PROPN
cana-5249	151	2	,	,	PUNCT
cana-5249	151	3	spb	spb	PROPN
cana-5249	151	4	)	)	PUNCT
cana-5249	151	5	11	11	NUM
cana-5249	151	6	.	.	PUNCT
cana-5249	152	1	h	h	NOUN
cana-5249	153	1	=	=	NOUN
cana-5249	153	2	non_negative_matrix(fsd	non_negative_matrix(fsd	ADJ
cana-5249	153	3	,	,	PUNCT
cana-5249	153	4	r	r	NOUN
cana-5249	153	5	)	)	PUNCT
cana-5249	153	6	12	12	NUM
cana-5249	153	7	.	.	PUNCT
cana-5249	154	1	mlstmintialize_lstm(tf	mlstmintialize_lstm(tf	NOUN
cana-5249	154	2	,	,	PUNCT
cana-5249	154	3	pnsd	pnsd	PROPN
cana-5249	154	4	)	)	PUNCT
cana-5249	154	5	13	13	NUM
cana-5249	154	6	.	.	PUNCT
cana-5249	155	1	mnnintialize_lstm(tf	mnnintialize_lstm(tf	PROPN
cana-5249	155	2	,	,	PUNCT
cana-5249	155	3	pnsd	pnsd	PROPN
cana-5249	155	4	)	)	PUNCT
cana-5249	155	5	14	14	NUM
cana-5249	155	6	.	.	PUNCT
cana-5249	156	1	temtrain_ensemble(mlstm	temtrain_ensemble(mlstm	NUM
cana-5249	156	2	,	,	PUNCT
cana-5249	156	3	mnn	mnn	PROPN
cana-5249	156	4	,	,	PUNCT
cana-5249	156	5	h	h	NOUN
cana-5249	156	6	,	,	PUNCT
cana-5249	156	7	doc	doc	PROPN
cana-5249	156	8	)	)	PUNCT
cana-5249	156	9	above	above	ADP
cana-5249	156	10	algorithm	algorithm	NOUN
cana-5249	156	11	has	have	AUX
cana-5249	156	12	taken	take	VERB
cana-5249	156	13	an	an	DET
cana-5249	156	14	input	input	NOUN
cana-5249	156	15	of	of	ADP
cana-5249	156	16	the	the	DET
cana-5249	156	17	raw	raw	ADJ
cana-5249	156	18	network	network	NOUN
cana-5249	156	19	sessions	session	NOUN
cana-5249	156	20	and	and	CCONJ
cana-5249	156	21	find	find	VERB
cana-5249	156	22	the	the	DET
cana-5249	156	23	features	feature	NOUN
cana-5249	156	24	that	that	PRON
cana-5249	156	25	are	be	AUX
cana-5249	156	26	effective	effective	ADJ
cana-5249	156	27	by	by	ADP
cana-5249	156	28	use	use	NOUN
cana-5249	156	29	of	of	ADP
cana-5249	156	30	modified	modify	VERB
cana-5249	156	31	teacher	teacher	NOUN
cana-5249	156	32	learning	learn	VERB
cana-5249	156	33	optimization	optimization	NOUN
cana-5249	156	34	and	and	CCONJ
cana-5249	156	35	transformed	transform	VERB
cana-5249	156	36	features	feature	NOUN
cana-5249	156	37	by	by	ADP
cana-5249	156	38	nonnegative	nonnegative	ADJ
cana-5249	156	39	matrix	matrix	NOUN
cana-5249	156	40	factorization	factorization	NOUN
cana-5249	156	41	method	method	NOUN
cana-5249	156	42	for	for	ADP
cana-5249	156	43	the	the	DET
cana-5249	156	44	training	training	NOUN
cana-5249	156	45	of	of	ADP
cana-5249	156	46	ensemble	ensemble	ADJ
cana-5249	156	47	model	model	NOUN
cana-5249	156	48	.	.	PUNCT
cana-5249	157	1	iv	iv	X
cana-5249	157	2	.	.	PUNCT
cana-5249	157	3	experiment	experiment	NOUN
cana-5249	157	4	and	and	CCONJ
cana-5249	157	5	results	result	VERB
cana-5249	157	6	the	the	DET
cana-5249	157	7	proposed	propose	VERB
cana-5249	157	8	mtofns	mtofns	NOUN
cana-5249	157	9	model	model	NOUN
cana-5249	157	10	and	and	CCONJ
cana-5249	157	11	the	the	DET
cana-5249	157	12	comparative	comparative	ADJ
cana-5249	157	13	model	model	NOUN
cana-5249	157	14	were	be	AUX
cana-5249	157	15	implemented	implement	VERB
cana-5249	157	16	using	use	VERB
cana-5249	157	17	matlab	matlab	PROPN
cana-5249	157	18	software	software	NOUN
cana-5249	157	19	.	.	PUNCT
cana-5249	158	1	the	the	DET
cana-5249	158	2	experiments	experiment	NOUN
cana-5249	158	3	were	be	AUX
cana-5249	158	4	conducted	conduct	VERB
cana-5249	158	5	on	on	ADP
cana-5249	158	6	a	a	DET
cana-5249	158	7	system	system	NOUN
cana-5249	158	8	equipped	equip	VERB
cana-5249	158	9	with	with	ADP
cana-5249	158	10	a	a	DET
cana-5249	158	11	6th	6th	ADJ
cana-5249	158	12	generation	generation	NOUN
cana-5249	158	13	intel	intel	NOUN
cana-5249	158	14	core	core	NOUN
cana-5249	158	15	i3	i3	NOUN
cana-5249	158	16	processor	processor	NOUN
cana-5249	158	17	and	and	CCONJ
cana-5249	158	18	4	4	NUM
cana-5249	158	19	gb	gb	NOUN
cana-5249	158	20	of	of	ADP
cana-5249	158	21	ram	ram	NOUN
cana-5249	158	22	.	.	PUNCT
cana-5249	159	1	the	the	DET
cana-5249	159	2	dataset	dataset	NOUN
cana-5249	159	3	used	use	VERB
cana-5249	159	4	for	for	ADP
cana-5249	159	5	evaluation	evaluation	NOUN
cana-5249	159	6	was	be	AUX
cana-5249	159	7	sourced	source	VERB
cana-5249	159	8	from	from	ADP
cana-5249	159	9	[	[	X
cana-5249	159	10	23	23	NUM
cana-5249	159	11	]	]	PUNCT
cana-5249	159	12	.	.	PUNCT
cana-5249	160	1	to	to	PART
cana-5249	160	2	assess	assess	VERB
cana-5249	160	3	the	the	DET
cana-5249	160	4	performance	performance	NOUN
cana-5249	160	5	of	of	ADP
cana-5249	160	6	mtofns	mtofns	NOUN
cana-5249	160	7	,	,	PUNCT
cana-5249	160	8	its	its	PRON
cana-5249	160	9	results	result	NOUN
cana-5249	160	10	were	be	AUX
cana-5249	160	11	compared	compare	VERB
cana-5249	160	12	with	with	ADP
cana-5249	160	13	those	those	PRON
cana-5249	160	14	of	of	ADP
cana-5249	160	15	the	the	DET
cana-5249	160	16	cloud	cloud	ADJ
cana-5249	160	17	malicious	malicious	ADJ
cana-5249	160	18	session	session	NOUN
cana-5249	160	19	detection	detection	NOUN
cana-5249	160	20	model	model	NOUN
cana-5249	160	21	proposed	propose	VERB
cana-5249	160	22	in	in	ADP
cana-5249	160	23	[	[	X
cana-5249	160	24	12	12	NUM
cana-5249	160	25	]	]	PUNCT
cana-5249	160	26	.	.	PUNCT
cana-5249	161	1	communications	communication	NOUN
cana-5249	161	2	on	on	ADP
cana-5249	161	3	applied	apply	VERB
cana-5249	161	4	nonlinear	nonlinear	ADJ
cana-5249	161	5	analysis	analysis	NOUN
cana-5249	161	6	issn	issn	NOUN
cana-5249	161	7	:	:	PUNCT
cana-5249	161	8	1074	1074	NUM
cana-5249	161	9	-	-	PUNCT
cana-5249	161	10	133x	133x	NUM
cana-5249	161	11	vol	vol	NOUN
cana-5249	161	12	31	31	NUM
cana-5249	161	13	no	no	NOUN
cana-5249	161	14	.	.	PUNCT
cana-5249	162	1	8s	8s	PROPN
cana-5249	162	2	(	(	PUNCT
cana-5249	162	3	2024	2024	NUM
cana-5249	162	4	)	)	PUNCT
cana-5249	162	5	930	930	NUM
cana-5249	162	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	162	7	evaluation	evaluation	NOUN
cana-5249	162	8	parameter	parameter	NOUN
cana-5249	162	9	precision	precision	NOUN
cana-5249	162	10	=	=	PUNCT
cana-5249	162	11	tp	tp	NOUN
cana-5249	162	12	/	/	SYM
cana-5249	162	13	(	(	PUNCT
cana-5249	162	14	tp+	tp+	PROPN
cana-5249	162	15	fp	fp	NOUN
cana-5249	162	16	)	)	PUNCT
cana-5249	162	17	recall	recall	NOUN
cana-5249	162	18	=	=	INTJ
cana-5249	162	19	tp	tp	NOUN
cana-5249	162	20	/	/	PUNCT
cana-5249	162	21	(	(	PUNCT
cana-5249	162	22	tp	tp	PART
cana-5249	162	23	+	+	CCONJ
cana-5249	162	24	tn	tn	NOUN
cana-5249	162	25	)	)	PUNCT
cana-5249	162	26	f	f	NOUN
cana-5249	162	27	-	-	PUNCT
cana-5249	162	28	measure	measure	NOUN
cana-5249	162	29	=	=	SYM
cana-5249	162	30	2	2	NUM
cana-5249	162	31	*	*	NOUN
cana-5249	162	32	precision	precision	NOUN
cana-5249	162	33	*	*	PUNCT
cana-5249	162	34	recall	recall	VERB
cana-5249	162	35	/	/	SYM
cana-5249	162	36	(	(	PUNCT
cana-5249	162	37	precision	precision	NOUN
cana-5249	162	38	+	+	CCONJ
cana-5249	162	39	recall	recall	NOUN
cana-5249	162	40	)	)	PUNCT
cana-5249	162	41	accuracy	accuracy	NOUN
cana-5249	162	42	=	=	SYM
cana-5249	162	43	(	(	PUNCT
cana-5249	162	44	tp+tn)/(tp+tn+fp+fn	tp+tn)/(tp+tn+fp+fn	NOUN
cana-5249	162	45	)	)	PUNCT
cana-5249	162	46	where	where	SCONJ
cana-5249	162	47	tp	tp	X
cana-5249	162	48	:	:	PUNCT
cana-5249	162	49	true	true	ADJ
cana-5249	162	50	positive	positive	ADJ
cana-5249	162	51	,	,	PUNCT
cana-5249	162	52	tn	tn	NOUN
cana-5249	162	53	:	:	PUNCT
cana-5249	162	54	true	true	ADJ
cana-5249	162	55	negative	negative	ADJ
cana-5249	162	56	,	,	PUNCT
cana-5249	162	57	fp	fp	ADJ
cana-5249	162	58	:	:	PUNCT
cana-5249	162	59	false	false	ADJ
cana-5249	162	60	positive	positive	ADJ
cana-5249	162	61	,	,	PUNCT
cana-5249	162	62	fn	fn	NOUN
cana-5249	162	63	:	:	PUNCT
cana-5249	162	64	false	false	ADJ
cana-5249	162	65	negative	negative	ADJ
cana-5249	162	66	execution	execution	NOUN
cana-5249	162	67	time	time	NOUN
cana-5249	162	68	:	:	PUNCT
cana-5249	162	69	algorithm	algorithm	NOUN
cana-5249	162	70	success	success	NOUN
cana-5249	162	71	depends	depend	VERB
cana-5249	162	72	on	on	ADP
cana-5249	162	73	retrieval	retrieval	NOUN
cana-5249	162	74	time	time	NOUN
cana-5249	162	75	of	of	ADP
cana-5249	162	76	data	datum	NOUN
cana-5249	162	77	after	after	ADP
cana-5249	162	78	user	user	NOUN
cana-5249	162	79	query	query	NOUN
cana-5249	162	80	processing	processing	NOUN
cana-5249	162	81	.	.	PUNCT
cana-5249	163	1	so	so	ADV
cana-5249	163	2	this	this	DET
cana-5249	163	3	parameter	parameter	NOUN
cana-5249	163	4	is	be	AUX
cana-5249	163	5	in	in	ADP
cana-5249	163	6	seconds	second	NOUN
cana-5249	163	7	lessen	lessen	NOUN
cana-5249	163	8	value	value	NOUN
cana-5249	163	9	is	be	AUX
cana-5249	163	10	desirable	desirable	ADJ
cana-5249	163	11	.	.	PUNCT
cana-5249	164	1	results	result	NOUN
cana-5249	164	2	table	table	VERB
cana-5249	164	3	2	2	NUM
cana-5249	164	4	network	network	NOUN
cana-5249	164	5	security	security	NOUN
cana-5249	164	6	alarm	alarm	NOUN
cana-5249	164	7	models	model	VERB
cana-5249	164	8	comparison	comparison	NOUN
cana-5249	164	9	on	on	ADP
cana-5249	164	10	the	the	DET
cana-5249	164	11	basis	basis	NOUN
cana-5249	164	12	of	of	ADP
cana-5249	164	13	precision	precision	NOUN
cana-5249	164	14	values	value	NOUN
cana-5249	164	15	.	.	PUNCT
cana-5249	165	1	testing	test	VERB
cana-5249	165	2	dataset	dataset	PROPN
cana-5249	165	3	mtofns	mtofns	NOUN
cana-5249	165	4	dcnn	dcnn	PROPN
cana-5249	165	5	5000	5000	NUM
cana-5249	165	6	0.9671	0.9671	NUM
cana-5249	165	7	0.8254	0.8254	NUM
cana-5249	165	8	10000	10000	NUM
cana-5249	165	9	0.969	0.969	NUM
cana-5249	165	10	0.8082	0.8082	NUM
cana-5249	165	11	15000	15000	NUM
cana-5249	165	12	0.9689	0.9689	NUM
cana-5249	165	13	0.7605	0.7605	NUM
cana-5249	165	14	20000	20000	NUM
cana-5249	165	15	0.9689	0.9689	NUM
cana-5249	165	16	0.7584	0.7584	NUM
cana-5249	165	17	25000	25000	NUM
cana-5249	165	18	0.9686	0.9686	NUM
cana-5249	165	19	0.7546	0.7546	NUM
cana-5249	165	20	table	table	NOUN
cana-5249	165	21	1	1	NUM
cana-5249	165	22	shows	show	VERB
cana-5249	165	23	precision	precision	NOUN
cana-5249	165	24	values	value	NOUN
cana-5249	165	25	of	of	ADP
cana-5249	165	26	network	network	NOUN
cana-5249	165	27	security	security	NOUN
cana-5249	165	28	alarming	alarming	ADJ
cana-5249	165	29	models	model	NOUN
cana-5249	165	30	.	.	PUNCT
cana-5249	166	1	proposed	propose	VERB
cana-5249	166	2	mtofns	mtofns	NOUN
cana-5249	166	3	model	model	NOUN
cana-5249	166	4	has	have	AUX
cana-5249	166	5	improved	improve	VERB
cana-5249	166	6	the	the	DET
cana-5249	166	7	true	true	ADJ
cana-5249	166	8	alarm	alarm	NOUN
cana-5249	166	9	class	class	NOUN
cana-5249	166	10	detection	detection	NOUN
cana-5249	166	11	precision	precision	NOUN
cana-5249	166	12	values	value	NOUN
cana-5249	166	13	by	by	ADP
cana-5249	166	14	19.31	19.31	NUM
cana-5249	166	15	%	%	NOUN
cana-5249	166	16	as	as	ADP
cana-5249	166	17	compared	compare	VERB
cana-5249	166	18	to	to	ADP
cana-5249	166	19	dcnn	dcnn	PROPN
cana-5249	166	20	[	[	X
cana-5249	166	21	12	12	NUM
cana-5249	166	22	]	]	PUNCT
cana-5249	166	23	.	.	PUNCT
cana-5249	167	1	it	it	PRON
cana-5249	167	2	was	be	AUX
cana-5249	167	3	found	find	VERB
cana-5249	167	4	that	that	SCONJ
cana-5249	167	5	use	use	NOUN
cana-5249	167	6	of	of	ADP
cana-5249	167	7	modified	modify	VERB
cana-5249	167	8	teacher	teacher	NOUN
cana-5249	167	9	learning	learn	VERB
cana-5249	167	10	group	group	NOUN
cana-5249	167	11	phase	phase	NOUN
cana-5249	167	12	model	model	NOUN
cana-5249	167	13	has	have	AUX
cana-5249	167	14	increases	increase	VERB
cana-5249	167	15	the	the	DET
cana-5249	167	16	feature	feature	NOUN
cana-5249	167	17	selection	selection	NOUN
cana-5249	167	18	quality	quality	NOUN
cana-5249	167	19	and	and	CCONJ
cana-5249	167	20	results	result	NOUN
cana-5249	167	21	in	in	ADP
cana-5249	167	22	better	well	ADJ
cana-5249	167	23	detection	detection	NOUN
cana-5249	167	24	of	of	ADP
cana-5249	167	25	attacks	attack	NOUN
cana-5249	167	26	.	.	PUNCT
cana-5249	168	1	table	table	NOUN
cana-5249	168	2	3	3	NUM
cana-5249	168	3	network	network	NOUN
cana-5249	168	4	security	security	NOUN
cana-5249	168	5	alarm	alarm	NOUN
cana-5249	168	6	models	model	VERB
cana-5249	168	7	comparison	comparison	NOUN
cana-5249	168	8	on	on	ADP
cana-5249	168	9	the	the	DET
cana-5249	168	10	basis	basis	NOUN
cana-5249	168	11	of	of	ADP
cana-5249	168	12	recall	recall	NOUN
cana-5249	168	13	values	value	NOUN
cana-5249	168	14	.	.	PUNCT
cana-5249	169	1	testing	test	VERB
cana-5249	169	2	dataset	dataset	VERB
cana-5249	169	3	mtofns	mtofns	PROPN
cana-5249	169	4	previous	previous	ADJ
cana-5249	169	5	model	model	NOUN
cana-5249	169	6	5000	5000	NUM
cana-5249	169	7	0.9653	0.9653	NUM
cana-5249	170	1	0.8467	0.8467	NUM
cana-5249	170	2	10000	10000	NUM
cana-5249	170	3	0.9672	0.9672	NUM
cana-5249	170	4	0.7771	0.7771	NUM
cana-5249	170	5	15000	15000	NUM
cana-5249	170	6	0.9673	0.9673	NUM
cana-5249	170	7	0.7892	0.7892	NUM
cana-5249	170	8	20000	20000	NUM
cana-5249	170	9	0.9649	0.9649	NUM
cana-5249	170	10	0.7564	0.7564	NUM
cana-5249	170	11	25000	25000	NUM
cana-5249	170	12	0.964	0.964	NUM
cana-5249	170	13	0.7589	0.7589	NUM
cana-5249	170	14	table	table	NOUN
cana-5249	170	15	3	3	NUM
cana-5249	170	16	shows	show	VERB
cana-5249	170	17	recall	recall	NOUN
cana-5249	170	18	values	value	NOUN
cana-5249	170	19	of	of	ADP
cana-5249	170	20	network	network	NOUN
cana-5249	170	21	security	security	NOUN
cana-5249	170	22	alarming	alarming	ADJ
cana-5249	170	23	model	model	NOUN
cana-5249	170	24	for	for	ADP
cana-5249	170	25	different	different	ADJ
cana-5249	170	26	testing	testing	NOUN
cana-5249	170	27	datasets	dataset	NOUN
cana-5249	170	28	.	.	PUNCT
cana-5249	171	1	it	it	PRON
cana-5249	171	2	was	be	AUX
cana-5249	171	3	found	find	VERB
cana-5249	171	4	that	that	SCONJ
cana-5249	171	5	use	use	NOUN
cana-5249	171	6	of	of	ADP
cana-5249	171	7	non	non	ADJ
cana-5249	171	8	-	-	ADJ
cana-5249	171	9	negative	negative	ADJ
cana-5249	171	10	factor	factor	NOUN
cana-5249	171	11	matrix	matrix	NOUN
cana-5249	171	12	for	for	ADP
cana-5249	171	13	feature	feature	NOUN
cana-5249	171	14	transformation	transformation	NOUN
cana-5249	171	15	has	have	AUX
cana-5249	171	16	increases	increase	VERB
cana-5249	171	17	the	the	DET
cana-5249	171	18	detection	detection	NOUN
cana-5249	171	19	communications	communication	NOUN
cana-5249	171	20	on	on	ADP
cana-5249	171	21	applied	apply	VERB
cana-5249	171	22	nonlinear	nonlinear	ADJ
cana-5249	171	23	analysis	analysis	NOUN
cana-5249	171	24	issn	issn	NOUN
cana-5249	171	25	:	:	PUNCT
cana-5249	171	26	1074	1074	NUM
cana-5249	171	27	-	-	PUNCT
cana-5249	171	28	133x	133x	NUM
cana-5249	171	29	vol	vol	NOUN
cana-5249	171	30	31	31	NUM
cana-5249	171	31	no	no	NOUN
cana-5249	171	32	.	.	PUNCT
cana-5249	172	1	8s	8s	PROPN
cana-5249	172	2	(	(	PUNCT
cana-5249	172	3	2024	2024	NUM
cana-5249	172	4	)	)	PUNCT
cana-5249	172	5	931	931	NUM
cana-5249	172	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	172	7	class	class	NOUN
cana-5249	172	8	of	of	ADP
cana-5249	172	9	ensemble	ensemble	ADJ
cana-5249	172	10	model	model	NOUN
cana-5249	172	11	.	.	PUNCT
cana-5249	173	1	it	it	PRON
cana-5249	173	2	was	be	AUX
cana-5249	173	3	found	find	VERB
cana-5249	173	4	that	that	SCONJ
cana-5249	173	5	mtofns	mtofns	NOUN
cana-5249	173	6	has	have	AUX
cana-5249	173	7	increases	increase	VERB
cana-5249	173	8	the	the	DET
cana-5249	173	9	recall	recall	NOUN
cana-5249	173	10	value	value	NOUN
cana-5249	173	11	18.64	18.64	NUM
cana-5249	173	12	%	%	NOUN
cana-5249	173	13	as	as	ADP
cana-5249	173	14	compared	compare	VERB
cana-5249	173	15	to	to	ADP
cana-5249	173	16	dcnn	dcnn	PROPN
cana-5249	174	1	[	[	X
cana-5249	174	2	12	12	NUM
cana-5249	174	3	]	]	PUNCT
cana-5249	174	4	.	.	PUNCT
cana-5249	175	1	table	table	NOUN
cana-5249	175	2	4	4	NUM
cana-5249	175	3	network	network	NOUN
cana-5249	175	4	security	security	NOUN
cana-5249	175	5	alarm	alarm	NOUN
cana-5249	175	6	models	model	VERB
cana-5249	175	7	comparison	comparison	NOUN
cana-5249	175	8	on	on	ADP
cana-5249	175	9	the	the	DET
cana-5249	175	10	basis	basis	NOUN
cana-5249	175	11	of	of	ADP
cana-5249	175	12	f	f	NOUN
cana-5249	175	13	-	-	PUNCT
cana-5249	175	14	measure	measure	NOUN
cana-5249	175	15	values	value	NOUN
cana-5249	175	16	.	.	PUNCT
cana-5249	176	1	testing	test	VERB
cana-5249	176	2	dataset	dataset	VERB
cana-5249	176	3	mtofns	mtofns	PROPN
cana-5249	176	4	previous	previous	ADJ
cana-5249	176	5	model	model	NOUN
cana-5249	176	6	5000	5000	NUM
cana-5249	176	7	0.9662	0.9662	NUM
cana-5249	176	8	0.8359	0.8359	NUM
cana-5249	176	9	10000	10000	NUM
cana-5249	176	10	0.9681	0.9681	NUM
cana-5249	176	11	0.7923	0.7923	NUM
cana-5249	176	12	15000	15000	NUM
cana-5249	176	13	0.9681	0.9681	NUM
cana-5249	176	14	0.7746	0.7746	NUM
cana-5249	176	15	20000	20000	NUM
cana-5249	176	16	0.9669	0.9669	NUM
cana-5249	176	17	0.7574	0.7574	NUM
cana-5249	176	18	25000	25000	NUM
cana-5249	176	19	0.9663	0.9663	NUM
cana-5249	176	20	0.7568	0.7568	NUM
cana-5249	176	21	f	f	X
cana-5249	176	22	-	-	PUNCT
cana-5249	176	23	measure	measure	NOUN
cana-5249	176	24	values	value	NOUN
cana-5249	176	25	of	of	ADP
cana-5249	176	26	network	network	NOUN
cana-5249	176	27	security	security	NOUN
cana-5249	176	28	alarm	alarm	NOUN
cana-5249	176	29	models	model	NOUN
cana-5249	176	30	shown	show	VERB
cana-5249	176	31	in	in	ADP
cana-5249	176	32	table	table	NOUN
cana-5249	176	33	4	4	NUM
cana-5249	176	34	for	for	ADP
cana-5249	176	35	different	different	ADJ
cana-5249	176	36	dataset	dataset	NOUN
cana-5249	176	37	size	size	NOUN
cana-5249	176	38	.	.	PUNCT
cana-5249	177	1	it	it	PRON
cana-5249	177	2	was	be	AUX
cana-5249	177	3	found	find	VERB
cana-5249	177	4	that	that	SCONJ
cana-5249	177	5	use	use	NOUN
cana-5249	177	6	of	of	ADP
cana-5249	177	7	teacher	teacher	NOUN
cana-5249	177	8	learning	learn	VERB
cana-5249	177	9	and	and	CCONJ
cana-5249	177	10	non	non	ADJ
cana-5249	177	11	-	-	ADJ
cana-5249	177	12	negative	negative	ADJ
cana-5249	177	13	factor	factor	NOUN
cana-5249	177	14	matrix	matrix	NOUN
cana-5249	177	15	has	have	AUX
cana-5249	177	16	improved	improve	VERB
cana-5249	177	17	the	the	DET
cana-5249	177	18	input	input	NOUN
cana-5249	177	19	features	feature	VERB
cana-5249	177	20	learning	learn	VERB
cana-5249	177	21	matrix	matrix	NOUN
cana-5249	177	22	.	.	PUNCT
cana-5249	178	1	further	far	ADV
cana-5249	178	2	it	it	PRON
cana-5249	178	3	was	be	AUX
cana-5249	178	4	found	find	VERB
cana-5249	178	5	that	that	SCONJ
cana-5249	178	6	use	use	NOUN
cana-5249	178	7	of	of	ADP
cana-5249	178	8	feature	feature	NOUN
cana-5249	178	9	optimization	optimization	NOUN
cana-5249	178	10	model	model	NOUN
cana-5249	178	11	has	have	AUX
cana-5249	178	12	increases	increase	VERB
cana-5249	178	13	the	the	DET
cana-5249	178	14	f	f	NUM
cana-5249	178	15	-	-	PUNCT
cana-5249	178	16	measure	measure	NOUN
cana-5249	178	17	values	value	NOUN
cana-5249	178	18	by	by	ADP
cana-5249	178	19	18.99	18.99	NUM
cana-5249	178	20	%	%	NOUN
cana-5249	178	21	.	.	PUNCT
cana-5249	179	1	detection	detection	NOUN
cana-5249	179	2	of	of	ADP
cana-5249	179	3	attack	attack	NOUN
cana-5249	179	4	clas	cla	NOUN
cana-5249	179	5	if	if	SCONJ
cana-5249	179	6	almost	almost	ADV
cana-5249	179	7	same	same	ADJ
cana-5249	179	8	in	in	ADP
cana-5249	179	9	all	all	DET
cana-5249	179	10	set	set	NOUN
cana-5249	179	11	of	of	ADP
cana-5249	179	12	experimental	experimental	ADJ
cana-5249	179	13	datasets	dataset	NOUN
cana-5249	179	14	.	.	PUNCT
cana-5249	180	1	table	table	NOUN
cana-5249	180	2	5	5	NUM
cana-5249	180	3	network	network	NOUN
cana-5249	180	4	security	security	NOUN
cana-5249	180	5	alarm	alarm	NOUN
cana-5249	180	6	models	model	VERB
cana-5249	180	7	comparison	comparison	NOUN
cana-5249	180	8	on	on	ADP
cana-5249	180	9	the	the	DET
cana-5249	180	10	basis	basis	NOUN
cana-5249	180	11	of	of	ADP
cana-5249	180	12	accuracy	accuracy	NOUN
cana-5249	180	13	values	value	NOUN
cana-5249	180	14	.	.	PUNCT
cana-5249	181	1	testing	test	VERB
cana-5249	181	2	dataset	dataset	VERB
cana-5249	181	3	mtofns	mtofns	PROPN
cana-5249	181	4	previous	previous	ADJ
cana-5249	181	5	model	model	NOUN
cana-5249	181	6	5000	5000	NUM
cana-5249	181	7	96.7145	96.7145	NUM
cana-5249	181	8	82.5369	82.5369	NUM
cana-5249	181	9	10000	10000	NUM
cana-5249	181	10	96.9016	96.9016	NUM
cana-5249	181	11	80.824	80.824	NUM
cana-5249	181	12	15000	15000	NUM
cana-5249	181	13	96.8856	96.8856	NUM
cana-5249	181	14	76.0467	76.0467	NUM
cana-5249	181	15	20000	20000	NUM
cana-5249	181	16	96.8861	96.8861	NUM
cana-5249	181	17	75.8373	75.8373	NUM
cana-5249	181	18	25000	25000	NUM
cana-5249	181	19	96.8610	96.8610	NUM
cana-5249	181	20	75.4605	75.4605	NUM
cana-5249	181	21	session	session	NOUN
cana-5249	181	22	attack	attack	NOUN
cana-5249	181	23	detection	detection	NOUN
cana-5249	181	24	accuracy	accuracy	NOUN
cana-5249	181	25	values	value	NOUN
cana-5249	181	26	were	be	AUX
cana-5249	181	27	shown	show	VERB
cana-5249	181	28	in	in	ADP
cana-5249	181	29	table	table	NOUN
cana-5249	181	30	5	5	NUM
cana-5249	181	31	.	.	PUNCT
cana-5249	182	1	it	it	PRON
cana-5249	182	2	was	be	AUX
cana-5249	182	3	found	find	VERB
cana-5249	182	4	that	that	SCONJ
cana-5249	182	5	proposed	propose	VERB
cana-5249	182	6	mtofns	mtofns	NOUN
cana-5249	182	7	has	have	AUX
cana-5249	182	8	improved	improve	VERB
cana-5249	182	9	the	the	DET
cana-5249	182	10	detection	detection	NOUN
cana-5249	182	11	accuracy	accuracy	NOUN
cana-5249	182	12	of	of	ADP
cana-5249	182	13	each	each	DET
cana-5249	182	14	experimental	experimental	ADJ
cana-5249	182	15	dataset	dataset	NOUN
cana-5249	182	16	.	.	PUNCT
cana-5249	183	1	further	far	ADV
cana-5249	183	2	it	it	PRON
cana-5249	183	3	was	be	AUX
cana-5249	183	4	found	find	VERB
cana-5249	183	5	that	that	SCONJ
cana-5249	183	6	use	use	NOUN
cana-5249	183	7	of	of	ADP
cana-5249	183	8	genetic	genetic	ADJ
cana-5249	183	9	model	model	NOUN
cana-5249	183	10	for	for	ADP
cana-5249	183	11	feature	feature	NOUN
cana-5249	183	12	selection	selection	NOUN
cana-5249	183	13	with	with	ADP
cana-5249	183	14	non	non	ADJ
cana-5249	183	15	-	-	ADJ
cana-5249	183	16	negative	negative	ADJ
cana-5249	183	17	factor	factor	NOUN
cana-5249	183	18	has	have	AUX
cana-5249	183	19	successfully	successfully	ADV
cana-5249	183	20	increased	increase	VERB
cana-5249	183	21	the	the	DET
cana-5249	183	22	work	work	NOUN
cana-5249	183	23	ensemble	ensemble	ADJ
cana-5249	183	24	model	model	NOUN
cana-5249	183	25	learning	learning	NOUN
cana-5249	183	26	.	.	PUNCT
cana-5249	184	1	combination	combination	NOUN
cana-5249	184	2	of	of	ADP
cana-5249	184	3	lstm	lstm	NOUN
cana-5249	184	4	model	model	NOUN
cana-5249	184	5	with	with	ADP
cana-5249	184	6	neural	neural	ADJ
cana-5249	184	7	network	network	NOUN
cana-5249	184	8	in	in	ADP
cana-5249	184	9	proposed	propose	VERB
cana-5249	184	10	work	work	NOUN
cana-5249	184	11	has	have	AUX
cana-5249	184	12	increases	increase	VERB
cana-5249	184	13	the	the	DET
cana-5249	184	14	detection	detection	NOUN
cana-5249	184	15	accuracy	accuracy	NOUN
cana-5249	184	16	value	value	NOUN
cana-5249	184	17	by	by	ADP
cana-5249	184	18	19.317	19.317	NUM
cana-5249	184	19	%	%	NOUN
cana-5249	184	20	as	as	ADP
cana-5249	184	21	compared	compare	VERB
cana-5249	184	22	to	to	ADP
cana-5249	184	23	dcnn	dcnn	PROPN
cana-5249	184	24	model	model	PROPN
cana-5249	184	25	proposed	propose	VERB
cana-5249	184	26	in	in	ADP
cana-5249	184	27	[	[	X
cana-5249	184	28	12	12	NUM
cana-5249	184	29	]	]	PUNCT
cana-5249	184	30	.	.	PUNCT
cana-5249	185	1	communications	communication	NOUN
cana-5249	185	2	on	on	ADP
cana-5249	185	3	applied	apply	VERB
cana-5249	185	4	nonlinear	nonlinear	ADJ
cana-5249	185	5	analysis	analysis	NOUN
cana-5249	185	6	issn	issn	NOUN
cana-5249	185	7	:	:	PUNCT
cana-5249	185	8	1074	1074	NUM
cana-5249	185	9	-	-	PUNCT
cana-5249	185	10	133x	133x	NUM
cana-5249	185	11	vol	vol	NOUN
cana-5249	185	12	31	31	NUM
cana-5249	185	13	no	no	NOUN
cana-5249	185	14	.	.	PUNCT
cana-5249	186	1	8s	8s	PROPN
cana-5249	186	2	(	(	PUNCT
cana-5249	186	3	2024	2024	NUM
cana-5249	186	4	)	)	PUNCT
cana-5249	186	5	932	932	NUM
cana-5249	187	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	187	2	table	table	NOUN
cana-5249	187	3	6	6	NUM
cana-5249	187	4	network	network	NOUN
cana-5249	187	5	security	security	NOUN
cana-5249	187	6	alarm	alarm	NOUN
cana-5249	187	7	models	model	VERB
cana-5249	187	8	comparison	comparison	NOUN
cana-5249	187	9	on	on	ADP
cana-5249	187	10	the	the	DET
cana-5249	187	11	basis	basis	NOUN
cana-5249	187	12	of	of	ADP
cana-5249	187	13	dos	do	NOUN
cana-5249	187	14	attacks	attack	NOUN
cana-5249	187	15	detection	detection	NOUN
cana-5249	187	16	accuracy	accuracy	NOUN
cana-5249	187	17	values	value	NOUN
cana-5249	187	18	.	.	PUNCT
cana-5249	188	1	testing	test	VERB
cana-5249	188	2	dataset	dataset	VERB
cana-5249	188	3	mtofns	mtofns	PROPN
cana-5249	188	4	previous	previous	ADJ
cana-5249	188	5	model	model	NOUN
cana-5249	188	6	5000	5000	NUM
cana-5249	188	7	96.1580	96.1580	NUM
cana-5249	188	8	95.1508	95.1508	NUM
cana-5249	188	9	10000	10000	NUM
cana-5249	188	10	96.3249	96.3249	NUM
cana-5249	188	11	96.1681	96.1681	NUM
cana-5249	188	12	15000	15000	NUM
cana-5249	188	13	96.9274	96.9274	NUM
cana-5249	188	14	96.5217	96.5217	NUM
cana-5249	188	15	20000	20000	NUM
cana-5249	188	16	95.916	95.916	NUM
cana-5249	188	17	94.8133	94.8133	NUM
cana-5249	188	18	25000	25000	NUM
cana-5249	188	19	95.9061	95.9061	NUM
cana-5249	188	20	94.7383	94.7383	NUM
cana-5249	188	21	table	table	NOUN
cana-5249	188	22	7	7	NUM
cana-5249	188	23	network	network	NOUN
cana-5249	188	24	security	security	NOUN
cana-5249	188	25	alarm	alarm	NOUN
cana-5249	188	26	models	model	VERB
cana-5249	188	27	comparison	comparison	NOUN
cana-5249	188	28	on	on	ADP
cana-5249	188	29	the	the	DET
cana-5249	188	30	basis	basis	NOUN
cana-5249	188	31	of	of	ADP
cana-5249	188	32	probe	probe	NOUN
cana-5249	188	33	attacks	attack	NOUN
cana-5249	188	34	detection	detection	NOUN
cana-5249	188	35	accuracy	accuracy	NOUN
cana-5249	188	36	values	value	NOUN
cana-5249	188	37	.	.	PUNCT
cana-5249	189	1	testing	test	VERB
cana-5249	189	2	dataset	dataset	VERB
cana-5249	189	3	mtofns	mtofns	PROPN
cana-5249	189	4	previous	previous	ADJ
cana-5249	189	5	model	model	NOUN
cana-5249	189	6	5000	5000	NUM
cana-5249	189	7	85.0325	85.0325	NUM
cana-5249	189	8	82.0225	82.0225	NUM
cana-5249	189	9	10000	10000	NUM
cana-5249	189	10	85.226	85.226	NUM
cana-5249	189	11	87.3451	87.3451	NUM
cana-5249	189	12	15000	15000	NUM
cana-5249	189	13	85.0835	85.0835	NUM
cana-5249	189	14	85.0758	85.0758	NUM
cana-5249	189	15	20000	20000	NUM
cana-5249	189	16	84.9246	84.9246	NUM
cana-5249	189	17	82.2944	82.2944	NUM
cana-5249	189	18	25000	25000	NUM
cana-5249	189	19	84.5714	84.5714	NUM
cana-5249	189	20	83.7887	83.7887	NUM
cana-5249	189	21	table	table	NOUN
cana-5249	189	22	8	8	NUM
cana-5249	189	23	network	network	NOUN
cana-5249	189	24	security	security	NOUN
cana-5249	189	25	alarm	alarm	NOUN
cana-5249	189	26	models	model	VERB
cana-5249	189	27	comparison	comparison	NOUN
cana-5249	189	28	on	on	ADP
cana-5249	189	29	the	the	DET
cana-5249	189	30	basis	basis	NOUN
cana-5249	189	31	of	of	ADP
cana-5249	189	32	u2r	u2r	ADJ
cana-5249	189	33	attacks	attack	NOUN
cana-5249	189	34	detection	detection	NOUN
cana-5249	189	35	accuracy	accuracy	NOUN
cana-5249	189	36	values	value	NOUN
cana-5249	189	37	.	.	PUNCT
cana-5249	190	1	testing	test	VERB
cana-5249	190	2	dataset	dataset	VERB
cana-5249	190	3	mtofns	mtofns	PROPN
cana-5249	190	4	previous	previous	ADJ
cana-5249	190	5	model	model	NOUN
cana-5249	190	6	5000	5000	NUM
cana-5249	190	7	74.4186	74.4186	NUM
cana-5249	190	8	58.7226	58.7226	NUM
cana-5249	190	9	10000	10000	NUM
cana-5249	190	10	74.0741	74.0741	NUM
cana-5249	190	11	86.8732	86.8732	NUM
cana-5249	190	12	15000	15000	NUM
cana-5249	190	13	70.2479	70.2479	NUM
cana-5249	190	14	65.9454	65.9454	NUM
cana-5249	190	15	20000	20000	NUM
cana-5249	190	16	72.327	72.327	NUM
cana-5249	190	17	65.3231	65.3231	NUM
cana-5249	190	18	25000	25000	NUM
cana-5249	190	19	68.1159	68.1159	NUM
cana-5249	190	20	62.6749	62.6749	NUM
cana-5249	190	21	table	table	NOUN
cana-5249	190	22	6	6	NUM
cana-5249	190	23	,	,	PUNCT
cana-5249	190	24	7	7	NUM
cana-5249	190	25	and	and	CCONJ
cana-5249	190	26	8	8	NUM
cana-5249	190	27	shows	show	VERB
cana-5249	190	28	different	different	ADJ
cana-5249	190	29	attack	attack	NOUN
cana-5249	190	30	class	class	NOUN
cana-5249	190	31	detection	detection	NOUN
cana-5249	190	32	accuracy	accuracy	NOUN
cana-5249	190	33	values	value	NOUN
cana-5249	190	34	for	for	ADP
cana-5249	190	35	all	all	DET
cana-5249	190	36	set	set	NOUN
cana-5249	190	37	of	of	ADP
cana-5249	190	38	experiment	experiment	NOUN
cana-5249	190	39	.	.	PUNCT
cana-5249	191	1	result	result	PROPN
cana-5249	191	2	shows	show	VERB
cana-5249	191	3	that	that	SCONJ
cana-5249	191	4	attack	attack	NOUN
cana-5249	191	5	class	class	NOUN
cana-5249	191	6	detection	detection	NOUN
cana-5249	191	7	of	of	ADP
cana-5249	191	8	dos	do	NOUN
cana-5249	191	9	is	be	AUX
cana-5249	191	10	highly	highly	ADV
cana-5249	191	11	accurate	accurate	ADJ
cana-5249	191	12	but	but	CCONJ
cana-5249	191	13	probe	probe	VERB
cana-5249	191	14	and	and	CCONJ
cana-5249	191	15	u2r	u2r	NOUN
cana-5249	191	16	is	be	AUX
cana-5249	191	17	less	less	ADJ
cana-5249	191	18	.	.	PUNCT
cana-5249	192	1	model	model	NOUN
cana-5249	192	2	has	have	AUX
cana-5249	192	3	shown	show	VERB
cana-5249	192	4	that	that	SCONJ
cana-5249	192	5	proposed	propose	VERB
cana-5249	192	6	work	work	NOUN
cana-5249	192	7	has	have	AUX
cana-5249	192	8	increases	increase	VERB
cana-5249	192	9	the	the	DET
cana-5249	192	10	work	work	NOUN
cana-5249	192	11	attack	attack	NOUN
cana-5249	192	12	detection	detection	NOUN
cana-5249	192	13	average	average	ADJ
cana-5249	192	14	accuracy	accuracy	NOUN
cana-5249	192	15	value	value	NOUN
cana-5249	192	16	by	by	ADP
cana-5249	192	17	2.19	2.19	NUM
cana-5249	192	18	%	%	NOUN
cana-5249	192	19	as	as	ADP
cana-5249	192	20	compared	compare	VERB
cana-5249	192	21	to	to	ADP
cana-5249	192	22	dcnn	dcnn	PROPN
cana-5249	192	23	model	model	PROPN
cana-5249	192	24	.	.	PUNCT
cana-5249	193	1	communications	communication	NOUN
cana-5249	193	2	on	on	ADP
cana-5249	193	3	applied	apply	VERB
cana-5249	193	4	nonlinear	nonlinear	ADJ
cana-5249	193	5	analysis	analysis	NOUN
cana-5249	193	6	issn	issn	NOUN
cana-5249	193	7	:	:	PUNCT
cana-5249	193	8	1074	1074	NUM
cana-5249	193	9	-	-	PUNCT
cana-5249	193	10	133x	133x	NUM
cana-5249	193	11	vol	vol	NOUN
cana-5249	193	12	31	31	NUM
cana-5249	193	13	no	no	NOUN
cana-5249	193	14	.	.	PUNCT
cana-5249	194	1	8s	8s	PROPN
cana-5249	194	2	(	(	PUNCT
cana-5249	194	3	2024	2024	NUM
cana-5249	194	4	)	)	PUNCT
cana-5249	194	5	933	933	NUM
cana-5249	194	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-5249	194	7	iv	iv	NOUN
cana-5249	194	8	.	.	PUNCT
cana-5249	195	1	conclusion	conclusion	NOUN
cana-5249	195	2	network	network	NOUN
cana-5249	195	3	nodes	node	NOUN
cana-5249	195	4	operate	operate	VERB
cana-5249	195	5	with	with	ADP
cana-5249	195	6	limited	limited	ADJ
cana-5249	195	7	energy	energy	NOUN
cana-5249	195	8	,	,	PUNCT
cana-5249	195	9	making	make	VERB
cana-5249	195	10	them	they	PRON
cana-5249	195	11	vulnerable	vulnerable	ADJ
cana-5249	195	12	to	to	ADP
cana-5249	195	13	attacks	attack	NOUN
cana-5249	195	14	that	that	PRON
cana-5249	195	15	significantly	significantly	ADV
cana-5249	195	16	reduce	reduce	VERB
cana-5249	195	17	their	their	PRON
cana-5249	195	18	lifespan	lifespan	NOUN
cana-5249	195	19	.	.	PUNCT
cana-5249	196	1	these	these	DET
cana-5249	196	2	networks	network	NOUN
cana-5249	196	3	are	be	AUX
cana-5249	196	4	easily	easily	ADV
cana-5249	196	5	compromised	compromise	VERB
cana-5249	196	6	,	,	PUNCT
cana-5249	196	7	prompting	prompt	VERB
cana-5249	196	8	researchers	researcher	NOUN
cana-5249	196	9	to	to	PART
cana-5249	196	10	develop	develop	VERB
cana-5249	196	11	various	various	ADJ
cana-5249	196	12	security	security	NOUN
cana-5249	196	13	models	model	NOUN
cana-5249	196	14	.	.	PUNCT
cana-5249	197	1	however	however	ADV
cana-5249	197	2	,	,	PUNCT
cana-5249	197	3	many	many	ADJ
cana-5249	197	4	existing	exist	VERB
cana-5249	197	5	models	model	NOUN
cana-5249	197	6	fail	fail	VERB
cana-5249	197	7	to	to	PART
cana-5249	197	8	accurately	accurately	ADV
cana-5249	197	9	classify	classify	VERB
cana-5249	197	10	different	different	ADJ
cana-5249	197	11	types	type	NOUN
cana-5249	197	12	of	of	ADP
cana-5249	197	13	attacks	attack	NOUN
cana-5249	197	14	,	,	PUNCT
cana-5249	197	15	often	often	ADV
cana-5249	197	16	identifying	identify	VERB
cana-5249	197	17	only	only	ADV
cana-5249	197	18	whether	whether	SCONJ
cana-5249	197	19	an	an	DET
cana-5249	197	20	attack	attack	NOUN
cana-5249	197	21	occurred	occur	VERB
cana-5249	197	22	,	,	PUNCT
cana-5249	197	23	without	without	ADP
cana-5249	197	24	specifying	specify	VERB
cana-5249	197	25	its	its	PRON
cana-5249	197	26	nature	nature	NOUN
cana-5249	197	27	.	.	PUNCT
cana-5249	198	1	this	this	DET
cana-5249	198	2	paper	paper	NOUN
cana-5249	198	3	proposes	propose	VERB
cana-5249	198	4	an	an	DET
cana-5249	198	5	improved	improved	ADJ
cana-5249	198	6	intrusion	intrusion	NOUN
cana-5249	198	7	detection	detection	NOUN
cana-5249	198	8	model	model	NOUN
cana-5249	198	9	that	that	PRON
cana-5249	198	10	enhances	enhance	VERB
cana-5249	198	11	input	input	NOUN
cana-5249	198	12	data	datum	NOUN
cana-5249	198	13	using	use	VERB
cana-5249	198	14	a	a	DET
cana-5249	198	15	modified	modified	ADJ
cana-5249	198	16	teacher	teacher	NOUN
cana-5249	198	17	learning	learn	VERB
cana-5249	198	18	approach	approach	NOUN
cana-5249	198	19	.	.	PUNCT
cana-5249	199	1	the	the	DET
cana-5249	199	2	selected	select	VERB
cana-5249	199	3	features	feature	NOUN
cana-5249	199	4	are	be	AUX
cana-5249	199	5	further	far	ADV
cana-5249	199	6	processed	process	VERB
cana-5249	199	7	through	through	ADP
cana-5249	199	8	nonnegative	nonnegative	ADJ
cana-5249	199	9	matrix	matrix	NOUN
cana-5249	199	10	factorization	factorization	NOUN
cana-5249	199	11	(	(	PUNCT
cana-5249	199	12	nmf	nmf	NOUN
cana-5249	199	13	)	)	PUNCT
cana-5249	199	14	to	to	PART
cana-5249	199	15	extract	extract	VERB
cana-5249	199	16	relevant	relevant	ADJ
cana-5249	199	17	patterns	pattern	NOUN
cana-5249	199	18	.	.	PUNCT
cana-5249	200	1	these	these	DET
cana-5249	200	2	transformed	transform	VERB
cana-5249	200	3	patterns	pattern	NOUN
cana-5249	200	4	are	be	AUX
cana-5249	200	5	then	then	ADV
cana-5249	200	6	used	use	VERB
cana-5249	200	7	to	to	PART
cana-5249	200	8	train	train	VERB
cana-5249	200	9	an	an	DET
cana-5249	200	10	ensemble	ensemble	ADJ
cana-5249	200	11	model	model	NOUN
cana-5249	200	12	for	for	ADP
cana-5249	200	13	effective	effective	ADJ
cana-5249	200	14	classification	classification	NOUN
cana-5249	200	15	.	.	PUNCT
cana-5249	201	1	the	the	DET
cana-5249	201	2	proposed	propose	VERB
cana-5249	201	3	model	model	NOUN
cana-5249	201	4	addresses	address	VERB
cana-5249	201	5	several	several	ADJ
cana-5249	201	6	issues	issue	NOUN
cana-5249	201	7	:	:	PUNCT
cana-5249	201	8	the	the	DET
cana-5249	201	9	binary	binary	ADJ
cana-5249	201	10	classification	classification	NOUN
cana-5249	201	11	limitation	limitation	NOUN
cana-5249	201	12	of	of	ADP
cana-5249	201	13	existing	exist	VERB
cana-5249	201	14	methods	method	NOUN
cana-5249	201	15	,	,	PUNCT
cana-5249	201	16	the	the	DET
cana-5249	201	17	complexity	complexity	NOUN
cana-5249	201	18	and	and	CCONJ
cana-5249	201	19	time	time	NOUN
cana-5249	201	20	consumption	consumption	NOUN
cana-5249	201	21	of	of	ADP
cana-5249	201	22	calculations	calculation	NOUN
cana-5249	201	23	,	,	PUNCT
cana-5249	201	24	and	and	CCONJ
cana-5249	201	25	the	the	DET
cana-5249	201	26	need	need	NOUN
cana-5249	201	27	to	to	PART
cana-5249	201	28	improve	improve	VERB
cana-5249	201	29	true	true	ADJ
cana-5249	201	30	alarm	alarm	NOUN
cana-5249	201	31	rates	rate	NOUN
cana-5249	201	32	for	for	ADP
cana-5249	201	33	specific	specific	ADJ
cana-5249	201	34	intrusion	intrusion	NOUN
cana-5249	201	35	classes	class	NOUN
cana-5249	201	36	.	.	PUNCT
cana-5249	202	1	the	the	DET
cana-5249	202	2	mtofns	mtofns	PROPN
cana-5249	202	3	model	model	NOUN
cana-5249	202	4	includes	include	VERB
cana-5249	202	5	key	key	ADJ
cana-5249	202	6	stages	stage	NOUN
cana-5249	202	7	such	such	ADJ
cana-5249	202	8	as	as	ADP
cana-5249	202	9	preprocessing	preprocessing	NOUN
cana-5249	202	10	,	,	PUNCT
cana-5249	202	11	dimensionality	dimensionality	NOUN
cana-5249	202	12	reduction	reduction	NOUN
cana-5249	202	13	,	,	PUNCT
cana-5249	202	14	feature	feature	NOUN
cana-5249	202	15	transformation	transformation	NOUN
cana-5249	202	16	,	,	PUNCT
cana-5249	202	17	and	and	CCONJ
cana-5249	202	18	machine	machine	NOUN
cana-5249	202	19	learningbased	learningbase	VERB
cana-5249	202	20	training	training	NOUN
cana-5249	202	21	to	to	PART
cana-5249	202	22	optimize	optimize	VERB
cana-5249	202	23	security	security	NOUN
cana-5249	202	24	and	and	CCONJ
cana-5249	202	25	performance	performance	NOUN
cana-5249	202	26	.	.	PUNCT
cana-5249	203	1	references	reference	NOUN
cana-5249	203	2	[	[	X
cana-5249	203	3	1	1	NUM
cana-5249	203	4	]	]	PUNCT
cana-5249	203	5	sections	section	NOUN
cana-5249	203	6	figures	figure	NOUN
cana-5249	203	7	references	reference	NOUN
cana-5249	203	8	ashiku	ashiku	NOUN
cana-5249	203	9	,	,	PUNCT
cana-5249	203	10	l.	l.	PROPN
cana-5249	203	11	,	,	PUNCT
cana-5249	203	12	dagli	dagli	PROPN
cana-5249	203	13	,	,	PUNCT
cana-5249	203	14	c.	c.	PROPN
cana-5249	203	15	:	:	PUNCT
cana-5249	203	16	network	network	NOUN
cana-5249	203	17	intrusion	intrusion	NOUN
cana-5249	203	18	detection	detection	NOUN
cana-5249	203	19	system	system	NOUN
cana-5249	203	20	using	use	VERB
cana-5249	203	21	deep	deep	ADJ
cana-5249	203	22	learning	learning	NOUN
cana-5249	203	23	.	.	PUNCT
cana-5249	204	1	proc	proc	NOUN
cana-5249	204	2	.	.	PUNCT
cana-5249	205	1	comput	comput	NOUN
cana-5249	205	2	.	.	PUNCT
cana-5249	206	1	sci	sci	PROPN
cana-5249	206	2	.	.	PROPN
cana-5249	206	3	185	185	NUM
cana-5249	206	4	,	,	PUNCT
cana-5249	206	5	239–247	239–247	NUM
cana-5249	206	6	(	(	PUNCT
cana-5249	206	7	2021	2021	NUM
cana-5249	206	8	)	)	PUNCT
cana-5249	207	1	[	[	X
cana-5249	207	2	2	2	NUM
cana-5249	207	3	]	]	PUNCT
cana-5249	207	4	k.	k.	PROPN
cana-5249	207	5	haseeb	haseeb	PROPN
cana-5249	207	6	,	,	PUNCT
cana-5249	207	7	n.	n.	PROPN
cana-5249	207	8	islam	islam	PROPN
cana-5249	207	9	,	,	PUNCT
cana-5249	207	10	t.	t.	PROPN
cana-5249	207	11	saba	saba	PROPN
cana-5249	207	12	,	,	PUNCT
cana-5249	207	13	a.	a.	PROPN
cana-5249	207	14	rehman	rehman	PROPN
cana-5249	207	15	,	,	PUNCT
cana-5249	207	16	and	and	CCONJ
cana-5249	207	17	z.	z.	PROPN
cana-5249	207	18	mehmood	mehmood	PROPN
cana-5249	207	19	,	,	PUNCT
cana-5249	207	20	‘	'	PUNCT
cana-5249	207	21	‘	'	PUNCT
cana-5249	207	22	lsdar	lsdar	ADJ
cana-5249	207	23	:	:	PUNCT
cana-5249	207	24	a	a	DET
cana-5249	207	25	light	light	ADJ
cana-5249	207	26	-	-	PUNCT
cana-5249	207	27	weight	weight	NOUN
cana-5249	207	28	structure	structure	NOUN
cana-5249	207	29	based	base	VERB
cana-5249	207	30	data	data	NOUN
cana-5249	207	31	aggregation	aggregation	NOUN
cana-5249	207	32	routing	routing	NOUN
cana-5249	207	33	protocol	protocol	NOUN
cana-5249	207	34	with	with	ADP
cana-5249	207	35	secure	secure	ADJ
cana-5249	207	36	internet	internet	NOUN
cana-5249	207	37	of	of	ADP
cana-5249	207	38	things	thing	NOUN
cana-5249	207	39	integrated	integrate	VERB
cana-5249	207	40	nextgeneration	nextgeneration	NOUN
cana-5249	207	41	sensor	sensor	NOUN
cana-5249	207	42	networks	network	NOUN
cana-5249	207	43	,	,	PUNCT
cana-5249	207	44	’’	’'	PUNCT
cana-5249	207	45	sustain	sustain	VERB
cana-5249	207	46	.	.	PUNCT
cana-5249	208	1	cities	city	NOUN
cana-5249	208	2	soc	soc	PROPN
cana-5249	208	3	.	.	PUNCT
cana-5249	208	4	,	,	PUNCT
cana-5249	208	5	vol	vol	NOUN
cana-5249	208	6	.	.	PROPN
cana-5249	209	1	54	54	NUM
cana-5249	209	2	,	,	PUNCT
cana-5249	209	3	mar	mar	PROPN
cana-5249	209	4	.	.	PROPN
cana-5249	209	5	2020	2020	NUM
cana-5249	209	6	,	,	PUNCT
cana-5249	209	7	art	art	NOUN
cana-5249	209	8	.	.	PUNCT
cana-5249	210	1	no	no	INTJ
cana-5249	210	2	.	.	NOUN
cana-5249	211	1	101995	101995	NUM
cana-5249	211	2	.	.	PUNCT
cana-5249	212	1	[	[	X
cana-5249	212	2	3	3	X
cana-5249	212	3	]	]	X
cana-5249	212	4	r.	r.	PROPN
cana-5249	212	5	guetari	guetari	PROPN
cana-5249	212	6	,	,	PUNCT
cana-5249	212	7	h.	h.	PROPN
cana-5249	212	8	ayari	ayari	PROPN
cana-5249	212	9	,	,	PUNCT
cana-5249	212	10	and	and	CCONJ
cana-5249	212	11	h.	h.	PROPN
cana-5249	212	12	sakly	sakly	PROPN
cana-5249	212	13	,	,	PUNCT
cana-5249	212	14	‘	'	PUNCT
cana-5249	212	15	‘	'	PUNCT
cana-5249	212	16	computer	computer	NOUN
cana-5249	212	17	-	-	PUNCT
cana-5249	212	18	aided	aid	VERB
cana-5249	212	19	diagnosis	diagnosis	NOUN
cana-5249	212	20	systems	system	NOUN
cana-5249	212	21	:	:	PUNCT
cana-5249	212	22	a	a	DET
cana-5249	212	23	comparative	comparative	ADJ
cana-5249	212	24	study	study	NOUN
cana-5249	212	25	of	of	ADP
cana-5249	212	26	classical	classical	ADJ
cana-5249	212	27	machine	machine	NOUN
cana-5249	212	28	learning	learning	NOUN
cana-5249	212	29	versus	versus	ADP
cana-5249	212	30	deep	deep	ADJ
cana-5249	212	31	learningbased	learningbased	ADJ
cana-5249	212	32	approaches	approach	NOUN
cana-5249	212	33	,	,	PUNCT
cana-5249	212	34	’’	’'	PUNCT
cana-5249	212	35	knowl	knowl	NOUN
cana-5249	212	36	.	.	PUNCT
cana-5249	212	37	inf	inf	PROPN
cana-5249	212	38	.	.	PUNCT
cana-5249	212	39	syst	syst	PROPN
cana-5249	212	40	.	.	PUNCT
cana-5249	212	41	,	,	PUNCT
cana-5249	212	42	vol	vol	NOUN
cana-5249	212	43	.	.	PROPN
cana-5249	213	1	65	65	NUM
cana-5249	213	2	,	,	PUNCT
cana-5249	213	3	no	no	INTJ
cana-5249	213	4	.	.	NOUN
cana-5249	213	5	10	10	NUM
cana-5249	213	6	,	,	PUNCT
cana-5249	213	7	pp	pp	ADJ
cana-5249	213	8	.	.	PUNCT
cana-5249	214	1	3881–3921	3881–3921	NUM
cana-5249	214	2	,	,	PUNCT
cana-5249	214	3	oct	oct	PROPN
cana-5249	214	4	.	.	PROPN
cana-5249	214	5	2023	2023	NUM
cana-5249	214	6	.	.	PUNCT
cana-5249	215	1	[	[	X
cana-5249	215	2	4	4	NUM
cana-5249	215	3	]	]	X
cana-5249	215	4	r.	r.	PROPN
cana-5249	215	5	ramadan	ramadan	PROPN
cana-5249	215	6	and	and	CCONJ
cana-5249	215	7	k.	k.	PROPN
cana-5249	215	8	medhat	medhat	PROPN
cana-5249	215	9	,	,	PUNCT
cana-5249	215	10	‘	'	PUNCT
cana-5249	215	11	‘	'	PUNCT
cana-5249	215	12	intrusion	intrusion	NOUN
cana-5249	215	13	detection	detection	NOUN
cana-5249	215	14	based	base	VERB
cana-5249	215	15	learning	learn	VERB
cana-5249	215	16	in	in	ADP
cana-5249	215	17	wireless	wireless	ADJ
cana-5249	215	18	sensor	sensor	NOUN
cana-5249	215	19	networks	network	NOUN
cana-5249	215	20	,	,	PUNCT
cana-5249	215	21	’’	’'	PUNCT
cana-5249	215	22	ploms	plom	NOUN
cana-5249	215	23	ai	ai	VERB
cana-5249	215	24	,	,	PUNCT
cana-5249	215	25	vol	vol	NOUN
cana-5249	215	26	.	.	PROPN
cana-5249	216	1	2	2	NUM
cana-5249	216	2	,	,	PUNCT
cana-5249	216	3	no	no	INTJ
cana-5249	216	4	.	.	NOUN
cana-5249	216	5	1	1	NUM
cana-5249	216	6	,	,	PUNCT
cana-5249	216	7	pp	pp	ADJ
cana-5249	216	8	.	.	PUNCT
cana-5249	217	1	1–20	1–20	NUM
cana-5249	217	2	,	,	PUNCT
cana-5249	217	3	2022	2022	NUM
cana-5249	217	4	.	.	PUNCT
cana-5249	218	1	[	[	X
cana-5249	218	2	5	5	NUM
cana-5249	218	3	]	]	SYM
cana-5249	218	4	siddiqi	siddiqi	NOUN
cana-5249	218	5	,	,	PUNCT
cana-5249	218	6	m.a	m.a	PROPN
cana-5249	218	7	.	.	PROPN
cana-5249	218	8	,	,	PUNCT
cana-5249	218	9	pak	pak	PROPN
cana-5249	218	10	,	,	PUNCT
cana-5249	218	11	w.	w.	PROPN
cana-5249	218	12	:	:	PUNCT
cana-5249	218	13	optimizing	optimize	VERB
cana-5249	218	14	filter	filter	NOUN
cana-5249	218	15	-	-	PUNCT
cana-5249	218	16	based	base	VERB
cana-5249	218	17	feature	feature	NOUN
cana-5249	218	18	selection	selection	NOUN
cana-5249	218	19	method	method	NOUN
cana-5249	218	20	flow	flow	NOUN
cana-5249	218	21	for	for	ADP
cana-5249	218	22	intrusion	intrusion	NOUN
cana-5249	218	23	detection	detection	NOUN
cana-5249	218	24	system	system	NOUN
cana-5249	218	25	.	.	PUNCT
cana-5249	219	1	electronics	electronic	NOUN
cana-5249	219	2	9(12	9(12	NUM
cana-5249	219	3	)	)	PUNCT
cana-5249	219	4	,	,	PUNCT
cana-5249	219	5	2114	2114	NUM
cana-5249	219	6	(	(	PUNCT
cana-5249	219	7	2020	2020	NUM
cana-5249	219	8	)	)	PUNCT
cana-5249	220	1	[	[	X
cana-5249	220	2	6	6	NUM
cana-5249	220	3	]	]	PUNCT
cana-5249	220	4	shyla	shyla	NOUN
cana-5249	220	5	,	,	PUNCT
cana-5249	220	6	s.	s.	PROPN
cana-5249	220	7	,	,	PUNCT
cana-5249	220	8	bhatnagar	bhatnagar	PROPN
cana-5249	220	9	,	,	PUNCT
cana-5249	220	10	v.	v.	PROPN
cana-5249	220	11	,	,	PUNCT
cana-5249	220	12	bali	bali	PROPN
cana-5249	220	13	,	,	PUNCT
cana-5249	220	14	v.	v.	PROPN
cana-5249	220	15	,	,	PUNCT
cana-5249	220	16	bali	bali	PROPN
cana-5249	220	17	,	,	PUNCT
cana-5249	220	18	s.	s.	PROPN
cana-5249	220	19	:	:	PUNCT
cana-5249	220	20	optimization	optimization	NOUN
cana-5249	220	21	of	of	ADP
cana-5249	220	22	intrusion	intrusion	NOUN
cana-5249	220	23	detection	detection	NOUN
cana-5249	220	24	systems	system	NOUN
cana-5249	220	25	determined	determine	VERB
cana-5249	220	26	by	by	ADP
cana-5249	220	27	ameliorated	ameliorate	VERB
cana-5249	220	28	hnadam	hnadam	PROPN
cana-5249	220	29	-	-	PUNCT
cana-5249	220	30	sgd	sgd	NOUN
cana-5249	220	31	algorithm	algorithm	NOUN
cana-5249	220	32	.	.	PUNCT
cana-5249	221	1	electronics	electronic	NOUN
cana-5249	221	2	11(4	11(4	NUM
cana-5249	221	3	)	)	PUNCT
cana-5249	221	4	,	,	PUNCT
cana-5249	221	5	507	507	NUM
cana-5249	221	6	(	(	PUNCT
cana-5249	221	7	2022	2022	NUM
cana-5249	221	8	)	)	PUNCT
cana-5249	222	1	[	[	X
cana-5249	222	2	7	7	NUM
cana-5249	222	3	]	]	X
cana-5249	222	4	toldinas	toldina	NOUN
cana-5249	222	5	,	,	PUNCT
cana-5249	222	6	j.	j.	PROPN
cana-5249	222	7	,	,	PUNCT
cana-5249	222	8	venckauskas	venckauskas	PROPN
cana-5249	222	9	,	,	PUNCT
cana-5249	222	10	a.	a.	NOUN
cana-5249	222	11	,	,	PUNCT
cana-5249	222	12	damaevicius	damaevicius	PROPN
cana-5249	222	13	,	,	PUNCT
cana-5249	222	14	r.	r.	PROPN
cana-5249	222	15	,	,	PUNCT
cana-5249	222	16	grigaliunas	grigaliuna	NOUN
cana-5249	222	17	,	,	PUNCT
cana-5249	222	18	n.m	n.m	PROPN
cana-5249	222	19	.	.	PROPN
cana-5249	222	20	,	,	PUNCT
cana-5249	222	21	baranauskas	baranauskas	PROPN
cana-5249	222	22	,	,	PUNCT
cana-5249	222	23	e.	e.	PROPN
cana-5249	222	24	:	:	PUNCT
cana-5249	222	25	a	a	DET
cana-5249	222	26	novel	novel	ADJ
cana-5249	222	27	approach	approach	NOUN
cana-5249	222	28	for	for	ADP
cana-5249	222	29	network	network	NOUN
cana-5249	222	30	intrusion	intrusion	NOUN
cana-5249	222	31	detection	detection	NOUN
cana-5249	222	32	using	use	VERB
cana-5249	222	33	multistage	multistage	NOUN
cana-5249	222	34	deep	deep	ADJ
cana-5249	222	35	learning	learn	VERB
cana-5249	222	36	image	image	NOUN
cana-5249	222	37	recognition	recognition	NOUN
cana-5249	222	38	.	.	PUNCT
cana-5249	223	1	electronics	electronic	NOUN
cana-5249	223	2	10(15	10(15	NUM
cana-5249	223	3	)	)	PUNCT
cana-5249	223	4	,	,	PUNCT
cana-5249	223	5	1854	1854	NUM
cana-5249	223	6	(	(	PUNCT
cana-5249	223	7	2021	2021	NUM
cana-5249	223	8	)	)	PUNCT
cana-5249	224	1	[	[	X
cana-5249	224	2	8	8	NUM
cana-5249	224	3	]	]	PUNCT
cana-5249	224	4	md	md	PROPN
cana-5249	224	5	mahbubur	mahbubur	PROPN
cana-5249	224	6	rahman	rahman	PROPN
cana-5249	224	7	,	,	PUNCT
cana-5249	224	8	shaharia	shaharia	PROPN
cana-5249	224	9	al	al	PROPN
cana-5249	224	10	shakil	shakil	PROPN
cana-5249	224	11	,	,	PUNCT
cana-5249	224	12	mizanur	mizanur	NOUN
cana-5249	224	13	rahman	rahman	PROPN
cana-5249	224	14	mustakim	mustakim	PROPN
cana-5249	224	15	.	.	PUNCT
cana-5249	225	1	"	"	PUNCT
cana-5249	225	2	a	a	DET
cana-5249	225	3	survey	survey	NOUN
cana-5249	225	4	on	on	ADP
cana-5249	225	5	intrusion	intrusion	NOUN
cana-5249	225	6	detection	detection	NOUN
cana-5249	225	7	system	system	NOUN
cana-5249	225	8	in	in	ADP
cana-5249	225	9	iot	iot	PROPN
cana-5249	225	10	networks	network	NOUN
cana-5249	225	11	,	,	PUNCT
cana-5249	225	12	cyber	cyber	ADJ
cana-5249	225	13	security	security	NOUN
cana-5249	225	14	and	and	CCONJ
cana-5249	225	15	applications	application	NOUN
cana-5249	225	16	"	"	PUNCT
cana-5249	225	17	,	,	PUNCT
cana-5249	225	18	volume	volume	NOUN
cana-5249	225	19	3	3	NUM
cana-5249	225	20	,	,	PUNCT
cana-5249	225	21	2025	2025	NUM
cana-5249	225	22	.	.	PUNCT
cana-5249	226	1	[	[	X
cana-5249	226	2	9	9	NUM
cana-5249	226	3	]	]	SYM
cana-5249	226	4	boiko	boiko	NOUN
cana-5249	226	5	,	,	PUNCT
cana-5249	226	6	a.	a.	PROPN
cana-5249	226	7	&	&	CCONJ
cana-5249	226	8	shendryk	shendryk	PROPN
cana-5249	226	9	,	,	PUNCT
cana-5249	226	10	v.	v.	ADP
cana-5249	226	11	system	system	NOUN
cana-5249	226	12	integration	integration	NOUN
cana-5249	226	13	and	and	CCONJ
cana-5249	226	14	security	security	NOUN
cana-5249	226	15	of	of	ADP
cana-5249	226	16	information	information	NOUN
cana-5249	226	17	systems	system	NOUN
cana-5249	226	18	.	.	PUNCT
cana-5249	227	1	procedia	procedia	PROPN
cana-5249	227	2	computer	computer	PROPN
cana-5249	227	3	science	science	NOUN
cana-5249	227	4	104	104	NUM
cana-5249	227	5	,	,	PUNCT
cana-5249	227	6	35–42	35–42	NUM
cana-5249	227	7	(	(	PUNCT
cana-5249	227	8	2017	2017	NUM
cana-5249	227	9	)	)	PUNCT
cana-5249	227	10	.	.	PUNCT
cana-5249	228	1	communications	communication	NOUN
cana-5249	228	2	on	on	ADP
cana-5249	228	3	applied	apply	VERB
cana-5249	228	4	nonlinear	nonlinear	ADJ
cana-5249	228	5	analysis	analysis	NOUN
cana-5249	228	6	issn	issn	NOUN
cana-5249	228	7	:	:	PUNCT
cana-5249	228	8	1074	1074	NUM
cana-5249	228	9	-	-	PUNCT
cana-5249	228	10	133x	133x	NUM
cana-5249	228	11	vol	vol	NOUN
cana-5249	228	12	31	31	NUM
cana-5249	228	13	no	no	NOUN
cana-5249	228	14	.	.	PUNCT
cana-5249	229	1	8s	8s	PROPN
cana-5249	229	2	(	(	PUNCT
cana-5249	229	3	2024	2024	NUM
cana-5249	229	4	)	)	PUNCT
cana-5249	229	5	934	934	NUM
cana-5249	229	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5249	230	1	[	[	X
cana-5249	230	2	10	10	NUM
cana-5249	230	3	]	]	X
cana-5249	230	4	papamartzivanos	papamartzivanos	PROPN
cana-5249	230	5	d.	d.	PROPN
cana-5249	230	6	,	,	PUNCT
cana-5249	230	7	gomez	gomez	PROPN
cana-5249	230	8	marmol	marmol	PROPN
cana-5249	230	9	f.	f.	PROPN
cana-5249	230	10	,	,	PUNCT
cana-5249	230	11	and	and	CCONJ
cana-5249	230	12	kambourakis	kambourakis	PROPN
cana-5249	230	13	g.	g.	PROPN
cana-5249	230	14	,	,	PUNCT
cana-5249	230	15	introducing	introduce	VERB
cana-5249	230	16	deep	deep	ADJ
cana-5249	230	17	learning	learning	NOUN
cana-5249	230	18	selfadaptive	selfadaptive	PROPN
cana-5249	230	19	misuse	misuse	PROPN
cana-5249	230	20	network	network	PROPN
cana-5249	230	21	intrusion	intrusion	PROPN
cana-5249	230	22	detection	detection	NOUN
cana-5249	230	23	systems	system	NOUN
cana-5249	230	24	,	,	PUNCT
cana-5249	230	25	2019	2019	NUM
cana-5249	230	26	,	,	PUNCT
cana-5249	230	27	ieee	ieee	NOUN
cana-5249	230	28	access	access	NOUN
cana-5249	230	29	,	,	PUNCT
cana-5249	230	30	piscataway	piscataway	PROPN
cana-5249	230	31	,	,	PUNCT
cana-5249	230	32	nj	nj	PROPN
cana-5249	230	33	,	,	PUNCT
cana-5249	230	34	usa	usa	PROPN
cana-5249	230	35	.	.	PUNCT
cana-5249	231	1	[	[	X
cana-5249	231	2	11	11	NUM
cana-5249	231	3	]	]	X
cana-5249	231	4	r.	r.	PROPN
cana-5249	231	5	qaddoura	qaddoura	PROPN
cana-5249	231	6	,	,	PUNCT
cana-5249	231	7	a.	a.	PROPN
cana-5249	231	8	m.	m.	PROPN
cana-5249	231	9	al	al	PROPN
cana-5249	231	10	-	-	PROPN
cana-5249	231	11	zoubi	zoubi	PROPN
cana-5249	231	12	,	,	PUNCT
cana-5249	231	13	h.	h.	PROPN
cana-5249	231	14	faris	faris	PROPN
cana-5249	231	15	,	,	PUNCT
cana-5249	231	16	and	and	CCONJ
cana-5249	231	17	i.	i.	PROPN
cana-5249	231	18	almomani	almomani	PROPN
cana-5249	231	19	,	,	PUNCT
cana-5249	231	20	‘	'	PUNCT
cana-5249	231	21	‘	'	PUNCT
cana-5249	231	22	a	a	DET
cana-5249	231	23	multilayer	multilayer	ADJ
cana-5249	231	24	classification	classification	NOUN
cana-5249	231	25	approach	approach	NOUN
cana-5249	231	26	for	for	ADP
cana-5249	231	27	intrusion	intrusion	NOUN
cana-5249	231	28	detection	detection	NOUN
cana-5249	231	29	in	in	ADP
cana-5249	231	30	iot	iot	PROPN
cana-5249	231	31	networks	network	NOUN
cana-5249	231	32	based	base	VERB
cana-5249	231	33	on	on	ADP
cana-5249	231	34	deep	deep	ADJ
cana-5249	231	35	learning	learning	NOUN
cana-5249	231	36	,	,	PUNCT
cana-5249	231	37	’’	’'	PUNCT
cana-5249	231	38	sensors	sensor	NOUN
cana-5249	231	39	,	,	PUNCT
cana-5249	231	40	vol	vol	NOUN
cana-5249	231	41	.	.	PROPN
cana-5249	231	42	21	21	NUM
cana-5249	231	43	,	,	PUNCT
cana-5249	231	44	no	no	INTJ
cana-5249	231	45	.	.	NOUN
cana-5249	231	46	9	9	NUM
cana-5249	231	47	,	,	PUNCT
cana-5249	231	48	p.	p.	NOUN
cana-5249	231	49	2987	2987	NUM
cana-5249	231	50	,	,	PUNCT
cana-5249	231	51	apr	apr	NOUN
cana-5249	231	52	.	.	PROPN
cana-5249	231	53	2021	2021	NUM
cana-5249	231	54	.	.	PUNCT
cana-5249	232	1	[	[	X
cana-5249	232	2	12	12	NUM
cana-5249	232	3	]	]	X
cana-5249	232	4	c.	c.	PROPN
cana-5249	232	5	yao	yao	PROPN
cana-5249	232	6	,	,	PUNCT
cana-5249	232	7	y.	y.	PROPN
cana-5249	232	8	yang	yang	PROPN
cana-5249	232	9	,	,	PUNCT
cana-5249	232	10	k.	k.	PROPN
cana-5249	232	11	yin	yin	PROPN
cana-5249	232	12	,	,	PUNCT
cana-5249	232	13	and	and	CCONJ
cana-5249	232	14	j.	j.	PROPN
cana-5249	232	15	yang	yang	PROPN
cana-5249	232	16	,	,	PUNCT
cana-5249	232	17	‘	'	PUNCT
cana-5249	232	18	‘	'	PUNCT
cana-5249	232	19	traffic	traffic	NOUN
cana-5249	232	20	anomaly	anomaly	NOUN
cana-5249	232	21	detection	detection	NOUN
cana-5249	232	22	in	in	ADP
cana-5249	232	23	wireless	wireless	ADJ
cana-5249	232	24	sensor	sensor	NOUN
cana-5249	232	25	networks	network	NOUN
cana-5249	232	26	based	base	VERB
cana-5249	232	27	on	on	ADP
cana-5249	232	28	principal	principal	ADJ
cana-5249	232	29	component	component	NOUN
cana-5249	232	30	analysis	analysis	NOUN
cana-5249	232	31	and	and	CCONJ
cana-5249	232	32	deep	deep	ADJ
cana-5249	232	33	convolution	convolution	NOUN
cana-5249	232	34	neural	neural	ADJ
cana-5249	232	35	network	network	NOUN
cana-5249	232	36	,	,	PUNCT
cana-5249	232	37	’’	’'	PUNCT
cana-5249	232	38	ieee	ieee	NOUN
cana-5249	232	39	access	access	NOUN
cana-5249	232	40	,	,	PUNCT
cana-5249	232	41	vol	vol	NOUN
cana-5249	232	42	.	.	PROPN
cana-5249	232	43	10	10	NUM
cana-5249	232	44	,	,	PUNCT
cana-5249	232	45	pp	pp	ADJ
cana-5249	232	46	.	.	PUNCT
cana-5249	232	47	103136–103149	103136–103149	NUM
cana-5249	232	48	,	,	PUNCT
cana-5249	232	49	2022	2022	NUM
cana-5249	232	50	.	.	PUNCT
cana-5249	233	1	[	[	X
cana-5249	233	2	13	13	NUM
cana-5249	233	3	]	]	X
cana-5249	233	4	g.	g.	PROPN
cana-5249	233	5	g.	g.	PROPN
cana-5249	233	6	gebremariam	gebremariam	PROPN
cana-5249	233	7	,	,	PUNCT
cana-5249	233	8	j.	j.	PROPN
cana-5249	233	9	panda	panda	PROPN
cana-5249	233	10	,	,	PUNCT
cana-5249	233	11	and	and	CCONJ
cana-5249	233	12	s.	s.	PROPN
cana-5249	233	13	indu	indu	NOUN
cana-5249	233	14	,	,	PUNCT
cana-5249	233	15	‘	'	PUNCT
cana-5249	233	16	‘	'	PUNCT
cana-5249	233	17	localization	localization	NOUN
cana-5249	233	18	and	and	CCONJ
cana-5249	233	19	detection	detection	NOUN
cana-5249	233	20	of	of	ADP
cana-5249	233	21	multiple	multiple	ADJ
cana-5249	233	22	attacks	attack	NOUN
cana-5249	233	23	in	in	ADP
cana-5249	233	24	wireless	wireless	ADJ
cana-5249	233	25	sensor	sensor	NOUN
cana-5249	233	26	networks	network	NOUN
cana-5249	233	27	using	use	VERB
cana-5249	233	28	artificial	artificial	ADJ
cana-5249	233	29	neural	neural	ADJ
cana-5249	233	30	network	network	NOUN
cana-5249	233	31	,	,	PUNCT
cana-5249	233	32	’’	’'	PUNCT
cana-5249	233	33	wireless	wireless	ADJ
cana-5249	233	34	commun	commun	PROPN
cana-5249	233	35	.	.	PUNCT
cana-5249	234	1	mobile	mobile	ADJ
cana-5249	234	2	comput	comput	NOUN
cana-5249	234	3	.	.	PUNCT
cana-5249	234	4	,	,	PUNCT
cana-5249	234	5	vol	vol	NOUN
cana-5249	234	6	.	.	PUNCT
cana-5249	234	7	2023	2023	NUM
cana-5249	234	8	,	,	PUNCT
cana-5249	234	9	pp	pp	ADV
cana-5249	234	10	.	.	PUNCT
cana-5249	235	1	1–29	1–29	PROPN
cana-5249	235	2	,	,	PUNCT
cana-5249	235	3	jan	jan	PROPN
cana-5249	235	4	.	.	PROPN
cana-5249	235	5	2023	2023	NUM
cana-5249	235	6	.	.	PUNCT
cana-5249	236	1	[	[	X
cana-5249	236	2	14	14	NUM
cana-5249	236	3	]	]	X
cana-5249	236	4	tieming	tieme	VERB
cana-5249	236	5	chen	chen	PROPN
cana-5249	236	6	,	,	PUNCT
cana-5249	236	7	xuebo	xuebo	PROPN
cana-5249	236	8	qiu	qiu	PROPN
cana-5249	236	9	,	,	PUNCT
cana-5249	236	10	zhengqiu	zhengqiu	PROPN
cana-5249	236	11	weng	weng	PROPN
cana-5249	236	12	,	,	PUNCT
cana-5249	236	13	tiantian	tiantian	PROPN
cana-5249	236	14	zhu	zhu	PROPN
cana-5249	236	15	,	,	PUNCT
cana-5249	236	16	mingqi	mingqi	VERB
cana-5249	236	17	lv	lv	PROPN
cana-5249	236	18	,	,	PUNCT
cana-5249	236	19	keda	keda	PROPN
cana-5249	236	20	sun	sun	PROPN
cana-5249	236	21	.	.	PUNCT
cana-5249	237	1	"	"	PUNCT
cana-5249	237	2	security	security	NOUN
cana-5249	237	3	and	and	CCONJ
cana-5249	237	4	communication	communication	NOUN
cana-5249	237	5	networks	network	NOUN
cana-5249	237	6	research	research	NOUN
cana-5249	237	7	article	article	NOUN
cana-5249	237	8	open	open	VERB
cana-5249	237	9	access	access	NOUN
cana-5249	237	10	httpsmell	httpsmell	ADJ
cana-5249	237	11	:	:	PUNCT
cana-5249	237	12	a	a	DET
cana-5249	237	13	deep	deep	ADJ
cana-5249	237	14	learning	learning	NOUN
cana-5249	237	15	approach	approach	NOUN
cana-5249	237	16	on	on	ADP
cana-5249	237	17	malicious	malicious	ADJ
cana-5249	237	18	http	http	NOUN
cana-5249	237	19	traffic	traffic	NOUN
cana-5249	237	20	detection	detection	NOUN
cana-5249	237	21	via	via	ADP
cana-5249	237	22	data	datum	NOUN
cana-5249	237	23	augmentation	augmentation	NOUN
cana-5249	237	24	and	and	CCONJ
cana-5249	237	25	label	label	NOUN
cana-5249	237	26	refactoring	refactoring	NOUN
cana-5249	237	27	"	"	PUNCT
cana-5249	237	28	.	.	PUNCT
cana-5249	238	1	06	06	NUM
cana-5249	238	2	november	november	PROPN
cana-5249	238	3	2024	2024	NUM
cana-5249	238	4	.	.	PUNCT
cana-5249	239	1	[	[	X
cana-5249	239	2	15	15	NUM
cana-5249	239	3	]	]	PUNCT
cana-5249	239	4	dash	dash	NOUN
cana-5249	239	5	,	,	PUNCT
cana-5249	239	6	n.	n.	NOUN
cana-5249	239	7	,	,	PUNCT
cana-5249	239	8	chakravarty	chakravarty	NOUN
cana-5249	239	9	,	,	PUNCT
cana-5249	239	10	s.	s.	PROPN
cana-5249	239	11	,	,	PUNCT
cana-5249	239	12	rath	rath	PROPN
cana-5249	239	13	,	,	PUNCT
cana-5249	239	14	a.k	a.k	PROPN
cana-5249	239	15	.	.	PROPN
cana-5249	239	16	et	et	PROPN
cana-5249	239	17	al	al	PROPN
cana-5249	239	18	.	.	PUNCT
cana-5249	240	1	an	an	DET
cana-5249	240	2	optimized	optimize	VERB
cana-5249	240	3	lstm	lstm	NOUN
cana-5249	240	4	-	-	PUNCT
cana-5249	240	5	based	base	VERB
cana-5249	240	6	deep	deep	ADJ
cana-5249	240	7	learning	learning	NOUN
cana-5249	240	8	model	model	NOUN
cana-5249	240	9	for	for	ADP
cana-5249	240	10	anomaly	anomaly	NOUN
cana-5249	240	11	network	network	NOUN
cana-5249	240	12	intrusion	intrusion	NOUN
cana-5249	240	13	detection	detection	NOUN
cana-5249	240	14	.	.	PUNCT
cana-5249	241	1	sci	sci	PROPN
cana-5249	241	2	rep	rep	PROPN
cana-5249	241	3	15	15	NUM
cana-5249	241	4	,	,	PUNCT
cana-5249	241	5	1554	1554	NUM
cana-5249	241	6	(	(	PUNCT
cana-5249	241	7	2025	2025	NUM
cana-5249	241	8	)	)	PUNCT
cana-5249	241	9	.	.	PUNCT
cana-5249	242	1	[	[	X
cana-5249	242	2	16	16	NUM
cana-5249	242	3	]	]	X
cana-5249	242	4	ramu	ramu	PROPN
cana-5249	242	5	,	,	PUNCT
cana-5249	242	6	c.	c.	PROPN
cana-5249	242	7	,	,	PUNCT
cana-5249	242	8	rao	rao	PROPN
cana-5249	242	9	,	,	PUNCT
cana-5249	242	10	t.s	t.s	PROPN
cana-5249	242	11	.	.	PROPN
cana-5249	242	12	&	&	CCONJ
cana-5249	242	13	rao	rao	PROPN
cana-5249	242	14	,	,	PUNCT
cana-5249	242	15	e.u.s	e.u.s	PROPN
cana-5249	242	16	.	.	PROPN
cana-5249	242	17	attack	attack	NOUN
cana-5249	242	18	classification	classification	NOUN
cana-5249	242	19	in	in	ADP
cana-5249	242	20	network	network	NOUN
cana-5249	242	21	intrusion	intrusion	NOUN
cana-5249	242	22	detection	detection	NOUN
cana-5249	242	23	system	system	NOUN
cana-5249	242	24	based	base	VERB
cana-5249	242	25	on	on	ADP
cana-5249	242	26	optimization	optimization	NOUN
cana-5249	242	27	strategy	strategy	NOUN
cana-5249	242	28	and	and	CCONJ
cana-5249	242	29	deep	deep	ADJ
cana-5249	242	30	learning	learning	NOUN
cana-5249	242	31	methodology	methodology	NOUN
cana-5249	242	32	.	.	PUNCT
cana-5249	243	1	multimed	multime	VERB
cana-5249	243	2	tools	tool	NOUN
cana-5249	243	3	appl	appl	NOUN
cana-5249	243	4	83	83	NUM
cana-5249	243	5	,	,	PUNCT
cana-5249	243	6	75533–75555	75533–75555	NUM
cana-5249	243	7	(	(	PUNCT
cana-5249	243	8	2024	2024	NUM
cana-5249	243	9	)	)	PUNCT
cana-5249	243	10	.	.	PUNCT
cana-5249	244	1	[	[	X
cana-5249	244	2	17	17	NUM
cana-5249	244	3	]	]	X
cana-5249	244	4	n.	n.	PROPN
cana-5249	244	5	moustafa	moustafa	PROPN
cana-5249	244	6	and	and	CCONJ
cana-5249	244	7	j.	j.	PROPN
cana-5249	244	8	slay	slay	PROPN
cana-5249	244	9	,	,	PUNCT
cana-5249	244	10	`	`	PUNCT
cana-5249	244	11	`	`	PUNCT
cana-5249	244	12	unsw	unsw	NOUN
cana-5249	244	13	-	-	PUNCT
cana-5249	244	14	nb15	nb15	PROPN
cana-5249	244	15	:	:	PUNCT
cana-5249	244	16	a	a	DET
cana-5249	244	17	comprehensive	comprehensive	ADJ
cana-5249	244	18	data	datum	NOUN
cana-5249	244	19	set	set	VERB
cana-5249	244	20	for	for	ADP
cana-5249	244	21	network	network	NOUN
cana-5249	244	22	intrusion	intrusion	NOUN
cana-5249	244	23	detection	detection	NOUN
cana-5249	244	24	systems	system	NOUN
cana-5249	244	25	(	(	PUNCT
cana-5249	244	26	unsw	unsw	NOUN
cana-5249	244	27	-	-	PUNCT
cana-5249	244	28	nb15	nb15	PROPN
cana-5249	244	29	network	network	NOUN
cana-5249	244	30	data	datum	NOUN
cana-5249	244	31	set	set	NOUN
cana-5249	244	32	)	)	PUNCT
cana-5249	244	33	,	,	PUNCT
cana-5249	244	34	''	''	PUNCT
cana-5249	244	35	in	in	ADP
cana-5249	244	36	proc	proc	NOUN
cana-5249	244	37	.	.	PUNCT
cana-5249	245	1	mil	mil	X
cana-5249	245	2	.	.	PUNCT
cana-5249	246	1	commun	commun	PROPN
cana-5249	246	2	.	.	PUNCT
cana-5249	247	1	inf	inf	PROPN
cana-5249	247	2	.	.	PUNCT
cana-5249	247	3	syst	syst	PROPN
cana-5249	247	4	.	.	PUNCT
cana-5249	247	5	conf	conf	PROPN
cana-5249	247	6	.	.	PUNCT
cana-5249	248	1	(	(	PUNCT
cana-5249	248	2	milcis	milcis	NOUN
cana-5249	248	3	)	)	PUNCT
cana-5249	248	4	,	,	PUNCT
cana-5249	248	5	nov	nov	PROPN
cana-5249	248	6	.	.	PROPN
cana-5249	248	7	2015	2015	NUM
cana-5249	248	8	,	,	PUNCT
cana-5249	248	9	pp	pp	ADJ
cana-5249	248	10	.	.	PUNCT
cana-5249	249	1	16	16	NUM
cana-5249	249	2	.	.	PUNCT
cana-5249	250	1	[	[	X
cana-5249	250	2	18	18	NUM
cana-5249	250	3	]	]	X
cana-5249	250	4	w.	w.	PROPN
cana-5249	250	5	li	li	PROPN
cana-5249	250	6	,	,	PUNCT
cana-5249	250	7	y.	y.	PROPN
cana-5249	250	8	fan	fan	PROPN
cana-5249	250	9	and	and	CCONJ
cana-5249	250	10	q.	q.	PROPN
cana-5249	250	11	xu	xu	PROPN
cana-5249	250	12	,	,	PUNCT
cana-5249	250	13	"	"	PUNCT
cana-5249	250	14	teaching	teach	VERB
cana-5249	250	15	-	-	PUNCT
cana-5249	250	16	learning	learning	NOUN
cana-5249	250	17	-	-	PUNCT
cana-5249	250	18	based	base	VERB
cana-5249	250	19	optimization	optimization	NOUN
cana-5249	250	20	enhanced	enhance	VERB
cana-5249	250	21	with	with	ADP
cana-5249	250	22	multiobjective	multiobjective	ADJ
cana-5249	250	23	sorting	sorting	NOUN
cana-5249	250	24	based	base	VERB
cana-5249	250	25	and	and	CCONJ
cana-5249	250	26	cooperative	cooperative	ADJ
cana-5249	250	27	learning	learning	NOUN
cana-5249	250	28	,	,	PUNCT
cana-5249	250	29	"	"	PUNCT
cana-5249	250	30	in	in	ADP
cana-5249	250	31	ieee	ieee	NOUN
cana-5249	250	32	access	access	NOUN
cana-5249	250	33	,	,	PUNCT
cana-5249	250	34	vol	vol	NOUN
cana-5249	250	35	.	.	PROPN
cana-5249	250	36	8	8	NUM
cana-5249	250	37	,	,	PUNCT
cana-5249	250	38	pp	pp	ADJ
cana-5249	250	39	.	.	PUNCT
cana-5249	250	40	65923	65923	NUM
cana-5249	250	41	-	-	SYM
cana-5249	250	42	65937	65937	NUM
cana-5249	250	43	,	,	PUNCT
cana-5249	250	44	2020	2020	NUM
cana-5249	250	45	[	[	X
cana-5249	250	46	19	19	NUM
cana-5249	250	47	]	]	SYM
cana-5249	250	48	wu	wu	PROPN
cana-5249	250	49	,	,	PUNCT
cana-5249	250	50	x.	x.	PROPN
cana-5249	250	51	;	;	PUNCT
cana-5249	251	1	li	li	PROPN
cana-5249	251	2	,	,	PUNCT
cana-5249	251	3	s.	s.	PROPN
cana-5249	251	4	;	;	PUNCT
cana-5249	251	5	wu	wu	PROPN
cana-5249	251	6	,	,	PUNCT
cana-5249	251	7	f.	f.	PROPN
cana-5249	251	8	;	;	PUNCT
cana-5249	251	9	jiang	jiang	PROPN
cana-5249	251	10	,	,	PUNCT
cana-5249	251	11	x.	x.	NOUN
cana-5249	251	12	teaching	teaching	NOUN
cana-5249	251	13	–	–	PUNCT
cana-5249	251	14	learning	learn	VERB
cana-5249	251	15	optimization	optimization	NOUN
cana-5249	251	16	algorithm	algorithm	NOUN
cana-5249	251	17	based	base	VERB
cana-5249	251	18	on	on	ADP
cana-5249	251	19	the	the	DET
cana-5249	251	20	cadre	cadre	NOUN
cana-5249	251	21	–	–	PUNCT
cana-5249	251	22	mass	mass	NOUN
cana-5249	251	23	relationship	relationship	NOUN
cana-5249	251	24	with	with	ADP
cana-5249	251	25	tutor	tutor	NOUN
cana-5249	251	26	mechanism	mechanism	NOUN
cana-5249	251	27	for	for	ADP
cana-5249	251	28	solving	solve	VERB
cana-5249	251	29	complex	complex	ADJ
cana-5249	251	30	optimization	optimization	NOUN
cana-5249	251	31	problems	problem	NOUN
cana-5249	251	32	.	.	PUNCT
cana-5249	252	1	biomimetics	biomimetic	NOUN
cana-5249	252	2	2023	2023	NUM
cana-5249	252	3	,	,	PUNCT
cana-5249	252	4	8	8	NUM
cana-5249	252	5	,	,	PUNCT
cana-5249	252	6	462	462	NUM
cana-5249	252	7	.	.	PUNCT
cana-5249	253	1	[	[	X
cana-5249	253	2	20	20	NUM
cana-5249	253	3	]	]	PUNCT
cana-5249	253	4	d.	d.	PROPN
cana-5249	253	5	p.	p.	PROPN
cana-5249	253	6	truong	truong	PROPN
cana-5249	253	7	,	,	PUNCT
cana-5249	253	8	e.	e.	PROPN
cana-5249	253	9	skau	skau	PROPN
cana-5249	253	10	,	,	PUNCT
cana-5249	253	11	d.	d.	PROPN
cana-5249	253	12	desantis	desantis	PROPN
cana-5249	253	13	and	and	CCONJ
cana-5249	253	14	b.	b.	PROPN
cana-5249	253	15	alexandrov	alexandrov	PROPN
cana-5249	253	16	,	,	PUNCT
cana-5249	253	17	"	"	PUNCT
cana-5249	253	18	boolean	boolean	ADJ
cana-5249	253	19	matrix	matrix	NOUN
cana-5249	253	20	factorization	factorization	NOUN
cana-5249	253	21	via	via	ADP
cana-5249	253	22	nonnegative	nonnegative	ADJ
cana-5249	253	23	auxiliary	auxiliary	ADJ
cana-5249	253	24	optimization	optimization	NOUN
cana-5249	253	25	,	,	PUNCT
cana-5249	253	26	"	"	PUNCT
cana-5249	253	27	in	in	ADP
cana-5249	253	28	ieee	ieee	NOUN
cana-5249	253	29	access	access	NOUN
cana-5249	253	30	,	,	PUNCT
cana-5249	253	31	vol	vol	NOUN
cana-5249	253	32	.	.	NOUN
cana-5249	253	33	9	9	NUM
cana-5249	253	34	,	,	PUNCT
cana-5249	253	35	pp	pp	ADJ
cana-5249	253	36	.	.	PUNCT
cana-5249	253	37	117169	117169	NUM
cana-5249	253	38	-	-	SYM
cana-5249	253	39	117177	117177	NUM
cana-5249	253	40	,	,	PUNCT
cana-5249	253	41	2021	2021	NUM
cana-5249	253	42	.	.	PUNCT
cana-5249	254	1	[	[	X
cana-5249	254	2	21	21	NUM
cana-5249	254	3	]	]	X
cana-5249	254	4	w.	w.	PROPN
cana-5249	254	5	zhu	zhu	PROPN
cana-5249	254	6	and	and	CCONJ
cana-5249	254	7	y.	y.	PROPN
cana-5249	254	8	yan	yan	PROPN
cana-5249	254	9	,	,	PUNCT
cana-5249	254	10	"	"	PUNCT
cana-5249	254	11	joint	joint	ADJ
cana-5249	254	12	linear	linear	ADJ
cana-5249	254	13	regression	regression	NOUN
cana-5249	254	14	and	and	CCONJ
cana-5249	254	15	nonnegative	nonnegative	ADJ
cana-5249	254	16	matrix	matrix	NOUN
cana-5249	254	17	factorization	factorization	NOUN
cana-5249	254	18	based	base	VERB
cana-5249	254	19	on	on	ADP
cana-5249	254	20	self	self	NOUN
cana-5249	254	21	-	-	PUNCT
cana-5249	254	22	organized	organize	VERB
cana-5249	254	23	graph	graph	NOUN
cana-5249	254	24	for	for	ADP
cana-5249	254	25	image	image	NOUN
cana-5249	254	26	clustering	clustering	NOUN
cana-5249	254	27	and	and	CCONJ
cana-5249	254	28	classification	classification	NOUN
cana-5249	254	29	,	,	PUNCT
cana-5249	254	30	"	"	PUNCT
cana-5249	254	31	in	in	ADP
cana-5249	254	32	ieee	ieee	NOUN
cana-5249	254	33	access	access	NOUN
cana-5249	254	34	,	,	PUNCT
cana-5249	254	35	vol	vol	NOUN
cana-5249	254	36	.	.	PROPN
cana-5249	254	37	6	6	NUM
cana-5249	254	38	,	,	PUNCT
cana-5249	254	39	pp	pp	ADJ
cana-5249	254	40	.	.	PUNCT
cana-5249	255	1	38820	38820	NUM
cana-5249	255	2	-	-	SYM
cana-5249	255	3	38834	38834	NUM
cana-5249	255	4	,	,	PUNCT
cana-5249	255	5	2018	2018	NUM
cana-5249	255	6	.	.	PUNCT
cana-5249	256	1	[	[	X
cana-5249	256	2	22	22	NUM
cana-5249	256	3	]	]	X
cana-5249	256	4	kuo	kuo	PROPN
cana-5249	256	5	,	,	PUNCT
cana-5249	256	6	c.-t	c.-t	PROPN
cana-5249	256	7	.	.	PUNCT
cana-5249	256	8	;	;	PUNCT
cana-5249	256	9	lin	lin	PROPN
cana-5249	256	10	,	,	PUNCT
cana-5249	256	11	j.-j	j.-j	PROPN
cana-5249	256	12	.	.	PROPN
cana-5249	256	13	;	;	PUNCT
cana-5249	256	14	jen	jen	PROPN
cana-5249	256	15	,	,	PUNCT
cana-5249	256	16	k.-k	k.-k	PROPN
cana-5249	256	17	.	.	PUNCT
cana-5249	256	18	;	;	PUNCT
cana-5249	256	19	hsu	hsu	PROPN
cana-5249	256	20	,	,	PUNCT
cana-5249	256	21	w.-l	w.-l	PROPN
cana-5249	256	22	.	.	PUNCT
cana-5249	256	23	;	;	PUNCT
cana-5249	256	24	wang	wang	PROPN
cana-5249	256	25	,	,	PUNCT
cana-5249	256	26	f.-c	f.-c	PROPN
cana-5249	256	27	.	.	PUNCT
cana-5249	256	28	;	;	PUNCT
cana-5249	256	29	tsao	tsao	NOUN
cana-5249	256	30	,	,	PUNCT
cana-5249	256	31	t.-c	t.-c	PROPN
cana-5249	256	32	.	.	PUNCT
cana-5249	256	33	;	;	PUNCT
cana-5249	256	34	yen	yen	NOUN
cana-5249	256	35	,	,	PUNCT
cana-5249	256	36	j.-y	j.-y	NOUN
cana-5249	256	37	.	.	PUNCT
cana-5249	257	1	human	human	ADJ
cana-5249	257	2	posture	posture	NOUN
cana-5249	257	3	transition	transition	NOUN
cana-5249	257	4	-	-	PUNCT
cana-5249	257	5	time	time	NOUN
cana-5249	257	6	detection	detection	NOUN
cana-5249	257	7	based	base	VERB
cana-5249	257	8	upon	upon	SCONJ
cana-5249	257	9	inertial	inertial	ADJ
cana-5249	257	10	measurement	measurement	NOUN
cana-5249	257	11	unit	unit	NOUN
cana-5249	257	12	and	and	CCONJ
cana-5249	257	13	long	long	ADJ
cana-5249	257	14	short	short	ADJ
cana-5249	257	15	-	-	PUNCT
cana-5249	257	16	term	term	NOUN
cana-5249	257	17	memory	memory	NOUN
cana-5249	257	18	neural	neural	ADJ
cana-5249	257	19	networks	network	NOUN
cana-5249	257	20	.	.	PUNCT
cana-5249	258	1	biomimetics	biomimetic	NOUN
cana-5249	258	2	2023	2023	NUM
cana-5249	258	3	,	,	PUNCT
cana-5249	258	4	8	8	NUM
cana-5249	258	5	,	,	PUNCT
cana-5249	258	6	471	471	NUM
cana-5249	258	7	.	.	PUNCT
cana-5249	259	1	[	[	X
cana-5249	259	2	23	23	NUM
cana-5249	259	3	]	]	X
cana-5249	259	4	https://github.com/defcom17/nsl_kdd/blob/master/original%20nsl%20kdd%20zip.zip	https://github.com/defcom17/nsl_kdd/blob/master/original%20nsl%20kdd%20zip.zip	PROPN
cana-5249	259	5	https://github.com/defcom17/nsl_kdd/blob/master/original%20nsl%20kdd%20zip.zip	https://github.com/defcom17/nsl_kdd/blob/master/original%20nsl%20kdd%20zip.zip	NOUN