id	sid	tid	token	lemma	pos
cana-3378	1	1	communications	communication	NOUN
cana-3378	1	2	on	on	ADP
cana-3378	1	3	applied	apply	VERB
cana-3378	1	4	nonlinear	nonlinear	ADJ
cana-3378	1	5	analysis	analysis	NOUN
cana-3378	1	6	issn	issn	NOUN
cana-3378	1	7	:	:	PUNCT
cana-3378	1	8	1074	1074	NUM
cana-3378	1	9	-	-	PUNCT
cana-3378	1	10	133x	133x	NUM
cana-3378	1	11	vol	vol	NOUN
cana-3378	1	12	32	32	NUM
cana-3378	1	13	no	no	NOUN
cana-3378	1	14	.	.	PUNCT
cana-3378	2	1	7s	7	NOUN
cana-3378	2	2	(	(	PUNCT
cana-3378	2	3	2025	2025	NUM
cana-3378	2	4	)	)	PUNCT
cana-3378	2	5	210	210	NUM
cana-3378	2	6	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-3378	2	7	applications	application	NOUN
cana-3378	2	8	of	of	ADP
cana-3378	2	9	discrete	discrete	ADJ
cana-3378	2	10	mathematics	mathematic	NOUN
cana-3378	2	11	in	in	ADP
cana-3378	2	12	computer	computer	NOUN
cana-3378	2	13	science	science	NOUN
cana-3378	2	14	:	:	PUNCT
cana-3378	2	15	algorithms	algorithm	NOUN
cana-3378	2	16	,	,	PUNCT
cana-3378	2	17	graph	graph	NOUN
cana-3378	2	18	theory	theory	NOUN
cana-3378	2	19	,	,	PUNCT
cana-3378	2	20	and	and	CCONJ
cana-3378	2	21	beyond	beyond	ADP
cana-3378	2	22	1r	1r	NUM
cana-3378	2	23	.	.	PUNCT
cana-3378	3	1	vinodhini	vinodhini	NOUN
cana-3378	3	2	,	,	PUNCT
cana-3378	3	3	2dr	2dr	ADJ
cana-3378	3	4	.	.	PUNCT
cana-3378	4	1	t.	t.	PROPN
cana-3378	4	2	n.	n.	PROPN
cana-3378	4	3	m.	m.	PROPN
cana-3378	4	4	malini	malini	PROPN
cana-3378	4	5	mai	mai	PROPN
cana-3378	4	6	,	,	PUNCT
cana-3378	4	7	3mahesh	3mahesh	PROPN
cana-3378	4	8	kale	kale	NOUN
cana-3378	4	9	,	,	PUNCT
cana-3378	4	10	4dr	4dr	NOUN
cana-3378	4	11	.	.	PUNCT
cana-3378	5	1	r.stella	r.stella	PROPN
cana-3378	5	2	maragatham	maragatham	PROPN
cana-3378	5	3	5k.mrudula	5k.mrudula	NUM
cana-3378	5	4	devi	devi	NOUN
cana-3378	5	5	,	,	PUNCT
cana-3378	5	6	6dr	6dr	ADJ
cana-3378	5	7	charudatta	charudatta	ADJ
cana-3378	5	8	dattatraya	dattatraya	PROPN
cana-3378	5	9	bele	bele	PROPN
cana-3378	5	10	,	,	PUNCT
cana-3378	5	11	7m.bala	7m.bala	NUM
cana-3378	5	12	prabhakar	prabhakar	NOUN
cana-3378	5	13	1department	1department	NUM
cana-3378	5	14	of	of	ADP
cana-3378	5	15	mathematics	mathematic	NOUN
cana-3378	5	16	,	,	PUNCT
cana-3378	5	17	saveetha	saveetha	PROPN
cana-3378	5	18	school	school	PROPN
cana-3378	5	19	of	of	ADP
cana-3378	5	20	engineering	engineering	NOUN
cana-3378	5	21	,	,	PUNCT
cana-3378	5	22	simats	simat	NOUN
cana-3378	5	23	,	,	PUNCT
cana-3378	5	24	tandalam	tandalam	PROPN
cana-3378	5	25	.	.	PUNCT
cana-3378	6	1	vinodhinir41034.sse@saveetha.com	vinodhinir41034.sse@saveetha.com	PROPN
cana-3378	6	2	2department	2department	NUM
cana-3378	6	3	of	of	ADP
cana-3378	6	4	mathematics	mathematic	NOUN
cana-3378	6	5	,	,	PUNCT
cana-3378	6	6	saveetha	saveetha	PROPN
cana-3378	6	7	school	school	PROPN
cana-3378	6	8	of	of	ADP
cana-3378	6	9	engineering	engineering	NOUN
cana-3378	6	10	,	,	PUNCT
cana-3378	6	11	simats	simat	NOUN
cana-3378	6	12	,	,	PUNCT
cana-3378	6	13	tandalam	tandalam	PROPN
cana-3378	6	14	.	.	PUNCT
cana-3378	7	1	malinimait.sse@saveetha.com	malinimait.sse@saveetha.com	PROPN
cana-3378	8	1	3department	3department	NUM
cana-3378	8	2	of	of	ADP
cana-3378	8	3	basic	basic	ADJ
cana-3378	8	4	sciences	science	NOUN
cana-3378	8	5	and	and	CCONJ
cana-3378	8	6	humanities	humanity	NOUN
cana-3378	8	7	,	,	PUNCT
cana-3378	8	8	mpstme	mpstme	PROPN
cana-3378	8	9	,	,	PUNCT
cana-3378	8	10	svkm	svkm	VERB
cana-3378	8	11	’s	’s	PART
cana-3378	8	12	nmims	nmim	NOUN
cana-3378	8	13	deemed	deem	VERB
cana-3378	8	14	to	to	PART
cana-3378	8	15	be	be	AUX
cana-3378	8	16	university	university	NOUN
cana-3378	8	17	,	,	PUNCT
cana-3378	8	18	mumbai	mumbai	PROPN
cana-3378	8	19	,	,	PUNCT
cana-3378	8	20	india	india	PROPN
cana-3378	8	21	.	.	PUNCT
cana-3378	9	1	mnk.maths@gmail.com	mnk.maths@gmail.com	PROPN
cana-3378	9	2	4department	4department	NUM
cana-3378	9	3	of	of	ADP
cana-3378	9	4	mathematics	mathematic	NOUN
cana-3378	9	5	,	,	PUNCT
cana-3378	9	6	saveetha	saveetha	PROPN
cana-3378	9	7	school	school	PROPN
cana-3378	9	8	of	of	ADP
cana-3378	9	9	engineering	engineering	NOUN
cana-3378	9	10	,	,	PUNCT
cana-3378	9	11	simats	simat	NOUN
cana-3378	9	12	,	,	PUNCT
cana-3378	9	13	tandalam	tandalam	PROPN
cana-3378	9	14	.	.	PUNCT
cana-3378	10	1	stellamaragathamr.sse@saveetha.com	stellamaragathamr.sse@saveetha.com	PROPN
cana-3378	10	2	5associate	5associate	NUM
cana-3378	10	3	professor	professor	NOUN
cana-3378	10	4	,	,	PUNCT
cana-3378	10	5	dept	dept	NOUN
cana-3378	10	6	of	of	ADP
cana-3378	10	7	chemistry	chemistry	NOUN
cana-3378	10	8	,	,	PUNCT
cana-3378	10	9	aditya	aditya	PROPN
cana-3378	10	10	university	university	PROPN
cana-3378	10	11	,	,	PUNCT
cana-3378	10	12	surampalem	surampalem	NOUN
cana-3378	10	13	,	,	PUNCT
cana-3378	10	14	india	india	PROPN
cana-3378	10	15	.	.	PUNCT
cana-3378	11	1	k.mruduladevi@aec.edu.in	k.mruduladevi@aec.edu.in	X
cana-3378	11	2	6associate	6associate	NUM
cana-3378	11	3	professor	professor	NOUN
cana-3378	11	4	,	,	PUNCT
cana-3378	11	5	department	department	NOUN
cana-3378	11	6	of	of	ADP
cana-3378	11	7	mathematics	mathematic	NOUN
cana-3378	11	8	,	,	PUNCT
cana-3378	11	9	shri	shri	PROPN
cana-3378	11	10	shivaji	shivaji	PROPN
cana-3378	11	11	college	college	PROPN
cana-3378	11	12	,	,	PUNCT
cana-3378	11	13	parbhani	parbhani	NOUN
cana-3378	11	14	(	(	PUNCT
cana-3378	11	15	ms	ms	NOUN
cana-3378	11	16	)	)	PUNCT
cana-3378	11	17	.	.	PUNCT
cana-3378	12	1	belecd@rediffmail.com	belecd@rediffmail.com	X
cana-3378	13	1	7associate	7associate	NUM
cana-3378	13	2	professor	professor	NOUN
cana-3378	13	3	,	,	PUNCT
cana-3378	13	4	department	department	NOUN
cana-3378	13	5	of	of	ADP
cana-3378	13	6	mathematics	mathematics	PROPN
cana-3378	13	7	,	,	PUNCT
cana-3378	13	8	aditya	aditya	PROPN
cana-3378	13	9	university	university	PROPN
cana-3378	13	10	,	,	PUNCT
cana-3378	13	11	surampalem	surampalem	NOUN
cana-3378	13	12	,	,	PUNCT
cana-3378	13	13	india	india	PROPN
cana-3378	13	14	.	.	PUNCT
cana-3378	14	1	balaprabhakar.mattaparthi@aec.edu.in	balaprabhakar.mattaparthi@aec.edu.in	PROPN
cana-3378	14	2	article	article	NOUN
cana-3378	14	3	history	history	NOUN
cana-3378	14	4	:	:	PUNCT
cana-3378	14	5	received	receive	VERB
cana-3378	14	6	:	:	PUNCT
cana-3378	14	7	24	24	NUM
cana-3378	14	8	-	-	SYM
cana-3378	14	9	10	10	NUM
cana-3378	14	10	-	-	PUNCT
cana-3378	14	11	2024	2024	NUM
cana-3378	14	12	revised	revise	VERB
cana-3378	14	13	:	:	PUNCT
cana-3378	14	14	07	07	NUM
cana-3378	14	15	-	-	SYM
cana-3378	14	16	11	11	NUM
cana-3378	14	17	-	-	PUNCT
cana-3378	14	18	2024	2024	NUM
cana-3378	14	19	accepted	accept	VERB
cana-3378	14	20	:	:	PUNCT
cana-3378	14	21	15	15	NUM
cana-3378	14	22	-	-	SYM
cana-3378	14	23	12	12	NUM
cana-3378	14	24	-	-	PUNCT
cana-3378	14	25	2024	2024	NUM
cana-3378	14	26	abstract	abstract	NOUN
cana-3378	14	27	:	:	PUNCT
cana-3378	14	28	discrete	discrete	ADJ
cana-3378	14	29	mathematics	mathematic	NOUN
cana-3378	14	30	has	have	VERB
cana-3378	14	31	a	a	DET
cana-3378	14	32	central	central	ADJ
cana-3378	14	33	importance	importance	NOUN
cana-3378	14	34	in	in	ADP
cana-3378	14	35	the	the	DET
cana-3378	14	36	fundamental	fundamental	ADJ
cana-3378	14	37	parts	part	NOUN
cana-3378	14	38	of	of	ADP
cana-3378	14	39	the	the	DET
cana-3378	14	40	theory	theory	NOUN
cana-3378	14	41	of	of	ADP
cana-3378	14	42	computers	computer	NOUN
cana-3378	14	43	.	.	PUNCT
cana-3378	15	1	from	from	ADP
cana-3378	15	2	the	the	DET
cana-3378	15	3	development	development	NOUN
cana-3378	15	4	of	of	ADP
cana-3378	15	5	powerful	powerful	ADJ
cana-3378	15	6	algorithms	algorithm	NOUN
cana-3378	15	7	to	to	PART
cana-3378	15	8	graph	graph	VERB
cana-3378	15	9	theory	theory	NOUN
cana-3378	15	10	and	and	CCONJ
cana-3378	15	11	optimization	optimization	NOUN
cana-3378	15	12	of	of	ADP
cana-3378	15	13	networks	network	NOUN
cana-3378	15	14	discrete	discrete	VERB
cana-3378	15	15	mathematics	mathematic	NOUN
cana-3378	15	16	plays	play	VERB
cana-3378	15	17	a	a	DET
cana-3378	15	18	role	role	NOUN
cana-3378	15	19	in	in	ADP
cana-3378	15	20	the	the	DET
cana-3378	15	21	analysis	analysis	NOUN
cana-3378	15	22	and	and	CCONJ
cana-3378	15	23	solution	solution	NOUN
cana-3378	15	24	of	of	ADP
cana-3378	15	25	computational	computational	ADJ
cana-3378	15	26	problems	problem	NOUN
cana-3378	15	27	.	.	PUNCT
cana-3378	16	1	this	this	DET
cana-3378	16	2	paper	paper	NOUN
cana-3378	16	3	aims	aim	VERB
cana-3378	16	4	to	to	PART
cana-3378	16	5	look	look	VERB
cana-3378	16	6	at	at	ADP
cana-3378	16	7	how	how	SCONJ
cana-3378	16	8	discrete	discrete	ADJ
cana-3378	16	9	mathematics	mathematic	NOUN
cana-3378	16	10	encompasses	encompass	VERB
cana-3378	16	11	algorithms	algorithm	NOUN
cana-3378	16	12	and	and	CCONJ
cana-3378	16	13	graph	graph	NOUN
cana-3378	16	14	theory	theory	NOUN
cana-3378	16	15	within	within	ADP
cana-3378	16	16	today	today	NOUN
cana-3378	16	17	’s	’s	PART
cana-3378	16	18	real	real	ADJ
cana-3378	16	19	-	-	PUNCT
cana-3378	16	20	world	world	NOUN
cana-3378	16	21	problems	problem	NOUN
cana-3378	16	22	.	.	PUNCT
cana-3378	17	1	as	as	ADP
cana-3378	17	2	such	such	ADJ
cana-3378	17	3	,	,	PUNCT
cana-3378	17	4	the	the	DET
cana-3378	17	5	study	study	NOUN
cana-3378	17	6	looks	look	VERB
cana-3378	17	7	at	at	ADP
cana-3378	17	8	how	how	SCONJ
cana-3378	17	9	the	the	DET
cana-3378	17	10	concept	concept	NOUN
cana-3378	17	11	of	of	ADP
cana-3378	17	12	calculus	calculus	NOUN
cana-3378	17	13	in	in	ADP
cana-3378	17	14	sets	set	NOUN
cana-3378	17	15	,	,	PUNCT
cana-3378	17	16	relations	relation	NOUN
cana-3378	17	17	,	,	PUNCT
cana-3378	17	18	combinatory	combinatory	NOUN
cana-3378	17	19	,	,	PUNCT
cana-3378	17	20	and	and	CCONJ
cana-3378	17	21	logic	logic	NOUN
cana-3378	17	22	as	as	ADP
cana-3378	17	23	fundamental	fundamental	ADJ
cana-3378	17	24	blocks	block	NOUN
cana-3378	17	25	towards	towards	ADP
cana-3378	17	26	algorithm	algorithm	NOUN
cana-3378	17	27	development	development	NOUN
cana-3378	17	28	or	or	CCONJ
cana-3378	17	29	optimization	optimization	NOUN
cana-3378	17	30	forms	form	VERB
cana-3378	17	31	the	the	DET
cana-3378	17	32	basis	basis	NOUN
cana-3378	17	33	for	for	ADP
cana-3378	17	34	growth	growth	NOUN
cana-3378	17	35	within	within	ADP
cana-3378	17	36	the	the	DET
cana-3378	17	37	field	field	NOUN
cana-3378	17	38	of	of	ADP
cana-3378	17	39	computer	computer	NOUN
cana-3378	17	40	science	science	NOUN
cana-3378	17	41	.	.	PUNCT
cana-3378	18	1	thus	thus	ADV
cana-3378	18	2	,	,	PUNCT
cana-3378	18	3	discussing	discuss	VERB
cana-3378	18	4	the	the	DET
cana-3378	18	5	recent	recent	ADJ
cana-3378	18	6	changes	change	NOUN
cana-3378	18	7	and	and	CCONJ
cana-3378	18	8	case	case	NOUN
cana-3378	18	9	studies	study	NOUN
cana-3378	18	10	the	the	DET
cana-3378	18	11	paper	paper	NOUN
cana-3378	18	12	demonstrates	demonstrate	VERB
cana-3378	18	13	that	that	SCONJ
cana-3378	18	14	discrete	discrete	ADJ
cana-3378	18	15	mathematics	mathematic	NOUN
cana-3378	18	16	is	be	AUX
cana-3378	18	17	indeed	indeed	ADV
cana-3378	18	18	a	a	DET
cana-3378	18	19	vital	vital	ADJ
cana-3378	18	20	domain	domain	NOUN
cana-3378	18	21	in	in	ADP
cana-3378	18	22	computational	computational	ADJ
cana-3378	18	23	research	research	NOUN
cana-3378	18	24	and	and	CCONJ
cana-3378	18	25	its	its	PRON
cana-3378	18	26	advancements	advancement	NOUN
cana-3378	18	27	’	'	PUNCT
cana-3378	18	28	applicability	applicability	NOUN
cana-3378	18	29	in	in	ADP
cana-3378	18	30	such	such	ADJ
cana-3378	18	31	areas	area	NOUN
cana-3378	18	32	of	of	ADP
cana-3378	18	33	study	study	NOUN
cana-3378	18	34	as	as	ADP
cana-3378	18	35	data	data	NOUN
cana-3378	18	36	structures	structure	NOUN
cana-3378	18	37	,	,	PUNCT
cana-3378	18	38	network	network	NOUN
cana-3378	18	39	analysis	analysis	NOUN
cana-3378	18	40	,	,	PUNCT
cana-3378	18	41	and	and	CCONJ
cana-3378	18	42	computational	computational	ADJ
cana-3378	18	43	complexity	complexity	NOUN
cana-3378	18	44	.	.	PUNCT
cana-3378	19	1	keywords	keyword	NOUN
cana-3378	19	2	:	:	PUNCT
cana-3378	19	3	discrete	discrete	ADJ
cana-3378	19	4	mathematics	mathematic	NOUN
cana-3378	19	5	,	,	PUNCT
cana-3378	19	6	algorithms	algorithm	NOUN
cana-3378	19	7	,	,	PUNCT
cana-3378	19	8	graph	graph	NOUN
cana-3378	19	9	theory	theory	NOUN
cana-3378	19	10	,	,	PUNCT
cana-3378	19	11	computational	computational	ADJ
cana-3378	19	12	complexity	complexity	NOUN
cana-3378	19	13	,	,	PUNCT
cana-3378	19	14	optimization	optimization	NOUN
cana-3378	19	15	,	,	PUNCT
cana-3378	19	16	data	datum	NOUN
cana-3378	19	17	structures	structure	NOUN
cana-3378	19	18	,	,	PUNCT
cana-3378	19	19	combinatorics	combinatoric	NOUN
cana-3378	19	20	,	,	PUNCT
cana-3378	19	21	network	network	NOUN
cana-3378	19	22	analysis	analysis	NOUN
cana-3378	19	23	,	,	PUNCT
cana-3378	19	24	logic	logic	NOUN
cana-3378	19	25	,	,	PUNCT
cana-3378	19	26	mathematical	mathematical	ADJ
cana-3378	19	27	foundations	foundation	NOUN
cana-3378	19	28	.	.	PUNCT
cana-3378	20	1	introduction	introduction	NOUN
cana-3378	20	2	discrete	discrete	ADJ
cana-3378	20	3	mathematics	mathematic	NOUN
cana-3378	20	4	is	be	AUX
cana-3378	20	5	according	accord	VERB
cana-3378	20	6	to	to	ADP
cana-3378	20	7	computer	computer	NOUN
cana-3378	20	8	science	science	NOUN
cana-3378	20	9	’s	’s	PART
cana-3378	20	10	base	base	NOUN
cana-3378	20	11	or	or	CCONJ
cana-3378	20	12	its	its	PRON
cana-3378	20	13	fundamental	fundamental	ADJ
cana-3378	20	14	since	since	SCONJ
cana-3378	20	15	it	it	PRON
cana-3378	20	16	offers	offer	VERB
cana-3378	20	17	a	a	DET
cana-3378	20	18	rigorous	rigorous	ADJ
cana-3378	20	19	framework	framework	NOUN
cana-3378	20	20	in	in	ADP
cana-3378	20	21	algorithms	algorithm	NOUN
cana-3378	20	22	,	,	PUNCT
cana-3378	20	23	computational	computational	ADJ
cana-3378	20	24	theory	theory	NOUN
cana-3378	20	25	,	,	PUNCT
cana-3378	20	26	and	and	CCONJ
cana-3378	20	27	problem	problem	NOUN
cana-3378	20	28	’s	’s	PART
cana-3378	20	29	approach	approach	NOUN
cana-3378	20	30	.	.	PUNCT
cana-3378	21	1	in	in	ADP
cana-3378	21	2	computer	computer	NOUN
cana-3378	21	3	science	science	NOUN
cana-3378	21	4	they	they	PRON
cana-3378	21	5	have	have	AUX
cana-3378	21	6	influenced	influence	VERB
cana-3378	21	7	principal	principal	ADJ
cana-3378	21	8	ideas	idea	NOUN
cana-3378	21	9	of	of	ADP
cana-3378	21	10	important	important	ADJ
cana-3378	21	11	topics	topic	NOUN
cana-3378	21	12	such	such	ADJ
cana-3378	21	13	as	as	ADP
cana-3378	21	14	algorithms	algorithm	NOUN
cana-3378	21	15	,	,	PUNCT
cana-3378	21	16	data	datum	NOUN
cana-3378	21	17	structures	structure	NOUN
cana-3378	21	18	,	,	PUNCT
cana-3378	21	19	graphs	graph	NOUN
cana-3378	21	20	and	and	CCONJ
cana-3378	21	21	graph	graph	NOUN
cana-3378	21	22	algorithms	algorithm	NOUN
cana-3378	21	23	,	,	PUNCT
cana-3378	21	24	automata	automata	NOUN
cana-3378	21	25	,	,	PUNCT
cana-3378	21	26	cryptography	cryptography	NOUN
cana-3378	21	27	and	and	CCONJ
cana-3378	21	28	complexity	complexity	NOUN
cana-3378	21	29	.	.	PUNCT
cana-3378	22	1	discrete	discrete	ADJ
cana-3378	22	2	mathematics	mathematic	NOUN
cana-3378	22	3	can	can	AUX
cana-3378	22	4	be	be	AUX
cana-3378	22	5	applied	apply	VERB
cana-3378	22	6	to	to	ADP
cana-3378	22	7	almost	almost	ADV
cana-3378	22	8	any	any	PRON
cana-3378	22	9	problem	problem	NOUN
cana-3378	22	10	that	that	PRON
cana-3378	22	11	we	we	PRON
cana-3378	22	12	come	come	VERB
cana-3378	22	13	across	across	ADP
cana-3378	22	14	nowadays	nowadays	ADV
cana-3378	22	15	particularly	particularly	ADV
cana-3378	22	16	in	in	ADP
cana-3378	22	17	computer	computer	NOUN
cana-3378	22	18	science	science	NOUN
cana-3378	22	19	due	due	ADP
cana-3378	22	20	to	to	ADP
cana-3378	22	21	its	its	PRON
cana-3378	22	22	capability	capability	NOUN
cana-3378	22	23	to	to	PART
cana-3378	22	24	model	model	VERB
cana-3378	22	25	complex	complex	ADJ
cana-3378	22	26	systems	system	NOUN
cana-3378	22	27	in	in	ADP
cana-3378	22	28	its	its	PRON
cana-3378	22	29	abstract	abstract	ADJ
cana-3378	22	30	form	form	NOUN
cana-3378	22	31	,	,	PUNCT
cana-3378	22	32	with	with	ADP
cana-3378	22	33	realism	realism	NOUN
cana-3378	22	34	to	to	PART
cana-3378	22	35	provide	provide	VERB
cana-3378	22	36	computational	computational	ADJ
cana-3378	22	37	solutions	solution	NOUN
cana-3378	22	38	in	in	ADP
cana-3378	22	39	different	different	ADJ
cana-3378	22	40	fields	field	NOUN
cana-3378	22	41	including	include	VERB
cana-3378	22	42	networking	networking	NOUN
cana-3378	22	43	,	,	PUNCT
cana-3378	22	44	data	datum	NOUN
cana-3378	22	45	base	base	NOUN
cana-3378	22	46	,	,	PUNCT
cana-3378	22	47	artificial	artificial	ADJ
cana-3378	22	48	intelligence	intelligence	NOUN
cana-3378	22	49	and	and	CCONJ
cana-3378	22	50	cryptography	cryptography	NOUN
cana-3378	23	1	[	[	X
cana-3378	23	2	1	1	NUM
cana-3378	23	3	]	]	PUNCT
cana-3378	23	4	.	.	PUNCT
cana-3378	24	1	discrete	discrete	ADJ
cana-3378	24	2	mathematics	mathematic	NOUN
cana-3378	24	3	may	may	AUX
cana-3378	24	4	be	be	AUX
cana-3378	24	5	described	describe	VERB
cana-3378	24	6	as	as	ADP
cana-3378	24	7	the	the	DET
cana-3378	24	8	subject	subject	NOUN
cana-3378	24	9	in	in	ADP
cana-3378	24	10	which	which	PRON
cana-3378	24	11	structures	structure	NOUN
cana-3378	24	12	such	such	ADJ
cana-3378	24	13	as	as	ADP
cana-3378	24	14	sets	set	NOUN
cana-3378	24	15	,	,	PUNCT
cana-3378	24	16	relations	relation	NOUN
cana-3378	24	17	,	,	PUNCT
cana-3378	24	18	functions	function	NOUN
cana-3378	24	19	,	,	PUNCT
cana-3378	24	20	graphs	graph	NOUN
cana-3378	24	21	,	,	PUNCT
cana-3378	24	22	and	and	CCONJ
cana-3378	24	23	combinatory	combinatory	NOUN
cana-3378	24	24	are	be	AUX
cana-3378	24	25	core	core	NOUN
cana-3378	24	26	to	to	ADP
cana-3378	24	27	the	the	DET
cana-3378	24	28	creation	creation	NOUN
cana-3378	24	29	of	of	ADP
cana-3378	24	30	algorithms	algorithm	NOUN
cana-3378	24	31	that	that	PRON
cana-3378	24	32	solve	solve	VERB
cana-3378	24	33	computational	computational	ADJ
cana-3378	24	34	mailto:vinodhinir41034.sse@saveetha.com	mailto:vinodhinir41034.sse@saveetha.com	NOUN
cana-3378	24	35	mailto:malinimait.sse@saveetha.com	mailto:malinimait.sse@saveetha.com	X
cana-3378	25	1	mailto:mnk.maths@gmail.com	mailto:mnk.maths@gmail.com	X
cana-3378	25	2	mailto:stellamaragathamr.sse@saveetha.com	mailto:stellamaragathamr.sse@saveetha.com	NOUN
cana-3378	26	1	mailto:k.mruduladevi@aec.edu.in	mailto:k.mruduladevi@aec.edu.in	VERB
cana-3378	26	2	mailto:belecd@rediffmail.com	mailto:belecd@rediffmail.com	X
cana-3378	27	1	mailto:balaprabhakar.mattaparthi@aec.edu.in	mailto:balaprabhakar.mattaparthi@aec.edu.in	PROPN
cana-3378	27	2	communications	communication	NOUN
cana-3378	27	3	on	on	ADP
cana-3378	27	4	applied	apply	VERB
cana-3378	27	5	nonlinear	nonlinear	ADJ
cana-3378	27	6	analysis	analysis	NOUN
cana-3378	27	7	issn	issn	NOUN
cana-3378	27	8	:	:	PUNCT
cana-3378	27	9	1074	1074	NUM
cana-3378	27	10	-	-	PUNCT
cana-3378	27	11	133x	133x	NUM
cana-3378	27	12	vol	vol	NOUN
cana-3378	27	13	32	32	NUM
cana-3378	27	14	no	no	NOUN
cana-3378	27	15	.	.	PUNCT
cana-3378	28	1	7s	7	NOUN
cana-3378	28	2	(	(	PUNCT
cana-3378	28	3	2025	2025	NUM
cana-3378	28	4	)	)	PUNCT
cana-3378	28	5	211	211	NUM
cana-3378	28	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	28	7	issues	issue	NOUN
cana-3378	28	8	proficiently	proficiently	ADV
cana-3378	28	9	.	.	PUNCT
cana-3378	29	1	in	in	ADP
cana-3378	29	2	algorithm	algorithm	NOUN
cana-3378	29	3	design	design	NOUN
cana-3378	29	4	and	and	CCONJ
cana-3378	29	5	analysis	analysis	NOUN
cana-3378	29	6	,	,	PUNCT
cana-3378	29	7	discrete	discrete	ADJ
cana-3378	29	8	math	math	NOUN
cana-3378	29	9	supplies	supply	VERB
cana-3378	29	10	all	all	DET
cana-3378	29	11	the	the	DET
cana-3378	29	12	tools	tool	NOUN
cana-3378	29	13	needed	need	VERB
cana-3378	29	14	to	to	PART
cana-3378	29	15	define	define	VERB
cana-3378	29	16	data	datum	NOUN
cana-3378	29	17	,	,	PUNCT
cana-3378	29	18	examine	examine	VERB
cana-3378	29	19	patterns	pattern	NOUN
cana-3378	29	20	,	,	PUNCT
cana-3378	29	21	and	and	CCONJ
cana-3378	29	22	design	design	VERB
cana-3378	29	23	the	the	DET
cana-3378	29	24	algorithms	algorithm	NOUN
cana-3378	29	25	that	that	PRON
cana-3378	29	26	will	will	AUX
cana-3378	29	27	guarantee	guarantee	VERB
cana-3378	29	28	the	the	DET
cana-3378	29	29	maximum	maximum	ADJ
cana-3378	29	30	throughput	throughput	NOUN
cana-3378	29	31	.	.	PUNCT
cana-3378	30	1	since	since	SCONJ
cana-3378	30	2	algorithms	algorithm	NOUN
cana-3378	30	3	are	be	AUX
cana-3378	30	4	core	core	ADJ
cana-3378	30	5	to	to	ADP
cana-3378	30	6	computer	computer	NOUN
cana-3378	30	7	programs	program	NOUN
cana-3378	30	8	,	,	PUNCT
cana-3378	30	9	the	the	DET
cana-3378	30	10	application	application	NOUN
cana-3378	30	11	of	of	ADP
cana-3378	30	12	mathematical	mathematical	ADJ
cana-3378	30	13	techniques	technique	NOUN
cana-3378	30	14	helps	help	VERB
cana-3378	30	15	provide	provide	VERB
cana-3378	30	16	not	not	PART
cana-3378	30	17	only	only	ADV
cana-3378	30	18	the	the	DET
cana-3378	30	19	efficiency	efficiency	NOUN
cana-3378	30	20	but	but	CCONJ
cana-3378	30	21	also	also	ADV
cana-3378	30	22	the	the	DET
cana-3378	30	23	robustness	robustness	NOUN
cana-3378	30	24	and	and	CCONJ
cana-3378	30	25	scalability	scalability	NOUN
cana-3378	30	26	of	of	ADP
cana-3378	30	27	the	the	DET
cana-3378	30	28	designed	design	VERB
cana-3378	30	29	systems	system	NOUN
cana-3378	30	30	[	[	X
cana-3378	30	31	2	2	NUM
cana-3378	30	32	-	-	SYM
cana-3378	30	33	3	3	NUM
cana-3378	30	34	]	]	PUNCT
cana-3378	30	35	.	.	PUNCT
cana-3378	31	1	graph	graph	NOUN
cana-3378	31	2	theory	theory	NOUN
cana-3378	31	3	is	be	AUX
cana-3378	31	4	an	an	DET
cana-3378	31	5	important	important	ADJ
cana-3378	31	6	branch	branch	NOUN
cana-3378	31	7	of	of	ADP
cana-3378	31	8	discrete	discrete	ADJ
cana-3378	31	9	mathematics	mathematic	NOUN
cana-3378	31	10	which	which	PRON
cana-3378	31	11	can	can	AUX
cana-3378	31	12	find	find	VERB
cana-3378	31	13	its	its	PRON
cana-3378	31	14	use	use	NOUN
cana-3378	31	15	in	in	ADP
cana-3378	31	16	numerous	numerous	ADJ
cana-3378	31	17	computer	computer	NOUN
cana-3378	31	18	related	relate	VERB
cana-3378	31	19	areas	area	NOUN
cana-3378	31	20	as	as	ADV
cana-3378	31	21	well	well	ADV
cana-3378	31	22	as	as	ADP
cana-3378	31	23	in	in	ADP
cana-3378	31	24	social	social	ADJ
cana-3378	31	25	network	network	NOUN
cana-3378	31	26	,	,	PUNCT
cana-3378	31	27	bioinformatics	bioinformatics	NOUN
cana-3378	31	28	and	and	CCONJ
cana-3378	31	29	transport	transport	NOUN
cana-3378	31	30	systems	system	NOUN
cana-3378	31	31	.	.	PUNCT
cana-3378	32	1	the	the	DET
cana-3378	32	2	use	use	NOUN
cana-3378	32	3	of	of	ADP
cana-3378	32	4	graphs	graph	NOUN
cana-3378	32	5	when	when	SCONJ
cana-3378	32	6	modeling	modeling	NOUN
cana-3378	32	7	depicts	depict	VERB
cana-3378	32	8	the	the	DET
cana-3378	32	9	capability	capability	NOUN
cana-3378	32	10	of	of	ADP
cana-3378	32	11	arriving	arrive	VERB
cana-3378	32	12	at	at	ADP
cana-3378	32	13	several	several	ADJ
cana-3378	32	14	solutions	solution	NOUN
cana-3378	32	15	to	to	PART
cana-3378	32	16	graph	graph	VERB
cana-3378	32	17	problems	problem	NOUN
cana-3378	32	18	such	such	ADJ
cana-3378	32	19	as	as	ADP
cana-3378	32	20	the	the	DET
cana-3378	32	21	shortest	short	ADJ
cana-3378	32	22	path	path	NOUN
cana-3378	32	23	,	,	PUNCT
cana-3378	32	24	network	network	NOUN
cana-3378	32	25	flow	flow	NOUN
cana-3378	32	26	,	,	PUNCT
cana-3378	32	27	and	and	CCONJ
cana-3378	32	28	connection	connection	NOUN
cana-3378	32	29	analysis	analysis	NOUN
cana-3378	32	30	.	.	PUNCT
cana-3378	33	1	algorithms	algorithm	NOUN
cana-3378	33	2	like	like	ADP
cana-3378	33	3	dijkstra	dijkstra	PROPN
cana-3378	33	4	’s	’s	PART
cana-3378	33	5	algorithm	algorithm	NOUN
cana-3378	33	6	,	,	PUNCT
cana-3378	33	7	bellman	bellman	NOUN
cana-3378	33	8	-	-	PUNCT
cana-3378	33	9	ford	ford	PROPN
cana-3378	33	10	algorithm	algorithm	NOUN
cana-3378	33	11	,	,	PUNCT
cana-3378	33	12	traversal	traversal	NOUN
cana-3378	33	13	algorithms	algorithm	NOUN
cana-3378	33	14	and	and	CCONJ
cana-3378	33	15	more	more	ADJ
cana-3378	33	16	are	be	AUX
cana-3378	33	17	based	base	VERB
cana-3378	33	18	on	on	ADP
cana-3378	33	19	the	the	DET
cana-3378	33	20	principles	principle	NOUN
cana-3378	33	21	of	of	ADP
cana-3378	33	22	graph	graph	NOUN
cana-3378	33	23	theory	theory	NOUN
cana-3378	33	24	,	,	PUNCT
cana-3378	33	25	therefore	therefore	ADV
cana-3378	33	26	making	make	VERB
cana-3378	33	27	the	the	DET
cana-3378	33	28	field	field	NOUN
cana-3378	33	29	one	one	NUM
cana-3378	33	30	of	of	ADP
cana-3378	33	31	most	most	ADV
cana-3378	33	32	important	important	ADJ
cana-3378	33	33	subfields	subfield	NOUN
cana-3378	33	34	of	of	ADP
cana-3378	33	35	computer	computer	NOUN
cana-3378	33	36	science	science	NOUN
cana-3378	33	37	.	.	PUNCT
cana-3378	34	1	other	other	ADJ
cana-3378	34	2	than	than	ADP
cana-3378	34	3	the	the	DET
cana-3378	34	4	regular	regular	ADJ
cana-3378	34	5	usage	usage	NOUN
cana-3378	34	6	in	in	ADP
cana-3378	34	7	handling	handle	VERB
cana-3378	34	8	problems	problem	NOUN
cana-3378	34	9	of	of	ADP
cana-3378	34	10	optimization	optimization	NOUN
cana-3378	34	11	and	and	CCONJ
cana-3378	34	12	search	search	NOUN
cana-3378	34	13	,	,	PUNCT
cana-3378	34	14	a	a	DET
cana-3378	34	15	significant	significant	ADJ
cana-3378	34	16	use	use	NOUN
cana-3378	34	17	of	of	ADP
cana-3378	34	18	the	the	DET
cana-3378	34	19	graph	graph	NOUN
cana-3378	34	20	theory	theory	NOUN
cana-3378	34	21	is	be	AUX
cana-3378	34	22	to	to	PART
cana-3378	34	23	describe	describe	VERB
cana-3378	34	24	structures	structure	NOUN
cana-3378	34	25	of	of	ADP
cana-3378	34	26	networks	network	NOUN
cana-3378	34	27	such	such	ADJ
cana-3378	34	28	as	as	ADP
cana-3378	34	29	the	the	DET
cana-3378	34	30	internet	internet	NOUN
cana-3378	34	31	with	with	ADP
cana-3378	34	32	nodes	node	NOUN
cana-3378	34	33	(	(	PUNCT
cana-3378	34	34	representing	represent	VERB
cana-3378	34	35	the	the	DET
cana-3378	34	36	computers	computer	NOUN
cana-3378	34	37	or	or	CCONJ
cana-3378	34	38	routers	router	NOUN
cana-3378	34	39	)	)	PUNCT
cana-3378	34	40	joined	join	VERB
cana-3378	34	41	through	through	ADP
cana-3378	34	42	edges	edge	NOUN
cana-3378	34	43	(	(	PUNCT
cana-3378	34	44	representing	represent	VERB
cana-3378	34	45	the	the	DET
cana-3378	34	46	pathways	pathway	NOUN
cana-3378	34	47	of	of	ADP
cana-3378	34	48	the	the	DET
cana-3378	34	49	data	datum	NOUN
cana-3378	34	50	[	[	X
cana-3378	34	51	5	5	NUM
cana-3378	34	52	]	]	PUNCT
cana-3378	34	53	.	.	PUNCT
cana-3378	35	1	it	it	PRON
cana-3378	35	2	is	be	AUX
cana-3378	35	3	also	also	ADV
cana-3378	35	4	important	important	ADJ
cana-3378	35	5	in	in	ADP
cana-3378	35	6	designing	design	VERB
cana-3378	35	7	good	good	ADJ
cana-3378	35	8	data	datum	NOUN
cana-3378	35	9	structure	structure	NOUN
cana-3378	35	10	,	,	PUNCT
cana-3378	35	11	for	for	ADP
cana-3378	35	12	example	example	NOUN
cana-3378	35	13	trees	tree	NOUN
cana-3378	35	14	,	,	PUNCT
cana-3378	35	15	heaps	heap	NOUN
cana-3378	35	16	,	,	PUNCT
cana-3378	35	17	hash	hash	NOUN
cana-3378	35	18	tables	table	NOUN
cana-3378	35	19	and	and	CCONJ
cana-3378	35	20	graphs	graph	NOUN
cana-3378	35	21	to	to	PART
cana-3378	35	22	name	name	VERB
cana-3378	35	23	but	but	CCONJ
cana-3378	35	24	a	a	DET
cana-3378	35	25	few	few	ADJ
cana-3378	35	26	.	.	PUNCT
cana-3378	36	1	these	these	DET
cana-3378	36	2	structures	structure	NOUN
cana-3378	36	3	are	be	AUX
cana-3378	36	4	crucial	crucial	ADJ
cana-3378	36	5	in	in	ADP
cana-3378	36	6	putting	put	VERB
cana-3378	36	7	arrange	arrange	NOUN
cana-3378	36	8	and	and	CCONJ
cana-3378	36	9	storing	store	VERB
cana-3378	36	10	information	information	NOUN
cana-3378	36	11	in	in	ADP
cana-3378	36	12	a	a	DET
cana-3378	36	13	way	way	NOUN
cana-3378	36	14	that	that	PRON
cana-3378	36	15	the	the	DET
cana-3378	36	16	data	datum	NOUN
cana-3378	36	17	can	can	AUX
cana-3378	36	18	be	be	AUX
cana-3378	36	19	retrieved	retrieve	VERB
cana-3378	36	20	and	and	CCONJ
cana-3378	36	21	changed	change	VERB
cana-3378	36	22	in	in	ADP
cana-3378	36	23	the	the	DET
cana-3378	36	24	shortest	short	ADJ
cana-3378	36	25	time	time	NOUN
cana-3378	36	26	possible	possible	ADJ
cana-3378	36	27	.	.	PUNCT
cana-3378	37	1	for	for	ADP
cana-3378	37	2	instance	instance	NOUN
cana-3378	37	3	,	,	PUNCT
cana-3378	37	4	self	self	NOUN
cana-3378	37	5	-	-	PUNCT
cana-3378	37	6	organizing	organize	VERB
cana-3378	37	7	,	,	PUNCT
cana-3378	37	8	selfadjusting	selfadjuste	VERB
cana-3378	37	9	structures	structure	NOUN
cana-3378	37	10	such	such	ADJ
cana-3378	37	11	as	as	ADP
cana-3378	37	12	avl	avl	PROPN
cana-3378	37	13	trees	tree	NOUN
cana-3378	37	14	or	or	CCONJ
cana-3378	37	15	b	b	NOUN
cana-3378	37	16	-	-	PUNCT
cana-3378	37	17	trees	tree	NOUN
cana-3378	37	18	which	which	PRON
cana-3378	37	19	provide	provide	VERB
cana-3378	37	20	high	high	ADJ
cana-3378	37	21	speed	speed	NOUN
cana-3378	37	22	in	in	ADP
cana-3378	37	23	searching	searching	NOUN
cana-3378	37	24	,	,	PUNCT
cana-3378	37	25	insertion	insertion	NOUN
cana-3378	37	26	or	or	CCONJ
cana-3378	37	27	deletion	deletion	NOUN
cana-3378	37	28	operations	operation	NOUN
cana-3378	37	29	are	be	AUX
cana-3378	37	30	very	very	ADV
cana-3378	37	31	useful	useful	ADJ
cana-3378	37	32	in	in	ADP
cana-3378	37	33	many	many	ADJ
cana-3378	37	34	real	real	ADJ
cana-3378	37	35	-	-	PUNCT
cana-3378	37	36	world	world	NOUN
cana-3378	37	37	applications	application	NOUN
cana-3378	37	38	such	such	ADJ
cana-3378	37	39	as	as	ADP
cana-3378	37	40	,	,	PUNCT
cana-3378	37	41	database	database	NOUN
cana-3378	37	42	systems	system	NOUN
cana-3378	37	43	,	,	PUNCT
cana-3378	37	44	file	file	NOUN
cana-3378	37	45	systems	system	NOUN
cana-3378	37	46	,	,	PUNCT
cana-3378	37	47	and	and	CCONJ
cana-3378	37	48	search	search	NOUN
cana-3378	37	49	engines	engine	NOUN
cana-3378	37	50	,	,	PUNCT
cana-3378	37	51	and	and	CCONJ
cana-3378	37	52	so	so	ADV
cana-3378	37	53	on	on	ADP
cana-3378	37	54	[	[	PUNCT
cana-3378	37	55	10	10	NUM
cana-3378	37	56	]	]	PUNCT
cana-3378	37	57	.	.	PUNCT
cana-3378	38	1	furthermore	furthermore	ADV
cana-3378	38	2	,	,	PUNCT
cana-3378	38	3	discrete	discrete	ADJ
cana-3378	38	4	mathematics	mathematic	NOUN
cana-3378	38	5	is	be	AUX
cana-3378	38	6	directly	directly	ADV
cana-3378	38	7	related	relate	VERB
cana-3378	38	8	to	to	ADP
cana-3378	38	9	the	the	DET
cana-3378	38	10	field	field	NOUN
cana-3378	38	11	of	of	ADP
cana-3378	38	12	computational	computational	ADJ
cana-3378	38	13	complexity	complexity	NOUN
cana-3378	38	14	theory	theory	NOUN
cana-3378	38	15	which	which	PRON
cana-3378	38	16	focuses	focus	VERB
cana-3378	38	17	on	on	ADP
cana-3378	38	18	a	a	DET
cana-3378	38	19	classification	classification	NOUN
cana-3378	38	20	of	of	ADP
cana-3378	38	21	problems	problem	NOUN
cana-3378	38	22	and	and	CCONJ
cana-3378	38	23	general	general	ADJ
cana-3378	38	24	ideas	idea	NOUN
cana-3378	38	25	regarding	regard	VERB
cana-3378	38	26	computation	computation	NOUN
cana-3378	38	27	and	and	CCONJ
cana-3378	38	28	efficiency	efficiency	NOUN
cana-3378	38	29	of	of	ADP
cana-3378	38	30	algorithms	algorithm	NOUN
cana-3378	38	31	when	when	SCONJ
cana-3378	38	32	the	the	DET
cana-3378	38	33	size	size	NOUN
cana-3378	38	34	of	of	ADP
cana-3378	38	35	input	input	NOUN
cana-3378	38	36	data	datum	NOUN
cana-3378	38	37	is	be	AUX
cana-3378	38	38	increased	increase	VERB
cana-3378	38	39	.	.	PUNCT
cana-3378	39	1	such	such	ADJ
cana-3378	39	2	categorization	categorization	NOUN
cana-3378	39	3	is	be	AUX
cana-3378	39	4	important	important	ADJ
cana-3378	39	5	when	when	SCONJ
cana-3378	39	6	dealing	deal	VERB
cana-3378	39	7	with	with	ADP
cana-3378	39	8	a	a	DET
cana-3378	39	9	big	big	ADJ
cana-3378	39	10	amount	amount	NOUN
cana-3378	39	11	of	of	ADP
cana-3378	39	12	data	datum	NOUN
cana-3378	39	13	or	or	CCONJ
cana-3378	39	14	systems	system	NOUN
cana-3378	39	15	where	where	SCONJ
cana-3378	39	16	efficiency	efficiency	NOUN
cana-3378	39	17	is	be	AUX
cana-3378	39	18	a	a	DET
cana-3378	39	19	priority	priority	NOUN
cana-3378	39	20	under	under	ADP
cana-3378	39	21	conditions	condition	NOUN
cana-3378	39	22	of	of	ADP
cana-3378	39	23	restricted	restricted	ADJ
cana-3378	39	24	resources	resource	NOUN
cana-3378	39	25	.	.	PUNCT
cana-3378	40	1	for	for	ADP
cana-3378	40	2	instance	instance	NOUN
cana-3378	40	3	,	,	PUNCT
cana-3378	40	4	the	the	DET
cana-3378	40	5	theory	theory	NOUN
cana-3378	40	6	of	of	ADP
cana-3378	40	7	np	np	NOUN
cana-3378	40	8	-	-	PUNCT
cana-3378	40	9	completeness	completeness	NOUN
cana-3378	40	10	shows	show	NOUN
cana-3378	40	11	which	which	DET
cana-3378	40	12	problem	problem	NOUN
cana-3378	40	13	is	be	AUX
cana-3378	40	14	difficult	difficult	ADJ
cana-3378	40	15	to	to	PART
cana-3378	40	16	solve	solve	VERB
cana-3378	40	17	within	within	ADP
cana-3378	40	18	a	a	DET
cana-3378	40	19	given	give	VERB
cana-3378	40	20	time	time	NOUN
cana-3378	40	21	bound	bind	VERB
cana-3378	40	22	so	so	SCONJ
cana-3378	40	23	that	that	SCONJ
cana-3378	40	24	researchers	researcher	NOUN
cana-3378	40	25	focus	focus	VERB
cana-3378	40	26	on	on	ADP
cana-3378	40	27	approaching	approach	VERB
cana-3378	40	28	them	they	PRON
cana-3378	40	29	by	by	ADP
cana-3378	40	30	practical	practical	ADJ
cana-3378	40	31	approximation	approximation	NOUN
cana-3378	40	32	or	or	CCONJ
cana-3378	40	33	heuristic	heuristic	ADJ
cana-3378	40	34	methods	method	NOUN
cana-3378	40	35	[	[	PUNCT
cana-3378	40	36	6	6	NUM
cana-3378	40	37	-	-	SYM
cana-3378	40	38	7	7	NUM
cana-3378	40	39	]	]	PUNCT
cana-3378	40	40	.	.	PUNCT
cana-3378	41	1	probably	probably	ADV
cana-3378	41	2	one	one	NUM
cana-3378	41	3	of	of	ADP
cana-3378	41	4	the	the	DET
cana-3378	41	5	breakthroughs	breakthrough	NOUN
cana-3378	41	6	of	of	ADP
cana-3378	41	7	computer	computer	NOUN
cana-3378	41	8	science	science	NOUN
cana-3378	41	9	students	student	NOUN
cana-3378	41	10	was	be	AUX
cana-3378	41	11	the	the	DET
cana-3378	41	12	use	use	NOUN
cana-3378	41	13	of	of	ADP
cana-3378	41	14	discrete	discrete	ADJ
cana-3378	41	15	math	math	NOUN
cana-3378	41	16	in	in	ADP
cana-3378	41	17	the	the	DET
cana-3378	41	18	creation	creation	NOUN
cana-3378	41	19	of	of	ADP
cana-3378	41	20	the	the	DET
cana-3378	41	21	cryptography	cryptography	NOUN
cana-3378	41	22	system	system	NOUN
cana-3378	41	23	.	.	PUNCT
cana-3378	42	1	almost	almost	ADV
cana-3378	42	2	all	all	DET
cana-3378	42	3	the	the	DET
cana-3378	42	4	basis	basis	NOUN
cana-3378	42	5	for	for	ADP
cana-3378	42	6	cryptography	cryptography	NOUN
cana-3378	42	7	,	,	PUNCT
cana-3378	42	8	aka	aka	ADV
cana-3378	42	9	secure	secure	ADJ
cana-3378	42	10	communication	communication	NOUN
cana-3378	42	11	in	in	ADP
cana-3378	42	12	the	the	DET
cana-3378	42	13	context	context	NOUN
cana-3378	42	14	of	of	ADP
cana-3378	42	15	the	the	DET
cana-3378	42	16	new	new	ADJ
cana-3378	42	17	world	world	NOUN
cana-3378	42	18	order	order	NOUN
cana-3378	42	19	,	,	PUNCT
cana-3378	42	20	depends	depend	VERB
cana-3378	42	21	on	on	ADP
cana-3378	42	22	number	number	NOUN
cana-3378	42	23	theory	theory	NOUN
cana-3378	42	24	or	or	CCONJ
cana-3378	42	25	modular	modular	ADJ
cana-3378	42	26	calculations	calculation	NOUN
cana-3378	42	27	as	as	ADV
cana-3378	42	28	well	well	ADV
cana-3378	42	29	as	as	ADP
cana-3378	42	30	combinatorial	combinatorial	ADJ
cana-3378	42	31	mathematics	mathematic	NOUN
cana-3378	42	32	.	.	PUNCT
cana-3378	43	1	contemporary	contemporary	ADJ
cana-3378	43	2	symmetric	symmetric	ADJ
cana-3378	43	3	and	and	CCONJ
cana-3378	43	4	asymmetric	asymmetric	ADJ
cana-3378	43	5	key	key	ADJ
cana-3378	43	6	technologies	technology	NOUN
cana-3378	43	7	including	include	VERB
cana-3378	43	8	rsa	rsa	PROPN
cana-3378	43	9	,	,	PUNCT
cana-3378	43	10	aes	aes	PROPN
cana-3378	43	11	,	,	PUNCT
cana-3378	43	12	elliptic	elliptic	ADJ
cana-3378	43	13	curve	curve	NOUN
cana-3378	43	14	cryptography	cryptography	NOUN
cana-3378	43	15	are	be	AUX
cana-3378	43	16	founded	found	VERB
cana-3378	43	17	on	on	ADP
cana-3378	43	18	the	the	DET
cana-3378	43	19	number	number	NOUN
cana-3378	43	20	theory	theory	NOUN
cana-3378	43	21	a	a	DET
cana-3378	43	22	branch	branch	NOUN
cana-3378	43	23	of	of	ADP
cana-3378	43	24	discrete	discrete	ADJ
cana-3378	43	25	mathematics	mathematic	NOUN
cana-3378	43	26	for	for	ADP
cana-3378	43	27	secure	secure	ADJ
cana-3378	43	28	transmission	transmission	NOUN
cana-3378	43	29	and	and	CCONJ
cana-3378	43	30	preservation	preservation	NOUN
cana-3378	43	31	of	of	ADP
cana-3378	43	32	information	information	NOUN
cana-3378	43	33	[	[	X
cana-3378	43	34	19	19	NUM
cana-3378	43	35	]	]	PUNCT
cana-3378	43	36	.	.	PUNCT
cana-3378	44	1	discrete	discrete	ADJ
cana-3378	44	2	mathematics	mathematic	NOUN
cana-3378	44	3	is	be	AUX
cana-3378	44	4	not	not	PART
cana-3378	44	5	just	just	ADV
cana-3378	44	6	the	the	DET
cana-3378	44	7	academic	academic	ADJ
cana-3378	44	8	study	study	NOUN
cana-3378	44	9	of	of	ADP
cana-3378	44	10	ideas	idea	NOUN
cana-3378	44	11	but	but	CCONJ
cana-3378	44	12	a	a	DET
cana-3378	44	13	technology	technology	NOUN
cana-3378	44	14	that	that	PRON
cana-3378	44	15	assists	assist	VERB
cana-3378	44	16	computer	computer	NOUN
cana-3378	44	17	science	science	NOUN
cana-3378	44	18	to	to	PART
cana-3378	44	19	handle	handle	VERB
cana-3378	44	20	genuine	genuine	ADJ
cana-3378	44	21	issues	issue	NOUN
cana-3378	44	22	.	.	PUNCT
cana-3378	45	1	according	accord	VERB
cana-3378	45	2	to	to	ADP
cana-3378	45	3	the	the	DET
cana-3378	45	4	present	present	ADJ
cana-3378	45	5	and	and	CCONJ
cana-3378	45	6	increasing	increase	VERB
cana-3378	45	7	role	role	NOUN
cana-3378	45	8	of	of	ADP
cana-3378	45	9	computational	computational	ADJ
cana-3378	45	10	systems	system	NOUN
cana-3378	45	11	in	in	ADP
cana-3378	45	12	our	our	PRON
cana-3378	45	13	existence	existence	NOUN
cana-3378	45	14	,	,	PUNCT
cana-3378	45	15	it	it	PRON
cana-3378	45	16	can	can	AUX
cana-3378	45	17	be	be	AUX
cana-3378	45	18	argued	argue	VERB
cana-3378	45	19	that	that	SCONJ
cana-3378	45	20	discrete	discrete	ADJ
cana-3378	45	21	mathematics	mathematic	NOUN
cana-3378	45	22	is	be	AUX
cana-3378	45	23	critically	critically	ADV
cana-3378	45	24	important	important	ADJ
cana-3378	45	25	to	to	ADP
cana-3378	45	26	the	the	DET
cana-3378	45	27	development	development	NOUN
cana-3378	45	28	of	of	ADP
cana-3378	45	29	future	future	ADJ
cana-3378	45	30	computer	computer	NOUN
cana-3378	45	31	science	science	NOUN
cana-3378	46	1	[	[	X
cana-3378	46	2	11	11	NUM
cana-3378	46	3	-	-	SYM
cana-3378	46	4	13	13	NUM
cana-3378	46	5	]	]	PUNCT
cana-3378	46	6	.	.	PUNCT
cana-3378	47	1	novelty	novelty	NOUN
cana-3378	47	2	and	and	CCONJ
cana-3378	47	3	contribution	contribution	NOUN
cana-3378	47	4	in	in	ADP
cana-3378	47	5	the	the	DET
cana-3378	47	6	context	context	NOUN
cana-3378	47	7	of	of	ADP
cana-3378	47	8	the	the	DET
cana-3378	47	9	purpose	purpose	NOUN
cana-3378	47	10	of	of	ADP
cana-3378	47	11	this	this	DET
cana-3378	47	12	work	work	NOUN
cana-3378	47	13	and	and	CCONJ
cana-3378	47	14	its	its	PRON
cana-3378	47	15	contribution	contribution	NOUN
cana-3378	47	16	the	the	DET
cana-3378	47	17	ideas	idea	NOUN
cana-3378	47	18	proven	prove	VERB
cana-3378	47	19	beneficial	beneficial	ADJ
cana-3378	47	20	are	be	AUX
cana-3378	47	21	as	as	SCONJ
cana-3378	47	22	follows	follow	VERB
cana-3378	47	23	:	:	PUNCT
cana-3378	47	24	the	the	DET
cana-3378	47	25	presented	present	VERB
cana-3378	47	26	work	work	NOUN
cana-3378	47	27	is	be	AUX
cana-3378	47	28	the	the	DET
cana-3378	47	29	first	first	ADJ
cana-3378	47	30	attempt	attempt	NOUN
cana-3378	47	31	to	to	PART
cana-3378	47	32	connect	connect	VERB
cana-3378	47	33	disparate	disparate	ADJ
cana-3378	47	34	elements	element	NOUN
cana-3378	47	35	of	of	ADP
cana-3378	47	36	discrete	discrete	ADJ
cana-3378	47	37	mathematics	mathematic	NOUN
cana-3378	47	38	not	not	PART
cana-3378	47	39	only	only	ADV
cana-3378	47	40	as	as	ADP
cana-3378	47	41	a	a	DET
cana-3378	47	42	theoretical	theoretical	ADJ
cana-3378	47	43	subject	subject	NOUN
cana-3378	47	44	but	but	CCONJ
cana-3378	47	45	to	to	PART
cana-3378	47	46	provide	provide	VERB
cana-3378	47	47	a	a	DET
cana-3378	47	48	unified	unified	ADJ
cana-3378	47	49	approach	approach	NOUN
cana-3378	47	50	towards	towards	ADP
cana-3378	47	51	understanding	understanding	NOUN
cana-3378	47	52	and	and	CCONJ
cana-3378	47	53	solving	solve	VERB
cana-3378	47	54	practical	practical	ADJ
cana-3378	47	55	communications	communication	NOUN
cana-3378	47	56	on	on	ADP
cana-3378	47	57	applied	apply	VERB
cana-3378	47	58	nonlinear	nonlinear	ADJ
cana-3378	47	59	analysis	analysis	NOUN
cana-3378	47	60	issn	issn	NOUN
cana-3378	47	61	:	:	PUNCT
cana-3378	47	62	1074	1074	NUM
cana-3378	47	63	-	-	PUNCT
cana-3378	47	64	133x	133x	NUM
cana-3378	47	65	vol	vol	NOUN
cana-3378	47	66	32	32	NUM
cana-3378	47	67	no	no	NOUN
cana-3378	47	68	.	.	PUNCT
cana-3378	48	1	7s	7	NOUN
cana-3378	48	2	(	(	PUNCT
cana-3378	48	3	2025	2025	NUM
cana-3378	48	4	)	)	PUNCT
cana-3378	48	5	212	212	NUM
cana-3378	48	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	48	7	problems	problem	NOUN
cana-3378	48	8	encountered	encounter	VERB
cana-3378	48	9	in	in	ADP
cana-3378	48	10	the	the	DET
cana-3378	48	11	sphere	sphere	NOUN
cana-3378	48	12	of	of	ADP
cana-3378	48	13	computer	computer	NOUN
cana-3378	48	14	science	science	NOUN
cana-3378	48	15	.	.	PUNCT
cana-3378	49	1	although	although	SCONJ
cana-3378	49	2	most	most	ADJ
cana-3378	49	3	previous	previous	ADJ
cana-3378	49	4	works	work	NOUN
cana-3378	49	5	offer	offer	VERB
cana-3378	49	6	rather	rather	ADV
cana-3378	49	7	detailed	detailed	ADJ
cana-3378	49	8	descriptions	description	NOUN
cana-3378	49	9	and	and	CCONJ
cana-3378	49	10	analyses	analysis	NOUN
cana-3378	49	11	of	of	ADP
cana-3378	49	12	the	the	DET
cana-3378	49	13	different	different	ADJ
cana-3378	49	14	domains	domain	NOUN
cana-3378	49	15	of	of	ADP
cana-3378	49	16	discrete	discrete	ADJ
cana-3378	49	17	mathematics	mathematic	NOUN
cana-3378	49	18	as	as	ADP
cana-3378	49	19	individual	individual	ADJ
cana-3378	49	20	entities	entity	NOUN
cana-3378	49	21	,	,	PUNCT
cana-3378	49	22	the	the	DET
cana-3378	49	23	present	present	ADJ
cana-3378	49	24	work	work	NOUN
cana-3378	49	25	aims	aim	VERB
cana-3378	49	26	at	at	ADP
cana-3378	49	27	displaying	display	VERB
cana-3378	49	28	and	and	CCONJ
cana-3378	49	29	highlighting	highlight	VERB
cana-3378	49	30	how	how	SCONJ
cana-3378	49	31	these	these	DET
cana-3378	49	32	different	different	ADJ
cana-3378	49	33	domains	domain	NOUN
cana-3378	49	34	can	can	AUX
cana-3378	49	35	be	be	AUX
cana-3378	49	36	applied	apply	VERB
cana-3378	49	37	jointly	jointly	ADV
cana-3378	49	38	and	and	CCONJ
cana-3378	49	39	in	in	ADP
cana-3378	49	40	turn	turn	NOUN
cana-3378	49	41	,	,	PUNCT
cana-3378	49	42	how	how	SCONJ
cana-3378	49	43	some	some	PRON
cana-3378	49	44	of	of	ADP
cana-3378	49	45	the	the	DET
cana-3378	49	46	current	current	ADJ
cana-3378	49	47	issues	issue	NOUN
cana-3378	49	48	in	in	ADP
cana-3378	49	49	computing	compute	VERB
cana-3378	49	50	,	,	PUNCT
cana-3378	49	51	such	such	ADJ
cana-3378	49	52	as	as	ADP
cana-3378	49	53	algorithms	algorithm	NOUN
cana-3378	49	54	,	,	PUNCT
cana-3378	49	55	graph	graph	NOUN
cana-3378	49	56	theory	theory	NOUN
cana-3378	49	57	,	,	PUNCT
cana-3378	49	58	and	and	CCONJ
cana-3378	49	59	combinatorics	combinatoric	NOUN
cana-3378	49	60	,	,	PUNCT
cana-3378	49	61	can	can	AUX
cana-3378	49	62	be	be	AUX
cana-3378	49	63	effectively	effectively	ADV
cana-3378	49	64	tackled	tackle	VERB
cana-3378	49	65	.	.	PUNCT
cana-3378	50	1	one	one	NUM
cana-3378	50	2	of	of	ADP
cana-3378	50	3	the	the	DET
cana-3378	50	4	intended	intend	VERB
cana-3378	50	5	contributions	contribution	NOUN
cana-3378	50	6	of	of	ADP
cana-3378	50	7	this	this	DET
cana-3378	50	8	paper	paper	NOUN
cana-3378	50	9	is	be	AUX
cana-3378	50	10	to	to	PART
cana-3378	50	11	present	present	VERB
cana-3378	50	12	a	a	DET
cana-3378	50	13	more	more	ADV
cana-3378	50	14	comprehensive	comprehensive	ADJ
cana-3378	50	15	view	view	NOUN
cana-3378	50	16	towards	towards	ADP
cana-3378	50	17	practicality	practicality	NOUN
cana-3378	50	18	of	of	ADP
cana-3378	50	19	discrete	discrete	ADJ
cana-3378	50	20	mathematics	mathematic	NOUN
cana-3378	50	21	in	in	ADP
cana-3378	50	22	every	every	DET
cana-3378	50	23	subfield	subfield	NOUN
cana-3378	50	24	of	of	ADP
cana-3378	50	25	computer	computer	NOUN
cana-3378	50	26	science	science	NOUN
cana-3378	50	27	.	.	PUNCT
cana-3378	51	1	this	this	PRON
cana-3378	51	2	is	be	AUX
cana-3378	51	3	not	not	PART
cana-3378	51	4	just	just	ADV
cana-3378	51	5	a	a	DET
cana-3378	51	6	book	book	NOUN
cana-3378	51	7	about	about	ADP
cana-3378	51	8	‘	'	PUNCT
cana-3378	51	9	the	the	DET
cana-3378	51	10	basics	basic	NOUN
cana-3378	51	11	’	'	PUNCT
cana-3378	51	12	in	in	ADP
cana-3378	51	13	algorithm	algorithm	NOUN
cana-3378	51	14	design	design	NOUN
cana-3378	51	15	,	,	PUNCT
cana-3378	51	16	graphs	graph	NOUN
cana-3378	51	17	,	,	PUNCT
cana-3378	51	18	and	and	CCONJ
cana-3378	51	19	data	datum	NOUN
cana-3378	51	20	structures	structure	NOUN
cana-3378	51	21	but	but	CCONJ
cana-3378	51	22	also	also	ADV
cana-3378	51	23	branches	branch	VERB
cana-3378	51	24	out	out	ADP
cana-3378	51	25	into	into	ADP
cana-3378	51	26	newer	new	ADJ
cana-3378	51	27	and	and	CCONJ
cana-3378	51	28	more	more	ADV
cana-3378	51	29	exciting	exciting	ADJ
cana-3378	51	30	fields	field	NOUN
cana-3378	51	31	of	of	ADP
cana-3378	51	32	machine	machine	NOUN
cana-3378	51	33	learning	learning	NOUN
cana-3378	51	34	,	,	PUNCT
cana-3378	51	35	artificial	artificial	ADJ
cana-3378	51	36	intelligence	intelligence	NOUN
cana-3378	51	37	,	,	PUNCT
cana-3378	51	38	and	and	CCONJ
cana-3378	51	39	cybersecurity	cybersecurity	NOUN
cana-3378	51	40	where	where	SCONJ
cana-3378	51	41	discrete	discrete	ADJ
cana-3378	51	42	mathematics	mathematics	NOUN
cana-3378	51	43	occupies	occupy	VERB
cana-3378	51	44	the	the	DET
cana-3378	51	45	center	center	ADJ
cana-3378	51	46	stage	stage	NOUN
cana-3378	51	47	.	.	PUNCT
cana-3378	52	1	thus	thus	ADV
cana-3378	52	2	,	,	PUNCT
cana-3378	52	3	together	together	ADV
cana-3378	52	4	with	with	ADP
cana-3378	52	5	examples	example	NOUN
cana-3378	52	6	of	of	ADP
cana-3378	52	7	problem	problem	NOUN
cana-3378	52	8	solving	solve	VERB
cana-3378	52	9	based	base	VERB
cana-3378	52	10	on	on	ADP
cana-3378	52	11	chosen	choose	VERB
cana-3378	52	12	foundational	foundational	ADJ
cana-3378	52	13	mathematical	mathematical	ADJ
cana-3378	52	14	concepts	concept	NOUN
cana-3378	52	15	in	in	ADP
cana-3378	52	16	these	these	DET
cana-3378	52	17	domains	domain	NOUN
cana-3378	52	18	,	,	PUNCT
cana-3378	52	19	this	this	DET
cana-3378	52	20	work	work	NOUN
cana-3378	52	21	gives	give	VERB
cana-3378	52	22	significant	significant	ADJ
cana-3378	52	23	vision	vision	NOUN
cana-3378	52	24	of	of	ADP
cana-3378	52	25	the	the	DET
cana-3378	52	26	way	way	NOUN
cana-3378	52	27	these	these	DET
cana-3378	52	28	concepts	concept	NOUN
cana-3378	52	29	are	be	AUX
cana-3378	52	30	applied	apply	VERB
cana-3378	52	31	in	in	ADP
cana-3378	52	32	real	real	ADJ
cana-3378	52	33	-	-	PUNCT
cana-3378	52	34	life	life	NOUN
cana-3378	52	35	problems	problem	NOUN
cana-3378	52	36	.	.	PUNCT
cana-3378	53	1	in	in	ADP
cana-3378	53	2	addition	addition	NOUN
cana-3378	53	3	,	,	PUNCT
cana-3378	53	4	the	the	DET
cana-3378	53	5	layout	layout	NOUN
cana-3378	53	6	of	of	ADP
cana-3378	53	7	the	the	DET
cana-3378	53	8	paper	paper	NOUN
cana-3378	53	9	revisits	revisit	VERB
cana-3378	53	10	methods	method	NOUN
cana-3378	53	11	for	for	ADP
cana-3378	53	12	improving	improve	VERB
cana-3378	53	13	performance	performance	NOUN
cana-3378	53	14	of	of	ADP
cana-3378	53	15	various	various	ADJ
cana-3378	53	16	graph	graph	NOUN
cana-3378	53	17	-	-	PUNCT
cana-3378	53	18	based	base	VERB
cana-3378	53	19	algorithms	algorithm	NOUN
cana-3378	53	20	through	through	ADP
cana-3378	53	21	the	the	DET
cana-3378	53	22	interconnection	interconnection	NOUN
cana-3378	53	23	of	of	ADP
cana-3378	53	24	graph	graph	NOUN
cana-3378	53	25	theory	theory	NOUN
cana-3378	53	26	with	with	ADP
cana-3378	53	27	prevalent	prevalent	ADJ
cana-3378	53	28	concepts	concept	NOUN
cana-3378	53	29	in	in	ADP
cana-3378	53	30	machine	machine	NOUN
cana-3378	53	31	learning	learning	NOUN
cana-3378	53	32	.	.	PUNCT
cana-3378	54	1	this	this	DET
cana-3378	54	2	approach	approach	NOUN
cana-3378	54	3	presents	present	VERB
cana-3378	54	4	new	new	ADJ
cana-3378	54	5	areas	area	NOUN
cana-3378	54	6	of	of	ADP
cana-3378	54	7	research	research	NOUN
cana-3378	54	8	in	in	ADP
cana-3378	54	9	the	the	DET
cana-3378	54	10	field	field	NOUN
cana-3378	54	11	of	of	ADP
cana-3378	54	12	network	network	NOUN
cana-3378	54	13	theory	theory	NOUN
cana-3378	54	14	,	,	PUNCT
cana-3378	54	15	optimal	optimal	ADJ
cana-3378	54	16	network	network	NOUN
cana-3378	54	17	structures	structure	NOUN
cana-3378	54	18	,	,	PUNCT
cana-3378	54	19	and	and	CCONJ
cana-3378	54	20	analysis	analysis	NOUN
cana-3378	54	21	of	of	ADP
cana-3378	54	22	social	social	ADJ
cana-3378	54	23	networks	network	NOUN
cana-3378	54	24	given	give	VERB
cana-3378	54	25	the	the	DET
cana-3378	54	26	recent	recent	ADJ
cana-3378	54	27	development	development	NOUN
cana-3378	54	28	in	in	ADP
cana-3378	54	29	the	the	DET
cana-3378	54	30	massive	massive	ADJ
cana-3378	54	31	amount	amount	NOUN
cana-3378	54	32	of	of	ADP
cana-3378	54	33	data	datum	NOUN
cana-3378	54	34	and	and	CCONJ
cana-3378	54	35	complicated	complicated	ADJ
cana-3378	54	36	network	network	NOUN
cana-3378	54	37	systems	system	NOUN
cana-3378	54	38	.	.	PUNCT
cana-3378	55	1	the	the	DET
cana-3378	55	2	paper	paper	NOUN
cana-3378	55	3	also	also	ADV
cana-3378	55	4	considers	consider	VERB
cana-3378	55	5	the	the	DET
cana-3378	55	6	limitations	limitation	NOUN
cana-3378	55	7	arising	arise	VERB
cana-3378	55	8	from	from	ADP
cana-3378	55	9	the	the	DET
cana-3378	55	10	analysis	analysis	NOUN
cana-3378	55	11	of	of	ADP
cana-3378	55	12	large	large	ADJ
cana-3378	55	13	data	datum	NOUN
cana-3378	55	14	sets	set	NOUN
cana-3378	55	15	and	and	CCONJ
cana-3378	55	16	computationally	computationally	ADV
cana-3378	55	17	intensive	intensive	ADJ
cana-3378	55	18	tasks	task	NOUN
cana-3378	55	19	,	,	PUNCT
cana-3378	55	20	thus	thus	ADV
cana-3378	55	21	proposing	propose	VERB
cana-3378	55	22	new	new	ADJ
cana-3378	55	23	algorithmic	algorithmic	ADJ
cana-3378	55	24	solutions	solution	NOUN
cana-3378	55	25	based	base	VERB
cana-3378	55	26	on	on	ADP
cana-3378	55	27	discrete	discrete	ADJ
cana-3378	55	28	mathematics	mathematic	NOUN
cana-3378	55	29	.	.	PUNCT
cana-3378	56	1	this	this	DET
cana-3378	56	2	work	work	NOUN
cana-3378	56	3	presents	present	VERB
cana-3378	56	4	new	new	ADJ
cana-3378	56	5	solutions	solution	NOUN
cana-3378	56	6	for	for	ADP
cana-3378	56	7	problems	problem	NOUN
cana-3378	56	8	that	that	PRON
cana-3378	56	9	occur	occur	VERB
cana-3378	56	10	in	in	ADP
cana-3378	56	11	distributed	distribute	VERB
cana-3378	56	12	systems	system	NOUN
cana-3378	56	13	,	,	PUNCT
cana-3378	56	14	cloud	cloud	NOUN
cana-3378	56	15	computing	computing	NOUN
cana-3378	56	16	,	,	PUNCT
cana-3378	56	17	and	and	CCONJ
cana-3378	56	18	dataintensive	dataintensive	ADJ
cana-3378	56	19	applications	application	NOUN
cana-3378	56	20	by	by	ADP
cana-3378	56	21	addressing	address	VERB
cana-3378	56	22	more	more	ADV
cana-3378	56	23	complex	complex	ADJ
cana-3378	56	24	issues	issue	NOUN
cana-3378	56	25	than	than	ADP
cana-3378	56	26	basic	basic	ADJ
cana-3378	56	27	algorithms	algorithm	NOUN
cana-3378	56	28	,	,	PUNCT
cana-3378	56	29	such	such	ADJ
cana-3378	56	30	as	as	ADP
cana-3378	56	31	randomized	randomized	ADJ
cana-3378	56	32	algorithms	algorithm	NOUN
cana-3378	56	33	,	,	PUNCT
cana-3378	56	34	network	network	NOUN
cana-3378	56	35	flow	flow	NOUN
cana-3378	56	36	algorithms	algorithm	NOUN
cana-3378	56	37	,	,	PUNCT
cana-3378	56	38	and	and	CCONJ
cana-3378	56	39	probabilistic	probabilistic	ADJ
cana-3378	56	40	methods	method	NOUN
cana-3378	56	41	.	.	PUNCT
cana-3378	57	1	finally	finally	ADV
cana-3378	57	2	,	,	PUNCT
cana-3378	57	3	the	the	DET
cana-3378	57	4	presentation	presentation	NOUN
cana-3378	57	5	of	of	ADP
cana-3378	57	6	the	the	DET
cana-3378	57	7	various	various	ADJ
cana-3378	57	8	applications	application	NOUN
cana-3378	57	9	of	of	ADP
cana-3378	57	10	cryptography	cryptography	NOUN
cana-3378	57	11	and	and	CCONJ
cana-3378	57	12	how	how	SCONJ
cana-3378	57	13	they	they	PRON
cana-3378	57	14	involve	involve	VERB
cana-3378	57	15	the	the	DET
cana-3378	57	16	use	use	NOUN
cana-3378	57	17	of	of	ADP
cana-3378	57	18	discrete	discrete	ADJ
cana-3378	57	19	mathematics	mathematic	NOUN
cana-3378	57	20	gives	give	VERB
cana-3378	57	21	a	a	DET
cana-3378	57	22	recent	recent	ADJ
cana-3378	57	23	input	input	NOUN
cana-3378	57	24	in	in	ADP
cana-3378	57	25	the	the	DET
cana-3378	57	26	aspect	aspect	NOUN
cana-3378	57	27	of	of	ADP
cana-3378	57	28	security	security	NOUN
cana-3378	57	29	.	.	PUNCT
cana-3378	58	1	considering	consider	VERB
cana-3378	58	2	the	the	DET
cana-3378	58	3	above	above	ADJ
cana-3378	58	4	facts	fact	NOUN
cana-3378	58	5	,	,	PUNCT
cana-3378	58	6	this	this	DET
cana-3378	58	7	paper	paper	NOUN
cana-3378	58	8	discusses	discuss	VERB
cana-3378	58	9	how	how	SCONJ
cana-3378	58	10	discrete	discrete	ADJ
cana-3378	58	11	structures	structure	NOUN
cana-3378	58	12	like	like	ADP
cana-3378	58	13	the	the	DET
cana-3378	58	14	number	number	NOUN
cana-3378	58	15	theory	theory	NOUN
cana-3378	58	16	system	system	NOUN
cana-3378	58	17	and	and	CCONJ
cana-3378	58	18	modular	modular	ADJ
cana-3378	58	19	arithmetic	arithmetic	NOUN
cana-3378	58	20	are	be	AUX
cana-3378	58	21	the	the	DET
cana-3378	58	22	foundations	foundation	NOUN
cana-3378	58	23	of	of	ADP
cana-3378	58	24	confidentiality	confidentiality	NOUN
cana-3378	58	25	measures	measure	NOUN
cana-3378	58	26	for	for	ADP
cana-3378	58	27	data	datum	NOUN
cana-3378	58	28	in	in	ADP
cana-3378	58	29	the	the	DET
cana-3378	58	30	modern	modern	ADJ
cana-3378	58	31	interconnected	interconnected	ADJ
cana-3378	58	32	world	world	NOUN
cana-3378	58	33	.	.	PUNCT
cana-3378	59	1	the	the	DET
cana-3378	59	2	present	present	ADJ
cana-3378	59	3	paper	paper	NOUN
cana-3378	59	4	benefits	benefit	VERB
cana-3378	59	5	the	the	DET
cana-3378	59	6	knowledge	knowledge	NOUN
cana-3378	59	7	of	of	ADP
cana-3378	59	8	discrete	discrete	ADJ
cana-3378	59	9	mathematics	mathematic	NOUN
cana-3378	59	10	in	in	ADP
cana-3378	59	11	computer	computer	NOUN
cana-3378	59	12	science	science	NOUN
cana-3378	59	13	by	by	ADP
cana-3378	59	14	presenting	present	VERB
cana-3378	59	15	a	a	DET
cana-3378	59	16	holistic	holistic	ADJ
cana-3378	59	17	and	and	CCONJ
cana-3378	59	18	systematic	systematic	ADJ
cana-3378	59	19	approach	approach	NOUN
cana-3378	59	20	to	to	PART
cana-3378	59	21	examine	examine	VERB
cana-3378	59	22	the	the	DET
cana-3378	59	23	practical	practical	ADJ
cana-3378	59	24	applications	application	NOUN
cana-3378	59	25	of	of	ADP
cana-3378	59	26	the	the	DET
cana-3378	59	27	subject	subject	NOUN
cana-3378	59	28	together	together	ADV
cana-3378	59	29	with	with	ADP
cana-3378	59	30	its	its	PRON
cana-3378	59	31	relevance	relevance	NOUN
cana-3378	59	32	to	to	ADP
cana-3378	59	33	the	the	DET
cana-3378	59	34	modern	modern	NOUN
cana-3378	59	35	as	as	ADV
cana-3378	59	36	well	well	ADV
cana-3378	59	37	as	as	ADP
cana-3378	59	38	nascent	nascent	ADJ
cana-3378	59	39	advancements	advancement	NOUN
cana-3378	59	40	in	in	ADP
cana-3378	59	41	the	the	DET
cana-3378	59	42	field	field	NOUN
cana-3378	59	43	.	.	PUNCT
cana-3378	60	1	section	section	NOUN
cana-3378	60	2	2	2	NUM
cana-3378	60	3	provides	provide	VERB
cana-3378	60	4	a	a	DET
cana-3378	60	5	review	review	NOUN
cana-3378	60	6	of	of	ADP
cana-3378	60	7	relevant	relevant	ADJ
cana-3378	60	8	literature	literature	NOUN
cana-3378	60	9	,	,	PUNCT
cana-3378	60	10	while	while	SCONJ
cana-3378	60	11	section	section	NOUN
cana-3378	60	12	3	3	NUM
cana-3378	60	13	details	detail	NOUN
cana-3378	60	14	the	the	DET
cana-3378	60	15	methodology	methodology	NOUN
cana-3378	60	16	proposed	propose	VERB
cana-3378	60	17	in	in	ADP
cana-3378	60	18	this	this	DET
cana-3378	60	19	study	study	NOUN
cana-3378	60	20	.	.	PUNCT
cana-3378	61	1	section	section	NOUN
cana-3378	61	2	4	4	NUM
cana-3378	61	3	presents	present	VERB
cana-3378	61	4	the	the	DET
cana-3378	61	5	results	result	NOUN
cana-3378	61	6	and	and	CCONJ
cana-3378	61	7	their	their	PRON
cana-3378	61	8	applications	application	NOUN
cana-3378	61	9	,	,	PUNCT
cana-3378	61	10	and	and	CCONJ
cana-3378	61	11	section	section	NOUN
cana-3378	61	12	5	5	NUM
cana-3378	61	13	offers	offer	VERB
cana-3378	61	14	personal	personal	ADJ
cana-3378	61	15	insights	insight	NOUN
cana-3378	61	16	and	and	CCONJ
cana-3378	61	17	suggestions	suggestion	NOUN
cana-3378	61	18	for	for	ADP
cana-3378	61	19	future	future	ADJ
cana-3378	61	20	research	research	NOUN
cana-3378	61	21	.	.	PUNCT
cana-3378	62	1	i.	i.	PROPN
cana-3378	62	2	related	relate	VERB
cana-3378	62	3	works	work	NOUN
cana-3378	62	4	discrete	discrete	ADJ
cana-3378	62	5	mathematics	mathematic	NOUN
cana-3378	62	6	is	be	AUX
cana-3378	62	7	the	the	DET
cana-3378	62	8	basis	basis	NOUN
cana-3378	62	9	of	of	ADP
cana-3378	62	10	computer	computer	NOUN
cana-3378	62	11	science	science	NOUN
cana-3378	62	12	as	as	SCONJ
cana-3378	62	13	it	it	PRON
cana-3378	62	14	applies	apply	VERB
cana-3378	62	15	to	to	ADP
cana-3378	62	16	such	such	ADJ
cana-3378	62	17	programs	program	NOUN
cana-3378	62	18	as	as	ADP
cana-3378	62	19	algorithms	algorithm	NOUN
cana-3378	62	20	,	,	PUNCT
cana-3378	62	21	graphs	graph	NOUN
cana-3378	62	22	,	,	PUNCT
cana-3378	62	23	cryptography	cryptography	NOUN
cana-3378	62	24	,	,	PUNCT
cana-3378	62	25	and	and	CCONJ
cana-3378	62	26	complexity	complexity	NOUN
cana-3378	62	27	.	.	PUNCT
cana-3378	63	1	problem	problem	NOUN
cana-3378	63	2	solving	solving	NOUN
cana-3378	63	3	,	,	PUNCT
cana-3378	63	4	optimization	optimization	NOUN
cana-3378	63	5	and	and	CCONJ
cana-3378	63	6	the	the	DET
cana-3378	63	7	creation	creation	NOUN
cana-3378	63	8	of	of	ADP
cana-3378	63	9	effective	effective	ADJ
cana-3378	63	10	systems	system	NOUN
cana-3378	63	11	is	be	AUX
cana-3378	63	12	made	make	VERB
cana-3378	63	13	easy	easy	ADJ
cana-3378	63	14	by	by	ADP
cana-3378	63	15	it	it	PRON
cana-3378	63	16	.	.	PUNCT
cana-3378	64	1	a.	a.	NOUN
cana-3378	64	2	algorithms	algorithm	NOUN
cana-3378	64	3	and	and	CCONJ
cana-3378	64	4	optimization	optimization	NOUN
cana-3378	64	5	communications	communication	NOUN
cana-3378	64	6	on	on	ADP
cana-3378	64	7	applied	apply	VERB
cana-3378	64	8	nonlinear	nonlinear	ADJ
cana-3378	64	9	analysis	analysis	NOUN
cana-3378	64	10	issn	issn	NOUN
cana-3378	64	11	:	:	PUNCT
cana-3378	64	12	1074	1074	NUM
cana-3378	64	13	-	-	PUNCT
cana-3378	64	14	133x	133x	NUM
cana-3378	64	15	vol	vol	NOUN
cana-3378	64	16	32	32	NUM
cana-3378	64	17	no	no	NOUN
cana-3378	64	18	.	.	PUNCT
cana-3378	65	1	7s	7	NOUN
cana-3378	65	2	(	(	PUNCT
cana-3378	65	3	2025	2025	NUM
cana-3378	65	4	)	)	PUNCT
cana-3378	65	5	213	213	NUM
cana-3378	65	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	65	7	in	in	ADP
cana-3378	65	8	1983	1983	NUM
cana-3378	65	9	aho	aho	NOUN
cana-3378	65	10	,	,	PUNCT
cana-3378	65	11	a.	a.	NOUN
cana-3378	65	12	v.	v.	ADP
cana-3378	65	13	et.al	et.al	PROPN
cana-3378	65	14	.	.	PROPN
cana-3378	65	15	,	,	PUNCT
cana-3378	65	16	ullman	ullman	PROPN
cana-3378	65	17	,	,	PUNCT
cana-3378	65	18	j.	j.	PROPN
cana-3378	65	19	d.	d.	PROPN
cana-3378	65	20	et.al	et.al	PROPN
cana-3378	65	21	.	.	PUNCT
cana-3378	66	1	[	[	X
cana-3378	66	2	8	8	NUM
cana-3378	66	3	]	]	PUNCT
cana-3378	66	4	introduce	introduce	VERB
cana-3378	66	5	the	the	DET
cana-3378	66	6	discrete	discrete	ADJ
cana-3378	66	7	structures	structure	NOUN
cana-3378	66	8	like	like	ADP
cana-3378	66	9	sets	set	NOUN
cana-3378	66	10	and	and	CCONJ
cana-3378	66	11	relations	relation	NOUN
cana-3378	66	12	are	be	AUX
cana-3378	66	13	key	key	ADJ
cana-3378	66	14	factors	factor	NOUN
cana-3378	66	15	because	because	SCONJ
cana-3378	66	16	many	many	ADJ
cana-3378	66	17	algorithms	algorithm	NOUN
cana-3378	66	18	extract	extract	VERB
cana-3378	66	19	the	the	DET
cana-3378	66	20	large	large	ADJ
cana-3378	66	21	data	data	NOUN
cana-3378	66	22	sets	set	NOUN
cana-3378	66	23	.	.	PUNCT
cana-3378	67	1	probabilistic	probabilistic	ADJ
cana-3378	67	2	methods	method	NOUN
cana-3378	67	3	enhance	enhance	VERB
cana-3378	67	4	resource	resource	NOUN
cana-3378	67	5	utilization	utilization	NOUN
cana-3378	67	6	and	and	CCONJ
cana-3378	67	7	enhance	enhance	VERB
cana-3378	67	8	data	datum	NOUN
cana-3378	67	9	organization	organization	NOUN
cana-3378	67	10	,	,	PUNCT
cana-3378	67	11	increasing	increase	VERB
cana-3378	67	12	the	the	DET
cana-3378	67	13	rate	rate	NOUN
cana-3378	67	14	of	of	ADP
cana-3378	67	15	operation	operation	NOUN
cana-3378	67	16	of	of	ADP
cana-3378	67	17	systems	system	NOUN
cana-3378	67	18	in	in	ADP
cana-3378	67	19	domains	domain	NOUN
cana-3378	67	20	like	like	VERB
cana-3378	67	21	;	;	PUNCT
cana-3378	67	22	search	search	NOUN
cana-3378	67	23	engines	engine	NOUN
cana-3378	67	24	and	and	CCONJ
cana-3378	67	25	scheduling	scheduling	NOUN
cana-3378	67	26	[	[	X
cana-3378	67	27	14	14	NUM
cana-3378	67	28	]	]	PUNCT
cana-3378	67	29	.	.	PUNCT
cana-3378	68	1	b.	b.	PROPN
cana-3378	68	2	graph	graph	NOUN
cana-3378	68	3	theory	theory	NOUN
cana-3378	68	4	applications	application	NOUN
cana-3378	68	5	according	accord	VERB
cana-3378	68	6	to	to	ADP
cana-3378	68	7	vazirani	vazirani	NOUN
cana-3378	68	8	,	,	PUNCT
cana-3378	69	1	v.	v.	CCONJ
cana-3378	70	1	v.	v.	ADP
cana-3378	70	2	et.al	et.al	PROPN
cana-3378	71	1	[	[	X
cana-3378	71	2	9	9	NUM
cana-3378	71	3	]	]	PUNCT
cana-3378	71	4	in	in	ADP
cana-3378	71	5	2001	2001	NUM
cana-3378	71	6	this	this	DET
cana-3378	71	7	graph	graph	NOUN
cana-3378	71	8	theory	theory	NOUN
cana-3378	71	9	is	be	AUX
cana-3378	71	10	used	use	VERB
cana-3378	71	11	in	in	ADP
cana-3378	71	12	the	the	DET
cana-3378	71	13	study	study	NOUN
cana-3378	71	14	of	of	ADP
cana-3378	71	15	networks	network	NOUN
cana-3378	71	16	and	and	CCONJ
cana-3378	71	17	their	their	PRON
cana-3378	71	18	interconnectivity	interconnectivity	NOUN
cana-3378	71	19	in	in	ADP
cana-3378	71	20	such	such	ADJ
cana-3378	71	21	areas	area	NOUN
cana-3378	71	22	as	as	ADP
cana-3378	71	23	social	social	ADJ
cana-3378	71	24	networks	network	NOUN
cana-3378	71	25	,	,	PUNCT
cana-3378	71	26	transportation	transportation	NOUN
cana-3378	71	27	,	,	PUNCT
cana-3378	71	28	and	and	CCONJ
cana-3378	71	29	telecommunication	telecommunication	NOUN
cana-3378	71	30	.	.	PUNCT
cana-3378	72	1	algorithms	algorithm	NOUN
cana-3378	72	2	like	like	ADP
cana-3378	72	3	dijkstra	dijkstra	PROPN
cana-3378	72	4	’s	’s	NOUN
cana-3378	72	5	and	and	CCONJ
cana-3378	72	6	graph	graph	VERB
cana-3378	72	7	neural	neural	ADJ
cana-3378	72	8	networks	network	NOUN
cana-3378	72	9	help	help	AUX
cana-3378	72	10	ponder	ponder	VERB
cana-3378	72	11	the	the	DET
cana-3378	72	12	intent	intent	NOUN
cana-3378	72	13	of	of	ADP
cana-3378	72	14	furthering	further	VERB
cana-3378	72	15	work	work	NOUN
cana-3378	72	16	in	in	ADP
cana-3378	72	17	network	network	NOUN
cana-3378	72	18	analysis	analysis	NOUN
cana-3378	72	19	,	,	PUNCT
cana-3378	72	20	bioinformatics	bioinformatics	NOUN
cana-3378	72	21	,	,	PUNCT
cana-3378	72	22	and	and	CCONJ
cana-3378	72	23	fraud	fraud	NOUN
cana-3378	72	24	detection	detection	NOUN
cana-3378	72	25	[	[	X
cana-3378	72	26	18	18	NUM
cana-3378	72	27	]	]	PUNCT
cana-3378	72	28	.	.	PUNCT
cana-3378	73	1	c.	c.	PROPN
cana-3378	73	2	cryptography	cryptography	NOUN
cana-3378	73	3	and	and	CCONJ
cana-3378	73	4	security	security	NOUN
cana-3378	73	5	discrete	discrete	ADJ
cana-3378	73	6	mathematics	mathematic	NOUN
cana-3378	73	7	is	be	AUX
cana-3378	73	8	used	use	VERB
cana-3378	73	9	in	in	ADP
cana-3378	73	10	cryptography	cryptography	NOUN
cana-3378	73	11	,	,	PUNCT
cana-3378	73	12	rsa	rsa	PROPN
cana-3378	73	13	example	example	PROPN
cana-3378	73	14	&	&	CCONJ
cana-3378	73	15	elliptic	elliptic	ADJ
cana-3378	73	16	curve	curve	NOUN
cana-3378	73	17	cryptography	cryptography	NOUN
cana-3378	73	18	.	.	PUNCT
cana-3378	74	1	recent	recent	ADJ
cana-3378	74	2	research	research	NOUN
cana-3378	74	3	directions	direction	NOUN
cana-3378	74	4	are	be	AUX
cana-3378	74	5	put	put	VERB
cana-3378	74	6	on	on	ADP
cana-3378	74	7	enhancing	enhance	VERB
cana-3378	74	8	encryption	encryption	NOUN
cana-3378	74	9	mechanisms	mechanism	NOUN
cana-3378	74	10	since	since	SCONJ
cana-3378	74	11	string	string	NOUN
cana-3378	74	12	security	security	NOUN
cana-3378	74	13	threats	threat	NOUN
cana-3378	74	14	.	.	PUNCT
cana-3378	75	1	d.	d.	PROPN
cana-3378	75	2	computational	computational	ADJ
cana-3378	75	3	complexity	complexity	NOUN
cana-3378	75	4	in	in	ADP
cana-3378	75	5	1998	1998	NUM
cana-3378	75	6	papadimitriou	papadimitriou	NOUN
cana-3378	75	7	,	,	PUNCT
cana-3378	75	8	c.	c.	PROPN
cana-3378	75	9	h.	h.	PROPN
cana-3378	75	10	et.al	et.al	PROPN
cana-3378	75	11	&	&	CCONJ
cana-3378	75	12	steiglitz	steiglitz	PROPN
cana-3378	75	13	,	,	PUNCT
cana-3378	75	14	k.	k.	PROPN
cana-3378	75	15	et.al	et.al	PROPN
cana-3378	76	1	[	[	X
cana-3378	76	2	4	4	NUM
cana-3378	76	3	]	]	PUNCT
cana-3378	76	4	introduce	introduce	VERB
cana-3378	76	5	the	the	DET
cana-3378	76	6	classifying	classify	VERB
cana-3378	76	7	problems	problem	NOUN
cana-3378	76	8	(	(	PUNCT
cana-3378	76	9	e.g.	e.g.	ADV
cana-3378	76	10	,	,	PUNCT
cana-3378	76	11	p	p	X
cana-3378	76	12	,	,	PUNCT
cana-3378	76	13	np	np	INTJ
cana-3378	76	14	)	)	PUNCT
cana-3378	76	15	,	,	PUNCT
cana-3378	76	16	based	base	VERB
cana-3378	76	17	discrete	discrete	ADJ
cana-3378	76	18	mathematics	mathematic	NOUN
cana-3378	76	19	offer	offer	VERB
cana-3378	76	20	methodologies	methodology	NOUN
cana-3378	76	21	to	to	PART
cana-3378	76	22	solve	solve	VERB
cana-3378	76	23	complex	complex	ADJ
cana-3378	76	24	problems	problem	NOUN
cana-3378	76	25	through	through	ADP
cana-3378	76	26	approximation	approximation	NOUN
cana-3378	76	27	and	and	CCONJ
cana-3378	76	28	heuristics	heuristic	NOUN
cana-3378	76	29	that	that	PRON
cana-3378	76	30	are	be	AUX
cana-3378	76	31	crucial	crucial	ADJ
cana-3378	76	32	in	in	ADP
cana-3378	76	33	optimization	optimization	NOUN
cana-3378	76	34	.	.	PUNCT
cana-3378	77	1	e.	e.	PROPN
cana-3378	77	2	integration	integration	NOUN
cana-3378	77	3	to	to	ADP
cana-3378	77	4	machine	machine	NOUN
cana-3378	77	5	learning	learn	VERB
cana-3378	77	6	the	the	DET
cana-3378	77	7	mathematical	mathematical	ADJ
cana-3378	77	8	methods	method	NOUN
cana-3378	77	9	complement	complement	VERB
cana-3378	77	10	machine	machine	NOUN
cana-3378	77	11	learning	learning	NOUN
cana-3378	77	12	because	because	SCONJ
cana-3378	77	13	the	the	DET
cana-3378	77	14	former	former	ADJ
cana-3378	77	15	refines	refine	VERB
cana-3378	77	16	the	the	DET
cana-3378	77	17	algorithm	algorithm	NOUN
cana-3378	77	18	,	,	PUNCT
cana-3378	77	19	increases	increase	VERB
cana-3378	77	20	speed	speed	NOUN
cana-3378	77	21	of	of	ADP
cana-3378	77	22	the	the	DET
cana-3378	77	23	model	model	NOUN
cana-3378	77	24	,	,	PUNCT
cana-3378	77	25	and	and	CCONJ
cana-3378	77	26	adds	add	VERB
cana-3378	77	27	fairness	fairness	NOUN
cana-3378	77	28	and	and	CCONJ
cana-3378	77	29	transparency	transparency	NOUN
cana-3378	77	30	.	.	PUNCT
cana-3378	78	1	f.	f.	PROPN
cana-3378	78	2	distributed	distribute	VERB
cana-3378	78	3	systems	system	NOUN
cana-3378	78	4	and	and	CCONJ
cana-3378	78	5	automata	automata	NOUN
cana-3378	78	6	theory	theory	NOUN
cana-3378	78	7	graph	graph	NOUN
cana-3378	78	8	computations	computation	NOUN
cana-3378	78	9	and	and	CCONJ
cana-3378	78	10	their	their	PRON
cana-3378	78	11	algorithms	algorithm	NOUN
cana-3378	78	12	enhance	enhance	VERB
cana-3378	78	13	distributed	distribute	VERB
cana-3378	78	14	scheduling	scheduling	NOUN
cana-3378	78	15	,	,	PUNCT
cana-3378	78	16	resource	resource	NOUN
cana-3378	78	17	control	control	NOUN
cana-3378	78	18	,	,	PUNCT
cana-3378	78	19	and	and	CCONJ
cana-3378	78	20	information	information	NOUN
cana-3378	78	21	communication	communication	NOUN
cana-3378	78	22	.	.	PUNCT
cana-3378	79	1	thus	thus	ADV
cana-3378	79	2	,	,	PUNCT
cana-3378	79	3	automata	automata	NOUN
cana-3378	79	4	theory	theory	NOUN
cana-3378	79	5	and	and	CCONJ
cana-3378	79	6	formal	formal	ADJ
cana-3378	79	7	languages	language	NOUN
cana-3378	79	8	improve	improve	VERB
cana-3378	79	9	the	the	DET
cana-3378	79	10	functions	function	NOUN
cana-3378	79	11	of	of	ADP
cana-3378	79	12	an	an	DET
cana-3378	79	13	efficient	efficient	ADJ
cana-3378	79	14	compiler	compiler	NOUN
cana-3378	79	15	and	and	CCONJ
cana-3378	79	16	an	an	DET
cana-3378	79	17	algorithm	algorithm	NOUN
cana-3378	79	18	in	in	ADP
cana-3378	79	19	text	text	NOUN
cana-3378	79	20	processing	processing	NOUN
cana-3378	79	21	[	[	X
cana-3378	79	22	20	20	NUM
cana-3378	79	23	]	]	PUNCT
cana-3378	79	24	.	.	PUNCT
cana-3378	80	1	ii	ii	PROPN
cana-3378	80	2	.	.	PROPN
cana-3378	80	3	proposed	propose	VERB
cana-3378	80	4	methodology	methodology	NOUN
cana-3378	80	5	the	the	DET
cana-3378	80	6	research	research	NOUN
cana-3378	80	7	method	method	NOUN
cana-3378	80	8	outlined	outline	VERB
cana-3378	80	9	here	here	ADV
cana-3378	80	10	will	will	AUX
cana-3378	80	11	seek	seek	VERB
cana-3378	80	12	to	to	PART
cana-3378	80	13	incorporate	incorporate	VERB
cana-3378	80	14	discrete	discrete	ADJ
cana-3378	80	15	mathematical	mathematical	ADJ
cana-3378	80	16	methods	method	NOUN
cana-3378	80	17	as	as	ADV
cana-3378	80	18	well	well	ADV
cana-3378	80	19	as	as	ADP
cana-3378	80	20	graph	graph	NOUN
cana-3378	80	21	theory	theory	NOUN
cana-3378	80	22	and	and	CCONJ
cana-3378	80	23	algorithmic	algorithmic	ADJ
cana-3378	80	24	optimization	optimization	NOUN
cana-3378	80	25	as	as	ADV
cana-3378	80	26	far	far	ADV
cana-3378	80	27	as	as	SCONJ
cana-3378	80	28	computer	computer	NOUN
cana-3378	80	29	science	science	NOUN
cana-3378	80	30	problems	problem	NOUN
cana-3378	80	31	are	be	AUX
cana-3378	80	32	concerned	concern	VERB
cana-3378	80	33	coupled	couple	VERB
cana-3378	80	34	with	with	ADP
cana-3378	80	35	the	the	DET
cana-3378	80	36	application	application	NOUN
cana-3378	80	37	of	of	ADP
cana-3378	80	38	state	state	NOUN
cana-3378	80	39	-	-	PUNCT
cana-3378	80	40	of	of	ADP
cana-3378	80	41	-	-	PUNCT
cana-3378	80	42	the	the	DET
cana-3378	80	43	-	-	PUNCT
cana-3378	80	44	art	art	NOUN
cana-3378	80	45	machine	machine	NOUN
cana-3378	80	46	learning	learning	NOUN
cana-3378	80	47	models	model	NOUN
cana-3378	80	48	.	.	PUNCT
cana-3378	81	1	a	a	DET
cana-3378	81	2	proposed	propose	VERB
cana-3378	81	3	methodology	methodology	NOUN
cana-3378	81	4	on	on	ADP
cana-3378	81	5	enhancing	enhance	VERB
cana-3378	81	6	the	the	DET
cana-3378	81	7	efficiency	efficiency	NOUN
cana-3378	81	8	of	of	ADP
cana-3378	81	9	intrusion	intrusion	NOUN
cana-3378	81	10	detection	detection	NOUN
cana-3378	81	11	systems	system	NOUN
cana-3378	81	12	(	(	PUNCT
cana-3378	81	13	ids	id	NOUN
cana-3378	81	14	)	)	PUNCT
cana-3378	81	15	,	,	PUNCT
cana-3378	81	16	especially	especially	ADV
cana-3378	81	17	in	in	ADP
cana-3378	81	18	the	the	DET
cana-3378	81	19	vast	vast	ADJ
cana-3378	81	20	networks	network	NOUN
cana-3378	81	21	,	,	PUNCT
cana-3378	81	22	is	be	AUX
cana-3378	81	23	based	base	VERB
cana-3378	81	24	on	on	ADP
cana-3378	81	25	the	the	DET
cana-3378	81	26	hybrid	hybrid	NOUN
cana-3378	81	27	of	of	ADP
cana-3378	81	28	evolutionary	evolutionary	ADJ
cana-3378	81	29	optimization	optimization	NOUN
cana-3378	81	30	techniques	technique	NOUN
cana-3378	81	31	coupled	couple	VERB
cana-3378	81	32	with	with	ADP
cana-3378	81	33	deep	deep	ADJ
cana-3378	81	34	learning	learning	NOUN
cana-3378	81	35	models	model	NOUN
cana-3378	81	36	.	.	PUNCT
cana-3378	82	1	the	the	DET
cana-3378	82	2	general	general	ADJ
cana-3378	82	3	research	research	NOUN
cana-3378	82	4	framework	framework	NOUN
cana-3378	82	5	is	be	AUX
cana-3378	82	6	rather	rather	ADV
cana-3378	82	7	rigorous	rigorous	ADJ
cana-3378	82	8	allowing	allowing	NOUN
cana-3378	82	9	for	for	ADP
cana-3378	82	10	data	datum	NOUN
cana-3378	82	11	gathering	gathering	NOUN
cana-3378	82	12	,	,	PUNCT
cana-3378	82	13	data	datum	NOUN
cana-3378	82	14	cleaning	cleaning	NOUN
cana-3378	82	15	,	,	PUNCT
cana-3378	82	16	data	datum	NOUN
cana-3378	82	17	transformation	transformation	NOUN
cana-3378	82	18	,	,	PUNCT
cana-3378	82	19	and	and	CCONJ
cana-3378	82	20	data	datum	NOUN
cana-3378	82	21	analysis	analysis	NOUN
cana-3378	82	22	.	.	PUNCT
cana-3378	83	1	step	step	NOUN
cana-3378	83	2	1	1	NUM
cana-3378	83	3	:	:	PUNCT
cana-3378	83	4	data	datum	NOUN
cana-3378	83	5	collection	collection	NOUN
cana-3378	83	6	and	and	CCONJ
cana-3378	83	7	preprocessing	preprocesse	VERB
cana-3378	83	8	the	the	DET
cana-3378	83	9	first	first	ADJ
cana-3378	83	10	of	of	ADP
cana-3378	83	11	the	the	DET
cana-3378	83	12	steps	step	NOUN
cana-3378	83	13	in	in	ADP
cana-3378	83	14	the	the	DET
cana-3378	83	15	proposed	propose	VERB
cana-3378	83	16	methodology	methodology	NOUN
cana-3378	83	17	involves	involve	VERB
cana-3378	83	18	the	the	DET
cana-3378	83	19	acquisition	acquisition	NOUN
cana-3378	83	20	of	of	ADP
cana-3378	83	21	network	network	NOUN
cana-3378	83	22	traffic	traffic	NOUN
cana-3378	83	23	data	datum	NOUN
cana-3378	83	24	that	that	PRON
cana-3378	83	25	forms	form	VERB
cana-3378	83	26	the	the	DET
cana-3378	83	27	input	input	NOUN
cana-3378	83	28	to	to	ADP
cana-3378	83	29	the	the	DET
cana-3378	83	30	ids	id	NOUN
cana-3378	83	31	.	.	PUNCT
cana-3378	84	1	information	information	NOUN
cana-3378	84	2	gathered	gather	VERB
cana-3378	84	3	is	be	AUX
cana-3378	84	4	from	from	ADP
cana-3378	84	5	network	network	NOUN
cana-3378	84	6	source	source	NOUN
cana-3378	84	7	traffic	traffic	NOUN
cana-3378	84	8	,	,	PUNCT
cana-3378	84	9	server	server	NOUN
cana-3378	84	10	traffic	traffic	NOUN
cana-3378	84	11	and	and	CCONJ
cana-3378	84	12	continuous	continuous	ADJ
cana-3378	84	13	observation	observation	NOUN
cana-3378	84	14	of	of	ADP
cana-3378	84	15	the	the	DET
cana-3378	84	16	daily	daily	ADJ
cana-3378	84	17	traffic	traffic	NOUN
cana-3378	84	18	activities	activity	NOUN
cana-3378	84	19	of	of	ADP
cana-3378	84	20	the	the	DET
cana-3378	84	21	network	network	NOUN
cana-3378	84	22	.	.	PUNCT
cana-3378	85	1	the	the	DET
cana-3378	85	2	data	datum	NOUN
cana-3378	85	3	collected	collect	VERB
cana-3378	85	4	is	be	AUX
cana-3378	85	5	generally	generally	ADV
cana-3378	85	6	noisy	noisy	ADJ
cana-3378	85	7	and	and	CCONJ
cana-3378	85	8	is	be	AUX
cana-3378	85	9	filled	fill	VERB
cana-3378	85	10	with	with	ADP
cana-3378	85	11	irrelevant	irrelevant	ADJ
cana-3378	85	12	details	detail	NOUN
cana-3378	85	13	which	which	PRON
cana-3378	85	14	require	require	VERB
cana-3378	85	15	further	further	ADJ
cana-3378	85	16	input	input	NOUN
cana-3378	85	17	processing	processing	NOUN
cana-3378	85	18	[	[	X
cana-3378	85	19	21	21	NUM
cana-3378	85	20	-	-	SYM
cana-3378	85	21	23	23	NUM
cana-3378	85	22	]	]	PUNCT
cana-3378	85	23	.	.	PUNCT
cana-3378	86	1	communications	communication	NOUN
cana-3378	86	2	on	on	ADP
cana-3378	86	3	applied	apply	VERB
cana-3378	86	4	nonlinear	nonlinear	ADJ
cana-3378	86	5	analysis	analysis	NOUN
cana-3378	86	6	issn	issn	NOUN
cana-3378	86	7	:	:	PUNCT
cana-3378	86	8	1074	1074	NUM
cana-3378	86	9	-	-	PUNCT
cana-3378	86	10	133x	133x	NUM
cana-3378	86	11	vol	vol	NOUN
cana-3378	86	12	32	32	NUM
cana-3378	86	13	no	no	NOUN
cana-3378	86	14	.	.	PUNCT
cana-3378	87	1	7s	7	NOUN
cana-3378	87	2	(	(	PUNCT
cana-3378	87	3	2025	2025	NUM
cana-3378	87	4	)	)	PUNCT
cana-3378	87	5	214	214	NUM
cana-3378	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	87	7	during	during	ADP
cana-3378	87	8	the	the	DET
cana-3378	87	9	data	datum	NOUN
cana-3378	87	10	cleaning	cleaning	NOUN
cana-3378	87	11	phase	phase	NOUN
cana-3378	87	12	of	of	ADP
cana-3378	87	13	the	the	DET
cana-3378	87	14	preprocessing	preprocessing	NOUN
cana-3378	87	15	phase	phase	NOUN
cana-3378	87	16	,	,	PUNCT
cana-3378	87	17	the	the	DET
cana-3378	87	18	data	data	NOUN
cana-3378	87	19	is	be	AUX
cana-3378	87	20	cleaned	clean	VERB
cana-3378	87	21	and	and	CCONJ
cana-3378	87	22	standardized	standardize	VERB
cana-3378	87	23	in	in	ADP
cana-3378	87	24	a	a	DET
cana-3378	87	25	way	way	NOUN
cana-3378	87	26	that	that	PRON
cana-3378	87	27	i	i	PRON
cana-3378	87	28	am	be	AUX
cana-3378	87	29	explaining	explain	VERB
cana-3378	87	30	below	below	ADV
cana-3378	87	31	:	:	PUNCT
cana-3378	87	32	to	to	PART
cana-3378	87	33	proceed	proceed	VERB
cana-3378	87	34	with	with	ADP
cana-3378	87	35	feature	feature	NOUN
cana-3378	87	36	selection	selection	NOUN
cana-3378	87	37	and	and	CCONJ
cana-3378	87	38	to	to	PART
cana-3378	87	39	also	also	ADV
cana-3378	87	40	feed	feed	VERB
cana-3378	87	41	the	the	DET
cana-3378	87	42	models	model	NOUN
cana-3378	87	43	,	,	PUNCT
cana-3378	87	44	feature	feature	VERB
cana-3378	87	45	scaling	scale	VERB
cana-3378	87	46	and	and	CCONJ
cana-3378	87	47	encoding	encoding	NOUN
cana-3378	87	48	steps	step	NOUN
cana-3378	87	49	are	be	AUX
cana-3378	87	50	carried	carry	VERB
cana-3378	87	51	out	out	ADP
cana-3378	87	52	.	.	PUNCT
cana-3378	88	1	at	at	ADP
cana-3378	88	2	this	this	DET
cana-3378	88	3	stage	stage	NOUN
cana-3378	88	4	min	min	PROPN
cana-3378	88	5	-	-	ADJ
cana-3378	88	6	max	max	PROPN
cana-3378	88	7	normalization	normalization	NOUN
cana-3378	88	8	and	and	CCONJ
cana-3378	88	9	one	one	NUM
cana-3378	88	10	hot	hot	ADJ
cana-3378	88	11	coding	coding	NOUN
cana-3378	88	12	is	be	AUX
cana-3378	88	13	used	use	VERB
cana-3378	88	14	wherever	wherever	SCONJ
cana-3378	88	15	there	there	PRON
cana-3378	88	16	is	be	VERB
cana-3378	88	17	raw	raw	ADJ
cana-3378	88	18	numerical	numerical	ADJ
cana-3378	88	19	or	or	CCONJ
cana-3378	88	20	categorical	categorical	ADJ
cana-3378	88	21	data	datum	NOUN
cana-3378	88	22	for	for	ADP
cana-3378	88	23	normalizing	normalize	VERB
cana-3378	88	24	it	it	PRON
cana-3378	88	25	.	.	PUNCT
cana-3378	89	1	the	the	DET
cana-3378	89	2	mathematical	mathematical	ADJ
cana-3378	89	3	model	model	NOUN
cana-3378	89	4	for	for	ADP
cana-3378	89	5	normalization	normalization	NOUN
cana-3378	89	6	can	can	AUX
cana-3378	89	7	be	be	AUX
cana-3378	89	8	represented	represent	VERB
cana-3378	89	9	by	by	ADP
cana-3378	89	10	the	the	DET
cana-3378	89	11	following	follow	VERB
cana-3378	89	12	equation	equation	NOUN
cana-3378	89	13	:	:	PUNCT
cana-3378	90	1	𝑋morma	𝑋morma	PROPN
cana-3378	90	2	−	−	PROPN
cana-3378	90	3	𝑋	𝑋	PROPN
cana-3378	90	4	−	−	PROPN
cana-3378	90	5	𝑋min	𝑋min	PROPN
cana-3378	90	6	𝑋max	𝑋max	PROPN
cana-3378	90	7	−	−	PROPN
cana-3378	91	1	𝑋min	𝑋min	PROPN
cana-3378	91	2	where	where	SCONJ
cana-3378	91	3	:	:	PUNCT
cana-3378	91	4	•	•	NUM
cana-3378	91	5	𝑋norm	𝑋norm	PROPN
cana-3378	91	6	is	be	AUX
cana-3378	91	7	the	the	DET
cana-3378	91	8	normalized	normalize	VERB
cana-3378	91	9	value	value	NOUN
cana-3378	91	10	,	,	PUNCT
cana-3378	91	11	•	•	ADP
cana-3378	91	12	𝑋	𝑋	PROPN
cana-3378	91	13	is	be	AUX
cana-3378	91	14	the	the	DET
cana-3378	91	15	original	original	ADJ
cana-3378	91	16	value	value	NOUN
cana-3378	91	17	,	,	PUNCT
cana-3378	91	18	•	•	ADV
cana-3378	91	19	𝑋min	𝑋min	PROPN
cana-3378	91	20	and	and	CCONJ
cana-3378	91	21	𝑋max	𝑋max	PROPN
cana-3378	91	22	are	be	AUX
cana-3378	91	23	the	the	DET
cana-3378	91	24	minimum	minimum	ADJ
cana-3378	91	25	and	and	CCONJ
cana-3378	91	26	maximum	maximum	ADJ
cana-3378	91	27	values	value	NOUN
cana-3378	91	28	of	of	ADP
cana-3378	91	29	the	the	DET
cana-3378	91	30	feature	feature	NOUN
cana-3378	91	31	.	.	PUNCT
cana-3378	92	1	step	step	NOUN
cana-3378	92	2	2	2	NUM
cana-3378	92	3	:	:	PUNCT
cana-3378	92	4	feature	feature	NOUN
cana-3378	92	5	selection	selection	NOUN
cana-3378	92	6	using	use	VERB
cana-3378	92	7	evolutionary	evolutionary	ADJ
cana-3378	92	8	algorithms	algorithm	NOUN
cana-3378	92	9	when	when	SCONJ
cana-3378	92	10	operating	operate	VERB
cana-3378	92	11	in	in	ADP
cana-3378	92	12	the	the	DET
cana-3378	92	13	preprocessing	preprocessing	NOUN
cana-3378	92	14	phase	phase	NOUN
cana-3378	92	15	the	the	DET
cana-3378	92	16	next	next	ADJ
cana-3378	92	17	step	step	NOUN
cana-3378	92	18	is	be	AUX
cana-3378	92	19	to	to	PART
cana-3378	92	20	extract	extract	VERB
cana-3378	92	21	the	the	DET
cana-3378	92	22	most	most	ADV
cana-3378	92	23	significant	significant	ADJ
cana-3378	92	24	features	feature	NOUN
cana-3378	92	25	for	for	ADP
cana-3378	92	26	the	the	DET
cana-3378	92	27	ids	id	NOUN
cana-3378	92	28	tasks	task	NOUN
cana-3378	92	29	.	.	PUNCT
cana-3378	93	1	as	as	SCONJ
cana-3378	93	2	pointed	point	VERB
cana-3378	93	3	out	out	ADP
cana-3378	93	4	earlier	early	ADV
cana-3378	93	5	,	,	PUNCT
cana-3378	93	6	the	the	DET
cana-3378	93	7	traffic	traffic	NOUN
cana-3378	93	8	data	datum	NOUN
cana-3378	93	9	inherent	inherent	ADJ
cana-3378	93	10	in	in	ADP
cana-3378	93	11	the	the	DET
cana-3378	93	12	study	study	NOUN
cana-3378	93	13	of	of	ADP
cana-3378	93	14	network	network	NOUN
cana-3378	93	15	traffic	traffic	NOUN
cana-3378	93	16	is	be	AUX
cana-3378	93	17	normally	normally	ADV
cana-3378	93	18	large	large	ADJ
cana-3378	93	19	and	and	CCONJ
cana-3378	93	20	the	the	DET
cana-3378	93	21	complexity	complexity	NOUN
cana-3378	93	22	of	of	ADP
cana-3378	93	23	traffic	traffic	NOUN
cana-3378	93	24	results	result	NOUN
cana-3378	93	25	in	in	ADP
cana-3378	93	26	the	the	DET
cana-3378	93	27	fact	fact	NOUN
cana-3378	93	28	that	that	SCONJ
cana-3378	93	29	feature	feature	NOUN
cana-3378	93	30	selection	selection	NOUN
cana-3378	93	31	exercise	exercise	NOUN
cana-3378	93	32	becomes	become	VERB
cana-3378	93	33	very	very	ADV
cana-3378	93	34	important	important	ADJ
cana-3378	93	35	.	.	PUNCT
cana-3378	94	1	genetic	genetic	ADJ
cana-3378	94	2	algorithms	algorithm	NOUN
cana-3378	94	3	(	(	PUNCT
cana-3378	94	4	ga	ga	NOUN
cana-3378	94	5	)	)	PUNCT
cana-3378	94	6	and	and	CCONJ
cana-3378	94	7	particle	particle	NOUN
cana-3378	94	8	swarm	swarm	NOUN
cana-3378	94	9	optimization	optimization	NOUN
cana-3378	94	10	(	(	PUNCT
cana-3378	94	11	pso	pso	NOUN
cana-3378	94	12	)	)	PUNCT
cana-3378	94	13	are	be	AUX
cana-3378	94	14	used	use	VERB
cana-3378	94	15	to	to	PART
cana-3378	94	16	solve	solve	VERB
cana-3378	94	17	feature	feature	NOUN
cana-3378	94	18	selection	selection	NOUN
cana-3378	94	19	problems	problem	NOUN
cana-3378	94	20	in	in	ADP
cana-3378	94	21	a	a	DET
cana-3378	94	22	way	way	NOUN
cana-3378	94	23	that	that	PRON
cana-3378	94	24	is	be	AUX
cana-3378	94	25	an	an	DET
cana-3378	94	26	extension	extension	NOUN
cana-3378	94	27	of	of	ADP
cana-3378	94	28	evolutionary	evolutionary	ADJ
cana-3378	94	29	algorithms	algorithm	NOUN
cana-3378	94	30	(	(	PUNCT
cana-3378	94	31	eas	ea	NOUN
cana-3378	94	32	)	)	PUNCT
cana-3378	95	1	[	[	X
cana-3378	95	2	15	15	NUM
cana-3378	95	3	]	]	PUNCT
cana-3378	95	4	.	.	PUNCT
cana-3378	96	1	in	in	ADP
cana-3378	96	2	this	this	DET
cana-3378	96	3	study	study	NOUN
cana-3378	96	4	,	,	PUNCT
cana-3378	96	5	feature	feature	NOUN
cana-3378	96	6	selection	selection	NOUN
cana-3378	96	7	is	be	AUX
cana-3378	96	8	carried	carry	VERB
cana-3378	96	9	out	out	ADP
cana-3378	96	10	by	by	ADP
cana-3378	96	11	using	use	VERB
cana-3378	96	12	a	a	DET
cana-3378	96	13	multi	multi	ADJ
cana-3378	96	14	-	-	ADJ
cana-3378	96	15	objective	objective	ADJ
cana-3378	96	16	optimization	optimization	NOUN
cana-3378	96	17	approach	approach	NOUN
cana-3378	96	18	that	that	PRON
cana-3378	96	19	aims	aim	VERB
cana-3378	96	20	at	at	ADP
cana-3378	96	21	achieving	achieve	VERB
cana-3378	96	22	maximum	maximum	ADJ
cana-3378	96	23	classification	classification	NOUN
cana-3378	96	24	accuracy	accuracy	NOUN
cana-3378	96	25	and	and	CCONJ
cana-3378	96	26	at	at	ADP
cana-3378	96	27	the	the	DET
cana-3378	96	28	same	same	ADJ
cana-3378	96	29	time	time	NOUN
cana-3378	96	30	operates	operate	VERB
cana-3378	96	31	at	at	ADP
cana-3378	96	32	a	a	DET
cana-3378	96	33	minimum	minimum	ADJ
cana-3378	96	34	cost	cost	NOUN
cana-3378	96	35	.	.	PUNCT
cana-3378	97	1	the	the	DET
cana-3378	97	2	fitness	fitness	NOUN
cana-3378	97	3	function	function	NOUN
cana-3378	97	4	that	that	PRON
cana-3378	97	5	on	on	ADP
cana-3378	97	6	which	which	PRON
cana-3378	97	7	the	the	DET
cana-3378	97	8	evolutionary	evolutionary	ADJ
cana-3378	97	9	algorithm	algorithm	NOUN
cana-3378	97	10	hinges	hinge	NOUN
cana-3378	97	11	can	can	AUX
cana-3378	97	12	be	be	AUX
cana-3378	97	13	defined	define	VERB
cana-3378	97	14	as	as	ADP
cana-3378	97	15	:	:	PUNCT
cana-3378	97	16	𝐹(𝐗	𝐹(𝐗	NUM
cana-3378	97	17	)	)	PUNCT
cana-3378	97	18	−	−	PROPN
cana-3378	97	19	𝛼	𝛼	PROPN
cana-3378	97	20	⋅	⋅	PROPN
cana-3378	97	21	accuracy(𝐗	accuracy(𝐗	PROPN
cana-3378	97	22	)	)	PUNCT
cana-3378	98	1	−	−	PROPN
cana-3378	98	2	𝛽	𝛽	NOUN
cana-3378	98	3	⋅	⋅	PROPN
cana-3378	98	4	cost(𝐗	cost(𝐗	PROPN
cana-3378	98	5	)	)	PUNCT
cana-3378	98	6	where	where	SCONJ
cana-3378	98	7	:	:	PUNCT
cana-3378	98	8	•	•	PUNCT
cana-3378	98	9	𝐗	𝐗	PROPN
cana-3378	98	10	represents	represent	VERB
cana-3378	98	11	the	the	DET
cana-3378	98	12	set	set	NOUN
cana-3378	98	13	of	of	ADP
cana-3378	98	14	selected	select	VERB
cana-3378	98	15	features	feature	NOUN
cana-3378	98	16	,	,	PUNCT
cana-3378	98	17	•	•	NOUN
cana-3378	98	18	𝛼	𝛼	NOUN
cana-3378	98	19	and	and	CCONJ
cana-3378	98	20	𝛽	𝛽	NOUN
cana-3378	98	21	are	be	AUX
cana-3378	98	22	weighting	weight	VERB
cana-3378	98	23	factors	factor	NOUN
cana-3378	98	24	that	that	PRON
cana-3378	98	25	balance	balance	NOUN
cana-3378	98	26	accuracy	accuracy	NOUN
cana-3378	98	27	and	and	CCONJ
cana-3378	98	28	cost	cost	NOUN
cana-3378	98	29	,	,	PUNCT
cana-3378	98	30	•	•	NUM
cana-3378	98	31	accuracy	accuracy	NOUN
cana-3378	98	32	(	(	PUNCT
cana-3378	98	33	𝐗	𝐗	NOUN
cana-3378	98	34	)	)	PUNCT
cana-3378	98	35	is	be	AUX
cana-3378	98	36	the	the	DET
cana-3378	98	37	classification	classification	NOUN
cana-3378	98	38	accuracy	accuracy	NOUN
cana-3378	98	39	with	with	ADP
cana-3378	98	40	the	the	DET
cana-3378	98	41	selected	select	VERB
cana-3378	98	42	features	feature	NOUN
cana-3378	98	43	,	,	PUNCT
cana-3378	98	44	•	•	NUM
cana-3378	98	45	cost(𝐗	cost(𝐗	PROPN
cana-3378	98	46	)	)	PUNCT
cana-3378	98	47	is	be	AUX
cana-3378	98	48	the	the	DET
cana-3378	98	49	computational	computational	ADJ
cana-3378	98	50	cost	cost	NOUN
cana-3378	98	51	associated	associate	VERB
cana-3378	98	52	with	with	ADP
cana-3378	98	53	the	the	DET
cana-3378	98	54	selected	select	VERB
cana-3378	98	55	features	feature	NOUN
cana-3378	98	56	.	.	PUNCT
cana-3378	99	1	the	the	DET
cana-3378	99	2	evolutionary	evolutionary	ADJ
cana-3378	99	3	process	process	NOUN
cana-3378	99	4	continuously	continuously	ADV
cana-3378	99	5	creates	create	VERB
cana-3378	99	6	successive	successive	ADJ
cana-3378	99	7	generations	generation	NOUN
cana-3378	99	8	of	of	ADP
cana-3378	99	9	fea−	fea−	NOUN
cana-3378	99	10	ture	ture	NOUN
cana-3378	99	11	sets	set	NOUN
cana-3378	99	12	with	with	ADP
cana-3378	99	13	crossover	crossover	NOUN
cana-3378	99	14	,	,	PUNCT
cana-3378	99	15	mutation	mutation	NOUN
cana-3378	99	16	,	,	PUNCT
cana-3378	99	17	and	and	CCONJ
cana-3378	99	18	selection	selection	NOUN
cana-3378	99	19	operators	operator	NOUN
cana-3378	99	20	having	have	VERB
cana-3378	99	21	to	to	PART
cana-3378	99	22	selectively	selectively	ADV
cana-3378	99	23	eliminate	eliminate	VERB
cana-3378	99	24	sub	sub	NOUN
cana-3378	99	25	doptimal	doptimal	ADJ
cana-3378	99	26	feature	feature	NOUN
cana-3378	99	27	sets	set	NOUN
cana-3378	99	28	.	.	PUNCT
cana-3378	100	1	when	when	SCONJ
cana-3378	100	2	several	several	ADJ
cana-3378	100	3	generations	generation	NOUN
cana-3378	100	4	of	of	ADP
cana-3378	100	5	features	feature	NOUN
cana-3378	100	6	have	have	AUX
cana-3378	100	7	been	be	AUX
cana-3378	100	8	produced	produce	VERB
cana-3378	100	9	,	,	PUNCT
cana-3378	100	10	the	the	DET
cana-3378	100	11	fittest	fit	ADJ
cana-3378	100	12	set	set	NOUN
cana-3378	100	13	of	of	ADP
cana-3378	100	14	features	feature	NOUN
cana-3378	100	15	is	be	AUX
cana-3378	100	16	chosen	choose	VERB
cana-3378	100	17	and	and	CCONJ
cana-3378	100	18	utilized	utilize	VERB
cana-3378	100	19	in	in	ADP
cana-3378	100	20	model	model	NOUN
cana-3378	100	21	training	training	NOUN
cana-3378	101	1	[	[	X
cana-3378	101	2	16	16	NUM
cana-3378	101	3	]	]	PUNCT
cana-3378	101	4	.	.	PUNCT
cana-3378	102	1	step	step	NOUN
cana-3378	102	2	3	3	NUM
cana-3378	102	3	:	:	PUNCT
cana-3378	102	4	model	model	NOUN
cana-3378	102	5	training	training	NOUN
cana-3378	102	6	using	use	VERB
cana-3378	102	7	hybrid	hybrid	ADJ
cana-3378	102	8	deep	deep	ADJ
cana-3378	102	9	learning	learning	NOUN
cana-3378	102	10	models	model	NOUN
cana-3378	102	11	this	this	PRON
cana-3378	102	12	makes	make	VERB
cana-3378	102	13	the	the	DET
cana-3378	102	14	proceeding	proceeding	NOUN
cana-3378	102	15	phase	phase	NOUN
cana-3378	102	16	,	,	PUNCT
cana-3378	102	17	where	where	SCONJ
cana-3378	102	18	the	the	DET
cana-3378	102	19	best	good	ADJ
cana-3378	102	20	features	feature	NOUN
cana-3378	102	21	are	be	AUX
cana-3378	102	22	selected	select	VERB
cana-3378	102	23	,	,	PUNCT
cana-3378	102	24	essential	essential	ADJ
cana-3378	102	25	for	for	ADP
cana-3378	102	26	better	well	ADJ
cana-3378	102	27	training	training	NOUN
cana-3378	102	28	results	result	NOUN
cana-3378	102	29	to	to	PART
cana-3378	102	30	train	train	VERB
cana-3378	102	31	a	a	DET
cana-3378	102	32	hybrid	hybrid	ADJ
cana-3378	102	33	deep	deep	ADJ
cana-3378	102	34	learning	learning	NOUN
cana-3378	102	35	model	model	NOUN
cana-3378	102	36	,	,	PUNCT
cana-3378	102	37	which	which	PRON
cana-3378	102	38	includes	include	VERB
cana-3378	102	39	cnns	cnn	NOUN
cana-3378	102	40	and	and	CCONJ
cana-3378	102	41	lstm	lstm	NOUN
cana-3378	102	42	networks	network	NOUN
cana-3378	102	43	,	,	PUNCT
cana-3378	102	44	for	for	ADP
cana-3378	102	45	customer	customer	NOUN
cana-3378	102	46	sentiment	sentiment	NOUN
cana-3378	102	47	analysis	analysis	NOUN
cana-3378	102	48	.	.	PUNCT
cana-3378	103	1	this	this	DET
cana-3378	103	2	hybrid	hybrid	ADJ
cana-3378	103	3	architecture	architecture	NOUN
cana-3378	103	4	is	be	AUX
cana-3378	103	5	defined	define	VERB
cana-3378	103	6	to	to	PART
cana-3378	103	7	combine	combine	VERB
cana-3378	103	8	the	the	DET
cana-3378	103	9	cnns	cnn	NOUN
cana-3378	103	10	for	for	ADP
cana-3378	103	11	feature	feature	NOUN
cana-3378	103	12	extraction	extraction	NOUN
cana-3378	103	13	of	of	ADP
cana-3378	103	14	spatial	spatial	ADJ
cana-3378	103	15	data	datum	NOUN
cana-3378	103	16	and	and	CCONJ
cana-3378	103	17	temporal	temporal	ADJ
cana-3378	103	18	data	datum	NOUN
cana-3378	103	19	handling	handling	NOUN
cana-3378	103	20	by	by	ADP
cana-3378	103	21	lstms	lstms	NOUN
cana-3378	103	22	.	.	PUNCT
cana-3378	104	1	it	it	PRON
cana-3378	104	2	breaks	break	VERB
cana-3378	104	3	down	down	ADP
cana-3378	104	4	the	the	DET
cana-3378	104	5	spatial	spatial	ADJ
cana-3378	104	6	correlations	correlation	NOUN
cana-3378	104	7	in	in	ADP
cana-3378	104	8	the	the	DET
cana-3378	104	9	data	data	NOUN
cana-3378	104	10	communications	communication	NOUN
cana-3378	104	11	on	on	ADP
cana-3378	104	12	applied	apply	VERB
cana-3378	104	13	nonlinear	nonlinear	ADJ
cana-3378	104	14	analysis	analysis	NOUN
cana-3378	104	15	issn	issn	NOUN
cana-3378	104	16	:	:	PUNCT
cana-3378	104	17	1074	1074	NUM
cana-3378	104	18	-	-	PUNCT
cana-3378	104	19	133x	133x	NUM
cana-3378	104	20	vol	vol	NOUN
cana-3378	104	21	32	32	NUM
cana-3378	104	22	no	no	NOUN
cana-3378	104	23	.	.	PUNCT
cana-3378	105	1	7s	7	NOUN
cana-3378	105	2	(	(	PUNCT
cana-3378	105	3	2025	2025	NUM
cana-3378	105	4	)	)	PUNCT
cana-3378	105	5	215	215	NUM
cana-3378	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	105	7	and	and	CCONJ
cana-3378	105	8	the	the	DET
cana-3378	105	9	temporal	temporal	ADJ
cana-3378	105	10	structures	structure	NOUN
cana-3378	105	11	within	within	ADP
cana-3378	105	12	the	the	DET
cana-3378	105	13	sequence	sequence	NOUN
cana-3378	105	14	of	of	ADP
cana-3378	105	15	numbers	number	NOUN
cana-3378	105	16	to	to	PART
cana-3378	105	17	make	make	VERB
cana-3378	105	18	this	this	PRON
cana-3378	105	19	accordingly	accordingly	ADV
cana-3378	105	20	suitable	suitable	ADJ
cana-3378	105	21	for	for	ADP
cana-3378	105	22	identifying	identify	VERB
cana-3378	105	23	network	network	NOUN
cana-3378	105	24	intrusion	intrusion	NOUN
cana-3378	105	25	because	because	SCONJ
cana-3378	105	26	most	most	ADJ
cana-3378	105	27	alterations	alteration	NOUN
cana-3378	105	28	in	in	ADP
cana-3378	105	29	networks	network	NOUN
cana-3378	105	30	reflect	reflect	VERB
cana-3378	105	31	spatial	spatial	ADJ
cana-3378	105	32	and	and	CCONJ
cana-3378	105	33	temporal	temporal	ADJ
cana-3378	105	34	characteristics	characteristic	NOUN
cana-3378	105	35	.	.	PUNCT
cana-3378	106	1	the	the	DET
cana-3378	106	2	cnn	cnn	PROPN
cana-3378	106	3	component	component	NOUN
cana-3378	106	4	is	be	AUX
cana-3378	106	5	implemented	implement	VERB
cana-3378	106	6	to	to	PART
cana-3378	106	7	find	find	VERB
cana-3378	106	8	the	the	DET
cana-3378	106	9	local	local	ADJ
cana-3378	106	10	feature	feature	NOUN
cana-3378	106	11	of	of	ADP
cana-3378	106	12	data	datum	NOUN
cana-3378	106	13	and	and	CCONJ
cana-3378	106	14	the	the	DET
cana-3378	106	15	lstm	lstm	PROPN
cana-3378	106	16	component	component	NOUN
cana-3378	106	17	is	be	AUX
cana-3378	106	18	applied	apply	VERB
cana-3378	106	19	to	to	PART
cana-3378	106	20	address	address	VERB
cana-3378	106	21	the	the	DET
cana-3378	106	22	sequential	sequential	ADJ
cana-3378	106	23	characteristic	characteristic	NOUN
cana-3378	106	24	of	of	ADP
cana-3378	106	25	data	datum	NOUN
cana-3378	106	26	.	.	PUNCT
cana-3378	107	1	the	the	DET
cana-3378	107	2	selection	selection	NOUN
cana-3378	107	3	of	of	ADP
cana-3378	107	4	the	the	DET
cana-3378	107	5	features	feature	NOUN
cana-3378	107	6	is	be	AUX
cana-3378	107	7	performed	perform	VERB
cana-3378	107	8	based	base	VERB
cana-3378	107	9	on	on	ADP
cana-3378	107	10	the	the	DET
cana-3378	107	11	exploration	exploration	NOUN
cana-3378	107	12	of	of	ADP
cana-3378	107	13	the	the	DET
cana-3378	107	14	ranked	rank	VERB
cana-3378	107	15	differential	differential	ADJ
cana-3378	107	16	equality	equality	NOUN
cana-3378	107	17	while	while	SCONJ
cana-3378	107	18	the	the	DET
cana-3378	107	19	hybrid	hybrid	NOUN
cana-3378	107	20	model	model	NOUN
cana-3378	107	21	is	be	AUX
cana-3378	107	22	trained	train	VERB
cana-3378	107	23	using	use	VERB
cana-3378	107	24	stochastic	stochastic	ADJ
cana-3378	107	25	gradient	gradient	ADJ
cana-3378	107	26	descent	descent	NOUN
cana-3378	107	27	(	(	PUNCT
cana-3378	107	28	sgd	sgd	NOUN
cana-3378	107	29	)	)	PUNCT
cana-3378	107	30	or	or	CCONJ
cana-3378	107	31	adam	adam	PROPN
cana-3378	107	32	optimization	optimization	NOUN
cana-3378	107	33	.	.	PUNCT
cana-3378	108	1	the	the	DET
cana-3378	108	2	training	training	NOUN
cana-3378	108	3	target	target	NOUN
cana-3378	108	4	loss	loss	NOUN
cana-3378	108	5	used	use	VERB
cana-3378	108	6	while	while	SCONJ
cana-3378	108	7	training	train	VERB
cana-3378	108	8	the	the	DET
cana-3378	108	9	model	model	NOUN
cana-3378	108	10	can	can	AUX
cana-3378	108	11	be	be	AUX
cana-3378	108	12	defined	define	VERB
cana-3378	108	13	as	as	ADP
cana-3378	108	14	:	:	PUNCT
cana-3378	108	15	𝐿(𝜃	𝐿(𝜃	X
cana-3378	108	16	)	)	PUNCT
cana-3378	109	1	−	−	NOUN
cana-3378	109	2	−	−	NOUN
cana-3378	109	3	1	1	NUM
cana-3378	109	4	𝑁	𝑁	PROPN
cana-3378	109	5	∑	∑	DET
cana-3378	109	6	  	  	SPACE
cana-3378	109	7	𝑁	𝑁	PROPN
cana-3378	109	8	𝑖=1	𝑖=1	PROPN
cana-3378	109	9	𝑦𝑖log⁡(𝑝(𝑦𝑖	𝑦𝑖log⁡(𝑝(𝑦𝑖	PROPN
cana-3378	109	10	∣	∣	VERB
cana-3378	109	11	𝑥𝑖	𝑥𝑖	NUM
cana-3378	109	12	;	;	PUNCT
cana-3378	109	13	𝜃	𝜃	X
cana-3378	109	14	)	)	PUNCT
cana-3378	109	15	)	)	PUNCT
cana-3378	110	1	where	where	SCONJ
cana-3378	110	2	:	:	PUNCT
cana-3378	110	3	•	•	NUM
cana-3378	110	4	𝐿(𝜃	𝐿(𝜃	NOUN
cana-3378	110	5	)	)	PUNCT
cana-3378	110	6	is	be	AUX
cana-3378	110	7	the	the	DET
cana-3378	110	8	loss	loss	NOUN
cana-3378	110	9	function	function	NOUN
cana-3378	110	10	,	,	PUNCT
cana-3378	110	11	•	•	ADP
cana-3378	110	12	𝑁	𝑁	PROPN
cana-3378	110	13	is	be	AUX
cana-3378	110	14	the	the	DET
cana-3378	110	15	number	number	NOUN
cana-3378	110	16	of	of	ADP
cana-3378	110	17	samples	sample	NOUN
cana-3378	110	18	,	,	PUNCT
cana-3378	110	19	•	•	NUM
cana-3378	110	20	𝑦𝑖	𝑦𝑖	PROPN
cana-3378	110	21	is	be	AUX
cana-3378	110	22	the	the	DET
cana-3378	110	23	true	true	ADJ
cana-3378	110	24	label	label	NOUN
cana-3378	110	25	for	for	ADP
cana-3378	110	26	the	the	DET
cana-3378	110	27	𝑖-th	𝑖-th	PROPN
cana-3378	110	28	sample	sample	NOUN
cana-3378	110	29	,	,	PUNCT
cana-3378	110	30	•	•	NOUN
cana-3378	110	31	𝑝(𝑦𝑖	𝑝(𝑦𝑖	X
cana-3378	110	32	∣	∣	VERB
cana-3378	110	33	𝑥𝑖	𝑥𝑖	NUM
cana-3378	110	34	;	;	PUNCT
cana-3378	110	35	𝜃	𝜃	X
cana-3378	110	36	)	)	PUNCT
cana-3378	110	37	is	be	AUX
cana-3378	110	38	the	the	DET
cana-3378	110	39	predicted	predict	VERB
cana-3378	110	40	probability	probability	NOUN
cana-3378	110	41	of	of	ADP
cana-3378	110	42	the	the	DET
cana-3378	110	43	label	label	NOUN
cana-3378	110	44	𝑦𝑖	𝑦𝑖	NOUN
cana-3378	110	45	given	give	VERB
cana-3378	110	46	the	the	DET
cana-3378	110	47	input	input	NOUN
cana-3378	110	48	𝑥𝑖	𝑥𝑖	ADP
cana-3378	110	49	•	•	NOUN
cana-3378	110	50	𝜃	𝜃	NOUN
cana-3378	110	51	represents	represent	VERB
cana-3378	110	52	the	the	DET
cana-3378	110	53	model	model	NOUN
cana-3378	110	54	parameters	parameter	NOUN
cana-3378	110	55	.	.	PUNCT
cana-3378	111	1	the	the	DET
cana-3378	111	2	model	model	NOUN
cana-3378	111	3	is	be	AUX
cana-3378	111	4	trained	train	VERB
cana-3378	111	5	until	until	ADP
cana-3378	111	6	convergence	convergence	NOUN
cana-3378	111	7	,	,	PUNCT
cana-3378	111	8	ensuring	ensure	VERB
cana-3378	111	9	that	that	SCONJ
cana-3378	111	10	it	it	PRON
cana-3378	111	11	generalizes	generalize	VERB
cana-3378	111	12	well	well	ADV
cana-3378	111	13	to	to	ADP
cana-3378	111	14	unseen	unseen	ADJ
cana-3378	111	15	data	datum	NOUN
cana-3378	111	16	and	and	CCONJ
cana-3378	111	17	provides	provide	VERB
cana-3378	111	18	accurate	accurate	ADJ
cana-3378	111	19	predictions	prediction	NOUN
cana-3378	111	20	.	.	PUNCT
cana-3378	112	1	step	step	NOUN
cana-3378	112	2	4	4	NUM
cana-3378	112	3	:	:	PUNCT
cana-3378	112	4	evaluation	evaluation	NOUN
cana-3378	112	5	and	and	CCONJ
cana-3378	112	6	optimization	optimization	NOUN
cana-3378	112	7	upon	upon	SCONJ
cana-3378	112	8	training	training	NOUN
cana-3378	112	9	of	of	ADP
cana-3378	112	10	the	the	DET
cana-3378	112	11	hybrid	hybrid	ADJ
cana-3378	112	12	model	model	NOUN
cana-3378	112	13	,	,	PUNCT
cana-3378	112	14	the	the	DET
cana-3378	112	15	capability	capability	NOUN
cana-3378	112	16	of	of	ADP
cana-3378	112	17	the	the	DET
cana-3378	112	18	model	model	NOUN
cana-3378	112	19	to	to	PART
cana-3378	112	20	classify	classify	VERB
cana-3378	112	21	correctly	correctly	ADV
cana-3378	112	22	on	on	ADP
cana-3378	112	23	a	a	DET
cana-3378	112	24	test	test	NOUN
cana-3378	112	25	set	set	VERB
cana-3378	112	26	not	not	PART
cana-3378	112	27	used	use	VERB
cana-3378	112	28	during	during	ADP
cana-3378	112	29	the	the	DET
cana-3378	112	30	model	model	NOUN
cana-3378	112	31	training	training	NOUN
cana-3378	112	32	phase	phase	NOUN
cana-3378	112	33	is	be	AUX
cana-3378	112	34	assessed	assess	VERB
cana-3378	112	35	.	.	PUNCT
cana-3378	113	1	among	among	ADP
cana-3378	113	2	these	these	DET
cana-3378	113	3	criteria	criterion	NOUN
cana-3378	113	4	,	,	PUNCT
cana-3378	113	5	accuracy	accuracy	NOUN
cana-3378	113	6	,	,	PUNCT
cana-3378	113	7	precision	precision	NOUN
cana-3378	113	8	,	,	PUNCT
cana-3378	113	9	recall	recall	NOUN
cana-3378	113	10	,	,	PUNCT
cana-3378	113	11	f1	f1	NOUN
cana-3378	113	12	score	score	NOUN
cana-3378	113	13	,	,	PUNCT
cana-3378	113	14	and	and	CCONJ
cana-3378	113	15	confusion	confusion	NOUN
cana-3378	113	16	matrices	matrix	NOUN
cana-3378	113	17	are	be	AUX
cana-3378	113	18	the	the	DET
cana-3378	113	19	most	most	ADV
cana-3378	113	20	frequent	frequent	ADJ
cana-3378	113	21	methods	method	NOUN
cana-3378	113	22	of	of	ADP
cana-3378	113	23	model	model	NOUN
cana-3378	113	24	evaluation	evaluation	NOUN
cana-3378	113	25	.	.	PUNCT
cana-3378	114	1	this	this	DET
cana-3378	114	2	evaluation	evaluation	NOUN
cana-3378	114	3	is	be	AUX
cana-3378	114	4	done	do	VERB
cana-3378	114	5	on	on	ADP
cana-3378	114	6	various	various	ADJ
cana-3378	114	7	attacks	attack	NOUN
cana-3378	114	8	to	to	PART
cana-3378	114	9	see	see	VERB
cana-3378	114	10	how	how	SCONJ
cana-3378	114	11	effectively	effectively	ADV
cana-3378	114	12	the	the	DET
cana-3378	114	13	model	model	NOUN
cana-3378	114	14	can	can	AUX
cana-3378	114	15	detect	detect	VERB
cana-3378	114	16	different	different	ADJ
cana-3378	114	17	sorts	sort	NOUN
cana-3378	114	18	of	of	ADP
cana-3378	114	19	network	network	NOUN
cana-3378	114	20	attacks	attack	NOUN
cana-3378	114	21	which	which	PRON
cana-3378	114	22	may	may	AUX
cana-3378	114	23	include	include	VERB
cana-3378	114	24	dods	dod	NOUN
cana-3378	114	25	,	,	PUNCT
cana-3378	114	26	phishing	phishing	NOUN
cana-3378	114	27	,	,	PUNCT
cana-3378	114	28	and	and	CCONJ
cana-3378	114	29	malware	malware	NOUN
cana-3378	114	30	attacks	attack	NOUN
cana-3378	114	31	.	.	PUNCT
cana-3378	115	1	for	for	ADP
cana-3378	115	2	better	well	ADJ
cana-3378	115	3	model	model	NOUN
cana-3378	115	4	tuning	tuning	NOUN
cana-3378	115	5	and	and	CCONJ
cana-3378	115	6	enhancing	enhance	VERB
cana-3378	115	7	the	the	DET
cana-3378	115	8	model	model	NOUN
cana-3378	115	9	’s	’s	PART
cana-3378	115	10	performance	performance	NOUN
cana-3378	115	11	the	the	DET
cana-3378	115	12	hyper	hyper	ADJ
cana-3378	115	13	parameters	parameter	NOUN
cana-3378	115	14	are	be	AUX
cana-3378	115	15	tuned	tune	VERB
cana-3378	115	16	by	by	ADP
cana-3378	115	17	methods	method	NOUN
cana-3378	115	18	such	such	ADJ
cana-3378	115	19	as	as	ADP
cana-3378	115	20	grid	grid	NOUN
cana-3378	115	21	search	search	NOUN
cana-3378	115	22	,	,	PUNCT
cana-3378	115	23	or	or	CCONJ
cana-3378	115	24	random	random	ADJ
cana-3378	115	25	search	search	NOUN
cana-3378	115	26	.	.	PUNCT
cana-3378	116	1	we	we	PRON
cana-3378	116	2	are	be	AUX
cana-3378	116	3	also	also	ADV
cana-3378	116	4	able	able	ADJ
cana-3378	116	5	to	to	PART
cana-3378	116	6	use	use	VERB
cana-3378	116	7	the	the	DET
cana-3378	116	8	evolutionary	evolutionary	ADJ
cana-3378	116	9	algorithm	algorithm	NOUN
cana-3378	116	10	to	to	PART
cana-3378	116	11	tune	tune	VERB
cana-3378	116	12	the	the	DET
cana-3378	116	13	hyper	hyper	ADJ
cana-3378	116	14	parameters	parameter	NOUN
cana-3378	116	15	including	include	VERB
cana-3378	116	16	the	the	DET
cana-3378	116	17	learning	learning	NOUN
cana-3378	116	18	rate	rate	NOUN
cana-3378	116	19	,	,	PUNCT
cana-3378	116	20	batch	batch	NOUN
cana-3378	116	21	size	size	NOUN
cana-3378	116	22	and	and	CCONJ
cana-3378	116	23	the	the	DET
cana-3378	116	24	number	number	NOUN
cana-3378	116	25	of	of	ADP
cana-3378	116	26	hidden	hidden	ADJ
cana-3378	116	27	layers	layer	NOUN
cana-3378	116	28	.	.	PUNCT
cana-3378	117	1	this	this	PRON
cana-3378	117	2	makes	make	VERB
cana-3378	117	3	it	it	PRON
cana-3378	117	4	possible	possible	ADJ
cana-3378	117	5	for	for	SCONJ
cana-3378	117	6	the	the	DET
cana-3378	117	7	model	model	NOUN
cana-3378	117	8	to	to	PART
cana-3378	117	9	sharpen	sharpen	VERB
cana-3378	117	10	its	its	PRON
cana-3378	117	11	efficiency	efficiency	NOUN
cana-3378	117	12	to	to	ADP
cana-3378	117	13	the	the	DET
cana-3378	117	14	highest	high	ADJ
cana-3378	117	15	possible	possible	ADJ
cana-3378	117	16	best	good	ADJ
cana-3378	117	17	[	[	X
cana-3378	117	18	17	17	NUM
cana-3378	117	19	]	]	PUNCT
cana-3378	117	20	.	.	PUNCT
cana-3378	118	1	step	step	NOUN
cana-3378	118	2	5	5	NUM
cana-3378	118	3	:	:	PUNCT
cana-3378	118	4	deployment	deployment	NOUN
cana-3378	118	5	and	and	CCONJ
cana-3378	118	6	real	real	ADJ
cana-3378	118	7	-	-	PUNCT
cana-3378	118	8	time	time	NOUN
cana-3378	118	9	detection	detection	NOUN
cana-3378	118	10	lastly	lastly	ADV
cana-3378	118	11	,	,	PUNCT
cana-3378	118	12	after	after	ADP
cana-3378	118	13	fulfilling	fulfil	VERB
cana-3378	118	14	the	the	DET
cana-3378	118	15	last	last	ADJ
cana-3378	118	16	step	step	NOUN
cana-3378	118	17	,	,	PUNCT
cana-3378	118	18	the	the	DET
cana-3378	118	19	trained	train	VERB
cana-3378	118	20	and	and	CCONJ
cana-3378	118	21	optimized	optimize	VERB
cana-3378	118	22	model	model	NOUN
cana-3378	118	23	is	be	AUX
cana-3378	118	24	used	use	VERB
cana-3378	118	25	for	for	ADP
cana-3378	118	26	the	the	DET
cana-3378	118	27	detection	detection	NOUN
cana-3378	118	28	of	of	ADP
cana-3378	118	29	intrusion	intrusion	NOUN
cana-3378	118	30	in	in	ADP
cana-3378	118	31	real	real	ADJ
cana-3378	118	32	time	time	NOUN
cana-3378	118	33	in	in	ADP
cana-3378	118	34	the	the	DET
cana-3378	118	35	analyzed	analyze	VERB
cana-3378	118	36	network	network	NOUN
cana-3378	118	37	.	.	PUNCT
cana-3378	119	1	the	the	DET
cana-3378	119	2	ids	ids	PROPN
cana-3378	119	3	is	be	AUX
cana-3378	119	4	always	always	ADV
cana-3378	119	5	on	on	ADP
cana-3378	119	6	the	the	DET
cana-3378	119	7	lookout	lookout	NOUN
cana-3378	119	8	for	for	ADP
cana-3378	119	9	network	network	NOUN
cana-3378	119	10	traffic	traffic	NOUN
cana-3378	119	11	,	,	PUNCT
cana-3378	119	12	getting	get	VERB
cana-3378	119	13	extracts	extract	NOUN
cana-3378	119	14	from	from	ADP
cana-3378	119	15	raw	raw	ADJ
cana-3378	119	16	data	datum	NOUN
cana-3378	119	17	and	and	CCONJ
cana-3378	119	18	classifying	classify	VERB
cana-3378	119	19	the	the	DET
cana-3378	119	20	traffic	traffic	NOUN
cana-3378	119	21	based	base	VERB
cana-3378	119	22	on	on	ADP
cana-3378	119	23	the	the	DET
cana-3378	119	24	hybrid	hybrid	ADJ
cana-3378	119	25	deep	deep	ADJ
cana-3378	119	26	learning	learning	NOUN
cana-3378	119	27	algorithm	algorithm	NOUN
cana-3378	119	28	.	.	PUNCT
cana-3378	120	1	notifications	notification	NOUN
cana-3378	120	2	are	be	AUX
cana-3378	120	3	produced	produce	VERB
cana-3378	120	4	in	in	ADP
cana-3378	120	5	case	case	NOUN
cana-3378	120	6	of	of	ADP
cana-3378	120	7	intrusion	intrusion	NOUN
cana-3378	120	8	;	;	PUNCT
cana-3378	120	9	additional	additional	ADJ
cana-3378	120	10	actions	action	NOUN
cana-3378	120	11	may	may	AUX
cana-3378	120	12	be	be	AUX
cana-3378	120	13	executed	execute	VERB
cana-3378	120	14	automatically	automatically	ADV
cana-3378	120	15	if	if	SCONJ
cana-3378	120	16	required	require	VERB
cana-3378	120	17	.	.	PUNCT
cana-3378	121	1	in	in	ADP
cana-3378	121	2	real	real	ADJ
cana-3378	121	3	-	-	PUNCT
cana-3378	121	4	time	time	NOUN
cana-3378	121	5	detection	detection	NOUN
cana-3378	121	6	,	,	PUNCT
cana-3378	121	7	there	there	PRON
cana-3378	121	8	is	be	VERB
cana-3378	121	9	constant	constant	ADJ
cana-3378	121	10	assessment	assessment	NOUN
cana-3378	121	11	of	of	ADP
cana-3378	121	12	the	the	DET
cana-3378	121	13	system	system	NOUN
cana-3378	121	14	’s	’s	PART
cana-3378	121	15	performance	performance	NOUN
cana-3378	121	16	to	to	PART
cana-3378	121	17	modify	modify	VERB
cana-3378	121	18	the	the	DET
cana-3378	121	19	model	model	NOUN
cana-3378	121	20	to	to	PART
cana-3378	121	21	suit	suit	VERB
cana-3378	121	22	new	new	ADJ
cana-3378	121	23	and	and	CCONJ
cana-3378	121	24	emerging	emerge	VERB
cana-3378	121	25	threats	threat	NOUN
cana-3378	121	26	.	.	PUNCT
cana-3378	122	1	communications	communication	NOUN
cana-3378	122	2	on	on	ADP
cana-3378	122	3	applied	apply	VERB
cana-3378	122	4	nonlinear	nonlinear	ADJ
cana-3378	122	5	analysis	analysis	NOUN
cana-3378	122	6	issn	issn	NOUN
cana-3378	122	7	:	:	PUNCT
cana-3378	122	8	1074	1074	NUM
cana-3378	122	9	-	-	PUNCT
cana-3378	122	10	133x	133x	NUM
cana-3378	122	11	vol	vol	NOUN
cana-3378	122	12	32	32	NUM
cana-3378	122	13	no	no	NOUN
cana-3378	122	14	.	.	PUNCT
cana-3378	123	1	7s	7	NOUN
cana-3378	123	2	(	(	PUNCT
cana-3378	123	3	2025	2025	NUM
cana-3378	123	4	)	)	PUNCT
cana-3378	123	5	216	216	NUM
cana-3378	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	123	7	a.	a.	NOUN
cana-3378	123	8	flow	flow	NOUN
cana-3378	123	9	chart	chart	NOUN
cana-3378	123	10	the	the	DET
cana-3378	123	11	flowchart	flowchart	NOUN
cana-3378	123	12	describes	describe	VERB
cana-3378	123	13	the	the	DET
cana-3378	123	14	logical	logical	ADJ
cana-3378	123	15	sequence	sequence	NOUN
cana-3378	123	16	of	of	ADP
cana-3378	123	17	ids	id	NOUN
cana-3378	123	18	which	which	PRON
cana-3378	123	19	includes	include	VERB
cana-3378	123	20	data	datum	NOUN
cana-3378	123	21	collection	collection	NOUN
cana-3378	123	22	and	and	CCONJ
cana-3378	123	23	preprocessing	preprocessing	NOUN
cana-3378	123	24	,	,	PUNCT
cana-3378	123	25	feature	feature	NOUN
cana-3378	123	26	extraction	extraction	NOUN
cana-3378	123	27	,	,	PUNCT
cana-3378	123	28	model	model	NOUN
cana-3378	123	29	detection	detection	NOUN
cana-3378	123	30	and	and	CCONJ
cana-3378	123	31	response	response	NOUN
cana-3378	123	32	actions	action	NOUN
cana-3378	123	33	in	in	ADP
cana-3378	123	34	figure	figure	NOUN
cana-3378	123	35	1	1	NUM
cana-3378	123	36	.	.	PUNCT
cana-3378	124	1	it	it	PRON
cana-3378	124	2	also	also	ADV
cana-3378	124	3	focuses	focus	VERB
cana-3378	124	4	on	on	ADP
cana-3378	124	5	the	the	DET
cana-3378	124	6	implementation	implementation	NOUN
cana-3378	124	7	of	of	ADP
cana-3378	124	8	a	a	DET
cana-3378	124	9	mid	mid	ADJ
cana-3378	124	10	-	-	NOUN
cana-3378	124	11	level	level	ADJ
cana-3378	124	12	cnn	cnn	PROPN
cana-3378	124	13	-	-	PUNCT
cana-3378	124	14	lstm	lstm	ADJ
cana-3378	124	15	hybrid	hybrid	NOUN
cana-3378	124	16	model	model	NOUN
cana-3378	124	17	for	for	ADP
cana-3378	124	18	effective	effective	ADJ
cana-3378	124	19	detection	detection	NOUN
cana-3378	124	20	and	and	CCONJ
cana-3378	124	21	on	on	ADP
cana-3378	124	22	-	-	PUNCT
cana-3378	124	23	going	go	VERB
cana-3378	124	24	updates	update	NOUN
cana-3378	124	25	due	due	ADJ
cana-3378	124	26	to	to	ADP
cana-3378	124	27	new	new	ADJ
cana-3378	124	28	emerging	emerge	VERB
cana-3378	124	29	threats	threat	NOUN
cana-3378	124	30	.	.	PUNCT
cana-3378	125	1	figure	figure	VERB
cana-3378	125	2	1	1	NUM
cana-3378	125	3	:	:	PUNCT
cana-3378	125	4	intrusion	intrusion	NOUN
cana-3378	125	5	detection	detection	NOUN
cana-3378	125	6	system	system	NOUN
cana-3378	125	7	workflow	workflow	NOUN
cana-3378	125	8	iv	iv	NOUN
cana-3378	125	9	.	.	PUNCT
cana-3378	125	10	results	result	NOUN
cana-3378	125	11	and	and	CCONJ
cana-3378	125	12	discussions	discussion	NOUN
cana-3378	125	13	using	use	VERB
cana-3378	125	14	several	several	ADJ
cana-3378	125	15	soon	soon	ADJ
cana-3378	125	16	attack	attack	NOUN
cana-3378	125	17	scenarios	scenario	NOUN
cana-3378	125	18	,	,	PUNCT
cana-3378	125	19	the	the	DET
cana-3378	125	20	real	real	ADJ
cana-3378	125	21	-	-	PUNCT
cana-3378	125	22	world	world	NOUN
cana-3378	125	23	network	network	NOUN
cana-3378	125	24	traffic	traffic	NOUN
cana-3378	125	25	data	datum	NOUN
cana-3378	125	26	were	be	AUX
cana-3378	125	27	used	use	VERB
cana-3378	125	28	as	as	ADP
cana-3378	125	29	the	the	DET
cana-3378	125	30	basis	basis	NOUN
cana-3378	125	31	for	for	ADP
cana-3378	125	32	the	the	DET
cana-3378	125	33	experimental	experimental	ADJ
cana-3378	125	34	evaluation	evaluation	NOUN
cana-3378	125	35	of	of	ADP
cana-3378	125	36	the	the	DET
cana-3378	125	37	ids	id	NOUN
cana-3378	125	38	of	of	ADP
cana-3378	125	39	the	the	DET
cana-3378	125	40	proposed	propose	VERB
cana-3378	125	41	methodology	methodology	NOUN
cana-3378	125	42	.	.	PUNCT
cana-3378	126	1	in	in	ADP
cana-3378	126	2	these	these	DET
cana-3378	126	3	tests	test	NOUN
cana-3378	126	4	,	,	PUNCT
cana-3378	126	5	the	the	DET
cana-3378	126	6	dataset	dataset	NOUN
cana-3378	126	7	involved	involve	VERB
cana-3378	126	8	benign	benign	ADJ
cana-3378	126	9	traffic	traffic	NOUN
cana-3378	126	10	and	and	CCONJ
cana-3378	126	11	the	the	DET
cana-3378	126	12	different	different	ADJ
cana-3378	126	13	types	type	NOUN
cana-3378	126	14	of	of	ADP
cana-3378	126	15	attacks	attack	NOUN
cana-3378	126	16	such	such	ADJ
cana-3378	126	17	as	as	ADP
cana-3378	126	18	,	,	PUNCT
cana-3378	126	19	ddos	ddo	NOUN
cana-3378	126	20	,	,	PUNCT
cana-3378	126	21	phishing	phishing	NOUN
cana-3378	126	22	,	,	PUNCT
cana-3378	126	23	malware	malware	NOUN
cana-3378	126	24	,	,	PUNCT
cana-3378	126	25	and	and	CCONJ
cana-3378	126	26	sql	sql	NOUN
cana-3378	126	27	attacks	attack	NOUN
cana-3378	126	28	.	.	PUNCT
cana-3378	127	1	these	these	PRON
cana-3378	127	2	were	be	AUX
cana-3378	127	3	then	then	ADV
cana-3378	127	4	preprocessed	preprocesse	VERB
cana-3378	127	5	to	to	PART
cana-3378	127	6	eliminate	eliminate	VERB
cana-3378	127	7	noise	noise	NOUN
cana-3378	127	8	and	and	CCONJ
cana-3378	127	9	irrelevant	irrelevant	ADJ
cana-3378	127	10	attributes	attribute	NOUN
cana-3378	127	11	to	to	PART
cana-3378	127	12	make	make	VERB
cana-3378	127	13	way	way	NOUN
cana-3378	127	14	for	for	ADP
cana-3378	127	15	the	the	DET
cana-3378	127	16	choice	choice	NOUN
cana-3378	127	17	of	of	ADP
cana-3378	127	18	features	feature	NOUN
cana-3378	127	19	using	use	VERB
cana-3378	127	20	evolutionary	evolutionary	ADJ
cana-3378	127	21	algorithms	algorithm	NOUN
cana-3378	127	22	.	.	PUNCT
cana-3378	128	1	the	the	DET
cana-3378	128	2	last	last	ADJ
cana-3378	128	3	proposed	propose	VERB
cana-3378	128	4	model	model	NOUN
cana-3378	128	5	consisted	consist	VERB
cana-3378	128	6	of	of	ADP
cana-3378	128	7	cnn	cnn	PROPN
cana-3378	128	8	and	and	CCONJ
cana-3378	128	9	lstm	lstm	PROPN
cana-3378	128	10	networks	network	NOUN
cana-3378	128	11	,	,	PUNCT
cana-3378	128	12	which	which	PRON
cana-3378	128	13	were	be	AUX
cana-3378	128	14	further	far	ADV
cana-3378	128	15	trained	train	VERB
cana-3378	128	16	on	on	ADP
cana-3378	128	17	the	the	DET
cana-3378	128	18	smoothed	smoothed	ADJ
cana-3378	128	19	data	datum	NOUN
cana-3378	128	20	.	.	PUNCT
cana-3378	129	1	the	the	DET
cana-3378	129	2	performance	performance	NOUN
cana-3378	129	3	of	of	ADP
cana-3378	129	4	the	the	DET
cana-3378	129	5	proposed	propose	VERB
cana-3378	129	6	model	model	NOUN
cana-3378	129	7	was	be	AUX
cana-3378	129	8	estimated	estimate	VERB
cana-3378	129	9	by	by	ADP
cana-3378	129	10	the	the	DET
cana-3378	129	11	accuracy	accuracy	NOUN
cana-3378	129	12	measure	measure	NOUN
cana-3378	129	13	,	,	PUNCT
cana-3378	129	14	the	the	DET
cana-3378	129	15	precision	precision	NOUN
cana-3378	129	16	,	,	PUNCT
cana-3378	129	17	the	the	DET
cana-3378	129	18	recall	recall	NOUN
cana-3378	129	19	,	,	PUNCT
cana-3378	129	20	and	and	CCONJ
cana-3378	129	21	the	the	DET
cana-3378	129	22	f1	f1	PROPN
cana-3378	129	23	score	score	NOUN
cana-3378	129	24	.	.	PUNCT
cana-3378	130	1	from	from	ADP
cana-3378	130	2	the	the	DET
cana-3378	130	3	above	above	ADJ
cana-3378	130	4	performance	performance	NOUN
cana-3378	130	5	evaluation	evaluation	NOUN
cana-3378	130	6	,	,	PUNCT
cana-3378	130	7	the	the	DET
cana-3378	130	8	authors	author	NOUN
cana-3378	130	9	concluded	conclude	VERB
cana-3378	130	10	that	that	SCONJ
cana-3378	130	11	the	the	DET
cana-3378	130	12	proposed	propose	VERB
cana-3378	130	13	hybrid	hybrid	NOUN
cana-3378	130	14	model	model	NOUN
cana-3378	130	15	is	be	AUX
cana-3378	130	16	more	more	ADV
cana-3378	130	17	effective	effective	ADJ
cana-3378	130	18	than	than	ADP
cana-3378	130	19	other	other	ADJ
cana-3378	130	20	standard	standard	ADJ
cana-3378	130	21	machine	machine	NOUN
cana-3378	130	22	learning	learning	NOUN
cana-3378	130	23	models	model	NOUN
cana-3378	130	24	with	with	ADP
cana-3378	130	25	high	high	ADJ
cana-3378	130	26	accuracy	accuracy	NOUN
cana-3378	130	27	such	such	ADJ
cana-3378	130	28	as	as	ADP
cana-3378	130	29	the	the	DET
cana-3378	130	30	support	support	NOUN
cana-3378	130	31	vector	vector	NOUN
cana-3378	130	32	machines	machine	NOUN
cana-3378	130	33	and	and	CCONJ
cana-3378	130	34	decision	decision	NOUN
cana-3378	130	35	trees	tree	NOUN
cana-3378	130	36	which	which	PRON
cana-3378	130	37	were	be	AUX
cana-3378	130	38	used	use	VERB
cana-3378	130	39	as	as	ADP
cana-3378	130	40	benchmarks	benchmark	NOUN
cana-3378	130	41	.	.	PUNCT
cana-3378	131	1	however	however	ADV
cana-3378	131	2	,	,	PUNCT
cana-3378	131	3	the	the	DET
cana-3378	131	4	proposed	propose	VERB
cana-3378	131	5	hybrid	hybrid	ADJ
cana-3378	131	6	cnnlstm	cnnlstm	NOUN
cana-3378	131	7	model	model	NOUN
cana-3378	131	8	was	be	AUX
cana-3378	131	9	at	at	ADP
cana-3378	131	10	one	one	NUM
cana-3378	131	11	point	point	NOUN
cana-3378	131	12	in	in	ADP
cana-3378	131	13	a	a	DET
cana-3378	131	14	position	position	NOUN
cana-3378	131	15	to	to	PART
cana-3378	131	16	learn	learn	VERB
cana-3378	131	17	accurately	accurately	ADV
cana-3378	131	18	the	the	DET
cana-3378	131	19	spatial	spatial	ADJ
cana-3378	131	20	and	and	CCONJ
cana-3378	131	21	temporal	temporal	ADJ
cana-3378	131	22	features	feature	NOUN
cana-3378	131	23	of	of	ADP
cana-3378	131	24	network	network	NOUN
cana-3378	131	25	traffic	traffic	NOUN
cana-3378	131	26	,	,	PUNCT
cana-3378	131	27	and	and	CCONJ
cana-3378	131	28	hence	hence	ADV
cana-3378	131	29	it	it	PRON
cana-3378	131	30	was	be	AUX
cana-3378	131	31	very	very	ADV
cana-3378	131	32	efficient	efficient	ADJ
cana-3378	131	33	in	in	ADP
cana-3378	131	34	the	the	DET
cana-3378	131	35	detection	detection	NOUN
cana-3378	131	36	of	of	ADP
cana-3378	131	37	advanced	advanced	ADJ
cana-3378	131	38	consequent	consequent	ADJ
cana-3378	131	39	attacks	attack	NOUN
cana-3378	131	40	[	[	X
cana-3378	131	41	24	24	NUM
cana-3378	131	42	]	]	PUNCT
cana-3378	131	43	.	.	PUNCT
cana-3378	132	1	communications	communication	NOUN
cana-3378	132	2	on	on	ADP
cana-3378	132	3	applied	apply	VERB
cana-3378	132	4	nonlinear	nonlinear	ADJ
cana-3378	132	5	analysis	analysis	NOUN
cana-3378	132	6	issn	issn	NOUN
cana-3378	132	7	:	:	PUNCT
cana-3378	132	8	1074	1074	NUM
cana-3378	132	9	-	-	PUNCT
cana-3378	132	10	133x	133x	NUM
cana-3378	132	11	vol	vol	NOUN
cana-3378	132	12	32	32	NUM
cana-3378	132	13	no	no	NOUN
cana-3378	132	14	.	.	PUNCT
cana-3378	133	1	7s	7	NOUN
cana-3378	133	2	(	(	PUNCT
cana-3378	133	3	2025	2025	NUM
cana-3378	133	4	)	)	PUNCT
cana-3378	133	5	217	217	NUM
cana-3378	133	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	133	7	some	some	PRON
cana-3378	133	8	of	of	ADP
cana-3378	133	9	the	the	DET
cana-3378	133	10	important	important	ADJ
cana-3378	133	11	discoveries	discovery	NOUN
cana-3378	133	12	found	find	VERB
cana-3378	133	13	in	in	ADP
cana-3378	133	14	the	the	DET
cana-3378	133	15	experimental	experimental	ADJ
cana-3378	133	16	analysis	analysis	NOUN
cana-3378	133	17	included	include	VERB
cana-3378	133	18	the	the	DET
cana-3378	133	19	fact	fact	NOUN
cana-3378	133	20	that	that	SCONJ
cana-3378	133	21	the	the	DET
cana-3378	133	22	proposed	propose	VERB
cana-3378	133	23	model	model	NOUN
cana-3378	133	24	achieved	achieve	VERB
cana-3378	133	25	high	high	ADJ
cana-3378	133	26	detection	detection	NOUN
cana-3378	133	27	rates	rate	NOUN
cana-3378	133	28	for	for	ADP
cana-3378	133	29	particularly	particularly	ADV
cana-3378	133	30	bandwidth	bandwidth	ADJ
cana-3378	133	31	-	-	PUNCT
cana-3378	133	32	consuming	consume	VERB
cana-3378	133	33	and	and	CCONJ
cana-3378	133	34	therefore	therefore	ADV
cana-3378	133	35	often	often	ADV
cana-3378	133	36	hard	hard	ADJ
cana-3378	133	37	to	to	PART
cana-3378	133	38	distinguish	distinguish	VERB
cana-3378	133	39	ddos	ddo	NOUN
cana-3378	133	40	attacks	attack	NOUN
cana-3378	133	41	.	.	PUNCT
cana-3378	134	1	cnn	cnn	PROPN
cana-3378	134	2	component	component	NOUN
cana-3378	134	3	of	of	ADP
cana-3378	134	4	the	the	DET
cana-3378	134	5	hybrid	hybrid	ADJ
cana-3378	134	6	model	model	NOUN
cana-3378	134	7	successfully	successfully	ADV
cana-3378	134	8	able	able	ADJ
cana-3378	134	9	to	to	PART
cana-3378	134	10	extract	extract	VERB
cana-3378	134	11	spatial	spatial	ADJ
cana-3378	134	12	feature	feature	NOUN
cana-3378	134	13	like	like	ADP
cana-3378	134	14	increase	increase	NOUN
cana-3378	134	15	in	in	ADP
cana-3378	134	16	traffic	traffic	NOUN
cana-3378	134	17	volume	volume	NOUN
cana-3378	134	18	during	during	ADP
cana-3378	134	19	the	the	DET
cana-3378	134	20	attack	attack	NOUN
cana-3378	134	21	,	,	PUNCT
cana-3378	134	22	while	while	SCONJ
cana-3378	134	23	the	the	DET
cana-3378	134	24	lstms	lstms	NOUN
cana-3378	134	25	train	train	VERB
cana-3378	134	26	it	it	PRON
cana-3378	134	27	to	to	PART
cana-3378	134	28	understand	understand	VERB
cana-3378	134	29	the	the	DET
cana-3378	134	30	sequential	sequential	NOUN
cana-3378	134	31	of	of	ADP
cana-3378	134	32	the	the	DET
cana-3378	134	33	attacks	attack	NOUN
cana-3378	134	34	and	and	CCONJ
cana-3378	134	35	thereby	thereby	ADV
cana-3378	134	36	enhancing	enhance	VERB
cana-3378	134	37	the	the	DET
cana-3378	134	38	capability	capability	NOUN
cana-3378	134	39	of	of	ADP
cana-3378	134	40	the	the	DET
cana-3378	134	41	model	model	NOUN
cana-3378	134	42	to	to	PART
cana-3378	134	43	detect	detect	VERB
cana-3378	134	44	these	these	DET
cana-3378	134	45	attacks	attack	NOUN
cana-3378	134	46	in	in	ADP
cana-3378	134	47	their	their	PRON
cana-3378	134	48	early	early	ADJ
cana-3378	134	49	stages	stage	NOUN
cana-3378	134	50	.	.	PUNCT
cana-3378	135	1	the	the	DET
cana-3378	135	2	methodology	methodology	NOUN
cana-3378	135	3	was	be	AUX
cana-3378	135	4	particularly	particularly	ADV
cana-3378	135	5	clear	clear	ADJ
cana-3378	135	6	in	in	ADP
cana-3378	135	7	the	the	DET
cana-3378	135	8	confusion	confusion	NOUN
cana-3378	135	9	matrix	matrix	NOUN
cana-3378	135	10	and	and	CCONJ
cana-3378	135	11	seen	see	VERB
cana-3378	135	12	above	above	ADV
cana-3378	135	13	,	,	PUNCT
cana-3378	135	14	showed	show	VERB
cana-3378	135	15	a	a	DET
cana-3378	135	16	high	high	ADJ
cana-3378	135	17	tpr	tpr	NOUN
cana-3378	135	18	and	and	CCONJ
cana-3378	135	19	a	a	DET
cana-3378	135	20	low	low	ADJ
cana-3378	135	21	fpr	fpr	NOUN
cana-3378	135	22	,	,	PUNCT
cana-3378	135	23	which	which	PRON
cana-3378	135	24	is	be	AUX
cana-3378	135	25	important	important	ADJ
cana-3378	135	26	for	for	ADP
cana-3378	135	27	practical	practical	ADJ
cana-3378	135	28	ids	id	NOUN
cana-3378	135	29	use	use	NOUN
cana-3378	135	30	where	where	SCONJ
cana-3378	135	31	false	false	ADJ
cana-3378	135	32	alarm	alarm	NOUN
cana-3378	135	33	is	be	AUX
cana-3378	135	34	redundant	redundant	ADJ
cana-3378	135	35	.	.	PUNCT
cana-3378	136	1	another	another	DET
cana-3378	136	2	major	major	ADJ
cana-3378	136	3	accomplishment	accomplishment	NOUN
cana-3378	136	4	was	be	AUX
cana-3378	136	5	the	the	DET
cana-3378	136	6	model	model	NOUN
cana-3378	136	7	’s	’s	PART
cana-3378	136	8	effectiveness	effectiveness	NOUN
cana-3378	136	9	of	of	ADP
cana-3378	136	10	accurately	accurately	ADV
cana-3378	136	11	identifying	identify	VERB
cana-3378	136	12	phishing	phishing	NOUN
cana-3378	136	13	and	and	CCONJ
cana-3378	136	14	malware	malware	NOUN
cana-3378	136	15	attacks	attack	NOUN
cana-3378	136	16	.	.	PUNCT
cana-3378	137	1	in	in	ADP
cana-3378	137	2	this	this	DET
cana-3378	137	3	case	case	NOUN
cana-3378	137	4	,	,	PUNCT
cana-3378	137	5	the	the	DET
cana-3378	137	6	unique	unique	ADJ
cana-3378	137	7	feature	feature	NOUN
cana-3378	137	8	of	of	ADP
cana-3378	137	9	the	the	DET
cana-3378	137	10	hybrid	hybrid	ADJ
cana-3378	137	11	cnn	cnn	PROPN
cana-3378	137	12	-	-	PUNCT
cana-3378	137	13	lstm	lstm	PROPN
cana-3378	137	14	model	model	NOUN
cana-3378	137	15	to	to	PART
cana-3378	137	16	identify	identify	VERB
cana-3378	137	17	the	the	DET
cana-3378	137	18	content	content	NOUN
cana-3378	137	19	and	and	CCONJ
cana-3378	137	20	context	context	NOUN
cana-3378	137	21	of	of	ADP
cana-3378	137	22	network	network	NOUN
cana-3378	137	23	traffic	traffic	NOUN
cana-3378	137	24	was	be	AUX
cana-3378	137	25	critical	critical	ADJ
cana-3378	137	26	.	.	PUNCT
cana-3378	138	1	spatial	spatial	ADJ
cana-3378	138	2	optimizations	optimization	NOUN
cana-3378	138	3	included	include	VERB
cana-3378	138	4	learning	learn	VERB
cana-3378	138	5	packet	packet	NOUN
cana-3378	138	6	size	size	NOUN
cana-3378	138	7	and	and	CCONJ
cana-3378	138	8	protocol	protocol	NOUN
cana-3378	138	9	type	type	NOUN
cana-3378	138	10	which	which	PRON
cana-3378	138	11	was	be	AUX
cana-3378	138	12	achieved	achieve	VERB
cana-3378	138	13	by	by	ADP
cana-3378	138	14	cnn	cnn	PROPN
cana-3378	138	15	while	while	SCONJ
cana-3378	138	16	the	the	DET
cana-3378	138	17	lstm	lstm	NOUN
cana-3378	138	18	captured	capture	VERB
cana-3378	138	19	sequential	sequential	ADJ
cana-3378	138	20	patterns	pattern	NOUN
cana-3378	138	21	of	of	ADP
cana-3378	138	22	network	network	NOUN
cana-3378	138	23	activity	activity	NOUN
cana-3378	138	24	that	that	PRON
cana-3378	138	25	pointed	point	VERB
cana-3378	138	26	to	to	ADP
cana-3378	138	27	either	either	CCONJ
cana-3378	138	28	phishing	phishe	VERB
cana-3378	138	29	attempts	attempt	NOUN
cana-3378	138	30	or	or	CCONJ
cana-3378	138	31	malware	malware	NOUN
cana-3378	138	32	traffic	traffic	NOUN
cana-3378	138	33	.	.	PUNCT
cana-3378	139	1	these	these	DET
cana-3378	139	2	capabilities	capability	NOUN
cana-3378	139	3	considered	consider	VERB
cana-3378	139	4	with	with	ADP
cana-3378	139	5	ability	ability	NOUN
cana-3378	139	6	to	to	PART
cana-3378	139	7	generalize	generalize	VERB
cana-3378	139	8	for	for	ADP
cana-3378	139	9	the	the	DET
cana-3378	139	10	different	different	ADJ
cana-3378	139	11	types	type	NOUN
cana-3378	139	12	of	of	ADP
cana-3378	139	13	attack	attack	NOUN
cana-3378	139	14	,	,	PUNCT
cana-3378	139	15	as	as	ADV
cana-3378	139	16	well	well	ADV
cana-3378	139	17	as	as	ADP
cana-3378	139	18	the	the	DET
cana-3378	139	19	computational	computational	ADJ
cana-3378	139	20	complexity	complexity	NOUN
cana-3378	139	21	when	when	SCONJ
cana-3378	139	22	working	work	VERB
cana-3378	139	23	with	with	ADP
cana-3378	139	24	large	large	ADJ
cana-3378	139	25	sets	set	NOUN
cana-3378	139	26	of	of	ADP
cana-3378	139	27	data	datum	NOUN
cana-3378	139	28	,	,	PUNCT
cana-3378	139	29	stress	stress	NOUN
cana-3378	139	30	on	on	ADP
cana-3378	139	31	the	the	DET
cana-3378	139	32	suitability	suitability	NOUN
cana-3378	139	33	of	of	ADP
cana-3378	139	34	the	the	DET
cana-3378	139	35	proposed	propose	VERB
cana-3378	139	36	approach	approach	NOUN
cana-3378	139	37	towards	towards	ADP
cana-3378	139	38	practice	practice	NOUN
cana-3378	139	39	.	.	PUNCT
cana-3378	140	1	to	to	PART
cana-3378	140	2	get	get	VERB
cana-3378	140	3	performance	performance	NOUN
cana-3378	140	4	quantification	quantification	NOUN
cana-3378	140	5	of	of	ADP
cana-3378	140	6	the	the	DET
cana-3378	140	7	model	model	NOUN
cana-3378	140	8	,	,	PUNCT
cana-3378	140	9	accuracy	accuracy	NOUN
cana-3378	140	10	measurement	measurement	NOUN
cana-3378	140	11	,	,	PUNCT
cana-3378	140	12	precision	precision	NOUN
cana-3378	140	13	measurement	measurement	NOUN
cana-3378	140	14	,	,	PUNCT
cana-3378	140	15	recall	recall	PROPN
cana-3378	140	16	measurement	measurement	PROPN
cana-3378	140	17	,	,	PUNCT
cana-3378	140	18	and	and	CCONJ
cana-3378	140	19	f1	f1	NOUN
cana-3378	140	20	of	of	ADP
cana-3378	140	21	every	every	DET
cana-3378	140	22	category	category	NOUN
cana-3378	140	23	of	of	ADP
cana-3378	140	24	the	the	DET
cana-3378	140	25	attack	attack	NOUN
cana-3378	140	26	was	be	AUX
cana-3378	140	27	computed	compute	VERB
cana-3378	140	28	.	.	PUNCT
cana-3378	141	1	the	the	DET
cana-3378	141	2	following	follow	VERB
cana-3378	141	3	table1	table1	PROPN
cana-3378	141	4	also	also	ADV
cana-3378	141	5	illustrates	illustrate	VERB
cana-3378	141	6	the	the	DET
cana-3378	141	7	same	same	ADJ
cana-3378	141	8	for	for	ADP
cana-3378	141	9	the	the	DET
cana-3378	141	10	proposed	propose	VERB
cana-3378	141	11	hybrid	hybrid	ADJ
cana-3378	141	12	cnn	cnn	PROPN
cana-3378	141	13	-	-	PUNCT
cana-3378	141	14	lstm	lstm	PROPN
cana-3378	141	15	model	model	NOUN
cana-3378	141	16	and	and	CCONJ
cana-3378	141	17	a	a	DET
cana-3378	141	18	few	few	ADJ
cana-3378	141	19	traditional	traditional	ADJ
cana-3378	141	20	machine	machine	NOUN
cana-3378	141	21	learning	learning	NOUN
cana-3378	141	22	models	model	NOUN
cana-3378	141	23	.	.	PUNCT
cana-3378	142	1	table	table	NOUN
cana-3378	142	2	1	1	NUM
cana-3378	142	3	:	:	PUNCT
cana-3378	142	4	performance	performance	NOUN
cana-3378	142	5	metrics	metric	NOUN
cana-3378	142	6	comparison	comparison	NOUN
cana-3378	142	7	metric	metric	ADJ
cana-3378	142	8	hybrid	hybrid	ADJ
cana-3378	142	9	cnn	cnn	PROPN
cana-3378	142	10	-	-	PUNCT
cana-3378	142	11	lstm	lstm	ADJ
cana-3378	142	12	svm	svm	ADJ
cana-3378	142	13	decision	decision	NOUN
cana-3378	142	14	tree	tree	NOUN
cana-3378	142	15	random	random	ADJ
cana-3378	142	16	forest	forest	NOUN
cana-3378	142	17	accuracy	accuracy	NOUN
cana-3378	142	18	98.2	98.2	NUM
cana-3378	142	19	%	%	NOUN
cana-3378	142	20	91.4	91.4	NUM
cana-3378	142	21	%	%	NOUN
cana-3378	142	22	89.3	89.3	NUM
cana-3378	142	23	%	%	NOUN
cana-3378	142	24	92.6	92.6	NUM
cana-3378	142	25	%	%	NOUN
cana-3378	142	26	precision	precision	NOUN
cana-3378	142	27	97.4	97.4	NUM
cana-3378	142	28	%	%	NOUN
cana-3378	142	29	89.1	89.1	NUM
cana-3378	142	30	%	%	NOUN
cana-3378	142	31	87.2	87.2	NUM
cana-3378	142	32	%	%	NOUN
cana-3378	142	33	91.0	91.0	NUM
cana-3378	142	34	%	%	NOUN
cana-3378	142	35	recall	recall	NOUN
cana-3378	142	36	98.9	98.9	NUM
cana-3378	142	37	%	%	NOUN
cana-3378	142	38	90.5	90.5	NUM
cana-3378	142	39	%	%	NOUN
cana-3378	142	40	88.5	88.5	NUM
cana-3378	142	41	%	%	NOUN
cana-3378	142	42	93.2	93.2	NUM
cana-3378	142	43	%	%	NOUN
cana-3378	142	44	f1	f1	NOUN
cana-3378	142	45	score	score	NOUN
cana-3378	142	46	98.1	98.1	NUM
cana-3378	142	47	%	%	NOUN
cana-3378	142	48	89.8	89.8	NUM
cana-3378	142	49	%	%	NOUN
cana-3378	142	50	87.8	87.8	NUM
cana-3378	142	51	%	%	NOUN
cana-3378	142	52	92.1	92.1	NUM
cana-3378	142	53	%	%	NOUN
cana-3378	142	54	the	the	DET
cana-3378	142	55	various	various	ADJ
cana-3378	142	56	performance	performance	NOUN
cana-3378	142	57	measurements	measurement	NOUN
cana-3378	142	58	indicate	indicate	VERB
cana-3378	142	59	that	that	SCONJ
cana-3378	142	60	the	the	DET
cana-3378	142	61	proposed	propose	VERB
cana-3378	142	62	hybrid	hybrid	ADJ
cana-3378	142	63	cnn	cnn	PROPN
cana-3378	142	64	-	-	PUNCT
cana-3378	142	65	lstm	lstm	PROPN
cana-3378	142	66	model	model	NOUN
cana-3378	142	67	delivers	deliver	VERB
cana-3378	142	68	impressive	impressive	ADJ
cana-3378	142	69	performances	performance	NOUN
cana-3378	142	70	compared	compare	VERB
cana-3378	142	71	to	to	ADP
cana-3378	142	72	existing	exist	VERB
cana-3378	142	73	models	model	NOUN
cana-3378	142	74	.	.	PUNCT
cana-3378	143	1	interestingly	interestingly	ADV
cana-3378	143	2	,	,	PUNCT
cana-3378	143	3	the	the	DET
cana-3378	143	4	proposed	propose	VERB
cana-3378	143	5	hybrid	hybrid	NOUN
cana-3378	143	6	model	model	NOUN
cana-3378	143	7	improves	improve	VERB
cana-3378	143	8	the	the	DET
cana-3378	143	9	accuracy	accuracy	NOUN
cana-3378	143	10	of	of	ADP
cana-3378	143	11	the	the	DET
cana-3378	143	12	model	model	NOUN
cana-3378	143	13	over	over	ADP
cana-3378	143	14	the	the	DET
cana-3378	143	15	svm	svm	NOUN
cana-3378	143	16	and	and	CCONJ
cana-3378	143	17	decision	decision	NOUN
cana-3378	143	18	tree	tree	NOUN
cana-3378	143	19	models	model	NOUN
cana-3378	143	20	that	that	PRON
cana-3378	143	21	are	be	AUX
cana-3378	143	22	often	often	ADV
cana-3378	143	23	used	use	VERB
cana-3378	143	24	in	in	ADP
cana-3378	143	25	intrusion	intrusion	NOUN
cana-3378	143	26	detection	detection	NOUN
cana-3378	143	27	with	with	ADP
cana-3378	143	28	a	a	DET
cana-3378	143	29	particular	particular	ADJ
cana-3378	143	30	focus	focus	NOUN
cana-3378	143	31	on	on	ADP
cana-3378	143	32	high	high	ADJ
cana-3378	143	33	values	value	NOUN
cana-3378	143	34	of	of	ADP
cana-3378	143	35	recall	recall	NOUN
cana-3378	143	36	and	and	CCONJ
cana-3378	143	37	f1	f1	PROPN
cana-3378	143	38	score	score	NOUN
cana-3378	143	39	.	.	PUNCT
cana-3378	144	1	this	this	PRON
cana-3378	144	2	shows	show	VERB
cana-3378	144	3	that	that	SCONJ
cana-3378	144	4	the	the	DET
cana-3378	144	5	model	model	NOUN
cana-3378	144	6	can	can	AUX
cana-3378	144	7	mark	mark	VERB
cana-3378	144	8	attacks	attack	NOUN
cana-3378	144	9	with	with	ADP
cana-3378	144	10	better	well	ADJ
cana-3378	144	11	sensitivity	sensitivity	NOUN
cana-3378	144	12	and	and	CCONJ
cana-3378	144	13	with	with	ADP
cana-3378	144	14	less	less	ADV
cana-3378	144	15	false	false	ADJ
cana-3378	144	16	alarms	alarm	NOUN
cana-3378	144	17	than	than	ADP
cana-3378	144	18	in	in	ADP
cana-3378	144	19	the	the	DET
cana-3378	144	20	previous	previous	ADJ
cana-3378	144	21	case	case	NOUN
cana-3378	144	22	.	.	PUNCT
cana-3378	145	1	from	from	ADP
cana-3378	145	2	the	the	DET
cana-3378	145	3	aspect	aspect	NOUN
cana-3378	145	4	of	of	ADP
cana-3378	145	5	computational	computational	ADJ
cana-3378	145	6	efficiency	efficiency	NOUN
cana-3378	145	7	,	,	PUNCT
cana-3378	145	8	it	it	PRON
cana-3378	145	9	is	be	AUX
cana-3378	145	10	pleasant	pleasant	ADJ
cana-3378	145	11	to	to	PART
cana-3378	145	12	see	see	VERB
cana-3378	145	13	that	that	SCONJ
cana-3378	145	14	the	the	DET
cana-3378	145	15	proposed	propose	VERB
cana-3378	145	16	hybrid	hybrid	ADJ
cana-3378	145	17	cnn	cnn	PROPN
cana-3378	145	18	-	-	PUNCT
cana-3378	145	19	lstm	lstm	PROPN
cana-3378	145	20	model	model	NOUN
cana-3378	145	21	performed	perform	VERB
cana-3378	145	22	quite	quite	ADV
cana-3378	145	23	well	well	ADV
cana-3378	145	24	,	,	PUNCT
cana-3378	145	25	though	though	SCONJ
cana-3378	145	26	complex	complex	ADJ
cana-3378	145	27	in	in	ADP
cana-3378	145	28	its	its	PRON
cana-3378	145	29	structure	structure	NOUN
cana-3378	145	30	.	.	PUNCT
cana-3378	146	1	post	post	ADJ
cana-3378	146	2	-	-	ADJ
cana-3378	146	3	training	training	ADJ
cana-3378	146	4	times	time	NOUN
cana-3378	146	5	were	be	AUX
cana-3378	146	6	quite	quite	ADV
cana-3378	146	7	reasonable	reasonable	ADJ
cana-3378	146	8	and	and	CCONJ
cana-3378	146	9	within	within	ADP
cana-3378	146	10	the	the	DET
cana-3378	146	11	acceptable	acceptable	ADJ
cana-3378	146	12	duration	duration	NOUN
cana-3378	146	13	of	of	ADP
cana-3378	146	14	time	time	NOUN
cana-3378	146	15	for	for	ADP
cana-3378	146	16	the	the	DET
cana-3378	146	17	training	training	NOUN
cana-3378	146	18	epochs	epoch	NOUN
cana-3378	146	19	irrespective	irrespective	ADV
cana-3378	146	20	of	of	ADP
cana-3378	146	21	the	the	DET
cana-3378	146	22	higher	high	ADJ
cana-3378	146	23	training	training	NOUN
cana-3378	146	24	times	time	NOUN
cana-3378	146	25	especially	especially	ADV
cana-3378	146	26	at	at	ADP
cana-3378	146	27	the	the	DET
cana-3378	146	28	early	early	ADJ
cana-3378	146	29	epochs	epoch	NOUN
cana-3378	146	30	of	of	ADP
cana-3378	146	31	training	training	NOUN
cana-3378	146	32	.	.	PUNCT
cana-3378	147	1	the	the	DET
cana-3378	147	2	opportunity	opportunity	NOUN
cana-3378	147	3	to	to	PART
cana-3378	147	4	reduce	reduce	VERB
cana-3378	147	5	the	the	DET
cana-3378	147	6	set	set	NOUN
cana-3378	147	7	of	of	ADP
cana-3378	147	8	features	feature	NOUN
cana-3378	147	9	with	with	ADP
cana-3378	147	10	the	the	DET
cana-3378	147	11	help	help	NOUN
cana-3378	147	12	of	of	ADP
cana-3378	147	13	evolutionary	evolutionary	ADJ
cana-3378	147	14	algorithms	algorithm	NOUN
cana-3378	147	15	also	also	ADV
cana-3378	147	16	led	lead	VERB
cana-3378	147	17	to	to	ADP
cana-3378	147	18	the	the	DET
cana-3378	147	19	decrease	decrease	NOUN
cana-3378	147	20	of	of	ADP
cana-3378	147	21	dimensionality	dimensionality	NOUN
cana-3378	147	22	of	of	ADP
cana-3378	147	23	inputs	input	NOUN
cana-3378	147	24	which	which	PRON
cana-3378	147	25	were	be	AUX
cana-3378	147	26	used	use	VERB
cana-3378	147	27	in	in	ADP
cana-3378	147	28	the	the	DET
cana-3378	147	29	deep	deep	ADJ
cana-3378	147	30	learning	learning	NOUN
cana-3378	147	31	model	model	NOUN
cana-3378	147	32	.	.	PUNCT
cana-3378	148	1	the	the	DET
cana-3378	148	2	next	next	ADJ
cana-3378	148	3	figure	figure	NOUN
cana-3378	148	4	depicts	depict	VERB
cana-3378	148	5	the	the	DET
cana-3378	148	6	comparative	comparative	ADJ
cana-3378	148	7	training	training	NOUN
cana-3378	148	8	time	time	NOUN
cana-3378	148	9	of	of	ADP
cana-3378	148	10	the	the	DET
cana-3378	148	11	proposed	propose	VERB
cana-3378	148	12	hybrid	hybrid	ADJ
cana-3378	148	13	cnn	cnn	PROPN
cana-3378	148	14	-	-	PUNCT
cana-3378	148	15	lstm	lstm	PROPN
cana-3378	148	16	model	model	NOUN
cana-3378	148	17	and	and	CCONJ
cana-3378	148	18	the	the	DET
cana-3378	148	19	traditional	traditional	ADJ
cana-3378	148	20	models	model	NOUN
cana-3378	148	21	where	where	SCONJ
cana-3378	148	22	it	it	PRON
cana-3378	148	23	is	be	AUX
cana-3378	148	24	found	find	VERB
cana-3378	148	25	that	that	SCONJ
cana-3378	148	26	though	though	SCONJ
cana-3378	148	27	the	the	DET
cana-3378	148	28	proposed	propose	VERB
cana-3378	148	29	model	model	NOUN
cana-3378	148	30	took	take	VERB
cana-3378	148	31	more	more	ADJ
cana-3378	148	32	time	time	NOUN
cana-3378	148	33	during	during	ADP
cana-3378	148	34	initial	initial	ADJ
cana-3378	148	35	epochs	epoch	NOUN
cana-3378	148	36	it	it	PRON
cana-3378	148	37	gained	gain	VERB
cana-3378	148	38	more	more	ADJ
cana-3378	148	39	epoch	epoch	ADV
cana-3378	148	40	-	-	PUNCT
cana-3378	148	41	wise	wise	ADJ
cana-3378	148	42	training	training	NOUN
cana-3378	148	43	than	than	ADP
cana-3378	148	44	the	the	DET
cana-3378	148	45	other	other	ADJ
cana-3378	148	46	epoch	epoch	NOUN
cana-3378	148	47	-	-	PUNCT
cana-3378	148	48	wise	wise	ADJ
cana-3378	148	49	training	training	NOUN
cana-3378	148	50	of	of	ADP
cana-3378	148	51	the	the	DET
cana-3378	148	52	traditional	traditional	ADJ
cana-3378	148	53	models	model	NOUN
cana-3378	148	54	[	[	X
cana-3378	148	55	25	25	NUM
cana-3378	148	56	]	]	PUNCT
cana-3378	148	57	.	.	PUNCT
cana-3378	149	1	communications	communication	NOUN
cana-3378	149	2	on	on	ADP
cana-3378	149	3	applied	apply	VERB
cana-3378	149	4	nonlinear	nonlinear	ADJ
cana-3378	149	5	analysis	analysis	NOUN
cana-3378	149	6	issn	issn	NOUN
cana-3378	149	7	:	:	PUNCT
cana-3378	149	8	1074	1074	NUM
cana-3378	149	9	-	-	PUNCT
cana-3378	149	10	133x	133x	NUM
cana-3378	149	11	vol	vol	NOUN
cana-3378	149	12	32	32	NUM
cana-3378	149	13	no	no	NOUN
cana-3378	149	14	.	.	PUNCT
cana-3378	150	1	7s	7	NOUN
cana-3378	150	2	(	(	PUNCT
cana-3378	150	3	2025	2025	NUM
cana-3378	150	4	)	)	PUNCT
cana-3378	150	5	218	218	NUM
cana-3378	150	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	150	7	figure	figure	NOUN
cana-3378	150	8	2	2	NUM
cana-3378	150	9	:	:	PUNCT
cana-3378	150	10	training	training	NOUN
cana-3378	150	11	time	time	NOUN
cana-3378	150	12	comparison	comparison	NOUN
cana-3378	150	13	between	between	ADP
cana-3378	150	14	models	model	NOUN
cana-3378	150	15	from	from	ADP
cana-3378	150	16	figure	figure	NOUN
cana-3378	150	17	2	2	NUM
cana-3378	150	18	,	,	PUNCT
cana-3378	150	19	the	the	DET
cana-3378	150	20	training	training	NOUN
cana-3378	150	21	time	time	NOUN
cana-3378	150	22	of	of	ADP
cana-3378	150	23	the	the	DET
cana-3378	150	24	first	first	ADJ
cana-3378	150	25	epochs	epoch	NOUN
cana-3378	150	26	in	in	ADP
cana-3378	150	27	the	the	DET
cana-3378	150	28	hybrid	hybrid	NOUN
cana-3378	150	29	model	model	NOUN
cana-3378	150	30	was	be	AUX
cana-3378	150	31	higher	high	ADJ
cana-3378	150	32	as	as	SCONJ
cana-3378	150	33	compared	compare	VERB
cana-3378	150	34	to	to	ADP
cana-3378	150	35	the	the	DET
cana-3378	150	36	other	other	ADJ
cana-3378	150	37	models	model	NOUN
cana-3378	150	38	because	because	SCONJ
cana-3378	150	39	the	the	DET
cana-3378	150	40	hybrid	hybrid	NOUN
cana-3378	150	41	model	model	NOUN
cana-3378	150	42	has	have	VERB
cana-3378	150	43	two	two	NUM
cana-3378	150	44	designscnn	designscnn	NOUN
cana-3378	150	45	and	and	CCONJ
cana-3378	150	46	lstm	lstm	PROPN
cana-3378	150	47	.	.	PUNCT
cana-3378	151	1	however	however	ADV
cana-3378	151	2	,	,	PUNCT
cana-3378	151	3	as	as	ADV
cana-3378	151	4	soon	soon	ADV
cana-3378	151	5	as	as	SCONJ
cana-3378	151	6	we	we	PRON
cana-3378	151	7	reach	reach	VERB
cana-3378	151	8	the	the	DET
cana-3378	151	9	point	point	NOUN
cana-3378	151	10	on	on	ADP
cana-3378	151	11	which	which	PRON
cana-3378	151	12	the	the	DET
cana-3378	151	13	model	model	NOUN
cana-3378	151	14	starts	start	VERB
cana-3378	151	15	converging	converge	VERB
cana-3378	151	16	,	,	PUNCT
cana-3378	151	17	we	we	PRON
cana-3378	151	18	see	see	VERB
cana-3378	151	19	that	that	SCONJ
cana-3378	151	20	the	the	DET
cana-3378	151	21	hybrid	hybrid	ADJ
cana-3378	151	22	model	model	NOUN
cana-3378	151	23	converges	converge	VERB
cana-3378	151	24	faster	fast	ADV
cana-3378	151	25	than	than	ADP
cana-3378	151	26	the	the	DET
cana-3378	151	27	traditional	traditional	ADJ
cana-3378	151	28	models	model	NOUN
cana-3378	151	29	meaning	mean	VERB
cana-3378	151	30	that	that	SCONJ
cana-3378	151	31	the	the	DET
cana-3378	151	32	complexities	complexity	NOUN
cana-3378	151	33	introduced	introduce	VERB
cana-3378	151	34	by	by	ADP
cana-3378	151	35	the	the	DET
cana-3378	151	36	hybrid	hybrid	ADJ
cana-3378	151	37	architecture	architecture	NOUN
cana-3378	151	38	pay	pay	NOUN
cana-3378	151	39	in	in	ADP
cana-3378	151	40	terms	term	NOUN
cana-3378	151	41	of	of	ADP
cana-3378	151	42	its	its	PRON
cana-3378	151	43	performance	performance	NOUN
cana-3378	151	44	.	.	PUNCT
cana-3378	152	1	an	an	DET
cana-3378	152	2	additional	additional	ADJ
cana-3378	152	3	investigation	investigation	NOUN
cana-3378	152	4	of	of	ADP
cana-3378	152	5	its	its	PRON
cana-3378	152	6	generalization	generalization	NOUN
cana-3378	152	7	capacity	capacity	NOUN
cana-3378	152	8	was	be	AUX
cana-3378	152	9	performed	perform	VERB
cana-3378	152	10	based	base	VERB
cana-3378	152	11	on	on	ADP
cana-3378	152	12	its	its	PRON
cana-3378	152	13	application	application	NOUN
cana-3378	152	14	to	to	ADP
cana-3378	152	15	unseen	unseen	ADJ
cana-3378	152	16	data	datum	NOUN
cana-3378	152	17	for	for	ADP
cana-3378	152	18	various	various	ADJ
cana-3378	152	19	attacks	attack	NOUN
cana-3378	152	20	.	.	PUNCT
cana-3378	153	1	the	the	DET
cana-3378	153	2	model	model	NOUN
cana-3378	153	3	kept	keep	VERB
cana-3378	153	4	giving	give	VERB
cana-3378	153	5	high	high	ADJ
cana-3378	153	6	results	result	NOUN
cana-3378	153	7	on	on	ADP
cana-3378	153	8	the	the	DET
cana-3378	153	9	validation	validation	NOUN
cana-3378	153	10	set	set	NOUN
cana-3378	153	11	,	,	PUNCT
cana-3378	153	12	which	which	PRON
cana-3378	153	13	showed	show	VERB
cana-3378	153	14	that	that	SCONJ
cana-3378	153	15	it	it	PRON
cana-3378	153	16	had	have	AUX
cana-3378	153	17	not	not	PART
cana-3378	153	18	memorized	memorize	VERB
cana-3378	153	19	the	the	DET
cana-3378	153	20	training	training	NOUN
cana-3378	153	21	set	set	NOUN
cana-3378	153	22	.	.	PUNCT
cana-3378	154	1	the	the	DET
cana-3378	154	2	generalization	generalization	NOUN
cana-3378	154	3	performance	performance	NOUN
cana-3378	154	4	of	of	ADP
cana-3378	154	5	the	the	DET
cana-3378	154	6	hybrid	hybrid	NOUN
cana-3378	154	7	model	model	NOUN
cana-3378	154	8	is	be	AUX
cana-3378	154	9	important	important	ADJ
cana-3378	154	10	and	and	CCONJ
cana-3378	154	11	ensures	ensure	VERB
cana-3378	154	12	that	that	SCONJ
cana-3378	154	13	the	the	DET
cana-3378	154	14	model	model	NOUN
cana-3378	154	15	can	can	AUX
cana-3378	154	16	work	work	VERB
cana-3378	154	17	on	on	ADP
cana-3378	154	18	unseen	unseen	ADJ
cana-3378	154	19	data	datum	NOUN
cana-3378	154	20	because	because	SCONJ
cana-3378	154	21	the	the	DET
cana-3378	154	22	new	new	ADJ
cana-3378	154	23	and	and	CCONJ
cana-3378	154	24	unknown	unknown	ADJ
cana-3378	154	25	threat	threat	NOUN
cana-3378	154	26	appear	appear	VERB
cana-3378	154	27	more	more	ADV
cana-3378	154	28	often	often	ADV
cana-3378	154	29	than	than	SCONJ
cana-3378	154	30	expected	expect	VERB
cana-3378	154	31	.	.	PUNCT
cana-3378	155	1	the	the	DET
cana-3378	155	2	following	follow	VERB
cana-3378	155	3	diagram	diagram	NOUN
cana-3378	155	4	figure	figure	NOUN
cana-3378	155	5	3	3	NUM
cana-3378	155	6	indicates	indicate	VERB
cana-3378	155	7	accuracy	accuracy	NOUN
cana-3378	155	8	of	of	ADP
cana-3378	155	9	the	the	DET
cana-3378	155	10	identified	identify	VERB
cana-3378	155	11	hybrid	hybrid	ADJ
cana-3378	155	12	cnn	cnn	PROPN
cana-3378	155	13	-	-	PUNCT
cana-3378	155	14	lstm	lstm	PROPN
cana-3378	155	15	model	model	NOUN
cana-3378	155	16	on	on	ADP
cana-3378	155	17	unseen	unseen	ADJ
cana-3378	155	18	data	datum	NOUN
cana-3378	155	19	and	and	CCONJ
cana-3378	155	20	its	its	PRON
cana-3378	155	21	flexibility	flexibility	NOUN
cana-3378	155	22	to	to	PART
cana-3378	155	23	classify	classify	VERB
cana-3378	155	24	new	new	ADJ
cana-3378	155	25	types	type	NOUN
cana-3378	155	26	of	of	ADP
cana-3378	155	27	attacks	attack	NOUN
cana-3378	155	28	which	which	PRON
cana-3378	155	29	it	it	PRON
cana-3378	155	30	has	have	AUX
cana-3378	155	31	not	not	PART
cana-3378	155	32	learned	learn	VERB
cana-3378	155	33	from	from	ADP
cana-3378	155	34	before	before	ADV
cana-3378	155	35	.	.	PUNCT
cana-3378	156	1	figure	figure	VERB
cana-3378	156	2	3	3	NUM
cana-3378	156	3	:	:	PUNCT
cana-3378	156	4	performance	performance	NOUN
cana-3378	156	5	on	on	ADP
cana-3378	156	6	unseen	unseen	ADJ
cana-3378	156	7	data	datum	NOUN
cana-3378	156	8	table	table	NOUN
cana-3378	156	9	2	2	NUM
cana-3378	156	10	:	:	PUNCT
cana-3378	156	11	confusion	confusion	NOUN
cana-3378	156	12	matrix	matrix	NOUN
cana-3378	156	13	comparison	comparison	NOUN
cana-3378	156	14	for	for	ADP
cana-3378	156	15	different	different	ADJ
cana-3378	156	16	models	model	NOUN
cana-3378	156	17	model	model	VERB
cana-3378	156	18	true	true	ADJ
cana-3378	156	19	positive	positive	ADJ
cana-3378	156	20	false	false	ADJ
cana-3378	156	21	positive	positive	ADJ
cana-3378	156	22	true	true	ADJ
cana-3378	156	23	negative	negative	ADJ
cana-3378	156	24	false	false	ADJ
cana-3378	156	25	negative	negative	ADJ
cana-3378	156	26	hybrid	hybrid	ADJ
cana-3378	156	27	cnn	cnn	PROPN
cana-3378	156	28	-	-	PUNCT
cana-3378	156	29	lstm	lstm	ADJ
cana-3378	156	30	98.9	98.9	NUM
cana-3378	156	31	%	%	NOUN
cana-3378	156	32	1.1	1.1	NUM
cana-3378	156	33	%	%	NOUN
cana-3378	156	34	97.6	97.6	NUM
cana-3378	156	35	%	%	NOUN
cana-3378	156	36	2.4	2.4	NUM
cana-3378	156	37	%	%	NOUN
cana-3378	156	38	svm	svm	NOUN
cana-3378	156	39	89.7	89.7	NUM
cana-3378	156	40	%	%	NOUN
cana-3378	156	41	10.3	10.3	NUM
cana-3378	156	42	%	%	NOUN
cana-3378	156	43	91.1	91.1	NUM
cana-3378	156	44	%	%	NOUN
cana-3378	156	45	8.9	8.9	NUM
cana-3378	156	46	%	%	NOUN
cana-3378	156	47	decision	decision	NOUN
cana-3378	156	48	tree	tree	NOUN
cana-3378	156	49	87.5	87.5	NUM
cana-3378	156	50	%	%	NOUN
cana-3378	156	51	12.5	12.5	NUM
cana-3378	156	52	%	%	NOUN
cana-3378	156	53	90.3	90.3	NUM
cana-3378	156	54	%	%	NOUN
cana-3378	156	55	9.7	9.7	NUM
cana-3378	156	56	%	%	NOUN
cana-3378	156	57	random	random	ADJ
cana-3378	156	58	forest	forest	NOUN
cana-3378	156	59	92.2	92.2	NUM
cana-3378	156	60	%	%	NOUN
cana-3378	156	61	7.8	7.8	NUM
cana-3378	156	62	%	%	NOUN
cana-3378	156	63	94.4	94.4	NUM
cana-3378	156	64	%	%	NOUN
cana-3378	156	65	5.6	5.6	NUM
cana-3378	156	66	%	%	NOUN
cana-3378	156	67	table	table	NOUN
cana-3378	156	68	2	2	NUM
cana-3378	156	69	relates	relate	VERB
cana-3378	156	70	models	model	NOUN
cana-3378	156	71	and	and	CCONJ
cana-3378	156	72	their	their	PRON
cana-3378	156	73	confusion	confusion	NOUN
cana-3378	156	74	matrix	matrix	NOUN
cana-3378	156	75	where	where	SCONJ
cana-3378	156	76	the	the	DET
cana-3378	156	77	performance	performance	NOUN
cana-3378	156	78	of	of	ADP
cana-3378	156	79	models	model	NOUN
cana-3378	156	80	is	be	AUX
cana-3378	156	81	depicted	depict	VERB
cana-3378	156	82	based	base	VERB
cana-3378	156	83	on	on	ADP
cana-3378	156	84	tp	tp	PART
cana-3378	156	85	rate	rate	NOUN
cana-3378	156	86	,	,	PUNCT
cana-3378	156	87	fp	fp	ADJ
cana-3378	156	88	rate	rate	NOUN
cana-3378	156	89	,	,	PUNCT
cana-3378	156	90	tn	tn	NOUN
cana-3378	156	91	rate	rate	NOUN
cana-3378	156	92	,	,	PUNCT
cana-3378	156	93	and	and	CCONJ
cana-3378	156	94	fn	fn	NOUN
cana-3378	156	95	rate	rate	NOUN
cana-3378	156	96	of	of	ADP
cana-3378	156	97	each	each	DET
cana-3378	156	98	model	model	NOUN
cana-3378	156	99	.	.	PUNCT
cana-3378	157	1	as	as	SCONJ
cana-3378	157	2	is	be	AUX
cana-3378	157	3	apparent	apparent	ADJ
cana-3378	157	4	from	from	ADP
cana-3378	157	5	figure	figure	NOUN
cana-3378	157	6	8	8	NUM
cana-3378	157	7	the	the	DET
cana-3378	157	8	proposed	propose	VERB
cana-3378	157	9	hybrid	hybrid	ADJ
cana-3378	157	10	cnn	cnn	PROPN
cana-3378	157	11	-	-	PUNCT
cana-3378	157	12	lstm	lstm	PROPN
cana-3378	157	13	model	model	NOUN
cana-3378	157	14	outperforms	outperform	VERB
cana-3378	157	15	the	the	DET
cana-3378	157	16	traditional	traditional	ADJ
cana-3378	157	17	models	model	NOUN
cana-3378	157	18	by	by	ADP
cana-3378	157	19	having	have	VERB
cana-3378	157	20	low	low	ADJ
cana-3378	157	21	fpr	fpr	NOUN
cana-3378	157	22	and	and	CCONJ
cana-3378	157	23	fnr	fnr	PROPN
cana-3378	157	24	leading	lead	VERB
cana-3378	157	25	to	to	ADP
cana-3378	157	26	a	a	DET
cana-3378	157	27	more	more	ADV
cana-3378	157	28	accurate	accurate	ADJ
cana-3378	157	29	and	and	CCONJ
cana-3378	157	30	reliable	reliable	ADJ
cana-3378	157	31	ids	id	NOUN
cana-3378	157	32	.	.	PUNCT
cana-3378	158	1	communications	communication	NOUN
cana-3378	158	2	on	on	ADP
cana-3378	158	3	applied	apply	VERB
cana-3378	158	4	nonlinear	nonlinear	ADJ
cana-3378	158	5	analysis	analysis	NOUN
cana-3378	158	6	issn	issn	NOUN
cana-3378	158	7	:	:	PUNCT
cana-3378	158	8	1074	1074	NUM
cana-3378	158	9	-	-	PUNCT
cana-3378	158	10	133x	133x	NUM
cana-3378	158	11	vol	vol	NOUN
cana-3378	158	12	32	32	NUM
cana-3378	158	13	no	no	NOUN
cana-3378	158	14	.	.	PUNCT
cana-3378	159	1	7s	7	NOUN
cana-3378	159	2	(	(	PUNCT
cana-3378	159	3	2025	2025	NUM
cana-3378	159	4	)	)	PUNCT
cana-3378	159	5	219	219	NUM
cana-3378	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3378	160	1	the	the	DET
cana-3378	160	2	use	use	NOUN
cana-3378	160	3	of	of	ADP
cana-3378	160	4	the	the	DET
cana-3378	160	5	proposed	propose	VERB
cana-3378	160	6	methodology	methodology	NOUN
cana-3378	160	7	appears	appear	VERB
cana-3378	160	8	to	to	PART
cana-3378	160	9	yield	yield	VERB
cana-3378	160	10	high	high	ADJ
cana-3378	160	11	performance	performance	NOUN
cana-3378	160	12	in	in	ADP
cana-3378	160	13	multiple	multiple	ADJ
cana-3378	160	14	aspects	aspect	NOUN
cana-3378	160	15	of	of	ADP
cana-3378	160	16	intrusion	intrusion	NOUN
cana-3378	160	17	detection	detection	NOUN
cana-3378	160	18	.	.	PUNCT
cana-3378	161	1	by	by	ADP
cana-3378	161	2	using	use	VERB
cana-3378	161	3	both	both	CCONJ
cana-3378	161	4	spatial	spatial	ADJ
cana-3378	161	5	and	and	CCONJ
cana-3378	161	6	temporal	temporal	ADJ
cana-3378	161	7	feature	feature	NOUN
cana-3378	161	8	extraction	extraction	NOUN
cana-3378	161	9	by	by	ADP
cana-3378	161	10	means	mean	NOUN
cana-3378	161	11	of	of	ADP
cana-3378	161	12	hybrid	hybrid	ADJ
cana-3378	161	13	deep	deep	ADJ
cana-3378	161	14	learning	learning	NOUN
cana-3378	161	15	architectures	architecture	NOUN
cana-3378	161	16	,	,	PUNCT
cana-3378	161	17	as	as	ADV
cana-3378	161	18	well	well	ADV
cana-3378	161	19	as	as	ADP
cana-3378	161	20	optimizing	optimize	VERB
cana-3378	161	21	the	the	DET
cana-3378	161	22	feature	feature	NOUN
cana-3378	161	23	selection	selection	NOUN
cana-3378	161	24	relying	rely	VERB
cana-3378	161	25	on	on	ADP
cana-3378	161	26	the	the	DET
cana-3378	161	27	utilization	utilization	NOUN
cana-3378	161	28	of	of	ADP
cana-3378	161	29	the	the	DET
cana-3378	161	30	evolutionary	evolutionary	ADJ
cana-3378	161	31	algorithms	algorithm	NOUN
cana-3378	161	32	,	,	PUNCT
cana-3378	161	33	it	it	PRON
cana-3378	161	34	could	could	AUX
cana-3378	161	35	be	be	AUX
cana-3378	161	36	stated	state	VERB
cana-3378	161	37	that	that	SCONJ
cana-3378	161	38	the	the	DET
cana-3378	161	39	proposed	propose	VERB
cana-3378	161	40	approach	approach	NOUN
cana-3378	161	41	is	be	AUX
cana-3378	161	42	rather	rather	ADV
cana-3378	161	43	effective	effective	ADJ
cana-3378	161	44	for	for	ADP
cana-3378	161	45	usage	usage	NOUN
cana-3378	161	46	in	in	ADP
cana-3378	161	47	the	the	DET
cana-3378	161	48	context	context	NOUN
cana-3378	161	49	of	of	ADP
cana-3378	161	50	the	the	DET
cana-3378	161	51	real	real	ADJ
cana-3378	161	52	-	-	PUNCT
cana-3378	161	53	time	time	NOUN
cana-3378	161	54	network	network	NOUN
cana-3378	161	55	security	security	NOUN
cana-3378	161	56	.	.	PUNCT
cana-3378	162	1	the	the	DET
cana-3378	162	2	calculated	calculate	VERB
cana-3378	162	3	values	value	NOUN
cana-3378	162	4	of	of	ADP
cana-3378	162	5	performance	performance	NOUN
cana-3378	162	6	metrics	metric	NOUN
cana-3378	162	7	,	,	PUNCT
cana-3378	162	8	the	the	DET
cana-3378	162	9	time	time	NOUN
cana-3378	162	10	needed	need	VERB
cana-3378	162	11	to	to	PART
cana-3378	162	12	train	train	VERB
cana-3378	162	13	each	each	DET
cana-3378	162	14	model	model	NOUN
cana-3378	162	15	,	,	PUNCT
cana-3378	162	16	and	and	CCONJ
cana-3378	162	17	the	the	DET
cana-3378	162	18	confusion	confusion	NOUN
cana-3378	162	19	matrix	matrix	NOUN
cana-3378	162	20	also	also	ADV
cana-3378	162	21	support	support	VERB
cana-3378	162	22	the	the	DET
cana-3378	162	23	hypothesis	hypothesis	NOUN
cana-3378	162	24	that	that	PRON
cana-3378	162	25	the	the	DET
cana-3378	162	26	proposed	propose	VERB
cana-3378	162	27	hybrid	hybrid	ADJ
cana-3378	162	28	cnn	cnn	PROPN
cana-3378	162	29	-	-	PUNCT
cana-3378	162	30	lstm	lstm	PROPN
cana-3378	162	31	model	model	NOUN
cana-3378	162	32	has	have	VERB
cana-3378	162	33	a	a	DET
cana-3378	162	34	larger	large	ADJ
cana-3378	162	35	potential	potential	NOUN
cana-3378	162	36	than	than	ADP
cana-3378	162	37	classical	classical	ADJ
cana-3378	162	38	methods	method	NOUN
cana-3378	162	39	especially	especially	ADV
cana-3378	162	40	in	in	ADP
cana-3378	162	41	the	the	DET
cana-3378	162	42	identification	identification	NOUN
cana-3378	162	43	of	of	ADP
cana-3378	162	44	new	new	ADJ
cana-3378	162	45	and	and	CCONJ
cana-3378	162	46	sophisticated	sophisticated	ADJ
cana-3378	162	47	attacks	attack	NOUN
cana-3378	162	48	.	.	PUNCT
cana-3378	163	1	moreover	moreover	ADV
cana-3378	163	2	,	,	PUNCT
cana-3378	163	3	it	it	PRON
cana-3378	163	4	shows	show	VERB
cana-3378	163	5	good	good	ADJ
cana-3378	163	6	performance	performance	NOUN
cana-3378	163	7	improvement	improvement	NOUN
cana-3378	163	8	for	for	ADP
cana-3378	163	9	the	the	DET
cana-3378	163	10	proposed	propose	VERB
cana-3378	163	11	system	system	NOUN
cana-3378	163	12	which	which	PRON
cana-3378	163	13	also	also	ADV
cana-3378	163	14	aims	aim	VERB
cana-3378	163	15	for	for	ADP
cana-3378	163	16	scalability	scalability	NOUN
cana-3378	163	17	as	as	ADV
cana-3378	163	18	well	well	ADV
cana-3378	163	19	as	as	ADP
cana-3378	163	20	target	target	NOUN
cana-3378	163	21	host	host	NOUN
cana-3378	163	22	adaptation	adaptation	NOUN
cana-3378	163	23	of	of	ADP
cana-3378	163	24	the	the	DET
cana-3378	163	25	used	use	VERB
cana-3378	163	26	protocol	protocol	NOUN
cana-3378	163	27	in	in	ADP
cana-3378	163	28	different	different	ADJ
cana-3378	163	29	networks	network	NOUN
cana-3378	163	30	.	.	PUNCT
cana-3378	164	1	network	network	NOUN
cana-3378	164	2	traffic	traffic	NOUN
cana-3378	164	3	differs	differ	VERB
cana-3378	164	4	over	over	ADP
cana-3378	164	5	a	a	DET
cana-3378	164	6	given	give	VERB
cana-3378	164	7	period	period	NOUN
cana-3378	164	8	,	,	PUNCT
cana-3378	164	9	the	the	DET
cana-3378	164	10	new	new	ADJ
cana-3378	164	11	data	datum	NOUN
cana-3378	164	12	can	can	AUX
cana-3378	164	13	be	be	AUX
cana-3378	164	14	used	use	VERB
cana-3378	164	15	to	to	PART
cana-3378	164	16	retrain	retrain	VERB
cana-3378	164	17	a	a	DET
cana-3378	164	18	given	give	VERB
cana-3378	164	19	system	system	NOUN
cana-3378	164	20	to	to	PART
cana-3378	164	21	be	be	AUX
cana-3378	164	22	used	use	VERB
cana-3378	164	23	in	in	ADP
cana-3378	164	24	detecting	detect	VERB
cana-3378	164	25	new	new	ADJ
cana-3378	164	26	forms	form	NOUN
cana-3378	164	27	of	of	ADP
cana-3378	164	28	attacks	attack	NOUN
cana-3378	164	29	.	.	PUNCT
cana-3378	165	1	thus	thus	ADV
cana-3378	165	2	,	,	PUNCT
cana-3378	165	3	greater	great	ADJ
cana-3378	165	4	adaptability	adaptability	NOUN
cana-3378	165	5	combined	combine	VERB
cana-3378	165	6	with	with	ADP
cana-3378	165	7	high	high	ADJ
cana-3378	165	8	performance	performance	NOUN
cana-3378	165	9	and	and	CCONJ
cana-3378	165	10	low	low	ADJ
cana-3378	165	11	computational	computational	ADJ
cana-3378	165	12	complexity	complexity	NOUN
cana-3378	165	13	make	make	VERB
cana-3378	165	14	the	the	DET
cana-3378	165	15	proposed	propose	VERB
cana-3378	165	16	procedure	procedure	NOUN
cana-3378	165	17	a	a	DET
cana-3378	165	18	suitable	suitable	ADJ
cana-3378	165	19	solution	solution	NOUN
cana-3378	165	20	for	for	ADP
cana-3378	165	21	implementation	implementation	NOUN
cana-3378	165	22	in	in	ADP
cana-3378	165	23	actual	actual	ADJ
cana-3378	165	24	idss	idss	NOUN
cana-3378	165	25	.	.	PUNCT
cana-3378	166	1	v.	v.	ADP
cana-3378	166	2	conclusion	conclusion	NOUN
cana-3378	166	3	the	the	DET
cana-3378	166	4	relevance	relevance	NOUN
cana-3378	166	5	of	of	ADP
cana-3378	166	6	discrete	discrete	ADJ
cana-3378	166	7	mathematics	mathematic	NOUN
cana-3378	166	8	in	in	ADP
cana-3378	166	9	computer	computer	NOUN
cana-3378	166	10	science	science	NOUN
cana-3378	166	11	can	can	AUX
cana-3378	166	12	not	not	PART
cana-3378	166	13	be	be	AUX
cana-3378	166	14	over	over	ADV
cana-3378	166	15	emphasized	emphasize	VERB
cana-3378	166	16	as	as	SCONJ
cana-3378	166	17	it	it	PRON
cana-3378	166	18	cuts	cut	VERB
cana-3378	166	19	across	across	ADP
cana-3378	166	20	every	every	DET
cana-3378	166	21	aspect	aspect	NOUN
cana-3378	166	22	of	of	ADP
cana-3378	166	23	computer	computer	NOUN
cana-3378	166	24	science	science	NOUN
cana-3378	166	25	including	include	VERB
cana-3378	166	26	algorithm	algorithm	NOUN
cana-3378	166	27	design	design	NOUN
cana-3378	166	28	and	and	CCONJ
cana-3378	166	29	optimization	optimization	NOUN
cana-3378	166	30	,	,	PUNCT
cana-3378	166	31	description	description	NOUN
cana-3378	166	32	and	and	CCONJ
cana-3378	166	33	analysis	analysis	NOUN
cana-3378	166	34	of	of	ADP
cana-3378	166	35	networks	network	NOUN
cana-3378	166	36	and	and	CCONJ
cana-3378	166	37	computer	computer	NOUN
cana-3378	166	38	-	-	PUNCT
cana-3378	166	39	based	base	VERB
cana-3378	166	40	learning	learning	NOUN
cana-3378	166	41	.	.	PUNCT
cana-3378	167	1	its	its	PRON
cana-3378	167	2	principles	principle	NOUN
cana-3378	167	3	form	form	VERB
cana-3378	167	4	the	the	DET
cana-3378	167	5	foundation	foundation	NOUN
cana-3378	167	6	of	of	ADP
cana-3378	167	7	many	many	ADJ
cana-3378	167	8	computational	computational	ADJ
cana-3378	167	9	methods	method	NOUN
cana-3378	167	10	and	and	CCONJ
cana-3378	167	11	systems	system	NOUN
cana-3378	167	12	on	on	ADP
cana-3378	167	13	which	which	PRON
cana-3378	167	14	current	current	ADJ
cana-3378	167	15	computing	computing	NOUN
cana-3378	167	16	is	be	AUX
cana-3378	167	17	founded	found	VERB
cana-3378	167	18	.	.	PUNCT
cana-3378	168	1	the	the	DET
cana-3378	168	2	connection	connection	NOUN
cana-3378	168	3	twists	twist	VERB
cana-3378	168	4	between	between	ADP
cana-3378	168	5	discrete	discrete	ADJ
cana-3378	168	6	mathematics	mathematic	NOUN
cana-3378	168	7	and	and	CCONJ
cana-3378	168	8	computer	computer	NOUN
cana-3378	168	9	science	science	NOUN
cana-3378	168	10	in	in	ADP
cana-3378	168	11	this	this	DET
cana-3378	168	12	regard	regard	NOUN
cana-3378	168	13	still	still	ADV
cana-3378	168	14	creates	create	VERB
cana-3378	168	15	new	new	ADJ
cana-3378	168	16	frontiers	frontier	NOUN
cana-3378	168	17	in	in	ADP
cana-3378	168	18	enhancing	enhance	VERB
cana-3378	168	19	the	the	DET
cana-3378	168	20	disciplines	discipline	NOUN
cana-3378	168	21	and	and	CCONJ
cana-3378	168	22	expanding	expand	VERB
cana-3378	168	23	the	the	DET
cana-3378	168	24	frontiers	frontier	NOUN
cana-3378	168	25	of	of	ADP
cana-3378	168	26	that	that	PRON
cana-3378	168	27	which	which	PRON
cana-3378	168	28	can	can	AUX
cana-3378	168	29	be	be	AUX
cana-3378	168	30	computationally	computationally	ADV
cana-3378	168	31	solved	solve	VERB
cana-3378	168	32	.	.	PUNCT
cana-3378	169	1	its	its	PRON
cana-3378	169	2	importance	importance	NOUN
cana-3378	169	3	has	have	AUX
cana-3378	169	4	been	be	AUX
cana-3378	169	5	noted	note	VERB
cana-3378	169	6	and	and	CCONJ
cana-3378	169	7	has	have	AUX
cana-3378	169	8	been	be	AUX
cana-3378	169	9	described	describe	VERB
cana-3378	169	10	progressively	progressively	ADV
cana-3378	169	11	as	as	SCONJ
cana-3378	169	12	the	the	DET
cana-3378	169	13	center	center	NOUN
cana-3378	169	14	of	of	ADP
cana-3378	169	15	computer	computer	NOUN
cana-3378	169	16	science	science	NOUN
cana-3378	169	17	expands	expand	VERB
cana-3378	169	18	.	.	PUNCT
cana-3378	170	1	herewith	herewith	PROPN
cana-3378	170	2	,	,	PUNCT
cana-3378	170	3	the	the	DET
cana-3378	170	4	role	role	NOUN
cana-3378	170	5	of	of	ADP
cana-3378	170	6	discrete	discrete	ADJ
cana-3378	170	7	mathematics	mathematic	NOUN
cana-3378	170	8	remains	remain	VERB
cana-3378	170	9	to	to	PART
cana-3378	170	10	be	be	AUX
cana-3378	170	11	more	more	ADV
cana-3378	170	12	significant	significant	ADJ
cana-3378	170	13	as	as	SCONJ
cana-3378	170	14	computer	computer	NOUN
cana-3378	170	15	science	science	NOUN
cana-3378	170	16	progresses	progress	VERB
cana-3378	170	17	.	.	PUNCT
cana-3378	171	1	new	new	ADJ
cana-3378	171	2	issues	issue	NOUN
cana-3378	171	3	that	that	PRON
cana-3378	171	4	are	be	AUX
cana-3378	171	5	forthcoming	forthcoming	ADJ
cana-3378	171	6	in	in	ADP
cana-3378	171	7	such	such	ADJ
cana-3378	171	8	fields	field	NOUN
cana-3378	171	9	as	as	ADP
cana-3378	171	10	artificial	artificial	ADJ
cana-3378	171	11	intelligence	intelligence	NOUN
cana-3378	171	12	,	,	PUNCT
cana-3378	171	13	big	big	ADJ
cana-3378	171	14	data	datum	NOUN
cana-3378	171	15	and	and	CCONJ
cana-3378	171	16	cyber	cyber	ADJ
cana-3378	171	17	security	security	NOUN
cana-3378	171	18	will	will	AUX
cana-3378	171	19	demand	demand	VERB
cana-3378	171	20	more	more	ADJ
cana-3378	171	21	hostilities	hostility	NOUN
cana-3378	171	22	to	to	ADP
cana-3378	171	23	mathematically	mathematically	ADV
cana-3378	171	24	based	base	VERB
cana-3378	171	25	solutions	solution	NOUN
cana-3378	171	26	.	.	PUNCT
cana-3378	172	1	continued	continue	VERB
cana-3378	172	2	exploration	exploration	NOUN
cana-3378	172	3	of	of	ADP
cana-3378	172	4	discrete	discrete	ADJ
cana-3378	172	5	mathematics	mathematic	NOUN
cana-3378	172	6	and	and	CCONJ
cana-3378	172	7	continued	continued	ADJ
cana-3378	172	8	development	development	NOUN
cana-3378	172	9	of	of	ADP
cana-3378	172	10	methods	method	NOUN
cana-3378	172	11	for	for	ADP
cana-3378	172	12	its	its	PRON
cana-3378	172	13	implementation	implementation	NOUN
cana-3378	172	14	in	in	ADP
cana-3378	172	15	computer	computer	NOUN
cana-3378	172	16	science	science	NOUN
cana-3378	172	17	show	show	VERB
cana-3378	172	18	potential	potential	NOUN
cana-3378	172	19	for	for	ADP
cana-3378	172	20	future	future	ADJ
cana-3378	172	21	discovery	discovery	NOUN
cana-3378	172	22	and	and	CCONJ
cana-3378	172	23	innovation	innovation	NOUN
cana-3378	172	24	which	which	PRON
cana-3378	172	25	are	be	AUX
cana-3378	172	26	likely	likely	ADJ
cana-3378	172	27	to	to	PART
cana-3378	172	28	lead	lead	VERB
cana-3378	172	29	to	to	ADP
cana-3378	172	30	progressed	progress	VERB
cana-3378	172	31	understanding	understanding	NOUN
cana-3378	172	32	and	and	CCONJ
cana-3378	172	33	refinement	refinement	NOUN
cana-3378	172	34	of	of	ADP
cana-3378	172	35	discrete	discrete	ADJ
cana-3378	172	36	mathematics	mathematic	NOUN
cana-3378	172	37	specifically	specifically	ADV
cana-3378	172	38	,	,	PUNCT
cana-3378	172	39	as	as	ADV
cana-3378	172	40	well	well	ADV
cana-3378	172	41	as	as	ADP
cana-3378	172	42	computer	computer	NOUN
cana-3378	172	43	science	science	NOUN
cana-3378	172	44	generally	generally	ADV
cana-3378	172	45	.	.	PUNCT
cana-3378	173	1	references	reference	NOUN
cana-3378	173	2	[	[	X
cana-3378	173	3	1	1	NUM
cana-3378	173	4	]	]	PUNCT
cana-3378	173	5	cormen	corman	NOUN
cana-3378	173	6	,	,	PUNCT
cana-3378	173	7	t.	t.	PROPN
cana-3378	173	8	h.	h.	PROPN
cana-3378	173	9	,	,	PUNCT
cana-3378	173	10	leiserson	leiserson	PROPN
cana-3378	173	11	,	,	PUNCT
cana-3378	173	12	c.	c.	PROPN
cana-3378	173	13	e.	e.	PROPN
cana-3378	173	14	,	,	PUNCT
cana-3378	173	15	rivest	riv	ADJ
cana-3378	173	16	,	,	PUNCT
cana-3378	173	17	r.	r.	PROPN
cana-3378	173	18	l.	l.	PROPN
cana-3378	173	19	,	,	PUNCT
cana-3378	173	20	&	&	CCONJ
cana-3378	173	21	stein	stein	PROPN
cana-3378	173	22	,	,	PUNCT
cana-3378	173	23	c.	c.	PROPN
cana-3378	173	24	,	,	PUNCT
cana-3378	173	25	"	"	PUNCT
cana-3378	173	26	introduction	introduction	NOUN
cana-3378	173	27	to	to	ADP
cana-3378	173	28	algorithms	algorithm	NOUN
cana-3378	173	29	,	,	PUNCT
cana-3378	173	30	"	"	PUNCT
cana-3378	173	31	mit	mit	NOUN
cana-3378	173	32	press	press	NOUN
cana-3378	173	33	,	,	PUNCT
cana-3378	173	34	vol	vol	NOUN
cana-3378	173	35	.	.	PROPN
cana-3378	173	36	3	3	NUM
cana-3378	173	37	,	,	PUNCT
cana-3378	173	38	issue	issue	NOUN
cana-3378	173	39	1	1	NUM
cana-3378	173	40	,	,	PUNCT
cana-3378	173	41	pp	pp	ADJ
cana-3378	173	42	.	.	PUNCT
cana-3378	174	1	1	1	NUM
cana-3378	174	2	-	-	SYM
cana-3378	174	3	100	100	NUM
cana-3378	174	4	,	,	PUNCT
cana-3378	174	5	(	(	PUNCT
cana-3378	174	6	2009	2009	NUM
cana-3378	174	7	)	)	PUNCT
cana-3378	174	8	,	,	PUNCT
cana-3378	175	1	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	X
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cana-3378	175	3	2	2	NUM
cana-3378	175	4	]	]	X
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cana-3378	175	6	,	,	PUNCT
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cana-3378	175	8	e.	e.	PROPN
cana-3378	175	9	,	,	PUNCT
cana-3378	175	10	"	"	PUNCT
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cana-3378	175	12	art	art	NOUN
cana-3378	175	13	of	of	ADP
cana-3378	175	14	computer	computer	NOUN
cana-3378	175	15	programming	programming	NOUN
cana-3378	175	16	:	:	PUNCT
cana-3378	175	17	volume	volume	NOUN
cana-3378	175	18	1	1	NUM
cana-3378	175	19	fundamental	fundamental	ADJ
cana-3378	175	20	algorithms	algorithm	NOUN
cana-3378	175	21	,	,	PUNCT
cana-3378	175	22	"	"	PUNCT
cana-3378	175	23	addison	addison	PROPN
cana-3378	175	24	-	-	PUNCT
cana-3378	175	25	wesley	wesley	PROPN
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cana-3378	175	27	vol	vol	NOUN
cana-3378	175	28	.	.	PROPN
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cana-3378	175	30	,	,	PUNCT
cana-3378	175	31	issue	issue	NOUN
cana-3378	175	32	2	2	NUM
cana-3378	175	33	,	,	PUNCT
cana-3378	175	34	pp	pp	ADJ
cana-3378	175	35	.	.	PUNCT
cana-3378	176	1	1	1	NUM
cana-3378	176	2	-	-	SYM
cana-3378	176	3	250	250	NUM
cana-3378	176	4	,	,	PUNCT
cana-3378	176	5	(	(	PUNCT
cana-3378	176	6	1973	1973	NUM
cana-3378	176	7	)	)	PUNCT
cana-3378	176	8	,	,	PUNCT
cana-3378	177	1	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	X
cana-3378	178	1	[	[	X
cana-3378	178	2	3	3	NUM
cana-3378	178	3	]	]	X
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cana-3378	178	5	,	,	PUNCT
cana-3378	178	6	r.	r.	PROPN
cana-3378	178	7	e.	e.	PROPN
cana-3378	178	8	,	,	PUNCT
cana-3378	178	9	"	"	PUNCT
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cana-3378	178	11	structures	structure	NOUN
cana-3378	178	12	and	and	CCONJ
cana-3378	178	13	network	network	NOUN
cana-3378	178	14	algorithms	algorithm	NOUN
cana-3378	178	15	,	,	PUNCT
cana-3378	178	16	"	"	PUNCT
cana-3378	178	17	siam	siam	ADJ
cana-3378	178	18	,	,	PUNCT
cana-3378	178	19	vol	vol	NOUN
cana-3378	178	20	.	.	PROPN
cana-3378	178	21	9	9	NUM
cana-3378	178	22	,	,	PUNCT
cana-3378	178	23	issue	issue	NOUN
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cana-3378	178	25	,	,	PUNCT
cana-3378	178	26	pp	pp	ADJ
cana-3378	178	27	.	.	PUNCT
cana-3378	179	1	195	195	NUM
cana-3378	179	2	-	-	SYM
cana-3378	179	3	230	230	NUM
cana-3378	179	4	,	,	PUNCT
cana-3378	179	5	(	(	PUNCT
cana-3378	179	6	1983	1983	NUM
cana-3378	179	7	)	)	PUNCT
cana-3378	179	8	,	,	PUNCT
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cana-3378	179	11	4	4	NUM
cana-3378	179	12	]	]	PUNCT
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cana-3378	179	14	,	,	PUNCT
cana-3378	179	15	c.	c.	PROPN
cana-3378	179	16	h.	h.	PROPN
cana-3378	179	17	,	,	PUNCT
cana-3378	179	18	&	&	CCONJ
cana-3378	179	19	steiglitz	steiglitz	PROPN
cana-3378	179	20	,	,	PUNCT
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cana-3378	179	22	,	,	PUNCT
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cana-3378	179	26	:	:	PUNCT
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cana-3378	179	31	"	"	PUNCT
cana-3378	179	32	dover	dover	PROPN
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cana-3378	179	34	,	,	PUNCT
cana-3378	179	35	vol	vol	NOUN
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cana-3378	179	38	,	,	PUNCT
cana-3378	179	39	issue	issue	NOUN
cana-3378	179	40	1	1	NUM
cana-3378	179	41	,	,	PUNCT
cana-3378	179	42	pp	pp	ADJ
cana-3378	179	43	.	.	PUNCT
cana-3378	180	1	101	101	NUM
cana-3378	180	2	-	-	SYM
cana-3378	180	3	350	350	NUM
cana-3378	180	4	,	,	PUNCT
cana-3378	180	5	(	(	PUNCT
cana-3378	180	6	1998	1998	NUM
cana-3378	180	7	)	)	PUNCT
cana-3378	180	8	,	,	PUNCT
cana-3378	181	1	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	X
cana-3378	181	2	[	[	X
cana-3378	181	3	5	5	NUM
cana-3378	181	4	]	]	X
cana-3378	181	5	kleinberg	kleinberg	PROPN
cana-3378	181	6	,	,	PUNCT
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cana-3378	181	10	tardos	tardo	NOUN
cana-3378	181	11	,	,	PUNCT
cana-3378	181	12	é	é	PROPN
cana-3378	181	13	.	.	PROPN
cana-3378	181	14	,	,	PUNCT
cana-3378	181	15	"	"	PUNCT
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cana-3378	181	17	design	design	NOUN
cana-3378	181	18	,	,	PUNCT
cana-3378	181	19	"	"	PUNCT
cana-3378	181	20	pearson	pearson	PROPN
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cana-3378	181	23	vol	vol	NOUN
cana-3378	181	24	.	.	PROPN
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cana-3378	181	26	,	,	PUNCT
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cana-3378	182	1	1	1	NUM
cana-3378	182	2	-	-	SYM
cana-3378	182	3	300	300	NUM
cana-3378	182	4	,	,	PUNCT
cana-3378	182	5	(	(	PUNCT
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cana-3378	182	8	,	,	PUNCT
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cana-3378	183	6	r.	r.	PROPN
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cana-3378	183	8	&	&	CCONJ
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cana-3378	184	2	-	-	SYM
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cana-3378	184	4	,	,	PUNCT
cana-3378	184	5	(	(	PUNCT
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cana-3378	184	7	)	)	PUNCT
cana-3378	184	8	,	,	PUNCT
cana-3378	184	9	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	NUM
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cana-3378	184	13	nonlinear	nonlinear	ADJ
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cana-3378	184	15	issn	issn	NOUN
cana-3378	184	16	:	:	PUNCT
cana-3378	184	17	1074	1074	NUM
cana-3378	184	18	-	-	PUNCT
cana-3378	184	19	133x	133x	NUM
cana-3378	184	20	vol	vol	NOUN
cana-3378	184	21	32	32	NUM
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cana-3378	185	2	(	(	PUNCT
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cana-3378	185	4	)	)	PUNCT
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cana-3378	186	3	]	]	X
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cana-3378	186	27	,	,	PUNCT
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cana-3378	186	30	,	,	PUNCT
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cana-3378	187	1	1	1	NUM
cana-3378	187	2	-	-	SYM
cana-3378	187	3	470	470	NUM
cana-3378	187	4	,	,	PUNCT
cana-3378	187	5	(	(	PUNCT
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cana-3378	188	37	,	,	PUNCT
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cana-3378	188	39	.	.	PUNCT
cana-3378	189	1	1	1	NUM
cana-3378	189	2	-	-	SYM
cana-3378	189	3	550	550	NUM
cana-3378	189	4	,	,	PUNCT
cana-3378	189	5	(	(	PUNCT
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cana-3378	189	7	)	)	PUNCT
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cana-3378	190	1	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	X
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cana-3378	191	8	,	,	PUNCT
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cana-3378	191	10	approximation	approximation	NOUN
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cana-3378	191	12	,	,	PUNCT
cana-3378	191	13	"	"	PUNCT
cana-3378	191	14	springer	springer	NOUN
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cana-3378	191	19	,	,	PUNCT
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cana-3378	191	22	,	,	PUNCT
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cana-3378	191	24	.	.	PUNCT
cana-3378	192	1	1	1	NUM
cana-3378	192	2	-	-	SYM
cana-3378	192	3	170	170	NUM
cana-3378	192	4	,	,	PUNCT
cana-3378	192	5	(	(	PUNCT
cana-3378	192	6	2001	2001	NUM
cana-3378	192	7	)	)	PUNCT
cana-3378	192	8	,	,	PUNCT
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cana-3378	193	8	,	,	PUNCT
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cana-3378	193	13	,	,	PUNCT
cana-3378	193	14	"	"	PUNCT
cana-3378	193	15	mit	mit	NOUN
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cana-3378	193	17	,	,	PUNCT
cana-3378	193	18	vol	vol	NOUN
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cana-3378	193	20	3	3	NUM
cana-3378	193	21	,	,	PUNCT
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cana-3378	193	23	1	1	NUM
cana-3378	193	24	,	,	PUNCT
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cana-3378	193	26	.	.	PUNCT
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cana-3378	193	28	-	-	SYM
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cana-3378	193	30	,	,	PUNCT
cana-3378	193	31	(	(	PUNCT
cana-3378	193	32	2009	2009	NUM
cana-3378	193	33	)	)	PUNCT
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cana-3378	194	3	]	]	X
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cana-3378	194	5	,	,	PUNCT
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cana-3378	194	10	a	a	DET
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cana-3378	194	19	,	,	PUNCT
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cana-3378	194	23	,	,	PUNCT
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cana-3378	194	27	,	,	PUNCT
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cana-3378	194	32	.	.	PUNCT
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cana-3378	195	2	-	-	SYM
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cana-3378	195	4	,	,	PUNCT
cana-3378	195	5	(	(	PUNCT
cana-3378	195	6	1959	1959	NUM
cana-3378	195	7	)	)	PUNCT
cana-3378	195	8	,	,	PUNCT
cana-3378	196	1	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	PROPN
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cana-3378	197	3	]	]	X
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cana-3378	197	8	,	,	PUNCT
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cana-3378	197	10	seminumerical	seminumerical	ADJ
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cana-3378	197	12	,	,	PUNCT
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cana-3378	197	19	,	,	PUNCT
cana-3378	197	20	vol	vol	NOUN
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cana-3378	197	23	,	,	PUNCT
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cana-3378	197	26	,	,	PUNCT
cana-3378	197	27	pp	pp	ADJ
cana-3378	197	28	.	.	PUNCT
cana-3378	198	1	1	1	NUM
cana-3378	198	2	-	-	SYM
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cana-3378	198	4	,	,	PUNCT
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cana-3378	198	8	,	,	PUNCT
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cana-3378	199	3	]	]	PUNCT
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cana-3378	199	5	,	,	PUNCT
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cana-3378	199	28	,	,	PUNCT
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cana-3378	199	30	.	.	PROPN
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cana-3378	199	37	.	.	PUNCT
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cana-3378	200	2	-	-	SYM
cana-3378	200	3	545	545	NUM
cana-3378	200	4	,	,	PUNCT
cana-3378	200	5	(	(	PUNCT
cana-3378	200	6	1996	1996	NUM
cana-3378	200	7	)	)	PUNCT
cana-3378	200	8	,	,	PUNCT
cana-3378	201	1	https://doi.org/10.5555/1234567	https://doi.org/10.5555/1234567	PROPN
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cana-3378	202	2	14	14	NUM
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cana-3378	202	20	,	,	PUNCT
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cana-3378	202	22	journal	journal	NOUN
cana-3378	202	23	of	of	ADP
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cana-3378	203	2	-	-	SYM
cana-3378	203	3	1173	1173	NUM
cana-3378	203	4	,	,	PUNCT
cana-3378	203	5	(	(	PUNCT
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cana-3378	203	7	)	)	PUNCT
cana-3378	203	8	,	,	PUNCT
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cana-3378	203	14	,	,	PUNCT
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cana-3378	204	2	-	-	SYM
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cana-3378	204	4	,	,	PUNCT
cana-3378	204	5	(	(	PUNCT
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cana-3378	204	8	,	,	PUNCT
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cana-3378	206	33	-	-	PUNCT
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cana-3378	208	1	1	1	NUM
cana-3378	208	2	-	-	SYM
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cana-3378	208	5	(	(	PUNCT
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cana-3378	211	1	1	1	NUM
cana-3378	211	2	-	-	SYM
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cana-3378	211	4	,	,	PUNCT
cana-3378	211	5	(	(	PUNCT
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cana-3378	213	2	-	-	SYM
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cana-3378	213	4	,	,	PUNCT
cana-3378	213	5	(	(	PUNCT
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cana-3378	213	7	)	)	PUNCT
cana-3378	213	8	,	,	PUNCT
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cana-3378	215	2	19	19	NUM
cana-3378	215	3	]	]	PUNCT
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cana-3378	215	5	,	,	PUNCT
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cana-3378	218	2	-	-	SYM
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cana-3378	220	2	-	-	SYM
cana-3378	220	3	264	264	NUM
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cana-3378	223	2	-	-	SYM
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cana-3378	226	2	-	-	SYM
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cana-3378	226	5	(	(	PUNCT
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cana-3378	228	7	e.	e.	PROPN
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cana-3378	228	37	,	,	PUNCT
cana-3378	228	38	pp	pp	ADJ
cana-3378	228	39	.	.	PUNCT
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cana-3378	229	2	-	-	SYM
cana-3378	229	3	350	350	NUM
cana-3378	229	4	,	,	PUNCT
cana-3378	229	5	(	(	PUNCT
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cana-3378	229	7	)	)	PUNCT
cana-3378	229	8	,	,	PUNCT
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cana-3378	231	2	-	-	SYM
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cana-3378	231	4	,	,	PUNCT
cana-3378	231	5	(	(	PUNCT
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cana-3378	231	7	)	)	PUNCT
cana-3378	231	8	,	,	PUNCT
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