A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /

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Bibliografiske detaljer
Hovedforfatter:	Shadman, Samin
Institution som forfatter:	Supervised by Maj Md Abdul Wahed (Instructor Class B , Dept. of EECE, MIST, Dhaka)
Format:	Bog
Sprog:	engelsk
Udgivet:	Dhaka : EECE DEPT. MIST, c2026.
Fag:	Electrical, Electronic and Communication Engineering. This Thesis Paper of EECE in BSc Program.
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker: A COMPARATIVE BEHAVIOURAL STUDY OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR NETWORK INTRUSION DETECTION ACROSS DATASETS OF DIFFERING STATISTICAL CHARACTER /

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