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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Dettagli Bibliografici
Autore principale:	Shadman, Samin
Ente Autore:	Supervised by Maj Md Abdul Wahed (Instructor Class B , Dept. of EECE, MIST, Dhaka)
Natura:	Libro
Lingua:	inglese
Pubblicazione:	Dhaka : EECE DEPT. MIST, c2026.
Soggetti:	Electrical, Electronic and Communication Engineering. This Thesis Paper of EECE in BSc Program.
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