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Transfer Learning Autoencoder Neural Networks For Anomaly Detection In Malware Infected IoT Devices / Unsub Shafiq

TextIslamabad : SEECS, NUST, 2022Description: 55 pSubject(s): MS-Computer ScienceDDC classification: 200 Online resources: Click here to access online

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Soft Copy	Central Library (CL)	Central Library (CL)	Thesis	200 (Browse shelf)	Available		CL-T-6516

Total holds: 0

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Previous	200 A Novel Asymmetric Multilevel Inverter Topology Based On SPWM Switching Strategy /	200 Automating Discovery of Vulnerabilities in Network Protocols Through Fuzz Testing /	200 A Forensic Framework for Webmail Threat Monitoring and Log Analysis /	200 Transfer Learning Autoencoder Neural Networks For Anomaly Detection In Malware Infected IoT Devices /	200 Attention based Zero Shot Learning /	200 Pose Calibrated Feature Aggregation for Robust Video Face Recognition in Unconstrained Environments /	200 Identification of Cellularity, Megakaryocytes and Reticulin in microscopic images of Bone Marrow Trephines via Artificial Intelligence /	Next

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