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Machine Learning for Cyber Physical System: Advances and Challenges
Machine Learning for Cyber Physical System: Advances and Challenges
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ISBN No.: 9783031540370
Pages: xvi, 406
Year: 202404
Format: Trade Cloth (Hard Cover)
Price: $ 275.99
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

SMOTE Integrated Adaptive Boosting Framework for Network Intrusion Detection.- An In-depth Analysis of Cyber-Physical Systems: Deep Machine Intelligence based Security Mitigations.- Unsupervised approaches in anomaly detection.- Profiling and Classification of IoT Devices for Smart Home Environments.- Application of Machine Learning to Improve Safety in the Wind Industry.- Malware Attack Detection in Vehicle Cyber Physical System for Planning and Control using Deep Learning.- Unraveling what is at stake in the intelligence of autonomous cars.- Intelligent Under-Sampling based Ensemble Techniques for Cyber-Physical Systems in Smart Cities.


- Application of Deep Learning in Medical Cyber-Physical Systems.- Risk Assessment and Security of Industrial Internet of Things Network using Advance Machine Learning.- Machine Learning Based Intelligent Diagnosis of Brain Tumor: Advances and Challenges.- Cyber-Physical Security in Smart Grids: A Holistic View with Machine Learning Integration.- Intelligent Biometric Authentication-based Intrusion Detection in Medical Cyber Physical System using Deep Learning.- Current datasets and their inherent challenges for Automatic Vehicle Classification.


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Browse Subject Headings