Machine Learning for Cyber Physical System: Advances and Challenges

AvJanmenjoy Nayak,Bighnaraj Naik

Häftad, Engelska, 2025

Del 60 i serien Intelligent Systems Reference Library

1 901 kr

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Beskrivning

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues.

Produktinformation

Utgivningsdatum:2025-04-12
Mått:155 x 235 x 23 mm
Vikt:639 g
Format:Häftad
Språk:Engelska
Serie:Intelligent Systems Reference Library
Antal sidor:406
Förlag:Springer International Publishing AG
ISBN:9783031540400

Utforska kategorier

Innehållsförteckning

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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