"This research book deals with real time applications of machine learning in cyber physical systems, for those who are working in the areas of machine learning approaches for CPS, the Internet of Things (IoT), and CPS and multidisciplinary applications of ML for CPS in the real world"--.

• Cover
• Title Page
• Copyright Page
• Book Series
• Editorial Advisory Board
• Table of Contents
• Detailed Table of Contents
• Foreword
• Preface
• Acknowledgment
• Chapter 1: A Survey on Automotive Cyber-Physical Systems
• Chapter 2: Cyber Physical Systems Emergence With Reference to Manpower Development
• Chapter 3: Machine Learning in Cyber Physical Systems for Agriculture
• Chapter 4: Differential Privacy Techniques-Based Information Security for Cyber Physical System Applications
• Chapter 5: Machine Learning in Cyber Physical Systems for Healthcare
• Chapter 6: Application of Odd-Even Congruence Graph Labeling in Secured Cyber Physical Systems
• Chapter 7: Machine Learning for Intrusion Detection Systems
• Chapter 8: Estimating the Efficiency of Machine Learning Algorithms in Predicting Seizure With Convolutional Neural Network Architecture
• Chapter 9: Crop Protection Using Cyber Physical Systems and Machine Learning for Smart Agriculture
• Chapter 10: Arrhythmia Classification Using Deep Learning Architecture
• Chapter 11: Comparing Machine Learning Algorithms and DNN for Anomaly Detection
• Chapter 12: Vascular Disease Prediction Using Retinal Image Acquisition Algorithm
• Chapter 13: Convolutional Neural Network-Based Secured Data Storage Mechanism for Big Data Environments
• Chapter 14: CluniacChain
• Chapter 15: A Cyber Physical System Framework for Industrial Predictive Maintenance Using Machine Learning
• Compilation of References
• About the Contributors
• Index