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Real-time Applications of Machine Learning in Cyber-physical Systems (Advances in Computational Intelligence and Robotics)


Book Informaton

Real-time Applications of Machine Learning in Cyber-physical Systems (Advances in Computational Intelligence and Robotics)

Author

Balamurugan Easwaran (editor), Kamal Kant Hiran (editor), Sangeetha Krishnan (editor), Ruchi Doshi (editor)

Year of Publication

2022

Publisher

Engineering Science Reference

Language

en

ISBN

1799893081, 9781799893080

ARI Id

1673572640884


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Showing 1 to 20 of 20 entries
Chapters/HeadingsAuthor(s)PagesInfo
Book Series
Editorial Advisory Board
Detailed Table of Contents
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
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 20 entries