Artificial Intelligence in Cyber-Physical Systems

Principles and Applications

Anil Kumar Sagar, Parma Nand, Neetesh Kumar, Sanjoy Das, Subrata Sahana, Anil Kumar Sagar, Parma Nand, Neetesh Kumar, Sanjoy Das, Subrata Sahana

• Publisher: CRC Press
• Year: 2023
• Print ISBN: 9781032164830
• eBook ISBN: 9781000845501
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

Artificial Intelligence (AI) and the Internet of Things (IoT) are growing rapidly in today's business world. In today's era, 25 billion devices, including machines, sensors, and cameras, are connected and continue to grow steadily. It is assumed that in 2025, 41.6 billion IoT devices will be connected, generating around 79.4 zettabytes of data.

IoT and AI are intersecting in various scenarios. IoT-enabled devices are generating a huge amount of data, and with the help of AI, this data is used to build various intelligent models. These intelligent models are helpful in our daily lives and make the world smarter.

Artificial Intelligence in Cyber Physical Systems: Principles and Applications addresses issues related to system safety, security, reliability, and deployment strategies in healthcare, military, transportation, energy, infrastructure, smart homes, and smart cities.

Table of contents

• Cover
• Half Title Page
• Series Page
• Title Page
• Copyright Page
• Table of Contents
• List of Figures
• List of Tables
• Preface
• Editors
• Contributors
• About This Book
• Chapter 1 Mood-Detection–Based Media Recommendation
• Chapter 2 AI- and IoT-Based Body Sensor Networks for Healthcare System: A Systematic Review
• Chapter 3 On the Convergence of Blockchain and IoT for Enhanced Security
• Chapter 4 Artificial Intelligence in Cloud Computing
• Chapter 5 Current and Future Trends in an Intelligent Transportation System with Applications of AI
• Chapter 6 Intelligent 5G Networks and Augmented Virtual Reality in Smart Transportation
• Chapter 7 Cyber-Physical Security Issues and Challenges Using Machine Learning and Deep Learning Technologies
• Chapter 8 Brain MRI Image Active Contour Segmentation for Healthcare Systems
• Chapter 9 Machine Learning Techniques Applied to Extract Objects from Images: Research Issues Challenges and a Case Study
• Chapter 10 AI and IoT-Enabled Technologies and Applications for Smart City
• Chapter 11 Blood Cancer Classification with Gene Expression Using Modified Convolutional Neural Network Approach
• Chapter 12 An Introspective Approach to Fathom Human-Inspired Bipedal Walk Using Gait Analysis for the Matrix of Cyber-Physical System
• Chapter 13 Capacitated Vehicle Routing Problem Using Algebraic Particle Swarm Optimization with Simulated Annealing Algorithm
• Chapter 14 An Innovative Smart IoT Device to Measure and Monitor Patient’s Critical Parameters in Hospitals
• Chapter 15 Health Analysis by Digital Doctor Using Deep Neural Network
• Chapter 16 AI and IoT in Supply Chain Management and Disaster Management
• Chapter 17 Cyborgs: A Coming Era
• Index