Overview

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.

Full Product Details

Author:   Anil Kumar Sagar (Sharda University, India) ,  Parma Nand (Sharda University, India) ,  Neetesh Kumar (IIT Roorkee, India) ,  Sanjoy Das (Indira Gandhi National Tribal Uni)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.612kg
ISBN:  

9781032164847

ISBN 10:   1032164840
Pages:   304
Publication Date:   30 January 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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

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