Buch, Englisch, 368 Seiten, Format (B × H): 156 mm x 234 mm
Buch, Englisch, 368 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Future Generation of Soft and Intelligent Computing
ISBN: 978-1-032-75431-4
Verlag: CRC Press
The reference text discusses the evolution of blockchain and artificial intelligence technology, from fundamental theories to their practical applications in various sectors of Industry 4.0 such as intelligent transportation systems, healthcare, smart cities, supply chain management, and smart grids. It further discusses blockchain in digital forensics and threat hunting, and blockchain for data analytics.
- Address the challenges in designing blockchain-based secured solutions for Industry 5.0 applications using artificial intelligence.
- Discuss blockchain and artificial intelligence-based authentication, and accounting mechanisms for Industry 5.0.
- Covers automated industry 5.0 systems for fault detection, smart factory architecture, infrastructure, and design of manufacturing systems.
- Showcases artificial intelligence solutions for software-defined networks, blockchain for data analytics, and artificial intelligence for healthcare 5.0.
- Explores the use of artificial intelligence in cyber-physical systems, social networking, crowdsensing, 5G, edge, and cloud computing.
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, manufacturing engineering, industrial engineering, and computer engineering.
Zielgruppe
Academic and Postgraduate
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Systematic Analysis of Cost-Efficiency Models in Cloud Computing Platforms. 2. IIOT: Machine Learning-Based Predictive Maintenance in Industrial Management System. 3. Artificial Intelligence for Industry 5.0: Concepts, Applications, and Future Directions. 4. Explainable Machine Learning and Deep Learning Models for Trustworthy Real-World Applications. 5. Secure and Explainable Predictive Maintenance Systems: Reliability, Transparency, and Industrial Impact. 6. AI-Driven Edge Computing Framework for Real-Time Smart IoT Applications. 7. A Systematic Review of Resource Allocation and Scheduling Techniques in Cloud Environments. 8. Explainable and Ethical Artificial Intelligence: Bridging Transparency, Fairness, and Trust in Intelligent Systems. 9. Sustainable and Green Artificial Intelligence for Next-Generation Intelligent Systems. 10. Big Data Analytics for Intelligent and Adaptive Decision-Making in Modern Systems. 11. Deep Learning-Enabled Intrusion Detection System for IoT Security Enhancement. 12. Digital Twin–Driven Smart Manufacturing: Architecture, Applications, and Future Directions. 13. IoT-Based Smart Healthcare Monitoring System Using Wearable Sensors and AI. 14. Human–Machine Collaborative Intelligence: Models, Applications, and Future Directions. 15. Human-Centric Cybersecurity and Privacy Frameworks for Industry 5.0: Challenges, Technologies, and Future Directions. 16. Explainable Artificial Intelligence for Trustworthy Smart IoT Decision Systems. 17. A Critical Review of Security and Privacy Concerns in Cloud Computing Systems. 18. Edge Computing–Driven Intelligent Automation: Architectures, Technologies, and Future Industrial Applications. 19. Big Data Analytics for Intelligent and Secure Industrial Systems: Architectures and Future Directions. 20. Secure and Intelligent Industrial Internet of Things: Frameworks, Applications, and Future Directions.




