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Full Description
Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide serves as a vital reference for engineers and system designers seeking to integrate AI and ML techniques into safety-critical environments. The book is meticulously structured into nine sections, each focusing on core applications and challenges unique to these high-stakes systems. Readers are guided through strategies that optimize resources, minimize failures, and bolster both system and public safety. With its practical approach, the guide aims to bridge the gap between advanced AI solutions and the rigorous demands of safety-critical industries.
The book also delves into diverse domains such as pattern recognition, image processing, edge computing, IoT, encryption, and hardware accelerators. Each application area is explored to reveal the unique hurdles and solutions in deploying ML models in safety-sensitive contexts. Finally, the authors also emphasize the importance of explainable AI, ensuring model outputs are transparent and trustworthy rather than opaque. To further strengthen confidence in these systems, the text discusses legal, certification, and regulatory aspects, equipping readers with the tools necessary to achieve compliance and public trust.
Contents
Introduction to AI and Machine Learning for Safety-Critical Systems
Section 1: Healthcare
1. Robotics surgery
2. Bio signal processing
3. Medical imaging
4. Medical devices and Life support systems
Section 2: Transportation
5. Autonomous driving
6. Railway transportation
7. Air transportation
8. Roadway transportation
Section 3: Avionics and Space
9. Space systems
10. Rovers for space
11. Satellite communications
12. Radiation related issues
Section 4: Finance
13. Banking systems
14. Business analysis
15. Taxation
16. Loans and Investment
17. Fraud prevention
Section 5: Utility systems
18. Waste-water supply systems
19. Natural gas distribution
20. Power grid distribution
21. Weather systems
Section 6: Manufacturing
22. Heavy Industry
23. Drug manufacturing
24. Electronics manufacturing
25. Food industry
26. Mining industry
Section 7: Telecommunication and Infrastructure
27. Internet of things
28. Sensing technology
29. Distributed communication
30. Communication and controls
31. Radio environment
Section 8: Security and compliance
32. Admin and public services
33. Encryption/decryption
34. Cybersecurity
35. System Monitoring and Intrusion detection system
Section 9: Nuclear systems
36. Nuclear controller and cooling systems
37. Nuclear leak and radiation detections
38. Reactor protection system
39. Nuclear core reactor
40. Management systems for nuclear facility
