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Full Description
Artificial Intelligence and Machine Learning for Safety-Critical Systems: A Comprehensive Guide provides engineers and system designers who are exploring the application of AI/ML methods for safety-critical systems with a dedicated resource capturing the challenges and mitigation strategies involved in designing such systems. Divided into nine sections, the book covers the most important applications of safety-critical systems, helping readers understand how related problems are being solved in different domains/problem settings. The goal of this book is to help ensure that AI-based critical systems better utilize resources, avoid failures, and increase system safety and public safety. The authors present ML techniques in safety-critical systems across multiple domains, including pattern recognition, image processing, edge computing, Internet of Things (IoT), encryption, hardware accelerators, and many others. These applications help readers understand the many challenges that need to be addressed in order to increase the deployment of ML models in critical systems. In addition, the book shows how to improve public trust in ML systems by providing explainable model outputs rather than treating the system as a black box for which the outputs are difficult to explain. Finally, the authors demonstrate how to meet legal certification and regulatory requirements for the appropriate ML models.
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
