Artificial Intelligence in Safety Science and Engineering

The 1st Edition of Artificial Intelligence in Safety Science and Engineering provides a systematic examination of modern computational tools used to protect industrial facilities. The volume outlines the fundamentals of machine learning and deep learning methods before detailing advanced techniques for process risk assessment and management in chemical process engineering.

By combining theoretical overviews with case studies from real-world applications and detailed methodology guidelines, the content supports experimental design and practical troubleshooting during active system deployment. It captures recent developments in smart artificial intelligence applied to industrial chemistry, explaining how numerical models handle operational variables in complex plant environments.

Specialized topical sections cover the smart detection and localization of gas leakage as well as automated frameworks for intelligent incident prediction and prevention. This text directly supports academics, university students, and dedicated researchers working in the process safety domain, particularly those evaluating chemical processes at the industrial level.