Smart Technologies and Artificial Intelligence in Safety Engineering
Language: English
Published by Elsevier Science, 2026
- Softcover
- New

Seller: moluna, Greven, Germanymoluna
AbeBooks seller since July 9, 2020
Condition: New
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Add to basketItem description from seller
Outlines the fundamentals of machine/deep learning methods applicable to process safetyDetails advanced machine and deep learning methodologies for risk assessment and management in chemical process engineeringOffer theoretical and.
Seller Inventory # 2769883031
- Title
- Smart Technologies and Artificial Intelligence in Safety Engineering
- Publisher
- Elsevier Science
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443363420
- ISBN 13
- 9780443363429
Artificial Intelligence in Safety Science and Engineering will be a valuable resource for academics, students and researchers working in the process safety domain, particularly those working with chemical processes at the industrial level. This book will also be a useful guide for government policy makers and decision makers in industry focusing on process safety regulation, standards, legislation and risk management.
- Outlines the fundamentals of machine/deep learning methods applicable to process safety
- Details advanced machine and deep learning methodologies for risk assessment and management in chemical process engineering
- Offer theoretical and practical advice for using smart technology for process fault diagnosis and prognosis
- Discusses recent advances in smart AI techniques to process safety, as applied to industrial chemistry and chemical processes
- Covers applications of smart technology and AI in human behavior analysis for risk analysis
"Synopsis" may belong to another edition of this title.
About the Author
Jihao Shi is a Research Assistant Professor of Dept of Building Environment and Energy Engineering at The Hong Kong Polytechnic University. received his BEng (First Class) degree and PhD degree from China University of Petroleum in 2013, and 2018, respectively. Dr Shi was also a China Scholarship Council (CSC) visiting PhD student of Curtin University in Australia from 2016 to 2018. Before joining PolyU, he worked as an Associate Professor and Postdoctoral Researcher at China University of Petroleum. Dr Shi’s research interests focus on physics-based AI for process safety management. Based on these research topics, Dr Shi has published 50+ SCI journal papers including 31 papers as the first/corresponding author. His works were funded by National Key R&D Program of China, NSFC and various industrial partners etc. Dr Shi is an associate editor of Petroleum science and served as the chief Guest Editors of Reliability Engineering & System Safety, Process Safety and Environmental Protection. He is also a winner of the Best PhD Thesis of Safety Science and Engineering in China.
Ming Yang is an Assistant Professor in the section of Safety and Security Science at Delft University of Technology. His scientific work evolves around reliability, risk, and resilience modelling to support safety and security-related decision-making problems in the process industries and offshore operations. He holds a B.Eng in Chemical and Material Engineering and minor in Management Science, a MSc. in Environmental System Engineering, and a PhD in Oil and Gas Engineering. He is Associate Editor of ACS Journal of Chemical Health and Safety, Subject Editor of Process Safety and Environmental Protection, Safety in Extreme Environments, Editorial Board Member of Journal of Loss Prevention in the Process Industries, Engineering Applications of Artificial Intelligence, and Hygiene and Environmental Health Advances.
"About the title" may belong to another edition of this title.
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