Artificial Intelligence for Safety and Reliability Engineering

Edited by Kim Phuc Tran ()

in Springer Series in Reliability Engineering from Springer, currently edited by Hoang Pham

Date: 2024
ISBN: 978-3-031-71495-5
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Chapters in this book:

Introduction to Artificial Intelligence for Safety and Reliability Engineering

Kim Phuc Tran

Physics-Informed Machine Learning for Industrial Reliability and Safety Engineering: A Review and Perspective

Dac Hieu Nguyen, Thi Hien Nguyen, Kim Duc Tran and Kim Phuc Tran

Predictive Maintenance Optimization Based on Genetic Algorithms for Future Industrial Systems

Hai-Canh Vu, Kim Duc Tran, Viet Hieu Tran and Kim Phuc Tran

Anomaly Detection for Catalyzing Operational Excellence in Complex Manufacturing Processes: A Survey and Perspective

Moussab Orabi, Kim Phuc Tran, Sébastien Thomassey and Philip Egger

Human-Centered Edge Artificial Intelligence for Smart Factory Applications in Industry 5.0: A Review and Perspective

Le Hoang Nguyen, Kim Duc Tran, Xianyi Zeng and Kim Phuc Tran

Enhancing Trustworthiness in AI-Based Prognostics: A Comprehensive Review of Explainable AI for PHM

Duc An Nguyen, Khanh T. P. Nguyen and Kamal Medjaher

Human Robot Collaboration

Mourad Benoussaad

Human-Centered Edge AI and Wearable Technology for Workplace Health and Safety in Industry 5.0

Tho Nguyen, Dac Hieu Nguyen, Quoc-Thông Nguyen, Kim Duc Tran and Kim Phuc Tran

Safety and Reliability of Artificial Intelligence Systems

Thi Hien Nguyen, Aamir Saghir, Kim Duc Tran, Dac Hieu Nguyen, Nguyen Anh Luong and Kim Phuc Tran

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DOI: 10.1007/978-3-031-71495-5

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