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Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0

Edited by Kim Phuc Tran ()

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

Date: 2026
ISBN: 978-3-032-13657-2
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Chapters in this book:

Introduction to Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0
Kim Phuc Tran
Smart Manufacturing and Industry 5.0: Adding the Human Edge to Industry 4.0
M. Orabi, S. Thomassey and K. P. Tran
Methodological Foundations of AI for Anomaly Detection in Smart Manufacturing
M. Orabi, S. Thomassey and K. P. Tran
Deep, Generative, and Explainable Models for Anomaly Detection in Smart Manufacturing
M. Orabi, S. Thomassey and K. P. Tran
Human-Centered Explainable Anomaly Detection in Smart Manufacturing: Bridging AI and Human Decision-Making in Industry 5.0
Dac Hieu Nguyen, Dac Phuong Thao Nguyen, Quang Chieu Ta, Kim Duc Tran and Kim Phuc Tran
Explainable Anomaly Detection with Artificial Intelligence and Statistical Methods for Predictive Maintenance in Smart Manufacturing Systems: A Survey and Perspective
Thi Hien Nguyen, Jean-Michel Masereel, Dac Hieu Nguyen, Kim Duc Tran and Kim Phuc Tran
Natural Language Processing Applications in Smart Manufacturing: A Survey and Perspective
Dac Hieu Nguyen, Dac Phuong Thao Nguyen, Quang Chieu Ta, Thi Diem Doan, Sébastien Thomassey and Kim Duc Tran
A New Framework for Prognostics in Decentralized Industries: Enhancing Fairness, Security, and Transparency Through Blockchain and Federated Learning
T. Q. D. Pham, K. D. Tran, Khanh T. P. Nguyen, X. V. Tran, L. Köehl and K. P. Tran
Anomaly and Novelty Detection in Non-Stationary Time Series: Deep, Hybrid, and Federated Perspectives
Viet Hieu Tran, Dac Hieu Nguyen, Kim Duc Tran, Sébastien Thomassey and Kim Phuc Tran

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DOI: 10.1007/978-3-032-13657-2

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