Printed from https://ideas.repec.org/b/spr/ssreng/978-3-032-13657-2.html
Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0
Editor
- Kim Phuc Tran(ENSAIT, University of Lille, GEMTEX)
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-032-13657-2
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a for a similarly titled item that would be available.
Book Chapters
The following chapters of this book are listed in IDEAS- Kim Phuc Tran, 2026. "Introduction to Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 1-5, Springer.
- M. Orabi & S. Thomassey & K. P. Tran, 2026. "Smart Manufacturing and Industry 5.0: Adding the Human Edge to Industry 4.0," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 7-17, Springer.
- M. Orabi & S. Thomassey & K. P. Tran, 2026. "Methodological Foundations of AI for Anomaly Detection in Smart Manufacturing," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 19-51, Springer.
- M. Orabi & S. Thomassey & K. P. Tran, 2026. "Deep, Generative, and Explainable Models for Anomaly Detection in Smart Manufacturing," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 53-91, Springer.
- Dac Hieu Nguyen & Dac Phuong Thao Nguyen & Quang Chieu Ta & Kim Duc Tran & Kim Phuc Tran, 2026. "Human-Centered Explainable Anomaly Detection in Smart Manufacturing: Bridging AI and Human Decision-Making in Industry 5.0," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 93-108, Springer.
- Thi Hien Nguyen & Jean-Michel Masereel & Dac Hieu Nguyen & Kim Duc Tran & Kim Phuc Tran, 2026. "Explainable Anomaly Detection with Artificial Intelligence and Statistical Methods for Predictive Maintenance in Smart Manufacturing Systems: A Survey and Perspective," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 109-122, Springer.
- Dac Hieu Nguyen & Dac Phuong Thao Nguyen & Quang Chieu Ta & Thi Diem Doan & Sébastien Thomassey & Kim Duc Tran, 2026. "Natural Language Processing Applications in Smart Manufacturing: A Survey and Perspective," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 123-145, Springer.
- T. Q. D. Pham & K. D. Tran & Khanh T. P. Nguyen & X. V. Tran & L. Köehl & K. P. Tran, 2026. "A New Framework for Prognostics in Decentralized Industries: Enhancing Fairness, Security, and Transparency Through Blockchain and Federated Learning," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 147-176, Springer.
- Viet Hieu Tran & Dac Hieu Nguyen & Kim Duc Tran & Sébastien Thomassey & Kim Phuc Tran, 2026. "Anomaly and Novelty Detection in Non-Stationary Time Series: Deep, Hybrid, and Federated Perspectives," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0, pages 177-198, Springer.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssreng:978-3-032-13657-2. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.