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

Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0 Theories, Applications and Case Studies

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.05.2026

Abbildungen

IX, 1 illus., schwarz-weiss Illustrationen

Herausgeber

Kim Phuc Tran

Verlag

Springer

Seitenzahl

198

Maße (L/B/H)

24.1/16/1.7 cm

Gewicht

481 g

Sprache

Englisch

ISBN

978-3-032-13656-5

Beschreibung

Portrait

Dr. habil. Kim Phuc Tran is a Senior Associate Professor (Maître de Conférences HDR) at ENSAIT – University of Lille , France, and Senior Researcher at the GEMTEX Laboratory . He also serves as Founding Director of the International Chair in Data Science & Explainable AI at Dong A University (Vietnam).

His research focuses on Industrial AI , Explainable and Federated Learning , Edge Intelligence , and Hybrid Modeling (Physics & Data) , with applications spanning Smart Manufacturing , Healthcare , and Energy Systems .

He has authored over 75 international publications, edited several Springer volumes, and serves on editorial boards including IEEE Transactions on Intelligent Transportation Engineering Applications of Artificial Intelligence .

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.05.2026

Abbildungen

IX, 1 illus., schwarz-weiss Illustrationen

Herausgeber

Kim Phuc Tran

Verlag

Springer

Seitenzahl

198

Maße (L/B/H)

24.1/16/1.7 cm

Gewicht

481 g

Sprache

Englisch

ISBN

978-3-032-13656-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0
  • Introduction to Human-Centered Explainable Anomaly Detection for Smart Manufacturing in Industry 5.0.- Anomaly Detection for Catalyzing Operational Excellence in Complex Manufacturing Processes: A.- Survey and Perspective.- System Reliability: Inference for Common Cause Failure Model in Contexts of Missing Information.- .- Predictive maintenance enabled by a Light-Weight Federated Learning in Smart Manufacturing: Remaining Useful Lifetime Prediction.- Explainable Trustworthy, and Transparent Artificial Intelligence for Reliability Engineering and Safety Applications.- Human-Centered Explainable Anomaly Detection for Predictive Maintenance.- .- Reliability and Risk Assessment with Human-Centered Explainable Anomaly Detection.- An Human-Centered Explainable Anomaly Detection Framework for Safety and Reliability Engineering.- Wearable Technology for Workplace Safety with Human-Centered Explainable Anomaly Detection.- Safety and Reliability of Human-Centered Explainable Anomaly Detection systems.- Physics-informed machine learning for Human-Centered Explainable Anomaly Detection systems.