Produktbild: Analytics Modeling in Reliability and Machine Learning and Its Applications
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.01.2026

Herausgeber

Hoang Pham

Verlag

Springer

Seitenzahl

349

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

618 g

Sprache

Englisch

ISBN

978-3-031-72638-5

Beschreibung

Portrait

Hoang Pham is Distinguished Professor and former Chairman (2007-2013) of the Department of Industrial and Systems Engineering at Rutgers University. Before joining Rutgers in 1993, he was Senior Engineering Specialist with the Idaho National Engineering Laboratory, Idaho Falls, Idaho and Boeing Company in Seattle, Washington. His research areas include reliability modeling and prediction, software reliability, and statistical inference. He is Editor-in-Chief of the International Journal of Reliability, Quality and Safety Engineering and Editor of Springer Series in Reliability Engineering and has been Conference Chair and Program Chair of over 50 international conferences and workshops. Dr. Pham is Author or Co-author of 7 books and has published over 220 journal articles, 100 conference papers, and edited 17 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 50 invited keynote and plenary speeches at many international conferences and institutions. His numerous awards include the 2009 IEEE Reliability Society Engineer of the Year Award. He is Fellow of the IEEE, AAIA, and IISE.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.01.2026

Herausgeber

Hoang Pham

Verlag

Springer

Seitenzahl

349

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

618 g

Sprache

Englisch

ISBN

978-3-031-72638-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Analytics Modeling in Reliability and Machine Learning and Its Applications
  • Preface.- 1.  Reliability Analysis For Inventory Management For Repair Parts Based on Imperfect Data.-2.  Improved Industrial Risk Analysis via a Human Factor-driven Bayesian Network Approach.- 3. Unsupervised Representation Learning Approach for Intrusion Detection in the Industrial Internet of Things Network Environment.- 4. Aero-engine Life Prediction Based on ARIMA and LSTM with Multi-Head Attention Mechanism.- 5.  Human-Machine Integration to Strengthen Risk Management in the Winemaking Industry.- 6.  One-Class Classification for Credit Card Fraud Detection: A Detailed Study with Comparative Insights from Binary Classification.- 7.   Performance Analysis of Big Transfer Models on Biomedical Image Classification.- 8.   Machine Learning Approach for Testing the Efficiency of Software Reliability Estimators of Weibull Class Models.- 9.   Holistic Perishable Pharmaceutical Inventory Management System.- 10.   Optimum Switch Self-Check Interval for Safety-Critical Device Mission Reliability.- 11.   Accurate Estimation of Cargo Power Using Machine Learning Algorithms.- 12.   Digital Transformation in Software Quality Assurance.- 13.   Stress Studies:  A Review.- 14.   Higher Order Dynamic Mode Decomposition-based Timeseries Forecasting for Covid-19.- 15.   System Trustability: New Concept and Applications.- 16. Digital Twin Implementation in Small and Medium Size Enterprises: A Case Study.- 17. Software Reliability Modeling: A Review.