Analytics Modeling in Reliability and Machine Learning and Its Applications

Author:   Hoang Pham
Publisher:   Springer International Publishing AG
ISBN:  

9783031726385


Pages:   349
Publication Date:   21 January 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Analytics Modeling in Reliability and Machine Learning and Its Applications


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Full Product Details

Author:   Hoang Pham
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031726385


ISBN 10:   3031726383
Pages:   349
Publication Date:   21 January 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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.

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Author Information

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.

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