Analytics Modeling in Reliability and Machine Learning and Its Applications

Analytics Modeling in Reliability and Machine Learning and Its Applications

Pham, Hoang

Springer International Publishing AG

02/2025

314

Dura

9783031726354

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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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Feature selection;Machine learning;Data science;Deep Learning;Reliability;Analytics;Analytical modeling;Decision-Making;Statistical inference;Business analytics;AI;Modeling and algorithms;Optimization