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.

• Erscheinungsdatum: 20.01.2025
• Autor/Autorin: Hoang Pham
• Reihe: Mathematics and Statistics (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 14.2 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 350 Seiten
• ISBN: 9783031726361
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.