Applications in Reliability and Statistical Computing
This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover bot...
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2023, 2023
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| Edition: | 1st ed. 2023 |
| Series: | Springer Series in Reliability Engineering
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 1.Forecasting The Long-Term Growth of S&P 500 Index
- 2.Smart Maintenance and Human Factor Modeling for Aircraft Safety
- 3.Feedback-based algorithm for negotiating human preferences and making risk assessment decisions
- 4.Joining Aspect Detection and Opinion Target Expression based on Multi-Deep Learning Models
- 5.Voting Systems with Supervising Mechanisms
- 6.Assessing the Severity of COVID-19 in the United States
- 7.Promoting expert knowledge for comprehensive human risk management in industrial environments
- 8.Data Quality Assessment for ML Decision-Making
- 9.From Holistic Health to Holistic Reliability – Toward an Integration of Classical Reliability with Modern Big-data Based Health Monitoring
- 10.On the Aspects of Vitamin D and COVID-19 Infections and Modeling Time-delay Body's Immune System With Time-dependent Effects of Vitamin D and Probiotic
- 11.A Staff Scheduling Problem of Customers with Reservations in ConsiderationWith Expected Wait Time of a Customer Without Reservation
- 12.Decision Support System for Ranking of Software Reliability Growth Models
- 13.Human Pose Estimation using Artificial Intelligence
- 14.Neural Network Modeling and What-if Scenarios: Applications for Market Development Forecasting
- 15.Mental Health Studies: A Review