Buch
Applications in Reliability and Statistical Computing
Hoang Pham (Hrsg.)
181,89
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Springer Series in Reliability Engineering |
Sprache | : | Englisch |
Erschienen | : | 16. 02. 2024 |
Seiten | : | 302 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 486 g |
ISBN | : | 9783031212345 |
Sprache | : | Englisch |
Illustrationen | : | XIII, 302 p. 99 illus., 82 illus. in color. |
Autorinformation
Dr. Hoang Pham is Distinguished Professor and former Chairman (2007–2013) of the Department of Industrial and Systems Engineering at Rutgers University, New Jersey. Before joining Rutgers, he was Senior Engineering Specialist with the Boeing Company and the Idaho National Engineering Laboratory. He has been served as Editor-in-Chief, Editor, Associate Editor, Guest Editor, and Board Member of many journals. He is Editor of Springer Book Series in Reliability Engineering and has served as Conference Chair and Program Chair of over 40 international conferences. He is Author or Co-author of 6 books and has published over 200 journal articles, 100 conference papers, and edited 17 books including Springer Handbook in Engineering Statistics and Handbook in Reliability Engineering. He has delivered over 40 invited keynote and plenary speeches at many international conferences and institutions. His numerous awards include the 2009 IEEE Reliability Society Engineer of theYear Award. He is Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).
Inhaltsverzeichnis
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.