Applications in Reliability and Statistical Computing

ISBN-13: 9783031212314 / Angielski / Twarda / 2023 / 310 str.

Hoang Pham

Opis

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 both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Spis treści

1.Forecasting The Long-Term Growth of S&P 500 Index

Stephen H.-T. Lihn

2.Smart Maintenance and Human Factor Modeling for Aircraft Safety

Eric T. T. Wong and W. Y. Man

3.Feedback-based algorithm for negotiating human preferences and making risk assessment decisions 

Silvia Carpitella, Antonella Certa, and Joaquín Izquierdo

4.Joining Aspect Detection and Opinion Target Expression based on Multi-Deep Learning Models

Bui Thanh Hung

5.Voting Systems with Supervising Mechanisms

Tingnan Lin and Hoang Pham

6.Assessing the Severity of COVID-19 in the United States

Kehan Gao, Sarah Tasneem, and Taghi Khoshgoftaar

7.Promoting expert knowledge for comprehensive human risk management in industrial environments

Ilyas Mzougui, Silvia Carpitella, and Joaquín Izquierdo

8.Data Quality Assessment for ML Decision-Making

Alexandra-Ștefania Moloiu, Grigore Albeanu, Henrik Madsen, and Florin Popențiu- Vlădicescu

9.From Holistic Health to Holistic Reliability – Toward an Integration of Classical Reliability with Modern Big-data Based Health Monitoring

Fengbin Sun

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

Hoang Pham

11.A Staff Scheduling Problem of Customers with Reservations in Consideration With Expected Wait Time of a Customer Without Reservation

Junji Koyanagi

12.Decision Support System for Ranking of Software Reliability Growth Models

Devanshu Kumar Singh, Hitesh, Vijay Kumar, and Hoang Pham

13.Human Pose Estimation using Artificial Intelligence

Himanshu Sharma, Anshul Tickoo, Avinash K Shrivastava, and Umer Khan

14.Neural Network Modeling and What-if Scenarios: Applications for Market Development Forecasting

Valentina Kuskova, Dmitry Zaytsev, Gregory Khvatsky, and Anna Sokol

15.Mental Health Studies: A Review

Rachel Wesley and Hoang Pham

O autorze

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 the Year Award. He is Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Industrial Engineers (IIE).