Description
Book SynopsisThis 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.
Table of Contents1.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
