Books in the Advanced Research in Reliability and System Assurance Engineering series

This book is a collective work by many leading scientists, analysts, mathematicians, and engineers who have been working on the front end of reliability science and engineering. The book covers conventional and contemporary topics in reliability science, which have seen extended research activates in the recent years.

This new book will include the original, unpublished research studies and articles from the Modeling and Simulation Reliability 2018 conference organized by the editor. The chapters, along with case studies, will describe the latest research and developments and will be of interest to researchers, pratitioners, and academics.

This book will provide the latest research advances in the field of reliability assurance engineering sciences. The book aims to provide a reference for applications of reliability in engineering, offering a theoretical sound background with adequate case studies. Domestic and international perspectives will be included.

Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligences. This book provides the most recent advances in the field along with case studies and real-world examples.