Reliability Engineering for Industrial Processes

Comparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning.- Reliability and sensitivity analysis of a wastewater treatment plant operating with two blowers as a single system.- A Review on Cardiovascular Disease / Heart Disease By Machine Learning Prediction.- A Role of Network Data Envelopment Analysis Approach in Manufacturing Industry: Review of last 5 years.- Exploring Software Systems Engineering through complexity of code changes: A Study based on bugs count, features improvement and new add-ons.- Generating image captions in Hindi based on Encoder-Decoder based Deep Learning techniques.- Fault Removal Efficiency: A Key Driver in Software Reliability Growth Modelling.- Analysis of Progressively Censored Repair Time of Airborne Communication Transceiver with Burr-Hatke Exponential Model.- Bug Prediction Techniques: Analysis and Review.- A Review on Kidney Failure Prediction Using Machine Learning Models.- Machine Learning Based Remaining Useful Life Estimation - Concept and Case Study.- Modelling Software Reliability Growth incorporating Testing Coverage Function and Fault Reduction Factor.- Software Defect Prediction using Abstract Syntax Trees Features and Object - Oriented metrics.- A Review of Alzheimer's Disease Identification by Machine Learning.- Weighted Entropic and Divergence Models in Probability Spaces and their Solicitations for Influencing an Imprecise Distribution.- Considering multiplicative noise in a software reliability growth model using stochastic differential equation.- An Insight into Code Smell Detection Tool.- Efficiency of Divergence Measure in Fuzzy TOPSIS Algorithm for Multi-Attribute Decision Making.- Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Case Study.- Reliability Perspective of Software and Hardware Models.- Stress-Strength Modelling for a New Modified Lindley Distribution Under Progressively Censored Data.- Imperfect

Prof. (Dr.) P. K. Kapur is Director of Amity Center for Interdisciplinary Research, Amity University, Noida. He is Former Dean of the Faculty of Mathematical Sciences and Former Head of the Department of Operational Research, University of Delhi. His vast research experience in the areas of Software Reliability, Optimization, Innovation Diffusion Modeling in Marketing, and Multi-Criteria Decision Making (MCDM), Big Data Projects Adoption, and other areas of management, is illustrated through his work with nearly 400 research paper publications in top international and national journals/proceedings of repute, and supervision of over 44 Ph.D. and 25 M.Phil. scholars. Presently, he is also Member of the University Research Council, Amity University, Noida.

He has authored and edited more than ten books/conference volumes, many of which have been published by Springer. He is also Editor-in-Chief of the International Journal of Systems Assurance Engineering and Management (IJSAEM) published by Springer. He is Founder President of the Society for Reliability Engineering, Quality and Operations Management (SREQOM) since 2000 and Former President of the Operational Research Society of India (ORSI). He has executed various research projects from UGC, DRDO in the areas of Software Reliability and Innovation Diffusion Modeling; has delivered keynote addresses at various prestigious international conferences; and has been invited to deliver lectures in various universities in Sweden, Denmark, South Africa, Russia, Serbia, Nepal, Dubai, to name some.

Prof. (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