Reliability Engineering for Industrial Processes

Edited by P. K. Kapur (), Hoang Pham (), Gurinder Singh () and Vivek Kumar ()

in Springer Series in Reliability Engineering from Springer, currently edited by Hoang Pham

Date: 2024
ISBN: 978-3-031-55048-5
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Chapters in this book:

Comparison of OSS Reliability Assessment Methods by Using Wiener Data Preprocessing Based on Deep Learning

Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou and Shigeru Yamada

Reliability and Sensitivity Analysis of a Wastewater Treatment Plant Operating with Two Blowers as a Single System

S. Z. Taj, S. M. Rizwan and Kajal Sachdeva

A Review on Cardiovascular Disease/Heart Disease by Machine Learning Prediction

K. Swathi and G. K. Kamalam

A Role of Network Data Envelopment Analysis Approach in Manufacturing Industry: Review of Last 5 years

Atul Kumar and Millie Pant

Exploring Software Systems Engineering Through Complexity of Code Changes: A Study Based on Bugs Count, Features Improvement and New Add-Ons

Asha Yadav, Ompal Singh, Adarsh Anand, Raksha Verma and Indarpal Singh

Generating Image Captions in Hindi Based on Encoder-Decoder Based Deep Learning Techniques

Priya Singh, Farhan Raja and Hariom Sharma

Fault Removal Efficiency: A Key Driver in Software Reliability Growth Modeling

Umashankar Samal and Ajay Kumar

Analysis of Progressively Censored Repair Time of Airborne Communication Transceiver with Burr-Hatke Exponential Model

Kartik Waliya, Alka Chaudhary and Abhishek Tyagi

Bug Prediction Techniques: Analysis and Review

Riya Sen and V. B. Singh

A Review on Kidney Failure Prediction Using Machine Learning Models

B. P. Naveenya and J. Premalatha

Machine Learning Based Remaining Useful Life Estimation—Concept and Case Study

Svara Mehta, Ramnath V. Prabhu Bam and Rajesh S. Prabhu Gaonkar

Modelling Software Reliability Growth Incorporating Testing Coverage Function and Fault Reduction Factor

Neha, Abhishek Tandon, Gurjeet Kaur and P. K. Kapur

Software Defect Prediction Using Abstract Syntax Trees Features and Object—Oriented Metrics

Anushka Sethi, Aseem Sangalay and Ruchika Malhotra

A Review of Alzheimer’s Disease Identification by Machine Learning

R. P. Harshini and R. Thangarajan

Weighted Entropic and Divergence Models in Probability Spaces and Their Solicitations for Influencing an Imprecise Distribution

Om Parkash, Vikramjeet Singh and Retneer Sharma

Considering Multiplicative Noise in a Software Reliability Growth Model Using Stochastic Differential Equation Approach

Kuldeep Chaudhary, Vijay Kumar, Deepansha Kumar and Pradeep Kumar

An Insight into Code Smell Detection Tool

Shrasti Mourya, Piyush Pratap Singh and V. B. Singh

A Study on the Efficiency of Divergence Measure in Fuzzy TOPSIS Algorithm for Multi-attribute Decision Making—A Case Study on University Selection for Admission

Mansi Bhatia, H. D. Arora, Riju Chaudhary and Vijay Kumar

Exploring the Impact of Latent and Obscure Factors on Left-Censored Data: Bayesian Approaches and Case Study

Pragya Gupta, Arvind Pandey, David D. Hanagal and Shikhar Tyagi

Reliability Perspective of Software Models: An Overview

Ritu Gupta, Sudeep Kumar and Anu G. Aggarwal

Stress-Strength Modelling for a New Modified Lindley Distribution Under Progressively Censored Data

Arvind Pandey, Neha Choudhary, Abhishek Tyagi and Ravindra Pratap Singh

Imperfect Debugging, Testing Coverage, and Compiler Error-Based SRGM with Two Types of Faults Under the Uncertainty of the Operating Environment

Sujit Kumar Pradhan, Anil Kumar, Vijay Kumar and P. K. Kapur

A Statistical Approach to Estimate Severe Accident Vehicle Collision Probability Inside a Multi-lane Road Tunnel with Unidirectional Traffic Flow

Jajati K. Jena, Ajit K. Verma, Uday Kumar and Srividya Ajit

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DOI: 10.1007/978-3-031-55048-5

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