Description
Book SynopsisComparison 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 debugging, testing coverage, and compiler error-based SRGM with two types of faults under the uncertainty of the operating environment.- A statistical approach to estimate severe accident vehicle collision probability inside a multi-lane road tunnel with unidirectional traffic flow.
