Machine learning (ML) is the scientific study of algorithms and statistical models that
computer systems use to perform a specific task without being explicitly programmed …

In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …

Reinforced concrete bond strength deterioration is one of the most serious problems in the
construction industry. It is one of the most common factors impacting structural deterioration …

In recent years, there has been an increasing interest in the application of machine learning
for the prediction of pavement performance. Prediction models are used to predict the future …

Software testing involves probing into the behavior of software systems to uncover faults.
Most testing activities are complex and costly, so a practical strategy that has been adopted …

This article presents a machine learning approach to predict the long-term voltage stability
margin as represented by the Loadability Margin (LM). LM is an intuitive and easily …

Accurate rainfall prediction has become very complicated in recent times due to climate
change and variability. The efficiency of classification algorithms in rainfall prediction has …

It is very important to make an objective evaluation of colorectal cancer histological images.
Current approaches are generally based on the use of different combinations of textual …

Introduction Discriminating asthma from chronic obstructive pulmonary disease (COPD)
using medico-administrative databases is challenging but necessary for medico-economic …

In today's world, machine learning is promising to produce consistently accurate estimates in
different applications. The machine learning system learns effectively from the training …