Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while slee**. This reduction in …

Feature selection is a preprocessing step that aims to eliminate the features that may
negatively influence the performance of the machine learning techniques. The negative …

Background and objective Medical data plays a decisive role in disease diagnosis. The
classification accuracy of high-dimensional datasets is often diminished by several …

Develo** intelligent analytical tools requires pre-processing data and finding relevant
features that best reinforce the performance of the predictive algorithms. Feature selection …

Wrapper-based feature subset selection (FSS) methods tend to obtain better classification
accuracy than filter methods but are considerably more time-consuming, particularly for …

This paper deals with the problem of supervised wrapper-based feature subset selection in
datasets with a very large number of attributes. Recently the literature has contained …

Feature subset selection is a key problem in the data-mining classification task that helps to
obtain more compact and understandable models without degrading (or even improving) …

Cyber-Physical Systems (CPS) are the basis for the world's critical infrastructure and, thus,
have the potential to significantly impact human lives in the near future. In recent years, there …

Feature subset selection (FSS) has been an active area of research in machine learning. A
number of techniques have been developed for selecting an optimal or sub-optimal subset …

The diagnosis of faults in grid-connected photovoltaic (GCPV) systems is a challenging task
due to their complex nature and the high similarity between faults. To address this issue, we …