The widespread acceptance and increase of the Internet and mobile technologies have
revolutionized our existence. On the other hand, the world is witnessing and suffering due to …

Filter-based feature selection has become crucial in many classification settings, especially
object recognition, recently faced with feature learning strategies that originate thousands of …

We developed a novel computer-aided diagnosis (CAD) system that uses feature-ranking
and a genetic algorithm to analyze structural magnetic resonance imaging data; using this …

Over many decades, research is being attempted for the detection of epileptic seizure to
support for automatic diagnosis system to help clinicians from burdensome work. In this …

Classifiers deployed in the real world operate in a dynamic environment, where the data
distribution can change over time. These changes, referred to as concept drift, can cause the …

Over several years, research had been conducted for the detection of epileptic seizures to
support an automatic diagnosis system to comfort the clinicians' encumbrance. In this …

The introduction of the Energy-Based Maintenance (EBM) practice in Sustainable
Manufacturing attracted significant academic attention, especially considering imposed …

Classification of microarray data plays a significant role in the diagnosis and prediction of
cancer. However, its high-dimensionality (> tens of thousands) compared to the number of …

The primary aim of this research paper is to develop an easy-to-use tool package called
Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide …

Feature Selection Library (FSLib) is a widely applicable MATLAB library for Feature
Selection (FS). FS is an essential component of machine learning and data mining which …