Infectious and contagious diseases represent a major challenge for health systems
worldwide, either in private or public sectors. More recently, with the increase in cases …

The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …

Abstract Dimensionality reduction or Feature Selection (FS) is a multi-target optimization
problem with two goals: improving the classification efficiency while simultaneously …

Metaheuristic algorithms are well-known and widely used strategies for tackling optimization
issues. Each has advantages and limitations and is frequently combined with other …

This study develops a clinical decision support system to assist physicians with monitoring
Polycystic Ovarian Syndrome (PCOS). The proposed method uses a classification model …

Medical datasets frequently include vast feature sets with numerous features that are related
to one another. As a result, the curse of dimensionality affects learning from a medical …

This work aims to discover the relevant factors to predict the health condition of COVID-19
patients by employing a fresh and enhanced binary multi-objective hybrid filter-wrapper …

For text document clustering (TDC), a novel hybrid of the multi-verse optimizer (MVO)
algorithm and k-means (also called H-MVO) are proposed in this work. Moreover, a new …

Skin Cancer (SC) is among the most hazardous due to its high mortality rate. Therefore,
early detection of this disease would be very helpful in the treatment process. Multilevel …

Food retailing is now on an accelerated path to a success penetration into the digital market
by new ways of value creation at all stages of the consumer decision process. One of the …