Mpox, a zoonotic viral disease, poses a significant threat to human health, characterized by
its potential for human-to-human transmission and its manifestation in severe flu-like …

Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

A novel optimization algorithm called the optical microscope algorithm (OMA) is developed
and applied in this study. Drawing inspiration from the magnification capabilities of an …

This study presents the K-means clustering-based grey wolf optimizer, a new algorithm
intended to improve the optimization capabilities of the conventional grey wolf optimizer in …

The use of metaheuristics is widespread for optimization in both scientific and industrial
problems due to several reasons, including flexibility, simplicity, and robustness. Grey Wolf …

Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …

Unmanned aerial vehicles are applied extensively in various fields due to their advantages
of low-cost, high-maneuverability, and easy-operation. However, the path planning problem …

This paper presents a hybrid evolutionary algorithm, cultural-particle swarm optimization (C-
PSO), which is inspired by the cultural algorithm and the particle swarm optimization …

Feature selection (FS) is considered to be a hard optimization problem in data mining and
some artificial intelligence fields. It is a process where rather than studying all of the features …

This study investigates the application of cavitation in non-invasive abdominal fat reduction
and body contouring, a topic of considerable interest in the medical and aesthetic fields. We …