Skin cancer is one of the worst cancers nowadays that poses a severe threat to the health
and safety of individuals. Therefore, skin cancer classification and early diagnosis are …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Breast cancer is the second leading cause of death in women; therefore, effective early
detection of this cancer can reduce its mortality rate. Breast cancer detection and …

Feature selection (FS) represents an optimization problem that aims to simplify and improve
the quality of highly dimensional datasets through selecting prominent features and …

This study investigates the feasibility of a relevance vector machine tuned with improved
Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using …

Many countries in the world have been facing the rapid spread of COVID-19 since February
2020. There is a dire need for efficient and cheap automated diagnosis systems that can …

In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …

Lung and colon cancers are deadly diseases that can develop simultaneously in organs and
adversely affect human life in some special cases. Although the frequency of simultaneous …

In many fields, complicated issues can now be solved with the help of Artificial Intelligence
(AI) and Machine Learning (ML). One of the more modern Metaheuristic (MH) algorithms …

Optimization is the process of searching for the optimal (best-so-far) solution among a wide
range of solutions. Besides, in the last two decades, a family of algorithms known as …