Educational data mining (EDM) is the application of data mining in the educational field.
EDM is used to classify, analyze, and predict the students' academic performance, and …

In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …

Abstract The Artificial Gorilla Groups Optimizer (GTO) is a novel metaheuristic algorithm that
takes its cues from the collective intelligence of wild gorilla troops. Although it has shown …

Chameleon swarm algorithm (CSA) is a newly proposed swarm intelligence algorithm
inspired by the chameleon's foraging strategies of tracking, searching and attacking targets …

The feature selection (FS) problem has occupied a great interest of scientists lately since the
highly dimensional datasets might have many redundant and irrelevant features. FS aims to …

Many metaheuristic approaches have been developed to select effective features from
different medical datasets in a feasible time. However, most of them cannot scale well to …

Medical image fusion has brought practical applications in clinical diagnosis. However,
image fusion methods still face challenges because of problems with the quality of the input …

Hybrid systems have emerged as a reliable solution to meet the increasing demand loads in
various fields and address the electricity shortage in remote areas. Consequently, research …

The jellyfish search (JS) algorithm impersonates the foraging behavior of jellyfish in the
ocean. It is a newly developed metaheuristic algorithm that solves complex and real-world …

The convolutional neural network showed considerable success in medical imaging with
explainable AI for cancer detection and recognition. However, the irrelevant and large …