The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …

Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …

For years, extensive research has been in the binarization of continuous metaheuristics for
solving binary-domain combinatorial problems. This paper is a continuation of a previous …

Feature selection (FS) is commonly thought of as a pre-processing strategy for determining
the best subset of characteristics from a given collection of features. Here, a novel discrete …

An Electrocardiogram (ECG) is a non-invasive test that is broadly utilized for monitoring and
diagnosing the cardiac arrhythmia. An irregularity of the heartbeat is generally defined as …

Feature selection (FS) plays a crucial role as a pre-processing tool in data mining, especially
for real-world applications in medical fields; it has been utilized exponentially and becomes …

The beluga whale optimization (BWO) algorithm is a recently proposed metaheuristic
optimization algorithm that simulates three behaviors: beluga whales interacting in pairs to …

For breast cancer diagnosis, computer-aided classification of histopathological images is of
critical importance for correct and early diagnosis. Transfer learning approaches for feature …

Lupus Nephritis (LN) is a significant risk factor for morbidity and mortality in systemic lupus
erythematosus, and nephropathology is still the gold standard for diagnosing LN. To assist …