Probabilistic forecasting is receiving growing attention nowadays in a variety of applied
fields, including hydrology. Several machine learning concepts and methods are notably …

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 …

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 …

In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

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

Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …

Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective
optimization problems. It is considered as a strong algorithm for its efficient global search …

Abstract The Slime Mould Algorithm (SMA) is a recent metaheuristic inspired by the
oscillation of slime mould. Similar to other original metaheuristic algorithms (MAs), SMA may …

In the recent era, Metaheuristic Algorithms (MHs) are developed to tackle many and different
optimization problems. The merit of the MHs is not only its simplicity to understand but also …

Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …