Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …

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

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …

Abstract Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to
people's safety and health. Many algorithms were developed to identify COVID-19. One way …

The artificial bee colony algorithm (ABC) has been successfully applied to various
optimization problems, but the algorithm still suffers from slow convergence and poor quality …

Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

The artificial bee colony optimization (ABC) algorithm operates efficiently and converges
well but still suffers from the problem of easily falling into local optimum, and there is room …

This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …