A comprehensive survey of sine cosine algorithm: variants and applications

AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
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 …

Nature and biologically inspired image segmentation techniques

S Singh, N Mittal, D Thakur, H Singh, D Oliva… - … Methods in Engineering, 2021 - Springer
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 …

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

H Su, D Zhao, H Elmannai, AA Heidari… - Computers in Biology …, 2022 - Elsevier
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 …

A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images

MM Emam, EH Houssein, RM Ghoniem - Computers in biology and …, 2023 - Elsevier
In this paper, we proposed an enhanced reptile search algorithm (RSA) for global
optimization and selected optimal thresholding values for multilevel image segmentation …

Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images

H Su, D Zhao, F Yu, AA Heidari, Y Zhang… - Computers in Biology …, 2022 - Elsevier
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 …

Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images

EH Houssein, MM Emam, AA Ali - Neural Computing and Applications, 2021 - Springer
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 …

An improved marine predators algorithm with fuzzy entropy for multi-level thresholding: real world example of COVID-19 CT image segmentation

M Abd Elaziz, AA Ewees, D Yousri, HSN Alwerfali… - Ieee …, 2020 - ieeexplore.ieee.org
Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …

A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation

M Abd Elaziz, D Yousri, MAA Al-qaness… - … Applications of Artificial …, 2021 - Elsevier
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 …

A multi-leader whale optimization algorithm for global optimization and image segmentation

M Abd Elaziz, S Lu, S He - Expert Systems with Applications, 2021 - Elsevier
In this paper, a multilevel thresholding image segmentation method base on the
enhancement of the performance of the whale optimization algorithm (WOA). The developed …

[HTML][HTML] Inclusive multiple model using hybrid artificial neural networks for predicting evaporation

M Ehteram, F Panahi, AN Ahmed, AH Mosavi… - Frontiers in …, 2022 - frontiersin.org
Predicting evaporation is essential for managing water resources in basins. Improvement of
the prediction accuracy is essential to identify adequate inputs on evaporation. In this study …