Mohamed Abd Elaziz
Zagazig University
336 Papers
341 Citations
Mohamed Abd Elaziz is an academic researcher from Zagazig University. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 35, co-authored 189 publications. Previous affiliations of Mohamed Abd Elaziz include Ajman University of Science and Technology & Huazhong University of Science and Technology.
Chat about Author
Papers
An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation
Mohamed Abd Elaziz,Ahmed A. Ewees,Dalia Yousri,Husein S. Naji Alwerfali,Qamar A. Awad,Songfeng Lu,Mohammed A. A. Al-qaness +6 more
TL;DR: A hybrid SI based approach that combines the features of two SI methods, marine predators algorithm (MPA) and moth-?ame optimization (MFO) is proposed, in which, the MFO is utilized as a local search method for MPA to avoid trapping at local optima.
Optimal Planning of Renewable Energy-Integrated Distribution System Considering Uncertainties
TL;DR: A novel methodology to solve the problem of RES-DGs planning optimization based on improved Harris Hawks Optimizer (HHO) using Particle Swarm Optimization (PSO), which maximizes the techno-economic benefits of the distribution systems for all considered cases and scenarios is proposed.
A new optimized predictive model based on political optimizer for eco-friendly MQL-turning of AISI 4340 alloy with nano-lubricants
TL;DR: In this paper, two types of nanoparticles (Al2O3 and CuO) are added to rice bran vegetable oil to obtain eco-friendly nanofluid with enhanced thermophysical properties, which utilized as a cutting fluid in the so-called MQL-turning with nano-lubricants (MQL-TNL).
130
Deep learning-based forecasting model for COVID-19 outbreak in Saudi Arabia
Ammar H. Elsheikh,Amal I. Saba,Mohamed Abd Elaziz,Songfeng Lu,S. Shanmugan,T. Muthuramalingam,Ravinder Kumar,Ahmed O. Mosleh,Fadl A. Essa,Taher A. Shehabeldeen +9 more
TL;DR: Long short-term memory network as a robust deep learning model is proposed to forecast the number of total confirmed cases, total recovered cases, and total deaths in Saudi Arabia to help policymakers to control the disease and to put strategic plans to organize Hajj and the closure periods of the schools and universities.
129
Job Scheduling in Cloud Computing Using a Modified Harris Hawks Optimization and Simulated Annealing Algorithm.
TL;DR: A modified Harris hawks optimization (HHO) algorithm based on the simulated annealing (SA) for scheduling jobs in the cloud environment, which demonstrates that HHOSA can achieve significant reductions in makespan of the job scheduling problem as compared to the standard HHO and other existing scheduling algorithms.