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Abdelhameed Ibrahim
Researcher at Mansoura University
Publications - 125
Citations - 2157
Abdelhameed Ibrahim is an academic researcher from Mansoura University. The author has contributed to research in topics: Computer science & Feature selection. The author has an hindex of 15, co-authored 58 publications receiving 833 citations. Previous affiliations of Abdelhameed Ibrahim include Cairo University & Chiba University.
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Linear discriminant analysis: A detailed tutorial
TL;DR: A solid intuition is built for what is LDA, and how LDA works, thus enabling readers of all levels to get a better understanding of the LDA and to know how to apply this technique in different applications.
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Novel Feature Selection and Voting Classifier Algorithms for COVID-19 Classification in CT Images
TL;DR: Two optimization algorithms for feature selection and classification of COVID-19, a critical preventive step in Coronavirus research, are proposed and compared with other optimization algorithms widely used in recent literature to validate its efficiency.
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MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection
TL;DR: A Modified Binary GWO based on Stochastic Fractal Search (SFS) to identify the main features by achieving the exploration and exploitation balance and shows the superiority of the proposed algorithm compared to binary versions of the-state-of-the-art optimization techniques.
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Optimization of live virtual machine migration in cloud computing: A survey and future directions
TL;DR: This paper focuses on reviewing state-of-the-art optimization techniques devoted to developing live VM migration according to memory migration and highlights the open research issues that necessitate further investigation to optimize the process of live migration for virtual machines.
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Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification
El-Sayed M. El-kenawy,Seyedali Mirjalili,Abdelhameed Ibrahim,Mohammed Alrahmawy,Mohammed El-Said,Rokaia M. Zaki,Marwa M. Eid +6 more
TL;DR: In this article, the authors proposed a classification method with two stages to classify different cases from the chest X-ray images based on a proposed Advanced Squirrel Search Optimization Algorithm (ASSOA).