M
Marwa M. Eid
Researcher at Mansoura University
Publications - 58
Citations - 728
Marwa M. Eid 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 7, co-authored 23 publications receiving 144 citations. Previous affiliations of Marwa M. Eid include Delta State University.
Papers
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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).
Journal ArticleDOI
Classification of Monkeypox Images Based on Transfer Learning and the Al-Biruni Earth Radius Optimization Algorithm
Abdelaziz A. Abdelhamid,El-Sayed M. El-kenawy,Nima Khodadadi,Seyedali Mirjalili,D. S. Khafaga,Amal H. Alharbi,Abdelhameed Ibrahim,Marwa M. Eid,Mohamed Saber +8 more
TL;DR: Two algorithms based on transfer learning for feature extraction and meta-heuristic optimization for feature selection and optimization of the parameters of a multi-layer neural network are proposed for improving the classification accuracy of monkeypox images.
Journal ArticleDOI
Advanced Ensemble Model for Solar Radiation Forecasting Using Sine Cosine Algorithm and Newton’s Laws
El-Sayed M. El-kenawy,Seyedali Mirjalili,Sherif S. M. Ghoneim,Marwa M. Eid,Mohammed El-Said,Zeeshan Shafi Khan,Abdelhameed Ibrahim +6 more
TL;DR: In this paper, an optimized solar radiation forecasting ensemble model consisting of pre-processing and training ensemble phases is proposed, which uses sine and cosine functions to update the agent's position/velocity components by considering its mass.