A5056436780- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- EEG and Brain-Computer Interfaces
- Solar Radiation and Photovoltaics
- Photovoltaic System Optimization Techniques
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Brain Tumor Detection and Classification
- Optimal Power Flow Distribution
- Machine Learning in Bioinformatics
- COVID-19 diagnosis using AI
- ECG Monitoring and Analysis
- Medical Image Segmentation Techniques
- Artificial Intelligence in Healthcare
- Machine Learning and ELM
- Microgrid Control and Optimization
- IoT and Edge/Fog Computing
- AI in cancer detection
- Blind Source Separation Techniques
- Emotion and Mood Recognition
- Energy Efficient Wireless Sensor Networks
- Smart Grid Energy Management
- Computational Drug Discovery Methods
- Solar Thermal and Photovoltaic Systems
Minia University
2016-2025
Kafrelsheikh University
2023
New Jersey Institute of Technology
2023
Minia University Hospital
2021
Scientific Research Group in Egypt
2016-2018
Cairo University
2017
Benha University
2011-2015
COVID-19 has affected all peoples' lives. Though is on the rising, existence of misinformation about virus also grows in parallel. Additionally, spread created confusion among people, caused disturbances society, and even led to deaths. Social media central our daily The Internet become a significant source knowledge. Owing widespread damage by fake news, it important build computerized systems detect news. paper proposes an updated deep neural network for identification false learning...
Solar radiation is increasingly used as a clean energy source, and photovoltaic (PV) panels that contain solar cells (SCs) transform into electricity. The current-voltage characteristics for PV models nonlinear. Due to lack of data on the manufacturer's datasheet models, there are several unknown parameters. It necessary accurately design systems by defining intrinsic parameters SCs. Various methods have been proposed estimate cells. However, their results often inaccurate. In this article,...
Feature Selection (F.S.) reduces the number of features by removing unnecessary, redundant, and noisy information while keeping a relatively decent classification accuracy. F.S. can be considered an optimization problem. As problem is challenging there are many local solutions, stochastic algorithms may beneficial. This paper proposes novel approach to dimension reduction in feature selection. seminal attempt, this work uses binary variants recent Marine Predators Algorithm (MPA) select...