2023 - Research.com Rising Star of Science Award
2022 - Research.com Rising Star of Science Award
The scientist’s investigation covers issues in Metaheuristic, Benchmark, Artificial neural network, Differential evolution and Algorithm. His Metaheuristic research incorporates themes from Swarm behaviour, Image, Thresholding, Multi-objective optimization and Pattern recognition. His Benchmark research is multidisciplinary, incorporating perspectives in Optimization algorithm, Optimization problem and Particle swarm optimization.
Artificial intelligence covers Mohamed Abd Elaziz research in Artificial neural network. As part of one scientific family, Mohamed Abd Elaziz deals mainly with the area of Differential evolution, narrowing it down to issues related to the Local search, and often Search algorithm and Heuristic. The concepts of his Algorithm study are interwoven with issues in Salp swarm algorithm and Feature selection.
His primary areas of study are Artificial intelligence, Pattern recognition, Algorithm, Feature selection and Image segmentation. Mohamed Abd Elaziz combines subjects such as Optimization problem and Machine learning with his study of Artificial intelligence. His work on Segmentation and Feature extraction as part of general Pattern recognition research is often related to Fractal, thus linking different fields of science.
As a part of the same scientific family, Mohamed Abd Elaziz mostly works in the field of Algorithm, focusing on Fitness function and, on occasion, Search algorithm. He has included themes like Thresholding and Grayscale in his Image segmentation study. His research in Metaheuristic intersects with topics in Salp swarm algorithm, Swarm behaviour and Benchmark.
Mohamed Abd Elaziz focuses on Metaheuristic, Artificial intelligence, Optimization problem, Algorithm and Benchmark. His Metaheuristic research incorporates elements of Image processing, Particle swarm optimization and Local search. His biological study spans a wide range of topics, including Machine learning and Pattern recognition.
The study incorporates disciplines such as Swarm behaviour, Soar and MATLAB in addition to Optimization problem. Mohamed Abd Elaziz has researched Algorithm in several fields, including Mean squared error and Convergence. His Benchmark study combines topics in areas such as Differential evolution, Fitness function and Search algorithm.
His primary areas of investigation include Optimization problem, Benchmark, Metaheuristic, Swarm behaviour and Artificial intelligence. His Optimization problem study introduces a deeper knowledge of Algorithm. His Benchmark research includes themes of Computational complexity theory, Genetic algorithm, Particle swarm optimization and Arithmetic.
His Metaheuristic study incorporates themes from Multiplication and Heuristic. His studies in Swarm behaviour integrate themes in fields like Image processing, Mathematical sciences, Theoretical computer science and Metaheuristic algorithms. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Coefficient of determination.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The Arithmetic Optimization Algorithm
Laith Abualigah;Ali Diabat;Ali Diabat;Seyedali Mirjalili;Mohamed Abd Elaziz;Mohamed Abd Elaziz.
Aquila Optimizer: A novel meta-heuristic optimization algorithm
Laith Mohammad Abualigah;Dalia Yousri;Mohamed Abd El-Aziz;Ahmed A. Ewees.
Computers & Industrial Engineering (2021)
Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm
Diego Oliva;Diego Oliva;Mohamed Abd El Aziz;Mohamed Abd El Aziz;Aboul Ella Hassanien.
Applied Energy (2017)
Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation
Mohamed Abd El Aziz;Ahmed A. Ewees;Aboul Ella Hassanien.
Expert Systems With Applications (2017)
Modeling of solar energy systems using artificial neural network: A comprehensive review
Ammar H. Elsheikh;Ammar H. Elsheikh;Swellam W. Sharshir;Mohamed Abd Elaziz;Mohamed Abd Elaziz;A.E. Kabeel.
Solar Energy (2019)
An improved Opposition-Based Sine Cosine Algorithm for global optimization
Mohamed Abd Elaziz;Diego Oliva;Shengwu Xiong.
Expert Systems With Applications (2017)
Improved grasshopper optimization algorithm using opposition-based learning
Ahmed A. Ewees;Mohamed E. Abd Elaziz;Essam H. Houssein.
Expert Systems With Applications (2018)
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
Laith Abualigah;Laith Abualigah;Mohamed Abd Elaziz;Putra Sumari;Zong Woo Geem.
Expert Systems With Applications (2021)
New machine learning method for image-based diagnosis of COVID-19.
Mohamed Abd Elaziz;Mohamed Abd Elaziz;Khalid M. Hosny;Ahmad Salah;Mohamed M. Darwish.
PLOS ONE (2020)
Improved salp swarm algorithm based on particle swarm optimization for feature selection
Rehab Ali Ibrahim;Ahmed A. Ewees;Diego Oliva;Mohamed Abd Elaziz.
Journal of Ambient Intelligence and Humanized Computing (2019)
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