The scientist’s investigation covers issues in Artificial neural network, Electric power system, Artificial intelligence, Data mining and Control engineering. His Artificial neural network research is multidisciplinary, incorporating perspectives in Nonlinear programming and Adaptive algorithm. His Power flow study, which is part of a larger body of work in Electric power system, is frequently linked to Data security, bridging the gap between disciplines.
His primary area of study in Artificial intelligence is in the field of Perceptron. His research in Data mining intersects with topics in Stability and Electrical network. His studies deal with areas such as DC motor, Nonlinear system, Control theory and Reference model as well as Control engineering.
His primary areas of investigation include Artificial neural network, Artificial intelligence, Electric power system, Control engineering and Control theory. Mohamed A. El-Sharkawi usually deals with Artificial neural network and limits it to topics linked to Data mining and Feature selection. Mohamed A. El-Sharkawi has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition.
His research on Electric power system also deals with topics like
Wind power, Mathematical optimization, Electric power system, Simulation and Control engineering are his primary areas of study. His Wind power research incorporates themes from Stochastic programming, Electricity and Smart grid. Mohamed A. El-Sharkawi interconnects Control theory and Automatic control in the investigation of issues within Electric power system.
His biological study spans a wide range of topics, including Reliability engineering, System on a chip, Demand response and Vehicle-to-grid. His research on Evolutionary computation concerns the broader Artificial intelligence. His work on Artificial neural network, Perceptron and Quadratic classifier as part of general Artificial intelligence research is often related to Gaussian, thus linking different fields of science.
Mohamed A. El-Sharkawi focuses on Mathematical optimization, Particle swarm optimization, Demand response, Vehicle-to-grid and Simulation. His study in Artificial intelligence extends to Mathematical optimization with its themes. His work in the fields of Particle swarm optimization, such as Multi-swarm optimization, intersects with other areas such as Operating cost.
His Demand response study combines topics in areas such as Electric vehicle, Load regulation and System on a chip. His Vehicle-to-grid research includes elements of Scheduling and Operations research. His Work research overlaps with other disciplines such as Discount points, Profit maximization, Flexibility, Reliability engineering and Utility system.
D.C. Park;M.A. El-Sharkawi;R.J. Marks;L.E. Atlas
Kwang Y. Lee;Mohamed A. El-Sharkawi
Eric Sortomme;Mohamed A El-Sharkawi
E. Sortomme;M. A. El-Sharkawi
P. Ngatchou;Anahita Zarei;M.A. El-Sharkawi
Kwang Y. Lee;Mohamed A. El-Sharkawi
L.S. Moulin;A.P.A. da Silva;M.A. El-Sharkawi;R.J. Marks
S. Weerasooriya;M.A. El-Sharkawi
E. Sortomme;M. A. El-Sharkawi
I. Kassabalidis;M.A. El-Sharkawi;R.J. Marks;P. Arabshahi
E. Sortomme;M. A. El-Sharkawi
C.A. Jensen;M.A. El-Sharkawi;Ii. R.J. Marks
L. Atlas;J. Connor;D. Park;M. El-Sharkawi
A. K. Das;R. J. Marks;M. El-Sharkawi;P. Arabshahi
D.C. Park;M.A. El-Sharkawi;R.J. Marks
I.N. Kassabalidis;M.A. El-Sharkawi;R.J. Marks;L.S. Moulin
Y. Mansour;A.Y. Chang;J. Tamby;E. Vaahedi
Y. Mansour;E. Vaahedi;M.A. El-Sharkawi
M. Aggoune;M.A. El-Sharkawi;D.C. Park;M.J. Dambourg
C.A. Jensen;R.D. Reed;R.J. Marks;M.A. El-Sharkawi
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