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Maysam Abbod
Also published under:Maysam F. Abbod, M. F. Abbod, M. Abbod, Myasam F. Abbod
Affiliation
Department of Electronic & Electrical Engineering, Brunel University London, Uxbridge, UK
Topic
Deep Learning,Long Short-term Memory,Convolutional Neural Network,Deep Neural Network,Neural Network,Power Factor,Successive Interference Cancellation,Additive Noise,Channel Environment,Channel Estimation,Channel Parameters,Convolutional Layers,Deep Neural Network Model,Minimum Mean Square Error,Pilot Symbols,Power Transfer,Short-term Memory,Simulation Results,Transmission System Operator,User Equipment,Artificial Neural Network,Batch Normalization Layer,Bitrate,Channel Power,Control Mode,Decision Tree,Distribution Network,Fading Channel,Fully-connected Layer,Grid Code,Learning Network,Mean Square Error,Mechanical Power,Motor Type,Order Statistics,Output Power,Path Loss Exponent,Power Estimation,Power Generation,Power System,Recurrent Neural Network,Regression Layer,Service Quality,Solar Photovoltaic,Sum Rate,Usual Factors,Voltage Control,Wind Power,1D Convolutional Layers,Active Power Control,
Biography
Maysam F. Abbod received the Ph.D. degree in control engineering from The University of Sheffield, U.K., in 1992. He is currently a Reader of electronic systems with the Department of Electronic and Computer Engineering, Brunel University London, U.K. He has authored more than 50 papers in journals, nine chapters in edited books, and more than 50 papers in refereed conferences. His current research interests include intelligent systems for modeling and optimization. He is a member of the IET, U.K., and a Chartered Engineer in U.K. He is serving as an Associate Editor for the Engineering Application of Artificial Intelligence Elsevier.