Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Mohamed Abdel-Basset
Affiliation
Zagazig University, Al-Sharqia Governorate, Egypt
Topic
Internet Of Things,Deep Learning Models,Federated Learning,Global Model,Convolutional Neural Network,Intrusion Detection,Local Training,Cloud Computing,Deep Learning,Differential Privacy,Edge Nodes,Feature Maps,Local Data,Local Updates,Segmentation Performance,Communication Rounds,Computed Tomography,Data Privacy,Dice Similarity Coefficient,Federated Learning Framework,Gated Recurrent Unit,Generative Adversarial Networks,Internet Of Things Applications,Mean Absolute Error,Optimization Algorithm,Unlabeled Data,Whale Optimization Algorithm,Action Recognition,Analytic Hierarchy Process,Analytic Hierarchy Process Method,Attention Module,Candidate Solutions,Central Authority,Client-side,Computed Tomography Images,Computed Tomography Volumes,Convolutional Layers,Convolutional Network,Crossover Operator,Current Solution,Denial Of Service,Detection Performance,Edge Computing,Edge Devices,Edge Server,Exploitation And Exploration,Feature Space,Federated Learning Model,Fog Nodes,Fully-connected Layer,
Biography
Mohamed Abdel-Basset received the B.Sc., M.Sc., and Ph.D. degrees in information systems and technology from the Faculty of Computers and Informatics, Zagazig University, Egypt. He has published more than 150 articles in international journals and conference proceedings. His current research interests include optimization, operations research, data mining, computational intelligence, applied statistics, decision support systems, robust optimization, engineering optimization, multi-objective optimization, swarm intelligence, evolutionary algorithms, and artificial neural networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques. He is also an/a Editor/Reviewer in different international journals and conferences. He holds the Program Chair in many conferences in the fields of decision making analysis, big data, optimization, complexity, and the Internet of Things, as well as editorial collaboration in some journals of high impact.