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
Mohammed Hussein Abdalla
Affiliation
Department of Computer Science, University of Raparin, Rania, Iraq
Topic
Amount Of Tasks,Ant Colony,Ant Colony Optimization Algorithm,Communication Cost,Communication Network,Content Words,Convolutional Long Short-term Memory,Convolutional Neural Network,Convolutional Neural Network Model,Coordinate Ascent,Coordinate Ascent Algorithm,Cost Model,Database Management,Deep Learning,Deep Learning Models,Deep Learning Techniques,Deep Network,Distributed Database,Dynamic Programming,Evolutionary Algorithms,Execution Plan,Feature Selection Methods,Feature Selection Techniques,Hybrid Model,Hybrid Neural Network,Large Search Space,Latent Space,Learning Algorithms,Local Optimum,Long Short-term Memory,Machine Learning,Monkeypox Virus,Motivation Of This Paper,Natural Language,Natural Processing,Neural Network,Optimization Algorithm,Optimization Problem,Output Performance,Particle Position,Particle Swarm,Particle Swarm Optimization,Pheromone,Processing Cost,Query Results,Query Time,Recurrent Neural Network,Recurrent Neural Network Model,Research Database,Search Space,
Biography
Mohammed Hussein Abdalla was born in Sulaymaniyah, Iraq, in 1989. He received the B.Sc. degree in computer science from the University of Sulaimani, Sulaymaniyah, in 2012, and the M.Sc. degree in software engineering from Fırat University, Elâz?ğ, Turkey. In 2013, he joined the University of Raparin, as an Assistant Programmer, where he became an Assistant Lecturer, in 2022. His current research interests include deep learning, machine learning, the IoT, and NLP.