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
Qazwan Abdullah
Also published under:Qazwan A. Tarbosh
Affiliation
Faculty of Engineering Technology, Universiti Tun Hussein Onn Malaysia,Pagoh, Muar, Johor, Malaysia
Topic
Data Rate,Transmission Power,Deep Neural Network,Deep Reinforcement Learning,Energy Efficiency,Internet Of Things,Optimization Problem,Phase Shift,Reward Function,Time Slot,Achievable Rate,Antenna Array,Arrival Rate,Bandwidth Allocation,Base Station,Cost Efficiency,Deep Reinforcement Learning Agent,Energy Consumption,Federated Learning,Generative Adversarial Networks,Hardware Complexity,High Energy Efficiency,Hybrid Precoding,Induction Motor,Internet Of Things Devices,Internet Of Things Networks,Iterative Algorithm,Learning Accuracy,Learning Agent,Local Training,Low Complexity,Low Latency,Objective Function,Optimal Policy,Optimum Solution,Power Amplifier,Power Communication,Power Consumption,Radio Frequency Chains,Rotor Flux,Stator Current,Torque Ripple,Training Data,Vector Control,Wireless Networks,5G Technology,Actual Values,Adaptive Model,Adjacent Cells,Amount Of Chains,
Biography
Qazwan A. Tarbosh was born in Taiz, Yemen. He received the bachelor’s and master’s degrees in electrical and electronic engineering from Universiti Tun Hussein Onn Malaysia (UTHM), in 2013 and 2015. He is currently pursuing his Ph.D. degree with research interests in control systems, wireless technology, and microwaves.