Adeb Salh
Orcid: 0000-0003-0905-2635
According to our database1,
Adeb Salh
authored at least 18 papers
between 2021 and 2024.
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Bibliography
2024
Enhancing Energy-Efficient Power Allocation for IoT URLLC Through Action Space Reduction in Energy Harvesting Devices.
IEEE Access, 2024
Empowering Energy-Sustainable IoT Devices With Harvest Energy-Optimized Deep Neural Networks.
IEEE Access, 2024
Enhancing Sustainable Edge Computing Offloading via Renewable Prediction for Energy Harvesting.
IEEE Access, 2024
Sensorless Speed Control of Induction Motor Drives Using Reinforcement Learning and Self-Tuning Simplified Fuzzy Logic Controller.
IEEE Access, 2024
Corrections to "Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI, and MTD Approaches to Security Solutions".
IEEE Access, 2024
Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI, and MTD Approaches to Security Solutions.
IEEE Access, 2024
Detecting DDoS Threats Using Supervised Machine Learning for Traffic Classification in Software Defined Networking.
IEEE Access, 2024
Sustainability and Latency Reduction Through Federated Learning-Powered Digital Twins in IoT Devices.
Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024
2023
Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G.
IEEE Access, 2023
Enabling Reliable Low-Latency in IoT Networks through Intelligent Resource Management.
Proceedings of the 13th IEEE International Conference on System Engineering and Technology, 2023
Spectrum Efficiency Enhancement for Cell-Free Massive MIMO Through Large-Scale Fading.
Proceedings of the 13th IEEE International Conference on System Engineering and Technology, 2023
2022
Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network.
IEEE Open J. Commun. Soc., 2022
Estimation Large- Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System.
CoRR, 2022
A New Technique for Improving Energy Efficiency in 5G Mm-wave Hybrid Precoding Systems.
CoRR, 2022
Low Computational Complexity for Optimizing Energy Efficiency in mm-wave Hybrid Precoding System for 5G.
IEEE Access, 2022
2021
Pilot Contamination Elimination for Channel Estimation with Complete Knowledge of Large-Scale Fading in Downlink Massive MIMO Systems.
CoRR, 2021