Author

Abdussalam Mohamed

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Jul 2026

Impact of Advanced Optimization Methods on the Predictive Performance of Temporal Convolutional Networks for Load Forecasting

Accurate short-term load forecasting is important for running power systems efficiently and managing smart grids. In this study, we present an improved Temporal Convolutional Network (TCN) model and compare eight optimization algorithms: Adam, AdaBelief, RAdam, Ranger, AdamP, NovoGrad, Adan, and SAM. We used hourly ele...

Hmeda Musbah, Abdussalam Mohamed, Hamed H. Aly · 2026 IEEE Canadian Atlantic... · 0 citations

Jul 2026

Electromagnetic Environment Classification for Robust UAV and Robotic Operation Using Ensemble and Deep Learning Models

This paper proposes an electromagnetic (EM) environment classification framework that enables unmanned aerial vehicles (UAVs) and robotic platforms to perceive EM conditions as structured environmental states rather than unmodeled noise or isolated sensor faults. A physics-inspired, imbalanced multi-class dataset with...

Abdussalam Mohamed, Hmeda Musbah, Hamed H. Aly · 2026 IEEE Canadian Atlantic... · 0 citations

Jul 2026

A Hybrid Classifier-Guided Deep Q-Learning Approach for Multi-Objective Building Environment Management

A comfort-aware reinforcement learning (RL) framework is presented for intelligent indoor environment control in smart buildings. The system comprises three primary components: a data-driven comfort classifier, a lightweight indoor environment simulator, and a Deep Q-Network (DQN) control agent. A synthetic dataset, re...

Abdussalam Mohamed, Hmeda Najemeddin Musbah, Hamed H. Aly · 2026 IEEE Canadian Atlantic... · 0 citations