most citedSolar and Wind Power Forecasting: A Comparative Review of LSTM, Random Forest, and XGBoost Models

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2026

UAV Trajectory Optimization via Improved Noisy Deep Q-Network

Zhang Hengyu, Maryam Cheraghy, Liu Wei +3

This paper proposes an Improved Noisy Deep Q-Network (Noisy DQN) to enhance the exploration and stability of Unmanned Aerial Vehicle (UAV) when applying deep reinforcement learning…

eess.SY2025★ 2 cited

Solar and Wind Power Forecasting: A Comparative Review of LSTM, Random Forest, and XGBoost Models

Afsaneh Mollasalehi, Armin Farhadi

Rising global energy demand from population growth raises concerns about the sustainability of fossil fuels. Consequently, the energy sector has increasingly transitioned to renewa…

eess.SP2025

Hybrid FIM and STAR-BD-RIS-Aided Wireless Communications with Short Packet Length: A Meta-TD3 Approach

Ayla Eftekhari, Maryam Cheraghy, Armin Farhadi +2

Reconfigurable intelligent surfaces (RIS) and flexible intelligent metasurfaces (FIM) have been widely adopted in multi-user wireless communication systems to enhance channel quali…