4 papers
Science-Informed Design of Deep Learning With Applications to Wireless Systems: A Tutorial
Atefeh Termehchi, Ekram Hossain, Angelo Vera-Rivera +2
Recent advances in computational infrastructure and large-scale data processing have accelerated the adoption of data-driven inference methods, particularly deep learning (DL), to…
Generalization Analysis and Method for Domain Generalization for a Family of Recurrent Neural Networks
Atefeh Termehchi, Ekram Hossain, Isaac Woungang
Deep learning (DL) has driven broad advances across scientific and engineering domains. Despite its success, DL models often exhibit limited interpretability and generalization, wh…
Beamforming Control in RIS-Aided Wireless Communications: A Predictive Physics-Based Approach
Luis C. Mathias, Atefeh Termehchi, Taufik Abrão +1
Integrating reconfigurable intelligent surfaces (RIS) into wireless communication systems is a promising approach for enhancing coverage and data rates by intelligently redirecting…
Koopman-Based Generalization of Deep Reinforcement Learning With Application to Wireless Communications
Atefeh Termehchi, Ekram Hossain, Isaac Woungang
Deep Reinforcement Learning (DRL) is a key machine learning technology driving progress across various scientific and engineering fields, including wireless communication. However,…