4 citations · 4 across the 3 of their papers we have counts for
3 papers
Model-Based Deep Learning Tuning of Reconfigurable Intelligent Surface for OFDM Radar Interference Mitigation
Ali Parchekani, Milad Johnny, Shahrokh Valaee
This paper presents a deep learning-based framework for enhancing radar systems in the presence of interference, leveraging Reconfigurable Intelligent Surfaces (RIS). The proposed…
Reconfigurable Intelligent Surface for OFDM Radar Interference Mitigation
Ali Parchekani, Milad Johnny, Shahrokh Valaee
This paper introduces a method to reduce interference in OFDM radar systems through the use of reconfigurable intelligent surfaces (RIS). The method involves adjusting the RIS elem…
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic
Ali Parchekani, Salar Nouri, Vahid Shah-Mansouri +1
In this paper, we introduce a novel end-to-end traffic classification method to distinguish between traffic classes including VPN traffic in three layers of the Open Systems Interc…