27 citations · 43 across the 8 of their papers we have counts for
9 papers
SDRNET: Stacked Deep Residual Network for Accurate Semantic Segmentation of Fine-Resolution Remotely Sensed Images
Naftaly Wambugu, Ruisheng Wang, Bo Guo +3
Land cover maps generated from semantic segmentation of high-resolution remotely sensed images have drawn mucon in the photogrammetry and remote sensing research community. Current…
Interference Mitigation in STAR-RIS-Aided Multi-User Networks with Statistical CSI
Abuzar B. M. Adam, Mohammed A. M. Elhassan, Elhadj Moustapha Diallo +1
In this paper, we investigate real-time interference mitigation in multiuser wireless networks assisted by simultaneously transmitting and reflecting reconfigurable intelligent sur…
Adaptive Soft Actor-Critic Framework for RIS-Assisted and UAV-Aided Communication
Abuzar B. M. Adam, Elhadj Moustapha Diallo, Mohammed A. M. Elhassan
In this work, we explore UAV-assisted reconfigurable intelligent surface (RIS) technology to enhance downlink communications in wireless networks. By integrating RIS on both UAVs a…
Optimizing Wireless Networks with Deep Unfolding: Comparative Study on Two Deep Unfolding Mechanisms
Abuzar B. M. Adam, Mohammed A. M. Elhassan, Elhadj Moustapha Diallo
In this work, we conduct a comparative study on two deep unfolding mechanisms to efficiently perform power control in the next generation wireless networks. The power control probl…
Real-Time and Security-Aware Precoding in RIS-Empowered Multi-User Wireless Networks
Abuzar B. M. Adam, Mohamed Amine Ouamri, Mohammed Saleh Ali Muthanna +3
In this letter, we propose a deep-unfolding-based framework (DUNet) to maximize the secrecy rate in reconfigurable intelligent surface (RIS) empowered multi-user wireless networks.…
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation
Mohammed A. M. Elhassan, Changjun Zhou, Amina Benabid +1
Recently, Transformer-based models have achieved promising results in various vision tasks, due to their ability to model long-range dependencies. However, transformers are computa…
Enhancing Secrecy in UAV RSMA Networks: Deep Unfolding Meets Deep Reinforcement Learning
Abuzar B. M. Adam, Mohammed A. M. Elhassan
In this paper, we consider the maximization of the secrecy rate in multiple unmanned aerial vehicles (UAV) rate-splitting multiple access (RSMA) network. A joint beamforming, rate…
S-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
Mohammed A. M. Elhassan, Chenhui Yang, Chenxi Huang +4
Modern high-performance semantic segmentation methods employ a heavy backbone and dilated convolution to extract the relevant feature. Although extracting features with both contex…
Technical Report on Subspace Pyramid Fusion Network for Semantic Segmentation
Mohammed A. M. Elhassan, Chenhui Yang, Chenxi Huang +1
The following is a technical report to test the validity of the proposed Subspace Pyramid Fusion Module (SPFM) to capture multi-scale feature representations, which is more useful…