Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system […]
Channel estimation and hybrid architectures for RIS-assisted communications
Reconfigurable intelligent surfaces (RISs) are considered as potential technologies for the upcoming sixth-generation (6G) wireless communication system. Various benefits brought by deploying […]
Meta-Teacher For Face Anti-Spoofing
Face anti-spoofing (FAS) secures face recognition from presentation attacks (PAs). Existing FAS methods usually supervise PA detectors with handcrafted binary or pixel-wise […]
Towards Reading Beyond Faces for Sparsity-aware 3D/4D Affect Recognition
In this paper, we present a sparsity-aware deep network for automatic 3D/4D facial expression recognition (FER). We first propose a novel augmentation […]
Intelligent Radio Signal Processing
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network […]
COVID-19 detection from Xray and CT scans using transfer learning
Since the novel coronavirus SARS-CoV-2 outbreak, intensive research has been conducted to find suitable tools for diagnosis and identifying infected people in […]
A review of uncertainty quantification in deep learning
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. They […]
Informative Feature Disentanglement for Unsupervised Domain Adaptation
Unsupervised Domain Adaptation (UDA) aims at learning a classifier for an unlabeled target domain by transferring knowledge from a labeled source domain […]
Attention-based networks for analyzing inappropriate speech in Arabic text
Analyzing social media posts and comments has become a critical task to prevent cyberbullying and hate speech. In this work we present […]
Application of Deep Learning to Sphere Decoding for Large MIMO Systems
Although the sphere decoder (SD) is a powerful detector for multiple-input multiple-output (MIMO) systems, it has become computationally prohibitive in massive MIMO […]