PFStorer: Personalized Face Restoration and Super-Resolution
Recent developments in face restoration have achieved remarkable results in producing high-quality and lifelike outputs. The stunning results however often fail to […]
Joint Communications and Sensing Hybrid Beamforming Design via Deep Unfolding
Joint communications and sensing (JCAS) is envisioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, hybrid beamforming […]
AGIL-SwinT: Attention-guided inconsistency learning for face forgery detection
Face forgery detection (FFD) plays a vital role in maintaining the security and integrity of various information and media systems. Forgery inconsistency […]
Discontinuous Reception With Adjustable Inactivity Timer for IIoT
Discontinuous reception (DRX) is a key technology for reducing the energy consumption of industrial Internet of Things (IIoT) devices. Specifically, DRX allows […]
Optimization of Delayed Bit-interleaved Coded Modulation in the High-SNR Regime
In this letter, we investigate the capacity of delay schemes in delayed bit-interleaved coded modulation (DBICM) at high signal-to-noise ratios (SNR) using […]
Quantized FedPD (QFedPD): Beyond Conventional Wisdom – The Energy Benefits of Frequent Communication
Federated Averaging (FedAvg) is a well-recognized framework for distributed learning that efficiently manages communication. Several algorithms have emerged to enhance the communication […]
MIMO Antenna Systems for 5G and Beyond
Design and Performance Analysis of MEC-Aided LoRa Networks with Power Control
In this paper, we propose a single-cell mobile edge computing (MEC) assisted long-range (LoRa) network with power control, which includes a gateway, […]
The Role of Real-World Statistical Regularities in Visual Perception
Multiple models of vision propose that perception involves a process of prediction and verification. Here we argue that real-world statistical regularities—representations that, […]
Diffusion Model-Aided Data Reconstruction in Cell-Free Massive MIMO Downlink: A Computation-Aware Approach
In this letter, denoising diffusion implicit models (DDIM), a computation-efficient class of probabilistic diffusion models, are proposed for improving the reconstruction performance […]