Domain Generalization via Ensemble Stacking for Face Presentation Attack Detection
Face presentation attack detection (PAD) plays a pivotal role in securing face recognition systems against spoofing attacks. Although great progress has been […]
Influence of User Mobility on System Loss and Depolarization in a BAN Indoor Scenario
In this article, an analysis of system loss and depolarization in body area networks (BANs) for body-to-infrastructure (B2I) communications based on a […]
Split-Quaternions for Perceptual White Balance: A quantum information-based chromatic adaptation transform
We propose a perceptual chromatic adaptation transform (CAT) for white balance that makes use of split-quaternions. The novelty of the present work, […]
Computation Offloading and Quantization Schemes for Federated Satellite-Ground Graph Networks
Satellite-Ground integrated networks (SGINs) are regarded as promising network architecture, which can provide global coverage, large broadband and mega access services for […]
Semantics Alignment Via Split Learning for Resilient Multi-User Semantic Communication
Recent studies on semantic communication commonly rely on neural network (NN) based transceivers such as deep joint source and channel coding (DeepJSCC). […]
1 T′/2 H MoS2 nanoflowers integrated with bismuth halide perovskite for improved photocatalytic hydrogen evolution
Lead-free perovskites have attracted considerable attention in photocatalytic hydrogen evolution due to their better moisture stability and lower toxicity than those of […]
Many birds, one stone: Medical image segmentation with multiple partially labeled datasets
Medical image segmentation is fundamental in the field of medical image analysis and has wide clinical applications in disease diagnosis and surgical […]
Discovering attention-guided cross-modality correlation for visible–infrared person re-identification
Visible–infrared person re-identification (VI Re-ID) is an essential and challenging task. Existing studies mainly focus on learning the unified modality-invariant representations directly […]
An Analog Beamforming Strategy based on Statistical Channel Information for Recharging Wireless Powered Sensor Networks
Wireless energy transfer (WET) technology is key for future wireless networks as it can enable uninterrupted and maintenance-free operation of Internet of […]
Wireless Federated Learning over Resource-Constrained Networks: Digital versus Analog Transmissions
To enable wireless federated learning (FL) in communication resource-constrained networks, two communication schemes, i.e., digital and analog ones, are effective solutions. In […]