Time-Triggered Federated Learning Over Wireless Networks
The newly emerging federated learning (FL) framework offers a new way to train machine learning models in a privacy-preserving manner. However traditional […]
Statistical Digital Predistortion of 5G Millimeter-Wave RF Beamforming Transmitter Under Random Amplitude Variations
The nonlinearity of the fifth-generation (5G) millimeter-wave (mmWave) phased array transmitter (TX) depends on the variations in the beamforming coefficients e.g. due […]
Multi-class random access wireless network
This paper presents new analytical results for evaluating the ALOHA-like multi-class random access wireless network’s performance. The proposed model is motivated by […]
Hyperspectral Estimation of Soil Copper Concentration Based on Improved TabNet Model in the Eastern Junggar Coalfield
China is the largest coal consumer in the world. The massive exploitation and utilization of coal resources have resulted in serious problems […]
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Face presentation attack detection (PAD) is essential to secure face recognition systems primarily from high-fidelity mask attacks. Most existing 3D mask PAD […]
Learning How to Configure LoRa Networks With No Regret
Long range (LoRa) is one of the most popular technologies for low-power wide area networks. It offers long-range communication with a low […]
Beyond 5G RIS mmWave Systems
Upcoming beyond fifth generation (5G) communications systems aim at further enhancing key performance indicators and fully supporting brand-new use cases by embracing […]
Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles
The deployment of future intelligent transportation systems is contingent upon seamless and reliable operation of connected and autonomous vehicles (CAVs). One key […]
Privacy-Phys
The invisible remote photoplethysmography (rPPG) signals in facial videos can reveal the cardiac rhythm and physiological status. Recent studies show that rPPG […]
Cross-Database Micro-Expression Recognition Based on a Dual-Stream Convolutional Neural Network
Cross-database micro-expression recognition (CDMER) is a difficult task, where the target (testing) and source (training) samples come from different micro-expression (ME) databases, […]