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, […]
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
This paper aims to integrate two synergetic technologies, federated learning (FL) and width-adjustable slimmable neural network (SNN) architectures. FL preserves data privacy […]
Cell-Free mmWave Massive MIMO Systems With Low-Capacity Fronthaul Links and Low-Resolution ADC/DACs
In this paper we consider the uplink channel estimation phase and downlink data transmission phase of cell-free millimeter wave (mmWave) massive multiple-input […]
Situational Awareness for Autonomous Ships in the Arctic
The maritime autonomous surface ship (MASS) promises a revolution in naval logistics by offering sustainability safety and operational costs reduction. The MASS […]
4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities
Micro-expressions (ME) are a special form of facial expressions which may occur when people try to hide their true feelings for some […]
Damping oscillations in a wire bending process
This paper presents an approach to modify CAD/CAM generated motion profiles for wire bending machines in order to damp wire oscillations without […]
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks. In this regard the Wake-up Signal (WuS) technology which […]