X-ray Spectroscopy Fingerprints of Pristine and Functionalized Graphene
In this work, we demonstrate how to identify and characterize the atomic structure of pristine and functionalized graphene materials from a combination […]
Adaptive Semantic-Spatio-Temporal Graph Convolutional Network for Lip Reading
The goal of this work is to recognize words phrases and sentences being spoken by a talking face without given the audio. […]
Mission Effective Capacity: A Novel Dependability Metric
Various industrial Internet of Things applications demand execution periods throughout which no communication failure is tolerated. However the classical understanding of reliability […]
Aggregated Euclidean Distances for a Fast and Robust Real-Time 3D-MOT
Autonomous driving systems must have the ability to monitor the kinematic behaviour of multiple obstacles. Therefore 3D multi-object tracking (3D-MOT) is one […]
Robust model adaption for colour-based particle filter tracking with contextual information
Color-based particle filters have emerged as an appealing method for targets tracking. As the target may undergo rapid and significant appearance changes, […]
A Sensing Demonstration of a Sub THz Radio Link Incorporating a Lens Antenna
We demonstrate that the future sixth generation (6G) radio links can be utilized for sub-THz frequency imaging using narrow beamwidth, high gain, […]
Binaural Speech Separation Algorithm Based on Deep Clustering
Neutral network (NN) and clustering are the two commonly used methods for speech separation based on supervised learning. Recently, deep clustering methods […]
Cooperative Lossy Communications in Unmanned Aerial Vehicle Networks
This paper analyzes the robustness and timeliness for cooperative lossy communications in unmanned aerial vehicle (UAV) networks. The analytical framework consists of […]
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 […]
V2V Cooperative Sensing using Reinforcement Learning with Action Branching
Cooperative perception plays a vital role in extending a vehicle’s sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited […]