Energy-Aware Federated Learning With Distributed User Sampling and Multichannel ALOHA
Distributed learning on edge devices has attracted increased attention with the advent of federated learning (FL). Notably, edge devices often have limited […]
Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service
We present two datasets for Machine Learning (ML)-based Predictive Quality of Service (PQoS) comprising Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) radio channel measurements. […]
TrustedMaaS
Mobility-as-a-Service (MaaS) is an advanced Intelligent Transport System (ITS) that integrates various modes of transportation to meet the demands of travellers. The […]
Face2PPG: An Unsupervised Pipeline for Blood Volume Pulse Extraction From Faces
Photoplethysmography (PPG) signals have become a key technology in many fields, such as medicine, well-being, or sports. Our work proposes a set […]
Public libraries as a partner in digital innovation project
We introduce a project titled as Our Shared Virtual World which aims at increasing public libraries’ capability to provide knowledge on digital […]
Multiuser MIMO Wideband Joint Communications and Sensing System with Subcarrier Allocation
In wideband joint communications and sensing (JCAS) systems, the waveforms are often designed and optimized over the entire bandwidth. This significantly limits […]
Fivefold Peak Power Boost in HBT-Driven GaAs Collapsing-Field-Domain-Based Sub-THz Source
Miniature on-chip sources based on the collapsing field domain phenomenon in GaAs have advanced compact sub-picosecond time-domain imaging schemes operating in the […]
Virtual Antenna Array for W-band Channel Sounding: Design, Implementation, and Experimental Validation
Sub-Terahertz (sub-THz) (i.e., 100‐300 GHz) communication is envisioned as one of the key components for future beyond fifth-generation (B5G) communication systems due […]
Lightweight Pixel Difference Networks for Efficient Visual Representation Learning
Recently, there have been tremendous efforts in developing lightweight Deep Neural Networks (DNNs) with satisfactory accuracy, which can enable the ubiquitous deployment […]
Composition Dependence of the Band Gaps of Semiconducting GeSₓSe1–x van der Waals Alloys
Alloying of two-dimensional (2D)/layered chalcogenide semiconductors by forming ternaries with properties that span the range between the binary constituents allows tuning of […]