Asymmetric-waveguide, short cavity designs with a bulk active layer for high pulsed power eye-safe spectral range laser diodes
It is shown, by calculations calibrated against the authors’ recent experimental data, that an eye-safe wavelength range InGaAsP/InP high pulsed power laser […]
Deep Learning Meets Cognitive Radio
Learning the channel occupancy patterns to reuse the underutilised spectrum frequencies without interfering with the incumbent is a promising approach to overcome […]
Energy-efficient routing of electric vehicles with integrated photovoltaic installations
This paper investigates the potential output power of photovoltaic (PV) installations on top of battery-powered electric vehicles (BEVs) and hybrid electric vehicles […]
Detecting defects in photovoltaic cells and panels with the help of time-resolved thermography under outdoor environmental conditions
This paper investigates defects in photovoltaic (PV) cell and panels, in particular, the size and location of defects. We concentrate on characterising […]
Resource Awareness in Unmanned Aerial Vehicle-Assisted Mobile-Edge Computing Systems
This paper investigates an unmanned aerial vehicle (UAV)-assisted mobile-edge computing (MEC) system, in which the UAV provides complementary computation resource to the […]
High Reliability Downlink MU-MIMO
In this paper a proposal to improve the reliability of a downlink multiuser (MU) MIMO transmission scheme is investigated with the use […]
Positioning of Multiple Unmanned Aerial Vehicle Base Stations in Future Wireless Network
Unmanned aerial vehicle (UAV) base stations (BSs) are reliable and efficient alternative to full fill the coverage and capacity requirements when the […]
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems
End-to-end learning of a communications system using the deep learning-based autoencoder concept has drawn interest in recent research due to its simplicity, […]
Rapid fault diagnosis of photovoltaic panels under outdoor environmental conditions
This paper investigates opportunities to rapidly detect defects in photovoltaic (PV) panels. It is worth noting that a defect in a single […]
Developing AI into explanatory supporting models
Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching […]