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 […]
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 […]
An integrated 9×9 SPAD array with a 10-channel TDC and a CMOS laser diode driver for a wearable time-domain diffuse optics optode
A 9×9 Single-Photon Avalanche Photodiode (SPAD) array with a 10-channel time-to-digital converter and an integrated laser diode driver fabricated in 0.35 μm […]
A vibrational energy harvester based on soft-nonlinearity for truly random excitation
In this paper, we present a nonlinear energy harvester that is based on a “soft-mode” nonlinearity and is able to work in […]
Band bending and valence band quantization at line defects in MoS2
The variation of the electronic structure normal to 1D defects in quasi-freestanding MoS₂, grown by molecular beam epitaxy, is investigated through high […]
How subtle can it get?
Flying drones have become common objects in our daily lives, serving a multitude of purposes. Many of these purposes involve outdoor scenarios […]
Iterative Bayesian-based Localization Mechanism for Industry Verticals
We propose and evaluate an iterative localization mechanism employing Bayesian inference to estimate the position of a target using received signal strength […]
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, […]
Deep Learning for 3D Point Clouds
Point cloud learning has lately attracted increasing attention due to its wide applications in many areas, such as computer vision, autonomous driving, […]
Deep Learning-Based Multimodal Data Fusion
Background: Multimodal wearable technologies have brought forward wide possibilities in human activity recognition, and more specifically personalized monitoring of eating habits. The […]