13 citations · 32 across the 7 of their papers we have counts for
7 papers
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI
Kai Jeggle, Mikolaj Czerkawski, Federico Serva +3
IceCloudNet is a novel method based on machine learning able to predict high-quality vertically resolved cloud ice water contents (IWC) and ice crystal number concentrations (N$_\t…
Non-invasive Diver Respiration Rate Monitoring in Hyperbaric Lifeboat Environments using Short-Range Radar
Mikolaj Czerkawski, Fraser Stewart, Christos Ilioudis +8
The monitoring of diver health during emergency events is crucial to ensuring the safety of personnel. A non-invasive system continuously providing a measure of the respiration rat…
On Models and Approaches for Human Vital Signs Extraction from Short Range Radar Signals
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The paper centres on an assessment of the modelling approaches for the processing of signals in CW and FMCW radar-based systems for the detection of vital signs. It is shown that t…
A Novel Micro-Doppler Coherence Loss for Deep Learning Radar Applications
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
Deep learning techniques are subject to increasing adoption for a wide range of micro-Doppler applications, where predictions need to be made based on time-frequency signal represe…
Interference Motion Removal for Doppler Radar Vital Sign Detection Using Variational Encoder-Decoder Neural Network
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The treatment of interfering motion contributions remains one of the key challenges in the domain of radar-based vital sign monitoring. Removal of the interference to extract the v…
On Input Formats for Radar Micro-Doppler Signature Processing by Convolutional Neural Networks
Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1
Convolutional neural networks have often been proposed for processing radar Micro-Doppler signatures, most commonly with the goal of classifying the signals. The majority of works…