41 citations · 82 across the 10 of their papers we have counts for
11 papers
Signal-Based Malware Classification Using 1D CNNs
Jack Wilkie, Hanan Hindy, Ivan Andonovic +2
Malware classification is a contemporary and ongoing challenge in cyber-security: modern obfuscation techniques are able to evade traditional static analysis, while dynamic analysi…
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…
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…
Robustness of Deep Neural Networks for Micro-Doppler Radar Classification
Mikolaj Czerkawski, Carmine Clemente, Craig Michie +1
With the great capabilities of deep classifiers for radar data processing come the risks of learning dataset-specific features that do not generalize well. In this work, the robust…
Modelling of Networked Measuring Systems -- From White-Box Models to Data Based Approaches
Klaus-Dieter Sommer, Peter Harris, Sascha Eichstädt +10
Mathematical modelling is at the core of metrology as it transforms raw measured data into useful measurement results. A model captures the relationship between the measurand and a…
Neural Weight Step Video Compression
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
A variety of compression methods based on encoding images as weights of a neural network have been recently proposed. Yet, the potential of similar approaches for video compression…
Neural Knitworks: Patched Neural Implicit Representation Networks
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applicatio…
A Review of Cyber-Ranges and Test-Beds: Current and Future Trends
Elochukwu Ukwandu, Mohamed Amine Ben Farah, Hanan Hindy +7
Cyber situational awareness has been proven to be of value in forming a comprehensive understanding of threats and vulnerabilities within organisations, as the degree of exposure i…
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Hanan Hindy, Christos Tachtatzis, Robert Atkinson +5
The use of supervised Machine Learning (ML) to enhance Intrusion Detection Systems has been the subject of significant research. Supervised ML is based upon learning by example, de…
Integration of in situ Imaging and Chord Length Distribution Measurements for Estimation of Particle Size and Shape
Okpeafoh S. Agimelen, Anna Jawor-Baczynska, John McGinty +5
Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle…