no code implementations • 15 Apr 2024 • Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
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.
no code implementations • 15 Apr 2024 • Mikolaj Czerkawski, Fraser Stewart, Christos Ilioudis, Craig Michie, Ivan Andonovic, Robert Atkinson, Maurice Coull, Donald Sandilands, Gareth Kerr, Carmine Clemente, Christos Tachtatzis
Further, evidence is provided that the radar-based approach yields a more accurate measure of respiration rate than an audio signal from a headset microphone.
no code implementations • 12 Apr 2024 • Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Christos Tachtatzis
Convolutional neural networks have often been proposed for processing radar Micro-Doppler signatures, most commonly with the goal of classifying the signals.
no code implementations • 12 Apr 2024 • Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
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 representations.
no code implementations • 12 Apr 2024 • Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente, Craig Michie, Ivan Andonovic, Christos Tachtatzis
A novel approach to the removal of interference through the use of a probabilistic deep learning model is presented.
no code implementations • 21 Feb 2024 • Mikolaj Czerkawski, Carmine Clemente, Craig Michie, Christos Tachtatzis
Both small temporal shifts and adversarial examples are a result of a model overfitting on features that do not generalize well.
no code implementations • 21 Dec 2023 • Klaus-Dieter Sommer, Peter Harris, Sascha Eichstädt, Roland Füssl, Tanja Dorst, Andreas Schütze, Michael Heizmann, Nadine Schiering, Andreas Maier, Yuhui Luo, Christos Tachtatzis, Ivan Andonovic, Gordon Gourlay
This paradigm shift holds true in particular for the digital future of measurement in all spheres of our lives and the environment, where data provided by large and complex interconnected systems of sensors are to be analysed.
no code implementations • 6 Nov 2023 • Mikolaj Czerkawski, Christos Tachtatzis
The letter investigates the utility of text-to-image inpainting models for satellite image data.
no code implementations • 1 Aug 2023 • Mikolaj Czerkawski, Robert Atkinson, Christos Tachtatzis
This work explores capabilities of the pre-trained CLIP vision-language model to identify satellite images affected by clouds.
no code implementations • 2 Dec 2021 • Mikolaj Czerkawski, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis
A variety of compression methods based on encoding images as weights of a neural network have been recently proposed.
no code implementations • 29 Sep 2021 • Mikolaj Czerkawski, Javier Cardona, Robert Atkinson, Craig Michie, Ivan Andonovic, Carmine Clemente, Christos Tachtatzis
Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applications.
no code implementations • 6 Mar 2021 • Hanan Hindy, Robert Atkinson, Christos Tachtatzis, Ethan Bayne, Miroslav Bures, Xavier Bellekens
The features used in these studies are broadly similar and have demonstrated their effectiveness in situations where cyber-attacks do not imitate benign behaviour.
no code implementations • 27 Jun 2020 • Hanan Hindy, Christos Tachtatzis, Robert Atkinson, David Brosset, Miroslav Bures, Ivan Andonovic, Craig Michie, Xavier Bellekens
Supervised ML is based upon learning by example, demanding significant volumes of representative instances for effective training and the need to re-train the model for every unseen cyber-attack class.
2 code implementations • 9 Jun 2018 • Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Christos Tachtatzis, Robert Atkinson, Xavier Bellekens
This manuscript aims to pinpoint research gaps and shortcomings of current datasets, their impact on building Network Intrusion Detection Systems (NIDS) and the growing number of sophisticated threats.
no code implementations • 29 Aug 2017 • Elike Hodo, Xavier Bellekens, Ephraim Iorkyase, Andrew Hamilton, Christos Tachtatzis, Robert Atkinson
A study to compare the reliability and efficiency of Artificial Neural Network and Support vector machine in detecting nonTor traffic in UNB-CIC Tor Network Traffic dataset is presented in this paper.
no code implementations • 7 Apr 2017 • Elike Hodo, Xavier Bellekens, Andrew Hamilton, Pierre-louis Dubouilh, Ephraim Iorkyase, Christos Tachtatzis, Robert Atkinson
The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and automobiles.
no code implementations • 9 Jan 2017 • Elike Hodo, Xavier Bellekens, Andrew Hamilton, Christos Tachtatzis, Robert Atkinson
Moreover, a taxonomy and survey of shallow and deep networks intrusion detection systems is presented based on previous and current works.