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Paul Kirkland
at Univ of Strathclyde
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Publications (5)
Proceedings Article | 13 November 2024 Presentation + Paper
A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge
Graham Bent, Cai Davies, Marc Roig Vilamala, Yuhua Li, Alun Preece, Gaetano Di Caterina, Alex Vicente Sola, Paul Kirkland, Gavin Pearson, Benomy Tutcher
Proceedings Volume 13206, 1320613 (2024) https://doi.org/10.1117/12.3030952
KEYWORDS: Cognitive modeling, Cameras, Artificial intelligence, Semantics, Object detection, Binary data, Decision making, Sensors, Device simulation, Video, Neurons
Proceedings Article | 13 November 2024 Presentation + Paper
The transformative potential of vector symbolic architecture for cognitive processing at the network edge
Graham Bent, Cai Davies, Marc Roig Vilamala, Yuhua Li, Alun Preece, Alex Vicente Sola, Gaetano Di Caterina, Paul Kirkland, Benomy Tutcher, Gavin Pearson
Proceedings Volume 13206, 1320612 (2024) https://doi.org/10.1117/12.3030949
KEYWORDS: Machine learning, Artificial intelligence, Vector spaces, Semantics, Sensors, Signal processing, Decision making, Data processing
Proceedings Article | 13 November 2024 Presentation + Paper
Deep learning-based turbulence mitigation for long range imaging
David Vint, Gaetano Di Caterina, Paul Kirkland, Robert Lamb
Proceedings Volume 13206, 132060Z (2024) https://doi.org/10.1117/12.3031269
KEYWORDS: Turbulence, Image quality, Education and training, Video, Deformation, Convolution, Data modeling, Performance modeling, Image processing
Proceedings Article | 21 September 2020 Presentation + Paper
Neuromorphic technologies for defence and security
Paul Kirkland, Gaetano Di Caterina, John Soraghan, George Matich
Proceedings Volume 11540, 115400V (2020) https://doi.org/10.1117/12.2575978
KEYWORDS: Defense and security, Information security, Sensors, Security technologies, Neural networks, Computer security, Network security, Cameras, Image segmentation, Machine learning
Proceedings Article | 20 September 2020 Presentation + Paper
Imaging from temporal data via spiking convolutional neural networks
Paul Kirkland, Valentin Kapitany, Ashley Lyons, John Soraghan, Alex Turpin, Daniele Faccio, Gaetano Di Caterina
Proceedings Volume 11540, 115400J (2020) https://doi.org/10.1117/12.2573484
KEYWORDS: Convolutional neural networks, Sensors, Image sensors, CCD image sensors, Image retrieval, Neural networks, Data processing, Feature extraction, Image restoration, Digital imaging
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