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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Number of items: 25.

Vicente-Sola, Alex and Manna, Davide L. and Kirkland, Paul and Di Caterina, Gaetano and Bihl, Trevor J. (2025) Spiking Neural Networks for event-based action recognition : a new task to understand their advantage. Neurocomputing, 611. 128657. ISSN 0925-2312

Manna, Davide Liberato and Di Caterina, Gaetano and Vicente Sola, Alex and Kirkland, Paul; (2024) An approach to time series forecasting with derivative spike encoding and spiking neural networks. In: Proceedings of the 58th Annual Hawaii International Conference on System Sciences, HICSS 2025. Proceedings of the Annual Hawaii International Conference on System Sciences . Shidler College of Business, University of Hawaii at Manoa, USA. (In Press)

Manna, Davide Liberato and Vicente-Sola, Alex and Kirkland, Paul and Bihl, Trevor Joseph and Di Caterina, Gaetano (2024) Time series forecasting via derivative spike encoding and bespoke loss functions for SNNs. Computers, 13 (8). 202. ISSN 2073-431X

Vint, David and Di Caterina, Gaetano and Kirkland, Paul and Lamb, Robert; (2024) Deep learning-based turbulence mitigation for long-range imaging. In: SPIE Sensors + Imaging. SPIE, GBR. (In Press)

Bent, Graham and Davies, Cai and Roig Vilamala, Marc and Li, Yuhua and Preece, Alun and Di Caterina, Gaetano and Vicente Sola, Alex and Kirkland, Paul and Pearson, Gavin and Tutcher, Benomy; (2024) A demonstration of vector symbolic architecture as an effective integrated technology for AI at the network edge. In: SPIE Sensors + Imaging. SPIE, GBR. (In Press)

Bent, Graham and Davies, Cai and Roig Vilamala, Marc and Li, Yuhua and Preece, Alun and Vicente Sola, Alex and Di Caterina, Gaetano and Kirkland, Paul and Tutcher, Benomy and Pearson, Gavin; (2024) The transformative potential of vector symbolic architecture for cognitive processing at the network edge. In: SPIE Sensors + Imaging. SPIE, GBR. (In Press)

Chaudhari, Pranav and Vicente-Sola, Alex and Basu, Amlan and Manna, Davide L. and Kirkland, Paul and Di Caterina, Gaetano (2024) Sign language recognition using spiking neural networks. Procedia Computer Science, 235. pp. 2674-2683. ISSN 1877-0509

Robertson, Joshua and Kirkland, Paul and Di Caterina, Gaetano and Hurtado, Antonio (2024) VCSEL-based photonic spiking neural networks for ultrafast detection and tracking. Neuromorphic Computing and Engineering, 4 (1). 014010. ISSN 2634-4386

Bihl, Trevor J. and Farr, Patrick and Di Caterina, Gaetano and Kirkland, Paul and Vicente Sola, Alex and Manna, Davide and Liu, Jundong and Combs, Kara; Bui, Tung X., ed. (2024) Exploring spiking neural networks (SNN) for low Size, Weight, and Power (SWaP) benefits. In: Proceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024. Proceedings of the Annual Hawaii International Conference on System Sciences . Shidler College of Business, University of Hawaii at Manoa, USA, pp. 7561-7570. ISBN 9780998133171

Vint, D. and Di Caterina, G. and Kirkland, P. and Lamb, R.A. and Humphreys, D. (2023) Simulation of anisoplanatic turbulence for images and videos. In: Sensor Signal Processing for Defence 2023, 2023-09-12 - 2023-09-13.

Kirkland, Paul and Clemente, Carmine and Macdonald, Malcolm and Di Caterina, Gaetano and Meoni, Gabriele; (2023) Neuromorphic sensing and processing for space domain awareness. In: 2023 International Geoscience and Remote Sensing Symposium, IGARSS2023 - Proceedings. IEEE, Piscataway, NJ..

Manna, Davide L. and Vicente-Sola, Alex and Kirkland, Paul and Bihl, Trevor J. and Di Caterina, Gaetano (2023) Frameworks for SNN : a review of data science-oriented software and an expansion of SpykeTorch. In: Engineering Applications and Advances of Artificial Intelligence, 2023-06-14 - 2023-06-17, University of León.

Kirkland, Paul and Manna, Davide and Vicente Sola, Alex and Di Caterina, Gaetano (2022) Unsupervised spiking instance segmentation on event data using STDP features. IEEE Transactions on Computers, 71 (11). pp. 2728-2739. ISSN 0018-9340

Manna, Davide L and Vicente-Sola, Alex and Kirkland, Paul and Bihl, Trevor J and Di Caterina, Gaetano (2022) Simple and complex spiking neurons : perspectives and analysis in a simple STDP scenario. Neuromorphic Computing and Engineering, 2 (4). 044009. ISSN 2634-4386

Vicente-Sola, Alex and Manna, Davide L and Kirkland, Paul and Di Caterina, Gaetano and Bihl, Trevor (2022) Keys to accurate feature extraction using residual spiking neural networks. Neuromorphic Computing and Engineering, 2 (4). 044001. ISSN 2634-4386

Kirkland, Paul and Di Caterina, Gaetano; (2022) Movement classification and segmentation using event-based sensing and spiking neural networks. In: 2022 Sensor Signal Processing for Defence Conference, SSPD 2022 - Proceedings. 2022 Sensor Signal Processing for Defence Conference, SSPD 2022 - Proceedings . IEEE, GBR. ISBN 9781665483483

Robertson, Joshua and Kirkland, Paul and Alanis, Juan Arturo and Hejda, Matěj and Bueno, Julián and Di Caterina, Gaetano and Hurtado, Antonio (2022) Ultrafast neuromorphic photonic image processing with a VCSEL neuron. Scientific Reports, 12. 4874. ISSN 2045-2322

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Matich, George (2020) Perception understanding action : adding understanding to the perception action cycle with spiking segmentation. Frontiers in Neurorobotics, 14. 568319. ISSN 1662-5218

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Matich, George; (2020) SpikeSEG : Spiking segmentation via STDP saliency mapping. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 978-1-7281-6926-2

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Matich, George; Buller, Gerald S. and Hollins, Richard C. and Lamb, Robert A. and Laurenzis, Martin and Camposeo, Andrea and Farsari, Maria and Persano, Luana and Busse, Lynda E., eds. (2020) Neuromorphic technologies for defence and security. In: Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III. Proceedings of SPIE . SPIE, Bellingham, Washington. ISBN 9781510638945

Kirkland, Paul and Kapitany, Valentin and Lyons, Ashley and Soraghan, John and Turpin, Alex and Faccio, Daniele and Di Caterina, Gaetano; Buller, Gerald S. and Hollins, Richard C. and Lamb, Robert A. and Laurenzis, Martin and Camposeo, Andrea and Farsari, Maria and Persano, Luana and Busse, Lynda E., eds. (2020) Imaging from temporal data via spiking convolutional neural networks. In: Emerging Imaging and Sensing Technologies for Security and Defence V; and Advanced Manufacturing Technologies for Micro- and Nanosystems in Security and Defence III. SPIE, Bellingham, Washington. ISBN 9781510638938

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Thomas, Kevin and Matich, George (2020) Neuromorphic engineering : taking AI to the edge. Polaris Innovation Journal.

Kirkland, Paul and Di Caterina, Gaetano and Soraghan, John and Andreopoulos, Yiannis and Matich, George (2019) UAV detection : a STDP trained deep convolutional spiking neural network retina-neuromorphic approach. In: 28th International Conference on Artificial Neural Networks 2019, 2019-09-17 - 2019-09-19, Klinikum rechts der Isar, Technische Universität München.

Persico, Adriano Rosario and Kirkland, Paul and Clemente, Carmine and Soraghan, John J. and Vasile, Massimiliano (2019) CubeSat-based passive bistatic radar for space situational awareness : a feasibility study. IEEE Transactions on Aerospace and Electronic Systems, 55 (1). pp. 476-485. 8387455. ISSN 0018-9251

Xing, Y and Kirkland, P and Di Caterina, G and Soraghan, J and Matich, G (2018) Real-time embedded intelligence system : emotion recognition on Raspberry Pi with Intel NCS. In: 27th International Conference on Artificial Neural Networks, 2018-10-05 - 2018-10-07.

This list was generated on Thu Nov 21 02:37:08 2024 GMT.