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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.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

Strathprints

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Jump to: 2024 | 2023
Number of items: 5.

2024

Cowlishaw, Robert and Riccardi, Annalisa and Arulselvan, Ashwin (2024) Advancing satellite network consensus through optimal orbital configurations. In: 75th International Astronautical Congress, 2024-10-14 - 2024-10-18, MICO Convention Centre.

Cowlishaw, Robert and Riccardi, Annalisa and Arulselvan, Ashwin (2024) Optimizing participant selection for fault-tolerant decision making in orbit using mixed integer linear programming. IEEE Transactions on Geoscience and Remote Sensing, 17. pp. 16961-16969. ISSN 0196-2892

Cowlishaw, Robert and Arulselvan, Ashwin and Riccardi, Annalisa (2024) Multi-objective optimisation strategy for on-orbit fault-tolerant decision making. In: 2024 IEEE World Congress on Computational Intelligence (WCCI), 2024-06-30 - 2024-07-05.

2023

Cowlishaw, Robert and Riccardi, Annalisa and Arulselvan, Ashwin; Soille, P. and Lumnitz, S. and Albani, S., eds. (2023) Proof of optimality for a decentralised EO data processing architecture. In: Proceedings of the 2023 conference on Big Data from Space (BiDS’23). Publications Office of the European Union, AUT, pp. 389-392. ISBN 9789268086964

Cowlishaw, Robert and Boumghar, Red and Arulselvan, Ashwin and Riccardi, Annalisa (2023) Automating and decentralising satellite-based emergency mapping. In: 5th International Conference on Blockchain Computing and Applications, 2023-10-24 - 2023-10-26.

This list was generated on Tue Mar 4 03:08:31 2025 GMT.