Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2018 | 2017 | 2015 | 2014
Number of items: 4.

2018

Wang, Xiaoyu and McArthur, Stephen D.J. and Strachan, Scott M. and Kirkwood, John D. and Paisley, Bruce (2018) A data analytic approach to automatic fault diagnosis and prognosis for distribution automation. IEEE Transactions on Smart Grid, 9 (6). pp. 6265-6273. ISSN 1949-3053

2017

Wang, Xiaoyu and McArthur, Stephen and Strachan, Scott and Paisley, Bruce; (2017) Decision support for distribution automation : data analytics for automated fault diagnosis and prognosis. In: Proceedings of 24th International Conference and Exhibition on Electricity Distribution (CIRED). IET, GBR. (In Press)

2015

Wang, X. and Strachan, S. M. and McArthur, S. D. J. and Kirkwood, J. D.; (2015) Automatic analysis of Pole Mounted Auto-Recloser data for fault diagnosis and prognosis. In: 2015 18th International Conference on Intelligent System Application to Power Systems, ISAP 2015. IEEE, PRT. ISBN 9781509001903

2014

Wang, Xiaoyu and Strachan, Scott and Kirkwood, John and McArthur, Stephen; (2014) Automatic analysis of pole mounted auto-recloser data for fault prognosis to mitigate customer supply interruptions. In: 2014 49th International Universities Power Engineering Conference (UPEC). IEEE, ROM, pp. 1-6. ISBN 978-1-4799-6556-4

This list was generated on Wed Jul 8 16:38:51 2020 BST.