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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Number of items: 2.

2019

Coghill, Ian and Jordan, Kirsty C. and Menolotto, Matteo and Black, Richard A. and Livingstone, Iain A.T. and Giardini, Mario E. (2019) Synthetic stereo images of the optic disc from the CORD dataset. In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019-07-23 - 2019-07-27.

2017

Jordan, Kirsty C and Menolotto, Matteo and Bolster, Nigel M and Livingstone, Iain AT and Giardini, Mario E (2017) A review of feature-based retinal image analysis. Expert Review of Ophthalmology, 12 (3). pp. 207-220. ISSN 1746-9899

This list was generated on Fri Jul 10 11:26:35 2020 BST.

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