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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Number of items: 11.

Young, Andrew T. and West, Graeme M. and Brown, Blair D. and Stephen, Bruce and McArthur, Stephen D.J. (2019) Improved explicability for pump diagnostics in nuclear power plants. In: 2019 ANS Winter Meeting and Nuclear Technology Expo, 2019-11-17 - 2019-11-21. (In Press)

Young, Andrew and Berry, Craig and West, Graeme M. and McArthur, Stephen D.J. (2019) A generalized model for fuel channel bore estimation in AGR cores. Nuclear Engineering and Design. ISSN 0029-5493 (In Press)

Young, Andrew and West, Graeme (2019) Advanced gas-cooled reactor fuel channel bore estimation model. In: 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, 2019-05-09 - 2019-05-10.

Stephen, Bruce and Brown, Blair and Young, Andrew and McArthur, Stephen and West, Graeme and Michie, Craig and Duncan, Andrew and Helfer-Hoeltgebaum, Henrique (2019) Improved feed pump performance through predictive analytics. In: 2019 Innovation Showcase: Nuclear Asset Management and Industrial Informatics, 2019-05-09 - 2019-05-10.

Young, A. T. and Aylward, W. and Murray, P. and West, G. M. and McArthur, S. D. J. (2019) Automatic anomaly detection in fuel grab load trace data using a knowledge-based system vs. multiple deep autoencoders. In: 11th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT) 2019, 2019-02-09 - 2019-02-14.

Young, Andrew and Aylward, William and Murray, Paul and West, Graeme and McArthur, Stephen and Rudge, Anna (2018) Fuel channel bore estimation for onload pressurised fuel grab load trace data. In: 6th EDF Energy Nuclear Graphite Conference, 2018-10-15 - 2018-10-18. (In Press)

Young, Andrew and Marshall, Stephen and Gray, Alison and White, Henry (2016) Atmospheric correction and target detection in aerial hyperspectral imagery. In: Marine Enterprise Innovation Scotland Conference 2016, 2016-12-08 - 2016-12-08, Technology and Innovation Centre - University of Strathclyde.

Young, Andrew and Kay, Andy and Marshall, Stephen and Torr, Ralph and Gray, Alison; (2016) Hyperspectral imaging for erosion detection in wind turbine blades. In: Proceedings of HSI 2016, 12-13th October 2016. UNSPECIFIED, GBR.

McCluskey, Andrew and Sindt, Julien and Young, Andrew and Sommerdijk, Nico A.J.M. and Murray, Paul and Camp, Philip J. and Nudelman, Fabio (2016) Self-assembly of collagen molecules into fibrils in solution. In: Gordon Conference on Biomineralisation, 2016-08-14 - 2016-10-19.

Young, Andrew and Marshall, Stephen and Gray, Alison; (2016) Outlier and target detection in aerial hyperspectral imagery : a comparison of traditional and percentage occupancy hit or miss transform techniques. In: Proc. SPIE 9844, Automatic Target Recognition XXVI. SPIE, USA.

Young, Andrew and Killey, Ainsley and Marshall, Stephen and Gray, Alison; (2014) Outlier and target detection in aerial hyperspectral imagery. In: Proceedings of HSI 2014, 15-16th October 2014. UNSPECIFIED, GBR.

This list was generated on Sat Jul 11 21:25:47 2020 BST.