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.

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

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Jump to: 2017 | 2016
Number of items: 3.

2017

Md Noor, Siti Salwa and Michael, Kaleena and Marshall, Stephen and Ren, Jinchang (2017) Hyperspectral image enhancement and mixture deep-learning classification of corneal epithelium injury. Sensors, 17 (11). 2644. ISSN 1424-8220

Michael, Kaleena and Siti Salwa Binti Md Noor, S and Tschannerl, Julius and Ren, Jinchang and Marshall, Stephen (2017) The properties of the cornea based on hyperspectral imaging. Investigative Ophthalmology and Visual Science, 58 (8). 2439. ISSN 0146-0404

2016

Noor, S.S.M. and Michael, K. and Marshall, S. and Ren, J. and Tschannerl, J. and Kao, F.J.; Minárik, Ivan and Rybárová, Renata and Trúchly, Peter and Rozinaj, Gregor, eds. (2016) The properties of the cornea based on hyperspectral imaging : optical biomedical engineering perspective. In: Proceedings: the 23rd International Conference on Systems, Signals and Image Processing. IEEE, SVK. ISBN 9781467395557

This list was generated on Fri Jul 10 02:19:42 2020 BST.