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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Jump to: 2013 | 2010 | 2009 | 2007
Number of items: 4.

2013

Tripney, Brian Grieve and Ross, Isla and Wilson, Francis and Wilson, John; Decker, H and Lhotsk√°, Lenka and Link, Sebastian and Basl, Josef and Tjoa, A Min, eds. (2013) Data value storage for compressed semi-structured data. In: Database and Expert Systems Applications. Lecture Notes in Computer Science, 8056 . Springer-Verlag Berlin, Berlin, pp. 174-188. ISBN 9783642401725

2010

Tripney, B. and Christopher, Foley and Gourlay, R. and Wilson, J. (2010) Efficient data representation for XML in peer-based systems. International Journal of Web Information Systems, 6 (2). pp. 132-148. ISSN 1744-0084

2009

Tripney, Brian Grieve and Foley, Christopher Eric and Gourlay, Richard Scott and Wilson, John; Kotsis, Gabriele and Taniar, David and Pardede, Eric, eds. (2009) Sharing large data collections between mobile peers. In: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia. ACM, New York, NY, pp. 321-325. ISBN 978-1-60558-659-5

2007

Gourlay, Richard and Tripney, Brian and Wilson, John; (2007) Compressed materialised views of semi-structured data. In: 24th British National Conference on Databases (BNCOD'07). IEEE, GBR, pp. 75-82. ISBN 0769529127

This list was generated on Fri Jul 10 01:03:24 2020 BST.