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: 2019
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2019

Lapp, Linda and Bouamrane, Matt-Mouley and Kavanagh, Kimberley and Roper, Marc and Young, David and Schraag, Stefan; Wilk, Szymon and ten Teije, Annette and Riaño, David, eds. (2019) Evaluation of random forest and ensemble methods at predicting complications following cardiac surgery. In: Artificial Intelligence in Medicine - 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer, Cham, 376–385. ISBN 9783030216429

This list was generated on Sun Jul 12 08:03:20 2020 BST.