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...

Browse by Journal or other publication

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Number of items: 3.

Huang, Yanli and Hou, Jie and Yang, Erfu (2020) General decay lag anti-synchronization of multi-weighted delayed coupled neural networks with reaction–diffusion terms. Information Sciences, 511. pp. 36-57. ISSN 0020-0255

Zhou, Jiajun and Yao, Xifan and Lin, Yingzi and Chan, Felix T.S. and Li, Yun (2018) An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing. Information Sciences, 456. pp. 50-82. ISSN 0020-0255

Chiachío, Manuel and Chiachío, Juan and Prescott, Darren and Andrews, John (2018) A new paradigm for uncertain knowledge representation by Plausible Petri nets. Information Sciences, 453. pp. 323-345. ISSN 0020-0255

This list was generated on Sun Jul 12 03:29:37 2020 BST.