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
Jump to: 2018 | 2012 | 2011 | 1996
Number of items: 4.

2018

Sun, Genyun and Ma, Ping and Ren, Jinchang and Zhang, Aizhu and Jia, Xiuping (2018) A stability constrained adaptive alpha for gravitational search algorithm. Knowledge Based Systems, 139. pp. 200-213. ISSN 0950-7051

2012

Ren, Jinchang (2012) ANN vs. SVM : which one performs better in classification of MCCs in mammogram imaging. Knowledge Based Systems, 26. pp. 144-153. ISSN 0950-7051

2011

Alkhateeb, Jawad H. and Pauplin, Olivier and Ren, Jinchang and Jiang, Jianmin (2011) Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition. Knowledge Based Systems, 24 (5). pp. 680-688. ISSN 0950-7051

1996

Duffy, A.H.B. and Persidis, A. and MacCallum, K.J. (1996) NODES - A numerical and object based modelling system for conceptual engineering design. Knowledge Based Systems, 9 (3). pp. 183-206. ISSN 0950-7051

This list was generated on Wed Jul 15 16:46:32 2020 BST.