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 | 2015
Number of items: 2.

2017

Gao, Fei and Yue, Zhenyu and Wang, Jun and Sun, Jinping and Yang, Erfu and Zhou, Huiyu (2017) A novel active semisupervised convolutional neural network algorithm for SAR image recognition. Computational Intelligence and Neuroscience, 2017. pp. 1-8. 3105053. ISSN 1687-5273

2015

Zhang, Yi and Ren, Jinchang and Jiang, Jianmin (2015) Combining MLC and SVM classifiers for learning based decision making : analysis and evaluations. Computational Intelligence and Neuroscience, 2015. 423581. ISSN 1687-5273

This list was generated on Sun Jul 5 16:01:28 2020 BST.