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 Author or creator

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 | 2017 | 2015
Number of items: 3.

2018

Chen, Senyong and Qin, Yi and Chen, J.G. and Choy, Chee-Mun (2018) A forging method for reducing process steps in the forming of automotive fasteners. International Journal of Mechanical Sciences, 137. pp. 1-14. ISSN 0020-7403

2017

Chen, Senyong and Qin, Yi and Choy, Chee-Mun and Chen, J.G. (2017) Testing an injection forging process for the production of automotive fasteners. Procedia Engineering, 207. pp. 508-513. ISSN 1877-7058

2015

Chen, Senyong and Qin, Yi; Qin, Y. and Dean, A. and Lin, J. and Yuan, S. J. and Vollertsen, F., eds. (2015) Comparison study of multistep forging and injection forging of automobile fasteners. In: 4th International Conference on New Forming Technology (ICNFT 2015). MATEC Web of Conferences . EDP Sciences, GBR. ISBN 9782759818235

This list was generated on Tue Jul 14 12:18:37 2020 BST.