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 | 2013 | 2012
Number of items: 3.

2017

Mafuta, Million and Dauenhauer, Peter and Chadza, Timothy (2017) Small scale rollout of PV systems in Chikwawa District, Malawi : remote monitoring system effectiveness. Journal of Solar Energy, 2017. pp. 1-21. 9583860. ISSN 2314-6230

2013

Dauenhauer, P.M. and Frame, D.F. and Strachan, S. and Dolan, M. and Mafuta, M. and Chakraverty, D. and Henrikson, J.; (2013) Remote monitoring of off-grid renewable energy case studies in rural Malawi, Zambia, and Gambia. In: 2013 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, USA, 395 - 400. ISBN 978-1-4799-2401-1

2012

Mafuta, Million Trocco and Chadza, Timothy and Gombachika, Harry and Ault, Graham and Frame, Damien Fleming and Banda, Elijah (2012) Remote monitoring for wireless sensor based irrigation system in Malawi. In: National Commission for Science and Technology (NCST) - National Research Dissemination 2012, 2012-05-02.

This list was generated on Mon Jul 6 06:41:34 2020 BST.