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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Article

Ni, Binye and Xiang, Wang and Zhou, Meng and Lu, Xiaojun and Zuo, Wenping and Yao, Wei and Wen, Jinyu (2020) A mechanical DCCB with re-closure capability and its performance in MMC based DC grid. International Journal of Electrical Power & Energy Systems, 121. 106128. ISSN 0142-0615

Lin, Zi and Liu, Xiaolei and Collu, Maurizio (2020) Wind power prediction based on High-frequency SCADA data along with isolation forest and deep learning neural networks. International Journal of Electrical Power & Energy Systems, 118. 105835. ISSN 0142-0615

This list was generated on Sun Jul 12 05:44:54 2020 BST.