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: 2020 | 2018
Number of items: 3.

2020

Liu, Guijie and Hao, Huanhuan and Yang, Tingting and Liu, Shuikuan and Wang, Mengmeng and Incecik, Atilla and Li, Zhixiong (2020) Flow field perception of a moving carrier based on an artificial lateral line system. Sensors (Switzerland), 20 (5). 1512. ISSN 1424-8220

2018

Gao, Fei and Ma, Fei and Wang, Jun and Sun, Jinping and Yang, Erfu and Zhou, Huiyu (2018) Semi-supervised generative adversarial nets with multiple generators for SAR image recognition. Sensors (Switzerland), 18 (8). 2706. ISSN 1424-8220

Cappello, Carlo and Zonta, Daniele and Laasri, Hassan Ait and Glisic, Branko and Wang, Ming (2018) Calibration of elasto-magnetic sensors on in-service cable-stayed bridges for stress monitoring. Sensors (Switzerland), 18 (2). 466. ISSN 1424-8220

This list was generated on Fri Jul 3 21:23:47 2020 BST.