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: 2019 | 2018 | 2008
Number of items: 4.

2019

Liu, Bin and Do, Phuc and Iung, Benoit and Xie, Min (2019) Stochastic filtering approach for condition-based maintenance considering sensor degradation. IEEE Transactions on Automation Science and Engineering. ISSN 1545-5955

2018

Cashmore, Michael and Fox, Maria and Long, Derek and Magazzeni, Daniele and Ridder, Bram (2018) Opportunistic planning in autonomous underwater missions. IEEE Transactions on Automation Science and Engineering, 15 (2). pp. 519-530. ISSN 1545-5955

MacLeod, Charles Norman and Dobie, Gordon and Pierce, Stephen Gareth and Summan, Rahul and Morozov, Maxim (2018) Machining-based coverage path planning for automated structural inspection. IEEE Transactions on Automation Science and Engineering, 15 (1). pp. 202-213. ISSN 1545-5955

2008

Medellin, H. and Corney, J.R. and Davies, J.B.C. and Lim, T. and Ritchie, J.M. (2008) Octree-based production of near net shape components. IEEE Transactions on Automation Science and Engineering, 5 (3). pp. 457-466. ISSN 1545-5955

This list was generated on Thu Jul 9 03:44:04 2020 BST.