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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.

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Strathprints

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Jump to: 2017 | 2016 | 2013 | 2005 | 2004

Number of items: 6.

2017

Tinsley, Lawrence and Chalk, Christine and Nicholls, John and Mehnen, Jörn and Roy, Rajkumar (2017) A study of pulsed thermography for life assessment of thin EB-PVD TBCs undergoing oxidation ageing. NDT and E International, 92. pp. 67-74. ISSN 0963-8695

2016

Zhao, Yifan and Tinsley, Lawrence and Addepalli, Sri and Mehnen, Jörn and Roy, Rajkumar (2016) A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection. NDT and E International, 83. pp. 59-67. ISSN 0963-8695

2013

Dobie, Gordon and Pierce, S. Gareth and Hayward, Gordon (2013) The feasibility of synthetic aperture guided wave imaging to a mobile sensor platform. NDT and E International, 58. pp. 10-17. ISSN 0963-8695

Dobie, Gordon and Summan, Rahul and MacLeod, Charles Norman and Pierce, Stephen (2013) Visual odometry and image mosaicing for NDE. NDT and E International, 57. pp. 17-25. ISSN 0963-8695 (In Press)

2005

McNab, D. and McNab, A. and Robinson, R.J. and Toft, M. and McDonald, J.R. (2005) An intelligent approach to inspection qualification. NDT and E International, 38 (2). pp. 97-105. ISSN 0963-8695

2004

Graham, D. and Maas, P. and Donaldson, G.B. and Carr, C. (2004) Impact damage detection in carbon fibre composites using HTS SQUIDs and neural networks. NDT and E International, 37 (7). pp. 565-570. ISSN 0963-8695

This list was generated on Wed Jul 15 17:08:01 2020 BST.