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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.

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 | 2019 | 2018 | 2017 | 2015

Number of items: 7.

2020

Li, Jingsi and Ferguson, Neil (2020) A multi-dimensional rescheduling model in disrupted transport network using rule-based decision making. Procedia Computer Science, 170. pp. 90-97. ISSN 1877-0509

2019

Basu, Amlan and Petropoulakis, Lykourgos and Di Caterina, Gaetano and Soraghan, John (2019) Indoor home scene recognition using capsule neural networks. Procedia Computer Science. ISSN 1877-0509 (In Press)

de Castro, Pablo and Dvořák, Jan and Simons, Ed (2019) OpenAIRE compatibility for CRIS systems : recent progress. Procedia Computer Science, 146. pp. 182-189. ISSN 1877-0509

Sicilia, Miguel Angel and Simons, Ed and Clements, Anna and Castro, Pablo de and Bergström, Johan (2019) FAIRness of research information. Procedia Computer Science, 146. pp. 1-2. ISSN 1877-0509

2018

Cipollini, Francesca and Oneto, Luca and Coraddu, Andrea and Savio, Stefano and Anguita, Davide (2018) Unintrusive monitoring of induction motors bearings via deep learning on stator currents. Procedia Computer Science, 144. pp. 42-51. ISSN 1877-0509

2017

de Castro, Pablo and Schirrwagen, Jochen and Karaiskos, Dimitris and Dvořák, Jan and Bollini, Andrea and Bonis, Vasilis and Gasparis, Nikon and Tsoukala, Victoria and Manghi, Paolo and Principe, Pedro (2017) Progress in the implementation of the OpenAIRE guidelines for CRIS managers. Procedia Computer Science, 106. pp. 104-111. ISSN 1877-0509

2015

Mohd Warip, M. N. and Andonovic, I. and Glesk, I. and Badlishah Ahmad, R. and Ehkan, P. and Kamarudin, L. M. and Elshaikh, M. (2015) Energy efficient partition-lightpath scheme for IP over WDM core networks. Procedia Computer Science, 52. pp. 515-522. ISSN 1877-0509

This list was generated on Sat Jul 11 16:44:17 2020 BST.