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: 2017 | 2016 | 2014
Number of items: 6.

2017

Clemente, Carmine and Pallotta, Luca and Gaglione, Domenico and De Maio, Antonio and Soraghan, John J. (2017) Automatic recognition of military vehicles with Krawtchouk moments. IEEE Transactions on Aerospace and Electronic Systems, 53 (1). pp. 493-500. ISSN 0018-9251

De Maio, Antonio and Orlando, Danilo and Pallotta, Luca and Clemente, Carmine (2017) A multi-family GLRT-based algorithm for oil spill detection. IEEE Transactions on Geoscience and Remote Sensing, 55 (1). pp. 63-79. ISSN 0196-2892

2016

Pallotta, L. and Clemente, C. and De Maio, A. and Orlando, D.; (2016) A multi-family GLRT for detection in polarimetric SAR images. In: 2016 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 1-5. ISBN 9781509003266

2014

Gaglione, Domenico and Clemente, Carmine and Pallotta, Luca and Proudler, Ian and De Maio, Antonio and Soraghan, John J.; (2014) Krogager decomposition and Pseudo-Zernike moments for polarimetric distributed ATR. In: 2014 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 26-30. ISBN 978-1-4799-5294-6

Carotenuto, V. and De Maio, A. and Clemente, C. and Soraghan, J. J.; (2014) Multi-polarization SAR change detection with invariant decision rules. In: 2014 IEEE Radar Conference. IEEE, USA, 0859 - 0862. ISBN 978-1-4799-2034-1

Pallotta, Luca and Clemente, Carmine and De Maio, Antonio and Soraghan, John J. and Farina, Alfonso; (2014) Pseudo-Zernike moments based radar micro-Doppler classification. In: 2014 IEEE Radar Conference. IEEE, USA, pp. 850-854. ISBN 978-1-4799-2034-1

This list was generated on Wed Jul 15 17:16:25 2020 BST.