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...

Strathprints

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2018 | 2017
Number of items: 3.

2020

Masood, Fawad and Boulila, Wadii and Ahmad, Jawad and Arshad, Arshad and Sankar, Syam and Rubaiee, Saeed and Buchanan, William J. (2020) A novel privacy approach of digital aerial images based on Mersenne Twister method with DNA genetic encoding and chaos. Remote Sensing, 12 (11). 1893. ISSN 2072-4292

2018

Arshad, and Mughal, Muhammad Ali and Nekahi, Azam and Khan, Mansoor and Umer, Farhana (2018) Influence of single and multiple dry bands on critical flashover voltage of silicone rubber outdoor insulators : simulation and experimental study. Energies, 11 (6). 1335. ISSN 1996-1073

2017

Arshad, and Nekahi, A. and McMeekin, S. G. and Farzaneh, M. (2017) Effect of pollution severity and dry band location on the flashover characteristics of silicone rubber surfaces. Electrical Engineering, 99 (3). pp. 1053-1063. ISSN 0948-7921

This list was generated on Wed Jul 15 19:43:58 2020 BST.