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: 2020 | 2019 | 2018
Number of items: 3.

2020

Alsolai, Hadeel and Roper, Marc (2020) A systematic literature review of machine learning techniques for software maintainability prediction. Information and Software Technology, 119. 106214. ISSN 0950-5849

2019

Alsolai, Hadeel and Roper, Marc; (2019) Application of ensemble techniques in predicting object-oriented software maintainability. In: Proceedings of EASE 2019 - Evaluation and Assessment in Software Engineering. ACM, DNK, pp. 370-373. ISBN 9781450371452

2018

Alsolai, Hadeel; (2018) Predicting software maintainability in object-oriented systems using ensemble techniques. In: 2018 IEEE International Conference on Software Maintenance and Evolution. IEEE, ESP, pp. 716-721. ISBN 9781538678701

This list was generated on Sat Jul 4 01:50:43 2020 BST.