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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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018
Number of items: 6.

2019

Mishra, Puneet and Feller, Torsten and Schmuck, Martin and Nicol, Andreas and Nordon, Alison; (2019) Early detection of drought stress in Arabidopsis thaliana utilsing a portable hyperspectral imaging setup. In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing. IEEE, Piscataway. ISBN 9781728152943

Mishra, Puneet and Schmuck, Martin and Roth, Sina and Nicol, Andreas and Nordon, Alison; (2019) Homogenising and segmenting hyperspectral images of plants and testing chemicals in a high-throughput plant phenotyping setup. In: 2019 10th Workshop on Hyperspectral Imaging and Signal Processing. IEEE, Piscataway. ISBN 9781728152943

Mishra, Puneet and Nordon, Alison (2019) Classifying green teas with near infrared hyperspectral imaging. NIR News. ISSN 0960-3360

Mishra, Puneet and Nordon, Alison and Mohd Asaari, Mohd Shahrimie and Lian, Guoping and Redfern, Sally (2019) Fusing spectral and textural information in near-infrared hyperspectral imaging to improve green tea classification modelling. Journal of Food Engineering, 249. pp. 40-47. ISSN 0260-8774

Mishra, Puneet and Karami, Azam and Nordon, Alison and Rutledge, Douglas N. and Roger, Jean-Michel (2019) Automatic de-noising of close-range hyperspectral images with a wavelength-specific shearlet-based image noise reduction method. Sensors and Actuators B: Chemical, 281. pp. 1034-1044. ISSN 0925-4005

2018

Mishra, Puneet and Nordon, Alison and Tschannerl, Julius and Lian, Guoping and Redfern, Sally and Marshall, Stephen (2018) Near-infrared hyperspectral imaging for non-destructive classification of commercial tea products. Journal of Food Engineering, 238. pp. 70-77. ISSN 0260-8774

This list was generated on Fri Jul 10 15:53:55 2020 BST.