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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Number of items: 3.

2020

Ha, Viet Khanh and Ren, Jinchang and Xu, Xinying and Liao, Wenzhi and Zhao, Sophia and Ren, Jie and Yan, Gaowei (2020) Optimized highway deep learning network for fast single image super-resolution reconstruction. Journal of Real-Time Image Processing.

2019

Ha, Viet Khanh and Ren, Jin Chang and Xu, Xin Ying and Zhao, Sophia and Xie, Gang and Masero, Valentin and Hussain, Amir (2019) Deep learning based single image super-resolution : a survey. International Journal of Automation and Computing, 16 (4). pp. 413-426. ISSN 1476-8186

2018

Ha, Viet Khanh and Ren, Jinchang and Xu, Xinying and Zhao, Sophia and Xie, Gang and Vargas, Valentin Masero; Hussain, Amir and Luo, Bin and Zheng, Jiangbin and Zhao, Xinbo and Liu, Cheng-Lin and Ren, Jinchang and Zhao, Huimin, eds. (2018) Deep learning based single image super-resolution : a survey. In: International Conference on Brain Inspired Cognitive Systems - BICS 2018. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer-Verlag, CHN, pp. 106-119. ISBN 978-3-030-00563-4

This list was generated on Tue Jul 7 11:22:06 2020 BST.