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 | 2017 | 2016 | 2015 | 2014 | 2008
Number of items: 9.

2020

Fang, Zhenyu and Ren, Jinchang and Marshall, Stephen and Zhao, Huimin and Wang, Zheng and Huang, Kaizhu and Xiao, Bing (2020) Triple loss for hard face detection. Neurocomputing, 398. pp. 20-30. ISSN 0925-2312

Fei, Zixiang and Yang, Erfu and Li, David Day Uei and Butler, Stephen and Ijomah, Winifred and Li, Xia and Zhou, Huiyu (2020) Deep convolution network based emotion analysis towards mental health care. Neurocomputing, 388. pp. 212-227. ISSN 0925-2312

2019

Hou, Jie and Huang, Yanli and Yang, Erfu (2019) ψ-type stability of reaction–diffusion neural networks with time-varying discrete delays and bounded distributed delays. Neurocomputing, 340. pp. 281-293. ISSN 0925-2312

2018

Wang, Zheng and Ren, Jinchang and Zhang, Dong and Sun, Meijun and Jiang, Jianmin (2018) A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos. Neurocomputing. ISSN 0925-2312

2017

Gao, Fei and You, Jialing and Wang, Jun and Sun, Jinping and Yang, Erfu and Zhou, Huiyu (2017) A novel target detection method for SAR images based on shadow proposal and saliency analysis. Neurocomputing, 267. pp. 220-231. ISSN 0925-2312

2016

Zabalza, Jaime and Ren, Jinchang and Zheng, Jiangbin and Zhao, Huimin and Qing, Chunmei and Yang, Zhijing and Du, Peijun and Marshall, Stephen (2016) Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging. Neurocomputing, 185. pp. 1-10. ISSN 0925-2312

2015

Sun, Meijun and Zhang, Dong and Wang, Zheng and Ren, Jinchang and Jin, Jesse S. (2015) Monte Carlo convex hull model for classification of traditional Chinese paintings. Neurocomputing. ISSN 0925-2312

2014

Tang, Dawei and Wong, T. C. and Chin, K. S. and Kwong, C. K. (2014) Evaluation of user satisfaction using evidential reasoning-based methodology. Neurocomputing, 142. pp. 86-94. ISSN 0925-2312

2008

Hussain, A. and Fiori, S. and Qureshi, I. and Durrani, T.S. and Ahmed, M.M. and Fukushima, K. (2008) Engineering of intelligent systems (editorial). Neurocomputing, 71 (13-15). pp. 2616-2618. ISSN 0925-2312

This list was generated on Thu Jul 2 20:55:37 2020 BST.