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.

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Group by: Publication Date | Item type | No Grouping
Jump to: 2020 | 2019 | 2018 | 2016 | 2015 | 2014
Number of items: 9.

2020

Zhao, Bochao and Ye, Minxiang and Stankovic, Lina and Stankovic, Vladimir (2020) Non-intrusive load disaggregation solutions for very low-rate smart meter data. Applied Energy, 268. 114949. ISSN 0306-2619

2019

He, Kanghang and Jakovetic, Dusan and Zhao, Bochao and Stankovic, Vladimir and Stankovic, Lina and Cheng, Samuel (2019) A generic optimisation-based approach for improving non-intrusive load monitoring. IEEE Transactions on Smart Grid, 10 (6). pp. 6472-6480. ISSN 1949-3053

2018

Zhao, Bochao and He, Kanghang and Stankovic, Lina and Stankovic, Vladimir (2018) Improving event-based non-intrusive load monitoring using graph signal processing. IEEE Access. pp. 1-15. ISSN 2169-3536

Attar, Hani and Alhihi, Mohamad and Zhao, Bochao and Stankovic, Lina (2018) Network coding hard and soft decision behavior over the physical layer using PUMTC. In: 4th IEEE International Conference on Advances in Computing and Communication Engineering, 2018-06-22 - 2018-06-23.

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir (2018) Electricity usage profile disaggregation of hourly smart meter data. In: 4th International Workshop on Non-Intrusive Load Monitoring, 2018-03-07 - 2018-03-08.

2016

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir (2016) On a training-less solution for non-intrusive appliance load monitoring using graph signal processing. IEEE Access, 4. pp. 1784-1799.

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir; (2016) Blind non-intrusive appliance load monitoring using graph-based signal processing. In: 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., USA, pp. 68-72. ISBN 9781479975914

2015

Zhao, Bochao and Stankovic, Lina and Stankovic, Vladimir (2015) Blind non-intrusive appliance load monitoring using graph-based signal processing. In: GLOBALSIP-2015, 2015-12-14 - 2015-12-16, FL.

2014

Murray, D. and Zhao, B. and Elafoudi, G. and Liao, J. and Stankovic, L. and Stankovic, V. (2014) Combined network coding and paillier homomorphic encryption for ensuring consumer data privacy in smart grid networks. In: Algebra, Codes and Networks 2014, 2014-06-16 - 2014-06-20.

This list was generated on Sat Jul 11 19:48:58 2020 BST.