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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Number of items: 20.

2020

Pavlovic, Dejan and Tachtatzis, Christos and Hamilton, Andrew and Marko, Oskar and Atkinson, Robert and Davison, Christopher and Michie, Craig and Crnojevic, Vladimir and Andonovic, Ivan (2020) Classification of cattle behaviour using convolutional neural networks. In: European Federation of Animal Science (EAAP) Annual Meeting, 2020-12-01 - 2020-12-04, Online (due to Covid-19 pandemic). (In Press)

Davison, Christopher and Michie, Craig and Hamilton, Andrew and Tachtatzis, Christos and Andonovic, Ivan and Gilroy, Michael (2020) Detecting heat stress in dairy cattle using neck-mounted activity collars. Agriculture, 10 (6). pp. 1-11. 210. ISSN 2077-0472

Francesio, Andrea and Viora, Lorenzo and Denwood, Matt J. and Tulley, Will and Brady, Nicola and Hastie, Peter and Hamilton, Andrew and Davison, Christopher and Michie, Craig and Jonsson, Nicholas N. (2020) Contrasting effects of high-starch and high-sugar diets on ruminal function in cattle. Journal of Dairy Research, 87 (2). pp. 175-183. ISSN 0022-0299

Stamoulakatos, Anastasios and Cardona, Javier and McCaig, Chris and Murray, David and Filius, Hein and Atkinson, Robert and Bellekens, Xavier and Michie, Craig and Andonovic, Ivan and Lazaridis, Pavlos and Hamilton, Andrew and Hossain, Md. Moinul and Di Caterina, Gaetano and Tachtatzis, Christos (2020) Automatic annotation of subsea pipelines using deep learning. Sensors, 20 (3). 674. ISSN 1424-8220

2019

Gillespie, David I. and Hamilton, Andrew W. and Kruckenberg, Teresa and Neilson, Brian and Atkinson, Robert C. and Andonovic, Ivan and Tachtatzis, Christos (2019) Geometrical thermal analysis as a form of Finite Element Analysis enhancement. In: 17th International Conference on Manufacturing Research ICMR2019, 2019-09-10 - 2019-09-12, Queens University.

Jones, Catherine E. and Hamilton, Andrew W. and Norman, Patrick J. and Cleary, Alison and Galloway, Stuart J. and Atkinson, Robert and Burt, Graeme M. and Michie, Craig and Andonovic, Ivan and Tachtatzis, Christos (2019) A novel methodology for macroscale, thermal characterization of carbon fiber-reinforced polymer for integrated aircraft electrical power systems. IEEE Transactions on Transportation Electrification, 5 (2). pp. 479-489. ISSN 2332-7782

Hamilton, Andrew W. and Davison, Chris and Tachtatzis, Christos and Andonovic, Ivan and Michie, Craig and Ferguson, Holly J. and Somerville, Laura and Jonsson, Nicholas N. (2019) Identification of the rumination in cattle using support vector machines with motion-sensitive bolus sensors. Sensors, 19 (5). 1165. ISSN 1424-8220

2018

Cardona, Javier and Ferreira, Carla and McGinty, John and Hamilton, Andrew and Agimelen, Okpeafoh S. and Cleary, Alison and Atkinson, Robert and Michie, Craig and Marshall, Stephen and Chen, Yi-Chieh and Sefcik, Jan and Andonovic, Ivan and Tachtatzis, Christos (2018) Image analysis framework with focus evaluation for in situ characterisation of particle size and shape attributes. Chemical Engineering Science, 191. pp. 208-231. ISSN 0009-2509

Cardona, Javier and Ferreira, Carla and Svoboda, Vaclav and Ahmed, Bilal and McGinty, John and Agimelen, Okpeafoh S. and Hamilton, Andrew and Cleary, Alison and Atkinson, Robert and Michie, Craig and Marshall, Stephen and Florence, Alastair J. and Chen, Yi-Chieh and Sefcik, Jan and Andonovic, Ivan and Tachtatzis, Christos; Thorvald, Peter and Case, Keith, eds. (2018) The role of in-line image analysis in the transition to continuous manufacturing in the pharmaceutical industry. In: Advances in manufacturing technology XXXII. IOS Press, SWE, pp. 27-32. ISBN 978-1-61499-901-0

2017

Hodo, Elike and Bellekens, Xavier and Iorkyase, Ephraim and Hamilton, Andrew and Tachtatzis, Christos and Atkinson, Robert (2017) Machine learning approach for detection of non-Tor Traffic. Journal of Cyber Security and Mobility, 6 (2). pp. 171-194. 4. ISSN 2245-4578

Cardona, J. and Ferreira, C. and McGinty, J. and Hamilton, A. and Agimelen, O.S. and Cleary, A. and Chen, Y.C. and Sefcik, J. and Michie, C. and Atkinson, R. and Andonovic, I. and Tachtatzis, C. (2017) In-line monitoring of particle size and shape from image-based measurements. In: ISIC20, 2017-09-03 - 2017-09-06, University College Dublin.

Hodo, Elike and Bellekens, Xavier and Iorkyase, Ephraim and Hamilton, Andrew and Tachtatzis, Christos and Atkinson, Robert; (2017) Machine learning approach for detection of nonTor traffic. In: ARES '17 Proceedings of the 12th International Conference on Availability, Reliability and Security. ACM, New York. ISBN 9781450352574

Cardona, Javier and Ferreira, Carla Sofia and McGinty, John and Hamilton, Andrew and Agimelen, Okpeafoh and Cleary, Alison and Chen, Yi-Chieh and Sefcik, Jan and Michie, Walter and Atkinson, Robert and Andonovic, Ivan and Tachtatzis, Christos (2017) Enabling digitisation of continuous manufacturing processes : the role of image analysis. In: Network Plus: Industrial Systems in the Digital Age Conference 2017, 2017-06-20 - 2017-06-21, James Watt Building South, University of Glasgow. (In Press)

Hodo, Elike and Bellekens, Xavier and Hamilton, Andrew and Tachtatzis, Christos and Atkinson, Robert (2017) Shallow and deep networks intrusion detection system : a taxonomy and survey. Working paper. arXiv.org, Ithaca, N.Y..

2016

Hodo, Elike Komi and Bellekens, Xavier and Hamilton, Andrew and Dubouilh, Pierre-Louis and Iorkyase, Ephraim Tersoo and Tachtatzis, Christos and Atkinson, Robert (2016) Threat analysis of IoT networks using artificial neural network intrusion detection system. In: International Symposium on Networks, Computers and Communications, 2016-05-11 - 2016-05-13, Tunisia.

2014

Parker, M.A. and Cleary, A. and Hamilton, A.W. (2014) Practical online condition monitoring of gearbox oil using non-dispersive infra-red sensors. In: IET Renewable Power Generation Conference (RPG 2014), 2014-09-24 - 2014-09-25.

Hamilton, Andrew Wallace and Cleary, Alison and Quail, Francis (2014) Development of a novel wear detection system for wind turbine gearboxes. IEEE Sensors Journal, 14 (2). 465 - 473. ISSN 1530-437X

2013

Quail, Francis and Hamilton, Andrew Wallace (2013) Development of a low-cost lubrication monitoring sensor for wind turbine gearboxes. In: EWEA Annual Wind Energy Event 2013, 2013-02-04 - 2013-02-07. (In Press)

2011

Hamilton, Andrew and Quail, Francis (2011) Detailed state of the art review for the different online inline oil analysis techniques in context of wind turbine gearboxes. Journal of Tribology, 133 (4). 044001. ISSN 0742-4787

2010

Quail, Francis and Hamilton, Andrew Wallace (2010) Wind turbine gearbox condition monitoring. In: STLE/ASME International Joint Tribology Conference, 2010-10-18 - 2010-10-20.

This list was generated on Sat Jul 11 20:09:26 2020 BST.