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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2017
Number of items: 4.

2019

Young, Andrew and Berry, Craig and West, Graeme M. and McArthur, Stephen D.J. (2019) A generalized model for fuel channel bore estimation in AGR cores. Nuclear Engineering and Design. ISSN 0029-5493 (In Press)

2017

Berry, Craig and West, Graeme and McArthur, Stephen and Rudge, Anna; , American Nuclear Society, ed. (2017) Semi-supervised learning approach for crack detection and identification in advanced gas-cooled reactor graphite bricks. In: 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017. Curran Associates Inc, USA, pp. 77-86. ISBN 9781510851160

Berry, Craig and West, Graeme and McArthur, Stephen and Rudge, Anna (2017) Semi-supervised learning approach for crack detection and identification in advanced gas-cooled reactor graphite bricks. In: 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017, 2017-06-11 - 2017-06-15, Hyatt Regency. (In Press)

Berry, C. and Pattison, D. and West, G. M. and McArthur, S.D.J. and Rudge, A.; (2017) Estimating fuel channel bore from fuel grab load trace data. In: The 5th EDF Energy Nuclear Graphite Symposium. EMAS Publishing, GBR. (In Press)

This list was generated on Sat Aug 8 19:42:59 2020 BST.