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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: 2012 | 2011
Number of items: 4.

2012

Li, Xinyao and Dysko, Adam and Burt, Graeme; (2012) Enhanced protection for inverter dominated microgrid using transient fault information. In: 11th international conference on developments in power systems protection, 2012. DPSP 2012. IEEE, GBR. ISBN 9781849196208

2011

Abdulhadi, Ibrahim Faiek and Li, Xinyao and Coffele, Federico and Crolla, Paul and Dysko, Adam and Booth, Campbell and Burt, Graeme and Schafer, Nils (2011) International White Book on DER Protection : Review and Testing Procedures. DERlab e.V. – European Distributed Energy Resources Laboratories. ISBN 978-3-943517-02-6

Loddick, S. and Mupambireyi, U. and Blair, S. and Booth, C. and Li, X. and Roscoe, Andrew J. and Daffey, K. and Rn, L.J.W.; (2011) The use of real time digital simulation and hardware in the loop to de-risk novel control algorithms. In: Power electronics and applications (EPE 2011). IEEE, GBR, pp. 1-10. ISBN 9781612841670

Loddick, S. and Mupambireyi, U. and Blair, S. and Booth, C. and Li, X. and Roscoe, A. and Daffey, K. and Watson, J.; (2011) The use of real time digital simulation and hardware in the loop to de-risk novel control algorithms. In: Proceedings of the 2011 IEEE Electric Ship Technologies Symposium (ESTS). IEEE, GBR, pp. 213-218. ISBN 9781424492725

This list was generated on Tue Aug 11 08:40:35 2020 BST.