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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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Number of items: 7.

Article

Pattison, D. and Segovia Garcia, M. and Xie, W. and Quail, F. and Revie, M. and Whitfield, I. and Irvine, I. (2016) Intelligent integrated maintenance for wind power generation. Wind Energy. ISSN 1095-4244

Book Section

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)

Lian, Yiqing and Pattison, David and Kenyon, Andrew and Segovia Garcia, Maria Del Carmen and Quail, Francis; (2013) Wind turbine gearbox ice sensing and condition monitoring for fault prognosis and diagnosis. In: Proceedings of COMADEM 2013, International Congress of Condition Monitoring and Diagnostics Engineering Management. COMADEM International.

Pattison, David and Xie, Wenbin and Quail, Francis; Borrajo, Daniel and Kambhampati, Subbarao and Oddi, Angelo and Fratini, Simone, eds. (2013) The WINDY domain – a challenging real-world application of integrated planning and scheduling. In: Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling. Association for the Advancement of Artificial Intelligence (AAAI). ISBN 9781577356097

Pattison, David and Long, Derek; Pattison, David and Long, Derek and Geib, Christopher, eds. (2011) Accurately determining intermediate and terminal plan states using bayesian goal recognition. In: GAPRec 2011. Proceedings of the First Workshop on Goal, Activity and Plan Recognition. ICAPS, pp. 32-37.

Pattison, D. and Long, D.; Fratini, Simone and Gerevini, Alfonso and Long, Derek and Saetti, Alessandro, eds. (2010) Extracting plans from plans. In: Proceedings of the 28th Workshop of the UK Special Interest Group on Planning and Scheduling. UNSPECIFIED, 149 - 156.

Pattison, D. and Long, D.; Agnotes, T., ed. (2010) Domain independent goal recognition. In: STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium. IOS Press, 238 - 250.

This list was generated on Fri Aug 14 08:18:27 2020 BST.