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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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Jump to: 2018 | 2016 | 2013 | 2012 | 2011 | 2009
Number of items: 7.

2018

Quigley, John and Walls, Lesley and Demirel, G├╝ven and McCarthy, Bart and Parsa, Mahdi (2018) Supplier quality improvement : the value of information under uncertainty. European Journal of Operational Research, 264 (3). pp. 932-947. ISSN 0377-2217

2016

Walls, L. and Quigley, J. and Parsa, M. and Comrie, E.; Walls, Lesley and Revie, Matthew and Bedford, Tim, eds. (2016) Risk analysis of supply : comparative performance and short-term prediction. In: Risk, Reliability and Safety. CRC/Taylor & Francis Group, GBR. ISBN 9781315374987

2013

Estivill-Castro, V. and Parsa, M.; Thomas, Bruce, ed. (2013) On connected two communities. In: ACSC '13 Proceedings of the Thirty-Sixth Australasian Computer Science Conference - Volume 135. Conferences in Research and Practice in Information Technology, 135 . Australian Computer Society Inc., Adelaide, Australia, pp. 23-30. ISBN 978-1-921770-20-3

2012

Estivill-Castro, V. and Parsa, M.; Reynolds, M. and Thomas, B, eds. (2012) On the parameterized complexity of dominant strategies. In: Proceedings of Computer Science 2012 (ACSC 2012). Conferences in Research and Practice in Information Technology, 122 . Australian Computer Society Inc., Melbourne, Australia, pp. 21-26. ISBN 978-1-921770-03-6

2011

Parsa, Mahdi (2011) Parameterized Complexity Applied in Algorithmic Game Theory. PhD thesis, UNSPECIFIED.

Estivill-Castro, V. and Parsa, M.; Iliopoulos, Costas S. and Smyth, William F., eds. (2011) Single parameter FPT-algorithms for non-trivial games. In: Combinatorial Algorithms. Lecture Notes in Computer Science . Springer, GBR, pp. 121-124. ISBN 9783642192210

2009

Estivill-Castro, Vladimir and Parsa, Mahdi; Downey, Rod and Manyem, Prabhu, eds. (2009) Computing nash equilibria gets harder : new results show hardness even for parameterized complexity. In: Proceedings of the 15th Computing Australasian Theory Symposium (CATS 2009). CRPIT, 94 . ACS, NZL, pp. 81-87. ISBN 978-1-920682-75-0

This list was generated on Fri Aug 7 15:02:34 2020 BST.