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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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Article

Zhang, Mimi and Bedford, Tim (2018) Vine copula approximation : a generic method for coping with conditional dependence. Statistics and Computing, 28 (1). 219–237. ISSN 0960-3174

Zhang, Mimi and Revie, Matthew (2017) Continuous-observation partially observable semi-Markov decision processes for machine maintenance. IEEE Transactions on Reliability, 66 (1). pp. 202-218. ISSN 0018-9529

Book Section

Zhang, Mimi and Revie, Matthew; Walls, Lesley and Revie, Matthew and Bedford, Time, eds. (2016) Model selection with application to gamma process and inverse Gaussian process. In: Risk, Reliability and Safety. CRC/Taylor & Francis Group, London, UK. ISBN 9781138029972

This list was generated on Tue Aug 4 16:44:28 2020 BST.