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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: 2006 | 2005 | 2004
Number of items: 4.

2006

Yao, L.N. and Wang, H. and Yue, H. and Zhou, J. (2006) Fault detection and diagnosis for stochastic distribution systems using a rational square-root approximation model. In: 45th IEEE Conference on Decision and Control, 2006-12-13 - 2006-12-15.

2005

Zhou, J. and Yue, H. and Wang, H. (2005) Mean and entropy of b-spline PDF models: analysis and design. In: 16th IFAC World Congress, 2005, 2005-07-04 - 2005-07-08.

Zhou, J. and Yue, H. and Wang, H. (2005) Shaping of output PDF based on the rational square-root b-spline model. Acta Automatica Sinica, 31 (3). pp. 343-351.

2004

Yao, L.N. and Wang, H. and Zhou, J. and Yue, H. (2004) Variable structure controller for an inverted pendulum. Control Theory and Applications, 21 (5). pp. 724-727.

This list was generated on Sat Aug 8 14:08:00 2020 BST.