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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: 2011 | 2009 | 2007 | 2005
Number of items: 4.

2011

Burns, Iain S. and Mercier, Xavier and Wartel, Maxime and Chrystie, Robin S.M. and Hult, J. and Kaminski, C.F. (2011) A method for performing high accuracy temperature measurements in low-pressure sooting flames using two-line atomic fluorescence. Proceedings of the Combustion Institute, 33 (1). pp. 799-806. ISSN 1540-7489

2009

Pironi, Paolo and Switzer, Christine and Rein, Guillermo and Fuentes, Andres and Gerhard, Jason I. and Torero, Jose L. (2009) Small-scale forward smouldering experiments for remediation of coal tar in inert media. Proceedings of the Combustion Institute, 32 (2). pp. 1957-1964. ISSN 1540-7489

2007

Burns, I.S. and Hult, J. and Hartung, G. and Kaminski, C.F. (2007) A thermometry technique based on atomic lineshapes using diode laser LIF in flames. Proceedings of the Combustion Institute, 31 (1). pp. 775-782. ISSN 1540-7489

2005

Hult, J. and Burns, I.S. and Kaminski, C.F. (2005) Two-line atomic fluorescence flame thermometry using diode lasers. Proceedings of the Combustion Institute, 30 (1). pp. 1535-1543. ISSN 1540-7489

This list was generated on Tue Aug 11 08:47:17 2020 BST.