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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: 4.

2018

Greenhalgh, David and Liang, Yanfeng and Nazni, Wasi Ahmad and Teoh, Guat-ney and Lee, Han Lim and Massad, Eduardo (2018) Modelling the effect of a novel auto-dissemination trap on the spread of dengue in high-rise condominia, Malaysia. Journal of Biological Systems, 26 (4). pp. 553-578. ISSN 0218-3390

2006

Wood, J.C. and Speirs, D.C. and Naylor, S.W. and Gettinby, G. and McKendrick, I.J. (2006) A continuum model of the within-animal population dynamics of E-coli O157. Journal of Biological Systems, 14 (3). pp. 425-443. ISSN 0218-3390

2004

Andrews, J.M. and Blythe, S.P. and Gurney, W.S.C. (2004) Stability analysis of a continuous age-structured model with specific reference to North Sea cod. Journal of Biological Systems, 12 (3). pp. 249-260. ISSN 0218-3390

1995

Mulholland, A.J. and Gomatam, J. (1995) Pattern formation in excitable reaction-diffusion systems: the eikonal analysis on the torus. Journal of Biological Systems, 3 (4). pp. 1013-1019. ISSN 0218-3390

This list was generated on Sun Aug 9 04:15:23 2020 BST.