Picture of cyber-style head against binary code

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...

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Number of items: 2.

Johnston, W.T. and Gettinby, G. and Cox, D.R. and Donnelly, C.A. and Bourne, J. and Clifton-Hadley, R. and Le Fevre, A.M. and McInerney, J.P. and Mitchell, A. and Morrison, W.I. and Woodroffe, R. (2005) Herd-level risk factors associated with tuberculosis breakdowns among cattle heards in England before the 2001 foot-and-mouth disease epidemic. Biology Letters, 1 (1). pp. 53-56. ISSN 1744-9561

Champion, J.K. and Taylor, A. and Hutchinson, S. and Cameron, S. and McMenamin, J. and Mitchell, A. and Goldberg, D.J. (2004) Incidence of hepatitis C virus infection and associated risk factors among Scottish prison inmates: a cohort study. American Journal of Epidemiology, 159 (5). pp. 514-519. ISSN 0002-9262

This list was generated on Thu Aug 6 09:56:53 2020 BST.