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 Journal or other publication

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2011 | 1997
Number of items: 3.

2011

Serpetti, N. and Heath, Michael and Armstrong, F. and Witte, U. (2011) Blending single beam RoxAnn and multi-beam swathe QTC hydro-acoustic discrimination techniques for the Stonehaven area, Scotland, UK. Journal of Sea Research, 65 (4). pp. 442-455.

1997

Heath, M. and Robertson, W. and Mardaljevic, J. and Gurney, William (1997) Modelling the population dynamics of Calanus in the Fair Isle current off northern Scotland. Journal of Sea Research, 38 (3-4). pp. 381-412. ISSN 1385-1101

Bryant, A.D. and Heath, Michael and Gurney, William and Beare, D. and Robertson, W. (1997) The seasonal dynamics of Calanus finmarchicus : development of a three-dimensional structured population model and application to the northern North Sea. Journal of Sea Research, 38 (3-4). pp. 361-379.

This list was generated on Sat Aug 15 12:34:00 2020 BST.