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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: 6.

2016

Bonachela, Juan A. and Klausmeier, Christopher A. and Edwards, Kyle and Litchman, Elena and Levin, Simon A. (2016) The role of phytoplankton diversity in the emergent oceanic stoichiometry. Journal of Plankton Research, 38 (4). pp. 1021-1035. ISSN 0142-7873

2013

Wilson, Robert and Speirs, Douglas and Heath, Michael (2013) Solid evidence or fluid ideas on the importance of phase transitions to diapausing copepods. Journal of Plankton Research, 35 (2). pp. 438-440. ISSN 0142-7873

2007

Cook, Katherine and Bunker, Adrian and Hay, Stephen and Hirst, Andrew and Speirs, Douglas (2007) Naupliar development times and survival of the copepods Calanus helgolandicus and Calanus finmarchicus in relation to food and temperature. Journal of Plankton Research, 29 (9). pp. 757-767. ISSN 0142-7873

2002

McKee, David and Cunningham, Alex and Jones, K. (2002) Optical and hydrographic consequences of freshwater runoff during spring phytoplankton growth in a Scottish fjord. Journal of Plankton Research, 24 (11). pp. 1163-1171. ISSN 0142-7873

Neumüller, M. and Cunningham, A. and McKee, D.J.C. (2002) Assessment of a microscopic photobleaching technique for measuring the spectral absorption efficiency of individual phytoplankton cells. Journal of Plankton Research, 24 (8). pp. 741-746. ISSN 0142-7873

1999

Davidson, K. and Gurney, William (1999) An investigation of non-steady state algal growth. II. Mathematical modelling of co-nutrient limited algal growth. Journal of Plankton Research, 21 (5). pp. 839-858. ISSN 0142-7873

This list was generated on Sun Aug 9 03:29:30 2020 BST.