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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Stefanovic, Cedomir and Vukobratovic, Dejan and Stankovic, Vladimir and Fantacci, Romano (2013) Packet-centric approach to distributed sparse-graph coding in wireless ad-hoc networks. Ad Hoc Networks, 11 (1). pp. 167-181. ISSN 1570-8705
Deng, J. and Zuyev, S. (2008) On search sets of expanding ring search in wireless networks. Ad Hoc Networks, 6 (7). pp. 1168-1181. ISSN 1570-8705