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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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Jump to: 2019 | 2013 | 2003
Number of items: 4.

2019

Sminia, Harry and Ates, Aylin and Paton, Steve and Smith, Marisa (2019) High value manufacturing : capability, appropriation, and governance. European Management Journal, 37 (4). pp. 516-528. ISSN 0263-2373

2013

McGuinness, Martina and Demirbag, Mehmet and Bandara, Sasanka (2013) Towards a multi-perspective model of reverse knowledge transfer in multinational enterprises : a case study of Coats plc. European Management Journal, 31 (2). pp. 179-195. ISSN 0263-2373

2003

Angehrn, Albert and Gibbert, Michael and Nicolopoulou, Katerina (2003) Guest editors’ introduction : understanding learning networks. Part 1. European Management Journal, 21 (5). 559–562. ISSN 0263-2373

Gennard, J. and Soltani, E. and Van Der Meer, R.B. and Williams, T.M. (2003) A TQM approach to HR performance evaluation. European Management Journal, 21 (3). pp. 323-337. ISSN 0263-2373

This list was generated on Fri Aug 7 14:51:32 2020 BST.