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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.

Article

Tinsley, Lawrence and Chalk, Christine and Nicholls, John and Mehnen, Jörn and Roy, Rajkumar (2017) A study of pulsed thermography for life assessment of thin EB-PVD TBCs undergoing oxidation ageing. NDT and E International, 92. pp. 67-74. ISSN 0963-8695

Zhao, Yifan and Tinsley, Lawrence and Addepalli, Sri and Mehnen, Jörn and Roy, Rajkumar (2016) A coefficient clustering analysis for damage assessment of composites based on pulsed thermographic inspection. NDT and E International, 83. pp. 59-67. ISSN 0963-8695

Dobie, Gordon and Pierce, S. Gareth and Hayward, Gordon (2013) The feasibility of synthetic aperture guided wave imaging to a mobile sensor platform. NDT and E International, 58. pp. 10-17. ISSN 0963-8695

Dobie, Gordon and Summan, Rahul and MacLeod, Charles Norman and Pierce, Stephen (2013) Visual odometry and image mosaicing for NDE. NDT and E International, 57. pp. 17-25. ISSN 0963-8695 (In Press)

McNab, D. and McNab, A. and Robinson, R.J. and Toft, M. and McDonald, J.R. (2005) An intelligent approach to inspection qualification. NDT and E International, 38 (2). pp. 97-105. ISSN 0963-8695

Graham, D. and Maas, P. and Donaldson, G.B. and Carr, C. (2004) Impact damage detection in carbon fibre composites using HTS SQUIDs and neural networks. NDT and E International, 37 (7). pp. 565-570. ISSN 0963-8695

This list was generated on Sat Aug 8 16:18:52 2020 BST.