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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: 2011
Number of items: 3.

2011

Chen, Zeng-Ping and Zhong, Li-Jing and Nordon, Alison and Littlejohn, David and Holden, Megan and Fazenda, Mariana and Harvey, Linda and McNeil, Brian and Faulkner, Jim and Morris, Julian (2011) Calibration of multiplexed fiber-optic spectroscopy. Analytical Chemistry, 83 (7). pp. 2655-2659. ISSN 0003-2700

Du, Wen and Chen, Zeng-Ping and Zhong, Li-Jing and Wang, Shu-Xia and Yu, Ru-Qin and Nordon, Alison and Littlejohn, David and Holden, Megan (2011) Maintaining the predictive abilities of multivariate calibration models by spectral space transformation. Analytica Chimica Acta, 690 (1). pp. 64-70. ISSN 0003-2670

Chen, Zeng-Ping and Li, Li-Mei and Yu, Ru-Qin and Littlejohn, David and Nordon, Alison and Morris, Julian and Dann, Alison S. and Jeffkins, Paul A. and Richardson, Mark D. and Stimpson, Sarah L. (2011) Systematic prediction error correction: a novel strategy for maintaining the predictive abilities of multivariate calibration models. Analyst, 136 (1). pp. 98-106. ISSN 0003-2654

This list was generated on Tue Aug 11 11:47:37 2020 BST.