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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 | 2016 | 2014
Number of items: 4.

2019

Liu, Lei and Xu, Zongwei and Hartmaier, Alexander and Luo, Xichun and Zhang, Junjie and Nordlund, Kai and Rommel, Mathias (2019) MD simulation of stress-assisted nanometric cutting mechanism of 3C silicon carbide. Industrial Lubrication and Tribology, 71 (5). pp. 686-691. ISSN 0036-8792

2016

Palazzetti, Roberto and Yan, Xiu (2016) Study on lubrication effect on motorbike chain transmissions. Industrial Lubrication and Tribology, 68 (5). ISSN 0036-8792

2014

Zhang, Guoyuan and Zhao, Weigang and Yan, Xiu (2014) Experimental study on the water lubrication of non-contacting face seals for turbopumps. Industrial Lubrication and Tribology, 66 (2). pp. 314-321. ISSN 0036-8792

Zhang, Guoyuan and Yan, Xiu (2014) Analysis of two phase flow in liquid oxygen hybrid journal bearings for rocket engine turbopumps. Industrial Lubrication and Tribology, 66 (1). pp. 31-37. ISSN 0036-8792

This list was generated on Mon Aug 10 20:21:24 2020 BST.