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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: 4.

He, Yuhai and Zhou, Peilin and Xie, Liangtao and Zhang, Jiyun (2019) New concept and design of electronically controlled cylinder lubrication system for large two-stroke marine diesel engines. International Journal of Engine Research, 20 (8-9). pp. 967-985. ISSN 1468-0874

He, Yuhai and Zhou, Peilin and Xie, Liangtao and Zhang, Jiyun (2019) Design and experimental development of a new electronically controlled cylinder lubrication system for the large two-stroke crosshead diesel engines. International Journal of Engine Research, 20 (8-9). pp. 986-1000. ISSN 1468-0874

Hu, Nao and Yang, Jianguo and Zhou, Peilin (2017) Optimisation of injection-related parameters by using the NLPQL algorithm for a marine medium-speed diesel engine. International Journal of Engine Research. pp. 1-14. ISSN 1468-0874

Zhou, P. and Zhou, S. and Clelland, D. (2006) A modified quasi-dimensional multi-zone combustion model for direct injection diesels. International Journal of Engine Research, 7 (4). pp. 335-345. ISSN 1468-0874

This list was generated on Thu Aug 6 11:25:27 2020 BST.