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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: 3.

2019

Addison, Ruth and Hill, Lauren and Bode, Lars and Robertson, Bianca and Choudhury, Biswa and Young, David and Wright, Charlotte and Relton, Clare and Garcia, Ada L and Tappin, David M (2019) Development of a biochemical marker to detect current breast milk intake. Maternal and Child Nutrition. e12859. ISSN 1740-8695

2016

Martin, Anne and Connelly, Andrew and Bland, Ruth M and Reilly, John (2016) Health impact of catch-up growth in low-birth weight infants : systematic review, evidence appraisal, and meta-anaylsis. Maternal and Child Nutrition. ISSN 1740-8709

2013

Macleod, Maureen and Craigie, Angela M. and Barton, Karen L. and Treweek, Shaun and Anderson, Annie S. and Kirk, Alison (2013) Recruiting and retaining postpartum women from areas of social disadvantage in a weight-loss trial – an assessment of strategies employed in the WeighWell feasibility study. Maternal and Child Nutrition, 9 (3). pp. 322-331.

This list was generated on Tue Aug 11 08:40:44 2020 BST.