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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 | 2017 | 2015 | 2011
Number of items: 5.

2019

Albassam, Sarah Ahmed A and Ruthven, Ian (2019) Dynamic aspects of relevance : differences in users' relevance criteria between selecting and viewing videos during leisure searches. Information Research. pp. 1-17. ISSN 1368-1613 (In Press)

Louvier, Kahina Le and Innocenti, Perla (2019) The information mapping board game : a collaborative investigation of asylum seekers and refugees? Information practices in England, UK. Information Research, 24 (1). ISSN 1368-1613

2017

Lloyd, Annemaree and Pilerot, Ola and Hultgren, Frances (2017) The remaking of fractured landscapes : supporting refugees in transition (SpiRiT). Information Research, 22 (3). 764. ISSN 1368-1613

2015

Tinto, Fiona and Ruthven, Ian (2015) Sharing happy information : responses and self-portrayal. Information Research, 20 (1). ISSN 1368-1613

2011

Balatsoukas, P. and OBrien, A. and Morris, A. (2011) The effects of discipline on the application of learning object metadata in UK higher education : the case of the Jorum repository. Information Research, 16 (3). 481. ISSN 1368-1613

This list was generated on Sat Aug 8 17:01:29 2020 BST.