Picture of cyber-style head against binary code

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...

Browse by Journal or other publication

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2018 | 2017
Number of items: 3.

2019

Coulter, Robert W.S. and Sang, Jordan M. and Marquez, William Louth and Henderson, Emmett R. and Espelage, Dorothy and Hunter, Simon C. and DeLucas, Matthew and Abebe, Kaleab Z. and Miller, Elizabeth and Morrill, Brooke A. and Hieftje, Kimberley and Friedman, Mark S. and Egan, James E. (2019) Pilot testing the feasibility of a game intervention aimed at improving help seeking and coping among sexual and gender minority youth : protocol for a randomized controlled trial. JMIR Research Protocols, 21 (2). e12164. ISSN 1929-0748

2018

McCann, Lisa and McMillan, Kathryn Anne and Hewitt, Christopher (2018) E-prehabilitation system of care for teenagers and young adults diagnosed with cancer : study protocol. JMIR Research Protocols, 7 (9). e10287. ISSN 1929-0748

2017

Pugh, Gemma and McCann, Lisa (2017) Assessing the quality, feasibility and efficacy of electronic patient platforms designed to support adolescents and young adults with cancer : a systematic review protocol. JMIR Research Protocols, 6 (1). e4.

This list was generated on Thu Aug 13 10:00:01 2020 BST.