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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: 8.

Tikka, Theofano and Paleri, Vinidh (2020) Letter to the editor in reference to : "A web-based prediction score for head and neck cancer referrals". Clinical Otolaryngology, 45 (1). p. 156. ISSN 1749-4478

Tikka, Theofano and Kavanagh, Kimberley and Lowit, Anja and Jiafeng, Pan and Burns, Harry and Nixon, Iain J. and Paleri, Vinidh and MacKenzie, Kenneth (2020) Head and neck cancer risk calculator (HaNC-RC) – v.2. adjustments and addition of symptoms and social history factors. Clinical Otolaryngology. ISSN 1749-4478

Douglas, C M and Altmyer, U and Cottom, L and Young, D and Redding, P and Clark, L J (2018) A 20 year observational cohort of a 5 million patient population - tonsillectomy rates in the context of two national policy changes. Clinical Otolaryngology. ISSN 1749-4478

Cohen, Wendy and Wynne, David M and Lloyd, Susan and Townsley, Richard B (2017) Cross-sectional follow up of voice outcomes in children who have a history of airway reconstruction surgery. Clinical Otolaryngology. ISSN 1749-4478

Crosbie, R. and McKendrick, M. and Corson, S. and Lowit, A. and Mackenzie, K. (2016) Patient expectation of a voice clinic consultation : development of the ACaPELa questionnaire by assessment of four hundred and fifty-five patients. Clinical Otolaryngology, 42 (1). pp. 185-188. ISSN 1749-4478

Wynne, David McGregor and Cohen, Wendy (2012) The paediatric voice clinic : our experience of 81 children referred over 28 months. Clinical Otolaryngology, 37 (4). pp. 318-320. ISSN 1749-4478

Robertson, S. and Young, D. and McGarry, G.W. and MacKenzie, K. (2009) Response to Shayah and Coatesworth. Clinical Otolaryngology, 34 (2). pp. 165-166. ISSN 1749-4478

Robertson, S. and Young, D. and McGarry, G.W. and MacKenzie, K. (2008) The role of ENT surgeons in snoring assessment : some prospective preliminary evidence. Clinical Otolaryngology, 33 (5). pp. 458-461. ISSN 1749-4478

This list was generated on Sat Aug 8 12:27:09 2020 BST.