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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: 2020 | 2018 | 2017 | 2016
Number of items: 8.

2020

Allan, Grant J. and McGrane, Scott J. and Roy, Graeme and Baer, Thomas M. (2020) Scotland's industrial water use : understanding recent changes and examining the future. Environmental Science and Policy, 106. pp. 48-57. ISSN 1462-9011

2018

Sadr, Seyed M.K. and Saroj, Devendra P. and Mierzwa, Jose Carlos and McGrane, Scott J. and Skouteris, George and Farmani, Raziyeh and Kazos, Xenofon and Aumeier, Benedikt and Kouchaki, Samaneh and Ouki, Sabeha (2018) A multi expert decision support tool for the evaluation of advanced wastewater treatment trains : a novel approach to improve urban sustainability. Environmental Science and Policy, 90. pp. 1-10. ISSN 1462-9011

McGrane, Scott J. and Allan, Grant J. and Roy, Graeme (2018) Water as an economic resource and the impacts of climate change on the hydrosphere, regional economies and Scotland. Fraser of Allander Economic Commentary, 42 (4). pp. 53-74. ISSN 2046-5378

McGrane, Scott J. and Acuto, Michele and Artioli, Francesca and Chen, Po-Yu and Comber, Robert and Cottee, Julian and Farr-Wharton, Geremy and Green, Nicola and Helfgott, Ariella and Larcom, Shaun and McCann, Julie A. and O'Reilly, Patrick and Salmoral, Gloria and Scott, Marian and Todman, Lindsay C. and van Gevelt, Terry and Yan, Xiaoyu (2018) Scaling the nexus : towards integrated frameworks for analysing water, energy and food. Geographical Journal. ISSN 1475-4959

Hoolohan, C. and Larkin, A. and McLachlan, C. and Falconer, R. and Soutar, I. and Suckling, J. and Varga, L. and Haltas, I. and Druckman, A. and Lambrusco, D. and Scott, M. and Gilmour, D. and Ledbetter, R. and McGrane, S. and Mitchell, C. and Yu, D. (2018) Engaging stakeholders in research to address water-energy-food (WEF) nexus challenges. Sustainability Science. ISSN 1862-4057

2017

Hutchins, Michael G. and McGrane, Scott J. and Miller, James D. and Hagen-Zanker, Alex and Kjeldsen, Thomas R. and Dadson, Simon J. and Rowland, Clare S. (2017) Integrated modeling in urban hydrology : reviewing the role of monitoring technology in overcoming the issue of 'big data' requirements. Wiley Interdisciplinary Reviews: Water, 4 (1). e1177. ISSN 2049-1948

2016

McGrane, Scott J. (2016) Impacts of urbanisation on hydrological and water quality dynamics, and urban water management : a review. Hydrological Sciences Journal, 61 (13). pp. 2295-2311. ISSN 0262-6667

Oliver, David M. and Porter, Kenneth D.H. and Pachepsky, Yakov A. and Muirhead, Richard A. and Reaney, Sim M. and Coffey, Rory and Kay, David and Milledge, David G. and Hong, Eunmi and Anthony, Steven G. and Page, Trevor and Bloodworth, Jack W. and Mellander, Per-Erik and Carbonneau, Patrice E. and McGrane, Scott J. and Quilliam, Richard S. (2016) Predicting microbial water quality with models : over-arching questions for managing risk in agricultural catchments. Science of the Total Environment, 544. pp. 39-47. ISSN 0048-9697

This list was generated on Sat Aug 8 13:53:39 2020 BST.