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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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Article

Vaikosen, Edebi N. and Olu-Owolabi, Bamidele I. and Gibson, Lorraine T. and Adebowale, Kayode O. and Davidson, Christine M. and Asogwa, Uche (2019) Kinetic field dissipation and fate of endosulfan after application on theobroma cacao farm in tropical Southwestern Nigeria. Environmental Monitoring and Assessment, 191 (3). 196. ISSN 0167-6369

Cavoura, Olga and Davidson, Christine and Katsiris, Nicholas and Keenan, Helen (2018) Optimisation and application of a low cost, colorimetric screening method for mercury in marine sediment. Environmental Monitoring and Assessment. 236. ISSN 0167-6369

Oyeyiola, Aderonke O. and Davidson, Christine M. and Olayinka, Kehinde O. and Alo, Babajide I. (2014) Fractionation and ecotoxicological implication of potentially toxic metals in sediments of three urban rivers and the Lagos Lagoon, Nigeria, West Africa. Environmental Monitoring and Assessment, 186 (11). pp. 7321-7333. ISSN 0167-6369

Oyeyiola, A. O. and Davidson, C. M. and Olayinka, K. O. and Oluseyi, T. O. and Alo, B. I. (2013) Multivariate analysis of potentially toxic metals in sediments of a tropical coastal lagoon. Environmental Monitoring and Assessment, 185 (3). pp. 2167-2177. ISSN 0167-6369

Knapp, Charles W and Findlay, David L and Kidd, Karen A and Graham, David W. (2008) A comparative assessment of molecular biological and direct microscopic techniques for assessing aquatic systems. Environmental Monitoring and Assessment, 145 (1-3). pp. 465-473. ISSN 0167-6369

Heal, M.R. and Tunes, T and Beverland, I J (2000) Using archive data to investigate trends in the sources and composition of urban PM10 particulate matter : application to Edinburgh (UK) between 1992 and 1997. Environmental Monitoring and Assessment, 62 (3). pp. 333-340. ISSN 0167-6369

This list was generated on Wed Aug 12 05:19:17 2020 BST.