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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: 6.

Taylor, Rachel A. and Condoleo, Roberto and Simons, Robin R. L. and Gale, Paul and Kelly, Louise A. and Snary, Emma L. (2020) The risk of infection by African swine fever virus in European swine through boar movement and legal trade of pigs and pig meat. Frontiers in Veterinary Science, 6. 486. ISSN 2297-1769

Patanasatienkul, Thitiwan and Sanchez, Javier and Davidson, Jeff and Revie, Crawford W. (2019) The application of a mathematical model to evaluate the effectiveness of control strategies against Ciona intestinalis in mussel production. Frontiers in Veterinary Science, 6. 271. ISSN 2297-1769

Cantrell, Danielle L. and Rees, Erin E. and Vanderstichel, Raphael and Grant, Jon and Filgueira, Ramón and Revie, Crawford W. (2018) The use of kernel density estimation with a bio-physical model provides a method to quantify connectivity among salmon farms : spatial planning and management with epidemiological relevance. Frontiers in Veterinary Science, 5. 269. ISSN 2297-1769

Beyene, Tariku Jibat and Mindaye, Beakal and Leta, Samson and Cernicchiaro, Natalie and Revie, Crawford W. (2018) Understanding factors influencing dog owners' intention to vaccinate against rabies evaluated using health belief model constructs. Frontiers in Veterinary Science, 5. 159. ISSN 2297-1769

Beyene, Tariku Jibat and Asfaw, Fentahun and Getachew, Yitbarek and Tufa, Takele Beyene and Collins, Iain and Beyi, Ashenafi Feyisa and Revie, Crawford W. (2018) A smartphone-based application improves the accuracy, completeness, and timeliness of cattle disease reporting and surveillance in Ethiopia. Frontiers in Veterinary Science, 5. ISSN 2297-1769

Thorup, Vivi M and Nielsen, Birte L. and Robert, Pierre-Emmanuel and Giger-Reverdin, Sylvie and Konka, Jakub and Michie, Walter and Friggens, Nicholas C. (2016) Lameness affects cow feeding but not rumination behaviour as characterised from sensor data. Frontiers in Veterinary Science, 3 (37). ISSN 2297-1769

This list was generated on Mon Aug 3 19:02:55 2020 BST.