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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.

Article

Horgan, Donagh and Dimitrijevic, Branka (2019) Frameworks for citizens participation in planning : from conversational to smart tools. Sustainable Cities and Society, 48. 101550. ISSN 2210-6707

Marana, Patricia and Eden, Colin and Eriksson, Henrik and Grimes, Clara and Hernantes, Josune and Howick, Susan and Labaka, Leire and Latinos, Vasileios and Lindner, Rene and Majchrzak, Tim and Pyrko, Igor and Radianti, Jaziar and Rankin, Amy and Sakurai, Mihoko and Sarriegi, Jose M. and Serrano, Nicolas (2019) Towards a resilience management guideline — Cities as a starting point for societal resilience. Sustainable Cities and Society, 48. 101531. ISSN 2210-6707

Seyedzadeh, Saleh and Pour Rahimian Leilabadi, Farzad and Rastogi, Parag and Glesk, Ivan (2019) Tuning machine learning models for prediction of building energy loads. Sustainable Cities and Society, 47. 101484. ISSN 2210-6707

Lyden, Andrew and Pepper, Russell and Tuohy, Paul G. (2018) A modelling tool selection process for planning of community scale energy systems including storage and demand side management. Sustainable Cities and Society, 39. pp. 674-688. ISSN 2210-6707

Ekpenyong, Uduakobong E. and Zhang, Jiangfeng and Xia, Xiaohua (2015) How information propagation in social networks can improve energy savings based on time of use tariff. Sustainable Cities and Society, 19. pp. 26-33. ISSN 2210-6707

Sofotasiou, Polytimi and Hughes, Benjamin Richard and Calautit, John Kaiser (2015) Qatar 2022 : facing the FIFA world cup climatic and legacy challenges. Sustainable Cities and Society, 14 (1). pp. 16-30. ISSN 2210-6707

Dawood, Saad and Crosbie, Tracey and Dawood, Nashwan and Lord, Richard (2013) Designing low carbon buildings : a framework to reduce energy consumption and embed the use of renewables. Sustainable Cities and Society, 8. pp. 63-71. ISSN 2210-6707

Hughes, Ben Richard and Rezazadeh, Fatemeh and Chaudhry, Hassam Nasarullah (2013) Economic viability of incorporating multi-effect distillation with district cooling systems in the United Arab Emirates. Sustainable Cities and Society, 7. pp. 37-43. ISSN 2210-6707

This list was generated on Wed Aug 5 08:27:54 2020 BST.