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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: 10.

Coraddu, Andrea and Oneto, Luca and Navas de Maya, Beatriz and Kurt, Rafet (2020) Determining the most influential human factors in maritime accidents : a data-driven approach. Ocean Engineering, 211. 107588. ISSN 0029-8018

Navas de Maya, Beatriz and Kurt, Rafet Emek (2020) Marine Accident Learning with Fuzzy Cognitive Maps (MALFCMs) : a case study on bulk carrier's accident contributors. Ocean Engineering, 208. 107197. ISSN 0029-8018

Navas de Maya, Beatriz and Kurt, Rafet Emek (2020) Marine accident learning with fuzzy cognitive maps (MALFCMs). MethodsX, 7. 100940. ISSN 2215-0161

Navas de Maya, Beatriz and Khalid, Hassan and Kurt, Rafet Emek (2020) Application of card sorting approach to classify human factors of past maritime accidents. Maritime Policy & Management. ISSN 1464-5254

Navas de Maya, Beatriz and Babaleye, Ahmed O. and Kurt, Rafet E. (2019) Marine accident learning with fuzzy cognitive maps (MALFCMs) and Bayesian networks. Safety in Extreme Environments. ISSN 2524-8189

Navas de Maya, Beatriz and Kurt, Rafet Emek and Turan, Osman (2019) Marine accident learning with fuzzy cognitive maps (MALFCMs) : a case study on fishing vessels. In: European Safety and Reliability Conference, 2019-09-22 - 2019-09-26, Hannover.

Navas de Maya, B. and Ahn, S.I. and Kurt, R.E.; Georgiev, Petar and Soares, Carlos Guedes, eds. (2019) Statistical analysis of MAIB database for the period 1990-2016. In: Sustainable Development and Innovations in Marine Technologies. CRC/Taylor & Francis Group, BGR. ISBN 9780367810085

Navas de Maya, Beatriz and Babaleye, Ahmed and Kurt, Rafet Emek (2019) Marine accident learning with fuzzy cognitive maps (MALFCMs) and Bayesian networks : a case study on maritime accidents. In: 4th Workshop and Symposium on Safety and Integrity Management of Operations in Harsh Environments, 2019-07-15 - 2019-07-17.

Navas de Maya, B and Kurt, R E; (2018) Application of fuzzy cognitive maps to investigate the contributors of maritime grounding accidents. In: Human Factors. Royal Institution of Naval Architects, GBR.

Navas de Maya, Beatriz and Kurt, Rafet Emek and Turan, Osman (2018) Application of fuzzy cognitive maps to investigate the contributors of maritime collision accidents. In: Transport Research Arena (TRA) 2018, 2018-04-16 - 2018-04-19, Reed Messe Wien.

This list was generated on Sat Aug 8 09:56:01 2020 BST.