Picture of cyber-style head against binary code

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...

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Number of items: 5.

Article

Amirafshari, Peyman and Barltrop, Nigel and Bharadwaj, Ujjwal and Wright, Martyn and Oterkus, Selda (2017) A review of nondestructive examination methods for new-building ships undergoing classification society survey. Journal of Ship Production and Design, 33 (2). pp. 1-11. ISSN 2158-2866

Book Section

Michala, A. L. and Barltrop, N. and Amirafshari, P. and Lazakis, I. and Theotokatos, G.; (2017) An intelligent system for vessels structural reliability evaluation. In: Life-Cycle of Engineering Systems. CRC Press/Balkema, NLD, pp. 1891-1898. ISBN 9781138028470

Michala, A. L. and Barltrop, N. and Amirafshari, P. and Lazakis, I. and Theotokatos, G.; (2016) An intelligent system for vessels structural reliability evaluation. In: International Conference on Maritime Safety  and Operations. University of Strathclyde, GBR, pp. 171-179. ISBN 9781909522169

Conference or Workshop Item

Amirafshari, Peyman and Stacey, Alexander (2019) Review of available probabilistic models of the crack growth parameters in the Paris equation. In: 38th International Conference on Ocean, Offshore & Arctic Engineering, 2019-06-09 - 2019-06-14, Scottish Event Campus.

Amirafshari, Peyman and Bharadwaj, Ujjwal and Barltrop, Nigel and Oterkus, Selda and Wright, Martyn (2017) Application of probabilistic fracture mechanics in risk based non destructive examination of new building ships. In: National Structural Integrity Research Centre (NSIRC) Conference 2017, 2017-06-21 - 2017-06-22.

This list was generated on Mon Aug 3 19:21:57 2020 BST.