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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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Group by: Publication Date | Item type | No Grouping
Jump to: 2019 | 2017 | 2016 | 2013 | 2011 | 2008
Number of items: 9.

2019

Yang, Manman and Yang, Erfu and Zante, Remi Christophe and Post, Mark and Liu, Xuefeng; (2019) Collaborative mobile industrial manipulator : a review of system architecture and applications. In: 2019 25th IEEE International Conference on Automation and Computing. IEEE, GBR. ISBN 9781861376664

2017

Onyeiwu, Chimaeze and Yang, Erfu and Rodden, Tony and Yan, Xiu-Tian and Zante, Remi C and Ion, William (2017) In-process monitoring and quality control of hot forging processes towards Industry 4.0. In: Industrial Systems in the Digital Age Conference 2017, 2017-06-20 - 2017-06-21, University of Glasgow.

Marashi, J. and Yakushina, E. and Xirouchakis, P. and Zante, R. and Foster, J. (2017) An evaluation of H13 tool steel deformation in hot forging condition. Journal of Materials Processing Technology, 246. pp. 276-284. ISSN 0924-0136

2016

Kahani, Danial and Zante, Remi; Goh, Yee Mey and Case, Keith, eds. (2016) AFRC’s image processing platform : a high speed user-friendly architecture for real time object detection in forging processes. In: Advances in Manufacturing Technology XXX. Advances in Transdisciplinary Engineering . IOS Press, Amsterdam, pp. 205-210. ISBN 9781614996675 (In Press)

Marashi, James and Zante, Remi Christophe and Foster, James (2016) Defining a method of evaluating die life performance by using finite element models (FEM) and a practical open die hot forging method. In: 19th International ESAFORM Conference on Material Forming – ESAFORM 2016, 2016-04-27 - 2016-04-29, Nantes Congress Center.

Zuelli, Nicola and Fleming, Christopher and Farrell, Mark and Zante, Remi and Robinson, Luke; Sato, Eiichi and Itoh, Goroh and Takayama, Yoshimasa and Kitazono, Koichi and Morita, Koji and Itoi, Takaomi and Kobayashi, Junya, eds. (2016) Innovative methods for investigating key process variables in the manufacture of superplastically formed aero-engine components. In: Superplasticity in Advanced Materials - ICSAM 2015. Materials Science Forum . Trans Tech Publications, GBR, pp. 603-609. ISBN 978-3-03835-672-1

2013

Anderson, Magnus and McGuire, Kenny and Zante, Remi Christophe and Ion, William and Rosochowski, Andrzej and Brooks, Jeffery (2013) Identifying the dominant failure mode in the hot extrusion tooling used to forge nickel based superalloy. Journal of Materials Processing Technology, 213 (1). 111–119. ISSN 0924-0136

2011

Zante, Remi Christophe and Yan, Xiu (2011) Microflow valve control system design. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225 (3). pp. 431-442. ISSN 0959-6518

2008

Zante, Remi C. (2008) A mechatronic design synthesis for very low flow control valves. PhD thesis, University Of Strathclyde.

This list was generated on Mon Aug 3 18:04:21 2020 BST.