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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: 2018 | 2017 | 2016 | 2015 | 2013 | 2012 | 2011 | 2010
Number of items: 12.

2018

Roscoe, Nina M. and Holliday, Derrick and McNeill, Neville and Finney, Stephen J. (2018) LV converters : improving efficiency and EMI using Si MOSFET MMC and experimentally exploring slowed switching. IEEE Journal of Emerging and Selected Topics in Power Electronics. ISSN 2168-6777

2017

Zhong, Y. and Roscoe, N. and Holliday, D. and Lim, T.C. and Finney, S.J. (2017) High-efficiency MOSFET-based MMC design for LVDC distribution systems. IEEE Transactions on Industry Applications. ISSN 0093-9994

Zhong, Yanni and Roscoe, Nina M. and Holliday, Derrick and Finney, Stephen J. (2017) MMC with parallel-connected MOSFETs as an alternative to wide bandgap converters for LVDC distribution networks. Journal of Engineering. ISSN 2051-3305

2016

Feng, Rui and Roscoe, Nina and Qaseer, Layth and Bojarski, Mariusz and Shin, Jaegue and Czoarkowski, Dariusz and De Leon, Francisco and Finney, Stephen and Deng, Qijun; (2016) Magnetic field distribution in a WPT system for electric vehicle charging. In: Progress In Electromagnetics Research Symposium 2016. IEEE, CHN. ISBN 978-1-5090-6094-8

Zhong, Yanni and Roscoe, Nina and Holliday, Derrick and Finney, Stephen (2016) MOSFET parallel-connection of low-voltage MMC for LVDC distribution networks. In: 8th IET International Conference on Power Electronics, Machines and Drives, 2016-04-19 - 2016-04-21, The Hilton Hotel.

2015

Roscoe, N.M. and Zhong, Y. and Finney, S.J.; (2015) Comparing SiC MOSFET, IGBT and Si MOSFET in LV distribution inverters. In: 41st Annual Conference of the IEEE Industrial Electronics Society. IEEE, JPN. ISBN 9781479917624 (In Press)

2013

Roscoe, Nina and Judd, Martin (2013) Optimization of voltage doublers for energy harvesting applications. IEEE Sensors Journal, 13 (12). pp. 4904-4911. ISSN 1530-437X

Roscoe, Nina and Judd, Martin (2013) Harvesting energy from magnetic fields to power condition monitoring sensors. IEEE Sensors Journal, 13 (6). pp. 2263-2270. ISSN 1530-437X

2012

Roscoe, Nina and Zhu, Minan and Baker, Peter and Judd, Martin (2012) Energy harvesting in substations for autonomous sensing. In: UHVnet Colloquium 2012, 2012-01-18 - 2012-01-19.

2011

Zhu, Minan and Roscoe, Nina and Judd, Martin (2011) Energy harvesting from electric and magnetic fields in substations for powering autonomous sensors. In: EH network 2011, 2011-02-07.

Roscoe, Nina and Judd, Martin; (2011) Optimum coil design for inductive energy harvesting in substations. In: Fourth UHVnet colloquium proceedings. IEEE, GBR, p. 12.

2010

Roscoe, Nina and Judd, Martin and Fraser, Leigh (2010) A novel inductive electromagnetic energy harvester for condition monitoring sensors. In: CMD2010, 2010-09-06 - 2010-09-11.

This list was generated on Sat Aug 8 03:36:14 2020 BST.