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Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

Or explore all of Strathclyde's Open Access research...

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Number of items: 6.

Cebeci, Zeynel and Cebeci, Cagatay and Tahtali, Yalcin and Bayyurt, Lutfi (2022) Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering. Peer J Computer Science, 8. e1060.

Cebeci, Cagatay and Grimble, Michael; (2022) Speed tracking of an electric vehicle using a restricted structure NGMV control algorithm. In: 2022 European Control Conference, ECC 2022. IEEE, Piscataway, N.J., pp. 790-795. ISBN 9783907144077

Cebeci, Zeynel and Cebeci, Cagatay (2020) A fast algorithm to initialize cluster centroids in fuzzy clustering applications. Information, 11 (9). 446. ISSN 2078-2489

Cebeci, Cagatay and Grimble, Michael and Recalde-Camacho, Luis and Katebi, Reza (2019) SDRE preview control for a LPV modelled autonomous vehicle. In: 3rd IFAC Workshop on Linear Parameter-Varying Systems, 2019-11-04 - 2019-11-06, Eindhoven University of Technology.

Cebeci, Zeynel and Cebeci, Cagatay; (2019) kpeaks : an R package for quick selection of k for cluster analysis. In: 2018 International Conference on Artificial Intelligence and Data Processing - Proceedings. IEEE, TUR. ISBN 9781538668788

Cebeci, C. and Grimble, M.J. and Katebi, R. and Recalde, L.F. (2018) Restricted structure non-linear generalized minimum variance control of a 2-link robot arm. In: 12th UKACC International Conference on Control, 2018-09-05 - 2018-09-07, University of Sheffield.

This list was generated on Mon Feb 6 18:58:00 2023 GMT.