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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 7.

Yu, Hui and Yue, Hong and Halling, Peter (2018) Comprehensive experimental design for chemical engineering processes : a two-layer iterative design approach. Chemical Engineering Science, 189. pp. 135-153. ISSN 0009-2509

Wang, Ke and Yue, Hong and Yu, Hui (2018) Optimal input design for reduction of parameter correlations. In: The 24th International Conference on Automation and Computing (ICAC'18), 2018-09-06 - 2018-09-07, Newcastle University.

Yu, Hui and Yue, Hong and Halling, Peter (2018) Robust sampling time design for biochemical systems. IFAC-PapersOnLine, 51 (18). pp. 215-220. ISSN 2405-8963

Yu, Hui and Yu, Hening and Yue, Hong and Zhou, Jinglin; (2016) Integrated time sampling design and measurement set selection for biochemical systems. In: 2016 22nd International Conference on Automation and Computing (ICAC). IEEE, GBR, pp. 1-6. ISBN 978-1-86218-132-8

Yu, Hui and Yue, Hong and Halling, Peter (2016) A two-loop optimization strategy for multi-objective optimal experimental design. IFAC-PapersOnLine, 49 (7). pp. 803-808.

Yu, Hui and Yue, Hong and Halling, Peter (2015) Optimal experimental design for an enzymatic biodiesel production system. IFAC-PapersOnLine. 1259 – 1264. ISSN 2405-8963

Yue, Hong and Halling, Peter and Yu, Hui (2013) Model development and optimal experimental design of a kinetically controlled synthesis system. IFAC Proceedings Volumes, 46 (31). pp. 327-332. ISSN 1474-6670

This list was generated on Thu Nov 21 12:49:19 2024 GMT.