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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...

Strathprints

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Jump to: 2025 | 2024 | 2023
Number of items: 3.

2025

Yung, Kobe Hoi-Yin and Xiao, Qing and Xing, Xiuqing and Incecik, Atilla and Kang, Chang Wei; Lees, Michael H. and Cai, Wentong and Cheong, Siew Ann and Su, Yi and Abramson, David and Dongarra, Jack J. and Sloot, Peter M. A., eds. (2025) Discover the tractable latent space of floating offshore wind turbine based on a novel GNN-Encoder-Decoder-LSTM deep learning architecture. In: Computational Science – ICCS 2025. Lecture Notes in Computer Science . Springer, SGP, pp. 91-107. ISBN 9783031976261

2024

Yung, Kobe Hoi-Yin and Xiao, Qing and Incecik, Atilla and Thompson, Peter; (2024) Mooring force estimation for floating offshore wind turbines with augmented Kalman Filter : a step towards digital twin. In: Proceedings of ASME 2023 5th International Offshore Wind Technical Conference, IOWTC 2023. American Society of Mechanical Engineers (ASME), GBR. ISBN 9780791887578

2023

Yung, Kobe Hoi-Yin and Xiao, Qing and Incecik, Atilla and Thompson, Peter (2023) Digital twin modelling of floating offshore wind turbine with fully coupled aero-hydrodynamic simulation. In: CENSIS (Centre for Sensor and Imaging Systems) Tech Summit 2023, 2023-11-02 - 2023-11-02, Glasgow Royal Concert Hall.

This list was generated on Sat Jul 12 02:19:57 2025 BST.