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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: 4.

Article

Parasyris, Apostolos and Stankovic, Lina and Stankovic, Vladimir (2024) A machine learning-driven approach to uncover the influencing factors resulting in soil mass displacement. Geosciences, 14 (8). 220. ISSN 2076-3263

Parasyris, Apostolos and Stankovic, Lina and Stankovic, Vladimir (2023) Synthetic data generation for Deep Learning-based Inversion for Velocity Model Building. Remote Sensing, 15 (11). 2901. ISSN 2072-4292

Book Section

Parasyris, A. and Stankovic, L. and Pytharouli, S. and Stankovic, V.; Anagnostou, Georgios and Benardos, Andreas and Marinos, Vassilis P., eds. (2023) Near surface full waveform inversion via deep learning for subsurface imaging. In: Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World : Proceedings of the ITA-AITES World Tunnel Congress 2023 (WTC 2023), 12-18 May 2023, Athens, Greece. CRC Press, GRC, pp. 2829-2836. ISBN 9781003348030

Parasyris, A. and Bairaktaris, D.; Anagnostou, Georgios and Benardos, Andreas and Marinos, Vassilis P., eds. (2023) Innovative methodology for advanced structural condition assessment of tunnels. In: Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World. Expanding Underground - Knowledge and Passion to Make a Positive Impact on the World- Proceedings of the ITA-AITES World Tunnel Congress, WTC 2023 . CRC Press/Balkema, GRC, pp. 2493-2500. ISBN 9781003348030

This list was generated on Mon Nov 18 18:54:59 2024 GMT.