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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.

F

Feng, Geng and Reed, Sean and Patelli, Edoardo and Beer, Michael and Coolen, Frank P.A.; Stefanou, George and Papadrakakis, M. and Papadopoulos, Vissarion, eds. (2017) Efficient reliability and uncertainty assessment on lifeline networks using the survival signature. In: UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering. National Technical University of Athens, GRC, pp. 90-99. ISBN 9786188284449

O

Oparaji, Uchenna and Sheu, Rong-Jiun and Patelli, Edoardo; Stefanou, George and Papadrakakis, M. and Papadopoulos, Vissarion, eds. (2017) Robust artificial neural network for reliability analysis. In: UNCECOMP 2017. UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering . Eccomas Proceedia, GRC, pp. 651-662. ISBN 9786188284449

P

Patelli, Edoardo and Broggi, Matto and Tolo, Silvia and Sadeghi, Jonathan; Stefanou, George and Papadrakakis, M. and Papadopoulos, Vissarion, eds. (2017) Cossan software : a multidisciplinary and collaborative software for uncertainty quantification. In: UNCECOMP 2017. National Technical University of Athens, GRC, pp. 212-224. ISBN 9786188284449

T

Tolo, Silvia and Patelli, Edoardo and Chen, Diyi; Stefanou, George and Papadrakakis, M. and Papadopoulos, Vissarion, eds. (2017) Vulnerability of hydropower installations to climate change : preliminary study. In: UNCECOMP 2017. UNCECOMP 2017 - Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering . Eccomas Proceedia, GRC, pp. 680-689. ISBN 9786188284449

This list was generated on Thu Nov 21 04:49:16 2024 GMT.