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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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Number of items: 6.

Johnson, Karl and Patelli, Edoardo and Morais, Caroline (2024) Identifying ambiguity and potential violations in standard operating procedures using natural language processing tools. In: European Safety and Reliability Conference, 2024-06-23 - 2024-06-27, Jagiellonian University.

Filippi, Gianluca and Patelli, Edoardo and Vasile, Massimiliano and Fossati, Marco (2022) Multi-layer resilience optimisation for next generation drone logistic networks. In: European Safety and Reliability Conference, 2022-08-28 - 2022-09-02, TU Dublin.

Mukhopadhyay, Koushiki and Liu, Bin and Bedford, Tim and Finkelstein, Maxim (2022) Remaining lifetime of degrading systems continuously monitored by degrading sensors. In: European Safety and Reliability Conference, 2022-08-28 - 2022-09-02, TU Dublin.

Navas de Maya, Beatriz and Kurt, Rafet Emek and Turan, Osman (2019) Marine accident learning with fuzzy cognitive maps (MALFCMs) : a case study on fishing vessels. In: European Safety and Reliability Conference, 2019-09-22 - 2019-09-26, Hannover.

Hardman, G. and Bedford, T.J. and Quigley, J.L. and Walls, L.A. (2008) Models for data combination to support safety committee decisions. In: European Safety and Reliability Conference, 2008-09-22 - 2008-09-25.

Zitrou, Athena and Bedford, T.J. (2003) Foundations of the UPM common cause failure method. In: European Safety and Reliability Conference, 2003-06-01.

This list was generated on Thu Nov 21 11:47:55 2024 GMT.