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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.

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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.

Johnson, Karl and Morais, Caroline and Patelli, Edoardo; Papadrakakis, M. and Papadopoulos, V. and Stefanou, G., eds. (2023) AI tools for human reliability analysis. In: UNCECOMP 2023: 5th International Conference on Uncertainty Quantification in Computational Science and Engineering. National Technical University of Athens, GRC, pp. 437-452. ISBN 9786185827021

Johnson, Karl and Patelli, Edoardo and Morais, Caroline (2023) Natural language tools for human reliability analysis. In: Conference: CRA Risk and Safety Forum, 2023-09-20 - 2023-09-21.

Johnson, Karl and Patelli, Edoardo and Morais, Caroline; Brito, Mário P. and Aven, Terje and Baraldi, Piero and Čepin, Marko and Zio, Enrico, eds. (2023) Natural language processing tool for identifying influencing factors in human reliability analysis and summarizing accident reports. In: 33rd European Safety and Reliability Conference (ESREL 2023). Research Publishing, Singapore. ISBN 9789811880711

Johnson, Karl and Morais, Caroline and Patelli, Edoardo and Walls, Lesley; (2022) A data driven approach to elicit causal links between performance shaping factors and human failure events. In: Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022). Research Publishing, IRL, pp. 520-527.

Morais, Caroline and Yung, Ka Lai and Johnson, Karl and Moura, Raphael and Beer, Michael and Patelli, Edoardo (2022) Identification of human errors and influencing factors : a machine learning approach. Safety Science, 146. p. 105528. 105528. ISSN 0925-7535

This list was generated on Thu Nov 21 01:29:31 2024 GMT.