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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: 3.

Article

Mollel, Rachel Stephen and Stankovic, Lina and Stankovic, Vladimir (2023) Explainability-informed feature selection and performance prediction for nonintrusive load monitoring. Sensors, 23 (10). 4845. ISSN 1424-8220

Book Section

Mollel, Rachel Stephen and Stankovic, Lina and Stankovic, Vladimir; (2022) Using explainability tools to inform NILM algorithm performance : a decision tree approach. In: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. BuildSys '22 . Association for Computing Machinery (ACM), USA, pp. 368-372. ISBN 9781450398909

Conference or Workshop Item

Mollel, Rachel Stephen and Stankovic, Lina and Stankovic, Vladimir (2022) Using explainability tools to inform non-intrusive load monitoring algorithm performance : a decision tree approach. In: Supergen Energy Networks Hub Conference, 2022-11-23 - 2022-11-24, St Davids Hotel, Cardiff Bay.

This list was generated on Thu Mar 28 20:24:23 2024 GMT.