Author/Creator: Beaton, Nick - British Library Electronic Legal Deposit Catalogue-Journal Issues and Articles Search Results

Author/Creator Beaton, Nick

1. An Automated Machine learning (AutoML) approach to regression models in minerals processing with case studies of developing industrial comminution and flotation models. (November 2022)

Authors:: Koh, Edwin J.Y.; Amini, Eiman; Gaur, Shruti; Becerra Maquieira, Miguel; Jara Heck, Christian; McLachlan, Geoffrey J.; Beaton, Nick
Journal:: Minerals engineering
Issue:: Volume 189(2022)
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Record Type:: Journal Article
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2. Utilising a deep neural network as a surrogate model to approximate phenomenological models of a comminution circuit for faster simulations. (15th August 2021)

Authors:: Koh, Edwin J.Y.; Amini, Eiman; McLachlan, Geoffrey J.; Beaton, Nick
Journal:: Minerals engineering
Issue:: Volume 170(2021)
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Record Type:: Journal Article
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3. Utilising convolutional neural networks to perform fast automated modal mineralogy analysis for thin-section optical microscopy. (1st November 2021)

Authors:: Koh, Edwin J.Y.; Amini, Eiman; McLachlan, Geoffrey J.; Beaton, Nick
Journal:: Minerals engineering
Issue:: Volume 173(2021)
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Record Type:: Journal Article
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