Výsledky vyhledávání - "Edwin J.Y. Koh"

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

Autor: Edwin J.Y. Koh, Eiman Amini, Shruti Gaur, Miguel Becerra Maquieira, Christian Jara Heck, Geoffrey J. McLachlan, Nick Beaton

Publikováno v: Minerals Engineering. 189:107886

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b86d4a41a60b564371b7c1778fb1df18
https://doi.org/10.1016/j.mineng.2022.107886

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Utilising convolutional neural networks to perform fast automated modal mineralogy analysis for thin-section optical microscopy

Autor: Geoffrey J. McLachlan, Edwin J.Y. Koh, Nick Beaton, Eiman Amini

Publikováno v: Minerals Engineering. 173:107230

Thin section microscopy has been historically used for modal mineralogy in exploration and for monitoring plant performance. Despite this, the technique relies on visual detection from expert mineralogists which is error prone and slow. Consequently,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bcef26d494542fb85abc1591e7303820
https://doi.org/10.1016/j.mineng.2021.107230

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Utilising a deep neural network as a surrogate model to approximate phenomenological models of a comminution circuit for faster simulations

Autor: Nick Beaton, Edwin J.Y. Koh, Eiman Amini, Geoffrey J. McLachlan

Publikováno v: Minerals Engineering. 170:107026

Comminution circuits can be modelled using phenomenological models of individual unit operations to represent the operation performance. Process optimisation and block model variability analysis require millions of simulations to fully explore proces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::264c88b12e48a9b693017950c7af6750
https://doi.org/10.1016/j.mineng.2021.107026

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Predicting seagrass decline due to cumulative stressors

Autor: Victoria Lambert, Eve McDonald-Madden, Matias Quiroz, Scott A. Sisson, Len J. McKenzie, Edwin J.Y. Koh, Katherine R. O'Brien, Catherine J. Collier, Matthew P. Adams, Maria P. Vilas

Publikováno v: Environmental Modelling & Software. 130:104717

Seagrass ecosystems are increasingly subjected to multiple interacting stressors, making the consequent trajectories difficult to predict. Here, we present a new process-based model of seagrass decline in response to cumulative light and temperature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6887b28a433198c7b585c2d980feb570
https://doi.org/10.1016/j.envsoft.2020.104717

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