Search Results - Amini, Eiman

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  1. 1
    Utilising convolutional neural networks to perform fast automated modal mineralogy analysis for thin-section optical microscopy

    Utilising convolutional neural networks to perform fast automated modal mineralogy analysis for thin-section optical microscopy by Koh, Edwin J.Y., Amini, Eiman, McLachlan, Geoffrey J., Beaton, Nick

    Published in Minerals engineering
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  2. 2
    Utilising a deep neural network as a surrogate model to approximate phenomenological models of a comminution circuit for faster simulations

    Utilising a deep neural network as a surrogate model to approximate phenomenological models of a comminution circuit for faster simulations by Koh, Edwin J.Y., Amini, Eiman, McLachlan, Geoffrey J., Beaton, Nick

    Published in Minerals engineering
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  3. 3
    A mineralogy characterisation technique for copper ore in flotation pulp using deep learning machine vision with optical microscopy

    A mineralogy characterisation technique for copper ore in flotation pulp using deep learning machine vision with optical microscopy by Koh, Edwin J.Y., Amini, Eiman, Spier, Carlos A., McLachlan, Geoffrey J., Xie, Weiguo, Beaton, Nick

    Published in Minerals engineering
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  4. 4
    An Automated Machine learning (AutoML) approach to regression models in minerals processing with case studies of developing industrial comminution and flotation models

    An Automated Machine learning (AutoML) approach to regression models in minerals processing with case studies of developing industrial comminution and flotation models by Koh, Edwin J.Y., Amini, Eiman, Gaur, Shruti, Becerra Maquieira, Miguel, Jara Heck, Christian, McLachlan, Geoffrey J., Beaton, Nick

    Published in Minerals engineering
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  5. 5
    A relationship between the bubble–particle attachment time and the mineralogy of a copper–sulphide ore

    A relationship between the bubble–particle attachment time and the mineralogy of a copper–sulphide ore by Albijanic, Boris, Amini, Eiman, Wightman, Elaine, Ozdemir, Orhan, Nguyen, Anh V., Bradshaw, Dee J.

    Published in Minerals engineering
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