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    Application of Machine Learning-Based Models to Understand and Predict Critical Flux of Oil-in-Water Emulsion in Crossflow Microfiltration by Henry J. Tanudjaja (12106715)

    Published 2022
    “…Exceptions were found in specific cases when casein concentration was the most dominant, since the smaller sizes of casein significantly decreased <i>J</i><sub>crit</sub>. The NN model predicted the best when all nine input parameters were integrated and the worst when CFV was the sole parameter used for model development, even though CFV was identified as the most dominant. …”
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