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Support Vector Machine Application for Multiphase Flow Pattern Prediction
In this paper a data analytical approach featuring support vector machines (SVM) is employed to train a predictive model over an experimentaldataset, which consists of the most relevant studies for two-phase flow pattern prediction.
Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow
In order to better model complex real-world data such as multiphase flow, one approach is to develop pattern recognition techniques and robust features that capture the relevant information.
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