Apr 11, 2019 · Convolutional neural networks (CNNs) are applied to predict the flowrate of multiphase flows for the first time and can achieve promising ...

This paper attempts to seek new possibilities for multiphase flow measurement and novel application scenarios for state-of-the-art machine learning (ML) ...

Feb 5, 2020 · The experimental results demonstrate that FANs can effectively prevent the accuracy degradation caused by the gap between training and testing ...

Flow adversarial networks (FANs) are proposed that can distill both domain-invariant and flowrate-discriminative features from the raw input and have better ...

In [29], the authors applied a CNN to predict the flow of gas-liquid multiphase flow in different regions. They also tested a modified version of a generative ...

Flow Adversarial Networks Flowrate Prediction for Gas–Liquid Multiphase Flows Across Different Domains · Flood Forecasting System Based on Integrated Big and ...

Flow adversarial networks: Flowrate prediction for gas–liquid multiphase flows across different domains. D Hu, J Li, Y Liu, Y Li. IEEE transactions on neural ...

For instance, Convolutional Neural Networks (CNN) and Flow Adversarial Networks (FAN) on predicting gas-liquid multiphase flows have been performed and the ...

More recently, flow adversarial networks were proposed for multiphase flow measurement by Hu et al. (2020), which allow cross-domain prediction of gas and ...

Sep 7, 2024 · Flow Adversarial Networks: Flowrate Prediction for Gas-Liquid Multiphase Flows Across Different Domains. Article. Full-text available. Feb 2020.