2020
DOI: 10.1016/j.ces.2020.115660
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Cluster-based reduced-order descriptions of two phase flows

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Cited by 27 publications
(1 citation statement)
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“…High accuracy is achieved on multiphase flow regimes identification in [14] and [15]. Other representative work includes distinguishing multiphase flow patterns for given flow conditions by analysing time-series signals 30 [16], implementing Long-Short Term Memory (LSTM) on flow regime prediction [17], and applying the cluster-based reduced-order model to extract the flow features of slug flow [18].…”
Section: Introductionmentioning
confidence: 99%
“…High accuracy is achieved on multiphase flow regimes identification in [14] and [15]. Other representative work includes distinguishing multiphase flow patterns for given flow conditions by analysing time-series signals 30 [16], implementing Long-Short Term Memory (LSTM) on flow regime prediction [17], and applying the cluster-based reduced-order model to extract the flow features of slug flow [18].…”
Section: Introductionmentioning
confidence: 99%