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Correlated-Informed Neural Networks: A New Machine Learning Framework to Predict Pressure Drop in Micro-Channels

https://doi.org/10.2139/ssrn.4045887
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17/17 checkable references clean · checked 2026-07-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

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The 17 checked references that resolve
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Machine learning based models for pressure drop estimation of two-phase adiabatic air-water flow in micro-finned tubes: Determination of the most promising dimensionless feature set
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Prediction of Pressure Drop in Venturi Scrubbers by Multi-Gene Genetic Programming and Adaptive Neuro-Fuzzy Inference System
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A robust predictive technique for the pressure drop during condensation in inclined smooth tubes
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Data-driven multifidelity topology design using a deep generative model: Application to forced convection heat transfer problems
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Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
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An Approach for HVCB Mechanical Fault Diagnosis Based on a Deep Belief Network and a Transfer Learning Strategy
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Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture
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The 11 references without a DOI — listed, not checked
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no DOI — not checkedAl-sarkhi, Artificial Neural Network Application for Multiphase Flow Patterns Detection : A new Approach
no DOI — not checkedA Comparative Study of ANN and CFD Modelling for Pressure Drop Prediction in a Fluidized Bed with Internals A Comparative Study of ANN and CFD Modelling for Pressure Drop Prediction in a
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no DOI — not checkedPrediction of pressure drop during evaporation of R407C in horizontal tubes using artificial neural networks Postgraduate Mechanical Engineering
no DOI — not checkedApplication of new artificial neural network to predict heat transfer and thermal performance of a solar air-heater tube
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no DOI — not checkedA survey on deep transfer learning
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no DOI — not checkedSequential estimation of Spearman rank correlation using Hermite series estimators
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