Optimization of a method for identifying the flow regime and measuring void fraction in a broad beam gamma-ray attenuation technique

Layered Neural Networks with Gaussian Hidden Units as Universal Approximations

Eric Hartman, James D. Keeler, J. Kowalski · Neural Computation · 1990 · 790 citations

Computing, Computer Science, Mathematics +7

Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks

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Engineering, Computational Engineering, Petroleum Engineering +17

Flow regime identification and void fraction prediction in two-phase flows based on gamma ray attenuation

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Engineering, Petroleum Engineering, Computational Fluid Dynamics +15

A numerical study of the gas-liquid, two-phase flow maldistribution in the anode of a high pressure PEM water electrolysis cell

Anders Christian Olesen, Carsten Rømer, Søren Knudsen Kær · International Journal of Hydrogen Energy · 2015 · 159 citations

Engineering, Chemical Engineering, Electrical Engineering +14

Precise Void Fraction Measurement in Two-phase Flows Independent of the Flow Regime Using Gamma-ray Attenuation

Ehsan Nazemi, S.A.H. Feghhi, Gholam Hossein Roshani et al. · Nuclear Engineering and Technology · 2015 · 142 citations · Full text

Engineering, Petroleum Engineering, Instrumentation +15