1 |
Experimental Study of Void Fraction Measurement Using a Capacitance-Based Sensor and ANN in Two-Phase Annular Regimes for Different Fluids
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Axioms
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2 |
An Experimental and Simulation Study for Comparison of the Sensitivity of Different Non-Destructive Capacitive Sensors in a Stratified Two-Phase Flow Regime
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Electronics
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3 |
Enhanced Multiphase Flow Measurement Using Dual Non-Intrusive Techniques and ANN Model for Void Fraction Determination
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Processes
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4 |
Enhanced Gamma-Ray Attenuation-Based Detection System Using an Artificial Neural Network
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Photonics
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5 |
Performance comparison of capacitance-based flowmeter with gamma-ray attenuation-based two-phase flowmeter for determining volume fractions in an annular flow regime’s components
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European Physical Journal Plus
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6 |
Application of Wavelet Feature Extraction and Artificial Neural Networks for Improving the Performance of Gas–Liquid Two-Phase Flow Meters Used in Oil and Petrochemical Industries
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Polymers
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7 |
Proposing an Intelligent Dual-Energy Radiation-Based System for Metering Scale Layer Thickness in Oil Pipelines Containing an Annular Regime of Three-Phase Flow
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Mathematics
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8 |
Proposing a Nondestructive and Intelligent System for Simultaneous Determining Flow Regime and Void Fraction Percentage of Gas–Liquid Two Phase Flows Using Polychromatic X-Ray Transmission Spectra
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JOURNAL OF NONDESTRUCTIVE EVALUATION
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9 |
Simulation Study of Utilizing X-ray Tube in Monitoring Systems of Liquid Petroleum Products
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Processes
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10 |
Feasibility Study of Using X-ray Tube and GMDH for Measuring Volume Fractions of Annular and Stratified Regimes in Three-Phase Flows
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Symmetry-Basel
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11 |
Combined application of neutron activation analysis using IECF device and neural network for prediction of cement elements
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Radiation Detection Technology and Methods
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12 |
Hybrid combination of multi-layer perceptron and neutron activation analysis in cement prediction
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PRAMANA-JOURNAL OF PHYSICS
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13 |
Optimization of a method for identifying the flow regime and measuring void fraction in a broad beam gamma-ray attenuation technique
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INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
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14 |
Application of artificial neural network in precise prediction of cement elements percentages based on the neutron activation analysis
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European Physical Journal Plus
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