MA
Mehdi Alizadeh
Research areas: Physics and Astronomy · Instrumentation · Flow Measurement and Analysis · Non-Destructive Testing Techniques · Nuclear Physics and Applications
0000-0003-0951-174X
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Publications (81)
- A multi-band microstrip antenna sensor for real-time, non-invasive detection of water-gasoline mixtures Save
- RETRACTED: Azma et al. Statistical Modeling for Spatial Groundwater Potential Map Based on GIS Technique. Sustainability 2021, 13, 3788 Save
- RETRACTED: Syah et al. A Laboratory Approach to Measure Enhanced Gas Recovery from a Tight Gas Reservoir During Supercritical Carbon Dioxide Injection. Sustainability 2021, 13, 11606 Save
- Correction: Alizadeh et al. Comprehensive Review of Carbon Capture and Storage Integration in Hydrogen Production: Opportunities, Challenges, and Future Perspectives. Energies 2024, 17, 5330 Save
- A novel approach for measuring the void fraction in stratified air-water systems utilizing an 8-blade capacitance-based sensor, sinogram, and a deep neural network Save
- A novel metering system consists of capacitance-based sensor, gamma-ray sensor and ANN for measuring volume fractions of three-phase homogeneous flows Save
- ACO-based feature selection and neural network modeling for accurate gamma-radiation based pipeline monitoring in the oil industry Save
- Utilizing a Four-Concave Capacitance Sensor and ANN to Forecast Void Fraction in Two-Phase Stratified Flow Independent of Liquid Type Save
- Comprehensive Review of Carbon Capture and Storage Integration in Hydrogen Production: Opportunities, Challenges, and Future Perspectives Save
- Appraisal of rock dynamic, physical, and mechanical properties and forecasting shear wave velocity using machine learning and statistical methods Save
- Combining simulated annealing and RBF networks for accurate volumetric fraction determination of two-phase flows Save
- Measuring volume fractions of a three-phase flow without separation utilizing an approach based on artificial intelligence and capacitive sensors Save
- An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions Save
- Application of soft computing and statistical methods to predict rock mass permeability Save
- Introducing the Effective Features Using the Particle Swarm Optimization Algorithm to Increase Accuracy in Determining the Volume Percentages of Three-Phase Flows Save
- Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters Save
- LSTM algorithm to determine the state of minimum horizontal stress during well logging operation Save
- The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale value inside the pipe Save
- Using ANN and Combined Capacitive Sensors to Predict the Void Fraction for a Two-Phase Homogeneous Fluid Independent of the Liquid Phase Type Save
- A New Energy-Aware Method for Gas Lift Allocation in IoT-Based Industries Using a Chemical Reaction-Based Optimization Algorithm Save