Ehsan Eftekhari-Zadeh

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

Ehsan Nazemi, Gholam Hossein Roshani, S.A.H. Feghhi et al. · International Journal of Hydrogen Energy · 2016 · 139 citations

Engineering, Radiation Detection, Physics +8

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

Siavash Hosseini, Osman Taylan, Mona Abusurrah et al. · Polymers · 2021 · 51 citations · Full text

Engineering, Environmental Monitoring, Measurement +23

Application of Neural Network and Time-Domain Feature Extraction Techniques for Determining Volumetric Percentages and the Type of Two Phase Flow Regimes Independent of Scale Layer Thickness

‏Abdullah K. Alanazi, Seyed Mehdi Alizadeh, Karina Shamilyevna Nurgalieva et al. · Applied Sciences · 2022 · 48 citations · Full text

Engineering, Environmental Monitoring, Measurement +21

Application of Gamma Attenuation Technique and Artificial Intelligence to Detect Scale Thickness in Pipelines in Which Two-Phase Flows with Different Flow Regimes and Void Fractions Exist

Mohammed Alamoudi, Mohammad Sattari, Mohammed Balubaid et al. · Symmetry · 2021 · 42 citations · Full text

Artificial Intelligence, Engineering, Measurement +21

Application of artificial neural network in precise prediction of cement elements percentages based on the neutron activation analysis

Ehsan Eftekhari-Zadeh, S.A.H. Feghhi, Gholam Hossein Roshani et al. · The European Physical Journal Plus · 2016 · 39 citations

Cementation, Engineering, Corrosion +7