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Cited by
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Since 2019
Citations
27
27
h-index
2
2
i10-index
1
1
0
22
11
2023
2024
21
6
Public access
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Co-authors
Ehsan Nazemi
1-University of Southampton, Southampton, UK, 2-Department of Physics, Antwerp University, Belgium
Verified email at soton.ac.uk
Ehsan Eftekhari-Zadeh
Institute of Optics and Quantum Electronics, Friedrich Schiller University Jena
Verified email at uni-jena.de
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Mohammad Hossein Shahsavari
Electrical Engineering Department,
Kermanshah University of Technology
Verified email at smail.kut.ac.ir
Artificial Intelligence
Deep Learning
Oil and Gas
Computer Vision
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Year
Experimental study of void fraction measurement using a capacitance-based sensor and ANN in two-phase annular regimes for different fluids
A Veisi, MH Shahsavari, GH Roshani, E Eftekhari-Zadeh, E Nazemi
Axioms 12 (1), 66
, 2023
18
2023
An experimental and simulation study for comparison of the sensitivity of different non-destructive capacitive sensors in a stratified two-phase flow regime
MH Shahsavari, A Veisi, GH Roshani, E Eftekhari-Zadeh, E Nazemi
Electronics 12 (6), 1284
, 2023
8
2023
An optimised and novel capacitance-based sensor design for measuring void fraction in gas–oil two-phase flow systems
AM Iliyasu, MH Shahsavari, AS Benselama, E Nazemi, AS Salama
Nondestructive Testing and Evaluation, 1-17
, 2024
1
2024
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