Ehsan Eftekhari-Zadeh

About Ehsan Eftekhari-Zadeh

Ehsan Eftekhari-Zadeh, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Friedrich-Schiller-Universität Jena, specializes in the field of Physics, Photonics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sub-0.3 volt amorphous metal WNx based NEMS switch with 8 trillion cycles

An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions

Using ANN and combined capacitive sensors to predict the void fraction for a two-phase homogeneous fluid independent of the liquid phase type

An experimental and simulation study for comparison of the sensitivity of different non-destructive capacitive sensors in a stratified two-phase flow regime

Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic

Introducing the effective features using the particle swarm optimization algorithm to increase accuracy in determining the volume percentages of three-phase flows

Experimental study of void fraction measurement using a capacitance-based sensor and ANN in two-phase annular regimes for different fluids

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 …

Ehsan Eftekhari-Zadeh Information

University

Position

Institute of Optics and Quantum Electronics

Citations(all)

630

Citations(since 2020)

561

Cited By

128

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Ehsan Eftekhari-Zadeh Skills & Research Interests

Physics

Photonics

Top articles of Ehsan Eftekhari-Zadeh

Sub-0.3 volt amorphous metal WNx based NEMS switch with 8 trillion cycles

Frontiers in Materials

2024/1/12

An Intelligent Approach to Determine Component Volume Percentages in a Symmetrical Homogeneous Three-Phase Fluid in Scaled Pipe Conditions

Symmetry

2023/5/23

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Using ANN and combined capacitive sensors to predict the void fraction for a two-phase homogeneous fluid independent of the liquid phase type

Processes

2023/3/20

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

An experimental and simulation study for comparison of the sensitivity of different non-destructive capacitive sensors in a stratified two-phase flow regime

Electronics

2023/3/8

Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic

2023/2/23

Introducing the effective features using the particle swarm optimization algorithm to increase accuracy in determining the volume percentages of three-phase flows

Processes

2023/1/11

Experimental study of void fraction measurement using a capacitance-based sensor and ANN in two-phase annular regimes for different fluids

Axioms

2023/1/7

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 …

Applied Artificial Intelligence

2023/12/31

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Application of MLP neural network to predict X-ray spectrum from tube voltage, filter material, and filter thickness used in medical imaging systems

Plos one

2023/12/7

Jie He
Jie He

H-Index: 12

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Xu Guoqiang
Xu Guoqiang

H-Index: 2

Utilizing Artificial Neural Networks and Combined Capacitance-Based Sensors to Predict Void Fraction in Two-Phase Annular Fluids Regardless of Liquid Phase Type

IEEE Access

2023/12/5

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Combination of a Nondestructive Testing Method with Artificial Neural Network for Determining Thickness of Aluminum Sheets Regardless of Alloy’s Type

Electronics

2023/11/2

Complex diagnostic and numerical study of x-ray and particle emissions under relativistic ultra-short laser-solid interaction

Physica Scripta

2023/10/19

Application of the Fourier Transform to Improve the Accuracy of Gamma-Based Volume Percentage Detection System Independent of Scale Thickness

Separations

2023/10/7

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Intelligent measuring of the volume fraction considering temperature changes and independent pressure variations for a two-phase homogeneous fluid using an 8-electrode sensor …

Sensors

2023/8/5

A novel smart optimized capacitance-based sensor for annular two-phase flow metering with high sensitivity

IEEE Access

2023/5/31

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Using Ant Colony Optimization as a Method for Selecting Features to Improve the Accuracy of Measuring the Thickness of Scale in an Intelligent Control System

Processes

2023/5/26

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Enhanced Multiphase Flow Measurement Using Dual Non-Intrusive Techniques and ANN Model for Void Fraction Determination

Processes

2022/11/11

Gholam Hossein Roshani
Gholam Hossein Roshani

H-Index: 19

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Developing a model based on the radial basis function to predict the compressive strength of concrete containing fly ash

Buildings

2022/10/19

Ijaz Ahmad
Ijaz Ahmad

H-Index: 1

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Increasing the Accuracy and Optimizing the Structure of the Scale Thickness Detection System by Extracting the Optimal Characteristics Using Wavelet Transform

Separations

2022/10/5

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

Application of Artificial Intelligence for Determining the Volume Percentages of a Stratified Regime’s Three-Phase Flow, Independent of the Oil Pipeline’s Scale Thickness

Processes

2022/10/2

Ehsan Eftekhari-Zadeh
Ehsan Eftekhari-Zadeh

H-Index: 6

See List of Professors in Ehsan Eftekhari-Zadeh University(Friedrich-Schiller-Universität Jena)

Co-Authors

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