Gholam Hossein Roshani

About Gholam Hossein Roshani

Gholam Hossein Roshani, With an exceptional h-index of 30 and a recent h-index of 26 (since 2020), a distinguished researcher at Kermanshah University of Technology, specializes in the field of Applied Radiation, Gamma Gauging, AI, Cognitive Games.

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

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

Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters

A methodology for analysis and prediction of volume fraction of two-phase flow using particle swarm optimization and group method of data handling neural network

Intelligent measurement of void fractions in homogeneous regime of two phase flows independent of the liquid phase density changes

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

Simulation Study of the Application of Hilbert Transform in Two-phase Flow Parameters Measurements using Gamma-ray Absorption

Using particle swarm optimization and artificial intelligence to select the appropriate characteristics to determine volume fraction in two-phase flows

Investigating the Impact of Gamification on the Consumer Buying Behavior using Artificial Neural Network

Gholam Hossein Roshani Information

University

Position

___

Citations(all)

2971

Citations(since 2020)

2433

Cited By

1095

hIndex(all)

30

hIndex(since 2020)

26

i10Index(all)

54

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Gholam Hossein Roshani Skills & Research Interests

Applied Radiation

Gamma Gauging

AI

Cognitive Games

Top articles of Gholam Hossein Roshani

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

Investigation of Time-Domain Feature Selection and GMDH Neural Network Application for Determination of Volume Percentages in X-Ray-Based Two-Phase Flow Meters

MAPAN

2023/3

A methodology for analysis and prediction of volume fraction of two-phase flow using particle swarm optimization and group method of data handling neural network

Mathematics

2023/2/11

Gholam Hossein Roshani
Gholam Hossein Roshani

H-Index: 19

Intelligent measurement of void fractions in homogeneous regime of two phase flows independent of the liquid phase density changes

Fractal and Fractional

2023/2/10

Gholam Hossein Roshani
Gholam Hossein Roshani

H-Index: 19

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

Simulation Study of the Application of Hilbert Transform in Two-phase Flow Parameters Measurements using Gamma-ray Absorption

Advances in IT and Electrical Engineering

2023/6/26

Gholam Hossein Roshani
Gholam Hossein Roshani

H-Index: 19

Ehsan Nazemi
Ehsan Nazemi

H-Index: 1

Marcin Zych
Marcin Zych

H-Index: 11

Using particle swarm optimization and artificial intelligence to select the appropriate characteristics to determine volume fraction in two-phase flows

Fractal and Fractional

2023/3/24

Gholam Hossein Roshani
Gholam Hossein Roshani

H-Index: 19

Ahmed S. Salama
Ahmed S. Salama

H-Index: 13

Investigating the Impact of Gamification on the Consumer Buying Behavior using Artificial Neural Network

Journal of Business Management

2022/12/22

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

Modeling the impact of Covid-19’s stress and resilience on job burnout using Radial Basis Functions-Artificial Neural Network The case of knowledge-based companies

Research in Production and Operations Management

2022/6/22

Enhanced Gamma-Ray Attenuation-Based Detection System Using an Artificial Neural Network

Photonics

2022/5/26

Increasing efficiency of two-phase flowmeters using frequency-domain feature extraction and neural network in the detector output spectrum

Journal of Modeling in Engineering

2021/12/22

A miniaturizing method for designing a Gysel power divider

Electromagnetics

2021/11/17

Gholam Hossein Roshani
Gholam Hossein Roshani

H-Index: 19

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

Polymers

2021/10/23

Proposing an intelligent dual-energy radiation-based system for metering scale layer thickness in oil pipelines containing an annular regime of three-phase flow

Mathematics

2021/9/26

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 …

Journal of Nondestructive Evaluation

2021/6

Simulation study of utilizing X-ray tube in monitoring systems of liquid petroleum products

Processes

2021/5/9

Feasibility study of using X-ray tube and GMDH for measuring volume fractions of annular and stratified regimes in three-phase flows

Symmetry

2021/4/6

Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products

Nuclear Engineering and Technology

2021/4/1

Design and Construction of Zana Robot for Modeling Human Player in Rock-paper-scissors Game using Multilayer Perceptron, Radial basis Functions and Markov Algorithms

ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY

2021/3/8

See List of Professors in Gholam Hossein Roshani University(Kermanshah University of Technology)

Co-Authors

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