G
Gholam Hossein Roshani
Researcher at Kermanshah University of Medical Sciences
Publications - 75
Citations - 2420
Gholam Hossein Roshani is an academic researcher from Kermanshah University of Medical Sciences. The author has contributed to research in topics: Detector & Artificial neural network. The author has an hindex of 24, co-authored 67 publications receiving 1345 citations. Previous affiliations of Gholam Hossein Roshani include Islamic Azad University & Shahid Beheshti University.
Papers
More filters
Journal ArticleDOI
Flow regime identification and void fraction prediction in two-phase flows based on gamma ray attenuation
TL;DR: In this article, a method based on dual modality densitometry using artificial neural network (ANN) was presented to first identify the flow regime and then predict the void fraction in two-phase flows.
Journal ArticleDOI
Precise Void Fraction Measurement in Two-phase Flows Independent of the Flow Regime Using Gamma-ray Attenuation
Ehsan Nazemi,Seyed Amir Hossein Feghhi,Gholam Hossein Roshani,R. Gholipour Peyvandi,Saeed Setayeshi +4 more
TL;DR: In this paper, a multilayer perceptron neural network was used to predict void fraction in gas-eliquid two-phase flows with a mean relative error of < 1.4%.
Journal ArticleDOI
Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter
M.M. Roshani,Mohammad Amir Sattari,Peshawa Jammal Muhammad Ali,Gholam Hossein Roshani,Behrooz Nazemi,Enrico Corniani,Ehsan Nazemi +6 more
TL;DR: In this article, the group method of data handling (GMDH) technique was applied in order to increase measuring precision of a simple photon attenuation based two-phase flowmeter that has the ability to estimate the gas volumetric percentage in a two phase flow without any dependency to flow regime pattern.
Journal ArticleDOI
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,Seyed Amir Hossein Feghhi,Saeed Setayeshi,E. Eftekhari Zadeh,A. Fatehi +5 more
TL;DR: In this paper, a gamma-ray transmission technique is used to measure the void fraction and identify the flow regime of a two-phase flow using two detectors which were optimized in terms of detector orientation.
Journal ArticleDOI
Precise volume fraction prediction in oil-water-gas multiphase flows by means of gamma-ray attenuation and artificial neural networks using one detector
Gholam Hossein Roshani,Seyed Amir Hossein Feghhi,Ahmad Mahmoudi-Aznaveh,Ehsan Nazemi,A. Adineh-Vand +4 more
TL;DR: A proposed ANN architecture is used to predict the oil, water and air percentage, precisely, based on nuclear technique in annular multiphase regime using only one detector and a dual energy gamma-ray source.