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MOHAMMADMEHDI ROSHANI
MOHAMMADMEHDI ROSHANI
Islamic Azad University
在 duytan.edu.vn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter
M Roshani, MA Sattari, PJM Ali, GH Roshani, B Nazemi, E Corniani, ...
Flow Measurement and Instrumentation 75, 101804, 2020
1582020
Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline’s scale layer thickness
M Roshani, GTT Phan, PJM Ali, GH Roshani, R Hanus, T Duong, ...
Alexandria Engineering Journal 60 (1), 1955-1966, 2021
1432021
Proposing a gamma radiation based intelligent system for simultaneous analyzing and detecting type and amount of petroleum by-products
M Roshani, G Phan, RH Faraj, NH Phan, GH Roshani, B Nazemi, ...
Nuclear Engineering and Technology 53 (4), 1277-1283, 2021
1292021
Combination of X-ray tube and GMDH neural network as a nondestructive and potential technique for measuring characteristics of gas-oil–water three phase flows
M Roshani, G Phan, GH Roshani, R Hanus, B Nazemi, E Corniani, ...
Measurement 168, 108427, 2021
1282021
Intelligent recognition of gas-oil-water three-phase flow regime and determination of volume fraction using radial basis function
GH Roshani, E Nazemi, MM Roshani
Flow Measurement and Instrumentation 54, 39-45, 2017
1242017
Flow regime independent volume fraction estimation in three-phase flows using dual-energy broad beam technique and artificial neural network
GH Roshani, E Nazemi, MM Roshani
Neural Computing and Applications 28 (Suppl 1), 1265-1274, 2017
732017
Usage of two transmitted detectors with optimized orientation in order to three phase flow metering
GH Roshani, E Nazemi, MM Roshani
Measurement 100, 122-130, 2017
572017
Identification of flow regime and estimation of volume fraction independent of liquid phase density in gas-liquid two-phase flow
GH Roshani, E Nazemi, MM Roshani
Progress in Nuclear Energy 98, 29-37, 2017
562017
Predicting the effect of fly ash on concrete’s mechanical properties by ann
MM Roshani, SH Kargar, V Farhangi, M Karakouzian
Sustainability 13 (3), 1469, 2021
532021
Prediction of the load-bearing behavior of SPSW with rectangular opening by RBF network
MJ Moradi, MM Roshani, A Shabani, M Kioumarsi
Applied Sciences 10 (3), 1185, 2020
462020
A novel method for flow pattern identification in unstable operational conditions using gamma ray and radial basis function
GH Roshani, E Nazemi, MM Roshani
Applied Radiation and Isotopes 123, 60-68, 2017
322017
X-ray tube with artificial neural network model as a promising alternative for radioisotope source in radiation based two phase flowmeters
M Roshani, PJM Ali, GH Roshani, B Nazemi, E Corniani, NH Phan, ...
Applied Radiation and Isotopes 164, 109255, 2020
252020
Modelling of mechanical properties of roller compacted concrete containing RHA using ANFIS
EK Vahidi, MM Malekabadi, A Rezaei, MM Roshani, GH Roshani
Computers and Concrete 19 (4), 435-442, 2017
212017
Performance comparison of capacitance-based flowmeter with gamma-ray attenuation-based two-phase flowmeter for determining volume fractions in an annular flow regime’s components
M Roshani, GTT Phan, E Nazemi, E Eftekhari-Zadeh, NH Phan, ...
The European Physical Journal Plus 136, 1-12, 2021
132021
Application of radial basis function in densitometry of stratified regime of liquid-gas two phase flows
GH Roshani, E Nazemi, MM Roshani
Radiation Measurements 100, 9-17, 2017
72017
Prediction of Load‐Carrying Capacity in Steel Shear Wall with Opening Using Artificial Neural Network
E Khalilzadeh Vahidi, MM Roshani
Journal of Engineering 2016 (1), 4039407, 2016
52016
Investigation of Mechanical Properties of Three-Component Concrete Containing Microsilica, Slag and Rice Husk Ash and Developing using Artificial Neural Network Method
MM Roshani, SH Kargar
JOURNAL OF STRUCTURAL AND CONSTRUCTION ENGINEERING 9 (7001890), 183-204, 2022
2022
Application of ANN and RBF to Optimize the Properties of the RCC Pavement Containing RHA
EK Vahidi, MM Malekabadi, MM Roshani, GH Roshani, A Rezaei
American Journal of Civil and Environmental Engineering 2 (5), 57-66, 2017
2017
Prediction of load-carrying capacity in steel shear wall with opening using artificial neural network
EK Vahidi, MM Roshani
Journal of Engineering 2016, 2016
2016
A Novel Method for Ion Track Counting in Polycarbonate Detector
GH Roshani, S Roshani, F Shama, S Roshani, MM Roshani
Chinese Journal of Engineering 2013 (1), 286892, 2013
2013
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