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2022, Mostafa Koushki Graduated
Master students
A New Approach for Predicting the Pressure Drop in Various Types of Metal Foams Using a Combination of CFD and Machine Learning Regression Models
National Conferences
Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree
Cathodic Protection Problems for Gas Pipelines South of Isfahan IRAN
Neural Networks
Neural Networks
International Conferences
Analysis of Fluid Flow and Gas Pressure Drop in a Rotating Packed Bed using CFD
Analysis of Fluid Flow and Gas Pressure Drop in a Rotating Packed Bed using CFD
Otimization of textile parameters and properties
Mohammad Reza Ahmadi Venhari
Artificial Neural Network as an Effective Tool for Predicting Soil Organic Carbon Density in Different Land Uses in Northern Iran
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