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Isfahan University of Technology
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Prof. Mohammad Dinari
Active Microwave Circuits Design
Lashkarbolouk Hadi
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EFFECTS OF MARINE CONDITION ON THE SPEED AND FUEL CONSUMPTION OF A FULLY LOADED VLCC
Chemical characteristics and composition of hydrothermal biotite from the Dalli porphyry copper prospect Arak central province of Iran
chemical composition of biotite in CU Au bearing volcanoplutonic at Dalli Iran implication for hydrothermal fluid fugacity ratios
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Soil chemical characteristics influenced by selected lichen and moss species, a case study from an arid region of Iran
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
2016-Atrian.M.
Graduate Students
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