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PREDICTION OF PROCESS AND PRODUCT PARAMETERS IN DEEP BED DRYING OF ROUGH RICE USING ARTIFICIAL NEURAL NETWORK
PREDICTION OF PROCESS AND PRODUCT PARAMETERS IN DEEP BED DRYING OF ROUGH RICE USING ARTIFICIAL NEURAL NETWORK
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Calculation of Osmotic Pressure Using a Closed System
National Conference Papers
Tragacanth gum based hydrogel nanocomposites for the adsorption of methylene blue: Comparison of linear and non-linear forms of different adsorption isotherm and kinetics models
Experimental Investigation and Thermodynamic Modeling of Wax Precipitation in Crude Oil Using the Multi-Solid Model and PC-SAFT EOS
Experimental Investigation and Thermodynamic Modeling of Wax Precipitation in Crude Oil Using the Multi-Solid Model and PC-SAFT EOS
Hassan Karimi-Male, 2012
Saba Ghafoori
Milad Esmaieli
INDUSTRIAL GRANTS OBTAINED
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تحت نظارت وف بومی