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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
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National Conference Papers
Ghafelehbashi, Seyed Amir Hosein (M.S) - سید امیر حسین قافله باشی
Free-Surface Hydrodynamic Analysis of Floating Offshore Structures(FOS) using Multiphase Flow Modeling
Determining resistance coefficient for series 60 vessels using numerical and experimental modelling
Project Planning & Control
Investigation of Microstructural Textures in Al-TiAl3 Nanocomposites Fabricated Through Cold Roll Bonding-Annealing-ARB and Cold Roll Bonding-ARB-Annealing Processes
Investigation of Microstructural Textures in Al-TiAl3 Nanocomposites Fabricated Through Cold Roll Bonding-Annealing-ARB and Cold Roll Bonding-ARB-Annealing Processes
Sono-assisted Synthesis of MgAl-layered Double Hydroxide Nanosheet/multiwalled Carbon Nanotube Filler for the Fabricating of L-isoleucine Amino Acid Based Polymer Nanocomposites
Sono-assisted Synthesis of MgAl-layered Double Hydroxide Nanosheet/multiwalled Carbon Nanotube Filler for the Fabricating of L-isoleucine Amino Acid Based Polymer Nanocomposites
The fabrication and characterization of nanocomposites containing new poly(amide-imide) based on 4 4-methylenebis(3-chloro-2 6-diethyl trimellitimidobenzene) and carboxylic acid-functionalized multiwalled carbon nanotubes