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Prediction of a model to demonstrate the effect of structural parameter of polyurethane (PU) membrane on N2 O2 CO2 and CH4 permeability via adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)
Prediction of a model to demonstrate the effect of structural parameter of polyurethane (PU) membrane on N2 O2 CO2 and CH4 permeability via adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)
Ehsan Yazdian
Dr. G. Reza Yousefi
مقالات کنفرانسی
Dr.Mohammad Sadegh Fazel
Industrial Management & Economics (IME)_3-91-2
Aftertreatment of direct dyes on wool and nylon 6 with synthesized syntan and syntan/cationic agent
Conference Papers
Workshops
Hollow fiber-based liquid-liquid-liquid microextraction followed by flow ingection analysis with diode array detector(FIA-DAD) using non -column HPLC system for rapid determination of phenazopyridine in biological samples
Simulation of the effects of climate change, crop pattern change, and developing irrigation systems on the groundwater resources by SWAT, WEAP and MODFLOW models: a case study of Fars province, Iran: A Case Study of Fars Province, Iran
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Immobilization of pyrene-tagged metal complexes onto solid supports by π-stacking interactions: syntheses and applications E Sanaei, G Mohammadnezhad Q1, Materials Advances 6 (22), 8277-8336
Dr. Samaneh Hosseini