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Modulated electrical field as a new pulse method to make TiO2 film for high- performance photo-electrochemical cells and modeling of the deposition process
Artificial neural network and adaptive neuro-fuzzy interface system modeling of Supercritical CO2 extraction of glycyrrhizic acid from Glycyrrhiza glabra L.
Novel artificial neural network model for evaluating hardness of stir zone of submerge friction stir processed Al 6061-T6 plate
Novel artificial neural network model for evaluating hardness of stir zone of submerge friction stir processed Al 6061-T6 plate
Comparison of three methods ofANN ANFIS and Time Series Models to predict ground water levels. (Case study North Mahyar plain)
APPLICATION OF CONCENTRATION-NUMBER AND CONCENTRATION-VOLUME FRACTAL MODELS TO RECOGNIZE MINERALIZED ZONES IN NORTH ANOMALY IRON ORE DEPOSIT CENTRAL IRAN
APPLICATION OF CONCENTRATION-NUMBER AND CONCENTRATION-VOLUME FRACTAL MODELS TO RECOGNIZE MINERALIZED ZONES IN NORTH ANOMALY IRON ORE DEPOSIT CENTRAL IRAN
Modeling Pb (II) adsorption from aqueous solution by ostrich bone ash using adaptive neural-based fuzzy inference system
Modeling Pb (II) adsorption from aqueous solution by ostrich bone ash using adaptive neural-based fuzzy inference system
Modeling Pb (II) adsorption from aqueous solution by ostrich bone ash using adaptive neural-based fuzzy inference system
Pseudo-polynomial dynamic programming for an integrated due date assignment resource allocation production and distribution scheduling model in supply chain scheduling
Pseudo-polynomial dynamic programming for an integrated due date assignment resource allocation production and distribution scheduling model in supply chain scheduling
Dynamic Modeling and Simulation of an Induction Motor with Adaptive Backstepping Design of an Input- Output Feedback Linearization Controller in Series Hybrid Electric Vehicle
Predicting potential mineralization using surface geochemical data and multiple linear regression model in the Kuh Panj porphyry Cu mineralization (Iran)
Predicting potential mineralization using surface geochemical data and multiple linear regression model in the Kuh Panj porphyry Cu mineralization (Iran)
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