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Extraction of epigallocatechin-3-gallate from green tea via supercritical fluid technology Neural network modeling and response surface optimization
Predicting Tensile Properties of UV Degraded Nylon66/Polyester Woven Fabric Using Regression and Artificial Neural Network Models
Predicting Tensile Properties of UV Degraded Nylon66/Polyester Woven Fabric Using Regression and Artificial Neural Network Models
Predicting the Hairiness and Coefficient of Variation of Elastic Core-spun Yarns Produced on Sirofil-Spinning System using Artificial Neural Network
Predicting the Hairiness and Coefficient of Variation of Elastic Core-spun Yarns Produced on Sirofil-Spinning System using Artificial Neural Network
A Model for the Estimation of Yield and Investigation on Factors Affecting Irrigated Wheat Production in Various Tillage Methods (Using Artificial Neural Networks)
A Model for the Estimation of Yield and Investigation on Factors Affecting Irrigated Wheat Production in Various Tillage Methods (Using Artificial Neural Networks)
Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide
Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide
A Novel Analytical-artificial Neural Network Model to Improve Efficiency of High Pressure Descaling Nozzles in Hot Strip Rolling of Steels
Spectrophotometric Determination of Manganese(VII)using Benzyltriphenylphosphoniumchloride as a New Reagent and Application of Artificial Neural Network for Extending The Dynamic Range of determinatio
Comparing artificial neural network and multivariate linear regression models to predict soil organic carbon using digital terrain attributes
Predicting Mechanical Properties of Cold Rolled Low Carbon Steel Based on Magnetic Parameter Measurement using Artificial Neural Network
Predicting Mechanical Properties of Cold Rolled Low Carbon Steel Based on Magnetic Parameter Measurement using Artificial Neural Network
Optimizing Hub-And-Spoke Networks Under Demand Uncertainty: A Stochastic Capacitated Single Allocation P-Hub Covering Model with Lagrangian Relaxation
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