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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
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)
Comparison of linear and non-linear calibration models for non-destructive firmness determining of Mazafati date fruit by Near Infrared spectroscopy
Comparison of linear and non-linear calibration models for non-destructive firmness determining of Mazafati date fruit by Near Infrared spectroscopy
Probabilistic seismic demand model and fragility estimates for critical failure modes of un-anchored steel storage tanks in petroleum complexes
Platinum recovery from model media and a Pt Sn/alumina spent catalyst extract using corn husk-based adsorbent
Free transverse vibration analysis of circular and annular graphene sheets with various boundary conditions using the nonlocal continuum plate model
Extraction of epigallocatechin-3-gallate from green tea via supercritical fluid technology Neural network modeling and response surface optimization
Application of Taguchi and Full Factorial Experimental Design to Model the Color Yield of Cotton Fabric Dyed with Six Selected Direct Dyes
Application of Taguchi and Full Factorial Experimental Design to Model the Color Yield of Cotton Fabric Dyed with Six Selected Direct Dyes
Numerical study of convective heat transfer and fluid flow around two side by side square cylinders using turbulence model
Predicting Tensile Properties of UV Degraded Nylon66/Polyester Woven Fabric Using Regression and Artificial Neural Network Models