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Predicting Tensile Properties of UV Degraded Nylon66/Polyester Woven Fabric Using Regression and Artificial Neural Network Models
Dehydration behaviour mathematical modelling energy efficiency and essential oil yield of peppermint leaves undergoing microwave and hot air treatments
A finite element model for extension and shear modes of piezo-laminated beams based on von Karman s nonlinear displacement-strain relation
A finite element model for extension and shear modes of piezo-laminated beams based on von Karman s nonlinear displacement-strain relation
A finite element model for extension and shear modes of piezo-laminated beams based on von Karman s nonlinear displacement-strain relation
Modeling and Optimization of Precipitation Hardening Heat Treatment Factors of the Al2024 Alloy Using a Two-Level Full Factorial Design
Design model for shear capacity of RC beams strengthened with two-side CFRP wraps based on effective FRP strain concept
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
Modelling Field-scale cadmium Transport below the Root Zone of a Sewage Sludge Amended Soil in Arid Region in Central Iran
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
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
Comparing artificial neural network and multivariate linear regression models to predict soil organic carbon using digital terrain attributes