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Developing a new rock classification based on the abrasiveness hardness and toughness of rocks and PA for the prediction of hard dimension stone sawability in quarrying
Predicting the Building Stone Cutting Rate Based on Rock Properties and Device Pullback Amperage in Quarries Using M5P Model Tree
EXPERIMENTAL AND NUMERICAL INVESTIGATION OF THE DEEP DRAWING PROCESS FOR AN AUTOMOBILE PANEL AND PREDICTION OF APPROPRIATE AMOUNT OF PARAMETERS BY MULTI-LAYER NEURAL NETWORK
Comparison of artificial neural network and multiple linear regression efficiency for predicting soil salinity in Yazd-Ardekan plain central Iran
Artificial Neural Network Models for Production of Nano-Grained Structure in AISI 304L Stainless Steel by Predicting Thermo-Mechanical Parameters
Artificial Neural Network Models for Production of Nano-Grained Structure in AISI 304L Stainless Steel by Predicting Thermo-Mechanical Parameters
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
Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship
Application of QSPR for prediction of percent conversion of esterification reactions in supercritical carbon dioxide using least squares support vector regression
Application of QSPR for prediction of percent conversion of esterification reactions in supercritical carbon dioxide using least squares support vector regression
Prediction and assessment of drought effects on surface water quality using artificial neural networks case study of Zayandehrud River Iran
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