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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
A Comparative Analysis of Machine Learning Models for Predicting Groundwater and Surface Water in a Stressed Semi-Arid Watershed: The Khanmirza Case Study
Predicting Rock Hardness Using Measurement While Drilling (MWD) Data in a Case Study of Rotary Drilling in an Open-Pit Mine
A comparative analysis of machine learning models for predicting groundwater and surface water in a stressed semi-arid watershed: The Khanmirza case study
Integrating proximal sensing data (soil spectra and magnetic susceptibility) with the common covariates to predict soil carbon pools in semiarid regions
Covariate selection approaches in spatial prediction of soil quality indices using machine learning models at the watershed scale, west of Iran
Enhancing the Predictive Performance of Molecularly Imprinted Polymer-Based Electrochemical Sensors Using a Stacking Regressor Ensemble of Machine Learning Models
Dr.Mohammad Sadegh Fazel
Industrial Experience
Biography 39
H. Gholizadeh Manghutay
Saeed Khanbabapour
Numerical study of two operator splitting localized radial basis function method for Allen-Cahn problem
مقالات
Persian ISC Journal Papers
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