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A comparative analysis of machine learning models for predicting groundwater and surface water in a stressed semi-arid watershed: The Khanmirza case study
Machine learning-based variable importance analysis of soil factors influencing wind erodibility and threshold wind velocity in Central Iran
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
2009 M.Sc. Graduated Behzadi Farank
Papers Presented at National and International Conferences
Call for paper: Special Issue on Human dimensions in wildlife conservation
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Detection of autism spectrum disorder using graph representation learning algorithms and deep neural network, based on fMRI signals
Biography
Drilling-Based Rock Strength Estimation: A Validated Model for Mohr-Coulomb and a New Theoretical-Empirical Approach for Hoek-Brown Parameters
Supervised Students
Books
electrospinning machine
electrospinning machine