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Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Developing a New Model for Predicting Specific Energy (SE) for Economic and Environmental Optimization of the Diamond Wire Cutting Operation
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Three-dimensional wake transition of rectangular cylinders and temporal prediction of flow patterns based on a machine learning algorithm
Physics-informed neural networks with rational weighting for treating discontinuities in water flow prediction over irregular geometries