Predicting blast-induced slope stability using a hybrid field-monitoring and machine learning surrogate model
This study evaluates the impact of mine production blasts on ubiquitous jointed slopes using field data and three machine learning algorithms: an ensemble of trees (LSBoost), Gaussian Process Regression (GPR), and Support Vector Machines (SVM). Rather than relying on pure data driven approach, this study develops predi...