Predicting scale deposition in oil reservoirs using machine learning optimization algorithms

Enhancing groundwater quality assessment in coastal area: A hybrid modeling approach

“…KNN's efficacy hinges on careful parameter selection and GPR may encounter computational challenges with large datasets [ 49 , 50 ]. The SVM/SVR may exhibit sensitivity to kernel choice and requires meticulous tuning [ 51 , 52 ]. Although XGBoost is substantially robust, it demands careful consideration of hyperparameters.…”