2024
DOI: 10.1016/j.aej.2023.11.046
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Incorporating novel input variable selection method for in the different water basins of Thailand

Muhammad Waqas,
Usa Wannasingha Humphries,
Angkool Wangwongchai
et al.
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Cited by 7 publications
(1 citation statement)
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“…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.…”
Section: Introductionmentioning
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%