A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia

• Main Authors: Hanoon M.S., Abdullatif B A.A., Ahmed A.N., Razzaq A., Birima A.H., El-Shafie A.
• Other Authors: 57266877500
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2023
• Institution: Universiti Tenaga Nasional

comparative study; machine learning; river system; sensitivity analysis; suspended load; suspended sediment; water resource; Johor; Johor River; Krakatau; Lampung; Malaysia; Panjang; West Malaysia