Machine learning techniques for flood forecasting
Climate change resulted in dramatic change in the monsoon precipitation rates in Malaysia, contributing to repetitive flooding events. This research examines different substantial practicalities of machine learning (ML) in performing high-performance and accurate FF. The case study was The Dungun Ri...
Saved in:
Main Authors: | Hadi F.A.A., Sidek L.M., Salih G.H.A., Basri H., Sammen S.Sh., Dom N.M., Ali Z.M., Ahmed A.N. |
---|---|
Other Authors: | 59047541300 |
Format: | Article |
Published: |
IWA Publishing
2025
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real Time Impact Based Flood Forecasting (IBF) for Tropical Rivers: A Case Study in Dungun River Basin
by: Alkareem F.A., et al.
Published: (2024) -
Application of Stochastic Flood Forecasting Model Using Regression Method for Kelantan Catchment
by: Osman S., et al.
Published: (2023) -
2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin
by: Azad W.H., et al.
Published: (2023) -
Biological Kinetic Model Design and Development for Low-Loading River Water Treatment Plant (RWTP)
by: Mohiyaden H.A., et al.
Published: (2024) -
Flood forecasting and early warning system for Dungun River Basin
by: Hafiz I., et al.
Published: (2023)