Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
A reliable model to predict the changes in the water levels in a river is crucial for better planning to mitigate any risk associated with flooding. In this study, six different Machine Learning (ML) algorithms were developed to predict the river�s water level, on a daily basis based on collected da...
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Main Authors: | , , , , , , , |
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Format: | Article |
Published: |
Taylor and Francis Ltd.
2023
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Institution: | Universiti Tenaga Nasional |