Deep learning-based forecast and warning of floods in Klang River, Malaysia
Long short-term memory (LSTM) networks are state of the art technique for time-series sequence learning. They are less commonly applied to the hydrological engineering area especially for river water level time-series data for flood warning and forecasting systems. This paper examines an LSTM networ...
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| Format: | Article |
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International Information and Engineering Technology Association
2020
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