Water Level Prediction of Riam Kanan Dam Using ConvLSTM, BPNN, Gradient Boosting, and XGBoosting Stacking Framework (CLBGXGBoostS)
Research focuses on developing a water level prediction framework for the Riam Kanan Dam using an innovative stacking approach called ConvLSTM-BPNN-Gradient Boosting and Stacking XGBoost (CLBGXGBoostS), which combines the strengths of Convolutional Long Short-Term Memory (ConvLSTM), Backpropagati...
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Main Authors: | , , , |
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Format: | Article |
Language: | English English |
Published: |
INTI International University
2024
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Subjects: | |
Online Access: | http://eprints.intimal.edu.my/2052/1/jods2024_53.pdf http://eprints.intimal.edu.my/2052/2/593 http://eprints.intimal.edu.my/2052/ http://ipublishing.intimal.edu.my/jods.html |
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