Monthly river flow forecasting in Kelantan with ARIMA and deep learning LSTM
This project aims to develop a web-based river flow forecasting system tailored to Malaysian rivers by integrating two prominent time series forecasting models: ARIMA and Long Short-Term Memory (LSTM). The system focuses on Sungai Kelantan and Sungai Sokor, leveraging daily river discharge data sour...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2025
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| Online Access: | http://eprints.utar.edu.my/6956/1/fyp_DE_2025_TXX.pdf http://eprints.utar.edu.my/6956/ |
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