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Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy

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This study aims to integrate a broad spectrum of ocean-atmospheric variables to predict sea level variation along West Peninsular Malaysia coastline using machine learning and deep learning techniq... Click to show full abstract

This study aims to integrate a broad spectrum of ocean-atmospheric variables to predict sea level variation along West Peninsular Malaysia coastline using machine learning and deep learning techniq...

Keywords: using arima; sea level; prediction using; ocean atmospheric; level prediction

Journal Title: Geomatics, Natural Hazards and Risk
Year Published: 2021

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