Predicting river water height using deep learning-based features

Predicting river water height using deep learning-based features

The paper presents the river height prediction model using real-world historical sensor data such as rainfall, cumulative rainfall, and river water heights. The study evaluates using a Support Vector Regression, a Long Short-Term Memory, and a combination of a Long Short-Term Memory as the feature e...

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Bibliographic Details
Main Authors: Punyanuch Borwarnginn, Jason H. Haga, Worapan Kusakunniran
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:ICT Express
Subjects:
Water level prediction
Deep learning
Support Vector Regression
LSTM
Feature extraction
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959522000534

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http://www.sciencedirect.com/science/article/pii/S2405959522000534

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