Prediction of groundwater levels using a long short-term memory (LSTM) technique

The precise prediction of groundwater levels is a challenging task due to the complex relationships between hydrological parameters and the lack of in situ climate data. The present research proposed an integrated machine learning model for groundwater level prediction based on long short-term memor...

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Veröffentlicht in:	Journal of hydroinformatics 2025-01, Vol.27 (1), p.51-68
Hauptverfasser:	Thakur, Abhinav, Chandel, Abhishish, Shankar, Vijay
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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