Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models

Author:

Abdi ErfanORCID,Ali MumtazORCID,Santos Celso Augusto GuimarãesORCID,Olusola AdeyemiORCID,Ghorbani Mohammad AliORCID

Publisher

Elsevier BV

Reference81 articles.

1. Prediction of groundwater level in basement complex terrain using artificial neural network: a case of Ijebu-Jesa, southwestern Nigeria;Adiat;Appl. Water Sci.,2020

2. Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA;Aghelpour;Theor. Appl. Climatol.,2019

3. Investigation of land use changes and its relationship with groundwater level Case study: Azarshahr city;Asghari Saraskanrood;Journal of Environmental Science Studies,2021

4. A comparison of statistical methods for evaluating missing data of monitoring wells in the Kazeroun Plain, Fars Province, Iran;Asgharinia;Groundwater for Sustainable Development,2020

5. Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models;Bailly;Comput. Methods Progr. Biomed.,2022

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