Coupling Machine and Deep Learning with Explainable Artificial Intelligence for Improving Prediction of Groundwater Quality and Decision-Making in Arid Region, Saudi Arabia

Coupling Machine and Deep Learning with Explainable Artificial Intelligence for Improving Prediction of Groundwater Quality and Decision-Making in Arid Region, Saudi Arabia

Recently, machine learning (ML) and deep learning (DL) models based on artificial intelligence (AI) have emerged as fast and reliable tools for predicting water quality index (WQI) in various regions worldwide. In this study, we propose a novel stacking framework based on DL models for WQI predictio...

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Bibliographic Details
Main Authors: Fahad Alshehri, Atiqur Rahman
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Water
Subjects:
water quality index prediction
deep learning models
stacking framework
explainable artificial intelligence
entropy-based groundwater quality index
Online Access:https://www.mdpi.com/2073-4441/15/12/2298

Internet

https://www.mdpi.com/2073-4441/15/12/2298

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