Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal

In the pursuit of understanding surface water quality for sustainable urban management, we created a machine learning modeling framework that utilized Random Forest (RF), Cubist, Extreme Gradient Boosting (XGB), Multivariate Adaptive Regression Splines (MARS), Gradient Boosting Machine (GBM), Suppor...

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Bibliographic Details
Main Authors: Singha, Chiranjit, Bhattacharjee, Ishita, Sahoo, Satiprasad, Abdelrahman, Kamal, Uddin, Md Galal, Fnais, Mohammed S., Govind, Ajit, Abioui, Mohamed
Format: Journal Article
Language:Inglés
Published: Elsevier 2024
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Online Access:https://hdl.handle.net/10568/173356

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