XGBoost Based Machine Learning Techniques for Water Quality Prediction
Author:
Affiliation:
1. Karunya Institute of Technology and Sciences,Computer Science and Engineering,Coimbatore,India,641114
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244767/10244778/10244964.pdf?arnumber=10244964
Reference10 articles.
1. Water Quality Index Classification based on machine learning: A case from langat river basin model;iza;WATER,2022
2. Intelligent model for predicting water quality;ashwini;the proceedings of International Journal of Advanced Research Ideas and Innovation in Technology,0
3. Water Quality Prediction Based on LSTM and Attention Mechanism: A Case Study of the Burnett River, Australia
4. A Machine Learning-Based Water Potability Prediction Model by Using Synthetic Minority Oversampling Technique and Explainable AI
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