Water quality event detection based on Multivariate empirical mode decomposition
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6960119/6973862/06974329.pdf?arnumber=6974329
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A hybrid machine learning approach for enhanced anomaly detection in drinking water quality;International Journal of Environmental Studies;2024-02-09
2. Analyzing the Potability of Water using Machine Learning Algorithm;2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT);2022-07
3. Improving Water Quality Assessment through Anomaly Detection Using Hybrid Convolutional Neural Network Approach;Global NEST: the international Journal;2021-12-20
4. Accessing Imbalance Learning Using Dynamic Selection Approach in Water Quality Anomaly Detection;Symmetry;2021-05-07
5. Outlier Detection of Water Quality Data Using Ensemble Empirical Mode Decomposition;Journal of Korean Society of Environmental Engineers;2021-04-07
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