Machine Learning For Groundwater Quality Classification: A Step Towards Economic and Sustainable Groundwater Quality Assessment Process
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-023-03690-y.pdf
Reference22 articles.
1. Abuzir SY, Abuzir YS (2022) Machine learning for water quality classification. Water Qual Res J 57. https://doi.org/10.2166/wqrj.2022.004
2. Alexakis D, Tsihrintzis VA, Tsakiris G, Gikas GD (2016) Suitability of water quality indices for application in lakes in the mediterranean. Water Resour Manag 30. https://doi.org/10.1007/s11269-016-1240-y
3. Biswas AK, Tortajada C (2019) Water quality management: a globally neglected issue. Int J Water Resour Dev 35:913–916. https://doi.org/10.1080/07900627.2019.1670506
4. Boser BE, Guyon IM, Vapnik VN (1992) A training algorithm for optimal margin classifiers. Proceedings of the fifth annual workshop on computational learning theory (pp 144–152)
5. Breiman L (2001) Random forests. Mach Learn 45:5–32
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