Assessing the impact of missing data on water quality index estimation: a machine learning approach
Abstract Despite the regulations and controls implemented worldwide by governments and institutions to ensure the availability and quality of water resources, many water sources remain susceptible to contamination. This contamination poses significant risks to human health and can lead to substantia...
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| Format: | Article |
| Language: | English |
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Springer
2024-03-01
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| Series: | Discover Water |
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| Online Access: | https://doi.org/10.1007/s43832-024-00068-y |