Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)
Abstract Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water sources. Concurrently, a water quality index (WQI) requires some water quality parameters. Conventionally, WQI computation consumes time and is often found with various errors during subindex calcul...
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| Main Authors: | , , , |
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| Format: | article |
| Language: | EN |
| Published: |
SpringerOpen
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/899f15adc69d42de8663ca7c9dfb3cb3 |
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