Efficient Water Quality Prediction Using Supervised Machine Learning
Efficient Water Quality Prediction Using Supervised Machine Learning
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Water makes up about 70% of the earth’s surface and is one of the most important sources vital to sustaining life. Rapid urbanization and industrialization have led to a deterioration of water quality at an alarming rate, resulting in harrowing diseases. Water quality has been conventionally estimated through expensive and time-consuming lab and st...
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Full title
Efficient Water Quality Prediction Using Supervised Machine Learning
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Author / Creator
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TN_cdi_proquest_journals_2550475710
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2550475710
Other Identifiers
ISSN
2073-4441
E-ISSN
2073-4441
DOI
10.3390/w11112210
