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Published in 2022 at "Journal of water and health"
DOI: 10.2166/wh.2022.015
Abstract: This paper presents a machine learning approach for classification of arsenic (As) levels as safe and unsafe in groundwater samples collected from the Indo-Gangetic region. As water is essential for sustaining life, heavy metals like…
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Keywords:
optimized forest;
water;
machine learning;
groundwater ... See more keywords