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Integrated approach for arsenic prediction and health risk evaluation in community tube wells installed by public health department: comparative study of random forest, extreme gradient boosting, and deep neural networks

Crossref DOI link: https://doi.org/10.1007/s10653-026-03150-7

Published Online: 2026-04-07

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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