Machine learning prediction of groundwater arsenic contamination using water quality parameters in the coastal region of Bangladesh.
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| Title: | Machine learning prediction of groundwater arsenic contamination using water quality parameters in the coastal region of Bangladesh. |
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| Authors: | Ullah F; Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh., Ismail M; Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh., Basak JK; Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh. jk.basak@nstu.edu.bd., Paudel B; Future Regions Research Centre, Ararat Jobs and Technology Precinct, Federation University, Mount Helen, VIC, 3350, Australia., Ahmed S; Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh., Khan AS; Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh. |
| Source: | Environmental geochemistry and health [Environ Geochem Health] 2025 Dec 22; Vol. 48 (2), pp. 64. Date of Electronic Publication: 2025 Dec 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8903118 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2983 (Electronic) Linking ISSN: 02694042 NLM ISO Abbreviation: Environ Geochem Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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