Classification and Prediction of Developed Water Quality Indexes Using Soft Computing Tools
Author:
Funder
Department of Science and Technology , New Delhi.
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s41101-023-00190-3.pdf
Reference60 articles.
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3. Adelodun B et al (2021) Assessment of socioeconomic inequality based on virus-contaminated water usage in developing countries: a review. Environ Res 192:110309
4. Asgari G, Komijani E, Seid A, Mohammadi, and Khazaei M (2021) “Assessment the quality of bottled drinking water through Mamdani fuzzy water quality index”. Water Resources Manag 35(15):5431–52.https://doi.org/10.1007/s11269-021-03013-z
5. Babbar R and Babbar S (2017) “Predicting river water quality index using data mining techniques”. Environ Earth Sci 76(14):1–15. https://link.springer.com/article/10.1007/s12665-017-6845-9. Accessed 22 Aug 2022
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