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Survival Study on Different Water Quality Prediction Methods Using Machine Learning
Author(s) -
K. Kalaivanan,
J. Vellingiri
Publication year - 2022
Publication title -
nature, environment and pollution technology/nature, environment and pollution technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.154
H-Index - 11
eISSN - 2395-3454
pISSN - 0972-6268
DOI - 10.46488/nept.2022.v21i03.032
Subject(s) - water quality , urbanization , quality (philosophy) , water resources , variety (cybernetics) , machine learning , computer science , agriculture , data collection , artificial intelligence , geography , mathematics , ecology , statistics , philosophy , archaeology , epistemology , biology

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