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Performance Analysis of Machine Learning Techniques for Pre..:
, In:
2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)
,
Tabassum, Sazia
;
Kotnala, C. B.
;
Masih, Raj Kumar
... - p. 372-377 , 2023
Link:
https://doi.org/10.1109/ICSCSS57650.2023.10169408
RT T1 <cTitle>2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)</cTitle>: T1 <Title>Performance Analysis of Machine Learning Techniques for Predicting Water Quality Index using Physiochemical Parameters</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10169408&Exemplar=1&LAN=DE A1 Tabassum, Sazia A1 Kotnala, C. B. A1 Masih, Raj Kumar A1 Shuaib, Mohammed A1 Alam, Shadab A1 Alar, Tariq Mousa YR 2023 K1 Support vector machines K1 Statistical analysis K1 Water quality K1 Machine learning K1 Predictive models K1 Data models K1 Rivers K1 water quality index K1 performance analysis SP 372 OP 377 LK http://dx.doi.org/https://doi.org/10.1109/ICSCSS57650.2023.10169408 DO https://doi.org/10.1109/ICSCSS57650.2023.10169408 SF ELIB - SuUB Bremen
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