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Parameters of Water to be Predicted using Regression Analys..:
, In:
2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)
,
Sharma, Bhawna
;
Kaur, Harsimran
- p. 970-976 , 2022
Link:
https://doi.org/10.1109/SMART55829.2022.10046732
RT T1
2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)
: T1
Parameters of Water to be Predicted using Regression Analysis
UL https://suche.suub.uni-bremen.de/peid=ieee-10046732&Exemplar=1&LAN=DE A1 Sharma, Bhawna A1 Kaur, Harsimran YR 2022 SN 2767-7362 K1 Biological system modeling K1 Linear regression K1 Stochastic processes K1 Water quality K1 Predictive models K1 Market research K1 Data models K1 Water Sample Analysis K1 Regression Model K1 LASSO Regression K1 ANN K1 SVM K1 KNN SP 970 OP 976 LK http://dx.doi.org/https://doi.org/10.1109/SMART55829.2022.10046732 DO https://doi.org/10.1109/SMART55829.2022.10046732 SF ELIB - SuUB Bremen
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