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1 Ergebnisse
1
XGBoost Based Machine Learning Techniques for Water Quality..:
, In:
2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)
,
Roshan, S. Patric
;
Edwin, E. Bijolin
;
Thanka, M. Roshni
... - p. 364-369 , 2023
Link:
https://doi.org/10.1109/ICCPCT58313.2023.10244964
RT T1 <cTitle>2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)</cTitle>: T1 <Title>XGBoost Based Machine Learning Techniques for Water Quality Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10244964&Exemplar=1&LAN=DE A1 Roshan, S. Patric A1 Edwin, E. Bijolin A1 Thanka, M. Roshni A1 Ebenezer, V. A1 Joy, R. Priscilla A1 S, Stewart Kirubakaran YR 2023 K1 Support vector machines K1 Training K1 Machine learning algorithms K1 Water quality K1 Machine learning K1 Predictive models K1 Classification algorithms K1 SVM K1 Naive Bayes K1 XGBoost K1 WQI K1 weighted arithmetic index method K1 SMOTE SP 364 OP 369 LK http://dx.doi.org/https://doi.org/10.1109/ICCPCT58313.2023.10244964 DO https://doi.org/10.1109/ICCPCT58313.2023.10244964 SF ELIB - SuUB Bremen
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