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1 Ergebnisse
1
Machine Learning and Multiple Imputation Approach to Predic..:
Hae-Ran Kim
;
Ho Young Soh
;
Myeong-Taek Kwak
.
https://www.mdpi.com/2073-4441/14/12/1862. , 2022
Link:
https://doi.org/10.3390/w14121862
RT Journal T1
Machine Learning and Multiple Imputation Approach to Predict Chlorophyll- a Concentration in the Coastal Zone of Korea
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:6b50ce1c04f94f5ba09a9eebc2a56fef&Exemplar=1&LAN=DE A1 Hae-Ran Kim A1 Ho Young Soh A1 Myeong-Taek Kwak A1 Soon-Hee Han PB MDPI AG YR 2022 K1 missing values K1 multiple imputation K1 multivariate imputation by chained equation (MICE) K1 machine learning K1 chlorophyll- a K1 model accuracy metrics K1 Hydraulic engineering K1 TC1-978 K1 Water supply for domestic and industrial purposes K1 TD201-500 JF https://www.mdpi.com/2073-4441/14/12/1862 LK http://dx.doi.org/https://doi.org/10.3390/w14121862 DO https://doi.org/10.3390/w14121862 SF ELIB - SuUB Bremen
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