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1 Ergebnisse
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Voting Classification Approach for Covid-19 Prediction with..:
, In:
2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)
,
Sharma, Neha
;
Kumari, Deeksha
- p. 147-151 , 2022
Link:
https://doi.org/10.1109/ICTACS56270.2022.9988385
RT T1 <cTitle>2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)</cTitle>: T1 <Title>Voting Classification Approach for Covid-19 Prediction with K-mean and PCA</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9988385&Exemplar=1&LAN=DE A1 Sharma, Neha A1 Kumari, Deeksha YR 2022 K1 COVID-19 K1 Support vector machines K1 Radio frequency K1 Machine learning algorithms K1 Clustering algorithms K1 Feature extraction K1 Prediction algorithms K1 Covid-19 K1 Voting Classifier K1 K-mean K1 PCA SP 147 OP 151 LK http://dx.doi.org/https://doi.org/10.1109/ICTACS56270.2022.9988385 DO https://doi.org/10.1109/ICTACS56270.2022.9988385 SF ELIB - SuUB Bremen
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