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1 Ergebnisse
1
A Machine Learning Strategy to Detect COVID-19 by Inspectin..:
, In:
2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)
,
P, Arun
;
S, Madhukumar
;
P, Careena
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/AICERA/ICIS59538.2023.10420233
RT T1 <cTitle>2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)</cTitle>: T1 <Title>A Machine Learning Strategy to Detect COVID-19 by Inspecting the Statistical Significance of Standard Deviation of Sound Samples of Healthy, Covid and Post Covid Conditions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10420233&Exemplar=1&LAN=DE A1 P, Arun A1 S, Madhukumar A1 P, Careena A1 P. R, Sreesh A1 M, Anto YR 2023 K1 COVID-19 K1 Support vector machines K1 Training K1 Feature extraction K1 Time-domain analysis K1 Standards K1 Testing K1 ANOVA K1 Box-plot K1 normalization K1 pre-processing K1 machine learning K1 statistical significance K1 SVM K1 time domain features SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AICERA/ICIS59538.2023.10420233 DO https://doi.org/10.1109/AICERA/ICIS59538.2023.10420233 SF ELIB - SuUB Bremen
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