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1 Ergebnisse
1
Design of COVID19 Detection based on Relative Eccentric Fea..:
, In:
2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)
,
Mishra, Saket
;
Mantri, Archana
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICICACS57338.2023.10099777
RT T1 <cTitle>2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)</cTitle>: T1 <Title>Design of COVID19 Detection based on Relative Eccentric Feature Selection using Deep Vectorized Regressive Neural Network for Corona Virus</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10099777&Exemplar=1&LAN=DE A1 Mishra, Saket A1 Mantri, Archana YR 2023 K1 COVID-19 K1 Integrated circuits K1 Deep learning K1 Pandemics K1 Design methodology K1 Neural networks K1 Feature extraction K1 COVID19 K1 Relative Eccentric Feature Selection (REFS) K1 preliminary process K1 Deep Vectorized Regressive Neural Network (DVRNN K1 Deep Learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICICACS57338.2023.10099777 DO https://doi.org/10.1109/ICICACS57338.2023.10099777 SF ELIB - SuUB Bremen
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