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1 Ergebnisse
1
Design of Covid19 Detection Based On Relative Eccentric Fea..:
, In:
2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)
,
Karthik, G.M.
;
Mary Joshitta, Shantha
;
R, Rajesh
... - p. 1027-1033 , 2022
Link:
https://doi.org/10.1109/IIHC55949.2022.10060368
RT T1 <cTitle>2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC)</cTitle>: T1 <Title>Design of Covid19 Detection Based On Relative Eccentric Feature Selection Using Deep Vectored Regressive Neural Network for Corona Virus</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10060368&Exemplar=1&LAN=DE A1 Karthik, G.M. A1 Mary Joshitta, Shantha A1 R, Rajesh A1 Manjulatha, B. A1 Chung, Jun-ki A1 Gagnani, Lokesh P YR 2022 K1 COVID-19 K1 Deep learning K1 Pandemics K1 Design methodology K1 Neural networks K1 Feature extraction K1 Classification algorithms K1 Covid19 K1 Relative Eccentric Feature Selection (REFS) K1 preliminary process K1 Deep Vectorized Regressive Neural Network (DVRNN K1 Deep Learning SP 1027 OP 1033 LK http://dx.doi.org/https://doi.org/10.1109/IIHC55949.2022.10060368 DO https://doi.org/10.1109/IIHC55949.2022.10060368 SF ELIB - SuUB Bremen
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