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1 Ergebnisse
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Using Unevenly Spaced Time Series Data Set in a Convolution..:
, In:
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
,
Docdocil, Christian G.
;
Espinosa, Horlanz Myer I.
;
Villaverde, Jocelyn F.
- p. 1-5 , 2021
Link:
https://doi.org/10.1109/HNICEM54116.2021.9731939
RT T1
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
: T1
Using Unevenly Spaced Time Series Data Set in a Convolutional Reconstruction Autoencoder Algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-9731939&Exemplar=1&LAN=DE A1 Docdocil, Christian G. A1 Espinosa, Horlanz Myer I. A1 Villaverde, Jocelyn F. YR 2021 K1 Training K1 Seismic measurements K1 Storms K1 Time series analysis K1 Tsunami K1 Data models K1 Time measurement K1 evenly spaced time series K1 unevenly spaced time series K1 convolutional reconstruction autoencoder model K1 mean absolute error SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/HNICEM54116.2021.9731939 DO https://doi.org/10.1109/HNICEM54116.2021.9731939 SF ELIB - SuUB Bremen
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