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1 Ergebnisse
1
State-of-the-Art Capability of Convolutional Neural Network..:
Chang, Yu-Chi
;
Lin, Chia-Hsien
;
Dmitriev, Alexei V.
...
Sensors. 22 (2022) 7 - p. 2758 , 2022
Link:
https://doi.org/10.3390/s22072758
RT Journal T1
State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_s22072758&Exemplar=1&LAN=DE A1 Chang, Yu-Chi A1 Lin, Chia-Hsien A1 Dmitriev, Alexei V. A1 Hsieh, Mon-Chai A1 Hsu, Hao-Wei A1 Lin, Yu-Ciang A1 Mendoza, Merlin M. A1 Huang, Guan-Han A1 Tsai, Lung-Chih A1 Li, Yung-Hui A1 Tsogtbaatar, Enkhtuya PB MDPI AG YR 2022 SN 1424-8220 JF Sensors VO 22 IS 7 SP 2758 LK http://dx.doi.org/https://doi.org/10.3390/s22072758 DO https://doi.org/10.3390/s22072758 SF ELIB - SuUB Bremen
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