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An Application of Deep Learning YOLOv5 Framework to Intelli..:
, In:
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
,
Truong, Thanh Le
;
Le, Ngoc Thien
;
Benjapolakul, Watit
- p. 1-4 , 2022
Link:
https://doi.org/10.1109/ITC-CSCC55581.2022.9894862
RT T1
2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
: T1
An Application of Deep Learning YOLOv5 Framework to Intelligent Radio Spectrum Monitoring
UL https://suche.suub.uni-bremen.de/peid=ieee-9894862&Exemplar=1&LAN=DE A1 Truong, Thanh Le A1 Le, Ngoc Thien A1 Benjapolakul, Watit YR 2022 K1 Training K1 Deep learning K1 Sensitivity K1 Computational modeling K1 Object detection K1 Servers K1 Integrated circuit modeling K1 Electrosense K1 YOLO K1 Spectrum monitoring K1 Signal-to-Noise Ratio (SNR) K1 Radio spectrogram SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ITC-CSCC55581.2022.9894862 DO https://doi.org/10.1109/ITC-CSCC55581.2022.9894862 SF ELIB - SuUB Bremen
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