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"State-of-the-Art Capability of Convolutional Neural Networks to ..."

Yu-Chi Chang et al. (2022)

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DOI: 10.3390/S22072758

access: open

type: Journal Article

metadata version: 2022-05-18

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  dblp key:
  - journals/sensors/ChangLDHHLMHTLT22
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  - https://dblp.org/rec/journals/sensors/ChangLDHHLMHTLT22
Yu-Chi Chang, Chia-Hsien Lin, Alexei V. Dmitriev, Mon-Chai Hsieh, Hao-Wei Hsu, Yu-Ciang Lin, Merlin M. Mendoza, Guan-Han Huang, Lung-Chih Tsai, Yung-Hui Li, Enkhtuya Tsogtbaatar:
State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere. Sensors 22(7): 2758 (2022)

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