Order Article Reprints

Chang Y-C, Lin C-H, Dmitriev AV, Hsieh M-C, Hsu H-W, Lin Y-C, Mendoza MM, Huang G-H, Tsai L-C, Li Y-H, et al. State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere. Sensors. 2022; 22(7):2758. https://doi.org/10.3390/s22072758

Chang, Yu-Chi, 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, and et al. 2022. "State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere" Sensors 22, no. 7: 2758. https://doi.org/10.3390/s22072758

Chang, Y.-C., Lin, C.-H., Dmitriev, A. V., Hsieh, M.-C., Hsu, H.-W., Lin, Y.-C., Mendoza, M. M., Huang, G.-H., Tsai, L.-C., Li, Y.-H., & Tsogtbaatar, E. (2022). State-of-the-Art Capability of Convolutional Neural Networks to Distinguish the Signal in the Ionosphere. Sensors, 22(7), 2758. https://doi.org/10.3390/s22072758