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2019
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2019
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L. Han, J. Sun, and W. Zhang, “Convolutional neural network for convective storm nowcasting using 3-d doppler weather radar data,” IEEE Transactions on Geoscience and Remote Sensing , vol. 58, no. 2, pp. 1487–1495, 2019
2019
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2020
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2020
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2020
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2020
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2022
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2022
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2022
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2022
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K. Dai, X. Li, Y. Ye, S. Feng, D. Qin, and R. Ye, “Mstcgan: Multiscale time conditional generative adversarial network for long-term satellite image sequence prediction,” IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1–16, 2022
2022
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C. Bai, F. Sun, J. Zhang, Y. Song, and S. Chen, “Rainformer: Features extraction balanced network for radar-based precipitation nowcasting,” IEEE Geoscience and Remote Sensing Letters , vol. 19, pp. 1–5, 2022
2022
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2022
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2023
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2023
Closest in time.
Z. Yang, H. Wu, Q. Liu, X. Liu, Y. Zhang, and X. Cao, “A self-attention integrated spatiotemporal lstm approach to edge-radar echo extrapolation in the internet of radars,” ISA transactions , vol. 132, pp. 155–166, 2023
2023
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W. Fang, L. Pang, V. S. Sheng, and Q. Wang, “Stunner: Radar echo extrapolation model based on spatio-temporal fusion neural network,” IEEE Transactions on Geoscience and Remote Sensing , 2023
2023
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A. Gong, R. Li, B. Pan, H. Chen, G. Ni, and M. Chen, “Enhancing spatial variability representation of radar nowcasting with generative adversarial networks,” Remote Sensing , vol. 15, no. 13, p. 3306, 2023
2023
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S. Chen, S. Ren, G. Wang, M. Huang, and C. Xue, “Interpretable cnn-multilevel attention transformer for rapid recognition of pneumonia from chest x-ray images,” IEEE Journal of Biomedical and Health Informatics , 2023
2023
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