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Resources Mentioned in the Video:
▪️ GitHub repo with First Break Picking solution http://github.com/DaloroAT/first_break_picking
▪️ Yu, S., & Ma, J. (2021). Deep learning for geophysics: Current and future trends. Reviews of Geophysics, 59, e2021RG000742. https://doi.org/10.1029/2021RG000742
▪️ Yuanyuan Ma, Siyuan Cao, James W. Rector, and Zhishuai Zhang, (2019),
"Automatic first arrival picking for borehole seismic data using a pixel-level network,"
SEG Technical Program Expanded Abstracts : 2463-2467.
https://www.researchgate.net/publication/335104415_Automatic_first_arrival_picking_for_borehole_seismic_data_using_a_pixel-level_network
▪️ Yuan, P., Wang, S., Hu, W., Wu, X., Chen, J., & Van Nguyen, H. (2020).
A Robust First-Arrival Picking Workflow Using Convolutional and Recurrent Neural Networks.
GEOPHYSICS, 1–44. http://mr.crossref.org/iPage?doi=10.1190%2Fgeo2019-0437.1
▪️ Wu, Xinming & Liang, Luming & Shi, Yunzhi & Geng, Zhicheng & Fomel, Sergey. (2019).
Multi-task learning for local seismic image processing: fault detection, structure-oriented
smoothing with edge-preserving, and seismic normal estimation by using a single convolutional neural network. Geophysical Journal International. https://www.researchgate.net/publication/335884040_Multi-task_learning_for_local_seismic_image_processing_fault_detection_structure-oriented_smoothing_with_edge-preserving_and_seismic_normal_estimation_by_using_a_single_convolutional_neural_network.
▪️ Yu, S., Ma, J., & Wang, W. (2019). Deep learning for denoising. GEOPHYSICS, 1–107. http://mr.crossref.org/iPage?doi=10.1190%2Fgeo2018-0668.1
▪️ Chai, X., Gu, H., Li, F. et al. Deep learning for irregularly and regularly missing data reconstruction. Sci Rep 10, 3302 (2020) https://doi.org/10.1038/s41598-020-59801-x