ActiveGCN-CT: Active Learning-Enhanced Graph Convolutional Networks for Computed Tomography Inversion in Coal Mines
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00603-024-04062-7.pdf
Reference23 articles.
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3. Azarafza M, Azarafza M, Akgün H, Atkinson PM, Derakhshani R (2021) Deep learning-based landslide susceptibility mapping. Sci Rep 11(1):1–16
4. Cai W, Dou LM, Cao AY, Gong SY, Li Z (2014) Application of seismic velocity tomography in underground coal mines: a case study of Yima mining area, Henan, China. J Appl Geophys 109:140–149
5. Cao AY, Dou LM, Cai W, Gong SY, Liu S, Jing G (2015) Case study of seismic hazard assessment in underground coal mining using passive tomography. Int J Rock Mech Min Sci 78:1–9
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