K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data

Documents similaires

• Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
  par: Liu, Zesheng, et autres
  Publié: (2024)
• Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
  par: Liu, Zesheng, et autres
  Publié: (2024)
• ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
  par: Liu, Zesheng, et autres
  Publié: (2025)
• GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
  par: Liu, Zesheng, et autres
  Publié: (2025)
• Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
  par: Koo, Younghyun, et autres
  Publié: (2023)