A Neural Network Architecture Based on Attention Gate Mechanism for 3D Magnetotelluric Forward Modeling

Documenti analoghi

• EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
  di: Wang, Feng, et al.
  Pubblicazione: (2025)
• Inversion of Magnetotelluric Data using Bayesian Neural Networks
  di: Poddar, Dhruv, et al.
  Pubblicazione: (2025)
• 3D Controlled‐source electromagnetic modelling in anisotropic media using secondary potentials and a cascadic multigrid solver
  di: Kejia Pan, et al.
  Pubblicazione: (2024)
• 3D Prior Electrical Resistivity Model Building for Magnetotelluric Inversion Using Neural Network Algorithm to the Kevitsa Mineral Deposit, Finland
  di: Cuong Van Anh Le, et al.
  Pubblicazione: (2025)
• SigGate: Enhancing Recurrent Neural Networks with Signature-Based Gating Mechanisms
  di: Genet, Rémi, et al.
  Pubblicazione: (2025)