most cited(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network

51 citations · 83 across the 2 of their papers we have counts for

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physics.geo-ph2021★ 32 cited

1D Stochastic Inversion of Airborne Time-domain Electromag-netic Data with Realistic Prior and Accounting for the Forward Modeling Error

Peng Bai, Giulio Vignoli, Thomas Mejer Hansen

Airborne electromagnetic surveys may consist of hundreds of thousands of soundings. In most cases, this makes 3D inversions unfeasible even when the subsurface is characterized by…

physics.geo-ph2020★ 51 cited

(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network

Peng Bai, Giulio Vignoli, Andrea Viezzoli +2

The possibility to have results very quickly after, or even during, the collection of electromagnetic data would be important, not only for quality check purposes, but also for adj…