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Uncertainty Quantification in Intelligent-Based Electrical Resistivity Tomography Image Reconstruction with Monte Carlo Dropout Strategy.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING(2023)

Cited 9|Views20
Key words
Uncertainty,Image reconstruction,Conductivity,Bayes methods,Geophysical measurements,Monte Carlo methods,Data models,Electrical resistivity tomography (ERT) image reconstruction,machine learning (ML),Monte Carlo (MC) dropout (MC-dropout) strategy,quantification of the uncertainty
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