Uncertainty Quantification in Intelligent-Based Electrical Resistivity Tomography Image Reconstruction with Monte Carlo Dropout Strategy.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING(2023)
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
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined