M. Liu, J. Narciso, D. Grana, E. Van De Vijver, and L. Azevedo, 2023, Frequency-domain electromagnetic induction for the prediction of electrical conductivity and magnetic susceptibility using ...
Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...
Ensemble Kalman Inversion (EKI) is a computational framework aimed at addressing inverse problems – the process of inferring unknown parameters or functions from observable data. In an inverse problem ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback