Results 41 to 50 of about 800 (115)
Ultrafast current imaging by Bayesian inversion
Nature Communications, 2018 Scanning probe microscopy is widely used to characterize material properties with atomic resolution, yet electronic property mapping is normally constrained by slow data acquisition. Somnath et al.
S. Somnath +10 more
doaj +1 more source
Single-hydrophone Bayesian matched-field geoacoustic inversiona) [PDF]
JASA Express LettersThis paper presents Bayesian matched-field geoacoustic inversion results based on measurements from a single hydrophone. To efficiently compute the posterior distribution, we employ an adaptive Metropolis–Hastings sampling strategy, which dynamically ...
Yongsung Park +3 more
doaj +1 more source
Characterizing statistical properties of solutions of inverse problems is essential for decision making. Bayesian inversion offers a tractable framework for this purpose, but current approaches are computationally unfeasible for most realistic imaging applications in the clinic. We introduce two novel deep learning based methods for solving large-scale
Adler, Jonas, Öktem, Ozan
openaire +3 more sources
Discontinuous transtensional rupture during the Mw 7.2 1995 Gulf of Aqaba earthquake
SeismicaThe Gulf of Aqaba earthquake occurred on 22 November 1995 in the Northern Red Sea and is the largest instrumentally recorded earthquake in the region to date. The event was extensively studied during the initial years following its occurrence.
Hannes Vasyura-Bathke +5 more
doaj +1 more source
地质科技通报Objective In geothermal exploration, a clay cap is a typical hydrothermal geothermal system, and its depth and distribution range can provide crucial information for delineating the scope of geothermal resources and determining the location of geothermal
Yue ZHU +5 more
doaj +1 more source
Finding patterns in subsurface using Bayesian machine learning approach
Underground Space, 2020 Stochastic simulation approaches and uncertainty quantification are usually adopted for gaining insight into variability in soil stratigraphy configurations.
Hui Wang
doaj +1 more source
TektonikaThe calculation of spatial derivatives of the lithosphere surface velocity field has become a routine task in geosciences. It provides a continuous description of strain rates characteristics (dilation, rotation, strain rate intensity, etc) and ...
Marianne Métois +4 more
doaj +1 more source
The Bayesian Approach to Inverse Robin Problems
SIAM/ASA Journal on Uncertainty QuantificationIn this paper we investigate the Bayesian approach to inverse Robin problems. These are problems for certain elliptic boundary value problems of determining a Robin coefficient on a hidden part of the boundary from Cauchy data on the observable part. Such a nonlinear inverse problem arises naturally in the initialisation of large-scale ice sheet models
Aksel K. Rasmussen +3 more
openaire +4 more sources
Bayesian Inversion of Geoelectrical Resistivity Data [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003 SummaryEnormous quantities of geoelectrical data are produced daily and often used for large scale reservoir modelling. To interpret these data requires reliable and efficient inversion methods which adequately incorporate prior information and use realistically complex modelling structures.
Andersen, Kim Emil +2 more
openaire +2 more sources
Variational Bayesian inversion for microwave breast imaging
Computer Assisted Methods in Engineering and Science, 2017 Microwave imaging is considered as a nonlinear inverse scattering problem and tackled in a Bayesian estimation framework. The object under test (a breast affected by a tumor) is assumed to be composed of compact regions made of a restricted number of ...
Leila Gharsalli +3 more
doaj +1 more source