Results 211 to 220 of about 37,962 (266)
Some of the next articles are maybe not open access.
‘Inverse’ temporomandibular joint dislocation
International Journal of Oral and Maxillofacial Surgery, 2011Temporomandibular joint (TMJ) dislocation can be classified into four groups (anterior, posterior, lateral, and superior) depending on the direction of displacement and the location of the condylar head. All the groups are rare except for anterior dislocation.
R M, Alemán Navas +1 more
openaire +2 more sources
Joint inversion: a structural approach
Inverse Problems, 1997The authors propose a methodology to invert two data sets when the underlying models are linked by having structural similarity. A semi-norm that measures difference in structure is introduced and joint inversion is carried out by minimizing this penalty function subject to adequately fitting the data.
Haber, E., Oldenburg, D.
openaire +2 more sources
Joint inversion of well‐log data
SEG Technical Program Expanded Abstracts 2009, 2009We consider the processing of well log data, in which the measurements taken at a reservoir level (fluid filled porous rock) give the properties of the compound medium. From a collection of noisy well log measurements, it is desired to estimate the parameters characterizing the formation, namely the porosity and the volume ratio of the individual fluid
MIOTTI, FABIO MARCO +2 more
openaire +2 more sources
Joint Gaussian processes for inverse modeling
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017Solving inverse problems is central in geosciences and remote sensing. Very often a mechanistic physical model of the system exists that solves the forward problem. Inverting the implied radiative transfer model (RTM) equations numerically implies, however, challenging and computationally demanding problems.
Daniel Heestermans Svendsen +3 more
openaire +1 more source
Joint Inversion on Irregular Meshes
24th European Meeting of Environmental and Engineering Geophysics, 2018The design of structural coupling operators for joint inversion on irregular meshes is a non-trivial task. We propose to use a neighbourhood approach to calculate the model-gradients that are needed for the cross-gradients coupling constraints. Our joint inversion algorithm is applied to 3D synthetic crosshole GPR traveltime and apparent resistivity ...
C. Jordi +3 more
openaire +1 more source
A hybrid joint‐inversion scheme
SEG Technical Program Expanded Abstracts 2011, 2011s, 719–723. Backus, G. E., 1962, Long-wave elastic anisotropy produced by horizontal layering: Journal of Geophysical Research, 67, no. 11, 4427–4440, doi:10.1029/JZ067i011p04427. Chen, J., and T. A. Dickens, 2009, Effects of uncertainty in rock-physics models on reservoir parameter estimation using seismic amplitude variation with angle and controlled-
Charlie Jing +7 more
openaire +1 more source
Model Fusion and Joint Inversion
Surveys in Geophysics, 2013Inverse problems are inherently non-unique, and regularization is needed to obtain stable and reasonable solutions. The regularization adds information to the problem and determines which solution, out of the infinitely many, is obtained. In this paper, we review and discuss the case when a priori information exists in the form of either known ...
Eldad Haber, Michal Holtzman Gazit
openaire +1 more source
2022
<div> <p><span>The Earth crust represents less than 1% of the volume of our planet but is exceptionally important as it preserves the signs of the geological events that shaped our planet. This thin layer is the place where the natural resources we need can be accessed (e.g.&#160; critical raw materials,
Martina Capponi, Daniele Sampietro
openaire +1 more source
<div> <p><span>The Earth crust represents less than 1% of the volume of our planet but is exceptionally important as it preserves the signs of the geological events that shaped our planet. This thin layer is the place where the natural resources we need can be accessed (e.g.&#160; critical raw materials,
Martina Capponi, Daniele Sampietro
openaire +1 more source
2002
Ambiguous dependence of observed data related to lithologic parameters suggests that both deterministic mechanism and statistical behaviour characterize practical lithologic inversion problems. The Caianiello neural network method is presented in this paper, including neural wavelet estimation, input signal reconstruction, and nonlinear factor ...
openaire +1 more source
Ambiguous dependence of observed data related to lithologic parameters suggests that both deterministic mechanism and statistical behaviour characterize practical lithologic inversion problems. The Caianiello neural network method is presented in this paper, including neural wavelet estimation, input signal reconstruction, and nonlinear factor ...
openaire +1 more source