Results 101 to 110 of about 40,549 (156)
A method for combing multi-beam bathymetric data to correct the deep sea sub-bottom profile. [PDF]
Sci RepDing W, Feng X, Li N, Fang Y.
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The forgotten p-versine and p-coversine family of functions revisited. [PDF]
PLoS OneAlibrahim AH, Das S.
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Maximum Entropy Estimates of Hubble Constant from Planck Measurements. [PDF]
Entropy (Basel)Knobles DP, Westling MF.
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Electrical resistivity imaging data for hydrogeological and geological investigations of Szuszalewo peatland (North-East Poland). [PDF]
Data BriefKaczmarek Ł +5 more
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Inverse Problems: Principles and Applications in Geophysics, Technology, and Medicine
, 1993 Anger, G. +4 more
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Bayesian Gaussian Mixture Linear Inversion in Geophysical Inverse Problems
Proceedings, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dario Grana +2 more
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Geophysical inversion versus machine learning in inverse problems
The Leading Edge, 2018Geophysical inversion and machine learning both provide solutions for inverse problems in which we estimate model parameters from observations. Geophysical inversions such as impedance inversion, amplitude-variation-with-offset inversion, and traveltime tomography are commonly used in the industry to yield physical properties from measured seismic data.
Yuji Kim, Nori Nakata
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Sparsity in Inverse Geophysical Problems
2010Many geophysical imaging problems are ill-posed in the sense that the solution does not depend continuously on the measured data. Therefore, their solutions cannot be computed directly but instead require the application of regularization. Standard regularization methods find approximate solutions with small L 2 norm.
Grasmaier, M. +2 more
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