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Titlebook: Learning from Data; Artificial Intellige Doug Fisher,Hans-J. Lenz Book 1996 Springer-Verlag New York, Inc. 1996 Bayesian network.Likelihood

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the occurrence of a surprising phenomenon. When the crack depth is of the order of a wavelength or larger, and the compressive stress is lower than a characteristic value, a significant increase of the reflected signal is predicted theoretically and observed experimentally. The purpose of this work
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H. Blaulates. Different Lamb modes generate various stress and displacement profiles in the plate. These stress and displacement components are altered by the internal defects, and thus the defects are detected. All Lamb modes are not equally sensitive to a particular defect. A number of studies have been
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Ali Jenzarliservation times at a fixed receiver. Even the divergence effects of dipping interfaces of wedge-type layers are perfectly included by proper coordinate rotations and the exact ”seismograms” are observed at a point receiver from any source located at the hypocenter. These nontrivial technique relies
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Alberto Lekuona,Beatriz Lacruz,Pilar Lasalally of slow-scale macroscopic changes or trends, modulated by rapid variations due to fine scale layering. The rapidly varying resistivity fluctuations are significant in amplitude and occur over small spatial scales, down to the resolution of the logging tool. Using a plane stratified earth model,
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Liping Liully of slow-scale macroscopic changes or trends, modulated by rapid variations due to fine scale layering. The rapidly varying resistivity fluctuations are significant in amplitude and occur over small spatial scales, down to the resolution of the logging tool. Using a plane stratified earth model,
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Prakash P. Shenoylly of slow-scale macroscopic changes or trends, modulated by rapid variations due to fine scale layering. The rapidly varying resistivity fluctuations are significant in amplitude and occur over small spatial scales, down to the resolution of the logging tool. Using a plane stratified earth model,
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