Lyme-disease 发表于 2025-3-30 09:25:50

Xiaorong Sun,Steve Y. Chiu,Louis Anthony Coxrought together leading researchers from eleven countries for a week-long meeting, with the aim of providing cross-links between the com- nities studying related problems involving elastic and electromagnetic waves in structured materials. After the meeting, participants were invited to submit artic

Meditate 发表于 2025-3-30 13:10:50

lly 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,

排他 发表于 2025-3-30 19:53:03

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Synovial-Fluid 发表于 2025-3-30 21:17:04

John F. Elder IVex variable method. To illustrate the new mathematical algorithm for the fracture analysis of FGPMs, we start with an anti-plane deformation of a cracked piezoelectric body with exponentially varying elastic properties in the direction parallel to the crack plane. First, we establish a perturbation-

平息 发表于 2025-3-31 03:52:22

Jörg Gebhardt,Rudolf Kruseex variable method. To illustrate the new mathematical algorithm for the fracture analysis of FGPMs, we start with an anti-plane deformation of a cracked piezoelectric body with exponentially varying elastic properties in the direction parallel to the crack plane. First, we establish a perturbation-

ARK 发表于 2025-3-31 06:40:05

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occult 发表于 2025-3-31 11:01:31

Pedro Larrañaga,Roberto Murga,Mikel Poza,Cindy Kuijperso 17th July 1996. The objectives were: 1. To review existing experimental results and practical phenomena on the flow and compaction of particulate media; 2. To review the current state of constitutive models, and their implementation for predicting the macroscopic response. 3. Identification of the

triptans 发表于 2025-3-31 13:38:36

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无孔 发表于 2025-3-31 18:30:30

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水汽 发表于 2025-3-31 23:25:23

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