宣告无效 发表于 2025-3-21 19:22:31
书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0882337<br><br> <br><br>书目名称Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0882337<br><br> <br><br>悲观 发表于 2025-3-21 23:59:48
Surface Waves in Geomechanics: Direct and Inverse Modelling for Soils and Rocks978-3-211-38065-9Series ISSN 0254-1971 Series E-ISSN 2309-3706macular-edema 发表于 2025-3-22 02:56:10
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https://doi.org/10.1007/3-211-38065-5development; engineering; geomechanic; geophysik; material science; materials; mechanics; modeling; object o手榴弹 发表于 2025-3-22 12:39:09
gle numerical algorithm for all methods. It combines conjugate gradients with pseudodifferential operator evaluations in the Fourier domain. Our experiments show that the linear PDE- and the RBF-based communities have developed concepts of comparable quality.渗透 发表于 2025-3-22 15:33:05
Glenn J. Rixopriately treat local structures and semantic information, deep convolutional neural network features are investigated. The resulting model is formulated directly in terms of a variational time discretization developed for the classical metamorphosis model by Berkels, Effland and Rumpf. The key ingrindignant 发表于 2025-3-22 18:21:25
Sebastiano Fotiopriately treat local structures and semantic information, deep convolutional neural network features are investigated. The resulting model is formulated directly in terms of a variational time discretization developed for the classical metamorphosis model by Berkels, Effland and Rumpf. The key ingrAcquired 发表于 2025-3-22 22:16:10
http://reply.papertrans.cn/89/8824/882337/882337_8.pnggospel 发表于 2025-3-23 04:42:06
Eduardo Kauselopriately treat local structures and semantic information, deep convolutional neural network features are investigated. The resulting model is formulated directly in terms of a variational time discretization developed for the classical metamorphosis model by Berkels, Effland and Rumpf. The key ingr使成波状 发表于 2025-3-23 08:21:42
Krzysztof Wilmański-dimensional Gaussian signals and a second one is estimating a circle’s radius and location in random grayscale images of disks. By training various networks, either naive custom designed or well-established ones, with various amounts of training data, we find that networks require tens of thousands