驳船
发表于 2025-3-23 11:53:44
Liping Liuproduced by the effective medium is due to scattering noise arising from the layering microstructure. We model this fine scale layering as a rapidly varying stochastic process. This scattering noise component of MT data is fundamental since it arises from the very structure of the medium being probe
阻挠
发表于 2025-3-23 16:06:03
http://reply.papertrans.cn/59/5830/582931/582931_12.png
咽下
发表于 2025-3-23 21:12:50
Prakash P. Shenoyproduced by the effective medium is due to scattering noise arising from the layering microstructure. We model this fine scale layering as a rapidly varying stochastic process. This scattering noise component of MT data is fundamental since it arises from the very structure of the medium being probe
娘娘腔
发表于 2025-3-24 00:02:36
Xiaorong Sun,Steve Y. Chiu,Louis Anthony Coxmicrostructured system. Also included are studies of homogenisation, that field which seeks to determine equivalent homogeneous systems which can give equivalent wave properties to structured materials, and inverse problems, in which waves are used as a probe to infer structural details concerning s
欢腾
发表于 2025-3-24 03:18:05
http://reply.papertrans.cn/59/5830/582931/582931_15.png
mortuary
发表于 2025-3-24 06:35:27
John F. Elder IVt the effect of electric fields on crack propagation in the FGPMs is qualitatively the same as that in a homogeneous piezoelectric material, i.e., the gradual variation of material does not change the propagation tendencies of cracks under an electric field.
药物
发表于 2025-3-24 13:41:40
Jörg Gebhardt,Rudolf Kruset the effect of electric fields on crack propagation in the FGPMs is qualitatively the same as that in a homogeneous piezoelectric material, i.e., the gradual variation of material does not change the propagation tendencies of cracks under an electric field.
创造性
发表于 2025-3-24 16:43:30
http://reply.papertrans.cn/59/5830/582931/582931_18.png
lymphedema
发表于 2025-3-24 20:16:51
Using Causal Knowledge to Learn More Useful Decision Rules From Dataion trees can be validated by methods such as cross-validation (Breiman et al., 1984), and they can easily be modified to handle missing data by constructing rules that exploit only the information contained in the observed variables.
Invigorate
发表于 2025-3-25 00:21:48
http://reply.papertrans.cn/59/5830/582931/582931_20.png