Behavior of unsaturated sandy loess under high-frequency unilateral cyclic loading. [PDF]
Jiang Z, Shen B, Gao J, Xie D, Han Z.
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Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
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An Improved SBAS-InSAR Processing Method Considering Phase Consistency: Application to Landslide Monitoring in Hualong County, Qinghai Province, China. [PDF]
Luo W +8 more
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A felszínmozgás zónájában előforduló üledékes kőzetek ásványos összetételének és fizikai tulajdonságainak vizsgálata Kulcs területén [PDF]
Deák, Zs. V. +14 more
core
Effect of the dry-wet cycle on the mechanical properties of Ili loess with different mica contents. [PDF]
Ma J +6 more
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Landslide susceptibility assessment via the information value-coupled machine learning models. [PDF]
Wang Y, Zhang Z, Yu X, Liu C.
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Sensitivity analysis of VG model parameters for infiltration in undisturbed loess under ponding conditions using the HYDRUS-1D model. [PDF]
Wang X, Huang Z, Qin H, Dai F.
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Revealing asperity-controlled failure patterns in landslides: A case study of Hushuo Expressway, Inner Mongolia. [PDF]
Yuan-Hao X, Chi L, Shuan-Hu L, Yu G.
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