Enhancing co-seismic landslide susceptibility, building exposure, and risk analysis through machine learning. [PDF]
Pyakurel A, K C D, Dahal BK.
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Research on the influence of micro-pile layout of stability of landslide resistance. [PDF]
Li H, Yang M, Lan Z.
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Back analysis for stratigraphic structure of earthquake-induced soft-hard interbedded anti-dip Rannai Paleolandslides on the Southeastern Qinghai-Tibet Plateau. [PDF]
Jia J, Wen B, Zhang Z, Zhao H.
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Research on the problem of spatial heterogeneity in row data and generalization capability for landslide susceptibility assessment using the physics-constrained U-net model. [PDF]
Zhang H, Deng H.
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Shaking table model test and numerical analysis of the steeply dipping bedded rock slopes under seismic actions. [PDF]
Wang C +5 more
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Landslide Hazard Identification and Prediction in Complex Mountainous Areas Using Ascending and Descending Orbits InSAR Technology. [PDF]
Zhao W +6 more
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The Seismic Refraction Survey in Landslide Areas
Some topics of seismic refraction survey in landslides such as an interpretation procedure for a Mirage layer; fan shooting for detecting faults in the bed rock by a short spread of transducers; a wave-front method for interpreting well-to-surface data are herein described referring to case histories of surveys in landslides in Shikoku and Niigata ...
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An integrated multi-hazard assessment using machine learning in the complex terrains of Northern Pakistan. [PDF]
Khan MI +4 more
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Remote sensing-based landslide prediction and risk assessment using a hybrid CNN-LSTM deep learning model. [PDF]
Teng F, Ekraminia SS, Zarei A, Li Y.
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Distribution patterns and formation mechanisms of stable landslide dams in the Qinghai-Tibet plateau: a preliminary study. [PDF]
Song L, Ma L, Chang Z, Wang Y.
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