A deep learning-based combination method of spatio-temporal prediction for regional mining surface subsidence. [PDF]
Sci RepXiao Y, Tao Q, Hu L, Liu R, Li X.
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High-precision monitoring and prediction of mining area surface subsidence using SBAS-InSAR and CNN-BiGRU-attention model. [PDF]
Sci RepZhu M +7 more
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Study on the linkage mechanism between key strata fracture in overburden and surface subsidence during caving mining in extra-thick coal seams. [PDF]
Sci RepLan T +5 more
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Integrated high-precision monitoring method for surface subsidence in mining areas using D-InSAR, SBAS, and UAV technologies. [PDF]
Sci RepZhu M, Yu X, Tan H, Yuan J.
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Prediction of Surface Subsidence in Mining Areas Based on Ascending-Descending Orbits Small Baseline Subset InSAR and Neural Network Optimization Models. [PDF]
Sensors (Basel)Chang K, Zhao Z, Zhou D, Tian Z, Wang C.
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How Angular Mismatch and Surface Topography in Modular Head-Stem Taper Junctions in Total Hip Replacements Affects Fretting-Corrosion and Motion Under Uni-Axial Loading. [PDF]
Sensors (Basel)Wade A +6 more
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Assessment of land subsidence and future flood hazards for coastal cities of the Gulf of Mexico using time series InSAR. [PDF]
Nat Hazards (Dordr)Yuan Y, Wang L.
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Slab tearing and its surface signals controlled by passive margin strength. [PDF]
Nat CommunMaiti G +4 more
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A novel fine-scale identification method for coal mining subsidence basin based on TS-InSAR and subsidence curve characteristics. [PDF]
Sci RepHuang S +6 more
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