A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm. [PDF]
Sci RepZhu W +5 more
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High-Precision Coal Mine Microseismic P-Wave Arrival Picking via Physics-Constrained Deep Learning. [PDF]
Sensors (Basel)Qin K, Deng Z, Li X, Lian Z, Ye J.
europepmc +1 more source
Dynamic characteristics analysis of periodic weighting under different advancement speeds based on microseismic-ground pressure coupled monitoring. [PDF]
Sci RepPeng Y, Li Q.
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Disaster-causing mechanism and control technology of interlayer rock breakage in gently inclined close distance coal seams mining. [PDF]
Sci RepYuchi X +6 more
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Two-Stage Microseismic P-Wave Arrival Picking via STA/LTA-Guided Lightweight U-Net. [PDF]
Sensors (Basel)Jin J, Wang G, Qiu Y, Gong S, Ren B.
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Swin Transformer Based Recognition for Hydraulic Fracturing Microseismic Signals from Coal Seam Roof with Ultra Large Mining Height. [PDF]
Sensors (Basel)Wang P, Feng Y, Sun X, Cheng X.
europepmc +1 more source
Machine Learning and Deep Learning for Earthquake Monitoring: A Systematic Review of Distributed Acoustic Sensing Applications. [PDF]
Sensors (Basel)Iqbal N +4 more
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Robust Phase Association and Simultaneous Arrival Picking for Downhole Microseismic Data Using Constrained Dynamic Time Warping. [PDF]
Sensors (Basel)Wang T, Li L, Wen S, Lv Y, Yu Z, He C.
europepmc +1 more source
Zonal load transfer controlled by an L-shaped irregular coal pillar and the mechanism of rockburst induced by static-dynamic load superposition. [PDF]
Sci RepZhang R, Gong S, Li H, Lv J.
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Research on computational propagation and identification of mine microseismic signals based on deep learning. [PDF]
PLoS OneLiu D +7 more
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