Ensemble Learning Improves the Efficiency of Microseismic Signal Classification in Landslide Seismic Monitoring. [PDF]
Xin B, Huang Z, Huang S, Feng L.
europepmc +1 more source
Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines. [PDF]
Han Z +5 more
europepmc +1 more source
Dynamic model of microseismic signal transformation
A.V. Bakai, B.I. Rybalko
openaire +1 more source
High-Precision Coal Mine Microseismic P-Wave Arrival Picking via Physics-Constrained Deep Learning. [PDF]
Qin K, Deng Z, Li X, Lian Z, Ye J.
europepmc +1 more source
Robust Phase Association and Simultaneous Arrival Picking for Downhole Microseismic Data Using Constrained Dynamic Time Warping. [PDF]
Wang T, Li L, Wen S, Lv Y, Yu Z, He C.
europepmc +1 more source
High-Precision Waveform Stacking Location Method for Microseismic Events Based on S-Transform. [PDF]
Zhao H +6 more
europepmc +1 more source
A prediction model for microseismic signals based on kernel extreme learning machine optimized by Harris Hawks algorithm. [PDF]
Zhu W +5 more
europepmc +1 more source
Improved first arrival picking of microseismic P-waves in coal mines using multi-denoising and adaptive characteristic functions. [PDF]
Zhang Y +5 more
europepmc +1 more source
Dynamic characteristics analysis of periodic weighting under different advancement speeds based on microseismic-ground pressure coupled monitoring. [PDF]
Peng Y, Li Q.
europepmc +1 more source
Early-warning method for rock bursts based on the fractal characteristics of microseismic source. [PDF]
Wu Y, Zhu Z, Chen K, Lv F.
europepmc +1 more source

