Research graph
References from Research on automatic segmentation method of microseismic monitoring signal under low signal-to-noise ratio conditions. Local targets link to admitted publications; unresolved targets remain external evidence.
Current status and difficulties of coal mine rockburst prevention and control in China
2022 · External reference
A study on microseismic monitoring of rockburst in coal mine
2006 · External reference
Research and application of mine microseismic signal processing based on joint PKO-VMD with wavelet threshold functions
10.1016/j.measurement.2025.118159 · 2025 · External reference
Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology: case insights and methodological advances
10.1016/j.ijmst.2025.02.009 · 2025 · External reference
Novel wavelet transform-based denoising method for non-stationary noise removal from microseismic signals
10.1016/j.jappgeo.2026.106311 · 2026 · External reference
Automatic earthquake recognition and timing from single traces
10.1785/bssa0680051521 · 1978 · External reference
A new look at the statistical model identification
10.1109/tac.1974.1100705 · 1974 · External reference
Adaptive STA–LTA with outlier statistics
10.1785/0120140203 · 2015 · External reference
Automatic picking technique of microseismic P-wave based on improved STA/LTA method
2017 · External reference
Automatic picking method of P-wave first arrival of microseismic signals in coal seam hydraulic fracturing
2018 · External reference
Earthquake waveform automatic classification and recognition based on deep learning convolutional neural network
2019 · External reference
Microseismic event detection based on convolutional neural network
2020 · External reference
Earthquake phase arrival auto-picking based on U-shaped convolutional neural network
2019 · External reference
A deep-learning P-wave arrival picker for laboratory acoustic emissions: Model training and its performance
10.1007/s00603-024-04296-5 · 2025 · External reference
Accurate picking of arrival time and automatic location strategy for mine microseism based on deep transfer learning
2023 · External reference
Mine microseismic P-wave arrival picking method fusing gated recurrent unit and self-attention mechanism
2023 · External reference
Dynamic prediction of rockburst time in deep-buried tunnels integrating microseismic monitoring and power-law risk evolution
10.1016/j.ijrmms.2026.106652 · 2026 · External reference
Identification of fracture mechanisms and potential instability modes in high-steep rock slopes using microseismic moment tensors: a case study
10.1016/j.enggeo.2026.108561 · 2026 · External reference
Unresolved reference
External reference
Construction and application of foundation model for intelligent processing of mine microseism
2025 · External reference
High-Precision Coal Mine Microseismic P-Wave Arrival Picking via Physics-Constrained Deep Learning
10.3390/s25237103 · 2025 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2019 · External reference
Unresolved reference
External reference
A microseismic phase picking and polarity determination model based on the earthquake transformer
10.3390/app15073424 · 2025 · External reference
An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor
10.1007/s11771-020-4534-4 · 2020 · External reference
Suggested methods for determining the uniaxial compressive strength and deformability of rock materials
10.1016/0148-9062(79)91451-7 · 1979 · External reference
Discrete element analysis of structural characteristics of stepped reinforced soil retaining wall
10.1080/19475705.2020.1797907 · 2020 · External reference
Combined with wavelet time frequency analysis and lightweight deep convolutional networkintelligent recognition of coal rock acoustic emission signal
2026 · External reference
A deep-learning P-wave arrival picker for laboratory acoustic emissions: Model training and its performance
10.1007/s00603-024-04296-5 · ExternalCitation · doi-reference
An early warning method for water inrush in Dongjiahe coal mine based on microseismic moment tensor
10.1007/s11771-020-4534-4 · ExternalCitation · doi-reference
Suggested methods for determining the uniaxial compressive strength and deformability of rock materials
10.1016/0148-9062(79)91451-7 · ExternalCitation · doi-reference
Identification of fracture mechanisms and potential instability modes in high-steep rock slopes using microseismic moment tensors: a case study
10.1016/j.enggeo.2026.108561 · ExternalCitation · doi-reference
Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology: case insights and methodological advances
10.1016/j.ijmst.2025.02.009 · ExternalCitation · doi-reference
Dynamic prediction of rockburst time in deep-buried tunnels integrating microseismic monitoring and power-law risk evolution
10.1016/j.ijrmms.2026.106652 · ExternalCitation · doi-reference
Novel wavelet transform-based denoising method for non-stationary noise removal from microseismic signals
10.1016/j.jappgeo.2026.106311 · ExternalCitation · doi-reference
Research and application of mine microseismic signal processing based on joint PKO-VMD with wavelet threshold functions
10.1016/j.measurement.2025.118159 · ExternalCitation · doi-reference
Discrete element analysis of structural characteristics of stepped reinforced soil retaining wall
10.1080/19475705.2020.1797907 · ExternalCitation · doi-reference
A new look at the statistical model identification
10.1109/tac.1974.1100705 · ExternalCitation · doi-reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · ExternalCitation · doi-reference
Adaptive STA–LTA with outlier statistics
10.1785/0120140203 · ExternalCitation · doi-reference
Automatic earthquake recognition and timing from single traces
10.1785/bssa0680051521 · ExternalCitation · doi-reference
A microseismic phase picking and polarity determination model based on the earthquake transformer
10.3390/app15073424 · ExternalCitation · doi-reference
High-Precision Coal Mine Microseismic P-Wave Arrival Picking via Physics-Constrained Deep Learning
10.3390/s25237103 · ExternalCitation · doi-reference
