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Next 24 h Rockburst Probabilistic Warning Using Microseismic Monitoring and Machine Learning

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inferredcites →https://doi.org/10.1007/s00366-018-00695-9openalex-snapshot
Evaluation of rockburst occurrence and intensity in underground structures using decision tree approach
inferredcites →https://doi.org/10.1007/s00603-014-0689-3openalex-snapshot
A Microseismic Method for Dynamic Warning of Rockburst Development Processes in Tunnels
inferredcites →https://doi.org/10.1007/s00603-021-02369-3openalex-snapshot
Probability Estimates of Short-Term Rockburst Risk with Ensemble Classifiers
inferredcites →https://doi.org/10.1007/s11440-023-01988-0openalex-snapshot
Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model
inferredcites →https://doi.org/10.1016/j.cie.2023.109667openalex-snapshot
An attention-based deep learning model for multi-horizon time series forecasting by considering periodic characteristic
inferredcites →https://doi.org/10.1016/j.ijrmms.2012.05.001openalex-snapshot
Dynamic response of rock mass induced by the transient release of in-situ stress
inferredcites →https://doi.org/10.1016/j.ijrmms.2018.07.016openalex-snapshot
Rockburst mechanism and prediction based on microseismic monitoring
inferredcites →https://doi.org/10.1016/j.jrmge.2018.06.007openalex-snapshot
Assessment of strain bursting in deep tunnelling by using the finite-discrete element method
inferredcites →https://doi.org/10.1016/j.jrmge.2022.07.014openalex-snapshot
A review of rockburst: Experiments, theories, and simulations
inferredcites →https://doi.org/10.1016/j.jrmge.2022.12.005openalex-snapshot
Analysis of rockburst mechanism and warning based on microseismic moment tensors and dynamic Bayesian networks
inferredcites →https://doi.org/10.1016/j.tust.2016.09.010openalex-snapshot
Predicting rock burst hazard with incomplete data using Bayesian networks
inferredcites →https://doi.org/10.1016/j.tust.2018.06.029openalex-snapshot
A fuzzy comprehensive evaluation methodology for rock burst forecasting using microseismic monitoring
inferredcites →https://doi.org/10.1016/j.tust.2018.11.008openalex-snapshot
Effects of structural planes on the microseismicity associated with rockburst development processes in deep tunnels of the Jinping-II Hydropower Station, China
inferredcites →https://doi.org/10.1016/j.tust.2023.105451openalex-snapshot
Microseismic characteristic and development mechanism of fault-slip rockburst in a deep-buried TBM excavated tunnel: A case study
inferredcites →https://doi.org/10.1016/j.undsp.2021.11.008openalex-snapshot
Rockburst in underground excavations: A review of mechanism, classification, and prediction methods
inferredcites →https://doi.org/10.1016/j.undsp.2024.09.002openalex-snapshot
Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest
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