A Survey of Machine Learning Applications in Microseismic Signal Recognition and Classification
Author:
Affiliation:
1. International College of Digital Innovation, Chiang Mai University,Chiang Mai,Thailand
2. Chengdu University,Office of International Collaboration and Exchange,Chengdu,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10387308/10387295/10387351.pdf?arnumber=10387351
Reference46 articles.
1. Microseismic event waveform classification using CNN-based transfer learning models
2. Moment Tensor Inversion and Coseismic Stress Characteristics of Mining-Induced Seismicity in Coal Pillar Area
3. Automated Platform for Microseismic Signal Analysis: Denoising, Detection, and Classification in Slope Stability Studies
4. Application of Large-Scale Hydraulic Fracturing for Reducing Mining-Induced Stress and Microseismic Events: A Comprehensive Case Study
5. Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression
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