Deep Neural Network for Distinguishing Microseismic Signals and Blasting Vibration Signals Based on Deep Learning of Spectrum Features-Reference-Cited by-同舟云学术

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Deep Neural Network for Distinguishing Microseismic Signals and Blasting Vibration Signals Based on Deep Learning of Spectrum Features

Published:2024-06-10 Issue: Volume: Page:1-20
ISSN:1363-2469
Container-title:Journal of Earthquake Engineering
language:en
Short-container-title:Journal of Earthquake Engineering

Author:

Liu Shuai¹,Jia Rui-Sheng¹²,Hao Xiao-Bo³,Liu Peng-Cheng³,Deng Yan-Hui³,Sun Hong-Mei¹²

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

2. Shandong Province Key Laboratory of Wisdom Mine Information Technology, Shandong University of Science and Technology, Qingdao, China

3. Information Center, Ningxia Hongdunzi Coal Ind, Yinchuan, China

Funder

Natural Science Foundation of Shandong Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/13632469.2024.2364698

Reference42 articles.

1. Spectral Discrimination between Quarry Blasts and Earthquakes in Southern California

2. Fuzzy classification of roof fall predictors in microseismic monitoring

3. Automatic recognition and classification of multi-channel microseismic waveform based on DCNN and SVM

4. Image Classification Algorithm Based on Big Data and Multilabel Learning of Improved Convolutional Neural Network

5. Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition

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