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Recognition of Microseismic and Blasting Signals in Mines Based on Convolutional Neural Network and Stockwell Transform

机译：基于卷积神经网络和岸上变换的矿山微震和爆破信号的识别

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Guangdong Song; Jiulong Cheng; Kenneth T. V. Grattan;
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1. 基于波形起振特征的矿山微震与爆破信号模式识别 [J] . 赵国彦, 马举, 董陇军, 中国有色金属学报（英文版） . 2015,第010期
2. 基于波形起振特征的矿山微震与爆破信号模式识别 [J] . 赵国彦, 马举, 董陇军, 中国有色金属学报：英文版 . 2015,第010期
3. Recognition of Microseismic and Blasting Signals in Mines Based on Convolutional Neural Network and Stockwell Transform [J] . Song Guangdong, Cheng Jiulong, Grattan Kenneth T. V. Quality Control, Transactions . 2020,第期

机译：基于卷积神经网络和岸上变换的矿山微震和爆破信号的识别
4. Tool Wear Monitoring with Vibration Signals Based on Short-Time Fourier Transform and Deep Convolutional Neural Network in Milling [J] . Zhiwen Huang, Jianmin Zhu, Jingtao Lei, Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

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Recognition of Microseismic and Blasting Signals in Mines Based on Convolutional Neural Network and Stockwell Transform

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