Wavelet-convolutional neural network for fault prediction in coal mine seismic data

Abstract Seismic fault identification remains critical for resource exploration and geohazard prevention, yet conventional methods suffer from subjective interpretation bias and computational inefficiency. While convolutional neural networks (CNNs) enhance automation, their neglect of multiscale fre...

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Bibliographic Details

Main Authors:	Guangui Zou, Chengyang Han, Hen-Geul Yeh, Suping Peng
Format:	Artigo
Language:	Inglês
Published:	Nature Portfolio 2025-12-01
Series:	Scientific Reports
Subjects:	Wavelet transform Convolutional neural network (CNN) Seismic fault prediction Coal mine
Online Access:	https://doi.org/10.1038/s41598-025-33312-z
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