Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering.

Zhang H, Zeng J, Ma C, Li T, Deng Y, Song T

DOI: 10.3390/s21206762
Published: 2021 Oct 12
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s21206762,
  title = {Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering.},
  author = {Zhang H and Zeng J and Ma C and Li T and Deng Y and Song T},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21206762},
  url = {https://doi.org/10.3390/s21206762}
}

RIS

TY  - JOUR
TI  - Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering.
AU  - Zhang H
AU  - Zeng J
AU  - Ma C
AU  - Li T
AU  - Deng Y
AU  - Song T
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21206762
UR  - https://doi.org/10.3390/s21206762
ER  -

APA

H, Z., J, Z., C, M., T, L., Y, D., & T, S. (2021). Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21206762

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pubmed · retrieved 2026-09-27T10:41:40.995Z