Identification of Acoustic Emission Spectrograms from Limestone Fracturing Based on a Novel Deep Learning Model
- DOI
- 10.3390/s26134157
- Published
- 2026-07-01
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26134157,
title = {Identification of Acoustic Emission Spectrograms from Limestone Fracturing Based on a Novel Deep Learning Model},
author = {Yan Zhang and Daojing Guo and Yulong Ye and Lantao Huang and Cong Fan and Jiancheng Huang and Mingdong Wei},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26134157},
url = {https://doi.org/10.3390/s26134157}
}RIS
TY - JOUR TI - Identification of Acoustic Emission Spectrograms from Limestone Fracturing Based on a Novel Deep Learning Model AU - Yan Zhang AU - Daojing Guo AU - Yulong Ye AU - Lantao Huang AU - Cong Fan AU - Jiancheng Huang AU - Mingdong Wei PY - 2026 JO - Sensors DO - 10.3390/s26134157 UR - https://doi.org/10.3390/s26134157 ER -
APA
Zhang, Y., Guo, D., Ye, Y., Huang, L., Fan, C., Huang, J., & Wei, M. (2026). Identification of Acoustic Emission Spectrograms from Limestone Fracturing Based on a Novel Deep Learning Model. Sensors. https://doi.org/10.3390/s26134157
Source records
- crossref · retrieved 2026-09-26T05:58:47.532Z