Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning
Abstract Effective use of the wealth of information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose a semi‐supervised neural network tailored to screen DAS data related to a series of rock collapses leading to a major failure of approximate...
Saved in:
| Main Authors: | Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-10-01
|
| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024GL110672 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Experimental investigation of the precursor characteristics and early warning of coal burst based on quantitative analysis of acoustic emission signals
by: Xiaoling Zhao, et al.
Published: (2025-01-01) -
Semi-Supervised Approach for Automatic Counting of Whiteflies With Small Annotated Dataset
by: Laura Gomez-Zamanillo, et al.
Published: (2025-01-01) -
Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors
by: Artem Kozmin, et al.
Published: (2025-06-01) -
Continual Semi-Supervised Malware Detection
by: Matthew Chin, et al.
Published: (2024-12-01) -
An in-depth exploration of supervised and semi-supervised learning on face recognition
by: Purnawansyah, et al.
Published: (2025-06-01)