MemCLR-GANomaly: An Unsupervised Anomaly Detection Approach for Resin Cut-Off Wheel Surfaces

Xiaona Song, Runqing Zhang, Kaixuan Lv, Lijun Wang, Jing Liu, Ying Zhu

Open source

DOI
10.3390/s26196148
Published
2026-09-28
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/s26196148,
  title = {MemCLR-GANomaly: An Unsupervised Anomaly Detection Approach for Resin Cut-Off Wheel Surfaces},
  author = {Xiaona Song and Runqing Zhang and Kaixuan Lv and Lijun Wang and Jing Liu and Ying Zhu},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26196148},
  url = {https://doi.org/10.3390/s26196148}
}

RIS

TY  - JOUR
TI  - MemCLR-GANomaly: An Unsupervised Anomaly Detection Approach for Resin Cut-Off Wheel Surfaces
AU  - Xiaona Song
AU  - Runqing Zhang
AU  - Kaixuan Lv
AU  - Lijun Wang
AU  - Jing Liu
AU  - Ying Zhu
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26196148
UR  - https://doi.org/10.3390/s26196148
ER  - 

APA

Song, X., Zhang, R., Lv, K., Wang, L., Liu, J., & Zhu, Y. (2026). MemCLR-GANomaly: An Unsupervised Anomaly Detection Approach for Resin Cut-Off Wheel Surfaces. Sensors. https://doi.org/10.3390/s26196148

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