Multi-Modal GAN-Based Anomaly Detection for Signal Reliability Assessment in Fabric-Integrated Smart Textiles

Jianbin Wu, Ru Fan, Xiangfang Ren

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DOI: 10.3390/s26165158
Published: 2026-08-14
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26165158,
  title = {Multi-Modal GAN-Based Anomaly Detection for Signal Reliability Assessment in Fabric-Integrated Smart Textiles},
  author = {Jianbin Wu and Ru Fan and Xiangfang Ren},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26165158},
  url = {https://doi.org/10.3390/s26165158}
}

RIS

TY  - JOUR
TI  - Multi-Modal GAN-Based Anomaly Detection for Signal Reliability Assessment in Fabric-Integrated Smart Textiles
AU  - Jianbin Wu
AU  - Ru Fan
AU  - Xiangfang Ren
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26165158
UR  - https://doi.org/10.3390/s26165158
ER  -

APA

Wu, J., Fan, R., & Ren, X. (2026). Multi-Modal GAN-Based Anomaly Detection for Signal Reliability Assessment in Fabric-Integrated Smart Textiles. Sensors. https://doi.org/10.3390/s26165158

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crossref · retrieved 2026-09-25T03:44:27.147Z