Causal deep learning for enhancing explainability in 6G network edge intelligence anomaly detection.

Yi X, Zeng Z, Dai M, Kang A, Liu X, Liu Y.

Open source

DOI
10.1038/s41598-025-19700-5
Published
2025-11-19
Container
Sci Rep
Publisher
Not recorded
Open access
yes

Credibility signals

uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-19700-5,
  title = {Causal deep learning for enhancing explainability in 6G network edge intelligence anomaly detection.},
  author = {Yi X and  Zeng Z and  Dai M and  Kang A and  Liu X and  Liu Y.},
  year = {2025},
  journal = {Sci Rep},
  doi = {10.1038/s41598-025-19700-5},
  url = {https://doi.org/10.1038/s41598-025-19700-5}
}

RIS

TY  - JOUR
TI  - Causal deep learning for enhancing explainability in 6G network edge intelligence anomaly detection.
AU  - Yi X
AU  -  Zeng Z
AU  -  Dai M
AU  -  Kang A
AU  -  Liu X
AU  -  Liu Y.
PY  - 2025
JO  - Sci Rep
DO  - 10.1038/s41598-025-19700-5
UR  - https://doi.org/10.1038/s41598-025-19700-5
ER  -

APA

X, Y., Z, Z., M, D., A, K., X, L., & Y., L. (2025). Causal deep learning for enhancing explainability in 6G network edge intelligence anomaly detection.. Sci Rep. https://doi.org/10.1038/s41598-025-19700-5

Source records