TDAN: Triplet depth-aware network with multi-domain fusion for unknown attack detection in autonomous vehicles.
- DOI
- 10.1016/j.neunet.2026.109259
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109259,
title = {TDAN: Triplet depth-aware network with multi-domain fusion for unknown attack detection in autonomous vehicles.},
author = {He Z and Chen Y and Zhang D},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109259},
url = {https://doi.org/10.1016/j.neunet.2026.109259}
}RIS
TY - JOUR TI - TDAN: Triplet depth-aware network with multi-domain fusion for unknown attack detection in autonomous vehicles. AU - He Z AU - Chen Y AU - Zhang D PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109259 UR - https://doi.org/10.1016/j.neunet.2026.109259 ER -
APA
Z, H., Y, C., & D, Z. (2026). TDAN: Triplet depth-aware network with multi-domain fusion for unknown attack detection in autonomous vehicles.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109259
Source records
- pubmed · retrieved 2026-09-26T22:12:47.257Z
- europe-pmc · retrieved 2026-09-26T22:12:47.277Z