Hybrid VAE-Transformer-based multi-task learning for cyberattack detection and fault classification in electric vehicle charging stations.
- DOI
- 10.3389/frai.2026.1934106
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1934106,
title = {Hybrid VAE-Transformer-based multi-task learning for cyberattack detection and fault classification in electric vehicle charging stations.},
author = {Vinitha R and Senthil Kumar R},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1934106},
url = {https://doi.org/10.3389/frai.2026.1934106}
}RIS
TY - JOUR TI - Hybrid VAE-Transformer-based multi-task learning for cyberattack detection and fault classification in electric vehicle charging stations. AU - Vinitha R AU - Senthil Kumar R PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1934106 UR - https://doi.org/10.3389/frai.2026.1934106 ER -
APA
R, V., & R, S. K. (2026). Hybrid VAE-Transformer-based multi-task learning for cyberattack detection and fault classification in electric vehicle charging stations.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1934106
Source records
- pubmed · retrieved 2026-11-10T12:02:07.929Z