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Peer-reviewedLicence not statedKnowledge-Based Systems

DEMONet: Underwater acoustic target recognition based on multi-expert network and cross-temporal variational autoencoder

  • Yuan Xie1,2
  • Xiaowei Zhang1,2
  • Jiawei Ren1,2
  • Xu Ji1,3,2
  1. 1Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China
  2. 2University of Chinese Academy of Sciences, Beijing, 100190, China
  3. 3State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China
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Cite

BibTeXRIS
BibTeX
@article{xie2026demonet,
  title = {{DEMONet: Underwater acoustic target recognition based on multi-expert network and cross-temporal variational autoencoder}},
  author = {Yuan Xie and Xiaowei Zhang and Jiawei Ren and Xu Ji},
  journal = {Knowledge-Based Systems},
  year = {2026},
  month = aug,
  doi = {10.1016/j.knosys.2026.116820},
  url = {http://arxiv.org/abs/2411.02758},
}
RIS
TY  - JOUR
TI  - DEMONet: Underwater acoustic target recognition based on multi-expert network and cross-temporal variational autoencoder
AU  - Yuan Xie
AU  - Xiaowei Zhang
AU  - Jiawei Ren
AU  - Xu Ji
PY  - 2026
DA  - 2026/08/15
JO  - Knowledge-Based Systems
DO  - 10.1016/j.knosys.2026.116820
UR  - http://arxiv.org/abs/2411.02758
SN  - 0950-7051
SN  - 1872-7409
ER  -