{
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  "affiliations": [
    "Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China",
    "University of Chinese Academy of Sciences, Beijing, 100190, China",
    "State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China"
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      "name": "Xu Ji",
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  "bibtex": "https://research.draconitic.com/paper/9c53mm76r7zvz.bib",
  "cited_by": 10,
  "doi": "10.1016/j.knosys.2026.116820",
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  "id": "9c53mm76r7zvz",
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  "landing_url": "http://arxiv.org/abs/2411.02758",
  "language": "en",
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  "pdf_url": "https://arxiv.org/pdf/2411.02758",
  "pmcid": null,
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  "published": "2026-08-15",
  "publisher": "Elsevier BV",
  "ris": "https://research.draconitic.com/paper/9c53mm76r7zvz.ris",
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  "subjects": [
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      "origin": "openalex:1910|Underwater Acoustics Research",
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  "title": "DEMONet: Underwater acoustic target recognition based on multi-expert network and cross-temporal variational autoencoder",
  "title_text": "DEMONet: Underwater acoustic target recognition based on multi-expert network and cross-temporal variational autoencoder",
  "type": "peer-reviewed",
  "updated_at": "2026-11-09T13:21:19Z",
  "url": "https://research.draconitic.com/paper/9c53mm76r7zvz",
  "venue": "Knowledge-Based Systems",
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