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  <ref-type name="Journal Article">17</ref-type>
  <contributors>
    <authors>
      <author>He, Yan</author>
      <author>Drozd, Vasyl</author>
      <author>Ekawa, Hiroyuki</author>
      <author>Escrig, Samuel</author>
      <author>Gao, Yiming</author>
      <author>Kasagi, Ayumi</author>
      <author>Liu, Enqiang</author>
      <author>Muneem, Abdul</author>
      <author>Nakagawa, Manami</author>
      <author>Nakazawa, Kazuma</author>
      <author>Rappold, Christophe</author>
      <author>Saito, Nami</author>
      <author>Saito, Takehiko</author>
      <author>Sugimoto, Shohei</author>
      <author>Taki, Masato</author>
      <author>Tanaka, Yoshiki K.</author>
      <author>Wang, He</author>
      <author>Yanai, Ayari</author>
      <author>Yoshida, Junya</author>
      <author>Zhang, Hongfei</author>
    </authors>
    <subsidiary-authors>
      <author>FRS</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>A novel application of machine learning to detect double- Λ hypernuclear events in nuclear emulsions</title>
    <secondary-title>Nuclear instruments &amp; methods in physics research / Section A</secondary-title>
  </titles>
  <periodical>
    <full-title>Nuclear instruments &amp; methods in physics research / Section A</full-title>
  </periodical>
  <publisher>Elsevier</publisher>
  <pub-location>[Amsterdam]</pub-location>
  <isbn>0167-5087</isbn>
  <electronic-resource-num>10.1016/j.nima.2024.170196</electronic-resource-num>
  <pages>170196</pages>
  <number/>
  <volume>1073</volume>
  <abstract/>
  <notes/>
  <label>PUB:(DE-HGF)16, ; 0, ; </label>
  <keywords/>
  <accession-num>WOS:001415524700001</accession-num>
  <work-type>Journal Article</work-type>
  <dates>
    <pub-dates>
      <year>2025</year>
    </pub-dates>
  </dates>
  <accession-num>GSI-2025-01040</accession-num>
  <year>2025</year>
  <urls>
    <related-urls>
      <url>https://repository.gsi.de/record/361897</url>
      <url>https://doi.org/10.1016/j.nima.2024.170196</url>
      <url>&lt;Go to ISI&gt;://WOS:001415524700001</url>
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