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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00200283</identifier>
        <datestamp>2025-01-19T21:23:16Z</datestamp>
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          <dc:title>A proposal for new method of fish species and size prediction by recognizing fishing vibration pattern using machine learning</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Shuichi, Fukuda</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Seongeon, Hong</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Hanbit, Oh</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Hyuckjin, Choi</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Yuki, Matsuda</jpcoar:creatorName>
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          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Keiichi, Yasumoto</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">行動変容と社会システム</jpcoar:subject>
          <datacite:description descriptionType="Other">A sport of fishing is becoming popular more and more in recent years. Also, the technology of fishing products make advance with hitting sensors, alarm and LED notification. However, there is no function for recognizing the species and size of fish. Thus, our proposal will provide a method of fish species and size prediction based on nod vibration caused by fish bites and tracking the nod wire’s movement, by using machine learning.</datacite:description>
          <dc:publisher xml:lang="ja">情報処理学会</dc:publisher>
          <datacite:date dateType="Issued">2019-09-13</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_5794">conference paper</dc:type>
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          <jpcoar:sourceIdentifier identifierType="ISSN">1884-197X</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>2019年度 情報処理学会関西支部 支部大会 講演論文集</jpcoar:sourceTitle>
          <jpcoar:volume>2019</jpcoar:volume>
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            <datacite:date dateType="Available">2021-09-13</datacite:date>
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