深層学習を用いたオオサンショウウオ(Andrias japonicus)の個体識別及び交雑種判別手法の開発

Name of awarding university/degree: 京都大学,博士(農学),Doctor of Agricultural Science

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Material Type: 博士論文
Title: 深層学習を用いたオオサンショウウオ(Andrias japonicus)の個体識別及び交雑種判別手法の開発
Author/Editor: 高屋, 浩介
Author Heading: 高屋, 浩介タカヤ, コウスケ
Publication, Distribution, etc.: Kyoto University
Publication Date: 2024-03-25
Publication Date (W3CDTF): 2024-03-25
Alternative Title: Individual Identification of Japanese Giant Salamanders (Andrias japonicus) and Detection of Their Hybrids by Image Recognition Using Deep Learning
Contributor: 伊勢, 武史
德地, 直子
益田, 玲爾
小野田, 雄介
Degree grantor/type: 京都大学
Date Granted: 2024-03-25
Dissertation Number: 甲第25319号
Degree Type: 博士(農学)
Doctor of Agricultural Science
Text Language Code: eng
Subject Heading: 深層学習
画像認識技術
個体識別
交雑種判別
オオサンショウウオ
NDC: 610
Target Audience: 一般
DOI: 10.14989/doctor.k25319
Access Restrictions: インターネット公開
Rights (production): 学位規則第9条第2項により要約公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 京都大学 : 京都大学学術情報リポジトリ