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  • 検索条件 : 絞込み (MeSH = Convolutional Neural Networks)
生物種 リソース名 RRC ID タイトル ジャーナル 公開日 外部リンク オルトメトリクス指標
GBIF Fungi specimens of Saitama Museum of Natural History , Fungal Specimens of Sagamihara City Museum , Biological Resource Center, Department of Biotechnology, National Institute of Technology and Evaluation , Fungal Collection of Natural History Museum and Institute, Chiba , Ibaraki Nature Museum, Fungi collection , Gunma Museum of Natural History, Fungi Specimen , Fungi specimen database of Kanagawa Prefectural Museum of Natural History , Fungal Specimens of National Museum of Nature and Science (TNS) , Mycological Collection of Osaka Museum of Natural History 89333 Explainable convolutional neural network architectures for high-performance taxonomic classification of gasteroid macrofungi. Sci Rep 2025-11-17 Pubmed Full text
コムギ KU-2109 , KU-2113 , KU-2115 , KU-2116 , KU-2120 , KU-2121 , KU-2131 , KU-2132 , KU-2133 , KU-2136 85024 f4-statistics-based ancestry profiling and convolutional neural network phenotyping shed new light on the structure of genetic and spike shape diversity in Aegilops tauschii Coss. Proc Jpn Acad Ser B Phys Biol Sci 2025-5-21 Pubmed Full text
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