Imagification technology and deep learning accelerating defect detection in non-destructive testing for wind turbine blades

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Imagification technology and deep learning accelerating defect detection in non-destructive testing for wind turbine blades

Persistent ID (NDL): info:ndljp/pid/11613638

Material type: 記事

Author: Sachiko Furuyaほか

Publisher: 富士通

Publication date: 2019

Material Format: Digital

Journal name: Fujitsu scientific & technical journal 55(2)

Publication Page: -

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Material Type: 記事
Title: Imagification technology and deep learning accelerating defect detection in non-destructive testing for wind turbine blades
Author/Editor: Sachiko Furuya
Ali Sanaee
Serban Georgescu
Publication, Distribution, etc.: 日本 : 富士通
Publication Date: 2019
Publication Date (W3CDTF): 2019
Periodical title: Fujitsu scientific & technical journal
No. or year of volume/issue: 55(2)
Volume: 55(2)
Text Language Code: eng
Persistent ID (NDL): info:ndljp/pid/11613638
https://dl.ndl.go.jp/pid/11613638
Collection: 障害者向け資料
Collection (Materials For Handicapped People:1): テキストデータ
Collection (particular): 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
https://dl.ndl.go.jp/collections/B00035
Acquisition Basis: インターネット資料収集保存事業（WARP）
Date Accepted (W3CDTF): 2021-01-08T20:16:46+09:00
Date Captured (W3CDTF): 2020-05-22
Format (IMT): application/pdf
Access Restrictions: インターネット公開
Availability of remote photoduplication service: 不可
Periodical Title (URI): https://warp.da.ndl.go.jp/info:ndljp/pid/11489821/www.fujitsu.com/global/about/resources/publications/fstj/archives/vol55-2.html
Periodical Title (Persistent ID (NDL)): info:ndljp/pid/11613633
https://dl.ndl.go.jp/pid/11613633
Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション
https://dl.ndl.go.jp