Comprehensive Research of Deep Learning Strategies in Sensor-Based Human Activity Recognition

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Comprehensive Research of Deep Learning Strategies in Sensor-Based Human Activity Recognition

Persistent ID (NDL): info:ndljp/pid/13805050

Material type: 博士論文

Author: ZHAO, ZHONGKAI

Publisher: -

Publication date: 2024-09-30

Material Format: Digital

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Name of awarding university/degree: 福井大学,博士(工学)

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Note (General)：: 2024

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Material Type: 博士論文
Title: Comprehensive Research of Deep Learning Strategies in Sensor-Based Human Activity Recognition
Author/Editor: ZHAO, ZHONGKAI
Author Heading: ZHAO, ZHONGKAI
Publication Date: 2024-09-30
Publication Date (W3CDTF): 2024-09-30
Alternative Title: センサーベースの人間活動認識における深層学習戦略の総合的な研究
Degree grantor/type: 福井大学
Date Granted: 2024-09-30
Date Granted (W3CDTF): 2024-09-30
Dissertation Number: 工博甲第569号
Degree Type: 博士(工学)
Text Language Code: eng
Target Audience: 一般
Note (General): 2024
Persistent ID (NDL): info:ndljp/pid/13805050
https://dl.ndl.go.jp/pid/13805050
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 > デジタル化資料 > 博士論文
https://dl.ndl.go.jp/collections/A00014
Acquisition Basis: 博士論文（自動収集）
Date Accepted (W3CDTF): 2024-11-12T17:30:00+09:00
Format (IMT): application/pdf
Access Restrictions: 国立国会図書館内限定公開
Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
Availability of remote photoduplication service: 可
Periodical Title (URI): http://hdl.handle.net/10098/0002000351
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