Detection of Subsurface Void from Radar Images by Three-dimensional Convolutional Neural Network and Finite Difference Time Domain Method (特集 20年間の活動を終えて(ICUS))

Icons representing 記事

Detection of Subsurface Void from Radar Images by Three-dimensional Convolutional Neural Network and Finite Difference Time Domain Method(特集 20年間の活動を終えて(ICUS))

Call No. (NDL)
Z14-198
Bibliographic ID of National Diet Library
031862733
Material type
記事
Author
山口 貴浩ほか
Publisher
東京 : 東京大学生産技術研究所
Publication date
2021-11
Material Format
Paper
Journal name
生産研究 : 東京大学生産技術研究所所報 = Journal of Institute of Industrial Science, The University of Tokyo 73(5)=742:2021.11
Publication Page
p.327-331
View All

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

  • CiNii Research

    Search Service
    Digital
    You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Paper Digital

Material Type
記事
Author/Editor
山口 貴浩
水谷 司
Alternative Title
三次元畳込みニューラルネットワークとFDTD法によるレーダー信号からの空洞検知 サンジゲン タタミコミ ニューラルネットワーク ト FDTDホウ ニ ヨル レーダー シンゴウ カラ ノ クウドウ ケンチ
Periodical title
生産研究 : 東京大学生産技術研究所所報 = Journal of Institute of Industrial Science, The University of Tokyo
No. or year of volume/issue
73(5)=742:2021.11
Volume
73
Issue
5