文献
J-GLOBAL ID:201802252113953646
整理番号:18A1426417
2次元データによる仮想計測モデリングのためのコンピュータビジョンにヒントを得た深層学習アーキテクチャ【JST・京大機械翻訳】
A Computer Vision-Inspired Deep Learning Architecture for Virtual Metrology Modeling With 2-Dimensional Data
著者 (5件):
Maggipinto Marco
(Department of Information Engineering, University of Padova, Padua, Italy)
,
Terzi Matteo
(Department of Information Engineering and with the Human Inspired Technology Research Center, University of Padova, Padua, Italy)
,
Masiero Chiara
(Department of Information Engineering, University of Padova, Padua, Italy)
,
Beghi Alessandro
(Department of Information Engineering and with the Human Inspired Technology Research Center, University of Padova, Padua, Italy)
,
Susto Gian Antonio
(Department of Information Engineering and with the Human Inspired Technology Research Center, University of Padova, Padua, Italy)
資料名:
IEEE Transactions on Semiconductor Manufacturing
(IEEE Transactions on Semiconductor Manufacturing)
巻:
31
号:
3
ページ:
376-384
発行年:
2018年
JST資料番号:
T0521A
ISSN:
0894-6507
CODEN:
ITSMED
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)