文献
J-GLOBAL ID:202202234928525033
整理番号:22A1086220
フォトニック結晶ファイバ温度センサの深層学習ベースデータ増強と挙動予測【JST・京大機械翻訳】
Deep Learning Based Data Augmentation and Behavior Prediction of Photonic Crystal Fiber Temperature Sensor
著者 (6件):
Sridevi S.
(Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India)
,
Kanimozhi T.
(Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India)
,
Ayyanar N.
(Department of ECE, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India)
,
Chugh Sunny
(Department of CSE, School of Mathematics, City, University of London, London, U.K.)
,
Valliammai M.
(Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India)
,
Mohanraj J.
(Department of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India)
資料名:
IEEE Sensors Journal
(IEEE Sensors Journal)
巻:
22
号:
7
ページ:
6832-6839
発行年:
2022年
JST資料番号:
W1318A
ISSN:
1530-437X
CODEN:
ISJEAZ
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)