文献
J-GLOBAL ID:202402238700515913
整理番号:24A0212952
転送学習ベース深層ニューラルネットワークを用いた適応度移動型と完全性検出【JST・京大機械翻訳】
Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network
著者 (7件):
Chen Kuan-Yu
(School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan)
,
Chen Kuan-Yu
(Department of Information and Communication Engineering, Chaoyang University of Technology Taichung, Taichung 41349, Taiwan)
,
Shin Jungpil
(School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan)
,
Hasan Md. Al Mehedi
(School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan)
,
Liaw Jiun-Jian
(Department of Information and Communication Engineering, Chaoyang University of Technology Taichung, Taichung 41349, Taiwan)
,
Yuichi Okuyama
(School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan)
,
Tomioka Yoichi
(School of Computer Science and Engineering, The University of Aizu Fukushima, Aizuwakamatsu 9658580, Japan)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
22
号:
15
ページ:
5700
発行年:
2022年
JST資料番号:
U7015A
ISSN:
1424-8220
CODEN:
SENSC9
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)