文献
J-GLOBAL ID:202002277534253450
整理番号:20A2520079
歩行位相認識のための多重時空間ネットワークのGauss融合に基づくハイブリッド深層学習フレームワーク【JST・京大機械翻訳】
Hybrid Deep-Learning Framework Based on Gaussian Fusion of Multiple Spatiotemporal Networks for Walking Gait Phase Recognition
著者 (6件):
Zhen Tao
(School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China)
,
Zhen Tao
(School of Engineering, Beijing Forestry University, Beijing 100083, China)
,
Kong Jian-lei
(School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China)
,
Kong Jian-lei
(National Key Laboratory of Environmental Protection Food Chain Pollution Prevention, Beijing 100048, China)
,
Kong Jian-lei
(China Light Key Laboratory of Industry Internet and Big Data, Beijing 100048, China)
,
Yan Lei
(School of Engineering, Beijing Forestry University, Beijing 100083, China)
資料名:
Complexity
(Complexity)
巻:
2020
ページ:
Null
発行年:
2020年
JST資料番号:
W2044A
ISSN:
1076-2787
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)