文献
J-GLOBAL ID:202202275277946152
整理番号:22A0730534
機械学習を用いた浅い河口における船舶後流の同定【JST・京大機械翻訳】
Identifying ship-wakes in a shallow estuary using machine learning
著者 (14件):
Luo Yao
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Luo Yao
(Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China)
,
Zhang Cheng
(Center for Applied Coastal Research, University of Delaware, Newark, DE 19716, USA)
,
Liu Junliang
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Xing Huanlin
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Zhou Fenghua
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Wang Dongxiao
(School of Marine Sciences, Sun Yat-Sen University, Guangzhou, China)
,
Wang Dongxiao
(Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China)
,
Long Xiaomin
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Wang Shengan
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Wang Shengan
(Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China)
,
Wang Weiqiang
(State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China)
,
Wang Weiqiang
(Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, 511458, China)
,
Shi Fengyan
(Center for Applied Coastal Research, University of Delaware, Newark, DE 19716, USA)
資料名:
Ocean Engineering
(Ocean Engineering)
巻:
246
ページ:
Null
発行年:
2022年
JST資料番号:
D0597A
ISSN:
0029-8018
CODEN:
OCENBQ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)