文献
J-GLOBAL ID:202102226843828548
整理番号:21A2569134
魚のAmmonia環境における深層学習に基づく行動軌跡の解析【JST・京大機械翻訳】
Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish
著者 (6件):
Xu Wenkai
(School of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China)
,
Zhu Zhaohu
(School of Science and Information, Qingdao Agricultural University, Qingdao 266109, China)
,
Ge Fengli
(School of Management, Qingdao Agricultural University, Qingdao 266109, China)
,
Han Zhongzhi
(School of Science and Information, Qingdao Agricultural University, Qingdao 266109, China)
,
Li Juan
(School of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China)
,
Li Juan
(Key Laboratory of Security Control Technology for Complex System Driven By Big Data, Shandong University of Science and Technology, Qingdao 266590, China)
資料名:
Sensors (Web)
(Sensors (Web))
巻:
20
号:
16
ページ:
4425
発行年:
2020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)