文献
J-GLOBAL ID:202202222227961571
整理番号:22A0181439
汚染物質周期性と深層学習法を組み合わせた道路の路側における大気汚染物質の予測【JST・京大機械翻訳】
Prediction of air pollutants on roadside of the elevated roads with combination of pollutants periodicity and deep learning method
著者 (4件):
Wu Cui-lin
(Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China)
,
He Hong-di
(Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China)
,
Song Rui-feng
(Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China)
,
Peng Zhong-ren
(International Center for Adaptation Planning and Design, College of Design, Construction and Planning, University of Florida, PO Box 115706, Gainesville, FL, 32611-5706, USA)
資料名:
Building and Environment
(Building and Environment)
巻:
207
号:
PB
ページ:
Null
発行年:
2022年
JST資料番号:
C0858A
ISSN:
0360-1323
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)