文献
J-GLOBAL ID:202202256218462798
整理番号:22A1050355
空間および時間ニューラルネットワークモデルを用いたガス漏れ検出【JST・京大機械翻訳】
Gas leakage detection using spatial and temporal neural network model
著者 (5件):
Kopbayev Alibek
(Centre for Risk, Integrity and Safety Engineering (C-RISE),Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s A1B 3×5, NL, Canada)
,
Khan Faisal
(Centre for Risk, Integrity and Safety Engineering (C-RISE),Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s A1B 3×5, NL, Canada)
,
Khan Faisal
(Mary Kay O′Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering Texas A&M University, College Station, TX, USA)
,
Yang Ming
(Safety and Security Sciences Section, Faculty of Technology, Policy and Management, TU Delft, the Netherlands)
,
Halim Syeda Zohra
(Mary Kay O′Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering Texas A&M University, College Station, TX, USA)
資料名:
Process Safety and Environmental Protection
(Process Safety and Environmental Protection)
巻:
160
ページ:
968-975
発行年:
2022年
JST資料番号:
W0232A
ISSN:
0957-5820
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)