FUKUYAMA Yoshikazu
   Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences
   Position   Professor
Language Japanese
Publication Date 2022/12
Type Academic Journal
Peer Review Peer reviewed
Title Anomaly Detection for Hydroelectric Generating Units by Fast Robust Random Cut Forest with Fast Feature Selection Considering Characteristics of Operating Data
Contribution Type Co-authored (other than first author)
Journal IEEJ Transactions on Industry Applications
Journal TypeJapan
Publisher IEE of Japan
Volume, Issue, Page pp.916-927
Total page number 12
Authorship Corresponding author
Author and coauthor Yuki Hara, Yoshikazu Fukuyama, Yuichi Shimasaki, Yuto Osada, Kenya Murakami, Tatsuya Iizaka, Tetsuro Matsui