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A study on anomaly detection of unmanned marine systems using machine learning
Author(s) -
Sang-Ki Jeong,
Dae-Hyeong Ji,
Myounghak Oh,
Haeyong Park,
Saehun Baeg,
Jihyoeng Lee
Publication year - 2022
Publication title -
measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 21
eISSN - 2051-8730
pISSN - 0020-2940
DOI - 10.1177/00202940221098075
Subject(s) - anomaly detection , computer science , artificial intelligence , class (philosophy) , state (computer science) , machine learning , anomaly (physics) , unsupervised learning , ocean observations , real time computing , physics , algorithm , meteorology , condensed matter physics

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