z-logo
open-access-imgOpen Access
Anomaly Detection Using Prediction Error with Spatio-Temporal Convolutional LSTM
Author(s) -
Hanh T. M. Tran,
David Hogg
Publication year - 2022
Publication title -
the university of danang - journal of science and technology
Language(s) - English
Resource type - Journals
ISSN - 1859-1531
DOI - 10.31130/ud-jst.2022.289e
Subject(s) - benchmark (surveying) , anomaly detection , computer science , anomaly (physics) , sequence (biology) , artificial intelligence , pattern recognition (psychology) , convolutional neural network , biology , geography , physics , condensed matter physics , genetics , geodesy

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom