Towards a data-driven adaptive anomaly detection system for human activity

Yahaya, S.W. ORCID: 0000-0002-0394-6112, Lotfi, A. ORCID: 0000-0002-5139-6565 and Mahmud, M. ORCID: 0000-0002-2037-8348, 2021. Towards a data-driven adaptive anomaly detection system for human activity. Pattern Recognition Letters. ISSN 0167-8655

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Item Type: Journal article
Publication Title: Pattern Recognition Letters
Creators: Yahaya, S.W., Lotfi, A. and Mahmud, M.
Publisher: Elsevier
Date: 12 February 2021
ISSN: 0167-8655
Identifiers:
NumberType
10.1016/j.patrec.2021.02.006DOI
S0167865521000611Publisher Item Identifier
1408861Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 22 Feb 2021 15:23
Last Modified: 22 Feb 2021 15:23
URI: http://irep.ntu.ac.uk/id/eprint/42351

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