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Yahaya, S.W. 
ORCID: 0000-0002-0394-6112, Lotfi, A. ORCID: 0000-0002-5139-6565 and Mahmud, M. ORCID: 0000-0002-2037-8348,
2020.
Towards the development of an adaptive system for detecting anomaly in human activities.
In:
2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings.
Institute of Electrical and Electronics Engineers (IEEE), pp. 534-541.
ISBN 9781728125473
Official URL: https://doi.org/10.1109/ssci47803.2020.9308415
| Item Type: | Chapter in book | ||||||
|---|---|---|---|---|---|---|---|
| Description: | Paper presented at the 2020 IEEE Symposium Series on Computational Intelligence (SSCI), (virtually) Canberra, Australia, 1-4 December 2020. | ||||||
| Creators: | Yahaya, S.W., Lotfi, A. and Mahmud, M. | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| Date: | 1 December 2020 | ||||||
| ISBN: | 9781728125473 | ||||||
| Identifiers: |
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| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Linda Sullivan | ||||||
| Date Added: | 12 Jan 2021 11:25 | ||||||
| Last Modified: | 12 Jan 2021 11:25 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/42009 |
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