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Yahaya, SW 
ORCID: https://orcid.org/0000-0002-0394-6112, Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565 and Mahmud, M ORCID: https://orcid.org/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: | Number Type 10.1109/ssci47803.2020.9308415 DOI 1398420 Other |
| 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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