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Pourabdollah, A 
ORCID: https://orcid.org/0000-0001-7737-1393 and Lotfi, A ORCID: https://orcid.org/0000-0002-5139-6565,
2020.
Towards a data-driven fuzzy-geospatial pandemic modelling.
In:
2020 IEEE Symposium Series on Computational Intelligence (SSCI) proceedings.
Institute of Electrical and Electronics Engineers (IEEE), pp. 521-526.
ISBN 9781728125473
Official URL: https://doi.org/10.1109/ssci47803.2020.9308331
| 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: | Pourabdollah, A. and Lotfi, A. |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Date: | 1 December 2020 |
| ISBN: | 9781728125473 |
| Identifiers: | Number Type 10.1109/ssci47803.2020.9308331 DOI 1398456 Other |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Linda Sullivan |
| Date Added: | 12 Jan 2021 11:38 |
| Last Modified: | 12 Jan 2021 11:38 |
| URI: | https://irep.ntu.ac.uk/id/eprint/42012 |
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