Tools
Tools
Pourabdollah, A. 
ORCID: 0000-0001-7737-1393 and Lotfi, A. ORCID: 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: |
|
||||||
| 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 |
Actions (login required)
 |
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year
