Towards a data-driven fuzzy-geospatial pandemic modelling

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

Full text not available from this repository.
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:
NumberType
10.1109/ssci47803.2020.9308331DOI
1398456Other
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: http://irep.ntu.ac.uk/id/eprint/42012

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