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Using self‐organising maps to predict and contain natural disasters and pandemics

Raymond Moodley Orcid Logo, Francisco Chiclana Orcid Logo, Fabio Caraffini Orcid Logo, Mario Gongora Orcid Logo

International Journal of Intelligent Systems, Volume: 37, Issue: 4, Pages: 2739 - 2757

Swansea University Author: Fabio Caraffini Orcid Logo

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DOI (Published version): 10.1002/int.22440

Published in: International Journal of Intelligent Systems
ISSN: 0884-8173 1098-111X
Published: Wiley 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60901
first_indexed 2022-09-23T11:25:36Z
last_indexed 2023-01-13T19:21:22Z
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spelling 2022-09-23T12:25:48.7322996 v2 60901 2022-08-28 Using self‐organising maps to predict and contain natural disasters and pandemics d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false 2022-08-28 MACS Journal Article International Journal of Intelligent Systems 37 4 2739 2757 Wiley 0884-8173 1098-111X epidemiology; pandemic and natural disaster containment; predicting pandemics; protective cordons; self organising maps 1 4 2022 2022-04-01 10.1002/int.22440 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2022-09-23T12:25:48.7322996 2022-08-28T18:53:19.1213047 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Raymond Moodley 0000-0003-4471-2272 1 Francisco Chiclana 0000-0002-3952-4210 2 Fabio Caraffini 0000-0001-9199-7368 3 Mario Gongora 0000-0002-7135-2092 4
title Using self‐organising maps to predict and contain natural disasters and pandemics
spellingShingle Using self‐organising maps to predict and contain natural disasters and pandemics
Fabio Caraffini
title_short Using self‐organising maps to predict and contain natural disasters and pandemics
title_full Using self‐organising maps to predict and contain natural disasters and pandemics
title_fullStr Using self‐organising maps to predict and contain natural disasters and pandemics
title_full_unstemmed Using self‐organising maps to predict and contain natural disasters and pandemics
title_sort Using self‐organising maps to predict and contain natural disasters and pandemics
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
author Fabio Caraffini
author2 Raymond Moodley
Francisco Chiclana
Fabio Caraffini
Mario Gongora
format Journal article
container_title International Journal of Intelligent Systems
container_volume 37
container_issue 4
container_start_page 2739
publishDate 2022
institution Swansea University
issn 0884-8173
1098-111X
doi_str_mv 10.1002/int.22440
publisher Wiley
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2022-04-01T05:01:52Z
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