Journal article 649 views
Using self‐organising maps to predict and contain natural disasters and pandemics
International Journal of Intelligent Systems, Volume: 37, Issue: 4, Pages: 2739 - 2757
Swansea University Author:
Fabio Caraffini
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DOI (Published version): 10.1002/int.22440
Abstract
Using self‐organising maps to predict and contain natural disasters and pandemics
Published in: | International Journal of Intelligent Systems |
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ISSN: | 0884-8173 1098-111X |
Published: |
Wiley
2022
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa60901 |
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2022-09-23T11:25:36Z |
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2023-01-13T19:21:22Z |
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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 SCS 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 Computer Science COLLEGE CODE SCS 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 |
hierarchytype |
|
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 |
2022-04-01T04:19:24Z |
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1763754287075164160 |
score |
11.021648 |