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Shallow buried improvised explosive device detection via convolutional neural networks

Simon Colreavy-Donnelly, Fabio Caraffini Orcid Logo, Stefan Kuhn, Mario Gongora, Johana Florez-Lozano, Carlos Parra

Integrated Computer-Aided Engineering, Volume: 27, Issue: 4, Pages: 403 - 416

Swansea University Author: Fabio Caraffini Orcid Logo

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DOI (Published version): 10.3233/ica-200638

Published in: Integrated Computer-Aided Engineering
ISSN: 1069-2509 1875-8835
Published: IOS Press 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa60943
first_indexed 2022-09-21T14:00:49Z
last_indexed 2023-01-13T19:21:26Z
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spelling 2022-09-21T15:00:55.4273780 v2 60943 2022-08-28 Shallow buried improvised explosive device detection via convolutional neural networks d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false 2022-08-28 MACS Journal Article Integrated Computer-Aided Engineering 27 4 403 416 IOS Press 1069-2509 1875-8835 Land mine detection, convolutional neural network, land sensing, image processing, improvised explosive device 11 9 2020 2020-09-11 10.3233/ica-200638 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2022-09-21T15:00:55.4273780 2022-08-28T20:18:46.1108436 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Simon Colreavy-Donnelly 1 Fabio Caraffini 0000-0001-9199-7368 2 Stefan Kuhn 3 Mario Gongora 4 Johana Florez-Lozano 5 Carlos Parra 6
title Shallow buried improvised explosive device detection via convolutional neural networks
spellingShingle Shallow buried improvised explosive device detection via convolutional neural networks
Fabio Caraffini
title_short Shallow buried improvised explosive device detection via convolutional neural networks
title_full Shallow buried improvised explosive device detection via convolutional neural networks
title_fullStr Shallow buried improvised explosive device detection via convolutional neural networks
title_full_unstemmed Shallow buried improvised explosive device detection via convolutional neural networks
title_sort Shallow buried improvised explosive device detection via convolutional neural networks
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
author Fabio Caraffini
author2 Simon Colreavy-Donnelly
Fabio Caraffini
Stefan Kuhn
Mario Gongora
Johana Florez-Lozano
Carlos Parra
format Journal article
container_title Integrated Computer-Aided Engineering
container_volume 27
container_issue 4
container_start_page 403
publishDate 2020
institution Swansea University
issn 1069-2509
1875-8835
doi_str_mv 10.3233/ica-200638
publisher IOS Press
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 2020-09-11T05:01:59Z
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score 11.090009

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