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Predicting Non-Residential Building Fire Risk Using Geospatial Information and Convolutional Neural Networks

Anderson-Bell, J; Schillaci, C; Lipani, A; (2021) Predicting Non-Residential Building Fire Risk Using Geospatial Information and Convolutional Neural Networks. Remote Sensing Applications: Society and Environment (In press).

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R1_pre-print_Pred Non-Residential Building Fire.pdf - Accepted version
Access restricted to UCL open access staff until 19 July 2021.

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Type: Article
Title: Predicting Non-Residential Building Fire Risk Using Geospatial Information and Convolutional Neural Networks
Publisher version: https://www.journals.elsevier.com/remote-sensing-a...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10119262
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