Publicação
Deep learning method to identify fire ignitions
| dc.contributor.author | Mendes, João | |
| dc.contributor.author | Brito, Thadeu | |
| dc.contributor.author | Pereira, Ana I. | |
| dc.contributor.author | Lima, José | |
| dc.date.accessioned | 2023-03-21T15:26:51Z | |
| dc.date.available | 2023-03-21T15:26:51Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | The SAFe project aims to create and implement a set of innovative operations that minimize the time of forest ignitions identification contributing to the development of the Trás-os-Montes region. Thus, it is intended to locate a set of sensors in the forest, data information will be collected, and the artificial intelligence algorithm Deep Learning will be applied to achieve the intended end. Numerical results demonstrated the approach reliability. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Mendes, João; Brito, Thadeu; Pereira, Ana I.; Lima, José (2020). Deep learning method to identify fire ignitions. In VII Workshop on Computational Data Analysis | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/27912 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | Learning algorithms | pt_PT |
| dc.subject | Forest ignitions | pt_PT |
| dc.title | Deep learning method to identify fire ignitions | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.title | VII Workshop on Computational Data Analysis | pt_PT |
| person.familyName | Mendes | |
| person.familyName | Brito | |
| person.familyName | Pereira | |
| person.familyName | Lima | |
| person.givenName | João | |
| person.givenName | Thadeu | |
| person.givenName | Ana I. | |
| person.givenName | José | |
| person.identifier | 2726655 | |
| person.identifier | BjSISEAAAAAJ | |
| person.identifier | R-000-8GD | |
| person.identifier.ciencia-id | EA1F-844D-6BA9 | |
| person.identifier.ciencia-id | C911-A95D-712F | |
| person.identifier.ciencia-id | 0716-B7C2-93E4 | |
| person.identifier.ciencia-id | 6016-C902-86A9 | |
| person.identifier.orcid | 0000-0003-0979-8314 | |
| person.identifier.orcid | 0000-0002-5962-0517 | |
| person.identifier.orcid | 0000-0003-3803-2043 | |
| person.identifier.orcid | 0000-0001-7902-1207 | |
| person.identifier.rid | F-3168-2010 | |
| person.identifier.rid | L-3370-2014 | |
| person.identifier.scopus-author-id | 57225794972 | |
| person.identifier.scopus-author-id | 57200694948 | |
| person.identifier.scopus-author-id | 15071961600 | |
| person.identifier.scopus-author-id | 55851941311 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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