<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-03473257</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-16T23:34:49+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Emulation of wildland fire spread simulation using deep learning</title>
            <author role="aut">
              <persName>
                <forename type="first">Frédéric</forename>
                <surname>Allaire</surname>
              </persName>
              <idno type="idhal" notation="numeric">817946</idno>
              <idno type="halauthorid" notation="string">1632540-817946</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-3564-1564</idno>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Vivien</forename>
                <surname>Mallet</surname>
              </persName>
              <email type="md5">ff3d9c451c1136f3b47f8f2fc2fca639</email>
              <email type="domain">inria.fr</email>
              <idno type="idhal" notation="string">vmallet</idno>
              <idno type="idhal" notation="numeric">16878</idno>
              <idno type="halauthorid" notation="string">12629-16878</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-5144-730X</idno>
              <idno type="IDREF">https://www.idref.fr/106965093</idno>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Jean-Baptiste</forename>
                <surname>Filippi</surname>
              </persName>
              <email type="md5">628ca734a1610d927a2917eac124e444</email>
              <email type="domain">univ-corse.fr</email>
              <idno type="idhal" notation="string">jean-baptiste-filippi</idno>
              <idno type="idhal" notation="numeric">6340</idno>
              <idno type="halauthorid" notation="string">777934-6340</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-6244-0648</idno>
              <idno type="IDREF">https://www.idref.fr/190595167</idno>
              <affiliation ref="#struct-843"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Accord Elsevier</forename>
                <surname>CCSD</surname>
              </persName>
              <email type="md5">3cc0cc7b8e3329bfb7423fa2578d788e</email>
              <email type="domain">ccsd.cnrs.fr</email>
            </editor>
            <funder ref="#projanr-43987"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2023-05-09 08:54:32</date>
              <date type="whenModified">2025-03-25 09:36:03</date>
              <date type="whenReleased">2023-05-09 08:54:33</date>
              <date type="whenProduced">2021-09</date>
              <date type="whenEndEmbargoed">2022-04-24</date>
              <ref type="file" target="https://hal.science/hal-03473257v1/document">
                <date notBefore="2022-04-24"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-03473257v1/file/S0893608021001337.pdf" id="file-4091821-3562021">
                <date notBefore="2022-04-24"/>
              </ref>
              <ref type="externalLink" target="https://www.sciencedirect.com/science/article/am/pii/S0893608021001337"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="1081876">
                <persName>
                  <forename>Accord Elsevier</forename>
                  <surname>CCSD</surname>
                </persName>
                <email type="md5">3cc0cc7b8e3329bfb7423fa2578d788e</email>
                <email type="domain">ccsd.cnrs.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-03473257</idno>
            <idno type="halUri">https://hal.science/hal-03473257</idno>
            <idno type="halBibtex">allaire:hal-03473257</idno>
            <idno type="halRefHtml">&lt;i&gt;Neural Networks&lt;/i&gt;, 2021, 141, pp.184-198. &lt;a target="_blank" href="https://dx.doi.org/10.1016/j.neunet.2021.04.006"&gt;&amp;#x27E8;10.1016/j.neunet.2021.04.006&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">Neural Networks, 2021, 141, pp.184-198. &amp;#x27E8;10.1016/j.neunet.2021.04.006&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0 - Attribution - Non-commercial use<ref corresp="#file-4091821-3562021"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="UNIV-CORSE">Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli]</idno>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="SPE">Sciences pour l'environnement</idno>
            <idno type="stamp" n="UNIV-CORSE-SPE" corresp="UNIV-CORSE">Sciences pour l'Environnement</idno>
            <idno type="stamp" n="GENCI">Publications ayant eu recours aux supercalculateurs du GENCI</idno>
            <idno type="stamp" n="TDS-MACS">Réseau de recherche en Théorie des Systèmes Distribués, Modélisation, Analyse et Contrôle des Systèmes</idno>
            <idno type="stamp" n="TEST-HALCNRS">Collection test HAL CNRS</idno>
            <idno type="stamp" n="ANR">ANR</idno>
            <idno type="stamp" n="ELSEVIER">Import Elsevier</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Emulation of wildland fire spread simulation using deep learning</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Frédéric</forename>
                    <surname>Allaire</surname>
                  </persName>
                  <idno type="idhal" notation="numeric">817946</idno>
                  <idno type="halauthorid" notation="string">1632540-817946</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-3564-1564</idno>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Vivien</forename>
                    <surname>Mallet</surname>
                  </persName>
                  <email type="md5">ff3d9c451c1136f3b47f8f2fc2fca639</email>
                  <email type="domain">inria.fr</email>
                  <idno type="idhal" notation="string">vmallet</idno>
                  <idno type="idhal" notation="numeric">16878</idno>
                  <idno type="halauthorid" notation="string">12629-16878</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-5144-730X</idno>
                  <idno type="IDREF">https://www.idref.fr/106965093</idno>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Jean-Baptiste</forename>
                    <surname>Filippi</surname>
                  </persName>
                  <email type="md5">628ca734a1610d927a2917eac124e444</email>
                  <email type="domain">univ-corse.fr</email>
                  <idno type="idhal" notation="string">jean-baptiste-filippi</idno>
                  <idno type="idhal" notation="numeric">6340</idno>
                  <idno type="halauthorid" notation="string">777934-6340</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-6244-0648</idno>
                  <idno type="IDREF">https://www.idref.fr/190595167</idno>
                  <affiliation ref="#struct-843"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">7360</idno>
                <idno type="issn">0893-6080</idno>
                <title level="j">Neural Networks</title>
                <imprint>
                  <publisher>Elsevier</publisher>
                  <biblScope unit="volume">141</biblScope>
                  <biblScope unit="pp">184-198</biblScope>
                  <date type="datePub">2021-09</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1016/j.neunet.2021.04.006</idno>
              <idno type="pii">S0893-6080(21)00133-7</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="info.info-mo">Computer Science [cs]/Modeling and Simulation</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="laboratory" xml:id="struct-843" status="VALID">
          <idno type="IdRef">168670399</idno>
          <idno type="RNSR">200012203U</idno>
          <idno type="ROR">https://ror.org/016nwev19</idno>
          <idno type="Wikidata">Q51785336</idno>
          <orgName>Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE)</orgName>
          <orgName type="acronym">SPE</orgName>
          <date type="start">2000-01-01</date>
          <desc>
            <address>
              <addrLine>Adresse 1 (principale): Campus GRIMALDI, Bâtiment PPDB, 20250 Corte Adresse 2: Lieu dit Vignola, route des sanguinaires, 20000 Ajaccio</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://spe.univ-corse.fr</ref>
          </desc>
          <listRelation>
            <relation name="UMR6134" active="#struct-441569" type="direct"/>
            <relation active="#struct-1047963" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-1047963" status="VALID">
          <idno type="IdRef">029473284</idno>
          <idno type="ROR">https://ror.org/050ra0n32</idno>
          <orgName>Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli]</orgName>
          <desc>
            <address>
              <addrLine>Università di Corsica – BP 52 – 20250 Corte</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.universita.corsica/fr/universita/presentation/</ref>
          </desc>
        </org>
      </listOrg>
      <listOrg type="projects">
        <org type="anrProject" xml:id="projanr-43987" status="VALID">
          <idno type="anr">ANR-16-CE04-0006</idno>
          <orgName>FireCaster</orgName>
          <desc>Plateforme de prévision incendie et de réponse d'urgence.</desc>
          <date type="start">2016</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>