A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping

Literals

• dcterms:publisher
  • International Journal of Applied Earth Observation and Geoinformation
• fabio:hasPublicationYear
  • 2022
• bibo:eissn
  • 1872-826X
• dcterms:contributor
  • Lv, Liang, Chen, Tao, Dou, Jie, Plaza, Antonio
• dcterms:creator
  • Lv L.
• ou:eid
  • 2-s2.0-85124389631
• bibo:doi
  • 10.1016/j.jag.2022.102713
• vivo:identifier
  • 2022-948
• bibo:issn
  • 1569-8432
• ou:tipoPublicacion
  • Article
• dcterms:title
  • A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping
• vcard:url
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124389631&origin=inward
• ou:urlOrcid
  • https://publons.com/wos-op/publon/54072036/
• ou:urlScopus
  • https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124389631&origin=inward
• bibo:volume
  • 108

Typed Literals

• dcterms:created
  • 2022-04-01T00:00:00 (xsd:dateTime)
• ou:openaccess
  • True (xsd:boolean)
• ou:vecesCitado
  • 146 (xsd:integer)

Relations

• ou:publicadaEnRevista
  • International Journal of Applied Earth Observation and Geoinformation

Inverse Relations

• Has related: ou:tienePublicacion
  • ANTONIO PLAZA MIGUEL