A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility

  1. Arabameri, A.
  2. Saha, S.
  3. Roy, J.
  4. Tiefenbacher, J.P.
  5. Cerda, A.
  6. Biggs, T.
  7. Pradhan, B.
  8. Thi Ngo, P.T.
  9. Collins, A.L.
Revue:
Science of the Total Environment

ISSN: 1879-1026,  0048-9697

Année de publication: 2020

Volumen: 726

Type: Article

DOI: 10.1016/J.SCITOTENV.2020.138595 GOOGLE SCHOLAR
La source de données: Scopus