Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

  1. Pourghasemi, H.R.
  2. Kariminejad, N.
  3. Amiri, M.
  4. Edalat, M.
  5. Zarafshar, M.
  6. Blaschke, T.
  7. Cerda, A.
Revue:
Scientific Reports

ISSN: 2045-2322

Année de publication: 2020

Volumen: 10

Número: 1

Type: Article

DOI: 10.1038/S41598-020-60191-3 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus