Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-2131-2022
https://doi.org/10.5194/nhess-22-2131-2022
Research article
 | 
24 Jun 2022
Research article |  | 24 Jun 2022

Strategic framework for natural disaster risk mitigation using deep learning and cost-benefit analysis

Ji-Myong Kim, Sang-Guk Yum, Hyunsoung Park, and Junseo Bae

Viewed

Total article views: 2,748 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,068 627 53 2,748 32 29
  • HTML: 2,068
  • PDF: 627
  • XML: 53
  • Total: 2,748
  • BibTeX: 32
  • EndNote: 29
Views and downloads (calculated since 08 Oct 2021)
Cumulative views and downloads (calculated since 08 Oct 2021)

Viewed (geographical distribution)

Total article views: 2,748 (including HTML, PDF, and XML) Thereof 2,635 with geography defined and 113 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
Short summary
Insurance data has been utilized with deep learning techniques to predict natural disaster damage losses in South Korea.
Altmetrics
Final-revised paper
Preprint