PSO-random forest approach to enhance flood-prone area identification: using ground and remote sensing data (case study: Ottawa-Gatineau)
Crossref DOI link: https://doi.org/10.1007/s12145-025-01719-x
Published Online: 2025-01-30
Published Print: 2025-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mosalla Tabari, Maedeh
Ebadi, Hamid
Alizadeh Zakaria, Zahra
Text and Data Mining valid from 2025-01-30
Version of Record valid from 2025-01-30
Article History
Received: 8 October 2024
Accepted: 16 January 2025
First Online: 30 January 2025
Declarations
:
: The authors declare no competing interests.