Open AccessAssessment of flood susceptibility prediction based on optimized tree-based machine learning models
Author(s) -
Seyed Ahmad Eslaminezhad,
Mobin Eftekhari,
Aliasghar Azma,
Ramin Kiyanfar,
Mohammad Akbari
Publication year - 2022
Publication title -
journal of water and climate change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 22
eISSN - 2408-9354
pISSN - 2040-2244
DOI - 10.2166/wcc.2022.435
Subject(s) - flood myth , random forest , flooding (psychology) , watershed , hydrogeology , tree (set theory) , environmental science , hydrology (agriculture) , elevation (ballistics) , computer science , machine learning , artificial intelligence , geology , mathematics , geography , geotechnical engineering , psychology , mathematical analysis , geometry , archaeology , psychotherapist
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom