Open AccessFuture potential groundwater drought forecast using machine learning
Author(s) -
Amos Agossou,
Jeong_Seok Yang,
Beom Jae Lee
Publication year - 2022
Publication title -
proceedings of the 39th iahr world congress
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3850/iahr-39wc2521711920221278
Subject(s) - computer science , groundwater , machine learning , artificial intelligence , environmental science , engineering , geotechnical engineering