Mapping of the wind erodible fraction of soil by bidirectional gated recurrent unit (BiGRU) and bidirectional recurrent neural network (BiRNN) deep learning models

Mahrooz Rezaei*, Aliakbar Mohammadifar, Hamid Gholami*, Monireh Mina, Michel J.P.M. Riksen, Coen Ritsema

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Fingerprint

Dive into the research topics of 'Mapping of the wind erodible fraction of soil by bidirectional gated recurrent unit (BiGRU) and bidirectional recurrent neural network (BiRNN) deep learning models'. Together they form a unique fingerprint.

Earth & Environmental Sciences