Open AccessThe need for training and benchmark datasets for convolutional neural networks in flood applications
Author(s) -
Abdou Khouakhi,
Joanna Zawadzka,
Ian Truckell
Publication year - 2022
Publication title -
hydrology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 48
eISSN - 1996-9694
pISSN - 0029-1277
DOI - 10.2166/nh.2022.093
Subject(s) - benchmark (surveying) , convolutional neural network , computer science , training (meteorology) , flood myth , artificial intelligence , machine learning , geography , cartography , meteorology , archaeology
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