Search Results for author: Gregory J. Ewing

Found 1 papers, 0 papers with code

A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources

no code implementations17 Jun 2020 Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang, Gregory J. Ewing, Yusuf Sermet, Ibrahim Demir

The study provides a comprehensive review of state-of-the-art deep learning approaches used in the water industry for generation, prediction, enhancement, and classification tasks, and serves as a guide for how to utilize available deep learning methods for future water resources challenges.

Decision Making Disaster Response +2

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