Identifying False Negative Flood Events Using Interpretable Deep Learning Framework
Author:
Affiliation:
1. National Technical University of Athens,Department of Rural, Surveying and Geoinformatics Engineering,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642460.pdf?arnumber=10642460
Reference12 articles.
1. Assessing the Potentials of Digitalization as a Tool for Climate Change Adaptation and Sustainable Development in Urban Centres
2. Increasing flood risk awareness and warning readiness by participation – But who understands what under ‘participation’?
3. Artificial intelligence and cloud-based Collaborative Platforms for Managing Disaster, extreme weather and emergency operations
4. Deep Learning for Computer Vision: A Brief Review
5. Flood Mapping Based on Synthetic Aperture Radar: An Assessment of Established Approaches
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