Tracking Flooding Phase Transitions and Establishing a Passive Hotline With AI-Enabled Social Media Data

Tracking Flooding Phase Transitions and Establishing a Passive Hotline With AI-Enabled Social Media Data

Flooding management requires collecting real-time onsite information widely and rapidly. As an emerging data source, social media demonstrates an advantage of providing in-time, rich data in the format of texts and photos and can be used to improve flooding situation awareness. The present study sho...

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Bibliographic Details
Main Authors: Ruo-Qian Wang, Yingjie Hu, Zikai Zhou, Kevin Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Computer vision
natural language processing
convolutional neural networks
pluvial flooding
disaster management
rescue and search
Online Access:https://ieeexplore.ieee.org/document/9091866/

Internet

https://ieeexplore.ieee.org/document/9091866/

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