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Emergency Response Inference Mapping (ERIMap): A Bayesian Network-based Method for Dynamic Observation Processing in Spatially Distributed Emergencies
The output of the ERIMap method is a dynamically evolving and spatially resolved map of beliefs about key variables of an emergency that is updated each time a new observation becomes available.
A Machine learning approach for rapid disaster response based on multi-modal data. The case of housing & shelter needs
To address this gap and make a headway in comprehensive assessments, this paper proposes a machine learning workflow that aims to fuse and rapidly analyse multimodal data.
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