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Satellite imagery analysis for operational damage assessment in Emergency situations
When major disaster occurs the questions are raised how to estimate the damage in time to support the decision making process and relief efforts by local authorities or humanitarian teams.
Automatic Construction of a Recurrent Neural Network based Classifier for Vehicle Passage Detection
Recurrent Neural Networks (RNNs) are extensively used for time-series modeling and prediction.
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