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Found 3 papers, 1 papers with code
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities
Designing effective emergency response management (ERM) systems to respond to incidents such as road accidents is a major problem faced by communities.
Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services
First, we show how crowdsourced reports, ground-truth historical data, and other relevant determinants such as traffic and weather can be used together in a Convolutional Neural Network (CNN) architecture for early detection of emergency incidents.
Learning Incident Prediction Models Over Large Geographical Areas for Emergency Response Systems
These statistical models are then used for proactive stationing which allocates first responders across the spatial area in order to reduce overall response time.
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