Clustering zones by construction-permit signatures followed by supervised learning to predict average emergency response times on NYC records.
Selecting 3D urban visualisation models for disaster management: a rule-based approach
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Zero Latency for Emergencies: A Machine Learning based Approach to Quantify Impact of Construction Projects on Emergency Response in Urban Settings
Clustering zones by construction-permit signatures followed by supervised learning to predict average emergency response times on NYC records.