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Found 4 papers, 2 papers with code
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.
Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion
Crowdsourcing platforms such as Waze provides an opportunity to develop a rapid, `proactive' approach to collect data about incidents through crowd-generated observational reports.
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Traffic Accident Detection
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Experimental evaluation of quantum Bayesian networks on IBM QX hardware
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference.
Quantum circuit representation of Bayesian networks
We develop a systematic method for designing a quantum circuit to represent a generic discrete Bayesian network with nodes that may have two or more states, where nodes with more than two states are mapped to multiple qubits.
Quantum Physics Computational Engineering, Finance, and Science
