A calibrated nine-sensor IoT array with sequential Monte Carlo Bayesian inference localizes a water vapor source to within 10-20 percent of the sensor spacing.
Gonz´ alez-Mart ´ ın, N
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Enhanced Gas Source Localization Using Distributed IoT Sensors and Bayesian Inference
A calibrated nine-sensor IoT array with sequential Monte Carlo Bayesian inference localizes a water vapor source to within 10-20 percent of the sensor spacing.