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Continual learning of a time series model using a mixture of HMMs with application to the IoT fuel sensor verification
This paper presents an application of a mixture of Hidden Markov Models (HMMs) as a tool
for verification of IoT fuel sensors. The IoT fuel sensors report the level of fuel in tanks of a …
for verification of IoT fuel sensors. The IoT fuel sensors report the level of fuel in tanks of a …