Abstract
The article presents a way to improve the system for monitoring the integrity of telemetric information received from a mobile object. The method is based on comparing telemetry information received from a mobile object and information generated by a model. The comparison is carried out on the basis of proximity metrics of technological time series using deep learning neural networks
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