TD Kernel DM+V: Time-Dependent Statistical Gas Distribution Modelling on Simulated Measurements


To study gas dispersion, several statistical gas distribution modelling approaches have been proposed recently. A crucial assumption in these approaches is that gas distribution models are learned from measurements that are generated by a time-invariant random process. While a time-independent random process can capture certain fluctuations in the gas… (More)


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