Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems
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DOI: 10.1016/j.buildenv.2020.107135
Abstract: Abstract Missing data represents a common problem in environmental and building-related processes, especially in the indoor air quality (IAQ) system of subway stations, where the collected information leads to actions in ventilation management. For these… read more here.
Keywords: data via; ventilation management; management; air quality ... See more keywords