Litcius/Paper detail

Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems

Jorge Loy-Benitez, SungKu Heo, ChangKyoo Yoo

2020Building and Environment51 citationsDOI

Topics & Concepts

Imputation (statistics)Missing dataIndoor air qualityVentilation (architecture)Computer scienceAir quality indexData miningEnvironmental scienceEngineeringEnvironmental engineeringMachine learningMeteorologyMechanical engineeringPhysicsAir Quality Monitoring and ForecastingAir Quality and Health ImpactsSmart Materials for Construction
Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems | Litcius