Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems | ||
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Jorge Loy-Benitez, Sungku Heo, ChangKyoo Yoo*, Imputing missing indoor air quality data via variational convolutional autoencoders: Implications for ventilation management of subway metro systems, Building and Environment (ISSN: 0360-1323, SCI, Top 2% journal: Civil Eng.), Elsevier, 182, pp.107135 (2020.09) (Ack:2017R1E1A1A03070713 | Fine Dust Reduction Technology(20QPPW-B152306-02) |
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이전글 | An autonomous operational trajectory searching system for an economic and environmental membrane bioreactor plant using deep reinforcement learning | |
다음글 | Smart supply-side management of optimal hydro reservoirs using the water/energy nexus concept: A hydropower pinch analysis |