Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation | ||
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Jorge Loy-Benitez, Qian Li, KiJeon Nam, ChangKyoo Yoo*, Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation, Sustainable Cities and Society (ISSN: 2210-6707, SCIE, Top JCR 10% journal –Construction & Building), Elsevier, 52(1), pp. 101847– (2020.01) (Ack (2개): NRF:2017R1E1A1A03070713 & Subway Fine Dust: 19QPPW-B152306-01) |
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이전글 | A deep reinforcement learning-based autonomous ventilation control system for smart indoor air quality management in a subway station | |
다음글 | Process Assessment of a Full-scale Wastewater Treatment Plant Using Reliability, Resilience, and Econo-Socio-Environmental Analyses (R2ESE) |