Cite
Probabilistic occupancy forecasting for risk-aware optimal ventilation through autoencoder Bayesian deep neural networks.
MLA
Zhuang, Chaoqun, et al. “Probabilistic Occupancy Forecasting for Risk-Aware Optimal Ventilation through Autoencoder Bayesian Deep Neural Networks.” Building & Environment, vol. 219, July 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.buildenv.2022.109207.
APA
Zhuang, C., Choudhary, R., & Mavrogianni, A. (2022). Probabilistic occupancy forecasting for risk-aware optimal ventilation through autoencoder Bayesian deep neural networks. Building & Environment, 219, N.PAG. https://doi.org/10.1016/j.buildenv.2022.109207
Chicago
Zhuang, Chaoqun, Ruchi Choudhary, and Anna Mavrogianni. 2022. “Probabilistic Occupancy Forecasting for Risk-Aware Optimal Ventilation through Autoencoder Bayesian Deep Neural Networks.” Building & Environment 219 (July): N.PAG. doi:10.1016/j.buildenv.2022.109207.