APA (7th ed.) Citation

Wu, K., Hsia, I., Kow, P., Chang, L., & Chang, F. (2023). High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data. Journal of cleaner production, 433, 139825. https://doi.org/10.1016/j.jclepro.2023.139825

Chicago Style (17th ed.) Citation

Wu, Kuan-Yen, I-Wen Hsia, Pu-Yun Kow, Li-Chiu Chang, and Fi-John Chang. "High-spatiotemporal-resolution PM2.5 Forecasting by Hybrid Deep Learning Models with Ensembled Massive Heterogeneous Monitoring Data." Journal of Cleaner Production 433 (2023): 139825. https://doi.org/10.1016/j.jclepro.2023.139825.

MLA (9th ed.) Citation

Wu, Kuan-Yen, et al. "High-spatiotemporal-resolution PM2.5 Forecasting by Hybrid Deep Learning Models with Ensembled Massive Heterogeneous Monitoring Data." Journal of Cleaner Production, vol. 433, 2023, p. 139825, https://doi.org/10.1016/j.jclepro.2023.139825.