Yu, D.; Huang, X.; Zang, H.; Li, Y.; Qin, Y.; Li, D.
Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19. ISPRS Int. J. Geo-Inf. 2023, 12, 69.
https://doi.org/10.3390/ijgi12020069
AMA Style
Yu D, Huang X, Zang H, Li Y, Qin Y, Li D.
Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19. ISPRS International Journal of Geo-Information. 2023; 12(2):69.
https://doi.org/10.3390/ijgi12020069
Chicago/Turabian Style
Yu, Demiao, Xiaoran Huang, Hengyi Zang, Yuanwei Li, Yuchen Qin, and Daoyong Li.
2023. "Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19" ISPRS International Journal of Geo-Information 12, no. 2: 69.
https://doi.org/10.3390/ijgi12020069
APA Style
Yu, D., Huang, X., Zang, H., Li, Y., Qin, Y., & Li, D.
(2023). Multi-Source Data and Machine Learning-Based Refined Governance for Responding to Public Health Emergencies in Beijing: A Case Study of COVID-19. ISPRS International Journal of Geo-Information, 12(2), 69.
https://doi.org/10.3390/ijgi12020069