Predicting the distribution of COVID-19 through CGAN—Taking Macau as an example

Predicting the distribution of COVID-19 through CGAN—Taking Macau as an example

Machine learning (ML) is an innovative method that is widely used in data prediction. Predicting the COVID-19 distribution using ML is essential for urban security risk assessment and governance. This study uses conditional generative adversarial network (CGAN) to construct a method to predict the C...

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Bibliographic Details
Main Authors: Liang Zheng, Yile Chen, Shan Jiang, Junxin Song, Jianyi Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Big Data
Subjects:
urban public health
machine learning
epidemic hotspots
CGAN
risk assessment
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2023.1008292/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2023.1008292/full

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