Subject
General Earth and Planetary Sciences
Reference75 articles.
1. Aguilera, R., Luo, N., Basu, R., Wu, J., Clemesha, R., Gershunov, A., Benmarhnia, T., 2023. A novel ensemble-based statistical approach to estimate daily wildfire-specific PM2.5 in California (2006–2020). Environ. Int. 171, 107719. 10.1016/j.envint.2022.107719.
2. Comparison of satellite-based PM2.5 estimation from aerosol optical depth and top-of-atmosphere reflectance;Bai;Aerosol Ari Qual. Res.,2021
3. A comparative analysis of gradient boosting algorithms;Bentéjac;Artif. Intell. Rev.,2021
4. Chen, T., Guestrin, C., 2016. XGBoost: A Scalable Tree Boosting System. 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 785–794. 10.1145/2939672.2939785.
5. The comparison of AOD-based and non-AOD prediction models for daily PM2.5 estimation in Guangdong province, China with poor AOD coverage;Chen;Environ. Res.,2021
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献