Wu, J., Dai, Q., & Song, S. (2024). Optimizing BenMAP health impact assessment with meteorological factor driven machine learning models. The Science of the total environment, 949, 175246. https://doi.org/10.1016/j.scitotenv.2024.175246
Chicago Style (17th ed.) CitationWu, Juncheng, Qili Dai, and Shaojie Song. "Optimizing BenMAP Health Impact Assessment with Meteorological Factor Driven Machine Learning Models." The Science of the Total Environment 949 (2024): 175246. https://doi.org/10.1016/j.scitotenv.2024.175246.
MLA (9th ed.) CitationWu, Juncheng, et al. "Optimizing BenMAP Health Impact Assessment with Meteorological Factor Driven Machine Learning Models." The Science of the Total Environment, vol. 949, 2024, p. 175246, https://doi.org/10.1016/j.scitotenv.2024.175246.