Single particle mass spectral signatures from on-road and non-road vehicle exhaust particles and their application in refined source apportionment using deep learning.

MLA

Xu, Yongjiang, et al. “Single Particle Mass Spectral Signatures from On-Road and Non-Road Vehicle Exhaust Particles and Their Application in Refined Source Apportionment Using Deep Learning.” The Science of the Total Environment, vol. 930, June 2024, p. 172822. EBSCOhost, https://doi.org/10.1016/j.scitotenv.2024.172822.

APA

Xu, Y., Wang, Z., Pei, C., Wu, C., Huang, B., Cheng, C., Zhou, Z., & Li, M. (2024). Single particle mass spectral signatures from on-road and non-road vehicle exhaust particles and their application in refined source apportionment using deep learning. The Science of the Total Environment, 930, 172822. https://doi.org/10.1016/j.scitotenv.2024.172822

Chicago

Xu, Yongjiang, Zaihua Wang, Chenglei Pei, Cheng Wu, Bo Huang, Chunlei Cheng, Zhen Zhou, and Mei Li. 2024. “Single Particle Mass Spectral Signatures from On-Road and Non-Road Vehicle Exhaust Particles and Their Application in Refined Source Apportionment Using Deep Learning.” The Science of the Total Environment 930 (June): 172822. doi:10.1016/j.scitotenv.2024.172822.