Estimating mass-absorption cross-section of ambient black carbon aerosols: Theoretical, empirical, and machine learning models

Implementing raspberry Pi for tracking black carbon with machine learning in climate monitoring

“…Five models were used by [37] for the computation of the atmospheric black carbon mass-absorption sampling, including three theories of light scattering, an empirical design based on measurements of particle mass concentrations, and a machine learning design created in their earlier work. The designs were assessed using the factors of accuracy and simplicity.…”