Pastorio, A. F., Spanhol, F. A., Martins, L. D., & de Camargo, E. T. (2022, November 21). A Machine Learning-Based Approach to Calibrate Low-Cost Particulate Matter Sensors. Brazilian Symposium on Computing System Engineering, 1-8. https://doi.org/10.1109/SBESC56799.2022.9964983
Chicago Style (17th ed.) CitationPastorio, Andre F., Fabio A. Spanhol, Leila D. Martins, and Edson T. de Camargo. "A Machine Learning-Based Approach to Calibrate Low-Cost Particulate Matter Sensors." Brazilian Symposium on Computing System Engineering 21 Nov. 2022: 1-8. https://doi.org/10.1109/SBESC56799.2022.9964983.
MLA (9th ed.) CitationPastorio, Andre F., et al. "A Machine Learning-Based Approach to Calibrate Low-Cost Particulate Matter Sensors." Brazilian Symposium on Computing System Engineering, 21 Nov. 2022, pp. 1-8, https://doi.org/10.1109/SBESC56799.2022.9964983.