Dambros, J. W. V., Trierweiler, J. O., Farenzena, M., & Kloft, M. (2019). Oscillation Detection in Process Industries by a Machine Learning-Based Approach. Industrial & engineering chemistry research, 58(31), 14180-14192. https://doi.org/10.1021/acs.iecr.9b01456
Chicago Style (17th ed.) CitationDambros, Jônathan W. V., Jorge O. Trierweiler, Marcelo Farenzena, and Marius Kloft. "Oscillation Detection in Process Industries by a Machine Learning-Based Approach." Industrial & Engineering Chemistry Research 58, no. 31 (2019): 14180-14192. https://doi.org/10.1021/acs.iecr.9b01456.
MLA (9th ed.) CitationDambros, Jônathan W. V., et al. "Oscillation Detection in Process Industries by a Machine Learning-Based Approach." Industrial & Engineering Chemistry Research, vol. 58, no. 31, 2019, pp. 14180-14192, https://doi.org/10.1021/acs.iecr.9b01456.