Cite
Lower operating costs by predicting unscheduled downtime with machine learning.
MLA
Tignibidin, A. V., et al. “Lower Operating Costs by Predicting Unscheduled Downtime with Machine Learning.” AIP Conference Proceedings, vol. 2285, no. 1, June 2020, pp. 1–4. EBSCOhost, https://doi.org/10.1063/5.0026925.
APA
Tignibidin, A. V., Panin, Y. N., Rusanova, A. D., Myshlyavtsev, A. V., Likholobov, V. A., & Yusha, V. L. (2020). Lower operating costs by predicting unscheduled downtime with machine learning. AIP Conference Proceedings, 2285(1), 1–4. https://doi.org/10.1063/5.0026925
Chicago
Tignibidin, A. V., Y. N. Panin, A. D. Rusanova, Alexander V Myshlyavtsev, Vladimir A Likholobov, and Vladimir L Yusha. 2020. “Lower Operating Costs by Predicting Unscheduled Downtime with Machine Learning.” AIP Conference Proceedings 2285 (1): 1–4. doi:10.1063/5.0026925.