Shengli, L., & Yongtu, L. (2019). Exploring the temporal structure of time series data for hazardous liquid pipeline incidents based on complex network theory. International journal of critical infrastructure protection, 26, 100308. https://doi.org/10.1016/j.ijcip.2019.100308
Chicago-Zitierstil (17. Ausg.)Shengli, Liu, und Liang Yongtu. "Exploring the Temporal Structure of Time Series Data for Hazardous Liquid Pipeline Incidents Based on Complex Network Theory." International Journal of Critical Infrastructure Protection 26 (2019): 100308. https://doi.org/10.1016/j.ijcip.2019.100308.
MLA-Zitierstil (9. Ausg.)Shengli, Liu, und Liang Yongtu. "Exploring the Temporal Structure of Time Series Data for Hazardous Liquid Pipeline Incidents Based on Complex Network Theory." International Journal of Critical Infrastructure Protection, vol. 26, 2019, p. 100308, https://doi.org/10.1016/j.ijcip.2019.100308.