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 Style (17th ed.) CitationShengli, Liu, and 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 (9th ed.) CitationShengli, Liu, and 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.