APA (7th ed.) Citation

Zhang, R., Zhou, K., Shen, S., Pang, J., & Cao, Z. (2026). PINN-LSTM: A High-Precision Physics-Informed Neural Network for Solving Malware Propagation Dynamics in Wireless Sensor Networks. Symmetry (20738994), 18(5), 707. https://doi.org/10.3390/sym18050707

Chicago Style (17th ed.) Citation

Zhang, Rui, Kai Zhou, Shoufeng Shen, Jiafu Pang, and Zhiyi Cao. "PINN-LSTM: A High-Precision Physics-Informed Neural Network for Solving Malware Propagation Dynamics in Wireless Sensor Networks." Symmetry (20738994) 18, no. 5 (2026): 707. https://doi.org/10.3390/sym18050707.

MLA (9th ed.) Citation

Zhang, Rui, et al. "PINN-LSTM: A High-Precision Physics-Informed Neural Network for Solving Malware Propagation Dynamics in Wireless Sensor Networks." Symmetry (20738994), vol. 18, no. 5, 2026, p. 707, https://doi.org/10.3390/sym18050707.