APA (7th ed.) Citation

Gao, Z., Zhao, X., Li, M., Han, Z., & Zhu, J. (2025). Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance. IEEE access, 13, 1. https://doi.org/10.1109/ACCESS.2025.3551508

Chicago Style (17th ed.) Citation

Gao, Zeyuan, Xin Zhao, Meng Li, Zhibin Han, and Jianjian Zhu. "Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance." IEEE Access 13 (2025): 1. https://doi.org/10.1109/ACCESS.2025.3551508.

MLA (9th ed.) Citation

Gao, Zeyuan, et al. "Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance." IEEE Access, vol. 13, 2025, p. 1, https://doi.org/10.1109/ACCESS.2025.3551508.