Zhao, X., Gao, Z., Li, M., Han, Z., & Zhu, J. Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance. IEEE.
Chicago Style (17th ed.) CitationZhao, Xin, Zeyuan Gao, 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.
MLA (9th ed.) CitationZhao, Xin, 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.
Warning: These citations may not always be 100% accurate.