An Improved CNN-Based Algorithm for Quantitative Prediction of Impact Damage Depth in Civil Aircraft Composites via Multi-Domain Terahertz Spectroscopy - Zhang, Huazhong; Yin, Hongbiao; Lei, Xia; Xing, Xiaoqing; Zhong, Mian; Yang, Rong; Liu, Zeguo; Li, Shouqing; Mo, Zhenguang (Electronics (Basel), 2025)
Keywords: Ablation; Accuracy; Aeronautics; Air safety; Aircraft; Algorithms; Artificial neural networks; Aviation; Carbon fibers; Classification; Composite materials; Composite structures; Damage assessment; Defects; Feature extraction; Fiber composites; Fourier transforms; Impact damage; Methods; Morphology; Neural networks; Nondestructive testing; Propagation; Quantitative analysis; Root-mean-square errors; Scanning microscopy; Spectrum analysis; Stability; Terahertz frequencies