Wang, M.; Zhang, B.; Zhan, S.; Yang, L.; Jiang, L.; Wang, Y.
Micro-Computed Tomography Non-Destructive Testing and Defect Quantitative Analysis of Carbon Fiber-Reinforced Polymer, Glass Fiber-Reinforced Polymer and Carbon/Glass Hybrid Laminates Using Deep Learning Recognition. Appl. Sci. 2025, 15, 12192.
https://doi.org/10.3390/app152212192
AMA Style
Wang M, Zhang B, Zhan S, Yang L, Jiang L, Wang Y.
Micro-Computed Tomography Non-Destructive Testing and Defect Quantitative Analysis of Carbon Fiber-Reinforced Polymer, Glass Fiber-Reinforced Polymer and Carbon/Glass Hybrid Laminates Using Deep Learning Recognition. Applied Sciences. 2025; 15(22):12192.
https://doi.org/10.3390/app152212192
Chicago/Turabian Style
Wang, Mingmeng, Bo Zhang, Shiyu Zhan, Long Yang, Lanxin Jiang, and Yujia Wang.
2025. "Micro-Computed Tomography Non-Destructive Testing and Defect Quantitative Analysis of Carbon Fiber-Reinforced Polymer, Glass Fiber-Reinforced Polymer and Carbon/Glass Hybrid Laminates Using Deep Learning Recognition" Applied Sciences 15, no. 22: 12192.
https://doi.org/10.3390/app152212192
APA Style
Wang, M., Zhang, B., Zhan, S., Yang, L., Jiang, L., & Wang, Y.
(2025). Micro-Computed Tomography Non-Destructive Testing and Defect Quantitative Analysis of Carbon Fiber-Reinforced Polymer, Glass Fiber-Reinforced Polymer and Carbon/Glass Hybrid Laminates Using Deep Learning Recognition. Applied Sciences, 15(22), 12192.
https://doi.org/10.3390/app152212192
