隋青美
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Paper Publications
- [25] 王译那. In-situ variable reflectance spectra model of two-dimensional material prepared by CVD. 晶体生长, 559, 2021.
- [26] 王正方. Unsupervised learning method for rebar signal suppression and defect signal reconstruction and detection in ground penetrating radar images. Measurement: Journal of the International Measurement Confederation, 211, 2023.
- [27] 张艺蓝. Intelligent fault diagnosis of rolling bearing using the ensemble self-taught learning convolutional auto-encoders. IET Science Measurement & Technology, 16, 130, 2021.
- [28] 王正方. Convolutional neural-network-based automatic dam-surface seepage defect identification from thermograms collected from UAV-mounted thermal imaging camera. CONSTRUCTION AND BUILDING MATERIALS, 323, 2022.
- [29] 李亦佳. 基于多重同步压缩变换的微震信号去噪方法研究. 《应用基础与工程科学学报》, 30, 486, 2022.
- [30] 杨森林. Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network. CONSTRUCTION AND BUILDING MATERIALS, 319, 2022.
- [31] 王静. GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines. IEEE Transactions on Geoscience and Remote Sensing, 60, 2021.
- [32] 赵高争. Third harmonic approximate phase velocity matching nonlinear early fatigue damage detection. Measurement: Journal of the International Measurement Confederation, 189, 2022.
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