隋青美
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Paper Publications
- [9] 王译那. Direct Observation of Monolayer MoS2 Prepared by CVD Using In-Situ Dierential Reflectance Spectroscopy. Nanomaterials , 2019.
- [10] 王正方. Unsupervised learning method for rebar signal suppression and defect signal reconstruction and detection in ground penetrating radar images. MEASUREMENT, 211, 2023.
- [11] 赵津. Layout Optimization of FBG Sensor for Aluminum Alloy Beam Based on MOLA Multiobjective Optimization Algorithm. IEEE Sensors Journal, 23, 14129, 2023.
- [12] 王译那. In-situ variable reflectance spectra model of two-dimensional material prepared by CVD. journal of crystal growth, 559, 2021.
- [13] 王正方. Deep learning based distortion restoration and defect segmentation from linear scanning camera images. MEASUREMENT SCIENCE AND TECHNOLOGY, 34, 2023.
- [14] 王静. N-LoLiGan: Unsupervised low-light enhancement GAN with an N-Net for low-light tunnel images. Digital Signal Processing, 143, 2023.
- [15] 王正方. Unsupervised deep learning-based ground penetrating radar image translation for internal defect recognition of underground engineering structures. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 00, 2023.
- [16] 刘涵池. Semisupervised Deep Neural Network-Based Cross-Frequency Ground-Penetrating Radar Data Inversion. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING , 61, 2023.
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