代表性学术论文 |
[1] Li, C., Li, H., Chen, K., & Bao, Z. (2025). Semi-supervised point cloud semantic segmentation via cross-learning for sewer inspection. Advanced Engineering Informatics, 66, 103399. [2] Li, C., Li, H., & Chen, K. (2024). Convolutional point transformer for semantic segmentation of sewer sonar point clouds. Engineering Applications of Artificial Intelligence, 138, 109456. [3] Li, C., Chen, K., Bao, Z., & Ng, S. T. (2024). Hybrid knowledge and data driven approach for prioritizing sewer sediment cleaning. Automation in Construction, 165, 105577. [4] Li, C., Chen, K., Li, H., & Luo, H. (2024). Multisensor data fusion approach for sediment assessment of sewers in operation. Engineering Applications of Artificial Intelligence, 132, 107965. [5] Liu, W., Shao, Y., Chen, K., Li, C., & Luo, H. (2022). Whale optimization algorithm-based point cloud data processing method for sewer pipeline inspection. Automation in Construction, 141, 104423. [6] Wei, W., Ding, L., Luo, H., Li, C., & Li, G. (2021). Automated bughole detection and quality performance assessment of concrete using image processing and deep convolutional neural networks. Construction and Building Materials, 281, 122576. [7] Liu, W., Shao, Y., Li, C., Li, C., & Jiang, Z. (2023). Development of a non-Gaussian copula Bayesian network for safety assessment of metro tunnel maintenance. Reliability Engineering & System Safety, 238, 109423. |
专利 |
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