Automatic sewer defect detection and severity quantification based on pixel-level semantic segmentation Q Zhou, Z Situ, S Teng, H Liu, W Chen, G Chen Tunnelling and Underground Space Technology 123, 104403, 2022 | 34 | 2022 |
Convolutional neural networks–based model for automated sewer defects detection and classification Q Zhou, Z Situ, S Teng, G Chen Journal of Water Resources Planning and Management 147 (7), 04021036, 2021 | 25 | 2021 |
Automated Sewer Defects Detection Using Style-based Generative Adversarial Networks and Fine-tuned Well-known CNN Classifier Z Situ, S Teng, H Liu, J Luo, Q Zhou IEEE Access 9, 59498-59507, 2021 | 24 | 2021 |
A deep-learning-technique-based data-driven model for accurate and rapid flood predictions in temporal and spatial dimensions Q Zhou, S Teng, Z Situ, X Liao, J Feng, G Chen, J Zhang, Z Lu Hydrology and Earth System Sciences 27 (9), 1791-1808, 2023 | 15* | 2023 |
Real-time sewer defect detection based on YOLO network, transfer learning, and channel pruning algorithm Z Situ, S Teng, X Liao, G Chen, Q Zhou Journal of Civil Structural Health Monitoring 14 (1), 41-57, 2024 | 10 | 2024 |
A transfer learning-based YOLO network for sewer defect detection in comparison to classic object detection methods Z Situ, S Teng, W Feng, Q Zhong, G Chen, J Su, Q Zhou Developments in the Built Environment 15, 100191, 2023 | 10 | 2023 |
Comparison of classic object-detection techniques for automated sewer defect detection Q Zhou, Z Situ, S Teng, W Chen, G Chen, J Su Journal of Hydroinformatics 24 (2), 406-419, 2022 | 8 | 2022 |
Improving urban flood prediction using LSTM-DeepLabv3+ and Bayesian optimization with spatiotemporal feature fusion Z Situ, Q Wang, S Teng, W Feng, G Chen, Q Zhou, G Fu Journal of Hydrology 630, 130743, 2024 | 4 | 2024 |
Comparative effectiveness of data augmentation using traditional approaches versus styleGANs in automated sewer defect detection Q Zhou, Z Situ, S Teng, G Chen Journal of Water Resources Planning and Management 149 (9), 04023045, 2023 | 1 | 2023 |
Deep learning, geometric characterization and hydrodynamic modeling for assessing sewer defect impacts on urban flooding: A case study in Guangzhou, China Q Zhou, Z Situ, W Feng, H Liu, X Liao, J Zhang, X Ge, G Chen Journal of Environmental Management 351, 119689, 2024 | | 2024 |