| Developing iot sensing system for construction-induced vibration monitoring and impact assessment Q Meng, S Zhu Sensors 20 (21), 6120, 2020 | 40 | 2020 |
| A smartphone-enabled IoT system for vibration and noise monitoring of rail transit Q Meng, P Lu, S Zhu IEEE internet of things journal 10 (10), 8907-8917, 2023 | 21 | 2023 |
| Anomaly detection for construction vibration signals using unsupervised deep learning and cloud computing Q Meng, S Zhu Advanced engineering informatics 55, 101907, 2023 | 16 | 2023 |
| Construction activity classification based on vibration monitoring data: A supervised deep-learning approach with time series RandAugment Q Meng, S Zhu Journal of Construction Engineering and Management 148 (9), 04022090, 2022 | 8 | 2022 |
| Semi-supervised deep learning for recognizing construction activity types from vibration monitoring data Q Meng, S Wang, S Zhu Automation in Construction 152, 104910, 2023 | 4 | 2023 |
| Numerical prediction of ground-borne vibrations due to continuous vibratory driving of circular closed-ended piles S Wang, Q Meng, L Zhu, S Zhu Soil Dynamics and Earthquake Engineering 186, 108935, 2024 | | 2024 |
| Vibration monitoirng system and vibration monitoring method SZ Qiuhan Meng HK Patent App. 32024088343.1, 2024 | | 2024 |
| Deep learning-based construction activity recognition with vibration monitoring data SZ Qiuhan Meng Proceedings of the 3rd ZHITU Symposium on Advances in Civil Engineering, 2023 | | 2023 |
| Internet of things and deep learning for construction-induced vibration monitoring Q Meng Hong Kong Polytechnic University, 2022 | | 2022 |
| IoT-based monitoring and assessment system for construction-induced vibration SZ Qiuhan Meng Proceedings of the 14th International Workshop on Advanced Smart Materials …, 2019 | | 2019 |
| Development of cloud-based real-time vibration monitoring platform for hospital construction projects SZ Qiuhan Meng Proceedings of the 9th Cross-strait Summer School on Monitoring and Control …, 2018 | | 2018 |
| The application of building information modeling (BIM) in civil infrastructure projects Q Meng Hong Kong Polytechnic University, 2016 | | 2016 |
Songye Zhu (朱松晔)Professor of Structural Engineering, Hong Kong Polytechnic Universityยืนยันอีเมลแล้วที่ polyu.edu.hk