- Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis. In: Construction and Building Materials, v. 439 (August 2024). (2024):
- Enhancing damage detection in truss bridges through structural stiffness reduction using 1DCNN, BiLSTM, and data augmentation techniques. In: Structures, v. 68 (October 2024). (2024):
- A novel approach model design for signal data using 1DCNN combing with LSTM and ResNet for damaged detection problem. In: Structures, v. 59 (January 2024). (2024):
- A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures. In: Case Studies in Construction Materials, v. 17 (December 2022). (2022):
- Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network. In: Frattura ed Integrità Strutturale, v. 16, n. 59 (22 December 2021). (2021):
- Stiffness Identification of Truss Joints of the Nam O Bridge Based on Vibration Measurements and Model Updating. Presented at: ARCH 2019, 9th International Conference on Arch Bridges, 2-4 October 2019, Porto, Portugal. (2019):