1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., .... Zheng, X. (2016). TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283).
2. Data-driven structural health monitoring and damage detection through deep learning: state-of-the-art review;Azimi;Sensors,2020
3. Machine learning paradigm for structural health monitoring;Bao;Structural Health Monitoring,2021
4. Local residual random forest classifier for strain-based damage detection and localization in aerospace sandwich structures;Bergmayr;Composite Structures,2023
5. Guided wave based crack detection in the rivet hole using global analytical with local FEM approach;Bhuiyan;Materials,2016