1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., et al., 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. Ahmed, S., Kopsaftopoulos, F., 2019. Uncertainty quantification of guided waves propagation for active sensing structural health monitoring. In: Proceedings of the Vertical Flight Society 75th Annual Forum & Technology Display, Philadelphia, PA, USA. pp. 13–16.
3. Stochastic identification of guided wave propagation under ambient temperature via non-stationary time series models;Ahmed;Sensors,2021
4. Amer, A., Kopsaftopoulos, F., 2019. Probabilistic active sensing acousto-ultrasound SHM based on non-parametric stochastic representations. In: Proceedings of the Vertical Flight Society 75th Annual Forum & Technology Display. Philadelphia, PA, USA.
5. A Bayesian deep learning framework for reliable fault diagnosis in wind turbine gearboxes under various operating conditions;Amin;Wind Eng.,2023