| Deep learning for ultrasonic crack characterization in NDE RJ Pyle, RLT Bevan, RR Hughes, RK Rachev, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2020 | 81 | 2020 |
| Uncertainty quantification for deep learning in ultrasonic crack characterization RJ Pyle, RR Hughes, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022 | 23 | 2022 |
| Domain adapted deep-learning for improved ultrasonic crack characterization using limited experimental data RJ Pyle, RLT Bevan, RR Hughes, AAS Ali, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 69 …, 2022 | 10 | 2022 |
| Potential and limitations of NARX for defect detection in guided wave signals XL Tu, RJ Pyle, AJ Croxford, PD Wilcox Structural Health Monitoring 22 (3), 1863-1875, 2023 | 5 | 2023 |
| Interpretable and explainable machine learning for ultrasonic defect sizing RJ Pyle, RR Hughes, PD Wilcox IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 70 …, 2023 | 3 | 2023 |
| Compression for ultrasonic phased array imaging: compressive sensing and wavelet thresholding R Pyle, R Bevan, P Wilcox Review of Progress in Quantitative Nondestructive Evaluation, 2019 | 2 | 2019 |
| A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics V Tunukovic, S McKnight, E Mohseni, SG Pierce, R Pyle, E Duernberger, ... NDT & E International 144, 103094, 2024 | | 2024 |
| Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites V Tunukovic, S McKnight, R Pyle, Z Wang, E Mohseni, SG Pierce, ... Ultrasonics, 107313, 2024 | | 2024 |
| Eddy currents and ultrasonic testing data fusion for Wire+ Arc Additive Manufacturing E Mohseni, V Tunukovic, S McKnight, R Zimermann, R Pyle, A Poole, ... 60th Annual British Conference on NDT, 2023 | | 2023 |
| Ultrasound B-scan defect detection in carbon fibre-reinforced plastic composites with NDT machine learning algorithms V Tunukovic, S McKnight, R Pyle, Z Wang, E Mohseni, G Pierce, G Dobie, ... 60th Annual British Conference on NDT, 2023 | | 2023 |
| Data fusion for multi-modal in-process non-destructive evaluation of Wire+ Arc Additive Manufacturing E Mohseni, S McKnight, V Tunukovic, R Zimermann, R Pyle, MK Rizwan, ... IEEE International Ultrasonics Symposium 2023, 2023 | | 2023 |
| Machine learning for real-time inversion of locally anisotropic weld properties using in-process layer by layer ultrasonic array measurements R Pyle, CN MacLeod, KMM Tant, N Sweeney, J Ludlam, E Nicolson, ... IEEE International Ultrasonics Symposium 2023, 2023 | | 2023 |
| Automated deep learning for defect detection in carbon fibre reinforced plastic composites V Tunukovic, S McKnight, E Mohseni, SG Pierce, R Pyle, E Duernberger, ... 50th Annual Review of Progress in Quantitative Nondestructive Evaluation, 2023 | | 2023 |
| Application of machine learning techniques for defect detection, localisation, and sizing in ultrasonic testing of carbon fibre reinforced polymers V Tunukovic, S McKnight, SG Pierce, E Mohseni, CN MacLeod, R Pyle, ... BINDT Aerospace Event 2023, 2023 | | 2023 |
| Mapping SEARCH capabilities to Spirit AeroSystems NDE and automation demand for composites E Mohseni, SG Pierce, RWK Vithanage, CN MacLeod, G Dobie, ... BINDT Aerospace Event 2023, 2023 | | 2023 |
| Application of machine learning to ultrasonic nondestructive evaluation R Pyle, P Wilcox, RR Hughes, RLT Bevan University of Bristol, 2023 | | 2023 |
Paul D WilcoxUniversity of BristolVerified email at bristol.ac.uk
