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S Gareth Pierce

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Neural Networks|November 30, 2006
Evaluation of neural network robust reliability using information-gap theoryS Gareth Pierce, Yakov Ben-Haim, Keith Worden, et al.
Ultrasonics|November 25, 2010
Simulation of ultrasonic lamb wave generation, propagation and detection for a reconfigurable air coupled scannerGordon Dobie, Andrew Spencer, Kenneth Burnham, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|June 3, 2024
Advancing Carbon Fiber Composite Inspection: Deep Learning-Enabled Defect Localization and Sizing via 3-D U-Net Segmentation of Ultrasonic DataShaun McKnight, Vedran Tunukovic, S Gareth Pierce, et al.
The International Journal of Prosthodontics|March 8, 2017
Clinical Monitoring of Tooth Wear Progression in Patients over a Period of One Year Using CAD/CAMKhaled E Ahmed, John Whitters, Xiangyang Ju, et al.
The International Journal of Prosthodontics|September 10, 2016
A Proposed Methodology to Assess the Accuracy of 3D Scanners and Casts and Monitor Tooth Wear Progression in PatientsKhaled E Ahmed, John Whitters, Xiangyang Ju, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|January 12, 2024
Three-Dimensional Residual Neural Architecture Search for Ultrasonic Defect DetectionShaun McKnight, Christopher Mackinnon, S Gareth Pierce, et al.
Ultrasonics|April 11, 2024
Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic compositesVedran Tunukovic, Shaun McKnight, Richard Pyle, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|November 30, 2006
Evaluation of neural network robust reliability using information-gap theoryS Gareth Pierce, Yakov Ben-Haim, Keith Worden, et al.
Ultrasonics|November 25, 2010
Simulation of ultrasonic lamb wave generation, propagation and detection for a reconfigurable air coupled scannerGordon Dobie, Andrew Spencer, Kenneth Burnham, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|June 3, 2024
Advancing Carbon Fiber Composite Inspection: Deep Learning-Enabled Defect Localization and Sizing via 3-D U-Net Segmentation of Ultrasonic DataShaun McKnight, Vedran Tunukovic, S Gareth Pierce, et al.
The International Journal of Prosthodontics|March 8, 2017
Clinical Monitoring of Tooth Wear Progression in Patients over a Period of One Year Using CAD/CAMKhaled E Ahmed, John Whitters, Xiangyang Ju, et al.
The International Journal of Prosthodontics|September 10, 2016
A Proposed Methodology to Assess the Accuracy of 3D Scanners and Casts and Monitor Tooth Wear Progression in PatientsKhaled E Ahmed, John Whitters, Xiangyang Ju, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|January 12, 2024
Three-Dimensional Residual Neural Architecture Search for Ultrasonic Defect DetectionShaun McKnight, Christopher Mackinnon, S Gareth Pierce, et al.
Ultrasonics|April 11, 2024
Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic compositesVedran Tunukovic, Shaun McKnight, Richard Pyle, et al.
Pageof 1