1-4 of 4
Austin Yunker
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles

Evaluating Model Robustness for Defect Identification and Classification in a Composite Aerostructure Material

Austin Yunker, Rami Lake, Rajkumar Kettimuthu, Zachary Kral
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2025, 8(1): 011001.
Paper No: NDE-23-1045
https://doi.org/10.1115/1.4065474
Published Online: July 26, 2024
View Article titled, Evaluating Model Robustness for Defect Identification and Classification in a Composite Aerostructure Material
Open the PDF for Evaluating Model Robustness for Defect Identification and Classification in a Composite Aerostructure Material in another window
Topics: Composite materials, Convolutional neural networks, Deep learning, Nondestructive evaluation, Robustness, Signals, Architecture, Ultrasonic testing, Inspection, Testing
Proceedings Papers

OC-DICAM: One Class Defect Identification in Composite Aerostructure Material

Austin Yunker, Rajkumar Kettimuthu, Zachary Kral
Proc. ASME. SSDM2024, ASME 2024 Aerospace Structures, Structural Dynamics, and Materials Conference, V001T01A013, April 29–May 1, 2024
Publisher: American Society of Mechanical Engineers
Paper No: SSDM2024-121466
https://doi.org/10.1115/SSDM2024-121466
View Paper titled, OC-DICAM: One Class Defect Identification in Composite Aerostructure Material
Open the PDF for OC-DICAM: One Class Defect Identification in Composite Aerostructure Material in another window
Topics: Composite materials, Nondestructive evaluation, Ultrasonic testing, Manufacturing, Workflow, Aircraft, Artificial intelligence, Compression, Computers, Deep learning
Proceedings Papers

Comparative Study on Deep Learning Methods for Defect Identification and Classification in Composite Aerostructure Material

Austin Yunker, Rami Lake, Rajkumar Kettimuthu, Zach Kral
Proc. ASME. QNDE2023, 2023 50th Annual Review of Progress in Quantitative Nondestructive Evaluation, V001T05A001, July 24–27, 2023
Publisher: American Society of Mechanical Engineers
Paper No: QNDE2023-108602
https://doi.org/10.1115/QNDE2023-108602
View Paper titled, Comparative Study on Deep Learning Methods for Defect Identification and Classification in Composite Aerostructure Material
Open the PDF for Comparative Study on Deep Learning Methods for Defect Identification and Classification in Composite Aerostructure Material in another window
Topics: Composite materials, Ultrasonic testing
Journal Articles

Full Waveform Inversion-Based Ultrasound Computed Tomography Acceleration Using Two-Dimensional Convolutional Neural Networks

Christopher Kleman, Shoaib Anwar, Zhengchun Liu, Jiaqi Gong, Xishi Zhu, Austin Yunker, Rajkumar Kettimuthu, Jiaze He
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2023, 6(4): 041004.
Paper No: NDE-22-1034
https://doi.org/10.1115/1.4062092
Published Online: March 31, 2023
View Article titled, Full Waveform Inversion-Based Ultrasound Computed Tomography Acceleration Using Two-Dimensional Convolutional Neural Networks
Open the PDF for Full Waveform Inversion-Based Ultrasound Computed Tomography Acceleration Using Two-Dimensional Convolutional Neural Networks in another window
Topics: Artificial neural networks, Computerized tomography, Inverse problems, Machine learning, Ultrasound, Waves, Signals