... the performance of different deep learning-based methods in the identification and classification of defects. Deep learning has shown great promise in numerous fields, and we show its effectiveness in the evaluation of the composite aerostructure material. The methods developed here are both highly reliable...

...Steven C. Hespeler; Hamidreza Nemati; Nihar Masurkar; Fernando Alvidrez; Hamidreza Marvi; Ehsan Dehghan-Niri This journal paper explores the application of Deep Learning (DL)-based Time-Series Classification (TSC) algorithms in ultrasonic testing for pipeline inspection. The utility...

... in machine learning and image generation have shown great success in solving the inverse problem in various image reconstruction-related areas (e.g., X-ray tomography) [ 26 – 28 ]. Related deep-learning approaches also show promise in alleviating the aforementioned challenges in FWI. In recent years, efforts...

... ,” 2020 Annual Technical Conference , Virtual , July 15–17 , pp. 323 – 336 . [38] Paszke , A. , Gross , S. , Massa , F. , Lerer , A. , Bradbury , J. , Chanan , G. , Killeen , T. , , 2019 , “ PyTorch: An Imperative Style: High-Performance Deep Learning Library...

...:1606.05908. [21] Pandey , G. , and Dukkipati , A. , 2017 , “ Variational Methods for Conditional Multimodal Deep Learning ,” 2017 International Joint Conference on Neural Networks (IJCNN) , Anchorage, AK , July 3 , IEEE , pp. 308 – 315 . [22] Zhao , T. , Zhao , R...