most citedQuantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion

30 citations · 30 across the 1 of their papers we have counts for

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1 paper

cond-mat.mtrl-sci2021★ 30 cited

Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion

Jing Rao, Fangshu Yang, Huadong Mo +2

Ultrasonic methods have great potential applications to detect and characterize defects in multi-layered bonded composites. However, it remains challenging to quantitatively recons…