most citedInverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion

27 citations · 27 across the 1 of their papers we have counts for

collaborators

1 paper

eess.SP2022★ 27 cited

Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion

Mahindra Rautela, Armin Huber, J. Senthilnath +1

In this work, ultrasonic guided waves and a dual-branch version of convolutional neural networks are used to solve two different but related inverse problems, i.e., finding layup s…