Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
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Updated
Mar 14, 2020 - Python
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
An rp2040-based acquisition board for pulse-echo ultrasound
Official Python implementation for XVis Toolbox release with the book Computer Vision for X-Ray Testing.
GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recovered mechanical fields for 2D and 3D complex microstructures
Ultrasonic testing (UT) is a family of non-destructive testing techniques based on the propagation of ultrasonic waves in the object or material tested.
Ultrasonic NDT For Surface Fault Detection
StofNet: Super-resolution Time of Flight Network (ICASSP 2024)
Methods for the automated detection of acoustic multiplets and their hierarchical classification according to the similarity of their emission mechanisms
Implements MATLAB simulations from the paper "Qualitative indicator functions for imaging crack networks using acoustic waves". Includes two inversion algorithms for crack detection based on far-field acoustic data.
A MATLAB implementation for non-destructive testing of heterogeneous materials using ultrasound. This project simulates wave scattering from structural defects and applies the Differential Linear Sampling Method to detect and localize anomalies such as cracks.
Paper: An acoustic lens that enables ultrasonic thickness measurement of large pipe sections.
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