Topic: "non-destructive-testing"
xaviergoby/Deep-Learning-and-Computer-Vision-for-Structural-Crack-Detection-And-Classification
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
Language: Python - Size: 474 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 40 - Forks: 14

xaviergoby/ConvLSTM-Computer-Vision-for-Structural-Health-Monitoring-SHM-and-NonDestructive-Testing-NDT
Application of LSTM network for Structural Health Monitoring & Non-Destructive Testing
Language: Python - Size: 437 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 27 - Forks: 8

kelu124/pic0rick
An rp2040-based acquisition board for pulse-echo ultrasound
Language: Jupyter Notebook - Size: 115 MB - Last synced at: 7 days ago - Pushed at: 20 days ago - Stars: 20 - Forks: 3

lamm-mit/FieldCompleter
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
Language: Python - Size: 244 KB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 4

ThisTrick/UltrasonicTesting
Ultrasonic testing (UT) is a family of non-destructive testing techniques based on the propagation of ultrasonic waves in the object or material tested.
Language: C# - Size: 6.2 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 10 - Forks: 2

hahnec/stofnet
StofNet: Super-resolution Time of Flight Network (ICASSP 2024)
Language: Python - Size: 19.3 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Tdelaselle/Multi-Detec
Methods for the automated detection of acoustic multiplets and their hierarchical classification according to the similarity of their emission mechanisms
Language: MATLAB - Size: 60.5 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
