14 citations · 14 across the 2 of their papers we have counts for
4 papers
RustSEG -- Automated segmentation of corrosion using deep learning
B. Burton, W. T. Nash, N. Birbilis
The inspection of infrastructure for corrosion remains a task that is typically performed manually by qualified engineers or inspectors. This task of inspection is laborious, slow,…
cardiGAN: A Generative Adversarial Network Model for Design and Discovery of Multi Principal Element Alloys
Z. Li, W. T. Nash, S. P. O Brien +3
Multi-principal element alloys (MPEAs), inclusive of high entropy alloys (HEAs), continue to attract significant research attention owing to their potentially desirable properties.…
Automated Corrosion Detection Using Crowd Sourced Training for Deep Learning
W. T. Nash, C. J. Powell, T. Drummond +1
The automated detection of corrosion from images (i.e., photographs) or video (i.e., drone footage) presents significant advantages in terms of corrosion monitoring. Such advantage…
Quantity beats quality for semantic segmentation of corrosion in images
Will Nash, Tom Drummond, Nick Birbilis
Dataset creation is typically one of the first steps when applying Artificial Intelligence methods to a new task; and the real world performance of models hinges on the quality and…