Search Results for author:
Found 1 papers, 0 papers with code
Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier
More than a thousand 8" silicon sensors will be visually inspected to look for anomalies on their surface during the quality control preceding assembly into the High-Granularity Calorimeter for the CMS experiment at CERN.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
