1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SD2025
Planing It by Ear: Convolutional Neural Networks for Acoustic Anomaly Detection in Industrial Wood Planers
Anthony Deschênes, Rémi Georges, Cem Subakan +3
In recent years, the wood product industry has been facing a skilled labor shortage. The result is more frequent sudden failures, resulting in additional costs for these companies…
cs.CV2017★ 1 cited
An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry
Cyrine Selma, Hind Haouzi, Philippe Thomas +2
In the Canadian's lumber industry, simulators are used to predict the lumbers resulting from the sawing of a log at a given sawmill. Giving a log or several logs' 3D scans as input…