Work

Dataset: "Classification of Recovered Wood Particles by 3D Scanning and CNNs"

Year: 2026

Type: dataset

Abstract: The study investigated the potential of classifying various wood assortments for particle board manufacturing, using a high resolution 3D scanner and deep learning.

Source: Figshare

DOI: 10.6084/m9.figshare.31041526

Authors: Bartuska, Birger, Ritter, Sarah, Teischinger, Alfred, Riegler, Martin

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7120109932

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