Deep learning approaches for classification of copper-containing metal scrap in recycling processes
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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in: Waste management, Jahrgang 190, 15.12.2024, S. 520-530.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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TY - JOUR
T1 - Deep learning approaches for classification of copper-containing metal scrap in recycling processes
AU - Koinig, G.
AU - Kuhn, N.
AU - Fink, T.
AU - Lorber, B.
AU - Radmann, Y.
AU - Martinelli, W.
AU - Tischberger-Aldrian, A.
N1 - Publisher Copyright: © 2024 The Author(s)
PY - 2024/12/15
Y1 - 2024/12/15
KW - Circular economy
KW - Computer vision
KW - Deep learning
KW - Machine learning
KW - Metal recycling
KW - Sensor based sorting
UR - http://www.scopus.com/inward/record.url?scp=85207014633&partnerID=8YFLogxK
U2 - 10.1016/j.wasman.2024.10.022
DO - 10.1016/j.wasman.2024.10.022
M3 - Article
AN - SCOPUS:85207014633
VL - 190
SP - 520
EP - 530
JO - Waste management
JF - Waste management
SN - 0956-053X
ER -