Deep learning approaches for classification of copper-containing metal scrap in recycling processes

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Deep learning approaches for classification of copper-containing metal scrap in recycling processes. / Koinig, G.; Kuhn, N.; Fink, T. et al.
in: Waste management, Jahrgang 190, 15.12.2024, S. 520-530.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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@article{0146bf6931cd414595bd4e4917f31b8e,
title = "Deep learning approaches for classification of copper-containing metal scrap in recycling processes",
keywords = "Circular economy, Computer vision, Deep learning, Machine learning, Metal recycling, Sensor based sorting",
author = "G. Koinig and N. Kuhn and T. Fink and B. Lorber and Y. Radmann and W. Martinelli and A. Tischberger-Aldrian",
note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",
year = "2024",
month = dec,
day = "15",
doi = "10.1016/j.wasman.2024.10.022",
language = "English",
volume = "190",
pages = "520--530",
journal = "Waste management",
issn = "0956-053X",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

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 -