Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors

Research output: Contribution to journal › Article › Research › peer-review

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Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors. / Schloegl, Sabine; Kamleitner, Josef; Kroell, Nils et al.
In: Waste Management and Research, Vol. 42, No. 9, 09.2024, p. 747-758.

Research output: Contribution to journal › Article › Research › peer-review

Harvard

Schloegl, S, Kamleitner, J, Kroell, N, Chen, X, Vollprecht, D & Tischberger-Aldrian, A 2024, 'Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors', Waste Management and Research, vol. 42, no. 9, pp. 747-758. https://doi.org/10.1177/0734242X241237184

APA

Schloegl, S., Kamleitner, J., Kroell, N., Chen, X., Vollprecht, D., & Tischberger-Aldrian, A. (2024). Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors. Waste Management and Research, 42(9), 747-758. https://doi.org/10.1177/0734242X241237184

Vancouver

Schloegl S, Kamleitner J, Kroell N, Chen X, Vollprecht D, Tischberger-Aldrian A. Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors. Waste Management and Research. 2024 Sept;42(9):747-758. doi: 10.1177/0734242X241237184

Author

Schloegl, Sabine ; Kamleitner, Josef ; Kroell, Nils et al. / Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors. In: Waste Management and Research. 2024 ; Vol. 42, No. 9. pp. 747-758.

Bibtex - Download

@article{377905fd37e64676af4eeca4aa6ba109,
title = "Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors",
keywords = "LiDAR, lightweight packaging waste, machine learning, near-infrared, plastic, prediction model, Sensor-based material flow monitoring, sorting plant",
author = "Sabine Schloegl and Josef Kamleitner and Nils Kroell and Xiaozheng Chen and Daniel Vollprecht and Alexia Tischberger-Aldrian",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = sep,
doi = "10.1177/0734242X241237184",
language = "English",
volume = "42",
pages = "747--758",
journal = "Waste Management and Research",
issn = "0734-242X",
publisher = "SAGE Publications Ltd",
number = "9",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Developing a prediction model in a lightweight packaging waste sorting plant using sensor-based sorting data combined with data of external near-infrared and LiDAR sensors

AU - Schloegl, Sabine

AU - Kamleitner, Josef

AU - Kroell, Nils

AU - Chen, Xiaozheng

AU - Vollprecht, Daniel

AU - Tischberger-Aldrian, Alexia

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/9

Y1 - 2024/9

KW - LiDAR

KW - lightweight packaging waste

KW - machine learning

KW - near-infrared

KW - plastic

KW - prediction model

KW - Sensor-based material flow monitoring

KW - sorting plant

UR - http://www.scopus.com/inward/record.url?scp=85192156881&partnerID=8YFLogxK

U2 - 10.1177/0734242X241237184

DO - 10.1177/0734242X241237184

M3 - Article

C2 - 38686663

AN - SCOPUS:85192156881

VL - 42

SP - 747

EP - 758

JO - Waste Management and Research

JF - Waste Management and Research

SN - 0734-242X

IS - 9

ER -

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