Publications

(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 & Research.

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(2024). Mechanische Aufbereitung von Post-Consumer Verpackungsmaterialien für das werkstoffliche Recycling von Kunststoffen. Handbuch Kreislaufwirtschaft: Recht, Ingenieur- und Naturwissenschaften, Nachhaltigkeit, Klimaschutz, Digitalisierung.

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(2024). Near-infrared-based sortability of polyester-containing textile waste. Resources, Conservation and Recycling.

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(2024). 10th Sensor-Based Sorting & Control 2024.

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(2023). Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants. Resources, Conservation and Recycling.

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(2023). Towards digital twins of waste sorting plants: Developing data-driven process models of industrial-scale sensor-based sorting units by combining machine learning with near-infrared-based process monitoring. Resources, Conservation and Recycling.

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(2023). Sensor-based sorting. Handbook of recycling.

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(2023). NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations. Data in Brief.

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(2023). Sensortechnik in der Sortierung und Aufbereitung von Kunststoffverpackungen - Potenziale und Grenzen.
  1. Kreislaufwirtschaftstage Münster
.

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(2023). Improving drum sieve performance in lightweight packaging waste recycling by automatic parameter adjustment through 3D laser triangulation-based process monitoring. Resources, Conservation and Recycling.

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(2023). Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables novel applications. Resources, Conservation and Recycling.

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(2022). Optimierte Sortierung von Leichtverpackungs-abfällen durch ein intelligentes Stoffstrommanagement. Vorträge-Konferenzband zur 16. Recy & DepoTech-Konferenz.

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(2022). Implementierung von Sensor-based Material flow Monitoring in einer Kunststoffsortieranlage. Vorträge-Konferenzband zur 16. Recy & DepoTech-Konferenz.

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(2022). Enabling mechanical recycling of plastic bottles with shrink sleeves through near-infrared spectroscopy and machine learning algorithms. Resources, Conservation and Recycling.

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(2022). Sensorbasierte Vorhersage von Korngrössenverteilungen durch Machine Learning Modelle auf Basis von 3D-Lasertriangulationsmessungen.
  1. DGAW-Wissenschaftskongress textquotedblAbfall- und Ressourcenwirtschafttextquotedbl
.

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(2022). Relevance and challenges of plant control in the pre-processing stage for enhanced sorting performance. 9th Sensor-Based Sorting & Control 2022.

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(2022). Assessment of sensor-based sorting performance for lightweight packaging waste through sensor-based material flow monitoring: Concept and preliminary results. 9th Sensor-Based Sorting & Control 2022.

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(2022). 9th Sensor-Based Sorting & Control 2022.

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(2021). Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms. Waste Management.

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(2021). Influence of long-term natural degradation processes on near-infrared spectra and sorting of post-consumer plastics. Waste Management.

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(2021). Nahinfrarot-basierte Stoffstromüberwachung von Bau- und Abbruchabfällen. Mineralische Nebenprodukte und Abfälle.

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(2021). Influences of bioplastic polylactic acid on near-infrared-based sorting of conventional plastic. Waste management & research.

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(2021). Fine metal-rich waste stream characterization based on RGB data: Comparison between feature-based and deep learning classification methods. OCM 2021 - Optical Characterization of Materials: Conference Proceedings.

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(2021). Determining the composition of post-consumer flexible multilayer plastic packaging with near-infrared spectroscopy. Waste Management.

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(2020). Determination of the composition of multilayer plastic packaging with nir spectroscopy. Detritus.

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(2020). Entwicklung einer Methodik zur Wertstoffgehaltsbestimmung von feinkörnigen Abfällen. Recy & DepoTech 2020.

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(2020). Quantitative Klemmkornbestimmung mittels Bildauswertung am Beispiel der Siebung von Abfallfeinfraktionen.
  1. Wissenschaftskongress Abfall- und Ressourcenwirtschaft
.

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