Folgen
Dr. Nils Kroell
Dr. Nils Kroell
Research & Development Engineer, STADLER Anlagenbau GmbH
Bestätigte E-Mail-Adresse bei ants.rwth-aachen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature review
N Kroell, X Chen, K Greiff, A Feil
Waste Management 149, 259-290, 2022
622022
Determining the composition of post-consumer flexible multilayer plastic packaging with near-infrared spectroscopy
X Chen, N Kroell, J Wickel, A Feil
Waste Management 123, 33-41, 2021
402021
Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms
N Kroell, X Chen, A Maghmoumi, M Koenig, A Feil, K Greiff
Waste management 136, 253-265, 2021
322021
Enabling mechanical recycling of plastic bottles with shrink sleeves through near-infrared spectroscopy and machine learning algorithms
X Chen, N Kroell, M Althaus, T Pretz, R Pomberger, K Greiff
Resources, Conservation and Recycling 188, 106719, 2023
312023
Influences of bioplastic polylactic acid on near-infrared-based sorting of conventional plastic
X Chen, N Kroell, K Li, A Feil, T Pretz
Waste management & research 39 (9), 1210-1213, 2021
222021
Influence of long-term natural degradation processes on near-infrared spectra and sorting of post-consumer plastics
X Chen, N Kroell, T Dietl, A Feil, K Greiff
Waste Management 136, 213-218, 2021
182021
Determination of the composition of multilayer plastic packaging with NIR spectroscopy
X Chen, N Kroell, A Feil, T Pretz
Detritus 13, 62-66, 2020
182020
Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables novel applications
N Kroell, X Chen, B Küppers, J Lorenzo, A Maghmoumi, M Schlaak, ...
Resources, Conservation and Recycling 191, 106873, 2023
172023
Anforderungen an eine effiziente technologische Behandlung von Post-Consumer Verpackungsmaterialien in Sortieranlagen
A Feil, N Kroell, K Greiff, T Pretz
Müll Und Abfall 21 (7), 362-370, 2021
162021
Assessment of sensor-based sorting performance for lightweight packaging waste through sensor-based material. ow monitoring: Concept and preliminary results
N Kroell, T Dietl, A Maghmoumi, X Chen
9th Sensor-Based Sorting & Control 2022 9, 35, 2022
132022
Relevance and challenges of plant control in the pre-processing stage for enhanced sorting performance
B Küppers, S Schlögl, N Kroell, V Radkohl
9th Sensor-Based Sorting & Control 2022 9, 17, 2022
122022
imea: A Python package for extracting 2D and 3D shape measurements from images
N Kroell
Journal of Open Source Software 6 (60), 3091, 2021
72021
Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants
N Kroell, X Chen, B Küppers, S Schlögl, A Feil, K Greiff
Resources, Conservation and Recycling 201, 107256, 2024
62024
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
N Kroell, X Chen, A Maghmoumi, J Lorenzo, M Schlaak, C Nordmann, ...
Data in brief 48, 109054, 2023
62023
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 …
N Kroell, A Maghmoumi, T Dietl, X Chen, B Küppers, T Scherling, A Feil, ...
Resources, Conservation and Recycling 200, 107257, 2024
52024
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
S Schloegl, J Kamleitner, N Kroell, X Chen, D Vollprecht, ...
Waste management & research, 0734242X241237184, 2024
42024
Sensor-based sorting
X Chen, N Kroell, A Feil, K Greiff
Handbook of Recycling, 145-159, 2024
42024
Sensorbasierte Vorhersage von Korngrößenverteilungen durch Machine Learning Modelle auf Basis von 3D-Lasertriangulationsmessungen
N Kroell, P Schönfelder, X Chen, K Johnen, A Feil, K Greiff
Bockreis, A, Faulstich, M, Flamme, S, Kranert, M, Mocker, M, Nelles, M, et …, 2022
32022
Fine metal-rich waste stream characterization based on RGB data: Comparison between feature-based and deep learning classification methods
N Kroell, K Johnen, X Chen, A Feil
Optical Characterization of Materials 5, 83-97, 2021
32021
Entwicklung einer Methodik zur Wertstoffgehaltsbestimmung von feinkörnigen Abfällen
K Johnen, N Kroell, A Feil
15. Recy & DepoTech-Konferenz: Montanuniversität Leoben, Osterreich, 0
3
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20