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Nils Kroell

Showing results (1-10 of 9) with videos related to

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Waste Management (New York, N.Y.)|February 8, 2021
Determining the composition of post-consumer flexible multilayer plastic packaging with near-infrared spectroscopyXiaozheng Chen, Nils Kroell, Jan Wickel, et al.
Waste Management (New York, N.Y.)|June 27, 2022
Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature reviewNils Kroell, Xiaozheng Chen, Kathrin Greiff, et al.
Waste Management (New York, N.Y.)|October 26, 2021
Influence of long-term natural degradation processes on near-infrared spectra and sorting of post-consumer plasticsXiaozheng Chen, Nils Kroell, Tobias Dietl, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|April 9, 2021
Influences of bioplastic polylactic acid on near-infrared-based sorting of conventional plasticXiaozheng Chen, Nils Kroell, Ke Li, et al.
Waste Management (New York, N.Y.)|October 28, 2021
Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithmsNils Kroell, Xiaozheng Chen, Abtin Maghmoumi, et al.
Waste Management (New York, N.Y.)|August 30, 2024
Assessing the resource potential of paper and board in lightweight packaging waste sorting plants through manual analysis and sensor-based material flow monitoringAlena Maria Spies, Nils Kroell, Annika Ludes, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|April 30, 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 sensorsSabine Schloegl, Josef Kamleitner, Nils Kroell, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|April 11, 2026
Assessing the process performance of ballistic separators in packaging waste sorting plants using sensor-based process monitoringAlena Maria Spies, Tabea Scherling, Annika Ludes, et al.
Data in Brief|April 3, 2023
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentationsNils Kroell, Xiaozheng Chen, Abtin Maghmoumi, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Waste Management (New York, N.Y.)|February 8, 2021
Determining the composition of post-consumer flexible multilayer plastic packaging with near-infrared spectroscopyXiaozheng Chen, Nils Kroell, Jan Wickel, et al.
Waste Management (New York, N.Y.)|June 27, 2022
Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature reviewNils Kroell, Xiaozheng Chen, Kathrin Greiff, et al.
Waste Management (New York, N.Y.)|October 26, 2021
Influence of long-term natural degradation processes on near-infrared spectra and sorting of post-consumer plasticsXiaozheng Chen, Nils Kroell, Tobias Dietl, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|April 9, 2021
Influences of bioplastic polylactic acid on near-infrared-based sorting of conventional plasticXiaozheng Chen, Nils Kroell, Ke Li, et al.
Waste Management (New York, N.Y.)|October 28, 2021
Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithmsNils Kroell, Xiaozheng Chen, Abtin Maghmoumi, et al.
Waste Management (New York, N.Y.)|August 30, 2024
Assessing the resource potential of paper and board in lightweight packaging waste sorting plants through manual analysis and sensor-based material flow monitoringAlena Maria Spies, Nils Kroell, Annika Ludes, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|April 30, 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 sensorsSabine Schloegl, Josef Kamleitner, Nils Kroell, et al.
Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA|April 11, 2026
Assessing the process performance of ballistic separators in packaging waste sorting plants using sensor-based process monitoringAlena Maria Spies, Tabea Scherling, Annika Ludes, et al.
Data in Brief|April 3, 2023
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentationsNils Kroell, Xiaozheng Chen, Abtin Maghmoumi, et al.
Pageof 1