Dr. Nils Kroell
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    • Assessment of lossless compression algorithms and their performance on near-infrared spectral images
    • Deep learning-based prediction of particle size distributions in construction and demolition waste recycling using convolutional neural networks on 3D laser triangulation data
    • Assessing the resource potential of paper and board in lightweight packaging waste sorting plants through manual analysis and sensor-based material flow monitoring
    • 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
    • Mechanische Aufbereitung von Post-Consumer Verpackungsmaterialien für das werkstoffliche Recycling von Kunststoffen
    • Near-infrared-based sortability of polyester-containing textile waste
    • Influence of plastic packaging design on the sensor-based sortability in lightweight packaging waste sorting plants
    • Deep learning-based instance segmentation on 3D laser triangulation data for inline monitoring of particle size distributions in construction and demolition waste recycling
    • 10th Sensor-Based Sorting & Control 2024
    • Sensor-based characterization of anthropogenic material systems: developing characterization methods and novel applications for optimizing the mechanical recycling of lightweight packaging waste
    • Near-infrared-based quality control of plastic pre-concentrates in lightweight-packaging waste sorting plants
    • 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
    • Sensor-based sorting
    • NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
    • Sensortechnik in der Sortierung und Aufbereitung von Kunststoffverpackungen - Potenziale und Grenzen
    • Improving drum sieve performance in lightweight packaging waste recycling by automatic parameter adjustment through 3D laser triangulation-based process monitoring
    • Near-infrared-based determination of mass-based material flow compositions in mechanical recycling of post-consumer plastics: Technical feasibility enables novel applications
    • Implementierung von Sensor-based Material flow Monitoring in einer Kunststoffsortieranlage
    • Optimierte Sortierung von Leichtverpackungs-abfällen durch ein intelligentes Stoffstrommanagement
    • Enabling mechanical recycling of plastic bottles with shrink sleeves through near-infrared spectroscopy and machine learning algorithms
    • Optical sensors and machine learning algorithms in sensor-based material flow characterization for mechanical recycling processes: A systematic literature review
    • Sensorbasierte Vorhersage von Korngrössenverteilungen durch Machine Learning Modelle auf Basis von 3D-Lasertriangulationsmessungen
    • Assessment of sensor-based sorting performance for lightweight packaging waste through sensor-based material flow monitoring: Concept and preliminary results
    • Relevance and challenges of plant control in the pre-processing stage for enhanced sorting performance
    • 9th Sensor-Based Sorting & Control 2022
    • Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms
    • Influence of long-term natural degradation processes on near-infrared spectra and sorting of post-consumer plastics
    • Nahinfrarot-basierte Stoffstromüberwachung von Bau- und Abbruchabfällen
    • Anforderungen an eine effiziente technologische Behandlung von Post-Consumer Verpackungsmaterialien in Sortieranlagen: Möglichkeiten und Grenzen
    • Influences of bioplastic polylactic acid on near-infrared-based sorting of conventional plastic
    • imea: A Python package for extracting 2D and 3D shape measurements from images
    • Fine metal-rich waste stream characterization based on RGB data: Comparison between feature-based and deep learning classification methods
    • Determining the composition of post-consumer flexible multilayer plastic packaging with near-infrared spectroscopy
    • Determination of the composition of multilayer plastic packaging with nir spectroscopy
    • Entwicklung einer Methodik zur Wertstoffgehaltsbestimmung von feinkörnigen Abfällen
    • Quantitative Klemmkornbestimmung mittels Bildauswertung am Beispiel der Siebung von Abfallfeinfraktionen
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    • scikit-learn

scikit-learn

Oct 26, 2023 · 1 min read
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scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

Last updated on Oct 26, 2023
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Dr. Nils Kroell
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Dr. Nils Kroell
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