Sensor-based particle mass prediction of lightweight packaging waste using machine learning algorithms

Waste Management, vol. 136, pp. 253–265

Authors 6

1. Nils Kroell corresponding Aachen Department of Anthropogenic Material Cycles

   RWTH Aachen University

   Affiliation as printed

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany. Electronic address: nils.kroell@ants.rwth-aachen.de

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany

2. Xiaozheng Chen Aachen Department of Anthropogenic Material Cycles

   RWTH Aachen University

   Affiliation as printed

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany

3. Abtin Maghmoumi Aachen Department of Anthropogenic Material Cycles

   RWTH Aachen University

   Affiliation as printed

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany

4. Morgane Koenig Aachen Department of Anthropogenic Material Cycles

   RWTH Aachen University

   Affiliation as printed

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany

5. Alexander Feil Aachen Department of Anthropogenic Material Cycles

   RWTH Aachen University

   Affiliation as printed

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany

6. Kathrin Greiff Aachen Department of Anthropogenic Material Cycles

   RWTH Aachen University

   Affiliation as printed

   Department of Anthropogenic Material Cycles, RWTH Aachen University, Germany