Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
April 30, 2024Waste Management & Research The Journal for a Sustainable Circular EconomyOpen Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

SSSabine SchloeglJKJosef KamleitnerNKNils Kroell

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Schloegl et al. (2024) studied this question.

synapsesocial.com/papers/68e6ca9bb6db64358764941fhttps://doi.org/10.1177/0734242x241237184
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A waste separation system based on sensor technology and deep learning: A simple approach applied to a case study of plastic packaging waste2024 · 74 citations
  2. 2Simulating process parameters of sensor-based sorting for plastic packaging waste: Methodology and validation2026
  3. 3Influence of plastic packaging design on the sensor-based sortability in lightweight packaging waste sorting plants2024 · 8 citations
  4. 4AI-optimized sorting and quality assessment of post-consumer recyclates for sustainable plastics processing2026
  5. 5Volume Determination Challenges in Waste Sorting Facilities: Observations and Strategies2024 · 2 citations