Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classification Strategies with Human-in-the-Loop for Automated Waste Sorting
The complexity of waste disposal regulations across European countries poses significant challenges for the residents and hinders the transition to a Circular Economy. In Germany, the proper sorting and disposal of household waste remains challenging across municipalities. Consequently, substantially reducing incorrectly disposed waste is vital for improving waste management and advancing the Circular Economy. AI-based waste sorting solutions can support residents through user-friendly tools, such as mobile applications, that guide proper waste disposal. To be effective in supporting the Circu
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- PossiblePossibly related (embedding) · 55%bismillahapaja/stemsend-trashformers →
- PossiblePossibly related (embedding) · 49%Robots Could Turn E-Waste Into a Source of Legacy Chips →
- LinkedLinked via arxiv author · 85%Mohammed Fahad Ali →
“Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classifi”
- LinkedLinked via arxiv author · 85%Dominique Briechle →
“Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classifi”
- LinkedLinked via arxiv author · 85%Marit Briechle-Mathiszig →
“Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classifi”
- LinkedLinked via arxiv author · 85%Tobias Geger →
“Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classifi”
- LinkedLinked via arxiv author · 85%Andreas Rausch →
“Efficient Waste Sorting for Circular Economy: A Confidence-guided comparison between One-Vs-All and One-Vs-Rest Classifi”
- FuzzyOverlapping authors or contributors · 62%ultralytics/yolov5 →
“Shared author/contributor keys: ali”