{
  "id": 311,
  "url": "https://arxiv.org/abs/2607.02230v1",
  "title": "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",
  "summary": "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, su",
  "authors": "Mohammed Fahad Ali, Dominique Briechle, Marit Briechle-Mathiszig, Tobias Geger, Andreas Rausch",
  "category": "research",
  "topics": "regulation,jobs-economy",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-07-02T14:29:45.000Z",
  "fetched_at": "2026-07-14T14:14:28.433Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/311",
  "original_url": "https://arxiv.org/abs/2607.02230v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}