Extraction of Critical Raw Materials From Waste Printed Circuit Boards Using Machine Learning and Computer Vision
The extraction of critical raw materials (CRMs) from waste printed circuit boards (WPCBs) represents a crucial challenge for the economy, particularly in the electronics sector. To improve the concentration of individual CRMs and facilitate their extraction from WPCBs, we propose an innovative appro...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11457918/ |
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