Optimizing Bioleaching for Printed Circuit Board Copper Recovery: An AI-Driven RGB-Based Approach

Optimizing Bioleaching for Printed Circuit Board Copper Recovery: An AI-Driven RGB-Based Approach

Recovering copper from end-of-life electronics, especially from printed circuit boards, provides significant economic benefits, reduces environmental impact, and supports a circular economy. This case study presents a data-driven approach to predicting copper recovery in the electrolysis stage of a...

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Bibliographic Details
Main Authors: Jordi Vives Pons, Albert Comerma, Teresa Escobet, Antonio D. Dorado, Marta I. Tarrés-Puertas
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
Subjects:
artificial intelligence
industrial systems
machine learning
Industrial IoT
real-time systems
digital twin
Online Access:https://www.mdpi.com/2076-3417/15/1/129
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