AIMC Topic: Recycling
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Automated material flow characterization of WEEE in sorting plants using deep learning and regression models on RGB data.
Waste management (New York, N.Y.)
Aug 1, 2025
Waste from electrical and electronic equipment (WEEE) is a rapidly growing waste stream. Notably, electronic equipment contains valuable and critical raw materials. State of the art in WEEE recycling uses a combination of automated comminution and se...
Automated Electro-construction waste Sorting: Computer vision for part-level segmentation.
Waste management (New York, N.Y.)
Jul 15, 2025
The global generation of construction, demolition, and renovation (CDR) waste has surged, increasing the demand for efficient recycling solutions. Emerging technologies can automate the sorting of CDR waste, which is crucial for specialised categorie...
Plastics detection and sorting using hyperspectral sensing and machine learning algorithms.
Waste management (New York, N.Y.)
Jul 15, 2025
Plastic waste second life management requires effective detection (and sorting if necessary) techniques to tackle the environmental challenge it poses. This research explores the application of hyperspectral imaging in the spectral range 900-1700 nm ...
Machine learning-guided rare earth recovery from NdFeB magnet waste: Model development, parameter influence analysis and experimental validation.
Journal of environmental management
Jun 1, 2025
The rapid expansion of the electric vehicle industry has resulted in substantial production of NdFeB magnet wastes from discarded electromotors. These magnets, weighing up to 2 kg in each electromotor, contain 25-35 wt% of strategic rare earth elemen...
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