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Updated: Jan 20, 2026

A Microfluidic-based Hydrodynamic Trap for Single Particles

A Microfluidic-based Hydrodynamic Trap for Single Particles

Published on: January 21, 2011

Conjunto de datos de composición de flujo de materiales: imágenes de partículas individuales basadas en cámara RGB y

Malte Vogelgesang¹, Alice do Carmo Precci Lopes^1,2, Emanuel Ionescu¹

¹Fraunhofer Research Institution for Materials Recycling and Resource Strategies IWKS, Brentanostr. 2a, Alzenau D-63755, Germany.

|January 19, 2026

Resumen

Este estudio presenta conjuntos de datos para la caracterización de flujo de materiales basada en sensores (SBMC) utilizando cámaras RGB para mejorar la clasificación de residuos. Los datos respaldan modelos de IA para identificar materiales y predecir la masa en residuos electrónicos triturados.

Palabras clave:

visión por computadora residuos electrónicos aprendizaje automático caracterización de flujo de materiales predicción de masa de partículas reciclaje clasificación basada en sensores residuos de aparatos eléctricos y electrónicos

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