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Updated: Jan 20, 2026

A Microfluidic-based Hydrodynamic Trap for Single Particles
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材料流组成数据集:基于RGB相机的单颗粒图像和碎碎的WEEE的粒子质量数据

Malte Vogelgesang1, Alice do Carmo Precci Lopes1,2, Emanuel Ionescu1

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

Data in brief
|January 19, 2026
PubMed
概括

本研究介绍了使用RGB摄像头进行基于传感器的材料流特性 (SBMC) 的数据集,以改善废物分类. 这些数据支持人工智能模型用于识别材料和预测碎电子垃圾中的质量.

关键词:
计算机视觉 计算机视觉 计算机视觉电子垃圾是一种电子垃圾.机器学习 机器学习材料流的表征材料流的表征.粒子质量预测 粒子质量预测回收回收是回收的过程.基于传感器进行分类.废弃的电气和电子设备

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