Deep learning models for classifying powder materials using multi-wavelength optical scattering signals. Achieves 99% accuracy with TimesNet on RGB light scattering time series.
-
Updated
Jan 23, 2026 - Python
Deep learning models for classifying powder materials using multi-wavelength optical scattering signals. Achieves 99% accuracy with TimesNet on RGB light scattering time series.
Repositorio de la Práctica 3 en Visión por Computador, centrado en la detección y clasificación de formas con OpenCV. Incluye la identificación de monedas y clasificación de partículas mediante técnicas de segmentación, extracción de características y análisis geométrico.
Add a description, image, and links to the particle-classification topic page so that developers can more easily learn about it.
To associate your repository with the particle-classification topic, visit your repo's landing page and select "manage topics."