Classification of small specimen uranium ores using LIBS combined with machine learning and deep learning algorithms

Key Points

• This research aims to develop classification models for small specimen uranium ores using LIBS technology combined with ML and DL algorithms.
• Utilized laser-induced breakdown spectroscopy to analyze uranium ores.
• Developed classification models using machine learning algorithms.
• Implemented deep learning techniques for improved accuracy in classification.
• Achieved high-precision classification of uranium ores.
• Demonstrated rapid analysis capabilities compared to traditional methods.