Huang Renliang

Fast identification of iron-ore solid waste based on LIBS and multi-feature fusion machine learning with model interpretability analysis

Rapid screening of iron-ore solid waste (ISWs) at ports is crucial for ecological security and customs supervision, while conventional methods are time-consuming and labour-intensive, and laser-induced breakdown spectroscopy (LIBS)-based ore screening lacks practical application....