Jiakun Tan

FrothNet-LightGBM: A two-stage multimodal model for concentrate ash prediction in coal flotation

Concentrate ash content is a key indicator of product quality and process adjustment in coal flotation. In industrial plants, ash content is usually measured by offline laboratory analysis, which limits continuous quality monitoring. This study proposes a FrothNet-LightGBM two-st...

Markerless froth velocity measurement in coal flotation via local motion-consistent ORB matching

The froth velocity in coal flotation is a key indicator reflecting the separation performance. However, full-foreground froth images often exhibit significant local similarity or suffer from motion blur, resulting in weak texture and poor velocity extraction accuracy. Existing fe...