A Study on the Application of Artificial Intelligence in Mineral Processing

• AI-based models significantly improve flotation process optimization, increasing recovery rates by up to 15%. • The proposed model accurately predicts ore grade with a mean absolute error of less than 0.5%. • Integration of real-time sensor data with machine learning enables adaptive control, reducing reagent consumption by 20%. • The framework offers a scalable solution for smart mining, with potential for real-time decision-making and cost reduction.