Tag: machine learning in mining

A PSO-optimized XGBoost model predicted the compressive strength, elastic energy index and impact energy index of gangue-cemented backfill materials with ...

In the evolving landscape of mineral exploration, a recent study highlights the critical role that data-driven approaches play in predicting ...

In a groundbreaking study, researchers have introduced an innovative dual-channel iterative method that integrates semi-supervised self-training with interpretable deep learning ...

In the rapidly evolving field of materials engineering, the understanding of blasting processes and their outcomes remains a crucial area ...