Data analytics and machine learning for digital transformation in mineral processing: A conceptual framework for copper-molybdenum concentration
The mineral processing industry faces mounting pressure to improve operational efficiency, reduce energy consumption, and enhance equipment reliability through digital transformation. This study presents a conceptual framework for data analytics and machine learning implementation across three operational domains of a...
Oğuzhan Mert Gürkan, Huseyin Basturkcu
· Physicochemical Problems of... · 0 citations