Flotation stands out as a successful and extensively employed method for separating
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …

In the last few years, jargon, such as machine learning (ML) and artificial intelligence (AI),
have been ubiquitous in both popular science media as well as the academic literature …

Anode and cathode active materials from spent lithium–ion batteries may be recovered and
potentially used in new batteries to promote recycling and resource circulation. Froth …

The real-time recognition of operating conditions is always critical to ensuring the efficient
and stable operation of industrial flotation processes. Although the widespread use of smart …

The escalating demand for environmental and social sustainability underscores the critical
need for large industries such as mining and metallurgy to function optimally. Achieving …

Accurate and timely foam grade prediction plays an important role in the flotation foam
industry process. However, the information between foam characteristic series and foam …

In this work, the prediction and optimisation of copper flotation has been conducted in the
rougher flotation circuit. The copper-recovery prediction involved the application of support …

The tailing grades must be predicted in real time for the automatic control and avoidance of
the waste of valuable minerals in froth flotation. In most previous prediction models, all input …

This paper presents the development and validation of five different soft computing methods
for flotation performance prediction:(1) two models based on fuzzy logic (Mamdani and …

Flotation separation is the most important upgrading critical raw material technique.
Measuring interactions within flotation variables and modeling their metallurgical responses …