A novel image analysis solution based on multiresolutional multivariate image analysis (MR-
MIA) is proposed for the monitoring and control of flotation processes. The approach is quite …

The accurate prediction of grade/recovery is instrumental to automation control in a flotation
process. It is also challenging due to the complex interactions and codependences of …

Image processing sensors are emerging as an important measurement option in mineral
processing, mainly due to their non-intrusive characteristics. Their principal application …

As the most important separation technique in mineral processing, flotation has been the
subject of intensive investigation over many years, but despite these efforts it remains a …

Convolutional neural networks, as the current state-of-the-art in image classification, are
regarded as a promising way for flotation soft sensors based on froth images. This paper …

It is well known and well recognised that flotation is a process that is complex to monitor and
study if a classical approach based on the evaluation of the signals resulting from sensors is …

Effective fault detection techniques can help flotation plant reduce reagents consumption,
increase mineral recovery, and reduce labor intensity. Traditional, online fault detection …

Automatic control of the flotation process is a difficult task due to the large number of
variables involved, significant disturbances, and the process's complex nature. Previous …

This paper discusses the rapid development in computer technology and neural networks
that are used to transform recently developed concepts and available technology into a new …

In the mining industry, accurate monitoring of the elemental composition in the flotation froth
is crucial for efficient minerals separation. The hybrid deep learning algorithms offer …