Abstract Machine vision is widely used in the monitoring of froth flotation plants as a means
to assist control operators on the plant. While these systems have a mature ability to analyse …

Although various articles have reviewed the application of artificial intelligence (AI) in froth
flotation (summarized in this article), other unit operations for mineral concentration in …

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 …

Flotation is an important separation method for coal preparation, where ash content is critical
to coal product quality. However, the absence of fast and accurate ash determination of coal …

The control of the froth flotation process in the mineral industry is a challenging task due to
its multiple impacting parameters. Accurate and convenient examination of the concentrate …

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 …

Effective and timely identification of working conditions is critical for ensuring safe and
efficient long-term operations in industrial flotation processes. Previous studies on the …

With the rapid development of machine vision technology, machine vision systems are being
widely used in flotation plants for online grade monitoring. In an industrial flotation plant, the …

Bubble size and froth velocity are the most important froth characteristics used for evaluating
and controlling flotation systems. Bubble size is often measured using watershed and edge …

In recent years, the technology of deep learning has made great achievements in the field of
machine learning. In this study, with the help of the transfer learning method, a kind of soft …