… This study, while pioneering in its approach to use image processing and deep learning for
froth flotation analysis, is not without its limitations. The following are some of the challenges …

… More specifically, the focus of this paper is on deep learning and ‘big data’ and the way
in which these approaches are enabling smarter sensors and advances in monitoring and …

… date about leveraging deep learning in the froth flotation process, … advances in deep learning
to model a froth flotation process, … In particular, we developed a hierarchical deep learning …

… of realizing automation control in a froth flotation process. This study seeks to use deep
learning technologies modeling a manufacturing flotation process, forecasting the concentrate …

… froth status in coal flotation. This indicates the feasibility of determining the coal flotation
concentrate quality using froth … machine learning (ML) methods to analyze flotation froth images. …

… The promising results of this study demonstrate the significant potential of deep learning
neural networks in froth image analysis, which is of great importance for development of …

… for concentrate ash content of coal flotation combining with deep learning and interval
classification is developed based on industrial flotation froth images under normal conditions. The …

… The deep learning algorithm is used to analyse the froth image, and simultaneously provides
the result of the flotation operation condition, which can be seen in Figure 14. To better …

… Then, due to the buoyancy, the aggregates will rise to the surface of the slurry and form
the flotation froth, while hydrophilic gangue particles sink and are recovered to the tailings. …

… So deep neural network (DNN) sensors are increasingly applied … flotation froth working
condition recognition [8]. Incorporating state-of-the-art deep learning methods into flotation froth …