Hybrid features extraction for the online mineral grades determination in the flotation froth using Deep Learning
A Bendaouia, S Qassimi, A Boussetta… - … Applications of Artificial …, 2024 - Elsevier
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 …
its multiple impacting parameters. Accurate and convenient examination of the concentrate …
Digital transformation of the flotation monitoring towards an online analyzer
Accurate and timely investigation to concentrate grade in mining industry is a premise of
realizing real time and efficient control in a froth flotation process. This study seeks to use …
realizing real time and efficient control in a froth flotation process. This study seeks to use …
Flotation froth image classification using convolutional neural networks
In recent years, the use of machine vision systems for monitoring and control of the flotation
plants has significantly increased. The classification of froth images is a critical step in …
plants has significantly increased. The classification of froth images is a critical step in …
[HTML][HTML] Prediction of sulfur removal from iron concentrate using column flotation froth features: comparison of k-means clustering, regression, backpropagation neural …
Froth feature extraction plays a significant role in the monitoring and control of the flotation
process. Image-based soft sensors have received a great deal of interest in the flotation …
process. Image-based soft sensors have received a great deal of interest in the flotation …
Froth image analysis by use of transfer learning and convolutional neural networks
Deep learning constitutes a significant recent advance in machine learning and has been
particularly successful in applications related to image processing, where it can already …
particularly successful in applications related to image processing, where it can already …
Purities prediction in a manufacturing froth flotation plant: The deep learning techniques
Accurate and timely investigation to concentrate grade and recovery is a premise of realizing
automation control in a froth flotation process. This study seeks to use deep learning …
automation control in a froth flotation process. This study seeks to use deep learning …
Artificial intelligence for enhanced flotation monitoring in the mining industry: A ConvLSTM-based approach
A Bendaouia, S Qassimi, A Boussetta… - Computers & Chemical …, 2024 - Elsevier
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 …
is crucial for efficient minerals separation. The hybrid deep learning algorithms offer …
Recent advances in flotation froth image analysis
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 …
to assist control operators on the plant. While these systems have a mature ability to analyse …
Flotation froth image recognition with convolutional neural networks
Computer vision systems designed for flotation froth image analysis are well established in
industry, where their ability to measure froth flow velocities and stability are used to control …
industry, where their ability to measure froth flow velocities and stability are used to control …
Convolutional memory network-based flotation performance monitoring
J Zhang, Z Tang, Y Xie, M Ai, W Gui - Minerals Engineering, 2020 - Elsevier
In flotation process monitoring, visual soft sensors provide stable and reliable online
estimations for a concentrate grade, which is difficult to be measured online owing to …
estimations for a concentrate grade, which is difficult to be measured online owing to …