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 …
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 …
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 …
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 …
Performance of convolutional neural networks for feature extraction in froth flotation sensing
Image-based soft sensors are of interest in process industries due to their cost-effective and
non-intrusive properties. Unlike most multivariate inputs, images are highly dimensional …
non-intrusive properties. Unlike most multivariate inputs, images are highly dimensional …
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 …
Deep learning-based ash content prediction of coal flotation concentrate using convolutional neural network
Z Wen, C Zhou, J Pan, T Nie, C Zhou, Z Lu - Minerals Engineering, 2021 - Elsevier
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 …
regarded as a promising way for flotation soft sensors based on froth images. This paper …
Long short-term memory-based grade monitoring in froth flotation using a froth video sequence
H Zhang, Z Tang, Y Xie, X Gao, Q Chen, W Gui - Minerals Engineering, 2021 - Elsevier
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 …
widely used in flotation plants for online grade monitoring. In an industrial flotation plant, the …
Process working condition recognition based on the fusion of morphological and pixel set features of froth for froth flotation
Process condition recognition is an effective way to improve the froth process performance.
In previous condition recognition algorithms based on machine vision in flotation process …
In previous condition recognition algorithms based on machine vision in flotation process …
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 …