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 …
A critical review of artificial intelligence in mineral concentration
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 …
flotation (summarized in this article), other unit operations for mineral concentration in …
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 …
Deep learning-based image classification for online multi-coal and multi-class sorting
Deep learning is an effective way to improve the classification accuracy of coal images for
the machine vision-based coal sorting. However, the related research on deep learning …
the machine vision-based coal sorting. However, the related research on deep learning …
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 …
Performance evaluation of a deep learning based wet coal image classification
Moisture is one of the important influencing factors on machine vision-based mineral image
classification, and it has different effects on various ore particles. At present, deep learning is …
classification, and it has different effects on various ore particles. At present, deep learning is …
Deep learning based data augmentation for large-scale mineral image recognition and classification
Vision-based mineral image recognition and classification is a proven solution for
autonomous unmanned ore sorting. Although accurate identification can be achieved by …
autonomous unmanned ore sorting. Although accurate identification can be achieved by …
Digitalization solutions in the mineral processing industry: the case of GTK Mintec, Finland
A Nad, M Jooshaki, E Tuominen, S Michaux, A Kirpala… - Minerals, 2022 - mdpi.com
The technologies used in mineral process engineering are evolving. The digital mineral
processing solutions are based on advances in our ability to instrumentally measure …
processing solutions are based on advances in our ability to instrumentally measure …
Deep learning in mining and mineral processing operations: a review
In this paper, the application of deep learning in the mining and processing of ores is
reviewed. Deep learning is strongly impacting the development of sensor systems …
reviewed. Deep learning is strongly impacting the development of sensor systems …
Advancements in Machine Learning for Optimal Performance in Flotation Processes: A Review
Flotation stands out as a successful and extensively employed method for separating
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …
valuable mineral particles from waste rock. The efficiency of this process is subjected to the …