Recent advances in flotation froth image analysis

C Aldrich, E Avelar, X Liu - Minerals Engineering, 2022 - Elsevier
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 …

Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size

Y Liu, Z Zhang, X Liu, L Wang, X Xia - Minerals Engineering, 2021 - Elsevier
The ore image classification technology based on deep learning is an effective way to
improve the image sensor-based ore sorting classification capability. However, in practice …

Smart manufacturing of nonferrous metallurgical processes: Review and perspectives

B Sun, J Dai, K Huang, C Yang, W Gui - International Journal of Minerals …, 2022 - Springer
The nonferrous metallurgical (NFM) industry is a cornerstone industry for a nation's
economy. With the development of artificial technologies and high requirements on …

Flotation froth image classification using convolutional neural networks

M Zarie, A Jahedsaravani, M Massinaei - Minerals Engineering, 2020 - Elsevier
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 …

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 …

Measurement of bubble size and froth velocity using convolutional neural networks

A Jahedsaravani, M Massinaei, M Zarie - Minerals Engineering, 2023 - Elsevier
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 …

Soft sensor of flotation froth grade classification based on hybrid deep neural network

D Zhang, X Gao - International Journal of Production Research, 2021 - Taylor & Francis
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 …

A new froth image classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process

W Cao, R Wang, M Fan, X Fu, H Wang, Y Wang - Applied Intelligence, 2022 - Springer
Intelligent separation is a core technology in the transformation, upgradation, and high-
quality development of coal. Realising the intelligent recognition and accurate classification …

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 …

Operating performance assessment based on semi-supervised cluster generative adversarial networks for gold flotation process

D Lu, F Wang, S Wang, K Bu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Operating performance assessment of gold flotation process plays an important role in
improving the metallurgical performances and pursues the best comprehensive economic …