Multivariate image analysis of realgar–orpiment flotation froths-Reference-Cited by-同舟云学术

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Multivariate image analysis of realgar–orpiment flotation froths

Published:2017-04-27 Issue:3 Volume:127 Page:146-156
ISSN:2572-6641
Container-title:Mineral Processing and Extractive Metallurgy
language:en
Short-container-title:Mineral Processing and Extractive Metallurgy

Author:

Aldrich Chris¹²,Smith Leanne K.³,Verrelli David I.³,Bruckard Warren J.³,Kistner Melissa²

Affiliation:

1. Department of Mining Engineering and Metallurgical Engineering, Western Australian School of Mines, Curtin University, Perth, WA, Australia

2. Department of Process Engineering, Stellenbosch University, Matieland, Stellenbosch, South Africa

3. CSIRO, Melbourne, VIC, Australia

Funder

National Research Foundation

Publisher

Informa UK Limited

Subject

Geochemistry and Petrology,Geotechnical Engineering and Engineering Geology,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/03719553.2017.1318570

Reference32 articles.

1. Face Description with Local Binary Patterns: Application to Face Recognition

2. Online monitoring and control of froth flotation systems with machine vision: A review

3. Estimation of particle size in hydrocyclone underflow streams by use of Multivariate Image Analysis

4. Empirical comparison of tree ensemble variable importance measures

5. Interpretation of nonlinear relationships between process variables by use of random forests

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2. Recognition of flotation froth conditions with k-shot learning and convolutional neural networks;Journal of Process Control;2023-08

3. Monitoring of a Platinum Group Metal Flotation Plant with an Isolation Forest;2022 Australian & New Zealand Control Conference (ANZCC);2022-11-24

4. Recent advances in flotation froth image analysis;Minerals Engineering;2022-10

5. Improvement of Computer Recognition of Foam Layer Criteria;2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS);2022-09-26

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