A k-shot learning approach to recognition of flotation froth conditions with convolutional...

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 …
被引用次数：49 相关文章 所有 2 个版本

Self-supervised dynamic and static feature representation learning method for flotation monitoring

M Ai, Y Xie, Z Tang, J Wu, P Li, J Zhang - Powder Technology, 2024 - Elsevier
Froth flotation is a widely used beneficiation method in mineral processing. Accurate grade
monitoring is crucial for efficient minerals separation. However, despite recent developments …
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Recognition of flotation froth conditions with k-shot learning and convolutional neural networks

X Liu, C Aldrich - Journal of Process Control, 2023 - Elsevier
In this study, previous work on k-shot learning in flotation froth image analysis using small
sets of froth images, is extended. As before, image synthesis is used to augment these data …
被引用次数：5 相关文章

Abnormal state prediction of flotation process based on dual attention mechanism and multivariate information fusion

S Wang, Y Fu, L Zhang, X Li - The Canadian Journal of …, 2024 - Wiley Online Library
Predicting abnormal conditions in flotation processes is vital for safety, efficiency, and
product quality. However, existing studies lack predictions of abnormal working conditions in …
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Automatic Microstructural Classification of Ultrahigh Carbon Steel with Vision Transformers and Convolutional Neural Networks

X Liu, C Aldrich - IFAC-PapersOnLine, 2024 - Elsevier
Microstructural classification is key to better understanding of the relationships between the
microstructures of carbon steels and their properties, as well as the development of …
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