28 / 2020-03-12 00:45:04
A review of Machine Learning applications in froth image analysis during flotation process
Froth Flotation;,Machine Learning,Deep Learning,convolutional neural network,Image Analysis
全文待审
Alicja Szmigiel / University of Alberta
Yuanyuan Pu / Chongquing University
Derek Apel / University of Alberta
Robert Hall / University of Alberta
Froth flotation is a complex and an essential process, which is being widely used in various industries. The main purpose of this process is to separate particles of minerals and to achieve satisfactory beneficiation. The complicated nature of the process makes it challenging to monitor and control. Machine Learning techniques have an increasing influence on an extensive variety of research, including mineral processing. Many researchers have attempted to apply Machine Learning techniques in flotation image analysis, to relate the features in froth appearance with the performance and efficiency of the process. This review presents recently published researches that focused on applying ML models in image analysis of the froth generated during flotation process.
重要日期
  • 会议日期

    11月21日

    2021

    11月25日

    2021

  • 11月01日 2021

    初稿截稿日期

  • 11月05日 2021

    注册截止日期

主办单位
International Committee of Mine Safety Science and Engineering
承办单位
GIG
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