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

Wenyan Cao, Ranfeng Wang, Minqiang Fan, Xiang Fu, Haoran Wang, Yulong Wang
<span title="2021-05-10">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/khkbaqss45bgnjenoehwasx35u" style="color: black;">Applied intelligence (Boston)</a> </i> &nbsp;
Thus, this paper proposes a new froth image classification method based on the maximal-relevance-minimal-redundancy (MR MR)-semi-supervised Gaussian mixture model (SSGMM) hybrid model for recognition of  ...  reagent dosage condition in the coal flotation process.  ...  classification method based on the MRMR-SSGMM hybrid model for recognition of reagent dosage condition in the coal flotation process.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s10489-021-02328-z">doi:10.1007/s10489-021-02328-z</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34764598">pmid:34764598</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8107202/">pmcid:PMC8107202</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/phch63lyxvdqdmfwd7rgpvzrqu">fatcat:phch63lyxvdqdmfwd7rgpvzrqu</a> </span>
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