82 research outputs found

    EMD decomposition principle.

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    EMD decomposition principle.</p

    Comparison of accuracy and feature dimension under different methods based on tree.

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    Comparison of accuracy and feature dimension under different methods based on tree.</p

    Evolution of Sulfur Species on Titanium Ore Modified Activated Coke during Flue Gas Desulfurization

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    This study aimed to investigate the evolution of sulfur species on titanium ore, Fe<sub>2</sub>O<sub>3</sub>, and TiO<sub>2</sub> modified activated coke (i.e., TOAC, FeAC, and TiAC) during the flue gas desulfurization process. The results showed that TOAC, FeAC, and TiAC displayed better desulfurization performance than a blank sample, with the highest sulfur capacity for TOAC at 209.4 mg g<sup>–1</sup>. With desulfurization time, the ratios of the adsorbed-S and other-S on activated coke decreased gradually, while those of the water-soluble sulfate increased significantly. The water-soluble sulfate was the main desulfurization product, which accounted for 66.1%, 78.4%, and 76.6% of total removed SO<sub>2</sub> for FeAC, TiAC, and TOAC at breakthrough time, respectively. The production of water-soluble sulfate could be related to the decrease of CO groups and the increase of C–O groups. Meanwhile, the produced water-soluble sulfate covered the active sites (i.e., functional groups, TiO<sub>2</sub>, and Fe<sub>2</sub>O<sub>3</sub>) on activated coke, resulting in the decrease of the adsorption and oxidation of SO<sub>2</sub>. Higher sulfur capacity of TOAC could be attributed to the synergistic effects between Fe<sub>2</sub>O<sub>3</sub> and TiO<sub>2</sub> on TOAC. TiO<sub>2</sub> can serve as an oxygen carrier and promote the transfer of oxygen molecules to oxidize SO<sub>2</sub>, while Fe<sub>2</sub>O<sub>3</sub> was transformed into Fe<sub>2</sub>(SO<sub>4</sub>)<sub>3</sub>

    The average classification accuracy versus the number of top-ranking features selected by mRMR, KCCAmRMR, QPFS, MIC and Tree and RFECV using RF classifier from our Lab data.

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    The average classification accuracy versus the number of top-ranking features selected by mRMR, KCCAmRMR, QPFS, MIC and Tree and RFECV using RF classifier from our Lab data.</p

    Comparison of accuracy and feature dimension under different methods based on RFECV.

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    Comparison of accuracy and feature dimension under different methods based on RFECV.</p

    The flowchart based on EMD with adaptive reconstruction.

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    The flowchart based on EMD with adaptive reconstruction.</p

    Overall method flow chart.

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    Overall method flow chart.</p

    Correlation and RMSE of IMFs of heart sound.

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    (a) Correlation and RMSE of IMF of AS, MS, MR, MVP; (b) Correlation and RMSE of IMFs of ASD, VSD, TOF&NHS.</p

    Comparison of accuracy and feature dimension under different methods based on KCCAmRMR.

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    Comparison of accuracy and feature dimension under different methods based on KCCAmRMR.</p

    Comparison of results using Yaseen database.

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    Comparison of results using Yaseen database.</p
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