82 research outputs found
Comparison of accuracy and feature dimension under different methods based on tree.
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
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.
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.
Comparison of accuracy and feature dimension under different methods based on RFECV.</p
The flowchart based on EMD with adaptive reconstruction.
The flowchart based on EMD with adaptive reconstruction.</p
Correlation and RMSE of IMFs of heart sound.
(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.
Comparison of accuracy and feature dimension under different methods based on KCCAmRMR.</p
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