selection

The influence of coal segregation on the physicochemical properties of the blend during charging of coke ovens

It is shown that the ash content of coal is unevenly distributed by size classes. The 25-50 mm class has the highest average ash content (13.1% wt.), but exhibits significant variability (6.8-32.1% wt.). Smaller classes (<0.5 mm) have a higher ash content (up to 15.1% wt.) compared to the average sizes (10.9% wt. on average). The stability of the technological properties of the coal charge during injection was confirmed, however, there are discrepancies in particle size, volatile matter yield and ash content, which increased from the center of the tower to its outer rows.

PROMETHEE filter-based method for microarray gene expression data

Gene expression datasets have been successfully applied for a variety of purposes, including cancer classification.  The challenges faced in developing effective classifiers for expression datasets are high dimensionality and over-fitting.  Gene selection is an effective and efficient method to overcome these challenges and improve the predictive accuracy of a classifier.  Based on PROMETHEE, this paper introduces a multi-filter ensemble approach by integrating the results of two potential filters namely MaC$\Psi$-filter and PCRWG-filter to pre-select the most informati