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Published in 2019 at "Journal of pharmaceutical and biomedical analysis"
DOI: 10.1016/j.jpba.2019.05.064
Abstract: In this paper, we propose a novel framework to select the most relevant X-Ray Fluorescence (XRF) energy values (i.e., features) to enhance the clustering (grouping) of counterfeit and illicit medical tablets. The framework is based…
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Keywords:
feature selection;
feature;
ray fluorescence;
counterfeit illicit ... See more keywords