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Experimental results using benchmark datasets show a high accuracy ( 91%) for the morphology-based segmentation task; for the classification task, the KNN offers the highest accuracy among the compared classifiers ( 87%). However, this should be noted that this method still awaits clinical validation, and therefore should not be used to clinically diagnose ongoing COVID-19 infection.In a chirped pulse experiment, the strength of the signal level is proportional to the amplitude of the electric field, which is weaker in the mill
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