Winners of the U.S. defense Counter-small Unmanned Aircraft System (C-sUAS) Low-Cost Sensing (LCS) challenge have been ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
A simple way of thinking about medical criticality, supply chain risk and their interactions can lead to more sustainable solutions for drug shortages. When pharmacists in France walked out of their ...
Abstract: The emerging matrix learning methods have achieved promising performances in electroencephalogram (EEG) classification by exploiting the structural information between the columns or rows of ...
When you purchase an independently reviewed book through our site, we earn an affiliate commission. By Kathryn Harrison MATRIX By Lauren Groff Maybe it’s the return of children’s crusades, Greta ...
Background: There is a demand for additional alternative methods that can allow the differentiation of the breast tumor into molecular subtypes precisely and conveniently. Purpose: The present study ...
EEG signal classification has been a research hotspot recently. The combination of EEG signal classification with machine learning technology is very popular. Traditional machine leaning methods for ...
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