Abstract: This study introduces two novel hybrid machine-learning architectures for multilabel anomaly detection in electrocardiograms (EKGs): a 1D modified ResNet combined with a transformer encoder ...
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Department of Chemistry, Department of Physics & Astronomy, and Materials Science & Engineering Program, University of California-Riverside, Riverside, California 92521, United States ...
Abstract: Compared to conventional 3D radar systems, 4D radar systems require higher angular resolution in both azimuth and elevation. Besides, sparse arrays offer several advantages, including ...