Abstract: Effective feature extraction is essential for 2D image analysis, particularly in handling high-dimensional data, local pattern variations, and lighting changes. This study introduces ...
Two-dimensional (2D) materials have emerged as a significant class of materials promising for photocatalysis, and defect ...
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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