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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 ...
LRU (Least Recently Used) caching strategy Automatic cache invalidation on file changes Size-aware caching with configurable limits Cache statistics and performance metrics Last read result caching ...
Abstract: Urbanization and industrialization have led to a rapid increase in atmospheric air pollution, highlighting the urgent need for intelligent systems to monitor and predict pollution levels.
In the realm of computer graphics, the representation of trees is crucial for various applications. Traditional tree modeling methods such as Rule-based modeling, Image-based modeling, and ...