Abstract: Sign language recognition (SLR) has long been plagued by insufficient model representation capabilities. Although current pre-training approaches have alleviated this dilemma to some extent ...
Abstract: We introduce a new convolutional autoencoder architecture for user modeling and recommendation tasks with several improvements over the state of the art. First, our model has the flexibility ...
Abstract: The emerging fluid antenna systems (FASs) enable position-flexible antennas that provide a new degree of freedom for more diversity and multiplexing benefits. However, the challenge for high ...
ABSTRACT: Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex ...
Abstract: Low-altitude atmospheric ducts are anomalous atmospheric phenomena in the troposphere, significantly affecting the operation of microwave or ultrashort-wave radio systems. Therefore, an ...
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