Payment delays and denials aren’t new, but the forces driving them are more complex and harder to detect than ever. Many industry analyses use data voluntarily provided by hospitals to track denial ...
Objective or purpose: To investigate an ensemble-based approach utilizing deep learning models for accurate and interpretable detection of Macular Telangiectasia Type 2 (MacTel) on optical coherence ...
Abstract: In this paper, we propose the large communication model (LCM), a deep neural network receiver designed specifically for orthogonal frequency-division multiplexing (OFDM) systems. Inspired by ...
The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...
Abstract: In multisource clustering tasks, the number of clusters in each source or view may not align with the number of ground-truth clusters. Existing ensemble clustering methods face two notable ...
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