While 6G is anticipated to take off commercially by 2030, the work-back schedule reveals a tight timeline for wireless ...
Abstract: The existing deep learning based reversible data hiding (RDH) predictors typically adopt standard convolutions for extracting features, which inherently fails to capture contextual ...
Abstract: In modern software development, maintaining consistency between architectural documentation and implementation remains a significant challenge. This research explores how large language ...
The rapid advancement of artificial intelligence (AI) in medical image analysis, particularly deep learning (DL) algorithms, has provided novel solutions for automated TN detection. However, existing ...
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