In modern processors, instruction storage mostly adopts a multi-level caching mode, where the cache capacity is often limited due to various factors, such as area and cost. This limitation leads to cache miss during p...
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Polysomnography (PSG)-based sleep staging is vital for assessing sleep quality. As a state-of-the-art deep learning model structure, Transformer has been increasingly utilized to enhance sleep stage classification eff...
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The mechanism for reacting to the changes in an environment when detected is the key issue that distinguishes various algorithms proposed for dynamic multi-objective optimization problems (DMOPs). The severity of chan...
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This paper proposes a joint algorithm based on multi-objective optimization of power allocation and partial-fixed interference alignment in order to address the issues of inadequate selection of optimization objective...
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Mammography is main tests used for breast cancer risk assessment. However, the mass segmentation and classification of mammograms are extremely challenging. To reduce computational costs and the workloads of radiologi...
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Flying Ad-Hoc Networks (FANETs) enable the deployment of Unmanned aerial vehicles (UAVs) in a clustered manner to execute complex missions, yet their inherent openness poses significant challenges to communication sec...
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The proposed study describes the functioning of two modern deep learning models, namely EfficientNet and MobileNetV2, within the scope of image classification from a wide range of datasets. This study is designed to c...
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Two major financial crimes that have reached epidemic proportions worldwide are credit card holder fraud and financial statement fraud. The efficacy of corporate governance, the calibre of financial reports, and the l...
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Feature selection is a significant process in brain-computer interfaces (BCIs) that has the potential to significantly enhance system performance, especially if a large number of features are present. Feature selectio...
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