Machine learning (ML) is a commonly employed computer-assisted tool for ECG diagnosis with above 85 % correct. However, the interpretability of the prediction has become a barrier for the clinical use. To enhance the ...
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This paper explores the resource allocation optimisation of New Radio Physical Uplink Shared Channels with an emphasis on the effective implementation of Phase Tracking Reference Signals and Demodulation Reference Sig...
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We study joint downlink-uplink beamforming design for wireless federated learning (FL) with a multi-antenna base station. Considering analog transmission over noisy channels and uplink over-the-air aggregation, we der...
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Automatic License Plate Recognition (ALPR) systems play a crucial role in traffic management and security applications, and the development of accurate and efficient ALPR models is essential for their success. This st...
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Radar has garnered great interest for remote health monitoring due to its ambient operation, effectiveness in the dark, and inability to make visual recordings of private scenes/faces. However, the current state-of-th...
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Recently, semantic segmentation methods leveraging image generation models have garnered significant attention. In particular, approach based on Diffusion models (DDPM) that utilize mid-level activations from the diff...
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Fake news dissemination on social media poses a significant threat to the integrity of information and public discourse. This research proposes an emotion-aware fake news detection model using BERT embeddings. Leverag...
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The increasing integration of renewable energy sources in modern power systems has led to a decline in system inertia, raising concerns about frequency stability following large disturbances. Determining critical iner...
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Dealing with voltage sags during motor startup is crucial because they can delay power restoration and lead to widespread failures for industrial loads and distribution systems. A novel approach is introduced to inves...
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Modifying an algorithm that has been established over many years and making it even faster has always been a fascinating and challenging area in the field of algorithms, which motivated us to take the challenge of imp...
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