5 Result(s)
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Article
Chenxi Huang
Computer Science
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Article
Local differentially private federated learning with homomorphic encryption
Federated learning (FL) is an emerging distributed machine learning paradigm without revealing private local data for privacy-preserving. However, there are still limitations. On one hand, user’ privacy can be...
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Open AccessA new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...
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Article
A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction
Academic performance, a globally understood metric, is utilized worldwide across disparate teaching and learning environments and is regarded as a quantifiable indicator of learning gain. The ability to reliab...
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Denoising of brain magnetic resonance images using a MDB network
The denoising of brain magnetic resonance images could be important for the medical image analysis. Many algorithms have been proposed for this task, especially the deep learning ones which show great success ...
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A dynamic priority strategy for IoV data scheduling towards key data
With the rapid development of Internet of Vehicles (IoV) technology, IoV applications have been developed from their infant stage to intermediate stage, i.e. from primarily providing entertainment and navigati...
