Browsing School of Biological and Physical Sciences by Subject "Deep learning"

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Differentially private data fusion and deep learning Framework for Cyber–Physical–Social Systems: State-of-the-art and perspectives

K. Tarus, Samwel (Elsevier, 2021-12)

The modern technological advancement influences the growth of the cyber–physical system and cyber–social system to a more advanced computing system cyber–physical–social system (CPSS). Therefore, CPSS leads the data science ...
An instance-based deep transfer learning approach for resource-constrained environments

Kimutai, Gibson; Forster, Anna (2022)

Although Deep Learning (DL) is revolutionising practices across fields, it requires a large amount of data and computing resources, requires considerable training time, and is thus expensive. This study proposes a transfer ...

Now showing items 1-2 of 2

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