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May 31, 2026International Journal of Grid and Utility Computing0 citations

Smart library retrieval method based on feature fusion and FCN

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XYXianghu Ye

Key Points

  • This research aims to develop an advanced method for retrieving information in smart libraries using feature fusion and Fully Convolutional Networks (FCN).
  • Implemented a feature fusion technique to enhance data retrieval.
  • Utilized Fully Convolutional Networks (FCN) for improved processing of library data.
  • Conducted evaluations to compare the new retrieval method against current standard techniques.
  • The new retrieval method improved accuracy by 25% (p<0.05).
  • Enhanced speed of data retrieval by 30%, significantly reducing wait times for users.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Xianghu Ye (2026) studied this question.

synapsesocial.com/papers/6a1bd0fa5783ba022b6fca6dhttps://doi.org/10.1504/ijguc.2026.10078884
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