Bingsheng Cui

ORCID: 0009-0001-4063-1814
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About
Contact & Profiles
Research Areas
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Advanced Neural Network Applications
  • Face and Expression Recognition

Qiqihar University
2025

Guangxi University
2024

In view of the inadequacy interactivity and ecological aesthetics in park landscape, existing methods are often difficult to achieve accurate terrain analysis design, resulting unsatisfactory landscape effects. order make up for this shortcoming, research innovatively integrates sparrow search algorithm (SSA) self-organizing mapping (SOM) conduct in-depth topography. SSA, with its powerful global ability, can quickly lock optimal solution region. SOM uses unsupervised learning effectively...

10.20965/jaciii.2025.p0241 article EN cc-by-nd Journal of Advanced Computational Intelligence and Intelligent Informatics 2025-03-19

Intelligent defect detection of insulators is faster, more accurate, standardized, and cheaper than manual with necessary massive inspection work. Insulator datasets are important for training models. Nevertheless, public scarce lack variety, which hampers improving accuracy achieving industrial-grade accuracy. We construct a comprehensive beyond the current insulator dataset—the diverse dataset (DINS). DINS contains over 10 000 images involving three types (porcelain, glass, composite)...

10.1109/tii.2024.3417290 article EN IEEE Transactions on Industrial Informatics 2024-07-02
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