Yuhang Gao

ORCID: 0000-0002-6741-4182
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About
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Research Areas
  • Gait Recognition and Analysis
  • Evolutionary Algorithms and Applications
  • Color Science and Applications
  • Advanced machining processes and optimization
  • Human Pose and Action Recognition
  • Robotics and Sensor-Based Localization
  • Manufacturing Process and Optimization
  • 3D Surveying and Cultural Heritage
  • Image Enhancement Techniques
  • Advanced SAR Imaging Techniques
  • Speech and Audio Processing
  • Artificial Immune Systems Applications
  • Video Surveillance and Tracking Methods
  • Advanced Image Fusion Techniques
  • Engineering Technology and Methodologies
  • Metaheuristic Optimization Algorithms Research
  • Inertial Sensor and Navigation
  • Currency Recognition and Detection

Beihang University
2025

Beijing Institute of Technology
2024

Huazhong University of Science and Technology
2024

Hangzhou Dianzi University
2024

Beijing University of Posts and Telecommunications
2022

10.1109/tim.2025.3546399 article EN IEEE Transactions on Instrumentation and Measurement 2025-01-01

To solve the problems of traditional convolution optimization algorithm (COA), which are its slow convergence speed and likelihood falling into local optima, a Gaussian mutation based on tent chaotic mapping (TCOA) is proposed in this article. First, strategy employed for initialization individual positions to ensure uniform distribution population across feasible search space. Subsequently, kernel used an extensive depth within space mitigate any individuals converging optimum. The approach...

10.1038/s41598-024-82277-y article EN cc-by-nc-nd Scientific Reports 2024-12-28

10.1109/icsidp62679.2024.10868289 article EN 2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP) 2024-11-22

In order to solve the problem of low expressiveness caused by color distortion and poor saturation when performing image enhancement with classic Retinex algorithm, this paper proposes a algorithm base on improved algorithm. input is decomposed into illumination component reflection theory first, then logarithmic transfor-mation Gaussian filtering are performed HSV space approximate visual system's perception intensity physical reflectance. Next, estimated value scene used adjust multi-scale...

10.1109/cacml55074.2022.00046 article EN 2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML) 2022-03-01

The artificial rating accuracy of ancient Chinese coin is low, the cycle long and labor cost high. At present, computer image processing technology mostly used for denomination recognition or corrosion area recognition, there little research on Chinses coins by method. Therefore, this paper proposes a method based combination color continuity features. text adopts k-means algorithm to recognize region image, extracts variance skewness characteristics H I channel in HSI space region. In...

10.1145/3512353.3512357 article EN 2022-01-14
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