Xiang Wu

ORCID: 0000-0003-4280-5280
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Research Areas
  • Energy and Environment Impacts
  • Human Pose and Action Recognition
  • Energy, Environment, and Transportation Policies
  • Advanced Computing and Algorithms
  • Adaptive optics and wavefront sensing
  • Hand Gesture Recognition Systems
  • Gait Recognition and Analysis
  • Rangeland Management and Livestock Ecology
  • Video Surveillance and Tracking Methods
  • Optical measurement and interference techniques
  • Land Use and Ecosystem Services
  • 3D Surveying and Cultural Heritage
  • Image Enhancement Techniques
  • Environmental Education and Sustainability
  • Water Resources and Sustainability
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Henan University of Technology
2022-2025

Abstract Aiming at the problem that difference in fault data distribution caused by variation of gear and bearing conditions during operation rotating machinery affects accuracy diagnosis, a multi-condition diagnosis approach based on whale optimization algorithm (WOA), variational mode decomposition (VMD), deep residual shrinkage network (DRSN) is proposed. Firstly, WOA employed to optimize parameters level penalty factor value VMD, enhancing its noise resistance. Subsequently, VMD...

10.1088/1361-6501/adda6a article EN Measurement Science and Technology 2025-05-19

10.1109/ccdc62350.2024.10587812 article EN 2022 34th Chinese Control and Decision Conference (CCDC) 2024-05-25

A reconstruction technique using local grating complement is suggested in order to address the issues of phase error and decreased accuracy brought on by deformation strong reflection surface object during three-dimensional structured light. First, it investigated how measured object's material characteristics parameters like specular angle contribute missing phenomenon 3D reconstructed point cloud model. Second, a completion approach added before unwrapping finish portion reflective area...

10.1109/ccdc58219.2023.10327311 article EN 2022 34th Chinese Control and Decision Conference (CCDC) 2023-05-20

We present a semiglobal stereo matching technique that combines enhanced census transform with unidirectional dynamic programming optimization. This method not only improves accuracy but also substantially reduces noise interference by using the 8-domain pixel median instead of centre in standard and optimizing initial generation value 8-path aggregation optimization algorithm. The experimental findings show this suggested strategy efficiently avoids produced various noises false rate significantly.

10.1155/2022/4685700 article EN cc-by Mobile Information Systems 2022-08-30
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