Haichuan Zhang

ORCID: 0009-0003-1678-6415
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About
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Research Areas
  • Coal Properties and Utilization
  • Gas Sensing Nanomaterials and Sensors
  • Advanced Image Processing Techniques
  • Advanced Chemical Sensor Technologies
  • Atmospheric and Environmental Gas Dynamics
  • Hydrocarbon exploration and reservoir analysis
  • Image and Signal Denoising Methods
  • Indoor and Outdoor Localization Technologies
  • Image Processing Techniques and Applications
  • Robotics and Sensor-Based Localization
  • Underwater Vehicles and Communication Systems

Pennsylvania State University
2024

Southwest Petroleum University
2022

China Information Technology Security Evaluation Center
2020

Dalian University of Technology
2010

Localization has attracted considerable attention in recent years because of the growth location-based services and computer-aided technology. In particular, wireless fingerprint-based positioning techniques have received due to their satisfactory performance with smartphones. this work, a two-level hierarchical structure system is proposed achieve accuracy. First, long-time-evolution (LTE) mobile networks are used provide information, collected measurements LTE signals converted into...

10.1002/mmce.22444 article EN International Journal of RF and Microwave Computer-Aided Engineering 2020-09-14

In recent years, algorithm unrolling has emerged as a powerful technique for designing interpretable neural networks based on iterative algorithms. Imaging inverse problems have particularly benefited from unrolling-based deep network design since many traditional model-based approaches rely optimization. Despite exciting progress, typical heuristically layer-specific convolution weights to improve performance. Crucially, convergence properties of the underlying are lost once parameters...

10.1109/tci.2024.3377132 article EN IEEE Transactions on Computational Imaging 2024-01-01

Abstract The soft-sensor of ozone concentration is introduced. Six secondary variables are chosen in the model. model built based on radial basis function neural network and its parameters confirmed by Gradient-descent algorithm. implemented monitoring system that necessary for generation; thus, it requires no additional hardware cost. response time less than 0.6 seconds. experimental results indicate relative errors 5%. Keywords: OzoneOzone ConcentrationSoft-Sensor ModelRadial Basis...

10.1080/01919510903482236 article EN Ozone Science and Engineering 2010-02-08
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