Peng Yang

ORCID: 0009-0008-1315-4224
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About
Contact & Profiles
Research Areas
  • Crop Yield and Soil Fertility
  • Acute Ischemic Stroke Management
  • Water Quality Monitoring Technologies
  • Water Quality Monitoring and Analysis
  • Aerospace Engineering and Energy Systems
  • Advanced Measurement and Metrology Techniques
  • Machine Learning in Materials Science
  • Advanced Fiber Optic Sensors
  • Food composition and properties
  • Neural Networks and Applications
  • Biomimetic flight and propulsion mechanisms
  • Stroke Rehabilitation and Recovery
  • Advanced Image Processing Techniques
  • Agriculture, Plant Science, Crop Management
  • Structural Health Monitoring Techniques
  • Vehicle Dynamics and Control Systems
  • AI in cancer detection
  • Model Reduction and Neural Networks
  • Spectroscopy and Chemometric Analyses
  • Colorectal Cancer Screening and Detection
  • Marine and coastal ecosystems
  • Algal biology and biofuel production
  • Diabetic Foot Ulcer Assessment and Management
  • Medical Imaging and Analysis
  • IPv6, Mobility, Handover, Networks, Security

Shenzhen University
2023-2024

China University of Mining and Technology
2024

National University of Defense Technology
2024

Beijing Institute of Technology
2023

Heilongjiang Bayi Agricultural University
2023

Xiamen University
2016

Beijing University of Posts and Telecommunications
2013

Chongqing Technology and Business University
2006

Vertical handoff is crucial to future wireless communication. In this paper, a two-step vertical decision algorithm based on dynamic weight compensation proposed. This adopts the filtering mechanism reduce system cost and improves conventional by consistency adjustment. The experimental results show that our outperforms traditional increasing of matrix, fully taking advantages range network choices reaching better load balance whole environment.

10.1109/iccw.2013.6649388 article EN 2013-06-01

In this study, the possibility of employing a difference approximation to facilitate calculation group refractive index air (GRA) was investigated. The forward, backward, and central methods were used numerically approximate first-order derivatives phase based on Edlè-empirical equations. To confirm validity calculations, calculated results compared with theoretical analysis values in related paper. It found that GRA computation could be easily approximated by two-point method step size 10 nm.

10.2971/jeos.2016.16013 article EN cc-by Journal of the European Optical Society Rapid Publications 2016-01-01

In current optical systems, defocus blur is inevitable due to the constrained depth of field. However, it difficult accurately identify amount at each pixel position as point spread function changes spatially. this paper, we introduce a histogram-invariant spatial aliasing sampling method for reconstructing all-in-focus images, which addresses challenge insufficient pixel-level annotated samples, and subsequently introduces high-resolution network estimating spatially varying maps from...

10.1364/oe.519059 article EN cc-by Optics Express 2024-02-08

In soybeans from different years, the infrared spectroscopy waveforms exhibit similarities, yet variations in aging time lead to significant differences their fatty acid content. To rapidly discern year of soybean production, this study employed ten feature extraction algorithms conjunction with Convolutional Neural Networks (CNN) establish models for classifying years (2019, 2020, and 2021). The research findings reveal following: (1) CNN models, after extraction, all demonstrated improved...

10.1590/1809-4430-eng.agric.v43n6e20230130/2023 article EN cc-by Engenharia Agrícola 2023-12-01
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