Le Feng

ORCID: 0000-0003-2645-2630
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About
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Research Areas
  • Chaos-based Image/Signal Encryption
  • Advanced Steganography and Watermarking Techniques
  • Mathematical Dynamics and Fractals
  • Sentiment Analysis and Opinion Mining
  • Nonlinear Dynamics and Pattern Formation
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Chaos control and synchronization
  • Mass Spectrometry Techniques and Applications
  • Analytical Chemistry and Chromatography
  • DNA and Biological Computing
  • Text and Document Classification Technologies
  • stochastic dynamics and bifurcation
  • Advanced Text Analysis Techniques
  • Neural Networks Stability and Synchronization
  • Fractal and DNA sequence analysis

Tianjin Medical University
2023

Dalian University of Technology
2018-2020

Dalian University
2018-2020

This paper proposes a new spatiotemporal chaos model, which is logistic-dynamic coupled logistic map lattice (LDCML). Through large number of simulation experiments and theoretical analysis, it can be proved that chaotic region has the larger parameter space, system more compared with traditional CML by introduction dynamic method, suitable for encryption secure communications. So, this presents bit-level adaptive image algorithm based on system, further demonstrates good from aspect performance.

10.1109/access.2018.2855726 article EN cc-by-nc-nd IEEE Access 2018-01-01

Quadrupole mass spectrometers (QMS) are widely used for clinical diagnosis and chemical analysis. To obtain the best experimental results, must be calibrated to an ideal setting before use. However, tuning current QMS is challenging. Traditional techniques possess low automation levels rely primarily on skilled engineers. Therefore, in this study, we propose innovative auto-tuning algorithm based improved particle swarm optimization (PSO) automatically find optimal solution of parameters...

10.3390/bioengineering10091079 article EN cc-by Bioengineering 2023-09-12
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