Zhen Yang
Orcid: 0000-0003-2004-4177
According to our database1,
Zhen Yang
authored at least 26 papers
between 2015 and 2025.
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Bibliography
2025
A public key encryption algorithm based on multi-dimensional general Chebyshev polynomial.
Des. Codes Cryptogr., June, 2025
Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey.
CoRR, May, 2025
J. Supercomput., March, 2025
Appl. Intell., February, 2025
Spatial ergodicity dimension: Ergodic self-similarity of trajectories in discrete chaotic systems.
Commun. Nonlinear Sci. Numer. Simul., 2025
2024
Fire-Net: Rapid Recognition of Forest Fires in UAV Remote Sensing Imagery Using Embedded Devices.
Remote. Sens., August, 2024
Expert Syst. Appl., 2024
2023
Design of a High Throughput Pseudorandom Number Generator Based on Discrete Hyper-Chaotic System.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2023
J. Electronic Imaging, 2023
2022
A Hyper-Chaotically Encrypted Robust Digital Image Watermarking Method with Large Capacity Using Compress Sensing on a Hybrid Domain.
Entropy, 2022
2021
Multim. Tools Appl., 2021
Neurocomputing, 2021
Neurocomputing, 2021
IEEE Access, 2021
2019
Soft Comput., 2019
Breast density analysis based on glandular tissue segmentation and mixed feature extraction.
Multim. Tools Appl., 2019
An image segmentation method of a modified SPCNN based on human visual system in medical images.
Neurocomputing, 2019
2018
SCM-motivated enhanced CV model for mass segmentation from coarse-to-fine in digital mammography.
Multim. Tools Appl., 2018
Neurocomputing, 2018
2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
2016
A new method of micro-calcifications detection in digitized mammograms based on improved simplified PCNN.
Neurocomputing, 2016
A new method of detecting micro-calcification clusters in mammograms using contourlet transform and non-linking simplified PCNN.
Comput. Methods Programs Biomed., 2016
2015
Mass Segmentation in Mammograms Based on the Combination of the Spiking Cortical Model (SCM) and the Improved CV Model.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015