Guohui Li
Orcid: 0000-0001-8175-4311Affiliations:
- Xi'an University of Posts and Telecommunications, School of Electronic Engineering, Shaanxi, China
- Northwestern Polytechnical University, Xi'an, China (PhD 2015)
According to our database1,
Guohui Li
authored at least 19 papers
between 2014 and 2023.
Collaborative distances:
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Bibliography
2023
A novel prediction model based on decomposition-integration and error correction for COVID-19 daily confirmed and death cases.
Comput. Biol. Medicine, April, 2023
Eng. Appl. Artif. Intell., 2023
2022
A new traffic flow prediction model based on cosine similarity variational mode decomposition, extreme learning machine and iterative error compensation strategy.
Eng. Appl. Artif. Intell., 2022
2021
A New Singular Spectrum Decomposition Method Based on Cao Algorithm and Amplitude Aware Permutation Entropy.
IEEE Access, 2021
Complexity Analysis of Three-Dimensional Fractional-Order Chaotic System Based on Entropy Theory.
IEEE Access, 2021
A New Detecting Method for Underwater Acoustic Weak Signal Based on Differential Double Coupling Oscillator.
IEEE Access, 2021
2020
Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine.
Complex., 2020
Underwater Acoustic Signal Prediction Based on Correlation Variational Mode Decomposition and Error Compensation.
IEEE Access, 2020
Complexity Analysis and Synchronization Control of Fractional-Order Jafari-Sprott Chaotic System.
IEEE Access, 2020
A Novel Combined Prediction Model for Monthly Mean Precipitation With Error Correction Strategy.
IEEE Access, 2020
2019
A New Ship-Radiated Noise Feature Extraction Technique Based on Variational Mode Decomposition and Fluctuation-Based Dispersion Entropy.
Entropy, 2019
Feature Extraction of Ship-Radiated Noise Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD, Mutual Information, and Differential Symbolic Entropy.
Entropy, 2019
Noise Reduction Method of Underwater Acoustic Signals Based on CEEMDAN, Effort-To-Compress Complexity, Refined Composite Multiscale Dispersion Entropy and Wavelet Threshold Denoising.
Entropy, 2019
2018
A Hybrid Model for Monthly Precipitation Time Series Forecasting Based on Variational Mode Decomposition with Extreme Learning Machine.
Inf., 2018
Noise Reduction Method of Underwater Acoustic Signals Based on Uniform Phase Empirical Mode Decomposition, Amplitude-Aware Permutation Entropy, and Pearson Correlation Coefficient.
Entropy, 2018
A Hybrid Model for Forecasting Sunspots Time Series Based on Variational Mode Decomposition and Backpropagation Neural Network Improved by Firefly Algorithm.
Comput. Intell. Neurosci., 2018
2014
A Prediction Method for Underwater Acoustic Chaotic Signal Based on RBF Neural Network.
J. Softw., 2014