Zhenxing Liu

Orcid: 0000-0002-9944-7464

Affiliations:
  • Wuhan University of Science and Technology, School of Information Science and Engineering, Wuhan, China


According to our database1, Zhenxing Liu authored at least 17 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Multiple exponential stability and instability for state-dependent switched neural networks with time-varying delays and piecewise-linear radial basis activation functions.
Neurocomputing, March, 2023

Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning.
Comput. Biol. Medicine, February, 2023

Research on rolling bearing fault diagnosis based on Ensemble Empirical Mode Decomposition and Hilbert envelope spectrum analysis.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

2022
A semi-supervised learning approach for COVID-19 detection from chest CT scans.
Neurocomputing, 2022

Diagnosis of Arrhythmia Based on Multi-scale Feature Fusion and Imbalanced Data.
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

2021
Multiple O(t-q) stability and instability of time-varying delayed fractional-order Cohen-Grossberg neural networks with Gaussian activation functions.
Neurocomputing, 2021

Fault diagnosis with synchrosqueezing transform and optimized deep convolutional neural network: An application in modular multilevel converters.
Neurocomputing, 2021

Remaining useful life prediction of tool with BiGRU-Attention and improved Particle Filter.
Proceedings of the CAA Symposium on Fault Detection, 2021

2020
Multiple O(t-α) stability for fractional-order neural networks with time-varying delays.
J. Frankl. Inst., 2020

Demand response capacity constrained optimisation of multicast routing in smart grid.
Int. J. Wirel. Mob. Comput., 2020

2019
Diagnosis and location of the open-circuit fault in modular multilevel converters: An improved machine learning method.
Neurocomputing, 2019

Burst Traffic Awareness WRR Scheduling Algorithm in Wide Area Network for Smart Grid.
Proceedings of the Communications and Networking, 2019

Diagnose of Sub-module Fault in Modular Multilevel Converters Based on Moving Average Method.
Proceedings of the CAA Symposium on Fault Detection, 2019

Fault Detection of Modular Multilevel Converter with Kalman Filter Method.
Proceedings of the CAA Symposium on Fault Detection, 2019

2017
Review of the Fault Mechanism and Diagnostic Techniques for the Range Extender Hybrid Electric Vehicle.
IEEE Access, 2017

2013
H<sub>∞</sub> fault detection for nonlinear networked systems with multiple channels data transmission pattern.
Inf. Sci., 2013

2012
Fault Detection for Nonlinear Networked Control Systems with Markov Data Transmission Pattern.
Circuits Syst. Signal Process., 2012


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