Xuejin Gao

Orcid: 0000-0003-0785-2399

According to our database1, Xuejin Gao authored at least 15 papers between 2006 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Data-Driven Key Performance Indicator-Related Monitoring Scheme for Dynamic Nonlinear Systems.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

2023
Towards big data driven construction industry.
J. Ind. Inf. Integr., October, 2023

VIT-GADG: A Generative Domain-Generalized Framework for Chillers Fault Diagnosis Under Unseen Working Conditions.
IEEE Trans. Instrum. Meas., 2023

ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition.
IEEE Trans. Instrum. Meas., 2023

2022
Takagi-Sugeno Fuzzy Realization of Stability Performance-Based Fault-Tolerant Control for Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2022

Fault Detection Approach for Nonlinear Systems via Nonlinear Factorization and Fuzzy Models.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Research and application of RBF neural network based on modified Levenberg-Marquardt.
J. Comput. Methods Sci. Eng., 2022

Dynamic channel pruning via activation gates.
Appl. Intell., 2022

2021
Out-of-sample data visualization using bi-kernel t-SNE.
Inf. Vis., 2021

A Signal Based "W" Structural Elements for Multi-scale Mathematical Morphology Analysis and Application to Fault Diagnosis of Rolling Bearings of Wind Turbines.
Int. J. Autom. Comput., 2021

2019
KECA Similarity-Based Monitoring and Diagnosis of Faults in Multi-Phase Batch Processes.
Entropy, 2019

2015
The multi-classification algorithm combining an improved binary tree with SVM and its application of fault diagnosis.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2012
An Indoor Mobile Visual Localization Algorithm Based On Harris-Sift.
Intell. Autom. Soft Comput., 2012

2009
Comparison Studies of LS_SVM and SVM on Modeling for Fermentation Processes.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2006
Modeling Based on SOFM and the Dynamic <i>epsilon</i>-SVM for Fermentation Process.
Proceedings of the Intelligent Computing, 2006


  Loading...