Dequan Zhang

According to our database, Dequan Zhang authored at least 10 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An efficient sequential anisotropic RBF reliability analysis method with fast cross-validation and parallelizability.

Guosheng Li, Shuaichao Ma, Dequan Zhang, Leping Yang, Weihua Zhang, Zeping Wu

Reliab. Eng. Syst. Saf., January, 2024

2023

Kinematic trajectory accuracy reliability analysis for industrial robots considering intercorrelations among multi-point positioning errors.

Dequan Zhang, Shuoshuo Shen, Jinhui Wu, Fang Wang, Xu Han

Reliab. Eng. Syst. Saf., 2023

Detection of Financial Fraudulent Activities with Machine Learning: A Case Study of Detecting Potential Tax and Invoice Fraud.

Maohong Tian, Jian Liang, Dequan Zhang, Xintong Zhang, Zuo Wang, Hualin Li

Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence, 2023

2022

Enriched single-loop approach for reliability-based design optimization of complex nonlinear problems.

Meide Yang, Dequan Zhang, Xu Han

Eng. Comput., 2022

2021

Hybrid Learning Algorithm of Radial Basis Function Networks for Reliability Analysis.

Dequan Zhang, Ning Zhang, Nan Ye, Jianguang Fang, Xu Han

IEEE Trans. Reliab., 2021

A hybrid adaptive Kriging-based single loop approach for complex reliability-based design optimization problems.

Meide Yang, Dequan Zhang, Chao Jiang, Xu Han, Qing Li

Reliab. Eng. Syst. Saf., 2021

Research on multiple-state industrial robot system with epistemic uncertainty reliability allocation method.

Bin Bai, Ze Li, Junyi Zhang, Dequan Zhang, Cheng-Wei Fei

Qual. Reliab. Eng. Int., 2021

2020

A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots.

Jinhui Wu, Dequan Zhang, Jie Liu, Xu Han

IEEE Trans. Reliab., 2020

2019

Experimental dataset for kinematic accuracy reliability of industrial robot.

Dequan Zhang

Dataset, June, 2019

2010

The Application of the Multimedia Technology in Teaching Introduction to Tourism.

Jie Li, Dequan Zhang

Proceedings of the 2010 International Conference on Machine Vision and Human-machine Interface, 2010