Guodong Wang

According to our database, Guodong Wang authored at least 15 papers between 2017 and 2023.

Collaborative distances:

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

2023

Functional importance evaluation approach for cloud manufacturing services based on complex network and evidential reasoning rule.

Zhenjie Zhang, Jiahao Hu, Xiaobin Xu, Guodong Wang, Schahram Dustdar, Shenghua Chen

Comput. Ind. Eng., 2023

2022

Driver Distraction Detection Using Octave-Like Convolutional Neural Network.

Penghua Li, Yifeng Yang, Radu Grosu, Guodong Wang, Rui Li, Yuehong Wu, Zeng Huang

IEEE Trans. Intell. Transp. Syst., 2022

Data classification based on attribute vectorization and evidence fusion.

Xiaojian Xu, Xiaobin Xu, Pengfei Shi, Zifa Ye, Yu Bai, Shuo Zhang, Schahram Dustdar, Guodong Wang

Appl. Soft Comput., 2022

Intelligent identification for vertical track irregularity based on multi-level evidential reasoning rule model.

Zhenjie Zhang, Xiaobin Xu, Xuelin Zhang, Xiaojian Xu, Zifa Ye, Guodong Wang, Schahram Dustdar

Appl. Intell., 2022

2021

A novel nonlinear causal inference approach using vector-based belief rule base.

Zhenjie Zhang, Xiaobin Xu, Peng Chen, Xudong Wu, Xiaojian Xu, Guodong Wang, Schahram Dustdar

Int. J. Intell. Syst., 2021

2020

Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models.

Xiaojian Xu, Zhuangzhuang Zhao, Xiaobin Xu, Jianbo Yang, Leilei Chang, Xinping Yan, Guodong Wang

Knowl. Based Syst., 2020

Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule.

Xuelin Zhang, Xiaojian Xu, Xiaobin Xu, Diju Gao, Haibo Gao, Guodong Wang, Radu Grosu

Entropy, 2020

2019

A generative neural network model for the quality prediction of work in progress products.

Guodong Wang, Anna Ledwoch, Ramin M. Hasani, Radu Grosu, Alexandra Brintrup

Appl. Soft Comput., 2019

A Machine Learning Suite for Machine Components' Health-Monitoring.

Ramin M. Hasani, Guodong Wang, Radu Grosu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A multi-bias recurrent neural network for modeling milling sensory data.

Guodong Wang, Mohamed Amin Ben Sassi, Radu Grosu

Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2017

A Multi-Sensor Data Fusion Approach for Atrial Hypertrophy Disease Diagnosis Based on Characterized Support Vector Hyperspheres.

Yungang Zhu, Dayou Liu, Radu Grosu, Xinhua Wang, Hongying Duan, Guodong Wang

Sensors, 2017

Gaussian convex evidence theory for ordered and fuzzy evidence fusion.

Yungang Zhu, Hongying Duan, Xinhua Wang, Baokui Zhou, Guodong Wang, Radu Grosu

J. Intell. Fuzzy Syst., 2017

An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings.

Ramin M. Hasani, Guodong Wang, Radu Grosu

CoRR, 2017

Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model.

Ramin M. Hasani, Guodong Wang, Radu Grosu

Proceedings of the Advances in Computational Intelligence, 2017

A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process.

Guodong Wang, Ramin M. Hasani, Yungang Zhu, Radu Grosu

Proceedings of the IEEE International Conference on Industrial Technology, 2017