A novel Bayesian network-based fault prognostic method for semiconductor manufacturing process. - Guodong Wang 005; Ramin M. Hasani; Yungang Zhu; Radu Grosu (ICIT, 2017)

Towards Deterministic and Stochastic Computations with the Izhikevich Spiking-Neuron Model. - Ramin M. Hasani; Guodong Wang 005; Radu Grosu (IWANN (2), 2017)

An Automated Auto-encoder Correlation-based Health-Monitoring and Prognostic Method for Machine Bearings. - Ramin M. Hasani; Guodong Wang 005; Radu Grosu (CoRR, 2017)

Gaussian convex evidence theory for ordered and fuzzy evidence fusion. - Yungang Zhu; Hongying Duan; Xinhua Wang; Baokui Zhou; Guodong Wang 005; Radu Grosu (J. Intell. Fuzzy Syst., 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 005 (Sensors, 2017)

A multi-bias recurrent neural network for modeling milling sensory data. - Guodong Wang 005; Mohamed Amin Ben Sassi; Radu Grosu (ICPS, 2018)

A Machine Learning Suite for Machine Components' Health-Monitoring. - Ramin M. Hasani; Guodong Wang 005; Radu Grosu (AAAI, 2019)

A generative neural network model for the quality prediction of work in progress products. - Guodong Wang 005; Anna Ledwoch; Ramin M. Hasani; Radu Grosu; Alexandra Brintrup (Appl. Soft Comput., 2019)

Intelligent Sea States Identification Based on Maximum Likelihood Evidential Reasoning Rule. - Xuelin Zhang; Xiaojian Xu 003; Xiaobin Xu 002; Diju Gao; Haibo Gao; Guodong Wang 005; Radu Grosu (Entropy, 2020)

Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models. - Xiaojian Xu 003; Zhuangzhuang Zhao; Xiaobin Xu 002; Jianbo Yang; Leilei Chang 001; Xinping Yan; Guodong Wang 005 (Knowl. Based Syst., 2020)

A novel nonlinear causal inference approach using vector-based belief rule base. - Zhenjie Zhang; Xiaobin Xu 002; Peng Chen; Xudong Wu; Xiaojian Xu 003; Guodong Wang 005; Schahram Dustdar (Int. J. Intell. Syst., 2021)

Intelligent identification for vertical track irregularity based on multi-level evidential reasoning rule model. - Zhenjie Zhang; Xiaobin Xu 002; Xuelin Zhang; Xiaojian Xu 003; Zifa Ye; Guodong Wang 005; Schahram Dustdar (Appl. Intell., 2022)

Data classification based on attribute vectorization and evidence fusion. - Xiaojian Xu 003; Xiaobin Xu 002; Pengfei Shi; Zifa Ye; Yu Bai; Shuo Zhang; Schahram Dustdar; Guodong Wang 005 (Appl. Soft Comput., 2022)

Driver Distraction Detection Using Octave-Like Convolutional Neural Network. - Penghua Li; Yifeng Yang; Radu Grosu; Guodong Wang 005; Rui Li 066; Yuehong Wu; Zeng Huang (IEEE Trans. Intell. Transp. Syst., 2022)

Functional importance evaluation approach for cloud manufacturing services based on complex network and evidential reasoning rule. - Zhenjie Zhang; Jiahao Hu; Xiaobin Xu 002; Guodong Wang 005; Schahram Dustdar; Shenghua Chen (Comput. Ind. Eng., 2023)