Qin Zhang
Orcid: 0000-0003-1214-9657Affiliations:
- Beihang University, School of Computer Science and Engineering, Beijing, China
According to our database1,
Qin Zhang
authored at least 22 papers
between 2012 and 2022.
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Bibliography
2022
An Industrial Fault Diagnostic System Based on a Cubic Dynamic Uncertain Causality Graph.
Sensors, 2022
AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification.
Artif. Intell. Rev., 2022
2021
Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration.
Artif. Intell. Rev., 2021
The M-DUCG Methodology to Calculate the Joint Probability Distribution of Directed Cycle Graph With Local Data and Domain Causal Knowledge.
IEEE Access, 2021
A New Inference Algorithm of Dynamic Uncertain Causality Graph Based on Conditional Sampling Method for Complex Cases.
IEEE Access, 2021
2020
The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference.
IEEE Trans. Neural Networks Learn. Syst., 2020
Differential Diagnostic Reasoning Method for Benign Paroxysmal Positional Vertigo Based on Dynamic Uncertain Causality Graph.
Comput. Math. Methods Medicine, 2020
IEEE Access, 2020
2018
Cubic Dynamic Uncertain Causality Graph: A New Methodology for Modeling and Reasoning About Complex Faults With Negative Feedbacks.
IEEE Trans. Reliab., 2018
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases.
IEEE Trans. Neural Networks Learn. Syst., 2018
2017
Model Event/Fault Trees With Dynamic Uncertain Causality Graph for Better Probabilistic Safety Assessment.
IEEE Trans. Reliab., 2017
2016
Dynamic Uncertain Causality Graph Applied to Dynamic Fault Diagnoses and Predictions With Negative Feedbacks.
IEEE Trans. Reliab., 2016
Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph.
IEEE Trans. Neural Networks Learn. Syst., 2016
Identification of Pivotal Causes and Spreaders in the Time-Varying Fault Propagation Model to Improve the Decision Making under Abnormal Situation.
Qual. Reliab. Eng. Int., 2016
2015
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Continuous Variable, Uncertain Evidence, and Failure Forecast.
IEEE Trans. Syst. Man Cybern. Syst., 2015
Dynamic Uncertain Causality Graph Applied to Dynamic Fault Diagnoses of Large and Complex Systems.
IEEE Trans. Reliab., 2015
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Directed Cyclic Graph and Joint Probability Distribution.
IEEE Trans. Neural Networks Learn. Syst., 2015
2014
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Statistics Base, Matrix, and Application.
IEEE Trans. Neural Networks Learn. Syst., 2014
A Modeling and Probabilistic Reasoning Method of Dynamic Uncertain Causality Graph for Industrial Fault Diagnosis.
Int. J. Autom. Comput., 2014
The methodology of Dynamic Uncertain Causality Graph for intelligent diagnosis of vertigo.
Comput. Methods Programs Biomed., 2014
2013
An adaptive decision method using structure feature analysis on dynamic fault propagation model.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
2012
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Discrete DAG Cases.
J. Comput. Sci. Technol., 2012