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Cited by in F6Publishing
For: Nie H, Zhang Q. A New Inference Algorithm of Dynamic Uncertain Causality Graph Based on Conditional Sampling Method for Complex Cases. IEEE Access 2021;9:94523-36. [DOI: 10.1109/access.2021.3093205] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Qi B, Zhang L, Liang J, Tong J. Combinatorial Techniques for Fault Diagnosis in Nuclear Power Plants Based on Bayesian Neural Network and Simplified Bayesian Network-Artificial Neural Network. Front Energy Res 2022;10:920194. [DOI: 10.3389/fenrg.2022.920194] [Reference Citation Analysis]
2 Zhu Y, Guo W, Liu H. Knowledge Representation and Reasoning with an Extended Dynamic Uncertain Causality Graph under the Pythagorean Uncertain Linguistic Environment. Applied Sciences 2022;12:4670. [DOI: 10.3390/app12094670] [Reference Citation Analysis]
3 Nie H, Zhang Q. Optimization for Logic Operation Problem in Stochastic Simulation of Dynamic Causality Uncertain Graph. 2021 3rd International Conference on Applied Machine Learning (ICAML) 2021. [DOI: 10.1109/icaml54311.2021.00029] [Reference Citation Analysis]
4 Nie H, Zhang Q. Incomplete Relationship in Sampling Inference Algorithm of Dynamic Uncertain Causality Graph. 2021 3rd International Conference on Applied Machine Learning (ICAML) 2021. [DOI: 10.1109/icaml54311.2021.00030] [Reference Citation Analysis]
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