Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment

Research article (IEEE Transactions on Electromagnetic Compatibility, 2020) · cited 17× · AI/ML
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Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment

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Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-hybrid-random-fuzzy-uncertainty-quantification-for-emc-and-si-assessment
MLA “Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-hybrid-random-fuzzy-uncertainty-quantification-for-emc-and-si-assessment.
BibTeX @misc{4ortxyz_machine-learning-based-hybrid-random-fuzzy-uncertainty-quantification-for-emc-and-si-assessment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine-Learning-Based Hybrid Random-Fuzzy Uncertainty Quantification for EMC and SI Assessment}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-hybrid-random-fuzzy-uncertainty-quantification-for-emc-and-si-assessment}, note = {Accessed: 2026-05-24}}
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