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Machine Learning Clustering Techniques for Selective Mitigation of Critical Design Features
Selective mitigation or selective hardening is an effective technique to obtain a good trade-off between the improvements in the overall reliability of a circuit and the hardware overhead induced by the hardening techniques.
On the Estimation of Complex Circuits Functional Failure Rate by Machine Learning Techniques
De-Rating or Vulnerability Factors are a major feature of failure analysis efforts mandated by today's Functional Safety requirements.
Machine Learning to Tackle the Challenges of Transient and Soft Errors in Complex Circuits
One part of this reference dataset is used to train the machine learning model and the remaining is used to validate and benchmark the accuracy of the trained tool.
Signal Processing
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