Abstract: This paper proposes an innovative event-triggered relearning strategy for neural network modeling, to enhance prediction accuracy under the non-stationary and variable conditions frequently ...
Abstract: We develop a charge deficit-based non-quasi-static (NQS) model that is compatible with neural network-based transistor compact models for transient, AC, and RF simulations. The charge ...
Datadog supports open source projects. Learn more on Datadog for Open Source Projects. datadog-static-analyzer is the static analyzer engine for Datadog static analysis. You can choose the rules to ...
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