A review of bayesian methods in electronic design automation
The utilization of Bayesian methods has been widely acknowledged as a viable solution for
tackling various challenges in electronic integrated circuit (IC) design under stochastic …
tackling various challenges in electronic integrated circuit (IC) design under stochastic …
Fast and efficient high-sigma yield analysis and optimization using kernel density estimation on a bayesian optimized failure rate model
With ever-increasing transistor density in nanoscale-integrated circuits, the impact of
process variations on circuit performance and chip yield becomes dominant. To prevent …
process variations on circuit performance and chip yield becomes dominant. To prevent …
Reversible Gating Architecture for Rare Failure Detection of Analog and Mixed-Signal Circuits
Due to the growing complexity and numerous manufacturing variation in safety-critical
analog and mixed-signal (AMS) circuit design, rare failure detection in the high-dimensional …
analog and mixed-signal (AMS) circuit design, rare failure detection in the high-dimensional …
Learning Architectures and Algorithms for Collision Avoidance and Sensor Fusion
MS Shim - 2020 - oaktrust.library.tamu.edu
The deep learning, which is a machine learning method based on artificial neural networks,
enables cutting edge technologies such as autonomous driving, collision avoidance, activity …
enables cutting edge technologies such as autonomous driving, collision avoidance, activity …