Monte Carlo (MC) simulations use repeated random sampling to relate process variations to circuit performance and functionality, thus determining how they impact yield. However, for comprehensive ...

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Inspired by high-dimensional data and the ideals of open science, high-energy physicists are using artificial intelligence to ...

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and therefore that alternative approaches could facilitate or aid their analysis. Monte Carlo simulation comprises a broad class of computational procedures that use randomly generated numbers to ...

We performed a random-effects model within a Bayesian framework using Markov Chain Monte Carlo simulation to ... Multiple treatment meta-analysis was performed using GeMTC R package.21 The statistical ...

Finally, comparative experiments based on actual engineering data are conducted to verify the prediction performance of the method, and a series of simulation experiments based on Monte Carlo ...