Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...
expreccs: A Python framework using OPM Flow to simulate regional and site reservoirs for CO2 storage
Simplified and flexible software for two-stage approach (dynamic pressure boundary conditions) to improve CO2 storage regional and site simulations. If you are interested in a specific version (e.g., ...
Abstract: Tensor decomposition has been widely recognized as a promising approach for addressing missing data in traffic flow analysis. Recent studies have demonstrated its effectiveness in capturing ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
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