This project develops machine learning ML surrogate models to approximate the performance of a binary distillation column. Process data is generated using DWSIM, an open-source process simulator, by ...
Project Bivariate and Multivariate Colormapping, which resolves github.com//issues/14168 is divided into a number of milestones, of which this is one (highlighted in ...
Abstract: Analytic combinatorics in several variables is a branch of mathematics that deals with deriving the asymptotic behavior of combinatorial quantities by analyzing multivariate generating ...
Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...
ABSTRACT: Copulas are multivariate distribution functions with uniform marginal distributions. In this paper, we study a class of copulas called radial copulas, which is derived from residual ...
2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks Uncertainty visualization is an emerging research topic in data visualization because ...
ABSTRACT: Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify ...
Functional connectivity analyses are typically based on matrices containing bivariate measures of covariability, such as correlations. Although this has been a fruitful approach, it may not be the ...
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