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 ...
Abstract: The Multivariate Multifractal Spectrum (MV-MFS) theory characterizes joint multifractal properties in multivariate signals. However, existing MV-MFS estimation algorithms, such as those ...
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: Background: Bivariate count data are commonly encountered in medicine, biology, engineering, epidemiology and many other applications. The Poisson distribution has been the model of choice ...
2024 IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks Uncertainty visualization is an emerging research topic in data visualization because ...
Introduction: Accurately predicting the remaining mechanical equipment is of great significance for ensuring the safe operation of the equipment and improving economic efficiency. Methods: To ...
Add a description, image, and links to the eda-by-using-multivariate-and-bivariate-analysis topic page so that developers can more easily learn about it.
Let’s see all these methods in detail. 1] Type exponents in Microsoft Word by inserting an equation The following instructions will help you type exponents by inserting an equation in Word. You can ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback