Recent advances in artificial intelligence (AI) have led to its widespread industrial adoption,
with machine learning systems demonstrating superhuman performance in a significant …

In recent times, composite indicators have gained astounding popularity in a wide variety of
research areas. Their adoption by global institutions has further captured the attention of the …

Este documento trata de poner en conocimiento al lector, de las bases conceptuales y de
las herramientas metodológicas aplicables al proceso de diseño, cálculo y análisis de un …

Sensitivity analysis is now considered a standard practice in environmental modeling.
Several open-source libraries, such as the Sensitivity Analysis Library (SALib), have been …

Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

Computer simulation experiments are essential to modern scientific discovery, whether that
be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are …

Abstract Cardiac digital twins (Cardiac Digital Twin (CDT) s) of human electrophysiology
(Electrophysiology (EP)) are digital replicas of patient hearts derived from clinical data that …

SALib contains Python implementations of commonly used global sensitivity analysis
methods, including Sobol (Sobol'2001, Andrea Saltelli (2002), Andrea Saltelli et al.(2010)) …

The solution of several operations research problems requires the creation of a quantitative
model. Sensitivity analysis is a crucial step in the model building and result communication …

Xylella fastidiosa is the causal agent of plant diseases that cause massive economic
damage. In 2013, a strain of the bacterium was, for the first time, detected in the European …