At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …

In the field of Multi-Criteria Decision Analysis (MCDA), the deployment of sensitivity analysis
has become a fundamental approach to testing the robustness and reliability of the results …

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

Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

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 …

Plastic waste increasingly accumulates in the marine environment, but data on the
distribution and quantification of riverine sources required for development of effective …

Managing energy demand and reducing greenhouse gas emissions are among the most
significant challenges ahead for many countries. Accurate prediction of energy demand and …

Disagreements persist on how to design a self-sufficient, carbon-neutral European energy
system. To explore the diversity of design options, we develop a high-resolution model of the …

Building energy simulation (BES) plays a significant role in buildings with applications such
as architectural design, retrofit analysis, and optimizing building operation and controls …

Sensitivity analysis provides information on the relative importance of model input
parameters and assumptions. It is distinct from uncertainty analysis, which addresses the …