Shield tunneling has been prevalent in tunnel construction since its introduction into the
field. To take advantage of the massive data generated during tunneling and to assist in …

Chemical toxicity evaluations for drugs, consumer products, and environmental chemicals
have a critical impact on human health. Traditional animal models to evaluate chemical …

Evaporation is an important hydrological process in the water cycle, especially for water
bodies. Machine Learning (ML) models have become accurate and powerful tools in …

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 …

Monte Carlo methods have attracted constant and even increasing attention in structural
reliability analysis with a wide variety of developments seamlessly presented over decades …

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 …

Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …

An increase in urban vegetation is an often proposed mitigation strategy to reduce urban
heat and improve outdoor thermal comfort (OTC). Vegetation can alter urban microclimate …

This chapter makes a review, in a complete methodological framework, of various global
sensitivity analysis methods of model output. Numerous statistical and probabilistic tools …

This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …