Surrogate models, both polynomial and ANN-based (artificial neural networks), are
developed to predict the rolling load in cold rolling of flat metals. An accurate but fast model …

Spatial soil sampling is an integral part of a soil survey aimed at describing spatial variability
in soil properties. We propose considering the soil sampling procedure as a task of optimal …

Soil characteristics depend on its various physical, chemical, and biological parameters. Soil
organic matter content (SOMC) is one of the main parameters of soil that affects all of these …

The cLHS is considered as a robust sampling strategy for the selection of representative
samples of the landscape, which uses environmental variables and their multivariate …

High-resolution soil maps are urgently needed by land managers and researchers for a
variety of applications. Digital soil mapping (DSM) allows us to regionalize soil properties by …

In this study, we analyzed the distribution characteristics of ammonia nitrogen, and
evaluated the pollution status of the soil and groundwater in this legacy site. The results …

Abstract Knowledge of environmental factors controlling soil organic carbon (SOC) stocks
can help predict spatial distribution SOC stocks. So, this study was carried out to select the …

En la presente investigación se planteó como objetivo general determinar la relación entre
la publicidad en redes sociales y el posicionamiento de clientes de la Pollería Granja Linda …

El objetivo de esta investigación fue realizar una caracterización de los residuos sólidos
reciclables producidos en la Universidad de la Amazonia y desarrollar un contenedor y …

This paper presents the bootstrap percentile interval and the Bayesian credible interval as
alternatives to the classical frequentist confidence interval for analysis of zero-inflated data …