In this study, a multivariate adaptive regression splines (MARS) model has been developed
to predict the settlement of shallow reinforced sandy soil foundations (RSSFs). The potential …

Conventional time-series prediction methods for natural gas consumption mainly focus on
capturing the temporal feature, neglecting static and dynamic information extraction. The …

Since their origins, human societies have integrated into the natural environment, where
social metabolism that identified the interactions between society and nature was …

The application of recycled aggregate as a sustainable material in construction projects is
considered a promising approach to decrease the carbon footprint of concrete structures …

Abstract Asset and Liability Management (ALM) is a critical framework for pension funds,
ensuring they have sufficient assets to meet future liabilities (pension payments) while …

Abstract The Gaussian Graphical Model (GGM) and its Bayesian alternative, called, the
Gaussian copula graphical model (GCGM) are two widely used approaches to construct the …

Project cost prediction is one of the key elements in the civil engineering activities
development. Project cost is a highly sensitive component to diverse parameters and hence …

This study delved into the concept of “time investment” by examining negative comments
from players. It conducted a comprehensive analysis of how time investment and external …

Non-invasive ventilators (NIV) are widely utilized in managing both acute and chronic
respiratory failure. Operating by delivering oxygenated air into the lungs through positive air …

Earthquake research has not yielded promising results, either in the form of causes or
revealing the timing of their future events. Many methods have been developed, one of …