Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Background One in seven households in England live in accommodation not meeting housing quality standards. Low-quality ...

This two-step method used in recent class actions, referred to as “in-sample prediction,” has been accepted by several courts to date. The authors, however, posit that the method is unreliable and ...

For IFC2x3 it doesn't export a usable object. In Solibri no entity is visible in the model structure: In BIM Collab Zoom there is an entity visible in the model structure but it does not show any ...

A new study published in Sustainability demonstrates that machine learning (ML) algorithms can reliably predict the compressive strength of concrete incorporating waste ground glass powder (GGP) as a ...

A new assessment of 18 Center for Medicare and Medicaid Innovation models reaffirms recent criticism of the agency’s aggregate cost savings—or more accurately, losses—while highlighting several ...

In order to improve bearing capacity and service life of marine structure using marine UHPC with coarse aggregate (UHPC-CA), it is necessary to reasonably predict the performance of UHPC-CA. The ...

Abstract: The thermal inertia of buildings brings considerable flexibility to the building heating and cooling loads, which is believed to be a promising demand response resource in energy systems.

ABSTRACT: The current limitation in maintenance budget and resources necessitates developing new cost-effective techniques for gravel roads management systems (GRMS). Thus, the Wyoming Technology ...