The digital economy is increasingly driven by intelligent systems that process enormous volumes of behavioral information. Platforms across entertainment, finance, and iGaming rely on machine learning ...

Abstract: A probabilistic Boolean control network (PBCN) is a binary discrete-time system that utilizes probability values. An important application of PBCN is in gene regulatory network (GRN), ...

Low-rank data analysis has emerged as a powerful paradigm across applied mathematics, statistics, and data science. With the rapid growth of modern datasets in size, dimensionality, and complexity, ...

Researchers at the Icahn School of Medicine at Mount Sinai in New York, Boston Medical Center, and Boston University School of Medicine have developed software to help scientists more easily analyze ...

Introduction Updated conveyance algorithms prioritizing direct transport of out-of-hospital cardiac arrest (OHCA) patients to Cardiac Arrest Centres (CACs) have shown promise in observational studies, ...

Strength anisotropy and heterogeneous rotated anisotropy are prevalent phenomena in natural slopes. Previous studies have underscored their significance in slope stability analysis. However, in ...

The new Guidelines contain some key provisions for innovator companies active in the AI-sphere, including the clear prohibition on AI systems being named as inventors and AI-related patents ...

ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...