This study analyzes prevalence growth rates across regions using UNAIDS data and statistical modeling to forecast trends through 2050. Globally, the 95–95–95 targets are projected to be achieved by ...

This descriptive summary of the network's data sources enhances transparency and supports broader efforts to scale federated research. These findings demonstrate EHDEN’s potential to enable ...

The data nerds are fighting back. After watching data sets be altered or disappear from U.S. government websites in unprecedented ways after President Donald Trump began his second term, an army of ...

Abstract: As artificial intelligence (AI) continues to gain prominence, understanding its application in customer relationship management (CRM) has become increasingly critical. Advances in computing ...

Statistics for Data Science is a Git project that explores fundamental statistical concepts essential for data analysis and machine learning. It covers topics like descriptive statistics, probability ...

ABSTRACT: Singh, Gewali, and Khatiwada proposed a skewness measure for probability distributions called Area Skewness (AS), which has desirable properties but has not been widely applied in practice.

Abstract: Because of their high temporal resolution, increased resilience to motion blur, and very sparse output, event cameras have been shown to be ideal for low-latency and low-bandwidth feature ...

Armenia has addressed one of its most pressing statistical challenges in a groundbreaking collaboration between the World Bank’s Poverty and Equity Global Department, WorldPop at the University of ...