The study provides a roadmap for modernizing emergency response infrastructure. In large-scale disasters, time is the most ...

Computers found what human experts missed: a divide between aging biology research and patient care that decades of funding ...

THRO uses AI-driven, tactical theme rotation focused on large-cap U.S. equities, currently overweighting technology. Read ...

Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.

Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...

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

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

An impression of the large-scale structure of the universe, showing galaxy clusters and superclusters arranged in long filaments and concentrated at nodes. Mark Garlick / Science Photo Library via ...

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 ...

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...