While AI runs on algorithms, it also requires electricity, and in large volumes. This rapid expansion could reshape the country’s power landscape as data centres are emerging as large, complex and hig ...

Data analysis shows over half of Winter Olympic medal variation can be explained by climate, GDP per capita and population ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

The present study analyzes the performance of Airbnb listings in terms of occupancy rate, number of bookings, and revenue, ...

Michelle Lee, PhD, unpacks how physical AI that integrate scientific reasoning with the wet lab will accelerate biological discovery.

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

Objective Socioeconomic inequalities significantly impact access to healthcare services for individuals with type 2 diabetes mellitus (T2DM). This study investigates these inequalities in Iran, ...

Each data source formats and structures the multi-dimensional data in slightly different ways. We prefer the Pre-Sep 24 format, as many of our other codebases were built using this structure, it's ...

Abstract: Influence maximization (IM) aims to select a seed set of users that maximizes the expected influence spread and is a fundamental problem in social network analysis. The dynamic and complex ...

Abstract: Data association and filter robustness are two key problems for general multiple target tracking. Classic data association methods have high computational complexity, and the gold standard ...

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...