A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

Accurate classification of wetland vegetation is essential for biodiversity conservation and carbon cycle monitoring. This study developed an adaptive ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

A new statistical analysis of Nigeria’s 2023 elections says Labour Party (LP) strongholds recorded the highest concentration of irregularities in the polls.

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

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

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

The Fox River serves as the town’s liquid centerpiece, flowing through the heart of the community and providing both scenic ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of today’s silicon-based chips. As ...

Sea foams are caused by algal blooms and can represent large areas in coastal waters during ocean fronts associated with ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...