Machine learning maps suggest that about 180 to 220 million people may rely on untreated groundwater with manganese above the ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

Abstract: The ever-growing threat of phishing emails presents a considerable hurdle to the security of individuals and organizations. In response, researchers have explored innovative approaches to ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

For each league, the application computes several statistics (features) about the teams, including their form, the performance of the last N matches, etc. The stats are computed for both the home team ...

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

The purpose of the research is to compare Random Forest (RF) Algorithm methods to Extra Trees (ET) Classification algorithms for detecting the Disk Filtration attacks in air gapped computers.

Using different pairs of loaded dice, the result of each match in the World Cup can be simulated. We took into account the official tournament draw and all FIFA rules, including the possibility of ...