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 ...

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

Researchers have developed light-transmitting hydrogel fibers that are just hundreds of micrometers in diameter. With further ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

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

In times past, when we wanted to know which team would win the World Cup, we had to turn to seers with crystal balls, use divination via tea leaves, or hope for Paul the Octopus to tell us what would ...

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...