CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

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

A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

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

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

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...