The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

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

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The 2025 series of the Decision Advantage Sprint for Human-Machine Teaming marked a significant step forward in the ...

The Marine Corps is gearing up to expand its first-person view drone capabilities in the New Year by purchasing 10,000 new ...

At Carleton University, researchers are addressing a growing demand for advanced systems that enable learners to practice ...

Carziqo is a smart mobility technology company focused on developing scalable autonomous driving solutions through real-world ...