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

Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...

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

If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

BMW has long been synonymous with the ultimate driving machine. But as we hurtle toward an increasingly connected future, the ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

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 ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of these environments lack natural or artificial light, making it difficult for ...

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