Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

Hongwei Li’s team from China University of Geosciences published a research article titled “scSCC: A swapped contrastive ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

A random transformation and hybrid multiview learning-based clustering ensemble method (RTHMC) is then designed to synthesize the multiview clustering results. Second, a new random subspace ...

This study investigates enhancing airfoil grid generation's automation and computational efficiency in aerospace engineering using reinforcement learning and Graph Convolutional Networks (GCNs).