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

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

You might see your career as separate from your internal world. Arthur Brook’s four path career model suggests, however, that ...

Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...