In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...
A team of Chinese researchers has developed an AI-based modeling approach that revolutionizes the prediction of complex ...
Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
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 ...
A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Researchers identified a major decline in neural activity and retention when students used AI for writing. We need to empower ...
Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...
Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...
A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...