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

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

Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Abstract: This paper presents a rolling horizon-based energy exchange in a building-to-building (B2B) grid using a game theory method. The system combines the predictive capability of long-short-term ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

AI market forecasting uses predictive analytics and strategic planning tools to anticipate demand shifts, optimize decisions, ...

The "In Silico Clinical Trials Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets.com's offering. The in silico clinical trials market is undergoing rapid transformation, ...

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...