A team of Chinese researchers has developed an AI-based modeling approach that revolutionizes the prediction of complex ...
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In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...
Nonlinear Modeling and Identification of Doubly Fed Induction Machines Under Varying Grid Conditions
Abstract: Historically, grid-connected synchronous machines have formed the grid voltage and frequency. Today, the high penetration of inverter-based resources poses challenges to grid stability, as ...
Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern ...
This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.
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