By showing practical ways to detect when and where these defects form, US researchers can help make future devices more ...
Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...
Future devices will continue to probe the frontier of the very small, and at scales where functionality depends on mere atoms, even the tiniest flaw matters. Researchers at Rice University have shown ...
Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...
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