CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Miniaturized electronics and intricate objects require a certain finesse. Researchers have looked into the development of a ...

Well, nine years later, artificial intelligence in agriculture isn’t just for the scientists. A tool developed by the four ...

The complex sugar molecules that festoon our cells are often treated as little more than biological decoration. A new study ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...