: Machine learning algorithms, such as Random Forest , are used to predict UV radiation levels to study environmental health effects.
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ML models (e.g., regression, reinforcement learning) can: : Machine learning algorithms, such as Random Forest
One critical risk of UV-C is accidental human exposure. ML-powered cameras (Edge Tensor Processing Units) distinguish between a mop bucket (safe for UV) vs. a janitor (unsafe). Using an (e.g., YOLOv8 trained on school environments), the system shuts off UV within 0.2 seconds of detecting a human silhouette. a janitor (unsafe)
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