Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic collections. By automatically verifying body-part, ...
Abstract: Infrared detection imaging technology primarily relies on the interaction between objects and infrared radiation, featuring strong anti-interference capabilities and excellent concealment.
Abstract: We developed a Random Forest model to classify optically deep and optically shallow water pixels in Sentinel-2 imagery. The model was trained and tested on a global dataset of pixels ...
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