A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Abstract: Accurately classifying colorectal polyps, or differentiating malignant from benign ones, has a significant clinical impact on early detection and identifying optimal treatment of colorectal ...
Abstract: Remote sensing (RS) scene classification is challenging due to changes in the scale and direction of scenes within a category. Bilinear pooling method can extract higher-order and spatial ...
Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
⚽ World Cup 2026 👨🍳 From chef to sheriff's deputy ⚾ Mason Miller headed to All-Star Game 🧢 10 sports records 🎡 S.D. County Fair guide Democrats want a supermajority on the Board of Supervisors.
Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...
Health care is the discipline concerned with the provision and delivery of health services to a patient population by personnel in professional and allied health occupations. Large language models ...
Your browser does not support the audio element. Facial recognition is a biometric solution that measures unique characteristics about one’s face. Applications ...
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Conclusion: The optimized ResNet-18 achieved accurate and stable MH staging using OCT images under a standardized training framework. Compared with deeper CNN and Transformer-based architectures, the ...
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