AI Ensemble of Vision Transformers Detects Voice Disorders With Record Accuracy
Researchers in Kerala combined DinoV3, EVA-02, and MaxViT vision transformers into a boosted, calibrated voting ensemble that detects six laryngeal ...
Researchers in Kerala combined DinoV3, EVA-02, and MaxViT vision transformers into a boosted, calibrated voting ensemble that detects six laryngeal ...
Researchers at Tsinghua University have developed a Series Saliency module guided by large language models that improves the accuracy and ...
Researchers at the University of Malta and the University of Pittsburgh trained a modified U-Net on 95,000 synthetic microscopy images ...
A comparative study of 104 liver cancer patients shows that geometric, perfusion-based, and deep learning models each excel at different ...
Researchers at Heidelberg University and HeiGIT used artificial intelligence and PlanetScope satellite imagery to create an open-access dataset classifying more ...
Researchers report that a data-efficient vision transformer classified lung cancer histopathology images with 98.64 percent accuracy and near-perfect AUC while ...
Technion researchers show that when multiple evolutionary paths offer equal fitness, populations deterministically drift toward flatter, more robust regions of ...
Brazilian researchers used a YOLO-based deep learning model to quantify internal insect injury in sugarcane stalks, showing that continuous injury ...
Researchers have developed a transformer-based framework with local-global attention that identifies writers from scanned handwriting without reading the text, achieving ...
Researchers have built an explainable hybrid deep learning framework that predicts India's Air Quality Index with unprecedented accuracy while tolerating ...
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© 2025 Scienmag - Science Magazine