Diffusion-generated images sharpen AI detection of faulty power grid insulators
Researchers combined a conditional diffusion model, a hypertuned YOLO26x detector and a Swin-V2-B classifier with a new SHAP-CAM explainability method ...
Researchers combined a conditional diffusion model, a hypertuned YOLO26x detector and a Swin-V2-B classifier with a new SHAP-CAM explainability method ...
A lightweight dual-branch AI framework called NeuroCST classified Alzheimer's disease stages from MRI scans with 98.42 percent accuracy while using ...
A multi-phase MRI deep learning model combined with clinical predictors differentiated hepatocellular carcinoma from mass-forming intrahepatic cholangiocarcinoma with AUCs of ...
A dual-confirmation framework combining partial lag correlation matrices and Granger causality improved multi-region electricity load forecasting in 25 of 54 ...
Researchers built a hybrid host-level dataset of 5,326 ransomware and goodware executions with 392 features, achieving F1-scores of 0.982 for ...
A multicenter retrospective study reports that a fusion model combining MRI habitat radiomics, Vision Transformer deep learning features and clinical ...
A hybrid deep learning model fusing MobileNetV3, DenseNet121, and DINOv2 achieved up to 99.3% accuracy in classifying five types of ...
Researchers report an IoT-and-deep-learning framework that captured nearly 3,000 music recordings and achieved 94% accuracy in recognising traditional music patterns ...
A new review of 75 studies proposes a unified data-driven framework linking polymer 3D printing defects, multi-sensor monitoring, and machine ...
A retrospective study of 512 ICU patients reports a multimodal deep-learning framework that segments CT lesions in ventilator-associated pneumonia and ...
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© 2025 Scienmag - Science Magazine