Deep Learning Model Achieves 93.52% Accuracy in Ancient Ge’ez Manuscript Recognition
Researchers from Ethiopia have developed a deep convolutional neural network capable of recognizing characters in ancient Ethiopic Ge'ez manuscripts with ...
Researchers from Ethiopia have developed a deep convolutional neural network capable of recognizing characters in ancient Ethiopic Ge'ez manuscripts with ...
A 49-qubit fragment-encoded quantum convolutional neural network running on IBM's Heron r2 processor classified full-resolution images without classical preprocessing.
A multi-phase MRI deep learning model combined with clinical predictors differentiated hepatocellular carcinoma from mass-forming intrahepatic cholangiocarcinoma with AUCs of ...
Researchers at Sun Yat-sen University have developed an improved convolutional prototype network that classifies known environmental sounds and rejects unknown ...
Diabetic foot ulcers are among the most feared complications of diabetes, and now a team of researchers in India has ...
A convolutional neural network trained on rigorous European in situ radiometry now retrieves 13 phytoplankton pigments from Sentinel-3 OLCI, with ...
A deep learning model small enough to fit in roughly three megabytes of memory has been trained to spot epileptic ...
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© 2025 Scienmag - Science Magazine