Tag: Deep learning
Fused AI framework classified enamel caries with high accuracy
Automated detection of early tooth decay in photographs using AI with visual explanations
LPS-GNN scales graph learning to 100-billion-edge graphs
Scaling graph neural networks to billions of edges on single GPUs
Geospatial foundation models improved tree species mapping accuracy
Pretrained satellite models identify tree species with less training data
Binarized MLP-Mixer trained successfully on MNIST
Reducing MLP-Mixer neural networks to binary weights for edge device deployment
Hybrid deep learning improved edge-cloud task scheduling in simulation
Smart task scheduling for edge-cloud systems using deep learning
Adaptive music generation improved emotional matching
Creating music that adapts in real time to how you feel
Vision–language model improved pediatric dental disease classification
Combining images and text to detect tooth decay and infections in children's dental X-rays
