Tag: deep learning

A hybrid deep learning framework that combines ant colony optimization with a spatio-temporal variational autoencoder recognized nine opera teaching postures ...

A controlled study of 3,600 runs finds normalization schemes help mainly at shallow depths while graph homophily predicts how accuracy ...

Deep learning models trained on pre-procedural ultrasound videos predicted the success of transcatheter mitral valve edge-to-edge repair with an AUC ...

A new study from Bahawalpur, Pakistan, finds that transformer models, led by the Swin Transformer, classify cotton leaf diseases more ...

A physics-aware, uncertainty-guided deep learning surrogate has been shown to replace expensive circuit simulations when optimizing ultra-low-power amplifiers for biosignal ...

A new review maps how artificial intelligence is transforming epilepsy diagnosis, seizure prediction, personalized treatment and long-term management, while warning ...

A hybrid ResNet50 and Transformer model achieved 89.7 percent accuracy on the FER2013 facial emotion benchmark, with an ablation study ...

A new review describes how AI-based imaging and sensing technologies can detect packaging film defects that traditional meat inspection methods ...

A Vision Transformer and a convolutional neural network identified Laguerre-Gaussian beam topological charges up to 50 from tiny speckle patches, ...

A new framework called EvoLatent-FS uses evolutionary feature optimization before variational encoding to learn more compact and discriminative latent representations ...