Tag: deep learning

A controlled benchmark from El Salvador found that the lightweight hybrid MobileViT-v2-100 model reached 96.45 percent accuracy in classifying sugarcane ...

A new comparison of three SWOT-derived ocean mapping products over the North Atlantic reveals a scale-dependent trade-off between large-scale accuracy ...

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to ...

Researchers have developed CL3AN-GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost ...

Researchers have unveiled EEG-UDAF, an unsupervised domain adaptation framework that fuses dual-view frequency features with spatio-temporal modeling to recognize emotions ...

A new deep learning framework dramatically improves the calibration of ocean biogeochemical models and the reconstruction of plankton dynamics despite ...

Researchers at Shanxi University have developed a YOLO-seg-based instance segmentation system that automatically identifies and classifies five types of deterioration ...

A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...

Researchers have combined an Enhanced-Value attention scheme within a Swin Transformer with super-resolution-guided training to improve detection of tiny objects ...

A new systematic review of 28 studies finds that deep learning detects vulnerable carotid plaques with a pooled AUC of ...