Tag: attention mechanisms

A hybrid AI recommendation system that combines specialized expert routing with neural modeling of reading behavior reached 81.23% recall for ...

Researchers at Xinjiang University developed BGAFS-UNet, a boundary-aware deep learning architecture that improves retinal vessel segmentation fidelity while openly documenting ...

A new RGB-depth salient object detection framework combines multi-level attention-based feature fusion with a WebP compression and denoising defense that ...

A new explainable deep learning architecture combines pyramid spatial atrous channel attention with ResNet50V2 to detect pulmonary fibrosis on chest ...

Researchers at Dalian Maritime University have developed ESTGCN, a graph neural network that dynamically rewires regional traffic relationships to deliver ...

Researchers at VIT-AP University have developed TF-Mamba-DPHNet, a compact Mamba-based AI framework that removes noise from speech while preserving fine ...

Researchers have built a 10.97-million-parameter neural network that classifies brain tumors on MRI with 99.2 percent accuracy while quantifying its ...

Researchers at Durham University have developed a dual-stream neural network that applies parallel attention to sensor modalities and time steps, ...

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

A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT scans and ...