Tag: attention mechanisms

A 2025 Shandong field study found that attention-guided feature selection enabled a UAV random forest to estimate maize maturity with ...

A computational study reports that ADGB-ONet achieved a 2.88% mean relative error when predicting scattered pressure fields, outperforming the compared ...

A systematic review of 168 primary studies found that 57.14% did not examine the performance–faithfulness relationship, 41.07% reported synergy and ...

A multi-branch deep-learning model reached 98.74% accuracy for oil-presence classification in a held-out synthetic reservoir dataset, but field validation remains ...

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 ...