Tag: attention mechanism

Researchers at Sun Yat-sen University have developed an improved convolutional prototype network that classifies known environmental sounds and rejects unknown ...

A new difficulty-aware Transformer framework jointly optimized by particle swarm intelligence improves sports score trend prediction while attributing forecasts to ...

A new deep learning model combines diffusion-style state propagation with Mamba-based sequence modeling and window attention to grade ulcerative colitis ...

A new detection framework combines hybrid attention, a slim dynamic head, and a novel loss function to spot crop diseases ...

A new cloud-edge AI framework called SMWPF combines a lightweight edge predictor with a Qwen-based cloud model to cut wind ...

A new study from King Saud University in Riyadh shows that attention-enhanced deep learning models trained on detailed environmental data ...

Researchers have developed a wavelet-transform-based pedestrian detection model that improves accuracy on crowded benchmarks while cutting parameters by nearly 40 ...

A hybrid CNN–BiLSTM network with additive attention classifies brain MRI into four Alzheimer's disease stages with 95.94% slice-level accuracy, while ...

A new deep learning architecture called FrDPalmNet combines fractional calculus, dual attention, and densely connected blocks to push palmprint-based biometric ...

Deep learning models trained on noisy acoustic signals can classify and localize natural gas pipeline leaks with over 99% accuracy, ...