Tag: attention mechanism

Researchers have developed a time-frequency gated transformer that reconstructs the full dynamic response of structures from sparse vibration sensor data, ...

Researchers at Fujian Agriculture and Forestry University have developed GDE-YOLO, a lightweight deep learning model that detects tea leaf diseases ...

Researchers have developed a frequency-domain AI network that detects periodic patterns in human check-in data to predict a user's next ...

Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...

A new multimodal Transformer framework called MFT-Net dynamically re-weights clicks, speech, gestures, and facial expressions to recognize 18 categories of ...

Researchers have developed CADE, a lightweight semi-supervised AI framework that predicts and generates future satellite imagery with high accuracy and ...

Researchers in India have developed a lightweight hybrid CNN-LSTM deep learning framework that detects cardiac arrhythmias from ECG signals with ...

Researchers have developed a dual-path attention-augmented ResNet that recognizes radar jamming signals with 97.07 percent accuracy even at jamming-to-noise ratios ...

Researchers have developed MPANet, a multi-modal deep learning network that fuses raw radio signal sequences with Markov Transition Field images ...

Researchers have developed a compact four-block residual attention network that classifies Alzheimer's disease and brain tumors from MRI scans with ...