Tag: attention mechanism

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 ...

Researchers in China combined explainable machine learning with geographic terrain features to accurately predict and map devastating late-spring frost risks ...