Tag: channel attention

Researchers have built a lightweight AI system that detects epileptic seizures in EEG recordings from patients it has never seen, ...

A new lightweight deep learning framework called LCASP-MMANet achieves state-of-the-art sign language recognition accuracy while remaining efficient enough for real-world, ...

A new multi-scale deep learning framework called Rain-PostEFNet substantially improves numerical weather prediction rainfall forecasts, with the largest gains in ...

Researchers at Harbin Institute of Technology have shown that sensors inside ordinary buildings, combined with building-specific hybrid deep learning models, ...

Researchers at IIITDM Kancheepuram have developed DECA-YOLO, a lightweight dual-pooling channel attention enhancement to YOLOv7 that improves real-time pedestrian detection ...

A new deep learning framework called EEG-SDL-Net combines Kolmogorov–Arnold networks, Sobel-based temporal enhancement, and channel attention to classify EEG signals ...

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