Tag: deep learning

A new AI framework combining attention-enhanced YOLOv8 and Bald Eagle Optimization achieved 98.94% accuracy in detecting transmission and distribution faults ...

A hybrid deep learning framework for classifying cataract, diabetic retinopathy, glaucoma, and normal retinas dropped from 99.24 percent internal accuracy ...

Pretrained convolutional neural networks classified biological sex from smartphone photographs of palatal rugae with up to 77 percent accuracy in ...

Researchers developed a lightweight SAR building segmentation framework that achieves high accuracy while maintaining computational efficiency for urban mapping.

A new U-Net-based framework uses anatomy-guided, spatially varying regularization to reconstruct chest CT images from sparse-view data with improved performance ...

A systematic review of 75 studies finds ECG-based AI models reporting 90 to 99 percent accuracy, but warns that external ...

A new ensemble deep learning framework called EnPreNiNet, paired with a night image enhancement technique, achieved a reported mean Average ...

A new attention-based neural network that reconfigures its risk logic according to macroeconomic conditions outperformed standard machine learning and statistical ...

A comprehensive narrative review finds that predictive AI can accelerate pollutant hazard assessment, monitoring, and exposure modeling, but only as ...

Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...