Tag: deep learning

A new review maps how artificial intelligence is transforming mosquito identification, disease forecasting, and vector control worldwide.

A new promptable diffusion-enhanced framework achieved 98.1% classification accuracy and a 93.2% Dice score for explainable brain tumor segmentation and ...

A dual-path attention fusion network combining Swin Transformer and frozen DINOv2 features reached 99.24% accuracy on a leakage-screened hold-out test ...

A published study reports that a Big Bang-Big Crunch optimized Peephole LSTM model classified course records in a 10,000-record dataset ...

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 ...