Tag: deep learning

Researchers have developed a dual-stream convolutional neural network that fuses RGB imagery with vectorized Error Level Analysis and CBAM attention ...

Researchers at Yunnan University have developed SFMD-Net, a DINOv3-based AI framework that fuses semantic and frequency features to detect small, ...

Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice varieties with up to ...

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

Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...

A new computational framework called STARIT converts the spatial positions of mRNA molecules inside cells into image tensors, allowing deep ...

Researchers have built an explainable ensemble deep learning framework that fuses four transfer learning models using CMAES optimization to classify ...

A fully automated deep learning system called CFAPS segments carotid plaques on multi-contrast MRI and classifies their vulnerability in under ...

Researchers have built a transformer-based intrusion detection framework that models relationships among network traffic features and outperforms nine baseline AI ...

Researchers have developed a lightweight deep learning framework that grades early sugarcane pokkah boeng disease severity on a smartphone with ...