Tag: deep learning

Researchers have developed CROWN, a self-supervised visual foundation model pretrained on more than ten million cytology images that achieved top ...

A compact convolutional neural network developed by Indian researchers outperforms standard machine learning for Cherenkov telescope gamma-ray classification while training ...

Turkish researchers show that behavior-preserving code refactoring used to synthesize training data, combined with GraphCodeBERT embeddings, markedly improves deep learning ...

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 a deterministic duel-based imputation framework that selects missing-data replacements by directly testing candidates against forecasting performance, cutting ...

Peruvian researchers combined close-range drone imagery with two YOLOv8 deep learning models to detect Hass avocados and classify their ripeness ...

A comprehensive review shows that artificial intelligence, from hyperspectral sensing and climate-driven forecasting to autonomous drones and ground robots, is ...

A new AI framework called the Content-Decoupled Schrödinger Bridge translates fast light-microscopy images into electron-microscopy-like detail, accelerating key stages of ...

A new self-supervised domain adaptation framework uses monocular depth foundation models and consistency-aware learning to make stereo matching networks reliable ...

A new dual-branch deep learning framework combining GAN-based super-resolution and transformer spectral modeling achieves over 99 percent accuracy classifying hyperspectral ...