Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

Spectral Structure-Aware Initialization and Probability-Consistent Self-Training for Cross-Scene Hyperspectral Image Classification

Abstract: Cross-scene classification of hyperspectral images (HSIs) aims to classify target domain (TD) data using only labeled source domain (SD) data and unlabeled TD data during training. However, ...
IEEE

RandomViG: Random Vision Graph Neural Network for Image Classification

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG’s ...
GitHub

Paulfor7/matlab-edge-group-classification

This standalone MATLAB project generates edge groups from images, converts manual polyline annotations into edge-group labels, and trains RF and PCA/SVM classifiers. The repository includes the ...
TechCrunch

Apple’s Image Playground doesn’t suck anymore

Have you ever used the Image Playground app on your iPhone? Probably not — and you might not even know that your phone has a built-in AI image-generation tool. That’s because until now, Image ...