Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: Inverse imaging problems are inherently underdetermined, and hence, it is important to employ appropriate image priors for regularization. One recent popular prior-the graph Laplacian ...

Abstract: Although convolutional neural networks (CNNs) have shown superior performance to traditional machine learning algorithms for hyperspectral image (HSI) classification tasks, the ability of ...

The history of computers began with primitive designs in the early 19th century and went on to change the world during the 20th century. When you purchase through links on our site, we may earn an ...

This project was built for the Hochschule Bremen City University of Applied Sciences. The task was to create a program which uses JavaCC to parse any character sequence and interpret it. Therefore, I ...

Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...